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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....

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
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.
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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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