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《ACTA ECOLOGICA SINICA》 2000-03
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Landscape structure study of Longhua Area in Shenzhen City during the fast urbanization processStructure and heterogeneity analysis of forest land

ZENG Hui 1,JIANG Chuan Ming 2 (Department of Urban and Environmental Sciences,Peking University,Beijing 100871,China;Department of Biology,Hetlongjiang Normal College of Agricultural Cultivation,Acheng 150302,China)  
Remotely sensed mapping data and methods of landscape structure analysis were used to study the structure and dynamics of forest patches during the fast urbanization process of Longhua Area,Shenzhen City.The key points of the study are the changes of the ordinary structure features and spatial distribution of the forest from 1988 to 1996.Results indicated that during the study period,the fast urbanization process have made strong cutting and transforming impacts on forest,the total area losing approached 49%,landscape structure characteristics such as fragmentation and neighborhood indices changed significantly.The changing process of forest patches can be divided into two stages.In the first stage from 1988 to 1992,some big forest patches were cut to small ones,and made the patch amount increase to the peak value in 1992.The second stage was from 1992 to 1996,since a lot of small forest patches were used for the expanding of town area,the former continuously distributed forests have been divided into several isolated patches.Three types of distribution pattern were identified in this study.In 1988,forest spatial distribution in the study area showed macroscopic heterogeneity with low lacunarity value;but because of patch fragmentation,it looked like a little bit random distribution in 1992;and in 1996,the distribution became macroscopic heterogeneity again with higher lacunarity value than 1988.Advantages of information entropy and lacunarity index methods can be good supplement for each other,so using both of them simultaneously can make us acquire more detailed information of landscape heterogeneity.
【Fund】: 国家自然科学基金资助项目!( 49871 0 70 )
【CateGory Index】: Q149
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