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Forest Inventory and Analysis

Projects

This project is an interdisciplinary working group focused on collecting, documenting, exchanging, and archiving information about R4 groundwater-dependent ecosystems (GDEs), particularly springs and wetlands.Current partners include Kate Dwire (RMRS), John Proctor (R4 Botanist), Mark Muir (R4 Hydrologist), Cynthia Tait (R4 Aquatic Program Manager), and Jeff Bruggink (R4 Soil Scientist).
Evaluating effects of climate change on whitebark pine trees.
Lick Creek Demonstration-Research Forest: 25-year fire and cutting effects on vegetation and fuels.
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.
Longleaf pine forests are one of the most critically endangered ecosystems in the world. RMRS scientists and collaborators have developed new tools that can quantify the amount and condition of longleaf pine forest at fine spatial resolution over large areas. Researchers are improving the technologies and software and strengthening the extension and outreach aspects of this work. The next phase of the project will run through 2020.
The National Forest Climate Change Maps project was developed to meet the need of National Forest managers for information on projected climate changes at a scale relevant to decision making processes, including Forest Plans.  The maps use state-of-the-art science and are available for every National Forest in the contiguous United States with relevant data coverage. Currently, the map sets include variables related to precipitation, air temperature, snow (including April 1 snow-water equivalent (SWE) and snow residence time), and stream flow.
Forest management and natural disturbance can have a significant impact on storage or emission of greenhouse gases. Researchers with the Rocky Mountain Research Station designed the Forest Carbon Management Framework (ForCaMF) to model how harvested and burned stands contribute to overall carbon storage over different time scales. ForCaMF was used to conduct analyses across all 76 million ha of National Forest System land by Forest Service Region. Through informed forest management, additional forest carbon storage is achievable.
The National Stream Internet (NSI) is a network of people, data, and analytical techniques that interact synergistically to create information about streams. The NSI is needed because accurate, high-resolution status and trend information does not exist for most biological and water quality attributes across the 5.5 million stream kilometers in the United States.
The Interior West Forest Inventory and Analysis (IW-FIA), Rocky Mountain Research Station, and Ogden Forestry Sciences Laboratory conduct forest resource inventories in the Interior West States of Arizona, Colorado, Idaho, Montana, Nevada, New Mexico, Utah, and Wyoming. Field crews measure and classify attributes of forest conditions and health including: tree species, diameter, age, height, crown condition. Additionally, field crews determine understory species, cover, structure, and site conditions of ground cover, lichen community, habitat type, and soils
The RMRS Raster Utility is an object oriented coding library that facilitates a wide range of spatial and statistical analyses using novel statistical methods in a newly developed Function Modeling framework. This work includes: New tools for spatial and statistical analysis Readily available, easy to use, free, GIS software add-in Website describing software functionality and applications Code repository for others to integrate into their work Tu​torials and sample analyses  

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