Evaluating habitat suitability indices derived from CPUE and fishing effort data for Ommatrephes bratramii in the northwestern Pacific Ocean

Tian, Shu; Chen, Xinjun; Chen, Yong; Xu, Liuxiong; Dai, Xiaojie

doi:10.1016/j.fishres.2008.08.012

Cited by 105 publications

(83 citation statements)

References 31 publications

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“…The particle-tracking experiment showed that paralarvae and juveniles aged <90 days remained on their spawning grounds and that Chl-a in this habitat, where 21°C<SST<25°C, had a significant positive correlation with the CPUE (Nishikawa et al 2014), and P s calculated by average optimal SST (21°C<SST<25°C) on the spawning ground would affect the survival of paralarvae and juveniles. Moreover, SST was the most important environmental factor in the formation of the fishing ground based on the HSI model and the neural network model (Tian et al 2009b, Wang et al 2014a. P f is a measure of habitat quality of the fishing ground and would affect individual growth.…”

Section: Discussionmentioning

confidence: 99%

Stock assessment for the western winter-spring cohort of neon flying squid (<em>Ommastrephes bartramii</em>) using environmentally dependent surplus production models

Wang¹,

Yu²,

Chen³

et al. 2011

Sci. Mar.

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Summary:The western winter-spring cohort of neon flying squid, Ommastrephes bartramii, is targeted by Chinese squidjigging fisheries in the northwest Pacific from August to November. Because this squid has a short lifespan and is an ecological opportunist, the dynamics of its stock is greatly influenced by the environmental conditions, which need to be considered in its assessment and management. In this study, an environmentally dependent surplus production (EDSP) model was developed to evaluate the stock dynamics of O. bartramii. Temporal variability of favourable spawning habitat with sea surface temperature (SST) of 21-25°C (P s ) was assumed to influence carrying capacity (K), while temporal variability in favourable feeding habitat areas with different SST ranges in different months (P f ) was assumed to influence intrinsic growth rate (r). The parameters K and r in the EDSP model were thus assumed to be linked to temporal variability in the proportion of P s and P f , respectively. According to Deviance Information Criterion values, the estimated EDSP model with P s was considered to be better than the conventional surplus production model or other EDSP models. For this model, the maximum sustainable yield (MSY) varied from 210000 to 262500 t and biomass at MSY level varied from 360000 to 450000 t. The fishing mortality rates of O. bartramii from 2003 to 2013 were much lower than the fishing mortality at target level and MSY level (F tar and F MSY ) and stock biomass was higher than B MSY , suggesting that this squid was not in the status of overfishing and stock was not overfished. The management reference points in the EDSP model for O. bartramii were more conservative than those in the conventional model. This study suggests that the environmental conditions on the spawning grounds should be considered in squid stock assessment and management in the northwest Pacific Ocean.Keywords: Ommartrephes bartramii; stock assessment; surplus production model; environmental factors; Northwest Pacific Ocean.Evaluación de la cohorte occidental de invierno-primavera del calamar volador neon (Ommastrephes bartramii) utilizando modelos de producción excedente dependientes del medio ambiente Resumen: La cohorte occidental de invierno-primavera de los calamares voladores neon, Ommastrephes bartramii, es objeto de las pesquerías chinas de calamares que operan con jigging en el Pacifico Noroeste, desde agosto a noviembre. Debido a que esta especie tiene un ciclo de vida corto y es ecológicamente oportunista, la dinámica de este stock de calamares está muy influenciada por las condiciones ambientales, las cuales necesitan ser consideradas en su evaluación y manejo. En este estudio fue desarrollado un modelo de producción excedente ambientalmente dependiente (PEAD), para evaluar la dinámica del stock de O. bartramii. Se asumió que la variabilidad temporal de un hábitat favorable para el desove sea a una temperatura superficial del mar de 21-25°C (P s ), para influir en la capacidad de carga (K); mientras que la variabilidad...

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Section: Discussionmentioning

confidence: 99%

Stock assessment for the western winter-spring cohort of neon flying squid (<em>Ommastrephes bartramii</em>) using environmentally dependent surplus production models

Wang¹,

Yu²,

Chen³

et al. 2011

Sci. Mar.

Self Cite

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“…Many environmental factors such as SST, SSH and Chl a determine the distribution of squid populations (Tian et al 2009a), and those factors are used to forecast the fishing grounds for squids. To remove possible effects of environmental factors in fishing processes, we standardized nominal CPUE.…”

Section: Standardizing Yearly Cpue By the Generalized Additive Modelmentioning

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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“…In the present study, Alosa was recorded with average weights of 55.9±4.54 (means ±SE) and 155.7±14.49 (means ±SE) in spring and winter seasons, respectively. To determine stock abundance index, representing the habitat preference (Maunder and Punt, 2004;Tian et al, 2009;Haghi Vayghan et al, 2013), the catch per unit area (CPUA) and number per unit area (NPUA) of each site were calculated using an equation designed by Sparre and Venema (1998).…”

Section: Study Area Fishery and Environmental Datamentioning

confidence: 99%

“…Habitat Suitability Index (HSI) models are valuable ecological tools N o n -c o m m e r c i a l u s e o n l y (Schamberger et al, 1982;Allen et al, 1983;Vinagre et al, 2006;Chen et al, 2009) that can be used to rapidly assess the relative potential of a habitat and may be combined with geographical information system (GIS) data to evaluate the habitat of a species. HSI models use suitability indices (SIs) as a function of one or more individual habitat variables that are scored on a standard scale of 0-1 to indicate the quality and suitability of habitats (Brown et al, 2000;Chen et al, 2009;Tian et al, 2009;Chen et al, 2010). A composite HSI score is then computed with a range of 0-1, from unsuitable to optimal habitat (Brooks, 1997).…”

Section: Introductionmentioning

confidence: 99%

“…The HSI models were developed to reflect the hypotheses of species-habitat relationships and facilitate environmental impact studies (Schamberger et al, 1982). When combined with adequate data about key habitat variables, the models have successfully predicted changes in fish species' spatial patterns worldwide Tian et al, 2009;Chen et al, 2010;Chang et al, 2013), including in the Caspian Sea (Haghi Vayghan et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Temporal habitat suitability modeling of Caspian shad (Alosa spp.) in the southern Caspian Sea

et al. 2015

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Evaluating habitat suitability indices derived from CPUE and fishing effort data for Ommatrephes bratramii in the northwestern Pacific Ocean

Cited by 105 publications

References 31 publications

Stock assessment for the western winter-spring cohort of neon flying squid (<em>Ommastrephes bartramii</em>) using environmentally dependent surplus production models

Stock assessment for the western winter-spring cohort of neon flying squid (<em>Ommastrephes bartramii</em>) using environmentally dependent surplus production models

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

Temporal habitat suitability modeling of Caspian shad (Alosa spp.) in the southern Caspian Sea

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