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Other literature type . 2025
License: CC BY
Data sources: ZivaHub - Open Data UCT
ZivaHub
Other literature type . 2025
License: CC BY
Data sources: Datacite
ZivaHub
Other literature type . 2025
License: CC BY
Data sources: Datacite
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GLM-standardised rock lobster (Jasus tristani) vessel CPUE at Tristan

descriptionPublicationkeyboard_double_arrow_right Other literature type 01 Jan 2025 South Africa Publisher:University of Cape Town
Authors: Holloway, Susan;

doi: 10.25375/uct.28986977 , 10.25375/uct.28986977.v1

GLM-standardised rock lobster (Jasus tristani) vessel CPUE at Tristan

Abstract

A GLM method is described which is used to standardise the vessel CPUE data at Tristan. The vessel CPUE provides a more optimistic indication of stock status than the powerboat CPUE for the2017-20211+ seasons, but this trend is reversed for the 2024 season.

Country
South Africa
Related Organizations
Keywords

Applied statistics, Tristan rock lobster, Jasus tristani, catch per unit effort (CPUE), Biological mathematics, fisheries resource assessment and management, MARAM, Biostatistics, GLM-standardised CPUE, Generalised Linear Models (GLMs)

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    influence
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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!
0
Average
Average
Average
Green