省尺度森林植被碳储量空间分布模拟不确定性分析——以江西省为例（英文）

编号 zgly0001584424

文献类型 期刊论文

文献题名 省尺度森林植被碳储量空间分布模拟不确定性分析——以江西省为例（英文）

作者 王轶夫  岳天祥  雷渊才  杜正平  赵明伟 

作者单位 StateKeyLaboratoryofResourcesandEnvironmentInformationSystem  InstituteofGeographicSciencesandNaturalResourcesResearch  CAS  UniversityofChineseAcademyofSciences  ChineseAcademyofForestry  AnhuiCenterforCollaborativeInnovationi 

母体文献 Journal of Geographical Sciences 

年卷期 2016年05期

年份 2016 

分类号 S718.5 

关键词 forestcarbonstock  HASM  AVIM2  Kriging  Satellite-dataBasedApproach(SBA) 

文摘内容 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/m~2 and 94.32×109 m~2 simulated by HASM, respectively.