Objective
The main aim of the project is to provide estimates of the food consumption rate of whiting which are applicable in a multispecies assessment context. In order to make the consumption estimates applicable the main objective is to estimate the parameters and shape for a generalized model of stomach evacuation and daily ration based on natural food items and key variables influencing evacuation rates: predator size; prey size and type; temperature; feeding level; and temporal feeding pattern.
Ration will be estimated from bioenergetic models based on experiments with natural food items, natural growth rates and with inclusion of activity as a variable.
Whiting has been selected due to its status as the key predator on commercial fish species in the North Sea. Some supplementary work will be done on cod, mainly because cod is useful as a test organism for the methodological developments needed for the project.
The project consists of a series of stomach evacuation experiments, a series of bioenergetic experiments, field experiments and sampling of stomach contents and activity and model evaluations based on experiments and field data. Some methodological studies are needed to evaluate the sensitivity of results to methods implemented and to enable adaptability in methodology. The project is divided into 3 phases as follows.
Phase 1 (1 year) involves analysis of existing data; methodological studies for experimental approach based on 0-groups; first field experiments on 0-group whiting; first multifactorial experiments with 0-group whiting; and experimental measurements of activity of 0-group whiting.
Phase 2 involves multifactorial experiments with 1+ group whiting, field sampling of activity, and continued field experiments on 0-group whiting.
Phase 3 (0.5 years) involves compilation of data, analysis, modelling and reporting.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
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9850 Hirtshals
Denmark