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Trade-off and synergy effects,driving factors,and spatial optimization of ecosystem services in the Wuding River Basin of China:A study based on the Bayesian Belief Network approach
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作者 FAN Liangwei WANG Ni +3 位作者 WANG Tingting LIU Zheng WAN Yong LI Zhiwei 《Journal of Arid Land》 2025年第12期1669-1693,共25页
The Wuding River Basin,situated in the Loess Plateau of northern China,is an ecologically fragile region facing severe soil erosion and imbalanced ecosystem service(ES)functions.However,the mechanisms driving the spat... The Wuding River Basin,situated in the Loess Plateau of northern China,is an ecologically fragile region facing severe soil erosion and imbalanced ecosystem service(ES)functions.However,the mechanisms driving the spatiotemporal evolution of ES functions,as well as the trade-offs and synergies among these functions,remain poorly understood,constraining effective watershed-scale management.To address this challenge,this study quantified four ES functions,i.e.,water yield(WY),carbon storage(CS),habitat quality(HQ),and soil conservation(SC)in the Wuding River Basin from 1990 to 2020 using the Integrated Valuation of Ecosystem Services and Tradeoff(InVEST)model,and proposed an innovative integration of InVEST with a Bayesian Belief Network(BBN)to nonlinearly identify trade-off and synergy relationships among ES functions through probabilistic inference.A trade-off and synergy index(TSI)was developed to assess the spatial interaction intensity among ES functions,while sensitivity and scenario analyses were employed to determine key driving factors,followed by spatial optimization to delineate functional zones.Results revealed distinct spatiotemporal variations:WY increased from 98.69 to 120.52 mm;SC rose to an average of 3.05×10^(4) t/hm^(2);CS remained relatively stable(about 15.50 t/km^(2));and HQ averaged 0.51 with localized declines.The BBN achieved a high accuracy of 81.9%and effectively identified strong synergies between WY and SC,as well as between CS and HQ,while clear trade-offs were observed between WY and SC versus CS and HQ.Sensitivity analysis indicated precipitation(variance reduction of 9.4%),land use(9.8%),and vegetation cover(9.1%)as key driving factors.Spatial optimization further showed that core supply and ecological regulation zones are concentrated in the central-southern and southeastern basin,while ecological strengthening and optimization core zones dominate the central-northern and southeastern margins,highlighting strong spatial heterogeneity.Overall,this study advances ES research by combining process-based quantification with probabilistic modeling,offering a robust framework for studying nonlinear interactions,driving mechanisms,and optimization strategies,and providing a transferable paradigm for watershed-scale ES management and ecological planning in arid and semi-arid areas. 展开更多
关键词 ecosystem service functions trade-offs and synergies Bayesian Belief Network spatial pattern optimization Wuding River Basin
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Ecological Effects of Blue-green Spaces and Construction of National Urban Wetland Parks
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作者 Yanjiao LI Lixuan KOU +6 位作者 Weishuang TONG Xiaohan HOU Yuxin XIA Ximeng FENG Ya SU Hengfei SHEN Yuting WANG 《Asian Agricultural Research》 2025年第5期20-22,42,共4页
This article reviews the construction process of National Wetland Parks,the ecological effects of blue-green spaces,and their significance in wetland park development.It explores the functions of wetland parks in biod... This article reviews the construction process of National Wetland Parks,the ecological effects of blue-green spaces,and their significance in wetland park development.It explores the functions of wetland parks in biodiversity conservation,water purification,climate regulation,and other ecological functions.Finally,it proposes of enhancing the protection and management of wetland parks,in the hope of promoting the full realization of their ecological benefits and ensure sustainable development. 展开更多
关键词 Green-blue spaces National wetland parks Sustainable development optimization of spatial pattern
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