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,{"id":70033970,"text":"70033970 - 2011 - Classification of MEC with the ALLTEM at Camp Stanley, Texas","interactions":[],"lastModifiedDate":"2012-03-12T17:21:47","indexId":"70033970","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3317,"text":"SEG Technical Program Expanded Abstracts","active":true,"publicationSubtype":{"id":10}},"title":"Classification of MEC with the ALLTEM at Camp Stanley, Texas","docAbstract":"The ALLTEM is a multi-axis electromagnetic induction system designed for unexploded ordnance UXO applications. It uses a continuous triangle-wave excitation and provides good late-time signal-to-noise ratio SNR especially for ferrous targets. Multi-axis transmitter Tx and receiver Rx systems such as ALLTEM provide a richer data set from which to invert for the target parameters required to distinguish between clutter and UXO. Inversions of field data acquired between 2006 and 2010 over the Army's UXO Standardized Test sites at the Yuma Proving Ground YPG in Arizona and at the Aberdeen Proving Ground APG in Maryland have produced reasonable and generally repeatable results for many UXO items buried at different orientations and depths. In February-March 2011 ALLTEM data was acquired at two locations on the Camp Stanley Storage Activity CSSA just north of San Antonio, Texas. Camp Stanley is used to store munitions as well as test, fire, and overhaul munitions components. Site B-20 is an open burn/open detonation OBOD area and Site B-27 consists of narrow trenches blasted into limestone containing buried range and munitions debris and possibly MEC. The processing, analysis, and classification techniques developed at the controlled environments of YPG and APG have been applied to these two \"live\" sites at Camp Stanley. ALLTEM data analysis includes both classical numerical inversion of data from each anomaly and clustering of the raw data by means of a self-organizing map SOM via generalized neural network algorithms. Final classification consists of an integration of both the numerical and SOM results. ?? 2011 Society of Exploration Geophysicists.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"SEG Technical Program Expanded Abstracts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1190/1.3627456","issn":"10523812","usgsCitation":"Asch, T., Moulton, C., and Smith, D., 2011, Classification of MEC with the ALLTEM at Camp Stanley, Texas: SEG Technical Program Expanded Abstracts, v. 30, no. 1, p. 1363-1367, https://doi.org/10.1190/1.3627456.","startPage":"1363","endPage":"1367","numberOfPages":"5","costCenters":[],"links":[{"id":216860,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1190/1.3627456"},{"id":244758,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-05-25","publicationStatus":"PW","scienceBaseUri":"5059f618e4b0c8380cd4c5b7","contributors":{"authors":[{"text":"Asch, T.","contributorId":95709,"corporation":false,"usgs":true,"family":"Asch","given":"T.","email":"","affiliations":[],"preferred":false,"id":443459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moulton, C.","contributorId":24198,"corporation":false,"usgs":true,"family":"Moulton","given":"C.","email":"","affiliations":[],"preferred":false,"id":443457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, D.V.","contributorId":31143,"corporation":false,"usgs":true,"family":"Smith","given":"D.V.","email":"","affiliations":[],"preferred":false,"id":443458,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046614,"text":"70046614 - 2011 - Solid sample locations for Fanno Creek, Oregon","interactions":[],"lastModifiedDate":"2013-06-17T08:45:39","indexId":"70046614","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Solid sample locations for Fanno Creek, Oregon","docAbstract":"Fanno Creek is a tributary to the Tualatin River and flows though parts of the southwest Portland metropolitan area. The stream is heavily influenced by urban runoff and shows characteristic flashy streamflow and poor water quality commonly associated with urban streams. This data set represents the locations where solid samples were collected.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046614","usgsCitation":"Sobieszczyk, S., 2011, Solid sample locations for Fanno Creek, Oregon, Dataset, https://doi.org/10.3133/70046614.","productDescription":"Dataset","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273758,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273757,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/fannoCk_solid_samples.xml"}],"country":"United States","state":"Oregon","otherGeospatial":"Fanno Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -129.351779,39.745375 ], [ -129.351779,55.265926 ], [ -109.448056,55.265926 ], [ -109.448056,39.745375 ], [ -129.351779,39.745375 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c02ff7e4b0ee1529ed3d64","contributors":{"authors":[{"text":"Sobieszczyk, Steven 0000-0002-0834-8437 ssobie@usgs.gov","orcid":"https://orcid.org/0000-0002-0834-8437","contributorId":885,"corporation":false,"usgs":true,"family":"Sobieszczyk","given":"Steven","email":"ssobie@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479869,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046615,"text":"70046615 - 2011 - Stream Centerline for Fanno Creek, Oregon","interactions":[],"lastModifiedDate":"2013-06-17T08:56:05","indexId":"70046615","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Stream Centerline for Fanno Creek, Oregon","docAbstract":"Fanno Creek is a tributary to the Tualatin River and flows though parts of the southwest Portland metropolitan area. The stream is heavily influenced by urban runoff and shows characteristic flashy streamflow and poor water quality commonly associated with urban streams. This data set represents the stream centerline of the current active channel as derived from light detection and ranging (LiDAR) data and aerial photographic imagery.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046615","usgsCitation":"Sobieszczyk, S., 2011, Stream Centerline for Fanno Creek, Oregon, Dataset, https://doi.org/10.3133/70046615.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273760,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273759,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/fannoCk_stm_cntr_ln.xml"}],"country":"United States","state":"Oregon","otherGeospatial":"Fanno Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -129.351779,39.745375 ], [ -129.351779,55.265926 ], [ -109.448056,55.265926 ], [ -109.448056,39.745375 ], [ -129.351779,39.745375 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c02ff8e4b0ee1529ed3d6f","contributors":{"authors":[{"text":"Sobieszczyk, Steven 0000-0002-0834-8437 ssobie@usgs.gov","orcid":"https://orcid.org/0000-0002-0834-8437","contributorId":885,"corporation":false,"usgs":true,"family":"Sobieszczyk","given":"Steven","email":"ssobie@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479870,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046616,"text":"70046616 - 2011 - Water sample locations for Fanno Creek, Oregon","interactions":[],"lastModifiedDate":"2013-06-17T09:03:30","indexId":"70046616","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Water sample locations for Fanno Creek, Oregon","docAbstract":"Fanno Creek is a tributary to the Tualatin River and flows though parts of the southwest Portland metropolitan area. The stream is heavily influenced by urban runoff and shows characteristic flashy streamflow and poor water quality commonly associated with urban streams. This data set represents the locations where water-quality samples were collected.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046616","usgsCitation":"Sobieszczyk, S., 2011, Water sample locations for Fanno Creek, Oregon, Dataset, https://doi.org/10.3133/70046616.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273762,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273761,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/fannoCk_water_samples.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -129.351779,39.745375 ], [ -129.351779,55.265926 ], [ -109.448056,55.265926 ], [ -109.448056,39.745375 ], [ -129.351779,39.745375 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c02ff9e4b0ee1529ed3d87","contributors":{"authors":[{"text":"Sobieszczyk, Steven 0000-0002-0834-8437 ssobie@usgs.gov","orcid":"https://orcid.org/0000-0002-0834-8437","contributorId":885,"corporation":false,"usgs":true,"family":"Sobieszczyk","given":"Steven","email":"ssobie@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479871,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046617,"text":"70046617 - 2011 - GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow","interactions":[],"lastModifiedDate":"2013-06-17T09:22:06","indexId":"70046617","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow","docAbstract":"This dataset, termed \"GAGES II\", an acronym for Geospatial Attributes of Gages for Evaluating Streamflow, version II, provides geospatial data and classifications for 9,322 stream gages maintained by the U.S. Geological Survey (USGS). It is an update to the original GAGES, which was published as a Data Paper on the journal Ecology's website (Falcone and others, 2010b) in 2010. The GAGES II dataset consists of gages which have had either 20+ complete years (not necessarily continuous) of discharge record since 1950, or are currently active, as of water year 2009, and whose watersheds lie within the United States, including Alaska, Hawaii, and Puerto Rico. Reference gages were identified based on indicators that they were the least-disturbed watersheds within the framework of broad regions, based on 12 major ecoregions across the United States. Of the 9,322 total sites, 2,057 are classified as reference, and 7,265 as non-reference. Of the 2,057 reference sites, 1,633 have (through 2009) 20+ years of record since 1950. Some sites have very long flow records: a number of gages have been in continuous service since 1900 (at least), and have 110 years of complete record (1900-2009) to date. The geospatial data include several hundred watershed characteristics compiled from national data sources, including environmental features (e.g. climate – including historical precipitation, geology, soils, topography) and anthropogenic influences (e.g. land use, road density, presence of dams, canals, or power plants). The dataset also includes comments from local USGS Water Science Centers, based on Annual Data Reports, pertinent to hydrologic modifications and influences. The data posted also include watershed boundaries in GIS format. This overall dataset is different in nature to the USGS Hydro-Climatic Data Network (HCDN; Slack and Landwehr 1992), whose data evaluation ended with water year 1988. The HCDN identifies stream gages which at some point in their history had periods which represented natural flow, and the years in which those natural flows occurred were identified (i.e. not all HCDN sites were in reference condition even in 1988, for example, 02353500). The HCDN remains a valuable indication of historic natural streamflow data. However, the goal of this dataset was to identify watersheds which currently have near-natural flow conditions, and the 2,057 reference sites identified here were derived independently of the HCDN. A subset, however, noted in the BasinID worksheet as “HCDN-2009”, has been identified as an updated list of 743 sites for potential hydro-climatic study. The HCDN-2009 sites fulfill all of the following criteria: (a) have 20 years of complete and continuous flow record in the last 20 years (water years 1990-2009), and were thus also currently active as of 2009, (b) are identified as being in current reference condition according to the GAGES-II classification, (c) have less than 5 percent imperviousness as measured from the NLCD 2006, and (d) were not eliminated by a review from participating state Water Science Center evaluators. The data posted here consist of the following items:- This point shapefile, with summary data for the 9,322 gages.