Publication - Progress report

Scottish Marine and Freshwater Science Vol 6 No 15: Spatial dynamics of scallops in relation to the Orkney dive fishery. Report of Fishing Industry Science Alliance (FISA) Project 03/12

Published: 25 Nov 2015
Part of:
Marine and fisheries
ISBN:
9781785448294

This report details the results of studies which have been done under Fishing Industry Science Alliance (FISA) project 03/12 which quantify the rate of spatial turnover in a scallop population at a small spatial scale in Orkney, and understanding the exte

55 page PDF

1.7 MB

55 page PDF

1.7 MB

Contents
Scottish Marine and Freshwater Science Vol 6 No 15: Spatial dynamics of scallops in relation to the Orkney dive fishery. Report of Fishing Industry Science Alliance (FISA) Project 03/12
References

55 page PDF

1.7 MB

References

Baird, R.H. & Gibson, F.A., 1956. Underwater observations on escallop ( Pecten maximus L.) beds. Journal of the Marine Biological Association of the United Kingdom, 35, 555-562.
Burnham, K.P., Anderson, D.R., White, G.C., Brownie, C. & Pollock, K.H., 1987. Design and analysis methods for fish survival experiments based on release-recapture. American Fisheries Society, Monograph No. 5, Bethesda, Maryland.
Burnham, K.P. & Anderson, D.R., 2002. Model selection and multimodel inference: a practical information-theoretic approach. 2 nd Edition. Springer, New York.
Dobby, H., Millar, S., Blackadder, L., Turriff, J. & McLay, A., 2012. Scottish scallop stocks: results of 2011 stock assessments. Scottish Marine and Freshwater Science, 3, No. 10, 158 pp.
Gibson, F.A., 1953. Tagging of escallops ( Pecten maximus L.) in Ireland. Journal du Conseil International pour l'Exploration de la Mer, 19, 204-208.
Lebreton, J.-D., Burnham, K.P., Clobert, J. & Anderson, D.R., 1992. Modeling survival and testing biological hypotheses using marked animals: a unified approach. Ecological Monographs, 62, 67-118.
Leslie, P.H. & Davis, D.H.S., 1939. An attempt to determine the absolute number of rats on a given area. Journal of Animal Ecology, 8, 94-113.
R Core Team, 2014. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.


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