globalchange  > 影响、适应和脆弱性
DOI: 10.1111/gcb.13479
论文题名:
Vegetation carbon sequestration in Chinese forests from 2010 to 2050
作者: He N.; Wen D.; Zhu J.; Tang X.; Xu L.; Zhang L.; Hu H.; Huang M.; Yu G.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2017
卷: 23, 期:4
起始页码: 1575
结束页码: 1584
语种: 英语
英文关键词: carbon sequestration rate ; climate ; forest ; forest C sequestration model ; logistic ; storage
英文摘要: 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. © 2016 John Wiley & Sons Ltd
资助项目: We thank National Climate Center for providing the data of their simulations by regional climate model and appreciate the data share from National Data Sharing Infrastructure of Earth System Science (http://www.geodata.cn/). This work was funded by the National Key Research Project of China (2016YFC0500202), the National Natural Science Foundation of China (41571130043, 31290221, 31470506, 31570471), the Chinese Academy of Sciences Strategic Priority Research Program (XDA05050702), the Program for Kezhen Distinguished Talents in Institute of Geographic Sciences and Natural Resources Research (2013RC102), and Youth Innovation Promotion Association CAS.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/60996
Appears in Collections:影响、适应和脆弱性

Files in This Item:

There are no files associated with this item.


作者单位: Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Key Laboratory of Vegetation Restoration and Management of Degraded ecosystems, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China; State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, The Chinese Academy of Sciences, Beijing, China

Recommended Citation:
He N.,Wen D.,Zhu J.,et al. Vegetation carbon sequestration in Chinese forests from 2010 to 2050[J]. Global Change Biology,2017-01-01,23(4)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[He N.]'s Articles
[Wen D.]'s Articles
[Zhu J.]'s Articles
百度学术
Similar articles in Baidu Scholar
[He N.]'s Articles
[Wen D.]'s Articles
[Zhu J.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[He N.]‘s Articles
[Wen D.]‘s Articles
[Zhu J.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.