Skip Navigation

ICES Journal of Marine Science: Journal du Conseil 2006 63(4):594-599; doi:10.1016/j.icesjms.2006.01.001
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Francis, R.I.C. C.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Francis, R.I.C. C.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© 2006 International Council for the Exploration of the Sea

Measuring the strength of environment–recruitment relationships: the importance of including predictor screening within cross-validations

R.I.C. Chris Francis*

National Institute of Water and Atmospheric Research Private Bag 14902, Wellington, New Zealand

*Correspondence to R. I. C. C. Francis: tel: +64 4 386 0525; fax: +64 4 386 0574. e-mail: c.francis{at}niwa.co.nz.

There has recently been considerable interest in establishing relationships between environmental variables and annual recruitment to fish stocks. Such relationships have the potential to reduce the uncertainty in the assessment of the stocks. When many environmental variables are considered, it is easy to draw conclusions that exaggerate the ability to predict recruitment. One technique to protect against this is cross-validation. This technique has usually been incorrectly applied, in that it has not included predictor screening (the selection from a large set of potential predictors of a smaller set to use in prediction). A simulation experiment is used to show that this omission can cause chance correlations to be wrongly identified as useful, and the reliability of useful predictors to be overestimated. It also shows that the mistaken use of chance correlations to predict recruitment can be worse than the use of the default predictor (the mean of previous recruitments), and that our ability to measure the reliability of recruitment predictors is typically poor.

Keywords: cross-validation, environment, predictor screening, recruitment

Received 29 September 2005; accepted 10 January 2006.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
ICES J. Mar. Sci.Home page
A. B. Hollowed, N. A. Bond, T. K. Wilderbuer, W. T. Stockhausen, Z. T. A'mar, R. J. Beamish, J. E. Overland, and M. J. Schirripa
A framework for modelling fish and shellfish responses to future climate change
ICES J. Mar. Sci., August 1, 2009; 66(7): 1584 - 1594.
[Abstract] [Full Text] [PDF]


Home page
ICES J. Mar. Sci.Home page
A. Lavin, X. Moreno-Ventas, V. Ortiz de Zarate, P. Abaunza, and J. M. Cabanas
Environmental variability in the North Atlantic and Iberian waters and its influence on horse mackerel (Trachurus trachurus) and albacore (Thunnus alalunga) dynamics
ICES J. Mar. Sci., April 1, 2007; 64(3): 425 - 438.
[Abstract] [Full Text] [PDF]


Home page
ICES J. Mar. Sci.Home page
E. N. Brooks and J. E. Powers
Generalized compensation in stock-recruit functions: properties and implications for management
ICES J. Mar. Sci., April 1, 2007; 64(3): 413 - 424.
[Abstract] [Full Text] [PDF]



Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.