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Soil respiration at mean annual temperature predicts annual total across vegetation types and biomes

Identifieur interne : 000159 ( Pmc/Curation ); précédent : 000158; suivant : 000160

Soil respiration at mean annual temperature predicts annual total across vegetation types and biomes

Auteurs : M. Bahn [Autriche] ; M. Reichstein [Allemagne] ; E. A. Davidson [États-Unis] ; J. Grünzweig [Israël] ; M. Jung [Allemagne] ; M. S. Carbone [États-Unis] ; D. Epron [France] ; L. Misson [France] ; Y. Nouvellon [France] ; O. Roupsard [France, Costa Rica] ; K. Savage [États-Unis] ; S. E. Trumbore [Allemagne] ; C. Gimeno [Espagne] ; J. Curiel Yuste [Espagne] ; J. Tang [États-Unis] ; R. Vargas [États-Unis] ; I. A. Janssens [Belgique]

Source :

RBID : PMC:3535887

Abstract

Soil respiration (SR) constitutes the largest flux of CO2 from terrestrial ecosystems to the atmosphere. However, there still exist considerable uncertainties as to its actual magnitude, as well as its spatial and interannual variability. Based on a reanalysis and synthesis of 80 site-years for 57 forests, plantations, savannas, shrublands and grasslands from boreal to tropical climates we present evidence that total annual SR is closely related to SR at mean annual soil temperature (SRMAT), irrespective of the type of ecosystem and biome. This is theoretically expected for non water-limited ecosystems within most of the globally occurring range of annual temperature variability and sensitivity (Q10). We further show that for seasonally dry sites where annual precipitation (P) is lower than potential evapotranspiration (PET), annual SR can be predicted from wet season SRMAT corrected for a factor related to P/PET. Our finding indicates that it can be sufficient to measure SRMAT for obtaining a well constrained estimate of its annual total. This should substantially increase our capacity for assessing the spatial distribution of soil CO2 emissions across ecosystems, landscapes and regions, and thereby contribute to improving the spatial resolution of a major component of the global carbon cycle.


Url:
DOI: 10.5194/bg-7-2147-2010
PubMed: 23293656
PubMed Central: 3535887

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Y. Nouvellon
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Le document en format XML

