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Co‐occurrence patterns in a diverse arboreal ant community are explained more by competition than habitat requirements
A major goal of community ecology is to identify the patterns of species associations and the processes that shape them. Arboreal ants are extremely diverse and abundant, making them an interesting and valuable group for tackling this issue. Numerous studies have used observational data of species c...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5192950/ https://www.ncbi.nlm.nih.gov/pubmed/28035279 http://dx.doi.org/10.1002/ece3.2606 |
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author | Camarota, Flávio Powell, Scott S. Melo, Adriano Priest, Galen J. Marquis, Robert L. Vasconcelos, Heraldo |
author_facet | Camarota, Flávio Powell, Scott S. Melo, Adriano Priest, Galen J. Marquis, Robert L. Vasconcelos, Heraldo |
author_sort | Camarota, Flávio |
collection | PubMed |
description | A major goal of community ecology is to identify the patterns of species associations and the processes that shape them. Arboreal ants are extremely diverse and abundant, making them an interesting and valuable group for tackling this issue. Numerous studies have used observational data of species co‐occurrence patterns to infer underlying assembly processes, but the complexity of these communities has resulted in few solid conclusions. This study takes advantage of an observational dataset that is unusually well‐structured with respect to habitat attributes (tree species, tree sizes, and vegetation structure), to disentangle different factors influencing community organization. In particular, this study assesses the potential role of interspecific competition and habitat selection on the distribution patterns of an arboreal ant community by incorporating habitat attributes into the co‐occurrence analyses. These findings are then contrasted against species traits, to explore functional explanations for the identified community patterns. We ran a suite of null models, first accounting only for the species incidence in the community and later incorporating habitat attributes in the null models. We performed analyses with all the species in the community and then with only the most common species using both a matrix‐level approach and a pairwise‐level approach. The co‐occurrence patterns did not differ from randomness in the matrix‐level approach accounting for all ant species in the community. However, a segregated pattern was detected for the most common ant species. Moreover, with the pairwise approach, we found a significant number of negative and positive pairs of species associations. Most of the segregated associations appear to be explained by competitive interactions between species, not habitat affiliations. This was supported by comparisons of species traits for significantly associated pairs. These results suggest that competition is the most important influence on the distribution patterns of arboreal ants within the focal community. Habitat attributes, in contrast, showed no significant influence on the matrix‐wide results and affected only a few associations. In addition, the segregated pairs shared more biological characteristic in common than the aggregated and random ones. |
format | Online Article Text |
id | pubmed-5192950 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-51929502016-12-29 Co‐occurrence patterns in a diverse arboreal ant community are explained more by competition than habitat requirements Camarota, Flávio Powell, Scott S. Melo, Adriano Priest, Galen J. Marquis, Robert L. Vasconcelos, Heraldo Ecol Evol Original Research A major goal of community ecology is to identify the patterns of species associations and the processes that shape them. Arboreal ants are extremely diverse and abundant, making them an interesting and valuable group for tackling this issue. Numerous studies have used observational data of species co‐occurrence patterns to infer underlying assembly processes, but the complexity of these communities has resulted in few solid conclusions. This study takes advantage of an observational dataset that is unusually well‐structured with respect to habitat attributes (tree species, tree sizes, and vegetation structure), to disentangle different factors influencing community organization. In particular, this study assesses the potential role of interspecific competition and habitat selection on the distribution patterns of an arboreal ant community by incorporating habitat attributes into the co‐occurrence analyses. These findings are then contrasted against species traits, to explore functional explanations for the identified community patterns. We ran a suite of null models, first accounting only for the species incidence in the community and later incorporating habitat attributes in the null models. We performed analyses with all the species in the community and then with only the most common species using both a matrix‐level approach and a pairwise‐level approach. The co‐occurrence patterns did not differ from randomness in the matrix‐level approach accounting for all ant species in the community. However, a segregated pattern was detected for the most common ant species. Moreover, with the pairwise approach, we found a significant number of negative and positive pairs of species associations. Most of the segregated associations appear to be explained by competitive interactions between species, not habitat affiliations. This was supported by comparisons of species traits for significantly associated pairs. These results suggest that competition is the most important influence on the distribution patterns of arboreal ants within the focal community. Habitat attributes, in contrast, showed no significant influence on the matrix‐wide results and affected only a few associations. In addition, the segregated pairs shared more biological characteristic in common than the aggregated and random ones. John Wiley and Sons Inc. 2016-11-23 /pmc/articles/PMC5192950/ /pubmed/28035279 http://dx.doi.org/10.1002/ece3.2606 Text en © 2016 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Camarota, Flávio Powell, Scott S. Melo, Adriano Priest, Galen J. Marquis, Robert L. Vasconcelos, Heraldo Co‐occurrence patterns in a diverse arboreal ant community are explained more by competition than habitat requirements |
title | Co‐occurrence patterns in a diverse arboreal ant community are explained more by competition than habitat requirements |
title_full | Co‐occurrence patterns in a diverse arboreal ant community are explained more by competition than habitat requirements |
title_fullStr | Co‐occurrence patterns in a diverse arboreal ant community are explained more by competition than habitat requirements |
title_full_unstemmed | Co‐occurrence patterns in a diverse arboreal ant community are explained more by competition than habitat requirements |
title_short | Co‐occurrence patterns in a diverse arboreal ant community are explained more by competition than habitat requirements |
title_sort | co‐occurrence patterns in a diverse arboreal ant community are explained more by competition than habitat requirements |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5192950/ https://www.ncbi.nlm.nih.gov/pubmed/28035279 http://dx.doi.org/10.1002/ece3.2606 |
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