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Quantification of the full lifecycle bioenergetics of a large mammal in the high Arctic

Author

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  • Desforges, Jean-Pierre
  • Marques, Gonçalo M.
  • Beumer, Larissa T.
  • Chimienti, Marianna
  • Blake, John
  • Rowell, Janice E.
  • Adamczewski, Jan
  • Schmidt, Niels Martin
  • van Beest, Floris M.

Abstract

Energy is a critical driver of animal life-history traits and Darwinian fitness, with direct implications for population dynamics. In the Arctic, extreme seasonal climatic conditions dictate energy flow and physiology of resident species. Consequently, vital rates of animal populations in the Arctic are tightly linked to climatic factors influencing food availability and quality. The muskox (Ovibos moschatus) is a capital breeder and the largest herbivore in the Arctic. Seasonal changes in energy intake influence body reserve dynamics of this species, impacting inter-annual and spatial variations in survival and recruitment. Yet, little is known about the full lifecycle bioenergetics of this and other Arctic species, and the impact of extreme seasonal conditions on life-history traits have never been quantified. By integrating energetic and physiological processes throughout the full lifecycle of individuals, we developed an individual-based model using dynamic energy budget theory (DEB-IBM) of the muskox that covers all aspects of mammalian life-history. We parameterized a baseline muskox model using data from a well-studied captive research herd, and then explored its application to a wild population in the high Arctic to assess the life-history implications of seasonal food availability. Our baseline DEB-IBM, which for the first time explicitly characterized fetal development using DEB theory, successfully predicted life-history traits as well as patterns of growth, body condition, feeding, metabolic rates, and reproduction of captive muskoxen. Adaptation of the model to the wild population required re-parameterization of only three variables that controlled seasonal food availability and upregulated assimilation. The wild model successfully captured inter-annual costs of reproduction, such that lactating females were in poorer body condition than females without calves. Arctic seasonal food limitations reduced fecundity in wild muskoxen by 42% compared to annual reproduction in well-fed captive individuals. We have developed a mechanistic energy-based framework to study life-history processes of muskoxen but the model is broadly applicable also for other mammals in the Arctic. Our study quantifies and highlights the strong interplay between energetics and individual fitness components, opening the door to future applications of the model in assessments of population dynamics and climate change impacts.

Suggested Citation

  • Desforges, Jean-Pierre & Marques, Gonçalo M. & Beumer, Larissa T. & Chimienti, Marianna & Blake, John & Rowell, Janice E. & Adamczewski, Jan & Schmidt, Niels Martin & van Beest, Floris M., 2019. "Quantification of the full lifecycle bioenergetics of a large mammal in the high Arctic," Ecological Modelling, Elsevier, vol. 401(C), pages 27-39.
  • Handle: RePEc:eee:ecomod:v:401:y:2019:i:c:p:27-39
    DOI: 10.1016/j.ecolmodel.2019.03.013
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    References listed on IDEAS

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    1. Merel Goedegebuure & Jessica Melbourne-Thomas & Stuart P Corney & Clive R McMahon & Mark A Hindell, 2018. "Modelling southern elephant seals Mirounga leonina using an individual-based model coupled with a dynamic energy budget," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-37, March.
    2. Marn, Nina & Jusup, Marko & Legović, Tarzan & Kooijman, S.A.L.M. & Klanjšček, Tin, 2017. "Environmental effects on growth, reproduction, and life-history traits of loggerhead turtles," Ecological Modelling, Elsevier, vol. 360(C), pages 163-178.
    3. P. Legagneux & G. Gauthier & N. Lecomte & N. M. Schmidt & D. Reid & M-C. Cadieux & D. Berteaux & J. Bêty & C. J. Krebs & R. A. Ims & N. G. Yoccoz & R. I. G. Morrison & S. J. Leroux & M. Loreau & D. Gr, 2014. "Arctic ecosystem structure and functioning shaped by climate and herbivore body size," Nature Climate Change, Nature, vol. 4(5), pages 379-383, May.
    4. Boult, Victoria L. & Quaife, Tristan & Fishlock, Vicki & Moss, Cynthia J. & Lee, Phyllis C. & Sibly, Richard M., 2018. "Individual-based modelling of elephant population dynamics using remote sensing to estimate food availability," Ecological Modelling, Elsevier, vol. 387(C), pages 187-195.
    5. Pethybridge, H. & Roos, D. & Loizeau, V. & Pecquerie, L. & Bacher, C., 2013. "Responses of European anchovy vital rates and population growth to environmental fluctuations: An individual-based modeling approach," Ecological Modelling, Elsevier, vol. 250(C), pages 370-383.
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    1. Stubbs, Jessica L. & Marn, Nina & Vanderklift, Mathew A. & Fossette, Sabrina & Mitchell, Nicola J., 2020. "Simulated growth and reproduction of green turtles (Chelonia mydas) under climate change and marine heatwave scenarios," Ecological Modelling, Elsevier, vol. 431(C).
    2. Denryter, Kristin & German, David W. & Stephenson, Thomas R. & Monteith, Kevin L., 2021. "State- and context-dependent applications of an energetics model in free-ranging bighorn sheep," Ecological Modelling, Elsevier, vol. 440(C).
    3. 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).

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