Conference Papers
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 almost 5,000 conference papers authored by our scientists and refine search by topic, location, year, and advanced search.
Filter Total Items: 5519
Big avalanches in a changing climate: Using tree-ring derived avalanche chronologies to examine avalanche frequency across multiple climate types Big avalanches in a changing climate: Using tree-ring derived avalanche chronologies to examine avalanche frequency across multiple climate types
Large-magnitude snow avalanches pose a hazard to humans and infrastructure worldwide. Analyzing the spatiotemporal behavior of avalanches and the contributory climate factors is important for understanding historical variability in climate-avalanche relationships as well as improving avalanche forecasting. This study uses established dendrochronological methods to develop long-term...
Authors
Erich H. Peitzsch, Gregory T. Pederson, Justin T. Martin, Eran Hood, Ethan M. Greene, Karl W. Birkeland, Kelly Elder, Gabriel Wolken, Nickolas E. Kichas, Daniel Kent Stahle, John Harley
Using tree rings to compare Colorado’s 2019 avalanche cycle to previous large avalanche cycles Using tree rings to compare Colorado’s 2019 avalanche cycle to previous large avalanche cycles
Large magnitude avalanches (size ≥D3) impact settlements, transportation corridors, and public safety worldwide. In Colorado, United States, avalanches have killed more people than any other natural hazard since 1950. In March 2019, a historically large magnitude avalanche cycle occurred throughout the entire mountainous portion of Colorado resulting in more than 1000 reported avalanches...
Authors
Erich H. Peitzsch, Ethan M. Greene, Jason Konigsberg, Gregory T. Pederson, Justin T. Martin, Nickolas Kichas, Daniel Kent Stahle, Adrien Favillier, Nicolas Eckert, Karl W. Birkeland, Kelly Elder
Stable isotope constraints on the source of ore fluids for the Hicks Dome REE+Y-HFSE-fluorspar deposit Stable isotope constraints on the source of ore fluids for the Hicks Dome REE+Y-HFSE-fluorspar deposit
Hicks Dome is comprised of coarse crystalline Mississippi Valley Type deposits at shallow levels and an enigmatic, fine-grained fluorite, rare earth elements, Y, high field strength elements, Be, and Ba rich deposit at deeper levels. Phyllosilicates from a lamprophyre dike and a breccia from two Hicks Dome drill cores were sampled to resolve the fluid history of the entire deposit using...
Authors
Julia A. McIntosh, Craig A. Johnson, Allen K. Andersen, Albert H. Hofstra
Development of an integrated survey design to assess invasive round goby abundance and distribution across gradients in substrate and depth Development of an integrated survey design to assess invasive round goby abundance and distribution across gradients in substrate and depth
No abstract available.
Authors
Peter C. Esselman, Darryl W. Hondorp, Edward F. Roseman, Meredith B. Nevers, Todd Wills, Stephen C. Riley
Can the mining industry meet global demand for critical minerals? Can the mining industry meet global demand for critical minerals?
No abstract available.
Authors
Jeffrey L. Mauk, Jonathan Andrew Funk, Nick Karl
Transferring deep learning models for hydrographic feature extraction from IfSAR data in Alaska Transferring deep learning models for hydrographic feature extraction from IfSAR data in Alaska
The National Hydrography Dataset (NHD) managed by the U.S. Geological Survey (USGS) is being updated with higher-quality feature representations through efforts that derive hydrography from 3DEP HR elevation datasets. Deriving hydrography from elevation through traditional flow routing and interactive methods is a complex, time-consuming process that must be tailored for different...
Authors
Larry V. Stanislawski, Nattapon Jaroenchai, Shaowen Wang, Ethan J. Shavers, Alexander Duffy, Philip T. Thiem, Zhe Jiang, Adam Camerer
Generalization quality metrics to support multiscale mapping: Hausdorff and average distance between polylines Generalization quality metrics to support multiscale mapping: Hausdorff and average distance between polylines
Large geospatial datasets must often be generalized for analysis and display at reduced scales. Automated methods including artificial intelligence and deep learning are being applied to this problem, but the results are often analyzed on the basis of limited and subjective measures. To better support automation, a project is underway to develop a robust Python toolkit for computing...
