Publications
Filter Total Items: 258
Emergent headwater types for watershed monitoring, research, and planning Emergent headwater types for watershed monitoring, research, and planning
Headwaters—that is headwater streams and the watersheds they drain—strongly influence water quality, ecosystem services, and hydrologic connectivity, yet remain poorly mapped, monitored, and understood at large spatial scales. Using available spatial data to classify headwater “types” could therefore enhance the utility of sparse monitoring data to advance research and watershed planning...
Authors
Erin C. Seybold, John C. Hammond, Admin Husic, Hilary McMillan, Heather Golden, Jay R. Christensen, Catalina Segura, Margaret Zimmer, Adam N. Price, Kristin Jaeger, Li Li, D. Tyler Mahoney, Fred Cheng, C. Nathan Jones, Christa Kelleher, Roy Sando, Chuck Lane, Adam Ward
A hybrid approach for revealing headwater hydrology A hybrid approach for revealing headwater hydrology
Coordinated work to compile existing data and apply models pairing physical understanding with machine learning could substantially improve streamflow predictions for little-known headwater basins.
Authors
John C. Hammond, Jay R. Christensen, Kristin Jaeger, Roy Sando, Jacob Aaron Zwart
Creating 3D point clouds, digital elevation models, and orthomosaics from historical aerial imagery through structure from motion aided photogrammetry Creating 3D point clouds, digital elevation models, and orthomosaics from historical aerial imagery through structure from motion aided photogrammetry
Detailed and accurate historical data are crucial to characterizing landscape change, whether it is caused by natural phenomena or of anthropogenic origin. Aerial imagery has been periodically collected by government and nongovernment agencies, for a broad range of purposes, since the early 20th century. The acquisition of aerial images involves using standardized equipment with large...
Authors
Jessica D. DeWitt, Kathleen M. Boston, Sindhuja Sunder, Sandra Bond, Pete G. Chirico, Jennifer A. Curtis, Tom Nobles, Neffra Matthews
Global carbon investment in terrestrial biological nitrogen fixation Global carbon investment in terrestrial biological nitrogen fixation
Biological nitrogen (N) fixation (BNF) provides the N needed to produce proteins and other biological building blocks, helping feed humanity and mitigate climate change. Due to its high energetic cost compared to other forms of N acquisition, biotic investment in BNF indicates N limitation. Globally gridded BNF flux data provide an opportunity to determine the energetic investment in BNF...
Authors
Duncan N.L. Menge, Carla R. Reis Ely, Steven S. Perakis, Sian Kou-Giesbrecht, Cory C. Cleveland, Sasha C. Reed, Benton N. Taylor, Sarah A. Batterman, Timothy E. Crews, Katherine A. Dynarski, Jennifer L. Funk, Maga G. Gei, Kevin L. Griffin, Michael J. Gundale, David F. Herridge, Sarah E. Jovan, Mark B. Peoples, Johannes Piipponen, Emilio Rodriguez-Caballero, Verity G. Salmon, Fiona M. Soper, Anika P. Staccone, Bettina Weber, Amelia A. Wolf, Nina Wurzburger
Steps toward a satellite-based global volcano monitoring and early warning system: From pilot to demonstrator to GVEWERS Steps toward a satellite-based global volcano monitoring and early warning system: From pilot to demonstrator to GVEWERS
The consequences of volcanic eruptions span a broad range. Large explosive eruptions that recur every several hundred to thousands of years can impact global climate, but even small eruptions of a magnitude that takes place multiple times each year someplace on Earth can have devastating effects given the large number of people who live near volcanoes. Ground-based monitoring is...
Authors
Michael P. Poland, Juliet Biggs, M. E. Pritchard, Marco Bagnardi, Susanna K. Ebmeier, Christelle Wauthier, Andrew Eddy, Antonio Montuori, Simona Zoffoli
Rapid earthquake magnitude classification via P-wave strains from borehole strainmeters and Distributed Acoustic Sensing Rapid earthquake magnitude classification via P-wave strains from borehole strainmeters and Distributed Acoustic Sensing
Distributed Acoustic Sensing (DAS) offers a promising approach for earthquake early warning (EEW) in settings where seismic networks are costly to maintain. By repurposing fiber-optic cables as dense strainmeter arrays, DAS enables real-time earthquake detection wherever those fibers are accessible. However, poor azimuthal coverage and challenges in estimating magnitude from strain...
