[1]许 鑫,徐丽婷,周达宝,等.江西省乡村聚落时空演变及影响因素[J].水土保持研究,2024,31(03):320-330.[doi:10.13869/j.cnki.rswc.2024.03.018]
　Xu Xin,Xu Liting,Zhou Dabao,et al.Spatiotemporal Evolution and Influencing Factors of Rural Settlements in Jiangxi Province[J].Research of Soil and Water Conservation,2024,31(03):320-330.[doi:10.13869/j.cnki.rswc.2024.03.018]
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江西省乡村聚落时空演变及影响因素

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 31 期数: 2024年03期 页码: 320-330 栏目: 出版日期: 2024-04-30
Title:
Spatiotemporal Evolution and Influencing Factors of Rural Settlements in Jiangxi Province
文章编号:
1005-3409(2024)03-0320-11
作者:
许 鑫1,2, 徐丽婷1,2, 周达宝1,2, 徐 羽3
(1.江西师范大学 地理与环境学院, 南昌 330022; 2.江西师范大学 鄱阳湖湿地与流域研究教育部重点实验室, 南昌 330022; 3.江西财经大学 应用经济学院(数字经济学院), 南昌 330013)
Author(s):
Xu Xin1,2, Xu Liting1,2, Zhou Dabao1,2, Xu Yu3
(1.School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China; 2.Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang 330022, China; 3.School of Applied Economics /School of Digital Economics, Jiangxi University of Finance and Economics, Nanchang 330013, China)
关键词:
乡村聚落;  江西省;  时空演变;  影响因素
Keywords:
rural settlements;  Jiangxi Province;  spatiotemporal evolution;  influencing factors
分类号:
K901.8
DOI:
10.13869/j.cnki.rswc.2024.03.018
文献标志码:
A
摘要:
[目的]探究江西省乡村聚落时空演变规律,并分析其影响因素,以期为全面推进乡村振兴战略,优化国土空间规划与促进乡村治理提供参考和决策依据。[方法]利用景观格局指数、核密度估计、重心迁移模型研究2000—2020年江西省乡村聚落时空演变; 借助缓冲区分析、地理探测器探究其影响因素。[结果](1)江西省乡村聚落斑块数量减少而规模扩大。不同聚落规模差异先增后减,聚落不规则程度保持较低水平。(2)江西省乡村聚落分布总体变化较小,但存在显著的空间差异性,表现出“中密周疏,北密南疏”的空间分布格局。(3)江西省乡村聚落的重心在20年间较为稳定,均位于丰城市西南部。(4)江西省乡村聚落主要分布在海拔低于200 m,坡度在5°～15°的地区,并且受河流、县乡道影响显著,而铁路、高速、国道、省道对其影响较小。社会经济因素影响有所增大,其中粮食作物产值、农村居民消费支出、耕地面积影响较大。[结论]2000—2020年江西省乡村聚落时空演变总体较为稳定,自然、区位、社会经济因素均对聚落分布有显著影响。
Abstract:
[Objective] This study aims to investigate the spatiotemporal evolution characteristics of rural settlements in Jiangxi Province, and to analyze the influencing factors. The findings can serve as reference and decision-making basis for promoting the national rural revitalization strategy, optimizing territorial spatial planning, and enhancing rural governance. [Methods] The spatiotemporal evolution of rural settlements in Jiangxi Province from 2000 to 2020 was examined by using landscape pattern indices, kernel density analysis, and gravity shift model. The buffer analysis and geographic detection were employed to explore the influencing factors. [Results](1)The number of rural settlements in Jiangxi Province decreased, but their scale expanded over rime. The variation between different settlement scales initially increased and then decreased, while the irregularity of settlement patterns remained generally low.(2)While the overall change in rural settlement distribution in Jiangxi Province was modest, significant spatial differences were observed. The pattern exhibited a spatial distribution of dense pattern in the middle and sparse on all sides, dense pattern in the north and sparse in the south.(3)The center of gravity of rural settlements in Jiangxi Province remained relatively stable over the past two decades, consistently located in the southwest of Fengcheng City.(4)Rural settlements in Jiangxi Province were mainly found in areas with elevations below 200 m and slopes between 5° and 15°. They were notably influenced by rivers, county and township roads, while railways, highways, national roads and provincial roads had minimal impact. Among socio-economic factors, the output value of grain crops, rural residents' the consumption expenditure, and cultivated land area had the most significant influence. [Conclusion] The spatiotemporal evolution of rural settlements in Jiangxi Province remained stable during 2000—2020. The distribution of rural settlements was influenced by location, natural and socio-economic factors.

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备注/Memo

收稿日期:2023-07-04 修回日期:2023-07-25
资助项目:国家自然科学基金项目(42201232); 江西省教育厅科学技术研究项目(GJJ2200361)
第一作者:许鑫(1998—),男,江西吉安人,硕士,主要从事城乡发展与土地利用研究。E-mail:xuxin9851@163.com
通信作者:徐丽婷(1992—),女,江西抚州人,博士,硕士生导师,主要从事土地利用变化与生态系统服务研究。E-mail:liting.xu@jxnu.edu.cn

更新日期/Last Update: 2024-04-30