Deterministic and stochastic plankton dynamics: Effects of contamination, refuge, and additional food sources

Studying plankton systems encompasses different interests, including understanding ecological cycles and developing sustainable strategies in aquaculture research regarding food security. Zooplankton farming is economically valuable, and its production may depend primarily on the availability of phytoplankton and other external food sources. However, diverse factors may affect overall phytoplankton–zooplankton interactions. For example, phytoplankton’s defense mechanisms, such as finding refuge and releasing toxins or low phytoplankton’s sustainable environments, can decrease zooplankton populations. Another critical factor is the adverse effects of pollution on plankton systems, which are more frequently present in water bodies. Still, zooplankton may survive harsh conditions if present pollutants are in low concentrations and external sources, including animal waste, are available. The partial understanding of these trophic interactions depends on initial assumptions, and using stochastic approaches may reduce the gap between deterministic mathematical outcomes and reality. In this work, we have mathematically described a planktonic system under the above assumptions using a deterministic model as well as its stochastic version. Our findings suggest that zooplankton growth is possible under polluted environments by providing them with external food sources, complementing phytoplankton availability. However, in these circumstances, random external environmental factors may cause the phytoplankton population to collapse. Through stochastic numerical experiments, we estimate which possible scenarios are more likely to induce phytoplankton extinction in these plankton systems. • Sustaining plankton systems requires both deterministic and stochastic models. • Zooplankton extra food in polluted areas boosts aquaculture sustainability. • The likelihood of phytoplankton collapse from environmental changes is estimated. • Plankton sustainability relies on the refuge-seeking behavior of phytoplankton.

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Publication Details

Journal
Ecological Complexity
Published
2025-02-21
DOI
https://doi.org/10.1016/j.ecocom.2025.101117
Citations
4
Primary Topic
Ecosystem dynamics and resilience
Type
article
Field-Weighted Citation Impact
4.42

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article

Deterministic and stochastic plankton dynamics: Effects of contamination, refuge, and additional food sources

Bapin Mondal, Pankaj Kumar Tiwari, Pablo Venegas Garcia, Hao Wang A et al.
4 citations
Ecological Complexity
Ecosystem dynamics and resilience
4.42
article

Deterministic and stochastic plankton dynamics: Effects of contamination, refuge, and additional food sources

Bapin Mondal, Pankaj Kumar Tiwari, Pablo Venegas Garcia, Hao Wang A, Sayan Mandal
article en
4 citations

Abstract

Studying plankton systems encompasses different interests, including understanding ecological cycles and developing sustainable strategies in aquaculture research regarding food security. Zooplankton farming is economically valuable, and its production may depend primarily on the availability of phytoplankton and other external food sources. However, diverse factors may affect overall phytoplankton–zooplankton interactions. For example, phytoplankton’s defense mechanisms, such as finding refuge and releasing toxins or low phytoplankton’s sustainable environments, can decrease zooplankton populations. Another critical factor is the adverse effects of pollution on plankton systems, which are more frequently present in water bodies. Still, zooplankton may survive harsh conditions if present pollutants are in low concentrations and external sources, including animal waste, are available. The partial understanding of these trophic interactions depends on initial assumptions, and using stochastic approaches may reduce the gap between deterministic mathematical outcomes and reality. In this work, we have mathematically described a planktonic system under the above assumptions using a deterministic model as well as its stochastic version. Our findings suggest that zooplankton growth is possible under polluted environments by providing them with external food sources, complementing phytoplankton availability. However, in these circumstances, random external environmental factors may cause the phytoplankton population to collapse. Through stochastic numerical experiments, we estimate which possible scenarios are more likely to induce phytoplankton extinction in these plankton systems. • Sustaining plankton systems requires both deterministic and stochastic models. • Zooplankton extra food in polluted areas boosts aquaculture sustainability. • The likelihood of phytoplankton collapse from environmental changes is estimated. • Plankton sustainability relies on the refuge-seeking behavior of phytoplankton.

Ecological ComplexityVol. 61
University of Alberta (CA), Sardar Vallabhbhai National Institute of Technology Surat (IN), Tilka Manjhi Bhagalpur University (IN)
Natural Sciences and Engineering Research Council of Canada
Zero hunger
Openalex Percentile: Top 7%
Ecosystem dynamics and resilience
4.42
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