IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v442y2021ics0304380021000028.html
   My bibliography  Save this article

The impact of seasonal regulation of metabolism on the life history of Antarctic krill

Author

Listed:
  • Bahlburg, Dominik
  • Meyer, Bettina
  • Berger, Uta

Abstract

Antarctic krill up- and down-regulate their metabolism as a strategy to cope with the strong seasonal environmental fluctuations in the Southern Ocean. In this study, we investigate the impact of this light- and temperature dependent metabolic regulation on growth, reproduction and winter survival of krill. Therefore, we advance a bioenergetic growth model of krill by adding a data-derived scaling function of krill activity. With SERBIK (SEasonally Regulated BIoenergetic Krill growth model), we conduct a numerical experiment which tests the impact of such scaling on krill life history under two different winter food conditions: In the first scenario, we simulate life history of krill when winter food availability is low; in the second scenario, winter food availability is increased within realistic ranges. The results demonstrate that the scaling of metabolism is especially important during low food winters. Reducing metabolism during winter permits individuals to grow to larger body length, reproduce successfully and release a greater number of eggs. It further significantly reduces within-year size fluctuations caused by starvation during months with low food availability. Finally, SERBIK can be used in future spatial modelling studies which include movement of krill along latitudinal gradients and thus spatio-temporal gradients in light- and temperature.

Suggested Citation

  • Bahlburg, Dominik & Meyer, Bettina & Berger, Uta, 2021. "The impact of seasonal regulation of metabolism on the life history of Antarctic krill," Ecological Modelling, Elsevier, vol. 442(C).
    • Handle: RePEc:eee:ecomod:v:442:y:2021:i:c:s0304380021000028
    DOI: 10.1016/j.ecolmodel.2021.109427
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380021000028
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2021.109427?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Guillaumot, Charlène & Saucède, Thomas & Morley, Simon A. & Augustine, Starrlight & Danis, Bruno & Kooijman, Sebastiaan, 2020. "Can DEB models infer metabolic differences between intertidal and subtidal morphotypes of the Antarctic limpet Nacella concinna (Strebel, 1908)?," Ecological Modelling, Elsevier, vol. 430(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tardy, Olivia & Lenglos, Christophe & Lai, Sandra & Berteaux, Dominique & Leighton, Patrick A., 2023. "Rabies transmission in the Arctic: An agent-based model reveals the effects of broad-scale movement strategies on contact risk between Arctic foxes," Ecological Modelling, Elsevier, vol. 476(C).
    2. Jascha-Alexander Koch & Jens Lausen & Moritz Kohlhase, 2021. "Internalizing the externalities of overfunding: an agent-based model approach for analyzing the market dynamics on crowdfunding platforms," Journal of Business Economics, Springer, vol. 91(9), pages 1387-1430, November.
    3. Crevier, Lucas Phillip & Salkeld, Joseph H & Marley, Jessa & Parrott, Lael, 2021. "Making the best possible choice: Using agent-based modelling to inform wildlife management in small communities," Ecological Modelling, Elsevier, vol. 446(C).
    4. Lika, Konstadia & Augustine, Starrlight & Kooijman, Sebastiaan A.L.M., 2020. "The use of augmented loss functions for estimating dynamic energy budget parameters," Ecological Modelling, Elsevier, vol. 428(C).
    5. Wang, Richard & Ye, Zhongnan & Lu, Miaojia & Hsu, Shu-Chien, 2022. "Understanding post-pandemic work-from-home behaviours and community level energy reduction via agent-based modelling," Applied Energy, Elsevier, vol. 322(C).
    6. Dur, Gaël & Won, Eun-Ji & Han, Jeonghoon & Lee, Jae-Seong & Souissi, Sami, 2021. "An individual-based model for evaluating post-exposure effects of UV-B radiation on zooplankton reproduction," Ecological Modelling, Elsevier, vol. 441(C).
    7. Watson, Joseph W & Boyd, Robin & Dutta, Ritabrata & Vasdekis, Georgios & Walker, Nicola D. & Roy, Shovonlal & Everitt, Richard & Hyder, Kieran & Sibly, Richard M, 2022. "Incorporating environmental variability in a spatially-explicit individual-based model of European sea bass✰," Ecological Modelling, Elsevier, vol. 466(C).
    8. Anshuka Anshuka & Floris F. Ogtrop & David Sanderson & Simone Z. Leao, 2022. "A systematic review of agent-based model for flood risk management and assessment using the ODD protocol," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(3), pages 2739-2771, July.
    9. Kjær, Lene J. & Schauber, Eric M., 2022. "The effect of landscape, transmission mode and social behavior on disease transmission: Simulating the transmission of chronic wasting disease in white-tailed deer (Odocoileus virginianus) populations," Ecological Modelling, Elsevier, vol. 472(C).
    10. Butts, David J. & Thompson, Noelle E. & Christensen, Sonja A. & Williams, David M. & Murillo, Michael S., 2022. "Data-driven agent-based model building for animal movement through Exploratory Data Analysis," Ecological Modelling, Elsevier, vol. 470(C).
    11. Noeldeke, Beatrice & Winter, Etti & Ntawuhiganayo, Elisée Bahati, 2022. "Representing human decision-making in agent-based simulation models: Agroforestry adoption in rural Rwanda," Ecological Economics, Elsevier, vol. 200(C).
    12. Petter, Gunnar & Kreft, Holger & Ong, Yongzhi & Zotz, Gerhard & Cabral, Juliano Sarmento, 2021. "Modelling the long-term dynamics of tropical forests: From leaf traits to whole-tree growth patterns," Ecological Modelling, Elsevier, vol. 460(C).
    13. Bernardo Alves Furtado, 2022. "PolicySpace2: Modeling Markets and Endogenous Public Policies," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 25(1), pages 1-8.
    14. María Elena Orduña Alegría & Niels Schütze & Samuel C. Zipper, 2020. "A Serious Board Game to Analyze Socio-Ecological Dynamics towards Collaboration in Agriculture," Sustainability, MDPI, vol. 12(13), pages 1-19, June.
    15. Rahi, Joe El & Weeber, Marc P. & Serafy, Ghada El, 2020. "Modelling the effect of behavior on the distribution of the jellyfish Mauve stinger (Pelagia noctiluca) in the Balearic Sea using an individual-based model," Ecological Modelling, Elsevier, vol. 433(C).
    16. Meier, Laura & Brauns, Mario & Grimm, Volker & Weitere, Markus & Frank, Karin, 2022. "MASTIFF: A mechanistic model for cross-scale analyses of the functioning of multiple stressed riverine ecosystems," Ecological Modelling, Elsevier, vol. 470(C).
    17. Fouladvand, Javanshir, 2022. "Behavioural attributes towards collective energy security in thermal energy communities: Environmental-friendly behaviour matters," Energy, Elsevier, vol. 261(PB).
    18. Thurner, Stephanie D & Converse, Sarah J & Branch, Trevor A, 2021. "Modeling opportunistic exploitation: increased extinction risk when targeting more than one species," Ecological Modelling, Elsevier, vol. 454(C).
    19. Smaldino, Paul E. & Turner, Matthew Adam, 2020. "Covert signaling is an adaptive communication strategy in diverse populations," SocArXiv j9wyn, Center for Open Science.
    20. Alves, Roberta & Pereira, Cecília Aparecida & Lima, Renato da Silva, 2023. "Operational cost analysis for e-commerce deliveries using agent-based modeling and simulation," Research in Transportation Economics, Elsevier, vol. 101(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:442:y:2021:i:c:s0304380021000028. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.