Li et al.: A comparison of 4 age-structured stock assessment models 
167 
Gabriel, W. L., and P. M. Mace. 
1999. A review of biological reference points in the context 
of the precautionary approach. In Proceedings of the 5th 
annual NMFS National Stock Assessment Workshop, 
p. 34-45. NOAA Tech. Memo. NMFS-F/SPO-40. 
Henriquez, V., R. Licandeo, L. A. Cubillos, and S. P. Cox. 
2016. Interactions between ageing error and selectivity in 
statistical catch-at-age models: simulations and implica- 
tions for assessment of the Chilean Patagonian toothfish 
fishery. ICES J. Mar. Sci. 73:1074—1090. 
Hilborn, R. 
1985. Simplified calculation of optimum spawning stock size 
from Ricker’s stock recruitment curve. Can. J. Fish. Aquat. 
Sci. 42:1833-1834. 
Hilborn, R., and C. J. Walters. 
1992. Quantitative fisheries stock assessment, choice, 
dynamics and uncertainty, 570 p. Routledge, Chapman and 
Hall, London. 
Tanelli, J. N., and D. A. Fournier. 
1998. Alternative age-structured analyses of the NRC sim- 
ulated stock assessment data. In Analyses of simulated 
data sets in support of the NRC study on stock assessment 
methods (V. R. Restrepo, ed.), p. 81-96. NOAA Tech. Memo. 
NMFS-F/SPO-30. 
Johnson, K. F., C. C. Monnahan, C. R. McGilliard, K. A. Vert-pre, 
S. C. Anderson, C. J. Cunningham, F. Hurtado-Ferro, 
R. R. Licandeo, M. L. Muradian, K. Ono, et al. 
2015. Time-varying natural mortality in fisheries stock 
assessment models: identifying a default approach. ICES 
J. Mar. Sci. 72:137-150. 
Legault, C. M., and V. R. Restrepo. 
1999. A flexible forward age-structured assessment program. 
ICCAT Collect. Vol. Sci. Pap. 49(2):246-253. SCRS/98/058. 
[Available from website.] 
Lynch, P. D., R. D. Methot, and J. S. Link (eds.). 
2018. Implementing a next generation stock assessment 
enterprise. An update to the NOAA Fisheries stock assess- 
ment improvement plan. NOAA Tech. Memo. NMFS-F/ 
SPO-183, 127 p. 
Maunder, M.N., and A. E. Punt. 
2013. A review of integrated analysis in fisheries stock 
assessment. Fish. Res. 142:61—74. 
Maunder, M. N., and K. R. Piner. 
2015. Contemporary fisheries stock assessment: many issues 
still remain. ICES J. Mar. Sci. 72:7-18. 
Methot, R. D., Jr., and I. G. Taylor. 
2011. Adjusting for bias due to variability of estimated 
recruitments in fishery assessment models. Can. J. Fish. 
Aquat. Sci. 68:1744-1760. 
Methot, R. D., Jr., and C. R. Wetzel. 
2013. Stock synthesis: a biological and statistical framework 
for fish stock assessment and fishery management. Fish. 
Res. 142:86-99. 
Methot, R. D., Jr., G. R. Tromble, D. M. Lambert, and K. E. Greene. 
2014. Implementing a science-based system for preventing 
overfishing and guiding sustainable fisheries in the United 
States. ICES J. Mar. Sci. 71:183-194. 
NRC (National Research Council). 
1998. Improving fish stock assessments, 188 p. National 
Academies Press, Washington, D.C. 
Ono, K., R. Licandeo, M. L. Muradian, C. J. Cunningham, 
S. C. Anderson, F. Hurtado-Ferro, K. F. Johnson, C. R. McGilliard, 
C. C. Monnahan, C. S. Szuwalski, et al. 
2015. The importance of length and age composition data in 
statistical age-structured models for marine species. ICES 
J. Mar. Sci. 72:31—43. 
Piner, K. R., H.-H. Lee, M. N. Maunder, and R. D. Methot. 
2011. A simulation-based method to determine model misspec- 
ification: examples using natural mortality and population 
dynamics models. Mar. Coast. Fish. 3:336—-343. 
Punt, A. E., A. Dunn, B. P. Elvarsson, J. Hampton, S. D. Hoyle, 
M. N. Maunder, R. D. Methot, and A. Nielsen. 
2020. Essential features of the next-generation integrated 
fisheries stock assessment package: a perspective. Fish. 
Res. 229:105617. 
Quinn, T. J., II, and R. B. Deriso. 
1999. Quantitative fish dynamics, 540 p. Oxford Univ. Press, 
Oxford, UK. 
Restrepo, V. R., G. G. Thompson, P. M. Mace, W. L. Gabriel, 
L. L. Low, A. D. MacCall, R. D. Methot, J. E. Powers, B. L. Taylor, 
P. R. Wade, et al. 
1998. Technical guidance on the use of precautionary 
approaches to implementing National Standard 1 of the 
Magnuson-Stevens Fishery Conservation and Manage- 
ment Act. NOAA Tech Memo NMFS-F/SPO-31, 48 p. 
Rosenberg, A. A., K. M. Kleisner, J. Afflerbach, S. C. Anderson, 
M. Dickey-Collas, A. B. Cooper, M. J. Fogarty, E. A. Fulton, 
N. L. Gutiérrez, K. J. W. Hyde, et al. 
2018. Applying a new ensemble approach to estimating stock 
status of marine fisheries around the world. Conserv. Lett. 
11:e12363. 
Sampson, D. B., and Y. Yin. 
1998. A Monte Carlo evaluation of the Stock Synthesis 
assessment program. Jn Fishery stock assessment models. 
Alaska Sea Grant Rep. 98-01 (D. Sampson and Y. Yin, eds.), 
p. 315-338. Alaska Sea Grant College Prog., Univ. Alaska 
Fairbanks, Fairbanks, AK. 
Siegfried, K. I., E. H. Williams, K. W. Shertzer, and L. G. Coggins. 
2016. Improving stock assessments through data prioritiza- 
tion. Can. J. Fish. Aquat. Sci. 73:1703-1711. 
Smith, S. J., J. J. Hunt, and D. Rivard (eds.). 
1993. Risk evaluation and biological reference points for fish- 
eries management. Can. Spec. Publ. Fish. Aquat. Sci. 120, 
442 p. 
Stewart, I. J., and S. J. D. Martell. 
2015. Reconciling stock assessment paradigms to bet- 
ter inform fisheries management. ICES J. Mar. Sci. 
72:2187-2196. 
Subbey, S., J. A. Devine, U. Schaarschmidt, and R. D. M. Nash. 
2014. Modelling and _ forecasting stock—recruitment: 
current and future perspectives. ICES J. Mar. Sci. 
71:2307-2322. 
Walters, C. J. 
1990. A partial bias correction factor for stock—recruitment 
parameter estimation in the presence of autocorrelated 
environmental effects. Can. J. Fish. Aquat. Sci. 47:516-519. 
Wetzel, C. R., and A. E. Punt. 
2011. Performance of a fisheries catch-at-age model (Stock 
Synthesis) in data-limited situations. Mar. Freshw. Res. 
62:927-936. 
Williams, E. H., and K. W. Shertzer. 
2015. Technical documentation of the Beaufort Assessment 
Model (BAM). NOAA Tech. Memo. NMFS-SEFSC-671, 
43 p. 
Yin, Y., and D. B. Sampson. 
2004. Bias and precision of estimates from an age-structured 
stock assessment program in relation to stock and 
data characteristics. North Am. J. Fish. Manage. 
24:865-879. 
