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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...

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Autores principales: Kanmaz, Oğuzhan, Şenel, Tuğçe, Dalfes, H. Nüzhet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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.
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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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