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Formal report series, containing results of research and monitoring carried out by Marine Scotland Science

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UK Open Government Licence (OGL)

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Development of a Model for Predicting Large Scale Spatio-Temporal Variability in Juvenile Fish Abundance from Electrofishing Data

doi: 
10.7489/1616-1

Scottish Marine and Freshwater Science Vol 6 No 6

Models of juvenile salmonid abundance are required to inform electrofishing based assessment approaches and potentially as an intermediate step in scaling conservation limits from data rich to data poor catchments. This report describes an approach for modelling large-scale spatio-temporal variability in fish densities using GIS derived covariates. The technical challenges, modelling approaches and software developed during the project are described. The utility of the approach was illustrated by fitting models to data on Atlantic salmon fry.

Citation: 
Millar, C.P., Millidine, K.J., Middlemas, S.J. and Malcolm, I.A. (2015) Development of a Model for Predicting Large Scale Spatio-Temporal Variability in Juvenile Fish Abundance from Electrofishing Data. Scottish Marine and Freshwater Science Vol 6 No 6. Edinburgh: Scottish Government, 44pp.

Dataset Info

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FieldValue
Publisher
Modified Date
2015-06-16
Release Date
2015-05-29
Identifier
063f5404-5719-4789-89f2-3c7a1f6452d4
Spatial / Geographical Coverage Location
Scotland
License
UK Open Government Licence (OGL)
Author
C.P. Millar
Data Dictionary

Multi-pass electrofishing data was collated from fisheries trusts, fisheries boards, SEPA and Marine Scotland. Covariates describing spatial, temporal and habitat variability were obtained for each sampling event. A two stage likelihood based modelling approach was developed. Firstly, capture probability was modelled in relation to covariates. Secondly, densities were modelled in relation to covariates, conditional on estimated capture probabilities. A software package was developed for the R statistical programming environment to perform the analysis.

Contact Name
Marine Scotland Science
Contact Email
Public Access Level
Public