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The combined effects of pathogens and predators on insect outbreaks

Author

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  • Greg Dwyer

    (University of Chicago)

  • Jonathan Dushoff

    (Princeton University)

  • Susan Harrell Yee

    (University of Chicago)

Abstract

The economic damage caused by episodic outbreaks of forest-defoliating insects has spurred much research1, yet why such outbreaks occur remains unclear2. Theoretical biologists argue that outbreaks are driven by specialist pathogens or parasitoids, because host–pathogen and host–parasitoid models show large-amplitude, long-period cycles resembling time series of outbreaks3,4. Field biologists counter that outbreaks occur when generalist predators fail, because predation in low-density defoliator populations is usually high enough to prevent outbreaks5,6,7,8. Neither explanation is sufficient, however, because the time between outbreaks in the data is far more variable than in host–pathogen and host–parasitoid models1,2, and far shorter than in generalist-predator models9,10,11. Here we show that insect outbreaks can be explained by a model that includes both a generalist predator and a specialist pathogen. In this host–pathogen–predator model, stochasticity causes defoliator densities to fluctuate erratically between an equilibrium maintained by the predator, and cycles driven by the pathogen12,13. Outbreaks in this model occur at long but irregular intervals, matching the data. Our results suggest that explanations of insect outbreaks must go beyond classical models to consider interactions among multiple species.

Suggested Citation

  • Greg Dwyer & Jonathan Dushoff & Susan Harrell Yee, 2004. "The combined effects of pathogens and predators on insect outbreaks," Nature, Nature, vol. 430(6997), pages 341-345, July.
  • Handle: RePEc:nat:nature:v:430:y:2004:i:6997:d:10.1038_nature02569
    DOI: 10.1038/nature02569
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    Cited by:

    1. Debasis Mukherjee, 2022. "Stochastic Analysis of an Eco-Epidemic Model with Biological Control," Methodology and Computing in Applied Probability, Springer, vol. 24(4), pages 2539-2555, December.
    2. Juan Segura & Frank M Hilker & Daniel Franco, 2017. "Population control methods in stochastic extinction and outbreak scenarios," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-22, February.
    3. Wu, Haoran, 2024. "ecode: An R package to investigate community dynamics in ordinary differential equation systems," Ecological Modelling, Elsevier, vol. 491(C).
    4. Cobbold, Christina A. & Roland, Jens & Lewis, Mark A., 2009. "The impact of parasitoid emergence time on host–parasitoid population dynamics," Theoretical Population Biology, Elsevier, vol. 75(2), pages 201-215.
    5. Abbott, Karen C. & Morris, William F. & Gross, Kevin, 2008. "Simultaneous effects of food limitation and inducible resistance on herbivore population dynamics," Theoretical Population Biology, Elsevier, vol. 73(1), pages 63-78.
    6. Eduardo V. Trumper & Arianne J. Cease & María Marta Cigliano & Fernando Copa Bazán & Carlos E. Lange & Héctor E. Medina & Rick P. Overson & Clara Therville & Martina E. Pocco & Cyril Piou & Gustavo Za, 2022. "A Review of the Biology, Ecology, and Management of the South American Locust, Schistocerca cancellata (Serville, 1838), and Future Prospects," Post-Print hal-03880605, HAL.
    7. Roy, Manojit & Holt, Robert D., 2008. "Effects of predation on host–pathogen dynamics in SIR models," Theoretical Population Biology, Elsevier, vol. 73(3), pages 319-331.

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