{"pageNumber":"296","pageRowStart":"7375","pageSize":"25","recordCount":68835,"records":[{"id":70215404,"text":"70215404 - 2019 - Aluminum mobility in mildly acidic mine drainage: Interactions between hydrobasaluminite, silica and trace metals from the nano to the meso-scale","interactions":[],"lastModifiedDate":"2020-10-18T15:23:00.83267","indexId":"70215404","displayToPublicDate":"2019-04-22T10:15:57","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Aluminum mobility in mildly acidic mine drainage: Interactions between hydrobasaluminite, silica and trace metals from the nano to the meso-scale","docAbstract":"

Aluminum precipitates control the hydrochemistry and mineralogy of a broad variety of environments on Earth (e.g., acid mine drainage, AMD, coastal wetlands, boreal and alpine streams, tropical acid sulfate soils, laterites and bauxites, …). However, the geochemical and mineralogical processes controlling Al (and other associated metals and metalloids) transport and removal in those environments are not fully understood. The geochemical system of Paradise Portal (Colorado, USA) comprises sulfate-rich mildly acidic waters, the hydrochemistry of which is directly controlled by the massive precipitation of hydrobasaluminite Al4(SO4)(OH)10·12-36H2O. Three connected but discernible aluminum precipitation stages were identified and described: 1) nanoparticle formation and size decrease along the creek, 2) hydrobasaluminite neoformation on the riverbed, and 3) precipitate accretion and accumulation on the riverbed leading to Al and Fe banded formations. The co-occurrence of Al and Si in the system was observed, recording significant amounts of Si accompanying the three different components of the system (i.e., nanoparticles and fresh and aged Al-precipitates). Also, abrupt and minor changes in the sedimentary record were described and proposed to be the response of the system to seasonal and interannual changes in AMD chemistry. Concerning the mobility of other metals and metalloids, P, Th, V, W, Ti and B showed a tendency to be preferentially incorporated into hydrobasaluminite, while others like Be, As, Se or Ba tend to remain dissolved in the water.


","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2019.04.013","usgsCitation":"Caraballo, M.A., Wanty, R., Verplanck, P., Navarro-Valdivia, L., Ayora, C., and Hochella, M., 2019, Aluminum mobility in mildly acidic mine drainage: Interactions between hydrobasaluminite, silica and trace metals from the nano to the meso-scale: Chemical Geology, v. 519, p. 1-10, https://doi.org/10.1016/j.chemgeo.2019.04.013.","productDescription":"10 p.","startPage":"1","endPage":"10","ipdsId":"IP-107457","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":467681,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemgeo.2019.04.013","text":"Publisher Index Page"},{"id":379502,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"519","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Caraballo, Manuel A. 0000-0002-2041-0125","orcid":"https://orcid.org/0000-0002-2041-0125","contributorId":243326,"corporation":false,"usgs":false,"family":"Caraballo","given":"Manuel","email":"","middleInitial":"A.","affiliations":[{"id":33686,"text":"University of Chile","active":true,"usgs":false}],"preferred":false,"id":802057,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wanty, Richard B. 0000-0002-2063-6423","orcid":"https://orcid.org/0000-0002-2063-6423","contributorId":209899,"corporation":false,"usgs":true,"family":"Wanty","given":"Richard","middleInitial":"B.","affiliations":[],"preferred":true,"id":802058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verplanck, Philip 0000-0002-3653-6419","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":211010,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":802059,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Navarro-Valdivia, Leonardo","contributorId":243327,"corporation":false,"usgs":false,"family":"Navarro-Valdivia","given":"Leonardo","email":"","affiliations":[{"id":33686,"text":"University of Chile","active":true,"usgs":false}],"preferred":false,"id":802060,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ayora, Carlos 0000-0003-0238-7723","orcid":"https://orcid.org/0000-0003-0238-7723","contributorId":243328,"corporation":false,"usgs":false,"family":"Ayora","given":"Carlos","email":"","affiliations":[{"id":48689,"text":"Institute of Environmental Assessment and Water Research","active":true,"usgs":false}],"preferred":false,"id":802061,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hochella, Michael 0000-0002-8008-7235","orcid":"https://orcid.org/0000-0002-8008-7235","contributorId":243329,"corporation":false,"usgs":false,"family":"Hochella","given":"Michael","email":"","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":802062,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203640,"text":"70203640 - 2019 - Tracking legacy mercury in the Hackensack River Estuary using mercury stable isotopes","interactions":[],"lastModifiedDate":"2019-06-18T12:17:25","indexId":"70203640","displayToPublicDate":"2019-04-22T09:19:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2331,"text":"Journal of Hazardous Materials","active":true,"publicationSubtype":{"id":10}},"title":"Tracking legacy mercury in the Hackensack River Estuary using mercury stable isotopes","docAbstract":"Spatial redistribution of legacy mercury (Hg) contamination in the Hackensack River estuary (New Jersey, USA) was evaluated using mercury stable isotopes. Total Hg varied from 0.06 to 3.8 µg g-1 in sediment from the tidal Hackensack River and from 15 to 154 µg g-1 near historically contaminated sites in upper Berry's Creek, a tributary of the Hackensack River. delta202Hg values for total Hg from the Berry's Creek and Hackensack River estuaries varied over a fairly narrow range (-0.44‰ to -0.21‰), but were highest for sediment from upper Berry's Creek. Isotope mixing plots show that residual legacy mercury from upper Berry's Creek is partially diluted by a low concentration and low delta202Hg pool of mercury associated with low organic matter content sediments similar to those in Newark Bay. Based on an isotope mixing model, we estimate that upper Berry’s Creek contributes 21% to 82% of the mercury in sediments in the Hackensack River estuary and its tidal tributaries, including upstream marsh habitats far from the primary source. Our results show that mercury stable isotopes can be used to track the redistribution of mercury in tidal ecosystems and highlight the potentially large areas which may be affected by legacy mercury contamination in estuaries.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhazmat.2019.04.074","usgsCitation":"Reinfelder, J.R., and Janssen, S., 2019, Tracking legacy mercury in the Hackensack River Estuary using mercury stable isotopes: Journal of Hazardous Materials, v. 375, p. 121-129, https://doi.org/10.1016/j.jhazmat.2019.04.074.","productDescription":"9 p.","startPage":"121","endPage":"129","ipdsId":"IP-106971","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":364225,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey, New York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.34585571289062,\n 40.45948689837198\n ],\n [\n -73.6138916015625,\n 40.45948689837198\n ],\n [\n -73.6138916015625,\n 41.3757780692323\n ],\n [\n -74.34585571289062,\n 41.3757780692323\n ],\n [\n -74.34585571289062,\n 40.45948689837198\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"375","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Reinfelder, John R 0000-0002-3737-604X","orcid":"https://orcid.org/0000-0002-3737-604X","contributorId":215897,"corporation":false,"usgs":false,"family":"Reinfelder","given":"John","email":"","middleInitial":"R","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":763372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763371,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70215500,"text":"70215500 - 2019 - Shining light on the storm: In-stream optics reveal hysteresis of dissolved organic matter character","interactions":[],"lastModifiedDate":"2020-10-21T15:23:21.449406","indexId":"70215500","displayToPublicDate":"2019-04-20T10:11:51","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Shining light on the storm: In-stream optics reveal hysteresis of dissolved organic matter character","docAbstract":"

The quantity and character of dissolved organic matter (DOM) can change rapidly during storm events, affecting key biogeochemical processes, carbon bioavailability, metal pollutant transport, and disinfection byproduct formation during drinking water treatment. We used in situ ultraviolet–visible spectrophotometers to concurrently measure dissolved organic carbon (DOC) concentration and spectral slope ratio, a proxy for DOM molecular weight. Measurements were made at 15-minute intervals over three years in three streams draining primarily agricultural, urban, and forested watersheds. We describe storm event dynamics by calculating hysteresis indices for DOC concentration and spectral slope ratio for 220 storms and present a novel analytical framework that can be used to interpret these metrics together. DOC concentration and spectral slope ratio differed significantly among sites, and individual storm DOM dynamics were remarkably variable at each site and among the three sites. Distinct patterns emerged for storm DOM dynamics depending on land use/land cover (LULC) of each watershed. In agricultural and forested streams, DOC concentration increased after the time of peak discharge, and spectral slope ratio dynamics indicate that this delayed flux was of relatively higher molecular weight material compared to the beginning of each storm. In contrast, DOM character during storms at the urban stream generally shifted to lower molecular weight while DOC concentration increased on the falling limb, indicating either the introduction of lower molecular weight DOM, the exhaustion of a higher molecular weight DOM sources, or a combination of these factors. We show that the combination of high-frequency DOM character and quantity metrics have the potential to provide new insight into short-timescale DOM dynamics and can reveal previously unknown effects of LULC on the chemical nature, source, and timing of DOM export during storms.


","language":"English","publisher":"Springer","doi":"10.1007/s10533-019-00561-w","usgsCitation":"Vaughan, M., Bowden, W.B., Shanley, J.B., Vermilyea, A.W., and Schroth, A.W., 2019, Shining light on the storm: In-stream optics reveal hysteresis of dissolved organic matter character: Biogeochemistry, v. 143, p. 275-291, https://doi.org/10.1007/s10533-019-00561-w.","productDescription":"17 p.","startPage":"275","endPage":"291","ipdsId":"IP-106556","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":379591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.465576171875,\n 44.09547572946637\n ],\n [\n -72.410888671875,\n 44.09547572946637\n ],\n [\n -72.410888671875,\n 45.08127861241874\n ],\n [\n -73.465576171875,\n 45.08127861241874\n ],\n [\n -73.465576171875,\n 44.09547572946637\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"143","noUsgsAuthors":false,"publicationDate":"2019-04-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Vaughan, Matthew","contributorId":198999,"corporation":false,"usgs":false,"family":"Vaughan","given":"Matthew","email":"","affiliations":[{"id":17809,"text":"University of Vermont, Burlington","active":true,"usgs":false}],"preferred":false,"id":802516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bowden, William B.","contributorId":169388,"corporation":false,"usgs":false,"family":"Bowden","given":"William","email":"","middleInitial":"B.","affiliations":[{"id":6735,"text":"University of Vermont, Rubenstein School of Environment and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":802517,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":802518,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vermilyea, Andrew W.","contributorId":178909,"corporation":false,"usgs":false,"family":"Vermilyea","given":"Andrew","email":"","middleInitial":"W.","affiliations":[{"id":35721,"text":"Castleton University, Castleton, Vermont, USA","active":true,"usgs":false}],"preferred":false,"id":802519,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schroth, Andrew W.","contributorId":192042,"corporation":false,"usgs":false,"family":"Schroth","given":"Andrew","email":"","middleInitial":"W.","affiliations":[{"id":17809,"text":"University of Vermont, Burlington","active":true,"usgs":false}],"preferred":false,"id":802520,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203332,"text":"70203332 - 2019 - Temporal and abiotic fluctuations may be preventing successful rehabilitation of soil-stabilizing biocrust communities","interactions":[],"lastModifiedDate":"2019-07-23T13:45:15","indexId":"70203332","displayToPublicDate":"2019-04-20T09:05:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Temporal and abiotic fluctuations may be preventing successful rehabilitation of soil-stabilizing biocrust communities","docAbstract":"Land degradation is a persistent ecological problem in many arid and semi-arid systems globally (drylands hereafter). Most instances of dryland degradation include some form of soil disturbance and/or soil erosion, which can hinder vegetation establishment and reduce ecosystem productivity. To combat soil erosion, researchers have identified a need for rehabilitation of biological soil crusts (biocrusts), a globally-relevant community of organisms aggregating the soil surface and building soil fertility. The impact of plant and biocrust cover was tested on soil erosion potential in the piñon-juniper woodlands of Bandelier National Monument, NM. Biocrusts were found to be similarly influential to vascular plants in reducing erosion, largely acting by promoting surface roughness. The potential to rehabilitate biocrusts within the Monument was also tested. In a full factorial design, plots were inoculated on eroding soils before the summer monsoon with greenhouse-cultured biocrusts, and administered the erosion intervention treatments of overland water flow barriers (flashing), slash placement, and seeding of vascular plants. Although significant and dynamic changes to soil stability, penetration resistance, and extractable soil nutrients were observed through time, no strong effects with the addition of inoculum, seeding, or erosion intervention treatments were seen. These results suggest possible ways forward to successfully rehabilitate biocrust, including varying the timing of biocrust application, amending inoculum application with different types of soil stabilization techniques, and adding nutrients to soils. The insights gleaned from the lack of response brings us closer to developing effective techniques to arrest soil loss in these important social-ecological dryland systems.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1908","usgsCitation":"Young, K.E., Bowker, M.A., Reed, S.C., Duniway, M.C., and Belnap, J., 2019, Temporal and abiotic fluctuations may be preventing successful rehabilitation of soil-stabilizing biocrust communities: Ecological Applications, v. 29, no. 5, Article e01908, 38 p., https://doi.org/10.1002/eap.1908.","productDescription":"Article e01908, 38 p.","ipdsId":"IP-096954","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":437491,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P933W4QC","text":"USGS data release","linkHelpText":"Erosion and Rehabilitation Data, Bandelier National Monument, New Mexico, USA"},{"id":363524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Young, Kristina E.","contributorId":210572,"corporation":false,"usgs":false,"family":"Young","given":"Kristina","email":"","middleInitial":"E.","affiliations":[{"id":38116,"text":"Department of Biological Sciences, University of Texas at El Paso, El Paso, TX 79902, USA","active":true,"usgs":false}],"preferred":false,"id":762174,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bowker, Matthew A.","contributorId":196428,"corporation":false,"usgs":false,"family":"Bowker","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":762175,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":762173,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":762176,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":762177,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70215100,"text":"70215100 - 2019 - Risks of hydroclimatic regime shifts across the western United States","interactions":[],"lastModifiedDate":"2020-10-07T23:57:28.018685","indexId":"70215100","displayToPublicDate":"2019-04-19T18:48:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7146,"text":"Nature Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Risks of hydroclimatic regime shifts across the western United States","docAbstract":"

Paleohydrologic reconstructions of water-year streamflow for 105 sites across the western United States (West) were used to compute the likelihood (risk) of regime (wet/dry state) shifts given the length of time in a specific regime and for a specified time in the future. The spatial variability of risks was examined and indicates that regime shift risks are variable across the West. The Pacific-Northwest region is associated with low risks of regime shifts, indicating persistence controlled by prevalent low frequency variability in flow (periods above 64 years). Other areas in the West indicate higher risks compared to the Pacific-Northwest due to flow variability in the mid-to-high frequencies (periods of 32 to 16 years). Understanding risks of regime shifts provides critical information for improved management of water supplies, particularly during periods of extended low flows. The method presented here has global applicability as a decision-making framework for risk-based planning and management.

