Modelling intra-annual variation in abundance of squid Loligo forbesi in Scottish waters using generalised additive models

Bellido, José María; Pierce, Graham J.; J, Wang

doi:10.1016/s0165-7836(01)00228-4

Cited by 77 publications

(60 citation statements)

References 43 publications

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“…Lum-Kong et al 1992;Pierce et al 2005) indicate a clear winter peak in maturation and spawning for L. forbesi in Scottish waters, which is consistent with the landings peak that occurs between October and December (Pierce et al 1994;Bellido et al 2001). However, as described for other loliginids such as Loligo gahi (Hatfield and Rodhouse 1994), there is evidence for winter and summer breeding cohorts -with the former tending to be the more important (Holme 1974;Collins et al 1997Collins et al , 1999.…”

Section: Introductionsupporting

confidence: 55%

“…Several studies on squid in UK waters have demonstrated empirical spatial relationships between the spatial distribution of Loligo abundance and environmental variables (Holme 1974;Pierce et al 1998;Bellido et al 2001).…”

Section: Gamm Results On Squid Abundancementioning

confidence: 99%

“…• C. Bellido et al (2001) first used GAM to model fishery abundance of L. forbesi in the years 1983, 1988, 1989 and 1991 and found that, once seasonal variation was taken into account, high abundance was consistently restricted to a temperature range of 8-13…”

Section: Gamm Results On Squid Abundancementioning

confidence: 99%

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Seasonal movements of veined squidLoligo forbesiin Scottish (UK) waters

Viana

Pierce

Illian

et al. 2009

Aquat. Living Resour.

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-In order to protect and sustainably manage fishery resource species, it is essential to understand their movements and habitat use. To detect the hypothesised migration of maturing veined squid Loligo forbesi from the west coast of Scotland (UK) to the North Sea and identify possible inshore-offshore movements, we analysed seasonal, spatial and environmental patterns in abundance and size distribution, based on commercial fishery landings data and trawl survey data from Scottish coastal waters (International Council for the Exploration of the Sea, ICES areas IVa, IVb and VIa). A geographic information system (GIS) was used to build monthly contour maps of abundance. Generalised additive mixed models (GAMM) were used to quantify patterns in size distribution and abundance. In most years, there was no evidence of movement from the West to the East coast of Scotland. Evidence of inshore-offshore movements during the life-cycle of the cohort that recruits in autumn (winter breeders) was found instead. The winter breeding cohort appears to spawn in inshore waters and some evidence suggests that the spawning grounds of the summer breeders are also inshore. Across seasons, higher abundance of L. forbesi can generally be found in the north of Scotland at intermediate water depths and in warmer waters.

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Section: Introductionsupporting

confidence: 55%

Section: Gamm Results On Squid Abundancementioning

confidence: 99%

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Seasonal movements of veined squidLoligo forbesiin Scottish (UK) waters

Viana

Pierce

Illian

et al. 2009

Aquat. Living Resour.

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“…These aforementioned variables might be important either as predictors for food availability or physiological suitability of the habitat, thus having a direct influence on the distribution of sardine echo abundance and eggs (e.g. SST, CHLA) or as proxies for causal factors (Bellido et al 2001). For example, SLA describe ocean processes such as gyres, meanders and eddies (Pujol & Larnicol 2005) that enhance productivity and often function as physical barriers differentiating the distribution of species or species' life stages.…”

Section: Environmental Datamentioning

confidence: 99%

Habitat suitability modelling for sardine Sardina pilchardus in a highly diverse ecosystem: the Mediterranean Sea

Tugores¹,

Giannoulaki²,

Iglesias³

et al. 2011

Mar. Ecol. Prog. Ser.

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Integrated information from different parts of the Mediterranean Sea was used to model the spatial and temporal variability of the distribution grounds of the sardine population. Acoustic data from the North Aegean Sea (Eastern Mediterranean), the Adriatic Sea (Central Mediterranean), the Sicily Channel (Central Mediterranean) and Spanish Mediterranean waters (Western Mediterranean) were analysed along with satellite environmental and bathymetric data to model the potential habitat of sardine during summer, autumn and early winter. Generalized additive models were applied in a presence−absence approach. Models were validated in terms of their predictive ability and used to construct maps exhibiting the probability of sardine presence throughout the entire Mediterranean basin as a measure of habitat adequacy for sardine. Bottom depth and sea surface temperature were the environmental variables that explained most of the data variability. Several areas along the Mediterranean coastline were indicated as suitable habitat for sardine in different seasons. An expansion of these areas over the continental shelf, up to 100 m depth, was consistently noticed from summer to winter. This was attributed to the horizontal movements of sardine related to spawning (i.e. winter period) and the peculiarities of the Mediterranean Sea where areas favouring growth, feeding and spawning processes tend to be localised and prevent a long range, offshore migration as opposed to large upwelling ecosystems. Moreover, within the study period, a positive relationship between the extent of sardine preferred habitat and landings was revealed for both summer and winter seasons throughout the entire Mediterranean Sea.

