Small waterbodies are numerically dominant in many landscapes and provide several important ecosystem services, but automated measurement of waterbodies smaller than a standard Landsat pixel (0.09 ha) remains challenging. To further evaluate sub‐Landsat pixel techniques for estimating inundation extent of small waterbodies (basin area: 0.06–1.79 ha), we used a partial spectral unmixing method with matched filtering applied to September 1985–2018 Landsat 5 and eight imagery from southern Arizona, USA. We estimated trends in modeled surface water area each September and evaluated the ability of several common drought indices to explain variation in mean water area. Our methods accurately classified waterbodies as dry or inundated (Landsat 5: 91.3%; Landsat 8: 98.9%) and modeled and digitized surface water areas were strongly correlated (R2 = 0.70–0.92; bias = −0.024 to −0.015 ha). Estimated surface water area was best explained by the 3‐month seasonal standardized precipitation index (SPI03; July‒September). We found a wide range of estimated relationships between drought indices (e.g. SPI vs. Palmer Drought Severity Index) and estimated water area, even for different durations of the same drought index (e.g. SPI01 vs. SPI12). Mean waterbody surface area decreased by ~14% from September 1985 to September 2018, which matches declines in local annual precipitation and regional trends of reduced inundation extent of larger waterbodies. These results emphasize the importance of understanding local systems when relying on drought indices to infer variation in past or future surface water dynamics. Several challenges remain before widespread application of sub‐pixel methods is feasible, but our results provide further evidence that partial spectral unmixing with matched filtering provides reliable measures of inundation extent of small waterbodies.
","language":"English","publisher":"Zoological Society of London (Wiley)","doi":"10.1002/rse2.172","usgsCitation":"Sall, I., Jarchow, C., Sigafus, B.H., Eby, L., Forzley, M.J., and Hossack, B., 2021, Estimating inundation of small waterbodies with sub-pixel analysis of Landsat imagery: Long-term trends in surface water area and evaluation of common drought indices: Remote Sensing in Ecology and Conservation, v. 7, no. 1, p. 109-124, https://doi.org/10.1002/rse2.172.","productDescription":"16 p.","startPage":"109","endPage":"124","ipdsId":"IP-114730","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":454519,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rse2.172","text":"Publisher Index Page"},{"id":383382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Arizona","otherGeospatial":"San Rafael Valley and neighboring areas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.89599609375,\n 31.283245492650792\n ],\n [\n -110.2313232421875,\n 31.283245492650792\n ],\n [\n -110.2313232421875,\n 31.991771310172094\n ],\n [\n -110.89599609375,\n 31.991771310172094\n ],\n [\n -110.89599609375,\n 31.283245492650792\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Sall, Ibrahima 0000-0002-7526-636X","orcid":"https://orcid.org/0000-0002-7526-636X","contributorId":251750,"corporation":false,"usgs":false,"family":"Sall","given":"Ibrahima","email":"","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":810490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarchow, Christopher J. 0000-0002-0424-4104","orcid":"https://orcid.org/0000-0002-0424-4104","contributorId":211737,"corporation":false,"usgs":false,"family":"Jarchow","given":"Christopher J.","affiliations":[{"id":38314,"text":"USGS Southwest Biological Science Center, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":810491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sigafus, Brent H. 0000-0002-7422-8927 bsigafus@usgs.gov","orcid":"https://orcid.org/0000-0002-7422-8927","contributorId":4534,"corporation":false,"usgs":true,"family":"Sigafus","given":"Brent","email":"bsigafus@usgs.gov","middleInitial":"H.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":810492,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eby, Lisa A","contributorId":251751,"corporation":false,"usgs":false,"family":"Eby","given":"Lisa A","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":810493,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Forzley, Michael James 0000-0001-5307-8459","orcid":"https://orcid.org/0000-0001-5307-8459","contributorId":251752,"corporation":false,"usgs":true,"family":"Forzley","given":"Michael","email":"","middleInitial":"James","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":810494,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hossack, Blake R. 0000-0001-7456-9564","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":229347,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":810495,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70216027,"text":"70216027 - 2021 - Modeling groundwater inflow to the new crater lake at Kīlauea Volcano, Hawaiʻi","interactions":[],"lastModifiedDate":"2021-01-19T16:36:55.791411","indexId":"70216027","displayToPublicDate":"2020-06-08T18:53:43","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Modeling groundwater inflow to the new crater lake at Kīlauea Volcano, Hawaiʻi","docAbstract":"During the 2018 eruption of Kīlauea Volcano, Hawai'i, scientists relied heavily on a conceptual model of explosive eruptions triggered when lava‐lake levels drop below the water table. Numerical modeling of multiphase groundwater flow and heat transport revealed that, contrary to expectations, liquid water inflow to the drained magma conduit would likely be delayed by months to years, owing to the inability of liquid water to transit a zone of very hot rock. The summit of Kīlauea subsequently experienced an ∼2‐month period of consistent repeated collapses, and the crater now extends below the equilibrium position of the water table. Liquid water first emerged into the deepened crater in late July 2019. The timing of first appearance of liquid water (about 14 months postcollapse) and the rate of crater lake filling (currently ∼27 kg/s) were well‐predicted by the numerical modeling done in late spring 2018, which forecast liquid inflow after 3 to 24 months at rates of 10 to 100 kg/s. A second‐generation groundwater model, reflecting the current crater geometry, forecasts lake filling over the next several years. The successful 2018 to present forecasts with both models are based on unadjusted in situ permeability estimates (1 to 6 × 10−14 m2) and water‐table elevations (600 to 800 m) from a nearby research drillhole and geophysical surveys. Important unknowns that affect the reliability of longer‐term forecasts include the equilibrium water‐table geometry, the rate of evaporation from the hot and growing crater lake (currently ∼29,000 m2 at 70‐80 °C), and heterogenous permeability changes caused by the 2018 collapse.
Dissolved organic matter (DOM) helps regulate aquatic ecosystem structure and function. In small streams, DOM concentrations are controlled by transport of terrestrial materials to waterways, and are thus highly variable. As rivers become larger, the River Continuum Concept hypothesizes that internal primary production is an increasingly important DOM source, but direct evidence is limited. Recently, the Pulse-Shunt Concept postulated that terrestrial DOM concentrations in larger rivers increase with flow and temperature, which seemingly contradicts previously reported DOM chemostasis in large rivers. This study estimates daily gross primary production (GPP) in 13 streams and rivers across the Connecticut River watershed (watershed areas 0.4–25,019 km2) from 2015 through 2017. Chemostasis of DOM concentrations is maintained by a switch from autochthonous sources of DOM at low flows to terrestrial sources of DOM at high flows in a large temperate river and to a lesser degree in smaller tributaries. At low flow, autochthonous DOM linked to aquatic GPP is the dominant fraction of the DOM pool in large rivers. This autochthonous DOM maintains chemostasis in the main stem and to a lesser extent upstream. Thus, in larger rivers, low-flow autochthonous production stabilizes DOM concentrations during the summer, a critical time for riverine ecology. Consistent with the Pulse-Shunt Concept, terrigenous DOM is the dominant fraction of DOM during higher flow periods and about 70% of annual DOM fluxes to the coast are terrestrial. This pattern of DOM switching is potentially widespread in temperate watersheds with implications to both inland waters and coastal ecosystems.
Manipulation of water velocities and turbulence using pumps, propellers, or jets is a promising alternative to physical water control structures to guide fish towards traps or fishways. Sea lamprey (Petromyzon marinus) are a species of concern in much of their native and invasive ranges, and their improved guidance could benefit management actions for both conservation and control. The flow velocity enhancement system (FVES), an emergent technology that uses a Venturi pump to generate a plume of turbulence, has shown promise guiding downstream migrating fish in slow-moving or static water conditions formed by large reservoirs, but is untested for guidance of upstream swimming fish in low current environments. The FVES had minimal impact on depth averaged velocity profiles, but produced elevated levels of turbulence. Changes in spatial distribution and number of turns suggest sea lamprey detect and are mildly attracted to turbulence induced by the FVES. These results demonstrate the potential of induced turbulence as a guidance mechanism for upstream migrating sea lamprey, but more extensive testing is needed to show the full utility of this approach.
","language":"English","publisher":"Taylor and Francis","doi":"10.1080/24705357.2020.1775504","usgsCitation":"Zielinski, D.P., Miehls, S.M., Burns, G., and Coutant, C., 2021, Adult sea lamprey respond to induced turbulence in a low current system: Journal of Ecohydraulics, v. 6, no. 1, p. 82-90, https://doi.org/10.1080/24705357.2020.1775504.","productDescription":"9 p.","startPage":"82","endPage":"90","ipdsId":"IP-115537","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":502414,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":378246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","city":"Hammond","otherGeospatial":"Hammond Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.0725326538086,\n 45.49503704949293\n ],\n [\n -84.00146484374999,\n 45.49503704949293\n ],\n [\n -84.00146484374999,\n 45.50466259908575\n ],\n [\n -84.0725326538086,\n 45.50466259908575\n ],\n [\n -84.0725326538086,\n 45.49503704949293\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Zielinski, Daniel P.","contributorId":211034,"corporation":false,"usgs":false,"family":"Zielinski","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":34820,"text":"Great Lakes Fisheries Commission, Ann Arbor, MI","active":true,"usgs":false}],"preferred":false,"id":798244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miehls, Scott M. 0000-0002-5546-1854 smiehls@usgs.gov","orcid":"https://orcid.org/0000-0002-5546-1854","contributorId":5007,"corporation":false,"usgs":true,"family":"Miehls","given":"Scott","email":"smiehls@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":798245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burns, Gordon","contributorId":239968,"corporation":false,"usgs":false,"family":"Burns","given":"Gordon","email":"","affiliations":[{"id":48074,"text":"Natural Solutions ... A Dam Site Better LLC","active":true,"usgs":false}],"preferred":false,"id":798246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coutant, Charles","contributorId":239969,"corporation":false,"usgs":false,"family":"Coutant","given":"Charles","affiliations":[{"id":48075,"text":"Coutant Aquatics","active":true,"usgs":false}],"preferred":false,"id":798247,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70216760,"text":"70216760 - 2021 - Assessment of NMR logging for estimating hydraulic conductivity in glacial aquifers","interactions":[],"lastModifiedDate":"2021-01-19T16:10:34.106194","indexId":"70216760","displayToPublicDate":"2020-05-10T09:40:16","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of NMR logging for estimating hydraulic conductivity in glacial aquifers","docAbstract":"Glacial aquifers are an important source of groundwater in the United States and require accurate characterization to make informed management decisions. One parameter that is crucial for understanding the movement of groundwater is hydraulic conductivity, K. Nuclear magnetic resonance (NMR) logging measures the NMR response associated with the water in geological materials. By utilizing an external magnetic field to manipulate the nuclear spins associated with 1H, the time‐varying decay of the nuclear magnetization is measured. This logging method could provide an effective way to estimate K at submeter vertical resolution, but the models that relate NMR measurements to K require calibration. At two field sites in a glacial aquifer in central Wisconsin, we collected a total of four NMR logs and obtained measurements of K in their immediate vicinity with a direct‐push permeameter (DPP). Using a bootstrap algorithm to calibrate the Schlumberger‐Doll Research (SDR) NMR‐K model, we estimated K to within a factor of 5 of the DPP measurements. The lowest levels of accuracy occurred in the lower‐K (K < 10−4 m/s) intervals. We also evaluated the applicability of prior SDR model calibrations. We found the NMR calibration parameters varied with K, suggesting the SDR model does not incorporate all the properties of the pore space that control K. Thus, the expected range of K in an aquifer may need to be considered during calibration of NMR‐K models. This study is the first step toward establishing NMR logging as an effective method for estimating K in glacial aquifers.
The migration of larval fish from spawning to rearing habitat in rivers is not well understood. This paper describes a methodology to predict larval drift using a Lagrangian particle-tracking (LPT) model with passive and active behavioural components loosely coupled to a quasi-three-dimensional hydraulic model. In the absence of measured larval drift, a heuristic approach is presented for the larval drift of two species of interest, white sturgeon (Acipenser transmontanus) and burbot (Lota lota), in the Kootenai River, Idaho. Previous studies found that many fish species prefer certain vertical zones within the water column; sturgeon tend to be found near the bottom and burbot close to the water surface. Limiting the vertical movement of larvae is incorporated into the active component of the LPT model. The results illustrate a pattern of drift where secondary flow in meander bends and other zones of flow curvature redistributes particles toward the outside of the bend for surface drifters and toward the inside of the bend for bottom drifters. This pattern periodically reinforces the intersection of drifting larvae with channel margins in meander bends. In the absence of measured larval drift data, the model provides a tool for hypothesis testing and a guide to both field and laboratory experiments to further define the role of active behaviour in drifting larvae.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/24705357.2019.1709102","usgsCitation":"McDonald, R.R., and Nelson, J.M., 2021, A Lagrangian particle-tracking approach to modelling larval drift in rivers: Journal of Ecohydraulics, v. 6, no. 1, p. 17-35, https://doi.org/10.1080/24705357.2019.1709102.","productDescription":"19 p.","startPage":"17","endPage":"35","ipdsId":"IP-102070","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":502662,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":436681,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K1U4O0","text":"USGS data release","linkHelpText":"fluvial-particle, U.S. Geological Survey software release"},{"id":415416,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Kootenai River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.1478357988205,\n 48.69782150172384\n ],\n [\n -116.12731836897655,\n 48.73211652626813\n ],\n [\n -116.32565352413204,\n 48.71948423713994\n ],\n [\n -116.34753878263186,\n 48.78261395455223\n ],\n [\n -116.35574575456924,\n 48.936497382156176\n ],\n [\n -116.41319455813164,\n 48.99935415693781\n ],\n [\n -116.58964445478699,\n 49.00025153683018\n ],\n [\n -116.55544873838093,\n 48.94907507626053\n ],\n [\n -116.45012593185005,\n 48.894249080754236\n ],\n [\n -116.43644764528761,\n 48.82135431506677\n ],\n [\n -116.4255050160379,\n 48.72038664873716\n ],\n [\n -116.33112483875708,\n 48.669826665231625\n ],\n [\n -116.1478357988205,\n 48.69782150172384\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"6","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-05-12","publicationStatus":"PW","contributors":{"authors":[{"text":"McDonald, Richard R. 0000-0002-0703-0638 rmcd@usgs.gov","orcid":"https://orcid.org/0000-0002-0703-0638","contributorId":2428,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"rmcd@usgs.gov","middleInitial":"R.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":868972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":868973,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70217892,"text":"70217892 - 2021 - Quantifying and mapping inundation regimes within a large river‐floodplain ecosystem for ecological and management applications","interactions":[],"lastModifiedDate":"2021-02-11T17:40:25.289588","indexId":"70217892","displayToPublicDate":"2020-04-17T06:32:29","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying and mapping inundation regimes within a large river‐floodplain ecosystem for ecological and management applications","docAbstract":"Spatial information on the distribution of ecosystem patterns and processes can be a critical component of designing and implementing effective management programs in river‐floodplain ecosystems. For example, translating how flood pulses detected within a stream gauge record are spatially manifested across a river‐valley bottom can be used to evaluate whether the current distribution of physical conditions has the potential to support priority habitats or if intervention is needed to meet desired goals. The size and complexity of large river‐floodplain systems can make mapping inundation dynamics a challenging task. We used a geospatial model to simulate 40 years (1972–2011) of daily surface‐water inundation depths for 11,331 km2 of the Upper Mississippi River System floodplain. We identified discrete inundation events at each 4‐m × 4‐m pixel in the model as sequential days of submergence. We then quantified and mapped four aspects of inundation regime – event frequency, duration, magnitude, and timing – for each pixel. The spatial distribution of inundation regime attributes varied within and among multiple levels of river organization, including navigation pools and geomorphic reaches, but only event timing exhibited a strong down‐river trend. Non‐linear relations among inundation attributes and their geospatial distributions likely reflect complex interactions among topographic, hydrologic, and anthropogenic constraints on flooding dynamics. Together, our results reveal spatial gradients in inundation dynamics not captured by hydrologic data alone. Characterizing such diversity in inundation dynamics is important for testing hypotheses about ecological processes, developing models of ecosystem functions, and informing management actions.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.3628","usgsCitation":"Van Appledorn, M., De Jager, N.R., and Rohweder, J.J., 2021, Quantifying and mapping inundation regimes within a large river‐floodplain ecosystem for ecological and management applications: River Research and Applications, v. 37, no. 2, p. 241-255, https://doi.org/10.1002/rra.3628.","productDescription":"15 p.","startPage":"241","endPage":"255","ipdsId":"IP-113745","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":383139,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, Iowa, Minnesota, Missouri, Wisconsin","otherGeospatial":"Upper Mississippi River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.3955078125,\n 38.51378825951165\n ],\n [\n -88.154296875,\n 40.245991504199026\n ],\n [\n -86.572265625,\n 41.07935114946899\n ],\n [\n -86.7919921875,\n 41.50857729743935\n ],\n [\n -88.0224609375,\n 42.45588764197166\n ],\n [\n -89.3408203125,\n 44.213709909702054\n ],\n [\n -91.7578125,\n 45.85941212790755\n ],\n [\n -92.63671875,\n 46.195042108660154\n ],\n [\n -92.59277343749999,\n 47.724544549099676\n ],\n [\n -94.8779296875,\n 47.249406957888446\n ],\n [\n -95.9326171875,\n 47.30903424774781\n ],\n [\n -95.4052734375,\n 44.84029065139799\n ],\n [\n -93.6474609375,\n 42.13082130188811\n ],\n [\n -93.515625,\n 39.605688178320804\n ],\n [\n -90.3955078125,\n 38.51378825951165\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Appledorn, Molly 0000-0002-8029-0014","orcid":"https://orcid.org/0000-0002-8029-0014","contributorId":205785,"corporation":false,"usgs":true,"family":"Van Appledorn","given":"Molly","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":810089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":810090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rohweder, Jason J. 0000-0001-5131-9773 jrohweder@usgs.gov","orcid":"https://orcid.org/0000-0001-5131-9773","contributorId":150539,"corporation":false,"usgs":true,"family":"Rohweder","given":"Jason","email":"jrohweder@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":810091,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70216167,"text":"70216167 - 2021 - Geomorphological mapping and anthropogenic landform change in an urbanizing watershed using structure-from-motion photogrammetry and geospatial modeling techniques","interactions":[],"lastModifiedDate":"2021-11-01T14:41:49.052895","indexId":"70216167","displayToPublicDate":"2020-04-01T09:21:52","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2375,"text":"Journal of Maps","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphological mapping and anthropogenic landform change in an urbanizing watershed using structure-from-motion photogrammetry and geospatial modeling techniques","docAbstract":"Increasing urbanization and suburban growth in cities globally has highlighted the importance of land planning using detailed geomorphologic maps that depict anthropogenic landform changes. Such mapping provides information crucial for land management, hazard identification, and the management of the challenges arising from urbanization. The development and use of quantitative and repeatable methods to map anthropogenic and natural processes are required to advance the science of urban geomorphological mapping. This study investigated the application of geospatial modeling, structure-from-motion (SfM) photogrammetric methods and DEM differencing as means of quantifying anthropogenic landform changes from archival aerial imagery. Anthropogenic landforms were incorporated into a detailed geomorphologic map in an urbanizing watershed located in the Washington, D.C. metropolitan suburb of Vienna, Virginia.
