The effect of length bin width on growth estimation in integrated age-structured stock assessments

Fisheries Research

Volumn 180, Issue , 2016, Pages 103-112

  Monnahan, Cole C ^a   Ono, Kotaro ^b   Anderson, Sean C ^b,c   Rudd, Merrill B ^b   Hicks, Allan C ^d   Hurtado Ferro, Felipe ^b   Johnson, Kelli F ^b   Kuriyama, Peter T ^b   Licandeo, Roberto R ^e   Stawitz, Christine C ^a   Taylor, Ian G ^d   Valero, Juan L ^f  

^a UNIVERSITY OF WASHINGTON   (United States)

^b Univ WA Sch Aquatic Fish Sciences   (United States)

^c SIMON FRASER UNIVERSITY   (Canada)

^d NORTHWEST FISHERIES SCIENCE CENTER   (United States)

^e UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^f UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Fisheries stock assessment; Simulation testing; Somatic growth; Ss3sim; Stock synthesis

Indexed keywords

EID: 84947968314     PISSN: 01657836     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fishres.2015.11.002     Document Type: Article

References (26)

1. Anderson S.C., Monnahan C.C., Johnson K.F., Ono K., Valero J.L. ss3sim: an R package for fisheries stock assessment simulation with stock synthesis. PLoS One 2014, 9:e92725.
2. Anderson, S.C., Monnahan, C.C., Johnson, K.F., Ono, K., Valero, J.L., Cunningham, C.J., Hurtado-Ferro, F., Licandeo, R., McGilliard, C.R., Szuwalski, C.S., Vert-Pre, K.A., Whitten, A.R., 2014b, ss3sim: Fisheries stock assessment simulation testing with Stock Synthesis. R package version 0.8.2.99.
3. Conn P.B., Williams E.H., Shertzer K.W. When can we reliably estimate the productivity of fish stocks?. Can. J. Fish. Aquat. Sci. 2010, 67:511-523.
4. Crone P.R., Valero J.L. Evaluation of length- vs. age-composition data and associated selectivity assumptions used in stock assessments based on robustness of derived management quantities. Fish. Res. 2014, 158:165-171.
5. Deroba J.J., Butterworth D.S., Methot R.D., De Oliveira J.A.A., Fernandez C., Nielsen A., Cadrin S.X., Dickey-Collas M., Legault C.M., Ianelli J., Valero J.L., Needle C.L., O'Malley J.M., Chang Y.J., Thompson G.G., Canales C., Swain D.P., Miller D.C.M., Hintzen N.T., Bertignac M., Ibaibarriaga L., Silva A., Murta A., Kell L.T., de Moor C.L., Parma A.M., Dichmont C.M., Restrepo V.R., Ye Y., Jardim E., Spencer P.D., Hanselman D.H., Blaylock J., Mood M., Hulson P.J.F. Simulation testing the robustness of stock assessment models to error: some results from the ICES strategic initiative on stock assessment methods. ICES J. Mar. Sci. 2014, 72:19-30.
6. Drouineau H., Mahévas S., Bertignac M., Fertin A. Assessing the impact of discretisation assumptions in a length-structured population growth model. Fish. Res. 2008, 91:160-167.
7. Francis R.I.C.C. Replacing the multinomial in stock assessment models: a first step. Fish. Res. 2014, 151:70-84.
8. Goodyear C.P. Analysis of potential yield per recruit for striped bass produced in Chesapeake Bay. N. Am. J. Fish. Manage. 1984, 4:488-496.
9. He X., Field J.C., Pearson D.E., Lefebvre L.S. Age sample sizes and their effects on growth estimation and stock assessment outputs: three case studies from U.S. West Coast fisheries. Fish. Res. 2015, 10.1016/j.fishres.2015.08.018.
10. Hilborn R., Walters C.J. Quantitative Fisheries Stock Assessment: Choice Dynamics and Uncertainty 1992, Springer Science & Business Media.
