RI_623
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The Grain Elevators in Canada dataset maps the list of grain elevators in Canada as provided by the Canadian Grain Commission (CGC). The elevators have been located as much as possible to an actual location rather than generalizing to the station name centroid. Additionally car spot information from CN, CP and the grain companies has been added where this has been published. This dataset attempts to provide a temporal and geographical extent of the grain elevators in Canada.
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The Agri-Environmental Indicator of Risk of Water Contamination by Phosphorus dataset estimates the relative risk of phosphorus loss from Soil Landscapes of Canada agricultural areas to surface water. The data series for this indicator consists of four (4) datasets: Annual P-Balance, Soil-P-Source, Edge of Field and IROWC-P. Products in this data series present results for predefined areas as defined by the Soil Landscapes of Canada (SLC v.3.2) data series, uniquely identified by SOIL_LANDSCAPE_ID values.
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Monthly mean temperature from Bedford Institute of Oceanography North Atlantic Model (BNAM) results were averaged over 1990 to 2015 period to create monthly mean climatology for the Northwest Atlantic Ocean, which can be considered as a representation of the climatological state of the Northwest Atlantic Ocean. The BNAM model is eddy-resolving, NEMO-based ice-ocean coupled North Atlantic Ocean model developed at the Bedford Institute of Oceanography (BIO) to support DFO monitoring programs. The data available here is monthly climatology for eight selected depths (surface, 110 m, 156 m, 222 m, 318 m, 541 m, 1062 m, bottom) in 1/12 degree spatial resolution. The data for each month from 1990 until present for the entire model domain ( 8°–75°N latitude and 100°W–30°E longitude) and various depths is available upon request. The 1990-2017 model hindcast result is compared with observational data from surface drifter and satellite altimetry. The model demonstrates good skill in simulating surface currents, winter convection events in the Labrador Sea, and the Atlantic Meridional Overturning Circulation as observed at 26.5°N and 41°N. Model results have been used to interpret changes in the Labrador Current and observed warming events on the Scotian Shelf, and are reported through the annual AZMP Canadian Science Advisory Secretariat Process. When using data please cite following: Wang, Z., Lu, Y., Greenan, B., Brickman, D., and DeTracey, B., 2018. BNAM: An eddy resolving North Atlantic Ocean model to support ocean monitoring. Can. Tech. Rep. Hydrogr. Ocean. Sci. 327: vii + 18p
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The Wastewater Systems Effluent Regulations (WSER), developed under the Fisheries Act, came into force in 2012 to manage wastewater releases by systems that collect an average daily influent volume of 100 cubic metres or more. The WSER also does not apply to any wastewater system located in the Northwest Territories, Nunavut and north of the 54th parallel in the provinces of Quebec and Newfoundland and Labrador. The WSER set national baseline effluent quality standards that are achievable through secondary wastewater treatment. The map below presents the wastewater system locations in Canada and the type of treatment they utilize (mechanical, lagoon or no treatment). The data is based on the information submitted to Environment and Climate Change Canada as of November 2022. Note that this layer does not represent the level of wastewater treatment or whether the system complies with the WSER. The map is available in both ESRI REST (to use with ARC GIS) and WMS (open source) formats. For more information about the individual reporting wastewater systems, datasets are available in either Excel or CSV formats at the resource listed below: “Wastewater Systems Effluent Regulations Reported Data”. Data from Quebec and Yukon The data for Quebec municipalities (after 2017) is provided to the department separately through the equivalency agreement that was finalized in October 2018. Beginning in 2015, the data reported for the Yukon is provided to the department separately through an equivalency agreement finalized in 2014. More information on the wastewater sector including the regulations, agreements, contacts and resource documents is available at: https://www.canada.ca/wastewater
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Series of Panchromatic orthophotos for 4 reservoir areas, Duncairn, LaFleche, Moosomin, Gouverneur taken in 2005. The photos were meant to coincide at a time when the reservoirs where at high flood supply levels (FSL).
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Monitoring activities have collected bulk suspended sediment samples using continuous flow centrifuges and Phillips Tube samplers in the Lower Athabasca River and tributaries respectively. Further, in the absence of pre-development monitoring for this region, high fidelity dated lake sediment cores were used to assess the natural range in contaminant deposition to this region and to obtain a historical perspective of contaminant loadings. All sediments (suspended river and lake cores) have been analyzed in the laboratory for sediment quality variables as per Appendix B in the Integrated Monitoring Plan (cores were also analyzed for paleo indicators of ecosystem health such as diatoms). In addition, as the Lower Athabasca river bed sediments are known to shift and migrate downstream, bathymetric maps of the bed-channel morphology over time was also completed. This will allow for estimates of bed sediment transport downstream for the period of survey, and be useful in calibration/validation of sediment and contaminant numerical transport models.
