Research article Special Issues

Numerical treatment for time fractional order phytoplankton-toxic phytoplankton-zooplankton system

  • Received: 24 July 2023 Revised: 14 December 2023 Accepted: 19 December 2023 Published: 05 January 2024
  • MSC : 26A33, 37N30

  • The study of time-fractional problems with derivatives in terms of Caputo is a recent area of study in biological models. In this article, fractional differential equations with phytoplankton-toxic phytoplankton-zooplankton (PTPZ) system were solved using the Laplace transform method (LTM), the Adomain decomposition method (ADM), and the differential transform method (DTM). This study demonstrates the good agreement between the results produced by using the specified computational techniques. The numerical results displayed as graphs demonstrate the accuracy of the computational methods. The approaches that have been established are thus quite relevant and suitable for solving nonlinear fractional models. Meanwhile, the impact of changing the fractional order of a time derivative and time $ t $ on populations of phytoplankton, toxic-phytoplankton, and zooplankton has been examined using graphical representations. Furthermore, the stability analysis of the LTM approach has been discussed.

    Citation: D. Priyadarsini, P. K. Sahu, M. Routaray, D. Chalishajar. Numerical treatment for time fractional order phytoplankton-toxic phytoplankton-zooplankton system[J]. AIMS Mathematics, 2024, 9(2): 3349-3368. doi: 10.3934/math.2024164

    Related Papers:

  • The study of time-fractional problems with derivatives in terms of Caputo is a recent area of study in biological models. In this article, fractional differential equations with phytoplankton-toxic phytoplankton-zooplankton (PTPZ) system were solved using the Laplace transform method (LTM), the Adomain decomposition method (ADM), and the differential transform method (DTM). This study demonstrates the good agreement between the results produced by using the specified computational techniques. The numerical results displayed as graphs demonstrate the accuracy of the computational methods. The approaches that have been established are thus quite relevant and suitable for solving nonlinear fractional models. Meanwhile, the impact of changing the fractional order of a time derivative and time $ t $ on populations of phytoplankton, toxic-phytoplankton, and zooplankton has been examined using graphical representations. Furthermore, the stability analysis of the LTM approach has been discussed.



