Research
Technical Assistance
Graduate education
Cooperative Research Units
Established in 1935 at Iowa State University, our mission is our hallmark: work with University students to develop the conservation workforce, help decision-makers make complex conservation decisions, and to provide technical assistance between natural resource agencies and universities. We support 43 units located in 41 States, at 44 host universities. Our Program Office is in Reston, Virginia.
2023 Year in Review
2023 Year in Review
We have more than 700 research projects under way and generate 400-500 scientific publications annually.
10-year Overview
10-year Overview
Supporting Fish and Wildlife agency partners for natural resource management since 1935.
Where's our Science?
Where's our Science?
We support 43 units in 41 states, at 44 host universities, with a Program office at USGS National Center.
News
Effects of cattle grazing on demographic traits of greater sage-grouse
Effects of cattle grazing on demographic traits of greater sage-grouse
U.S. Geological Survey Pollinator Science Strategy, 2025–35—A Review and Look Forward
U.S. Geological Survey Pollinator Science Strategy, 2025–35—A Review and Look Forward
Scientists with the North American Bat Monitoring Program (NABat) coauthor new, more comprehensive method for estimating bat species distributions and trends over time
Scientists with the North American Bat Monitoring Program (NABat) coauthor new, more comprehensive method for estimating bat species distributions and trends over time
Publications
Spatiotemporal drivers of water quality and phytoplankton communities in a cyanobacteria-dominated reservoir provide management insights Spatiotemporal drivers of water quality and phytoplankton communities in a cyanobacteria-dominated reservoir provide management insights
Reservoirs serve critical roles providing drinking water, irrigation, flood control, hydropower, recreation, fisheries, and aquatic habitat. Yet their physical position, complex shape, and large watersheds make reservoirs especially susceptible to eutrophication and harmful algal bloom (HAB) production. Boysen Reservoir, WY, is a high priority for proactive nutrient management because it...
Causes of differential migration distance: Test of seven mechanistic hypotheses in an arctic raptor Causes of differential migration distance: Test of seven mechanistic hypotheses in an arctic raptor
Exploring the causes of differential migration, or variation in migration distance, has increased our understanding of the remarkable variation in migratory behavior exhibited by birds more generally. However, considerable uncertainty exists regarding the mechanisms underlying differential migration distance in birds despite it being a common phenomenon. We leveraged migration distances...
Evaluating mark–resight survey design performance using simulation: A case study of endangered Steller sea lions Evaluating mark–resight survey design performance using simulation: A case study of endangered Steller sea lions
Effective monitoring is fundamental to estimating wildlife population parameters with a level of accuracy and precision that is adequate to inform management decisions. However, managers must balance trade-offs between the costs of monitoring and the resulting data quality to identify cost-effective monitoring survey designs. As such, evaluating the expected performance of monitoring...
Science
USGS Ecosystems Science Strengthening America's Hunting and Fishing Heritage
USGS science is vital for securing the hunting and fishing traditions many Americans value. By studying wildlife populations, habitats, and health, the USGS provides essential information that helps ensure these outdoor activities can continue to thrive.
USGS Alaska Science Center Wildlife Tracking Data Collection
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...
Artificial Intelligence in the USGS Ecosystems Mission Area
As a data-driven bureau, the USGS Ecosystem Mission Area (EMA) relies on artificial intelligence (AI) to efficiently gather, analyze, and deliver natural resource information to Federal, State, Tribal, academic, and industry partners. USGS EMA scientists are developing and testing innovative uses of AI, including machine learning, deep neural network models, and photogrammetry, to streamline the...
By
Ecosystems Mission Area, Biological Threats and Invasive Species Research Program, Climate Adaptation Science Centers, Cooperative Research Units, Ecosystems Land Change Science Program, Environmental Health Program, Land Management Research Program, Species Management Research Program, Chesapeake Bay Activities
