Records of marine mammal sightings (N = 5,324) collected by ASOs and submitted to Fisheries and Oceans Canada (DFO) between 1979-2024, across three DFO regions: the Arctic, Newfoundland and Labrador, and the Maritimes. Methods for initial data compilation are provided in the associated technical report "Marine mammal records collected by the at-sea observer (ASO) program in Arctic, Newfoundland and Labrador, and Maritimes regions: a summary of challenges and opportunities for future research." Cite this data as: Feyrer, L.J., Colbourne, N., Lawson, J.W., Moors-Murphy, H.B., Ferguson, S. Dataset update to Marine mammal records collected by the At-Sea Observer program in Arctic, Newfoundland and Labrador and Maritimes regions. Published: February 2025. Ocean Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S.

In 2009, DFO defined 12 marine bioregions across the three oceans bordering Canada to support its marine planning efforts, such as the establishment of networks of marine protected areas. However, these bioregions cover vast areas and exhibit significant ecological heterogeneity, especially along the coasts. Yet, this heterogeneity in coastal ecosystems often needs to be considered at the local scale, particularly for management and conservation purposes.The objective of this exercise is to subdivide the Estuary and Gulf of St. Lawrence (EGSL) bioregion for the province of Quebec into coastal sub-bioregions to better reflect local and regional coastal characteristics. The coastal classification presented in this report is based on the integration of four existing classification systems for the EGSL, which were not specifically designed for classifying coastal ecosystems. Integrating these classification systems into a single approach allowed us to define 13 coastal sub-bioregions for the EGSL. Data presented here are the limit of the 13 ecoregions made from this work. A technical report is available for more details. See supporting documents:Gendreau, Y., Narancic, B. et Bourassa, M-N. 2025. Classification écologique du territoire côtier de l’estuaire et du golfe du Saint-Laurent au Québec. Rapp. tech. can. sci. halieut. aquat. 0000 :v + 22p.

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

This cartographic dataset represents a geomorphological update of the boundaries of the five inland water bodies that form the Magdalen Islands Marine Refuge. It was produced by Fisheries and Oceans Canada (DFO) as part of its marine refuge characterization work.The data used comes from the August 15, 2022 version of the Quebec maritime Geospatial Database of Coastal Ecosystems (GDB), developed from various sources including satellite and airborne images from 2019 (Jobin et al. 2021; Provencher-Nolet et al. 2024). The boundaries of the inland water bodies were defined according to the upper high tide line, which represents the maximum extent of the water during the highest tides.The final product is a polygonal shapefile representing the five inland water bodies of the marine refuge as well as the terrestrial areas of the archipelago. The data are projected in NAD83 / MTM zone 4.For more information on the method used to generate this layer from the GDB, see Grégoire et al. (2026). The method used to create the source geospatial data is described in Jobin et al. (2021) and Provencher-Nolet et al. (2024).

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.

This dataset provides refined monthly climatological projections for six key ocean variables: surface and bottom temperature, surface and bottom salinity, mixed layer depth, and bottom current speed. The projections are provided for six Maritime Marine Protected Areas: the Gully, the Laurentian Channel, St. Anns Bank, Musquash Estuary, Banc-des-Américains, and Basin Head. These projections are based on downscaled outputs from 22 CMIP6 models under four emissions scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5) for four 20-year periods spanning 2020 to 2099 (2020–2039, 2040–2059, 2060–2079, and 2080–2099).For each model and scenario, 20-year climatological means were computed for each future period. These climatologies were then aggregated to produce ensemble means and ensemble standard deviations for all variables. The released dataset includes only these ensemble summary fields and is provided as gridded data with dimensions longitude × latitude × scenario × time.Cite this data as: Wang., Z. Data of High-resolution climate projection data for Marine Protected Areas in the Maritimes. Published: May 2026. Ocean Ecosystems Science Division, Maritimes Region, Fisheries and Oceans Canada, Dartmouth NS. https://open.canada.ca/data/en/dataset/fb4b3212-bca3-4192-8401-687faccc534b

