{"pageNumber":"2180","pageRowStart":"54475","pageSize":"25","recordCount":184579,"records":[{"id":70033358,"text":"70033358 - 2008 - Diurnal variations in, and influences on, concentrations of particulate and dissolved arsenic and metals in the mildly alkaline Wallkill River, New Jersey, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:21:35","indexId":"70033358","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1539,"text":"Environmental Geology","active":true,"publicationSubtype":{"id":10}},"title":"Diurnal variations in, and influences on, concentrations of particulate and dissolved arsenic and metals in the mildly alkaline Wallkill River, New Jersey, USA","docAbstract":"Diurnal variations in particulate and dissolved As and metal concentrations were observed in mildly alkaline water from a wetlands site on the Wallkill River in northwestern New Jersey. The site, underlain by glacial sediments over dolomite bedrock, is 10 km downstream from a mined area of the Franklin Marble, host to Zn ores, also As and Mn minerals. In mid-September 2005, maxima and minima in dissolved-oxygen-concentration and pH, typically caused by photosynthesis and respiration, occurred at 2000 and 0800 hours. Concentrations of dissolved As (1.52-1.95 ??g/L) peaked at dusk (2000 hours), whereas dissolved Mn and Zn concentrations (76.5-96.9 and 8.55-12.8 ??g/L, respectively) were lowest at dusk and peaked at 1000 hours. These opposing cycles probably reflect sorption and desorption of As (an anion), and Mn and Zn (cations) as pH varied throughout the 24-h period. Doubly-peaked cycles of B, Cl, SO4, and nutrients also were observed; these may result from upstream discharges of septic-system effluent. Both recoverable amd particulate Al, Fe, Mn, and Zn concentrations peaked between 0200 and 0600 hours. The particulate metals cycle, with perturbations at 0400 hours, may be influenced by biological activity. ?? 2007 Springer-Verlag.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s00254-007-0708-8","issn":"09430105","usgsCitation":"Barringer, J.L., Wilson, T., Szabo, Z., Bonin, J., Fischer, J., and Smith, N., 2008, Diurnal variations in, and influences on, concentrations of particulate and dissolved arsenic and metals in the mildly alkaline Wallkill River, New Jersey, USA: Environmental Geology, v. 53, no. 6, p. 1183-1199, https://doi.org/10.1007/s00254-007-0708-8.","startPage":"1183","endPage":"1199","numberOfPages":"17","costCenters":[],"links":[{"id":213438,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00254-007-0708-8"},{"id":241064,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"6","noUsgsAuthors":false,"publicationDate":"2007-03-21","publicationStatus":"PW","scienceBaseUri":"505a0345e4b0c8380cd503cf","contributors":{"authors":[{"text":"Barringer, J. L.","contributorId":13994,"corporation":false,"usgs":true,"family":"Barringer","given":"J.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":440488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, T.P. 0000-0003-1914-6344","orcid":"https://orcid.org/0000-0003-1914-6344","contributorId":99795,"corporation":false,"usgs":true,"family":"Wilson","given":"T.P.","affiliations":[],"preferred":false,"id":440493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Szabo, Z. 0000-0002-0760-9607","orcid":"https://orcid.org/0000-0002-0760-9607","contributorId":44302,"corporation":false,"usgs":true,"family":"Szabo","given":"Z.","affiliations":[],"preferred":false,"id":440490,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonin, J.L. 0000-0002-5813-3549","orcid":"https://orcid.org/0000-0002-5813-3549","contributorId":55642,"corporation":false,"usgs":true,"family":"Bonin","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":440491,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fischer, J.M. 0000-0003-2996-9272","orcid":"https://orcid.org/0000-0003-2996-9272","contributorId":74419,"corporation":false,"usgs":true,"family":"Fischer","given":"J.M.","affiliations":[],"preferred":false,"id":440492,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, N.P.","contributorId":20225,"corporation":false,"usgs":true,"family":"Smith","given":"N.P.","email":"","affiliations":[],"preferred":false,"id":440489,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70044708,"text":"70044708 - 2008 - Rocky XI -- The life of a quarry","interactions":[],"lastModifiedDate":"2013-06-05T11:46:57","indexId":"70044708","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":674,"text":"Aggregates Manager","active":true,"publicationSubtype":{"id":10}},"title":"Rocky XI -- The life of a quarry","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aggregates Manager","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Randall Reilly","usgsCitation":"Langer, W.H., 2008, Rocky XI -- The life of a quarry: Aggregates Manager, v. 13, no. 11.","startPage":"60","ipdsId":"IP-007322","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":273310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b05dece4b030b5198012dd","contributors":{"authors":[{"text":"Langer, W. H.","contributorId":44932,"corporation":false,"usgs":true,"family":"Langer","given":"W.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":476250,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70031980,"text":"70031980 - 2008 - A linked hydrodynamic and water quality model for the Salton Sea","interactions":[],"lastModifiedDate":"2018-02-06T12:19:24","indexId":"70031980","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"A linked hydrodynamic and water quality model for the Salton Sea","docAbstract":"A linked hydrodynamic and water quality model was developed and applied to the Salton Sea. The hydrodynamic component is based on the one-dimensional numerical model, DLM. The water quality model is based on a new conceptual model for nutrient cycling in the Sea, and simulates temperature, total suspended sediment concentration, nutrient concentrations, including PO4-3, NO3-1 and NH4+1, DO concentration and chlorophyll a concentration as functions of depth and time. Existing water temperature data from 1997 were used to verify that the model could accurately represent the onset and breakup of thermal stratification. 1999 is the only year with a near-complete dataset for water quality variables for the Salton Sea. The linked hydrodynamic and water quality model was run for 1999, and by adjustment of rate coefficients and other water quality parameters, a good match with the data was obtained. In this article, the model is fully described and the model results for reductions in external phosphorus load on chlorophyll a distribution are presented. ?? 2008 Springer Science+Business Media B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrobiologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10750-008-9311-6","issn":"00188158","usgsCitation":"Chung, E., Schladow, S., Perez-Losada, J., and Robertson, D.M., 2008, A linked hydrodynamic and water quality model for the Salton Sea: Hydrobiologia, v. 604, no. 1, p. 57-75, https://doi.org/10.1007/s10750-008-9311-6.","startPage":"57","endPage":"75","numberOfPages":"19","costCenters":[],"links":[{"id":242392,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214648,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10750-008-9311-6"}],"volume":"604","issue":"1","noUsgsAuthors":false,"publicationDate":"2008-03-18","publicationStatus":"PW","scienceBaseUri":"5059e438e4b0c8380cd464f0","contributors":{"authors":[{"text":"Chung, E.G.","contributorId":89773,"corporation":false,"usgs":true,"family":"Chung","given":"E.G.","email":"","affiliations":[],"preferred":false,"id":433987,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schladow, S.G.","contributorId":92791,"corporation":false,"usgs":true,"family":"Schladow","given":"S.G.","email":"","affiliations":[],"preferred":false,"id":433988,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perez-Losada, J.","contributorId":48054,"corporation":false,"usgs":true,"family":"Perez-Losada","given":"J.","email":"","affiliations":[],"preferred":false,"id":433986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":433985,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70035624,"text":"70035624 - 2008 - The 2005 catastrophic acid crater lake drainage, lahar, and acidic aerosol formation at Mount Chiginagak volcano, Alaska, USA: Field observations and preliminary water and vegetation chemistry results","interactions":[],"lastModifiedDate":"2019-04-03T10:55:42","indexId":"70035624","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"The 2005 catastrophic acid crater lake drainage, lahar, and acidic aerosol formation at Mount Chiginagak volcano, Alaska, USA: Field observations and preliminary water and vegetation chemistry results","docAbstract":"A mass of snow and ice 400-m-wide and 105-m-thick began melting in the summit crater of Mount Chiginagak volcano sometime between November 2004 and early May 2005, presumably owing to increased heat flux from the hydrothermal system, or possibly from magma intrusion and degassing. In early May 2005, an estimated 3.8??10<sup>6</sup> m<sup>3</sup> of sulfurous, clay-rich debris and acidic water, with an accompanying acidic aerosol component, exited the crater through a tunnel at the base of a glacier that breaches the south crater rim. Over 27 km downstream, the acidic waters of the flood inundated an important salmon spawning drainage, acidifying Mother Goose Lake from surface to depth (approximately 0.5 km<sup>3</sup> in volume at a pH of 2.9 to 3.1), killing all aquatic life, and preventing the annual salmon run. Over 2 months later, crater lake water sampled 8 km downstream of the outlet after considerable dilution from glacial meltwater was a weak sulfuric acid solution (pH = 3.2, SO<sub>4</sub> = 504 mg/L, Cl = 53.6 mg/L, and F = 7.92 mg/L). The acid flood waters caused severe vegetation damage, including plant death and leaf kill along the flood path. The crater lake drainage was accompanied by an ambioructic flow of acidic aerosols that followed the flood path, contributing to defoliation and necrotic leaf damage to vegetation in a 29 km<sup>2</sup> area along and above affected streams, in areas to heights of over 150 m above stream level. Moss species killed in the event contained high levels of sulfur, indicating extremely elevated atmospheric sulfurcontent. The most abundant airborne phytotoxic constituent was likely sulfuric acid aerosols that were generated during the catastrophic partial crater lake drainage event. Two mechanisms of acidic aerosol formation are proposed: (1) generation of aerosol mist through turbulent flow of acidic water and (2) catastrophic gas exsolution. This previously undocumented phenomenon of simultaneous vegetationdamaging acidic aerosols accompanying drainage of an acidic crater lake has important implications for the study of hazards associated with active volcanic crater lakes. Copyright 2008 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochemistry, Geophysics, Geosystems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2007GC001900","issn":"15252027","usgsCitation":"Schaefer, J., Scott, W.E., Evans, W.C., Jorgenson, J., McGimsey, R.G., and Wang, B., 2008, The 2005 catastrophic acid crater lake drainage, lahar, and acidic aerosol formation at Mount Chiginagak volcano, Alaska, USA: Field observations and preliminary water and vegetation chemistry results: Geochemistry, Geophysics, Geosystems, v. 9, no. 7, https://doi.org/10.1029/2007GC001900.","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":476797,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2007gc001900","text":"Publisher Index Page"},{"id":243912,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216070,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2007GC001900"}],"volume":"9","issue":"7","noUsgsAuthors":false,"publicationDate":"2008-07-24","publicationStatus":"PW","scienceBaseUri":"505ba648e4b08c986b321005","contributors":{"authors":[{"text":"Schaefer, J.R.","contributorId":48785,"corporation":false,"usgs":true,"family":"Schaefer","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":451533,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, W. E.","contributorId":22773,"corporation":false,"usgs":true,"family":"Scott","given":"W.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":451531,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evans, William C.","contributorId":104903,"corporation":false,"usgs":true,"family":"Evans","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":451536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jorgenson, J.","contributorId":75780,"corporation":false,"usgs":true,"family":"Jorgenson","given":"J.","email":"","affiliations":[],"preferred":false,"id":451534,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGimsey, R. G.","contributorId":93921,"corporation":false,"usgs":true,"family":"McGimsey","given":"R.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":451535,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, B.","contributorId":29011,"corporation":false,"usgs":true,"family":"Wang","given":"B.","email":"","affiliations":[],"preferred":false,"id":451532,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":86194,"text":"sir20085159 - 2008 - Preliminary Volcano-Hazard Assessment for Gareloi Volcano, Gareloi Island, Alaska","interactions":[],"lastModifiedDate":"2019-03-13T15:03:09","indexId":"sir20085159","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","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":"2008-5159","title":"Preliminary Volcano-Hazard Assessment for Gareloi Volcano, Gareloi Island, Alaska","docAbstract":"Gareloi Volcano (178.794 degrees W and 51.790 degrees N) is located on Gareloi Island in the Delarof Islands group of the Aleutian Islands, about 2,000 kilometers west-southwest of Anchorage and about 150 kilometers west of Adak, the westernmost community in Alaska. This small (about 8x10 kilometer) volcano has been one of the most active in the Aleutians since its discovery by the Bering expedition in the 1740s, though because of its remote location, observations have been scant and many smaller eruptions may have gone unrecorded. Eruptions of Gareloi commonly produce ash clouds and lava flows. Scars on the flanks of the volcano and debris-avalanche deposits on the adjacent seafloor indicate that the volcano has produced large landslides in the past, possibly causing tsunamis. Such events are infrequent, occurring at most every few thousand years. The primary hazard from Gareloi is airborne clouds of ash that could affect aircraft. In this report, we summarize and describe the major volcanic hazards associated with Gareloi.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20085159","usgsCitation":"Coombs, M.L., McGimsey, R.G., and Browne, B., 2008, Preliminary Volcano-Hazard Assessment for Gareloi Volcano, Gareloi Island, Alaska: U.S. Geological Survey Scientific Investigations Report 2008-5159, Report: vi, 27 p.; Plate: 30 x 20 inches, https://doi.org/10.3133/sir20085159.","productDescription":"Report: vi, 27 p.; Plate: 30 x 20 inches","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":195094,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11771,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5159/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a27e4b07f02db61066d","contributors":{"authors":[{"text":"Coombs, Michelle L. 0000-0002-6002-6806 mcoombs@usgs.gov","orcid":"https://orcid.org/0000-0002-6002-6806","contributorId":2809,"corporation":false,"usgs":true,"family":"Coombs","given":"Michelle","email":"mcoombs@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":297138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGimsey, Robert G. 0000-0001-5379-7779 mcgimsey@usgs.gov","orcid":"https://orcid.org/0000-0001-5379-7779","contributorId":2352,"corporation":false,"usgs":true,"family":"McGimsey","given":"Robert","email":"mcgimsey@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":297137,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Browne, Brandon L.","contributorId":21646,"corporation":false,"usgs":true,"family":"Browne","given":"Brandon L.","affiliations":[],"preferred":false,"id":297139,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":1004087,"text":"1004087 - 2008 - Genetic diversity among sea otter isolates of Toxoplasma gondii","interactions":[],"lastModifiedDate":"2023-10-23T18:47:21.652003","indexId":"1004087","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3686,"text":"Veterinary Parasitology","active":true,"publicationSubtype":{"id":10}},"title":"Genetic diversity among sea otter isolates of Toxoplasma gondii","docAbstract":"<p><span>Sea otters (</span><i>Enhydra lutris</i><span>) have been reported to become infected with<span>&nbsp;</span></span><i>Toxoplasma gondii</i><span>and at times succumb to clinical disease. Here, we determined genotypes of 39<span>&nbsp;</span></span><i>T. gondii</i><span>isolates from 37 sea otters in two geographically distant locations (25 from California and 12 from Washington). Six genotypes were identified using 10 PCR-RFLP genetic markers including SAG1, SAG2, SAG3, BTUB, GRA6, c22-8, c29-2, L358, PK1, and Apico, and by DNA sequencing of loci SAG1 and GRA6 in 13 isolates. Of these 39 isolates, 13 (33%) were clonal Type II which can be further divided into two groups at the locus Apico. Two of the 39 isolates had Type II alleles at all loci except a Type I allele at locus L358. One isolate had Type II alleles at all loci except the Type I alleles at loci L358 and Apico. One isolate had Type III alleles at all loci except Type II alleles at SAG2 and Apico. Two sea otter isolates had a mixed infection. Twenty-one (54%) isolates had an unique allele at SAG1 locus. Further genotyping or DNA sequence analysis for 18 of these 21 isolates at loci SAG1 and GRA6 revealed that there were two different genotypes, including the previously identified Type X (four isolates) and a new genotype named Type A (14 isolates). The results from this study suggest that the sea otter isolates are genetically diverse.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.vetpar.2007.11.012","usgsCitation":"Sundar, N., Cole, R.A., Thomas, N., Majumdar, D., Dubey, J., and Su, C., 2008, Genetic diversity among sea otter isolates of Toxoplasma gondii: Veterinary Parasitology, v. 151, no. 2-4, p. 125-132, https://doi.org/10.1016/j.vetpar.2007.11.012.","productDescription":"8 p.","startPage":"125","endPage":"132","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-008091","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":135503,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, 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 \"}}]}","volume":"151","issue":"2-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b20e4b07f02db6abafe","contributors":{"authors":[{"text":"Sundar, N.","contributorId":80640,"corporation":false,"usgs":true,"family":"Sundar","given":"N.","email":"","affiliations":[],"preferred":false,"id":315146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cole, Rebecca A. 0000-0003-2923-1622 rcole@usgs.gov","orcid":"https://orcid.org/0000-0003-2923-1622","contributorId":2873,"corporation":false,"usgs":true,"family":"Cole","given":"Rebecca","email":"rcole@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":315143,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, N. J. 0000-0002-0161-0391","orcid":"https://orcid.org/0000-0002-0161-0391","contributorId":49731,"corporation":false,"usgs":true,"family":"Thomas","given":"N. J.","affiliations":[],"preferred":false,"id":315144,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Majumdar, D.","contributorId":10017,"corporation":false,"usgs":true,"family":"Majumdar","given":"D.","email":"","affiliations":[],"preferred":false,"id":315141,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dubey, J. P.","contributorId":80609,"corporation":false,"usgs":false,"family":"Dubey","given":"J. P.","affiliations":[],"preferred":false,"id":315145,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Su, C.","contributorId":18334,"corporation":false,"usgs":false,"family":"Su","given":"C.","email":"","affiliations":[],"preferred":false,"id":315142,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":1016474,"text":"1016474 - 2008 - Organochlorine pesticide, polychlorinated biphenyl, trace element and metal residues in bird eggs from Salton Sea, California, 2004","interactions":[],"lastModifiedDate":"2012-02-02T00:04:52","indexId":"1016474","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Organochlorine pesticide, polychlorinated biphenyl, trace element and metal residues in bird eggs from Salton Sea, California, 2004","docAbstract":"The Salton Sea is a highly eutrophic, hypersaline terminal lake that receives inflows primarily from agricultural drainages in the Imperial and Coachella valleys. Impending reductions in water inflow at Salton Sea may concentrate existing contaminants which have been a concern for many years, and result in higher exposure to birds. Thus, waterbird eggs were collected and analyzed in 2004 and compared with residue concentrations from earlier years; these data provide a base for future comparisons. Eggs from four waterbird species (black-crowned night-heron [Nycticorax nycticorax], great egret [Ardea alba], black-necked stilt [Himantopus mexicanus], and American avocet [Recurvirostra Americana]) were collected. Eggs were analyzed for organochlorine pesticides, polychlorinated biphenyls (PCBs), metals, and trace elements, with current results compared to those reported for eggs collected from the same species and others during 1985a??1993. The two contaminants of primary concern were p,pa??-DDE (DDE) and selenium. DDE concentrations in night-heron and great egret eggs collected from the northwest corner of Salton Sea (Whitewater River delta) decreased 91 and 95%, respectively, by 2004, with a concomitant increase in eggshell thickness for both species. Decreases in bird egg DDE levels paralleled those in tissues of tilapia (Oreochromis mossambicus ?? O. urolepis), an important prey species for herons and egrets. Despite most nests of night-herons and great egrets failing in 2004 due to predation, predicted reproductive effects based on DDE concentrations in eggs were low or negligible for these species. The 2004 DDE findings were in dramatic contrast to those in the past decade, and included an 81% decrease in black-necked stilt eggs, although concentrations were lower historically than those reported in night-herons and egrets. Selenium concentrations in black-necked stilt eggs from the southeast corner of Salton Sea (Davis Road) were similar in 1993 and 2004, with 4.5a??7.6% of the clutches estimated to be selenium impaired during both time periods. Because of present selenium concentrations and future reduced water inflow, the stilt population is of special concern. Between 1992 and 1993 and 2004 selenium in night-heron and great egret eggs from the Whitewater River delta at the north end of the Sea decreased by 81 and 55%, respectively. None of the night-heron or egret eggs collected in 2004 contained selenium concentrations above the lowest reported effect concentration (6.0 I?g/g dw). Reasons for selenium decreases in night-heron and egret eggs are unknown. Other contaminants evaluated in 2004 were all below known effect concentrations. However, in spite of generally low contaminant levels in 2004, the nesting populations of night-herons and great egrets at Salton Sea were greatly reduced from earlier years and snowy egrets (Egretta thula) were not found nesting. Other factors that include predation, reduced water level, diminished roost and nest sites, increased salinity, eutrophication, and reduced fish populations can certainly influence avian populations. Future monitoring, to validate predicted responses by birds, other organisms, and contaminant loadings associated with reduced water inflows, together with adaptive management should be the operational framework at the Salton Sea.