Mean annual GPP of Europe derived from its water balance
Identifieur interne : 009128 ( Main/Exploration ); précédent : 009127; suivant : 009129Mean annual GPP of Europe derived from its water balance
Auteurs : C. Beer [Allemagne] ; M. Reichstein [Allemagne] ; P. Ciais [France] ; G. D. Farquhar [Australie] ; D. Papale [Italie]Source :
- Geophysical Research Letters [ 0094-8276 ] ; 2007-03.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Forêt, écosystème.
English descriptors
- KwdEn :
- Agriculture organisation, Auxiliary material, Biological sciences, Carbon assimilation, Climate data, Continental level, Covariance, Data assimilation office, Different sets, Ecosystem, Ecosystem exchange, Ecosystem models, Eddy, Eddy covariance measurements, Eddy covariance technique, Europe, European commission, European soil bureau network, Forest resources, Forest sites, Global, Global change biol, Global scale, Local scale, Parameter sets, Planetary scale, Primary production, Regional scope, Reichstein, Research school, Runoff, Soil texture, Spatial resolution, Stomatal conductance, Vapor pressure, Vortex, Water balance, Watershed, Whole watersheds, Wuevpd, atmospheric precipitation, covariance, drainage basins, ecosystems, efficiency, evapotranspiration, forests, models, primary productivity, rivers, vegetation, water balance.
- Teeft :
- Agriculture organisation, Auxiliary material, Biological sciences, Carbon assimilation, Climate data, Continental level, Covariance, Data assimilation office, Different sets, Ecosystem, Ecosystem exchange, Ecosystem models, Eddy, Eddy covariance measurements, Eddy covariance technique, European commission, European soil bureau network, Forest resources, Forest sites, Global, Global change biol, Global scale, Local scale, Parameter sets, Primary production, Reichstein, Research school, Soil texture, Spatial resolution, Stomatal conductance, Water balance, Watershed, Whole watersheds, Wuevpd.
Abstract
On local scale, the eddy covariance technique is suited to estimate gross primary production (GPP). Scaling up such observations to the regional and continental level, however, remains a challenge. Here, we show that there is a surprisingly robust stoichiometric relationship between vegetation CO2 and H2O fluxes, mediated by vapor pressure deficit (VPD), across many different forest vegetation types. This relationship is used to provide a data‐driven estimate of Europe's GPP from its water balance. Namely, watershed‐wide evapotranspiration (ET), as derived from precipitation (P) and river runoff (R), is multiplied by the ratio of GPP to ET as derived from eddy covariance measurements (water‐use efficiency, WUE). In doing so, GPP of Europe is estimated to range between 3.9 and 5.8 PgC/a (median 5 PgC/a). Such GPP estimate is an important independent benchmark for large‐scale ecosystem models and may be extended to global scale when relevant data becomes available.
Url:
DOI: 10.1029/2006GL029006
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 001A52
- to stream Istex, to step Curation: 001A52
- to stream Istex, to step Checkpoint: 001377
- to stream Main, to step Merge: 009B01
- to stream PascalFrancis, to step Corpus: 003C58
- to stream PascalFrancis, to step Curation: 002430
- to stream PascalFrancis, to step Checkpoint: 003781
- to stream Main, to step Merge: 009E93
- to stream Main, to step Curation: 009128
Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Mean annual GPP of Europe derived from its water balance</title>
<author><name sortKey="Beer, C" sort="Beer, C" uniqKey="Beer C" first="C." last="Beer">C. Beer</name>
</author>
<author><name sortKey="Reichstein, M" sort="Reichstein, M" uniqKey="Reichstein M" first="M." last="Reichstein">M. Reichstein</name>
</author>
<author><name sortKey="Ciais, P" sort="Ciais, P" uniqKey="Ciais P" first="P." last="Ciais">P. Ciais</name>
</author>
<author><name sortKey="Farquhar, G D" sort="Farquhar, G D" uniqKey="Farquhar G" first="G. D." last="Farquhar">G. D. Farquhar</name>
</author>
<author><name sortKey="Papale, D" sort="Papale, D" uniqKey="Papale D" first="D." last="Papale">D. Papale</name>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">ISTEX</idno>
<idno type="RBID">ISTEX:8C6AB9896CDE95CCD5E63E24CAFE1C02553EB232</idno>
<date when="2007" year="2007">2007</date>
<idno type="doi">10.1029/2006GL029006</idno>
<idno type="url">https://api.istex.fr/document/8C6AB9896CDE95CCD5E63E24CAFE1C02553EB232/fulltext/pdf</idno>
<idno type="wicri:Area/Istex/Corpus">001A52</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">001A52</idno>
<idno type="wicri:Area/Istex/Curation">001A52</idno>
<idno type="wicri:Area/Istex/Checkpoint">001377</idno>
<idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Checkpoint">001377</idno>
<idno type="wicri:doubleKey">0094-8276:2007:Beer C:mean:annual:gpp</idno>
<idno type="wicri:Area/Main/Merge">009B01</idno>
<idno type="wicri:source">INIST</idno>
<idno type="RBID">Pascal:07-0224361</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">003C58</idno>
<idno type="wicri:Area/PascalFrancis/Curation">002430</idno>
<idno type="wicri:Area/PascalFrancis/Checkpoint">003781</idno>
<idno type="wicri:explorRef" wicri:stream="PascalFrancis" wicri:step="Checkpoint">003781</idno>
<idno type="wicri:doubleKey">0094-8276:2007:Beer C:mean:annual:gpp</idno>
<idno type="wicri:Area/Main/Merge">009E93</idno>
<idno type="wicri:Area/Main/Curation">009128</idno>
<idno type="wicri:Area/Main/Exploration">009128</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title level="a" type="main">Mean annual GPP of Europe derived from its water balance</title>
<author><name sortKey="Beer, C" sort="Beer, C" uniqKey="Beer C" first="C." last="Beer">C. Beer</name>
<affiliation wicri:level="1"><country wicri:rule="url">Allemagne</country>
</affiliation>
<affiliation wicri:level="1"><country xml:lang="fr">Allemagne</country>
<wicri:regionArea>Max‐Planck‐Institut für Biogeochemie, Jena</wicri:regionArea>
<wicri:noRegion>Jena</wicri:noRegion>
<wicri:noRegion>Jena</wicri:noRegion>
</affiliation>
<affiliation wicri:level="1"><country wicri:rule="url">Allemagne</country>
</affiliation>
</author>
<author><name sortKey="Reichstein, M" sort="Reichstein, M" uniqKey="Reichstein M" first="M." last="Reichstein">M. Reichstein</name>
<affiliation wicri:level="1"><country xml:lang="fr">Allemagne</country>
<wicri:regionArea>Max‐Planck‐Institut für Biogeochemie, Jena</wicri:regionArea>
<wicri:noRegion>Jena</wicri:noRegion>
<wicri:noRegion>Jena</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Ciais, P" sort="Ciais, P" uniqKey="Ciais P" first="P." last="Ciais">P. Ciais</name>
<affiliation wicri:level="1"><country xml:lang="fr">France</country>
<wicri:regionArea>Laboratoire des Sciences du Climat et de l'Environnement, Commissariat à l'Energie Atomique, Gif‐sur‐Yvette</wicri:regionArea>
<wicri:noRegion>Gif‐sur‐Yvette</wicri:noRegion>
<wicri:noRegion>Gif‐sur‐Yvette</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Farquhar, G D" sort="Farquhar, G D" uniqKey="Farquhar G" first="G. D." last="Farquhar">G. D. Farquhar</name>
<affiliation wicri:level="1"><country xml:lang="fr">Australie</country>
<wicri:regionArea>Research School of Biological Sciences, Australian National University, Canberra, ACT</wicri:regionArea>
<wicri:noRegion>ACT</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Papale, D" sort="Papale, D" uniqKey="Papale D" first="D." last="Papale">D. Papale</name>
<affiliation wicri:level="1"><country xml:lang="fr">Italie</country>
<wicri:regionArea>Department of Forest Resources and Environment, University of Tuscia, Viterbo</wicri:regionArea>
<wicri:noRegion>Viterbo</wicri:noRegion>
</affiliation>
</author>
</analytic>
<monogr></monogr>
<series><title level="j" type="main">Geophysical Research Letters</title>
<title level="j" type="alt">GEOPHYSICAL RESEARCH LETTERS</title>
<idno type="ISSN">0094-8276</idno>
<idno type="eISSN">1944-8007</idno>
<imprint><biblScope unit="vol">34</biblScope>
<biblScope unit="issue">5</biblScope>
<biblScope unit="page-count">4</biblScope>
<date type="published" when="2007-03">2007-03</date>
</imprint>
<idno type="ISSN">0094-8276</idno>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt><idno type="ISSN">0094-8276</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Agriculture organisation</term>
<term>Auxiliary material</term>
<term>Biological sciences</term>
<term>Carbon assimilation</term>
<term>Climate data</term>
<term>Continental level</term>
<term>Covariance</term>
<term>Data assimilation office</term>
<term>Different sets</term>
<term>Ecosystem</term>
<term>Ecosystem exchange</term>
<term>Ecosystem models</term>
<term>Eddy</term>
<term>Eddy covariance measurements</term>
<term>Eddy covariance technique</term>
<term>Europe</term>
<term>European commission</term>
<term>European soil bureau network</term>
<term>Forest resources</term>
<term>Forest sites</term>
<term>Global</term>
<term>Global change biol</term>
<term>Global scale</term>
<term>Local scale</term>
<term>Parameter sets</term>
<term>Planetary scale</term>
<term>Primary production</term>
<term>Regional scope</term>
<term>Reichstein</term>
<term>Research school</term>
<term>Runoff</term>
<term>Soil texture</term>
<term>Spatial resolution</term>
<term>Stomatal conductance</term>
<term>Vapor pressure</term>
<term>Vortex</term>
