Evidence map›Paper›PMID 36901322›Full record

ArticleInternational journal of environmental research and public health2023

Spatial Coupling Pattern and Driving Forces of Rural Settlements and Arable Land in Alpine Canyon Region of the Maoxian County, China.

Lingfan Ju, Huan Yu, Qing Xiang, Wenkai Hu, Xiaoyu Xu

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Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Lingfan JuCollege of Earth Sciences, Chengdu University of Technology, Chengdu 610059, China.
Huan YuCollege of Earth Sciences, Chengdu University of Technology, Chengdu 610059, China.ORCID 0000-0001-6107-6373
Qing XiangCollege of Earth Sciences, Chengdu University of Technology, Chengdu 610059, China.
Wenkai HuCollege of Earth Sciences, Chengdu University of Technology, Chengdu 610059, China.
Xiaoyu XuSchool of Earth Systems and Sustainability, Southern Illinois University Carbondale, Carbondale, IL 62901, USA.ORCID 0000-0001-5451-470X

Funding

National Basic Research Program of China 2017YFC1503103National Natural Science Foundation of China 41871357National Natural Science Foundation of China 41971226Sichuan Science and Technology Program 2022NSFSC1096Strategic Priority Research Program of the Chinese Academy of Sciences XDA19030303Strategic Priority Research Program of the Chinese Academy of Sciences XDA28110502
6 · The paper itself

Abstract

For mountainous areas in different regions, the study of the spatial coupling relationship between rural settlements and arable land resources is a key aspect of coordinated rural development. In this study, a spatial coupling relationship model and a Geodetector are introduced to explore the spatial coupling relationship and driving factors of rural settlements and arable land in the alpine canyon region. The nearest neighbor index, Voronoi diagram, and landscape pattern index system based on the geographic grid are used to analyze the spatial differentiation characteristics of rural settlements in the alpine canyon region, and the spatial coupling relationship model is introduced to explore the spatial coupling relationship between rural settlements and arable land. Finally, the driving factors of the coupling relationship are detected based on Geodetector. The results show that (1) the spatial distribution of rural settlements in the study area is "T-shaped" with a relatively regular settlement shape; (2) the population in the alpine canyon region is relatively small, and the conflict between people and land is not prominent in most areas, so the overall coupling situation between rural settlements and farming land is dominated by fewer people and more land; and (3) the spatial coupling between rural settlements and arable land in the alpine canyon region is mainly affected by four types of factors: terrain topography, meteorology, soil and population, and economy. The interaction between the factors has a synergistic enhancement effect. The results of the study provide theoretical support for the development of rural settlements in the alpine canyon region.

Indexed as

Rural PopulationSoilChinaHumansSoilalpine canyon regionarable landGeodetectorrural settlementsspatial coupling

Identifiers

PMID36901322
PMCPMC10001946

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