The 3D Elevation Program—Supporting New Hampshire’s economy
Dan Walters
2024, Fact Sheet 2024-3056
Introduction The topography of New Hampshire ranges from the Coastal Lowlands to the Eastern New England Upland to the White Mountains region. High-quality statewide elevation data are useful in managing this very diverse landscape. For example, the short coastline, including the Great Bay estuary and the Hampton-Seabrook marshes, is of disproportionately...
Seismic velocity changes from repetitive seismicity at Mauna Loa prior to and during its 2022 eruption
Alicia J. Hotovec-Ellis
2024, Bulletin of Volcanology (87)
Mauna Loa’s short-lived eruption from late November to early December 2022 marked the culmination of nearly a decade of elevated seismic activity and geodetic inflation. The volcano has been monitored by a network of permanent, short period and broadband seismometers. I used the continuous waveform data from that network starting...
An intercomparison of DOC estimated from fDOM sensors in wildfire affected streams of the western United States
Garrett Alexander Akie, David W. Clow, Sheila F. Murphy, Gregory D. Clark, Michael R. Meador, Brian A. Ebel
2024, Hydrological Processes (38)
Wildfires in the western United States (US) have been demonstrated to affect water quality, including dissolved organic carbon (DOC), in streams. Elevated post-wildfire DOC concentration poses a potential risk to drinking water treatment systems. In-stream measurements of fluorescent dissolved organic matter (fDOM), a proxy for DOC, have shown potential to...
Gene flow prevents genetic diversity loss despite small effective population size in fragmented grizzly bear (Ursus arctos) populations
Megan F. Turnock, Justin E. Teisberg, Wayne F. Kasworm, Matthew Richard Falcy, Michael F. Proctor, Lisette P. Waits
2024, Conservation Genetics (26) 279-291
Genetic monitoring is important in small, fragmented populations that rely on gene flow to maintain genetic diversity. The Selkirk, Yaak, and Cabinet grizzly bear (Ursus arctos) populations are among the smallest in North America and are near the southernmost extent of the species’ range. These populations received little to no...
Geologic map and structure sections along the southern part of the Bartlett Springs Fault Zone and adjacent areas from Cache Creek to Lake Berryessa, northern Coast Ranges, California
Benjamin L. Melosh, Jackson W. Bodtker, Zenon C. Valin
2024, Scientific Investigations Map 3514
IntroductionLocated in the Coast Ranges of northern California, the Bartlett Springs Fault Zone is the easternmost fault in the San Andreas Fault system in northern California. The fault is a right-lateral, strike-slip structure considered capable of producing an earthquake of moment magnitude 7. The purpose of this mapping is to...
A comparative framework to develop transferable species distribution models for animal telemetry data
Joshua A. Cullen, Camila A. Domit, Margaret Lamont, Christopher D. Marshall, Armando J.B. Santos, Christopher R. Sasso, Mehsin Al Ansi, Kristen Hart, Mariana M.P.B. Fuentes
2024, Ecosphere (15)
Species distribution models (SDMs) have become increasingly popular for making ecological inferences, as well as predictions to inform conservation and management. In predictive modeling, practitioners often use correlative SDMs that only evaluate a single spatial scale and do not account for differences in life stages. These modeling decisions may limit...
Sequoia groves of Yosemite: Visitor use and impacts monitoring
Sheri A. Shiflett, Jeffery S. Jenkins, Rachel F. Mattos, Peter Christian Ibsen, Nicole D. Athearn
2024, Forests (15)
Despite being long-lived and massive, giant sequoias (Sequoiadendron giganteum (Lindl.) J. Bucholz) are susceptible to erosion given their relatively shallow root structure. Human-caused soil compaction and vegetation loss through social trails are primary drivers of erosion in giant sequoia groves, particularly for trees that are near formal trails and access...
New tools for a legacy problem: How isotope tracers inform area of concern actions in the St. Louis River in Lake Superior
Sarah E. Janssen, Joel C. Hoffman, David P. Krabbenhoft
2024, Journal of Great Lakes Research (JGLR) (51)
Numerous mercury (Hg) sources can contribute to biological burdens within the Great Lakes, including atmospheric deposition (e.g., precipitation), non-point source land runoff (e.g., watershed), and legacy contamination. Due to these different environmental entry points, it is often difficult to ascertain if legacy Hg contamination contributes to contemporary fish consumption advisories...
Iodine-129 in the eastern Snake River Plain aquifer at and near the Idaho National Laboratory, Idaho, 2021–22
Kerri C. Treinen, Allison R. Trcka, Nick Krohe, Genene Lehotsky
2024, Scientific Investigations Report 2024-5124
Between the 1950s and 1980s, wastewater generated at the Idaho National Laboratory contained Iodine-129 (129I); this wastewater was discharged directly into the eastern Snake River Plain (ESRP) aquifer through a deep disposal well, unlined infiltration ponds, or leaked from distribution systems below industrial facilities. During 2021–22, the U.S. Geological Survey,...
