Mapping of the perimeter of urbanization in the urban planning code (CDU) on the territory of Laval.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Central Group Caribou Partnership Agreement Zones are the spatial data associated with the *Intergovernmental Partnership Agreement for the Conservation of the Central Group of the Southern Mountain Caribou* (February 21, 2020). This most current version of the data was produced in July 2024.

Zooplankton and ichthyoplankton data are archived in the Institute of Ocean Sciences (IOS) Zooplankton Database. The data available spans from 1980 to 2018 and is an extraction of vertical net hauls as biomass by major taxa collected during surveys conducted in the oceanic and coastal waters of the Northeast Pacific Ocean. The majority of vertical net hauls in this data set were collected from 10 metres above the sea floor or an approximate maximum depth of 250 metres. For further data requests, please use the contact information provided.

Every year, since 1967, the Ministère des Forêts, de la Faune et des Parcs (MFFP) has been conducting an aerial survey of damage caused by the main insects and diseases that attack trees. This fact sheet focuses exclusively on data concerning damage caused by hemlock looper. The data is updated annually only in case damage is observed. The aerial survey is carried out in sectors previously determined according to the damage of the previous year, the results of inventories to predict the populations of this insect and the observations reported in the forest.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Flood tactical maps have currently been developed for the English River, Rainy River, Montreal River, Black River, Trent River, Madawaska, Magnetawan, Muskoka, Mississippi Valley, French, Sturgeon and Nippissing watersheds. The purpose of these maps is to show more succinctly the physiography of the region, the individual river watersheds, ongoing monitoring, location of dams, high risk dams/reservoirs and communities. We are no longer updating this data. It is best suited for historical research and analysis.

Soil Survey Project Boundaries (soil mapping study areas) contains the soil survey project area and attributes describing each project (project level metadata), plus links to the locations of other data associated with the project (e.g., soil survey reports, polygon datasets, plotfiles, scanned maps, legends). Soil Mapping divides the landscape into units according to soil association, name, type, drainage, parent material, and texture. This layer is derived from the STE_TEI_PROJECT_BOUNDARIES_SP layer by filtering on the PROJECT_TYPE attribute. Project types include: SOIL, TIMSOI, and SOILSW. Current version: v11 (published on 2024-10-03) Previous versions: v10 (published on 2023-11-14), v9 (published on 2023-03-01), v8 (published on 2016-09-01) The Soil Survey dataset contains project boundaries as well as the soil survey polygons which are available in a variety of formats including: 1) via the [Soil Information Finder Tool](http://www2.gov.bc.ca/gov/content/environment/air-land-water/land/soil-information-finder) Mapping App (interactive app), 2) [Soil Survey Spatial data](https://catalogue.data.gov.bc.ca/dataset/soil-survey-spatial-view) with [Soil Name and Layer Files](https://catalogue.data.gov.bc.ca/dataset/soil-name-and-layer-files) (for download or viewing via iMapBC), or as 3) [Soil Mapping Data Packages](http://www.env.gov.bc.ca/esd/distdata/ecosystems/Soil_Data/Soil_Data_Pkgs/) with geodatabase or shape files, and a data dictionary.

Tourism use points of accomodations, satellite camps, attractions, and features

This dataset provides wall-to-wall maps of forest structure across Canada's 650 million hectare forested ecosystems for the year 2022, generated at a spatial resolution of 30 m. Structure estimates include key attributes such as canopy height, canopy cover, and aboveground biomass, derived using a combination of airborne lidar and Landsat-based spectral composites. Structure models were trained using the - lidar-plot framework - (Wulder et al. 2012), which integrates co-located airborne lidar data and ground plot measurements with Landsat time-series composites (Hermosilla et al. 2016). A Nearest Neighbour imputation approach was applied to estimate structural attributes across the full extent of Canada's forested area. These nationally consistent products are intended to support strategic-level forest monitoring and assessment and are not designed for operational forest management. For further details on the methods, accuracy assessment, and source data, see Matasci et al. (2018). Matasci, G., Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Bolton, D.K., Tompalski, P., Bater, C.W., 2018. Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots. Remote Sensing of Environment, 216, 697-714. https://doi.org/10.1016/j.rse.2018.07.024 (Matasci et al. 2018)

30 Year Spatial Climate Averages are used to describe the average climatic conditions for an area and include variables for maximum temperature, minimum temperature, precipitation, and climate moisture index. At the end of each decade, scientists at Natural Resources Canada have been creating the newest models for as many climate variables as possible. Using a program called ANUSPLIN and climate data points, models for Canada and the United States are created. The NRCan Climate Averages are a large suite of datasets that can be used to compare weather of the past and present to help predict the future climate. The 30 year averages are computed for a uniform 30 year period and consists of the 12 monthly averages computed over the 30 year time period. The 30-year periods included in this series are: 1901-1930; 1921-1950; 1931-1960; 1951-1980; 1961-1990; 1971-2000; 1981-2010; 1991-2020. These are standard 30-year WMO (World Meteorological Organization) periods. Although this data has been processed successfully on a computer system at the Canadian Forest Service, no warranty expressed or implied is made regarding the accuracy or utility of the data on any other system or for general scientific purposes, nor shall the act of distribution constitute any such warranty. The disclaimer applies both to individual use of the data and aggregate use with other data. It is strongly recommended that careful attention be paid to the contents of the metadata file associated with these data. The Canadian Forest Service shall not be held liable for improper or incorrect use of the data described and/or contained herein.

Statistically downscaled multi-model ensembles of maximum temperature are available at a 10km spatial resolution for 1951-2100. Statistically downscaled ensembles are based on output from twenty-four Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models (GCM). Daily maximum temperature from GCM outputs were downscaled using the Bias Correction/Constructed Analogues with Quantile mapping version 2 (BCCAQv2). A historical gridded maximum temperature dataset of Canada (ANUSPLIN) was used as the downscaling target. The 5th, 25th, 50th, 75th and 95th percentiles of the monthly, seasonal and annual ensembles of downscaled maximum temperature (°C) are available for the historical time period, 1951-2005, 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.