Description

Marine classification schemes based on abiotic surrogates often inform regional marine conservation planning in lieu of detailed biological data. However, theses chemes may poorly represent ecologically relevant biological patterns required for effective design and management strategies. We used a community-level modeling approach to characterize and delineate representative mesoscale (tens to thousands of kilometers) assemblages of demersal fish and benthic invertebrates in the North-west Atlantic. Hierarchical clustering of species occurrence data from four regional annual multispecies trawl surveys revealed three to six groupings (predominant assemblage types) in each survey region, broadly associated with geomorphic and oceanographic features. Indicator analyses identified 3–34 emblematic taxa of each assemblage type. Random forest classifications accurately predicted assemblage dis-tributions from environmental covariates (AUC > 0.95) and identified thermal limits (annual minimum and maximum bottom temperatures) as important pre-dictors of distribution in each region. Using forecasted oceanographic conditions for the year 2075 and a regional classification model, we projected assemblage dis-tributions in the southernmost bioregion (Scotian Shelf-Bay of Fundy) under ahigh emissions climate scenario (RCP 8.5). Range expansions to the north eastare projected for assemblages associated with warmer and shallower waters of the Western Scotian Shelf over the 21st century as thermal habitat on the rela-tively cooler Eastern Scotian Shelf becomes more favorable. Community-level modeling provides a biotic-informed approach for identifying broadscale ecolog-ical structure required for the design and management of ecologically coherent, representative, well-connected networks of Marine Protected Areas. When com-bined with oceanographic forecasts, this modeling approach provides a spatial tool for assessing sensitivity and resilience to climate change, which can improve conservation planning, monitoring, and adaptive management. Cite this data as: O'Brien, J.M., Stanley, R.R.E., Jeffery, N.W., Heaslip, S.W., DiBacco, C., and Wang, Z. Demersal fish and benthic invertebrate assemblages in the Northwest Atlantic. Published: December 2024. Coastal Ecosystems Science Division, Maritimes region, Fisheries and Oceans Canada, Dartmouth NS. https://open.canada.ca/data/en/dataset/14d55ea5-b17d-478c-b9ee-6a7c04439d2b

Resources

Name	Format	Description	Link
Demersal fish and benthic invertebrate assemblages in the Northwest Atlantic	Unknown		https://api-proxy.edh-cde.dfo-mpo.gc.ca/catalogue/records/14d55ea5-b17d-478c-b9ee-6a7c04439d2b/attachments/Demersal_Fish_Downloads.gdb.zip
Data Dictionary	CSV		https://api-proxy.edh-cde.dfo-mpo.gc.ca/catalogue/records/14d55ea5-b17d-478c-b9ee-6a7c04439d2b/attachments/ModellingDemersalFishDD.csv
Demersal fish and benthic invertebrate assemblages in the Northwest Atlantic	Ersi REST		https://egisp.dfo-mpo.gc.ca/arcgis/rest/services/open_data_donnees_ouvertes/demersal_fish_nw_atlantic/MapServer
Demersal fish and benthic invertebrate assemblages in the Northwest Atlantic	Ersi REST		https://egisp.dfo-mpo.gc.ca/arcgis/rest/services/open_data_donnees_ouvertes/demersal_fish_nw_atlantic/MapServer
Demersal fish and benthic invertebrate assemblages in the Northwest Atlantic	HTML		https://esajournals.onlinelibrary.wiley.com/doi/epdf/10.1002/eap.2546
Demersal fish and benthic invertebrate assemblages in the Northwest Atlantic	HTML		https://github.com/dfo-mar-mpas/bioclassification

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