In 2016-17, DFO Maritimes Region undertook a Marine Protected Area (MPA) network analysis for the Scotian Shelf-Bay of Fundy Bioregion. The analysis considered available bioregional-scale ecological and human use data in an effort to identify a draft MPA network design that would protect biodiversity while minimizing any potential impacts on commercial fishing and other industries. The data layers used for the offshore component of the MPA network analysis are provided here. These layers are not presented in their original forms and were modified (e.g. clipped, reclassified, etc.) specifically for use in the MPA network analysis. They should not be used for any other purpose. Please see Serdynska et al. 2021 for details on how each layer was created.Serdynska, A.R., Pardy, G.S., and King, M.C. 2021. Offshore Ecological and Human Use Information considered in Marine Protected Area Network Design in the Scotian Shelf Bioregion. Can. Tech. Rep. Fish. Aquat. Sci. 3382: xi + 100 p. https://publications.gc.ca/collections/collection_2021/mpo-dfo/Fs97-6-3382-eng.pdfCite this data as: Serdynska, A.R., Pardy, G.S., and King, M.C. Data of: Offshore Ecological and Human Use Information considered in Marine Protected Area Network Design in the Scotian Shelf Bioregion. Published: January 2022. Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/2d9cce9a-d634-4b49-879f-87c40c52acf2

Marine protected areas (MPAs) are one among a number of spatial management tools, and are defined as areas that are established for the long-term, and managed through legal or other effective means, to achieve the long-term conservation of nature with associated ecosystem services and cultural values.Currently, Fisheries and Oceans Canada has a number of MPAs designated under the Oceans Act and Areas of Interest for new MPAs at various stages of progress towards designation. These areas are ecologically significant, with species and/or features that require special management consideration.  An Oceans Act MPA can be established for any of the six conservation purposes outlined in the Act:• The conservation and protection of commercial and non-commercial fishery resources, including marine mammals, and their habitats;  • The conservation and protection of endangered or threatened marine species, and their habitats;  • The conservation and protection of unique habitats;  • The conservation and protection of marine areas of high biodiversity or biological productivity; • The conservation and protection of any other marine resource or habitat as is necessary to fulfill the mandate of the Minister; and• The conservation and protection of marine areas for the purposes of maintaining ecological integrity

Fisheries and Oceans Canada (DFO) has worked with partners and ocean users to develop a draft conservation network plan for the Scotian Shelf-Bay of Fundy Bioregion. This work led to the 2017 draft conservation network plan. The draft plan was updated after targeted consultations from 2021 to 2022. The latest draft reflects new science information on climate change, updated human-use activities (such as fisheries data), and feedback from consultations.This dataset includes the latest existing and proposed conservation sites in the Scotian Shelf-Bay of Fundy Bioregion. Existing sites:-Marine Protected Areas (MPAs)-Marine refuges-Migratory bird sanctuary, National Wildlife area and National Park with marine componentsProposed sites:-Areas of Interest (AOIs) and their lead agency-Tier 1 sites are a higher priority for implementation because of their ecological characteristics and/or feasibility considerations, such as interest from Rightsholders, other levels of government, marine users and stakeholders. Some of these sites could be selected for advancement by 2030. The lead federal agency is specified for most Tier 1 sites.-Tier 2 sites are also important contributions to the conservation network, but will not be considered for advancement by 2030. Most of these sites require more research and information on ecological features and human uses before implementation.Proposed conservation sites:1 Cobequid Bay2 Southern Bight3 Chignecto Bay4 Salmon Rivers5 Bay of Fundy Horse Mussel Aggregations6 Maces Bay7 Deadmans Harbour8 Bocabec Bay – Midjic Bluff9 Oak Bay10 Tongue Shoal11 Pendleton – Little L’Etete Passage12 Simpsons Island – White Horse Island13 Head Harbour Passage14 Western Passage North15 Western Passage South16 South Campobello17 The Wolves – Wolves Bank18 Northwest Grand Manan19 Long Island Bay – Great Duck Island20 North of Nantucket Island21 Grand Harbour22 Seal Cove – Long Pond Bay23 Southern Head24 Three Islands25 Old Proprietor Shoal – The Prong26 Brier Island27 Lurcher Shoal28 Chebogue29 Eel Bay30 McNutts Island31 Pemsɨk32 LaHave Islands33 Sambro Ledges – Prospect34 Martinique Beach and Musquodoboit Harbour35 St. Mary’s (Napu’saqnuk) River and Estuary36 Country Island37 Canso Ledges – Sugar Harbour Islands38 MacNamaras Island39 Fleur-de-Lis Coast40 Bird Islands41 Ingonish Bays42 Aspy Bay43 Bras d’Or Lake44 Southwest Bank45 Western Jordan Basin46 Georges Bank47 LaHave Basin48 Scotian Gulf49 Central Scotian Slope, Rise and Abyss50 Emerald Basin Extension51 Inner Shelf Sea Pen Field52 Sable Island Bank North53 Sable Island Bank South54 Logan Canyon55 Canso Bank and Channels56 Misaine Bank and Laurentian Channel57 Eastern Shoal58 Cold SeepsBoundaries are preliminary and subject to change following public consultation.

