Standardized relative abundance indices for swordfish (Xiphias gladius Linnaeus, 1758) caught by the Spanish surface longline in the western Mediterranean Sea were estimated for the period 1988-2018. Standardized CPUEs in number were estimated through a General Linear Mixed Modeling (GLMM) approach under a negative binomial (NB) error distribution assumption. Standardized CPUEs in biomass were estimated through a General Linear Mixed Modeling (GLMM) approach under a log-normal error distribution assumption. The main factors in the standardization analysis were fishing area and time of the year (quarter). The standardized indices showed notable annual fluctuations without any definite trend for the period under study
Updated standardized catch rates in number and in weight were obtained using General Linear Modeling...
Standardized catch rates in number of fish by age were updated using log-normal General Linear Model...
Standardized catch rates in weight were updated using General Linear Modeling from scientific record...
Standardized relative abundance indices for swordfish (Xiphias gladius Linnaeus, 1758) caught by th...
Standardized relative abundance indices for swordfish (Xiphias gladius Linnaeus, 1758) caught by th...
A General Linear Modeling (GLM)approach to analysis of variance was used to analyze swordfish logge...
A General Linear Modeling (GLM) approach to analysis of variance was used to analyze swordfish logg...
Nominal catch rates of the Spanish surface longline fleet targeting swordfish are provided for a per...
Standardized catch rates of the Spanish surface longline fleet targeting swordfish are provided for ...
Standardized catch rates of the Spanish surface longline fleet targeting swordfish are provided for ...
Standardized catch rates in number and biomass were updated using General Linear Modeling (GLM) proc...
Standardized catch rates in weight were obtained using General Linear Modeling (GLM) from sets carri...
Standardized catch rates of the Spanish surface longline fleet targeting swordfish are provided for ...
Preliminarystandardized catch rates in biomass were obtained using General Linear Modeling (GLM) pro...
Updated standardized catch rates in number and in weight were obtained using General Linear Modeling...
Updated standardized catch rates in number and in weight were obtained using General Linear Modeling...
Standardized catch rates in number of fish by age were updated using log-normal General Linear Model...
Standardized catch rates in weight were updated using General Linear Modeling from scientific record...
Standardized relative abundance indices for swordfish (Xiphias gladius Linnaeus, 1758) caught by th...
Standardized relative abundance indices for swordfish (Xiphias gladius Linnaeus, 1758) caught by th...
A General Linear Modeling (GLM)approach to analysis of variance was used to analyze swordfish logge...
A General Linear Modeling (GLM) approach to analysis of variance was used to analyze swordfish logg...
Nominal catch rates of the Spanish surface longline fleet targeting swordfish are provided for a per...
Standardized catch rates of the Spanish surface longline fleet targeting swordfish are provided for ...
Standardized catch rates of the Spanish surface longline fleet targeting swordfish are provided for ...
Standardized catch rates in number and biomass were updated using General Linear Modeling (GLM) proc...
Standardized catch rates in weight were obtained using General Linear Modeling (GLM) from sets carri...
Standardized catch rates of the Spanish surface longline fleet targeting swordfish are provided for ...
Preliminarystandardized catch rates in biomass were obtained using General Linear Modeling (GLM) pro...
Updated standardized catch rates in number and in weight were obtained using General Linear Modeling...
Updated standardized catch rates in number and in weight were obtained using General Linear Modeling...
Standardized catch rates in number of fish by age were updated using log-normal General Linear Model...
Standardized catch rates in weight were updated using General Linear Modeling from scientific record...