Time-varying Natural Mortality of Groundfish

Project Description

As part of the Stock Assessment Improvement Program, our first objective is to determine the circumstances under which time -varying natural mortality, M is estimable in an age-structured assessment model. We hypothesize that the precision of datasets is most important, especially survey data. The second objective is to compare the performance of estimating M with random effects versus using covariates. We hypothesize that using covariates increases precision unless M is misspecified. Thus, this proposal is responsive to two objectives of the Assessment Methods Working Group to conduct "investigations to develop best practices for addressing specific topics in stock assessments" an "investigations of the performance of assessment methods across a range of data availability and quality". Furthermore, this proposals "oriented to the broadly applicable thme" of the feasibility of estimating natural mortality, a topic that comes up in discussion of almost all stock assessments.

Research Team

Principal Investigator

picture of Terrance Quinn

Terrance Quinn

Professor Emeritus
Specialties:
  • fish population dynamics
  • estimation of animal and fish abundance
  • statistical time series analysis and sampling theory
  • renewable resource management systems
  • short courses on spreadsheet applications of population dynamics
tjquinnii@alaska.edu
(907)796-5457
Full Profile

Co-Principal Investigator

Peter-John F. Hulson, TSMRI, AFSC, Pete.Hulson@noaa.gov

 

 

Research Staff

Phillip Ganz, M.S. student, phil.ganz@alaska.edu

 

 

Project Funding

National Marine Fisheries Service
Amount: $183,116
Start Date: 2014-08-00 End Date: 2016-07-00

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