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Title: Development of a Lifecycle Simulation Model for Atlantic Salmon.
Author: R J Wyatt
Author: Environment Agency
Author: S Barnard
Document Type: Monograph
Annotation: Environment Agency Project ID:EAPRJOUT_302, Representation ID: 64, Object ID: 1648
This report reviews the different approaches that have been used to model animal populations. It is concluded that a stochastic simulation model is required for salmon management Methods used for developing fishery simulation models are reviewed, with particular attention to the approaches taken to model formulation, calibration and validation. For many salmon models an ad-hoc approach has been used for model calibration. However, for the proposed Agency model, it is recommended that a Bayesian approach is used, following recent trends in marine fishery model development. This will allow parameter estimates from other fisheries to be combined with river-specific data, and will provide an appropriate probabilistic framework for decision analysis. The review concludes with a description of the reported parameter estimates for salmon populations, including values for key life-stage parameters such as juvenile survival, marine survival and exploitation rates. Particular attention is paid to the data generated from the Environment Agency's Dee Stock Assessment Programme (DSAP), on which the model will initially be calibrated.
Publisher: Environment Agency
Subject Keywords: SalmonLife cycleFishery managementSpawningRiversEstuariesOceanographyPopulationStock assessmentMathematical modelsMarine environmentFreshwater ecology
Taxonomic Keywords: Salmo salar
Extent: 106
Total file downloads: 287

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