| one publication added to basket [393673] | Effects of predation risk on parasite–host interactions and wildlife diseases
Thieltges, D.W.; Johnson, P.T.J.; van Leeuwen, A.; Koprivnikar, J. (2024). Effects of predation risk on parasite–host interactions and wildlife diseases. Ecology 105(6): e4315. https://dx.doi.org/10.1002/ecy.4315
In: Ecology. Ecological Society of America: Brooklyn, NY. ISSN 0012-9658; e-ISSN 1939-9170, meer
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| Author keywords |
ecology of fear; nonconsumptive effects; parasitism; predation risk; trait-mediated indirect effects |
| Auteurs | | Top |
- Thieltges, D.W., meer
- Johnson, P.T.J.
- van Leeuwen, A., meer
- Koprivnikar, J.
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| Abstract |
Landscapes 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. |
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