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Demographic amplification is a predictor of invasiveness among plants
Invasive plant species threaten native biodiversity, ecosystems, agriculture, industry and human health worldwide, lending urgency to the search for predictors of plant invasiveness outside native ranges. There is much conflicting evidence about which plant characteristics best predict invasiveness....
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6897985/ https://www.ncbi.nlm.nih.gov/pubmed/31811170 http://dx.doi.org/10.1038/s41467-019-13556-w |
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author | Jelbert, Kim Buss, Danielle McDonald, Jenni Townley, Stuart Franco, Miguel Stott, Iain Jones, Owen Salguero-Gómez, Roberto Buckley, Yvonne Knight, Tiffany Silk, Matthew Sargent, Francesca Rolph, Simon Wilson, Phil Hodgson, Dave |
author_facet | Jelbert, Kim Buss, Danielle McDonald, Jenni Townley, Stuart Franco, Miguel Stott, Iain Jones, Owen Salguero-Gómez, Roberto Buckley, Yvonne Knight, Tiffany Silk, Matthew Sargent, Francesca Rolph, Simon Wilson, Phil Hodgson, Dave |
author_sort | Jelbert, Kim |
collection | PubMed |
description | Invasive plant species threaten native biodiversity, ecosystems, agriculture, industry and human health worldwide, lending urgency to the search for predictors of plant invasiveness outside native ranges. There is much conflicting evidence about which plant characteristics best predict invasiveness. Here we use a global demographic survey for over 500 plant species to show that populations of invasive plants have better potential to recover from disturbance than non-invasives, even when measured in the native range. Invasives have high stable population growth rates in their invaded ranges, but this metric cannot be predicted based on measurements in the native ranges. Recovery from demographic disturbance is a measure of transient population amplification, linked to high levels of reproduction, and shows phylogenetic signal. Our results demonstrate that transient population dynamics and reproductive capacity can help to predict invasiveness across the plant kingdom, and should guide international policy on trade and movement of plants. |
format | Online Article Text |
id | pubmed-6897985 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68979852019-12-09 Demographic amplification is a predictor of invasiveness among plants Jelbert, Kim Buss, Danielle McDonald, Jenni Townley, Stuart Franco, Miguel Stott, Iain Jones, Owen Salguero-Gómez, Roberto Buckley, Yvonne Knight, Tiffany Silk, Matthew Sargent, Francesca Rolph, Simon Wilson, Phil Hodgson, Dave Nat Commun Article Invasive plant species threaten native biodiversity, ecosystems, agriculture, industry and human health worldwide, lending urgency to the search for predictors of plant invasiveness outside native ranges. There is much conflicting evidence about which plant characteristics best predict invasiveness. Here we use a global demographic survey for over 500 plant species to show that populations of invasive plants have better potential to recover from disturbance than non-invasives, even when measured in the native range. Invasives have high stable population growth rates in their invaded ranges, but this metric cannot be predicted based on measurements in the native ranges. Recovery from demographic disturbance is a measure of transient population amplification, linked to high levels of reproduction, and shows phylogenetic signal. Our results demonstrate that transient population dynamics and reproductive capacity can help to predict invasiveness across the plant kingdom, and should guide international policy on trade and movement of plants. Nature Publishing Group UK 2019-12-06 /pmc/articles/PMC6897985/ /pubmed/31811170 http://dx.doi.org/10.1038/s41467-019-13556-w Text en © The Author(s) 2019 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Jelbert, Kim Buss, Danielle McDonald, Jenni Townley, Stuart Franco, Miguel Stott, Iain Jones, Owen Salguero-Gómez, Roberto Buckley, Yvonne Knight, Tiffany Silk, Matthew Sargent, Francesca Rolph, Simon Wilson, Phil Hodgson, Dave Demographic amplification is a predictor of invasiveness among plants |
title | Demographic amplification is a predictor of invasiveness among plants |
title_full | Demographic amplification is a predictor of invasiveness among plants |
title_fullStr | Demographic amplification is a predictor of invasiveness among plants |
title_full_unstemmed | Demographic amplification is a predictor of invasiveness among plants |
title_short | Demographic amplification is a predictor of invasiveness among plants |
title_sort | demographic amplification is a predictor of invasiveness among plants |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6897985/ https://www.ncbi.nlm.nih.gov/pubmed/31811170 http://dx.doi.org/10.1038/s41467-019-13556-w |
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