{"pageNumber":"1217","pageRowStart":"30400","pageSize":"25","recordCount":165296,"records":[{"id":70128289,"text":"sim3311 - 2015 - Potentiometric surface, 2013, and water-level differences, 1991-2013, of the Carrizo-Wilcox aquifer in northwest Louisiana","interactions":[],"lastModifiedDate":"2015-02-18T13:27:04","indexId":"sim3311","displayToPublicDate":"2015-02-18T13:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3311","title":"Potentiometric surface, 2013, and water-level differences, 1991-2013, of the Carrizo-Wilcox aquifer in northwest Louisiana","docAbstract":"<p>The Carrizo-Wilcox aquifer is the primary source of fresh groundwater for public supply as well as industrial, agricultural, and domestic uses in several parishes in northwestern Louisiana, including Bienville, Bossier, Caddo, De Soto, Natchitoches, Red River, Sabine, and Webster. In 2010, about 19 million gallons per day (Mgal/d) were withdrawn from the Carrizo-Wilcox aquifer in Louisiana. This is an increase of over 6 Mgal/d from 1990 withdrawal amounts. The largest increase in withdrawals occurred in Caddo (3.79 Mgal/d) and De Soto Parishes (2.32 Mgal/d), whereas the largest decrease in withdrawals occurred in Natchitoches Parish (1.17 Mgal/d). Groundwater withdrawals from the Carrizo-Wilcox aquifer have caused water-level declines throughout much of the aquifer in the study area. Additional knowledge about the effects of withdrawals on water levels and flow directions in the Carrizo-Wilcox aquifer are needed to assess current conditions in the aquifer. In 2012, the U.S. Geological Survey (USGS) in cooperation with the Louisiana Department of Natural Resources began a study to document current water levels and water-level changes in selected aquifers.</p>\n<p>This report presents data and maps that illustrate the potentiometric surface of the Carrizo-Wilcox aquifer during March&ndash;May 2013 and water-level differences from 1991 to 2013. The potentiometric surface map can be used for determining the direction of groundwater flow, hydraulic gradients, and effects of withdrawals on the groundwater resource. The rate of groundwater movement also can be estimated from the gradient when the hydraulic conductivity is applied. Water-level data collected for this study are stored in the USGS National Water Information System (NWIS) (<i>http://waterdata.usgs.gov/nwis</i>) and are on file at the USGS office in Baton Rouge, La.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3311","collaboration":"Prepared in cooperation with the Louisiana Department of Natural Resources","usgsCitation":"Fendick, R., and Carter, K., 2015, Potentiometric surface, 2013, and water-level differences, 1991-2013, of the Carrizo-Wilcox aquifer in northwest Louisiana: U.S. Geological Survey Scientific Investigations Map 3311, 44.0 x 34.0 inches, https://doi.org/10.3133/sim3311.","productDescription":"44.0 x 34.0 inches","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1991-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-057693","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":298032,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3311.jpg"},{"id":298025,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3311/"},{"id":298031,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3311/pdf/sim3311.pdf","text":"Map","size":"1.02 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Map"}],"country":"United States","state":"Louisiana","otherGeospatial":"Carrizo-Wilcox aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.04296874999999,\n              31.194007509998823\n            ],\n            [\n              -94.04296874999999,\n              33.02248191961359\n            ],\n            [\n              -92.7520751953125,\n              33.02248191961359\n            ],\n            [\n              -92.7520751953125,\n              31.194007509998823\n            ],\n            [\n              -94.04296874999999,\n              31.194007509998823\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54e5b7eee4b02d776a669ea7","contributors":{"authors":[{"text":"Fendick, Robert B. Jr. rfendick@usgs.gov","contributorId":1313,"corporation":false,"usgs":true,"family":"Fendick","given":"Robert B.","suffix":"Jr.","email":"rfendick@usgs.gov","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":540766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, Kayla kcarter@usgs.gov","contributorId":5681,"corporation":false,"usgs":true,"family":"Carter","given":"Kayla","email":"kcarter@usgs.gov","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":540767,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70141433,"text":"70141433 - 2015 - Large-scale dam removal on the Elwha River, Washington, USA: fluvial sediment load","interactions":[],"lastModifiedDate":"2016-04-26T09:22:05","indexId":"70141433","displayToPublicDate":"2015-02-18T13:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Large-scale dam removal on the Elwha River, Washington, USA: fluvial sediment load","docAbstract":"<p><span>The Elwha River restoration project, in Washington State, includes the largest dam-removal project in United States history to date. Starting September 2011, two nearly century-old dams that collectively contained 21&nbsp;&plusmn;&nbsp;3&nbsp;million&nbsp;m</span><sup>3</sup><span>&nbsp;of sediment were removed over the course of three years with a top-down deconstruction strategy designed to meter the release of a portion of the dam-trapped sediment. Gauging with sediment-surrogate technologies during the first two years downstream from the project measured 8,200,000&nbsp;&plusmn;&nbsp;3,400,000&nbsp;tonnes of transported sediment, with 1,100,000 and 7,100,000&nbsp;t moving in years 1 and 2, respectively, representing 3 and 20 times the Elwha River annual sediment load of 340,000&nbsp;&plusmn;&nbsp;80,000&nbsp;t/y. During the study period, the discharge in the Elwha River was greater than normal (107% in year 1 and 108% in year 2); however, the magnitudes of the peak-flow events during the study period were relatively benign with the largest discharge of 292&nbsp;m</span><sup>3</sup><span>/s (73% of the 2-year annual peak-flow event) early in the project when both extant reservoirs still retained sediment. Despite the muted peak flows, sediment transport was large, with measured suspended-sediment concentrations during the study period ranging from 44 to 16,300&nbsp;mg/L and gauged bedload transport as large as 24,700&nbsp;t/d. Five distinct sediment-release periods were identified when sediment loads were notably increased (when lateral erosion in the former reservoirs was active) or reduced (when reservoir retention or seasonal low flows and cessation of lateral erosion reduced sediment transport). Total suspended-sediment load was 930,000&nbsp;t in year 1 and 5,400,000&nbsp;t in year 2. Of the total 6,300,000&nbsp;&plusmn;&nbsp;3,200,000&nbsp;t of suspended-sediment load, 3,400,000&nbsp;t consisted of silt and clay and 2,900,000&nbsp;t was sand. Gauged bedload on the lower Elwha River in year 2 of the project was 450,000&nbsp;&plusmn;&nbsp;360,000&nbsp;t. Bedload was not quantified in year 1, but qualitative observations using bedload-surrogate instruments indicated detectable bedload starting just after full removal of the downstream dam. Using comparative studies from other sediment-laden rivers, the total ungauged fraction of &lt;&nbsp;2-mm bedload was estimated to be on the order of 1.5&nbsp;Mt.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2014.12.032","usgsCitation":"Magirl, C.S., Hilldale, R.C., Curran, C.A., Duda, J., Straub, T., Domanski, M.M., and Foreman, J., 2015, Large-scale dam removal on the Elwha River, Washington, USA: fluvial sediment load: Geomorphology, v. 246, p. 669-686, https://doi.org/10.1016/j.geomorph.2014.12.032.","productDescription":"18 p.","startPage":"669","endPage":"686","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060501","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":472270,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2014.12.032","text":"Publisher Index 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Center","active":true,"usgs":true}],"preferred":true,"id":540770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hilldale, Robert C.","contributorId":139315,"corporation":false,"usgs":false,"family":"Hilldale","given":"Robert","email":"","middleInitial":"C.","affiliations":[{"id":6736,"text":"Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":540771,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Curran, Christopher A. 0000-0001-8933-416X ccurran@usgs.gov","orcid":"https://orcid.org/0000-0001-8933-416X","contributorId":1650,"corporation":false,"usgs":true,"family":"Curran","given":"Christopher","email":"ccurran@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":540772,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duda, Jeffrey J. 0000-0001-7431-8634 jduda@usgs.gov","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":3323,"corporation":false,"usgs":true,"family":"Duda","given":"Jeffrey J.","email":"jduda@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":540773,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Straub, Timothy D. 0000-0002-5896-0851 tdstraub@usgs.gov","orcid":"https://orcid.org/0000-0002-5896-0851","contributorId":2273,"corporation":false,"usgs":true,"family":"Straub","given":"Timothy D.","email":"tdstraub@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":540774,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Domanski, Marian M. 0000-0002-0468-314X mdomanski@usgs.gov","orcid":"https://orcid.org/0000-0002-0468-314X","contributorId":5035,"corporation":false,"usgs":true,"family":"Domanski","given":"Marian","email":"mdomanski@usgs.gov","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":540775,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Foreman, James R. 0000-0003-0535-4580 jforeman@usgs.gov","orcid":"https://orcid.org/0000-0003-0535-4580","contributorId":139316,"corporation":false,"usgs":true,"family":"Foreman","given":"James R.","email":"jforeman@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":540776,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70135821,"text":"fs20143118 - 2015 - Water resources of St. Charles Parish, Louisiana","interactions":[],"lastModifiedDate":"2015-02-18T12:58:08","indexId":"fs20143118","displayToPublicDate":"2015-02-18T12:45:00","publicationYear":"2015","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":"2014-3118","title":"Water resources of St. Charles Parish, Louisiana","docAbstract":"<p><span>Information concerning the availability, use, and quality of water in St. Charles Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. Information on the availability, past and current use, use trends, and water quality from groundwater and surface-water sources in the parish is presented. Previously published reports and data stored in the U.S. Geological Survey&rsquo;s National Water Information System (</span>http://waterdata.usgs.gov/nwis<span>) are the primary sources of the information presented here.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143118","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., and Prakken, L., 2015, Water resources of St. Charles Parish, Louisiana: U.S. Geological Survey Fact Sheet 2014-3118, 6 p., https://doi.org/10.3133/fs20143118.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059438","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":298028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143118.jpg"},{"id":298026,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3118/"},{"id":298027,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3118/pdf/fs2014-3118.pdf","text":"Report","size":"8.22 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Louisiana","county":"St. Charles Parish","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.58914184570311,\n              29.679701222948996\n            ],\n            [\n              -90.58914184570311,\n              30.191431221535417\n            ],\n            [\n              -90.14762878417969,\n              30.191431221535417\n            ],\n            [\n              -90.14762878417969,\n              29.679701222948996\n            ],\n            [\n              -90.58914184570311,\n              29.679701222948996\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54e5b7f1e4b02d776a669eab","contributors":{"authors":[{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":540768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prakken, Lawrence B. lprakken@usgs.gov","contributorId":139067,"corporation":false,"usgs":true,"family":"Prakken","given":"Lawrence B.","email":"lprakken@usgs.gov","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":540769,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70141427,"text":"70141427 - 2015 - Large-scale dam removal on the Elwha River, Washington, USA: coastal geomorphic change","interactions":[],"lastModifiedDate":"2015-08-17T14:46:52","indexId":"70141427","displayToPublicDate":"2015-02-18T11:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Large-scale dam removal on the Elwha River, Washington, USA: coastal geomorphic change","docAbstract":"<p><span>Two dams on the Elwha River, Washington State, USA trapped over 20&nbsp;million&nbsp;m</span><sup>3</sup><span>&nbsp;of mud, sand, and gravel since 1927, reducing downstream sediment fluxes and contributing to erosion of the river's coastal delta. The removal of the Elwha and Glines Canyon dams, initiated in September 2011, induced massive increases in river sediment supply and provided an unprecedented opportunity to examine the geomorphic response of a coastal delta to these increases. Detailed measurements of beach topography and nearshore bathymetry show that ~&nbsp;2.5&nbsp;million&nbsp;m</span><sup>3</sup><span>&nbsp;of sediment was deposited during the first two years of dam removal, which is ~&nbsp;100 times greater than deposition rates measured prior to dam removal. The majority of the deposit was located in the intertidal and shallow subtidal region immediately offshore of the river mouth and was composed of sand and gravel. Additional areas of deposition include a secondary sandy deposit to the east of the river mouth and a muddy deposit west of the mouth. A comparison with fluvial sediment fluxes suggests that ~&nbsp;70% of the sand and gravel and ~&nbsp;6% of the mud supplied by the river was found in the survey area (within about 2&nbsp;km of the mouth). A hydrodynamic and sediment transport model, validated with in-situ measurements, shows that tidal currents interacting with the larger relict submarine delta help disperse fine sediment large distances east and west of the river mouth. The model also suggests that waves and currents erode the primary deposit located near the river mouth and transport sandy sediment eastward to form the secondary deposit. Though most of the substrate of the larger relict submarine delta was unchanged during the first two years of dam removal, portions of the seafloor close to the river mouth became finer, modifying habitats for biological communities. These results show that river restoration, like natural changes in river sediment supply, can result in rapid and substantial coastal geomorphological responses.