Spatial-Temporal Patterns and Driving Forces of Ecological-Living-Production Land in Hubei Province, Central China

被引:29
作者
Cai, Enxiang [1 ]
Jing, Ying [1 ]
Liu, Yaolin [1 ,2 ,3 ]
Yin, Chaohui [1 ]
Gao, Yuan [1 ]
Wei, Junqing [1 ]
机构
[1] Wuhan Univ, Sch Resource & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China
[2] Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China
[3] Collaborat Innovat Ctr Geospatial Informat Techno, Wuhan 430079, Hubei, Peoples R China
关键词
ecological-living-production land (ELPL); classification system; spatio-temporal pattern; driving force; Hubei Province; ECOSYSTEM SERVICES; URBANIZATION; SCALES;
D O I
10.3390/su10010066
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Ecological-living-production land (ELPL) is gaining an increasing attention of governors, planners and scholars to alleviate ecological deterioration on the premise of ensuring regional sustainable development in China. This paper has built an ecological-living-production land classification system (ELCS) by the reclassification method, and further analyzed the spatio-temporal characteristics and evolution mechanism of ELPL from 2009 to 2014 with a case study of Hubei Province of Central China. The results show that (1) land with an ecological function held a dominant role in Hubei Province. Ecological land (EL) and production-eco land (PEL) covered the largest areas. The area of EL was the largest in Western Hubei Eco-cultural Tourism Circle (WHETC), and the area of PEL accounted for the largest proportion in Wuhan Urban Circle (WUC). (2) Land with an ecological function was decreasing continuously, while the land with living function expanded rapidly. Additionally, the intensity of ELPL changes in the WUC was higher than that in the WHETC. (3) The changes of ELPL threatened the food and ecological security and adversely affected the sustainable development. The factors of population growth and GDP increase were the main driving forces of ELPL change. The results of this study provide valuable information for planning decision makings (e.g., the ELPL spatial pattern optimization).
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页数:15
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