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Predicting Current Potential Distribution and the Range Dynamics of Pomacea canaliculata in China under Global Climate Change
SIMPLE SUMMARY: Pomacea canaliculata is one of the 100 worst invasive alien species in the world, causing significant effects and harm to native species, ecological environment, human health, and social economy. In this study, we used species distribution modeling (SDM) methods to predict the potent...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772860/ https://www.ncbi.nlm.nih.gov/pubmed/35053108 http://dx.doi.org/10.3390/biology11010110 |
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author | Yin, Yingxuan He, Qing Pan, Xiaowen Liu, Qiyong Wu, Yinjuan Li, Xuerong |
author_facet | Yin, Yingxuan He, Qing Pan, Xiaowen Liu, Qiyong Wu, Yinjuan Li, Xuerong |
author_sort | Yin, Yingxuan |
collection | PubMed |
description | SIMPLE SUMMARY: Pomacea canaliculata is one of the 100 worst invasive alien species in the world, causing significant effects and harm to native species, ecological environment, human health, and social economy. In this study, we used species distribution modeling (SDM) methods to predict the potential distribution of P. canaliculata in China and found that with climate change, there would be a trend of expanding and moving northward in the future. ABSTRACT: Pomacea canaliculata is one of the 100 worst invasive alien species in the world, which has significant effects and harm to native species, ecological environment, human health, and social economy. Climate change is one of the major causes of species range shifts. With recent climate change, the distribution of P. canaliculata has shifted northward. Understanding the potential distribution under current and future climate conditions will aid in the management of the risk of its invasion and spread. Here, we used species distribution modeling (SDM) methods to predict the potential distribution of P. canaliculata in China, and the jackknife test was used to assess the importance of environmental variables for modeling. Our study found that precipitation of the warmest quarter and maximum temperature in the coldest months played important roles in the distribution of P. canaliculata. With global warming, there will be a trend of expansion and northward movement in the future. This study could provide recommendations for the management and prevention of snail invasion and expansion. |
format | Online Article Text |
id | pubmed-8772860 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87728602022-01-21 Predicting Current Potential Distribution and the Range Dynamics of Pomacea canaliculata in China under Global Climate Change Yin, Yingxuan He, Qing Pan, Xiaowen Liu, Qiyong Wu, Yinjuan Li, Xuerong Biology (Basel) Article SIMPLE SUMMARY: Pomacea canaliculata is one of the 100 worst invasive alien species in the world, causing significant effects and harm to native species, ecological environment, human health, and social economy. In this study, we used species distribution modeling (SDM) methods to predict the potential distribution of P. canaliculata in China and found that with climate change, there would be a trend of expanding and moving northward in the future. ABSTRACT: Pomacea canaliculata is one of the 100 worst invasive alien species in the world, which has significant effects and harm to native species, ecological environment, human health, and social economy. Climate change is one of the major causes of species range shifts. With recent climate change, the distribution of P. canaliculata has shifted northward. Understanding the potential distribution under current and future climate conditions will aid in the management of the risk of its invasion and spread. Here, we used species distribution modeling (SDM) methods to predict the potential distribution of P. canaliculata in China, and the jackknife test was used to assess the importance of environmental variables for modeling. Our study found that precipitation of the warmest quarter and maximum temperature in the coldest months played important roles in the distribution of P. canaliculata. With global warming, there will be a trend of expansion and northward movement in the future. This study could provide recommendations for the management and prevention of snail invasion and expansion. MDPI 2022-01-10 /pmc/articles/PMC8772860/ /pubmed/35053108 http://dx.doi.org/10.3390/biology11010110 Text en © 2022 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 Yin, Yingxuan He, Qing Pan, Xiaowen Liu, Qiyong Wu, Yinjuan Li, Xuerong Predicting Current Potential Distribution and the Range Dynamics of Pomacea canaliculata in China under Global Climate Change |
title | Predicting Current Potential Distribution and the Range Dynamics of Pomacea canaliculata in China under Global Climate Change |
title_full | Predicting Current Potential Distribution and the Range Dynamics of Pomacea canaliculata in China under Global Climate Change |
title_fullStr | Predicting Current Potential Distribution and the Range Dynamics of Pomacea canaliculata in China under Global Climate Change |
title_full_unstemmed | Predicting Current Potential Distribution and the Range Dynamics of Pomacea canaliculata in China under Global Climate Change |
title_short | Predicting Current Potential Distribution and the Range Dynamics of Pomacea canaliculata in China under Global Climate Change |
title_sort | predicting current potential distribution and the range dynamics of pomacea canaliculata in china under global climate change |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772860/ https://www.ncbi.nlm.nih.gov/pubmed/35053108 http://dx.doi.org/10.3390/biology11010110 |
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