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Role of Spatial Analysis in Avoiding Climate Change Maladaptation: A Systematic Review

期刊

SUSTAINABILITY
卷 13, 期 6, 页码 -

出版社

MDPI
DOI: 10.3390/su13063450

关键词

climate change adaptation; maladaptation; spatial and temporal; land spatial analysis; systematic literature review

资金

  1. National Sun Yat-sen University
  2. Ministry of Science and Technology (Overseas Project for Post Graduate Research) [MOST-106-2917-I-110-003]

向作者/读者索取更多资源

Maladaptation, associated with risk transfer and risk substitution, has not received enough research attention; combining spatial land analysis with climate change analysis is crucial for identifying maladaptation; further research should integrate spatial land analysis methods to avoid maladaptive risk.
With the rapid development of climate change adaptation over recent decades, a considerable amount of evidence has been collected on maladaptation associated with climate change adaptation initiatives, particularly in terms of risk transfer and risk substitution. Increasing our understanding of maladaptation is important for avoiding negative outcomes of adaptation project implementation. However, maladaptation has received limited research attention. Previous research has focused on frameworks that can assist in defining and avoiding maladaptive risk and be applied to adaptation initiative planning processes. Adaptation may cause more significant influences on spatial land change than the direct effect of climate change does. Identifying the adaptation consequences that are likely to result in maladaptation is crucial. A combination of spatial land analysis and climate change analysis can be used for the aforementioned identification. However, empirical case studies on methods that can assess and evaluate the risk of maladaptation by integrating spatial and temporal aspects in a land spatial modeling tool have not been conducted. The present study aimed to fill this research gap by exploring the existing knowledge on maladaptation to climate change. We examined the interaction among spatial analysis, evaluated maladaptation frameworks, and project design to extend our conceptual understanding on maladaptation to climate change. We adopted a systematic review method that involved considering several questions including the following: (a) What are the definitions and categories of maladaptation? (b) What methods and theoretical frameworks exist for the assessment and evaluation of maladaptive risk? (c) How have climate-related research communities considered issues of maladaptation? (d) What are the experimental studies on land use change that can be referred to for minimizing maladaptive risks in future adaptation planning? In conclusion, further research on maladaptation should integrate spatial land analysis methods to facilitate the identification and avoidance of maladaptive risk in the initial stage of adaptation planning.

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