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Evaluating regional vulnerability to climate change: purposes and methods

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  • Elizabeth L. Malone
  • Nathan L. Engle

Abstract

As the emphasis in climate change research, international negotiations, and developing‐country activities has shifted from mitigation to adaptation, vulnerability has emerged as a bridge between impacts on one side and the need for adaptive changes on the other. Still, the term vulnerability remains , its meaning changing with the scale, focus, and purpose of each assessment. Understanding regional vulnerability has advanced over the past several decades, with studies using a combination of indicators, case studies and analogs, stakeholder‐driven processes, and scenario‐building methodologies. As regions become increasingly relevant scales of inquiry for bridging the aggregate and local, for every analysis, it is perhaps most appropriate to ask three ‘what’ questions: ‘What/who is vulnerable?’, ‘What is vulnerability?’, and ‘Vulnerable to what?’ The answers to these questions will yield different definitions of vulnerability as well as different methods for assessing it. Vulnerability research that is primarily quantitative has been dominated by the use of indicators. Regional vulnerability research can also focus on or include stakeholder involvement processes, especially helpful in generating agreement on issues and understanding context‐specific aspects of vulnerability and prospective adaptations. Creating scenarios is another increasingly useful method that helps researchers, policymakers, and other stakeholders think about the future and plan options for alternative futures. Current research efforts are emphasizing stakeholder involvement, with a dual focus on vulnerability assessment and social learning in the process; and scenario analyses, which may be expert‐defined or stakeholder‐driven. Both tend to span impacts, vulnerability, and adaptation decision making for a particular place and conditions. WIREs Clim Change 2011 2 462–474 DOI: 10.1002/wcc.116 This article is categorized under: Assessing Impacts of Climate Change > Evaluating Future Impacts of Climate Change

Suggested Citation

  • Elizabeth L. Malone & Nathan L. Engle, 2011. "Evaluating regional vulnerability to climate change: purposes and methods," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 2(3), pages 462-474, May.
  • Handle: RePEc:wly:wirecc:v:2:y:2011:i:3:p:462-474
    DOI: 10.1002/wcc.116
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    Cited by:

    1. Giovanni Matteo & Pierfrancesco Nardi & Stefano Grego & Caterina Guidi, 2018. "Bibliometric analysis of Climate Change Vulnerability Assessment research," Environment Systems and Decisions, Springer, vol. 38(4), pages 508-516, December.
    2. Weifang Shi & Weihua Zeng, 2013. "Genetic k -Means Clustering Approach for Mapping Human Vulnerability to Chemical Hazards in the Industrialized City: A Case Study of Shanghai, China," IJERPH, MDPI, vol. 10(6), pages 1-18, June.
    3. Andrew Kliskey & Paula Williams & John T. Abatzoglou & Lilian Alessa & Richard B. Lammers, 2019. "Enhancing a community-based water resource tool for assessing environmental change: the arctic water resources vulnerability index revisited," Environment Systems and Decisions, Springer, vol. 39(2), pages 183-197, June.
    4. Yujie Liu & Qiaomin Chen & Qinghua Tan, 2019. "Responses of wheat yields and water use efficiency to climate change and nitrogen fertilization in the North China plain," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(6), pages 1231-1242, December.
    5. Mohmmed, Alnail & Li, Jianhua & Elaru, Joshua & Elbashier, Mohammed M.A. & Keesstra, Saskia & Artemi, Cerdà & Martin, Kabenge & Reuben, Makomere & Teffera, Zeben, 2018. "Assessing drought vulnerability and adaptation among farmers in Gadaref region, Eastern Sudan," Land Use Policy, Elsevier, vol. 70(C), pages 402-413.
    6. Yu Duan & Junnan Xiong & Weiming Cheng & Nan Wang & Yi Li & Yufeng He & Jun Liu & Wen He & Gang Yang, 2022. "Flood vulnerability assessment using the triangular fuzzy number-based analytic hierarchy process and support vector machine model for the Belt and Road region," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(1), pages 269-294, January.
    7. Thecla I. Akukwe & Chinedu Ogbodo, 2015. "Spatial Analysis of Vulnerability to Flooding in Port Harcourt Metropolis, Nigeria," SAGE Open, , vol. 5(1), pages 21582440155, March.

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