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.
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