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrobiologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","usgsCitation":"Henny, C.J., Anderson, T.W., and Crayon, J., 2008, Organochlorine pesticide, polychlorinated biphenyl, trace element and metal residues in bird eggs from Salton Sea, California, 2004: Hydrobiologia, v. 604, no. 1, p. 137-149.","productDescription":"p.137-149","startPage":"137","endPage":"149","numberOfPages":"13","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":134983,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"604","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae5e4b07f02db68aa19","contributors":{"authors":[{"text":"Henny, Charles J. 0000-0001-7474-350X hennyc@usgs.gov","orcid":"https://orcid.org/0000-0001-7474-350X","contributorId":3461,"corporation":false,"usgs":true,"family":"Henny","given":"Charles","email":"hennyc@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":324280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, T. W.","contributorId":105686,"corporation":false,"usgs":true,"family":"Anderson","given":"T.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":324282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crayon, J.J.","contributorId":91810,"corporation":false,"usgs":true,"family":"Crayon","given":"J.J.","affiliations":[],"preferred":false,"id":324281,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":86138,"text":"ofr20081251 - 2008 - Development and Application of a Decision Support System for Water Management Investigations in the Upper Yakima River, Washington","interactions":[],"lastModifiedDate":"2012-02-10T00:11:41","indexId":"ofr20081251","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-1251","title":"Development and Application of a Decision Support System for Water Management Investigations in the Upper Yakima River, Washington","docAbstract":"The Yakima River Decision Support System (YRDSS) was designed to quantify and display the consequences of different water management scenarios for a variety of state variables in the upper Yakima River Basin, located in central Washington. The impetus for the YRDSS was the Yakima River Basin Water Storage Feasibility Study, which investigated alternatives for providing additional water in the basin for threatened and endangered fish, irrigated agriculture, and municipal water supply. The additional water supplies would be provided by combinations of water exchanges, pumping stations, and off-channel storage facilities, each of which could affect the operations of the Bureau of Reclamation's (BOR) five headwaters reservoirs in the basin. The driver for the YRDSS is RiverWare, a systems-operations model used by BOR to calculate reservoir storage, irrigation deliveries, and streamflow at downstream locations resulting from changes in water supply and reservoir operations. The YRDSS uses output from RiverWare to calculate and summarize changes at 5 important flood plain reaches in the basin to 14 state variables: (1) habitat availability for selected life stages of four salmonid species, (2) spawning-incubation habitat persistence, (3) potential redd scour, (4) maximum water temperatures, (5) outmigration for bull trout (Salvelinus confluentus) from headwaters reservoirs, (6) outmigration of salmon smolts from Cle Elum Reservoir, (7) frequency of beneficial overbank flooding, (8) frequency of damaging flood events, (9) total deliverable water supply, (10) total water supply deliverable to junior water rights holders, (11) end-of-year reservoir carryover, (12) potential fine sediment transport rates, (13) frequency of events capable of armor layer disruption, and (14) geomorphic work performed during each water year. Output of the YRDSS consists of a series of conditionally formatted scoring tables, wherein the changes to a state variable resulting from an operational scenario are compiled and summarized. Increases in the values for state variables result in their respective backgrounds to turn green in the scoring matrix, whereas decreases in the values for state variables result in their respective backgrounds turning red. This convention was designed to provide decision makers with a quick visual assessment of the overall results of an operating scenario. An evaluation matrix and a variety of weighting strategies to reflect the relative importance of different state variables are also presented as options for further distillation of YRDSS results during the decision-making process.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081251","usgsCitation":"Bovee, K.D., Waddle, T.J., Talbert, C., Hatten, J.R., and Batt, T.R., 2008, Development and Application of a Decision Support System for Water Management Investigations in the Upper Yakima River, Washington (Version 1.0): U.S. Geological Survey Open-File Report 2008-1251, xviii, 289 p., https://doi.org/10.3133/ofr20081251.","productDescription":"xviii, 289 p.","startPage":"0","endPage":"0","onlineOnly":"Y","costCenters":[],"links":[{"id":190632,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11705,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1251/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.75,46 ], [ -121.75,47.5 ], [ -119,47.5 ], [ -119,46 ], [ -121.75,46 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa7e4b07f02db6672ef","contributors":{"authors":[{"text":"Bovee, Ken D.","contributorId":100447,"corporation":false,"usgs":true,"family":"Bovee","given":"Ken","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":296927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, Terry J.","contributorId":43430,"corporation":false,"usgs":true,"family":"Waddle","given":"Terry","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":296926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Talbert, Colin talbertc@usgs.gov","contributorId":4668,"corporation":false,"usgs":true,"family":"Talbert","given":"Colin","email":"talbertc@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":296925,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatten, James R. 0000-0003-4676-8093 jhatten@usgs.gov","orcid":"https://orcid.org/0000-0003-4676-8093","contributorId":3431,"corporation":false,"usgs":true,"family":"Hatten","given":"James","email":"jhatten@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":296923,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Batt, Thomas R. tbatt@usgs.gov","contributorId":3432,"corporation":false,"usgs":true,"family":"Batt","given":"Thomas","email":"tbatt@usgs.gov","middleInitial":"R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":296924,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":86128,"text":"ofr20081245 - 2008 - Techniques for Monitoring Razorback Sucker in the Lower Colorado River, Hoover to Parker Dams, 2006-2007, Final Report","interactions":[],"lastModifiedDate":"2012-02-02T00:14:16","indexId":"ofr20081245","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2008-1245","title":"Techniques for Monitoring Razorback Sucker in the Lower Colorado River, Hoover to Parker Dams, 2006-2007, Final Report","docAbstract":"Trammel netting is generally the accepted method of monitoring razorback sucker in reservoirs, but this method is ineffective for monitoring this fish in rivers. Trammel nets set in the current become fouled with debris, and nets set in backwaters capture high numbers of nontarget species. Nontargeted fish composed 97 percent of fish captured in previous studies (1999-2005). In 2005, discovery of a large spawning aggregation of razorback sucker in midchannel near Needles, Calif., prompted the development of more effective methods to monitor this and possibly other riverine fish populations. \r\nThis study examined the effectiveness of four methods of monitoring razorback sucker in a riverine environment. Hoop netting, electrofishing, boat surveys, and aerial photography were evaluated in terms of data accuracy, costs, stress on targeted fish, and effect on nontargeted fish as compared with trammel netting. \r\nTrammel netting in the riverine portion of the Colorado River downstream of Davis Dam, Arizona-Nevada yielded an average of 43 razorback suckers a year (1999 to 2005). Capture rates averaged 0.5 razorback suckers per staff day effort, at a cost exceeding $1,100 per fish. Population estimates calculated for 2003-2005 were 3,570 (95 percent confidence limits [CL] = 1,306i??i??i??-8,925), 1,768 (CL = 878-3,867) and 1,652 (CL = 706-5,164); wide confidence ranges reflect the small sample size. By-catch associated with trammel netting included common carp, game fish and, occasionally, shorebirds, waterfowl, and muskrats. \r\nHoop nets were prone to downstream drift owing to design and anchoring problems aggravated by hydropower ramping. Tests were dropped after the 2006 field season and replaced with electrofishing. \r\nElectrofishing at night during low flow and when spawning razorback suckers moved to the shoreline proved extremely effective. In 2006 and 2007, 263 and 299 (respectively) razorback suckers were taken. Capture rates averaged 8.3 razorback suckers per staff day at a cost of $62 per fish. The adult population was estimated at 1,196 (925-1,546) fish. Compared with trammel netting, confidence limits narrowed substantially, from +or- 500 percent to +or- 30 percent, reflecting more precise estimates. By-catch was limited to two common carp. No recreational game fish, waterfowl, or mammals were captured or handled during use of electrofishing. \r\nAerial photography (2006 and 2007) suggested an annual average of 580 fish detected on imagery. Identification of species was not possible; carp commonly have been mistaken for razorback sucker. Field verification determined that the proportion of razorback suckers to other fish was 3:1. On that basis, we estimated 435 razorback suckers were photographed, which equals 8.4 razorback suckers per staff day at a cost of $78 per fish. The data did not lend itself to population estimates. \r\nFish were more easily identified from boats, where their lateral rather than their dorsal aspect is visible. On average, 888 razorback suckers were positively identified each year. Observation rates averaged 29.6 razorback suckers per staff day at a cost less than $18 per fish observed. Sucker densities averaged 20.5 and 9.6 fish/hectare which equated to an average spawning population at Needles, Calif., of 2,520 in 2006 and 1152 in 2007. The lower 2007 estimate reflected a refinement in sampling approach which removed a sampling bias. \r\nElectrofishing and boat surveys were more cost effective than other methods tested, and they provided more accurate information without the by-catch associated with trammel netting. However, they provided different types of data. Handling fish may be necessary for research purposes but unnecessary for general trend analysis. Electrofishing was extremely effective but can harm fish if not used with caution. Unnecessary electrofishing increases the likelihood of spinal damage and possible damage to eggs and potential young, and it may alter spawning behavior or duration. B","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081245","collaboration":"Prepared in cooperation with the Bureau of Reclamation, TSC, Denver, Colorado under the Multi-Species Conservation Program Work Task G-3 Adaptive Management Research Project and Conservation Measure RASU-6, Lower Colorado Regional Office, Boulder City, Nevada","usgsCitation":"Mueller, G.A., Wydoski, R., Best, E., Hiebert, S., Lantow, J., Santee, M., Goettlicher, B., and Millosovich, J., 2008, Techniques for Monitoring Razorback Sucker in the Lower Colorado River, Hoover to Parker Dams, 2006-2007, Final Report (Version 1.0): U.S. Geological Survey Open-File Report 2008-1245, vi, 34 p., https://doi.org/10.3133/ofr20081245.","productDescription":"vi, 34 p.","startPage":"0","endPage":"0","onlineOnly":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":190786,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11695,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1245/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adce4b07f02db686189","contributors":{"authors":[{"text":"Mueller, Gordon A.","contributorId":86420,"corporation":false,"usgs":true,"family":"Mueller","given":"Gordon","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":296903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wydoski, Richard","contributorId":14843,"corporation":false,"usgs":true,"family":"Wydoski","given":"Richard","affiliations":[],"preferred":false,"id":296896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Best, Eric","contributorId":39071,"corporation":false,"usgs":true,"family":"Best","given":"Eric","email":"","affiliations":[],"preferred":false,"id":296900,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hiebert, Steve","contributorId":52216,"corporation":false,"usgs":true,"family":"Hiebert","given":"Steve","email":"","affiliations":[],"preferred":false,"id":296901,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lantow, Jeff","contributorId":18066,"corporation":false,"usgs":true,"family":"Lantow","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":296897,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Santee, Mark","contributorId":30693,"corporation":false,"usgs":true,"family":"Santee","given":"Mark","email":"","affiliations":[],"preferred":false,"id":296899,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goettlicher, Bill","contributorId":60723,"corporation":false,"usgs":true,"family":"Goettlicher","given":"Bill","email":"","affiliations":[],"preferred":false,"id":296902,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Millosovich, Joe","contributorId":20425,"corporation":false,"usgs":true,"family":"Millosovich","given":"Joe","email":"","affiliations":[],"preferred":false,"id":296898,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70182242,"text":"70182242 - 2008 - Mathematical models frame environmental dispute [Review of the article Useless arithmetic: Ten points to ponder when using mathematical models in environmental decision making]","interactions":[],"lastModifiedDate":"2017-02-22T09:39:21","indexId":"70182242","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5301,"text":"Public Administration Review","active":true,"publicationSubtype":{"id":10}},"title":"Mathematical models frame environmental dispute [Review of the article Useless arithmetic: Ten points to ponder when using mathematical models in environmental decision making]","docAbstract":"<p>When Linda Pilkey- Jarvis and Orrin Pilkey state in their article, \"Useless Arithmetic,\" that \"mathematical models are simplified, generalized representations of a process or system,\" they probably do not mean to imply that these models are simple. Rather, the models are simpler than nature and that is the heart of the problem with predictive models. We have had a long professional association with the developers and users of one of these simplifications of nature in the form of a mathematical model known as Physical Habitat Simulation (PHABSIM), which is part of the Instream Flow Incremental Methodology (IFIM). The IFIM is a suite of techniques, including PHABSIM, that allows the analyst to incorporate hydrology , hydraulics, habitat, water quality, stream temperature, and other variables into a tradeoff analysis that decision makers can use to design a flow regime to meet management objectives (Stalnaker et al. 1995). Although we are not the developers of the IFIM, we have worked with those who did design it, and we have tried to understand how the IFIM and PHABSIM are actually used in decision making (King, Burkardt, and Clark 2006; Lamb 1989).</p>","language":"English","publisher":"American Society for Public Administration","usgsCitation":"Lamb, B.L., and Burkardt, N., 2008, Mathematical models frame environmental dispute [Review of the article Useless arithmetic: Ten points to ponder when using mathematical models in environmental decision making]: Public Administration Review, v. 68, no. 3, p. 55-60.","productDescription":"6 p.","startPage":"55","endPage":"60","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":335913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"68","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58aeb13de4b01ccd54f9ee22","contributors":{"authors":[{"text":"Lamb, Berton Lee","contributorId":96784,"corporation":false,"usgs":true,"family":"Lamb","given":"Berton","email":"","middleInitial":"Lee","affiliations":[],"preferred":false,"id":670197,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burkardt, Nina 0000-0002-9392-9251 burkardtn@usgs.gov","orcid":"https://orcid.org/0000-0002-9392-9251","contributorId":2781,"corporation":false,"usgs":true,"family":"Burkardt","given":"Nina","email":"burkardtn@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":670198,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70160080,"text":"70160080 - 2008 - Auditory monitoring of anuran populations: Chapter 16","interactions":[],"lastModifiedDate":"2015-12-10T12:51:22","indexId":"70160080","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"subseriesTitle":"Techniques in Ecology & Conservation","title":"Auditory monitoring of anuran populations: Chapter 16","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Amphibian ecology and conservation: A handbook of techniques","largerWorkSubtype":{"id":13,"text":"Handbook"},"language":"English","publisher":"Oxford University Press","usgsCitation":"Dorcas, M.E., Price, S.J., Walls, S.C., and Barichivich, W.J., 2008, Auditory monitoring of anuran populations: Chapter 16, chap. <i>of</i> Amphibian ecology and conservation: A handbook of techniques.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":312132,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312131,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://global.oup.com/academic/product/amphibian-ecology-and-conservation-9780199541188?lang=en&cc=us#"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566ab041e4b09cfe53ca44ee","contributors":{"authors":[{"text":"Dorcas, Michael E","contributorId":120648,"corporation":false,"usgs":true,"family":"Dorcas","given":"Michael","email":"","middleInitial":"E","affiliations":[],"preferred":false,"id":581784,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Price, Steven J. 0000-0002-2388-0579","orcid":"https://orcid.org/0000-0002-2388-0579","contributorId":57738,"corporation":false,"usgs":false,"family":"Price","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":581785,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walls, Susan C. 0000-0001-7391-9155 swalls@usgs.gov","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":2310,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","email":"swalls@usgs.gov","middleInitial":"C.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":581786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barichivich, William J. 0000-0003-1103-6861 wbarichivich@usgs.gov","orcid":"https://orcid.org/0000-0003-1103-6861","contributorId":3697,"corporation":false,"usgs":true,"family":"Barichivich","given":"William","email":"wbarichivich@usgs.gov","middleInitial":"J.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"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":581787,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193164,"text":"70193164 - 2008 - Pit tag retention in small (205-370 mm) American eels, Anguilla rostrata","interactions":[],"lastModifiedDate":"2017-12-14T16:34:57","indexId":"70193164","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5132,"text":"Proceedings of the West Virginia Academy of Science","active":true,"publicationSubtype":{"id":10}},"title":"Pit tag retention in small (205-370 mm) American eels, Anguilla rostrata","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"West Virginia Academy of Science","usgsCitation":"Zimmerman, J.L., and Welsh, S., 2008, Pit tag retention in small (205-370 mm) American eels, Anguilla rostrata: Proceedings of the West Virginia Academy of Science, v. 79, no. 2, p. 1-8.","productDescription":"8 p.","startPage":"1","endPage":"8","ipdsId":"IP-007462","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610f8ee4b06e28e9c257e7","contributors":{"authors":[{"text":"Zimmerman, Jennifer L.","contributorId":171351,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":26870,"text":"West Virginia University, Mortgantown, WV","active":true,"usgs":false}],"preferred":false,"id":722312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":718112,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193201,"text":"70193201 - 2008 - The desperate dozen: Fishes on the brink","interactions":[],"lastModifiedDate":"2017-11-15T15:17:13","indexId":"70193201","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"The desperate dozen: Fishes on the brink","docAbstract":"<p>IT IS NO SECRET THAT OUR NATIVE AQUATIC ANIMALS ARE IN DECLINE. There are currently 582 species of animals on the Federal list of endangered and threatened species, 268 of these (46%) are found in freshwater habitats. Of the amazing assemblage of 675 fishes found in southeastern waters, more than a quarter are considered imperiled. While all of the Earth’s ecosystems are in trouble, freshwater habitats are recognized to be at severe risk because of their scarcity and the high demands placed on them by humans. The combined effects of agriculture, damming, dredging, construction, logging, overharvest, and pollution are destroying this critical resource for animals, plants, and even ourselves. This major conservation crisis calls for immediate action to conserve and protect the remaining populations and their habitats. The Southeastern Fishes Council (SFC), a nonprofit scientific organization dedicated to the study and conservation of freshwater and coastal fishes of the southeastern United States, is one of the many organizations attempting to reverse the decline of our southeast aquatic habitats and their rich biodiversity. </p><p>One of the most important steps in conservation is prioritization. The SFC sought to determine where conservation actions would have the largest impact on preventing loss of our freshwater diversity. We decided to focus our efforts on the Desperate Dozen, the 12 fish species we identified as most likely to become extinct in the Southeast. We chose this list in order to reverse their precipitous decline and assist in putting them on the path to recovery. These twelve species are not currently economically important to humans, and their extinction could easily go unnoticed by all but conservation biologists and ichthyologists. Even so, their conservation matters. These species are the canaries in the coal mine, alerting us to the problem that something is very, very wrong in our backyards. Fishes that were once widespread in larger rivers, such as the diamond darter, are now suffering from the same water quality issues that cause harm to humans. Fishes that were once used for commercial gain, such as the Alabama sturgeon, are now too rare for harvest. We have ignored our freshwater to the point where we no longer remember that rivers used to be more common than reservoirs in the Southeast, and our diversity was a resource worth protecting. </p><p>It is SFC’s goal to use this list to raise awareness of the plight of our freshwater habitats in the Southeast, which include rivers, creeks, wetlands, springs, and caves. The current crisis requires education, communication, and coordination among our neighbors. We have to learn how to prevent harm to our watersheds and develop new collaborations between private and public entities to promote wise development. By highlighting these twelve species, ranging from the spring pygmy sunfish to the Alabama sturgeon, we hope to encourage these partnerships to address the needs of our freshwater animals and hopefully prevent them from slipping quietly into extinction. </p><p>SFC created a list of the most imperiled southeastern fishes by considering species with the highest risk of extinction. Criteria used, in order of importance, was distribution (a single population ranked highest), low abundance, and severity of threats. After the ranking based on level of imperilment, species were arranged in phylogenetic order so that all would receive equal attention. Experts on each species provided brief accounts on the Desperate Dozen, which include background, distribution, abundance, threats, and proposed conservation actions. The U.S. Fish and Wildlife Service (USFWS) was not consulted in SFC’s identification of the Desperate Dozen fishes, as we intentionally chose to work as an independent scientific panel under the criteria stated above.</p>","language":"English","publisher":"Southeastern Fishes Council","usgsCitation":"Welsh, S., 2008, The desperate dozen: Fishes on the brink, 21 p.","productDescription":"21 p.","ipdsId":"IP-010766","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348926,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":348925,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sefishescouncil.org/SFCDesDoz.php"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610f8ee4b06e28e9c257e3","contributors":{"authors":[{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":718160,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70186983,"text":"70186983 - 2008 - A low intensity sampling method for assessing blue crab abundance at Aransas National Wildlife Refuge and preliminary results on the relationship of blue crab abundance to whooping crane winter mortality","interactions":[],"lastModifiedDate":"2017-04-18T12:56:58","indexId":"70186983","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A low intensity sampling method for assessing blue crab abundance at Aransas National Wildlife Refuge and preliminary results on the relationship of blue crab abundance to whooping crane winter mortality","docAbstract":"<p>We sampled blue crabs (<i>Callinectes sapidus</i>) in marshes on the Aransas National Wildlife Refuge, Texas from 1997 to 2005 to determine whether whooping crane (<i>Grus americana</i>) mortality was related to the availability of this food source. For four years, 1997 - 2001, we sampled monthly from the fall through the spring. From these data, we developed a reduced sampling effort method that adequately characterized crab abundance and reduced the potential for disturbance to the cranes. Four additional years of data were collected with the reduced sampling effort methods. Yearly variation in crab numbers was high, ranging from a low of 0.1 crabs to a high of 3.4 crabs per 100-m transect section. Mortality among adult cranes was inversely related to crab abundance. We found no relationship between crab abundance and mortality among juvenile cranes, possibly as a result of a smaller population size of juveniles compared to adults.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the tenth North American crane workshop","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Tenth North American Crane Workshop","conferenceDate":"February 7-10, 2006","conferenceLocation":"Zacatecas City, Mexico","language":"English","publisher":"North American Crane Working Group","isbn":"978-0-9659324-1-7","usgsCitation":"Pugesek, B.H., Baldwin, M., and Stehn, T., 2008, A low intensity sampling method for assessing blue crab abundance at Aransas National Wildlife Refuge and preliminary results on the relationship of blue crab abundance to whooping crane winter mortality, <i>in</i> Proceedings of the tenth North American crane workshop, Zacatecas City, Mexico, February 7-10, 2006, p. 13-24.","productDescription":"12 p.","startPage":"13","endPage":"24","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":339861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339859,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nacwg.org/proceedings10.html"}],"country":"United States","state":"Texas","otherGeospatial":"Aransas National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.79401397705078,\n              28.31103053533109\n            ],\n            [\n              -96.82645797729492,\n              28.310879406939335\n      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H.","contributorId":22668,"corporation":false,"usgs":true,"family":"Pugesek","given":"Bruce","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":691670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldwin, Michael J. 0000-0003-1939-5439 baldwinm@usgs.gov","orcid":"https://orcid.org/0000-0003-1939-5439","contributorId":3294,"corporation":false,"usgs":true,"family":"Baldwin","given":"Michael J.","email":"baldwinm@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":691671,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stehn, Thomas","contributorId":31295,"corporation":false,"usgs":true,"family":"Stehn","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":691672,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70033763,"text":"70033763 - 2008 - Response in the water quality of the Salton Sea, California, to changes in phosphorus loading: An empirical modeling approach","interactions":[],"lastModifiedDate":"2018-02-06T12:19:06","indexId":"70033763","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Response in the water quality of the Salton Sea, California, to changes in phosphorus loading: An empirical modeling approach","docAbstract":"Salton Sea, California, like many other lakes, has become eutrophic because of excessive nutrient loading, primarily phosphorus (P). A Total Maximum Daily Load (TMDL) is being prepared for P to reduce the input of P to the Sea. In order to better understand how P-load reductions should affect the average annual water quality of this terminal saline lake, three different eutrophication programs (BATHTUB, WiLMS, and the Seepage Lake Model) were applied. After verifying that specific empirical models within these programs were applicable to this saline lake, each model was calibrated using water-quality and nutrient-loading data for 1999 and then used to simulate the effects of specific P-load reductions. Model simulations indicate that a 50% decrease in external P loading would decrease near-surface total phosphorus concentrations (TP) by 25-50%. Application of other empirical models demonstrated that this decrease in loading should decrease near-surface chlorophyll a concentrations (Chl a) by 17-63% and increase Secchi depths (SD) by 38-97%. The wide range in estimated responses in Chl a and SD were primarily caused by uncertainty in how non-algal turbidity would respond to P-load reductions. If only the models most applicable to the Salton Sea are considered, a 70-90% P-load reduction is required for the Sea to be classified as moderately eutrophic (trophic state index of 55). These models simulate steady-state conditions in the Sea; therefore, it is difficult to ascertain how long it would take for the simulated changes to occur after load reductions. ?? 2008 Springer Science+Business Media B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrobiologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10750-008-9321-4","issn":"00188158","usgsCitation":"Robertson, D.M., and Schladow, S., 2008, Response in the water quality of the Salton Sea, California, to changes in phosphorus loading: An empirical modeling approach: Hydrobiologia, v. 604, no. 1, p. 5-19, https://doi.org/10.1007/s10750-008-9321-4.","startPage":"5","endPage":"19","numberOfPages":"15","costCenters":[],"links":[{"id":241870,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214176,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10750-008-9321-4"}],"volume":"604","issue":"1","noUsgsAuthors":false,"publicationDate":"2008-03-18","publicationStatus":"PW","scienceBaseUri":"505aaa12e4b0c8380cd8611d","contributors":{"authors":[{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":442344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schladow, S.G.","contributorId":92791,"corporation":false,"usgs":true,"family":"Schladow","given":"S.G.","email":"","affiliations":[],"preferred":false,"id":442345,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70033534,"text":"70033534 - 2008 - Estimation of the bottleneck size in Florida panthers","interactions":[],"lastModifiedDate":"2012-03-12T17:21:34","indexId":"70033534","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Estimation of the bottleneck size in Florida panthers","docAbstract":"We have estimated the extent of genetic variation in museum (1890s) and contemporary (1980s) samples of Florida panthers Puma concolor coryi for both nuclear loci and mtDNA. The microsatellite heterozygosity in the contemporary sample was only 0.325 that in the museum samples although our sample size and number of loci are limited. Support for this estimate is provided by a sample of 84 microsatellite loci in contemporary Florida panthers and Idaho pumas Puma concolor hippolestes in which the contemporary Florida panther sample had only 0.442 the heterozygosity of Idaho pumas. The estimated diversities in mtDNA in the museum and contemporary samples were 0.600 and 0.000, respectively. Using a population genetics approach, we have estimated that to reduce either the microsatellite heterozygosity or the mtDNA diversity this much (in a period of c. 80years during the 20th century when the numbers were thought to be low) that a very small bottleneck size of c. 2 for several generations and a small effective population size in other generations is necessary. Using demographic data from Yellowstone pumas, we estimated the ratio of effective to census population size to be 0.315. Using this ratio, the census population size in the Florida panthers necessary to explain the loss of microsatellite variation was c .41 for the non-bottleneck generations and 6.2 for the two bottleneck generations. These low bottleneck population sizes and the concomitant reduced effectiveness of selection are probably responsible for the high frequency of several detrimental traits in Florida panthers, namely undescended testicles and poor sperm quality. The recent intensive monitoring both before and after the introduction of Texas pumas in 1995 will make the recovery and genetic restoration of Florida panthers a classic study of an endangered species. Our estimates of the bottleneck size responsible for the loss of genetic variation in the Florida panther completes an unknown aspect of this account. ?? 2008 The Authors. Journal compilation ?? 2008 The Zoological Society of London.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Animal Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1469-1795.2007.00154.x","issn":"13679430","usgsCitation":"Culver, M., Hedrick, P., Murphy, K., O'Brien, S., and Hornocker, M., 2008, Estimation of the bottleneck size in Florida panthers: Animal Conservation, v. 11, no. 2, p. 104-110, https://doi.org/10.1111/j.1469-1795.2007.00154.x.","startPage":"104","endPage":"110","numberOfPages":"7","costCenters":[],"links":[{"id":214250,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1469-1795.2007.00154.x"},{"id":241950,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"2","noUsgsAuthors":false,"publicationDate":"2008-02-15","publicationStatus":"PW","scienceBaseUri":"505a0bb5e4b0c8380cd5283a","contributors":{"authors":[{"text":"Culver, M.","contributorId":92462,"corporation":false,"usgs":true,"family":"Culver","given":"M.","email":"","affiliations":[],"preferred":false,"id":441343,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hedrick, P.W.","contributorId":6014,"corporation":false,"usgs":true,"family":"Hedrick","given":"P.W.","email":"","affiliations":[],"preferred":false,"id":441339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, K.","contributorId":89865,"corporation":false,"usgs":false,"family":"Murphy","given":"K.","email":"","affiliations":[],"preferred":false,"id":441342,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O'Brien, S.","contributorId":82934,"corporation":false,"usgs":true,"family":"O'Brien","given":"S.","affiliations":[],"preferred":false,"id":441341,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hornocker, M.G.","contributorId":14651,"corporation":false,"usgs":true,"family":"Hornocker","given":"M.G.","affiliations":[],"preferred":false,"id":441340,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70033611,"text":"70033611 - 2008 - Pathogen and chemical transport in the karst limestone of the Biscayne aquifer: 3. Use of microspheres to estimate the transport potential of Cryptosporidium parvum oocysts","interactions":[],"lastModifiedDate":"2018-10-22T09:08:08","indexId":"70033611","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","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}},"displayTitle":"Pathogen and chemical transport in the karst limestone of the Biscayne aquifer: 3. Use of microspheres to estimate the transport potential of <i>Cryptosporidium parvum</i> oocysts","title":"Pathogen and chemical transport in the karst limestone of the Biscayne aquifer: 3. Use of microspheres to estimate the transport potential of Cryptosporidium parvum oocysts","docAbstract":"<p><span>The vulnerability of a municipal well in the Northwest well field in southeastern Florida to potential contamination by&nbsp;</span><i>Cryptosporidium parvum</i><span><span>&nbsp;</span>oocysts was assessed in a large‐scale, forced‐gradient (convergent) injection and recovery test. The field study involved a simultaneous pulse introduction of a nonreactive tracer (SF</span><sub>6</sub><span>, an inert gas) and oocyst‐sized (1.6, 2.9, and 4.9<span>&nbsp;</span></span><i>μ</i><span>m diameter) carboxylated polystyrene microspheres into karst limestone of the Biscayne aquifer characterized by a complex triple (matrix, touching‐vug, and conduit) porosity. Fractional recoveries 97 m down gradient were inversely related to diameter and ranged from 2.9% for the 4.9<span>&nbsp;</span></span><i>μ</i><span>m microspheres to 5.8% for 1.6<span>&nbsp;</span></span><i>μ</i><span>m microspheres. Their centers of mass arrived at the pumping well approximately threefold earlier than that of the nonreactive tracer SF</span><sub>6</sub><span><span>&nbsp;</span>(gas), underscoring the need for use of colloid tracers and field‐scale tracer tests for these kinds of evaluations. In a modified triaxial cell using near in situ chemical conditions, 2.9 and 4.9<span>&nbsp;</span></span><i>μ</i><span>m microspheres underestimated by fourfold to sixfold the attachment potential of the less electronegative 2.9–4.1<span>&nbsp;</span></span><i>μ</i><span>m oocysts in the matrix porosity of limestone core samples. The field and laboratory results collectively suggested that it may take 200–300 m of transport to ensure even a 1‐log unit removal of oocysts, even though the limestone surfaces exhibited a substantive capability for their sorptive removal. The study further demonstrated the utility of microspheres as oocyst surrogates in field‐scale assessments of well vulnerability in limestone, provided that differences in attachment behaviors between oocysts and microspheres are taken into account.