Tools to evaluate reservoir thermal energy storage (RTES; heat storage in slow-moving or stagnant geochemically evolved permeable zones in strata that underlie well-connected regional aquifers) are developed and applied to the Columbia River Basalt Group (CRBG) beneath the Portland Basin, Oregon, USA. The performance of RTES for heat storage and recovery in the Portland Basin is strongly dependent on the operational schedule of heat injection and extraction. We examined the effects of the operational schedule, based on an annual solar hot water supply pattern and a building heating demand model, using heat and fluid flow simulations with SUTRA. We show RTES to be feasible for supply of heating energy for a large combined research/teaching building on the Oregon Health and Science University South Waterfront expansion, an area of planned future development. Initially, heat is consumed to increase the reservoir temperature, and conductive heat loss is high due to high temperature gradients between the reservoir and surrounding rock. Conductive heat loss continues into the future, but the rate of heat loss decreases, and heat recovery efficiency of the RTES system increases over time. Simulations demonstrate the effects of varying heat-delivery rate and temperature on the heat production history of the reservoir. If 100% of building heating needs are to be supplied by combined solar/RTES, then the solar system must be sized to meet building needs plus long-term thermal losses (i.e., conductive losses once the system is heated to pseudo-steady state) from the RTES system. If the solar heating system barely meets these criteria, then during early years, less than 100% of the building demand will be supplied until the reservoir is fully-heated. The duration of supplying less than 100% of building demand can be greatly shortened by pre-heating the reservoir before building heating operations or by adding extra heat from external sources during early years. Analytic solutions are developed to evaluate efficacy and to help design RTES systems (e.g., well-spacing, thermal source sizing, etc.). A map of thermal energy storage capacity is produced for the CRBG beneath the Portland Basin. The simulated building has an annual heat load of ∼1.9 GWh, and the total annual storage capacity of the Portland Basin is estimated to be 43,400 GWh assuming seasonal storage of heat yields water from which 10 °C can be extracted via heat exchange, indicating a tremendous heating capacity of the CRBG.
Bar-built coastal lagoons are dynamic ecosystems at the land-sea interface that are important habitats for a variety of species. This study examined the habitat ecology of two lagoon species, the endangered Tidewater Goby (Eucyclogobius newberryi) and the Prickly Sculpin (Cottus asper) by reconstructing individual life histories from patterns in the concentration of the element Sr (as ratioed to Ca; Sr:Ca) in otoliths. Specific objectives were to (1) elucidate any movements of individual fishes among three primary habitat components of typical bar-built lagoon systems: coastal ocean, brackish lagoon, and freshwater watershed streams, and (2) determine if either species exhibited a consistent life history as defined by a stereotypical otolith Sr:Ca chronology, which could be indicative of a consistent range of salinity or temperature occupied through ontogeny. Results suggested that Tidewater Goby was a lagoon resident and that Prickly Sculpin exhibited migrations between lagoon and watershed stream habitats. There was no strong evidence in either species of ocean occupancy or of a stereotypical Sr:Ca chronology, the latter suggesting the full range of available lagoon habitat in terms of salinity and temperature was likely utilized at all life stages. These findings add to the body of evidence that bar-built lagoons are not isolated habitats, and holistic management of these habitats with adjoining watershed and marine environments could increase habitat connectivity across the landscape, with potential benefits to fishes.
High-latitude fish typically exhibit a narrow thermal tolerance window, which may pose challenges when coping with temperatures that shift outside of a species’ range of tolerance. Due to its role in aerobic metabolism and energy balance, the mitochondrial genome is likely critical for the acclimation and adaptation to differing temperature regimes in marine ectotherms. As oceans continue to warm, there is growing need to understand the ability of organisms to respond to changing environmental conditions given evidence that some species, in particular cold-water species, may already be experiencing difficulties. To assess how Arctic gadids in Alaska have responded to differential thermal preferences in the past and how regions are interconnected, we sequenced complete mitochondrial genomes for four Arctic gadids to determine the distribution of mitochondrial diversity and population-level structure as well as to detect signatures of selection acting on the mitochondrial genome. We found little population-level structure within all four species with the clear exception of Gulf of Alaska saffron cod (Eleginus gracilis). Northern localities exhibited higher levels of genetic diversity and primarily northern lineages were observed within polar cod (Boreogadus saida) and saffron cod, likely reflecting asymmetrical dispersal and potentially admixture of distinct lineages via ocean currents. The main evolutionary force shaping the evolution of the mitogenome appears to be purifying selection, but we also identified potential positive selection of candidate amino acid replacements primarily in complex I (ND genes) in polar cod. The high levels of mitochondrial diversity observed in our study and large population size may provide this species with the ability to respond evolutionarily (i.e. long-term) to a changing environment.
The U.S. Fish and Wildlife Service listed Anaxyrus canorus, the Yosemite toad, as federally threatened in 2014 based upon reported population declines and vulnerability to global-change factors. A. canorus lives only in California’s central Sierra Nevada at medium to sub-alpine elevations. Lands throughout its range are protected from development, but climate and other global-change factors potentially can limit populations. A. canorus reproduces in ultra-shallow wetlands that typically hydrate seasonally via melting of the winter snowpack. Lesser snowpacks in drier years can render wetland water volumes and hydroperiods insufficient to allow for successful breeding and reproduction. Additionally, breeding and embryogenesis occur very soon after wetlands thaw when overnight temperatures can be below freezing. Diseases, such as chytridiomycosis, which recently decimated regional populations of ranid species, also might cause declines of A. canorus populations. However, reported studies focused on whether climate interacts with any pathogens to affect fitness in A. canorus have been scarce. We investigated effects of these factors on A. canorus near Tioga Pass from 1996 to 2001. We found breeding subpopulations were distributed widely but inconsistently among potentially suitable wetlands and frequently consisted of small numbers of adults. We occasionally observed small but not alarming numbers of dead adults at breeding sites. In contrast, embryo mortality often was notably high, with the majority of embryos dead in some egg masses while mortality among coincidental Pseudacris regilla (Pacific treefrog) embryos in deeper water was lower. After sampling and experimentation, we concluded that freezing killed A. canorus embryos, especially near the tops of egg masses, which enabled Saprolegnia diclina (a water mold [Oomycota]) to infect and then spread through egg masses and kill more embryos, often in conjunction with predatory flatworms (Turbellaria spp.). We also concluded exposure to ultraviolet-B radiation did not play a role. Based upon our assessments of daily minimum temperatures recorded around snow-off during years before and after our field study, the freezing potential we observed at field sites during embryogenesis might have been commonplace beyond the years of our field study. However, interactions among snow quantity, the timing of snow-off, and coincidental air temperatures that determine such freezing potential make projections of future conditions highly uncertain, despite overall warming trends. Our results describe important effects from ongoing threats to the fitness and abundance of A. canorus via reduced reproduction success and demonstrate how climate conditions can exacerbate effects from pathogens to threaten the persistence of amphibian populations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2020.e01173","usgsCitation":"Sadinski, W., Gallant, A., and Cleaver, J.E., 2020, Climate’s cascading effects on disease, predation, and hatching success in Anaxyrus canorus, the threatened Yosemite toad: Global Ecology and Conservation, v. 23, e01173, 26 p., https://doi.org/10.1016/j.gecco.2020.e01173.","productDescription":"e01173, 26 p.","ipdsId":"IP-108337","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":456248,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2020.e01173","text":"Publisher Index Page"},{"id":436912,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BVZDOP","text":"USGS data