Scientia Marina, Vol 81, No 1 (2017)

Environmental influences on commercial oceanic ommastrephid squids: a stock assessment perspective


https://doi.org/10.3989/scimar.04497.25B

Jintao Wang
College of Marine Sciences, Shanghai Ocean University - School of Marine Sciences, University of Maine , China
orcid http://orcid.org/0000-0003-3332-1209

Xinjun Chen
College of Marine Sciences, Shanghai Ocean University - Collaborative Innovation Centre for Distant-water Fisheries - National Engineering Research Centre for Oceanic Fisheries - Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai Ocean University , China
orcid http://orcid.org/0000-0003-2529-0852

Kisei Tanaka
School of Marine Sciences, University of Maine , United States
orcid http://orcid.org/0000-0002-1901-6972

Jie Cao
School of Marine Sciences, University of Maine , United States
orcid http://orcid.org/0000-0002-9291-9182

Yong Chen
School of Marine Sciences, University of Maine - Collaborative Innovation Centre for Distant-water Fisheries , United States
orcid http://orcid.org/0000-0003-0655-3864

Abstract


Ommastrephid squids are short-lived ecological opportunists and their recruitment is largely driven by the surrounding environment. While recent studies suggest that recruitment variability in several squid species can be partially explained by environmental variability derived from synoptic oceanographic data, assessment of ommastrephid stocks using environmental variability is rare. In thisstudy, we modified asurplus production model to incorporate environmental variability into the assessment of threeommastrephid squids (Ommastrephes bartramii in the northwest Pacific, Illex argentinus in the southwest Atlantic and Dosidicus gigas in the southwest Pacific). We assumed that the key environmental variables—suitable sea surface temperature on spawning grounds during the spawning seasons and feeding grounds during the feeding seasons—have effects on the carrying capacity and the instantaneous population growth rate, respectively, in the surplus production model. For each squid stock, the assessment model with environmental variability had the highest fitting accuracy and the lowest mean squared error and coefficient of variation, and the management reference points based on the optimal model were more precautionary. This study advances our understanding of the interactions between the environment and ommastrephid squid population dynamics and can therefore improve the management of these commercially valuable stocks with a short life cycle.

Keywords


Ommastrephid squids; Ommastrephes bartramii; Illex argentinus; Dosidicus gigas; stock assessment; environmental factors

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