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首页> 外文期刊>Socio-ecological practice research >Deep decarbonization and renewable energy in the Appalachian Mountains (DDREAM): a socio-ecological systems approach to evaluating ecological governance
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Deep decarbonization and renewable energy in the Appalachian Mountains (DDREAM): a socio-ecological systems approach to evaluating ecological governance

机译:阿巴拉契亚山脉(DDREAM)的深度脱碳和可再生能源:一种评估生态治理的社会生态系统方法

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摘要

Through the lens of ecologically based planning and design decisions for a renewable energy infrastructure, our project investigates a pilot method that assesses ecological, geographic, and sociopolitical opportunities and constraints. This method couples an application of the University of Pennsylvania Suitability Analysis Method, more commonly known as the McHarg Method, and a statistical analysis of the Appalachian Mountain Region of Pennsylvania in the United States. Despite the region’s high-quality natural resources, persistent reliance on coal industries has resulted in disadvantaged socioeconomic distress and risk. By unraveling linkages between socio-ecological systems and governance actions, the results of our pilot described challenges for the Appalachian Mountain Region in transitioning to a renewable energy infrastructure, while also formulating the basis for county-level strategies that may encourage the pro-environmental governance necessary to promote renewable energy initiatives. We find that Appalachian counties’ relatively low levels of infrastructure density, solar irradiation, population growth, limited access to education centers, and high-quality forests present challenges to allocating suitable areas for solar infrastructure. However, clusters of moderately suitable areas are identifiable throughout the region. Yet such opportunities may struggle to support solar energy initiatives as the region suffers from limited pro-environmental governance, particularly in areas with low-density infrastructure and historically higher levels of dependence on natural resource industries. Above all, our findings identify that the relationship between socio-ecological conditions and pro-environmental governance is complex and often in conflict in key areas of the region.
机译:通过为可再生能源基础设施的基于生态的计划和设计决策的镜头,我们的项目调查了一种试验方法,该方法评估了生态,地理和社会政治机会和约束。该方法将宾夕法尼亚大学适合性分析方法的应用(通常称为MCHARG方法)以及美国宾夕法尼亚州阿巴拉契亚山区的统计分析。尽管该地区具有高质量的自然资源,但对煤炭行业的持续依赖导致了处境不利的社会经济困扰和风险。通过揭示社会生态系统与治理行动之间的联系,我们的飞行员的结果描述了对阿巴拉契亚山区过渡到可再生能源基础设施的挑战,同时还为县级策略制定了可能鼓励亲利于环境治理的基础的挑战。促进可再生能源计划所必需的。我们发现,阿巴拉契亚县的基础设施密度相对较低,太阳辐射,人口增长,受教育中心的机会有限以及高质量的森林提出了为太阳能基础设施分配合适区域的挑战。但是,整个地区都可以识别出适当的区域的集群。然而,由于该地区遭受有限的环境治理的影响,尤其是在低密度基础设施和历史上对自然资源行业的依赖水平更高的地区,因此这种机会可能难以支持太阳能计划。最重要的是,我们的发现表明,社会生态条件与亲环境治理之间的关系是复杂的,并且在该地区的关键领域经常发生冲突。

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