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Mapping ecosystem services' values: Current practice and future prospects

机译:绘制生态系统服务的价值观:当前的实践和未来前景

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摘要

Mapping of ecosystem services' (ESS) values means valuing ESS in monetary terms across a relatively large geographical area and assessing how values vary across space. Thereby, mapping of ESS values reveals additional information as compared to traditional site-specific ESS valuation, which is beneficial for designing land use policies for maintaining ESS supply. Since the well-known article by Costanza et al. (1997), who mapped global ESS values, the number of publications mapping ESS values has grown exponentially, with almost 60% being published after 2007. Within this paper, we analyse and review articles that map ESS values. Our findings show that methodologies, in particular how spatial variations of ESS values are estimated, their spatial scope, rational and ESS focus differ widely. Still, most case studies rely on relatively simplistic approaches using land use/cover data as a proxy for ESS supply and its values. However, a tendency exists towards more sophisticated methodologies using ESS models and value functions, which integrate a variety of spatial variables and which are validated against primary data. Based on our findings, we identify current practices and developments in the mapping of ESS values and provide guidelines and recommendations for future applications and research.
机译:绘制生态系统服务(ESS)值的图意味着在相对较大的地理区域内以货币形式对ESS进行估值,并评估值在空间上的变化情况。因此,与传统的特定地点的ESS评估相比,ESS值的映射揭示了更多信息,这对于设计用于维护ESS供给的土地使用政策是有益的。由于Costanza等人的著名文章。 (1997年),谁绘制了全球ESS值,映射ESS值的出版物数量呈指数增长,2007年以后几乎有60%的出版物发表了。在本文中,我们分析和审查了映射ESS值的文章。我们的发现表明,方法论,特别是ESS值的空间变化如何估算,它们的空间范围,合理性和ESS焦点如何差异很大。尽管如此,大多数案例研究还是依靠相对简单的方法,即使用土地利用/覆盖数据作为ESS供应及其价值的代理。但是,存在使用ESS模型和值函数的更复杂方法的趋势,这些模型和值函数集成了各种空间变量并已针对主要数据进行了验证。根据我们的发现,我们确定ESS值映射中的当前实践和发展,并为将来的应用和研究提供指导和建议。

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