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2015.01.002","usgsCitation":"Gelfenbaum, G.R., Stevens, A.W., Miller, I.M., Warrick, J., Ogston, A.S., and Eidam, E., 2015, Large-scale dam removal on the Elwha River, Washington, USA: coastal geomorphic change: Geomorphology, v. 246, no. 1, p. 649-668, https://doi.org/10.1016/j.geomorph.2015.01.002.","productDescription":"20 p.","startPage":"649","endPage":"668","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058068","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472272,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2015.01.002","text":"Publisher Index Page"},{"id":298024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Elwha River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.74519348144531,\n              47.95636395852882\n            ],\n            [\n              -123.74519348144531,\n              48.24936904607431\n            ],\n            [\n              -123.3380126953125,\n              48.24936904607431\n            ],\n            [\n              -123.3380126953125,\n              47.95636395852882\n            ],\n            [\n              -123.74519348144531,\n              47.95636395852882\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"246","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54e5b7ede4b02d776a669ea3","chorus":{"doi":"10.1016/j.geomorph.2015.01.002","url":"http://dx.doi.org/10.1016/j.geomorph.2015.01.002","publisher":"Elsevier BV","authors":"Gelfenbaum Guy, Stevens Andrew W., Miller Ian, Warrick Jonathan A., Ogston Andrea S., Eidam Emily","journalName":"Geomorphology","publicationDate":"10/2015","publiclyAccessibleDate":"8/15/2016"},"contributors":{"authors":[{"text":"Gelfenbaum, Guy R. 0000-0003-1291-6107 ggelfenbaum@usgs.gov","orcid":"https://orcid.org/0000-0003-1291-6107","contributorId":742,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","email":"ggelfenbaum@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":540757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Andrew W. astevens@usgs.gov","contributorId":3199,"corporation":false,"usgs":true,"family":"Stevens","given":"Andrew","email":"astevens@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":540758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Ian M. 0000-0002-3289-6337","orcid":"https://orcid.org/0000-0002-3289-6337","contributorId":41951,"corporation":false,"usgs":false,"family":"Miller","given":"Ian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":540759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warrick, Jonathan A. jwarrick@usgs.gov","contributorId":1904,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan A.","email":"jwarrick@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":540760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ogston, Andrea S.","contributorId":12119,"corporation":false,"usgs":true,"family":"Ogston","given":"Andrea","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":540761,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eidam, Emily","contributorId":139311,"corporation":false,"usgs":false,"family":"Eidam","given":"Emily","email":"","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":540762,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70137314,"text":"sir20155003 - 2015 - Water-quality characteristics and trends for selected wells possibly influenced by wastewater disposal at the Idaho National Laboratory, Idaho, 1981-2012","interactions":[],"lastModifiedDate":"2015-02-20T13:52:28","indexId":"sir20155003","displayToPublicDate":"2015-02-18T09:45:00","publicationYear":"2015","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":"2015-5003","title":"Water-quality characteristics and trends for selected wells possibly influenced by wastewater disposal at the Idaho National Laboratory, Idaho, 1981-2012","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the U.S.&nbsp;Department of Energy, analyzed water-quality data collected from 64 aquifer wells and 35 perched groundwater wells at the Idaho National Laboratory (INL) from 1981 through 2012. The wells selected for the study were wells that possibly were affected by wastewater disposal at the INL. The data analyzed included tritium, strontium-90, major cations, anions, nutrients, trace elements, total organic carbon, and volatile organic compounds. The analyses were performed to examine water-quality trends that might influence future management decisions about the number of wells to sample at the INL and the type of constituents to monitor.</p>\n<p>The data were processed using custom computer scripts developed in the R programming language. Summary statistics were calculated for the datasets. Water-quality trends were determined using a parametric survival regression model to fit the observed data, including left-censored, interval-censored, and uncensored data. The null hypothesis of the trend test was that no relation existed between time and concentration; the alternate hypothesis was that time and concentration were related through the regression equation. A significance level of 0.05 was selected to determine if the trend was statistically&nbsp;significant.</p>\n<p>Trend test results for tritium and strontium-90 concentrations in aquifer wells indicated that nearly all wells had decreasing or no trends. Similarly, trends in perched groundwater wells were mostly decreasing or no trends; trends were increasing in two perched groundwater wells near the Advanced Test Reactor Complex. Decreasing trends generally are attributed to lack of recent wastewater disposal and radioactive decay.</p>\n<p>Trend test results for chloride, sodium, sulfate, nitrite plus nitrate (as nitrogen), chromium, trace elements, and total organic carbon concentrations in aquifer wells indicated that most wells had either decreasing or no trends. The decreasing trends in these constituents are attributed to decrease in disposal of these constituents, as well as discontinued use of the old percolation ponds south of the Idaho Nuclear Technology and Engineering Center (INTEC) and redirection of wastewater to the new percolation ponds 2 miles southwest of the INTEC in 2002.</p>\n<p>Chloride (along with sodium, sulfate, and some nitrate) concentrations in wells south of the INTEC may be influenced by episodic recharge from the Big Lost River. These constituent concentrations decrease during wetter periods when there is probably more recharge from the Big Lost River and increase during dry periods, when there is less recharge.</p>\n<p>Some wells downgradient of the Central Facilities Area and near the southern boundary of the INL showed increasing trends in sodium concentration, whereas there was no trend in chloride. The increasing trend for sodium could be due to the long term influence of wastewater disposal from upgradient facilities and the lack of trend for chloride could be because chloride is more mobile than sodium and more dispersed in the aquifer system.</p>\n<p>Volatile organic compound concentration trends were analyzed for nine aquifer wells. Trend test results indicated an increasing trend for carbon tetrachloride for the Radioactive Waste Management Complex Production Well for the period 1987&ndash;2012; however, trend analyses of data collected since 2005 show no statistically significant trend indicating that engineering practices designed to reduce movement of volatile organic compounds to the aquifer may be having a positive effect on the aquifer.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155003","collaboration":"Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Davis, L.C., Bartholomay, R.C., Fisher, J.C., and Maimer, N.V., 2015, Water-quality characteristics and trends for selected wells possibly influenced by wastewater disposal at the Idaho National Laboratory, Idaho, 1981-2012: U.S. Geological Survey Scientific Investigations Report 2015-5003, Report: viii, 105 p.; Appendixes A-E, https://doi.org/10.3133/sir20155003.","productDescription":"Report: viii, 105 p.; 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,{"id":70133102,"text":"ds898 - 2015 - Basement domain map of the conterminous United States and Alaska","interactions":[],"lastModifiedDate":"2016-06-29T13:36:05","indexId":"ds898","displayToPublicDate":"2015-02-18T09:15:00","publicationYear":"2015","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":"898","title":"Basement domain map of the conterminous United States and Alaska","docAbstract":"<p>The basement-domain map is a compilation of basement domains in the conterminous United States and Alaska designed to be used at 1:5,000,000-scale, particularly as a base layer for national-scale mineral resource assessments. Seventy-seven basement domains are represented as eighty-three polygons on the map. The domains are based on interpretations of basement composition, origin, and architecture and developed from a variety of sources. Analysis of previously published basement, lithotectonic, and terrane maps as well as models of planetary development were used to formulate the concept of basement and the methodology of defining domains that spanned the ages of Archean to present but formed through different processes. The preliminary compilations for the study areas utilized these maps, national-scale gravity and aeromagnetic data, published and limited new age and isotopic data, limited new field investigations, and conventional geologic maps. Citation of the relevant source data for compilations and the source and types of original interpretation, as derived from different types of data, are provided in supporting descriptive text and tables.</p>\n<p>The tectonic settings for crustal types represented in the basement domains are subdivided into constituent geologic environments and the types of primary metals endowments and deposits in them are documented. The compositions, architecture, and original metals endowments are potentially important to assessments of primary mineral deposits and to the residence and recycling of metals in the crust of the United States portion of the North American continent. The databases can be configured to demonstrate the construction of the United States through time, to identify specific types of crust, or to identify domains potentially containing metal endowments of specific genetic types or endowed with specific metals. The databases can also be configured to illustrate other purposes chosen by users.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds898","usgsCitation":"Lund, K., Box, S.E., Holm-Denoma, C.S., San Juan, C.A., Blakely, R.J., Saltus, R.W., Anderson, E.D., and DeWitt, E., 2015, Basement domain map of the conterminous United States and Alaska: U.S. Geological Survey Data Series 898, Report: iv, 41 p.; Downloads Directory, https://doi.org/10.3133/ds898.","productDescription":"Report: iv, 41 p.; Downloads Directory","numberOfPages":"48","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-053924","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":298007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds898.jpg"},{"id":298005,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0898/pdf/ds898.pdf","text":"Report","size":"11.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":298006,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0898/downloads/","text":"Downloads Directory","linkHelpText":"Contains: geospatial database. 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,{"id":70135973,"text":"ofr20141235 - 2015 - Sediment transport and capacity change in three reservoirs, Lower Susquehanna River Basin, Pennsylvania and Maryland, 1900-2012","interactions":[],"lastModifiedDate":"2017-06-22T09:53:31","indexId":"ofr20141235","displayToPublicDate":"2015-02-18T09:00:00","publicationYear":"2015","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":"2014-1235","title":"Sediment transport and capacity change in three reservoirs, Lower Susquehanna River Basin, Pennsylvania and Maryland, 1900-2012","docAbstract":"<p><span>The U.S. Geological Survey (USGS) has conducted numerous sediment transport studies in the Susquehanna River and in particular in three reservoirs in the Lower Susquehanna River Basin to determine sediment transport rates over the past century and to document changes in storage capacity. The Susquehanna River is the largest tributary to Chesapeake Bay and transports about one-half of the total freshwater input and substantial amounts of sediment and nutrients to the bay. The transported loads are affected by deposition in reservoirs (Lake Clarke, Lake Aldred, and Conowingo Reservoir) behind three hydropower dams. The geometry and texture of the deposited sediments in each reservoir upstream from the three dams has been a subject of research in recent decades. Particle size deposition and sediment scouring processes are part of the reservoir dynamics. A Total Maximum Daily Load (TMDL) for nitrogen, phosphorus, and sediment was established for Chesapeake Bay to attain water-quality standards. Six states and the District of Columbia agreed to reduce loads to the bay and to meet load allocation goals for the TMDL. The USGS has been estimating annual sediment loads at the Susquehanna River at Marietta, Pennsylvania (above Lake Clarke), and Susquehanna River at Conowingo, Maryland (below Conowingo Reservoir), since the mid-1980s to predict the mass balance of sediment transport through the reservoir system. Using streamflow and sediment data from the Susquehanna River at Harrisburg, Pennsylvania (upstream from the reservoirs), from 1900 to 1981, sediment loads were greatest in the early to mid-1900s when land disturbance activities from coal production and agriculture were at their peak. Sediment loads declined in the 1950s with the introduction of agricultural soil conservation practices. Loads were dominated by climatic factors in the 1960s (drought) and 1970s (very wet) and have been declining since the 1980s through 2012. The USGS developed a regression equation to predict the sediment scour load for daily mean streamflows greater than 300,000 cubic feet per second for the Lower Susquehanna River reservoirs. A compilation of data from various sources produced a range in total sediment transported through the reservoir system and allowed for apportioning to source (watershed or scour) for various streamflows. In 2011, Conowingo Reservoir was estimated to be about 92 percent of sediment storage capacity. Since construction of Conowingo Dam in 1929 through 2012, approximately 470 million tons of sediment was transported down the Susquehanna River into the reservoir system, approximately 290 million tons were trapped, and approximately 180 million tons were transported to Chesapeake Bay. Spatial and estimated total sand deposition in Conowingo Reservoir based on historical sediment cores indicated continued migration of sand downgradient toward the dam and the winnowing of silts and clays near the dam due to&nbsp;scour.