Spatiotemporal dynamics of cropland expansion and its driving factors in the Yangtze River Economic Belt: A nuanced analysis at the county scale

驱动因素 城市化 地理 土地利用 比例(比率) 人口 人口增长 土地利用、土地利用的变化和林业 自然地理学 环境科学 中国 农业经济学 农业 生态学 经济 地图学 经济增长 人口学 考古 社会学 生物
作者
Liye Wang,Siyu Zhang,Qiangqiang Xiong,Yu Liu,Yanfang Liu,Yaolin Liu
出处
期刊:Land Use Policy [Elsevier BV]
卷期号:119: 106168-106168 被引量:32
标识
DOI:10.1016/j.landusepol.2022.106168
摘要

With rapid urbanization and population increase, cropland has received considerable attention worldwide as a key factor for global food security. To a certain extent, cropland expansion is an important step in maintaining cropland areas. However, research related to the spatiotemporal heterogeneity of cropland expansion and its driving factors remains scarce in the literature. Thus, this research used spatial autocorrelation analysis and the geographically and temporally weighted regression (GTWR) model to explore the spatiotemporal heterogeneity of cropland expansion and its driving factors in three time intervals (2000–2005, 2005–2010, and 2010–2015) at the county scale for the Yangtze River Economic Belt (YREB), one of the main areas for rice production in China. Specifically, we selected fifteen explanatory variables from the perspectives of socioeconomic development, environmental conditions, and cropland status. Results showed that the regions with large cropland expansion areas changed substantially with time but were mainly clustered in the middle of the research area. Additionally, although the degree of influence of the selected variables within each driving factor on cropland expansion differed across space and time, the variables of population, investment in fixed assets, digital elevation model (DEM), and cropland area were the factors that showed a decreasing positive effect on cropland expansion, while GDP in the primary industry, area of new construction land, public finance expenditure, total grain yield, area of a county, precipitation, accumulated temperature, organic matter, patch density, and division index had a significant positive effect on cropland expansion. This research can help decision-makers develop different cropland protection policies according to the situation of cropland expansion and its driving factors in different regions and thus promote sustainable development.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
lyyyyyy发布了新的文献求助10
刚刚
传奇3应助桃之夭夭采纳,获得10
刚刚
刚刚
刚刚
1秒前
2秒前
3秒前
浪子驳回了dde应助
3秒前
七月晴发布了新的文献求助10
4秒前
梦中学习完成签到 ,获得积分10
4秒前
天天发布了新的文献求助10
4秒前
领导范儿应助微笑访卉采纳,获得10
4秒前
yeee发布了新的文献求助30
4秒前
热情的黑猫应助Demo采纳,获得10
5秒前
hhhh关注了科研通微信公众号
5秒前
6秒前
cdercder应助chi1采纳,获得10
7秒前
Wonder罗发布了新的文献求助10
7秒前
lyyyyyy完成签到,获得积分10
7秒前
Xiaoyu发布了新的文献求助10
8秒前
8秒前
8秒前
高赛文发布了新的文献求助10
9秒前
10秒前
11秒前
niniyiya发布了新的文献求助10
12秒前
科研甜菜发布了新的文献求助10
12秒前
昏睡的帆布鞋完成签到 ,获得积分10
13秒前
dfdg完成签到 ,获得积分10
13秒前
在水一方应助xuwenli采纳,获得20
15秒前
非淡泊无以明志完成签到,获得积分10
15秒前
Moyee完成签到,获得积分10
16秒前
16秒前
大模型应助欢呼谷雪采纳,获得10
17秒前
爆米花应助格洛采纳,获得10
17秒前
小蘑菇应助曲幻梅采纳,获得10
18秒前
18秒前
科研通AI2S应助陈龙采纳,获得10
19秒前
英姑应助调皮的凝丹采纳,获得10
19秒前
星辰大海应助天天采纳,获得10
23秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Blackwell's five-minute veterinary consult clinical companion: small animal gastrointestinal diseases 500
Data book on fatigue strength of metallic materials 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7563751
求助须知:如何正确求助?哪些是违规求助? 9144268
关于积分的说明 19552237
捐赠科研通 7151262
什么是DOI,文献DOI怎么找? 3262390
关于科研通互助平台的介绍 2428640
邀请新用户注册赠送积分活动 2252109