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

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.

Automated summary

The Indian oil sardine fishery is characterized by wide stock fluctuation. The growth of S. longiceps is influenced by ecological parameters like temperature and prey density, and a fish bioenergetics model was developed to simulate its seasonal growth patterns. Through coupling with the NEMURO model, the fishery growth rates in different regions were accurately reproduced.