","language":"English","publisher":"Nature","doi":"10.1038/s41598-019-42692-y","usgsCitation":"Gangopadhyay, S., McCabe, G.J., Pederson, G.T., Martin, J.T., and Littell, J.S., 2019, Risks of hydroclimatic regime shifts across the western United States: Nature Scientific Reports, v. 9 p., 6303, 8 p., https://doi.org/10.1038/s41598-019-42692-y.","productDescription":"6303, 8 p.","ipdsId":"IP-101353","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":467682,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-019-42692-y","text":"Publisher Index Page"},{"id":379199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Montana, New Mexico, Nevada, Oregon, Utah, Washington, Wyoming","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-104.053249,41.001406],[-102.124972,41.002338],[-102.051292,40.749591],[-102.04192,37.035083],[-102.979613,36.998549],[-103.002247,36.911587],[-103.064423,32.000518],[-106.565142,32.000736],[-106.577244,31.810406],[-106.750547,31.783706],[-108.208394,31.783599],[-108.208573,31.333395],[-111.000643,31.332177],[-114.813613,32.494277],[-114.722746,32.713071],[-117.118868,32.534706],[-117.50565,33.334063],[-118.088896,33.729817],[-118.428407,33.774715],[-118.519514,34.027509],[-119.159554,34.119653],[-119.616862,34.420995],[-120.441975,34.451512],[-120.608355,34.556656],[-120.644311,35.139616],[-120.873046,35.225688],[-120.884757,35.430196],[-121.851967,36.277831],[-121.932508,36.559935],[-121.788278,36.803994],[-121.880167,36.950151],[-122.140578,36.97495],[-122.419113,37.24147],[-122.511983,37.77113],[-122.425942,37.810979],[-122.168449,37.504143],[-122.144396,37.581866],[-122.385908,37.908136],[-122.301804,38.105142],[-122.484411,38.11496],[-122.492474,37.82484],[-122.972378,38.020247],[-123.103706,38.415541],[-123.725367,38.917438],[-123.851714,39.832041],[-124.373599,40.392923],[-124.063076,41.439579],[-124.536073,42.814175],[-124.150267,43.91085],[-123.962887,45.280218],[-123.996766,46.20399],[-123.548194,46.248245],[-124.029924,46.308312],[-124.06842,46.601397],[-123.97083,46.47537],[-123.84621,46.716795],[-124.022413,46.708973],[-124.108078,46.836388],[-123.86018,46.948556],[-124.138035,46.970959],[-124.425195,47.738434],[-124.672427,47.964414],[-124.727022,48.371101],[-123.981032,48.164761],[-122.748911,48.117026],[-122.637425,47.889945],[-123.15598,47.355745],[-122.527593,47.905882],[-122.578211,47.254804],[-122.725738,47.33047],[-122.691771,47.141958],[-122.796646,47.341654],[-122.863732,47.270221],[-122.67813,47.103866],[-122.364168,47.335953],[-122.429841,47.658919],[-122.230046,47.970917],[-122.425572,48.232887],[-122.358375,48.056133],[-122.512031,48.133931],[-122.424102,48.334346],[-122.689121,48.476849],[-122.425271,48.599522],[-122.796887,48.975026],[-104.048736,48.999877],[-104.053249,41.001406]]],[[[-119.789798,34.05726],[-119.5667,34.053452],[-119.795938,33.962929],[-119.916216,34.058351],[-119.789798,34.05726]]],[[[-118.524531,32.895488],[-118.573522,32.969183],[-118.369984,32.839273],[-118.524531,32.895488]]],[[[-118.500212,33.449592],[-118.32446,33.348782],[-118.593969,33.467198],[-118.500212,33.449592]]],[[[-122.519535,48.288314],[-122.66921,48.240614],[-122.400628,48.036563],[-122.419274,47.912125],[-122.744612,48.20965],[-122.664928,48.374823],[-122.519535,48.288314]]],[[[-122.800217,48.60169],[-122.883759,48.418793],[-123.173061,48.579086],[-122.949116,48.693398],[-122.743049,48.661991],[-122.800217,48.60169]]]]},\"properties\":{\"name\":\"Arizona\",\"nation\":\"USA \"}}]}","volume":"9 p.","noUsgsAuthors":false,"publicationDate":"2019-04-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Gangopadhyay, Subhrendu 0000-0003-3864-8251","orcid":"https://orcid.org/0000-0003-3864-8251","contributorId":173439,"corporation":false,"usgs":false,"family":"Gangopadhyay","given":"Subhrendu","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":800863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":200854,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory","email":"gmccabe@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - 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2019 - Analysis and visualization of coastal ocean model data in the cloud","interactions":[],"lastModifiedDate":"2019-04-22T12:33:43","indexId":"70203098","displayToPublicDate":"2019-04-19T12:33:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2380,"text":"Journal of Marine Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Analysis and visualization of coastal ocean model data in the cloud","docAbstract":"The traditional flow of coastal ocean model data is from High Performance Computing (HPC) centers to the local desktop, or to a file server where just the data needed can be extracted via services such as OPeNDAP. Analysis and visualization is then conducted using local hardware and software. This requires moving large amounts of data across the internet as well as acquiring and maintaining local hardware, software and support personnel. Further, as data sets increase in size, the traditional workflow may not be scalable. Alternatively, recent advances make it possible to move data from HPC to the Cloud and perform interactive, scalable, data-proximate analysis and visualization, with simply a web browser user interface. We use the framework advanced by the NSF-funded Pangeo project, a free, open-source Python system which provides multi-user login via JupyterHub and parallel analysis via Dask, both running in Docker containers orchestrated by Kubernetes. Data is stored in the Zarr format, a Cloud-friendly ndarray format that allows performant extraction of data by anyone without relying on data services like OPeNDAP. Interactive visual exploration of data on massive model grids is made possible by new tools in the Python PyViz ecosystem, which can render maps at screen resolution, dynamically updating on pan and zoom operations. Two example are given: (1) calculating the maximum water level at each grid cell from a 53GB, 720 time step, 9 million node triangular mesh ADCIRC simulation of Hurricane Ike; (2) creating a dashboard for visualizing data from the curvilinear orthogonal COAWST/ROMS forecast model.","language":"English","publisher":"MDPI","doi":"10.3390/jmse7040110","usgsCitation":"Signell, R.P., and Pothina, D., 2019, Analysis and visualization of coastal ocean model data in the cloud: Journal of Marine Science and Engineering, v. 7, no. 4, 12 p., https://doi.org/10.3390/jmse7040110.","productDescription":"12 p.","ipdsId":"IP-106233","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467683,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/jmse7040110","text":"Publisher Index Page"},{"id":363105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"4","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Signell, Richard P. 0000-0003-0682-9613 rsignell@usgs.gov","orcid":"https://orcid.org/0000-0003-0682-9613","contributorId":140906,"corporation":false,"usgs":true,"family":"Signell","given":"Richard","email":"rsignell@usgs.gov","middleInitial":"P.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":761165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pothina, Dharhas","contributorId":214921,"corporation":false,"usgs":false,"family":"Pothina","given":"Dharhas","email":"","affiliations":[{"id":39137,"text":"U.S. Army Engineer Research and Development Center, Vicksburg, MS","active":true,"usgs":false}],"preferred":false,"id":761166,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70204362,"text":"70204362 - 2019 - Seasonal patterns in hydrochemical mixing in three Great Lakes rivermouth ecosystems","interactions":[],"lastModifiedDate":"2019-12-22T14:42:50","indexId":"70204362","displayToPublicDate":"2019-04-19T11:50:56","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal patterns in hydrochemical mixing in three Great Lakes rivermouth ecosystems","docAbstract":"Rivermouth ecosystems in the Laurentian Great Lakes represent complex hydrologic mixing zones where lake and river water combine to form biologically productive areas that are functionally similar to marine estuaries. As urban, industrial, shipping, and recreational centers, rivermouths are the focus of human interactions with the Great Lakes and, likewise, may represent critical habitat for larval fish and other biota. The hydrology and related geomorphology in these deltaic systems form the basis for ecosystem processes and wetland habitat structure but are poorly understood. To this end, a multidisciplinary team of scientists examined hydrogeomorphic structure and lake-tributary mixing in rivermouths using water chemistry, stable isotopes, and current profiling over a five-month period. Results showed that the maximum depth of the rivermouth ecosystem influenced mixing, with temperature-related, density-dependent wedging and layering that isolated lake water below river water occurring in deeper systems. The inherent size of the rivermouth ecosystem, local geomorphology, and human modifications such as shoreline armoring and dredging influenced mixing by altering the propensity for density differences to occur. The improved scientific understanding and framework for characterizing hydrogeomorphic processes in Great Lakes rivermouths across a disturbance gradient is useful for conservation, management, restoration, and protection of critical habitats needed by native species.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2019.03.009","usgsCitation":"Carlson-Mazur, M., Schaeffer, J., Granneman, J.E., Goldstrohm, N., Fitzpatrick, F.A., Larson, J.H., Reneau, P., Kowalski, K., and Seelbach, P., 2019, Seasonal patterns in hydrochemical mixing in three Great Lakes rivermouth ecosystems: Journal of Great Lakes Research, v. 45, no. 3, p. 651-663, https://doi.org/10.1016/j.jglr.2019.03.009.","productDescription":"13 p.","startPage":"651","endPage":"663","ipdsId":"IP-098670","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water 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0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":766529,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reneau, Paul 0000-0002-1335-7573","orcid":"https://orcid.org/0000-0002-1335-7573","contributorId":217293,"corporation":false,"usgs":true,"family":"Reneau","given":"Paul","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766530,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":766531,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Seelbach, Paul W.","contributorId":217294,"corporation":false,"usgs":false,"family":"Seelbach","given":"Paul W.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":766532,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70203338,"text":"70203338 - 2019 - Use of high-throughput screening results to prioritize chemicals for potential adverse biological effects within a West Virginia Watershed","interactions":[],"lastModifiedDate":"2019-06-18T11:56:03","indexId":"70203338","displayToPublicDate":"2019-04-19T09:57:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Use of high-throughput screening results to prioritize chemicals for potential adverse biological effects within a West Virginia Watershed","docAbstract":"Organic chemicals from industrial, agricultural, and residential activities can enter surface waters through regulated and unregulated discharges, combined sewer overflows, stormwater runoff, accidental spills, and leaking septic-conveyance systems on a daily basis. The impact of point and nonpoint contaminant sources can result in adverse biological effects for organisms living in or near surface waters. Assessing the adverse or toxic effects that may result when exposure occurs is complicated by the fact that many commonly used chemicals lack toxicity information or water quality standards. To address these challenges, an exposure-activity ratio (EAR) screening approach was used to prioritize environmental chemistry data in a West Virginia watershed (Wolf Creek). Wolf Creek is a drinking water source and recreation resource with documented water quality impacts from point and nonpoint sources. The EAR screening approach uses high-throughput screening (HTS) data from ToxCast as a method of integrating environmental chemical occurrence and biological effects data. Using water quality schedule 4433, which targets 69 organic waste compounds typically found in domestic and industrial wastewater, chemicals were screened for potential adverse biological affects at multiple sites in the Wolf Creek watershed. Cumulative EAR mixture values were greatest at Sites 2 and 3, where bisphenol A (BPA) and pentachlorophenol exhibited maximum EAR values of 0.05 and 0.002, respectively. Site 2 is downstream of an unconventional oil and gas (UOG) wastewater disposal facility with documented water quality impacts. Low-level organic contaminants were found at all sample sites in Wolf Creek, except Site 10, where Wolf Creek enters the New River. The application of an EAR screening approach allowed our study to extend beyond traditional environmental monitoring methods to identify multiple sites and chemicals that warrant further investigation.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.04.180","usgsCitation":"Rose, L.D., Akob, D., Tuberty, S., Colby, J., Martin, D., Corsi, S., and DeCicco, L., 2019, Use of high-throughput screening results to prioritize chemicals for potential adverse biological effects within a West Virginia Watershed: Science of the Total Environment, no. 677, p. 362-372, https://doi.org/10.1016/j.scitotenv.2019.04.180.","productDescription":"11 p.","startPage":"362","endPage":"372","ipdsId":"IP-091924","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467684,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2019.04.180","text":"Publisher Index Page"},{"id":363530,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.18244171142578,\n 37.96436543997759\n ],\n [\n -81.03618621826172,\n 37.96436543997759\n ],\n [\n -81.03618621826172,\n 38.05849936120462\n ],\n [\n -81.18244171142578,\n 38.05849936120462\n ],\n [\n -81.18244171142578,\n 37.96436543997759\n ]\n ]\n ]\n }\n }\n ]\n}","issue":"677","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rose, Levi D.","contributorId":215376,"corporation":false,"usgs":false,"family":"Rose","given":"Levi","email":"","middleInitial":"D.","affiliations":[{"id":36626,"text":"Appalachian State University","active":true,"usgs":false}],"preferred":false,"id":762199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Akob, Denise","contributorId":215375,"corporation":false,"usgs":true,"family":"Akob","given":"Denise","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":762198,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tuberty, Shea","contributorId":215377,"corporation":false,"usgs":false,"family":"Tuberty","given":"Shea","email":"","affiliations":[{"id":36626,"text":"Appalachian State University","active":true,"usgs":false}],"preferred":false,"id":762200,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Colby, Jeff","contributorId":215378,"corporation":false,"usgs":false,"family":"Colby","given":"Jeff","email":"","affiliations":[{"id":36626,"text":"Appalachian State University","active":true,"usgs":false}],"preferred":false,"id":762201,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, Derek","contributorId":215379,"corporation":false,"usgs":false,"family":"Martin","given":"Derek","email":"","affiliations":[{"id":36626,"text":"Appalachian State University","active":true,"usgs":false}],"preferred":false,"id":762202,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Corsi, Steven","contributorId":215380,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762203,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DeCicco, Laura 0000-0002-3915-9487 ldecicco@usgs.gov","orcid":"https://orcid.org/0000-0002-3915-9487","contributorId":215381,"corporation":false,"usgs":true,"family":"DeCicco","given":"Laura","email":"ldecicco@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762204,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70202389,"text":"sir20185170 - 2019 - Drinking water health standards comparison and chemical analysis of groundwater for 72 domestic wells in Bradford County, Pennsylvania, 2016","interactions":[],"lastModifiedDate":"2019-06-12T10:00:24","indexId":"sir20185170","displayToPublicDate":"2019-04-19T08:45:00","publicationYear":"2019","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":"2018-5170","displayTitle":"Drinking Water Health Standards Comparison and Chemical Analysis of Groundwater for 72 Domestic Wells in Bradford County, Pennsylvania, 2016","title":"Drinking water health standards comparison and chemical analysis of groundwater for 72 domestic wells in Bradford County, Pennsylvania, 2016","docAbstract":"