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141235","usgsCitation":"Langland, M.J., 2015, Sediment transport and capacity change in three reservoirs, Lower Susquehanna River Basin, Pennsylvania and Maryland, 1900-2012: U.S. Geological Survey Open-File Report 2014-1235, vi, 18 p., https://doi.org/10.3133/ofr20141235.","productDescription":"vi, 18 p.","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1900-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-058536","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":297804,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141235.jpg"},{"id":297803,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1235/pdf/ofr2014-1235.pdf","size":"1.2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":297802,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1235/"}],"scale":"24000","country":"United States","state":"Maryland, Pennsylvania","otherGeospatial":"Conowingo Reservoir, Lake Aldred, Lake Clarke, Susquehanna River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.60354614257812,\n              40.04338625950062\n            ],\n            [\n              -76.59942626953125,\n              40.063358664163296\n            ],\n            [\n              -76.53076171875,\n              40.063358664163296\n            ],\n            [\n              -76.44973754882812,\n              39.96870074491696\n            ],\n            [\n              -76.365966796875,\n              39.91605629078665\n            ],\n            [\n              -76.23550415039062,\n              39.761047087593965\n            ],\n            [\n              -76.18057250976562,\n              39.67125632523974\n            ],\n            [\n              -76.19979858398438,\n              39.66068502219227\n            ],\n            [\n              -76.24923706054688,\n              39.69239407904182\n            ],\n            [\n              -76.2725830078125,\n              39.75999140525313\n            ],\n            [\n              -76.35772705078125,\n              39.829631721333726\n            ],\n            [\n              -76.38519287109375,\n              39.86547951378614\n            ],\n            [\n              -76.4044189453125,\n              39.91078961774283\n            ],\n            [\n              -76.48544311523436,\n              39.945542175353026\n            ],\n            [\n              -76.53762817382812,\n              40.04128356064847\n            ],\n            [\n              -76.60354614257812,\n              40.04338625950062\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54e5b7f0e4b02d776a669ea9","contributors":{"authors":[{"text":"Langland, Michael J. 0000-0002-8350-8779 langland@usgs.gov","orcid":"https://orcid.org/0000-0002-8350-8779","contributorId":2347,"corporation":false,"usgs":true,"family":"Langland","given":"Michael","email":"langland@usgs.gov","middleInitial":"J.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537004,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70139648,"text":"70139648 - 2015 - Estuarine water quality in parks of the Northeast Coastal and Barrier Network: vital signs estuarine nutrient-enrichment monitoring, 2006-11","interactions":[],"lastModifiedDate":"2024-04-15T19:43:01.864073","indexId":"70139648","displayToPublicDate":"2015-02-18T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":54,"text":"Natural Resource Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NCBN/NRR - 2015/902","title":"Estuarine water quality in parks of the Northeast Coastal and Barrier Network: vital signs estuarine nutrient-enrichment monitoring, 2006-11","docAbstract":"<p><span>This report summarizes results of water-quality monitoring within estuaries of the National Park Service Northeast Coastal and Barrier Network (NCBN) from 2006 through 2011. Data collection formed part of the NCBN Vital Signs Monitoring Program implemented to detect threats of estuarine nutrient enrichment. Data included here were collected from six parks at predetermined intervals: Cape Cod National Seashore, Massachusetts (2007, 2008, 2009, 2010, 2011); Fire Island National Seashore, New York (2009, 2011); Gateway National Recreation Area, New York and New Jersey (2010); Assateague Island National Seashore, Maryland and Virginia (2006, 2008, 2010); George Washington Birthplace National Monument, Virginia (2009, 2011); and Colonial National Historic Park, Virginia (2008, 2010). Monitoring variables consisted of dissolved-oxygen concentration, chlorophyll a concentration, attenuation of downwelling photosynthetically available radiation (PAR), turbidity, water temperature, and salinity. All monitoring was conducted during four-week summer index periods. The monitoring design incorporated data collection at multiple, complementary spatial and temporal scales. Within each park, a spatial survey was conducted once during the index period following a probability design using a grid of tessellated hexagons as the basis for sample site selection. The spatial survey was supplemented with weekly measurements at a subset of sites and continuous monitoring at a single reference site. Within parks, data were reported as area-weighted water-quality conditions during each index period, the location and extent of estuarine area within condition categories, and spatial and temporal trends. In addition, we used a repeated measures analysis of variance to determine the extent to which variability in three water quality metrics (chlorophyll a in surface water, dissolved oxygen in bottom water, and water clarity expressed by PAR attenuation) was explained by year to year changes in each park's respective estuary.&nbsp;</span></p>","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Caldwell, J.M., Nixon, M.E., Neckles, H.A., and Pooler, P.S., 2015, Estuarine water quality in parks of the Northeast Coastal and Barrier Network: vital signs estuarine nutrient-enrichment monitoring, 2006-11: Natural Resource Technical Report NPS/NCBN/NRR - 2015/902, xxi, 182 p.","productDescription":"xxi, 182 p.","numberOfPages":"208","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2006-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-060474","costCenters":[{"id":371,"text":"Maine Water Science 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,{"id":70144681,"text":"70144681 - 2015 - The 21 May 2014 <i>M</i><sub>w</sub> 5.9 Bay of Bengal earthquake: macroseismic data suggest a high‐stress‐drop event","interactions":[],"lastModifiedDate":"2015-03-31T10:56:24","indexId":"70144681","displayToPublicDate":"2015-02-18T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"The 21 May 2014 <i>M</i><sub>w</sub> 5.9 Bay of Bengal earthquake: macroseismic data suggest a high‐stress‐drop event","docAbstract":"<p><span>A modest but noteworthy&nbsp;</span><i>M</i><sub>w</sub><span>&nbsp;5.9 earthquake occurred in the Bay of Bengal beneath the central Bengal fan at 21:51 Indian Standard Time (16:21 UTC) on 21 May 2014. Centered over 300&nbsp;km from the eastern coastline of India (Fig.&nbsp;1), it caused modest damage by virtue of its location and magnitude. However, shaking was very widely felt in parts of eastern India where earthquakes are uncommon. Media outlets reported as many as four fatalities. Although most deaths were blamed on heart attacks, the death of one woman was attributed by different sources to either a roof collapse or a stampede (see</span><span>&nbsp;Table&nbsp;S1, available in the electronic supplement to this article). Across the state of Odisha, as many as 250 people were injured (see</span><span>&nbsp;Table&nbsp;S1), most after jumping from balconies or terraces. Light damage was reported from a number of towns on coastal deltaic sediments, including collapsed walls and damage to pukka and thatched dwellings. Shaking was felt well inland into east‐central India and was perceptible in multistoried buildings as far as Chennai, Delhi, and Jaipur at distances of &asymp;1600&thinsp;&thinsp;km (Table&nbsp;1).</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220140155","usgsCitation":"Martin, S., and Hough, S.E., 2015, The 21 May 2014 <i>M</i><sub>w</sub> 5.9 Bay of Bengal earthquake: macroseismic data suggest a high‐stress‐drop event: Seismological Research Letters, v. 86, no. 2A, p. 369-377, https://doi.org/10.1785/0220140155.","productDescription":"9 p.","startPage":"369","endPage":"377","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058318","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":472274,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1785/0220140155","text":"External Repository"},{"id":299197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Bay of Bengal","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              79.8486328125,\n              10.401377554543553\n            ],\n            [\n              79.8486328125,\n              11.652236404115413\n            ],\n            [\n              80.4638671875,\n              13.410994034321702\n            ],\n            [\n              80.1123046875,\n              15.496032414238634\n            ],\n            [\n              82.2216796875,\n              16.341225619207496\n            ],\n            [\n              82.529296875,\n              17.014767530557833\n            ],\n            [\n              85.341796875,\n              19.394067895396628\n            ],\n            [\n              86.748046875,\n              20.262197124246534\n            ],\n            [\n              87.1875,\n              20.797201434307\n            ],\n            [\n              87.451171875,\n              21.4121622297254\n            ],\n            [\n              89.56054687499999,\n              21.616579336740603\n            ],\n            [\n              91.0546875,\n              21.90227796666864\n            ],\n            [\n              91.49414062499999,\n              22.024545601240337\n            ],\n            [\n              93.42773437499999,\n              19.228176737766262\n            ],\n            [\n              93.2958984375,\n              18.47960905583197\n            ],\n            [\n              93.8671875,\n              18.271086109608877\n            ],\n            [\n              94.39453125,\n              17.43451055152291\n            ],\n            [\n              94.1748046875,\n              16.003575733881327\n            ],\n            [\n              92.8564453125,\n              13.025965926333539\n            ],\n            [\n              92.28515625,\n              10.14193168613103\n            ],\n            [\n              93.4716796875,\n              7.013667927566642\n            ],\n            [\n              92.2412109375,\n              5.79089681287197\n            ],\n            [\n              88.0224609375,\n              4.959615024698026\n            ],\n            [\n              83.1005859375,\n              5.266007882805511\n            ],\n            [\n              82.0458984375,\n              7.318881730366756\n            ],\n            [\n              79.8486328125,\n              10.401377554543553\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"86","issue":"2A","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-18","publicationStatus":"PW","scienceBaseUri":"551bc52ee4b0323842783a59","contributors":{"authors":[{"text":"Martin, Stacey","contributorId":35165,"corporation":false,"usgs":false,"family":"Martin","given":"Stacey","affiliations":[{"id":5110,"text":"Earth Observatory of Singapore, Nanyang Technological University","active":true,"usgs":false}],"preferred":false,"id":543768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":543767,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70138661,"text":"ofr20131070 - 2015 - Environmental assessment of water, sediment, and biota collected from the Bear Creek watershed, Colusa County, California","interactions":[],"lastModifiedDate":"2015-02-18T09:08:52","indexId":"ofr20131070","displayToPublicDate":"2015-02-17T17:30:00","publicationYear":"2015","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":"2013-1070","title":"Environmental assessment of water, sediment, and biota collected from the Bear Creek watershed, Colusa County, California","docAbstract":"<p>The Cache Creek watershed lies within California's North Coast Range, an area with abundant geologic sources of mercury (Hg) and a long history of Hg contamination (Rytuba, 2000). Bear Creek, Cache Creek, and the North Fork of Cache Creek are the major streams of the Cache Creek watershed, encompassing 2978 km<sup>2</sup>. The Cache Creek watershed contains soils naturally enriched in Hg as well as natural springs (both hot and cold) with varying levels of aqueous Hg (Domagalski and others, 2004, Suchanek and others, 2004, Holloway and others 2009). All three tributaries are known to be significant sources of anthropogenically derived Hg from historic mines, both Hg and gold (Au), and associated ore storage/processing sites and facilities (Slotton and others, 1995, 2004; CVRWQCB, 2003; Schwarzbach and others, 2001; Gassel and others, 2005; Suchanek and others., 2004, 2008a, 2009). Historically, two of the primary sources of mercury contamination in the upper part of Bear Creek have been the Rathburn and Petray Hg Mines. <br /><br />The Rathburn Hg mine was discovered and initially mined in the early 1890s. The Rathburn and the more recently developed Petray open pit mines are localized along fault zones in serpentinite that has been altered and cut by quartz and chalcedony veins. Cold saline-carbonate springs are located perepheral to the Hg deposits and effluent from the springs locally has high concentrations of Hg (Slowey and Rytuba, 2008). Several ephemeral tributaries to Bear Creek drain the mine area which is located on federal land managed by the U.S. Bureau of Land Management (USBLM). The USBLM requested that the U.S. Geological Survey (USGS) measure and characterize Hg and other geochemical constituents in sediment, water, and biota to establish baseline information prior to remediation of the Rathburn and Petray mines. Samples sites were established in Bear Creek upstream and downstream from the mine area. This report is made in response to the USBLM request, the lead agency mandated to conduct a Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) - Removal Site Investigation (RSI). The RSI applies to the possible removal of Hg-contaminated mine waste from Bear Creek. <br /><br />This report summarizes data obtained from field sampling of water, sediment, and biota in Bear Creek, above input from the mine area and downstream from the Rathburn-Petray mine area to the confluence with Cache Creek. Our results permit a preliminary assessment of the chemical constituents that could elevate levels of monomethyl Hg (MMeHg) in Bear Creek and its uptake by biota and provide baseline information for comparison to conditions after mine remediation is completed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131070","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Rytuba, J.J., Hothem, R.L., Brussee, B.E., Goldstein, D., and May, J.T., 2015, Environmental assessment of water, sediment, and biota collected from the Bear Creek watershed, Colusa County, California: U.S. Geological Survey Open-File Report 2013-1070, viii, 83 p., https://doi.org/10.3133/ofr20131070.","productDescription":"viii, 83 p.","numberOfPages":"91","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-042406","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":298002,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131070.gif"},{"id":298000,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1070/"},{"id":298001,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1070/downloads/ofr2013-1070.pdf","text":"Report","size":"16.