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: 5585
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
Bedrock erosion by debris flows at Chalk Cliffs, Colorado, USA: Implications for bedrock channel evolution Bedrock erosion by debris flows at Chalk Cliffs, Colorado, USA: Implications for bedrock channel evolution
Debris flow erosion into bedrock helps to set the pace of mountain denudation, but there are few empirical observations of this process. We studied the effects of debris flows on bedrock erosion using Structure-From-Motion photogrammetry and multiple real-time monitoring measurements. We found that the distribution of bedrock erosion across the channel cross-section could be generalized...
Authors
Francis K. Rengers, Jason W. Kean, Jeffrey A. Coe, Megan Hanson, Joel Smith
Using integrated growth to delineate debris-flow inundation Using integrated growth to delineate debris-flow inundation
Debris-flow volume is fundamental to mobility, yet many debris flows change volume as they travel. Growth can occur through diverse processes such as channel-bed entrainment, bank failures, aggregation of landslides, and coalescence of multiple flows. Integrating growth, either over upslope area or stream length, combines the effects of these growth processes and requires specification...
Authors
Mark E. Reid, Dianne L. Brien, Collin Cronkite-Ratcliff, Jonathan P. Perkins
Runout model evaluation based on back-calculation of building damage Runout model evaluation based on back-calculation of building damage
We evaluated the ability of three debris-flow runout models (RAMMS, FLO2D and D-Claw) to predict the number of damaged buildings in simulations of the 9 January 2019 Montecito, California, debris-flow event. Observations of building damage after the event were combined with OpenStreetMap building footprints to construct a database of all potentially impacted buildings. At the estimated...
Authors
Katherine R. Barnhart, Jason W. Kean
Forecasting the inundation of postfire debris flows Forecasting the inundation of postfire debris flows
In the semi-arid regions of the western United States, postfire debris flows are typically runoff generated. The U.S. Geological Survey has been studying the mechanisms of postfire debris-flow initiation for multiple decades to generate operational models for forecasting the timing, location, and magnitude of postfire debris flows. Here we discuss challenges and progress for extending...
Authors
Katherine R. Barnhart, Ryan P Jones, David L. George, Francis K. Rengers, Jason W. Kean
Historical maps inform landform cognition in machine learning Historical maps inform landform cognition in machine learning
No abstract available.
Authors
Samantha T. Arundel, Sinha Gaurav, Wenwen Li, David P. Martin, Kevin G McKeehan, Philip T. Thiem
Automated mapping of culverts, bridges, and dams Automated mapping of culverts, bridges, and dams
Accurate maps of built structures around stream channels, such as dams, culverts, and bridges, are vital in monitoring infrastructure, risk management, and hydrologic modeling. Hydrologic modeling is essential for research and decisionmaking related to infrastructure and development planning, emergency management, ecology, and developing hydrographic data. Technological advances in...
Authors
Ethan J. Shavers, Larry Stanislawski, Joel Schott, Zachary Brosseau
DisasterNet: Causal Bayesian networks with normalizing flows for cascading hazards DisasterNet: Causal Bayesian networks with normalizing flows for cascading hazards
Sudden-onset hazards like earthquakes often induce cascading secondary hazards (e.g., landslides, liquefaction, debris flows, etc.) and subsequent impacts (e.g., building and infrastructure damage) that cause catastrophic human and economic losses. Rapid and accurate estimates of these hazards and impacts are critical for timely and effective post-disaster responses. Emerging remote...
Authors
Xuechun Li, Paula Madeline Burgi, Wei Ma, Haeyoung Noh, David J. Wald, Susu Xu