Knowledge Management System Of Institute Of Botany,CAS
Vegetation carbon sequestration in Chinese forests from 2010 to 2050 | |
He, Nianpeng1; Wen, Ding; Zhu, Jianxing1; Tang, Xuli2; Xu, Li1; Zhang, Li; Hu, Huifeng3; Huang, Mei; Yu, Guirui | |
2017 | |
发表期刊 | GLOBAL CHANGE BIOLOGY |
ISSN | 1354-1013 |
卷号 | 23期号:4页码:1575-1584 |
摘要 | Forests store a large part of the terrestrial vegetation carbon (C) and have high C sequestration potential. Here, we developed a new forest C sequestration (FCS) model based on the secondary succession theory, to estimate vegetation C sequestration capacity in China's forest vegetation. The model used the field measurement data of 3161 forest plots and three future climate scenarios. The results showed that logistic equations provided a good fit for vegetation biomass with forest age in natural and planted forests. The FCS model has been verified with forest biomass data, and model uncertainty is discussed. The increment of vegetation C storage in China's forest vegetation from 2010 to 2050 was estimated as 13.92 Pg C, while the average vegetation C sequestration rate was 0.34 Pg C yr(-1) with a 95% confidence interval of 0.28-0.42 Pg C yr (-1), which differed significantly between forest types. The largest contributor to the increment was deciduous broadleaf forest (37.8%), while the smallest was deciduous needleleaf forest (2.7%). The vegetation C sequestration rate might reach its maximum around 2020, although vegetation C storage increases continually. It is estimated that vegetation C sequestration might offset 6-8% of China's future emissions. Furthermore, there was a significant negative relationship between vegetation C sequestration rate and C emission rate in different provinces of China, suggesting that developed provinces might need to compensate for undeveloped provinces through C trade. Our findings will provide valuable guidelines to policymakers for designing afforestation strategies and forest C trade in China. |
关键词 | carbon sequestration rate climate forest forest C sequestration model logistic storage |
学科领域 | Environmental Sciences & Ecology |
DOI | 10.1016/j.envpol.2017.08.014 |
收录类别 | SCI |
语种 | 英语 |
WOS关键词 | OLD-GROWTH FORESTS ; CLIMATE-CHANGE ; TERRESTRIAL ECOSYSTEMS ; NET PRIMARY ; BIOMASS ; STORAGE ; TEMPERATURE ; DYNAMICS ; STOCKS ; PRECIPITATION |
WOS记录号 | WOS:000414881000018 |
出版者 | WILEY |
文献子类 | Article |
出版地 | HOBOKEN |
EISSN | 1365-2486 |
资助机构 | National Key Research Project of China [2016YFC0500202] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41571130043, 31290221, 31470506, 31570471] ; Chinese Academy of Sciences Strategic Priority Research Program [XDA05050702] ; Program for Kezhen Distinguished Talents in Institute of Geographic Sciences and Natural Resources Research [2013RC102] ; Youth Innovation Promotion Association CAS |
作者邮箱 | henp@igsnrr.ac.cn ; yugr@igsnrr.ac.cn |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ibcas.ac.cn/handle/2S10CLM1/22039 |
专题 | 植被与环境变化国家重点实验室 |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Key Lab Vegetat Restorat & Management Degraded Ec, South China Bot Garden, Guangzhou 510650, Guangdong, Peoples R China 4.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China |
推荐引用方式 GB/T 7714 | He, Nianpeng,Wen, Ding,Zhu, Jianxing,et al. Vegetation carbon sequestration in Chinese forests from 2010 to 2050[J]. GLOBAL CHANGE BIOLOGY,2017,23(4):1575-1584. |
APA | He, Nianpeng.,Wen, Ding.,Zhu, Jianxing.,Tang, Xuli.,Xu, Li.,...&Yu, Guirui.(2017).Vegetation carbon sequestration in Chinese forests from 2010 to 2050.GLOBAL CHANGE BIOLOGY,23(4),1575-1584. |
MLA | He, Nianpeng,et al."Vegetation carbon sequestration in Chinese forests from 2010 to 2050".GLOBAL CHANGE BIOLOGY 23.4(2017):1575-1584. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
28800487.pdf(1828KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 请求全文 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论