High‐resolution helicopter magnetic and electromagnetic (HEM) data flown over the rugged, ice‐covered Mt. Adams, Mt. Baker and Mt. Rainier volcanoes (Washington), reveal the distribution of alteration, water and ice thickness essential to evaluating volcanic landslide hazards. These data, combined with geological mapping and rock property measurements, indicate the presence of appreciable thicknesses (>500 m) of water‐saturated hydrothermally altered rock west of the modern summit of Mount Rainier in the Sunset Amphitheater region and in the central core of Mount Adams north of the summit. Alteration at Mount Baker is restricted to thinner (<300 m) zones beneath Sherman Crater and the Dorr Fumarole Fields. The EM data identified water‐saturated rocks from the surface to the detection limit (100–200 m) in discreet zones at Mt. Rainier and Mt Adams and over the entire summit region at Mt. Baker. The best estimates for ice thickness are obtained over relatively low resistivity (<800 ohm‐m) ground for the main ice cap on Mt. Adams and over most of the summit of Mt. Baker. The modeled distribution of alteration, pore fluids and partial ice volumes on the volcanoes helps identify likely sources for future alteration‐related debris flows, including the Sunset Amphitheater region at Mt. Rainier, steep cliffs at the western edge of the central altered zone at Mount Adams and eastern flanks of Mt. Baker.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"International Workshop on Gravity, Electrical & Magnetic Methods and Their Applications, Beijing, China, October 10-13, 2011","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Workshop on Gravity, Electrical & Magnetic Methods and Their Applications, Beijing, China, October 10-13, 2011","conferenceDate":"October 10-13, 2011","conferenceLocation":"Beijing, China","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/1.3659065","usgsCitation":"Finn, C.A., and Deszcz-Pan, M., 2011, Helicopter magnetic and electromagnetic surveys at Mounts Adams, Baker and Rainier, Washington: implications for debris flow hazards and volcano hydrology, in International Workshop on Gravity, Electrical & Magnetic Methods and Their Applications, Beijing, China, October 10-13, 2011, Beijing, China, October 10-13, 2011, 3 p., https://doi.org/10.1190/1.3659065.","productDescription":"3 p.","numberOfPages":"3","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-030425","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":299364,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount Adams, Mount Baker, Mount Rainier","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.84200306934184,\n 46.93722614399013\n ],\n [\n -121.84200306934184,\n 46.78827550036689\n ],\n [\n -121.62012445724865,\n 46.78827550036689\n ],\n [\n -121.62012445724865,\n 46.93722614399013\n ],\n [\n -121.84200306934184,\n 46.93722614399013\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.88412388017676,\n 48.83985693441136\n ],\n [\n -121.88412388017676,\n 48.72595868701214\n ],\n [\n -121.74121006389123,\n 48.72595868701214\n ],\n [\n -121.74121006389123,\n 48.83985693441136\n ],\n [\n -121.88412388017676,\n 48.83985693441136\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.56989136689592,\n 46.278660025581104\n ],\n [\n -121.56989136689592,\n 46.099510596725935\n ],\n [\n -121.38175341912235,\n 46.099510596725935\n ],\n [\n -121.38175341912235,\n 46.278660025581104\n ],\n [\n -121.56989136689592,\n 46.278660025581104\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2011-11-17","publicationStatus":"PW","scienceBaseUri":"551fb9bae4b027f0aee3bb0f","contributors":{"authors":[{"text":"Finn, Carol A. 0000-0002-6178-0405 cfinn@usgs.gov","orcid":"https://orcid.org/0000-0002-6178-0405","contributorId":1326,"corporation":false,"usgs":true,"family":"Finn","given":"Carol","email":"cfinn@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":518377,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deszcz-Pan, Maria 0000-0002-6298-5314 maryla@usgs.gov","orcid":"https://orcid.org/0000-0002-6298-5314","contributorId":1263,"corporation":false,"usgs":true,"family":"Deszcz-Pan","given":"Maria","email":"maryla@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":518376,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70036485,"text":"70036485 - 2011 - Estimation of mussel population response to hydrologic alteration in a southeastern U.S. stream","interactions":[],"lastModifiedDate":"2021-01-08T18:43:19.217828","indexId":"70036485","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimation of mussel population response to hydrologic alteration in a southeastern U.S. stream","docAbstract":"The southeastern United States has experienced severe, recurrent drought, rapid human population growth, and increasing agricultural irrigation during recent decades, resulting in greater demand for the water resources. During the same time period, freshwater mussels (Unioniformes) in the region have experienced substantial population declines. Consequently, there is growing interest in determining how mussel population declines are related to activities associated with water resource development. Determining the causes of mussel population declines requires, in part, an understanding of the factors influencing mussel population dynamics. We developed Pradel reverse-time, tag-recapture models to estimate survival, recruitment, and population growth rates for three federally endangered mussel species in the Apalachicola–Chattahoochee–Flint River Basin, Georgia. The models were parameterized using mussel tag-recapture data collected over five consecutive years from Sawhatchee Creek, located in southwestern Georgia. Model estimates indicated that mussel survival was strongly and negatively related to high flows during the summer, whereas recruitment was strongly and positively related to flows during the spring and summer. Using these models, we simulated mussel population dynamics under historic (1940–1969) and current (1980–2008) flow regimes and under increasing levels of water use to evaluate the relative effectiveness of alternative minimum flow regulations. The simulations indicated that the probability of simulated mussel population extinction was at least 8 times greater under current hydrologic regimes. In addition, simulations of mussel extinction under varying levels of water use indicated that the relative risk of extinction increased with increased water use across a range of minimum flow regulations. The simulation results also indicated that our estimates of the effects of water use on mussel extinction were influenced by the assumptions about the dynamics of the system, highlighting the need for further study of mussel population dynamics.
