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Potential distribution prediction of Amaranthus palmeri S. Watson in China under current and future climate scenarios

The vicious invasive alien plant Amaranthus palmeri poses a serious threat to ecological security and food security due to its strong adaptability, competitiveness, and herbicide resistance. Predicting its potential habitats under current and future climate change is critical for monitoring and earl...

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Autores principales: Zhang, Xinyi, Zhao, Jian, Wang, Miaomiao, Li, Zhipeng, Lin, Sheng, Chen, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9743064/
https://www.ncbi.nlm.nih.gov/pubmed/36518625
http://dx.doi.org/10.1002/ece3.9505
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author Zhang, Xinyi
Zhao, Jian
Wang, Miaomiao
Li, Zhipeng
Lin, Sheng
Chen, Hong
author_facet Zhang, Xinyi
Zhao, Jian
Wang, Miaomiao
Li, Zhipeng
Lin, Sheng
Chen, Hong
author_sort Zhang, Xinyi
collection PubMed
description The vicious invasive alien plant Amaranthus palmeri poses a serious threat to ecological security and food security due to its strong adaptability, competitiveness, and herbicide resistance. Predicting its potential habitats under current and future climate change is critical for monitoring and early warning. In this study, we used two sets of climate data, namely, WorldClim1.4 and RCPs (the historical climate data of WorldClim version 1.4 and future climate data of RCPs), WorldClim2.1 and SSPs (the historical climate data of WorldClim version 2.1 and future climate data of SSPs), to analyze the dominant environmental variables affecting the habitat suitability and predict the potential distribution of A. palmeri to climate change in China based on the MaxEnt model. The results show that (i) Temperature has a greater impact on the distribution of A. palmeri. The relative contributions of temperature‐related variables count to 70% or more, and the annual mean temperature (bio1) reached more than 40%. (ii) At present, the potentially suitable area is widely distributed in the central‐east and parts of southwest China, and the high suitable area is focused on the North China Plain. The potential suitable area predicted by WorldClim1.4 and WorldClim2.1 both accounts for about 31% of China's total land area. (iii) Future climate change will expand the suitable habitats to high latitudes and altitudes. The overall suitable area maximum increased to 44.93% under SSPs and 38.91% under RCPs. We conclude that climate change would increase the risk of A. palmeri expanding to high latitudes and altitudes, the results have practical implications for the effective long‐term management in response to the global warming of A. palmeri.
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spelling pubmed-97430642022-12-13 Potential distribution prediction of Amaranthus palmeri S. Watson in China under current and future climate scenarios Zhang, Xinyi Zhao, Jian Wang, Miaomiao Li, Zhipeng Lin, Sheng Chen, Hong Ecol Evol Research Articles The vicious invasive alien plant Amaranthus palmeri poses a serious threat to ecological security and food security due to its strong adaptability, competitiveness, and herbicide resistance. Predicting its potential habitats under current and future climate change is critical for monitoring and early warning. In this study, we used two sets of climate data, namely, WorldClim1.4 and RCPs (the historical climate data of WorldClim version 1.4 and future climate data of RCPs), WorldClim2.1 and SSPs (the historical climate data of WorldClim version 2.1 and future climate data of SSPs), to analyze the dominant environmental variables affecting the habitat suitability and predict the potential distribution of A. palmeri to climate change in China based on the MaxEnt model. The results show that (i) Temperature has a greater impact on the distribution of A. palmeri. The relative contributions of temperature‐related variables count to 70% or more, and the annual mean temperature (bio1) reached more than 40%. (ii) At present, the potentially suitable area is widely distributed in the central‐east and parts of southwest China, and the high suitable area is focused on the North China Plain. The potential suitable area predicted by WorldClim1.4 and WorldClim2.1 both accounts for about 31% of China's total land area. (iii) Future climate change will expand the suitable habitats to high latitudes and altitudes. The overall suitable area maximum increased to 44.93% under SSPs and 38.91% under RCPs. We conclude that climate change would increase the risk of A. palmeri expanding to high latitudes and altitudes, the results have practical implications for the effective long‐term management in response to the global warming of A. palmeri. John Wiley and Sons Inc. 2022-12-12 /pmc/articles/PMC9743064/ /pubmed/36518625 http://dx.doi.org/10.1002/ece3.9505 Text en © 2022 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 Research Articles
Zhang, Xinyi
Zhao, Jian
Wang, Miaomiao
Li, Zhipeng
Lin, Sheng
Chen, Hong
Potential distribution prediction of Amaranthus palmeri S. Watson in China under current and future climate scenarios
title Potential distribution prediction of Amaranthus palmeri S. Watson in China under current and future climate scenarios
title_full Potential distribution prediction of Amaranthus palmeri S. Watson in China under current and future climate scenarios
title_fullStr Potential distribution prediction of Amaranthus palmeri S. Watson in China under current and future climate scenarios
title_full_unstemmed Potential distribution prediction of Amaranthus palmeri S. Watson in China under current and future climate scenarios
title_short Potential distribution prediction of Amaranthus palmeri S. Watson in China under current and future climate scenarios
title_sort potential distribution prediction of amaranthus palmeri s. watson in china under current and future climate scenarios
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9743064/
https://www.ncbi.nlm.nih.gov/pubmed/36518625
http://dx.doi.org/10.1002/ece3.9505
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