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Predicting the potential global distribution of Ageratina adenophora under current and future climate change scenarios

AIM: Invasive alien species (IAS) threaten ecosystems and humans worldwide, and future climate change may accelerate the expansion of IAS. Predicting the suitable areas of IAS can prevent their further expansion. Ageratina adenophora is an invasive weed over 30 countries in tropical and subtropical...

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Autores principales: Changjun, Gu, Yanli, Tu, Linshan, Liu, Bo, Wei, Yili, Zhang, Haibin, Yu, Xilong, Wang, Zhuoga, Yangjin, Binghua, Zhang, Bohao, Cui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8427655/
https://www.ncbi.nlm.nih.gov/pubmed/34522363
http://dx.doi.org/10.1002/ece3.7974
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author Changjun, Gu
Yanli, Tu
Linshan, Liu
Bo, Wei
Yili, Zhang
Haibin, Yu
Xilong, Wang
Zhuoga, Yangjin
Binghua, Zhang
Bohao, Cui
author_facet Changjun, Gu
Yanli, Tu
Linshan, Liu
Bo, Wei
Yili, Zhang
Haibin, Yu
Xilong, Wang
Zhuoga, Yangjin
Binghua, Zhang
Bohao, Cui
author_sort Changjun, Gu
collection PubMed
description AIM: Invasive alien species (IAS) threaten ecosystems and humans worldwide, and future climate change may accelerate the expansion of IAS. Predicting the suitable areas of IAS can prevent their further expansion. Ageratina adenophora is an invasive weed over 30 countries in tropical and subtropical regions. However, the potential suitable areas of A. adenophora remain unclear along with its response to climate change. This study explored and mapped the current and future potential suitable areas of Ageratina adenophora. LOCATION: Global. TAXA: Asteraceae A. adenophora (Spreng.) R.M.King & H.Rob. Commonly known as Crofton weed. METHODS: Based on A. adenophora occurrence data and climate data, we predicted its suitable areas of this weed under current and future (four RCPs in 2050 and 2070) by MaxEnt model. We used ArcGIS 10.4 to explore the potential suitable area distribution characteristics of this weed and the “ecospat” package in R to analyze its altitudinal distribution changes. RESULTS: The area under the curve (AUC) value (>0.9) and true skill statistics (TSS) value (>0.8) indicated excelled model performance. Among environment factors, mean temperature of coldest quarter contributed most to the model. Globally, the suitable areas for A. adenophora invasion decreased under climate change scenarios, although regional increases were observed, including in six biodiversity hotspot regions. The potential suitable areas of A. adenophora under climate change would expand in regions with higher elevation (3,000–3,500 m). MAIN CONCLUSIONS: Mean temperature of coldest quarter was the most important variable influencing the potential suitable area of A. Adenophora. Under the background of a warming climate, the potential suitable area of A. adenophora will shrink globally but increase in six biodiversity hotspot regions. The potential suitable area of A. adenophora would expand at higher elevation (3,000–3,500 m) under climate change. Mountain ecosystems are of special concern as they are rich in biodiversity and sensitive to climate change, and increasing human activities provide more opportunities for IAS invasion.
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spelling pubmed-84276552021-09-13 Predicting the potential global distribution of Ageratina adenophora under current and future climate change scenarios Changjun, Gu Yanli, Tu Linshan, Liu Bo, Wei Yili, Zhang Haibin, Yu Xilong, Wang Zhuoga, Yangjin Binghua, Zhang Bohao, Cui Ecol Evol Original Research AIM: Invasive alien species (IAS) threaten ecosystems and humans worldwide, and future climate change may accelerate the expansion of IAS. Predicting the suitable areas of IAS can prevent their further expansion. Ageratina adenophora is an invasive weed over 30 countries in tropical and subtropical regions. However, the potential suitable areas of A. adenophora remain unclear along with its response to climate change. This study explored and mapped the current and future potential suitable areas of Ageratina adenophora. LOCATION: Global. TAXA: Asteraceae A. adenophora (Spreng.) R.M.King & H.Rob. Commonly known as Crofton weed. METHODS: Based on A. adenophora occurrence data and climate data, we predicted its suitable areas of this weed under current and future (four RCPs in 2050 and 2070) by MaxEnt model. We used ArcGIS 10.4 to explore the potential suitable area distribution characteristics of this weed and the “ecospat” package in R to analyze its altitudinal distribution changes. RESULTS: The area under the curve (AUC) value (>0.9) and true skill statistics (TSS) value (>0.8) indicated excelled model performance. Among environment factors, mean temperature of coldest quarter contributed most to the model. Globally, the suitable areas for A. adenophora invasion decreased under climate change scenarios, although regional increases were observed, including in six biodiversity hotspot regions. The potential suitable areas of A. adenophora under climate change would expand in regions with higher elevation (3,000–3,500 m). MAIN CONCLUSIONS: Mean temperature of coldest quarter was the most important variable influencing the potential suitable area of A. Adenophora. Under the background of a warming climate, the potential suitable area of A. adenophora will shrink globally but increase in six biodiversity hotspot regions. The potential suitable area of A. adenophora would expand at higher elevation (3,000–3,500 m) under climate change. Mountain ecosystems are of special concern as they are rich in biodiversity and sensitive to climate change, and increasing human activities provide more opportunities for IAS invasion. John Wiley and Sons Inc. 2021-08-08 /pmc/articles/PMC8427655/ /pubmed/34522363 http://dx.doi.org/10.1002/ece3.7974 Text en © 2021 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Changjun, Gu
Yanli, Tu
Linshan, Liu
Bo, Wei
Yili, Zhang
Haibin, Yu
Xilong, Wang
Zhuoga, Yangjin
Binghua, Zhang
Bohao, Cui
Predicting the potential global distribution of Ageratina adenophora under current and future climate change scenarios
title Predicting the potential global distribution of Ageratina adenophora under current and future climate change scenarios
title_full Predicting the potential global distribution of Ageratina adenophora under current and future climate change scenarios
title_fullStr Predicting the potential global distribution of Ageratina adenophora under current and future climate change scenarios
title_full_unstemmed Predicting the potential global distribution of Ageratina adenophora under current and future climate change scenarios
title_short Predicting the potential global distribution of Ageratina adenophora under current and future climate change scenarios
title_sort predicting the potential global distribution of ageratina adenophora under current and future climate change scenarios
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8427655/
https://www.ncbi.nlm.nih.gov/pubmed/34522363
http://dx.doi.org/10.1002/ece3.7974
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