The driving mechanism of human forces to the land use change in the karst mountain area the case study of Guizhou province
Hui Zhang
Abstract
Hui Zhang
Abstract
Based on the analysis on the characteristics of land use change and its related social and economic conditions in the past ten years in some typical counties of Guizhou Province, an index system representing land use change and human driving forces is submitted in this paper. Upon these indices, a relationship between land use change and human driving forces is discussed to reveal the mechanism of land use change under the driving of human forces and the relative weight of the driving forces. The result from factor ananlysis shows that the amount of food of per capita and the ratio of agricultural population are more important in driving the land use change. The correlation coefficients between the indices representing land use and driving forces tell the connection between factors, and population density and grain production are correlated more closely with the land use indices. The contribution of human driving forces to land use change in the study area is studied by the method of multiple regression, from which we can conclude than human driving forces can interprete the land use change at the level of 70% ̄90%.
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Based on the analysis on the characteristics of land use change and its related social and economic conditions in the past ten years in some typical counties of Guizhou Province, an index system representing land use change and human driving forces is submitted in this paper. Upon these indices, a relationship between land use change and human driving forces is discussed to reveal the mechanism of land use change under the driving of human forces and the relative weight of the driving forces. The result from factor ananlysis shows that the amount of food of per capita and the ratio of agricultural population are more important in driving the land use change. The correlation coefficients between the indices representing land use and driving forces tell the connection between factors, and population density and grain production are correlated more closely with the land use indices. The contribution of human driving forces to land use change in the study area is studied by the method of multiple regression, from which we can conclude than human driving forces can interprete the land use change at the level of 70% ̄90%.
Key concepts: Driving factors, Per capita, Geography, Land use, land-use change and forestry, Land use, Population, Index (typography), Physical geography