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dc.contributor.authorBahn, Michael  Concept link
dc.contributor.authorReichstein, M.  Concept link
dc.contributor.authorDavidson, Eric A.  Concept link
dc.contributor.authorGrunzweig, J.  Concept link
dc.contributor.authorJung, M.  Concept link
dc.contributor.authorCarbone, M. S.  Concept link
dc.contributor.authorEpron, D.  Concept link
dc.contributor.authorMisson, L.  Concept link
dc.contributor.authorNouvellon, Y.  Concept link
dc.contributor.authorRoupsard, O.  Concept link
dc.contributor.authorSavage, K.  Concept link
dc.contributor.authorTrumbore, Susan E.  Concept link
dc.contributor.authorGimeno, C.  Concept link
dc.contributor.authorCuriel Yuste, J.  Concept link
dc.contributor.authorTang, Jianwu  Concept link
dc.contributor.authorVargas, Rodrigo  Concept link
dc.contributor.authorJanssens, Ivan A.  Concept link
dc.identifier.citationBiogeosciences 7 (2010): 2147-2157en_US
dc.description© The Authors, 2010. This article is distributed under the terms of the Creative Commons Attribution 3.0 License. The definitive version was published in Biogeosciences 7 (2010): 2147-2157, doi:10.5194/bg-7-2147-2010.en_US
dc.description.abstractSoil 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.en_US
dc.description.sponsorshipData synthesis was supported by the Austrian Science Fund (FWF) grant P18756-B16 to MB. MR acknowledges funding from the European Research Council to the QUASOM project (ERC-2007-StG-208516).en_US
dc.publisherCopernicus Publications on behalf of the European Geosciences Unionen_US
dc.rightsAttribution 3.0 Unported*
dc.titleSoil respiration at mean annual temperature predicts annual total across vegetation types and biomesen_US

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Attribution 3.0 Unported
Except where otherwise noted, this item's license is described as Attribution 3.0 Unported