Tools and Technology

Rainbow trout are a desirable sport fish that have been introduced in many locations around the world, including the Colorado River. Although introductions of rainbow trout and other nonnative fishes provide recreational fishing opportunities, they can also pose threats to native fish populations. The Glen Canyon Dam Adaptive Management Program has tasked scientists and managers with identifying...

Understanding the short- and long-distance movements of wildlife is critical for a wide variety of ecological research questions and management decisions. Since the mid-1980s, the USGS Alaska Science Center has used information from telemetry devices on wildlife species to determine locations of animals throughout their annual cycles, understand patterns of habitat use, quantify time spent on...

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...

We are building a 21st century wildlife monitoring system to inform resource management of the impacts of drought, wildfire, land use, climate change, and other landscape level stressors. The Automated Interactive Monitoring System (AIMS) for Wildlife will provide an actionable data stream by combining enormous quantities of wildlife movement data with environmental data and delivering it to...

Long-term wildlife monitoring is imperative for understanding population changes that can inform managers. However, working with population data collected by different organizations, across multiple jurisdictions, and over long time periods can be challenging due to different data management approaches and organizational priorities. Through this project, we aimed to collaborate with eleven state...

Wildlife management boundaries frequently lack biological context, such as information on habitat resource availability and wildlife movements. To address this, we developed multiple levels of biologically relevant and hierarchically nested greater sage-grouse ( Centrocercus urophasianus ) population units that could facilitate management and conservation of populations and habitats.

The North Pacific Pelagic Seabird Database (NPPSD) contains survey transect data designed and conducted by numerous partners primarily to census seabirds at sea. The NPPSD includes more than 486,000 transect segments and includes observations of over 20 million birds of 258 species collected over the span of 50 years (from 1973 to 2022).

The U.S. Geological Survey’s Eastern Ecological Science Center is home to the Northeast Amphibian Research and Monitoring Initiative (NEARMI), one of 7 ARMI regions across the United States. NEARMI works on public lands in thirteen states from Maine to Virginia, including many National Parks and National Wildlife Refuges.

Data on the distribution and abundance of seabirds at sea have been used for many decades to assist in understanding the marine ecology of seabirds away from their breeding colonies, measure population status and trends, assess the impact of human activities on ocean habitats and fish stocks, and to identify critical marine habitats for seabirds.

Artificial Intelligence (AI) is revolutionizing ecology and conservation by enabling species recognition from photos and videos. Our project evaluates the capacity to expand AI for individual fish recognition for population assessment. The success of this effort would facilitate fisheries analysis at an unprecedented scale by engaging anglers and citizen scientists in imagery collection. This...