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Compensatory Foraging in Stoichiometric Producer–Grazer Models

Bulletin of Mathematical Biology volume 81, pages 4932–4950 (2019)Cite this article

Abstract

Nutritional constraints are common as food resources are rarely optimally suited for grazing species. Elemental mismatches between trophic levels can influence population growth and foraging behaviors. Grazing species, such as Daphnia, utilize optimal foraging techniques, such as compensatory feeding. Here, we develop two stoichiometric producer–grazer models, a base model that incorporates a fixed energetic foraging cost and an optimal foraging model where energetic foraging costs depend on food nutritional content. A variable energetic foraging cost results in cell quota-dependent predation behaviors. Analyzing and comparing these two models allows us to investigate the potential benefits of stoichiometric compensatory foraging behaviors on grazer populations. Optimal foraging strategies depend on environmental conditions, such as light and nutrient availability. In low-light conditions, fixed energetic foraging appears optimal regardless of the nutrient loads. However, in higher light conditions and intermediate nutrient loads, grazers utilizing compensatory foraging strategies gain an advantage. Overall, grazers can benefit from compensatory feeding behaviors when the food nutrient content of their prey becomes low or high.

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Acknowledgements

The first author is partially supported by NSF grant DMS-1615697. The second author is partially supported by an NSERC grant. We would like to thank Alan Hastings for the initial discussion when the second author visited his laboratory in 2015.

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Affiliations

  1. Department of Mathematics and Statistics, Texas Tech University, Lubbock, USA

    Angela Peace

  2. Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Canada

    Hao Wang

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  1. Angela Peace
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  2. Hao Wang
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Correspondence to Angela Peace.

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Peace, A., Wang, H. Compensatory Foraging in Stoichiometric Producer–Grazer Models. Bull Math Biol 81, 4932–4950 (2019). https://doi.org/10.1007/s11538-019-00665-2

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  • DOI: https://doi.org/10.1007/s11538-019-00665-2

Keywords

  • Ecological stoichiometry
  • Predator–prey
  • Foraging strategies