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岷江上游景观边界效应影响因子分析
引用本文:问青春,李秀珍,贺红士,陈欣,仇伟光,张丽华,李丽光,李月辉.岷江上游景观边界效应影响因子分析[J].中山大学学报(自然科学版),2009,48(6).
作者姓名:问青春  李秀珍  贺红士  陈欣  仇伟光  张丽华  李丽光  李月辉
作者单位:1. 中国科学院沈阳应用生态研究所,辽宁,沈阳,110016;辽宁省环境监测中心站,辽宁,沈阳,110031
2. 中国科学院沈阳应用生态研究所,辽宁,沈阳,110016
3. 中国科学院沈阳应用生态研究所,辽宁,沈阳,110016;美国密苏里大学,哥伦比亚,65211
4. 辽宁省环境监测中心站,辽宁,沈阳,110031
5. 中国气象局大气环境研究所,辽宁,沈阳,110015
基金项目:国家重点基础研究发展规划资助项目  
摘    要: 边界效应受多种因子影响,在不同时空尺度下表现出不同的边界效应深度。目前关于边界效应深度影响因子的研究只有少量定性报道,缺少定量分析。以岷江上游林农边界为例,分析了生物量边界效应深度的影响因子。应用GIS软件,将边界类型图与数字高程图、土地利用图、降雨数据的叠加,获取边界所处海拔、坡度、坡向、降雨以及边界两侧斑块面积。在SPSS软件中对已获得的边界效应深度与以上诸因子进行多元线性回归分析。研究结果表明:林农边界效应深度与海拔和坡度存在显著线性回归关系,呈负相关,即海拔越低、坡度越小边界效应深度越大;坡向对边界效应深度影响较小,降雨和林块面积对边界效应深度影响不明显。

关 键 词:岷江  边界效应深度  影响因子  多元线性回归
收稿时间:2008-11-26;

Analysis of Edge Influence's Affecting Factors in Min River upper Reaches Landscape
WEN Qingchun,LI Xiuzhen,HE Hongshi,CHEN Xin,QIU Weiguang,ZHANG Lihua,LI Liguang,LI Yuehui.Analysis of Edge Influence's Affecting Factors in Min River upper Reaches Landscape[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2009,48(6).
Authors:WEN Qingchun  LI Xiuzhen  HE Hongshi  CHEN Xin  QIU Weiguang  ZHANG Lihua  LI Liguang  LI Yuehui
Institution:(1.Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016,China; 2.Liaoning Environmental Monitoring Center, Shenyang 110031, China; 3.University of Missouri Columbia, Columbia 65211, USA; 4.Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110016, China)
Abstract:A variety of factors affect edge influence, edge influence depths vary in different time and space scales. At present, only small amount of qualitative researches on edge influence depth's affecting factors were reported, furthermore quantitative analysis researches lack, thus more researches, especially quantitative researches, are needed. This paper analyzed affecting factors of biomass edge influence depth using data of the upper reaches of Min River forest and farmland boundaries. Using GIS software, we o-verlap boundary type map, digital elevation map, land-use map and rainfall data map to get elevations, slopes, aspects and precipitations of the edges and patch areas on both sides of the edges, which are further processed with DEI using multiple linear regression analysis method in SPSS. The results show that edge influence depth between forest and farmland is affected by elevation and slope evidently and there is negative correlation between them. When elevation and slope of the boundary is less, the DEI is broader. Aspect impacts DEI less obviously, while precipitation and patch area have no evident impacts on DEI.
Keywords:Min River  depth of edge influence  affecting factor  multivariate linear regression
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