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From DNA-sampling robots and invasive species maps to genetic libraries and mosquito birth control, USGS scientists are hard at work building up ecological infrastructure for the nation.

APHIS created the webpage to make it easier for its customers to find critical information on pests and diseases of concern. With this tool, members of the public will have the information they need to report pests and diseases and together we can protect America’s agriculture and natural resources. This page lists all pest and disease programs managed by APHISas part of its mission to protect American agriculture and natural resources. Users can search by type (plant, animal), keyword (avian, fruit fly, cotton), or by the specific pest or disease (coconut rhinoceros beetle, brucellosis). You can also scroll through the page, which lists the pests and diseases alphabetically and includes a corresponding image.

The Aquatic eDNAtlas Project supports effective conservation and management of freshwater biota. Rocky Mountain Research Station scientists have been at the forefront of investigating and applying eDNA sampling for aquatic species.

The eDNAtlas allows land managers, scientists, and the public to access results from samples collected from aquatic systems throughout the U.S. The eDNAtlas database contains results from thousands of sites.

The ArboNET disease maps have been retired. To locate current and historical data for arboviral diseases, please visit the disease webpage of interest.

Provides comprehensive Asian longhorned beetle (ALB) information including: what to look for, how to prevent this pest and how it is treated. Also provides image gallery and information how to report signs of pest. And provides information for ALB cooperative eradication including: current status and quarantine information, APHIS' response, regulatory information, federal orders, information for cooperators and producers, ALB research, and reports and assessments.

Invasive species pose a threat across the United States and its territories, but they can be especially challenging for the U.S. South Pacific territory of American Samoa. Among the invasive pests menacing the territory are several non-native fire ant species. 

U.S. Customs and Border Protection (CBP) agriculture specialists throughout the United States are busy inspecting cut flower shipments ahead of Valentine’s Day in order to protect the nation from agricultural and floral pest risks.

Select layer to view quarantine by species (Asian citrus psyllid, citrus black spot, citrus canker,  citrus greening, sweet orange scab).
See related resource: Data Visualization Tools to explore plant and animal health management data and interactive story maps

DisMAP provides easy access to information to track and understand distributions of marine species in the U.S. Marine Ecosystems. Launch the portal to explore, visualize and interact with information on marine species distributions. The portal  is part of NOAA Fisheries ongoing efforts to increase the delivery and use of climate-related information to advance climate-smart science and management decisions.  The portal enables users to view, download, dynamically explore and visualize data and information on species distributions. Specifically, users can explore changes in species distributions on a map and view time series graphs showing changes in key metrics of a species distribution (e.g., average latitude, average depth) over time for over 800 species collected in NOAA bottom trawl surveys.
See also: NOAA Showcases New Mapping Tool for Marine Species: Data Reveals Fish are Shifting into Different Waters (News Release - Apr 19, 2022)

View the updated regional infestation map for Laurel Wilt Disease (for initial detection in May 2002. Map is updated periodically (USDA,FS - Forest & Grassland Health).

The first 2021/2022 detection of Eurasian strain (EA) highly pathogenic avian influenza (HPAI) H5N1 in North America occurred in December 2021 in Newfoundland and Labrador, Canada. Subsequently, HPAI EA H5 and EA H5N1 viruses have been confirmed in wild birds, backyard flocks, and commercial poultry facilities in both Canada and the United States. This HPAI distribution map will be updated weekly or as frequently as documented changes in distribution are available.

Environmental DNA (eDNA) has gone from new science on the block to a star of the show. With just a water, soil, or snow sample, ecologist Tommy Franklin and fellow scientists at the Rocky Mountain Research Station are detecting rare aquatic and terrestrial species by identifying the genetic material they leave behind.

Scientists at the Rocky Mountain Research station recently used eDNA to preserve headwater bull trout populations in a warming climate, track white nose syndrome — a killer bat fungus, and reveal the role of human transport in the spread of invasive northern pike in the Columbia River basin. A recent article highlights eDNA research at the station and features National Genomics Center Director Mike Schwartz.

See related resource: Data Visualization Tools to explore plant and animal health management data and interactive story maps

See also: Quagga and Zebra Mussels for more information

Assays of environmental DNA — traces of genetic material found in air, soil, and water — may improve scientists’ ability to detect bat roosts and track the spread of white-nose syndrome, a disease caused by a killer fungus spread easily in the close quarters of hibernacula. In this research, scientists experienced success in detecting bats in field collected samples of environmental DNA, though the technology is still in the experimental stage.

United States Geological Survey Science is Refining eDNA Techniques and Developing New Applications. Research by the U.S. Geological Survey is leading to new techniques in the use of environmental DNA, or eDNA, to detect invasive species and their spread.

CDC's estimated range maps for Ae. aegypti and Ae. albopictus mosquitoes were developed by using a model that predicts possible geographic ranges for these mosquitoes in the contiguous United States. The model used county-level records, historical records, and suitable climate variables to predict the likelihood (very low, low, moderate, or high) that these mosquitoes could survive and reproduce if introduced to an area during the months when mosquitoes are locally active.