He, Xi and Mangel , Marc and MacCall , Alec (2006) A prior for steepness in stock-recruitment relationships, based on an evolutionary persistence principle. Fishery Bulletin, 104(3), pp. 428-433.
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Priors are existing information or beliefs that are needed in Bayesian analysis. Informative priors are important in obtaining the Bayesian posterior distributions for estimated parameters in stock assessment. In the case of the steepness parameter (h), the need for an informative prior is particularly important because it determines the stock-recruitment relationships in the model. However, specifications of the priors for the h parameter are often subjective. We used a simple population model to derive h priors based on life history considerations. The model was based on the evolutionary principle that persistence of any species, given its life history (i.e., natural mortality rate) and its exposure to recruitment variability, requires a minimum recruitment compensation that enables the species to rebound consistently from low critical abundances (Nc). Using the model, we derived the prior probability distributions of the h parameter for fish species that have a range of natural mortality, recruitment variabilities, and Nt values.
|Title:||A prior for steepness in stock-recruitment relationships, based on an evolutionary persistence principle|
|Journal or Publication Title:||Fishery Bulletin|
|Page Range:||pp. 428-433|
|Issuing Agency:||United States National Marine Fisheries Service|
|Depositing User:||Patti M. Marraro|
|Date Deposited:||16 Aug 2012 13:24|
|Last Modified:||16 Aug 2012 13:24|
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