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Journal article

Understanding fishery interactions and stock trajectory of yellowfin tuna exploited by Iranian fisheries in the Sea of Oman

Edited by Anderson, Emory

From

Section for Fisheries Technology, National Institute of Aquatic Resources, Technical University of Denmark1

National Institute of Aquatic Resources, Technical University of Denmark2

National Oceanic and Atmospheric Administration3

Gorgan University of Agricultural Sciences and Natural Resources4

Iranian Fisheries Research Organization5

Université de Montpellier6

The predominant policy for remedying the world fishing crisis aims at maximum sustainable yield (MSY) by adjusting gear selectivity and fishing effort to maintain sustainable stock levels. The yellowfin tuna (Thunnus albacares) fishery in the Sea of Oman has experienced intense increases in removals since 1980, with particularly high levels since the 1990s.

Here, we apply a statistical catch-at-age model to time-series of catches and fishery-dependent length composition data to obtain a preliminary and general understanding of the population dynamics of this stock since the start of the fishery in 1950–2019. Despite limited data, population models consistently indicate a sharp decline in population status since the beginning of the time-series across a variety of assumptions on stock productivity and life history.

The gillnet fishery takes almost exclusively immature individuals, with high fishing intensity and removal rates. Both reference models indicate the population is essentially at the same relative stock status in 2019 (10% of unfished), but with very different future projections and higher absolute stock size when recruitment is estimated.

The yellowfin tuna population in 2019 is below estimated MSY reference points (based either on unfished size or spawning output at MSY) for current relative stock size, and over the fishing intensity at MSY, indicating current overfishing. Adjusting the interactions of that fishery with the population, while continuing to collected biological composition data representative of each fleet in the fishery, will help mitigate current stock decline and provide the ability to refine future population status determination and forecasts through more informed stock assessments.

Language: English
Publisher: Oxford University Press
Year: 2021
Pages: 2420-2431
ISSN: 10959289 and 10543139
Types: Journal article
DOI: 10.1093/icesjms/fsab114
ORCIDs: Eighani, Morteza

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