西藏昌都地区土地利用结构熵值时序分析

研究土地利用结构的变化反映了区域发展和人类活动的强度，是研究区域发展结构的核心内容之一。区域土地利用结构的变化是区域土地利用演变的直接体现，信息熵可以作为土地利用结构有序性的一种度量。借助信息熵理论对藏东地区1992~2004年土地利用结构熵进行了计算与分析，分析结果表明：研究区土地利用结构熵2004年较1992年有所增加，但是增长幅度较小，与全国和西部地区土地利用信息熵水平相比，藏东地区土地利用系统结构熵值较低，有序度较高。土地利用结构变化和地方政策因素是导致昌都地区土地利用结构熵值变化的直接动因，经济发展、人口增长等对土地系统熵值的时序变化也存在影响。信息熵理论反映某区域系统宏观尺度上的土地利用结构特征，对区域土地利用结构的调整有一定的指导和借鉴意义。该理论在区域土地利用结构分析中的应用研究有待进一步深入。

ANALYSIS ON INFORMATION ENTROPY OF LAND USE STRUCTURE IN CHANGDU AREA OF TIBET

Land use system is a complicated and macro system with dissipative structure.To study the change of land use structure,we need to know the degree of area development and the behavior of humankind,and this kind of research is the major research area in studying structures of regional development.Shannon information entropy theory is one of the measurements to study the degree of regional land use system.This paper was then based on Shannon information entropy theory to study the land use structure during the period from 1992 to 2004 in east region of Tibet,China.The order degree of land use system was applied to indicate the information entropy values.It was revealed that the information entropy of research area in 2004 was higher than in 1992,though the change was very little.Compared with the information entropy of land use structure in the country and the west area of Tibet as a whole,the entropy was lower in east area of Tibet,with the order being rather higher.The factors influencing the information entropy variation were mostly related with the changes in land use structure and in regional policies;economical development and population growth also influenced the variation.The information entropy values are of guiding significance in the regulation of land use structure in a region as they can reflect the dynamics and transformation degree of land use types in a region in a certain period.Shannon information entropy theory will also be useful to analyze the characteristics of land use system in regional scale and to evaluate,adjust and optimize the regional land use mode.