SPATIAL-TEMPORAL CHARACTERISTICS AND DRIVING FORCES OF LAND USE CHANGE IN THE CENTRAL PLAINS URBAN AGGLOMERATION OF CHINA FROM THE PERSPECTIVE OF FUNCTIONAL ZONING

被引:0
作者
Wang, H. [1 ,2 ]
Wang, H. R. [1 ]
Zhu, X. Y. [1 ]
Wang, K. [1 ]
机构
[1] Zhengzhou Univ Light Ind, Sch Comp Sci & Technol, Zhengzhou, Peoples R China
[2] Minist Nat Resources, Key Lab Urban Land Resources Monitoring & Simulat, Shenzhen, Peoples R China
来源
APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH | 2025年 / 23卷 / 02期
关键词
LUCC; spatial-temporal evolution; GWLR; Central Plains urban agglomeration; spatial heterogeneity; driving mechanism; DYNAMICS;
D O I
10.15666/aeer/2302_28692895
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Functional zoning is an effective method to disclose the spatial diversity of land and a prerequisite for the optimization of national land space. We explore the spatial and temporal characteristics of land use in the Central Plains urban agglomeration from 1990 to 2020, and the GWLR (geographically weighted-logistic regression) model was used to investigate the key driving elements for the land change in the urban agglomeration as a whole and in different land use function zones. The results indicate that (1) the most significant changes occurred on cultivated and construction land, with land use change intensities of 1.42% and 1.36%, respectively. (2) There are obvious differences in changes among different land function zones. The core economic zone has the highest proportion of change from cultivated land to construction land; within the urban and main agricultural production zones, due to the lack of natural forest and grass growing conditions, the change in land type is also manifested as the extension of construction land. (3) There are large differences among the motivating elements of cultivated land and construction land change in varied eras and different land use function zones, and changes in construction land are more influenced by socio-economic factors.
引用
收藏
页码:2869 / 2895
页数:27
相关论文
共 35 条
[1]   Spatiotemporal patterns of urbanization in three Swiss urban agglomerations: insights from landscape metrics, growth modes and fractal analysis [J].
Bosch, Marti ;
Jaligot, Remi ;
Chenal, Jerome .
LANDSCAPE ECOLOGY, 2020, 35 (04) :879-891
[2]  
[蔡海生 Cai Haisheng], 2020, [农业工程学报, Transactions of the Chinese Society of Agricultural Engineering], V36, P261
[3]   Study on the Evolutionary Features and Driving Factors of Land-Use System in Xilingol, China [J].
Dong, Zhenhua ;
Rong, Ah ;
Zhang, Jiquan ;
Tong, Zhijun ;
Han, Aru ;
Zhi, Feng .
LAND, 2022, 11 (04)
[4]   Exploring the dynamics of urban sprawl using geo-spatial indices: a study of English Bazar Urban Agglomeration, West Bengal [J].
Dutta, Ipsita ;
Das, Arijit .
APPLIED GEOMATICS, 2019, 11 (03) :259-276
[5]   Dynamics of land use, land cover change trend and its drivers in Jimma Geneti District, Western Ethiopia [J].
Hailu, Alemenesh ;
Mammo, Siraj ;
Kidane, Moges .
LAND USE POLICY, 2020, 99
[6]   1992—2015年中亚五国LUCC特征及耕地驱动力研究 [J].
韩海青 ;
王旭红 ;
牛林芝 ;
梁秀娟 ;
蒋晓辉 ;
谭竹婷 .
中国生态农业学报(中英文), 2021, 29 (02) :325-339
[7]  
[何青松 He Qingsong], 2022, [中国土地科学, China Land Science], V36, P85
[8]   Comparison of urban growth patterns and changes between three urban agglomerations in China and three metropolises in the USA from 1995 to 2015 [J].
He, Qingsong ;
Zeng, Chen ;
Xie, Peng ;
Tan, Shukui ;
Wu, Jiayu .
SUSTAINABLE CITIES AND SOCIETY, 2019, 50
[9]   Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices [J].
Huang, Bo ;
Wu, Bo ;
Barry, Michael .
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2010, 24 (03) :383-401
[10]   Integrating CVOR-GWLR-Circuit model into construction of ecological security pattern in Yunnan Province, China [J].
Jin, Lijuan ;
Xu, Quanli ;
Yi, Junhua ;
Zhong, Xincheng .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (54) :81520-81545