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RI_623

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  • A collection of five crustal scale seismic refraction programs performed in Canada by the Geological Survey of Canada.

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    Tree swallow (Tachycineta bicolor) nest boxes are installed in oil sands area and in reference locations to monitor contaminant levels and impacts on tree swallow nestlings. The exposure to tree swallow nestlings to air-borne oil sands-related contaminants such as polycyclic aromatic hydrocarbons (PAHs) is assessed using passive air samplers. Measures of avian health are examined in relation to location of sampling and contaminants measured.

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    The ‘Land use allocation to Soils and Landforms by year’ dataset links agricultural land use activities to soils and landscapes within Soil Landscapes of Canada (SLC) polygons. The land use allocations to soils area datasets were generated on an annual time step (1971-2015). Agricultural land use is categorized and allocated based on the following general land use types: Annual cropland, Perennial cropland, Specialty Crops, Improved pasture and Unimproved Pasture.

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    Dry spell periods are defined as the number of days (April 1 – October 31) where daily precipitation is less than 0.5 mm. This is not an accumulation of precipitation, simply a count of days. Dry spell products are only generated during the Growing Season, April 1 through October 31.

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    Multi-model ensembles of mean temperature based on projections from twenty-nine Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models are available for 1901-2100. Specifically, the 5th, 25th, 50th, 75th and 95th percentiles of the monthly, seasonal and annual ensembles of mean temperature (°C) are available for the historical time period, 1901-2005, and for emission scenarios, RCP2.6, RCP4.5 and RCP8.5, for 2006-2100. Note: Projections among climate models can vary because of differences in their underlying representation of earth system processes. Thus, the use of a multi-model ensemble approach has been demonstrated in recent scientific literature to likely provide better projected climate change information.

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    The Agri-Environmental Indicator Agricultural Greenhouse gas Budget datasets provide estimated net greenhouse gas emissions due to agricultural activities per hectare of Soil Landscapes of Canada agricultural areas. 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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    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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    Water level and discharge data are available from Water Survey of Canada’s Hydrometric Network. The Water Survey of Canada (WSC) is the national authority responsible for the collection, interpretation and dissemination of standardized water resource data and information in Canada. In partnership with the provinces, territories and other agencies, WSC operates over 2500 active hydrometric gauges across the country, maintains an archive of historical information for over 7600 stations and provides access to near real-time (water level and stream flow) provisional data at over 1700 locations in Canada.

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    The National Human Settlement Layer (NHSL) is a collection of thematic datasets that describe the physical, social and economic characteristics of urban centres and rural/remote communities across Canada, and their vulnerability to natural hazards of concern. Detailed information on land use, buildings, people and capital assets are provided at the Census Dissemination Area administrative level for more than 454,000 settled areas across Canada. The Physical Exposure Layer includes a delineation of human settlement areas and related functional land use classes across Canada, and provides detailed information on construction type, occupancy and design level of more than 9.1 million buildings; population dynamics at different times of day for 35.1 million people, and; capital asset valuation of buildings and contents totaling more than 8.3 trillion CAD$. The Social Fabric Layer utilizes Census demographic data to evaluate broad spatial patterns of vulnerability, and neighbourhood-level capacities to withstand and recover from disaster events based on intrinsic characteristics of housing, family structure, individual autonomy and financial agency. Although developed to support quantitative risk assessments and implementation of the Sendai Framework for Disaster Risk Reduction at local and regional scales in Canada, the NHSL is also suitable for use in other integrated landscape modeling applications, including climate change adaptation and sustainable land use planning.

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    The Canadian major and minor crop field trial regions were developed following extensive stakeholder consultation and have been harmonized between the Pest Management Regulatory Agency (PMRA) and the Environmental Protection Agency of the USA. The Canadian major and minor crop field trial regions were delineated, using the geographic information system (GIS) data processing hardware and software facilities in Spatial Analysis and Geomatics Applications (SAGA), Agriculture Division, Statistics Canada. In general, the delineation process involved integration, evaluation and reference to numerous geographic data sources in a GIS to determine the best sources for the delineation. There are seven major and four minor field trial regions. Each of these regions recognizes physical characteristics, such as soils, and crops and climate, that make the region unique within the Canadian agricultural landscape. The subzones address differences within a region, generally reflected in the types of crops grown in that region. The Canadian regions, as much as possible, correspond to the U.S. regions