Pennsylvania has the second highest number of residential wells of any state in the Nation with approximately 2.4 million residents that depend on groundwater for their domestic water supply. Despite the widespread reliance on groundwater in rural areas of the state, publicly available data to characterize the quality of private well water are limited. In Bradford County, more than half of the residents use groundwater from private domestic-supply wells as their primary drinking source. The quality of private well water is influenced by the regional and local setting, including the surrounding soil, geology, land use, household plumbing, and well construction. The groundwater used for domestic water supply in Bradford County is obtained primarily from shallow bedrock and from unconsolidated (glacial) deposits that overlie the bedrock. Historical land use has been predominately forested, agricultural, and residential, but more recently unconventional oil/gas development has been distributed throughout the landscape. Pennsylvania is one of only two states in the Nation without statewide water-well construction standards.

To better assess the quality of groundwater used for drinking water supply in Bradford County, data for 72 domestic wells were collected and analyzed for a wide range of constituents that could be evaluated in relation to drinking water health standards, geology, land use, and other environmental factors. Groundwater samples were collected from May through August 2016 and analyzed for physical and chemical properties, including major ions, nutrients, trace elements, volatile organic compounds, ethylene and propylene glycol, alcohols, gross-alpha/beta-particle activity, uranium, radon-222, and dissolved gases. A subset of samples was analyzed for radium isotopes (radium-226 and -228) and for the isotopic composition of methane. This study was conducted by the U.S. Geological Survey in cooperation with the Northern Tier Regional Planning and Development Commission and is part of a regional effort to characterize groundwater in rural areas of Pennsylvania.

Results of the 2016 study show that groundwater quality generally met most drinking-water standards. However, a percentage of samples failed to meet maximum contaminant levels (MCLs) for total coliform bacteria (49.3 percent), Escherichia coli (8.5 percent), barium (2.8 percent), and arsenic (2.8 percent); and secondary maximum contaminant levels (SMCL) for sodium (48.6 percent), manganese (30.6 percent), gross alpha and beta activity (16.7 percent), iron (11.1 percent), pH (8.3 percent), total dissolved solids (5.6 percent), chloride (1.4 percent), and aluminum (1.4 percent). Radon-222 activities exceeded the proposed drinking-water standard of 300 picocuries per liter (pCi/L) in 70.4 percent of the samples. There were no exceedances of drinking water health standards for any volatile organic compounds, and the only detections were for three trihalomethanes in one sample.

The pH of the groundwater had a large influence on chemical characteristics and ranged from 6.18 to 9.31. Generally, the higher pH samples had higher potential for elevated concentrations of several constituents, including total dissolved solids, sodium, lithium, chloride, fluoride, boron, arsenic, and methane. For the Bradford County well-water samples, calcium/bicarbonate type waters were most abundant, with others classified as sodium/bicarbonate or mixed water types including calcium-sodium/bicarbonate, calcium-sodium/bicarbonate-chloride, sodium/bicarbonate-chloride, sodium/bicarbonate-sulfate, or sodium/chloride types. Six principal components (pH, redox, hardness, chloride-bromide, strontium-barium, and molybdenum-arsenic) explained nearly 78.3 percent of the variance in the groundwater dataset.

Groundwater from 12.5 percent of the wells had concentrations of methane greater than the Pennsylvania action level of 7 milligrams per liter (mg/L); detectable methane concentrations ranged from 0.01 to 77 mg/L. In addition, low levels of ethane (as much as 0.13 mg/L) were present in seven samples with the highest methane concentrations. The isotopic composition of methane in five of these groundwater samples was consistent with the isotopic compositions reported for mud-gas logging samples from these geologic units and a thermogenic source. Isotopic composition from a sixth sample suggested the methane in that sample may be of microbial origin. Well-water samples with the higher methane concentrations also had higher pH values and elevated concentrations of sodium, lithium, boron, fluoride, arsenic, and bromide. Relatively elevated concentrations of some other constituents, such as barium and chloride, commonly were present in, but not limited to, those well-water samples with elevated methane.

Four of the six groundwater samples with the highest methane concentrations had chloride/bromide ratios that indicate mixing with a small amount of brine (0.02 percent or less) similar in composition to those reported for gas and oil well brines in Pennsylvania. In several other eastern Pennsylvania counties where gas drilling is absent, groundwater with comparable chloride/bromide ratios and chloride concentrations have been reported, implying a potential natural source of brine. Most of Bradford County well-water samples have chloride concentrations less than 20 mg/L, and those with higher chloride concentrations have chloride/bromide ratios that indicate anthropogenic sources (such as road-deicing salt and septic effluent) or brine. Brines that are naturally present may originate from deeper parts of the aquifer system, whereas anthropogenic sources are more likely to affect shallow groundwater because they occur on or near the land surface.

The available data for this study indicate that no one physical factor, such as the topographic setting, well depth, or altitude at the bottom of the well, was particularly useful for predicting those well locations with an elevated dissolved concentration of methane. The 2016 assessment of groundwater quality in Bradford County shows groundwater is generally of good quality, but methane and some constituents that occur in high concentration in naturally occurring brine and also in produced waters may be present at low to moderate concentrations in groundwater in various parts of the aquifer.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185170","collaboration":"Prepared in cooperation with the Northern Tier Regional Planning and Development Commission","usgsCitation":"Clune, J.W., and Cravotta, C.A., III, 2019, Drinking water health standards comparison and chemical analysis of groundwater for 72 domestic wells in Bradford County, Pennsylvania, 2016 (ver 1.2, May 30, 2019): U.S. Geological Survey Scientific Investigations Report 2018–5170, 66 p., https://doi.org/10.3133/sir20185170.","productDescription":"Report: vi, 66 p.; Data Release","numberOfPages":"76","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-098593","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":363039,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5170/coverthb4.jpg"},{"id":363132,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2018/5170/versionHist.txt","text":"Version History","size":"1.24 KB","linkFileType":{"id":2,"text":"txt"}},{"id":363047,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VRV6US","text":"USGS data release","description":"USGS data release","linkHelpText":"Compilation of Data Not Available in the National Water Information System for Domestic Wells Sampled by the U.S. Geological Survey in Bradford County, Pennsylvania, May-August 2016"},{"id":363040,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5170/sir20185170.pdf","text":"Report","size":"8.01 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5170"}],"country":"United States","state":"Pennsylvania","county":"Bradford County ","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-76.9291,42.0024],[-76.9095,42.0025],[-76.8966,42.0026],[-76.6476,42.0019],[-76.6334,42.0017],[-76.5964,42.0013],[-76.5618,42.0009],[-76.5531,42.0008],[-76.5229,42.0005],[-76.466,41.9999],[-76.3826,41.9989],[-76.1467,41.9991],[-76.1382,41.898],[-76.1336,41.8467],[-76.1285,41.7935],[-76.1258,41.773],[-76.1219,41.7217],[-76.1171,41.6531],[-76.1959,41.648],[-76.1996,41.6467],[-76.2015,41.6435],[-76.2015,41.6426],[-76.2015,41.6408],[-76.2016,41.6353],[-76.2016,41.6344],[-76.2023,41.6335],[-76.2029,41.6322],[-76.2063,41.6145],[-76.209,41.6004],[-76.2091,41.5982],[-76.2184,41.5579],[-76.2217,41.5447],[-76.2383,41.5458],[-76.2432,41.5463],[-76.2487,41.5468],[-76.3277,41.5526],[-76.4454,41.5608],[-76.5,41.5649],[-76.5975,41.5715],[-76.6367,41.5745],[-76.6478,41.5755],[-76.6619,41.5765],[-76.679,41.578],[-76.6938,41.579],[-76.6993,41.5795],[-76.7496,41.5834],[-76.7569,41.5839],[-76.787,41.5872],[-76.7949,41.5882],[-76.8005,41.5887],[-76.8103,41.5896],[-76.8133,41.5901],[-76.8219,41.5911],[-76.8379,41.593],[-76.8747,41.5968],[-76.8747,41.599],[-76.8805,41.6363],[-76.8833,41.6681],[-76.8838,41.6717],[-76.885,41.6781],[-76.8873,41.6999],[-76.8907,41.7267],[-76.8936,41.7503],[-76.8976,41.783],[-76.8987,41.8007],[-76.8993,41.808],[-76.9022,41.8248],[-76.9022,41.8257],[-76.9051,41.8466],[-76.9162,41.918],[-76.9209,41.9507],[-76.9238,41.9711],[-76.9291,42.0024]]]},\"properties\":{\"name\":\"Bradford\",\"state\":\"PA\"}}]}","edition":"Version 1.2: May 30, 2019; Version 1.1: April 23, 2019; Version 1.0: April 19, 2019","contact":"

Director, Pennsylvania Water Science Center
U.S. Geological Survey
215 Limekiln Road
New Cumberland, PA 17070

