{"pageNumber":"188","pageRowStart":"4675","pageSize":"25","recordCount":16460,"records":[{"id":70034725,"text":"70034725 - 2011 - Global patterns of phytoplankton dynamics in coastal ecosystems","interactions":[],"lastModifiedDate":"2020-01-11T11:57:23","indexId":"70034725","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Global patterns of phytoplankton dynamics in coastal ecosystems","docAbstract":"Scientific Committee on Ocean Research Working Group 137 Meeting; Hangzhou, China, 17-21 October 2010; Phytoplankton biomass and community structure have undergone dramatic changes in coastal ecosystems over the past several decades in response to climate variability and human disturbance. These changes have short- and long-term impacts on global carbon and nutrient cycling, food web structure and productivity, and coastal ecosystem services. There is a need to identify the underlying processes and measure the rates at which they alter coastal ecosystems on a global scale. Hence, the Scientific Committee on Ocean Research (SCOR) formed Working Group 137 (WG 137), \"Global Patterns of Phytoplankton Dynamics in Coastal Ecosystems: A Comparative Analysis of Time Series Observations\" (http://wg137.net/). This group evolved from a 2007 AGU-sponsored Chapman Conference entitled \"Long Time-Series Observations in Coastal Ecosystems: Comparative Analyses of Phytoplankton Dynamics on Regional to Global Scales.\".","largerWorkTitle":"Eos","language":"English","doi":"10.1029/2011EO100007","issn":"00963941","usgsCitation":"Paerl, H., Yin, K., Cloern, J., and Cloern, J.E., 2011, Global patterns of phytoplankton dynamics in coastal ecosystems, <i>in</i> Eos, v. 92, no. 10, p. 85-85, https://doi.org/10.1029/2011EO100007.","productDescription":"1 p.","startPage":"85","endPage":"85","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":487835,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011eo100007","text":"Publisher Index Page"},{"id":243450,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92","issue":"10","noUsgsAuthors":false,"publicationDate":"2011-03-08","publicationStatus":"PW","scienceBaseUri":"505a2954e4b0c8380cd5a876","contributors":{"authors":[{"text":"Paerl, H.","contributorId":101478,"corporation":false,"usgs":true,"family":"Paerl","given":"H.","email":"","affiliations":[],"preferred":false,"id":447219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yin, Kedong","contributorId":94879,"corporation":false,"usgs":true,"family":"Yin","given":"Kedong","email":"","affiliations":[],"preferred":false,"id":447218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cloern, J.","contributorId":51567,"corporation":false,"usgs":true,"family":"Cloern","given":"J.","affiliations":[],"preferred":false,"id":447217,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cloern, James E. 0000-0002-5880-6862 jecloern@usgs.gov","orcid":"https://orcid.org/0000-0002-5880-6862","contributorId":1488,"corporation":false,"usgs":true,"family":"Cloern","given":"James","email":"jecloern@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":779346,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034662,"text":"70034662 - 2011 - A distribution-based parameterization for improved tomographic imaging of solute plumes","interactions":[],"lastModifiedDate":"2020-01-11T10:07:06","indexId":"70034662","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"A distribution-based parameterization for improved tomographic imaging of solute plumes","docAbstract":"<p><span>Difference geophysical tomography (e.g. radar, resistivity and seismic) is used increasingly for imaging fluid flow and mass transport associated with natural and engineered hydrologic phenomena, including tracer experiments,&nbsp;</span><i>in situ</i><span>&nbsp;remediation and aquifer storage and recovery. Tomographic data are collected over time, inverted and differenced against a background image to produce ‘snapshots’ revealing changes to the system; these snapshots readily provide qualitative information on the location and morphology of plumes of injected tracer, remedial amendment or stored water. In principle, geometric moments (i.e. total mass, centres of mass, spread, etc.) calculated from difference tomograms can provide further quantitative insight into the rates of advection, dispersion and mass transfer; however, recent work has shown that moments calculated from tomograms are commonly biased, as they are strongly affected by the subjective choice of regularization criteria. Conventional approaches to regularization (Tikhonov) and parametrization (image pixels) result in tomograms which are subject to artefacts such as smearing or pixel estimates taking on the sign opposite to that expected for the plume under study. Here, we demonstrate a novel parametrization for imaging plumes associated with hydrologic phenomena. Capitalizing on the mathematical analogy between moment-based descriptors of plumes and the moment-based parameters of probability distributions, we design an inverse problem that (1) is overdetermined and computationally efficient because the image is described by only a few parameters, (2) produces tomograms consistent with expected plume behaviour (e.g. changes of one sign relative to the background image), (3) yields parameter estimates that are readily interpreted for plume morphology and offer direct insight into hydrologic processes and (4) requires comparatively few data to achieve reasonable model estimates. We demonstrate the approach in a series of numerical examples based on straight-ray difference-attenuation radar monitoring of the transport of an ionic tracer, and show that the methodology outlined here is particularly effective when limited data are available.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1111/j.1365-246X.2011.05131.x","issn":"0956540X","usgsCitation":"Pidlisecky, A., Singha, K., and Day-Lewis, F., 2011, A distribution-based parameterization for improved tomographic imaging of solute plumes: Geophysical Journal International, v. 187, no. 1, p. 214-224, https://doi.org/10.1111/j.1365-246X.2011.05131.x.","productDescription":"11 p.","startPage":"214","endPage":"224","numberOfPages":"11","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":475438,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-246x.2011.05131.x","text":"Publisher Index Page"},{"id":243480,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"187","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-08-19","publicationStatus":"PW","scienceBaseUri":"5059e3c3e4b0c8380cd461ec","contributors":{"authors":[{"text":"Pidlisecky, Adam","contributorId":94877,"corporation":false,"usgs":true,"family":"Pidlisecky","given":"Adam","email":"","affiliations":[],"preferred":false,"id":446926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Singha, K.","contributorId":51431,"corporation":false,"usgs":true,"family":"Singha","given":"K.","affiliations":[],"preferred":false,"id":446925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, F. D. 0000-0003-3526-886X","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":35773,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"F. D.","affiliations":[],"preferred":false,"id":446924,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034657,"text":"70034657 - 2011 - Metallothionein-like multinuclear clusters of mercury(II) and sulfur in peat","interactions":[],"lastModifiedDate":"2021-11-09T17:39:19.398815","indexId":"70034657","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":"Metallothionein-like multinuclear clusters of mercury(II) and sulfur in peat","docAbstract":"<div class=\"article_abstract\"><div class=\"container container_scaled-down\"><div class=\"row\"><div class=\"col-xs-12\"><div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Strong mercury(II)–sulfur (Hg-SR) bonds in natural organic matter, which influence mercury bioavailability, are difficult to characterize. We report evidence for two new Hg-SR structures using X-ray absorption spectroscopy in peats from the Florida Everglades with added Hg. The first, observed at a mole ratio of organic reduced S to Hg (S<sub>red</sub>/Hg) between 220 and 1140, is a Hg<sub>4</sub>S<sub><i>x</i></sub><span>&nbsp;</span>type of cluster with each Hg atom bonded to two S atoms at 2.34 Å and one S at 2.53 Å, and all Hg atoms 4.12 Å apart. This model structure matches those of metal–thiolate clusters in metallothioneins, but not those of HgS minerals. The second, with one S atom at 2.34 Å and about six C atoms at 2.97 to 3.28 Å, occurred at S<sub>red</sub>/Hg between 0.80 and 4.3 and suggests Hg binding to a thiolated aromatic unit. The multinuclear Hg cluster indicates a strong binding environment to cysteinyl sulfur that might impede methylation. Along with a linear Hg(SR)<sub>2</sub><span>&nbsp;</span>unit with Hg—S bond lengths of 2.34 Å at S<sub>red</sub>/Hg of about 10 to 20, the new structures support a continuum in Hg-SR binding strength in natural organic matter.</p></div></div></div></div></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/es201025v","issn":"0013936X","usgsCitation":"Nagy, K.L., Manceau, A., Gasper, J.D., Ryan, J.N., and Aiken, G., 2011, Metallothionein-like multinuclear clusters of mercury(II) and sulfur in peat: Environmental Science & Technology, v. 45, no. 17, p. 7298-7306, https://doi.org/10.1021/es201025v.","productDescription":"9 p.","startPage":"7298","endPage":"7306","numberOfPages":"9","ipdsId":"IP-028777","costCenters":[{"id":381,"text":"Mercury Research Laboratory","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":243380,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"17","noUsgsAuthors":false,"publicationDate":"2011-08-02","publicationStatus":"PW","scienceBaseUri":"505a54f1e4b0c8380cd6d0a1","contributors":{"authors":[{"text":"Nagy, K. L.","contributorId":56408,"corporation":false,"usgs":true,"family":"Nagy","given":"K.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":446891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manceau, A.","contributorId":80507,"corporation":false,"usgs":true,"family":"Manceau","given":"A.","affiliations":[],"preferred":false,"id":446893,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gasper, J. D.","contributorId":58837,"corporation":false,"usgs":true,"family":"Gasper","given":"J.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":446892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ryan, J. N.","contributorId":102649,"corporation":false,"usgs":true,"family":"Ryan","given":"J.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":446894,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aiken, G. R. 0000-0001-8454-0984","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":14452,"corporation":false,"usgs":true,"family":"Aiken","given":"G. R.","affiliations":[],"preferred":false,"id":446890,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034633,"text":"70034633 - 2011 - Sources and Delivery of Nutrients to the Northwestern Gulf of Mexico from Streams in the South-Central United States","interactions":[],"lastModifiedDate":"2021-04-14T17:22:26.259382","indexId":"70034633","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":"Sources and Delivery of Nutrients to the Northwestern Gulf of Mexico from Streams in the South-Central United States","docAbstract":"<p><span>SPAtially Referenced Regressions On Watershed attributes (SPARROW) models were developed to estimate nutrient inputs [total nitrogen (TN) and total phosphorus (TP)] to the northwestern part of the Gulf of Mexico from streams in the South‐Central United States (U.S.). This area included drainages of the Lower Mississippi, Arkansas‐White‐Red, and Texas‐Gulf hydrologic regions. The models were standardized to reflect nutrient sources and stream conditions during 2002. Model predictions of nutrient loads (mass per time) and yields (mass per area per time) generally were greatest in streams in the eastern part of the region and along reaches near the Texas and Louisiana shoreline. The Mississippi River and Atchafalaya River watersheds, which drain nearly two‐thirds of the conterminous U.S., delivered the largest nutrient loads to the Gulf of Mexico, as expected. However, the three largest delivered TN yields were from the Trinity River/Galveston Bay, Calcasieu River, and Aransas River watersheds, while the three largest delivered TP yields were from the Calcasieu River, Mermentau River, and Trinity River/Galveston Bay watersheds. Model output indicated that the three largest sources of nitrogen from the region were atmospheric deposition (42%), commercial fertilizer (20%), and livestock manure (unconfined, 17%). The three largest sources of phosphorus were commercial fertilizer (28%), urban runoff (23%), and livestock manure (confined and unconfined, 23%).