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

被引:0
作者
Zhi, Xiaojuan [1 ]
Song, Xiaojun [1 ]
Ma, Jing [1 ,2 ]
Yang, Yongjun [3 ]
Luo, Zhanbin [1 ]
Chen, Fu [1 ,2 ]
机构
[1] Hohai Univ, Sch Publ Adm, Nanjing, Peoples R China
[2] Observat Res Stn Land Ecol & Land Use Yangtze Rive, MNR, Changzhou, Peoples R China
[3] China Univ Min & Technol, Sch Environm & Spatial Informat, Xuzhou, Peoples R China
关键词
ecological risk analysis; land use type changes; multi-scenario simulation; northern slope of the Tianshan Mountains; PLUS model; EVOLUTION; CHINA;
D O I
10.1002/ldr.5561
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:3211 / 3226
页数:16
相关论文
共 50 条
[41]   Impacts of multi-scenario land use change on ecosystem services and ecological security pattern: A case study of the Yellow River Delta [J].
Cen, Xuehua ;
Zhang, Hua .
RESEARCH IN COLD AND ARID REGIONS, 2024, 16 (01) :30-44
[42]   Spatiotemporal pattern and multi-scenario simulation of ecological risk in mountainous cities: a case study in Chongqing, China [J].
Zhaoyang Wang ;
Junyi Zhang ;
Haiyi Li ;
Fengtai Zhang .
Environmental Monitoring and Assessment, 2023, 195
[43]   Multi-scenario simulation of landscape ecological risk probability to facilitate different decision-making preferences [J].
Cao, Qiwen ;
Zhang, Xiwen ;
Lei, Dongmei ;
Guo, Liying ;
Sun, Xiaohui ;
Kong, Fan'en ;
Wu, Jiansheng .
JOURNAL OF CLEANER PRODUCTION, 2019, 227 :325-335
[44]   Optimization land use based on multi-scenario simulation of ecosystem service for sustainable landscape planning in a mixed urban-Forest watershed [J].
Mohammadyari, Fatemeh ;
Tavakoli, Mohsen ;
Zarandian, Ardavan ;
Abdollahi, Sedighe .
ECOLOGICAL MODELLING, 2023, 483
[45]   Spatiotemporal pattern and multi-scenario simulation of ecological risk in mountainous cities: a case study in Chongqing, China [J].
Wang, Zhaoyang ;
Zhang, Junyi ;
Li, Haiyi ;
Zhang, Fengtai .
ENVIRONMENTAL MONITORING AND ASSESSMENT, 2023, 195 (06)
[46]   Predicting and assessing changes in NPP based on multi-scenario land use and cover simulations on the Loess Plateau [J].
Jiang, Xiaowei ;
Bai, Jianjun .
JOURNAL OF GEOGRAPHICAL SCIENCES, 2021, 31 (07) :977-996
[47]   Multi-scenario Simulation for 2060 and Driving Factors of the Eco-spatial Carbon Sink in the Beibu Gulf Urban Agglomeration, China [J].
Menglin Qin ;
Yincheng Zhao ;
Yuting Liu ;
Hongbo Jiang ;
Hang Li ;
Ziming Zhu .
Chinese Geographical Science, 2023, 33 :85-101
[48]   Spatiotemporal evolution and driving factors of ecosystem service bundle based on multi-scenario simulation in Beibu Gulf urban agglomeration, China [J].
Jiang, Hongbo ;
Qin, Menglin ;
Wu, Xinyu ;
Luo, Dingding ;
Ouyang, Huiting ;
Liu, Yuting .
ENVIRONMENTAL MONITORING AND ASSESSMENT, 2024, 196 (06)
[49]   Multi-scenario Simulation for 2060 and Driving Factors of the Eco-spatial Carbon Sink in the Beibu Gulf Urban Agglomeration, China [J].
Qin, Menglin ;
Zhao, Yincheng ;
Liu, Yuting ;
Jiang, Hongbo ;
Li, Hang ;
Zhu, Ziming .
CHINESE GEOGRAPHICAL SCIENCE, 2023, 33 (01) :85-101
[50]   Multi-Scenario Simulation Analysis of Land Use Impacts on Habitat Quality in Tianjin Based on the PLUS Model Coupled with the InVEST Model [J].
Li, Xiang ;
Liu, Zhaoshun ;
Li, Shujie ;
Li, Yingxue .
SUSTAINABILITY, 2022, 14 (11)