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This project incorporates historical data collected at the Sierra Ancha Experimental Forest nearly 100 years ago to determine how plant communities have changed over that period of time.
The Sierra Ancha Experimental Forest (SAEF) Vegetation Mapping Project uses unmanned aerial vehicles (UAVs) to create highly detailed vegetation maps using Structure From Motion technology.  These maps are then used to overlay historical vegetation maps made nearly 100 years ago to determine how vegetation has changed over the last century.
The research objective is to develop western white pine management strategies focused on regeneration establishment and young forest development by 1) developing canopy opening size thresholds where western white pine can establish and grow, 2) developing alternative tending methods to enable managers to continue to manage western white pine plantations, 3) evaluating plantation resilience to wildfire, and 4) evaluating understory plant diversity under 30-year or older western white pine plantations.  
The website provides: 1) A large list of supporting science behind eDNA sampling. 2) The recommended field protocol for eDNA sampling and the equipment loan program administered by the NGC. 3) A systematically-spaced sampling grid for all flowing waters of the U.S. in a downloadable format that includes unique database identifiers and geographic coordinates for all sampling sites. Available for download in an Geodatabase or available by ArcGIS Online map. This sampling grid can be used to determine your field collection sites to contribute. 4) The lab results of eDNA sampling at those sites where project partners have agreed to share data.
This project focused on understanding the fungal biome of an endemic level population of Jeffrey’s pine beetle (JPB) in northern California. The authors of this study found a fungus on the JPB, which is often associated with mountain pine beetles (a species that is closely related to JPB). The researchers theorize that the fungi associated with the beetle could determine if the population of the beetle remains at an endemic (normal) level or rises to an epidemic (outbreak) level.  
Knowing how environments might influence the degree and location of hybridization between these species represents a potentially powerful tool for managers. To address that need, we modeled how hybridization between westslope cutthroat trout and rainbow trout is influenced by stream characteristics that favor each species. On the Cutthroat trout-rainbow trout hybridization website, we describe that model, and provide high-resolution digital maps in user-friendly formats of the predictions of different levels of hybridization across the native range of westslope cutthroat trout in the Northern Rocky Mountains, representing both current conditions and those associated with warmer stream temperatures. Our goal is to help decision-makers gauge the potential for hybridization between cutthroat trout and rainbow trout when considering management strategies for conserving cutthroat trout.
The cumulative area of LiDAR collections across multiple ownerships in the northwestern United States has reached the point that land managers of the U.S. Forest Service (USFS) and other stakeholders would greatly benefit from a strategy for how to utilize LiDAR for regional aboveground biomass inventory. The need for Carbon Monitoring Systems (CMS) can be more robustly addressed by using not only available NASA satellite data products, but also commercial airborne LiDAR data collections.
In 2015, analysts with Fire Modeling Institute (FMI) continued to be involved with application of a wildfire risk assessment framework developed largely by RMRS scientists from both the Fire, Fuel, and Smoke Science Program and the Human Dimensions Program. The risk assessment framework is useful for multiple reasons: it provides a means to assess the potential risk posed by wildfire to specific highly valued resources and assets (HVRAs) across large landscapes, and it also provides a scientifically-based foundation for fire managers to think strategically and proactively about how to best manage fire and fuels on their landscapes in a way that integrates with broader land and resource management goals.  
Squirreltail (Elymus elymoides) can rapidly colonize disturbed sites, is relatively fire-tolerant, and is a potential competitor with medusahead (Taeniatherum caput-medusae) and cheatgrass (Bromus tectorum). Determining the extent to which adaptive genetic variation is related to climatic variation is needed to ensure that the proper germplasm is chosen for revegetation and restoration. This study provides (1) seed zones and seed transfer guidelines for developing adapted plant materials of squirreltail for revegetation and restoration in the Great Basin and adjacent areas and (2) guidelines for conservation of germplasm within the National Plant Germplasm System.
Good drought tolerance and fibrous roots make prairie junegrass (Koeleria macrantha) beneficial for revegetation and erosion control on mined lands, over septic systems, in construction areas, on burned sites, and in other disturbed areas. There is a need for greater genetic knowledge of this species to ensure adapted populations are used for restoration and revegetation projects. This study provides (1) seed zones and seed transfer guidelines for developing adapted plant materials of prairie junegrass for revegetation and restoration in the Great Basin and adjacent areas and (2) guidelines for conservation of germplasm within the National Plant Germplasm System.