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2019-04-19","revisedDate":"2019-05-30","noUsgsAuthors":false,"publicationDate":"2019-04-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Clune, John W. 0000-0002-3563-1975","orcid":"https://orcid.org/0000-0002-3563-1975","contributorId":205148,"corporation":false,"usgs":true,"family":"Clune","given":"John W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":758151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":207249,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":758152,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70203560,"text":"70203560 - 2019 - GRACE storage change characteristics (2003–2016) over major surface basins and principal aquifers in the Conterminous United States","interactions":[],"lastModifiedDate":"2019-05-22T16:29:42","indexId":"70203560","displayToPublicDate":"2019-04-18T16:19:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"GRACE storage change characteristics (2003–2016) over major surface basins and principal aquifers in the Conterminous United States","docAbstract":"In this research, we characterized the changes in Gravity Recovery and Climate Experiment’s (GRACE) monthly total water storage anomaly (TWSA) in 18 surface basins and 12 principal aquifers in the Conterminous United States (CONUS) over 2003–2016. Regions with high variability in storage were identified. Ten basins and 4 aquifers showed significant change in storage. Eight surface basins and 8 aquifers were found to show decadal stability in storage. A pixel-based analysis of storage showed that New England basin and North Atlantic Coastal Plain aquifer showed the largest area under positive storage change. Whereas, the Lower Colorado basin and California aquifers showed largest area under negative change. This study found that historically wetter regions (with more storage) are becoming wetter and dryer regions (with less storage) are becoming dryer. Fourier analysis of the GRACE data showed that while all basins exhibited prominent annual periodicities, significant sub-annual and multi-annual cycles also exist in some basins. The storage turnover period was estimated to range between 6 to 12 months. The primary explanatory variable (PEV) of TWSA was identified for each region. This study provides new insights on several aspects of basin or aquifer storage that are important for understanding basin/aquifer hydrology.","language":"English","publisher":"MDPI","doi":"10.3390/rs11080936","usgsCitation":"Velpuri, N.M., Senay, G., Driscoll, J.M., Saxe, S., Hay, L., Farmer, W.H., and Kiang, J.E., 2019, GRACE storage change characteristics (2003–2016) over major surface basins and principal aquifers in the Conterminous United States: Remote Sensing, v. 936, no. 11, p. 1-22, https://doi.org/10.3390/rs11080936.","productDescription":"22 p.","startPage":"1","endPage":"22","ipdsId":"IP-104603","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":467686,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs11080936","text":"Publisher Index Page"},{"id":364103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364091,"type":{"id":15,"text":"Index Page"},"url":"https://www.mdpi.com/2072-4292/11/8/936"}],"country":"United States","volume":"936","issue":"11","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Velpuri, Naga Manohar 0000-0002-6370-1926 nvelpuri@usgs.gov","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":166813,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga","email":"nvelpuri@usgs.gov","middleInitial":"Manohar","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":763152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":166812,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":763153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Driscoll, Jessica M. 0000-0003-3097-9603 jdriscoll@usgs.gov","orcid":"https://orcid.org/0000-0003-3097-9603","contributorId":167585,"corporation":false,"usgs":true,"family":"Driscoll","given":"Jessica","email":"jdriscoll@usgs.gov","middleInitial":"M.","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},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763154,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saxe, Samuel 0000-0003-1151-8908","orcid":"https://orcid.org/0000-0003-1151-8908","contributorId":215753,"corporation":false,"usgs":true,"family":"Saxe","given":"Samuel","email":"","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":763155,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hay, Lauren E. 0000-0003-3763-4595","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":211478,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren E.","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":763156,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Farmer, William H. 0000-0002-2865-2196 wfarmer@usgs.gov","orcid":"https://orcid.org/0000-0002-2865-2196","contributorId":4374,"corporation":false,"usgs":true,"family":"Farmer","given":"William","email":"wfarmer@usgs.gov","middleInitial":"H.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"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":763157,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kiang, Julie E. 0000-0003-0653-4225 jkiang@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-4225","contributorId":2179,"corporation":false,"usgs":true,"family":"Kiang","given":"Julie","email":"jkiang@usgs.gov","middleInitial":"E.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":763158,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70200529,"text":"sir20185139 - 2019 - Use of a Numerical Model to Simulate the Hydrologic System and Transport of Contaminants Near Joint Base Cape Cod, Western Cape Cod, Massachusetts","interactions":[],"lastModifiedDate":"2019-04-19T16:03:43","indexId":"sir20185139","displayToPublicDate":"2019-04-18T13:30:00","publicationYear":"2019","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":"2018-5139","displayTitle":"Use of a Numerical Model to Simulate the Hydrologic System and Transport of Contaminants Near Joint Base Cape Cod, Western Cape Cod, Massachusetts","title":"Use of a Numerical Model to Simulate the Hydrologic System and Transport of Contaminants Near Joint Base Cape Cod, Western Cape Cod, Massachusetts","docAbstract":"

Historical training and operational activities at Joint Base Cape Cod (JBCC) on western Cape Cod, Massachusetts, have resulted in the release of contaminants into an underlying glacial aquifer that is the sole source of water to the surrounding communities. Remedial systems have been installed to contain and remove contamination from the aquifer. Groundwater withdrawals for public supply are expected to increase as the region continues to urbanize. Increases in water-supply withdrawals and wastewater return flow likely will affect the hydrologic system around JBCC and could affect the transport of any contamination that may remain in the aquifer following remediation of contamination from the JBCC. The U.S. Geological Survey, in cooperation with the Air Force Civil Engineer Center, developed a numerical, steady-state regional model of the Sagamore flow lens on western Cape Cod and evaluated the potential effects of future (2030) groundwater withdrawals on water levels, streamflows, hydraulic gradients, and advective transport near the JBCC.

The aquifer consists generally of sandy sediments underlain by impermeable bedrock and is bounded laterally by a freshwater/saltwater interface. Data on the altitude of the bedrock surface, position of the freshwater/saltwater interface, lithology of the aquifer, spatial distribution of recharge, and hydrologic boundaries were incorporated into the three-dimensional, finite-difference groundwater flow model.

Some inputs into the numerical model—aquifer properties, leakances, and recharge—are represented as parameters to facilitate estimation of optimal parameter values in an inverse calibration. A hybrid parameterization scheme, with both zones of piecewise constancy and pilot points, is used to represent hydraulic conductivity; other adjustable parameters include recharge, boundary leakance, and porosity. Data on water levels, the distribution of subsurface contamination, and groundwater ages were compiled, evaluated, and used to develop observations of long-term average hydraulic gradients and advective-transport patterns. These observations of steady-state hydrologic conditions were combined with the parameterized groundwater model in an inverse calibration to estimate model parameters that best fit the observations.

Current (2010) and future (2030) conditions were simulated in the calibrated model to characterize the groundwater flow system and to determine potential effects of increased groundwater withdrawals on advective-transport patterns at the JBCC. Groundwater flow and advective transport are radially outward from a water-table divide in the northern part of the JBCC; flow diverges from the divide toward all points of the compass. Most groundwater flow and contaminant transport occur in shallow parts of the aquifer. On average, about one-half of the groundwater flux occurs in the shallowest 20 percent of the saturated thickness; shallow flow is even more predominant near streams and lakes. Projected (2030) increases in groundwater withdrawals decrease water levels by a maximum of about 1.2 feet in the northern part of the JBCC; drawdowns exceeding 1 foot generally are limited to areas near the largest increases in withdrawals, such as in the northern part of the JBCC, near Long Pond in Falmouth, and in eastern Barnstable. Streamflow decreases average about 6 percent; the largest decreases are in areas with the largest drawdowns. Changes in hydraulic-gradient directions at the water table exceed 1 degree in about 13 percent of the aquifer, generally near groundwater divides where gradient magnitudes are small and near large groundwater withdrawals. Predictions of advective transport from randomly selected locations at the water table are similar for current (2010) and future (2030) groundwater withdrawals. The results indicate that projected increases in groundwater withdrawals affect water levels and streamflows, but effects on hydraulic gradients and advective transport at the JBCC likely are small.

Several underlying assumptions inherent in the model, including observations and weights used in the calibration, representation of local-scale heterogeneity, and simulation of the freshwater/saltwater interface, could affect model calibration and predictions; these assumptions were evaluated with alternative models and alternative inverse calibrations. Eight alternative calibrations were performed in which different, but reasonable, observations and weights were used. The preferred calibrated model had the best overall fit to the observations.

Fine-grained silty sediments occur in many parts of the aquifer, and silt lenses can locally affect hydraulic gradients. A set of alternative models in which silts were represented with different correlation distances and hydraulic conductivities indicated that explicitly representing silt lenses could affect model calibration but that the implicit representation of local-scale heterogeneity may be sufficient at the regional scale to represent regional-scale hydraulic gradients. For the coastal boundary, two alternative models representing silty and sandy seabeds and their associated interface positions were developed to test the importance of the assumed coastal-boundary condition. The two alternative models resulted in different predictions of streamflow—streamflows increase with smaller (silty) seabed leakances. However, predictions of advective transport, particularly near the JBCC, generally were similar between the alternative and preferred calibrated models, indicating that the seabed leakance and associated interface position at the coastal boundary does not affect simulations of advective transport in inland parts of the aquifer.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185139","collaboration":"Prepared in cooperation with the Air Force Civil Engineer Center","usgsCitation":"Walter, D.A., McCobb, T.D., and Fienen, M.N., 2019, Use of a numerical model to simulate the hydrologic system and transport of contaminants near Joint Base Cape Cod, western Cape Cod, Massachusetts: U.S. Geological Survey Scientific Investigations Report 2018–5139, 98 p., https://doi.org/10.3133/sir20185139.","productDescription":"Report: xi, 98 p.; Data Release","numberOfPages":"114","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-077209","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":362939,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77P8XCT ","text":"USGS data release ","description":"USGS data release ","linkHelpText":"MODFLOW–2005 and MODPATH Used to Simulate the Hydrologic System and Transport of Contaminants Near Joint Base Cape Cod, Western Cape Cod, Massachusetts"},{"id":437495,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77P8XCT","text":"USGS data release","linkHelpText":"MODFLOW2005 and MODPATH used to simulate the hydrologic system and transport contaminants near Joint Base Cape Cod, Western Cape Cod, Massachusetts"},{"id":362937,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5139/coverthb2.jpg"},{"id":362938,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5139/sir20185139.pdf","text":"Report","size":"43.8 MB ","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5139"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Cape Cod","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.026611328125,\n 41.21172151054787\n ],\n [\n -69.840087890625,\n 41.21172151054787\n ],\n [\n -69.840087890625,\n 42.21224516288584\n ],\n [\n -71.026611328125,\n 42.21224516288584\n ],\n [\n -71.026611328125,\n 41.21172151054787\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, New England Water Science Center
U.S. Geological Survey
331 Commerce Way, Suite 2
Pembroke, NH 03275

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2019-04-18","noUsgsAuthors":false,"publicationDate":"2019-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Walter, Donald A. 0000-0003-0879-4477 dawalter@usgs.gov","orcid":"https://orcid.org/0000-0003-0879-4477","contributorId":1101,"corporation":false,"usgs":true,"family":"Walter","given":"Donald","email":"dawalter@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":749376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCobb, Timothy D. 0000-0003-1533-847X","orcid":"https://orcid.org/0000-0003-1533-847X","contributorId":209977,"corporation":false,"usgs":true,"family":"McCobb","given":"Timothy D.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":749377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fienen, Michael N. 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":105948,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":749378,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202511,"text":"sir20195014 - 2019 - Groundwater-Level Elevations in the Denver Basin Bedrock Aquifers of Elbert County, Colorado, 2015–18","interactions":[],"lastModifiedDate":"2019-04-19T14:04:15","indexId":"sir20195014","displayToPublicDate":"2019-04-18T12:40:00","publicationYear":"2019","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":"2019-5014","title":"Groundwater-Level Elevations in the Denver Basin Bedrock Aquifers of Elbert County, Colorado, 2015–18","docAbstract":"

Public and domestic water supplies in Elbert County, Colorado, rely on groundwater withdrawals from five bedrock aquifers in the Denver Basin aquifer system (lower Dawson, upper Dawson, Denver, Arapahoe, and Laramie-Fox Hills) to meet water demands. Increased pumping in response to regional population growth and development has led to declining groundwater levels in neighboring Douglas County. The U.S. Geological Survey, in cooperation with the Elbert County Board of County Commissioners, began a study in 2015 to monitor groundwater levels within Elbert County. The purpose of this study is to report on groundwater levels measured between April 2015 and June 2018, and analyze trends and changes in groundwater-level elevations throughout the county.

