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Potential distribution of selected invasive alien plants under current and future climate change scenarios in South Africa

Invasive alien plants are one of the main causes for the decline of native biodiversity worldwide. Hence, it is crucial to understand the dynamics of invasive plants in the context of a changing climate. The main aim of this study was to evaluate the potential distribution of two major invasive alie...

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Autores principales: Mengistu, Achamyeleh G., Tesfuhuney, Weldemichael A., Woyessa, Yali E., Steyn, Abraham S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10559257/
https://www.ncbi.nlm.nih.gov/pubmed/37809438
http://dx.doi.org/10.1016/j.heliyon.2023.e19867
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author Mengistu, Achamyeleh G.
Tesfuhuney, Weldemichael A.
Woyessa, Yali E.
Steyn, Abraham S.
author_facet Mengistu, Achamyeleh G.
Tesfuhuney, Weldemichael A.
Woyessa, Yali E.
Steyn, Abraham S.
author_sort Mengistu, Achamyeleh G.
collection PubMed
description Invasive alien plants are one of the main causes for the decline of native biodiversity worldwide. Hence, it is crucial to understand the dynamics of invasive plants in the context of a changing climate. The main aim of this study was to evaluate the potential distribution of two major invasive alien plants, Prosopis spp and Acacia mearnsii, under current and future climate change scenarios across South Africa. The maximum entropy (MaxEnt) model was used with species occurrence data and bioclimatic variables. The Species occurrence data was obtained from the Global Biodiversity Information Facility (GBIF), while the bioclimatic variables were downloaded from the WorldClim database. The model evaluation metrics for training and test samples were the area under curve (AUC) of 0.76 and 0.77 for Prosopis spp, and 0.91 and 0.89 for A. mearnsii, respectively. It showed that MaxEnt performed well in mapping the distribution of both species. Model results indicated that the near-current potential distribution of Prosopis spp and A. mearnsii in South Africa is significant (93.8% and 9.7% of the total land area, respectively). With the projected climate, Prosopis spp showed an inconsistent result across the General Circulation Models (GCMs), projection times and climate change scenarios. However, with respect to the current potential distribution, the geographical ranges of A. mearnsii will significantly contract (by about 75%) due to climate change. Therefore, it is imperative that policy makers, environmental managers and other stakeholders implement integrated management and control strategies to restrict the distribution of Prosopis spp.
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spelling pubmed-105592572023-10-08 Potential distribution of selected invasive alien plants under current and future climate change scenarios in South Africa Mengistu, Achamyeleh G. Tesfuhuney, Weldemichael A. Woyessa, Yali E. Steyn, Abraham S. Heliyon Research Article Invasive alien plants are one of the main causes for the decline of native biodiversity worldwide. Hence, it is crucial to understand the dynamics of invasive plants in the context of a changing climate. The main aim of this study was to evaluate the potential distribution of two major invasive alien plants, Prosopis spp and Acacia mearnsii, under current and future climate change scenarios across South Africa. The maximum entropy (MaxEnt) model was used with species occurrence data and bioclimatic variables. The Species occurrence data was obtained from the Global Biodiversity Information Facility (GBIF), while the bioclimatic variables were downloaded from the WorldClim database. The model evaluation metrics for training and test samples were the area under curve (AUC) of 0.76 and 0.77 for Prosopis spp, and 0.91 and 0.89 for A. mearnsii, respectively. It showed that MaxEnt performed well in mapping the distribution of both species. Model results indicated that the near-current potential distribution of Prosopis spp and A. mearnsii in South Africa is significant (93.8% and 9.7% of the total land area, respectively). With the projected climate, Prosopis spp showed an inconsistent result across the General Circulation Models (GCMs), projection times and climate change scenarios. However, with respect to the current potential distribution, the geographical ranges of A. mearnsii will significantly contract (by about 75%) due to climate change. Therefore, it is imperative that policy makers, environmental managers and other stakeholders implement integrated management and control strategies to restrict the distribution of Prosopis spp. Elsevier 2023-09-07 /pmc/articles/PMC10559257/ /pubmed/37809438 http://dx.doi.org/10.1016/j.heliyon.2023.e19867 Text en © 2023 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Mengistu, Achamyeleh G.
Tesfuhuney, Weldemichael A.
Woyessa, Yali E.
Steyn, Abraham S.
Potential distribution of selected invasive alien plants under current and future climate change scenarios in South Africa
title Potential distribution of selected invasive alien plants under current and future climate change scenarios in South Africa
title_full Potential distribution of selected invasive alien plants under current and future climate change scenarios in South Africa
title_fullStr Potential distribution of selected invasive alien plants under current and future climate change scenarios in South Africa
title_full_unstemmed Potential distribution of selected invasive alien plants under current and future climate change scenarios in South Africa
title_short Potential distribution of selected invasive alien plants under current and future climate change scenarios in South Africa
title_sort potential distribution of selected invasive alien plants under current and future climate change scenarios in south africa
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10559257/
https://www.ncbi.nlm.nih.gov/pubmed/37809438
http://dx.doi.org/10.1016/j.heliyon.2023.e19867
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