Quantitative Modeling
Quantitative Modeling
A requirement for managing a species, be it a common native species, a species of conservation concern, or an invasive species, is having some information on its distribution and potential drivers of distribution. Branch scientists have been tackling the question of where these types of species are and where they might be in the future. Focus species are as varied as the invasive tamarisk, Russian olive, Africanized honey bee and nutria to the federally threatened Lesser Prairie chicken and others. These and other species are modeled at a variety of spatial scales, from park or wildlife refuge to global levels. Models use various predictor layers that can include current and future climate layers (near- and long-term projections), remote-sensing derivatives (such as MODIS phenology metrics), land cover, topography, and anthropogenic features.
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Shrubland, Alpine and Grassland Ecology (SAGE) Wildlife Research Group
The SAGE Wildlife Research Group consists of a large team of research scientists with an interest in conservation and management of wildlife and their ecosystems. Broadly, research involves understanding animal-habitat relationships, with an emphasis on conservation ecology and population demography, and a focus on shrubland, alpine, and grassland ecosystems. We are addressing the effects of...
INHABIT: A web tool for invasive plant management across the contiguous United States
INHABIT is a desktop-optimized web application and decision support tool with mapped and tabular summaries of habitat suitability models for over two hundred fifty terrestrial invasive plant species of management concern across the contiguous United States. It is the product of a scientist-practitioner partnership and is designed to facilitate enhanced invasive species management actions...
Assessing vegetation and avian community response to juniper reduction treatments in Southwest Montana
The Southwest Montana Sagebrush Partnership (SMSP) team, including land managers, landowners, and scientists, is implementing conifer removal projects encompassing over 55,000 acres of private, state, and federal lands throughout the region. To date, little place-based information exists regarding likely vegetation and bird responses to such treatments in Southwestern Montana. To address this...
Mapping wild horse densities across broad landscapes of the Western United States
Researchers at USGS are using historical wild horse survey and monitoring records to conduct a study of horse density across sagebrush ecosystems of the western United States. Researchers will develop generalized density maps for the species that will enhance concurrent evaluations into the ecological effects of wild horse populations.
Developing habitat models for rare plants to inform decision making on multiple-use public lands
Public lands provide important habitat for many rare plants. However, public lands often need to accommodate many other uses, including traditional and renewable energy development, in addition to conservation. We are working with the Bureau of Land Management to coproduce ensemble habitat suitability models that can inform agency planning and permitting decisions that may impact rare plants.
Developing a step-by-step process for assessing cumulative effects in the Bureau of Land Management
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. The USGS is working with the Bureau of Land Management to develop a process that public land managers can use to strengthen cumulative effects analyses.
Greater Sage-Grouse Population Monitoring Framework: Cheat Sheet
The Greater Sage-grouse Population Monitoring Framework fills a prominent information gap to help inform current assessments of sage-grouse population trends at nested spatial and temporal scales. It is centered on four objectives: (1) create a standardized database of lek counts; (2) develop spatial population structures by clustering leks; (3) estimate spatial trends at different temporal...
Greater Sage-Grouse Population Monitoring Framework Data Inputs Information Sheet
To support management decisions, western state wildlife agencies identified the need for a range-wide database that tracks annual counts of greater sage-grouse ( Centrocercus urophasianus; sage-grouse) at leks (breeding sites), recorded since the early 1950s. Researchers at Colorado State University (CSU) and U.S. Geological Survey (USGS) worked with state wildlife agencies to 1) construct this...
Greater Sage-Grouse Population Monitoring Framework
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...
Predicting Recovery of Sagebrush Ecosystems Across the Sage-grouse Range from Remotely Sensed Vegetation Data
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, projections of future...
Gunnison Sage-grouse Prioritizing Restoration of Sagebrush Ecosystems Tool (PReSET)
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.
Modeling Songbird Density-Habitat Relationships to Predict Population Responses to Environmental Change Within Pinyon-juniper and Sagebrush Ecosystems
Within areas of overlapping sagebrush and pinyon-juniper ecosystems, wildlife populations are declining due to habitat fragmentation and degradation, changing environments, and human development. However, management to bolster species associated with one ecosystem may result in negative consequences for species associated with the other. Thus, land managers are challenged with balancing which...