Note: This map service contains generalized NFS Land Unit boundaries to help with map service performance. Data in this service is not as accurate as the Automated Lands Program published data and will not accurately represent the boundary.National Forest System Land Unit original accurate data can be downloaded from here.An NFS Land Unit is nationally significant classification of Federally owned forest, range, and related lands that are administered by the USDA Forest Service or designated for administration through the Forest Service. NFS Land Unit types include proclaimed national forest, purchase unit, national grassland, land utilization project, research and experimental area, national preserve, and other land area. Each NFS Land Unit is identified by a National Forest Fiscal Identifier (NFFID) code, a unique 4-digit number that is used for accounting purposes.

The El Pilar Project has been conducting research at El Pilar, Belize and Guatemala since 1993, and was founded on a base of survey work that goes back to 1983. This unusual archaeological program recognizes the present environment as a part of the ancient Maya past. Our mission is the preservation and conservation of endangered resources through local and international education. Addressing tensions between culture and nature, we use the past as a reference to build a responsible future. Weaving together traditional knowledge and practice with scientific inquiry and interpretation, we promote a deeper awareness of heritage through local partnership.

The University of California Santa Barbara (UCSB) Maya Forest GIS is an essential tool to organize and use the numerous geographic resources involved in our studies, and provide reliable datasets for the project.

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 Forest Map of Spain (MFE) is the basic forest mapping at the state level, which includes the distribution of Spanish forest ecosystems. It is a project led by the General Directorate of Biodiversity, Forests and Desertification using a working methodology based on photointerpretation, with field verification. The MFE is a fundamental component of the Spanish Inventory of Natural Heritage and Biodiversity. The MFE provides detailed and homogeneous vector information for the entire Spanish territory of the structural type or main use of each tesela, the degree of coverage and the main mapped tree species, among others. It constitutes the cartographic basis of the National Forestry Inventory (IFN), and therefore, analogous to the IFN, has a continuous character and a periodicity of updating at least ten years. The most up-to-date Spanish Forest Map is prepared by documenting the provicies of the previous MFE50 with the new provinces that are being generated from the MFE25.

Forests cover large areas of Canada but only some of these forests are actively managed. The Map of Forest Management in Canada provides a generalized classification of forest management in Canada, including: protected areas, Treaty/Settlement Lands (including Treaty Lands identified in Final Agreements, Land Claim Agreements and Settlements), Indian Reserves, other federal reserves (including military training areas), provincial and territorial reserves and restricted use areas, private lands, short- and long-term Crown forest tenure areas and areas with no current Crown timber dispositions. The Managed Forest Map of Canada dataset provides a wall-to-wall classification of lands in Canada. It does not differentiate areas of forest from non-forest. The Managed Forest Map of Canada differs from maps defining the area designated as “managed forest” for greenhouse gas inventory reporting purposes and does not replace those maps. Instead, the Managed Forest Map of Canada shows areas that are currently managed, as of June 2017, and provides generalized management type classification for those areas. Collaborating agencies plan to update the dataset periodically as needed, and remain open to receiving advice from experts concerning refinement priorities for future versions.

The Forest Service National Maps experience page is designed to distribute and deliver maps to the Forest Service and public. Maps cover Forest Service lands. Map series include National; Regional; Admin; Forest; Ranger District and 24K or better known as FSTopo, and our historical product FSTopo Legacy.

This dataset provides a comparison of forest extent agreement from seven remote sensing-based products across Mexico. These satellite-derived products include European Space Agency 2020 Land Cover Map for Mexico (ESA), Globeland30 2020 (Globeland30), Commission for Environmental Cooperation 2015 Land Cover Map (CEC), Impact Observatory 2020 Land Cover Map (IO), NAIP Trained Mean Percent Cover Map (NEX-TC), Global Land Analysis and Discovery Global 2010 Tree Cover (Hansen-TC), and Global Forest Cover Change Tree Cover 30 m Global (GFCC-TC). All products included data at 10-30 m resolution and represented the state of forest or tree cover from 2010 to 2020. These seven products were chosen based on: a) feedback from end-users in Mexico; b) availability and FAIR (findable, accessible, interoperable, and replicable) data principles; and c) products representing different methodological approaches from global to regional scales. The combined agreement map documents forest cover for each satellite-derived product at 30-m resolution across Mexico. The data are in cloud optimized GeoTIFF format and cover the period 2010-2020. A shapefile is included that outlines Mexico mainland areas.

We present a forest management map for Europe. Forest is classified in 5 distinct forest management classes: unmanaged forest, close-to-nature forestry, combined objective forestry, intensive forestry and very intensive forestry. Data on disturbance area, disturbance frequency, forest age, forest age evenness, fast-growing tree species and primary forest is used to classify forest.

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).**

This is the study area associated with the project: “Status and Trends of Deciduous Communities in the Bighorn Mountains”. The aim of the study is to assess the current trends of deciduous communities in the Bighorn National Forest in north-central Wyoming. The data here represents phase I of the project, completed in FY2017. The USGS created a synthesis map of coniferous and deciduous communities in the Bighorn Mountains of Wyoming using a species distribution modeling approach developed in the Wyoming Landscape Conservation Initiative (WLCI) (Assal et al. 2015). The modeling framework utilized a number of topographic covariates and temporal remote sensing data from the early, mid and late growing season to capitalize on phenological differences in vegetation types. We used the program RandomForest in the R statistical program to generate probability of occurrence models for deciduous and coniferous vegetation. The binary maps were combined into a synthesis map using the procedure from Assal et al. 2015. In Phase II of this project (to be completed in FY2018 and 2019), the USGS will conduct a preliminary assessment on the baseline condition of riparian deciduous communities. This will be a proof-of-concept study where the USGS will apply a framework used in prior research in upland aspen and sagebrush communities to detect trends in riparian vegetation condition from the mid-1980s to present. Literature Cited Assal et al. 2015: https://doi.org/10.1080/2150704X.2015.1072289

This is a spatial layer showing Ministry of Forests Map Notation Polygons. These are polygonal spatial representation for a notation on the Forest Atlas which records the area of interest of other government agencies and individuals

An area encompassing all the National Forest System lands administered by an administrative unit. The area encompasses private lands, other governmental agency lands, and may contain National Forest System lands within the proclaimed boundaries of another administrative unit. All National Forest System lands fall within one and only one Administrative Forest Area.Downloads available: https://data.fs.usda.gov/geodata/edw/datasets.php?xmlKeyword=Administrative+Forest+Boundaries

Region 5 Forest Health Treatment Priority MappingThe number of acres of forests burning at high severity in recent years, combined with the recent drought-induced tree mortality event of 2015-2016 have more than ever highlighted unsustainable forest health conditions in California. Urgency for implementing preventative landscape-level tree density and fuels reduction treatments to restore and maintain forest resiliency to wildfires and drought (bark beetles) has now become an emergency. To accomplish meaningful landscape level treatments, land managers must be able to prioritize areas of highest risk that are conducive to project implementation. Forest Health Protection has analyzed a variety of readily available corporate GIS data sets to identify areas that are considered most at risk to high levels of bark beetle-caused tree mortality, have a high likelihood of experiencing stand replacing wildfire and are accessible and appropriate for mechanical thinning. This product has been used on several R5 National Forests for 5-year planning, identifying cross collaboration, all lands opportunities, and guiding layout of new projects using the Farm Bill insect and disease treatment Categorical Exclusion authority under NEPA. This webmap illustrates areas deemed at high risk of tree mortality, due to bark beetles, on all lands throughout the state. These same areas should also be considered at a risk to high-severity wildfire due to overstocked conditions and generally high fuel loading from past tree mortality. The webmap is suitable for landscape-level planning, rather than stand-level planning, as the data used to identify priority treatment areas are not sufficiently detailed for use at the stand level. Ground verification of areas identified in the map as priorities for treatment is highly recommended. Areas mapped outside of USDA National Forest System lands may not reflect recent management activities. Basic consideration for classification as high priority for treatment required that areas:Have not suffered moderate or high severity wildfire since at least 1998;Have not been thinned by the USDA Forest Service since at least 2005;Have not experienced stand-replacing disturbance, owing to clear-cut or natural mortality, since at least 2005;Contain stands with 60% or higher relative stand density;Are dominated by trees with diameter at breast height (DBH) of 11” or more.Lands that met the basic conditions were then classified as high priority for treatment based on the species composition and density of the stands that they contain.Highest priority was assigned to locations with stands that contain:Pines principally, and have stand density index (SDI) of 220 or higher; OR Fir-dominated mixed conifer and white fir, have SDI 270 or higher, and historically contained mostly pines; OR Pine-dominated mixed conifers, and have SDI 270 or higher.Pine-dominated stands are typically associated with drier sites and often experience higher levels of tree mortality associated with high stand density, bark beetles, and drought.Second priority was assigned to locations with stands that:Contain fir-dominated mixed conifer and white fir, have SDI 330 or higher;Were not classified as highest priority.Fir-dominated stands found on more mesic sites can also experience elevated tree mortality associated with high stand density, bark beetles, and drought, though generally at a lower level than pine-dominated stands or fir-dominated stands growing on historically pine-dominated sites.Download the thinning priority layers displayed in this WebMap. In addition to what is displayed on this webmap, the download also includesThird priority including smaller DBH of 6" - 11" 50% relative stand density (dependent on dominant species)Regional Dominance Type for each priority pixel

Contained within the 3rd Edition (1957) of the Atlas of Canada is a map that shows the portions of land in four condensed maps which illustrate the kind of forest maps that were being prepared from air photographs with a minimum of groundwork by the Forestry Branch of the Department of Northern Affairs and National Resources in the 1950s. Such maps not only show more detail than can be shown on a general forest regions map but also enable sample areas to be located which, when investigated on the ground, provide estimates of timber volumes. These maps are also of value to those responsible for forest protection and the suppression of forest fires. The first of the maps reproduced here illustrates an area of almost continuous forest in the rough terrain of the Alberta foothills (from sheet 82 0/14 - Marble Mountain). The second shows forested areas broken only by a few scattered farms (from sheet 31 0/10 - Mitchinamecus River, Quebec). The third shows an area almost equally divided between farm and forest (from sheet 21 J/7 - Napadogan, New Brunswick) The remaining map represents a farming district with scattered woodlots (from sheet 31 H/1 - Memphremagog, Quebec).

Using the national GIS cadastral map of the Ministry of Agriculture as the reference, the land cadastral information corresponding to the national forest management area and marking the percentage based on the estimated area involved. During the use of the map data, please note: 1. Some plot numbers may overlap different forest management areas, and in order to separately indicate the percentage of the area within each forest management area, the features may be duplicated; plot numbers within the same forest management area are not duplicated. 2. The national GIS cadastral map was referenced and processed by the National Land Surveying and Mapping Center with the Taiwan general electronic map for alignment to facilitate reference with the topography and land features. If it involves land rights processing, it still needs to revert to the original cadastral data of each local land office. 3. The national forest management area mainly consists of land registered by the Forestry Bureau and the Conservation and Natural Resources Administration as the managing authority, including some unregistered land that was included in the forest management area earlier. Due to frequent changes in cadastral data, if the range map data is not updated, it can be judged based on the owner registration of the land as described above (the managing authority is the "Forestry Bureau and the Conservation and Natural Resources Administration" or the "Forest Bureau of the Council of Agriculture" before restructuring) to determine whether it still belongs to the national forest management area.

The El Pilar Project has been conducting research at El Pilar, Belize and Guatemala since 1993, and was founded on a base of survey work that goes back to 1983. This unusual archaeological program recognizes the present environment as a part of the ancient Maya past. Our mission is the preservation and conservation of endangered resources through local and international education. Addressing tensions between culture and nature, we use the past as a reference to build a responsible future. Weaving together traditional knowledge and practice with scientific inquiry and interpretation, we promote a deeper awareness of heritage through local partnership.

The University of California Santa Barbara (UCSB) Maya Forest GIS is an essential tool to organize and use the numerous geographic resources involved in our studies, and provide reliable datasets for the project.

The data are designed for strategic analyses at a national or regional scale which require spatially explicit information regarding the extent, distribution, and prevalence of the ownership types represented. The data are not recommended for tactical analyses on a sub-regional scale, or for informing local management decisions. Furthermore, map accuracies vary considerably and thus the utility of these data can vary geographically under different ownership patterns.

This interactive web map shows the Experimental Forests and Ranges of the Northern Research Station. This particular map highlights the location of the Bartlett Experimental Forest on the White Mountain National Forest. This web map is part of a storymap, Bartlett Experimental Forest Through the Years: celebrating 90 years of forest management and research.

The global map of forest types provides a spatially explicit representation of primary forest, naturally regenerating forest and planted forest (including plantation forest) for the year 2020 at 10m spatial resolution. The base layer for mapping these forest types is the extent of forest cover of version 1 of the …

FIA Modeled Abundance:�This dataset portrays the live tree mean basal area (square feet per acre) of the species across the contiguous United States. The underlying data publication contains raster maps of live tree basal area for each tree species along with corresponding assessment data. An efficient approach for mapping multiple individual tree species over large spatial domains was used to develop these raster datasets. The method integrates vegetation phenology derived from MODIS imagery and raster data describing relevant environmental parameters with extensive field plot data of tree species basal area to create maps of tree species abundance and distribution at a 250-meter (m) pixel size for the contiguous United States. The approach uses the modeling techniques of k-nearest neighbors and canonical correspondence analysis, where model predictions are calculated using a weighting of nearest neighbors based on proximity in a feature space derived from the model. The approach also utilizes a stratification derived from the 2001 National Land-Cover Database tree canopy cover layer.�This data depicts current species abundance and distribution across the contiguous United States, modeled by using FIA field plot data. Although the absolute values associated with the maps differ from species to species, the highest values within each map are always associated with darker colors. The Little's Range Boundaries show the historical tree species ranges across North America. This is a digital representation of maps by Elbert L. Little, Jr., published between 1971 and 1977. These maps were based on botanical lists, forest surveys, field notes and herbarium specimens.Forest-type Groups:This dataset portrays the forest type group. Each group is a subset of the National Forest Type dataset which portrays 28 forest type groups across the contiguous United States. These data were derived from MODIS composite images from the 2002 and 2003 growing seasons in combination with nearly 100 other geospatial data layers, including elevation, slope, aspect, ecoregions, and PRISM climate data.Harvest Growth:This data shows the percentage of timber that is harvested when compared to the total live volume, at a county-by-county level. Timber volume in forests is constantly in flux, and harvest plays an important role in shaping forests. While most counties have some timber harvest, harvest volumes represent low percentages of standing timber volume.Carbon Harvest:The Carbon Harvest raster dataset represents Mg of annual pulpwood harvested (carbon) by county, derived from the Forest Inventory Analysis in 2016.