摘要
【目的】分析山西省森林康养资源空间分布及影响因素,为其合理开发和高效利用提供科学依据。【方法】首先基于ArcGIS,通过最邻近指数、标准差椭圆、核密度估计等方法分析山西省森林康养资源的空间分布状况。其次,通过对以往相关文献的梳理,选取影响森林康养资源分布的因素,运用缓冲区分析、可达性分析、熵权法和地理探测器等多种技术手段,深入探讨各因素对于森林康养资源空间分布的影响。【结果】1)山西省森林康养资源分布不均衡,主要沿南北方向呈集聚型分布;各地级市差异显著,多数集聚或随机分布,仅忻州市呈离散状态;2)全省呈现以晋城市为高密度核心,太原-晋中交界、临汾-长治-晋中交界为中高密度区域的核心-边缘结构;3)影响因素中,研究对象对地形表现出高度依赖性,93.6%的资源分布在500~2000 m的小中起伏山区;亲水性特征显著,67.6%的资源分布在水系5 km缓冲区范围内,91.8%在10 km的缓冲区范围内;交通可达性良好,89.0%的资源分布在主要交通线10 km的缓冲区范围内,所有资源从距其最近的道路端点出发,都可在1 h内到达。其他影响因素对森林康养资源空间分布的影响强度由大到小依次排列为:康养人口>经济发展>旅游驱动>康养意识>康养能力。交互因子探测中,康养人口对其他因子影响最为显著,其中康养能力和康养意识二者交互后作用极大增强。【结论】应充分利用森林康养资源集聚产生的极化效应,发挥其积极作用,同时也需因地制宜,差异化发展,警惕可能出现的同质化问题。
【Objective】To analyze the spatial distribution and influencing factors of forest wellness resources in Shanxi Province,and to provide scientific basis for their rational development and full utilization.【Method】Firstly,based on ArcGIS,the spatial distribution status of forest wellness resources in Shanxi Province was analyzed by methods such as the nearest neighbor index,standard deviation ellipse,and kernel density estimation.Secondly,through sorting out previous relevant literature,factors influencing the development of the forest wellness resources distribution were selected.Multiple methods including buffer analysis,accessibility analysis,the entropy weight method,and geographical detector in ArcGIS were used to demonstrate the impact of each factor on the spatial distribution of forest wellness resources.【Result】1)The forest wellness resources in Shanxi Province are unevenly distributed,showing an aggregated distribution in the north-south direction.There are significant differences in the distribution among different prefecture-level cities:most cities present a clustered or random distribution,and only Xinzhou City shows a discrete distribution;2)On the whole,Shanxi Province presents a core-periphery structure with one high-density core and two medium-high-density areas.The high-density core is located in Jincheng City.The two medium-high-density areas are respectively located at the junction of Taiyuan City and Jinzhong City and at the junction of Linfen City,Changzhi City,and Jinzhong City;3)Among the influencing factors,the research objects show high dependence on terrain,93.6%of the resources are distributed in small and medium undulating mountainous areas with an elevation range of 500-2000 m;the hydrophilic feature is significant.67.6%of the resources are distributed within the 5 km buffer zone of water systems,and 91.8%are within the 10 km buffer zone.89.0%of the resources are distributed within the 10 km buffer zone of main traffic lines,and all resources can be reached within 1 hour starting from the nearest road endpoints,reflecting excellent transportation accessibility.The influence intensity of other influencing factors on the spatial distribution of forest wellness resources,from large to small,is as follows:wellness population>economic development>tourism impetus>wellness awareness>wellness ability.In the detection of interaction factors,the wellness population has the greatest impact on other factors.Among them,the interaction between wellness ability and wellness awareness has a greatly enhanced effect.【Conclusion】The polarization effect generated by the agglomeration of forest wellness resources should be fully utilized to play its active role.At the same time,it is also necessary to develop in line with local conditions and be vigilant against possible homogenization problems.
作者
王飞宇
刘春腊
WANG Feiyu;LIU Chunla(School of Geographical Sciences,Hunan Normal University,Changsha 410081,Hunan,China)
出处
《中南林业科技大学学报》
北大核心
2025年第11期207-218,共12页
Journal of Central South University of Forestry & Technology
基金
国家自然科学基金项目(42471273)
湖南省社科智库重大项目(24ZWA32)。
关键词
森林康养
空间分布
影响因素
地理探测器
forest wellness
spatial distribution
influencing factors
geographic detectors
