基于流域的山区景观格局分析和分区研究-中国生态农业学报.DOC

基于流域的山区景观格局分析和分区研究( 曹瑞娜1 齐伟1(( 李乐2 蒋文惠1 曹向生3 （1.山东农业大学资源与环境学院 山东 泰安271018；2. 东营市国土资源局 山东 东营257091；3.山东农业大学信息科学与工程学院 山东 泰安271018） 摘 要以位于胶东半岛中部山区的栖霞市为例，在对整个研究区进行流域提取的基础上，分别统计各流域内的景观指数，并通过聚类分析对整个栖霞市的山区景观进行分区。首先解译2010年TM数据获栖霞市景观格局图以12.5万地形图为基础数据源，建立DEM，利用ArcGIS水文分析模块划分为300流域。然后根据反映的景观特征信息和研究区内的景观结构，选择边缘密度（ED）、多样性指数（SDI）、斑块大小变异系数（PSCOV）、面积加权平均分维数（AWMPFD）和核心区密度（CAD）五个景观指数，并结合各流域的平均高程与空间分布对每一个流域进行景观格局分析。最后这个指数进行，利用流域主体景观类型栖霞市景观分区，分区结果能够较好的反映研究区景观生态结构的显著特征与空间分异状况，以期为栖霞市的土地管理和规划提供一定的指导意义。 关键词Research of Landscape pattern and division in Mountain Area Based on Watershed CAO Rui-na1, QI Wei1, LI Le2, JIANG Wen-hui1, CAO Xiang-sheng3 (1.College of Resource and Environment, Shandong Agriculture University, Taian 271018, Shandong, China; 2.Dongying Bureau of Land and Resources, Dongying 257091, Shandong, China; 3. College of Information Science and Engineering, Shandong Agriculture University, Taian 271018, Shandong, China) Abstract This paper selected Qixia County (located in the center of Jiaodong Peninsula), a typical mountainous area, as a case to perform landscape pattern division, according to the results of cluster analysis of landscape indices in catchments, which was generated on the basis of digital elevation model (DEM). Firstly, Landsat TM image (2010) covering whole study area was interpreted and geo-referenced to generate landscape pattern of Qixia County, and corresponding relief map (1: 25000) was vectorized to build DEM model. Then 300 catchments were divided, on the support of hydrology extension in ArcGIS software. Taking into account the traits of common landscape indices and local ground truth, five indices were selected: Edge Density (ED), Shannons Diversity Index (SDI), Patch Size Coefficient of Variance (PSCOV), Area Weighted Mean Patch Fractal Dimension (AWMPFD) and Core Area Density (CAD). Based on average height and space distribution landscape pattern of each catchment was analyzed. Human active and natural disturbance effect on regional landscape ecol