Analysis On Driving Force Of LUCC In Regional Hills Of Yimeng

Because of the land use characteristics, the changing process as well as all kinds of influential factors and its function have close connection with spatial scale criterion, we can concretely discuss the influence of natural and social economic factors on land use/cover change in certain regional scope. In the different scale criterion, we can discover the mutual function relations among different type and structure of land use nature, society and economic factors, which may cause different land use/cover changing process. This paper took the Cangshan county which was the typical example county in Regional Hills of Yimeng as an example and discussed the land use/cover change and its driving force .The main results were as follows:This article firstly analyzed the areas of land-use types which had changed in Cangshan County, information about the changes of land-use structure was acquired during 1989 to 2005, after overlaying the two periods land-use map status quo, using spatial analysis packages of MapGIS6.5 software, and external statistics tools. The transition matrix obtained can reveal the spatial land-use pattern changes in Cangshan County. Then, coupled with the statistics from local yearbook, driving forces of cultivated land changes were analyzed via DPS (data process software). According to the stat. data, two periods can be divided using cluster analysis approach: 1989-1999, 2002-2005. PCA (principal component analysis) was carried out about the two periods respectively, and the results showed that: cumulative contribution of the first, second and third principal components of the first period are more than 85%; the first and second of the second period are more than 85%. Indicators of each principal component were calculated according to the eigenvalues of each of them, and driving forces of cultivated land in each period can acquired.Finally, driving models of cultivated land in each period were established using multi-regression analysis, on the basis of the results analyzed above. The results indicate, GDP (gross domestic product) per capita, labor force of farm, forest, fishery/total labor force, proportion of the second industry and agricultural mechanic power per cultivated land area are the main forces driving the changes of cultivated land during 1989-1999; and population, turnover, annual temperature and labor force of farm, forest, fishery/total labor force are that during 2000-2005.