Effects on Plants

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...

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.

City of Rocks National Reserve and Craters of the Moon National Monument and Preserve are lands managed by the National Park Service that contain ecologically valuable stands of sagebrush and unique forest communities that are at risk due to wildfire and invasion by exotic annual grasses. We are working to determine the extent of invasion and to provide park managers with wildfire risk assessments...

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...

Land managers require clear, forward-looking information about where and how vegetation treatments may make the greatest difference for drought resilience in sagebrush and woodland ecosystems. We are using soil moisture and vegetation data from SageSTEP-- a long-term ecological study on fuel treatments in the Great Basin-- to analyze soil moisture dynamics and vegetation responses after common...

Arid shrublands of western North America face growing threats from disturbances such as wildfire, drought, and invasive species. These threats are increasingly altering the sagebrush ( Artemisia species) biome and degrading habitat for species of conservation concern such as greater sage-grouse ( Centrocercus urophasianus ). Effective management and restoration are needed to slow or reverse these...

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.

To support strategic ecosystem management across the imperiled sagebrush steppe in Wyoming, USA, we developed an extension of the Prioritizing Restoration of Sagebrush Ecosystems Tool (PReSET). Our expanded tool leverages emerging spatial data resources to provide a structured but customizable set of scenarios that can guide landscape-scale planning efforts by prioritizing conservation and...

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...