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snippet: This dataset represents the presence and absence of large gorgonian corals recorded in DFO multispecies trawl surveys conducted between 2002 and 2015 and in situ benthic imagery between 1967 and 2011 in the Maritimes Region. One trawl gear type was used: Western IIA. Absence records were created from null (zero) catches that occurred in the same surveys. The presence and absence data were filtered to include only 1 data point per environmental data raster grid cell (~1 km), and presence records took precedence over an absence record when both occurred within the same raster cell. Presence-absence random forest model (Model 3-Addition of In situ Benthic Imagery Observations) was generated on the combined dataset consisting of 227 presences and 2313 absences.
summary: This dataset represents the presence and absence of large gorgonian corals recorded in DFO multispecies trawl surveys conducted between 2002 and 2015 and in situ benthic imagery between 1967 and 2011 in the Maritimes Region. One trawl gear type was used: Western IIA. Absence records were created from null (zero) catches that occurred in the same surveys. The presence and absence data were filtered to include only 1 data point per environmental data raster grid cell (~1 km), and presence records took precedence over an absence record when both occurred within the same raster cell. Presence-absence random forest model (Model 3-Addition of In situ Benthic Imagery Observations) was generated on the combined dataset consisting of 227 presences and 2313 absences.
accessInformation: Fisheries and Oceans Canada, Bedford Institute of Oceanography, P.O. Box 1006, Dartmouth, NS, Canada B2Y 4A2
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maxScale: 5000
typeKeywords: []
description: <DIV STYLE="text-align:Left;"><P><SPAN>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, large and small gorgonians and Vazella pourtalesi in the Maritimes Region. A suite of 66 environmental predictor variables from different data sources were used. Models utilized catch records from the DFO multispecies trawl and scallop stock assessment surveys and in situ benthic imagery observations. Most presence-absence models had good predictive capacity with cross-validated Area Under the Receiver Operating Characteristic Curve (AUC) values ranging from 0.760 to 0.949. These models were used in a Canadian Science Advisory Secretariat (CSAS) process to delineate significant areas of cold-water corals and sponges in the Maritimes Region.</SPAN></P><P><SPAN /></P></DIV>
licenseInfo: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Please refer to the Open Government Licence - Canada</SPAN></P><P><A href="http://open.canada.ca/en/open-government-licence-canada"><SPAN>http://open.canada.ca/en/open-government-licence-canada</SPAN></A></P><P><SPAN /></P></DIV></DIV></DIV>
catalogPath:
title: MA_LargeGorgonians_P_A
type:
url:
tags: ["Presence and Absence Data","Scotian Shelf","Maritimes Region","Large Gorgonian Coral","Western IIA","In Situ Benthic Imagery","Deep-Sea Coral."]
culture: en-CA
name:
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minScale: 625000
spatialReference: