DocumentCode
496948
Title
Study on Driving Forces of Small-Scale Land Use Based on Logistic Regression Model A Case Study of Fubei Farm of Xinjiang Province
Author
Jiang, Liangqun ; Zhang, Bin ; Shu, Chengqiang ; Xiao, Luxiang
Author_Institution
Coll. of Land & Resources, China West Normal Univ., Nanchong, China
Volume
2
fYear
2009
fDate
4-5 July 2009
Firstpage
213
Lastpage
216
Abstract
Land use/land cover change (LUCC) research has been given close attention during the past decade, because of the pivotal role of LUCC in many aspects like global climatic change, food security, soil degradation and biodiversity. The researches of land use change deal with different spatio-temporal scales, they are increasingly turning from global dimension towards regional dimension research. Taking the case of Fubei Farm of Xinjiang, this study analysed the driving forces of land use changes in small-scale through logistic regression analysis. The results show that: salinity crops area reduction is the driving force of output per unit area of land, soil organic matter content and groundwater salinity, the main reasons of the food crops area to reduce is net output per unit area, the driving factors of the economic crops area to increase are the net output per unit area and the total agricultural output value.
Keywords
agriculture; crops; environmental factors; groundwater; regression analysis; soil; terrain mapping; China; Fubei farm; LUCC research; Xinjiang province; crop area reduction; groundwater salinity; land use-land cover change; logistic regression model; small scale land use change; soil organic matter content; total agricultural output value; Crops; Data mining; Educational institutions; Electronic mail; Logistics; Regression analysis; Sampling methods; Soil; Statistics; Turning; driving force of land use change; logistic regression analysis; small scale;
fLanguage
English
Publisher
ieee
Conference_Titel
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3682-8
Type
conf
DOI
10.1109/ESIAT.2009.58
Filename
5199873
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