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.
Mission Area Publications
Mission Area Publications
We are focused on some of the most significant issues society faces, and our science is making a substantial contribution to the well-being of the Nation and the world. Learn more about the major topics our research covers and the programs focused on those topics.
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Geologic characterization and depositional history of the Uteland Butte member, Green River Formation, southwestern Uinta Basin, Utah Geologic characterization and depositional history of the Uteland Butte member, Green River Formation, southwestern Uinta Basin, Utah
The 15- to 65-m-thick informal Uteland Butte member of the Eocene Green River Formation represents the first widespread transgression of Lake Uinta in the Uinta Basin, Utah. This study assesses the spatial and temporal variation of Uteland Butte member deposits along a 40-km transect in the southwestern margin of the Uinta Basin using detailed measured sections, organic and inorganic...
Authors
Ryan D. Gall, Justin E. Birdwell, Riley Brinkerhoff, Michael D. Vanden Berg
Puerto Rico’s state of the climate 2014-2021 Puerto Rico’s state of the climate 2014-2021
The climate of Puerto Rico is influenced by the changing global climate. The following chapters present the current knowledge of the geophysical and chemical drivers and signals of global climate change as they affect the climate of Puerto Rico and influence the climate-dependent services, risks, and vulnerabilities that govern human well-being. These include sustainable economic...
Authors
William A. Gould, Ernesto Dias, Adam Terando, Mark Jury, Jared Bowden, Patricia Chardon, Melissa Melendez Oyola, Julio Morell
Geochemical studies of the Green River Formation in the Piceance Basin, Colorado: I. Major, minor, and trace elements Geochemical studies of the Green River Formation in the Piceance Basin, Colorado: I. Major, minor, and trace elements
The Eocene Green River Formation contains the largest oil shale deposits in the world and is a welldocumented example of a lacustrine depositional system. In addition, mineral resources associated with oil shale in the Piceance Basin nahcolite [NaHCO3] and dawsonite [NaAl(CO3)(OH)2)] are of current and potential economic value, respectively. Detailed geochemical analysis across the basin...
Authors
Jeremy Boak, Tengfei Wu, Justin E. Birdwell
Changes in aquatic vegetation cover following lock closure on the Illinois Waterway from 2019 – 2021 Changes in aquatic vegetation cover following lock closure on the Illinois Waterway from 2019 – 2021
Over the summer of 2020, the Illinois Waterway was closed to complete maintenance on lock chambers along the Illinois River. This closure restricted inter-pool vessel traffic along the river and potentially changed habitat characteristics for aquatic vegetation establishment and growth. To assess if patterns of vegetation establishment and growth changed during the closure, peak biomass...
Authors
Andrew C. Strassman
Potential cheatgrass abundance within lightly invaded areas of the Great Basin Potential cheatgrass abundance within lightly invaded areas of the Great Basin
Context Anticipating where an invasive species could become abundant can help guide prevention and control efforts aimed at reducing invasion impacts. Information on potential abundance can be combined with information on the current status of an invasion to guide management towards currently uninvaded locations where the threat of invasion is high. Objectives We aimed to support...
Authors
Helen Sofaer, Catherine S. Jarnevich, Erin K. Buchholtz, Brian S. Cade, John T. Abatzoglou, Cameron L. Aldridge, Patrick Comer, Daniel Manier, Lauren E. Parker, Julie A. Heinrichs
Explainable machine learning improves interpretability in the predictive modeling of biological stream conditions in the Chesapeake Bay Watershed, USA Explainable machine learning improves interpretability in the predictive modeling of biological stream conditions in the Chesapeake Bay Watershed, USA
Anthropogenic alterations have resulted in widespread degradation of stream conditions. To aid in stream restoration and management, baseline estimates of conditions and improved explanation of factors driving their degradation are needed. We used random forests to model biological conditions using a benthic macroinvertebrate index of biotic integrity for small, non-tidal streams...
Authors
Kelly O. Maloney, Claire Buchanan, Rikke Jepsen, Kevin P. Krause, Matthew J. Cashman, Benjamin P. Gressler, John A. Young, Matthias Schmid
Evaluating the effect of nuclear inclusion X (NIX) infections on Pacific razor clam populations Evaluating the effect of nuclear inclusion X (NIX) infections on Pacific razor clam populations
ABSTRACT: Nuclear inclusion X (NIX), the etiological agent of bacterial gill disease in Pacific razor clams Siliqua patula, was associated with host mortality events in coastal Washington State, USA, during the mid-1980s. Ongoing observations of truncated razor clam size distributions in Kalaloch Beach, Washington, raised concerns that NIX continues to impact populations. We conducted a...
