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TRY – a global database of plant traits

Identifieur interne : 002563 ( Pmc/Corpus ); précédent : 002562; suivant : 002564

TRY – a global database of plant traits

Auteurs : J. Kattge ; S. Díaz ; S. Lavorel ; I C Prentice ; P. Leadley ; G. Bönisch ; E. Garnier ; M. Westoby ; P B Reich ; I J Wright ; J H C. Cornelissen ; C. Violle ; S P Harrison ; P M Van Bodegom ; M. Reichstein ; B J Enquist ; N A Soudzilovskaia ; D D Ackerly ; M. Anand ; O. Atkin ; M. Bahn ; T R Baker ; D. Baldocchi ; R. Bekker ; C C Blanco ; B. Blonder ; W J Bond ; R. Bradstock ; D E Bunker ; F. Casanoves ; J. Cavender-Bares ; J Q Chambers ; F S Chapin ; J. Chave ; D. Coomes ; W K Cornwell ; J M Craine ; B H Dobrin ; L. Duarte ; W. Durka ; J. Elser ; G. Esser ; M. Estiarte ; W F Fagan ; J. Fang ; F. Fernández-Méndez ; A. Fidelis ; B. Finegan ; O. Flores ; H. Ford ; D. Frank ; G T Freschet ; N M Fyllas ; R V Gallagher ; W A Green ; A G Gutierrez ; T. Hickler ; S I Higgins ; J G Hodgson ; A. Jalili ; S. Jansen ; C A Joly ; A J Kerkhoff ; D. Kirkup ; K. Kitajima ; M. Kleyer ; S. Klotz ; J M H. Knops ; K. Kramer ; I. Kühn ; H. Kurokawa ; D. Laughlin ; T D Lee ; M. Leishman ; F. Lens ; T. Lenz ; S L Lewis ; J. Lloyd ; J. Llusià ; F. Louault ; S. Ma ; M D Mahecha ; P. Manning ; T. Massad ; B E Medlyn ; J. Messier ; A T Moles ; S C Müller ; K. Nadrowski ; S. Naeem ; Ü Niinemets ; S. Nöllert ; A. Nüske ; R. Ogaya ; J. Oleksyn ; V G Onipchenko ; Y. Onoda ; J. Ordo Ez ; G. Overbeck ; W A Ozinga ; S. Pati O ; S. Paula ; J G Pausas ; J. Pe Uelas ; O L Phillips ; V. Pillar ; H. Poorter ; L. Poorter ; P. Poschlod ; A. Prinzing ; R. Proulx ; A. Rammig ; S. Reinsch ; B. Reu ; L. Sack ; B. Salgado-Negret ; J. Sardans ; S. Shiodera ; B. Shipley ; A. Siefert ; E. Sosinski ; J-F Soussana ; E. Swaine ; N. Swenson ; K. Thompson ; P. Thornton ; M. Waldram ; E. Weiher ; M. White ; S. White ; S J Wright ; B. Yguel ; S. Zaehle ; A E Zanne ; C. Wirth

Source :

RBID : PMC:3627314

Abstract

Plant traits – the morphological, anatomical, physiological, biochemical and phenological characteristics of plants and their organs – determine how primary producers respond to environmental factors, affect other trophic levels, influence ecosystem processes and services and provide a link from species richness to ecosystem functional diversity. Trait data thus represent the raw material for a wide range of research from evolutionary biology, community and functional ecology to biogeography. Here we present the global database initiative named TRY, which has united a wide range of the plant trait research community worldwide and gained an unprecedented buy-in of trait data: so far 93 trait databases have been contributed. The data repository currently contains almost three million trait entries for 69 000 out of the world's 300 000 plant species, with a focus on 52 groups of traits characterizing the vegetative and regeneration stages of the plant life cycle, including growth, dispersal, establishment and persistence. A first data analysis shows that most plant traits are approximately log-normally distributed, with widely differing ranges of variation across traits. Most trait variation is between species (interspecific), but significant intraspecific variation is also documented, up to 40% of the overall variation. Plant functional types (PFTs), as commonly used in vegetation models, capture a substantial fraction of the observed variation – but for several traits most variation occurs within PFTs, up to 75% of the overall variation. In the context of vegetation models these traits would better be represented by state variables rather than fixed parameter values. The improved availability of plant trait data in the unified global database is expected to support a paradigm shift from species to trait-based ecology, offer new opportunities for synthetic plant trait research and enable a more realistic and empirically grounded representation of terrestrial vegetation in Earth system models.


Url:
DOI: 10.1111/j.1365-2486.2011.02451.x
PubMed: NONE
PubMed Central: 3627314

Links to Exploration step

PMC:3627314

Le document en format XML

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<name sortKey="Casanoves, F" sort="Casanoves, F" uniqKey="Casanoves F" first="F" last="Casanoves">F. Casanoves</name>
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<name sortKey="Chapin, F S" sort="Chapin, F S" uniqKey="Chapin F" first="F S" last="Chapin">F S Chapin</name>
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<name sortKey="Chave, J" sort="Chave, J" uniqKey="Chave J" first="J" last="Chave">J. Chave</name>
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<nlm:aff id="au26">
<institution>Laboratoire Evolution et Diversité Biologique, CNRS</institution>
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<name sortKey="Coomes, D" sort="Coomes, D" uniqKey="Coomes D" first="D" last="Coomes">D. Coomes</name>
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<institution>Department of Plant Sciences, University of Cambridge</institution>
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<name sortKey="Cornwell, W K" sort="Cornwell, W K" uniqKey="Cornwell W" first="W K" last="Cornwell">W K Cornwell</name>
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<name sortKey="Craine, J M" sort="Craine, J M" uniqKey="Craine J" first="J M" last="Craine">J M Craine</name>
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<name sortKey="Dobrin, B H" sort="Dobrin, B H" uniqKey="Dobrin B" first="B H" last="Dobrin">B H Dobrin</name>
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<institution>Department of Ecology and Evolutionary Biology, University of Arizona</institution>
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<name sortKey="Duarte, L" sort="Duarte, L" uniqKey="Duarte L" first="L" last="Duarte">L. Duarte</name>
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<institution>Departamento de Ecologia, Federal University of Rio Grande do Sul</institution>
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<name sortKey="Durka, W" sort="Durka, W" uniqKey="Durka W" first="W" last="Durka">W. Durka</name>
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<nlm:aff id="au30">
<institution>Department of Community Ecology, Helmholtz Centre for Environmental Research</institution>
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<name sortKey="Elser, J" sort="Elser, J" uniqKey="Elser J" first="J" last="Elser">J. Elser</name>
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<nlm:aff id="au31">
<institution>School of Life Sciences, Arizona State University</institution>
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<name sortKey="Esser, G" sort="Esser, G" uniqKey="Esser G" first="G" last="Esser">G. Esser</name>
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<institution>Institute for Plant Ecology, Justus-Liebig-University</institution>
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<name sortKey="Estiarte, M" sort="Estiarte, M" uniqKey="Estiarte M" first="M" last="Estiarte">M. Estiarte</name>
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<institution>Global Ecology Unit CREAF-CEAB-CSIC, Universitat Autònoma de Barcelona</institution>
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<name sortKey="Fagan, W F" sort="Fagan, W F" uniqKey="Fagan W" first="W F" last="Fagan">W F Fagan</name>
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<name sortKey="Fang, J" sort="Fang, J" uniqKey="Fang J" first="J" last="Fang">J. Fang</name>
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<name sortKey="Fernandez Mendez, F" sort="Fernandez Mendez, F" uniqKey="Fernandez Mendez F" first="F" last="Fernández-Méndez">F. Fernández-Méndez</name>
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<institution>Departamento de Ciencias Forestales, Universidad del Tolima</institution>
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<name sortKey="Fidelis, A" sort="Fidelis, A" uniqKey="Fidelis A" first="A" last="Fidelis">A. Fidelis</name>
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<institution>Department of Ecology, Universidade de São Paulo</institution>
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<name sortKey="Finegan, B" sort="Finegan, B" uniqKey="Finegan B" first="B" last="Finegan">B. Finegan</name>
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<name sortKey="Flores, O" sort="Flores, O" uniqKey="Flores O" first="O" last="Flores">O. Flores</name>
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<institution>PVBMT, Université de la Réunion</institution>
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<name sortKey="Ford, H" sort="Ford, H" uniqKey="Ford H" first="H" last="Ford">H. Ford</name>
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<institution>Department of Biology, University of York</institution>
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<name sortKey="Frank, D" sort="Frank, D" uniqKey="Frank D" first="D" last="Frank">D. Frank</name>
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<nlm:aff id="au1">
<institution>Max-Planck-Institute for Biogeochemistry</institution>
<addr-line>07745 Jena, Germany</addr-line>
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<name sortKey="Freschet, G T" sort="Freschet, G T" uniqKey="Freschet G" first="G T" last="Freschet">G T Freschet</name>
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<nlm:aff id="au8">
<institution>Hawkesbury Institute for the Environment, University of Western Sydney</institution>
<addr-line>Richmond NSW 2753 Australia</addr-line>
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</author>
<author>
<name sortKey="Fyllas, N M" sort="Fyllas, N M" uniqKey="Fyllas N" first="N M" last="Fyllas">N M Fyllas</name>
<affiliation>
<nlm:aff id="au15">
<institution>School of Geography, University of Leeds</institution>
<addr-line>LS2 9JT West Yorkshire, UK</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Gallagher, R V" sort="Gallagher, R V" uniqKey="Gallagher R" first="R V" last="Gallagher">R V Gallagher</name>
<affiliation>
<nlm:aff id="au4">
<institution>Department of Biological Sciences, Macquarie University</institution>
<addr-line>Sydney, NSW 2109, Australia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Green, W A" sort="Green, W A" uniqKey="Green W" first="W A" last="Green">W A Green</name>
<affiliation>
<nlm:aff id="au40">
<institution>Department of Organismic and Evolutionary Biology, Harvard University</institution>
<addr-line>MA 02138, USA</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Gutierrez, A G" sort="Gutierrez, A G" uniqKey="Gutierrez A" first="A G" last="Gutierrez">A G Gutierrez</name>
<affiliation>
<nlm:aff id="au41">
<institution>Department of Ecological Modelling, Helmholtz Centre for Environmental Research</institution>
<addr-line>04318 Leipzig, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Hickler, T" sort="Hickler, T" uniqKey="Hickler T" first="T" last="Hickler">T. Hickler</name>
<affiliation>
<nlm:aff id="au42">
<institution>LOEWE Biodiversity and Climate Research Centre</institution>
<addr-line>60325 Frankfurt, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Higgins, S I" sort="Higgins, S I" uniqKey="Higgins S" first="S I" last="Higgins">S I Higgins</name>
<affiliation>
<nlm:aff id="au43">
<institution>Institut für Physische Geographie, Goethe-University Frankfurt</institution>
<addr-line>60438 Frankfurt, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Hodgson, J G" sort="Hodgson, J G" uniqKey="Hodgson J" first="J G" last="Hodgson">J G Hodgson</name>
<affiliation>
<nlm:aff id="au44">
<institution>Department of Botany, University of Sheffield</institution>
<addr-line>Sheffield, UK</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Jalili, A" sort="Jalili, A" uniqKey="Jalili A" first="A" last="Jalili">A. Jalili</name>
<affiliation>
<nlm:aff id="au45">
<institution>Department of Botany, Research Institute of Forests and Rangelands</institution>
<addr-line>Tehran, Iran</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Jansen, S" sort="Jansen, S" uniqKey="Jansen S" first="S" last="Jansen">S. Jansen</name>
<affiliation>
<nlm:aff id="au46">
<institution>Institute for Systematic Botany and Ecology, Ulm University</institution>
<addr-line>89081 Ulm, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Joly, C A" sort="Joly, C A" uniqKey="Joly C" first="C A" last="Joly">C A Joly</name>
<affiliation>
<nlm:aff id="au47">
<institution>Department of Plant Biology, State University of Campinas</institution>
<addr-line>CP 6109 Campinas, Brazil</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Kerkhoff, A J" sort="Kerkhoff, A J" uniqKey="Kerkhoff A" first="A J" last="Kerkhoff">A J Kerkhoff</name>
<affiliation>
<nlm:aff id="au48">
<institution>Departments for Biology and Mathematics, Kenyon College</institution>
<addr-line>Gambier, OH 43022, USA</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Kirkup, D" sort="Kirkup, D" uniqKey="Kirkup D" first="D" last="Kirkup">D. Kirkup</name>
<affiliation>
<nlm:aff id="au49">
<institution>Herbarium, Library Art and Archives</institution>
<addr-line>The Royal Botanic Gardens, Kew, TW9 3AE London, UK</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Kitajima, K" sort="Kitajima, K" uniqKey="Kitajima K" first="K" last="Kitajima">K. Kitajima</name>
<affiliation>
<nlm:aff id="au50">
<institution>Department of Biology, University of Florida</institution>
<addr-line>Gainesville, FL, USA</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Kleyer, M" sort="Kleyer, M" uniqKey="Kleyer M" first="M" last="Kleyer">M. Kleyer</name>
<affiliation>
<nlm:aff id="au51">
<institution>Institute of Biology and Environmental Sciences, University of Oldenburg</institution>
<addr-line>26129 Oldenburg, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Klotz, S" sort="Klotz, S" uniqKey="Klotz S" first="S" last="Klotz">S. Klotz</name>
<affiliation>
<nlm:aff id="au30">
<institution>Department of Community Ecology, Helmholtz Centre for Environmental Research</institution>
<addr-line>06120 Halle, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Knops, J M H" sort="Knops, J M H" uniqKey="Knops J" first="J M H" last="Knops">J M H. Knops</name>
<affiliation>
<nlm:aff id="au52">
<institution>School of Biological Sciences, University of Nebraska</institution>
<addr-line>Lincoln, NE 68588-0118, USA</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Kramer, K" sort="Kramer, K" uniqKey="Kramer K" first="K" last="Kramer">K. Kramer</name>
<affiliation>
<nlm:aff id="au53">
<institution>Vegetation and Landscape Ecology</institution>
<addr-line>Alterra, 6700 Wageningen, The Netherlands</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Kuhn, I" sort="Kuhn, I" uniqKey="Kuhn I" first="I" last="Kühn">I. Kühn</name>
<affiliation>
<nlm:aff id="au29">
<institution>Departamento de Ecologia, Federal University of Rio Grande do Sul</institution>
<addr-line>91540-000 Porto Alegre, Brazil</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Kurokawa, H" sort="Kurokawa, H" uniqKey="Kurokawa H" first="H" last="Kurokawa">H. Kurokawa</name>
<affiliation>
<nlm:aff id="au54">
<institution>Graduate School of Life Sciences, Tohoku University</institution>
<addr-line>980-8578 Sendai, Japan</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Laughlin, D" sort="Laughlin, D" uniqKey="Laughlin D" first="D" last="Laughlin">D. Laughlin</name>
<affiliation>
<nlm:aff id="au55">
<institution>School of Forestry, Northern Arizona University</institution>
<addr-line>Flagstaff, AZ 86011, USA</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Lee, T D" sort="Lee, T D" uniqKey="Lee T" first="T D" last="Lee">T D Lee</name>
<affiliation>
<nlm:aff id="au56">
<institution>Department of Biology, University of Wisconsin-Eau Claire</institution>
<addr-line>Eau Claire, WI 54701, USA</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Leishman, M" sort="Leishman, M" uniqKey="Leishman M" first="M" last="Leishman">M. Leishman</name>
<affiliation>
<nlm:aff id="au4">
<institution>Department of Biological Sciences, Macquarie University</institution>
<addr-line>Sydney, NSW 2109, Australia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Lens, F" sort="Lens, F" uniqKey="Lens F" first="F" last="Lens">F. Lens</name>
<affiliation>
<nlm:aff id="au57">
<institution>The Netherlands Centre for Biodiversity Naturalis</institution>
<addr-line>2300 RA Leiden, The Netherlands</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Lenz, T" sort="Lenz, T" uniqKey="Lenz T" first="T" last="Lenz">T. Lenz</name>
<affiliation>
<nlm:aff id="au4">
<institution>Department of Biological Sciences, Macquarie University</institution>
<addr-line>Sydney, NSW 2109, Australia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Lewis, S L" sort="Lewis, S L" uniqKey="Lewis S" first="S L" last="Lewis">S L Lewis</name>
<affiliation>
<nlm:aff id="au15">
<institution>School of Geography, University of Leeds</institution>
<addr-line>LS2 9JT West Yorkshire, UK</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Lloyd, J" sort="Lloyd, J" uniqKey="Lloyd J" first="J" last="Lloyd">J. Lloyd</name>
<affiliation>
<nlm:aff id="au15">
<institution>School of Geography, University of Leeds</institution>
<addr-line>LS2 9JT West Yorkshire, UK</addr-line>
</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="au58">
<institution>James Cook University</institution>
<addr-line>Qld 4870 Cairns, Australia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Llusia, J" sort="Llusia, J" uniqKey="Llusia J" first="J" last="Llusià">J. Llusià</name>
<affiliation>
<nlm:aff id="au33">
<institution>Global Ecology Unit CREAF-CEAB-CSIC, Universitat Autònoma de Barcelona</institution>
<addr-line>08193 Barcelona, Spain</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Louault, F" sort="Louault, F" uniqKey="Louault F" first="F" last="Louault">F. Louault</name>
<affiliation>
<nlm:aff id="au59">
<institution>Grassland Ecosystem Research, INRA</institution>
<addr-line>63100 Clermont-Ferrand, France</addr-line>
</nlm:aff>
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<author>
<name sortKey="Ma, S" sort="Ma, S" uniqKey="Ma S" first="S" last="Ma">S. Ma</name>
<affiliation>
<nlm:aff id="au60">
<institution>Department of Environmental Science, University of California</institution>
<addr-line>Berkeley, CA 94720-3140, USA</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Mahecha, M D" sort="Mahecha, M D" uniqKey="Mahecha M" first="M D" last="Mahecha">M D Mahecha</name>
<affiliation>
<nlm:aff id="au1">
<institution>Max-Planck-Institute for Biogeochemistry</institution>
<addr-line>07745 Jena, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Manning, P" sort="Manning, P" uniqKey="Manning P" first="P" last="Manning">P. Manning</name>
<affiliation>
<nlm:aff id="au61">
<institution>School of Agriculture, Newcastle University</institution>
<addr-line>NE1 7RU Newcastle, UK</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Massad, T" sort="Massad, T" uniqKey="Massad T" first="T" last="Massad">T. Massad</name>
<affiliation>
<nlm:aff id="au1">
<institution>Max-Planck-Institute for Biogeochemistry</institution>
<addr-line>07745 Jena, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Medlyn, B E" sort="Medlyn, B E" uniqKey="Medlyn B" first="B E" last="Medlyn">B E Medlyn</name>
<affiliation>
<nlm:aff id="au4">
<institution>Department of Biological Sciences, Macquarie University</institution>
<addr-line>Sydney, NSW 2109, Australia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Messier, J" sort="Messier, J" uniqKey="Messier J" first="J" last="Messier">J. Messier</name>
<affiliation>
<nlm:aff id="au10">
<institution>Department of Ecology and Evolutionary Biology, University of Arizona</institution>
<addr-line>Tucson, AZ 85721, USA</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Moles, A T" sort="Moles, A T" uniqKey="Moles A" first="A T" last="Moles">A T Moles</name>
<affiliation>
<nlm:aff id="au62">
<institution>School of Biological Earth and Environmental Sciences, University New South Wales</institution>
<addr-line>2031 Sydney, NSW, Australia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Muller, S C" sort="Muller, S C" uniqKey="Muller S" first="S C" last="Müller">S C Müller</name>
<affiliation>
<nlm:aff id="au18">
<institution>Departamento de Ecologia, Universidade Federal do Rio Grande do Sul</institution>
<addr-line>91501-970 Porto Alegre, Brasil</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Nadrowski, K" sort="Nadrowski, K" uniqKey="Nadrowski K" first="K" last="Nadrowski">K. Nadrowski</name>
<affiliation>
<nlm:aff id="au63">
<institution>Institute for Special Botany and Functional Biodiversity, University of Leipzig</institution>
<addr-line>04103 Leipzig, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Naeem, S" sort="Naeem, S" uniqKey="Naeem S" first="S" last="Naeem">S. Naeem</name>
<affiliation>
<nlm:aff id="au64">
<institution>Department of Ecology, Evolution and Environmental Biology, Columbia University</institution>
<addr-line>NY, USA</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Niinemets, U" sort="Niinemets, U" uniqKey="Niinemets U" first="Ü" last="Niinemets">Ü Niinemets</name>
<affiliation>
<nlm:aff id="au65">
<institution>Department of Plant Physiology, Estonian University of Life Sciences</institution>
<addr-line>51014 Tartu, Estonia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Nollert, S" sort="Nollert, S" uniqKey="Nollert S" first="S" last="Nöllert">S. Nöllert</name>
<affiliation>
<nlm:aff id="au1">
<institution>Max-Planck-Institute for Biogeochemistry</institution>
<addr-line>07745 Jena, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Nuske, A" sort="Nuske, A" uniqKey="Nuske A" first="A" last="Nüske">A. Nüske</name>
<affiliation>
<nlm:aff id="au1">
<institution>Max-Planck-Institute for Biogeochemistry</institution>
<addr-line>07745 Jena, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Ogaya, R" sort="Ogaya, R" uniqKey="Ogaya R" first="R" last="Ogaya">R. Ogaya</name>
<affiliation>
<nlm:aff id="au33">
<institution>Global Ecology Unit CREAF-CEAB-CSIC, Universitat Autònoma de Barcelona</institution>
<addr-line>08193 Barcelona, Spain</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Oleksyn, J" sort="Oleksyn, J" uniqKey="Oleksyn J" first="J" last="Oleksyn">J. Oleksyn</name>
<affiliation>
<nlm:aff id="au66">
<institution>Institute of Dendrology, Polish Academy of Sciences</institution>
<addr-line>62-035 Kornik, Poland</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Onipchenko, V G" sort="Onipchenko, V G" uniqKey="Onipchenko V" first="V G" last="Onipchenko">V G Onipchenko</name>
<affiliation>
<nlm:aff id="au67">
<institution>Department of Geobotany, Moscow State University</institution>
<addr-line>119991 Moscow, Russia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Onoda, Y" sort="Onoda, Y" uniqKey="Onoda Y" first="Y" last="Onoda">Y. Onoda</name>
<affiliation>
<nlm:aff id="au68">
<institution>Department Biology, Faculty of Science, Kyushu University</institution>
<addr-line>812-8581 Fukuoka, Japan</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
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<affiliation>
<nlm:aff id="au69">
<institution>Law and Governance Group, Wageningen University</institution>
<addr-line>6706 KN Wageningen, The Netherlands</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Overbeck, G" sort="Overbeck, G" uniqKey="Overbeck G" first="G" last="Overbeck">G. Overbeck</name>
<affiliation>
<nlm:aff id="au70">
<institution>Departamento de Botânica, Universidade Federal do Rio Grande do Sul</institution>
<addr-line>91501-970 Porto Alegre, Brazil</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Ozinga, W A" sort="Ozinga, W A" uniqKey="Ozinga W" first="W A" last="Ozinga">W A Ozinga</name>
<affiliation>
<nlm:aff id="au71">
<institution>Centre for Ecosystem Studies</institution>
<addr-line>Alterra, 6700 Wageningen, The Netherlands</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
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<affiliation>
<nlm:aff id="au15">
<institution>School of Geography, University of Leeds</institution>
<addr-line>LS2 9JT West Yorkshire, UK</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Paula, S" sort="Paula, S" uniqKey="Paula S" first="S" last="Paula">S. Paula</name>
<affiliation>
<nlm:aff id="au72">
<institution>Centro de Investigaciones sobre Desertificación, Spanish National Research Council</institution>
<addr-line>46113 Valencia, Spain</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Pausas, J G" sort="Pausas, J G" uniqKey="Pausas J" first="J G" last="Pausas">J G Pausas</name>
<affiliation>
<nlm:aff id="au72">
<institution>Centro de Investigaciones sobre Desertificación, Spanish National Research Council</institution>
<addr-line>46113 Valencia, Spain</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
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<affiliation>
<nlm:aff id="au33">
<institution>Global Ecology Unit CREAF-CEAB-CSIC, Universitat Autònoma de Barcelona</institution>
<addr-line>08193 Barcelona, Spain</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Phillips, O L" sort="Phillips, O L" uniqKey="Phillips O" first="O L" last="Phillips">O L Phillips</name>
<affiliation>
<nlm:aff id="au15">
<institution>School of Geography, University of Leeds</institution>
<addr-line>LS2 9JT West Yorkshire, UK</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Pillar, V" sort="Pillar, V" uniqKey="Pillar V" first="V" last="Pillar">V. Pillar</name>
<affiliation>
<nlm:aff id="au18">
<institution>Departamento de Ecologia, Universidade Federal do Rio Grande do Sul</institution>
<addr-line>91501-970 Porto Alegre, Brasil</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Poorter, H" sort="Poorter, H" uniqKey="Poorter H" first="H" last="Poorter">H. Poorter</name>
<affiliation>
<nlm:aff id="au73">
<institution>Plant Sciences</institution>
<addr-line>Forschungszentrum Jülich, 52428 Jülich, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Poorter, L" sort="Poorter, L" uniqKey="Poorter L" first="L" last="Poorter">L. Poorter</name>
<affiliation>
<nlm:aff id="au74">
<institution>Center for Ecosystem Studies, Wageningen University</institution>
<addr-line>6700 AA Wageningen, The Netherlands</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Poschlod, P" sort="Poschlod, P" uniqKey="Poschlod P" first="P" last="Poschlod">P. Poschlod</name>
<affiliation>
<nlm:aff id="au75">
<institution>Institute of Botany, University of Regensburg</institution>
<addr-line>93040 Regensburg, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Prinzing, A" sort="Prinzing, A" uniqKey="Prinzing A" first="A" last="Prinzing">A. Prinzing</name>
<affiliation>
<nlm:aff id="au76">
<institution>Laboratoire Ecobio, Université de Rennes</institution>
<addr-line>35042 Rennes, France</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Proulx, R" sort="Proulx, R" uniqKey="Proulx R" first="R" last="Proulx">R. Proulx</name>
<affiliation>
<nlm:aff id="au77">
<institution>Biologie Systémique de la Conservation, Université du Québec</institution>
<addr-line>Trois-Rivières, Canada</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
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<affiliation>
<nlm:aff id="au78">
<institution>Potsdam Institute for Climate Impact Research</institution>
<addr-line>14412 Potsdam, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Reinsch, S" sort="Reinsch, S" uniqKey="Reinsch S" first="S" last="Reinsch">S. Reinsch</name>
<affiliation>
<nlm:aff id="au79">
<institution>Biosystems Division, Risø National Laboratory for Sustainable Energy</institution>
<addr-line>4000 Roskilde, Denmark</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Reu, B" sort="Reu, B" uniqKey="Reu B" first="B" last="Reu">B. Reu</name>
<affiliation>
<nlm:aff id="au1">
<institution>Max-Planck-Institute for Biogeochemistry</institution>
<addr-line>07745 Jena, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
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<affiliation>
<nlm:aff id="au80">
<institution>Department of Ecology and Evolutionary Biology, University of California</institution>
<addr-line>Los Angeles, CA 90095, USA</addr-line>
</nlm:aff>
</affiliation>
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<author>
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<nlm:aff id="au33">
<institution>Global Ecology Unit CREAF-CEAB-CSIC, Universitat Autònoma de Barcelona</institution>
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<nlm:aff id="au81">
<institution>Center for Sustainability Science, Hokkaido University</institution>
<addr-line>060-080 Sapporo, Japan</addr-line>
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<author>
<name sortKey="Shipley, B" sort="Shipley, B" uniqKey="Shipley B" first="B" last="Shipley">B. Shipley</name>
<affiliation>
<nlm:aff id="au82">
<institution>Département de Biologie, Université de Sherbrooke</institution>
<addr-line>Québec Sherbrooke, Canada</addr-line>
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<affiliation>
<nlm:aff id="au83">
<institution>Department of Biology, Syracuse University</institution>
<addr-line>New York, NY 13244, USA</addr-line>
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<name sortKey="Sosinski, E" sort="Sosinski, E" uniqKey="Sosinski E" first="E" last="Sosinski">E. Sosinski</name>
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<affiliation>
<nlm:aff id="au85">
<institution>Biological Sciences, University of Aberdeen</institution>
<addr-line>AB25 2ZD Aberdeen, Scotland, UK</addr-line>
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<affiliation>
<nlm:aff id="au86">
<institution>Department of Plant Biology & Ecology, Michigan State University</institution>
<addr-line>East Lansing, MI 48824, USA</addr-line>
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<author>
<name sortKey="Thompson, K" sort="Thompson, K" uniqKey="Thompson K" first="K" last="Thompson">K. Thompson</name>
<affiliation>
<nlm:aff id="au87">
<institution>Department of Animal and Plant Sciences, University of Sheffield</institution>
<addr-line>S10 2TN Sheffield, UK</addr-line>
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<name sortKey="Thornton, P" sort="Thornton, P" uniqKey="Thornton P" first="P" last="Thornton">P. Thornton</name>
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<nlm:aff id="au89">
<institution>Department of Geography, Leicester University</institution>
<addr-line>LE1 7RH Leicester, UK</addr-line>
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<institution>Department of Biology, University of Wisconsin-Eau Claire</institution>
<addr-line>Eau Claire, WI 54701, USA</addr-line>
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<institution>Department of Watershed Sciences, Utah State University</institution>
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<institution>School of Environmental Sciences, University of Guelph</institution>
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<institution>Smithsonian Tropical Research Institute</institution>
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<nlm:aff id="au92">
<institution>Laboratoire Ecobio Université de Rennes</institution>
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<nlm:aff id="au1">
<institution>Max-Planck-Institute for Biogeochemistry</institution>
<addr-line>07745 Jena, Germany</addr-line>
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<affiliation>
<nlm:aff id="au93">
<institution>Department of Biology, University of Missouri</institution>
<addr-line>St. Louis, MO 63121-4400, USA</addr-line>
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<nlm:aff id="au68">
<institution>Department Biology, Faculty of Science, Kyushu University</institution>
<addr-line>812-8581 Fukuoka, Japan</addr-line>
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<institution>Max-Planck-Institute for Biogeochemistry</institution>
<addr-line>07745 Jena, Germany</addr-line>
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<institution>Instituto Multidisciplinario de Biología Vegetal, Universidad Nacional de Córdoba</institution>
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<nlm:aff id="au4">
<institution>Department of Biological Sciences, Macquarie University</institution>
<addr-line>Sydney, NSW 2109, Australia</addr-line>
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<institution>Max-Planck-Institute for Biogeochemistry</institution>
<addr-line>07745 Jena, Germany</addr-line>
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<institution>Centre d'Ecologie Fonctionnelle et Evolutive, CNRS</institution>
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<nlm:aff id="au4">
<institution>Department of Biological Sciences, Macquarie University</institution>
<addr-line>Sydney, NSW 2109, Australia</addr-line>
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<nlm:aff id="au7">
<institution>Department of Forest Resources and Institute of the Environment, University of Minnesota, St. Paul</institution>
<addr-line>MN 55108, USA</addr-line>
</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="au8">
<institution>Hawkesbury Institute for the Environment, University of Western Sydney</institution>
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<affiliation>
<nlm:aff id="au4">
<institution>Department of Biological Sciences, Macquarie University</institution>
<addr-line>Sydney, NSW 2109, Australia</addr-line>
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<nlm:aff id="au9">
<institution>Faculty of Earth and Life Sciences, Vrije Universiteit Amsterdam</institution>
<addr-line>1081 HV Amsterdam, The Netherlands</addr-line>
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<nlm:aff id="au6">
<institution>Centre d'Ecologie Fonctionnelle et Evolutive, CNRS</institution>
<addr-line>34293 Montpellier, France</addr-line>
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<nlm:aff id="au4">
<institution>Department of Biological Sciences, Macquarie University</institution>
<addr-line>Sydney, NSW 2109, Australia</addr-line>
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<name sortKey="Van Bodegom, P M" sort="Van Bodegom, P M" uniqKey="Van Bodegom P" first="P M" last="Van Bodegom">P M Van Bodegom</name>
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<nlm:aff id="au9">
<institution>Faculty of Earth and Life Sciences, Vrije Universiteit Amsterdam</institution>
<addr-line>1081 HV Amsterdam, The Netherlands</addr-line>
</nlm:aff>
</affiliation>
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<nlm:aff id="au1">
<institution>Max-Planck-Institute for Biogeochemistry</institution>
<addr-line>07745 Jena, Germany</addr-line>
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<affiliation>
<nlm:aff id="au10">
<institution>Department of Ecology and Evolutionary Biology, University of Arizona</institution>
<addr-line>Tucson, AZ 85721, USA</addr-line>
</nlm:aff>
</affiliation>
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<author>
<name sortKey="Soudzilovskaia, N A" sort="Soudzilovskaia, N A" uniqKey="Soudzilovskaia N" first="N A" last="Soudzilovskaia">N A Soudzilovskaia</name>
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<nlm:aff id="au9">
<institution>Faculty of Earth and Life Sciences, Vrije Universiteit Amsterdam</institution>
<addr-line>1081 HV Amsterdam, The Netherlands</addr-line>
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</affiliation>
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<name sortKey="Ackerly, D D" sort="Ackerly, D D" uniqKey="Ackerly D" first="D D" last="Ackerly">D D Ackerly</name>
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<nlm:aff id="au11">
<institution>Department of Integrative Biology, University of California</institution>
<addr-line>Berkeley, CA 94720-3140, USA</addr-line>
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<name sortKey="Anand, M" sort="Anand, M" uniqKey="Anand M" first="M" last="Anand">M. Anand</name>
<affiliation>
<nlm:aff id="au12">
<institution>School of Environmental Sciences, University of Guelph</institution>
<addr-line>Ontario, N1G 2W1 Guelph, Canada</addr-line>
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<affiliation>
<nlm:aff id="au13">
<institution>Research School of Biology, Australian National University</institution>
<addr-line>Canberra, ACT 0200, Australia</addr-line>
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</affiliation>
</author>
<author>
<name sortKey="Bahn, M" sort="Bahn, M" uniqKey="Bahn M" first="M" last="Bahn">M. Bahn</name>
<affiliation>
<nlm:aff id="au14">
<institution>Institute of Ecology, University of Innsbruck</institution>
<addr-line>6020 Innsbruck, Austria</addr-line>
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<author>
<name sortKey="Baker, T R" sort="Baker, T R" uniqKey="Baker T" first="T R" last="Baker">T R Baker</name>
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<nlm:aff id="au15">
<institution>School of Geography, University of Leeds</institution>
<addr-line>LS2 9JT West Yorkshire, UK</addr-line>
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<nlm:aff id="au16">
<institution>Department of Environmental Science & Atmospheric Science Center, University of California</institution>
<addr-line>Berkeley, CA 94720, USA</addr-line>
</nlm:aff>
</affiliation>
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<name sortKey="Bekker, R" sort="Bekker, R" uniqKey="Bekker R" first="R" last="Bekker">R. Bekker</name>
<affiliation>
<nlm:aff id="au17">
<institution>Centre for Life Sciences, University of Groningen</institution>
<addr-line>9700 CC Groningen, The Netherlands</addr-line>
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<affiliation>
<nlm:aff id="au18">
<institution>Departamento de Ecologia, Universidade Federal do Rio Grande do Sul</institution>
<addr-line>91501-970 Porto Alegre, Brasil</addr-line>
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<affiliation>
<nlm:aff id="au10">
<institution>Department of Ecology and Evolutionary Biology, University of Arizona</institution>
<addr-line>Tucson, AZ 85721, USA</addr-line>
</nlm:aff>
</affiliation>
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<name sortKey="Bond, W J" sort="Bond, W J" uniqKey="Bond W" first="W J" last="Bond">W J Bond</name>
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<nlm:aff id="au19">
<institution>Department of Botany, University of Cape Town</institution>
<addr-line>7701 Rondebosch, South Africa</addr-line>
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</author>
<author>
<name sortKey="Bradstock, R" sort="Bradstock, R" uniqKey="Bradstock R" first="R" last="Bradstock">R. Bradstock</name>
<affiliation>
<nlm:aff id="au20">
<institution>School of Biological Science, University of Wollongong</institution>
<addr-line>2522 Wollongong, NSW, Australia</addr-line>
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<nlm:aff id="au21">
<institution>Department of Biological Sciences, New Jersey Institute of Technology</institution>
<addr-line>Newark, NJ 07102, USA</addr-line>
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</affiliation>
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<nlm:aff id="au22">
<institution>Tropical Agricultural Centre for Research and Higher Education (CATIE)</institution>
<addr-line>93-7170 Turrialba, Costa Rica</addr-line>
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<nlm:aff id="au23">
<institution>Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul</institution>
<addr-line>MN 55108, USA</addr-line>
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<author>
<name sortKey="Chambers, J Q" sort="Chambers, J Q" uniqKey="Chambers J" first="J Q" last="Chambers">J Q Chambers</name>
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<nlm:aff id="au24">
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<addr-line>Berkeley, CA 94720, USA</addr-line>
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<nlm:aff id="au25">
<institution>Institute of Arctic Biology, University of Alaska Fairbanks</institution>
<addr-line>Fairbanks, AK 99775, USA</addr-line>
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<nlm:aff id="au26">
<institution>Laboratoire Evolution et Diversité Biologique, CNRS</institution>
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<nlm:aff id="au27">
<institution>Department of Plant Sciences, University of Cambridge</institution>
<addr-line>CB3 2EA Cambridge, UK</addr-line>
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<author>
<name sortKey="Cornwell, W K" sort="Cornwell, W K" uniqKey="Cornwell W" first="W K" last="Cornwell">W K Cornwell</name>
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<nlm:aff id="au9">
<institution>Faculty of Earth and Life Sciences, Vrije Universiteit Amsterdam</institution>
<addr-line>1081 HV Amsterdam, The Netherlands</addr-line>
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<institution>Division of Biology, Kansas State University</institution>
<addr-line>KS 66506 Manhattan, USA</addr-line>
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<affiliation>
<nlm:aff id="au10">
<institution>Department of Ecology and Evolutionary Biology, University of Arizona</institution>
<addr-line>Tucson, AZ 85721, USA</addr-line>
</nlm:aff>
</affiliation>
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<author>
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<nlm:aff id="au29">
<institution>Departamento de Ecologia, Federal University of Rio Grande do Sul</institution>
<addr-line>91540-000 Porto Alegre, Brazil</addr-line>
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<nlm:aff id="au30">
<institution>Department of Community Ecology, Helmholtz Centre for Environmental Research</institution>
<addr-line>06120 Halle, Germany</addr-line>
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<author>
<name sortKey="Elser, J" sort="Elser, J" uniqKey="Elser J" first="J" last="Elser">J. Elser</name>
<affiliation>
<nlm:aff id="au31">
<institution>School of Life Sciences, Arizona State University</institution>
<addr-line>Tempe, AZ 85287-4501, USA</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Esser, G" sort="Esser, G" uniqKey="Esser G" first="G" last="Esser">G. Esser</name>
<affiliation>
<nlm:aff id="au32">
<institution>Institute for Plant Ecology, Justus-Liebig-University</institution>
<addr-line>35392 Giessen, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Estiarte, M" sort="Estiarte, M" uniqKey="Estiarte M" first="M" last="Estiarte">M. Estiarte</name>
<affiliation>
<nlm:aff id="au33">
<institution>Global Ecology Unit CREAF-CEAB-CSIC, Universitat Autònoma de Barcelona</institution>
<addr-line>08193 Barcelona, Spain</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Fagan, W F" sort="Fagan, W F" uniqKey="Fagan W" first="W F" last="Fagan">W F Fagan</name>
<affiliation>
<nlm:aff id="au34">
<institution>Department of Biology, University of Maryland, College Park</institution>
<addr-line>MD 20742, USA</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Fang, J" sort="Fang, J" uniqKey="Fang J" first="J" last="Fang">J. Fang</name>
<affiliation>
<nlm:aff id="au29">
<institution>Departamento de Ecologia, Federal University of Rio Grande do Sul</institution>
<addr-line>91540-000 Porto Alegre, Brazil</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Fernandez Mendez, F" sort="Fernandez Mendez, F" uniqKey="Fernandez Mendez F" first="F" last="Fernández-Méndez">F. Fernández-Méndez</name>
<affiliation>
<nlm:aff id="au36">
<institution>Departamento de Ciencias Forestales, Universidad del Tolima</institution>
<addr-line>Tolima, Colombia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Fidelis, A" sort="Fidelis, A" uniqKey="Fidelis A" first="A" last="Fidelis">A. Fidelis</name>
<affiliation>
<nlm:aff id="au37">
<institution>Department of Ecology, Universidade de São Paulo</institution>
<addr-line>05508900 São Paulo, Brazil</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Finegan, B" sort="Finegan, B" uniqKey="Finegan B" first="B" last="Finegan">B. Finegan</name>
<affiliation>
<nlm:aff id="au22">
<institution>Tropical Agricultural Centre for Research and Higher Education (CATIE)</institution>
<addr-line>93-7170 Turrialba, Costa Rica</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Flores, O" sort="Flores, O" uniqKey="Flores O" first="O" last="Flores">O. Flores</name>
<affiliation>
<nlm:aff id="au38">
<institution>PVBMT, Université de la Réunion</institution>
<addr-line>97410 Saint Pierre, France</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Ford, H" sort="Ford, H" uniqKey="Ford H" first="H" last="Ford">H. Ford</name>
<affiliation>
<nlm:aff id="au39">
<institution>Department of Biology, University of York</institution>
<addr-line>Bath, UK</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Frank, D" sort="Frank, D" uniqKey="Frank D" first="D" last="Frank">D. Frank</name>
<affiliation>
<nlm:aff id="au1">
<institution>Max-Planck-Institute for Biogeochemistry</institution>
<addr-line>07745 Jena, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Freschet, G T" sort="Freschet, G T" uniqKey="Freschet G" first="G T" last="Freschet">G T Freschet</name>
<affiliation>
<nlm:aff id="au8">
<institution>Hawkesbury Institute for the Environment, University of Western Sydney</institution>
<addr-line>Richmond NSW 2753 Australia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Fyllas, N M" sort="Fyllas, N M" uniqKey="Fyllas N" first="N M" last="Fyllas">N M Fyllas</name>
<affiliation>
<nlm:aff id="au15">
<institution>School of Geography, University of Leeds</institution>
<addr-line>LS2 9JT West Yorkshire, UK</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Gallagher, R V" sort="Gallagher, R V" uniqKey="Gallagher R" first="R V" last="Gallagher">R V Gallagher</name>
<affiliation>
<nlm:aff id="au4">
<institution>Department of Biological Sciences, Macquarie University</institution>
<addr-line>Sydney, NSW 2109, Australia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Green, W A" sort="Green, W A" uniqKey="Green W" first="W A" last="Green">W A Green</name>
<affiliation>
<nlm:aff id="au40">
<institution>Department of Organismic and Evolutionary Biology, Harvard University</institution>
<addr-line>MA 02138, USA</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Gutierrez, A G" sort="Gutierrez, A G" uniqKey="Gutierrez A" first="A G" last="Gutierrez">A G Gutierrez</name>
<affiliation>
<nlm:aff id="au41">
<institution>Department of Ecological Modelling, Helmholtz Centre for Environmental Research</institution>
