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Survival Estimation in Non-Equilibrium situations
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Version 1.3 (September 2008) |
Research Model |
The Survival Estimates In Non-Equilibrium situations (
Given von Bertalanffy parameters, the length at full vulnerability, and a series of annual observations of mean length over time, the model estimates mortality rates and the years in which they changed. A grid search over possible years of change is used to evaluate the likelihood surface and provide starting values for the final estimation. Additional changes in mortality can be added to the model and the improvement of model fit in relation to the additional parameters can be evaluated through AIC values.
The model was developed for the assessment of goosefish (monkfish;
Lophius americanus) where sample
sizes for each year were quite low and the mean size was highly variable from
year to year. It has since been used in
similar data-poor situations including the assessment of the northeast skate
complex and mutton snapper in
The calculation engine was built using AD Model Builder by
Alan Seaver (currently at the
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References |
Beverton, R. J. H., and S. J. Holt. 1956. A review of methods for estimating mortality rates in fish populations, with special reference to sources of bias in catch sampling. Rapports et Proce`s-verbaux des Re´unions, Conseil International pour l’Exploration de la Mer 140:67–83.
Beverton, R. J. H., and S. J. Holt. 1957. On the dynamics of exploited fish populations. Fishery Investigations Series II, Marine Fisheries, Great Britain Ministry of Agriculture, Fisheries and Food 19.
Gedamke, T., and J. M. Hoenig. 2006. Estimating mortality from mean length data in nonequilibrium situations, with application to the assessment of goosefish. Transactions of the American Fisheries Society 135:476–487.
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Version History |
NOAA Fisheries Toolbox Version 3.1
website last modified November 13, 2009