Journal
JOURNAL OF ENVIRONMENTAL MANAGEMENT
Volume 88, Issue 4, Pages 775-783Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jenvman.2007.04.003
Keywords
land change; status and trend; Markov models; remote sensing; oasis; Sangong River; Xinjiang; Northwest China
Categories
Funding
- National Natural Science Foundation of China [40471134]
- program of Lights of the West China by the Chinese Academy of Science
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Land change is often studied with Markov, models to develop a probability transition matrix. The existing methods dependent Oil Such matrixes cannot effectively characterize some important aspects associated with land change such as status, direction. trend and regional variations. This study presents mathematical models to quantify these elements, defining unbalanced, quasi-balanced and balanced status, one- and two-way transitions and the rising or falling trends. Using these models and remote-sensing imageries, the landscape was studied for a case area, the oasis of Sangong River in Xinjiang, Northwest China where typical and conditions prevail. Land expansion and contraction among various land types and for the entire oasis were analyzed for the periods of 1978-1987. 1978-1998 and 1987-1998. The changes were closely related to a strong economic growth after the land-reform campaign and adoption of the market economy in China in the 1980s to early 1990s a process not strictly Markovian that requires stationarity and randomness. Information on land-change status and trend is important for a better understanding of the underlying driving processes but also for land-Use planning and decision-making. (C) 2007 Elsevier Ltd. All rights reserved.
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