Projects by Region

Resource managers, policymakers, and scientists require tools to inform water resource management and planning. Information on hydrologic factors – such as streamflow, snowpack, and soil moisture – is important for understanding and predicting wildfire risk, flood activity, and agricultural and rangeland productivity, among others. Existing tools for modeling hydrologic conditions rely...

Cheatgrass began invading the Great Basin about 100 years ago, changing large parts of the landscape from a rich, diverse ecosystem to one where a single invasive species dominates. Cheatgrass dominated areas experience more fires that burn more land than in native ecosystems, resulting in economic and resource losses. Therefore, the reduced production, or absence, of cheatgrass in...

In the Great Plains, climate change is expected to result in more frequent and intense droughts, severe rainfall events, and heat waves. Adapting to changing conditions will require coordination in the research and observation capabilities of multiple organizations, institutions, and government programs. In light of these needs, researchers worked with federal, state, tribal, university...

The bull trout, listed as threatened under the Endangered Species Act, is well adapted to the cold waters of the Northwest. Recent changes in climate have caused winter flooding and warmer summer water temperatures in the region, reducing the cold-water habitats that bull trout depend on. The southernmost bull trout populations, found in Oregon, Washington, Idaho, Montana, and Nevada...

Researchers from North Carolina State University and the USGS integrated models of urbanization and vegetation dynamics with the regional climate models to predict vegetation dynamics and assess how landscape change could impact priority species, including North American land birds. This integrated ensemble of models can be used to predict locations where responses to climate change are...

The broad range of complex factors influencing coastal systems contribute to large uncertainties in predicting long-term sea level rise impacts. Researchers demonstrated the capabilities of a Bayesian network (BN) to predict long-term shoreline change associated with sea level rise and make quantitative assessments for predicting uncertainty. A BN was used to define relationships between...

A team of USGS and academic researchers developed a comprehensive web-based dataset of high-resolution (or ‘downscaled’) climate change projections, enabling scientists and decision-makers to better assess climate related ecosystem impacts. The research team implemented a three-part plan to provide high resolution climate data for the impact modeling community. First, a database was...

The Southeastern United States spans a broad range of physiographic settings and maintains exceptionally high levels of faunal diversity. Unfortunately, many of these ecosystems are increasingly under threat due to rapid human development, and management agencies are increasingly aware of the potential effects that climate change will have on these ecosystems. Natural resource managers...

A hydrologic model was developed as part of the Southeast Regional Assessment Project using the Precipitation Runoff Modeling System (PRMS), a deterministic, distributed-parameter, process-based system that simulates the effects of precipitation, temperature, and land use on basin hydrology. Streamflow and other components of the hydrologic cycle simulated by PRMS were used to inform...

USGS researchers assessed how climate change can affect land cover and flow in river systems, examining a variety of resolutions for detecting and projecting the conditions of aquatic habitats and species.

The USGS and South Atlantic LCC worked with stakeholders and managers across the Southeast to identify and assess landscape-level strategies for conserving multiple species. These strategies incorporated predictions from downscaled climate models, sea level rise, and changes to aquatic and terrestrial habitats.

The Southeastern United States spans a broad range of physiographic settings and maintains exceptionally high levels of faunal diversity. Unfortunately, many of these ecosystems are increasingly under threat due to rapid human development, and management agencies are increasingly aware of the potential effects that climate change will have on these ecosystems. Natural resource managers...