Sampling trips for measuring discards in commercial fishing based on multilevel modelling of measurements in the North Sea from NE England

Citation
D. Tamsett et G. Janacek, Sampling trips for measuring discards in commercial fishing based on multilevel modelling of measurements in the North Sea from NE England, FISH RES, 42(1-2), 1999, pp. 103-115
Citations number
3
Categorie Soggetti
Aquatic Sciences
Journal title
FISHERIES RESEARCH
ISSN journal
01657836 → ACNP
Volume
42
Issue
1-2
Year of publication
1999
Pages
103 - 115
Database
ISI
SICI code
0165-7836(199908)42:1-2<103:STFMDI>2.0.ZU;2-Z
Abstract
This study estimates the effects of variables (fishing, spatial, temporal) on discarding and proposes a scheme for measuring discarding. Data are used from fishing in the English North Sea for cod, haddock and whiting. Analys is of variance of discarding rates (numbers discarded/numbers caught) has p rovided estimates of components of variance associated with variables. Sign ificant estimates of components of variance have emerged from data spanning 3 years. There is a large component of variance associated with trips (the lowest level at which data are available) reflecting an inherent noisiness in discarding rates. For haddock and whiting, there are significant compon ents of variance associated with years. An effect of years on cod was not f ound for the years for which data are available. The variables: gear type, port of landing, fishing grounds and quarter, are crossed at a common level . Of these gear contributes the greatest variation in discarding rates. Por t and grounds are also important contributors. Quarter has a small but sign ificant effect. Multivariate analysis of variance has produced evidence for strong multilevel correlations in discarding rates between haddock and whi ting. Discarding rates vary significantly with size of catch (trip) for cod and for haddock. Variables are reduced to strata, and analyses of variance for models incorp orating strata carried out. An approach to sampling based on stratification with proportional allocation is discussed. This provides efficient samplin g and ensures representative sampling in a problem for which there are rela tively few observations, and several variables affecting the response varia ble. (C) 1999 Elsevier Science B.V. All rights reserved.