11. Hurtado-Ferro F., Szuwalski C.S., Valero J.L., Anderson S.C., Cunningham C.J., Johnson K.F., Licandeo R., McGilliard C.R., Monnahan C.C., Muradian M.L., Ono K., Vert-Pre K.A., Whitten A.R., Punt A.E. Looking in the rear-view mirror: bias and retrospective patterns in integrated, age-structured stock assessment models. ICES J. Mar. Sci. 2014, 72:99-110.
12. Johnson K.F., Monnahan C.C., McGilliard C.R., Vert-pre K.A., Anderson S.C., Cunningham C.J., Hurtado-Ferro F., Licandeo R.R., Muradian M.L., Ono K., Szuwalski C.S., Valero J.L., Whitten A.R., Punt A.E. Time-varying natural mortality in fisheries stock assessment models: identifying a default approach. ICES J. Mar. Sci. 2014, 72:137-150.
13. Magnusson A., Hilborn R. What makes fisheries data informative?. Fish Fish. 2007, 8:337-358.
14. Maunder M.N. Review and evaluation of likelihood functions for composition data in stock-assessment models: estimating the effective sample size. Fish. Res. 2011, 109:311-319.
15. Maunder M.N., Piner K.R. Contemporary fisheries stock assessment: many issues still remain. ICES J. Mar. Sci. 2015, 72:7-18.
16. Methot, R.D, 2015. User manual for Stock Synthesis. Version 3.24s. Available at:. http://www.st.nmfs.noaa.gov/Assets/science:program/SS_User_Manual_3.24s.pdf.
17. Methot R.D., Taylor I.G. Adjusting for bias due to variability of estimated recruitments in fishery assessment models. Can. J. Fish. Aquat. Sci. 2011, 68:1744-1760.
18. Methot R.D., Wetzel C.R. Stock synthesis: a biological and statistical framework for fish stock assessment and fishery management. Fish. Res. 2013, 142:86-99.
19. Ono K., Licandeo R., Muradian M.L., Cunningham C.J., Anderson S.C., Hurtado-Ferro F., Johnson K.F., McGilliard C.R., Monnahan C.C., Szuwalski C.S., Valero J.L., Vert-Pre K.A., Whitten A.R., Punt A.E. The importance of length and age composition data in statistical age-structured models for marine species. ICES J. Mar. Sci. 2014, 72:31-43.
20. Punt A.E., Butterworth D.S., de Moor C.L., De Oliveira J.A.A., Haddon M. Management strategy evaluation: best practices. Fish Fish. 2014, 10.1111/faf.12104.
21. R Core Team R: A Language and Environment for Statistical Computing 2015, R Foundation for Statistical Computing, Vienna, Austria.
22. Schnute J. A versatile growth-model with statistically stable parameters. Can. J. Fish. Aquat. Sci. 1981, 38:1128-1140.
23. SEDAR SEDAR 8-Caribbean Yellowtail Snapper Stock Assessment Report 2005, SEDAR, North Charleston, SC, Available online at: http://sedarweb.org/docs/sar/S8SAR1_CaribYTSfinal.pdf.
24. Stewart I.J., Hicks A.C., Taylor I.G., Thorson J.T., Wetzel C., Kupschus S. A comparison of stock assessment uncertainty estimates using maximum likelihood and Bayesian methods implemented with the same model framework. Fish. Res. 2013, 142:37-46.
25. Szuwalski C.S. Biases in biomass estimates: the effect of bin width in size-structured stock assessment methods. Fish. Res. 2015, 10.1016/j.fishres.2015.06.023.
26. Taylor, I., Wetzel, C., 2011. Status of the US yelloweye rockfish resource in 2011 (Update of 2009 assessment model). Pacific Fishery Management Council, Portland, OR. Available online at:. http://www.pcouncil.org/wp-content/uploads/Yelloweye_2011_Rebuilding.pdf.