Untangling the spatial patterns of evolution of specialized villages and influencing factors

被引:2
作者
Niu, Ning [1 ]
Wang, Chao [2 ,3 ]
Jin, He [4 ]
机构
[1] Henan Univ Econ & Law, Sch Resources & Environm, Zhengzhou, Peoples R China
[2] Henan Acad Sci, Inst Geog Sci, Zhengzhou, Peoples R China
[3] Remote Sensing Field Res Stn Water Ecol Luhun Lake, Luoyang, Peoples R China
[4] Univ S Florida, Sch Geosci, Tampa, FL 33620 USA
基金
中国国家自然科学基金;
关键词
specialized villages; random forest regression; influencing factors; spatial patterns of evolution; China; HENAN PROVINCE;
D O I
10.3389/fevo.2023.1186686
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
IntroductionThe development of specialized villages (SVs) is of great importance for rural revitalization. MethodsThis study integrated SVs, terrain, resource, traffic, market, and economy data to characterize the development of SVs from 2017 to 2021 and explore its influence factors by the Random Forest Regression model in Henan, China. ResultsThe sustainably developed SVs were mainly distributed in the plain and the transition zone of mountain-hilly, mountain-plain, and hilly-plain, showing a spatially aggregated polycentric characteristic; the market is the key factor for the development of SVs in the transition zone of mountain-hill or mountain-plain, and the traffic factor mainly influences SVs in the plain and the transition zone of hill-plain; compared to the factors influencing the formation of SVs, the influence of terrain and traffic factors on the development of SVs was decreasing, and the influence of market and economic factors was showing an increasing trend. DiscussionThe results of this study can provide practical strategies for the development of SVs in the under-developed areas of interior.
引用
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页数:12
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