2003
DOI: 10.3989/scimar.2003.67n3341
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Quantifying the roles of competing static gears: comparative selectivity of longlines and monofilament gill nets in a multi-species fishery of the Algarve (southern Portugal)

Abstract: SUMMARY: Fishing trials with monofilament gill nets and longlines using small hooks were carried out in Algarve waters (southern Portugal) over a one-year period. Four hook sizes of "Mustad" brand, round bent, flatted sea hooks (Quality 2316 DT, numbers 15, 13, 12 and 11) and four mesh sizes of 25, 30, 35 and 40 mm (bar length) monofilament gill nets were used. Commercially valuable sea breams dominated the longline catches while small pelagics were relatively more important in the gill nets. Significant diffe… Show more

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Cited by 58 publications
(56 citation statements)
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References 24 publications
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“…As reported by ERZINI et al, (2003), catch size frequency distributions for the species caught by both gears were generally significantly different, with longlines catching larger fish and a wider size range than gill nets. Significant numbers of undersized fish were caught by gill nets, especially those of 50 mm and 60 mm mesh sizes, relatively few if any undersized fish of most commercially important species were caught by longlines.…”
Section: Discussionmentioning
confidence: 52%
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“…As reported by ERZINI et al, (2003), catch size frequency distributions for the species caught by both gears were generally significantly different, with longlines catching larger fish and a wider size range than gill nets. Significant numbers of undersized fish were caught by gill nets, especially those of 50 mm and 60 mm mesh sizes, relatively few if any undersized fish of most commercially important species were caught by longlines.…”
Section: Discussionmentioning
confidence: 52%
“…For gear such as longlines that have logistic type selectivity (ERZINI et al, 1998a(ERZINI et al, , 2003, the optimal hook size can be determined based on yield-per-recruit analysis, considering changes in yield resulting from changes in selectivity functions (GULLAND, 1961(GULLAND, , 1963PAULY, 1988). Several approaches extend the single species to the multi-species case by grouping species with similar life history parameters (PAULY, 1988;SAINSBURY, 1984;PAULY et al, 1989).…”
Section: Discussionmentioning
confidence: 99%
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“…How good the fit was was evaluated by comparison of deviances, the lowest deviance value corresponding to the best fitting model (DOS SANTOS et al, 2003;ERZINI et al, 2003), and the analysis of residual plots as in MILLAR and HOLST (1997). A collection of the most commonly used selection curves (HOLST et al, 1996), estimated by this software, is given in Table 1.…”
Section: Methodsmentioning
confidence: 99%