Wang Bin-Yu, Wang Ling, Chen Jun-Chen, Qi Qi, He Shu-Yu, Yang Zi-Qi, Li Zhao-Hua, Li Kun
Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China.
Key Laboratory of Regional Development and Environmental Response, Hubei University, Wuhan 430062, China.
Ying Yong Sheng Tai Xue Bao. 2023 Oct;34(10):2757-2766. doi: 10.13287/j.1001-9332.202310.023.
Rational delineation of ecological functional areas and clarification of their driving factors are of significance for maintaining regional ecosystem stability. We assessed six ecosystem services of Sihu Lake Basin located in Jianghan Plain using InVEST and RUSLE models and recreational scoring methods. By using K-means clustering, we identified the ecosystem service bundles, and delineated the ecological functional areas in combination with ecological sensitivity and ecosystem service bundles. The dominant driving factors of different ecological functional areas were analyzed by Geodetector. The results showed that the spatial distributions of habitat quality and carbon sequestration services were similar, with high values being mainly concentrated in Changhu Lake Basin and Honghu Lake Basin. However, the spatial distributions of crop production and soil conservation services were different, with high-value areas concentrated in the northwest area with mountains. The high values of water production service were mainly concentrated in the eastern part of Honghu Lake Basin, while the high-value areas of ecological recreation service were mainly concentrated in the northwest area and the southern part of Honghu Lake Basin. The Sihu Lake Basin could be classified into crop production bundle, habitat quality bundle, and urban living bundle according to cluster analysis. The low ecological sensitivity areas accounted for 59.0% of the Sihu Lake Basin. We classified the study area into ecological restoration areas, ecological conservation areas, ecological transition areas, ecological development areas, and comprehensive use areas by combination of ecological sensitivity and ecosystem service bundles. The geodetector results indicated that the driving factors of each ecological function zone were significantly different. The natural factors significantly influenced the ecological restoration zone, while the normalized vegetation index and population density were the main influencing factors in the ecological conservation zone and the ecological development zone, respectively. Land use type was the main influencing factor in the ecological transition zone and the comprehensive use zone. The results could provide important support for coordinated regional social development and environmental protection.
合理划定生态功能区并明确其驱动因素对于维持区域生态系统稳定性具有重要意义。我们使用InVEST和RUSLE模型以及游憩评分方法评估了位于江汉平原的四湖流域的六种生态系统服务。通过K均值聚类，我们识别了生态系统服务束，并结合生态敏感性和生态系统服务束划定了生态功能区。利用地理探测器分析了不同生态功能区的主导驱动因素。结果表明，栖息地质量和碳固存服务的空间分布相似，高值主要集中在长湖流域和洪湖流域。然而，作物生产和土壤保持服务的空间分布不同，高值区集中在有山脉的西北地区。产水服务的高值主要集中在洪湖流域东部，而生态游憩服务的高值区主要集中在洪湖流域的西北地区和南部。根据聚类分析，四湖流域可分为作物生产束、栖息地质量束和城市生活束。低生态敏感区占四湖流域面积的59.0%。通过结合生态敏感性和生态系统服务束，我们将研究区域划分为生态修复区、生态保护区、生态过渡区、生态发展区和综合利用区。地理探测器结果表明，各生态功能区的驱动因素存在显著差异。自然因素对生态修复区影响显著，而归一化植被指数和人口密度分别是生态保护区和生态发展区的主要影响因素。土地利用类型是生态过渡区和综合利用区的主要影响因素。研究结果可为区域社会发展与环境保护的协调提供重要支持。
