Spatiotemporal dynamics of cropland expansion and its driving factors in the Yangtze River Economic Belt: A nuanced analysis at the county scale

被引:28
|
作者
Wang, Liye [1 ]
Zhang, Siyu [2 ]
Xiong, Qiangqiang [1 ]
Liu, Yu [3 ]
Liu, Yanfang [1 ]
Liu, Yaolin [1 ,4 ]
机构
[1] Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China
[2] Huazhong Agr Univ, Coll Publ Adm, Wuhan 430070, Peoples R China
[3] Chinese Univ Hong Kong, Dept Geog & Resource Management, Hong Kong, Peoples R China
[4] Wuhan Univ, Collaborat Innovat Ctr Geospatial Informat Technol, 129 Luoyu Rd, Wuhan 430079, Peoples R China
关键词
Driving mechanism; Geographically and temporally weighted; regression; Spatiotemporal heterogeneity; Yangtze River Economic Belt; Cropland expansion; Socioeconomic factors; LAND-USE CHANGE; ECOSYSTEM SERVICES; GRAIN PRODUCTION; FARMLAND PROTECTION; URBAN EXPANSION; CHINA; IMPACTS; CITY; URBANIZATION; EFFICIENCY;
D O I
10.1016/j.landusepol.2022.106168
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
With rapid urbanization and population increase, cropland has received considerable attention worldwide as a key factor for global food security. To a certain extent, cropland expansion is an important step in maintaining cropland areas. However, research related to the spatiotemporal heterogeneity of cropland expansion and its driving factors remains scarce in the literature. Thus, this research used spatial autocorrelation analysis and the geographically and temporally weighted regression (GTWR) model to explore the spatiotemporal heterogeneity of cropland expansion and its driving factors in three time intervals (2000-2005, 2005-2010, and 2010-2015) at the county scale for the Yangtze River Economic Belt (YREB), one of the main areas for rice production in China. Specifically, we selected fifteen explanatory variables from the perspectives of socioeconomic development, environmental conditions, and cropland status. Results showed that the regions with large cropland expansion areas changed substantially with time but were mainly clustered in the middle of the research area. Additionally, although the degree of influence of the selected variables within each driving factor on cropland expansion differed across space and time, the variables of population, investment in fixed assets, digital elevation model (DEM), and cropland area were the factors that showed a decreasing positive effect on cropland expansion, while GDP in the primary industry, area of new construction land, public finance expenditure, total grain yield, area of a county, precipitation, accumulated temperature, organic matter, patch density, and division index had a sig-nificant positive effect on cropland expansion. This research can help decision-makers develop different cropland protection policies according to the situation of cropland expansion and its driving factors in different regions and thus promote sustainable development.
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页数:18
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