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The importance of spawning season on the growth of Pacific saury: A model-based study using NEMURO.FISH

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  • Mukai, Daiki
  • Kishi, Michio J.
  • Ito, Shin-ichi
  • Kurita, Yutaka

Abstract

NEMURO.FISH was applied to Pacific saury to study the dependence of spawning season on growth. The model was composed of three ocean domains, which corresponded to the Kuroshio, the Oyashio, and the interfrontal zone (mixed water) regions. In these three domains, a lower trophic model (NEMURO) was coupled with a simple physical model, and the time-variation of three zooplankton size classes was input as prey densities into the saury bioenergetics model. Three numerical experiments were examined using this model, which corresponded to three different spawning seasons. Results showed that in the first year winter-spawned saury showed the fastest growth, and spring-spawned showed the slowest growth, while in the second year (time to grow to 120g wet weight), the reverse occurred, i.e., spring-spawned saury showed the fastest growth. This difference in growth, which depends on the spawning season, can explain the bimodal size distribution of early autumn catch data.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ecomod:v:202:y:2007:i:1:p:165-173
    DOI: 10.1016/j.ecolmodel.2006.08.022
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    1. Ito, Shin-Ichi & Megrey, Bernard A. & Kishi, Michio J. & Mukai, Daiki & Kurita, Yutaka & Ueno, Yasuhiro & Yamanaka, Yasuhiro, 2007. "On the interannual variability of the growth of Pacific saury (Cololabis saira): A simple 3-box model using NEMURO.FISH," Ecological Modelling, Elsevier, vol. 202(1), pages 174-183.
    2. Megrey, Bernard A. & Rose, Kenneth A. & Klumb, Robert A. & Hay, Douglas E. & Werner, Francisco E. & Eslinger, David L. & Smith, S. Lan, 2007. "A bioenergetics-based population dynamics model of Pacific herring (Clupea harengus pallasi) coupled to a lower trophic level nutrient–phytoplankton–zooplankton model: Description, calibration, and se," Ecological Modelling, Elsevier, vol. 202(1), pages 144-164.
    3. 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.
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    1. Libralato, Simone & Solidoro, Cosimo, 2009. "Bridging biogeochemical and food web models for an End-to-End representation of marine ecosystem dynamics: The Venice lagoon case study," Ecological Modelling, Elsevier, vol. 220(21), pages 2960-2971.
    2. 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.
    3. Ito, Shin-Ichi & Megrey, Bernard A. & Kishi, Michio J. & Mukai, Daiki & Kurita, Yutaka & Ueno, Yasuhiro & Yamanaka, Yasuhiro, 2007. "On the interannual variability of the growth of Pacific saury (Cololabis saira): A simple 3-box model using NEMURO.FISH," Ecological Modelling, Elsevier, vol. 202(1), pages 174-183.
    4. Megrey, Bernard A. & Rose, Kenneth A. & Ito, Shin-ichi & Hay, Douglas E. & Werner, Francisco E. & Yamanaka, Yasuhiro & Aita, Maki Noguchi, 2007. "North Pacific basin-scale differences in lower and higher trophic level marine ecosystem responses to climate impacts using a nutrient-phytoplankton–zooplankton model coupled to a fish bioenergetics m," Ecological Modelling, Elsevier, vol. 202(1), pages 196-210.
    5. 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).
    6. 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.
    7. Werner, Francisco E. & Ito, Shin-Ichi & Megrey, Bernard A. & Kishi, Michio J., 2007. "Synthesis of the NEMURO model studies and future directions of marine ecosystem modeling," Ecological Modelling, Elsevier, vol. 202(1), pages 211-223.

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