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Variable prey development time suppresses predator-prey cycles and enhances stability.

James T Cronin1, John D Reeve2, Dashun Xu3

  • 1Department of Biological Sciences, Louisiana State University, Baton Rouge, Louisiana, 70803, USA.

Ecology Letters
|January 19, 2016
PubMed
Summary

Developmental variability in host populations enhances predator-prey interaction stability. Increased variation in host development times reduced population fluctuations and prevented extinctions in experimental ecosystems.

Keywords:
Age-structured populationsdevelopmental variabilityhost-parasitoid microcosmsintraspecific trait variabilitypopulation cyclespredator-prey stability

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Area of Science:

  • Ecology
  • Population Dynamics
  • Theoretical Ecology

Background:

  • Theoretical models suggest age structure and developmental time variability influence predator-prey dynamics.
  • Experimental evidence for these theoretical predictions remains scarce.

Purpose of the Study:

  • To experimentally test if increased variability in host development time promotes host-parasitoid interaction stability.
  • To investigate the impact of developmental variability on population cycles and extinction risk.

Main Methods:

  • A host-parasitoid microcosm experiment was established.
  • Two treatments were applied: Normal variance and High variance in host development time.
  • Population dynamics and insect abundances were monitored and compared.

Main Results:

  • High variance in host development significantly reduced variability in insect abundances (18-24%).
  • Periodicity in host-parasitoid population dynamics was eliminated under high variance conditions.
  • Simulation models confirmed that high developmental variability conferred stability and prevented host extinction.

Conclusions:

  • Developmental variability is a critical factor in predator-prey population dynamics.
  • Increased developmental variability can stabilize host-parasitoid interactions.
  • This finding has potential applications in biological pest management programs.