2002
DOI: 10.1016/s0304-3800(01)00485-9
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A one-compartment model to study soil carbon decomposition rate at equilibrium situation

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Cited by 24 publications
(12 citation statements)
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“…Based on natural vegetation and undisturbed sites of the global observed SOC density dataset (100 cm in depth) [46], Yang et al [47] reported a simple model for steady state k values as follows: knormalw=0.061PER0.7521,ifPER<1.0(R2=0.153;n=683;P<0.001) knormald=0.0476PER0.3305,ifPER>1.0(R2=0.038;n=292;P<0.05)where MAT is mean annual temperature, k w and k d decomposition rates for wet and dry soil conditions, respectively. PER provides an aridity index that represents the interactive impact of BT and PPT on decomposition rates [15,48,54].…”
Section: Methodsmentioning
confidence: 99%
“…Based on natural vegetation and undisturbed sites of the global observed SOC density dataset (100 cm in depth) [46], Yang et al [47] reported a simple model for steady state k values as follows: knormalw=0.061PER0.7521,ifPER<1.0(R2=0.153;n=683;P<0.001) knormald=0.0476PER0.3305,ifPER>1.0(R2=0.038;n=292;P<0.05)where MAT is mean annual temperature, k w and k d decomposition rates for wet and dry soil conditions, respectively. PER provides an aridity index that represents the interactive impact of BT and PPT on decomposition rates [15,48,54].…”
Section: Methodsmentioning
confidence: 99%
“…NPP within each climatological grid cell is estimated by using a modified version of Miami model (Friedlingstein et al 1992;Yang et al 2002), which predicts total NPP globally from precipitation and mean annual ''biotemperature'' (only monthly temperatures in 0-30°C range are accounted for mean annual biotemperature), instead of simple mean temperature used by the original Miami model (Lieth 1975). Estimates by this simple NPP model are reasonable for major biomes (Dai and Fung 1993), and we assume that this model is satisfactory to reproduce fundamental environmental dependencies of NPP.…”
Section: Litter Inputsmentioning
confidence: 99%
“…It is a scheme that uses the three bioclimatic variables derived from standard meteorological data to formulate the relation of climate patterns and broad-scale vegetation distribution. It has been widely accepted in projecting impacts of climate change on vegetation distributions (Chen et al, 2003(Chen et al, , 2005Chinea and Helmer, 2003;Kerr et al, 2003;Yang et al, 2002;Yue et al, 2001;Xu and Yan, 2001;Peng, 2000;Kirilenko et al, 2000;Powell et al, 2000;Dixon et al, 1999;Metternicht and Zinck, 1998;Belotelov et al, 1996;Smith et al, 1992;Post et al, 1982).…”
Section: Introductionmentioning
confidence: 99%