release","linkHelpText":"Yosemite Toad (Anaxyrus canorus) project datasets; climate, disease, predation, and hatching success"},{"id":377725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Tioga Pass, Yosemite National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.388427734375,\n 37.82931081282506\n ],\n [\n -119.11651611328124,\n 37.82931081282506\n ],\n [\n -119.11651611328124,\n 38.05025395161289\n ],\n [\n -119.388427734375,\n 38.05025395161289\n ],\n [\n -119.388427734375,\n 37.82931081282506\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"23","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sadinski, Walter 0000-0003-0839-8685 wsadinski@usgs.gov","orcid":"https://orcid.org/0000-0003-0839-8685","contributorId":203373,"corporation":false,"usgs":true,"family":"Sadinski","given":"Walter","email":"wsadinski@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":796892,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallant, Alisa L. 0000-0002-3029-6637","orcid":"https://orcid.org/0000-0002-3029-6637","contributorId":238922,"corporation":false,"usgs":false,"family":"Gallant","given":"Alisa L.","affiliations":[{"id":47820,"text":"Former USGS-EROS employee, retired","active":true,"usgs":false}],"preferred":false,"id":796893,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cleaver, James E.","contributorId":238923,"corporation":false,"usgs":false,"family":"Cleaver","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":47822,"text":"University of California, San Francisco","active":true,"usgs":false}],"preferred":false,"id":796894,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70210995,"text":"70210995 - 2020 - Critical evaluation of stable isotope mixing end-members for estimating groundwater recharge sources: Case study from the South Rim of the Grand Canyon, Arizona, USA","interactions":[],"lastModifiedDate":"2020-08-05T13:35:17.005891","indexId":"70210995","displayToPublicDate":"2020-06-26T08:37:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Critical evaluation of stable isotope mixing end-members for estimating groundwater recharge sources: Case study from the South Rim of the Grand Canyon, Arizona, USA","docAbstract":"Springs and groundwater seeps along the South Rim of the Grand Canyon serve an important function for the region’s ecosystems, residents (both human and wild animal), and economy. However, these springs and seeps are potentially vulnerable to contamination, increased groundwater extraction, or reduced recharge due to climate change. Protection of South Rim groundwater resources requires improved understanding of the regional groundwater system. In this study, statistical methods are used to investigate δ2H and δ18O in precipitation, surface water, and groundwater. A mixing model for δ18O is developed using statistically distinct seasonal end-members represented by modeled winter (Nov-Apr.) precipitation and summer (May-Oct.) surface water run-off. The calculated fraction of winter recharge (Fwin) indicates that South Rim groundwater is primarily sourced from snow-melt and winter rains with an average Fwin of 0.97 ± 0.09. Groundwater sourced from the highest elevations of the study area are more depleted than the winter end-member suggesting values of Fwin are overestimated or a meaningful portion of recharge occurs at lower elevations. Lower elevation recharge from the Coconino Plateau is supported by consistent spatial trends in δ2H and δ18O with respect to longitude, Fwin values less than 0.9 for 9 of the 50 samples, and age tracer data indicating young groundwater discharging from springs which is distinct from old groundwater observed in the regional flow system. These results suggest a new conceptual model is needed to account for recharge sources from low elevation and summer precipitation. Results imply resource managers need to reconsider current land-use and water management practices on the South Rim to protect future water quantity and quality.","language":"English","publisher":"Springer","doi":"10.1007/s10040-020-02194-y","usgsCitation":"Solder, J.E., and Beisner, K.R., 2020, Critical evaluation of stable isotope mixing end-members for estimating groundwater recharge sources: Case study from the South Rim of the Grand Canyon, Arizona, USA: Hydrogeology Journal, v. 28, p. 1575-1591, https://doi.org/10.1007/s10040-020-02194-y.","productDescription":"17 p.","startPage":"1575","endPage":"1591","ipdsId":"IP-110272","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":456249,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-020-02194-y","text":"Publisher Index Page"},{"id":436913,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9G7INFB","text":"USGS data release","linkHelpText":"Stable isotopic ratios of hydrogen and oxygen in groundwater and calculated fraction of recharge from winter precipitation, South Rim Grand Canyon, Arizona"},{"id":376253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"South Rim of the Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.4835205078125,\n 35.7019167328534\n ],\n [\n -111.65679931640625,\n 35.7019167328534\n ],\n [\n -111.65679931640625,\n 36.18000806322456\n ],\n [\n -112.4835205078125,\n 36.18000806322456\n ],\n [\n -112.4835205078125,\n 35.7019167328534\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","noUsgsAuthors":false,"publicationDate":"2020-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Solder, John E. 0000-0002-0660-3326","orcid":"https://orcid.org/0000-0002-0660-3326","contributorId":201953,"corporation":false,"usgs":true,"family":"Solder","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":792368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beisner, Kimberly R. 0000-0002-2077-6899 kbeisner@usgs.gov","orcid":"https://orcid.org/0000-0002-2077-6899","contributorId":2733,"corporation":false,"usgs":true,"family":"Beisner","given":"Kimberly","email":"kbeisner@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":792369,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70210819,"text":"70210819 - 2020 - Reduction in drinking water arsenic exposure and health risk through arsenic treatment among private well households in Maine and New Jersey, USA","interactions":[],"lastModifiedDate":"2020-06-29T14:20:33.668359","indexId":"70210819","displayToPublicDate":"2020-06-26T08:24:03","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Reduction in drinking water arsenic exposure and health risk through arsenic treatment among private well households in Maine and New Jersey, USA","docAbstract":"Over 2 million people in the United States (U.S.) drink water from private wells that contain arsenic (As) exceeding the U.S. Environmental Protection Agency (USEPA) Maximum Contaminant Level (MCL) of 10 micrograms per liter (μg/L). While there are a number of commercially available treatment technologies for removing As from drinking water, it is up to the private well households to decide whether to treat for As or not. However, how well existing treatment technologies perform in real world situations, and to what extent they reduce health risks, are not well understood. This study evaluates the effectiveness of household As treatment systems in southern-central Maine (ME, n=156) and northern New Jersey (NJ, n=94) and ascertains how untreated well water chemistry and other factors influence As removal. Untreated and treated water samples, as well as a treatment questionnaire, were collected. Most ME households in this study had point-of-use reverse-osmosis systems (POU RO), while in NJ, dual-tank point-of-entry (POE) whole house systems were popular. Arsenic treatment systems reduced well water arsenic concentrations ([As]) by up to two orders of magnitude, i.e. from a median of 71.7 to 0.8 μg/L and from a mean of 105 to 14.3 μg/L in ME, and from a median of 8.6 to 0.2 μg/L and a mean of 15.8 to 2.1 μg/L in NJ. More than half (53%) of the systems in ME reduced water [As] to below 1 µg/L, compared to 69% in NJ. The treatment system failure rates were 19% in ME (> USEPA MCL 10 µg/L) and 16% in NJ (> NJ standard 5 μg/L). In both states, the higher the untreated well water [As] and the As(III)/As ratio, the higher the rate of treatment failure. POE systems failed less than POU systems, as did the treatment systems installed and maintained by vendors than those by homeowners. The 7-fold reduction of [As] in the treated water reduced skin cancer risk alone from 3,765 to 514 in 1 million in ME, and from 568 to 75 in 1 million in NJ.