- A zip file containing basin characteristics, variable definitions, and a more detailed report.- A zip file containing shapefiles of basin boundaries, organized by classification and aggregated ecoregion.- A zip file containing mainstem stream lines (Arc line coverages) for each gage.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046617","usgsCitation":"Falcone, J.A., 2011, GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow, Dataset, https://doi.org/10.3133/70046617.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273766,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273765,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/gagesII_Sept2011.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.000000,5.402082 ], [ -180.000000,90.000000 ], [ 180.000000,90.000000 ], [ 180.000000,5.402082 ], [ -180.000000,5.402082 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c02feae4b0ee1529ed3cdc","contributors":{"authors":[{"text":"Falcone, James A. 0000-0001-7202-3592 jfalcone@usgs.gov","orcid":"https://orcid.org/0000-0001-7202-3592","contributorId":614,"corporation":false,"usgs":true,"family":"Falcone","given":"James","email":"jfalcone@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":479872,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70034248,"text":"70034248 - 2011 - Effects of biologically-active chemical mixtures on fish in a wastewater-impacted urban stream","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034248","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Effects of biologically-active chemical mixtures on fish in a wastewater-impacted urban stream","docAbstract":"Stream flow in urban aquatic ecosystems often is maintained by water-reclamation plant (WRP) effluents that contain mixtures of natural and anthropogenic chemicals that persist through the treatment processes. In effluent-impacted streams, aquatic organisms such as fish are continuously exposed to biologically-active chemicals throughout their life cycles. The North Shore Channel of the Chicago River (Chicago, Illinois) is part of an urban ecosystem in which > 80% of the annual flow consists of effluent from the North Side WRP. In this study, multiple samplings of the effluent and stream water were conducted and fish (largemouth bass and carp) were collected on 2 occasions from the North Shore Channel. Fish also were collected once from the Outer Chicago Harbor in Lake Michigan, a reference site not impacted by WRP discharges. Over 100 organic chemicals with differing behaviors and biological effects were measured, and 23 compounds were detected in all of the water samples analyzed. The most frequently detected and highest concentration (> 100 ??g/L) compounds were ethylenediaminetetraacetic acid and 4-nonylphenolmono-to-tetraethoxycarboxylic acids. Other biologically-active chemicals including bisphenol A, 4-nonylphenol, 4-nonylphenolmono-to-tetraethoxylates, 4- tert-octylphenol, and 4- tert-octylphenolmono-to-tetraethoxylates were detected at lower concentrations (< 5 ??g/L). The biogenic steroidal hormones 17??-estradiol, estrone, testosterone, 4-androstene-3,17-dione, and cis-androsterone were detected at even lower concentrations (< 0.005 ??g/L). There were slight differences in concentrations between the North Side WRP effluent and the North Shore Channel, indicating minimal in-stream attenuation. Fish populations are continuously exposed to mixtures of biologically-active chemicals because of the relative persistency of the chemicals with respect to stream hydraulic residence time, and the lack of a fresh water source for dilution. The majority of male fish exhibited vitellogenin induction, a physiological response consistent with exposure to estrogenic compounds. Tissue-level signs of reproductive disruption, such as ovatestis, were not observed. ?? 2011.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.scitotenv.2011.06.039","issn":"00489697","usgsCitation":"Barber, L.B., Brown, G., Nettesheim, T., Murphy, E., Bartell, S., and Schoenfuss, H., 2011, Effects of biologically-active chemical mixtures on fish in a wastewater-impacted urban stream: Science of the Total Environment, v. 409, no. 22, p. 4720-4728, https://doi.org/10.1016/j.scitotenv.2011.06.039.","startPage":"4720","endPage":"4728","numberOfPages":"9","costCenters":[],"links":[{"id":216610,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2011.06.039"},{"id":244491,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"409","issue":"22","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0698e4b0c8380cd51311","contributors":{"authors":[{"text":"Barber, L. B.","contributorId":64602,"corporation":false,"usgs":true,"family":"Barber","given":"L.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":444890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, G.K.","contributorId":62362,"corporation":false,"usgs":true,"family":"Brown","given":"G.K.","email":"","affiliations":[],"preferred":false,"id":444889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nettesheim, T.G.","contributorId":92891,"corporation":false,"usgs":true,"family":"Nettesheim","given":"T.G.","affiliations":[],"preferred":false,"id":444892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, E.W.","contributorId":92515,"corporation":false,"usgs":true,"family":"Murphy","given":"E.W.","email":"","affiliations":[],"preferred":false,"id":444891,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bartell, S.E.","contributorId":40817,"corporation":false,"usgs":true,"family":"Bartell","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":444888,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schoenfuss, H.L.","contributorId":103877,"corporation":false,"usgs":true,"family":"Schoenfuss","given":"H.L.","affiliations":[],"preferred":false,"id":444893,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034313,"text":"70034313 - 2011 - Predicting breeding habitat for amphibians: A spatiotemporal analysis across Yellowstone National Park","interactions":[],"lastModifiedDate":"2021-04-22T17:01:03.465858","indexId":"70034313","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Predicting breeding habitat for amphibians: A spatiotemporal analysis across Yellowstone National Park","docAbstract":"<p><span>The ability to predict amphibian breeding across landscapes is important for informing land management decisions and helping biologists better understand and remediate factors contributing to declines in amphibian populations. We built geospatial models of likely breeding habitats for each of four amphibian species that breed in Yellowstone National Park (YNP). We used field data collected in 2000–2002 from 497 sites among 16 basins and predictor variables from geospatial models produced from remotely sensed data (e.g., digital elevation model, complex topographic index, landform data, wetland probability, and vegetative cover). Except for 31 sites in one basin that were surveyed in both 2000 and 2002, all sites were surveyed once. We used polytomous regression to build statistical models for each species of amphibian from (1) field survey site data only, (2) field data combined with data from geospatial models, and (3) data from geospatial models only. Based on measures of receiver operating characteristic (ROC) scores, models of the second type best explained likely breeding habitat because they contained the most information (ROC values ranged from 0.70 to 0.88). However, models of the third type could be applied to the entire YNP landscape and produced maps that could be verified with reserve field data. Accuracy rates for models built for single years were highly variable, ranging from 0.30 to 0.78. Accuracy rates for models built with data combined from multiple years were higher and less variable, ranging from 0.60 to 0.80. Combining results from the geospatial multiyear models yielded maps of “core” breeding areas (areas with high probability values for all three years) surrounded by areas that scored high for only one or two years, providing an estimate of variability among years. Such information can highlight landscape options for amphibian conservation. For example, our models identify alternative areas that could be protected for each species, including 6828–10 764 ha for tiger salamanders, 971–3017 ha for western toads, 4732–16 696 ha for boreal chorus frogs, and 4940–19 690 ha for Columbia spotted frogs.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/10-1261.1","issn":"10510761","usgsCitation":"Bartelt, P.E., Gallant, A.L., Klaver, R.W., Wright, C., Patla, D.A., and Peterson, C.R., 2011, Predicting breeding habitat for amphibians: A spatiotemporal analysis across Yellowstone National Park: Ecological Applications, v. 21, no. 7, p. 2530-2547, https://doi.org/10.1890/10-1261.1.","productDescription":"18 p.","startPage":"2530","endPage":"2547","costCenters":[],"links":[{"id":475420,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/10-1261.1","text":"Publisher Index Page"},{"id":244495,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216614,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/10-1261.1"}],"country":"United States","state":"Wyoming","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              -111.0772705078125,\n              44.18614312298759\n            ],\n            [\n              -109.8907470703125,\n              44.18614312298759\n            ],\n            [\n              -109.8907470703125,\n              45.092913646051144\n            ],\n            [\n              -111.0772705078125,\n              45.092913646051144\n            ],\n            [\n              -111.0772705078125,\n              44.18614312298759\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a81aae4b0c8380cd7b670","contributors":{"authors":[{"text":"Bartelt, Paul E.","contributorId":18895,"corporation":false,"usgs":true,"family":"Bartelt","given":"Paul","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":445202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallant, Alisa L. 0000-0002-3029-6637 gallant@usgs.gov","orcid":"https://orcid.org/0000-0002-3029-6637","contributorId":2940,"corporation":false,"usgs":true,"family":"Gallant","given":"Alisa","email":"gallant@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":445200,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":445204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, C.K.","contributorId":25780,"corporation":false,"usgs":true,"family":"Wright","given":"C.K.","affiliations":[],"preferred":false,"id":445201,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Patla, Debra A.","contributorId":40059,"corporation":false,"usgs":true,"family":"Patla","given":"Debra","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":445203,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peterson, Charles R.","contributorId":95738,"corporation":false,"usgs":true,"family":"Peterson","given":"Charles","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":445199,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034106,"text":"70034106 - 2011 - Anthropogenic influences on shoreline and nearshore evolution in the San Francisco Bay coastal system","interactions":[],"lastModifiedDate":"2017-10-30T12:59:27","indexId":"70034106","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Anthropogenic influences on shoreline and nearshore evolution in the San Francisco Bay coastal system","docAbstract":"Analysis of four historical bathymetric surveys over a 132-year period has revealed significant changes to the morphology of the San Francisco Bar, an ebb-tidal delta at the mouth of San Francisco Bay estuary. From 1873 to 2005 the San Francisco Bar vertically-eroded an average of 80 cm over a 125 km<sup>2</sup> area, which equates to a total volume loss of 100 ± 52 million m<sup>3</sup> of fine- to coarse-grained sand. Comparison of the surveys indicates the entire ebb-tidal delta contracted radially, with the crest moving landward an average of 1 km. Long-term erosion of the ebb-tidal delta is hypothesized to be due to a reduction in the tidal prism of San Francisco Bay and a decrease in coastal sediment supply, both as a result of anthropogenic activities. Prior research indicates that the tidal prism of the estuary was reduced by 9% from filling, diking, and sedimentation. Compilation of historical records dating back to 1900 reveals that a minimum of 200 million m3 of sediment has been permanently removed from the San Francisco Bay coastal system through dredging, aggregate mining, and borrow pit mining. Of this total, ~54 million m<sup>3</sup> of sand-sized or coarser sediment was removed from central San Francisco Bay. With grain sizes comparable to the ebb-tidal delta, and its direct connection to the bay mouth, removal of sediments from central San Francisco Bay may limit the sand supply to the delta and open coast beaches.\n\nSWAN wave modeling illustrates that changes to the morphology of the San Francisco Bar have altered the alongshore wave energy distribution at adjacent Ocean Beach, and thus may be a significant factor in a persistent beach erosion ‘hot spot’ occurring in the area. Shoreline change analyses show that the sandy shoreline in the shadow of the ebb-tidal delta experienced long-term (1850s/1890s to 2002) and short-term (1960s/1980s to 2002) accretion while the adjacent sandy shoreline exposed to open-ocean waves experienced long-term and short-term erosion. Therefore, the recently observed accelerating rates of bay sediment removal, ebb-tidal delta erosion, and open coast beach erosion are all correlated temporally.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.ecss.2010.12.031","issn":"02727714","usgsCitation":"Dallas, K., and Barnard, P., 2011, Anthropogenic influences on shoreline and nearshore evolution in the San Francisco Bay coastal system: Estuarine, Coastal and Shelf Science, v. 92, no. 1, p. 195-204, https://doi.org/10.1016/j.ecss.2010.12.031.","productDescription":"10 p.","startPage":"195","endPage":"204","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":244837,"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":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.4985,37.4477 ], [ -122.4985,37.9649 ], [ -122.0419,37.9649 ], [ -122.0419,37.4477 ], [ -122.4985,37.4477 ] ] ] } } ] }","volume":"92","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ec5ae4b0c8380cd49201","contributors":{"authors":[{"text":"Dallas, K.L.","contributorId":85013,"corporation":false,"usgs":true,"family":"Dallas","given":"K.L.","email":"","affiliations":[],"preferred":false,"id":444123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnard, P.L.","contributorId":20527,"corporation":false,"usgs":true,"family":"Barnard","given":"P.L.","email":"","affiliations":[],"preferred":false,"id":444122,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034147,"text":"70034147 - 2011 - Source and fate of inorganic soil contamination around the abandoned Phillips sulfide mine, hudson Highlands, New York","interactions":[],"lastModifiedDate":"2016-08-25T16:52:19","indexId":"70034147","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3422,"text":"Soil and Sediment Contamination","active":true,"publicationSubtype":{"id":10}},"title":"Source and fate of inorganic soil contamination around the abandoned Phillips sulfide mine, hudson Highlands, New York","docAbstract":"<p>The abandoned Phillips sulfide mine in the critical Highlands watershed in New York has been shown to produce strongly acidic mine drainage (AMD) with anomalous metal contaminants in first-order streams that exceeded local water standards by up to several orders of magnitude (Gilchrist et al., 2009). The metal-sulfide-rich tailings also produce contaminated soils with pH &lt; 4, organic matter &lt; 2.5% and trace metals sequestered in soil oxides. A geochemical transect to test worst-case soil contamination showed that Cr, Co and Ni correlated positively with Mn, (r = 0.72, r= 0.89, r = 0.80, respectively), suggesting Mn-oxide sequestration and that Cu and Pb correlated with Fe (r = 0.76, r = 0.83, respectively), suggesting sequestration in goethite. Ubiquitous, yellow coating on the mine wastes, including jarosite and goethite, is a carrier of the metals. Geochemical and μ-SXRF analyses determined Cu to be the major soil contaminant. μ-SXRF also demonstrated that the heterogeneous nature of the soil chemistry at the micro-meter scale is self-similar to those in the bulk soil samples. Generally metals decreased, with some fluctuations, rapidly downslope through suspension of fines and dissolution in AMD leaving the area of substantial contamination &lt;&lt; 0.5 km from the source.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Soil and Sediment Contamination","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1080/15320383.2011.528712","issn":"15320383","usgsCitation":"Gilchrist, S., Gates, A., Elzinga, E., Gorring, M., and Szabo, Z., 2011, Source and fate of inorganic soil contamination around the abandoned Phillips sulfide mine, hudson Highlands, New York: Soil and Sediment Contamination, v. 20, no. 1, p. 54-74, https://doi.org/10.1080/15320383.2011.528712.","productDescription":"21 p.","startPage":"54","endPage":"74","costCenters":[],"links":[{"id":244547,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216663,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/15320383.2011.528712"}],"country":"United States","state":"New York","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.00390625,\n              41.42728289146282\n            ],\n            [\n              -74.00390625,\n              41.52451550292325\n            ],\n            [\n              -73.87893676757812,\n              41.52451550292325\n            ],\n            [\n              -73.87893676757812,\n              41.42728289146282\n            ],\n            [\n              -74.00390625,\n              41.42728289146282\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"20","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-12-23","publicationStatus":"PW","scienceBaseUri":"505b931be4b08c986b31a2c3","contributors":{"authors":[{"text":"Gilchrist, S.","contributorId":34332,"corporation":false,"usgs":true,"family":"Gilchrist","given":"S.","email":"","affiliations":[],"preferred":false,"id":444318,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gates, A.","contributorId":100203,"corporation":false,"usgs":true,"family":"Gates","given":"A.","email":"","affiliations":[],"preferred":false,"id":444321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elzinga, E.","contributorId":10643,"corporation":false,"usgs":true,"family":"Elzinga","given":"E.","email":"","affiliations":[],"preferred":false,"id":444317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gorring, M.","contributorId":35983,"corporation":false,"usgs":true,"family":"Gorring","given":"M.","email":"","affiliations":[],"preferred":false,"id":444319,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Szabo, Z. 0000-0002-0760-9607","orcid":"https://orcid.org/0000-0002-0760-9607","contributorId":44302,"corporation":false,"usgs":true,"family":"Szabo","given":"Z.","affiliations":[],"preferred":false,"id":444320,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70033965,"text":"70033965 - 2011 - Historical trends of hypoxia in Changjiang River estuary: Applications of chemical biomarkers and microfossils","interactions":[],"lastModifiedDate":"2013-03-09T21:59:34","indexId":"70033965","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2381,"text":"Journal of Marine Systems","active":true,"publicationSubtype":{"id":10}},"title":"Historical trends of hypoxia in Changjiang River estuary: Applications of chemical biomarkers and microfossils","docAbstract":"Over the past two decades China has become the largest global consumer of fertilizers, which has enhanced river nutrient fluxes and caused eutrophication and hypoxia in the Yangtze (Changjiang) large river delta-front estuary (LDE). In this study, we utilized plant pigments, lignin-phenols, stable isotopes (δ<sup>13</sup>C and δ<sup>15</sup>N) and foraminiferal microfossils in <sup>210</sup>Pb dated cores to examine the history of hypoxia in the Changjiang LDE. Two sediment cores were collected onboard R/V Dong Fang Hong 2 using a stainless-steel box-corer; one at a water depth of 24.7 m on Jun. 15, 2006 and the other at 52 m on Nov. 20, 2007, both in the hypoxic region off the Changjiang LDE. There has been a significant increase in the abundance of plant pigments after 1979 that are indicators of enhanced diatom and cyanobacterial abundance, which agrees with post-1980 record of increasing nutrient loads in the Changjiang River. The increased inputs of terrestrially derived materials to the LDE are largely woody plant sources and most likely due to deforestation that began in the early 1950s. However, post-1960 lignin data did not reflect enhanced loading of woody materials despite continued deforestation possibly due to increased trapping from greater dam construction, a reduction of deforestation in the drainage basin since the last 1990s, and soil conservation practices. The lack of linkages between bulk indices (stable isotopes, % OC, molar C/N ratios) and microfossil/chemical biomarkers may reflect relative differences in the amount of carbon tracked by these different proxies. Although NO3− is likely responsible for most of the changes in phytoplankton production (post 1970s), historical changes in N loading from the watershed and hypoxia on the LDE shelf may not be as well linked in East China Sea (ECS) sediments due to possible denitrification/ammonification processes; finally, increases in low-oxygen tolerant foraminiferal microfossils indicate there has been an increase in the number of hypoxic bottom water events on the Changjiang LDE over the past 60 years.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Marine Systems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jmarsys.2011.02.003","issn":"09247963","usgsCitation":"Li, X., Bianchi, T., Yang, Z., Osterman, L., Allison, M.A., DiMarco, S.F., and Yang, G., 2011, Historical trends of hypoxia in Changjiang River estuary: Applications of chemical biomarkers and microfossils: Journal of Marine Systems, v. 86, no. 3-4, p. 57-68, https://doi.org/10.1016/j.jmarsys.2011.02.003.","productDescription":"12 p.","startPage":"57","endPage":"68","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":244664,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216775,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jmarsys.2011.02.003"}],"country":"China","otherGeospatial":"Changjiang River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 73.5,18.2 ], [ 73.5,53.6 ], [ 134.8,53.6 ], [ 134.8,18.2 ], [ 73.5,18.2 ] ] ] } } ] }","volume":"86","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a31aae4b0c8380cd5e10e","contributors":{"authors":[{"text":"Li, X.","contributorId":67635,"corporation":false,"usgs":true,"family":"Li","given":"X.","email":"","affiliations":[],"preferred":false,"id":443433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bianchi, T.S.","contributorId":90500,"corporation":false,"usgs":true,"family":"Bianchi","given":"T.S.","email":"","affiliations":[],"preferred":false,"id":443434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yang, Z.","contributorId":97709,"corporation":false,"usgs":true,"family":"Yang","given":"Z.","affiliations":[],"preferred":false,"id":443435,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Osterman, L.E.","contributorId":53836,"corporation":false,"usgs":true,"family":"Osterman","given":"L.E.","email":"","affiliations":[],"preferred":false,"id":443432,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allison, M. A.","contributorId":49834,"corporation":false,"usgs":true,"family":"Allison","given":"M.