Forest ecosystems located on the domain of the State and of particular interest for the conservation of biological diversity, because of their rare or ancient nature, or because they are home to one or more threatened or vulnerable plant species. Their management is under the responsibility of the Ministry of Natural Resources and Forests (MNRF) and they may be classified under the Sustainable Forest Development Act (LADTF, chapter A-18.1). Forest management activities are prohibited on the territory of an exceptional forest ecosystem, with few exceptions.Currently, there are 256 classified EFEs. This data comes from the MRNF STF system, which is the __official source__ of this geographic information.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The Common Attribute Schema for Forest Resource Inventories (CASFRI) is a Canadian forest resource inventory data repository. Forest resource inventory datasets in CASFRI are harmonized to a common data model so that data collected by different agencies following different standards can be used together. Participating provincial, territorial and federal government departments and agencies share current and historical map-based forest resource inventory datasets through CASFRI so that their data are available to users who’s areas of interest span multiple jurisdictions. CASFRI was originally developed by academic researchers (Cumming et al., https://doi.org/10.1139/cjfr-2014-0102). This flavour of CASFRI (CASFRIv5) was developed anew in collaboration with academic researchers at the University of Laval to provide a government version of CASFRI that is findable, accessible, interoperable, and reusable. It uses the most up-to-date forest inventory data provided by participating provincial, territorial, and federal government departments and agencies. CASFRIv5 is hosted on the Canadian Council of Forest Ministers’ data portal, the National Forest Information System (http://nfis.org).

Geospatial forest inventory dataset updated for depletions, such as harvesting, and projected annually for growth. Sample attributes in this dataset include: age, species, volume, height. The Vegetation Resources Inventory (VRI) spatial datasets describe both where a vegetation resource (ie timber volume, tree species) is located and how much of a given resource is within an inventory unit. Suggested citation: Forest Analysis and Inventory Branch (2024). VRI - 2024 - Forest Vegetation Composite Rank 1 Layer (R1). British Columbia Data Catalogue. https://catalogue.data.gov.bc.ca/dataset/2ebb35d8-c82f-4a17-9c96-612ac3532d55

This is a spatial layer that reflects operational activities for harvesting authorities. The harvesting authority is a legal area cleared by the Ministry of Forests and Range (that is, no other claims for the land exist) for harvesting purposes. This corresponds to the outlined areas on the Exhibit A maps. The Forest Tenures Section (FTS) is responsible for the creation and maintenance of digital Forest Atlas files for the province of British Columbia encompassing Forest and Range Act Tenures. It also supports the forest resources programs delivered by the MoFR. Each feature contains a Ministry of Forests and Range (MoFR) FEATURE_CLASS_SKEY (number) column that further defines the type of that feature. The layer contains harvesting authority boundaries for the following feature classes: Christmas Tree Permit (489), Forest Licence Cutting Permit (556), Licence to Cut (615), Timber Licence Cutting Permit (811), Timber Sale Licence Major Cutting Permit (818), Timber Sale Licence Minor (819), Tree Farm Licence Cutting Permit (834), WoodLot Licence Cutting Permit (864), Timber Sale Licence Minor Cutting Permit (917), and Community Forest Cutting Permit (2401). Each harvesting authority has a life cycle status code that is either PENDING - the harvesting authority has been submitted as a new harvesting authority or an amendment, but is not yet approved or rejected, ACTIVE - the harvesting authority is approved and activities may be taking place on the harvesting authority, or RETIRED - all activities have been completed for the harvesting authority

These are the boundaries of disturbance area that underwent forest management activities and are monitored to determine if reforestation obligations were achieved. Openings were derived from forest cover surveys, GPS field data collections, and satellite imagery. This database is the most current information available, but will be updated as new information is added.HARVEST_START - This is the date that harvesting started in the opening.REGEN_MET - This is the date that regeneration was determined to be present in the opening.FG_MET - This is the date that a free growing status was determined to be present in the opening.RELIEVED_OF_OBLIGATION - This is the date that the opening was determined to be returning to a forested area, was relieved of any further Silviculture obligations to reforest, and returned to the forest inventory.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon. ca](mailto:geomatics.help@yukon.ca)

Historical Open Range - 1963-1994 is a polygon layer that depicts grasslands and shrublands (originally designated as 'on land deemed with no potential for growing trees'). Data were derived from a (retired) Provincial Forest Cover Polygon dataset which was interpreted from air photos. Photograph and interpretation dates range from 1963 to 1994. This dataset has value as temporal snapshots of ecosystems under siege from human and natural processes. Data is useful for identification and analysis of forest ingrowth into grasslands from fire suppression. Encroachment can shift over time, for example from changing climate and disturbance events, and this data provides one measure of that shift. Data may also inform location of wildfire safety buffers around communities.

