IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v488y2024ics0304380023003058.html
   My bibliography  Save this article

Development and application of a bioenergetics growth model for multiple early life stages of an ecologically important marine fish

Author

Listed:
  • Morales, Mark M.
  • Fiechter, Jerome
  • Field, John C.
  • Kashef, Neosha S
  • Hazen, Elliott L.
  • Carr, Mark H.

Abstract

Spatial and temporal variability in temperature and food availability are key drivers of growth of marine fishes. Growth during the early life stages (ELS's) is tightly coupled to survival, and in turn, can set year-class strength (i.e. annual recruitment) and overall stock productivity of populations and fished stocks. Ontogenetic changes in physiology, dietary preferences, and growth across ELS's can be accounted for within bioenergetics models, but existing models lack resolution within larval and early juvenile stages. We leveraged daily output from a coupled physical-biogeochemical model to force a highly resolved ontogenetic bioenergetics model parametrized for an ecologically important rockfish in the California Current System. Size-at-age predictions closely track empirical growth trajectories of the ELS's. Scenario testing revealed that growth performance is disproportionately driven by changes in temperature compared to food availability. We then expanded the model to incorporate spatial climatological differences in temperature and prey concentration and found that preflexion growth potential is maximized in areas of historical spawning, suggesting the timing and location of reproduction is an adaptive strategy that places larvae in habitat favorable for survival. Growth potential for late-stage larvae (postflexion) is greatest over a broad areal extent, implying that if a particle tracking algorithm was coupled to the bioenergetics model, a wide range of larval dispersal pathways would place postflexion larvae in habitat suitable for rapid growth. Finally, growth potential of pelagic juveniles is maximized over the continental shelf and shelf-break, aligning with high juvenile catch rates from a fisheries-independent survey. In summary, this study (i) serves as a proof of concept that a bioenergetics model with high ontogenetic resolution can reproduce life stage-specific growth trajectories even though the underlying physiology data for model parameterization is imperfect and (ii) can aid future studies aimed at understanding how ecosystem processes interact with ontogenetic growth and changes in year class strength of early life stages of marine fishes.

