{"pageNumber":"704","pageRowStart":"17575","pageSize":"25","recordCount":46666,"records":[{"id":70006083,"text":"sir20105066 - 2010 - Flood-depth frequency relations for rural streams in Alabama, 2003","interactions":[],"lastModifiedDate":"2012-02-10T00:12:01","indexId":"sir20105066","displayToPublicDate":"2011-11-29T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5066","title":"Flood-depth frequency relations for rural streams in Alabama, 2003","docAbstract":"Equations have been defined for estimating the depth of water for floods having a 67-, 50-, 20-, 10-, 4-, 2-, and 1-percent chance exceedance on rural streams in Alabama. Multiple regression analyses of streamgage data were used to define the equations. Eight basin and climatic characteristics that were computed by using a geographical information system were evaluated as independent variables to determine their statistical significance for the dependent variable, flood depth.\nDrainage area was the most statistically significant independent variable tested. Addition of other significant variables did not decrease the standard error of prediction by more than 2 percent. Regression relations, for four different hydrologic regions, were developed to estimate flood depth for rural, ungaged streams as a function of the basin drainage area. These relations are based on computed depths that correspond to the flood magnitude and frequency for 164 streamgages in Alabama and 42 streamgages in adjacent States having at least 10 years of consecutive record. These relations utilize observed flood data collected through 2003. The geologic, physiographic, and climatic variability affecting flood depth is reflected in the constant (intercept) and exponent (slope) for each regional regression equation. Average standard errors of prediction for these regression equations range from 18 to 38 percent.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105066","collaboration":"Prepared in cooperation with the Alabama Department of Transportation","usgsCitation":"Lee, K., and Hedgecock, T., 2010, Flood-depth frequency relations for rural streams in Alabama, 2003: U.S. Geological Survey Scientific Investigations Report 2010-5066, iv, 25 p., https://doi.org/10.3133/sir20105066.","productDescription":"iv, 25 p.","costCenters":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"links":[{"id":116714,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5066.jpg"},{"id":110941,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5066/","linkFileType":{"id":5,"text":"html"}}],"state":"Alabama","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89,30 ], [ -89,35 ], [ -84,35 ], [ -84,30 ], [ -89,30 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e5e4b07f02db5e6a89","contributors":{"authors":[{"text":"Lee, K.G.","contributorId":28319,"corporation":false,"usgs":true,"family":"Lee","given":"K.G.","email":"","affiliations":[],"preferred":false,"id":353779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hedgecock, T.S.","contributorId":16107,"corporation":false,"usgs":true,"family":"Hedgecock","given":"T.S.","email":"","affiliations":[],"preferred":false,"id":353778,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70006080,"text":"ofr20101169 - 2010 - Continuous tidal streamflow, water level, and specific conductance data for Union Creek and the Little Back, Middle, and Front Rivers, Savannah River Estuary, November 2008 to March 2009","interactions":[],"lastModifiedDate":"2016-12-08T14:15:33","indexId":"ofr20101169","displayToPublicDate":"2011-11-29T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1169","title":"Continuous tidal streamflow, water level, and specific conductance data for Union Creek and the Little Back, Middle, and Front Rivers, Savannah River Estuary, November 2008 to March 2009","docAbstract":"In the Water Resource Development Act of 1999, the U.S. Congress authorized the deepening of the Savannah Harbor. Additional studies were then identified by the Georgia Ports Authority and other local and regional stakeholders to determine and fully describe the potential environmental effects of deepening the channel. One need that was identified was the validation of a three-dimensional hydrodynamic model developed to evaluate mitigation scenarios for a potential harbor deepening and the effects on the Savannah River estuary. The streamflow in the estuary is very complex due to reversing tidal flows, interconnections of streams and tidal creeks, and the daily flooding and draining of the marshes. The model was calibrated using very limited streamflow data and no continuous streamflow measurements. To better characterize the streamflow dynamics and mass transport of the estuary, two index-velocity sites were instrumented with continuous acoustic velocity, water level, and specific conductance sensors on the Little Back and Middle Rivers for the 5-month period of November 2008 through March 2009. During the same period, a third acoustic velocity meter was installed on the Front River just downstream from U.S. Geological Survey streamgaging station 02198920 (Savannah River at GA 25, at Port Wentworth, Georgia) where water level and specific conductance data were being collected. A fourth index-velocity site was instrumented with continuous acoustic velocity, water level, and specific conductance sensors on Union Creek for a 2-month period starting in November 2008. In addition to monitoring the tidal cycles, streamflow measurements were made at the four index-velocity sites to develop ratings to compute continuous discharge for each site. The maximum flood (incoming) and ebb (outgoing) tides measured on Little Back River were –4,570 and 7,990 cubic feet per second, respectively. On Middle River, the maximum flood and ebb tides measured were –9,630 and 13,600 cubic feet per second, respectively. On Front River, the maximum flood and ebb tides were –34,500 and 43,700 cubic feet per second, respectively; and on Union Creek, the maximum flood and ebb tides were –2,390 and 4,610 cubic feet per second, respectively. During the 5-month instrumentation deployment, computed tidal streamflows on Little Back River ranged from –7,820 to 9,600 cubic feet per second for the flood and ebb tides, respectively. On Middle River, the computed tidal streamflows ranged from –17,500 to 22,500 cubic feet per second for the flood and ebb tides, respectively. The computed tidal streamflows on Front River ranged from –78,900 to 87,200 cubic feet per second, and from –3,850 to 6,130 cubic feet per second on Union Creek for the flood and ebb tides, respectively. The streamgages on the Little Back, Middle, and Front Rivers have continued in operation following the initial 5-month deployment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101169","collaboration":"Prepared in cooperation with the Georgia Environmental Protection Division, the South Carolina Department of Natural Resources, and the U.S. Environmental Protection Agency","usgsCitation":"Lanier, T.H., and Conrads, P., 2010, Continuous tidal streamflow, water level, and specific conductance data for Union Creek and the Little Back, Middle, and Front Rivers, Savannah River Estuary, November 2008 to March 2009: U.S. Geological Survey Open-File Report 2010-1169, vi, 25 p., https://doi.org/10.3133/ofr20101169.","productDescription":"vi, 25 p.","startPage":"i","endPage":"25","numberOfPages":"31","additionalOnlineFiles":"N","temporalStart":"2008-11-01","temporalEnd":"2009-03-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":116717,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1169.jpg"},{"id":110937,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1169/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","projection":"Universal Transverse Mercator","datum":"NAD 83","country":"United States","state":"Georgia, South Carolina","otherGeospatial":"Front River, Little Back River, Middle River, Savannah River Estuary, Union Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.43341064453125,\n              31.868227816180674\n            ],\n            [\n              -81.43341064453125,\n              32.62087018318113\n            ],\n            [\n              -80.79071044921875,\n              32.62087018318113\n            ],\n            [\n              -80.79071044921875,\n              31.868227816180674\n            ],\n            [\n              -81.43341064453125,\n              31.868227816180674\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4799e4b07f02db48fbbf","contributors":{"authors":[{"text":"Lanier, Timothy H. 0000-0001-5104-3308 thlanier@usgs.gov","orcid":"https://orcid.org/0000-0001-5104-3308","contributorId":4171,"corporation":false,"usgs":true,"family":"Lanier","given":"Timothy","email":"thlanier@usgs.gov","middleInitial":"H.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":353774,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70006075,"text":"ofr20101213 - 2010 - Southeast Regional Assessment Project for the National Climate Change and Wildlife Science Center, U.S. Geological Survey","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"ofr20101213","displayToPublicDate":"2011-11-29T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1213","title":"Southeast Regional Assessment Project for the National Climate Change and Wildlife Science Center, U.S. Geological Survey","docAbstract":"The Southeastern United States spans a broad range of physiographic settings and maintains exceptionally high levels of faunal diversity. Unfortunately, many of these ecosystems are increasingly under threat due to rapid human development, and management agencies are increasingly aware of the potential effects that climate change will have on these ecosystems. Natural resource managers and conservation planners can be effective at preserving ecosystems in the face of these stressors only if they can adapt current conservation efforts to increase the overall resilience of the system. Climate change, in particular, challenges many of the basic assumptions used by conservation planners and managers. Previous conservation planning efforts identified and prioritized areas for conservation based on the current environmental conditions, such as habitat quality, and assumed that conditions in conservation lands would be largely controlled by management actions (including no action). Climate change, however, will likely alter important system drivers (temperature, precipitation, and sea-level rise) and make it difficult, if not impossible, to maintain recent historic conditions in conservation lands into the future. Climate change will also influence the future conservation potential of non-conservation lands, further complicating conservation planning. Therefore, there is a need to develop and adapt effective conservation strategies to cope with the effects of climate and landscape change on future environmental conditions. Congress recognized this important issue and authorized the U.S. Geological Survey (USGS) National Climate Change and Wildlife Science Center (NCCWSC; http://nccw.usgs.gov/) in the Fiscal Year 2008. The NCCWSC will produce science that will help resource management agencies anticipate and adapt to climate change impacts to fish, wildlife, and their habitats. With the release of Secretarial Order 3289 on September 14, 2009, the mandate of the NCCWSC was expanded to address climate change-related impacts on all Department of the Interior (DOI) resources. The NCCWSC will establish a network of eight DOI Regional Climate Science Centers (RCSCs) that will work with a variety of partners to provide natural resource managers with tools and information that will help them anticipate and adapt conservation planning and design for projected climate change. The forecasting products produced by the RCSCs will aid fish, wildlife, and land managers in designing suitable adaptive management approaches for their programs. The DOI also is developing Landscape Conservation Cooperatives (LCCs) as science and conservation action partnerships at subregional scales. The USGS is working with the Southeast Region of the U.S. Fish and Wildlife Service (FWS) to develop science collaboration between the future Southeast RCSC and future LCCs. The NCCWSC Southeast Regional Assessment Project (SERAP) will begin to develop regional downscaled climate models, land cover change models, regional ecological models, regional watershed models, and other science tools. Models and data produced by SERAP will be used in a collaborative process between the USGS, the FWS (LCCs), State and federal partners, nongovernmental organizations, and academia to produce science at appropriate scales to answer resource management questions. The SERAP will produce an assessment of climate change, and impacts on land cover, ecosystems, and priority species in the region. The predictive tools developed by the SERAP project team will allow end users to better understand potential impacts of climate change and sea level rise on terrestrial and aquatic populations in the Southeastern United States. The SERAP capitalizes on the integration of five existing projects: (1) the Multi-State Conservation Grants Program project \"Designing Sustainable Landscapes,\" (2) the USGS multidisciplinary Science Thrust project \"Water Availability for Ecological Needs,\" (3) the USGS Southeast Pilot Project \"Climate Change in the Southeastern U.S. and its Impacts on Bird Distributions and Habitats,\" (4) a sea-level rise impacts study envisioned jointly with the National Oceanic and Atmospheric Administration (NOAA), and (5) two USGS sea-level rise impact assessment projects that address inundation hazards and provide probabilistic forecasts of coastal geomorphic change. The SERAP will expand on these existing projects and include the following tasks, which were initiated in summer 2009: * Regionally downscaled probabilistic climate-change projections * Integrated coastal assessment * Integrated terrestrial assessment * Multi-resolution assessment of potential climate change effects on biological resources: aquatic and hydrologic dynamics * Optimal conservation strategies to cope with climate change The SERAP seeks to formally integrate these tasks to aid conservation planning and design so that ecosystem management decisions can be optimized for providing desirable outcomes across a range of species and environments. The following chapters detail SERAP's efforts in providing a suite of regional climate, watershed, and landscape-change analyses and develop the interdisciplinary framework required for the biological planning phases of adaptive management and strategic conservation. The planning phase will include the identification of conservation alternatives, development of predictive models and decision support tools, and development of a template to address similar challenges and goals in other regions. The project teams will explore and develop ways to link the various ecological models arising from each component. The SERAP project team also will work closely with members of the LCCs and other partnerships throughout the life of the project to ensure that the objectives of the project meet resources mangers needs in the Southeast.