The Jinsha River, which comprises the upper reaches of the Yangtze River, has among the highest freshwater fish biodiversity and endemism in China, but these characteristics have rarely been quantitatively evaluated at the basin scale. We used fish presence–absence data collected from the entire Jinsha River basin (JRB) from 1964 to 2017 to determine patterns in fish biodiversity. In total, 229 freshwater fish species from 9 orders, 26 families, and 110 genera were recorded. Of these species, 161 were endemic to China, with 94 species being endemic to the Yangtze River basin, and 39 species were threatened. Fish species richness was higher in the downstream river reaches and was higher in the main stem than in the tributaries. Overfishing, water pollution, and dam construction have been threatening fish diversity in the JRB for several decades. Conservation strategies similar to those used in North America may be applicable to the JRB to help protect native fishes in this important river basin. Such strategies include (1) assessment of several tributaries as fish reserves; (2) regular adjustment of turbine operations during the fish spawning period; and (3) regulation of the many co-occurring human stressors in the JRB.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10441","usgsCitation":"Liu, H.W., Guo, C., Qu, X., Xiong, F., Paukert, C.P., Chen, Y., and Sullivan, W., 2021, Fish diversity, endemism, threats, and conservation in the Jinsha River basin (upper Yangtze River), China: North American Journal of Fisheries Management, v. 41, no. 4, p. 967-984, https://doi.org/10.1002/nafm.10441.","productDescription":"18 p.","startPage":"967","endPage":"984","ipdsId":"IP-113887","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":396169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Jinsha River Basin (Upper Yangtze River)","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 90.5,\n 24.6\n ],\n [\n 105.25,\n 24.6\n ],\n [\n 105.25,\n 35.7333\n ],\n [\n 90.5,\n 35.7333\n ],\n [\n 90.5,\n 24.6\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Liu, H. W.","contributorId":152164,"corporation":false,"usgs":false,"family":"Liu","given":"H.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":835337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guo, C.","contributorId":272911,"corporation":false,"usgs":false,"family":"Guo","given":"C.","email":"","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":835338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Qu, X.","contributorId":279670,"corporation":false,"usgs":false,"family":"Qu","given":"X.","email":"","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":835339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xiong, F.","contributorId":279671,"corporation":false,"usgs":false,"family":"Xiong","given":"F.","affiliations":[{"id":57334,"text":"http://orcid.org/0000-0002-9369-8545","active":true,"usgs":false}],"preferred":false,"id":835340,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paukert, Craig P. 0000-0002-9369-8545","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":245524,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","middleInitial":"P.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":835341,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chen, Y.","contributorId":272912,"corporation":false,"usgs":false,"family":"Chen","given":"Y.","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":835342,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sullivan, W.","contributorId":156266,"corporation":false,"usgs":false,"family":"Sullivan","given":"W.","affiliations":[],"preferred":false,"id":835343,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70209883,"text":"70209883 - 2021 - Emerging and historical contaminants detected in desert rodents collected near a low‐level radioactive waste site","interactions":[],"lastModifiedDate":"2021-03-05T21:19:06.956112","indexId":"70209883","displayToPublicDate":"2020-03-18T06:39:08","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Emerging and historical contaminants detected in desert rodents collected near a low‐level radioactive waste site","docAbstract":"In an effort to determine contaminant presence, concentrations, and movement from a low‐level radioactive waste (LLRW) burial disposal site to ecosystems in the surrounding area, a study was developed to assess concentrations of per‐ and polyfluoroalkyl substances (PFAS), polychlorinated biphenyls (PCBs), and tritium. To complete this assessment small mammals, vegetation, soil, and insect samples were collected from areas within and adjacent to the Beatty, Nevada, LLRW site and from a reference area located approximately 3 km south of the LLRW site. Samples underwent analysis via liquid chromatography tandem mass spectrometry, gas chromatography mass spectrometry, or scintillation spectroscopy depending on the analyte of interest. Small mammal tissues showed maximum concentrations of over 1700 ng/g for PFAS, 1600 ng/g for PCBs, and 10 000 Bq/kg for tritium. The primary contaminants found in soil samples were PCBs, with maximum concentrations exceeding 25 ng/g. Trace amounts of PFAS were also detected in soils and insects. Only qualitative data were obtained from vegetation samples because of the complex matrix of the dominant plant species (creosote bush; Larrea tridentata [Sessé & Moc. ex DC.] Coville). Overall, these data indicate the presence of various anthropogenic contaminants in the ecosystem surrounding the LLRW area, but additional analyses are necessary to confirm the sources and migration pathways of PFAS and PCBs in this hyperarid environment. Environ Toxicol Chem 2020;00:1–8. © 2020 SETAC
Mercury (Hg) bioaccumulates in aquatic ecosystems and may pose a risk to humans who consume fish. Selenium (Se) has the ability to reduce Hg toxicity, but the current guidance for human consumption of fish is based on Hg concentration alone. The purpose of the present study was to examine the relationship between Se and Hg in freshwater sportfish, for which there is a paucity of existing data. We collected three species of fish from different trophic positions from two drinking water reservoirs in central North Carolina, USA, to assess Hg and Se concentrations in relation to fish total length and to compare two measures of the protective ability of Se, the Se:Hg molar ratio and Se health benefit value (HBVSe), to current guidance for Hg. According to the Se:Hg molar ratio, all of the low trophic position fish sampled and the middle trophic position fish sampled from one of the reservoirs were safe for consumption. The same number of fish were considered safe using the HBVSe. More fish were deemed unsafe when using the Se:Hg molar ratio and HBVSe than were considered unsafe when using the U.S. Environmental Protection Agency (USEPA) Hg threshold. These findings suggest that the measures of Se protection may be unnecessarily conservative or that the USEPA Hg threshold may not be sufficiently protective of human health, especially the health of sensitive populations like pregnant or nursing mothers and young children. Future examination of the Se:Hg molar ratio and HBVSe from a variety of fish tissue samples would help refine the accuracy of these measures so that they may be appropriately utilized in ecological and human health risk assessment.