</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1752-1688.2011.00583.x","issn":"1093474X","usgsCitation":"Rebich, R.A., Houston, N.A., Mize, S.V., Pearson, D., Ging, P.B., and Evan, H.C., 2011, Sources and Delivery of Nutrients to the Northwestern Gulf of Mexico from Streams in the South-Central United States: Journal of the American Water Resources Association, v. 47, no. 5, p. 1061-1086, https://doi.org/10.1111/j.1752-1688.2011.00583.x.","productDescription":"26 p.","startPage":"1061","endPage":"1086","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":475372,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1752-1688.2011.00583.x","text":"Publisher Index Page"},{"id":243543,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215721,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2011.00583.x"}],"country":"United States","state":"Texas, Oklahoma, Arkansas, Louisiana, Missouri, Kansas, Mississippi, Colorado, Missouri, Tennessee","otherGeospatial":"South-Central United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.0078125,\n              32.175612478499325\n            ],\n            [\n              -101.337890625,\n              30.751277776257812\n            ],\n            [\n              -99.49218749999999,\n              30.221101852485987\n            ],\n            [\n          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0000-0001-6751-5568 svmize@usgs.gov","orcid":"https://orcid.org/0000-0001-6751-5568","contributorId":2997,"corporation":false,"usgs":true,"family":"Mize","given":"Scott","email":"svmize@usgs.gov","middleInitial":"V.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":446778,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearson, Daniel 0000-0001-7808-8311 dpearson@usgs.gov","orcid":"https://orcid.org/0000-0001-7808-8311","contributorId":201255,"corporation":false,"usgs":true,"family":"Pearson","given":"Daniel","email":"dpearson@usgs.gov","affiliations":[],"preferred":true,"id":446775,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ging, Patricia B. 0000-0001-5491-8448 pbging@usgs.gov","orcid":"https://orcid.org/0000-0001-5491-8448","contributorId":1788,"corporation":false,"usgs":true,"family":"Ging","given":"Patricia","email":"pbging@usgs.gov","middleInitial":"B.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":446776,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Evan, Hornig C.","contributorId":60465,"corporation":false,"usgs":true,"family":"Evan","given":"Hornig","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":446777,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034618,"text":"70034618 - 2011 - From deposition to erosion: Spatial and temporal variability of sediment sources, storage, and transport in a small agricultural watershed","interactions":[],"lastModifiedDate":"2017-10-30T12:54:01","indexId":"70034618","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"From deposition to erosion: Spatial and temporal variability of sediment sources, storage, and transport in a small agricultural watershed","docAbstract":"The spatial and temporal variability of sediment sources, storage, and transport were investigated in a small agricultural watershed draining the Coast Ranges and Sacramento Valley in central California. Results of field, laboratory, and historical data analysis in the Willow Slough fluvial system document changes that transformed a transport-limited depositional system to an effective erosion and transport system, despite a large sediment supply. These changes were caused by a combination of factors: (i) an increase in transport capacity, and (ii) hydrologic alteration. Alteration of the riparian zone and drainage network pattern during the past ~ 150 years included a twofold increase in straightened channel segments along with a baselevel change from excavation that increased slope, and increased sediment transport capacity by ~ 7%. Hydrologic alteration from irrigation water contributions also increased transport capacity, by extending the period with potential for sediment transport and erosion by ~ 6 months/year. Field measurements document Quaternary Alluvium as a modern source of fine sediment with grain size distributions characterized by 5 to 40% fine material. About 60% of an upland and 30% of a lowland study reach incised into this deposit exhibit bank erosion. During this study, the wet 2006 and relatively dry 2007 water years exhibited a range of total annual suspended sediment load spanning two orders of magnitude: ~ 108,500 kg/km<sup>2</sup>/year during 2006 and 5,950 kg/km<sup>2</sup>/year during 2007, only 5% of that during the previous year. Regional implications of this work are illustrated by the potential for a small tributary such as Willow Slough to contribute sediment – whereas large dams limit sediment supply from larger tributaries – to the Sacramento River and San Francisco Bay Delta and Estuary. This work is relevant to lowland agricultural river–floodplain systems globally in efforts to restore aquatic and riparian functions and where water quality management includes reducing fine sediment contributions that can couple with other pollutants.","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2011.04.037","issn":"0169555X","usgsCitation":"Florsheim, J., Pellerin, B., Oh, N., Ohara, N., Bachand, P., Bachand, S., Bergamaschi, B., Hernes, P., and Kavvas, M., 2011, From deposition to erosion: Spatial and temporal variability of sediment sources, storage, and transport in a small agricultural watershed: Geomorphology, v. 132, no. 3-4, p. 272-286, https://doi.org/10.1016/j.geomorph.2011.04.037.","productDescription":"15 p.","startPage":"272","endPage":"286","ipdsId":"IP-027109","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":243817,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.0 ], [ -114.13,42.0 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"132","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a13f8e4b0c8380cd5484e","contributors":{"authors":[{"text":"Florsheim, J.L.","contributorId":101876,"corporation":false,"usgs":true,"family":"Florsheim","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":446694,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pellerin, B.A.","contributorId":81233,"corporation":false,"usgs":true,"family":"Pellerin","given":"B.A.","email":"","affiliations":[],"preferred":false,"id":446692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oh, N.H.","contributorId":22987,"corporation":false,"usgs":true,"family":"Oh","given":"N.H.","email":"","affiliations":[],"preferred":false,"id":446688,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ohara, N.","contributorId":60045,"corporation":false,"usgs":true,"family":"Ohara","given":"N.","email":"","affiliations":[],"preferred":false,"id":446690,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bachand, P.A.M.","contributorId":9857,"corporation":false,"usgs":true,"family":"Bachand","given":"P.A.M.","email":"","affiliations":[],"preferred":false,"id":446686,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bachand, Sandra M.","contributorId":45542,"corporation":false,"usgs":false,"family":"Bachand","given":"Sandra M.","affiliations":[{"id":12526,"text":"Bachand & Associates","active":true,"usgs":false}],"preferred":false,"id":446689,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bergamaschi, B.A. 0000-0002-9610-5581","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":22401,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"B.A.","affiliations":[],"preferred":false,"id":446687,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hernes, P.J.","contributorId":89651,"corporation":false,"usgs":true,"family":"Hernes","given":"P.J.","affiliations":[],"preferred":false,"id":446693,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kavvas, M.L.","contributorId":63642,"corporation":false,"usgs":true,"family":"Kavvas","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":446691,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70034589,"text":"70034589 - 2011 - MercNet: A national monitoring network to assess responses to changing mercury emissions in the United States","interactions":[],"lastModifiedDate":"2020-01-11T11:07:19","indexId":"70034589","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"MercNet: A national monitoring network to assess responses to changing mercury emissions in the United States","docAbstract":"<p>A partnership of federal and state agencies, tribes, industry, and scientists from academic research and environmental organizations is establishing a national, policy-relevant mercury monitoring network, called MercNet, to address key questions concerning changes in anthropogenic mercury emissions and deposition, associated linkages to ecosystem effects, and recovery from mercury contamination. This network would quantify mercury in the atmosphere, land, water, and biota in terrestrial, freshwater, and coastal ecosystems to provide a national scientific capability for evaluating the benefits and effectiveness of emission controls. Program development began with two workshops, convened to establish network goals, to select key indicators for monitoring, to propose a geographic network of monitoring sites, and to design a monitoring plan. MercNet relies strongly on multi-institutional partnerships to secure the capabilities and comprehensive data that are needed to develop, calibrate, and refine predictive mercury models and to guide effective management. Ongoing collaborative efforts include the: (1) development of regional multi-media databases on mercury in the Laurentian Great Lakes, northeastern United States, and eastern Canada; (2) syntheses and reporting of these data for the scientific and policy communities; and (3) evaluation of potential monitoring sites. The MercNet approach could be applied to the development of other monitoring programs, such as emerging efforts to monitor and assess global mercury emission controls.&nbsp;</p>","language":"English","publisher":"Elsevier","doi":"10.1007/s10646-011-0756-4","issn":"09639292","usgsCitation":"Schmeltz, D., Evers, D., Driscoll, C.T., Artz, R., Cohen, M., Gay, D., Haeuber, R., Krabbenhoft, D., Mason, R., Morris, K., and Wiener, J., 2011, MercNet: A national monitoring network to assess responses to changing mercury emissions in the United States: Ecotoxicology, v. 20, no. 7, p. 1713-1725, https://doi.org/10.1007/s10646-011-0756-4.","productDescription":"13 p.","startPage":"1713","endPage":"1725","numberOfPages":"13","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":243846,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-09-08","publicationStatus":"PW","scienceBaseUri":"505a53c1e4b0c8380cd6ccc1","contributors":{"authors":[{"text":"Schmeltz, D.","contributorId":14662,"corporation":false,"usgs":true,"family":"Schmeltz","given":"D.","email":"","affiliations":[],"preferred":false,"id":446531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evers, D.C.","contributorId":36501,"corporation":false,"usgs":true,"family":"Evers","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":446533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Driscoll, C. T.","contributorId":47530,"corporation":false,"usgs":false,"family":"Driscoll","given":"C.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":446536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Artz, R.","contributorId":16242,"corporation":false,"usgs":true,"family":"Artz","given":"R.","affiliations":[],"preferred":false,"id":446532,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cohen, M.","contributorId":92886,"corporation":false,"usgs":true,"family":"Cohen","given":"M.","email":"","affiliations":[],"preferred":false,"id":446539,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gay, D.","contributorId":10635,"corporation":false,"usgs":true,"family":"Gay","given":"D.","affiliations":[],"preferred":false,"id":446529,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haeuber, R.","contributorId":52528,"corporation":false,"usgs":true,"family":"Haeuber","given":"R.","affiliations":[],"preferred":false,"id":446537,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Krabbenhoft, D. P. 0000-0003-1964-5020","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":90765,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"D. P.","affiliations":[],"preferred":false,"id":446538,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mason, R.","contributorId":11439,"corporation":false,"usgs":true,"family":"Mason","given":"R.","affiliations":[],"preferred":false,"id":446530,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Morris, K.","contributorId":38805,"corporation":false,"usgs":true,"family":"Morris","given":"K.","email":"","affiliations":[],"preferred":false,"id":446534,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wiener, J.G.","contributorId":44107,"corporation":false,"usgs":true,"family":"Wiener","given":"J.G.","email":"","affiliations":[],"preferred":false,"id":446535,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70034584,"text":"70034584 - 2011 - Projected evolution of California's San Francisco bay-delta-river system in a century of climate change","interactions":[],"lastModifiedDate":"2020-01-11T12:15:17","indexId":"70034584","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Projected evolution of California's San Francisco bay-delta-river system in a century of climate change","docAbstract":"Background: Accumulating evidence shows that the planet is warming as a response to human emissions of greenhouse gases. Strategies of adaptation to climate change will require quantitative projections of how altered regional patterns of temperature, precipitation and sea level