Climate change vulnerability assessment for smallholder farmers in China: An extended framework
文献类型:期刊论文
作者 | Xu, Xiangbo2,3; Wang, Le4; Sun, Mingxing2,3; Fu, Chao2,3; Bai, Yunli2,3; Li, Chang1,2,3; Zhang, Linxiu2,3 |
刊名 | JOURNAL OF ENVIRONMENTAL MANAGEMENT
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出版日期 | 2020-12-15 |
卷号 | 276页码:13 |
关键词 | Climate change Vulnerable regions Vulnerability assessment Adaptive capacity Sustainable livelihoods |
ISSN号 | 0301-4797 |
DOI | 10.1016/j.jenvman.2020.111315 |
通讯作者 | Sun, Mingxing(sunmx@igsnrr.ac.cn) |
英文摘要 | Climate change brings uncertainty and challenges to achieving sustainable development goals. The dually vulnerable regions in terms of the environment and economy are facing substantial threats from climate change; particularly, smallholder farmers who heavily rely on natural ecosystems in these regions are being the most affected. Paying attention to the vulnerability assessment of these regions is conducive to precisely improving the ability of their people to cope with climate change. This study aimed to construct an extended framework of climate change vulnerability assessment at the household level by combining the Intergovernmental Panel on Climate Change vulnerability assessment framework with the sustainable livelihood framework. Four typical regions with different climatic and geographical conditions in China, including the Inner Mongolia Autonomous Region (marked as AOHAN, representing the type of grassland, similarly hereinafter), Qinghai Province (HYMH, plateau), Yunnan Province (YLNL, mountain), and the Guangxi Zhuang Autonomous Region (NNQZ, coastal zone), were selected to apply the framework. In total, 29 villages from these four regions were selected at random, and 360 face-to-face interviews were conducted in selected villages based on a pretested questionnaire. The results show that AOHAN had the greatest vulnerability, as well as the highest exposure level among the four regions, which was also the major source of differences in vulnerability. Further analysis shows that although the sensitivity and adaptive capacity showed relatively small differences, the sources of sensitivity and adaptation strategies were quite different among the four regions. In terms of sensitivity, YLNL had the highest level of sensitivity in housing, water, and livestock, and AOHAN assumed the highest sensitivity in land. The advantages and disadvantages in terms of adaptive capacity also varied widely among the four regions. More specifically, AOHAN had a balanced adaptive capacity; YLNL largely relied on the advantages in social and human capitals to compensate for the disadvantage in physical capital; and the strengths in physical and financial capitals are the main sources of adaptive capacities for NNQZ and HYMH, respectively. In general, the vulnerability assessment framework proposed in this study provides guidelines for vulnerability assessments at the household level in the face of climate change. In addition, heterogeneous measures to cope with the threats of climate change should be put forward precisely, based on the climatic, geographical and socioeconomic characteristics of each region. |
WOS关键词 | SCALE ; CITY |
资助项目 | open research fund of key laboratory of ecosystem network observation and simulation, Chinese academy of sciences[O8R8B6J5Y4] ; Strategic Priority Research Program of the Chinese Academy of Science[XDA20010303] ; National Natural Science Foundation of China[41901255] |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:000593971100013 |
出版者 | ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD |
资助机构 | open research fund of key laboratory of ecosystem network observation and simulation, Chinese academy of sciences ; Strategic Priority Research Program of the Chinese Academy of Science ; National Natural Science Foundation of China |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/137007] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Sun, Mingxing |
作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 3.United Nations Environm Programme, Int Ecosyst Management Partnership, Beijing 100101, Peoples R China 4.Renmin Univ China, Sch Environm & Nat Resources, Beijing 100872, Peoples R China |
推荐引用方式 GB/T 7714 | Xu, Xiangbo,Wang, Le,Sun, Mingxing,et al. Climate change vulnerability assessment for smallholder farmers in China: An extended framework[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2020,276:13. |
APA | Xu, Xiangbo.,Wang, Le.,Sun, Mingxing.,Fu, Chao.,Bai, Yunli.,...&Zhang, Linxiu.(2020).Climate change vulnerability assessment for smallholder farmers in China: An extended framework.JOURNAL OF ENVIRONMENTAL MANAGEMENT,276,13. |
MLA | Xu, Xiangbo,et al."Climate change vulnerability assessment for smallholder farmers in China: An extended framework".JOURNAL OF ENVIRONMENTAL MANAGEMENT 276(2020):13. |
入库方式: OAI收割
来源:地理科学与资源研究所
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