Species Distribution Modelling of Corals and Sponges in the Eastern Arctic for Use in the Identification of Significant Benthic Areas

• Main Author: Lirette, Camille
• Other Authors: Beazley, Lindsay, Murillo, Javier, Kenchington, Ellen, Guijarro-Sabaniel, Javier, Siferd, Tim, Treble, Margaret, Baker, Emily, Bouchard Marmen, Marieve, Tompkins-MacDonald, Gabrielle, Lindsay Beazley
• Format: Dataset
• Language: unknown
• Published: Mendeley 2019
• Subjects: Benthic Ecology; Modelling; Interdisciplinary sciences; envir; geo; Arctic; Baffin Bay; Hudson; Hudson Bay; Hudson Strait; Baffin; Davis Strait; northern shrimp
• Online Access: https://doi.org/10.17632/mcb726kcbx.1; https://doi.org/10.17632/MCB726KCBX

Species distribution modelling using a random forest (RF) machine learning approach was used to predict the probability of occurrence and biomass of sponges, sea pens, and large and small gorgonian corals in the Hudson Strait portion of Fisheries and Oceans, Canada's (DFO) Hudson Bay Complex Bi...