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101213","usgsCitation":"Dalton, M.S., and Jones, S.A., 2010, Southeast Regional Assessment Project for the National Climate Change and Wildlife Science Center, U.S. Geological Survey: U.S. Geological Survey Open-File Report 2010-1213, v, 38 p., https://doi.org/10.3133/ofr20101213.","productDescription":"v, 38 p.","startPage":"i","endPage":"38","numberOfPages":"43","additionalOnlineFiles":"N","costCenters":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"links":[{"id":116716,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1213.jpg"},{"id":110938,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1213/","linkFileType":{"id":5,"text":"html"}}],"country":"United States;Canada;Mexico","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52c1e3fce4b0cb5a2f1b26ba","contributors":{"authors":[{"text":"Dalton, Melinda S. 0000-0002-2929-5573 msdalton@usgs.gov","orcid":"https://orcid.org/0000-0002-2929-5573","contributorId":267,"corporation":false,"usgs":true,"family":"Dalton","given":"Melinda","email":"msdalton@usgs.gov","middleInitial":"S.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":353770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Sonya A. 0000-0002-7462-8576 sajones@usgs.gov","orcid":"https://orcid.org/0000-0002-7462-8576","contributorId":1690,"corporation":false,"usgs":true,"family":"Jones","given":"Sonya","email":"sajones@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":353771,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70006040,"text":"ofr20111177 - 2010 - Report of the River Master of the Delaware River for the period December 1, 2005-November 30, 2006","interactions":[],"lastModifiedDate":"2012-02-02T00:15:59","indexId":"ofr20111177","displayToPublicDate":"2011-11-22T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1177","title":"Report of the River Master of the Delaware River for the period December 1, 2005-November 30, 2006","docAbstract":"A Decree of the Supreme Court of the United States, entered June 7, 1954, established the position of Delaware River Master within the U.S. Geological Survey (USGS). In addition, the Decree authorizes diversions of water from the Delaware River Basin and requires compensating releases from certain reservoirs, owned by New York City, to be made under the supervision and direction of the River Master. The Decree stipulates that the River Master will furnish reports to the Court, not less frequently than annually. This report is the 53rd Annual Report of the River Master of the Delaware River. It covers the 2006 River Master report year-the period from December 1, 2005, to November 30, 2006.  During the report year, precipitation in the upper Delaware River Basin was 55.03 inches (in.) or 126 percent of the long-term average. Combined storage in Pepacton, Cannonsville, and Neversink Reservoirs was above the long-term median level on December 1, 2005. Reservoir storage remained above long–term median levels throughout the report year. Delaware River operations during the year were conducted as stipulated by the Decree.  Diversions from the Delaware River Basin by New York City and New Jersey were in full compliance with the Decree. Reservoir releases were made as directed by the River Master at rates designed to meet the flow objective for the Delaware River at Montague, New Jersey, on 27 days during the report year. Releases were made at conservation rates-or rates designed to relieve thermal stress and protect the fishery and aquatic habitat in the tailwaters of the reservoirs-on all other days.  During the report year, New York City and New Jersey complied fully with the terms of the Decree, and directives and requests of the River Master.  As part of a long-term program, the quality of water in the Delaware Estuary between Trenton, New Jersey, and Reedy Island Jetty, Delaware, was monitored at various locations. Data on water temperature, specific conductance, dissolved oxygen, and pH were collected continuously by electronic instruments at four sites. In addition, selected water-quality data were collected at 19 sites on a twice-monthly basis and at 3 sites on a monthly basis.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111177","usgsCitation":"Krejmas, B.E., Paulachok, G.N., and Blanchard, S.F., 2010, Report of the River Master of the Delaware River for the period December 1, 2005-November 30, 2006: U.S. Geological Survey Open-File Report 2011-1177, vi, 79 p., https://doi.org/10.3133/ofr20111177.","productDescription":"vi, 79 p.","costCenters":[],"links":[{"id":116756,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1177.gif"},{"id":110889,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1177/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a5ee4b07f02db633b47","contributors":{"authors":[{"text":"Krejmas, Bruce E.","contributorId":102501,"corporation":false,"usgs":true,"family":"Krejmas","given":"Bruce","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":353698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paulachok, Gary N. gnpaulac@usgs.gov","contributorId":3500,"corporation":false,"usgs":true,"family":"Paulachok","given":"Gary","email":"gnpaulac@usgs.gov","middleInitial":"N.","affiliations":[],"preferred":true,"id":353696,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blanchard, Stephen F.","contributorId":54966,"corporation":false,"usgs":true,"family":"Blanchard","given":"Stephen","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":353697,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70005105,"text":"70005105 - 2010 - Enumeration of viruses and prokaryotes in deep-sea sediments and cold seeps of the Gulf of Mexico","interactions":[],"lastModifiedDate":"2012-02-02T00:15:58","indexId":"70005105","displayToPublicDate":"2011-11-20T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1371,"text":"Deep-Sea Research Part II: Topical Studies in Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Enumeration of viruses and prokaryotes in deep-sea sediments and cold seeps of the Gulf of Mexico","docAbstract":"Little is known about the distribution and abundance of viruses in deep-sea cold-seep environments. Like hydrothermal vents, seeps support communities of macrofauna that are sustained by chemosynthetic bacteria. Sediments close to these communities are hypothesized to be more microbiologically active and therefore to host higher numbers of viruses than non-seep areas. Push cores were taken at five types of Gulf of Mexico habitats at water depths below 1000 m using a remotely operated vehicle (ROV). The habitats included non-seep reference sediment, brine seeps, a microbial mat, an urchin field, and a pogonophoran worm community. Samples were processed immediately for enumeration of viruses and prokaryotes without the addition of a preservative. Prokaryote counts were an order of magnitude lower in sediments directly in contact with macrofauna (urchins, pogonophorans) compared to all other samples (10<sup>7</sup> vs. 10<sup>8</sup> cells g<sup>-1</sup> dry weight) and were highest in areas of elevated salinity (brine seeps). Viral-Like Particle (VLP) counts were lowest in the reference sediments and pogonophoran cores (10<sup>8</sup> VLP g<sup>-1</sup> dry wt), higher in brine seeps (10<sup>9</sup> VLP g<sup>-1</sup> dry wt), and highest in the microbial mats (10<sup>10</sup> VLP g<sup>-1</sup> dry wt). Virus-prokaryote ratios (VPR) ranged from &lt;5 in the reference sediment to &gt;30 in the microbial mats and &gt;60 in the urchin field. VLP counts and VPR were all significantly greater than those reported from sediments in the deep Mediterranean Sea and in most cases were higher than recent data from a cold-seep site near Japan. The high VPR suggest that greater microbial activity in or near cold-seep environments results in greater viral production and therefore higher numbers of viruses.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Deep-Sea Research Part II: Topical Studies in Oceanography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Pergamon","publisherLocation":"Oxford, United Kingdom","usgsCitation":"Kellogg, C.A., 2010, Enumeration of viruses and prokaryotes in deep-sea sediments and cold seeps of the Gulf of Mexico: Deep-Sea Research Part II: Topical Studies in Oceanography, v. 57, no. 21-23, p. 2002-2007.","productDescription":"6 p.","startPage":"2002","endPage":"2007","numberOfPages":"6","temporalStart":"2007-06-21","temporalEnd":"2007-07-02","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":204252,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":110872,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S0967064510001700","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Gulf Of Mexico;Green Canyon;Atwater Valley;Alaminos Canyon","volume":"57","issue":"21-23","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db6025e2","contributors":{"authors":[{"text":"Kellogg, Christina A. 0000-0002-6492-9455 ckellogg@usgs.gov","orcid":"https://orcid.org/0000-0002-6492-9455","contributorId":391,"corporation":false,"usgs":true,"family":"Kellogg","given":"Christina","email":"ckellogg@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":351998,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70003936,"text":"70003936 - 2010 - Reclaiming freshwater sustainability in the Cadillac Desert","interactions":[],"lastModifiedDate":"2013-03-16T19:41:34","indexId":"70003936","displayToPublicDate":"2011-11-16T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Reclaiming freshwater sustainability in the Cadillac Desert","docAbstract":"Increasing human appropriation of freshwater resources presents a tangible limit to the sustainability of cities, agriculture, and ecosystems in the western United States. Marc Reisner tackles this theme in his 1986 classic <i>Cadillac Desert: The American West and Its Disappearing Water</i>. Reisner's analysis paints a portrait of region-wide hydrologic dysfunction in the western United States, suggesting that the storage capacity of reservoirs will be impaired by sediment infilling, croplands will be rendered infertile by salt, and water scarcity will pit growing desert cities against agribusiness in the face of dwindling water resources. Here we evaluate these claims using the best available data and scientific tools. Our analysis provides strong scientific support for many of Reisner's claims, except the notion that reservoir storage is imminently threatened by sediment. More broadly, we estimate that the equivalent of nearly 76% of streamflow in the Cadillac Desert region is currently appropriated by humans, and this figure could rise to nearly 86% under a doubling of the region's population. Thus, Reisner's incisive journalism led him to the same conclusions as those rendered by copious data, modern scientific tools, and the application of a more genuine scientific method. We close with a prospectus for reclaiming freshwater sustainability in the Cadillac Desert, including a suite of recommendations for reducing region-wide human appropriation of streamflow to a target level of 60%.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of the National Academy of Sciences of the United States of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"National Academy of Sciences","publisherLocation":"Washington, D.C.","doi":"10.1073/pnas.1009734108","usgsCitation":"Sabo, J.L., Sinha, T., Bowling, L.C., Schoups, G.H., Wallender, W.W., Campana, M., Cherkauer, K., Fuller, P., Graf, W.L., Hopmans, J.W., Kominoski, J.S., Taylor, C., Trimble, S.W., Webb, R., and Wohl, E.E., 2010, Reclaiming freshwater sustainability in the Cadillac Desert: Proceedings of the National Academy of Sciences of the United States of America, v. 107, no. 50, p. 21263-21269, https://doi.org/10.1073/pnas.1009734108.","productDescription":"7 p.","startPage":"21263","endPage":"21269","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":475563,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://europepmc.org/articles/pmc3003073","text":"External Repository"},{"id":204335,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269479,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1073/pnas.1009734108"}],"country":"United States","volume":"107","issue":"50","noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"4f4e4a0ae4b07f02db5fb8dd","contributors":{"authors":[{"text":"Sabo, John L.","contributorId":39929,"corporation":false,"usgs":true,"family":"Sabo","given":"John","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":349598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sinha, Tushar","contributorId":65979,"corporation":false,"usgs":true,"family":"Sinha","given":"Tushar","email":"","affiliations":[],"preferred":false,"id":349601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowling, Laura C.","contributorId":98871,"corporation":false,"usgs":true,"family":"Bowling","given":"Laura","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":349606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schoups, Gerrit H.W.","contributorId":32289,"corporation":false,"usgs":true,"family":"Schoups","given":"Gerrit","email":"","middleInitial":"H.W.","affiliations":[],"preferred":false,"id":349597,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wallender, Wesley W.","contributorId":65598,"corporation":false,"usgs":true,"family":"Wallender","given":"Wesley","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":349600,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Campana, Michael