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Eco-epidemiological interactions with predator interference and infection.

Iulia Martina Bulai1, Frank M Hilker2

  • 1Department of Information Engineering, University of Padova, Via Gradenigo, 6/B, 35131, Padova, Italy.

Theoretical Population Biology
|August 26, 2019
PubMed
Summary
This summary is machine-generated.

Predator infection can alter how competition affects predator populations. Disease can shift the predator density response to interference from non-monotonic to monotonically decreasing, impacting ecological dynamics.

Keywords:
Consumer–resource modelDisease transmissionFunctional responseInterference competitionParasite ecologyPredator dependence

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Area of Science:

  • Ecology
  • Epidemiology
  • Mathematical Biology

Background:

  • Predator interference, a form of intraspecific competition for prey, is well-documented across ecological communities.
  • Parasites significantly influence food web structures and dynamics, with increasing recognition of their ecological roles.

Purpose of the Study:

  • To investigate the eco-epidemiological interplay between predator interference and infectious disease using mathematical models.
  • To analyze how disease dynamics modify the relationship between predator interference and predator population density.

Main Methods:

  • Development and analysis of mathematical models for a predator-prey system incorporating predator interference and infectious disease.
  • Examination of both density-dependent and frequency-dependent disease transmission modes.

Main Results:

  • Predator infection can transform the non-monotonic predator density response to interference into a monotonically decreasing one under specific disease parameters (high transmissibility, moderate pathogenicity).
  • For density-dependent transmission, intermediate interference levels can promote disease persistence, while small or large levels lead to disease disappearance.
  • Disease emergence is independent of interference levels in frequency-dependent transmission systems.

Conclusions:

  • Infectious diseases can fundamentally alter the population dynamics of interfering predators.
  • Understanding these eco-epidemiological interactions is crucial for biocontrol strategies and predicting zoonotic disease spread.