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

The spatial planning framework for Canada's national network of Marine Protected Areas (MPAs) is comprised of 13 ecologically defined bioregions that cover Canada's oceans and the Great Lakes. Note that the geographic boundaries for the bioregions are fuzzy and may change based on ecosystemic conditions.Detailed descriptions and discussions on the federal network of marine bioregions can be found in: - DFO. 2009. Development of a Framework and Principles for the Biogeographic Classification of Canadian Marine Areas. DFO Can. Sci. Advis. Sec. Sci. Advis. Rep. 2009/056 (http://www.dfo-mpo.gc.ca/csas-sccs/publications/sar-as/2009/2009_056-eng.htm);- DFO. 2010. Proceedings of a National Science Advisory Process to Provide Guidance on the Development of a Framework and Principles for the Biogeographic Classification of Canadian Marine Areas; 15-16 June 2009. DFO Can. Sci. Advis. Sec. Proceed. Ser. 2009/039. (http://www.dfo-mpo.gc.ca/csas-sccs/publications/pro-cr/2009/2009_039-eng.htm); and - National Framework for Canada's Network of Marine Protected Areas (http://www.dfo-mpo.gc.ca/oceans/publications/mpanf-cnzpm/page01-eng.html).

Marine Protected Areas require comprehensive monitoring to ensure objectives are achieved; however, monitoring natural ecosystems at scale is challenged by the biodiversity it aims to measure. Environmental DNA (eDNA) metabarcoding holds promise to address this monitoring challenge. We conducted paired sampling at 54 sites for fish and invertebrate assemblages in the Northwest Atlantic using groundfish trawls and eDNA metabarcoding of benthic seawater using four genetic markers (12S rRNA, 16S rRNA, 18S rRNA, and CO1). Compared to trawling, eDNA detected similar patterns of species turnover, larger estimates of gamma diversity, and smaller estimates of alpha diversity. A total of 63.6% (42/66) of fish species captured by trawling were detected by eDNA, along with an additional 26 species. Of the 24 missed detections by eDNA, 12 were inevitable as they lacked reference sequences. Excluding taxa assigned to higher than species level and those without a species name, 23.6% (17/72) of invertebrate species captured by trawling were detected by CO1, which detected an additional 98 species. We demonstrate that eDNA is capable of detecting patterns of community assemblage and species turnover in an offshore environment, emphasizing its strong potential for a non-invasive, comprehensive, and scalable tool for biodiversity monitoring supporting marine conservation programmes.Cite this data as: Jeffery, N., Rubidge, E., Abbott, C., Westfall, K., Stanley, R. (2024): Data of: eDNA metabarcoding enriches traditional trawl survey data for monitoring biodiversity in the marine environment.Published: August 2024. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/43a91ba7-8025-4330-88db-db14022d729d

