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应用生态学报 ›› 2023, Vol. 34 ›› Issue (10): 2757-2766.doi: 10.13287/j.1001-9332.202310.023

• • 上一篇    下一篇

四湖流域生态功能分区及其影响因素识别

王彬宇1,2, 王玲1, 陈俊辰1, 戚琦1, 贺淑钰1, 杨梓琪1, 李兆华1, 李昆1,2*   

  1. 1湖北大学资源环境学院, 武汉 430062;
    2湖北大学区域开发与环境响应湖北省重点实验室, 武汉 430062
  • 收稿日期:2023-06-13 接受日期:2023-08-19 出版日期:2023-10-15 发布日期:2024-04-15
  • 通讯作者: * E-mail: kunli@hubu.edu.cn
  • 作者简介:王彬宇, 男, 1998年生, 硕士研究生。主要从事生态系统服务评估研究。E-mail: 915906089@qq.com
  • 基金资助:
    国家自然科学基金项目(42201325)和湖北省自然科学基金项目(2021CFB045)

Identification of ecological functional zoning and its influencing factors in the Sihu Lake Basin, China

WANG Binyu1,2, WANG Ling1, CHEN Junchen1, QI Qi1, HE Shuyu1, YANG Ziqi1, LI Zhaohua1, LI Kun1,2*   

  1. 1Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China;
    2Key Laboratory of Regional Development and Environmental Response, Hubei University, Wuhan 430062, China
  • Received:2023-06-13 Accepted:2023-08-19 Online:2023-10-15 Published:2024-04-15

摘要: 合理划分生态功能区并明晰其内部驱动机制,对于维护地区生态系统稳定具有重要意义。本研究以江汉平原四湖流域为例,运用InVEST和RUSLE模型以及娱乐打分法评估6种生态系统服务,采用K-means聚类法识别生态系统服务簇,并与生态敏感性结合划定生态功能区,最后运用地理探测器分析不同生态功能区的主导驱动因子。结果表明: 生境质量、碳固持服务的空间分布相似,高值主要集中在长湖及洪湖附近;粮食生产和土壤保持服务空间分布存在差异,西北丘陵地区是其共同的高值区域;水源供给服务的高值主要集中在洪湖的东部;生态娱乐服务高值地区主要集中在西北丘陵和洪湖的南部。依据生态系统服务聚类结果,将四湖流域生态系统服务簇划分为粮食生产簇、生境质量簇和城镇生活簇。四湖流域生态敏感性整体以低敏感和较低敏感为主,占流域总面积的59.0%,将生态敏感性与生态系统服务簇叠加可划分为生态修复区、生态保育区、生态过渡区、生态开发区和综合利用区。地理探测器结果表明,各生态功能区内部驱动因素存在明显差异,自然因素对生态修复区影响显著,生态保育区和生态开发区的主导驱动因素分别为归一化植被指数和人口密度,生态过渡区和综合利用区主要受土地利用类型的影响。研究结果对于协同区域社会发展和生态环境保护具有重要的支撑价值。

关键词: 生态系统服务簇, 生态敏感性, 功能分区, 地理探测器, 四湖流域

Abstract: 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.

Key words: ecosystem service bundle, ecological sensitivity, functional zone, Geodetector, Sihu Lake Basin