Discrete groundwater levels were measured at 42 wells within Elbert County. Six of those wells contained equipment to make and record continuous groundwater-level measurements at hourly intervals. All five aquifers had wells with a rise in groundwater-level elevation and wells with a decline in groundwater-level elevation, based on a relative change in groundwater-level elevation between the April 2015 and April 2018 measurements. All aquifers except the upper Dawson had more wells with significant negative trends in discrete groundwater-level elevations than significant positive trends; however, at least one well within the upper Dawson, lower Dawson, Arapahoe, and Laramie-Fox Hills aquifers had a significant positive trend. Wells screened in the lower Dawson aquifer consistently had the most significant negative trends, with an average trend of −1.96 feet per year (ft/year). The upper Dawson, Denver, Arapahoe, and Laramie-Fox Hills aquifers had average trends of 0.03 ft/year, −1.04 ft/year, −0.46 ft/year, and −0.65 ft/year, respectively. Trends in continuous groundwater-level elevations were in agreement with significant trends in discrete groundwater-level elevations. Potentiometric-surface maps of the upper and lower Dawson aquifers for April 2015 and April 2018 show that differences in hydraulic head from the two measurement periods were greatest along the western part of Elbert County. Results of this study could guide future groundwater monitoring in the county and aid in long-term planning of water resources.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195014","collaboration":"Prepared in cooperation with the Elbert County Board of County Commissioners","usgsCitation":"Penn, C.A., and Everett, R.R., 2019, Groundwater-level elevations in the Denver Basin bedrock aquifers of Elbert County, Colorado, 2015–18: U.S. Geological Survey Scientific Investigations Report 2019–5014, 50 p., \nhttps://doi.org/10.3133/sir20195014.","productDescription":"viii, 50 p.","numberOfPages":"62","onlineOnly":"Y","ipdsId":"IP-100822","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":363023,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5014/coverthb.jpg"},{"id":363024,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5014/sir20195014.pdf","text":"Report","size":"11.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5014"}],"country":"United States","state":"Colorado","county":"Elbert County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-103.7126,39.5649],[-103.713,39.4761],[-103.7135,39.3876],[-103.7138,39.3011],[-103.7136,39.2136],[-103.7145,39.1265],[-103.7211,39.1266],[-103.722,39.0401],[-103.7201,38.9503],[-103.7186,38.8655],[-103.8315,38.867],[-103.9414,38.8666],[-104.0549,38.8666],[-104.0544,38.9528],[-104.0538,39.0407],[-104.0521,39.1264],[-104.166,39.1277],[-104.2733,39.1278],[-104.3854,39.1284],[-104.4958,39.1298],[-104.6072,39.1307],[-104.6642,39.1308],[-104.6638,39.2165],[-104.664,39.3026],[-104.663,39.3892],[-104.6626,39.4762],[-104.6627,39.5665],[-104.6054,39.5663],[-104.5374,39.5655],[-104.4927,39.5636],[-104.4891,39.5636],[-104.4742,39.5629],[-104.3841,39.5627],[-104.3763,39.5631],[-104.2695,39.5639],[-104.2647,39.5638],[-104.1602,39.5646],[-104.1543,39.565],[-104.0468,39.5652],[-104.0427,39.5651],[-103.9305,39.5646],[-103.9293,39.5646],[-103.8189,39.5646],[-103.8129,39.5649],[-103.7126,39.5649]]]},\"properties\":{\"name\":\"Elbert\",\"state\":\"CO\"}}]}","contact":"

Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, MS 415
Denver, CO 80225

","tableOfContents":"","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2019-04-18","noUsgsAuthors":false,"publicationDate":"2019-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Penn, Colin A. 0000-0002-5195-2744 cpenn@usgs.gov","orcid":"https://orcid.org/0000-0002-5195-2744","contributorId":5336,"corporation":false,"usgs":true,"family":"Penn","given":"Colin","email":"cpenn@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761088,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Everett, Rhett R. 0000-0001-7983-6270 reverett@usgs.gov","orcid":"https://orcid.org/0000-0001-7983-6270","contributorId":843,"corporation":false,"usgs":true,"family":"Everett","given":"Rhett R.","email":"reverett@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":761089,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70203345,"text":"70203345 - 2019 - Strontium isotopes reveal ephemeral streams used for spawning and rearing by an imperiled potamodromous cyprinid--Clear Lake hitch Lavinia exilicauda chi","interactions":[],"lastModifiedDate":"2019-05-07T09:20:47","indexId":"70203345","displayToPublicDate":"2019-04-18T09:15:10","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2681,"text":"Marine and Freshwater Research","active":true,"publicationSubtype":{"id":10}},"title":"Strontium isotopes reveal ephemeral streams used for spawning and rearing by an imperiled potamodromous cyprinid--Clear Lake hitch Lavinia exilicauda chi","docAbstract":"

Identification of habitats responsible for the successful production and recruitment of rare migratory species is a challenge in conservation biology. Here, a tool was developed to assess life stage linkages for the threatened potamodromous cyprinid Clear Lake hitch Lavinia exilicauda chi. Clear Lake hitch undertake migrations from Clear Lake (Lake County, CA, USA) into ephemeral tributary streams for spawning. An aqueous isoscape of strontium isotopic ratios (87Sr/86Sr) was constructed for Clear Lake and its watershed to trace natal origins and migration histories of adult recruits. Aqueous 87Sr/86Sr differentiated Clear Lake from 8 of 10 key tributaries and clustered into 5 strontium isotope groups (SIGs) with 100% classification success. Otolith 87Sr/86Sr showed all five groups contributed variably to the population. The age at which juveniles migrated from natal streams to Clear Lake ranged from 11 to 152 days (mean ± s.d., 43 ± 34 days) and was positively associated with the permanency of natal habitat. This information can be used by resource managers to develop conservation actions for Clear Lake hitch. This study demonstrates the utility of strontium isotopes in otoliths as a tool to identify important freshwater habitats occupied over the lifespan of an individual that would otherwise be challenging or impossible to trace with other methods.

","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/MF18264","usgsCitation":"Feyrer, F.V., Whitman, G., Young, M.J., and Johnson, R.C., 2019, Strontium isotopes reveal ephemeral streams used for spawning and rearing by an imperiled potamodromous cyprinid--Clear Lake hitch Lavinia exilicauda chi: Marine and Freshwater Research, 9 p., https://doi.org/10.1071/MF18264.","productDescription":"9 p.","ipdsId":"IP-103275","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":467689,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/mf18264","text":"Publisher Index Page"},{"id":363548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363544,"type":{"id":15,"text":"Index Page"},"url":"https://www.publish.csiro.au/mf/MF18264"}],"country":"United States","state":"California","county":"Lake County","otherGeospatial":"Clear 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PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":178379,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762242,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitman, George","contributorId":215401,"corporation":false,"usgs":false,"family":"Whitman","given":"George","email":"","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":762243,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Matthew J. 0000-0001-9306-6866 mjyoung@usgs.gov","orcid":"https://orcid.org/0000-0001-9306-6866","contributorId":206255,"corporation":false,"usgs":true,"family":"Young","given":"Matthew","email":"mjyoung@usgs.gov","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762244,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Rachel C.","contributorId":196877,"corporation":false,"usgs":false,"family":"Johnson","given":"Rachel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":762245,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202826,"text":"fs20193015 - 2019 - Drought forecasting for streams and groundwaters in northeastern United States","interactions":[],"lastModifiedDate":"2019-04-22T10:24:12","indexId":"fs20193015","displayToPublicDate":"2019-04-17T14:00:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3015","title":"Drought forecasting for streams and groundwaters in northeastern United States","docAbstract":"

Background

When rainfall is lower than normal over an extended period, streamflows decline, groundwater levels fall, and hydrological drought can occur. Droughts can reduce the water available for societal needs, such as public and private drinking-water supplies, farming, and industry, and for ecological health, such as maintenance of water quality and natural ecosystems. Recent droughts in the northeastern United States have highlighted the need for new scientific tools to forecast the probability of future droughts so water managers and the public can be better prepared for these events when they happen. Two recent U.S. Geological Survey (USGS) studies provide tools that can forecast the probabilities of summer droughts for streams and the probabilities of groundwater-level declines below specified targets or thresholds. These tools provide promising methods for identifying and anticipating probable streamflow and groundwater droughts specific to the northeastern United States. USGS Water Science Centers in the northeastern United States have acted together to use these methods for numerous streamflow gages and groundwater-level monitoring wells, and to make the results of the analyses available on the world wide web. This fact sheet describes the drought forecasting techniques used in a study to predict droughts for streamflow and groundwater in the northeastern United States.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193015","usgsCitation":"Austin, S.H., and Dudley, R.W., 2019, Drought forecasting for streams and groundwaters in northeastern United States: U.S. Geological Survey Fact Sheet 2019–3015, 4 p., https://doi.org/10.3133/fs20193015.","productDescription":"Document: 4 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-102976","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":362991,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3015/coverthb.jpg"},{"id":362992,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3015/fs20193015.pdf","text":"Report","size":"7.67 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3015"}],"country":"United States","state":"Connecticut, Delaware, Maine, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Vermont, Virginia, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.88134765625,\n 36.06686213257888\n ],\n [\n -74.37744140625,\n 36.35052700542763\n ],\n [\n -72.4658203125,\n 40.51379915504413\n ],\n [\n -69.697265625,\n 41.42625319507269\n ],\n [\n -70.20263671875,\n 43.43696596521823\n ],\n [\n -66.5771484375,\n 44.62175409623324\n ],\n [\n -68.7744140625,\n 47.90161354142077\n ],\n [\n -80.88134765625,\n 42.52069952914966\n ],\n [\n -80.88134765625,\n 36.06686213257888\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Virginia and West Virginia Water Science Center
U.S. Geological Survey
1730 East Parham Road
Richmond, VA 23228

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2019-04-17","noUsgsAuthors":false,"publicationDate":"2019-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Austin, Samuel H. 0000-0001-5626-023X saustin@usgs.gov","orcid":"https://orcid.org/0000-0001-5626-023X","contributorId":153,"corporation":false,"usgs":true,"family":"Austin","given":"Samuel","email":"saustin@usgs.gov","middleInitial":"H.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":760162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dudley, Robert W. 0000-0002-0934-0568 rwdudley@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":2223,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert","email":"rwdudley@usgs.gov","middleInitial":"W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760163,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70203687,"text":"70203687 - 2019 - Submarine permafrost map in the arctic modelled using 1D transient heat flux (SuPerMAP)","interactions":[],"lastModifiedDate":"2019-07-23T14:02:28","indexId":"70203687","displayToPublicDate":"2019-04-17T11:09:05","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Submarine permafrost map in the arctic modelled using 1D transient heat flux (SuPerMAP)","docAbstract":"

Offshore permafrost plays a role in the global climate system, but observations of permafrost thickness, state, and composition are limited to specific regions. The current global permafrost map shows potential offshore permafrost distribution based on bathymetry and global sea level rise. As a first‐order estimate, we employ a heat transfer model to calculate the subsurface temperature field. Our model uses dynamic upper boundary conditions that synthesize Earth System Model air temperature, ice mass distribution and thickness, and global sea level reconstruction and applies globally distributed geothermal heat flux as a lower boundary condition. Sea level reconstruction accounts for differences between marine and terrestrial sedimentation history. Sediment composition and pore water salinity are integrated in the model. Model runs for 450 ka for cross‐shelf transects were used to initialize the model for circumarctic modeling for the past 50 ka. Preindustrial submarine permafrost (i.e., cryotic sediment), modeled at 12.5‐km spatial resolution, lies beneath almost 2.5 ×106km2 of the Arctic shelf. Our simple modeling approach results in estimates of distribution of cryotic sediment that are similar to the current global map and recent seismically delineated permafrost distributions for the Beaufort and Kara seas, suggesting that sea level is a first‐order determinant for submarine permafrost distribution. Ice content and sediment thermal conductivity are also important for determining rates of permafrost thickness change. The model provides a consistent circumarctic approach to map submarine permafrost and to estimate the dynamics of permafrost in the past.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JC014675","usgsCitation":"Overduin, P., Schneider, T., Miesner, F., Grigoriev, M., Ruppel, C.D., Vasiliev, A., Lantuit, H., Juhls, B., and Westermann, S., 2019, Submarine permafrost map in the arctic modelled using 1D transient heat flux (SuPerMAP): Journal of Geophysical Research C: Oceans, v. 124, no. 6, p. 3490-3507, https://doi.org/10.1029/2018JC014675.","productDescription":"18 p.","startPage":"3490","endPage":"3507","ipdsId":"IP-102127","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467691,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/24566","text":"External Repository"},{"id":364479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Arctic shelf Regions","volume":"124","issue":"6","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Overduin, P.P.","contributorId":37927,"corporation":false,"usgs":true,"family":"Overduin","given":"P.P.","email":"","affiliations":[],"preferred":false,"id":763797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schneider, T.","contributorId":216061,"corporation":false,"usgs":false,"family":"Schneider","given":"T.","affiliations":[],"preferred":false,"id":763798,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miesner, F.","contributorId":216062,"corporation":false,"usgs":false,"family":"Miesner","given":"F.","email":"","affiliations":[],"preferred":false,"id":763799,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grigoriev, M.N.","contributorId":64105,"corporation":false,"usgs":true,"family":"Grigoriev","given":"M.N.","email":"","affiliations":[],"preferred":false,"id":763800,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruppel, Carolyn D. 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":195778,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","email":"cruppel@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":763801,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vasiliev, A.","contributorId":216063,"corporation":false,"usgs":false,"family":"Vasiliev","given":"A.","email":"","affiliations":[],"preferred":false,"id":763802,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lantuit, H.","contributorId":216064,"corporation":false,"usgs":false,"family":"Lantuit","given":"H.","affiliations":[],"preferred":false,"id":763803,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Juhls, B.","contributorId":216065,"corporation":false,"usgs":false,"family":"Juhls","given":"B.","email":"","affiliations":[],"preferred":false,"id":763804,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Westermann, S.","contributorId":216066,"corporation":false,"usgs":false,"family":"Westermann","given":"S.","email":"","affiliations":[],"preferred":false,"id":763805,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70203113,"text":"70203113 - 2019 - Carbon dioxide enhanced oil recovery and residual oil zone studies at the U.S. Geological Survey","interactions":[],"lastModifiedDate":"2019-05-01T10:23:33","indexId":"70203113","displayToPublicDate":"2019-04-17T10:23:23","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Carbon dioxide enhanced oil recovery and residual oil zone studies at the U.S. Geological Survey","docAbstract":"

The U.S. Geological Survey (USGS) is preparing a national resource assessment of the potential hydrocarbons recoverable after injection of carbon dioxide (CO2) into conventional oil reservoirs in the United States. The implementation of CO2-enhanced oil recovery (CO2-EOR) techniques can increase hydrocarbon production, and lead to incidental retention of CO2 in reservoir pore space allowing long-term storage of anthropogenic CO2. A Comprehensive Resource Database (CRD) containing proprietary data on location, geologic, petrophysical, and reservoir parameters, plus production and well counts for major oil and gas reservoirs in onshore areas and State waters of the conterminous United States and Alaska, was developed to support the USGS assessment. Residual oil zones (ROZs) also can provide potential pore space for long-term storage of anthropogenic CO2. However, ROZs are not included in the upcoming USGS national CO2-EOR assessment because assessment methods for ROZs still are being developed. Additional ROZ CO2-EOR and CO2 retention data and reservoir simulations are needed to calibrate national ROZ assessment estimates.