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.139683","usgsCitation":"Yang, Q., Flanagan, S.V., Chillrud, S., Ross, J., Zeng, W., Culbertson, C., Spayd, S., Backer, L.C., Smith, A.E., and Zheng, Y., 2020, Reduction in drinking water arsenic exposure and health risk through arsenic treatment among private well households in Maine and New Jersey, USA: Science of the Total Environment, v. 738, no. 10, 139683, 9 p., https://doi.org/10.1016/j.scitotenv.2020.139683.","productDescription":"139683, 9 p.","ipdsId":"IP-118136","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":456259,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7429269","text":"External 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Steven","contributorId":225548,"corporation":false,"usgs":false,"family":"Chillrud","given":"Steven","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":791571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ross, James","contributorId":225549,"corporation":false,"usgs":false,"family":"Ross","given":"James","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":791572,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zeng, Wenke","contributorId":225550,"corporation":false,"usgs":false,"family":"Zeng","given":"Wenke","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":791573,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Culbertson, Charles W. 0000-0002-7875-7981 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(CDC)","active":true,"usgs":false}],"preferred":true,"id":791576,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, Andrew E.","contributorId":224987,"corporation":false,"usgs":false,"family":"Smith","given":"Andrew","email":"","middleInitial":"E.","affiliations":[],"preferred":true,"id":791577,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zheng, Yan","contributorId":99046,"corporation":false,"usgs":false,"family":"Zheng","given":"Yan","email":"","affiliations":[{"id":7255,"text":"City University of New York, Queens College","active":true,"usgs":false}],"preferred":false,"id":791578,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70211026,"text":"70211026 - 2020 - Accurate bathymetric maps from underwater digital imagery without ground control","interactions":[],"lastModifiedDate":"2020-07-10T13:06:24.414755","indexId":"70211026","displayToPublicDate":"2020-06-26T08:03:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Accurate bathymetric maps from underwater digital imagery without ground control","docAbstract":"Structure-from-Motion (SfM) photogrammetry can be used with digital underwater photographs to generate high-resolution bathymetry and orthomosaics with millimeter-to-centimeter scale resolution at relatively low cost. Although these products are useful for assessing species diversity and health, they have additional utility for quantifying benthic community structure, such as coral growth and fine-scale elevation change over time, if accurate length scales and georeferencing are included. This georeferencing is commonly provided with “ground control,” such as pre-installed seafloor benchmarks or identifiable “static” features, which can be difficult and time consuming to install, survey, and maintain. To address these challenges, we developed the SfM Quantitative Underwater Imaging Device with Five Cameras (SQUID-5), a towed surface vehicle with an onboard survey-grade Global Navigation Satellite System (GNSS) and five rigidly mounted downward-looking cameras with overlapping views of the seafloor. The cameras are tightly synchronized with both the GNSS and each other to collect quintet photo sets and record the precise location of every collection event. The system was field tested in July 2019 in the U.S. Florida Keys, in water depths ranging from 3 to 9 m over a variety of bottom types. Surveying accuracy was assessed using pre-installed stations with known coordinates, machined scale bars, and two independent surveys of a site to evaluate repeatability. Under a range of sea conditions, ambient lighting, and water clarity, we were able to map living and senile coral reef habitats and sand waves at mm-scale resolution. Data were processed using best practice SfM techniques without ground control and local measurement errors of horizontal and vertical scales were consistently sub-millimeter, equivalent to 0.013% RMSE relative to water depth. Survey-to-survey repeatability RMSE was on the order of 3 cm without georeferencing but could be improved to several millimeters with the incorporation of one or more non-surveyed marker points. We demonstrate that the SQUID-5 platform can map complex coral reef and other seafloor habitats and measure mm-to-cm scale changes in the morphology and location of seafloor features over time without pre-existing ground control.","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2020.00525","usgsCitation":"Hatcher, G.A., Warrick, J.A., Ritchie, A.C., Dailey, E.T., Zawada, D., Kranenburg, C.J., and Yates, K.K., 2020, Accurate bathymetric maps from underwater digital imagery without ground control: Frontiers in Marine Science, v. 7, 525, 20 p., https://doi.org/10.3389/fmars.2020.00525.","productDescription":"525, 20 p.","ipdsId":"IP-117107","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":456262,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index 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24.657002173279082\n ],\n [\n -80.277099609375,\n 24.95119964792312\n ],\n [\n -80.18920898437499,\n 25.35891851754525\n ],\n [\n -80.343017578125,\n 25.37877231509496\n ],\n [\n -80.7550048828125,\n 25.085598897064752\n ],\n [\n -81.2713623046875,\n 24.84656534821976\n ],\n [\n -81.91955566406249,\n 24.696934226366672\n ],\n [\n -81.97998046875,\n 24.44714958973082\n ],\n [\n -81.771240234375,\n 24.43714786161562\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","noUsgsAuthors":false,"publicationDate":"2020-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Hatcher, Gerry A. 0000-0001-7705-1509 ghatcher@usgs.gov","orcid":"https://orcid.org/0000-0001-7705-1509","contributorId":208239,"corporation":false,"usgs":true,"family":"Hatcher","given":"Gerry","email":"ghatcher@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":792468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":792469,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ritchie, Andrew C. aritchie@usgs.gov","contributorId":4984,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew","email":"aritchie@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":792470,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dailey, Evan T. 0000-0002-4382-3870 edailey@usgs.gov","orcid":"https://orcid.org/0000-0002-4382-3870","contributorId":195607,"corporation":false,"usgs":true,"family":"Dailey","given":"Evan","email":"edailey@usgs.gov","middleInitial":"T.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":792471,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zawada, David G. 0000-0003-4547-4878 dzawada@usgs.gov","orcid":"https://orcid.org/0000-0003-4547-4878","contributorId":1898,"corporation":false,"usgs":true,"family":"Zawada","given":"David G.","email":"dzawada@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":792472,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kranenburg, Christine J. 0000-0002-2955-0167 ckranenburg@usgs.gov","orcid":"https://orcid.org/0000-0002-2955-0167","contributorId":169234,"corporation":false,"usgs":true,"family":"Kranenburg","given":"Christine","email":"ckranenburg@usgs.gov","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":792473,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yates, Kimberly K. 0000-0001-8764-0358","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":214349,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","email":"","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":792474,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70238863,"text":"70238863 - 2020 - Carbon dioxide-induced mortality of four species of North American fishes","interactions":[],"lastModifiedDate":"2022-12-14T13:21:47.751686","indexId":"70238863","displayToPublicDate":"2020-06-26T07:18:03","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Carbon dioxide-induced mortality of four species of North American fishes","docAbstract":"Fisheries managers have a growing interest in the use of carbon dioxide (CO2) as a tool for controlling invasive fishes. However, limited published data exist on susceptibility of many commonly encountered species to elevated CO2 concentrations. Our objective was to estimate the 24-h 50% lethal concentration (LC50) and 95% lethal concentration (LC95) of CO2 for four fishes (Rainbow Trout Oncorhynchus mykiss, Common Carp Cyprinus carpio, Channel Catfish Ictalurus punctatus, and Westslope Cutthroat Trout Oncorhynchus clarkii lewisi). In the laboratory, we exposed juvenile fish to a range of CO2 concentrations for 24 h in unpressurized, flow-through tanks. We developed a Bayesian hierarchical model to estimate the dose-response relationship for each fish species with associated uncertainty, and estimated 24-h LC50 and LC95 values based on laboratory trials for each species. The minimum concentration inducing mortality differed among cold water–adapted species and warm water–adapted species groups: 150 mg CO2/L for Westslope Cutthroat Trout and Rainbow Trout and 225 mg CO2/L for Common Carp and Channel Catfish. We observed complete mortality at 275 mg CO2/L (38,672 microatmospheres [μatm]), 225 mg CO2/L (30,711 μatm), and 495 mg CO2/L (65,708 μatm [Common Carp]; 77,213 μatm [Channel Catfish]) for Westslope Cutthroat Trout, Rainbow Trout, and both Common Carp and Channel Catfish, respectively. There was evidence of a statistical difference between the 24-h LC95 values of Westslope Cutthroat Trout and Rainbow Trout (245.0 [222.2–272.2] and 190.6 [177.2–207.8] mg CO2/L, respectively). Additionally, these values were almost half the estimated 24-h LC95 values for Common Carp and Channel Catfish (422.5 [374.7–474.5] and 434.2 [377.2–492.2] mg CO2/L, respectively). Although the experimental findings show strong relationships between increased CO2 concentration and higher mortality, additional work is required to assess the efficacy and feasibility of a CO2 application in a field setting.
