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Using Risk Assessment and Habitat Suitability Models to Prioritise Invasive Species for Management in a Changing Climate
Accounting for climate change in invasive species risk assessments improves our understanding of potential future impacts and enhances our preparedness for the arrival of new non-native species. We combined traditional risk assessment for invasive species with habitat suitability modeling to assess...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5074526/ https://www.ncbi.nlm.nih.gov/pubmed/27768758 http://dx.doi.org/10.1371/journal.pone.0165292 |
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author | Chai, Shauna-Lee Zhang, Jian Nixon, Amy Nielsen, Scott |
author_facet | Chai, Shauna-Lee Zhang, Jian Nixon, Amy Nielsen, Scott |
author_sort | Chai, Shauna-Lee |
collection | PubMed |
description | Accounting for climate change in invasive species risk assessments improves our understanding of potential future impacts and enhances our preparedness for the arrival of new non-native species. We combined traditional risk assessment for invasive species with habitat suitability modeling to assess risk to biodiversity based on climate change. We demonstrate our method by assessing the risk for 15 potentially new invasive plant species to Alberta, Canada, an area where climate change is expected to facilitate the poleward expansion of invasive species ranges. Of the 15 species assessed, the three terrestrial invasive plant species that could pose the greatest threat to Alberta’s biodiversity are giant knotweed (Fallopia sachalinensis), tamarisk (Tamarix chinensis), and alkali swainsonpea (Sphaerophysa salsula). We characterise giant knotweed as ‘extremely invasive’, with 21 times the suitable habitat between baseline and future projected climate. Tamarisk is ‘extremely invasive’ with a 64% increase in suitable habitat, and alkali swainsonpea is ‘highly invasive’ with a 21% increase in suitable habitat. Our methodology can be used to predict and prioritise potentially new invasive species for their impact on biodiversity in the context of climate change. |
format | Online Article Text |
id | pubmed-5074526 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-50745262016-11-04 Using Risk Assessment and Habitat Suitability Models to Prioritise Invasive Species for Management in a Changing Climate Chai, Shauna-Lee Zhang, Jian Nixon, Amy Nielsen, Scott PLoS One Research Article Accounting for climate change in invasive species risk assessments improves our understanding of potential future impacts and enhances our preparedness for the arrival of new non-native species. We combined traditional risk assessment for invasive species with habitat suitability modeling to assess risk to biodiversity based on climate change. We demonstrate our method by assessing the risk for 15 potentially new invasive plant species to Alberta, Canada, an area where climate change is expected to facilitate the poleward expansion of invasive species ranges. Of the 15 species assessed, the three terrestrial invasive plant species that could pose the greatest threat to Alberta’s biodiversity are giant knotweed (Fallopia sachalinensis), tamarisk (Tamarix chinensis), and alkali swainsonpea (Sphaerophysa salsula). We characterise giant knotweed as ‘extremely invasive’, with 21 times the suitable habitat between baseline and future projected climate. Tamarisk is ‘extremely invasive’ with a 64% increase in suitable habitat, and alkali swainsonpea is ‘highly invasive’ with a 21% increase in suitable habitat. Our methodology can be used to predict and prioritise potentially new invasive species for their impact on biodiversity in the context of climate change. Public Library of Science 2016-10-21 /pmc/articles/PMC5074526/ /pubmed/27768758 http://dx.doi.org/10.1371/journal.pone.0165292 Text en © 2016 Chai 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 Chai, Shauna-Lee Zhang, Jian Nixon, Amy Nielsen, Scott Using Risk Assessment and Habitat Suitability Models to Prioritise Invasive Species for Management in a Changing Climate |
title | Using Risk Assessment and Habitat Suitability Models to Prioritise Invasive Species for Management in a Changing Climate |
title_full | Using Risk Assessment and Habitat Suitability Models to Prioritise Invasive Species for Management in a Changing Climate |
title_fullStr | Using Risk Assessment and Habitat Suitability Models to Prioritise Invasive Species for Management in a Changing Climate |
title_full_unstemmed | Using Risk Assessment and Habitat Suitability Models to Prioritise Invasive Species for Management in a Changing Climate |
title_short | Using Risk Assessment and Habitat Suitability Models to Prioritise Invasive Species for Management in a Changing Climate |
title_sort | using risk assessment and habitat suitability models to prioritise invasive species for management in a changing climate |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5074526/ https://www.ncbi.nlm.nih.gov/pubmed/27768758 http://dx.doi.org/10.1371/journal.pone.0165292 |
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