The spatial-temporal dynamics of standardized abundance indices of krill in Area 48 based on the CCAMLR catch statistics was analyzed using GLMM with Tweedie’s distribution.In the yesteryear the authors revealed “diagnostics specificity” of GLMM tuning for CPUE standardization: many hauls to be interpreted as “outliers”, i.e. the hauls where residuals significantly deviated from the normal distribution. In this study the approaches to improve the diagnostics of GLLM tuning by using aggregated haul-by-haul data are shown. The trends of CPUE spatial-temporal variability and the factors contributing this variability at different degree of aggregated fishery statistics have been presented. In additional the long-term patterns of krill fishery in the Subareas 48.1-48.3 were studied taking in account the spatial correlation and applying the Principle-Component Analysis.
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