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Het OWA, het open archief van het Waterbouwkundig Laboratorium heeft tot doel alle vrij toegankelijke onderzoeksresultaten van dit instituut in digitale vorm aan te bieden. Op die manier wil het de zichtbaarheid, verspreiding en gebruik van deze onderzoeksresultaten, alsook de wetenschappelijke communicatie maximaal bevorderen.

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one publication added to basket [200871]

Biased stock assessment when using multiple, hardly overlapping, tuning series if fishing trends vary spatially Kraak, S.B.M.; Pastoors, M.A. (2009). Biased stock assessment when using multiple, hardly overlapping, tuning series if fishing trends vary spatially. ICES J. Mar. Sci./J. Cons. int. Explor. Mer 66(10): 2272-2277. https://dx.doi.org/10.1093/icesjms/fsp179 In: ICES Journal of Marine Science. Academic Press: London. ISSN 1054-3139; e-ISSN 1095-9289, meer

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Beschikbaar in	Auteurs
VLIZ: Open access 216892 [ download pdf ]

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Trefwoorden

Age > Biological age > Age at recruitment Simulation Spatial variations Statistics > Fishery statistics > Catch statistics Stock assessment Marien/Kust

Author keywords

North Sea plaice; simulation; spatial effort variation; statisticalcatch-at-age; stock-assessment performance; tuning indices; XSA

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Auteurs		Top
Kraak, S.B.M., meer Pastoors, M.A., meer

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Abstract

Fishing-effort distributions are subject to change, for autonomous reasons and in response to management regulations. Ignoring such changes in a stock-assessment procedure may lead to a biased perception. We simulated a stock distributed over two regions with inter-regional migration and different trends in exploitation and tested the performance of extended survivors analysis (XSA) and a statistical catch-at-age model in terms of bias, when spatially restricted tuning series were applied. If we used a single tuning index that covered only the more heavily fished region, estimates of fishing mortality and spawning-stock biomass were seriously biased. If two tuning series each exclusively covering one region were used (without overlap but together covering the whole area), estimates were also biased. Surprisingly, a moderate degree of overlap of spatial coverage of the two tuning indices was sufficient to reduce bias of the XSA assessment substantially. However, performance was best when one tuning series covered the entire stock area.

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