Catch, effort, location (latitude and longitude), and associated biological data from groundfish multi-species longline surveys in the southern portion of the inlets and protected waters east of Vancouver Island, British Columbia. Introduction The Inside South Hard Bottom Longline (HBLL) survey is one of a set of long-term and coordinated surveys that together cover most of the nearshore, hard-bottom habitat of coastal British Columbia. The other surveys are the Inside North HBLL survey, Outside South HBLL survey, and Outside North HBLL survey. The Inside South HBLL survey was first conducted in 2005. Starting in 2009, this survey has been repeated every second year, with the exception that no surveys were conducted in 2017, and the 2020 survey was postponed to 2021 due to the COVID-19 pandemic. The objective of these surveys is to provide fishery-independent abundance indices and associated biological data for the assessment of nearshore rockfishes and other groundfish species that live on untrawlable, hard bottom habitats. The surveys follow a random depth-stratified design and the sampling units are 2 km by 2 km blocks. The surveys use size 13/0 circle hooks, baited with frozen squid. The Inside South HBLL Survey is conducted by Fisheries and Oceans Canada (DFO) and takes place on the Canadian Coast Guard Research Vessel Neocaligus. This survey covers the southern portion of the inlets and protected waters east of Vancouver Island, including Desolation Sound, the Strait of Georgia and southern Gulf Islands in Pacific Fishery Management areas (PFMAs) 14 – 20, 28, and 29. Effort This table contains information about the survey trips and fishing events (sets) that are part of this survey series. Trip-level information includes the year the survey took place, a unique trip identifier, the vessel that conducted the survey and the trip start and end dates (the dates the vessel was away from the dock conducting the survey). Set-level information includes the date, time, location and depth that fishing took place, soak time, hook spacing, and numbers of hooks counted. All successful fishing events are included, regardless of what was caught. Catch This table contains the catch information from successful fishing events. Catches are identified to species or to the lowest taxonomic level possible. From 2005 to 2018, all catches are counted, and most catches are weighed; some catches are too small (“trace” amounts) or too large (e.g. very large Big Skate) to weigh. From 2020 onwards, catches are recorded as counts only. The unique trip identifier and set number are included so that catches can be related to the fishing event information (including capture location). Biology This table contains the available biological data for catches which were sampled. Data may include any or all of length, sex, weight, age. Different length types are measured depending on the species. Age structures are collected when possible for species where validated aging methods exist and are archived until required for an assessment; therefore, all existing structures have not been aged at this time. Tissue samples (usually a fin clip) may be collected for genetic (DNA) analysis for some individuals of particular species. Genetic samples may be archived until required for analysis; for more information please see the data contacts. The unique trip identifier and set number are included so that samples can be related to the fishing event and catch information.

All lake polygons for the province

Concentrations of sea pens, small and large gorgonian corals and sponges on the east coast of Canada have been identified through spatial analysis of research vessel survey by-catch data following an approach used by the Northwest Atlantic Fisheries Organization (NAFO) in the Regulatory Area (NRA) on Flemish Cap and southeast Grand Banks. Kernel density analysis was used to identify high concentrations. These analyses were performed for each of the five biogeographic zones of eastern Canada. The largest sea pen fields were found in the Laurentian Channel as it cuts through the Gulf of St. Lawrence, while large gorgonian coral forests were found in the Eastern Arctic and on the northern Labrador continental slope. Large ball-shaped Geodia spp. sponges were located along the continental slopes north of the Grand Banks, while on the Scotian Shelf a unique population of the large barrel-shaped sponge Vazella pourtalesi was identified. The latitude and longitude marking the positions of all tows which form these and other dense aggregations are provided along with the positions of all tows which captured black coral, a non-aggregating taxon which is long-lived and vulnerable to fishing pressures.

