Lessons to be learned by comparing integrated fisheries stock assessment models (SAMs) with integrated population models (IPMs)

Schaub, Michael; Maunder, Mark N.; Kéry, Marc; Thorson, James T.; Jacobson, Eiren K.; Punt, André E.

doi:10.1016/j.fishres.2023.106925

Fisheries Research

2024

DOI: 10.1016/j.fishres.2023.106925

|View full text |Cite

Lessons to be learned by comparing integrated fisheries stock assessment models (SAMs) with integrated population models (IPMs)

Michael Schaub,

Mark N. Maunder,

Marc Kéry

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

2025

Publication Types

Select...

Article5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 6 publications

References 134 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Numerical analysis of an extended mean field game for harvesting common fishery resource

Yoshioka,

Tsujimura,

Yoshioka

2024

Computers & Mathematics with Applications

View full text Add to dashboard Cite

Numerical analysis of an extended mean field game for harvesting common fishery resource

Yoshioka,

Tsujimura,

Yoshioka

2024

Computers & Mathematics with Applications

View full text Add to dashboard Cite

Towards a comprehensive framework for providing management advice from statistical inference using population dynamics models

Maunder

2024

Ecological Modelling

View full text Add to dashboard Cite

Ordering the alphabet soup: Strategies to improve consistency and develop a framework of tools for fisheries science vocabulary

Wetzel,

Stawitz,

et al. 2024

Fisheries Research

View full text Add to dashboard Cite

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.

Lessons to be learned by comparing integrated fisheries stock assessment models (SAMs) with integrated population models (IPMs)

Cited by 6 publications

References 134 publications

Numerical analysis of an extended mean field game for harvesting common fishery resource

Numerical analysis of an extended mean field game for harvesting common fishery resource

Towards a comprehensive framework for providing management advice from statistical inference using population dynamics models

Ordering the alphabet soup: Strategies to improve consistency and develop a framework of tools for fisheries science vocabulary

Contact Info

Product

Resources

About