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.
Filter Total Items: 22
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: Trends Analysis Information Sheet
Land and wildlife managers require accurate estimates of sensitive species’ trends to help guide conservation decisions that maintain biodiversity and promote healthy ecosystems. Accurately assessing greater sage-grouse ( Centrocercus urophasianus; sage-grouse) population trends can be difficult because (1) missing lek counts or incomplete repeat counts, (2) variation in counts of sage-grouse from...
A user-friendly decision support tool for monitoring and managing greater sage-grouse populations
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...
A targeted annual warning system (TAWS) for identifying aberrant declines in greater sage-grouse populations
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...
Spatiotemporal conditions of vegetation and invasive plant species on mine lands.
To support the Department of Interior's bureaus, states, and local communities, we are developing 1) a document highlighting remote sensing approaches that can be leveraged for site prioritization, recovery design, and long-term assessments of recovery trends, and 2) data products of vegetation conditions, change, recovery potential, and risk of exotic plant invasion on mine lands. We will...
Wild horse and livestock influences on vegetation and wildlife in sagebrush ecosystems: Implications for refining and validating Appropriate Management Level (AML)
USGS researchers are conducting a comprehensive study of wild horse and livestock records across the greater sage-grouse range to investigate impacts on vegetation and wildlife (specifically, sage-grouse and songbirds). Researchers will use these results to evaluate Appropriate Management Levels for wild horse and burros, and projections of vegetation productivity under changing conditions.
Mapping Grassland Bird Community Distribution under a Changing Landscape
Researchers from the U.S. Geological Survey, the U.S. Department of Agriculture-Agricultural Research Service, and University of Arizona are studying the distribution of grassland bird communities across the western Great Plains to anticipate how species distributions may respond to a changing landscape.
SageDAT: Data and Tools To Support Collaborative Sagebrush Ecosystem Conservation and Management
The USGS, the BLM, the FWS, and the Western Association of Fish and Wildlife Agencies have developed of a new DOI-funded effort, known as SageDAT.
WNS Data Management Coordination
White-nose syndrome (WNS) is a disease responsible for unprecedented mortality in hibernating bats in the northeastern U.S. This previously unrecognized disease has spread very rapidly since its discovery in January 2007 and poses a considerable threat to hibernating bats throughout North America.
Surface Disturbance and Reclamation Tracking Tool (SDARTT)
The Bureau of Land Management (BLM) and the United States Geological Survey (USGS) have partnered to create the Surface Disturbance Analysis and Reclamation Tracking Tool (SDARTT). SDARTT is to be the national repository for and analysis tool of disturbance data pertaining to public land operations for the BLM. Users will upload disturbance and reclamation data to SDARTT to map, analyze, and...