作者: Guoyu Lan , Yuehua Hu , Min Cao , Hua Zhu
DOI: 10.1016/J.FORECO.2011.06.052
关键词: Ecology 、 Linear regression 、 Physical geography 、 Canonical correspondence analysis 、 Rainforest 、 Species distribution 、 Spatial distribution 、 Biology 、 Elevation 、 Relative species abundance 、 Convexity
摘要: The degree to which variation in species distribution is predictable from topographic of considerable current interest. In this paper, canonical correspondence analysis (CCA), linear regression and principal coordinates neighbour matrices (PCNM) models were used explain the distributions 13 dominant a 20-ha tropical rain-forest plot China. results showed that: (1) Tree maps show that some are mainly found gullies plot, whereas others occur on slopes. Which indicates variables important factors for pattern species. (2) Both CCA convexity elevation most effecting trees. For saplings, elevation, aspect 15.3%, 9.0% 10.1% total abundance. poles, 19.3% 11.4% respectively. However, only 5.3% explained adults. (3) PCNM topography alone 20%, 24% 5% abundance poles adults, Overall evidence control tree strong, but explanatory power was small part variation.