","language":"English","publisher":"Springer Link","doi":"10.1007/s00267-011-9688-2","issn":"0364152X","usgsCitation":"Peterson, J., Wisniewski, J., Shea, C., and Rhett, J.C., 2011, Estimation of mussel population response to hydrologic alteration in a southeastern U.S. stream: Environmental Management, v. 48, no. 1, p. 109-122, https://doi.org/10.1007/s00267-011-9688-2.","productDescription":"14 p.","startPage":"109","endPage":"122","ipdsId":"IP-026955","costCenters":[],"links":[{"id":246353,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218353,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00267-011-9688-2"}],"country":"United States","state":"Georgia","otherGeospatial":"Sawhatchee Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.891357421875,\n 30.69933500437198\n ],\n [\n -84.53979492187499,\n 30.704058230919504\n ],\n [\n -84.48486328124999,\n 31.04822792454978\n ],\n [\n -85.0396728515625,\n 31.024694128525137\n ],\n [\n -84.979248046875,\n 30.817346256492073\n ],\n [\n -84.9407958984375,\n 30.685163937659564\n ],\n [\n -84.891357421875,\n 30.69933500437198\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"48","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-05-12","publicationStatus":"PW","scienceBaseUri":"505a0b99e4b0c8380cd527bd","contributors":{"authors":[{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":456367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wisniewski, J.M.","contributorId":65688,"corporation":false,"usgs":true,"family":"Wisniewski","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":456369,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shea, C.P.","contributorId":92885,"corporation":false,"usgs":true,"family":"Shea","given":"C.P.","email":"","affiliations":[],"preferred":false,"id":456370,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rhett, Jackson C.","contributorId":54054,"corporation":false,"usgs":true,"family":"Rhett","given":"Jackson","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":456368,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70044509,"text":"70044509 - 2011 - Measurement of net nitrogen and phosphorus mineralization in wetland soils using a modification of the resin-core technique","interactions":[],"lastModifiedDate":"2013-03-12T10:58:54","indexId":"70044509","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Measurement of net nitrogen and phosphorus mineralization in wetland soils using a modification of the resin-core technique","docAbstract":"A modification of the resin-core method was developed and tested for measuring in situ soil N and P net mineralization rates in wetland soils where temporal variation in bidirectional vertical water movement and saturation can complicate measurement. The modified design includes three mixed-bed ion-exchange resin bags located above and three resin bags located below soil incubating inside a core tube. The two inner resin bags adjacent to the soil capture NH4+, NO3-, and soluble reactive phosphorus (SRP) transported out of the soil during incubation; the two outer resin bags remove inorganic nutrients transported into the modified resin core; and the two middle resin bags serve as quality-control checks on the function of the inner and outer resin bags. Modified resin cores were incubated monthly for a year along the hydrogeomorphic gradient through a floodplain wetland. Only small amounts of NH4+, NO3-, and SRP were found in the two middle resin bags, indicating that the modified resin-core design was effective. Soil moisture and pH inside the modified resin cores typically tracked changes in the surrounding soil abiotic environment. In contrast, use of the closed polyethylene bag method provided substantially different net P and N mineralization rates than modified resin cores and did not track changes in soil moisture or pH. Net ammonification, nitrifi cation, N mineralization, and P mineralization rates measured using modified resin cores varied through space and time associated with hydrologic, geomorphic, and climatic gradients in the floodplain wetland. The modified resin-core technique successfully characterized spatiotemporal variation of net mineralization fluxes in situ and is a viable technique for assessing soil nutrient availability and developing ecosystem budgets.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biogeochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Soil Science Society of America","publisherLocation":"Madison, WI","doi":"10.2136/sssaj2010.0289","usgsCitation":"Noe, G., 2011, Measurement of net nitrogen and phosphorus mineralization in wetland soils using a modification of the resin-core technique: Biogeochemistry, v. 75, no. 2, p. 760-770, https://doi.org/10.2136/sssaj2010.0289.","productDescription":"5 p.","startPage":"760","endPage":"770","numberOfPages":"5","additionalOnlineFiles":"N","ipdsId":"IP-018892","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":269134,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2136/sssaj2010.0289"},{"id":269135,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"75","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51404e7fe4b089809dbf4482","contributors":{"authors":[{"text":"Noe, Gregory B.","contributorId":77805,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory B.","affiliations":[],"preferred":false,"id":475774,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70178330,"text":"70178330 - 2011 - The need to consider temporal variability when modelling exchange at the sediment-water interface","interactions":[],"lastModifiedDate":"2016-12-20T13:41:19","indexId":"70178330","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The need to consider temporal variability when modelling exchange at the sediment-water interface","docAbstract":"Most conceptual or numerical models of flows and processes at the sediment-water interface assume steady-state conditions and do not consider temporal variability. The steady-state assumption is required because temporal variability, if quantified at all, is usually determined on a seasonal or inter-annual scale. In order to design models that can incorporate finer-scale temporal resolution we first need to measure variability at a finer scale. Automated seepage meters that can measure flow across the sediment-water interface with temporal resolution of seconds to minutes were used in a variety of settings to characterize seepage response to rainfall, wind, and evapotranspiration. Results indicate that instantaneous seepage fluxes can be much larger than values commonly reported in the literature, although seepage does not always respond to hydrological processes. Additional study is needed to understand the reasons for the wide range and types of responses to these hydrologic and atmospheric events.","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Conceptual and modelling studies of integrated groundwater, surface water, and ecological systems ","conferenceTitle":"Symposium H01 ","conferenceDate":"July 2011","conferenceLocation":"Melbourne, Australia","language":"English","publisher":"International Association of Hydrological Sciences ","usgsCitation":"Rosenberry, D.O., 2011, The need to consider temporal variability when modelling exchange at the sediment-water interface, in Conceptual and modelling studies of integrated groundwater, surface water, and ecological systems , v. 345, Melbourne, Australia, July 2011, p. 3-9.","productDescription":"7 p. ","startPage":"3","endPage":"9","ipdsId":"IP-026656","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":332344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"345","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585a51c3e4b01224f329b601","contributors":{"authors":[{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":653610,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70046772,"text":"70046772 - 2011 - A Digital Hydrologic Network Supporting NAWQA MRB SPARROW Modeling--MRB_E2RF1WS","interactions":[],"lastModifiedDate":"2013-07-02T15:40:17","indexId":"70046772","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"A Digital Hydrologic Network Supporting NAWQA MRB SPARROW Modeling--MRB_E2RF1WS","docAbstract":"A digital hydrologic network was developed to support SPAtially Referenced Regression on Watershed attributes (SPARROW) models within selected regions of the United States. These regions correspond with the U.S. Geological Survey's National Water Quality Assessment (NAWQA) Program Major River Basin (MRB) study units 2, 3, 4, 5, and 7 (Preston and others, 2009). MRB2, covers the South Atlantic-Gulf and Tennessee River basins. MRB3, covers the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins. MRB4, covers the Missouri River basins. MRB5, covers the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins. MRB7, covers the Pacific Northwest River basins. The digital hydrologic network described here represents surface-water pathways (MRB_E2RF1) and associated catchments (MRB_E2RF1WS). It serves as the fundamental framework to spatially reference and summarize explanatory information supporting nutrient SPARROW models (Brakebill and others, 2011; Wieczorek and LaMotte, 2011). The principal geospatial dataset used to support this regional effort was based on an enhanced version of a 1:500,000 scale digital stream-reach network (ERF1_2) (Nolan et al., 2002). Enhancements included associating over 3,500 water-quality monitoring sites to the reach network, improving physical locations of stream reaches at or near monitoring locations, and generating drainage catchments based on 100m elevation data. A unique number (MRB_ID) identifies each reach as a single unit. This unique number is also shared by the catchment area drained by the reach, thus spatially linking the hydrologically connected streams and the respective drainage area characteristics. In addition, other relevant physical, environmental, and monitoring information can be associated to the common network and accessed using the unique identification number.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Baltimore, MA","doi":"10.3133/70046772","usgsCitation":"Brakebill, J., and Terziotti, S., 2011, A Digital Hydrologic Network Supporting NAWQA MRB SPARROW Modeling--MRB_E2RF1WS (Version 1.0), Dataset, https://doi.org/10.3133/70046772.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274444,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274443,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mrb_e2rf1ws.