Monitor variations in seabird numbers and colony size in the St. Lawrence system. Survey of over 20 species of seabirds and herons during the breeding season, in order to monitor population dynamics through time and space. Seabird populations are influenced by food abundance and quality. There is actually more than 1,000,000 birds from more than 20 different species that breed in nearly 1,000 active colonies. Plongeon du Pacifique/Pacific Loon/Gavia Pacifica, Plongeon catmarin/Red-throated Loon/Gavia stellata, Macareux moine/Atlantic Puffin/Fratercula arctica, Guillemot à miroir/Black Guillemot/Cepphus grylle, Guillemot marmette/Common Murre/Uria aalge, Guillemot de Brünnich/Thick-billed Murre/Uria lomvia, Petit Pingouin/Razorbill/Alca torda, Mouette tridactyle/Black-legged Kittiwake/Rissa tridactyla, Goéland marin/Great Black-backed Gull/Larus marinus, Goéland argenté/Herring Gull/Larus argentatus, Goéland à bec cerclé/Ring-billed Gull/Larus delawarensis, Mouette rieuse/Common Black-headed Gull/Larus ridibundus, Sterne caspienne/Caspian Tern/Sterna caspia, Sterne pierregarin/Common Tern/Sterna hirundo, Sterne arctique/ArcticTern/Sterna paradisaea, Sterne de Dougall/Roseate Tern/Sterna dougallii, Océanite cul-blanc/Leach's Storm-Petrel/Oceanodroma leucorhoa, Fou de Bassan/Northern Gannet/Morus bassanus, Grand Cormoran/Great Cormorant/Phalacrocorax carbo, Cormoran à aigrettes/Double-crested Cormorant/Phalacrocorax auritus, Eider à duvet/Common Eider/Somateria mollissima, Grand Héron/Great Blue Heron/Ardea herodias, Bihoreau gris/Black-crowned Night-Heron/Nycticorax nycticorax.

This collection of data summarizes the companies and facilities reporting under the Fuels Information Regulations, No. 1. This dataset includes total fuel volumes, sulphur contents and masses, and companies reporting production and/or importation of liquid fuels originating from crude oils, coal or bituminous sand. The information was provided to Environment and Climate Change Canada under the Canadian Environmental Protection Act, 1999.

With the changing climate conditions, marine traffic along Canada’s coastal regions has increased over the past couple of decades and the need to improve our state of preparedness for oil-spill-related emergencies is critical. Baseline coastal information, such as shoreline form, substrate, and vegetation type, is required for prioritizing operations, coordinating onsite spill response activities (i.e. Shoreline Cleanup Assessment Technique [SCAT]), and providing information for wildlife and ecosystem management. Between 2010 and 2017, georeferenced high-definition videography and photos were collected for various study sites across coastal Canada. The study areas include Beaufort Sea, Mackenzie Delta channels and Banks Island in the western Canadian Arctic; James Bay, Hudson Bay, Nunavik, Resolute Bay, Victoria Strait, Baffin Island and Coronation Gulf in the eastern Canadian Arctic; Labrador, Bay of Fundy and Chedabucto Bay in Atlantic Canada and Kitimat, Haida Gwaii and Burrard Inlet in the northern Pacific. Data was collected during ice-free and low tide conditions (where applicable) between July and September. Low-altitude helicopter surveys were conducted at each study site to capture video of the shoreline characteristics. In addition to acquiring videography, ground-based observations were recorded in several locations for validation. Shoreline segmentation was then carried out by manual interpretation of the oblique videography and the photos aided by ancillary data. This involved splitting and classifying the shoreline vectors based on homogeneity of the upper intertidal zone. Detailed geomorphological information (i.e. shoreline type, substrate, slope, height, accessibility etc.) describing the upper intertidal, lower intertidal, supratidal and backshore zones was extracted from the video and entered into a geospatial database using a customized data collection form. In addition, biological characteristics like biobands, water features, fauna, human use etc. observed along the coast were recorded. The data was also validated through ground samples (when available) and a second interpreter QA (quality analysis) was performed on each dataset (excluding Nunavik) to ensure high quality and consistency. The final dataset contains segments ranging in length from 150 metres to 2500 metres. In total, from 2010 to 2017, within the 14 study sites, about 26,150 km of shoreline were mapped.

This database contains detailed information on various sorbents (materials used to absorb chemicals) with a particular emphasis on the compunds abilities to absorb oil from tanker spills.

This dataset provides geospatial polygon boundaries for marine bivalve shellfish harvest area classification in Newfoundland and Labrador, Canada. These data represent the five classification categories of marine bivalve shellfish harvest areas (Approved; Conditionally Approved; Restricted; Conditionally Restricted; and Prohibited) under the Canadian Shellfish Sanitation Program (CSSP). Data are collected by Environment and Climate Change Canada (ECCC) for the purpose of making applicable classification recommendations on the basis of sanitary and water quality survey results. ECCC recommendations are reviewed and adopted by Regional Interdepartmental Shellfish Committees prior to regulatory implementation by Fisheries and Oceans Canada (DFO). These geographic data are for illustrative purposes only; they show shellfish harvest area classifications when in Open Status. The classification may be superseded at any time by regulatory orders issued by DFO, which place areas in Closed Status, due to conditions such as sewage overflows or elevated biotoxin levels. For further information about the current status and boundary coordinates for areas under Prohibition Order, please contact your local DFO office.