As part of the Musquash Marine Protected Area (MPA) Monitoring Plan, this project was implemented to establish a baseline for infaunal biodiversity for this area. Data collection began in 2010 and contributed monitoring information for productivity, biodiversity, and habitat indicators within the Musquash Harbour. A 1500 cubic centimetre ponar benthic grab was deployed at 30 random stations distributed over three strata (channel, intertidal and subtidal). Samples were to be collected up to three times per year to account for seasonality and annual variation. Once collected the benthic samples were analyzed for changes in grain size, carbon content (Loss on ignition), species abundance/diversity and biomass.Cite this data as: Cooper, J.A., and Blanchard, M. Musquash Benthic Infauna. Published in September 2023. Coastal Ecosystem Science Division, Fisheries and Oceans Canada, St. Andrews, NB.For additional information please see:Cooper, A., Abbott, M., Allard, K., Chang,, B., Courtenay, S., Doherty, P., Greenlaw, M., Ipsen, E., Koropatnick, T., Law, B., Losier, R., Martin, J., Methven, D., and Page, F. 2014. Musquash Estuary Marine Protected Area (MPA): Data Assessment. DFO Can. Sci. Advis. Sec. Res. Doc. 2014/001. v + 57 p.Cooper, J.A., Jones, O. and Blanchard, M. 2023. Review of Baseline Monitoring within the Musquash Estuary Marine Protected Area. DFO Can. Sci. Advis. Sec. Res. Doc. 2023/028. viii + 56 p.Oceans and Coastal Management Division (OCMD). 2015. Musquash Estuary Marine Protected Area Ecosystem Monitoring Plan (2014-2019). Can. Manuscr. Rep. Fish Aquat. Sci. 3077: v+17 pp.DFO. 2022. 2021 Review of Musquash Marine Protected Area Monitoring. DFO Can. Sci. Advis. Sec. Sci. Advis. Rep. 2022/016.

Fisheries and Oceans Canada (DFO) conducts research and undertakes monitoring surveys of the marine and freshwater environment in support of sustainable fisheries, healthy aquatic ecosystems and living resources, and safe and effective marine services. In an effort to effectively inform and ensure Canadians feel engaged in the delivery of its science mandate, DFO produces Fieldnotes, an annual compendium of planned science field operations in the North Pacific and Arctic oceans, as well as in the coastal and interior waters of British Columbia and Yukon.

Monitoring programs are an important component of Marine Protected Area (MPA) management, providing requisite information on the state of, and changes in, protected ecosystems. Monitoring is required to gauge the efficacy of MPAs towards their conservation objectives and provides information needed to evaluate the benefits provided to biodiversity from restricted access. However, in Nova Scotia’s coastal zone, there is a lack of baseline data, including fish diversity and community structure in macrophyte beds, which makes monitoring intractable. In 2017, the Eastern Shore Islands was identified as a coastal Area of Interest (AOI) for the potential establishment of an MPA. In 2018 an overview was conducted, detailing the spatial and temporal ecological attributes of the AOI. This information revealed a unique coastal ecosystem associated with a dense archipelago and relatively natural seascape. The abundance of plant and algal biogenic habitats within the area was assumed to host a diversity of juvenile fish species. The primary objective of this project is to begin development of a long-term biodiversity monitoring program in the Eastern Shore Islands and other coastal Areas of Interest for conservation planning. We propose implementing this program with the use of direct (beach seines, scuba diving, and stable isotope sampling) and indirect (environmental DNA - eDNA) sampling. Environmental DNA (eDNA) is a useful tool to examine marine biodiversity in a non-invasive way, on a small spatial scale. eDNA can be easily collected and filtered and is becoming increasingly cost efficient to sequence and may be a useful marine protected area monitoring tool. While eDNA generally yields comparable results to traditional sampling techniques in terms of biodiversity captured, little is known on how eDNA signals fluctuate across years (or even days to weeks). We will compare species detections using eDNA metabarcoding to visual surveys (scuba and seine nets) to census eelgrass beds across the coastal zone, providing a baseline and time series of species diversity on which to base long-term monitoring. This project will generate inventories of eelgrass bed locations, and fish and invertebrate diversity within eelgrass beds. We additionally collect fish length distribution data to examine seasonal and inter-annual trends in size structure over time. The data generated from direct and indirect sampling will provide a comprehensive and ongoing catalog of species diversity and community structure in coastal eelgrass beds, as well as best-practices for sampling eDNA in the coastal environment.Cite this data as: Jeffery, N.W., Pettitt-Wade, H., Van Wyngaarden, M., and Stanley, R.R.E. Maritimes Coastal Biodiversity Monitoring Program – Beach Seining.Published: December 2023. Coastal Ecosystems Science Division, Maritimes region, Fisheries and Oceans Canada, Dartmouth NS. https://open.canada.ca/data/en/dataset/dbbcb23a-d018-4b70-b8ec-89997aded770