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":443431,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DiMarco, Steven F.","contributorId":15435,"corporation":false,"usgs":true,"family":"DiMarco","given":"Steven","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":443429,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yang, G.","contributorId":23348,"corporation":false,"usgs":true,"family":"Yang","given":"G.","affiliations":[],"preferred":false,"id":443430,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70034439,"text":"70034439 - 2011 - Microbial sulfate reduction and the sulfur budget for a complete section of altered oceanic basalts, IODP Hole 1256D (eastern Pacific)","interactions":[],"lastModifiedDate":"2013-04-30T15:30:37","indexId":"70034439","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Microbial sulfate reduction and the sulfur budget for a complete section of altered oceanic basalts, IODP Hole 1256D (eastern Pacific)","docAbstract":"Sulfide mineralogy and the contents and isotope compositions of sulfur were analyzed in a complete oceanic volcanic section from IODP Hole 1256D in the eastern Pacific, in order to investigate the role of microbes and their effect on the sulfur budget in altered upper oceanic crust. Basalts in the 800m thick volcanic section are affected by a pervasive low-temperature background alteration and have mean sulfur contents of 530ppm, reflecting loss of sulfur relative to fresh glass through degassing during eruption and alteration by seawater. Alteration halos along fractures average 155ppm sulfur and are more oxidized, have high SO<sub>4</sub>/&Sigma;S ratios (0.43), and lost sulfur through oxidation by seawater compared to host rocks. Although sulfur was lost locally, sulfur was subsequently gained through fixation of seawater-derived sulfur in secondary pyrite and marcasite in veins and in concentrations at the boundary between alteration halos and host rocks. Negative &delta;34S<sub>sulfide-S</sub> values (down to -30 &deg;) and low temperatures of alteration (down to ~40 &deg;C) point to microbial reduction of seawater sulfate as the process resulting in local additions of sulfide-S. Mass balance calculations indicate that 15-20% of the sulfur in the volcanic section is microbially derived, with the bulk altered volcanic section containing 940ppm S, and with &delta;34S shifted to -6.0&permil;) from the mantle value (0 &permil;). The bulk volcanic section may have gained or lost sulfur overall. The annual flux of microbial sulfur into oceanic basement based on Hole 1256D is 3-4 X10<sup>10</sup>molSyr-1, within an order of magnitude of the riverine sulfate source and the sedimentary pyrite sink. Results indicate a flux of bacterially derived sulfur that is fixed in upper ocean basement of 7-8 X 10<sup>-8</sup>molcm<sup>-2</sup>yr<sup>-1</sup> over 15m.y. This is comparable to that in open ocean sediment sites, but is one to two orders of magnitude less than for ocean margin sediments. The global annual subduction of sulfur in altered oceanic basalt lavas based on Hole 1256D is 1.5-2.0 X 10<sup>11</sup>moly<sup>-1</sup>, comparable to the subduction of sulfide in sediments, and could contribute to sediment-like sulfur isotope heterogeneities in the mantle.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth and Planetary Science Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2011.07.027","issn":"0012821X","usgsCitation":"Alt, J.C., and Shanks, W., 2011, Microbial sulfate reduction and the sulfur budget for a complete section of altered oceanic basalts, IODP Hole 1256D (eastern Pacific): Earth and Planetary Science Letters, v. 310, no. 1-2, p. 73-83, https://doi.org/10.1016/j.epsl.2011.07.027.","startPage":"73","endPage":"83","numberOfPages":"11","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":244533,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216650,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.epsl.2011.07.027"}],"volume":"310","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a565fe4b0c8380cd6d552","contributors":{"authors":[{"text":"Alt, Jeffrey C.","contributorId":70213,"corporation":false,"usgs":true,"family":"Alt","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":445781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shanks, Wayne C.","contributorId":79573,"corporation":false,"usgs":true,"family":"Shanks","given":"Wayne C.","affiliations":[],"preferred":false,"id":445782,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034017,"text":"70034017 - 2011 - Vibrational, X-ray absorption, and Mössbauer spectra of sulfate minerals from the weathered massive sulfide deposit at Iron Mountain, California","interactions":[],"lastModifiedDate":"2018-03-05T17:10:44","indexId":"70034017","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Vibrational, X-ray absorption, and Mössbauer spectra of sulfate minerals from the weathered massive sulfide deposit at Iron Mountain, California","docAbstract":"The Iron Mountain Mine Superfund site in California is a prime example of an acid mine drainage (AMD) system with well developed assemblages of sulfate minerals typical for such settings. Here we present and discuss the vibrational (infrared), X-ray absorption, and M??ssbauer spectra of a number of these phases, augmented by spectra of a few synthetic sulfates related to the AMD phases. The minerals and related phases studied in this work are (in order of increasing Fe2O3/FeO): szomolnokite, rozenite, siderotil, halotrichite, r??merite, voltaite, copiapite, monoclinic Fe2(SO4)3, Fe2(SO4)3??5H2O, kornelite, coquimbite, Fe(SO4)(OH), jarosite and rhomboclase. Fourier transform infrared spectra in the region 750-4000cm-1 are presented for all studied phases. Position of the FTIR bands is discussed in terms of the vibrations of sulfate ions, hydroxyl groups, and water molecules. Sulfur K-edge X-ray absorption near-edge structure (XANES) spectra were collected for selected samples. The feature of greatest interest is a series of weak pre-edge peaks whose position is determined by the number of bridging oxygen atoms between Fe3+ octahedra and sulfate tetrahedra. M??ssbauer spectra of selected samples were obtained at room temperature and 80K for ferric minerals jarosite and rhomboclase and mixed ferric-ferrous minerals r??merite, voltaite, and copiapite. Values of Fe2+/[Fe2++Fe3+] determined by M??ssbauer spectroscopy agree well with those determined by wet chemical analysis. The data presented here can be used as standards in spectroscopic work where spectra of well-characterized compounds are required to identify complex mixtures of minerals and related phases. ?? 2011 Elsevier B.V.","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2011.03.008","issn":"00092541","usgsCitation":"Majzlan, J., Alpers, C.N., Bender Koch, C., McCleskey, R.B., Myneni, S.B., and Neil, J.M., 2011, Vibrational, X-ray absorption, and Mössbauer spectra of sulfate minerals from the weathered massive sulfide deposit at Iron Mountain, California: Chemical Geology, v. 284, no. 3-4, p. 296-305, https://doi.org/10.1016/j.chemgeo.2011.03.008.","productDescription":"10 p.","startPage":"296","endPage":"305","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":244508,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216627,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2011.03.008"}],"country":"United States","state":"California","otherGeospatial":"Iron Mountain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.26208496093751,\n              37.431250501793585\n            ],\n            [\n              -119.26208496093751,\n              37.642509774448754\n            ],\n            [\n              -118.91876220703126,\n              37.642509774448754\n            ],\n            [\n              -118.91876220703126,\n              37.431250501793585\n            ],\n            [\n              -119.26208496093751,\n              37.431250501793585\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"284","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc256e4b08c986b32aa9d","contributors":{"authors":[{"text":"Majzlan, Juraj","contributorId":127677,"corporation":false,"usgs":false,"family":"Majzlan","given":"Juraj","email":"","affiliations":[{"id":7107,"text":"Univ. of Freiburg, Germany","active":true,"usgs":false}],"preferred":false,"id":443667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":443670,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bender Koch, Christian","contributorId":127676,"corporation":false,"usgs":false,"family":"Bender Koch","given":"Christian","email":"","affiliations":[{"id":7106,"text":"Royal Vet. and Ag. Univ, Denmark","active":true,"usgs":false}],"preferred":false,"id":443668,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":443665,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Myneni, Satish B.C.","contributorId":127678,"corporation":false,"usgs":false,"family":"Myneni","given":"Satish","email":"","middleInitial":"B.C.","affiliations":[{"id":7108,"text":"Princeton Univ.","active":true,"usgs":false}],"preferred":false,"id":443669,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Neil, John M.","contributorId":13957,"corporation":false,"usgs":false,"family":"Neil","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":443666,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70036324,"text":"70036324 - 2011 - Age, composition, and areal distribution of the Pliocene Lawlor Tuff, and three younger Pliocene tuffs, California and Nevada","interactions":[],"lastModifiedDate":"2017-09-01T10:59:16","indexId":"70036324","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Age, composition, and areal distribution of the Pliocene Lawlor Tuff, and three younger Pliocene tuffs, California and Nevada","docAbstract":"<p id=\"p-1\">The Lawlor Tuff is a widespread dacitic tephra layer produced by Plinian eruptions and ash flows derived from the Sonoma Volcanics, a volcanic area north of San Francisco Bay in the central Coast Ranges of California, USA. The younger, chemically similar Huichica tuff, the tuff of Napa, and the tuff of Monticello Road sequentially overlie the Lawlor Tuff, and were erupted from the same volcanic field. We obtain new laser-fusion and incremental-heating<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar isochron and plateau ages of 4.834 ± 0.011, 4.76 ± 0.03, ≤4.70 ± 0.03, and 4.50 ± 0.02 Ma (1 sigma), respectively, for these layers. The ages are concordant with their stratigraphic positions and are significantly older than those determined previously by the K-Ar method on the same tuffs in previous studies.</p><p id=\"p-2\">Based on offsets of the ash-flow phase of the Lawlor Tuff by strands of the eastern San Andreas fault system within the northeastern San Francisco Bay area, total offset east of the Rodgers Creek–Healdsburg fault is estimated to be in the range of 36 to 56 km, with corresponding displacement rates between 8.4 and 11.6 mm/yr over the past ∼4.83 Ma.