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2007WR006060","usgsCitation":"Harvey, R.W., Metge, D.W., Shapiro, A.M., Renken, R.A., Osborn, C.L., Ryan, J.N., Cunningham, K.J., and Landkamer, L.L., 2008, Pathogen and chemical transport in the karst limestone of the Biscayne aquifer: 3. Use of microspheres to estimate the transport potential of Cryptosporidium parvum oocysts: Water Resources Research, v. 44, no. 8, W08431; 12 p., https://doi.org/10.1029/2007WR006060.","productDescription":"W08431; 12 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":476722,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2007wr006060","text":"Publisher Index Page"},{"id":242057,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"8","noUsgsAuthors":false,"publicationDate":"2008-08-23","publicationStatus":"PW","scienceBaseUri":"505a7596e4b0c8380cd77c20","contributors":{"authors":[{"text":"Harvey, Ronald W. 0000-0002-2791-8503 rwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2791-8503","contributorId":564,"corporation":false,"usgs":true,"family":"Harvey","given":"Ronald","email":"rwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":441663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Metge, David W. dwmetge@usgs.gov","contributorId":663,"corporation":false,"usgs":true,"family":"Metge","given":"David","email":"dwmetge@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":441665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shapiro, Allen M. 0000-0002-6425-9607 ashapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-6425-9607","contributorId":2164,"corporation":false,"usgs":true,"family":"Shapiro","given":"Allen","email":"ashapiro@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":441667,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Renken, Robert A. rarenken@usgs.gov","contributorId":269,"corporation":false,"usgs":true,"family":"Renken","given":"Robert","email":"rarenken@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":441668,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Osborn, Christina L.","contributorId":118702,"corporation":false,"usgs":false,"family":"Osborn","given":"Christina","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":441662,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ryan, Joseph N.","contributorId":54290,"corporation":false,"usgs":false,"family":"Ryan","given":"Joseph","email":"","middleInitial":"N.","affiliations":[{"id":604,"text":"University of Colorado- Boulder","active":false,"usgs":true}],"preferred":false,"id":441669,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cunningham, Kevin J. 0000-0002-2179-8686 kcunning@usgs.gov","orcid":"https://orcid.org/0000-0002-2179-8686","contributorId":1689,"corporation":false,"usgs":true,"family":"Cunningham","given":"Kevin","email":"kcunning@usgs.gov","middleInitial":"J.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":441664,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Landkamer, Lee L.","contributorId":65679,"corporation":false,"usgs":true,"family":"Landkamer","given":"Lee","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":441666,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70033532,"text":"70033532 - 2008 - Titan's diverse landscapes as evidenced by Cassini RADAR's third and fourth looks at Titan","interactions":[],"lastModifiedDate":"2018-12-05T17:12:32","indexId":"70033532","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Titan's diverse landscapes as evidenced by Cassini RADAR's third and fourth looks at Titan","docAbstract":"<p>Cassini's third and fourth radar flybys, T7 and T8, covered diverse terrains in the high southern and equatorial latitudes, respectively. The T7 synthetic aperture radar (SAR) swath is somewhat more straightforward to understand in terms of a progressive poleward descent from a high, dissected, and partly hilly terrain down to a low flat plain with embayments and deposits suggestive of the past or even current presence of hydrocarbon liquids. The T8 swath is dominated by dunes likely made of organic solids, but also contain somewhat enigmatic, probably tectonic, features that may be partly buried or degraded by erosion or relaxation in a thin crust. The dark areas in T7 show no dune morphology, unlike the dark areas in T8, but are radiometrically warm like the dunes. The Huygens landing site lies on the edge of the T8 swath; correlation of the radar and Huygens DISR images allows accurate determination of its coordinates, and indicates that to the north of the landing site sit two large longitudinal dunes. Indeed, had the Huygens probe trajectory been just 10 km north of where it actually was, images of large sand dunes would have been returned in place of the fluvially dissected terrain actually seen-illustrating the strong diversity of Titan's landscapes even at local scales.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Icarus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2007.12.022","issn":"00191035","usgsCitation":"Lunine, J., Elachi, C., Wall, S.D., Janssen, M., Allison, M., Anderson, Y., Boehmer, R., Callahan, P., Encrenaz, P., Flamini, E., Franceschetti, G., Gim, Y., Hamilton, G., Hensley, S., Johnson, W., Kelleher, K., Kirk, R.L., Lopes, R., Lorenz, R., Muhleman, D., Orosei, R., Ostro, S., Paganelli, F., Paillou, P., Picardi, G., Posa, F., Radebaugh, J., Roth, L., Seu, R., Shaffer, S., Soderblom, L.A., Stiles, B., Stofan, E.R., Vetrella, S., West, R., Wood, C.A., Wye, L., Zebker, H., Alberti, G., Karkoschka, E., Rizk, B., McFarlane, E., See, C., and Kazeminejad, B., 2008, Titan's diverse landscapes as evidenced by Cassini RADAR's third and fourth looks at Titan: Icarus, v. 195, no. 1, p. 415-433, https://doi.org/10.1016/j.icarus.2007.12.022.","productDescription":"19 p.","startPage":"415","endPage":"433","numberOfPages":"19","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":476738,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-00319753","text":"External Repository"},{"id":241921,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Titan","volume":"195","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb41ae4b08c986b32619e","contributors":{"authors":[{"text":"Lunine, J. I.","contributorId":51899,"corporation":false,"usgs":false,"family":"Lunine","given":"J. I.","affiliations":[],"preferred":false,"id":441317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elachi, C.","contributorId":104606,"corporation":false,"usgs":false,"family":"Elachi","given":"C.","affiliations":[],"preferred":false,"id":441335,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wall, S. D.","contributorId":86468,"corporation":false,"usgs":false,"family":"Wall","given":"S.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":441327,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Janssen, M.A.","contributorId":28345,"corporation":false,"usgs":true,"family":"Janssen","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":441303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allison, M.D.","contributorId":76056,"corporation":false,"usgs":true,"family":"Allison","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":441324,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Y.","contributorId":60369,"corporation":false,"usgs":true,"family":"Anderson","given":"Y.","email":"","affiliations":[],"preferred":false,"id":441321,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boehmer, R.","contributorId":47957,"corporation":false,"usgs":true,"family":"Boehmer","given":"R.","email":"","affiliations":[],"preferred":false,"id":441314,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Callahan, P.","contributorId":22889,"corporation":false,"usgs":true,"family":"Callahan","given":"P.","email":"","affiliations":[],"preferred":false,"id":441298,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Encrenaz, P.","contributorId":99358,"corporation":false,"usgs":true,"family":"Encrenaz","given":"P.","email":"","affiliations":[],"preferred":false,"id":441332,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Flamini, E.","contributorId":68087,"corporation":false,"usgs":true,"family":"Flamini","given":"E.","email":"","affiliations":[],"preferred":false,"id":441322,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Franceschetti, 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W.T.K.","contributorId":27174,"corporation":false,"usgs":true,"family":"Johnson","given":"W.T.K.","email":"","affiliations":[],"preferred":false,"id":441302,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Kelleher, K.","contributorId":102677,"corporation":false,"usgs":true,"family":"Kelleher","given":"K.","email":"","affiliations":[],"preferred":false,"id":441333,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":441330,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Lopes, 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R.","contributorId":103403,"corporation":false,"usgs":false,"family":"Stofan","given":"E.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":441334,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Vetrella, S.","contributorId":48374,"corporation":false,"usgs":true,"family":"Vetrella","given":"S.","email":"","affiliations":[],"preferred":false,"id":441315,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"West, R.","contributorId":26996,"corporation":false,"usgs":true,"family":"West","given":"R.","email":"","affiliations":[],"preferred":false,"id":441301,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Wood, C. A.","contributorId":35057,"corporation":false,"usgs":false,"family":"Wood","given":"C.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":441306,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Wye, L.","contributorId":40333,"corporation":false,"usgs":true,"family":"Wye","given":"L.","affiliations":[],"preferred":false,"id":441308,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Zebker, H.","contributorId":25276,"corporation":false,"usgs":false,"family":"Zebker","given":"H.","affiliations":[],"preferred":false,"id":441300,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Alberti, G.","contributorId":41229,"corporation":false,"usgs":true,"family":"Alberti","given":"G.","email":"","affiliations":[],"preferred":false,"id":441309,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Karkoschka, E.","contributorId":35123,"corporation":false,"usgs":true,"family":"Karkoschka","given":"E.","affiliations":[],"preferred":false,"id":441307,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Rizk, B.","contributorId":77741,"corporation":false,"usgs":true,"family":"Rizk","given":"B.","affiliations":[],"preferred":false,"id":441325,"contributorType":{"id":1,"text":"Authors"},"rank":41},{"text":"McFarlane, E.","contributorId":92066,"corporation":false,"usgs":true,"family":"McFarlane","given":"E.","email":"","affiliations":[],"preferred":false,"id":441329,"contributorType":{"id":1,"text":"Authors"},"rank":42},{"text":"See, C.","contributorId":74203,"corporation":false,"usgs":true,"family":"See","given":"C.","email":"","affiliations":[],"preferred":false,"id":441323,"contributorType":{"id":1,"text":"Authors"},"rank":43},{"text":"Kazeminejad, B.","contributorId":81703,"corporation":false,"usgs":true,"family":"Kazeminejad","given":"B.","email":"","affiliations":[],"preferred":false,"id":441326,"contributorType":{"id":1,"text":"Authors"},"rank":44}]}}
