基于生态系统服务的浙江省水生态环境分区分类管控
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1.浙江大学环境与资源学院;2.浙江省环境监测中心;3.浙江省环境保护科学设计研究院

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国家水体污染控制与治理科技重大专项(2018ZX07208-009)


Regionalization and Classification of Water Eco-Environment in Zhejiang Province Based on Ecosystem Service
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Affiliation:

1.College of Environmental and Resource Sciences,Zhejiang University;2.China;3.Zhejiang Environmental Monitoring Center;4.Environmental Science Research & Design Institute of Zhejiang Province

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    摘要:

    生态系统服务是生态系统对人类福祉和生存的直接和间接贡献,是维持与影响流域水生态环境的重要因素。随着流域空间管控日益受到重视,基于生态特征的“分区分类”管控已成为流域精细化管理的重要内容。论文根据生态系统服务与水质关联性以及流域生态系统特征空间差异性,结合自然汇水区和行政管理单元,通过聚类分析及空间叠置,将浙江省划分了10个水生态功能区和510个水环境控制单元。采用当量因子法对各控制单元的生态系统服务价值进行系统评估,并利用K均值空间聚类法对控制单元的生态系统服务进行聚类得到四类生态服务簇。以各类生态服务簇的主导生态功能和水质特征,将各类生态服务簇内控制单元按保护、维持、改善、整治原则进行差异化管控,推进浙江省水生态环境差异化管理。

    Abstract:

    Integrated water environmental management has been world widely treated as a fundamental means to support sustainable watershed development. Ecosystem Services (ESs), which refer to the direct and indirect contributions of ecosystems to human well-being and subsistence, are important factors for water quality maintenance and improvement. With increasing attention paid to the spatial management and control, “zoning classification” based on the ecosystem characteristics has become an important content of integrated watershed management. Based on the relationships between ecosystem characteristics and water quality, four ecological features including soil type, land usage, normalized vegetation index and population density were selected for aquatic ecoregion zoning using canonical correspondence analysis (CCA). Combining the spatial distribution of ecological features, catchments and administrative management units, Zhejiang Province was divided into ten aquatic ecoregions and 510 water environmental control units through cluster analysis and spatial overlap. The ES value of each unit was evaluated with the method of equivalent factor. The results showed that in 2015, the total ES value in Zhejiang Province reached 512.37 billion RMB, and those of individual units ranged from 5.98 to 13.65 billion RMB. Four ES bundles were obtained by K-means clustering method, and the service types and spatial distribution characteristics of the bundles were analyzed. Subsequently, the relationships between water quality and ecosystem services were analyzed for each unit. The results showed that Bundle I covered most of the mountain and hilly areas mainly located in the west and southwest, accounting for 52.68% of the province"s total area, while Bundle Ⅱ had the smallest area but a relatively high water occupation ratio, mainly covering the Qiandao Lake and the estuary of the Qiantang River. Bundle Ⅲ was distributed relatively scattered, mostly in hilly and plain areas, while Bundle Ⅳ was primarily distributed in plain areas where cities and towns were located. The dominant ESs varied significantly in different ES bundles. For example, ESs such as raw material production, soil conservation, biodiversity protection, gas regulation, and climate regulation dominated in the Bundle I, while the regulatory services were the dominant ESs in Bundle Ⅱ, including gas regulation, water regulation and waste treatment. Food production contributed significantly to both Bundles Ⅲ and Ⅳ. The results also indicated that the characteristics of water quality are closely related to the ecological service, i.e., the higher the ES value, the better the water quality. As a result, the units were classified into four types, including protection, maintenance, improvement and remediation according to the characteristics of the water quality of each ES bundle. The differentiated water quality control and improvement approaches were proposed for the units in the four types of ES bundle, to support the water eco-environment management of Zhejiang Province.

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王飞儿,郑思远,杨泓蕊,俞洁,王一旭,王浙明.基于生态系统服务的浙江省水生态环境分区分类管控.生态学报,,(). http://dx. doi. org/10.5846/stxb202009292518

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  • 收稿日期:2020-09-29
  • 最后修改日期:2021-07-16
  • 录用日期:2021-06-02
  • 在线发布日期: 2021-09-09
  • 出版日期: