More knowledge with the same amount of data: Advantage of accounting for parameter correlations in hierarchical meta-analyses

Marine Ecology Progress Series

Volumn 443, Issue , 2011, Pages 29-37

  Pulkkinen, Henni ^a,c   Mäntyniemi, Samu ^a   Kuikka, Sakari ^a   Levontin, Polina ^b  

^a UNIVERSITY OF HELSINKI   (Finland)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c FINNISH FOREST RESEARCH INSTITUTE   (Finland)

Author keywords

Bayesian hierarchical models; Correlation; Informative; Reducing uncertainty

Indexed keywords

BYCATCH; CORRELATION; COST-BENEFIT ANALYSIS; DATA SET; DATABASE; FECUNDITY; FISHERY MODELING; LENGTH-FREQUENCY ANALYSIS; LENGTH-WEIGHT RELATIONSHIP; LIFE HISTORY TRAIT; META-ANALYSIS; NUMERICAL MODEL; PARAMETERIZATION; STOCK ASSESSMENT; UNCERTAINTY ANALYSIS;

EID: 84555208130     PISSN: 01718630     EISSN: None     Source Type: Journal    
DOI: 10.3354/meps09368     Document Type: Article

References (19)

1. Barnard J, McCulloch R, Meng XL (2000) Modeling covariance matrices in terms of standard deviations and correlations, with application to shrinkage. Statist Sinica 10: 1281-1311
2. Bohlin T, Dellefors C, Faremo U (1990) Large or small at maturity-theories on the choice of alternative male strategies in anadromous salmonids. Ann Zool Fenn 27: 139-147
3. Fenichel EP, Tsao JI, Jones ML, Hickling GJ (2008) Real options for precautionary fisheries management. Fish Fish 9: 121-137
4. Froese R (2006) Cube law, condition factor and weightlength relationships: history. Meta-analysis and recommendations. J Appl Ichthyology 22: 241-253
5. Froese R, Pauly D (eds) (2011) FishBase, World Wide Web electronic publication www.fishbase.org (10/2011)
6. Gelman A, Carling JB, Stern HS, Rubin DB (2004). Bayesian data analysis, 2nd edn. Chapman & Hall/CRC Press, Boca Raton, FL
7. Gislason H, Daan N, Rice JC, Pope JG (2010) Size, growth, temperature and the natural mortality of marine fish. Fish Fish 11: 149-158
8. Gulland JA (1983) Fish stock assessment: a manual of basic methods. John Wiley & Sons, Chichester
9. He X, Mangel M, MacCall A (2006) A prior for steepness in stock-recruitment relationships, based on an evolutionary persistence principle. Fish Bull 104: 428-433
10. Helser TE, Lai HL (2004) A Bayesian hierarchical metaanalysis of fish growth: with an example for North American largemouth bass, Micropterus salmoides. Ecol Model 178: 399-416
11. Hilborn R, Liermann M (1998) Standing on the shoulders of giants: learning from experience in fisheries. Rev Fish Biol Fish 8: 273-283
12. Jennings S, Beverton RJH (1991) Intraspecific variation in the life history tactics of Atlantic herring (Clupea harengus L.) stocks. ICES J Mar Sci 48: 117-125
13. Mäntyniemi S, Kuikka S, Rahikainen M, Kell LT, Kaitala V (2009) The value of information in fisheries management: North Sea herring as an example. ICES J Mar Sci 66: 2278-2283
14. McCarthy M, Masters P (2005) Profiting from prior information in Bayesian analyses of ecological data. J Appl Ecol 42: 1012-1019
15. McDonald AD, Smith ADM (1997) A tutorial on evaluating expected returns from research for fishery management. Nat Resour Model 10: 185-216
16. Myers RA, Mertz G (1998) Reducing uncertainty in the biolo gical basis of fisheries management by meta-analysis of data from many population: a synthesis. Fish Res 37: 51-60
17. Prevost E, Parent E, Crozier W, Davison I and others (2003) Setting biological reference points for Atlantic salmon stocks: transfer of information from data-rich to sparsedata situations by Bayesian hierarchical modelling. ICES J Mar Sci 60: 1177-1193
18. Rochet MJ (2000) A comparative approach to life-history strategies and tactics among four orders of teleost fish. ICES J Mar Sci 57: 228-239
19. Thorpe JE, Miles MS, Keay DS (1984) Developmental rate, fecundity and egg size in Atlantic salmon, Salmo salar L. Aquaculture 43: 289-305