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -128.290499,23.033207 ], [ -128.290499,52.450082 ], [ -64.959844,52.450082 ], [ -64.959844,23.033207 ], [ -128.290499,23.033207 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d3f662e4b09630fbdc526e","contributors":{"authors":[{"text":"Brakebill, J. 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Such adjustment includes climate-bias correction, spatial refinement (\"downscaling\"), and consideration of the roles of hydrologic processes that were neglected in the climate model. Described herein is a quantitative analysis of the effects of hydrologic adjustment on the projections of runoff change associated with projected twenty-first-century climate change. In a case study including three climate models and 10 river basins in the contiguous United States, the authors find that relative (i.e., fractional or percentage) runoff change computed with hydrologic adjustment more often than not was less positive (or, equivalently, more negative) than what was projected by the climate models. The dominant contributor to this decrease in runoff was a ubiquitous change in runoff (median -11%) caused by the hydrologic model’s apparent amplification of the climate-model-implied growth in potential evapotranspiration. Analysis suggests that the hydrologic model, on the basis of the empirical, temperature-based modified Jensen–Haise formula, calculates a change in potential evapotranspiration that is typically 3 times the change implied by the climate models, which explicitly track surface energy budgets. In comparison with the amplification of potential evapotranspiration, central tendencies of other contributions from hydrologic adjustment (spatial refinement, climate-bias adjustment, and process refinement) were relatively small. The authors’ findings highlight the need for caution when projecting changes in potential evapotranspiration for use in hydrologic models or drought indices to evaluate climate-change impacts on water.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth Interactions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Meteorological Society","publisherLocation":"Boston, MA","doi":"10.1175/2010EI363.1","usgsCitation":"Milly, P., and Dunne, K.A., 2011, On the Hydrologic Adjustment of Climate-Model Projections: The Potential Pitfall of Potential Evapotranspiration: Earth Interactions, v. 15, no. 1, p. 1-14, https://doi.org/10.1175/2010EI363.1.","productDescription":"15 p.","startPage":"1","endPage":"14","numberOfPages":"15","additionalOnlineFiles":"N","ipdsId":"IP-019747","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":475164,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/2010ei363.1","text":"Publisher Index Page"},{"id":270445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270444,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/2010EI363.1"}],"volume":"15","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-01-14","publicationStatus":"PW","scienceBaseUri":"515bfdf6e4b075500ee5ca7b","contributors":{"authors":[{"text":"Milly, Paul C.D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":2119,"corporation":false,"usgs":true,"family":"Milly","given":"Paul C.D.","email":"cmilly@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":475759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunne, Krista A. kadunne@usgs.gov","contributorId":3936,"corporation":false,"usgs":true,"family":"Dunne","given":"Krista","email":"kadunne@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475760,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70033945,"text":"70033945 - 2011 - Rangewide phylogeography and landscape genetics of the Western U.S. endemic frog Rana boylii (Ranidae): Implications for the conservation of frogs and rivers","interactions":[],"lastModifiedDate":"2012-03-12T17:21:31","indexId":"70033945","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Rangewide phylogeography and landscape genetics of the Western U.S. endemic frog Rana boylii (Ranidae): Implications for the conservation of frogs and rivers","docAbstract":"Genetic data are increasingly being used in conservation planning for declining species. We sampled both the ecological and distributional limits of the foothill yellow-legged frog, Rana boylii to characterize mitochondrial DNA (mtDNA) variation in this declining, riverine amphibian. We evaluated 1525 base pairs (bp) of cytochrome b and ND2 fragments for 77 individuals from 34 localities using phylogenetic and population genetic analyses. We constructed gene trees using maximum likelihood and Bayesian inference, and quantified genetic variance (using AMOVA and partial Mantel tests) within and among hydrologic regions and river basins. Several moderately supported, geographically-cohesive mtDNA clades were recovered for R. boylii. While genetic variation was low among populations in the largest, most inclusive clade, samples from localities at the edges of the geographic range demonstrated substantial genetic divergence from each other and from more central populations. Hydrologic regions and river basins, which represent likely dispersal corridors for R. boylii, accounted for significant levels of genetic variation. These results suggest that both rivers and larger hydrologic and geographic regions should be used in conservation planning for R. boylii. ?? 2010 US Government.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Conservation Genetics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10592-010-0138-0","issn":"15660621","usgsCitation":"Lind, A., Spinks, P., Fellers, G.M., and Shaffer, H., 2011, Rangewide phylogeography and landscape genetics of the Western U.S. endemic frog Rana boylii (Ranidae): Implications for the conservation of frogs and rivers: Conservation Genetics, v. 12, no. 1, p. 269-284, https://doi.org/10.1007/s10592-010-0138-0.","startPage":"269","endPage":"284","numberOfPages":"16","costCenters":[],"links":[{"id":214509,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10592-010-0138-0"},{"id":242243,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-10-09","publicationStatus":"PW","scienceBaseUri":"505a94aae4b0c8380cd81546","contributors":{"authors":[{"text":"Lind, A.J.","contributorId":46763,"corporation":false,"usgs":true,"family":"Lind","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":443325,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spinks, P.Q.","contributorId":13454,"corporation":false,"usgs":true,"family":"Spinks","given":"P.Q.","email":"","affiliations":[],"preferred":false,"id":443323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fellers, G. M.","contributorId":82653,"corporation":false,"usgs":true,"family":"Fellers","given":"G.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":443326,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaffer, H.B.","contributorId":32106,"corporation":false,"usgs":true,"family":"Shaffer","given":"H.B.","email":"","affiliations":[],"preferred":false,"id":443324,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70042392,"text":"70042392 - 2011 - Biological and geochemical controls on diel dissolved inorganic carbon cycling in a low-order agricultural stream: Implications for reach scales and beyond","interactions":[],"lastModifiedDate":"2020-01-13T06:34:57","indexId":"70042392","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Biological and geochemical controls on diel dissolved inorganic carbon cycling in a low-order agricultural stream: Implications for reach scales and beyond","docAbstract":"Movement of dissolved inorganic carbon (DIC) through the hydrologic cycle is an important component of global carbon budgets, but there is considerable uncertainty about the controls of DIC transmission from landscapes to streams, and through river networks to the oceans. In this study, diel measurements of DIC, d13C-DIC, dissolved oxygen (O2), d18O-O2, alkalinity, pH, and other parameters were used to assess the relative magnitudes of biological and geochemical controls on DIC cycling and flux in a nutrient-rich, net autotrophic stream. Rates of photosynthesis (P), respiration (R), groundwater discharge, air–water exchange of CO2, and carbonate precipitation/dissolution were quantified through a time-stepping chemical/isotope (12C and 13C, 16O and 18O) mass balance model. Groundwater was the major source of DIC to the stream. Primary production and carbonate precipitation were equally important sinks for DIC removed from the water column. The stream was always super-saturated with respect to carbonate minerals, but carbonate precipitation occurred mainly during the day when P increased pH. We estimated more than half (possibly 90%) of the carbonate precipitated during the day was retained in the reach under steady baseflow conditions. The amount of DIC removed from the overlying water through carbonate precipitation was similar to the amount of DIC generated from R. Air–water exchange of CO2 was always from the stream to the atmosphere, but was the smallest component of the DIC budget. Overall, the in-stream DIC reactions reduced the amount of CO2 evasion and the downstream flux of groundwater-derived DIC by about half relative to a hypothetical scenario with groundwater discharge only. Other streams with similar characteristics are widely distributed in the major river basins of North America. Data from USGS water quality monitoring networks from the 1960s to the 1990s indicated that 40% of 652 stream monitoring stations in the contiguous USA were at or above the equilibrium saturation state for calcite, and 77% of all stations exhibited apparent increases in saturation state from the 1960/70s to the 1980/90s. Diel processes including partially irreversible carbonate precipitation may affect net carbon fluxes from many such watersheds.