<addr-line>04318 Leipzig, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Hickler, T" sort="Hickler, T" uniqKey="Hickler T" first="T" last="Hickler">T. Hickler</name>
<affiliation>
<nlm:aff id="au42">
<institution>LOEWE Biodiversity and Climate Research Centre</institution>
<addr-line>60325 Frankfurt, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Higgins, S I" sort="Higgins, S I" uniqKey="Higgins S" first="S I" last="Higgins">S I Higgins</name>
<affiliation>
<nlm:aff id="au43">
<institution>Institut für Physische Geographie, Goethe-University Frankfurt</institution>
<addr-line>60438 Frankfurt, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Hodgson, J G" sort="Hodgson, J G" uniqKey="Hodgson J" first="J G" last="Hodgson">J G Hodgson</name>
<affiliation>
<nlm:aff id="au44">
<institution>Department of Botany, University of Sheffield</institution>
<addr-line>Sheffield, UK</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Jalili, A" sort="Jalili, A" uniqKey="Jalili A" first="A" last="Jalili">A. Jalili</name>
<affiliation>
<nlm:aff id="au45">
<institution>Department of Botany, Research Institute of Forests and Rangelands</institution>
<addr-line>Tehran, Iran</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Jansen, S" sort="Jansen, S" uniqKey="Jansen S" first="S" last="Jansen">S. Jansen</name>
<affiliation>
<nlm:aff id="au46">
<institution>Institute for Systematic Botany and Ecology, Ulm University</institution>
<addr-line>89081 Ulm, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Joly, C A" sort="Joly, C A" uniqKey="Joly C" first="C A" last="Joly">C A Joly</name>
<affiliation>
<nlm:aff id="au47">
<institution>Department of Plant Biology, State University of Campinas</institution>
<addr-line>CP 6109 Campinas, Brazil</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Kerkhoff, A J" sort="Kerkhoff, A J" uniqKey="Kerkhoff A" first="A J" last="Kerkhoff">A J Kerkhoff</name>
<affiliation>
<nlm:aff id="au48">
<institution>Departments for Biology and Mathematics, Kenyon College</institution>
<addr-line>Gambier, OH 43022, USA</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Kirkup, D" sort="Kirkup, D" uniqKey="Kirkup D" first="D" last="Kirkup">D. Kirkup</name>
<affiliation>
<nlm:aff id="au49">
<institution>Herbarium, Library Art and Archives</institution>
<addr-line>The Royal Botanic Gardens, Kew, TW9 3AE London, UK</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Kitajima, K" sort="Kitajima, K" uniqKey="Kitajima K" first="K" last="Kitajima">K. Kitajima</name>
<affiliation>
<nlm:aff id="au50">
<institution>Department of Biology, University of Florida</institution>
<addr-line>Gainesville, FL, USA</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Kleyer, M" sort="Kleyer, M" uniqKey="Kleyer M" first="M" last="Kleyer">M. Kleyer</name>
<affiliation>
<nlm:aff id="au51">
<institution>Institute of Biology and Environmental Sciences, University of Oldenburg</institution>
<addr-line>26129 Oldenburg, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Klotz, S" sort="Klotz, S" uniqKey="Klotz S" first="S" last="Klotz">S. Klotz</name>
<affiliation>
<nlm:aff id="au30">
<institution>Department of Community Ecology, Helmholtz Centre for Environmental Research</institution>
<addr-line>06120 Halle, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Knops, J M H" sort="Knops, J M H" uniqKey="Knops J" first="J M H" last="Knops">J M H. Knops</name>
<affiliation>
<nlm:aff id="au52">
<institution>School of Biological Sciences, University of Nebraska</institution>
<addr-line>Lincoln, NE 68588-0118, USA</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Kramer, K" sort="Kramer, K" uniqKey="Kramer K" first="K" last="Kramer">K. Kramer</name>
<affiliation>
<nlm:aff id="au53">
<institution>Vegetation and Landscape Ecology</institution>
<addr-line>Alterra, 6700 Wageningen, The Netherlands</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Kuhn, I" sort="Kuhn, I" uniqKey="Kuhn I" first="I" last="Kühn">I. Kühn</name>
<affiliation>
<nlm:aff id="au29">
<institution>Departamento de Ecologia, Federal University of Rio Grande do Sul</institution>
<addr-line>91540-000 Porto Alegre, Brazil</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Kurokawa, H" sort="Kurokawa, H" uniqKey="Kurokawa H" first="H" last="Kurokawa">H. Kurokawa</name>
<affiliation>
<nlm:aff id="au54">
<institution>Graduate School of Life Sciences, Tohoku University</institution>
<addr-line>980-8578 Sendai, Japan</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Laughlin, D" sort="Laughlin, D" uniqKey="Laughlin D" first="D" last="Laughlin">D. Laughlin</name>
<affiliation>
<nlm:aff id="au55">
<institution>School of Forestry, Northern Arizona University</institution>
<addr-line>Flagstaff, AZ 86011, USA</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Lee, T D" sort="Lee, T D" uniqKey="Lee T" first="T D" last="Lee">T D Lee</name>
<affiliation>
<nlm:aff id="au56">
<institution>Department of Biology, University of Wisconsin-Eau Claire</institution>
<addr-line>Eau Claire, WI 54701, USA</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Leishman, M" sort="Leishman, M" uniqKey="Leishman M" first="M" last="Leishman">M. Leishman</name>
<affiliation>
<nlm:aff id="au4">
<institution>Department of Biological Sciences, Macquarie University</institution>
<addr-line>Sydney, NSW 2109, Australia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Lens, F" sort="Lens, F" uniqKey="Lens F" first="F" last="Lens">F. Lens</name>
<affiliation>
<nlm:aff id="au57">
<institution>The Netherlands Centre for Biodiversity Naturalis</institution>
<addr-line>2300 RA Leiden, The Netherlands</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Lenz, T" sort="Lenz, T" uniqKey="Lenz T" first="T" last="Lenz">T. Lenz</name>
<affiliation>
<nlm:aff id="au4">
<institution>Department of Biological Sciences, Macquarie University</institution>
<addr-line>Sydney, NSW 2109, Australia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Lewis, S L" sort="Lewis, S L" uniqKey="Lewis S" first="S L" last="Lewis">S L Lewis</name>
<affiliation>
<nlm:aff id="au15">
<institution>School of Geography, University of Leeds</institution>
<addr-line>LS2 9JT West Yorkshire, UK</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Lloyd, J" sort="Lloyd, J" uniqKey="Lloyd J" first="J" last="Lloyd">J. Lloyd</name>
<affiliation>
<nlm:aff id="au15">
<institution>School of Geography, University of Leeds</institution>
<addr-line>LS2 9JT West Yorkshire, UK</addr-line>
</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="au58">
<institution>James Cook University</institution>
<addr-line>Qld 4870 Cairns, Australia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Llusia, J" sort="Llusia, J" uniqKey="Llusia J" first="J" last="Llusià">J. Llusià</name>
<affiliation>
<nlm:aff id="au33">
<institution>Global Ecology Unit CREAF-CEAB-CSIC, Universitat Autònoma de Barcelona</institution>
<addr-line>08193 Barcelona, Spain</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Louault, F" sort="Louault, F" uniqKey="Louault F" first="F" last="Louault">F. Louault</name>
<affiliation>
<nlm:aff id="au59">
<institution>Grassland Ecosystem Research, INRA</institution>
<addr-line>63100 Clermont-Ferrand, France</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Ma, S" sort="Ma, S" uniqKey="Ma S" first="S" last="Ma">S. Ma</name>
<affiliation>
<nlm:aff id="au60">
<institution>Department of Environmental Science, University of California</institution>
<addr-line>Berkeley, CA 94720-3140, USA</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Mahecha, M D" sort="Mahecha, M D" uniqKey="Mahecha M" first="M D" last="Mahecha">M D Mahecha</name>
<affiliation>
<nlm:aff id="au1">
<institution>Max-Planck-Institute for Biogeochemistry</institution>
<addr-line>07745 Jena, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Manning, P" sort="Manning, P" uniqKey="Manning P" first="P" last="Manning">P. Manning</name>
<affiliation>
<nlm:aff id="au61">
<institution>School of Agriculture, Newcastle University</institution>
<addr-line>NE1 7RU Newcastle, UK</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Massad, T" sort="Massad, T" uniqKey="Massad T" first="T" last="Massad">T. Massad</name>
<affiliation>
<nlm:aff id="au1">
<institution>Max-Planck-Institute for Biogeochemistry</institution>
<addr-line>07745 Jena, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Medlyn, B E" sort="Medlyn, B E" uniqKey="Medlyn B" first="B E" last="Medlyn">B E Medlyn</name>
<affiliation>
<nlm:aff id="au4">
<institution>Department of Biological Sciences, Macquarie University</institution>
<addr-line>Sydney, NSW 2109, Australia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Messier, J" sort="Messier, J" uniqKey="Messier J" first="J" last="Messier">J. Messier</name>
<affiliation>
<nlm:aff id="au10">
<institution>Department of Ecology and Evolutionary Biology, University of Arizona</institution>
<addr-line>Tucson, AZ 85721, USA</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Moles, A T" sort="Moles, A T" uniqKey="Moles A" first="A T" last="Moles">A T Moles</name>
<affiliation>
<nlm:aff id="au62">
<institution>School of Biological Earth and Environmental Sciences, University New South Wales</institution>
<addr-line>2031 Sydney, NSW, Australia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Muller, S C" sort="Muller, S C" uniqKey="Muller S" first="S C" last="Müller">S C Müller</name>
<affiliation>
<nlm:aff id="au18">
<institution>Departamento de Ecologia, Universidade Federal do Rio Grande do Sul</institution>
<addr-line>91501-970 Porto Alegre, Brasil</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Nadrowski, K" sort="Nadrowski, K" uniqKey="Nadrowski K" first="K" last="Nadrowski">K. Nadrowski</name>
<affiliation>
<nlm:aff id="au63">
<institution>Institute for Special Botany and Functional Biodiversity, University of Leipzig</institution>
<addr-line>04103 Leipzig, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Naeem, S" sort="Naeem, S" uniqKey="Naeem S" first="S" last="Naeem">S. Naeem</name>
<affiliation>
<nlm:aff id="au64">
<institution>Department of Ecology, Evolution and Environmental Biology, Columbia University</institution>
<addr-line>NY, USA</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Niinemets, U" sort="Niinemets, U" uniqKey="Niinemets U" first="Ü" last="Niinemets">Ü Niinemets</name>
<affiliation>
<nlm:aff id="au65">
<institution>Department of Plant Physiology, Estonian University of Life Sciences</institution>
<addr-line>51014 Tartu, Estonia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Nollert, S" sort="Nollert, S" uniqKey="Nollert S" first="S" last="Nöllert">S. Nöllert</name>
<affiliation>
<nlm:aff id="au1">
<institution>Max-Planck-Institute for Biogeochemistry</institution>
<addr-line>07745 Jena, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Nuske, A" sort="Nuske, A" uniqKey="Nuske A" first="A" last="Nüske">A. Nüske</name>
<affiliation>
<nlm:aff id="au1">
<institution>Max-Planck-Institute for Biogeochemistry</institution>
<addr-line>07745 Jena, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Ogaya, R" sort="Ogaya, R" uniqKey="Ogaya R" first="R" last="Ogaya">R. Ogaya</name>
<affiliation>
<nlm:aff id="au33">
<institution>Global Ecology Unit CREAF-CEAB-CSIC, Universitat Autònoma de Barcelona</institution>
<addr-line>08193 Barcelona, Spain</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Oleksyn, J" sort="Oleksyn, J" uniqKey="Oleksyn J" first="J" last="Oleksyn">J. Oleksyn</name>
<affiliation>
<nlm:aff id="au66">
<institution>Institute of Dendrology, Polish Academy of Sciences</institution>
<addr-line>62-035 Kornik, Poland</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Onipchenko, V G" sort="Onipchenko, V G" uniqKey="Onipchenko V" first="V G" last="Onipchenko">V G Onipchenko</name>
<affiliation>
<nlm:aff id="au67">
<institution>Department of Geobotany, Moscow State University</institution>
<addr-line>119991 Moscow, Russia</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Onoda, Y" sort="Onoda, Y" uniqKey="Onoda Y" first="Y" last="Onoda">Y. Onoda</name>
<affiliation>
<nlm:aff id="au68">
<institution>Department Biology, Faculty of Science, Kyushu University</institution>
<addr-line>812-8581 Fukuoka, Japan</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Ordo Ez, J" sort="Ordo Ez, J" uniqKey="Ordo Ez J" first="J" last="Ordo Ez">J. Ordo Ez</name>
<affiliation>
<nlm:aff id="au69">
<institution>Law and Governance Group, Wageningen University</institution>
<addr-line>6706 KN Wageningen, The Netherlands</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Overbeck, G" sort="Overbeck, G" uniqKey="Overbeck G" first="G" last="Overbeck">G. Overbeck</name>
<affiliation>
<nlm:aff id="au70">
<institution>Departamento de Botânica, Universidade Federal do Rio Grande do Sul</institution>
<addr-line>91501-970 Porto Alegre, Brazil</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Ozinga, W A" sort="Ozinga, W A" uniqKey="Ozinga W" first="W A" last="Ozinga">W A Ozinga</name>
<affiliation>
<nlm:aff id="au71">
<institution>Centre for Ecosystem Studies</institution>
<addr-line>Alterra, 6700 Wageningen, The Netherlands</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Pati O, S" sort="Pati O, S" uniqKey="Pati O S" first="S" last="Pati O">S. Pati O</name>
<affiliation>
<nlm:aff id="au15">
<institution>School of Geography, University of Leeds</institution>
<addr-line>LS2 9JT West Yorkshire, UK</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Paula, S" sort="Paula, S" uniqKey="Paula S" first="S" last="Paula">S. Paula</name>
<affiliation>
<nlm:aff id="au72">
<institution>Centro de Investigaciones sobre Desertificación, Spanish National Research Council</institution>
<addr-line>46113 Valencia, Spain</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Pausas, J G" sort="Pausas, J G" uniqKey="Pausas J" first="J G" last="Pausas">J G Pausas</name>
<affiliation>
<nlm:aff id="au72">
<institution>Centro de Investigaciones sobre Desertificación, Spanish National Research Council</institution>
<addr-line>46113 Valencia, Spain</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Pe Uelas, J" sort="Pe Uelas, J" uniqKey="Pe Uelas J" first="J" last="Pe Uelas">J. Pe Uelas</name>
<affiliation>
<nlm:aff id="au33">
<institution>Global Ecology Unit CREAF-CEAB-CSIC, Universitat Autònoma de Barcelona</institution>
<addr-line>08193 Barcelona, Spain</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Phillips, O L" sort="Phillips, O L" uniqKey="Phillips O" first="O L" last="Phillips">O L Phillips</name>
<affiliation>
<nlm:aff id="au15">
<institution>School of Geography, University of Leeds</institution>
<addr-line>LS2 9JT West Yorkshire, UK</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Pillar, V" sort="Pillar, V" uniqKey="Pillar V" first="V" last="Pillar">V. Pillar</name>
<affiliation>
<nlm:aff id="au18">
<institution>Departamento de Ecologia, Universidade Federal do Rio Grande do Sul</institution>
<addr-line>91501-970 Porto Alegre, Brasil</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Poorter, H" sort="Poorter, H" uniqKey="Poorter H" first="H" last="Poorter">H. Poorter</name>
<affiliation>
<nlm:aff id="au73">
<institution>Plant Sciences</institution>
<addr-line>Forschungszentrum Jülich, 52428 Jülich, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Poorter, L" sort="Poorter, L" uniqKey="Poorter L" first="L" last="Poorter">L. Poorter</name>
<affiliation>
<nlm:aff id="au74">
<institution>Center for Ecosystem Studies, Wageningen University</institution>
<addr-line>6700 AA Wageningen, The Netherlands</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Poschlod, P" sort="Poschlod, P" uniqKey="Poschlod P" first="P" last="Poschlod">P. Poschlod</name>
<affiliation>
<nlm:aff id="au75">
<institution>Institute of Botany, University of Regensburg</institution>
<addr-line>93040 Regensburg, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Prinzing, A" sort="Prinzing, A" uniqKey="Prinzing A" first="A" last="Prinzing">A. Prinzing</name>
<affiliation>
<nlm:aff id="au76">
<institution>Laboratoire Ecobio, Université de Rennes</institution>
<addr-line>35042 Rennes, France</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Proulx, R" sort="Proulx, R" uniqKey="Proulx R" first="R" last="Proulx">R. Proulx</name>
<affiliation>
<nlm:aff id="au77">
<institution>Biologie Systémique de la Conservation, Université du Québec</institution>
<addr-line>Trois-Rivières, Canada</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Rammig, A" sort="Rammig, A" uniqKey="Rammig A" first="A" last="Rammig">A. Rammig</name>
<affiliation>
<nlm:aff id="au78">
<institution>Potsdam Institute for Climate Impact Research</institution>
<addr-line>14412 Potsdam, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Reinsch, S" sort="Reinsch, S" uniqKey="Reinsch S" first="S" last="Reinsch">S. Reinsch</name>
<affiliation>
<nlm:aff id="au79">
<institution>Biosystems Division, Risø National Laboratory for Sustainable Energy</institution>
<addr-line>4000 Roskilde, Denmark</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Reu, B" sort="Reu, B" uniqKey="Reu B" first="B" last="Reu">B. Reu</name>
<affiliation>
<nlm:aff id="au1">
<institution>Max-Planck-Institute for Biogeochemistry</institution>
<addr-line>07745 Jena, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Sack, L" sort="Sack, L" uniqKey="Sack L" first="L" last="Sack">L. Sack</name>
<affiliation>
<nlm:aff id="au80">
<institution>Department of Ecology and Evolutionary Biology, University of California</institution>
<addr-line>Los Angeles, CA 90095, USA</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Salgado Negret, B" sort="Salgado Negret, B" uniqKey="Salgado Negret B" first="B" last="Salgado-Negret">B. Salgado-Negret</name>
<affiliation>
<nlm:aff id="au22">
<institution>Tropical Agricultural Centre for Research and Higher Education (CATIE)</institution>
<addr-line>93-7170 Turrialba, Costa Rica</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Sardans, J" sort="Sardans, J" uniqKey="Sardans J" first="J" last="Sardans">J. Sardans</name>
<affiliation>
<nlm:aff id="au33">
<institution>Global Ecology Unit CREAF-CEAB-CSIC, Universitat Autònoma de Barcelona</institution>
<addr-line>08193 Barcelona, Spain</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Shiodera, S" sort="Shiodera, S" uniqKey="Shiodera S" first="S" last="Shiodera">S. Shiodera</name>
<affiliation>
<nlm:aff id="au81">
<institution>Center for Sustainability Science, Hokkaido University</institution>
<addr-line>060-080 Sapporo, Japan</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Shipley, B" sort="Shipley, B" uniqKey="Shipley B" first="B" last="Shipley">B. Shipley</name>
<affiliation>
<nlm:aff id="au82">
<institution>Département de Biologie, Université de Sherbrooke</institution>
<addr-line>Québec Sherbrooke, Canada</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Siefert, A" sort="Siefert, A" uniqKey="Siefert A" first="A" last="Siefert">A. Siefert</name>
<affiliation>
<nlm:aff id="au83">
<institution>Department of Biology, Syracuse University</institution>
<addr-line>New York, NY 13244, USA</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Sosinski, E" sort="Sosinski, E" uniqKey="Sosinski E" first="E" last="Sosinski">E. Sosinski</name>
<affiliation>
<nlm:aff id="au84">
<institution>Laboratory of Environmental Planning, Embrapa Temperate Agriculture</institution>
<addr-line>96010-971 Pelotas, Brazil</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
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<affiliation>
<nlm:aff id="au59">
<institution>Grassland Ecosystem Research, INRA</institution>
<addr-line>63100 Clermont-Ferrand, France</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Swaine, E" sort="Swaine, E" uniqKey="Swaine E" first="E" last="Swaine">E. Swaine</name>
<affiliation>
<nlm:aff id="au85">
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</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Swenson, N" sort="Swenson, N" uniqKey="Swenson N" first="N" last="Swenson">N. Swenson</name>
<affiliation>
<nlm:aff id="au86">
<institution>Department of Plant Biology & Ecology, Michigan State University</institution>
<addr-line>East Lansing, MI 48824, USA</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Thompson, K" sort="Thompson, K" uniqKey="Thompson K" first="K" last="Thompson">K. Thompson</name>
<affiliation>
<nlm:aff id="au87">
<institution>Department of Animal and Plant Sciences, University of Sheffield</institution>
<addr-line>S10 2TN Sheffield, UK</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Thornton, P" sort="Thornton, P" uniqKey="Thornton P" first="P" last="Thornton">P. Thornton</name>
<affiliation>
<nlm:aff id="au88">
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<addr-line>Oak Ridge, TN 37831-6301, USA</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Waldram, M" sort="Waldram, M" uniqKey="Waldram M" first="M" last="Waldram">M. Waldram</name>
<affiliation>
<nlm:aff id="au89">
<institution>Department of Geography, Leicester University</institution>
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</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Weiher, E" sort="Weiher, E" uniqKey="Weiher E" first="E" last="Weiher">E. Weiher</name>
<affiliation>
<nlm:aff id="au56">
<institution>Department of Biology, University of Wisconsin-Eau Claire</institution>
<addr-line>Eau Claire, WI 54701, USA</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="White, M" sort="White, M" uniqKey="White M" first="M" last="White">M. White</name>
<affiliation>
<nlm:aff id="au90">
<institution>Department of Watershed Sciences, Utah State University</institution>
<addr-line>Logan, UT 84322-5210, USA</addr-line>
</nlm:aff>
</affiliation>
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<author>
<name sortKey="White, S" sort="White, S" uniqKey="White S" first="S" last="White">S. White</name>
<affiliation>
<nlm:aff id="au12">
<institution>School of Environmental Sciences, University of Guelph</institution>
<addr-line>Ontario, N1G 2W1 Guelph, Canada</addr-line>
</nlm:aff>
</affiliation>
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<author>
<name sortKey="Wright, S J" sort="Wright, S J" uniqKey="Wright S" first="S J" last="Wright">S J Wright</name>
<affiliation>
<nlm:aff id="au91">
<institution>Smithsonian Tropical Research Institute</institution>
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<nlm:aff id="au92">
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<addr-line>CNRS, 35042 Rennes, France</addr-line>
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<author>
<name sortKey="Zaehle, S" sort="Zaehle, S" uniqKey="Zaehle S" first="S" last="Zaehle">S. Zaehle</name>
<affiliation>
<nlm:aff id="au1">
<institution>Max-Planck-Institute for Biogeochemistry</institution>
<addr-line>07745 Jena, Germany</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Zanne, A E" sort="Zanne, A E" uniqKey="Zanne A" first="A E" last="Zanne">A E Zanne</name>
<affiliation>
<nlm:aff id="au93">
<institution>Department of Biology, University of Missouri</institution>
<addr-line>St. Louis, MO 63121-4400, USA</addr-line>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Wirth, C" sort="Wirth, C" uniqKey="Wirth C" first="C" last="Wirth">C. Wirth</name>
<affiliation>
<nlm:aff id="au68">
<institution>Department Biology, Faculty of Science, Kyushu University</institution>
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</nlm:aff>
</affiliation>
</author>
</analytic>
<series>
<title level="j">Global Change Biology</title>
<idno type="ISSN">1354-1013</idno>
<idno type="eISSN">1365-2486</idno>
<imprint>
<date when="2011">2011</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass></textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<p>Plant traits – the morphological, anatomical, physiological, biochemical and phenological characteristics of plants and their organs – determine how primary producers respond to environmental factors, affect other trophic levels, influence ecosystem processes and services and provide a link from species richness to ecosystem functional diversity. Trait data thus represent the raw material for a wide range of research from evolutionary biology, community and functional ecology to biogeography. Here we present the global database initiative named TRY, which has united a wide range of the plant trait research community worldwide and gained an unprecedented buy-in of trait data: so far 93 trait databases have been contributed. The data repository currently contains almost three million trait entries for 69 000 out of the world's 300 000 plant species, with a focus on 52 groups of traits characterizing the vegetative and regeneration stages of the plant life cycle, including growth, dispersal, establishment and persistence. A first data analysis shows that most plant traits are approximately log-normally distributed, with widely differing ranges of variation across traits. Most trait variation is between species (interspecific), but significant intraspecific variation is also documented, up to 40% of the overall variation. Plant functional types (PFTs), as commonly used in vegetation models, capture a substantial fraction of the observed variation – but for several traits most variation occurs within PFTs, up to 75% of the overall variation. In the context of vegetation models these traits would better be represented by state variables rather than fixed parameter values. The improved availability of plant trait data in the unified global database is expected to support a paradigm shift from species to trait-based ecology, offer new opportunities for synthetic plant trait research and enable a more realistic and empirically grounded representation of terrestrial vegetation in Earth system models.</p>
</div>
</front>
<back>
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<article-id pub-id-type="doi">10.1111/j.1365-2486.2011.02451.x</article-id>
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<given-names>J</given-names>
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<xref ref-type="aff" rid="au69">‡‡‡‡‡‡‡‡‡‡‡‡</xref>
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<name>
<surname>Overbeck</surname>
<given-names>G</given-names>
</name>
<xref ref-type="aff" rid="au70">§§§§§§§§§§§§</xref>
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<name>
<surname>Ozinga</surname>
<given-names>W A</given-names>
</name>
<xref ref-type="aff" rid="au71">¶¶¶¶¶¶¶¶¶¶¶¶</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Patiño</surname>
<given-names>S</given-names>
</name>
<xref ref-type="aff" rid="au15">‡‡‡</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Paula</surname>
<given-names>S</given-names>
</name>
<xref ref-type="aff" rid="au72">||||||||||||</xref>
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<given-names>J G</given-names>
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<xref ref-type="aff" rid="au72">||||||||||||</xref>
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<name>
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<given-names>J</given-names>
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<xref ref-type="aff" rid="au33">‡‡‡‡‡‡</xref>
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<name>
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<given-names>O L</given-names>
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<xref ref-type="aff" rid="au15">‡‡‡</xref>
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<name>
<surname>Pillar</surname>
<given-names>V</given-names>
</name>
<xref ref-type="aff" rid="au18">|||</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Poorter</surname>
<given-names>H</given-names>
</name>
<xref ref-type="aff" rid="au73">*************</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Poorter</surname>
<given-names>L</given-names>
</name>
<xref ref-type="aff" rid="au74">†††††††††††††</xref>
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<contrib contrib-type="author">
<name>
<surname>Poschlod</surname>
<given-names>P</given-names>
</name>
<xref ref-type="aff" rid="au75">‡‡‡‡‡‡‡‡‡‡‡‡‡</xref>
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<contrib contrib-type="author">
<name>
<surname>Prinzing</surname>
<given-names>A</given-names>
</name>
<xref ref-type="aff" rid="au76">§§§§§§§§§§§§§</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Proulx</surname>
<given-names>R</given-names>
</name>
<xref ref-type="aff" rid="au77">¶¶¶¶¶¶¶¶¶¶¶¶¶</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rammig</surname>
<given-names>A</given-names>
</name>
<xref ref-type="aff" rid="au78">|||||||||||||</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Reinsch</surname>
<given-names>S</given-names>
</name>
<xref ref-type="aff" rid="au79">**************</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Reu</surname>
<given-names>B</given-names>
</name>
<xref ref-type="aff" rid="au1">*</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sack</surname>
<given-names>L</given-names>
</name>
<xref ref-type="aff" rid="au80">††††††††††††††</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Salgado-Negret</surname>
<given-names>B</given-names>
</name>
<xref ref-type="aff" rid="au22">§§§§</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sardans</surname>
<given-names>J</given-names>
</name>
<xref ref-type="aff" rid="au33">‡‡‡‡‡‡</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shiodera</surname>
<given-names>S</given-names>
</name>
<xref ref-type="aff" rid="au81">‡‡‡‡‡‡‡‡‡‡‡‡‡‡</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shipley</surname>
<given-names>B</given-names>
</name>
<xref ref-type="aff" rid="au82">§§§§§§§§§§§§§§</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Siefert</surname>
<given-names>A</given-names>
</name>
<xref ref-type="aff" rid="au83">¶¶¶¶¶¶¶¶¶¶¶¶¶¶</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sosinski</surname>
<given-names>E</given-names>
</name>
<xref ref-type="aff" rid="au84">||||||||||||||</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Soussana</surname>
<given-names>J-F</given-names>
</name>
<xref ref-type="aff" rid="au59">¶¶¶¶¶¶¶¶¶¶</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Swaine</surname>
<given-names>E</given-names>
</name>
<xref ref-type="aff" rid="au85">***************</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Swenson</surname>
<given-names>N</given-names>
</name>
<xref ref-type="aff" rid="au86">†††††††††††††††</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Thompson</surname>
<given-names>K</given-names>
</name>
<xref ref-type="aff" rid="au87">‡‡‡‡‡‡‡‡‡‡‡‡‡‡‡</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Thornton</surname>
<given-names>P</given-names>
</name>
<xref ref-type="aff" rid="au88">§§§§§§§§§§§§§§§</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Waldram</surname>
<given-names>M</given-names>
</name>
<xref ref-type="aff" rid="au89">¶¶¶¶¶¶¶¶¶¶¶¶¶¶¶</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Weiher</surname>
<given-names>E</given-names>
</name>
<xref ref-type="aff" rid="au56">††††††††††</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>White</surname>
<given-names>M</given-names>
</name>
<xref ref-type="aff" rid="au90">|||||||||||||||</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>White</surname>
<given-names>S</given-names>
</name>
<xref ref-type="aff" rid="au12">||</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wright</surname>
<given-names>S J</given-names>
</name>
<xref ref-type="aff" rid="au91">****************</xref>
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<contrib contrib-type="author">
<name>
<surname>Yguel</surname>
<given-names>B</given-names>
</name>
<xref ref-type="aff" rid="au92">††††††††††††††††</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zaehle</surname>
<given-names>S</given-names>
</name>
<xref ref-type="aff" rid="au1">*</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zanne</surname>
<given-names>A E</given-names>
</name>
<xref ref-type="aff" rid="au93">‡‡‡‡‡‡‡‡‡‡‡‡‡‡‡‡</xref>
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<contrib contrib-type="author">
<name>
<surname>Wirth</surname>
<given-names>C</given-names>
</name>
<xref ref-type="aff" rid="au68">††††††††††††</xref>
</contrib>
<aff id="au1">
<label>*</label>
<institution>Max-Planck-Institute for Biogeochemistry</institution>
<addr-line>07745 Jena, Germany</addr-line>
</aff>
<aff id="au2">
<label></label>
<institution>Instituto Multidisciplinario de Biología Vegetal, Universidad Nacional de Córdoba</institution>
<addr-line>5000 Córdoba, Argentina</addr-line>
</aff>
<aff id="au3">
<label></label>
<institution>Laboratoire d'Ecologie Alpine (LECA)</institution>
<addr-line>CNRS, 38041 Grenoble, France</addr-line>
</aff>
<aff id="au4">
<label>§</label>
<institution>Department of Biological Sciences, Macquarie University</institution>
<addr-line>Sydney, NSW 2109, Australia</addr-line>
</aff>
<aff id="au5">
<label></label>
<institution>Laboratoire d'Ecologie, Systématique et Evolution (ESE), Université Paris-Sud</institution>
<addr-line>91495 Paris, France</addr-line>
</aff>
<aff id="au6">
<label>|</label>
<institution>Centre d'Ecologie Fonctionnelle et Evolutive, CNRS</institution>
<addr-line>34293 Montpellier, France</addr-line>
</aff>
<aff id="au7">
<label>**</label>
<institution>Department of Forest Resources and Institute of the Environment, University of Minnesota, St. Paul</institution>
<addr-line>MN 55108, USA</addr-line>
</aff>
<aff id="au8">
<label>††</label>
<institution>Hawkesbury Institute for the Environment, University of Western Sydney</institution>
<addr-line>Richmond NSW 2753 Australia</addr-line>
</aff>
<aff id="au9">
<label>‡‡</label>
<institution>Faculty of Earth and Life Sciences, Vrije Universiteit Amsterdam</institution>
<addr-line>1081 HV Amsterdam, The Netherlands</addr-line>
</aff>
<aff id="au10">
<label>§§</label>
<institution>Department of Ecology and Evolutionary Biology, University of Arizona</institution>
<addr-line>Tucson, AZ 85721, USA</addr-line>
</aff>
<aff id="au11">
<label>¶¶</label>
<institution>Department of Integrative Biology, University of California</institution>
<addr-line>Berkeley, CA 94720-3140, USA</addr-line>
</aff>
<aff id="au12">
<label>||</label>
<institution>School of Environmental Sciences, University of Guelph</institution>
<addr-line>Ontario, N1G 2W1 Guelph, Canada</addr-line>
</aff>
<aff id="au13">
<label>***</label>
<institution>Research School of Biology, Australian National University</institution>
<addr-line>Canberra, ACT 0200, Australia</addr-line>
</aff>
<aff id="au14">
<label>†††</label>
<institution>Institute of Ecology, University of Innsbruck</institution>
<addr-line>6020 Innsbruck, Austria</addr-line>
</aff>
<aff id="au15">
<label>‡‡‡</label>
<institution>School of Geography, University of Leeds</institution>
<addr-line>LS2 9JT West Yorkshire, UK</addr-line>
</aff>
<aff id="au16">
<label>§§§</label>
<institution>Department of Environmental Science & Atmospheric Science Center, University of California</institution>
<addr-line>Berkeley, CA 94720, USA</addr-line>
</aff>
<aff id="au17">
<label>¶¶¶</label>
<institution>Centre for Life Sciences, University of Groningen</institution>
<addr-line>9700 CC Groningen, The Netherlands</addr-line>
</aff>
<aff id="au18">
<label>|||</label>
<institution>Departamento de Ecologia, Universidade Federal do Rio Grande do Sul</institution>
<addr-line>91501-970 Porto Alegre, Brasil</addr-line>
</aff>
<aff id="au19">
<label>****</label>
<institution>Department of Botany, University of Cape Town</institution>
<addr-line>7701 Rondebosch, South Africa</addr-line>
</aff>
<aff id="au20">
<label>††††</label>
<institution>School of Biological Science, University of Wollongong</institution>
<addr-line>2522 Wollongong, NSW, Australia</addr-line>
</aff>
<aff id="au21">
<label>‡‡‡‡</label>
<institution>Department of Biological Sciences, New Jersey Institute of Technology</institution>
<addr-line>Newark, NJ 07102, USA</addr-line>
</aff>
<aff id="au22">
<label>§§§§</label>
<institution>Tropical Agricultural Centre for Research and Higher Education (CATIE)</institution>
<addr-line>93-7170 Turrialba, Costa Rica</addr-line>
</aff>
<aff id="au23">
<label>¶¶¶¶</label>
<institution>Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul</institution>
<addr-line>MN 55108, USA</addr-line>
</aff>
<aff id="au24">
<label>||||</label>
<institution>Climate Sciences Department, Lawrence Berkeley National Laboratory</institution>
<addr-line>Berkeley, CA 94720, USA</addr-line>
</aff>
<aff id="au25">
<label>*****</label>
<institution>Institute of Arctic Biology, University of Alaska Fairbanks</institution>
<addr-line>Fairbanks, AK 99775, USA</addr-line>
</aff>
<aff id="au26">
<label>†††††</label>
<institution>Laboratoire Evolution et Diversité Biologique, CNRS</institution>
<addr-line>Toulouse, France</addr-line>
</aff>
<aff id="au27">
<label>‡‡‡‡‡</label>
<institution>Department of Plant Sciences, University of Cambridge</institution>
<addr-line>CB3 2EA Cambridge, UK</addr-line>
</aff>
<aff id="au28">
<label>§§§§§</label>
<institution>Division of Biology, Kansas State University</institution>
<addr-line>KS 66506 Manhattan, USA</addr-line>
</aff>
<aff id="au29">
<label>¶¶¶¶¶</label>
<institution>Departamento de Ecologia, Federal University of Rio Grande do Sul</institution>
<addr-line>91540-000 Porto Alegre, Brazil</addr-line>
</aff>
<aff id="au30">
<label>|||||</label>
<institution>Department of Community Ecology, Helmholtz Centre for Environmental Research</institution>
<addr-line>06120 Halle, Germany</addr-line>
</aff>
<aff id="au31">
<label>******</label>
<institution>School of Life Sciences, Arizona State University</institution>
<addr-line>Tempe, AZ 85287-4501, USA</addr-line>
</aff>
<aff id="au32">
<label>††††††</label>
<institution>Institute for Plant Ecology, Justus-Liebig-University</institution>
<addr-line>35392 Giessen, Germany</addr-line>
</aff>
<aff id="au33">
<label>‡‡‡‡‡‡</label>
<institution>Global Ecology Unit CREAF-CEAB-CSIC, Universitat Autònoma de Barcelona</institution>
<addr-line>08193 Barcelona, Spain</addr-line>
</aff>
<aff id="au34">
<label>§§§§§§</label>
<institution>Department of Biology, University of Maryland, College Park</institution>
<addr-line>MD 20742, USA</addr-line>
</aff>
<aff id="au35">
<label>¶¶¶¶¶¶</label>
<institution>Department of Ecology, University of Peking</institution>
<addr-line>100871 Beijing, China</addr-line>
</aff>
<aff id="au36">
<label>||||||</label>
<institution>Departamento de Ciencias Forestales, Universidad del Tolima</institution>
<addr-line>Tolima, Colombia</addr-line>
</aff>
<aff id="au37">
<label>*******</label>
<institution>Department of Ecology, Universidade de São Paulo</institution>
<addr-line>05508900 São Paulo, Brazil</addr-line>
</aff>
<aff id="au38">
<label>†††††††</label>
<institution>PVBMT, Université de la Réunion</institution>
<addr-line>97410 Saint Pierre, France</addr-line>
</aff>
<aff id="au39">
<label>‡‡‡‡‡‡‡</label>
<institution>Department of Biology, University of York</institution>
<addr-line>Bath, UK</addr-line>
</aff>
<aff id="au40">
<label>§§§§§§§</label>
<institution>Department of Organismic and Evolutionary Biology, Harvard University</institution>
<addr-line>MA 02138, USA</addr-line>
</aff>
<aff id="au41">
<label>¶¶¶¶¶¶¶</label>
<institution>Department of Ecological Modelling, Helmholtz Centre for Environmental Research</institution>
<addr-line>04318 Leipzig, Germany</addr-line>
</aff>
<aff id="au42">
<label>|||||||</label>
<institution>LOEWE Biodiversity and Climate Research Centre</institution>
<addr-line>60325 Frankfurt, Germany</addr-line>
</aff>
<aff id="au43">
<label>********</label>
<institution>Institut für Physische Geographie, Goethe-University Frankfurt</institution>
<addr-line>60438 Frankfurt, Germany</addr-line>
</aff>
<aff id="au44">
<label>††††††††</label>
<institution>Department of Botany, University of Sheffield</institution>
<addr-line>Sheffield, UK</addr-line>
</aff>
<aff id="au45">
<label>‡‡‡‡‡‡‡‡</label>
<institution>Department of Botany, Research Institute of Forests and Rangelands</institution>
<addr-line>Tehran, Iran</addr-line>
</aff>
<aff id="au46">
<label>§§§§§§§§</label>
<institution>Institute for Systematic Botany and Ecology, Ulm University</institution>
<addr-line>89081 Ulm, Germany</addr-line>
</aff>
<aff id="au47">
<label>¶¶¶¶¶¶¶¶</label>
<institution>Department of Plant Biology, State University of Campinas</institution>
<addr-line>CP 6109 Campinas, Brazil</addr-line>
</aff>
<aff id="au48">
<label>||||||||</label>
<institution>Departments for Biology and Mathematics, Kenyon College</institution>
<addr-line>Gambier, OH 43022, USA</addr-line>
</aff>
<aff id="au49">
<label>*********</label>
<institution>Herbarium, Library Art and Archives</institution>
<addr-line>The Royal Botanic Gardens, Kew, TW9 3AE London, UK</addr-line>
</aff>
<aff id="au50">
<label>†††††††††</label>
<institution>Department of Biology, University of Florida</institution>
<addr-line>Gainesville, FL, USA</addr-line>
</aff>
<aff id="au51">
<label>‡‡‡‡‡‡‡‡‡</label>
<institution>Institute of Biology and Environmental Sciences, University of Oldenburg</institution>
<addr-line>26129 Oldenburg, Germany</addr-line>
</aff>
<aff id="au52">
<label>§§§§§§§§§</label>
<institution>School of Biological Sciences, University of Nebraska</institution>
<addr-line>Lincoln, NE 68588-0118, USA</addr-line>
</aff>
<aff id="au53">
<label>¶¶¶¶¶¶¶¶¶</label>
<institution>Vegetation and Landscape Ecology</institution>
<addr-line>Alterra, 6700 Wageningen, The Netherlands</addr-line>
</aff>
<aff id="au54">
<label>|||||||||</label>
<institution>Graduate School of Life Sciences, Tohoku University</institution>
<addr-line>980-8578 Sendai, Japan</addr-line>
</aff>
<aff id="au55">
<label>**********</label>
<institution>School of Forestry, Northern Arizona University</institution>
<addr-line>Flagstaff, AZ 86011, USA</addr-line>
</aff>
<aff id="au56">
<label>††††††††††</label>
<institution>Department of Biology, University of Wisconsin-Eau Claire</institution>
<addr-line>Eau Claire, WI 54701, USA</addr-line>
</aff>
<aff id="au57">
<label>‡‡‡‡‡‡‡‡‡‡</label>
<institution>The Netherlands Centre for Biodiversity Naturalis</institution>
<addr-line>2300 RA Leiden, The Netherlands</addr-line>
</aff>
<aff id="au58">
<label>§§§§§§§§§§</label>
<institution>James Cook University</institution>
<addr-line>Qld 4870 Cairns, Australia</addr-line>
</aff>
<aff id="au59">
<label>¶¶¶¶¶¶¶¶¶¶</label>
<institution>Grassland Ecosystem Research, INRA</institution>
<addr-line>63100 Clermont-Ferrand, France</addr-line>
</aff>
<aff id="au60">
<label>||||||||||</label>
<institution>Department of Environmental Science, University of California</institution>
<addr-line>Berkeley, CA 94720-3140, USA</addr-line>
</aff>
<aff id="au61">
<label>***********</label>
<institution>School of Agriculture, Newcastle University</institution>
<addr-line>NE1 7RU Newcastle, UK</addr-line>
</aff>
<aff id="au62">
<label>†††††††††††</label>
<institution>School of Biological Earth and Environmental Sciences, University New South Wales</institution>
<addr-line>2031 Sydney, NSW, Australia</addr-line>
</aff>
<aff id="au63">
<label>‡‡‡‡‡‡‡‡‡‡‡</label>
<institution>Institute for Special Botany and Functional Biodiversity, University of Leipzig</institution>
<addr-line>04103 Leipzig, Germany</addr-line>
</aff>
<aff id="au64">
<label>§§§§§§§§§§§</label>
<institution>Department of Ecology, Evolution and Environmental Biology, Columbia University</institution>
<addr-line>NY, USA</addr-line>
</aff>
<aff id="au65">
<label>¶¶¶¶¶¶¶¶¶¶¶</label>
<institution>Department of Plant Physiology, Estonian University of Life Sciences</institution>
<addr-line>51014 Tartu, Estonia</addr-line>
</aff>
<aff id="au66">
<label>|||||||||||</label>
<institution>Institute of Dendrology, Polish Academy of Sciences</institution>
<addr-line>62-035 Kornik, Poland</addr-line>
</aff>
<aff id="au67">
<label>************</label>
<institution>Department of Geobotany, Moscow State University</institution>
<addr-line>119991 Moscow, Russia</addr-line>
</aff>
<aff id="au68">
<label>††††††††††††</label>
<institution>Department Biology, Faculty of Science, Kyushu University</institution>
<addr-line>812-8581 Fukuoka, Japan</addr-line>
</aff>
<aff id="au69">
<label>‡‡‡‡‡‡‡‡‡‡‡‡</label>
<institution>Law and Governance Group, Wageningen University</institution>
<addr-line>6706 KN Wageningen, The Netherlands</addr-line>
</aff>
<aff id="au70">
<label>§§§§§§§§§§§§</label>
<institution>Departamento de Botânica, Universidade Federal do Rio Grande do Sul</institution>
<addr-line>91501-970 Porto Alegre, Brazil</addr-line>
</aff>
<aff id="au71">
<label>¶¶¶¶¶¶¶¶¶¶¶¶</label>
<institution>Centre for Ecosystem Studies</institution>
<addr-line>Alterra, 6700 Wageningen, The Netherlands</addr-line>
</aff>
<aff id="au72">
<label>||||||||||||</label>
<institution>Centro de Investigaciones sobre Desertificación, Spanish National Research Council</institution>
<addr-line>46113 Valencia, Spain</addr-line>
</aff>
<aff id="au73">
<label>*************</label>
<institution>Plant Sciences</institution>
<addr-line>Forschungszentrum Jülich, 52428 Jülich, Germany</addr-line>
</aff>
<aff id="au74">
<label>†††††††††††††</label>
<institution>Center for Ecosystem Studies, Wageningen University</institution>
<addr-line>6700 AA Wageningen, The Netherlands</addr-line>
</aff>
<aff id="au75">
<label>‡‡‡‡‡‡‡‡‡‡‡‡‡</label>
<institution>Institute of Botany, University of Regensburg</institution>
<addr-line>93040 Regensburg, Germany</addr-line>
</aff>
<aff id="au76">
<label>§§§§§§§§§§§§§</label>
<institution>Laboratoire Ecobio, Université de Rennes</institution>
<addr-line>35042 Rennes, France</addr-line>
</aff>
<aff id="au77">
<label>¶¶¶¶¶¶¶¶¶¶¶¶¶</label>
<institution>Biologie Systémique de la Conservation, Université du Québec</institution>
<addr-line>Trois-Rivières, Canada</addr-line>
</aff>
<aff id="au78">
<label>|||||||||||||</label>
<institution>Potsdam Institute for Climate Impact Research</institution>
<addr-line>14412 Potsdam, Germany</addr-line>
</aff>
<aff id="au79">
<label>**************</label>
<institution>Biosystems Division, Risø National Laboratory for Sustainable Energy</institution>
<addr-line>4000 Roskilde, Denmark</addr-line>
</aff>
<aff id="au80">
<label>††††††††††††††</label>
<institution>Department of Ecology and Evolutionary Biology, University of California</institution>
<addr-line>Los Angeles, CA 90095, USA</addr-line>
</aff>
<aff id="au81">
<label>‡‡‡‡‡‡‡‡‡‡‡‡‡‡</label>
<institution>Center for Sustainability Science, Hokkaido University</institution>
<addr-line>060-080 Sapporo, Japan</addr-line>
</aff>
<aff id="au82">
<label>§§§§§§§§§§§§§§</label>
<institution>Département de Biologie, Université de Sherbrooke</institution>