","language":"English","publisher":"MDPI","doi":"10.3390/ijerph15091864","usgsCitation":"Johnson, T.K., LePrevost, C.E., Kwak, T.J., and Cope, W.G., 2021, Selenium, mercury, and their molar ratios in sportfishes from drinking water reservoirs: International Journal of Environmental Research and Public Health, v. 15, no. 9, 1864, 17 p., https://doi.org/10.3390/ijerph15091864.","productDescription":"1864, 17 p.","ipdsId":"IP-100876","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":454568,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ijerph15091864","text":"Publisher Index Page"},{"id":388174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"9","noUsgsAuthors":false,"publicationDate":"2018-08-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Tara K. B.","contributorId":264411,"corporation":false,"usgs":false,"family":"Johnson","given":"Tara","email":"","middleInitial":"K. B.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":821488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LePrevost, C. E.","contributorId":264412,"corporation":false,"usgs":false,"family":"LePrevost","given":"C.","email":"","middleInitial":"E.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":821489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":821490,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cope, W. G.","contributorId":264384,"corporation":false,"usgs":false,"family":"Cope","given":"W.","email":"","middleInitial":"G.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":821491,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202002,"text":"70202002 - 2021 - Perspectives on the paleolimnology of the late Eocene Florissant lake from diatom and sedimentary evidence at Clare’s Quarry, Teller County, Colorado, USA","interactions":[{"subject":{"id":70202002,"text":"70202002 - 2021 - Perspectives on the paleolimnology of the late Eocene Florissant lake from diatom and sedimentary evidence at Clare’s Quarry, Teller County, Colorado, USA","indexId":"70202002","publicationYear":"2021","noYear":false,"chapter":"10","title":"Perspectives on the paleolimnology of the late Eocene Florissant lake from diatom and sedimentary evidence at Clare’s Quarry, Teller County, Colorado, USA"},"predicate":"IS_PART_OF","object":{"id":70225733,"text":"70225733 - 2021 - From saline to freshwater: The diversity of western lakes in space and time","indexId":"70225733","publicationYear":"2021","noYear":false,"title":"From saline to freshwater: The diversity of western lakes in space and time"},"id":1}],"isPartOf":{"id":70225733,"text":"70225733 - 2021 - From saline to freshwater: The diversity of western lakes in space and time","indexId":"70225733","publicationYear":"2021","noYear":false,"title":"From saline to freshwater: The diversity of western lakes in space and time"},"lastModifiedDate":"2021-11-08T18:11:04.142208","indexId":"70202002","displayToPublicDate":"2019-01-01T10:58:16","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"10","title":"Perspectives on the paleolimnology of the late Eocene Florissant lake from diatom and sedimentary evidence at Clare’s Quarry, Teller County, Colorado, USA","docAbstract":"The late Eocene Florissant Formation in central Colorado is a rich and diverse continental Lagerstätte yielding well-preserved fossil assemblages from lacustrine and fluvial facies. This investigation focused on the lacustrine facies at Clare’s Quarry and used biotic and abiotic evidence to characterize aspects of the lake and processes that resulted in the accumulation and preservation of the host rock and its fossils. Autecology of modern analogs representing the fossil diatom taxa was used to augment sedimentary data in characterizing the lake, propose peripheral habitats within the catchment area, and suggest a terrestrial source for mudstone units.
The sedimentary and stratigraphic record at the study site reveals a lake with sufficient depth to allow bottom waters to remain isolated and anoxic for long periods. Sediments that accumulated in the lake produced distinct lacustrine lithofacies that are interpreted as representing at least three modes of origin: stable lake, pyroclastic, and mud turbidite sedimentation. Slow, suspension settling of fine clays and volcanic ash into a moderately deep, stable lake resulted in laminated shales. These laminated shales contain frustules of diatoms from planktic and benthic lake habitats; diatoms transported into the lake from streams and wetlands; fish, mollusks, ostracods, and insects; and plants from marginal and upslope environments. Intermittent volcanic eruptions produced air-fall ash and granular tuff that accumulated as interbeds within the lake shales. Periods of stable lake sedimentation were frequently interrupted by rapid influxes of suspended fine clays, perhaps as mud-dominated turbidites that prograded into the lake at intervals of high runoff triggered by climatic, volcanic, or tectonic events.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"From saline to freshwater: The diversity of western lakes in space and time","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2018.2536(10)","usgsCitation":"Benson, M., Smith, D.M., and Spaulding, S.A., 2021, Perspectives on the paleolimnology of the late Eocene Florissant lake from diatom and sedimentary evidence at Clare’s Quarry, Teller County, Colorado, USA, chap. 10 of From saline to freshwater: The diversity of western lakes in space and time, v. 536, 26 p., https://doi.org/10.1130/2018.2536(10).","productDescription":"26 p.","ipdsId":"IP-077030","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":361012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","county":"Teller County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-105.3232,39.1307],[-105.274,39.1309],[-105.1607,39.1306],[-105.0503,39.1312],[-105.032,39.1311],[-105.026,39.0413],[-105.0296,38.8668],[-105.0502,38.8665],[-105.0674,38.8666],[-105.0671,38.7946],[-104.939,38.7949],[-104.9386,38.7808],[-104.9399,38.6938],[-104.9428,38.6938],[-104.9427,38.6648],[-104.9427,38.6621],[-104.9429,38.6503],[-104.9429,38.6467],[-104.9806,38.6479],[-104.9989,38.649],[-105.0507,38.6507],[-105.0696,38.6473],[-105.0755,38.646],[-105.0885,38.646],[-105.1657,38.6461],[-105.1845,38.6458],[-105.2222,38.6461],[-105.2387,38.6462],[-105.239,38.677],[-105.2394,38.6965],[-105.2741,38.6971],[-105.2765,38.6972],[-105.3119,38.6969],[-105.3319,38.697],[-105.3294,38.779],[-105.3292,38.867],[-105.3296,38.9535],[-105.3297,39.0116],[-105.3297,39.1308],[-105.3232,39.1307]]]},\"properties\":{\"name\":\"Teller\",\"state\":\"CO\"}}]}","volume":"536","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Benson, Mary Ellen 0000-0002-4424-0730","orcid":"https://orcid.org/0000-0002-4424-0730","contributorId":212794,"corporation":false,"usgs":true,"family":"Benson","given":"Mary Ellen","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":756608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Dena M. 0000-0002-1689-7188","orcid":"https://orcid.org/0000-0002-1689-7188","contributorId":212795,"corporation":false,"usgs":false,"family":"Smith","given":"Dena","email":"","middleInitial":"M.","affiliations":[{"id":12642,"text":"National Science Foundation","active":true,"usgs":false}],"preferred":false,"id":756609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spaulding, Sarah A. 0000-0002-9787-7743","orcid":"https://orcid.org/0000-0002-9787-7743","contributorId":212796,"corporation":false,"usgs":true,"family":"Spaulding","given":"Sarah","email":"","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":756610,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70221393,"text":"70221393 - 2021 - Streamflow, sediment transport, and geomorphic change during the 2011 flood on the Missouri River near Bismarck-Mandan, ND","interactions":[],"lastModifiedDate":"2021-06-15T10:36:19.944894","indexId":"70221393","displayToPublicDate":"2018-08-27T07:47:23","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2126,"text":"JAWRA","active":true,"publicationSubtype":{"id":10}},"title":"Streamflow, sediment transport, and geomorphic change during the 2011 flood on the Missouri River near Bismarck-Mandan, ND","docAbstract":"Geomorphic change from extreme events in large managed rivers has implications for river management. A steady-state, quasi-three-dimensional hydrodynamic model was applied to a 29-km reach of the Missouri River using 2011 flood data. Model results for an extreme flow (500-year recurrence interval [RI]) and an elevated managed flow (75-year RI) were used to assess sediment mobility through examination of the spatial distribution of boundary or bed shear stress (τb) and longitudinal patterns of average τb, velocity, and kurtosis of τb. Kurtosis of τb was used as an indicator of planform channel complexity and can be applied to other river systems. From differences in longitudinal patterns of sediment mobility for the two flows we can infer: (1) under extreme flow, the channel behaves as a single-thread channel controlled primarily by flow, which enhances the meander pattern; (2) under elevated managed flows, the channel behaves as multithread channel controlled by the interaction of flow with bed and channel topography, resulting in a more complex channel; and (3) for both flows, the model reach lacks a consistent pattern of deposition or erosion, which indicates migration of areas of erosion and deposition within the reach. Despite caveats and limitations, the analysis provides useful information about geomorphic change under extreme flow and potential implications for river management. Although a 500-year RI is rare, extreme hydrologic events such as this are predicted to increase in frequency.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12678","usgsCitation":"Nustad, R.A., Benthem, A.J., Skalak, K., McDonald, R.R., Schenk, E., and Galloway, J.M., 2021, Streamflow, sediment transport, and geomorphic change during the 2011 flood on the Missouri River near Bismarck-Mandan, ND: JAWRA, v. 54, no. 5, p. 1151-1167, https://doi.org/10.1111/1752-1688.12678.","productDescription":"17 p.","startPage":"1151","endPage":"1167","ipdsId":"IP-075678","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":454576,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.12678","text":"Publisher Index Page"},{"id":386466,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","city":"Bismarck","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -101.0137939453125,\n 45.94351068030587\n ],\n [\n -100.3436279296875,\n 45.94351068030587\n ],\n [\n -100.3436279296875,\n 46.98774725646568\n ],\n [\n -101.0137939453125,\n 46.98774725646568\n ],\n [\n -101.0137939453125,\n 45.94351068030587\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"54","issue":"5","noUsgsAuthors":false,"publicationDate":"2018-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Nustad, Rochelle A. 0000-0002-4713-5944 ranustad@usgs.gov","orcid":"https://orcid.org/0000-0002-4713-5944","contributorId":1811,"corporation":false,"usgs":true,"family":"Nustad","given":"Rochelle","email":"ranustad@usgs.gov","middleInitial":"A.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benthem, Adam J. 0000-0003-2372-0281","orcid":"https://orcid.org/0000-0003-2372-0281","contributorId":220000,"corporation":false,"usgs":true,"family":"Benthem","given":"Adam","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skalak, Katherine 0000-0003-4122-1240 kskalak@usgs.gov","orcid":"https://orcid.org/0000-0003-4122-1240","contributorId":3990,"corporation":false,"usgs":true,"family":"Skalak","given":"Katherine","email":"kskalak@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":817500,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDonald, Richard R. 0000-0002-0703-0638 rmcd@usgs.gov","orcid":"https://orcid.org/0000-0002-0703-0638","contributorId":2428,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"rmcd@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":817501,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schenk, Edward R.","contributorId":202017,"corporation":false,"usgs":false,"family":"Schenk","given":"Edward R.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":817554,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Galloway, Joel M. 0000-0002-9836-9724 jgallowa@usgs.gov","orcid":"https://orcid.org/0000-0002-9836-9724","contributorId":1562,"corporation":false,"usgs":true,"family":"Galloway","given":"Joel","email":"jgallowa@usgs.gov","middleInitial":"M.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817555,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70221872,"text":"70221872 - 2021 - Contrasting mobilization of elements in contact with sediment from Lake Roosevelt and the Upper Columbia River, Washington, USA","interactions":[],"lastModifiedDate":"2021-07-13T10:20:57.226614","indexId":"70221872","displayToPublicDate":"2018-02-06T10:26:39","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Contrasting mobilization of elements in contact with sediment from Lake Roosevelt and the Upper Columbia River, Washington, USA","docAbstract":"Trace element contamination is known to be widely present in sediment of Lake Roosevelt and the riverine reach of the Columbia River in Washington State, USA due to discharges from several smelters and numerous mines dating back to the mid-1800's. In this study, the concentrations of aqueous elements in contact with bed sediment from the lake and river were examined under varying degrees of physical mixing and time scales. Contrasting geochemical processes affecting aqueous concentrations were inferred from the release of major ions (Ca and Si), elements enriched in metallurgical smelter slag (Cu and Sb), and redox-sensitive species (Fe, Mn, Mo and U). Releases of major ions reflect the contrasting sediment substrates along the length of the river and large reservoir. Calcium released from carbonate minerals and slag particles was most pronounced in regions of carbonate bedrock and near sediment deposits with a large component of slag material, while Si released from unconsolidated glacial/fluvial sediment increased with increasing distance downstream. Sb release was a consistent indicator of slag presence and weathering, possibly because its anionic nature inhibits readsorption onto metal oxides. In contrast, Cu release was quite variable, likely due to varying degrees of copper readsorption or co-precipitation onto metal oxides. The release of Mo and U appeared to be affected by redox conditions, which were assessed using aqueous Fe and Mn concentrations.