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30-year Average Number of Days with Minimum Daily Temperature above 20 °C is defined as the count of climate days during the year where the minimum daily temperature was above 20 °C. These values are calculated across Canada in 10x10 km cells
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These shorebird surveys are conducted intermittently at a series of sites near the town of Tofino on the west coast of Vancouver Island, British Columbia, during northward (April to May) and southward migration (July to November). This survey includes all shorebird species. Surveyors used binoculars or a spotting scope to count the total number of shorebirds present within the natural boundaries of each survey site during the northward and/or southward migration periods. They used a boat to count birds within the entire area of Arakun Flats and Ducking Flats by traveling along the outer edge of the mudflats, and by stopping at standardized vantage points on land. They also used a boat to view as much area as possible within Maltby Slough, South Bay and Grice Bay from the openings to each of these bays. Surveyors walked the entire length of Chesterman Beach including the tombolo to Frank Island. Surveys were done at least twice a week at each site. Most boat surveys began at low tide when the mudflats were exposed and continued on the rising tide. Road accessible sites were usually surveyed during the hour before high tide or at high tide in 2011. Surveys were not conducted in weather that reduced visibility or made boat travel unsafe (heavy rain or high wind). Surveyors counted birds individually when they were within flocks of fewer than 200 birds. They estimated the size of larger flocks by counting 50 or 100 birds and then judged how many similar-sized groups made up the entire flock. Distant flocks were recorded as small or large shorebirds and assumed to have the same species composition as those closer to shore in 1995 or identified to species group and recorded as either “dowitchers” or “peeps” in 2011.
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These products represent crop health indices derived from the Versatile Soil Moisture Budget (VSMB) model using crop specific coefficients and station based precipitation and temperature measurements to simulate crop growth. The VSMB model simulates soil moisture dynamics and water stress conditions based on water availability in the soil profile and simulated evapotranspiration during the crop growing season. Crop phenological stages, which are related to crop water use, are determined by a biometeorlogical time scale model (Robertson, 1968) for cool season crops (wheat, barley etc.) and a Crop Heat Unit (Brown and Bootsma, 1993) algorithm for warm season crops (corn and soybean etc.).
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This dataset displays the geographic areas within which critical habitat (CH) for terrestrial species at risk, listed on Schedule 1 of the federal Species at Risk Act (SARA), occurs in Canada. Note that this includes only terrestrial species and species for which Environment and Climate Change Canada (ECCC) and Parks Canada Agency (PCA) lead. Under SARA, critical habitat is “the habitat that is necessary for the survival or recovery of a listed wildlife species and that is identified as the species’ critical habitat in the recovery strategy or action plan for the species.” To precisely define what constitutes critical habitat for a particular species it is essential that this geospatial information be considered in conjunction with complementary information provided in a species’ recovery document. Recovery documents are available from the Species at Risk (SAR) Public Registry (https://www.canada.ca/en/environment-climate-change/services/species-risk-public-registry.html) for two posting stages (proposed and final posting). The recovery documents contain important information about the interpretation of the geospatial information, especially regarding the biological and environmental features (“biophysical attributes”) that complete the definition of a species’ critical habitat. Within any defined critical habitat geospatial boundary, not all of the area is necessarily critical habitat. It is important to note that recovery planning documents (and, therefore, critical habitat) may be amended from time to time as new information becomes available, which may occur after a document has been posted as proposed or final on the SAR Public Registry. The SAR Public Registry should always be considered as the main source for critical habitat information. In cases where the data are sensitive, the geographic area within which critical habitat occurs may be represented as grids. These are coarse grids (1, 10, 50 or 100 square kilometres) that serve as indicators to locate critical habitat in the recovery planning document. More detailed information on critical habitat may be made available on a need-to-know basis by contacting Environment and Climate Change Canada – Canadian Wildlife Service at ec.planificationduretablissement-recoveryplanning.ec@canada.ca. The data is current as of the date of the most recent revision.
Arctic SDI catalogue