Decision-making in climate change adaptation through a cross-sectoral approach: review
Decision-making in climate change adaptation through a cross-sectoral approach: review
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通过跨部门方法适应气候变化的决策：审查
DOI：
10.1088/1755-1315/1016/1/012034
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Noda Keigo
中科院分区：
文献类型：
--
作者：
Lamichhane Aastha;Khoiru Zaki Muhamad;Okiria Emmanuel;Noda Keigo
由于全球气温持续上升，对自然生物多样性和人类生命构成威胁，适应气候变化（CCA）是近年来的一个新兴话题。其多样性性质需要广泛部门的努力来应对或调整。本综述旨在系统地研究 CCA 决策中的跨部门方法，并探讨这些方法可能的优点和缺点。回顾了有关多标准决策方法或多标准分析（MCA）的文献，因为它被认为是整合多个部门并结合部门和区域方面（主要是农业和水资源管理）流行的货币和非货币术语的整体方法。通过 Scopus 检索文献，并采用 PRISMA 方法根据我们的标准系统地精炼已发表的文章。在发现的 383 篇文章中，有 139 篇与 CCA 相关，其中 33 篇以 MCA 作为方法论的文章入围核心研究。结果表明，MCA广泛应用于CCA决策、优先考虑选项以及制定地方和区域尺度的适应策略，并且由于利益相关者的积极参与和专家的判断而被认为是一种灵活、透明和有效的方法。但其无法解决气候变化情景的潜在不确定性是其主要缺点之一。因此，许多文献建议将敏感性分析、动态自适应路径、实物期权分析或鲁棒决策分析与 MCA 结合起来，以克服这些深层的不确定性。
Climate change adaptation (CCA) is an emerging topic in recent years since global temperature is continuing to rise and posing threats to natural biodiversity and human life. Its diverse nature requires efforts from a broad range of sectors to cope or adjust. This review paper aims to systematically study the cross-sectoral approaches in CCA decision making and develop probable strengths and shortcomings of those approaches. Literatures concerned with Multi-Criteria Decision-Making Method, or Multi-Criteria Analysis (MCA) are reviewed since it is considered as a holistic approach to integrate multiple sectors and combine monetary and non-monetary terms prevailing in sectoral and regional aspects, mainly in agriculture and water resource management. The literatures were searched through Scopus and PRISMA method was adopted to systematically refine the published articles based on our criteria. Out of 383 articles discovered, 139 were related to CCA out of which, 33 articles which applied MCA as their methodological approach were shortlisted for the core study. The result showed that MCA is extensively used in CCA decision making, prioritizing options, and formulating adaptation strategies at local and regional scale and considered as a flexible, transparent, and effective method because of an active engagement of stakeholders and experts’ judgement. But its inability to address the underlying uncertainties of climate change scenario is one of the major drawbacks seen. Thus, many literatures suggest incorporating Sensitivity analysis, Dynamic Adaptive Pathways, Real Option Analysis, or Robust Decision-Making Analysis with MCA to overcome those deep uncertainties.
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DOI：
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DOI：
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