Modelling diapause in mosquito population growth.

Area of Science:

• Ecology
• Mathematical Biology
• Entomology

Background:

• Diapause is a crucial survival mechanism for invertebrates in response to adverse environmental conditions.
• Understanding diapause dynamics is key to managing insect populations, particularly disease vectors like mosquitoes.

Purpose of the Study:

• To develop a novel mathematical modeling framework to investigate the impact of diapause on seasonal population dynamics.
• To analyze mosquito population growth considering diapause as a distinct developmental stage.

Main Methods:

• Formulation of two delay differential equation (DDE) models for mosquito populations with immature or adult diapause stages.
• Unification into a single DDE model to analyze well-posedness and stability of solutions.
• Simulation of seasonal population abundances for temperate mosquito species.

Main Results:

• Diapause plays an essential role in mosquito population persistence.
• Interventions targeting mosquitoes during diapause are less effective in preventing subsequent peak abundances.
• Culling mosquitoes during their normal growth periods is significantly more efficient for reducing outbreak sizes.

Conclusions:

• The developed DDE modeling framework provides insights into diapause-induced variations in mosquito population dynamics.
• Management strategies should prioritize interventions during active growth phases for maximum impact on mosquito populations.
• This research can inform spatiotemporal distribution predictions and control efforts for various mosquito species.