We evaluated an autonomous environmental DNA sampler produced by Dartmouth Ocean Technologies Inc (Dartmouth, Canada) compared to time-at-sample filtration in the laboratory to determine the performance of moored samplers for monitoring in the marine world. We deployed three autonomous samplers from DOT in the Bedford Basin (Canada) over a nine-week period in summer/fall 2023. The samplers filtered seawater in situ at programmed interviews over this time period, and we collected contemporaneous samples with a standard vacuum pump during each sampling period. Both eDNA sample types captured similar fish diversity, including typical diversity for the Northwest Atlantic. The invertebrate community detected using the COI marker was different between each sample type, likely due to differences in filter pore size. We found biofouling on the moored samplers was minimal over the study period, even in a high-traffic area such as the Bedford Basin, likely due to the relatively short experimental period, and copper screening covering in the inlet and outlet valves of the instruments. Overall, our results show promise to deploy autonomous eDNA samplers in marine conservation areas to contribute to monitoring in the temperate ocean, but further testing over longer periods of time is needed to determine if DNA remains well-preserved in the autonomous samplers at ambient ocean temperatures.Cite this data as: Jeffery, N.W., Van Wyngaarden, M., and Stanley, R.R.E. Evaluating an Autonomous eDNA Sampler for Marine Environmental Monitoring: Short- and Long-Term Applications. Published: December 2024. Coastal Ecosystems Science Division, Maritimes Region, Fisheries and Oceans Canada, Dartmouth NS.

Pelagic Marine Ecounits are intended to describe the sea surface and water column. Two variables were selected to derive pelagic ecounits:1. Salinity and 2. Stratification. The British Columbia Marine Ecological Classification (BCMEC) is a hierarchical classification that delineates Provincial marine areas into Ecozones, Ecoprovinces, Ecoregions and Ecosections. The classification was developed from previous Federal and Provincial marine ecological classifications which were based on 1:2,000,000 scale information. The BCMEC has been developed for marine and coastal planning, resource management and a Provincial marine protected areas strategy. A new, smaller level of classification termed ecounits developed using 1:250,000 scale depth, current, exposure, subsurface relief and substrate was created to verify the larger ecosections, and to delineate their boundaries. CRIMS is a legacy dataset of BC coastal resource data that was acquired in a systematic and synoptic manner from 1979 and was intermittently updated throughout the years. Resource information was collected in nine study areas using a peer-reviewed provincial Resource Information Standards Committee consisting of DFO Fishery Officers, First Nations, and other subject matter experts. There are currently no plans to update this legacy data.

Marine Ecosection classification for coastal and offshore British Columbia. The Marine Ecosections are: Johnstone Strait; Continental Slope; Dixon Entrance; Hecate Strait; Queen Charlotte Strait; Juan de Fuca Strait; North Coast Fjords; Queen Charlotte Sound; Strait of Georgia; Subarctic Pacific; Transitional Pacific; and Vancouver Island Shelf. The British Columbia Marine Ecological Classification (BCMEC) is a hierarchical classification that delineates Provincial marine areas into Ecozones, Ecoprovinces, Ecoregions and Ecosections. The classification was developed from previous Federal and Provincial marine ecological classifications which were based on 1:2,000,000 scale information. The BCMEC has been developed for marine and coastal planning, resource management and a Provincial marine protected areas strategy. A new, smaller level of classification termed ecounits developed using 1:250,000 scale depth, current, exposure, subsurface relief and substrate was created to verify the larger ecosections, and to delineate their boundaries. CRIMS is a legacy dataset of BC coastal resource data that was acquired in a systematic and synoptic manner from 1979 and was intermittently updated throughout the years. Resource information was collected in nine study areas using a peer-reviewed provincial Resource Information Standards Committee consisting of DFO Fishery Officers, First Nations, and other subject matter experts. There are currently no plans to update this legacy data.

Includes: * National Parks * National Marine Conservation Areas * heritage canals * National Wildlife Areas * Other Federal Protected areas This dataset is provided by the federal government, and may not include all Federal protected lands.