E.","contributorId":29561,"corporation":false,"usgs":true,"family":"Campana","given":"Michael E.","affiliations":[],"preferred":false,"id":349596,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cherkauer, Keith A.","contributorId":73736,"corporation":false,"usgs":true,"family":"Cherkauer","given":"Keith A.","affiliations":[],"preferred":false,"id":349602,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fuller, Pam L. 0000-0002-9389-9144","orcid":"https://orcid.org/0000-0002-9389-9144","contributorId":91226,"corporation":false,"usgs":true,"family":"Fuller","given":"Pam L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":349604,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Graf, William L.","contributorId":92415,"corporation":false,"usgs":true,"family":"Graf","given":"William","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":349605,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hopmans, Jan W.","contributorId":100517,"corporation":false,"usgs":true,"family":"Hopmans","given":"Jan","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":349607,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kominoski, John S.","contributorId":14562,"corporation":false,"usgs":true,"family":"Kominoski","given":"John","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":349594,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Taylor, Carissa","contributorId":78078,"corporation":false,"usgs":true,"family":"Taylor","given":"Carissa","email":"","affiliations":[],"preferred":false,"id":349603,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Trimble, Stanley W.","contributorId":65088,"corporation":false,"usgs":true,"family":"Trimble","given":"Stanley","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":349599,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":1573,"corporation":false,"usgs":false,"family":"Webb","given":"Robert H.","email":"rhwebb@usgs.gov","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":349593,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Wohl, Ellen E.","contributorId":16969,"corporation":false,"usgs":true,"family":"Wohl","given":"Ellen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":349595,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70005975,"text":"ds553 - 2010 - Archive of digital Chirp sub-bottom profile data collected during USGS Cruise 07SCC01 offshore of the Chandeleur Islands, Louisiana, June 2007","interactions":[],"lastModifiedDate":"2012-02-10T00:12:01","indexId":"ds553","displayToPublicDate":"2011-11-15T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"553","title":"Archive of digital Chirp sub-bottom profile data collected during USGS Cruise 07SCC01 offshore of the Chandeleur Islands, Louisiana, June 2007","docAbstract":"In June of 2007, the U.S. Geological Survey (USGS) conducted a geophysical survey offshore of the Chandeleur Islands, Louisiana, in cooperation with the Louisiana Department of Natural Resources (LDNR) as part of the USGS Barrier Island Comprehensive Monitoring (BICM) project. This project is part of a broader study focused on Subsidence and Coastal Change (SCC). The purpose of the study was to investigate the shallow geologic framework and monitor the enviromental impacts of Hurricane Katrina (Louisiana landfall was on August 29, 2005) on the Gulf Coast's barrier island chains. This report serves as an archive of unprocessed digital 512i and 424 Chirp sub-bottom profile data, trackline maps, navigation files, Geographic Information System (GIS) files, Field Activity Collection System (FACS) logs, observer's logbook, and formal Federal Geographic Data Committee (FGDC) metadata. Gained (a relative increase in signal amplitude) digital images of the seismic profiles are also provided. Refer to the Acronyms page for expansion of acronyms and abbreviations used in this report.  The USGS St. Petersburg Coastal and Marine Science Center (SPCMSC) assigns a unique identifier to each cruise or field activity. For example, 07SCC01 tells us the data were collected in 2007 for the Subsidence and Coastal Change (SCC) study and the data were collected during the first field activity for that study in that calendar year. Refer to http://walrus.wr.usgs.gov/infobank/programs/html/definition/activity.html for a detailed description of the method used to assign the field activity identification (ID).  All Chirp systems use a signal of continuously varying frequency; the Chirp systems used during this survey produce high resolution, shallow penetration profile images beneath the seafloor. The towfish is a sound source and receiver, which is typically towed 1 - 2 m below the sea surface. The acoustic energy is reflected at density boundaries (such as the seafloor or sediment layers beneath the seafloor), detected by a receiver, and recorded by a PC-based seismic acquisition system. This process is repeated at timed intervals (for example, 0.125 s) and recorded for specific intervals of time (for example, 50 ms). In this way, a two-dimensional vertical image of the shallow geologic structure beneath the ship track is produced. Figure 1 displays the acquisition geometry. Refer to table 1 for a summary of acquisition parameters. See the digital FACS equipment log (11-KB PDF) for details about the acquisition equipment used. Table 2 lists trackline statistics. Scanned images of the handwritten FACS logs and handwritten science logbook (449-KB PDF) are also provided.  The archived trace data are in standard Society of Exploration Geophysicists (SEG) SEG-Y rev 1 format (Norris and Faichney, 2002); ASCII character encoding is used for the first 3,200 bytes of the card image header instead of the SEG-Y rev 0 (Barry and others, 1975) EBCDIC format. The SEG-Y files may be downloaded and processed with commercial or public domain software such as Seismic Unix (SU) (Cohen and Stockwell, 2010). See the How To Download SEG-Y Data page for download instructions. The web version of this archive does not contain the SEG-Y trace files. These files are very large and would require extremely long download times. To obtain the complete DVD archive, contact USGS Information at 1-888-ASK-USGS or infoservices@usgs.gov. The printable profiles provided here are GIF images that were processed and gained using SU software; refer to the Software page for links to example SU processing scripts and USGS software for viewing the SEG-Y files (Zihlman, 1992). The processed SEG-Y data were also exported to Chesapeake Technology, Inc. (CTI) SonarWeb software to produce an interactive version of the profile that allows the user to obtain a geographic location and depth from the profile for a given cursor position. This information is displayed in the status bar of the browser.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds553","usgsCitation":"Forde, A.S., Dadisman, S.V., Flocks, J.G., and Wiese, D.S., 2010, Archive of digital Chirp sub-bottom profile data collected during USGS Cruise 07SCC01 offshore of the Chandeleur Islands, Louisiana, June 2007: U.S. Geological Survey Data Series 553, HTML Document, https://doi.org/10.3133/ds553.","productDescription":"HTML Document","temporalStart":"2007-06-01","temporalEnd":"2007-06-30","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116415,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_553.bmp"},{"id":110838,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/553/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Louisiana","otherGeospatial":"Chandeleur Islands;Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.33333333333333,29.333333333333332 ], [ -89.33333333333333,30.166666666666668 ], [ -88.5,30.166666666666668 ], [ -88.5,29.333333333333332 ], [ -89.33333333333333,29.333333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac5e4b07f02db679bf3","contributors":{"authors":[{"text":"Forde, Arnell S. 0000-0002-5581-2255 aforde@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":376,"corporation":false,"usgs":true,"family":"Forde","given":"Arnell","email":"aforde@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":353574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dadisman, Shawn V. sdadisman@usgs.gov","contributorId":2207,"corporation":false,"usgs":true,"family":"Dadisman","given":"Shawn","email":"sdadisman@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":353576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":353575,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":353577,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70005966,"text":"ds516 - 2010 - Total mercury, methylmercury, and selected elements in soils of the Fishing Brook watershed, Hamilton County, New York, and the McTier Creek watershed, Aiken County, South Carolina, 2008","interactions":[],"lastModifiedDate":"2019-08-08T11:24:16","indexId":"ds516","displayToPublicDate":"2011-11-15T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"516","title":"Total mercury, methylmercury, and selected elements in soils of the Fishing Brook watershed, Hamilton County, New York, and the McTier Creek watershed, Aiken County, South Carolina, 2008","docAbstract":"Mercury is an element of on-going concern for human and aquatic health. Mercury sequestered in upland and wetland soils represents a source that may contribute to mercury contamination in sensitive ecosystems. An improved understanding of mercury cycling in stream ecosystems requires identification and quantification of mercury speciation and transport dynamics in upland and wetland soils within a watershed. This report presents data for soils collected in 2008 from two small watersheds in New York and South Carolina. In New York, 163 samples were taken from multiple depths or soil horizons at 70 separate locations near Fishing Brook, located in Hamilton County. At McTier Creek, in Aiken County, South Carolina, 81 samples from various soil horizons or soil depths were collected from 24 locations. Sample locations within each watershed were selected to characterize soil geochemistry in distinct land-cover compartments. Soils were analyzed for total mercury, selenium, total and carbonate carbon, and 42 other elements. A subset of the samples was also analyzed for methylmercury.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds516","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Woodruff, L.G., Cannon, W.F., Knightes, C.D., Chapelle, F.H., Bradley, P.M., Burns, D.A., Brigham, M.E., and Lowery, M.A., 2010, Total mercury, methylmercury, and selected elements in soils of the Fishing Brook watershed, Hamilton County, New York, and the McTier Creek watershed, Aiken County, South Carolina, 2008: U.S. Geological Survey Data Series 516, iv, 10 p., https://doi.org/10.3133/ds516.","productDescription":"iv, 10 p.","temporalStart":"2008-09-01","temporalEnd":"2008-12-31","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":116407,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_516.jpg"},{"id":110831,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/516/","linkFileType":{"id":5,"text":"html"}}],"projection":"Albers","datum":"NAD 83","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.65,33.7 ], [ -81.65,44.03333333333333 ], [ -74.25,44.03333333333333 ], [ -74.25,33.7 ], [ -81.65,33.7 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ee4b07f02db6281e8","contributors":{"authors":[{"text":"Woodruff, Laurel G. 0000-0002-2514-9923 woodruff@usgs.gov","orcid":"https://orcid.org/0000-0002-2514-9923","contributorId":2224,"corporation":false,"usgs":true,"family":"Woodruff","given":"Laurel","email":"woodruff@usgs.gov","middleInitial":"G.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":353547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cannon, William F. 0000-0002-2699-8118 wcannon@usgs.gov","orcid":"https://orcid.org/0000-0002-2699-8118","contributorId":1883,"corporation":false,"usgs":true,"family":"Cannon","given":"William","email":"wcannon@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":353546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knightes, Christopher D.","contributorId":32666,"corporation":false,"usgs":true,"family":"Knightes","given":"Christopher","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":353548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chapelle, Francis H. chapelle@usgs.gov","contributorId":1350,"corporation":false,"usgs":true,"family":"Chapelle","given":"Francis","email":"chapelle@usgs.gov","middleInitial":"H.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353544,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353542,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burns, Douglas A. 0000-0001-6516-2869 daburns@usgs.gov","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":1237,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"daburns@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353543,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brigham, Mark E. 0000-0001-7412-6800 mbrigham@usgs.gov","orcid":"https://orcid.org/0000-0001-7412-6800","contributorId":1840,"corporation":false,"usgs":true,"family":"Brigham","given":"Mark","email":"mbrigham@usgs.gov","middleInitial":"E.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":353545,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lowery, Mark A.","contributorId":77872,"corporation":false,"usgs":true,"family":"Lowery","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":353549,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70005974,"text":"ds563 - 2010 - Archive of side scan sonar and swath bathymetry data collected during USGS cruise 10CCT01 offshore of Cat Island, Gulf Islands National Seashore, Mississippi, March 2010","interactions":[],"lastModifiedDate":"2012-02-10T00:12:01","indexId":"ds563","displayToPublicDate":"2011-11-15T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"563","title":"Archive of side scan sonar and swath bathymetry data collected during USGS cruise 10CCT01 offshore of Cat Island, Gulf Islands National Seashore, Mississippi, March 2010","docAbstract":"In March of 2010, the U.S. Geological Survey (USGS) conducted geophysical surveys east of Cat Island, Mississippi (fig. 1). The efforts were part of the USGS Gulf of Mexico Science Coordination partnership with the U.S. Army Corps of Engineers (USACE) to assist the Mississippi Coastal Improvements Program (MsCIP) and the Northern Gulf of Mexico (NGOM) Ecosystem Change and Hazards Susceptibility Project by mapping the shallow geological stratigraphic framework of the Mississippi Barrier Island Complex.  