首页 | 本学科首页   官方微博 | 高级检索  
     检索      

别拉洪河流域湿地变化的多尺度空间自相关分析
引用本文:刘吉平,吕宪国,崔炜炜.别拉洪河流域湿地变化的多尺度空间自相关分析[J].水科学进展,2010,21(3):392-398.
作者姓名:刘吉平  吕宪国  崔炜炜
作者单位:1.吉林师范大学旅游与地理科学学院, 吉林, 四平, 136000;
基金项目:国家自然科摹基金重点资助项目,吉林师范大学科研创新团队资助项目 
摘    要:利用空间自相关模型,结合GIS技术,对别拉洪河流域不同尺度上湿地空间自相关的动态变化进行了研究。结果表明,自20世纪50年代至2000年,别拉洪河流域湿地面积逐渐减少,湿地全局空间自相关呈先增加后减小再增加的"N"字型趋势;别拉洪河流域湿地高-高自相关类型有逐渐减少并向流域下游扩张的趋势,而低-低自相关类型有逐渐增加并向流域上游扩张的趋势;湿地空间自相关表现出明显的尺度效应,随着研究尺度的增大湿地空间自相关性逐渐增强;别拉洪河流域湿地空间自相关的动态变化主要是由人类对湿地的开发造成的。

关 键 词:空间自相关    湿地    空间异质性    GIS    别拉洪河流域
收稿时间:2009-06-27

Spatial autocorrelation analysis of multi-scale changes in Bielahong River basin wetlands
LIU Ji-ping,LU Xian-guo,CUI Wei-wei.Spatial autocorrelation analysis of multi-scale changes in Bielahong River basin wetlands[J].Advances in Water Science,2010,21(3):392-398.
Authors:LIU Ji-ping  LU Xian-guo  CUI Wei-wei
Institution:1.College of Tourist and Geoscience, Jilin Normal University, Siping 136000, China;2.Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Science, Changchun 130012, China
Abstract:The multi-scale dynamic change in the Bielahong River basin wetland of the Sanjiang Plain is studied using a spatial autocorrelation model and the geographic information system (GIS) technology.Results show that the wetland area was gradually decreasing and the spatial auto correlation of the entire wetland area exhibited an up-downup pattern during the period 1950s-2000.A downward trend is detected in the high-high autocorre lation type, which tends to spread toward the lower reach of the Bielahong River basin.The opposite result is obtained for the lowlow autocorrelation type.The wetland spatial autocorrelation exhibits an appreciable scale effect, as the spatial autocorrelation increases with the increase of smiulation scales.The result indicates that the dynamic change of wetland spatial autocorrelation is mainly caused by human activities.The spatial autocorrelation analysis of wetland changes can reveal the regularity of the wetland spatial cluster as well as the dynamic changes of the wetland spatial correlation pattern, which could be one of the effective approaches to study ing the spatial heterogeneity of wetlands.This study provides a scientific basis for wetland classification and decision-making management.
Keywords:GIS
本文献已被 万方数据 等数据库收录!
点击此处可从《水科学进展》浏览原始摘要信息
点击此处可从《水科学进展》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号