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Movement models provide insights into variation in the foraging effort of central place foragers

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  • Boyd, Charlotte
  • Punt, André E.
  • Weimerskirch, Henri
  • Bertrand, Sophie

Abstract

Ecology and conservation depend on an understanding of how animals adjust their behaviour patterns in response to changes in their environment. Central place foragers (CPFs) are well-suited for developing ecological models of adaptive processes because their objective functions and operational constraints can be reasonably inferred. Central place foraging and provisioning theory provide the theoretical framework for this analysis. Analysis of CPF time allocation and energy budgets can provide insights into their strategies for responding to environmental variation. However, until recently, suitable high-resolution data on the behaviour of seabirds and other CPFs at sea have not been available. Previous studies of breeding seabirds have investigated variation in foraging trip duration and colony attendance, but few studies have analyzed variation in time allocation within foraging trips. Here, we develop a conceptual energy-based model for analysing variation in the time allocation of CPFs during foraging trips, and apply it to the movement patterns of Peruvian boobies (Sula variegata). Foraging trips of Peruvian boobies, recorded using high-resolution global positioning systems (GPS), were first partitioned into movement modes consistent with travel and foraging behaviours using a hidden Markov model (HMM) adapted to account for gaps in the GPS tracks associated with diving behaviour. Analysis of the HMM results based on the conceptual model indicated that differences in foraging effort between two treatments were best explained by a combination of differences in travel time and in time spent searching for prey. The conceptual model provides the basis for an integrated approach to analysis of variation in foraging strategies in which identification of various behaviours is coupled with assessments of time and energy budgets. This integrated approach can contribute to greater understanding of the processes determining foraging strategies and the limits to these strategies in the context of competition for resources and global climate change.

Suggested Citation

  • Boyd, Charlotte & Punt, André E. & Weimerskirch, Henri & Bertrand, Sophie, 2014. "Movement models provide insights into variation in the foraging effort of central place foragers," Ecological Modelling, Elsevier, vol. 286(C), pages 13-25.
    • Handle: RePEc:eee:ecomod:v:286:y:2014:i:c:p:13-25
    DOI: 10.1016/j.ecolmodel.2014.03.015
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    References listed on IDEAS

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    1. Rocio Joo & Sophie Bertrand & Jorge Tam & Ronan Fablet, 2013. "Hidden Markov Models: The Best Models for Forager Movements?," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-12, August.
    2. Walker, E. & Bez, N., 2010. "A pioneer validation of a state-space model of vessel trajectories (VMS) with observers’ data," Ecological Modelling, Elsevier, vol. 221(17), pages 2008-2017.
    3. S. Lewis & T. N. Sherratt & K. C. Hamer & S. Wanless, 2001. "Evidence of intra-specific competition for food in a pelagic seabird," Nature, Nature, vol. 412(6849), pages 816-819, August.
    4. Vermard, Youen & Rivot, Etienne & Mahévas, Stéphanie & Marchal, Paul & Gascuel, Didier, 2010. "Identifying fishing trip behaviour and estimating fishing effort from VMS data using Bayesian Hidden Markov Models," Ecological Modelling, Elsevier, vol. 221(15), pages 1757-1769.
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    Cited by:

    1. 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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