{"pageNumber":"750","pageRowStart":"18725","pageSize":"25","recordCount":68924,"records":[{"id":70034674,"text":"70034674 - 2011 - Organic sedimentary deposits in Titan's dry lakebeds: Probable evaporite","interactions":[],"lastModifiedDate":"2021-04-14T11:45:50.24159","indexId":"70034674","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Organic sedimentary deposits in Titan's dry lakebeds: Probable evaporite","docAbstract":"We report the discovery of organic sedimentary deposits at the bottom of dry lakebeds near Titan’s north pole in observations from the Cassini Visual and Infrared Mapping Spectrometer (VIMS). We show evidence that the deposits are evaporitic, making Titan just the third known planetary body with evaporitic processes after Earth and Mars, and is the first that uses a solvent other than water.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2011.08.022","issn":"00191035","usgsCitation":"Barnes, J.W., Bow, J., Schwartz, J., Brown, R.H., Soderblom, J., Hayes, A., Vixie, G., Le Mouelic, S., Rodriguez, S., Sotin, C., Jaumann, R., Stephan, K., Soderblom, L., Clark, R.N., Buratti, B.J., Baines, K.H., and Nicholson, P.D., 2011, Organic sedimentary deposits in Titan's dry lakebeds: Probable evaporite: Icarus, v. 216, no. 1, p. 136-140, https://doi.org/10.1016/j.icarus.2011.08.022.","productDescription":"5 p.","startPage":"136","endPage":"140","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":243665,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"216","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6fdae4b0c8380cd75ce2","contributors":{"authors":[{"text":"Barnes, J. W.","contributorId":14554,"corporation":false,"usgs":false,"family":"Barnes","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":446979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bow, J.","contributorId":94882,"corporation":false,"usgs":true,"family":"Bow","given":"J.","email":"","affiliations":[],"preferred":false,"id":446992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwartz, J.","contributorId":37530,"corporation":false,"usgs":true,"family":"Schwartz","given":"J.","email":"","affiliations":[],"preferred":false,"id":446983,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, R. H.","contributorId":19931,"corporation":false,"usgs":false,"family":"Brown","given":"R.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":446980,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soderblom, J.M.","contributorId":31097,"corporation":false,"usgs":true,"family":"Soderblom","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":446981,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hayes, A. G.","contributorId":31098,"corporation":false,"usgs":false,"family":"Hayes","given":"A. G.","affiliations":[],"preferred":false,"id":446982,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vixie, G.","contributorId":91325,"corporation":false,"usgs":true,"family":"Vixie","given":"G.","email":"","affiliations":[],"preferred":false,"id":446990,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Le Mouélic, Stéphane","contributorId":92786,"corporation":false,"usgs":false,"family":"Le Mouélic","given":"Stéphane","affiliations":[],"preferred":false,"id":446991,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rodriguez, S.","contributorId":54329,"corporation":false,"usgs":false,"family":"Rodriguez","given":"S.","email":"","affiliations":[],"preferred":false,"id":446986,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sotin, Christophe","contributorId":53924,"corporation":false,"usgs":false,"family":"Sotin","given":"Christophe","email":"","affiliations":[],"preferred":false,"id":446985,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jaumann, R.","contributorId":81232,"corporation":false,"usgs":false,"family":"Jaumann","given":"R.","email":"","affiliations":[],"preferred":false,"id":446989,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Stephan, K.","contributorId":8976,"corporation":false,"usgs":true,"family":"Stephan","given":"K.","email":"","affiliations":[],"preferred":false,"id":446978,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Soderblom, L.A. 0000-0002-0917-853X","orcid":"https://orcid.org/0000-0002-0917-853X","contributorId":6139,"corporation":false,"usgs":true,"family":"Soderblom","given":"L.A.","affiliations":[],"preferred":false,"id":446976,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Clark, Roger N. 0000-0002-7021-1220 rclark@usgs.gov","orcid":"https://orcid.org/0000-0002-7021-1220","contributorId":515,"corporation":false,"usgs":true,"family":"Clark","given":"Roger","email":"rclark@usgs.gov","middleInitial":"N.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":446977,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Buratti, B. J.","contributorId":69280,"corporation":false,"usgs":false,"family":"Buratti","given":"B.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":446988,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Baines, K. H.","contributorId":37868,"corporation":false,"usgs":false,"family":"Baines","given":"K.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":446984,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Nicholson, P. D.","contributorId":54330,"corporation":false,"usgs":false,"family":"Nicholson","given":"P.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":446987,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70034678,"text":"70034678 - 2011 - Potential effects of alpha-recoil on uranium-series dating of calcrete","interactions":[],"lastModifiedDate":"2013-07-26T12:53:12","indexId":"70034678","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Potential effects of alpha-recoil on uranium-series dating of calcrete","docAbstract":"Evaluation of paleosol ages in the vicinity of Yucca Mountain, Nevada, at the time the site of a proposed high-level nuclear waste repository, is important for fault-displacement hazard assessment. Uranium-series isotope data were obtained for surface and subsurface calcrete samples from trenches and boreholes in Midway Valley, Nevada, adjacent to Yucca Mountain. 230Th/U ages of 33 surface samples range from 1.3 to 423 thousand years (ka) and the back-calculated 234U/238U initial activity ratios (AR) are relatively constant with a mean value of 1.54 ± 0.15 (1σ), which is consistent with the closed-system behavior. Subsurface calcrete samples are too old to be dated by the 230Th/U method. U-Pb data for post-pedogenic botryoidal opal from a subsurface calcrete sample show that these subsurface calcrete samples are older than ~ 1.65 million years (Ma), old enough to have attained secular equilibrium had their U-Th systems remained closed. However, subsurface calcrete samples show U-series disequilibrium indicating open-system behavior of 238U daughter isotopes, in contrast with the surface calcrete, where open-system behavior is not evident. Data for 21 subsurface calcrete samples yielded calculable 234U/238U model ages ranging from 130 to 1875 ka (assuming an initial AR of 1.54 ± 0.15, the mean value calculated for the surface calcrete samples). A simple model describing continuous α-recoil loss predicts that the 234U/238U and 230Th/238U ARs reach steady-state values ~ 2 Ma after calcrete formation. Potential effects of open-system behavior on 230Th/U ages and initial 234U/238U ARs for younger surface calcrete were estimated using data for old subsurface calcrete samples with the 234U loss and assuming that the total time of water-rock interaction is the only difference between these soils. The difference between the conventional closed-system and open-system ages may exceed errors of the calculated conventional ages for samples older than ~ 250 ka, but is negligible for younger soils.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2011.01.013","issn":"00092541","usgsCitation":"Neymark, L., 2011, Potential effects of alpha-recoil on uranium-series dating of calcrete: Chemical Geology, v. 282, no. 3-4, p. 98-112, https://doi.org/10.1016/j.chemgeo.2011.01.013.","productDescription":"15 p.","startPage":"98","endPage":"112","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":215895,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2011.01.013"},{"id":243730,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"282","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7ec9e4b0c8380cd7a74d","contributors":{"authors":[{"text":"Neymark, L.A. 0000-0003-4190-0278","orcid":"https://orcid.org/0000-0003-4190-0278","contributorId":56673,"corporation":false,"usgs":true,"family":"Neymark","given":"L.A.","affiliations":[],"preferred":false,"id":447009,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70034679,"text":"70034679 - 2011 - Semi-quantitative evaluation of fecal contamination potential by human and ruminant sources using multiple lines of evidence","interactions":[],"lastModifiedDate":"2021-04-13T20:23:18.698557","indexId":"70034679","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Semi-quantitative evaluation of fecal contamination potential by human and ruminant sources using multiple lines of evidence","docAbstract":"Protocols for microbial source tracking of fecal contamination generally are able to identify when a source of contamination is present, but thus far have been unable to evaluate what portion of fecal-indicator bacteria (FIB) came from various sources. A mathematical approach to estimate relative amounts of FIB, such as Escherichia coli, from various sources based on the concentration and distribution of microbial source tracking markers in feces was developed. The approach was tested using dilute fecal suspensions, then applied as part of an analytical suite to a contaminated headwater stream in the Rocky Mountains (Upper Fountain Creek, Colorado). In one single-source fecal suspension, a source that was not present could not be excluded because of incomplete marker specificity; however, human and ruminant sources were detected whenever they were present. In the mixed-feces suspension (pet and human), the minority contributor (human) was detected at a concentration low enough to preclude human contamination as the dominant source of E. coli to the sample. Without the semi-quantitative approach described, simple detects of human-associated marker in stream samples would have provided inaccurate evidence that human contamination was a major source of E. coli to the stream. In samples from Upper Fountain Creek the pattern of E. coli, general and host-associated microbial source tracking markers, nutrients, and wastewater-associated chemical detections—augmented with local observations and land-use patterns—indicated that, contrary to expectations, birds rather than humans or ruminants were the predominant source of fecal contamination to Upper Fountain Creek. This new approach to E. coli allocation, validated by a controlled study and tested by application in a relatively simple setting, represents a widely applicable step forward in the field of microbial source tracking of fecal contamination.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2011.03.037","issn":"00431354","usgsCitation":"Stoeckel, D.M., Stelzer, E.A., Stogner, and Mau, D.P., 2011, Semi-quantitative evaluation of fecal contamination potential by human and ruminant sources using multiple lines of evidence: Water Research, v. 45, no. 10, p. 3225-3244, https://doi.org/10.1016/j.watres.2011.03.037.","productDescription":"20 p.","startPage":"3225","endPage":"3244","costCenters":[],"links":[{"id":243731,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215896,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.watres.2011.03.037"}],"volume":"45","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8d07e4b08c986b318231","contributors":{"authors":[{"text":"Stoeckel, D. M.","contributorId":84855,"corporation":false,"usgs":true,"family":"Stoeckel","given":"D.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":447012,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stelzer, Erin A. 0000-0001-7645-7603 eastelzer@usgs.gov","orcid":"https://orcid.org/0000-0001-7645-7603","contributorId":1933,"corporation":false,"usgs":true,"family":"Stelzer","given":"Erin","email":"eastelzer@usgs.gov","middleInitial":"A.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":447011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stogner 0000-0002-3185-1452 rstogner@usgs.gov","orcid":"https://orcid.org/0000-0002-3185-1452","contributorId":938,"corporation":false,"usgs":true,"family":"Stogner","email":"rstogner@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":447013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mau, David P. dpmau@usgs.gov","contributorId":457,"corporation":false,"usgs":true,"family":"Mau","given":"David","email":"dpmau@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":447010,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034235,"text":"70034235 - 2011 - Habitat use of nesting and brood-rearing King Rails in the Illinois and Upper Mississippi River Valleys","interactions":[],"lastModifiedDate":"2015-07-22T10:07:43","indexId":"70034235","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Habitat use of nesting and brood-rearing King Rails in the Illinois and Upper Mississippi River Valleys","docAbstract":"Most studies of King Rail (Rallus elegans) have investigated habitat use during the nesting season, while few comparisons have been made between the nesting and brood-rearing seasons. King Rails were located during the nesting season in Missouri using repeated surveys with call playback, and systematic searches for broods were conducted during the brood-rearing season. King Rail adults were located at twelve points in 2006 and 14 points in 2007, and five King Rail broods were located in each year. Water depth was measured and dominant cover type determined for randomly sampled 5-m plots within used and unused habitats. Logistic regression models were fitted to the data and top models were selected from the candidate set using AICc. Nesting adults occurred more often in areas dominated by short (≤1 m) emergent vegetation (![\"\"](\"http://www.bioone.org/na101/home/literatum/publisher/bioone/journals/content/cowa/2011/063.034.0200/063.034.0204/production/images/medium/fi01_160.gif\")
= 0.77 ± 0.27) and deeper water ( = 0.05 ± 0.02). Broods occurred more often in areas dominated by short emergent vegetation ( = 1.19 ± 0.37) and shallow water ( = -0.17 ± 0.06), and avoided areas dominated by tall (>1 m) emergent vegetation ( =-1.15 ± 0.45). A modified catch-curve analysis was used to estimate chick daily survival rates during selected 7-day periods for each year. Daily survival rate ranged from 0.92 ± 0.008 in late June 2007 to 0.96 ± 0.005 in late July 2006. Management plans for King Rails should include the different habitat types needed during the nesting and brood-rearing stages.
