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

Bahn, M., Reichstein, M., Davidson, E. A., Grünzweig, J., Jung, M., Carbone, M. S., et al. (2010). Soil respiration at mean annual temperature predicts annual total across vegetation types and biomes. Biogeosciences, 7(7), 2147-2157. doi:10.5194/bg-7-2147-2010.

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http://dx.doi.org/10.5194/bg-7-2147-2010 (Publisher version)
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 Creators:
Bahn, M., Author
Reichstein, M.1, Author           
Davidson, E. A., Author
Grünzweig, J., Author
Jung, M.1, Author           
Carbone, M. S., Author
Epron, D., Author
Misson, L., Author
Nouvellon, Y., Author
Roupsard, O., Author
Savage, K., Author
Trumbore, S. E.2, Author           
Gimeno, C., Author
Yuste, J. C., Author
Tang, J., Author
Vargas, R., Author
Janssens, I. A., Author
Affiliations:
1Research Group Biogeochemical Model-data Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497760              
2Department Biogeochemical Processes, Prof. S. E. Trumbore, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497752              

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Free keywords: ground carbon allocation interannual variability terrestrial ecosystems temporal resolution forest ecosystems CO2 production dioxide patterns scales q(10)
 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 (Q(10)). 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.

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Language(s): eng - English
 Dates: 2010
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.5194/bg-7-2147-2010
ISI: ://000280515300008
Other: BGC1385
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Title: Biogeosciences
Source Genre: Journal
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Publ. Info: Katlenburg-Lindau, Germany : Copernicus GmbH on behalf of the European Geosciences Union
Pages: - Volume / Issue: 7 (7) Sequence Number: - Start / End Page: 2147 - 2157 Identifier: CoNE: https://pure.mpg.de/cone/journals/resource/111087929276006
ISSN: 1726-4170