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2010.12.012","usgsCitation":"Tobias, C., and Bohlke, J., 2011, Biological and geochemical controls on diel dissolved inorganic carbon cycling in a low-order agricultural stream: Implications for reach scales and beyond: Chemical Geology, v. 283, no. 1-2, p. 18-30, https://doi.org/10.1016/j.chemgeo.2010.12.012.","productDescription":"13 p.","startPage":"18","endPage":"30","ipdsId":"IP-022716","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":265319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -126.21093749999999,\n 49.49667452747045\n ],\n [\n -124.98046874999999,\n 46.07323062540835\n ],\n [\n -125.68359374999999,\n 42.032974332441405\n ],\n [\n -125.33203125,\n 39.232253141714885\n ],\n [\n -122.87109375,\n 36.1733569352216\n ],\n [\n -119.53125,\n 33.43144133557529\n ],\n [\n -116.3671875,\n 32.69486597787505\n ],\n [\n -111.4453125,\n 31.50362930577303\n ],\n [\n -106.875,\n 31.653381399664\n ],\n [\n -95.97656249999999,\n 25.005972656239187\n ],\n [\n -95.625,\n 27.68352808378776\n ],\n [\n -92.98828125,\n 29.38217507514529\n ],\n [\n -88.59374999999999,\n 28.613459424004414\n ],\n [\n -88.24218749999999,\n 29.84064389983441\n ],\n [\n -84.90234375,\n 28.613459424004414\n ],\n [\n -80.68359375,\n 24.046463999666567\n ],\n [\n -79.1015625,\n 25.48295117535531\n ],\n [\n -78.92578124999999,\n 30.751277776257812\n ],\n [\n -76.46484375,\n 34.59704151614417\n ],\n [\n -74.70703125,\n 37.020098201368114\n ],\n [\n -73.30078125,\n 38.8225909761771\n ],\n [\n -70.48828125,\n 40.84706035607122\n ],\n [\n -67.5,\n 43.83452678223682\n ],\n [\n -67.5,\n 47.27922900257082\n ],\n [\n -69.78515625,\n 47.27922900257082\n ],\n [\n -75.76171875,\n 45.82879925192134\n ],\n [\n -81.73828125,\n 42.16340342422401\n ],\n [\n -80.85937499999999,\n 45.089035564831036\n ],\n [\n -84.19921875,\n 46.92025531537451\n ],\n [\n -93.8671875,\n 49.38237278700955\n ],\n [\n -126.21093749999999,\n 49.49667452747045\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"283","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ebfc72e4b07f1501afcfc4","contributors":{"authors":[{"text":"Tobias, Craig","contributorId":90612,"corporation":false,"usgs":true,"family":"Tobias","given":"Craig","affiliations":[],"preferred":false,"id":471455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":471454,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70037017,"text":"70037017 - 2011 - The secret to successful solute-transport modeling","interactions":[],"lastModifiedDate":"2020-01-14T10:33:01","indexId":"70037017","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"The secret to successful solute-transport modeling","docAbstract":"Modeling subsurface solute transport is difficult—more so than modeling heads and flows. The classical governing equation does not always adequately represent what we see at the field scale. In such cases, commonly used numerical models are solving the wrong equation. Also, the transport equation is hyperbolic where advection is dominant, and parabolic where hydrodynamic dispersion is dominant. No single numerical method works well for all conditions, and for any given complex field problem, where seepage velocity is highly variable, no one method will be optimal everywhere. Although we normally expect a numerically accurate solution to the governing groundwater-flow equation, errors in concentrations from numerical dispersion and/or oscillations may be large in some cases. The accuracy and efficiency of the numerical solution to the solute-transport equation are more sensitive to the numerical method chosen than for typical groundwater-flow problems. However, numerical errors can be kept within acceptable limits if sufficient computational effort is expended. But impractically long\nsimulation times may promote a tendency to ignore or accept numerical errors. One approach to effective solutetransport modeling is to keep the model relatively simple and use it to test and improve conceptual understanding of the system and the problem at hand. It should not be expected that all concentrations observed in the field can be reproduced. Given a knowledgeable analyst, a reasonable description of a hydrogeologic framework, and the\navailability of solute-concentration data, the secret to successful solute-transport modeling may simply be to lower expectations.","language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.2010.00764.x","issn":"0017467X","usgsCitation":"Konikow, L.F., 2011, The secret to successful solute-transport modeling: Ground Water, v. 49, no. 2, p. 144-159, https://doi.org/10.1111/j.1745-6584.2010.00764.x.","productDescription":"16 p.","startPage":"144","endPage":"159","numberOfPages":"16","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":245365,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-10-29","publicationStatus":"PW","scienceBaseUri":"505ba8e3e4b08c986b321f00","contributors":{"authors":[{"text":"Konikow, Leonard F. 0000-0002-0940-3856 lkonikow@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-3856","contributorId":158,"corporation":false,"usgs":true,"family":"Konikow","given":"Leonard","email":"lkonikow@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":458985,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70036988,"text":"70036988 - 2011 - Geochemical analysis of Atlantic rim water, Carbon County, Wyoming: New applications for characterizing coalbed natural gas reservoirs","interactions":[],"lastModifiedDate":"2020-12-21T13:09:17.614014","indexId":"70036988","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":701,"text":"American Association of Petroleum Geologists Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical analysis of Atlantic rim water, Carbon County, Wyoming: New applications for characterizing coalbed natural gas reservoirs","docAbstract":"Coalbed natural gas (CBNG) production typically requires the extraction of large volumes of water from target formations, thereby influencing any associated reservoir systems. We describe isotopic tracers that provide immediate data on the presence or absence of biogenic natural gas and the identify methane-containing reservoirs are hydrologically confined. Isotopes of dissolved inorganic carbon and strontium, along with water quality data, were used to characterize the CBNG reservoirs and hydrogeologic systems of Wyoming’s Atlantic Rim. Water was analyzed from a stream, springs, and CBNG wells.
Strontium isotopic composition and major ion geochemistry identify two groups of surface water samples. Muddy Creek and Mesaverde Group spring samples are Ca-Mg-SO4–type water with higher 87Sr/86Sr, reflecting relatively young groundwater recharged from precipitation in the Sierra Madre. Groundwaters emitted from the Lewis Shale springs are Na-HCO3–type waters with lower 87Sr/86Sr, reflecting sulfate reduction and more extensive water-rock interaction.
To distinguish coalbed waters, methanogenically enriched d13CDIC was used from other natural waters. Enriched d13CDIC, between −3.6 and +13.3‰, identified spring water that likely originates from Mesaverde coalbed reservoirs. Strongly positive d13CDIC, between +12.6 and +22.8‰, identified those coalbed reservoirs that are confined, whereas lower d13CDIC, between +0.0 and +9.9‰, identified wells within unconfined reservoir systems
","language":"English","publisher":"American Association of Petroleum Geologists","publisherLocation":"Tulsa, OK","doi":"10.1306/06301009190","usgsCitation":"McLaughlin, J., Frost, C., and Sharma, S., 2011, Geochemical analysis of Atlantic rim water, Carbon County, Wyoming: New applications for characterizing coalbed natural gas reservoirs: American Association of Petroleum Geologists Bulletin, v. 95, no. 2, p. 191-217, https://doi.org/10.1306/06301009190.","productDescription":"27 p.","startPage":"191","endPage":"217","numberOfPages":"27","costCenters":[],"links":[{"id":245868,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","county":"Carbon 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J.F.","contributorId":41683,"corporation":false,"usgs":true,"family":"McLaughlin","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":458871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frost, C.D.","contributorId":20900,"corporation":false,"usgs":true,"family":"Frost","given":"C.D.","email":"","affiliations":[],"preferred":false,"id":458869,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharma, Shruti","contributorId":34088,"corporation":false,"usgs":true,"family":"Sharma","given":"Shruti","email":"","affiliations":[],"preferred":false,"id":458870,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70036985,"text":"70036985 - 2011 - Modeling of hydroecological feedbacks predicts distinct classes of landscape pattern, process, and restoration potential in shallow aquatic ecosystems","interactions":[],"lastModifiedDate":"2017-05-03T13:37:14","indexId":"70036985","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Modeling of hydroecological feedbacks predicts distinct classes of landscape pattern, process, and restoration potential in shallow aquatic ecosystems","docAbstract":"It is widely recognized that interactions between vegetation and flow cause the emergence of channel patterns that are distinct from the standard Schumm classification of river channels. Although landscape pattern is known to be linked to ecosystem services such as habitat provision, pollutant removal, and sustaining biodiversity, the mechanisms responsible for the development and stability of different landscape patterns in shallow, vegetated flows have remained poorly understood. Fortunately, recent advances have made possible large-scale models of flow through vegetated environments that can be run over a range of environmental variables and over timescales of millennia. We describe a new, quasi-3D cellular automata model that couples simulations of shallow-water flow, bed shear stresses, sediment transport, and vegetation dynamics in an efficient manner. That efficiency allowed us to apply the model widely in order to determine how different hydroecological feedbacks control landscape pattern and process in various types of wetlands and floodplains. Distinct classes of landscape pattern were uniquely associated with specific types of allogenic and autogenic drivers in wetland flows. Regular, anisotropically patterned wetlands were dominated by allogenic processes (i.e., processes driven by periodic high water levels and flow velocities that redistribute sediment), relative to autogenic processes (e.g., vegetation production, peat accretion, and gravitational erosion). These anistropically patterned wetlands are therefore particularly prone to hydrologic disturbance. Other classes of wetlands that emerged from simulated interactions included maze-patterned, amorphous, and topographically noisy marshes, open marsh with islands, banded string-pool sequences perpendicular to flow, parallel deep and narrow channels flanked by marsh, and ridge-and-slough patterned marsh oriented parallel to flow. Because vegetation both affects and responds to the balance between the transport capacity of the flow and sediment supply, these vegetated systems exhibit a feedback that is not dominant in most rivers. Consequently, unlike in most rivers, it is not possible to predict the “channel pattern” of a vegetated landscape based only on discharge characteristics and sediment supply; the antecedent vegetation pattern and vegetation dynamics must also be known.