,{"id":70033605,"text":"70033605 - 2008 - Refraction tomography mapping of near-surface dipping layers using landstreamer data at East Canyon Dam, Utah","interactions":[],"lastModifiedDate":"2012-03-12T17:21:29","indexId":"70033605","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Refraction tomography mapping of near-surface dipping layers using landstreamer data at East Canyon Dam, Utah","docAbstract":"We apply the P-wave refraction-tomography method to seismic data collected with a landstreamer. Refraction-tomography inversion solutions were determined using regularization parameters that provided the most realistic near-surface solutions that best matched the dipping layer structure of nearby outcrops. A reasonably well matched solution was obtained using an unusual set of optimal regularization parameters. In comparison, the use of conventional regularization parameters did not provide as realistic results. Thus, we consider that even if there is only qualitative a-priori information about a site (i.e., visual) - in the case of the East Canyon Dam, Utah - it might be possible to minimize the refraction nonuniqueness by estimating the most appropriate regularization parameters.","largerWorkTitle":"SEG Technical Program Expanded Abstracts","language":"English","doi":"10.1190/1.3064016","issn":"10523","usgsCitation":"Ivanov, J., Miller, R., Markiewicz, R., and Xia, J., 2008, Refraction tomography mapping of near-surface dipping layers using landstreamer data at East Canyon Dam, Utah, <i>in</i> SEG Technical Program Expanded Abstracts, v. 27, no. 1, p. 3229-3233, https://doi.org/10.1190/1.3064016.","startPage":"3229","endPage":"3233","numberOfPages":"5","costCenters":[],"links":[{"id":214281,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1190/1.3064016"},{"id":241986,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"1","noUsgsAuthors":false,"publicationDate":"2008-12-15","publicationStatus":"PW","scienceBaseUri":"50e4a44de4b0e8fec6cdbb1a","contributors":{"authors":[{"text":"Ivanov, J.","contributorId":107068,"corporation":false,"usgs":true,"family":"Ivanov","given":"J.","email":"","affiliations":[],"preferred":false,"id":441642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, R. D.","contributorId":92693,"corporation":false,"usgs":true,"family":"Miller","given":"R. D.","affiliations":[],"preferred":false,"id":441641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Markiewicz, R.D.","contributorId":40431,"corporation":false,"usgs":true,"family":"Markiewicz","given":"R.D.","email":"","affiliations":[],"preferred":false,"id":441639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xia, J.","contributorId":63513,"corporation":false,"usgs":true,"family":"Xia","given":"J.","email":"","affiliations":[],"preferred":false,"id":441640,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70033541,"text":"70033541 - 2008 - Depth distribution dynamics of the sculpin community in Lake Michigan","interactions":[],"lastModifiedDate":"2012-03-12T17:21:33","indexId":"70033541","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Depth distribution dynamics of the sculpin community in Lake Michigan","docAbstract":"Using data from our annual lakewide bottom trawl survey of Lake Michigan, we calculated the mean depths of capture for deepwater sculpin Myoxocephalus thompsonii and slimy sculpin Cottus cognatus for each combination of transect (Frankfort, Ludington, Saugatuck, and Manistique in Michigan, Waukegan in Illinois, and Port Washington and Sturgeon Bay in Wisconsin) and year (1973-2005). The mean depth of capture of both sculpin species significantly decreased during the recovery phase of the deepwater sculpin population at four of the transects but did not significantly change for either species at the other three transects during this time. During the postrecovery phase of the deepwater sculpin population, the mean depth of capture of deepwater sculpins significantly increased at six of the seven transects, whereas that for slimy sculpins significantly increased at only four of the seven transects. The mean depth of capture of deepwater sculpins was most strongly correlated with that of slimy sculpins at Frankfort (r = 0.73); the correlation was weakest at Manistique (r = 0.00). Long-term mean depths of capture (averaged over all years) for deepwater sculpins ranged from 90 to 108 m among the seven transects, whereas the long-term mean depths of capture for slimy sculpins ranged from 60 to 83 m. The long-term mean depth difference between the two species was least at Frankfort (21 m) and greatest at Manistique (38 m); at all seven transects, the mean depth difference was significantly greater than zero. We concluded that these two sculpin populations in Lake Michigan maintained some degree of spatial separation during 1973-2005.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1577/T07-001.1","issn":"00028","usgsCitation":"Madenjian, C., and Bunnell, D., 2008, Depth distribution dynamics of the sculpin community in Lake Michigan: Transactions of the American Fisheries Society, v. 137, no. 5, p. 1346-1357, https://doi.org/10.1577/T07-001.1.","startPage":"1346","endPage":"1357","numberOfPages":"12","costCenters":[],"links":[{"id":214336,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1577/T07-001.1"},{"id":242053,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"137","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-01-09","publicationStatus":"PW","scienceBaseUri":"5059fecee4b0c8380cd4ef3b","contributors":{"authors":[{"text":"Madenjian, C.P.","contributorId":64175,"corporation":false,"usgs":true,"family":"Madenjian","given":"C.P.","affiliations":[],"preferred":false,"id":441372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunnell, D.B.","contributorId":8610,"corporation":false,"usgs":true,"family":"Bunnell","given":"D.B.","affiliations":[],"preferred":false,"id":441371,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70033773,"text":"70033773 - 2008 - A trade-off between model resolution and variance with selected Rayleigh-wave data","interactions":[],"lastModifiedDate":"2012-03-12T17:21:31","indexId":"70033773","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A trade-off between model resolution and variance with selected Rayleigh-wave data","docAbstract":"Inversion of multimode surface-wave data is of increasing interest in the near-surface geophysics community. For a given near-surface geophysical problem, it is essential to understand how well the data, calculated according to a layered-earth model, might match the observed data. A data-resolution matrix is a function of the data kernel (determined by a geophysical model and a priori information applied to the problem), not the data. A data-resolution matrix of high-frequency (??? 2 Hz) Rayleigh-wave phase velocities, therefore, offers a quantitative tool for designing field surveys and predicting the match between calculated and observed data. First, we employed a data-resolution matrix to select data that would be well predicted and to explain advantages of incorporating higher modes in inversion. The resulting discussion using the data-resolution matrix provides insight into the process of inverting Rayleigh-wave phase velocities with higher mode data to estimate S-wave velocity structure. Discussion also suggested that each near-surface geophysical target can only be resolved using Rayleigh-wave phase velocities within specific frequency ranges, and higher mode data are normally more accurately predicted than fundamental mode data because of restrictions on the data kernel for the inversion system. Second, we obtained an optimal damping vector in a vicinity of an inverted model by the singular value decomposition of a trade-off function of model resolution and variance. In the end of the paper, we used a real-world example to demonstrate that selected data with the data-resolution matrix can provide better inversion results and to explain with the data-resolution matrix why incorporating higher mode data in inversion can provide better results. We also calculated model-resolution matrices of these examples to show the potential of increasing model resolution with selected surface-wave data. With the optimal damping vector, we can improve and assess an inverted model obtained by a damped least-square method.","largerWorkTitle":"SEG Technical Program Expanded Abstracts","language":"English","doi":"10.1190/1.3059153","issn":"10523","usgsCitation":"Xia, J., Miller, R., and Xu, Y., 2008, A trade-off between model resolution and variance with selected Rayleigh-wave data, <i>in</i> SEG Technical Program Expanded Abstracts, v. 27, no. 1, p. 1293-1297, https://doi.org/10.1190/1.3059153.","startPage":"1293","endPage":"1297","numberOfPages":"5","costCenters":[],"links":[{"id":214317,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1190/1.3059153"},{"id":242034,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"1","noUsgsAuthors":false,"publicationDate":"2008-12-15","publicationStatus":"PW","scienceBaseUri":"5059e602e4b0c8380cd470ca","contributors":{"authors":[{"text":"Xia, J.","contributorId":63513,"corporation":false,"usgs":true,"family":"Xia","given":"J.","email":"","affiliations":[],"preferred":false,"id":442385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, R. D.","contributorId":92693,"corporation":false,"usgs":true,"family":"Miller","given":"R. D.","affiliations":[],"preferred":false,"id":442386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xu, Y.","contributorId":47816,"corporation":false,"usgs":true,"family":"Xu","given":"Y.","email":"","affiliations":[],"preferred":false,"id":442384,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70033613,"text":"70033613 - 2008 - A gel probe equilibrium sampler for measuring arsenic porewater profiles and sorption gradients in sediments: II. Field application to Haiwee reservoir sediment","interactions":[],"lastModifiedDate":"2012-03-12T17:21:33","indexId":"70033613","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","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":"A gel probe equilibrium sampler for measuring arsenic porewater profiles and sorption gradients in sediments: II. Field application to Haiwee reservoir sediment","docAbstract":"Arsenic (As) geochemistry and sorption behavior were measured in As- and iron (Fe)-rich sediments of Haiwee Reservoir by deploying undoped (clear) polyacrylamide gels and hydrous ferric oxide (HFO)-doped gels in a gel probe equilibrium sampler, which is a novel technique for directly measuring the effects of porewater composition on As adsorption to Fe oxides phases in situ. Arsenic is deposited at the sediment surface as As(V) and is reduced to As(III) in the upper layers of the sediment (0-8 cm), but the reduction of As(V) does not cause mobilization into the porewater. Dissolved As and Fe concentrations increased at depth in the sediment column driven by the reductive dissolution of amorphous Fe(III) oxyhydroxides and conversion to a mixed Fe(II, III) green rust-type phase. Adsorption of As and phosphorous (P) onto HFO-doped gels was inhibited at intermediate depths (10-20 cm), possibly due to dissolved organic or inorganic carbon, indicating that dissolved As concentrations were at least partially controlled by porewater composition rather than surface site availability. In sediments that had been recently exposed to air, the region of sorption inhibition was not observed, suggesting that prior exposure to air affected the extent of reductive dissolution, porewater chemistry, and As adsorption behavior. Arsenic adsorption onto the HFO-doped gels increased at depths >20 cm, and the extent of adsorption was most likely controlled by the competitive effects of dissolved phosphate. Sediment As adsorption capacity appeared to be controlled by changes in porewater composition and competitive effects at shallower depths, and by reductive dissolution and availability of sorption sites at greater burial depths. ?? 