Web Tools

In 2016, researchers in Wyoming discovered the world's longest migration of mule deer. A doe fitted with a GPS tracking collar migrated 242 miles one way. She is known as Deer 255. Each summer, she lives in the heart of the Greater Yellowstone Ecosystem, but travels far into Wyoming's sagebrush sea and high desert ecosystem for winter.

Pollinators are responsible for one in three bites of food humans consume and provide billions of dollars in free pollination services. Leveraging the Pacific Northwest (PNW) Bumble Bee Atlas, a project recruiting online volunteers, contains thousands of verified bumble bee observations, this project aims to address information gaps around several bee species in Oregon, Washington, and Idaho.

 The “Fishes of Montana” app is a 21st century update to the 1971 book “Fishes of Montana” by C.J.D. Brown. The app includes information on 90 native and invasive species and is available for Android and iOS devices.

Migration Mapper™ is a free application designed for researchers, biologists, and managers, to analyze fine-scale GPS collar data collected from migratory ungulates. Understanding and mapping where animals go is of utmost importance to wildlife conservation and management. Maps of animal movement are particularly important for efforts focused on migratory wildlife.

The Adaptive Management Toolkit is a series of R packages used for population analysis, data processing, population modeling, and survey/web tools. The packages were developed to promote certain aspects of adaptive management of natural resources. Available through the USGS github site, these packages are under the Creative Commons license. Contact tdonovan@uvm.edu

The USGS Ecosystems Mission Area provides science to understand wildlife diseases, including avian influenza (AI). Avian influenza viruses occur naturally in wild birds such as ducks, geese, swans, and gulls. These viruses generally do not cause illness in wild birds but they can be highly pathogenic and cause illness and death in poultry and wildlife. Learn more with this geonarrative.

Freshwater ecosystems are some of the most degraded from human activity and contain a large number of imperiled species. Researchers developed a Shiny app. web tool for steelhead salmon, coho salmon, and chum salmon in Washington state. https://shiny.wdfw-fish.us/ChehalisRiverBasinSalmonidRangeOfOccurence/&am

Our Program is a unique cooperative partnership among State fish and wildlife agencies, universities, the Wildlife Management Institute, the U.S. Geological Survey (USGS), and the U.S. Fish and Wildlife Service. This story highlights the activities and accomplishments of the program and its cooperators for calendar year 2020.

In September 1960, the 86th Congress passed Public Law 86-686 to facilitate cooperation between the Federal government, colleges and universities, the States, and private organizations for Cooperative Unit Programs of research and education relating to fish and wildlife, and for other purposes. The Cooperative Research Units originated in the U.S. Department of Agriculture in the mid 1930s

In this Year in Review report, you will find details on staffing, vacancies, research funding, and other pertinent information. You will also see snapshots of Unit projects with information on how results have been or are being applied by cooperators. That is the essence of what we do: science that matter.

The Pheasant Habitat Simulator is based on a regression model relating the relative habitat suitability of ring-necked pheasants across Nebraska to landcover types. The Simulator was created by the Fontaine Lab at the Nebraska CRU, School of Natural Resources, University of Nebraska, with the Nebraska Game and Parks Commission and the Rainwater Basin Joint Venture.

The Cooperative Research Unit mission is our hallmark: meeting the actionable science needs of our cooperators, providing them technical guidance and assistance in interpreting and applying new advances in science, and developing the future workforce through graduate education and mentoring.