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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: 171223

Evaluation of management efforts to reduce nutrient and sediment contributions to the Chesapeake Bay estuary

No abstract available.
Authors
Z. Easton, K. Stephenson, B. Benham, John K. Böhlke, A. Buda, A. Collick, L. Fowler, E. Gilinsky, C. Hershner, Andrew Miller, Gregory Noe, L. Palm-Forster, T. Thompson

Achieving water quality goals in the Chesapeake Bay: A comprehensive evaluation of system response

A Comprehensive Evaluation of System ResponseAchieving Water Quality Goals in the Chesapeake Bay: A Comprehensive Evaluation of System Response (CESR) includes an evaluation of why progress toward meeting the TMDL and water quality standards has been slower than expected and offers options for how progress can be accelerated. This report is a summation of a three year investigation into the 40 yea

Colorado River Basin

The Colorado River is often referred to as “the lifeblood of the west.” The basin supplies municipal water to nearly 40 million people and irrigates approximately 22,000 km2 of agricultural lands. Twenty-two major rivers converge with the Colorado after it begins its descent from the Rocky Mountains and winds through the plateaus of Colorado, Utah, and Arizona, onto the deserts of southwestern Ari
Authors
Anya Metcalfe, Jeffrey Muehlbauer, Morgan Ford, Theodore Kennedy

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 determined pa
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

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-quality a
Authors
Fleford Santos Redoloza, Tanja N. Williamson, Alex 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

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 created to eva
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

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 how often
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

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 case study
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

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 limits hav
Authors
Michael Osland, Bogdan Chivoiu, Laura Feher, Leah Dale, Deah Lieurance, Wesley Daniel, Jessica E. Spencer

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 explore t
Authors
Aaron E. Maxwell, William Elijah 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

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 Team (Cal/
Authors
Shannon Franks, Rajagopalan Rengarajan

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 and possibl
Authors
Markéta Poděbradská, Bruce K. Wylie, Michael J. Hayes, Deborah J. Bathke, Yared A. Bayissa, Stephen P. Boyte, Jesslyn F. Brown, Brian D. Wardlow