Simulating land use change for sustainable land management in rapid urbanization regions: a case study of the Yangtze River Delta region

被引:39
作者
Zhang, Zhonghao [1 ]
Wang, Xueting [2 ]
Zhang, Yue [2 ]
Gao, Yang [3 ]
Liu, Yuexin [3 ]
Sun, Ximan [1 ]
Zhi, Junjun [2 ]
Yin, Sufang [4 ]
机构
[1] Shanghai Normal Univ, Inst Urban Studies, Sch Environm & Geog Sci, Shanghai 200234, Peoples R China
[2] Anhui Normal Univ, Sch Geog & Tourism, Wuhu 241002, Peoples R China
[3] China Agr Univ, Coll Land Sci & Technol, Beijing 100193, Peoples R China
[4] Nat Resources & Planning Bur Taihu Cty, Anqing 246400, Anhui, Peoples R China
关键词
Land use change; Land use simulation; Urban expansion; Spatiotemporal dynamics; Driving factor; Yangtze River Delta; DRIVING FACTORS; USE CONFLICTS; URBAN-GROWTH; AREA; EXPANSION; DYNAMICS; CHINA; CITY;
D O I
10.1007/s10980-023-01657-3
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
ContextThe rapid urbanization in China has led to acute land use conflicts between urban expansion and the protection of cropland and ecological land, which have also threatened the sustainable use of land resources and regional sustainable development. However, most current land management policies for solving these conflicts focus on short-term economic benefits, neglecting sustainable land management.ObjectivesThe goal is to propose sustainable land management strategies for balancing the coordinated relationships among urban expansion, cropland protection, and ecological protection in the Yangtze River Delta region (YRDR).MethodsWe used a newly proposed patch-generating land use simulation model to determine the key driving factors and to simulate future land use changes under multiple development scenarios in the YRDR. Additionally, we analysed the evolution process of land use dynamics in the YRDR from 2000 to 2050.ResultsFuture urban expansion was projected to be spatially unevenly distributed under different topographic conditions and among different economic development regions, indicating that more consideration should be given to platform regions and less economically developed areas to meet the demand for future construction activities. Additionally, driving factor analysis suggested that governments should take measures to guide the population to economically underdeveloped areas and that the governments of newly developed areas should focus on extending the local road network first.ConclusionsThe methodological framework for integrating future land use simulations with analyses of driving forces and land use evolution processes can alleviate or eliminate land use conflicts to achieve sustainable land management in rapid urbanization regions.
引用
收藏
页码:1807 / 1830
页数:24
相关论文
共 66 条
[1]   Dynamic Landscape Fragmentation and the Driving Forces on Haitan Island, China [J].
Ai, Jingwen ;
Yang, Liuqing ;
Liu, Yanfen ;
Yu, Kunyong ;
Liu, Jian .
LAND, 2022, 11 (01)
[2]   Modeling ESV losses caused by urban expansion using cellular automata and geographically weighted regression [J].
Chen, Shurui ;
Feng, Yongjiu ;
Tong, Xiaohua ;
Liu, Song ;
Xie, Huan ;
Gao, Chen ;
Lei, Zhenkun .
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 712
[3]   Modeling urban land-use dynamics in a fast developing city using the modified logistic cellular automaton with a patch-based simulation strategy [J].
Chen, Yimin ;
Li, Xia ;
Liu, Xiaoping ;
Ai, Bin .
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2014, 28 (02) :234-255
[4]   Impacts of Land Use Changes on Net Primary Productivity in Urban Agglomerations under Multi-Scenarios Simulation [J].
Chen, Yuhan ;
Wang, Jia ;
Xiong, Nina ;
Sun, Lu ;
Xu, Jiangqi .
REMOTE SENSING, 2022, 14 (07)
[5]   Delineation of a permanent basic farmland protection area around a city centre: Case study of Changzhou City, China [J].
Cheng Qianwen ;
Jiang Penghui ;
Cai Lingyan ;
Shan Jinxia ;
Zhang Yunqian ;
Wang Liyan ;
Li Manchun ;
Li Feixue ;
Zhu Axing ;
Chen Dong .
LAND USE POLICY, 2017, 60 :73-89
[6]   Geographical transformations of urban sprawl: Exploring the spatial heterogeneity across cities in China 1992-2015 [J].
Deng, Yu ;
Qi, Wei ;
Fu, Bojie ;
Wang, Kevin .
CITIES, 2020, 105
[7]   Spatially-explicit modeling and intensity analysis of China's land use change 2000-2050 [J].
Feng, Yongjiu ;
Lei, Zhenkun ;
Tong, Xiaohua ;
Gao, Chen ;
Chen, Shurui ;
Wang, Jiafeng ;
Wang, Siqin .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2020, 263
[8]   Modeling urban encroachment on ecological land using cellular automata and cross-entropy optimization rules [J].
Gao, Chen ;
Feng, Yongjiu ;
Tong, Xiaohua ;
Jin, Yanmin ;
Liu, Song ;
Wu, Peiqi ;
Ye, Zhen ;
Gu, Cairong .
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 744
[9]   Mapping global urban land for the 21st century with data-driven simulations and Shared Socioeconomic Pathways [J].
Gao, Jing ;
O'Neill, Brian C. .
NATURE COMMUNICATIONS, 2020, 11 (01)
[10]   A Random Forest-Cellular Automata modelling approach to explore future land use/cover change in Attica (Greece), under different socio-economic realities and scales [J].
Gounaridis, Dimitrios ;
Chorianopoulos, Ioannis ;
Symeonakis, Elias ;
Koukoulas, Sotirios .
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 646 :320-335