4.6 Article

Derivation of Predator Functional Responses Using a Mechanistic Approach in a Natural System

期刊

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fevo.2021.630944

关键词

functional response; predation; trophic interactions; tundra; predator-prey interactions; arctic fox (Vulpes lagopus); arctic

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资金

  1. Arctic Goose Joint Venture
  2. Canada Foundation for Innovation
  3. Canada Research Chairs Program
  4. Canadian Wildlife Service
  5. Fonds de recherche du Quebec-Nature et technologies
  6. International Polar Year program of Indian and Northern Affairs Canada
  7. Natural Sciences and Engineering Research Council of Canada
  8. ArcticNet Network of Centers of Excellence
  9. Northern Ecosystem Initiative Program (Environment Canada)
  10. Northern Scientific Training Program
  11. Nunavut Wildlife Management Board
  12. Polar Knowledge Canada
  13. Universite du Quebec a Rimouski
  14. Universite Laval
  15. W. Garfield Weston Foundation

向作者/读者索取更多资源

The functional response is crucial for predator-prey interactions, and accurate evaluation is necessary. The study found that predator acquisition rates were influenced by predator speed, rather than being limited by handling processes. Mechanistic models can generate functional response shapes specific to the range of prey densities observed in the wild.
The functional response is at the core of any predator-prey interactions as it establishes the link between trophic levels. The use of inaccurate functional response can profoundly affect the outcomes of population and community models. Yet most functional responses are evaluated using phenomenological models which often fail to discriminate among functional response shapes and cannot identify the proximate mechanisms regulating predator acquisition rates. Using a combination of behavioral, demographic, and experimental data collected over 20 years, we develop a mechanistic model based on species traits and behavior to assess the functional response of a generalist mammalian predator, the arctic fox (Vulpes lagopus), to various tundra prey species (lemmings and the nests of geese, passerines, and sandpipers). Predator acquisition rates derived from the mechanistic model were consistent with field observations. Although acquisition rates slightly decrease at high goose nest and lemming densities, 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 the predator acquisition rate is not systematically limited at the highest prey densities observed in a natural system. Our study also illustrates how mechanistic models based on empirical estimates of the main components of predation can generate functional response shapes specific to the range of prey densities observed in the wild. Such models are needed to fully untangle proximate drivers of predator-prey population dynamics and to improve our understanding of predator-mediated interactions in natural communities.

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