The Forest Inventory and Analysis (FIA) research program has been in existence since mandated by Congress in 1928. FIA's primary objective is to determine the extent, condition, volume, growth, and depletion of timber on the Nation's forest land. Before 1999, all inventories were conducted on a periodic basis. The passage of the 1998 Farm Bill requires FIA to collect data annually on plots within each State. This kind of up-to-date information is essential to frame realistic forest policies and programs. Summary reports for individual States are published but the Forest Service also provides data collected in each inventory to those interested in further analysis. Data is distributed via the FIA DataMart in a standard format. This standard format, referred to as the Forest Inventory and Analysis Database (FIADB) structure, was developed to provide users with as much data as possible in a consistent manner among States. A number of inventories conducted prior to the implementation of the annual inventory are available in the FIADB. However, various data attributes may be empty or the items may have been collected or computed differently. Annual inventories use a common plot design and common data collection procedures nationwide, resulting in greater consistency among FIA work units than earlier inventories. Links to field collection manuals and the FIADB user's manual are provided in the FIA DataMart.

Context

US Forest Service Forest Inventory and Analysis National Program.

The Forest Inventory and Analysis (FIA) Program of the U.S. Forest Service provides the information needed to assess America's forests.

https://www.fia.fs.fed.us/

Content

As the Nation's continuous forest census, our program projects how forests are likely to appear 10 to 50 years from now. This enables us to evaluate whether current forest management practices are sustainable in the long run and to assess whether current policies will allow the next generation to enjoy America's forests as we do today.

FIA reports on status and trends in forest area and location; in the species, size, and health of trees; in total tree growth, mortality, and removals by harvest; in wood production and utilization rates by various products; and in forest land ownership.

The Forest Service has significantly enhanced the FIA program by changing from a periodic survey to an annual survey, by increasing our capacity to analyze and publish data, and by expanding the scope of our data collection to include soil, under story vegetation, tree crown conditions, coarse woody debris, and lichen community composition on a subsample of our plots. The FIA program has also expanded to include the sampling of urban trees on all land use types in select cities.

For more details, see: https://www.fia.fs.fed.us/library/database-documentation/current/ver70/FIADB%20User%20Guide%20P2_7-0_ntc.final.pdf

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Acknowledgements

https://www.fia.fs.fed.us/

https://cloud.google.com/blog/big-data/2017/10/get-to-know-your-trees-us-forest-service-fia-dataset-now-available-in-bigquery

FIA is managed by the Research and Development organization within the USDA Forest Service in cooperation with State and Private Forestry and National Forest Systems. FIA traces it's origin back to the McSweeney - McNary Forest Research Act of 1928 (P.L. 70-466). This law initiated the first inventories starting in 1930.

Banner Photo by @rmorton3 from Unplash.

Inspiration

Estimating timberland and forest land acres by state.

https://cloud.google.com/blog/big-data/2017/10/images/4728824346443776/forest-data-4.png" alt="enter image description here"> https://cloud.google.com/blog/big-data/2017/10/images/4728824346443776/forest-data-4.png

This archive publishes and preserves short and long-term research data collected from studies funded by:Forest Service Research and Development (FS R&D)Joint Fire Science Program (JFSP)Aldo Leopold Wilderness Research Institute (ALWRI)Of special interest, our collection includes data from a number of Forest Service Experimental Forests and Ranges.Each archived data set (i.e., "data publication") contains at least one data set, complete metadata for the data set(s), and any other documentation the researcher deemed important to understanding the data set(s). The data catalog entries present the metadata and a link to the data. In some cases the data link is to a different archive.

The archive found in the Zenodo repository contains the most recent and historical (dating back to 2018) extracts of the entire National Forestry Database. This includes data pertaining to: wood supply, forest fires, forest products, silviculture, jurisdictional revenues, insect defoliation and pest control.

A single point of access for data collected and managed by the United States Forest Service. Users can use the Geospatial Data Discovery Tool to access data about individual forests or grasslands or about an area of interest that they specify on the national map. Users can find and download datasets by topic area or theme or find and use map services published by the Agency.

The Database on Forest Disturbances in Europe (DFDE) allows searching historic information about forest damage caused by wind, fire, animals, and diseases. The DFDE has been elaborated by Alterra and European Forest Institute. The dataset shared here contains a subset of the data for occurrence of biotic agents only, i.e., mammals, insects and fungi. Abiotic agents are not included in this dataset. Also full information on the extent of damage has been excluded. The dataset here has been georeferenced automatically using GeoLocate and the geographic coordinates have been checked only where so indicated. Please report corrections to the resource contact. Look for www.efi.int to access the entire database. The content of the database has been last updated in 2002. Future updates are possible -- please indicate interest in such project.