could cascade to provoke local impacts such as modified water supplies, increasing risks of coastal flooding, and growing challenges to sustainability of native species. Methodology/Principal Findings: We linked a series of models to investigate responses of California's San Francisco Estuary-Watershed (SFEW) system to two contrasting scenarios of climate change. Model outputs for scenarios of fast and moderate warming are presented as 2010-2099 projections of nine indicators of changing climate, hydrology and habitat quality. Trends of these indicators measure rates of: increasing air and water temperatures, salinity and sea level; decreasing precipitation, runoff, snowmelt contribution to runoff, and suspended sediment concentrations; and increasing frequency of extreme environmental conditions such as water temperatures and sea level beyond the ranges of historical observations. Conclusions/Significance: Most of these environmental indicators change substantially over the 21st century, and many would present challenges to natural and managed systems. Adaptations to these changes will require flexible planning to cope with growing risks to humans and the challenges of meeting demands for fresh water and sustaining native biota. Programs of ecosystem rehabilitation and biodiversity conservation in coastal landscapes will be most likely to meet their objectives if they are designed from considerations that include: (1) an integrated perspective that river-estuary systems are influenced by effects of climate change operating on both watersheds and oceans; (2) varying sensitivity among environmental indicators to the uncertainty of future climates; (3) inevitability of biological community changes as responses to cumulative effects of climate change and other drivers of habitat transformations; and (4) anticipation and adaptation to the growing probability of ecosystem regime shifts.","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0024465","issn":"19326203","usgsCitation":"Cloern, J.E., Knowles, N., Brown, L.R., Cayan, D.R., Dettinger, M., Morgan, T., Schoellhamer, D., Stacey, M., Van der Wegen, M., Wagner, R., and Jassby, A.D., 2011, Projected evolution of California's San Francisco bay-delta-river system in a century of climate change: PLoS ONE, v. 6, no. 9, e24465, 13 p., https://doi.org/10.1371/journal.pone.0024465.","productDescription":"e24465, 13 p.","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":487226,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0024465","text":"Publisher Index Page"},{"id":243755,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.09631347656249,\n              37.391981943533544\n            ],\n            [\n              -121.87683105468749,\n              37.391981943533544\n            ],\n            [\n              -121.87683105468749,\n              38.302869955150044\n            ],\n            [\n              -123.09631347656249,\n              38.302869955150044\n            ],\n            [\n              -123.09631347656249,\n              37.391981943533544\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","issue":"9","noUsgsAuthors":false,"publicationDate":"2011-09-21","publicationStatus":"PW","scienceBaseUri":"505a8ef7e4b0c8380cd7f4c9","contributors":{"authors":[{"text":"Cloern, James E. 0000-0002-5880-6862 jecloern@usgs.gov","orcid":"https://orcid.org/0000-0002-5880-6862","contributorId":1488,"corporation":false,"usgs":true,"family":"Cloern","given":"James","email":"jecloern@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":446508,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knowles, Noah 0000-0001-5652-1049 nknowles@usgs.gov","orcid":"https://orcid.org/0000-0001-5652-1049","contributorId":1380,"corporation":false,"usgs":true,"family":"Knowles","given":"Noah","email":"nknowles@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":446509,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":446510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cayan, Daniel R. 0000-0002-2719-6811 drcayan@usgs.gov","orcid":"https://orcid.org/0000-0002-2719-6811","contributorId":1494,"corporation":false,"usgs":true,"family":"Cayan","given":"Daniel","email":"drcayan@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":446506,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":146383,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael D.","email":"mddettin@usgs.gov","affiliations":[],"preferred":false,"id":446513,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morgan, Tara L. 0000-0001-5632-5232","orcid":"https://orcid.org/0000-0001-5632-5232","contributorId":29124,"corporation":false,"usgs":true,"family":"Morgan","given":"Tara L.","affiliations":[],"preferred":false,"id":446507,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":446512,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stacey, Mark T.","contributorId":13367,"corporation":false,"usgs":true,"family":"Stacey","given":"Mark T.","affiliations":[],"preferred":false,"id":446511,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Van der Wegen, Mick","contributorId":191095,"corporation":false,"usgs":false,"family":"Van der Wegen","given":"Mick","email":"","affiliations":[],"preferred":false,"id":446514,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wagner, R.W.","contributorId":48784,"corporation":false,"usgs":true,"family":"Wagner","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":446505,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jassby, Alan D.","contributorId":66403,"corporation":false,"usgs":true,"family":"Jassby","given":"Alan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":446504,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70034573,"text":"70034573 - 2011 - Mercury export from the Yukon River Basin and potential response to a changing climate","interactions":[],"lastModifiedDate":"2018-11-15T10:02:09","indexId":"70034573","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":"Mercury export from the Yukon River Basin and potential response to a changing climate","docAbstract":"<p><span>We measured mercury (Hg) concentrations and calculated export and yield from the Yukon River Basin (YRB) to quantify Hg flux from a large, permafrost-dominated, high-latitude watershed. Exports of Hg averaged 4400 kg Hg yr</span><sup>–1</sup><span>. The average annual yield for the YRB during the study period was 5.17 μg m</span><sup>–2</sup><span><span>&nbsp;</span>yr</span><sup>–1</sup><span>, which is 3–32 times more than Hg yields reported for 8 other major northern hemisphere river basins. The vast majority (90%) of Hg export is associated with particulates. Half of the annual export of Hg occurred during the spring with about 80% of 34 samples exceeding the U.S. EPA Hg standard for adverse chronic effects to biota. Dissolved and particulate organic carbon exports explained 81% and 50%, respectively, of the variance in Hg exports, and both were significantly (</span><i>p</i><span><span>&nbsp;</span>&lt; 0.001) correlated with water discharge. Recent measurements indicate that permafrost contains a substantial reservoir of Hg. Consequently, climate warming will likely accelerate the mobilization of Hg from thawing permafrost increasing the export of organic carbon associated Hg and thus potentially exacerbating the production of bioavailable methylmercury from permafrost-dominated northern river basins.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/es202068b","usgsCitation":"Schuster, P.F., Striegl, R.G., Aiken, G.R., Krabbenhoft, D., Dewild, J.F., Butler, K., Kamark, B., and Dornblaser, M., 2011, Mercury export from the Yukon River Basin and potential response to a changing climate: Environmental Science & Technology, v. 45, no. 21, p. 9262-9267, https://doi.org/10.1021/es202068b.","productDescription":"6 p.","startPage":"9262","endPage":"9267","numberOfPages":"6","costCenters":[{"id":381,"text":"Mercury Research Laboratory","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":350828,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"21","noUsgsAuthors":false,"publicationDate":"2011-10-06","publicationStatus":"PW","scienceBaseUri":"505a5404e4b0c8380cd6ce66","contributors":{"authors":[{"text":"Schuster, P. F.","contributorId":117616,"corporation":false,"usgs":true,"family":"Schuster","given":"P.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":513987,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":513990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aiken, G. R.","contributorId":118978,"corporation":false,"usgs":true,"family":"Aiken","given":"G.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":513989,"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":118001,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David P.","email":"dpkrabbe@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":513988,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dewild, J. F.","contributorId":119858,"corporation":false,"usgs":true,"family":"Dewild","given":"J.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":513991,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Butler, K.","contributorId":73842,"corporation":false,"usgs":true,"family":"Butler","given":"K.","affiliations":[],"preferred":false,"id":513985,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kamark, B.","contributorId":83758,"corporation":false,"usgs":true,"family":"Kamark","given":"B.","affiliations":[],"preferred":false,"id":513986,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dornblaser, M.","contributorId":39605,"corporation":false,"usgs":true,"family":"Dornblaser","given":"M.","email":"","affiliations":[],"preferred":false,"id":513984,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70034541,"text":"70034541 - 2011 - Landscape evolution in south-central Minnesota and the role of geomorphic history on modern erosional processes","interactions":[],"lastModifiedDate":"2012-03-12T17:21:39","indexId":"70034541","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Landscape evolution in south-central Minnesota and the role of geomorphic history on modern erosional processes","docAbstract":"The Minnesota River Valley was carved during catastrophic drainage of glacial Lake Agassiz at the end of the late Pleistocene. The ensuing base-level drop on tributaries created knickpoints that excavated deep valleys as they migrated upstream. A sediment budget compiled in one of these tributaries, the Le Sueur River, shows that these deep valleys are now the primary source of sediment to the Minnesota River. To compare modern sediment loads with pre-European settlement erosion rates, we analyzed incision history using fluvial terrace ages to constrain a valley incision model. Results indicate that even thoughthe dominant sediment sources are derived from natural sources (bluffs, ravines, and streambanks), erosion rates have increased substantially, due in part to pervasive changes in watershed hydrology.","largerWorkTitle":"GSA Today","language":"English","doi":"10.1130/G121A.1","issn":"10525173","usgsCitation":"Gran, K., Belmont, P., Day, S., Finnegan, N., Jennings, C., Lauer, J., and Wilcock, P., 2011, Landscape evolution in south-central Minnesota and the role of geomorphic history on modern erosional processes, <i>in</i> GSA Today, v. 21, no. 9, p. 7-9, https://doi.org/10.1130/G121A.1.","startPage":"7","endPage":"9","numberOfPages":"3","costCenters":[],"links":[{"id":243566,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215743,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G121A.1"}],"volume":"21","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a440ee4b0c8380cd66800","contributors":{"authors":[{"text":"Gran, K.B.","contributorId":44688,"corporation":false,"usgs":true,"family":"Gran","given":"K.B.","affiliations":[],"preferred":false,"id":446303,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belmont, P.","contributorId":67322,"corporation":false,"usgs":true,"family":"Belmont","given":"P.","email":"","affiliations":[],"preferred":false,"id":446304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day, S.S.","contributorId":42805,"corporation":false,"usgs":true,"family":"Day","given":"S.S.","email":"","affiliations":[],"preferred":false,"id":446302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finnegan, N.","contributorId":106727,"corporation":false,"usgs":true,"family":"Finnegan","given":"N.","email":"","affiliations":[],"preferred":false,"id":446307,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jennings, C.","contributorId":78536,"corporation":false,"usgs":true,"family":"Jennings","given":"C.","email":"","affiliations":[],"preferred":false,"id":446305,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lauer, J.W.","contributorId":104303,"corporation":false,"usgs":true,"family":"Lauer","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":446306,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wilcock, P.R.","contributorId":36709,"corporation":false,"usgs":true,"family":"Wilcock","given":"P.R.","email":"","affiliations":[],"preferred":false,"id":446301,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"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":"<p><span>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&nbsp;</span><i>release</i><span>&nbsp;water will always be central to hydrologic science, it is equally essential to understand how catchments&nbsp;</span><i>retain</i><span>&nbsp;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.