Title:

North American Wildland Fuel Database

Author(s):

Prichard, Susan J.; Kennedy, Maureen C.; Andreu, Anne G.; Eagle, Paige C.; French, Nancy H.

Publication Year:

2019

How to Cite:

These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:

Prichard, Susan J.; Kennedy, Maureen C.; Andreu, Anne G.; Eagle, Paige C.; French, Nancy H. 2019. North American Wildland Fuel Database. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2019-0025

Abstract:

The mass of live and dead vegetation, termed biomass, is used in a variety of applications including carbon mapping, wildland smoke emissions modeling, and fire management. In many mapping projects, single biomass values are often used to represent classified vegetation types. However, in reality, the biomass of grasslands, shrublands and forests is extremely variable, and mapped values are associated with a high degree of uncertainty. In this study, we developed a database of wildland fuel biomass (North American Wildland Fuel Database) by major vegetation type (i.e., tree crowns, snags, shrubs, herb, downed wood by size class, litter and duff) in the United States and Canada. This database is a compilation of existing databases and published literature, with wildland fuel biomass converted to a standard unit of measure (megagrams per hectare).

Keywords:

wildland fuel; Joint Fire Science Program; JFSP; biota; environment; Fire; Forest Products; Bioenergy and biomass; continental United States; Alaska; Canada

Related publications:

• Prichard, Susan J.; Kennedy, Maureen C.; Andreu, Anne G.; Eagle, Paige C.; French, Nancy H. 2019. Next-generation biomass mapping for regional emissions and carbon inventories: incorporating uncertainty in wildland fuel characterization. Journal of Geophysical Research: Biogeosciences. 124(12): 3699-3716. https://doi.org/10.1029/2019jg005083

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