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An experimental test of the Community Assembly by Trait Selection (CATS) model
The Community Assembly by Trait Selection (CATS) model of community assembly predicts species abundances along environmental gradients in relatively undisturbed vegetation. Here we ask whether this model, when calibrated with data from natural plant communities, can predict the abundances of five do...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6267976/ https://www.ncbi.nlm.nih.gov/pubmed/30500826 http://dx.doi.org/10.1371/journal.pone.0206787 |
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author | Strahan, Robert T. Laughlin, Daniel C. Moore, Margaret M. |
author_facet | Strahan, Robert T. Laughlin, Daniel C. Moore, Margaret M. |
author_sort | Strahan, Robert T. |
collection | PubMed |
description | The Community Assembly by Trait Selection (CATS) model of community assembly predicts species abundances along environmental gradients in relatively undisturbed vegetation. Here we ask whether this model, when calibrated with data from natural plant communities, can predict the abundances of five dominant grass species (Bouteloua gracilis, Elymus elymoides, Festuca arizonica, Muhlenbergia montana, and Poa fendleriana) in a greenhouse experiment that manipulated light and soil properties. To address this question, we used generalized additive models (GAMs) to model community-weighted mean (CWM) seed mass, mean Julian flowering date, and specific root length (SRL) as non-linear functions of two environmental variables (soil pH and pine basal area) in natural vegetation. The model-fitted CWM traits were then used as constraints in the CATS model to predict the relative abundance of the five grass species that were seeded in a mixture at equal densities into a 2×2 factorial experiment with soil parent material and light level as crossed factors. Light was the most important factor influencing seedling community composition, especially the abundances of Bouteloua gracilis and Poa fendleriana. The model-predicted relative abundances were significantly correlated with the observed relative abundances, and the model accurately predicted the dominant species in every treatment. P. fendleriana was correctly predicted to be the most abundant species in both shade treatments and the sun-basalt treatment, and B. gracilis was correctly predicted to be the most abundant species in the sun-limestone treatment. Our results provide experimental evidence that environmental filtering of the species pool occurs in the early stages of community assembly (including germination, emergence, and early growth), and that trait-based models calibrated with data from natural plant communities can be used to predict the outcome of the early stages of community assembly under experimental conditions. |
format | Online Article Text |
id | pubmed-6267976 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-62679762018-12-19 An experimental test of the Community Assembly by Trait Selection (CATS) model Strahan, Robert T. Laughlin, Daniel C. Moore, Margaret M. PLoS One Research Article The Community Assembly by Trait Selection (CATS) model of community assembly predicts species abundances along environmental gradients in relatively undisturbed vegetation. Here we ask whether this model, when calibrated with data from natural plant communities, can predict the abundances of five dominant grass species (Bouteloua gracilis, Elymus elymoides, Festuca arizonica, Muhlenbergia montana, and Poa fendleriana) in a greenhouse experiment that manipulated light and soil properties. To address this question, we used generalized additive models (GAMs) to model community-weighted mean (CWM) seed mass, mean Julian flowering date, and specific root length (SRL) as non-linear functions of two environmental variables (soil pH and pine basal area) in natural vegetation. The model-fitted CWM traits were then used as constraints in the CATS model to predict the relative abundance of the five grass species that were seeded in a mixture at equal densities into a 2×2 factorial experiment with soil parent material and light level as crossed factors. Light was the most important factor influencing seedling community composition, especially the abundances of Bouteloua gracilis and Poa fendleriana. The model-predicted relative abundances were significantly correlated with the observed relative abundances, and the model accurately predicted the dominant species in every treatment. P. fendleriana was correctly predicted to be the most abundant species in both shade treatments and the sun-basalt treatment, and B. gracilis was correctly predicted to be the most abundant species in the sun-limestone treatment. Our results provide experimental evidence that environmental filtering of the species pool occurs in the early stages of community assembly (including germination, emergence, and early growth), and that trait-based models calibrated with data from natural plant communities can be used to predict the outcome of the early stages of community assembly under experimental conditions. Public Library of Science 2018-11-30 /pmc/articles/PMC6267976/ /pubmed/30500826 http://dx.doi.org/10.1371/journal.pone.0206787 Text en © 2018 Strahan et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Strahan, Robert T. Laughlin, Daniel C. Moore, Margaret M. An experimental test of the Community Assembly by Trait Selection (CATS) model |
title | An experimental test of the Community Assembly by Trait Selection (CATS) model |
title_full | An experimental test of the Community Assembly by Trait Selection (CATS) model |
title_fullStr | An experimental test of the Community Assembly by Trait Selection (CATS) model |
title_full_unstemmed | An experimental test of the Community Assembly by Trait Selection (CATS) model |
title_short | An experimental test of the Community Assembly by Trait Selection (CATS) model |
title_sort | experimental test of the community assembly by trait selection (cats) model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6267976/ https://www.ncbi.nlm.nih.gov/pubmed/30500826 http://dx.doi.org/10.1371/journal.pone.0206787 |
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