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OF 2013-1070 Report"}],"country":"United States","state":"California","county":"Colusa County","otherGeospatial":"Bear Creek Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.16659545898438,\n              39.118341154165186\n            ],\n            [\n              -122.16659545898438,\n              39.31676914869444\n            ],\n            [\n              -121.80198669433592,\n              39.31676914869444\n            ],\n            [\n              -121.80198669433592,\n              39.118341154165186\n            ],\n            [\n              -122.16659545898438,\n              39.118341154165186\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54e46629e4b08de9379b5547","contributors":{"authors":[{"text":"Rytuba, James J. jrytuba@usgs.gov","contributorId":3043,"corporation":false,"usgs":true,"family":"Rytuba","given":"James","email":"jrytuba@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":540712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hothem, Roger L. roger_hothem@usgs.gov","contributorId":1721,"corporation":false,"usgs":true,"family":"Hothem","given":"Roger","email":"roger_hothem@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":540713,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brussee, Brianne E. 0000-0002-2452-7101 bbrussee@usgs.gov","orcid":"https://orcid.org/0000-0002-2452-7101","contributorId":4249,"corporation":false,"usgs":true,"family":"Brussee","given":"Brianne","email":"bbrussee@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":540714,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldstein, Daniel dgoldstein@usgs.gov","contributorId":4656,"corporation":false,"usgs":true,"family":"Goldstein","given":"Daniel","email":"dgoldstein@usgs.gov","affiliations":[],"preferred":true,"id":540715,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"May, Jason T. 0000-0002-5699-2112 jasonmay@usgs.gov","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":617,"corporation":false,"usgs":true,"family":"May","given":"Jason","email":"jasonmay@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":540716,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70137844,"text":"70137844 - 2015 - Yellowstone plume trigger for Basin and Range extension, and coeval emplacement of the Nevada–Columbia Basin magmatic belt","interactions":[],"lastModifiedDate":"2021-08-31T14:58:18.760265","indexId":"70137844","displayToPublicDate":"2015-02-17T11:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Yellowstone plume trigger for Basin and Range extension, and coeval emplacement of the Nevada–Columbia Basin magmatic belt","docAbstract":"<p>Widespread extension began across the northern and central Basin and Range Province at 17&ndash;16 Ma, contemporaneous with magmatism along the Nevada&ndash;Columbia Basin magmatic belt, a linear zone of dikes and volcanic centers that extends for &gt;1000 km, from southern Nevada to the Columbia Basin of eastern Washington. This belt was generated above an elongated sublithospheric melt zone associated with arrival of the Yellowstone mantle plume, with a north-south tabular shape attributed to plume ascent through a propagating fracture in the Juan de Fuca slab. Dike orientation along the magmatic belt suggests an extension direction of 245&deg;&ndash;250&deg;, but this trend lies oblique to the regional extension direction of 280&deg;&ndash;300&deg; during coeval and younger Basin and Range faulting, an &sim;45&deg; difference. Field relationships suggest that this magmatic trend was not controlled by regional stress in the upper crust, but rather by magma overpressure from below and forceful dike injection with an orientation inherited from a deeper process in the sublithospheric mantle. The southern half of the elongated zone of mantle upwelling was emplaced beneath a cratonic lithosphere with an elevated surface derived from Late Cretaceous to mid-Tertiary crustal thickening. This high Nevadaplano was primed for collapse with high gravitational potential energy under the influence of regional stress, partly derived from boundary forces due to Pacific&ndash;North American plate interaction. Plume arrival at 17&ndash;16 Ma resulted in advective thermal weakening of the lithosphere, mantle traction, delamination, and added buoyancy to the northern and central Basin and Range. It was not the sole cause of Basin and Range extension, but rather the catalyst for extension of the Nevadaplano, which was already on the verge of regional collapse.</p>","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder","doi":"10.1130/GES01051.1","usgsCitation":"Camp, V., Pierce, K.L., and Morgan Morzel, L., 2015, Yellowstone plume trigger for Basin and Range extension, and coeval emplacement of the Nevada–Columbia Basin magmatic belt: Geosphere, v. 11, no. 2, p. 203-225, https://doi.org/10.1130/GES01051.1.","productDescription":"23 p.","startPage":"203","endPage":"225","numberOfPages":"23","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062304","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":472275,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01051.1","text":"Publisher Index Page"},{"id":310249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.43115234375,\n              36.96744946416931\n            ],\n            [\n              -124.43115234375,\n              46.830133640447386\n            ],\n            [\n              -113.51074218749999,\n              46.830133640447386\n            ],\n            [\n              -113.51074218749999,\n              36.96744946416931\n            ],\n            [\n              -124.43115234375,\n              36.96744946416931\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5628b74fe4b0d158f5926c68","contributors":{"authors":[{"text":"Camp, Victor E","contributorId":138632,"corporation":false,"usgs":false,"family":"Camp","given":"Victor E","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":538160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pierce, Kenneth L. kpierce@usgs.gov","contributorId":1609,"corporation":false,"usgs":true,"family":"Pierce","given":"Kenneth","email":"kpierce@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":538161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morgan Morzel, Lisa Ann lmorgan@usgs.gov","contributorId":761,"corporation":false,"usgs":true,"family":"Morgan Morzel","given":"Lisa Ann","email":"lmorgan@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":538159,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70141292,"text":"70141292 - 2015 - The dominance of introduced plant species in the diets of migratory Galapagos tortoises increases with elevation on a human-occupied island","interactions":[],"lastModifiedDate":"2015-03-09T10:56:48","indexId":"70141292","displayToPublicDate":"2015-02-17T10:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1045,"text":"Biotropica","active":true,"publicationSubtype":{"id":10}},"title":"The dominance of introduced plant species in the diets of migratory Galapagos tortoises increases with elevation on a human-occupied island","docAbstract":"<p>The distribution of resources and food selection are fundamental to the ecology, life history, physiology, population dynamics, and conservation of animals. Introduced plants are changing foraging dynamics of herbivores in many ecosystems often with unknown consequences. Galapagos tortoises, like many herbivores, undertake migrations along elevation gradients driven by variability in vegetation productivity which take them into upland areas dominated by introduced plants. We sought to characterize diet composition of two species of Galapagos tortoises, focussing on how the role of introduced forage species changes over space and the implications for tortoise conservation. We quantified the distribution of tortoises with elevation using GPS telemetry. Along the elevation gradient, we quantified the abundance of introduced and native plant species, estimated diet composition by recording foods consumed by tortoises, and assessed tortoise physical condition from body weights and blood parameter values. Tortoises ranged between 0 and 429 m in elevation over which they consumed at least 64 plant species from 26 families, 44 percent of which were introduced species. Cover of introduced species and the proportion of introduced species in tortoise diets increased with elevation. Introduced species were positively selected for by tortoises at all elevations. Tortoise physical condition was either consistent or increased with elevation at the least biologically productive season on Galapagos. Santa Cruz tortoises are generalist herbivores that have adapted their feeding behavior to consume many introduced plant species that has likely made a positive contribution to tortoise nutrition. Some transformed habitats that contain an abundance of introduced forage species are compatible with tortoise conservation.</p>","language":"English","publisher":"Wiley-Blackwell Publishing, Inc.","doi":"10.1111/btp.12195","usgsCitation":"Blake, S., Guezou, A., Deem, S.L., Yackulic, C.B., and Cabrera, F., 2015, The dominance of introduced plant species in the diets of migratory Galapagos tortoises increases with elevation on a human-occupied island: Biotropica, v. 47, no. 2, p. 246-258, https://doi.org/10.1111/btp.12195.","productDescription":"13 p.","startPage":"246","endPage":"258","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057320","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":297997,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ecuador","otherGeospatial":"Galapagos Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.97753906249999,\n              -1.8398936649834996\n            ],\n            [\n              -91.97753906249999,\n              1.1315182387740395\n            ],\n            [\n              -88.857421875,\n              1.1315182387740395\n            ],\n            [\n              -88.857421875,\n              -1.8398936649834996\n            ],\n            [\n              -91.97753906249999,\n              -1.8398936649834996\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-13","publicationStatus":"PW","scienceBaseUri":"54e4662ce4b08de9379b5549","contributors":{"authors":[{"text":"Blake, Stephen","contributorId":65339,"corporation":false,"usgs":false,"family":"Blake","given":"Stephen","email":"","affiliations":[{"id":30787,"text":"Saint Louis University","active":true,"usgs":false},{"id":12472,"text":"Max Planck Institute for Ornithology","active":true,"usgs":false}],"preferred":false,"id":540656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guezou, Anne","contributorId":139276,"corporation":false,"usgs":false,"family":"Guezou","given":"Anne","email":"","affiliations":[{"id":12718,"text":"Charles Darwin Foundation","active":true,"usgs":false}],"preferred":false,"id":540657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deem, Sharon L.","contributorId":139277,"corporation":false,"usgs":false,"family":"Deem","given":"Sharon","email":"","middleInitial":"L.","affiliations":[{"id":12719,"text":"Whitney R. Harris, World Ecology Center, Uni. of Missouri St. Louis","active":true,"usgs":false}],"preferred":false,"id":540658,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":540659,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cabrera, Fredy","contributorId":139278,"corporation":false,"usgs":false,"family":"Cabrera","given":"Fredy","affiliations":[{"id":12718,"text":"Charles Darwin Foundation","active":true,"usgs":false}],"preferred":false,"id":540660,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70142050,"text":"70142050 - 2015 - Using motion-sensor camera technology to infer seasonal activity and thermal niche of the desert tortoise (<i>Gopherus agassizii</i>)","interactions":[],"lastModifiedDate":"2015-03-09T11:06:02","indexId":"70142050","displayToPublicDate":"2015-02-17T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2476,"text":"Journal of Thermal Biology","active":true,"publicationSubtype":{"id":10}},"title":"Using motion-sensor camera technology to infer seasonal activity and thermal niche of the desert tortoise (<i>Gopherus agassizii</i>)","docAbstract":"<p><span>Understanding the relationships between environmental variables and wildlife activity is an important part of effective management. The desert tortoise (</span><i>Gopherus agassizii</i><span>), an imperiled species of arid environments in the southwest US, may have increasingly restricted windows for activity due to current warming trends. In summer 2013, we deployed 48 motion sensor cameras at the entrances of tortoise burrows to investigate the effects of temperature, sex, and day of the year on the activity of desert tortoises. Using generalized estimating equations, we found that the relative probability of activity was associated with temperature (linear and quadratic), sex, and day of the year. Sex effects showed that male tortoises are generally more active than female tortoises. Temperature had a quadratic effect, indicating that tortoise activity was heightened at a range of temperatures. In addition, we found significant support for interactions between sex and day of the year, and sex and temperature as predictors of the probability of activity. Using our models, we were able to estimate air temperatures and times (days and hours) that were associated with maximum activity during the study. Because tortoise activity is constrained by environmental conditions such as temperature, it is increasingly vital to conduct studies on how tortoises vary their activity throughout the Sonoran Desert to better understand the effects of a changing climate.