Derivation of predator functional responses using a mechanistic approach in a natural system [article]

Andréanne Beardsell, Dominique Gravel, Dominique Berteaux, Gilles Gauthier, Jeanne Clermont, Vincent Careau, Nicolas Lecomte, Claire-Cécile Juhasz, Pascal Royer-Boutin, Joël Bêty
2020 bioRxiv   pre-print
The functional response is central to our understanding of any predator-prey system as it establishes the link between trophic levels. Most functional responses are evaluated using phenomenological models linking predator acquisition rate and prey density. However, our ability to measure functional responses using such an approach is often limited in natural systems and the use of inaccurate functions can profoundly affect the outcomes of population and community models. Here, we develop a
more » ... nistic model based on extensive data to assess the functional response of a generalist predator, the arctic fox (<|>Vulpes lagopus</|>), to various tundra prey species (lemmings and the nests of geese, passerines and sandpipers). We found that predator acquisition rates derived from the mechanistic model were consistent with field observations. Although sigmoidal functional responses were previously used to model fox-prey population dynamics, none of our simulations resulted in a saturating response in all prey species. Our results highlight the importance of predator searching components in predator-prey interactions, especially predator speed, while predator acquisition rates were not limited by handling processes. By combining theory with field observations, our study provides support that predator acquisition rate is not systematically limited at the highest prey densities observed in a natural system. We reinforce the idea that functional response categories, typically types I, II, and III, should be considered as particular cases along a continuum. Specific functions derived with a mechanistic approach for a range of densities observed in natural communities should improve our ability to model and understand predator-prey systems.
doi:10.1101/2020.11.04.368670 fatcat:dtvlfd62dvgqxbm2n6tnaxyi54