IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v468y2022ics0304380022000655.html
   My bibliography  Save this article

Individual-based modeling of shelled pteropods

Author

Listed:
  • Hofmann Elizondo, Urs
  • Vogt, Meike

Abstract

Shelled pteropods are cosmopolitan, free-swimming organisms of biogeochemical and commercial importance. They are widely used as sentinel species for the overall response of marine ecosystems to environmental stressors associated with climate change and changes in ocean chemistry. However, currently we are unable to project the effects of climate change on shelled pteropods at the population level, due to the missing spatio-temporal characterization of the response of pteropods to environmental stressors, and the limited information on the pteropod life history and life-cycle. In this study, we implement a shelled pteropod Individual-Based Model (IBM), i.e. we simulate a pteropod population as a set of discrete individuals over several generations, life-stages (eggs, larvae, juveniles and adults) and as a function of temperature, food availability, and aragonite saturation state. The model is able to provide an abundance signal that is consistent with the abundance signal measured in the temperate region. In addition, the modeled life-stage progression matches the reported size spectrum across the year, with two major spawning periods in spring and fall, and maturation in March and September. Furthermore, our IBM correctly predicts the abundance maxima of younger, smaller and potentially more susceptible life-stages in spring and winter. Thus, our model provides a tool for advancing our understanding of the response of pteropod populations to future environmental changes.

Suggested Citation

  • Hofmann Elizondo, Urs & Vogt, Meike, 2022. "Individual-based modeling of shelled pteropods," Ecological Modelling, Elsevier, vol. 468(C).
    • Handle: RePEc:eee:ecomod:v:468:y:2022:i:c:s0304380022000655
    DOI: 10.1016/j.ecolmodel.2022.109944
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380022000655
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2022.109944?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. Somers, I.F., 1988. "On a seasonally oscillating growth function," Fishbyte, The WorldFish Center, vol. 6(1), pages 8-11.
    2. James C. Orr & Victoria J. Fabry & Olivier Aumont & Laurent Bopp & Scott C. Doney & Richard A. Feely & Anand Gnanadesikan & Nicolas Gruber & Akio Ishida & Fortunat Joos & Robert M. Key & Keith Lindsay, 2005. "Anthropogenic ocean acidification over the twenty-first century and its impact on calcifying organisms," Nature, Nature, vol. 437(7059), pages 681-686, September.
    3. 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.
    4. Parry, Hazel R. & Evans, Andrew J., 2008. "A comparative analysis of parallel processing and super-individual methods for improving the computational performance of a large individual-based model," Ecological Modelling, Elsevier, vol. 214(2), pages 141-152.
    5. 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.
    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. 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).
    5. 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).
    6. 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.
    7. 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).
    8. 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).
    9. 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).
    10. Mintram, Kate S. & Brown, A. Ross & Maynard, Samuel K. & Liu, Chun & Parker, Sarah-Jane & Tyler, Charles R. & Thorbek, Pernille, 2018. "Assessing population impacts of toxicant-induced disruption of breeding behaviours using an individual-based model for the three-spined stickleback," Ecological Modelling, Elsevier, vol. 387(C), pages 107-117.
    11. 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).
    12. Crouse, Kristin N. & Desai, Nisarg P. & Cassidy, Kira A. & Stahler, Erin E. & Lehman, Clarence L. & Wilson, Michael L., 2022. "Larger territories reduce mortality risk for chimpanzees, wolves, and agents: Multiple lines of evidence in a model validation framework," Ecological Modelling, Elsevier, vol. 471(C).
    13. Troost, Christian & Huber, Robert & Bell, Andrew R. & van Delden, Hedwig & Filatova, Tatiana & Le, Quang Bao & Lippe, Melvin & Niamir, Leila & Polhill, J. Gareth & Sun, Zhanli & Berger, Thomas, 2023. "How to keep it adequate: A protocol for ensuring validity in agent-based simulation," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 159, pages 1-21.
    14. MacPherson, Brian & Scott, Ryan & Gras, Robin, 2023. "Using individual-based modelling to investigate a pluralistic explanation for the prevalence of sexual reproduction in animal species," Ecological Modelling, Elsevier, vol. 475(C).
    15. Medeiros-Sousa, Antônio Ralph & Laporta, Gabriel Zorello & Mucci, Luis Filipe & Marrelli, Mauro Toledo, 2022. "Epizootic dynamics of yellow fever in forest fragments: An agent-based model to explore the influence of vector and host parameters," Ecological Modelling, Elsevier, vol. 466(C).
    16. Diaz, Stephanie G. & DeAngelis, Donald L. & Gaines, Michael S. & Purdon, Andrew & Mole, Michael A. & van Aarde, Rudi J., 2021. "Development and validation of a spatially-explicit agent-based model for space utilization by African savanna elephants (Loxodonta africana) based on determinants of movement," Ecological Modelling, Elsevier, vol. 447(C).
    17. Chudzinska, Magda & Nabe-Nielsen, Jacob & Smout, Sophie & Aarts, Geert & Brasseur, Sophie & Graham, Isla & Thompson, Paul & McConnell, Bernie, 2021. "AgentSeal: Agent-based model describing movement of marine central-place foragers," Ecological Modelling, Elsevier, vol. 440(C).
    18. Berre, D. & Diarisso, T. & Andrieu, N. & Le Page, C. & Corbeels, M., 2021. "Biomass flows in an agro-pastoral village in West-Africa: Who benefits from crop residue mulching?," Agricultural Systems, Elsevier, vol. 187(C).
    19. An, Li & Grimm, Volker & Sullivan, Abigail & Turner II, B.L. & Malleson, Nicolas & Heppenstall, Alison & Vincenot, Christian & Robinson, Derek & Ye, Xinyue & Liu, Jianguo & Lindkvist, Emilie & Tang, W, 2021. "Challenges, tasks, and opportunities in modeling agent-based complex systems," Ecological Modelling, Elsevier, vol. 457(C).
    20. Sakiyama, Tomoko, 2023. "Spatial inconsistency of memorized positions produces different types of movements," Ecological Modelling, Elsevier, vol. 481(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:468:y:2022:i:c:s0304380022000655. 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.