2019
DOI: 10.1016/j.fishres.2018.09.011
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Inferring abundance trends of key species from a highly developed small-scale fishery off NE Atlantic

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Cited by 19 publications
(15 citation statements)
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“…In this sense, progressive reduction in the conservation status of fish stocks perceived by the recreational fishers was supported by decreases up to 76% in body size of European conger, European seabass, maragota, pinto and white seabream estimated by Pita and Freire (2014) in the last 50 years ( Table 2). Changes in conservation status were also similar for several fish stocks to abundance trends estimated by Alonso-Fernández et al (2019). The smaller time series analyzed by Alonso-Fernández et al (2019) (16 years) than that in this study (up to 50 years) could explain the lower decreases that they found, and even the small increases shown for ballan wrasse, common octopus and white seabream ( Table 2).…”
Section: Discussionsupporting
confidence: 84%
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“…In this sense, progressive reduction in the conservation status of fish stocks perceived by the recreational fishers was supported by decreases up to 76% in body size of European conger, European seabass, maragota, pinto and white seabream estimated by Pita and Freire (2014) in the last 50 years ( Table 2). Changes in conservation status were also similar for several fish stocks to abundance trends estimated by Alonso-Fernández et al (2019). The smaller time series analyzed by Alonso-Fernández et al (2019) (16 years) than that in this study (up to 50 years) could explain the lower decreases that they found, and even the small increases shown for ballan wrasse, common octopus and white seabream ( Table 2).…”
Section: Discussionsupporting
confidence: 84%
“…The improvements in the monitoring, reporting, enforcement and control of commercial fisheries in the last decade could have also hyper-stabilize some trends in commercial landings (Villasante et al, 2016). In spite of a reduction in the fisheries effort (Alonso-Fernández et al, 2019;, technical operational improvements (e.g., hydraulic haulers) could have also have an impact on commercial landings. Nevertheless, trends in commercial catches are in general consistent with recreational fishers' perceptions about declines in stocks.…”
Section: Discussionmentioning
confidence: 99%
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“…The sampling unit was a set (i.e., the three linked traps), and species‐specific generalized linear mixed‐effect models (GLMMs) with a negative binomial distribution were fitted using the R package glmmTMB (Brooks et al 2017). Generalized linear mixed‐effect models are widely applied to spatiotemporal catch and length data in fisheries; this flexible modeling framework allows for assessing and accounting for the effects of environmental covariates and random effects and provides standardized CPUE and length estimates (Maunder and Punt 2004; Thorson and Minto 2015; Alonso‐Fernández et al 2019). The following model structure, defined a priori, was applied:…”
Section: Methodsmentioning
confidence: 99%
“…Variation in the spatiotemporal distribution of fisheries and affected species could also have a considerable impact on the selectivity pattern and catch rates in SSFs. This awareness is important for stock assessments, as catch and length data are often used to monitor temporal changes in stock status within SSFs, but such trends are likely to be biased if depth and other important environmental covariates are not accounted for (Glazer and Butterworth 2002; Bigelow and Maunder 2007; Alonso‐Fernández et al 2019).…”
Section: Species Depth Range (M) Life History Characteristics Norwegimentioning
confidence: 99%