","conferenceTitle":"14th International Conference on Greenhouse Gas Control Technologies, GHGT-14","conferenceDate":"October 21-25, 2018","conferenceLocation":"Melbourne, Australia","language":"English","publisher":"Social Science Research Network (SSRN)","usgsCitation":"Warwick, P., Attanasi, E., Blondes, M., Brennan, S.T., Buursink, M., Doolan, C.A., Freeman, P., Jahediesfanjani, H., Karacan, C.O., Lohr, C., Merrill, M., Olea, R.A., Roueche, J.N., Shelton, J., Slucher, E., Varela, B.A., and Verma, M.K., 2019, Carbon dioxide enhanced oil recovery and residual oil zone studies at the U.S. Geological Survey, 14th International Conference on Greenhouse Gas Control Technologies, GHGT-14, Melbourne, Australia, October 21-25, 2018, p. 1-4.","productDescription":"4 p.","startPage":"1","endPage":"4","ipdsId":"IP-100919","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":363428,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363097,"type":{"id":15,"text":"Index Page"},"url":"https://ssrn.com/abstract=3366202"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Warwick, Peter D. 0000-0002-3152-7783","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":205928,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":761225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Attanasi, Emil D. 0000-0001-6845-7160 attanasi@usgs.gov","orcid":"https://orcid.org/0000-0001-6845-7160","contributorId":198728,"corporation":false,"usgs":true,"family":"Attanasi","given":"Emil D.","email":"attanasi@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":761226,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blondes, Madalyn S. 0000-0003-0320-0107 mblondes@usgs.gov","orcid":"https://orcid.org/0000-0003-0320-0107","contributorId":3598,"corporation":false,"usgs":true,"family":"Blondes","given":"Madalyn S.","email":"mblondes@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":761227,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brennan, Sean T. 0000-0002-9381-6863 sbrennan@usgs.gov","orcid":"https://orcid.org/0000-0002-9381-6863","contributorId":205926,"corporation":false,"usgs":true,"family":"Brennan","given":"Sean","email":"sbrennan@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":761228,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buursink, Marc L. 0000-0001-6491-386X","orcid":"https://orcid.org/0000-0001-6491-386X","contributorId":203357,"corporation":false,"usgs":true,"family":"Buursink","given":"Marc L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":761229,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Doolan, Colin A. 0000-0002-7595-7566 cdoolan@usgs.gov","orcid":"https://orcid.org/0000-0002-7595-7566","contributorId":3046,"corporation":false,"usgs":true,"family":"Doolan","given":"Colin","email":"cdoolan@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":761230,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Freeman, Philip A. 0000-0002-0863-7431","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":206294,"corporation":false,"usgs":true,"family":"Freeman","given":"Philip A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":761231,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jahediesfanjani, Hossein 0000-0001-6281-5166","orcid":"https://orcid.org/0000-0001-6281-5166","contributorId":201000,"corporation":false,"usgs":false,"family":"Jahediesfanjani","given":"Hossein","affiliations":[],"preferred":false,"id":761232,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Karacan, C. 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Dreissenid mussels (including the zebra mussel Dreissena polymorpha and the quagga mussel D. rostriformis) are among the world's most notorious invasive species, with large and widespread ecological and economic effects. However, their long‐term population dynamics are poorly known, even though these dynamics are critical to determining impacts and effective management. We gathered and analyzed 67 long‐term (>10 yr) data sets on dreissenid populations from lakes and rivers across Europe and North America. We addressed five questions: (1) How do Dreissena populations change through time? (2) Specifically, do Dreissena populations decline substantially after an initial outbreak phase? (3) Do different measures of population performance (biomass or density of settled animals, veliger density, recruitment of young) follow the same patterns through time? (4) How do the numbers or biomass of zebra mussels or of both species combined change after the quagga mussel arrives? (5) How does body size change over time? We also considered whether current data on long‐term dynamics of Dreissena populations are adequate for science and management. Individual Dreissena populations showed a wide range of temporal dynamics, but we could detect only two general patterns that applied across many populations: (1) Populations of both species increased rapidly in the first 1–2 yr after appearance, and (2) quagga mussels appeared later than zebra mussels and usually quickly caused large declines in zebra mussel populations. We found little evidence that combined Dreissena populations declined over the long term. Different measures of population performance were not congruent; the temporal dynamics of one life stage or population attribute cannot generally be accurately inferred from the dynamics of another. We found no consistent patterns in the long‐term dynamics of body size. The long‐term dynamics of Dreissena populations probably are driven by the ecological characteristics (e.g., predation, nutrient inputs, water temperature) and their temporal changes at individual sites rather than following a generalized time course that applies across many sites. Existing long‐term data sets on dreissenid populations, although clearly valuable, are inadequate to meet research and management needs. Data sets could be improved by standardizing sampling designs and methods, routinely collecting more variables, and increasing support.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2701","usgsCitation":"Strayer, D., Adamovich, B.V., Rita Adrian, Aldridge, D.C., Balogh, C., Burlakova, L.E., Fried-Petersen, H., G.-Toth, L., Amy L. Hetherington, Jones, T.S., Alexander Y. Karatayev, Madill, J.B., Makarevich, O.A., Marsden, J., Martel, A.L., Minchin, D., Nalepa, T.F., Noordhuis, R., Robinson, T.J., Lars G. Rudstam, Astrid N. Schwalb, Smith, D.R., Alan D. Steinman, and Jeschke, J.M., 2019, Long-term population dynamics of dreissenid mussels (Dreissena polymorpha and D. rostriformis): A cross-system analysis: Ecosphere, v. 10, no. 4, e02701, 22 p., https://doi.org/10.1002/ecs2.2701.","productDescription":"e02701, 22 p.","ipdsId":"IP-100985","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":467692,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2701","text":"Publisher Index Page"},{"id":377520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Strayer, David L.","contributorId":238531,"corporation":false,"usgs":false,"family":"Strayer","given":"David L.","affiliations":[{"id":47722,"text":"Cary Institute of Ecosystem Studies, Millbrook, NY","active":true,"usgs":false}],"preferred":false,"id":796360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adamovich, Boris V.","contributorId":238532,"corporation":false,"usgs":false,"family":"Adamovich","given":"Boris","email":"","middleInitial":"V.","affiliations":[{"id":47723,"text":"Biological Department, Belarusian State University, Minsk, Belarus","active":true,"usgs":false}],"preferred":false,"id":796361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rita Adrian","contributorId":238533,"corporation":false,"usgs":false,"family":"Rita Adrian","affiliations":[{"id":47724,"text":"Freie Universität Berlin, Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":796362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aldridge, David C.","contributorId":238534,"corporation":false,"usgs":false,"family":"Aldridge","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":47725,"text":"Department of Zoology, University of Cambridge, Cambridge, UK","active":true,"usgs":false}],"preferred":false,"id":796363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Balogh, Csilla","contributorId":238535,"corporation":false,"usgs":false,"family":"Balogh","given":"Csilla","email":"","affiliations":[{"id":47726,"text":"Centre for Ecological Research, Balaton Limnological Institute, Hungarian Academy of Sciences, Tihany, Hungary","active":true,"usgs":false}],"preferred":false,"id":796364,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burlakova, Lyubov E.","contributorId":238536,"corporation":false,"usgs":false,"family":"Burlakova","given":"Lyubov","email":"","middleInitial":"E.","affiliations":[{"id":47728,"text":"Great Lakes Center, SUNY Buffalo State, Buffalo, NY","active":true,"usgs":false}],"preferred":false,"id":796365,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fried-Petersen, Hannah","contributorId":238537,"corporation":false,"usgs":false,"family":"Fried-Petersen","given":"Hannah","email":"","affiliations":[{"id":47729,"text":"Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala, Sweden","active":true,"usgs":false}],"preferred":false,"id":796366,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"G.-Toth, Laszlo","contributorId":238538,"corporation":false,"usgs":false,"family":"G.-Toth","given":"Laszlo","email":"","affiliations":[{"id":47726,"text":"Centre for Ecological Research, Balaton Limnological Institute, Hungarian Academy of Sciences, Tihany, Hungary","active":true,"usgs":false}],"preferred":false,"id":796367,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Amy L. 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Rudstam","contributorId":238550,"corporation":false,"usgs":false,"family":"Lars G. Rudstam","affiliations":[{"id":47739,"text":"Cornell Biological Field Station, Department of Natural Resources, Cornell University, Bridgeport, NY","active":true,"usgs":false}],"preferred":false,"id":796379,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Astrid N. Schwalb","contributorId":238551,"corporation":false,"usgs":false,"family":"Astrid N. Schwalb","affiliations":[{"id":47740,"text":"Department of Biology, Texas State University, San Marcos, TX","active":true,"usgs":false}],"preferred":false,"id":796380,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":796381,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Alan D. Steinman","contributorId":238552,"corporation":false,"usgs":false,"family":"Alan D. Steinman","affiliations":[{"id":47741,"text":"Annis Water Resources Institute, Grand Valley State University, Muskegon, MI","active":true,"usgs":false}],"preferred":false,"id":796382,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Jeschke, Jonathan M.","contributorId":238553,"corporation":false,"usgs":false,"family":"Jeschke","given":"Jonathan","email":"","middleInitial":"M.","affiliations":[{"id":47724,"text":"Freie Universität Berlin, Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":796383,"contributorType":{"id":1,"text":"Authors"},"rank":24}]}} ,{"id":70205030,"text":"70205030 - 2019 - Understanding and mitigating bee drownings in open feeders","interactions":[],"lastModifiedDate":"2019-08-29T09:13:06","indexId":"70205030","displayToPublicDate":"2019-04-17T09:08:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5786,"text":"Bee World","active":true,"publicationSubtype":{"id":10}},"title":"Understanding and mitigating bee drownings in open feeders","docAbstract":"

Whereas open feeders are relatively inexpensive and are easily set up and maintained, they do present a drowning hazard to bees. We observed that bees feeding off the walls of the open container fell into the sugar water because of their incarnation, interactions with other bees and when shooed off the feeder walls while removing the feeder for cleaning. Twigs, angled laths and utility screen perches permitted bees to exploit more of the sugar water surface area and provided drowning bees a platform for self-rescue. Because angled laths and utility screen perches extended over the entire feeder, they offered greater feeding surface area and increased the chances that a drowning bee would quickly encounter the perches for self-rescue than twig perches. Additionally, bees were less likely to fall into the sugar water when removing the angled lath and utility screen perches from the feeders than when removing twigs. Our anecdotal observations identified three characteristics of perches that can mitigate for the drowning hazard. Perches need to: 1. Allow bees to use a greater surface area of the sugar water to reduce crowding while feeding from the container walls. 2. Encompass most of the feeder to improve the chances that drowning bees will encounter the perch and be able to rescue themselves. 3. Allow bees to quickly extricate themselves from the sugar water to minimize sugar crystallization on the bees. The information presented herein provides a practical window into the factors that lead to bee drownings and the type of mitigation that is required. It is of note that we used the three perch types to develop perch characteristics for mitigating drowning hazards. Novice researchers can apply these principles to customize perches based on their specific needs.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/0005772X.2019.1602022","usgsCitation":"Vyas, N.B., Plunkett, A.D., Enciso, E., and Torrez, V., 2019, Understanding and mitigating bee drownings in open feeders: Bee World, v. 96, no. 3, p. 92-95, https://doi.org/10.1080/0005772X.2019.1602022.","productDescription":"4 p.","startPage":"92","endPage":"95","ipdsId":"IP-106504","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":367051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Vyas, Nimish B. 0000-0003-0191-1319 nvyas@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-1319","contributorId":4494,"corporation":false,"usgs":true,"family":"Vyas","given":"Nimish","email":"nvyas@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":769641,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plunkett, Amanda D.","contributorId":213267,"corporation":false,"usgs":false,"family":"Plunkett","given":"Amanda","email":"","middleInitial":"D.","affiliations":[{"id":38730,"text":"Bee Rooted","active":true,"usgs":false}],"preferred":false,"id":769642,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Enciso, Evelynn","contributorId":218614,"corporation":false,"usgs":false,"family":"Enciso","given":"Evelynn","email":"","affiliations":[{"id":39876,"text":"University of California- San Bernardino","active":true,"usgs":false}],"preferred":false,"id":769643,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Torrez, Victor","contributorId":218615,"corporation":false,"usgs":false,"family":"Torrez","given":"Victor","email":"","affiliations":[{"id":39876,"text":"University of California- San Bernardino","active":true,"usgs":false}],"preferred":false,"id":769644,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70216089,"text":"70216089 - 2019 - Precipitation and temperature drive continental scale patterns in stream invertebrate production","interactions":[],"lastModifiedDate":"2020-11-05T15:08:38.436614","indexId":"70216089","displayToPublicDate":"2019-04-17T09:06:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Precipitation and temperature drive continental scale patterns in stream invertebrate production","docAbstract":"

Secondary production, the growth of new heterotrophic biomass, is a key process in aquatic and terrestrial ecosystems that has been carefully measured in many flowing water ecosystems. We combine structural equation modeling with the first worldwide dataset on annual secondary production of stream invertebrate communities to reveal core pathways linking air temperature and precipitation to secondary production. In the United States, where the most extensive set of secondary production estimates and covariate data were available, we show that precipitation-mediated, low–stream flow events have a strong negative effect on secondary production. At larger scales (United States, Europe, Central America, and Pacific), we demonstrate the significance of a positive two-step pathway from air to water temperature to increasing secondary production. Our results provide insights into the potential effects of climate change on secondary production and demonstrate a modeling framework that can be applied across ecosystems.

