Development of a Degree-Day Model to Predict Egg Hatch of Aedes albopictus

, the Asian tiger mosquito, is an important nuisance mosquito species and known vector of arboviruses such as dengue, chikungunya, and Zika. Despite their cosmopolitan distribution around the world, there is a paucity of accurate predictive models based on rates of development at different temperatu...

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Bibliographic Details
Published in:Journal of the American Mosquito Control Association 2019-12, Vol.35 (4), p.249-257
Main Authors: Healy, Kristen B, Dugas, Emily, Fonseca, Dina M
Format: Article
Language:English
Subjects:
Aedes - growth & development
Aedes albopictus
Animals
Aquatic insects
Colonies
Cosmopolitan species
Dengue fever
Diet
Drinking water
Eggs
Food
Hatching
Human diseases
Insect control
Laboratories
Larval development
Larval stage
Mineral nutrients
Model testing
Models, Biological
Mortality
Mosquito Control
Mosquito Vectors - growth & development
Mosquitoes
New Jersey
Nutrients
Ovum - physiology
Photoperiods
Population studies
Populations
Prediction models
Predictive control
Seasons
Temperature effects
Variation
Vector-borne diseases
Yeast
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Summary:, the Asian tiger mosquito, is an important nuisance mosquito species and known vector of arboviruses such as dengue, chikungunya, and Zika. Despite their cosmopolitan distribution around the world, there is a paucity of accurate predictive models based on rates of development at different temperatures (degree-day models). These types of models can benefit mosquito control districts by predicting when to target early-season larval development, when populations are likely at their lowest levels. In this study, we determined the effect of temperature and nutrient levels on the development rates and male and female adult size of 2 populations: one field-collected, the other a 20-year-old lab colony. We found relatively small differences in the effects of temperature and nutrient levels between populations. Data from these studies were used to create a predictive degree-day model, which when tested in New Jersey correlated with field observations of early-season field populations of . While other important factors, such as day length and fluctuating temperatures, should be evaluated, data from this study will contribute to the development of operational strategies to effectively time early-season larviciding against this species.
ISSN:8756-971X
1943-6270
DOI:10.2987/19-6841.1