Effects of predation risk on parasite–host interactions and wildlife diseases

Author:

Thieltges David W.12ORCID,Johnson Pieter T. J.3ORCID,van Leeuwen Anieke1ORCID,Koprivnikar Janet4ORCID

Affiliation:

1. Department of Coastal Systems NIOZ Royal Netherlands Institute for Sea Research Den Burg The Netherlands

2. Groningen Institute for Evolutionary Life‐Sciences, GELIFES University of Groningen Groningen The Netherlands

3. Department of Ecology and Evolutionary Biology University of Colorado Boulder Colorado USA

4. Department of Chemistry and Biology Toronto Metropolitan University Toronto Ontario Canada

Abstract

AbstractLandscapes of fear can determine the dynamics of entire ecosystems. In response to perceived predation risk, prey can show physiological, behavioral, or morphological trait changes to avoid predation. This in turn can indirectly affect other species by modifying species interactions (e.g., altered feeding), with knock‐on effects, such as trophic cascades, on the wider ecosystem. While such indirect effects stemming from the fear of predation have received extensive attention for herbivore–plant and predator–prey interactions, much less is known about how they alter parasite–host interactions and wildlife diseases. In this synthesis, we present a conceptual framework for how predation risk—as perceived by organisms that serve as hosts—can affect parasite–host interactions, with implications for infectious disease dynamics. By basing our approach on recent conceptual advances with respect to predation risk effects, we aim to expand this general framework to include parasite–host interactions and diseases. We further identify pathways through which parasite–host interactions can be affected, for example, through altered parasite avoidance behavior or tolerance of hosts to infections, and discuss the wider relevance of predation risk for parasite and host populations, including heuristic projections to population‐level dynamics. Finally, we highlight the current unknowns, specifically the quantitative links from individual‐level processes to population dynamics and community structure, and emphasize approaches to address these knowledge gaps.

Funder

National Institutes of Health

David and Lucile Packard Foundation

Natural Sciences and Engineering Research Council of Canada

National Science Foundation

Publisher

Wiley

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