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    [1] S. Roy, The coevolution of two phytoplankton species on a single resource: Allelopathy as a pseudo-mixotrophy, Theor. Popul. Biol., 75 (2009), 68–75. https://doi.org/10.1016/j.tpb.2008.11.003 doi: 10.1016/j.tpb.2008.11.003
    [2] Y. Lv, Y. Pei, S. Gao, C. Li, Harvesting of a phytoplankton-zooplankton model, Nonlinear Anal.-Real, 11 (2010), 3608–3619. https://doi.org/10.1016/j.nonrwa.2010.01.007 doi: 10.1016/j.nonrwa.2010.01.007
    [3] S. J. Jang, J. Baglama, J. Rick, Nutrient-phytoplankton-zooplankton models with a toxin, Math. Comput. Model., 43 (2006), 105–118. https://doi.org/10.1016/j.mcm.2005.09.030 doi: 10.1016/j.mcm.2005.09.030
    [4] B. K. Singh, J. Chattopadhyay, S. Sinha, The role of virus infection in a simple phytoplankton zooplankton system, J. Theor. Biol., 231 (2004), 153–166. https://doi.org/10.1016/j.jtbi.2004.06.010 doi: 10.1016/j.jtbi.2004.06.010
    [5] F. Zhang, J. Sun, W. Tian, Spatiotemporal pattern selection in a nontoxic-phytoplankton-toxic-phytoplankton-zooplankton model with toxin avoidance effects, Appl. Math. Comput., 423 (2022), 127007. https://doi.org/10.1016/j.amc.2022.127007 doi: 10.1016/j.amc.2022.127007
    [6] D. T. Dimitrov, H. V. Kojouharov, Analysis and numerical simulation of phytoplankton-nutrient systems with nutrient loss, Math. Comput. Simul., 70 (2005), 33–43. https://doi.org/10.1016/j.matcom.2005.03.001 doi: 10.1016/j.matcom.2005.03.001
    [7] M. Javidi, B. Ahmad, Dynamic analysis of time fractional order phytoplankton-toxic phytoplankton-zooplankton system, Ecol. Model., 318 (2015), 8–18. https://doi.org/10.1016/j.ecolmodel.2015.06.016 doi: 10.1016/j.ecolmodel.2015.06.016
    [8] P. Veeresha, L. Akinyemi, Fractional approach for a mathematical model of Phytoplankton-toxic phytoplankton-zooplankton system with Mittag-Leffler kernel, Int. J. Biomath., 16 (2023), 2250090. https://doi.org/10.1142/S1793524522500905 doi: 10.1142/S1793524522500905
    [9] T. Sardar, S. Rana, S. Bhattacharya, K. Al-Khaled, J. Chattopadhyay, A generic model for a single strain mosquito-transmitted disease with memory on the host and the vector, Math. Biosci., 263 (2015), 18–36. https://doi.org/10.1016/j.mbs.2015.01.009 doi: 10.1016/j.mbs.2015.01.009
    [10] W. Liu, K. Chen, Chaotic behavior in a new fractional-order love triangle system with competition, J. Appl. Anal. Comput., 5 (2015), 103–113. https://doi.org/10.11948/2015009 doi: 10.11948/2015009
    [11] M. Javidi, B. Ahmad, A study of a fractional-order cholera model, Appl. Math. Inform. Sci., 8 (2014), 2195. https://doi.org/10.12785/amis/080513 doi: 10.12785/amis/080513
    [12] A. M. S. Mahdy, A numerical method for solving the nonlinear equations of Emden-Fowler models, J. Ocean Eng. Sci., 2022. https://doi.org/10.1016/j.joes.2022.04.019 doi: 10.1016/j.joes.2022.04.019
    [13] K. A. Gepreel, M. Higazy, A. M. S. Mahdy, Optimal control, signal flow graph, and system electronic circuit realization for nonlinear Anopheles mosquito model, Int. J. Mod. Phys. C, 31 (2020), 2050130. https://doi.org/10.1142/S0129183120501302 doi: 10.1142/S0129183120501302
    [14] P. A. Lynn, P. A. Lynn, The Laplace transform and the z-transform, Electron. Signal. Syst., 1986,225–272.
    [15] W. Alharbi, A. Shater, A. Ebaid, C. Cattani, M. Areshi, M. Jalal, et al., Communicable disease model in view of fractional calculus, AIMS Math., 8 (2023), 10033–10048. https://doi.org/10.3934/math.2023508 doi: 10.3934/math.2023508
    [16] E. A. Algehyne, M. S. Aldhabani, M. Areshi, E. R. El-Zahar, A. Ebaid, H. K. Al-Jeaid, A proposed application of fractional calculus on time dilation in special theory of relativity, Mathematics, 11 (2023), 3343. https://doi.org/10.3390/math11153343 doi: 10.3390/math11153343
    [17] N. A. Sheikh, M. Jamil, D. L. C. Ching, I. Khan, M. Usman, K. S. Nisar, A generalized model for quantitative analysis of sediments loss: A Caputo time fractional model, J. King Saud Univ.-Sci., 33 (2021), 101179. https://doi.org/10.1016/j.jksus.2020.09.006 doi: 10.1016/j.jksus.2020.09.006
    [18] D. Baleanu, F. A. Ghassabzade, J. J. Nieto, A. Jajarmi, On a new and generalized fractional model for a real cholera outbreak, Alex. Eng. J., 61 (2022), 9175–9186. https://doi.org/10.1016/j.aej.2022.02.054 doi: 10.1016/j.aej.2022.02.054
    [19] S. S. Ray, R. K. Bera, An approximate solution of a nonlinear fractional differential equation by Adomian decomposition method, Appl. Math. Comput., 167 (2005), 561–571. https://doi.org/10.1016/j.amc.2004.07.020 doi: 10.1016/j.amc.2004.07.020
    [20] M. H. Ifeyinwa, Mathematical modeling of the transmission dynamics of syphilis disease using differential transformation method, Math. Model. Appl., 5 (2020), 47–54. https://doi.org/10.11648/J.MMA.20200502.11 doi: 10.11648/J.MMA.20200502.11
    [21] R. V. Kumar, I. E. Sarris, G. Sowmya, A. Abdulrahman, Iterative solutions for the nonlinear heat transfer equation of a convective-radiative annular fin with power law temperature-dependent thermal properties, Symmetry, 15 (2023), 1204. https://doi.org/10.3390/sym15061204 doi: 10.3390/sym15061204
    [22] G. Sowmya, F. Gamaoun, A. Abdulrahman, R. S. V. Kumar, B. C. Prasannakumara, Significance of thermal stress in a convective-radiative annular fin with magnetic field and heat generation: Application of DTM and MRPSM, Propuls. Power Res., 11 (2022), 527–543. https://doi.org/10.1016/j.jppr.2022.11.001 doi: 10.1016/j.jppr.2022.11.001