These geophysical surveys will provide the data necessary for scientists to define, interpret, and provide baseline bathymetry and seafloor habitat for this area and to aid scientists in predicting future geomorpholocial changes of the islands with respect to climate change, storm impact, and sea-level rise. Furthermore, these data will provide information for barrier island restoration, particularly in Camille Cut, and provide protection for the historical Fort Massachusetts. For more information refer to http://ngom.usgs.gov/gomsc/mscip/index.html.  This report serves as an archive of the processed swath bathymetry and side scan sonar data (SSS). Data products herein include gridded and interpolated surfaces, surface images, and x,y,z data products for both swath bathymetry and side scan sonar imagery. Additional files include trackline maps, navigation files, GIS files, Field Activity Collection System (FACS) logs, and formal FGDC metadata. Scanned images of the handwritten FACS logs and digital FACS logs are also provided as PDF files. Refer to the Acronyms page for expansion of acronyms and abbreviations used in this report or hold the cursor over an acronym for a pop-up explanation.  The USGS St. Petersburg Coastal and Marine Science Center assigns a unique identifier to each cruise or field activity. For example, 10CCT01 tells us the data were collected in 2010 for the Coastal Change and Transport (CCT) study and the data were collected during the first field activity for that project in that calendar year. Refer to http://walrus.wr.usgs.gov/infobank/programs/html/definition/activity.html for a detailed description of the method used to assign the field activity ID.  Data were collected using a 26-foot (ft) Glacier Bay Catamaran. Side scan sonar and interferometric swath bathymetry data were collected simultaneously along the tracklines. The side scan sonar towfish was towed off the port side just slightly behind the vessel, close to the seafloor. The interferometric swath transducer was sled-mounted on a rail attached between the catamaran hulls. During the survey the sled is secured into position. Navigation was acquired with a CodaOctopus Octopus F190 Precision Attitude and Positioning System and differentially corrected with OmniSTAR. See the digital FACS equipment log for details about the acquisition equipment used. Both raw datasets were stored digitally and processed using CARIS HIPS and SIPS software at the USGS St. Petersburg Coastal and Marine Science Center. For more information on processing refer to the Equipment and Processing page. Post-processing of the swath dataset revealed a motion artifact that is attributed to movement of the pole that the swath transducers are attached to in relation to the boat. The survey took place in the winter months, in which strong winds and rough waves contributed to a reduction in data quality. The rough seas contributed to both the movement of the pole and the very high noise base seen in the raw amplitude data of the side scan sonar. Chirp data were also collected during this survey and are archived separately.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds563","collaboration":"Jacobs Technology Inc.","usgsCitation":"DeWitt, N.T., Flocks, J.G., Pfeiffer, W.R., and Wiese, D.S., 2010, Archive of side scan sonar and swath bathymetry data collected during USGS cruise 10CCT01 offshore of Cat Island, Gulf Islands National Seashore, Mississippi, March 2010: U.S. Geological Survey Data Series 563, HTML Document, https://doi.org/10.3133/ds563.","productDescription":"HTML Document","temporalStart":"2010-03-01","temporalEnd":"2010-03-31","costCenters":[{"id":187,"text":"Coastal and Marine Science Center","active":false,"usgs":true}],"links":[{"id":110836,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/563/","linkFileType":{"id":5,"text":"html"}},{"id":116417,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_563.bmp"}],"country":"United States","state":"Mississippi","otherGeospatial":"Cat Island;Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.08333333333333,30.166666666666668 ], [ -89.08333333333333,30.333333333333332 ], [ -88.91666666666667,30.333333333333332 ], [ -88.91666666666667,30.166666666666668 ], [ -89.08333333333333,30.166666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac0e4b07f02db676d4c","contributors":{"authors":[{"text":"DeWitt, Nancy T. 0000-0002-2419-4087 ndewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-2419-4087","contributorId":4095,"corporation":false,"usgs":true,"family":"DeWitt","given":"Nancy","email":"ndewitt@usgs.gov","middleInitial":"T.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":353573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":353570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pfeiffer, William R. wpfeiffer@usgs.gov","contributorId":3725,"corporation":false,"usgs":true,"family":"Pfeiffer","given":"William","email":"wpfeiffer@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":353572,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":353571,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70005942,"text":"fs20103101 - 2010 - Extreme drought to extreme floods: summary of hydrologic conditions in Georgia, 2009","interactions":[],"lastModifiedDate":"2016-12-07T10:39:20","indexId":"fs20103101","displayToPublicDate":"2011-11-14T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3101","title":"Extreme drought to extreme floods: summary of hydrologic conditions in Georgia, 2009","docAbstract":"The United States Geological Survey (USGS) Georgia Water Science Center (WSC) maintains a long-term hydrologic monitoring network of more than 317 real-time streamgages, more than 180 groundwater wells of which 31 are real-time, and 10 lake-level monitoring stations. 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F.","email":"mfpeck@usgs.gov","affiliations":[],"preferred":false,"id":353503,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70005904,"text":"ofr20111282 - 2010 - Evaluation of geodetic and geologic datasets in the Northern Walker Lane-Summary and recommendations of the Workshop","interactions":[],"lastModifiedDate":"2012-02-10T00:12:01","indexId":"ofr20111282","displayToPublicDate":"2011-11-08T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1282","title":"Evaluation of geodetic and geologic datasets in the Northern Walker Lane-Summary and recommendations of the Workshop","docAbstract":"The Northern Walker Lane comprises a complex network of active faults in northwestern Nevada and northeastern California bound on the west by the Sierra Nevada and on the east by the extensional Basin and Range Province. Because deformation is distributed across sets of discontinuous faults, it is particularly challenging to integrate geologic and geodetic data in the NWL to assess the region's seismic hazard. Recent GPS measurements show that roughly one centimeter per year of relative displacement is accumulating across a zone about 100 km wide at the latitude of Reno, Nevada, but it is not clear where or how much of this strain might ultimately be released in damaging earthquakes. Despite decades of work in the region, the sum of documented late Pleistocene to recent slip rates is distinctly less than the GPS-measured relative displacement.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111282","collaboration":"Supported by the USGS Earthquake Hazards Program","usgsCitation":"Briggs, R., and Hammond, W.C., 2010, Evaluation of geodetic and geologic datasets in the Northern Walker Lane-Summary and recommendations of the Workshop: U.S. Geological Survey Open-File Report 2011-1282, iv, 20 p.; Appendices, https://doi.org/10.3133/ofr20111282.","productDescription":"iv, 20 p.; Appendices","onlineOnly":"Y","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":116487,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1282.png"},{"id":94690,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1282/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California;Nevada","otherGeospatial":"Northern Walker Lane","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122,38 ], [ -122,41 ], [ -118,41 ], [ -118,38 ], [ -122,38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a08e4b07f02db5f9d97","contributors":{"authors":[{"text":"Briggs, Richard W.","contributorId":94027,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard W.","affiliations":[],"preferred":false,"id":353451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hammond, William C.","contributorId":73735,"corporation":false,"usgs":true,"family":"Hammond","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":353450,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70003402,"text":"70003402 - 2010 - Simultaneous modeling of habitat suitability, occupancy, and relative abundance: African elephants in Zimbabwe","interactions":[],"lastModifiedDate":"2014-08-12T10:10:27","indexId":"70003402","displayToPublicDate":"2011-11-03T00:00:00","publicationYear":"2010","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":"Simultaneous modeling of habitat suitability, occupancy, and relative abundance: African elephants in Zimbabwe","docAbstract":"The recent development of statistical models such as dynamic site occupancy models provides the opportunity to address fairly complex management and conservation problems with relatively simple models. However, surprisingly few empirical studies have simultaneously modeled habitat suitability and occupancy status of organisms over large landscapes for management purposes. Joint modeling of these components is particularly important in the context of management of wild populations, as it provides a more coherent framework to investigate the population dynamics of organisms in space and time for the application of management decision tools. We applied such an approach to the study of water hole use by African elephants in Hwange National Park, Zimbabwe. Here we show how such methodology may be implemented and derive estimates of annual transition probabilities among three dry-season states for water holes: (1) unsuitable state (dry water holes with no elephants); (2) suitable state (water hole with water) with low abundance of elephants; and (3) suitable state with high abundance of elephants. We found that annual rainfall and the number of neighboring water holes influenced the transition probabilities among these three states. Because of an increase in elephant densities in the park during the study period, we also found that transition probabilities from low abundance to high abundance states increased over time. The application of the joint habitat&ndash;occupancy models provides a coherent framework to examine how habitat suitability and factors that affect habitat suitability influence the distribution and abundance of organisms. We discuss how these simple models can further be used to apply structured decision-making tools in order to derive decisions that are optimal relative to specified management objectives. The modeling framework presented in this paper should be applicable to a wide range of existing data sets and should help to address important ecological, conservation, and management problems that deal with occupancy, relative abundance, and habitat suitability.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","doi":"10.1890/09-0276.1","usgsCitation":"Martin, J., Chamaille-Jammes, S., Nichols, J., Fritz, H., Hines, J., Fonnesbeck, C.J., MacKenzie, D.I., and Bailey, L., 2010, Simultaneous modeling of habitat suitability, occupancy, and relative abundance: African elephants in Zimbabwe: Ecological Applications, v. 20, no. 4, p. 1173-1182, https://doi.org/10.1890/09-0276.1.","productDescription":"9 p.","startPage":"1173","endPage":"1182","numberOfPages":"10","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":204364,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/09-0276.1"}],"country":"Zimbabwe","otherGeospatial":"Hwange National Park","volume":"20","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f6e4b07f02db5f1745","contributors":{"authors":[{"text":"Martin, Julien 0000-0002-7375-129X julienmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":5785,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","email":"julienmartin@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":347151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chamaille-Jammes, Simon","contributorId":18227,"corporation":false,"usgs":true,"family":"Chamaille-Jammes","given":"Simon","affiliations":[],"preferred":false,"id":347152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":347149,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fritz, Herve","contributorId":34777,"corporation":false,"usgs":true,"family":"Fritz","given":"Herve","email":"","affiliations":[],"preferred":false,"id":347153,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hines, James E. jhines@usgs.gov","contributorId":3506,"corporation":false,"usgs":true,"family":"Hines","given":"James E.","email":"jhines@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":347150,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fonnesbeck, Christopher J.","contributorId":72474,"corporation":false,"usgs":true,"family":"Fonnesbeck","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":347154,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"MacKenzie, Darryl I.","contributorId":94436,"corporation":false,"usgs":true,"family":"MacKenzie","given":"Darryl","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":347156,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bailey, Larissa L.","contributorId":93183,"corporation":false,"usgs":true,"family":"Bailey","given":"Larissa L.","affiliations":[],"preferred":false,"id":347155,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70003581,"text":"70003581 - 2010 - Satellite tracking reveals habitat use by juvenile green sea turtles Chelonia mydas in the Everglades, Florida, USA","interactions":[],"lastModifiedDate":"2012-02-02T00:15:58","indexId":"70003581","displayToPublicDate":"2011-10-28T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Satellite tracking reveals habitat use by juvenile green sea turtles Chelonia mydas in the Everglades, Florida, USA","docAbstract":"We