Geostatistical mapping of salinity conditioned on borehole logs, Montebello Oil Field, California
Neil C. Terry, Frederick Day-Lewis, Matthew K. Landon, Michael Land, Jennifer S. Stanton, John W. Lane
2022, Groundwater (60) 242-261
We present a geostatistics-based stochastic salinity estimation framework for the Montebello Oil Field that capitalizes on available total dissolved solids (TDS) data from groundwater samples as well as electrical resistivity (ER) data from borehole logging. Data from TDS samples (n = 4924) was coded into an indicator framework...
Population genomics of free-ranging Great Plains white-tailed and mule deer reflects a long history of interspecific hybridization
Fraser J. Combe, Levi Jaster, Andrew Ricketts, David A. Haukos, Andrew G. Hope
2022, Evolutionary Applications (15) 111-131
Hybridization is a natural process at species-range boundaries that may variably promote the speciation process or break down species barriers but minimally will influence management outcomes of distinct populations. White-tailed deer (Odocoileus virginianus) and mule deer (Odocoileus hemionus) have broad and overlapping distributions in North America and a recognized capacity...
Warming conditions boost reproductive output for a northern gopher tortoise population
Elizabeth Ann Hunter, Kevin J. Loope, K. Kristina Drake, Kaitlyn Hanley, Douglas N. Jones Jr., Kevin T. Shoemaker, David C. Rostal
2022, Endangered Species Research (46) 215-226
The effects of climate change on at-risk species will depend on how life history processes respond to climate and whether the seasonal timing of local climate changes overlaps with species-specific windows of climate sensitivity. For long-lived, iteroparous species like gopher tortoises Gopherus polyphemus, climate likely has a greater influence on...
Final report: Understanding historical and predicting future lake temperatures in North and South Dakota
Jordan Read
2022, Report
Lakes, reservoirs, and ponds are central and integral features of the landscape of the North Central US. These water bodies provide aesthetic, cultural, and ecosystem services to surrounding wildlife and human communities. Lakes are warming, resulting in the loss of many native fish. In order to manage economically valuable fisheries...
Physics-guided machine learning from simulation data: An application in modeling lake and river systems
Xiaowei Jia, Yiqun Xie, Sheng Li, Shengyu Chen, Jacob Aaron Zwart, Jeffrey Michael Sadler, Alison P. Appling, Samantha K. Oliver, Jordan Read
2022, Conference Paper, IEEE International Conference on Data Mining
This paper proposes a new physics-guided machine learning approach that incorporates the scientific knowledge in physics-based models into machine learning models. Physics-based models are widely used to study dynamical systems in a variety of scientific and engineering problems. Although they are built based on general physical laws that govern the...
Data resources for NGA-subduction project
V. Contreras, S. Mazzoni, T. Kishida, S.K. Ahdi, Robert B. Darragh, R.R. Youngs, B.S.J. Chiou, N. Kuehn, Kathryn Wooddell, Y. Bozorgnia, Jonathan P. Stewart
2022, Extramural-Authored Publication Paper
A relational database was developed over a five-year period to support ground motion model (GMM) development for the Next Generation Attenuation-Subduction (NGA-Sub) project. The relational database has components that interact according to a database schema, including a source and path component used to describe attributes of seismic sources in global...
The impact of 3D finite‐fault information on ground‐motion forecasting for earthquake early warning
Jessica R. Murray, Eric M. Thompson, Annemarie S. Baltay Sundstrom, Sarah E. Minson
2022, Bulletin of the Seismological Society of America (112) 779-802
We identify aspects of finite‐source parameterization that strongly affect the accuracy of estimated ground motion for earthquake early warning (EEW). EEW systems aim to alert users to impending shaking before it reaches them. The U.S. West Coast EEW system, ShakeAlert, currently uses two algorithms based...
Influence of seasonal extreme flows on Brook Trout recruitment
John A. Sweka, Tyler Wagner
2022, North American Journal of Fisheries Management (151) 231-244
Populations of Brook Trout Salvelinus fontinalis exhibit large variation in annual recruitment (abundance of young of the year [age 0]), which is likely a product of density-dependent and density-independent factors. Quantifying the importance of each of these mechanisms in regulating Brook Trout recruitment would be valuable to managers that are responsible for...
