Articles
Science Quality and Integrity
The USGS provides unbiased, objective, and impartial scientific information upon which our audiences, including resource managers, planners, and other entities, rely.
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.
Filter Total Items: 78946
Facing our freshwater crisis via fluid and agile communication: A grand challenge Facing our freshwater crisis via fluid and agile communication: A grand challenge
Earth has been labeled the blue planet because of its abundance of water that covers most of its surface, but the majority is salt water in our oceans. Oceans account for ~352 million km2 or 69% of the planet's surface, land for 150 million km2 or 29%, and fresh water for 9 million km2 or 2% (Shiklomanov, 2000). Most of the fresh water is locked away in glaciers and ice sheets on...
Authors
Leandro E. Miranda
Exposures and potential health implications of contaminant mixtures in linked source water, finished drinking water, and tapwater from public-supply drinking water systems in Minneapolis/St. Paul area, USA Exposures and potential health implications of contaminant mixtures in linked source water, finished drinking water, and tapwater from public-supply drinking water systems in Minneapolis/St. Paul area, USA
Continued improvements in drinking-water quality characterization and treatment/distribution infrastructure are required to address the expanding number of documented environmental contaminants. To better understand the variability in contaminant exposures from the drinking water resource (surface and groundwater), through the distribution process, to the point-of-use (tapwater), in 2019...
Authors
Kelly L. Smalling, Paul M. Bradley, Kristin M. Romanok, Sarah M. Elliott, Jane de Lambert, Michael J. Focazio, Stephanie E. Gordon, James L. Gray, Leslie K. Kanagy, Michelle L. Hladik, Keith A. Loftin, R. Blaine McCleskey, Elizabeth Medlock-Kakaley, Mary C. Cardon, Nicola Evans, Christopher P. Weis
Obtaining and applying public data for training students in technical statistical writing: Case studies with data from U.S. Geological Survey and general ecological literature Obtaining and applying public data for training students in technical statistical writing: Case studies with data from U.S. Geological Survey and general ecological literature
Effective undergraduate statistical education requires training using real-world data. Textbook datasets seldom match the complexities and messiness of real-world data and finding these datasets can be challenging for educators. Consulting and industrial datasets often have nondisclosure agreements. Academic datasets often require subject area expertise beyond those of a general...
Authors
Barb Bennie, Richard A. Erickson
Prevalence of Ophidiomyces ophidiicola and epizootiology of snake fungal disease in free-ranging Northern Pine Snakes (Pituophis melanoleucus melanoleucus) in New Jersey Prevalence of Ophidiomyces ophidiicola and epizootiology of snake fungal disease in free-ranging Northern Pine Snakes (Pituophis melanoleucus melanoleucus) in New Jersey
Snake fungal disease, caused by Ophidiomyces ophidiicola, is recognized as a potential concern for North American snakes. We tested skin swabs from Northern Pine Snakes (Pituophis melanoleucus melanoleucus) in the New Jersey pinelands for the presence of O. ophidiicola before emergence from hibernation. We used qPCR to test the collected swabs for the presence of O. ophidiicola, then...
Authors
Joanna Burger, Michael Gochfeld, Robert T. Zappalorti, John F. Bunnell, Christian Jeitner, David Schneider, Kelly Ng, Emile DeVito, Jeffrey M. Lorch
Machine-learning model to delineate sub-surface agricultural drainage from satellite imagery Machine-learning model to delineate sub-surface agricultural drainage from satellite imagery
Knowing subsurface drainage (tile-drain) extent is integral to understanding how landscapes respond to precipitation events and subsequent days of drying, as well as how soil characteristics and land management influence stream response. Consequently, a time series of tile-drain extent would inform one aspect of land management that complicates our ability to explain streamflow and water...
Authors
Fleford Santos Redoloza, Tanja N. Williamson, Alexander O. Headman, Barry J. Allred
The use of historical data and global climate models to assess historical and future surface water and groundwater availability in the Trinity River Basin in Texas The use of historical data and global climate models to assess historical and future surface water and groundwater availability in the Trinity River Basin in Texas
This paper describes the results of a study that was done by the USGS to assess recent (2017) water availability, forecast long-term trends in water availability, assess changes in water availability, and forecast future water availability in the Trinity River Basin in Texas. The Trinity River Basin surface water model and Trinity River alluvium aquifer (TRAA) groundwater model were...