tracked the movements of 6 juvenile green sea turtles captured in coastal areas of southwest Florida within Everglades National Park (ENP) using satellite transmitters for periods of 27 to 62 d in 2007 and 2008 (mean &plusmn; SD: 47.7 &plusmn; 12.9 d). Turtles ranged in size from 33.4 to 67.5 cm straight carapace length (45.7 &plusmn; 12.9 cm) and 4.4 to 40.8 kg in mass (16.0 &plusmn; 13.8 kg). These data represent the first satellite tracking data gathered on juveniles of this endangered species at this remote study site, which may represent an important developmental habitat and foraging ground. Satellite tracking results suggested that these immature turtles were resident for several months very close to capture and release sites, in waters from 0 to 10 m in depth. Mean home range for this springtime tracking period as represented by minimum convex polygon (MCP) was 1004.9 &plusmn; 618.8 km<sup>2</sup> (range 374.1 to 2060.1 km<sup>2</sup>), with 4 of 6 individuals spending a significant proportion of time within the ENP boundaries in 2008 in areas with dense patches of marine algae. Core use areas determined by 50% kernel density estimates (KDE) ranged from 5.0 to 54.4 km2, with a mean of 22.5 &plusmn; 22.1 km2. Overlap of 50% KDE plots for 6 turtles confirmed use of shallow-water nearshore habitats =0.6 m deep within the park boundary. Delineating specific habitats used by juvenile green turtles in this and other remote coastal areas with protected status will help conservation managers to prioritize their efforts and increase efficacy in protecting endangered species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Endangered Species Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Inter-Research","usgsCitation":"Hart, K.M., and Fujisaki, I., 2010, Satellite tracking reveals habitat use by juvenile green sea turtles Chelonia mydas in the Everglades, Florida, USA: Endangered Species Research, v. 11, p. 221-232.","productDescription":"p. 221-232","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":94463,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://sofia.usgs.gov/publications/papers/habuse_turtles/Hart_Fujisaki_2010_ESR.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":204546,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ee4b07f02db5fdc26","contributors":{"authors":[{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":347834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fujisaki, Ikuko","contributorId":31108,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":347835,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70003538,"text":"70003538 - 2010 - Fine-scale population genetic structure in Alaskan Pacific halibut (<i>Hippoglossus stenolepis</i>)","interactions":[],"lastModifiedDate":"2021-01-12T14:05:44.239712","indexId":"70003538","displayToPublicDate":"2011-10-14T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Fine-scale population genetic structure in Alaskan Pacific halibut (<i>Hippoglossus stenolepis</i>)","docAbstract":"Pacific halibut collected in the Aleutian Islands, Bering Sea and Gulf of Alaska were used to test the hypothesis of genetic panmixia for this species in Alaskan marine waters. Nine microsatellite loci and sequence data from the mitochondrial (mtDNA) control region were analyzed. Eighteen unique mtDNA haplotypes were found with no evidence of geographic population structure. Using nine microsatellite loci, significant heterogeneity was detected between Aleutian Island Pacific halibut and fish from the other two regions (<i>F</i>ST range = 0.007&ndash;0.008). Significant <i>F</i>ST values represent the first genetic evidence of divergent groups of halibut in the central and western Aleutian Archipelago. No significant genetic differences were found between Pacific halibut in the Gulf of Alaska and the Bering Sea leading to questions about factors contributing to separation of Aleutian halibut. Previous studies have reported Aleutian oceanographic conditions at deep inter-island passes leading to ecological discontinuity and unique community structure east and west of Aleutian passes. Aleutian Pacific halibut genetic structure may result from oceanographic transport mechanisms acting as partial barriers to gene flow with fish from other Alaskan waters.","language":"English","publisher":"Springer","doi":"10.1007/s10592-009-9943-8","usgsCitation":"Nielsen, J.L., Graziano, S.L., and Seitz, A.C., 2010, Fine-scale population genetic structure in Alaskan Pacific halibut (<i>Hippoglossus stenolepis</i>): Conservation Genetics, v. 11, no. 3, p. 999-1012, https://doi.org/10.1007/s10592-009-9943-8.","productDescription":"14 p.","startPage":"999","endPage":"1012","costCenters":[{"id":115,"text":"Alaska Science Center Biology","active":false,"usgs":true}],"links":[{"id":382097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Aleutian Islands;Bering Sea;Gulf Of Alaska","volume":"11","issue":"3","noUsgsAuthors":false,"publicationDate":"2009-06-04","publicationStatus":"PW","scienceBaseUri":"4f4e499fe4b07f02db5bcea5","contributors":{"authors":[{"text":"Nielsen, Jennifer L.","contributorId":43722,"corporation":false,"usgs":true,"family":"Nielsen","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":808021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graziano, Sara L.","contributorId":22189,"corporation":false,"usgs":true,"family":"Graziano","given":"Sara","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":808022,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seitz, Andrew C.","contributorId":156324,"corporation":false,"usgs":true,"family":"Seitz","given":"Andrew","email":"","middleInitial":"C.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":808023,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70005653,"text":"70005653 - 2010 - Phylogeography of declining relict and lowland leopard frogs in the desert Southwest of North America","interactions":[],"lastModifiedDate":"2021-02-02T15:36:12.536339","indexId":"70005653","displayToPublicDate":"2011-10-05T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2515,"text":"Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Phylogeography of declining relict and lowland leopard frogs in the desert Southwest of North America","docAbstract":"<p><span>We investigated the phylogeography of the closely related relict leopard frog&nbsp;</span><i>Rana onca</i><span>&nbsp;(=</span><i>Lithobates onca</i><span>) and lowland leopard frog&nbsp;</span><i>Rana yavapaiensis</i><span>&nbsp;(=</span><i>Lithobates yavapaiensis</i><span>) – two declining anurans from the warm‐desert regions of south‐western North America. We used sequence data from mitochondrial DNA (mtDNA) to assess 276 individuals representing 30 sites from across current distributions. Our analysis supports a previously determined phylogenetic break between these taxa, and we found no admixing of&nbsp;</span><i>R. onca</i><span>&nbsp;and&nbsp;</span><i>R. yavapaiensis</i><span>&nbsp;haplotypes within our extensive sampling of sites. Our phylogeographic assessment, however, further divided&nbsp;</span><i>R. yavapaiensis</i><span>&nbsp;into two distinct mtDNA lineages, one representing populations across Arizona and northern Mexico and the other a newly discovered population within the western Grand Canyon, Arizona. Estimates of sequence evolution indicate a possible Early Pleistocene divergence of&nbsp;</span><i>R. onca</i><span>&nbsp;and&nbsp;</span><i>R. yavapaiensis</i><span>, followed by a Middle Pleistocene separation of the western Grand Canyon population of&nbsp;</span><i>R. yavapaiensis</i><span>&nbsp;from the main&nbsp;</span><i>R. yavapaiensis</i><span>&nbsp;clade. Phylogeographic and demographic analyses indicate population or range expansion for&nbsp;</span><i>R. yavapaiensis</i><span>&nbsp;within its core distribution that appears to predate the latest glacial maximum. Species distribution models under current and latest glacial climatic conditions suggest that&nbsp;</span><i>R. onca</i><span>&nbsp;and&nbsp;</span><i>R. yavapaiensis</i><span>&nbsp;may not have greatly shifted ranges.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1469-7998.2009.00667.x","usgsCitation":"Olah-Hemmings, V., Jaeger, J., Sredl, M., Schlaepfer, M.A., Jennings, R., Drost, C., Bradford, D., and Riddle, B., 2010, Phylogeography of declining relict and lowland leopard frogs in the desert Southwest of North America: Journal of Zoology, v. 280, no. 4, p. 343-354, https://doi.org/10.1111/j.1469-7998.2009.00667.x.","productDescription":"12 p.","startPage":"343","endPage":"354","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":382884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Mexico","state":"Arizona, Nevada, Utah, New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116,27 ], [ -116,39 ], [ -108,39 ], [ -108,27 ], [ -116,27 ] ] ] } } ] }","volume":"280","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-03-20","publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db685cc6","contributors":{"authors":[{"text":"Olah-Hemmings, V.","contributorId":95190,"corporation":false,"usgs":true,"family":"Olah-Hemmings","given":"V.","email":"","affiliations":[],"preferred":false,"id":353021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaeger, J.R.","contributorId":82818,"corporation":false,"usgs":true,"family":"Jaeger","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":353018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sredl, M.J.","contributorId":32290,"corporation":false,"usgs":true,"family":"Sredl","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":353016,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schlaepfer, Martin A.","contributorId":44881,"corporation":false,"usgs":true,"family":"Schlaepfer","given":"Martin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":353017,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jennings, R.D.","contributorId":92191,"corporation":false,"usgs":true,"family":"Jennings","given":"R.D.","email":"","affiliations":[],"preferred":false,"id":353020,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Drost, C.A.","contributorId":99692,"corporation":false,"usgs":true,"family":"Drost","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":353023,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bradford, D.F.","contributorId":97239,"corporation":false,"usgs":true,"family":"Bradford","given":"D.F.","email":"","affiliations":[],"preferred":false,"id":353022,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Riddle, B.R.","contributorId":91615,"corporation":false,"usgs":true,"family":"Riddle","given":"B.R.","email":"","affiliations":[],"preferred":false,"id":353019,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70003582,"text":"70003582 - 2010 - Physiological response of wild dugongs (<i>Dugong dugon</i>) to out-of-water sampling for health assessment","interactions":[],"lastModifiedDate":"2021-01-08T18:10:46.637327","indexId":"70003582","displayToPublicDate":"2011-10-05T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":869,"text":"Aquatic Mammals","active":true,"publicationSubtype":{"id":10}},"title":"Physiological response of wild dugongs (<i>Dugong dugon</i>) to out-of-water sampling for health assessment","docAbstract":"The dugong (<i>Dugong dugon</i>) is a vulnerable marine mammal with large populations living in urban Queensland waters. A mark-recapture program for wild dugongs has been ongoing in southern Queensland since 2001. This program has involved capture and in-water sampling of more than 700 dugongs where animals have been held at the water surface for 5 min to be gene-tagged, measured, and biopsied. In 2008, this program expanded to examine more comprehensively body condition, reproductive status, and the health of wild dugongs in Moreton Bay. Using Sea World's research vessel, captured dugongs were lifted onto a boat and sampled out-of-water to obtain accurate body weights and morphometrics, collect blood and urine samples for baseline health parameters and hormone profiles, and ultrasound females for pregnancy status. In all, 30 dugongs, including two pregnant females, were sampled over 10 d and restrained on deck for up to 55 min each while biological data were collected. Each of the dugongs had their basic temperature-heart rate-respiration (THR) monitored throughout their period of handling, following protocols developed for the West Indian manatee (<i>Trichechus manatus</i>). This paper reports on the physiological response of captured dugongs during this out-of-water operation as indicated by their vital signs and the suitability of the manatee monitoring protocols to this related sirenian species. A recommendation is made that the range of vital signs of these wild dugongs be used as benchmark criteria of normal parameters for other studies that intend to sample dugongs out-of-water.","language":"English","publisher":"European Association for Aquatic Mammals","doi":"10.1578/AM.36.1.2010.46","usgsCitation":"Lanyon, J., Sneath, H.L., Long, T., and Bonde, R.K., 2010, Physiological response of wild dugongs (<i>Dugong dugon</i>) to out-of-water sampling for health assessment: Aquatic Mammals, v. 36, no. 1, p. 46-58, https://doi.org/10.1578/AM.36.1.2010.46.","productDescription":"13 p.","startPage":"46","endPage":"58","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":382033,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","state":"Queensland","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              137.900390625,\n              -16.55196172197251\n            ],\n            [\n              137.8125,\n              -25.878994400196202\n            ],\n            [\n              141.15234374999997,\n              -25.95804467331783\n            ],\n            [\n              140.9765625,\n              -28.84467368077178\n            ],\n            [\n              153.28125,\n              -28.22697003891834\n            ],\n            [\n              152.841796875,\n              -23.483400654325628\n            ],\n            [\n              145.01953124999997,\n              -9.709057068618208\n            ],\n            [\n              141.85546875,\n              -9.79567758282973\n            ],\n            [\n              137.900390625,\n              -16.55196172197251\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adae4b07f02db685947","contributors":{"authors":[{"text":"Lanyon, Janet M.","contributorId":29117,"corporation":false,"usgs":true,"family":"Lanyon","given":"Janet M.","affiliations":[],"preferred":false,"id":347837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sneath, Helen L.","contributorId":62739,"corporation":false,"usgs":true,"family":"Sneath","given":"Helen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":347838,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, Trevor","contributorId":79222,"corporation":false,"usgs":true,"family":"Long","given":"Trevor","email":"","affiliations":[],"preferred":false,"id":347839,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonde, Robert K. 0000-0001-9179-4376 rbonde@usgs.gov","orcid":"https://orcid.org/0000-0001-9179-4376","contributorId":2675,"corporation":false,"usgs":true,"family":"Bonde","given":"Robert","email":"rbonde@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":347836,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003446,"text":"70003446 - 2010 - Parametric study of the physical properties of hydrate-bearing sand, silt, and clay sediments: 1. Electromagnetic properties","interactions":[],"lastModifiedDate":"2021-02-01T14:40:17.477806","indexId":"70003446","displayToPublicDate":"2011-09-28T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Parametric study of the physical properties of hydrate-bearing sand, silt, and clay sediments: 1. Electromagnetic properties","docAbstract":"The marked decrease in bulk electrical conductivity of sediments in the presence of gas hydrates has been used to interpret borehole electrical resistivity logs and, to a lesser extent, the results of controlled source electromagnetic surveys to constrain the spatial distribution and predicted concentration of gas hydrate in natural settings. Until now, an exhaustive laboratory data set that could be used to assess the impact of gas hydrate on the electromagnetic properties of different soils (sand, silt, and clay) at different effective stress and with different saturations of hydrate has been lacking. The laboratory results reported here are obtained using a standard geotechnical cell and the hydrate-formed tetrahydrofuran (THF), a liquid that is fully miscible in water and able to produce closely controlled saturations of hydrate from dissolved phase. Both permittivity and electrical conductivity are good indicators of the volume fraction of free water in the sediment, which is in turn dependent on hydrate saturation. Permittivity in the microwave frequency range is particularly predictive of free water content since it is barely affected by ionic concentration, pore structure, and surface conduction. Electrical conductivity (or resistivity) is less reliable for constraining water content or hydrate saturation: In addition to fluid-filled porosity, other factors, such as the ionic concentration of the pore fluid and possibly other conduction effects (e.g., surface conduction in high specific surface soils having low conductivity pore fluid), also influence electrical conductivity.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2009JB006669","usgsCitation":"Lee, J., Santamarina, J., and Ruppel, C., 2010, Parametric study of the physical properties of hydrate-bearing sand, silt, and clay sediments: 1. Electromagnetic properties: Journal of Geophysical Research, v. 115, B11104, 9 p., https://doi.org/10.1029/2009JB006669.","productDescription":"B11104, 9 p.","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":475568,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009jb006669","text":"Publisher Index Page"},{"id":382800,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","noUsgsAuthors":false,"publicationDate":"2010-11-09","publicationStatus":"PW","scienceBaseUri":"4f4e4ae3e4b07f02db689303","contributors":{"authors":[{"text":"Lee, J.Y.","contributorId":20061,"corporation":false,"usgs":true,"family":"Lee","given":"J.Y.","email":"","affiliations":[],"preferred":false,"id":347310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Santamarina, J.C.","contributorId":50283,"corporation":false,"usgs":true,"family":"Santamarina","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":347311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruppel, C.","contributorId":82050,"corporation":false,"usgs":true,"family":"Ruppel","given":"C.","email":"","affiliations":[],"preferred":false,"id":347312,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003744,"text":"70003744 - 2010 - North American osprey populations and contaminants: Historic and contemporary perspectives","interactions":[],"lastModifiedDate":"2018-10-17T15:43:20","indexId":"70003744","displayToPublicDate":"2011-09-21T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2484,"text":"Journal of Toxicology and Environmental Health, Part B: Critical Reviews","active":true,"publicationSubtype":{"id":10}},"title":"North American osprey populations and contaminants: Historic and contemporary perspectives","docAbstract":"<p><span>Osprey (</span><i>Pandion haliaetus</i><span>) populations were adversely affected by DDT and perhaps other contaminants in the United States and elsewhere. Reduced productivity, eggshell thinning, and high DDE concentrations in eggs were the signs associated with declining osprey populations in the 1950s, 1960s, and 1970s. The species was one of the first studied on a large scale to bring contaminant issues into focus. Although few quantitative population data were available prior to the 1960s, many osprey populations in North America were studied during the 1960s and 1970s with much learned about basic life history and biology. This article reviews the historical and current effects of contaminants on regional osprey populations. Breeding populations in many regions of North America showed post-DDT-era (1972) population increases of varying magnitudes, with many populations now appearing to stabilize at much higher numbers than initially reported in the 1970s and 1980s. However, the magnitude of regional population increases in the United States between 1981 (first Nationwide Survey, ∼8,000 pairs), when some recovery had already occurred, 1994 (second survey, ∼14,200), and 2001 (third survey, ∼16,000–19,000), or any other years, is likely not a simple response to the release from earlier contaminant effects, but a response to multi-factorial effects. This indirect “contaminant effects” measurement comparing changes (i.e., recovery) in post-DDT-era population numbers over time is probably confounded by changing human attitudes toward birds of prey (shooting, destroying nests, etc.), changing habitats, changing fish populations, and perhaps competition from other species. The species' adaptation to newly created reservoirs and its increasing use of artificial nesting structures (power poles, nesting platforms, cell towers, channel markers, offshore duck blinds, etc.) are two important factors. The timing of the initial use of artificial nesting structures, which replaced declining numbers of suitable trees at many locations, varied regionally (much later in the western United States and Mexico). Because of the increasing use of artificial nesting structures, there may be more ospreys nesting in North America now than ever before. Now, with the impact of most legacy organic contaminants (DDT, other organochlorine [OC] pesticides, polychlorinated biphenyls [PCB], polychlorinated dibenzo-</span><i>p</i><span>-dioxins [PCDD], polychlorinated dibenzofurans (PCDF]) greatly reduced or eliminated, and some osprey populations showing evidence of stabilizing, the species was proposed as a Worldwide Sentinel Species for evaluating emerging contaminants. Several emerging contaminants are already being studied, such as polybrominated diphenyl ethers (PBDE) and perfluorinated acids and sulfonate compounds (PFC). The many advantages for continued contaminant investigations using the osprey include a good understanding of its biology and ecology, its known distribution and abundance, and its ability to habituate to humans and their activities, which permits nesting in some of the potentially most contaminated environments. It is a top predator in most ecosystems, and its nests are relatively easy to locate and study with little researcher impact on reproductive success.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10937404.2010.538658","usgsCitation":"Henny, C.J., Grove, R.A., Kaiser, J.L., and Johnson, B., 2010, North American osprey populations and contaminants: Historic and contemporary perspectives: Journal of Toxicology and Environmental Health, Part B: Critical Reviews, v. 13, no. 7-8, p. 579-603, https://doi.org/10.1080/10937404.2010.538658.","productDescription":"25 p.","startPage":"579","endPage":"603","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":204519,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","volume":"13","issue":"7-8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db649244","contributors":{"authors":[{"text":"Henny, Charles J. 0000-0001-7474-350X hennyc@usgs.gov","orcid":"https://orcid.org/0000-0001-7474-350X","contributorId":3461,"corporation":false,"usgs":true,"family":"Henny","given":"Charles","email":"hennyc@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":348627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grove, Robert A.","contributorId":52134,"corporation":false,"usgs":true,"family":"Grove","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":348629,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaiser, James L.","contributorId":57033,"corporation":false,"usgs":true,"family":"Kaiser","given":"James","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":348630,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Branden L. branden_johnson@usgs.gov","contributorId":4168,"corporation":false,"usgs":true,"family":"Johnson","given":"Branden L.","email":"branden_johnson@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":348628,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70005324,"text":"sir20105211 - 2010 - Approaches to highly parameterized inversion: A guide to using PEST for model-parameter and predictive-uncertainty analysis","interactions":[],"lastModifiedDate":"2012-03-08T17:16:41","indexId":"sir20105211","displayToPublicDate":"2011-09-06T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5211","title":"Approaches to highly parameterized inversion: A guide to using PEST for model-parameter and predictive-uncertainty analysis","docAbstract":"Analysis of the uncertainty associated with parameters used by a numerical model, and with predictions that depend on those parameters, is fundamental to the use of modeling in support of decisionmaking. Unfortunately, predictive uncertainty analysis with regard to models can be very computationally demanding, due in part to complex constraints on parameters that arise from expert knowledge of system properties on the one hand (knowledge constraints) and from the necessity for the model parameters to assume values that allow the model to reproduce historical system behavior on the other hand (calibration constraints). Enforcement of knowledge and calibration constraints on parameters used by a model does not eliminate the uncertainty in those parameters. In fact, in many cases, enforcement of calibration constraints simply reduces the uncertainties associated with a number of broad-scale combinations of model parameters that collectively describe spatially averaged system properties. The uncertainties associated with other combinations of parameters, especially those that pertain to small-scale parameter heterogeneity, may not be reduced through the calibration process. To the extent that a prediction depends on system-property detail, its postcalibration variability may be reduced very little, if at all, by applying calibration constraints; knowledge constraints remain the only limits on the variability of predictions that depend on such detail. Regrettably, in many common modeling applications, these constraints are weak. Though the PEST software suite was initially developed as a tool for model calibration, recent developments have focused on the evaluation of model-parameter and predictive uncertainty. As a complement to functionality that it provides for highly parameterized inversion (calibration) by means of formal mathematical regularization techniques, the PEST suite provides utilities for linear and nonlinear error-variance and uncertainty analysis in these highly parameterized modeling contexts. Availability of these utilities is particularly important because, in many cases, a significant proportion of the uncertainty associated with model parameters-and the predictions that depend on them-arises from differences between the complex properties of the real world and the simplified representation of those properties that is expressed by the calibrated model. This report is intended to guide intermediate to advanced modelers in the use of capabilities available with the PEST suite of programs for evaluating model predictive error and uncertainty. A brief theoretical background is presented on sources of parameter and predictive uncertainty and on the means for evaluating this uncertainty. Applications of PEST tools are then discussed for overdetermined and underdetermined problems, both linear and nonlinear. PEST tools for calculating contributions to model predictive uncertainty, as well as optimization of data acquisition for reducing parameter and predictive uncertainty, are presented. The appendixes list the relevant PEST variables, files, and utilities required for the analyses described in the document.