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                                       Details van artikel 123 van 146 gevonden artikelen
 
 
  Soil respiration at mean annual temperature predicts annual total across vegetation types and biomes
 
 
Titel: Soil respiration at mean annual temperature predicts annual total across vegetation types and biomes
Auteur: M. Bahn
M. Reichstein
E. A. Davidson
J. Grünzweig
M. Jung
M. S. Carbone
D. Epron
L. Misson
Y. Nouvellon
O. Roupsard
K. Savage
S. E. Trumbore
C. Gimeno
J. Curiel Yuste
J. Tang
R. Vargas
I. A. Janssens
Verschenen in: Biogeosciences discussions
Paginering: Jaargang 6 (2009) nr. 6 pagina's 11501-11520
Jaar: 2009
Inhoud: Soil respiration (SR) constitutes the largest flux of CO2 from terrestrial ecosystems to the atmosphere. 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 72 site-years for 58 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 MAT), irrespective of the type of ecosystem and biome. This convergence is to be 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 SR MAT corrected for a factor related to P/PET. Our finding indicates that it is sufficient to measure SR MAT for obtaining a highly constrained estimate of its annual total. This should substantially increase our capacity for assessing the spatial distribution and interannual variation of soil CO2 emissions across ecosystems, landscapes and regions, and thereby contribute to improving the spatio-temporal resolution of a major component of the global carbon cycle.
Uitgever: Copernicus GmbH (provided by DOAJ)
Bronbestand: Elektronische Wetenschappelijke Tijdschriften
 
 

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