\nIn general, the stability of different wetland pattern types is most strongly related to factors controlling the erosion and deposition of sediment at vegetation patch edges, the magnitude of sediment redistribution by flow, patch elevation relative to water level, and the variability of erosion rates in vegetation patches with low flow-resistance. As we exemplify in our case-study of the Everglades ridge and slough landscape, feedback between flow and vegetation also causes hysteresis in landscape evolution trajectories that will affect the potential for landscape restoration. Namely, even if the hydrologic conditions that historically produced higher flows are restored, degraded portions of the ridge and slough landscape are unlikely to revert to their former patterning. As wetlands and floodplains worldwide become increasingly threatened by climate change and urbanization, the greater mechanistic understanding of landscape pattern and process that our analysis provides will improve our ability to forecast and manage the behavior of these ecosystems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2010.03.015","issn":"0169555X","usgsCitation":"Larsen, L., and Harvey, J.W., 2011, Modeling of hydroecological feedbacks predicts distinct classes of landscape pattern, process, and restoration potential in shallow aquatic ecosystems: Geomorphology, v. 126, no. 3-4, p. 279-296, https://doi.org/10.1016/j.geomorph.2010.03.015.","productDescription":"18 p.","startPage":"279","endPage":"296","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-014837","costCenters":[],"links":[{"id":245809,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217837,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geomorph.2010.03.015"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.50094604492186,\n 25.759082934951692\n ],\n [\n -80.49957275390625,\n 25.684850188749582\n ],\n [\n -80.54763793945311,\n 25.63781217093439\n ],\n [\n -80.54523468017578,\n 25.578988578695007\n ],\n [\n -80.5678939819336,\n 25.579917597109258\n ],\n [\n -80.56514739990234,\n 25.484810693165663\n ],\n [\n -80.59158325195312,\n 25.46559428893416\n ],\n [\n -80.59295654296875,\n 25.418470119273117\n ],\n [\n -80.58059692382812,\n 25.41474900498932\n ],\n [\n -80.57647705078125,\n 25.289404556494823\n ],\n [\n -80.44326782226562,\n 25.28692117716442\n ],\n [\n -80.3924560546875,\n 25.18505888358067\n ],\n [\n -80.51742553710938,\n 25.025884063244828\n ],\n [\n -80.83465576171875,\n 24.856534339310674\n ],\n [\n -80.8868408203125,\n 24.87646991083154\n ],\n [\n -81.08322143554688,\n 25.07440458233748\n ],\n [\n -81.20819091796875,\n 25.224820176765036\n ],\n [\n -81.17660522460938,\n 25.340302620496118\n ],\n [\n -81.23153686523438,\n 25.5114606200392\n ],\n [\n -81.3482666015625,\n 25.671235828577043\n ],\n [\n -81.52542114257812,\n 25.828324988459716\n ],\n [\n -81.4581298828125,\n 25.890114046690094\n ],\n [\n -81.41143798828125,\n 25.888878582127084\n ],\n [\n -81.40731811523438,\n 25.843157307531634\n ],\n [\n -81.39976501464844,\n 25.833269301382515\n ],\n [\n -81.36062622070312,\n 25.832651273562607\n ],\n [\n -81.36062622070312,\n 25.864784439396765\n ],\n [\n -81.26518249511717,\n 25.863548709865864\n ],\n [\n -81.09832763671875,\n 25.712074241522732\n ],\n [\n -81.05026245117188,\n 25.64895443060557\n ],\n [\n -81.04820251464844,\n 25.615524531842528\n ],\n [\n -80.85868835449219,\n 25.618001141542337\n ],\n [\n -80.85800170898438,\n 25.760319754713887\n ],\n [\n -80.50094604492186,\n 25.759082934951692\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"126","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c15e4b0c8380cd6fa01","contributors":{"authors":[{"text":"Larsen, Laurel G. lglarsen@usgs.gov","contributorId":1987,"corporation":false,"usgs":true,"family":"Larsen","given":"Laurel G.","email":"lglarsen@usgs.gov","affiliations":[],"preferred":false,"id":458854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":458853,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70036840,"text":"70036840 - 2011 - Atomic weights of the elements 2009 (IUPAC technical report)","interactions":[],"lastModifiedDate":"2020-01-14T15:20:42","indexId":"70036840","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3207,"text":"Pure and Applied Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Atomic weights of the elements 2009 (IUPAC technical report)","docAbstract":"The biennial review of atomic-weight determinations and other cognate data has resulted in changes for the standard atomic weights of 11 elements. Many atomic weights are not constants of nature, but depend upon the physical, chemical, and nuclear history of the material. The standard atomic weights of 10 elements having two or more stable isotopes have been changed to reflect this variability of atomic-weight values in natural terrestrial materials. To emphasize the fact that these standard atomic weights are not constants of nature, each atomic-weight value is expressed as an interval. The interval is used together with the symbol [a; b] to denote the set of atomic-weight values, Ar(E), of element E in normal materials for which a ≤ Ar(E) ≤ b. The symbols a and b denote the bounds of the interval [a; b]. The revised atomic weight of hydrogen, Ar(H), is [1.007 84; 1.008 11] from 1.007 94(7); lithium, Ar(Li), is [6.938; 6.997] from 6.941(2); boron, Ar(B), is [10.806; 10.821] from 10.811(7); carbon, Ar(C), is [12.0096; 12.0116] from 12.0107(8); nitrogen, Ar(N), is [14.006 43; 14.007 28] from 14.0067(2); oxygen, Ar(O), is [15.999 03; 15.999 77] from 15.9994(3); silicon, Ar(Si), is [28.084; 28.086] from 28.0855(3); sulfur, Ar(S), is [32.059; 32.076] from 32.065(2); chlorine, Ar(Cl), is [35.446; 35.457] from 35.453(2); and thallium, Ar(Tl), is [204.382; 204.385] from 204.3833(2). This fundamental change in the presentation of the atomic weights represents an important advance in our knowledge of the natural world and underscores the significance and contributions of chemistry to the well-being of humankind in the International Year of Chemistry 2011. The standard atomic weight of germanium, Ar(Ge), was also changed to 72.63(1) from 72.64(1).","language":"English","publisher":"International Union of Pure and Applied Chemistry","doi":"10.1351/PAC-REP-10-09-14","issn":"00334545","usgsCitation":"Wieser, M., and Coplen, T.B., 2011, Atomic weights of the elements 2009 (IUPAC technical report): Pure and Applied Chemistry, v. 83, no. 2, p. 359-396, https://doi.org/10.1351/PAC-REP-10-09-14.","productDescription":"38 p.","startPage":"359","endPage":"396","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":475167,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1351/pac-rep-10-09-14","text":"Publisher Index Page"},{"id":245830,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-12-12","publicationStatus":"PW","scienceBaseUri":"5059eec8e4b0c8380cd49f69","contributors":{"authors":[{"text":"Wieser, M.E.","contributorId":42856,"corporation":false,"usgs":true,"family":"Wieser","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":458103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":779428,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70036816,"text":"70036816 - 2011 - New aerial survey and hierarchical model to estimate manatee abundance","interactions":[],"lastModifiedDate":"2020-12-16T19:11:32.387533","indexId":"70036816","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"New aerial survey and hierarchical model to estimate manatee abundance","docAbstract":"Monitoring the response of endangered and protected species to hydrological restoration is a major component of the adaptive management framework of the Comprehensive Everglades Restoration Plan. The endangered Florida manatee (Trichechus manatus latirostris) lives at the marine-freshwater interface in southwest Florida and is likely to be affected by hydrologic restoration. To provide managers with prerestoration information on distribution and abundance for postrestoration comparison, we developed and implemented a new aerial survey design and hierarchical statistical model to estimate and map abundance of manatees as a function of patch-specific habitat characteristics, indicative of manatee requirements for offshore forage (seagrass), inland fresh drinking water, and warm-water winter refuge. We estimated the number of groups of manatees from dual-observer counts and estimated the number of individuals within groups by removal sampling. Our model is unique in that we jointly analyzed group and individual counts using assumptions that allow probabilities of group detection to depend on group size. Ours is the first analysis of manatee aerial surveys to model spatial and temporal abundance of manatees in association with habitat type while accounting for imperfect detection. We conducted the study in the Ten Thousand