Authors
Barry J. Kronenfeld, Larry Stanislawski, Barbara P. Buttenfield, Ethan J. Shavers
Finding a GEM: The Grassland Effectiveness Monitoring (GEM) protocol provides a tiered approach for habitat treatment assessment across private lands incentive programs Finding a GEM: The Grassland Effectiveness Monitoring (GEM) protocol provides a tiered approach for habitat treatment assessment across private lands incentive programs
The soil store carbon dioxide from the atmosphere through different processes, depending on the use and management of the land. For the Maderas del Carmen and Ocampo natural protected areas, one of the main conservation goals is to preserve natural habitats, ensuring an ecological balance and making a sustainable. The main productive activity in the region is extensive livestock...
Authors
Rebekah J. Rylander, Anna M. Matthews, Daniel Bunting, Michael C. Duniway, James J. Giocomo, Anna C. Knight, Adriana Leiva, Robert M. Perez, Kourtney Stonehouse, Derek Wiley, Don Wilhelm
Grassland Effectiveness Monitoring (GEM): A tiered approach for habitat treatment assessment across private lands incentive programs Grassland Effectiveness Monitoring (GEM): A tiered approach for habitat treatment assessment across private lands incentive programs
Introduction The decline of North American grasslands is a topic of increasing interest as agencies and organizations work to address subsequent declines in wildlife species, including grassland birds (Rosenberg et al. 2019), pronghorn (Antilocapra americana) (Gedir et al. 2015), and other grassland-dependent taxa. In response to grassland habitat loss, conservation programs and policies...
Authors
Anna M. Matthews, Rebekah J. Rylander, Daniel Bunting, Michael C. Duniway, James J. Giocomo, Anna C. Knight, Adriana Leiva, Robert M. Perez, Kourtney Stonehouse, Derek Wiley, Don Wilhelm
Constraints on the genesis of Au veins in interior Alaska: Evidence from geochronology and vein textures Constraints on the genesis of Au veins in interior Alaska: Evidence from geochronology and vein textures
The origin of Au-bearing, low sulfide quartz veins in the Pogo and Tibbs Creek regions of interior Alaska remain enigmatic. Intrusion-related Au and mesozonal orogenic vein models have both been proposed (Thompson and Newberry, 2000; Rhys et al., 2003; Goldfarb et al., 2022; Dilworth et al., 2007). To date, studies of igneous geochronology and metamorphic timing have shown that gold...
Authors
Douglas C. Kreiner, William Thompson, Jonathan Saul Caine, Ashleigh Ball, Christopher S. Holm-Denoma, Paul O’Sullivan, Holly J. Stein
CGS: Coupled growth and survival model with cohort fairness CGS: Coupled growth and survival model with cohort fairness
Fish modeling in complex environments is critical for understanding drivers of population dynamics in aquatic systems. This paper proposes a Bayesian network method for modeling fish survival and growth over multiple connected rivers. Traditional fish survival models capture the effect of multiple environmental drivers (e.g., stream temperature, stream flow) by adding different variables...
Authors
Erhu He, Yue Wan, Benjamin Letcher, Jennifer H. Fair, Yiquin Xie, Xiaowei Jia
The spatial distribution of debris flows in relation to observed rainfall anomalies: Insights from the Dolan Fire, California The spatial distribution of debris flows in relation to observed rainfall anomalies: Insights from the Dolan Fire, California
A range of hydrologic responses can be observed in steep, recently burned terrain, which makes predicting the spatial distribution of large debris flows challenging. Studies from rainfall-induced landslides in unburned areas show evidence of hydroclimatic tuning of landslide triggering, such that the spatial distribution of events is best predicted by the observed rainfall anomaly...
Authors
David B. Cavagnaro, Scott W. McCoy, Matthew A. Thomas, Jaime Kostelnik, Donald N. Lindsay