亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Spatial identification and determinants of trade-offs among multiple land use functions in Jiangsu Province, China

中国 地理空间分析 土地整理 地理 环境资源管理 土地利用 比例(比率) 业务 农业 环境规划 环境科学 地图学 土木工程 工程类 考古
作者
Yeting Fan,Le Gan,Changqiao Hong,Laura H. Jessup,Xiaobin Jin,Bryan C. Pijanowski,Yan Sun,Ligang Lv
出处
期刊:Science of The Total Environment [Elsevier]
卷期号:772: 145022-145022 被引量:78
标识
DOI:10.1016/j.scitotenv.2021.145022
摘要

Understanding the relationships among multiple land use functions (LUFs) is crucial for land-based spatial planning that can guide targeted land use policy-making in complex socio-ecological systems. However, few studies concerned the interactions among various LUFs integrating the issues of economy, environment, and society at a fine scale. In this study, we quantified 12 LUFs using a geospatial model and statistical analysis at the grid scale in Jiangsu Province. Then, we identified the relationships among three primary LUFs—agricultural production function (APF), urban-rural living function (ULF), and ecological maintenance function (EMF)—and further explored the determinants of LUF trade-offs aimed to provide a reference for policy-makers to make decisions in future land use planning and management. The results revealed that the high trade-off areas for APF and ULF are mainly distributed in central and northern Jiangsu, and the trade-offs for both APF-EMF and ULF-EMF were higher in the area covered with water and forest. The determinants of LUF trade-offs mainly refers to land use/land cover, potential evapotranspiration, and vegetation coverage ratio. Moreover, landscape configuration metrics and distance to the nearest county and nearest road also have remarkable impacts on the trade-offs of APF-EMF and ULF-EMF. Finally, we proposed that the concepts of LUF trade-offs should be incorporated into the processes of delineating boundaries for urban growth, farmland, and natural areas. We also propose that land consolidation projects should be implemented in an orderly manner to alleviate LUF trade-offs.

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
老阿张发布了新的文献求助10
12秒前
23秒前
HalloYa完成签到 ,获得积分10
24秒前
打打应助科研通管家采纳,获得10
40秒前
bkagyin应助科研通管家采纳,获得10
40秒前
40秒前
40秒前
42秒前
FashionBoy应助HHH采纳,获得10
42秒前
gangzi发布了新的文献求助10
48秒前
flyinthesky完成签到,获得积分10
49秒前
52秒前
gangzi完成签到,获得积分20
54秒前
55秒前
HHH发布了新的文献求助10
59秒前
1111发布了新的文献求助10
59秒前
1分钟前
随风发布了新的文献求助10
1分钟前
科研人完成签到,获得积分10
1分钟前
张晓祁完成签到,获得积分10
1分钟前
闵凝竹完成签到 ,获得积分0
1分钟前
Nick_YFWS完成签到,获得积分10
1分钟前
yueying完成签到,获得积分10
1分钟前
忐忑的黄豆完成签到,获得积分10
1分钟前
1分钟前
123456完成签到 ,获得积分10
1分钟前
1分钟前
华仔应助1111采纳,获得10
1分钟前
付付发布了新的文献求助10
1分钟前
Chen完成签到 ,获得积分10
1分钟前
1分钟前
大力的灵雁应助机灵自中采纳,获得10
1分钟前
李健应助爱听歌笑柳采纳,获得10
2分钟前
1111发布了新的文献求助10
2分钟前
所所应助付付采纳,获得10
2分钟前
1111完成签到,获得积分10
2分钟前
2分钟前
忧心的曼凝完成签到,获得积分0
2分钟前
谦让的中心完成签到,获得积分10
2分钟前
2分钟前
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
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Social Cognition: Understanding People and Events 800
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6027660
求助须知:如何正确求助?哪些是违规求助? 7678988
关于积分的说明 16185611
捐赠科研通 5175091
什么是DOI,文献DOI怎么找? 2769219
邀请新用户注册赠送积分活动 1752598
关于科研通互助平台的介绍 1638407