The Forest Inventory and Analysis Database: Database Description and Users Manual Version 4.0 for Phase 2

By S. Woudenberg, B. Conkling, B. O'Connell, E. Lapoint, J. Turner, K. Waddell. 2012

496 citations recorded by the source corpus.

This document 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. These data are available to the public.

Subfields: Environmental Engineering, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/c9fc7bf985fde7246f6139809cc7b019fd1ae007

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Citations in the corpus

Topoclimates, refugia, and biotic responses to climate change (2020, methodology): “Species distributions of trees in the western US were obtained from the US Forest Service’s Forest Inventory and Analysis (FIA) program (Burrill et al. 2018; see WebFigure 1).”
Does biodiversity make a difference? Relationships between species richness, evolutionary diversity, and aboveground live tree biomass across U.S. forests. (2014, methodology): “Remotely sensed data may also be used to determine if plot locations have forest land cover; forest land is defined as areas at least 10% stocked with tree species, at least 0.4 ha in size, and at least 36.6 m wide (Bechtold and Patterson, 2005).”
Extinction debt and colonization credit delay range shifts of eastern North American trees (2017, unknown): “…we assembled a database from regional forest inventory databases from the Forest Inventory and Analysis National Program in The United States 37 , Domtar (a private forestry company in Quebec), the Ministry of Forests, Wildlife and Parks in Quebec 38 , the Ministry of Natural Resources and…”
Joint Species Distribution Modeling: Dimension Reduction Using Dirichlet Processes (2017, background): “It is a collection of annual inventory plots (2003–2009) in 31 states in the eastern US (Woudenberg et al., 2010, FIADB version 4.0.) that includes species, size, health of trees, tree growth, mortality, and removal by harvest.”
Forest structure and species traits mediate projected recruitment declines in western US tree species (2015, background): “The FIA programme tabulates adult trees, defined as having a diameter at breast height (d.b.h.) > 12.7 cm, and seedlings in each subplot (Woudenberg et al., 2010).”