Bay of Fundy Benthoscape

Bay of Fundy Benthoscape The data layer (.shp) presented is the result of an unsupervised classification method for classifying seafloor habitat in the Bay of Fundy (Northwest Atlantic, Canada). This method involves separating environmental variables derived from multibeam bathymetry (slope, bathymetric position index), backscatter, and oceanographic information (wave-shear current velocity) into spatial units (i.e. image objects) and classifying the acoustically and oceanographically separated units into 7 habitat classes (Bedrock and Boulders, Mixed Sediments, Gravelly Sand, Sand, Silty Gravel with Anemones, Silt, and Tidal Scoured Mixed Sediments) using in-situ data (imagery). Benthoscape classes (synonymous to landscape classifications in terrestrial ecology) describe the geomorphology and biology of the seafloor and are derived from elements of the seafloor that were acoustically and oceanographically distinguishable. Reference: Wilson, B.R., Brown, C.J., Sameoto, J.A., Lacharite, M., Redden, A. (2021). Mapping seafloor habitats in the Bay of Fundy to assess macrofaunal assemblages associated with Modiolus modiolus beds. Estuarine, Coastal and Shelf Science, 252. https://doi.org/10.1016/j.ecss.2021.107294 Cite this data as: Wilson, B.R., Brown, C.J., Sameoto, J.A., Lacharite, M., Redden, A. Bay of Fundy Benthoscape. Published May 2023. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/dbabd17a-a2c7-4b3f-9bd8-a77a9c7f9c1c 2023-07-11 Fisheries and Oceans Canada Jessica.Sameoto@dfo-mpo.gc.ca Nature and EnvironmentBay of FundyBenthoscapeBenthic HabitatBiophysicalNatural Sciences and Engineering Research Council of CanadaNSERCFisheries and Oceans CanadaOceans Science JournalHTML https://www.sciencedirect.com/science/article/pii/S0272771421001475 Bay of Fundy BenthoscapeESRI REST https://gisp.dfo-mpo.gc.ca/arcgis/rest/services/FGP/Bay_of_Fundy_Benthoscape/MapServer Bay of Fundy BenthoscapeESRI REST https://gisp.dfo-mpo.gc.ca/arcgis/rest/services/FGP/Bay_of_Fundy_Benthoscape/MapServer Bay of Fundy BenthoscapeFGDB/GDB https://pacgis01.dfo-mpo.gc.ca/FGPPublic/Bay_of_Fundy_Benthoscape/Downloads/BoF_Benthoscape.gdb.zip Data DictionaryCSV https://pacgis01.dfo-mpo.gc.ca/FGPPublic/Bay_of_Fundy_Benthoscape/Downloads/BoFBenthoscapeDataDictionary.csv

The data layer (.shp) presented is the result of an unsupervised classification method for classifying seafloor habitat in the Bay of Fundy (Northwest Atlantic, Canada). This method involves separating environmental variables derived from multibeam bathymetry (slope, bathymetric position index), backscatter, and oceanographic information (wave-shear current velocity) into spatial units (i.e. image objects) and classifying the acoustically and oceanographically separated units into 7 habitat classes (Bedrock and Boulders, Mixed Sediments, Gravelly Sand, Sand, Silty Gravel with Anemones, Silt, and Tidal Scoured Mixed Sediments) using in-situ data (imagery). Benthoscape classes (synonymous to landscape classifications in terrestrial ecology) describe the geomorphology and biology of the seafloor and are derived from elements of the seafloor that were acoustically and oceanographically distinguishable.

Reference:

Wilson, B.R., Brown, C.J., Sameoto, J.A., Lacharite, M., Redden, A. (2021). Mapping seafloor habitats in the Bay of Fundy to assess macrofaunal assemblages associated with Modiolus modiolus beds. Estuarine, Coastal and Shelf Science, 252. https://doi.org/10.1016/j.ecss.2021.107294

Cite this data as: Wilson, B.R., Brown, C.J., Sameoto, J.A., Lacharite, M., Redden, A. Bay of Fundy Benthoscape. Published May 2023. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/dbabd17a-a2c7-4b3f-9bd8-a77a9c7f9c1c

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Contact Information

Delivery Point: Bedford Institute of Oceanography, 1 Challenger Drive, PO Box 1006

City: Dartmotuh

Administrative Area: Nova Scotia

Postal Code: B2Y 4A2

Country: Canada

Electronic Mail Address: Jessica.Sameoto@dfo-mpo.gc.ca

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