Quantitative assessment of ecosystem vulnerability to climate change: methodology and application in China
Gao, Jiangbo1; Jiao, Kewei1,2; Wu, Shaohong1
刊名ENVIRONMENTAL RESEARCH LETTERS
2018-09-01
卷号13期号:9页码:11
关键词ecosystem vulnerability sensitivity adaptability climate change China
ISSN号1748-9326
DOI10.1088/1748-9326/aadd2e
通讯作者Gao, Jiangbo(gaojiangbo@igsnrr.ac.cn)
英文摘要Understanding how ecosystem vulnerability in response to climate change is generated and distributed is an important topic; however, quantitative assessments of the vulnerability process remain relatively rare. The Intergovernmental Panel on Climate Change (IPCC) regards ecosystem vulnerability as sensitivity or susceptibility to harm, lacking the capacity to cope and adapt. Through analysis of the concept of vulnerability, we propose a response-based quantitative method to assess ecosystem vulnerability, integrating the concepts of sensitivity and adaptability. This method was applied to assess ecosystem vulnerability in China from 1981 to 2050. The results indicated that vulnerability would develop in nearly 30% of the terrestrial ecosystems of China. Vulnerability would be severe in the grassland and desert ecosystems, distributed mainly in the Tianshan Mountain and the Inner Mongolia Plateau. As the effects of sensitivity and adaptability to temperature and precipitation differ, obvious regional differences exist between the ecosystem vulnerability zones in China. For example, the effects of climate warming would be severe in the northwest of the Loess Plateau, with the vulnerability caused mainly by high sensitivity to warming. However, the vulnerability in the southeastern part would be caused mainly by low adaptability to increasing precipitation. Compared with previous research, our method emphasizes the critical role of adaptability, which enhances the scientificity and reasonableness of assessing ecosystem vulnerability, and enriches the methodology adopted under the IPCC framework. However, as we did not consider fully the autonomous adaptation mechanism in ecosystem vulnerability, this aspect should be combined with other factors in future study.
资助项目'Strategic Priority Research Program' of the Chinese Academy of Sciences[XDA20020202] ; National Natural Science Foundation of China[41671098] ; National Natural Science Foundation of China[41530749] ; National Basic Research Program of China[2015CB452702] ; project of 'urgent and important issues for addressing climate change post Paris Climate Conference' ; China Clean Development Mechanism Fund Grants Program[2014108]
WOS关键词ADAPTIVE CAPACITY ; AGRICULTURAL VULNERABILITY ; CHANGE IMPACTS ; EAST-ASIA ; VEGETATION ; FUTURE ; MODEL ; SENSITIVITY ; ADAPTATION ; EXPOSURE
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
语种英语
出版者IOP PUBLISHING LTD
WOS记录号WOS:000444428800001
资助机构'Strategic Priority Research Program' of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Basic Research Program of China ; project of 'urgent and important issues for addressing climate change post Paris Climate Conference' ; China Clean Development Mechanism Fund Grants Program
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/52907]  
专题中国科学院地理科学与资源研究所
通讯作者Gao, Jiangbo
作者单位1.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
2.Chinese Acad Sci, Key Lab Forest Ecol & Management, Inst Appl Ecol, Shenyang, Liaoning, Peoples R China
推荐引用方式
GB/T 7714
Gao, Jiangbo,Jiao, Kewei,Wu, Shaohong. Quantitative assessment of ecosystem vulnerability to climate change: methodology and application in China[J]. ENVIRONMENTAL RESEARCH LETTERS,2018,13(9):11.
APA Gao, Jiangbo,Jiao, Kewei,&Wu, Shaohong.(2018).Quantitative assessment of ecosystem vulnerability to climate change: methodology and application in China.ENVIRONMENTAL RESEARCH LETTERS,13(9),11.
MLA Gao, Jiangbo,et al."Quantitative assessment of ecosystem vulnerability to climate change: methodology and application in China".ENVIRONMENTAL RESEARCH LETTERS 13.9(2018):11.
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