Polycyclic aromatic hydrocarbons (PAHs) are among the most widespread and potentially toxic contaminants in Great Lakes (USA/Canada) tributaries. The sources of PAHs are numerous and diverse, and identifying the primary source(s) can be difficult. The present study used multiple lines of evidence to determine the likely sources of PAHs to surficial streambed sediments at 71 locations across 26 Great Lakes Basin watersheds. Profile correlations, principal component analysis, positive matrix factorization source‐receptor modeling, and mass fractions analysis were used to identify potential PAH sources, and land‐use analysis was used to relate streambed sediment PAH concentrations to different land uses. Based on the common conclusion of these analyses, coal‐tar–sealed pavement was the most likely source of PAHs to the majority of the locations sampled. The potential PAH‐related toxicity of streambed sediments to aquatic organisms was assessed by comparison of concentrations with sediment quality guidelines. The sum concentration of 16 US Environmental Protection Agency priority pollutant PAHs was 7.4–196 000 µg/kg, and the median was 2600 µg/kg. The threshold effect concentration was exceeded at 62% of sampling locations, and the probable effect concentration or the equilibrium partitioning sediment benchmark was exceeded at 41% of sampling locations. These results have important implications for watershed managers tasked with protecting and remediating aquatic habitats in the Great Lakes Basin.
","language":"English","publisher":"Wiley","doi":"10.1002/etc.4727","usgsCitation":"Baldwin, A.K., Corsi, S., Oliver, S.K., Lenaker, P.L., Nott, M.A., Mills, M.A., Norris, G.A., and Paatero, P., 2020, Primary sources of polycyclic aromatic hydrocarbons to streambed sediment in Great Lakes tributaries using multiple lines of evidence: Environmental Toxicology and Chemistry, v. 39, no. 7, p. 1392-1408, https://doi.org/10.1002/etc.4727.","productDescription":"17 p.","startPage":"1392","endPage":"1408","numberOfPages":"17","ipdsId":"IP-106377","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":456268,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.4727","text":"Publisher Index Page"},{"id":376159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana, Michigan, Minnesota, New York, Ohio, Wisconsin","otherGeospatial":"Great Lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.74658203125,\n 40.48038142908172\n ],\n [\n -75.1025390625,\n 40.48038142908172\n ],\n [\n -75.1025390625,\n 47.989921667414194\n ],\n [\n -92.74658203125,\n 47.989921667414194\n ],\n [\n -92.74658203125,\n 40.48038142908172\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Baldwin, Austin K. 0000-0002-6027-3823 akbaldwi@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3823","contributorId":4515,"corporation":false,"usgs":true,"family":"Baldwin","given":"Austin","email":"akbaldwi@usgs.gov","middleInitial":"K.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":792257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corsi, Steven R. 0000-0003-0583-5536 srcorsi@usgs.gov","orcid":"https://orcid.org/0000-0003-0583-5536","contributorId":172002,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":792258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oliver, Samantha K. 0000-0001-5668-1165","orcid":"https://orcid.org/0000-0001-5668-1165","contributorId":211886,"corporation":false,"usgs":true,"family":"Oliver","given":"Samantha","email":"","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":792259,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lenaker, Peter L. 0000-0002-9469-6285 plenaker@usgs.gov","orcid":"https://orcid.org/0000-0002-9469-6285","contributorId":5572,"corporation":false,"usgs":true,"family":"Lenaker","given":"Peter","email":"plenaker@usgs.gov","middleInitial":"L.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":792260,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nott, Michelle A. 0000-0003-3968-7586","orcid":"https://orcid.org/0000-0003-3968-7586","contributorId":221766,"corporation":false,"usgs":true,"family":"Nott","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":792264,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mills, Marc A.","contributorId":141085,"corporation":false,"usgs":false,"family":"Mills","given":"Marc","email":"","middleInitial":"A.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":792261,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Norris, Gary A.","contributorId":228850,"corporation":false,"usgs":false,"family":"Norris","given":"Gary","email":"","middleInitial":"A.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":792262,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Paatero, Pentti","contributorId":228851,"corporation":false,"usgs":false,"family":"Paatero","given":"Pentti","email":"","affiliations":[{"id":18162,"text":"University of Helsinki","active":true,"usgs":false}],"preferred":false,"id":792263,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70210965,"text":"70210965 - 2020 - Evidence for rapid gut clearance of microplastic polyester fibers fed to Chinook Salmon: A tank study","interactions":[],"lastModifiedDate":"2020-07-08T15:24:54.612535","indexId":"70210965","displayToPublicDate":"2020-06-25T10:23:11","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for rapid gut clearance of microplastic polyester fibers fed to Chinook Salmon: A tank study","docAbstract":"Marine and freshwater plastic pollution is a challenging issue receiving large amounts of research and media attention. Yet, few studies have documented the impact of microplastic ingestion to aquatic organisms. In the Pacific Northwest, Chinook salmon are a culturally and commercially significant fish species. The presence of marine and freshwater microplastic pollution is well documented in Chinook salmon habitat, yet no research has investigated the impacts to salmon from microplastic ingestion. The majority of the marine microplastics found in the Salish Sea are microfibers, synthetic extruded polymers that come from commonly worn clothing. To understand the potential impacts of microfiber ingestion to fish, we ran a feeding experiment with juvenile Chinook salmon to determine if ingested fibers are retained or digestion rates altered over a 10 day digestion period. The experiment was completed in two trials, each consisted of 20 control and 20 treatment fish. Treatment fish were each fed an amended ration of 12 food pellets spiked with 20 polyester microfibers and control fish were fed the same ration without added microfibers. Fish were sampled at day 0, 3, 5, 7, and 10 to assess if fibers were retained in their gastrointestinal tract and to determine the rate of digestion. Fibers for the experiment came from washing a red polyester fleece jacket in a microfiber retention bag. Fibers had a mean length of 4.98 mm. Results showed fish were able to clear up to 94% of fed fibers over 10 days. Differences in mean gastrointestinal mass were not statistically significant at any sampled time between treatment and controls, suggesting that the ingestion of microfibers did not alter digestion rates. Further work is needed to understand if repeated exposures, expected in the environment, alter digestion or food assimilation for growth.