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An empirically parameterized individual based model of animal movement, perception, and memory

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  • Avgar, Tal
  • Deardon, Rob
  • Fryxell, John M.

Abstract

Our capacity to predict patterns of animal movement behavior is limited by our understanding of the underlying cognitive process. Determining what an animal knows about its environment, and how that information is translated into specific movement behaviors, is a conceptual challenge faced by movement ecologists. The modeling framework presented here is designed to evaluate the likelihood of alternative processes of perception, memory and decision making, based on readily available positional data and environmental metrics. The model is based on a flexible cognitive algorithm that provides the framework for an adaptive movement kernel. This enables a straightforward methodology for estimating key parameters for sensory perception, memory and movement while providing testable predictions of animal resource selection and space use patterns. In addition to describing the model and explaining the underlying logic, we demonstrate its parameterization potential using simulated data and investigate the robustness of its predictions over a wide range of temporal and spatial sampling scales. We show that the model can reproduce descriptive probes of movement paths with little sensitivity to the scale at which these paths were sampled and we discuss the merits of our approach in the context of movement- and cognitive-ecology and evolution.

Suggested Citation

  • Avgar, Tal & Deardon, Rob & Fryxell, John M., 2013. "An empirically parameterized individual based model of animal movement, perception, and memory," Ecological Modelling, Elsevier, vol. 251(C), pages 158-172.
  • Handle: RePEc:eee:ecomod:v:251:y:2013:i:c:p:158-172
    DOI: 10.1016/j.ecolmodel.2012.12.002
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    1. Birch, Colin P.D. & Oom, Sander P. & Beecham, Jonathan A., 2007. "Rectangular and hexagonal grids used for observation, experiment and simulation in ecology," Ecological Modelling, Elsevier, vol. 206(3), pages 347-359.
    2. repec:dau:papers:123456789/6334 is not listed on IDEAS
    3. Torkel Hafting & Marianne Fyhn & Sturla Molden & May-Britt Moser & Edvard I. Moser, 2005. "Microstructure of a spatial map in the entorhinal cortex," Nature, Nature, vol. 436(7052), pages 801-806, August.
    4. Baasch, David M. & Tyre, Andrew J. & Millspaugh, Joshua J. & Hygnstrom, Scott E. & Vercauteren, Kurt C., 2010. "An evaluation of three statistical methods used to model resource selection," Ecological Modelling, Elsevier, vol. 221(4), pages 565-574.
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    Cited by:

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    2. Chimienti, Marianna & Desforges, Jean-Pierre & Beumer, Larissa T. & Nabe-Nielsen, Jacob & van Beest, Floris M. & Schmidt, Niels Martin, 2020. "Energetics as common currency for integrating high resolution activity patterns into dynamic energy budget-individual based models," Ecological Modelling, Elsevier, vol. 434(C).
    3. Riggs, Robert A. & Keane, Robert E. & Cimon, Norm & Cook, Rachel & Holsinger, Lisa & Cook, John & DelCurto, Timothy & Baggett, L.Scott & Justice, Donald & Powell, David & Vavra, Martin & Naylor, Bridg, 2015. "Biomass and fire dynamics in a temperate forest-grassland mosaic: Integrating multi-species herbivory, climate, and fire with the FireBGCv2/GrazeBGC system," Ecological Modelling, Elsevier, vol. 296(C), pages 57-78.
    4. Vergara, Pablo M. & Saura, Santiago & Pérez-Hernández, Christian G. & Soto, Gerardo E., 2015. "Hierarchical spatial decisions in fragmented landscapes: Modeling the foraging movements of woodpeckers," Ecological Modelling, Elsevier, vol. 300(C), pages 114-122.
    5. Chloe Bracis & Eliezer Gurarie & Bram Van Moorter & R Andrew Goodwin, 2015. "Memory Effects on Movement Behavior in Animal Foraging," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-21, August.
    6. Kunegel-Lion, Mélodie & Neilson, Eric W. & Mansuy, Nicolas & Goodsman, Devin W., 2022. "Habitat quality does not predict animal population abundance on frequently disturbed landscapes," Ecological Modelling, Elsevier, vol. 469(C).
    7. Katherine A. Zeller & David W. Wattles & Javan M. Bauder & Stephen DeStefano, 2020. "Forecasting Seasonal Habitat Connectivity in a Developing Landscape," Land, MDPI, vol. 9(7), pages 1-20, July.
    8. Bellot, Benoit & Poggi, Sylvain & Baudry, Jacques & Bourhis, Yoann & Parisey, Nicolas, 2018. "Inferring ecological processes from population signatures: A simulation-based heuristic for the selection of sampling strategies," Ecological Modelling, Elsevier, vol. 385(C), pages 12-25.
    9. Lutnesky, Marvin M.F. & Brown, Thomas R., 2015. "Simulation of movement that potentially maximizes assessment, presence, and defense in territorial animals with varying movement strategies," Ecological Modelling, Elsevier, vol. 313(C), pages 50-58.
    10. Zhang, Jingjing & Dennis, Todd E. & Landers, Todd J. & Bell, Elizabeth & Perry, George L.W., 2017. "Linking individual-based and statistical inferential models in movement ecology: A case study with black petrels (Procellaria parkinsoni)," Ecological Modelling, Elsevier, vol. 360(C), pages 425-436.

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