Building on a geology-based assessment of undiscovered, technically recoverable petroleum resources in the Eagle Ford Group in south Texas, the U.S. Geological Survey has estimated the required water and proppant demands and formation water production volumes associated with possible future development of these petroleum resources. The results of the water and proppant assessment are presented here, along with related drilling information and relevant water budget volumes for the region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203037","usgsCitation":"Gianoutsos, N.J., Haines, S.S., Varela, B.A., Whidden, K.J., Birdwell, J.E., Burke, L.A., Drake, R.M, II, Finn, T.M., French, K.L., Jenni, K.E., Kinney, S.A., Le, P.A., Leathers-Miller, H.M., Marra, K.R., Mercier, T.J., Paxton, S.T., Pitman, J.K., Schenk, C.J., Shaffer, B.N., Shorten, C.M., Tennyson, M.E., and Woodall, C.A., 2020, Assessment of water and proppant quantities associated with petroleum production from the Eagle Ford Group, Gulf Coast, Texas, 2019 (ver 1.1, March 2022): U.S. Geological Survey Fact Sheet 2020-3037, 4 p., https://doi.org/10.3133/fs20203037.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"N","ipdsId":"IP-117221","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":501274,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_110420.htm","linkFileType":{"id":5,"text":"html"}},{"id":397279,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2020/3037/images"},{"id":397276,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2020/3037/fs20203037.xml"},{"id":397275,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2020/3037/versionHist.txt","text":"Version History","size":"4.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"FS 2020-3037 version history"},{"id":376646,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2020/3037/fs20203037.pdf","text":"Report","size":"1.32 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2020-3037"},{"id":376647,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NWKE6G","text":"USGS data release","linkHelpText":"Input forms for 2019 water and proppant assessment of the Eagle Ford Group, Gulf Coast, Texas"},{"id":376645,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2020/3037/coverthb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Eagle Ford Group, Gulf Coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100.94238281249999,\n 25.58208527870072\n ],\n [\n -95.07568359375,\n 25.58208527870072\n ],\n [\n -95.07568359375,\n 29.420460341013133\n ],\n [\n -100.94238281249999,\n 29.420460341013133\n ],\n [\n -100.94238281249999,\n 25.58208527870072\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Originally posted July 27, 2020; Revised October March 18, 2022","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
The lesser prairie-chicken (Tympanuchus pallidicinctus) occurs in the semiarid southern Great Plains, a region prone to periods of drought. Researchers generally believe that lesser prairie-chickens are able to satisfy their water requirements through preformed water and metabolic processes, but also know that they experience low survival and reproductive success during periods of drought. We used motion-sensing cameras to assess lesser prairie-chicken visits to man-made free water sources over a 48-month period from March 2009 to February 2013 in west Texas. Our objective was to examine temporal patterns of water use by lesser prairie-chickens, and to explore life history phenology and environmental conditions that may influence the species' use of free water. We documented 1,439 visits to water sources by lesser prairie-chickens. Their use of water sources was high during the winter months (December–February; 92 visits per 100 trap days) but the highest average visit rate to water sources occurred during the lekking-nesting life stage (March–May; 146 visits per 100 trap days). Water use was lower during the brood-rearing stage (June–August; 71 visits per 100 trap days) and lowest during the brood dispersal and independence stage (September–November; 19 visits per 100 trap days). Water use was strongly associated with dew point (P < 0.0001) and temperature (P = 0.0002) but was not associated with precipitation (P = 0.1037). These data indicate life-cycle stage (e.g., lekking-nesting) and reduced availability of preformed water may influence use of free water sources by lesser prairie-chickens. Current climate models predict the region of the study area will experience increases in temperature and decreases in frequency of precipitation. The combined effect of this would be reduced environmental moisture. If the prediction of increasing aridity in the region holds true, man-made water sources may become a tool for conservation of the species.
