000 02631cam  2200337za 4500
0019.825808
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008161021s2016    oncbd   ob   f000 0 eng d
020 |a978-0-660-06544-1
040 |aCaOODSP|beng
041 |aeng|bfre
043 |an-cn---
0861 |aFs97-6/3181E-PDF
24500|aSpecies distribution modelling of crinoids, bryozoans and ascidians in the Newfoundland and Labrador region |h[electronic resource] / |cby J. Guijarro ... [et al.].
2461 |iTitle at head of French abstract: |aModélisation de la répartition des espèces de crinoïdes, de bryozoaires et d'ascidies dans la région de Terre-Neuve-et-Labrador
260 |a[Ottawa] : |bFisheries and Oceans Canada, |cc2016.
300 |av, 60 p. : |bcol. maps
4901 |aCanadian technical report of fisheries and aquatic sciences, |x1488-5379 ; |v3181
504 |aIncludes bibliographical references.
5203 |a"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.
546 |aIncludes abstract in French.
69207|2gccst|aAquatic ecosystems
69207|2gccst|aAquatic wildlife
69207|2gccst|aBiomass
69207|2gccst|aModelling
7001 |aGuijarro, J.|q(Javier)
7101 |aCanada. |bDepartment of Fisheries and Oceans.
830#0|aCanadian technical report of fisheries and aquatic sciences,|x1488-5379 ; |v3181|w(CaOODSP)9.504449
85640|qPDF|s7.06 MB|uhttps://publications.gc.ca/collections/collection_2016/mpo-dfo/Fs97-6-3181-eng.pdf