Forecasting fish recruitment in age‐structured population models-Reference-Cited by-同舟云学术

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Forecasting fish recruitment in age‐structured population models

Published:2021-04-22 Issue:5 Volume:22 Page:941-954
ISSN:1467-2960
Container-title:Fish and Fisheries
language:en
Short-container-title:Fish Fish

Author:

Van Beveren Elisabeth¹^ORCID,Benoît Hugues P.¹,Duplisea Daniel E.¹

Affiliation:

1. Fisheries and Oceans Canada Institut Maurice‐Lamontagne Mont‐Joli QC Canada

Publisher

Wiley

Subject

Management, Monitoring, Policy and Law,Aquatic Science,Ecology, Evolution, Behavior and Systematics,Oceanography

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/faf.12562

Reference65 articles.

1. ss3sim: An R Package for Fisheries Stock Assessment Simulation with Stock Synthesis

2. The importance of environmental factors in the design of management procedures

3. Accounting for correlated observations in an age-based state-space stock assessment model

4. When “data” are not data: the pitfalls of post hoc analyses that use stock assessment model output

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Explaining empirical dynamic modelling using verbal, graphical and mathematical approaches;Ecology and Evolution;2024-05

2. Modelling time-varying growth in state-space stock assessments;ICES Journal of Marine Science;2023-08-24

3. A statistical framework for identifying the relative importance of ecosystem processes and demographic factors on fish recruitment, with application to Atlantic herring (Clupea harengus) in the southern Gulf of St. Lawrence;Canadian Journal of Fisheries and Aquatic Sciences;2023-06-15

4. Modeling pulse dynamics of juvenile fish enables the short-term forecasting of population dynamics in Japanese pufferfish: a latent variable approach and hindcasting;Canadian Journal of Fisheries and Aquatic Sciences;2023-02-14

5. Correlations in recruitment patterns of Atlantic reef fishes off the southeastern United States based on multi-decadal estimates from stock assessments;Regional Studies in Marine Science;2023-01

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