Islands area of southwestern Florida, USA, which was expected to be affected by the Picayune Strand Restoration Project to restore hydrology altered for a failed real-estate development. We conducted 11 surveys in 2006, spanning the cold, dry season and warm, wet season. To examine short-term and seasonal changes in distribution we flew paired surveys 1–2 days apart within a given month during the year. Manatees were sparsely distributed across the landscape in small groups. Probability of detection of a group increased with group size; the magnitude of the relationship between group size and detection probability varied among surveys. Probability of detection of individual manatees within a group also differed among surveys, ranging from a low of 0.27 on 11 January to a high of 0.73 on 8 August. During winter surveys, abundance was always higher inland at Port of the Islands (POI), a manatee warm-water aggregation site, than in the other habitat types. During warm-season surveys, highest abundances were estimated in offshore habitat where manatees forage on seagrass. Manatees continued to use POI in summer, but in lower numbers than in winter, possibly to drink freshwater. Abundance in other inland systems and inshore bays was low compared to POI in winter and summer, possibly because of low availability of freshwater. During cold weather, maps of patch abundance of paired surveys showed daily changes in manatee distribution associated with rapid changes in air and water temperature as manatees sought warm water with falling temperatures and seagrass areas with increasing temperatures. Within a habitat type, some patches had higher manatee abundance suggesting differences in quality, possibly due to freshwater flow. If hydrological restoration alters the location of quality habitat, postrestoration comparisons using our methods will document how manatees adjust to new resources, providing managers with information on spatial needs for further monitoring or management. Total abundance for the entire area was similar among survey dates. Credible intervals however were large on a few surveys, and may limit our ability to statistically detect trends in total abundance. Additional modeling of abundance with time- and patch-specific covariates of salinity, water temperature, and seagrass abundance will directly link manatee abundance with physical and biological changes due to restoration and should decrease uncertainty of estimates
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.41","issn":"0022541X","usgsCitation":"Langtimm, C.A., Dorazio, R., Stith, B., and Doyle, T., 2011, New aerial survey and hierarchical model to estimate manatee abundance: Journal of Wildlife Management, v. 75, no. 2, p. 399-412, https://doi.org/10.1002/jwmg.41.","productDescription":"14 p.","startPage":"399","endPage":"412","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":245407,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217457,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.41"}],"country":"United States","state":"Florida","otherGeospatial":"Ten Thousand Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.76986694335938,\n 25.81101826700782\n ],\n [\n -81.45263671875,\n 25.81101826700782\n ],\n [\n -81.45263671875,\n 26.061717616104055\n ],\n [\n -81.76986694335938,\n 26.061717616104055\n ],\n [\n -81.76986694335938,\n 25.81101826700782\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"75","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-03-29","publicationStatus":"PW","scienceBaseUri":"505a6550e4b0c8380cd72b68","contributors":{"authors":[{"text":"Langtimm, Catherine A. 0000-0001-8499-5743 clangtimm@usgs.gov","orcid":"https://orcid.org/0000-0001-8499-5743","contributorId":3045,"corporation":false,"usgs":true,"family":"Langtimm","given":"Catherine","email":"clangtimm@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":457980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorazio, Robert 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":172151,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"preferred":true,"id":457978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stith, B.M.","contributorId":53741,"corporation":false,"usgs":true,"family":"Stith","given":"B.M.","email":"","affiliations":[],"preferred":false,"id":457979,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doyle, T.J.","contributorId":103489,"corporation":false,"usgs":true,"family":"Doyle","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":457981,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70036785,"text":"70036785 - 2011 - Demonstration of a conceptual model for using LiDAR to improve the estimation of floodwater mitigation potential of Prairie Pothole Region wetlands","interactions":[],"lastModifiedDate":"2018-02-21T10:49:44","indexId":"70036785","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Demonstration of a conceptual model for using LiDAR to improve the estimation of floodwater mitigation potential of Prairie Pothole Region wetlands","docAbstract":"Recent flood events in the Prairie Pothole Region of North America have stimulated interest in modeling water storage capacities of wetlands and their surrounding catchments to facilitate flood mitigation efforts. Accurate estimates of basin storage capacities have been hampered by a lack of high-resolution elevation data. In this paper, we developed a 0.5 m bare-earth model from Light Detection And Ranging (LiDAR) data and, in combination with National Wetlands Inventory data, delineated wetland catchments and their spilling points within a 196 km2 study area. We then calculated the maximum water storage capacity of individual basins and modeled the connectivity among these basins. When compared to field survey results, catchment and spilling point delineations from the LiDAR bare-earth model captured subtle landscape features very well. Of the 11 modeled spilling points, 10 matched field survey spilling points. The comparison between observed and modeled maximum water storage had an R2 of 0.87 with mean absolute error of 5564 m3. Since maximum water storage capacity of basins does not translate into floodwater regulation capability, we further developed a Basin Floodwater Regulation Index. Based upon this index, the absolute and relative water that could be held by wetlands over a landscape could be modeled. This conceptual model of floodwater downstream contribution was demonstrated with water level data from 17 May 2008.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jhydrol.2011.05.040","issn":"00221694","usgsCitation":"Huang, S., Young, C., Feng, M., Heidemann, H.K., Cushing, M., Mushet, D., and Liu, S., 2011, Demonstration of a conceptual model for using LiDAR to improve the estimation of floodwater mitigation potential of Prairie Pothole Region wetlands: Journal of Hydrology, v. 405, no. 3-4, p. 417-426, https://doi.org/10.1016/j.jhydrol.2011.05.040.","productDescription":"10 p.","startPage":"417","endPage":"426","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":245856,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217883,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2011.05.040"}],"country":"United States;Canada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.0,40.38 ], [ -120.0,60.0 ], [ -90.14,60.0 ], [ -90.14,40.38 ], [ -120.0,40.38 ] ] ] } } ] }","volume":"405","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fe90e4b0c8380cd4edca","contributors":{"authors":[{"text":"Huang, S.","contributorId":18168,"corporation":false,"usgs":true,"family":"Huang","given":"S.","affiliations":[],"preferred":false,"id":457836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Caitlin","contributorId":30181,"corporation":false,"usgs":false,"family":"Young","given":"Caitlin","email":"","affiliations":[],"preferred":false,"id":457838,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feng, M.","contributorId":18195,"corporation":false,"usgs":true,"family":"Feng","given":"M.","affiliations":[],"preferred":false,"id":457837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heidemann, Hans Karl 0000-0003-4306-359X kheidemann@usgs.gov","orcid":"https://orcid.org/0000-0003-4306-359X","contributorId":3755,"corporation":false,"usgs":true,"family":"Heidemann","given":"Hans","email":"kheidemann@usgs.gov","middleInitial":"Karl","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":457842,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cushing, Matthew 0000-0001-5209-6006","orcid":"https://orcid.org/0000-0001-5209-6006","contributorId":66101,"corporation":false,"usgs":true,"family":"Cushing","given":"Matthew","affiliations":[],"preferred":false,"id":457840,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mushet, D.M. 