Natural Mortality: Theory, Estimation, and Application in Fishery Stock Assessment Models

doi:10.25923/xqv2-2g73

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

Natural Mortality: Theory, Estimation, and Application in Fishery Stock Assessment Models

2023
By Hamel, Owen S. ...
Series: NOAA processed report NMFS-NWFSC-PR ; 2023-02

[PDF-1.02 MB]

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Details:

Corporate Authors:

Hamel, Owen S. ; Punt, Andre E. ; Kapur, Maia S. ; Maunder, Mark N.

Hamel, Owen S. ; Punt, Andre E. ; Kapur, Maia S. ; Maunder, Mark N. Less -
Conference Authors:

Northwest Fisheries Science Center (U.S.). Fishery Resource Analysis and Monitoring Division. ; Alaska Fisheries Science Center (U.S.). Resource Ecology and Fisheries Management Division. ; University of Washington. School of Aquatic & Fishery Sciences. ; Inter-American Tropical Tuna Commission. ; Center for the Advancement of Population Assessment Methodology.

Northwest Fisheries Science Center (U.S.). Fishery Resource Analysis and Monitoring Division. ; Alaska Fisheries Science Center (U.S.). Resource Ecology and Fisheries Management Division. ; University of Washington. School of Aquatic & Fishery Sciences. ; Inter-American Tropical Tuna Commission. ; Center for the Advancement of Population Assessment Methodology. Less -
NOAA Program & Office:

NMFS (National Marine Fisheries Service) ; NWFSC (Northwest Fisheries Science Center) ; AFSC (Alaska Fisheries Science Center)

NMFS (National Marine Fisheries Service) ; NWFSC (Northwest Fisheries Science Center) ; AFSC (Alaska Fisheries Science Center) Less -
Description:

The natural mortality rate, M, is one of the key parameters in stock assessments based on age- or size-structured population dynamics models. However, it is a notoriously difficult parameter to estimate owing to confounding among population parameters as well as because M is likely to vary by sex, age, size, and time. A range of approaches for estimating M have been proposed. These include methods that estimate M based on theoretical life-history relationships among biological parameters, empirical relationships among M and other biological parameters, methods based on tagging and catch-at-age data, and estimation within stock assessment methods. The 14–17 June 2021 workshop, Natural Mortality: Theory, Estimation, and Application in Fishery Stock Assessment Models, brought together scientists from a range of disciplines to understand the properties of natural mortality, evaluate different methods for how M can be estimated for use in fisheries stock assessments, explore the estimates of M for specific case studies, and evaluate the consequences of errors when estimating M. The workshop discussed tentative best practices for estimating M for stock assessment purposes.
Keywords:

[+]

Natural Mortality: Theory, Estimation, and Application in Fishery Stock Assessment Models Natural Mortality Stock Assessment
Series:

NOAA processed report NMFS-NWFSC-PR ; 2023-02
DOI:

https://doi.org/10.25923/xqv2-2g73
Format:

PDF
Document Type:

Processed Report
Funding:

Grant no. NA15OAR4320063
Name as Subject:

The natural mortality rate, M, is one of the key parameters in stock assessments based on age- or size-structured population dynamics models. However, it is a notoriously difficult parameter to estimate owing to confounding among population parameters as well as because M is likely to vary by sex, age, size, and time. A range of approaches for estimating M have been proposed. These include methods that estimate M based on theoretical life-history relationships among biological parameters, empirical relationships among M and other biological parameters, methods based on tagging and catch-at-age data, and estimation within stock assessment methods. The 14–17 June 2021 workshop, Natural Mortality: Theory, Estimation, and Application in Fishery Stock Assessment Models, brought together scientists from a range of disciplines to understand the properties of natural mortality, evaluate different methods for how M can be estimated for use in fisheries stock assessments, explore the estimates of M for specific case studies, and evaluate the consequences of errors when estimating M. The workshop discussed tentative best practices for estimating M for stock assessment purposes.
License:

https://creativecommons.org/publicdomain/zero/1.0/
Rights Information:

CC0 Public Domain
Compliance:

Submitted
Main Document Checksum:

[+]

urn:sha256:11e798a711168528bb6e227f20dcc22c0449cc5ed8dbea5bc2f37be1f8734c6f
Download URL:

https://repository.library.noaa.gov/view/noaa/50156/noaa_50156_DS1.pdf
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Natural Mortality: Theory, Estimation, and Application in Fishery Stock Assessment Models

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