Accuracy and precision of otolith-derived age Interpretations for known-age lake trout
Christopher Osborne, Jason Robinson, Brian F. Lantry, Brian Weidel, Ian R. Hardin, Michael J. Connerton
2022, North American Journal of Fisheries Management (42) 207-216
Catch-at-age data are used to inform important management decisions for recovering populations of Lake Trout Salvelinus namaycush. Age data for Lake Trout are commonly derived from interpretation of annual growth marks (annuli) on the fish’s otoliths. Due to the tendency for annuli to vary in appearance and...
Review of ESA SYMP 7: A dynamic perspective on ecosystem restoration–establishing temporal connectivity at the intersection between paleoecology and restoration ecology
Rachel Reid, Jenny McGuire, Jens-Christiane Svenning, G. Lynn Wingard, David Moreno-Mateos
2022, Bulletin Ecological Society of America (103)
Landscape connectivity is vital not only spatially, but also temporally; as ecosystems change, it is important to be aware of past, present, and future variables that may impact ecosystem function and biodiversity. As climate and environments continue to change, choosing appropriate restoration targets is becoming more challenging. By considering the...
Bedrock gorge incision via anthropogenic meander cutoff
Adrian Bender
2022, Geology (50) 321-325
Bedrock river-gorge incision represents a fundamental landscape-shaping process, but a dearth of observational data at >10 yr timescales impedes understanding of gorge formation. I quantify 102 yr rates and processes of gorge incision using historical records, field observations, and topographic and image analysis of a human-caused...
Correspondence analysis for mineral commodity research: An example workflow for mineralized calderas, southwest United States
Joshua Mark Rosera, Drew S Coleman
2022, Natural Resources Research (31) 9-36
Historical mine and mineral deposit datasets are routinely used to inform quantitative mineral assessment models, but they also can contain a wealth of supplementary qualitative information that is generally underutilized. We present a workflow that uses correspondence analysis, an exploratory tool commonly applied to multivariate abundance...
Downhill from Austin and Ely to Las Vegas: U-Pb detrital zircon suites from the Eocene–Oligocene Titus Canyon Formation and associated strata, Death Valley, California
Elizabeth L. Miller, Mark Raftrey, Jens-Erik Lundstern
2022, GSA Special Papers (555)
In a reconnaissance investigation aimed at interrogating the changing topography and paleogeography of the western United States prior to Basin and Range faulting, a preliminary study made use of U-Pb ages of...
Predicting coastal impacts by wave farms: A comparison of wave-averaged and wave-resolving models
Daniel R. David, Dirk P. Rijnsdorp, Jeff E. Hansen, Ryan J. Lowe, Mark L. Buckley
2022, Renewable Energy (183) 764-780
Wave energy converters (WECs) will have to be arranged into arrays of many devices to extract commercially viable amounts of energy. To understand the potential coastal impacts of WEC arrays, most research to date has relied on wave-averaged models given their...
Combining fixed-location count data and movement data to estimate abundance of a lake sturgeon spawning run
Lisa K. Izzo, Gayle Barbin Zydlewski, Donna L. Parrish
2022, Canadian Journal of Fisheries and Aquatic Sciences (79) 925-935
Estimating abundance of migrating fishes is challenging. While sonars can be deployed continuously, improper assumptions about unidirectional migration and complete spatial coverage can lead to inaccurate estimates. To address these challenges, we present a framework for combining fixed-location count data from a dual-frequency identification sonar (DIDSON) with movement data from...
Aquatic vegetation dynamics in the Upper Mississippi River over 2 decades spanning vegetation recovery
Kristen L. Bouska, Danelle M. Larson, Deanne C. Drake, Eric M. Lund, Alicia M. Carhart, Kyle R. Bales
2022, Freshwater Science (41) 33-44
Macrophytes have recovered in rivers across the world, but long-term data and studies are lacking regarding community assembly and diversity changes coincident with macrophyte recovery. We investigated patterns of aquatic vegetation species composition and diversity in thousands of sites in the Upper Mississippi River, USA, spanning 21...
