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Uncertainty of forest biomass carbon patterns simulation on provincial scale: A case study in Jiangxi Province, China
Wang Y. F.; Yue, T. X.; Lei, Y. C.; Du, Z. P.; Zhao, M. W.
Source PublicationJournal of Geographical Sciences
2016
Volume26
Issue5
Pages568-584
Keywordforest carbon stock HASM AVIM2 Kriging Satellite-data Based Approach (SBA) terrestrial ecosystems spatial-distribution dem construction soil properties dynamics storage hasm stocks
AbstractForest vegetation carbon patterns are significant for evaluating carbon emission and accumulation. Many methods were used to simulate patterns of forest vegetation carbon stock in previous studies, however, uncertainty apparently existed between results of different methods, even estimates of same method in different studies. Three previous methods, including Atmosphere-vegetation interaction model 2 (AVIM2), Kriging, Satellite-data Based Approach (SBA), and a new method, High Accuracy Surface Modeling (HASM), were used to simulate forest vegetation carbon stock patterns in Jiangxi Province in China. Cross-validation was used to evaluate methods. The uncertainty and applicability of the four methods on provincial scale were analyzed and discussed. The results showed that HASM had the highest accuracy, which improved by 50.66%, 33.37% and 28.58%, compared with AVIM2, Kriging and SBA, respectively. Uncertainty of simulation of forest biomass carbon stock was mainly derived from modeling error, sampling error and statistical error of forest area. Total forest carbon stock, carbon density and forest area of Jiangxi were 288.62 Tg, 3.06 kg/m(2) and 94.32x10(9) m(2) simulated by HASM, respectively.
Indexed BySCI
Language英语
ISSN1009-637X
DOI10.1007/s11442-016-1286-z
Citation statistics
Document TypeSCI/SSCI论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/43299
Collection历年回溯文献
Recommended Citation
GB/T 7714
Wang Y. F.,Yue, T. X.,Lei, Y. C.,et al. Uncertainty of forest biomass carbon patterns simulation on provincial scale: A case study in Jiangxi Province, China. 2016.
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