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Predicting the Impact of Climate Change on the Distribution of a Neglected Arboviruses Vector (Armigeres subalbatus) in China
The geographic boundaries of arboviruses continue to expand, posing a major health threat to millions of people around the world. This expansion is related to the availability of effective vectors and suitable habitats. Armigeres subalbatus (Coquillett, 1898), a common and neglected species, is of i...
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/PMC9788555/ https://www.ncbi.nlm.nih.gov/pubmed/36548686 http://dx.doi.org/10.3390/tropicalmed7120431 |
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author | Wang, Gang Zhang, Dongjing Khan, Jehangir Guo, Jiatian Feng, Qingdeng Sun, Yan Li, Beiqing Wu, Yu Wu, Zhongdao Zheng, Xiaoying |
author_facet | Wang, Gang Zhang, Dongjing Khan, Jehangir Guo, Jiatian Feng, Qingdeng Sun, Yan Li, Beiqing Wu, Yu Wu, Zhongdao Zheng, Xiaoying |
author_sort | Wang, Gang |
collection | PubMed |
description | The geographic boundaries of arboviruses continue to expand, posing a major health threat to millions of people around the world. This expansion is related to the availability of effective vectors and suitable habitats. Armigeres subalbatus (Coquillett, 1898), a common and neglected species, is of increasing interest given its potential vector capacity for Zika virus. However, potential distribution patterns and the underlying driving factors of Ar. subalbatus remain unknown. In the current study, detailed maps of their potential distributions were developed under both the current as well as future climate change scenarios (SSP126 and SSP585) based on CMIP6 data, employing the MaxEnt model. The results showed that the distribution of the Ar. subalbatus was mainly affected by temperature. Mean diurnal range was the strongest predictor in shaping the distribution of Ar. subalbatus, with an 85.2% contribution rate. By the 2050s and 2070s, Ar. subalbatus will have a broader potential distribution across China. There are two suitable expansion types under climate change in the 2050s and 2070s. The first type is continuous distribution expansion, and the second type is sporadic distribution expansion. Our comprehensive analysis of Ar. subalbatus’s suitable distribution areas shifts under climate change and provides useful and insightful information for developing management strategies for future arboviruses. |
format | Online Article Text |
id | pubmed-9788555 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97885552022-12-24 Predicting the Impact of Climate Change on the Distribution of a Neglected Arboviruses Vector (Armigeres subalbatus) in China Wang, Gang Zhang, Dongjing Khan, Jehangir Guo, Jiatian Feng, Qingdeng Sun, Yan Li, Beiqing Wu, Yu Wu, Zhongdao Zheng, Xiaoying Trop Med Infect Dis Article The geographic boundaries of arboviruses continue to expand, posing a major health threat to millions of people around the world. This expansion is related to the availability of effective vectors and suitable habitats. Armigeres subalbatus (Coquillett, 1898), a common and neglected species, is of increasing interest given its potential vector capacity for Zika virus. However, potential distribution patterns and the underlying driving factors of Ar. subalbatus remain unknown. In the current study, detailed maps of their potential distributions were developed under both the current as well as future climate change scenarios (SSP126 and SSP585) based on CMIP6 data, employing the MaxEnt model. The results showed that the distribution of the Ar. subalbatus was mainly affected by temperature. Mean diurnal range was the strongest predictor in shaping the distribution of Ar. subalbatus, with an 85.2% contribution rate. By the 2050s and 2070s, Ar. subalbatus will have a broader potential distribution across China. There are two suitable expansion types under climate change in the 2050s and 2070s. The first type is continuous distribution expansion, and the second type is sporadic distribution expansion. Our comprehensive analysis of Ar. subalbatus’s suitable distribution areas shifts under climate change and provides useful and insightful information for developing management strategies for future arboviruses. MDPI 2022-12-12 /pmc/articles/PMC9788555/ /pubmed/36548686 http://dx.doi.org/10.3390/tropicalmed7120431 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 Wang, Gang Zhang, Dongjing Khan, Jehangir Guo, Jiatian Feng, Qingdeng Sun, Yan Li, Beiqing Wu, Yu Wu, Zhongdao Zheng, Xiaoying Predicting the Impact of Climate Change on the Distribution of a Neglected Arboviruses Vector (Armigeres subalbatus) in China |
title | Predicting the Impact of Climate Change on the Distribution of a Neglected Arboviruses Vector (Armigeres subalbatus) in China |
title_full | Predicting the Impact of Climate Change on the Distribution of a Neglected Arboviruses Vector (Armigeres subalbatus) in China |
title_fullStr | Predicting the Impact of Climate Change on the Distribution of a Neglected Arboviruses Vector (Armigeres subalbatus) in China |
title_full_unstemmed | Predicting the Impact of Climate Change on the Distribution of a Neglected Arboviruses Vector (Armigeres subalbatus) in China |
title_short | Predicting the Impact of Climate Change on the Distribution of a Neglected Arboviruses Vector (Armigeres subalbatus) in China |
title_sort | predicting the impact of climate change on the distribution of a neglected arboviruses vector (armigeres subalbatus) in china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788555/ https://www.ncbi.nlm.nih.gov/pubmed/36548686 http://dx.doi.org/10.3390/tropicalmed7120431 |
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