Analyzing the interactions among multiple ecosystem services in a rural mining region in Central Appalachians

IF 5.3 Q1 Agricultural and Biological Sciences
Vincenzo Cribari, M. Strager, D. Geneletti, C. Yuill
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引用次数: 1

Abstract

ABSTRACT This study analyzed the interactions among a set of ecosystem services (ES) and derived ES bundles in the Headwaters of Coal River West Virginia (WV), in the Central Appalachians, an area historically characterized by surface mining and coal extraction. ES were modeled using the InVEST system, while a custom model was used to link water quality to freshwater ES, deriving information at two different spatial scales based on hydrologic units. High-resolution remote sensing data (1–2 m resolution) were used to incorporate historical information from land-cover (LC) transitions since 1976 to differentiate reclamation processes and characterize the forest class. Consistent ES tradeoffs were confirmed in areas characterized by surface mining processes that reported significant losses of carbon sequestration, habitat quality , and freshwater ES. The interaction of complex anthropogenic processes within the specific landscape led to the definition of different ES bundles, characterized not only by coal mining processes but also by the distribution of settlements and developed areas. The utilization of relatively small hydrologic catchments (1–25 km2), the comparison with a more extensive set of spatial units, and the inclusion of high-resolution data with multiple LC classes that included historical information, allowed the authors to infer knowledge about the interactions between ES changes and their drivers in the study area. The results can be used to implement conservation, as well as development-restoration strategies, by including ES assessments to promote a more sustainable land management approach in the rural-mining region of Central Appalachians and support future alternatives to extractive economies.
阿巴拉契亚中部农村矿区多种生态系统服务之间的相互作用分析
摘要本研究分析了阿巴拉契亚山脉中部西弗吉尼亚州煤河源头的一组生态系统服务(ES)和衍生的ES束之间的相互作用,该地区历史上以地表采矿和煤炭开采为特征。ES使用InVEST系统建模,而自定义模型用于将水质与淡水ES联系起来,根据水文单位在两个不同的空间尺度上获得信息。高分辨率遥感数据(1–2米分辨率)用于纳入自1976年以来土地覆盖(LC)转变的历史信息,以区分开垦过程并表征森林类别。以地表采矿过程为特征的地区证实了生态系统的一致权衡,这些地区报告了碳固存、栖息地质量和淡水生态系统的重大损失。特定景观内复杂的人为过程的相互作用导致了不同生态系统束的定义,不仅以煤矿开采过程为特征,而且以定居点和发达地区的分布为特征。相对较小的水文集水区(1-25km2)的利用,与更广泛的空间单元集的比较,以及包含历史信息的多个LC类别的高分辨率数据,使作者能够推断出关于ES变化及其驱动因素之间相互作用的知识。研究结果可用于实施保护和发展恢复战略,包括ES评估,以促进阿巴拉契亚中部农村矿区更可持续的土地管理方法,并支持未来采掘经济的替代方案。
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来源期刊
Ecosystems and People
Ecosystems and People Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
7.80
自引率
11.30%
发文量
40
审稿时长
42 weeks
期刊介绍: Ecosystems and People is an interdisciplinary journal that addresses how biodiversity and ecosystems underpin human quality of life, and how societal activities and preferences drive changes in ecosystems. Research published in Ecosystems and People addresses human-nature relationships and social-ecological systems in a broad sense. This embraces research on biodiversity, ecosystem services, their contributions to quality of life, implications for equity and justice, and the diverse and rich ways in which people relate to nature.
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