ABSTRACT: In larvae of marine fish, density differences are known to be associated with nutritional state and osmotic failure. We hypothesized that these density measures can be used to predict the near-term mortality of larvae. Specifically, we predicted increased larval mortality to be positively and continuously associated with increased larval density. Under controlled conditions, we measured (1) the average density (g cm^-3) and daily percent mortality of fed and starved larval cod Gadus morhua L. in culture tanks and (2) the relationship between larval density and percent mortality of both fed and starved larvae whose survival was monitored for a 24 h period following density determination. We observed a strong, positive linear relationship between average larval density and average percent mortality in both experiments (r² = 0.79 and r² = 0.78 respectively). The regression slopes did not differ significantly between experiments. A linear regression on the pooled data yielded a highly significant relationship (r² = 0.77, p < 0.0001). A second-order polynomial regression was also significant and improved the fit (R² = 0.80, p < 0.0001). While the second-order polynomial regression better described the functional relationship between average density and average mortality, the simpler first-order model was judged preferable for predicting near-term mortality. The consistency and strength of the linear regressions suggests that larval density can be a reliable predictor of larval mortality. We determined the density of larvae associated with 50% mortality (potential 'critical' density value) using linear, polynomial and logistic regressions. All 3 produced similar 'critical' densities and we used the linear model to estimate this value. Larval cod having densities >1.0338 g cm^-3 have a 50% probability of dying within 24 h. The potential for using larval density to predict the probability of near-term mortality in laboratory and field studies is discussed.

KEY WORDS: Larval fish · Buoyancy · Condition indices · Mortality · Bioassay · Cod

Published in MEPS Vol. 193 (2000) on February 28
ISSN: 0171-8630. Copyright © Inter-Research, Oldendorf/Luhe, 2000