A Model System to Assess the Effect to Planktonic Predator-Prey Dynamics Under Varying Microplastic Concentrations

Main Article Content

Sarina Mae Bien Arciga
David Montagnes

Abstract

Microplastics, small plastic debris known to affect a wide range of organisms, may affect the growth rate of prey populations and subsequently influence predator populations. However, the mechanisms underlying their effects on predator and prey population dynamics have not been fully explored. This study aimed to evaluate these effects in planktonic organisms employing a modeling approach with parameters derived from the ciliates, Paramecium and Didinium. The Independent Response model was parameterized to include a function describing the prey growth rate's response to increasing microplastic concentrations. By varying the rate (a) at which prey growth responded to different microplastic concentrations and running the model to steady states, the study revealed significant shifts in predator-prey dynamics. Low microplastic levels maintained constant predator and prey populations, while intermediate levels caused a gradual decline in predators, leading to extinction at high microplastic concentrations. Consequently, prey populations increased to their carrying capacity. This phase shift, from top-down control by predators to prey populations reaching carrying capacity, could have profound implications for food web dynamics. The existence of alternative steady states in the population was influenced by both the rate (a) of prey response and microplastic concentration. Furthermore, the sigmoidal relationship between prey growth rate and microplastic levels also had a substantial influence on the modeled dynamics of the predator-prey system. The model suggests that in the natural ecosystems, the removal of predators from the system due to perturbations can cause a decrease in top-down control, thereby causing an increase in prey populations to carrying capacity and an alteration of the overall food web dynamics.

Article Details

How to Cite
Arciga, S. M. B., & Montagnes, D. . (2025). A Model System to Assess the Effect to Planktonic Predator-Prey Dynamics Under Varying Microplastic Concentrations. Journal of Fisheries and Environment, 49(1), 12–21. retrieved from https://li01.tci-thaijo.org/index.php/JFE/article/view/263985
Section
Research Article

References

LITERATURE CITED

Allen, P.M. 1976. Evolution, population dynamics, and stability. Proceedings of the Natural Academy of the Sciences of the United States of America 73(3): 665–668. DOI: 10.1073/pnas.73.3.665.

Allesina, S. and M. Pascual. 2008. Network structure, predator - prey modules, and stability in large food webs. Theoretical Ecology 1(1): 55–64.

Baas Becking, L.G.M. 1937. On the Analysis of Sigmoid Curves. Stanford University Publication Biological Sciences 8: 42–59.

Baum, J.K. and B. Worm. 2009. Cascading top-down effects of changing oceanic predator abundances. Journal of Animal Ecology 78(4): 699–714. DOI: 10.1111/j.1365-2656.2009.01531.x.

Beisner, B.E. 2012. Alternative stable states. Nature education knowledge. https://www.nature.com/scitable/knowledge/library/alternative-stable-states-78274277/. Cited 25 Feb 2022.

Carrillo, M. and J.M. González. 2002. A new approach to modelling sigmoidal curves. Technological Forecasting and Social Change 69(3): 233–241.

Chakraborty, S., S. Pal and N. Bairagi. 2012. Predator-prey interaction with harvesting: mathematical study with biological ramifications. Applied Mathematical Modelling 36(9): 4044–4059. DOI: 10.1016/j.apm.2011.11.029.

Cole, M., P. Lindeque, E. Fileman, C. Halsband, R. Goodhead, J. Moger and T.S. Galloway. 2013. Microplastic ingestion by zooplankton. Environmental Science and Technology 47(12): 6646–6655.

Critchell, K. and M.O. Hoogenboom. 2018. Effects of microplastic exposure on the body condition and behaviour of planktivorous reef fish (Acanthochromis polyacanthus). PloS One 13(3): e0193308. DOI: 10.1371/journal.pone.0193308.

Duis, K. and A. Coors. 2016. Microplastics in the aquatic and terrestrial environment: sources (with a specific focus on personal care products), fate and effects. Environmental Sciences Europe 28(1): 1–25. DOI: 10.1186/s12302-015-0069-y.

Everaert, G., L. Van Cauwenberghe, M. De Rijcke, A.A. Koelmans, J. Mees, M. Vandegehuchte and C.R. Janssen. 2018. Risk assessment of microplastics in the ocean: Modelling approach and first conclusions. Environmental Pollution 242: 1930–1938. DOI: 10.1016/j.envpol.2018.07.069.

Fenton, A., M. Spencer and D.J.S. Montagnes. 2010. Parameterising variable assimilation efficiency in predator-prey models. Oikos 119(6): 1000–1010.

Galloway, T.S. and C.N. Lewis. 2016. Marine microplastics spell big problems for future generations. Proceedings of the National Academy of Sciences of the United States of America 113(9): 2331–2333. DOI: 10.1073/pnas.1600715113.