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2020.115083","usgsCitation":"Spanjer, A.R., Liedtke, T.L., Conn, K., Weiland, L.K., Black, R.W., and Godfrey, N., 2020, Evidence for rapid gut clearance of microplastic polyester fibers fed to Chinook Salmon: A tank study: Environmental Pollution, v. 265, 115083, 8 p., https://doi.org/10.1016/j.envpol.2020.115083.","productDescription":"115083, 8 p.","ipdsId":"IP-118266","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":456272,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2020.115083","text":"Publisher Index Page"},{"id":376203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"265","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Spanjer, Andrew R. 0000-0002-7288-2722 aspanjer@usgs.gov","orcid":"https://orcid.org/0000-0002-7288-2722","contributorId":150395,"corporation":false,"usgs":true,"family":"Spanjer","given":"Andrew","email":"aspanjer@usgs.gov","middleInitial":"R.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":792301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liedtke, Theresa L. 0000-0001-6063-9867 tliedtke@usgs.gov","orcid":"https://orcid.org/0000-0001-6063-9867","contributorId":2999,"corporation":false,"usgs":true,"family":"Liedtke","given":"Theresa","email":"tliedtke@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":792302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conn, Kathleen E. 0000-0002-2334-6536 kconn@usgs.gov","orcid":"https://orcid.org/0000-0002-2334-6536","contributorId":3923,"corporation":false,"usgs":true,"family":"Conn","given":"Kathleen E.","email":"kconn@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":792303,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weiland, Lisa K. 0000-0002-9729-4062 lweiland@usgs.gov","orcid":"https://orcid.org/0000-0002-9729-4062","contributorId":3565,"corporation":false,"usgs":true,"family":"Weiland","given":"Lisa","email":"lweiland@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":792304,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Black, Robert W. 0000-0002-4748-8213 rwblack@usgs.gov","orcid":"https://orcid.org/0000-0002-4748-8213","contributorId":1820,"corporation":false,"usgs":true,"family":"Black","given":"Robert","email":"rwblack@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":792305,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Godfrey, Nathan","contributorId":228861,"corporation":false,"usgs":false,"family":"Godfrey","given":"Nathan","email":"","affiliations":[{"id":41520,"text":"University of Washington-Tacoma","active":true,"usgs":false}],"preferred":false,"id":792306,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70210856,"text":"70210856 - 2020 - Small gradients in salinity have large effects on stand water use in freshwater wetland forests","interactions":[],"lastModifiedDate":"2020-06-30T12:46:08.952686","indexId":"70210856","displayToPublicDate":"2020-06-25T07:42:12","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Small gradients in salinity have large effects on stand water use in freshwater wetland forests","docAbstract":"Salinity intrusion is responsible for changes to freshwater wetland watersheds globally, but little is known about how wetland water budgets might be influenced by small increments in salinity. We studied a forested wetland in South Carolina, USA, and installed sap flow probes on 72 trees/shrubs along a salinity gradient. Species investigated included the trees baldcypress (Taxodium distichum [L.] Rich.), water tupelo (Nyssa aquatica L.), swamp tupelo (Nyssa biflora Walt.), and the shrub waxmyrtle (Morella cerifera (L.) Small). This study improves upon past reliance on greenhouse seedling studies by adding measurements of trees/shrubs along a salinity gradient, and better describes the role of low salinity on water use in freshwater wetland forests. We measured patterns of water use related to salinity, atmospheric conditions and season, and hypothesized that salinity would influence wetland forest water use through two mechanisms: salinity disturbances would yield stands with species and size classes that transpire less and individual trees with less conductive xylem tissue (i.e., sapwood). Both hypotheses held. At salinity concentrations ranging from fresh to 3 psu, forest structural changes alone resulted in stand water use reductions from 494 mm year-1 in freshwater stands to 316 mm year-1 in stands of slightly higher salinity. Tree sapwood function (inferred from radial sap flux profiles) also changed along this gradient and reduced sap flow rates by an additional 13.3% per unit increase in salinity (psu). Thus, stand water use was further reduced to 190 mm year-1 on saline sites. We found that forest structure is not the only change that affects water use in salinized watersheds; individual tree eco-physiological responses to salinity, manifesting in different radial sap flow profiles, are important as well.
With the expansion of hydropower, in‐stream converters, flood‐protection infrastructures, and growing concerns on deltas fragile ecosystems, there is a pressing need to evaluate and monitor bedform sediment mass flux. It is critical to estimate real‐time bedform size and migration velocity and provide a theoretical framework to convert easily accessible time histories of bed elevations into spatially evolving patterns. We collected spatiotemporally resolved bathymetries from laboratory flumes and the Colorado River in statistically steady, homogeneous, subcritical flow conditions. Wave number and frequency spectra of bed elevations show compelling evidence of scale‐dependent velocity for the hierarchy of migrating bedforms observed in the laboratory and field. New scaling laws were applied to describe the full range of migration velocities as function of two dimensionless groups based on the bed shear velocity, sediment diameter, and water depth. Further simplification resulted in a mixed length scale model estimating scale‐dependent migration velocities, without requiring bedform classification or identification.
On 14–15 April 2015, an intense intermountain cyclone in the western USA caused high winds and a dust storm that degraded air quality in the eastern Great Basin, and deposited dust-on-snow (DOS) in the Wasatch Range near Salt Lake City, Utah. We analyzed the storm and documented its “source-to-sink” development to relate the frontal passage with dust mobilization, air quality changes, and dust deposition on montane snowpack near Alta, Utah. This case study is first to track a dust storm and measure the elemental composition and radiative properties of the resulting DOS as a single specific event layer in Wasatch montane snowpack; prior studies have assessed seasonally aggregated DOS deposits. Dust plumes on MODIS imagery indicate mobilization from known regional “hotspots” for aeolian activity, including clay- and silt-rich alluvium, modern playas, and disturbed areas within the Pleistocene Paleolake Bonneville Basin. This 2015 single event dust layer was 1–3 cm thick with a median dust size of 10.81–12.55 µm; its measured radiative properties are similar to aggregated dusts previously assessed in Wasatch snowpack. Dust from the 2015 DOS event is enriched in the elements As, Cd, Cu, and Mo by a 10× factor relative to average elemental concentrations in the upper continental crust; its heavy metals (Cu, Pb, As, Cd, Mo, Zn) are probably derived from regional mine operations. Tracking elemental fluxes from source-to-sink is important for resolving environmental impacts, and informing future analysis of single storm dust loading, ecosystem impacts, and quantity and quality of meltwater-fed drinking water.
