2016
DOI: 10.1186/s13071-016-1853-2
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Aedes albopictus and Aedes japonicus - two invasive mosquito species with different temperature niches in Europe

Abstract: Background Aedes albopictus and Ae. japonicus are two of the most widespread invasive mosquito species that have recently become established in western Europe. Both species are associated with the transmission of a number of serious diseases and are projected to continue their spread in Europe.MethodsIn the present study, we modelled the habitat suitability for both species under current and future climatic conditions by means of an Ensemble forecasting approach. We additionally compared the modelled MAXENT ni… Show more

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Cited by 79 publications
(98 citation statements)
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“…Indeed, a mean temperature of the warmest quarter equal to 25 ‱ C represents an optimum temperature for Ae. albopictus [58]. On the other hand, the mean temperature of the coldest month was not related to Ae.…”
Section: Discussionmentioning
confidence: 77%
See 1 more Smart Citation
“…Indeed, a mean temperature of the warmest quarter equal to 25 ‱ C represents an optimum temperature for Ae. albopictus [58]. On the other hand, the mean temperature of the coldest month was not related to Ae.…”
Section: Discussionmentioning
confidence: 77%
“…koreicus, whose invasion success may be facilitated by a spatiotemporal niche segregation with Ae. albopictus [24,31,58]. Further research is needed to lower the high uncertainty of prediction in artificial areas and to produce more accurate IMS abundance maps that are required by stakeholders for vector surveillance and control.…”
Section: Resultsmentioning
confidence: 99%
“…Maximum entropy niche modelling (Maxent) is a widely‐used approach in invasive species habitat modelling (Medley , Fischer et al , Rochlin, Ninivaggi, et al , Campbell et al , Melaun et al , Cunze et al , Johnson et al , Estallo et al ). Maxent is a machine‐learning algorithm which uses presence‐only data to model species distributions (Phillips et al ) and that compares favorably with similar methods (Elith et al , Phillips et al ), even when limited presence data is available (Elith et al , Phillips et al ).…”
Section: Methodsmentioning
confidence: 99%
“…After the publication of our paper [1] we realised that, due to erroneous labelling of some figure files, Figs. 3, 4 and 5 appear out of order and are associated with wrong figure legends.…”
Section: Erratummentioning
confidence: 99%