Patuxent Wildlife Research Center

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Patuxent Wildlife Research Center (PWRC) produces innovative science to support natural resource management and meet our nation’s most pressing conservation challenges.
PWRC research topics include bird population dynamics, ecotoxicology, and the development of quantitative & decision analysis tools. We conduct several national programs, including the Bird Banding Lab and the Breeding Bird Survey.

Research Spotlight

Research Spotlight

USGS Patuxent scientists are providing managers with tools for improving detection and for proactively mitigating the impacts of amphibian diseases.

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Publication Spotlight

Publication Spotlight

A decision-support framework was developed in collaboration with USFWS to identify approaches to maximize salt marsh management benefits at Bombay Hook National Wildlife Refuge.

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News

Date published: December 18, 2020

Notes From the Field: Wood Duck Recruitment

"Notes From the Field” are contributed articles that highlight current banding projects and the continued importance of bird banding 100 years after the establishment of the Bird Banding Lab. This article focuses on a collaborative project to examine how nest boxes affect population dynamics of...

Date published: December 4, 2020

Notes From the Field: Coastal Raptors

"Notes from the Field” are contributed articles that highlight current banding projects and the continued importance of bird banding 100 years after the establishment of the Bird Banding Lab. This article focuses on a long-term raptor monitoring project in Washington state.

Date published: November 20, 2020

Notes From the Field: Panola Mountain Bird Banding Station

"Notes From the Field” are contributed articles that highlight current banding projects and the continued importance of bird banding 100 years after the establishment of the Bird Banding Lab. Our second article in this new series focuses on a long-term banding station near Atlanta, Georgia.

Publications

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Year Published: 2021

Modeling areal measures of campsite impacts on the Appalachian National Scenic Trail to enhance ecological sustainability

Campsite impacts in protected natural areas are most effectively minimized by a containment strategy that focuses use on a limited number of sustainable campsites that spatially concentrate camping activities. This research employs spatial autoregressive (SAR) modeling to evaluate the relative influence of use-related, environmental, and...

Arredondo, Johanna R.; Marion, Jeffrey L.; Meadema, Fletcher P.; Wimpey, Jeremy F.

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Year Published: 2021

Seasonality of acarological risk of exposure to Borrelia miyamotoi from questing life stages of Ixodes scapularis collected from Wisconsin and Massachusetts, USA

Measures of acarological risk of exposure to Ixodes scapularis-borne disease agents typically focus on nymphs; however, the relapsing fever group spirochete, Borrelia miyamotoi can be transmitted transovarially, and I. scapularis larvae are capable of transmitting B. miyamotoi to their hosts. To quantify the...

Han, Seungeun; Hickling, Graham J.; Ogden, Nicholas H.; Ginsberg, Howard S.; Kobbekaduwa, Vishvapali; Rulison, Eric L.; Beati, Lorenza; Tsao, Jean I.

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Year Published: 2020

Optimization of salt marsh management at the Stewart B. McKinney National Wildlife Refuge, Connecticut, through use of structured decision making

Structured decision making is a systematic, transparent process for improving the quality of complex decisions by identifying measurable management objectives and feasible management actions; predicting the potential consequences of management actions relative to the stated objectives; and selecting a course of action that maximizes the total...

Low, Laurel E.; Neckles, Hilary A.; Lyons, James E.; Nagel, Jessica L.; Adamowicz, Susan C.; Mikula, Toni; Vagos, Kristina; Potvin, Richard
Low, L.E. , Neckles, H.A., Lyons, J.E., Nagel, J.L., Adamowicz, S.C., Mikula, T., Vagos, K., and Potvin, R., 2020, Optimization of salt marsh management at the Stewart B. McKinney National Wildlife Refuge, Connecticut, through use of structured decision making: U.S. Geological Survey Open-File Report 2020–1139, 28 p., https://doi.org/10.3133/ofr20201139.