Authors
Theresa Marie Sawi, Jeffrey J. McGuire, Andrew J. Barbour, Clara Yoon, Martin Karrenbach, Connie Stewart
Streamflow and surface-water presence data availability across the conterminous United States: A review for headwater systems Streamflow and surface-water presence data availability across the conterminous United States: A review for headwater systems
Water is essential for life on Earth, supporting ecosystems, human health, and economic activities. Hydrology relies on observational data, and this paper discusses regional and national datasets for the conterminous United States (CONUS) publicly available as of 2023, focusing on headwaters, defined as first- and second-order streams at 1:24000 scale. It identifies 72 primary and...
Authors
Roy Sando, Kristin Jaeger, Christa Kelleher, John C. Hammond, Jay R. Christensen, Catalina Segura, Heather E. Golden, Frederick Y. Cheng, Admin Husic, C. Nathan Jones, Charles R. Lane, Li Li, D. Tyler Mahoney, Hillary McMillan, Adam N. Price, Erin C. Seybold, Adam Ward, Margaret Zimmer, Steven James Pestana
Challenges and opportunities for national-scale projections of future coastal landscape change Challenges and opportunities for national-scale projections of future coastal landscape change
Local to global scale projections of future coastal landscape change are essential to improve land and resource management decisions that aim to prepare for and reduce risk exposure to impending coastal hazards. However, the availability of actionable knowledge is often limited due to the complexity of drivers of change, their consequences, and uncertainties that span disciplines...
Authors
Erika E. Lentz, Davina L. Passeri, Sara L. Zeigler, Kate White, Thomas Wahl, Amanda D. Stoltz, Elizabeth A. Pendleton, Shubhra Misra, Trevor D. Meckley, Ben Hamlington, Neil K. Ganju, Amanda E. Cravens, Joel A. Carr, Christine A. Buckel
Potential impacts of groundwater pumping on stream temperature are greatest in streams with substantial cold groundwater inflows Potential impacts of groundwater pumping on stream temperature are greatest in streams with substantial cold groundwater inflows
Groundwater pumping-induced reductions in streamflow (known as ‘streamflow depletion’) have been documented worldwide, but potential impacts of streamflow depletion on stream temperature are not well understood. Here, we use two types of models to identify potential impacts of pumping on stream temperature across the conterminous United States (CONUS) to determine which aspects of a...
Authors
Dana A. Lapides, Sam Zipper, John C. Hammond
Hierarchical mixture models and high-resolution monitoring data can inform siting and operational strategies to mitigate bat fatalities at wind turbines Hierarchical mixture models and high-resolution monitoring data can inform siting and operational strategies to mitigate bat fatalities at wind turbines
Bats provide critical ecosystem services, but bat fatalities due to wind energy development may imperil some bat populations. Statistical models are used to estimate the total fatalities that occur based on carcasses observed during monitoring surveys. Current models often estimate fatalities aggregated across species, time, and/or turbines, but fall short of reliably informing siting...
Authors
Charles J. Labuzzetta, Arnold (Contractor) Johnsen, Amber Andress, Teresa Bohner, Alejandro Grajal-Puche, Megan Seymour, Bethany R. Straw, Wayne E. Thogmartin, Bradley James Udell, Ashton M. Wiens, Jay E. Diffendorfer
Surface variable‐based machine learning for scalable arsenic prediction in undersampled areas Surface variable‐based machine learning for scalable arsenic prediction in undersampled areas
In the United States, private wells are not federally regulated, and many households do not test for Arsenic (As). Chronic exposure is linked with multiple health outcomes, and risk can change sharply over short distances and with well depth. Coarse maps or sparse sampling often miss exceedances. Most existing models operate at ∼1 km resolution and use groundwater chemistry or detailed...
Authors
Shams Azad, Mason O. Stahl, Melinda L. Erickson, Beck A. DeYoung, Craig T. Connolly, Lawrence Chillrud, Kathrin Schilling, Ana Navas-Acien, Anirban Basu, Brian Mailloux, Benjamin C. Bostick, Steven N. Chillrud
Identifying headwater streams across the conterminous United States Identifying headwater streams across the conterminous United States
Headwater streams play critical roles in hydrologic and biogeochemical processes and functions, yet their spatial distribution and land cover context remain poorly understood at continental scales, and no dedicated geospatial dataset exists. Building from a high-resolution conterminous United States (CONUS) hydrography network dataset, we quantified the spatial extent, density, and...
Authors
Charles R. Lane, Ellen D’Amico, Jay R. Christensen, Heather E. Golden, Frederick Y. Cheng, John C. Hammond, Admin Husic, Kristin L. Jaeger, C. Nathan Jones, Christa A. Kelleher, Li Li, D. Tyler Mahoney, Hilary K. McMillan, Adam N. Price, Roy Sando, Catalina Segura, Erin C. Seybold, Adam S. Ward, Margaret Zimmer