Using mercury and lead stable isotopes to assess mercury, lead, and trace metal source contributions to Great Salt Lake, Utah, USA
Samuel Francisco Lopez, Sarah E. Janssen, Michael T. Tate, Diego P. Fernandez, Christopher R. Anderson, Grace Jane Armstrong, Thomas Charng-Shuen Wang, William P. Johnson
2024, Science of the Total Environment (957)
Great Salt Lake is a critical habitat for migratory birds that is threatened by elevated metal concentrations, including mercury (Hg) and lead (Pb), and is subject to severe hydrologic changes, such as declining lake level. When assessing metal profiles recorded in Great Salt Lake sediment, a large data gap exists...
Geophysical characterization of an alkaline‑carbonatite complex using gravity and magnetic methods at Magnet Cove, Arkansas, USA
Chelsea Morgan Amaral, Andrew P. Lamb, Gregory Dumond
2024, Tectonophysics (893)
The Magnet Cove alkaline‑carbonatite complex (MCC), located in the Ouachita Mountains of south-central Arkansas in the United States, hosts an extensive variety of rare rock types and critical mineral resources with physical properties (density and magnetization) that contrast significantly with the sedimentary rocks into which they have intruded. Newly acquired...
The 3D Elevation Program—Supporting the Kansas Economy
Claire DeVaughan
2024, Fact Sheet 2024-3053
Introduction High-resolution elevation data for Kansas inform decision making to improve the State’s economy. Existing elevation data coverage is used to support State water planning initiatives, facilitate infrastructure management, and improve resilience to natural disasters. The expanding availability of current and more accurate elevation data helps better support natural resources conservation,...
Spatial differences in predicted Phalaris arundinacea (reed canarygrass) occurrence in floodplain forest understories
John Delaney, Molly Van Appledorn, Nathan R. De Jager, Kristen L. Bouska, Jason J. Rohweder
2024, Ecosphere (15)
Reed canarygrass (Phalaris arundinacea L.) is one of the most common invaders of floodplains and wetlands in North America. In the Upper Mississippi River floodplain, invasion by reed canarygrass in forest understories can inhibit forest regeneration when gaps form in the overstory. Understanding the distribution of reed canarygrass in forest understories...
Improving time of concentration estimates for small rural watersheds in the Appalachian Plateaus physiographic province, West Virginia
Terence Messinger, Darrin A. Holmes, James D. Scott, Douglas W. Kirk
2024, Scientific Investigations Report 2024-5051
The U.S. Geological Survey (USGS), in cooperation with the West Virginia Department of Transportation, Division of Highways, compared time of concentration (Tc) and related runoff characteristics measured at four field sites in West Virginia to estimates of these values made using accepted methods. These four sites were selected to represent...
Three-dimensional hydrogeologic framework model of the Russian River watershed, California
Geoffrey Cromwell, Donald S. Sweetkind, Victoria E. Langenheim, Christopher P. Ely
2024, Scientific Investigations Report 2024-5083
The Russian River watershed is in northern Sonoma County and southern Mendocino County, California, in the northern part of the California Coast Ranges. The Russian River serves as a supply for agricultural irrigation and for municipal, domestic, and commercial uses. Through a cooperative agreement with the California State Water Resources...
Mapping river flow from thermal images in approximately real time: Proof of concept on the Sacramento River, California, USA
Carl J. Legleiter, Paul J. Kinzel, Michael Dille, Massimo Vespignani, Uland Wong, Isaac E Anderson, Elizabeth Hyde, Christopher L. Gazoorian, Jennifer Marie Cramer
2024, Remote Sensing (16)
Image velocimetry has become an effective method of mapping flow conditions in rivers, but this analysis is typically performed in a post-processing mode after data collection is complete. In this study, we evaluated the potential to infer flow velocities in approximately real time as thermal images are being acquired from...
The 3D Elevation Program—Supporting the Texas economy
Claire DeVaughan
2024, Fact Sheet 2024-3054
Introduction High-resolution elevation data for Texas inform decision making to improve the State’s economy. Existing elevation data coverage is used to improve resiliency to natural disasters, manage energy infrastructure, and assess natural resources. The expanding availability of current and more accurate elevation data helps better support natural resources conservation, agriculture and...
Photogrammetry-based body condition for monitoring an Arctic marine mammal experiencing habitat loss
Karyn D. Rode, Anthony S. Fischbach, Mitzi Synnott, John Stewart, Nick Northcraft, Erika Allen, Kelly Trotto, Catherine Vancsok, Nicolas Issenjou, Sheriden Ploof, Stephanie Rager, Stacy DiRocco, Staci Owens, Adriane Prahl
2024, Marine Ecology Progress Series (751) 211-227
Monitoring animal body condition can provide insight on population responses to environmental change. Pacific walruses (Odobenus rosmarus divergens) are experiencing loss of their sea ice habitat which has decreased the time that females spend foraging during a critical period of pregnancy and lactation. Here we investigate the potential for body...
