GLORIA

GEOMAR Library Ocean Research Information Access

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    facet.materialart.
    Unknown
    Urban & Fischer
    In:  Archive of Fishery and Marine Research, 49 . pp. 103-116.
    Publication Date: 2017-12-12
    Description: The ICES International Herring Larvae Survey Program (IHLS), regularly carried out since 1972 in the North Sea and adjacent areas, provides an abundance index to be utilised by the ICES Herring Assessment Working Group. This is one of three indices for assessing the state of the herring stock components in the North Sea by means of VPA (Virtual Population Analysis) related numerical procedures. Due to a substantial decline in ship time and sampling effort since the end of the 1980s, it was necessary to revise the IHLS survey design and the related procedure for calculating larval abundance indices, as major constraints of the formerly used indices (LAI, LPE) had been strongly violated. Using the historical herring larvae data base, which was transferred from Aberdeen (Scotland) to Kiel (Germany) in 1997, the current article analyses statistically the effects of this decline in effort, derives the optimum effort and presents its optimal allocation to specific sampling units defined by space and time. All investigations have been performed on the basis of an abundance index (MLAIyear) introduced in 1994 (Patterson and Beveridge 1994), which was derived from a linearized multiplicative model approach (log-transformed multifactor ANOVA). This MLAI approach was modified by introducing a weighting factor per sampling unit, taking into account differences in the spatial coverage of sampling and in the variation among stations within these sampling units
    Type: Article , NonPeerReviewed
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...