| 基于空间连续数据的小流域景观格局破碎化研究 |
| |
| 引用本文： | 路云阁,蔡运龙.基于空间连续数据的小流域景观格局破碎化研究[J].国土资源遥感,2007,18(2):60-64. |
| |
| 作者姓名： | 路云阁 蔡运龙 |
| |
| 作者单位： | 1. 中国国土资源航空物探遥感中心,北京,100083
2. 北京大学资源环境地理学系,北京,100087 |
| |
| 摘 要： | 基于空间连续数据，采用局部空间关联指标（LISA）——局部Moran指数（Local Moran Index, LMI），通过探测小流域内景观均质性和异质性的变化情况来反映景观格局破碎化的变化过程。作为一种空间明确的景观格局研究方法，LMI能够发现流域景观格局变化过程中的热点地区，并分析其与流域土地利用变化之间的联系，明确了土地利用变化是引起小流域景观格局变化的最主要的驱动因素。研究表明，基于空间连续数据的局部空间关联指标方法可以作为传统景观格局变化研究方法的有益补充。
|
| 关 键 词： | 景观格局 破碎化 土地利用变化 空间自相关 |
| 文章编号： | 1001-070X（2007）02-0060-05 |
| 收稿时间： | 2007-03-06 |
| 修稿时间： | 2007-03-062007-03-24 |
A STUDY OF LANDSCAPE PATTERN FRAGMENTATION
IN WATERSHED BASED ON SPATIAL CONTINUOUS DATASETS |
| |
| LU Yun-ge,CAI Yun-long.A STUDY OF LANDSCAPE PATTERN FRAGMENTATION
IN WATERSHED BASED ON SPATIAL CONTINUOUS DATASETS[J].Remote Sensing for Land & Resources,2007,18(2):60-64. |
| |
| Authors: | LU Yun-ge CAI Yun-long |
| |
| Institution: | 1.China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China; 2.Department of Resources & Environment & Geography, Peking University, Beijing 100871, China |
| |
| Abstract: | Based on spatial continuous datasets (NDVI) and local indicators of spatial association (LISA)——local Moran’s I (LMI), this paper deals with the process of landscape pattern fragmentation in a small watershed by detecting the change of local spatial autocorrelation of landscape features. As a spatial explicit indicator evaluating the landscape heterogeneity, LMI can detect the hot spots during the landscape fragmentation process. The relationship between the landscape pattern change and the land use / land cover change in the past 30 years is also studied, and the results show that the hot spots of landscape fragmentation are located in downstream areas where land use changes are very dramatic. The researches performed by the authors show that the land use change in the small watershed is the main driving force resulting in such changes of landscape pattern as landscape fragmentation. Studies show that the local indicators of spatial autocorrelation are helpful to the traditional analysis of landscape pattern. |
| |
| Keywords: | Landscape pattern Fragmentation Landuse change Spatial autocorrelation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《国土资源遥感》浏览原始摘要信息 |
| 点击此处可从《国土资源遥感》下载免费的PDF全文 |
