%0 Journal Article
%T Landscape spatial autocorrelation analysis of TM remote sensing data:A case study of Changping District, Beijing, China<br>基于TM影像的景观空间自相关分析——以北京昌平区为例(英文)
%A ZHANG Feng
%A <br>张峰
%J 生态学报
%D 2004
%I 
%X A strong motivation for developing landscape ecology is to deal with the relationship between spatial pattern and scales. The patterns of landscape development in time and space result from complex interactions of physical biological and social forces. Numerous studies have shown that the spatial pattern of landscape may have significant influences on ecological processes, such as population dynamics, biogeochemical cycling, and biodiversity. Thus, identifying and characterizing spatial pattern across a range of scales using various quantitative methods in order to appropriately understand the interaction of spatial pattern and ecological process are often necessary in landscape ecological studies. This study, therefore, conduct a series of spatial autocorrelation analyses mainly based on NDVI (Normalized Difference Vegetation Index) for five landscapes with contrasting natural and socioeconomic settings in Changping District, Beijing, to demonstrate: how does changing grain size affect the results of spatial analysis? How do the results of spatial analysis differ in changing zoning alternatives? In addition, we also investigate how do such scale-dependent changes vary with different types of landscape data, based on NDVI and DEM (Digital Elevation Model). Results show that changing grain size have significant effects on the values of landscape analysis,and spatial autocorrelation decline with increasing grain. Different landscapes have different sensitivity response to grain size. Landscapes with stronger human disturbance have lower spatial autocorrelation, and more sensitivity to changing grain size. Landscapes with more disturbances by human, almost have no zoning effect. The effect of changing scale varies in their magnitude and rate of change when different types of landscape data are used.
%K spatial autocorrelation analysis
%K grain
%K zoning systems
%K landscape ecology<br>空间自相关分析
%K 粒度
%K 划区效应
%K 景观生态学
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=FE163E5DB2274E5937319DE98913EC37&aid=2A4401320389A6F2&yid=D0E58B75BFD8E51C&vid=B91E8C6D6FE990DB&iid=59906B3B2830C2C5&sid=720E49F6DB248E5D&eid=174E664553129467&journal_id=1000-0933&journal_name=生态学报&referenced_num=0&reference_num=16