Improving Shepherd's Length Composition Analysis (SLCA) method for growth parameter estimations

Improving Shepherd's Length Composition Analysis (SLCA) method for growth parameter estimations

Shepherd's "weekly parametric" method for estimating the parameter L sub( infinity ) and K of the von Bertalanffy growth function from length-frequency data often fails to converge, and usually overestimates K. It is shown that this is due to overcounting of the frequencies associated with large, slow growing fish, and that both of these problems can be completely overcome by a simple change in the way the scoring function is formulated.

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Bibliographic Details
Main Authors: Pauly, D., Arreguin-Sanchez, F.
Format: article biblioteca
Language:English
Published: 1995
Subjects:Fisheries, Length, Frequency analysis, Methodology, Growth, Approximation, Fish, Shepherd's Length Composition Analysis,
Online Access:http://hdl.handle.net/1834/26030
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id dig-aquadocs-1834-26030
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spelling dig-aquadocs-1834-260302021-07-05T03:19:17Z Improving Shepherd's Length Composition Analysis (SLCA) method for growth parameter estimations Pauly, D. Arreguin-Sanchez, F. Fisheries Length Frequency analysis Methodology Growth Approximation Fish Shepherd's Length Composition Analysis Shepherd's "weekly parametric" method for estimating the parameter L sub( infinity ) and K of the von Bertalanffy growth function from length-frequency data often fails to converge, and usually overestimates K. It is shown that this is due to overcounting of the frequencies associated with large, slow growing fish, and that both of these problems can be completely overcome by a simple change in the way the scoring function is formulated. 2021-06-24T16:23:25Z 2021-06-24T16:23:25Z 1995 article 0116-290X http://hdl.handle.net/1834/26030 en http://www.worldfishcenter.org/Naga/na_1469.pdf application/pdf application/pdf 31-33 http://aquaticcommons.org/id/eprint/9421 115 2012-10-11 04:38:11 9421 WorldFish Center
institution UNESCO
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-aquadocs
tag biblioteca
region Europa del Oeste
libraryname Repositorio AQUADOCS
language English
topic Fisheries
Length
Frequency analysis
Methodology
Growth
Approximation
Fish
Shepherd's Length Composition Analysis
Fisheries
Length
Frequency analysis
Methodology
Growth
Approximation
Fish
Shepherd's Length Composition Analysis
spellingShingle Fisheries
Length
Frequency analysis
Methodology
Growth
Approximation
Fish
Shepherd's Length Composition Analysis
Fisheries
Length
Frequency analysis
Methodology
Growth
Approximation
Fish
Shepherd's Length Composition Analysis
Pauly, D.
Arreguin-Sanchez, F.
Improving Shepherd's Length Composition Analysis (SLCA) method for growth parameter estimations
description Shepherd's "weekly parametric" method for estimating the parameter L sub( infinity ) and K of the von Bertalanffy growth function from length-frequency data often fails to converge, and usually overestimates K. It is shown that this is due to overcounting of the frequencies associated with large, slow growing fish, and that both of these problems can be completely overcome by a simple change in the way the scoring function is formulated.
format article
topic_facet Fisheries
Length
Frequency analysis
Methodology
Growth
Approximation
Fish
Shepherd's Length Composition Analysis
author Pauly, D.
Arreguin-Sanchez, F.
author_facet Pauly, D.
Arreguin-Sanchez, F.
author_sort Pauly, D.
title Improving Shepherd's Length Composition Analysis (SLCA) method for growth parameter estimations
title_short Improving Shepherd's Length Composition Analysis (SLCA) method for growth parameter estimations
title_full Improving Shepherd's Length Composition Analysis (SLCA) method for growth parameter estimations
title_fullStr Improving Shepherd's Length Composition Analysis (SLCA) method for growth parameter estimations
title_full_unstemmed Improving Shepherd's Length Composition Analysis (SLCA) method for growth parameter estimations
title_sort improving shepherd's length composition analysis (slca) method for growth parameter estimations
publishDate 1995
url http://hdl.handle.net/1834/26030
work_keys_str_mv AT paulyd improvingshepherdslengthcompositionanalysisslcamethodforgrowthparameterestimations
AT arreguinsanchezf improvingshepherdslengthcompositionanalysisslcamethodforgrowthparameterestimations
_version_ 1756078108660727808

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