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Human well-being differs by community type: Toward reference points in a human well-being indicator useful for decision support

机译:人类福祉因社区类型而异:迈向人类福祉指标的参考点可用于决策支持

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摘要

Human activity has growing impacts on the natural capital humans depend on for existence. While many of these impacts are regional, national, or international in scope, it is increasingly evident that decisions made at the local community level are also important. Yet, understanding the impacts of local decisions, as well as how to correct or mitigate these impacts, can be problematic, as communities differ in resources, priorities, dependencies on natural capital, and even opinions about whether these impacts actually affect quality of life. Every community has unique characteristics, however effective decision support at the community level requires common reference points in measures of human well-being upon which to base decision support. We have developed a community classification system that is intended to find such common ground in community characteristics and tie these common elements to measures of human well-being. This community classification system was developed in the USA with publically available data on resource dependence, socio-economic composition, and existence of natural capital. The resulting classification was applied to coastal communities at the county level and then used to predict human well-being based on an existing human well-being index. Coastal communities were separated into eight characteristics groups based on Bayesian cluster analysis. Classification groups were found to be associated with significant differences in human well-being. More importantly, significant differences in specific elements of well-being were associated with key community characteristics, such as population density and economic dependence on local natural resources. In particular, social cohesion and the leisure time were strong elements of well-being in low density communities with high natural resource dependence but this association weakened as population densities and economically diversity increased. These sorts of commonalities in community type that can be tied to differences in human well-being are important because they provide clear ties to environmental service flows, as well as a meaningful reference point from which to measure the local impacts of decisions as changes in community-specific human well-being. Published by Elsevier Ltd.
机译:人类活动对人类赖以生存的自然资本的影响越来越大。尽管这些影响中的许多影响是区域,国家或国际范围的,但越来越明显的是,在地方社区一级做出的决定也很重要。但是,由于社区在资源,优先事项,对自然资本的依赖甚至对这些影响是否确实影响生活质量的看法方面存在差异,因此了解当地决策的影响以及如何纠正或减轻这些影响可能会遇到问题。每个社区都有其独特的特征,但是,在社区层面上有效的决策支持需要在人类福祉衡量标准中建立共同的参考点,以此作为决策支持的基础。我们已经开发了一种社区分类系统,旨在找到社区特征中的这种共同点,并将这些共同要素与人类福祉的衡量标准联系起来。该社区分类系统是在美国开发的,具有关于资源依赖,社会经济构成和自然资本存在的公开可用数据。所得的分类应用于县级沿海社区,然后根据现有的人类福祉指数来预测人类福祉。基于贝叶斯聚类分析,沿海社区被分为八个特征组。发现分类组与人类福祉的显着差异有关。更重要的是,在福祉的特定要素上的重大差异与关键的社区特征有关,例如人口密度和对当地自然资源的经济依赖性。特别是,社会凝聚力和休闲时间是对自然资源依赖性高的低密度社区幸福的重要因素,但随着人口密度和经济多样性的增加,这种联系减弱了。可以与人类福祉差异联系在一起的社区类型的这些共性很重要,因为它们为环境服务流提供了清晰的联系,并且是一个有意义的参考点,可用来衡量社区变化时决策对当地的影响特定的人类福祉。由Elsevier Ltd.发布

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