Spatial–temporal evolution and land use transition of rural settlements in mountainous counties

地理 人类住区 土地利用 生态学 环境保护 经济地理学 考古 生物
作者
Song Chen,Xiyue Wang,Yi Qiang,Qing Lin
出处
期刊:Environmental Sciences Europe [Springer Science+Business Media]
卷期号:36 (1) 被引量:14
标识
DOI:10.1186/s12302-024-00868-y
摘要

Abstract Background Rural settlements are undergoing significant changes under the rapid urbanisation, and understanding their evolution characteristics and surrounding land use will provide a basis for land spatial planning. This study takes Pingnan County, Fujian Province, China as study area, reveals the characteristics of spatial–temporal evolution and surrounding land use transition of settlements during 1985–2020 through landscape metrics, spatial “hot spot” analysis, scale classification statistics, rank-size model, Gini index, land use transition matrix. Results The results show that: (1) Concerning the size and morphological characteristics, the settlements have witnessed a considerable increase in number and scale while remaining stable in shape. (2) Regarding spatial distribution characteristics, the settlements became more evenly spread, forming three main hotspot clusters. (3) Concerning scale structure characteristics, there are significant differences in scale, growth rates, and polarisation of settlements; the polarisation of large settlements shifted from a marked divergence before 2010 to a more balanced trend after 2010. (4) The land use transition around settlements differed in buffer zones and periods. During 1985–2010, settlement expansion heavily depended on cropland, depleting nearby resources, with an increase of woodland and grassland. During 2010–2020, expansion integrated cropland, woodland, and grassland, with cropland growth mainly encroaching on woodland and grassland. Conclusions The study's findings are significant for optimising rural settlement structure in mountains and promoting sustainable land resource use.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
开心发布了新的文献求助30
1秒前
RandyChen完成签到,获得积分10
1秒前
量子星尘发布了新的文献求助10
2秒前
3秒前
胖子完成签到,获得积分10
7秒前
zhaoxiaonuan完成签到,获得积分10
8秒前
酷波er应助dddd采纳,获得10
9秒前
俏皮元珊完成签到 ,获得积分10
9秒前
蒋若风完成签到,获得积分10
9秒前
i2stay完成签到,获得积分10
14秒前
111111完成签到,获得积分10
15秒前
量子星尘发布了新的文献求助10
15秒前
Radisson完成签到,获得积分10
15秒前
fjmelite完成签到 ,获得积分10
16秒前
杨一完成签到 ,获得积分10
17秒前
Sofia完成签到 ,获得积分0
19秒前
粗犷的谷秋完成签到 ,获得积分10
21秒前
小休完成签到 ,获得积分10
21秒前
CooL完成签到 ,获得积分10
21秒前
23秒前
zxy应助唐泽雪穗采纳,获得30
24秒前
量子星尘发布了新的文献求助10
26秒前
mcquery完成签到,获得积分10
26秒前
weila完成签到 ,获得积分10
29秒前
AskNature完成签到,获得积分10
29秒前
聪慧的从雪完成签到 ,获得积分10
29秒前
foyefeng完成签到,获得积分10
32秒前
35秒前
量子星尘发布了新的文献求助30
37秒前
MaRin完成签到,获得积分10
37秒前
mm完成签到 ,获得积分10
37秒前
青黛完成签到 ,获得积分10
38秒前
MaRin发布了新的文献求助10
39秒前
莫x莫完成签到 ,获得积分10
41秒前
bless完成签到 ,获得积分10
41秒前
半斤完成签到 ,获得积分10
41秒前
小葵花完成签到 ,获得积分10
42秒前
AA完成签到 ,获得积分10
42秒前
Rainielove0215完成签到,获得积分0
43秒前
雪菁灵完成签到 ,获得积分10
44秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Acute Mountain Sickness 2000
Handbook of Milkfat Fractionation Technology and Application, by Kerry E. Kaylegian and Robert C. Lindsay, AOCS Press, 1995 1000
A novel angiographic index for predicting the efficacy of drug-coated balloons in small vessels 500
Textbook of Neonatal Resuscitation ® 500
The Affinity Designer Manual - Version 2: A Step-by-Step Beginner's Guide 500
Affinity Designer Essentials: A Complete Guide to Vector Art: Your Ultimate Handbook for High-Quality Vector Graphics 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5066726
求助须知:如何正确求助?哪些是违规求助? 4288676
关于积分的说明 13360388
捐赠科研通 4108050
什么是DOI,文献DOI怎么找? 2249494
邀请新用户注册赠送积分活动 1254924
关于科研通互助平台的介绍 1187333