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When phylogeny and ecology meet: Modeling the occurrence of Trichoptera with environmental and phylogenetic data

Ecological studies are increasingly considering phylogenetic relationships among species. The phylogeny is used as a proxy or filter to improve statistical tests and retain evolutionary elements, such as niche conservation. We used the phylogenetic topology to improve the model for occurrence of Tri...

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Autores principales: Godoy, Bruno Spacek, Camargos, Lucas Marques, Lodi, Sara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6010749/
https://www.ncbi.nlm.nih.gov/pubmed/29938055
http://dx.doi.org/10.1002/ece3.4031
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author Godoy, Bruno Spacek
Camargos, Lucas Marques
Lodi, Sara
author_facet Godoy, Bruno Spacek
Camargos, Lucas Marques
Lodi, Sara
author_sort Godoy, Bruno Spacek
collection PubMed
description Ecological studies are increasingly considering phylogenetic relationships among species. The phylogeny is used as a proxy or filter to improve statistical tests and retain evolutionary elements, such as niche conservation. We used the phylogenetic topology to improve the model for occurrence of Trichoptera genera in Cerrado (Brazilian Savanna) streams. We tested whether parameters generated by logistic models of occurrence, using phylogenetic signals, are better than models generated without phylogenetic information. We used a model with Bayesian updating to examine the influence of stream water pH and phylogenetic relationship among genera on the occurrence of Trichoptera genera. Then, we compared this model with the logistic model for each Trichoptera genus. The probability of occurrence of most genera increased with water pH, and the phylogeny‐based explicit logistic model improved the parameters estimated for observed genera. The inferred relationship between genera occurrence and stream pH improved, indicating that phylogeny adds relevant information when estimating ecological responses of organisms. Water with elevated acidity (low pH values) may be restrictive for the occurrence of Trichoptera larvae, especially if the regional streams exhibit neutral to alkaline water, as is observed in the Cerrado region. Using phylogeny‐based modeling to predict species occurrence is a prominent opportunity to extend our current statistical framework based on environmental conditions, as it enables a more precise estimation of ecological parameters.
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spelling pubmed-60107492018-06-22 When phylogeny and ecology meet: Modeling the occurrence of Trichoptera with environmental and phylogenetic data Godoy, Bruno Spacek Camargos, Lucas Marques Lodi, Sara Ecol Evol Original Research Ecological studies are increasingly considering phylogenetic relationships among species. The phylogeny is used as a proxy or filter to improve statistical tests and retain evolutionary elements, such as niche conservation. We used the phylogenetic topology to improve the model for occurrence of Trichoptera genera in Cerrado (Brazilian Savanna) streams. We tested whether parameters generated by logistic models of occurrence, using phylogenetic signals, are better than models generated without phylogenetic information. We used a model with Bayesian updating to examine the influence of stream water pH and phylogenetic relationship among genera on the occurrence of Trichoptera genera. Then, we compared this model with the logistic model for each Trichoptera genus. The probability of occurrence of most genera increased with water pH, and the phylogeny‐based explicit logistic model improved the parameters estimated for observed genera. The inferred relationship between genera occurrence and stream pH improved, indicating that phylogeny adds relevant information when estimating ecological responses of organisms. Water with elevated acidity (low pH values) may be restrictive for the occurrence of Trichoptera larvae, especially if the regional streams exhibit neutral to alkaline water, as is observed in the Cerrado region. Using phylogeny‐based modeling to predict species occurrence is a prominent opportunity to extend our current statistical framework based on environmental conditions, as it enables a more precise estimation of ecological parameters. John Wiley and Sons Inc. 2018-05-08 /pmc/articles/PMC6010749/ /pubmed/29938055 http://dx.doi.org/10.1002/ece3.4031 Text en © 2018 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the 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
Godoy, Bruno Spacek
Camargos, Lucas Marques
Lodi, Sara
When phylogeny and ecology meet: Modeling the occurrence of Trichoptera with environmental and phylogenetic data
title When phylogeny and ecology meet: Modeling the occurrence of Trichoptera with environmental and phylogenetic data
title_full When phylogeny and ecology meet: Modeling the occurrence of Trichoptera with environmental and phylogenetic data
title_fullStr When phylogeny and ecology meet: Modeling the occurrence of Trichoptera with environmental and phylogenetic data
title_full_unstemmed When phylogeny and ecology meet: Modeling the occurrence of Trichoptera with environmental and phylogenetic data
title_short When phylogeny and ecology meet: Modeling the occurrence of Trichoptera with environmental and phylogenetic data
title_sort when phylogeny and ecology meet: modeling the occurrence of trichoptera with environmental and phylogenetic data
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6010749/
https://www.ncbi.nlm.nih.gov/pubmed/29938055
http://dx.doi.org/10.1002/ece3.4031
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