基于当地居民视角的生态系统服务供需空间匹配性及驱动因素研究OACHSSCD
Spatial pattern and influencing factors of matching the supply and demand of ecosystem services based on local perception in Wolong Nature Reserve
生态系统服务(ES)供给-需求匹配性是探究生态系统退化的本质和根源的重要依据.ES供需匹配性具有明显的空间异质性,是自然生态环境和社会经济因素共同作用的结果.识别ES供需的空间匹配性及驱动因素,对区域可持续发展具有重要意义.以卧龙自然保护区为研究对象,从社区居民角度出发,基于MaxEnt模型、ArcGIS、GeoDa、地理探测器等工具,分析了 ES供需的空间分布特征,并揭示了 ES供需的空间匹配特征及供需比驱动因素.结果表明:在居民区附近淡水和土壤肥力处于赤字状态,传统农作物、土壤保持和旅游休闲处于盈余状态.供需空间匹配模式以低供给-低需求型为主,其次是高供给-高需求型,其中后者主要集中分布在居民点附近.距离因素和海拔是影响各ES供需比空间分布程度较高的环境变量,同时两种环境变量的交互作用均强于任一单一环境变量的影响程度.综合分析表明,ES供需空间匹配性差异源于研究区域ES空间的供给特征和居民可达性的差异,进而影响居民对ES供给与需求的评估.在保护区管理中,可以通过分区管理、针对居民生计需求提升基础设施建设以及促进保护区内均衡发展等措施,提升政策制定与生态工程实施的精准性与有效性.通过有针对性的干预措施,有望实现生物多样性保护与社区福祉提升的双重目标.
The supply-demand matching of ecosystem services(ES)is a crucial basis for exploring the essence and root causes of ecosystem degradation.The matching of ecosystem service supply and demand presents significant spatial heterogeneity.This pattern is shaped by the combined effects of natural environmental conditions and socio-economic factors.Identifying the spatial matching patterns and driving factors of ES supply and demand is of great importance for promoting regional sustainable development.This study takes the Wolong National Nature Reserve as the research area and adopts the perspective of local community residents to explore ES.By employing a combination of analytical tool,such as the MaxEnt model,ArcGIS,GeoDa,and the geographical detector,it systematically analyzes the spatial distribution patterns of ES supply and demand.Furthermore,it also reveals the spatial matching characteristics between ES supply and demand,as well as the key environmental and socio-economic driving factors for the supply-demand ratio.The results show that the supply and demand related to the five types of ES exhibit significant spatial heterogeneity.Fresh water and soil fertility are in a state of deficit near residential areas,reflecting that the capacity of local ES is lower than the level of demand from residents.While traditional crops,soil conservation,and tourism and recreation services are in a state of surplus,suggesting an excess in supply compared to the demand from local residents.The supply and demand matching of the five types of ES exhibits spatial clustering characteristics.It is mainly characterized by low supply-low demand areas,followed by high supply-high demand areas,the latter of which are mainly concentrated around residential areas.Distance and altitude have been identified as two of the most influential environmental factors affecting the spatial distribution of ES supply-demand ratios.The distance factors include distance to water,distance to roads,and distance to residential area.Moreover,the interaction between these two factors has a stronger impact than either factor alone.This reflects that the spatial patterns of ES supply and demand are not primarily driven by individual environmental factors,but rather by the synergistic interactions among multiple environmental factors.The results indicate that the differences in spatial matching of ES supply and demand arise from the spatial distribution of ES supply and the difference in residents' accessibility within the study area,and these underlying differences ultimately influence how local residents perceive and evaluate the balance between ES supply and demand.In reserve management,a range of strategies can be adopted to enhance the precision and effectiveness of policy formulation and the implementation of ecological restoration projects.These strategies include zoning management,improving infrastructure in response to the livelihood needs of local residents,and promoting the balanced development within the reserve.These measures can help the conservation efforts more focused and better suited to the local needs and conditions.By taking targeted and practical intervention measures,it is possible to achieve both biodiversity conservation and local community well-being improvement,helping to strike a balance between environmental protection and human development.
马汶慧;黄尤优;黄义强;赵乐欣;徐建英
首都师范大学资源环境与旅游学院,教育部三维信息获取与应用重点实验室,北京 100048西华师范大学西南野生动植物资源保护教育部重点实验室,南充 637009首都师范大学资源环境与旅游学院,教育部三维信息获取与应用重点实验室,北京 100048首都师范大学资源环境与旅游学院,教育部三维信息获取与应用重点实验室,北京 100048首都师范大学资源环境与旅游学院,教育部三维信息获取与应用重点实验室,北京 100048
生态系统服务供需关系空间匹配驱动因素卧龙保护区
ecosystem servicessupply and demand relationshipspatial matchingdriving factorsWolong Nature Reserve
《生态学报》 2026 (10)
5057-5072,16
国家自然科学基金资助项目(42171276)四川省科技计划资助项目(2025YFHZ0168)
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