1980
DOI: 10.1139/f80-273
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Use of a Multiplicative Model to Estimate Catch Rate and Effort from Commercial Data

Abstract: The multiplicative model described by Robson can be used to obtain estimates of annual standardized catch rate and its variance by including years in the model. The corresponding estimate of standardized effort is the ratio of the total catch and the estimated catch rate. If the error is assumed to be lognormally distributed then these estimators have well defined statistical properties.Key words: effort standardization, catch rate, multiplicative model, stock assessment

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Cited by 159 publications
(116 citation statements)
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“…However, the lack of linearity, the variation of catchability with abundance or the wide fraction of the variance that is not explained in the relationship between CPUE and abundance (Paloheimo and Dickie, 1964;Cooke, 1985;Shardlow, 1993), can lead to potentially misleading evaluations (Peterman and Steer, 1981;Shardlow, 1993). Since the work of Gavaris (1980), linear models have been increasingly used in order to contemplate these prerequirements, with more information being requested, generating a demand for identifying the variables that explain most of the variance (Vignaux, 1996). This can be done through variables that are relatively easy to follow, such as size of the ships and information about the effort (Palsson and Durrenberger, 1982), even though such variables do not explain an acceptable or significant minimum in some fisheries (Hilborn andLedbetter, 1985, Merona andGascuel, 1993).…”
Section: Discussionmentioning
confidence: 99%
“…However, the lack of linearity, the variation of catchability with abundance or the wide fraction of the variance that is not explained in the relationship between CPUE and abundance (Paloheimo and Dickie, 1964;Cooke, 1985;Shardlow, 1993), can lead to potentially misleading evaluations (Peterman and Steer, 1981;Shardlow, 1993). Since the work of Gavaris (1980), linear models have been increasingly used in order to contemplate these prerequirements, with more information being requested, generating a demand for identifying the variables that explain most of the variance (Vignaux, 1996). This can be done through variables that are relatively easy to follow, such as size of the ships and information about the effort (Palsson and Durrenberger, 1982), even though such variables do not explain an acceptable or significant minimum in some fisheries (Hilborn andLedbetter, 1985, Merona andGascuel, 1993).…”
Section: Discussionmentioning
confidence: 99%
“…Catch rate, expressed in kg h 1 , was standardized using the multiplicative model (Gavaris, 1980) to correct for variation in vessel tonnage class (related to fishing power) and country. Factors previously recognized as affecting the interpretation of CPUE data are tonnage category, country, area, season, and gear.…”
Section: Methodsmentioning
confidence: 99%
“…Area, season, and gear were not confounding factors for this analysis because our spatial analysis more appropriately Figure 1. Winter distribution of northern Atlantic cod (January to April) averaged over 1980-1991(modified from Wroblewski et al, 1995. The irregular outline of an area stretching from just south of 48 N to 55 N plus two areas on the Grand Banks represents the extent of the observed cod concentrations (where catch rates exceeded 1.5 t h 1 ).…”
Section: Methodsmentioning
confidence: 99%
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“…M e a n l n transformed CPUE data were grouped by cells defined by time of day, month and year and were analyzed by a three-way ANOVA (Gavaris, 1980;Anon., 1985), i.e. : Ln (catch per hour…”
Section: Commercial Bottom Trawl Datamentioning
confidence: 99%