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中文摘要：
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。
英文摘要：
Based on spatial continuous data.sets （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.
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