","largerWorkTitle":"Waterbirds","language":"English","doi":"10.1675/063.034.0204","issn":"15244695","usgsCitation":"Darrah, A., and Krementz, D., 2011, Habitat use of nesting and brood-rearing King Rails in the Illinois and Upper Mississippi River Valleys: Waterbirds, v. 34, no. 2, p. 160-167, https://doi.org/10.1675/063.034.0204.","startPage":"160","endPage":"167","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":244778,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216880,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1675/063.034.0204"}],"volume":"34","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2f47e4b0c8380cd5cc46","contributors":{"authors":[{"text":"Darrah, A.J.","contributorId":57691,"corporation":false,"usgs":true,"family":"Darrah","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":444800,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krementz, D.G.","contributorId":74332,"corporation":false,"usgs":true,"family":"Krementz","given":"D.G.","affiliations":[],"preferred":false,"id":444801,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70033820,"text":"70033820 - 2011 - Millennial precipitation reconstruction for the Jemez Mountains, New Mexico, reveals changing drought signal","interactions":[],"lastModifiedDate":"2018-04-03T11:24:17","indexId":"70033820","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2032,"text":"International Journal of Climatology","active":true,"publicationSubtype":{"id":10}},"title":"Millennial precipitation reconstruction for the Jemez Mountains, New Mexico, reveals changing drought signal","docAbstract":"Drought is a recurring phenomenon in the American Southwest. Since the frequency and severity of hydrologic droughts and other hydroclimatic events are of critical importance to the ecology and rapidly growing human population of this region, knowledge of long-term natural hydroclimatic variability is valuable for resource managers and policy-makers. An October–June precipitation reconstruction for the period AD 824–2007 was developed from multi-century tree-ring records of Pseudotsuga menziesii (Douglas-fir), Pinus strobiformis (Southwestern white pine) and Pinus ponderosa (Ponderosa pine) for the Jemez Mountains in Northern New Mexico. Calibration and verification statistics for the period 1896–2007 show a high level of skill, and account for a significant portion of the observed variance (>50%) irrespective of which period is used to develop or verify the regression model. Split-sample validation supports our use of a reconstruction model based on the full period of reliable observational data (1896–2007). A recent segment of the reconstruction (2000–2006) emerges as the driest 7-year period sensed by the trees in the entire record. That this period was only moderately dry in precipitation anomaly likely indicates accentuated stress from other factors, such as warmer temperatures. Correlation field maps of actual and reconstructed October–June total precipitation, sea surface temperatures and 500-mb geopotential heights show characteristics that are similar to those indicative of El Niño–Southern Oscillation patterns, particularly with regard to ocean and atmospheric conditions in the equatorial and north Pacific. Our 1184-year reconstruction of hydroclimatic variability provides long-term perspective on current and 20th century wet and dry events in Northern New Mexico, is useful to guide expectations of future variability, aids sustainable water management, provides scenarios for drought planning and as inputs for hydrologic models under a broader range of conditions than those provided by historical climate records.
","language":"English","publisher":"Wiley","doi":"10.1002/joc.2117","usgsCitation":"Touchan, R., Woodhouse, C.A., Meko, D.M., and Allen, C.D., 2011, Millennial precipitation reconstruction for the Jemez Mountains, New Mexico, reveals changing drought signal: International Journal of Climatology, v. 31, no. 6, p. 896-906, https://doi.org/10.1002/joc.2117.","productDescription":"11 p.","startPage":"896","endPage":"906","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":241842,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jemez Mounains","volume":"31","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-04-15","publicationStatus":"PW","scienceBaseUri":"505a572ee4b0c8380cd6daec","contributors":{"authors":[{"text":"Touchan, Ramzi","contributorId":77863,"corporation":false,"usgs":true,"family":"Touchan","given":"Ramzi","affiliations":[],"preferred":false,"id":442695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodhouse, Connie A.","contributorId":187601,"corporation":false,"usgs":false,"family":"Woodhouse","given":"Connie","email":"","middleInitial":"A.","affiliations":[{"id":32413,"text":"University of Arizona, Tucson, AZ, USA, 85721","active":true,"usgs":false}],"preferred":false,"id":442697,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meko, David M.","contributorId":145887,"corporation":false,"usgs":false,"family":"Meko","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":442696,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":442694,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034111,"text":"70034111 - 2011 - Lagrangian mass-flow investigations of inorganic contaminants in wastewater-impacted streams","interactions":[],"lastModifiedDate":"2020-01-14T10:10:14","indexId":"70034111","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Lagrangian mass-flow investigations of inorganic contaminants in wastewater-impacted streams","docAbstract":"Understanding the potential effects of increased reliance on wastewater treatment plant (WWTP) effluents to meet municipal, agricultural, and environmental flow requires an understanding of the complex chemical loading characteristics of the WWTPs and the assimilative capacity of receiving waters. Stream ecosystem effects are linked to proportions of WWTP effluent under low-flow conditions as well as the nature of the effluent chemical mixtures. This study quantifies the loading of 58 inorganic constituents (nutrients to rare earth elements) from WWTP discharges relative to upstream landscape-based sources. Stream assimilation capacity was evaluated by Lagrangian sampling, using flow velocities determined from tracer experiments to track the same parcel of water as it moved downstream. Boulder Creek, Colorado and Fourmile Creek, Iowa, representing two different geologic and hydrologic landscapes, were sampled under low-flow conditions in the summer and spring. One-half of the constituents had greater loads from the WWTP effluents than the upstream drainages, and once introduced into the streams, dilution was the predominant assimilation mechanism. Only ammonium and bismuth had significant decreases in mass load downstream from the WWTPs during all samplings. The link between hydrology and water chemistry inherent in Lagrangian sampling allows quantitative assessment of chemical fate across different landscapes.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/es104138y","issn":"0013936X","usgsCitation":"Barber, L.B., Antweiler, R.C., Flynn, J., Keefe, S., Kolpin, D., Roth, D., Schnoebelen, D., Taylor, H.E., and Verplanck, P., 2011, Lagrangian mass-flow investigations of inorganic contaminants in wastewater-impacted streams: Environmental Science & Technology, v. 45, no. 7, p. 2575-2583, https://doi.org/10.1021/es104138y.","productDescription":"9 p.","startPage":"2575","endPage":"2583","numberOfPages":"9","ipdsId":"IP-014941","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":244421,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-03-07","publicationStatus":"PW","scienceBaseUri":"505a4134e4b0c8380cd653a5","contributors":{"authors":[{"text":"Barber, L. B.","contributorId":64602,"corporation":false,"usgs":true,"family":"Barber","given":"L.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":444147,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Antweiler, Ronald C. 0000-0001-5652-6034 antweil@usgs.gov","orcid":"https://orcid.org/0000-0001-5652-6034","contributorId":1481,"corporation":false,"usgs":true,"family":"Antweiler","given":"Ronald","email":"antweil@usgs.gov","middleInitial":"C.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":444146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flynn, J.L.","contributorId":39889,"corporation":false,"usgs":true,"family":"Flynn","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":444145,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keefe, S.H.","contributorId":18965,"corporation":false,"usgs":true,"family":"Keefe","given":"S.H.","email":"","affiliations":[],"preferred":false,"id":444143,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kolpin, D.W.","contributorId":87565,"corporation":false,"usgs":true,"family":"Kolpin","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":444148,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roth, D.A.","contributorId":100864,"corporation":false,"usgs":true,"family":"Roth","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":444150,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schnoebelen, D.J.","contributorId":98352,"corporation":false,"usgs":true,"family":"Schnoebelen","given":"D.J.","affiliations":[],"preferred":false,"id":444149,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Taylor, Howard E. hetaylor@usgs.gov","contributorId":1551,"corporation":false,"usgs":true,"family":"Taylor","given":"Howard","email":"hetaylor@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":444144,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Verplanck, P. L. 