</span></p>","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":70034515,"text":"70034515 - 2011 - Large shift in source of fine sediment in the upper Mississippi River","interactions":[],"lastModifiedDate":"2021-04-20T12:12:30.228932","indexId":"70034515","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":"Large shift in source of fine sediment in the upper Mississippi River","docAbstract":"<p><span>Although sediment is a natural constituent of rivers, excess loading to rivers and streams is a leading cause of impairment and biodiversity loss. Remedial actions require identification of the sources and mechanisms of sediment supply. This task is complicated by the scale and complexity of large watersheds as well as changes in climate and land use that alter the drivers of sediment supply. Previous studies in Lake Pepin, a natural lake on the Mississippi River, indicate that sediment supply to the lake has increased 10-fold over the past 150 years. Herein we combine geochemical fingerprinting and a suite of geomorphic change detection techniques with a sediment mass balance for a tributary watershed to demonstrate that, although the sediment loading remains very large, the dominant source of sediment has shifted from agricultural soil erosion to accelerated erosion of stream banks and bluffs, driven by increased river discharge. Such hydrologic amplification of natural erosion processes calls for a new approach to watershed sediment modeling that explicitly accounts for channel and floodplain dynamics that amplify or dampen landscape processes. Further, this finding illustrates a new challenge in remediating nonpoint sediment pollution and indicates that management efforts must expand from soil erosion to factors contributing to increased water runoff.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/es2019109","issn":"0013936X","usgsCitation":"Belmont, P., Gran, K., Schottler, S., Wilcock, P., Day, S., Jennings, C., Lauer, J., Viparelli, E., Willenbring, J., Engstrom, D., and Parker, G., 2011, Large shift in source of fine sediment in the upper Mississippi River: Environmental Science & Technology, v. 45, no. 20, p. 8804-8810, https://doi.org/10.1021/es2019109.","productDescription":"7 p.","startPage":"8804","endPage":"8810","costCenters":[],"links":[{"id":243689,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"20","noUsgsAuthors":false,"publicationDate":"2011-09-15","publicationStatus":"PW","scienceBaseUri":"505a4485e4b0c8380cd66b90","contributors":{"authors":[{"text":"Belmont, P.","contributorId":67322,"corporation":false,"usgs":true,"family":"Belmont","given":"P.","email":"","affiliations":[],"preferred":false,"id":446165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gran, K.B.","contributorId":44688,"corporation":false,"usgs":true,"family":"Gran","given":"K.B.","affiliations":[],"preferred":false,"id":446164,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schottler, S.P.","contributorId":20491,"corporation":false,"usgs":true,"family":"Schottler","given":"S.P.","email":"","affiliations":[],"preferred":false,"id":446160,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilcock, P.R.","contributorId":36709,"corporation":false,"usgs":true,"family":"Wilcock","given":"P.R.","email":"","affiliations":[],"preferred":false,"id":446162,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Day, S.S.","contributorId":42805,"corporation":false,"usgs":true,"family":"Day","given":"S.S.","email":"","affiliations":[],"preferred":false,"id":446163,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jennings, C.","contributorId":78536,"corporation":false,"usgs":true,"family":"Jennings","given":"C.","email":"","affiliations":[],"preferred":false,"id":446166,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lauer, J.W.","contributorId":104303,"corporation":false,"usgs":true,"family":"Lauer","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":446169,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Viparelli, E.","contributorId":97344,"corporation":false,"usgs":true,"family":"Viparelli","given":"E.","email":"","affiliations":[],"preferred":false,"id":446168,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Willenbring, J.K.","contributorId":107960,"corporation":false,"usgs":true,"family":"Willenbring","given":"J.K.","affiliations":[],"preferred":false,"id":446170,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Engstrom, D.R.","contributorId":88496,"corporation":false,"usgs":true,"family":"Engstrom","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":446167,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Parker, G.","contributorId":31112,"corporation":false,"usgs":true,"family":"Parker","given":"G.","affiliations":[],"preferred":false,"id":446161,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70034509,"text":"70034509 - 2011 - In situ rates of sulfate reduction in response to geochemical perturbations","interactions":[],"lastModifiedDate":"2020-01-28T14:06:23","indexId":"70034509","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"In situ rates of sulfate reduction in response to geochemical perturbations","docAbstract":"<p>Rates of in situ microbial sulfate reduction in response to geochemical perturbations were determined using Native Organism Geochemical Experimentation Enclosures (NOGEEs), a new in situ technique developed to facilitate evaluation of controls on microbial reaction rates. NOGEEs function by first trapping a native microbial community in situ and then subjecting it to geochemical perturbations through the introduction of various test solutions. On three occasions, NOGEEs were used at the Norman Landfill research site in Norman, Oklahoma, to evaluate sulfate-reduction rates in wetland sediments impacted by landfill leachate. The initial experiment, in May 2007, consisted of five introductions of a sulfate test solution over 11 d. Each test stimulated sulfate reduction with rates increasing until an apparent maximum was achieved. Two subsequent experiments, conducted in October 2007 and February 2008, evaluated the effects of concentration on sulfate-reduction rates. Results from these experiments showed that faster sulfate-reduction rates were associated with increased sulfate concentrations. Understanding variability in sulfate-reduction rates in response to perturbations may be an important factor in predicting rates of natural attenuation and bioremediation of contaminants in systems not at biogeochemical equilibrium.&nbsp;</p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.2010.00782.x","issn":"0017467X","usgsCitation":"Kneeshaw, T., McGuire, J., Cozzarelli, I.M., and Smith, E., 2011, In situ rates of sulfate reduction in response to geochemical perturbations: Ground Water, v. 49, no. 6, p. 903-913, https://doi.org/10.1111/j.1745-6584.2010.00782.x.","productDescription":"11 p.","startPage":"903","endPage":"913","numberOfPages":"11","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":243596,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-01-04","publicationStatus":"PW","scienceBaseUri":"505a3985e4b0c8380cd6195b","contributors":{"authors":[{"text":"Kneeshaw, T.A.","contributorId":78552,"corporation":false,"usgs":true,"family":"Kneeshaw","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":446140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, J.T.","contributorId":17023,"corporation":false,"usgs":true,"family":"McGuire","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":446138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":780606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, E.W.","contributorId":15411,"corporation":false,"usgs":true,"family":"Smith","given":"E.W.","email":"","affiliations":[],"preferred":false,"id":446137,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034482,"text":"70034482 - 2011 - Refuge habitats for fishes during seasonal drying in an intermittent stream: Movement, survival and abundance of three minnow species","interactions":[],"lastModifiedDate":"2021-04-19T20:41:47.368478","indexId":"70034482","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":873,"text":"Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Refuge habitats for fishes during seasonal drying in an intermittent stream: Movement, survival and abundance of three minnow species","docAbstract":"<p><span>Drought and summer drying can be important disturbance events in many small streams leading to intermittent or isolated habitats. We examined what habitats act as refuges for fishes during summer drying, hypothesizing that pools would act as refuge habitats. We predicted that during drying fish would show directional movement into pools from riffle habitats, survival rates would be greater in pools than in riffles, and fish abundance would increase in pool habitats. We examined movement, survival and abundance of three minnow species, bigeye shiner (</span><i>Notropis boops</i><span>), highland stoneroller (</span><i>Campostoma spadiceum</i><span>) and creek chub (</span><i>Semotilus atromaculatus</i><span>), during seasonal stream drying in an Ozark stream using a closed robust multi-strata mark-recapture sampling. Population parameters were estimated using plausible models within program MARK, where a priori models are ranked using Akaike’s Information Criterion. Creek chub showed directional movement into pools and increased survival and abundance in pools during drying. Highland stonerollers showed strong directional movement into pools and abundance increased in pools during drying, but survival rates were not significantly greater in pools than riffles. Bigeye shiners showed high movement rates during drying, but the movement was non-directional, and survival rates were greater in riffles than pools. Therefore, creek chub supported our hypothesis and pools appear to act as refuge habitats for this species, whereas highland stonerollers partly supported the hypothesis and bigeye shiners did not support the pool refuge hypothesis. Refuge habitats during drying are species dependent. An urgent need exists to further understand refuge habitats in streams given projected changes in climate and continued alteration of hydrological regimes.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s00027-011-0206-7","issn":"10151621","usgsCitation":"Hodges, S., and Magoulick, D., 2011, Refuge habitats for fishes during seasonal drying in an intermittent stream: Movement, survival and abundance of three minnow species: Aquatic Sciences, v. 73, no. 4, p. 513-522, https://doi.org/10.1007/s00027-011-0206-7.","productDescription":"10 p.","startPage":"513","endPage":"522","costCenters":[],"links":[{"id":243718,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215883,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00027-011-0206-7"}],"volume":"73","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-05-17","publicationStatus":"PW","scienceBaseUri":"50e4a450e4b0e8fec6cdbb25","contributors":{"authors":[{"text":"Hodges, S.W.","contributorId":98563,"corporation":false,"usgs":true,"family":"Hodges","given":"S.W.","email":"","affiliations":[],"preferred":false,"id":446028,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magoulick, D.D.","contributorId":80862,"corporation":false,"usgs":true,"family":"Magoulick","given":"D.D.","affiliations":[],"preferred":false,"id":446027,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034477,"text":"70034477 - 2011 - A computer program for flow-log analysis of single holes (FLASH)","interactions":[],"lastModifiedDate":"2020-01-11T11:33:46","indexId":"70034477","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"A computer program for flow-log analysis of single holes (FLASH)","docAbstract":"<p>A new computer program, FLASH (Flow-Log Analysis of Single Holes), is presented for the analysis of borehole vertical flow logs. The code is based on an analytical solution for steady-state multilayer radial flow to a borehole. The code includes options for (1) discrete fractures and (2) multilayer aquifers. Given vertical flow profiles collected under both ambient and stressed (pumping or injection) conditions, the user can estimate fracture (or layer) transmissivities and far-field hydraulic heads. FLASH is coded in Microsoft Excel with Visual Basic for Applications routines. The code supports manual and automated model calibration.