Fréon Pierre auteur aut IRD text conferencePaper eng text/pdf reformatted digital access Conventional global production models are not suitable for some stocks because fishing effort variations only explain only a small part of the total variability of annual catches. Often the residual variability originates from the influence of environmental phenomena, which affects either the abundance or the catchability of a stock from one year to the next. Therefore an additional environmental variable has been inserted into conventional models in order to improve their accuracy. These variables appear in simple formulae regarding either the stock abundance (surplus production), or the catchabiltiy coefficient, or both. The models are developed from the Schaefer's linear production model, the Fox's exponential model or the Pella and Tomlinson generalized model. CLIMPROD is an experimental expert-system, using artificial intelligence, which provides a statistical and graphical description of the data set and helps the user to select the model corresponding to his case according to objective criteria. The software fits the model to the data set using a non-linear regression routine, assesses the fit with parametric and non-parametric tests, and provides a graphical representation of the results. (Résumé d'auteur) POISSON MARIN ESPECE PELAGIQUE CROISSANCE MORTALITE PECHE MARITIME SENNE EFFORT DE PECHE MODELE SYSTEME EXPERT 040PECHE03 Biodynex Seminar, Jakarta (IND), 94/03/21-25 231-254 Potier Michel ed. edt IRD Nurhakim S. ed. edt IRD Jakarta Agency for Agricultural Research and Development 1995 https://www.documentation.ird.fr/hor/fdi:42774 [F A42774] https://www.documentation.ird.fr/hor/fdi:42774 https://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers09-06/42774.pdf IRD - Base Horizon / Pleins textes 1995-10-26 2009-08-31 fdi:42774 fre