You are here


Science Spotlights

National Genomics Center stream water filter setup for eDNA sample collection
The National Genomics Center for Wildlife and Fish Conservation pioneered development of eDNA sampling of aquatic environments at their laboratory in Missoula, MT. The Center has partnered with dozens of National Forests, as well as other state, federal, tribal, and private natural resource organizations to assist in the collection and processing of eDNA samples. Thousands of eDNA samples are collected annually and constitute a rapidly growing...
Effective conservation and management decisions for habitats require information about the distribution of multiple species but such data is expensive to obtain; this often limits data collection to just a few, high-profile species. Environmental DNA (eDNA) sampling can be more sensitive, and less expensive, than traditional sampling for aquatic species, and a single sample potentially contains DNA from all species present in a waterbody. Cost-...
Figure 1Map of Borneo showing areas of forest loss between 2000 and 2010 in yellow, areas of forest persistence from 2000 to 2010 in green, and areas that were not forest in 2000 in black.
A collaborative team, led by RMRS Research Ecologist Samuel Cushman, has produced a substantial breakthrough in advancing predictive modeling of drivers and patterns of deforestation. The method combines multi-scale optimization with machine-learning predictive modeling to identify the drivers of deforestation and map relative future deforestation risk.  
More than one-sixth of the world’s population rely on seasonal snow for water. In the western U.S., nearly three-quarters of the annual streamflow that provides the water supply arrives as spring and summer melt from the mountain snowpacks. SnowEx is a science campaign that combines on-the-ground measurements with aerial and remote sensing to improve measurements and techniques for identifying the amount of water in snow. 
Research Ecologist Justin DeRose measuring ring widths to crossdate and digitize tree-ring features. Photo by Lawrence Lam.
Forest fungi in the Armillaria genus comprise destructive root-disease pathogens and beneficial decomposers. It is critical to understand worldwide distributions of Armillaria species to assess invasive threats posed by Armillaria species. This collaborative work with scientists from 15 countries focused on DNA-based analyses of Armillaria species from the Northern Hemisphere.
Concerns about climate change effects on cold-water biodiversity sparked broad multi-agency collaborative efforts throughout the American West. U.S. Forest Service research teams led development of massive interagency databases that now enable precise mapping of critical habitats and species distributions in streams flowing through 101 National Forests.
Forest plot data is matched to gridded landscape data from LANDFIRE using the random forests method. The output consists of a grid of the IDs for the best-matching plot for each pixel. of the number, size, and species of trees in forests across the western United States are desirable for a number of applications including estimating terrestrial carbon resources, tree mortality following wildfires, and for forest inventory. However, detailed mapping of trees for large areas is not feasible with current technologies. We used a statistical method called random forests for matching...
Armillaria mellea is a parasitic fungus that frequently causes root disease in forests of the US.  Image uploaded to Wikimedia Commons by Mars 2002 under a Creative Commons License
Growing forests take greenhouse gases such as carbon dioxide out of the atmosphere. National forests must account for how natural and management-oriented disturbance processes affect carbon storage as an ecosystem benefit.  Although it doesn’t always cause large, eye-catching areas of mortality, root disease likely affects carbon storage by reducing tree growth and regeneration over vast areas.  However, no previously available tools allowed...
A world map displaying the density of ModelMap downloads
Working in the Forest Inventory and Analysis (FIA) Program, we have access to a valuable collection of detailed information about forests on thousands of sample plots distributed across the country. This information is used to produce summaries of forestland characteristics for a variety of geographic areas such as states or individual national forests. We wanted a simple tool to extend this sample data and make detailed maps of forest...
Paul Patterson presenting during the R and Open Foris Calc Workshop in Lima, Peru
Carbon sequestration is an important element in the discussion towards limiting the impacts of climate change. There are proposals to pay tropical countries to maintain their forests to maximize carbon sequestration. Vital to this proposal is the existence of a National Forest Inventory with statistically valid estimates of forest attributes.