<addr-line>Québec Sherbrooke, Canada</addr-line>
</aff>
<aff id="au83">
<label>¶¶¶¶¶¶¶¶¶¶¶¶¶¶</label>
<institution>Department of Biology, Syracuse University</institution>
<addr-line>New York, NY 13244, USA</addr-line>
</aff>
<aff id="au84">
<label>||||||||||||||</label>
<institution>Laboratory of Environmental Planning, Embrapa Temperate Agriculture</institution>
<addr-line>96010-971 Pelotas, Brazil</addr-line>
</aff>
<aff id="au85">
<label>***************</label>
<institution>Biological Sciences, University of Aberdeen</institution>
<addr-line>AB25 2ZD Aberdeen, Scotland, UK</addr-line>
</aff>
<aff id="au86">
<label>†††††††††††††††</label>
<institution>Department of Plant Biology & Ecology, Michigan State University</institution>
<addr-line>East Lansing, MI 48824, USA</addr-line>
</aff>
<aff id="au87">
<label>‡‡‡‡‡‡‡‡‡‡‡‡‡‡‡</label>
<institution>Department of Animal and Plant Sciences, University of Sheffield</institution>
<addr-line>S10 2TN Sheffield, UK</addr-line>
</aff>
<aff id="au88">
<label>§§§§§§§§§§§§§§§</label>
<institution>Environmental Sciences Division, Oak Ridge National Laboratory</institution>
<addr-line>Oak Ridge, TN 37831-6301, USA</addr-line>
</aff>
<aff id="au89">
<label>¶¶¶¶¶¶¶¶¶¶¶¶¶¶¶</label>
<institution>Department of Geography, Leicester University</institution>
<addr-line>LE1 7RH Leicester, UK</addr-line>
</aff>
<aff id="au90">
<label>|||||||||||||||</label>
<institution>Department of Watershed Sciences, Utah State University</institution>
<addr-line>Logan, UT 84322-5210, USA</addr-line>
</aff>
<aff id="au91">
<label>****************</label>
<institution>Smithsonian Tropical Research Institute</institution>
<addr-line>0843-03092 Balboa, Republic of Panama</addr-line>
</aff>
<aff id="au92">
<label>††††††††††††††††</label>
<institution>Laboratoire Ecobio Université de Rennes</institution>
<addr-line>CNRS, 35042 Rennes, France</addr-line>
</aff>
<aff id="au93">
<label>‡‡‡‡‡‡‡‡‡‡‡‡‡‡‡‡</label>
<institution>Department of Biology, University of Missouri</institution>
<addr-line>St. Louis, MO 63121-4400, USA</addr-line>
</aff>
</contrib-group>
<author-notes>
<corresp id="cor1">Jens Kattge, Max-Planck-Institute for Biogeochemistry, Hans-Knöll Straβe 10, 07745 Jena, Germany, tel. +49 3641 576226, e-mail:
<email>jkattge@bgc-jena.mpg.de</email>
</corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>9</month>
<year>2011</year>
</pub-date>
<volume>17</volume>
<issue>9</issue>
<fpage>2905</fpage>
<lpage>2935</lpage>
<history>
<date date-type="received">
<day>11</day>
<month>1</month>
<year>2011</year>
</date>
<date date-type="accepted">
<day>24</day>
<month>2</month>
<year>2011</year>
</date>
</history>
<permissions>
<copyright-statement>© 2011 Blackwell Publishing Ltd</copyright-statement>
<copyright-year>2011</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.5/">
<license-p>Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.</license-p>
</license>
</permissions>
<abstract>
<p>Plant traits – the morphological, anatomical, physiological, biochemical and phenological characteristics of plants and their organs – determine how primary producers respond to environmental factors, affect other trophic levels, influence ecosystem processes and services and provide a link from species richness to ecosystem functional diversity. Trait data thus represent the raw material for a wide range of research from evolutionary biology, community and functional ecology to biogeography. Here we present the global database initiative named TRY, which has united a wide range of the plant trait research community worldwide and gained an unprecedented buy-in of trait data: so far 93 trait databases have been contributed. The data repository currently contains almost three million trait entries for 69 000 out of the world's 300 000 plant species, with a focus on 52 groups of traits characterizing the vegetative and regeneration stages of the plant life cycle, including growth, dispersal, establishment and persistence. A first data analysis shows that most plant traits are approximately log-normally distributed, with widely differing ranges of variation across traits. Most trait variation is between species (interspecific), but significant intraspecific variation is also documented, up to 40% of the overall variation. Plant functional types (PFTs), as commonly used in vegetation models, capture a substantial fraction of the observed variation – but for several traits most variation occurs within PFTs, up to 75% of the overall variation. In the context of vegetation models these traits would better be represented by state variables rather than fixed parameter values. The improved availability of plant trait data in the unified global database is expected to support a paradigm shift from species to trait-based ecology, offer new opportunities for synthetic plant trait research and enable a more realistic and empirically grounded representation of terrestrial vegetation in Earth system models.</p>
</abstract>
<kwd-group>
<kwd>comparative ecology</kwd>
<kwd>database</kwd>
<kwd>environmental gradient</kwd>
<kwd>functional diversity</kwd>
<kwd>global analysis</kwd>
<kwd>global change</kwd>
<kwd>interspecific variation</kwd>
<kwd>intraspecific variation</kwd>
<kwd>plant attribute</kwd>
<kwd>plant functional type</kwd>
<kwd>plant trait</kwd>
<kwd>vegetation model</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec>
<title>Introduction</title>
<p>Plant traits – morphological, anatomical, biochemical, physiological or phenological features measurable at the individual level (
<xref ref-type="bibr" rid="b226">Violle
<italic>et al.</italic>
, 2007</xref>
) – reflect the outcome of evolutionary and community assembly processes responding to abiotic and biotic environmental constraints (
<xref ref-type="bibr" rid="b220">Valladares
<italic>et al.</italic>
, 2007</xref>
). Traits and trait syndromes (consistent associations of plant traits) determine how primary producers respond to environmental factors, affect other trophic levels and influence ecosystem processes and services (
<xref ref-type="bibr" rid="b2">Aerts & Chapin, 2000</xref>
;
<xref ref-type="bibr" rid="b76">Grime, 2001</xref>
,
<xref ref-type="bibr" rid="b77">2006</xref>
;
<xref ref-type="bibr" rid="b110">Lavorel & Garnier, 2002</xref>
;
<xref ref-type="bibr" rid="b49">Díaz
<italic>et al.</italic>
, 2004</xref>
;
<xref ref-type="bibr" rid="b69">Garnier & Navas, 2011</xref>
). In addition, they provide a link from species richness to functional diversity in ecosystems (
<xref ref-type="bibr" rid="b50">Díaz
<italic>et al.</italic>
, 2007</xref>
). A focus on traits and trait syndromes therefore provides a promising basis for a more quantitative and predictive ecology and global change science (
<xref ref-type="bibr" rid="b121">McGill
<italic>et al.</italic>
, 2006</xref>
;
<xref ref-type="bibr" rid="b233">Westoby & Wright, 2006</xref>
).</p>
<p>Plant trait data have been used in studies ranging from comparative plant ecology (
<xref ref-type="bibr" rid="b74">Grime, 1974</xref>
;
<xref ref-type="bibr" rid="b71">Givnish, 1988</xref>
;
<xref ref-type="bibr" rid="b163">Peat & Fitter, 1994</xref>
;
<xref ref-type="bibr" rid="b78">Grime
<italic>et al.</italic>
, 1997</xref>
) and functional ecology (
<xref ref-type="bibr" rid="b75">Grime, 1977</xref>
;
<xref ref-type="bibr" rid="b185">Reich
<italic>et al.</italic>
, 1997</xref>
;
<xref ref-type="bibr" rid="b247">Wright
<italic>et al.</italic>
, 2004</xref>
) to community ecology (
<xref ref-type="bibr" rid="b212">Shipley
<italic>et al.</italic>
, 2006</xref>
;
<xref ref-type="bibr" rid="b102">Kraft
<italic>et al.</italic>
, 2008</xref>
), trait evolution (
<xref ref-type="bibr" rid="b134">Moles
<italic>et al.</italic>
, 2005a</xref>
), phylogeny reconstruction (
<xref ref-type="bibr" rid="b112">Lens
<italic>et al.</italic>
, 2007</xref>
), metabolic scaling theory (
<xref ref-type="bibr" rid="b53">Enquist
<italic>et al.</italic>
, 2007</xref>
), palaeobiology (
<xref ref-type="bibr" rid="b189">Royer
<italic>et al.</italic>
, 2007</xref>
), biogeochemistry (
<xref ref-type="bibr" rid="b66">Garnier
<italic>et al.</italic>
, 2004</xref>
;
<xref ref-type="bibr" rid="b44">Cornwell
<italic>et al.</italic>
, 2008</xref>
), disturbance ecology (
<xref ref-type="bibr" rid="b240">Wirth, 2005</xref>
;
<xref ref-type="bibr" rid="b159">Paula & Pausas, 2008</xref>
), plant migration and invasion ecology (
<xref ref-type="bibr" rid="b200">Schurr
<italic>et al.</italic>
, 2005</xref>
), conservation biology (
<xref ref-type="bibr" rid="b154">Ozinga
<italic>et al.</italic>
, 2009</xref>
;
<xref ref-type="bibr" rid="b187">Römermann
<italic>et al.</italic>
, 2009</xref>
) and plant geography (
<xref ref-type="bibr" rid="b219">Swenson & Weiser, 2010</xref>
). Access to trait data for a large number of species allows testing levels of phylogenetic conservatism, a promising principle in ecology and evolutionary biology (
<xref ref-type="bibr" rid="b237">Wiens
<italic>et al.</italic>
, 2010</xref>
). Plant trait data have been used for the estimation of parameter values in vegetation models, but only in a few cases based on systematic analyses of trait spectra (
<xref ref-type="bibr" rid="b234">White
<italic>et al.</italic>
, 2000</xref>
;
<xref ref-type="bibr" rid="b90">Kattge
<italic>et al.</italic>
, 2009</xref>
;
<xref ref-type="bibr" rid="b241">Wirth & Lichstein, 2009</xref>
;
<xref ref-type="bibr" rid="b252">Ziehn
<italic>et al.</italic>
, 2011</xref>
). Recently, plant trait data have been used for the validation of a global vegetation model as well (
<xref ref-type="bibr" rid="b250">Zaehle & Friend, 2010</xref>
).</p>
<p>While there have been initiatives to compile datasets at regional scale for a range of traits [e.g. LEDA (Life History Traits of the Northwest European Flora:
<ext-link ext-link-type="uri" xlink:href="http://www.leda-traitbase.org">http://www.leda-traitbase.org</ext-link>
), BiolFlor (Trait Database of the German Flora:
<ext-link ext-link-type="uri" xlink:href="http://www.ufz.de/biolflor">http://www.ufz.de/biolflor</ext-link>
), EcoFlora (The Ecological Flora of the British Isles:
<ext-link ext-link-type="uri" xlink:href="http://www.ecoflora.co.uk">http://www.ecoflora.co.uk</ext-link>
), BROT (Plant Trait Database for Mediterranean Basin Species:
<ext-link ext-link-type="uri" xlink:href="http://www.uv.es/jgpausas/brot.htm">http://www.uv.es/jgpausas/brot.htm</ext-link>
)] or at global scale focusing on a small number of traits [e.g. GlopNet (Global Plant Trait Network:
<ext-link ext-link-type="uri" xlink:href="http://www.bio.mq.edu.au/~iwright/glopian.htm">http://www.bio.mq.edu.au/~iwright/glopian.htm</ext-link>
), SID (Seed Information Database:
<ext-link ext-link-type="uri" xlink:href="http://data.kew.org/sid/">http://data.kew.org/sid/</ext-link>
)], a unified initiative to compile data for a large set of relevant plant traits at the global scale was lacking. As a consequence studies on trait variation so far have either been focussed on the local to regional scale including a range of different traits (e.g.
<xref ref-type="bibr" rid="b12">Baraloto
<italic>et al.</italic>
, 2010</xref>
), while studies at the global scale were restricted to individual aspects of plant functioning, e.g. the leaf economic spectrum (
<xref ref-type="bibr" rid="b247">Wright
<italic>et al.</italic>
, 2004</xref>
), the evolution of seed mass (
<xref ref-type="bibr" rid="b134">Moles
<italic>et al.</italic>
, 2005a</xref>
,
<xref ref-type="bibr" rid="b135">b</xref>
) or the characterization of the wood economic spectrum (
<xref ref-type="bibr" rid="b29">Chave
<italic>et al.</italic>
, 2009</xref>
). Only few analyses on global scale have combined traits from different functional aspects, but for a limited number of plant species (e.g.
<xref ref-type="bibr" rid="b49">Díaz
<italic>et al.</italic>
, 2004</xref>
).</p>
<p>In 2007, the TRY initiative (TRY – not an acronym, rather an expression of sentiment:
<ext-link ext-link-type="uri" xlink:href="http://www.try-db.org">http://www.try-db.org</ext-link>
) started compiling plant trait data from the different aspects of plant functioning on global scale to make the data available in a consistent format through one single portal. Based on a broad acceptance in the plant trait community (so far 93 trait databases have been contributed,
<xref ref-type="table" rid="tbl1">Table 1</xref>
), TRY has accomplished an unprecedented coverage of trait data and is now working towards a communal global repository for plant trait data. The new database initiative is expected to contribute to a more realistic and empirically based representation of plant functional diversity on global scale supporting the assessment and modelling of climate change impacts on biogeochemical fluxes and terrestrial biodiversity (
<xref ref-type="bibr" rid="b123">McMahon
<italic>et al.</italic>
, 2011</xref>
).</p>
<table-wrap id="tbl1" position="float">
<label>Table 1</label>
<caption>
<p>Databases currently contributing to the TRY database</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" colspan="2" rowspan="1">Name of the Database</th>
<th align="left" rowspan="1" colspan="1">Contact person(s)</th>
<th align="left" rowspan="1" colspan="1">Reference(s)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" colspan="4" rowspan="1">
<italic>Databases public, maintained on the Internet</italic>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 1</td>
<td align="left" rowspan="1" colspan="1">Seed Information Database (SID)*</td>
<td align="left" rowspan="1" colspan="1">J. Dickie, K. Liu</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b188">Royal Botanic Gardens Kew Seed Information Database (SID), (2008)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 2</td>
<td align="left" rowspan="1" colspan="1">Ecological Flora of the British Isles*</td>
<td align="left" rowspan="1" colspan="1">A. Fitter, H. Ford</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b56">Fitter & Peat (1994)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 3</td>
<td align="left" rowspan="1" colspan="1">VegClass CBM Global Database</td>
<td align="left" rowspan="1" colspan="1">A. Gillison</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b70">Gillison & Carpenter (1997)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 4</td>
<td align="left" rowspan="1" colspan="1">PLANTSdata*</td>
<td align="left" rowspan="1" colspan="1">W. A. Green</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b73">Green (2009)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 5</td>
<td align="left" rowspan="1" colspan="1">The LEDA Traitbase*</td>
<td align="left" rowspan="1" colspan="1">M. Kleyer</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b98">Kleyer
<italic>et al.</italic>
(2008)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 6</td>
<td align="left" rowspan="1" colspan="1">BiolFlor Database*</td>
<td align="left" rowspan="1" colspan="1">I. Kühn, S. Klotz</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b99">Klotz
<italic>et al.</italic>
(2002)</xref>
,
<xref ref-type="bibr" rid="b104">Kühn
<italic>et al.</italic>
(2004)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 7</td>
<td align="left" rowspan="1" colspan="1">BROT plant trait database*</td>
<td align="left" rowspan="1" colspan="1">J. G. Pausas, S. Paula</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b160">Paula & Pausas (2009)</xref>
,
<xref ref-type="bibr" rid="b158">Paula
<italic>et al.</italic>
(2009)</xref>
</td>
</tr>
<tr>
<td align="left" colspan="4" rowspan="1">
<italic>Databases public, fixed</italic>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 8</td>
<td align="left" rowspan="1" colspan="1">Tropical Respiration Database</td>
<td align="left" rowspan="1" colspan="1">J. Q. Chambers</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b26">Chambers
<italic>et al.</italic>
(2004</xref>
,
<xref ref-type="bibr" rid="b27">2009)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 9</td>
<td align="left" rowspan="1" colspan="1">ArtDeco Database*</td>
<td align="left" rowspan="1" colspan="1">W. K. Cornwell, J. H. C. Cornelissen</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b44">Cornwell
<italic>et al.</italic>
(2008)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 10</td>
<td align="left" rowspan="1" colspan="1">The Americas N&P database</td>
<td align="left" rowspan="1" colspan="1">B. J. Enquist, A. J. Kerkhoff</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b95">Kerkhoff
<italic>et al.</italic>
(2006)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 11</td>
<td align="left" rowspan="1" colspan="1">ECOCRAFT</td>
<td align="left" rowspan="1" colspan="1">B. E. Medlyn</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b126">Medlyn and Javis (1999)</xref>
,
<xref ref-type="bibr" rid="b124">Medlyn
<italic>et al.</italic>
(1999</xref>
,
<xref ref-type="bibr" rid="b125">2001)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 12</td>
<td align="left" rowspan="1" colspan="1">Tree Tolerance Database*</td>
<td align="left" rowspan="1" colspan="1">Ü. Niinemets</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b142">Niinemets & Valladares (2006)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 13</td>
<td align="left" rowspan="1" colspan="1">Leaf Biomechanics Database*</td>
<td align="left" rowspan="1" colspan="1">Y. Onoda</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b148">Onoda
<italic>et al.</italic>
(2011)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 14</td>
<td align="left" rowspan="1" colspan="1">BIOPOP: Functional Traits for Nature Conservation*</td>
<td align="left" rowspan="1" colspan="1">P. Poschlod</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b173">Poschlod
<italic>et al.</italic>
(2003)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 15</td>
<td align="left" rowspan="1" colspan="1">BIOME-BGC Parameterization Database*</td>
<td align="left" rowspan="1" colspan="1">M. White, P. Thornton</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b234">White
<italic>et al.</italic>
(2000)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 16</td>
<td align="left" rowspan="1" colspan="1">GLOPNET – Global Plant Trait Network Database*</td>
<td align="left" rowspan="1" colspan="1">I. J. Wright, P. B. Reich</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b247">Wright
<italic>et al.</italic>
(2004</xref>
,
<xref ref-type="bibr" rid="b245">2006)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 17</td>
<td align="left" rowspan="1" colspan="1">Global Wood Density Database*</td>
<td align="left" rowspan="1" colspan="1">A. E. Zanne, J. Chave</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b29">Chave
<italic>et al.</italic>
(2009)</xref>
,
<xref ref-type="bibr" rid="b251">Zanne
<italic>et al.</italic>
(2009)</xref>
</td>
</tr>
<tr>
<td align="left" colspan="4" rowspan="1">
<italic>Databases not-public, fixed in the majority of cases</italic>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 18</td>
<td align="left" rowspan="1" colspan="1">Plant Traits in Pollution Gradients Database</td>
<td align="left" rowspan="1" colspan="1">M. Anand</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 19</td>
<td align="left" rowspan="1" colspan="1">Plant Physiology Database</td>
<td align="left" rowspan="1" colspan="1">O. Atkin</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b6">Atkin
<italic>et al.</italic>
(1997</xref>
,
<xref ref-type="bibr" rid="b5">1999)</xref>
,
<xref ref-type="bibr" rid="b114">Loveys
<italic>et al.</italic>
(2003)</xref>
,
<xref ref-type="bibr" rid="b21">Campbell
<italic>et al.</italic>
(2007)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 20</td>
<td align="left" rowspan="1" colspan="1">European Mountain Meadows Plant Traits Database</td>
<td align="left" rowspan="1" colspan="1">M. Bahn</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b7">Bahn
<italic>et al.</italic>
(1999)</xref>
,
<xref ref-type="bibr" rid="b242">Wohlfahrt
<italic>et al.</italic>
(1999)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 21</td>
<td align="left" rowspan="1" colspan="1">Photosynthesis Traits Database</td>
<td align="left" rowspan="1" colspan="1">D. Baldocchi</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b239">Wilson
<italic>et al.</italic>
(2000)</xref>
,
<xref ref-type="bibr" rid="b249">Xu & Baldocchi (2003)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 22</td>
<td align="left" rowspan="1" colspan="1">Photosynthesis and Leaf Characteristics Database</td>
<td align="left" rowspan="1" colspan="1">B. Blonder, B. Enquist</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 23</td>
<td align="left" rowspan="1" colspan="1">Wetland Dunes Plant Traits Database</td>
<td align="left" rowspan="1" colspan="1">P. M. van Bodegom</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b9">Bakker
<italic>et al.</italic>
(2005</xref>
,
<xref ref-type="bibr" rid="b10">2006)</xref>
,
<xref ref-type="bibr" rid="b221">van Bodegom
<italic>et al.</italic>
(2005</xref>
,
<xref ref-type="bibr" rid="b222">2008)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 24</td>
<td align="left" rowspan="1" colspan="1">Ukraine Wetlands Plant Traits Database</td>
<td align="left" rowspan="1" colspan="1">P. M. van Bodegom</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 25</td>
<td align="left" rowspan="1" colspan="1">Plants Categorical Traits Database</td>
<td align="left" rowspan="1" colspan="1">P. M. van Bodegom</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 26</td>
<td align="left" rowspan="1" colspan="1">South African Woody Plants Trait Database (ZLTP)</td>
<td align="left" rowspan="1" colspan="1">W. J. Bond, M. Waldram</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 27</td>
<td align="left" rowspan="1" colspan="1">Australian Fire Ecology Database*</td>
<td align="left" rowspan="1" colspan="1">R. Bradstock</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 28</td>
<td align="left" rowspan="1" colspan="1">Cedar Creek Plant Physiology Database</td>
<td align="left" rowspan="1" colspan="1">D. E. Bunker, S. Naeem</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 29</td>
<td align="left" rowspan="1" colspan="1">Floridian Leaf Traits Database</td>
<td align="left" rowspan="1" colspan="1">J. Cavender-Bares</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b24">Cavender-Bares et al. (2006)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 30</td>
<td align="left" rowspan="1" colspan="1">Tundra Plant Traits Databases</td>
<td align="left" rowspan="1" colspan="1">F. S. Chapin III</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 31</td>
<td align="left" rowspan="1" colspan="1">Global Woody N&P Database*</td>
<td align="left" rowspan="1" colspan="1">G. Esser, M. Clüsener-Godt</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b31">Clüsener-Godt (1989)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 32</td>
<td align="left" rowspan="1" colspan="1">Abisko & Sheffield Database</td>
<td align="left" rowspan="1" colspan="1">J. H. C. Cornelissen</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b33">Cornelissen (1996)</xref>
,
<xref ref-type="bibr" rid="b36">Cornelissen
<italic>et al.</italic>
(1996</xref>
,
<xref ref-type="bibr" rid="b41">1997</xref>
,
<xref ref-type="bibr" rid="b39">1999</xref>
,
<xref ref-type="bibr" rid="b34">2001</xref>
,
<xref ref-type="bibr" rid="b35">2003a</xref>
,
<xref ref-type="bibr" rid="b40">2004)</xref>
,
<xref ref-type="bibr" rid="b23">Castro-Diez
<italic>et al.</italic>
(1998</xref>
,
<xref ref-type="bibr" rid="b22">2000)</xref>
,
<xref ref-type="bibr" rid="b178">Quested
<italic>et al.</italic>
(2003)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 33</td>
<td align="left" rowspan="1" colspan="1">Jasper Ridge Californian Woody Plants Database</td>
<td align="left" rowspan="1" colspan="1">W. K. Cornwell, D. D. Ackerly</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b45">Cornwell
<italic>et al.</italic>
(2006)</xref>
,
<xref ref-type="bibr" rid="b174">Preston
<italic>et al.</italic>
(2006)</xref>
,
<xref ref-type="bibr" rid="b1">Ackerly & Cornwell (2007)</xref>
,
<xref ref-type="bibr" rid="b42">Cornwell & Ackerly (2009)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 34</td>
<td align="left" rowspan="1" colspan="1">Roots Of the World (ROW) Database</td>
<td align="left" rowspan="1" colspan="1">J. M. Craine</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b47">Craine
<italic>et al.</italic>
(2005)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 35</td>
<td align="left" rowspan="1" colspan="1">Global 15N Database</td>
<td align="left" rowspan="1" colspan="1">J. M. Craine</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b46">Craine
<italic>et al.</italic>
(2009)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 36</td>
<td align="left" rowspan="1" colspan="1">CORDOBASE</td>
<td align="left" rowspan="1" colspan="1">S. Díaz</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b49">Díaz
<italic>et al.</italic>
(2004)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 37</td>
<td align="left" rowspan="1" colspan="1">Sheffield-Iran-Spain Database*</td>
<td align="left" rowspan="1" colspan="1">S. Díaz</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b49">Díaz
<italic>et al.</italic>
(2004)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 38</td>
<td align="left" rowspan="1" colspan="1">Chinese Leaf Traits Database</td>
<td align="left" rowspan="1" colspan="1">J. Fang</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b80">Han
<italic>et al.</italic>
(2005)</xref>
,
<xref ref-type="bibr" rid="b83">He
<italic>et al.</italic>
(2006</xref>
,
<xref ref-type="bibr" rid="b82">2008)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 39</td>
<td align="left" rowspan="1" colspan="1">Costa Rica Rainforest Trees Database</td>
<td align="left" rowspan="1" colspan="1">B. Finegan, B. Salgado</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 40</td>
<td align="left" rowspan="1" colspan="1">Plant Categorical Traits Database</td>
<td align="left" rowspan="1" colspan="1">O. Flores</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 41</td>
<td align="left" rowspan="1" colspan="1">Subarctic Plant Species Trait Database</td>
<td align="left" rowspan="1" colspan="1">G. T. Freschet, J. H. C. Cornelissen</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b60">Freschet
<italic>et al.</italic>
(2010a</xref>
,
<xref ref-type="bibr" rid="b61">b)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 42</td>
<td align="left" rowspan="1" colspan="1">Climbing Plants Trait Database</td>
<td align="left" rowspan="1" colspan="1">R. V. Gallagher</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b65">Gallagher
<italic>et al.</italic>
(2011)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 43</td>
<td align="left" rowspan="1" colspan="1">The VISTA Plant Trait Database</td>
<td align="left" rowspan="1" colspan="1">E. Garnier, S. Lavorel</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b68">Garnier
<italic>et al.</italic>
(2007)</xref>
,
<xref ref-type="bibr" rid="b155">Pakeman
<italic>et al.</italic>
(2008</xref>
,
<xref ref-type="bibr" rid="b156">2009)</xref>
,
<xref ref-type="bibr" rid="b59">Fortunel
<italic>et al.</italic>
(2009)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 44</td>
<td align="left" rowspan="1" colspan="1">VirtualForests Trait Database</td>
<td align="left" rowspan="1" colspan="1">A. G. Gutiérrez</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b79">Gutiérrez (2010)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 45</td>
<td align="left" rowspan="1" colspan="1">Dispersal Traits Database</td>
<td align="left" rowspan="1" colspan="1">S. Higgins</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 46</td>
<td align="left" rowspan="1" colspan="1">Herbaceous Traits from the Öland Island Database</td>
<td align="left" rowspan="1" colspan="1">T. Hickler</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b84">Hickler (1999)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 47</td>
<td align="left" rowspan="1" colspan="1">Global Wood Anatomy Database</td>
<td align="left" rowspan="1" colspan="1">S. Jansen, F. Lens</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 48</td>
<td align="left" rowspan="1" colspan="1">Gobal Leaf Element Composition Database</td>
<td align="left" rowspan="1" colspan="1">S. Jansen</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b228">Watanabe
<italic>et al.</italic>
(2007)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 49</td>
<td align="left" rowspan="1" colspan="1">Leaf Physiology Database*</td>
<td align="left" rowspan="1" colspan="1">J. Kattge, C. Wirth</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b90">Kattge
<italic>et al.</italic>
(2009)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 50</td>
<td align="left" rowspan="1" colspan="1">KEW African Plant Traits Database</td>
<td align="left" rowspan="1" colspan="1">D. Kirkup</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b96">Kirkup
<italic>et al.</italic>
(2005)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 51</td>
<td align="left" rowspan="1" colspan="1">Photosynthesis Traits Database</td>
<td align="left" rowspan="1" colspan="1">K. Kramer</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 52</td>
<td align="left" rowspan="1" colspan="1">Traits of Bornean Trees Database</td>
<td align="left" rowspan="1" colspan="1">H. Kurokawa</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b105">Kurokawa & Nakashizuka (2008)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 53</td>
<td align="left" rowspan="1" colspan="1">Ponderosa Pine Forest Database</td>
<td align="left" rowspan="1" colspan="1">D. Laughlin</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b108">Laughlin
<italic>et al.</italic>
(2010)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 54</td>
<td align="left" rowspan="1" colspan="1">New South Wales Plant Traits Database</td>
<td align="left" rowspan="1" colspan="1">M. Leishman</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 55</td>
<td align="left" rowspan="1" colspan="1">The RAINFOR Plant Trait Database</td>
<td align="left" rowspan="1" colspan="1">J. Lloyd, N. M. Fyllas</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b8">Baker
<italic>et al.</italic>
(2009)</xref>
,
<xref ref-type="bibr" rid="b64">Fyllas
<italic>et al.</italic>
(2009)</xref>
,
<xref ref-type="bibr" rid="b157">Patiño
<italic>et al.</italic>
(2009)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 56</td>
<td align="left" rowspan="1" colspan="1">French Grassland Trait Database</td>
<td align="left" rowspan="1" colspan="1">F. Louault, J. -F. Soussana</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b113">Louault
<italic>et al</italic>
(2005)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 57</td>
<td align="left" rowspan="1" colspan="1">The DIRECT Plant Trait Database</td>
<td align="left" rowspan="1" colspan="1">P. Manning</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 58</td>
<td align="left" rowspan="1" colspan="1">Leaf Chemical Defense Database</td>
<td align="left" rowspan="1" colspan="1">T. Massad</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 59</td>
<td align="left" rowspan="1" colspan="1">Panama Leaf Traits Database</td>
<td align="left" rowspan="1" colspan="1">J. Messier</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b128">Messier
<italic>et al.</italic>
(2010)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 60</td>
<td align="left" rowspan="1" colspan="1">Global Seed Mass Database*</td>
<td align="left" rowspan="1" colspan="1">A. T. Moles</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b136">Moles
<italic>et al.</italic>
(2004</xref>
,
<xref ref-type="bibr" rid="b134">2005a</xref>
,
<xref ref-type="bibr" rid="b135">b)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 61</td>
<td align="left" rowspan="1" colspan="1">Global Plant Height Database*</td>
<td align="left" rowspan="1" colspan="1">A. T. Moles</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b136">Moles
<italic>et al.</italic>
(2004)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 62</td>
<td align="left" rowspan="1" colspan="1">Global Leaf Robustness and Physiology Database</td>
<td align="left" rowspan="1" colspan="1">Ü. Niinemets</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b140">Niinemets (1999</xref>
,
<xref ref-type="bibr" rid="b141">2001)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 63</td>
<td align="left" rowspan="1" colspan="1">The Netherlands Plant Traits Database</td>
<td align="left" rowspan="1" colspan="1">J. Ordoñez, P. M. van Bodegom</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b150">Ordonez
<italic>et al.</italic>
(2010a</xref>
,
<xref ref-type="bibr" rid="b151">b)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 64</td>
<td align="left" rowspan="1" colspan="1">The Netherlands Plant Height Database</td>
<td align="left" rowspan="1" colspan="1">W. A. Ozinga</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 65</td>
<td align="left" rowspan="1" colspan="1">Hawaiian Leaf Traits Database</td>
<td align="left" rowspan="1" colspan="1">J. Peñuelas, Ü. Niinemets</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b166">Peñuelas
<italic>et al.</italic>
(2010a</xref>
,
<xref ref-type="bibr" rid="b165">b)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 66</td>
<td align="left" rowspan="1" colspan="1">Catalonian Mediterranean Forest Trait Database</td>
<td align="left" rowspan="1" colspan="1">J. Peñuelas, R. Ogaya</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b143">Ogaya & Peñuelas (2003</xref>
,
<xref ref-type="bibr" rid="b144">2006</xref>
,
<xref ref-type="bibr" rid="b145">2007</xref>
,
<xref ref-type="bibr" rid="b146">2008)</xref>
,
<xref ref-type="bibr" rid="b196">Sardans
<italic>et al.</italic>
(2008a</xref>
,
<xref ref-type="bibr" rid="b197">b)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 67</td>
<td align="left" rowspan="1" colspan="1">Catalonian Mediterranean Shrubland Trait Database</td>
<td align="left" rowspan="1" colspan="1">J. Penuelas, M. Estiarte</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b164">Peñuelas
<italic>et al.</italic>
(2007)</xref>
,
<xref ref-type="bibr" rid="b175">Prieto
<italic>et al.</italic>
(2009)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 68</td>
<td align="left" rowspan="1" colspan="1">ECOQUA South American Plant Traits Database</td>
<td align="left" rowspan="1" colspan="1">V. Pillar, S. Müller</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b168">Pillar & Sosinski (2003)</xref>
,
<xref ref-type="bibr" rid="b152">Overbeck (2005)</xref>
,
<xref ref-type="bibr" rid="b16">Blanco
<italic>et al.</italic>
(2007)</xref>
,
<xref ref-type="bibr" rid="b51">Duarte
<italic>et al.</italic>
(2007)</xref>
,
<xref ref-type="bibr" rid="b138">Müller
<italic>et al.</italic>
(2007)</xref>
,
<xref ref-type="bibr" rid="b153">Overbeck & Pfadenhauer (2007)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 69</td>
<td align="left" rowspan="1" colspan="1">The Tansley Review LMA Database*</td>
<td align="left" rowspan="1" colspan="1">H. Poorter</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b170">Poorter
<italic>et al.</italic>
(2009)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 70</td>
<td align="left" rowspan="1" colspan="1">Categorical Plant Traits Database</td>
<td align="left" rowspan="1" colspan="1">H. Poorter</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 71</td>
<td align="left" rowspan="1" colspan="1">Tropical Rainforest Traits Database</td>
<td align="left" rowspan="1" colspan="1">L. Poorter</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b172">Poorter & Bongers (2006)</xref>
,
<xref ref-type="bibr" rid="b171">Poorter (2009)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 72</td>
<td align="left" rowspan="1" colspan="1">Frost Hardiness Database*</td>
<td align="left" rowspan="1" colspan="1">A. Rammig</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 73</td>
<td align="left" rowspan="1" colspan="1">Reich-Oleksyn Global Leaf N, P Database</td>
<td align="left" rowspan="1" colspan="1">P. B. Reich, J. Oleksyn</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b182">Reich
<italic>et al.</italic>
(2009)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 74</td>
<td align="left" rowspan="1" colspan="1">Global A, N, P, SLA Database</td>
<td align="left" rowspan="1" colspan="1">P. B. Reich</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b182">Reich
<italic>et al.</italic>
(2009)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 75</td>
<td align="left" rowspan="1" colspan="1">Cedar Creek Savanna SLA, C, N Database</td>
<td align="left" rowspan="1" colspan="1">P. B. Reich</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b238">Willis
<italic>et al.</italic>
(2010)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 76</td>
<td align="left" rowspan="1" colspan="1">Global Respiration Database</td>
<td align="left" rowspan="1" colspan="1">P. B. Reich</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b183">Reich
<italic>et al.</italic>
(2008)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 77</td>
<td align="left" rowspan="1" colspan="1">Leaf and Whole-Plant Traits Database: Hydraulic and Gas Exchange Physiology, Anatomy, Venation Structure, Nutrient Composition, Growth and Biomass Allocation</td>
<td align="left" rowspan="1" colspan="1">L. Sack</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b192">Sack
<italic>et al.</italic>
(2003</xref>
,
<xref ref-type="bibr" rid="b195">2005</xref>
,
<xref ref-type="bibr" rid="b194">2006)</xref>
,
<xref ref-type="bibr" rid="b190">Sack (2004)</xref>
,
<xref ref-type="bibr" rid="b139">Nakahashi
<italic>et al.</italic>
(2005)</xref>
,
<xref ref-type="bibr" rid="b193">Sack & Frole (2006)</xref>
,
<xref ref-type="bibr" rid="b25">Cavender-Bares
<italic>et al.</italic>
(2007)</xref>
,
<xref ref-type="bibr" rid="b30">Choat
<italic>et al.</italic>
(2007)</xref>
,
<xref ref-type="bibr" rid="b43">Cornwell
<italic>et al.</italic>
(2007)</xref>
,
<xref ref-type="bibr" rid="b119">Martin
<italic>et al.</italic>
(2007)</xref>
,
<xref ref-type="bibr" rid="b32">Coomes
<italic>et al.</italic>
(2008)</xref>
,
<xref ref-type="bibr" rid="b85">Hoof
<italic>et al.</italic>
(2008)</xref>
,
<xref ref-type="bibr" rid="b177">Quero
<italic>et al.</italic>
(2008)</xref>
,
<xref ref-type="bibr" rid="b202">Scoffoni
<italic>et al.</italic>
(2008)</xref>
,
<xref ref-type="bibr" rid="b52">Dunbar-Co
<italic>et al.</italic>
(2009)</xref>
,
<xref ref-type="bibr" rid="b81">Hao
<italic>et al.</italic>
(2010)</xref>
,
<xref ref-type="bibr" rid="b227">Waite & Sack (2010)</xref>
,
<xref ref-type="bibr" rid="b118">Markesteijn
<italic>et al.</italic>
(2011)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 78</td>
<td align="left" rowspan="1" colspan="1">Tropical Traits from West Java Database</td>
<td align="left" rowspan="1" colspan="1">S. Shiodera</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b205">Shiodera
<italic>et al.</italic>
(2008)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 79</td>
<td align="left" rowspan="1" colspan="1">Leaf And Whole Plant Traits Database</td>
<td align="left" rowspan="1" colspan="1">B. Shipley</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b206">Shipley (1989</xref>
,
<xref ref-type="bibr" rid="b207">1995)</xref>
,
<xref ref-type="bibr" rid="b210">Shipley and Meziane (2002)</xref>
,
<xref ref-type="bibr" rid="b211">Shipley & Parent (1991)</xref>
,
<xref ref-type="bibr" rid="b122">McKenna & Shipley (1999)</xref>
,
<xref ref-type="bibr" rid="b130">Meziane & Shipley (1999a</xref>
,
<xref ref-type="bibr" rid="b131">b</xref>
,
<xref ref-type="bibr" rid="b132">2001)</xref>
,
<xref ref-type="bibr" rid="b176">Pyankov
<italic>et al.</italic>
(1999)</xref>
,
<xref ref-type="bibr" rid="b209">Shipley & Lechowicz (2000)</xref>
,
<xref ref-type="bibr" rid="b213">Shipley & Vu (2002)</xref>
,
<xref ref-type="bibr" rid="b223">Vile (2005)</xref>
,
<xref ref-type="bibr" rid="b92">Kazakou
<italic>et al.</italic>
(2006)</xref>
,
<xref ref-type="bibr" rid="b224">Vile
<italic>et al.</italic>
(2006)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 80</td>
<td align="left" rowspan="1" colspan="1">Herbaceous Leaf Traits Database Old Field New York</td>
<td align="left" rowspan="1" colspan="1">A. Siefert</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 81</td>
<td align="left" rowspan="1" colspan="1">FAPESP Brazil Rain Forest Database</td>
<td align="left" rowspan="1" colspan="1">E. Sosinski, C. Joly</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 82</td>
<td align="left" rowspan="1" colspan="1">Causasus Plant Traits Database</td>
<td align="left" rowspan="1" colspan="1">N. A. Soudzilovskaia, V. G. Onipchenko, J. H. C. Cornelissen</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 83</td>
<td align="left" rowspan="1" colspan="1">Tropical Plant Traits From Borneo Database</td>
<td align="left" rowspan="1" colspan="1">E. Swaine</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b217">Swaine (2007)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 84</td>
<td align="left" rowspan="1" colspan="1">Plant Habit Database*</td>
<td align="left" rowspan="1" colspan="1">C. Violle, B. H. Dobrin, B. J. Enquist</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 85</td>
<td align="left" rowspan="1" colspan="1">Midwestern and Southern US Herbaceous Species Trait Database</td>
<td align="left" rowspan="1" colspan="1">E. Weiher</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 86</td>
<td align="left" rowspan="1" colspan="1">The Functional Ecology of Trees (FET) Database – Jena*</td>
<td align="left" rowspan="1" colspan="1">C. Wirth, J. Kattge</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b241">Wirth & Lichstein (2009)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 87</td>
<td align="left" rowspan="1" colspan="1">Fonseca/Wright New South Wales Database</td>
<td align="left" rowspan="1" colspan="1">I. J. Wright</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b58">Fonseca
<italic>et al.</italic>
(2000)</xref>
,
<xref ref-type="bibr" rid="b120">McDonald
<italic>et al.</italic>
(2003)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 88</td>
<td align="left" rowspan="1" colspan="1">Neotropic Plant Traits Database</td>
<td align="left" rowspan="1" colspan="1">I. J. Wright</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b244">Wright
<italic>et al.</italic>
(2007)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 89</td>
<td align="left" rowspan="1" colspan="1">Overton/Wright New Zealand Database</td>
<td align="left" rowspan="1" colspan="1">I. J. Wright</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 90</td>
<td align="left" rowspan="1" colspan="1">Categorical Plant Traits Database</td>
<td align="left" rowspan="1" colspan="1">I. J. Wright</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 91</td>
<td align="left" rowspan="1" colspan="1">Panama Plant Traits Database</td>
<td align="left" rowspan="1" colspan="1">S. J. Wright</td>
<td align="left" rowspan="1" colspan="1">
<xref ref-type="bibr" rid="b248">Wright
<italic>et al.</italic>
(2010)</xref>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 92</td>
<td align="left" rowspan="1" colspan="1">Quercus Leaf C&N Database</td>
<td align="left" rowspan="1" colspan="1">B. Yguel</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> 93</td>
<td align="left" rowspan="1" colspan="1">Global Vessel Anatomy Database*</td>
<td align="left" rowspan="1" colspan="1">A. E. Zanne, D. Coomes</td>
<td align="left" rowspan="1" colspan="1">Unpublished data</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Databases are separated whether they are at a final stage or still continuously developed, and whether they are or are not publicly available as an electronic resource in the Internet. Databases that are already integrated databases, pooling a range of original databases (e.g. LEDA, GLOPNET) are highlighted by asterisks (*). Contributions are sorted alphabetically by principal contact person. A database can consist of several datasets (268 individual files have currently been imported to the TRY database). Most of the nonpublic databases contain unpublished besides published data.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>For several traits the data coverage in the TRY database is sufficient to quantify the relative amount of intra- and interspecific variation, as well as variation within and between different functional groups. Thus, the dataset allows to examine two basic tenets of comparative ecology and vegetation modelling, which, due to lack of data, had not been quantified so far:</p>
<list list-type="order">
<list-item>
<p>On the global scale, the aggregation of plant trait data at the species level captures the majority of trait variation. This central assumption of plant comparative ecology implies that, while there is variation within species, this variation is smaller than the differences between species (
<xref ref-type="bibr" rid="b67">Garnier
<italic>et al.</italic>
, 2001</xref>
;
<xref ref-type="bibr" rid="b93">Keddy
<italic>et al.</italic>
, 2002</xref>
;
<xref ref-type="bibr" rid="b232">Westoby
<italic>et al.</italic>
, 2002</xref>
;
<xref ref-type="bibr" rid="b208">Shipley, 2007</xref>
). This is the basic assumption for using average trait values of species to calculate indices of functional diversity (
<xref ref-type="bibr" rid="b167">Petchey & Gaston, 2006</xref>
;
<xref ref-type="bibr" rid="b48">de Bello
<italic>et al.</italic>
, 2010</xref>
;
<xref ref-type="bibr" rid="b199">Schleuter
<italic>et al.</italic>
, 2010</xref>
), to identify ecologically important dimensions of trait variation (
<xref ref-type="bibr" rid="b231">Westoby, 1998</xref>
) or to determine the spatial variation of plant traits (
<xref ref-type="bibr" rid="b218">Swenson & Enquist, 2007</xref>
;
<xref ref-type="bibr" rid="b219">Swenson & Weiser, 2010</xref>
).</p>
</list-item>
<list-item>
<p>On the global scale, basic plant functional classifications capture a sufficiently important fraction of trait variation to represent functional diversity. This assumption is implicit in today's dynamic global vegetation models (DGVMs), used to assess the response of ecosystem processes and composition to CO
<sub>2</sub>
and climate changes. Owing to computational constraints and lack of detailed information these models have been developed to represent the functional diversity of >300 000 documented plant species on Earth with a small number (5–20) of basic plant functional types (PFTs, e.g.