Anaerobic microorganisms play a key role in the biological mercury (Hg) cycle due to their ability to produce bioaccumulative neurotoxic methylmercury (MeHg). However, despite recent advances, how bacteria accumulate inorganic Hg [Hg(II)] prior to methylation is largely unknown. In this study, we applied Hg stable isotopes to measure changes in cellular compartments of Geobacter sulfurreducens and a nonmethylating mutant strain to investigate intracellular transport of Hg(II). Both strains accumulated intracellular Hg(II) that was lower in δ202Hg relative to dissolved extracellular Hg(II), demonstrating mass-dependent fractionation during uptake. Hg reduction by the mutant strain (50% Hg concentration loss in 24 h) resulted in higher δ202Hg values of cellular Hg than in wild-type cells. Further observations showed increasing δ202Hg values in dissolved extracellular MeHg and Hg(II) but decreasing δ202Hg values of intracellular Hg(II) in wild-type G. sulfurreducens suggesting that external Hg pools may be the proximate source of Hg for methylation in this bacterium. This investigation demonstrates that cellular uptake is comprised of multiple processes and transformations that influence Hg(II) prior to methylation, which can impart distinct isotopic signatures to Hg(II) and MeHg pools in the environment.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.estlett.0c00409","usgsCitation":"Wang, Y., Janssen, S., Schaefer, J.K., Yee, N., and Reinfelder, J.R., 2020, Tracing the uptake of Hg(II) in an iron-reducing bacterium using mercury stable isotopes: Environmental Science and Technology Letters, v. 7, no. 8, p. 573-578, https://doi.org/10.1021/acs.estlett.0c00409.","productDescription":"6 p.","startPage":"573","endPage":"578","ipdsId":"IP-120202","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":381754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"8","noUsgsAuthors":false,"publicationDate":"2020-06-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Yuwei","contributorId":149674,"corporation":false,"usgs":false,"family":"Wang","given":"Yuwei","email":"","affiliations":[],"preferred":false,"id":807374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807375,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schaefer, Jeffra K 0000-0002-9916-8078","orcid":"https://orcid.org/0000-0002-9916-8078","contributorId":245950,"corporation":false,"usgs":false,"family":"Schaefer","given":"Jeffra","email":"","middleInitial":"K","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":807376,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yee, Nathan 0000-0002-1023-5271","orcid":"https://orcid.org/0000-0002-1023-5271","contributorId":245952,"corporation":false,"usgs":false,"family":"Yee","given":"Nathan","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":807377,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reinfelder, John R 0000-0002-3737-604X","orcid":"https://orcid.org/0000-0002-3737-604X","contributorId":215897,"corporation":false,"usgs":false,"family":"Reinfelder","given":"John","email":"","middleInitial":"R","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":807378,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70233591,"text":"70233591 - 2020 - Arsenolipids in cultured Picocystis strain ML, and their occurrence in biota and sediment from Mono Lake, California","interactions":[],"lastModifiedDate":"2022-07-27T12:08:06.165445","indexId":"70233591","displayToPublicDate":"2020-06-24T07:06:14","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10135,"text":"Life","active":true,"publicationSubtype":{"id":10}},"title":"Arsenolipids in cultured Picocystis strain ML, and their occurrence in biota and sediment from Mono Lake, California","docAbstract":"Urbanization contributes to the formation of novel elemental combinations and signatures in terrestrial and aquatic watersheds, also known as ‘chemical cocktails.’ The composition of chemical cocktails evolves across space and time due to: (1) elevated concentrations from anthropogenic sources, (2) accelerated weathering and corrosion of the built environment, (3) increased drainage density and intensification of urban water conveyance systems, and (4) enhanced rates of geochemical transformations due to changes in temperature, ionic strength, pH, and redox potentials. Characterizing chemical cocktails and underlying geochemical processes is necessary for: (1) tracking pollution sources using complex chemical mixtures instead of individual elements or compounds; (2) developing new strategies for co-managing groups of contaminants; (3) identifying proxies for predicting transport of chemical mixtures using continuous sensor data; and (4) determining whether interactive effects of chemical cocktails produce ecosystem-scale impacts greater than the sum of individual chemical stressors. First, we discuss some unique urban geochemical processes which form chemical cocktails, such as urban soil formation, human-accelerated weathering, urban acidification-alkalinization, and Freshwater Salinization Syndrome. Second, we review and synthesize global patterns in concentrations of major ions, carbon and nutrients, and trace elements in urban streams across different world regions and make comparisons with reference conditions. In addition to our global analysis, we highlight examples from watersheds in the Baltimore-Washington DC area, USA, which show increased transport of major ions, trace metals, and nutrients across streams draining a well-defined land-use gradient. Urbanization increased the concentrations of multiple major and trace elements in streams draining human-dominated watersheds compared to reference conditions. Chemical cocktails of major and trace elements were formed over diurnal cycles coinciding with changes in streamflow, dissolved oxygen, pH, and other variables measured by high-frequency sensors. Some chemical cocktails of major and trace elements were also significantly related to specific conductance (p < 0.05), which can be measured by sensors. Concentrations of major and trace elements increased, peaked, or decreased longitudinally along streams as watershed urbanization increased, which is consistent with distinct shifts in chemical mixtures upstream and downstream of other major cities in the world. Our global analysis of urban streams shows that concentrations of multiple elements along the periodic table significantly increase when compared with reference conditions. Furthermore, similar biogeochemical patterns and processes can be grouped among distinct mixtures of elements of major ions, dissolved organic matter, nutrients, and trace elements as chemical cocktails. Chemical cocktails form in urban waters over diurnal cycles, decades, and throughout drainage basins. We conclude our global review and synthesis by proposing strategies for monitoring and managing chemical cocktails using source control, ecosystem restoration, and green infrastructure. We discuss future research directions applying the watershed chemical cocktail approach to diagnose and manage environmental problems. Ultimately, a chemical cocktail approach targeting sources, transport, and transformations of different and distinct elemental combinations is beneficial to more holistically monitor and manage the emerging impacts of chemical mixtures in the world's fresh waters.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2020.104632","usgsCitation":"Kaushal, S., Wood, K.L., Galella, J.G., Gion, A.M., Haq, S., Goodling, P.J., Haviland, K., Reimer, J.E., Morel, C.J., Wessel, B., Nguyen, W., Hollingsworth, J.W., Mei, K., Leal, J., Widmer, J., Sharif, R., Mayer, P.M., Newcomer Johnson, T.A., Newcomb, K.D., Smith, E., and Belt, K., 2020, Making ‘chemical cocktails’ – Evolution of urban geochemical processes across the periodic table of elements: Applied Geochemistry, v. 119, 104632, 23 p., https://doi.org/10.1016/j.apgeochem.2020.104632.","productDescription":"104632, 23 p.","ipdsId":"IP-114278","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":456305,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7970522","text":"Publisher Index 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It is necessary to know where the water is and how it relates to features beyond the stream network like forests, cities, and infrastructure. An up-to-date, high-resolution national hydrography framework is required for modeling the occurrence of water and to provide the ability to connect detailed information from the surrounding landscape to the stream network. To support this, the U.S. Geological Survey is developing NHDPlus High Resolution (NHDPlus HR), the next generation of NHDPlus using updated, high-resolution datasets to create a modern, scalable, and openly accessible hydrography framework for the inland waters of the Nation.
