This data set is a generalized characterization of the offshore and inshore environments of Canada’s Pacific Ocean. Compiled from various sources to depict the biogenic habitats, pelagic habitats, and general bottom types such as offshore and inshore by depth strata.

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

This project was completed by the Coastal Environmental Baseline Program (Coastal and Freshwater Ecology Section) in the Newfoundland and Labrador Science Branch of Fisheries and Oceans Canada (DFO). The nearshore fish and invertebrate community was sampled annually in Placentia Bay at 14 sites for 5 years (2018 – 2022). The objective of this program was to collect data on juvenile fish (specifically Atlantic cod) communities and habitats within Placentia Bay. The sites and timing (October) were selected based on historical sampling. There were several data types collected during each of these sampling trips. Boat-based beach seining was used to collect data on fish and invertebrate diversity, abundance, distribution, and size. Visual transects were used to identify vegetation and substrate (habitat) types and proportions at seine sites. CTD profiles (temperature, conductivity, depth, and salinity) were obtained using a castaway CTD. Finally, eDNA samples were collected at each site (2018-2021) to obtain complementary information on the presence of juvenile fish and other species present. This record contains the geographic locations of the 14 sites, and information on the timing and type of data collected at each site.

Layer that includes the known information on coastal presence for lumpfish in the St. Lawrence River and Estuary according to a literature review of documents produced between 1987 and 1999.Additional InformationLumpfish's coastal presence was produced according to a literature review of the following documents:Association Québécoise des Techniciens(nes) en Aménagement Cynégétique et Halieutique (AQTACH). 1987. Suivi des captures de cinq pêches à fascines de la rive nord du Saint-Laurent. Document présenté au ministère du Loisir, de la Chasse et de la Pêche – Direction régionale de la Côte-Nord. 50 p.Bérubé, S. Lambert, J.-D. 1999. Communautés ichtyennes côtières de l'estuaire du Saint-Laurent en 1996 et 1997 : suite du suivi ichtyologique (1986-1995). Rapp. tech. can. sci. halieut. aquat., 2281, 62 p.Naturam Environnement. 1997. Acquisition de connaissances et mise en valeur des habitats du poisson du complexe Baie Verte/Baie Laval, phase 3 : rapport final. Document réalisé par la Corporation de développpement de la Baie Verte avec l'aide du MPO dans le cadre du Plan d'action pour l'habitat du poisson.

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.

Available information for the Estuary and Gulf of St. Lawrence on salinity, temperature, dissolved oxygen, depth, slope, and variability in landscape and sediments, were aggregated using a grid made up of 100 km2 cells as a basis for mapping and describing marine habitats for conservation and integrated management purposes.For example, 26 variables were selected to describe depth, slope, salinity and temperature. Based on that information, cluster analyses were conducted grouping cells into 13 different megahabitats. Four megahabitats described the deep waters, and areas outside channels formed 9 megahabitats: four in the southern Gulf and five in the northern Gulf.PurposeThe tool proposes a novel way of making validated and integrated data available to end users. Potential applications include the screening of areas considered for inclusion in a network of protected areas and a quantitative assessment of surface areas for each class of habitat. The method can also be applied to describe the habitats of species at risk.Additional InformationSee the report mentioned below for a more detailed description of the treatments for each variable:Dutil, J.-D., Proulx, S., Chouinard, P.-M., and Borcard. D. 2011. A hierarchical classification of the seabed based on physiographic and oceanographic features in the St. Lawrence. Can. Tech. Rep. Fish. Aquat. Sci. 2916: vii + 72 p.

The Coastal Environmental Baseline Program is a multi-year Fisheries and Oceans Canada initiative designed to work with Indigenous and local communities and other key parties to collect coastal environmental data at a series of sites across Canada, to build a better understanding of existing marine ecological conditions. The program began data collection in 2019, and with the onset of Phase 2 in 2023, the Maritimes region study area was expanded and renamed ‘Northwest Fundy Shores’. A physical oceanography program was designed to align with the oceanographic interests and data needs of local interest holders. Starting in 2023, oceanographic parameters including water temperature, salinity, depth and turbidity have been monitored at a series of locations in Passamaquoddy Bay, the St. Croix River, and along the Bay of Fundy coast, including the Musquash estuary Marine Protected Area (MPA). This dataset includes seasonal CTD (conductivity, temperature and depth) and turbidity data starting in spring 2023. Instruments are maintained through the winter months at a limited number of sites. Data collection methods are primarily moored instruments on the bottom in water depths of 5-90 meters, and a few buoyant surface floats. Overall, this dataset captures seasonal dynamics in near-shore marine environments in Passamaquoddy Bay, the St Croix River, the Bay of Fundy and the Musquash MPA. Cite this data as: Coastal Environmental Baseline Program (Maritimes Region), Northwest Fundy Shores conductivity, temperature and depth data. Published in May 2025. Coastal Environmental Baseline Program. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, St. Andrews, N.B. 14-02-2025

The distribution of unspecified waterfowl habitat in coastal British Columbia showing relative abundance (RA) by season and overall relative importance (RI). RI is based on project region and not on the province as a whole. 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.

Fish holding areas (i.e. areas of concentration of salmon and herring, both adult and juvenile) in coastal British Columbia. Attribute information includes overall relative importance, species of salmon and other fish observed at various times throughout the year as well as information on spawning activity and larvae. 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.

Points, polylines and polygons where species and features have been found, harvested or detailed.Community Based Coastal Resource Inventory (CCRI) – Fisheries and Oceans Canada in conjunction with several Federal and Provincial agencies created, implemented, and managed a program which set out to develop a coastal resource inventory based on the traditional knowledge of local residents. Through partnerships with the province of Newfoundland and Labrador’s Regional Economic Development (RED) Boards and other community based groups the project assembled a database containing several decade’s worth of local knowledge. The value of the information collected came through individual interviews with people who had extensive knowledge of the immediate geography and resource, having lived, worked and harvested the regions over a lifetime. This project ran from 1996 to 2007.