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The USGS provides unbiased, objective, and impartial scientific information upon which our audiences, including resource managers, planners, and other entities, rely.
Browse more than 65,000 articles authored by our scientists over the past 100+ year history of the USGS and refine search by topic, location, year, and advanced search.
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Ecological disturbance through patch-burn grazing influences lesser prairie-chicken space use Ecological disturbance through patch-burn grazing influences lesser prairie-chicken space use
Across portions of the western Great Plains in North America, natural fire has been removed from grassland ecosystems, decreasing vegetation heterogeneity and allowing woody encroachment. The loss of fire has implications for grassland species requiring diverse vegetation patches and structure or patches that have limited occurrence in the absence of fire. The lesser prairie-chicken...
Authors
Jonathan D. Lautenbach, David A. Haukos, Joseph M. Lautenbach, Christian A. Hagen
Extreme precipitation and flooding contribute to sudden vegetation dieback in a coastal salt marsh Extreme precipitation and flooding contribute to sudden vegetation dieback in a coastal salt marsh
Climate extremes are becoming more frequent with global climate change and have the potential to cause major ecological regime shifts. Along the northern Gulf of Mexico, a coastal wetland in Texas suffered sudden vegetation dieback following an extreme precipitation and flooding event associated with Hurricane Harvey in 2017. Historical salt marsh dieback events have been linked to...
Authors
Camille Stagg, Michael Osland, Jena A. Moon, Laura Feher, Claudia Laurenzano, Tiffany C. Lane, William Jones, Stephen Hartley
Towards building a sustainable future: Positioning ecological modelling for impact in ecosystems management Towards building a sustainable future: Positioning ecological modelling for impact in ecosystems management
As many ecosystems worldwide are in peril, efforts to manage them sustainably require scientific advice. While numerous researchers around the world use a great variety of models to understand ecological dynamics and their responses to disturbances, only a small fraction of these models are ever used to inform ecosystem management. There seems to be a perception that ecological models...
Authors
Don DeAngelis, Daniel Franco, Alan Hastings, Frank M. Hilker, Suzanne Lenhart, Frithjof Lutscher, Natalia Petrovskaya, Sergei Petrovskii, Rebecca C. Tyson
Demographic modeling informs functional connectivity and management interventions in Graham’s beardtongue Demographic modeling informs functional connectivity and management interventions in Graham’s beardtongue
Functional connectivity (i.e., the movement of individuals across a landscape) is essential for the maintenance of genetic variation and persistence of rare species. However, illuminating the processes influencing functional connectivity and ultimately translating this knowledge into management practice remains a fundamental challenge. Here, we combine various population structure...
Authors
Matthew Richard Jones, Daniel E. Winkler, Robert Massatti
Machine learning predictions of mean ages of shallow well samples in the Great Lakes Basin, USA Machine learning predictions of mean ages of shallow well samples in the Great Lakes Basin, USA
The travel time or “age” of groundwater affects catchment responses to hydrologic changes, geochemical reactions, and time lags between management actions and responses at down-gradient streams and wells. Use of atmospheric tracers has facilitated the characterization of groundwater ages, but most wells lack such measurements. This study applied machine learning to predict ages in wells...
Authors
Christopher Green, Katherine Marie Ransom, Bernard T. Nolan, Lixia Liao, Thomas Harter
Evaluating stereo digital terrain model quality at Mars Rover Landing Sites with HRSC, CTX, and HiRISE Images Evaluating stereo digital terrain model quality at Mars Rover Landing Sites with HRSC, CTX, and HiRISE Images
We have used high-resolution digital terrain models (DTMs) of two rover landing sites based on mosaicked images from the High-Resolution Imaging Science Experiment (HiRISE) camera as a reference to evaluate DTMs based on High-Resolution Stereo Camera (HRSC) and Context Camera (CTX) images. The Next-Generation Automatic Terrain Extraction (NGATE) matcher in the SOCET SET and GXP®...
Authors
Randolph L. Kirk, David Mayer, Robin L. Fergason, Bonnie L. Redding, Donna M. Galuszka, Trent M. Hare, Klaus Gwinner
Landscape features fail to explain spatial genetic structure in white-tailed deer across Ohio, USA Landscape features fail to explain spatial genetic structure in white-tailed deer across Ohio, USA
Landscape features influence wildlife movements across spatial scales and have the potential to influence the spread of disease. Chronic wasting disease (CWD) is a fatal prion disease affecting members of the family Cervidae, particularly white-tailed deer (Odocoileus virginianus), and the first positive CWD case in a wild deer in Ohio, USA, was recorded in 2020. Landscape genetics...