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105211","collaboration":"Groundwater Resources Program, Global Change Research & Development","usgsCitation":"Doherty, J.E., Hunt, R.J., and Tonkin, M.J., 2010, Approaches to highly parameterized inversion: A guide to using PEST for model-parameter and predictive-uncertainty analysis: U.S. Geological Survey Scientific Investigations Report 2010-5211, v, 39 p.; Appendices, https://doi.org/10.3133/sir20105211.","productDescription":"v, 39 p.; Appendices","startPage":"i","endPage":"71","numberOfPages":"82","onlineOnly":"N","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":116629,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5211.gif"},{"id":92098,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5211/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Michigan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.85,42.95 ], [ -84.85,42.9675 ], [ -84.81694444444445,42.9675 ], [ -84.81694444444445,42.95 ], [ -84.85,42.95 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac6e4b07f02db67a344","contributors":{"authors":[{"text":"Doherty, John E.","contributorId":8817,"corporation":false,"usgs":false,"family":"Doherty","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":7046,"text":"Watermark Numerical Computing","active":true,"usgs":false}],"preferred":false,"id":352295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":352294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tonkin, Matthew J.","contributorId":26376,"corporation":false,"usgs":true,"family":"Tonkin","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":352296,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003646,"text":"70003646 - 2010 - Match or mismatch: The influence of phenology on size-dependent life history and divergence in population structure","interactions":[],"lastModifiedDate":"2021-01-25T13:05:49.873804","indexId":"70003646","displayToPublicDate":"2011-08-30T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Match or mismatch: The influence of phenology on size-dependent life history and divergence in population structure","docAbstract":"<p><span>1. In gape-limited predators, body size asymmetries determine the outcome of predator-prey interactions. Due to ontogenetic changes in body size, the intensity of intra- and interspecific interactions may change rapidly between the&nbsp;</span><span class=\"ScopusTermHighlight\">match</span><span>&nbsp;situation of a predator-prey system and the&nbsp;</span><span class=\"ScopusTermHighlight\">mismatch</span><span>&nbsp;situation in which competition, including competition with the prey, dominates. 2. Based on a physiologically structured population model using the European perch (Perca fluviatilis), analysis was performed on how prey density (bream, Abramis brama), initial size differences in the young-of-the-year (YOY) age cohort of the predator, and&nbsp;</span><span class=\"ScopusTermHighlight\">phenology</span><span>&nbsp;(time-gap in hatching of predator and prey)&nbsp;</span><span class=\"ScopusTermHighlight\">influence</span><span>&nbsp;the size structure of the predator cohort. 3. In relation to the seasonality of reproduction, the&nbsp;</span><span class=\"ScopusTermHighlight\">match</span><span>&nbsp;situation of the predator-prey system occurred when perch hatched earlier than bream and when no gape-size limitations existed, leading to decreased size divergence in the predator age cohort. Decreased size divergence was also found when bream hatched much earlier than perch, preventing perch predation on bream occurring, which, in turn, increased the competitive interaction of the perch with bream for the common prey, zooplankton; i.e. the&nbsp;</span><span class=\"ScopusTermHighlight\">mismatch</span><span>&nbsp;situation in which also the mean size of the age cohort of the predator decreased. 4. In between the total&nbsp;</span><span class=\"ScopusTermHighlight\">match</span><span>&nbsp;and the&nbsp;</span><span class=\"ScopusTermHighlight\">mismatch</span><span>, however, only the largest individuals of the perch age cohort were able to prey on the bream, while smaller conspecifics got trapped in competition with each other and with bream for zooplankton, leading to enlarged differences in growth that increased size divergence. 5. The modelling results were combined with 7 years of field data in a lake, where large differences in the length-frequency distribution of YOY perch were observed after their first summer. These field data corroborate that&nbsp;</span><span class=\"ScopusTermHighlight\">phenology</span><span>&nbsp;and prey density per predator are important mechanisms in determining size differences within theYOYage cohort of the predator. 6. The results demonstrate that the switch between competitive interactions and a predator-prey relationship depended on&nbsp;</span><span class=\"ScopusTermHighlight\">phenology</span><span>. This resulted in pronounced size differences in the YOY age cohort, which had far-reaching consequences for the entire predator population.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2656.2010.01704.x","usgsCitation":"Borcherding, J., Beeck, P., DeAngelis, D., and Scharf, W.R., 2010, Match or mismatch: The influence of phenology on size-dependent life history and divergence in population structure: Journal of Animal Ecology, v. 79, no. 5, p. 1101-1112, https://doi.org/10.1111/j.1365-2656.2010.01704.x.","productDescription":"12 p.","startPage":"1101","endPage":"1112","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":475573,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-2656.2010.01704.x","text":"Publisher Index Page"},{"id":382520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"5","noUsgsAuthors":false,"publicationDate":"2010-08-05","publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e81a","contributors":{"authors":[{"text":"Borcherding, Jost","contributorId":69286,"corporation":false,"usgs":true,"family":"Borcherding","given":"Jost","affiliations":[],"preferred":false,"id":348144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beeck, Peter","contributorId":82448,"corporation":false,"usgs":true,"family":"Beeck","given":"Peter","email":"","affiliations":[],"preferred":false,"id":348145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":88015,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","affiliations":[],"preferred":false,"id":348146,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scharf, Werner R.","contributorId":96402,"corporation":false,"usgs":true,"family":"Scharf","given":"Werner","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":348147,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70005224,"text":"sir20105043 - 2010 - Alluvial diamond resource potential and production capacity assessment of the Central African Republic","interactions":[],"lastModifiedDate":"2013-07-18T15:24:46","indexId":"sir20105043","displayToPublicDate":"2011-08-19T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5043","title":"Alluvial diamond resource potential and production capacity assessment of the Central African Republic","docAbstract":"In May of 2000, a meeting was convened in Kimberley, South Africa, and attended by representatives of the diamond industry and leaders of African governments to develop a certification process intended to assure that rough, exported diamonds were free of conflict concerns. This meeting was supported later in 2000 by the United Nations in a resolution adopted by the General Assembly. By 2002, the Kimberly Process Certification Scheme (KPCS) was ratified and signed by diamond-producing and diamond-importing countries. Over 70 countries were included as members of the KPCS at the end of 2007. To prevent trade in \"conflict diamonds\" while protecting legitimate trade, the KPCS requires that each country set up an internal system of controls to prevent conflict diamonds from entering any imported or exported shipments of rough diamonds. Every diamond or diamond shipment must be accompanied by a Kimberley Process (KP) certificate and be contained in tamper-proof packaging. The objective of this study was (1) to assess the naturally occurring endowment of diamonds in the Central African Republic (potential resources) based on geological evidence, previous studies, and recent field data and (2) to assess the diamond-production capacity and measure the intensity of mining activity. Several possible methods can be used to estimate the potential diamond resource. However, because there is generally a lack of sufficient and consistent data recording all diamond mining in the Central African Republic and because time to conduct fieldwork and accessibility to the diamond mining areas are limited, two different methodologies were used: the volume and grade approach and the content per kilometer approach. Estimates are that approximately 39,000,000 carats of alluvial diamonds remain in the eastern and western zones of the CAR combined. This amount is roughly twice the total amount of diamonds reportedly exported from the Central African Republic since 1931. Production capacity is calculated to be 840,000 carats per year, a number that is nearly twice the 450,000 carats per year reported annually by the Central African Republic. The difference in the two numbers reflects the lack of sufficient data on diamond resource grades, worker productivity, and the number and locations of sites being worked.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105043","collaboration":"Prepared in cooperation with the Bureau de Recherches Geologiques et Minieres and the Direction Generale des Mines under the auspices of the U.S. Department of State","usgsCitation":"Chirico, P., Barthelemy, F., and Ngbokoto, F.A., 2010, Alluvial diamond resource potential and production capacity assessment of the Central African Republic (Originally posted on April 7, 2013; French Translation July 17, 2013): U.S. Geological Survey Scientific Investigations Report 2010-5043, iv, 22 p.; Rapport PDF en francais, https://doi.org/10.3133/sir20105043.","productDescription":"iv, 22 p.; Rapport PDF en francais","startPage":"i","endPage":"22","numberOfPages":"26","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":410,"text":"National Center","active":false,"usgs":true}],"links":[{"id":116978,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5043.jpg"},{"id":91753,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5043/","linkFileType":{"id":5,"text":"html"}},{"id":275154,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5043/pdf/sir2010-5043.pdf"},{"id":275155,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2010/5043/french/"},{"id":275153,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2010/5043/french/pdf/SIR2010-5043_FrenchVersion.pdf"}],"country":"Central African Republic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 13.5,1 ], [ 13.5,12 ], [ 29,12 ], [ 29,1 ], [ 13.5,1 ] ] ] } } ] }","edition":"Originally posted on April 7, 2013; French Translation July 17, 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adee4b07f02db6876db","contributors":{"authors":[{"text":"Chirico, Peter G.","contributorId":27086,"corporation":false,"usgs":true,"family":"Chirico","given":"Peter G.","affiliations":[],"preferred":false,"id":352094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barthelemy, Francis","contributorId":88473,"corporation":false,"usgs":true,"family":"Barthelemy","given":"Francis","email":"","affiliations":[],"preferred":false,"id":352096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ngbokoto, Francois A.","contributorId":45818,"corporation":false,"usgs":true,"family":"Ngbokoto","given":"Francois","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":352095,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003867,"text":"70003867 - 2010 - Facilitation drives 65 years of vegetation change in the Sonoran Desert","interactions":[],"lastModifiedDate":"2021-01-15T12:52:15.643093","indexId":"70003867","displayToPublicDate":"2011-08-19T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Facilitation drives 65 years of vegetation change in the Sonoran Desert","docAbstract":"<p><span>Ecological processes of low‐productivity ecosystems have long been considered to be driven by abiotic controls with biotic interactions playing an insignificant role. However, existing studies present conflicting evidence concerning the roles of these factors, in part due to the short temporal extent of most data sets and inability to test indirect effects of environmental variables modulated by biotic interactions. Using structural equation modeling to analyze 65 years of perennial vegetation change in the Sonoran Desert, we found that precipitation had a stronger positive effect on recruitment beneath existing canopies than in open microsites due to reduced evaporation rates. Variation in perennial canopy cover had additional facilitative effects on juvenile recruitment, which was indirectly driven by effects of density and precipitation on cover. Mortality was strongly influenced by competition as indicated by negative density‐dependence, whereas precipitation had no effect. The combined direct, indirect, and interactive facilitative effects of precipitation and cover on recruitment were substantial, as was the effect of competition on mortality, providing strong evidence for dual control of community dynamics by climate and biotic interactions. Through an empirically derived simulation model, we also found that the positive feedback of density on cover produces unique temporal abundance patterns, buffering changes in abundance from high frequency variation in precipitation, amplifying effects of low frequency variation, and decoupling community abundance from precipitation patterns at high abundance. Such dynamics should be generally applicable to low‐productivity systems in which facilitation is important and can only be understood within the context of long‐term variation in climatic patterns. This predictive model can be applied to better manage low‐productivity ecosystems, in which variation in biogeochemical processes and trophic dynamics may be driven by positive density‐dependent feedbacks that influence temporal abundance and productivity patterns.