0000-0002-3653-6419","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":106565,"corporation":false,"usgs":true,"family":"Verplanck","given":"P. L.","affiliations":[],"preferred":false,"id":444151,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70034348,"text":"70034348 - 2011 - Factors controlling the early stages of viral haemorrhagic septicaemia epizootics: Low exposure levels, virus amplification and fish-to-fish transmission","interactions":[],"lastModifiedDate":"2021-04-21T20:57:26.14567","indexId":"70034348","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Factors controlling the early stages of viral haemorrhagic septicaemia epizootics: Low exposure levels, virus amplification and fish-to-fish transmission","docAbstract":"Viral haemorrhagic septicaemia virus, Genogroup IVa (VHSV), was highly infectious to Pacific herring, Clupea pallasii (Valenciennes), even at exposure doses occurring below the threshold of sensitivity for a standard viral plaque assay; however, further progression of the disease to a population‐level epizootic required viral amplification and effective fish‐to‐fish transmission. Among groups of herring injected with VHSV, the prevalence of infection was dose‐dependent, ranging from 100%, 75% and 38% after exposure to 19, 0.7 and 0.07 plaque‐forming units (PFU)/fish, respectively. Among Pacific herring exposed to waterborne VHSV (140 PFU mL−1), the prevalence of infection, geometric mean viral tissue titre and cumulative mortality were greater among cohabitated herring than among cohorts that were held in individual aquaria, where fish‐to‐fish transmission was prevented. Fish‐to‐fish transmission among cohabitated herring probably occurred via exposure to shed virus which peaked at 680 PFU mL−1; shed virus was not detected in the tank water from any isolated individuals. The results provide insights into mechanisms that initiate epizootic cascades in populations of wild herring and have implications for the design of VHSV surveys in wild fish populations.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2761.2011.01305.x","issn":"01407775","usgsCitation":"Hershberger, P., Gregg, J., Grady, C., Hart, L., Roon, S., and Winton, J., 2011, Factors controlling the early stages of viral haemorrhagic septicaemia epizootics: Low exposure levels, virus amplification and fish-to-fish transmission: Journal of Fish Diseases, v. 34, no. 12, p. 893-899, https://doi.org/10.1111/j.1365-2761.2011.01305.x.","productDescription":"7 p.","startPage":"893","endPage":"899","numberOfPages":"7","costCenters":[],"links":[{"id":244591,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216705,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2761.2011.01305.x"}],"volume":"34","issue":"12","noUsgsAuthors":false,"publicationDate":"2011-10-13","publicationStatus":"PW","scienceBaseUri":"505a0ebde4b0c8380cd535d4","contributors":{"authors":[{"text":"Hershberger, P.K. 0000-0002-2261-7760","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":58818,"corporation":false,"usgs":true,"family":"Hershberger","given":"P.K.","affiliations":[],"preferred":false,"id":445351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gregg, J.L.","contributorId":78521,"corporation":false,"usgs":true,"family":"Gregg","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":445352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grady, C.A.","contributorId":7929,"corporation":false,"usgs":true,"family":"Grady","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":445348,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hart, L.M.","contributorId":44008,"corporation":false,"usgs":true,"family":"Hart","given":"L.M.","email":"","affiliations":[],"preferred":false,"id":445350,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roon, S.R.","contributorId":36779,"corporation":false,"usgs":true,"family":"Roon","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":445349,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Winton, J. R. 0000-0002-3505-5509","orcid":"https://orcid.org/0000-0002-3505-5509","contributorId":82441,"corporation":false,"usgs":true,"family":"Winton","given":"J. R.","affiliations":[],"preferred":false,"id":445353,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70036165,"text":"70036165 - 2011 - Long-term patterns and short-term dynamics of stream solutes and suspended sediment in a rapidly weathering tropical watershed","interactions":[],"lastModifiedDate":"2021-01-26T20:14:42.384791","indexId":"70036165","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Long-term patterns and short-term dynamics of stream solutes and suspended sediment in a rapidly weathering tropical watershed","docAbstract":"The 326 ha Río Icacos watershed in the tropical wet forest of the Luquillo Mountains, northeastern Puerto Rico, is underlain by granodiorite bedrock with weathering rates among the highest in the world. We pooled stream chemistry and total suspended sediment (TSS) data sets from three discrete periods: 1983–1987, 1991–1997, and 2000–2008. During this period three major hurricanes crossed the site: Hugo in 1989, Hortense in 1996, and Georges in 1998. Stream chemistry reflects sea salt inputs (Na, Cl, and SO4), and high weathering rates of the granodiorite (Ca, Mg, Si, and alkalinity). During rainfall, stream composition shifts toward that of precipitation, diluting 90% or more in the largest storms, but maintains a biogeochemical watershed signal marked by elevated K and dissolved organic carbon (DOC) concentration. DOC exhibits an unusual “boomerang” pattern, initially increasing with flow but then decreasing at the highest flows as it becomes depleted and/or vigorous overland flow minimizes contact with watershed surfaces. TSS increased markedly with discharge (power function slope 1.54), reflecting the erosive power of large storms in a landslide‐prone landscape. The relations of TSS and most solute concentrations with stream discharge were stable through time, suggesting minimal long‐term effects from repeated hurricane disturbance. Nitrate concentration, however, increased about threefold in response to hurricanes then returned to baseline over several years following a pseudo first‐order decay pattern. The combined data sets provide insight about important hydrologic pathways, a long‐term perspective to assess response to hurricanes, and a framework to evaluate future climate change in tropical ecosystems.
","largerWorkTitle":"Water Resources Research","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010WR009788","issn":"00431397","usgsCitation":"Shanley, J.B., McDowell, W.H., and Stallard, R.F., 2011, Long-term patterns and short-term dynamics of stream solutes and suspended sediment in a rapidly weathering tropical watershed: Water Resources Research, v. 47, no. 7, W07515, 11 p., https://doi.org/10.1029/2010WR009788.","productDescription":"W07515, 11 p.","costCenters":[],"links":[{"id":246302,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218303,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010WR009788"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Río Icacos watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -65.88775634765625,\n 18.21761162872689\n ],\n [\n -65.6982421875,\n 18.21761162872689\n ],\n [\n -65.6982421875,\n 18.35582895074145\n ],\n [\n -65.88775634765625,\n 18.35582895074145\n ],\n [\n -65.88775634765625,\n 18.21761162872689\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-07-09","publicationStatus":"PW","scienceBaseUri":"505a499fe4b0c8380cd68772","contributors":{"authors":[{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":454524,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDowell, W. H.","contributorId":88532,"corporation":false,"usgs":false,"family":"McDowell","given":"W.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":454525,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stallard, Robert F. 0000-0001-8209-7608 stallard@usgs.gov","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":1924,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","email":"stallard@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":454523,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034351,"text":"70034351 - 2011 - Simulation of branched serial first-order decay of atrazine and metabolites in adapted and nonadapted soils","interactions":[],"lastModifiedDate":"2021-05-27T14:37:52.160923","indexId":"70034351","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Simulation of branched serial first-order decay of atrazine and metabolites in adapted and nonadapted soils","docAbstract":"In the present study a branched serial first‐order decay (BSFOD) model is presented and used to derive transformation rates describing the decay of a common herbicide, atrazine, and its metabolites observed in unsaturated soils adapted to previous atrazine applications and in soils with no history of atrazine applications. Calibration of BSFOD models for soils throughout the country can reduce the uncertainty, relative to that of traditional models, in predicting the fate and transport of pesticides and their metabolites and thus support improved agricultural management schemes for reducing threats to the environment. Results from application of the BSFOD model to better understand the degradation of atrazine supports two previously reported conclusions: atrazine (6‐chloro‐N‐ethyl‐N′‐(1‐methylethyl)‐1,3,5‐triazine‐2,4‐diamine) and its primary metabolites are less persistent in adapted soils than in nonadapted soils; and hydroxyatrazine was the dominant primary metabolite in most of the soils tested. In addition, a method to simulate BSFOD in a one‐dimensional solute‐transport unsaturated zone model is also presented.
