Species and habitats - Spondyliosoma cantharus - Mature - Potential habitat in October modelled by Quantile Regression and its uncertainty with CGFS data

Date(s) (Publication)
Custodian(s): CHARM Consortium
Resource provider(s): Franck Coppin
Affiliation(s) 1 : Ifremer
2 : CHARM Consortium
Credit IFREMER
ID CHARM_SPONCAN_S1_CGFS_RQ_MOD_ERR_R
Abstract Modelised abundance of species or prediction uncertainty.
Keywords Species data set, CHARM, R├ępartition des esp├Ęces, ressource halieutique
Lineage In short, models based on GLMs predict the mean response of the species to environmental factors whilst models based on RQ predict the maximal response. When GLM uses abundance data, the preferential habitat is predicted, whilst the probable habitat is predicted when GLM uses binary presence-absence data. Generalised Linear Modelling (GLM) describes and predicts the "preferential habitat", i.e. the portion of the potential habitat that is used on average over time, or, in the case of
Utilisation research-only