Modelling the spatial demography of Atlantic cod (Gadus morhua) on the European continental shelf

• Published in: Canadian journal of fisheries and aquatic sciences Vol. 63; no. 5; pp. 1027 - 1048
• Main Authors: Andrews, Jessica M, Gurney, William SC, Heath, Michael R, Gallego, Alejandro, O'Brien, Carl M, Darby, Christopher, Tyldesley, Graham
• Format: Journal Article
• Language: English
• Published: Ottawa, Canada NRC Research Press 01.05.2006; National Research Council of Canada; Canadian Science Publishing NRC Research Press
• Subjects: Animal behavior; Animal populations; Animal reproduction; Animal, plant and microbial ecology; Applied ecology; Biological and medical sciences; Codfish; Commercial fishing; Continental shelf; Continental shelves; Demographic aspects; Demography; Exploitation and management of natural biological resources (hunting, fishing and exploited populations survey, etc.); Fish industry; Fish migration; Fish populations; Fisheries; Fisheries management; Fishery management; Fishing; Fundamental and applied biological sciences. Psychology; Gadus morhua; General aspects. Techniques; Laws, regulations and rules; Marine; Methods and techniques (sampling, tagging, trapping, modelling...); Spatial distribution; Europe; Scotland; AN, North Atlantic; ANE, Europe; Marine environment; Aquatic environment; Vertebrata; Demography; Continental shelf; Pisces; Population dynamics; Modeling; Gadus morhua
• ISSN: 0706-652X; 1205-7533
• DOI: 10.1139/f06-006

Atlantic cod (Gadus morhua) stocks across the North Atlantic have been subject to intense fishing pressure during the 20th century, and some stocks have suffered well-documented collapses. On the European shelf, cod are widely but heterogeneously distributed and are caught as part of a multispecies trawl fishery. There is a growing body of evidence that this stock is composed of substocks with potentially distinct demographic properties. As a first step towards the development of management methodologies that reflect this spatial and biological complexity, we present a spatially and physiologically explicit model describing the demography and distribution of cod on the European shelf. The computational efficiency of our implementation enables numerical parameter optimization, thus facilitating formal statistical tests of structural hypotheses. We use these methods to fit model variants embodying a variety of hypotheses about the movements of settled fish to a data set including spatial distribution information derived from International Bottom Trawl Surveys. The best-fit model emerging from this study is then used to investigate the potential effects of long-term application of a series of regional fishing closure policies.