» Articles » PMID: 11833910

Forest Inventory and Analysis: a National Inventory and Monitoring Program

Overview
Journal Environ Pollut
Date 2002 Feb 9
PMID 11833910
Citations 28
Authors
Affiliations
Soon will be listed here.
Abstract

Forests provide significant commodity and noncommodity values to the citizens of the United States. An important and substantial role in ensuring the continued health, productivity, and sustainability of these resources is a reliable and credible inventory and monitoring program. The Forest Inventory and Analysis (FIA) program of the US Forest Service has been monitoring and reporting on status, condition, and trends in the nation's forests for over 70 years and the Forest Health Monitoring (FHM) program for the last 11 years. Recent legislation included in the 1998 Farm Bill, along with efforts to integrate inventory and monitoring networks to deliver Criteria and Indicators of Sustainable Forests, are redefining the role and operation of the recently integrated FIA and FHM programs. This paper provides a brief history and a look at new directions for the enhanced FIA Program.

Citing Articles

Improved aboveground biomass estimation and regional assessment with aerial lidar in California's subalpine forests.

Winsemius S, Babcock C, Kane V, Bormann K, Safford H, Jin Y Carbon Balance Manag. 2024; 19(1):41.

PMID: 39704861 PMC: 11662458. DOI: 10.1186/s13021-024-00286-w.


Sensitive tree species remain at risk despite improved air quality benefits to US forests.

Coughlin J, Clark C, Pardo L, Sabo R, Ash J Nat Sustain. 2024; 6:1607-1619.

PMID: 39376716 PMC: 11457011. DOI: 10.1038/s41893-023-01203-8.


Improving wood carbon fractions for multiscale forest carbon estimation.

Doraisami M, Domke G, Martin A Carbon Balance Manag. 2024; 19(1):25.

PMID: 39143377 PMC: 11325570. DOI: 10.1186/s13021-024-00272-2.


40 years of forest dynamics and tree demography in an intact tropical forest at M'Baïki in central Africa.

Benedet F, Gourlet-Fleury S, Allah-Barem F, Baya F, Beina D, Cornu G Sci Data. 2024; 11(1):734.

PMID: 38971846 PMC: 11227503. DOI: 10.1038/s41597-024-03577-6.


Spatial predictions of tree density and tree height across Mexico forests using ensemble learning and forest inventory data.

Barreras A, Alanis de la Rosa J, Mayorga R, Cuenca R, Moreno-G C, Godinez C Ecol Evol. 2023; 13(5):e10090.

PMID: 37223308 PMC: 10200803. DOI: 10.1002/ece3.10090.