气候变化缓解和生物多样性保护的空间协同优化布局——以丽水市为例OA

Translating the global consensus on synergistic climate change mitigation and biodiversity conservation into concrete,actionable local solutions has emerged as an urgent scientific and policy challenge.To develop a multi-objective spatial synergy optimization and governance framework applicable to local practice,this study took Lishui city in Zhejiang province as a case study.By integrating species distribution models with the systematic conservation planning tool Marxan,three synergistic scenarios were simulated:biodiversity-carbon stocks,biodiversity-carbon sequestration,and a tripartite scenario encompassing all three objectives.Based on the spatial overlap of these scenarios,three distinct types of synergistic governance zones were identified:Ecological Baseline Zones,Function Optimization Zones,and Key Enhancement Zones.The results demonstrate significant differences among these zones in terms of spatial distribution,ecological characteristics,and management implications.Spatially,the Ecological Baseline Zones are predominantly distributed in the western part of the study area,while the Function Optimization Zones and Key Enhancement Zones are mainly concentrated in the southern and eastern parts.Ecologically,the Ecological Baseline Zones are characterized by mature and stable ecosystems with large carbon stocks;the Function Optimization Zones represent ecosystems in a growth and restoration phase,exhibiting outstanding potential for carbon sequestration;and the Key Enhancement Zones are stable yet dynamic ecosystems,rich in species and featuring both high carbon storage and high carbon sequestration capacity.Accordingly,local spatial planning should progressively develop a differentiated governance strategy system of"green transformation-restoration enhancement-smart management",implementing zone-specific measures such as conservation-oriented green transformation,value-added ecological restoration,and precisely targeted interventions.