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GLM standardisation of recent commercial CPUE data for Greenland halibut for Canada, Portugal and Spain which allows for finer spatial stratification.

Authors: Brandão, Anabela; Rademeyer, Rebecca A; Butterworth, Doug S;

GLM standardisation of recent commercial CPUE data for Greenland halibut for Canada, Portugal and Spain which allows for finer spatial stratification.

Abstract

Updated CPUE data for the Canadian, Portugese and Spanish fleets are standardised using GLMs with an overdispersed Poisson error structure, and allowing for finer spatial stratification than the Division level to correct for possible redistribution of fishing towards higher density areas. Results for standardisations without year-interactions do show the recent increases evident in the nominal CPUE data; these results are independent of the extent of spatial stratification, and are broadly compatible with previous standardisation exercises, except for now showing a higher rate of recent increase in the Canadian case. However, the introduction of either Division or depth interaction terms with year in the standardisation does reduce the extent of the recent rate of increase.

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South Africa
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
Average
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