Forest and Grassland Resources Research >
Study on the Spatial Distribution Characteristics and Influencing Factors of Forest-based Healing and Recovery—Using Forests in Sichuan Province as an Example
Received date: 2020-01-16
Revised date: 2020-04-19
Online published: 2020-06-15
Forest-based healing and recovery(hereinafter referred to as "wellness") is an inevitable trend of forestry transformation and development and an inevitable way to achieve national health.Clarifying the spatial distribution characteristics and influencing factors of forest-based wellness bases has important theoretical and practical significance.This paper uses the nearest neighbor distance method,geographical concentration index,Gini coefficient,and geographic detector to study the forest-based wellness base in Sichuan province.The conclusions are:the distribution of forest-based wellness bases in Sichuan province is uneven and the regional differences are large;the degree of concentration is high,showing a typical cohesive spatial distribution;the main factors affecting the distribution of forest-based wellness bases at different research scales are different.When using prefecture city as the research scale,the per capita GDP of prefecture city has a strong decisive force on the distribution of forest-based wellness bases.When the forest-based wellness area is used as the research scale,the number of A-level scenic spots in the forest-based wellness areas has the greatest correlation with the distribution of forest-based wellness bases.To this end,relevant suggestions are proposed from the perspectives of optimizing the location of the forest-based wellness base,expanding the content of the forest-based wellness base,and integrating the forest-based wellness resources in the province,so as to provide a reference for the high quality development of the forest-based wellness industry in Sichuan province.
Zheng WANG , Xia YANG . Study on the Spatial Distribution Characteristics and Influencing Factors of Forest-based Healing and Recovery—Using Forests in Sichuan Province as an Example[J]. Forest and Grassland Resources Research, 2020 , 0(2) : 146 -153 . DOI: 10.13466/j.cnki.lyzygl.2020.02.022
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