Is it possible to differentiate between environmental and fishery effects on abundance‐biomass variation? A case study of blackspot seabream (Pagellus bogaraveo) in the Strait of Gibraltar

We assessed the potential for simulation and modelling of the blackspot seabream (Pagellus bogaraveo) population in the Strait of Gibraltar to discriminate the environmental effects of fishery impacts. A discrete biomass–abundance dynamic model was implemented to obtain a simulated monthly time seri...

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Veröffentlicht in:Fisheries oceanography 2017-07, Vol.26 (4), p.455-475
Hauptverfasser: Gutiérrez‐Estrada, Juan Carlos, Gil‐Herrera, Juan, Pulido‐Calvo, Inmaculada, Czerwinski, Ivone Alejandra
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container_end_page 475
container_issue 4
container_start_page 455
container_title Fisheries oceanography
container_volume 26
creator Gutiérrez‐Estrada, Juan Carlos
Gil‐Herrera, Juan
Pulido‐Calvo, Inmaculada
Czerwinski, Ivone Alejandra
description We assessed the potential for simulation and modelling of the blackspot seabream (Pagellus bogaraveo) population in the Strait of Gibraltar to discriminate the environmental effects of fishery impacts. A discrete biomass–abundance dynamic model was implemented to obtain a simulated monthly time series of blackspot seabream biomass. On this simulated time series, autoregressive integrated moving average (ARIMA) models were fitted. The best ARIMA fit provided a significant correlation of 0.76 and persistence index higher than 0.85. The proportion of variance non‐explained by the ARIMA models was correlated with a time series of sea surface temperature (SST) and North Atlantic Oscillation (NAO). The analysis of global, annual and winter correlation between the proportion of variance not explained by the ARIMA models and environmental variables showed that significant associations were not detected over the full time series. Our analysis therefore suggests that overexploitation is the main factor responsible for the commercial depletion of blackspot seabream in the Strait of Gibraltar.
doi_str_mv 10.1111/fog.12208
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The analysis of global, annual and winter correlation between the proportion of variance not explained by the ARIMA models and environmental variables showed that significant associations were not detected over the full time series. 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source Wiley Online Library - AutoHoldings Journals
subjects Abundance
Atmospheric forcing
autoregressive integrated moving average models
Autoregressive models
Biomass
biomass time series
Blackspot
Case studies
computational simulation
Computer simulation
Correlation
Correlation analysis
Depletion
Environment models
Environmental effects
Fisheries
Modelling
North Atlantic Oscillation
Ocean-atmosphere system
Overexploitation
Sea surface
Sea surface temperature
Simulation
Statistical analysis
Straits
Surface temperature
Temperature
Temperature effects
Time series
Variance
Variance analysis
Winter
title Is it possible to differentiate between environmental and fishery effects on abundance‐biomass variation? A case study of blackspot seabream (Pagellus bogaraveo) in the Strait of Gibraltar
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