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jtherbio.2015.02.009","usgsCitation":"Agha, M., Augustine, B., Lovich, J.E., Delaney, D.F., Sinervo, B., Murphy, M.O., Ennen, J., Briggs, J.R., Cooper, R.J., and Price, S.J., 2015, Using motion-sensor camera technology to infer seasonal activity and thermal niche of the desert tortoise (<i>Gopherus agassizii</i>): Journal of Thermal Biology, v. 49-50, p. 119-126, https://doi.org/10.1016/j.jtherbio.2015.02.009.","productDescription":"8 p.","startPage":"119","endPage":"126","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059750","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":298177,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Riverside County","city":"Palm Springs","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.71874999999999,\n              33.502468829034314\n            ],\n            [\n              -116.71874999999999,\n              33.994611584814606\n            ],\n            [\n              -116.30813598632812,\n              33.994611584814606\n            ],\n            [\n              -116.30813598632812,\n              33.502468829034314\n            ],\n            [\n              -116.71874999999999,\n              33.502468829034314\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"49-50","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f1954be4b02419550ceb05","contributors":{"authors":[{"text":"Agha, Mickey","contributorId":22235,"corporation":false,"usgs":false,"family":"Agha","given":"Mickey","email":"","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false},{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":541580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Augustine, Benjamin","contributorId":139507,"corporation":false,"usgs":false,"family":"Augustine","given":"Benjamin","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":541581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":541579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Delaney, David F.","contributorId":41797,"corporation":false,"usgs":false,"family":"Delaney","given":"David","email":"","middleInitial":"F.","affiliations":[{"id":27261,"text":"U.S. Army Construction Engineering Research Laboratory, Champaig","active":true,"usgs":false}],"preferred":false,"id":541582,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sinervo, Barry","contributorId":139508,"corporation":false,"usgs":false,"family":"Sinervo","given":"Barry","email":"","affiliations":[{"id":12781,"text":"Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA 95064, USA. lizardrps@gmail.com","active":true,"usgs":false}],"preferred":false,"id":541583,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murphy, Mason O.","contributorId":139509,"corporation":false,"usgs":false,"family":"Murphy","given":"Mason","email":"","middleInitial":"O.","affiliations":[{"id":12782,"text":"Department of Biology, University of Kentucky, Lexington, KY 40546, USA.  mason.murphy@uky.edu","active":true,"usgs":false}],"preferred":false,"id":541584,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ennen, Joshua R.","contributorId":60368,"corporation":false,"usgs":false,"family":"Ennen","given":"Joshua R.","affiliations":[{"id":13216,"text":"Tennessee Aquarium Conservation Institute","active":true,"usgs":false}],"preferred":false,"id":541585,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Briggs, Jessica R.","contributorId":139510,"corporation":false,"usgs":false,"family":"Briggs","given":"Jessica","email":"","middleInitial":"R.","affiliations":[{"id":12783,"text":"Warner College of Natural Resources, Colorado State University, Fort Collins, CO 80523, USA","active":true,"usgs":false}],"preferred":false,"id":541588,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cooper, Robert J.","contributorId":99245,"corporation":false,"usgs":false,"family":"Cooper","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":541586,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Price, Steven J. 0000-0002-2388-0579","orcid":"https://orcid.org/0000-0002-2388-0579","contributorId":57738,"corporation":false,"usgs":false,"family":"Price","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":541587,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70139718,"text":"ds905 - 2015 - Estuarine bed-sediment-quality data collected in New Jersey and New York after Hurricane Sandy, 2013","interactions":[],"lastModifiedDate":"2015-02-16T10:00:19","indexId":"ds905","displayToPublicDate":"2015-02-16T11:00:00","publicationYear":"2015","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":"905","title":"Estuarine bed-sediment-quality data collected in New Jersey and New York after Hurricane Sandy, 2013","docAbstract":"<p>This report describes a reconnaissance study of estuarine bed-sediment quality conducted June&ndash;October 2013 in New Jersey and New York after Hurricane Sandy in October 2012 to assess the extent of contamination and the potential long-term human and ecological impacts of the storm. The study, funded through the Disaster Relief Appropriations Act of 2013 (PL 113-2), was conducted by the U.S. Geological Survey in cooperation with the U.S. Environmental Protection Agency and the National Oceanographic and Atmospheric Administration. In addition to presenting the bed-sediment-quality data, the report describes the study design, documents the methods of sample collection and analysis, and discusses the steps taken to assure the quality of&nbsp;the&nbsp;data.</p>\n<p>Bed-sediment samples were collected from June to October 2013 from 167 estuarine sites extending from Cape May, New Jersey, to the New York Harbor and the eastern end of Long Island. Each sampling location and study region was characterized by using geographic information to identify potential contaminant sources. Characterizations included land cover, locations and types of businesses (industrial, financial, and others), spills (sewage, chemical, and others), bulk storage facilities, effluent discharges within 2&nbsp;kilometers of the sampling point, and discharges within inundated and non-inundated regions near the sampling location. Samples were analyzed for particle size, total organic carbon, metals and trace elements, semivolatile organic compounds, wastewater compounds, hormones, and sediment toxicity. Samples were also screened using x-ray fluorescence, Fourier transform infrared spectroscopy, and x-ray diffraction. In addition, bioassays for endocrine disruptors and protein phosphatase 2A inhibition were conducted. The study was designed to provide the data needed to understand the extent and sources of contamination resulting from Hurricane Sandy, to compare the chemistry and toxicity of estuarine bed sediments before and after the storm, and to evaluate the usefulness of rapid screening and bioassay approaches in&nbsp;disaster&nbsp;settings.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds905","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency, National Oceanic and Atmospheric Administration, New Jersey Department of Environmental Protection, New York State Department of Environmental Conservation, New York City Department of Environmental Protection, Suffolk County Department of Health Services, and Town of Hempstead","usgsCitation":"Fischer, J., Phillips, P., Reilly, T.J., Focazio, M.J., Loftin, K.A., Benzel, W., Jones, D.K., Smalling, K., Fisher, S.C., Fisher, I., Iwanowicz, L., Romanok, K., Jenkins, D.E., Bowers, L., Boehlke, A., Foreman, W., Deetz, A., Carper, L.G., Imbrigiotta, T., and Birdwell, J.E., 2015, Estuarine bed-sediment-quality data collected in New Jersey and New York after Hurricane Sandy, 2013: U.S. Geological Survey Data Series 905, Report: xiv, 42 p.; 38 Tables; Downloads Directory, https://doi.org/10.3133/ds905.","productDescription":"Report: xiv, 42 p.; 38 Tables; Downloads Directory","numberOfPages":"50","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058012","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":297994,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds905.jpg"},{"id":297990,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0905/"},{"id":297991,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0905/support/pdf/ds905.pdf","text":"Report","size":"7.5 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djenkins@usgs.gov","contributorId":5700,"corporation":false,"usgs":true,"family":"Jenkins","given":"Darkus","email":"djenkins@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":539602,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Bowers, Luke","contributorId":138987,"corporation":false,"usgs":false,"family":"Bowers","given":"Luke","email":"","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. 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,{"id":70133125,"text":"tm6B7 - 2015 - PRMS-IV, the precipitation-runoff modeling system, version 4","interactions":[],"lastModifiedDate":"2015-02-19T14:27:24","indexId":"tm6B7","displayToPublicDate":"2015-02-16T08:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-B7","title":"PRMS-IV, the precipitation-runoff modeling system, version 4","docAbstract":"<p><span>Computer models that simulate the hydrologic cycle at a watershed scale facilitate assessment of variability in climate, biota, geology, and human activities on water availability and flow. This report describes an updated version of the Precipitation-Runoff Modeling System. The Precipitation-Runoff Modeling System is a deterministic, distributed-parameter, physical-process-based modeling system developed to evaluate the response of various combinations of climate and land use on streamflow and general watershed hydrology. Several new model components were developed, and all existing components were updated, to enhance performance and supportability. This report describes the history, application, concepts, organization, and mathematical formulation of the Precipitation-Runoff Modeling System and its model components. This updated version provides improvements in (1) system flexibility for integrated science, (2) verification of conservation of water during simulation, (3) methods for spatial distribution of climate boundary conditions, and (4) methods for simulation of soil-water flow and storage.</span></p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section C: Surface water in Book 6 <i>Modeling Techniques</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6B7","usgsCitation":"Markstrom, S., Regan, R.S., Hay, L.E., Viger, R., Webb, R.M., Payn, R.A., and LaFontaine, J., 2015, PRMS-IV, the precipitation-runoff modeling system, version 4: U.S. Geological Survey Techniques and Methods 6-B7, vii, 158 p., https://doi.org/10.3133/tm6B7.","productDescription":"vii, 158 p.","numberOfPages":"169","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-045397","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":438724,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LVUWDC","text":"USGS data release","linkHelpText":"Precipitation Runoff Modeling System (PRMS) version 5.2.1"},{"id":438723,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HJ5TKZ","text":"USGS data release","linkHelpText":"Precipitation Runoff Modeling System (PRMS) version 5.2.0"},{"id":438722,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EMVKHC","text":"USGS data release","linkHelpText":"Precipitation Runoff Modeling System (PRMS) version 5.1.0"},{"id":438721,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9X17IC9","text":"USGS data release","linkHelpText":"GSFLOW: Coupled Groundwater and Surface-Water Flow Model, version 2.1.0"},{"id":438720,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91FBZOB","text":"USGS data release","linkHelpText":"PRMS version 5.0.0: Precipitation-Runoff Modeling System"},{"id":298054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm6b7.jpg"},{"id":297968,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/6b7/"},{"id":297988,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/6b7/pdf/tm6-b7.pdf","text":"Report","size":"6.75 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"publicComments":"This report is Chapter 7 of Section B: Surface Water in Book 6 <i>Modeling Techniques</i>.","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54e71739e4b02d776a66a016","contributors":{"authors":[{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":1986,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven L.","email":"markstro@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":540583,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Regan, R. Steve 0000-0003-4803-8596 rsregan@usgs.gov","orcid":"https://orcid.org/0000-0003-4803-8596","contributorId":2633,"corporation":false,"usgs":true,"family":"Regan","given":"R.","email":"rsregan@usgs.gov","middleInitial":"Steve","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":540585,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":540582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Viger, Roland J. 0000-0003-2520-714X rviger@usgs.gov","orcid":"https://orcid.org/0000-0003-2520-714X","contributorId":1204,"corporation":false,"usgs":true,"family":"Viger","given":"Roland J.","email":"rviger@usgs.gov","affiliations":[],"preferred":false,"id":540586,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Webb, Richard M. 0000-0001-9531-2207 rmwebb@usgs.gov","orcid":"https://orcid.org/0000-0001-9531-2207","contributorId":1570,"corporation":false,"usgs":true,"family":"Webb","given":"Richard","email":"rmwebb@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":540584,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Payn, Robert A.","contributorId":127363,"corporation":false,"usgs":false,"family":"Payn","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":6765,"text":"Montana State University, Department of Land Resources and Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":540587,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"LaFontaine, Jacob H.","contributorId":127364,"corporation":false,"usgs":false,"family":"LaFontaine","given":"Jacob H.