Tran Annelise, L'Ambert Grégory, Lacour Guillaume, Benoît Romain, Demarchi Marie, Cros Myriam, Cailly Priscilla, Aubry-Kientz Mélaine, Balenghien Thomas, Ezanno Pauline. 2013. A Rainfall- and Temperature-Driven Abundance Model for Aedes albopictus Populations. International Journal of Environmental Research and Public Health, 10 (5) : 1698-1719.
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Url - jeu de données - Dataverse Cirad : https://doi.org/10.18167/DVN1/APVHYM / Url - jeu de données - Dataverse Cirad : https://doi.org/10.18167/DVN1/XF2I3L
Quartile : Q2, Sujet : ENVIRONMENTAL SCIENCES
Résumé : The mosquito Aedes (Stegomyia) albopictus (Skuse) (Diptera: Culicidae) is an invasive species which has colonized Southern Europe in the last two decades. As it is a competent vector for several arboviruses, its spread is of increasing public health concern, and there is a need for appropriate monitoring tools. In this paper, we have developed a modelling approach to predict mosquito abundance over time, and identify the main determinants of mosquito population dynamics. The model is temperature- and rainfall-driven, takes into account egg diapause during unfavourable periods, and was used to model the population dynamics of Ae. albopictus in the French Riviera since 2008. Entomological collections of egg stage from six locations in Nice conurbation were used for model validation. We performed a sensitivity analysis to identify the key parameters of the mosquito population dynamics. Results showed that the model correctly predicted entomological field data (Pearson r correlation coefficient values range from 0.73 to 0.93). The model's main control points were related to adult's mortality rates, the carrying capacity in pupae of the environment, and the beginning of the unfavourable period. The proposed model can be efficiently used as a tool to predict Ae. albopictus population dynamics, and to assess the efficiency of different control strategies.
Mots-clés Agrovoc : Aedes albopictus, dynamique des populations, modèle, précipitation, température
Mots-clés géographiques Agrovoc : Provence-Alpes-Côte d'Azur, France
Classification Agris : L72 - Organismes nuisibles des animaux
P40 - Météorologie et climatologie
Champ stratégique Cirad : Axe 4 (2005-2013) - Santé animale et maladies émergentes
Auteurs et affiliations
- Tran Annelise, CIRAD-ES-UPR AGIRs (FRA) ORCID: 0000-0001-5463-332X
- L'Ambert Grégory, EID (FRA)
- Lacour Guillaume, EID (FRA)
- Benoît Romain, EID (FRA)
- Demarchi Marie, SIRS (FRA)
- Cros Myriam, EID (FRA)
- Cailly Priscilla, INRA (FRA)
- Aubry-Kientz Mélaine, CIRAD-ES-UMR Ecofog (GUF)
- Balenghien Thomas, CIRAD-BIOS-UMR CMAEE (FRA) ORCID: 0009-0008-4495-4814
- Ezanno Pauline, INRA (FRA)
Source : Cirad - Agritrop (https://agritrop.cirad.fr/569175/)
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