USFS - Forest Inventory and Analysis

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Описание

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.

Версии

В таблице ниже указаны только опубликованные версии ресурса, которые доступны для свободного скачивания.

Как оформить ссылку

Исследователи должны дать ссылку на эту работу следующим образом:

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

Права

Исследователи должны соблюдать следующие права:

Публикующей организацией и владельцем прав на данную работу является United States Geological Survey. Насколько это возможно по закону, издатель отказался от всех прав на эти данные и посвятил их Public Domain (CC0 1.0). Пользователи могут без ограничений копировать, изменять, распространять и использовать работу, в том числе в коммерческих целях.

Регистрация в GBIF

Этот ресурс не был зарегистрирован в GBIF

Ключевые слова

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

Внешние данные

Ресурс также доступен в других форматах

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

Контакты

Patrick Miles

Author ●
Originator ●
Point Of Contact

Research Forester, National Database Manager

USFS Forest Inventory & Analysis

Northern Research Station, 1992 Folwell Ave.

55108 St. Paul

Minnesota

pmiles@fs.fed.us

+1 651-649-5146

http://www.nrs.fs.fed.us/people/miles

Elizabeth Sellers

Metadata Provider

Technical Information Specialist - Biology

United States Geological Survey (USGS)

12201 Sunrise Valley Drive, Mailstop 302

20192 Reston

Virginia

esellers@usgs.gov

+1 703 648 4385

https://profile.usgs.gov/esellers

Barbara M. O'Connell

Author

Forester

Forest Inventory and Analysis Program, US Forest Service

Northern Research Station

Newtown Square

Pennsylvania

Elizabeth B. LaPoint

Author

Forester

Monitoring and Assessment Program, US Forest Service

Northern Research Station

Durham

New Hampshire

Jeffrey A. Turner

Author

Forester

Forest Inventory and Analysis Program, US Forest Service

Southern Research Station

Knoxville

Tennessee

Ted Ridley

Author

IT specialist

Forest Inventory and Analysis Program, US Forest Service

Southern Research Station

noxville

Tennessee

Scott A. Pugh

Author

Forester

Forest Inventory and Analysis Program, US Forest Service

Northern Research Station

Houghton

Michigan

Andrea M. Wilson

Author

Forester

Interior West Forest Inventory and Analysis Program, US Forest Service

Rocky Mountain Research Station

Ogden

Utah

Karen L. Waddell

Author

Forester

Resource Monitoring and Assessment Program, USDA Forest Service

Pacific Northwest Research Station

Portland

Oregon

Barbara L. Conkling

Author

Research Assistant Professor

North Carolina State University

Department of Forestry and Environmental Resources

Raleigh

North Carolina

Derek Masaki

Processor

Geographer

United States Geological Survey (USGS)

12201 Sunrise Valley Drive, Mail Stop 302

20192 Reston

Virginia

dmasaki@usgs.gov

+1 (703) 648-4365

http://www.usgs.gov

Географический охват

Alaska, Hawaii, and the lower 48 states.

Ограничивающие координаты	Юг Запад [17,17, -168,2], Север Восток [72,12, -64,88]

Таксономический охват

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

Kingdom	Plantae (plants)

Временной охват

Дата начала / Дата окончания	1968-01-01 / 2015-01-01

Данные проекта

Описание отсутсвует

Название	US Forest Service Forest Inventory and Analysis Program
Финансирование	US Farm Bill
Описание района исследования	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.
Описание плана выполнения исследований	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).

Исполнители проекта:

Barbara O'Connell

Custodian Steward

Методы сбора

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.

Охват исследования	the fifty United States, on an annual basis as funding allows.
Контроль качества	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).

Охват исследования

the fifty United States, on an annual basis as funding allows.

Контроль качества

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).

Описание этапа методики:

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.

Дополнительные метаданные

Цель
Альтернативные идентификаторы	https://bison.usgs.gov/ipt/resource?r=usfs-fia-trees-public-lands