","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.aav2348","usgsCitation":"Patrick, C.J., McGarvey, D., Larson, J.H., Cross, W., Allen, D., Benke, A., Brey, T., Huryn, A., Jones, J.D., Murphy, C., Ruffing, C., Saffarinia, P., Whiles, M., Wallace, B.P., and Woodward, G., 2019, Precipitation and temperature drive continental scale patterns in stream invertebrate production: Nature, v. 5, no. 4, eaav2348, 10 p., https://doi.org/10.1126/sciadv.aav2348.","productDescription":"eaav2348, 10 p.","ipdsId":"IP-099195","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":467693,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.aav2348","text":"Publisher Index Page"},{"id":380192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Patrick, Christopher J.","contributorId":199778,"corporation":false,"usgs":false,"family":"Patrick","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":804016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGarvey, D.","contributorId":244474,"corporation":false,"usgs":false,"family":"McGarvey","given":"D.","email":"","affiliations":[{"id":38728,"text":"Virginia Commonwealth University","active":true,"usgs":false}],"preferred":false,"id":804017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":804018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cross, W.","contributorId":244475,"corporation":false,"usgs":false,"family":"Cross","given":"W.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":804019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, D.","contributorId":244476,"corporation":false,"usgs":false,"family":"Allen","given":"D.","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":804020,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Benke, A.","contributorId":244477,"corporation":false,"usgs":false,"family":"Benke","given":"A.","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":804021,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brey, T.","contributorId":244478,"corporation":false,"usgs":false,"family":"Brey","given":"T.","email":"","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":804022,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Huryn, A.","contributorId":244479,"corporation":false,"usgs":false,"family":"Huryn","given":"A.","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":804023,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jones, J. Douglas","contributorId":65037,"corporation":false,"usgs":false,"family":"Jones","given":"J.","email":"","middleInitial":"Douglas","affiliations":[],"preferred":false,"id":804024,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Murphy, C.","contributorId":244480,"corporation":false,"usgs":false,"family":"Murphy","given":"C.","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":804025,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ruffing, C.","contributorId":244481,"corporation":false,"usgs":false,"family":"Ruffing","given":"C.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":804026,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Saffarinia, P.","contributorId":244482,"corporation":false,"usgs":false,"family":"Saffarinia","given":"P.","affiliations":[{"id":12655,"text":"University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":804027,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Whiles, M.","contributorId":244483,"corporation":false,"usgs":false,"family":"Whiles","given":"M.","email":"","affiliations":[{"id":13212,"text":"Southern Illinois University","active":true,"usgs":false}],"preferred":false,"id":804028,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wallace, B. P.","contributorId":178089,"corporation":false,"usgs":false,"family":"Wallace","given":"B.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":804029,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Woodward, G.","contributorId":244484,"corporation":false,"usgs":false,"family":"Woodward","given":"G.","email":"","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":804030,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70203174,"text":"70203174 - 2019 - Methane emissions from artificial waterbodies dominate the carbon footprint of irrigation: A study of transitions in the food-energy-water-climate nexus (Spain, 1900-2014)","interactions":[],"lastModifiedDate":"2019-04-25T08:39:36","indexId":"70203174","displayToPublicDate":"2019-04-16T16:27:34","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Methane emissions from artificial waterbodies dominate the carbon footprint of irrigation: A study of transitions in the food-energy-water-climate nexus (Spain, 1900-2014)","docAbstract":"

Irrigation in the Mediterranean region has been used for millennia and has greatly expanded with industrialization. Irrigation is critical for climate change adaptation, but it is also an important source of greenhouse gas emissions. This study analyzes the carbon (C) footprint of irrigation in Spain, covering the complete historical process of mechanization. A 21-fold total, 6-fold area-based, and 4-fold product-based increase in the carbon footprint was observed during the 20th century, despite an increase in water use efficiency. CH4 emissions from waterbodies, which had not previously been considered in the C footprint of irrigation systems, dominated the emission budget during most of the analyzed period. Technologies to save water and tap new water resources greatly increased energy and infrastructure demand, while improvements in power generation efficiency had a limited influence on irrigation emissions. Electricity production from irrigation dams may contribute to climate change mitigation, but the amount produced in relation to that consumed in irrigation has greatly declined. High uncertainty in CH4 emission estimates from waterbodies stresses a need for more spatially resolved data and an improved empirical knowledge of the links between water quality, water level fluctuations, and emissions at the regional scale.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.9b00177","usgsCitation":"Aguilera, E., Vila-Traver, J., Deemer, B., Infante-Amate, J., Guzman, G.I., and Gonzalez de Molina, M., 2019, Methane emissions from artificial waterbodies dominate the carbon footprint of irrigation: A study of transitions in the food-energy-water-climate nexus (Spain, 1900-2014): Environmental Science & Technology, 11 p., https://doi.org/10.1021/acs.est.9b00177.","productDescription":"11 p.","onlineOnly":"Y","ipdsId":"IP-104496","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":363210,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Spain","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-9.03482,41.88057],[-8.98443,42.59278],[-9.39288,43.02662],[-7.97819,43.74834],[-6.75449,43.56791],[-5.41189,43.57424],[-4.34784,43.40345],[-3.51753,43.4559],[-1.90135,43.4228],[-1.50277,43.03401],[0.33805,42.57955],[0.70159,42.79573],[1.82679,42.34338],[2.986,42.47302],[3.03948,41.89212],[2.09184,41.22609],[0.81052,41.01473],[0.72133,40.67832],[0.10669,40.12393],[-0.27871,39.30998],[0.11129,38.73851],[-0.46712,38.29237],[-0.68339,37.64235],[-1.43838,37.44306],[-2.14645,36.67414],[-3.41578,36.6589],[-4.3689,36.67784],[-4.99522,36.32471],[-5.37716,35.94685],[-5.86643,36.02982],[-6.23669,36.36768],[-6.52019,36.94291],[-7.45373,37.09779],[-7.53711,37.4289],[-7.16651,37.80389],[-7.02928,38.07576],[-7.37409,38.37306],[-7.09804,39.03007],[-7.49863,39.62957],[-7.06659,39.71189],[-7.02641,40.18452],[-6.86402,40.33087],[-6.85113,41.11108],[-6.38909,41.38182],[-6.66861,41.88339],[-7.25131,41.91835],[-7.42251,41.79207],[-8.01317,41.79089],[-8.26386,42.28047],[-8.67195,42.13469],[-9.03482,41.88057]]]},\"properties\":{\"name\":\"Spain\"}}]}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Aguilera, Eduardo","contributorId":215050,"corporation":false,"usgs":false,"family":"Aguilera","given":"Eduardo","email":"","affiliations":[{"id":39165,"text":"Universidad Pablo de Olavide. Ctra Utrera km 1, Sevilla, 41009 Spain, Corresponding author. Phone: +34 675309372","active":true,"usgs":false}],"preferred":false,"id":761514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vila-Traver, Jaime","contributorId":215051,"corporation":false,"usgs":false,"family":"Vila-Traver","given":"Jaime","email":"","affiliations":[{"id":39166,"text":"Universidad Pablo de Olavide. Ctra Utrera km 1, Sevilla, 41009 Spain","active":true,"usgs":false}],"preferred":false,"id":761515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deemer, Bridget 0000-0002-5845-1002 bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":215049,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":761513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Infante-Amate, Juan","contributorId":215052,"corporation":false,"usgs":false,"family":"Infante-Amate","given":"Juan","email":"","affiliations":[{"id":39166,"text":"Universidad Pablo de Olavide. Ctra Utrera km 1, Sevilla, 41009 Spain","active":true,"usgs":false}],"preferred":false,"id":761516,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guzman, Gloria I.","contributorId":215053,"corporation":false,"usgs":false,"family":"Guzman","given":"Gloria","email":"","middleInitial":"I.","affiliations":[{"id":39166,"text":"Universidad Pablo de Olavide. Ctra Utrera km 1, Sevilla, 41009 Spain","active":true,"usgs":false}],"preferred":false,"id":761517,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gonzalez de Molina, Manuel","contributorId":215054,"corporation":false,"usgs":false,"family":"Gonzalez de Molina","given":"Manuel","email":"","affiliations":[{"id":39166,"text":"Universidad Pablo de Olavide. 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Tropical estuaries are diverse and productive habitats with respect to their fish assemblages and associated fisheries, but these ecosystems and fisheries are imperiled by multiple anthropogenic threats. Despite the economic, social, and biodiversity value of tropical estuarine fish assemblages, they are poorly understood, especially those on Caribbean islands. We sampled the fish assemblages of four estuaries that were broadly representative of riverine estuaries in Puerto Rico, including the Río Grande de Arecibo, Río Espiritu Santo, Río Mameyes, and Río Sabana. We used a combination of passive (gill nets) and active (seine) gears at locations that spanned the salinity gradient of each estuary during July–October 2013–2014 (rainy season) and March 2015 (dry season). Fish species richness among the riverine estuaries varied from 18 to 29 and was highest in the Río Espiritu Santo estuary. Nonmetric multidimensional scaling differentiated fish assemblages among estuaries but not by season or consistently by location within an estuary. Spearman's rank correlation analysis also revealed dissimilarity among each estuary's fish assemblage, as most pairwise correlations between the species compositions were not significant. We identified common and widespread species among estuaries, including sport fishes, such as the Tarpon Megalops atlanticus and Common Snook Centropomus undecimalis. As the only multi‐river assessment of riverine estuary fish assemblages in Puerto Rico, our results provide the best available information about the spatial variability of assemblages and fisheries resources. This information will benefit future conservation and fisheries management efforts, which are needed due to increasing anthropogenic impacts, such as illegal harvest, invasive species, and water diversions.

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J.R.","contributorId":243988,"corporation":false,"usgs":false,"family":"Fischer","given":"J.R.","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":802940,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lilyestrom, C.G.","contributorId":243989,"corporation":false,"usgs":false,"family":"Lilyestrom","given":"C.G.","affiliations":[{"id":48784,"text":"Puerto Rico Department of Natural and Environmental Resources","active":true,"usgs":false}],"preferred":false,"id":802941,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70203441,"text":"70203441 - 2019 - Sitting ducklings: Timing of hatch, nest departure, and predation risk for dabbling duck broods","interactions":[],"lastModifiedDate":"2019-05-14T13:32:30","indexId":"70203441","displayToPublicDate":"2019-04-16T13:31:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Sitting ducklings: Timing of hatch, nest departure, and predation risk for dabbling duck broods","docAbstract":"