Suggested Citation

  • Morales, Mark M. & Fiechter, Jerome & Field, John C. & Kashef, Neosha S & Hazen, Elliott L. & Carr, Mark H., 2024. "Development and application of a bioenergetics growth model for multiple early life stages of an ecologically important marine fish," Ecological Modelling, Elsevier, vol. 488(C).
    • Handle: RePEc:eee:ecomod:v:488:y:2024:i:c:s0304380023003058
    DOI: 10.1016/j.ecolmodel.2023.110575
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380023003058
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2023.110575?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. Kishi, Michio J. & Kashiwai, Makoto & Ware, Daniel M. & Megrey, Bernard A. & Eslinger, David L. & Werner, Francisco E. & Noguchi-Aita, Maki & Azumaya, Tomonori & Fujii, Masahiko & Hashimoto, Shinji & , 2007. "NEMURO—a lower trophic level model for the North Pacific marine ecosystem," Ecological Modelling, Elsevier, vol. 202(1), pages 12-25.
    2. Elliott L. Hazen & Salvador Jorgensen & Ryan R. Rykaczewski & Steven J. Bograd & David G. Foley & Ian D. Jonsen & Scott A. Shaffer & John P. Dunne & Daniel P. Costa & Larry B. Crowder & Barbara A. Blo, 2013. "Predicted habitat shifts of Pacific top predators in a changing climate," Nature Climate Change, Nature, vol. 3(3), pages 234-238, March.
    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. Mukai, Daiki & Kishi, Michio J. & Ito, Shin-ichi & Kurita, Yutaka, 2007. "The importance of spawning season on the growth of Pacific saury: A model-based study using NEMURO.FISH," Ecological Modelling, Elsevier, vol. 202(1), pages 165-173.
    2. Terui, Takeshi & Kishi, Michio J., 2008. "Population dynamics model of Copepoda (Neocalanus cristatus) in the northwestern subarctic Pacific," Ecological Modelling, Elsevier, vol. 215(1), pages 77-88.
    3. Brewin, Robert J.W. & Sathyendranath, Shubha & Hirata, Takafumi & Lavender, Samantha J. & Barciela, Rosa M. & Hardman-Mountford, Nick J., 2010. "A three-component model of phytoplankton size class for the Atlantic Ocean," Ecological Modelling, Elsevier, vol. 221(11), pages 1472-1483.
    4. Fujii, Masahiko & Yamanaka, Yasuhiro & Nojiri, Yukihiro & Kishi, Michio J. & Chai, Fei, 2007. "Comparison of seasonal characteristics in biogeochemistry among the subarctic North Pacific stations described with a NEMURO-based marine ecosystem model," Ecological Modelling, Elsevier, vol. 202(1), pages 52-67.
    5. Andrew J Allyn & Michael A Alexander & Bradley S Franklin & Felix Massiot-Granier & Andrew J Pershing & James D Scott & Katherine E Mills, 2020. "Comparing and synthesizing quantitative distribution models and qualitative vulnerability assessments to project marine species distributions under climate change," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-28, April.
    6. Beltran, Roxanne S. & Testa, J. Ward & Burns, Jennifer M., 2017. "An agent-based bioenergetics model for predicting impacts of environmental change on a top marine predator, the Weddell seal," Ecological Modelling, Elsevier, vol. 351(C), pages 36-50.
    7. Mariana Fuentes & Lynda Chambers & Andrew Chin & Peter Dann & Kirstin Dobbs & Helene Marsh & Elvira Poloczanska & Kim Maison & Malcolm Turner & Robert Pressey, 2016. "Adaptive management of marine mega-fauna in a changing climate," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 21(2), pages 209-224, February.
    8. Xing, Lei & Zhang, Chongliang & Chen, Yong & Shin, Yunne-Jai & Verley, Philippe & Yu, Haiqing & Ren, Yiping, 2017. "An individual-based model for simulating the ecosystem dynamics of Jiaozhou Bay, China," Ecological Modelling, Elsevier, vol. 360(C), pages 120-131.
    9. Yoshie, Naoki & Yamanaka, Yasuhiro & Rose, Kenneth A. & Eslinger, David L. & Ware, Daniel M. & Kishi, Michio J., 2007. "Parameter sensitivity study of the NEMURO lower trophic level marine ecosystem model," Ecological Modelling, Elsevier, vol. 202(1), pages 26-37.
    10. Kearney, Kelly A. & Stock, Charles & Aydin, Kerim & Sarmiento, Jorge L., 2012. "Coupling planktonic ecosystem and fisheries food web models for a pelagic ecosystem: Description and validation for the subarctic Pacific," Ecological Modelling, Elsevier, vol. 237, pages 43-62.
    11. Fiechter, Jerome, 2012. "Assessing marine ecosystem model properties from ensemble calculations," Ecological Modelling, Elsevier, vol. 242(C), pages 164-179.
    12. Masuda, Yoshio & Yamanaka, Yasuhiro & Hirata, Takafumi & Nakano, Hideyuki & Kohyama, Takashi S., 2020. "Inhibition of competitive exclusion due to phytoplankton dispersion: a contribution for solving Hutchinson's paradox," Ecological Modelling, Elsevier, vol. 430(C).
    13. Zuenko, Yury I., 2007. "Application of a lower trophic level model to a coastal sea ecosystem," Ecological Modelling, Elsevier, vol. 202(1), pages 132-143.
    14. Batchelder, Harold P. & Kashiwai, Makoto, 2007. "Ecosystem modeling with NEMURO within the PICES Climate Change and Carrying Capacity program," Ecological Modelling, Elsevier, vol. 202(1), pages 7-11.
    15. Kakehi, Shigeho & Abo, Jun-ichi & Miyamoto, Hiroomi & Fuji, Taiki & Watanabe, Kazuyoshi & Yamashita, Hideyuki & Suyama, Satoshi, 2020. "Forecasting Pacific saury (Cololabis saira) fishing grounds off Japan using a migration model driven by an ocean circulation model," Ecological Modelling, Elsevier, vol. 431(C).
    16. Rose, Kenneth A. & Werner, Francisco E. & Megrey, Bernard A. & Aita, Maki Noguchi & Yamanaka, Yasuhiro & Hay, Douglas E. & Schweigert, Jake F. & Foster, Matthew Birch, 2007. "Simulated herring growth responses in the Northeastern Pacific to historic temperature and zooplankton conditions generated by the 3-dimensional NEMURO nutrient–phytoplankton–zooplankton model," Ecological Modelling, Elsevier, vol. 202(1), pages 184-195.
    17. Sailley, S.F. & Vogt, M. & Doney, S.C. & Aita, M.N. & Bopp, L. & Buitenhuis, E.T. & Hashioka, T. & Lima, I. & Le Quéré, C. & Yamanaka, Y., 2013. "Comparing food web structures and dynamics across a suite of global marine ecosystem models," Ecological Modelling, Elsevier, vol. 261, pages 43-57.
    18. Hashioka, Taketo & Yamanaka, Yasuhiro, 2007. "Ecosystem change in the western North Pacific associated with global warming using 3D-NEMURO," Ecological Modelling, Elsevier, vol. 202(1), pages 95-104.
    19. Goebel, N.L. & Edwards, C.A. & Zehr, J.P. & Follows, M.J. & Morgan, S.G., 2013. "Modeled phytoplankton diversity and productivity in the California Current System," Ecological Modelling, Elsevier, vol. 264(C), pages 37-47.
    20. Komatsu, Kosei & Matsukawa, Yasuo & Nakata, Kaoru & Ichikawa, Tadafumi & Sasaki, Katsuyuki, 2007. "Effects of advective processes on planktonic distributions in the Kuroshio region using a 3-D lower trophic model and a data assimilative OGCM," Ecological Modelling, Elsevier, vol. 202(1), pages 105-119.

    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:488:y:2024:i:c:s0304380023003058. 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.