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Deforestation is the turning point for the spreading of a weedy epiphyte: an IBM approach

The rapid spread of many weeds into intensely disturbed landscapes is boosted by clonal growth and self-fertilization strategies, which conversely increases the genetic structure of populations. Here, we use empirical and modeling approaches to evaluate the spreading dynamics of Tillandsia recurvata...

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Autores principales: Chaves, Cleber Juliano Neves, Leal, Bárbara Simões Santos, Rossatto, Davi Rodrigo, Berger, Uta, Palma-Silva, Clarisse
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516858/
https://www.ncbi.nlm.nih.gov/pubmed/34650134
http://dx.doi.org/10.1038/s41598-021-99798-5
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author Chaves, Cleber Juliano Neves
Leal, Bárbara Simões Santos
Rossatto, Davi Rodrigo
Berger, Uta
Palma-Silva, Clarisse
author_facet Chaves, Cleber Juliano Neves
Leal, Bárbara Simões Santos
Rossatto, Davi Rodrigo
Berger, Uta
Palma-Silva, Clarisse
author_sort Chaves, Cleber Juliano Neves
collection PubMed
description The rapid spread of many weeds into intensely disturbed landscapes is boosted by clonal growth and self-fertilization strategies, which conversely increases the genetic structure of populations. Here, we use empirical and modeling approaches to evaluate the spreading dynamics of Tillandsia recurvata (L.) L. populations, a common epiphytic weed with self-reproduction and clonal growth widespread in dry forests and deforested landscapes in the American continent. We introduce the TRec model, an individual-based approach to simulate the spreading of T. recurvata over time and across landscapes subjected to abrupt changes in tree density with the parameters adjusted according to the empirical genetic data based on microsatellites genotypes. Simulations with this model showed that the strong spatial genetic structure observed from empirical data in T. recurvata can be explained by a rapid increase in abundance and gene flow followed by stabilization after ca. 25 years. TRec model’s results also indicate that deforestation is a turning point for the rapid increase in both individual abundance and gene flow among T. recurvata subpopulations occurring in formerly dense forests. Active reforestation can, in turn, reverse such a scenario, although with a milder intensity. The genetic-based study suggests that anthropogenic changes in landscapes may strongly affect the population dynamics of species with ‘weedy’ traits.
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spelling pubmed-85168582021-10-15 Deforestation is the turning point for the spreading of a weedy epiphyte: an IBM approach Chaves, Cleber Juliano Neves Leal, Bárbara Simões Santos Rossatto, Davi Rodrigo Berger, Uta Palma-Silva, Clarisse Sci Rep Article The rapid spread of many weeds into intensely disturbed landscapes is boosted by clonal growth and self-fertilization strategies, which conversely increases the genetic structure of populations. Here, we use empirical and modeling approaches to evaluate the spreading dynamics of Tillandsia recurvata (L.) L. populations, a common epiphytic weed with self-reproduction and clonal growth widespread in dry forests and deforested landscapes in the American continent. We introduce the TRec model, an individual-based approach to simulate the spreading of T. recurvata over time and across landscapes subjected to abrupt changes in tree density with the parameters adjusted according to the empirical genetic data based on microsatellites genotypes. Simulations with this model showed that the strong spatial genetic structure observed from empirical data in T. recurvata can be explained by a rapid increase in abundance and gene flow followed by stabilization after ca. 25 years. TRec model’s results also indicate that deforestation is a turning point for the rapid increase in both individual abundance and gene flow among T. recurvata subpopulations occurring in formerly dense forests. Active reforestation can, in turn, reverse such a scenario, although with a milder intensity. The genetic-based study suggests that anthropogenic changes in landscapes may strongly affect the population dynamics of species with ‘weedy’ traits. Nature Publishing Group UK 2021-10-14 /pmc/articles/PMC8516858/ /pubmed/34650134 http://dx.doi.org/10.1038/s41598-021-99798-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Chaves, Cleber Juliano Neves
Leal, Bárbara Simões Santos
Rossatto, Davi Rodrigo
Berger, Uta
Palma-Silva, Clarisse
Deforestation is the turning point for the spreading of a weedy epiphyte: an IBM approach
title Deforestation is the turning point for the spreading of a weedy epiphyte: an IBM approach
title_full Deforestation is the turning point for the spreading of a weedy epiphyte: an IBM approach
title_fullStr Deforestation is the turning point for the spreading of a weedy epiphyte: an IBM approach
title_full_unstemmed Deforestation is the turning point for the spreading of a weedy epiphyte: an IBM approach
title_short Deforestation is the turning point for the spreading of a weedy epiphyte: an IBM approach
title_sort deforestation is the turning point for the spreading of a weedy epiphyte: an ibm approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516858/
https://www.ncbi.nlm.nih.gov/pubmed/34650134
http://dx.doi.org/10.1038/s41598-021-99798-5
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