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Tools and Technology

We develop advanced technologies such as remote sensing, autonomous vehicles, artificial intelligence, and genetic tools to assess species population and health and improve models that incorporate climate change impacts to predict biodiversity response. These tools help managers develop a more accurate and comprehensive understanding of species population trajectories and distribution shifts.

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Northeast Amphibian Research and Monitoring Initiative

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.
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Northeast Amphibian Research and Monitoring Initiative

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.
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Use and History of the North Pacific Pelagic Seabird Database (NPPSD)

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.
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Use and History of the North Pacific Pelagic Seabird Database (NPPSD)

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.
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Enabling AI for citizen science in fish biology

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...
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Enabling AI for citizen science in fish biology

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...
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Decision Science Support for SARS-CoV-2 Risk to North American Bats

The Eastern Ecological Science Center is working closely with federal, state, and tribal partners to help inform decisions that reduce the risk of SARS-CoV-2 transmission from humans to North American wildlife, including bats.
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Decision Science Support for SARS-CoV-2 Risk to North American Bats

The Eastern Ecological Science Center is working closely with federal, state, and tribal partners to help inform decisions that reduce the risk of SARS-CoV-2 transmission from humans to North American wildlife, including bats.
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Strategic Habitat Conservation for Gulf Sturgeon

WARC researchers partnered with Gulf Sturgeon decision makers and biologists to develop a Bayesian network model that uses habitat characteristics to predict the quantity of juvenile winter foraging habitat under alternative river discharge and timing of juvenile arrival scenarios.
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Strategic Habitat Conservation for Gulf Sturgeon

WARC researchers partnered with Gulf Sturgeon decision makers and biologists to develop a Bayesian network model that uses habitat characteristics to predict the quantity of juvenile winter foraging habitat under alternative river discharge and timing of juvenile arrival scenarios.
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Strategic Habitat Conservation for Brown Pelican

WARC researchers partnered with managers and species experts to develop a Bayesian network model and a geospatial habitat characteristics dataset to predict the number of Brown Pelican breeding pairs on islands in the northern Gulf of Mexico.
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Strategic Habitat Conservation for Brown Pelican

WARC researchers partnered with managers and species experts to develop a Bayesian network model and a geospatial habitat characteristics dataset to predict the number of Brown Pelican breeding pairs on islands in the northern Gulf of Mexico.
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Decision science support for Chronic Wasting Disease

Eastern Ecological Science Center adds the decision analytical skill set to the existing body of USGS expertise on Chronic Wasting Disease (CWD), in support of our sister DOI agencies.
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Decision science support for Chronic Wasting Disease

Eastern Ecological Science Center adds the decision analytical skill set to the existing body of USGS expertise on Chronic Wasting Disease (CWD), in support of our sister DOI agencies.
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Strategic Habitat Conservation for Beach Mice (Peromyscus polionotus ssp.)

WARC researchers partnered with beach mice managers and biologists to estimate habitat objectives and the amount of effort needed to achieve the habitat objective (i.e., management efficiency) for three beach mice subspecies in Florida’s panhandle.
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Strategic Habitat Conservation for Beach Mice (Peromyscus polionotus ssp.)

WARC researchers partnered with beach mice managers and biologists to estimate habitat objectives and the amount of effort needed to achieve the habitat objective (i.e., management efficiency) for three beach mice subspecies in Florida’s panhandle.
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Development and Implementation of Environmental DNA (eDNA) Tools to Aid Listing and Recovery Efforts for Imperiled and Common Freshwater Mussels

Researchers will develop and optimize an eDNA assay to delineate the current distribution of P. inflatus . The assay will then be used to provide up-to-date distributional information and detection rates for P. inflatus in the Pearl River basin.
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Development and Implementation of Environmental DNA (eDNA) Tools to Aid Listing and Recovery Efforts for Imperiled and Common Freshwater Mussels

Researchers will develop and optimize an eDNA assay to delineate the current distribution of P. inflatus . The assay will then be used to provide up-to-date distributional information and detection rates for P. inflatus in the Pearl River basin.
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Understanding Avian Habitat Availability and Use After Barrier Island Restoration in Coastal Louisiana

Using ecological and geographical data, WARC researchers and their partners are analyzing avian and benthic sampling on Whiskey Island and Caminda Headland to compare pre- and post-restoration aspects of habitat occupancy, habitat availability, habitat use, and kernal density estimation.
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Understanding Avian Habitat Availability and Use After Barrier Island Restoration in Coastal Louisiana

Using ecological and geographical data, WARC researchers and their partners are analyzing avian and benthic sampling on Whiskey Island and Caminda Headland to compare pre- and post-restoration aspects of habitat occupancy, habitat availability, habitat use, and kernal density estimation.
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Bison Conservation

USGS science in support of the Department of the Interior's Bison Conservation Initiative.
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Bison Conservation

USGS science in support of the Department of the Interior's Bison Conservation Initiative.
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A Multiscale Approach to Understanding Migratory Landbird Habitat Use of Functional Stopover Habitat Types and Management Efforts

USGS scientists are using a spatially-explicit Bayesian network model to predict the difference between energetic value and energetic demand for stopover habitats for migrating landbirds.
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A Multiscale Approach to Understanding Migratory Landbird Habitat Use of Functional Stopover Habitat Types and Management Efforts

USGS scientists are using a spatially-explicit Bayesian network model to predict the difference between energetic value and energetic demand for stopover habitats for migrating landbirds.
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