Species and habitats - Raja clavata - Mature Female - Potential habitat in July modelled by Quantile Regression and its uncertainty with BTS data

Date(s) (Publication)
Custodian(s): CHARM Consortium
Point of contact(s): Steve Mackinson
Affiliation(s) 1 : Center for Environment, Fisheries & Aquaculture Science
2 : CHARM Consortium
Credit CEFAS
Abstract Modelised abundance of species or prediction uncertainty.
Keywords Species data set, CHARM, Habitats et biotopes, 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

Formal permission induced by existence of a license.

Has to be cited this way in maps : "Source CHARM Consortium"

Has to be cited this way in bibliography : "Carpentier A, Martin CS, Vaz S (Eds.), 2009. Channel Habitat Atlas for marine Resource Management, final report / Atlas des habitats des ressources marines de la Manche orientale, rapport final (CHARM phase II). INTERREG 3a Programme, IFREMER, Boulogne-sur-mer, France. 626 pp. & CD-rom"