A Bayesian approach for estimating length-weight relationships in fishes

Froese, Rainer, Thorson, J. and Reyes Jr., R. B. (2014) A Bayesian approach for estimating length-weight relationships in fishes Journal of Applied Ichthyology, 30 (1). pp. 78-85. DOI 10.1111/jai.12299.

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Supplementary data:

Abstract

A Bayesian hierarchical approach is presented for the estimation of length-weight relationships (LWR) in fishes. In particular, estimates are provided for the LWR parameters
a and b in general as well as by body shape. These priors and existing LWR studies were used to derive species-specific LWR parameters. In the cases of data-poor species, the analysis includes LWR studies of closely related species
with the same body shape. This approach yielded LWR parameter estimates with measures of uncertainty for practically all known 32 000 species of fishes. Provided is a 3 large LWR data set extracted from www.fishbase.org, the
source code of the respective analyses, and ready-to-use tools for practitioners. This is presented as an example of a self-learning online database where the addition of new
studies improves the species-specific parameter estimates, and where these parameter estimates inform the analysis of new data.

Document Type: Article
Additional Information: WOS:000336256500011
Research affiliation: OceanRep > The Future Ocean - Cluster of Excellence > FO-R03
OceanRep > The Future Ocean - Cluster of Excellence > FO-R02
OceanRep > GEOMAR > FB3 Marine Ecology > FB3-EV Evolutionary Ecology of Marine Fishes
OceanRep > The Future Ocean - Cluster of Excellence
Kiel University
Refereed: Yes
DOI etc.: 10.1111/jai.12299
ISSN: 0175-8659
Projects: ECOKNOWS, Future Ocean
Date Deposited: 27 Aug 2013 13:22
Last Modified: 03 Jul 2017 08:28
URI: http://eprints.uni-kiel.de/id/eprint/21875

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