Multi‐Scenario Simulation of Land Use Changes and Their Ecological Risk in the Global Largest Inland Arid Urban Agglomeration

干旱 集聚经济 地理 城市群 土地利用 环境科学 生态学 环境资源管理 经济地理学 经济 生物 经济增长
作者
Xiaojuan Zhi,Xiaojun Song,Jing Ma,Yongjun Yang,Zhanbin Luo,Fu Chen
出处
期刊:Land Degradation & Development [Wiley]
卷期号:36 (9): 3211-3226
标识
DOI:10.1002/ldr.5561
摘要

ABSTRACT Rapid global urbanization had significantly altered land use (LU), threatening the ecology and sustainability of arid regions. Systematic and forward‐looking analyses of land use changes (LUCs) and ecological risks in Asia's arid zones, particularly the urban agglomeration on the northern slope of the Tianshan Mountains (UANSTM), remained limited. Herein, the LUCs in UANSTM under four scenarios, including the ecology‐economy balanced development scenario (EES), ecological protection scenario (EPS), economic development scenario (EDS), and natural development scenario (NDS) in 2030, was predicted by employing the PLUS model and the multi‐objective programming (MOP) model. Then, an evaluation system was developed from the dimensions of urban expansion, ecological risk, food demand, and ecological degradation to assess the corresponding ecological risk in each case. The results showed that: (1) Under each scenario, desert bare land and grassland were found to be the main LU modes in UANSTM, with a significant increase in cultivated land and negligible change in water and forest; (2) the grassland area decreased under the NDS scenario, while the areas of grassland, forest land, cultivated land, and construction land increased under other scenarios, especially from unused land and grassland; (3) LU‐induced ecological risks under these scenarios showed similarities, with overall high ecological risks. Among them, 52.04% of the areas were found to be at high and relatively high‐risk levels, and only 2.97% were at low‐risk levels. This study reveals the diversified risks of LUCs under different scenarios, thereby facilitating the individualized planning of environmental protection and ecological restoration in the UANSTM.
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
希望天下0贩的0应助nav采纳,获得10
1秒前
深情安青应助xpxpxpx采纳,获得10
3秒前
长庚完成签到,获得积分10
4秒前
5秒前
6秒前
可爱的函函应助Ratziel采纳,获得10
8秒前
Jun完成签到 ,获得积分10
10秒前
LL完成签到,获得积分10
10秒前
stephenzh完成签到,获得积分10
10秒前
闪闪半芹发布了新的文献求助10
10秒前
11秒前
谦让的映容完成签到 ,获得积分10
11秒前
enn完成签到,获得积分10
11秒前
12秒前
demiurge1202完成签到 ,获得积分10
13秒前
13秒前
13秒前
14秒前
15秒前
15秒前
16秒前
闪闪半芹完成签到,获得积分20
16秒前
666sp完成签到,获得积分10
17秒前
lin发布了新的文献求助10
17秒前
kaisa完成签到,获得积分10
17秒前
临风完成签到,获得积分10
18秒前
复杂蛋挞完成签到,获得积分10
18秒前
19秒前
HYY发布了新的文献求助10
20秒前
20秒前
去有你的季节完成签到,获得积分10
20秒前
科研通AI6.4应助笙忘采纳,获得10
20秒前
enn发布了新的文献求助30
21秒前
wulanshu发布了新的文献求助10
21秒前
666sp发布了新的文献求助10
22秒前
大米完成签到,获得积分20
22秒前
汉堡包应助阿信采纳,获得10
23秒前
嗯哼完成签到,获得积分10
23秒前
23秒前
kbkyvuy完成签到,获得积分10
23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
Principles of town planning: translating concepts to applications 1000
Navigating Normative Orders. Interdisciplinary Perspectives 800
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 7740554
求助须知:如何正确求助?哪些是违规求助? 9289143
关于积分的说明 20194146
捐赠科研通 7318694
什么是DOI,文献DOI怎么找? 3306459
关于科研通互助平台的介绍 2458706
邀请新用户注册赠送积分活动 2316591