Integrating distance sampling survey data with population indices to separate trends in abundance and temporary immigration
Joshua H. Schmidt, Tammy L. Wilson, William L. Thompson, Buck A. Mangipane
2022, Journal of Wildlife Management (86)
Managers rely on accurate estimators of wildlife abundance and trends for management decisions. Despite the focus of contemporary wildlife science on developing methods to improve inference from wildlife surveys, legacy datasets often rely on index counts that lack information about the detection process. Data integration can be a useful tool...
The occurrence and hazards of great subduction zone earthquakes
Erin A. Wirth, Valerie J. Sahakian, Laura M Wallace, Daniel Melnick
2022, Nature Reviews Earth & Environment (3) 125-140
Subduction zone earthquakes result in some of the most devastating natural hazards on Earth. Knowledge of where great (moment magnitude M ≥ 8) subduction zone earthquakes can occur and how they rupture is critical to constraining future seismic and tsunami hazards. Since the occurrence of well-instrumented great earthquakes, such...
BIOTAS: BIOTelemetry Analysis Software, for the semi-automated removal of false positives from radio telemetry data
Kevin Nebiolo, Theodore R. Castro-Santos
2022, Animal Biotelemetry (10) 1-16
IntroductionRadio telemetry, one of the most widely used techniques for tracking wildlife and fisheries populations, has a false-positive problem. Bias from false-positive detections can affect many important derived metrics, such as home range estimation, site occupation, survival, and migration timing. False-positive removal processes have relied upon simple filters...
Risk-based prioritization of organic chemicals and locations of ecological concern in sediment from Great Lakes tributaries
Austin K. Baldwin, Steven R. Corsi, Owen M. Stefaniak, Luke C. Loken, Daniel L. Villeneuve, Gerald T. Ankley, Brett R. Blackwell, Peter L. Lenaker, Michelle A. Nott, Marc A. Mills
2022, Environmental Toxicology and Chemistry (41) 1016-1041
With improved analytical techniques, environmental monitoring studies are increasingly able to report the occurrence of tens or hundreds of chemicals per site, making it difficult to identify the most relevant chemicals from a biological standpoint. For this study, organic chemical occurrence was examined, individually and as mixtures, in the context...
Evaluating the effect of expert elicitation techniques on population status assessment in the face of large uncertainty
Jennifer F. Moore, Julien Martin, Hardin Waddle, Evan H. Campbell Grant, Jillian Elizabeth Fleming, Eve Bohnett, Thomas S.B. Akre, Donald J. Brown, Michael T. Jones, Jessica R. Meck, Kevin J. Oxenrider, Anthony Tur, Lisabeth L. Willey, Fred A Johnson
2022, Journal of Environmental Management (306)
Population projection models are important tools for conservation and management. They are often used for population status assessments, for threat analyses, and to predict the consequences of conservation actions. Although conservation decisions should be informed by science, critical decisions are often...
Highly pathogenic avian influenza is an emerging disease threat to wild birds in North America
Andrew M. Ramey, Nichola J. Hill, Thomas J. DeLiberto, Samantha E. J. Gibbs, M. Camille Hopkins, Andrew S. Lang, Rebecca L. Poulson, Diann Prosser, Jonathan M. Sleeman, David E. Stallknecht, Xiu-Feng Wan
2022, Journal of Wildlife Management (86)
Prior to the emergence of the A/goose/Guangdong/1/1996 (Gs/GD) H5N1 influenza A virus, the long-held and well-supported paradigm was that highly pathogenic avian influenza (HPAI) outbreaks were restricted to poultry, the result of cross-species transmission of precursor viruses from wild aquatic birds that subsequently gained pathogenicity in...