Topographic and bathymetric survey in support of the effectiveness assessment of the living shoreline restoration in Gandys Beach, New Jersey
William D. Capurso, Lukasz M. Niemoczynski, Hongqing Wang, Qin Chen, Gregg Snedden, Ling Zhu
2024, Open-File Report 2024-1072
High resolution topobathymetric field surveys were conducted by the U.S. Geological Survey in collaboration with Northeastern University and in cooperation with the U.S. Fish and Wildlife Service and The Nature Conservancy in a selected shoreline along Gandys Beach, New Jersey, from January to April 2018. These data are a critical...
ECCOE Landsat quarterly Calibration and Validation report—Quarter 2, 2024
Md Obaidul Haque, Nahid Hasan, Ashish Shrestha, Rajagopalan Rengarajan, Mark Lubke, Jerad L. Shaw, Kathryn Ruslander, Esad Micijevic, Michael J. Choate, Cody Anderson, Jeff Clauson, Kurt Thome, Ed Kaita, Raviv Levy, Jeff Miller, Leibo Ding
2024, Open-File Report 2024-1077
Executive Summary The U.S. Geological Survey Earth Resources Observation and Science Calibration and Validation (Cal/Val) Center of Excellence (ECCOE) focuses on improving the accuracy, precision, calibration, and product quality of remote-sensing data, leveraging years of multiscale optical system geometric and radiometric calibration and characterization experience. The ECCOE Landsat Cal/Val Team continually...
Status of public-supply water sources in 2022 and the development of a geographic information system methodology for the Public Drinking Water Source Water Assessment Program in Tennessee
Rebecca K. Ransom, Katherine J. Knierim, David Ladd, Brian Ham, Annabelle Dempsey
2024, Circular 1522
IntroductionIn 2021, the Tennessee Department of Environment and Conservation (TDEC) and the U.S. Geological Survey worked in cooperation to develop a geographic information <span...
Lithium resource in the Smackover Formation brines of Southern Arkansas
Katherine J. Knierim, Andrew L. Masterson, Philip A. Freeman, Bonnie McDevitt, Amanda H. Herzberg, Peng Li, Ciara Mills, Colin Doolan, Aaron M. Jubb, Scott M. Ausbrooks, Jessica Chenault
2024, Fact Sheet 2024-3052
Lithium-rich brine deposits occur throughout the United States, including in the Smackover Formation. The concentration of lithium in Smackover Formation brines was predicted across southern Arkansas by using a machine-learning model that incorporated lithium concentration data and geologic information. Between 5.1 and 19.0 million metric tons of lithium are calculated...
Estimating domestic self-supplied water use in Rhode Island, 2014–21
Catherine A. Chamberlin, Ian P. Armstrong, Timothy J. Stagnitta
2024, Scientific Investigations Report 2024-5109
Water withdrawal from private groundwater wells is often unaccounted for in water planning studies, and water from private wells can be a source of exposure to environmental contaminants. The sizes of populations that depend on private wells for domestic water use and the amounts of water that are withdrawn from...
A benchmark for computational analysis of animal behavior, using animal-borne tags
Benjamin Hoffmann, Maddie Cusimano, Vittorio Baglione, Daniela Canestrari, Damien Chevallier, Dominic L. DeSantis, Lorene Jeantet, Monique Ladds, Takuya Maekawa, Mata-Silva Vicente, Victor Moreno-Gonzalez, Anthony M. Pagano, Eva Trapote, Outi Vainio, Antti Vehkaoja, Ken Yoda, Katherine Zacarian, Ari Friedlaender
2024, Movement Ecology (12)
BackgroundAnimal-borne sensors (‘bio-loggers’) can record a suite of kinematic and environmental data, which are used to elucidate animal ecophysiology and improve conservation efforts. Machine learning techniques are used for interpreting the large amounts of data recorded by bio-loggers, but there exists no common framework for comparing the different...
The potential of remote sensing for improved infectious disease ecology research and practice
Claire S. Teitelbaum, António Ferraz, Susan E.W. De La Cruz, Morgan E. Gilmour, Ian G. Brosnan
2024, Proceedings of the Royal Society B: Biological Sciences (291)
Outbreaks of Covid-19 in humans, Dutch elm disease in forests, and highly pathogenic avian influenza in wild birds and poultry highlight the disruptive impacts of emerging infectious diseases on public health, ecosystems, and economies. Infectious disease dynamics often depend on environmental conditions that drive occurrence, transmission, and outbreaks. Remote sensing...