Application of dynamic factor analysis in the assessment of Iberian anglerfish stocks

ICES Journal of Marine Science

Volumn 65, Issue 7, 2008, Pages 1362-1369

  Azevedo, Manuela ^a   Duarte, Rafael ^a   Cardador, Fátima ^a   Sousa, Pedro ^a   Fariña, Celso ^b   Sampedro, Paz ^b   Landa, Jorge ^c   Costas, Gersom ^d  

^a INSTITUTO PORTUGUÊS DO MAR E DA ATMOSFERA   (Portugal)

^b Centro Oceanográfico de A Coruña   (Spain)

^c Centro Oceanográfico de Santander   (Spain)

^d Instituto Español de Oceanografía Subida a Radio Faro   (Spain)

Author keywords

Anglerfish; Dynamic factor analysis; Lophius budegassa; Lophius piscatorius; Stock assessment

Indexed keywords

CATCH PER UNIT EFFORT; ESTIMATION METHOD; FACTOR ANALYSIS; STOCK ASSESSMENT; TELEOST; TIME SERIES; UNCERTAINTY ANALYSIS;

LOPHIIFORMES; LOPHIUS BUDEGASSA; LOPHIUS PISCATORIUS;

EID: 52449126913     PISSN: 10543139     EISSN: 10959289     Source Type: Journal    
DOI: 10.1093/icesjms/fsn096     Document Type: Article

References (17)

1. Akaike, H. 1974. A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19: 716-723.
2. Duarte, R., Azevedo, M., Landa, J., and Pereda, P. 2001. Reproduction of anglerfish (Lophius budegassa Spinola and Lophius piscatorius Linnaeus) from the Atlantic Iberian coast. Fisheries Research, 21: 349-361.
3. Gavaris, S. 1988. An adaptative framework for the estimation of population size. CAFSAC Research Document, 88/29. 12 pp.
4. ICES. 2007a. Report of the Working Group on the Assessment of Southern Shelf Stocks of Hake, Monk, and Megrim. Vigo, 8-17 May, 2007. ICES Document CM 2007/ACFM: 21: 296-390.
5. ICES. 2007b. ICES Advice 2007. Book 7, Bay of Biscay and Western Iberia, pp. 51-58.
6. ICES. 2007c. Report of the Working on the Assessment of Mackerel, Horse Mackerel, Sardine and Anchovy. Copenhagen, 4-13 September, 2007. ICES Document CM 2007/ACFM: 31: 318-378.
7. Jolliffe, I. T. 2002. Principal Component Analysis, 2nd edn. Springer, New York. 271 pp.
8. Landa, J., Pereda, P., Duarte, R., and Azevedo, M. 2001. Growth of anglerfish (Lophius piscatorius and L. budegassa) in Atlantic Iberian waters. Fisheries Research, 51: 363-376.
9. Patterson, K. R., and Melvin, G. 1996. Integrated catch at age analysis, Version 1.2. Scottish Fisheries Research Report, 58. 60 pp.
10. Prager, M. H. 1994. A suite of extension to a non-equilibrium surplus-production model. Fishery Bulletin US, 92: 374-389.
11. Prager, M. H. 2004. User's manual for ASPIC: a stock-production model incorporating covariates (ver. 5) and auxiliary programs. NMFS Beaufort Laboratory Document BL-2004-01. 25 pp.
12. Punt, A. E., and Hilborn, R. 1996. Biomass dynamic models. Users Manual. FAO Computerized Information Series (Fisheries), 10. FAO, Rome. 62 pp.
13. Schaefer, M. 1954. Some aspects of the dynamics of populations important to the management of the commercial marine fisheries. Bulletin of the Inter-American Tropical Tuna Commission, 1: 27-56.
14. Sousa, P., Azevedo, M., and Gomes, M. C. 2006. Searching for common diversity trends in the deep demersal assemblage off Portugal, 1989-1999: an essay with dynamic factor analysis. INUAF Studia, 9: 73-90.
15. Zuur, A. F., Fryer, R. J., Jolliffe, I. T., Decker, R., and Beukema, J. J. 2003a. Estimating common trends in multivariate time series using dynamic factor analysis. Environmetrics, 17: 665-685.
16. Zuur, A. F., and Pierce, G. J. 2004. Common trends in Northeast Atlantic squid time series. Journal of Sea Research, 52: 57-72.
17. Zuur, A. F., Tuck, I. D., and Bailey, N. 2003b. Dynamic factor analysis to estimate common trends in fisheries time series. Canadian Journal of Fisheries and Aquatic Sciences, 60: 542-552.