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History

Projects

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 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.  
North American Forest Dynamics (NAFD) project is exploiting the Landsat historical record to develop a quantitative understanding of forest disturbance patterns across the conterminous US.
RMRS Research Biogeochemist Chuck Rhoades is partnering with Medicine Bow-Routt National Forest staff and Colorado State University researchers to develop a restoration plan for Greater sage-grouse habitat in California Park, near Hayden, Colorado. It is uncertain to National Forest System land managers whether the current vegetation patterns are a result of livestock grazing, historic herbicide use, elk browsing, or are due to underlying soil differences. Building a better understanding of these interacting factors will aid restoration activities.
There is a wealth of U.S. wildfire activity data available for analyses, but users must be aware of inherent reporting biases, inconsistencies, and uncertainty in the data in. Information is generally acquired from archival summary reports of the federal or interagency fire organizations. This project provides an overview of sources of data for U.S. wildfire activity analyses that highlights major reporting biases, inconsistencies, and uncertainty. 
This work provides an overview of sources of data for United States wildfire activity analyses and highlights major reporting biases, inconsistencies, and uncertainty within data source.  
Multi-century fire and forest histories are reconstructed using dendrochronological techniques to assess past variation in fire regimes at various scales of time and space.