<xref ref-type="bibr" rid="b243">Woodward & Cramer, 1996</xref>
;
<xref ref-type="bibr" rid="b214">Sitch
<italic>et al.</italic>
, 2003</xref>
). This approach has been successful so far, but limits are becoming obvious and challenge the use of such models in a prognostic mode, e.g. in the context of Earth system models (
<xref ref-type="bibr" rid="b109">Lavorel
<italic>et al.</italic>
, 2008</xref>
;
<xref ref-type="bibr" rid="b123">McMahon
<italic>et al.</italic>
, 2011</xref>
).</p>
</list-item>
</list>
<p>This article first introduces the TRY initiative and presents a summary of data coverage with respect to different traits and regions. For a range of traits, we characterize general statistical properties of the trait density distributions, a prerequisite for statistical analyses, and provide mean values and ranges of variation. For 10 traits that are central to leading dimensions of plant strategy, we then quantify trait variation with respect to species and PFT and thus examine the two tenets mentioned above. Finally, we demonstrate how trait variation within PFT is currently represented in the context of global vegetation models.</p>
</sec>
<sec sec-type="materials|methods">
<title>Material and methods</title>
<sec>
<title>Types of data compiled</title>
<p>The TRY data compilation focuses on 52 groups of traits characterizing the vegetative and regeneration stages of plant life cycle, including growth, reproduction, dispersal, establishment and persistence (
<xref ref-type="table" rid="tbl2">Table 2</xref>
). These groups of traits were collectively agreed to be the most relevant for plant life-history strategies, vegetation modelling and global change responses on the basis of existing shortlists (
<xref ref-type="bibr" rid="b78">Grime
<italic>et al.</italic>
, 1997</xref>
;
<xref ref-type="bibr" rid="b229">Weiher
<italic>et al.</italic>
, 1999</xref>
;
<xref ref-type="bibr" rid="b110">Lavorel & Garnier, 2002</xref>
;
<xref ref-type="bibr" rid="b38">Cornelissen
<italic>et al.</italic>
, 2003b; Díaz
<italic>et al.</italic>
, 2004</xref>
;
<xref ref-type="bibr" rid="b98">Kleyer
<italic>et al.</italic>
, 2008</xref>
) and wide consultation with vegetation modellers and plant ecologists. They include plant traits
<italic>sensu stricto</italic>
, but also ‘performances’ (
<italic>sensu</italic>
<xref ref-type="bibr" rid="b226">Violle
<italic>et al.</italic>
, 2007</xref>
), such as drought tolerance or phenology.</p>
<table-wrap id="tbl2" position="float">
<label>Table 2</label>
<caption>
<p>Summary of data coverage in the TRY data repository (March 31, 2011) for the 52 groups of focus traits and one group lumping all other traits (53)</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" colspan="2" rowspan="1">Group of traits</th>
<th align="left" rowspan="1" colspan="1">Traits per group</th>
<th align="left" rowspan="1" colspan="1">Datasets</th>
<th align="left" rowspan="1" colspan="1">Species</th>
<th align="left" rowspan="1" colspan="1">Entries</th>
<th align="left" rowspan="1" colspan="1">Geo-referenced</th>
<th align="left" rowspan="1" colspan="1">Location</th>
<th align="left" rowspan="1" colspan="1">Soil</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>1</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>Plant growth form</bold>
<xref ref-type="table-fn" rid="tf2-1">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>7</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>62</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>39 715</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>130 527</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>45 683</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>48 355</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>19 630</bold>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">Plant life form
<xref ref-type="table-fn" rid="tf2-1">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">1</td>
<td align="left" rowspan="1" colspan="1">9</td>
<td align="left" rowspan="1" colspan="1">7870</td>
<td align="left" rowspan="1" colspan="1">64 949</td>
<td align="left" rowspan="1" colspan="1">55 476</td>
<td align="left" rowspan="1" colspan="1">58 575</td>
<td align="left" rowspan="1" colspan="1">53 008</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">Plant resprouting capacity
<xref ref-type="table-fn" rid="tf2-1">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">4</td>
<td align="left" rowspan="1" colspan="1">7</td>
<td align="left" rowspan="1" colspan="1">3248</td>
<td align="left" rowspan="1" colspan="1">5219</td>
<td align="left" rowspan="1" colspan="1">410</td>
<td align="left" rowspan="1" colspan="1">319</td>
<td align="left" rowspan="1" colspan="1">2462</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">4</td>
<td align="left" rowspan="1" colspan="1">Plant height</td>
<td align="left" rowspan="1" colspan="1">15</td>
<td align="left" rowspan="1" colspan="1">63</td>
<td align="left" rowspan="1" colspan="1">18 071</td>
<td align="left" rowspan="1" colspan="1">105 422</td>
<td align="left" rowspan="1" colspan="1">43 351</td>
<td align="left" rowspan="1" colspan="1">50 154</td>
<td align="left" rowspan="1" colspan="1">34 325</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="left" rowspan="1" colspan="1">Plant longevity</td>
<td align="left" rowspan="1" colspan="1">4</td>
<td align="left" rowspan="1" colspan="1">23</td>
<td align="left" rowspan="1" colspan="1">8198</td>
<td align="left" rowspan="1" colspan="1">18 844</td>
<td align="left" rowspan="1" colspan="1">3709</td>
<td align="left" rowspan="1" colspan="1">2336</td>
<td align="left" rowspan="1" colspan="1">5109</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">Plant age of reproductive maturity</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">1506</td>
<td align="left" rowspan="1" colspan="1">2024</td>
<td align="left" rowspan="1" colspan="1">0</td>
<td align="left" rowspan="1" colspan="1">24</td>
<td align="left" rowspan="1" colspan="1">0</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">7</td>
<td align="left" rowspan="1" colspan="1">Plant architectural relationships</td>
<td align="left" rowspan="1" colspan="1">72</td>
<td align="left" rowspan="1" colspan="1">43</td>
<td align="left" rowspan="1" colspan="1">10 227</td>
<td align="left" rowspan="1" colspan="1">356 188</td>
<td align="left" rowspan="1" colspan="1">340 540</td>
<td align="left" rowspan="1" colspan="1">340 390</td>
<td align="left" rowspan="1" colspan="1">332 608</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">8</td>
<td align="left" rowspan="1" colspan="1">Plant crown size</td>
<td align="left" rowspan="1" colspan="1">4</td>
<td align="left" rowspan="1" colspan="1">8</td>
<td align="left" rowspan="1" colspan="1">276</td>
<td align="left" rowspan="1" colspan="1">4180</td>
<td align="left" rowspan="1" colspan="1">1450</td>
<td align="left" rowspan="1" colspan="1">846</td>
<td align="left" rowspan="1" colspan="1">33</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">9</td>
<td align="left" rowspan="1" colspan="1">Plant surface roughness</td>
<td align="left" rowspan="1" colspan="1">1</td>
<td align="left" rowspan="1" colspan="1">1</td>
<td align="left" rowspan="1" colspan="1">31</td>
<td align="left" rowspan="1" colspan="1">31</td>
<td align="left" rowspan="1" colspan="1">0</td>
<td align="left" rowspan="1" colspan="1">0</td>
<td align="left" rowspan="1" colspan="1">0</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">10</td>
<td align="left" rowspan="1" colspan="1">Plant tolerance to stress</td>
<td align="left" rowspan="1" colspan="1">40</td>
<td align="left" rowspan="1" colspan="1">14</td>
<td align="left" rowspan="1" colspan="1">8275</td>
<td align="left" rowspan="1" colspan="1">62 362</td>
<td align="left" rowspan="1" colspan="1">877</td>
<td align="left" rowspan="1" colspan="1">1286</td>
<td align="left" rowspan="1" colspan="1">33 799</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">11</td>
<td align="left" rowspan="1" colspan="1">Plant phenology</td>
<td align="left" rowspan="1" colspan="1">10</td>
<td align="left" rowspan="1" colspan="1">16</td>
<td align="left" rowspan="1" colspan="1">7630</td>
<td align="left" rowspan="1" colspan="1">26 765</td>
<td align="left" rowspan="1" colspan="1">2900</td>
<td align="left" rowspan="1" colspan="1">8816</td>
<td align="left" rowspan="1" colspan="1">6868</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>12</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>Leaf type</bold>
<xref ref-type="table-fn" rid="tf2-1">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>1</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>15</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>33 519</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>49 668</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>6261</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>4490</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>2511</bold>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">13</td>
<td align="left" rowspan="1" colspan="1">Leaf compoundness
<xref ref-type="table-fn" rid="tf2-1">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">1</td>
<td align="left" rowspan="1" colspan="1">15</td>
<td align="left" rowspan="1" colspan="1">34 523</td>
<td align="left" rowspan="1" colspan="1">50 502</td>
<td align="left" rowspan="1" colspan="1">13 495</td>
<td align="left" rowspan="1" colspan="1">13 558</td>
<td align="left" rowspan="1" colspan="1">230</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>14</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>Leaf photosynthetic pathway</bold>
<xref ref-type="table-fn" rid="tf2-1">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>1</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>29</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>31 641</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>40 807</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>6305</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>4442</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>5495</bold>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>15</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>Leaf phenology type</bold>
<xref ref-type="table-fn" rid="tf2-1">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>1</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>35</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>15 512</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>65 536</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>36 579</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>37 888</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>24 900</bold>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">16</td>
<td align="left" rowspan="1" colspan="1">Leaf size</td>
<td align="left" rowspan="1" colspan="1">17</td>
<td align="left" rowspan="1" colspan="1">67</td>
<td align="left" rowspan="1" colspan="1">16 877</td>
<td align="left" rowspan="1" colspan="1">205 165</td>
<td align="left" rowspan="1" colspan="1">158 066</td>
<td align="left" rowspan="1" colspan="1">138 105</td>
<td align="left" rowspan="1" colspan="1">74 424</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">17</td>
<td align="left" rowspan="1" colspan="1">Leaf longevity</td>
<td align="left" rowspan="1" colspan="1">4</td>
<td align="left" rowspan="1" colspan="1">18</td>
<td align="left" rowspan="1" colspan="1">1080</td>
<td align="left" rowspan="1" colspan="1">1953</td>
<td align="left" rowspan="1" colspan="1">1705</td>
<td align="left" rowspan="1" colspan="1">1515</td>
<td align="left" rowspan="1" colspan="1">551</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">18</td>
<td align="left" rowspan="1" colspan="1">Leaf angle</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">4693</td>
<td align="left" rowspan="1" colspan="1">41 882</td>
<td align="left" rowspan="1" colspan="1">41 848</td>
<td align="left" rowspan="1" colspan="1">41 805</td>
<td align="left" rowspan="1" colspan="1">39 820</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">19</td>
<td align="left" rowspan="1" colspan="1">Leaf number per unit shoot length</td>
<td align="left" rowspan="1" colspan="1">1</td>
<td align="left" rowspan="1" colspan="1">4</td>
<td align="left" rowspan="1" colspan="1">4135</td>
<td align="left" rowspan="1" colspan="1">10 751</td>
<td align="left" rowspan="1" colspan="1">1340</td>
<td align="left" rowspan="1" colspan="1">2007</td>
<td align="left" rowspan="1" colspan="1">1265</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">20</td>
<td align="left" rowspan="1" colspan="1">Leaf anatomy</td>
<td align="left" rowspan="1" colspan="1">41</td>
<td align="left" rowspan="1" colspan="1">10</td>
<td align="left" rowspan="1" colspan="1">1076</td>
<td align="left" rowspan="1" colspan="1">26 649</td>
<td align="left" rowspan="1" colspan="1">24 014</td>
<td align="left" rowspan="1" colspan="1">23 950</td>
<td align="left" rowspan="1" colspan="1">0</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">21</td>
<td align="left" rowspan="1" colspan="1">Leaf cell size</td>
<td align="left" rowspan="1" colspan="1">14</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">310</td>
<td align="left" rowspan="1" colspan="1">1196</td>
<td align="left" rowspan="1" colspan="1">339</td>
<td align="left" rowspan="1" colspan="1">462</td>
<td align="left" rowspan="1" colspan="1">0</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">22</td>
<td align="left" rowspan="1" colspan="1">Leaf mechanical resistance</td>
<td align="left" rowspan="1" colspan="1">7</td>
<td align="left" rowspan="1" colspan="1">17</td>
<td align="left" rowspan="1" colspan="1">4206</td>
<td align="left" rowspan="1" colspan="1">11 645</td>
<td align="left" rowspan="1" colspan="1">5608</td>
<td align="left" rowspan="1" colspan="1">6295</td>
<td align="left" rowspan="1" colspan="1">227</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">23</td>
<td align="left" rowspan="1" colspan="1">Leaf absorbance</td>
<td align="left" rowspan="1" colspan="1">1</td>
<td align="left" rowspan="1" colspan="1">4</td>
<td align="left" rowspan="1" colspan="1">137</td>
<td align="left" rowspan="1" colspan="1">363</td>
<td align="left" rowspan="1" colspan="1">0</td>
<td align="left" rowspan="1" colspan="1">0</td>
<td align="left" rowspan="1" colspan="1">61</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">24</td>
<td align="left" rowspan="1" colspan="1">Specific leaf area (SLA)</td>
<td align="left" rowspan="1" colspan="1">13</td>
<td align="left" rowspan="1" colspan="1">89</td>
<td align="left" rowspan="1" colspan="1">8751</td>
<td align="left" rowspan="1" colspan="1">87 064</td>
<td align="left" rowspan="1" colspan="1">63 730</td>
<td align="left" rowspan="1" colspan="1">53 830</td>
<td align="left" rowspan="1" colspan="1">18 149</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">25</td>
<td align="left" rowspan="1" colspan="1">Leaf dry matter content</td>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="left" rowspan="1" colspan="1">35</td>
<td align="left" rowspan="1" colspan="1">3098</td>
<td align="left" rowspan="1" colspan="1">33 777</td>
<td align="left" rowspan="1" colspan="1">26 125</td>
<td align="left" rowspan="1" colspan="1">19 767</td>
<td align="left" rowspan="1" colspan="1">6919</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">26</td>
<td align="left" rowspan="1" colspan="1">Leaf carbon content</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">32</td>
<td align="left" rowspan="1" colspan="1">3028</td>
<td align="left" rowspan="1" colspan="1">18 887</td>
<td align="left" rowspan="1" colspan="1">15 295</td>
<td align="left" rowspan="1" colspan="1">11 938</td>
<td align="left" rowspan="1" colspan="1">7857</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">27</td>
<td align="left" rowspan="1" colspan="1">Leaf nitrogen content</td>
<td align="left" rowspan="1" colspan="1">4</td>
<td align="left" rowspan="1" colspan="1">62</td>
<td align="left" rowspan="1" colspan="1">7122</td>
<td align="left" rowspan="1" colspan="1">58 064</td>
<td align="left" rowspan="1" colspan="1">43 417</td>
<td align="left" rowspan="1" colspan="1">41 844</td>
<td align="left" rowspan="1" colspan="1">25 857</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">28</td>
<td align="left" rowspan="1" colspan="1">Leaf phosphorus content</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">35</td>
<td align="left" rowspan="1" colspan="1">4870</td>
<td align="left" rowspan="1" colspan="1">26 065</td>
<td align="left" rowspan="1" colspan="1">19 022</td>
<td align="left" rowspan="1" colspan="1">21 095</td>
<td align="left" rowspan="1" colspan="1">7390</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">29</td>
<td align="left" rowspan="1" colspan="1">Tissue carbon content (other plant organs)</td>
<td align="left" rowspan="1" colspan="1">19</td>
<td align="left" rowspan="1" colspan="1">18</td>
<td align="left" rowspan="1" colspan="1">659</td>
<td align="left" rowspan="1" colspan="1">4273</td>
<td align="left" rowspan="1" colspan="1">2726</td>
<td align="left" rowspan="1" colspan="1">2040</td>
<td align="left" rowspan="1" colspan="1">1093</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">30</td>
<td align="left" rowspan="1" colspan="1">Tissue nitrogen content (other plant organs)</td>
<td align="left" rowspan="1" colspan="1">55</td>
<td align="left" rowspan="1" colspan="1">40</td>
<td align="left" rowspan="1" colspan="1">4848</td>
<td align="left" rowspan="1" colspan="1">32 438</td>
<td align="left" rowspan="1" colspan="1">24 598</td>
<td align="left" rowspan="1" colspan="1">22 317</td>
<td align="left" rowspan="1" colspan="1">21 904</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">31</td>
<td align="left" rowspan="1" colspan="1">Tissue phosphorus content (other plant organs)</td>
<td align="left" rowspan="1" colspan="1">16</td>
<td align="left" rowspan="1" colspan="1">18</td>
<td align="left" rowspan="1" colspan="1">3763</td>
<td align="left" rowspan="1" colspan="1">17 058</td>
<td align="left" rowspan="1" colspan="1">10 115</td>
<td align="left" rowspan="1" colspan="1">12 519</td>
<td align="left" rowspan="1" colspan="1">2445</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">32</td>
<td align="left" rowspan="1" colspan="1">Tissue chemical composition (apart from C,N,P)</td>
<td align="left" rowspan="1" colspan="1">136</td>
<td align="left" rowspan="1" colspan="1">28</td>
<td align="left" rowspan="1" colspan="1">5031</td>
<td align="left" rowspan="1" colspan="1">84 743</td>
<td align="left" rowspan="1" colspan="1">26 272</td>
<td align="left" rowspan="1" colspan="1">74 076</td>
<td align="left" rowspan="1" colspan="1">25 152</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">33</td>
<td align="left" rowspan="1" colspan="1">Photosynthesis</td>
<td align="left" rowspan="1" colspan="1">49</td>
<td align="left" rowspan="1" colspan="1">34</td>
<td align="left" rowspan="1" colspan="1">2049</td>
<td align="left" rowspan="1" colspan="1">19 793</td>
<td align="left" rowspan="1" colspan="1">9446</td>
<td align="left" rowspan="1" colspan="1">9980</td>
<td align="left" rowspan="1" colspan="1">11 127</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">34</td>
<td align="left" rowspan="1" colspan="1">Stomatal conductance</td>
<td align="left" rowspan="1" colspan="1">76</td>
<td align="left" rowspan="1" colspan="1">23</td>
<td align="left" rowspan="1" colspan="1">918</td>
<td align="left" rowspan="1" colspan="1">11 811</td>
<td align="left" rowspan="1" colspan="1">4386</td>
<td align="left" rowspan="1" colspan="1">6409</td>
<td align="left" rowspan="1" colspan="1">4729</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">35</td>
<td align="left" rowspan="1" colspan="1">Respiration</td>
<td align="left" rowspan="1" colspan="1">105</td>
<td align="left" rowspan="1" colspan="1">18</td>
<td align="left" rowspan="1" colspan="1">633</td>
<td align="left" rowspan="1" colspan="1">14 898</td>
<td align="left" rowspan="1" colspan="1">6423</td>
<td align="left" rowspan="1" colspan="1">12 519</td>
<td align="left" rowspan="1" colspan="1">3621</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">36</td>
<td align="left" rowspan="1" colspan="1">Litter decomposability</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">8</td>
<td align="left" rowspan="1" colspan="1">972</td>
<td align="left" rowspan="1" colspan="1">2172</td>
<td align="left" rowspan="1" colspan="1">2013</td>
<td align="left" rowspan="1" colspan="1">1568</td>
<td align="left" rowspan="1" colspan="1">968</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">37</td>
<td align="left" rowspan="1" colspan="1">Pollination mode
<xref ref-type="table-fn" rid="tf2-1">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">1</td>
<td align="left" rowspan="1" colspan="1">10</td>
<td align="left" rowspan="1" colspan="1">4211</td>
<td align="left" rowspan="1" colspan="1">16 571</td>
<td align="left" rowspan="1" colspan="1">780</td>
<td align="left" rowspan="1" colspan="1">853</td>
<td align="left" rowspan="1" colspan="1">299</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">38</td>
<td align="left" rowspan="1" colspan="1">Dispersal mode
<xref ref-type="table-fn" rid="tf2-1">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">19</td>
<td align="left" rowspan="1" colspan="1">9728</td>
<td align="left" rowspan="1" colspan="1">43 502</td>
<td align="left" rowspan="1" colspan="1">5410</td>
<td align="left" rowspan="1" colspan="1">6357</td>
<td align="left" rowspan="1" colspan="1">341</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">39</td>
<td align="left" rowspan="1" colspan="1">Seed germination stimulation
<xref ref-type="table-fn" rid="tf2-1">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">7</td>
<td align="left" rowspan="1" colspan="1">3407</td>
<td align="left" rowspan="1" colspan="1">7074</td>
<td align="left" rowspan="1" colspan="1">112</td>
<td align="left" rowspan="1" colspan="1">206</td>
<td align="left" rowspan="1" colspan="1">4437</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">40</td>
<td align="left" rowspan="1" colspan="1">Seed size</td>
<td align="left" rowspan="1" colspan="1">17</td>
<td align="left" rowspan="1" colspan="1">30</td>
<td align="left" rowspan="1" colspan="1">26 839</td>
<td align="left" rowspan="1" colspan="1">158 881</td>
<td align="left" rowspan="1" colspan="1">13 225</td>
<td align="left" rowspan="1" colspan="1">6780</td>
<td align="left" rowspan="1" colspan="1">3755</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">41</td>
<td align="left" rowspan="1" colspan="1">Seed longevity</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="left" rowspan="1" colspan="1">1862</td>
<td align="left" rowspan="1" colspan="1">11 466</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">97</td>
<td align="left" rowspan="1" colspan="1">3</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">42</td>
<td align="left" rowspan="1" colspan="1">Seed morphology</td>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="left" rowspan="1" colspan="1">9</td>
<td align="left" rowspan="1" colspan="1">2326</td>
<td align="left" rowspan="1" colspan="1">3811</td>
<td align="left" rowspan="1" colspan="1">567</td>
<td align="left" rowspan="1" colspan="1">1253</td>
<td align="left" rowspan="1" colspan="1">0</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">43</td>
<td align="left" rowspan="1" colspan="1">Stem bark thickness</td>
<td align="left" rowspan="1" colspan="1">1</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">52</td>
<td align="left" rowspan="1" colspan="1">183</td>
<td align="left" rowspan="1" colspan="1">183</td>
<td align="left" rowspan="1" colspan="1">183</td>
<td align="left" rowspan="1" colspan="1">0</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">44</td>
<td align="left" rowspan="1" colspan="1">Wood porosity
<xref ref-type="table-fn" rid="tf2-1">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">1</td>
<td align="left" rowspan="1" colspan="1">1</td>
<td align="left" rowspan="1" colspan="1">5221</td>
<td align="left" rowspan="1" colspan="1">7059</td>
<td align="left" rowspan="1" colspan="1">0</td>
<td align="left" rowspan="1" colspan="1">0</td>
<td align="left" rowspan="1" colspan="1">0</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>45</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>Woodiness</bold>
<xref ref-type="table-fn" rid="tf2-1">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>1</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>23</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>44 385</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>74 891</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>24 957</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>26 237</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>19 609</bold>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">46</td>
<td align="left" rowspan="1" colspan="1">Wood anatomy</td>
<td align="left" rowspan="1" colspan="1">77</td>
<td align="left" rowspan="1" colspan="1">13</td>
<td align="left" rowspan="1" colspan="1">8506</td>
<td align="left" rowspan="1" colspan="1">252 072</td>
<td align="left" rowspan="1" colspan="1">126</td>
<td align="left" rowspan="1" colspan="1">24</td>
<td align="left" rowspan="1" colspan="1">965</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">47</td>
<td align="left" rowspan="1" colspan="1">Wood density</td>
<td align="left" rowspan="1" colspan="1">10</td>
<td align="left" rowspan="1" colspan="1">34</td>
<td align="left" rowspan="1" colspan="1">11 907</td>
<td align="left" rowspan="1" colspan="1">43 871</td>
<td align="left" rowspan="1" colspan="1">19 422</td>
<td align="left" rowspan="1" colspan="1">31 522</td>
<td align="left" rowspan="1" colspan="1">3121</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">48</td>
<td align="left" rowspan="1" colspan="1">Modifications for storage
<xref ref-type="table-fn" rid="tf2-1">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">4</td>
<td align="left" rowspan="1" colspan="1">7</td>
<td align="left" rowspan="1" colspan="1">4090</td>
<td align="left" rowspan="1" colspan="1">10 410</td>
<td align="left" rowspan="1" colspan="1">4052</td>
<td align="left" rowspan="1" colspan="1">4054</td>
<td align="left" rowspan="1" colspan="1">3747</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">49</td>
<td align="left" rowspan="1" colspan="1">Mycorrhiza type
<xref ref-type="table-fn" rid="tf2-1">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">1</td>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="left" rowspan="1" colspan="1">2453</td>
<td align="left" rowspan="1" colspan="1">14 935</td>
<td align="left" rowspan="1" colspan="1">10 481</td>
<td align="left" rowspan="1" colspan="1">10 500</td>
<td align="left" rowspan="1" colspan="1">10 481</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">50</td>
<td align="left" rowspan="1" colspan="1">Nitrogen fixation capacity
<xref ref-type="table-fn" rid="tf2-1">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">22</td>
<td align="left" rowspan="1" colspan="1">10 642</td>
<td align="left" rowspan="1" colspan="1">36 023</td>
<td align="left" rowspan="1" colspan="1">18 663</td>
<td align="left" rowspan="1" colspan="1">16 826</td>
<td align="left" rowspan="1" colspan="1">17 627</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">51</td>
<td align="left" rowspan="1" colspan="1">Rooting depth</td>
<td align="left" rowspan="1" colspan="1">1</td>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="left" rowspan="1" colspan="1">613</td>
<td align="left" rowspan="1" colspan="1">629</td>
<td align="left" rowspan="1" colspan="1">451</td>
<td align="left" rowspan="1" colspan="1">453</td>
<td align="left" rowspan="1" colspan="1">280</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">52</td>
<td align="left" rowspan="1" colspan="1">Defence/allelopathy/palatability</td>
<td align="left" rowspan="1" colspan="1">15</td>
<td align="left" rowspan="1" colspan="1">12</td>
<td align="left" rowspan="1" colspan="1">3333</td>
<td align="left" rowspan="1" colspan="1">13 388</td>
<td align="left" rowspan="1" colspan="1">2489</td>
<td align="left" rowspan="1" colspan="1">2663</td>
<td align="left" rowspan="1" colspan="1">10 936</td>
</tr>
<tr>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">Additional traits</td>
<td align="left" rowspan="1" colspan="1">257</td>
<td align="left" rowspan="1" colspan="1">132</td>
<td align="left" rowspan="1" colspan="1">35 286</td>
<td align="left" rowspan="1" colspan="1">496 383</td>
<td align="left" rowspan="1" colspan="1">123 068</td>
<td align="left" rowspan="1" colspan="1">135 052</td>
<td align="left" rowspan="1" colspan="1">179 577</td>
</tr>
<tr>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">Sum</td>
<td align="left" rowspan="1" colspan="1">1146</td>
<td align="left" rowspan="1" colspan="1">268 (total)</td>
<td align="left" rowspan="1" colspan="1">69 296 (total)</td>
<td align="left" rowspan="1" colspan="1">2 884 820</td>
<td align="left" rowspan="1" colspan="1">1 267 513</td>
<td align="left" rowspan="1" colspan="1">1 318 580</td>
<td align="left" rowspan="1" colspan="1">1 029 715</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tf2-1">
<label>*</label>
<p>Qualitative traits assumed to have low variability within species.</p>
</fn>
<fn>
<p>Traits that address one plant characteristic but expressed differently are summarized in groups, e.g. the group ‘leaf nitrogen content’ consists of the three traits: leaf nitrogen content per dry mass, leaf nitrogen content per area and nitrogen content per leaf. In the case of respiration, the database contains 105 related traits: different organs, different reference values (e.g. dry mass, area, volume, nitrogen) or characterizing the temperature dependence of respiration (e.g.
<italic>Q</italic>
<sub>10</sub>
). Specific information for each trait is available on the TRY website (
<ext-link ext-link-type="uri" xlink:href="http://www.try-db.org">http://www.try-db.org</ext-link>
). Datasets: number of contributed datasets; Species: number of species characterised by at least one trait entry; Entries: number of trait entries; Georeferenced, Location, Soil: number of trait entries geo-referenced by coordinates, resp. with information about location or soil.</p>
</fn>
<fn>
<p>Bold: qualitative traits standardized and made publicly available on the TRY website.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Quantitative traits vary within species as a consequence of genetic variation (among genotypes within a population/species) and phenotypic plasticity. Ancillary information is necessary to understand and quantify this variation. The TRY dataset contains information about the location (e.g. geographical coordinates, soil characteristics), environmental conditions during plant growth (e.g. climate of natural environment or experimental treatment), and information about measurement methods and conditions (e.g. temperature during respiration or photosynthesis measurements). Ancillary data also include primary references.</p>
<p>By preference individual measurements are compiled in the database, like single respiration measurements or the wood density of a specific individual tree. The dataset therefore includes multiple measurements for the same trait, species and site. For some traits, e.g. leaf longevity, such data are only rarely available on single individuals (e.g.
<xref ref-type="bibr" rid="b184">Reich
<italic>et al.</italic>
, 2004</xref>
), and data are expressed per species per site instead. Different measurements on the same plant (resp. organ) are linked to form observations that are hierarchically nested. The database structure ensures that (1) the direct relationship between traits and ancillary data and between different traits that have been measured on the same plant (resp. organ) is maintained and (2) conditions (e.g. at the stand level) can be associated with the individual measurements (
<xref ref-type="bibr" rid="b91">Kattge
<italic>et al.</italic>
, 2010</xref>
). The structure is consistent with the Extensible Observation Ontology (OBOE;
<xref ref-type="bibr" rid="b116">Madin
<italic>et al.</italic>
, 2008</xref>
), which has been proposed as a general basis for the integration of different data streams in ecology.</p>
<p>The TRY dataset combines several preexisting databases based on a wide range of primary data sources, which include trait data from plants grown in natural environments and under experimental conditions, obtained by a range of scientists with different methods. Trait variation in the TRY dataset therefore reflects natural and potential variation on the basis of individual measurements at the level of single organs, and variation due to different measurement methods and measurement error (random and bias).</p>
</sec>
<sec>
<title>Data treatment in the context of the TRY database</title>
<p>The TRY database has been developed as a Data Warehouse (
<xref ref-type="fig" rid="fig01">Fig. 1</xref>
) to combine data from different sources and make them available for analyses in a consistent format (
<xref ref-type="bibr" rid="b91">Kattge
<italic>et al.</italic>
, 2010</xref>
). The Data Warehouse provides routines for data extraction, import, cleaning and export. Original species names are complemented by taxonomically accepted names, based on a checklist developed by IPNI (The International Plant Names Index:
<ext-link ext-link-type="uri" xlink:href="http://www.ipni.org">http://www.ipni.org</ext-link>
) and TROPICOS (Missouri Botanical Garden:
<ext-link ext-link-type="uri" xlink:href="http://www.tropicos.org">http://www.tropicos.org</ext-link>
), which had been made publicly available on the TaxonScrubber website by the SALVIAS (Synthesis and Analysis of Local Vegetation Inventories Across Sites:
<ext-link ext-link-type="uri" xlink:href="http://www.salvias.net">http://www.salvias.net</ext-link>
) initiative (
<xref ref-type="bibr" rid="b19">Boyle, 2006</xref>
). Trait entries and ancillary data are standardized and errors are corrected after consent from data contributors. Finally, outliers and duplicate trait entries are identified and marked (for method of outlier detection, see
<xref ref-type="supplementary-material" rid="SD1">Appendix S1</xref>
). The cleaned and complemented data are moved to the data repository, whence they are released on request.</p>
<fig id="fig01" position="float">
<label>Fig. 1</label>
<caption>
<p>The TRY process of data sharing. Researcher C contributes plant trait data to TRY (1) and becomes a member of the TRY consortium (2). The data are transferred to the Staging Area, where they are extracted and imported, dimensionally and taxonomically cleaned, checked for consistency against all other similar trait entries and complemented with covariates from external databases [3; Tax, taxonomic databases, IPNI/TROPICOS accessed via TaxonScrubber (
<xref ref-type="bibr" rid="b19">Boyle, 2006</xref>
); Clim, climate databases, e.g. CRU; Geo, geographic databases]. Cleaned and complemented data are transferred to the Data Repository (4). If researcher C wants to retain full ownership, the data are labelled accordingly. Otherwise they obtain the status ‘freely available within TRY’. Researcher C can request her/his own data – now cleaned and complemented – at any time (5). If she/he has contributed a minimum amount of data (currently >500 entries), she/he automatically is entitled to request data other than her/his own from TRY. In order to receive data she/he has to submit a short proposal explaining the project rationale and the data requirements to the TRY steering committee (6). Upon acceptance (7) the proposal is published on the Intranet of the TRY website (title on the public domain) and the data management automatically identifies the potential data contributors affected by the request. Researcher C then contacts the contributors who have to grant permission to use the data and to indicate whether they request coauthorship in turn (8). All this is handled via standard e-mails and forms. The permitted data are then provided to researcher C (9), who is entitled to carry out and publish the data analysis (10). To make trait data also available to vegetation modellers – one of the pioneering motivations of the TRY initiative – modellers (e.g. modeller E) are also allowed to directly submit proposals (11) without prior data submission provided the data are to be used for model parameter estimation and evaluation only. We encourage contributors to change the status of their data from ‘own’ to ‘free’ (12) as they have successfully contributed to publications. With consent of contributors this part of the database is being made publicly available without restriction. So far look-up tables for several qualitative traits (see
<xref ref-type="table" rid="tbl2">Table 2</xref>
) have been published on the website of the TRY initiative (
<ext-link ext-link-type="uri" xlink:href="http://www.try-db.org">http://www.try-db.org</ext-link>
). Meta-data are also provided without restriction (13).</p>
</caption>
<graphic xlink:href="gcb0017-2905-f1"></graphic>
</fig>
</sec>
<sec>
<title>Selection of data and statistical methods in the context of this analysis</title>
<p>For the analyses in the context of this manuscript, we have chosen traits with sufficient coverage from different aspects of plant functioning. The data were standardized, checked for errors and duplicates excluded. Maximum photosynthetic rates and stomatal conductance were filtered for temperature (15–30 °C), light (PAR >500 μmol m
<sup>2</sup>
s
<sup>−1</sup>
) and atmospheric CO
<sub>2</sub>
concentration during measurements (300–400 ppm); data for respiration were filtered for temperature (15–30 °C). A temperature range for respiration from 15–30 °C will add variability to trait values. Nevertheless, an immediate response of respiration to temperature is balanced by an opposite adaptation of basal respiration rates to long-term temperature changes. More detailed analyses will have to take short- and long-term impact of temperature on both scales into account. With respect to photosynthetic rates the problem is similar, but less severe. Statistical properties of density distributions of trait data were characterized by skewness and kurtosis on the original scale and after log-transformation. The Jarque–Bera test was applied to assess departure from normality (
<xref ref-type="bibr" rid="b15">Bera & Jarque, 1980</xref>
). Finally outliers were identified (see supporting information,
<xref ref-type="supplementary-material" rid="SD1">Appendix S1</xref>
). The subsequent analyses are based on standardized trait values, excluding outliers and duplicates.</p>
<p>PFTs were defined similar to those used in global vegetation models (e.g.
