Life history and habitat associations of haddock (Melanogrammus aeglefinus) in Newfoundland waters

Many fish stocks are currently facing collapse or overexploitation as well as warming environments. During the 1950s and 1960s, haddock supported a substantial fishery in southern Newfoundland waters, specifically Northwest Atlantic Fisheries Organization (NAFO) Divisions 3LNO and Subdivision 3Ps, but abundance has been comparatively low over the last several decades and there has been no significant fishery in either 3LNO or 3Ps since the late-1950s. The decline in the fishery for haddock coincided with a decline in scientific research on haddock with the last significant research on haddock in Newfoundland waters conducted in the 1950s-1960s. Other haddock stocks have shown major life history changes since the 1980s, including decreased size-at-age and age/length at maturity. In contrast to this, Newfoundland haddock have not shown a significant change in growth or maturity through time. Based on analysis of habitat associations, haddock abundance is expected to increase with recent warming trends as the available optimum habitat for haddock will increase.

Modelling the growth of Northern Cod

We develop a body size growth model of Northern cod (Gadus morhua) in Northwest Atlantic Fisheries Organization (NAFO) Divisions 2J3KL during 2009-2013. We use individual length-at-age data from the bottom trawl survey in these divisions during 2009–2013. We use the Von Bertalanffy (VonB) model extended to account for between-individual variations in growth, and variations that may be caused by the methods which fish are caught and sampled for length and age measurements. We assume between-individual variation in growth appears because individuals grow at a different rate (k), and they achieve different maximum sizes (l∞). We also included measurement error in length and age in our model since ignoring these errors can lead to biased estimates of the growth parameters. We use the structural errors-invariables (SEV) approach to estimate individual variation in growth, ageing error variation, and the true age distribution of the fish. Our results shows the existence of individual variation in growth and ME in age. According to the negative log likelihood ratio (NLLR) test, the best model indicated: 1) different growth patterns across divisions and years. 2) Between individual variation in growth is the same for the same division across years. 3) The ME in age and true age distribution are different for each year and division.