For ground‐nesting waterfowl, the timing of egg hatch and duckling departure from the nest may be influenced by the risk of predation at the nest and en route to wetlands and constrained by the time required for ducklings to imprint on the hen and be physically able to leave the nest. We determined the timing of hatch, nest departure, and predation on dabbling duck broods using small video cameras placed at the nests of mallard (Anas platyrhynchos; n = 26), gadwall (Mareca strepera; n = 24), and cinnamon teal (Anas cyanoptera; n = 5). Mallard eggs began to hatch throughout the day and night, whereas gadwall eggs generally started to hatch during daylight hours (mean 7.5 hr after dawn). Among all species, duckling departure from the nest occurred during daylight (98%), and 53% of hens typically left the nest with their broods 1–4 hr after dawn. For mallard and gadwall, we identified three strategies for the timing of nest departure: (a) 9% of broods left the nest the same day that eggs began to hatch (6–12 hr later), (b) 81% of broods left the nest the day after eggs began to hatch, and (c) 10% of broods waited 2 days to depart the nest after eggs began to hatch, leaving the nest just after the second dawn (27–42 hr later). Overall, eggs were depredated at 10% of nests with cameras in the 2 days prior to hatch and ducklings were depredated at 15% of nests with cameras before leaving the nest. Our results suggest that broods prefer to depart the nest early in the morning, which may best balance developmental constraints with predation risk both at the nest and en route to wetlands.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5146","usgsCitation":"Peterson, S.H., Ackerman, J., Herzog, M.P., Hartman, C., Croston, R., Feldheim, C.L., and Casazza, M.L., 2019, Sitting ducklings: Timing of hatch, nest departure, and predation risk for dabbling duck broods: Ecology and Evolution, v. 9, no. 9, p. 5490-5500, https://doi.org/10.1002/ece3.5146.","productDescription":"11 p.","startPage":"5490","endPage":"5500","ipdsId":"IP-104323","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467695,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5146","text":"Publisher Index Page"},{"id":437496,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93ZFTZI","text":"USGS data release","linkHelpText":"The timing of dabbling duckling hatch, nest departure and depredation in Suisun Marsh, California from 2015-2017"},{"id":363780,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363777,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1002/ece3.5146"}],"volume":"9","issue":"9","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Peterson, Sarah H. 0000-0003-2773-3901 sepeterson@usgs.gov","orcid":"https://orcid.org/0000-0003-2773-3901","contributorId":167181,"corporation":false,"usgs":true,"family":"Peterson","given":"Sarah","email":"sepeterson@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":762715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":762714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":762716,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hartman, Christopher","contributorId":215579,"corporation":false,"usgs":true,"family":"Hartman","given":"Christopher","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":762717,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Croston, Rebecca 0000-0003-4696-0878","orcid":"https://orcid.org/0000-0003-4696-0878","contributorId":206560,"corporation":false,"usgs":true,"family":"Croston","given":"Rebecca","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":762718,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Feldheim, Cliff L.","contributorId":206561,"corporation":false,"usgs":false,"family":"Feldheim","given":"Cliff","email":"","middleInitial":"L.","affiliations":[{"id":37342,"text":"California Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":762719,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":762720,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70202885,"text":"ds1113 - 2019 - Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2017","interactions":[],"lastModifiedDate":"2021-08-26T14:15:48.171906","indexId":"ds1113","displayToPublicDate":"2019-04-16T12:52:58","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1113","displayTitle":"Water-Level Data for the Albuquerque Basin and Adjacent Areas, Central New Mexico, Period of Record Through September 30, 2017","title":"Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2017","docAbstract":"

The Albuquerque Basin, located in central New Mexico, is about 100 miles long and 25–40 miles wide. The basin is hydrologically defined as the extent of consolidated and unconsolidated deposits of Tertiary and Quaternary age that encompasses the structural Rio Grande Rift between San Acacia to the south and Cochiti Lake to the north. A 20-percent population increase in the basin from 1990 to 2000 and a 22-percent population increase from 2000 to 2010 resulted in an increased demand for water in areas within the basin. Drinking-water supplies throughout the basin were obtained solely from groundwater resources until December 2008, when the Albuquerque Bernalillo County Water Utility Authority (ABCWUA) began treatment and distribution of surface water from the Rio Grande through the San Juan-Chama Drinking Water Project.

An initial network of wells was established by the U.S. Geological Survey (USGS) in cooperation with the City of Albuquerque from April 1982 through September 1983 to monitor changes in groundwater levels throughout the Albuquerque Basin. In 1983, this network consisted of 6 wells with analog-to-digital recorders and 27 wells where water levels were measured monthly. The network currently (2017) consists of 122 wells and piezometers. (A piezometer is a specialized well open to a specific depth in the aquifer, often of small diameter and nested with other piezometers open to different depths.) The USGS, in cooperation with the ABCWUA and the New Mexico Office of the State Engineer, currently (2017) measures and reports water levels from the 122 wells and piezometers in the network; this report presents water-level data collected by USGS personnel at those 122 sites through water years 2016 and 2017 (October 1, 2015, through September 30, 2017). Water levels that were collected from wells in previous water years were published in previous USGS reports.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1113","collaboration":"Prepared in cooperation with the Albuquerque Bernalillo County Water Utility Authority","usgsCitation":"Beman, J.E., Ritchie, A.B., and Galanter, A.E., 2019, Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2017 (ver. 1.1, August 2021): U.S. Geological Survey Data Series 1113, 39 p., https://doi.org/10.3133/ds1113.","productDescription":"iii, 39 p.","numberOfPages":"48","onlineOnly":"Y","ipdsId":"IP-106011","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":362978,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1113/coverthb2.jpg"},{"id":388366,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1113/ds1113.pdf","text":"Report","size":"5.66 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1113"},{"id":388367,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/ds/1113/versionHist.txt","text":"Version History","size":"575 B","linkFileType":{"id":2,"text":"txt"},"description":"DS 1113 Version History"}],"country":"United States","state":"New Mexico","otherGeospatial":"Albuquerque Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.57812499999999,\n 33.710632271492095\n ],\n [\n -106.14990234375,\n 33.710632271492095\n ],\n [\n -106.14990234375,\n 35.764343479667176\n ],\n [\n -107.57812499999999,\n 35.764343479667176\n ],\n [\n -107.57812499999999,\n 33.710632271492095\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.1: August 2021","contact":"

Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd. NE
Albuquerque, NM 87113

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-04-16","revisedDate":"2021-08-25","noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Beman, Joseph E. 0000-0002-0689-029X jebeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0689-029X","contributorId":214613,"corporation":false,"usgs":true,"family":"Beman","given":"Joseph","email":"jebeman@usgs.gov","middleInitial":"E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ritchie, Andre B. 0000-0003-1289-653X","orcid":"https://orcid.org/0000-0003-1289-653X","contributorId":214611,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andre","email":"","middleInitial":"B.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Galanter, Amy E. 0000-0002-2960-0136","orcid":"https://orcid.org/0000-0002-2960-0136","contributorId":214612,"corporation":false,"usgs":true,"family":"Galanter","given":"Amy E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760393,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70215592,"text":"70215592 - 2019 - Mechanisms of a coniferous refugium persistence under drought and heat","interactions":[],"lastModifiedDate":"2020-10-25T17:51:11.992152","indexId":"70215592","displayToPublicDate":"2019-04-16T12:47:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Mechanisms of a coniferous refugium persistence under drought and heat","docAbstract":"

Predictions of warmer droughts causing increasing forest mortality are becoming abundant, yet few studies have investigated the mechanisms of forest persistence. To examine the resistance of forests to warmer droughts, we used a five-year precipitation reduction (~45% removal), heat (+4 °C above ambient) and combined drought and heat experiment in an isolated stand of mature Pinus edulis-Juniperus monosperma. Despite severe experimental drought and heating, no trees died, and we observed only minor evidence of hydraulic failure or carbon starvation. Two mechanisms promoting survival were supported. First, access to bedrock water, or 'hydraulic refugia' aided trees in their resistance to the experimental conditions. Second, the isolation of this stand amongst a landscape of dead trees precluded ingress by Ips confusus, frequently the ultimate biotic mortality agent of piñon. These combined abiotic and biotic landscape-scale processes can moderate the impacts of future droughts on tree mortality by enabling tree avoidance of hydraulic failure, carbon starvation, and exposure to attacking abiotic agents.

","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/ab0921","usgsCitation":"McDowell, N.G., Grossiord, C., Adams, H.D., Pinzon-Navarro, S., MacKay, D.S., Breshears, D., Allen, C.D., Borrego, I., Dickman, L.T., and Collins, A.D., 2019, Mechanisms of a coniferous refugium persistence under drought and heat: Environmental Research Letters, v. 14, no. 4, 045014, 14 p., https://doi.org/10.1088/1748-9326/ab0921.","productDescription":"045014, 14 p.","ipdsId":"IP-105101","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467697,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ab0921","text":"Publisher Index Page"},{"id":379721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"McDowell, Nate G.","contributorId":207743,"corporation":false,"usgs":false,"family":"McDowell","given":"Nate","email":"","middleInitial":"G.","affiliations":[{"id":37622,"text":"Earth Systems Science Division, Pacific Northwest National Laboratory","active":true,"usgs":false}],"preferred":false,"id":802874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grossiord, Charlotte","contributorId":207749,"corporation":false,"usgs":false,"family":"Grossiord","given":"Charlotte","email":"","affiliations":[{"id":37625,"text":"Earth and Environmental Sciences Division, Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":802875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Henry D.","contributorId":218785,"corporation":false,"usgs":false,"family":"Adams","given":"Henry","email":"","middleInitial":"D.","affiliations":[{"id":39910,"text":"Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM 87544, USA","active":true,"usgs":false}],"preferred":false,"id":802876,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pinzon-Navarro, Sara","contributorId":243957,"corporation":false,"usgs":false,"family":"Pinzon-Navarro","given":"Sara","email":"","affiliations":[{"id":48775,"text":"Univ. de Panama","active":true,"usgs":false}],"preferred":false,"id":802877,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"MacKay, D. Scott","contributorId":243958,"corporation":false,"usgs":false,"family":"MacKay","given":"D.","email":"","middleInitial":"Scott","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":802878,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Breshears, Dave","contributorId":243959,"corporation":false,"usgs":false,"family":"Breshears","given":"Dave","email":"","affiliations":[{"id":28236,"text":"Univ of Arizona","active":true,"usgs":false}],"preferred":false,"id":802879,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":802880,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Borrego, Isaac","contributorId":207748,"corporation":false,"usgs":false,"family":"Borrego","given":"Isaac","email":"","affiliations":[{"id":37625,"text":"Earth and Environmental Sciences Division, Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":802881,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dickman, L. Turin","contributorId":199441,"corporation":false,"usgs":false,"family":"Dickman","given":"L.","email":"","middleInitial":"Turin","affiliations":[],"preferred":false,"id":802882,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Collins, Adam D.","contributorId":199440,"corporation":false,"usgs":false,"family":"Collins","given":"Adam","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":802883,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70203554,"text":"70203554 - 2019 - Monitoring the Riverine Pulse: Applying high-frequency nitrate data to advance integrative understanding of biogeochemical and hydrological processes","interactions":[],"lastModifiedDate":"2019-05-23T07:29:18","indexId":"70203554","displayToPublicDate":"2019-04-16T09:48:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring the Riverine Pulse: Applying high-frequency nitrate data to advance integrative understanding of biogeochemical and hydrological processes","docAbstract":"Widespread deployment of sensors that measure river nitrate (NO3-) concentrations has led to many recent publications in water resources journals including review papers focused on data quality assurance, improved load calculations, and better nutrient management. The principal objective of this paper is to review and synthesize studies of high-frequency NO3- data that have aimed to improve understanding of the hydrologic and biogeochemical processes underlying episodic, diel, and long-term stream NO3- dynamics. Investigations have provided unprecedented detail on hysteresis and flushing patterns during high flow, seasonal variation during baseflow, and responses to multi-year climate variation. Analyses of high-frequency data have led to notable advances in understanding how climate variation affects spatial and temporal NO3- patterns, especially dry-wet cycles and antecedent moisture. Further advances have been limited by few investigations that include high-frequency measurements outside the channel and the short duration of many records. High-frequency data for multiple constituents have provided new insight to the relative roles of hydrology and biogeochemistry as highlighted by studies of the roles of autotrophic uptake, denitrification, riparian evapotranspiration, and temperature-driven changes in viscosity as drivers of diel patterns. Comparisons of short-duration high-frequency data with long-duration low frequency data have described similarities and differences in concentration – discharge patterns and highlighted the role of legacy stores. Investigators have applied innovative analysis approaches not previously possible with low-frequency or temporally-irregular data. Future availability of long-duration high-frequency data will provide new insight to processes, resulting in improved conceptual models and a deeper understanding of the role of climate variation.","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1348","usgsCitation":"Burns, D., Pellerin, B., Miller, M.P., Capel, P., Tesoriero, A.J., and Duncan, J.M., 2019, Monitoring the Riverine Pulse: Applying high-frequency nitrate data to advance integrative understanding of biogeochemical and hydrological processes: WIREs Water, 24 p., https://doi.org/10.1002/wat2.1348.","productDescription":"24 p.","ipdsId":"IP-102881","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":467701,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wat2.1348","text":"Publisher Index Page"},{"id":364086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":202943,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":763123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pellerin, Brian A. 0000-0003-3712-7884","orcid":"https://orcid.org/0000-0003-3712-7884","contributorId":204324,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian A.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":763124,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Matthew P. 0000-0002-2537-1823 mamiller@usgs.gov","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":3919,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew","email":"mamiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763125,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Capel, Paul 0000-0003-1020-5185 capel@usgs.gov","orcid":"https://orcid.org/0000-0003-1020-5185","contributorId":215743,"corporation":false,"usgs":true,"family":"Capel","given":"Paul","email":"capel@usgs.gov","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":763126,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tesoriero, Anthony J. 0000-0003-4674-7364 tesorier@usgs.gov","orcid":"https://orcid.org/0000-0003-4674-7364","contributorId":2693,"corporation":false,"usgs":true,"family":"Tesoriero","given":"Anthony","email":"tesorier@usgs.gov","middleInitial":"J.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763127,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duncan, Jonathan M.","contributorId":207569,"corporation":false,"usgs":false,"family":"Duncan","given":"Jonathan","email":"","middleInitial":"M.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":763128,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}