","language":"English","publisher":"Wiley","doi":"10.1002/etc.597","usgsCitation":"Webb, R.M., Sandstrom, M.W., Krutz, L., and Shaner, D., 2011, Simulation of branched serial first-order decay of atrazine and metabolites in adapted and nonadapted soils: Environmental Toxicology and Chemistry, v. 30, no. 9, p. 1973-1981, https://doi.org/10.1002/etc.597.","productDescription":"9 p.","startPage":"1973","endPage":"1981","numberOfPages":"9","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"links":[{"id":244656,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"9","noUsgsAuthors":false,"publicationDate":"2011-09-01","publicationStatus":"PW","scienceBaseUri":"505b9014e4b08c986b3192e5","contributors":{"authors":[{"text":"Webb, R. M.","contributorId":97065,"corporation":false,"usgs":true,"family":"Webb","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":445368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":445366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krutz, L.J.","contributorId":22605,"corporation":false,"usgs":true,"family":"Krutz","given":"L.J.","email":"","affiliations":[],"preferred":false,"id":445365,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaner, D. L.","contributorId":70215,"corporation":false,"usgs":true,"family":"Shaner","given":"D. L.","affiliations":[],"preferred":false,"id":445367,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70035552,"text":"70035552 - 2011 - Western Arctic Ocean temperature variability during the last 8000 years","interactions":[],"lastModifiedDate":"2013-04-16T10:48:19","indexId":"70035552","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Western Arctic Ocean temperature variability during the last 8000 years","docAbstract":"We reconstructed subsurface (∼200–400 m) ocean temperature and sea-ice cover in the Canada Basin, western Arctic Ocean from foraminiferal δ18O, ostracode Mg/Ca ratios, and dinocyst assemblages from two sediment core records covering the last 8000 years. Results show mean temperature varied from −1 to 0.5°C and −0.5 to 1.5°C at 203 and 369 m water depths, respectively. Centennial-scale warm periods in subsurface temperature records correspond to reductions in summer sea-ice cover inferred from dinocyst assemblages around 6.5 ka, 3.5 ka, 1.8 ka and during the 15th century Common Era. These changes may reflect centennial changes in the temperature and/or strength of inflowing Atlantic Layer water originating in the eastern Arctic Ocean. By comparison, the 0.5 to 0.7°C warm temperature anomaly identified in oceanographic records from the Atlantic Layer of the Canada Basin exceeded reconstructed Atlantic Layer temperatures for the last 1200 years by about 0.5°C.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2011GL049714","issn":"00948276","usgsCitation":"Farmer, J.R., Cronin, T.M., De Vernal, A., Dwyer, G., Keigwin, L.D., and Thunell, R.C., 2011, Western Arctic Ocean temperature variability during the last 8000 years: Geophysical Research Letters, v. 38, no. 24, https://doi.org/10.1029/2011GL049714.","costCenters":[],"links":[{"id":475405,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011gl049714","text":"Publisher Index Page"},{"id":216039,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011GL049714"},{"id":243878,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"24","noUsgsAuthors":false,"publicationDate":"2011-12-17","publicationStatus":"PW","scienceBaseUri":"505bcfffe4b08c986b32ec0e","contributors":{"authors":[{"text":"Farmer, Jesse R.","contributorId":35564,"corporation":false,"usgs":true,"family":"Farmer","given":"Jesse","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":451205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":451204,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De Vernal, Anne","contributorId":42057,"corporation":false,"usgs":true,"family":"De Vernal","given":"Anne","email":"","affiliations":[],"preferred":false,"id":451206,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dwyer, Gary S.","contributorId":67642,"corporation":false,"usgs":true,"family":"Dwyer","given":"Gary S.","affiliations":[],"preferred":false,"id":451208,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keigwin, Loyd D.","contributorId":46790,"corporation":false,"usgs":false,"family":"Keigwin","given":"Loyd","email":"","middleInitial":"D.","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":451207,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thunell, Robert C.","contributorId":71028,"corporation":false,"usgs":false,"family":"Thunell","given":"Robert","email":"","middleInitial":"C.","affiliations":[{"id":36280,"text":"Department of Earth and Ocean Sciences, University of South Carolina,","active":true,"usgs":false}],"preferred":false,"id":451209,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034532,"text":"70034532 - 2011 - Storage as a Metric of Catchment Comparison","interactions":[],"lastModifiedDate":"2021-04-16T21:09:39.262456","indexId":"70034532","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Storage as a Metric of Catchment Comparison","docAbstract":"The volume of water stored within a catchment, and its partitioning among groundwater, soil moisture, snowpack, vegetation, and surface water are the variables that ultimately characterize the state of the hydrologic system. Accordingly, storage may provide useful metrics for catchment comparison. Unfortunately, measuring and predicting the amount of water present in a catchment is seldom done; tracking the dynamics of these stores is even rarer. Storage moderates fluxes and exerts critical controls on a wide range of hydrologic and biologic functions of a catchment. While understanding runoff generation and other processes by which catchments release water will always be central to hydrologic science, it is equally essential to understand how catchments retain water. We have initiated a catchment comparison exercise to begin assessing the value of viewing catchments from the storage perspective. The exercise is based on existing data from five watersheds, no common experimental design, and no integrated modelling efforts. Rather, storage was estimated independently for each site. This briefing presents some initial results of the exercise, poses questions about the definitions and importance of storage and the storage perspective, and suggests future directions for ongoing activities.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.8113","issn":"08856087","usgsCitation":"McNamara, J.P., Tetzlaff, D., Bishop, K., Soulsby, C., Seyfried, M., Peters, N., Aulenbach, B., and Hooper, R., 2011, Storage as a Metric of Catchment Comparison: Hydrological Processes, v. 25, no. 21, p. 3364-3371, https://doi.org/10.1002/hyp.8113.","productDescription":"8 p.","startPage":"3364","endPage":"3371","costCenters":[],"links":[{"id":243438,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215622,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.8113"}],"volume":"25","issue":"21","noUsgsAuthors":false,"publicationDate":"2011-05-10","publicationStatus":"PW","scienceBaseUri":"505b986de4b08c986b31c01f","contributors":{"authors":[{"text":"McNamara, J. P.","contributorId":105551,"corporation":false,"usgs":false,"family":"McNamara","given":"J.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":446251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tetzlaff, D.","contributorId":106622,"corporation":false,"usgs":true,"family":"Tetzlaff","given":"D.","email":"","affiliations":[],"preferred":false,"id":446252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bishop, K.","contributorId":43191,"corporation":false,"usgs":true,"family":"Bishop","given":"K.","email":"","affiliations":[],"preferred":false,"id":446248,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Soulsby, C.","contributorId":40713,"corporation":false,"usgs":true,"family":"Soulsby","given":"C.","affiliations":[],"preferred":false,"id":446247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seyfried, M.","contributorId":51119,"corporation":false,"usgs":true,"family":"Seyfried","given":"M.","email":"","affiliations":[],"preferred":false,"id":446249,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peters, N.E.","contributorId":33332,"corporation":false,"usgs":true,"family":"Peters","given":"N.E.","email":"","affiliations":[],"preferred":false,"id":446245,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Aulenbach, Brent T.","contributorId":62766,"corporation":false,"usgs":true,"family":"Aulenbach","given":"Brent T.","affiliations":[],"preferred":false,"id":446250,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hooper, R.","contributorId":40036,"corporation":false,"usgs":true,"family":"Hooper","given":"R.","affiliations":[],"preferred":false,"id":446246,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70034435,"text":"70034435 - 2011 - Overpressure generation by load transfer following shale framework weakening due to smectite diagenesis","interactions":[],"lastModifiedDate":"2021-04-20T19:24:29.86206","indexId":"70034435","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1765,"text":"Geofluids","active":true,"publicationSubtype":{"id":10}},"title":"Overpressure generation by load transfer following shale framework weakening due to smectite diagenesis","docAbstract":"Basin model studies which have addressed the importance of smectite conversion to illite as a source of overpressure in the Gulf of Mexico have principally relied on a single‐shale compaction model and treated the smectite reaction as only a fluid‐source term. Recent fluid pressure interpretation and shale petrology studies indicate that conversion of bound water to mobile water, dissolution of load‐bearing grains, and increased preferred orientation change the compaction properties of the shale. This results in substantial changes in effective stress and fluid pressure. The resulting fluid pressure can be 1500–3000 psi higher than pressures interpreted from models based on shallow compaction trends. Shale diagenesis changes the mineralogy, volume, and orientation of the load‐bearing grains in the shale as well as the volume of bound water. This process creates a weaker (more compactable) grain framework. When these changes occur without fluid export from the shale, some of the stress is transferred from the grains onto the fluid. Observed relationships between shale density and calculated effective stress in Gulf of Mexico shelf wells confirm these changes in shale properties with depth. Further, the density–effective stress changes cannot be explained by fluid‐expansion or fluid‐source processes or by prediagenesis compaction, but are consistent with a dynamic diagenetic modification of the shale mineralogy, texture, and compaction properties during burial. These findings support the incorporation of diagenetic modification of compaction properties as part of the fluid pressure interpretation process.