Topography related spatial distribution of dominant tree species in a tropical seasonal rain forest in China
文献类型： 外文期刊
作者： Lan, Guoyu 1 ; Hu, Yuehua 1 ; Cao, Min 1 ; Zhu, Hua 1 ;
作者机构： 1.Chinese Acad Sci, Xishuangbanna Trop Bot Garden, Key Lab Trop Forest Ecol, Kunming 650223, Peoples R China
2.Minist Agr, Danzhou Key Field Stn Observat & Res Trop Agr Res, Danzhou City 571737, Hainan Province, Peoples R China
3.Chinese Acad Trop Agr Sci, Rubber Res Inst, Danzhou City 571737, Hainan Province, Peoples R China
关键词： Canonical correspondence analysis (CCA);Principal coordinates of neighbour matrices (PCNM);Spatial distribution pattern;Variation partitioning
期刊名称：FOREST ECOLOGY AND MANAGEMENT （ 影响因子：3.558； 五年影响因子：4.039 ）
ISSN： 0378-1127
年卷期： 2011 年 262 卷 8 期
页码：
收录情况： SCI
摘要： The degree to which variation in species distribution is predictable from topographic variation is of considerable current interest. In this paper, canonical correspondence analysis (CCA), linear regression and principal coordinates of neighbour matrices (PCNM) models were used to explain the variation in the distributions of the 13 dominant species in a 20-ha tropical rain-forest plot in China. The results showed that: (1) Tree distribution maps show that some species are mainly found in the gullies of the plot, whereas others occur on the slopes. Which indicates topographic variables are important factors for the distribution pattern of species. (2) Both linear regression and CCA results show that convexity and elevation are the most important variables effecting distribution of trees. For saplings, elevation, convexity and aspect explain 15.3%, 9.0% and 10.1% of the total variation of species abundance. For poles, elevation and convexity explain 19.3% and 11.4% respectively. However, only 5.3% of the total variation is explained for adults. (3) The PCNM results showed that topography alone explained 20%, 24% and 5% of the total variation of species abundance for saplings, poles and adults, respectively. Overall evidence for topographic control of the tropical tree distribution is strong, but the explanatory power of topographic variables was a small part of the total of variation. (C) 2011 Elsevier B.V. All rights reserved.
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