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Science Spotlights

Dwarf Bear Poppy at the White Dome Preserve (photo credit: Alyson DeNittis)
Census and monitoring are fundamental to rare plant conservation but can be expensive, labor-intensive, and damaging to fragile habitats. We developed a method using drone imagery to census populations of the endangered dwarf bear-poppy in its desert gypsum badland habitat and model its fine-scale habitat requirements. The drone can carry out a census in two days that would take two botanists a month to complete on the ground, with virtually no...
Watershed following the Las Conchas Fire on the Santa Fe National Forest. Credit goes to: Anna Jaramillo-Scarborough
Wildfires, an important natural disturbance in southwestern ecosystems, can present challenges to resource managers, communities, and private landowners when they burn areas subject to post-fire flooding and erosion. Many government agencies and research institutions have developed science and management tools for estimating post-fire effects and mitigating risks in burned landscapes. We assessed the utility of currently available tools and...
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.
https://www.treesearch.fs.fed.us/pubs/53114Maps 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...

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