LANDFIRE (Landscape Fire and Resource Management Planning Tools) is a vegetation, fire and fuel characteristics mapping program. LANDFIRE data products consist of over 50 spatial data layers including: Existing Vegetation Type, Canopy, and Height; Biophysical Settings; Environmental Site Potential; Fire Behavior Fuel Models; Fire Regime Classes; and Fire Effects layers.
LANDFIRE (Landscape Fire and Resource Management Planning Tools) is a vegetation, fire and fuel characteristics mapping program.
The Climate Change Atlases can help to answer a range of questions concerning current and projected suitable habitat (year 2100) for 134 tree species and 147 bird species in the eastern U.S.
The Climate Change Atlases can be used to examine the current distribution of tree and bird habitats in the eastern United States, and how tree and bird distribution might change in response to different climate scenarios.
The Forest CarbonPlus calculator streamlines annual emissions calculations for Forest Service operations and activities at the level of National Forest or Region/Station/Area. The calculator can be helpful in determining a benchmark and measuring progress toward emissions reductions goals.
The Forest CarbonPlus calculator can be used to calculate carbon emissions that are directly related to day-to-day operations of Forest Service facilities and activities of Forest Service employees.
First order fire effects are the immediate consequences of a fire, whether direct or indirect. The FOFEM tool is designed to calculate these consequences for prescribed fire or wildfire using four separate metrics: tree mortality, fuel consumption, emissions or smoke production, and soil heating. This tool is intended for direct use in assessing fire impacts and severity, planning prescribed fires that accomplish resource needs, and other applications.
FOFEM is a model that predicts first-order fire effects including tree mortality, fuel consumption, emissions (smoke) production, and soil heating caused by prescribed burning or wildfire.
COLE is a versatile and appropriate tool to use for a wide range of carbon estimation needs. COLE draws from Forest Inventory and Analysis (FIA) data to provide basic carbon inventory and growth-and-yield estimates for a particular forest, region, or state. While COLE draws from FIA plot data, the data is aggregated at the county or national forest level, so analysis can occur at this level or higher.
COLEv2.0 enables the user to examine forest carbon characteristics of any area of the continental United States.
Scientists are working to better understand fire across the landscape to help land managers effectively restore fire-dependent ecosystems and address future risks. This research can support social and forest management actions to mitigate climate change impacts.
For more than 15 years we have worked together with collaborators from other institutions to develop and apply methods to forecast landscape-scale forest change in response to tree growth and species succession as well as disturbance from timber harvest and fire. Much of this work has utilized the LANDIS model to forecast changes in forest conditions for management and disturbance scenarios applied. We have demonstrated the capabilities of these tools to analyze the cumulative effects of management scenarios applied to real forest landscapes in Indiana and Missouri.
Michigan Technological University, University of Idaho, University of Wisconsin, University of Michigan
Mark E. Kubiske
The Northern Forest Ecosystem Experiment is a large-scale, long-term field experiment in which harvested forests regenerate in atmospheres with enhanced concentrations of carbon dioxide (CO2), ozone (O3) or both gasses combined. This Experiment takes place on the same site as the 11-year Aspen FACE Experiment, following the final data collection for the Aspen FACE project in 2009.
The Landscape Change Research Group, from the Delaware, OH lab of the Northern Research Station, has been modeling potential changes in suitable habitat for trees and birds of the eastern US. These maps are available online at www.nrs.fs.fed.us/atlas. We also look at dispersal potentials through another modeling toolset, and work with modification factors to understand more about the factors not readily modeled.