</p><p id=\"p-3\">We identify these tuffs by their chemical, petrographic, and magnetic characteristics over a large area in California and western Nevada, and at a number of new localities. They are thus unique chronostratigraphic markers that allow correlation of marine and terrestrial sedimentary and volcanic strata of early Pliocene age for their region of fallout. The tuff of Monticello Road is identified only near its eruptive source.</p>","language":"English","publisher":"The Geological Society of America","doi":"10.1130/GES00609.1","issn":"1553040X","usgsCitation":"Sarna-Wojcicki, A.M., Deino, A., Fleck, R.J., McLaughlin, R.J., Wagner, D., Wan, E., Wahl, D.B., Hillhouse, J.W., and Perkins, M., 2011, Age, composition, and areal distribution of the Pliocene Lawlor Tuff, and three younger Pliocene tuffs, California and Nevada: Geosphere, v. 7, no. 3, p. 599-628, https://doi.org/10.1130/GES00609.1.","productDescription":"30 p.","startPage":"599","endPage":"628","numberOfPages":"30","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-021607","costCenters":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":488018,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00609.1","text":"Publisher Index Page"},{"id":246372,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218371,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/GES00609.1"}],"country":"United States","state":"California, Nevada","volume":"7","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e8f4e4b0c8380cd47fe2","contributors":{"authors":[{"text":"Sarna-Wojcicki, Andrei M. 0000-0002-0244-9149 asarna@usgs.gov","orcid":"https://orcid.org/0000-0002-0244-9149","contributorId":1046,"corporation":false,"usgs":true,"family":"Sarna-Wojcicki","given":"Andrei","email":"asarna@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":455528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deino, Alan L.","contributorId":196103,"corporation":false,"usgs":false,"family":"Deino","given":"Alan L.","affiliations":[],"preferred":false,"id":455526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fleck, Robert J. 0000-0002-3149-8249 fleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3149-8249","contributorId":1048,"corporation":false,"usgs":true,"family":"Fleck","given":"Robert","email":"fleck@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":455524,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McLaughlin, Robert J. 0000-0002-4390-2288 rjmcl@usgs.gov","orcid":"https://orcid.org/0000-0002-4390-2288","contributorId":1428,"corporation":false,"usgs":true,"family":"McLaughlin","given":"Robert","email":"rjmcl@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":455529,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wagner, David","contributorId":196135,"corporation":false,"usgs":false,"family":"Wagner","given":"David","affiliations":[],"preferred":false,"id":455527,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wan, Elmira 0000-0002-9255-112X ewan@usgs.gov","orcid":"https://orcid.org/0000-0002-9255-112X","contributorId":3434,"corporation":false,"usgs":true,"family":"Wan","given":"Elmira","email":"ewan@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":455522,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wahl, David B. 0000-0002-0451-3554 dwahl@usgs.gov","orcid":"https://orcid.org/0000-0002-0451-3554","contributorId":3433,"corporation":false,"usgs":true,"family":"Wahl","given":"David","email":"dwahl@usgs.gov","middleInitial":"B.","affiliations":[{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":455521,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hillhouse, John W. 0000-0002-1371-4622 jhillhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-1371-4622","contributorId":2618,"corporation":false,"usgs":true,"family":"Hillhouse","given":"John","email":"jhillhouse@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":455525,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Perkins, Michael","contributorId":10304,"corporation":false,"usgs":true,"family":"Perkins","given":"Michael","affiliations":[],"preferred":false,"id":455523,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70036172,"text":"70036172 - 2011 - Final report on the Seventh International Comparison of Absolute Gravimeters (ICAG 2005)","interactions":[],"lastModifiedDate":"2021-01-26T19:06:50.557819","indexId":"70036172","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2718,"text":"Metrologia","active":true,"publicationSubtype":{"id":10}},"title":"Final report on the Seventh International Comparison of Absolute Gravimeters (ICAG 2005)","docAbstract":"<p>The Bureau International des Poids et Mesures (BIPM), Sevres, France, hosted the 7th International Comparison of Absolute Gravimeters (ICAG) and the associated Relative Gravity Campaign (RGC) from August to September 2005.;ICAG 2005 was prepared and performed as a metrological pilot study, which aimed:;(1) To determine the gravity comparison reference values;;(2) To determine the offsets of the absolute gravimeters; and;(3) As a pilot study to accumulate experience for the CIPM Key Comparisons.;This document presents a complete and extensive review of the technical protocol and data processing procedures. The 1st ICAG-RGC comparison was held at the BIPM in 1980-1981 and since then meetings have been organized every 4 years.;In this paper, we present an overview of how the meeting was organized, the conditions of BIPM gravimetric sites, technical specifications, data processing strategy and an analysis of the final results. This 7th ICAG final report supersedes all previously published reports.;Readings were obtained from participating instruments, 19 absolute gravimeters and 15 relative gravimeters. Precise levelling measurements were carried out and all measurements were performed on the BIPM micro-gravity network which was specifically designed for the comparison.</p>","largerWorkTitle":"Metrologia","language":"English","publisher":"BIPM & IOP Publishing Ltd","doi":"10.1088/0026-1394/48/5/003","issn":"00261394","usgsCitation":"Jiang, Z., Francis, O., Vitushkin, L., Palinkas, V., Germak, A., Becker, M., D’Agostino, G., Amalvict, M., Bayer, R., Bilker-Koivula, M., Desogus, S., Faller, J., Falk, R., Hinderer, J., Gagnon, C., Jakob, T., Kalish, E., Kostelecky, J., Lee, C., Liard, J., Lokshyn, Y., Luck, B., Makinen, J., Mizushima, S., Le, M.N., Origlia, C., Pujol, E., Richard, P., Robertsson, L., Ruess, D., Schmerge, D., Stus, Y., Svitlov, S., Thies, S., Ullrich, C., Van Camp, M., Vitushkin, A., Ji, W., and Wilmes, H., 2011, Final report on the Seventh International Comparison of Absolute Gravimeters (ICAG 2005): Metrologia, v. 48, no. 5, p. 246-260, https://doi.org/10.1088/0026-1394/48/5/003.","productDescription":"15 p.","startPage":"246","endPage":"260","costCenters":[],"links":[{"id":496371,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://orbilu.uni.lu/handle/10993/919","text":"External Repository"},{"id":246395,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218393,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1088/0026-1394/48/5/003"}],"volume":"48","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-06-23","publicationStatus":"PW","scienceBaseUri":"505a1016e4b0c8380cd53b09","contributors":{"authors":[{"text":"Jiang, Z.","contributorId":38827,"corporation":false,"usgs":true,"family":"Jiang","given":"Z.","email":"","affiliations":[],"preferred":false,"id":454605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Francis, O.","contributorId":60007,"corporation":false,"usgs":true,"family":"Francis","given":"O.","email":"","affiliations":[],"preferred":false,"id":454612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vitushkin, L.","contributorId":94145,"corporation":false,"usgs":true,"family":"Vitushkin","given":"L.","email":"","affiliations":[],"preferred":false,"id":454626,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Palinkas, V.","contributorId":32022,"corporation":false,"usgs":true,"family":"Palinkas","given":"V.","email":"","affiliations":[],"preferred":false,"id":454600,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Germak, A.","contributorId":106740,"corporation":false,"usgs":true,"family":"Germak","given":"A.","email":"","affiliations":[],"preferred":false,"id":454631,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Becker, 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W.","contributorId":40381,"corporation":false,"usgs":true,"family":"Ji","given":"W.","email":"","affiliations":[],"preferred":false,"id":454606,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Wilmes, H.","contributorId":28109,"corporation":false,"usgs":true,"family":"Wilmes","given":"H.","email":"","affiliations":[],"preferred":false,"id":454598,"contributorType":{"id":1,"text":"Authors"},"rank":39}]}}
,{"id":70033994,"text":"70033994 - 2011 - Sulfate threshold target to control methylmercury levels in wetland ecosystems","interactions":[],"lastModifiedDate":"2012-03-12T17:21:44","indexId":"70033994","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Sulfate threshold target to control methylmercury levels in wetland ecosystems","docAbstract":"Sulfate contamination has a significant environmental implication through the stimulation of toxic hydrogen sulfide and methylmercury (MeHg) production. High levels of MeHg are a serious problem in many wetland ecosystems worldwide. In the Florida Everglades, it has been demonstrated that increasing MeHg occurrence is due to a sulfate contamination problem. A promising strategy of lowering the MeHg occurrence is to reduce the amount of sulfate entering the ecosystem. High surface water sulfate concentrations in the Everglades are mainly due to discharges from the Everglades Agricultural Area (EAA) canals. Water and total sulfur mass balances indicated that total sulfur released by soil oxidation, Lake Okeechobee and agricultural application were the major sources contributing 49,169, 35,217 and 11,775mtonsyear-1, respectively. Total sulfur loads from groundwater, levees, and atmospheric deposition contributed to a lesser extent: 4055; 5858 and 4229mtonsyear-1, respectively. Total sulfur leaving the EAA into Water Conservation Areas (WCAs) through canal discharge was estimated at 116,360mtonsyear-1, and total sulfur removed by sugarcane harvest accounted for 23,182mtonsyear-1. Furthermore, a rise in the mineral content and pH of the EAA soil over time, suggested that the current rates of sulfur application would increase as the buffer capacity of the soil increases. Therefore, a site specific numeric criterion for sulfate of 1mgL-1 was recommended for the protection of the Everglades; above this level, mercury methylation is enhanced. In parallel, sulfide concentrations in the EAA exceeded the 2??gL-1 criterion for surface water already established by the U.S. Environmental Protection Agency (EPA). ?? 