Li Qiaoyu, Chen Niaoniao, Yu Zhengxi, Qin Hao, Qiao Xing, Yan Wenchao. Spatial Distribution Characteristics and Driving Factors of Forest Health Care Resources in Guizhou Province[J]. Journal of Southwest Forestry University, 2023, 43(3): 175-182. DOI: 10.11929/j.swfu.202208048
Citation: Li Qiaoyu, Chen Niaoniao, Yu Zhengxi, Qin Hao, Qiao Xing, Yan Wenchao. Spatial Distribution Characteristics and Driving Factors of Forest Health Care Resources in Guizhou Province[J]. Journal of Southwest Forestry University, 2023, 43(3): 175-182. DOI: 10.11929/j.swfu.202208048

Spatial Distribution Characteristics and Driving Factors of Forest Health Care Resources in Guizhou Province

  • A total of 103 forest health care resources in Guizhou Province were targeted as research objects, including "China forest health care base", "Guizhou forest health care base", "China forest oxygen bar" and "Guizhou forest oxygen bar". Spatial distribution was analyzed by a series of instruments, including the nearest neighbor index, geographical concentration index, kernel density analysis, etc. Correlation analysis and fitting analysis were employed to explore the natural and social interactions and human factors affecting their spatial distribution. Results show that overall, the spatial distribution of forest health and wellness resources in Guizhou Province is agglomerative; at the municipal level, the distribution of forest health care resources varied greatly in different cities, and Guiyang, Qiannan and Bijie were random. Qiandongnan, Anshun, Liupanshui, Qianxinan and Tongren were homogeneous, and Zunyi was agglomerative; there were differences in the distribution of forest health care resources in different regions, which was characterized as "overall wide distribution and local multi-core aggregation"; social-economic factors of distance from the central city, population and economic development level are the main factors affecting the spatial distribution of forest health and wellness resources in Guizhou Province. The research results can provide a reference for the optimization of the spatial distribution of forest health care resources and the development of forest health care industry in Guizhou Province.
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