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Pattern-oriented modeling of bird foraging and pest control in coffee farms

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  • Railsback, Steven F.
  • Johnson, Matthew D.

Abstract

We develop a model of how land use and habitat diversity affect migratory bird populations and their ability to suppress an insect pest on Jamaican coffee farms. Bird foraging—choosing which habitat patch and prey to use as prey abundance changes over space and time—is the key process driving this system. Following the “pattern-oriented” modeling strategy, we identified nine observed patterns that characterize the real system's dynamics. The model was designed so that these patterns could potentially emerge from it. The resulting model is individual-based, has fine spatial and temporal resolutions, represents very simply the supply of the pest insect and other arthropod food in six habitat types, and includes foraging habitat selection as the only adaptive behavior of birds. Although there is an extensive heritage of bird foraging theory in ecology, most of it addresses only the individual level and is too simple for our context. We used pattern-oriented modeling to develop and test foraging theory for this across-scale problem: rules for individual bird foraging that cause the model to reproduce a variety of patterns observed at the system level. Four alternative foraging theories were contrasted by how well they caused the model to reproduce the nine characteristic patterns. Four of these patterns were clearly reproduced with the “null” theory that birds select habitat randomly. A version of classical theory in which birds stay in a patch until food is depleted to some threshold caused the model to reproduce five patterns; this theory caused lower, not higher, use of habitat experiencing an outbreak of prey insects. Assuming that birds select the nearby patch providing highest intake rate caused the model to reproduce all but one pattern, whereas assuming birds select the highest-intake patch over a large radius produced an unrealistic distribution of movement distances. The pattern reproduced under none of the theories, a negative relation between bird density and distance to trees, appears to result from a process not in the model: birds return to trees at night to roost. We conclude that a foraging model for small insectivorous birds in diverse habitat should assume birds can sense higher food supply but over short, not long, distances.

Suggested Citation

  • Railsback, Steven F. & Johnson, Matthew D., 2011. "Pattern-oriented modeling of bird foraging and pest control in coffee farms," Ecological Modelling, Elsevier, vol. 222(18), pages 3305-3319.
  • Handle: RePEc:eee:ecomod:v:222:y:2011:i:18:p:3305-3319
    DOI: 10.1016/j.ecolmodel.2011.07.009
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    References listed on IDEAS

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    1. Grimm, Volker & Berger, Uta & DeAngelis, Donald L. & Polhill, J. Gary & Giske, Jarl & Railsback, Steven F., 2010. "The ODD protocol: A review and first update," Ecological Modelling, Elsevier, vol. 221(23), pages 2760-2768.
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    Cited by:

    1. Carlos Andrés Trujillo-Salazar & Gerard Olivar-Tost & Deissy Milena Sotelo-Castelblanco, 2024. "Bifurcation Analysis in a Coffee Berry-Borer-and-Ants Prey–Predator Model," Mathematics, MDPI, vol. 12(11), pages 1-19, May.
    2. Burgess, Matthew G. & Carrella, Ernesto & Drexler, Michael & Axtell, Robert L. & Bailey, Richard M. & Watson, James R. & Cabral, Reniel B. & Clemence, Michaela & Costello, Christopher & Dorsett, Chris, 2018. "Opportunities for agent-based modeling in human dimensions of fisheries," SocArXiv gzhm5, Center for Open Science.
    3. Radchuk, Viktoriia & Johst, Karin & Groeneveld, Jürgen & Grimm, Volker & Schtickzelle, Nicolas, 2013. "Behind the scenes of population viability modeling: Predicting butterfly metapopulation dynamics under climate change," Ecological Modelling, Elsevier, vol. 259(C), pages 62-73.
    4. Kanapaux, William & Kiker, Gregory A., 2013. "Development and testing of an object-oriented model for adaptively managing human disturbance of least tern (Sternula antillarum) nesting habitat," Ecological Modelling, Elsevier, vol. 268(C), pages 64-77.
    5. Grimm, Volker & Berger, Uta, 2016. "Robustness analysis: Deconstructing computational models for ecological theory and applications," Ecological Modelling, Elsevier, vol. 326(C), pages 162-167.
    6. McLane, Adam J. & Semeniuk, Christina & McDermid, Gregory J. & Tomback, Diana F. & Lorenz, Teresa & Marceau, Danielle, 2017. "Energetic behavioural-strategy prioritization of Clark’s nutcrackers in whitebark pine communities: An agent-based modeling approach," Ecological Modelling, Elsevier, vol. 354(C), pages 123-139.
    7. Cao, Shan & Wang, Jiadao & Li, Dangguo & Chen, Darong, 2013. "Ecological and social modeling for migration and adhesion pattern of a benthic diatom," Ecological Modelling, Elsevier, vol. 250(C), pages 269-278.
    8. Semeniuk, C.A.D. & Musiani, M. & Hebblewhite, M. & Grindal, S. & Marceau, D.J., 2012. "Incorporating behavioral–ecological strategies in pattern-oriented modeling of caribou habitat use in a highly industrialized landscape," Ecological Modelling, Elsevier, vol. 243(C), pages 18-32.
    9. Ascensão, Fernando & Clevenger, Anthony & Santos-Reis, Margarida & Urbano, Paulo & Jackson, Nathan, 2013. "Wildlife–vehicle collision mitigation: Is partial fencing the answer? An agent-based model approach," Ecological Modelling, Elsevier, vol. 257(C), pages 36-43.
    10. Sánchez-Clavijo, Lina M. & Hearns, Jessica & Quintana-Ascencio, Pedro F., 2016. "Modeling the effect of habitat selection mechanisms on population responses to landscape structure," Ecological Modelling, Elsevier, vol. 328(C), pages 99-107.

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