2011 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.scitotenv.2011.02.030","issn":"00489697","usgsCitation":"Corrales, J., Naja, G., Dziuba, C., Rivero, R., and Orem, W., 2011, Sulfate threshold target to control methylmercury levels in wetland ecosystems: Science of the Total Environment, v. 409, no. 11, p. 2156-2162, https://doi.org/10.1016/j.scitotenv.2011.02.030.","startPage":"2156","endPage":"2162","numberOfPages":"7","costCenters":[],"links":[{"id":216747,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2011.02.030"},{"id":244633,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"409","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9dc2e4b08c986b31da6b","contributors":{"authors":[{"text":"Corrales, J.","contributorId":101113,"corporation":false,"usgs":true,"family":"Corrales","given":"J.","email":"","affiliations":[],"preferred":false,"id":443557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Naja, G.M.","contributorId":54039,"corporation":false,"usgs":true,"family":"Naja","given":"G.M.","email":"","affiliations":[],"preferred":false,"id":443555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dziuba, C.","contributorId":32756,"corporation":false,"usgs":true,"family":"Dziuba","given":"C.","email":"","affiliations":[],"preferred":false,"id":443553,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rivero, R.G.","contributorId":49209,"corporation":false,"usgs":true,"family":"Rivero","given":"R.G.","email":"","affiliations":[],"preferred":false,"id":443554,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Orem, W. 0000-0003-4990-0539","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":87335,"corporation":false,"usgs":true,"family":"Orem","given":"W.","affiliations":[],"preferred":false,"id":443556,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70004382,"text":"70004382 - 2011 - Introduction","interactions":[],"lastModifiedDate":"2021-10-11T18:09:58.096845","indexId":"70004382","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Introduction","docAbstract":"<p>Ecotoxicology is the study of the movement of environmental contaminants through ecosystems and their effects on plants and animals. Examining tissue residues of these contaminants in biota is basic to ecotoxicology, both for understanding the movement of contaminants within organisms and through food chains, and for understanding and quantifying injuries to organisms and their communities. This book provides guidance on interpreting tissue concentrations of environmental contaminants.</p><p>Tissue concentrations have long been used both to identify the cause of toxicity in animals and as a measure of the severity of toxicity. More recently, they have been incorporated into environmental models, tying together exposure, kinetics, and toxic effects. Measuring tissue concentrations is basic to studies on the kinetics of contaminants, which entails characterizing the rates of uptake and elimination in organisms, as well as redistribution (organs, lipid, and plasma) within them. Tissue concentrations are also used in ecological studies examining the movement of contaminants between organisms and within biological communities.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Environmental contaminants in biota: Interpreting tissue concentrations, Second Edition","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Taylor & Francis","doi":"10.1201/b10598-1","usgsCitation":"Beyer, W.N., and Meador, J., 2011, Introduction, chap. <i>of</i> Environmental contaminants in biota: Interpreting tissue concentrations, Second Edition, p. 1-6, https://doi.org/10.1201/b10598-1.","productDescription":"6 p.","startPage":"1","endPage":"6","ipdsId":"IP-020126","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":475319,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1201/b10598-1","text":"Publisher Index Page"},{"id":342737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"2nd Edition","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"594b85b4e4b062508e382b85","contributors":{"editors":[{"text":"Beyer, W. Nelson 0000-0002-8911-9141 nbeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8911-9141","contributorId":3301,"corporation":false,"usgs":true,"family":"Beyer","given":"W.","email":"nbeyer@usgs.gov","middleInitial":"Nelson","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":825006,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Meador, James P.","contributorId":174075,"corporation":false,"usgs":false,"family":"Meador","given":"James P.","affiliations":[],"preferred":false,"id":698991,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Beyer, W. Nelson 0000-0002-8911-9141 nbeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8911-9141","contributorId":3301,"corporation":false,"usgs":true,"family":"Beyer","given":"W.","email":"nbeyer@usgs.gov","middleInitial":"Nelson","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":698989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meador, James P.","contributorId":174075,"corporation":false,"usgs":false,"family":"Meador","given":"James P.","affiliations":[],"preferred":false,"id":698990,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034303,"text":"70034303 - 2011 - Calibration of Nu-Instruments Noblesse multicollector mass spectrometers for argon isotopic measurements using a newly developed reference gas","interactions":[],"lastModifiedDate":"2021-04-22T20:24:55.156752","indexId":"70034303","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Calibration of Nu-Instruments Noblesse multicollector mass spectrometers for argon isotopic measurements using a newly developed reference gas","docAbstract":"<p><span>The greatest challenge limiting&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar multicollection measurements is the availability of appropriate standard gasses to intercalibrate detectors. In particular, use of zoom lens ion-optics to steer and focus ion beams into a fixed detector array (i.e., Nu Instruments Noblesse) makes intercalibration of multiple detectors challenging because different ion-optic tuning conditions are required for optimal peak shape and sensitivity at different mass stations. We have found that detector efficiency and mass discrimination are affected by changes in ion-optic tuning parameters. Reliance upon an atmospheric Ar standard to calibrate the Noblesse is problematic because there is no straightforward way to relate atmospheric&nbsp;</span><sup>40</sup><span>Ar and&nbsp;</span><sup>36</sup><span>Ar to measurements of&nbsp;</span><sup>40</sup><span>Ar and&nbsp;</span><sup>39</sup><span>Ar if they are measured on separate detectors. After exploring alternative calibration approaches, we have concluded that calibration of the Noblesse is best performed using exactly the same source, detector, and ion-optic tuning settings as those used in routine&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar analysis. To accomplish this, we have developed synthetic reference gasses containing&nbsp;</span><sup>40</sup><span>Ar,&nbsp;</span><sup>39</sup><span>Ar and&nbsp;</span><sup>38</sup><span>Ar produced by mixing gasses derived from neutron-irradiated sanidine with an enriched&nbsp;</span><sup>38</sup><span>Ar spike. We present a new method for calibrating the Noblesse based on use of both atmospheric Ar and the synthetic reference gasses. By combining atmospheric Ar and synthetic reference gas in different ways, we can directly measure&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar,&nbsp;</span><sup>38</sup><span>Ar/</span><sup>39</sup><span>Ar, and&nbsp;</span><sup>36</sup><span>Ar/</span><sup>39</sup><span>Ar correction factors over ratios that vary from 0.5 to 460. These correction factors are reproducible to better than ±</span><span>&nbsp;</span><span>0.5‰ (2σ standard error) over intervals spanning ~</span><span>&nbsp;</span><span>24</span><span>&nbsp;</span><span>h but can vary systematically by ~</span><span>&nbsp;</span><span>4% over 2</span><span>&nbsp;</span><span>weeks of continuous use when electron multiplier settings are held constant. Monitoring this variation requires daily calibration of the instrument. Application of the calibration method to&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar multicollection measurements of widely used sanidine reference materials ACs-2, FCs-2, and TCs-2 demonstrate that calculated&nbsp;</span><sup>40</sup><span>Ar*/</span><sup>39</sup><span>Ar</span><sub>K</sub><span>&nbsp;can be accurately corrected to yield model&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar ages consistent with those reported by Earthtime&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar laboratories. Replicate analyses of 8–12 single-crystal sanidine ages are reproduced to within 1–2‰ (2σ standard error) under optimal analytical conditions. This calibration technique is applicable over a wide range of isotopic ratios and signal sizes. Finally, the reference gas has the added advantage of facilitating straightforward characterization of electron multiplier dead time over a wide dynamic range.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2011.09.003","issn":"00092541","usgsCitation":"Coble, M., Grove, M., and Calvert, A., 2011, Calibration of Nu-Instruments Noblesse multicollector mass spectrometers for argon isotopic measurements using a newly developed reference gas: Chemical Geology, v. 290, no. 1-2, p. 75-87, https://doi.org/10.1016/j.chemgeo.2011.09.003.","productDescription":"13 p.","startPage":"75","endPage":"87","costCenters":[],"links":[{"id":244849,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216947,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2011.09.003"}],"volume":"290","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f311e4b0c8380cd4b5a9","contributors":{"authors":[{"text":"Coble, M.A.","contributorId":52012,"corporation":false,"usgs":true,"family":"Coble","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":445156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grove, M.","contributorId":65271,"corporation":false,"usgs":true,"family":"Grove","given":"M.","email":"","affiliations":[],"preferred":false,"id":445157,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Calvert, A.T.","contributorId":49969,"corporation":false,"usgs":true,"family":"Calvert","given":"A.T.","email":"","affiliations":[],"preferred":false,"id":445155,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034183,"text":"70034183 - 2011 - Role of water in hydrocarbon generation from Type-I kerogen in Mahogany oil shale of the Green River Formation","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034183","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2958,"text":"Organic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Role of water in hydrocarbon generation from Type-I kerogen in Mahogany oil shale of the Green River Formation","docAbstract":"Hydrous and anhydrous closed-system pyrolysis experiments were conducted on a sample of Mahogany oil shale (Eocene Green River Formation) containing Type-I kerogen to determine whether the role of water had the same effect on petroleum generation as reported for Type-II kerogen in the Woodford Shale. The experiments were conducted at 330 and 350??C for 72h to determine the effects of water during kerogen decomposition to polar-rich bitumen and subsequent bitumen decomposition to hydrocarbon-rich oil. The results showed that the role of water was more significant in bitumen decomposition to oil at 350??C than in kerogen decomposition to bitumen at 330??C. At 350??C, the hydrous experiment generated 29% more total hydrocarbon product and 33% more C15+ hydrocarbons than the anhydrous experiment. This is attributed to water dissolved in the bitumen serving as a source of hydrogen to enhance thermal cracking and facilitate the expulsion of immiscible oil. In the absence of water, cross linking is enhanced in the confines of the rock, resulting in formation of pyrobitumen and molecular hydrogen. These differences are also reflected in the color and texture of the recovered rock. Despite confining liquid-water pressure being 7-9 times greater in the hydrous experiments than the confining vapor pressure in the anhydrous experiments, recovered rock from the former had a lighter color and expansion fractures parallel to the bedding fabric of the rock. The absence of these open tensile fractures in the recovered rock from the anhydrous experiments indicates that water promotes net-volume increase reactions like thermal cracking over net-volume decrease reactions like cross linking, which results in pyrobitumen. The results indicate the role of water in hydrocarbon and petroleum formation from Type-I kerogen is significant, as reported for Type-II kerogen. ?? 