USFS - Forest Inventory and Analysis - Trees (Public Lands)

Métadonnées uniquement
Dernière version Publié par United States Geological Survey le août 31, 2016 United States Geological Survey
Accueil:
http://www.fia.fs.fed.us/
Date de publication:
31 août 2016
Licence:
CC0 1.0

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Description

The mission of FIA is to determine the extent, condition, volume, growth, and use of trees of timber on the Nation's forest land. FIA is the only program that collects, publishes, and analyzes data from all ownerships of forest land in the United States (Smith 2002). Throughout the 80-year history of the program, inventories have been conducted by a number of geographically dispersed FIA work units. Currently, the national FIA program is implemented by four regionally distributed work units that are coordinated by a National Office in Washington, DC. The four FIA work units are named by the Research Station in which they reside. They are defined as Pacific Northwest Research Station (PNWRS), Northern Research Station (NRS), Rocky Mountain Research Station (RMRS), and Southern Research Station (SRS). NRS was formed from the merger of North Central Research Station (NCRS) and Northeastern Research Station (NERS). Some data items still retain these designations. This iteration of species occurrences contains 18,134,896 records, as of 2014-12-05.

Versions

Le tableau ci-dessous naffiche que les versions publiées de la ressource accessibles publiquement.

Comment citer

Les chercheurs doivent citer cette ressource comme suit:

Miles P (2015): USFS - Forest Inventory and Analysis - Trees (Public Lands). v1.0. United States Geological Survey. Dataset/Metadata. https://bison.usgs.gov/ipt/resource?r=usfs-fia-trees-public-lands&v=1.0

Droits

Les chercheurs doivent respecter la déclaration de droits suivante:

L’éditeur et détenteur des droits de cette ressource est United States Geological Survey. En vertu de la loi, léditeur a abandonné ses droits par rapport à ces données et les a dédié au Domaine Public (CC0 1.0). Les utilisateurs peuvent copier, modifier, distribuer et utiliser ces travaux, incluant des utilisations commerciales, sans aucune restriction.

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Mots-clé

Metadata; Forest Inventory and Analysis; inventory database; user manual; user guide; monitoring

Données externes

Les données de la ressource sont disponibles dans dautres formats

Forest Inventory Data Online (FIDO) http://apps.fs.fed.us/fia/fido/index.html UTF-8 database

Contacts

Patrick Miles
  • Auteur ●
  • Créateur ●
  • Personne De Contact
  • Research Forester, National Database Manager
USFS Forest Inventory & Analysis
  • Northern Research Station, 1992 Folwell Ave.
55108 St. Paul
Minnesota
US
  • +1 651-649-5146
Elizabeth Sellers
  • Fournisseur Des Métadonnées
  • Technical Information Specialist - Biology
United States Geological Survey (USGS)
  • 12201 Sunrise Valley Drive, Mailstop 302
20192 Reston
Virginia
US
  • +1 703 648 4385
Barbara M. O'Connell
  • Auteur
  • Forester
Forest Inventory and Analysis Program, US Forest Service
  • Northern Research Station
Newtown Square
Pennsylvania
US
Elizabeth B. LaPoint
  • Auteur
  • Forester
Monitoring and Assessment Program, US Forest Service
  • Northern Research Station
Durham
New Hampshire
US
Jeffrey A. Turner
  • Auteur
  • Forester
Forest Inventory and Analysis Program, US Forest Service
  • Southern Research Station
Knoxville
Tennessee
US
Ted Ridley
  • Auteur
  • IT specialist
Forest Inventory and Analysis Program, US Forest Service
  • Southern Research Station
noxville
Tennessee
US
Scott A. Pugh
  • Auteur
  • Forester
Forest Inventory and Analysis Program, US Forest Service
  • Northern Research Station
Houghton
Michigan
US
Andrea M. Wilson
  • Auteur
  • Forester
Interior West Forest Inventory and Analysis Program, US Forest Service
  • Rocky Mountain Research Station
Ogden
Utah
US
Karen L. Waddell
  • Auteur
  • Forester
Resource Monitoring and Assessment Program, USDA Forest Service
  • Pacific Northwest Research Station
Portland
Oregon
US
Barbara L. Conkling
  • Auteur
  • Research Assistant Professor
North Carolina State University
  • Department of Forestry and Environmental Resources
Raleigh
North Carolina
US
Derek Masaki
  • Processeur
  • Geographer
United States Geological Survey (USGS)
  • 12201 Sunrise Valley Drive, Mail Stop 302
20192 Reston
Virginia
US
  • +1 (703) 648-4365

Couverture géographique

Alaska, Hawaii, and the lower 48 states.

