资源型城市耕地生态系统服务价值权衡协同关系及其影响因素研究

    Trade-off and synergy relationships and influencing factors of ecosystem service values of cultivated land in resource-based cities

    • 摘要: 资源型城市矿业开发利用活动频繁,难免会对耕地生态系统产生直接和间接的影响作用。为探究典型资源型城市转型的耕地生态系统演变规律,本文构建了“属性-功能-价值”的耕地生态系统服务价值核算框架,并以资源型城市赣州市为例,采用生态系统服务功能评估法、Spearman秩相关分析法、双变量空间自相关法和地理探测器分析耕地生态系统服务价值的变化趋势、权衡协同关系及其影响因素。研究结果表明:2000—2020年,赣州市耕地不同生态系统服务价值整体呈现上升态势,主要原因在于物质产出服务价值增幅大,但水源涵养服务价值和土壤保持服务价值等生态调节服务价值呈现出先下降后上升的趋势,这表明近十年赣州市耕地生态建设成效明显;赣州市耕地不同生态系统服务价值之间均存在显著的协同关系和空间异质性,其中,供给-调节支持服务价值的协同关系最为显著,高值区均位于兴国县和宁都县等赣州市北部地区,低值区主要集中在龙南市等西南部和寻乌县等东南部地区;人均耕地面积、人均GDP、坡度、城镇居民可支配收入和高程等因素对耕地生态系统服务价值变化的影响作用最为显著。研究结果全面揭示了长时间序列资源型城市耕地生态系统服务价值的变化规律和形成机理,可为资源型城市耕地资源保护、绿色转型发展提供决策参考。

       

      Abstract: The cultivated land ecosystems in resource-based cities are often affected by mining and resource exploitation activities. To explore the evolution patterns of cultivated land ecosystems in resource-based city, this study constructs a “attributes-function-value” framework for assessing the value of cultivated land ecosystem services. Taking Ganzhou City as an example, the paper employs ecosystem service values assessment, Spearman rank correlation analysis, bivariate spatial autocorrelation analysis, and geo-detector methods to analyze the trends, trade-offs, and influencing factors of cultivated land ecosystem service values. The results show that from 2000 to 2020, the total value of different cultivated land ecosystem services in Ganzhou City exhibited a rise trend, primarily due to a significant increase in material output value. However, the value of ecological regulation value, such as water retention and soil conservation, initially decreased before rising again, indicating notable achievements in cultivated land ecological construction over the past decade. There are significant synergistic relationships and spatial heterogeneities among the different ecosystem service values in Ganzhou City. The synergy between provisioning-regulation-supporting value is particularly significant, with high-value areas mainly located in the northern regions of Xingguo and Ningdu, while low-value areas are concentrated in the southwestern regions like Longnan and southeastern regions like Xunwu. Per capita arable land area, per capita GDP, slope, disposable income of urban residents, and elevation are the most influential factors affecting changes in cultivated land ecosystem service values. These findings reveal the long-term patterns and underlying mechanisms of changes in cultivated land ecosystem service values in resource-based cities, providing decision support for cultivated land resource protection and green transformation in such cities.

       

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