Details:

Journal Title:
Fisheries Research
Personal Author:
Lee, H. ; Maunder, M.M. ; Piner, K.R.
Lee, H. ; Maunder, M.M. ; Piner, K.R. Less -
NOAA Program & Office:
NMFS (National Marine Fisheries Service) ; SWFSC (Southwest Fisheries Science Center)
NMFS (National Marine Fisheries Service) ; SWFSC (Southwest Fisheries Science Center) Less -
Description:
Estimating growth (increase in size with age) is an integral component of fish population assessment. The use of integrated assessment models combined with the influence of misfitting size composition data on results have led to renewed interest in how growth is modeled in the assessment process. The types of data available to describe the growth process control how the length-at-age relationship will be estimated. Many factors contribute to the complexity of estimating length-at-age, including multiple sources of biological variability and difficulties in getting representative samples. The growth process in the population dynamics model is linked to all other processes and data but most directly influences the assessment model through 1) converting numbers into weight and vice versa, 2) productivity, and 3) modifying fits of size composition data. In some cases, an assessment may be insensitive to moderate levels of misspecification of the growth process, and therefore, relatively simple treatments may be adequate. However, in many cases, especially those where the fit of size composition is influential in estimating scale, a more thorough treatment of the growth process is needed. A complete treatment of growth will estimate the most important forms of biological variability, including individual, sex-specific, temporal, and spatial variability. Several types of sampling bias, including selectivity, length-stratified sampling, and spatial and measurement error, will likely also need to be addressed. When sufficient data are available, assessment authors should consider estimating the growth process as part of the integrated assessment model or consider empirical approaches for situations with high biological variability and sampling bias.
Keywords:
[+]
Fishes Fish Stock Assessment Growth Integrated Stock Assessments Length-at-age
Source:
Fisheries Research 270 (2024) 106883
DOI:
https://doi.org/10.1016/j.fishres.2023.106883
Format:
PDF
Document Type:
Journal Article
Rights Information:
Accepted Manuscript
Compliance:
Submitted
Main Document Checksum:
[+]
urn:sha256:a9f5d921c770acc0593cf406c45ba7405ab33eda001fb2037d6a010f1a6ca171
Download URL:
https://repository.library.noaa.gov/view/noaa/60699/noaa_60699_DS1.pdf
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