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首页> 外文期刊>Journal of Environmental Management >Climate change vulnerability assessment for smallholder farmers in China: An extended framework
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Climate change vulnerability assessment for smallholder farmers in China: An extended framework

机译:中国小农农民的气候变化脆弱性评估:扩展框架

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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.
机译:气候变化为实现可持续发展目标带来了不确定性和挑战。环境和经济方面的双重弱势地区面临着气候变化的实质性威胁;特别是,大量依赖这些地区自然生态系统的小农是受影响最大的影响。关注这些地区的脆弱性评估有利于精确提高人民应对气候变化的能力。本研究旨在通过与可持续生计框架结合“气候变化脆弱性评估框架”的政府间委员会,在家庭级别构建家庭级别的扩展框架。中国的四个典型地区,中国不同的气候和地理条件,包括内蒙古自治区(标记为奥胡州,代表草原的类型,在下文中),青海省(Hymh,高原),云南省(ylnl,山),和广西庄自治区(NNQZ,沿海地区)被选中应用框架。总共有29个来自这四个地区的村庄,随机选择,基于预先测试问卷的选定村庄进行了360采访。结果表明,奥根有脆弱性最大,以及四个地区的最高曝光率,这也是脆弱性差异的主要来源。进一步的分析表明,尽管敏感度和自适应容量显示出相对较小的差异,但四个地区之间的灵敏度和适应策略的来源是完全不同的。在敏感度方面,YLNL在住房,水和牲畜中具有最高的敏感性,而奥南在陆地上具有最高的敏感性。自适应容量方面的优点和缺点也在四个地区之间广泛变化。更具体地说,奥根有平衡的自适应能力; YLNL在很大程度上依赖于社会和人民主义的优势,以弥补物理资本的劣势;物理和金融资金的优势分别是NNQZ和HYMH的适应性能力的主要来源。一般而言,本研究提出的漏洞评估框架为家庭水平面对气候变化提供了脆弱性评估的指导。此外,应以每个地区的气候,地理和社会经济特征为基础,以应对气候变化威胁的异质措施。

著录项

  • 来源
    《Journal of Environmental Management》 |2020年第15期|111315.1-111315.13|共13页
  • 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 100101 China International Ecosystem Management Partnership United Nations Environment Programme Beijing 100101 China;

    Renmin University of China School of Environment and Natural Resources Beijing 100872 China;

    Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China International Ecosystem Management Partnership United Nations Environment Programme Beijing 100101 China;

    Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China International Ecosystem Management Partnership United Nations Environment Programme Beijing 100101 China;

    Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China International Ecosystem Management Partnership United Nations Environment Programme Beijing 100101 China;

    Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China International Ecosystem Management Partnership United Nations Environment Programme Beijing 100101 China University of Chinese Academy of Sciences Beijing 100049 China;

    Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China International Ecosystem Management Partnership United Nations Environment Programme Beijing 100101 China;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Climate change; Vulnerable regions; Vulnerability assessment; Adaptive capacity; Sustainable livelihoods;

    机译:气候变化;弱势区域;漏洞评估;自适应容量;可持续生计;

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