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Rural climate resilience through built-environment interventions: modified deliberation with analysis as a tool to address barriers to adaptive capacity
The public health impacts of climate change, and how they can be addressed through implementable built-environment interventions in non-agricultural-based rural communities, is an understudied area in the academic literature and adaptation planning practice, particularly in the United States. This p...
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Published in: | Regional studies, regional science regional science, 2021-01, Vol.8 (1), p.1-24 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The public health impacts of climate change, and how they can be addressed through implementable built-environment interventions in non-agricultural-based rural communities, is an understudied area in the academic literature and adaptation planning practice, particularly in the United States. This paper addresses this gap in understanding through a pilot project that developed a climate and health-adaptation plan with Marquette County, a geographically large, coastal, non-agricultural-based, rural community in Michigan's Upper Peninsula. We show how the Deliberation with Analysis model of public participation, supported by visualizations and followed by post-participant surveys to measure its impact on barriers to adaptive capacity, can be used effectively to overcome barriers to adaptive capacity identified in the literature, specifically in understudied non-agricultural-based, rural, coastal communities in the United States. This study contributes to academic debates on adaptation and rurality by displaying the utility of a method that overcomes these key barriers to adaptive capacity noted in past research, specifically a lack of public awareness, a lack of or difficulty understanding climate information, a lack of leadership, and limited coordination and competing priorities. |
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ISSN: | 2168-1376 2168-1376 |
DOI: | 10.1080/21681376.2020.1854110 |