Analysis of the Influence of Brood Deaths on Honeybee Population

Many mathematical models using ordinary differential equations (ODEs) have been used to investigate what type of stressors cause honeybee colonies collapse. We propose a simple model of a delayed differential equation system (DDE) to describe the effect of insecticides over brood death rate and its influence over honeybee population dynamics. First, we remember some basic facts for the model with no delay. To analyze our model, we study the equilibria and perform stability and sensitivity analysis of the DDE system. Next, by using the delay time τ as a bifurcation parameter, we find that no Hopf bifurcation could arise as the time lag τ varies within biologically plausible ranges. Numerical simulations with real data are studied for the biological significance of the model.

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Publication Details

Journal
Applied Sciences
Published
2024-12-07
DOI
https://doi.org/10.3390/app142311412
Citations
1
Primary Topic
Insect and Pesticide Research
Type
article
Field-Weighted Citation Impact
0.54
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article

Analysis of the Influence of Brood Deaths on Honeybee Population

Lubin G. Vulkov, Atanas Z. Atanasov, Slavi Georgiev
1 citations
Applied Sciences
Insect and Pesticide Research
0.54
article

Analysis of the Influence of Brood Deaths on Honeybee Population

Lubin G. Vulkov, Atanas Z. Atanasov, Slavi Georgiev
article en
1 citations

Abstract

Many mathematical models using ordinary differential equations (ODEs) have been used to investigate what type of stressors cause honeybee colonies collapse. We propose a simple model of a delayed differential equation system (DDE) to describe the effect of insecticides over brood death rate and its influence over honeybee population dynamics. First, we remember some basic facts for the model with no delay. To analyze our model, we study the equilibria and perform stability and sensitivity analysis of the DDE system. Next, by using the delay time τ as a bifurcation parameter, we find that no Hopf bifurcation could arise as the time lag τ varies within biologically plausible ranges. Numerical simulations with real data are studied for the biological significance of the model.

Applied SciencesVol. 14(23)
Bulgarian Academy of Sciences (BG), Institute of Mathematics and Informatics (BG), Angel Kanchev University of Ruse (BG)
Openalex Percentile: Top 27%
Insect and Pesticide Research
0.54
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