Predicting dynamics of soil organic carbon mineralization with a double exponential model in different forest belts of China

Li-xia Yang , Jian-jun Pan , Shao-feng Yuan

Journal of Forestry Research ›› 2006, Vol. 17 ›› Issue (1) : 39 -43.

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Journal of Forestry Research ›› 2006, Vol. 17 ›› Issue (1) : 39 -43. DOI: 10.1007/s11676-006-0009-1
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Predicting dynamics of soil organic carbon mineralization with a double exponential model in different forest belts of China

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Abstract

The dynamics of soil organic carbon (SOC) was analyzed by using laboratory incubation and double exponential model that mineralizable SOC was separated into active carbon pools and slow carbon pools in forest soils derived from Changbai and Qilian Mountain areas. By analyzing and fitting the CO2 evolved rates with SOC mineralization, the results showed that active carbon pools accounted for 1.0% to 8.5% of SOC with an average of mean resistant times (MRTs) for 24 days, and slow carbon pools accounted for 91% to 99% of SOC with an average of MRTs for 179 years. The sizes and MRTs of slow carbon pools showed that SOC in Qilian Mountain sites was more difficult to decompose than that in Changbai Mountain sites. By analyzing the effects of temperature, soil clay content and elevation on Soc mineralization, results indicated that mineralization of SOC was directly related to temperature and that content of accumulated SOC and size of slow carbon pools from Changbai Mountain and Qilian Mountain sites increased linearly with increasing clay content, respectively, which showed temperature and clay content could make greater effect on mineralization of SOC.

Keywords

Soil organic carbon / Organic carbon mineralization / Double exponential model / Active carbon pools / Slow carbon pools / Mean resistant times (MRTs)

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Li-xia Yang, Jian-jun Pan, Shao-feng Yuan. Predicting dynamics of soil organic carbon mineralization with a double exponential model in different forest belts of China. Journal of Forestry Research, 2006, 17(1): 39-43 DOI:10.1007/s11676-006-0009-1

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