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The Forest Inventory and Analysis Database - Database Description and Users Manual Version 4.0 for Phase 2 (Paperback)
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The Forest Inventory and Analysis Database - Database Description and Users Manual Version 4.0 for Phase 2 (Paperback)
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This publication is based on previous documentation of the
nationally standardized Forest Inventory and Analysis database
(Hansen and others 1992; Woudenberg and Farrenkopf 1995; Miles and
others 2001). Documentation of the structure of the Forest
Inventory and Analysis database (FIADB) for Phase 2 data, as well
as codes and definitions, is provided. Examples for producing
population level estimates are also presented. This database
provides a consistent framework for storing forest inventory data
across all ownerships for the entire United States. Forest
Inventory and Analysis (FIA) is a continuing endeavor mandated by
Congress in the Forest and Rangeland Renewable Resources Planning
Act of 1974 and the McSweeney-McNary Forest Research Act of 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. USDA Forest Service regional research stations are
responsible for conducting these inventories and publishing summary
reports for individual States. In addition to published reports,
the Forest Service provides data collected in each inventory to
those interested in further analysis. This report describes a
standard format in which data can be obtained. 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.
Data field definitions note inconsistencies caused by different
sampling designs and processing methods.
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