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Updated: May 11, 2026
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An Experimental and Bioinformatics Protocol for RNA-seq Analyses of Photoperiodic Diapause in the Asian Tiger Mosquito, Aedes albopictus
Published on: November 30, 2014
A rainfall- and temperature-driven abundance model for Aedes albopictus populations
Annelise Tran1, Grégory L'Ambert, Guillaume Lacour
1CIRAD, UPR AGIRs, Montpellier F-34398, France. annelise.tran@cirad.fr
Summary
A new model predicts the abundance of the invasive Aedes albopictus mosquito, a vector of arboviruses. Key factors influencing mosquito populations include adult mortality and environmental capacity.
Area of Science:
- * Ecology and Vector-Borne Disease Surveillance
- * Mathematical Modeling in Entomology
Background:
- * The invasive mosquito Aedes (Stegomyia) albopictus is spreading in Southern Europe.
- * Its role as an arbovirus vector raises public health concerns, necessitating effective monitoring tools.
Purpose of the Study:
- * To develop a predictive model for Aedes albopictus abundance.
- * To identify key determinants of mosquito population dynamics.
Main Methods:
- * A temperature- and rainfall-driven model incorporating egg diapause was developed.
- * The model was applied to Aedes albopictus in the French Riviera and validated using entomological egg collections.
- * Sensitivity analysis identified critical population dynamics parameters.
Main Results:
- * The model accurately predicted field data, with Pearson correlation coefficients ranging from 0.73 to 0.93.
- * Key factors influencing mosquito populations were adult mortality rates, environmental carrying capacity for pupae, and the onset of unfavorable periods.
Conclusions:
- * The developed model effectively predicts Aedes albopictus population dynamics.
- * This tool can aid in assessing the efficacy of various mosquito control strategies.
