A state-space approach to incorporating environmental effects on recruitment in an age-structured assessment model with an application to southern New England yellowtail flounder
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A state-space approach to incorporating environmental effects on recruitment in an age-structured assessment model with an application to southern New England yellowtail flounder
Authors
Keywords
-
Journal
CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES
Volume 73, Issue 8, Pages 1261-1270
Publisher
Canadian Science Publishing
Online
2016-02-11
DOI
10.1139/cjfas-2015-0339
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A state-space stock assessment model for northern cod, including under-reported catches and variable natural mortality rates
- (2016) Noel G. Cadigan CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES
- Ecosystem processes are rarely included in tactical fisheries management
- (2015) Mette Skern-Mauritzen et al. FISH AND FISHERIES
- Estimation of time-varying selectivity in stock assessments using state-space models
- (2014) Anders Nielsen et al. FISHERIES RESEARCH
- Random effect estimation of time-varying factors in Stock Synthesis
- (2014) J. T. Thorson et al. ICES JOURNAL OF MARINE SCIENCE
- Evaluating the Consequences of Adjusting Fish Stock Assessment Estimates of Biomass for Retrospective Patterns using Mohn's Rho
- (2014) Jonathan J. Deroba NORTH AMERICAN JOURNAL OF FISHERIES MANAGEMENT
- An age-structured state-space stock–recruit model for Pacific salmon (Oncorhynchus spp.)
- (2013) Steven J. Fleischman et al. CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES
- Comment on temperature-dependent stock–recruit modeling for Pacific sardine (Sardinops sagax) in Jacobson and MacCall (1995), McClatchie et al. (2010), and Lindegren and Checkley (2013)
- (2013) Larry D. Jacobson et al. CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES
- Fisheries management under climate and environmental uncertainty: control rules and performance simulation
- (2013) A. E. Punt et al. ICES JOURNAL OF MARINE SCIENCE
- Impact of survey design changes on stock assessment advice: sea scallops
- (2013) Stephen J. Smith et al. ICES JOURNAL OF MARINE SCIENCE
- Stock synthesis: A biological and statistical framework for fish stock assessment and fishery management
- (2012) Richard D. Methot et al. FISHERIES RESEARCH
- Adjusting for bias due to variability of estimated recruitments in fishery assessment models
- (2011) Richard D. Methot et al. CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES
- Modelling non-stationary natural mortality in catch-at-age models
- (2011) Y. Jiao et al. ICES JOURNAL OF MARINE SCIENCE
- AD Model Builder: using automatic differentiation for statistical inference of highly parameterized complex nonlinear models
- (2011) David A. Fournier et al. OPTIMIZATION METHODS & SOFTWARE
- When can we reliably estimate the productivity of fish stocks?
- (2010) Paul B. Conn et al. CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES
- Re-assessment of the stock–recruit and temperature–recruit relationships for Pacific sardine (Sardinops sagax)
- (2010) Sam McClatchie et al. CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES
- Dealing with missing covariate data in fishery stock assessment models
- (2009) Mark N. Maunder et al. FISHERIES RESEARCH
- Testing different methods of incorporating climate data into the assessment of US West Coast sablefish
- (2009) M. J. Schirripa et al. ICES JOURNAL OF MARINE SCIENCE
- INCORPORATING COVARIATES INTO FISHERIES STOCK ASSESSMENT MODELS WITH APPLICATION TO PACIFIC HERRING
- (2008) Richard B. Deriso et al. ECOLOGICAL APPLICATIONS
- Evaluating methods for estimating process and observation error variances in statistical catch-at-age analysis
- (2008) Brian C. Linton et al. FISHERIES RESEARCH
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started