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Carbon dioxide toxicity to zebra mussels (Dreissena polymorpha) is dependent on water chemistry Carbon dioxide toxicity to zebra mussels (Dreissena polymorpha) is dependent on water chemistry
Carbon dioxide (CO2) is gaining interest as a tool to combat aquatic invasive species, including zebra mussels (Dreissena polymorpha). However, the effects of water chemistry on CO2 efficacy are not well described. We conducted five trials in which we exposed adult zebra mussels to a range of CO2 in water with adjusted total hardness and specific conductance. We compared dose–responses...
Authors
Matthew T. Barbour, Matthew Meulemans, Todd J. Severson, Jeremy K. Wise, Diane L. Waller
Variability in coastal habitat available for Longfin Smelt Spirinchus thaleichthys in the northeastern Pacific Ocean Variability in coastal habitat available for Longfin Smelt Spirinchus thaleichthys in the northeastern Pacific Ocean
An understanding of oceanographic conditions and processes important to marine animal ecology is fundamental to the development of effective management and conservation actions. Longfin Smelt (Spirinchus thaleichthys) is a pelagic forage fish found in coastal and estuarine waters along the Pacific coast of North America from Alaska to central California. Substantial population declines...
Authors
Matthew J. Young, Frederick V. Feyrer, Steven T Lindley, David D. Huff
Deep learning of estuary salinity dynamics is physically accurate at a fraction of hydrodynamic model computational cost Deep learning of estuary salinity dynamics is physically accurate at a fraction of hydrodynamic model computational cost
Salinity dynamics in the Delaware Bay estuary are a critical water quality concern as elevated salinity can damage infrastructure and threaten drinking water supplies. Current state-of-the-art modeling approaches use hydrodynamic models, which can produce accurate results but are limited by significant computational costs. We developed a machine learning (ML) model to predict the 250 mg...
Authors
Galen Gorski, Salme Ellen Cook, Amelia Marie Snyder, Alison P. Appling, Theodore Paul Thompson, Jared David Smith, John C. Warner, Simon Nemer Topp
Groundwater and surface-water interactions in the He‘eia watershed, O‘ahu, Hawai‘i—Insights from analysis of historical data and numerical groundwater-model simulations Groundwater and surface-water interactions in the He‘eia watershed, O‘ahu, Hawai‘i—Insights from analysis of historical data and numerical groundwater-model simulations
He‘eia and ‘Ioleka‘a Streams in the He‘eia watershed on O‘ahu, Hawai‘i, receive substantial discharge from dike-impounded groundwater. Previous studies indicated that groundwater withdrawals from the watershed affect streamflow. Resource managers and users seek information that can be used to balance the needs of competing uses of groundwater and streamflow in the watershed. In this...
Authors
Scot K. Izuka, Heidi L. Kane, Kolja Rotzoll
Existing evidence on the effects of climate variability and climate change on ungulates in North America: A systematic map Existing evidence on the effects of climate variability and climate change on ungulates in North America: A systematic map
Background Climate is an important driver of ungulate life-histories, population dynamics, and migratory behaviors. Climate conditions can directly impact ungulates via changes in the costs of thermoregulation and locomotion, or indirectly, via changes in habitat and forage availability, predation, and species interactions. Many studies have documented the effects of climate variability...
Authors
Kate Malpeli, Sarah C. Endyke, Sarah R. Weiskopf, Laura Thompson, Ciara G. Johnson, Katherine Anne Kurth, Maxfield A. Carlin
Mule deer (Odocoileus hemionus) resource selection: Trade-offs between forage and predation risk Mule deer (Odocoileus hemionus) resource selection: Trade-offs between forage and predation risk
Ungulates commonly select habitat with higher forage biomass and or nutritional quality to improve body condition and fitness. However, predation risk can alter ungulate habitat selection and foraging behavior and may affect their nutritional condition. Ungulates often choose areas with lower predation risk, sometimes sacrificing higher quality forage. This forage–predation risk trade...
