{"title":"A proposed method for analyzing historical adaptation pathways of coupled natural-human systems","authors":"Tess Doeffinger , A.R. Siders","doi":"10.1016/j.envsci.2024.103969","DOIUrl":null,"url":null,"abstract":"<div><div>Historical adaptation pathways (HAP) analyses identify sequences of multi-causal factors that shape climate change adaptation actions. Such analyses can be valuable for understanding why systems respond differently to climate risks, assessing important adaptation drivers and constraints, and identifying potential path dependencies. This paper synthesizes existing (and still emerging) HAP methods in order to present a more standardized and generalized approach to studying historic adaptations. The proposed method combines inductive and deductive approaches and draws on established practices from grounded theory to increase validity, including process tracing, memoing, construct definition, and member checking. This approach is designed to provide historical and contextual information that can be incorporated into a decision model or be shared with stakeholders and community members. In addition, future comparative studies based on this replicable approach could allow for theorization as to the casual mechanisms that engender successful adaptation. The approach is illustrated using a coastal adaptation case study in South Carolina, USA, with one of the main insights being that the island would not exist in its current form without the actions taken by concerned citizens, whose efforts ultimately helped combat the erosion caused (in part) by local jetties. Several areas for methodological improvement and theoretical development are also noted, as the aim of this work is both to enable cross-study comparisons of future HAP research – which can inform adaptation practice – and to provide a method that can be improved upon in future iterations.</div></div>","PeriodicalId":313,"journal":{"name":"Environmental Science & Policy","volume":"163 ","pages":"Article 103969"},"PeriodicalIF":4.9000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Science & Policy","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1462901124003034","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Historical adaptation pathways (HAP) analyses identify sequences of multi-causal factors that shape climate change adaptation actions. Such analyses can be valuable for understanding why systems respond differently to climate risks, assessing important adaptation drivers and constraints, and identifying potential path dependencies. This paper synthesizes existing (and still emerging) HAP methods in order to present a more standardized and generalized approach to studying historic adaptations. The proposed method combines inductive and deductive approaches and draws on established practices from grounded theory to increase validity, including process tracing, memoing, construct definition, and member checking. This approach is designed to provide historical and contextual information that can be incorporated into a decision model or be shared with stakeholders and community members. In addition, future comparative studies based on this replicable approach could allow for theorization as to the casual mechanisms that engender successful adaptation. The approach is illustrated using a coastal adaptation case study in South Carolina, USA, with one of the main insights being that the island would not exist in its current form without the actions taken by concerned citizens, whose efforts ultimately helped combat the erosion caused (in part) by local jetties. Several areas for methodological improvement and theoretical development are also noted, as the aim of this work is both to enable cross-study comparisons of future HAP research – which can inform adaptation practice – and to provide a method that can be improved upon in future iterations.
期刊介绍:
Environmental Science & Policy promotes communication among government, business and industry, academia, and non-governmental organisations who are instrumental in the solution of environmental problems. It also seeks to advance interdisciplinary research of policy relevance on environmental issues such as climate change, biodiversity, environmental pollution and wastes, renewable and non-renewable natural resources, sustainability, and the interactions among these issues. The journal emphasises the linkages between these environmental issues and social and economic issues such as production, transport, consumption, growth, demographic changes, well-being, and health. However, the subject coverage will not be restricted to these issues and the introduction of new dimensions will be encouraged.