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Publications

Browse more than 160,000 publications authored by our scientists over the past 100+ year history of the USGS.  Publications available are: USGS-authored journal articles, series reports, book chapters, other government publications, and more.

Filter Total Items: 175531

Predicting niche spaces of expanding Evening Bat (Nycticeius humeralis) populations following white-nose syndrome establishment Predicting niche spaces of expanding Evening Bat (Nycticeius humeralis) populations following white-nose syndrome establishment

Observations of the Evening Bat (Nycticeius humeralis), a species historically distributed abundantly throughout the southeastern United States, are speculated to have increased in the Midwest. One hypothesis for this expansion in geographic distribution is that local extirpations of other bat species resulted in the expanded realized niche spaces for evening bats. In Indiana, such niche...
Authors
Sally B. Martinez, Laura D’Acunto, Bradford J. Westrich, Scott M. Bergeson, Patrick A. Zollner

Geochemistry and Soils of the Big Smoky Valley Fens, Nevada Geochemistry and Soils of the Big Smoky Valley Fens, Nevada

Fens are groundwater-fed wetlands that can provide habitat for plants and animals. Due to anthropogenic activities and climate change, many fens around the world are at risk. This paper presents the results of a study of the hydrology and geochemistry of fens in Big Smoky Valley, central Nevada to support the Bureau of Land Management’s activities in the area. A water sample from the...
Authors
Sade K. Cromratie Clemons, Geoffrey John Moret, Katherine J. Earp

Rusting rivers: Assessing the causes and consequences in Alaska and across the Arctic Rusting rivers: Assessing the causes and consequences in Alaska and across the Arctic

No abstract available.
Authors
Jonathan A. O'Donnell, Michael P. Carey, Joshua C. Koch, Carson Baughman, Kenneth Hill, Taylor Evinger, Abagael Pruitt, Claire Thompson, Emily B. Graham, Brett A Poulin

Leveraging an observed-data likelihood improves the use of machine learning labels in a Bayesian hierarchical model for bioacoustic data Leveraging an observed-data likelihood improves the use of machine learning labels in a Bayesian hierarchical model for bioacoustic data

Classification of massive datasets by machine learning (ML) algorithms is promising for many scientific domains, especially wildlife monitoring programs that rely on passive acoustic surveys for detecting species. However, treating ML-predicted class labels (e.g., species identity) as truth biases inferences of focal parameters within common modeling frameworks. One solution is to model...
Authors
Jacob Oram, Katharine M. Banner, Christian Stratton, Andrew Hoegh, Kathryn Irvine

Environmental DNA metabarcoding for monitoring fish biodiversity in remote lakes Environmental DNA metabarcoding for monitoring fish biodiversity in remote lakes

Objective Environmental DNA (eDNA) metabarcoding provides an attractive option for monitoring biodiversity in remote freshwater ecosystems, where the deployment of conventional gears encounters major logistical constraints. We evaluated eDNA metabarcoding for monitoring fish communities and early detection of nonnative species in three remote lakes on Isle Royale, Michigan, USA. Methods...
Authors
Nicholas J. Iacaruso, Jared Thomas Myers, Michael J. Seider, Mark A. Davis
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