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1468-8123.2011.00350.x","issn":"14688115","usgsCitation":"Lahann, R., and Swarbrick, R., 2011, Overpressure generation by load transfer following shale framework weakening due to smectite diagenesis: Geofluids, v. 11, no. 4, p. 362-375, https://doi.org/10.1111/j.1468-8123.2011.00350.x.","productDescription":"14 p.","startPage":"362","endPage":"375","costCenters":[],"links":[{"id":244472,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216592,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1468-8123.2011.00350.x"}],"volume":"11","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-09-28","publicationStatus":"PW","scienceBaseUri":"505a71dee4b0c8380cd767e8","contributors":{"authors":[{"text":"Lahann, R.W.","contributorId":85797,"corporation":false,"usgs":true,"family":"Lahann","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":445770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swarbrick, R.E.","contributorId":77770,"corporation":false,"usgs":true,"family":"Swarbrick","given":"R.E.","email":"","affiliations":[],"preferred":false,"id":445769,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034333,"text":"70034333 - 2011 - Bed morphology, flow structure, and sediment transport at the outlet of Lake Huron and in the upper St. Clair River","interactions":[],"lastModifiedDate":"2021-04-22T16:16:43.801104","indexId":"70034333","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Bed morphology, flow structure, and sediment transport at the outlet of Lake Huron and in the upper St. Clair River","docAbstract":"An integrated multibeam echo sounder and acoustic Doppler current profiler field survey was conducted in July 2008 to investigate the morphodynamics of the St. Clair River at the outlet of Lake Huron. The principal morphological features of the upper St. Clair River included flow-transverse bedforms that appear weakly mobile, erosive bedforms in cohesive muds, thin non-cohesive veneers of weakly mobile sediment that cover an underlying cohesive (till or glacio-lacustrine) surface, and vegetation that covers the bed. The flow was characterized by acceleration as the banks constrict from Lake Huron into the St. Clair River, an approximately 1500-m long region of flow separation downstream from the Blue Water Bridge, and secondary flow connected to: i) channel curvature; ii) forcing of the flow by local bed topography, and iii) flow wakes in the lee side of ship wrecks. Nearshore, sand-sized, sediment from Lake Huron was capable of being transported into, and principally along, the banks of the upper St. Clair River by the measured flow. A comparison of bathymetric surveys conducted in 2007 and 2008 identifies that the gravel bed does undergo slow downstream movement, but that this movement does not appear to be generated by the mean flow, and could possibly be caused by ship-propeller-induced turbulence. The study results suggest that the measured mean flow and dredging within the channel have not produced major scour of the upper St. Clair River and that the recent fall in the level of Lake Huron is unlikely to have been caused by these mechanisms.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2011.05.011","issn":"03801330","usgsCitation":"Czuba, J.A., Best, J., Oberg, K.A., Parsons, D., Jackson, P., Garcia, M., and Ashmore, P., 2011, Bed morphology, flow structure, and sediment transport at the outlet of Lake Huron and in the upper St. Clair River: Journal of Great Lakes Research, v. 37, no. 3, p. 480-493, https://doi.org/10.1016/j.jglr.2011.05.011.","productDescription":"14 p.","startPage":"480","endPage":"493","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":244850,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216948,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2011.05.011"}],"country":"United States","state":"Michigan","otherGeospatial":"St. Clair River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.6556396484375,\n 42.791369723650135\n ],\n [\n -82.19970703125,\n 42.791369723650135\n ],\n [\n -82.19970703125,\n 43.141078106345866\n ],\n [\n -82.6556396484375,\n 43.141078106345866\n ],\n [\n -82.6556396484375,\n 42.791369723650135\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f03be4b0c8380cd4a67b","contributors":{"authors":[{"text":"Czuba, J. A.","contributorId":98036,"corporation":false,"usgs":true,"family":"Czuba","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":445276,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Best, J.L.","contributorId":49635,"corporation":false,"usgs":true,"family":"Best","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":445272,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oberg, K. A.","contributorId":67553,"corporation":false,"usgs":true,"family":"Oberg","given":"K.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":445273,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parsons, D.R.","contributorId":84322,"corporation":false,"usgs":true,"family":"Parsons","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":445275,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, P.R.","contributorId":68552,"corporation":false,"usgs":true,"family":"Jackson","given":"P.R.","email":"","affiliations":[],"preferred":false,"id":445274,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Garcia, M.H.","contributorId":45079,"corporation":false,"usgs":true,"family":"Garcia","given":"M.H.","email":"","affiliations":[],"preferred":false,"id":445271,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ashmore, P.","contributorId":102300,"corporation":false,"usgs":true,"family":"Ashmore","given":"P.","email":"","affiliations":[],"preferred":false,"id":445277,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70034556,"text":"70034556 - 2011 - A Regional Modeling Framework of Phosphorus Sources and Transport in Streams of the Southeastern United States","interactions":[],"lastModifiedDate":"2021-04-16T19:43:17.608421","indexId":"70034556","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"A Regional Modeling Framework of Phosphorus Sources and Transport in Streams of the Southeastern United States","docAbstract":"We applied the SPARROW model to estimate phosphorus transport from catchments to stream reaches and subsequent delivery to major receiving water bodies in the Southeastern United States (U.S.). We show that six source variables and five land‐to‐water transport variables are significant (p < 0.05) in explaining 67% of the variability in long‐term log‐transformed mean annual phosphorus yields. Three land‐to‐water variables are a subset of landscape characteristics that have been used as transport factors in phosphorus indices developed by state agencies and are identified through experimental research as influencing land‐to‐water phosphorus transport at field and plot scales. Two land‐to‐water variables – soil organic matter and soil pH – are associated with phosphorus sorption, a significant finding given that most state‐developed phosphorus indices do not explicitly contain variables for sorption processes. Our findings for Southeastern U.S. streams emphasize the importance of accounting for phosphorus present in the soil profile to predict attainable instream water quality. Regional estimates of phosphorus associated with soil‐parent rock were highly significant in explaining instream phosphorus yield variability. Model predictions associate 31% of phosphorus delivered to receiving water bodies to geology and the highest total phosphorus yields in the Southeast were catchments with already high background levels that have been impacted by human activity.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1752-1688.2010.00517.x","issn":"1093474X","usgsCitation":"Garcia, A., Hoos, A., and Terziotti, S., 2011, A Regional Modeling Framework of Phosphorus Sources and Transport in Streams of the Southeastern United States: Journal of the American Water Resources Association, v. 47, no. 5, p. 991-1010, https://doi.org/10.1111/j.1752-1688.2010.00517.x.","productDescription":"20 p.","startPage":"991","endPage":"1010","costCenters":[],"links":[{"id":475227,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/j.1752-1688.2010.00517.x","text":"External Repository"},{"id":243814,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215975,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2010.00517.x"}],"country":"United States","state":"Florida, Georgia, South Carolina, North Carolina, Virginia, Tennessee, Kentucky, Mississippi, Alabama, Georgia","otherGeospatial":"Southeastern United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.353515625,\n 26.96124577052697\n ],\n [\n -80.419921875,\n 27.780771643348196\n ],\n [\n -81.474609375,\n 30.50548389892728\n ],\n [\n -80.96923828125,\n 32.008075959291055\n ],\n [\n -79.3212890625,\n 33.17434155100208\n ],\n [\n -77.58544921874999,\n 34.14363482031264\n ],\n [\n -75.3662109375,\n 35.79999392988527\n ],\n [\n -75.498046875,\n 36.686041276581925\n ],\n [\n -82.8369140625,\n 36.98500309285596\n ],\n [\n -86.5283203125,\n 35.96022296929667\n ],\n [\n -88.22021484375,\n 36.94989178681327\n ],\n [\n -89.27490234375,\n 36.56260003738545\n ],\n [\n -87.9345703125,\n 35.24561909420681\n ],\n [\n -89.31884765624999,\n 34.03445260967645\n ],\n [\n -89.62646484375,\n 31.74685416292141\n ],\n [\n -89.62646484375,\n 30.088107753367257\n ],\n [\n -86.68212890625,\n 30.315987718557867\n ],\n [\n -85.40771484375,\n 30.050076521698735\n ],\n [\n -85.2978515625,\n 29.554345125748267\n ],\n [\n -84.287109375,\n 29.973970240516614\n ],\n [\n -83.03466796874999,\n 29.11377539511439\n ],\n [\n -82.7490234375,\n 28.76765910569123\n ],\n [\n -82.96875,\n 27.780771643348196\n ],\n [\n -82.353515625,\n 26.96124577052697\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-03-10","publicationStatus":"PW","scienceBaseUri":"5059e2ffe4b0c8380cd45d88","contributors":{"authors":[{"text":"Garcia, A.M.","contributorId":31585,"corporation":false,"usgs":true,"family":"Garcia","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":446388,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoos, A.B.","contributorId":23572,"corporation":false,"usgs":true,"family":"Hoos","given":"A.B.","affiliations":[],"preferred":false,"id":446387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Terziotti, S.","contributorId":102710,"corporation":false,"usgs":true,"family":"Terziotti","given":"S.","email":"","affiliations":[],"preferred":false,"id":446389,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034297,"text":"70034297 - 2011 - Beach characteristics mitigate effects of onshore wind on horseshoe crab spawning: Implications for matching with shorebird migration in Delaware Bay","interactions":[],"lastModifiedDate":"2021-04-23T12:40:28.752911","indexId":"70034297","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Beach characteristics mitigate effects of onshore wind on horseshoe crab spawning: Implications for matching with shorebird migration in Delaware Bay","docAbstract":"Disruption of food availability by unfavorable physical processes at energetically demanding times can limit recruitment of migratory species as predicted by the match–mismatch hypothesis. Identification and protection of disruption‐resistant habitat could contribute to system resilience. For example, horseshoe crab Limulus polyphemus spawning and shorebird stopover must match temporally in Delaware Bay for eggs to be available to shorebirds. Onshore winds that generate waves can create a mismatch by delaying horseshoe crab spawning. We examined effects of beach characteristics and onshore winds on spawning activity at five beaches when water temperatures were otherwise consistent with early spawning activity. Onshore winds resulted in reduced spawning activity during the shorebird stopover, when spawning typically peaks in late May. During the period with high onshore wind, egg density was highest on the foreshore exposed to the lowest wave heights. Onshore wind was low in early June, and spawning and egg densities were high at all sites, but shorebirds had departed. Beaches that can serve as a refuge from wind and waves can be identified by physical characteristics and orientation to prevailing winds and should receive special conservation status, especially in light of predicted increases in climate change‐induced storm frequency. These results point to a potential conservation strategy that includes coastal management for adapting to climate change‐induced mismatch of migrations.
