Biomass and distribution of the jumbo squid (Dosidicus gigas; d’Orbigny, 1835) in the Gulf of California, Mexico

Nevárez-Martı́nez, Manuel O.; Hernández-Herrera, Agustı́n; Morales-Bojórquez, Enrique; Balmori-Ramı́rez, Alejandro; Cisneros-Mata, Miguel Á.; Morales-Azpeitia, Rufino

doi:10.1016/s0165-7836(00)00198-3

Cited by 48 publications

(68 citation statements)

References 7 publications

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“…La influencia de estos eventos en nuestro caso, puede considerarse como una fuente de error asociada al modelo (error de proceso). En este caso, dado que la pesquería está sustentada en una cohorte anual que tiene reclutamiento en mayo (Hernández-Herrera et al, 1998;Nevárez-Martínez et al, 2000), las recomendaciones tienen efecto inmediato sobre la dinámica de la población y sobre la elección de políticas de pesca de este recurso, el cual es principalmente explotado por la flota camaronera como una alternativa rentable (MoralesBojórquez y López-Martínez, 1999;Morales-Bojórquez et al, 2001a).…”

Section: Discussionunclassified

“…The influence of these events, in our case, can be considered as an error source associated to the model (process error). In this case, given that the fishery is sustained in an annual cohort that recruits in May (Hernández-Herrera et al, 1998;Nevárez-Martínez et al, 2000), the recommendations have an immediate effect on the population dynamics and on choosing fishing policies for this resource, which is mainly exploited by the shrimp fleet as a profitable alternative (Morales-Bojórquez and López-Martínez, 1999;Morales-Bojórquez et al, 2001a).…”

Section: Discussionmentioning

confidence: 99%

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Stochastic estimation of the catchability and recruitment of the jumbo squid Dosidicus gigas (D'Orbigny, 1835) Of The Gulf Of California, Mexico

Morales-Bojórquez

Martínez²

2002

Cienc. Mar.

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In this paper a depletion model with two different approaches (stochastic and deterministic) was analyzed, in order to compare the observation error hypothesis in the catch-per-unit effort (CPUE) data, and the process error in the model, as well as its effect on the recruitment and catchability estimates in the jumbo squid fishery from the Gulf of California, Mexico. Results showed an underestimation of the catchability (q) when the deterministic aproach was used. The observation error showed a bias in q (+31%) higher than in recruitment (+8%), while a Monte Carlo simulation estimated a negative bias for q, and a positive bias in recruitment. The computation of the expected value of catchability ( E(ˆqCPUE/Ci)) was 2.8 × 10–4, while the confidence intervals with the deterministic model were 3.3 × 10–4 < q < 4.1 × 10–4, showing that the estimate of E(ˆqCPUE/Ci) was not within these confidence intervals. E(ˆqCPUE/Ci) fitted the model to the data, describing the trend of the CPUE index in time, and its implications in the management of the jumbo squid fishery.

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Section: Discussionunclassified

Section: Discussionmentioning

confidence: 99%

Stochastic estimation of the catchability and recruitment of the jumbo squid Dosidicus gigas (D'Orbigny, 1835) Of The Gulf Of California, Mexico

Morales-Bojórquez

Martínez²

2002

Cienc. Mar.

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“…According to some observations made during a survey carried out in 1996, 1997 and 1998 zones with high concentration of D. gigas have been shown between Santa Rosalía and Guaymas, whereas no catch was recorded South of Loreto, B.C.S, and Yavaros, Sonora. In this case, the squid fishery is developed principally between Santa Rosalía and Guaymas (Nevárez-Martínez et al, 2000). Rosenberg et al (1990) showed, with CPUE data, the possibility of applying a management strategy for squid fisheries using the proportional escapement as a tool for the control of the fishing effort.…”

Section: Discussionmentioning

confidence: 99%

Population size and exploitation of giant squid (<i>Dosidicus gigas</i> D'Orbigny, 1835) in the Gulf of California, Mexico

et al. 2001

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“…D. gigas fisheries occur off the coast of Peru (Taipe et al 2001), and Central America (Ichii et al 2002) and in the Gulf of California, Mexico (Nevárez-Martínez et al 2000). D. gigas's population structure is not well defined, but based on individual mantle lengths it may include three stocks: large, medium and small sizes (Argüelles et al 2001).…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2017

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Summary: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 variablessuitable 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.Influencia de factores ambientales sobre potas oceánicas (Cephalopoda: Ommastrephidae) explotadas comercialmente: un enfoque para la gestión de stocks Resumen: Los miembros de la familia Ommastrephidae (potas) son cefalópodos de vida breve y oportunistas ecológicos, estando sus reclutamientos profundamente influidos por el ambiente circundante. Aunque algunos estudios recientes sugirieron que la variabilidad del reclutamiento en varias especies de esta familia podría explicarse parcialmente por la variabilidad ambiental derivada de datos oceanográficos sinópticos, la gestión de los stocks de omastréfidos empleando factores medioambientales es muy poco frecuente. En el presente trabajo, se ha modificado un modelo de producción generalizada incorporando en él factores ambientales con objeto de ofrecer una herramienta para la gestión y manejo de tres pesquerías: la de Ommastrephes bartramii en el Pacífico Noroeste, la Illex argentinus en el Atlántico sudoeste y la de Dosidicus gigas en el Pacífico sudoeste. Se asumió que los factores ambientales clave: una apropiada temperatura superficial en las áreas de puesta durante las épocas de freza y en las áreas de alimentación durante las estaciones de nutrición, tenían efectos sobre la capacidad de carga y el crecimiento instantáneo de la tasa de crecimiento de la población, respectivamente, en el modelo de producción generalizada. Para el stock de cada especie, el modelo de gestión con las variables a...

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Biomass and distribution of the jumbo squid (Dosidicus gigas; d’Orbigny, 1835) in the Gulf of California, Mexico

Cited by 48 publications

References 7 publications

Stochastic estimation of the catchability and recruitment of the jumbo squid Dosidicus gigas (D'Orbigny, 1835) Of The Gulf Of California, Mexico

Stochastic estimation of the catchability and recruitment of the jumbo squid Dosidicus gigas (D'Orbigny, 1835) Of The Gulf Of California, Mexico

Population size and exploitation of giant squid (<i>Dosidicus gigas</i> D'Orbigny, 1835) in the Gulf of California, Mexico

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

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