Uncertainty of forest biomass carbon patterns simulation on provincial scale: A case study in Jiangxi Province, China

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• 作者：Yifu Wang ; Tianxiang Yue ; Yuancai Lei ; Zhengping Du…
• 关键词：forest carbon stock ; HASM ; AVIM2 ; Kriging ; Satellite ; data Based Approach (SBA)
• 刊名：Journal of Geographical Sciences
• 出版年：2016
• 出版时间：May 2016
• 年：2016
• 卷：26
• 期：5
• 页码：568-584
• 全文大小：903 KB
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• 作者单位：Yifu Wang (1) (2)
  Tianxiang Yue (1) (2)
  Yuancai Lei (3)
  Zhengping Du (1)
  Mingwei Zhao (4)
  
  1. State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China
  2. University of Chinese Academy of Sciences, Beijing, 100049, China
  3. Chinese Academy of Forestry, Beijing, 100091, China
  4. Anhui Center for Collaborative Innovation in Geographical Information Integration and Application, Chuzhou University, Chuzhou, 239012, Anhui, China
  
• 刊物主题：Physical Geography; Nature Conservation; Geographical Information Systems/Cartography; Remote Sensing/Photogrammetry;
• 出版者：Springer Berlin Heidelberg
• ISSN：1861-9568

文摘

Forest 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/m2 and 94.32×109 m2 simulated by HASM, respectively.