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大汶河流域生态系统服务时空变化及其驱动因素

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探究生态系统服务的时空变化并识别主要驱动因素,对流域生态系统的保护和利用具有重要意义.采用InVEST模型从生境质量、产水量、碳储量和土壤保持等4方面对2000-2020年大汶河流域生态系统服务进行综合评价,利用Pearson系数和地理探测器探究生态系统服务间的权衡/协同关系及驱动机制.结果表明:(1)大汶河流域土地利用类型以耕地和建设用地为主,建设用地呈增加趋势,草地呈减少趋势;(2)综合生态系统服务变化较小,空间异质性明显,高值主要分布在北部泰山、中部徂徕山以及东部新泰新甫山;(3)生境质量呈变差趋势,产水量呈增加趋势,碳储量基本保持稳定,土壤保持则先减少后增加,产水量与碳储量呈权衡关系,其余生态系统服务间呈协同关系;(4)综合生态系统服务主要受年平均温度、高程和年降水量等自然环境因素的影响,受人口密度和GDP等经济社会因素影响较小.
Spatiotemporal Variation and Driving Factors of Ecosystem Services in Dawen River Basin
To protect watersheds and benefit from the ecosystem services they provide,it is necessary to identify spatiotemporal changes in ecosystem services and their primary driving forces.In this study,four ecosystem services:habitat quality,water yield,carbon storage and soil retention were as-sessed in the Dawen River basin using In VEST(Integrated Valuation of Environmental Services and Tradeoffs)models,and Pearson correlation analysis was applied to analyze synergistic relationships among the ecosystem services.The factors driving ecosystem services were explored with Geographic detectors.The study was based on data on land use,geography,climate,the normalized difference vegetation index(NDVI),soil,population density,and GDP of the Dawen River basin in 2000,2010,and 2020.Results show that:(1)Farmland and construction land were the primary land use types in the basin.Farmland,forest and grass lands decreased during 2000-2020,while construction land in-creased.(2)There was little temporal change in the value of comprehensive ecosystem services(CES)during 2000-2020,but marked spatial heterogeneity throughout the basin.The higher ecosys-tem service values were mainly in Mount Tai(north),Culai Mountain(central)and Xinfu Mountain(east).The lower values were mainly in the urban areas of Taian City and Xintai City,with intense human activity and poor habitat quality.(3)Habitat quality decreased,but water yield increased from 6xl08 m3 in 2000 to 19.2×108 m3 in 2020.Carbon storage remained stable,at 9.19×107 t during the investigation period.Soil retention decreased and then increased,with values of 3.22× 108(2000),2.86×108(2010)and 4.33x108 t(2020).A tradeoff was observed between water yield and carbon stor-age,while the remaining ecosystem services were synergistic.(4)The spatial pattern of CES was pri-marily influenced by the natural environmental factors of annual average temperature,elevation,and annual precipitation.The impacts of population density and GDP were relatively small.The results of this study provide a valuable reference for resource conservation and sustainable development in the northern river basins of China.

comprehensive ecosystem service(CES)spatiotemporal variationInVEST modelgeo-graphic detectorDawen River basin

刘笑语、武玮、杨程珺

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济南大学水利与环境学院,山东济南 250022

综合生态系统服务 时空变化 InVEST模型 地理探测器 大汶河流域

2025

水生态学杂志
水利部中国科学院水工程生态研究所

水生态学杂志

北大核心
影响因子:0.704
ISSN:1674-3075
年,卷(期):2025.46(1)