{"pageNumber":"546","pageRowStart":"13625","pageSize":"25","recordCount":68912,"records":[{"id":70119523,"text":"ofr20141036 - 2014 - Geologic map of the Gila Hot Springs 7.5' quadrangle and the Cliff Dwellings National Monument, Catron and Grant Counties, New Mexico","interactions":[],"lastModifiedDate":"2022-04-18T19:25:28.866196","indexId":"ofr20141036","displayToPublicDate":"2014-08-07T10:16:00","publicationYear":"2014","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":"2014-1036","title":"Geologic map of the Gila Hot Springs 7.5' quadrangle and the Cliff Dwellings National Monument, Catron and Grant Counties, New Mexico","docAbstract":"<p>The Gila Hot Springs quadrangle is of geologic interest with respect to four major features, which are:</p>\n<br/>\n<p>1)\tThe caves of the Gila Cliff Dwellings National Monument</p>\n<br/>\n<p>2)\tThe hot springs associated with the faults of the Gila Hot Springs graben</p>\n<br/>\n<p>3)\tThe Alum Mountain rhyolite dome and eruptive center</p>\n<br/>\n<p>4)\tA proposed segment of the southeastern wall of the Gila Cliff Dwellings caldera</p>\n<br/>\n<p>The Gila Cliff Dwellings National Monument consists of two tracts. The caves that were inhabited by the Mogollon people in the 14th century are in the main tract near the mouth of Cliff Dweller Canyon in the Little Turkey Park 7.5' quadrangle adjoining the northwest corner of the Gila Hot Springs quadrangle. The second tract includes the Cliff Dwellings National Monument Visitor Center at the confluence of the West and Middle Forks of the Gila River in the northwest corner of the Gila Hot Springs quadrangle. Both quadrangles are within the Gila National Forest and the Gila Wilderness except for a narrow corridor that provides access to the National Monument and the small ranching and residential community at Gila Center in the Gila River valley.</p>\n<br/>\n<p>The caves in Cliff Dweller Canyon were developed in the Gila Conglomerate of probable Miocene? and Pleistocene? age in this area by processes of lateral corrosion and spring sapping along the creek in Cliff Dweller Canyon.</p>\n<br/>\n<p>The hot springs in the Gila River valley are localized along faults in the deepest part of the Gila Hot Springs graben, which cuts diagonally northwest-southeast across the central part of the quadrangle. Some of the springs provide domestic hot water for space heating and agriculture in the Gila River valley and represent a possible thermal resource for development at the Cliff Dwellings National Monument.</p>\n<br/>\n<p>The Alum Mountain rhyolite dome and eruptive center in the southwestern part of the quadrangle is a colorful area of altered and mineralized rocks that is satellitic to the larger Copperas Canyon eruptive center, both being part of the composite Copperas Creek volcano, or volcanic complex in the Copperas Peak quadrangle to the south. The altered rocks of the Alum Mountain eruptive center have been prospected by means of several short adits, or tunnels, for alum, a mixture of the iron and aluminum sulfate minerals: alunite and halotrichite.</p>\n<br/>\n<p>A fault on the west side of the Gila River, opposite the hot springs in the south-central part of the map area, just north of Alum Mountain, is tentatively interpreted as a segment of the wall of the Gila Cliff Dwellings caldera. The fault, which dips about 55 degrees northwest, has a footwall of the andesitic and dacitic lava flows and flow breccias of Gila Flat. The hanging wall consists of Bloodgood Canyon Tuff overlain by Bearwallow Mountain Andesite flows. However, these rocks are not faulted against the older rocks, but apparently abut and locally overlap the footwall.</p>\n<br/>\n<p>These are the major geologic features of the quadrangle, about three quarters of which is covered by Bearwallow Mountain Andesite lava flows and overlying volcaniclastic rocks of the Gila Conglomerate.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141036","usgsCitation":"Ratte, J.C., Gaskill, D.L., and Chappell, J.R., 2014, Geologic map of the Gila Hot Springs 7.5' quadrangle and the Cliff Dwellings National Monument, Catron and Grant Counties, New Mexico: U.S. Geological Survey Open-File Report 2014-1036, 1 map: 47.00 x 40.00 inches; Downloads Directory, https://doi.org/10.3133/ofr20141036.","productDescription":"1 map: 47.00 x 40.00 inches; Downloads Directory","onlineOnly":"Y","ipdsId":"IP-054335","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":291820,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141036.jpg"},{"id":398963,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_100490.htm"},{"id":291815,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1036/"},{"id":291818,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1036/downloads/"},{"id":291817,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2014/1036/pdf/ofr2014-1036.pdf"}],"scale":"24000","projection":"Transverse Mercator projection","datum":"North American Datum of 1927","country":"United States","state":"New Mexico","county":"Catron County, Grant County","otherGeospatial":"Gila Cliff Dwellings National Monument, Gila Hot Springs","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.15,33.125 ], [ -108.15,33.25 ], [ -108.125,33.25 ], [ -108.125,33.125 ], [ -108.15,33.125 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e484b5e4b0fff4042801c3","contributors":{"authors":[{"text":"Ratte, James C.","contributorId":47671,"corporation":false,"usgs":true,"family":"Ratte","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":497693,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gaskill, David L.","contributorId":53369,"corporation":false,"usgs":true,"family":"Gaskill","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":497695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chappell, James R.","contributorId":48883,"corporation":false,"usgs":true,"family":"Chappell","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":497694,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70116610,"text":"ofr20141148 - 2014 - Updated estimates of long-term average dissolved-solids loading in streams and rivers of the Upper Colorado River Basin","interactions":[],"lastModifiedDate":"2016-04-12T15:44:04","indexId":"ofr20141148","displayToPublicDate":"2014-08-06T12:02:00","publicationYear":"2014","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":"2014-1148","title":"Updated estimates of long-term average dissolved-solids loading in streams and rivers of the Upper Colorado River Basin","docAbstract":"<p>The Colorado River and its tributaries supply water to more than 35 million people in the United States and 3 million people in Mexico, irrigating over 4.5 million acres of farmland, and annually generating about 12 billion kilowatt hours of hydroelectric power. The Upper Colorado River Basin, part of the Colorado River Basin, encompasses more than 110,000 mi<sup>2</sup> and is the source of much of more than 9 million tons of dissolved solids that annually flows past the Hoover Dam. High dissolved-solids concentrations in the river are the cause of substantial economic damages to users, primarily in reduced agricultural crop yields and corrosion, with damages estimated to be greater than 300 million dollars annually. In 1974, the Colorado River Basin Salinity Control Act created the Colorado River Basin Salinity Control Program to investigate and implement a broad range of salinity control measures. A 2009 study by the U.S. Geological Survey, supported by the Salinity Control Program, used the Spatially Referenced Regressions on Watershed Attributes surface-water quality model to examine dissolved-solids supply and transport within the Upper Colorado River Basin. Dissolved-solids loads developed for 218 monitoring sites were used to calibrate the 2009 Upper Colorado River Basin Spatially Referenced Regressions on Watershed Attributes dissolved-solids model. This study updates and develops new dissolved-solids loading estimates for 323 Upper Colorado River Basin monitoring sites using streamflow and dissolved-solids concentration data through 2012, to support a planned Spatially Referenced Regressions on Watershed Attributes modeling effort that will investigate the contributions to dissolved-solids loads from irrigation and rangeland practices.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141148","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Tillman, F., and Anning, D.W., 2014, Updated estimates of long-term average dissolved-solids loading in streams and rivers of the Upper Colorado River Basin: U.S. Geological Survey Open-File Report 2014-1148, Report: v, 10 p.; Appendixes 1-2, https://doi.org/10.3133/ofr20141148.","productDescription":"Report: v, 10 p.; Appendixes 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Center","active":true,"usgs":true}],"preferred":false,"id":495814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anning, David W. dwanning@usgs.gov","contributorId":432,"corporation":false,"usgs":true,"family":"Anning","given":"David","email":"dwanning@usgs.gov","middleInitial":"W.