</p>","language":"English","publisher":"National Groundwater Association","doi":"10.1111/j.1745-6584.2011.00798.x","issn":"0017467X","usgsCitation":"Day-Lewis, F., Johnson, C., Paillet, F.L., and Halford, K.J., 2011, A computer program for flow-log analysis of single holes (FLASH): Ground Water, v. 49, no. 6, p. 926-931, https://doi.org/10.1111/j.1745-6584.2011.00798.x.","productDescription":"6 p.","startPage":"926","endPage":"931","numberOfPages":"6","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":438829,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7319SZC","text":"USGS data release","linkHelpText":"FLASH: A Computer Program for Flow-Log Analysis of Single Holes"},{"id":243652,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-02-09","publicationStatus":"PW","scienceBaseUri":"5059e2d3e4b0c8380cd45c8c","contributors":{"authors":[{"text":"Day-Lewis, F. D. 0000-0003-3526-886X","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":35773,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"F. D.","affiliations":[],"preferred":false,"id":446004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, C. D.","contributorId":8120,"corporation":false,"usgs":true,"family":"Johnson","given":"C. D.","affiliations":[],"preferred":false,"id":446003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paillet, Frederick L.","contributorId":63820,"corporation":false,"usgs":true,"family":"Paillet","given":"Frederick","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":446006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Halford, K. J. 0000-0002-7322-1846","orcid":"https://orcid.org/0000-0002-7322-1846","contributorId":61077,"corporation":false,"usgs":true,"family":"Halford","given":"K.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":446005,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034466,"text":"70034466 - 2011 - Multivariate analyses with end-member mixing to characterize groundwater flow: Wind Cave and associated aquifers","interactions":[],"lastModifiedDate":"2021-04-21T12:30:39.312442","indexId":"70034466","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Multivariate analyses with end-member mixing to characterize groundwater flow: Wind Cave and associated aquifers","docAbstract":"<p><span>Principal component analysis (PCA) applied to hydrochemical data has been used with end-member mixing to characterize groundwater flow to a limited extent, but aspects of this approach are unresolved. Previous similar approaches typically have assumed that the extreme-value samples identified by PCA represent end members. The method presented herein is different from previous work in that (1) end members were not assumed to have been sampled but rather were estimated and constrained by prior knowledge; (2) end-member mixing was quantified in relation to hydrogeologic domains, which focuses model results on major hydrologic processes; (3) a method to select an appropriate number of end members using a series of cluster analyses is presented; and (4) conservative tracers were weighted preferentially in model calibration, which distributed model errors of optimized values, or residuals, more appropriately than would otherwise be the case. The latter item also provides an estimate of the relative influence of geochemical evolution along flow paths in comparison to mixing. This method was applied to groundwater in Wind Cave and the associated karst aquifer in the Black Hills of South Dakota, USA. The end-member mixing model was used to test a hypothesis that five different end-member waters are mixed in the groundwater system comprising five hydrogeologic domains. The model estimated that Wind Cave received most of its groundwater inflow from local surface recharge with an additional 33% from an upgradient aquifer. Artesian springs in the vicinity of Wind Cave primarily received water from regional groundwater flow.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2011.08.028","issn":"00221694","usgsCitation":"Long, A., and Valder, J., 2011, Multivariate analyses with end-member mixing to characterize groundwater flow: Wind Cave and associated aquifers: Journal of Hydrology, v. 409, no. 1-2, p. 315-327, https://doi.org/10.1016/j.jhydrol.2011.08.028.","productDescription":"13 p.","startPage":"315","endPage":"327","costCenters":[],"links":[{"id":244474,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Wind Cave","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.9471435546875,\n              43.08493742707592\n            ],\n            [\n              -102.9144287109375,\n              43.08493742707592\n            ],\n            [\n              -102.9144287109375,\n              43.92163712834673\n            ],\n            [\n              -103.9471435546875,\n              43.92163712834673\n            ],\n            [\n              -103.9471435546875,\n              43.08493742707592\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"409","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a60b3e4b0c8380cd71630","contributors":{"authors":[{"text":"Long, Andrew J.","contributorId":80023,"corporation":false,"usgs":false,"family":"Long","given":"Andrew J.","affiliations":[],"preferred":false,"id":445951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valder, J.F.","contributorId":57295,"corporation":false,"usgs":true,"family":"Valder","given":"J.F.","affiliations":[],"preferred":false,"id":445950,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034465,"text":"70034465 - 2011 - Environmental conditions constrain the distribution and diversity of archaeal merA in Yellowstone National Park, Wyoming, U.S.A.","interactions":[],"lastModifiedDate":"2020-01-28T17:03:56","indexId":"70034465","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2729,"text":"Microbial Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Environmental conditions constrain the distribution and diversity of archaeal merA in Yellowstone National Park, Wyoming, U.S.A.","docAbstract":"<p>The distribution and phylogeny of extant protein-encoding genes recovered from geochemically diverse environments can provide insight into the physical and chemical parameters that led to the origin and which constrained the evolution of a functional process. Mercuric reductase (MerA) plays an integral role in mercury (Hg) biogeochemistry by catalyzing the transformation of Hg(II) to Hg(0). Putative merA sequences were amplified from DNA extracts of microbial communities associated with mats and sulfur precipitates from physicochemically diverse Hg-containing springs in Yellowstone National Park, Wyoming, using four PCR primer sets that were designed to capture the known diversity of merA. The recovery of novel and deeply rooted MerA lineages from these habitats supports previous evidence that indicates merA originated in a thermophilic environment. Generalized linear models indicate that the distribution of putative archaeal merA lineages was constrained by a combination of pH, dissolved organic carbon, dissolved total mercury and sulfide. The models failed to identify statistically well supported trends for the distribution of putative bacterial merA lineages as a function of these or other measured environmental variables, suggesting that these lineages were either influenced by environmental parameters not considered in the present study, or the bacterial primer sets were designed to target too broad of a class of genes which may have responded differently to environmental stimuli. The widespread occurrence of merA in the geothermal environments implies a prominent role for Hg detoxification in these environments. Moreover, the differences in the distribution of the merA genes amplified with the four merA primer sets suggests that the organisms putatively engaged in this activity have evolved to occupy different ecological niches within the geothermal gradient.&nbsp;</p>","language":"English","publisher":"Springer","doi":"10.1007/s00248-011-9890-z","issn":"00953628","usgsCitation":"Wang, Y., Boyd, E., Crane, S., Lu-Irving, P., Krabbenhoft, D.P., King, S., Dighton, J., Geesey, G., and Barkay, T., 2011, Environmental conditions constrain the distribution and diversity of archaeal merA in Yellowstone National Park, Wyoming, U.S.A.: Microbial Ecology, v. 62, no. 4, p. 739-752, https://doi.org/10.1007/s00248-011-9890-z.","productDescription":"14 p.","startPage":"739","endPage":"752","numberOfPages":"14","costCenters":[{"id":381,"text":"Mercury Research Laboratory","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":244473,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.05255126953125,\n              44.1151978766043\n            ],\n            [\n              -110.12695312499999,\n              44.1151978766043\n            ],\n            [\n              -110.12695312499999,\n              44.990055522906864\n            ],\n            [\n              -111.05255126953125,\n              44.990055522906864\n            ],\n            [\n              -111.05255126953125,\n              44.1151978766043\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"62","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-06-29","publicationStatus":"PW","scienceBaseUri":"505a0990e4b0c8380cd51f86","contributors":{"authors":[{"text":"Wang, Y.","contributorId":64213,"corporation":false,"usgs":true,"family":"Wang","given":"Y.","affiliations":[],"preferred":false,"id":445944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyd, E.","contributorId":82558,"corporation":false,"usgs":true,"family":"Boyd","given":"E.","email":"","affiliations":[],"preferred":false,"id":445946,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crane, S.","contributorId":96117,"corporation":false,"usgs":true,"family":"Crane","given":"S.","email":"","affiliations":[],"preferred":false,"id":445949,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lu-Irving, P.","contributorId":76968,"corporation":false,"usgs":true,"family":"Lu-Irving","given":"P.","email":"","affiliations":[],"preferred":false,"id":445945,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":445947,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"King, S.","contributorId":91323,"corporation":false,"usgs":true,"family":"King","given":"S.","affiliations":[],"preferred":false,"id":445948,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dighton, J.","contributorId":47201,"corporation":false,"usgs":true,"family":"Dighton","given":"J.","email":"","affiliations":[],"preferred":false,"id":445941,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Geesey, G.","contributorId":52430,"corporation":false,"usgs":true,"family":"Geesey","given":"G.","affiliations":[],"preferred":false,"id":445942,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Barkay, T.","contributorId":57617,"corporation":false,"usgs":true,"family":"Barkay","given":"T.","affiliations":[],"preferred":false,"id":445943,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70034461,"text":"70034461 - 2011 - Looking beyond fertilizer: Assessing the contribution of nitrogen from hydrologic inputs and organic matter to plant growth in the cranberry agroecosystem","interactions":[],"lastModifiedDate":"2021-04-20T15:44:36.170781","indexId":"70034461","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2915,"text":"Nutrient Cycling in Agroecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Looking beyond fertilizer: Assessing the contribution of nitrogen from hydrologic inputs and organic matter to plant growth in the cranberry agroecosystem","docAbstract":"<p><span>Even though nitrogen (N) is a key nutrient for successful cranberry production, N cycling in cranberry agroecosystems is not completely understood. Prior research has focused mainly on timing and uptake of ammonium fertilizer, but the objective of our study was to evaluate the potential for additional N contributions from hydrologic inputs (flooding, irrigation, groundwater, and precipitation) and organic matter (OM). Plant biomass, soil, surface and groundwater samples were collected from five cranberry beds (cranberry production fields) on four different farms, representing both upland and lowland systems. Estimated average annual plant uptake (63.3&nbsp;±&nbsp;22.5&nbsp;kg&nbsp;N&nbsp;ha</span><sup>−1</sup><span>&nbsp;year</span><sup>−1</sup><span>) exceeded total average annual fertilizer inputs (39.5&nbsp;±&nbsp;11.6&nbsp;kg&nbsp;N&nbsp;ha</span><sup>−1</sup><span>&nbsp;year</span><sup>−1</sup><span>). Irrigation, precipitation, and floodwater N summed to an average 23&nbsp;±&nbsp;0.7&nbsp;kg&nbsp;N&nbsp;ha</span><sup>−1</sup><span>&nbsp;year</span><sup>−1</sup><span>, which was about 60% of fertilizer N. Leaf and stem litterfall added 5.2&nbsp;±&nbsp;1.2 and 24.1&nbsp;±&nbsp;3.0&nbsp;kg&nbsp;N&nbsp;ha</span><sup>−1</sup><span>&nbsp;year</span><sup>−1</sup><span>&nbsp;respectively. The estimated net N mineralization rate from the buried bag technique was 5&nbsp;±&nbsp;0.2&nbsp;kg&nbsp;N&nbsp;ha</span><sup>−1</sup><span>&nbsp;year</span><sup>−1</sup><span>, which was nearly 15% of fertilizer N. Dissolved organic nitrogen represented a significant portion of the total N pool in both surface water and soil samples. Mixed-ion exchange resin core incubations indicated that 80% of total inorganic N from fertilizer, irrigation, precipitation, and mineralization was nitrate, and approximately 70% of recovered inorganic N from groundwater was nitrate. There was a weak but significant negative relationship between extractable soil ammonium concentrations and ericoid mycorrhizal colonization (ERM) rates (</span><i>r</i><span>&nbsp;=&nbsp;−0.22,&nbsp;</span><i>P</i><span>&nbsp;&lt;&nbsp;0.045). Growers may benefit from balancing the N inputs from hydrologic sources and OM relative to fertilizer N in order to maximize the benefits of ERM fungi in actively mediating N cycling in cranberry agroecosystems.