This feature delineates forest and vegetation stands in the Yukon at a scale of 1: 40 ,000. It is a management level forest inventory (as opposed to a n operational level) - meaning that analysis and mapping are most effective close to the 1:40,000 scale and not larger . This inventory has been completed in various stages : delineation from hardcopy black and white photographs took place from 1987 to 2002; while recent data collection has proceeded through a digital (aka 'softcopy') methodology of scanned photographs and digital elevation models.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

Data from the former Kemptville, Midhurst and Aylmer Districts were compiled in this dataset to show forest areas on private land, managed by the landowner in cooperation with the Ontario Ministry of Natural Resources under the Woodlands Improvement Act (WIA). The WIA allowed for 15-year management agreements between landowners and the MNR to plant and improve woodlands on private land. The WIA was in place from 1966-1999. This data is being provided as-is. No additional data is available, and no updates or maintenance are planned for this dataset.

This dataset includes the extent of the boreal forest as well as the extent of managed boreal forest worldwide. The extent of boreal forest was produced from Brandt et al. (2013) and a modified version of Goudilin (1987). Managed forest was defined as suggested by IPCC (2003) using data from FAFS (2009), Gauthier et al. (2014), See et al. (2015) and AICC maps. The extent of managed forest mostly includes areas managed for wood production, areas protected from large-scale disturbances as well as formal protected areas.Both boreal forest extent and managed boreal forest extent are available in raster and vector data.Please cite this data product as:Boucher, D., D.G. Schepaschenko, S. Gauthier, P. Bernier, T. Kuuluvainen, A. Z. Shvidenko. 2024. World boreal forest and managed boreal forest extent. DOI: 10.23687/88d70716-2600-4995-8d5f-86f96e383abfThese data were presented in the following article:Gauthier, S., P. Bernier, T. Kuuluvainen, A. Z. Shvidenko, D. G. Schepaschenko. 2015. Boreal forest health and global change. Science 349:819-822. DOI: 10.1126/science.aaa9092References:J. P. Brandt, M. D. Flannigan, D. G. Maynard, I. D. Thompson, W. J. A. Volney, Environ. Rev. 21, 207–226 (2013)I. S. Goudilin, Landscape map of the USSR. Legend to the landscape map of the USSR. Scale 1:2 500 000. Moscow, Ministry of Geology of the USSR (1987) [in Russian].Inter-governmental panel on climate change (IPCC). J. Penman, M. Gytarsky, T. Hiraishi, T. Krug, D. Kruger, et al., Eds., Good practice guidance for land use, land-use change and forestry (IPCC/NGGIP/IGES, Kanawaga, 2003)Federal Agency of Forest Service (FAFS), Forest Fund of the Russian Federation (state by 1 January 2009) (Federal Agency of Forest Service, Moscow, 2009) [in Russian]S. Gauthier et al., Environ. Rev. 22, 256–285 (2014).See et al., Harnessing the power of volunteers, the internet and Google Earth to collect and validate global spatial information using Geo-Wiki. Technological Forecasting and Social Change. (2015). doi:10.1016/j.techfore.2015.03.002 Alaska Interagency Coordination Center (AICC). Fire Information. https://fire.ak.blm.gov/content/maps/aicc/Large%20Maps/Alaska_Fire_Management_Options.pdf (the version of 2014 was used)

In this dataset, we share maps of annual dominant tree species (also known as leading tree species) from 1984-2022 covering the entirety of Canada's 650 Mha forested ecosystems using Landsat time-series imagery at a 30-m spatial resolution. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). Classifications are based on regionally representative Random Forests model using local training samples from Canada's National Forest Inventory (Hermosilla et al., 2024). Descriptive metrics provide information on spectral, geographic, climatic, and topographic characteristics. Initial annual tree species classifications were subjected to a time series post-classification process using the forward-backward Hidden Markov Model to improve the temporal consistency of tree species transitions within the time series. Assessment of the annual species maps using independent validation data resulted in an overall accuracy of 86.1% ± 0.14% (95%-confidence interval). These data allow consistent comparison of trends and rates of change in tree species composition nationally and across regions using a common time frame, spatial resolution, and analytical approach.Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Bater, C.W., Hobart, G.W., 2024. Characterizing long-term tree species dynamics in Canada's forested ecosystems using annual time series remote sensing data. Forest Ecology and Management, 122313. https://doi.org/10.1016/j.foreco.2024.122313 (Hermosilla et al. 2024)