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address:  TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":540588,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70143925,"text":"70143925 - 2015 - Quantification of colloidal and aqueous element transfer in soils: The dual-phase mass balance model","interactions":[],"lastModifiedDate":"2015-03-24T09:47:20","indexId":"70143925","displayToPublicDate":"2015-02-15T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Quantification of colloidal and aqueous element transfer in soils: The dual-phase mass balance model","docAbstract":"<p>Mass balance models have become standard tools for characterizing element gains and losses and volumetric change during weathering and soil development. However, they rely on the assumption of complete immobility for an index element such as Ti or Zr. Here we describe a dual-phase mass balance model that eliminates the need for an assumption of immobility and in the process quantifies the contribution of aqueous versus colloidal element transfer. In the model, the high field strength elements Ti and Zr are assumed to be mobile only as suspended solids (colloids) and can therefore be used to distinguish elemental redistribution via colloids from redistribution via dissolved aqueous solutes. Calculations are based upon element concentrations in soil, parent material, and colloids dispersed from soil in the laboratory. We illustrate the utility of this model using a catena in South Africa. Traditional mass balance models systematically distort elemental gains and losses and changes in soil volume in this catena due to significant redistribution of Zr-bearing colloids. Applying the dual-phase model accounts for this colloidal redistribution and we find that the process accounts for a substantial portion of the major element (e.g., Al, Fe and Si) loss from eluvial soil. In addition, we find that in illuvial soils along this catena, gains of colloidal material significantly offset aqueous elemental loss. In other settings, processes such as accumulation of exogenous dust can mimic the geochemical effects of colloid redistribution and we suggest strategies for distinguishing between the two. The movement of clays and colloidal material is a major process in weathering and pedogenesis; the mass balance model presented here is a tool for quantifying effects of that process over time scales of soil development.</p>","language":"English","publisher":"Geochemical Society","publisherLocation":"New York, NY","doi":"10.1016/j.gca.2014.12.008","usgsCitation":"Bern, C., Thompson, A., and Chadwick, O.A., 2015, Quantification of colloidal and aqueous element transfer in soils: The dual-phase mass balance model: Geochimica et Cosmochimica Acta, v. 151, p. 1-18, https://doi.org/10.1016/j.gca.2014.12.008.","productDescription":"18 p.","startPage":"1","endPage":"18","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053366","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":472276,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.escholarship.org/uc/item/4801646x","text":"External Repository"},{"id":298894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"151","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55128ab2e4b02e76d75bd61c","contributors":{"authors":[{"text":"Bern, Carleton R. cbern@usgs.gov","contributorId":139818,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton R.","email":"cbern@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":543113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Aaron","contributorId":139820,"corporation":false,"usgs":false,"family":"Thompson","given":"Aaron","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":543114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chadwick, Oliver A.","contributorId":88244,"corporation":false,"usgs":false,"family":"Chadwick","given":"Oliver","email":"","middleInitial":"A.","affiliations":[{"id":6710,"text":"University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":543115,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70145963,"text":"70145963 - 2015 - Anticoagulant rodenticides in urban bobcats: exposure, risk factors and potential effects based on a 16-year study","interactions":[],"lastModifiedDate":"2015-04-10T15:02:08","indexId":"70145963","displayToPublicDate":"2015-02-15T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Anticoagulant rodenticides in urban bobcats: exposure, risk factors and potential effects based on a 16-year study","docAbstract":"<p><span>Anticoagulant rodenticides (ARs) are increasingly recognized as a threat to nontarget wildlife. High exposure to ARs has been documented globally in nontarget predatory species and linked to the high prevalence of an ectoparasitic disease, notoedric mange. In southern California, mange associated with AR exposure has been the proximate cause of a bobcat (</span><i class=\"a-plus-plus\">Lynx rufus</i><span>) population decline. We measured AR exposure in bobcats from two areas in southern California, examining seasonal, demographic and spatial risk factors across landscapes including natural and urbanized areas. The long-term study included bobcats sampled over a 16-year period (1997&ndash;2012) and a wide geographic area. We sampled blood (</span><i class=\"a-plus-plus\">N</i><span>&nbsp;=&nbsp;206) and liver (</span><i class=\"a-plus-plus\">N</i><span>&nbsp;=&nbsp;172) to examine exposure ante- and post-mortem. We detected high exposure prevalence (89&nbsp;%, liver; 39&nbsp;%, blood) and for individuals with paired liver and blood data (</span><i class=\"a-plus-plus\">N</i><span>&nbsp;=&nbsp;64), 92&nbsp;% were exposed. Moreover, the animals with the most complete sampling were exposed most frequently to three or more compounds. Toxicant exposure was associated with commercial, residential, and agricultural development. Bobcats of both sexes and age classes were found to be at high risk of exposure, and we documented fetal transfer of multiple ARs. We found a strong association between certain levels of exposure (ppm), and between multiple AR exposure events, and notoedric mange. AR exposure was prevalent throughout both regions sampled and throughout the 16-year time period in the long-term study. ARs pose a substantial threat to bobcats, and likely other mammalian and avian predators, living at the urban-wildland interface.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10646-015-1429-5","usgsCitation":"Serieys, L., Armenta, T.C., Moriarty, J.G., Boydston, E.E., Lyren, L.M., Poppenga, R.H., Crooks, K.R., Wayne, R.K., and Riley, S., 2015, Anticoagulant rodenticides in urban bobcats: exposure, risk factors and potential effects based on a 16-year study: Ecotoxicology, v. 24, no. 4, p. 844-862, https://doi.org/10.1007/s10646-015-1429-5.","productDescription":"19 p.","startPage":"844","endPage":"862","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056299","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":299586,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-25","publicationStatus":"PW","scienceBaseUri":"5528f42ae4b026915857cb0b","contributors":{"authors":[{"text":"Serieys, Laurel E.K.","contributorId":86695,"corporation":false,"usgs":false,"family":"Serieys","given":"Laurel E.K.","affiliations":[{"id":7081,"text":"University of California - Los Angeles","active":true,"usgs":false}],"preferred":false,"id":544545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Armenta, Tiffany C.","contributorId":140162,"corporation":false,"usgs":false,"family":"Armenta","given":"Tiffany","email":"","middleInitial":"C.","affiliations":[{"id":7081,"text":"University of California - Los Angeles","active":true,"usgs":false}],"preferred":false,"id":544547,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moriarty, Joanne G.","contributorId":140163,"corporation":false,"usgs":false,"family":"Moriarty","given":"Joanne","email":"","middleInitial":"G.","affiliations":[{"id":6924,"text":"National Park Service, Upper Columbia Basin Network","active":true,"usgs":false}],"preferred":false,"id":544548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boydston, Erin E. 0000-0002-8452-835X eboydston@usgs.gov","orcid":"https://orcid.org/0000-0002-8452-835X","contributorId":1705,"corporation":false,"usgs":true,"family":"Boydston","given":"Erin","email":"eboydston@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":544544,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lyren, Lisa M. llyren@usgs.gov","contributorId":2398,"corporation":false,"usgs":true,"family":"Lyren","given":"Lisa","email":"llyren@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":544546,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Poppenga, Robert H.","contributorId":76063,"corporation":false,"usgs":false,"family":"Poppenga","given":"Robert","email":"","middleInitial":"H.","affiliations":[{"id":7082,"text":"University of California - Davis","active":true,"usgs":false}],"preferred":false,"id":544549,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Crooks, Kevin R.","contributorId":51137,"corporation":false,"usgs":false,"family":"Crooks","given":"Kevin","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":544550,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wayne, Robert K.","contributorId":80948,"corporation":false,"usgs":false,"family":"Wayne","given":"Robert","email":"","middleInitial":"K.","affiliations":[{"id":7081,"text":"University of California - Los Angeles","active":true,"usgs":false}],"preferred":false,"id":544551,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Riley, Seth P. D.","contributorId":113734,"corporation":false,"usgs":false,"family":"Riley","given":"Seth P. D.","affiliations":[{"id":6924,"text":"National Park Service, Upper Columbia Basin Network","active":true,"usgs":false}],"preferred":false,"id":544552,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70164523,"text":"70164523 - 2015 - Re–Os age for the Lower–Middle Pennsylvanian Boundary and comparison with associated palynoflora","interactions":[],"lastModifiedDate":"2016-02-09T13:36:42","indexId":"70164523","displayToPublicDate":"2015-02-15T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Re–Os age for the Lower–Middle Pennsylvanian Boundary and comparison with associated palynoflora","docAbstract":"<div class=\"abstract svAbstract \" data-etype=\"ab\">\n<p id=\"sp0005\">The Betsie Shale Member is a relatively thick and continuous unit that serves as a marker bed across the central Appalachian basin, in part because it includes an organic-rich shale unit at its base that is observable in drill logs. Deposited during a marine transgression, the Betsie Shale Member has been correlated to units in both Wales and Germany and has been proposed to mark the boundary between the Lower and Middle Pennsylvanian Series within North America. This investigation assigns a new Re&ndash;Os date to the base of the Betsie and examines the palynoflora and maceral composition of the underlying Matewan coal bed in the context of that date. The Matewan coal bed contains abundant lycopsid tree spores along its base with assemblage diversity and inertinite content increasing upsection, as sulfur content and ash yield decrease. Taken together, these palynologic and organic petrographic results suggest a submerged paleomire that transitioned to an exposed peat surface. Notably, separating the lower and upper benches of the Matewan is a parting with very high sulfur content (28&nbsp;wt.%), perhaps representing an early marine pulse prior to the full on transgression responsible for depositing the Betsie. Results from Re&ndash;Os geochronology date the base of the Betsie at 323&nbsp;&plusmn;&nbsp;7.8&nbsp;Ma, consistent with previously determined age constraints as well as the palynoflora assemblage presented herein. The Betsie Shale Member is also highly enriched in Re (ranging from 319.7 to 1213&nbsp;ng/g), with high&nbsp;<sup>187</sup>Re/<sup>188</sup>Os values ranging from 3644 to 5737 likely resultant from varying redox conditions between the pore water and overlying water column during deposition and early condensing of the section.</p>\n<p>&nbsp;</p>\n</div>","language":"English","doi":"10.1016/j.coal.2015.01.002","usgsCitation":"Geboy, N., Tripathy, G., Ruppert, L.F., Eble, C., Blake, B., Hannah, J.L., and Stein, H.J., 2015, Re–Os age for the Lower–Middle Pennsylvanian Boundary and comparison with associated palynoflora: International Journal of Coal Geology, v. 140, p. 23-30, https://doi.org/10.1016/j.coal.2015.01.002.","productDescription":"8 p.","startPage":"23","endPage":"30","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055765","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":472277,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coal.2015.01.002","text":"Publisher Index Page"},{"id":316745,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","county":"Wyoming County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.48147583007812,\n              37.78808138412046\n            ],\n            [\n              -81.441650390625,\n              37.779398571318765\n            ],\n            [\n              -81.39358520507812,\n              37.71315858834301\n            ],\n            [\n              -81.26449584960938,\n              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Colorado State University, Ft. Collins, CO, USA","active":true,"usgs":false}],"preferred":false,"id":597737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruppert, Leslie F. 0000-0002-7453-1061 lruppert@usgs.gov","orcid":"https://orcid.org/0000-0002-7453-1061","contributorId":660,"corporation":false,"usgs":true,"family":"Ruppert","given":"Leslie","email":"lruppert@usgs.gov","middleInitial":"F.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":597738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eble, C.F.","contributorId":35346,"corporation":false,"usgs":true,"family":"Eble","given":"C.F.","email":"","affiliations":[],"preferred":false,"id":597739,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blake, B.M.","contributorId":76481,"corporation":false,"usgs":true,"family":"Blake","given":"B.M.","affiliations":[],"preferred":false,"id":597740,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hannah, J. L.","contributorId":91993,"corporation":false,"usgs":true,"family":"Hannah","given":"J.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":597741,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stein, H. J.","contributorId":98748,"corporation":false,"usgs":true,"family":"Stein","given":"H.