摘要
在国家乡村振兴战略下,理解农村聚落格局和影响因素对合理利用土地资源,促进城乡协调发展具有重要意义。基于此,以宁波四明山区为例,综合运用景观格局指数、核密度分析、Voronoi图的变异系数及GIS空间分析等方法,定量分析了农村聚落的空间分布特点及影响因素。研究结果表明:宁波四明山区农村聚落呈现明显的空间分异特征,在空间上呈现北部和东部集聚,主要受海拔、坡度、河流、道路、耕地等因素影响沿线错落分布。以梨洲街道、陆埠镇、河姆渡镇、横街镇为主是高密度区,向西部和南部依次为以溪口镇、四明山镇为主的低密度区。该研究可为宁波四明山区农村聚落的土地整理及规划提供新依据,也能为生态功能区建设提供借鉴意义。
A better understanding of the spatial pattern of rural settlements is of great significance to promote the high-efficient use of land resources and facilitate urban-rural integration under China s rural revitalization strategy.The objective of this study is to quantify the spatial pattern and influence factors of rural settlements by using Ningbo s Siming mountain area as a case.In addition,the landscape pattern metrics,nuclear density analysis,the coefficient of variation of Voronoi diagram,and GIS-based spatial analysis were implemented.The results showed that:(1)the rural settlements in Ningbo s Siming mountain area had obvious spatial differentiation characteristics,which were high concentrated in the north and the east part of Siming mountain area;(2)the spatial pattern of rural settlements was highly impacted by the distribution of certain significant factors,including elevation,slope,rivers,roads and cultivated lands;(3)the high-density rural areas included Lizhou street,Lubu town,Hemudu town,and Hengjie town,while the low-density rural areas were located in the west and the south part,such as Xikou and Siming towns,respectively.This study can provide valuable planning implications for future consolidation of rural areas in the Siming mountain area,as well as for constructing ecological function regions.
作者
寇相玮
李伟芳
姜文达
毛菁旭
赵柯
KOU Xiangwei;LI Weifang;JIANG Wenda;MAO Jingxu;ZHAO ke(Geography&Spatial Information Techniques Department of Ningbo University,Ningbo 315211,China;Faculty of Architectural,Civil Engineering and Environment,Ningbo University,Ningbo 315211,China)
出处
《山地学报》
CSCD
北大核心
2018年第5期784-791,共8页
Mountain Research
基金
浙江省社会科学重点研究基地2015年度省社科规划项目(15JDHY01YB)~~
关键词
农村聚落
空间格局
影响因素
四明山区
rural settlements
spatial pattern
influence factors
Siming mountain area