青岛市土地利用变化类型与影响因子关系的CCA研究  

Analysis on Relationship between Land Use Conversion Types and Influencing Factors of Qingdao City Based on CCA

作　　者：邢容容[1] 马安青[2] 刘修锦[1] 于欣鑫 张小伟[2] 马冰然[2] 

机构地区：[1]河北省地矿局秦皇岛矿产水文工程地质大队,河北秦皇岛066001 [2]中国海洋大学环境科学与工程学院,山东青岛266100

出　　处：《安徽农业科学》2015年第15期298-301,304,共5页Journal of Anhui Agricultural Sciences

基　　金：我国近海海洋综合调查与评价专项课题(908-01-WY02)

摘　　要：以青岛市为研究区,利用1990、2000、2006和2011年遥感数据、社会经济统计数据等,采用多变量分析方法定量分析了近20年青岛市土地利用变化的驱动因子。首先对1990和2011年土地利用变化数据进行叠加分析,提取出主要土地利用类型发生变化的斑块,构建土地利用变化样本数据矩阵;然后提取变化图斑对应驱动因子的栅格数据,构建土地利用变化的驱动因子矩阵;在此基础上,采用典范对应分析(CCA)研究土地利用转换类型与驱动因子的相关关系,揭示了青岛市土地利用变化的特征,定量阐释了各类型土地变化的驱动因子。结果表明,海拔高度、地形起伏度、距海岸线的距离、人口密度是青岛市土地利用变化的主要驱动因子,其次为到城镇的距离、交通密度和GDP密度。Land use/cover change（LUCC） is as a complex consequence of coupling effects of natural and anthropogenic factors.Clarifying the main driving factors of LUCC is crucial for future land resources management.Based on Landsat TM images and socio-economic statistics in Qingdao City,the relationships between LUCC and driving factors were analyzed using multivariate analysis.Vector data of land use of Qingdao City in1990 and 2011 were overlaid each other,the region of land use change were obtained and the matrix of land use change samples was constructed.The data of land use change and the data of driving factors were overlaid respectively,and the matrix of driving factors of land use change was constructed.Canonical correspondence analysis（CCA） was used for revealing the relationship between land use change and driving factors.The characteristics of land use change were revealed.The driving factors of various types of land use changes were quantitatively described.Elevation,relief amplitude,the distance between land use change site and coastal line and population density were the main driving factors for distribution of major land use conversion types.The next were the distance between land use change site and urban site,road network density and GDP.

关 键 词：土地利用/覆被变化(LUCC) 驱动因子 CCA排序 青岛市 

分 类 号：S29[农业科学—农业水土工程] F301.2[农业科学—农业工程]