Prognoses of sea-fish species catches in Greece in biological and biodiversity risk

Abstract

Multidimensional time series database on fishery in Greece stores data of Greek fishery sector on biological, economical and technical aspects. Time series on total quantity as well as on each area of fish catches per specie are processed in order to estimate fish species at biological and biodiversity risk. Trend modelling of time series on catch quantity of fishes at risk is applied. In case of existing trend the prognosis (forecasting) of the catch quantity is based on the attained best trend model. Otherwise short analysis and prognoses are realised using the Weighted Moving Average Method. The achieved information is important for fish resources exploitation and protec