Benchmark Workshop for Demersal Species

Balestri, Elena; Boenish, Robert; Breivik, Olav Nikolai; Bogstad, Bjarte; Chetyrkin, A. A.; Cook, Robin; Coull, K A; Dingsør, Gjert Endre; Dobby, Helen; Fall, Johanna; Grossmann, Jenni; Howell, Daniel; Jaworski, Adam; Johannesen, Edda; Kokkalis, Alexandros; Kovalev, Y. Y.; Macdonald, Paul; Miethe, Tanja; Nash, Richard; Nielsen, Anders; Rodriguez, Alfonso Perez; Russkikh, Alexey; Schueller, Amy M.

doi:10.17895/ices.pub.5548

2020

DOI: 10.17895/ices.pub.5548

|View full text |Cite

Benchmark Workshop for Demersal Species

Elena Balestri¹,

Robert Boenish

Olav Nikolai Breivik

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Incorporation of observation uncertainty in stock assessment using spatio-temporal modeling of catch-at-length and age-at-length survey data

Breivik,

Zimmermann,

Johannesen

et al. 2024

ICES Journal of Marine Science

View full text Add to dashboard Cite

Spatio-temporal models are essential tools for estimating abundance indices and quantifying the associated uncertainty. Time series of index uncertainties can be used to objectively determine the influence each index has on the assessment. This can involve reducing the influence of indices in years with limited data. However, incorporating uncertainty in age-length conversion into assessment models has remained a challenge. In this research, we propose an index estimation approach that combines an abundance-at-length model with a model for age-at-length to generate age-specific abundance indices. By jointly modeling abundance-at-length and age-at-length, we address uncertainties in both components of the index-at-age. Using North East Arctic haddock (Melanogrammus aeglefinus) as a case study, we validate the uncertainty of the indices by integrating them into the state space assessment model SAM. The results indicate that the uncertainty estimates are realistic, and we further demonstrate that incorporating uncertainty in age conversion has effects on the assessment results. Our case study demonstrates that incorporating the uncertainty in age-at-length data improves the characterization of uncertainty in stock assessment, and hence better accounts for risk in precautionary management.

show abstract

Incorporation of observation uncertainty in stock assessment using spatio-temporal modeling of catch-at-length and age-at-length survey data

Breivik,

Zimmermann,

Johannesen

et al. 2024

ICES Journal of Marine Science

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Benchmark Workshop for Demersal Species

Cited by 1 publication

References 0 publications

Incorporation of observation uncertainty in stock assessment using spatio-temporal modeling of catch-at-length and age-at-length survey data

Incorporation of observation uncertainty in stock assessment using spatio-temporal modeling of catch-at-length and age-at-length survey data

Contact Info

Product

Resources

About