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Habitat differentiation of Lauraceae species in a tropical lower montane forest in northern Thailand

机译：泰国北部热带低山地森林中月桂科物种的栖息地分化

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Dependency on topographical habitat was examined for Lauraceae tree species in a lower montane forest using a large-scale research plot established at Doi Inthanon National Park, northern Thailand. Twenty species of 10 genera of Lauraceae were recorded in a 7.5-ha part of the plot; Lauraceae accounted for 18% of the total basal area. Lauraceae was the most species-rich and most abundant family in the plot. In a cluster analysis based on the matrix of spatial associations between species, two clusters were recognized. Members of one cluster seemed to associate with lower-elevation habitats, and members of the other associated with habitats on ridges. By subdividing the study plot into 20 m X 20 m squares, a discriminant analysis could be applied to the presence―absence data for the 17 species that had sufficient population density. The predictor variables used were the relative elevation, slope inclination, slope direction (transformed to deviation from SSW) and slope convexity for each of the squares. The discriminant models were tested statistically by applying the random shift technique. The models were significant for 11 of the species (65% of the species examined) and were associated with the topographical condition of the habitat. Stepwise selection of the predictor variables for these 11 species revealed that relative elevation and slope convexity were the most important factors for predicting the presence or absence of the Lauraceae species. Both these variables were considered to indicate the hydrological condition of the habitat.
机译：在泰国北部的茵他侬国家公园建立了一个大规模研究区，研究了山地下部森林中月桂科树种对地形栖息地的依赖性。在该土地的7.5公顷中记录了月桂科10属的20种。月桂科占基础面积的18％。月桂科是该地区物种最丰富，最丰富的科。在基于物种之间空间关联矩阵的聚类分析中，识别出两个聚类。一个集群的成员似乎与海拔较低的栖息地相关，而另一个集群的成员与山脊上的栖息地相关。通过将研究地块细分为20 m X 20 m正方形，可以对存在-缺乏足够种群密度的17个物种的存在数据进行判别分析。使用的预测变量是每个正方形的相对高程，坡度，坡度方向（转换为与SSW的偏差）和坡度凸度。通过应用随机移位技术对判别模型进行统计检验。该模型对11个物种（所调查物种的65％）具有重要意义，并且与栖息地的地形条件相关。逐步选择这11个物种的预测变量表明，相对海拔和坡度凸度是预测月桂科物种存在与否的最重要因素。这两个变量都被认为指示了栖息地的水文状况。

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