0000-0002-5910-2744","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":59377,"corporation":false,"usgs":true,"family":"Mushet","given":"D.M.","affiliations":[],"preferred":false,"id":457839,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":457841,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70036756,"text":"70036756 - 2011 - Direction of unsaturated flow in a homogeneous and isotropic hillslope","interactions":[],"lastModifiedDate":"2012-03-12T17:21:57","indexId":"70036756","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Direction of unsaturated flow in a homogeneous and isotropic hillslope","docAbstract":"The distribution of soil moisture in a homogeneous and isotropic hillslope is a transient, variably saturated physical process controlled by rainfall characteristics, hillslope geometry, and the hydrological properties of the hillslope materials. The major driving mechanisms for moisture movement are gravity and gradients in matric potential. The latter is solely controlled by gradients of moisture content. In a homogeneous and isotropic saturated hillslope, absent a gradient in moisture content and under the driving force of gravity with a constant pressure boundary at the slope surface, flow is always in the lateral downslope direction, under either transient or steady state conditions. However, under variably saturated conditions, both gravity and moisture content gradients drive fluid motion, leading to complex flow patterns. In general, the flow field near the ground surface is variably saturated and transient, and the direction of flow could be laterally downslope, laterally upslope, or vertically downward. Previous work has suggested that prevailing rainfall conditions are sufficient to completely control these flow regimes. This work, however, shows that under time-varying rainfall conditions, vertical, downslope, and upslope lateral flow can concurrently occur at different depths and locations within the hillslope. More importantly, we show that the state of wetting or drying in a hillslope defines the temporal and spatial regimes of flow and when and where laterally downslope and/or laterally upslope flow occurs. Copyright 2011 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2010WR010003","issn":"00431397","usgsCitation":"Lu, N., Kaya, B., and Godt, J., 2011, Direction of unsaturated flow in a homogeneous and isotropic hillslope: Water Resources Research, v. 47, no. 2, https://doi.org/10.1029/2010WR010003.","costCenters":[],"links":[{"id":217853,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010WR010003"},{"id":245825,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-02-15","publicationStatus":"PW","scienceBaseUri":"505a01b9e4b0c8380cd4fd24","contributors":{"authors":[{"text":"Lu, N.","contributorId":96025,"corporation":false,"usgs":true,"family":"Lu","given":"N.","email":"","affiliations":[],"preferred":false,"id":457675,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaya, B.S.","contributorId":100226,"corporation":false,"usgs":true,"family":"Kaya","given":"B.S.","email":"","affiliations":[],"preferred":false,"id":457676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Godt, J. W.","contributorId":76732,"corporation":false,"usgs":true,"family":"Godt","given":"J. W.","affiliations":[],"preferred":false,"id":457674,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70036668,"text":"70036668 - 2011 - Rating curve estimation of nutrient loads in Iowa rivers","interactions":[],"lastModifiedDate":"2020-12-29T17:00:30.039285","indexId":"70036668","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Rating curve estimation of nutrient loads in Iowa rivers","docAbstract":"Accurate estimation of nutrient loads in rivers and streams is critical for many applications including determination of sources of nutrient loads in watersheds, evaluating long-term trends in loads, and estimating loading to downstream waterbodies. Since in many cases nutrient concentrations are measured on a weekly or monthly frequency, there is a need to estimate concentration and loads during periods when no data is available. The objectives of this study were to: (i) document the performance of a multiple regression model to predict loads of nitrate and total phosphorus (TP) in Iowa rivers and streams; (ii) determine whether there is any systematic bias in the load prediction estimates for nitrate and TP; and (iii) evaluate streamflow and concentration factors that could affect the load prediction efficiency. A commonly cited rating curve regression is utilized to estimate riverine nitrate and TP loads for rivers in Iowa with watershed areas ranging from 17.4 to over 34,600 km2. Forty-nine nitrate and 44 TP datasets each comprising 5–22 years of approximately weekly to monthly concentrations were examined. Three nitrate data sets had sample collection frequencies averaging about three samples per week. The accuracy and precision of annual and long term riverine load prediction was assessed by direct comparison of rating curve load predictions with observed daily loads. Significant positive bias of annual and long term nitrate loads was detected. Long term rating curve nitrate load predictions exceeded observed loads by 25% or more at 33% of the 49 measurement sites. No bias was found for TP load prediction although 15% of the 44 cases either underestimated or overestimate observed long-term loads by more than 25%. The rating curve was found to poorly characterize nitrate and phosphorus variation in some rivers.
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\"}}]}","volume":"396","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a954de4b0c8380cd8192a","contributors":{"authors":[{"text":"Stenback, G.A.","contributorId":16249,"corporation":false,"usgs":true,"family":"Stenback","given":"G.A.","email":"","affiliations":[],"preferred":false,"id":457244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crumpton, W.G.","contributorId":92082,"corporation":false,"usgs":true,"family":"Crumpton","given":"W.G.","email":"","affiliations":[],"preferred":false,"id":457247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schilling, K. E.","contributorId":61982,"corporation":false,"usgs":true,"family":"Schilling","given":"K.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":457245,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Helmers, M.J.","contributorId":89380,"corporation":false,"usgs":true,"family":"Helmers","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":457246,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70036643,"text":"70036643 - 2011 - A novel approach reveals that zinc oxide nanoparticles are bioavailable and toxic after dietary exposures","interactions":[],"lastModifiedDate":"2018-10-10T12:27:17","indexId":"70036643","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2809,"text":"Nanotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"A novel approach reveals that zinc oxide nanoparticles are bioavailable and toxic after dietary exposures","docAbstract":"If engineered nanomaterials are released into the environment, some are likely to end up associated with the food of animals due to aggregation and sorption processes. However, few studies have considered dietary exposure of nanomaterials. Here we show that zinc (Zn) from isotopically modified 67ZnO particles is efficiently assimilated by freshwater snails when ingested with food. The 67Zn from nano-sized 67ZnO appears as bioavailable as 67Zn internalized by diatoms. Apparent agglomeration of the zinc oxide (ZnO) particles did not reduce bioavailability, nor preclude toxicity. In the diet, ZnO nanoparticles damage digestion: snails ate less, defecated less and inefficiently processed the ingested food when exposed to high concentrations of ZnO. It was not clear whether the toxicity was due to the high Zn dose achieved with nanoparticles or to the ZnO nanoparticles themselves. Further study of exposure from nanoparticles in food would greatly benefit assessment of ecological and human health risks.