Текущий выпуск Номер 2, 2026 Том 18

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Результаты поиска по 'coconut plantation dynamics':
Найдено статей: 2
  1. Dhivyadharshini B., Senthamarai R.
    Modeling the indirect impact of rhinoceros beetle control on red palm weevils in coconut plantations
    Компьютерные исследования и моделирование, 2025, т. 17, № 4, с. 737-752

    In this paper, a mathematical model is developed and analyzed to assess the indirect impact of controlling rhinoceros beetles on red palm weevil populations in coconut plantations. The model consists of a system of six non-linear ordinary differential equations (ODEs), capturing the interactions among healthy and infected coconut trees, rhinoceros beetles, red palm weevils, and the oryctes virus. The model ensures biological feasibility through positivity and boundedness analysis. The basic reproduction number $R_0$ is derived using the next-generation matrix method. Both local and global stability of the equilibrium points are analyzed to determine conditions for pest persistence or eradication. Sensitivity analysis identifies the most influential parameters for pest management. Numerical simulations reveal that by effectively controlling the rhinoceros beetle population particularly through infection with the oryctes virus, the spread of the red palm weevil can also be suppressed. This indirect control mechanism helps to protect the coconut tree population more efficiently and supports sustainable pest management in coconut plantations.

    Dhivyadharshini B., Senthamarai R.
    Modeling the indirect impact of rhinoceros beetle control on red palm weevils in coconut plantations
    Computer Research and Modeling, 2025, v. 17, no. 4, pp. 737-752

    In this paper, a mathematical model is developed and analyzed to assess the indirect impact of controlling rhinoceros beetles on red palm weevil populations in coconut plantations. The model consists of a system of six non-linear ordinary differential equations (ODEs), capturing the interactions among healthy and infected coconut trees, rhinoceros beetles, red palm weevils, and the oryctes virus. The model ensures biological feasibility through positivity and boundedness analysis. The basic reproduction number $R_0$ is derived using the next-generation matrix method. Both local and global stability of the equilibrium points are analyzed to determine conditions for pest persistence or eradication. Sensitivity analysis identifies the most influential parameters for pest management. Numerical simulations reveal that by effectively controlling the rhinoceros beetle population particularly through infection with the oryctes virus, the spread of the red palm weevil can also be suppressed. This indirect control mechanism helps to protect the coconut tree population more efficiently and supports sustainable pest management in coconut plantations.

  2. Jenitta E., Senthamarai R.
    A stage-structured delay model for biological control of Rugose Spiraling Whitefly in coconut plantations
    Компьютерные исследования и моделирование, 2026, т. 18, № 2, с. 463-481

    Coconut plantation plays a vital role in the economy and source of living for millions of farmers around the world, especially in tropical regions. The rugose spiraling whitefly is a highly destructive pest causing severe damage to coconut trees and significantly reducing their productivity. The aim of this paper is to develop and analyze a mathematical model that captures the dynamics of whitefly and to highlight the benefits of using biological control to mitigate the impact of pest damaging coconut palms. To be more realistic, a stage-structured model with maturation delay and lag in the implementation of the control measures has been considered in the model. We identify the equilibrium points of the system and perform a stability analysis to assess the system behavior. The numerical simulation of the proposed system is also reported. The findings reveal that introducing the population of parasitoids can effectively reduce the rugose spiraling whitefly population presenting a promising strategy for mitigating the pest’s impact.

    Jenitta E., Senthamarai R.
    A stage-structured delay model for biological control of Rugose Spiraling Whitefly in coconut plantations
    Computer Research and Modeling, 2026, v. 18, no. 2, pp. 463-481

    Coconut plantation plays a vital role in the economy and source of living for millions of farmers around the world, especially in tropical regions. The rugose spiraling whitefly is a highly destructive pest causing severe damage to coconut trees and significantly reducing their productivity. The aim of this paper is to develop and analyze a mathematical model that captures the dynamics of whitefly and to highlight the benefits of using biological control to mitigate the impact of pest damaging coconut palms. To be more realistic, a stage-structured model with maturation delay and lag in the implementation of the control measures has been considered in the model. We identify the equilibrium points of the system and perform a stability analysis to assess the system behavior. The numerical simulation of the proposed system is also reported. The findings reveal that introducing the population of parasitoids can effectively reduce the rugose spiraling whitefly population presenting a promising strategy for mitigating the pest’s impact.

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Журнал включен в базу данных Russian Science Citation Index (RSCI) на платформе Web of Science

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