Multispecies Extensions to a Nonequilibrium Length‐Based Mortality Estimator

Recent advances in methodology allow the history of the total mortality rate experienced by a population to be estimated from periodic (e.g., annual) observations on the mean length of the population. This approach is generalized to allow data on several species that are caught together to be analyz...

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Bibliographic Details
Published in:Marine and coastal fisheries 2017-01, Vol.9 (1), p.68-78
Main Authors: Huynh, Quang C., Gedamke, Todd, Hoenig, John M., Porch, Clay
Format: Article
Language:English
Subjects:
Equilibrium
Fisheries
Fishing
Fishing effort
Fishing equipment
Information theory
Marine fishes
Mortality
Population
Species
Time series
Total mortality
Trends
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Summary:Recent advances in methodology allow the history of the total mortality rate experienced by a population to be estimated from periodic (e.g., annual) observations on the mean length of the population. This approach is generalized to allow data on several species that are caught together to be analyzed simultaneously based on the theory that changes in fishing effort are likely to affect several species; thus, the estimation of times when the mortality rate changes for one species borrows strength from data on other, concurrently caught species. Information theory can be used to select among models describing the degree of synchrony (if any) in mortality changes for a suite of species. This approach is illustrated using data on Puerto Rican handline fishery catches of three snapper species: Silk Snapper Lutjanus vivanus, Blackfin Snapper L. buccanella, and Vermilion Snapper Rhomboplites aurorubens. We identified the best model as the one that provided for simultaneous decreases in mortality rate around the year 1997 and for separate, species‐specific magnitudes of change in total mortality. The simultaneous estimation of parameters for multiple species can provide for more credibility in the inferred mortality trends than is possible with independent estimation for each species.
ISSN:1942-5120
1942-5120
DOI:10.1080/19425120.2016.1259696