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Modeling somatic and otolith growth of the central subpopulation of northern anchovy (Engraulis mordax) by incorporating seasonality
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2023
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Source: Fishery Bulletin, 121(4), 172-187
[PDF-2.32 MB]
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Journal Title:Fishery Bulletin
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Description:Somatic growth parameters are used in age-structured stock assessment models, such as those used to assess the federally managed northern anchovy (Engraulis mordax); therefore, incorrect estimation of growth can cause errors that affect estimates from stock assessments. To our knowledge, we completed the first comprehensive investigation to model somatic and otolith growth of the central subpopulation of northern anchovy (CSNA), which has a range from Northern California to Baja California, Mexico, by using fishery-dependent and fishery-independent data. Five growth models were fitted to length-at-age data, including 2 models that account for seasonal growth oscillations, to determine the model that best described growth. Seasonal growth oscillations were found for the CSNA, and the best fitting models were the ones that accounted for seasonality. The fastest growth occurred during summer, and growth decreased 90% in winter. Large variations in length at age and extensive overlap of lengths across ages were found for the CSNA, typical observations for fish with an opportunistic life history strategy that respond rapidly to changing environmental conditions in dynamic ecosystems. Traditional growth models overestimated mean asymptotic length and underestimated the growth coefficient in comparison to results from the seasonal growth models. Accurately describing growth of the CSNA by accounting for seasonality is important to limiting biases that may propagate in stock assessments and management decisions.
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Source:Fishery Bulletin, 121(4), 172-187
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ISSN:0090-0656
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Rights Information:CC0 Public Domain
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Compliance:Submitted
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