根据生态系统服务供给、需求和流量确定跨区域生态补偿,促进景观管理

Diversity Pub Date : 2024-09-07 DOI:10.3390/d16090561
Hejie Wei, Jiahui Wu, Yu Ma, Ling Li, Yi Yang, Mengxue Liu
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引用次数: 0

摘要

厘清生态系统服务的供给、需求和流动相关问题对于区域景观管理至关重要。本研究采用等效因子法和需求指数量化法对 2000 年和 2020 年郑汴洛地区生态系统服务的供给和需求进行了分析。我们利用热点分析工具和最小累积阻力模型建立了生态廊道,确定了该地区生态系统服务的空间流动路径。通过断点公式和场强理论计算关键廊道值的流量,结合调节服务值的比例,计算出生态补偿量,从而实现生态系统服务的价值。结果表明,随着城市化进程的加快,2000-2020 年郑汴洛地区生态系统服务供需平衡面积逐渐减少,缺口面积增加 43.62%。2000 年和 2020 年,重要生态廊道的生态系统服务总流量价值分别为 24240 万美元和 36592 万美元。预计到 2020 年,栾川县将从各生态需求区获得 23776 万美元的生态补偿,其中主要来自金水区。我们的研究结果为提高黄河河南段生态环境质量和优化景观管理提供了支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identifying Cross-Regional Ecological Compensation Based on Ecosystem Service Supply, Demand, and Flow for Landscape Management
Clarifying the issues related to the supply, demand, and flow of ecosystem services is crucial for regional landscape management. This study employs the equivalence factor method and demand index quantification to analyze the supply and demand of ecosystem services in the Zheng-Bian-Luo region in 2000 and 2020. We used hotspot analysis tools and the minimum cumulative resistance model to establish the ecological corridors, identifying the spatial flow paths of ecosystem services in our site. By calculating the flow volume of the key corridor value through the breakpoint formula and field strength theory and combining this with the ratio of the regulating service value, we computed the ecological compensation amount, thereby realizing the value of the ecosystem service. The results indicate that the area of balance between ecosystem service supply and demand gradually decreased and the deficit area in the Zheng-Bian-Luo region increased 43.62% from 2000 to 2020 along with rapid urbanization. The total value flow of ecosystem services by the important ecological corridors in 2000 and 2020 was USD 242.40 million and USD 365.92 million, respectively. In 2020, it was predicted that Luanchuan County would receive ecological compensation totals of USD 237.76 million from each ecological demand area, and mainly from Jinshui District. Our findings support enhancing the quality of the ecological environment and optimizing the landscape management of the Yellow River’s Henan section.
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