Use of Bayesian hierarchical models to estimate northern abalone, Haliotis kamtschatkana, growth parameters from tag-recapture data

Autor:	Alan Campbell, Joanne Lessard, Zane Zhang
Rok vydání:	2009
Předmět:	Haliotis kamtschatkana education.field_of_study food.ingredient Abalone Bayesian probability Population Aquatic Science Biology biology.organism_classification Von bertalanffy food Statistics Haliotis education Haliotidae
Zdroj:	Fisheries Research. 95:289-295
ISSN:	0165-7836
DOI:	10.1016/j.fishres.2008.09.035
Popis:	Bayesian hierarchical models were developed to estimate the growth parameters of northern abalone, Haliotis kamtschatkana, using tag-recapture data with a mixture of single and multiple recaptures. Individual variability in the growth parameters L∞ and k of the von Bertalanffy model was incorporated in the analyses. The models developed fit the data well based on the Bayesian p-values. Variability in L∞ for individuals was high relative to the variability in L∞ for the population, and variability in k for individuals was about the same as the variability in k for the population. Simulations showed that estimates of the growth parameters were accurate (relative biases
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::bfeaace7164d4f55f916cf68ecaa3704 https://doi.org/10.1016/j.fishres.2008.09.035 Zobrazit plný text záznamu Full Text from ScienceDirect