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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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 Urheber:
Bahn, M., Autor
Reichstein, M.1, Autor           
Davidson, E. A., Autor
Grünzweig, J., Autor
Jung, M.1, Autor           
Carbone, M. S., Autor
Epron, D., Autor
Misson, L., Autor
Nouvellon, Y., Autor
Roupsard, O., Autor
Savage, K., Autor
Trumbore, S. E.2, Autor           
Gimeno, C., Autor
Yuste, J. C., Autor
Tang, J., Autor
Vargas, R., Autor
Janssens, I. A., Autor
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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Schlagwörter: ground carbon allocation interannual variability terrestrial ecosystems temporal resolution forest ecosystems CO2 production dioxide patterns scales q(10)
 Zusammenfassung: 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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Sprache(n): eng - English
 Datum: 2010
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.5194/bg-7-2147-2010
ISI: ://000280515300008
Anderer: BGC1385
 Art des Abschluß: -

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Titel: Biogeosciences
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Katlenburg-Lindau, Germany : Copernicus GmbH on behalf of the European Geosciences Union
Seiten: - Band / Heft: 7 (7) Artikelnummer: - Start- / Endseite: 2147 - 2157 Identifikator: CoNE: https://pure.mpg.de/cone/journals/resource/111087929276006
ISSN: 1726-4170