Authors
Javan M. Bauder, Christine S. Anderson, H. Lisle Gibbs, Michael J. Tonkovich, W. David Walter
Growth of greater white-fronted goose goslings relates to population dynamics at multiple scales Growth of greater white-fronted goose goslings relates to population dynamics at multiple scales
The abundance of greater white-fronted geese (Anser albifrons frontalis) on the Arctic Coastal Plain (ACP) of northern Alaska, USA, has more than tripled since the late 1990s; however, recent rate of annual population growth has declined as population size increased, which may indicate white-fronted geese on the ACP are approaching carrying capacity. We examined rates of gosling growth...
Authors
Thomas F Fondell, Brandt W. Meixell, Paul L. Flint
Gut microbiota associated with different sea lamprey (Petromyzon marinus) life stages Gut microbiota associated with different sea lamprey (Petromyzon marinus) life stages
Sea lamprey (SL; Petromyzon marinus), one of the oldest living vertebrates, have a complex metamorphic life cycle. Following hatching, SL transition into a microphagous, sediment burrowing larval stage, and after 2–10+ years, the larvae undergo a dramatic metamorphosis, transforming into parasitic juveniles that feed on blood and bodily fluids of fishes; adult lamprey cease feeding...
Authors
P Mathai, Muruleedhara Byappanahalli, Nicholas S. Johnson, Michael J. Sadowsky
First documentation of long-distance travel by a Florida manatee to the Mexican Caribbean First documentation of long-distance travel by a Florida manatee to the Mexican Caribbean
West Indian manatees (Trichechus manatus) are separated into two allopatric subspecies: the Florida manatee (T. m. latirostris) and the Antillean manatee (T. m. manatus). In the winter of 2020–2021, an adult manatee was sighted off the coast of Cancun, Quintana Roo, Mexico, in areas where Antillean manatees are not typically seen. The individual had distinct watercraft scars on its body...
Authors
Nataly Castelblanco-Martinez, Anmari Álvarez-Alemán, Raul Torres, Amy L. Teague, Sheri Barton, Kari A Rood, Eric A Ramos, Antonio A. Mignucci-Giannoni
Watershed sediment yield following the 2018 Carr Fire, Whiskeytown National Recreation Area, northern California Watershed sediment yield following the 2018 Carr Fire, Whiskeytown National Recreation Area, northern California
Wildfire risk has increased in recent decades over many regions, due to warming climate and other factors. Increased sediment export from recently burned landscapes can jeopardize downstream infrastructure and water resources, but physical landscape response to fire has not been quantified for some at-risk areas, including much of northern California, USA. We measured sediment yield from...
Authors
Amy E. East, Joshua B. Logan, Peter Dartnell, Oren Lieber-Kotz, David B. Cavagnaro, Scott W. McCoy, Donald N. Lindsay
Labeling poststorm coastal imagery for machine learning: Measurement of interrater agreement Labeling poststorm coastal imagery for machine learning: Measurement of interrater agreement
Classifying images using supervised machine learning (ML) relies on labeled training data—classes or text descriptions, for example, associated with each image. Data-driven models are only as good as the data used for training, and this points to the importance of high-quality labeled data for developing a ML model that has predictive skill. Labeling data is typically a time-consuming...
Authors
Evan B. Goldstein, Daniel D. Buscombe, Eli D. Lazarus, Somya Mohanty, Shah N. Rafique, K A Anarde, Andrew D Ashton, Tomas Beuzen, Katherine A. Castagno, Nicholas Cohn, Matthew P. Conlin, Ashley Ellenson, Megan Gillen, Paige A. Hovenga, Jin-Si R. Over, Rose V. Palermo, Katherine Ratlif, Ian R Reeves, Lily H. Sanborn, Jessamin A. Straub, Luke A. Taylor, Elizabeth J. Wallace, Jonathan A. Warrick, Phillipe Alan Wernette, Hannah E Williams
By
Ecosystems Mission Area, Natural Hazards Mission Area, Coastal and Marine Hazards and Resources Program, Pacific Coastal and Marine Science Center, Southwest Biological Science Center, Woods Hole Coastal and Marine Science Center, Supplemental Appropriations for Disaster Recovery Activities, Hurricane Florence, Hurricane Isaias, Hurricane Michael, Hurricanes