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Phylogeny contributes more than site characteristics and traits to the spatial distribution pattern of tropical tree populations
Authors:Valéria Forni Martins  Guilherme Dubal dos Santos Seger  Thorsten Wiegand  Flavio Antonio Maës dos Santos
Institution:1. Dept of Natural Sciences, Maths and Education, Centre for Agrarian Sciences, Federal Univ. of S?o Carlos – UFSCar campus Araras, Rodovia Anhanguera ‐ SP 330, km 174, Araras, SP, Brazil;2. Dept of Plant Biology, Inst. of Biology, Univ. of Campinas – UNICAMP, Campinas, SP, Brazil;3. Graduate program in Ecology, Federal Univ. of Rio Grande do Sul – UFRGS, Porto Alegre, RS, Brazil;4. Helmholtz Centre for Environmental Research – UFZ, Dept of Ecological Modelling, Leipzig, Germany;5. German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig, Leipzig, Germany
Abstract:Dispersal mechanism, species height, sexual system, and wood density are potential drivers of the spatial distribution pattern of tropical tree populations. These traits are usually conserved among closely related species, thus populations of these species should have more similar spatial distribution patterns than populations of phylogenetically distant species. Additionally, variation in the abiotic and biotic environment might result in distinct spatial distribution patterns of local populations of the same species. We employed variation partitioning to determine the degree to which traits, shared evolutionary history, site characteristics, and their joint effects govern the degree of overdispersion or aggregation of tree populations at different spatial scales within fourteen 1‐ha plots of the Atlantic Rainforest in southeastern Brazil. We quantified the degree of overdispersion or aggregation with a new standardized index err(r) based on standardized effect sizes of the pair correlation function. Variation in err(r) was mostly explained by phylogenetic relationships among species (70–95%, depending on spatial scale), indicating that traits not included in our analysis are important drivers of the spatial distribution pattern. Site characteristics explained a smaller part of the variation, indicating context‐dependence. Finally, the traits studied here provided the smallest explanation of the variation, suggesting a minor role of seed dispersal. Residual variation in err(r) ranged from 5–29%, indicating that stochasticity and/or variables not included in the models (e.g. direct measures of post‐dispersal processes) also influence the spatial distribution pattern of the populations. Our results suggest that many ecological processes act in concert at the study site and that their importance changes with spatial scale. Additionally, the relative importance of these processes differs from that previously described for other tropical forests. Determining why a given ecological process is more important in some tropical tree communities than in others are promising venues for further research.
Keywords:Atlantic Rainforest  coexistence mechanism  context-dependence  pair correlation function  spatial structure
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