Apparent age dependence of the fault weakening distance in rock friction
Nicholas M. Beeler, Allan Rubin, Path Bhattacharya, Brian D. Kilgore, Terry Tullis
2022, Journal of Geophysical Research (127)
During rock friction experiments at large displacement, room temperature and humidity, and following a hold test, the fracture energy increases approximately as the square of the logarithm of hold duration. While it's been long known that failure strength increases with log hold time, here the slip weakening...
New insights on faulting and intrusion processes during the June 2007, East Rift Zone eruption of Kilauea volcano, Hawai'i
J. Leeburn, C. Wauthier, Emily K. Montgomery-Brown, J. Gonzalez-Santana
2022, Journal of Volcanology and Geothermal Research (421)
The East Rift Zone (ERZ) of Kīlauea Volcano, Hawai'i, represents one of the most volcanically active regions in the world. The 2007 Father's Day (FD) dike intrusion, eruption, and accompanying slow-slip event (SSE) has been previously modeled using geodetic data to constrain the geometry of the intrusion and the timing...
Local variations in broadband sensor installations: Orientations, sensitivities, and noise levels
Adam T. Ringler, Robert Anthony
2022, Pure and Applied Geophysics (179) 217-231
As seismologists continue to place more stringent demands on data quality, accurately described metadata are becoming increasingly important. In order to better constrain the orientation and sensitivities of seismometers deployed in U.S. Geological Survey networks, the Albuquerque Seismological Laboratory (ASL) has recently begun identifying true north...
An evaluation of the timing accuracy of global and regional seismic stations and networks
Ying Yang, Xiaodong Song, Adam T. Ringler
2022, Seismological Research Letters (93) 161-172
Clock accuracy is a basic parameter of any seismic station and has become increasingly important for seismology as the community seeks to refine structures and dynamic processes of the Earth. In this study, we measure the arrival time differences of moderate repeating earthquakes with magnitude...
Time to get real with qPCR controls: The frequency of sample contamination and the informative power of negative controls in environmental DNA studies
Patrick Ross Hutchins, Leah Nicole Simantel, Adam Sepulveda
2022, Molecular Ecology Resources (22) 1319-1329
Environmental (e)DNA methods have enabled rapid, sensitive and specific inferences of taxa presence throughout diverse fields of ecological study. However, use of eDNA results for decision-making has been impeded by uncertainties associated with false positive tests putatively caused by sporadic or systemic contamination. Sporadic contamination is...
Reply to “comment on ‘which earthquake accounts matter?’ by Susan E. Hough and Stacey S. Martin” by David J. Wald
Susan E. Hough, Stacey S. Martin
2022, Seismological Research Letters (93) 506-511
We thank David Wald (Wald, 2021; henceforth, W21) for his interest in our recent article (Hough and Martin, 2021; henceforth, HM21). Although different perspectives are vital in science, we are concerned that W21 misrepresents HM21 as an oblique criticism of the U.S....
Comment on “Which earthquake accounts matter” by Susan E. Hough and Stacey S. Martin
David J. Wald
2022, Seismological Research Letters (93) 500-505
In their analysis of the U.S. Geological Survey’s (USGS) “Did You Feel It?” (DYFI) data Hough and Martin (2021) claim, among other assertions, that the following:Socioeconomic and geopolitical factors can introduce biases in the USGS’ characterization of earthquakes and their effects, especially if online data collection systems...
Techniques to improve ecological interpretability of black box machine learning models
Thomas Welchowski, Kelly O. Maloney, Richard M. Mitchell, Matthias Schmid
2022, Journal of Agricultural, Biological, and Environmental Statistics (27) 175-197
Statistical modeling of ecological data is often faced with a large number of variables as well as possible nonlinear relationships and higher-order interaction effects. Gradient boosted trees (GBT) have been successful in addressing these issues and have shown a good predictive performance in modeling nonlinear relationships, in particular in classification settings with...
Recursive Bayesian computation facilitates adaptive optimal design in ecological studies
Clinton B. Leach, William J. Perry, Joseph M. Eisaguirre, Jamie N. Womble, Michael R. Bower, Mevin Hooten
2022, Ecology (103)
Optimal design procedures provide a framework to leverage the learning generated by ecological models to flexibly and efficiently deploy future monitoring efforts. At the same time, Bayesian hierarchical models have become widespread in ecology and offer a rich set of tools for ecological learning and...