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s10705-011-9442-4","issn":"13851314","usgsCitation":"Stackpoole, S., Kosola, K., Workmaster, B., Guldan, N., Browne, B., and Jackson, R.D., 2011, Looking beyond fertilizer: Assessing the contribution of nitrogen from hydrologic inputs and organic matter to plant growth in the cranberry agroecosystem: Nutrient Cycling in Agroecosystems, v. 91, no. 1, p. 41-54, https://doi.org/10.1007/s10705-011-9442-4.","productDescription":"14 p.","startPage":"41","endPage":"54","costCenters":[],"links":[{"id":244410,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216533,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10705-011-9442-4"}],"volume":"91","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-07-05","publicationStatus":"PW","scienceBaseUri":"505a49c8e4b0c8380cd688b1","contributors":{"authors":[{"text":"Stackpoole, S.M.","contributorId":98004,"corporation":false,"usgs":true,"family":"Stackpoole","given":"S.M.","affiliations":[],"preferred":false,"id":445928,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kosola, K.R.","contributorId":21008,"corporation":false,"usgs":true,"family":"Kosola","given":"K.R.","email":"","affiliations":[],"preferred":false,"id":445923,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Workmaster, B.A.A.","contributorId":57294,"corporation":false,"usgs":true,"family":"Workmaster","given":"B.A.A.","email":"","affiliations":[],"preferred":false,"id":445926,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guldan, N.M.","contributorId":38809,"corporation":false,"usgs":true,"family":"Guldan","given":"N.M.","email":"","affiliations":[],"preferred":false,"id":445925,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Browne, B.A.","contributorId":85006,"corporation":false,"usgs":true,"family":"Browne","given":"B.A.","email":"","affiliations":[],"preferred":false,"id":445927,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jackson, R. D.","contributorId":30758,"corporation":false,"usgs":false,"family":"Jackson","given":"R.","email":"","middleInitial":"D.","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":445924,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034449,"text":"70034449 - 2011 - Quantifying the hydrological responses to climate change in an intact forested small watershed in Southern China","interactions":[],"lastModifiedDate":"2021-04-20T16:50:44.05911","indexId":"70034449","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the hydrological responses to climate change in an intact forested small watershed in Southern China","docAbstract":"<p><span>Responses of hydrological processes to climate change are key components in the Intergovernmental Panel for Climate Change (IPCC) assessment. Understanding these responses is critical for developing appropriate mitigation and adaptation strategies for sustainable water resources management and protection of public safety. However, these responses are not well understood and little long‐term evidence exists. Herein, we show how climate change, specifically increased air temperature and storm intensity, can affect soil moisture dynamics and hydrological variables based on both long‐term observation and model simulations using the Soil and Water Assessment Tool (SWAT) in an intact forested watershed (the Dinghushan Biosphere Reserve) in Southern China. Our results show that, although total annual precipitation changed little from 1950 to 2009, soil moisture decreased significantly. A significant decline was also found in the monthly 7‐day low flow from 2000 to 2009. However, the maximum daily streamflow in the wet season and unconfined groundwater tables have significantly increased during the same 10‐year period. The significant decreasing trends on soil moisture and low flow variables suggest that the study watershed is moving towards drought‐like condition. Our analysis indicates that the intensification of rainfall storms and the increasing number of annual no‐rain days were responsible for the increasing chance of both droughts and floods. We conclude that climate change has indeed induced more extreme hydrological events (e.g. droughts and floods) in this watershed and perhaps other areas of Southern China. This study also demonstrated usefulness of our research methodology and its possible applications on quantifying the impacts of climate change on hydrology in any other watersheds where long‐term data are available and human disturbance is negligible.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2486.2011.02499.x","issn":"13541013","usgsCitation":"Zhou, G., Wei, X., Wu, Y., Huang, Y., Yan, J., Zhang, D., Zhang, Q., Liu, J., Meng, Z., Wang, C., Chu, G., Liu, S., Tang, X., and Liu, X., 2011, Quantifying the hydrological responses to climate change in an intact forested small watershed in Southern China: Global Change Biology, v. 17, no. 12, p. 3736-3746, https://doi.org/10.1111/j.1365-2486.2011.02499.x.","productDescription":"11 p.","startPage":"3736","endPage":"3746","costCenters":[],"links":[{"id":244756,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216858,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2486.2011.02499.x"}],"volume":"17","issue":"12","noUsgsAuthors":false,"publicationDate":"2011-08-02","publicationStatus":"PW","scienceBaseUri":"505a91e7e4b0c8380cd8052b","contributors":{"authors":[{"text":"Zhou, G.","contributorId":12604,"corporation":false,"usgs":true,"family":"Zhou","given":"G.","email":"","affiliations":[],"preferred":false,"id":445839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wei, X.","contributorId":50636,"corporation":false,"usgs":true,"family":"Wei","given":"X.","email":"","affiliations":[],"preferred":false,"id":445844,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wu, Y.","contributorId":79312,"corporation":false,"usgs":true,"family":"Wu","given":"Y.","email":"","affiliations":[],"preferred":false,"id":445849,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huang, Y.","contributorId":62000,"corporation":false,"usgs":true,"family":"Huang","given":"Y.","email":"","affiliations":[],"preferred":false,"id":445847,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yan, J.","contributorId":24480,"corporation":false,"usgs":true,"family":"Yan","given":"J.","email":"","affiliations":[],"preferred":false,"id":445841,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhang, Dongxiao","contributorId":26409,"corporation":false,"usgs":true,"family":"Zhang","given":"Dongxiao","email":"","affiliations":[],"preferred":false,"id":445842,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhang, Q.","contributorId":84163,"corporation":false,"usgs":true,"family":"Zhang","given":"Q.","email":"","affiliations":[],"preferred":false,"id":445850,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liu, J.","contributorId":23672,"corporation":false,"usgs":false,"family":"Liu","given":"J.","affiliations":[],"preferred":false,"id":445840,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Meng, Z.","contributorId":54818,"corporation":false,"usgs":true,"family":"Meng","given":"Z.","email":"","affiliations":[],"preferred":false,"id":445846,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wang, C.","contributorId":50689,"corporation":false,"usgs":true,"family":"Wang","given":"C.","email":"","affiliations":[],"preferred":false,"id":445845,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Chu, G.","contributorId":87001,"corporation":false,"usgs":true,"family":"Chu","given":"G.","email":"","affiliations":[],"preferred":false,"id":445851,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":445852,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Tang, X.","contributorId":43082,"corporation":false,"usgs":true,"family":"Tang","given":"X.","email":"","affiliations":[],"preferred":false,"id":445843,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Liu, Xiuying","contributorId":76529,"corporation":false,"usgs":true,"family":"Liu","given":"Xiuying","email":"","affiliations":[],"preferred":false,"id":445848,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70034414,"text":"70034414 - 2011 - Bias-adjusted satellite-based rainfall estimates for predicting floods: Narayani Basin","interactions":[],"lastModifiedDate":"2021-04-21T15:33:05.290244","indexId":"70034414","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2289,"text":"Journal of Flood Risk Management","active":true,"publicationSubtype":{"id":10}},"title":"Bias-adjusted satellite-based rainfall estimates for predicting floods: Narayani Basin","docAbstract":"<p><span>In Nepal, as the spatial distribution of rain gauges is not sufficient to provide detailed perspective on the highly varied spatial nature of rainfall, satellite‐based rainfall estimates provides the opportunity for timely estimation. This paper presents the flood prediction of Narayani Basin at the Devghat hydrometric station (32 000 km</span><sup>2</sup><span>) using bias‐adjusted satellite rainfall estimates and the Geospatial Stream Flow Model (GeoSFM), a spatially distributed, physically based hydrologic model. The GeoSFM with gridded gauge observed rainfall inputs using kriging interpolation from 2003 was used for calibration and 2004 for validation to simulate stream flow with both having a Nash Sutcliff Efficiency of above 0.7. With the National Oceanic and Atmospheric Administration Climate Prediction Centre's rainfall estimates (CPC_RFE2.0), using the same calibrated parameters, for 2003 the model performance deteriorated but improved after recalibration with CPC_RFE2.0 indicating the need to recalibrate the model with satellite‐based rainfall estimates. Adjusting the CPC_RFE2.0 by a seasonal, monthly and 7‐day moving average ratio, improvement in model performance was achieved. Furthermore, a new gauge‐satellite merged rainfall estimates obtained from ingestion of local rain gauge data resulted in significant improvement in flood predictability. The results indicate the applicability of satellite‐based rainfall estimates in flood prediction with appropriate bias correction.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1753-318X.2011.01121.x","issn":"1753318X","usgsCitation":"Shrestha, M., Artan, G.A., Bajracharya, S., Gautam, D., and Tokar, S., 2011, Bias-adjusted satellite-based rainfall estimates for predicting floods: Narayani Basin: Journal of Flood Risk Management, v. 4, no. 4, p. 360-373, https://doi.org/10.1111/j.1753-318X.2011.01121.x.","productDescription":"14 p.","startPage":"360","endPage":"373","costCenters":[],"links":[{"id":244627,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216741,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1753-318X.2011.01121.x"}],"country":"Nepal","otherGeospatial":"Narayani Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              83.7158203125,\n              29.36302703778376\n            ],\n            [\n              83.43017578125,\n              28.536274512989916\n            ],\n            [\n              86.7919921875,\n              27.430289738862594\n            ],\n            [\n              87.0556640625,\n              28.05259082333983\n            ],\n            [\n              83.7158203125,\n              29.36302703778376\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"4","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-09-13","publicationStatus":"PW","scienceBaseUri":"5059f0d6e4b0c8380cd4a943","contributors":{"authors":[{"text":"Shrestha, M.S.","contributorId":45547,"corporation":false,"usgs":true,"family":"Shrestha","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":445664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Artan, G. A.","contributorId":50733,"corporation":false,"usgs":false,"family":"Artan","given":"G.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":445665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bajracharya, S.R.","contributorId":25387,"corporation":false,"usgs":true,"family":"Bajracharya","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":445663,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gautam, D.K.","contributorId":90568,"corporation":false,"usgs":true,"family":"Gautam","given":"D.K.","email":"","affiliations":[],"preferred":false,"id":445667,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tokar, S.A.","contributorId":67331,"corporation":false,"usgs":true,"family":"Tokar","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":445666,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034411,"text":"70034411 - 2011 - Digital hydrologic networks supporting applications related to spatially referenced regression modeling","interactions":[],"lastModifiedDate":"2021-04-22T11:51:43.894857","indexId":"70034411","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":"Digital hydrologic networks supporting applications related to spatially referenced regression modeling","docAbstract":"<p><span>Digital hydrologic networks depicting surface‐water pathways and their associated drainage catchments provide a key component to hydrologic analysis and modeling. Collectively, they form common spatial units that can be used to frame the descriptions of aquatic and watershed processes. In addition, they provide the ability to simulate and route the movement of water and associated constituents throughout the landscape. Digital hydrologic networks have evolved from derivatives of mapping products to detailed, interconnected, spatially referenced networks of water pathways, drainage areas, and stream and watershed characteristics. These properties are important because they enhance the ability to spatially evaluate factors that affect the sources and transport of water‐quality constituents at various scales. SPAtially Referenced Regressions On Watershed attributes (SPARROW), a process‐based/statistical model, relies on a digital hydrologic network in order to establish relations between quantities of monitored contaminant flux, contaminant sources, and the associated physical characteristics affecting contaminant transport. Digital hydrologic networks modified from the River Reach File (RF1) and National Hydrography Dataset (NHD) geospatial datasets provided frameworks for SPARROW in six regions of the conterminous United States. In addition, characteristics of the modified RF1 were used to update estimates of mean‐annual streamflow. This produced more current flow estimates for use in SPARROW modeling.