<xref ref-type="bibr" rid="b243">Woodward & Cramer, 1996</xref>
;
<xref ref-type="bibr" rid="b214">Sitch
<italic>et al.</italic>
, 2003</xref>
; see
<xref ref-type="table" rid="tbl5">Table 5</xref>
), based on standardized tables for the qualitative traits ‘plant growth form’ (grass, herb, climber, shrub, tree), ‘leaf type’ (needle-leaved, broad-leaved), ‘leaf phenology type’ (deciduous, evergreen), ‘photosynthetic pathway’ (C3, C4, CAM) and ‘woodiness’ (woody, nonwoody).</p>
<table-wrap id="tbl5" position="float">
<label>Table 5</label>
<caption>
<p>Variation within and between species and within and between plant functional types (PFT)</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="1" colspan="1"></th>
<th align="left" colspan="3" rowspan="1">Seed mass</th>
<th align="left" colspan="3" rowspan="1">Plant height</th>
<th align="left" colspan="3" rowspan="1">LL</th>
<th align="left" colspan="3" rowspan="1">SLA</th>
<th align="left" colspan="3" rowspan="1">
<italic>N</italic>
<sub>m</sub>
</th>
<th align="left" colspan="3" rowspan="1">
<italic>P</italic>
<sub>m</sub>
</th>
<th align="left" colspan="3" rowspan="1">
<italic>N</italic>
<sub>a</sub>
</th>
<th align="left" colspan="3" rowspan="1">
<inline-formula>
<inline-graphic xlink:href="gcb0017-2905-mu7.jpg" mimetype="image"></inline-graphic>
</inline-formula>
</th>
<th align="left" colspan="3" rowspan="1">
<inline-formula>
<inline-graphic xlink:href="gcb0017-2905-mu8.jpg" mimetype="image"></inline-graphic>
</inline-formula>
</th>
<th align="left" colspan="3" rowspan="1">
<inline-formula>
<inline-graphic xlink:href="gcb0017-2905-mu9.jpg" mimetype="image"></inline-graphic>
</inline-formula>
</th>
</tr>
<tr>
<th rowspan="1" colspan="1"></th>
<th align="left" colspan="3" rowspan="1">
<hr></hr>
</th>
<th align="left" colspan="3" rowspan="1">
<hr></hr>
</th>
<th align="left" colspan="3" rowspan="1">
<hr></hr>
</th>
<th align="left" colspan="3" rowspan="1">
<hr></hr>
</th>
<th align="left" colspan="3" rowspan="1">
<hr></hr>
</th>
<th align="left" colspan="3" rowspan="1">
<hr></hr>
</th>
<th align="left" colspan="3" rowspan="1">
<hr></hr>
</th>
<th align="left" colspan="3" rowspan="1">
<hr></hr>
</th>
<th align="left" colspan="3" rowspan="1">
<hr></hr>
</th>
<th align="left" colspan="3" rowspan="1">
<hr></hr>
</th>
</tr>
<tr>
<th rowspan="1" colspan="1"></th>
<th align="left" rowspan="1" colspan="1">
<italic>n</italic>
</th>
<th align="left" rowspan="1" colspan="1">Mean</th>
<th align="left" rowspan="1" colspan="1">SD</th>
<th align="left" rowspan="1" colspan="1">
<italic>n</italic>
</th>
<th align="left" rowspan="1" colspan="1">Mean</th>
<th align="left" rowspan="1" colspan="1">SD</th>
<th align="left" rowspan="1" colspan="1">
<italic>n</italic>
</th>
<th align="left" rowspan="1" colspan="1">Mean</th>
<th align="left" rowspan="1" colspan="1">SD</th>
<th align="left" rowspan="1" colspan="1">
<italic>n</italic>
</th>
<th align="left" rowspan="1" colspan="1">Mean</th>
<th align="left" rowspan="1" colspan="1">SD</th>
<th align="left" rowspan="1" colspan="1">
<italic>n</italic>
</th>
<th align="left" rowspan="1" colspan="1">Mean</th>
<th align="left" rowspan="1" colspan="1">SD</th>
<th align="left" rowspan="1" colspan="1">
<italic>n</italic>
</th>
<th align="left" rowspan="1" colspan="1">Mean</th>
<th align="left" rowspan="1" colspan="1">SD</th>
<th align="left" rowspan="1" colspan="1">
<italic>n</italic>
</th>
<th align="left" rowspan="1" colspan="1">Mean</th>
<th align="left" rowspan="1" colspan="1">SD</th>
<th align="left" rowspan="1" colspan="1">
<italic>n</italic>
</th>
<th align="left" rowspan="1" colspan="1">Mean</th>
<th align="left" rowspan="1" colspan="1">SD</th>
<th align="left" rowspan="1" colspan="1">
<italic>n</italic>
</th>
<th align="left" rowspan="1" colspan="1">Mean</th>
<th align="left" rowspan="1" colspan="1">SD</th>
<th align="left" rowspan="1" colspan="1">
<italic>n</italic>
</th>
<th align="left" rowspan="1" colspan="1">Mean</th>
<th align="left" rowspan="1" colspan="1">SD</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">All data</td>
<td align="left" rowspan="1" colspan="1">49 837</td>
<td align="left" rowspan="1" colspan="1">2.38</td>
<td align="left" rowspan="1" colspan="1">1.08</td>
<td align="left" rowspan="1" colspan="1">26 624</td>
<td align="left" rowspan="1" colspan="1">1.84</td>
<td align="left" rowspan="1" colspan="1">0.78</td>
<td align="left" rowspan="1" colspan="1">1540</td>
<td align="left" rowspan="1" colspan="1">9.40</td>
<td align="left" rowspan="1" colspan="1">0.41</td>
<td align="left" rowspan="1" colspan="1">45 733</td>
<td align="left" rowspan="1" colspan="1">16.60</td>
<td align="left" rowspan="1" colspan="1">0.26</td>
<td align="left" rowspan="1" colspan="1">33 880</td>
<td align="left" rowspan="1" colspan="1">17.40</td>
<td align="left" rowspan="1" colspan="1">0.18</td>
<td align="left" rowspan="1" colspan="1">17 056</td>
<td align="left" rowspan="1" colspan="1">1.23</td>
<td align="left" rowspan="1" colspan="1">0.24</td>
<td align="left" rowspan="1" colspan="1">12 860</td>
<td align="left" rowspan="1" colspan="1">1.59</td>
<td align="left" rowspan="1" colspan="1">0.19</td>
<td align="left" rowspan="1" colspan="1">3145</td>
<td align="left" rowspan="1" colspan="1">10.11</td>
<td align="left" rowspan="1" colspan="1">0.25</td>
<td align="left" rowspan="1" colspan="1">2919</td>
<td align="left" rowspan="1" colspan="1">0.12</td>
<td align="left" rowspan="1" colspan="1">0.33</td>
<td align="left" rowspan="1" colspan="1">3074</td>
<td align="left" rowspan="1" colspan="1">6.23</td>
<td align="left" rowspan="1" colspan="1">0.28</td>
</tr>
<tr>
<td align="left" colspan="31" rowspan="1">
<italic>PFT summary</italic>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Mean</td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">5.27</td>
<td align="left" rowspan="1" colspan="1">0.79</td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">2.67</td>
<td align="left" rowspan="1" colspan="1">0.43</td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">11.42</td>
<td align="left" rowspan="1" colspan="1">0.25</td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">15.08</td>
<td align="left" rowspan="1" colspan="1">0.20</td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">17.46</td>
<td align="left" rowspan="1" colspan="1">0.16</td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">1.24</td>
<td align="left" rowspan="1" colspan="1">0.21</td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">1.53</td>
<td align="left" rowspan="1" colspan="1">0.17</td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">10.22</td>
<td align="left" rowspan="1" colspan="1">0.22</td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">0.10</td>
<td align="left" rowspan="1" colspan="1">0.24</td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">5.72</td>
<td align="left" rowspan="1" colspan="1">0.23</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> SD between</td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">0.90</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">0.69</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">0.40</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">0.18</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">0.10</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">0.14</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">0.11</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">0.16</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">0.24</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">0.27</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>n</italic>
/PFT</td>
<td align="left" rowspan="1" colspan="1">2623</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">1401</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">91</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">2407</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">1783</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">898</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">677</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">208</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">198</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">194</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Sign.
<italic>P</italic>
</td>
<td align="left" rowspan="1" colspan="1">***</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">***</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">***</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">***</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">***</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">***</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">***</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">***</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">***</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">***</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" colspan="31" rowspan="1">
<italic>Species summary</italic>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Mean</td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">2.12</td>
<td align="left" rowspan="1" colspan="1">0.13</td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">3.06</td>
<td align="left" rowspan="1" colspan="1">0.18</td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">9.09</td>
<td align="left" rowspan="1" colspan="1">0.03</td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">18.84</td>
<td align="left" rowspan="1" colspan="1">0.09</td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">18.37</td>
<td align="left" rowspan="1" colspan="1">0.08</td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">1.22</td>
<td align="left" rowspan="1" colspan="1">0.11</td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">1.48</td>
<td align="left" rowspan="1" colspan="1">0.10</td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">10.13</td>
<td align="left" rowspan="1" colspan="1">0.14</td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">0.12</td>
<td align="left" rowspan="1" colspan="1">0.14</td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">5.79</td>
<td align="left" rowspan="1" colspan="1">0.14</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> SD between</td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">1.03</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">0.81</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">0.40</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">0.22</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">0.16</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">0.23</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">0.16</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">0.22</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">0.33</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">0.25</td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> nsp</td>
<td align="left" rowspan="1" colspan="1">2707</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">882</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">363</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">2423</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">1250</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">649</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">519</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">168</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">120</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">121</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>n</italic>
/sp</td>
<td align="left" rowspan="1" colspan="1">11</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">10</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">3</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">16</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">18</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">16</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">15</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">13</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">11</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">13</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">  Sign.
<italic>P</italic>
</td>
<td align="left" rowspan="1" colspan="1">***</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">***</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">***</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">***</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">***</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">***</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">***</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">***</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">***</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">***</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" colspan="31" rowspan="1">
<italic>Plant functional types</italic>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Fern (218)</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">0.08</td>
<td align="left" rowspan="1" colspan="1">0.83</td>
<td align="left" rowspan="1" colspan="1">329</td>
<td align="left" rowspan="1" colspan="1">0.75</td>
<td align="left" rowspan="1" colspan="1">0.47</td>
<td align="left" rowspan="1" colspan="1">13</td>
<td align="left" rowspan="1" colspan="1">28.48</td>
<td align="left" rowspan="1" colspan="1">0.25</td>
<td align="left" rowspan="1" colspan="1">647</td>
<td align="left" rowspan="1" colspan="1">18.86</td>
<td align="left" rowspan="1" colspan="1">0.22</td>
<td align="left" rowspan="1" colspan="1">143</td>
<td align="left" rowspan="1" colspan="1">14.77</td>
<td align="left" rowspan="1" colspan="1">0.19</td>
<td align="left" rowspan="1" colspan="1">91</td>
<td align="left" rowspan="1" colspan="1">0.72</td>
<td align="left" rowspan="1" colspan="1">0.21</td>
<td align="left" rowspan="1" colspan="1">50</td>
<td align="left" rowspan="1" colspan="1">1.14</td>
<td align="left" rowspan="1" colspan="1">0.20</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">9.15</td>
<td align="left" rowspan="1" colspan="1">0.18</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">0.09</td>
<td align="left" rowspan="1" colspan="1">0.12</td>
<td align="left" rowspan="1" colspan="1">4</td>
<td align="left" rowspan="1" colspan="1">1.77</td>
<td align="left" rowspan="1" colspan="1">0.39</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Grass C3 (594)</td>
<td align="left" rowspan="1" colspan="1">3935</td>
<td align="left" rowspan="1" colspan="1">0.61</td>
<td align="left" rowspan="1" colspan="1">0.70</td>
<td align="left" rowspan="1" colspan="1">1242</td>
<td align="left" rowspan="1" colspan="1">0.44</td>
<td align="left" rowspan="1" colspan="1">0.31</td>
<td align="left" rowspan="1" colspan="1">81</td>
<td align="left" rowspan="1" colspan="1">3.85</td>
<td align="left" rowspan="1" colspan="1">0.22</td>
<td align="left" rowspan="1" colspan="1">5033</td>
<td align="left" rowspan="1" colspan="1">20.12</td>
<td align="left" rowspan="1" colspan="1">0.20</td>
<td align="left" rowspan="1" colspan="1">2669</td>
<td align="left" rowspan="1" colspan="1">17.84</td>
<td align="left" rowspan="1" colspan="1">0.16</td>
<td align="left" rowspan="1" colspan="1">1435</td>
<td align="left" rowspan="1" colspan="1">1.43</td>
<td align="left" rowspan="1" colspan="1">0.23</td>
<td align="left" rowspan="1" colspan="1">1075</td>
<td align="left" rowspan="1" colspan="1">1.14</td>
<td align="left" rowspan="1" colspan="1">0.17</td>
<td align="left" rowspan="1" colspan="1">341</td>
<td align="left" rowspan="1" colspan="1">13.25</td>
<td align="left" rowspan="1" colspan="1">0.21</td>
<td align="left" rowspan="1" colspan="1">232</td>
<td align="left" rowspan="1" colspan="1">0.20</td>
<td align="left" rowspan="1" colspan="1">0.24</td>
<td align="left" rowspan="1" colspan="1">215</td>
<td align="left" rowspan="1" colspan="1">9.25</td>
<td align="left" rowspan="1" colspan="1">0.27</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Grass C4 (248)</td>
<td align="left" rowspan="1" colspan="1">635</td>
<td align="left" rowspan="1" colspan="1">0.58</td>
<td align="left" rowspan="1" colspan="1">0.60</td>
<td align="left" rowspan="1" colspan="1">383</td>
<td align="left" rowspan="1" colspan="1">0.64</td>
<td align="left" rowspan="1" colspan="1">0.33</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">1.68</td>
<td align="left" rowspan="1" colspan="1">0.18</td>
<td align="left" rowspan="1" colspan="1">583</td>
<td align="left" rowspan="1" colspan="1">19.23</td>
<td align="left" rowspan="1" colspan="1">0.22</td>
<td align="left" rowspan="1" colspan="1">1128</td>
<td align="left" rowspan="1" colspan="1">14.14</td>
<td align="left" rowspan="1" colspan="1">0.15</td>
<td align="left" rowspan="1" colspan="1">150</td>
<td align="left" rowspan="1" colspan="1">1.36</td>
<td align="left" rowspan="1" colspan="1">0.23</td>
<td align="left" rowspan="1" colspan="1">232</td>
<td align="left" rowspan="1" colspan="1">0.93</td>
<td align="left" rowspan="1" colspan="1">0.16</td>
<td align="left" rowspan="1" colspan="1">97</td>
<td align="left" rowspan="1" colspan="1">19.78</td>
<td align="left" rowspan="1" colspan="1">0.20</td>
<td align="left" rowspan="1" colspan="1">70</td>
<td align="left" rowspan="1" colspan="1">0.25</td>
<td align="left" rowspan="1" colspan="1">0.17</td>
<td align="left" rowspan="1" colspan="1">80</td>
<td align="left" rowspan="1" colspan="1">18.81</td>
<td align="left" rowspan="1" colspan="1">0.22</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Herb C3 (3129)</td>
<td align="left" rowspan="1" colspan="1">15 506</td>
<td align="left" rowspan="1" colspan="1">0.77</td>
<td align="left" rowspan="1" colspan="1">0.82</td>
<td align="left" rowspan="1" colspan="1">3404</td>
<td align="left" rowspan="1" colspan="1">0.38</td>
<td align="left" rowspan="1" colspan="1">0.38</td>
<td align="left" rowspan="1" colspan="1">215</td>
<td align="left" rowspan="1" colspan="1">3.49</td>
<td align="left" rowspan="1" colspan="1">0.25</td>
<td align="left" rowspan="1" colspan="1">18 830</td>
<td align="left" rowspan="1" colspan="1">22.83</td>
<td align="left" rowspan="1" colspan="1">0.19</td>
<td align="left" rowspan="1" colspan="1">4893</td>
<td align="left" rowspan="1" colspan="1">23.31</td>
<td align="left" rowspan="1" colspan="1">0.16</td>
<td align="left" rowspan="1" colspan="1">1870</td>
<td align="left" rowspan="1" colspan="1">2.02</td>
<td align="left" rowspan="1" colspan="1">0.21</td>
<td align="left" rowspan="1" colspan="1">2798</td>
<td align="left" rowspan="1" colspan="1">1.29</td>
<td align="left" rowspan="1" colspan="1">0.18</td>
<td align="left" rowspan="1" colspan="1">1015</td>
<td align="left" rowspan="1" colspan="1">12.81</td>
<td align="left" rowspan="1" colspan="1">0.25</td>
<td align="left" rowspan="1" colspan="1">663</td>
<td align="left" rowspan="1" colspan="1">0.21</td>
<td align="left" rowspan="1" colspan="1">0.26</td>
<td align="left" rowspan="1" colspan="1">694</td>
<td align="left" rowspan="1" colspan="1">8.49</td>
<td align="left" rowspan="1" colspan="1">0.20</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Herb C4 (63)</td>
<td align="left" rowspan="1" colspan="1">183</td>
<td align="left" rowspan="1" colspan="1">0.49</td>
<td align="left" rowspan="1" colspan="1">0.53</td>
<td align="left" rowspan="1" colspan="1">36</td>
<td align="left" rowspan="1" colspan="1">0.25</td>
<td align="left" rowspan="1" colspan="1">0.55</td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">1.00</td>
<td align="left" rowspan="1" colspan="1">0.00</td>
<td align="left" rowspan="1" colspan="1">212</td>
<td align="left" rowspan="1" colspan="1">20.20</td>
<td align="left" rowspan="1" colspan="1">0.25</td>
<td align="left" rowspan="1" colspan="1">87</td>
<td align="left" rowspan="1" colspan="1">18.78</td>
<td align="left" rowspan="1" colspan="1">0.24</td>
<td align="left" rowspan="1" colspan="1">47</td>
<td align="left" rowspan="1" colspan="1">1.86</td>
<td align="left" rowspan="1" colspan="1">0.25</td>
<td align="left" rowspan="1" colspan="1">127</td>
<td align="left" rowspan="1" colspan="1">1.31</td>
<td align="left" rowspan="1" colspan="1">0.14</td>
<td align="left" rowspan="1" colspan="1">102</td>
<td align="left" rowspan="1" colspan="1">21.87</td>
<td align="left" rowspan="1" colspan="1">0.22</td>
<td align="left" rowspan="1" colspan="1">33</td>
<td align="left" rowspan="1" colspan="1">0.15</td>
<td align="left" rowspan="1" colspan="1">0.29</td>
<td align="left" rowspan="1" colspan="1">89</td>
<td align="left" rowspan="1" colspan="1">15.42</td>
<td align="left" rowspan="1" colspan="1">0.24</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Climber nonwoody (233)</td>
<td align="left" rowspan="1" colspan="1">751</td>
<td align="left" rowspan="1" colspan="1">15.25</td>
<td align="left" rowspan="1" colspan="1">0.57</td>
<td align="left" rowspan="1" colspan="1">268</td>
<td align="left" rowspan="1" colspan="1">1.05</td>
<td align="left" rowspan="1" colspan="1">0.48</td>
<td align="left" rowspan="1" colspan="1">17</td>
<td align="left" rowspan="1" colspan="1">8.99</td>
<td align="left" rowspan="1" colspan="1">0.35</td>
<td align="left" rowspan="1" colspan="1">949</td>
<td align="left" rowspan="1" colspan="1">23.40</td>
<td align="left" rowspan="1" colspan="1">0.20</td>
<td align="left" rowspan="1" colspan="1">295</td>
<td align="left" rowspan="1" colspan="1">25.34</td>
<td align="left" rowspan="1" colspan="1">0.17</td>
<td align="left" rowspan="1" colspan="1">143</td>
<td align="left" rowspan="1" colspan="1">1.38</td>
<td align="left" rowspan="1" colspan="1">0.26</td>
<td align="left" rowspan="1" colspan="1">154</td>
<td align="left" rowspan="1" colspan="1">1.33</td>
<td align="left" rowspan="1" colspan="1">0.19</td>
<td align="left" rowspan="1" colspan="1">29</td>
<td align="left" rowspan="1" colspan="1">10.04</td>
<td align="left" rowspan="1" colspan="1">0.24</td>
<td align="left" rowspan="1" colspan="1">30</td>
<td align="left" rowspan="1" colspan="1">0.12</td>
<td align="left" rowspan="1" colspan="1">0.39</td>
<td align="left" rowspan="1" colspan="1">26</td>
<td align="left" rowspan="1" colspan="1">5.74</td>
<td align="left" rowspan="1" colspan="1">0.28</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Climber woody (73)</td>
<td align="left" rowspan="1" colspan="1">102</td>
<td align="left" rowspan="1" colspan="1">15.16</td>
<td align="left" rowspan="1" colspan="1">0.43</td>
<td align="left" rowspan="1" colspan="1">76</td>
<td align="left" rowspan="1" colspan="1">3.74</td>
<td align="left" rowspan="1" colspan="1">0.51</td>
<td align="left" rowspan="1" colspan="1">7</td>
<td align="left" rowspan="1" colspan="1">16.68</td>
<td align="left" rowspan="1" colspan="1">0.35</td>
<td align="left" rowspan="1" colspan="1">443</td>
<td align="left" rowspan="1" colspan="1">14.73</td>
<td align="left" rowspan="1" colspan="1">0.19</td>
<td align="left" rowspan="1" colspan="1">157</td>
<td align="left" rowspan="1" colspan="1">21.34</td>
<td align="left" rowspan="1" colspan="1">0.14</td>
<td align="left" rowspan="1" colspan="1">101</td>
<td align="left" rowspan="1" colspan="1">1.62</td>
<td align="left" rowspan="1" colspan="1">0.23</td>
<td align="left" rowspan="1" colspan="1">42</td>
<td align="left" rowspan="1" colspan="1">1.32</td>
<td align="left" rowspan="1" colspan="1">0.20</td>
<td align="left" rowspan="1" colspan="1">13</td>
<td align="left" rowspan="1" colspan="1">11.21</td>
<td align="left" rowspan="1" colspan="1">0.21</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">0.09</td>
<td align="left" rowspan="1" colspan="1">0.20</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">4.10</td>
<td align="left" rowspan="1" colspan="1">0.19</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Shrub broadleaved deciduous (596)</td>
<td align="left" rowspan="1" colspan="1">1573</td>
<td align="left" rowspan="1" colspan="1">6.67</td>
<td align="left" rowspan="1" colspan="1">0.99</td>
<td align="left" rowspan="1" colspan="1">1221</td>
<td align="left" rowspan="1" colspan="1">3.59</td>
<td align="left" rowspan="1" colspan="1">0.49</td>
<td align="left" rowspan="1" colspan="1">167</td>
<td align="left" rowspan="1" colspan="1">4.68</td>
<td align="left" rowspan="1" colspan="1">0.19</td>
<td align="left" rowspan="1" colspan="1">3838</td>
<td align="left" rowspan="1" colspan="1">15.36</td>
<td align="left" rowspan="1" colspan="1">0.18</td>
<td align="left" rowspan="1" colspan="1">2223</td>
<td align="left" rowspan="1" colspan="1">21.50</td>
<td align="left" rowspan="1" colspan="1">0.14</td>
<td align="left" rowspan="1" colspan="1">1209</td>
<td align="left" rowspan="1" colspan="1">1.56</td>
<td align="left" rowspan="1" colspan="1">0.20</td>
<td align="left" rowspan="1" colspan="1">748</td>
<td align="left" rowspan="1" colspan="1">1.45</td>
<td align="left" rowspan="1" colspan="1">0.18</td>
<td align="left" rowspan="1" colspan="1">233</td>
<td align="left" rowspan="1" colspan="1">9.97</td>
<td align="left" rowspan="1" colspan="1">0.17</td>
<td align="left" rowspan="1" colspan="1">242</td>
<td align="left" rowspan="1" colspan="1">0.15</td>
<td align="left" rowspan="1" colspan="1">0.23</td>
<td align="left" rowspan="1" colspan="1">228</td>
<td align="left" rowspan="1" colspan="1">6.02</td>
<td align="left" rowspan="1" colspan="1">0.18</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Shrub broadleaved evergreen (1162)</td>
<td align="left" rowspan="1" colspan="1">1911</td>
<td align="left" rowspan="1" colspan="1">4.02</td>
<td align="left" rowspan="1" colspan="1">0.98</td>
<td align="left" rowspan="1" colspan="1">1694</td>
<td align="left" rowspan="1" colspan="1">1.61</td>
<td align="left" rowspan="1" colspan="1">0.55</td>
<td align="left" rowspan="1" colspan="1">284</td>
<td align="left" rowspan="1" colspan="1">15.88</td>
<td align="left" rowspan="1" colspan="1">0.26</td>
<td align="left" rowspan="1" colspan="1">3216</td>
<td align="left" rowspan="1" colspan="1">8.99</td>
<td align="left" rowspan="1" colspan="1">0.21</td>
<td align="left" rowspan="1" colspan="1">2623</td>
<td align="left" rowspan="1" colspan="1">13.73</td>
<td align="left" rowspan="1" colspan="1">0.18</td>
<td align="left" rowspan="1" colspan="1">1504</td>
<td align="left" rowspan="1" colspan="1">0.84</td>
<td align="left" rowspan="1" colspan="1">0.25</td>
<td align="left" rowspan="1" colspan="1">1033</td>
<td align="left" rowspan="1" colspan="1">1.90</td>
<td align="left" rowspan="1" colspan="1">0.19</td>
<td align="left" rowspan="1" colspan="1">390</td>
<td align="left" rowspan="1" colspan="1">8.96</td>
<td align="left" rowspan="1" colspan="1">0.23</td>
<td align="left" rowspan="1" colspan="1">345</td>
<td align="left" rowspan="1" colspan="1">0.08</td>
<td align="left" rowspan="1" colspan="1">0.29</td>
<td align="left" rowspan="1" colspan="1">382</td>
<td align="left" rowspan="1" colspan="1">4.57</td>
<td align="left" rowspan="1" colspan="1">0.23</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Shrub needleleaved (83)</td>
<td align="left" rowspan="1" colspan="1">256</td>
<td align="left" rowspan="1" colspan="1">2.55</td>
<td align="left" rowspan="1" colspan="1">1.28</td>
<td align="left" rowspan="1" colspan="1">121</td>
<td align="left" rowspan="1" colspan="1">3.53</td>
<td align="left" rowspan="1" colspan="1">0.58</td>
<td align="left" rowspan="1" colspan="1">17</td>
<td align="left" rowspan="1" colspan="1">36.66</td>
<td align="left" rowspan="1" colspan="1">0.25</td>
<td align="left" rowspan="1" colspan="1">303</td>
<td align="left" rowspan="1" colspan="1">7.43</td>
<td align="left" rowspan="1" colspan="1">0.15</td>
<td align="left" rowspan="1" colspan="1">223</td>
<td align="left" rowspan="1" colspan="1">10.11</td>
<td align="left" rowspan="1" colspan="1">0.15</td>
<td align="left" rowspan="1" colspan="1">123</td>
<td align="left" rowspan="1" colspan="1">0.74</td>
<td align="left" rowspan="1" colspan="1">0.26</td>
<td align="left" rowspan="1" colspan="1">89</td>
<td align="left" rowspan="1" colspan="1">1.83</td>
<td align="left" rowspan="1" colspan="1">0.17</td>
<td align="left" rowspan="1" colspan="1">19</td>
<td align="left" rowspan="1" colspan="1">8.03</td>
<td align="left" rowspan="1" colspan="1">0.24</td>
<td align="left" rowspan="1" colspan="1">19</td>
<td align="left" rowspan="1" colspan="1">0.04</td>
<td align="left" rowspan="1" colspan="1">0.16</td>
<td align="left" rowspan="1" colspan="1">17</td>
<td align="left" rowspan="1" colspan="1">4.02</td>
<td align="left" rowspan="1" colspan="1">0.25</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Tree broadleaved deciduous (699)</td>
<td align="left" rowspan="1" colspan="1">1606</td>
<td align="left" rowspan="1" colspan="1">33.80</td>
<td align="left" rowspan="1" colspan="1">1.09</td>
<td align="left" rowspan="1" colspan="1">1471</td>
<td align="left" rowspan="1" colspan="1">20.82</td>
<td align="left" rowspan="1" colspan="1">0.28</td>
<td align="left" rowspan="1" colspan="1">240</td>
<td align="left" rowspan="1" colspan="1">5.83</td>
<td align="left" rowspan="1" colspan="1">0.17</td>
<td align="left" rowspan="1" colspan="1">3963</td>
<td align="left" rowspan="1" colspan="1">15.40</td>
<td align="left" rowspan="1" colspan="1">0.17</td>
<td align="left" rowspan="1" colspan="1">4343</td>
<td align="left" rowspan="1" colspan="1">21.32</td>
<td align="left" rowspan="1" colspan="1">0.13</td>
<td align="left" rowspan="1" colspan="1">2225</td>
<td align="left" rowspan="1" colspan="1">1.44</td>
<td align="left" rowspan="1" colspan="1">0.20</td>
<td align="left" rowspan="1" colspan="1">1723</td>
<td align="left" rowspan="1" colspan="1">1.57</td>
<td align="left" rowspan="1" colspan="1">0.16</td>
<td align="left" rowspan="1" colspan="1">539</td>
<td align="left" rowspan="1" colspan="1">9.34</td>
<td align="left" rowspan="1" colspan="1">0.18</td>
<td align="left" rowspan="1" colspan="1">520</td>
<td align="left" rowspan="1" colspan="1">0.12</td>
<td align="left" rowspan="1" colspan="1">0.23</td>
<td align="left" rowspan="1" colspan="1">360</td>
<td align="left" rowspan="1" colspan="1">6.28</td>
<td align="left" rowspan="1" colspan="1">0.17</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Tree broadleaved evergreen (2136)</td>
<td align="left" rowspan="1" colspan="1">1487</td>
<td align="left" rowspan="1" colspan="1">27.64</td>
<td align="left" rowspan="1" colspan="1">1.07</td>
<td align="left" rowspan="1" colspan="1">1973</td>
<td align="left" rowspan="1" colspan="1">16.56</td>
<td align="left" rowspan="1" colspan="1">0.36</td>
<td align="left" rowspan="1" colspan="1">360</td>
<td align="left" rowspan="1" colspan="1">16.83</td>
<td align="left" rowspan="1" colspan="1">0.29</td>
<td align="left" rowspan="1" colspan="1">3859</td>
<td align="left" rowspan="1" colspan="1">9.46</td>
<td align="left" rowspan="1" colspan="1">0.19</td>
<td align="left" rowspan="1" colspan="1">5921</td>
<td align="left" rowspan="1" colspan="1">16.89</td>
<td align="left" rowspan="1" colspan="1">0.16</td>
<td align="left" rowspan="1" colspan="1">3177</td>
<td align="left" rowspan="1" colspan="1">0.86</td>
<td align="left" rowspan="1" colspan="1">0.20</td>
<td align="left" rowspan="1" colspan="1">2723</td>
<td align="left" rowspan="1" colspan="1">1.87</td>
<td align="left" rowspan="1" colspan="1">0.15</td>
<td align="left" rowspan="1" colspan="1">652</td>
<td align="left" rowspan="1" colspan="1">7.79</td>
<td align="left" rowspan="1" colspan="1">0.23</td>
<td align="left" rowspan="1" colspan="1">484</td>
<td align="left" rowspan="1" colspan="1">0.07</td>
<td align="left" rowspan="1" colspan="1">0.27</td>
<td align="left" rowspan="1" colspan="1">564</td>
<td align="left" rowspan="1" colspan="1">4.63</td>
<td align="left" rowspan="1" colspan="1">0.22</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Tree needleleaved deciduous (16)</td>
<td align="left" rowspan="1" colspan="1">64</td>
<td align="left" rowspan="1" colspan="1">6.88</td>
<td align="left" rowspan="1" colspan="1">0.57</td>
<td align="left" rowspan="1" colspan="1">88</td>
<td align="left" rowspan="1" colspan="1">32.98</td>
<td align="left" rowspan="1" colspan="1">0.20</td>
<td align="left" rowspan="1" colspan="1">12</td>
<td align="left" rowspan="1" colspan="1">6.08</td>
<td align="left" rowspan="1" colspan="1">0.01</td>
<td align="left" rowspan="1" colspan="1">129</td>
<td align="left" rowspan="1" colspan="1">10.09</td>
<td align="left" rowspan="1" colspan="1">0.09</td>
<td align="left" rowspan="1" colspan="1">248</td>
<td align="left" rowspan="1" colspan="1">19.37</td>
<td align="left" rowspan="1" colspan="1">0.10</td>
<td align="left" rowspan="1" colspan="1">155</td>
<td align="left" rowspan="1" colspan="1">1.83</td>
<td align="left" rowspan="1" colspan="1">0.15</td>
<td align="left" rowspan="1" colspan="1">37</td>
<td align="left" rowspan="1" colspan="1">1.80</td>
<td align="left" rowspan="1" colspan="1">0.13</td>
<td align="left" rowspan="1" colspan="1">11</td>
<td align="left" rowspan="1" colspan="1">6.90</td>
<td align="left" rowspan="1" colspan="1">0.20</td>
<td align="left" rowspan="1" colspan="1">12</td>
<td align="left" rowspan="1" colspan="1">0.06</td>
<td align="left" rowspan="1" colspan="1">0.18</td>
<td align="left" rowspan="1" colspan="1">13</td>
<td align="left" rowspan="1" colspan="1">4.17</td>
<td align="left" rowspan="1" colspan="1">0.17</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1"> Tree needleleaved evergreen (134)</td>
<td align="left" rowspan="1" colspan="1">889</td>
<td align="left" rowspan="1" colspan="1">13.77</td>
<td align="left" rowspan="1" colspan="1">0.63</td>
<td align="left" rowspan="1" colspan="1">882</td>
<td align="left" rowspan="1" colspan="1">27.20</td>
<td align="left" rowspan="1" colspan="1">0.30</td>
<td align="left" rowspan="1" colspan="1">63</td>
<td align="left" rowspan="1" colspan="1">39.71</td>
<td align="left" rowspan="1" colspan="1">0.21</td>
<td align="left" rowspan="1" colspan="1">1517</td>
<td align="left" rowspan="1" colspan="1">5.00</td>
<td align="left" rowspan="1" colspan="1">0.13</td>
<td align="left" rowspan="1" colspan="1">5558</td>
<td align="left" rowspan="1" colspan="1">12.09</td>
<td align="left" rowspan="1" colspan="1">0.10</td>
<td align="left" rowspan="1" colspan="1">3622</td>
<td align="left" rowspan="1" colspan="1">1.23</td>
<td align="left" rowspan="1" colspan="1">0.16</td>
<td align="left" rowspan="1" colspan="1">984</td>
<td align="left" rowspan="1" colspan="1">2.62</td>
<td align="left" rowspan="1" colspan="1">0.14</td>
<td align="left" rowspan="1" colspan="1">196</td>
<td align="left" rowspan="1" colspan="1">9.45</td>
<td align="left" rowspan="1" colspan="1">0.24</td>
<td align="left" rowspan="1" colspan="1">121</td>
<td align="left" rowspan="1" colspan="1">0.05</td>
<td align="left" rowspan="1" colspan="1">0.26</td>
<td align="left" rowspan="1" colspan="1">124</td>
<td align="left" rowspan="1" colspan="1">3.14</td>
<td align="left" rowspan="1" colspan="1">0.25</td>
</tr>
<tr>
<td align="left" colspan="31" rowspan="1">
<italic>Plant species (exemplary)</italic>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Carex bigelowii</italic>
</td>
<td align="left" rowspan="1" colspan="1">23</td>
<td align="left" rowspan="1" colspan="1">0.47</td>
<td align="left" rowspan="1" colspan="1">0.304</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">0.23</td>
<td align="left" rowspan="1" colspan="1">0.137</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">3.62</td>
<td align="left" rowspan="1" colspan="1">0.003</td>
<td align="left" rowspan="1" colspan="1">14</td>
<td align="left" rowspan="1" colspan="1">12.19</td>
<td align="left" rowspan="1" colspan="1">0.124</td>
<td align="left" rowspan="1" colspan="1">41</td>
<td align="left" rowspan="1" colspan="1">20.32</td>
<td align="left" rowspan="1" colspan="1">0.107</td>
<td align="left" rowspan="1" colspan="1">16</td>
<td align="left" rowspan="1" colspan="1">1.94</td>
<td align="left" rowspan="1" colspan="1">0.186</td>
<td align="left" rowspan="1" colspan="1">7</td>
<td align="left" rowspan="1" colspan="1">1.65</td>
<td align="left" rowspan="1" colspan="1">0.059</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">15.16</td>
<td align="left" rowspan="1" colspan="1">0.107</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">0.17</td>
<td align="left" rowspan="1" colspan="1">0.003</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">8.97</td>
<td align="left" rowspan="1" colspan="1">0.059</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Dactylis glomerata</italic>
</td>
<td align="left" rowspan="1" colspan="1">88</td>
<td align="left" rowspan="1" colspan="1">0.81</td>
<td align="left" rowspan="1" colspan="1">0.154</td>
<td align="left" rowspan="1" colspan="1">39</td>
<td align="left" rowspan="1" colspan="1">0.73</td>
<td align="left" rowspan="1" colspan="1">0.153</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">2.75</td>
<td align="left" rowspan="1" colspan="1">0.125</td>
<td align="left" rowspan="1" colspan="1">139</td>
<td align="left" rowspan="1" colspan="1">24.58</td>
<td align="left" rowspan="1" colspan="1">0.109</td>
<td align="left" rowspan="1" colspan="1">50</td>
<td align="left" rowspan="1" colspan="1">24.67</td>
<td align="left" rowspan="1" colspan="1">0.128</td>
<td align="left" rowspan="1" colspan="1">22</td>
<td align="left" rowspan="1" colspan="1">1.98</td>
<td align="left" rowspan="1" colspan="1">0.183</td>
<td align="left" rowspan="1" colspan="1">11</td>
<td align="left" rowspan="1" colspan="1">1.32</td>
<td align="left" rowspan="1" colspan="1">0.098</td>
<td align="left" rowspan="1" colspan="1">7</td>
<td align="left" rowspan="1" colspan="1">13.45</td>
<td align="left" rowspan="1" colspan="1">0.160</td>
<td align="left" rowspan="1" colspan="1">7</td>
<td align="left" rowspan="1" colspan="1">0.31</td>
<td align="left" rowspan="1" colspan="1">0.194</td>
<td align="left" rowspan="1" colspan="1">7</td>
<td align="left" rowspan="1" colspan="1">9.82</td>
<td align="left" rowspan="1" colspan="1">0.189</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Poa pratensis</italic>
</td>
<td align="left" rowspan="1" colspan="1">57</td>
<td align="left" rowspan="1" colspan="1">0.26</td>
<td align="left" rowspan="1" colspan="1">0.139</td>
<td align="left" rowspan="1" colspan="1">22</td>
<td align="left" rowspan="1" colspan="1">0.50</td>
<td align="left" rowspan="1" colspan="1">0.140</td>
<td align="left" rowspan="1" colspan="1">1</td>
<td align="left" rowspan="1" colspan="1">3.01</td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">169</td>
<td align="left" rowspan="1" colspan="1">23.96</td>
<td align="left" rowspan="1" colspan="1">0.131</td>
<td align="left" rowspan="1" colspan="1">63</td>
<td align="left" rowspan="1" colspan="1">17.36</td>
<td align="left" rowspan="1" colspan="1">0.172</td>
<td align="left" rowspan="1" colspan="1">11</td>
<td align="left" rowspan="1" colspan="1">2.28</td>
<td align="left" rowspan="1" colspan="1">0.178</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">1.19</td>
<td align="left" rowspan="1" colspan="1">0.184</td>
<td align="left" rowspan="1" colspan="1">8</td>
<td align="left" rowspan="1" colspan="1">13.75</td>
<td align="left" rowspan="1" colspan="1">0.200</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">0.17</td>
