Fire
Fire
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Developing searchable annotated bibliographies for resource managers
Resource management decisions need to be informed by up-to-date, quality science and data. However there is sometimes an overwhelming number of scientific publications for managers to consider in their decisions. This project provides concise summaries of recent, peer-reviewed science and data products about different resources and topics of management concern, integrated into a searchable tool.
Predicting risk of annual grass invasion following fire in sagebrush steppe and rangeland ecosystems
This project analyzes on-the-ground plant monitoring data across sagebrush and rangeland ecosystems to examine how fire, climate, topography, and plant communities influence the success of invasive annual grasses after fires.
Predicting the phenology of invasive grasses under a changing climate to inform mapping and management
Cheatgrass, an invasive annual grass, reduces ecosystem productivity, negatively impacts biodiversity, and is increasingly problematic in higher elevation ecosystems with climate change. Cheatgrass phenology (that is, the timing of yearly growth and lifespan) varies greatly with elevation, climate, and weather from year to year, which can make management planning difficult and reduce the ability...
Soil-climate for Managing Sagebrush Ecosystems
Soil-climate describes the temperature and moisture conditions important for plant growth and function. Soil condition patterns determine which vegetation is most abundant, thus controlling which habitats, invasive species, fuels, and economic activities are present in a region. Here, we use a model to simulate the vertical movement of water in a soil profile to provide insights into landscape...
Climate Averages of Soil-climate for Sagebrush Ecosystems
Soil conditions are a key part of functioning ecosystem and affect the distribution and abundance of plants, forage production, and habitat patterns. The distribution of soil conditions, as well as other environmental factors such as precipitation, temperature, geology, topography, and vegetation determine the patterns and dynamics of wildlife habitats and biodiversity across the landscape. We...
Assessing invasive annual grass treatment efficacy across the sagebrush biome
We are using existing datasets that span broad spatial and temporal extents to model the efficacy of invasive annual grass treatments across the sagebrush biome and the influence of environmental factors on their success. The models we develop will be used to generate maps of predicted treatment efficacy across the biome, which will be integrated into the Land Treatment Exploration Tool for land...
Using simulation models to project and evaluate post-fire success in restoring sage-grouse habitat over large landscapes
Wildfires are increasingly destroying wildlife habitat in sagebrush ( Artemisia species) ecosystems, and managers need approaches to scope the pace and degree to which post-fire restoration actions can re-create habitat in dynamic landscapes. Sagebrush recovery takes a long time, and it can be difficult to anticipate restoration outcomes over large, diverse landscapes that have experienced decades...
Simulating the influence of sagebrush restoration on post-fire sage-grouse population recovery
Increased wildfire-induced loss of sagebrush in North American shrublands are outpacing natural recovery and leading to substantial habitat loss for sagebrush-obligate species like sage-grouse. Transplanting sagebrush ( Artemisia species) is a possible strategy for revegetating burned areas, but little is known about sage-grouse or other wildlife responses to restoration strategies.
Long-term, Place-based, Science and Ecological Monitoring
For over 30 years we have monitored the ecosystem dynamics of the mesas and mountains of northern New Mexico, co-located with mangers. We use a place-based science approach, defined as “science that is founded on long-term, repeated, field data and observations, as well as traditional knowledges, and regularly engages local managers and community members.” This approach enables us to provide land...
Invasive Annual Grass (IAG) Spatial Dataset Compilation and Synthesis
USGS is working closely with partners in the Bureau of Land Management (BLM), U.S. Fish and Wildlife Service (USFWS), and the Intermountain West Joint Venture (IMJV) to collect and summarize spatial datasets that describe measurable aspects of invasive annual grasses (e.g., biomass or presence) across the western United Stated and beyond. The products developed through this project provide...
Social and Economic Analysis (SEA) Branch
The Social and Economic Analysis (SEA) branch is an interdisciplinary group of scientists whose primary functions are to conduct both theoretical and applied social science research, provide technical assistance, and offer training to support the development of skills in natural resource management activities.
Joint Fire Science Program Evaluation
The Joint Fire Science Program is a partnership between the Department of the Interior and the U.S. Forest Service that connects relevant fire science research with stakeholders. USGS Scientists are supporting the Joint Fire Science Program by assessing the science needs of its stakeholders in order to inform future decision making.