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1752-1688.2011.00578.x","issn":"1093474X","usgsCitation":"Brakebill, J., Wolock, D., and Terziotti, S., 2011, Digital hydrologic networks supporting applications related to spatially referenced regression modeling: Journal of the American Water Resources Association, v. 47, no. 5, p. 916-932, https://doi.org/10.1111/j.1752-1688.2011.00578.x.","productDescription":"17 p.","startPage":"916","endPage":"932","costCenters":[],"links":[{"id":475217,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/j.1752-1688.2011.00578.x","text":"External Repository"},{"id":244564,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-08-22","publicationStatus":"PW","scienceBaseUri":"505a0120e4b0c8380cd4fadf","contributors":{"authors":[{"text":"Brakebill, J. W.","contributorId":48206,"corporation":false,"usgs":true,"family":"Brakebill","given":"J. W.","affiliations":[],"preferred":false,"id":445655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, D.M. 0000-0002-6209-938X","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":36601,"corporation":false,"usgs":true,"family":"Wolock","given":"D.M.","affiliations":[],"preferred":false,"id":445654,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Terziotti, S.E.","contributorId":6287,"corporation":false,"usgs":true,"family":"Terziotti","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":445653,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034409,"text":"70034409 - 2011 - The influence of irrigation water on the hydrology and lake water budgets of two small arid-climate lakes in Khorezm, Uzbekistan","interactions":[],"lastModifiedDate":"2013-04-25T12:16:48","indexId":"70034409","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"The influence of irrigation water on the hydrology and lake water budgets of two small arid-climate lakes in Khorezm, Uzbekistan","docAbstract":"Little is known regarding the origins and hydrology of hundreds of small lakes located in the western Uzbekistan province of Khorezm, Central Asia. Situated in the Aral Sea Basin, Khorezm is a productive agricultural region, growing mainly cotton, wheat, and rice. Irrigation is provided by an extensive canal network that conveys water from the Amu Darya River (AD) throughout the province. The region receives on average 10 cm/year of precipitation, yet potential evapotranspiration exceeds this amount by about 15 times. It was hypothesized that the perennial existence of the lakes of interest depends on periodic input of excess irrigation water. This hypothesis was investigated by studying two small lakes in the region, Tuyrek and Khodjababa. In June and July 2008, surface water and shallow groundwater samples were collected at these lake systems and surrounding communities and analyzed for δ<sup>2</sup>H, δ<sup>18</sup>O, and major ion hydrochemistry to determine water sources. Water table and lake surface elevations were monitored, and the local aquifer characteristics were determined through aquifer tests. These data and climate data from a Class A evaporation pan and meteorological stations were used to estimate water budgets for both lakes. Lake evaporation was found to be about 0.7 cm/day during the study period. Results confirm that the waters sampled at both lake systems and throughout central Khorezm were evaporated from AD water to varying degrees. Together, the water budgets and stable isotope and major ion hydrochemistry data suggest that without surface water input from some source (i.e. excess irrigation water), these and other Khorezm lakes with similar hydrology may decrease in volume dramatically, potentially to the point of complete desiccation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jhydrol.2011.09.028","issn":"00221694","usgsCitation":"Scott, J., Rosen, M.R., Saito, L., and Decker, D., 2011, The influence of irrigation water on the hydrology and lake water budgets of two small arid-climate lakes in Khorezm, Uzbekistan: Journal of Hydrology, v. 410, no. 1-2, p. 114-125, https://doi.org/10.1016/j.jhydrol.2011.09.028.","productDescription":"12 p.","startPage":"114","endPage":"125","numberOfPages":"12","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":244531,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216648,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2011.09.028"}],"country":"Uzbekistan","state":"Khorezm","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 60.06,40.56 ], [ 60.06,42.00 ], [ 62.36,42.00 ], [ 62.36,40.56 ], [ 60.06,40.56 ] ] ] } } ] }","volume":"410","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bad2ae4b08c986b323a11","contributors":{"authors":[{"text":"Scott, J.","contributorId":57795,"corporation":false,"usgs":false,"family":"Scott","given":"J.","affiliations":[],"preferred":false,"id":445648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosen, Michael R.","contributorId":43096,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":445647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saito, L.","contributorId":59402,"corporation":false,"usgs":true,"family":"Saito","given":"L.","email":"","affiliations":[],"preferred":false,"id":445649,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Decker, D.L.","contributorId":71797,"corporation":false,"usgs":true,"family":"Decker","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":445650,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034406,"text":"70034406 - 2011 - Hillslope chemical weathering across  Paraná, Brazil: a data mining-GIS hybrid approach","interactions":[],"lastModifiedDate":"2015-03-12T13:29:38","indexId":"70034406","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Hillslope chemical weathering across  Paraná, Brazil: a data mining-GIS hybrid approach","docAbstract":"<p><span>Self-organizing map (SOM) and geographic information system (GIS) models were used to investigate the nonlinear relationships associated with geochemical weathering processes at local (~100&nbsp;km</span><sup>2</sup><span>) and regional (~50,000&nbsp;km</span><sup>2</sup><span>) scales. The data set consisted of 1) 22 B-horizon soil variables: P, C, pH, Al, total acidity, Ca, Mg, K, total cation exchange capacity, sum of exchangeable bases, base saturation, Cu, Zn, Fe, B, S, Mn, gammaspectrometry (total count, potassium, thorium, and uranium) and magnetic susceptibility measures; and 2) six topographic variables: elevation, slope, aspect, hydrological accumulated flux, horizontal curvature and vertical curvature. It is characterized at 304 locations from a quasi-regular grid spaced about 24&nbsp;km across the state of Paran&aacute;. This data base was split into two subsets: one for analysis and modeling (274 samples) and the other for validation (30 samples) purposes. The self-organizing map and clustering methods were used to identify and classify the relations among solid-phase chemical element concentrations and GIS derived topographic models. The correlation between elevation and k-means clusters related the relative position inside hydrologic macro basins, which was interpreted as an expression of the weathering process reaching a steady-state condition at the regional scale. Locally, the chemical element concentrations were related to the vertical curvature representing concave&ndash;convex hillslope features, where concave hillslopes with convergent flux tends to be a reducing environment and convex hillslopes with divergent flux, oxidizing environments. Stochastic cross validation demonstrated that the SOM produced unbiased classifications and quantified the relative amount of uncertainty in predictions. This work strengthens the hypothesis that, at B-horizon steady-state conditions, the terrain morphometry were linked with the soil geochemical weathering in a two-way dependent process: the topographic relief was a factor on environmental geochemistry while chemical weathering was for terrain feature delineation.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2011.05.006","issn":"0169555X","usgsCitation":"Iwashita, F., Friedel, M.J., Filho, C., and Fraser, S.J., 2011, Hillslope chemical weathering across  Paraná, Brazil: a data mining-GIS hybrid approach: Geomorphology, v. 132, no. 3-4, p. 167-175, https://doi.org/10.1016/j.geomorph.2011.05.006.","productDescription":"9 p.","startPage":"167","endPage":"175","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":244470,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216590,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geomorph.2011.05.006"}],"country":"Brazil","state":"Parana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -54.58007812499999,\n              -26.391869671769022\n            ],\n            [\n              -54.58007812499999,\n              -22.45164881912619\n            ],\n            [\n              -47.9443359375,\n              -22.45164881912619\n            ],\n            [\n              -47.9443359375,\n              -26.391869671769022\n            ],\n            [\n              -54.58007812499999,\n              -26.391869671769022\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"132","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a314ee4b0c8380cd5ddf4","contributors":{"authors":[{"text":"Iwashita, Fabio","contributorId":72287,"corporation":false,"usgs":true,"family":"Iwashita","given":"Fabio","email":"","affiliations":[],"preferred":false,"id":445622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedel, Michael J. 0000-0002-5060-3999 mfriedel@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":595,"corporation":false,"usgs":true,"family":"Friedel","given":"Michael","email":"mfriedel@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":445621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Filho, Carlos Roberto de Souza","contributorId":83361,"corporation":false,"usgs":true,"family":"Filho","given":"Carlos Roberto de Souza","affiliations":[],"preferred":false,"id":445619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fraser, Stephen J.","contributorId":87769,"corporation":false,"usgs":true,"family":"Fraser","given":"Stephen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":445620,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034405,"text":"70034405 - 2011 - Investigating the spatial distribution of water levels in the Mackenzie Delta using airborne LiDAR","interactions":[],"lastModifiedDate":"2021-04-21T16:38:21.588417","indexId":"70034405","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":"Investigating the spatial distribution of water levels in the Mackenzie Delta using airborne LiDAR","docAbstract":"<p><span>Airborne light detection and ranging (LiDAR) data were used to map water level (WL) and hydraulic gradients (δH/δx) in the Mackenzie Delta. The LiDAR WL data were validated against eight independent hydrometric gauge measurements and demonstrated mean offsets from − 0·22 to + 0·04 m (σ&lt; 0·11). LiDAR‐based WL gradients could be estimated with confidence over channel lengths exceeding 5–10 km where the WL change exceeded local noise levels in the LiDAR data. For the entire Delta, the LiDAR sample coverage indicated a rate of change in longitudinal gradient (δ</span><sup>2</sup><span>H/δx) of 5·5 × 10</span><sup>−10</sup><span>&nbsp;m m</span><sup>−2</sup><span>; therefore offering a potential means to estimate average flood stage hydraulic gradient for areas of the Delta not sampled or monitored. In the Outer Delta, within‐channel and terrain gradient measurements all returned a consistent estimate of − 1 × 10</span><sup>−5</sup><span>&nbsp;m m</span><sup>−1</sup><span>, suggesting that this is a typical hydraulic gradient for the downstream end of the Delta. For short reaches (&lt;10 km) of the Peel and Middle Channels in the middle of the Delta, significant and consistent hydraulic gradient estimates of − 5 × 10</span><sup>−5</sup><span>&nbsp;m m</span><sup>−1</sup><span>&nbsp;were observed. Evidence that hydraulic gradients can vary over short distances, however, was observed in the Peel Channel immediately upstream of Aklavik. A positive elevation anomaly (bulge) of &gt; 0·1 m was observed at a channel constriction entering a meander bend, suggesting a localized modification of the channel hydraulics. Furthermore, water levels in the anabranch channels of the Peel River were almost 1 m higher than in Middle Channel of the Mackenzie River. This suggests: (i) the channels are elevated and have shallower bank heights in this part of the delta, leading to increased cross‐delta and along‐channel hydraulic gradients; and/or (ii) a proportion of the Peel River flow is lost to Middle Channel due to drainage across the delta through anastamosing channels. This study has demonstrated that airborne LiDAR data contain valuable information describing Arctic river delta water surface and hydraulic attributes that would be challenging to acquire by other means.