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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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...
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...
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...
Shrubland Alpine & 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...
North American Bat Monitoring Program (NABat)
North American bats face unprecedented threats including habitat loss and fragmentation, white-nose syndrome, wind energy development, and climate change. However, it is difficult to evaluate the impacts of these threats due to a lack of basic information about the distribution and abundance of bats across the continent. Although bat monitoring has long been conducted in individual areas and for...
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...
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...