Long-term ocean observing for international capacity development around tsunami early warning
Danielle F. Sumy, Sara K. McBride, Christa von Hillebrandt-Andrade, Monica D. Kohler, John Orcutt, Shuichi Kodaira, Kate Moran, Daniel McNamara, Takane Hori, Elizabeth Vanacore, Benoit Pirenne, John A. Collins
2022, Oceanography (34) 70-77
The 2004 magnitude (M) 9.1 Sumatra-Andaman Islands earthquake in the Indian Ocean triggered the deadliest tsunami ever, killing more than 230,000 people. In response, the United Nations Educational, Scientific, and Cultural Organization (UNESCO) established three additional Intergovernmental Coordination Groups (ICGs) for the Tsunami and Other Coastal Hazards Early Warning System:...
gTOOLS, an open-source MATLAB program for processing high precision, relative gravity data for time-lapse gravity monitoring
Maurizio Battaglia, Antonina Calahorrano-Di Patre, Ashton F. Flinders
2022, Computers & Geosciences (160)
gTOOLS is an open-source software for the processing of relative gravity data. gTOOLS is available in MATLAB and as a compiled executable to be run under the free MATLAB Runtime Compiler. The software has been designed for time-lapse (temporal) gravity monitoring....
Multi-species amphibian monitoring across a protected landscape: Critical reflections on 15 years of wetland monitoring in Grand Teton and Yellowstone national parks
Andrew M. Ray, Blake R. Hossack, William R. Gould, Debra A. Patla, Stephen Frank Spear, Robert W. Klaver, Paul E Bartelt, David P. Thoma, Kristin L Legg, Rob Daley, Charles R Peterson, P S Corn
2022, Ecological Indicators (135)
Widespread amphibian declines were well documented at the end of the 20th century, raising concerns about the need to identify individual and interactive contributors to this global trend. At the same time, there was growing interest in the use of amphibians...
Weakly supervised spatial deep learning for Earth image segmentation based on imperfect polyline labels
Zhe Jiang, Wenchong He, M. S. Kirby, Arpan Man Sainju, Shaowen Wang, Larry Stanislawski, Ethan J. Shavers, E. Lynn Usery
2022, ACM Transactions on Intelligent Systems and Technology (13)
In recent years, deep learning has achieved tremendous success in image segmentation for computer vision applications. The performance of these models heavily relies on the availability of large-scale high-quality training labels (e.g., PASCAL VOC 2012). Unfortunately, such large-scale high-quality training data are...
Evolution and taxonomy of the Paleogene calcareous nannofossil genus Hornibrookina
Jean Self-Trail, David K. Watkins, James J. Pospichal, Ellen Seefelt
2022, Micropaleontology (68) 85-113
The genus Hornibrookina consists of enigmatic calcareous nannofossils that first appeared shortly after the K-Pg mass extinction. Due to their relative paucity in most published sections, specimens of this genus have not been previously studied in detail and their paleobiogeographic preferences and evolutionary history have been poorly understood. Biostratigraphic and...
An assessment of uncertainties in VS profiles obtained from microtremor observations in the phased 2018 COSMOS blind trials
Michael W. Asten, Alan Yong, Sebastiano Foti, Koichi Hayashi, Antony J. Martin, William J. Stephenson, John F. Cassidy, Jacie Coleman, Robert L. Nigbor, Silvia Castellaro, Kosuke Chimoto, Ikuo Cho, Cecile Cornou, Takumi Hayashida, Manuel Hobiger, Chun-Hsiang Kuo, Albert Macau, E. Diego Mercerat, Sheri Molnar, Passakorn Pananont, Marco Pilz, Nakhorn Poovarodom, Esteban Saez, Marc Wathelet, Hiroaki Yamanaka, Toshiaki Yokoi, Don Zhao
2022, Seismological Research Letters (26) 757-780
Site response is a critical consideration when assessing earthquake hazards. Site characterization is key to understanding site effects as influenced by seismic site conditions of the local geology. Thus, a number of geophysical site characterization methods were developed to meet the demand for accurate and cost-effective...
