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Brage IMR
Research . 2006
Data sources: Brage IMR
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Measuring uncertainty in trawl surveys: implementation in DATRAS

Authors: Larsen, Lena Inger; Öberst, Rainer; Maxwell, David; Pennington, Michael; Sparholt, Henrik; Lassen, Hans;

Measuring uncertainty in trawl surveys: implementation in DATRAS

Abstract

Abstract The basic data from several ICES coordinated trawl and beam trawl surveys in the Baltic Sea, the North Sea, the area west of Scotland and France are stored in the DATRAS database in the ICES Secretariat; every year and for each survey member countries report data to the database. The DATRAS system offers facilities for the calculation of fish stock abundance indices, these indices are fed into the routine fish stock assessment work. The indices should be supplemented by an estimate of their uncertainty and the present paper suggests a bootstrap algorithm for implementation in DATRAS to calculate such estimates of variation for each stock/area index in a given year. The procedure is a two-step bootstrap routine whereby the length compositions and age-length key are bootstrapped independently, i.e. the uncertainty estimate is based on variability between catches in individual hauls in that year. The goal is to supplement the routine indices with uncertainties estimates in the future.

Country
Norway
Related Organizations
Keywords

VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920::Fisheries technology: 924, bestandsberegning, VDP::Agriculture and fishery disciplines: 900::Fisheries science: 920::Catch: 925, trawling, stock assessment, catch, fangst, tråling

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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