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/09-0145.1","usgsCitation":"Butterfield, B., Betancourt, J.L., Turner, R., and Briggs, J.M., 2010, Facilitation drives 65 years of vegetation change in the Sonoran Desert: Ecology, v. 91, no. 4, p. 1132-1139, https://doi.org/10.1890/09-0145.1.","productDescription":"8 p.","startPage":"1132","endPage":"1139","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":382189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a06e4b07f02db5f8906","contributors":{"authors":[{"text":"Butterfield, Bradley J.","contributorId":18096,"corporation":false,"usgs":true,"family":"Butterfield","given":"Bradley J.","affiliations":[],"preferred":false,"id":349216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":349213,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turner, Raymond M.","contributorId":7383,"corporation":false,"usgs":true,"family":"Turner","given":"Raymond M.","affiliations":[],"preferred":false,"id":349215,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briggs, John M.","contributorId":6986,"corporation":false,"usgs":true,"family":"Briggs","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":349214,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70005225,"text":"sir20105044 - 2010 - Alluvial diamond resource potential and production capacity assessment of Mali","interactions":[],"lastModifiedDate":"2013-11-20T10:39:56","indexId":"sir20105044","displayToPublicDate":"2011-08-19T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5044","title":"Alluvial diamond resource potential and production capacity assessment of Mali","docAbstract":"In May of 2000, a meeting was convened in Kimberley, South Africa, and attended by representatives of the diamond industry and leaders of African governments to develop a certification process intended to assure that rough, exported diamonds were free of conflictual concerns. This meeting was supported later in 2000 by the United Nations in a resolution adopted by the General Assembly. By 2002, the Kimberley Process Certification Scheme (KPCS) was ratified and signed by diamond-producing and diamond-importing countries. Over 70 countries were included as members of the KPCS at the end of 2007. To prevent trade in \"conflict diamonds\" while protecting legitimate trade, the KPCS requires that each country set up an internal system of controls to prevent conflict diamonds from entering any imported or exported shipments of rough diamonds. Every diamond or diamond shipment must be accompanied by a Kimberley Process (KP) certificate and be contained in tamper-proof packaging. The objective of this study was (1) to assess the naturally occurring endowment of diamonds in Mali (potential resources) based on geological evidence, previous studies, and recent field data and (2) to assess the diamond-production capacity and measure the intensity of mining activity. Several possible methods can be used to estimate the potential diamond resource. However, because there is generally a lack of sufficient and consistent data recording all diamond mining in Mali and because time to conduct fieldwork and accessibility to the diamond mining areas are limited, four different methodologies were used: the cylindrical calculation of the primary kimberlitic deposits, the surface area methodology, the volume and grade approach, and the content per kilometer approach. Approximately 700,000 carats are estimated to be in the alluvial deposits of the Kenieba region, with 540,000 carats calculated to lie within the concentration grade deposits. Additionally, 580,000 carats are estimated to have been released from the primary kimberlites in the region. Therefore, the total estimated diamond resources in the Kenieba region are thought to be nearly 1,300,000 carats. The Bougouni zones are estimated to have 1,000,000 carats with more than half, 630,000 carats, contained in concentrated deposits. When combined, the Kenieba and Bougouni regions of Mali are estimated to be host to 2,300,000 carats of diamonds.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105044","collaboration":"Prepared in cooperation with the Bureau de Recherches Geologiques et Minieres and the Direction Nationale de la Geologie et des Mines under the auspices of the U.S. Department of State","usgsCitation":"Chirico, P., Barthelemy, F., and Kone, F., 2010, Alluvial diamond resource potential and production capacity assessment of Mali (Originally posted on April 7, 2010; French translation November 18, 2013): U.S. Geological Survey Scientific Investigations Report 2010-5044, iv, 23 p.; Rapport PDF en français, https://doi.org/10.3133/sir20105044.","productDescription":"iv, 23 p.; Rapport PDF en français","startPage":"i","endPage":"23","numberOfPages":"27","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":410,"text":"National Center","active":false,"usgs":true}],"links":[{"id":116959,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5044.jpg"},{"id":91754,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5044/","linkFileType":{"id":5,"text":"html"}},{"id":279228,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2010/5044/french/pdf/sir2010-5044_french.pdf"},{"id":279229,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5044/pdf/sir2010-5044.pdf"},{"id":279227,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2010/5044/french/"}],"country":"Mali","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -15,8 ], [ -15,27 ], [ 8,27 ], [ 8,8 ], [ -15,8 ] ] ] } } ] }","edition":"Originally posted on April 7, 2010; French translation November 18, 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae6e4b07f02db68b47e","contributors":{"authors":[{"text":"Chirico, Peter G.","contributorId":27086,"corporation":false,"usgs":true,"family":"Chirico","given":"Peter G.","affiliations":[],"preferred":false,"id":352097,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barthelemy, Francis","contributorId":88473,"corporation":false,"usgs":true,"family":"Barthelemy","given":"Francis","email":"","affiliations":[],"preferred":false,"id":352099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kone, Fatiaga","contributorId":87030,"corporation":false,"usgs":true,"family":"Kone","given":"Fatiaga","email":"","affiliations":[],"preferred":false,"id":352098,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003992,"text":"70003992 - 2010 - Factors controlling the regional distribution of vanadium in ground water","interactions":[],"lastModifiedDate":"2021-02-16T13:37:46.061871","indexId":"70003992","displayToPublicDate":"2011-08-15T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Factors controlling the regional distribution of vanadium in ground water","docAbstract":"<p><span>Although the ingestion of vanadium (V) in drinking water may have possible adverse health effects, there have been relatively few studies of V in groundwater. Given the importance of groundwater as a source of drinking water in many areas of the world, this study examines the potential sources and geochemical processes that control the distribution of V in groundwater on a regional scale. Potential sources of V to groundwater include dissolution of V rich rocks, and waste streams from industrial processes. Geochemical processes such as adsorption/desorption, precipitation/dissolution, and chemical transformations control V concentrations in groundwater. Based on thermodynamic data and laboratory studies, V concentrations are expected to be highest in samples collected from oxic and alkaline groundwater. However, the extent to which thermodynamic data and laboratory results apply to the actual distribution of V in groundwater is not well understood. More than 8400 groundwater samples collected in California were used in this study. Of these samples, high (≥50 µg/L) and moderate (25 to 49 µg/L) V concentrations were most frequently detected in regions where both source rock and favorable geochemical conditions occurred. The distribution of V concentrations in groundwater samples suggests that significant sources of V are mafic and andesitic rock. Anthropogenic activities do not appear to be a significant contributor of V to groundwater in this study. High V concentrations in groundwater samples analyzed in this study were almost always associated with oxic and alkaline groundwater conditions, which is consistent with predictions based on thermodynamic data.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.2009.00666.x","usgsCitation":"Wright, M.T., and Belitz, K., 2010, Factors controlling the regional distribution of vanadium in ground water: Ground Water, v. 48, no. 4, p. 515-525, https://doi.org/10.1111/j.1745-6584.2009.00666.x.","productDescription":"11 p.","startPage":"515","endPage":"525","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":383282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Southeast California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.400390625,\n              34.994003757575776\n            ],\n            [\n              -118.69628906249999,\n              37.92686760148135\n            ],\n            [\n              -120.58593749999999,\n              38.20365531807149\n            ],\n            [\n              -120.62988281249999,\n              36.56260003738545\n            ],\n            [\n              -118.47656249999999,\n              34.34343606848294\n            ],\n            [\n              -116.27929687499999,\n              33.8339199536547\n            ],\n            [\n              -115.400390625,\n              34.994003757575776\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"48","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-06-22","publicationStatus":"PW","scienceBaseUri":"4f4e48d0e4b07f02db5465e3","contributors":{"authors":[{"text":"Wright, Michael T. 0000-0003-0653-6466 mtwright@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-6466","contributorId":1508,"corporation":false,"usgs":true,"family":"Wright","given":"Michael","email":"mtwright@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":false,"id":350060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350059,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70004062,"text":"70004062 - 2010 - Hydrogeologic framework of fractured sedimentary rock, Newark Basin, New Jersey","interactions":[],"lastModifiedDate":"2018-10-11T10:16:23","indexId":"70004062","displayToPublicDate":"2011-08-10T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1864,"text":"Ground Water Monitoring and Remediation","active":true,"publicationSubtype":{"id":10}},"title":"Hydrogeologic framework of fractured sedimentary rock, Newark Basin, New Jersey","docAbstract":"The hydrogeologic framework of fractured sedimentary bedrock at the former Naval Air Warfare Center (NAWC), Trenton, New Jersey, a trichloroethylene (TCE)-contaminated site in the Newark Basin, is developed using an understanding of the geologic history of the strata, gamma-ray logs, and rock cores. NAWC is the newest field research site established as part of the U.S. Geological Survey Toxic Substances Hydrology Program, Department of Defense (DoD) Strategic Environmental Research and Development Program, and DoD Environmental Security Technology Certification Program to investigate contaminant remediation in fractured rock.\n\nSedimentary bedrock at the NAWC research site comprises the Skunk Hollow, Byram, and Ewing Creek Members of the Lockatong Formation and Raven Rock Member of the Stockton Formation. Muds of the Lockatong Formation that were deposited in Van Houten cycles during the Triassic have lithified to form the bedrock that is typical of much of the Newark Basin. Four lithotypes formed from the sediments include black, carbon-rich laminated mudstone, dark-gray laminated mudstone, light-gray massive mudstone, and red massive mudstone. Diagenesis, tectonic compression, off-loading, and weathering have altered the rocks to give some strata greater hydraulic conductivity than other strata. Each stratum in the Lockatong Formation is 0.3 to 8 m thick, strikes N65 degrees E, and dips 25 degrees to 70 degrees NW. The black, carbon-rich laminated mudstone tends to fracture easily, has a relatively high hydraulic conductivity and is associated with high natural gamma-ray count rates. The dark-gray laminated mudstone is less fractured and has a lower hydraulic conductivity than the black carbon-rich laminated mudstone. The light-gray and the red massive mudstones are highly indurated and tend to have the least fractures and a low hydraulic conductivity.\n\nThe differences in gamma-ray count rates for different mudstones allow gamma-ray logs to be used to correlate and delineate the lithostratigraphy from multiple wells. Gamma-ray logs and rock cores were correlated to develop a 13-layer gamma-ray stratigraphy and 41-layer lithostratigraphy throughout the fractured sedimentary rock research site.\n\nDetailed hydrogeologic framework shows that black carbon-rich laminated mudstones are the most hydraulically conductive. Water-quality and aquifer-test data indicate that groundwater flow is greatest and TCE contamination is highest in the black, carbon- and clay-rich laminated mudstones. Large-scale groundwater flow at the NAWC research site can be modeled as highly anisotropic with the highest component of permeability occurring along bedding planes.","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1745-6592.2010.01275.x","usgsCitation":"Lacombe, P., and Burton, W.C., 2010, Hydrogeologic framework of fractured sedimentary rock, Newark Basin, New Jersey: Ground Water Monitoring and Remediation, v. 30, no. 2, p. 35-45, https://doi.org/10.1111/j.1745-6592.2010.01275.x.","productDescription":"11 p.","startPage":"35","endPage":"45","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":203868,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Newark Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.81640625,\n              40.38839687388361\n            ],\n            [\n              -76.81640625,\n              41.541477666790286\n            ],\n            [\n              -73.85009765625,\n              41.541477666790286\n            ],\n            [\n              -73.85009765625,\n              40.38839687388361\n            ],\n            [\n              -76.81640625,\n              40.38839687388361\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"30","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-05-12","publicationStatus":"PW","scienceBaseUri":"4f4e4a4ee4b07f02db627a4d","contributors":{"authors":[{"text":"Lacombe, Pierre J. placombe@usgs.gov","contributorId":2486,"corporation":false,"usgs":true,"family":"Lacombe","given":"Pierre J.","email":"placombe@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":350389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burton, William C. 0000-0001-7519-5787 bburton@usgs.gov","orcid":"https://orcid.org/0000-0001-7519-5787","contributorId":1293,"corporation":false,"usgs":true,"family":"Burton","given":"William","email":"bburton@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":350388,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}