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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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BayesianLWR_Final.pdf - Accepted Version Available under License Creative Commons Attribution. Download (389kB) | Preview |
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BodyShape_3.csv - Supplemental Material Download (726kB) |
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Scophthalmus_maximus_LW.csv - Supplemental Material Download (7kB) |
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LWR_Stats_3.R - Supplemental Material Available under License Creative Commons Attribution. Download (3kB) |
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RelativesLWR_4.R - Supplemental Material Available under License Creative Commons Attribution. Download (11kB) |
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BodyShapePar_v5.R - Supplemental Material Available under License Creative Commons Attribution. Download (8kB) |
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LW_data_v6.R - Supplemental Material Available under License Creative Commons Attribution. Download (4kB) |
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SingleSpeciesLWR_7.R - Supplemental Material Available under License Creative Commons Attribution. Download (8kB) |
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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 |
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Funder compliance: | info:eu-repo/grantAgreement/EC/FP7/244706 |
Additional Information: | WOS:000336256500011 |
Research affiliation: | OceanRep > GEOMAR > FB3 Marine Ecology > FB3-EV Marine Evolutionary Ecology OceanRep > The Future Ocean - Cluster of Excellence > FO-R03 Kiel University OceanRep > The Future Ocean - Cluster of Excellence OceanRep > The Future Ocean - Cluster of Excellence > FO-R02 |
Refereed: | Yes |
Open Access Journal?: | No |
Publisher: | Wiley |
Projects: | ECOKNOWS, Future Ocean |
Date Deposited: | 27 Aug 2013 13:22 |
Last Modified: | 23 Sep 2019 21:37 |
URI: | https://oceanrep.geomar.de/id/eprint/21875 |
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