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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.

Filter Total Items: 124

Modeling Spatial Habitat Quality for the Cape Sable Seaside Sparrow

The Joint Ecosystem Modeling (JEM) team will develop species distribution models that incorporate hydrologic and habitat variables known to influence Cape Sable Seaside Sparrow occurrence.
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Modeling Spatial Habitat Quality for the Cape Sable Seaside Sparrow

The Joint Ecosystem Modeling (JEM) team will develop species distribution models that incorporate hydrologic and habitat variables known to influence Cape Sable Seaside Sparrow occurrence.
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Mapping riverine habitats of the Delaware River using bathymetric LiDAR

Ecosystem management and assessment of rivers requires detailed data on bathymetry before estimates of aquatic habitats can be determined. However, mapping bathymetry in shallow rivers is challenging due to river depth limitations for watercraft.
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Mapping riverine habitats of the Delaware River using bathymetric LiDAR

Ecosystem management and assessment of rivers requires detailed data on bathymetry before estimates of aquatic habitats can be determined. However, mapping bathymetry in shallow rivers is challenging due to river depth limitations for watercraft.
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Population Ecology of Florida Manatees

USGS is working with partners to understand how the federally protected Florida manatee population changes over time and responds to threats.
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Population Ecology of Florida Manatees

USGS is working with partners to understand how the federally protected Florida manatee population changes over time and responds to threats.
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Pre-listing Science Support in the Northeast

We are working closely with multiple partners to provide updated information, model potential outcomes, and identify key uncertainties relevant to amphibian and reptile species proposed for listing in the northeast US. We also provide timely science to partners to assist in recovery of listed species, which may involve field research, data analysis, or decision support.
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Pre-listing Science Support in the Northeast

We are working closely with multiple partners to provide updated information, model potential outcomes, and identify key uncertainties relevant to amphibian and reptile species proposed for listing in the northeast US. We also provide timely science to partners to assist in recovery of listed species, which may involve field research, data analysis, or decision support.
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Quantitative Framework to Model Risk of Collisions between Marine Wildlife and Boats

Collisons between wildlife and vehicles threaten many species, and can lead to human loss of life, injuries, and loss of property. USGS is developing models to help evaluate the effectiveness of wildlife protection zones and optimize the design of these protected areas.
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Quantitative Framework to Model Risk of Collisions between Marine Wildlife and Boats

Collisons between wildlife and vehicles threaten many species, and can lead to human loss of life, injuries, and loss of property. USGS is developing models to help evaluate the effectiveness of wildlife protection zones and optimize the design of these protected areas.
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Adaptive Harvest Management of European Geese

Pink-footed geese in Svalbard are a highly valued resource, but their increasing population causes conflicts with agricultural needs. USGS is devloping population models to help inform management of optimal harvest strategies.
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Adaptive Harvest Management of European Geese

Pink-footed geese in Svalbard are a highly valued resource, but their increasing population causes conflicts with agricultural needs. USGS is devloping population models to help inform management of optimal harvest strategies.
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Habitat Modeling for the Endangered Everglades Snail Kite and Its Prey

Joint Ecosystem Modeling (JEM) provides real-time habitat suitability models for species of interest in Everglades restoration planning, including the federally endangered Everglades snail kite.
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Habitat Modeling for the Endangered Everglades Snail Kite and Its Prey

Joint Ecosystem Modeling (JEM) provides real-time habitat suitability models for species of interest in Everglades restoration planning, including the federally endangered Everglades snail kite.
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Conservation Introductions: Enhancing Decision Support for the Pacific Northwest and Pacific Islands

This research effort is an interagency partnership between U.S. Geological Survey and U.S. Fish and Wildlife Service to systematically explore the issues, viewpoints, and concerns within the Service in relation to conservation introductions. Conservation introduction is the planned, intentional moving of species, populations or genotypes to a location outside a target’s native range.
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Conservation Introductions: Enhancing Decision Support for the Pacific Northwest and Pacific Islands

This research effort is an interagency partnership between U.S. Geological Survey and U.S. Fish and Wildlife Service to systematically explore the issues, viewpoints, and concerns within the Service in relation to conservation introductions. Conservation introduction is the planned, intentional moving of species, populations or genotypes to a location outside a target’s native range.
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Joint Ecosystem Modeling: Cape Sable Seaside Sparrow Helper

The Sparrow Helper tool allows for the evaluation of water management scenarios by generating, plotting, and mapping hydrologic metrics across a range of time scales to predict impacts of proposed water depth changes to sparrow subpopulations.
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Joint Ecosystem Modeling: Cape Sable Seaside Sparrow Helper

The Sparrow Helper tool allows for the evaluation of water management scenarios by generating, plotting, and mapping hydrologic metrics across a range of time scales to predict impacts of proposed water depth changes to sparrow subpopulations.
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Joint Ecosystem Modeling: Wader Distribution & Evaluation Modeling (WADEM)

WADEM (Wader Distribution Evaluation Modeling) is a JEM model that estimates species-specific habitat suitability across the landscape for Great Egret ( Ardea alba ), White Ibis ( Eudocimus albus ), and Wood Stork ( Mycteria americana ).
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Joint Ecosystem Modeling: Wader Distribution & Evaluation Modeling (WADEM)

WADEM (Wader Distribution Evaluation Modeling) is a JEM model that estimates species-specific habitat suitability across the landscape for Great Egret ( Ardea alba ), White Ibis ( Eudocimus albus ), and Wood Stork ( Mycteria americana ).
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Validation of Zinc and Nickel Biotic Ligand Models Based on Toxicity Testing in Natural Waters with Ceriodaphina dubia

Most states use outdated hardness-based criteria to regulate metals in surface waters. The slow adoption of new criteria based on biotic ligand models (BLMs) reflects uncertainty about whether these models can reliably predict toxic effects of metals on aquatic biota across the wide range of water quality conditions affecting bioavailability.
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Validation of Zinc and Nickel Biotic Ligand Models Based on Toxicity Testing in Natural Waters with Ceriodaphina dubia

Most states use outdated hardness-based criteria to regulate metals in surface waters. The slow adoption of new criteria based on biotic ligand models (BLMs) reflects uncertainty about whether these models can reliably predict toxic effects of metals on aquatic biota across the wide range of water quality conditions affecting bioavailability.
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Science Informing the Status and Trends of Migratory Birds

Through the Changing Arctic Ecosystems (CAE) Initiative, the U.S. Geological Survey (USGS) is informing key resource management decisions by better understanding how wildlife populations of special interest to the Department of the Interior (DOI) are responding to rapid physical changes in the Arctic. Below are some examples of how CAE research is informing decision-making on the status and trends...
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Science Informing the Status and Trends of Migratory Birds

Through the Changing Arctic Ecosystems (CAE) Initiative, the U.S. Geological Survey (USGS) is informing key resource management decisions by better understanding how wildlife populations of special interest to the Department of the Interior (DOI) are responding to rapid physical changes in the Arctic. Below are some examples of how CAE research is informing decision-making on the status and trends...
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