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地形因子对森林景观格局多尺度效应分析

郭泺1;夏北成1;刘蔚秋2   

  1. 1中山大学环境科学与工程学院, 广州 510275;2中山大学生命科学学院, 广州 510275
  • 收稿日期:2005-11-16 修回日期:2006-04-12 出版日期:2006-08-10 发布日期:2006-08-10

Multi-scale effect of topography on forest landscape pattern in Taishan Mountain.

GUO Luo1;XIA Beicheng1; LIU Wenqiu2   

  1. 1School of Environment Sciences and Engineering, Sun Yat-Sen University, Guangzhou 510275, China; 2School of Life Sciences, Sun YatSen University, Guangzhou 510275, China

  • Received:2005-11-16 Revised:2006-04-12 Online:2006-08-10 Published:2006-08-10

摘要: 以TM影像和野外调查为数据源,3S技术为研究手段,分析了泰山的森林景观结构动态变化以及景观格局沿高程的分异。选择相对高差较大的区域设计了8个地形方位,采用3种由连续样方组成的辐射状样带,在遥感影像上进行信息采集,研究地形对森林景观格局的多尺度效应,分析了不同地形因子对森林景观分异的影响。结果表明, 在景观尺度上,地形方位、海拔、山地类型是影响森林景观镶嵌格局的控制因素,坡向、坡度是重要因素,坡形、坡位是不明显因素。以TM影像为信息源,从森林景观分异和梯度分析上,首先要考虑海拔坡向指数、坡形坡位指数和海拔,并立足于地形方位。地形主要因子间存在着稳定的显著正相关,为森林分异多尺度格局提供了较强的综合解释能力。

关键词: 植物挥发性有机化合物(BVOCs), CO2和O3浓度升高

Abstract: Based on Landsat TM images and field survey data, and by the aids of 3S techniques, this paper studied the dynamic changes of forest landscape pattern in Taishan Mountain, and their relations with altitude variation. Eight topographical factors were adopted to define the topographical characteristics, and three radiant transects consisting of standard sequential sampling plots were applied to collect information on remote sensing images. The multi-scale pattern of forest landscape differentiation and its correlation with topographical parameters were analyzed by multivariate regression and main factor analyses. The results showed that topographical orientation (position), elevation, and mountain land type were the critical factors at landscape level, slope exposure and gradient were important factors, while slope shape and position were not the significant ones. In the analyses of forest landscape differentiation and gradient, the key elements were elevation exposure, slope shape and position, and elevation, with the consideration of topographical position. There were significant positive correlations among the main topographical factors, which could better explain the multi-scale pattern of forest landscape differentiation. The contribution rate was about 70% at any scale, and the explanatory percentage was increased with increasing scale while the explanatory ability was in adverse, which revealed that the effect of topographical factors on forest landscape pattern is prominent, and scale effect remains an important problem to be explored.

Key words: Biogenic volatile organic compounds(BVOCs), Elevated atmospheric CO2, O3