Canadian Journal of Fisheries and Aquatic Sciences · 2001 · 335 citations · 18 references
Natural ResourcesZoologyFish BiologyMarine MammalogyPopulation EcologyDemographic ParametersFish GrowthFish Life HistoryGrowth AnalysisGrowth DynamicsPopulation ModelingAsymptotic Length EstimationBody Size EstimationElasmobranch BiologyGrowth Rate TraitsGrowth RatesLife-history Parameter EstimationNatural Mortality EstimationPopulation Decline Modeling
Published life-history parameters for sharks, skates, and rays over a wide geographic range were used to develop predictive models to estimate parameters that are difficult to measure or have not been previously estimated in elasmobranch species. We determined empirical relationships between body size (total length) and length at maturity (L m ) and age at maturity (T m ). The data used in determining these empirical relationships, the von Bertalanffy parameters asymptotic length (L [Formula: see text] ) and growth rate (k), and natural mortality (M) and maximum age (T max ) were used to describe the life-history strategies of elasmobranch fishes. M/k and Beverton's growthmaturitylongevity plots were used to make comparisons between teleost fishes, reptiles, and elasmobranchs. We found that the M/k ratio in elasmobranchs is significantly different from those for other fish and reptile taxa. We linked elasmobranch species fecundity (f) and T m to potential vulnerability to population decline under exploitation. We found that larger species of elasmobranchs have lower growth rates (k) and potential population increases (r'). Elasmobranchs can be categorized by species maximum length to determine susceptibility of decline under exploitation. Generally, species greater than 100 cm are characterized by life-history and population traits that place them at greater risk of population decline.
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Victor G. Springer, Peter R. Last, JD Stevens · Copeia · 1994 · 1.2K citations
Empirical use of longevity data to estimate mortality rates
JM Hoenig · 1983 · 926 citations