The portrait of forest cover in Quebec is an assembly made from the up-to-date ecoforest map of the inventory of southern Quebec and vegetation maps from the northern ecoforest inventory and Northern Quebec. Administrative divisions, forest boundaries and territories where forest management responsibilities and obligations are under the responsibility of the municipal environment are also added. Then, an update is carried out for areas that have a predominant use other than forest, including the road and rail network, energy transmission lines, cultivated land and built environments. The portrait makes it easy to calculate the rate of land use by forests in the territory of a municipality, an unorganized territory, an indigenous territory, an MRC or an administrative region, then to draw up a summary of some main characteristics of the forest.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

__The link: *Access the data directory* is available in the section*Dataset Description Sheets; Additional Information*__. The Directorate of Forest Inventories (DIF) carries out assessments of tree biomass and their carbon content at the scale of ecoforest stands to deepen knowledge on the contribution of forests in the global carbon cycle. This information can be useful in the context of climate change to document the mitigating role played by forests. The resulting product, a database containing a single table entitled “BIOMASSE_CARBONE_PEE_ORI_PROV”, shows the biomass and carbon values of living trees above ground for all productive ecoforest stands 7 m or more in height. The exploitation of the database requires the data from [the original ecoforest map] (https://www.donneesquebec.ca/recherche/dataset/resultats-d-inventaire-et-carte-ecoforestiere) and the establishment of a connection with the information of the polygonal entity class of settlements. The database includes biomass variables converted to carbon stocks, detailing the biomass of wood, bark, branches, and foliage. For a thorough understanding, you can consult the Read Me associated with this product and the publication [“Biomass and carbon forests in southern Quebec - Method and use”] (https://mffp.gouv.qc.ca/nos-publications/biomasse-carbone-forestiers-quebec-meridional/) (MRNF, 2023) which offers additional methodological information.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

__The link: * Access the data directory* is available in the section*Dataset description sheets; Additional information*__. The forest maps in the second inventory are available at a scale of 1/20,000. They cover almost all of the territory south of the 52nd parallel. Each file covers an area of approximately 250 km2. These digital cards correspond to the black and white paper cards with a dimension of 125 cm X 75 cm that have been scanned. They illustrate forest stands. They were prepared from the photo-interpretation of aerial photos on a scale of 1/15,000. Main components • outline of forest stands; • sub-groupings of species in all stands; • type of vegetation (forest species, density, height and stage of development, origin); • age class. • disturbances; • nature of the terrain (peatlands, gravel, etc.); • nature of the terrain (peatlands, gravel, etc.); • land types (peatlands, gravels, etc.); • territorial subdivisions; • territorial subdivisions; • hydrography; • hydrography; • transport network and bridges; • topography (level curves). • topography (level curves). • slope classes; • gravel fields, etc.); • nature of the terrain (peatlands, gravel, etc.); • territorial subdivisions; • territorial subdivisions; • hydrography; • hydrography; • transport network and bridges; • topography (level curves). defoliation;**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

The temporary sample plot is a circular sample unit that covers an area of 400 m2 (the main unit). For each tree, we observe and measure the species, diameter, and stage in relation to other trees, as well as the defoliation and the quality of the stems of deciduous trees and certain pines. In addition, the age and height of three trees are determined. Finally, a survey of the station is carried out. Plot data also includes information about the location of the plots and the sampling plan. These data are acquired as part of the second forest inventory in southern Quebec. They were used in particular to produce forest compilation results used to feed the calculation of forest opportunities in public forests in Quebec. The establishment of these plots took place between 1980 and 1993. This database covers almost all of the territory south of the 52nd parallel of Quebec's public and private forest.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

[forest certification] (https://mffp.gouv.qc.ca/les-forets/amenagement-durable-forets/certification-forestiere/) is a voluntary process by which an accredited and independent registration body recognizes that forest management practices meet pre-established standards for sustainable forest management. Compliance with the requirements of a certification system is assessed by an external auditor. Two forest certification systems are currently used by the forest industry in Quebec: the [Sustainable Forestry Initiative (SFI)] (https://forests.org/fr/) and the [Forest Stewardship Council (FSC)] (https://ca.fsc.org/ca-fr). A management certificate is granted to a forest area and its scope may extend to one or more management units. Forest certification monitoring is limited to public forests managed under the Quebec forest regime.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

