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- The U.S. Department of Agriculture (USDA), Forest Service, Forest Inventory and Analysis (FIA) program provides this resource update yearly as an overview of forest resources in Idaho. These estimates are derived from field data collected across a systematic network of fixed-radius forest monitoring plots located on both public and private land. New updates are provided annually as a subset of plots within the State are remeasured. Each year, field crews visit and measure a subset of all FIA plots across the entire State (the size of the subset varies by State and year). Combining all the...AuthorsForest Service. U.S. Department of AgricultureKeywordsYear2025
- Experts have acknowledged that there is “imperfect data on the full composition of the wildfire risk reduction, response, and recovery workforce.” In this paper, we improve upon the data available around the wildfire response workforce, specifically by quantifying the capacity and examining recent trends associated with this workforce. The fire response workforce is spread between federal, state, Tribal, local, and private agencies. While these sectors work together through a fire response system that emphasizes resource coordination, sharing, and interoperability, there is no one system...AuthorsAbigail A. Varney, I. Avery Bick, Cassandra Jurenci, Michael Mastrandrea, Michael Wara, Erin J. BelvalSourceStanford UniversityYear2025
- In many fire-prone landscapes, protecting ecological values is an important objective of wildfire management. Here, we develop a mixed integer programming model for managing a network of linear fuel breaks to minimize wildfire impacts on the sagebrush (Artemisia spp.) core habitats in the northern Great Basin. The model uses simulated wildfires for 20,000 fire seasons, calibrated to historical fire occurrence data from 2006 to 2020. It coordinates treated fuel breaks to create opportunities to contain each simulated fire. Multiple treatment options with fuel break widths of 30 to 122 m are...AuthorsDung Nguyen, Yu Wei, Erin J. Belval, Jesse D. Young, Christopher D. O'Connor, Christopher J. Dunn, Dave E. CalkinKeywordsSourceEcological Informatics. 90: 103357.Year2025
- To create conditions suitable for the recruitment of native forest species, tools are often needed to suppress grasses when restoring forests from abandoned pastureland. Planting trees is one method to reduce grass growth through shading and accumulation of leaf litter, while benefiting woody seedlings by moderating the microclimate. Nitrogen-fixing trees are often planted in tropical reforestation work because of their fast growth rates and ability to enrich soil nutrients. However, nitrogen (N) contributed to the soil from N-fixing trees can also facilitate the growth of competitive...AuthorsClarice M. Esch, Stephanie YelenikKeywordsSourceRestoration Ecology. 2025: e70162.Year2025
- Catastrophic wildfire has escalated across the globe in recent decades with devastating consequences for human communities and native ecosystems. Global change processes, including climate warming and land use practices, are altering fuels, fire risk, and ecosystem recovery. Managing ecosystems to reduce fire risk and prevent conversion to undesirable alternative states requires knowledge of the ecological conditions of ecosystems, trajectories of change, and drivers of those changes. We developed an approach for evaluating ongoing changes in climate and vegetation and using that informatio...AuthorsJeanne C. Chambers, Jessi L. Brown, Sofia Koutzoukis, Richard F. Miller, Sarah C. Barga, Rhett Boswell, Robert W. Heckman, Mark Madsen, Matt C. Reeves, Vaughn Thacker, Stephanie YelenikKeywordsSourceFire EcologyYear2025
- White pine blister rust (WPBR) is one of North America’s most damaging tree epidemics. Aggregating data from more than 80 independent studies across the western U.S. from 1995-2024, we estimate WPBR risk for high-elevation five-needle pine species (High-5) from 1980-2023 in the adaptive management tool RustMapper. WPBR risk is the probability of observing WPBR on the High-5. Stream density, topography, hardiness zone, precipitation, air temperature, vapor pressure deficit, and relative humidity were critical in estimating WPBR risk. WPBR risk increased with moisture and declined with...AuthorsSparkle L. Malone, Anna W. Schoettle, Kelly S. Burns, Holly S. J. Kearns, Jane E. Stewart, Maria Newcomb, Christy M. CleaverSourceScientific Data. 12: 1046.Year2025
- The U.S. Department of Agriculture (USDA), Forest Service, Forest Inventory and Analysis (FIA) program provides this resource update yearly as an overview of forest resources in Arizona. These estimates are derived from field data collected across a systematic network of fixed-radius forest monitoring plots located on both public and private land. New updates are provided annually as a subset of plots within the State are remeasured. Each year, field crews visit and measure a subset of all FIA plots across the entire State (the size of the subset varies by State and year). Combining all...AuthorsForest Service. U.S. Department of AgricultureKeywordsYear2025
- The U.S. Department of Agriculture (USDA), Forest Service, Forest Inventory and Analysis (FIA) program provides this resource update yearly as an overview of forest resources in Colorado. These estimates are derived from field data collected across a systematic network of fixed-radius forest monitoring plots located on both public and private land. New updates are provided annually as a subset of plots within the State are remeasured. Each year, field crews visit and measure a subset of all FIA plots across the entire State (the size of the subset varies by State and year). Combining all...AuthorsForest Service. U.S. Department of AgricultureKeywordsYear2025
- The U.S. Department of Agriculture (USDA), Forest Service, Forest Inventory and Analysis (FIA) program provides this resource update yearly as an overview of forest resources in Nevada. These estimates are derived from field data collected across a systematic network of fixed-radius forest monitoring plots located on both public and private land. New updates are provided annually as a subset of plots within the State are remeasured. Each year, field crews visit and measure a subset of all FIA plots across the entire State (the size of the subset varies by State and year). Combining all the...AuthorsForest Service. U.S. Department of AgricultureKeywordsYear2025
- The U.S. Department of Agriculture (USDA), Forest Service, Forest Inventory and Analysis (FIA) program provides this resource update yearly as an overview of forest resources in Arizona. These estimates are derived from field data collected across a systematic network of fixed-radius forest monitoring plots located on both public and private land. New updates are provided annually as a subset of plots within the State are remeasured. Each year, field crews visit and measure a subset of all FIA plots across the entire State (the size of the subset varies by State and year). Combining all...AuthorsForest Service. U.S. Department of AgricultureKeywordsYear2025