","language":"English","publisher":"Southwestern Association of Naturalists","doi":"10.1894/0038-4909-65.3-4.197","usgsCitation":"Gicklhorn, T.S., Boal, C.W., and Borsdorf, P.K., 2020, Lesser prairie-chicken (Tympanuchus pallidicinctus) use of man-made water sources: Southwestern Naturalist, v. 65, no. 3-4, p. 197-204, https://doi.org/10.1894/0038-4909-65.3-4.197.","productDescription":"8 p.","startPage":"197","endPage":"204","ipdsId":"IP-083938","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":402264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","county":"Cochran County, Hockley County, Terry County, Yoakum County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.03802490234375,\n 33.01557297778958\n ],\n [\n -102.36785888671875,\n 33.01557297778958\n ],\n [\n -102.36785888671875,\n 33.73347670599252\n ],\n [\n -103.03802490234375,\n 33.73347670599252\n ],\n [\n -103.03802490234375,\n 33.01557297778958\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"65","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gicklhorn, Trevor S.","contributorId":166698,"corporation":false,"usgs":false,"family":"Gicklhorn","given":"Trevor","email":"","middleInitial":"S.","affiliations":[{"id":24740,"text":"Department of Natural Resources Management, Texas Tech University, Lubbock, TX, 79409, USA","active":true,"usgs":false}],"preferred":false,"id":844733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":844734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borsdorf, Philip K.","contributorId":93386,"corporation":false,"usgs":false,"family":"Borsdorf","given":"Philip","email":"","middleInitial":"K.","affiliations":[{"id":24740,"text":"Department of Natural Resources Management, Texas Tech University, Lubbock, TX, 79409, USA","active":true,"usgs":false}],"preferred":false,"id":844735,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70221395,"text":"70221395 - 2020 - Asian carp population modeling to support an adaptive management framework","interactions":[],"lastModifiedDate":"2021-06-14T13:17:12.747593","indexId":"70221395","displayToPublicDate":"2021-06-01T08:15:31","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Asian carp population modeling to support an adaptive management framework","docAbstract":"This Monitoring and Response Plan provides the Asian Carp Regional Coordinating Committee (ACRCC) with updates on FWS and USGS modeling efforts for the Spatially Explicit Asian carp Population (SEAcarP) model. For FY2020, efforts are underway to parameterize and analyze the SEAcarP model. Themes: invasive species; Asian carp; Great Lakes.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Monitoring Response Plans, Asian Carp Regional Coordinating Committee","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Asian Carp Regional Coordinating Committee","collaboration":"U.S. Fish and Wildlife Service; ACRCC","usgsCitation":"Kallis, J.L., Erickson, R.A., and Fritts, M.W., 2020, Asian carp population modeling to support an adaptive management framework, 6 p.","productDescription":"6 p.","startPage":"95","endPage":"100","ipdsId":"IP-119007","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":386470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":386461,"type":{"id":15,"text":"Index Page"},"url":"https://www.asiancarp.us/PlansReports.html"}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois River Waterway system","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.5830078125,\n 41.73852846935917\n ],\n [\n -87.62695312499999,\n 42.00032514831621\n ],\n [\n -87.8466796875,\n 42.00032514831621\n ],\n [\n -88.26416015625,\n 41.713930073371294\n ],\n [\n -88.857421875,\n 41.60722821271717\n ],\n [\n -89.439697265625,\n 41.44272637767212\n ],\n [\n -89.8681640625,\n 41.253032440653186\n ],\n [\n -90.32958984375,\n 40.64730356252251\n ],\n [\n -90.791015625,\n 39.93501296038254\n ],\n [\n -90.791015625,\n 39.257778150283364\n ],\n [\n -90.52734374999999,\n 38.659777730712534\n ],\n [\n -90.098876953125,\n 38.65119833229951\n ],\n [\n -90.087890625,\n 39.07037913108751\n ],\n [\n -90.4833984375,\n 39.45316112807394\n ],\n [\n -90.06591796875,\n 40.027614437486655\n ],\n [\n -89.088134765625,\n 40.94671366508002\n ],\n [\n -88.2861328125,\n 41.29431726315258\n ],\n [\n -87.5830078125,\n 41.73852846935917\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kallis, Jahn L.","contributorId":205603,"corporation":false,"usgs":false,"family":"Kallis","given":"Jahn","email":"","middleInitial":"L.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":817507,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":817508,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fritts, Mark W.","contributorId":139239,"corporation":false,"usgs":false,"family":"Fritts","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":817509,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70221394,"text":"70221394 - 2020 - USGS Illinois River monitoring and evaluation","interactions":[],"lastModifiedDate":"2021-11-01T19:06:35.968534","indexId":"70221394","displayToPublicDate":"2021-06-01T08:08:15","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"displayTitle":"USGS Illinois River Monitoring and Evaluation","title":"USGS Illinois River monitoring and evaluation","docAbstract":"Asian carp monitoring and contract removal will continue throughout the Upper Illinois Waterway system as needed for adaptive management to mitigate, control, and contain Asian carp. Compiling data from monitoring and removal efforts into a centralized database (Illinois River Catch Database application) facilitates data standardization, quality, accessibility, sharing, and analysis to aid in Asian carp removal efforts, evaluations of management actions, and modeling efforts (e.g., SEACarP model). Data summarization, visualization, and modeling supports a better understanding of bigheaded carp life history, behavior, and habitat use. Integrating Asian carp-related data and analyses into decision support tools and products aids in applying control and containment methods in an informed and transparent manner (e.g., improved efficiencies in implementations of the Unified Method, inform targeted removal efforts or deterrent deployments in key locations based on preferential benthic characteristics and environmental conditions).","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2020 Asian Carp Monitoring and Response Plan","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Invasive Species Regional Coordinating Committee","usgsCitation":"Harrison, T.J., Hop, K.D., Hlavacek, E., and Knights, B.C., 2020, USGS Illinois River monitoring and evaluation, 4 p.","productDescription":"4 p.","startPage":"87","endPage":"90","ipdsId":"IP-119472","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":386469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":391210,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://invasivecarp.us/Documents/Monitoring-Response-Plan-2020.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois River Waterway system","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.5830078125,\n 41.73852846935917\n ],\n [\n -87.62695312499999,\n 42.00032514831621\n ],\n [\n -87.8466796875,\n 42.00032514831621\n ],\n [\n -88.26416015625,\n 41.713930073371294\n ],\n [\n -88.857421875,\n 41.60722821271717\n ],\n [\n -89.439697265625,\n 41.44272637767212\n ],\n [\n -89.8681640625,\n 41.253032440653186\n ],\n [\n -90.32958984375,\n 40.64730356252251\n ],\n [\n -90.791015625,\n 39.93501296038254\n ],\n [\n -90.791015625,\n 39.257778150283364\n ],\n [\n -90.52734374999999,\n 38.659777730712534\n ],\n [\n -90.098876953125,\n 38.65119833229951\n ],\n [\n -90.087890625,\n 39.07037913108751\n ],\n [\n -90.4833984375,\n 39.45316112807394\n ],\n [\n -90.06591796875,\n 40.027614437486655\n ],\n [\n -89.088134765625,\n 40.94671366508002\n ],\n [\n -88.2861328125,\n 41.29431726315258\n ],\n [\n -87.5830078125,\n 41.73852846935917\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harrison, Travis J. 0000-0002-9195-738X","orcid":"https://orcid.org/0000-0002-9195-738X","contributorId":213966,"corporation":false,"usgs":true,"family":"Harrison","given":"Travis","email":"","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":817503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hop, Kevin D. 0000-0002-9928-4773 khop@usgs.gov","orcid":"https://orcid.org/0000-0002-9928-4773","contributorId":1438,"corporation":false,"usgs":true,"family":"Hop","given":"Kevin","email":"khop@usgs.gov","middleInitial":"D.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":817504,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hlavacek, Enrika 0000-0002-9872-2305 ehlavacek@usgs.gov","orcid":"https://orcid.org/0000-0002-9872-2305","contributorId":149114,"corporation":false,"usgs":true,"family":"Hlavacek","given":"Enrika","email":"ehlavacek@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":817505,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knights, Brent C. 0000-0001-8526-8468 bknights@usgs.gov","orcid":"https://orcid.org/0000-0001-8526-8468","contributorId":2906,"corporation":false,"usgs":true,"family":"Knights","given":"Brent","email":"bknights@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":817506,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228246,"text":"70228246 - 2020 - Juvenile Coho and Chinook salmon growth, size, and condition linked to watershed-scale salmon spawner abundance","interactions":[],"lastModifiedDate":"2022-02-14T12:36:44.43114","indexId":"70228246","displayToPublicDate":"2021-05-15T12:18:53","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Juvenile Coho and Chinook salmon growth, size, and condition linked to watershed-scale salmon spawner abundance","docAbstract":"Anadromous Pacific salmon Oncorhynchus spp. are semelparous, and resource subsidies from spawning adult salmon (marine-derived nutrients [MDN]) benefit juvenile salmonids while they rear in freshwater. However, it is unclear if juvenile salmon populations respond predictably to the abundance of spawning salmon at the watershed scale. To address whether hypothesized benefits to rearing juveniles scale up to population and watershed scales, we examined juvenile Coho Salmon Oncorhynchus kisutch and Chinook Salmon O. tshawytscha growth, fork length, condition, and abundance as a function of MDN assimilation throughout the Unalakleet and North rivers in western Alaska. Additionally, a mark–recapture experiment provided abundance estimates of Coho Salmon smolts emigrating from these two rivers. Prior to spawning, residual MDN from past years offered little advantage to juvenile salmon. However, after the arrival of spawning adults, juveniles demonstrated a positive relationship between MDN and fish size, growth, and condition in fall and winter. Out-migrating smolts also benefitted from MDN resources via increased size and growth rates. Coho Salmon smolt abundance was unrelated to total spawner biomass, but a positive relationship between MDN assimilation and smolt abundance suggested a possible effect on overwinter survival. Furthermore, similar trends in spawner biomass and the abundance of age-1 smolts suggested that age at smolting was influenced by MDN. These relationships support the hypothesis that salmon spawner abundance during Coho and Chinook Salmon rearing is an important factor in the juvenile productivity of these species.
","language":"English","publisher":"Wiley","doi":"10.1002/tafs.10233","usgsCitation":"Joy, P.J., Stricker, C.A., Ivanoff, R., Wang, S.Y., Wipfli, M.S., Seitz, A., Huang, J., and Tyers, M.B., 2020, Juvenile Coho and Chinook salmon growth, size, and condition linked to watershed-scale salmon spawner abundance: Transactions of the American Fisheries Society, v. 150, no. 3, p. 307-326, https://doi.org/10.1002/tafs.10233.","productDescription":"20 p.","startPage":"307","endPage":"326","ipdsId":"IP-109480","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":395641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Chirosky River, North River, Unalakleet River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -160.8185577392578,\n 63.82825415987884\n ],\n [\n -160.5370330810547,\n 63.82825415987884\n ],\n [\n -160.5370330810547,\n 63.91352961251089\n ],\n [\n -160.8185577392578,\n 63.91352961251089\n ],\n [\n -160.8185577392578,\n 63.82825415987884\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"150","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Joy, Philip J.","contributorId":274930,"corporation":false,"usgs":false,"family":"Joy","given":"Philip","email":"","middleInitial":"J.","affiliations":[{"id":56688,"text":"adfg","active":true,"usgs":false}],"preferred":false,"id":833517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":833516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ivanoff, Renae","contributorId":274931,"corporation":false,"usgs":false,"family":"Ivanoff","given":"Renae","email":"","affiliations":[{"id":56689,"text":"nsedc","active":true,"usgs":false}],"preferred":false,"id":833518,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Shiao Y.","contributorId":274932,"corporation":false,"usgs":false,"family":"Wang","given":"Shiao","email":"","middleInitial":"Y.","affiliations":[{"id":56690,"text":"usm","active":true,"usgs":false}],"preferred":false,"id":833519,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":833515,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Seitz, Andrew C.","contributorId":274933,"corporation":false,"usgs":false,"family":"Seitz","given":"Andrew C.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":833520,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huang, Jiaqi","contributorId":274934,"corporation":false,"usgs":false,"family":"Huang","given":"Jiaqi","email":"","affiliations":[{"id":56688,"text":"adfg","active":true,"usgs":false}],"preferred":false,"id":833521,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tyers, Mathew B.","contributorId":274935,"corporation":false,"usgs":false,"family":"Tyers","given":"Mathew","email":"","middleInitial":"B.","affiliations":[{"id":56688,"text":"adfg","active":true,"usgs":false}],"preferred":false,"id":833522,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70216163,"text":"sir20205090 - 2020 - Analysis of remedial scenarios affecting plume movement through a sole-source aquifer system, southeastern Nassau County, New York","interactions":[],"lastModifiedDate":"2021-04-27T17:33:12.761031","indexId":"sir20205090","displayToPublicDate":"2021-04-27T13:40:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5090","displayTitle":"Analysis of Remedial Scenarios Affecting Plume Movement Through a Sole-Source Aquifer System, Southeastern Nassau County, New York","title":"Analysis of remedial scenarios affecting plume movement through a sole-source aquifer system, southeastern Nassau County, New York","docAbstract":"A steady-state three-dimensional groundwater-flow model based on present conditions is coupled with the particle-tracking program MODPATH to assess the fate and transport of volatile organic-compound plumes within the Magothy and upper glacial aquifers in southeastern Nassau County, New York. Particles are forward tracked from locations within plumes defined by surfaces of equal concentration. Particles move toward ultimate well capture and discharge to the general head and drain boundaries representing natural receptors in the models. Because rates of advection within coarse-grained sediments typically exceed 0.1 foot per day, mechanisms of dispersion and diffusion were assumed to be negligible. Resulting particle pathlines are influenced by hydrogeologic framework features and the interplay of nearby hydrologic stresses. Simulated hydrologic effects include cones of depression near pumping wells and water-table mounding near points of treated water recharge; however, remedial pumping amounts are balanced by treated-water return, and net effects at distant regional boundaries, including freshwater/saltwater interfaces, are minor.
Once a steady-state model was developed and calibrated, eight hypothetical remedial scenarios were evaluated to hydraulically contain the volatile organic-compound plumes. Specifically, the remedial scenarios were optimized to achieve full containment by altering the pumping-well locations, adjusting the pumping rates, and adjusting the discharge locations and rates. Based on the results, total hypothetical extraction rates varied from about 5,462 gallons per minute during an anticipated near-future condition to about 13,340 gallons per minute during full hydraulic containment of all site-related compounds identified by the New York State standards, criteria, and guidance for environmental investigations and cleanup. Targeting of high-concentration zones of the plume increases the total amount of remedial pumpage necessary to capture all parts of the plume but may decrease the total amount of time necessary to operate a remedial system. Simulated time frames of advective transport ranged from about 12 years to capture zones with elevated concentrations of volatile organic compounds (mean particle travel time plus the standard deviation of travel time) to more than 100 years to capture all zones.
Groundwater-flow model analysis indicates that all the optimal plume-containment scenarios would have negligible effects on streams and the saltwater-freshwater interface along the south shore of Long Island. Massapequa, Bellmore, Seaman, and Seaford Creeks are represented by using MODFLOW drain-boundary conditions. Saltwater-freshwater interfaces are represented by using MODFLOW general head-boundary conditions where the Magothy aquifer discharges upward into saline groundwater across the Gardiners clay confining unit and the Lloyd aquifer discharges upward into saline groundwater across the Raritan confining unit.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205090","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Misut, P.E., Walter, D., Schubert, C., and Dressler, S., 2020, Analysis of remedial scenarios affecting plume movement through a sole-source aquifer system, southeastern Nassau County, New York: U.S. Geological Survey Scientific Investigations Report 2020–5090, 83 p., https://doi.org/10.3133/sir20205090.","productDescription":"Report: vi, 83 p.; Data Release; 5 Figures","numberOfPages":"83","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-105143","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":380266,"rank":4,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2020/5090/sir20205090_figures.zip","text":"High-resolution figures","size":"159 MB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Figures 16, 18, 20, 22, and 24"},{"id":380264,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DOBQ8N","text":"USGS data release","linkHelpText":"MODFLOW–NWT and MODPATH6 model use to analyze remedial scenarios affecting plume movement through a sole-source aquifer system, southeastern Nassau County, New York"},{"id":380262,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5090/coverthb.jpg"},{"id":380263,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5090/sir20205090.pdf","text":"Report","size":"18.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5090"}],"country":"United States","state":"New York","county":"Nassau County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.87619018554688,\n 40.482470524589516\n ],\n [\n -73.289794921875,\n 40.482470524589516\n ],\n [\n -73.289794921875,\n 40.81796653313175\n ],\n [\n -73.87619018554688,\n 40.81796653313175\n ],\n [\n -73.87619018554688,\n 40.482470524589516\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349
We applied compound-specific sulfur isotope analysis (CSSIA) to organic matter (OM) extracted from ancient and immature organic-rich rocks from the Cretaceous Ghareb (Shefela Basin locality, Israel) and Miocene Monterey (Naples Beach locality, California, USA) Formations. Large variations in the δ34S values of different organosulfur compounds (OSCs), that reach up to 28‰ and 36‰, were observed in the Ghareb and Monterey samples, respectively. Additionally, some common OSCs in both locations showed consistent 34S trends relative to each other. The consistent enrichment in 34S of C35 hopane thiophene relative to iC20 thiophene in the studied sections probably resulted from differences in the timing of OM sulfurization. Reactive organic precursors quickly consume the most 34S-depleted reduced S, while less reactive species incorporate the heavier residual S at a later time. Despite the differences in the depositional environments, ages, and the initial δ34S values of the reduced S (represented by the δ34S of pyrite) between the Ghareb and the Monterey Formations, the sulfurization order of common organic compounds seems to be similar. All of the δ34S values of OSCs are 34S enriched relative to that of the coexisting pyrite with the exception of the C25 highly branched isoprenoid (HBI) thiophene in several samples from the Monterey Formation. The existence of 34S-depleted sulfurized HBI may point to OM sulfurization that occurred at or near the sediment-water interface during the deposition of the Monterey. Moreover, the δ34S of steroid sulfides shows an inverse trend with the pristane/phytane ratio, which may indicate that the sulfurization mechanism of these OSCs are affected by redox conditions. Further investigation of CSSI values in immature rocks from other basins may help constrain the OM sulfurization process, timescale, and depositional conditions and their possible use as paleoenvironmental proxies.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2020.01.034","usgsCitation":"Shawar, L., Said-Ahmad, W., Ellis, G.S., and Amrani, A., 2020, Sulfur isotope composition of individual compounds in immature organic-rich rocks and possible geochemical implications: Geochimica et Cosmochimica Acta, v. 274, p. 20-44, https://doi.org/10.1016/j.gca.2020.01.034.","productDescription":"25 p.","startPage":"20","endPage":"44","ipdsId":"IP-111549","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":385460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Santa Barbara, Oxnard","otherGeospatial":"Naples beach","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.14648437499999,\n 34.14363482031264\n ],\n [\n -119.036865234375,\n 34.14363482031264\n ],\n [\n -119.036865234375,\n 34.67839374011646\n ],\n [\n -120.14648437499999,\n 34.67839374011646\n ],\n [\n -120.14648437499999,\n 34.14363482031264\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"274","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shawar, Lubna","contributorId":177555,"corporation":false,"usgs":false,"family":"Shawar","given":"Lubna","email":"","affiliations":[],"preferred":false,"id":815173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Said-Ahmad, Ward","contributorId":257863,"corporation":false,"usgs":false,"family":"Said-Ahmad","given":"Ward","affiliations":[{"id":52141,"text":"Hebrew University of Jerusalem","active":true,"usgs":false}],"preferred":false,"id":815174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":815175,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amrani, Alon","contributorId":225213,"corporation":false,"usgs":false,"family":"Amrani","given":"Alon","affiliations":[{"id":41077,"text":"Research Center","active":true,"usgs":false}],"preferred":false,"id":815176,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70219071,"text":"70219071 - 2020 - Evidence of cosmic impact at Abu Hureyra, Syria at the Younger Dryas Onset (~12.8 ka): High-temperature melting at >2200 °C","interactions":[],"lastModifiedDate":"2021-03-23T14:59:27.83208","indexId":"70219071","displayToPublicDate":"2021-03-06T09:48:15","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of cosmic impact at Abu Hureyra, Syria at the Younger Dryas Onset (~12.8 ka): High-temperature melting at >2200 °C","docAbstract":"At Abu Hureyra (AH), Syria, the 12,800-year-old Younger Dryas boundary layer (YDB) contains peak abundances in meltglass, nanodiamonds, microspherules, and charcoal. AH meltglass comprises 1.6 wt.% of bulk sediment, and crossed polarizers indicate that the meltglass is isotropic. High YDB concentrations of iridium, platinum, nickel, and cobalt suggest mixing of melted local sediment with small quantities of meteoritic material. Approximately 40% of AH glass display carbon-infused, siliceous plant imprints that laboratory experiments show formed at a minimum of 1200°–1300 °C; however, reflectance-inferred temperatures for the encapsulated carbon were lower by up to 1000 °C. Alternately, melted grains of quartz, chromferide, and magnetite in AH glass suggest exposure to minimum temperatures of 1720 °C ranging to >2200 °C. This argues against formation of AH meltglass in thatched hut fires at 1100°–1200 °C, and low values of remanent magnetism indicate the meltglass was not created by lightning. Low meltglass water content (0.02–0.05% H2O) is consistent with a formation process similar to that of tektites and inconsistent with volcanism and anthropogenesis. The wide range of evidence supports the hypothesis that a cosmic event occurred at Abu Hureyra ~12,800 years ago, coeval with impacts that deposited high-temperature meltglass, melted microspherules, and/or platinum at other YDB sites on four continents.
","language":"English","publisher":"Springer","doi":"10.1038/s41598-020-60867-w","usgsCitation":"Moore, A., Kennett, J., Kennett, D., Napier, W.M., Bunch, T., Weaver, J., LeCompte, M.A., Adedji, V., Hackley, P.C., Lowenstern, J.B., Kletetschka, G.K., Culleton, B., Hermes, R., Wittke, J., Razink, J.J., Gaultois, M., and West, A., 2020, Evidence of cosmic impact at Abu Hureyra, Syria at the Younger Dryas Onset (~12.8 ka): High-temperature melting at >2200 °C: Scientific Reports, v. 10, 4185, 22 p., https://doi.org/10.1038/s41598-020-60867-w.","productDescription":"4185, 22 p.","ipdsId":"IP-106002","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":454592,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-020-60867-w","text":"Publisher Index Page"},{"id":384584,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Syria","otherGeospatial":"Abu Hureyra","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 37.034912109375,\n 36.27970720524017\n ],\n [\n 37.59521484375,\n 36.27970720524017\n ],\n [\n 37.59521484375,\n 36.686041276581925\n ],\n [\n 37.034912109375,\n 36.686041276581925\n ],\n [\n 37.034912109375,\n 36.27970720524017\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","noUsgsAuthors":false,"publicationDate":"2020-03-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Andrew M.T.","contributorId":255600,"corporation":false,"usgs":false,"family":"Moore","given":"Andrew M.T.","affiliations":[{"id":51599,"text":"1. College of Liberal Arts, Rochester Institute of Technology, Rochester, NY 14623; phone: (603) 319-8111","active":true,"usgs":false}],"preferred":false,"id":812644,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennett, James P.","contributorId":255601,"corporation":false,"usgs":false,"family":"Kennett","given":"James P.","affiliations":[{"id":51600,"text":"2. Department of Earth Science and Marine Science Institute, University of California, Santa Barbara, CA 93106; phone: (805) 683-8905","active":true,"usgs":false}],"preferred":false,"id":812645,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennett, Douglas J.","contributorId":255602,"corporation":false,"usgs":false,"family":"Kennett","given":"Douglas J.","affiliations":[{"id":51602,"text":"3. Department of Anthropology, Pennsylvania State University, University Park, PA 16802; Kennett phone: (814) 954-2445; Culleton phone: (814) 865-5342","active":true,"usgs":false}],"preferred":false,"id":812646,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Napier, William M.","contributorId":255603,"corporation":false,"usgs":false,"family":"Napier","given":"William","email":"","middleInitial":"M.","affiliations":[{"id":51603,"text":"4. Buckingham Centre for Astrobiology, University of Buckingham, Buckingham, UK; phone: +353 087 361 8376","active":true,"usgs":false}],"preferred":false,"id":812647,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bunch, Ted E.","contributorId":255604,"corporation":false,"usgs":false,"family":"Bunch","given":"Ted E.","affiliations":[{"id":51604,"text":"5. Geology Program, School of Earth Science and Environmental Sustainability, Northern Arizona University, Flagstaff, AZ 86011; Bunch phone: (928) 717-1916; Wittke phone: (928) 814-8187","active":true,"usgs":false}],"preferred":false,"id":812648,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weaver, James C.","contributorId":255605,"corporation":false,"usgs":false,"family":"Weaver","given":"James C.","affiliations":[{"id":51605,"text":"6. Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA 02138; phone: (805) 284-8869","active":true,"usgs":false}],"preferred":false,"id":812649,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"LeCompte, Malcolm A.","contributorId":255606,"corporation":false,"usgs":false,"family":"LeCompte","given":"Malcolm","email":"","middleInitial":"A.","affiliations":[{"id":51607,"text":"7. Elizabeth City State University, Center of Excellence in Remote Sensing Education and Research, Elizabeth City, NC 27909USGS, Menlo Park, California 94025, USA","active":true,"usgs":false}],"preferred":false,"id":812650,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Adedji, Victor","contributorId":255607,"corporation":false,"usgs":false,"family":"Adedji","given":"Victor","email":"","affiliations":[{"id":51608,"text":"8. Department of Natural Sciences, Elizabeth City State University, Elizabeth City, NC 27909","active":true,"usgs":false}],"preferred":false,"id":812651,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":812652,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":812653,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kletetschka, Gunther K.","contributorId":255609,"corporation":false,"usgs":false,"family":"Kletetschka","given":"Gunther","email":"","middleInitial":"K.","affiliations":[{"id":51610,"text":"11. Charles University, Faculty of Science, Czech Republic; Institute of Geology, Czech Academy of Science of the Czech Republic; and University of Alaska Fairbanks, Alaska, 903 Koyukuk Drive, 99775","active":true,"usgs":false}],"preferred":false,"id":812654,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Culleton, Brendan J.","contributorId":255610,"corporation":false,"usgs":false,"family":"Culleton","given":"Brendan J.","affiliations":[{"id":51611,"text":"3. Department of Anthropology, Pennsylvania State University, University Park, PA 16802; Kennett phone: (814) 954-2445; Culleton phone: (814) 865-5342.","active":true,"usgs":false}],"preferred":false,"id":812655,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hermes, Robert E.","contributorId":255611,"corporation":false,"usgs":false,"family":"Hermes","given":"Robert E.","affiliations":[{"id":51612,"text":"12. Los Alamos National Laboratory (retired), Los Alamos, NM 87545; phone: (505) 672-3162.","active":true,"usgs":false}],"preferred":false,"id":812656,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wittke, James H.","contributorId":255612,"corporation":false,"usgs":false,"family":"Wittke","given":"James H.","affiliations":[{"id":51613,"text":"5. Geology Program, School of Earth Science and Environmental Sustainability, Northern Arizona University, Flagstaff, AZ 86011; Bunch phone: (928) 717-1916; Wittke phone: (928) 814-8187.","active":true,"usgs":false}],"preferred":false,"id":812657,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Razink, Joshua J.","contributorId":255613,"corporation":false,"usgs":false,"family":"Razink","given":"Joshua","email":"","middleInitial":"J.","affiliations":[{"id":51614,"text":"13. Center for Advanced Materials Characterization at Oregon (CAMCOR), Univ. of Oregon, Eugene, OR 97403 USA","active":true,"usgs":false}],"preferred":false,"id":812658,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Gaultois, Michael","contributorId":255614,"corporation":false,"usgs":false,"family":"Gaultois","given":"Michael","email":"","affiliations":[],"preferred":false,"id":812659,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"West, Allen","contributorId":255615,"corporation":false,"usgs":false,"family":"West","given":"Allen","affiliations":[{"id":51615,"text":"14. Comet Research Group, Prescott, AZ; phone: (928) 632-7738","active":true,"usgs":false}],"preferred":false,"id":812660,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70218314,"text":"70218314 - 2020 - Geothermal play fairway analysis of the Sou Hills, northern Nevada: A major quaternary accommodation zone in the Great Basin region","interactions":[],"lastModifiedDate":"2021-04-19T14:04:45.076424","indexId":"70218314","displayToPublicDate":"2021-02-24T07:45:11","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geothermal play fairway analysis of the Sou Hills, northern Nevada: A major quaternary accommodation zone in the Great Basin region","docAbstract":"