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Carbon storage in China's forest ecosystems: estimation by different integrative methods
Peng S. L.; Wen, D.; He, N. P.; Yu, G. R.; Ma, A. N.; Wang, Q. F.
Source PublicationEcology and Evolution
2016
Volume6
Issue10
Pages3129-3145
KeywordCarbon storage coefficient variation forest type classification multimethodology spatial interpolation uncertain soil organic-carbon terrestrial ecosystems aboveground biomass green program vegetation patterns stocks sequestration geostatistics climate
AbstractCarbon (C) storage for all the components, especially dead mass and soil organic carbon, was rarely reported and remained uncertainty in China's forest ecosystems. This study used field-measured data published between 2004 and 2014 to estimate C storage by three forest type classifications and three spatial interpolations and assessed the uncertainty in C storage resulting from different integrative methods in China's forest ecosystems. The results showed that C storage in China's forest ecosystems ranged from 30.99 to 34.96 Pg C by the six integrative methods. We detected 5.0% variation (coefficient of variation, CV, %) among the six methods, which was influenced mainly by soil C estimates. Soil C density and storage in the 0-100 cm soil layer were estimated to be 136.11-153.16 Mg C.ha(-1) and 20.63-23.21 Pg C, respectively. Dead mass C density and storage were estimated to be 3.66-5.41 Mg C.ha(-1) and 0.68-0.82 Pg C, respectively. Mean C storage in China's forest ecosystems estimated by the six integrative methods was 8.557 Pg C (25.8%) for aboveground biomass, 1.950 Pg C (5.9%) for belowground biomass, 0.697 Pg C (2.1%) for dead mass, and 21.958 Pg C (66.2%) for soil organic C in the 0-100 cm soil layer. The R:S ratio was 0.23, and C storage in the soil was 2.1 times greater than in the vegetation. Carbon storage estimates with respect to forest type classification (38 forest subtypes) were closer to the average value than those calculated using the spatial interpolation methods. Variance among different methods and data sources may partially explain the high uncertainty of C storage detected by different studies. This study demonstrates the importance of using multimethodological approaches to estimate C storage accurately in the large-scale forest ecosystems.
Indexed BySCI
Language英语
ISSN2045-7758
DOI10.1002/ece3.2114
Citation statistics
Document TypeSCI/SSCI论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/43166
Collection历年回溯文献
Recommended Citation
GB/T 7714
Peng S. L.,Wen, D.,He, N. P.,et al. Carbon storage in China's forest ecosystems: estimation by different integrative methods. 2016.
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