","language":"English","publisher":"The Zoological Society of London","doi":"10.1111/j.1469-1795.2011.00481.x","issn":"13679430","usgsCitation":"Smith, D., Jackson, N., Nordstrom, K., and Weber, R., 2011, Beach characteristics mitigate effects of onshore wind on horseshoe crab spawning: Implications for matching with shorebird migration in Delaware Bay: Animal Conservation, v. 14, no. 5, p. 575-584, https://doi.org/10.1111/j.1469-1795.2011.00481.x.","productDescription":"10 p.","startPage":"575","endPage":"584","costCenters":[],"links":[{"id":244781,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware","otherGeospatial":"Delaware Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.60379028320312,\n 38.8504034216919\n ],\n [\n -74.74960327148438,\n 38.8504034216919\n ],\n [\n -74.74960327148438,\n 39.44785903194701\n ],\n [\n -75.60379028320312,\n 39.44785903194701\n ],\n [\n -75.60379028320312,\n 38.8504034216919\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-07-19","publicationStatus":"PW","scienceBaseUri":"5059f02fe4b0c8380cd4a626","contributors":{"authors":[{"text":"Smith, D. R. 0000-0001-6074-9257","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":44108,"corporation":false,"usgs":true,"family":"Smith","given":"D. R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":445136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, N.L.","contributorId":104189,"corporation":false,"usgs":true,"family":"Jackson","given":"N.L.","email":"","affiliations":[],"preferred":false,"id":445137,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nordstrom, K.F.","contributorId":17733,"corporation":false,"usgs":true,"family":"Nordstrom","given":"K.F.","email":"","affiliations":[],"preferred":false,"id":445134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weber, R.G.","contributorId":38686,"corporation":false,"usgs":true,"family":"Weber","given":"R.G.","affiliations":[],"preferred":false,"id":445135,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034282,"text":"70034282 - 2011 - Tracking nonpoint source nitrogen pollution in human-impacted watersheds","interactions":[],"lastModifiedDate":"2020-01-28T10:16:45","indexId":"70034282","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Tracking nonpoint source nitrogen pollution in human-impacted watersheds","docAbstract":"Nonpoint source nitrogen (N) pollution is a leading contributor to U.S. water quality impairments. We combined watershed N mass balances and stable isotopes to investigate fate and transport of nonpoint N in forest, agricultural, and urbanized watersheds at the Baltimore Long-Term Ecological Research site. Annual N retention was 55%, 68%, and 82% for agricultural, suburban, and forest watersheds, respectively. Analysis of δ15N-NO3–, and δ18O-NO3– indicated wastewater was an important nitrate source in urbanized streams during baseflow. Negative correlations between δ15N-NO3– and δ18O-NO3– in urban watersheds indicated mixing between atmospheric deposition and wastewater, and N source contributions changed with storm magnitude (atmospheric sources contributed ∼50% at peak storm N loads). Positive correlations between δ15N-NO3– and δ18O-NO3– in watersheds suggested denitrification was removing septic system and agriculturally derived N, but N from belowground leaking sewers was less susceptible to denitrification. N transformations were also observed in a storm drain (no natural drainage network) potentially due to organic carbon inputs. Overall, nonpoint sources such as atmospheric deposition, wastewater, and fertilizer showed different susceptibility to watershed N export. There were large changes in nitrate sources as a function of runoff, and anticipating source changes in response to climate and storms will be critical for managing nonpoint N pollution.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/es200779e","issn":"0013936X","usgsCitation":"Kaushal, S.S., Groffman, P., Band, L., Elliott, E.M., Shields, C.A., and Kendall, C., 2011, Tracking nonpoint source nitrogen pollution in human-impacted watersheds: Environmental Science & Technology, v. 45, no. 19, p. 8225-8232, https://doi.org/10.1021/es200779e.","productDescription":"8 p.","startPage":"8225","endPage":"8232","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":244523,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"19","noUsgsAuthors":false,"publicationDate":"2011-09-02","publicationStatus":"PW","scienceBaseUri":"505bb6a2e4b08c986b326dbc","contributors":{"authors":[{"text":"Kaushal, Sujay S.","contributorId":174385,"corporation":false,"usgs":false,"family":"Kaushal","given":"Sujay","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":445066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Groffman, Peter M","contributorId":168873,"corporation":false,"usgs":false,"family":"Groffman","given":"Peter M","affiliations":[{"id":25372,"text":"Senior Research Scientist, Cary Institute of Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":445063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Band, Lawrence","contributorId":174085,"corporation":false,"usgs":false,"family":"Band","given":"Lawrence","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":false,"id":445067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elliott, Emily M.","contributorId":174386,"corporation":false,"usgs":false,"family":"Elliott","given":"Emily","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":445068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shields, Catherine A.","contributorId":174387,"corporation":false,"usgs":false,"family":"Shields","given":"Catherine","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":445065,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kendall, Carol 0000-0002-0247-3405 ckendall@usgs.gov","orcid":"https://orcid.org/0000-0002-0247-3405","contributorId":1462,"corporation":false,"usgs":true,"family":"Kendall","given":"Carol","email":"ckendall@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":445064,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70033807,"text":"70033807 - 2011 - Removal of inorganic mercury and methylmercury from surface waters following coagulation of dissolved organic matter with metal-based salts","interactions":[],"lastModifiedDate":"2020-01-28T17:01:12","indexId":"70033807","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Removal of inorganic mercury and methylmercury from surface waters following coagulation of dissolved organic matter with metal-based salts","docAbstract":"The presence of inorganic mercury (IHg) and methylmercury (MeHg) in surface waters is a health concern worldwide. This study assessed the removal potential use of metal-based coagulants as a means to remove both dissolved IHg and MeHg from natural waters and provides information regarding the importance of Hg associations with the dissolved organic matter (DOM) fraction and metal hydroxides. Previous research indicated coagulants were not effective at removing Hg from solution; however these studies used high concentrations of Hg and did not reflect naturally occurring concentrations of Hg. In this study, water collected from an agricultural drain in the Sacramento-San Joaquin Delta was filtered to isolate the dissolved organic matter (DOM) fraction. The DOM was then treated with a range of coagulant doses to determine the efficacy of removing all forms of Hg from solution. Three industrial-grade coagulants were tested: ferric chloride, ferric sulfate, and polyaluminum chloride. Coagulation removed up to 85% of DOM from solution. In the absence of DOM, all three coagulants released IHg into solution, however in the presence of DOM the coagulants removed up to 97% of IHg and 80% of MeHg. Results suggest that the removal of Hg is mediated by DOM-coagulant interactions. There was a preferential association of IHg with the more aromatic, higher molecular weight fraction of DOM but no such relationship was found for MeHg. This study offers new fundamental insights regarding large-scale removal of Hg at environmentally relevant regarding large-scale removal of Hg at environmentally relevant concentrations.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2010.10.030","issn":"00489697","usgsCitation":"Henneberry, Y., Kraus, T., Fleck, J., Krabbenhoft, D.P., Bachand, P., and Horwath, W., 2011, Removal of inorganic mercury and methylmercury from surface waters following coagulation of dissolved organic matter with metal-based salts: Science of the Total Environment, v. 409, no. 3, p. 631-637, https://doi.org/10.1016/j.scitotenv.2010.10.030.","productDescription":"7 p.","startPage":"631","endPage":"637","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":242100,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"409","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aa72ce4b0c8380cd8527f","contributors":{"authors":[{"text":"Henneberry, Y.K.","contributorId":71402,"corporation":false,"usgs":true,"family":"Henneberry","given":"Y.K.","affiliations":[],"preferred":false,"id":442596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraus, T.E.C. 0000-0002-5187-8644","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":9758,"corporation":false,"usgs":true,"family":"Kraus","given":"T.E.C.","affiliations":[],"preferred":false,"id":442592,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fleck, J.A. 0000-0002-3217-3972","orcid":"https://orcid.org/0000-0002-3217-3972","contributorId":35864,"corporation":false,"usgs":true,"family":"Fleck","given":"J.A.","affiliations":[],"preferred":false,"id":442594,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":442597,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bachand, P.M.","contributorId":54805,"corporation":false,"usgs":true,"family":"Bachand","given":"P.M.","email":"","affiliations":[],"preferred":false,"id":442595,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Horwath, W.R.","contributorId":14652,"corporation":false,"usgs":true,"family":"Horwath","given":"W.R.","affiliations":[],"preferred":false,"id":442593,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034355,"text":"70034355 - 2011 - Precision of two methods for estimating age from burbot otoliths","interactions":[],"lastModifiedDate":"2013-03-04T14:25:25","indexId":"70034355","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Precision of two methods for estimating age from burbot otoliths","docAbstract":"Lower reproductive success and older age structure are associated with many burbot (Lota lota L.) populations that are declining or of conservation concern. Therefore, reliable methods for estimating the age of burbot are critical for effective assessment and management. In Lake Erie, burbot populations have declined in recent years due to the combined effects of an aging population (&xmacr; = 10 years in 2007) and extremely low recruitment since 2002. We examined otoliths from burbot (N = 91) collected in Lake Erie in 2007 and compared the estimates of burbot age by two agers, each using two established methods (cracked-and-burned and thin-section) of estimating ages from burbot otoliths. One ager was experienced at estimating age from otoliths, the other was a novice. Agreement (precision) between the two agers was higher for the thin-section method, particularly at ages 6–11 years, based on linear regression analyses and 95% confidence intervals. As expected, precision between the two methods was higher for the more experienced ager. Both agers reported that the thin sections offered clearer views of the annuli, particularly near the margins on otoliths from burbot ages ≥8. Slides for the thin sections required some costly equipment and more than 2 days to prepare. In contrast, preparing the cracked-and-burned samples was comparatively inexpensive and quick. We suggest use of the thin-section method for estimating the age structure of older burbot populations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ichthyology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1439-0426.2011.01842.x","issn":"01758659","usgsCitation":"Edwards, W., Stapanian, M., and Stoneman, A., 2011, Precision of two methods for estimating age from burbot otoliths: Journal of Applied Ichthyology, v. 27, no. S1, p. 43-48, https://doi.org/10.1111/j.1439-0426.2011.01842.x.","productDescription":"6 p.","startPage":"43","endPage":"48","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":487933,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1439-0426.2011.01842.x","text":"Publisher Index Page"},{"id":216798,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1439-0426.2011.01842.x"},{"id":244690,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"S1","noUsgsAuthors":false,"publicationDate":"2011-08-30","publicationStatus":"PW","scienceBaseUri":"505a8145e4b0c8380cd7b43b","contributors":{"authors":[{"text":"Edwards, W.H.","contributorId":43718,"corporation":false,"usgs":true,"family":"Edwards","given":"W.H.","affiliations":[],"preferred":false,"id":445385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stapanian, M.A.","contributorId":65437,"corporation":false,"usgs":true,"family":"Stapanian","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":445387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stoneman, A.T.","contributorId":50010,"corporation":false,"usgs":true,"family":"Stoneman","given":"A.T.","email":"","affiliations":[],"preferred":false,"id":445386,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034185,"text":"70034185 - 2011 - On the hydrologic adjustment of climate-model projections: The potential pitfall of potential evapotranspiration","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034185","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1421,"text":"Earth Interactions","active":true,"publicationSubtype":{"id":10}},"title":"On the hydrologic adjustment of climate-model projections: The potential pitfall of potential evapotranspiration","docAbstract":"Hydrologic models often are applied to adjust projections of hydroclimatic change that come from climate models. Such adjustment includes climate-bias correction, spatial refinement (\"downscaling\"), and consideration of the roles of hydrologic processes that were neglected in the climate model. Described herein is a quantitative analysis of the effects of hydrologic adjustment on the projections of runoff change associated with projected twenty-first-century climate change. In a case study including three climate models and 10 river basins in the contiguous United States, the authors find that relative (i.e., fractional or percentage) runoff change computed with hydrologic adjustment more often than not was less positive (or, equivalently, more negative) than what was projected by the climate models. The dominant contributor to this decrease in runoff was a ubiquitous change in runoff (median 211%) caused by the hydrologic model's apparent amplification of the climate-model-implied growth in potential evapotranspiration. Analysis suggests that the hydrologic model, on the basis of the empirical, temperature-based modified Jensen-Haise formula, calculates a change in potential evapotranspiration that is typically 3 times the change implied by the climate models, which explicitly track surface energy budgets. In comparison with the amplification of potential evapotranspiration, central tendencies of other contributions from hydrologic adjustment (spatial refinement, climate-bias adjustment, and process refinement) were relatively small. The authors' findings highlight the need for caution when projecting changes in potential evapotranspiration for use in hydrologic models or drought indices to evaluate climatechange impacts on water. Copyright ?? 2011, Paper 15-001; 35,952 words, 3 Figures, 0 Animations, 1 Tables.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth Interactions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1175/2010EI363.1","issn":"10873562","usgsCitation":"Milly, P., and Dunne, K., 2011, On the hydrologic adjustment of climate-model projections: The potential pitfall of potential evapotranspiration: Earth Interactions, v. 15, no. 1, p. 1-14, https://doi.org/10.1175/2010EI363.1.","startPage":"1","endPage":"14","numberOfPages":"14","costCenters":[],"links":[{"id":475419,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/2010ei363.1","text":"Publisher Index Page"},{"id":216664,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/2010EI363.1"},{"id":244548,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-01-14","publicationStatus":"PW","scienceBaseUri":"505a6dd5e4b0c8380cd7534d","contributors":{"authors":[{"text":"Milly, P. C. D.","contributorId":100489,"corporation":false,"usgs":true,"family":"Milly","given":"P. C. D.","affiliations":[],"preferred":false,"id":444496,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunne, K.A.","contributorId":18920,"corporation":false,"usgs":true,"family":"Dunne","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":444495,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032546,"text":"70032546 - 2011 - Nest success of snowy plovers (Charadrius nivosus) in the Southern high plains of Texas","interactions":[],"lastModifiedDate":"2012-03-12T17:21:21","indexId":"70032546","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Nest success of snowy plovers (Charadrius nivosus) in the Southern high plains of Texas","docAbstract":"Snowy Plovers (Charadrius nivosus) nesting on edges of saline lakes within the Southern High Plains (SHP) of Texas are threatened by habitat degradation due to reduced artesian spring flow, making many saline lakes unsuitable for nesting and migrating shorebirds. Factors influencing nest success were evaluated, current nest success estimates in the SHP of Texas were compared to estimates obtained ten years prior, and causes and timing of nest failures determined. Overall, 215 nests were monitored from three saline lakes in 20082009, with nest success estimates from Program MARK ranging from 7-33% ( x??= 22%). The leading causes of nest failures were attributed to predation (40%) and weather (36%). Nest success was negatively influenced by number of plants within 707-cm 2 plot, positively influenced by percent surface water availability, and at one saline lake, negatively influenced by day during the nesting season (i.e., nest success declined later in the nesting season). When compared to estimates ten years prior (19981999), mean nest success has declined by 31%. If nesting Snowy Plovers continue to experience increased predation rates, decreased hydrological integrity, and habitat alterations, populations will continue to decline throughout this region.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Waterbirds","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1675/063.034.0401","issn":"15244695","usgsCitation":"Saalfeld, S., Conway, W.C., Haukos, D., and Johnson, W., 2011, Nest success of snowy plovers (Charadrius nivosus) in the Southern high plains of Texas: Waterbirds, v. 34, no. 4, p. 389-399, https://doi.org/10.1675/063.034.0401.","startPage":"389","endPage":"399","numberOfPages":"11","costCenters":[],"links":[{"id":213666,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1675/063.034.0401"},{"id":241315,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6489e4b0c8380cd729fe","contributors":{"authors":[{"text":"Saalfeld, S.T.","contributorId":107108,"corporation":false,"usgs":true,"family":"Saalfeld","given":"S.T.","email":"","affiliations":[],"preferred":false,"id":436753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Warren C.","contributorId":51550,"corporation":false,"usgs":true,"family":"Conway","given":"Warren","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":436752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haukos, D.A.","contributorId":17188,"corporation":false,"usgs":true,"family":"Haukos","given":"D.A.","affiliations":[],"preferred":false,"id":436750,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, W.P.","contributorId":43315,"corporation":false,"usgs":true,"family":"Johnson","given":"W.P.","email":"","affiliations":[],"preferred":false,"id":436751,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034243,"text":"70034243 - 2011 - Ecoregional differences in late-20th-century land-use and land-cover change in the U.S. northern great plains","interactions":[],"lastModifiedDate":"2018-02-23T11:51:53","indexId":"70034243","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1859,"text":"Great Plains Research","active":true,"publicationSubtype":{"id":10}},"title":"Ecoregional differences in late-20th-century land-use and land-cover change in the U.S. northern great plains","docAbstract":"Land-cover and land-use change usually results from a combination of anthropogenic drivers and biophysical conditions found across multiple scales, ranging from parcel to regional levels. A group of four Level 111 ecoregions located in the U.S. northern Great Plains is used to demonstrate the similarities and differences in land change during nearly a 30-year period (1973-2000) using results from the U.S. Geological Survey's Land Cover Trends project. There were changes to major suites of land-cover; the transitions between agriculture and grassland/shrubland and the transitions among wetland, water, agriculture, and grassland/ shrubland were affected by different factors. Anthropogenic drivers affected the land-use tension (or land-use competition) between agriculture and grassland/shrubland land-covers, whereas changes between wetland and water land-covers, and their relationship to agriculture and grassland/shrubland land-covers, were mostly affected by regional weather cycles. More land-use tension between agriculture and grassland/shrubland landcovers occurred in ecoregions with greater amounts of economically marginal cropland. Land-cover change associated with weather variability occurred in ecoregions that had large concentrations of wetlands and water impoundments, such as the Missouri River reservoirs. The Northwestern Glaciated Plains ecoregion had the highest overall estimated percentage of change because it had both land-use tension between agriculture and grassland/shrubland land-covers and wetland-water changes.
","language":"English","issn":"10525165","usgsCitation":"Auch, R.F., Sayler, K., Napton, D., Taylor, J.L., and Brooks, M., 2011, Ecoregional differences in late-20th-century land-use and land-cover change in the U.S. northern great plains: Great Plains Research, v. 21, no. 2, p. 231-243.","productDescription":"13 p.","startPage":"231","endPage":"243","numberOfPages":"13","ipdsId":"IP-024428","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":244430,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0595e4b0c8380cd50e64","contributors":{"authors":[{"text":"Auch, Roger F. 0000-0002-5382-5044","orcid":"https://orcid.org/0000-0002-5382-5044","contributorId":90519,"corporation":false,"usgs":true,"family":"Auch","given":"Roger","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":444868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sayler, K. L. 0000-0003-2514-242X sayler@usgs.gov","orcid":"https://orcid.org/0000-0003-2514-242X","contributorId":88122,"corporation":false,"usgs":true,"family":"Sayler","given":"K. L.","email":"sayler@usgs.gov","affiliations":[],"preferred":false,"id":444867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Napton, D.E.","contributorId":23720,"corporation":false,"usgs":true,"family":"Napton","given":"D.E.","affiliations":[],"preferred":false,"id":444864,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Janis L. 0000-0002-9418-5215 jltaylor@usgs.gov","orcid":"https://orcid.org/0000-0002-9418-5215","contributorId":147371,"corporation":false,"usgs":true,"family":"Taylor","given":"Janis","email":"jltaylor@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":444866,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brooks, M.S.","contributorId":28830,"corporation":false,"usgs":true,"family":"Brooks","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":444865,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032452,"text":"70032452 - 2011 - Ratios of total suspended solids to suspended sediment concentrations by particle size","interactions":[],"lastModifiedDate":"2012-03-12T17:21:21","indexId":"70032452","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2255,"text":"Journal of Environmental Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Ratios of total suspended solids to suspended sediment concentrations by particle size","docAbstract":"Wet-sieving sand-sized particles from a whole storm-water sample before splitting the sample into laboratory-prepared containers can reduce bias and improve the precision of suspended-sediment concentrations (SSC). Wet-sieving, however, may alter concentrations of total suspended solids (TSS) because the analytical method used to determine TSS may not have included the sediment retained on the sieves. Measuring TSS is still commonly used by environmental managers as a regulatory metric for solids in storm water. For this reason, a new method of correlating concentrations of TSS and SSC by particle size was used to develop a series of correction factors for SSC as a means to estimate TSS. In general, differences between TSS and SSC increased with greater particle size and higher sand content. Median correction factors to SSC ranged from 0.29 for particles larger than 500m to 0.85 for particles measuring from 32 to 63m. Great variability was observed in each fraction-a result of varying amounts of organic matter in the samples. Wide variability in organic content could reduce the transferability of the correction factors. ?? 2011 American Society of Civil Engineers.