<term>Water balance</term>
<term>Watershed</term>
<term>Whole watersheds</term>
<term>Wuevpd</term>
<term>atmospheric precipitation</term>
<term>covariance</term>
<term>drainage basins</term>
<term>ecosystems</term>
<term>efficiency</term>
<term>evapotranspiration</term>
<term>forests</term>
<term>models</term>
<term>primary productivity</term>
<term>rivers</term>
<term>vegetation</term>
<term>water balance</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Bassin versant</term>
<term>Bilan eau</term>
<term>Covariance</term>
<term>Echelle planétaire</term>
<term>Echelon régional</term>
<term>Ecosystème</term>
<term>Efficacité</term>
<term>Europe</term>
<term>Evapotranspiration</term>
<term>Forêt</term>
<term>Modèle</term>
<term>Pression vapeur</term>
<term>Productivité primaire</term>
<term>Précipitation atmosphérique</term>
<term>Rivière</term>
<term>Ruissellement eau sol</term>
<term>Tourbillon</term>
<term>Végétation</term>
</keywords>
<keywords scheme="Teeft" xml:lang="en"><term>Agriculture organisation</term>
<term>Auxiliary material</term>
<term>Biological sciences</term>
<term>Carbon assimilation</term>
<term>Climate data</term>
<term>Continental level</term>
<term>Covariance</term>
<term>Data assimilation office</term>
<term>Different sets</term>
<term>Ecosystem</term>
<term>Ecosystem exchange</term>
<term>Ecosystem models</term>
<term>Eddy</term>
<term>Eddy covariance measurements</term>
<term>Eddy covariance technique</term>
<term>European commission</term>
<term>European soil bureau network</term>
<term>Forest resources</term>
<term>Forest sites</term>
<term>Global</term>
<term>Global change biol</term>
<term>Global scale</term>
<term>Local scale</term>
<term>Parameter sets</term>
<term>Primary production</term>
<term>Reichstein</term>
<term>Research school</term>
<term>Soil texture</term>
<term>Spatial resolution</term>
<term>Stomatal conductance</term>
<term>Water balance</term>
<term>Watershed</term>
<term>Whole watersheds</term>
<term>Wuevpd</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Forêt</term>
<term>écosystème</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract">On local scale, the eddy covariance technique is suited to estimate gross primary production (GPP). Scaling up such observations to the regional and continental level, however, remains a challenge. Here, we show that there is a surprisingly robust stoichiometric relationship between vegetation CO2 and H2O fluxes, mediated by vapor pressure deficit (VPD), across many different forest vegetation types. This relationship is used to provide a data‐driven estimate of Europe's GPP from its water balance. Namely, watershed‐wide evapotranspiration (ET), as derived from precipitation (P) and river runoff (R), is multiplied by the ratio of GPP to ET as derived from eddy covariance measurements (water‐use efficiency, WUE). In doing so, GPP of Europe is estimated to range between 3.9 and 5.8 PgC/a (median 5 PgC/a). Such GPP estimate is an important independent benchmark for large‐scale ecosystem models and may be extended to global scale when relevant data becomes available.</div>
</front>
</TEI>
<affiliations><list><country><li>Allemagne</li>
<li>Australie</li>
<li>France</li>
<li>Italie</li>
</country>
</list>
<tree><country name="Allemagne"><noRegion><name sortKey="Beer, C" sort="Beer, C" uniqKey="Beer C" first="C." last="Beer">C. Beer</name>
</noRegion>
<name sortKey="Beer, C" sort="Beer, C" uniqKey="Beer C" first="C." last="Beer">C. Beer</name>
<name sortKey="Beer, C" sort="Beer, C" uniqKey="Beer C" first="C." last="Beer">C. Beer</name>
<name sortKey="Reichstein, M" sort="Reichstein, M" uniqKey="Reichstein M" first="M." last="Reichstein">M. Reichstein</name>
</country>
<country name="France"><noRegion><name sortKey="Ciais, P" sort="Ciais, P" uniqKey="Ciais P" first="P." last="Ciais">P. Ciais</name>
</noRegion>
</country>
<country name="Australie"><noRegion><name sortKey="Farquhar, G D" sort="Farquhar, G D" uniqKey="Farquhar G" first="G. D." last="Farquhar">G. D. Farquhar</name>
</noRegion>
</country>
<country name="Italie"><noRegion><name sortKey="Papale, D" sort="Papale, D" uniqKey="Papale D" first="D." last="Papale">D. Papale</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Asie/explor/AustralieFrV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 009128 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 009128 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Wicri/Asie |area= AustralieFrV1 |flux= Main |étape= Exploration |type= RBID |clé= ISTEX:8C6AB9896CDE95CCD5E63E24CAFE1C02553EB232 |texte= Mean annual GPP of Europe derived from its water balance }}
This area was generated with Dilib version V0.6.33. |