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The length frequency distributions (LFDs) of shrimp (Pandalus borealis, Krøyer 1984) in the Barents Sea varies not only spatially but also over time. The stations are defined in four groups using a Spearman correlation analysis on the LFDs and then a cluster analysis. These groups are defined according to the size distribution so that the stations with many small shrimp make one group and the stations with the largest shrimp form the fourth group. The distribution is depth dependent for the first three groups while the largest shrimp occur in all depths and may be selected by strong current. To get a good picture of the growth performance in an area it is important to get a broad LFD where all length groups are present. This is a special challenge when planning the sampling design. Cohort analysis of LFDs for 1992 to 1998 show that shrimp in the southern Barents Sea grow faster than in the northern Barents Sea. On the basis of similar growth performance 14 sub-areas are defined. One may run further population analysis for each sub-area. However, this may get difficult due to grate variability especially in catch data when splitting into smaller areas. One should keep the high solution of data when preparing input data for further analysis. One may sum up e.g. the number of individuals in each year class in each area and then run production models or Multispecies virtual population analysis for the hole Barents Sea.

Spatial Variability in Length Frequency Distribution and Growth of Shrimp (Pandalus borealis Krøyer 1838) in the Barents Sea