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A Modeling Framework to Frame a Biological Invasion: Impatiens glandulifera in North America
Biological invasions are a major component of global environmental change with severe ecological and economic consequences. Since eradicating biological invaders is costly and even futile in many cases, predicting the areas under risk to take preventive measures is crucial. Impatiens glandulifera is...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10097319/ https://www.ncbi.nlm.nih.gov/pubmed/37050059 http://dx.doi.org/10.3390/plants12071433 |
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author | Kanmaz, Oğuzhan Şenel, Tuğçe Dalfes, H. Nüzhet |
author_facet | Kanmaz, Oğuzhan Şenel, Tuğçe Dalfes, H. Nüzhet |
author_sort | Kanmaz, Oğuzhan |
collection | PubMed |
description | Biological invasions are a major component of global environmental change with severe ecological and economic consequences. Since eradicating biological invaders is costly and even futile in many cases, predicting the areas under risk to take preventive measures is crucial. Impatiens glandulifera is a very aggressive and prolific invasive species and has been expanding its invasive range all across the Northern hemisphere, primarily in Europe. Although it is currently spread in the east and west of North America (in Canada and USA), studies on its fate under climate change are quite limited compared to the vast literature in Europe. Hybrid models, which integrate multiple modeling approaches, are promising tools for making projections to identify the areas under invasion risk. We developed a hybrid and spatially explicit framework by utilizing MaxEnt, one of the most preferred species distribution modeling (SDM) methods, and we developed an agent-based model (ABM) with the statistical language R. We projected the I. glandulifera invasion in North America, for the 2020–2050 period, under the RCP 4.5 scenario. Our results showed a predominant northward progression of the invasive range alongside an aggressive expansion in both currently invaded areas and interior regions. Our projections will provide valuable insights for risk assessment before the potentially irreversible outcomes emerge, considering the severity of the current state of the invasion in Europe. |
format | Online Article Text |
id | pubmed-10097319 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100973192023-04-13 A Modeling Framework to Frame a Biological Invasion: Impatiens glandulifera in North America Kanmaz, Oğuzhan Şenel, Tuğçe Dalfes, H. Nüzhet Plants (Basel) Article Biological invasions are a major component of global environmental change with severe ecological and economic consequences. Since eradicating biological invaders is costly and even futile in many cases, predicting the areas under risk to take preventive measures is crucial. Impatiens glandulifera is a very aggressive and prolific invasive species and has been expanding its invasive range all across the Northern hemisphere, primarily in Europe. Although it is currently spread in the east and west of North America (in Canada and USA), studies on its fate under climate change are quite limited compared to the vast literature in Europe. Hybrid models, which integrate multiple modeling approaches, are promising tools for making projections to identify the areas under invasion risk. We developed a hybrid and spatially explicit framework by utilizing MaxEnt, one of the most preferred species distribution modeling (SDM) methods, and we developed an agent-based model (ABM) with the statistical language R. We projected the I. glandulifera invasion in North America, for the 2020–2050 period, under the RCP 4.5 scenario. Our results showed a predominant northward progression of the invasive range alongside an aggressive expansion in both currently invaded areas and interior regions. Our projections will provide valuable insights for risk assessment before the potentially irreversible outcomes emerge, considering the severity of the current state of the invasion in Europe. MDPI 2023-03-24 /pmc/articles/PMC10097319/ /pubmed/37050059 http://dx.doi.org/10.3390/plants12071433 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kanmaz, Oğuzhan Şenel, Tuğçe Dalfes, H. Nüzhet A Modeling Framework to Frame a Biological Invasion: Impatiens glandulifera in North America |
title | A Modeling Framework to Frame a Biological Invasion: Impatiens glandulifera in North America |
title_full | A Modeling Framework to Frame a Biological Invasion: Impatiens glandulifera in North America |
title_fullStr | A Modeling Framework to Frame a Biological Invasion: Impatiens glandulifera in North America |
title_full_unstemmed | A Modeling Framework to Frame a Biological Invasion: Impatiens glandulifera in North America |
title_short | A Modeling Framework to Frame a Biological Invasion: Impatiens glandulifera in North America |
title_sort | modeling framework to frame a biological invasion: impatiens glandulifera in north america |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10097319/ https://www.ncbi.nlm.nih.gov/pubmed/37050059 http://dx.doi.org/10.3390/plants12071433 |
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