The FS National Forests Dataset (US Forest Service Proclaimed Forests) is a depiction of the boundaries encompassing the National Forest System (NFS) lands within the original proclaimed National Forests, along with subsequent Executive Orders, Proclamations, Public Laws, Public Land Orders, Secretary of Agriculture Orders, and Secretary of Interior Orders creating modifications thereto, along with lands added to the NFS which have taken on the status of 'reserved from the public domain' under the General Exchange Act. The following area types are included: National Forest, Experimental Area, Experimental Forest, Experimental Range, Land Utilization Project, National Grassland, Purchase Unit, and Special Management Area.Metadata and Downloads - https://data.fs.usda.gov/geodata/edw/datasets.php?xmlKeyword=Original+Proclaimed+National+Forests

Discerning whether certain timber species were harvested from natural forests versus less restricted planted forests can help ascertain the legality of wood products that enter the global market. However, readily available global planted forest data to the species level have been scarce. We confronted the need for such data by developing a two-pronged dataset, consisting of ‘polygon’ and ‘non-polygon’ location-based data, collectively, Planted Forest Timber Data. We obtained the polygon data from the World Resources Institute’s Spatial Database of Planted Trees v2.0, extracting data specific to traded timber species. We derived the non-polygon data from peer-reviewed literature and government documents. The polygon dataset encompasses 27 countries and 253 species and the non-polygon dataset spans 91 countries and 447 species. The polygon data are stored among 27 geopackages, one for each country. Each summarized row of polygon data contains up to 13 possible fields. The non-polygon data..., The Planted Forest Timber Data is composed of two types of information, polygon and non-polygon data, divided into two distinct living datasets. The polygon dataset includes visual delineations of the planted forest boundaries. These data are organized into GeoPackages with an accompanying summary table that links the collective data together. The planted forest plots in the non-polygon dataset do not have delineated boundaries, but still have species information at least at the country level. The polygon dataset is composed of a subset of the Spatial Database of Planted Trees v2.0, specifically the portion of data that pertained to tree species commonly associated with the timber trade. We used government Lacey Act data and the Botanic Gardens Conservation International’s Working List of Commercial Timber Species to identify and isolate the species that qualify as timber. We also calculated the area of each planted forest plot. We assembled the non-polygon dataset by querying scientifi..., , # Global planted forest data for timber species

https://doi.org/10.5061/dryad.2280gb626

Planted Forest Timber Data (PFTD) consists of a two-pronged living dataset of polygon and non-polygon data. These data include information on planted forest plots for timber to the species level along with their locations at the country level.

Description of the data and file structure

The polygon data are available as 27 GeoPackages (1 per country) in the folder ‘PFTD_Pol.zip’.

The polygon and non-polygon datasets each consist of the following four files:

(1) Polygon data (PFTD_PolSum.tsv) OR non-polygon data (PFTD_NonPol.tsv) providing all data collected on the different planted forest species from the different countries.

(2) Polygon data key (PFTD_PolSumKey.tsv) OR non-polygon data key (PFTD_NonPolKey.tsv) explaining the data provided, including descriptions of terms.

(3) Species-country validation for the polygon data (PFTD_PolSumVal.tsv) OR ...

The Spatial Database of Planted Trees (SDPT) was compiled by Global Forest Watch using data obtained from national governments, non-governmental organizations and independent researchers. Data were compiled for 82 countries around the world, with most country maps originating from supervised classification or manual polygon delineation of Landsat, SPOT or RapidEye satellite imagery. The category of “planted trees” in the SDPT includes forest plantations of native or introduced species, established through deliberate human planting or seeding. Sometimes called “tree farms,” these forests infuse the global economy with a constant stream of lumber for construction, pulp for paper and fuelwood for energy. The data set also includes agricultural tree crops like oil palm plantations, avocado farms, apple orchards and even Christmas tree farms. The SDPT makes it possible to identify planted forests and tree crops as being separate from natural forests and enables changes in these planted areas to be monitored independently from changes in global natural forest cover.The SDPT contains 173 million hectares of planted forest and 50 million hectares of agricultural trees, or approximately 82% of the world’s total planted forest area in 2015 (FAO 2015). The SDPT was compiled through a procedure that included cleaning and processing each individual data set before creating a harmonized attribute table. Data is available for download in all countries except China and Papua New Guinea. If you are aware of any additional plantations data, please let us know by filling out this form.

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.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService For complete information, please visit https://data.gov.

The European Primary Forest Database is a curated collection of (sub)-national and regional datasets on the distribution of primary forests in Europe. It contains geographical (GIS) data (point, polygons) on the location and boundaries of documented primary and old-growth forests in Europe

Forest cover and change analyzed for countries and biomes for the WWF Deforestation Fronts report (2020)

The Trails Layer is designed to provide information about National Forest System trail locations and characteristics to the public. When fully realized, it will describe trail locations, basic characteristics of the trail, and where and when various trail uses are prohibited, allowed and encouraged. Because the data readiness varies between Forests, each Forest will approve which level of attribute subset are published for that forest. Forests can provide no information or one of three attribute subsets describing trails. The attribute subsets include TrailNFS_Centerline which includes the location and trail name and number; TrailNFS_Basic which adds information about basic trail characteristics; and TrailNFS_Mgmt which adds information about where and when users are prohibited, allowed, and encouraged. When a Forest chooses to provide the highest attribute subset, TrailNFS_Mgmt, these attributes must be consistent with the Forest's published Motorized Vehicle Use Map (MVUM). Metadata for the individual Forest feature classes used to compile this feature class are available at data.fs.usda.gov/geodata/edw/dir_trails.php. Metadata

This archive publishes and preserves short and long-term research data collected from studies funded by: