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

dc.contributor.author Bahn, Michael
dc.contributor.author Reichstein, M.
dc.contributor.author Davidson, Eric A.
dc.contributor.author Grunzweig, J.
dc.contributor.author Jung, M.
dc.contributor.author Carbone, M. S.
dc.contributor.author Epron, D.
dc.contributor.author Misson, L.
dc.contributor.author Nouvellon, Y.
dc.contributor.author Roupsard, O.
dc.contributor.author Savage, K.
dc.contributor.author Trumbore, Susan E.
dc.contributor.author Gimeno, C.
dc.contributor.author Curiel Yuste, J.
dc.contributor.author Tang, Jianwu
dc.contributor.author Vargas, Rodrigo
dc.contributor.author Janssens, Ivan A.
dc.date.accessioned 2010-08-24T16:07:19Z
dc.date.available 2010-08-24T16:07:19Z
dc.date.issued 2010-07-09
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.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. en_US
dc.description.sponsorship Data 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.format.mimetype application/pdf
dc.identifier.citation Biogeosciences 7 (2010): 2147-2157 en_US
dc.identifier.doi 10.5194/bg-7-2147-2010
dc.identifier.uri https://hdl.handle.net/1912/3859
dc.language.iso en en_US
dc.publisher Copernicus Publications on behalf of the European Geosciences Union en_US
dc.relation.uri https://doi.org/10.5194/bg-7-2147-2010
dc.rights Attribution 3.0 Unported *
dc.rights.uri http://creativecommons.org/licenses/by/3.0/ *
dc.title Soil respiration at mean annual temperature predicts annual total across vegetation types and biomes en_US
dc.type Article en_US
dspace.entity.type Publication
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