“Thousand Islands National Park - Total GHG Emissions” datasets consist of estimates of GHG emissions (carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O)) in carbon dioxide equivalents (CO2e) from forested ecosystems in Thousand Islands National Park from 1990 to 2020 (tonnes carbon dioxide equivalent per hectare). Total GHG emissions for 31 national parks were estimated using the Generic Carbon Budget Model (GCBM), a spatially explicit carbon budget model developed by Canadian Forest Service which uses forest inventory, disturbance, and mean annual temperature data along with yield data to estimate growth and merchantable volume for dominant tree species. Species- and Ecozone-specific equations are then used to convert merchantable volume to aboveground and belowground biomass carbon. The GCBM simulates carbon dynamics to produce spatially explicit estimations of carbon stocks and fluxes. The model simulates and tracks carbon stocks, transfers between Intergovernmental Panel on Climate Change (IPCC)-defined pools, and other metrics including net ecosystem production, net biome production, and emissions of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) in annual time steps. The stocks and fluxes are also tracked by disturbance event (e.g., forest fires). Total GHG emissions include those from natural processes like respiration and decomposition and those due to natural and anthropogenic disturbances, including wildfires, prescribed burns, and insect outbreaks. These were calculated as the sum of CO2, CH4, and N2O emission estimates in tonnes carbon (tonnes C) generated by the GCBM. Emissions estimates were then converted to carbon dioxide equivalents (CO2e) using the 100-year Global Warming Potential (IPCC Fourth Assessment Report) factors for CH4 (25) and N2O (298). These products have a spatial resolution of 30m. This information is part of the Parks Canada Carbon Atlas Series. To obtain a copy of this report, please contact changementclimatique-climatechange@pc.gc.ca. When using this data, please cite as follows: Sharma, T., Kurz, W.A., Fellows, M., MacDonald, A.L., Richards, J., Chisholm, C., Seutin, G., Richardson, K., Keenleyside, K. (2023). Parks Canada Carbon Atlas Series: Carbon Dynamics in the Forests of Canada’s National Parks. Scientific Report. Parks Canada Agency, Gatineau, QC, Canada, 104 p.

Grassland and Shrub-steppe Habitat coverage for the South Okanagan-Similkameen Conservation Program Area of Interest.

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.

Canada's National Forest Inventory (NFI) sampling program is designed to support reporting on forests at the national scale. On the other hand, continuous maps of forest attributes are required to support strategic analyses of regional policy and management issues. We have therefore produced maps covering 4.03 × 106 km2 of inventoried forest area for the 2001 base year using standardised observations from the NFI photo plots (PP) as reference data. We used the k nearest neighbours (kNN) method with 26 geospatial data layers including MODIS spectral data and climatic and topographic variables to produce maps of 127 forest attributes at a 250 × 250 m resolution. The stand-level attributes include land cover, structure, and tree species relative abundance. In this article, we report only on total live aboveground tree biomass, with all other attributes covered in the supplementary data (http://nrcresearchpress.com/doi/suppl/10.1139/cjfr-2013-0401). In general, deviations in predicted pixel-level values from those in a PP validation set are greater in mountainous regions and in areas with either low biomass or sparse PP sampling. Predicted pixel-level values are overestimated at small observed values and underestimated at large ones. Accuracy measures are improved through the spatial aggregation of pixels to 1 km2 and beyond. Overall, these new products provide unique baseline information for strategic-level analyses of forests (https://nfi.nfis.org) Collection: - **[Canada's National Forest Inventory (NFI) 2006](https://open.canada.ca/data/en/dataset/e2fadaeb-3106-4111-9d1c-f9791d83fbf4)**

All lake polygons for the province

Wood and forest corridor of interest, exceptional forest complex and protected area” of the revised land use and development plan of the City of Laval**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This data covers the entire Far North from 2005-2011. The data is provided in both grid and vector formats. It is broken into layers that cover UTM zones 15, 16 and 17. Layers representing each level of the classification hierarchy described in the data specs have been provided: * class * group * section Can be used to create a consistent map to meet regional - to landscape level analysis (1:100,000).

The Copper Redhorse (Moxostoma hubbsi) is the only fish whose distribution is exclusively restricted to Quebec. This range is restricted even further to the St. Lawrence River and some of its tributaries. This layer represents the Copper Redhorse critical habitat defined by the analysis of available knowledge and a scientific advice. Purpose The Copper Redhorse population is in decline due to several threats like habitat degradation, construction of dams, contaminants, exotic or introduced species, recreational activities, commercial fishery, and low water levels. Furthermore, certain biological characteristics of the Copper Redhorse contribute to its vulnerability. The Copper Redhorse population was officialy listed as endangered in Schedule I of the Species at Risk Act in December 2007. Additional Information Critical habitat for the Copper Redhorse has been identified to the extent possible, based on the best available information. Two workshops held in 2009 and 2010 by Fisheries and Oceans Canada and the Ministère des Ressources Naturelles et de la Faune du Québec, allowed to review the information and take note of the new data to identify habitat use by the Copper Redhorse in the St. Lawrence and Richelieu rivers and later in the Rivière des Prairies and Rivière des Milles Îles. Adult feeding habitat in the St. Lawrence River between Lake Saint-Louis and Lake Saint-Pierre, was identified using modeling based on the telemetric monitoring of habitat use and on twelve habitat variables (for example: depth, current velocity, vegetation density). Also, recent telemetry and historic data confirmed the use of the lower stretches of the Rivière des Prairies and Rivière des Mille Îles. Critical adult feeding habitat is consequently identified as habitat in the fluvial reach between Montreal and Sorel presenting favorable characteristics for the copper redhorse, used in the model. DFO. 2012. Recovery Strategy for the Copper Redhorse (Moxostoma hubbsi) in Canada. Species at Risk Act Recovery Strategy Series. Fisheries and Oceans Canada, Ottawa. xi+60 pp. https://www.registrelep-sararegistry.gc.ca/document/doc1565p/ind_e.cfm

Structuring land to be built and transformed from the revised land use and development plan of the City of Laval**This third party metadata element was translated using an automated translation tool (Amazon Translate).**