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This project created more than fifty jobs to work on the watershed-level prioritization of land management actions based on fuel conditions, wildlife and aquatic habitats, economic values, and projected climate change across all lands in Arizona, New Mexico, Oregon and Washington. The project explores the dynamics of broad-scale, multi-ownership landscapes over time by evaluating and integrating information about:
Products from the project will help land managers, planners, and policymakers evaluate management strategies that reduce fire risk, improve habitat, and benefit rural communities.
The project integrates data and tools, creating a decision support framework to help planners, managers and policymakers make the best use of available information. The project addresses these main questions:
The project is a collaborative effort among scientists, analysts, and writers from the U.S. Department of Agriculture Forest Service, Oregon State University College of Forestry, and the Oregon University System Institute for Natural Resources (INR). The project also brings together scientists, land managers, and planners from other state and federal forestry, wildlife, and natural resource agencies, conservation organizations, and universities.
The project creates a variety of analytical and graphical tools that generate tables, graphs, and maps that land managers and planners can use to integrate and prioritize management activities. The project's reports, publications, models, model output, maps, data, and tools will be archived and available online so that scientists and managers in years to come will be able to use and build on the project's products. The project will also create a web-enabled decision support system if time and resources permit.
Land managers, planners, analysts, scientists, policymakers, and large-area landowners can use the project’s tools and information for many applications of landscape analysis at the regional, state, and watershed levels. Some potential applications include:
This project evaluates current and future resource conditions across mixed ownerships. It will extend and complement more generalized landscape-level wildfire risk projects, such as LANDFIRE.
The data and tools developed for this project can support other types of landscape evaluations that extend beyond a focus on integrated fuel priorities. This collaborative project develops methods that may be used to address other important public issues over large landscapes, such as: