Testing the reliability of adaptive capacity as a proxy for adaptive and transformative responses to climate change

IF 8.6 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Henry A. Bartelet , Michele L. Barnes , Lalu A.A. Bakti , Graeme S. Cumming
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Abstract

The concept of adaptive capacity is increasingly being applied to understand and predict people’s ability to adapt to the emerging impacts of climate change. Despite its potential utility, the degree to which adaptive capacity is a reliable predictor of adaptation remains unclear; evidence for a causal relationship is insufficient and conflicting. To address this gap, we surveyed 231 reef tourism companies across eight countries in the Asia-Pacific that have been affected by severe climate disturbances between 2014 and 2019. We used a combination of descriptive and multivariate statistical approaches to explore the relationships between adaptive capacity, adaptive responses, and contextual conditions. Our findings indicate that a comprehensive operationalization of actor-specific adaptive capacity is not necessarily a reliable proxy for measuring potential adaptation to future climate change. The severity of impacts on individual operators was the major determinant of adaptive action. Adaptive action might therefore be adopted autonomously by the majority of microeconomic actors (when they are severely affected), irrespective of their a priori adaptive capacity. Adaptive capacity was, however, a reliable proxy for the likelihood that an operator would take transformative action as their primary response to a climate disturbance; several of our indicators of adaptive capacity had a meaningful effect size, in particular those within the adaptive capacity domain of social organization. Policies focused on improving coordination and collaboration between industry, research, and government actors might therefore be more effective than alternatives in promoting long-term transformation of social-ecological systems. Adaptation confidence and government effectiveness were barriers to transformative action, and we provide some potential explanations. Further empirical research is needed to evaluate the generality of our findings in different contexts over space and time.

测试适应能力作为对气候变化的适应性和变革性反应的代理的可靠性
适应能力的概念越来越多地被应用于理解和预测人类适应气候变化新影响的能力。尽管具有潜在的效用,但适应能力在多大程度上是适应的可靠预测指标仍不清楚;因果关系的证据不足且相互矛盾。为了解决这一差距,我们调查了亚太地区8个国家的231家珊瑚礁旅游公司,这些公司在2014年至2019年期间受到严重气候干扰的影响。我们结合使用描述性和多元统计方法来探索适应能力、适应反应和环境条件之间的关系。我们的研究结果表明,特定行为体适应能力的全面运作不一定是衡量对未来气候变化的潜在适应的可靠指标。对个体操作者影响的严重程度是适应性行动的主要决定因素。因此,大多数微观经济行为者(当他们受到严重影响时)可以自主地采取适应性行动,而不管他们先验的适应能力如何。然而,适应能力是衡量经营者将采取变革行动作为其对气候扰动的主要响应的可能性的可靠指标;我们的几个适应能力指标具有有意义的效应大小,特别是那些在社会组织的适应能力领域。因此,在促进社会生态系统的长期转型方面,侧重于改善工业、研究和政府行动者之间的协调与合作的政策可能比其他选择更有效。适应信心和政府效率是变革行动的障碍,我们提供了一些可能的解释。需要进一步的实证研究来评估我们的发现在不同空间和时间背景下的普遍性。
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来源期刊
Global Environmental Change
Global Environmental Change 环境科学-环境科学
CiteScore
18.20
自引率
2.20%
发文量
146
审稿时长
12 months
期刊介绍: Global Environmental Change is a prestigious international journal that publishes articles of high quality, both theoretically and empirically rigorous. The journal aims to contribute to the understanding of global environmental change from the perspectives of human and policy dimensions. Specifically, it considers global environmental change as the result of processes occurring at the local level, but with wide-ranging impacts on various spatial, temporal, and socio-political scales. In terms of content, the journal seeks articles with a strong social science component. This includes research that examines the societal drivers and consequences of environmental change, as well as social and policy processes that aim to address these challenges. While the journal covers a broad range of topics, including biodiversity and ecosystem services, climate, coasts, food systems, land use and land cover, oceans, urban areas, and water resources, it also welcomes contributions that investigate the drivers, consequences, and management of other areas affected by environmental change. Overall, Global Environmental Change encourages research that deepens our understanding of the complex interactions between human activities and the environment, with the goal of informing policy and decision-making.
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