Comparison of the Performance of Statistical Models that Predict Soil Respiration from Forests

Soil respiration (Rs) is an important source of CO2 to the atmosphere, yet understanding the processes controlling the combined autotrophic and heterotrophic components has proven challenging. Numerous statistical models have been developed to explain Rs as a function of physical and chemical condit...

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Veröffentlicht in:	Soil Science Society of America journal 2009-07, Vol.73 (4), p.1157-1167
Hauptverfasser:	Webster, K.L, Creed, I.F, Skowronski, M.D, Kaheil, Y.H
Format:	Artikel
Sprache:	eng
Schlagworte:	Agronomy. Soil science and plant productions Atmospheric sciences Biochemistry and biology Biological and medical sciences carbon Chemical, physicochemical, biochemical and biological properties deciduous forests Earth sciences Earth, ocean, space Ecosystems Enzyme kinetics Exact sciences and technology forest litter forest soils Fundamental and applied biological sciences. Psychology Physics, chemistry, biochemistry and biology of agricultural and forest soils prediction Process controls Respiration Sample size Soil moisture soil respiration Soil science Soil temperature soil water Soils Statistical models Studies Surficial geology Temperature Topography
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