Predicting the Impact of Climate Change on the Distribution of a Neglected Arboviruses Vector (Armigeres subalbatus) in China.
Predicting the Impact of Climate Change on the Distribution of a Neglected Arboviruses Vector (Armigeres subalbatus) in China.
复制标题
预测气候变化对中国被忽视的arboviruses载体(Armigeres subalbatus)分布的影响。
DOI:
10.3390/tropicalmed7120431
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发表时间:
2022-12-12
影响因子:
2.9
通讯作者:
中科院分区:
文献类型:
--
作者:
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.
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影响因子:
3.7
作者:
Diagne CT;Diallo D;Faye O;Ba Y;Faye O;Gaye A;Dia I;Faye O;Weaver SC;Sall AA;Diallo M
通讯作者:
Diallo M
影响因子:
9.1
作者:
Fu, Shihong;Song, Song;Liang, Guodong
通讯作者:
Liang, Guodong
影响因子:
5.9
作者:
Edren, Susi M. C.;Wisz, Mary S.;Soderkvist, Johan
通讯作者:
Soderkvist, Johan
影响因子:
9.8
作者:
Brown JL;Hill DJ;Dolan AM;Carnaval AC;Haywood AM
通讯作者:
Haywood AM
影响因子:
2.7
作者:
Brown JL;Bennett JR;French CM
通讯作者:
French CM