Gause, G.F., N.P. Smaragdova and A.A. Witt. 1936. Further studies of interaction between predators and prey. Journal of Animal Ecology 5(1): 1–18.

Hendriks, A.J., J.L.M. Maas- Diepeveen, E.H.W. Heugens and N.M. van Straalen. 2005. Meta-analysis of intrinsic rates of increase and carrying capacity of populations affected by toxic and other stressors. Environmental Toxicology and Chemistry 24(9): 2267–2277. DOI: 10.1897/05-122.1.

Huang, Q., H. Wang and M.A. Lewis. 2015. The impact of environmental toxins on predator-prey dynamics. Journal of Theoretical Biology 378: 12–30. DOI: 10.1016/j.jtbi.2015.04.019.

Huang, Q., Y. Lin, Q. Zhong, F. Ma and Y. Zhang. 2020. The impact of microplastic particles on population dynamics of predator and prey: Implication of the Lotka-Volterra Model. Scientific Reports 10(4500): 1–10. DOI: 10.1038/s41598-020-61414-3.

Lenz, R., K. Enders and T.G. Nielsen. 2016. Microplastic exposure studies should be environmentally realistic. Proceedings of the National Academy of Sciences 113(29): E4121–E4122. DOI: 10.1073/pnas.1606615113.

Leroux, S.J. and M. Loreau. 2015. Theoretical perspectives on bottom-up and top-down interactions across ecosystems. In: Trophic Ecology: Bottom-Up and Top-Down Interactions Across Aquatic and Terrestrial Systems (eds. T.C. Hanley and K.J. La Pierre), pp. 3–28. Cambridge University Press, Cambridge, UK.

Li, J. and D.J.S. Montagnes. 2015. Restructuring fundamental predator-prey models by recognising prey-dependent conversion efficiency and mortality rates. Protist 166(2): 211–223.

Luckinbill, L.S. 1973. Coexistence in laboratory populations of Paramecium Aurelia and Its predator Didinium Nasutum. Ecology 54(6): 1320–1327. DOI: 10.2307/1934194.

Lynam, C.P., M. Llope, C. Möllmann, P. Helaouët, G.A. Bayliss-Brown and N.C. Stenseth. 2017. Interaction between top-down and bottom-up control in marine food webs. Proceedings of the National Academy of Sciences of the United States of America 114(8): 1952–1957. DOI: 10.1073/pnas.1621037114.

Montagnes, D.J.S. and A. Fenton. 2012. Prey-abundance affects zooplankton assimilation efficiency and the outcome of biogeochemical models. Ecological Modelling 243, 1–7. DOI: 10.1016/j.ecolmodel.2012.05.006.

Prata, J.C., J.P. da Costa, I. Lopes, A.C. Duarte and T. Rocha-Santos. 2019. Effects of microplastics on microalgae populations: A critical review. Science of the Total Environment 665: 400–405.

Rao, M. and T. Larsen. 2010. Ecological consequences of extinction. In: Lessons in Conservation, Volume 3 (eds. E. Sterling and N. Bynum), pp. 25–53. Network of Conservation Educators and Practitioners, Center for Biodiversity and Conservation, American Museum of Natural History, New York, USA.

Ritchie, E.G. and C.N. Johnson. 2009. Predator interactions, mesopredator release and biodiversity conservation. Ecology Letters 12(9): 982–998. DOI: 10.1111/j.1461-0248.2009.01347.x.

Rosenzweig, M.L. and R.H. MacArthur. 1963. Graphical representation and stability conditions of predator-prey interactions. American Society of Naturalists 97(895): 209–223.

Salt, G.W. 1974. Predator and prey densities as controls of the rate of capture by the predator Didinium Nasutum. Ecology 55(2): 434–439.

Sun, Y., W. Xu, Q. Gu, Y. Chen, Q. Zhou, L. Zhang, L. Gu, Y. Huang, Y. Zhou and K. Lyu. 2019. Small-sized microplastics negatively affect rotifers: changes in the key life-history traits and rotifer − Phaeocystis population dynamics. Environmental Science and Technology 53: 9241–9251.

Turchin P. 2003. Complex Population Dynamics: A Theoretical/ Empirical Synthesis. Princeton University Press, New Jersey, USA. 450 pp.

Veilleux, B.G. 1979. An analysis of the predatory interaction between Paramecium and Didinium. British Ecological Society 48(3): 787–803.

Winship, L.J., C. Rounds and P.K. Hepler. 2017. Perturbation analysis of calcium, alkalinity and secretion during growth of Lily pollen tubes. Plants 6(1): 859–865. DOI: 10.3390/plants6010003.

Ziajahromi, S., A. Kumar, P.A. Neale and F.D.L. Leusch. 2018. Environmentally relevant concentrations of polyethylene microplastics negatively impact the survival, growth and emergence of sediment-dwelling invertebrates. Environmental Pollution 236: 425–431.