    [23] F. Gamaoun, N. M. Said, R. Makki, R. V. Kumar, G. Sowmya, B. C. Prasannakumara, et al., Energy transfer of a fin wetted with ZnO-SAE $50$ nanolubricant: An application of $\alpha$-parameterized differential transform method, Case Stud. Therm. Eng., 40 (2022), 102501. https://doi.org/10.1016/j.csite.2022.102501 doi: 10.1016/j.csite.2022.102501
    [24] M. Routaray, P. K. Sahu, D. N. Chalishajar, The fuzzy differential transform method for the solution of the system of fuzzy integro-differential equations arising in biological model, Mathematics, 11 (2023), 3840. https://doi.org/10.3390/math11183840 doi: 10.3390/math11183840
    [25] M. Banerjee, E. Venturino, A phytoplankton-toxic phytoplankton-zooplankton model, Ecol. Complex., 8 (2011), 239–248.
    [26] E. Ahmed, A. S. Elgazzar, On fractional order differential equations model for nonlocal epidemics, Physica A, 379 (2007), 607–614. https://doi.org/10.1016/j.physa.2007.01.010 doi: 10.1016/j.physa.2007.01.010
    [27] J. E. Truscott, J. Brindley, Ocean plankton populations as excitable media, B. Math. Biol., 56 (1994), 981–998. https://doi.org/10.1016/S0092-8240(05)80300-3 doi: 10.1016/S0092-8240(05)80300-3
    [28] T. Gao, X. Meng, Stability and Hopf bifurcation of a delayed diffusive phytoplankton-zooplankton-fish model with refuge and two functional responses, AIMS Math., 8 (2023), 8867–8901. https://doi.org/10.3934/math.2023445 doi: 10.3934/math.2023445
    [29] S. Pleumpreedaporn, C. Pleumpreedaporn, J. Kongson, C. Thaiprayoon, J. Alzabut, W. Sudsutad, Dynamical analysis of nutrient-phytoplankton-zooplankton model with viral disease in phytoplankton species under Atangana-Baleanu-Caputo derivative, Mathematics, 10 (2022), 1578. https://doi.org/10.3390/math10091578 doi: 10.3390/math10091578
    [30] J. Yang, S. Yuan, Dynamics of a toxic producing phytoplankton-zooplankton model with three-dimensional patch, Appl. Math. Lett., 118 (2021), 107146. https://doi.org/10.1016/j.aml.2021.107146 doi: 10.1016/j.aml.2021.107146
    [31] H. Wang, M. Liu, Stationary distribution of a stochastic hybrid phytoplankton-zooplankton model with toxin-producing phytoplankton, Appl. Math. Lett., 101 (2020), 106077. https://doi.org/10.1016/j.aml.2019.106077 doi: 10.1016/j.aml.2019.106077
    [32] K. Agnihotri, H. Kaur, Optimal control of harvesting effort in a phytoplankton-zooplankton model with infected zooplankton under the influence of toxicity, Math. Comput. Simul., 190 (2021), 946–964. https://doi.org/10.1016/j.matcom.2021.06.022 doi: 10.1016/j.matcom.2021.06.022
    [33] Z. Chen, Z. Tian, S. Zhang, C. Wei, The stationary distribution and ergodicity of a stochastic phytoplankton-zooplankton model with toxin-producing phytoplankton under regime switching, Physica A, 537 (2020), 122728. https://doi.org/10.1016/j.physa.2019.122728 doi: 10.1016/j.physa.2019.122728
    [34] S. N. Raw, S. R. Sahu, Strong stability with impact of maturation delay and diffusion on a toxin producing phytoplankton-zooplankton model, Math. Comput. Simul., 210 (2023), 547–570. https://doi.org/10.1016/j.matcom.2023.03.023 doi: 10.1016/j.matcom.2023.03.023
    [35] A. M. Edwards, Adding detritus to a nutrient-phytoplankton-zooplankton model: A dynamical-systems approach, J. Plankton Res., 23 (2001), 389–413. https://doi.org/10.1093/plankt/23.4.389 doi: 10.1093/plankt/23.4.389
    [36] R. R. Sarkar, S. Pal, J. Chattopadhyay, Role of two toxin-producing plankton and their effect on phytoplankton-zooplankton system-a mathematical study supported by experimental findings, BioSystems, 80 (2005), 11–23. https://doi.org/10.1016/j.biosystems.2004.09.029 doi: 10.1016/j.biosystems.2004.09.029
    [37] S. Chakraborty, J. Chattopadhyay, Nutrient-phytoplankton-zooplankton dynamics in the presence of additional food source–-A mathematical study, J. Biol. Syst., 16 (2008), 547–564. https://doi.org/10.1142/S0218339008002654 doi: 10.1142/S0218339008002654
    [38] R. Pal, D. Basu, M. Banerjee, Modelling of phytoplankton allelopathy with Monod-Haldane-type functional response–-A mathematical study, Biosystems, 95 (2009), 243–253. https://doi.org/10.1016/j.biosystems.2008.11.002 doi: 10.1016/j.biosystems.2008.11.002
    [39] M. Caputo, Elasticita e dissipazione, Zanichelli, 1969.
    [40] J. K. Zhou, Differential transformation and its applications for electrical circuits, Huazhong University Press, Wuhan, 1986.
    [41] G. Sowmya, R. S. V. Kumar, Y. Banu, Thermal performance of a longitudinal fin under the influence of magnetic field using Sumudu transform method with pade approximant (STM-PA), J. Appl. Math. Mech., 2023, e202100526. https://doi.org/10.1002/zamm.202100526 doi: 10.1002/zamm.202100526
    [42] A. M. S. Mahdy, K. A. Gepreel, K. Lotfy, A. A. El-Bary, A numerical method for solving the Rubella ailment disease model, Int. J. Mod. Phys. C, 32 (2021), 2150097. https://doi.org/10.1142/S0129183121500972 doi: 10.1142/S0129183121500972
    [43] I. Podlubny, Fractional differential equations: An introduction to fractional derivatives, fractional differential equations, to methods of their solution and some of their applications, Elsevier, 1998.
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