湘北城市群生态系统调节服务与景观风险变化及相关性

Changes of and Correlation between Ecosystem Regulation Services and Landscape Risk of Urban Agglomeration in Northern Hunan

生态系统调节服务是支撑城市群健康发展的基础,理解生态系统调节服务与景观风险的动态变化特征及相关性,有助于管理者评判城市群风险性质和特征,为城市群制定切实的治理策略。基于5 km×5 km的蜂窝网格,利用价值当量法、景观风险指数和双变量空间相关性模型,研究湘北城市群2000—2020年间的生态系统调节服务供给、景观风险以及两者之间的相关性特征。结果表明:2000—2020年间,湘北城市群中景观类型转移量较大的为林地、水田和水域,景观类型转移导致生态系统调节服务总价值从1266.2亿元锐减到437.36亿元,其中以水文调节、气候调节为主的生态系统服务降低最为明显;景观风险水平总体出现下降,风险高值区集中在水田、水域和沼泽;景观风险和生态系统调节服务总体上存在同步下降关系,水田、水域和沼泽是需要重点关注的景观类型,建议未来加强调节服务能力的恢复。

The basic condition of ecosystem regulatory services is to support the healthy development of urban agglomeration.It helps managers to evaluate the nature and characteristics of the risks of urban agglomeration and formulate practical governance strategies for urban agglomeration by understanding the dynamic changes of and correlation between the ecosystem regulatory services and the landscape risks.Based on a 5 km×5 km cellular grids,the ecosystem regulatory service supply,the landscape risk and the correlation between them from 2000 to 2020 were investigated for the urban agglomeration of northern Hunan by using equivalent value method,landscape risk index and bivariate spatial correlation model.The results showed that:in the past 20 years,forest land,paddy field and water area are the main landscape types that have largely transformed in urban agglomeration in Northern Hunan,leading to a sharp decrease in the total value of ecosystem regulation services from RMB 1266.2 billion to 437.36 billion,among which the degradation of ecosystem services such as hydrological and climate regulations was most significant.The landscape risk displayed a decline in general,with high risk areas concentrated in paddy fields,waters and marshes.The landscape risk and ecosystem regulation services were synchronously declining overall.The paddy fields,water bodies and marshes are the main landscape types to be given particular attention.It is recommended to strengthen the restoration of regulatory service capacity in the future.