Human activities occurring on land can impact marine coastal ecosystems. Baseline information on the locations and intensity of these activities are critical components of any impact assessment or spatial planning approach seeking to mitigate stress and protect or restore coastal ecosystems. As part of a wider project, land use maps were created for 109 coastal watersheds draining into the Scotian Shelf Bioregion – a biophysical subdivision of Canada’s marine waters in the Maritimes Region of Fisheries and Oceans Canada. Information was compiled from various national and provincial publicly available spatial data sources. Each map provides basic statistics on areal values of different land cover types (such as forested areas, pervious or impervious surfaces, agricultural areas, peatlands, parks and protected areas, wetlands and freshwater bodies), human population density, building locations, and locations of major riverine pour points. This project was funded by Fisheries and Oceans Canada through a Strategic Program for Ecosystem-based Research and Advice (SPERA) grant. Source Guijarro-Sabaniel, J., Kelly, N.E. 2022. Land Use Atlas for Coastal Watersheds in the Maritimes Region. Can. Tech. Rep. Fish. Aquat. Sci. 3494: viii + 135 p. Associated publication Kelly, N.E., Guijarro-Sabaniel, J. and Zimmerman, R., 2021. Anthropogenic nitrogen loading and risk of eutrophication in the coastal zone of Atlantic Canada. Estuarine, Coastal and Shelf Science, 263, p.107630. doi: https://doi.org/10.1016/j.ecss.2021.107630 Cite this data as: Guijarro-Sabaniel, J. Kelly, N.E. Land use atlas for coastal watersheds in the Maritimes Region. Published May 2022. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S.

Species distribution models (SDMs) are tools that combine species observations of occurrence, abundance, or biomass with environmental variables to predict the distribution of a species in unsampled locations. To produce accurate predictions of occurrence, abundance or biomass distribution, a wide range of physical and/or biological variables is desirable. Such data is often collected over limited or irregular spatial scales, and require the application of geospatial techniques to produce continuous environmental surfaces that can be used for modelling at all spatial scales. Here we provide a review of 102 environmental data layers that were compiled for the entire spatial extent of Fisheries and Oceans Canada’s (DFO) Maritimes Region. Variables were obtained from a broad range of physical and biological data sources and spatially interpolated using geostatistical methods. For each variable we document the underlying data distribution, provide relevant diagnostics of the interpolation models and an assessment of model performance, and present the final standard error and interpolation surfaces. These layers have been archived in a common (raster) format at the Bedford Institute of Oceanography to facilitate future use. Based on the diagnostic summaries in this report, a subset of these variables has subsequently been used in species distribution models to predict the distribution of deep-water corals, sponges, and other significant benthic taxa in the Maritimes Region. Cite this data as: Beazley, Lindsay; Guijarro, Javier, Lirette; Camille; Wang, Zeliang; Kenchington, Ellen (2020). Characteristics of Environmental Data Layers for Use in Species Distribution Modelling in the Maritimes Region. Published July 2023. Ocean Ecosystems Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/34a917cb-a0e3-403c-91c7-af3dc20628b1

A Rest Area is a developed roadside area for the use of the traveling public which must contain a washroom, and often has litter receptacles, picnic tables and other facilities. It is a Point feature

Lake sturgeon's presence zones, breeding, feeding and concentration areas according to a literature review of documents produced between 1976 and 2002.Data extracted from the Fish Habitat Management Information System (FHAMIS).

The data layer (.tif) presented are the results of using MaxEnt to produce a single species habitat map for Sea Scallop (Placopecten magellanicus) on German Bank (off South West Nova Scotia, Canada). Presence data derived from videos and still images were compared against environmental variables derived from multibeam bathymetry (Slope, Curvature, Aspect and Bathymetric Position Index (BPI)), and backscatter data (principal components: Q1, Q2, and Q3). Results represent a probability of habitat suitability for Sea Scallop on German Bank. Probability of suitability: The probability that a given habitat is suitable for a species based on presence data and underlying environmental variables (i.e. probability of species occurrence). Reference: Brown, C. J., Sameoto, J. A., & Smith, S. J. (2012). Multiple methods, maps, and management applications: Purpose made seafloor maps in support of ocean management. Journal of Sea Research, 72, 1–13. https://doi.org/10.1016/j.seares.2012.04.009 Cite this data as: Brown, C. J., Sameoto, J. A., & Smith, S. J. Data of: Distribution of Sea Scallop on German Bank. Published: February 2021. Population Ecology Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/2bb98a09-5daf-42c4-94e8-e5de718b821d

Linear coastlines of BC, including mainland and marine islands. Lines are directionalized and connected. Attributes include a hierarchical key and route identifier

Community Energy and Emissions Inventory (CEEI) Supporting Indicators Total 2001 Reporting Year by Regional District