2020
DOI: 10.1016/j.fishres.2019.105405
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Intra-gear variation in sea turtle bycatch: Implications for fisheries management

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Cited by 9 publications
(5 citation statements)
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“…This and previous studies show that spatial information of bycatch can only be provided by fishers through voluntary logbook programmes (e.g. Cuevas et al, 2018; Cambie et al, 2020; Casale et al, 2020), especially where such data are not required by law, and therefore their involvement should be considered essential for the success of conservation projects. VMS data are being used to study the relationship between fishing effort and bycatch (e.g.…”
Section: Discussionmentioning
confidence: 57%
“…This and previous studies show that spatial information of bycatch can only be provided by fishers through voluntary logbook programmes (e.g. Cuevas et al, 2018; Cambie et al, 2020; Casale et al, 2020), especially where such data are not required by law, and therefore their involvement should be considered essential for the success of conservation projects. VMS data are being used to study the relationship between fishing effort and bycatch (e.g.…”
Section: Discussionmentioning
confidence: 57%
“…A key parameter is the total bycatch per metier (group of fishing operations targeting a specific assemblage of species, using specific gear, during a precise period of the year and/or within a specific area; Deporte et al, 2012) per year, which includes a measure of fishing effort (Equation 1). Although less precise than a metier-based approach (Cambiè et al, 2020), by-catch rates per fishing gear per year can be used when data on metier are not available.…”
Section: Indicator Measurement and Data Requirementsmentioning
confidence: 99%
“…It facilitates a more objective selection of the most appropriate number of clusters compared to simple visual inspection (Rousseeuw, 1987). One popular technique for selecting the most appropriate number of métiers is to maximize the average silhouette width across all métiers (e.g., Castro et al, 2010Castro et al, , 2011Cambiè et al, 2020). However, due to the high dimensionality and inherent disorder of our fisheries dataset and the fact that the optimal solution may still exhibit strong biases toward one or the other metrics, we were cautious to not solely select the k value that resulted in the maximum average silhouette width across all métiers.…”
Section: Choosing K and Cluster Validationmentioning
confidence: 99%