| Full text | |
| Author(s): |
Martins, Valeria Forni
[1, 2]
;
dos Santos Seger, Guilherme Dubal
[3]
;
Wiegand, Thorsten
[4, 5]
;
Maes dos Santos, Flavio Antonio
[1]
Total Authors: 4
|
| Affiliation: | [1] Univ Estadual Campinas, UNICAMP, Inst Biol, Dept Plant Biol, Campinas, SP - Brazil
[2] Univ Fed Sao Carlos, Ctr Agr Sci, Dept Nat Sci Maths & Educ, UFSCar Campus Araras, Rodovia Anhanguera, SP 330, BR-13600970 Araras, SP - Brazil
[3] Univ Fed Rio Grande do Sul, Grad Program Ecol, UFRGS, Porto Alegre, RS - Brazil
[4] German Ctr Integrat Biodivers Res iDiv, Leipzig - Germany
[5] Helmholtz Ctr Environm Res, UFZ, Dept Ecol Modelling, Leipzig - Germany
Total Affiliations: 5
|
| Document type: | Journal article |
| Source: | OIKOS; v. 127, n. 9, p. 1368-1379, SEP 2018. |
| Web of Science Citations: | 1 |
| 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. (AU) | |
| FAPESP's process: | 12/02012-3 - Determination of factors that influence the spatial structure of trees in the Brazilian Atlantic Rainforest using the O-ring statistics |
| Grantee: | Valéria Forni Martins |
| Support Opportunities: | Scholarships abroad - Research Internship - Post-doctor |
| FAPESP's process: | 11/00832-0 - Influence of density and location of seed sources, dispersal and post-dispersal processes in the spatial pattern of Atlantic Rainforest trees at the northern coast of São Paulo State |
| Grantee: | Valéria Forni Martins |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |