00000nam 2200000za 4500 9.825808 CaOODSP 20221107144438 cr ||||||||||| 161021s2016 oncbd ob f000 0 eng d 978-0-660-06544-1 CaOODSP eng eng fre n-cn--- Fs97-6/3181E-PDF Species distribution modelling of crinoids, bryozoans and ascidians in the Newfoundland and Labrador region [electronic resource] / by J. Guijarro ... [et al.]. Title at head of French abstract: Modélisation de la répartition des espèces de crinoïdes, de bryozoaires et d'ascidies dans la région de Terre-Neuve-et-Labrador [Ottawa] : Fisheries and Oceans Canada, c2016. v, 60 p. : col. maps Canadian technical report of fisheries and aquatic sciences, 1488-5379 ; 3181 Includes bibliographical references. "Species distribution models were performed using a random forest model for Crinoids (Phylum Echinodermata: Class Crinoidea), Ascidians (Phylum Chordata: Class Ascidiacea) and Bryozoans (Phylum Bryozoa) for the spatial extent of DFO’s Placentia Bay-Grand Bank and Newfoundland and Labrador Shelves Large Ocean Management Areas (LOMA). Sixty-six environmental variables derived from various sources and native spatial resolutions were used as predictor variables in the random forest models. Species occurrence was predicted using all presence and absence data (unbalanced model), and equal numbers of presence and absence records (balanced model). The models produced from the unbalanced data were chosen as the better prediction surfaces for all three groups. The unbalanced model appeared to more accurately predict in areas of extrapolation, although none of the models were independently validated. Regression random forest models were employed to predict biomass distribution of the three taxonomic groups, but at best only explained a very small portion of the variation for the Crinoids, and were unreliable for the other groups”--Abstract. Includes abstract in French. gccst Aquatic ecosystems gccst Aquatic wildlife gccst Biomass gccst Modelling Guijarro, J. (Javier) Canada. Department of Fisheries and Oceans. Canadian technical report of fisheries and aquatic sciences, 1488-5379 ; 3181 (CaOODSP)9.504449 PDF 7.06 MB https://publications.gc.ca/collections/collection_2016/mpo-dfo/Fs97-6-3181-eng.pdf