Spatiotemporal Variations of Land Use/Cover Changes in Inner Mongolia (China) during 1980–2015

Siqin Tong, Zhenhua Dong, Jiquan Zhang, Yongbin Bao, Ari Guna and Yuhai Bao
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Siqin Tong: School of Environment, Northeast Normal University, Changchun 130024, China
Zhenhua Dong: School of Environment, Northeast Normal University, Changchun 130024, China
Jiquan Zhang: School of Environment, Northeast Normal University, Changchun 130024, China
Yongbin Bao: School of Environment, Northeast Normal University, Changchun 130024, China
Ari Guna: School of Environment, Northeast Normal University, Changchun 130024, China
Yuhai Bao: Geography, Inner Mongolia Normal University, Hohhot 010022, China

Sustainability, 2018, vol. 10, issue 12, 1-16

Abstract: Land use/cover change (LUCC) is one of the major environmental changes and has become a hot topic in the study of global change. Based on four land use classification maps, this study used the intensity analysis method to quantitatively monitor the land use changes which occurred in Inner Mongolia during 1980–2015. The results showed that changes occurred although the trends of corresponding land use types were different (increase or decrease), and the land use changes had an obvious increasing or decreasing trend before and after 2000, respectively. Generally, woodland, high-coverage grassland, and moderate-coverage grassland decreased and the other land use types increased during 1980–2015. In addition, the changes had great differences in spatial distribution. The area of grassland had the largest decrease, indicating that the quality of grassland has declined in Inner Mongolia. The variation rate of land use in 1980–1990 was faster than the rates in 1990–2000 and 2000–2015.

Keywords: land use/cover change; spatiotemporal variation; intensity analysis; Inner Mongolia (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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