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":597742,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70135359,"text":"ofr20141252 - 2015 - Evaluating coastal landscape response to sea-level rise in the northeastern United States: approach and methods","interactions":[],"lastModifiedDate":"2017-03-29T13:32:26","indexId":"ofr20141252","displayToPublicDate":"2015-02-13T17:15:00","publicationYear":"2015","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":"2014-1252","title":"Evaluating coastal landscape response to sea-level rise in the northeastern United States: approach and methods","docAbstract":"<p><span>The U.S. Geological Survey is examining effects of future sea-level rise on the coastal landscape from Maine to Virginia by producing spatially explicit, probabilistic predictions using sea-level projections, vertical land movement rates (due to isostacy), elevation data, and land-cover data. Sea-level-rise scenarios used as model inputs are generated by using multiple sources of information, including Coupled Model Intercomparison Project Phase 5 models following representative concentration pathways 4.5 and 8.5 in the Intergovernmental Panel on Climate Change Fifth Assessment Report. A Bayesian network is used to develop a predictive coastal response model that integrates the sea-level, elevation, and land-cover data with assigned probabilities that account for interactions with coastal geomorphology as well as the corresponding ecological and societal systems it supports. The effects of sea-level rise are presented as (1) level of landscape submergence and (2) coastal response type characterized as either static (that is, inundation) or dynamic (that is, landform or landscape change). Results are produced at a spatial scale of 30 meters for four decades (the 2020s, 2030s, 2050s, and 2080s). The probabilistic predictions can be applied to landscape management decisions based on sea-level-rise effects as well as on assessments of the prediction uncertainty and need for improved data or fundamental understanding. This report describes the methods used to produce predictions, including information on input datasets; the modeling approach; model outputs; data-quality-control procedures; and information on how to access the data and metadata online.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141252","usgsCitation":"Lentz, E.E., Stippa, S.R., Thieler, E.R., Plant, N.G., Gesch, D.B., and Horton, R.M., 2015, Evaluating coastal landscape response to sea-level rise in the northeastern United States—Approach and methods (ver. 2.0, December 2015): U.S. Geological Survey Open-File Report 2014–1252, 26 p., https://dx.doi.org/10.3133/ofr20141252.","productDescription":"Report: vi, 26 p.; Dataset; Project Web Page","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-058567","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":438725,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F73J3B0B","text":"USGS data release","linkHelpText":"Coastal Landscape Response to Sea-Level Rise Assessment for the Northeastern United States Data Release"},{"id":297982,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1252/"},{"id":297983,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1252/pdf/ofr2014-1252.pdf","size":"4.23 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":297985,"rank":5,"type":{"id":18,"text":"Project Site"},"url":"https://woodshole.er.usgs.gov/project-pages/coastal_response/","text":"Coastal Landscape Response Project","linkFileType":{"id":5,"text":"html"}},{"id":297986,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2014/1252/images/coverthb.jpg"},{"id":297984,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://woodshole.er.usgs.gov/project-pages/coastal_response/data.html","text":"Landscape change predictions for the 2020s, 2030s, 2050s, and 2080s","linkFileType":{"id":5,"text":"html"}},{"id":312642,"rank":6,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2014/1252/versionHist.txt"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -67.19238281249999,\n              45.19752230305685\n            ],\n            [\n              -69.23583984375,\n              44.69989765840318\n            ],\n            [\n              -71.34521484375,\n              43.59630591596548\n            ],\n            [\n              -71.69677734375,\n              41.96765920367816\n            ],\n            [\n              -74.72900390625,\n              41.21172151054787\n            ],\n            [\n              -77.6953125,\n              38.993572058209466\n            ],\n            [\n              -77.49755859375,\n              36.54494944148322\n            ],\n            [\n              -75.89355468749999,\n              36.56260003738548\n            ],\n            [\n              -71.7626953125,\n              40.88029480552824\n            ],\n            [\n              -69.80712890625,\n              41.11246878918086\n            ],\n            [\n              -69.67529296875,\n              42.09822241118974\n            ],\n            [\n              -70.24658203125,\n              42.779275360241904\n            ],\n            [\n              -68.8623046875,\n              43.77109381775651\n            ],\n            [\n              -66.796875,\n              44.715513732021336\n            ],\n            [\n              -67.19238281249999,\n              45.19752230305685\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: Originally posted February 13, 2015; Version 2.0: December 21, 2015","contact":"<p><a href=\"mailto:wbarnhardt@usgs.gov\">Director</a>, Woods Hole Coastal and Marine Science Center <br /> U.S. Geological Survey <br /> 384 Woods Hole Road<br /> Quissett Campus <br /> Woods Hole, MA 02543 <br /> (508) 548-8700 <br /> <a href=\"http://woodshole.er.usgs.gov/\">http://woodshole.er.usgs.gov</a></p>","tableOfContents":"<ul>\n<li>Acknowledgments</li>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Decision-Support Requirements</li>\n<li>Characterizations of Sea-Level Rise Effects on the Coast</li>\n<li>Modeling Approach</li>\n<li>Model Inputs</li>\n<li>Model Predictions</li>\n<li>Dataset Access and Assessment</li>\n<li>References Cited</li>\n</ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2014-02-13","revisedDate":"2015-12-21","noUsgsAuthors":false,"publicationDate":"2014-02-13","publicationStatus":"PW","scienceBaseUri":"54df2030e4b08de9379b3a31","contributors":{"authors":[{"text":"Lentz, Erika E. elentz@usgs.gov","contributorId":5917,"corporation":false,"usgs":true,"family":"Lentz","given":"Erika E.","email":"elentz@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":540611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stippa, Sawyer R. sstippa@usgs.gov","contributorId":5789,"corporation":false,"usgs":true,"family":"Stippa","given":"Sawyer","email":"sstippa@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":540612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thieler, E. Robert 0000-0003-4311-9717 rthieler@usgs.gov","orcid":"https://orcid.org/0000-0003-4311-9717","contributorId":2488,"corporation":false,"usgs":true,"family":"Thieler","given":"E.","email":"rthieler@usgs.gov","middleInitial":"Robert","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":540613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":540614,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gesch, Dean B. 0000-0002-8992-4933 gesch@usgs.gov","orcid":"https://orcid.org/0000-0002-8992-4933","contributorId":2956,"corporation":false,"usgs":true,"family":"Gesch","given":"Dean","email":"gesch@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":540615,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Horton, Radley M.","contributorId":139267,"corporation":false,"usgs":false,"family":"Horton","given":"Radley","email":"","middleInitial":"M.","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":540616,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70141204,"text":"ofr20141256 - 2015 - Changes in the saltwater interface corresponding to the installation of a seepage barrier near Lake Okeechobee, Florida","interactions":[],"lastModifiedDate":"2015-02-20T14:32:39","indexId":"ofr20141256","displayToPublicDate":"2015-02-13T17:00:00","publicationYear":"2015","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":"2014-1256","title":"Changes in the saltwater interface corresponding to the installation of a seepage barrier near Lake Okeechobee, Florida","docAbstract":"<p>In 2011, the U.S. Geological Survey and the U.S. Army Corps of Engineers began monitoring the saltwater interface near Lake Okeechobee to evaluate changes in interface depth that could possibly be related to the repair of the Herbert Hoover Dike. A seepage barrier (or cut-off wall), installed by the U.S. Army Corps of Engineers, is a wall of grout designed to protect the Herbert Hoover Dike from internal erosion caused by the piping of water. The seepage barrier prevents water from flowing through or immediately under the dike by diverting the flow below the dike, into the surficial aquifer system. The seepage barrier extends below the saltwater interface in some areas. Monitoring consisted of collecting water samples and time series electromagnetic-induction log (TSEMIL) datasets from 10 well clusters, each of which have 1 shallow and 1 deep monitoring well, with 5- to 10-foot- (ft) long-screened intervals. The deep wells are 120 to 187 ft deep, and the shallow wells are 44 to 100 ft deep.</p>\n<p>Changes in the depth of the saltwater interface were identified that correspond closely to the depth of the bottom of the seepage barrier. These changes may have been the consequence of changes in groundwater flow initiated by the seepage barrier installation. In areas of the dike where a seepage barrier had not been installed, or where the bottom of the seepage barrier is well above the saltwater interface, monitoring detected no changes in the depth of the saltwater interface.</p>\n<p>At five of the monitoring-well cluster locations, a long-screened well was also installed for monitoring and comparison purposes. These long-screened wells are 160 to 200 ft deep, and have open intervals ranging from 145 to 185 ft in length. Water samples were collected at depth intervals of about 5 to 10 ft, using 3-ft-long straddle packers to isolate each sampling interval. The results of monitoring conducted using these long-screened interval wells were generally too variable to identify any changes that might be associated with the seepage barrier. Samples from one of these long-screened interval wells failed to detect the saltwater interface evident in samples and TSEMIL datasets from a collocated well cluster. This failure may have been caused by downward flow of freshwater from above the saltwater interface in the well bore.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141256","usgsCitation":"Prinos, S.T., and Valderrama, R., 2015, Changes in the saltwater interface corresponding to the installation of a seepage barrier near Lake Okeechobee, Florida: U.S. Geological Survey Open-File Report 2014-1256, Report: vii, 24 p.; 2 Appendixes, https://doi.org/10.3133/ofr20141256.","productDescription":"Report: vii, 24 p.; 2 Appendixes","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-058177","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":297981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141256.jpg"},{"id":297979,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1256/appendix/ofr2014-1256_appendix01.xlsx","text":"Appendix 1","size":"30 kB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"Results of water samples from selected long-screened interval monitoring wells."},{"id":297978,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1256/pdf/ofr2014-1256.pdf","size":"6.90 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":297980,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1256/appendix/ofr2014-1256_appendix02.xlsx","text":"Appendix 2","size":"33.6 kB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"Results of water samples from selected short-screened interval monitoring wells."},{"id":297967,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1256/"}],"country":"United States","state":"Florida","otherGeospatial":"Lake Okeechobee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.15875244140625,\n              26.674458841825206\n            ],\n            [\n              -81.15875244140625,\n              27.21311366818236\n            ],\n            [\n              -80.60531616210938,\n              27.21311366818236\n            ],\n            [\n              -80.60531616210938,\n              26.674458841825206\n            ],\n            [\n              -81.15875244140625,\n              26.674458841825206\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54df2028e4b08de9379b3a2f","contributors":{"authors":[{"text":"Prinos, Scott T. 0000-0002-5776-8956 stprinos@usgs.gov","orcid":"https://orcid.org/0000-0002-5776-8956","contributorId":4045,"corporation":false,"usgs":true,"family":"Prinos","given":"Scott","email":"stprinos@usgs.gov","middleInitial":"T.","affiliations":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true},{"id":269,"text":"FLWSC-Ft. 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,{"id":70137951,"text":"ofr20141246 - 2015 - Water-level and wave measurements in the Chandeleur Islands, Louisiana, 2012 and 2013","interactions":[],"lastModifiedDate":"2015-02-13T15:50:07","indexId":"ofr20141246","displayToPublicDate":"2015-02-13T16:45:00","publicationYear":"2015","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":"2014-1246","title":"Water-level and wave measurements in the Chandeleur Islands, Louisiana, 2012 and 2013","docAbstract":"<p><span>This report documents measurements of atmospheric pressure, water levels, and waves made by the U.S. Geological Survey in the Chandeleur Islands, Louisiana, during 2012 and 2013 as part of the Barrier Island Evolution Research project. Simple, inexpensive pressure sensors mounted in shallow wells were buried in the beach and left for one hurricane season and one winter-storm season. Gauges with rapid-sampling pressure sensors that provided nondirectional wave data and water-level data were mounted on rugged mounts on the Chandeleur Sound side and at the base of a tower at the northern end of the island chain. Additionally, an atmospheric pressure sensor was mounted on the tower to provide a local atmospheric pressure measurement for correcting the submerged pressure records.