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Mechanistic models project bird invasions with accuracy
Invasive species pose a major threat to biodiversity and inflict massive economic costs. Effective management of bio-invasions depends on reliable predictions of areas at risk of invasion, as they allow early invader detection and rapid responses. Yet, considerable uncertainty remains as to how to p...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154326/ https://www.ncbi.nlm.nih.gov/pubmed/37130835 http://dx.doi.org/10.1038/s41467-023-38329-4 |
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author | Strubbe, Diederik Jiménez, Laura Barbosa, A. Márcia Davis, Amy J. S. Lens, Luc Rahbek, Carsten |
author_facet | Strubbe, Diederik Jiménez, Laura Barbosa, A. Márcia Davis, Amy J. S. Lens, Luc Rahbek, Carsten |
author_sort | Strubbe, Diederik |
collection | PubMed |
description | Invasive species pose a major threat to biodiversity and inflict massive economic costs. Effective management of bio-invasions depends on reliable predictions of areas at risk of invasion, as they allow early invader detection and rapid responses. Yet, considerable uncertainty remains as to how to predict best potential invasive distribution ranges. Using a set of mainly (sub)tropical birds introduced to Europe, we show that the true extent of the geographical area at risk of invasion can accurately be determined by using ecophysiological mechanistic models that quantify species’ fundamental thermal niches. Potential invasive ranges are primarily constrained by functional traits related to body allometry and body temperature, metabolic rates, and feather insulation. Given their capacity to identify tolerable climates outside of contemporary realized species niches, mechanistic predictions are well suited for informing effective policy and management aimed at preventing the escalating impacts of invasive species. |
format | Online Article Text |
id | pubmed-10154326 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101543262023-05-04 Mechanistic models project bird invasions with accuracy Strubbe, Diederik Jiménez, Laura Barbosa, A. Márcia Davis, Amy J. S. Lens, Luc Rahbek, Carsten Nat Commun Article Invasive species pose a major threat to biodiversity and inflict massive economic costs. Effective management of bio-invasions depends on reliable predictions of areas at risk of invasion, as they allow early invader detection and rapid responses. Yet, considerable uncertainty remains as to how to predict best potential invasive distribution ranges. Using a set of mainly (sub)tropical birds introduced to Europe, we show that the true extent of the geographical area at risk of invasion can accurately be determined by using ecophysiological mechanistic models that quantify species’ fundamental thermal niches. Potential invasive ranges are primarily constrained by functional traits related to body allometry and body temperature, metabolic rates, and feather insulation. Given their capacity to identify tolerable climates outside of contemporary realized species niches, mechanistic predictions are well suited for informing effective policy and management aimed at preventing the escalating impacts of invasive species. Nature Publishing Group UK 2023-05-02 /pmc/articles/PMC10154326/ /pubmed/37130835 http://dx.doi.org/10.1038/s41467-023-38329-4 Text en © The Author(s) 2023 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 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Strubbe, Diederik Jiménez, Laura Barbosa, A. Márcia Davis, Amy J. S. Lens, Luc Rahbek, Carsten Mechanistic models project bird invasions with accuracy |
title | Mechanistic models project bird invasions with accuracy |
title_full | Mechanistic models project bird invasions with accuracy |
title_fullStr | Mechanistic models project bird invasions with accuracy |
title_full_unstemmed | Mechanistic models project bird invasions with accuracy |
title_short | Mechanistic models project bird invasions with accuracy |
title_sort | mechanistic models project bird invasions with accuracy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154326/ https://www.ncbi.nlm.nih.gov/pubmed/37130835 http://dx.doi.org/10.1038/s41467-023-38329-4 |
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