2010.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Organic Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.orggeochem.2010.10.004","issn":"01466380","usgsCitation":"Lewan, M.D., and Roy, S., 2011, Role of water in hydrocarbon generation from Type-I kerogen in Mahogany oil shale of the Green River Formation: Organic Geochemistry, v. 42, no. 1, p. 31-41, https://doi.org/10.1016/j.orggeochem.2010.10.004.","startPage":"31","endPage":"41","numberOfPages":"11","costCenters":[],"links":[{"id":244516,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216634,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.orggeochem.2010.10.004"}],"volume":"42","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aae75e4b0c8380cd870dd","contributors":{"authors":[{"text":"Lewan, M. D.","contributorId":46540,"corporation":false,"usgs":true,"family":"Lewan","given":"M.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":444488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, S.","contributorId":100221,"corporation":false,"usgs":true,"family":"Roy","given":"S.","email":"","affiliations":[],"preferred":false,"id":444489,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034270,"text":"70034270 - 2011 - A Web-Based Decision Support System for Assessing Regional Water-Quality Conditions and Management Actions","interactions":[],"lastModifiedDate":"2012-03-12T17:21:45","indexId":"70034270","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"A Web-Based Decision Support System for Assessing Regional Water-Quality Conditions and Management Actions","docAbstract":"The U.S. Geological Survey National Water Quality Assessment Program has completed a number of water-quality prediction models for nitrogen and phosphorus for the conterminous United States as well as for regional areas of the nation. In addition to estimating water-quality conditions at unmonitored streams, the calibrated SPAtially Referenced Regressions On Watershed attributes (SPARROW) models can be used to produce estimates of yield, flow-weighted concentration, or load of constituents in water under various land-use condition, change, or resource management scenarios. A web-based decision support infrastructure has been developed to provide access to SPARROW simulation results on stream water-quality conditions and to offer sophisticated scenario testing capabilities for research and water-quality planning via a graphical user interface with familiar controls. The SPARROW decision support system (DSS) is delivered through a web browser over an Internet connection, making it widely accessible to the public in a format that allows users to easily display water-quality conditions and to describe, test, and share modeled scenarios of future conditions. SPARROW models currently supported by the DSS are based on the modified digital versions of the 1:500,000-scale River Reach File (RF1) and 1:100,000-scale National Hydrography Dataset (medium-resolution, NHDPlus) stream networks. ?? 2011 American Water Resources Association. This article is a U.S. Government work and is in the public domain in the USA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1752-1688.2011.00573.x","issn":"1093474X","usgsCitation":"Booth, N., Everman, E., Kuo, I., Sprague, L., and Murphy, L., 2011, A Web-Based Decision Support System for Assessing Regional Water-Quality Conditions and Management Actions: Journal of the American Water Resources Association, v. 47, no. 5, p. 1136-1150, https://doi.org/10.1111/j.1752-1688.2011.00573.x.","startPage":"1136","endPage":"1150","numberOfPages":"15","costCenters":[],"links":[{"id":475399,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1752-1688.2011.00573.x","text":"Publisher Index Page"},{"id":216946,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2011.00573.x"},{"id":244848,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-08-08","publicationStatus":"PW","scienceBaseUri":"5059e315e4b0c8380cd45df4","contributors":{"authors":[{"text":"Booth, N.L.","contributorId":60815,"corporation":false,"usgs":true,"family":"Booth","given":"N.L.","email":"","affiliations":[],"preferred":false,"id":445015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Everman, E.J.","contributorId":88583,"corporation":false,"usgs":true,"family":"Everman","given":"E.J.","email":"","affiliations":[],"preferred":false,"id":445017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuo, I.-L.","contributorId":71421,"corporation":false,"usgs":true,"family":"Kuo","given":"I.-L.","email":"","affiliations":[],"preferred":false,"id":445016,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sprague, L.","contributorId":12295,"corporation":false,"usgs":true,"family":"Sprague","given":"L.","affiliations":[],"preferred":false,"id":445013,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murphy, L.","contributorId":60049,"corporation":false,"usgs":true,"family":"Murphy","given":"L.","email":"","affiliations":[],"preferred":false,"id":445014,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70036236,"text":"70036236 - 2011 - Oligocene and Miocene arc volcanism in northeastern California: evidence for post-Eocene segmentation of the subducting Farallon plate","interactions":[],"lastModifiedDate":"2013-07-23T09:31:15","indexId":"70036236","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Oligocene and Miocene arc volcanism in northeastern California: evidence for post-Eocene segmentation of the subducting Farallon plate","docAbstract":"The Warner Range in northeastern California exposes a section of Tertiary rocks over 3 km thick, offering a unique opportunity to study the long-term history of Cascade arc volcanism in an area otherwise covered by younger volcanic rocks. The oldest locally sourced volcanic rocks in the Warner Range are Oligocene (28–24 Ma) and include a sequence of basalt and basaltic andesite lava flows overlain by hornblende and pyroxene andesite pyroclastic flows and minor lava flows. Both sequences vary in thickness (0–2 km) along strike and are inferred to be the erosional remnants of one or more large, partly overlapping composite volcanoes. No volcanic rocks were erupted in the Warner Range between ca. 24 and 16 Ma, although minor distally sourced silicic tuffs were deposited during this time. Arc volcanism resumed ca. 16 Ma with eruption of basalt and basaltic andesite lavas sourced from eruptive centers 5–10 km south of the relict Oligocene centers. Post–16 Ma arc volcanism continued until ca. 8 Ma, forming numerous eroded but well-preserved shield volcanoes to the south of the Warner Range. Oligocene to Late Miocene volcanic rocks in and around the Warner Range are calc-alkaline basalts to andesites (48%–61% SiO<sub>2</sub>) that display negative Ti, Nb, and Ta anomalies in trace element spider diagrams, consistent with an arc setting. Middle Miocene lavas in the Warner Range are distinctly different in age, composition, and eruptive style from the nearby Steens Basalt, with which they were previously correlated. Middle to Late Miocene shield volcanoes south of the Warner Range consist of homogeneous basaltic andesites (53%–57% SiO<sub>2</sub>) that are compositionally similar to Oligocene rocks in the Warner Range. They are distinctly different from younger (Late Miocene to Pliocene) high-Al, low-K olivine tholeiites, which are more mafic (46%–49% SiO<sub>2</sub>), did not build large edifices, and are thought to be related to backarc extension. The Warner Range is ∼100 km east of the axis of the modern arc in northeastern California, suggesting that the Cascade arc south of modern Mount Shasta migrated west during the Late Miocene and Pliocene, while the arc north of Mount Shasta remained in essentially the same position. We interpret these patterns as evidence for an Eocene to Miocene tear in the subducting slab, with a more steeply dipping plate segment to the north, and an initially more gently dipping segment to the south that gradually steepened from the Middle Miocene to the present.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00650.1","issn":"1553040X","usgsCitation":"Colgan, J., Egger, A., John, D., Cousens, B., Fleck, R., and Henry, C., 2011, Oligocene and Miocene arc volcanism in northeastern California: evidence for post-Eocene segmentation of the subducting Farallon plate: Geosphere, v. 7, no. 3, p. 733-755, https://doi.org/10.1130/GES00650.1.","productDescription":"23 p.","startPage":"733","endPage":"755","costCenters":[{"id":671,"text":"Western Region Geology and Geophysics Science Center","active":false,"usgs":true}],"links":[{"id":246503,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218487,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/GES00650.1"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.01 ], [ -114.13,42.01 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"7","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6d5fe4b0c8380cd750db","contributors":{"authors":[{"text":"Colgan, J.P.","contributorId":71678,"corporation":false,"usgs":true,"family":"Colgan","given":"J.P.","affiliations":[],"preferred":false,"id":455030,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Egger, A.E.","contributorId":70159,"corporation":false,"usgs":true,"family":"Egger","given":"A.E.","affiliations":[],"preferred":false,"id":455029,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"John, D. A.","contributorId":43748,"corporation":false,"usgs":true,"family":"John","given":"D. A.","affiliations":[],"preferred":false,"id":455026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cousens, B.","contributorId":61683,"corporation":false,"usgs":true,"family":"Cousens","given":"B.","email":"","affiliations":[],"preferred":false,"id":455028,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fleck, R.J.","contributorId":25147,"corporation":false,"usgs":true,"family":"Fleck","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":455025,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Henry, C.D.","contributorId":58306,"corporation":false,"usgs":true,"family":"Henry","given":"C.D.","email":"","affiliations":[],"preferred":false,"id":455027,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70043010,"text":"70043010 - 2011 - Rising sea level may cause decline of fringing coral reefs","interactions":[],"lastModifiedDate":"2018-04-24T12:32:40","indexId":"70043010","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"Rising sea level may cause decline of fringing coral reefs","docAbstract":"Coral reefs are major marine ecosystems and critical resources for marine diversity and fisheries. These ecosystems are widely recognized to be at risk from a number of stressors, and added to those in the past several decades is climate change due to anthropogenically driven increases in atmospheric concentrations of greenhouse gases. Most threatening to most coral reefs are elevated sea surface temperatures and increased ocean acidity [e.g., Kleypas et al., 1999; Hoegh-Guldberg et al., 2007], but sea level rise, another consequence of climate change, is also likely to increase sedimentary processes that potentially interfere with photosynthesis, feeding, recruitment, and other key physiological processes (Figure 1). Anderson et al. [2010] argue compellingly that potential hazardous impacts to coastlines from 21st-century sea level rise are greatly underestimated, particularly because of the rapid rate of rise. The Intergovernmental Panel on Climate Change estimates that sea level will rise in