Black Terns (Chlidonias niger) beyond the breeding grounds: Occurrence, relative density, and habitat associations in the northern Gulf of Mexico
Pamela E. Michael, Jeffrey S. Gleason, J. Christopher Haney, Kathy M. Hixson, Yvan G. Satgé, Patrick G.R. Jodice
2024, Wilson Journal of Ornithology (136) 220-236
North American Black Terns (Chlidonias niger) breed primarily in the Prairie Pothole region of southern Canada and the northern United States, winter in Central and South American waters, and often migrate through the northern Gulf of Mexico (nGoM). This species has exhibited long-term population declines and is exposed to a...
Perspectives on the future of host-microbe biology from the Council on Microbial Sciences of the American Society for Microbiology
Monica Gestal, A. Elizabeth Oates, Denise M. Akob, Alison Criss, Host-Microbe Retreat Planning Committee, Host-Microbe Retreat Speakers
2024, mSphere (9)
Host-microbe biology (HMB) stands on the cusp of redefinition, challenging conventional paradigms to instead embrace a more holistic understanding of the microbial sciences. The American Society for Microbiology (ASM) Council on Microbial Sciences hosted a virtual retreat in 2023 to identify the future of the HMB field and innovations needed...
Two-dimensional hydraulic model for the Chain of Lakes on the Fox River near McHenry, Illinois
Charles V. Cigrand, Michael R. Ament
2024, Scientific Investigations Report 2024-5056
Forecasts of flows entering and leaving the Chain of Lakes on the Fox River in northeastern Illinois are critical information to water-resource managers operating the Stratton Dam at McHenry, Illinois. These managers determine the optimal operation of the Stratton Dam at McHenry, Ill., to manage Chain of Lakes pool levels...
Multistage time-to-event models improve survival inference by partitioning mortality processes of tracked organisms
Suresh A. Sethi, Alex L. Koeberle, Anna J. Poulton, Daniel W. Linden, Duane R. Diefenbach, Frances E. Buderman, Mary Jo Casalena, Kenneth Duren
2024, Scientific Reports (14)
Advances in tagging technologies are expanding opportunities to estimate survival of fish and wildlife populations. Yet, capture and handling effects could impact survival outcomes and bias inference about natural mortality processes. We developed a multistage time-to-event model that can partition the survival process into sequential phases that reflect the tagged...
Population and spatial dynamics of desert bighorn sheep in Grand Canyon during an outbreak of respiratory pneumonia
Clinton W. Epps, P. Brandon Holton, Ryan J. Monello, Rachel S. Crowhurst, Sarah Mccrimmon Gaulke, William Michael Janousek, Tyler G. Creech, Tabitha A. Graves
2024, Frontiers in Ecology and Evolution (12)
Introduction: Terrestrial species in riverine ecosystems face unique constraints leading to diverging patterns of population structure, connectivity, and disease dynamics. Desert bighorn sheep (Ovis canadensis nelsoni) in Grand Canyon National Park, a large native population in the southwestern USA, offer a unique opportunity to evaluate population patterns and processes in a...
An enhanced and expanded Toolbox for River Velocimetry using Images from Aircraft (TRiVIA)
Carl J. Legleiter, Paul J. Kinzel
2024, River Research and Applications (40) 1602-1616
Detailed, accurate information on flow patterns in river channels can improve understanding of habitat conditions, geomorphic processes, and potential hazards to help inform water management. Data describing flow patterns in river channels can be obtained efficiently via image-based techniques that have become more widely used in recent years as the...
Representation of surface-water flows using Gradient-Related Discharge in an Everglades Network
E. Swain, T. Adams
2024, Scientific Investigations Report 2024-5041
The Everglades Depth Estimation Network interpolates water-level gage data to produce daily water-level elevations for the Everglades in south Florida. These elevations were used to estimate flow vectors (gradients and directions) and volumetric flow rates using the Gradient-Related Discharge in an Everglades Network (GARDEN) application developed by the U.S....
Bibliography of water-quality studies in Gateway National Recreation Area, New York and New Jersey
Philip Savoy, Maria Marionkova, Christopher Schubert
2024, Open-File Report 2024-1035
The U.S. Geological Survey (USGS) provided technical assistance to the National Park Service (NPS) as part of the USGS-NPS Water-Quality Partnership, by gathering references related to water-quality research conducted in the three units of Gateway National Recreation Area (GATE): Jamaica Bay and Staten Island in New York, and Sandy Hook...
Understanding sea otter population change in southeast Alaska
Joseph Michael Eisaguirre, Toshio D. Matsuoka, George G. Esslinger, Benjamin P Weitzman, Paul A. Schuette, Jamie N. Womble
2024, Fact Sheet 2024-3007
IntroductionThe Southeast Alaska (SE) stock of northern sea otters (Enhydra lutris kenyoni) ranges from Cape Yakataga on the north to the Dixon Entrance on the south. During the maritime fur trade, sea otters were commercially harvested to near extinction in SE for their pelts and were presumed unlikely to naturally...