<td align="left" rowspan="1" colspan="1">0.187</td>
<td align="left" rowspan="1" colspan="1">8</td>
<td align="left" rowspan="1" colspan="1">10.10</td>
<td align="left" rowspan="1" colspan="1">0.170</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Trifolium pratense</italic>
</td>
<td align="left" rowspan="1" colspan="1">61</td>
<td align="left" rowspan="1" colspan="1">1.53</td>
<td align="left" rowspan="1" colspan="1">0.117</td>
<td align="left" rowspan="1" colspan="1">45</td>
<td align="left" rowspan="1" colspan="1">0.39</td>
<td align="left" rowspan="1" colspan="1">0.277</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">141</td>
<td align="left" rowspan="1" colspan="1">22.85</td>
<td align="left" rowspan="1" colspan="1">0.084</td>
<td align="left" rowspan="1" colspan="1">34</td>
<td align="left" rowspan="1" colspan="1">38.65</td>
<td align="left" rowspan="1" colspan="1">0.086</td>
<td align="left" rowspan="1" colspan="1">14</td>
<td align="left" rowspan="1" colspan="1">2.07</td>
<td align="left" rowspan="1" colspan="1">0.123</td>
<td align="left" rowspan="1" colspan="1">7</td>
<td align="left" rowspan="1" colspan="1">1.65</td>
<td align="left" rowspan="1" colspan="1">0.090</td>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="left" rowspan="1" colspan="1">16.94</td>
<td align="left" rowspan="1" colspan="1">0.061</td>
<td align="left" rowspan="1" colspan="1">4</td>
<td align="left" rowspan="1" colspan="1">0.43</td>
<td align="left" rowspan="1" colspan="1">0.116</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">10.99</td>
<td align="left" rowspan="1" colspan="1">0.113</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Prunus spinosa</italic>
</td>
<td align="left" rowspan="1" colspan="1">22</td>
<td align="left" rowspan="1" colspan="1">165.01</td>
<td align="left" rowspan="1" colspan="1">0.244</td>
<td align="left" rowspan="1" colspan="1">14</td>
<td align="left" rowspan="1" colspan="1">2.92</td>
<td align="left" rowspan="1" colspan="1">0.216</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">5.60</td>
<td align="left" rowspan="1" colspan="1">0.024</td>
<td align="left" rowspan="1" colspan="1">86</td>
<td align="left" rowspan="1" colspan="1">14.54</td>
<td align="left" rowspan="1" colspan="1">0.091</td>
<td align="left" rowspan="1" colspan="1">16</td>
<td align="left" rowspan="1" colspan="1">28.05</td>
<td align="left" rowspan="1" colspan="1">0.114</td>
<td align="left" rowspan="1" colspan="1">13</td>
<td align="left" rowspan="1" colspan="1">2.15</td>
<td align="left" rowspan="1" colspan="1">0.099</td>
<td align="left" rowspan="1" colspan="1">11</td>
<td align="left" rowspan="1" colspan="1">1.87</td>
<td align="left" rowspan="1" colspan="1">0.081</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">11.17</td>
<td align="left" rowspan="1" colspan="1">0.048</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">0.13</td>
<td align="left" rowspan="1" colspan="1">0.074</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">6.32</td>
<td align="left" rowspan="1" colspan="1">0.101</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Acacia doratoxylon</italic>
</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">15.40</td>
<td align="left" rowspan="1" colspan="1">0.000</td>
<td align="left" rowspan="1" colspan="1">7</td>
<td align="left" rowspan="1" colspan="1">6.09</td>
<td align="left" rowspan="1" colspan="1">0.268</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">19.80</td>
<td align="left" rowspan="1" colspan="1">0.003</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">4.57</td>
<td align="left" rowspan="1" colspan="1">0.000</td>
<td align="left" rowspan="1" colspan="1">7</td>
<td align="left" rowspan="1" colspan="1">20.37</td>
<td align="left" rowspan="1" colspan="1">0.012</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">0.83</td>
<td align="left" rowspan="1" colspan="1">0.003</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">4.38</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">14.51</td>
<td align="left" rowspan="1" colspan="1">0.002</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">0.07</td>
<td align="left" rowspan="1" colspan="1">0.003</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">3.34</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Phyllota phylicoides</italic>
</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">2.83</td>
<td align="left" rowspan="1" colspan="1">0.026</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">0.67</td>
<td align="left" rowspan="1" colspan="1">0.345</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">22.43</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">7.44</td>
<td align="left" rowspan="1" colspan="1">0.059</td>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="left" rowspan="1" colspan="1">12.94</td>
<td align="left" rowspan="1" colspan="1">0.025</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">1.49</td>
<td align="left" rowspan="1" colspan="1">0.002</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">8.35</td>
<td align="left" rowspan="1" colspan="1">0.003</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">0.05</td>
<td align="left" rowspan="1" colspan="1">0.003</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">4.87</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Pultenaea daphnoides</italic>
</td>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="left" rowspan="1" colspan="1">3.98</td>
<td align="left" rowspan="1" colspan="1">0.141</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">2.86</td>
<td align="left" rowspan="1" colspan="1">0.036</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">9.36</td>
<td align="left" rowspan="1" colspan="1">0.002</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">13.76</td>
<td align="left" rowspan="1" colspan="1">0.192</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">19.40</td>
<td align="left" rowspan="1" colspan="1">0.004</td>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="left" rowspan="1" colspan="1">0.35</td>
<td align="left" rowspan="1" colspan="1">0.013</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">1.83</td>
<td align="left" rowspan="1" colspan="1">0.003</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">9.58</td>
<td align="left" rowspan="1" colspan="1">0.002</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">0.10</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">5.06</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Lepechinia calycina</italic>
</td>
<td align="left" rowspan="1" colspan="1">4</td>
<td align="left" rowspan="1" colspan="1">12.35</td>
<td align="left" rowspan="1" colspan="1">0.186</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">2.79</td>
<td align="left" rowspan="1" colspan="1">0.174</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">4.39</td>
<td align="left" rowspan="1" colspan="1">0.003</td>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="left" rowspan="1" colspan="1">11.23</td>
<td align="left" rowspan="1" colspan="1">0.075</td>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="left" rowspan="1" colspan="1">18.38</td>
<td align="left" rowspan="1" colspan="1">0.139</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">1.20</td>
<td align="left" rowspan="1" colspan="1">0.000</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">1.48</td>
<td align="left" rowspan="1" colspan="1">0.153</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">12.56</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">0.13</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">6.91</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Leptospermum polygalifolium</italic>
</td>
<td align="left" rowspan="1" colspan="1">4</td>
<td align="left" rowspan="1" colspan="1">0.18</td>
<td align="left" rowspan="1" colspan="1">0.056</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">4.00</td>
<td align="left" rowspan="1" colspan="1">0.000</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">7.38</td>
<td align="left" rowspan="1" colspan="1">0.003</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">10.93</td>
<td align="left" rowspan="1" colspan="1">0.002</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">13.35</td>
<td align="left" rowspan="1" colspan="1">0.014</td>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="left" rowspan="1" colspan="1">0.49</td>
<td align="left" rowspan="1" colspan="1">0.048</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">1.20</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">8.56</td>
<td align="left" rowspan="1" colspan="1">0.002</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">0.11</td>
<td align="left" rowspan="1" colspan="1">0.000</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">7.62</td>
<td align="left" rowspan="1" colspan="1">0.024</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Banksia marginata</italic>
</td>
<td align="left" rowspan="1" colspan="1">7</td>
<td align="left" rowspan="1" colspan="1">8.51</td>
<td align="left" rowspan="1" colspan="1">0.073</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">5.45</td>
<td align="left" rowspan="1" colspan="1">0.326</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">36.36</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">11</td>
<td align="left" rowspan="1" colspan="1">5.72</td>
<td align="left" rowspan="1" colspan="1">0.072</td>
<td align="left" rowspan="1" colspan="1">11</td>
<td align="left" rowspan="1" colspan="1">8.30</td>
<td align="left" rowspan="1" colspan="1">0.050</td>
<td align="left" rowspan="1" colspan="1">4</td>
<td align="left" rowspan="1" colspan="1">0.34</td>
<td align="left" rowspan="1" colspan="1">0.051</td>
<td align="left" rowspan="1" colspan="1">8</td>
<td align="left" rowspan="1" colspan="1">1.41</td>
<td align="left" rowspan="1" colspan="1">0.032</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">19.52</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">0.10</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">12.76</td>
<td align="left" rowspan="1" colspan="1">0.000</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Grevillea buxifolia</italic>
</td>
<td align="left" rowspan="1" colspan="1">7</td>
<td align="left" rowspan="1" colspan="1">46.39</td>
<td align="left" rowspan="1" colspan="1">0.114</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">1.35</td>
<td align="left" rowspan="1" colspan="1">0.271</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">15.07</td>
<td align="left" rowspan="1" colspan="1">0.003</td>
<td align="left" rowspan="1" colspan="1">4</td>
<td align="left" rowspan="1" colspan="1">8.18</td>
<td align="left" rowspan="1" colspan="1">0.094</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">7.16</td>
<td align="left" rowspan="1" colspan="1">0.006</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">0.29</td>
<td align="left" rowspan="1" colspan="1">0.000</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">0.78</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">8.68</td>
<td align="left" rowspan="1" colspan="1">0.002</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">0.06</td>
<td align="left" rowspan="1" colspan="1">0.002</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">9.74</td>
<td align="left" rowspan="1" colspan="1">0.000</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Persoonia levis</italic>
</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">206.27</td>
<td align="left" rowspan="1" colspan="1">0.068</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">3.60</td>
<td align="left" rowspan="1" colspan="1">0.130</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">45.59</td>
<td align="left" rowspan="1" colspan="1">0.002</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">5.68</td>
<td align="left" rowspan="1" colspan="1">0.068</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">5.87</td>
<td align="left" rowspan="1" colspan="1">0.004</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">0.30</td>
<td align="left" rowspan="1" colspan="1">0.000</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">1.08</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">8.16</td>
<td align="left" rowspan="1" colspan="1">0.002</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">0.05</td>
<td align="left" rowspan="1" colspan="1">0.000</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">7.66</td>
<td align="left" rowspan="1" colspan="1">0.000</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Dodonaea viscosa</italic>
</td>
<td align="left" rowspan="1" colspan="1">28</td>
<td align="left" rowspan="1" colspan="1">6.89</td>
<td align="left" rowspan="1" colspan="1">0.189</td>
<td align="left" rowspan="1" colspan="1">26</td>
<td align="left" rowspan="1" colspan="1">2.63</td>
<td align="left" rowspan="1" colspan="1">0.320</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">9.29</td>
<td align="left" rowspan="1" colspan="1">0.054</td>
<td align="left" rowspan="1" colspan="1">18</td>
<td align="left" rowspan="1" colspan="1">6.61</td>
<td align="left" rowspan="1" colspan="1">0.107</td>
<td align="left" rowspan="1" colspan="1">19</td>
<td align="left" rowspan="1" colspan="1">19.23</td>
<td align="left" rowspan="1" colspan="1">0.058</td>
<td align="left" rowspan="1" colspan="1">16</td>
<td align="left" rowspan="1" colspan="1">1.20</td>
<td align="left" rowspan="1" colspan="1">0.099</td>
<td align="left" rowspan="1" colspan="1">9</td>
<td align="left" rowspan="1" colspan="1">2.61</td>
<td align="left" rowspan="1" colspan="1">0.071</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">11.64</td>
<td align="left" rowspan="1" colspan="1">0.051</td>
<td align="left" rowspan="1" colspan="1">1</td>
<td align="left" rowspan="1" colspan="1">0.09</td>
<td align="left" rowspan="1" colspan="1">0.000</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">4.53</td>
<td align="left" rowspan="1" colspan="1">0.046</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Pimelea linifolia</italic>
</td>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="left" rowspan="1" colspan="1">2.85</td>
<td align="left" rowspan="1" colspan="1">0.114</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">1.19</td>
<td align="left" rowspan="1" colspan="1">0.134</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">12.64</td>
<td align="left" rowspan="1" colspan="1">0.002</td>
<td align="left" rowspan="1" colspan="1">4</td>
<td align="left" rowspan="1" colspan="1">13.76</td>
<td align="left" rowspan="1" colspan="1">0.121</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">14.39</td>
<td align="left" rowspan="1" colspan="1">0.022</td>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="left" rowspan="1" colspan="1">0.50</td>
<td align="left" rowspan="1" colspan="1">0.034</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">0.85</td>
<td align="left" rowspan="1" colspan="1">0.003</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">7.91</td>
<td align="left" rowspan="1" colspan="1">0.002</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">0.11</td>
<td align="left" rowspan="1" colspan="1">0.002</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">8.57</td>
<td align="left" rowspan="1" colspan="1">0.030</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Quercus ilex</italic>
</td>
<td align="left" rowspan="1" colspan="1">7</td>
<td align="left" rowspan="1" colspan="1">2241.03</td>
<td align="left" rowspan="1" colspan="1">0.068</td>
<td align="left" rowspan="1" colspan="1">14</td>
<td align="left" rowspan="1" colspan="1">17.41</td>
<td align="left" rowspan="1" colspan="1">0.285</td>
<td align="left" rowspan="1" colspan="1">1</td>
<td align="left" rowspan="1" colspan="1">22.75</td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">283</td>
<td align="left" rowspan="1" colspan="1">6.24</td>
<td align="left" rowspan="1" colspan="1">0.109</td>
<td align="left" rowspan="1" colspan="1">449</td>
<td align="left" rowspan="1" colspan="1">14.00</td>
<td align="left" rowspan="1" colspan="1">0.070</td>
<td align="left" rowspan="1" colspan="1">297</td>
<td align="left" rowspan="1" colspan="1">0.88</td>
<td align="left" rowspan="1" colspan="1">0.129</td>
<td align="left" rowspan="1" colspan="1">30</td>
<td align="left" rowspan="1" colspan="1">1.89</td>
<td align="left" rowspan="1" colspan="1">0.129</td>
<td align="left" rowspan="1" colspan="1">20</td>
<td align="left" rowspan="1" colspan="1">7.24</td>
<td align="left" rowspan="1" colspan="1">0.181</td>
<td align="left" rowspan="1" colspan="1">18</td>
<td align="left" rowspan="1" colspan="1">0.05</td>
<td align="left" rowspan="1" colspan="1">0.110</td>
<td align="left" rowspan="1" colspan="1">11</td>
<td align="left" rowspan="1" colspan="1">2.68</td>
<td align="left" rowspan="1" colspan="1">0.209</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Quercus robur</italic>
</td>
<td align="left" rowspan="1" colspan="1">8</td>
<td align="left" rowspan="1" colspan="1">3219.44</td>
<td align="left" rowspan="1" colspan="1">0.155</td>
<td align="left" rowspan="1" colspan="1">33</td>
<td align="left" rowspan="1" colspan="1">26.48</td>
<td align="left" rowspan="1" colspan="1">0.233</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">6.01</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">103</td>
<td align="left" rowspan="1" colspan="1">14.07</td>
<td align="left" rowspan="1" colspan="1">0.090</td>
<td align="left" rowspan="1" colspan="1">227</td>
<td align="left" rowspan="1" colspan="1">23.35</td>
<td align="left" rowspan="1" colspan="1">0.097</td>
<td align="left" rowspan="1" colspan="1">190</td>
<td align="left" rowspan="1" colspan="1">1.78</td>
<td align="left" rowspan="1" colspan="1">0.151</td>
<td align="left" rowspan="1" colspan="1">48</td>
<td align="left" rowspan="1" colspan="1">1.67</td>
<td align="left" rowspan="1" colspan="1">0.153</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">7.40</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">0.08</td>
<td align="left" rowspan="1" colspan="1">0.010</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">5.57</td>
<td align="left" rowspan="1" colspan="1">0.035</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Fagus sylvatica</italic>
</td>
<td align="left" rowspan="1" colspan="1">16</td>
<td align="left" rowspan="1" colspan="1">194.92</td>
<td align="left" rowspan="1" colspan="1">0.120</td>
<td align="left" rowspan="1" colspan="1">23</td>
<td align="left" rowspan="1" colspan="1">30.96</td>
<td align="left" rowspan="1" colspan="1">0.189</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">6.01</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">273</td>
<td align="left" rowspan="1" colspan="1">15.39</td>
<td align="left" rowspan="1" colspan="1">0.161</td>
<td align="left" rowspan="1" colspan="1">260</td>
<td align="left" rowspan="1" colspan="1">22.61</td>
<td align="left" rowspan="1" colspan="1">0.078</td>
<td align="left" rowspan="1" colspan="1">148</td>
<td align="left" rowspan="1" colspan="1">1.42</td>
<td align="left" rowspan="1" colspan="1">0.108</td>
<td align="left" rowspan="1" colspan="1">205</td>
<td align="left" rowspan="1" colspan="1">1.21</td>
<td align="left" rowspan="1" colspan="1">0.149</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">5.18</td>
<td align="left" rowspan="1" colspan="1">0.160</td>
<td align="left" rowspan="1" colspan="1">10</td>
<td align="left" rowspan="1" colspan="1">0.08</td>
<td align="left" rowspan="1" colspan="1">0.190</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">6.77</td>
<td align="left" rowspan="1" colspan="1">0.010</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Simarouba amara</italic>
</td>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="left" rowspan="1" colspan="1">221.99</td>
<td align="left" rowspan="1" colspan="1">0.243</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">34.28</td>
<td align="left" rowspan="1" colspan="1">0.020</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">11.63</td>
<td align="left" rowspan="1" colspan="1">0.040</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">8.40</td>
<td align="left" rowspan="1" colspan="1">0.183</td>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="left" rowspan="1" colspan="1">20.08</td>
<td align="left" rowspan="1" colspan="1">0.109</td>
<td align="left" rowspan="1" colspan="1">4</td>
<td align="left" rowspan="1" colspan="1">0.73</td>
<td align="left" rowspan="1" colspan="1">0.094</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">2.30</td>
<td align="left" rowspan="1" colspan="1">0.132</td>
<td align="left" rowspan="1" colspan="1">1</td>
<td align="left" rowspan="1" colspan="1">13.84</td>
<td align="left" rowspan="1" colspan="1">0.000</td>
<td align="left" rowspan="1" colspan="1">1</td>
<td align="left" rowspan="1" colspan="1">0.08</td>
<td align="left" rowspan="1" colspan="1">0.000</td>
<td align="left" rowspan="1" colspan="1">1</td>
<td align="left" rowspan="1" colspan="1">4.52</td>
<td align="left" rowspan="1" colspan="1">0.000</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Synoum glandulosum</italic>
</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">197.77</td>
<td align="left" rowspan="1" colspan="1">0.126</td>
<td align="left" rowspan="1" colspan="1">10</td>
<td align="left" rowspan="1" colspan="1">3.80</td>
<td align="left" rowspan="1" colspan="1">0.307</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">11.75</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">10</td>
<td align="left" rowspan="1" colspan="1">11.68</td>
<td align="left" rowspan="1" colspan="1">0.065</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">16.22</td>
<td align="left" rowspan="1" colspan="1">0.014</td>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="left" rowspan="1" colspan="1">0.87</td>
<td align="left" rowspan="1" colspan="1">0.022</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">1.46</td>
<td align="left" rowspan="1" colspan="1">0.002</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">6.46</td>
<td align="left" rowspan="1" colspan="1">0.000</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">0.07</td>
<td align="left" rowspan="1" colspan="1">0.002</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">4.54</td>
<td align="left" rowspan="1" colspan="1">0.011</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Eucalyptus socialis</italic>
</td>
<td align="left" rowspan="1" colspan="1">4</td>
<td align="left" rowspan="1" colspan="1">0.81</td>
<td align="left" rowspan="1" colspan="1">0.031</td>
<td align="left" rowspan="1" colspan="1">7</td>
<td align="left" rowspan="1" colspan="1">6.94</td>
<td align="left" rowspan="1" colspan="1">0.186</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">28.78</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">3.49</td>
<td align="left" rowspan="1" colspan="1">0.012</td>
<td align="left" rowspan="1" colspan="1">15</td>
<td align="left" rowspan="1" colspan="1">10.83</td>
<td align="left" rowspan="1" colspan="1">0.059</td>
<td align="left" rowspan="1" colspan="1">14</td>
<td align="left" rowspan="1" colspan="1">0.54</td>
<td align="left" rowspan="1" colspan="1">0.096</td>
<td align="left" rowspan="1" colspan="1">9</td>
<td align="left" rowspan="1" colspan="1">3.67</td>
<td align="left" rowspan="1" colspan="1">0.024</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">16.23</td>
<td align="left" rowspan="1" colspan="1">0.000</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">0.05</td>
<td align="left" rowspan="1" colspan="1">0.000</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">4.45</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Brachychiton populneus</italic>
</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">108.17</td>
<td align="left" rowspan="1" colspan="1">0.217</td>
<td align="left" rowspan="1" colspan="1">8</td>
<td align="left" rowspan="1" colspan="1">7.76</td>
<td align="left" rowspan="1" colspan="1">0.221</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">13.21</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">8</td>
<td align="left" rowspan="1" colspan="1">8.70</td>
<td align="left" rowspan="1" colspan="1">0.070</td>
<td align="left" rowspan="1" colspan="1">11</td>
<td align="left" rowspan="1" colspan="1">16.99</td>
<td align="left" rowspan="1" colspan="1">0.045</td>
<td align="left" rowspan="1" colspan="1">10</td>
<td align="left" rowspan="1" colspan="1">0.91</td>
<td align="left" rowspan="1" colspan="1">0.040</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">2.13</td>
<td align="left" rowspan="1" colspan="1">0.046</td>
<td align="left" rowspan="1" colspan="1">4</td>
<td align="left" rowspan="1" colspan="1">8.49</td>
<td align="left" rowspan="1" colspan="1">0.070</td>
<td align="left" rowspan="1" colspan="1">4</td>
<td align="left" rowspan="1" colspan="1">0.06</td>
<td align="left" rowspan="1" colspan="1">0.103</td>
<td align="left" rowspan="1" colspan="1">4</td>
<td align="left" rowspan="1" colspan="1">3.85</td>
<td align="left" rowspan="1" colspan="1">0.044</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Larix decidua</italic>
</td>
<td align="left" rowspan="1" colspan="1">9</td>
<td align="left" rowspan="1" colspan="1">6.42</td>
<td align="left" rowspan="1" colspan="1">0.099</td>
<td align="left" rowspan="1" colspan="1">20</td>
<td align="left" rowspan="1" colspan="1">37.65</td>
<td align="left" rowspan="1" colspan="1">0.184</td>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="left" rowspan="1" colspan="1">6.01</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">90</td>
<td align="left" rowspan="1" colspan="1">9.73</td>
<td align="left" rowspan="1" colspan="1">0.063</td>
<td align="left" rowspan="1" colspan="1">89</td>
<td align="left" rowspan="1" colspan="1">19.81</td>
<td align="left" rowspan="1" colspan="1">0.072</td>
<td align="left" rowspan="1" colspan="1">76</td>
<td align="left" rowspan="1" colspan="1">1.79</td>
<td align="left" rowspan="1" colspan="1">0.156</td>
<td align="left" rowspan="1" colspan="1">12</td>
<td align="left" rowspan="1" colspan="1">2.10</td>
<td align="left" rowspan="1" colspan="1">0.112</td>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="left" rowspan="1" colspan="1">5.42</td>
<td align="left" rowspan="1" colspan="1">0.161</td>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="left" rowspan="1" colspan="1">0.06</td>
<td align="left" rowspan="1" colspan="1">0.212</td>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="left" rowspan="1" colspan="1">3.13</td>
<td align="left" rowspan="1" colspan="1">0.194</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Picea abies</italic>
</td>
<td align="left" rowspan="1" colspan="1">23</td>
<td align="left" rowspan="1" colspan="1">6.37</td>
<td align="left" rowspan="1" colspan="1">0.078</td>
<td align="left" rowspan="1" colspan="1">24</td>
<td align="left" rowspan="1" colspan="1">40.02</td>
<td align="left" rowspan="1" colspan="1">0.246</td>
<td align="left" rowspan="1" colspan="1">3</td>
<td align="left" rowspan="1" colspan="1">88.85</td>
<td align="left" rowspan="1" colspan="1">0.109</td>
<td align="left" rowspan="1" colspan="1">146</td>
<td align="left" rowspan="1" colspan="1">4.45</td>
<td align="left" rowspan="1" colspan="1">0.134</td>
<td align="left" rowspan="1" colspan="1">954</td>
<td align="left" rowspan="1" colspan="1">12.40</td>
<td align="left" rowspan="1" colspan="1">0.081</td>
<td align="left" rowspan="1" colspan="1">812</td>
<td align="left" rowspan="1" colspan="1">1.42</td>
<td align="left" rowspan="1" colspan="1">0.134</td>
<td align="left" rowspan="1" colspan="1">109</td>
<td align="left" rowspan="1" colspan="1">3.07</td>
<td align="left" rowspan="1" colspan="1">0.116</td>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="left" rowspan="1" colspan="1">7.67</td>
<td align="left" rowspan="1" colspan="1">0.071</td>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="left" rowspan="1" colspan="1">0.03</td>
<td align="left" rowspan="1" colspan="1">0.017</td>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="left" rowspan="1" colspan="1">2.07</td>
<td align="left" rowspan="1" colspan="1">0.117</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Pinus sylvestris</italic>
</td>
<td align="left" rowspan="1" colspan="1">29</td>
<td align="left" rowspan="1" colspan="1">7.32</td>
<td align="left" rowspan="1" colspan="1">0.133</td>
<td align="left" rowspan="1" colspan="1">31</td>
<td align="left" rowspan="1" colspan="1">25.38</td>
<td align="left" rowspan="1" colspan="1">0.244</td>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="left" rowspan="1" colspan="1">27.71</td>
<td align="left" rowspan="1" colspan="1">0.016</td>
<td align="left" rowspan="1" colspan="1">430</td>
<td align="left" rowspan="1" colspan="1">4.92</td>
<td align="left" rowspan="1" colspan="1">0.103</td>
<td align="left" rowspan="1" colspan="1">1422</td>
<td align="left" rowspan="1" colspan="1">13.06</td>
<td align="left" rowspan="1" colspan="1">0.088</td>
<td align="left" rowspan="1" colspan="1">1245</td>
<td align="left" rowspan="1" colspan="1">1.30</td>
<td align="left" rowspan="1" colspan="1">0.117</td>
<td align="left" rowspan="1" colspan="1">359</td>
<td align="left" rowspan="1" colspan="1">2.80</td>
<td align="left" rowspan="1" colspan="1">0.121</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">10.97</td>
<td align="left" rowspan="1" colspan="1">0.031</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">0.04</td>
<td align="left" rowspan="1" colspan="1">0.021</td>
<td align="left" rowspan="1" colspan="1">6</td>
<td align="left" rowspan="1" colspan="1">2.73</td>
<td align="left" rowspan="1" colspan="1">0.046</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<italic>Pseudotsuga menziesii</italic>
</td>
<td align="left" rowspan="1" colspan="1">25</td>
<td align="left" rowspan="1" colspan="1">11.36</td>
<td align="left" rowspan="1" colspan="1">0.054</td>
<td align="left" rowspan="1" colspan="1">29</td>
<td align="left" rowspan="1" colspan="1">61.79</td>
<td align="left" rowspan="1" colspan="1">0.184</td>
<td align="left" rowspan="1" colspan="1">2</td>
<td align="left" rowspan="1" colspan="1">64.68</td>
<td align="left" rowspan="1" colspan="1">0.001</td>
<td align="left" rowspan="1" colspan="1">10</td>
<td align="left" rowspan="1" colspan="1">6.30</td>
<td align="left" rowspan="1" colspan="1">0.153</td>
<td align="left" rowspan="1" colspan="1">105</td>
<td align="left" rowspan="1" colspan="1">12.29</td>
<td align="left" rowspan="1" colspan="1">0.079</td>
<td align="left" rowspan="1" colspan="1">82</td>
<td align="left" rowspan="1" colspan="1">1.69</td>
<td align="left" rowspan="1" colspan="1">0.138</td>
<td align="left" rowspan="1" colspan="1">5</td>
<td align="left" rowspan="1" colspan="1">1.58</td>
<td align="left" rowspan="1" colspan="1">0.135</td>
<td align="left" rowspan="1" colspan="1">35</td>
<td align="left" rowspan="1" colspan="1">9.12</td>
<td align="left" rowspan="1" colspan="1">0.158</td>
<td align="left" rowspan="1" colspan="1">4</td>
<td align="left" rowspan="1" colspan="1">0.03</td>
<td align="left" rowspan="1" colspan="1">0.104</td>
<td align="left" rowspan="1" colspan="1">4</td>
<td align="left" rowspan="1" colspan="1">2.99</td>
<td align="left" rowspan="1" colspan="1">0.091</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SD is based on log
<sub>10</sub>
-transformed trait data, after exclusion of duplicates and outliers, including data derived under experimental growth conditions. Numbers in brackets along with names of plant functional types characterize the numbers of species attributed to the respective PFT. Plant species were selected to provide examples from different functional types and with entries for each of the 10 traits.</p>
</fn>
<fn>
<p>SD, standard deviation within group; SD between, standard deviation between groups;
<italic>n</italic>
, number of entries; nsp,
<italic>n</italic>
/sp and
<italic>n</italic>
/PFT, number of species vs. number of mean number of entries per species and PFT, mean values, calculated as arithmetic mean on log-scale and retransformed to original scale, Sign.
<italic>P</italic>
, significance level for difference between means for PFTs and species; Traits, seed mass (mg); plant height, maximum plant height (m); LL, leaf lifespan (month); SLA, specific leaf area (mm
<sup>2</sup>
mg
<sup>−1</sup>
);
<italic>N</italic>
<sub>m</sub>
, leaf nitrogen content per dry mass (mg g
<sup>−1</sup>
);
<italic>P</italic>
<sub>m</sub>
, leaf phosphorus content per dry mass (mg g
<sup>−1</sup>
);
<italic>N</italic>
<sub>a</sub>
, leaf nitrogen content per area (g m
<sup>−2</sup>
),
<inline-formula>
<inline-graphic xlink:href="gcb0017-2905-mu10.jpg" mimetype="image"></inline-graphic>
</inline-formula>
, light saturated photosynthetic rate per leaf area (μmol m
<sup>−2</sup>
s
<sup>−1</sup>
);
<inline-formula>
<inline-graphic xlink:href="gcb0017-2905-mu11.jpg" mimetype="image"></inline-graphic>
</inline-formula>
, light saturated photosynthetic rate per dry mass (μmol g
<sup>−1</sup>
s
<sup>−1</sup>
),
<inline-formula>
<inline-graphic xlink:href="gcb0017-2905-mu12.jpg" mimetype="image"></inline-graphic>
</inline-formula>
, light saturated photosynthetic rate per leaf nitrogen content (μmol g
<sup>−1</sup>
s
<sup>−1</sup>
).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The evaluation of the two tenets of comparative ecology and vegetation modelling focuses on 10 traits that are central to leading dimensions of trait variation or that are physiologically relevant and closely related to parameters used in vegetation modelling (
<xref ref-type="bibr" rid="b232">Westoby
<italic>et al.</italic>
, 2002</xref>
;
<xref ref-type="bibr" rid="b247">Wright
<italic>et al.</italic>
, 2004</xref>
): plant height, seed mass, specific leaf area (one-sided leaf area per leaf dry mass,
<italic>SLA</italic>
), leaf longevity, leaf nitrogen content per leaf dry mass (
<italic>N</italic>
<sub>m</sub>
) and per leaf area (
<italic>N</italic>
<sub>a</sub>
), leaf phosphorus content per leaf dry mass (
<italic>P</italic>
<sub>m</sub>
) and maximum photosynthetic rate per leaf area (
<inline-formula>
<inline-graphic xlink:href="gcb0017-2905-mu16.jpg" mimetype="image"></inline-graphic>
</inline-formula>
), per leaf dry mass (
<inline-formula>
<inline-graphic xlink:href="gcb0017-2905-mu17.jpg" mimetype="image"></inline-graphic>
</inline-formula>
) and per leaf nitrogen content (
<inline-formula>
<inline-graphic xlink:href="gcb0017-2905-mu18.jpg" mimetype="image"></inline-graphic>
</inline-formula>
). As for the relevance of the 10 selected traits: plant height was considered relevant for vegetation carbon storage capacity; seed mass was considered relevant for plant regeneration strategy; leaf longevity was considered relevant for trade-off between leaf carbon investment and gain; SLA for links of light capture (area based) and plant growth (mass based); leaf N and P content: link of carbon and respective nutrient cycle; photosynthetic rates expressed per leaf area, dry mass and N content for links of carbon gain to light capture, growth and nutrient cycle. Although we realize the relevance of traits related to plant–water relations, we did not feel comfortable to include traits such as maximum stomatal conductance or leaf water potential into the analyses for the lack of sufficient coverage for a substantial number of species. For each of the 10 traits, we quantified variation across species and PFTs in three ways: (1) Differences between mean values of species and PFTs were tested, based on one-way
<sc>anova</sc>
. (2) Variation within species, in terms of standard deviation (SD), was compared with variation between species (same for PFTs). (3) The fraction of variance explained by species and PFT
<italic>R</italic>
<sup>2</sup>
was calculated as one minus the residual sum of squares divided by the total sum of squares.</p>
<p>We observed large variation in SD within species if the number of observations per species was small (see funnel plot in
<xref ref-type="supplementary-material" rid="SD1">Appendix S1</xref>
). With an increasing number of observations, SD within species approached an average, trait specific level. To avoid confounding effects due to cases with very few observations per species, only species with at least five trait entries were used in statistical analyses (with exception of leaf longevity, where two entries per species were taken as the minimum number because species with multiple entries were very rare). The number of measurements per PFT was sufficient in all cases. Statistical analyses were performed in
<sc>r</sc>
(
<xref ref-type="bibr" rid="b179">R Development Core Team, 2009</xref>
).</p>
</sec>
</sec>
<sec>
<title>Results</title>
<sec>
<title>Data coverage in the TRY database</title>
<p>As of March 31, 2011 the TRY data repository contains 2.88 million trait entries for 69 000 plant species, accompanied by 3.0 million ancillary data entries [not all data from the databases listed in
<xref ref-type="table" rid="tbl1">Table 1</xref>
and summarized in
<xref ref-type="table" rid="tbl2">Table 2</xref>
could be used in the subsequent analyses, because some recently contributed datasets were still being checked and cleaned in the data staging area (see
<xref ref-type="fig" rid="fig01">Fig. 1</xref>
)]. About 2.8 million of the trait entries have been measured in natural environment, <100 000 in experimental conditions (e.g. glasshouse, climate or open-top chambers). About 2.3 million trait entries are for quantitative traits, while 0.6 million entries are for qualitative traits (
<xref ref-type="table" rid="tbl2">Table 2</xref>
). Qualitative traits, like plant growth form, are often treated as distinct and invariant within species (even though in some cases they are more variable than studies suggest, e.g. flower colour or dispersal mode), and they are often used as covariates in analyses, as when comparing evergreen vs. deciduous (
<xref ref-type="bibr" rid="b246">Wright
<italic>et al.</italic>
, 2005</xref>
) or resprouting vs. nonresprouting plants (
<xref ref-type="bibr" rid="b162">Pausas
<italic>et al.</italic>
, 2004</xref>
). The qualitative traits with the highest species coverage in the TRY dataset are the five traits used for PFT classification and leaf compoundness: woodiness (44 000 species), plant growth form (40 000), leaf compoundness (35 000), leaf type (34 000), photosynthetic pathway (32 000) and leaf phenology type (16 000); followed by N-fixation capacity (11 000) and dispersal syndrome (10 000). Resprouting capacity is noted for 3000 species (Description of qualitative traits: Plant dispersal syndrome: dispersed by wind, water, animal; N-fixation capacity: able/not able to fix atmospheric
<italic>N</italic>
<sub>2</sub>
; leaf compoundness: simple versus compound, resprouting capacity: able/not able to resprout).</p>
<p>The quantitative traits with the highest species coverage are seed size (27 000 species), plant height (18 000), leaf size (17 000), wood density (12 000), SLA (9000), plant longevity (8000), leaf nitrogen content (7000) and leaf phosphorus content (5000). Leaf photosynthetic capacity is characterized for more than 2000 species. Some of these traits are represented by a substantial number of entries per species, e.g.