&nbsp;</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.8167","issn":"08856087","usgsCitation":"Hopkinson, C., Crasto, N., Marsh, P., Forbes, D., and Lesack, L., 2011, Investigating the spatial distribution of water levels in the Mackenzie Delta using airborne LiDAR: Hydrological Processes, v. 25, no. 19, p. 2995-3011, https://doi.org/10.1002/hyp.8167.","productDescription":"17 p.","startPage":"2995","endPage":"3011","costCenters":[],"links":[{"id":244441,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216563,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.8167"}],"country":"Canada","otherGeospatial":"Mackenzie Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -136.669921875,\n              67.09310451852075\n            ],\n            [\n              -130.60546875,\n              67.09310451852075\n            ],\n            [\n              -130.60546875,\n              69.90011762668541\n            ],\n            [\n              -136.669921875,\n              69.90011762668541\n            ],\n            [\n              -136.669921875,\n              67.09310451852075\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"19","noUsgsAuthors":false,"publicationDate":"2011-06-03","publicationStatus":"PW","scienceBaseUri":"505a3e71e4b0c8380cd63dac","contributors":{"authors":[{"text":"Hopkinson, C.","contributorId":67749,"corporation":false,"usgs":true,"family":"Hopkinson","given":"C.","email":"","affiliations":[],"preferred":false,"id":445616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crasto, N.","contributorId":21369,"corporation":false,"usgs":true,"family":"Crasto","given":"N.","email":"","affiliations":[],"preferred":false,"id":445614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marsh, P.","contributorId":99279,"corporation":false,"usgs":true,"family":"Marsh","given":"P.","affiliations":[],"preferred":false,"id":445618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forbes, D.","contributorId":57681,"corporation":false,"usgs":true,"family":"Forbes","given":"D.","email":"","affiliations":[],"preferred":false,"id":445615,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lesack, L.","contributorId":84177,"corporation":false,"usgs":true,"family":"Lesack","given":"L.","email":"","affiliations":[],"preferred":false,"id":445617,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034401,"text":"70034401 - 2011 - Fluoride geochemistry of thermal waters in Yellowstone National Park: I. Aqueous fluoride speciation","interactions":[],"lastModifiedDate":"2020-01-28T16:41:22","indexId":"70034401","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Fluoride geochemistry of thermal waters in Yellowstone National Park: I. Aqueous fluoride speciation","docAbstract":"<p><span>Thermal water samples from Yellowstone National Park (YNP) have a wide range of pH (1–10), temperature, and high concentrations of fluoride (up to 50</span><span>&nbsp;</span><span>mg/l). High fluoride concentrations are found in waters with field pH higher than 6 (except those in Crater Hills) and temperatures higher than 50</span><span>&nbsp;</span><span>°C based on data from more than 750 water samples covering most thermal areas in YNP from 1975 to 2008. In this study, more than 140 water samples from YNP collected in 2006–2009 were analyzed for free-fluoride activity by ion-selective electrode (ISE) method as an independent check on the reliability of fluoride speciation calculations. The free to total fluoride concentration ratio ranged from &lt;1% at low pH values to &gt;99% at high pH. The wide range in fluoride activity can be explained by strong complexing with H</span><sup>+</sup><span><span>&nbsp;</span>and Al</span><sup>3+</sup><span><span>&nbsp;</span>under acidic conditions and lack of complexing under basic conditions. Differences between the free-fluoride activities calculated with the WATEQ4F code and those measured by ISE were within 0.3–30% for more than 90% of samples at or above 10</span><sup>−6</sup><span><span>&nbsp;</span>molar, providing corroboration for chemical speciation models for a wide range of pH and chemistry of YNP thermal waters. Calculated speciation results show that free fluoride, F</span><sup>−</sup><span>, and major complexes (</span><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>HF</mtext></mrow><mrow is=&quot;true&quot;><mo stretchy=&quot;false&quot; is=&quot;true&quot;>(</mo><mtext is=&quot;true&quot;>aq</mtext><mo stretchy=&quot;false&quot; is=&quot;true&quot;>)</mo></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>0</mn></mrow></msubsup></mrow></math>\"><span class=\"MJX_Assistive_MathML\">HF(aq)0</span></span><span>, AlF</span><sup>2+</sup><span>,<span>&nbsp;</span></span><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>AlF</mtext></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>2</mn></mrow><mrow is=&quot;true&quot;><mo is=&quot;true&quot;>+</mo></mrow></msubsup></mrow></math>\"><span class=\"MJX_Assistive_MathML\">AlF2+</span></span><span>and<span>&nbsp;</span></span><span id=\"MathJax-Element-3-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>AlF</mtext></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>3</mn></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>0</mn></mrow></msubsup></mrow></math>\"><span class=\"MJX_Assistive_MathML\">AlF30</span></span><span>) account for more than 95% of total fluoride. Occasionally, some complex species like<span>&nbsp;</span></span><span id=\"MathJax-Element-4-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>AlF</mtext></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>4</mn></mrow><mrow is=&quot;true&quot;><mo is=&quot;true&quot;>-</mo></mrow></msubsup></mrow></math>\"><span class=\"MJX_Assistive_MathML\">AlF4-</span></span><span>, FeF</span><sup>2+</sup><span>,<span>&nbsp;</span></span><span id=\"MathJax-Element-5-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>FeF</mtext></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>2</mn></mrow><mrow is=&quot;true&quot;><mo is=&quot;true&quot;>+</mo></mrow></msubsup></mrow></math>\"><span class=\"MJX_Assistive_MathML\">FeF2+</span></span><span>, MgF</span><sup>+</sup><span><span>&nbsp;</span>and<span>&nbsp;</span></span><span id=\"MathJax-Element-6-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msub is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>BF</mtext></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>2</mn></mrow></msub><mo stretchy=&quot;false&quot; is=&quot;true&quot;>(</mo><mtext is=&quot;true&quot;>OH</mtext><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mo stretchy=&quot;false&quot; is=&quot;true&quot;>)</mo></mrow><mrow is=&quot;true&quot;><mn is=&quot;true&quot;>2</mn></mrow><mrow is=&quot;true&quot;><mo is=&quot;true&quot;>-</mo></mrow></msubsup></mrow></math>\"><span class=\"MJX_Assistive_MathML\">BF2(OH)2-</span></span><span><span>&nbsp;</span>may comprise 1–10% when the concentrations of the appropriate components are high. According to the simulation results by PHREEQC and calculated results, the ratio of main fluoride species to total fluoride varies as a function of pH and the concentrations and ratios of F and Al.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2011.05.028","issn":"00167037","usgsCitation":"Deng, Y., Nordstrom, D.K., and McCleskey, R.B., 2011, Fluoride geochemistry of thermal waters in Yellowstone National Park: I. Aqueous fluoride speciation: Geochimica et Cosmochimica Acta, v. 75, no. 16, p. 4476-4489, https://doi.org/10.1016/j.gca.2011.05.028.","productDescription":"14 p.","startPage":"4476","endPage":"4489","ipdsId":"IP-023276","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":244406,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.05255126953125,\n              44.1151978766043\n            ],\n            [\n              -110.12695312499999,\n              44.1151978766043\n            ],\n            [\n              -110.12695312499999,\n              44.990055522906864\n            ],\n            [\n              -111.05255126953125,\n              44.990055522906864\n            ],\n            [\n              -111.05255126953125,\n              44.1151978766043\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"75","issue":"16","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1288e4b0c8380cd54343","contributors":{"authors":[{"text":"Deng, Y.","contributorId":57686,"corporation":false,"usgs":true,"family":"Deng","given":"Y.","email":"","affiliations":[],"preferred":false,"id":445603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":445605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":445604,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034368,"text":"70034368 - 2011 - Mercury distribution and lipid oxidation in fish muscle: Effects of washing and isoelectric protein precipitation","interactions":[],"lastModifiedDate":"2020-01-28T16:48:40","indexId":"70034368","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2149,"text":"Journal of Agricultural and Food Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Mercury distribution and lipid oxidation in fish muscle: Effects of washing and isoelectric protein precipitation","docAbstract":"<div class=\"container container_scaled-down\"><div class=\"row\"><div class=\"col-xs-12\"><div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Nearly all the mercury (Hg) in whole muscle from whitefish (<i>Coregonus clupeaformis</i>) and walleye (<i>Sander vitreus</i>) was present as methyl mercury (MeHg). The Hg content in whole muscle from whitefish and walleye was 0.04–0.09 and 0.14–0.81 ppm, respectively. The myofibril fraction contained approximately three-fourths of the Hg in whitefish and walleye whole muscle. The sarcoplasmic protein fraction (e.g., press juice) was the next most abundant source of Hg. Isolated myosin, triacylglycerols, and cellular membranes contained the least Hg. Protein isolates prepared by pH shifting in the presence of citric acid did not decrease Hg levels. Addition of cysteine during washing decreased the Hg content in washed muscle probably through the interaction of the sulfhydryl group in cysteine with MeHg. Primary and secondary lipid oxidation products were lower during 2 °C storage in isolates prepared by pH shifting compared to those of washed or unwashed mince from whole muscle. This was attributed to removing some of the cellular membranes by pH shifting. Washing the mince accelerated lipid peroxide formation but decreased secondary lipid oxidation products compared to that of the unwashed mince. This suggested that there was a lipid hydroperoxide generating system that was active upon dilution of aqueous antioxidants and pro-oxidants.</p></div></div></div></div>","language":"English","publisher":"ACS","doi":"10.1021/jf202411p","issn":"00218561","usgsCitation":"Gong, Y., Krabbenhoft, D.P., Ren, L., Egelandsdal, B., and Richards, M., 2011, Mercury distribution and lipid oxidation in fish muscle: Effects of washing and isoelectric protein precipitation: Journal of Agricultural and Food Chemistry, v. 59, no. 20, p. 11050-11057, https://doi.org/10.1021/jf202411p.","productDescription":"8 p.","startPage":"11050","endPage":"11057","numberOfPages":"8","costCenters":[{"id":381,"text":"Mercury Research Laboratory","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":244884,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"20","noUsgsAuthors":false,"publicationDate":"2011-09-29","publicationStatus":"PW","scienceBaseUri":"505a5400e4b0c8380cd6ce59","contributors":{"authors":[{"text":"Gong, Y.","contributorId":56885,"corporation":false,"usgs":true,"family":"Gong","given":"Y.","email":"","affiliations":[],"preferred":false,"id":445440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":445443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ren, L.","contributorId":61268,"corporation":false,"usgs":true,"family":"Ren","given":"L.","email":"","affiliations":[],"preferred":false,"id":445441,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Egelandsdal, B.","contributorId":10252,"corporation":false,"usgs":true,"family":"Egelandsdal","given":"B.","email":"","affiliations":[],"preferred":false,"id":445439,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richards, M.P.","contributorId":62436,"corporation":false,"usgs":true,"family":"Richards","given":"M.P.","email":"","affiliations":[],"preferred":false,"id":445442,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}