2019
DOI: 10.1016/j.jmarsys.2018.08.005
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Environment or catches? Assessment of the decline in blackspot seabream (Pagellus bogaraveo) abundance in the Strait of Gibraltar

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Cited by 9 publications
(8 citation statements)
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References 57 publications
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“…However, these findings contrast with the results of our study which indicate that the effects of NAO on landings would only be concentrated in some particular years. These years coincide with the most volatile years in terms of landings (between 1993-1998 and 2007-2011, approximately), which would support the results of Gutiérrez-Estrada et al (2017) and Sanz-Fernández et al (2019). These authors reported that the Blackspot seabream abundance has low resilience to climatic-oceanic variability when the potential biomass is at low levels.…”
Section: Volatility and The Garch Family Of Modelssupporting
confidence: 73%
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“…However, these findings contrast with the results of our study which indicate that the effects of NAO on landings would only be concentrated in some particular years. These years coincide with the most volatile years in terms of landings (between 1993-1998 and 2007-2011, approximately), which would support the results of Gutiérrez-Estrada et al (2017) and Sanz-Fernández et al (2019). These authors reported that the Blackspot seabream abundance has low resilience to climatic-oceanic variability when the potential biomass is at low levels.…”
Section: Volatility and The Garch Family Of Modelssupporting
confidence: 73%
“…Water temperature anomaly (ºC) and NAO climate index were used as explanatory variables of the results produced by volatility (Báez et al., 2014; Gutiérrez‐Estrada et al., 2017; Sanz‐Fernández et al., 2019). The data on temperature (°C) were obtained for a monthly period of 33 years 1983–2015 from the Simple Ocean Data Assimilation (SODA) v 3.3.1 (http://www.atmos.umd.edu/%7Eocean).…”
Section: Methodsmentioning
confidence: 99%
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“…For example Probst et al (2013) simulated the evolution of a cod stock over a 120-year period with the aim of identifying viable size-based indicators (SBIs) for the assessment of stock abundance. Likewise, Gutiérrez-Estrada et al (2017) and Sanz-Fernández et al (2019) obtained realistic simulations of the evolution of the abundance and biomass of Blackspot seabream (Pagellus bogaraveo) in the Strait of Gibraltar based on the information available on the biology of this species. From the simulated series these authors extracted time series of residuals that were correlated with environmental and climatic parameters, which allowed them to identify more or less favourable environmental periods with respect to the increase or decrease of the predicted abundance of this Blackspot seabream population.…”
Section: Introductionmentioning
confidence: 99%
“…The advantage of this type of approach is that the statistical correlations or functional relationships obtained do not depend on CPUE or LPUE time series. However, due to the nature of the time series of residues, they present the disadvantage of the difficulty in interpreting the correlations obtained (Sanz-Fernández et al, 2019).…”
Section: Introductionmentioning
confidence: 99%