Authors
Molly J. Milmo, Jeremy McDowell, Monica Veale Yesildirek, Glenn R. Harwell
Spatiotemporal segregation by migratory phenotype indicates potential for assortative mating in lake sturgeon Spatiotemporal segregation by migratory phenotype indicates potential for assortative mating in lake sturgeon
Migratory diversity can promote population differentiation if sympatric phenotypes become temporally, spatially, or behaviorally segregated during breeding. In this study, the potential for spatiotemporal segregation was tested among three migratory phenotypes of lake sturgeon (Acipenser fulvescens) that spawn in the St. Clair River of North America’s Laurentian Great Lakes but differ in...
Authors
Tyler J. Buchinger, Darryl W. Hondorp, Charles C. Krueger
Assembling the right pieces: Developing an interdisciplinary team to study disease, decline, and recovery of a world-class Smallmouth Bass fishery Assembling the right pieces: Developing an interdisciplinary team to study disease, decline, and recovery of a world-class Smallmouth Bass fishery
Managing and understanding fisheries dynamics are becoming more complex as new and seemingly more complicated environmental factors are identified. Often management requires resources beyond that of any one entity and calls for collaboration among partners with differing priorities and backgrounds to account for the complexity of factors influencing fisheries. We present a collaborative...
Authors
Megan K. Schall, Geoffrey Smith, Vicki S. Blazer, Heather L. Walsh, Timothy Wertz, Dustin R. Shull, Tyler Wagner
Plant migration due to winter climate change: Range expansion of tropical invasive plants in response to warming winters Plant migration due to winter climate change: Range expansion of tropical invasive plants in response to warming winters
Warming winters due to climate change can facilitate the range expansion of invasive non-native species. In the southeastern United States, the frequency and intensity of extreme winter temperatures determines the northern range limits of many tropical organisms including many species of invasive non-native plants. However, the effects of winter climate change on invasive species’ range...
Authors
Michael Osland, Bogdan Chivoiu, Laura Feher, Leah Dale, Deah Lieurance, Wesley M. Daniel, Jessica E. Spencer
Exploring the influence of input feature space on CNN-based geomorphic feature extraction from digital terrain data Exploring the influence of input feature space on CNN-based geomorphic feature extraction from digital terrain data
Many studies of Earth surface processes and landscape evolution rely on having accurate and extensive data sets of surficial geologic units and landforms. Automated extraction of geomorphic features using deep learning provides an objective way to consistently map landforms over large spatial extents. However, there is no consensus on the optimal input feature space for such analyses. We...
Authors
Aaron E. Maxwell, William E. Odom, Charles M. Shobe, Daniel H. Doctor, Michelle S. Bester, Tobi Ore
Evaluation of Copernicus DEM and comparison to the DEM used for Landsat collection-2 processing Evaluation of Copernicus DEM and comparison to the DEM used for Landsat collection-2 processing
Having highly accurate and reliable Digital Elevation Models (DEMs) of the Earth’s surface is critical to orthorectify Landsat imagery. Without such accuracy, pixel locations reported in the data are difficult to assure as accurate, especially in more mountainous landscapes, where the orthorectification process is the most challenging. To this end, the Landsat Calibration and Validation...
Authors
Shannon Franks, Rajagopalan Rengarajan
Using seasonal climate scenarios in the ForageAhead annual forage production model for early drought impact assessment Using seasonal climate scenarios in the ForageAhead annual forage production model for early drought impact assessment
High interannual variability of forage production in semiarid grasslands leads to uncertainties when livestock producers make decisions, such as buying additional feed, relocating animals, or using flexible stocking. Within-season predictions of annual forage production (i.e., yearly production) can provide specific boundaries for producers to make these decisions with more information...
Authors
Marketa Podebradska, Bruce K. Wylie, Michael J. Hayes, Deborah J. Bathke, Yared A. Bayissa, Stephen P. Boyte, Jesslyn F. Brown, Brian D. Wardlow