Ecosystem Restoration

Climate change-induced warming can alter plant phenology and disrupt ecosystems like the sagebrush steppe in western North America. The invasive annual grass cheatgrass can thrive under these altered conditions, exacerbating wildfires and threatening wildlife habitat, carbon storage, and other important ecosystem services. We are studying how different densities of cheatgrass respond to increased...

Sagebrush ecosystems and sagebrush-dependent wildlife species are likely to experience more frequent extreme drought and temperature conditions with changing climate. Greater sage-grouse ( Centrocercus urophasianus ), an indicator species in sagebrush ecosystems, may experience habitat and population losses that are increasingly exacerbated by current and future climate change. However, the direct...

To support the Bipartisan Infrastructure Law Ecosystem Restoration program, we are developing 1) a document highlighting remote sensing approaches that can be leveraged for site prioritization, recovery design, and long-term assessments of recovery trends, and 2) data products of vegetation conditions, change, recovery potential, and risk of exotic plant invasion on mine lands. We will incorporate...

Approximately 35% of the US and approximately 82% of DOI lands are “drylands” found throughout the western US. These lands contain oil, gas, oil shale, shale oil, and tar sand deposits and the exploration for and extraction of these resources has resulted in hundreds of thousands of operating and abandoned wells across the West. These arid and semi-arid lands have unique soil and plant communities...

In partnership with the United States Fish and Wildlife Service, and other partners, scientists from USGS Fort Collins Science Center are working to create a suite of prioritization scenarios that will inform adaptive management for Gunnison sage-grouse.

We are working with Colorado Parks and Wildlife (CPW) to pilot an expansion of the Prioritizing Restoration of Sagebrush Ecosystems Tool (PReSET; Duchardt et al. 2021) across northwestern Colorado. We are in the initial phase of a two-phase project where we are leveraging existing data resources to provide customized scenarios that directly guide landscape-scale conservation delivery by CPW. This...

Invasive annual grasses can replace native vegetation and alter fire behavior, impacting a range of habitats and species. A team of researchers from the U.S. Geological Survey, Colorado State University, the Bureau of Land Management, and the U.S. Fish and Wildlife Service are working to identify factors that influence changes in the distribution and abundance of invasive annual grasses (IAGs)...

In an era of rapid land use changes and shifting climates, it is imperative that land managers and policymakers have actionable and current information available for decision processes. In this work, we seek to meet these needs through new data products and decision support tools built on digital soil mapping, new vegetation cover maps, agency inventory and monitoring data sets, and cutting-edge...

Wildlife management is frequently conducted to benefit a single species, despite evidence that suggests such an approach often fails to adequately address the needs of other species within a region. Managing for multiple species’ habitat requirements is even more critical when large scale habitat management efforts change vegetation conditions at the landscape scale, or when management occurs at...

We are investigating ecosystem transitions and thresholds in the sagebrush steppe, studying factors influencing the shift from native to invaded plant communities after disturbances like fire. Our research tests region-wide resistance and resilience models, focusing on real-world recovery patterns, pre-fire conditions, plant succession, and land management treatments.

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...

USGS researchers are using remote-sensing and other broadscale datasets to study and predict recovery of sagebrush across the sage-grouse range, assessing influence of disturbance, restoration treatments, soil moisture, and other ecological conditions on trends in sagebrush cover. The results will be used to inform conservation prioritization models, economic analyses, climate change projections...