The Homogenized Surface Pressure data consist of monthly, seasonal and annual means of hourly sea level and station pressure (hectopascals) for 626 locations in Canada. Homogenized climate data incorporate adjustments (derived from statistical procedures) to the original station data to account for discontinuities from non-climatic factors, such as instrument changes or station relocation. The time periods of the data vary by location, with the oldest data available from 1953 at some stations to the most recent update in 2014. Data availability over most of the Canadian Arctic is restricted to 1953 to present. The data will continue to be updated every few years (as time permits).

Precipitation measurements in the Environment and Climate Change Canada (ECCC) surface network are a necessary component for monitoring weather and climate and are required for flood and water resource forecasting, numerical weather prediction and many other applications that impact the health and safety of Canadians. Beginning in the late 1990s, the ECCC surface network began a transition from manual to automated precipitation measurements. Advantages to increased automation include enhanced capabilities for monitoring in remote locations and higher observation frequency at lower cost. However, transition to automated precipitation gauges has resulted in new challenges to data quality, accuracy, and homogenization. Automated weighing precipitation gauges used in the ECCC operational network, because of their physical profile, tend to measure less precipitation falling as snow because lighter particles (snow) are deflected away from the collector by the wind flow around the gauge orifice. This phenomenon of wind-induced systematic bias is well documented in the literature. The observation requires an adjustment depending on gauge and shield configuration, precipitation phase, temperature, and wind speed. Hourly precipitation, wind speed, and temperature for 397 ECCC automated surface weather stations were retrieved from the ECCC national archive. Climate Research Division (CRD) selected this sub-set of stations because they are critical to the continuity of various climate analysis. The observation period varies by station with the earliest data series beginning in 2001 (with most beginning in 2004). The precipitation data was quality controlled using established techniques to identify and flag outliers, remove spurious observations, and correct for previously identified filtering errors. The resulting hourly precipitation data was adjusted for wind bias using the WMO Solid Precipitation Inter-Comparison Experiment (SPICE) Universal Transfer Function (UTF) equation. A full description of this data set, including the station locations, data format, methodology, and references are included in the repository.

Wild fish community data (species, abundance, diversity, length, weight) for 2013 and 2019 are now available for tributaries of the Athabasca River (rivers Steepbank, Ells, Firebag, High Hills, Dunkirk, Horse, Muskeg, Tar and Calumet) and 2017 data for rivers and creeks adjacent to Christina Lake (Christina River, Sunday Creek, Birch Creek, Sawbones Creek, Jackfish Creek and Unnamed Creek). The composition and diversity of the fish communities in these waterbodies have been evaluated over time to identify changes in the presence and abundance of fish species in these waterbodies adjacent to SAGD oil sands mining activity and at sites that are outside of the Athabasca Oil Sands deposit and not influenced by mining activities. Not all waterbodies are adjacent to mining activities and these provide some information as to the natural variability and stability of these fish communities over time. This involved establishing baseline conditions in fish communities in the fall of 2013, 2017 and 2019. This baseline data has assisted in tracking changes in fish communities of these waterbodies over time. Fish community assessments (non-lethal sampling) were carried out in a reach of river using a Smith-Root 12B backpack, Smith-Root LR-24 backpack and or seine at the sites identified in Section 2.3. Length, weight, species identification, and external assessment were performed on fish collected. Fish were then returned to the water at the site of capture. This fish community assessment work commenced September 17th to 27th, 2013, October 3rd to 8th, 2017 and September 24th to October 2nd, 2019. This monitoring activity compliments and supports the Wild Fish Health program.

The river bed sediments in the Lower Athabasca are known to shift and migrate downstream. Numerical modelling of water quantity and quality (including sediments) requires accurate river channel cross-sectional geometry within the area of study. Such cross-sectional geometry prior to 2012 was limited for the Lower Athabasca River restricting modelling accuracy and efficiency. As such, in order to better understand the bed sediment dynamics of the lower Athabasca River and to support model development (e.g., calibration/validation of sediment/bitumen erosion/transport/deposition), high resolution swath bathymetry data were collected form bank to bank during open water seasons (2012-2014) covering approximately 115 km from Fort McMurray to the mouth of the Firebag River. Data are presented in 2km stretches of the river and are represented by 1) a kmz file which gives a visual representation of the coverage of the file, and 2) a detailed grid file which contains the full x,y,z coordinates at 0.5m resolution. While very useful for modelling, it should be realized that given the continually changing form of the lower Athabasca bed geometry, the data provided is a “snap shot in time” and is not reflective of the current condition. Further, and as related, this information is not for navigation purposes.

Wild fish health data (length, weight, gonad size, etc.) are now available for trout perch collected from the Athabasca and Peace Rivers; white sucker collected from the Athabasca River; longnose sucker collected from the Peace River; slimy sculpin collected from the Steepbank River; lake chub from Alice Creek, the Ells and Dover Rivers; and longnose dace from the Mackay River. Contaminants data available for walleye collected from the Athabasca and Peace Rivers. For each of these data sets, upstream reference areas are provided for comparison to downstream developed sites. Reference data are currently being evaluated for variability between years to develop triggers, and these triggers are essential to eventually quantify potential effects at exposed sites. Using existing critical effect sizes developed in the Environmental Effects Monitoring programs for pulp and paper and metal mining effluents, condition endpoints in white sucker were increased within the deposit. Slimy sculpin condition and reproductive endpoints are also exceeding effect sizes downstream of development sites. This data is now being used to predict future fish health endpoints within sites, between sites and relative to reference variability to help assess change in fish health.