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dc.contributor.author
Valdez, Lucas Daniel  
dc.contributor.author
Sibona, Gustavo Javier  
dc.contributor.author
Condat, Carlos  
dc.date.available
2019-12-05T22:21:18Z  
dc.date.issued
2018-10-10  
dc.identifier.citation
Valdez, Lucas Daniel; Sibona, Gustavo Javier; Condat, Carlos; Impact of rainfall on Aedes aegypti populations; Elsevier Science; Ecological Modelling; 385; 10-10-2018; 96-105  
dc.identifier.issn
0304-3800  
dc.identifier.uri
http://hdl.handle.net/11336/91565  
dc.description.abstract
Aedes aegypti is the main vector of multiple diseases, such as dengue, Zika, and chikungunya. Due to modifications in weather patterns, its geographical range is continuously evolving. Temperature is a key factor for its expansion into regions with cool winters, but rainfall can also have a strong impact on the colonization of these regions, since larvae emerging after a rainfall are likely to die at temperatures below 10 °C. As climate change is expected to affect rainfall regimes, with a higher frequency of heavy storms and an increase in drought-affected areas, it is important to understand how different rainfall scenarios may shape Ae. aegypti's range. We develop a model for the population dynamics of Ae. aegypti, coupled with a rainfall model to study the effect of the temporal distribution of rainfall on mosquito abundance. Using a fracturing process, we then investigate the effect of a higher variability in the daily rainfall. As an example, we show that rainfall distribution is necessary to explain the geographic range of Ae. aegypti in Taiwan, an island characterized by rainy winters in the north and dry winters in the south. We also predict that a higher variability in the rainfall time distribution will decrease the maximum abundance of Ae. aegypti during the summer. An increase in daily rainfall variability will likewise enhance its extinction probability. Finally, we obtain a nonlinear relationship between dry season duration and extinction probability. These findings can have a significant impact on our ability to predict disease outbreaks.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
AEDES  
dc.subject
MATHEMATICAL MODELING  
dc.subject
MOSQUITO ABUNDANCE  
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RAINFALL  
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TAIWAN  
dc.subject.classification
Otras Ciencias Físicas  
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Ciencias Físicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Impact of rainfall on Aedes aegypti populations  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2019-10-22T16:36:03Z  
dc.journal.volume
385  
dc.journal.pagination
96-105  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Valdez, Lucas Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina. Boston University; Estados Unidos  
dc.description.fil
Fil: Sibona, Gustavo Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina  
dc.description.fil
Fil: Condat, Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina  
dc.journal.title
Ecological Modelling  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/j.ecolmodel.2018.07.003  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0304380018302382  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/arxiv/https://arxiv.org/abs/1711.07164