Land Management

Researchers within the U.S. Geological Survey (USGS) and Colorado State University (CSU) worked with BLM and State Wildlife Agencies to develop a hierarchical population monitoring framework for managing greater sage-grouse ( Centrocercus urophasianus ) populations and the sagebrush ecosystems that they depend upon for survival and reproduction. This hierarchical population monitoring strategy now...

Greater sage-grouse ( Centrocercus urophasianus ) are at the center of state and national land use policies largely because of their unique life-history traits as an ecological indicator for health of sagebrush ecosystems. Researchers within the U.S. Geological Survey (USGS) and Colorado State University (CSU) worked with the Bureau of Land Management (BLM) and state wildlife agencies to develop a...

Land and wildlife managers require accurate estimates of sensitive species’ trends to help guide conservation decisions that maintain biodiversity and promote healthy ecosystems. Researchers within the U.S. Geological Survey (USGS) and Colorado State University (CSU) worked with the Bureau of Land Management (BLM) and State Wildlife Agencies to develop a hierarchical population monitoring...

Land and wildlife managers require accurate estimates of sensitive species’ trends to help guide conservation decisions that maintain biodiversity and promote healthy ecosystems. Researchers within the U.S. Geological Survey (USGS) and Colorado State University (CSU) worked with the Bureau of Land Management (BLM) and State Wildlife Agencies to develop a hierarchical population monitoring...

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.

Habitat models can provide critical information on the current and potential distribution of plant species, as well as help target and support conservation efforts. Despite their potential utility in public land management, model use may be constrained by a variety of factors including staff access to and trust in models. In this project, we seek to bring together model users and model developers...

The National Environmental Policy Act (NEPA) requires federal public land managers to assess potential environmental impacts of proposed actions. The USGS, Bureau of Land Management, US Fish and Wildlife Service, Colorado State University, and North Central Climate Adaptation Science Center are working together to develop science syntheses that can facilitate considerations of climate change in...

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)...

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 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...

Through a collaborative effort with multiple state and federal agencies, university researchers, and individual stakeholders, we are producing a set of predictive seasonal habitat maps for greater sage-grouse ( Centrocercus urophasianus ) spanning the entirety of the species’ U.S. distribution. This is the largest habitat modeling effort of its kind for the species and uses a large, compiled...

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...