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141246","usgsCitation":"Dickhudt, P., Sherwood, C.R., and DeWitt, N.T., 2015, Water-level and wave measurements in the Chandeleur Islands, Louisiana, 2012 and 2013: U.S. Geological Survey Open-File Report 2014-1246, Report: HTML Document; Report: viii, 49 p., https://doi.org/10.3133/ofr20141246.","productDescription":"Report: HTML Document; Report: viii, 49 p.","numberOfPages":"59","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2012-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-056460","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":297977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141246.JPG"},{"id":297974,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1246/"},{"id":297975,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1246/ofr2014-1246-title_page.html","text":"Report (HTML format)","linkFileType":{"id":5,"text":"html"}},{"id":297976,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1246/pdf/ofr2014-1246.pdf","text":"Report PDF","size":"1.52 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Louisiana","otherGeospatial":"Chandeleur Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.88763427734375,\n              30.055425546694924\n            ],\n            [\n              -88.86703491210938,\n              30.07087666238811\n            ],\n            [\n              -88.8196563720703,\n              30.00013836058068\n            ],\n            [\n              -88.81004333496094,\n              29.83945268266779\n            ],\n            [\n              -88.8519287109375,\n              29.840048293026957\n            ],\n            [\n              -88.84025573730469,\n              29.95136495173933\n            ],\n            [\n              -88.88763427734375,\n              30.055425546694924\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54df2032e4b08de9379b3a35","contributors":{"authors":[{"text":"Dickhudt, Patrick J. pdickhudt@usgs.gov","contributorId":5595,"corporation":false,"usgs":true,"family":"Dickhudt","given":"Patrick J.","email":"pdickhudt@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":540602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":540603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":540604,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70137950,"text":"ofr20141245 - 2015 - Water-level measurements in Dauphin Island, Alabama, from the 2013 Hurricane Season","interactions":[],"lastModifiedDate":"2015-02-13T15:37:37","indexId":"ofr20141245","displayToPublicDate":"2015-02-13T16:30:00","publicationYear":"2015","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":"2014-1245","title":"Water-level measurements in Dauphin Island, Alabama, from the 2013 Hurricane Season","docAbstract":"<p><span>This report describes the instrumentation, field measurements, and processing methods used by the U.S. Geological Survey to measure atmospheric pressure, water levels, and waves on Dauphin Island, Alabama, in 2013 at part of the Barrier Island Evolution Research project. Simple, inexpensive pressure sensors mounted in shallow wells were buried in the beach and left throughout the hurricane season. Additionally, an atmospheric pressure sensor was mounted on the porch of a private residence to provide a local atmospheric pressure measurement for correcting the submerged pressure records.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141245","usgsCitation":"Dickhudt, P., Sherwood, C.R., and DeWitt, N.T., 2015, Water-level measurements in Dauphin Island, Alabama, from the 2013 Hurricane Season: U.S. Geological Survey Open-File Report 2014-1245, Report: HTML Document; Report: vii, 24 p., https://doi.org/10.3133/ofr20141245.","productDescription":"Report: HTML Document; Report: vii, 24 p.","numberOfPages":"33","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2013-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-056459","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":297972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141245.JPG"},{"id":297969,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1245/"},{"id":297970,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1245/ofr2014-1245-title_page.html","text":"Report (HTML format)","linkFileType":{"id":5,"text":"html"}},{"id":297971,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1245/pdf/ofr2014-1245.pdf","text":"Report PDF","size":"943 kB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.13850402832031,\n              30.258029283193757\n            ],\n            [\n              -88.14828872680664,\n              30.254174055663515\n            ],\n            [\n              -88.1623649597168,\n              30.254470616999534\n            ],\n            [\n              -88.20579528808594,\n              30.252246385155885\n            ],\n            [\n              -88.20716857910156,\n              30.24824264093001\n            ],\n            [\n              -88.19910049438477,\n              30.246908023263966\n            ],\n            [\n              -88.13798904418945,\n              30.248835798518176\n            ],\n            [\n              -88.13850402832031,\n              30.258029283193757\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54df2034e4b08de9379b3a37","contributors":{"authors":[{"text":"Dickhudt, Patrick J. pdickhudt@usgs.gov","contributorId":5595,"corporation":false,"usgs":true,"family":"Dickhudt","given":"Patrick J.","email":"pdickhudt@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":540595,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":540596,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":540597,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70114415,"text":"70114415 - 2015 - Population genetic structure and disease in montane boreal toads: More heterozygous individuals are more likely to be infected with amphibian chytrid","interactions":[],"lastModifiedDate":"2016-05-27T07:46:59","indexId":"70114415","displayToPublicDate":"2015-02-13T08:45:00","publicationYear":"2015","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":"Population genetic structure and disease in montane boreal toads: More heterozygous individuals are more likely to be infected with amphibian chytrid","docAbstract":"<p><span>Amphibians are more threatened than any other vertebrate group, with 41&nbsp;% of species classified as threatened. The causes of most declines are not well understood, though many declines have been linked to disease. Additionally, amphibians are physiologically constrained to moist habitats and considered poor dispersers; thus, they may suffer genetic consequences of population isolation. To understand threats to the persistence of boreal toads (</span><i class=\"EmphasisTypeItalic \">Bufo boreas</i><span>) in Glacier National Park, USA, we genotyped 551 individuals at 11 microsatellite loci and used Bayesian clustering methods to describe population genetic structure and identify barriers to gene flow. We found evidence of two primary genetic groups that differed substantially in elevation and two secondary groups within the high elevation group. There was also evidence of further substructure within the southern high elevation group, suggesting mountain ridges are barriers to gene flow at local scales. Overall, genetic variation was high, but allelic richness declined with increasing elevation, reflecting greater isolation or smaller effective population sizes of high altitude populations. We tested for&nbsp;</span><i class=\"EmphasisTypeItalic \">Batrachochytrium dendrobatidis</i><span>&nbsp;(Bd), the fungal pathogen which causes chytridiomycosis, and we found that 35 of 199 toads were positive for Bd. Unexpectedly, more heterozygous individuals were more likely to be infected. This suggests that dispersal facilitates the spread of disease because heterozygosity may be highest where dispersal and gene flow are greatest.</span></p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Conservation Genetics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Kluwer Academic Publishers","publisherLocation":"Dordrecht","doi":"10.1007/s10592-015-0704-6","usgsCitation":"Addis, B., Lowe, W., Hossack, B.R., and Allendorf, F., 2015, Population genetic structure and disease in montane boreal toads: More heterozygous individuals are more likely to be infected with amphibian chytrid: Conservation Genetics, v. 16, no. 4, p. 833-844, https://doi.org/10.1007/s10592-015-0704-6.","startPage":"833","endPage":"844","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052993","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science 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The U.S. Geological Survey provides impartial information on the health of our ecosystems and environment, the natural hazards that threaten us, the natural resources we rely on, the negative effects of climate and land-use change, and the core science systems that help us provide timely, relevant, and usable information. The U.S. Geological Survey is not responsible for regulations or land management.</p>\n<p>In the late 1800s, John Wesley Powell the second director of the U.S. Geological Survey, followed his interest in the Tribes of the Great Basin and Colorado Plateau and studied their cultures, languages, and surroundings. From that early time, the U.S. Geological Survey has recognized the importance of Native knowledge as a complement to the U.S. Geological Survey mission to better understand the Earth and its systems. Collaboration allows the U.S. Geological Survey and Native American governments, organizations, and peoples to increase their mutual understanding of the increasing challenges facing our natural world.</p>\n<p>Although this report uses the term &ldquo;resources,&rdquo; the U.S. Geological Survey, through its interdisciplinary research, acknowledges the interconnectedness of the Earth and all the life forms that live upon it.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1403","usgsCitation":"Fordham, M., and Montour, M.R., 2015, U.S. Geological Survey activities related to American Indians and Alaska Natives: Fiscal years 2009 and 2010: U.S. Geological Survey Circular 1403, xvi, 112 p., https://doi.org/10.3133/cir1403.","productDescription":"xvi, 112 p.","startPage":"112","numberOfPages":"130","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2008-10-01","temporalEnd":"2010-09-30","ipdsId":"IP-058358","costCenters":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"links":[{"id":297957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir1403.jpg"},{"id":297955,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1403/pdf/Low/c1403.pdf","text":"Report","size":"17.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report: screen-optimized","linkHelpText":"Screen-optimized"},{"id":297956,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/circ/1403/pdf/High/c1403.pdf","text":"Report","size":"61.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report: high-resolution","linkHelpText":"High-resolution"},{"id":297954,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1403/"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -176.66015625,\n              18.145851771694467\n            ],\n            [\n              -176.66015625,\n              71.46912418989677\n            ],\n            [\n              -66.26953125,\n              71.46912418989677\n            ],\n            [\n              -66.26953125,\n              18.145851771694467\n            ],\n            [\n              -176.66015625,\n              18.145851771694467\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54df2031e4b08de9379b3a33","contributors":{"authors":[{"text":"Fordham, Monique mfordham@usgs.gov","contributorId":4004,"corporation":false,"usgs":true,"family":"Fordham","given":"Monique","email":"mfordham@usgs.gov","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":true,"id":540551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Montour, Maria R. 0000-0002-7834-9005 mmontour@usgs.gov","orcid":"https://orcid.org/0000-0002-7834-9005","contributorId":5032,"corporation":false,"usgs":true,"family":"Montour","given":"Maria","email":"mmontour@usgs.gov","middleInitial":"R.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":540552,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70249417,"text":"70249417 - 2015 - Global land cover mapping using Earth observation satellite data: Recent progresses and challenges","interactions":[],"lastModifiedDate":"2024-06-18T14:08:22.769726","indexId":"70249417","displayToPublicDate":"2015-02-13T06:57:59","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1958,"text":"ISPRS Journal of Photogrammetry and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Global land cover mapping using Earth observation satellite data: Recent progresses and challenges","docAbstract":"<p id=\"p0005\">Land cover is an important variable for many studies involving the Earth surface, such as climate, food security, hydrology, soil erosion, atmospheric quality, conservation biology, and plant functioning. Land cover not only changes with human caused land use changes, but also changes with nature. Therefore, the state of land cover is highly dynamic. In winter snow shields underneath various other land cover types in higher latitudes. Floods may persist for a long period in a year over low land areas in the tropical and subtropical regions. Forest maybe burnt or clear cut in a few days and changes to bare land. Within several months, the coverage of crops may vary from bare land to nearly 100% crops and then back to bare land following harvest. The highly dynamic nature of land cover creates a challenge in mapping and monitoring which remains to be adequately addressed. As economic globalization continues to intensify, there is an increasing trend of land cover/land use change, environmental pollution, land degradation, biodiversity loss at the global scale, timely and reliable information on global land cover and its changes is urgently needed to mitigate the negative impact of global environment change.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.isprsjprs.2015.01.001","usgsCitation":"Ban, Y., Gong, P., and Giri, C., 2015, Global land cover mapping using Earth observation satellite data: Recent progresses and challenges: ISPRS Journal of Photogrammetry and Remote Sensing, v. 103, p. 1-6, https://doi.org/10.1016/j.isprsjprs.2015.01.001.","productDescription":"6 p.","startPage":"1","endPage":"6","ipdsId":"IP-088485","costCenters":[],"links":[{"id":472278,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.isprsjprs.2015.01.001","text":"External Repository"},{"id":421807,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"103","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ban, Yifang","contributorId":330797,"corporation":false,"usgs":false,"family":"Ban","given":"Yifang","email":"","affiliations":[],"preferred":false,"id":885891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gong, Peng","contributorId":102393,"corporation":false,"usgs":true,"family":"Gong","given":"Peng","affiliations":[],"preferred":false,"id":885892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Giri, Chandra 0000-0001-9495-155X cgiri@usgs.gov","orcid":"https://orcid.org/0000-0001-9495-155X","contributorId":330663,"corporation":false,"usgs":true,"family":"Giri","given":"Chandra","email":"cgiri@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":885548,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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