Global dynamics of a discrete two-population model for flour beetle growth

The cannibalistic behavior of <i>Tribolium</i> has been extensively researched, revealing instances of chaotic dynamics in laboratory environments for <i>Tribolium castaneum</i>. The well-established Larvae-Pupae-Adult (LPA) model has been instrumental in understanding the conditions that lead to chaos in flour beetles (genus: <i>Tribolium</i>). In response to new experimental observations showing a decline in the pupae population in <i>Tribolium confusum</i>, we proposed and analyzed a simplified two-stage Larvae-Adult (LA) model. This model integrated the pupae population within the larval group, similar to that of the original LPA model, with development transitions governed by internal rates. By applying the model to time-series data, we demonstrated its effectiveness in capturing short-term population fluctuations in <i>T. confusum</i>. We established the model's positivity and boundedness, perform stability analyses of both trivial and positive steady states, and explored bifurcations and steady-state behavior through numerical simulations. We proved global stability for the extinction and positive steady states and observed additional restrictions required for stability compared to the LPA model. Our results indicated that while chaos was a possible outcome, it was infrequent within the practical parameter ranges observed, with environmental changes related to media and nutrient alterations being more likely triggers.

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Publication Details

Journal
Mathematical Biosciences & Engineering
Published
2025-01-01
DOI
https://doi.org/10.3934/mbe.2025072
Citations
1
Primary Topic
Animal Ecology and Behavior Studies
Type
article
Field-Weighted Citation Impact
1.72
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article

Global dynamics of a discrete two-population model for flour beetle growth

Kamrun Nahar Keya, S. B. Peralta, John D. Nagy, Samantha Brozak et al.
1 citations
Mathematical Biosciences & Engineering
Animal Ecology and Behavior Studies
1.72
article

Global dynamics of a discrete two-population model for flour beetle growth

Kamrun Nahar Keya, S. B. Peralta, John D. Nagy, Samantha Brozak, Yang Kuang, Denise Dengi
article en
1 citations

Abstract

The cannibalistic behavior of <i>Tribolium</i> has been extensively researched, revealing instances of chaotic dynamics in laboratory environments for <i>Tribolium castaneum</i>. The well-established Larvae-Pupae-Adult (LPA) model has been instrumental in understanding the conditions that lead to chaos in flour beetles (genus: <i>Tribolium</i>). In response to new experimental observations showing a decline in the pupae population in <i>Tribolium confusum</i>, we proposed and analyzed a simplified two-stage Larvae-Adult (LA) model. This model integrated the pupae population within the larval group, similar to that of the original LPA model, with development transitions governed by internal rates. By applying the model to time-series data, we demonstrated its effectiveness in capturing short-term population fluctuations in <i>T. confusum</i>. We established the model's positivity and boundedness, perform stability analyses of both trivial and positive steady states, and explored bifurcations and steady-state behavior through numerical simulations. We proved global stability for the extinction and positive steady states and observed additional restrictions required for stability compared to the LPA model. Our results indicated that while chaos was a possible outcome, it was infrequent within the practical parameter ranges observed, with environmental changes related to media and nutrient alterations being more likely triggers.

Mathematical Biosciences & EngineeringVol. 22(8)
Scottsdale Community College (US), Arizona State University (US), University of California, Berkeley (US)
Zero hunger
Openalex Percentile: Top 16%
Animal Ecology and Behavior Studies
1.72
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Global dynamics of a discrete two-population model for flour beetle growth — Kamrun Nahar Keya, S. B. Peralta, et al. · Mathematical Biosciences & Engineering (2025) | TGRS Research Map | TGRS