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Table · dataset · 2026

Linking TreeMap and FuelMap to growth, yield, and disturbance modeling: an FVS-ready database for the conterminous United States (30m) circa 2020 landscapes

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Description

TreeMap, a CONUS-wide gridded dataset of Forest Inventory and Analysis (FIA) plots imputed to spatially-explicit LANDFIRE and DAYMET data, provides a unique opportunity to connect spatially contiguous tree-level data with the Forest Vegetation Simulator (FVS), enabling users to model landscape-wide forest and fuels management, growth, and disturbance effects. Surface fuel data are an optional input into FVS and are of particular value when modeling fire behavior and effects, including carbon emissions.

FIA plot measurements include all the data required for modeling forest growth and management, but complete fuel data are not measured for every plot. FuelMap, a dataset that complements TreeMap through the imputation of fuels data to FIA plots in TreeMap, fills this gap. The data in this package include a 30 meter (m) resolution raster that identifies each unique combination of FVS variant and TreeMap and FuelMap FIA plot control numbers (CNs), circa landscape conditions in 2020, as well as a set of FVS-ready SQLite databases that contain the FIA-derived tree and stand-level variables for each unique combination.

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Also included in this package is the R script used to build the FVS input databases. Users of the FIA Database (FIADB), which is more recently referred to as the FIA DataMart, should be aware that these databases differ from the FVS-ready tables available in the FIADB in two key ways. First, the FIADB tables do not include fuels for FIA plots for which fuels are not measured.

Second, the FIADB tables include the FVS variant in which each FIA plot originates, rather than the FVS variant within which the FIA plots are imputed in TreeMap.<br>Modeling management, growth, and disturbance on forest lands provides essential information about how forests may respond to a range of different activities and disturbance processes in the near and long-term. These data have been used to produce nationally-consistent mapped estimates of timber volume and carbon risk.

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Inferred from text
Fire ecology 76%
Provenance · 1 source records, 18 field assertions
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figshareoai:figshare.com:article/3395111210 d agoJSON v1
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