Data Management and Delivery
Data Management and Delivery
It is a difficult task to determine the desirable environmental targets for aquatic resource managers, because of a myriad of physical, hydrological, and biological processes affecting aquatic ecosystems and hydroscapes, the complexity of interactions and the multifaceted information, and substantial levels of uncertainty. Computer-based Decision Support Systems (DSS) can help integrate and communicate scientific information and analyses, and thus provide support tools for decisionmaking. The AS Branch is working on DSS development to generate spatially explicit indices of habitat suitability for various flow scenarios.
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The Strain and Genetic Online Tissue Repository for Chronic Wasting Disease
The Strain and Genetic Online Tissue Repository (SAGOTR) is being developed by the USGS Fort Collins Science Center to document, track, discover, and request physical samples of Chronic Wasting Disease (CWD). SAGOTR connects natural resource managers, tissue repositories, and researchers in one online platform, making it easier to locate and share samples and support research and management of CWD...
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...
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...
Social and economic analysis research in support of public safety, outdoor recreation, and economic growth
FORT researchers provide sound science to support the Department of the Interior in its efforts to reduce the risks wildfires pose to people and property, expand outdoor recreation and tourism opportunities, and promote economic decision making in public lands management. This research is developed in partnership with resource managers from local, State, Federal and Tribal governments, industry...
Land management research in support of streamlined energy development, economic growth, and wildfire management
FORT researchers provide sound science to support the Department of the Interior in its efforts to streamline reliable energy development, enhance cost efficiency in public lands management, and manage fire-prone habitats for public safety. This research is developed in partnership with resource managers from local, State, Federal and Tribal governments, industry, and nongovernmental organizations...
Estimating locally relevant scales of effect for population trends of a species of conservation concern
Wildlife movement and distribution can be influenced by local conditions like topography and landscape features, and the distances within which species respond to their landscape – scales of effect – can vary over space and time. We are estimating scales of effect for wildlife population trends to help land managers determine the distance within which wildlife will respond to landscape change.
North American Bat Monitoring Program (NABat)
Bats are essential contributing members of healthy, functioning ecosystems. They perform numerous ecosystem services like insect pest control and plant pollination, and provide enormous economic benefits through ecotourism, medical research, and novel biotechnologies. North American bats face unprecedented threats including habitat loss and fragmentation, white-nose syndrome, and wind energy...
Fostering greater use of habitat models for managing rare and invasive plants on public lands
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...
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: Targeted Annual Warning System Information Sheet
The Greater Sage-grouse Population Monitoring Framework fills a prominent information gap to aid current assessments of sage-grouse population trends across spatial and temporal scales. It centers on four objectives: 1) create a standardized database of lek counts; 2) cluster leks to develop spatial population structures; 3) estimate spatial trends across temporal extents; and 4) develop a system...
Greater Sage-Grouse Population Monitoring Framework: Glossary of Terms
The Greater Sage-grouse Population Monitoring Framework fills a prominent information gap to aid current assessments of sage-grouse population trends across spatial and temporal scales. It centers on four objectives: 1) create a standardized database of lek counts; 2) cluster leks to develop spatial population structures; 3) estimate spatial trends across temporal extents; and 4) develop a system...
Greater Sage-Grouse Population Monitoring Framework: Frequently Asked Questions
The Greater Sage-grouse Population Monitoring Framework fills a prominent information gap to aid current assessments of sage-grouse population trends across spatial and temporal scales. It centers on four objectives: 1) create a standardized database of lek counts; 2) cluster leks to develop spatial population structures; 3) estimate spatial trends across temporal extents; and 4) develop a system...