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1061/(ASCE)EE.1943-7870.0000414","issn":"07339372","usgsCitation":"Selbig, W., and Bannerman, R., 2011, Ratios of total suspended solids to suspended sediment concentrations by particle size: Journal of Environmental Engineering, v. 137, no. 11, p. 1075-1081, https://doi.org/10.1061/(ASCE)EE.1943-7870.0000414.","startPage":"1075","endPage":"1081","numberOfPages":"7","costCenters":[],"links":[{"id":213785,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)EE.1943-7870.0000414"},{"id":241443,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"137","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a9553e4b0c8380cd8194d","contributors":{"authors":[{"text":"Selbig, W.R.","contributorId":102106,"corporation":false,"usgs":true,"family":"Selbig","given":"W.R.","email":"","affiliations":[],"preferred":false,"id":436246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bannerman, R.T.","contributorId":92304,"corporation":false,"usgs":false,"family":"Bannerman","given":"R.T.","email":"","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":436245,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70033882,"text":"70033882 - 2011 - Persistent effects of wildfire and debris flows on the invertebrate prey base of rainbow trout in Idaho streams","interactions":[],"lastModifiedDate":"2017-11-20T12:23:21","indexId":"70033882","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Persistent effects of wildfire and debris flows on the invertebrate prey base of rainbow trout in Idaho streams","docAbstract":"Wildfire and debris flows are important physical and ecological drivers in headwater streams of western North America. Past research has primarily examined short-term effects of these disturbances; less is known about longer-term impacts. We investigated wildfire effects on the invertebrate prey base for drift-feeding rainbow trout (Oncorhynchus mykiss, Walbaum) in Idaho headwater streams a decade after wildfire. Three stream types with different disturbance histories were examined: 1) unburned, 2) burned, and 3) burned followed by debris flows that reset channel morphology and riparian vegetation. The quantity of macroinvertebrate drift (biomass density) was more variable within than among disturbance categories. Average body weight and taxonomic richness of drift were significantly related to water temperature and influenced by disturbance history. During the autumn sampling period, the amount of terrestrial insects in rainbow trout diets varied with disturbance history and the amount of overhead canopy along the stream banks. Results indicate that there are detectable changes to macroinvertebrate drift and trout diet a decade after wildfire, and that these responses are better correlated with specific characteristics of the stream (water temperature, canopy cover) than with broad disturbance classes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Northwest Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.3955/046.085.0105","issn":"0029344X","usgsCitation":"Rosenberger, A., Dunham, J., Buffington, J., and Wipfli, M., 2011, Persistent effects of wildfire and debris flows on the invertebrate prey base of rainbow trout in Idaho streams: Northwest Science, v. 85, no. 1, p. 55-63, https://doi.org/10.3955/046.085.0105.","startPage":"55","endPage":"63","numberOfPages":"9","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":241809,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214117,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3955/046.085.0105"}],"volume":"85","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a76f5e4b0c8380cd783b6","contributors":{"authors":[{"text":"Rosenberger, A.E.","contributorId":98526,"corporation":false,"usgs":true,"family":"Rosenberger","given":"A.E.","email":"","affiliations":[],"preferred":false,"id":443000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, J. B. 0000-0002-6268-0633","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":96637,"corporation":false,"usgs":true,"family":"Dunham","given":"J. B.","affiliations":[],"preferred":false,"id":442999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buffington, J.M.","contributorId":99677,"corporation":false,"usgs":true,"family":"Buffington","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":443001,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wipfli, M.S.","contributorId":51963,"corporation":false,"usgs":true,"family":"Wipfli","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":442998,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70173543,"text":"70173543 - 2011 - Characterization of winter foraging locations of Adélie penguins along the Western Antarctic Peninsula, 2001–2002","interactions":[],"lastModifiedDate":"2016-06-14T15:14:11","indexId":"70173543","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1371,"text":"Deep-Sea Research Part II: Topical Studies in Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of winter foraging locations of Adélie penguins along the Western Antarctic Peninsula, 2001–2002","docAbstract":"In accord with the hypotheses driving the Southern Ocean Global Ocean Ecosystems Dynamics (SO GLOBEC) program, we tested the hypothesis that the winter foraging ecology of a major top predator in waters off the Western Antarctic Peninsula (WAP), the Adélie penguin (Pygoscelis adeliae), is constrained by oceanographic features related to the physiography of the region. This hypothesis grew from the supposition that breeding colonies in the WAP during summer are located adjacent to areas of complex bathymetry where circulation and upwelling processes appear to ensure predictable food resources. Therefore, we tested the additional hypothesis that these areas continue to contribute to the foraging strategy of this species throughout the non-breeding winter season. We used satellite telemetry data collected as part of the SO GLOBEC program during the austral winters of 2001 and 2002 to characterize individual penguin foraging locations in relation to bathymetry, sea ice variability within the pack ice, and wind velocity and divergence (as a proxy for potential areas with cracks and leads). We also explored differences between males and females in core foraging area overlap. Ocean depth was the most influential variable in the determination of foraging location, with most birds focusing their effort on shallow (<200 m) waters near land and on mixed-layer (200–500 m) waters near the edge of deep troughs. Within-ice variability and wind (as a proxy for potential areas with cracks and leads) were not found to be influential variables, which is likely because of the low resolution satellite imagery and model outputs that were available. Throughout the study period, all individuals maintained a core foraging area separated from other individuals with very little overlap. However, from a year with light sea ice to one with heavy ice cover (2001–2002), we observed an increase in the overlap of individual female foraging areas with those of other birds, likely due to restricted access to the water column, reduced prey abundance, or higher prey concentration. Male birds maintained separate core foraging areas with the same small amount of overlap, showing no difference in overlap between the years. While complex bathymetry was an important physical variable influencing the Adélie penguin's foraging, the analysis of sea ice data of a higher resolution than was available for this study may help elucidate the role of sea ice in affecting Adélie penguin winter foraging behavior within the pack ice.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr2.2010.10.054","usgsCitation":"Erdmann, E.S., Ribic, C., Patterson-Fraser, D.L., and Fraser, W., 2011, Characterization of winter foraging locations of Adélie penguins along the Western Antarctic Peninsula, 2001–2002: Deep-Sea Research Part II: Topical Studies in Oceanography, v. 58, no. 13-16, p. 1710-1718, https://doi.org/10.1016/j.dsr2.2010.10.054.","productDescription":"9 p.","startPage":"1710","endPage":"1718","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-013811","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323602,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.73828125,\n -74.86788912917916\n ],\n [\n -81.73828125,\n -62.34960927573042\n ],\n [\n -55.72265625,\n -62.34960927573042\n ],\n [\n -55.72265625,\n -74.86788912917916\n ],\n [\n -81.73828125,\n -74.86788912917916\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"58","issue":"13-16","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57612aaee4b04f417c2ce48a","contributors":{"authors":[{"text":"Erdmann, Eric S.","contributorId":97743,"corporation":false,"usgs":true,"family":"Erdmann","given":"Eric","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":638763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patterson-Fraser, Donna L.","contributorId":84726,"corporation":false,"usgs":true,"family":"Patterson-Fraser","given":"Donna","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":638764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fraser, William R.","contributorId":94277,"corporation":false,"usgs":true,"family":"Fraser","given":"William R.","affiliations":[],"preferred":false,"id":638765,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70190330,"text":"70190330 - 2011 - Elevated gas hydrate saturation within silt and silty clay sediments in the Shenhu area, South China Sea","interactions":[],"lastModifiedDate":"2017-08-27T10:26:24","indexId":"70190330","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Elevated gas hydrate saturation within silt and silty clay sediments in the Shenhu area, South China Sea","docAbstract":"Gas hydrate saturations were estimated using five different methods in silt and silty clay foraminiferous sediments from drill hole SH2 in the South China Sea. Gas hydrate saturations derived from observed pore water chloride values in core samples range from 10 to 45% of the pore space at 190–221 m below seafloor (mbsf). Gas hydrate saturations estimated from resistivity (Rt) using wireline logging results are similar and range from 10 to 40.5% in the pore space. Gas hydrate saturations were also estimated by P wave velocity obtained during wireline logging by using a simplified three-phase equation (STPE) and effective medium theory (EMT) models. Gas hydrate saturations obtained from the STPE velocity model (41.0% maximum) are slightly higher than those calculated with the EMT velocity model (38.5% maximum). Methane analysis from a 69 cm long depressurized core from the hydrate-bearing sediment zone indicates that gas hydrate saturation is about 27.08% of the pore space at 197.5 mbsf. Results from the five methods show similar values and nearly identical trends in gas hydrate saturations above the base of the gas hydrate stability zone at depths of 190 to 221 mbsf. Gas hydrate occurs within units of clayey slit and silt containing abundant calcareous nannofossils and foraminifer, which increase the porosities of the fine-grained sediments and provide space for enhanced gas hydrate formation. In addition, gas chimneys, faults, and fractures identified from three-dimensional (3-D) and high-resolution two-dimensional (2-D) seismic data provide pathways for fluids migrating into the gas hydrate stability zone which transport methane for the formation of gas hydrate. Sedimentation and local canyon migration may contribute to higher gas hydrate saturations near the base of the stability zone.
","language":"English","publisher":"Journal of Geophysical Research","doi":"10.1029/2010JB007944","usgsCitation":"Wang, X., Hutchinson, D.R., Wu, S., Yang, S., and Guo, Y., 2011, Elevated gas hydrate saturation within silt and silty clay sediments in the Shenhu area, South China Sea: Journal of Geophysical Research B: Solid Earth, v. 116, no. B5, Article B05102; 18 p., https://doi.org/10.1029/2010JB007944.","productDescription":"Article B05102; 18 p.","ipdsId":"IP-022714","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":475432,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010jb007944","text":"Publisher Index Page"},{"id":345173,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"South China Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 105,\n 15\n ],\n [\n 121,\n 15\n ],\n [\n 121,\n 24\n ],\n [\n 105,\n 24\n ],\n [\n 105,\n 15\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"116","issue":"B5","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2011-05-25","publicationStatus":"PW","scienceBaseUri":"59a3da31e4b077f005673227","contributors":{"authors":[{"text":"Wang, Xiujuan","contributorId":195861,"corporation":false,"usgs":false,"family":"Wang","given":"Xiujuan","affiliations":[{"id":34424,"text":"Chinese Academy of Sciences, Qingdao, China","active":true,"usgs":false}],"preferred":false,"id":708559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hutchinson, Deborah R. 0000-0002-2544-5466 dhutchinson@usgs.gov","orcid":"https://orcid.org/0000-0002-2544-5466","contributorId":521,"corporation":false,"usgs":true,"family":"Hutchinson","given":"Deborah","email":"dhutchinson@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":708560,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wu, Shiguo","contributorId":195862,"corporation":false,"usgs":false,"family":"Wu","given":"Shiguo","affiliations":[{"id":34424,"text":"Chinese Academy of Sciences, Qingdao, China","active":true,"usgs":false}],"preferred":false,"id":708561,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yang, Shengxiong","contributorId":195863,"corporation":false,"usgs":false,"family":"Yang","given":"Shengxiong","email":"","affiliations":[{"id":34423,"text":"Guangzhou Marine Geological Survey, Guangzhou, China","active":true,"usgs":false}],"preferred":false,"id":708562,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guo, Yiqun","contributorId":68659,"corporation":false,"usgs":false,"family":"Guo","given":"Yiqun","affiliations":[{"id":34423,"text":"Guangzhou Marine Geological Survey, Guangzhou, China","active":true,"usgs":false}],"preferred":false,"id":708563,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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