Working Group on Mackerel and Horse Mackerel Egg Surveys (WGMEGS)

Álvarez, Paula; Angélico, Maria Manuel; Burns, Finlay; Schmidt, Thassya Dos Santos; Garabana, Dolores; Korta, María; Nunes, Cristina; O’Hea, B.; Riveiro, I.; Sampedro, Paz; Solla, Antonio; Thorsén, Anders; Ulleweit, Jens; Damme, C.J.G. van; Costas, G.; Kloppmann, Matthias

doi:10.17895/ices.pub.7899

Cited by 2 publications

(1 citation statement)

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“…On the one hand, the AZTI database provided information on M. muelleri collected during the JUVENA survey in 2016, 2017, and 2018. On the other hand, we collected extra samples from two more campaigns in the area: the international mackerel and horse mackerel egg survey (MEGS) in the spring of 2019 [41], and BIOMAN in the spring of 2020 and 2021 [42]. Table 1 provides more details.…”

Section: Sampling Area and Sample Collectionmentioning

confidence: 99%

Life History Strategy of Maurolicus muelleri (Gmenlin, 1789) in the Bay of Biscay

Álvarez

Korta

García³

et al. 2023

Hydrobiology

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Maurolicus muelleri is a significant component of the marine ecosystem and has the potential to be a valuable fishery resource. However, in the Bay of Biscay, its primary biological traits remain unclear. This study presents data on the length distribution, age, growth, maturity ogive, spawning season, batch fecundity, and sex ratio for Maurolicus muelleri captured in the Bay of Biscay. The results showed that in spring, the adult spawners (ages of 1 and 2) were dominant in the catches, while in September, immature juveniles (age of 0) born in spring were mostly found. Using standard lengths as a basis, 50% of the fish were mature at 34.1 mm (both sexes combined), and the sex ratio, male to female, was 0.44:0.56. The proportion of females increased with length, and a 1:1 sex ratio was predicted at a standard length of 41.5 mm. The spawning season was allocated to at least between March and September, with a likely peak in May. The batch fecundity ranged from 114 to 919 oocytes/female, and increased with the weight and length of females. The results allowed us to interpret a life history strategy for this species, i.e., a high fecundity for females, which mostly participate in one or two reproductive seasons. Therefore, any possible exploitation of age 0 fish prior to spawning could lead to a decrease in the population from which recovery could be slow.

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Section: Sampling Area and Sample Collectionmentioning

confidence: 99%

Life History Strategy of Maurolicus muelleri (Gmenlin, 1789) in the Bay of Biscay

Álvarez

Korta

García³

et al. 2023

Hydrobiology

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Reviewing and improving spatiotemporal modeling approaches for mackerel’s total annual egg production

Núñez-Riboni,

Costas,

Diekmann

et al. 2023

Rev Fish Biol Fisheries

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Since the late 1970s the international ICES mackerel egg survey takes place in the Northeast Atlantic to obtain an estimate of total annual egg production (TAEP), to assess the spawning stock biomass and to support the sustainable management of the mackerel stock. However, its standard calculation of TAEP has some shortcomings: egg production is estimated from arithmetic averages of individual observations regardless whether they are extreme, rarely observed values, and has shown difficulties coping with the spatial expansion of mackerel spawning observed since 2007 (increasing the number of interpolated estimates). Various previous modeling efforts attempted to map the habitat of spawning mackerel to obtain more accurate egg production estimates by using generalized additive models (GAMs). In this study, we review and improve these models by introducing new features: We model both the western and southern components of the mackerel stock with a Tweedie distribution and test more than 400 model forms, including new predictors (like population size) and complex covariate interactions. We select the best model with various metrics, including the score of a tenfold cross validation. Our results show that environmental variables should be included in the model as simple functional, unimodal terms. This leads to a model that is more similar to a generalized linear mixed model than the typical GAM with smoothers. Models including only smoothers performed worse as they have a poor skill to extrapolate beyond the sampled region. Additionally, accounting for the effect of population size on the spatial distribution of eggs was shown to be fundamental to better model performance. Graphical abstract

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Working Group on Mackerel and Horse Mackerel Egg Surveys (WGMEGS)

Cited by 2 publications

References 0 publications

Life History Strategy of Maurolicus muelleri (Gmenlin, 1789) in the Bay of Biscay

Life History Strategy of Maurolicus muelleri (Gmenlin, 1789) in the Bay of Biscay

Reviewing and improving spatiotemporal modeling approaches for mackerel’s total annual egg production

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