Unified 200 kyr paleohydrologic history of the Southern Great Basin: Death Valley, Searles Valley, Owens Valley and the Devils Hole cave
Tim Lowenstein, Kristian Olson, Brian W. Stewart, David McGee, Justin Stroup, Adam M. Hudson, Kathleen Wendt, Mark Peaple, Sarah Feakins, Ronald Spencer, Tripti Bhattacharya, Steven P. Lundblad, Ronald Litwin
2024, Quaternary Science Reviews (336)
We present a hydroclimate synthesis of the southern Great Basin over the last two glacial-interglacial cycles focused on paleolakes in Death Valley (core DV93-1), Searles Valley (core SLAPP-SRLS17), Owens Valley (core OL92), and the Devils Hole cave. There is...
In situ lung dust analysis by automated Field Emission Scanning Electron Microscopy with Energy Dispersive X-ray Spectroscopy: A method for assessing inorganic particles in tissue from coal miners
Emily A. Sarver, C. Keles, Heather A. Lowers, L. Zell-Baran, Leonard H. T. Go, J. Hua, C. Cool, Cecile Rose, F.H. Green, K. S. Almberg, R. A. Cohen
2024, Archives of Pathology (148) e154-e169
Context.—Overexposure to respirable coal mine dust can cause severe lung disease including progressive massive fibrosis (PMF). Field emission scanning electron microscopy with energy dispersive x-ray spectroscopy (FESEM-EDS) has been used for in situ lung dust particle analysis for evaluation of disease etiology. Automating such work can reduce time,...
Application of normalized radar backscatter and hyperspectral data to augment rangeland vegetation fractional classification
Matthew B. Rigge, Brett Bunde, Kory Postma, Simon Oliver, Norman Mueller
2024, Remote Sensing (16)
Rangeland ecosystems in the western United States are vulnerable to climate change, fire, and anthropogenic disturbances, yet classification of rangeland areas remains difficult due to frequently sparse vegetation canopies that increase the influence of soils and senesced vegetation, the overall abundance of senesced vegetation, heterogeneity of...
Deep lithospheric controls on surface deformation and seismicity around the East Anatolian Fault Zone and A3 Triple Junction
Jonathan Daily, Michael H. Darin, Donna L. Whitney, M. Cosca, Christian Teyssier, Nuretdin Kaymakci, Tuna Eken, Mary R. Reid, Susan L. Beck
2024, GSA Today (34) 4-12
The East Anatolian Fault Zone (EAFZ) is a plate-bounding strike-slip fault capable of hosting large earthquakes, as demonstrated by the extremely damaging February 2023 Mw 7.8 and Mw 7.7 mainshocks of the Kahramanmaraş earthquake sequence. Deformation related to this boundary, part of the Anatolia-Arabia-Africa (A3) Triple Junction, is diffuse, as was shown...
Kit foxes demonstrate adaptive compromise characteristics under intraguild predation pressure by coyotes in the Great Basin desert
Nadine A. Pershyn, Eric M Gese, Erica Francis Stuber, Bryan M. Kluever
2024, Scientific Reports (14)
Coyotes (Canis latrans) are believed to contribute to declining kit fox (Vulpes macrotis) numbers in the Great Basin desert through intraguild predation. Intraguild prey have been shown to exhibit adaptive compromise, whereby an animal increases selection for risky, but food-rich areas during times of food stress (i.e. winter). We evaluated...
Mammalian lures monitored with time-lapse cameras increase detection of pythons and other snakes
Marina E. McCampbell, McKayla M. Spencer, Kristen Hart, Gabrielle Link, Andrew J. Watson, Robert A. McCleery
2024, PeerJ (12)
BackgroundEnhancing detection of cryptic snakes is critical for the development of conservation and management strategies; yet, finding methods that provide adequate detection remains challenging. Issues with detecting snakes can be particularly problematic for some species, like the invasive Burmese python (Python bivittatus) in the Florida Everglades.MethodsUsing multiple survey...
Estimating biogeochemical rates using a computationally efficient Lagrangian approach
Edward Gross, Rusty Holleman, Wim Kimmerer, Tamara E. C. Kraus, Brian A. Bergamaschi, Scott Burdick-Yahya, David Senn
2024, Estuaries and Coasts (47) 1435-1455
Nutrient concentrations in many estuaries have increased over the past century due to increases in wastewater discharge and increased agricultural intensity, contributing to multiple environmental problems. Numerous biogeochemical and physical processes in estuaries influence nutrient concentrations during transport, resulting in complex spatial and temporal variability and...
