基于生态系统服务簇的福州市生态系统服务格局

doi:10.13287/j.1001-9332.202103.013

摘要/Abstract

摘要： 基于InVEST模型、游憩机会谱、因子分析、冷热点分析、SOFM神经网络和地形起伏度等方法,评估福州市6项生态系统服务,分析不同生态系统服务之间的权衡与协同,并阐明区域的主导服务类型和不同地形起伏度下服务簇的空间格局。结果表明: 福州市各项生态系统服务的空间异质性显著,产水、碳固持、生境质量和游憩机会供给总体较高,农产品供给和水土保持相对较弱且高低值差异明显;产水服务与文化服务存在协同关系,调节服务、支持服务与农产品供给服务之间存在权衡关系,权衡与协同高低值呈明显的空间聚集;生态系统服务簇分为郊区游憩簇、水源涵养簇、农产品供给簇、城镇生活簇和森林生态保育簇,不同地形起伏度下的服务簇组成各不相同,具有明显的空间异质性。

关键词: 生态系统服务簇, 权衡, 协同, 地形起伏度, 空间格局, 福州市

Abstract: Based on InVEST model, recreational opportunity spectrum, factor analysis, cold and hot spot analysis, SOFM neural network, relief degree of land surface (RDLS) methods, we evalua-ted six kinds of ecosystem service in Fuzhou City and analyzed the trade-offs and synergies among them, with the aim to clarify the dominant services and the spatial pattern of service bundles in different topographical regions. The results showed substantial spatial heterogeneity in different ecosystem services of Fuzhou City. Water yield, carbon sequestration, habitat quality, and recreational opportunities were totally high, whereas the supply of agricultural products and soil and water conservation were low and substantial differences. The interaction between water yield and cultural servi-ces were synergies, but trade-offs occurred among regulating service, supporting service and agricultural products service. There were spatial aggregations for both trade-offs and synergies. Ecosystem service bundles could be divided into suburban recreation bundle, water conservation bundle, agricultural products bundle, urban life bundle, and forest ecological conservation bundle. The composition of service bundles clusters was different under different RDLS, with obvious spatial heterogeneity.

Key words: ecosystem service bundles, trade-off, synergy, relief degree of land surface, spatial pattern, Fuzhou City

宋家鹏, 陈松林. 基于生态系统服务簇的福州市生态系统服务格局[J]. 应用生态学报, 2021, 32(3): 1045-1053.

SONG Jia-peng, CHEN Song-lin. Ecosystem service pattern of Fuzhou City based on ecosystem service bundles[J]. Chinese Journal of Applied Ecology, 2021, 32(3): 1045-1053.

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