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<p id="P2">Soil respiration (SR) constitutes the largest flux of CO
<sub>2</sub>
from terrestrial ecosystems to the atmosphere. However, there still exist considerable uncertainties as to its actual magnitude, as well as its spatial and interannual variability. Based on a reanalysis and synthesis of 80 site-years for 57 forests, plantations, savannas, shrublands and grasslands from boreal to tropical climates we present evidence that total annual SR is closely related to SR at mean annual soil temperature (SR
<sub>MAT</sub>
), irrespective of the type of ecosystem and biome. This is theoretically expected for non water-limited ecosystems within most of the globally occurring range of annual temperature variability and sensitivity (
<italic>Q</italic>
<sub>10</sub>
). We further show that for seasonally dry sites where annual precipitation (
<italic>P</italic>
) is lower than potential evapotranspiration (PET), annual SR can be predicted from wet season SR
<sub>MAT</sub>
corrected for a factor related to
<italic>P</italic>
/PET. Our finding indicates that it can be sufficient to measure SR
<sub>MAT</sub>
for obtaining a well constrained estimate of its annual total. This should substantially increase our capacity for assessing the spatial distribution of soil CO
<sub>2</sub>
emissions across ecosystems, landscapes and regions, and thereby contribute to improving the spatial resolution of a major component of the global carbon cycle.</p>
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<given-names>D.</given-names>
</name>
<xref ref-type="aff" rid="A6">6</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Misson</surname>
<given-names>L.</given-names>
</name>
<xref ref-type="aff" rid="A7">7</xref>
<xref ref-type="author-notes" rid="FN1"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nouvellon</surname>
<given-names>Y.</given-names>
</name>
<xref ref-type="aff" rid="A8">8</xref>
<xref ref-type="aff" rid="A9">9</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Roupsard</surname>
<given-names>O.</given-names>
</name>
<xref ref-type="aff" rid="A8">8</xref>
<xref ref-type="aff" rid="A10">10</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Savage</surname>
<given-names>K.</given-names>
</name>
<xref ref-type="aff" rid="A3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Trumbore</surname>
<given-names>S. E.</given-names>
</name>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gimeno</surname>
<given-names>C.</given-names>
</name>
<xref ref-type="aff" rid="A11">11</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yuste</surname>
<given-names>J. Curiel</given-names>
</name>
<xref ref-type="aff" rid="A12">12</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tang</surname>
<given-names>J.</given-names>
</name>
<xref ref-type="aff" rid="A13">13</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Vargas</surname>
<given-names>R.</given-names>
</name>
<xref ref-type="aff" rid="A14">14</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Janssens</surname>
<given-names>I. A.</given-names>
</name>
<xref ref-type="aff" rid="A15">15</xref>
</contrib>
</contrib-group>
<aff id="A1">
<label>1</label>
Institute of Ecology, University of Innsbruck, Innsbruck, Austria</aff>
<aff id="A2">
<label>2</label>
Max-Planck Institute for Biogeochemistry, Jena, Germany</aff>
<aff id="A3">
<label>3</label>
The Woods Hole Research Center, Falmouth, Massachusetts, USA</aff>
<aff id="A4">
<label>4</label>
Hebrew University of Jerusalem, Robert H. Smith Faculty of Agriculture, Food and Environment, Rehovot, Israel</aff>
<aff id="A5">
<label>5</label>
Department of Geography, University of California, Santa Barbara, California, USA</aff>
<aff id="A6">
<label>6</label>
Nancy Université, Université Henri Poincaré, Vandoeuvre les Nancy, France</aff>
<aff id="A7">
<label>7</label>
CNRS, Montpellier, France</aff>
<aff id="A8">
<label>8</label>
CIRAD, Montpellier, France</aff>
<aff id="A9">
<label>9</label>
CRDPI, Pointe-Noire, Republic of Congo</aff>
<aff id="A10">
<label>10</label>
CATIE, Turrialba, Costa Rica</aff>
<aff id="A11">
<label>11</label>
CEAM, Paterna, Valencia, Spain</aff>
<aff id="A12">
<label>12</label>
CREAF, Universitat Autònomade Barcelona, Bellaterra, Barcelona, Spain</aff>
<aff id="A13">
<label>13</label>
The Ecosystems Center, Marine Biological Laboratory, Woods Hole, Massachusetts, USA</aff>
<aff id="A14">
<label>14</label>
Department of Environmental Science, Policy & Management (ESPM), University of California, Berkeley, California, USA</aff>
<aff id="A15">
<label>15</label>
Department of Biology, University Instelling Antwerp, Wilrijk, Belgium</aff>
<author-notes>
<corresp id="CR1">
<italic>Correspondence to:</italic>
M. Bahn (
<email>michael.bahn@uibk.ac.at</email>
)</corresp>
<fn id="FN1">
<label></label>
<p id="P1">This article is dedicated to Laurent Misson, who died in a tragic accident in March 2010.</p>
</fn>
</author-notes>
<pub-date pub-type="nihms-submitted">
<day>15</day>
<month>1</month>
<year>2011</year>
</pub-date>
<pub-date pub-type="ppub">
<day>9</day>
<month>7</month>
<year>2010</year>
</pub-date>
<pub-date pub-type="pmc-release">
<day>03</day>
<month>1</month>
<year>2013</year>
</pub-date>
<volume>7</volume>
<issue>7</issue>
<fpage>2147</fpage>
<lpage>2157</lpage>
<permissions>
<copyright-statement>© Author(s) 2010.</copyright-statement>
<copyright-year>2010</copyright-year>
</permissions>
<self-uri xlink:href="http://www.biogeosciences.net/7/2147/2010/bg-7-2147-2010.pdf"></self-uri>
<abstract>
<p id="P2">Soil respiration (SR) constitutes the largest flux of CO
<sub>2</sub>
from terrestrial ecosystems to the atmosphere. However, there still exist considerable uncertainties as to its actual magnitude, as well as its spatial and interannual variability. Based on a reanalysis and synthesis of 80 site-years for 57 forests, plantations, savannas, shrublands and grasslands from boreal to tropical climates we present evidence that total annual SR is closely related to SR at mean annual soil temperature (SR
<sub>MAT</sub>
), irrespective of the type of ecosystem and biome. This is theoretically expected for non water-limited ecosystems within most of the globally occurring range of annual temperature variability and sensitivity (
<italic>Q</italic>
<sub>10</sub>
). We further show that for seasonally dry sites where annual precipitation (
<italic>P</italic>
) is lower than potential evapotranspiration (PET), annual SR can be predicted from wet season SR
<sub>MAT</sub>
corrected for a factor related to
<italic>P</italic>
/PET. Our finding indicates that it can be sufficient to measure SR
<sub>MAT</sub>
for obtaining a well constrained estimate of its annual total. This should substantially increase our capacity for assessing the spatial distribution of soil CO
<sub>2</sub>
emissions across ecosystems, landscapes and regions, and thereby contribute to improving the spatial resolution of a major component of the global carbon cycle.</p>
</abstract>
<funding-group>
<award-group>
<funding-source country="Austria">Austrian Science Fund FWF : </funding-source>
<award-id>P 18756-B16 || FWF_</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
</pmc>
</record>

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