@inproceedings{fdi:42774,
  title = {{T}he influence of environment on stock assessment : an approach with surplus production models},
  author = {{F}r{\'e}on, {P}ierre},
  editor = {},
  language = {{ENG}},
  abstract = {{C}onventional 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. {O}ften 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. {T}herefore an additional environmental variable has been inserted into conventional models in order to improve their accuracy. {T}hese variables appear in simple formulae regarding either the stock abundance (surplus production), or the catchabiltiy coefficient, or both. {T}he models are developed from the {S}chaefer's linear production model, the {F}ox's exponential model or the {P}ella and {T}omlinson 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. {T}he 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. ({R}{\'e}sum{\'e} d'auteur)},
  keywords = {{POISSON} {MARIN} ; {ESPECE} {PELAGIQUE} ; {CROISSANCE} ; {MORTALITE} ; {PECHE} {MARITIME} ; {SENNE} ; {EFFORT} {DE} {PECHE} ; {MODELE} ; {SYSTEME} {EXPERT} ; {MER} {DE} {JAVA}},
  numero = {},
  pages = {231--254},
  booktitle = {{B}iodynex : biology, dynamics, exploitation of the small pelagic fishes in the {J}ava {S}ea},
  year = {1995},
  URL = {https://www.documentation.ird.fr/hor/fdi:42774},
}