Nonparametric growth model for Atlantic red drum, and changes to natural mortality (M) estimates.

There is evidence of misfit in the von Bertalanffy growth model for the northern region Atlantic red drum stock provided by the SEDAR 18 Data Workshop (DW). We used a nonparametric smooth monotone growth model which fit both the southern and northern region data very well. This growth model resulted...

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Main Authors: Noel Cadigan, Cie Expert
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
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Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.618.2795
http://www.sefsc.noaa.gov/sedar/download/S18-AW02.pdf?id=DOCUMENT
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.618.2795 2023-05-15T18:06:01+02:00 Nonparametric growth model for Atlantic red drum, and changes to natural mortality (M) estimates. Noel Cadigan Cie Expert The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.618.2795 http://www.sefsc.noaa.gov/sedar/download/S18-AW02.pdf?id=DOCUMENT en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.618.2795 http://www.sefsc.noaa.gov/sedar/download/S18-AW02.pdf?id=DOCUMENT Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.sefsc.noaa.gov/sedar/download/S18-AW02.pdf?id=DOCUMENT text ftciteseerx 2016-01-08T14:50:48Z There is evidence of misfit in the von Bertalanffy growth model for the northern region Atlantic red drum stock provided by the SEDAR 18 Data Workshop (DW). We used a nonparametric smooth monotone growth model which fit both the southern and northern region data very well. This growth model resulted in somewhat higher estimates of natural mortality (M) for younger ages based on the scaled Lorenzen method. The largest difference was for one-year old fish from the northern region, where the DW Lorenzen M estimate based on the von Bertalanffy model predicted length was 0.16 and the M Text Red drum Unknown
institution Open Polar
collection Unknown
op_collection_id ftciteseerx
language English
description There is evidence of misfit in the von Bertalanffy growth model for the northern region Atlantic red drum stock provided by the SEDAR 18 Data Workshop (DW). We used a nonparametric smooth monotone growth model which fit both the southern and northern region data very well. This growth model resulted in somewhat higher estimates of natural mortality (M) for younger ages based on the scaled Lorenzen method. The largest difference was for one-year old fish from the northern region, where the DW Lorenzen M estimate based on the von Bertalanffy model predicted length was 0.16 and the M
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author Noel Cadigan
Cie Expert
spellingShingle Noel Cadigan
Cie Expert
Nonparametric growth model for Atlantic red drum, and changes to natural mortality (M) estimates.
author_facet Noel Cadigan
Cie Expert
author_sort Noel Cadigan
title Nonparametric growth model for Atlantic red drum, and changes to natural mortality (M) estimates.
title_short Nonparametric growth model for Atlantic red drum, and changes to natural mortality (M) estimates.
title_full Nonparametric growth model for Atlantic red drum, and changes to natural mortality (M) estimates.
title_fullStr Nonparametric growth model for Atlantic red drum, and changes to natural mortality (M) estimates.
title_full_unstemmed Nonparametric growth model for Atlantic red drum, and changes to natural mortality (M) estimates.
title_sort nonparametric growth model for atlantic red drum, and changes to natural mortality (m) estimates.
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.618.2795
http://www.sefsc.noaa.gov/sedar/download/S18-AW02.pdf?id=DOCUMENT
genre Red drum
genre_facet Red drum
op_source http://www.sefsc.noaa.gov/sedar/download/S18-AW02.pdf?id=DOCUMENT
op_relation http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.618.2795
http://www.sefsc.noaa.gov/sedar/download/S18-AW02.pdf?id=DOCUMENT
op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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