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Foraging of wading birds on a patchy landscape: Simulating effects of social information, interference competition, and patch selection on prey intake and individual distribution

Author

Listed:
  • Lee, Hyo Won
  • DeAngelis, Donald L.
  • Yurek, Simeon
  • Papastamatiou, Yannis P.

Abstract

Foragers on patchy landscapes must acquire sufficient resources despite uncertainty in the location and amount of the resources. Optimal Foraging Theory posits that foragers deal with this uncertainty by using strategies that optimize resource intake within foraging periods. For species such as wading birds, this optimization is closely linked to their survival and reproductive success. Understanding the influence of patch selection on individual resource intake and foraging distribution is therefore crucial. In this study, we simulated how resource distribution, interference competition, and social cues—such as aggregation behaviors—influence resource intake and foraging spatial distribution. We employed an individual-based model simulating wading bird foraging behaviors, with 900 individuals simultaneously foraging across a landscape with unknown resource distribution. Birds employed one of three patch-finding strategies: random, cue-searching, or hybrid, which uses both searching strategies. Each bird decided whether to remain in a patch based on a prey density threshold. We compared the daily resource intake and foraging distribution of birds across different modeled patch-finding strategies, resource distribution patterns, and the presence or absence of interference competition. Wading birds exhibiting aggregation behavior displayed increased intake rates when resources were concentrated and interference minimal. Aggregation behavior led to a closer match with the ideal free distribution when the prey density threshold was optimal. These findings provide theoretical support that aggregation behavior is effective in scenarios where resources are concentrated in a few patches, social cues are used by relatively few individuals, and interference competition is limited.

Suggested Citation

  • Lee, Hyo Won & DeAngelis, Donald L. & Yurek, Simeon & Papastamatiou, Yannis P., 2025. "Foraging of wading birds on a patchy landscape: Simulating effects of social information, interference competition, and patch selection on prey intake and individual distribution," Ecological Modelling, Elsevier, vol. 507(C).
  • Handle: RePEc:eee:ecomod:v:507:y:2025:i:c:s0304380025001632
    DOI: 10.1016/j.ecolmodel.2025.111178
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    References listed on IDEAS

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    1. Miller, Matt L. & Ringelman, Kevin M. & Eadie, John M. & Schank, Jeffrey C., 2017. "Time to fly: A comparison of marginal value theorem approximations in an agent-based model of foraging waterfowl," Ecological Modelling, Elsevier, vol. 351(C), pages 77-86.
    2. Wouter K. Vahl & Jaap van der Meer & Franz J. Weissing & Diederik van Dullemen & Theunis Piersma, 2005. "The mechanisms of interference competition: two experiments on foraging waders," Behavioral Ecology, International Society for Behavioral Ecology, vol. 16(5), pages 845-855, September.
    3. Yurek, Simeon & DeAngelis, Donald L. & Lee, Hyo Won & Tennenbaum, Stephen, 2024. "Visualizing wading bird optimal foraging decisions with aggregation behaviors using individual-based modeling," Ecological Modelling, Elsevier, vol. 493(C).
    4. Walters, Richard J. & Olsson, Ola & Olsson, Peter & Smith, Henrik G., 2024. "Consequences of intraspecific competition for floral resources in heterogeneous landscapes for eusocial bees," Ecological Modelling, Elsevier, vol. 496(C).
    5. Volker Grimm & Steven F. Railsback & Christian E. Vincenot & Uta Berger & Cara Gallagher & Donald L. DeAngelis & Bruce Edmonds & Jiaqi Ge & Jarl Giske & Jürgen Groeneveld & Alice S.A. Johnston & Alex, 2020. "The ODD Protocol for Describing Agent-Based and Other Simulation Models: A Second Update to Improve Clarity, Replication, and Structural Realism," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(2), pages 1-7.
    6. Chudzińska, Magda & Ayllón, Daniel & Madsen, Jesper & Nabe-Nielsen, Jacob, 2016. "Discriminating between possible foraging decisions using pattern-oriented modelling: The case of pink-footed geese in Mid-Norway during their spring migration," Ecological Modelling, Elsevier, vol. 320(C), pages 299-315.
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