Provides the rationale and context for a national inventory of down woody material. Documents the various woody material components sampled by the DWM indicator, the sampling protocol used to measure the DWM components, and estimation procedures. Provides guidance on managing and processing DWM data and incorporating that data into pertinent inventory analyses and research projects.

Forest ecosystems are more than just assemblages of trees. They are associations of flora, fauna, and abiotic entities, mineral coesxisting in complex unity, In recognition of this fact, the FIA program of the USDA Forest Service conducts an inventory of our Nations forest ecosystems that not only estimates tree components, but also inventories numerous non timber ecosystem attributes

The Forest Inventory and Analysis (FIA) program of the USDA Forest Service conducts a national inventory of forests of the United States. A subset of FIA permanent inventory plots are sampled every year for indicators of forest health such as soils, understory vegetation, and down woody materials (DWM). The DWM indicator provides estimates of down and dead woody materials in forest ecosystems. Estimates of DWM are used in assessments of forest-ecosystem attributes such as fuel loadings, carbon stocks, and structural diversity. As defined by the FIA program, DWM comprises fine and coarse woody debris, slash piles, duff, litter, and shrub/herbs cover and height. Components of DWM are sampled using the line-intersect method, point sampling, and fixed-radius sampling. DWM data analyses are an integral part of national inventory reports, multi-scale forest-health reports, and wildlife-habitat, and fuel-loading assessments. The DWM inventory began in 2001 and currently is implemented in 46 states and two territories. In this report we provide the rationale and context for a national inventory of DWM, describe woody material components sampled by the DWM indicator, discuss the sampling protocol used to measure the DWM components and corresponding estimation procedures, and provide guidance on managing and processing DWM data and incorporating that information into pertinent inventory analyses and research projects.