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Core Science Systems
U.S. Geological Survey
12201 Sunrise Valley Dr., MS 511
Reston, VA 20192
Email National Hydrography at nhd@usgs.gov
","tableOfContents":"An overreliance on groundwater resources in the Houston (Texas) metropolitan area led to aquifer drawdowns and land subsidence, so regional water suppliers have been turning to surface water resources to meet water demand. Lake Houston, an important water supply reservoir 24 kilometers (15 miles) northeast of downtown Houston, requires new water supply sources to continue to meet water supply demands for the next several decades. The upcoming Luce Bayou Interbasin Transfer Project will divert up to 500 million gallons per day of Trinity River water into Lake Houston. Trinity River water has significantly different water quality than the Lake Houston tributaries. To evaluate the project’s potential effect on water quality, the U.S. Geological Survey used an enhanced version of a previously released Lake Houston hydrodynamic model. With a focus on salinity and water-surface elevations, the model combined data from 2009 to 2017 with simulated flow from the Luce Bayou Interbasin Transfer to evaluate potential outcomes from three hypothetical flow scenarios. Overall, these scenarios found that the Luce Bayou Interbasin Transfer would cause salinities to moderately rise over most of the modeled time (2009–2017), although salinities were buffered under 2011 drought conditions. Large inflow events equalized salinities under baseline conditions as well as the enhanced flow scenarios.
","language":"English","publisher":"Texas Water Resources Institute","doi":"10.21423/twj.v11i1.7094","usgsCitation":"Smith, E.A., and Shah, S.D., 2020, Hydrodynamic modeling results showing the effects of the Luce Bayou interbasin transfer on salinity in Lake Houston, TX: Texas Water Journal, v. 11, no. 1, p. 64-88, https://doi.org/10.21423/twj.v11i1.7094.","productDescription":"25 p.","startPage":"64","endPage":"88","ipdsId":"IP-107391","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":456306,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.21423/twj.v11i1.7094","text":"Publisher Index Page"},{"id":436921,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AVUJ73","text":"USGS data release","linkHelpText":"Lake Houston (Texas) EFDC hydrodynamic model for water-surface elevation and specific conductance simulations, 2009-2017"},{"id":375850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Lake Houston, Luce Bayou","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.11533737182616,\n 30.044430015213965\n ],\n [\n -95.10314941406249,\n 30.045767374787093\n ],\n [\n -95.09679794311523,\n 30.052453901811464\n ],\n [\n -95.08563995361328,\n 30.081423634757307\n ],\n [\n -95.07431030273438,\n 30.09894991821156\n ],\n [\n -95.0592041015625,\n 30.10592986084689\n ],\n [\n -95.0533676147461,\n 30.11944281648474\n ],\n [\n -95.03860473632812,\n 30.128351446338055\n ],\n [\n -95.01869201660156,\n 30.140376821599734\n ],\n [\n -95.0126838684082,\n 30.148392924428762\n ],\n [\n -95.04392623901367,\n 30.133250850150496\n ],\n [\n -95.0621223449707,\n 30.121224606751863\n ],\n [\n -95.06658554077148,\n 30.107117887092357\n ],\n [\n -95.08289337158203,\n 30.10236569641242\n ],\n [\n -95.09920120239256,\n 30.08216633691056\n ],\n [\n -95.10074615478516,\n 30.07280788225917\n ],\n [\n -95.1060676574707,\n 30.066865546842724\n ],\n [\n -95.10932922363281,\n 30.053642570466106\n ],\n [\n -95.1222038269043,\n 30.052899654229005\n ],\n [\n -95.12392044067383,\n 30.043835627386027\n ],\n [\n -95.11533737182616,\n 30.044430015213965\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.13198852539062,\n 29.91090055463952\n ],\n [\n -95.11344909667969,\n 29.92696926999306\n ],\n [\n -95.1361083984375,\n 29.94660528850718\n ],\n [\n -95.11207580566406,\n 29.9793233715619\n ],\n [\n -95.11276245117188,\n 29.99478635165809\n ],\n [\n -95.10177612304688,\n 30.010841512528764\n ],\n [\n -95.10726928710938,\n 30.0405664305846\n ],\n [\n -95.14778137207031,\n 30.088107753367257\n ],\n [\n -95.16288757324219,\n 30.080978010788556\n ],\n [\n -95.15602111816406,\n 30.06255713055085\n ],\n [\n -95.13473510742186,\n 30.041160838027047\n ],\n [\n -95.15602111816406,\n 30.050670872077248\n ],\n [\n -95.19378662109375,\n 30.035811042667792\n ],\n [\n -95.24940490722656,\n 30.028083050581905\n ],\n [\n -95.2459716796875,\n 30.012030680358613\n ],\n [\n -95.21713256835938,\n 30.015003537560943\n ],\n [\n -95.19584655761719,\n 30.012625258927418\n ],\n [\n -95.16288757324219,\n 30.01738175916562\n ],\n [\n -95.15190124511719,\n 30.007273923504556\n ],\n [\n -95.14915466308594,\n 29.989434054144688\n ],\n [\n -95.17662048339844,\n 29.952554831950987\n ],\n [\n -95.16838073730469,\n 29.91923280484215\n ],\n [\n -95.13198852539062,\n 29.91090055463952\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Erik A. 0000-0001-8434-0798 easmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8434-0798","contributorId":1405,"corporation":false,"usgs":true,"family":"Smith","given":"Erik","email":"easmith@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791375,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shah, Sachin D. 0000-0002-5440-5535 sdshah@usgs.gov","orcid":"https://orcid.org/0000-0002-5440-5535","contributorId":194450,"corporation":false,"usgs":true,"family":"Shah","given":"Sachin","email":"sdshah@usgs.gov","middleInitial":"D.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791376,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70210731,"text":"70210731 - 2020 - Gas hydrates in sustainable chemistry","interactions":[],"lastModifiedDate":"2020-09-10T19:55:23.839861","indexId":"70210731","displayToPublicDate":"2020-06-22T09:22:36","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5967,"text":"Chemical Society Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Gas hydrates in sustainable chemistry","docAbstract":"Gas hydrates have received considerable attention due to their important role in flow assurance for the oil and gas industry, their extensive natural occurrence on Earth and extraterrestrial planets, and their significant applications in sustainable technologies including but not limited to gas and energy storage, gas separation, and water desalination. Given not only their inherent structural flexibility depending on the type of guest gas molecules and formation conditions, but also the synthetic effects of a wide range of chemical additives on their properties, these variabilities could be exploited to optimise the role of gas hydrates. This includes increasing their industrial applications, understanding and utilising their role in Nature, identifying potential methods for safely extracting natural gases stored in naturally occurring hydrates within the Earth, and for developing green technologies. This review summarizes the different properties of gas hydrates as well as their formation and dissociation kinetics and then reviews the fast-growing literature reporting their role and applications in the aforementioned fields, mainly concentrating on advances during the last decade. Challenges, limitations, and future perspectives of each field are briefly discussed. The overall objective of this review is to provide readers with an extensive overview of gas hydrates that we hope will stimulate further work on this riveting field.","language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/C8CS00989A","usgsCitation":"Hassanpouryouzband, A., Joonaki, E., Vasheghani