Computationally efficient emulation of spheroidal elastic deformation sources using machine learning models: a Gaussian-process-based approach
Kyle R. Anderson, Mengyang Gu
2024, JGR Machine Learning and Computation (1)
Elastic continuum mechanical models are widely used to compute deformations due to pressure changes in buried cavities, such as magma reservoirs. In general, analytical models are fast but can be inaccurate as they do not correctly satisfy boundary conditions for many geometries, while numerical models are slow and may require...
Siting considerations for satellite observation of river discharge
Jack R. Eggleston, Christopher A. Mason, David M. Bjerklie, Michael T. Durand, Robert W. Dudley, Merritt Elizabeth Harlan
2024, Water Resources Research (60)
With growing global capability for satellite measurement of river discharge (flow) comes a need to understand and reduce error in satellite-based discharge measurements. Satellite-based discharge estimates are based on measurements of water surface width, elevation, slope, and potentially velocity. Site selection is important for reducing error and...
A reproducible manuscript workflow with a Quarto template
Richard A. Erickson, Althea A. Archer, Michael N. Fienen
2024, Journal of Fish and Wildlife Management (15) 251-258
Scientists and resource managers increasingly use Markdown-based tools to create reproducible reports and manuscripts. These workflows allow people to use standardized methods that are more reproducible, efficient, and transparent than other standard office tools. We present a Quarto template and demonstrate how this...
Assessing the vertical accuracy of digital elevation models by quality level and land cover
Minoo Han, Nicholas Enwright, Dean B. Gesch, Jason M. Stoker, Jeffrey J. Danielson, Christopher J. Amante
2024, Remote Sensing Letters (15) 667-677
The vertical accuracy of elevation data in coastal environments is critical because small variations in elevation can affect an area’s exposure to waves, tides, and storm-related flooding. Elevation data contractors typically quantify the vertical accuracy of lidar-derived digital elevation models (DEMs) on a per-project basis to gauge whether...
A spatial machine learning model developed from noisy data requires multiscale performance evaluation: Predicting depth to bedrock in the Delaware River Basin, USA
Phillip J. Goodling, Kenneth Belitz, Paul Stackelberg, Brandon J. Fleming
2024, Environmental Modelling & Software (179)
Spatial machine learning models can be developed from observations with substantial unexplainable variability, sometimes called ‘noise’. Traditional point-scale metrics (e.g., R2) alone can be misleading when evaluating these models. We present a multi-scale performance evaluation (MPE) using two additional scales (distributional and geostatistical). We apply the MPE framework to predictions...
Back from the brink: Estimating daily and annual abundance of natural-origin salmon smolts from 30-years of mixed-origin capture-recapture data
Dalton Hance, John Plumb, Russell Perry, Kenneth Tiffan
2024, Fisheries Research (278)
Evaluating the status and trends of natural-origin anadromous fish populations over time requires robust estimates of out-migrating juvenile abundance. Information on abundance is typically acquired by capturing actively migrating fish as they pass stationary monitoring platforms. Challenges to estimation include protracted migration timing, temporally varying capture probabilities and the contemporaneous...
Modeling the mid-Piacenzian warm climate using the water isotope-enabled Community Earth System Model (iCESM1.2-ITPCAS)
Yong Sun, Baohuang Su, Harry J. Dowsett, Haibin Wu, Jun Hu, Christian Stepanek, Zhongyu Xiong, Xiayu Yuan, Gilles Ramstein
2024, Climate Dynamics (62) 7741-7761
The mid-Piacenzian Warm Period (MPWP, ~ 3.264–3.025 Ma) is the most recent example of a persistently warmer climate in equilibrium with atmospheric CO2 concentrations similar to today. Towards studying patterns and dynamics of a warming climate the MPWP is often compared to today. Following the Pliocene Model Intercomparison Project, Phase 2...
Viability modeling for decision support with limited data: A lizard case study
Ashley B.C. Goode, Nathan Allan, Conor P. McGowan
2024, Journal of Fish and Wildlife Managment (15) 70-86
Plateau spot-tailed earless lizards, Holbrookia lacerata, are a species of ground lizard in central Texas that are under review for listing as endangered under the US Endangered Species Act, but heretofore no predictive models of population dynamics or viability have been developed. We used limited available data and published demographic...
Alaskan glacial dust is an important iron source to surface waters of the Gulf of Alaska
John Crusius, Carsten Lao, Thomas M. Holmes, J. W. Murray
2024, Geophysical Research Letters (51)
This work evaluates glacial dust as a source of sediment, and associated iron (Fe), to the Fe-limited Gulf of Alaska (GoA). A reanalysis of GoA sediment data, using rare earth elements and thorium as provenance tracers, suggests a flux to the ocean surface of Copper River (AK) glacial dust, and...