__The link: *Access the data directory* is available in the section*Dataset Description Sheets; Additional Information*__. Formerly, forest maps were produced by the Land Survey Department of the Ministry of Lands and Forests. Some of these maps dating from 1924 to 1946 still exist and are carefully preserved in the National Archives of Quebec. The information they contain makes it possible to locate and characterize forest areas in certain regions of Quebec. Color codes were then assigned for each of the following classes: young forests, old forests, burned, logged, rocky, savannas, and colonization. These historical forest maps are available in two digital formats (PDF and TIFF).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

__The link: *Access the data directory* is available in the section*Dataset Description Sheets; Additional Information*__. The polygonal layer of lidar slope classes expresses the slope of the terrain. The slopes are generated from a digital terrain model (DTM) with a resolution of 10 meters. The latter is the result of an aggregation by bilinear interpolation of lidar NCDs at 1 m. The minimum area of the resulting polygons is 0.2 hectares. Lidar digital slopes are divided into 7 classes. • A - Null from [0 to 3]% • B - Low from] 3 to 8]% • C - Soft from] 8 to 15]% • D - Moderate from] 15 to 30]% • E - Strong from] 15 to 30]% • E - Strong from] 30 to 40]% • B - Low from] 3 to 8]% • C - Soft from] 8 to 15]% • D - Moderate from] 15 to 30]% • E - Strong from] 15 to 30]% • E - Strong from] 30 to 40]% • E - Strong from] 30 to 40]% • F - Steep from] 40 to 40]% • F - Steep from] 40 to ∞ [% • S — Summit entirely surrounded by slopes F This map covers the entire territory of the Southern Quebec Ecoforest Inventory (IEQM) and was developed in order to provide stakeholders with the tools they need when applying for financial assistance from the Forest Management Investment Program (PIAF). __We do not recommend using the information in this layer for detailed analysis. __**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

__The link: *Access the data directory* is available in the section*Dataset Description Sheets; Additional Information*__. Two products are available to know the gross commercial volume of a tree according to its diameter at chest height (DHP) and its height. Their contents and the way of using them are different, but they both make it possible to obtain gross commercial volume values per tree. The first product is the LIN3 cubing rate. It is presented in the form of a table where the values of the gross market volume can be extracted directly. These are local rates, i.e. the height used in the general rate equation (volume prediction models) is predicted by height-DHP relationships developed per survey unit. The second product offers increased precision. It is presented in the form of several tables where the values of the gross commercial volume do not appear directly. Rather, the content of these tables is used to apply models to predict the height and gross commercial volume of a tree. Height prediction models are also developed locally at the scale of survey units. The use of the product requires consultation of the document [“Models for predicting the height and gross commercial volume of trees - Method and use”] (https://mffp.gouv.qc.ca/nos-publications/modele-prediction-hauteur-volume/). __ Recommendation of the Forest Inventories Directorate: __ it is preferable to use the models for predicting the height and the gross market volume in the territories where they are available. In the absence of these models, it is still possible to use the LIN3 cubing rate.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

__The link: *Access the data directory* is available in the section*Dataset Description Sheets; Additional Information*__. The Forest Inventory Directorate of the Ministry of Natural Resources and Forests (MRNF) began, in 2021, the production of data that indicates the strength of forest vegetation based on the NBR vegetation index * (Normalized Burn Ratio) *. These data are produced from images from Sentinel-2A/B satellites. The purpose of the layer thus produced is to present a regional portrait, at a given date, of the strength of forest vegetation, at the pixel scale. Before integrating these data into forest planning, it is recommended to plan validation work by photo-interpretation or by means of field visits. It should also be noted that these data are complementary to the other existing data layers (ecoforestry data, fires, harvesting and reforestation, defoliation records from aerial overflights, etc.).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

__The link: * Access the data directory* is available in the section*Dataset description sheets; Additional information*__. The forest maps from the first inventory are available at a scale of 1/20,000. They cover almost all of the territory south of the 52nd parallel. Each file covers an area of approximately 250 km2. These digital maps correspond to the black and white paper maps with a dimension of 125 cm X 75 cm that have been digitized and georeferenced. They illustrate forest stands. They were prepared from the photo-interpretation of aerial photos on a scale of 1/15,000. Main components: •outline of forest stands; • type of vegetation (forest species, density, height and stage of development, origin); • disturbances; • nature of the terrain (peatlands, gravel, etc.); • territorial subdivisions; • territorial subdivisions; • hydrography (lakes, rivers, streams, streams, swamps, etc.); • disturbances; • nature of the terrain (peatlands, gravel, etc.); • territorial subdivisions; • hydrography (lakes, rivers, streams, swamps, etc.); • topography (level curves). The units of measurement shown on the maps in the first inventory are those of the English imperial system of measurement.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**