Authors
Maya L. Groner, Paul Hershberger, Steven C. Fradkin, Carla M. Conway, Aine C. Hawthorn, Maureen K. Purcell
Exploring metapopulation-scale suppression alternatives for a global invader in a river network experiencing climate change Exploring metapopulation-scale suppression alternatives for a global invader in a river network experiencing climate change
Invasive species can dramatically alter ecosystems, but eradication is difficult, and suppression is expensive once they are established. Uncertainties in the potential for expansion and impacts by an invader can lead to delayed and inadequate suppression, allowing for establishment. Metapopulation viability models can aid in planning strategies to improve responses to invaders and...
Authors
Brian D. Healy, Phaedra E. Budy, Charles B. Yackulic, Brendan P. Murphy, Robert C. Schelly, Mark C. McKinstry
Lake Sturgeon movement after trap and transfer around two dams on the Menominee River, Wisconsin-Michigan Lake Sturgeon movement after trap and transfer around two dams on the Menominee River, Wisconsin-Michigan
Fish behavior after passage or transfer around dams is a critical component in determining whether the goals of these efforts are achieved, but these behaviors are often poorly understood. An elevator was constructed in the lowermost hydroelectric dam on the Menominee River, Wisconsin–Michigan; it is the first elevator specifically designed to capture Lake Sturgeon Acipenser fulvescens...
Authors
Daniel A. Isermann, Joshua K. Raabe, Emma G. Easterly, Joshua C. Schulze, Nicholas J. Porter, Daniel J. Dembkowski, Michael C. Donofrio, Darren R. Kramer, Robert F. Elliott
Stream macroinvertebrate reintroductions: A cautionary approach for restored urban streams Stream macroinvertebrate reintroductions: A cautionary approach for restored urban streams
Macroinvertebrate assemblages often remain depauperate in physically restored urban streams despite efforts to improve habitat conditions and increase species abundance and diversity. The lack of biological recovery may be due to a lack of a natural, nearby source of colonists, and this has inspired researchers and practitioners to reintroduce macroinvertebrates in otherwise restored...
Authors
Sandra M. Clinton, Jacqueline Hartman, Kate H. Macneale, Allison H. Roy
Causality guided machine learning model on wetland CH4 emissions across global wetlands Causality guided machine learning model on wetland CH4 emissions across global wetlands
Wetland CH4 emissions are among the most uncertain components of the global CH4 budget. The complex nature of wetland CH4 processes makes it challenging to identify causal relationships for improving our understanding and predictability of CH4 emissions. In this study, we used the flux measurements of CH4 from eddy covariance towers (30 sites from 4 wetlands types: bog, fen, marsh, and...
Authors
Kunxiaojia Yuan, Qing Zhu, Fa Li, William J. Riley, Margaret Torn, Housen Chu, Gavin McNicol, Mingshu Chen, Sara Knox, Kyle B. Delwiche, Huayi Wu, Dennis Baldocchi, Hongxu Ma, Ankur R. Desai, Jiquan Chen, Torsten Sachs, Masahito Ueyama, Oliver Sonnentag, Manuel Helbig, Eeva-Stiina Tuittila, Gerald Jurasinski, Franziska Koebsch, David I. Campbell, Hans Peter Schmid, Annalea Lohila, Mathias Goeckede, Mats B. Nilsson, Thomas Friborg, Joachim Jansen, Donatella Zona, Eugenie S. Euskirchen, Eric Ward, Gil Bohrer, Zhenong Jin, Licheng Liu, Hiroki Iwata, Jordan P. Goodrich, Robert B. Jackson
Evaluation of machine learning approaches for predicting streamflow metrics across the conterminous United States Evaluation of machine learning approaches for predicting streamflow metrics across the conterminous United States
Few regional or national scale studies have evaluated machine learning approaches for predicting streamflow metrics at ungaged locations. Most such studies are limited by the number of dimensions of the streamflow regime investigated. This study, in contrast, provides a comprehensive evaluation of the streamflow regime based on three widely available machine learning approaches (support...
Authors
Ken Eng, David M. Wolock