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The hydra effect in a cannibalistic reaction–diffusion predator–prey model: Influence of space-time white noise on population dynamics

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  • Pei, Yansong
  • Li, Li

Abstract

In ecological systems, the Hydra effect –a counterintuitive phenomenon in which higher mortality rates lead to increased population size –has been extensively documented in both theoretical and empirical studies. This manuscript develops a stochastic reaction–diffusion predator–prey model that incorporates space–time white noise to account for stochastic disturbances in ecosystems, in which the predator exhibits cannibalistic behavior. The theoretical analysis derives the conditions under which the Hydra effect occurs in the deterministic model and establishes the well-posedness of mild solutions in the stochastic model. Furthermore, key conditions for population persistence and extinction are identified, demonstrating that high levels of space–time white noise can lead to predator population extinction. Numerical simulations validate the theoretical findings and reveal that increasing environmental noise intensity causes the minimum mortality rate triggering the Hydra effect to first rise and then fall. This finding is consistent with the Intermediate Disturbance Hypothesis, suggesting that moderate environmental disturbances enhance population adaptability and survival strategies, providing significant insights for population dynamics and species management.

Suggested Citation

  • Pei, Yansong & Li, Li, 2025. "The hydra effect in a cannibalistic reaction–diffusion predator–prey model: Influence of space-time white noise on population dynamics," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 238(C), pages 342-360.
  • Handle: RePEc:eee:matcom:v:238:y:2025:i:c:p:342-360
    DOI: 10.1016/j.matcom.2025.06.006
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    References listed on IDEAS

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    1. Anjos, Lucas dos & Costa, Michel Iskin da S. & Almeida, Regina C., 2020. "Characterizing the existence of hydra effect in spatial predator-prey models and the influence of functional response types and species dispersal," Ecological Modelling, Elsevier, vol. 428(C).
    2. Song, Liwen & Tang, Sanyi & Xiang, Changcheng & Cheke, Robert A. & He, Sha, 2023. "Modelling and bifurcation analysis of spatiotemporal hormetic effects on pest control," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).
    3. Ahmed, Nauman & Yasin, Muhammad Waqas & Baleanu, Dumitru & Tintareanu-Mircea, Ovidiu & Iqbal, Muhammad Sajid & Akgül, Ali, 2024. "Pattern Formation and analysis of reaction–diffusion ratio-dependent prey–predator model with harvesting in predator," Chaos, Solitons & Fractals, Elsevier, vol. 186(C).
    4. Chunge Zhong & Wen-Jie Jiang & Yingjia Yao & Zexu Li & You Li & Shengnan Wang & Xiaofeng Wang & Wenjuan Zhu & Siqi Wu & Jing Wang & Shuangshuang Fan & Shixin Ma & Yeshu Liu & Han Zhang & Wenchang Zhao, 2024. "CRISPR screens reveal convergent targeting strategies against evolutionarily distinct chemoresistance in cancer," Nature Communications, Nature, vol. 15(1), pages 1-21, December.
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