<italic>SLA</italic>
has on average 10 entries per species, leaf N, P and photosynthetic capacity have about eight resp. five entries per species, with a maximum of 1470 entries for leaf nitrogen per dry mass (
<italic>N</italic>
<sub>m</sub>
) for
<italic>Pinus sylvestris</italic>
.</p>
<p>About 40% of the trait entries (1.3 million) are georeferenced, allowing trait entries to be related to ancillary information from external databases such as climate, soil, or biome type. Although latitude and longitude are often recorded with high precision, the accuracy is unknown. The georeferenced entries are associated with 8502 individual measurement sites, with sites in 746 of the 4200 2 × 2° land grid cells of e.g. a typical climate model (
<xref ref-type="fig" rid="fig02">Fig. 2</xref>
). Europe has the highest density of measurements, and there is good coverage of some other regions, but there are obvious gaps in boreal regions, the tropics, northern and central Africa, parts of South America, southern and western Asia. In tropical South America, the sites fall in relatively few grid cells, but there are high numbers of entries per cell. This is an effect of systematic sampling efforts by long-term projects such as LBA (The Large Scale Biosphere-Atmosphere Experiment in Amazonia:
<ext-link ext-link-type="uri" xlink:href="http://www.lba.inpa.gov.br/lba">http://www.lba.inpa.gov.br/lba</ext-link>
) or RAINFOR (Amazon Forest Inventory Network:
<ext-link ext-link-type="uri" xlink:href="http://www.geog.leeds.ac.uk/projects/rainfor">http://www.geog.leeds.ac.uk/projects/rainfor</ext-link>
). For two individual traits, the spatial coverage is shown in
<xref ref-type="fig" rid="fig03">Fig. 3</xref>
. Here we additionally provide coverage in climate space, identifying biomes for which we lack data (e.g. temperate rainforests). More information about data coverage of individual traits is available on the website of the TRY initiative (
<ext-link ext-link-type="uri" xlink:href="http://www.try-db.org">http://www.try-db.org</ext-link>
).</p>
<fig id="fig02" position="float">
<label>Fig. 2</label>
<caption>
<p>Data density of georeferenced trait entries. Top, number of sites per 2 × 2° grid cell; bottom, number of trait entries per grid cell.</p>
</caption>
<graphic xlink:href="gcb0017-2905-f2"></graphic>
</fig>
<fig id="fig03" position="float">
<label>Fig. 3</label>
<caption>
<p>Data density for (a) specific leaf area (SLA) (1862 sites) and (b) leaf nitrogen content per dry mass (3458 sites), and data density in climate space: (c)
<italic>SLA</italic>
and (d) leaf nitrogen content per dry mass (
<italic>N</italic>
<sub>m</sub>
). Red: geo-referenced measurement sites in the TRY database; dark grey: distribution of entries in the GBIF database (Global Biodiversity Information Facility,
<ext-link ext-link-type="uri" xlink:href="http://www.gbif.org">http://www.gbif.org</ext-link>
) for species characterized by entries of SLA or leaf nitrogen content per dry mass in the TRY database; light grey: continental shape, respectively, all entries in the GBIF database in climate space. Mean annual temperature and mean annual precipitation are based on CRU gridded climate data (CRU: Climate Research Unit at the University of East Anglia, UK:
<ext-link ext-link-type="uri" xlink:href="http://www.cru.uea.ac.uk">http://www.cru.uea.ac.uk</ext-link>
). Climate space overlaid by major biome types of the world following
<xref ref-type="bibr" rid="b253">Whittaker
<italic>et al.</italic>
(1975)</xref>
: Tu, Tundra; BF, Boreal Forest; TeG, Temperate Grassland; TeDF, Temperate Deciduous Forest; TeRF, Temperate Rain Forest; TrDF, Tropical Deciduous Forest; TrRF, Tropical Rain Forest; Sa, Savanna; De, Desert. Biome boundaries are approximate.</p>
</caption>
<graphic xlink:href="gcb0017-2905-f3"></graphic>
</fig>
</sec>
<sec>
<title>General pattern of trait variation: test for normality</title>
<p>For 52 traits, the coverage of database entries was sufficient to quantify general pattern of density distributions in terms of skewness and kurtosis, and to apply the Jarque–Bera test for normality (
<xref ref-type="table" rid="tbl3">Table 3</xref>
). On the original scale all traits but one are positively skewed, indicating distributions tailed to high values. After log-transformation, the distributions of 20 traits are still positively skewed, while 32 traits show slightly negative skewness. For 49 of the 52 traits, the Jarque–Bera test indicates an improvement of normality by log-transformation of trait values – only for three traits normality was deteriorated (leaf phenolics, tannins and carbon content per dry mass;
<xref ref-type="table" rid="tbl3">Table 3</xref>
). The distribution of leaf phenolics and tannins content per dry mass is in between normal and log-normal: positively skewed on the original scale, negatively skewed on log-scale. Leaf carbon content per dry mass has a theoretical range from 0 to 1000 mg g
<sup>−1</sup>
. The mean value, about 476 mg g
<sup>−1</sup>
, is in the centre of the theoretical range, and the variation of trait values is small (
<xref ref-type="table" rid="tbl4">Table 4</xref>
).</p>
<table-wrap id="tbl3" position="float">
<label>Table 3</label>
<caption>
<p>Statistical properties for the density distributions of 52 traits with substantial coverage and a test for deviation from normality, on the original scale and after log-transformation of trait values</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" rowspan="3" colspan="1">Trait</th>
<th align="left" rowspan="3" colspan="1">Number of entries</th>
<th align="left" colspan="4" rowspan="1">Original scale</th>
<th align="left" colspan="4" rowspan="1">Logarithmic scale</th>
<th align="left" rowspan="3" colspan="1">Change of normality</th>
</tr>
<tr>
<th align="left" colspan="4" rowspan="1">
<hr></hr>
</th>
<th align="left" colspan="4" rowspan="1">
<hr></hr>
</th>
</tr>
<tr>
<th align="left" rowspan="1" colspan="1">Skewness</th>
<th align="left" rowspan="1" colspan="1">Kurtosis</th>
<th align="left" rowspan="1" colspan="1">JB test</th>
<th align="left" rowspan="1" colspan="1">
<italic>P</italic>
-value</th>
<th align="left" rowspan="1" colspan="1">Skewness</th>
<th align="left" rowspan="1" colspan="1">Kurtosis</th>
<th align="left" rowspan="1" colspan="1">JB test</th>
<th align="left" rowspan="1" colspan="1">
<italic>P</italic>
-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>Seed dry mass</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>53 744</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>123.02</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>19 457.16</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>8.E+11</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold><2.20E−16</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>0.53</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>0.42</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>2915</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold><2.20E−16</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>8.E+11</bold>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf dry mass</td>
<td align="left" rowspan="1" colspan="1">26 220</td>
<td align="left" rowspan="1" colspan="1">161.48</td>
<td align="left" rowspan="1" colspan="1">26 118.88</td>
<td align="left" rowspan="1" colspan="1">7.E+11</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">−0.45</td>
<td align="left" rowspan="1" colspan="1">0.90</td>
<td align="left" rowspan="1" colspan="1">1748</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">7.E+11</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf area</td>
<td align="left" rowspan="1" colspan="1">76 883</td>
<td align="left" rowspan="1" colspan="1">65.47</td>
<td align="left" rowspan="1" colspan="1">6990.13</td>
<td align="left" rowspan="1" colspan="1">2.E+11</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">−0.54</td>
<td align="left" rowspan="1" colspan="1">0.02</td>
<td align="left" rowspan="1" colspan="1">3798</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">2.E+11</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Conduit (vessel and tracheid) density</td>
<td align="left" rowspan="1" colspan="1">5454</td>
<td align="left" rowspan="1" colspan="1">68.93</td>
<td align="left" rowspan="1" colspan="1">4968.04</td>
<td align="left" rowspan="1" colspan="1">6.E+09</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">−0.03</td>
<td align="left" rowspan="1" colspan="1">−0.43</td>
<td align="left" rowspan="1" colspan="1">43</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">6.E+09</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf Fe content per dry mass</td>
<td align="left" rowspan="1" colspan="1">3128</td>
<td align="left" rowspan="1" colspan="1">31.84</td>
<td align="left" rowspan="1" colspan="1">1084.72</td>
<td align="left" rowspan="1" colspan="1">2.E+08</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">1.51</td>
<td align="left" rowspan="1" colspan="1">8.78</td>
<td align="left" rowspan="1" colspan="1">11 229</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">2.E+08</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Releasing height</td>
<td align="left" rowspan="1" colspan="1">19 668</td>
<td align="left" rowspan="1" colspan="1">13.86</td>
<td align="left" rowspan="1" colspan="1">292.85</td>
<td align="left" rowspan="1" colspan="1">7.E+07</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">0.70</td>
<td align="left" rowspan="1" colspan="1">2.33</td>
<td align="left" rowspan="1" colspan="1">6068</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">7.E+07</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf Mn content per dry mass</td>
<td align="left" rowspan="1" colspan="1">3273</td>
<td align="left" rowspan="1" colspan="1">12.04</td>
<td align="left" rowspan="1" colspan="1">222.70</td>
<td align="left" rowspan="1" colspan="1">6 842 757</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">−0.02</td>
<td align="left" rowspan="1" colspan="1">−0.51</td>
<td align="left" rowspan="1" colspan="1">35</td>
<td align="left" rowspan="1" colspan="1">2.41E−08</td>
<td align="left" rowspan="1" colspan="1">6 842 722</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Seed length</td>
<td align="left" rowspan="1" colspan="1">9336</td>
<td align="left" rowspan="1" colspan="1">7.41</td>
<td align="left" rowspan="1" colspan="1">89.35</td>
<td align="left" rowspan="1" colspan="1">3 191 250</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">0.31</td>
<td align="left" rowspan="1" colspan="1">0.47</td>
<td align="left" rowspan="1" colspan="1">239</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">3 191 011</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Whole leaf nitrogen content</td>
<td align="left" rowspan="1" colspan="1">1006</td>
<td align="left" rowspan="1" colspan="1">12.84</td>
<td align="left" rowspan="1" colspan="1">248.60</td>
<td align="left" rowspan="1" colspan="1">2 618 135</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">−0.53</td>
<td align="left" rowspan="1" colspan="1">0.08</td>
<td align="left" rowspan="1" colspan="1">48</td>
<td align="left" rowspan="1" colspan="1">4.06E−11</td>
<td align="left" rowspan="1" colspan="1">2 618 087</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf Na content per dry mass</td>
<td align="left" rowspan="1" colspan="1">3180</td>
<td align="left" rowspan="1" colspan="1">9.55</td>
<td align="left" rowspan="1" colspan="1">126.32</td>
<td align="left" rowspan="1" colspan="1">2 162 452</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">0.19</td>
<td align="left" rowspan="1" colspan="1">0.79</td>
<td align="left" rowspan="1" colspan="1">100</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">2 162 352</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>Specific leaf area (SLA)</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>4 8142</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>2.85</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>27.49</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>1 581 085</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold><2.20E−16</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>-0.54</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>1.06</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>4555</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold><2.20E−16</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>1 576 530</bold>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>Leaf phosphorus content per dry mass (P
<sub>m</sub>
)</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>17 920</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>3.58</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>42.89</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>1 412 132</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold><2.20E−16</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>−0.38</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>0.98</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>1155</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold><2.20E−16</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>1 410 977</bold>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf phosphorus content per area</td>
<td align="left" rowspan="1" colspan="1">5290</td>
<td align="left" rowspan="1" colspan="1">5.33</td>
<td align="left" rowspan="1" colspan="1">71.12</td>
<td align="left" rowspan="1" colspan="1">1 139 938</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">−0.04</td>
<td align="left" rowspan="1" colspan="1">0.75</td>
<td align="left" rowspan="1" colspan="1">125</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">1 139 813</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf Zn content per dry mass</td>
<td align="left" rowspan="1" colspan="1">3278</td>
<td align="left" rowspan="1" colspan="1">8.04</td>
<td align="left" rowspan="1" colspan="1">84.86</td>
<td align="left" rowspan="1" colspan="1">1 018 873</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">1.35</td>
<td align="left" rowspan="1" colspan="1">2.55</td>
<td align="left" rowspan="1" colspan="1">1880</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">1 016 993</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Maximum plant longevity</td>
<td align="left" rowspan="1" colspan="1">2006</td>
<td align="left" rowspan="1" colspan="1">7.31</td>
<td align="left" rowspan="1" colspan="1">97.69</td>
<td align="left" rowspan="1" colspan="1">815 546</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">−0.91</td>
<td align="left" rowspan="1" colspan="1">1.40</td>
<td align="left" rowspan="1" colspan="1">442</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">815 104</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>Leaf lifespan (longevity)</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>1654</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>7.26</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>91.59</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>592 617</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold><2.20E−16</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>0.31</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>−0.35</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>34</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>4.30E−08</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>592 583</bold>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Whole leaf phosphorus content</td>
<td align="left" rowspan="1" colspan="1">444</td>
<td align="left" rowspan="1" colspan="1">10.23</td>
<td align="left" rowspan="1" colspan="1">141.53</td>
<td align="left" rowspan="1" colspan="1">378 307</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">−0.27</td>
<td align="left" rowspan="1" colspan="1">−0.34</td>
<td align="left" rowspan="1" colspan="1">7</td>
<td align="left" rowspan="1" colspan="1">0.02529</td>
<td align="left" rowspan="1" colspan="1">378 299</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf K content per dry mass</td>
<td align="left" rowspan="1" colspan="1">4144</td>
<td align="left" rowspan="1" colspan="1">4.09</td>
<td align="left" rowspan="1" colspan="1">33.47</td>
<td align="left" rowspan="1" colspan="1">204 954</td>
<td align="left" rowspan="1" colspan="1"><2.20E−−16</td>
<td align="left" rowspan="1" colspan="1">0.09</td>
<td align="left" rowspan="1" colspan="1">0.33</td>
<td align="left" rowspan="1" colspan="1">24</td>
<td align="left" rowspan="1" colspan="1">6.64E−06</td>
<td align="left" rowspan="1" colspan="1">204 930</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf Al content per dry mass</td>
<td align="left" rowspan="1" colspan="1">3448</td>
<td align="left" rowspan="1" colspan="1">5.14</td>
<td align="left" rowspan="1" colspan="1">35.08</td>
<td align="left" rowspan="1" colspan="1">191 974</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">1.13</td>
<td align="left" rowspan="1" colspan="1">1.01</td>
<td align="left" rowspan="1" colspan="1">876</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">191 098</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf nitrogen/phosphorus (N/P) ratio</td>
<td align="left" rowspan="1" colspan="1">11 612</td>
<td align="left" rowspan="1" colspan="1">3.03</td>
<td align="left" rowspan="1" colspan="1">17.65</td>
<td align="left" rowspan="1" colspan="1">168 595</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">0.25</td>
<td align="left" rowspan="1" colspan="1">0.41</td>
<td align="left" rowspan="1" colspan="1">199</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">168 396</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Seed terminal velocity</td>
<td align="left" rowspan="1" colspan="1">1178</td>
<td align="left" rowspan="1" colspan="1">3.91</td>
<td align="left" rowspan="1" colspan="1">50.26</td>
<td align="left" rowspan="1" colspan="1">126 989</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">−0.45</td>
<td align="left" rowspan="1" colspan="1">−0.77</td>
<td align="left" rowspan="1" colspan="1">69</td>
<td align="left" rowspan="1" colspan="1">9.99E−16</td>
<td align="left" rowspan="1" colspan="1">126 920</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf mechanical resistance: tear resistance</td>
<td align="left" rowspan="1" colspan="1">758</td>
<td align="left" rowspan="1" colspan="1">6.53</td>
<td align="left" rowspan="1" colspan="1">59.82</td>
<td align="left" rowspan="1" colspan="1">118 402</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">0.86</td>
<td align="left" rowspan="1" colspan="1">1.11</td>
<td align="left" rowspan="1" colspan="1">132</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">118 270</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf thickness</td>
<td align="left" rowspan="1" colspan="1">2934</td>
<td align="left" rowspan="1" colspan="1">4.24</td>
<td align="left" rowspan="1" colspan="1">29.88</td>
<td align="left" rowspan="1" colspan="1">117 951</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">0.77</td>
<td align="left" rowspan="1" colspan="1">0.71</td>
<td align="left" rowspan="1" colspan="1">351</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">117 600</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>Maximum Plant height</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>28 248</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>2.35</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>6.99</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>83 464</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold><2.20E−16</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>0.11</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>−0.89</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>983</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold><2.20E−16</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>82 481</bold>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf respiration per dry mass</td>
<td align="left" rowspan="1" colspan="1">2234</td>
<td align="left" rowspan="1" colspan="1">4.28</td>
<td align="left" rowspan="1" colspan="1">24.65</td>
<td align="left" rowspan="1" colspan="1">63 393</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">0.29</td>
<td align="left" rowspan="1" colspan="1">0.62</td>
<td align="left" rowspan="1" colspan="1">66</td>
<td align="left" rowspan="1" colspan="1">4.77E−15</td>
<td align="left" rowspan="1" colspan="1">63 327</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Wood phosphorus content per dry mass</td>
<td align="left" rowspan="1" colspan="1">1056</td>
<td align="left" rowspan="1" colspan="1">4.93</td>
<td align="left" rowspan="1" colspan="1">35.87</td>
<td align="left" rowspan="1" colspan="1">60 888</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">0.71</td>
<td align="left" rowspan="1" colspan="1">0.31</td>
<td align="left" rowspan="1" colspan="1">94</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">60 794</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>Leaf nitrogen content per area (N
<sub>a</sub>
)</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>13 528</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>1.73</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>8.25</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>45 047</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold><2.20E−16</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>−0.27</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>0.34</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>224</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold><2.20E−16</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>44 823</bold>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf Mg content per dry mass</td>
<td align="left" rowspan="1" colspan="1">3485</td>
<td align="left" rowspan="1" colspan="1">2.55</td>
<td align="left" rowspan="1" colspan="1">15.68</td>
<td align="left" rowspan="1" colspan="1">39 460</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">−0.14</td>
<td align="left" rowspan="1" colspan="1">0.13</td>
<td align="left" rowspan="1" colspan="1">14</td>
<td align="left" rowspan="1" colspan="1">0.001098</td>
<td align="left" rowspan="1" colspan="1">39 446</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Conduit (vessel and tracheid) area</td>
<td align="left" rowspan="1" colspan="1">3050</td>
<td align="left" rowspan="1" colspan="1">3.31</td>
<td align="left" rowspan="1" colspan="1">15.89</td>
<td align="left" rowspan="1" colspan="1">37 636</td>
<td align="left" rowspan="1" colspan="1"><2.20E16</td>
<td align="left" rowspan="1" colspan="1">−0.24</td>
<td align="left" rowspan="1" colspan="1">−0.09</td>
<td align="left" rowspan="1" colspan="1">31</td>
<td align="left" rowspan="1" colspan="1">2.15E−07</td>
<td align="left" rowspan="1" colspan="1">37 605</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf S content per dry mass</td>
<td align="left" rowspan="1" colspan="1">1092</td>
<td align="left" rowspan="1" colspan="1">4.60</td>
<td align="left" rowspan="1" colspan="1">24.78</td>
<td align="left" rowspan="1" colspan="1">31 788</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">1.45</td>
<td align="left" rowspan="1" colspan="1">4.21</td>
<td align="left" rowspan="1" colspan="1">1189</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">30 600</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf Ca content per dry mass</td>
<td align="left" rowspan="1" colspan="1">3755</td>
<td align="left" rowspan="1" colspan="1">2.11</td>
<td align="left" rowspan="1" colspan="1">10.09</td>
<td align="left" rowspan="1" colspan="1">18 721</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">−0.83</td>
<td align="left" rowspan="1" colspan="1">1.19</td>
<td align="left" rowspan="1" colspan="1">656</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">18 065</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>Leaf nitrogen content per dry mass (N
<sub>m</sub>
)</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>35 862</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>1.21</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>2.33</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>16 905</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold><2.20E−16</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>−0.22</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>−0.38</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>407</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold><2.20E−16</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>16 498</bold>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Vessel diameter</td>
<td align="left" rowspan="1" colspan="1">3209</td>
<td align="left" rowspan="1" colspan="1">2.61</td>
<td align="left" rowspan="1" colspan="1">9.61</td>
<td align="left" rowspan="1" colspan="1">15 977</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">0.27</td>
<td align="left" rowspan="1" colspan="1">−0.35</td>
<td align="left" rowspan="1" colspan="1">54</td>
<td align="left" rowspan="1" colspan="1">1.83E−12</td>
<td align="left" rowspan="1" colspan="1">15 923</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Conduit lumen area per sapwood area</td>
<td align="left" rowspan="1" colspan="1">2280</td>
<td align="left" rowspan="1" colspan="1">2.41</td>
<td align="left" rowspan="1" colspan="1">9.75</td>
<td align="left" rowspan="1" colspan="1">11 243</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">−0.37</td>
<td align="left" rowspan="1" colspan="1">0.97</td>
<td align="left" rowspan="1" colspan="1">140</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">11 102</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Canopy height observed</td>
<td align="left" rowspan="1" colspan="1">40 510</td>
<td align="left" rowspan="1" colspan="1">1.25</td>
<td align="left" rowspan="1" colspan="1">1.04</td>
<td align="left" rowspan="1" colspan="1">12 416</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">−0.15</td>
<td align="left" rowspan="1" colspan="1">−1.22</td>
<td align="left" rowspan="1" colspan="1">2654</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">9762</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf dry matter content (LDMC)</td>
<td align="left" rowspan="1" colspan="1">17 339</td>
<td align="left" rowspan="1" colspan="1">1.10</td>
<td align="left" rowspan="1" colspan="1">2.68</td>
<td align="left" rowspan="1" colspan="1">8693</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">−0.46</td>
<td align="left" rowspan="1" colspan="1">0.85</td>
<td align="left" rowspan="1" colspan="1">1141</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">7551</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf respiration per dry mass at 25°C</td>
<td align="left" rowspan="1" colspan="1">1448</td>
<td align="left" rowspan="1" colspan="1">2.70</td>
<td align="left" rowspan="1" colspan="1">9.24</td>
<td align="left" rowspan="1" colspan="1">6907</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">0.49</td>
<td align="left" rowspan="1" colspan="1">0.63</td>
<td align="left" rowspan="1" colspan="1">82</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">6825</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Stomatal conductance per leaf area</td>
<td align="left" rowspan="1" colspan="1">1093</td>
<td align="left" rowspan="1" colspan="1">2.39</td>
<td align="left" rowspan="1" colspan="1">10.69</td>
<td align="left" rowspan="1" colspan="1">6250</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">−0.73</td>
<td align="left" rowspan="1" colspan="1">1.27</td>
<td align="left" rowspan="1" colspan="1">171</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">6079</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>Photosynthesis per leaf dry mass (</bold>
<inline-formula>
<inline-graphic xlink:href="gcb0017-2905-mu1.jpg" mimetype="image"></inline-graphic>
</inline-formula>
<bold>)</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>2549</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>2.09</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>6.01</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>5699</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold><2.20E−16</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>−0.36</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>0.13</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>58</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>2.85E−13</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>5642</bold>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf Si content per dry mass</td>
<td align="left" rowspan="1" colspan="1">1057</td>
<td align="left" rowspan="1" colspan="1">2.35</td>
<td align="left" rowspan="1" colspan="1">9.82</td>
<td align="left" rowspan="1" colspan="1">5219</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">−0.54</td>
<td align="left" rowspan="1" colspan="1">0.84</td>
<td align="left" rowspan="1" colspan="1">82</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">5137</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Vessel element length</td>
<td align="left" rowspan="1" colspan="1">3048</td>
<td align="left" rowspan="1" colspan="1">1.63</td>
<td align="left" rowspan="1" colspan="1">5.12</td>
<td align="left" rowspan="1" colspan="1">4668</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">−0.28</td>
<td align="left" rowspan="1" colspan="1">0.35</td>
<td align="left" rowspan="1" colspan="1">55</td>
<td align="left" rowspan="1" colspan="1">9.89E−13</td>
<td align="left" rowspan="1" colspan="1">4613</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Wood nitrogen content per dry mass</td>
<td align="left" rowspan="1" colspan="1">1259</td>
<td align="left" rowspan="1" colspan="1">2.22</td>
<td align="left" rowspan="1" colspan="1">8.24</td>
<td align="left" rowspan="1" colspan="1">4591</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">0.33</td>
<td align="left" rowspan="1" colspan="1">0.15</td>
<td align="left" rowspan="1" colspan="1">24</td>
<td align="left" rowspan="1" colspan="1">5.93E−06</td>
<td align="left" rowspan="1" colspan="1">4567</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>Photosynthesis per leaf area (</bold>
<inline-formula>
<inline-graphic xlink:href="gcb0017-2905-mu2.jpg" mimetype="image"></inline-graphic>
</inline-formula>
<bold>)</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>3062</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>1.49</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>3.20</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>2436</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold><2.20E−16</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>−0.63</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>1.32</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>422</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold><2.20E−16</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>2014</bold>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf K content per area</td>
<td align="left" rowspan="1" colspan="1">240</td>
<td align="left" rowspan="1" colspan="1">3.12</td>
<td align="left" rowspan="1" colspan="1">12.28</td>
<td align="left" rowspan="1" colspan="1">1898</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">0.37</td>
<td align="left" rowspan="1" colspan="1">0.55</td>
<td align="left" rowspan="1" colspan="1">9</td>
<td align="left" rowspan="1" colspan="1">0.01393</td>
<td align="left" rowspan="1" colspan="1">1890</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf carbon/nitrogen (C/N) ratio</td>
<td align="left" rowspan="1" colspan="1">2615</td>
<td align="left" rowspan="1" colspan="1">0.95</td>
<td align="left" rowspan="1" colspan="1">1.99</td>
<td align="left" rowspan="1" colspan="1">824</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">−0.12</td>
<td align="left" rowspan="1" colspan="1">−0.18</td>
<td align="left" rowspan="1" colspan="1">10</td>
<td align="left" rowspan="1" colspan="1">0.008102</td>
<td align="left" rowspan="1" colspan="1">815</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Wood density</td>
<td align="left" rowspan="1" colspan="1">26 414</td>
<td align="left" rowspan="1" colspan="1">0.44</td>
<td align="left" rowspan="1" colspan="1">−0.15</td>
<td align="left" rowspan="1" colspan="1">887</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">−0.17</td>
<td align="left" rowspan="1" colspan="1">−0.40</td>
<td align="left" rowspan="1" colspan="1">298</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">589</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf density</td>
<td align="left" rowspan="1" colspan="1">1463</td>
<td align="left" rowspan="1" colspan="1">1.01</td>
<td align="left" rowspan="1" colspan="1">2.59</td>
<td align="left" rowspan="1" colspan="1">655</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">−0.56</td>
<td align="left" rowspan="1" colspan="1">0.79</td>
<td align="left" rowspan="1" colspan="1">115</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">540</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Root nitrogen content per dry mass</td>
<td align="left" rowspan="1" colspan="1">1263</td>
<td align="left" rowspan="1" colspan="1">1.33</td>
<td align="left" rowspan="1" colspan="1">1.35</td>
<td align="left" rowspan="1" colspan="1">466</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">−0.05</td>
<td align="left" rowspan="1" colspan="1">−0.54</td>
<td align="left" rowspan="1" colspan="1">16</td>
<td align="left" rowspan="1" colspan="1">0.0003217</td>
<td align="left" rowspan="1" colspan="1">450</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf respiration per area</td>
<td align="left" rowspan="1" colspan="1">1303</td>
<td align="left" rowspan="1" colspan="1">1.22</td>
<td align="left" rowspan="1" colspan="1">2.00</td>
<td align="left" rowspan="1" colspan="1">542</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">−0.79</td>
<td align="left" rowspan="1" colspan="1">1.80</td>
<td align="left" rowspan="1" colspan="1">312</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">230</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf phenolics content per dry mass</td>
<td align="left" rowspan="1" colspan="1">471</td>
<td align="left" rowspan="1" colspan="1">0.52</td>
<td align="left" rowspan="1" colspan="1">0.21</td>
<td align="left" rowspan="1" colspan="1">22</td>
<td align="left" rowspan="1" colspan="1">1.90E−05</td>
<td align="left" rowspan="1" colspan="1">−1.16</td>
<td align="left" rowspan="1" colspan="1">1.41</td>
<td align="left" rowspan="1" colspan="1">144</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">−123</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf carbon content per dry mass</td>
<td align="left" rowspan="1" colspan="1">8140</td>
<td align="left" rowspan="1" colspan="1">−0.07</td>
<td align="left" rowspan="1" colspan="1">0.03</td>
<td align="left" rowspan="1" colspan="1">7</td>
<td align="left" rowspan="1" colspan="1">2.67E−02</td>
<td align="left" rowspan="1" colspan="1">−0.32</td>
<td align="left" rowspan="1" colspan="1">0.08</td>
<td align="left" rowspan="1" colspan="1">144</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">−137</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf tannins content per dry mass</td>
<td align="left" rowspan="1" colspan="1">409</td>
<td align="left" rowspan="1" colspan="1">1.40</td>
<td align="left" rowspan="1" colspan="1">2.87</td>
<td align="left" rowspan="1" colspan="1">274</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">−2.10</td>
<td align="left" rowspan="1" colspan="1">6.89</td>
<td align="left" rowspan="1" colspan="1">1109</td>
<td align="left" rowspan="1" colspan="1"><2.20E−16</td>
<td align="left" rowspan="1" colspan="1">−835</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>Average</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">
<bold>12.25</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>1165.87</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">
<bold>−0.05</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>0.83</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>RMSE</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">
<bold>2.44</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>13.37</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1">
<bold>0.29</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>0.40</bold>
</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Results based on dataset after excluding obvious errors, but before detection of outliers. Skewness, measure of the asymmetry of the density distribution (0 in case of normal distribution; <0, left-tailed distribution; >0, right-tailed distribution); Kurtosis, measure of the ‘peakedness’ of the density distribution (here presented as excess kurtosis: 0, in case of normal distribution; <0, wider peak around the mean; >0, a more acute peak around the mean); JB test, result of Jarque–Bera test for departure from normality (0 for normal distribution; >0 for deviation from normal distribution);
<italic>P</italic>
-value, probability of obtaining a test statistic at least as extreme as the observed, assuming the null hypothesis, here the data are normal distributed, is true (on the original scale, resp. after log-transformation, >0.5 in case of normality accepted at 95% confidence); change of normality, difference between results of Jarque–Bera test on the original scale and after log-transformation of trait data (>0, improvement of normality by log-transformation; <0, deterioration of normality by log-transformation); RMSE, root mean squared error; bold: traits for which we quantified the fraction of variance explained by species and PFT.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tbl4" position="float">
<label>Table 4</label>
<caption>
<p>Mean values and ranges for 52 traits with substantial coverage, based on individual trait entries, after exclusion of outliers and duplicates</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" rowspan="1" colspan="1">Trait</th>
<th align="left" rowspan="1" colspan="1">Number of entries</th>
<th align="left" rowspan="1" colspan="1">Unit</th>
<th align="left" rowspan="1" colspan="1">Mean value</th>
<th align="left" rowspan="1" colspan="1">SD
<sub>lg</sub>
</th>
<th align="left" rowspan="1" colspan="1">2.5% Quantile</th>
<th align="left" rowspan="1" colspan="1">Median</th>
<th align="left" rowspan="1" colspan="1">97.5% Quantile</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>Seed dry mass</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>49 837</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>mg</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>2.38</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>1.08</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>0.02</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>1.95</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>526</bold>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Canopy height observed</td>
<td align="left" rowspan="1" colspan="1">37 516</td>
<td align="left" rowspan="1" colspan="1">m</td>
<td align="left" rowspan="1" colspan="1">1.62</td>
<td align="left" rowspan="1" colspan="1">0.92</td>
<td align="left" rowspan="1" colspan="1">0.04</td>
<td align="left" rowspan="1" colspan="1">1.5</td>
<td align="left" rowspan="1" colspan="1">30</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Whole leaf phosphorus content</td>
<td align="left" rowspan="1" colspan="1">426</td>
<td align="left" rowspan="1" colspan="1">mg</td>
<td align="left" rowspan="1" colspan="1">0.0685</td>
<td align="left" rowspan="1" colspan="1">0.83</td>
<td align="left" rowspan="1" colspan="1">0.0018</td>
<td align="left" rowspan="1" colspan="1">0.08</td>
<td align="left" rowspan="1" colspan="1">1.96</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf area</td>
<td align="left" rowspan="1" colspan="1">71 929</td>
<td align="left" rowspan="1" colspan="1">mm
<sup>2</sup>
</td>
<td align="left" rowspan="1" colspan="1">1404.0</td>
<td align="left" rowspan="1" colspan="1">0.81</td>
<td align="left" rowspan="1" colspan="1">25</td>
<td align="left" rowspan="1" colspan="1">2025</td>
<td align="left" rowspan="1" colspan="1">36 400</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>Maximum plant height</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>26 625</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>m</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>1.84</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>0.78</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>0.1</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>1.25</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>40</bold>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf dry mass</td>
<td align="left" rowspan="1" colspan="1">24 663</td>
<td align="left" rowspan="1" colspan="1">mg</td>
<td align="left" rowspan="1" colspan="1">38.9</td>
<td align="left" rowspan="1" colspan="1">0.78</td>
<td align="left" rowspan="1" colspan="1">0.96</td>
<td align="left" rowspan="1" colspan="1">43.5</td>
<td align="left" rowspan="1" colspan="1">1063.9</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Whole leaf nitrogen content</td>
<td align="left" rowspan="1" colspan="1">961</td>
<td align="left" rowspan="1" colspan="1">mg</td>
<td align="left" rowspan="1" colspan="1">1.31</td>
<td align="left" rowspan="1" colspan="1">0.77</td>
<td align="left" rowspan="1" colspan="1">0.03</td>
<td align="left" rowspan="1" colspan="1">1.69</td>
<td align="left" rowspan="1" colspan="1">27.6</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Conduit (vessel and tracheid) area</td>
<td align="left" rowspan="1" colspan="1">2974</td>
<td align="left" rowspan="1" colspan="1">mm
<sup>2</sup>
</td>
<td align="left" rowspan="1" colspan="1">0.00349</td>
<td align="left" rowspan="1" colspan="1">0.63</td>
<td align="left" rowspan="1" colspan="1">0.00024</td>
<td align="left" rowspan="1" colspan="1">0.0032</td>
<td align="left" rowspan="1" colspan="1">0.04</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf Mn content per dry mass</td>
<td align="left" rowspan="1" colspan="1">3159</td>
<td align="left" rowspan="1" colspan="1">mg g
<sup>−1</sup>
</td>
<td align="left" rowspan="1" colspan="1">0.189</td>
<td align="left" rowspan="1" colspan="1">0.58</td>
<td align="left" rowspan="1" colspan="1">0.01</td>
<td align="left" rowspan="1" colspan="1">0.19</td>
<td align="left" rowspan="1" colspan="1">2.13</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Maximum plant longevity</td>
<td align="left" rowspan="1" colspan="1">1854</td>
<td align="left" rowspan="1" colspan="1">year</td>
<td align="left" rowspan="1" colspan="1">155.8</td>
<td align="left" rowspan="1" colspan="1">0.55</td>
<td align="left" rowspan="1" colspan="1">6.22</td>
<td align="left" rowspan="1" colspan="1">175</td>
<td align="left" rowspan="1" colspan="1">1200</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf Al content per dry mass</td>
<td align="left" rowspan="1" colspan="1">3203</td>
<td align="left" rowspan="1" colspan="1">mg g
<sup>−1</sup>
</td>
<td align="left" rowspan="1" colspan="1">0.128</td>
<td align="left" rowspan="1" colspan="1">0.55</td>
<td align="left" rowspan="1" colspan="1">0.02</td>
<td align="left" rowspan="1" colspan="1">0.1</td>
<td align="left" rowspan="1" colspan="1">4.49</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf Na content per dry mass</td>
<td align="left" rowspan="1" colspan="1">3086</td>
<td align="left" rowspan="1" colspan="1">mg g
<sup>−1</sup>
</td>
<td align="left" rowspan="1" colspan="1">0.200</td>
<td align="left" rowspan="1" colspan="1">0.55</td>
<td align="left" rowspan="1" colspan="1">0.01</td>
<td align="left" rowspan="1" colspan="1">0.2</td>
<td align="left" rowspan="1" colspan="1">3.24</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Conduit (vessel and tracheid) density</td>
<td align="left" rowspan="1" colspan="1">5301</td>
<td align="left" rowspan="1" colspan="1">mm
<sup>−2</sup>
</td>
<td align="left" rowspan="1" colspan="1">37.6</td>
<td align="left" rowspan="1" colspan="1">0.54</td>
<td align="left" rowspan="1" colspan="1">4</td>
<td align="left" rowspan="1" colspan="1">38</td>
<td align="left" rowspan="1" colspan="1">380</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Seed terminal velocity</td>
<td align="left" rowspan="1" colspan="1">1108</td>
<td align="left" rowspan="1" colspan="1">m s
<sup>−1</sup>
</td>
<td align="left" rowspan="1" colspan="1">1.08</td>
<td align="left" rowspan="1" colspan="1">0.42</td>
<td align="left" rowspan="1" colspan="1">0.17</td>
<td align="left" rowspan="1" colspan="1">1.4</td>
<td align="left" rowspan="1" colspan="1">4.69</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Releasing height</td>
<td align="left" rowspan="1" colspan="1">18 472</td>
<td align="left" rowspan="1" colspan="1">m</td>
<td align="left" rowspan="1" colspan="1">0.347</td>
<td align="left" rowspan="1" colspan="1">0.42</td>
<td align="left" rowspan="1" colspan="1">0.05</td>
<td align="left" rowspan="1" colspan="1">0.35</td>
<td align="left" rowspan="1" colspan="1">2</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>Leaf lifespan (longevity)</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>1540</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>month</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>9.40</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>0.41</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>2</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>8.5</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>60</bold>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf tannins content per dry mass
<xref ref-type="table-fn" rid="tf4-1">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">394</td>
<td align="left" rowspan="1" colspan="1">%</td>
<td align="left" rowspan="1" colspan="1">2.01</td>
<td align="left" rowspan="1" colspan="1">0.41</td>
<td align="left" rowspan="1" colspan="1">0.19</td>
<td align="left" rowspan="1" colspan="1">2.35</td>
<td align="left" rowspan="1" colspan="1">8.04</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Wood phosphorus content per dry mass</td>
<td align="left" rowspan="1" colspan="1">1016</td>
<td align="left" rowspan="1" colspan="1">mg g
<sup>−1</sup>
</td>
<td align="left" rowspan="1" colspan="1">0.0769</td>
<td align="left" rowspan="1" colspan="1">0.37</td>
<td align="left" rowspan="1" colspan="1">0.02</td>
<td align="left" rowspan="1" colspan="1">0.05</td>
<td align="left" rowspan="1" colspan="1">0.56</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf respiration per dry mass</td>
<td align="left" rowspan="1" colspan="1">2005</td>
<td align="left" rowspan="1" colspan="1">μmol g
<sup>−1</sup>
s
<sup>−1</sup>
</td>
<td align="left" rowspan="1" colspan="1">0.0097</td>
<td align="left" rowspan="1" colspan="1">0.36</td>
<td align="left" rowspan="1" colspan="1">0.0025</td>
<td align="left" rowspan="1" colspan="1">0.0097</td>
<td align="left" rowspan="1" colspan="1">0.04</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Seed length</td>
<td align="left" rowspan="1" colspan="1">8770</td>
<td align="left" rowspan="1" colspan="1">mm</td>
<td align="left" rowspan="1" colspan="1">1.80</td>
<td align="left" rowspan="1" colspan="1">0.34</td>
<td align="left" rowspan="1" colspan="1">0.4</td>
<td align="left" rowspan="1" colspan="1">1.8</td>
<td align="left" rowspan="1" colspan="1">9</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>Photosynthesis per leaf dry mass (</bold>
<inline-formula>
<inline-graphic xlink:href="gcb0017-2905-mu3.jpg" mimetype="image"></inline-graphic>
</inline-formula>
<bold>)</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>2384</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>μmol g
<sup>−1</sup>
s
<sup>−1</sup>
</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>0.115</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>0.34</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>0.02</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>0.12</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>0.49</bold>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf mechanical resistance: tear resistance</td>
<td align="left" rowspan="1" colspan="1">722</td>
<td align="left" rowspan="1" colspan="1">N mm
<sup>−1</sup>
</td>
<td align="left" rowspan="1" colspan="1">0.814</td>
<td align="left" rowspan="1" colspan="1">0.34</td>
<td align="left" rowspan="1" colspan="1">0.19</td>
<td align="left" rowspan="1" colspan="1">0.76</td>
<td align="left" rowspan="1" colspan="1">5.11</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf Ca content per dry mass</td>
<td align="left" rowspan="1" colspan="1">3594</td>
<td align="left" rowspan="1" colspan="1">mg g
<sup>−1</sup>
</td>
<td align="left" rowspan="1" colspan="1">9.05</td>
<td align="left" rowspan="1" colspan="1">0.34</td>
<td align="left" rowspan="1" colspan="1">1.57</td>
<td align="left" rowspan="1" colspan="1">9.83</td>
<td align="left" rowspan="1" colspan="1">34.7</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Vessel diameter</td>
<td align="left" rowspan="1" colspan="1">3102</td>
<td align="left" rowspan="1" colspan="1">μm</td>
<td align="left" rowspan="1" colspan="1">51.4</td>
<td align="left" rowspan="1" colspan="1">0.32</td>
<td align="left" rowspan="1" colspan="1">15</td>
<td align="left" rowspan="1" colspan="1">50</td>
<td align="left" rowspan="1" colspan="1">220</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Stomatal conductance per leaf area</td>
<td align="left" rowspan="1" colspan="1">1032</td>
<td align="left" rowspan="1" colspan="1">mmol m
<sup>−1</sup>
s
<sup>−1</sup>
</td>
<td align="left" rowspan="1" colspan="1">241.0</td>
<td align="left" rowspan="1" colspan="1">0.31</td>
<td align="left" rowspan="1" colspan="1">52.4</td>
<td align="left" rowspan="1" colspan="1">243.7</td>
<td align="left" rowspan="1" colspan="1">895.7</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Root nitrogen content per dry mass</td>
<td align="left" rowspan="1" colspan="1">1158</td>
<td align="left" rowspan="1" colspan="1">mg g
<sup>−1</sup>
</td>
<td align="left" rowspan="1" colspan="1">9.67</td>
<td align="left" rowspan="1" colspan="1">0.31</td>
<td align="left" rowspan="1" colspan="1">2.6</td>
<td align="left" rowspan="1" colspan="1">9.3</td>
<td align="left" rowspan="1" colspan="1">36.1</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf Si content per dry mass</td>
<td align="left" rowspan="1" colspan="1">1027</td>
<td align="left" rowspan="1" colspan="1">mg g
<sup>−1</sup>
</td>
<td align="left" rowspan="1" colspan="1">0.163</td>
<td align="left" rowspan="1" colspan="1">0.29</td>
<td align="left" rowspan="1" colspan="1">0.04</td>
<td align="left" rowspan="1" colspan="1">0.17</td>
<td align="left" rowspan="1" colspan="1">0.53</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf Zn content per dry mass</td>
<td align="left" rowspan="1" colspan="1">3080</td>
<td align="left" rowspan="1" colspan="1">mg g
<sup>−1</sup>
</td>
<td align="left" rowspan="1" colspan="1">0.0226</td>
<td align="left" rowspan="1" colspan="1">0.28</td>
<td align="left" rowspan="1" colspan="1">0.0065</td>
<td align="left" rowspan="1" colspan="1">0.02</td>
<td align="left" rowspan="1" colspan="1">0.1</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf respiration per dry mass at 25°C</td>
<td align="left" rowspan="1" colspan="1">1305</td>
<td align="left" rowspan="1" colspan="1">μmol g
<sup>−1</sup>
s
<sup>−1</sup>
</td>
<td align="left" rowspan="1" colspan="1">0.0092</td>
<td align="left" rowspan="1" colspan="1">0.28</td>
<td align="left" rowspan="1" colspan="1">0.0035</td>
<td align="left" rowspan="1" colspan="1">0.0082</td>
<td align="left" rowspan="1" colspan="1">0.03</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf K content per dry mass</td>
<td align="left" rowspan="1" colspan="1">3993</td>
<td align="left" rowspan="1" colspan="1">mg g
<sup>−1</sup>
</td>
<td align="left" rowspan="1" colspan="1">8.44</td>
<td align="left" rowspan="1" colspan="1">0.27</td>
<td align="left" rowspan="1" colspan="1">2.56</td>
<td align="left" rowspan="1" colspan="1">8.3</td>
<td align="left" rowspan="1" colspan="1">28.2</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>Photosynthesis per leaf N content (</bold>
<inline-formula>
<inline-graphic xlink:href="gcb0017-2905-mu4.jpg" mimetype="image"></inline-graphic>
</inline-formula>
<bold>)</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>3074</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>μmol g
<sup>−1</sup>
s
<sup>−1</sup>
</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>10.8</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>0.27</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>1.59</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>6.32</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>19.2</bold>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf phenolics content per dry mass
<xref ref-type="table-fn" rid="tf4-1">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">454</td>
<td align="left" rowspan="1" colspan="1">%</td>
<td align="left" rowspan="1" colspan="1">12.1</td>
<td align="left" rowspan="1" colspan="1">0.26</td>
<td align="left" rowspan="1" colspan="1">2.43</td>
<td align="left" rowspan="1" colspan="1">11.9</td>
<td align="left" rowspan="1" colspan="1">25.1</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>Specific leaf area (SLA)</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>45 733</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>mm
<sup>2</sup>
mg
<sup>−1</sup>
</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>16.6</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>0.26</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>4.5</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>17.4</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>47.7</bold>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf K content per area</td>
<td align="left" rowspan="1" colspan="1">231</td>
<td align="left" rowspan="1" colspan="1">g m
<sup>−2</sup>
</td>
<td align="left" rowspan="1" colspan="1">0.760</td>
<td align="left" rowspan="1" colspan="1">0.26</td>
<td align="left" rowspan="1" colspan="1">0.24</td>
<td align="left" rowspan="1" colspan="1">0.72</td>
<td align="left" rowspan="1" colspan="1">2.60</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf Mg content per dry mass</td>
<td align="left" rowspan="1" colspan="1">3360</td>
<td align="left" rowspan="1" colspan="1">mg g
<sup>−1</sup>
</td>
<td align="left" rowspan="1" colspan="1">2.61</td>
<td align="left" rowspan="1" colspan="1">0.25</td>
<td align="left" rowspan="1" colspan="1">0.83</td>
<td align="left" rowspan="1" colspan="1">2.64</td>
<td align="left" rowspan="1" colspan="1">8.0</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf Fe content per dry mass</td>
<td align="left" rowspan="1" colspan="1">3040</td>
<td align="left" rowspan="1" colspan="1">mg g
<sup>−1</sup>
</td>
<td align="left" rowspan="1" colspan="1">0.077</td>
<td align="left" rowspan="1" colspan="1">0.25</td>
<td align="left" rowspan="1" colspan="1">0.02</td>
<td align="left" rowspan="1" colspan="1">0.07</td>
<td align="left" rowspan="1" colspan="1">0.26</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>Photosynthesis per leaf area (</bold>
<inline-formula>
<inline-graphic xlink:href="gcb0017-2905-mu5.jpg" mimetype="image"></inline-graphic>
</inline-formula>
<bold>)</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>2883</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>μmol m
<sup>−2</sup>
s
<sup>−1</sup>
</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>10.3</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>0.24</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>3.28</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>10.5</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>29</bold>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf respiration per area</td>
<td align="left" rowspan="1" colspan="1">1201</td>
<td align="left" rowspan="1" colspan="1">μmol m
<sup>−2</sup>
s
<sup>−1</sup>
</td>
<td align="left" rowspan="1" colspan="1">1.19</td>
<td align="left" rowspan="1" colspan="1">0.24</td>
<td align="left" rowspan="1" colspan="1">0.38</td>
<td align="left" rowspan="1" colspan="1">1.2</td>
<td align="left" rowspan="1" colspan="1">3.4</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>Leaf phosphorus content per dry mass (P
<sub>m</sub>
)</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>17 057</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>mg g
<sup>−1</sup>
</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>1.23</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>0.24</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>0.40</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>1.25</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>3.51</bold>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf thickness</td>
<td align="left" rowspan="1" colspan="1">2815</td>
<td align="left" rowspan="1" colspan="1">mm</td>
<td align="left" rowspan="1" colspan="1">0.211</td>
<td align="left" rowspan="1" colspan="1">0.24</td>
<td align="left" rowspan="1" colspan="1">0.08</td>
<td align="left" rowspan="1" colspan="1">0.19</td>
<td align="left" rowspan="1" colspan="1">0.7</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Conduit lumen area per sapwood area</td>
<td align="left" rowspan="1" colspan="1">2210</td>
<td align="left" rowspan="1" colspan="1">mm
<sup>2</sup>
mm
<sup>−2</sup>
</td>
<td align="left" rowspan="1" colspan="1">0.137</td>
<td align="left" rowspan="1" colspan="1">0.23</td>
<td align="left" rowspan="1" colspan="1">0.04</td>
<td align="left" rowspan="1" colspan="1">0.14</td>
<td align="left" rowspan="1" colspan="1">0.37</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf phosphorus content per area</td>
<td align="left" rowspan="1" colspan="1">5083</td>
<td align="left" rowspan="1" colspan="1">g m
<sup>−2</sup>
</td>
<td align="left" rowspan="1" colspan="1">0.104</td>
<td align="left" rowspan="1" colspan="1">0.23</td>
<td align="left" rowspan="1" colspan="1">0.03</td>
<td align="left" rowspan="1" colspan="1">0.1</td>
<td align="left" rowspan="1" colspan="1">0.28</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Vessel element length</td>
<td align="left" rowspan="1" colspan="1">2964</td>
<td align="left" rowspan="1" colspan="1">μm</td>
<td align="left" rowspan="1" colspan="1">549.5</td>
<td align="left" rowspan="1" colspan="1">0.21</td>
<td align="left" rowspan="1" colspan="1">200</td>
<td align="left" rowspan="1" colspan="1">555</td>
<td align="left" rowspan="1" colspan="1">1350</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf nitrogen/phosphorus (N/P) ratio</td>
<td align="left" rowspan="1" colspan="1">11 200</td>
<td align="left" rowspan="1" colspan="1">g g
<sup>−1</sup>
</td>
<td align="left" rowspan="1" colspan="1">12.8</td>
<td align="left" rowspan="1" colspan="1">0.21</td>
<td align="left" rowspan="1" colspan="1">5.33</td>
<td align="left" rowspan="1" colspan="1">12.6</td>
<td align="left" rowspan="1" colspan="1">33.2</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>Leaf nitrogen content per area (N
<sub>a</sub>
)</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>12 860</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>g m
<sup>−2</sup>
</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>1.59</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>0.19</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>0.64</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>1.63</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>3.6</bold>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Wood nitrogen content per dry mass</td>
<td align="left" rowspan="1" colspan="1">1210</td>
<td align="left" rowspan="1" colspan="1">mg g
<sup>−1</sup>
</td>
<td align="left" rowspan="1" colspan="1">1.20</td>
<td align="left" rowspan="1" colspan="1">0.19</td>
<td align="left" rowspan="1" colspan="1">0.55</td>
<td align="left" rowspan="1" colspan="1">1.21</td>
<td align="left" rowspan="1" colspan="1">2.95</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf S content per dry mass</td>
<td align="left" rowspan="1" colspan="1">1023</td>
<td align="left" rowspan="1" colspan="1">mg g
<sup>−1</sup>
</td>
<td align="left" rowspan="1" colspan="1">1.66</td>
<td align="left" rowspan="1" colspan="1">0.18</td>
<td align="left" rowspan="1" colspan="1">0.78</td>
<td align="left" rowspan="1" colspan="1">1.59</td>
<td align="left" rowspan="1" colspan="1">4.75</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">
<bold>Leaf nitrogen content per dry mass (N
<sub>m</sub>
)</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>33 880</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>mg g
<sup>−1</sup>
</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>17.4</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>0.18</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>7.99</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>17.4</bold>
</td>
<td align="left" rowspan="1" colspan="1">
<bold>38.5</bold>
</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf dry matter content (LDMC)</td>
<td align="left" rowspan="1" colspan="1">16 185</td>
<td align="left" rowspan="1" colspan="1">g g
<sup>−1</sup>
</td>
<td align="left" rowspan="1" colspan="1">0.213</td>
<td align="left" rowspan="1" colspan="1">0.17</td>
<td align="left" rowspan="1" colspan="1">0.1</td>
<td align="left" rowspan="1" colspan="1">0.21</td>
<td align="left" rowspan="1" colspan="1">0.42</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf density</td>
<td align="left" rowspan="1" colspan="1">1372</td>
<td align="left" rowspan="1" colspan="1">g cm
<sup>−3</sup>
</td>
<td align="left" rowspan="1" colspan="1">0.426</td>
<td align="left" rowspan="1" colspan="1">0.15</td>
<td align="left" rowspan="1" colspan="1">0.2</td>
<td align="left" rowspan="1" colspan="1">0.43</td>
<td align="left" rowspan="1" colspan="1">0.77</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf carbon/nitrogen (C/N) ratio</td>
<td align="left" rowspan="1" colspan="1">2498</td>
<td align="left" rowspan="1" colspan="1">g g
<sup>−1</sup>
</td>
<td align="left" rowspan="1" colspan="1">23.4</td>
<td align="left" rowspan="1" colspan="1">0.14</td>
<td align="left" rowspan="1" colspan="1">12.39</td>
<td align="left" rowspan="1" colspan="1">23.5</td>
<td align="left" rowspan="1" colspan="1">42.2</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Wood density</td>
<td align="left" rowspan="1" colspan="1">26 391</td>
<td align="left" rowspan="1" colspan="1">mg mm
<sup>−3</sup>
</td>
<td align="left" rowspan="1" colspan="1">0.597</td>
<td align="left" rowspan="1" colspan="1">0.12</td>
<td align="left" rowspan="1" colspan="1">0.33</td>
<td align="left" rowspan="1" colspan="1">0.6</td>
<td align="left" rowspan="1" colspan="1">0.95</td>
</tr>
<tr>
<td align="left" rowspan="1" colspan="1">Leaf carbon content per dry mass
<xref ref-type="table-fn" rid="tf4-1">*</xref>
</td>
<td align="left" rowspan="1" colspan="1">7856</td>
<td align="left" rowspan="1" colspan="1">mg g
<sup>−1</sup>
</td>
<td align="left" rowspan="1" colspan="1">476.1</td>
<td align="left" rowspan="1" colspan="1">0.03</td>
<td align="left" rowspan="1" colspan="1">404.5</td>
<td align="left" rowspan="1" colspan="1">476.3</td>
<td align="left" rowspan="1" colspan="1">540.8</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tf4-1">
<label>*</label>
<p>Mean values for leaf phenolics, tannins and carbon content were calculated on the original scale, the SD is, provided on log-scale, for comparability.</p>
</fn>
<fn>
<p>Values for
<inline-formula>
<inline-graphic xlink:href="gcb0017-2905-mu6.jpg" mimetype="image"></inline-graphic>
</inline-formula>
were calculated based on database entries for
<italic>A</italic>
<sub>max</sub>
and leaf N content per area, resp. dry mass. Mean values have been calculated as arithmetic means on a logarithmic scale and retransformed to original scale. SD, standard deviation on log
<sub>10</sub>
-scale. Traits are sorted by decreasing SD. Bold: traits for which we quantified the fraction of variance explained by species and PFT (cf.
