A proposed method for analyzing historical adaptation pathways of coupled natural-human systems

IF 5.2 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Environmental Science & Policy Pub Date : 2025-01-01 Epub Date: 2024-12-12 DOI:10.1016/j.envsci.2024.103969
Tess Doeffinger , A.R. Siders
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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.
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提出了一种分析自然-人耦合系统历史适应路径的方法
历史适应路径(HAP)分析确定了影响气候变化适应行动的多原因因子序列。这类分析对于理解系统对气候风险做出不同反应的原因、评估重要的适应驱动因素和制约因素以及识别潜在的路径依赖关系具有重要价值。本文综合了现有的(和仍在出现的)HAP方法,以提出一种更标准化和广义的方法来研究历史适应。所提出的方法结合归纳和演绎的方法,并从扎根的理论中借鉴已建立的实践来提高有效性,包括过程跟踪,记忆,构造定义和成员检查。该方法旨在提供历史和上下文信息,这些信息可以合并到决策模型中,或者与涉众和社区成员共享。此外,基于这种可复制方法的未来比较研究可以将产生成功适应的偶然机制理论化。该方法以美国南卡罗来纳州的沿海适应案例研究为例进行了说明,其中一个主要的见解是,如果没有关心该岛的公民采取的行动,该岛将不会以目前的形式存在,他们的努力最终有助于对抗当地码头造成的侵蚀(部分)。还指出了方法改进和理论发展的几个领域,因为这项工作的目的是使未来的HAP研究能够进行交叉研究比较-这可以为适应实践提供信息-并提供一种可以在未来迭代中改进的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Environmental Science & Policy
Environmental Science & Policy 环境科学-环境科学
CiteScore
10.90
自引率
8.30%
发文量
332
审稿时长
68 days
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.
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