Farahania, M., Takeya, S., Ruppel, C.D., Yang, J., English, N., Schicks, J., Edlmann, K., Mehrabian, H., and Tohidi, B., 2020, Gas hydrates in sustainable chemistry: Chemical Society Reviews, v. 49, p. 5225-5309, https://doi.org/10.1039/C8CS00989A.","productDescription":"85 p.","startPage":"5225","endPage":"5309","ipdsId":"IP-116534","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":456327,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1039/c8cs00989a","text":"Publisher Index Page"},{"id":375787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hassanpouryouzband, Aliakbar","contributorId":225426,"corporation":false,"usgs":false,"family":"Hassanpouryouzband","given":"Aliakbar","email":"","affiliations":[{"id":41105,"text":"Heriot-Watt University, Edinburgh, Scotland","active":true,"usgs":false}],"preferred":false,"id":791153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Joonaki, Edris","contributorId":225427,"corporation":false,"usgs":false,"family":"Joonaki","given":"Edris","email":"","affiliations":[{"id":41105,"text":"Heriot-Watt University, Edinburgh, Scotland","active":true,"usgs":false}],"preferred":false,"id":791154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vasheghani Farahania, Mehrdad","contributorId":225428,"corporation":false,"usgs":false,"family":"Vasheghani Farahania","given":"Mehrdad","email":"","affiliations":[{"id":41105,"text":"Heriot-Watt University, Edinburgh, Scotland","active":true,"usgs":false}],"preferred":false,"id":791155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takeya, Satoshi","contributorId":225429,"corporation":false,"usgs":false,"family":"Takeya","given":"Satoshi","email":"","affiliations":[{"id":41106,"text":"AIST, Japan","active":true,"usgs":false}],"preferred":false,"id":791156,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruppel, Carolyn D. 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":195778,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","email":"cruppel@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":791157,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yang, Jinhai","contributorId":225430,"corporation":false,"usgs":false,"family":"Yang","given":"Jinhai","email":"","affiliations":[{"id":41105,"text":"Heriot-Watt University, Edinburgh, Scotland","active":true,"usgs":false}],"preferred":false,"id":791158,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"English, Neill","contributorId":225431,"corporation":false,"usgs":false,"family":"English","given":"Neill","email":"","affiliations":[{"id":41107,"text":"University College Dublin, Ireland","active":true,"usgs":false}],"preferred":false,"id":791159,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schicks, Judith","contributorId":225432,"corporation":false,"usgs":false,"family":"Schicks","given":"Judith","email":"","affiliations":[{"id":41108,"text":"GFZ Postdam","active":true,"usgs":false}],"preferred":false,"id":791160,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Edlmann, Katriona","contributorId":225433,"corporation":false,"usgs":false,"family":"Edlmann","given":"Katriona","email":"","affiliations":[{"id":41109,"text":"University of Edinburgh,Scotland","active":true,"usgs":false}],"preferred":false,"id":791161,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mehrabian, Hadi","contributorId":225434,"corporation":false,"usgs":false,"family":"Mehrabian","given":"Hadi","email":"","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":791162,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Tohidi, Bahman","contributorId":225435,"corporation":false,"usgs":false,"family":"Tohidi","given":"Bahman","email":"","affiliations":[{"id":41105,"text":"Heriot-Watt University, Edinburgh, Scotland","active":true,"usgs":false}],"preferred":false,"id":791163,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70210711,"text":"ofr20201067 - 2020 - Water-quality, bed-sediment, and invertebrate tissue trace-element concentrations for tributaries in the Clark Fork Basin, Montana, October 2017–September 2018","interactions":[],"lastModifiedDate":"2020-06-22T14:34:37.361537","indexId":"ofr20201067","displayToPublicDate":"2020-06-22T07:18:53","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1067","displayTitle":"Water-Quality, Bed-Sediment, and Invertebrate Tissue Trace-Element Concentrations for Tributaries in the Clark Fork Basin, Montana, October 2017–September 2018","title":"Water-quality, bed-sediment, and invertebrate tissue trace-element concentrations for tributaries in the Clark Fork Basin, Montana, October 2017–September 2018","docAbstract":"Water, bed sediment, and invertebrate tissue were sampled in streams from Butte to near Missoula, Montana, as part of a monitoring program in the Clark Fork Basin. The sampling program was completed by the U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency, to characterize aquatic resources in the Clark Fork Basin and monitor trace elements associated with historical mining and smelting activities. Sampling sites were on the river and tributaries of the Clark Fork. Water samples were collected periodically at 20 sites from October 2017 through September 2018. Bed-sediment and tissue samples were collected once at 13 sites during August 2018.
Water-quality data included concentrations of major ions, dissolved organic carbon, nitrogen (nitrate plus nitrite), trace elements, and suspended sediment. Daily values of turbidity were determined at four sites. Bed-sediment data included trace-element concentrations in the fine-grained (less than 0.063 millimeter) fraction. Biological data included trace-element concentrations in whole-body tissue of aquatic benthic invertebrates. Statistical summaries of water-quality, bed-sediment, and invertebrate tissue trace element data for sites in the Clark Fork Basin were provided for the period of record: March 1985–September 2018.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201067","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Clark, G.D., Hornberger, M.I., Cleasby, T.E., Heinert, T.L., and Turner, M.A., 2020, Water-quality, bed-sediment, and invertebrate tissue trace-element concentrations for tributaries in the Clark Fork Basin, Montana, October 2017–September 2018: U.S. Geological Survey Open-File Report 2020–1067, 16 p., https://doi.org/10.3133/ofr20201067.","productDescription":"Report: vi, 16 p.; Data Release; Dataset","numberOfPages":"26","onlineOnly":"Y","ipdsId":"IP-115189","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":375701,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98IRLJF","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Water-quality, bed-sediment, and invertebrate tissue trace element concentrations for tributaries in the Clark Fork Basin, Montana, October 2017–September 2018"},{"id":375700,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1067/ofr20201067.pdf","text":"Report","size":"1.00 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020–1067"},{"id":375699,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1067/coverthb.jpg"},{"id":375702,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System","description":"NWIS","linkHelpText":"— USGS Water Data for the Nation"}],"country":"United States","state":"Montana","otherGeospatial":"Clark Fork Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.345703125,\n 45.24395342262324\n ],\n [\n -111.181640625,\n 45.24395342262324\n ],\n [\n -111.181640625,\n 47.264320080254805\n ],\n [\n -114.345703125,\n 47.264320080254805\n ],\n [\n -114.345703125,\n 45.24395342262324\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Boseman Avenue
Helena, MT 59601