摘要
以江西省137个省级及以上森林康养基地为研究对象,通过问卷调查和AHP分析法、因素叠加分析法、SPSSAU数据分析法、H-O模型(赫-俄模型)分析法,运用ArcGIS 10.8等工具,系统分析影响江西省森林康养基地空间分布的自然环境、社会经济、资源禀赋和人类行为等因素。结果表明,地形与山脉、水系与降雨量、植被与森林覆盖率等自然环境因素对森林康养基地的分布具有显著影响;市域面积、人口、交通等社会经济因素与基地数量呈显著相关;国家森林乡村、风景名胜区、森林公园等资源禀赋对基地建设有积极促进作用;消费者对康养项目的需求、消费金额和基地位置的选择也对基地发展产生重要影响。藉此,提出优化选址、合理规划市域发展、平衡开发与保护、整合资源禀赋、提升项目体验性等建议。
Taking 137 provincial-level and above forest wellness bases in Jiangxi Province as the research object,this study systematically analyzed the factors influencing their spatial distribution,including natural environment,socio-economic conditions,resource endowment,and human behavior,through methods such as questionnaire surveys,AHP analysis,factor overlay analysis,SPSSAU data analysis,and the H-O model(Heckscher-Ohlin model),using tools like ArcGIS 10.8.The results indicate that natural environmental factors such as topography and mountains,water systems and rainfall,vegetation and forest coverage significantly affect the distribution of forest wellness bases.Socio-economic factors like municipal area,population,and transportation show a significant correlation with the number of bases.Resource endowments such as national forest villages,scenic spots,and forest parks positively promote the construction of bases.Additionally,consumer demand for wellness programs,spending levels,and location preferences also play important roles in the development of these bases.Based on these findings,recommendations are proposed,including optimizing site selection,rational planning of municipal development,balancing development and conservation,integrating resource endowments,and enhancing program experiential quality.
作者
易红仔
王秋炎
杨远东
YI Hongzi;WANG Qiuyan;YANG Yuandong(Jiangxi Agricultural Engineering Vocational College,Zhangshu,Jiangxi 331200,China;Ecological Geology Brigade of Jiangxi Geological Bureau,Nanchang 330002,China)
出处
《林业调查规划》
2025年第6期170-177,共8页
Forest Inventory and Planning
基金
江西省高校人文社会科学研究2021年度项目“乡村振兴背景下的森林康养基地的发展应用研究--以江西省为例”(JC21253).
关键词
森林康养基地
空间分布
影响因素
江西省
forest wellness base
spatial distribution
influencing factors
Jiangxi Province