2008 American Chemical Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1021/es071120a","issn":"0013936X","usgsCitation":"Campbell, K., Root, R., O’Day, P.A., and Hering, J.G., 2008, A gel probe equilibrium sampler for measuring arsenic porewater profiles and sorption gradients in sediments: II. Field application to Haiwee reservoir sediment: Environmental Science & Technology, v. 42, no. 2, p. 504-510, https://doi.org/10.1021/es071120a.","startPage":"504","endPage":"510","numberOfPages":"7","costCenters":[],"links":[{"id":476757,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://infoscience.epfl.ch/handle/20.500.14299/58654","text":"Publisher Index Page"},{"id":214398,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es071120a"},{"id":242121,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"2","noUsgsAuthors":false,"publicationDate":"2007-12-12","publicationStatus":"PW","scienceBaseUri":"5059e3eae4b0c8380cd462c9","contributors":{"authors":[{"text":"Campbell, K.M.","contributorId":42438,"corporation":false,"usgs":true,"family":"Campbell","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":441676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Root, R.","contributorId":24433,"corporation":false,"usgs":true,"family":"Root","given":"R.","email":"","affiliations":[],"preferred":false,"id":441674,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Day, P. A.","contributorId":26857,"corporation":false,"usgs":true,"family":"O’Day","given":"P.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":441675,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hering, J. G.","contributorId":12647,"corporation":false,"usgs":false,"family":"Hering","given":"J.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":441673,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70033601,"text":"70033601 - 2008 - Temporal and spatial structure in a daily wildfire-start data set from the western United States (198696)","interactions":[],"lastModifiedDate":"2012-03-12T17:21:30","indexId":"70033601","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Temporal and spatial structure in a daily wildfire-start data set from the western United States (198696)","docAbstract":"The temporal and spatial structure of 332 404 daily fire-start records from the western United States for the period 1986 through 1996 is illustrated using several complimentary visualisation techniques. We supplement maps and time series plots with Hovmo??ller diagrams that reduce the spatial dimensionality of the daily data in order to reveal the underlying space?time structure. The mapped distributions of all lightning- and human-started fires during the 11-year interval show similar first-order patterns that reflect the broad-scale distribution of vegetation across the West and the annual cycle of climate. Lightning-started fires are concentrated in the summer half-year and occur in widespread outbreaks that last a few days and reflect coherent weather-related controls. In contrast, fires started by humans occur throughout the year and tend to be concentrated in regions surrounding large-population centres or intensive-agricultural areas. Although the primary controls of human-started fires are their location relative to burnable fuel and the level of human activity, spatially coherent, weather-related variations in their incidence can also be noted. ?? IAWF 2008.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Wildland Fire","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1071/WF07022","issn":"10498001","usgsCitation":"Bartlein, P., Hostetler, S.W., Shafer, S., Holman, J., and Solomon, A., 2008, Temporal and spatial structure in a daily wildfire-start data set from the western United States (198696): International Journal of Wildland Fire, v. 17, no. 1, p. 8-17, https://doi.org/10.1071/WF07022.","startPage":"8","endPage":"17","numberOfPages":"10","costCenters":[],"links":[{"id":241925,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214226,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1071/WF07022"}],"volume":"17","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba4f3e4b08c986b3206c6","contributors":{"authors":[{"text":"Bartlein, P. J.","contributorId":54566,"corporation":false,"usgs":false,"family":"Bartlein","given":"P. J.","affiliations":[],"preferred":false,"id":441624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hostetler, S. W. 0000-0003-2272-8302","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":42911,"corporation":false,"usgs":true,"family":"Hostetler","given":"S.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":441623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shafer, S.L.","contributorId":26789,"corporation":false,"usgs":true,"family":"Shafer","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":441622,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holman, J.O.","contributorId":11708,"corporation":false,"usgs":true,"family":"Holman","given":"J.O.","email":"","affiliations":[],"preferred":false,"id":441621,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Solomon, A.M.","contributorId":71721,"corporation":false,"usgs":true,"family":"Solomon","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":441625,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70033529,"text":"70033529 - 2008 - Determination of methane concentrations in water in equilibrium with sI methane hydrate in the absence of a vapor phase by in situ Raman spectroscopy","interactions":[],"lastModifiedDate":"2012-03-12T17:21:29","indexId":"70033529","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Determination of methane concentrations in water in equilibrium with sI methane hydrate in the absence of a vapor phase by in situ Raman spectroscopy","docAbstract":"Most submarine gas hydrates are located within the two-phase equilibrium region of hydrate and interstitial water with pressures (P) ranging from 8 to 60 MPa and temperatures (T) from 275 to 293 K. However, current measurements of solubilities of methane in equilibrium with hydrate in the absence of a vapor phase are limited below 20 MPa and 283.15 K, and the differences among these data are up to 30%. When these data were extrapolated to other P-T conditions, it leads to large and poorly known uncertainties. In this study, in situ Raman spectroscopy was used to measure methane concentrations in pure water in equilibrium with sI (structure one) methane hydrate, in the absence of a vapor phase, at temperatures from 276.6 to 294.6 (??0.3) K and pressures at 10, 20, 30 and 40 (??0.4%) MPa. The relationship among concentration of methane in water in equilibrium with hydrate, in mole fraction [X(CH4)], the temperature in K, and pressure in MPa was derived as: X(CH4) = exp [11.0464 + 0.023267 P - (4886.0 + 8.0158 P)/T]. Both the standard enthalpy and entropy of hydrate dissolution at the studied T-P conditions increase slightly with increasing pressure, ranging from 41.29 to 43.29 kJ/mol and from 0.1272 to 0.1330 kJ/K ?? mol, respectively. When compared with traditional sampling and analytical methods, the advantages of our method include: (1) the use of in situ Raman signals for methane concentration measurements eliminates possible uncertainty caused by sampling and ex situ analysis, (2) it is simple and efficient, and (3) high-pressure data can be obtained safely. ?? 2007 Elsevier Ltd. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochimica et Cosmochimica Acta","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.gca.2007.11.006","issn":"00167037","usgsCitation":"Lu, W., Chou, I., and Burruss, R., 2008, Determination of methane concentrations in water in equilibrium with sI methane hydrate in the absence of a vapor phase by in situ Raman spectroscopy: Geochimica et Cosmochimica Acta, v. 72, no. 2, p. 412-422, https://doi.org/10.1016/j.gca.2007.11.006.","startPage":"412","endPage":"422","numberOfPages":"11","costCenters":[],"links":[{"id":214193,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gca.2007.11.006"},{"id":241888,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ffb6e4b0c8380cd4f34e","contributors":{"authors":[{"text":"Lu, W.","contributorId":47576,"corporation":false,"usgs":true,"family":"Lu","given":"W.","email":"","affiliations":[],"preferred":false,"id":441283,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chou, I.-M. 0000-0001-5233-6479","orcid":"https://orcid.org/0000-0001-5233-6479","contributorId":44283,"corporation":false,"usgs":true,"family":"Chou","given":"I.-M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":441282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burruss, R.C. 0000-0001-6827-804X","orcid":"https://orcid.org/0000-0001-6827-804X","contributorId":99574,"corporation":false,"usgs":true,"family":"Burruss","given":"R.C.","affiliations":[],"preferred":false,"id":441284,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70033767,"text":"70033767 - 2008 - Food web dynamics in a seasonally varying wetland","interactions":[],"lastModifiedDate":"2012-03-12T17:21:31","indexId":"70033767","displayToPublicDate":"2008-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2699,"text":"Mathematical Biosciences and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Food web dynamics in a seasonally varying wetland","docAbstract":"A spatially explicit model is developed to simulate the small fish community and its underlying food web, in the freshwater marshes of the Everglades. The community is simplified to a few small fish species feeding on periphyton and invertebrates. Other compartments are detritus, crayfish, and a piscivorous fish species. This unit food web model is applied to each of the 10,000 spatial cells on a 100 x 100 pixel landscape. Seasonal variation in water level is assumed and rules are assigned for fish movement in response to rising and falling water levels, which can cause many spatial cells to alternate between flooded and dry conditions. It is shown that temporal variations of water level on a spatially heterogeneous landscape can maintain at least three competing fish species. In addition, these environmental factors can strongly affect the temporal variation of the food web caused by top-down control from the piscivorous fish.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mathematical Biosciences and Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.3934/mbe.2008.5.877","issn":"15471","usgsCitation":"DeAngelis, D., Trexler, J., and Donalson, D., 2008, Food web dynamics in a seasonally varying wetland: Mathematical Biosciences and Engineering, v. 5, no. 4, p. 877-887, https://doi.org/10.3934/mbe.2008.5.877.","startPage":"877","endPage":"887","numberOfPages":"11","costCenters":[],"links":[{"id":476646,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3934/mbe.2008.5.877","text":"Publisher Index Page"},{"id":214234,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3934/mbe.2008.5.877"},{"id":241934,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a12e6e4b0c8380cd54435","contributors":{"authors":[{"text":"DeAngelis, D.L. 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":32470,"corporation":false,"usgs":true,"family":"DeAngelis","given":"D.L.","affiliations":[],"preferred":false,"id":442359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trexler, J.C.","contributorId":23108,"corporation":false,"usgs":true,"family":"Trexler","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":442358,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donalson, D.D.","contributorId":69793,"corporation":false,"usgs":true,"family":"Donalson","given":"D.D.","affiliations":[],"preferred":false,"id":442360,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}