The Reducing Fire Risk Issue comprises three types research
and development or projects designed to assist land managers
by developing models or tools to assist with evaluation of
outcomes of land management policies, facilitating the evaluation
of the finances of thinning and the effectiveness of thinning
in reducing fire hazard, and ranking areas for fire risk.
The
Interior Northwest Landscape Analysis System (INLAS) develops
or enhances techniques for examining policy and resource
management alternatives for forested landscapes and rangelands.
Application of these techniques helps decisionmakers examine
change in ecological and socioeconomic systems under varying
policy or land management options. INLAS links a number of
resource, disturbance, and landscape simulation models to
examine the interactions of management, succession, and disturbance
with a set of policy goals for 4th-code hydrologic
unit (about 500,000 to 1,000,000 acres) subbasins in northeastern
Oregon. The effects of natural disturbances like wildfire,
ungulate herbivory, forest insects and diseases, as well
as specific management actions are included. Outputs from
simulations illustrate effects on aquatic conditions, terrestrial
habitat, potential for wood utilization, and other socioeconomic
opportunities.
The
Forest Inventory and Analysis (FIA) BioSum
model, developed collaboratively with the Human and Natural
Resources Interactions and FIA programs, is a strategic planning
tool intended to provide initial financial and effectiveness
screening of proposed locations for biomass cogeneration
facilities, including those sites with the greatest potential
to contribute to fire hazard reduction.
The Spatial
Resource Support System project, a partnership between
State and Private Forestry and Research, is developing
an evaluation system that accounts for human needs, ecological
conditions of forests, and fire threat. This decision support
system produces individual and combined indices that can
be used to develop rankings that are displayed numerically
and spatially in the form of maps.
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