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“…Many statistical models have been developed for CPUE standardization: the generalized linear model (GLM) (Nelder and Wedderburn, 1972) is the most commonly used method in CPUE standardization, and its extension the generalized linear mixed model is also commonly used in evaluating the random effect of interactions (Pinheiro and Bates, 2000). Because of the limitations of the GLM in dealing with nonlinearity between dependent variables and multiple predictive variables, the generalized additive model (GAM) model is increasingly used recently for CPUE standardization (Bellido et al, 2001;Tian et al, 2009). However, these approaches may not work properly for some fisheries with unique characteristics, such as the neon flying squid (Ommastrephes bartramii) fishery in the north Pacific Ocean.…”

Section: Introductionmentioning

confidence: 99%

Generalized linear Bayesian models for standardizing CPUE: an application to a squid-jigging fishery in the northwest Pacific Ocean

Cao¹,

Chen²,

Chen³

et al. 2011

Sci. Mar.

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SUMMARY: Generalized linear Bayesian (GLBM) non-hierarchical and hierarchical models were developed for standardization of catch per unit effort (CPUE). The GLBM containing the covariates of month, latitude, sea surface temperature (SST), sea surface salinity (SSS) and sea level height (SLH) had the best fit for the Chinese squid-jigging fishery of Ommastrephes bartramii in the northwest Pacific Ocean based on deviance information criteria. This best-fitting model tends to be more ecologically sound than other CPUE standardization models, such as generalized linear models and generalized additive models. GLBM was also used to deal with the problems of estimating stock abundance index (i.e. standardized CPUE) resulting from increased spatial heterogeneity of spatial dynamics of fishing efforts in the squid fishery by predicting the standardized CPUE for unfished areas. The standardized CPUE based on data including predicted CPUE of unfished areas was lower than the derived CPUE based on data with observed CPUE alone, in particular during the fishing peak of August to October. This study indicates that it is more appropriate to use the standardized CPUE derived from data including both predicted CPUE of unfished areas and observed CPUE of fished area as a stock abundance index. We suggest that the proposed method be used in CPUE standardization to account for impacts of large spatial heterogeneity of fishing efforts in fisheries.Keywords: generalized linear Bayesian models, CPUE standardization, Ommastrephes bartramii, Chinese squid-jigging fishery, northwest Pacific Ocean. RESUMEN: Modelos lineales generalizados bayesianos para la estandardización de CPUE: aplicación a la pesquería de calamar mediante jigging en el Pacífico noroccidental. -Se desarrollan modelos lineales generalizados bayesianos (GLBM) jerárquicos y no-jerárquicos para la estandardización de captura por unidad de esfuerzo (CPUE). El modelo GLBM seleccionado para la pesquería del calamar Ommastrephes bartramii mediante jigging en el Pacífico noroccidental incorporó las variables explicativas mes, latitud, temperatura superficial del mar (SST), salinidad superficial del mar (SSS) y altura del nivel del mar (SLH). La selección del modelo se basó en el Criterio de Información de la Desviación (DIC). El modelo que mejor se ajustó a los datos tiene más sentido ecológico comparado con modelos de estandardización de CPUE basado en modelos lineales generalizados y modelos aditivos generalizados. Se utilizó también el GLBM para tratar el problema de la estimación de un índice de abundancia del stock (es decir, CPUE estandardizada) frente a la elevada heterogeneidad espacial en la dinámica del esfuerzo en la pesquería del calamar mediante la predicción de la CPUE estandardizada en áreas no pescadas. La CPUE estandardizada en base a los datos que incluyen la CPUE predicha en áreas no pescadas fue inferior a la CPUE derivada en base solamente a la CPUE observada, especialmente durante el pico de pesca de Agosto a Octubre. Este estudio muestra que es más aprop...

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Modelling intra-annual variation in abundance of squid Loligo forbesi in Scottish waters using generalised additive models

Cited by 77 publications

References 43 publications

Seasonal movements of veined squidLoligo forbesiin Scottish (UK) waters

Seasonal movements of veined squidLoligo forbesiin Scottish (UK) waters

Habitat suitability modelling for sardine Sardina pilchardus in a highly diverse ecosystem: the Mediterranean Sea

Generalized linear Bayesian models for standardizing CPUE: an application to a squid-jigging fishery in the northwest Pacific Ocean

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