Evolution of land use functions and their trade-offs/synergies relationship in resource-based cities

资源(消歧) 环境资源管理 自然资源经济学 土地利用 生态学 地理 业务 环境科学 经济 计算机科学 生物 计算机网络
作者
Yifang Wang,Linlin Cheng,Yang Zheng,Junqi Wang,Huizhen Cui
出处
期刊:Ecological Indicators [Elsevier BV]
卷期号:165: 112175-112175 被引量:6
标识
DOI:10.1016/j.ecolind.2024.112175
摘要

The industrialization of resource-based cities exerts a profound influence on their land system. The land use functions (LUFS), are concealed representation of this land system, can highlight issues in human-land relations. To address these challenges, we have developed a bottom-up approach for constructing an LFUS evaluation system tailored to resource-based cities. This system assesses the evolution of the LUFS, its trade-offs, and synergies on a grid scale, with applications in the resource-depleted city of Xintai. The research findings indicate the following:(1) From 1985 to 2021, the LFUS, including production function (PF) and living functions (LF), showed a generally increasing trend. Ecological function (EF), however, fluctuated, initially decreasing, then increasing, and subsequently decreasing again. (2) During this period, the trade-off relationship between PF and LF strengthened from 1985 to 1996, weakened in 2011, and PF-EF showed a weak trade-off in 1985, transitioned to a synergy from 1996 to 2011, and reverted to a trade-off in 2021. (3) The relationships among LUFS elements showed mechanisms for the formation of trade-off and synergy relationships among LUFS. Conflicts between cultivated land and construction land primarily contributed to the trade-off between PF and LF. Meanwhile, conflicts between cultivated land and ecological land led to the trade-off between PF and EF, and conflicts between construction land and ecological land contributed to the trade-off between LF and EF. This study presents a bottom-up approach for constructing a LUFS evaluation indicator system for resource-based cities. This research provides valuable insights for land use decision-making, addressing the sustainability needs of transitioning resource-based cities.
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
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
abin发布了新的文献求助10
刚刚
BaK发布了新的文献求助10
刚刚
木鸽子完成签到,获得积分10
1秒前
11发布了新的文献求助10
1秒前
2秒前
哈德森发布了新的文献求助10
2秒前
mingjingbingying完成签到,获得积分10
3秒前
HeWang完成签到,获得积分10
3秒前
科研通AI6.4应助蓝天采纳,获得10
4秒前
澎湃发布了新的文献求助10
4秒前
晨曦微露完成签到,获得积分10
4秒前
老迟到的从波完成签到,获得积分10
4秒前
5秒前
所所应助cency采纳,获得10
6秒前
Betty发布了新的文献求助10
6秒前
研友_VZG7GZ应助fjnm采纳,获得10
7秒前
Anna完成签到 ,获得积分10
7秒前
hhj发布了新的文献求助10
7秒前
7秒前
8秒前
斯文败类应助高高飞风采纳,获得10
9秒前
三杠发布了新的文献求助10
9秒前
哈哈哈应助11采纳,获得10
10秒前
Ava应助11采纳,获得10
10秒前
稳重无招发布了新的文献求助10
11秒前
penguo发布了新的文献求助10
12秒前
小十一完成签到 ,获得积分10
12秒前
abin完成签到,获得积分10
12秒前
12秒前
Ahui完成签到 ,获得积分10
13秒前
13秒前
hhj完成签到,获得积分10
13秒前
13秒前
郑艺蕊发布了新的文献求助30
14秒前
14秒前
Betty完成签到,获得积分10
15秒前
科目三应助取名真烦采纳,获得10
15秒前
科研通AI6.2应助kerbal采纳,获得10
16秒前
gao完成签到,获得积分10
16秒前
炙热尔阳发布了新的文献求助10
16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
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
适配Micro-LED色转换的高兼容性量子点负性光刻胶制备与工艺研究 500
Direct and Iterative Linear System Solvers 500
Vander's Renal Physiology第10版 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 7309766
求助须知:如何正确求助?哪些是违规求助? 8926792
关于积分的说明 18919719
捐赠科研通 6971938
什么是DOI,文献DOI怎么找? 3213024
关于科研通互助平台的介绍 2381440
邀请新用户注册赠送积分活动 2191096