典型文献
Analysis of spatio-temporal changes in forest biomass in China
文献摘要:
Forests play a central role in the global carbon cycle.China's forests have a high carbon sequestration potential owing to their wide distribution,young age and relatively low carbon density.Forest biomass is an essential variable for assessing carbon sequestration capacity,thus determining the spatio-temporal changes of forest biomass is critical to the national carbon budget and to contribute to sustainable forest management.Based on Chinese for-est inventory data (1999-2013),this study explored spatial patterns of forest biomass at a grid resolution of 1 km by applying a downscaling method and further analyzed spatio-temporal changes of biomass at different spatial scales.The main findings are:(1) the regression relationship between forest biomass and the associated influencing factors at a provincial scale can be applied to estimate biomass at a pixel scale by employing a downscaling method;(2) for-est biomass had a distinct spatial pattern with the greatest biomass occurring in the major mountain ranges;(3) forest biomass changes had a notable spatial distribution pattern;increase (i.e.,carbon sinks) occurred in east and southeast China,decreases (i.e.,carbon sources) were observed in the northeast to southwest,with the largest biomass losses in the Hengduan Mountains,Southern Hainan and Northern Da Hinggan Mountains;and,(4) forest vegetation functioned as a carbon sink during 1999-2013 with a net increase in biomass of 3.71 Pg.
文献关键词:
中图分类号:
作者姓名:
Weiyi Xu;Xiaobin Jin;Jing Liu;Xuhong Yang;Jie Ren;Yinkang Zhou
作者机构:
School of Geography and Ocean Sciences,Nanjing University,Nanjing 210023,People's Republic of China;Key Laboratory of Coastal Zone Exploitation and Protection,Ministry of Land and Resources,Nanjing 210023,People's Republic of China;Natural Resources Research Center,Nanjing University,Nanjing 210023,People's Republic of China
文献出处:
引用格式:
[1]Weiyi Xu;Xiaobin Jin;Jing Liu;Xuhong Yang;Jie Ren;Yinkang Zhou-.Analysis of spatio-temporal changes in forest biomass in China)[J].林业研究(英文版),2022(01):261-278
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AB值:
0.557283
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