the coming century (1990–2090) by 2.2–4.4 millimeters per year, when projected with little contribution from melting ice [Meehl et al., 2007]. New studies indicate that rapid melting of land ice could substantially increase the rate of sea level rise [Grinsted et al., 2009; Milne et al., 2009].","language":"English","publisher":"Wiley","doi":"10.1029/2011EO330001","usgsCitation":"Field, M.E., Ogston, A.S., and Storlazzi, C., 2011, Rising sea level may cause decline of fringing coral reefs: Eos, Transactions, American Geophysical Union, v. 92, no. 33, p. 273-274, https://doi.org/10.1029/2011EO330001.","productDescription":"2 p.","startPage":"273","endPage":"274","numberOfPages":"2","ipdsId":"IP-031228","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":475160,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011eo330001","text":"Publisher Index Page"},{"id":271980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271979,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011EO330001"}],"volume":"92","issue":"33","noUsgsAuthors":false,"publicationDate":"2011-08-16","publicationStatus":"PW","scienceBaseUri":"518a2279e4b061e1bd5334ab","contributors":{"authors":[{"text":"Field, Michael E. mfield@usgs.gov","contributorId":2101,"corporation":false,"usgs":true,"family":"Field","given":"Michael","email":"mfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":472777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ogston, Andrea S.","contributorId":12119,"corporation":false,"usgs":true,"family":"Ogston","given":"Andrea","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":472779,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":2333,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","email":"cstorlazzi@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":472778,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034234,"text":"70034234 - 2011 - Introduction to the featured collection on \"nonstationarity, hydrologic frequency analysis, and water management\"","interactions":[],"lastModifiedDate":"2012-03-12T17:21:45","indexId":"70034234","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":"Introduction to the featured collection on \"nonstationarity, hydrologic frequency analysis, and water management\"","docAbstract":"[No abstract available]","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1752-1688.2011.00551.x","issn":"1093474X","usgsCitation":"Kiang, J., Olsen, J., and Waskom, R., 2011, Introduction to the featured collection on \"nonstationarity, hydrologic frequency analysis, and water management\": Journal of the American Water Resources Association, v. 47, no. 3, p. 433-435, https://doi.org/10.1111/j.1752-1688.2011.00551.x.","startPage":"433","endPage":"435","numberOfPages":"3","costCenters":[],"links":[{"id":216879,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2011.00551.x"},{"id":244777,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-06-01","publicationStatus":"PW","scienceBaseUri":"505a3dfbe4b0c8380cd639ee","contributors":{"authors":[{"text":"Kiang, J.E.","contributorId":101058,"corporation":false,"usgs":true,"family":"Kiang","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":444799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olsen, J.R.","contributorId":81340,"corporation":false,"usgs":true,"family":"Olsen","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":444797,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waskom, R.M.","contributorId":81720,"corporation":false,"usgs":true,"family":"Waskom","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":444798,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034132,"text":"70034132 - 2011 - Changes in agricultural cropland areas between a water-surplus year and a water-deficit year impacting food security, determined using MODIS 250 m time-series data and spectral matching techniques, in the Krishna river basin (India)","interactions":[],"lastModifiedDate":"2018-02-22T16:16:51","indexId":"70034132","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Changes in agricultural cropland areas between a water-surplus year and a water-deficit year impacting food security, determined using MODIS 250 m time-series data and spectral matching techniques, in the Krishna river basin (India)","docAbstract":"<p>The objective of this study was to investigate the changes in cropland areas as a result of water availability using Moderate Resolution Imaging Spectroradiometer (MODIS) 250 m time-series data and spectral matching techniques (SMTs). The study was conducted in the Krishna River basin in India, a very large river basin with an area of 265 752 km<sup>2</sup><span>&nbsp;</span>(26 575 200 ha), comparing a water-surplus year (2000–2001) and a water-deficit year (2002–2003). The MODIS 250&nbsp;m time-series data and SMTs were found ideal for agricultural cropland change detection over large areas and provided fuzzy classification accuracies of 61–100% for various land‐use classes and 61–81% for the rain-fed and irrigated classes. The most mixing change occurred between rain-fed cropland areas and informally irrigated (e.g. groundwater and small reservoir) areas. Hence separation of these two classes was the most difficult. The MODIS 250 m-derived irrigated cropland areas for the districts were highly correlated with the Indian Bureau of Statistics data, with<span>&nbsp;</span><i>R</i><span>&nbsp;</span><sup>2</sup>-values between 0.82 and 0.86.</p><p>The change in the net area irrigated was modest, with an irrigated area of 8&nbsp;669&nbsp;881 ha during the water-surplus year, as compared with 7&nbsp;718&nbsp;900 ha during the water-deficit year. However, this is quite misleading as most of the major changes occurred in cropping intensity, such as changing from higher intensity to lower intensity (e.g. from double crop to single crop). The changes in cropping intensity of the agricultural cropland areas that took place in the water-deficit year (2002–2003) when compared with the water-surplus year (2000–2001) in the Krishna basin were: (a) 1&nbsp;078&nbsp;564 ha changed from double crop to single crop, (b) 1&nbsp;461&nbsp;177 ha changed from continuous crop to single crop, (c) 704&nbsp;172 ha changed from irrigated single crop to fallow and (d) 1&nbsp;314&nbsp;522 ha changed from minor irrigation (e.g. tanks, small reservoirs) to rain-fed. These are highly significant changes that will have strong impact on food security. Such changes may be expected all over the world in a changing climate.</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161003749485","issn":"01431161","usgsCitation":"Gumma, M., Thenkabail, P.S., Muralikrishna, I., Velpuri, N.M., Gangadhararao, P., Dheeravath, V., Biradar, C., Nalan, S., and Gaur, A., 2011, Changes in agricultural cropland areas between a water-surplus year and a water-deficit year impacting food security, determined using MODIS 250 m time-series data and spectral matching techniques, in the Krishna river basin (India): International Journal of Remote Sensing, v. 32, no. 12, p. 3495-3520, https://doi.org/10.1080/01431161003749485.","productDescription":"26 p.","startPage":"3495","endPage":"3520","numberOfPages":"26","costCenters":[],"links":[{"id":216904,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161003749485"},{"id":244805,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"12","noUsgsAuthors":false,"publicationDate":"2011-06-28","publicationStatus":"PW","scienceBaseUri":"5059f409e4b0c8380cd4bad7","contributors":{"authors":[{"text":"Gumma, Murali Krishna","contributorId":50426,"corporation":false,"usgs":true,"family":"Gumma","given":"Murali Krishna","affiliations":[],"preferred":false,"id":444246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":444252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muralikrishna, I.V.","contributorId":31234,"corporation":false,"usgs":true,"family":"Muralikrishna","given":"I.V.","email":"","affiliations":[],"preferred":false,"id":444248,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Velpuri, Naga Manohar 0000-0002-6370-1926 nvelpuri@usgs.gov","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":4441,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga","email":"nvelpuri@usgs.gov","middleInitial":"Manohar","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":444251,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gangadhararao, P.T.","contributorId":19406,"corporation":false,"usgs":true,"family":"Gangadhararao","given":"P.T.","email":"","affiliations":[],"preferred":false,"id":444247,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dheeravath, V.","contributorId":55234,"corporation":false,"usgs":true,"family":"Dheeravath","given":"V.","affiliations":[],"preferred":false,"id":444250,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Biradar, C.M.","contributorId":35563,"corporation":false,"usgs":true,"family":"Biradar","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":444249,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nalan, S.A.","contributorId":7110,"corporation":false,"usgs":true,"family":"Nalan","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":444245,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gaur, A.","contributorId":74603,"corporation":false,"usgs":true,"family":"Gaur","given":"A.","email":"","affiliations":[],"preferred":false,"id":444253,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70034299,"text":"70034299 - 2011 - Black swans, wicked problems, and science during crises","interactions":[],"lastModifiedDate":"2012-09-26T17:16:49","indexId":"70034299","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2929,"text":"Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Black swans, wicked problems, and science during crises","docAbstract":"Oceanic resources face challenges that are significant and widespread, including (but not limited to) overharvesting, climate change, selected stock collapse, coral reef decline, species extinction, pollution, and more. These challenges are the focus of much ocean science, which is helping to inform policy and guide management actions. The steady growth of research results and the emergence of new research needs have been systematically reviewed through periodic assessments, such as those of the Intergovernmental Oceanographic Commission (Vald&eacute;s et al., 2010).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Oceanography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Oceanography Society","publisherLocation":"Rockville, MD","doi":"10.5670/oceanog.2011.89","issn":"10428275","usgsCitation":"Machlis, G., and McNutt, M., 2011, Black swans, wicked problems, and science during crises: Oceanography, v. 24, no. 3, p. 318-320, https://doi.org/10.5670/oceanog.2011.89.","productDescription":"3 p.","startPage":"318","endPage":"320","numberOfPages":"3","costCenters":[],"links":[{"id":475236,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5670/oceanog.2011.89","text":"Publisher Index Page"},{"id":244783,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216885,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5670/oceanog.2011.89"}],"volume":"24","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f1dbe4b0c8380cd4ae75","contributors":{"authors":[{"text":"Machlis, G.E.","contributorId":62859,"corporation":false,"usgs":true,"family":"Machlis","given":"G.E.","affiliations":[],"preferred":false,"id":445141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McNutt, M.K.","contributorId":56068,"corporation":false,"usgs":true,"family":"McNutt","given":"M.K.","email":"","affiliations":[],"preferred":false,"id":445140,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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