Impact of spectral resolution on quantifying cyanobacteria in lakes and reservoirs: A machine-learning assessment
Kiana Zolfaghari, Nima Pahlevan, Caren Binding, Daniela Gurlin, Stefan G.H. Simis, Antonio Ruiz Verdu, Lin Li, Christopher J. Crawford, Andrea VanderWoude, Reagan Errera, Arthur Zastepa, Claude R. Duguay
2022, IEEE Transactions in Geoscience and Remote Sensing (60)
Cyanobacterial harmful algal blooms are an increasing threat to coastal and inland waters. These blooms can be detected using optical radiometers due to the presence of phycocyanin (PC) pigments. The spectral resolution of best-available multispectral sensors limits their ability to diagnostically detect PC in the presence of other photosynthetic pigments....
Relational database for horizontal‐to‐vertical spectral ratios
Pengfei Wang, Paolo Zimmaro, Tristan E Buckreis, Tatiana Gospe, Scott J Brandenberg, Sean Kamran Ahdi, Alan Yong, Jonathan P. Stewart
2022, Seismological Research Letters (93) 1075-1088
Frequency‐dependent horizontal‐to‐vertical spectral ratios (HVSRs) of Fourier amplitudes from three‐component recordings can provide useful information for site response modeling. However, such information is not incorporated into most ground‐motion models, including those from Next‐Generation Attenuation projects, which instead use the time‐averaged shear‐wave velocity (VS"><span...
Reconstructing the paleoceanographic and redox conditions responsible for variations in uranium content in North American Devonian black shales
Michelle L. Abshire, Natascha Riedinger, John M. Clymer, Clint Scott, Silke Severmann, Stephen J. Romaniello, James O. Puckette
2022, Palaeogeography, Palaeoclimatology, Palaeoecology (587)
The uranium (U) content, and more recently, the ratio between 238U and 235U in black shales are commonly applied as a proxy to determine redox conditions and infer organic-richness. Uranium contents typically display a linear relationship with total organic carbon (TOC) in shales. This relationship is due to...
Temperatures of the Lacus Mortis region of the Moon
J.-P. Williams, Benjamin T Greenhagen, Kristen A. Bennett, David Paige, Nandita Kumari, Caitlin Ahrens, Lior Rubanenko, Tyler Powell, Parvathy Prem, David T. Blewett, Patrick Russell, Paul O. Hayne, Mark Sullivan
2022, Earth and Space Science (9)
Over 11 years of data acquired by the Diviner Lunar Radiometer Experiment instrument aboard Lunar Reconnaissance Orbiter have been compiled into a comprehensive data set of surface temperatures in the Lacus Mortis region which includes the landing ellipse of the Astrobotic Mission One lander mission. These data provide diurnal brightness temperatures...
Phytoplankton community interactions and cyanotoxin mixtures in three recurring surface blooms within one lake
Victoria Christensen, Hayley T. Olds, Jack E. Norland, Eakalak Khan
2022, Journal of Hazardous Materials (427)
Cyanobacteria can produce numerous secondary metabolites (cyanotoxins) with various toxicities, yet data on cyanotoxins in many lakes are limited. Moreover, little research is available on complex relations among cyanobacteria that produce toxins. Therefore, we studied cyanobacteria and 19 cyanotoxins at three sites with recurring blooms in Kabetogama Lake (USA). Seven of 19...
Relationship of trout growth to frequent electrofishing and diet collection in a headwater stream
Niall G. Clancy, James L. Dunnigan, Phaedra E. Budy
2022, North American Journal of Fisheries Management (42) 109-114
Research on fishes sometimes requires that individual fish be captured and subjected to invasive procedures multiple times over a relatively short time span. Electrofishing is one of the most common techniques used to capture fish, and it is known to cause injury to fish under certain circumstances. We evaluated the...