<xref ref-type="table" rid="tbl5">Table 5</xref>
,
<xref ref-type="fig" rid="fig05">Fig. 5</xref>
).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Nevertheless, according to the Jarque–Bera test, also on a logarithmic scale all traits show some degree of deviation from normal distributions (indicated by small
<italic>P</italic>
-values,
<xref ref-type="table" rid="tbl3">Table 3</xref>
). Seed mass, for example, is still positively skewed after log-transformation (
<xref ref-type="table" rid="tbl3">Table 3</xref>
). This is due to substantial differences in the number of database entries and seed masses between grasses/herbs, shrubs and trees (
<xref ref-type="fig" rid="fig04">Fig. 4a</xref>
). Maximum plant height in the TRY database has a strong negative kurtosis after log-transformation (
<xref ref-type="table" rid="tbl3">Table 3</xref>
). This is due to a bimodal distribution: one peak for herbs/grass and one for trees (
<xref ref-type="fig" rid="fig04">Fig. 4b</xref>
). The number of height entries for shrubs is comparatively small – which may be due to a small number or abundance of shrub species
<italic>in situ</italic>
(i.e. a real pattern) but is more likely due to a relative ‘undersampling’ of shrubs (i.e. an artefact of data collection). Within the growth forms herbs/grass and shrubs, height distribution is approximately log-normal. For trees the distribution is skewed to low values, because there are mechanical constrictions to grow taller than 100 m. The distribution of
<italic>SLA</italic>
after log-transformation is negatively skewed with positive kurtosis (
<xref ref-type="table" rid="tbl3">Table 3</xref>
) – an imprint of needle-leaved trees and shrubs besides the majority of broadleaved plants (
<xref ref-type="fig" rid="fig04">Fig. 4c</xref>
). The distribution of leaf nitrogen content per dry mass after log-transformation has small skewness, but negative kurtosis (
<xref ref-type="table" rid="tbl3">Table 3</xref>
) – the data are less concentrated around the mean than normal (
<xref ref-type="fig" rid="fig04">Fig. 4d</xref>
). In several cases, sample size is sufficient to characterize the distribution at different levels of aggregation, down to the species level. Again we find approximately log-normal distributions (e.g.
<italic>SLA</italic>
and
<italic>N</italic>
<sub>m</sub>
for
<italic>Pinus sylvestris</italic>
;
<xref ref-type="fig" rid="fig04">Fig. 4c and d</xref>
).</p>
<fig id="fig04" position="float">
<label>Fig. 4</label>
<caption>
<p>Examples of trait frequency distributions for four ecologically relevant traits (
<xref ref-type="bibr" rid="b231">Westoby, 1998</xref>
;
<xref ref-type="bibr" rid="b247">Wright
<italic>et al.</italic>
, 2004</xref>
). Upper panels: (a) seed mass and (b) plant height for all data and three major plant growth forms (white, all database entries; light grey, herbs/grasses; dark grey, trees; black, shrubs). Rug-plots provide data ranges hidden by overlapping histograms. Lower panels: (c) Specific leaf area (
<italic>SLA</italic>
) and (d) leaf nitrogen content per dry mass [
<italic>N</italic>
<sub>m</sub>
, white, all database entries excluding outliers (including experimental conditions); light grey, database entries from natural environment (excluding experimental conditions); medium grey, growth form trees; dark grey, PFT needle-leaved evergreen; black,
<italic>Pinus sylvestris</italic>
].</p>
</caption>
<graphic xlink:href="gcb0017-2905-f4"></graphic>
</fig>
</sec>
<sec>
<title>Ranges of trait variation</title>
<p>There are large differences in variation across traits (
<xref ref-type="table" rid="tbl4">Table 4</xref>
). The standard deviation (SD) expressed on a logarithmic scale ranges from 0.03 for leaf carbon content per dry mass (resp. about 8% on the original scale) to 1.08 for seed mass (resp. −95% and +1100% on the original scale). Note two characteristics of SD on the logarithmic scale: (1) it corresponds to an asymmetric distribution on the original scale: small range to low values, large range to high values; (2) it can be compared directly across traits. For more information, see supporting information
<xref ref-type="supplementary-material" rid="SD1">Appendix S2</xref>
. Leaf carbon content per dry mass, stem density and leaf density show the lowest variation, followed by the concentration of macronutrients (nitrogen, phosphorus), fluxes and conductance (photosynthesis, stomatal conductance, respiration), the concentration of micronutrients (e.g. aluminium, manganese, sodium), traits related to length (plant height, plant and leaf longevity), and traits related to leaf area. Mass-related traits show the highest variation (seed mass, leaf dry mass, N and P content of the whole leaf – in contrast to concentration per leaf dry mass or per leaf area). The observations reveal a general tendency towards higher variation with increasing trait dimensionality (length <xref ref-type="supplementary-material" rid="SD1">Appendix S3</xref>
).</p>
</sec>
<sec>
<title>Tenet 1: Aggregation at the species level represents the major fraction of trait variation</title>
<p>There is substantial intraspecific variation for each of the 10 selected traits (
<xref ref-type="table" rid="tbl5">Table 5</xref>
): for single species the standard deviation is above 0.3 on logarithmic scale, e.g. SD=0.34 for maximum plant height of
<italic>Phyllota phyllicoides</italic>
(−55% and +121% on the original scale), but based on only six observations and SD=0.32 in case of
<italic>Dodonaea viscosa</italic>
(
<italic>n</italic>
=26). The SD of
<italic>N</italic>
<sub>m</sub>
for
<italic>Poa pratensis</italic>
is 0.17 (
<italic>n</italic>
=63), which is almost equal to the range of all data reported for this trait, but this is an exceptional case. The trait and species with the most observations is nitrogen content per dry mass for
<italic>Pinus sylvestris</italic>
with 1470 entries (SD=0.088, −18% and +22%). The variation in this species spans almost half the overall variation observed for this trait (SD=0.18), covering the overall mean (
<xref ref-type="fig" rid="fig04">Fig. 4d</xref>
). For several trait-species combinations, the number of measurements is high enough for detailed analyses of the variation within species (e.g. on an environmental gradient).</p>
<p>The mean SD at the species-level is highest for plant height (0.18) and lowest for leaf longevity (0.03, but few observations per species,
<xref ref-type="table" rid="tbl5">Table 5</xref>
). For all ten traits the mean SD within species is smaller than the SD between species mean values (
<xref ref-type="table" rid="tbl5">Table 5</xref>
). Based on
<sc>anova</sc>
, mean trait values are significantly different between species: at the global scale 60–98% of trait variance occurs interspecific (between species,
<xref ref-type="fig" rid="fig05">Fig. 5</xref>
). Nevertheless, for three traits (
<italic>P</italic>
<sub>m</sub>
,
<italic>N</italic>
<sub>a</sub>
,
<inline-formula>
<inline-graphic xlink:href="gcb0017-2905-mu19.jpg" mimetype="image"></inline-graphic>
</inline-formula>
) almost 40% of the variance occurs intraspecific (within species,
<xref ref-type="fig" rid="fig05">Fig. 5</xref>
).</p>
<fig id="fig05" position="float">
<label>Fig. 5</label>
<caption>
<p>Fraction of variance explained by plant functional type (PFT) or species for 10 relevant and well-covered traits.
<italic>R</italic>
<sup>2</sup>
, fraction of explained variance; Traits:
<italic>Seed mass</italic>
, seed dry mass;
<italic>Plant height</italic>
, maximum plant height;
<italic>LL</italic>
, leaf longevity;
<italic>SLA</italic>
, specific leaf area;
<italic>N</italic>
<sub>m</sub>
, leaf nitrogen content per dry mass;
<italic>P</italic>
<sub>m</sub>
, leaf phosphorus content per dry mass;
<italic>N</italic>
<sub>a</sub>
, leaf nitrogen content per area;
<inline-formula>
<inline-graphic xlink:href="gcb0017-2905-mu13.jpg" mimetype="image"></inline-graphic>
</inline-formula>
, maximum photosynthesis rate per leaf area;
<inline-formula>
<inline-graphic xlink:href="gcb0017-2905-mu14.jpg" mimetype="image"></inline-graphic>
</inline-formula>
, maximum photosynthesis rate per leaf dry mass;
<inline-formula>
<inline-graphic xlink:href="gcb0017-2905-mu15.jpg" mimetype="image"></inline-graphic>
</inline-formula>
, maximum photosynthesis rate per leaf nitrogen content.</p>
</caption>
<graphic xlink:href="gcb0017-2905-f5"></graphic>
</fig>
</sec>
<sec>
<title>Tenet 2: Basic PFTs capture a sufficiently important fraction of trait variation to represent functional diversity</title>
<p>For all 10 traits, the PFT mean values are significantly different between PFTs (
<xref ref-type="table" rid="tbl5">Table 5</xref>
). Four traits show larger variation between PFT mean values than within PFTs (plant height, seed mass, leaf longevity,
<inline-formula>
<inline-graphic xlink:href="gcb0017-2905-mu20.jpg" mimetype="image"></inline-graphic>
</inline-formula>
), two traits show similar variation between PFT means and within PFTs (
<italic>SLA</italic>
,
<inline-formula>
<inline-graphic xlink:href="gcb0017-2905-mu21.jpg" mimetype="image"></inline-graphic>
</inline-formula>
). As a consequence, more than 60% of the observed variance occurs between PFTs for plant height and leaf longevity, and about 40% of the variation occurs between PFTs for seed mass,
<italic>SLA</italic>
,
<inline-formula>
<inline-graphic xlink:href="gcb0017-2905-mu22.jpg" mimetype="image"></inline-graphic>
</inline-formula>
and
<inline-formula>
<inline-graphic xlink:href="gcb0017-2905-mu23.jpg" mimetype="image"></inline-graphic>
</inline-formula>
(
<xref ref-type="fig" rid="fig05">Fig. 5</xref>
). The high fraction of explained variance for these six traits reflects the definition of PFTs based on the closely related qualitative traits: plant growth form, leaf phenology (evergreen/deciduous), leaf type (needle-leaved/broadleaved) and photosynthetic pathway (C3/C4). For theses traits, PFTs such as those commonly used in vegetation models, capture a considerable fraction of observed variation with relevant internal consistency. However, for certain traits the majority of variation occurs within PFTs: four traits show smaller variation between than within PFTs, causing substantial overlap across PFTs (
<italic>N</italic>
<sub>m</sub>
,
<italic>N</italic>
<sub>a</sub>
,
<italic>P</italic>
<sub>m</sub>
,
<inline-formula>
<inline-graphic xlink:href="gcb0017-2905-mu24.jpg" mimetype="image"></inline-graphic>
</inline-formula>
). In these cases only about 20–30% of the variance is explained by PFT, and about 70–80% of variation occurs within PFTs.</p>
</sec>
<sec>
<title>Representation of trait variation in the context of global vegetation models</title>
<p>To demonstrate how the observed trait variation is represented in global vegetation models, we first compare observed trait ranges of
<italic>SLA</italic>
to parameter values for
<italic>SLA</italic>
used in 12 global vegetation models; then we compare observed trait ranges of
<italic>N</italic>
<sub>m</sub>
with state variables of nitrogen concentration calculated within the dynamic global vegetation model O-CN (
<xref ref-type="bibr" rid="b250">Zaehle & Friend, 2010</xref>
).</p>
<p>Some vegetation models separate PFTs along climatic gradients into biomes, for which they assign different parameter values. A rough analysis of
<italic>SLA</italic>
along the latitudinal gradient (as a proxy for climate) indicates no major impact on
<italic>SLA</italic>
within PFT (
<xref ref-type="fig" rid="fig06">Fig. 6</xref>
), and we further jointly analyse
<italic>SLA</italic>
data by PFT. However, the range of observed trait values for
<italic>SLA</italic>
per PFT is remarkably large, except for the PFT ‘needle-leaved deciduous trees’ (
<xref ref-type="fig" rid="fig07">Figs 6 and 7</xref>
). The parameter values from most of the 12 models match moderately high density of
<italic>SLA</italic>
observations, but most are clearly different from the mean, and some parameter values are at the low ends of probabilities, surprisingly far off the mean value of observations.</p>
<fig id="fig06" position="float">
<label>Fig. 6</label>
<caption>
<p>Worldwide range in specific leaf area (
<italic>SLA</italic>
) along a latitudinal gradient for the main plant functional types. Grey, all data; black, data for the plant functional group (PFT) under scrutiny.</p>
</caption>
<graphic xlink:href="gcb0017-2905-f6"></graphic>
</fig>
<fig id="fig07" position="float">
<label>Fig. 7</label>
<caption>
<p>Frequency distributions of specific leaf area (
<italic>SLA</italic>
, mm
<sup>2</sup>
mg
<sup>−1</sup>
) values (grey histograms) compiled in the TRY database and parameter values for SLA (red dashes) published in the context of the following global vegetation models: Frankfurt Biosphere Model (
<xref ref-type="bibr" rid="b115">Ludeke
<italic>et al.</italic>
, 1994</xref>
;
<xref ref-type="bibr" rid="b101">Kohlmaier
<italic>et al.</italic>
, 1997</xref>
), SCM (
<xref ref-type="bibr" rid="b62">Friend & Cox, 1995</xref>
), HRBM (
<xref ref-type="bibr" rid="b89">Kaduk & Heimann, 1996</xref>
), IBIS (
<xref ref-type="bibr" rid="b57">Foley
<italic>et al.</italic>
, 1996</xref>
;
<xref ref-type="bibr" rid="b103">Kucharik
<italic>et al.</italic>
, 2000</xref>
), Hybrid (
<xref ref-type="bibr" rid="b63">Friend
<italic>et al.</italic>
, 1997</xref>
), BIOME-BGC (
<xref ref-type="bibr" rid="b234">White
<italic>et al.</italic>
, 2000</xref>
), ED (
<xref ref-type="bibr" rid="b137">Moorcroft
<italic>et al.</italic>
, 2001</xref>
), LPJ-GUESS (
<xref ref-type="bibr" rid="b215">Smith
<italic>et al.</italic>
, 2001</xref>
), LPJ-DGVM (
<xref ref-type="bibr" rid="b214">Sitch
<italic>et al.</italic>
, 2003</xref>
), LSM (
<xref ref-type="bibr" rid="b18">Bonan
<italic>et al.</italic>
, 2003</xref>
), SEIB–DGVM (
<xref ref-type="bibr" rid="b198">Sato
<italic>et al.</italic>
, 2007</xref>
).
<italic>n</italic>
, number of SLA data in the TRY database per PFT.</p>
</caption>
<graphic xlink:href="gcb0017-2905-f7"></graphic>
</fig>
<p>The range of observed trait values for
<italic>N</italic>
<sub>m</sub>
per PFT is also high (
<xref ref-type="fig" rid="fig08">Fig. 8</xref>
), except for the PFT ‘needle-leaved evergreen trees’. Modelled state variables are in most cases within the range of frequently observed trait values – model values for the PFT ‘needle-leaved evergreen trees’ match the observed distribution almost perfectly. Nevertheless, there are considerable differences between modelled and observed distributions: the modelled state variables are approximately normally distributed on the original scale, while the observed trait values are log-normally distributed; the range of modelled values is substantially smaller than the range of observations; and the highest densities are shifted. Apart from possible deficiencies of the O-CN model, the deviation between observed and modelled distributions may be due to inconsistencies between compiled traits and modelled state variables: trait entries in the database are not abundance-weighted with respect to natural occurrence, and they represent the variation of single measurements, while the model produces ‘community’ measures. The distribution of observed data presented here is therefore likely wider than the abundance-weighted leaf nitrogen content of communities in a given model grid cell.</p>
<fig id="fig08" position="float">
<label>Fig. 8</label>
<caption>
<p>Frequency distributions of leaf nitrogen content per dry mass for major plant functional types as compiled in the TRY database compared with frequency distributions of the respective state variable calculated within the O-CN vegetation model (
<xref ref-type="bibr" rid="b250">Zaehle & Friend, 2010</xref>
).
<italic>n</italic>
, number of entries in the TRY database (left) and number of grid elements in O-CN with given PFT (right).</p>
</caption>
<graphic xlink:href="gcb0017-2905-f8"></graphic>
</fig>
</sec>
</sec>
<sec>
<title>Discussion</title>
<sec>
<title>The TRY initiative and the current status of data coverage</title>
<p>The TRY initiative has been developed as a Data Warehouse to integrate different trait databases. Nevertheless, TRY does not aim to replace existing databases, but rather provides a complementary way to access these data consistently with other trait data – it facilitates synergistic use of different trait databases. Compared with a Meta Database approach, which would link a network of separate databases, the integrated database (Data Warehouse) provides the opportunity to standardize traits, add ancillary data, provide accepted species names and to identify outliers and duplicate entries. A disadvantage of the Data Warehouse approach is that some of the databases contributing to TRY are continuously being developed (see
<xref ref-type="table" rid="tbl2">Table 2</xref>
). However, these contributions to TRY are regularly updated.</p>
<p>The list of traits in the TRY database is not fixed, and it is anticipated that additional types of data will be added to the database in the future. Examples include sap-flow measurements, which are fluxes based on which trait values can be calculated, just as photosynthesis measurements can be used to determine parameter values of the Farquhar model (
<xref ref-type="bibr" rid="b55">Farquhar
<italic>et al.</italic>
, 1980</xref>
), and leaf venation, which has recently been defined in a consistent way and appears to be correlated with other leaf functional traits (
<xref ref-type="bibr" rid="b193">Sack & Frole, 2006</xref>
;
<xref ref-type="bibr" rid="b20">Brodribb
<italic>et al.</italic>
, 2007</xref>
;
<xref ref-type="bibr" rid="b17">Blonder
<italic>et al.</italic>
, 2011</xref>
). Ancillary data, contributed with the trait data, may include images. There is also room for expansion of the phylogenetic range of the data incorporated in the database. There is currently little information on nonvascular autotrophic cryptogams in TRY (i.e. bryophytes and lichens), despite their diversity in species, functions and ecosystem effects, and the growing number of trait measurements being made on species within these groups.</p>
<p>The qualitative traits with greatest coverage (more than 30 000 species for woodiness, plant growth form, leaf compoundness, leaf type, photosynthetic pathway) represent about 10% of the estimated number of vascular plant species on land. The quantitative traits with most coverage (5000–20 000 species for e.g. seed mass, plant height, wood density, leaf size, leaf nitrogen content,
<italic>SLA</italic>
) approach 5% of named plant species. Although they represent a limited set of species (5–10%), most probably they include the most abundant (dominant) species. The high number of characterized species opens up the possibility of identifying the evolutionary branch points at which large divergences in trait values occurred. Such analyses will improve our understanding of trait evolution at both temporal and spatial scales. They highlight the importance of including trait data for autotrophs representing very different branches of the Tree of Life (
<xref ref-type="bibr" rid="b37">Cornelissen
<italic>et al.</italic>
, 2007</xref>
;
<xref ref-type="bibr" rid="b106">Lang
<italic>et al.</italic>
, 2009</xref>
) in the TRY database.</p>
<p>For some traits, we know that many more data exist, which could potentially be added to the database. Nevertheless, for some traits the lack of data reflects difficulties in data collection.
<xref ref-type="table" rid="tbl2">Table 2</xref>
shows some traits where species coverage is thin, most probably because the measurements are difficult or laborious. Root measurements fall into this category. Rooting depth (or more exactly, maximum water extraction depth) is among the most influential plant traits in global vegetation models, yet we have estimates for only about 0.05% of the vascular plant species. Data for other root traits is even scarcer. However, many aboveground traits correlate with belowground traits (see
<xref ref-type="bibr" rid="b95">Kerkhoff
<italic>et al.</italic>
, 2006</xref>
), so the data in TRY do give some indication about belowground traits. Apart from this, root traits are focus of current studies (
<xref ref-type="bibr" rid="b161">Paula & Pausas, 2011</xref>
). Anatomical traits also have weak coverage in general. Quantifying anatomy from microscopic cross-sections is a slow and painstaking work and there is currently no consensus on which are the most valuable variables to quantify in leaf sections, apart from standard variables such as tissue thicknesses and cell sizes, which show important correlations with physiological function, growth form and climate (
<xref ref-type="bibr" rid="b71">Givnish, 1988</xref>
;
<xref ref-type="bibr" rid="b193">Sack & Frole, 2006</xref>
;
<xref ref-type="bibr" rid="b117">Markesteijn
<italic>et al.</italic>
, 2007</xref>
;
<xref ref-type="bibr" rid="b52">Dunbar-Co
<italic>et al.</italic>
, 2009</xref>
;
<xref ref-type="bibr" rid="b81">Hao
<italic>et al.</italic>
, 2010</xref>
). An exception is wood anatomy, where TRY contains conduit densities and sizes for many species (about 7000 and 3000 species, respectively). Finally, allometric or architectural relationships that describe relative biomass allocation to leaves, stems, and roots through the ontogeny of individual plants are presently scattered across 72 different traits, each with low coverage. These traits are essential for global vegetation models and this is an area where progress in streamlining data collection is needed.</p>
<p>Many trait data compiled in the database were not necessarily collected according to similar or standard protocols. Indeed many fields of plant physiology and ecology lack consensus definitions and protocols for key measurements. However, progress is being made as well towards
<italic>a posteriori</italic>
data consolidation (e.g.
<xref ref-type="bibr" rid="b148">Onoda
<italic>et al.</italic>
, 2011</xref>
), as towards standardizing trait definitions and measurement protocols, e.g. via a common plant trait Thesaurus (Plant Trait Thesaurus:
<ext-link ext-link-type="uri" xlink:href="http://trait_ontology.cefe.cnrs.fr:8080/Thesauform/">http://trait_ontology.cefe.cnrs.fr:8080/Thesauform/</ext-link>
), and a handbook and website (PrometheusWiki:
<ext-link ext-link-type="uri" xlink:href="http://prometheuswiki.publish.csiro.au/tiki-custom_home.php">http://prometheuswiki.publish.csiro.au/tiki-custom_home.php</ext-link>
) of standard definitions and protocols (
<xref ref-type="bibr" rid="b38">Cornelissen
<italic>et al.</italic>
, 2003b</xref>
;
<xref ref-type="bibr" rid="b191">Sack
<italic>et al.</italic>
, 2010</xref>
).</p>
<p>Information about the abiotic and biotic environment in combination with trait data is essential to allow an assessment of environmental constraints on the variation of plant traits (
<xref ref-type="bibr" rid="b64">Fyllas
<italic>et al.</italic>
, 2009</xref>
;
<xref ref-type="bibr" rid="b127">Meng
<italic>et al.</italic>
, 2009</xref>
;
<xref ref-type="bibr" rid="b149">Ordoñez
<italic>et al.</italic>
, 2009</xref>
;
<xref ref-type="bibr" rid="b4">Albert
<italic>et al.</italic>
, 2010b</xref>
;
<xref ref-type="bibr" rid="b169">Poorter
<italic>et al.</italic>
, 2010</xref>
). Some of this information has been compiled in the TRY database. However, the information about soil, climate and vegetation structure at measurement sites is not well structured, because there is no general agreement on what kind of environmental information is most useful to report in addition to trait measurements. A consensus on these issues would greatly improve the usefulness of ancillary environmental information. Geographic references should be a priority for nonexperimental data.</p>
<p>The number of observations or species with data for all traits declines rapidly with an increasing number of traits: fewer species have data for each trait (see
<xref ref-type="supplementary-material" rid="SD1">Appendix S3</xref>
). In cases where multivariate analyses rely on completely sampled trait-species matrices, this issue poses a significant constraint on the number of traits and/or species that can be included. Gap filling techniques, e.g. hierarchical Bayesian approaches or filtering techniques (
<xref ref-type="bibr" rid="b203">Shan & Banerjee, 2008</xref>
;
<xref ref-type="bibr" rid="b216">Su & Khoshgoftaar, 2009</xref>
) offer a potential solution. On the other hand, simulation work in phylogenetics has shown that missing data are not by themselves problematic for phylogenetic reconstruction (
<xref ref-type="bibr" rid="b235">Wiens, 2003</xref>
,
<xref ref-type="bibr" rid="b236">2005</xref>
). Similar work could be performed in trait-based ecology, and the emerging field of ecological informatics (
<xref ref-type="bibr" rid="b180">Recknagel, 2006</xref>
) may help to identify representative trait combinations while taking incomplete information into account (e.g.
<xref ref-type="bibr" rid="b129">Mezard, 2007</xref>
).</p>
</sec>
<sec>
<title>General pattern and ranges of trait distribution</title>
<p>Based on the TRY dataset, we characterized two general patterns of trait density distributions: (1) plant traits are rather log-normal than normal distributed and (2) the range of variation tends to increase with trait-dimensionality. Here the analysis did benefit from compiling large numbers of trait entries for several traits from different aspects of plant strategy. Based on the rich sampling, we could quantify simple general rules for trait distributions and still identify deviations in the individual case. The approximately log-normal distributions confirm prior reports for individual traits (e.g.
<xref ref-type="bibr" rid="b247">Wright
<italic>et al.</italic>
, 2004</xref>
) and are in agreement with general observations in biology (
<xref ref-type="bibr" rid="b94">Kerkhoff & Enquist, 2009</xref>
), although we also observe deviation from log-normal distribution, e.g. as an imprint of plant growth form or leaf type. Being approximately log-normal distributed is most probably due to the fact that plant traits often have a lower bound of zero but no upper bound relevant for the data distribution. This log-normal distribution has several implications: (1) On the original scale, relationships are to be expected multiplicative rather than additive (
<xref ref-type="bibr" rid="b94">Kerkhoff & Enquist, 2009</xref>
, see as well
<xref ref-type="supplementary-material" rid="SD1">Appendix S2</xref>
). (2) Log- or log–log scaled plots are not sophisticated techniques to hide huge variation, but the appropriate presentation of the observed distributions (e.g.
<xref ref-type="bibr" rid="b247">Wright
<italic>et al.</italic>
, 2004</xref>
). On the original scale, bivariate plots of trait distributions are to be expected heteroscedastic (e.g.
<xref ref-type="bibr" rid="b90">Kattge
<italic>et al.</italic>
, 2009</xref>
). (3) Trait related parameters and state variables in vegetation models can be assumed log-normal distributed as well, e.g.
<xref ref-type="fig" rid="fig08">Figs 7 and 8</xref>
(
<xref ref-type="bibr" rid="b100">Knorr & Kattge, 2005</xref>
). For more details, see
<xref ref-type="supplementary-material" rid="SD1">Appendix S2</xref>
.</p>
<p>For several traits, we quantified ranges of variation: overall variation, intra- and interspecific variation, and variation with respect to different functional groups. Most of the trait data compiled within the TRY database have been measured within natural environments and only a small fraction comes from experiments. Therefore, the impact of experimental growth conditions on observed trait variation is probably small in most cases and the observed trait variation in the TRY database comprises primarily natural variation at the level of single organs, including variation due to different measurement methods and, of course, measurement errors. However, systematic sampling of trait variation at single locations is a relatively new approach (
<xref ref-type="bibr" rid="b3">Albert
<italic>et al.</italic>
, 2010a</xref>
,
<xref ref-type="bibr" rid="b4">b</xref>
;
<xref ref-type="bibr" rid="b12">Baraloto
<italic>et al.</italic>
, 2010</xref>
;
<xref ref-type="bibr" rid="b86">Hulshof & Swenson, 2010</xref>
;
<xref ref-type="bibr" rid="b88">Jung
<italic>et al.</italic>
, 2010b</xref>
;
<xref ref-type="bibr" rid="b128">Messier
<italic>et al.</italic>
, 2010</xref>
), and it may therefore be shown that trait variability under natural conditions is underestimated in the current dataset.</p>
</sec>
<sec>
<title>Tenets revisited</title>
<p>The results presented here are a first step to illuminate two basic tenets of plant comparative ecology and vegetation modelling at a global scale: (1) The aggregation of trait data at the species level represents the major fraction of variation in trait values. At the same time, we have shown surprisingly high intraspecific variation – for some traits responsible for up to 40% of the overall variation (
<xref ref-type="table" rid="tbl5">Table 5</xref>
,
<xref ref-type="fig" rid="fig05">Figs 4 and 5</xref>
). This variation reflects genetic variation (among genotypes within a population/species) and phenotypic plasticity. Through the TRY initiative, a relevant amount of data is available to quantify and understand trait variation beyond aggregation on species level. The analysis presented here is only a first step to disentangle within- and between-species variability. It is expected that in combination with more detailed analyses the TRY database will support a paradigm shift from species to trait-based ecology.</p>
<p>(2) Basic PFTs, such as those commonly used in vegetation models capture a considerable fraction of observed variation with relevant internal consistency. However, for certain traits the majority of variation occurs within PFTs –responsible for up to 75% of the overall variation (
<xref ref-type="table" rid="tbl5">Table 5</xref>
,
<xref ref-type="fig" rid="fig08">Figs 4–8</xref>
). This variation reflects the adaptive capacity of vegetation to environmental constraints (
<xref ref-type="bibr" rid="b64">Fyllas
<italic>et al.</italic>
, 2009</xref>
;
<xref ref-type="bibr" rid="b127">Meng
<italic>et al.</italic>
, 2009</xref>
;
<xref ref-type="bibr" rid="b149">Ordoñez
<italic>et al.</italic>
, 2009</xref>
;
<xref ref-type="bibr" rid="b4">Albert
<italic>et al.</italic>
, 2010b</xref>
;
<xref ref-type="bibr" rid="b169">Poorter
<italic>et al.</italic>
, 2010</xref>
) and it highlights the need for refined plant functional classifications for Earth system modeling. The current approach to vegetation modelling, using few basic PFTs and one single fixed parameter value per PFT (even if this value equals the global or regional mean) does not account for the rather wide range of observed values for related traits and thus does not account for the adaptive capacity of vegetation. A more empirically based representation of functional diversity is expected to contribute to an improved prediction of biome boundary shifts in a changing environment.</p>
<p>There are new approaches in Earth system modelling to better account for the observed variability: suggesting more detailed PFTs, modelling variability within PFTs or replacing PFTs by continuous trait spectra. In the context of this analysis we focused on a basic set of PFTs. This schema is not immutable and there is not one given functional classification scheme. In fact, PFTs are very much chosen and defined along specific needs – and the availability of information. For example, the PFTs used in an individual based forest simulator (e.g.
<xref ref-type="bibr" rid="b28">Chave, 1999</xref>
), are by necessity very different from those used for DGVMs. The TRY dataset will be as important for allowing the definition of new, more detailed PFTs as for parameterizing the existing ones. Some recent models represent trait ranges as state variables along environmental gradients rather than as fixed parameter values. The O-CN model (
<xref ref-type="bibr" rid="b250">Zaehle & Friend, 2010</xref>
) is an example towards such a new generation of vegetation models, also the NCIM model (
<xref ref-type="bibr" rid="b54">Esser
<italic>et al.</italic>
, 2011</xref>
), or in combination with an optimality approach the VOM model (
<xref ref-type="bibr" rid="b201">Schymanski
<italic>et al.</italic>
, 2009</xref>
). Finally, functional diversity may be represented by model ensemble runs with continuous trait spectra and without PFT classification (
<xref ref-type="bibr" rid="b97">Kleidon
<italic>et al.</italic>
, 2009</xref>
). However, compared with current vegetation models, these new approaches will be more flexible with respect to the adaptive capacity of vegetation. The TRY database is expected to contribute to these developments, which will provide a more realistic, empirically grounded representation of plants and ecosystems in Earth system models.</p>
</sec>
<sec>
<title>A unified database of plant traits in the context of global biogeography</title>
<p>The analyses presented here are only a first step to introduce the TRY dataset. To better understand, separate, and quantify the different contributions to trait variation observed in TRY, more comprehensive analyses could be carried out, e.g. variance partitioning accounting for phylogeny and disentangling functional and regional influences or analysis of (co-)variance of plant traits along environmental gradients. An integrative exploration of ecological and biogeographical information in TRY is expected to substantially benefit from progress in the science of machine learning and pattern recognition (
<xref ref-type="bibr" rid="b133">Mjolsness & DeCoste, 2001</xref>
). In principle, we are confronted with a similar challenge that genomics faced after large-scale DNA sequencing techniques had become available. Instead of thousands of sequences, our target is feature extraction and novelty detection in thousands of plant traits and ancillary information. Nonlinear relations among items and the treatment of redundancies in trait space have to be addressed. Nonlinear dimensionality reduction (
<xref ref-type="bibr" rid="b111">Lee & Verleysen, 2007</xref>
) may shed light on the inherent structures of data compiled in TRY. Empirical inference of this kind is expected to stimulate and strengthen hypothesis-driven research (
<xref ref-type="bibr" rid="b72">Golub, 2010</xref>
;
<xref ref-type="bibr" rid="b230">Weinberg, 2010</xref>
) towards a unified ecological assessment of plant traits and their role for the functioning of the terrestrial biosphere.</p>
<p>The representation of trait observations in a spatial or climate context in the TRY database is limited (
<xref ref-type="fig" rid="fig03">Figs 2 and 3</xref>
). This situation can be overcome using complementary data streams: trait information can be spatially expanded with comprehensive compilations of species occurrence data, e.g. from GBIF or herbarium sources. For SLA and leaf nitrogen content we provide an example for combining trait information with species occurrence data from the GBIF database and with climate reconstruction data derived from the CRU database (
<xref ref-type="fig" rid="fig03">Fig. 3</xref>
). Given that the major fraction of variation is between species, the variation of species mean trait values may be used – but with caution – as a proxy for trait variation, as has already been performed in recent studies at regional and continental scales (
<xref ref-type="bibr" rid="b218">Swenson & Enquist, 2007</xref>
;
<xref ref-type="bibr" rid="b219">Swenson & Weiser, 2010</xref>
).
<xref ref-type="bibr" rid="b147">Ollinger
<italic>et al.</italic>
(2008)</xref>
derived regional maps of leaf nitrogen content and maximum photosynthesis from trait information in combination with eddy covariance fluxes and remote sensing data. Based on these approaches and advanced spatial interpolation techniques (
<xref ref-type="bibr" rid="b204">Shekhar
<italic>et al.</italic>
, 2004</xref>
), a unified global database of plant traits may permit spatial mapping of key plant traits at a global scale (
<xref ref-type="bibr" rid="b181">Reich, 2005</xref>
).</p>
<p>The relationship between plant traits (organism-level) and ecosystem or land surface functional properties is crucial. Recent studies have built upon the eddy covariance network globally organized as FLUXNET (a network of regional networks coordinating observations from micrometeorological tower sites:
<ext-link ext-link-type="uri" xlink:href="http://www.fluxnet.ornl.gov">http://www.fluxnet.ornl.gov</ext-link>
) and inferred site specific ecosystem-level properties from the covariation of meteorological drivers and ecosystem-atmosphere exchange of CO
<sub>2</sub>
and water (
<xref ref-type="bibr" rid="b11">Baldocchi, 2008</xref>
). These include inherent water-use efficiency (
<xref ref-type="bibr" rid="b186">Reichstein
<italic>et al.</italic>
, 2007</xref>
;
<xref ref-type="bibr" rid="b13">Beer
<italic>et al.</italic>
, 2009</xref>
), maximum canopy photosynthetic capacity (
<xref ref-type="bibr" rid="b147">Ollinger
<italic>et al.</italic>
, 2008</xref>
), radiation use efficiency and light response curve parameters (
<xref ref-type="bibr" rid="b107">Lasslop
<italic>et al.</italic>
, 2010</xref>
). How species traits relate to these ecosystem-level characteristics has not been investigated, but should be possible via a combined analysis of FLUXNET and TRY data. For example, it is possible to test the hypothesized correlation between SLA, P, and N content of dominant species with radiation use efficiency and inherent water-use efficiency at the ecosystem level (as implicit in
<xref ref-type="bibr" rid="b147">Ollinger
<italic>et al.</italic>
, 2008</xref>
). Similarly, patterns of spatially interpolated global fields of biosphere–atmosphere exchange (
<xref ref-type="bibr" rid="b14">Beer
<italic>et al.</italic>
, 2010</xref>
;
<xref ref-type="bibr" rid="b87">Jung
<italic>et al.</italic>
, 2010a</xref>
) may be related to spatialized plant traits in order to detect a biotic imprint on the global carbon and water cycles. Such increased synthetic understanding of variation in plant traits is expected to support the development of a new generation of vegetation models with a better representation of vegetation structure and functional variation (
<xref ref-type="bibr" rid="b109">Lavorel
<italic>et al.</italic>
, 2008</xref>
;
<xref ref-type="bibr" rid="b225">Violle & Jiang, 2009</xref>
).</p>
</sec>
</sec>
<sec>
<title>Conclusions and perspectives</title>
<p>The TRY database provides unprecedented coverage of information on plant traits and will be a permanent communal repository of plant trait data. The first analyses presented here confirm two basic tenets of plant comparative ecology and vegetation modelling at global scale: (1) the aggregation of trait data at the species level represents the major fraction of variation and (2) PFTs cover a relevant fraction of trait variation to represent functional diversity in the context of vegetation modelling. Nevertheless, at the same time these results reveal for several traits surprisingly high variation within species, as well as within PFTs – a finding which poses a challenge to large-scale biogeography and vegetation modelling. In combination with improved (geo)-statistical methods and complementary data streams, the TRY database is expected to support a paradigm shift in ecology from being based on species to a focus on traits and trait syndromes. It also offers new opportunities for research in evolutionary biology, biogeography, and ecology. Finally, it allows the detection of the biotic imprint on global carbon and water cycles, and fosters a more realistic, empirically grounded representation of plants and ecosystems in Earth system models.</p>
</sec>
</body>
<back>
<ack>
<p>We would like to thank the subject editor, the publisher for caution and patience, two anonymous reviewers for supportive comments. The TRY initiative and database is hosted, developed and maintained at the Max-Planck-Institute for Biogeochemistry (MPI-BGC) in Jena, Germany. TRY is or has been supported by DIVERSITAS, IGBP, the Global Land Project, the UK Natural Environment Research Council (NERC) through its programme QUEST (Quantifying and Understanding the Earth System), the French Foundation for Biodiversity Research (FRB), and GIS ‘Climat, Environnement et Société’ France. We wish to thank John Dickie and Kenwin Liu for making the data from the KEW Seed Information Database available in the context of the TRY initiative, Alastair Fitter, Henry Ford and Helen Peat for making the Ecological Flora of the British Isles available, and Andy Gillison for the VegClass database. We wish to thank Brad Boyle and the SALVIAS project for building and making available a global checklist of plant species names, and GBIF (Andrea Hahn) for making the species occurrence data available. The authors thank the NSF LTER program DEB 0620652 and the NSF LTREB program DEB 0716587 for making data on plant traits available.</p>
</ack>
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<title>Supporting Information</title>
<p>Additional Supporting Information may be found in the online version of this article:</p>
<p>
<bold>Figure S1.</bold>
‘Funnel graph’ indicating the dependence of standard deviation on sampling size.</p>
<p>
<bold>Figure S2.</bold>
Outliers identified in case of
<italic>SLA</italic>
(2404 outliers out of 48 140 entries, after exclusion of duplicates).</p>
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<bold>Appendix S1.</bold>
Detection of outliers.</p>
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<bold>Appendix S2.</bold>
Reasoning and consequences of normal distribution on logarithmic scale.</p>
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Ranges of plant traits as a function of trait dimensionality.</p>
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<bold>Appendix S4.</bold>
Reduction of number of species with complete data coverage with increasing number of traits.</p>
<p>
<bold>Appendix S5.</bold>
Latitudinal range of SLA.</p>
<supplementary-material content-type="local-data" id="SD1">
<media xlink:href="gcb0017-2905-SD1.tiff" xlink:type="simple" id="d35e19909" position="anchor" mimetype="image" mime-subtype="tiff"></media>
<media xlink:href="gcb0017-2905-SD2.tiff" xlink:type="simple" id="d35e19910" position="anchor" mimetype="image" mime-subtype="tiff"></media>
<media xlink:href="gcb0017-2905-SD3.tiff" xlink:type="simple" id="d35e19911" position="anchor" mimetype="image" mime-subtype="tiff"></media>
<media xlink:href="gcb0017-2905-SD4.tiff" xlink:type="simple" id="d35e19912" position="anchor" mimetype="image" mime-subtype="tiff"></media>
<media xlink:href="gcb0017-2905-SD5.eps" xlink:type="simple" id="d35e19913" position="anchor" mimetype="application" mime-subtype="postscript"></media>
<media xlink:href="gcb0017-2905-SD6.doc" xlink:type="simple" id="d35e19914" position="anchor" mimetype="application" mime-subtype="msword"></media>
</supplementary-material>
<p>Please note: Wiley-Blackwell are not responsible for the content or functionality of any supporting materials supplied by the authors. Any queries (other than missing material) should be directed to the corresponding author for the article.</p>
</sec>
</back>
</pmc>
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