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Spatial Effects Shape Tree Species DistributionsFigure 6. Cell connectivity at each of the four scales of cell sizefor Sloanea tomentosa in DBH class 4.doi:10.1371/journal.pone.0038247.g006community levels. The community processes, especially distancelimiteddispersal process, may be the crucial mechanism underlyingclumped patterns of species distributions. We suggest grouping treesinto different DBH classes and analyzing their distributions atmultiple spatial scales to enhance the applicability of the results. Toachieve a broader understanding of the applicability of lattice countdata and basal area data in examining species spatial distributions atboth the individual species and community levels, further investigationsbased on large-scale plot data must be performed at additionaltropical, subtropical and temperate forest sites.Supporting InformationFigure S1 Patterns of median R-squared values from thefitted SAR models based on count data and basal areadata at four scales of cell size, controlling for DBH class.Circles and triangles connected by solid and dashed lines representcount data and basal area data, respectively. Bars indicatestandard deviations. Classes 0 to 4 are defined as in Figure 1.(TIF)Figure S2 Patterns of median R-squared values fromthe fitted SAR models based on count data and basalarea data for five DBH classes, controlling for scale.Circles and triangles connected by solid and dashed lines representcount data and basal area data, respectively. Classes 0 to 4 aredefined as in Figure 1.(TIF)Figure S3 Relationships between the R-squared valuesof the fitted SAR models and species total abundance foreach of the 5 DBH classes at the 10-m scale. Circles andtriangles represent count data and basal area data, respectively.Classes 0 to 4 are defined as in Figure 1.(TIF)Figure S4 Relationships between the R-squared valuesof the fitted SAR models and species total abundance foreach of the 5 DBH classes at the 25-m scale. Circles andtriangles represent count data and basal area data, respectively.Classes 0 to 4 are defined as in Figure 1.(TIF)Figure S5 Relationships between the R-squared valuesof the fitted SAR models and species total abundance foreach of the 5 DBH classes at the 50-m scale. Circles andtriangles represent count data and basal area data, respectively.Classes 0 to 4 are defined as in Figure 1.(TIF)Figure S6 Principal component analysis ordinations(based on matrices of transformed p-values from the SARmodels) of the 14 explanatory variables and the spatialautoregressive factor l for each of the 5 DBH classes at the10-m scale of the count data. Classes 0 to 4 are defined as inFigure 1. The abbreviations are defined as in Figure 3.(TIF)Figure S7 Principal component analysis ordinations(based on matrices of transformed p-values from the SARmodels) of the 14 explanatory variables and the spatialautoregressive factor l for each of the 5 DBH classes at the25-m scale of the count data. Classes 0 to 4 are defined as inFigure 1. The abbreviations are defined as in Figure 3.(TIF)Figure S8 Principal component analysis ordinations(based on matrices of transformed p-values from theSAR models) of the 14 explanatory variables and thespatial autoregressive factor l for each of the 5 DBHclasses at the 50-m scale of the count data. Classes 0 to 4are defined as in Figure 1. The abbreviations are defined as inFigure 3.(TIF)Figure S9 Principal component analysis ordinations(based on matrices of transformed p-values from the SARmodels) of the 14 explanatory variables and the spatialautoregressive factor l for each of the 5 DBH classes at the10-m scale of the basal area data. Classes 0 to 4 are defined asin Figure 1. The abbreviations are defined as in Figure 3.(TIF)Figure S10 Principal component analysis ordinations(based on matrices of transformed p-values from the SARmodels) of the 14 explanatory variables and the spatialautoregressive factor l for each of the 5 DBH classes at the25-m scale of the basal area data. Classes 0 to 4 are defined asin Figure 1. The abbreviations are defined as in Figure 3.(TIF)Figure S11 Principal component analysis ordinations(based on matrices of transformed p-values from the SARmodels) of the 14 explanatory variables and the spatialautoregressive factor l for each of the 5 DBH classes at the50-m scale of the basal area data. Classes 0 to 4 are defined asin Figure 1. The abbreviations are defined as in Figure 3.(TIF)PLoS ONE | www.plosone.org 8 May 2012 | Volume 7 | Issue 5 | e38247393