[1]JIA Ke-li,ZHANG Jun-hua.Analysis on Land Use Change and Its Driving Forces in Arid Area of Central Ningxia Hui Autonomous Region[J].Research of Soil and Water Conservation,2011,18(06):62-66.
Copy
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
18
Number of periods:
2011 06
Page number:
62-66
Column:
Public date:
2011-12-20
- Title:
-
Analysis on Land Use Change and Its Driving Forces in Arid Area of Central Ningxia Hui Autonomous Region
- Author(s):
-
JIA Ke-li1, ZHANG Jun-hua2
-
1. School of Resources and Environment, Ningxia University, Yinchuan 750021, China;
2. The Applied Research and Development Center For New Technology, Ningxia University, Yinchuan 750021, China
-
- Keywords:
-
land use; driving force; information entropy; changing trend; arid area of central Ningxia Hui Autonomous Region
- CLC:
-
F301.24
- DOI:
-
-
- Abstract:
-
By using data derived from the 1978 MSS image and 1987, 1996, 2007 Landsat TM/ETM images and with the help of GIS, the land use change in arid area of central Ningxia Hui Autonomous Region was analyzed. At the same time, the driving forces of the land use change was identified by making use of the correlation analysis and principal component. The results showed that the overall trend of land use change in arid area of central Ningxia Hui Autonomous Region was in an enlargement of the areas of cultivated land, urban land, whereas sandy land area decreased 281 682 hm2, an average annual increase rate grassland area was 0.17%, and area of forest land reduced nearly 30 000 hm2 over 30 years. The land use information entropy indicating that the degree of disorder for land use system increased, and the structure of land use became complexity and diversity. It was considered that population, economic, regional socio-economic development degree, industrial structure, agricultural production, socio-input, government policy, and natural factors are the main driving forces inducing land use change in arid area of central Ningxia Hui Autonomous Region. More importantly, the principal component analysis showed that the impacts of human activity combining with some other conditions were the leading factors that induced dynamic change of the 1and use.