Authors
James W. Cain, Jacob H. Kay, Stewart G. Liley, Jay V. Gedir
Evaluating the potential for efficient, UAS-based reach-scale mapping of river channel bathymetry from multispectral images Evaluating the potential for efficient, UAS-based reach-scale mapping of river channel bathymetry from multispectral images
Introduction: Information on spatial patterns of water depth in river channels is valuable for numerous applications, but such data can be difficult to obtain via traditional field methods. Ongoing developments in remote sensing technology have enabled various image-based approaches for mapping river bathymetry; this study evaluated the potential to retrieve depth from multispectral...
Authors
Carl J. Legleiter, Lee R. Harrison
Apparent non-double-couple components as artifacts of moment tensor inversion Apparent non-double-couple components as artifacts of moment tensor inversion
Compilations of earthquake moment tensors from global and regional catalogs find pervasive non-double-couple (NDC) components with a mean deviation from a double-couple (DC) source of around 20%. Their distributions vary only slightly with magnitude, faulting mechanism, or geologic environments. This consistency suggests that for most earthquakes, especially smaller ones whose rupture...
Authors
Boris Rosler, Seth Stein, Adam T. Ringler, Jiri Vackar
Preliminary implications of viscoelastic ray theory for anelastic seismic tomography models Preliminary implications of viscoelastic ray theory for anelastic seismic tomography models
The recent developments in general viscoelastic ray theory provide a rigorous mathematical framework for anelastic seismic tomography. They provide closed‐form solutions of forward ray‐tracing and simple inverse problems for anelastic horizontal and spherical layered media with material gradients. They provide ray‐tracing computation algorithms valid for all angles of incidence that...
Authors
Roger D. Borcherdt
Groundwater hydrology, groundwater and surface-water interactions, aquifer testing, and groundwater-flow simulations for the Fountain Creek alluvial aquifer, near Colorado Springs, Colorado, 2018–20 Groundwater hydrology, groundwater and surface-water interactions, aquifer testing, and groundwater-flow simulations for the Fountain Creek alluvial aquifer, near Colorado Springs, Colorado, 2018–20
From 2018 through 2020, the U.S. Geological Survey, in cooperation with the Air Force Civil Engineering Center, conducted an integrated study of the Fountain Creek alluvial aquifer located near Colorado Springs, Colorado. The objective of the study was to characterize hydrologic conditions for the alluvial aquifer pertinent to the potential for transport of solutes. Specific goals of...
Authors
Connor P. Newman, Cory A. Russell, Zachary D. Kisfalusi, Suzanne S. Paschke
Estimation and comparison of 1-percent annual exceedance probability flood flows at Federal Emergency Management Agency flood insurance study flow locations across Pennsylvania Estimation and comparison of 1-percent annual exceedance probability flood flows at Federal Emergency Management Agency flood insurance study flow locations across Pennsylvania
Flood-flow estimates were computed at over 5,000 Federal Emergency Management Agency (FEMA) flood insurance study (FIS) flow locations across Pennsylvania for the 1-percent annual exceedance probability flood event (1-percent AEP). Depending on a point of interest’s proximity to a streamgage, weighting techniques may be applied to obtain flood-flow estimates for ungaged flow locations...
Authors
Mitchell R. Weaver, Marla H. Stuckey, James E. Colgin, Mark A. Roland
Classification of lakebed geologic substrate in autonomously collected benthic imagery using machine learning Classification of lakebed geologic substrate in autonomously collected benthic imagery using machine learning
Mapping benthic habitats with bathymetric, acoustic, and spectral data requires georeferenced ground-truth information about habitat types and characteristics. New technologies like autonomous underwater vehicles (AUVs) collect tens of thousands of images per mission making image-based ground truthing particularly attractive. Two types of machine learning (ML) models, random forest (RF)...
Authors
Joseph K. Geisz, Phillipe Alan Wernette, Peter C. Esselman