RI_542
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Peatlands include information relating to peatlands defined as a wetland, colonized by vegetation allowing the formation of a soil made of peat that is the result of the fossilization of organic matter.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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Contour Lines for the Pasqua, Crooked, Echo, and Round Lakes within the Qu’Appelle Valley river system in Saskatchewan
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The LiDAR data was produced for an Agriculture and Agri-Food Canada land and water resource study. The data is required to produce high resolution DEMs to improve hydrologic and environmental resource modelling within the area.
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PURPOSE: "Biological, relative abundance, and environmental data have been collected from the Yellowknife River Cisco population that can be used to inform fisheries management decision-making. Under the conditions of a commercial licence issued under the New Emerging Fisheries Policy, licence holders are required to record catch and biological information to support the assessment of the feasibility and sustainability of the fishery over time, and potential advancement in the stages of a developing fishery. In addition to the information collected from the commercial harvest (fishery-dependent), a fishery-independent sampling and snorkel survey program was conducted with the objective of collecting additional biological, observational, and environmental data during the fall spawning run. The objective of this report is to compile available data from fishery-dependent and fishery-independent sampling of adfluvial Yellowknife River Cisco during fall, 1998-2020*, specifically by: • Summarizing commercial fishery quotas and reported harvest; • Characterizing population demographics and examining for trends over time; • Summarizing metrics of relative abundance (i.e., catch-per-unit-effort data and snorkel survey observations) and examining for trends over time; and • Determining if there were any associations between relative abundance of Cisco and river discharge and temperature. *A commercial harvest occurred in 1998, although no biological or catch-effort records were located. In addition, in response to concerns about the status of the population, the fishery was put on hold 2006–2009 to allow for a population assessment (no data during that time). DESCRIPTION: Cisco (Coregonus artedi) from the Yellowknife River, Northwest Territories, are an important fishery resource for nearby communities. Biological, catch-effort, and environmental data were collected from the Yellowknife River (Tartan Rapids and Bluefish areas) during their fall spawning run from Great Slave Lake. Data from the commercial harvest (fishery-dependent; 1998–2020) and supplementary monitoring (fishery-independent; 2013–2020) of these adfluvial Cisco were compiled to summarize commercial fishery quotas and reported harvest, characterize population demographics and catch-effort over time, and assess potential associations between relative abundance and seasonal river characteristics. A single commercial fishing licence for Cisco was issued on an annual basis each fall for 1,000 kg from 1998–2002, 2,000 kg from 2004–2005, 1,000 kg from 2010–2018, and 1,500 kg from 2019–2020. Cisco ranged from 102–239 mm fork length, 10.0–139.6 g round weight, and 1 and 9 years of age, with the majority of fish (>99%) being sexually mature. The demographics (length, weight, age) of the spawning population collected from the commercial fishery remained relatively stable between 1999 and 2020. Catch-effort of the commercial fishery varied widely among years without trend, although this was not standardized to the number of individuals/nets used to capture the fish. The biological, catch-effort, and environmental data collected from the Yellowknife River spawning population of Cisco serve as a benchmark for their ongoing assessment and management.
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The AAFC Infrastructure Flood Mapping in Saskatchewan - Contours - 50 centimetre is the LiDAR contours with an interval of 0.5m of the capture area of Saskatchewan. The contours were modeled from the ground class at a maximum vertical distance of 0.5m and a horizontal distance of 20 m. Breaklines were not used around water features therefore a uniform height of water bodies is not necessarily present if overlapping data was collected on different days. Major contours were defined every 5m and minor contours every 0.5 m
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The SiIGsol-100m maps make it possible to document the spatial evolution of the properties of the mineral part of the soil at a spatial resolution of 100 m. These values were simulated by combining point observation data and spatially explicit covariates, derived from remote sensing data, using automated learning methods. These values should not be interpreted as an observation, but rather as the most likely value for a given distribution of observations and set of predictor variables. Soil property values are simulated for all non-urbanized land surfaces. All attributes whose value is likely to change with the depth are available in 6 layers, which make it possible to translate the evolution of properties with depth. The depth limits used come from the GlobalSoilMap.net project mapping standard: 00-05 cm, 05-15 cm, 15-30 cm, 30-60 cm, 60-100 cm, and 100-200 cm. Map products are currently divided into 6 variables; the sand fraction, the silt fraction, the clay fraction, the pH, the cation exchange capacity and the proportion of organic matter. They cover the entire territory of the Province of Québecois located south of the 55th parallel.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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Shorelines for the Pasqua, Crooked, Echo, and Round Lakes within the Qu'Appelle Valley River system in Saskatchewan
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“The “Biomass Report Framework” dataset is a fishnet polygon fabric used as a common spatial reporting framework for BIMAT that covers the extent of Canada.
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Railway network on the territory of the city. **Collection context** Historical data from the Government of Quebec. Additional data by photointerpretation. **Collection method** Computer-aided mapping. **Attributes** * `ID_VFR` (`integer`): Identifier * `SOURCE` (`varchar`): Source * `DATE_CREATION` (`smalldatetime`): Created on * `DATE_MODIFICATION` (`smalldatetime`): Modified on * `USER_MODIFICATION` (`varchar`): Modified by For more information, consult the metadata on the Isogeo catalog (OpenCatalog link).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**
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Spiny dogfish (Squlaus acanthias), is a species found in Atlantic Canadian waters which is encountered mostly in commercial fisheries. Pop-up Satellite Archival Tags (PSAT) from Wildlife Computers were applied to spiny dogfish from 2008 to 2009 to collect data on depth (pressure), temperature and ambient light level (for position estimation). Deployments were conducted in Canada on commercial fishing vessels from August to October. Wildlife Computers PSAT Mk10 (N=6) were used and 3 of 6 tags reported. One tag was found washed up on shore and was returned. The spiny dogfish tagged ranged in size from 80 cm to 96 cm Fork Length (curved); all 6 were female. Time at liberty ranged from 75 – 234 days and the 43 tags that reported remained on the sharks for the programmed duration. Raw data transmitted from the PSAT’s after release was processed through Wildlife Computers software (GPE3) to get summary files, assuming a maximum swimming speed of 2m/s, NOAA OI SST V2 High Resolution data set for SST reference and ETOPO1-Bedrock dataset for bathymetry reference. The maximum likelihood position estimates are available in .csv and .kmz format and depth and temperature profiles are also in .csv format. Other tag outputs as well as metadata from the deployments can be obtained upon request from: warren.joyce@dfo-mpo.gc.ca or heather.bowlby@dfo-mpo.gc.ca.
Arctic SDI catalogue