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nanotoxicology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Informa UK, Ltd.","doi":"10.3109/17435390.2010.501914","issn":"17435390","usgsCitation":"Croteau, M.N., Dybowska, A., Luoma, S., and Valsami-Jones, E., 2011, A novel approach reveals that zinc oxide nanoparticles are bioavailable and toxic after dietary exposures: Nanotoxicology, v. 5, no. 1, p. 79-90, https://doi.org/10.3109/17435390.2010.501914.","productDescription":"12 p.","startPage":"79","endPage":"90","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":245575,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217618,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3109/17435390.2010.501914"}],"volume":"5","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-07-15","publicationStatus":"PW","scienceBaseUri":"5059e4c6e4b0c8380cd46906","contributors":{"authors":[{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":457129,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dybowska, A.D.","contributorId":85443,"corporation":false,"usgs":true,"family":"Dybowska","given":"A.D.","email":"","affiliations":[],"preferred":false,"id":457130,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luoma, S. N.","contributorId":86353,"corporation":false,"usgs":true,"family":"Luoma","given":"S. N.","affiliations":[],"preferred":false,"id":457131,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valsami-Jones, E.","contributorId":103088,"corporation":false,"usgs":true,"family":"Valsami-Jones","given":"E.","affiliations":[],"preferred":false,"id":457132,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70036548,"text":"70036548 - 2011 - A bacterium that can grow by using arsenic instead of phosphorus","interactions":[],"lastModifiedDate":"2020-01-13T06:37:10","indexId":"70036548","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"A bacterium that can grow by using arsenic instead of phosphorus","docAbstract":"Life is mostly composed of the elements carbon, hydrogen, nitrogen, oxygen, sulfur, and phosphorus. Although these six elements make up nucleic acids, proteins, and lipids and thus the bulk of living matter, it is theoretically possible that some other elements in the periodic table could serve the same functions. Here, we describe a bacterium, strain GFAJ-1 of the Halomonadaceae, isolated from Mono Lake, California, that is able to substitute arsenic for phosphorus to sustain its growth. Our data show evidence for arsenate in macromolecules that normally contain phosphate, most notably nucleic acids and proteins. Exchange of one of the major bio-elements may have profound evolutionary and geochemical importance.","language":"English","publisher":"Science","doi":"10.1126/science.1197258","issn":"00368075","usgsCitation":"Wolfe-Simon, F., Blum, J.S., Kulp, T., Rattray, G.W., Hoeft, S., Pett-Ridge, J., Stolz, J., Webb, S., Weber, P., Davies, P., Anbar, A., and Oremland, R., 2011, A bacterium that can grow by using arsenic instead of phosphorus: Science, v. 332, no. 6034, p. 1163-1166, https://doi.org/10.1126/science.1197258.","productDescription":"4 p.","startPage":"1163","endPage":"1166","numberOfPages":"4","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":475292,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1016932","text":"External Repository"},{"id":245600,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"332","issue":"6034","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e316e4b0c8380cd45dff","contributors":{"authors":[{"text":"Wolfe-Simon, Felisa","contributorId":37167,"corporation":false,"usgs":true,"family":"Wolfe-Simon","given":"Felisa","affiliations":[],"preferred":false,"id":456676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blum, Jodi S. jsblum@usgs.gov","contributorId":4263,"corporation":false,"usgs":true,"family":"Blum","given":"Jodi","email":"jsblum@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":779349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kulp, T.R.","contributorId":33032,"corporation":false,"usgs":true,"family":"Kulp","given":"T.R.","email":"","affiliations":[],"preferred":false,"id":456674,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rattray, Gordon W. 0000-0002-1690-3218 grattray@usgs.gov","orcid":"https://orcid.org/0000-0002-1690-3218","contributorId":2521,"corporation":false,"usgs":true,"family":"Rattray","given":"Gordon","email":"grattray@usgs.gov","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":779350,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoeft, S.E.","contributorId":24479,"corporation":false,"usgs":true,"family":"Hoeft","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":456673,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pett-Ridge, J.","contributorId":47129,"corporation":false,"usgs":true,"family":"Pett-Ridge","given":"J.","affiliations":[],"preferred":false,"id":456677,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stolz, J.F.","contributorId":94022,"corporation":false,"usgs":true,"family":"Stolz","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":456680,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Webb, S.M.","contributorId":12959,"corporation":false,"usgs":true,"family":"Webb","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":456671,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Weber, P.K.","contributorId":53574,"corporation":false,"usgs":true,"family":"Weber","given":"P.K.","affiliations":[],"preferred":false,"id":456678,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Davies, P.C.W.","contributorId":21015,"corporation":false,"usgs":true,"family":"Davies","given":"P.C.W.","email":"","affiliations":[],"preferred":false,"id":456672,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Anbar, A.D.","contributorId":36365,"corporation":false,"usgs":true,"family":"Anbar","given":"A.D.","affiliations":[],"preferred":false,"id":456675,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Oremland, R.S.","contributorId":97512,"corporation":false,"usgs":true,"family":"Oremland","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":456681,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70036502,"text":"70036502 - 2011 - Effects of sediment-associated extractable metals, degree of sediment grain sorting, and dissolved organic carbon upon Cryptosporidium parvum removal and transport within riverbank filtration sediments, Sonoma County, California","interactions":[],"lastModifiedDate":"2020-01-11T11:11:04","indexId":"70036502","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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}},"displayTitle":"Effects of sediment-associated extractable metals, degree of sediment grain sorting, and dissolved organic carbon upon Cryptosporidium parvum removal and transport within riverbank filtration sediments, Sonoma County, California","title":"Effects of sediment-associated extractable metals, degree of sediment grain sorting, and dissolved organic carbon upon Cryptosporidium parvum removal and transport within riverbank filtration sediments, Sonoma County, California","docAbstract":"Oocysts of the protozoan pathogen Cryptosporidium parvum are of particular concern for riverbank filtration (RBF) operations because of their persistence, ubiquity, and resistance to chlorine disinfection. At the Russian River RBF site (Sonoma County, CA), transport of C. parvumoocysts and oocyst-sized (3 μm) carboxylate-modified microspheres through poorly sorted (sorting indices, σ1, up to 3.0) and geochemically heterogeneous sediments collected between 2 and 25 m below land surface (bls) were assessed. Removal was highly sensitive to variations in both the quantity of extractable metals (mainly Fe and Al) and degree of grain sorting. In flow-through columns, there was a log–linear relationship (r2 = 0.82 at p < 0.002) between collision efficiency (α, the probability that colloidal collisions with grain surfaces would result in attachment) and extractable metals, and a linear relationship (r2 = 0.99 at p < 0.002) between α and σ1. Collectively, variability in extractable metals and grain sorting accounted for ∼83% of the variability in α (at p < 0.0002) along the depth profiles. Amendments of 2.2 mg L–1 of Russian River dissolved organic carbon (DOC) reduced α for oocysts by 4–5 fold. The highly reactive hydrophobic organic acid (HPOA) fraction was particularly effective in re-entraining sediment-attached microspheres. However, the transport-enhancing effects of the riverine DOC did not appear to penetrate very deeply into the underlying sediments, judging from high α values (∼1.0) observed for oocysts being advected through unamended sediments collected at ∼2 m bls. This study suggests that in evaluating the efficacy of RBF operations to remove oocysts, it may be necessary to consider not only the geochemical nature and size distribution of the sediment grains, but also the degrees of sediment sorting and the concentration, reactivity, and penetration of the source water DOC.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/es200544p","usgsCitation":"Metge, D., Harvey, R., Aiken, G., Anders, R., Lincoln, G., Jasperse, J., and Hill, M.C., 2011, Effects of sediment-associated extractable metals, degree of sediment grain sorting, and dissolved organic carbon upon Cryptosporidium parvum removal and transport within riverbank filtration sediments, Sonoma County, California: Environmental Science & Technology, v. 45, no. 13, p. 5587-5595, https://doi.org/10.1021/es200544p.","productDescription":"9 p.","startPage":"5587","endPage":"5595","ipdsId":"IP-027485","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":246584,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Sonoma 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