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A bioenergetics model for seasonal growth of Indian oil sardine (Sardinella longiceps) in the Indian west coast

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  • Hamza, Faseela
  • M, Anju
  • Valsala, Vinu
  • R, Smitha B.

Abstract

The Indian oil sardine (Sardinella longiceps) fishery was observed with wide stock fluctuation. Ecological parameters, mainly temperature and prey density, had a profound influence on the growth of S. longiceps and hence the production. In this study, a fish bioenergetics model, coupled with a lower trophic level model, was developed to reproduce the seasonality in the growth of S. longiceps. For this, we have used an Indian Ocean adaptation of an intermediate complex ecosystem model called North Pacific Ecological Modeling for Understanding Regional Oceanography (NEMURO) for marine productivity simulations. The model has 11-component ecosystem variables such as two types of phytoplankton (small and large including flagellates and diatoms), three types of zoo-planktons (small, large, and predatory, which includes ciliates, copepods, and euphausiids), particulate and dissolved organic matter, opal, cycling of nitrate, ammonia, and silicate. The prey densities derived from the NEMURO were input to the sardine bioenergetics model. The coupled model reproduced the appropriate growth rate and wet-weight of S. longiceps in its seasonal cycle in four major fishery regions such as Kochi, Goa, Ratnagiri, and Mumbai as verifiable from the available observation. In Kochi, the mean wet weight was 72.0 ± 12.8 g (June to September), 65.4 ± 5.3 g (October to November), 82.4 ± 2.7 g (December to February), and 66.7 ± 3.8 g (March to May). Goa and Ratnagiri have moderate weights with mean wet weight as 73.6 ± 10.6 g (June to September), 87.4 ± 3.2 g (October to November), 95.5 ± 4.3 g (December to February), and 76.2 ± 6.8 g (March to May). In the Mumbai region, maximum weight is simulated with mean wet weight as 97.4 ± 13.3 g (June to September), 102.1 ± 1.6 g (October to November), 104.8 ± 1.3 g (December to February), and 101.6 ± 1.2 g (March to May). Sensitivity analysis revealed the importance of temperature and consumption in the growth of sardine. Detailed model validation with available observations is presented.

Suggested Citation

  • Hamza, Faseela & M, Anju & Valsala, Vinu & R, Smitha B., 2021. "A bioenergetics model for seasonal growth of Indian oil sardine (Sardinella longiceps) in the Indian west coast," Ecological Modelling, Elsevier, vol. 456(C).
    • Handle: RePEc:eee:ecomod:v:456:y:2021:i:c:s0304380021002209
    DOI: 10.1016/j.ecolmodel.2021.109661
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    References listed on IDEAS

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    1. 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.
    2. Okunishi, Takeshi & Yamanaka, Yasuhiro & Ito, Shin-ichi, 2009. "A simulation model for Japanese sardine (Sardinops melanostictus) migrations in the western North Pacific," Ecological Modelling, Elsevier, vol. 220(4), pages 462-479.
    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.
    4. 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.
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