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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
Peer reviewed article  
Beschikbaar in  Auteurs 
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
Auteurs  Top 
  • Kraak, S.B.M., meer
  • Pastoors, M.A., meer
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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