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Forest

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    The **portrait of forest cover in Québec** 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).**

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    NFIS Project Office. This Web services are for forest change products that represents the first wall-to-wall characterization of wildfire and harvest in Canada at a spatial resolution commensurate with human impacts. The information outcomes represents 25 years of stand replacing change in Canada's forests derived from a single consistent spatially-explicit data source and derived in a fully automated manner.

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    __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.); * nature of the terrain (peatlands, gravel, etc.); * land types (peatlands, gravels, etc.); * territorial subdivisions; * hydrography; * transport network and bridges; * topography (level curves); * topography (level curves); * slope classes; * class of defoliation.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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    __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://mrnf.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).**

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    __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).**

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    __The link: *Access the data directory* is available in the section*Dataset Description Sheets; Additional Information*__. The layer of **ecological planning units (UPE) ** constitutes the territorial base at the base of the ecoforest inventory process in southern Quebec (IEQM). It was created and then integrated as part of the current inventory (fifth IEQM). It integrates concepts that are both administrative (forest region) and ecological (ecological region). More precisely, the division is done on an ecological basis within each of the forest regions. It is on this basis that the activities of the IEQM are planned. Each of the layers included in the IEQM monitoring datasets reports on what has been achieved as part of the current inventory. We are talking here about aerial photography, mapping, terrestrial sampling of temporary sample plots, and compilation activities. Each year, new territories are added to each layer to reflect the progress of the work.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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    __The link: *Access the data directory* is available in the section*Dataset Description Sheets; Additional Information*__. **Slope classes** express the slope of the terrain in a relatively homogeneous area with a minimum area of 0.5 ha. They are generated from a numerical model that groups terrain slopes into six classes: + Zero of 0-3% + Low of 4-8% + Mild of 9-15% + Moderate of 16-30% + Strong of 31-40% + Strong of 31-40% + Steep of 41% or more These data cover almost the entire territory of Quebec south of the 52nd parallel. This map is presented in two groups: grouping at the provincial level and grouping at the scale of 1/250,000. Each grouping represents an assembly of sheets produced on a scale of 1/20,000. The datasets were originally produced in 2005 and then updated in 2006. In 2010, they were enhanced with slope information for the northernmost part. No updates have been made since then. __For more information, please refer to the document: [Products presenting the concept of slope] (https://diffusion.mffp.gouv.qc.ca/Diffusion/DonneeGratuite/Foret/DONNEES_FOR_ECO_SUD/Classes_pente/01-Documentation/Produits_presentant_la_notion_de_pente.pdf) __ __ ⚠️ Notes: __ The numerical terrain model is prepared from the level curves and altitude points that come from the topographic map at the scale of 1/20,000 and 1/50,000 from the Quebec Topographic Database (BDTQ). This geographic database was produced in 2010 and has never been updated. __ 🕰️ Former names:__ Numerical slope classes, Slope class**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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    __The link: * Access the data directory* is available in the section*Dataset description sheets; Additional information*__. Ecoforest maps in PDF format are available at a scale of 1/20,000 and cover Quebec territory approximately up to the 52nd parallel. Each map covers an average area of approximately 250 km2 and presents forest information for the territory concerned. Its accuracy is approximately 10 meters. These maps are an image of the current ecoforest map for the corresponding year. __Maps 2021, 2022, 2023 and 2024__ The maps 2021, 2022, 2023, as well as those of 2024 are produced from the up-to-date ecoforest map of the corresponding year. It represents the result of the photo-interpretation of aerial photographs taken during the 4th and 5th ecoforestry inventories of southern Quebec to which were added natural disturbances (fires, epidemics, windfalls, etc.) and forest interventions (harvesting and reforestation) carried out in the public forest following the year in which the picture was taken. According to the maps, data using the forest stand inventory approach (AIPF) is included when available for a complete sheet. Main components: type of vegetation (forest species group, density class, class of density, class of height, age class, etc.) or type of AIPF vegetation (detailed forest species, density (%), height (m), age class, etc.); slope class; class of slope; nature of the terrain (peatlands, height class, age class, etc.); topography (level curves); fragmentation. __2019 and 2020 maps__ The 2019 maps, as well as those of 2020, are produced from up-to-date ecoforest maps of the corresponding year. They represent the result of the photo-interpretation of aerial photographs taken during the 4th and 5th ecoforestry inventories of southern Quebec to which were added natural disturbances (fires, epidemics, windfalls, etc.) and forest interventions (harvesting and reforestation) carried out in the public forest following the year in which the photo-interpretation of aerial photographs from the 4th and 5th ecoforestry inventories of southern Quebec were taken. An update is then carried out taking into account natural disturbances (fires, epidemics, windfalls, etc.) and forest interventions (harvesting and reforestation) carried out in public forests. The information presented corresponds to the current ecoforest map of 2019 or 2020 as the case may be. On each of the maps, the name of the stands is expressed by the group of species. Main components: type of vegetation (forest species, density, height, height, age class, etc.); slope class; nature of the terrain (peatlands, gravel, etc.); hydrography (lakes, rivers, streams, streams, swamps, etc.); transport network and swamps, etc.); transport network and bridges; topography (level curves); fragmentation. __Maps 2015__ The 2015 maps are produced from the photo-interpretation of aerial photographs from the 3rd and 4th ecoforest inventories of southern Quebec. An update is then carried out taking into account natural disturbances (fires, epidemics, windfalls, etc.) and forest interventions (cutting and planting) carried out in public forests. The information presented corresponds to the 2015 updated ecoforest map. MAP FOR PRINTING (GEOREFERENCED)**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

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    __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 for predicting 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 the gross commercial volume of trees - Method and use”] (https://mrnf.gouv.qc.ca/nos-publications/modele-prediction-hauteur-volume/). __ 📣 Recommendation of the Forest Inventory 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).**

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    __The link: *Access the data directory* is available in the section*Dataset Description Sheets; Additional Information*__. The original ecoforest map of the third inventory is made from aerial photographs as well as several other products to inform the photointerpreter (forest interventions, information concerning natural disturbances, data from previous inventories, etc.). This map shows the various forest and ecological characteristics of the forest territory and corresponds to the forest profile up to the year in which the aerial photograph was taken. To learn more about ecoforest stratification parameters, simply consult Chapter 3 of the document [*Ecoforest Mapping Standards — Third Ecoforest Inventory (MRNF, 2009) *] (https://mrnf.gouv.qc.ca/documents/forets/inventaire/norme-cartographie-ecoforestiere.pdf). __Note that__ the original ecoforest map of the third inventory has been complete since 2003 and that no new cartographic information has been added since then. Note, however, that improvements were made to the dataset format in 2025.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**