Modelling stock-recruitment relationships to examine stock management policies

ICES Journal of Marine Science

Volumn 64, Issue 5, 2007, Pages 870-877

  Kimoto, A ^a   Mouri, T ^a   Matsuishi, T ^a  

^a HOKKAIDO UNIVERSITY   (Japan)

Author keywords

Beverton and holt; Non parametric; Operating model; Recruitment prediction; Ricker; Simulation; Stock recruitment relationship

Indexed keywords

EID: 77953919512     PISSN: 10543139     EISSN: 10959289     Source Type: Journal    
DOI: 10.1093/icesjms/fsm054     Document Type: Article

References (22)

1. Beverton, R. J. H., and Holt, S. J. 1957. On the Dynamics of Exploited Fish Populations. Fisheries Investigations Series II. Her Majesty's Stationery Office, London. 533 pp.
2. Cook, R. 2000. A rough guide to population change in exploited fish stocks. Ecology Letters, 3:394-398.
3. Evans, G. T., and Rice, J. C. 1988. Predicting recruitment from stock size without the mediation of a functional relation. Journal du Conseil International pour l'Exploration de la Mer, 44:111-122.
4. Fisheries Agency and Fisheries Research Agency of Japan. 2004. Marine fisheries stock assessment and evaluation for Japanese waters (fiscal year 2004). 1444 pp.
5. Funamoto, T. 2004. Stock assessment and evaluation for north Japan Sea population of brown sole (fiscal year 2004). In Marine Fisheries Stock Assessment and Evaluation for Japanese Waters (fiscal year 2004), pp. 1234-1258. Fisheries Agency and Fisheries Research Agency of Japan.
6. Gabriel, W. L., Sissenwine, M. P., and Overholtz, W. J. 1989. Analysis of spawning stock biomass per recruit: an example for Georges Bank haddock. North American Journal of Fisheries Management, 9:383-391.
7. Getz, W. M., and Swartzman, G. L. 1981. A probability transition matrix model for yield estimation in fisheries with highly variable recruitment. Canadian Journal of Fisheries and Aquatic Sciences, 38:847-855.
8. ICES, 2004. Report of the ICES Advisory Committee on Fishery Management and Advisory Committee on Ecosystems, 2004. ICES Advice, 1 (2). 1544 pp.
9. Kell, L. T., Pilling, G. M., Kirkwood, G. P., Pastoors, M., Mesnil, B., Korsbrekke, K., Abaunza, P., et al. 2005. An evaluation of the implicit management procedure used for some ICES roundfish stocks. ICES Journal of Marine Science, 62:750-759.
10. Mayo, R. K. 2003. AGEPRO Stochastic Simulations: Woods Hole Fisheries Assessment Complication Toolbox (FACT) -Outlines and Data Sets. NAFO Scientific Council Studies, 36:291-312.
11. Overholtz, W. J., Sissenwine, M. P., and Clark, S. H. 1986. Recruitment variability and its implication for managing and rebuilding the Georges Bank haddock (Melanogrammus aeglefinus) stock. Canadian Journal of Fisheries and Aquatic Sciences, 43:748-753.
12. Paz, J., and Larrañeta, M. G. 1993. Testing non-parametric methods to estimate cod (Gadus morhua) recruitment in NAFO Divisions 3NO. NAFO Scientific Council Studies, 18:27-31.
13. PICES, 2005. The North Pacific Marine Science Organization (PICES). PICES Special Publication: 227-261.
14. Ricker, W. E. 1954. Stock and recruitment. Journal of the Fisheries Research Board of Canada, 11:559-623.
15. Roel, B. A., O'Brien, C. M., and Basson, M. 2004. Management options for the Blackwater herring, a local spring-spawning stock in the Thames Estuary. ICES Journal of Marine Science, 61:297-307.
16. Serchuk, F. M., Rivard, D., Casey, J., and Mayo, R. K. 1999. A conceptual framework for the implementation of the precautionary approach to fisheries management within the Northwest Atlantic Fisheries Organization (NAFO). NOAA Technical Memorandum NMFS-F/SPO, 40:103-119.
17. Shepherd, J. G. 1997. Prediction of year-class strength by calibration regression analysis of multiple recruit index series. ICES Journal of Marine Science, 54:741-752.
18. Stone, M. 1974. Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society, Series B, 36:111-147.
19. Stone, M. 1977. An asymptotic equivalence of choice of model by cross-validation and Akaike's criterion. Journal of the Royal Statistical Society, Series B, 39:44-47.
20. Swartzman, G. L., Getz, W. M., Francis, R. C., Haar, R. T., and Rose, K. 1983. A management analysis of the Pacific whiting (Merluccius productus) fishery using an age-structured stochastic recruitment model. Canadian Journal of Fisheries and Aquatic Sciences, 40:524-539.
21. Yabuki, K. 2004a. Stock assessment and evaluation for Japan Pacific population of walleye pollock (fiscal year 2004). In Marine Fisheries Stock Assessment and Evaluation for Japanese Waters (fiscal year 2004), pp. 304-339. Fisheries Agency and Fisheries Research Agency of Japan.
22. Yabuki, K. 2004b. Stock assessment and evaluation for north Japan Sea population of walleye pollock (fiscal year 2004). In Marine Fisheries Stock Assessment and Evaluation for Japanese Waters (fiscal year 2004), 249-283. Fisheries Agency and Fisheries Research Agency of Japan.