Automated detection of clipping in broadband earthquake records
James Kael Kleckner, Kyle Withers, Eric M. Thompson, J.M. Rekoske, Emily Wolin, Morgan P. Moschetti
2022, Seismological Research Letters (93) 880-896
Because the amount of available ground‐motion data has increased over the last decades, the need for automated processing algorithms has also increased. One difficulty with automated processing is to screen clipped records. Clipping occurs when the ground‐motion amplitude exceeds the dynamic range of the linear...
Marine paleoseismic evidence for seismic and aseismic slip along the Hayward-Rodgers Creek fault system in northern San Pablo Bay
Janet Watt, Mary McGann, Renee K. Takesue, Thomas Lorenson
2022, Geochemistry, Geophysics, Geosystems (23)
Distinguishing between seismic and aseismic fault slip in the geologic record is difficult, yet fundamental to estimating the seismic potential of faults and the likelihood of multi-fault ruptures. We integrated chirp sub-bottom imaging with targeted cross-fault coring and core analyses of sedimentary proxy data to characterize...
Using fish community and population indicators to assess the biological condition of streams and rivers of the Chesapeake Bay watershed, USA
Kelly O. Maloney, Kevin P. Krause, Matthew J. Cashman, Wesley M. Daniel, Benjamin P. Gressler, Daniel J. Wieferich, John A. Young
2022, Ecological Indicators (134)
The development of indicators to assess relative freshwater condition is critical for management and conservation. Predictive modeling can enhance the utility of indicators by providing estimates of condition for unsurveyed locations. Such approaches grant understanding of where “good” and “poor” conditions occur and provide insight into landscape contexts supporting such conditions....
Translational science education through citizen science
Allison M. Young, Elizabeth F. van Mantgem, Alexis Garretson, Christine Noel, Toni Lyn Morelli
2022, Frontiers in Environmental Science (9)
Guided by the six elements of Translational Ecology (TE; i.e., decision-framing, collaboration, engagement, commitment, process, and communication), we showcase the first explicit example of a Translational Science Education (TSE) effort in the coastal redwood ecosystem of Humboldt County, CA. Using iNaturalist, a flexible and free citizen science/crowdsourcing app, we worked...
Parameterizing an aeolian erosion model for rangelands
Brandon L. Edwards, Nicholas P. Webb, Magda Galloza, Justin W. Van Zee, Ericha M. Courtright, Bradley F. Cooper, Loretta J Metz, Jeffrey E. Herrick, Gregory S Okin, Michael C. Duniway, John Tatarko, Negussie Tedala, Daniel N Moriasi, Beth A. Newingham, Frederick B Pierson, David Toledo, Scott Van Pelt
2022, Aeolian Research (54)
Aeolian processes are fundamental to arid and semi-arid ecosystems, but modeling approaches are poorly developed for assessing impacts of management and environmental change on sediment transport rates over meaningful spatial and temporal scales. For model estimates to provide value, estimates of sediment flux that...
Beyond bulk: Density fractions explain heterogeneity in global soil carbon abundance and persistence
Katherine Heckman, Caitlin E. Hicks Pries, Corey Lawrence, Craig Rasmussen, Susan E. Crow, Alison M. Hoyt, Sophie F. von Fromm, Zheng Shi, Shane Stoner, Casey McGrath, Jeffery Beem-Miller, Asmeret Asefaw Berhe, Joseph C. Blankinship, Marco Keiluweit, Erika Marín-Spiotta, J. Grey Monroe, Alain F. Plante, Joshua Schimel, Carlos A. Sierra, Aaron Thompson, Rota Wagai
2022, Global Change Biology (28) 1178-1196
Understanding the controls on the amount and persistence of soil organic carbon (C) is essential for predicting its sensitivity to global change. The response may depend on whether C is unprotected, isolated within aggregates, or protected from decomposition by mineral associations. Here, we present a global...
Geostatistical mapping of salinity conditioned on borehole logs, Montebello Oil Field, California
Neil 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...
