Landscape Science

Sagebrush ecosystems, one of the most imperiled in North America, face continued and widespread degradation due to multiple factors, including climate change, invasive species, and increased human development. Effective sagebrush management must consider how to best conserve and restore habitats to stem the decline of species that rely on them, especially given limited conservation resources. To...

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...

The Bureau of Land Management (BLM) is committed to using science-informed decision making for the public lands and resources that it manages. Uses on these lands are varied, and decisions are complex. USGS and BLM are working together to identify specific needs for data, science, methods, and mitigation actions that can strengthen the science foundation for BLM planning and management decisions.

The Bureau of Land Management (BLM) manages for conditions that sustain land health on over 1 million acres of public rangelands. The BLM has traditionally assessed rangelands using small-scale data, but agency guidance suggests assessment of land health standards at watershed scales. We are exploring methods to integrate remotely sensed data into BLM land health processes.

Scientific information is fundamental to understanding how proposed actions on public lands may impact the environment. However, agencies often have limited time to compile and synthesize existing science. We are working with the Bureau of Land Management to develop a new type of science product—short science syntheses—for facilitating use of the best available science in public lands decisions.

The use of rare plant habitat models in land management decisions can be constrained by issues surrounding data access, model quality, and institutional capacity, among other factors. This project seeks to understand challenges associated with using habitat models and explore avenues for addressing these challenges to facilitate greater use of habitat models in public lands decision making.

The National Environmental Policy Act (NEPA) requires federal agencies to assess potential impacts of proposed actions as part of their decision-making processes. Assessing potential cumulative effects is a challenging component of NEPA analyses. We are working with the Bureau of Land Management to develop a process that staff can use to strengthen cumulative effects analyses.

USGS scientists are developing multiple products to directly inform the Bureau of Land Management's Sage-grouse Habitat Assessment Framework process.

Using the existing rangewide genetic and demographic data, scientists from the USGS, USDA Forest Service, and University of Waterloo will assess the relative contributions of habitat and genetic connectivity to lek size and stability.

Management agencies are increasingly restoring sagebrush systems by removing conifers. These treatments likely result in mixed effects for wildlife species, and wildlife response may vary across the landscape. Declining sagebrush and pinyon-juniper associated bird populations highlight a clear need for tools that can help guide conifer management across the sagebrush ecosystem.

USGS and Colorado State University scientists are modelling multispecies connectivity through intact and disturbed areas of the sagebrush landscape.

USGS and Colorado State University scientists are using data and hierarchical community models to create predictive surfaces of bird use by habitat type and comparing these predictions to habitat prioritization derived from sage-grouse locations.