Enveloppe géographique Sud Ouest [17,17, -168,2], Nord Est [72,12, -64,88]

Couverture taxonomique

Trees species of interest (timber, species of concern, invasive).

Kingdom Plantae (plants)

Couverture temporelle

Date de début / Date de fin 1968-01-01 / 2015-01-01

Données sur le projet

Pas de description disponible

Titre US Forest Service Forest Inventory and Analysis Program
Financement US Farm Bill
Description du domaine détude / de recherche These are areas that were established by Congress during the RARE II process or in other bills. They can be/have been "released" by Congress at a future date, but until then are managed by the agency as wilderness.
Description du design The current national standard FIA plot design was originally developed for the Forest Health Monitoring program (Scott and others 1993). It was adopted by FIA in the mid-1990s and used for the last few periodic inventories and all annual inventories. The standard plot consists of four 24.0-foot radius subplots (approximately 0.0415 or 1/24 acre), on which trees 5.0 inches and greater in diameter are measured. Within each of these subplots is nested a 6.8-foot radius microplot (approximately 1/300th acre) on which trees smaller than 5.0 inches in diameter are measured. A core optional variant of the standard design includes four "macroplots," each with a radius of 58.9 feet (approximately 1/4 acre) that originate at the centers of the 24.0-foot radius subplots. Prior to adoption of the current plot design, a wide variety of plot designs were used. Periodic inventories might include a mixture of designs, based on forest type, ownership, or time of plot measurement. In addition, similar plot designs (e.g., 20 BAF variable-radius plots) might have been used with different minimum diameter specifications (e.g., 1-inch versus 5-inch).

Les personnes impliquées dans le projet:

Barbara O'Connell
  • Curateur Des Données

Méthodes déchantillonnage

To use the FIADB effectively, users should acquire a basic understanding of FIA sampling and estimation procedures. Generally described, FIA uses what may be characterized as a three-phase sampling scheme. Phase 1 (P1) is used for stratification, while Phase 2 (P2) consists of plots that are visited or photo-interpreted. A subset of Phase 2 plots are designated as Phase 3 (P3) plots (formerly known as Forest Health Monitoring [FHM] plots) where additional health indicator attributes are collected.

Etendue de létude the fifty United States, on an annual basis as funding allows.
Contrôle qualité In the past, FIA provided approximate coordinates for its periodic data in the FIADB. These coordinates were within 1.0 mile of the exact plot location (this is called fuzzing). However, because some private individuals own extensive amounts of land in certain counties, the data could still be linked to these owners. In order to maintain the privacy requirements specified in the amendments to the Food Security Act of 1985, up to 20 percent of the private plot coordinates are swapped with another similar private plot within the same county (this is called swapping). This method creates sufficient uncertainty at the scale of the individual landowner such that privacy requirements are met. It also ensures that county summaries and any breakdowns by categories, such as ownership class, will be the same as when using the true plot locations. This is because only the coordinates of the plot are swapped - all the other plot characteristics remain the same. The only difference will occur when users want to subdivide a county using a polygon. Even then, results will be similar because swapped plots are chosen to be similar based on attributes such as forest type, stand-size class, latitude, and longitude (each FIA work unit has chosen its own attributes for defining similarity).

Description des étapes de la méthode:

  1. For most user applications, such as woodbasket analyses and estimates of other large areas, fuzzed and swapped coordinates provide a sufficient level of accuracy. However, some FIA customers require more precision of plot locations in order to perform analyses by user-defined polygons and for relating FIA plot data to other map-based information, such as soils maps and satellite imagery. In order to accommodate this need, FIA provides spatial data services that allow most of the desired analyses while meeting privacy requirements. The possibilities and limitations for these types of analyses are case-specific, so interested users should contact their local FIA work unit for more information.

Métadonnées additionnelles