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495813,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70110586,"text":"sim3300 - 2014 - An expanded model: flood-inundation maps for the Leaf River at Hattiesburg, Mississippi, 2013","interactions":[],"lastModifiedDate":"2014-08-08T14:12:01","indexId":"sim3300","displayToPublicDate":"2014-08-06T11:21:00","publicationYear":"2014","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":"3300","title":"An expanded model: flood-inundation maps for the Leaf River at Hattiesburg, Mississippi, 2013","docAbstract":"<p>Digital flood-inundation maps for a 6.8-mile reach of the Leaf River at Hattiesburg, Mississippi (Miss.), were created by the U.S. Geological Survey (USGS) in cooperation with the City of Hattiesburg, City of Petal, Forrest County, Mississippi Emergency Management Agency, Mississippi Department of Homeland Security, and the Emergency Management District. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at <a href=\"http://water.usgs.gov/osw/flood_inundation/\" target=\"_blank\">http://water.usgs.gov/osw/flood_inundation/</a>, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage at Leaf River at Hattiesburg, Miss. (station no. 02473000). Current conditions for estimating near-real-time areas of inundation by use of USGS streamgage information may be obtained on the Internet at <a href=\"http://waterdata.usgs.gov/\" target=\"_blank\">http://waterdata.usgs.gov/</a>. In addition, the information has been provided to the National Weather Service (NWS) for incorporation into their Advanced Hydrologic Prediction Service (AHPS) flood warning system (<a href=\"http://water.weather.gov/ahps/\" target=\"_blank\">http://water.weather.gov/ahps/</a>). The NWS forecasts flood hydrographs at many places that are often colocated with USGS streamgages. NWS-forecasted peak-stage information may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation.</p>\n<br/>\n<p>In this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated by using the most current stage-discharge relations at the Leaf River at Hattiesburg, Miss. streamgage (02473000) and documented high-water marks from recent and historical floods. The hydraulic model was then used to determine 13 water-surface profiles for flood stages at 1.0-foot intervals referenced to the streamgage datum and ranging from bankfull to approximately the highest recorded water level at the streamgage. The simulated water-surface profiles were then combined with a geographic information system (GIS) digital elevation model (DEM, derived from light detection and ranging (lidar) data having a 0.6-foot vertical and 9.84-foot horizontal resolution) in order to delineate the area flooded at each water level.</p>\n<br/>\n<p>Development of the estimated flood inundation maps as described in this report update previously published inundation estimates by including reaches of the Bouie and Leaf Rivers above their confluence. The availability of these maps along with Internet information regarding current stage from USGS streamgages and forecasted stream stages from the NWS provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures as well as for post flood recovery efforts.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3300","collaboration":"Prepared in cooperation with the City of Hattiesburg, City of Petal, Forrest County, Mississippi Emergency Management Agency, Mississippi Department of Homeland Security, and the Emergency Management District and Prepared in collaboration with the National Weather Service","usgsCitation":"Storm, J.B., 2014, An expanded model: flood-inundation maps for the Leaf River at Hattiesburg, Mississippi, 2013: U.S. Geological Survey Scientific Investigations Map 3300, Report: vi, 8 p.; 13 Plates: 18.00 x 22.83 inches; Downloads Directory, https://doi.org/10.3133/sim3300.","productDescription":"Report: vi, 8 p.; 13 Plates: 18.00 x 22.83 inches; Downloads Directory","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-045674","costCenters":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"links":[{"id":291773,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3300.jpg"},{"id":291775,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3300/pdf/mapsheets/sim3300_sheet11.pdf"},{"id":291774,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3300/pdf/mapsheets/sim3300_sheet1.pdf"},{"id":291779,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3300/pdf/mapsheets/sim3300_sheet2.pdf"},{"id":291780,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3300/pdf/mapsheets/sim3300_sheet3.pdf"},{"id":291781,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3300/pdf/mapsheets/sim3300_sheet4.pdf"},{"id":291782,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3300/pdf/mapsheets/sim3300_sheet5.pdf"},{"id":291776,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3300/pdf/mapsheets/sim3300_sheet10.pdf"},{"id":291777,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3300/pdf/mapsheets/sim3300_sheet12.pdf"},{"id":291778,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3300/pdf/mapsheets/sim3300_sheet13.pdf"},{"id":291783,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3300/pdf/mapsheets/sim3300_sheet6.pdf"},{"id":291784,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3300/pdf/mapsheets/sim3300_sheet7.pdf"},{"id":291785,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3300/pdf/mapsheets/sim3300_sheet9.pdf"},{"id":291786,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3300/pdf/mapsheets/sim3300_sheet8.pdf"},{"id":291770,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3300/"},{"id":291771,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3300/pdf/sim3300_pamphlet.pdf"},{"id":291772,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3300/downloads"}],"projection":"Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"Mississippi","city":"Hattiesburg","otherGeospatial":"Leaf River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.314293,31.295882 ], [ -89.314293,31.363778 ], [ -89.243122,31.363778 ], [ -89.243122,31.295882 ], [ -89.314293,31.295882 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e3332ee4b0567f276f7cf8","contributors":{"authors":[{"text":"Storm, John B. 0000-0002-5657-536X jbstorm@usgs.gov","orcid":"https://orcid.org/0000-0002-5657-536X","contributorId":3684,"corporation":false,"usgs":true,"family":"Storm","given":"John","email":"jbstorm@usgs.gov","middleInitial":"B.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494070,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70175906,"text":"70175906 - 2014 - Seismicity, faulting, and structure of the Koyna-Warna seismic region, Western India from local earthquake tomography and hypocenter locations","interactions":[],"lastModifiedDate":"2016-08-20T15:32:00","indexId":"70175906","displayToPublicDate":"2014-08-06T10:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Seismicity, faulting, and structure of the Koyna-Warna seismic region, Western India from local earthquake tomography and hypocenter locations","docAbstract":"<p><span>Although seismicity near Koyna Reservoir (India) has persisted for ~50&thinsp;years and includes the largest induced earthquake (</span><i>M</i><span><span class=\"Apple-converted-space\">&nbsp;</span>6.3) reported worldwide, the seismotectonic framework of the area is not well understood. We recorded ~1800 earthquakes from 6 January 2010 to 28 May 2010 and located a subset of 343 of the highest-quality earthquakes using the tomoDD code of Zhang and Thurber (2003) to better understand the framework. We also inverted first arrivals for 3-D<span class=\"Apple-converted-space\">&nbsp;</span></span><i>Vp</i><span>,<span class=\"Apple-converted-space\">&nbsp;</span></span><i>Vs</i><span>, and<span class=\"Apple-converted-space\">&nbsp;</span></span><i>Vp</i><span>/</span><i>Vs</i><span><span class=\"Apple-converted-space\">&nbsp;</span>and Poisson's ratio tomography models of the upper 12&thinsp;km of the crust. Epicenters for the recorded earthquakes are located south of the Koyna River, including a high-density cluster that coincides with a shallow depth (&lt;1.5&thinsp;km) zone of relatively high<span class=\"Apple-converted-space\">&nbsp;</span></span><i>Vp</i><span><span class=\"Apple-converted-space\">&nbsp;</span>and low<span class=\"Apple-converted-space\">&nbsp;</span></span><i>Vs</i><span><span class=\"Apple-converted-space\">&nbsp;</span>(also high<span class=\"Apple-converted-space\">&nbsp;</span></span><i>Vp</i><span>/</span><i>Vs</i><span><span class=\"Apple-converted-space\">&nbsp;</span>and Poisson's ratios) near Warna Reservoir. This anomalous zone, which extends near vertically to at least 8&thinsp;km depth and laterally northward at least 15&thinsp;km, is likely a water-saturated zone of faults under high pore pressures. Because many of the earthquakes occur on the periphery of the fault zone, rather than near its center, the observed seismicity-velocity correlations are consistent with the concept that many of the earthquakes nucleate in fractures adjacent to the main fault zone due to high pore pressure. We interpret our velocity images as showing a series of northwest trending faults locally near the central part of Warna Reservoir and a major northward trending fault zone north of Warna Reservoir.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014JB010950","usgsCitation":"Dixit, M.M., Kumar, S., Catchings, R.D., Suman, K., Sarkar, D., and Sen, M., 2014, Seismicity, faulting, and structure of the Koyna-Warna seismic region, Western India from local earthquake tomography and hypocenter locations: Journal of Geophysical Research B: Solid Earth, v. 119, no. 8, p. 6372-6398, https://doi.org/10.1002/2014JB010950.","productDescription":"27 p.","startPage":"6372","endPage":"6398","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042844","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":472826,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014jb010950","text":"Publisher Index Page"},{"id":327121,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"India","state":"Maharashtra","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              73.7,\n              17.7\n            ],\n            [\n              73.7,\n              16.8\n            ],\n            [\n              74.2,\n              16.8\n            ],\n            [\n              74.2,\n              17.7\n            ],\n            [\n              73.7,\n              17.7\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"119","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-08-06","publicationStatus":"PW","scienceBaseUri":"57b97f29e4b03fd6b7db87d9","contributors":{"authors":[{"text":"Dixit, Madan M.","contributorId":173893,"corporation":false,"usgs":false,"family":"Dixit","given":"Madan","email":"","middleInitial":"M.","affiliations":[{"id":27315,"text":"National Geophysical Research Institute, India","active":true,"usgs":false}],"preferred":false,"id":646527,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kumar, Sanjay","contributorId":173894,"corporation":false,"usgs":false,"family":"Kumar","given":"Sanjay","email":"","affiliations":[{"id":27315,"text":"National Geophysical Research Institute, India","active":true,"usgs":false}],"preferred":false,"id":646528,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Catchings, Rufus D. 0000-0002-5191-6102 catching@usgs.gov","orcid":"https://orcid.org/0000-0002-5191-6102","contributorId":1519,"corporation":false,"usgs":true,"family":"Catchings","given":"Rufus","email":"catching@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":646524,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Suman, K.","contributorId":173892,"corporation":false,"usgs":false,"family":"Suman","given":"K.","email":"","affiliations":[{"id":27315,"text":"National Geophysical Research Institute, India","active":true,"usgs":false}],"preferred":false,"id":646554,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sarkar, Dipankar","contributorId":173891,"corporation":false,"usgs":false,"family":"Sarkar","given":"Dipankar","email":"","affiliations":[{"id":27315,"text":"National Geophysical Research Institute, India","active":true,"usgs":false}],"preferred":false,"id":646525,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sen, M.K.","contributorId":94482,"corporation":false,"usgs":true,"family":"Sen","given":"M.K.","email":"","affiliations":[],"preferred":false,"id":646526,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70112364,"text":"sir20105090R - 2014 - Sandstone copper assessment of the Teniz Basin, Kazakhstan","interactions":[{"subject":{"id":70112364,"text":"sir20105090R - 2014 - Sandstone copper assessment of the Teniz Basin, Kazakhstan","indexId":"sir20105090R","publicationYear":"2014","noYear":false,"chapter":"R","title":"Sandstone copper assessment of the Teniz Basin, Kazakhstan"},"predicate":"IS_PART_OF","object":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"id":1}],"isPartOf":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"lastModifiedDate":"2020-07-01T19:58:33.657374","indexId":"sir20105090R","displayToPublicDate":"2014-08-06T09:16:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5090","chapter":"R","title":"Sandstone copper assessment of the Teniz Basin, Kazakhstan","docAbstract":"<p>The U.S. Geological Survey (USGS) conducts national and global resource assessments (mineral, energy, water, and biological) to provide data and scientific analyses to support decision making. Three-part mineral resource assessments result in informed, unbiased, quantitative, and probabilistic estimates of undiscovered mineral resources and deposits. In particular, mineral assessment results inform decisions concerning land-use and mineral-resource development. A probabilistic mineral resource assessment of the sandstone subtype of sediment-hosted stratabound copper deposits in the Teniz Basin, Kazakhstan, was undertaken by the USGS.</p>\n<p>The Teniz Basin is located in Akmola Oblast, central and western Kazakhstan. With an areal extent of almost 78,000 km<sup>2</sup>, the basin contains many sediment-hosted stratabound copper prospects, none of which are well described, and the majority of which may belong to the sandstone subtype of sediment-hosted copper deposits. There are no known locations within the Teniz Basin currently mined for copper. Within the basin, however, map units permissive for the sandstone subtype of sediment-hosted stratabound copper deposits include (from oldest to youngest): the Middle Carboniferous Kiery Suite; the Middle to Upper Carboniferous Vladimirov Suite (a stratigraphic equivalent of the Dzhezkazgan Suite, Chu-Sarysu Basin); and the Upper Carboniferous or lowest Permian Kayraktin Suite. The multicolored sedimentary rocks of the Vladimirov Suite, in which 14 potentially ore-bearing horizons of gray beds have been recorded, have the greatest potential for undiscovered, sandstone subtype, sediment-hosted stratabound copper deposits.</p>\n<p>A quantitative mineral resource assessment has been completed that (1) delineates one 49,714 km<sup>2</sup><span class=\"Apple-converted-space\">&nbsp;</span>tract permissive for undiscovered, sandstone subtype, sediment-hosted stratabound copper deposits, and (2) provides probabilistic estimates of numbers of undiscovered deposits and probable amounts of copper resource contained in those deposits. The permissive tract delineated in this assessment encompasses no previously known sandstone subtype, sediment-hosted stratabound copper deposits. However, this assessment estimates (with 30 percent probability) that a mean of nine undiscovered sandstone subtype copper deposits may be present in the Teniz Basin and could contain a mean total of 8.9 million metric tons of copper and 7,500 metric tons of silver.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Global mineral resource assessment","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105090R","usgsCitation":"Cossette, P.M., Bookstrom, A.A., Hayes, T.S., Robinson, G.R., Wallis, J., and Zientek, M.L., 2014, Sandstone copper assessment of the Teniz Basin, Kazakhstan: U.S. Geological Survey Scientific Investigations Report 2010-5090, Report: vi, 42 p.; Tabloid Figure 3; GIS package, https://doi.org/10.3133/sir20105090R.","productDescription":"Report: vi, 42 p.; Tabloid Figure 3; GIS package","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-050799","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":291755,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20105090r.jpg"},{"id":291754,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2010/5090/r/downloads/sir2010-5090R_GIS.zip","text":"GIS package","size":"824 KB","linkFileType":{"id":6,"text":"zip"},"description":"GIS package"},{"id":291753,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2010/5090/r/pdf/sir2010-5090R_fig3.pdf","text":"Tabloid Figure 3","size":"615 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Tabloid Figure 3"},{"id":291752,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5090/r/pdf/sir2010-5090R.pdf","text":"Report","size":"1.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":291745,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5090/r/"}],"projection":"Asia North Albers Equal Area Projection","country":"Kazakhstan","otherGeospatial":"Teniz Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 65.0,42.0 ], [ 65.0,53.0 ], [ 80.0,53.0 ], [ 80.0,42.0 ], [ 65.0,42.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e33331e4b0567f276f7cfc","contributors":{"authors":[{"text":"Cossette, Pamela M. 0000-0002-9608-6595 pcossette@usgs.gov","orcid":"https://orcid.org/0000-0002-9608-6595","contributorId":1458,"corporation":false,"usgs":true,"family":"Cossette","given":"Pamela","email":"pcossette@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":494717,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bookstrom, Arthur A. 0000-0003-1336-3364 abookstrom@usgs.gov","orcid":"https://orcid.org/0000-0003-1336-3364","contributorId":1542,"corporation":false,"usgs":true,"family":"Bookstrom","given":"Arthur","email":"abookstrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":494718,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Timothy S. thayes@usgs.gov","contributorId":1547,"corporation":false,"usgs":true,"family":"Hayes","given":"Timothy","email":"thayes@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":494719,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, Gilpin R. Jr. grobinso@usgs.gov","contributorId":3083,"corporation":false,"usgs":true,"family":"Robinson","given":"Gilpin","suffix":"Jr.","email":"grobinso@usgs.gov","middleInitial":"R.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":494721,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wallis, John C.","contributorId":45755,"corporation":false,"usgs":true,"family":"Wallis","given":"John C.","affiliations":[],"preferred":false,"id":494722,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zientek, Michael L. 0000-0002-8522-9626 mzientek@usgs.gov","orcid":"https://orcid.org/0000-0002-8522-9626","contributorId":2420,"corporation":false,"usgs":true,"family":"Zientek","given":"Michael","email":"mzientek@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":494720,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70104555,"text":"70104555 - 2014 - Simulating soil-water movement through loess-veneered landscapes using nonconsilient saturated hydraulic conductivity measurements","interactions":[],"lastModifiedDate":"2015-01-27T11:46:22","indexId":"70104555","displayToPublicDate":"2014-08-06T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3420,"text":"Soil Science Society of America Journal","active":true,"publicationSubtype":{"id":10}},"title":"Simulating soil-water movement through loess-veneered landscapes using nonconsilient saturated hydraulic conductivity measurements","docAbstract":"<p><span>Soil Survey Geographic Database (SSURGO) data are available for the entire United States, so are incorporated in many regional and national models of hydrology and environmental management. However, SSURGO does not provide an understanding of spatial variability and only includes saturated hydraulic conductivity (</span><i>K</i><sub>sat</sub><span>) values estimated from particle size analysis (PSA). This study showed model sensitivity to the substitution of SSURGO data with locally described soil properties or alternate methods of measuring&nbsp;</span><i>K</i><sub>sat</sub><span>. Incorporation of these different soil data sets significantly changed the results of hydrologic modeling as a consequence of the amount of space available to store soil water and how this soil water is moved downslope. Locally described soil profiles indicated a difference in&nbsp;</span><i>K</i><sub>sat</sub><span>&nbsp;when measured in the field vs. being estimated from PSA. This, in turn, caused a difference in which soil layers were incorporated in the hydrologic simulations using TOPMODEL, ultimately affecting how soil water storage was simulated. Simulations of free-flowing soil water, the amount of water traveling through pores too large to retain water against gravity, were compared with field observations of water in wells at five slope positions along a catena. Comparison of the simulated data with the observed data showed that the ability to model the range of conditions observed in the field varied as a function of three soil data sets (SSURGO and local field descriptions using PSA-derived&nbsp;</span><i>K</i><sub>sat</sub><span>&nbsp;or field-measured&nbsp;</span><i>K</i><sub>sat</sub><span>) and that comparison of absolute values of soil water storage are not valid if different characterizations of soil properties are used.</span></p>","language":"English","publisher":"Soil Science Society of America","doi":"10.2136/sssaj2014.01.0045","usgsCitation":"Williamson, T., Lee, B.D., Schoeneberger, P.J., McCauley, W.M., Indorante, S.J., and Owens, P.R., 2014, Simulating soil-water movement through loess-veneered landscapes using nonconsilient saturated hydraulic conductivity measurements: Soil Science Society of America Journal, v. 78, no. 4, p. 1320-1331, https://doi.org/10.2136/sssaj2014.01.0045.","productDescription":"12 p.","startPage":"1320","endPage":"1331","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051268","costCenters":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":297589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-08-06","publicationStatus":"PW","scienceBaseUri":"54dd2c58e4b08de9379b373e","contributors":{"authors":[{"text":"Williamson, Tanja N. tnwillia@usgs.gov","contributorId":452,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja N.","email":"tnwillia@usgs.gov","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":false,"id":518851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Brad D.","contributorId":138937,"corporation":false,"usgs":false,"family":"Lee","given":"Brad","email":"","middleInitial":"D.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":539372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoeneberger, Philip J.","contributorId":138938,"corporation":false,"usgs":false,"family":"Schoeneberger","given":"Philip","email":"","middleInitial":"J.","affiliations":[{"id":6688,"text":"National Soil Survey Center, Natural Resources Conservation Service – United States Department of Agriculture. 100 Centennial Mall North, Lincoln, NE 68508, USA","active":true,"usgs":false}],"preferred":false,"id":539373,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCauley, W. M.","contributorId":138939,"corporation":false,"usgs":false,"family":"McCauley","given":"W.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":539374,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Indorante, Samuel J.","contributorId":138940,"corporation":false,"usgs":false,"family":"Indorante","given":"Samuel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":539375,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Owens, Phillip R.","contributorId":119740,"corporation":false,"usgs":false,"family":"Owens","given":"Phillip","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":518854,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70100418,"text":"fs20143029 - 2014 - Simulation of groundwater flow in the Edwards-Trinity and related aquifers in the Pecos County region, Texas","interactions":[],"lastModifiedDate":"2016-08-05T12:19:58","indexId":"fs20143029","displayToPublicDate":"2014-08-05T16:59:00","publicationYear":"2014","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":"2014-3029","title":"Simulation of groundwater flow in the Edwards-Trinity and related aquifers in the Pecos County region, Texas","docAbstract":"<p>The Edwards-Trinity aquifer, a major aquifer in the Pecos County region of western Texas, is a vital groundwater resource for agricultural, industrial, and public supply uses. Resource managers would like to better understand the future availability of water in the Edwards-Trinity aquifer in the Pecos County region and the effects of the possible increase or temporal redistribution of groundwater withdrawals. To that end, the U.S. Geological Survey (USGS), in cooperation with the Middle Pecos Groundwater Conservation District, Pecos County, City of Fort Stockton, Brewster County, and Pecos County Water Control and Improvement District No. 1, completed a comprehensive, integrated analysis of available hydrogeologic data to develop a groundwater-flow model of the Edwards-Trinity and related aquifers in parts of Brewster, Jeff Davis, Pecos, and Reeves Counties. Following calibration, the model was used to evaluate the sustainability of recent (2008) and projected water-use demands on groundwater resources in the study area.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143029","collaboration":"Prepared in cooperation with Middle Pecos Groundwater Conservation District, Pecos County, City of Fort Stockton, Brewster County, and Pecos County Water Control and Improvement District No. 1","usgsCitation":"Thomas, J.V., 2014, Simulation of groundwater flow in the Edwards-Trinity and related aquifers in the Pecos County region, Texas: U.S. Geological Survey Fact Sheet 2014-3029, 6 p., https://doi.org/10.3133/fs20143029.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054256","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":291744,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143029.jpg"},{"id":291742,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3029/pdf/fs2014-3029.pdf"},{"id":291743,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3029/"}],"scale":"2000000","projection":"Albers Equal-Area Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Texas","county":"Pecos County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.50,30.25 ], [ -104.50,31.50 ], [ -101.50,31.50 ], [ -101.50,30.25 ], [ -104.50,30.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e1e1b5e4b0fe532be24a97","contributors":{"authors":[{"text":"Thomas, Jonathan V. 0000-0003-0903-9713 jvthomas@usgs.gov","orcid":"https://orcid.org/0000-0003-0903-9713","contributorId":2194,"corporation":false,"usgs":true,"family":"Thomas","given":"Jonathan","email":"jvthomas@usgs.gov","middleInitial":"V.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492194,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70099988,"text":"fs20143025 - 2014 - A multiphased approach to groundwater investigations for the Edwards-Trinity and related aquifers in the Pecos County region, Texas","interactions":[],"lastModifiedDate":"2016-08-05T12:21:45","indexId":"fs20143025","displayToPublicDate":"2014-08-05T16:54:00","publicationYear":"2014","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":"2014-3025","title":"A multiphased approach to groundwater investigations for the Edwards-Trinity and related aquifers in the Pecos County region, Texas","docAbstract":"<p>The Edwards-Trinity aquifer is a vital groundwater resource for agricultural, industrial, and public supply uses in the Pecos County region of western Texas. Resource managers would like to understand the future availability of water in the Edwards-Trinity aquifer in the Pecos County region and the effects of the possible increase or temporal redistribution of groundwater withdrawals. To provide resource managers with that information, the U.S. Geological Survey (USGS), in cooperation with the Middle Pecos Groundwater Conservation District, Pecos County, City of Fort Stockton, Brewster County, and Pecos County Water Control and Improvement District No. 1, completed a three-phase study of the Edwards-Trinity and related aquifers in parts of Brewster, Jeff Davis, Pecos, and Reeves Counties. The first phase was to collect groundwater, surface-water, geochemical, geophysical, and geologic data in the study area and develop a geodatabase of historical and collected data. Data compiled in the first phase of the study were used to develop the conceptual model in the second phase of the study. The third phase of the study involved the development and calibration of a numerical groundwater-flow model of the Edwards-Trinity aquifer to simulate groundwater conditions based on various groundwater-withdrawal scenarios. Analysis of well, geophysical, geochemical, and hydrologic data contributed to the development of the conceptual model in phase 1. Lithologic information obtained from well reports and geophysical data was used to describe the hydrostratigraphy and structural features of the groundwater-flow system, and aquifer-test data were used to estimate aquifer hydraulic properties. Geochemical data were used to evaluate groundwater-flow paths, water-rock interaction, aquifer interaction, and the mixing of water from different sources in phase 2. Groundwater-level data also were used to evaluate aquifer interaction, as well as to develop a potentiometric-surface map, delineate regional groundwater divides, and describe regional groundwater-flow paths. During phase 3, the data collected and compiled along with the conceptual information in the study area were incorporated into a numerical groundwater-flow model to evaluate the sustainability of recent (2008) and projected water-use demands on groundwater resources in the study area.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143025","collaboration":"Prepared in cooperation with the Middle Pecos Groundwater Conservation District, Pecos County, City of Fort Stockton, Brewster County, and Pecos County Water Control and Improvement District No. 1","usgsCitation":"Thomas, J.V., 2014, A multiphased approach to groundwater investigations for the Edwards-Trinity and related aquifers in the Pecos County region, Texas: U.S. Geological Survey Fact Sheet 2014-3025, 6 p., https://doi.org/10.3133/fs20143025.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054855","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":291741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143025.jpg"},{"id":291739,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3025/"},{"id":291740,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3025/pdf/fs2014-3025.pdf"}],"scale":"2000000","projection":"Albers Equal-Area Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Texas","county":"Pecos County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.00,30.25 ], [ -104.00,31.50 ], [ -102.00,31.50 ], [ -102.00,30.25 ], [ -104.00,30.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e1e1aee4b0fe532be24a4e","contributors":{"authors":[{"text":"Thomas, Jonathan V. 0000-0003-0903-9713 jvthomas@usgs.gov","orcid":"https://orcid.org/0000-0003-0903-9713","contributorId":2194,"corporation":false,"usgs":true,"family":"Thomas","given":"Jonathan","email":"jvthomas@usgs.gov","middleInitial":"V.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492101,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70119250,"text":"70119250 - 2014 - Refining the link between the Holocene development of the Mississippi River Delta and the geologic evolution of Cat Island, MS: implications for delta-associated barrier islands","interactions":[],"lastModifiedDate":"2014-08-05T15:26:24","indexId":"70119250","displayToPublicDate":"2014-08-05T15:16:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Refining the link between the Holocene development of the Mississippi River Delta and the geologic evolution of Cat Island, MS: implications for delta-associated barrier islands","docAbstract":"The geologic evolution of barrier islands is profoundly influenced by the nature of the deposits underlying them. Many researchers have speculated on the origin and evolution of Cat Island in Mississippi, but uncertainty remains about whether or not the island is underlain completely or in part by deposits associated with the past growth of the Mississippi River delta. In part, this is due to a lack of comprehensive geological information offshore of the island that could augment previous stratigraphic interpretations based on terrestrial borings. An extensive survey of Cat Island and its surrounding waters was conducted, including shallow-water geophysics (e.g., high-resolution chirp seismic, side-scan sonar, and swath and single-beam bathymetry) and both terrestrial and marine vibracoring. High-resolution seismic data and vibracores from south and east of the island show two horizontally laminated silt units; marine radiocarbon dates indicate that they are St. Bernard delta complex (SBDC) deposits. Furthermore, seismic data reveal that the SBDC deposits taper off toward the southern shoreline of Cat Island and to the west, morphology consistent with the distal edge of a delta complex. The sedimentology and extent of each unit suggest that the lower unit may have been deposited during an earlier period of continuous river flow while the upper unit may represent reduced or sporadic river flow. OSL dates from the island platform (beneath beach ridge complexes) indicate three stages of terrestrial evolution: island emergence resulting from relative sea-level rise (~ 5400 ybp) island aggradation via littoral transport (~ 2500–4000 ybp) and island degradation due to delta-mediated changes in wave direction (present– ~ 3600 ybp). Finally, the combination of terrestrial and marine data shows that portions of Cat Island that are lower in elevation than the central part of the island are younger and are likely underlain by a thin layer of deltaic sediments. This underscores the potential for increased future vulnerability of barrier islands that develop adjacent to major river delta complexes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2014.05.021","usgsCitation":"Miselis, J.L., Buster, N.A., and Kindinger, J.L., 2014, Refining the link between the Holocene development of the Mississippi River Delta and the geologic evolution of Cat Island, MS: implications for delta-associated barrier islands: Marine Geology, v. 355, p. 274-290, https://doi.org/10.1016/j.margeo.2014.05.021.","productDescription":"17 p.","startPage":"274","endPage":"290","numberOfPages":"17","ipdsId":"IP-053421","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":291730,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291722,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.margeo.2014.05.021"}],"country":"United States","state":"Mississippi","otherGeospatial":"Cat Island;Mississippi River Delta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.2,30.183333 ], [ -89.2,30.266667 ], [ -89.041667,30.266667 ], [ -89.041667,30.183333 ], [ -89.2,30.183333 ] ] ] } } ] }","volume":"355","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e1e1b4e4b0fe532be24a89","contributors":{"authors":[{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":497629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buster, Noreen A. 0000-0001-5069-9284 nbuster@usgs.gov","orcid":"https://orcid.org/0000-0001-5069-9284","contributorId":3750,"corporation":false,"usgs":true,"family":"Buster","given":"Noreen","email":"nbuster@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":497628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kindinger, Jack L. jkindinger@usgs.gov","contributorId":815,"corporation":false,"usgs":true,"family":"Kindinger","given":"Jack","email":"jkindinger@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":497627,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70119244,"text":"70119244 - 2014 - Monitoring Everglades freshwater marsh water level using L-band synthetic aperture radar backscatter","interactions":[],"lastModifiedDate":"2014-08-05T15:15:12","indexId":"70119244","displayToPublicDate":"2014-08-05T15:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring Everglades freshwater marsh water level using L-band synthetic aperture radar backscatter","docAbstract":"The Florida Everglades plays a significant role in controlling floods, improving water quality, supporting ecosystems, and maintaining biodiversity in south Florida. Adaptive restoration and management of the Everglades requires the best information possible regarding wetland hydrology. We developed a new and innovative approach to quantify spatial and temporal variations in wetland water levels within the Everglades, Florida. We observed high correlations between water level measured at in situ gages and L-band SAR backscatter coefficients in the freshwater marsh, though C-band SAR backscatter has no close relationship with water level. Here we illustrate the complementarity of SAR backscatter coefficient differencing and interferometry (InSAR) for improved estimation of high spatial resolution water level variations in the Everglades. This technique has a certain limitation in applying to swamp forests with dense vegetation cover, but we conclude that this new method is promising in future applications to wetland hydrology research.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing of Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2014.03.031","usgsCitation":"Kim, J., Lu, Z., Jones, J., Shum, C., Lee, H., and Jia, Y., 2014, Monitoring Everglades freshwater marsh water level using L-band synthetic aperture radar backscatter: Remote Sensing of Environment, v. 150, p. 66-81, https://doi.org/10.1016/j.rse.2014.03.031.","productDescription":"16 p.","startPage":"66","endPage":"81","numberOfPages":"16","ipdsId":"IP-046291","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":291726,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291700,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2014.03.031"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.0,23.5 ], [ -83.0,27.5 ], [ -78.0,27.5 ], [ -78.0,23.5 ], [ -83.0,23.5 ] ] ] } } ] }","volume":"150","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e1e1b4e4b0fe532be24a83","contributors":{"authors":[{"text":"Kim, Jin-Woo","contributorId":69486,"corporation":false,"usgs":true,"family":"Kim","given":"Jin-Woo","affiliations":[],"preferred":false,"id":497614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Zhong 0000-0001-9181-1818 lu@usgs.gov","orcid":"https://orcid.org/0000-0001-9181-1818","contributorId":901,"corporation":false,"usgs":true,"family":"Lu","given":"Zhong","email":"lu@usgs.gov","affiliations":[],"preferred":true,"id":497610,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, John W. 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","middleInitial":"W.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":497611,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shum, C. K.","contributorId":85373,"corporation":false,"usgs":true,"family":"Shum","given":"C. K.","affiliations":[],"preferred":false,"id":497615,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lee, Hyongki","contributorId":14748,"corporation":false,"usgs":true,"family":"Lee","given":"Hyongki","email":"","affiliations":[],"preferred":false,"id":497612,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jia, Yuanyuan","contributorId":35660,"corporation":false,"usgs":true,"family":"Jia","given":"Yuanyuan","email":"","affiliations":[],"preferred":false,"id":497613,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70119249,"text":"70119249 - 2014 - Density-stratified flow events in Great Salt Lake, Utah, USA: implications for mercury and salinity cycling","interactions":[],"lastModifiedDate":"2018-09-14T16:03:01","indexId":"70119249","displayToPublicDate":"2014-08-05T14:53:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":866,"text":"Aquatic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Density-stratified flow events in Great Salt Lake, Utah, USA: implications for mercury and salinity cycling","docAbstract":"Density stratification in saline and hypersaline water bodies from throughout the world can have large impacts on the internal cycling and loading of salinity, nutrients, and trace elements. High temporal resolution hydroacoustic and physical/chemical data were collected at two sites in Great Salt Lake (GSL), a saline lake in the western USA, to understand how density stratification may influence salinity and mercury (Hg) distributions. The first study site was in a causeway breach where saline water from GSL exchanges with less saline water from a flow restricted bay. Near-surface-specific conductance values measured in water at the breach displayed a good relationship with both flow and wind direction. No diurnal variations in the concentration of dissolved (<0.45 μm) methylmercury (MeHg) were observed during the 24-h sampling period; however, the highest proportion of particulate Hg<sub>total</sub> and MeHg loadings was observed during periods of elevated salinity. The second study site was located on the bottom of GSL where movement of a high-salinity water layer, referred to as the deep brine layer (DBL), is restricted to a naturally occurring 1.5-km-wide “spillway” structure. During selected time periods in April/May, 2012, wind-induced flow reversals in a railroad causeway breach, separating Gunnison and Gilbert Bays, were coupled with high-velocity flow pulses (up to 55 cm/s) in the DBL at the spillway site. These flow pulses were likely driven by a pressure response of highly saline water from Gunnison Bay flowing into the north basin of Gilbert Bay. Short-term flow reversal events measured at the railroad causeway breach have the ability to move measurable amounts of salt and Hg from Gunnison Bay into the DBL. Future disturbance to the steady state conditions currently imposed by the railroad causeway infrastructure could result in changes to the existing chemical balance between Gunnison and Gilbert Bays. Monitoring instruments were installed at six additional sites in the DBL during October 2012 to assess impacts from any future modifications to the railroad causeway.","language":"English","publisher":"Springer","doi":"10.1007/s10498-014-9237-8","usgsCitation":"Naftz, D.L., Carling, G.T., Angeroth, C., Freeman, M., Rowland, R., and Pazmino, E., 2014, Density-stratified flow events in Great Salt Lake, Utah, USA: implications for mercury and salinity cycling: Aquatic Geochemistry, v. 20, no. 6, p. 547-571, https://doi.org/10.1007/s10498-014-9237-8.","productDescription":"25 p.","startPage":"547","endPage":"571","ipdsId":"IP-042028","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":291724,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291721,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10498-014-9237-8"}],"country":"United States","state":"Utah","otherGeospatial":"Great Salt Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.9012,40.6237 ], [ -112.9012,41.299 ], [ -111.8002,41.299 ], [ -111.8002,40.6237 ], [ -112.9012,40.6237 ] ] ] } } ] }","volume":"20","issue":"6","noUsgsAuthors":false,"publicationDate":"2014-07-26","publicationStatus":"PW","scienceBaseUri":"53e1e1b3e4b0fe532be24a70","contributors":{"authors":[{"text":"Naftz, David L. 0000-0003-1130-6892 dlnaftz@usgs.gov","orcid":"https://orcid.org/0000-0003-1130-6892","contributorId":1041,"corporation":false,"usgs":true,"family":"Naftz","given":"David","email":"dlnaftz@usgs.gov","middleInitial":"L.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":497621,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carling, Gregory T.","contributorId":11964,"corporation":false,"usgs":true,"family":"Carling","given":"Gregory","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":497622,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angeroth, Cory","contributorId":75070,"corporation":false,"usgs":true,"family":"Angeroth","given":"Cory","affiliations":[],"preferred":false,"id":497626,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Freeman, Michael","contributorId":51222,"corporation":false,"usgs":true,"family":"Freeman","given":"Michael","affiliations":[],"preferred":false,"id":497624,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rowland, Ryan","contributorId":43685,"corporation":false,"usgs":true,"family":"Rowland","given":"Ryan","affiliations":[],"preferred":false,"id":497623,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pazmino, Eddy","contributorId":62531,"corporation":false,"usgs":true,"family":"Pazmino","given":"Eddy","email":"","affiliations":[],"preferred":false,"id":497625,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70119243,"text":"70119243 - 2014 - Comparison of surficial CO2 efflux to other measures of subsurface crude oil degradation","interactions":[],"lastModifiedDate":"2018-09-14T16:10:08","indexId":"70119243","displayToPublicDate":"2014-08-05T13:42:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Comparison of surficial CO<sub>2</sub> efflux to other measures of subsurface crude oil degradation","title":"Comparison of surficial CO2 efflux to other measures of subsurface crude oil degradation","docAbstract":"At a spill site near Bemidji, Minnesota, crude oil at the water table has been undergoing anaerobic biodegradation for over 30 years. Previous work at this site has shown that methane produced from biodegradation of the oil migrates upward and is oxidized in a methanotrophic zone midway between the water table and the surface. To compare microbial activity measurement methods from multiple locations in the oil body, surficial carbon dioxide efflux, methanogen and methanotroph concentrations, and oil degradation state were collected. Carbon dioxide effluxes over the oil body averaged more than four times those at the background site. Methanotrophic bacteria concentrations measured using pmoA were over 10<sup>5</sup> times higher above the oil-contaminated sediments compared with the background site. Methanogenic archaea measured using mcrA ranged from 10<sup>5</sup> to over 10<sup>7</sup> in the oil and were below detection in the background. Methanogens correlated very well with methanotroph concentrations (r = 0.99), n-alkylcyclohexane losses as a proxy for degradation state (r = − 0.96), and somewhat less well with carbon dioxide efflux (r = 0.92). Carbon dioxide efflux similarly correlated to methanotroph concentrations (r = 0.90) and n-alkylcyclohexane losses (r = − 0.91).","language":"English","publisher":"Elsevier","doi":"10.1016/j.jconhyd.2014.06.006","usgsCitation":"Warren, E., Sihota, N.J., Hostettler, F.D., and Bekins, B.A., 2014, Comparison of surficial CO2 efflux to other measures of subsurface crude oil degradation: Journal of Contaminant Hydrology, v. 164, p. 275-284, https://doi.org/10.1016/j.jconhyd.2014.06.006.","productDescription":"10 p.","startPage":"275","endPage":"284","numberOfPages":"10","ipdsId":"IP-057108","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":291716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291715,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jconhyd.2014.06.006"}],"projection":"Universal Transverse Mercator projection, Zone 15 N","datum":"North American Datum 1983","country":"United States","state":"Minnesota","city":"Bemidji","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.119972,47.559731 ], [ -95.119972,47.582258 ], [ -95.072165,47.582258 ], [ -95.072165,47.559731 ], [ -95.119972,47.559731 ] ] ] } } ] }","volume":"164","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e1e1b1e4b0fe532be24a66","contributors":{"authors":[{"text":"Warren, Ean ewarren@usgs.gov","contributorId":1351,"corporation":false,"usgs":true,"family":"Warren","given":"Ean","email":"ewarren@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":497607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sihota, Natasha J.","contributorId":46431,"corporation":false,"usgs":true,"family":"Sihota","given":"Natasha","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":497609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hostettler, Frances D. fdhostet@usgs.gov","contributorId":3383,"corporation":false,"usgs":true,"family":"Hostettler","given":"Frances","email":"fdhostet@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":497608,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bekins, Barbara A. 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":1348,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":497606,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70111856,"text":"ofr20141111 - 2014 - Report of the River Master of the Delaware River for the period December 1, 2007-November 30, 2008","interactions":[],"lastModifiedDate":"2014-08-05T12:55:00","indexId":"ofr20141111","displayToPublicDate":"2014-08-05T12:43:00","publicationYear":"2014","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":"2014-1111","title":"Report of the River Master of the Delaware River for the period December 1, 2007-November 30, 2008","docAbstract":"<p>A Decree of the Supreme Court of the United States, entered June 7, 1954, established the position of Delaware River Master within the U.S. Geological Survey (USGS). In addition, the Decree authorizes diversions of water from the Delaware River Basin and requires compensating releases from certain reservoirs, owned by New York City, to be made under the supervision and direction of the River Master. The Decree stipulates that the River Master will furnish reports to the Court, not less frequently than annually. This report is the 55th Annual Report of the River Master of the Delaware River. It covers the 2008 River Master report year, the period from December 1, 2007, to November 30, 2008.</p>\n<br/>\n<p>During the report year, precipitation in the upper Delaware River Basin was 49.79 inches (in.) or 114 percent of the 67 report-year average. Combined storage in Pepacton, Cannonsville, and Neversink Reservoirs remained high from December 2007 to May 2008. Reservoir storage decreased seasonally from June to late October, then increased gradually through the end of November. Delaware River operations during the year were conducted as stipulated by the Decree.</p>\n<br/>\n<p>Diversions from the Delaware River Basin by New York City and New Jersey were in full compliance with the Decree. Reservoir releases were made as directed by the River Master at rates designed to meet the flow objective for the Delaware River at Montague, New Jersey, on 107 days during the report year. Releases were made at conservation rates—rates designed to relieve thermal stress and protect the fishery and aquatic habitat in the tailwaters of the reservoirs—on all other days.</p>\n<br/>\n<p>During the report year, New York City and New Jersey complied fully with the terms of the Decree, and directives and requests of the River Master.</p>\n<br/>\n<p>As part of a long-term program, the quality of water in the Delaware Estuary between Trenton, New Jersey, and Reedy Island Jetty, Delaware, was monitored at various locations. Data on water temperature, specific conductance, dissolved oxygen, and pH were collected continuously by electronic instruments at four sites. Data on water temperature and specific conductance were collected intermittently at one site. In addition, selected water-quality data were collected at 19 sites on a twice-monthly basis and at 3 sites on a monthly basis.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141111","usgsCitation":"Krejmas, B.E., Paulachok, G.N., and Blanchard, S.F., 2014, Report of the River Master of the Delaware River for the period December 1, 2007-November 30, 2008: U.S. Geological Survey Open-File Report 2014-1111, vi, 78 p., https://doi.org/10.3133/ofr20141111.","productDescription":"vi, 78 p.","numberOfPages":"88","onlineOnly":"N","temporalStart":"2007-12-01","temporalEnd":"2008-11-30","ipdsId":"IP-053666","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":291694,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141111.jpg"},{"id":291692,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1111/"},{"id":291693,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1111/pdf/of2014-1111.pdf"}],"country":"United States","state":"Delaware;New Jersey;New York;Pennsylvania","city":"New York City","otherGeospatial":"Delaware River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.5,39.75 ], [ -76.5,42.5 ], [ -74.0,42.5 ], [ -74.0,39.75 ], [ -76.5,39.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e1e1b5e4b0fe532be24a92","contributors":{"authors":[{"text":"Krejmas, Bruce E.","contributorId":102501,"corporation":false,"usgs":true,"family":"Krejmas","given":"Bruce","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":494485,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paulachok, Gary N. gnpaulac@usgs.gov","contributorId":3500,"corporation":false,"usgs":true,"family":"Paulachok","given":"Gary","email":"gnpaulac@usgs.gov","middleInitial":"N.","affiliations":[],"preferred":true,"id":494483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blanchard, Stephen F.","contributorId":54966,"corporation":false,"usgs":true,"family":"Blanchard","given":"Stephen","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":494484,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70113233,"text":"sir20145090 - 2014 - Methods and equations for estimating peak streamflow per square mile in Virginia’s urban basins","interactions":[],"lastModifiedDate":"2014-08-04T15:59:07","indexId":"sir20145090","displayToPublicDate":"2014-08-04T15:35:00","publicationYear":"2014","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":"2014-5090","title":"Methods and equations for estimating peak streamflow per square mile in Virginia’s urban basins","docAbstract":"Models are presented that describe Virginia urban area annual peak streamflow per square mile based on basin percent urban area and basin drainage area. Equations are provided to estimate Virginia urban peak flow per square mile of basin drainage area in each of the following annual exceedance probability categories: 0.995, 0.99, 0.95, 0.9, 0.8, 0.67, 0.5, 0.43, 0.2, 0.1, 0.04, 0.02, 0.01, 0.005, and 0.002 (recurrence intervals of 1.005, 1.01, 1.05, 1.11, 1.25, 1.49, 2.0, 2.3, 5, 10, 25, 50, 100, 200, and 500 years, respectively). Equations apply to Virginia drainage basins ranging in size from no less than 1.2 mi<sup>2</sup> to no more than 2,400 mi<sup>2</sup> containing at least 10 percent urban area, and not more than 96 percent urban area. A total of 115 Virginia drainage basins were analyzed. Actual-by-predicted plots and leverage plots for response variables and explanatory variables in each peak-flow annual exceedance probability category indicate robust model fits and significant explanatory power. Equations for 8 of 15 urban peak-flow response surface models yield R-square values greater than 0.8. Relations identified in statistical models, describing significant increases in urban peak stream discharges as basin urban area increases, affirm empirical relations reported in past studies of change in stream discharge, lag times, and physical streamflow processes, most notably those detailed for urban areas in northern Virginia.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145090","collaboration":"Prepared in cooperation with the Virginia Department of Transportation","usgsCitation":"Austin, S.H., 2014, Methods and equations for estimating peak streamflow per square mile in Virginia’s urban basins: U.S. Geological Survey Scientific Investigations Report 2014-5090, vii, 25 p., https://doi.org/10.3133/sir20145090.","productDescription":"vii, 25 p.","numberOfPages":"38","onlineOnly":"N","ipdsId":"IP-044243","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":291634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145090.jpg"},{"id":291633,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5090/pdf/sir2014-5090.pdf"},{"id":291632,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5090/"}],"projection":"Albers Equal Area projection","datum":"North American Datum 1983","country":"United States","state":"Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.00,36.00 ], [ -84.00,40.00 ], [ -75.00,40.00 ], [ -75.00,36.00 ], [ -84.00,36.00 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e09030e4b0beb42bdc040e","contributors":{"authors":[{"text":"Austin, Samuel H. 0000-0001-5626-023X saustin@usgs.gov","orcid":"https://orcid.org/0000-0001-5626-023X","contributorId":153,"corporation":false,"usgs":true,"family":"Austin","given":"Samuel","email":"saustin@usgs.gov","middleInitial":"H.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":495008,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70117791,"text":"sir20145141 - 2014 - Watershed characteristics and water-quality trends and loads in 12 watersheds in Gwinnett County, Georgia","interactions":[],"lastModifiedDate":"2017-01-18T13:13:47","indexId":"sir20145141","displayToPublicDate":"2014-08-04T11:30:00","publicationYear":"2014","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":"2014-5141","title":"Watershed characteristics and water-quality trends and loads in 12 watersheds in Gwinnett County, Georgia","docAbstract":"<p>The U.S. Geological Survey, in cooperation with Gwinnett County Department of Water Resources, established a Long-Term Trend Monitoring (LTTM) program in 1996. The LTTM program is a comprehensive, long-term, water-quantity and water-quality monitoring program designed to document and analyze the hydrologic and water-quality conditions of selected watersheds of Gwinnett County, Georgia. Water-quality monitoring initially began in six watersheds and was expanded to another six watersheds in 2001.</p>\n<br>\n<p>As part of the LTTM program, streamflow, precipitation, water temperature, specific conductance, and turbidity were measured continuously at the 12 watershed monitoring stations for water years 2004–09. In addition, discrete water-quality samples were collected seasonally from May through October (summer) and November through April (winter), including one base-flow and three stormflow event composite samples, during the study period. Samples were analyzed for nutrients (nitrogen and phosphorus), total organic carbon, trace elements (total lead and total zinc), total dissolved solids, and total suspended sediment (total suspended solids and suspended-sediment concentrations). The sampling scheme was designed to identify variations in water quality both hydrologically and seasonally.</p>\n<br>\n<p>The 12 watersheds were characterized for basin slope, population density, land use for 2009, and the percentage of impervious area from 2000 to 2009. Precipitation in water years 2004–09 was about 18 percent below average, and the county experienced exceptional drought conditions and below average runoff in water years 2007 and 2008. Watershed water yields, the percentage of precipitation that results in runoff, typically are lower in low precipitation years and are higher for watersheds with the highest percentages of impervious areas.</p>\n<br>\n<p>A comparison of base-flow and stormflow water-quality samples indicates that turbidity and concentrations of total ammonia plus organic nitrogen, total nitrogen, total phosphorus, total organic carbon, total lead, total zinc, total suspended solids, and suspended-sediment concentrations increased with increasing discharge at all watersheds. Specific conductance, however, decreased during stormflow at all watersheds, and total dissolved solids concentrations decreased during stormflow at a few of the watersheds. Total suspended solids and suspended-sediment concentrations typically were two orders of magnitude higher in stormflow samples, turbidities were about 1.5 orders of magnitude higher, total phosphorus and total zinc were about one order of magnitude higher, and total ammonia plus organic nitrogen, total nitrogen, total organic carbon, and total lead were about twofold higher than in base-flow samples.</p>\n<br>\n<p>Seasonal patterns and long-term trends in flow-adjusted water-quality concentrations were identified for five representative constituents—total nitrogen, total phosphorus, total zinc, total dissolved solids, and total suspended solids. Seasonal patterns for all five constituents were fairly similar, with higher concentrations in the summer and lower concentrations in the winter. Significant linear long-term trends in stormflow composite concentrations were identified for 36 of the 60 constituent-watershed combinations (5 constituents multiplied by 12 watersheds) for the period of record through water year 2011. Significant trends typically were decreasing for total nitrogen, total phosphorus, total suspended solids, and total zinc and increasing for total dissolved solids. Total dissolved solids and total suspended solids trends had the largest magnitude changes per year.</p>\n<br>\n<p>Stream water loads were estimated for 10 water-quality constituents. These estimates represent the cumulative effects of watershed characteristics, hydrologic processes, biogeochemical processes, climatic variability, and human influences on watershed water quality. Yields, in load per unit area, were used to compare loads from watersheds with different sizes. A load estimation approach developed for the Gwinnett County LTTM program that incorporates storm-event composited samples was used with some minor modifications. This approach employs the commonly used regression-model method. Concentrations were modeled as a function of discharge, time, season, and turbidity to improve model predictions and reduce errors in load estimates. Total suspended solids annual loads have been identified in Gwinnett County’s Watershed Protection Plan for target performance criterion.</p>\n<br>\n<p>The amount of annual runoff is the primary factor in determining the amount of annual constituent loads. Below average runoff during water years 2004–09, especially during water years 2006–08, resulted in corresponding below average loads. Variations in constituent yields between watersheds appeared to be related to various watershed characteristics. Suspended sediment (total suspended solids and suspended-sediment concentrations) along with constituents transported predominately in solid phase (total phosphorus, total organic carbon, total lead, and total zinc) and total dissolved solids typically had higher yields from watersheds that had high percentages of impervious areas or high basin slope. High total nitrogen yields were also associated with watersheds with high percentages of impervious areas. Low total nitrogen, total suspended solids, total lead, and total zinc yields appear to be associated with watersheds that have a low percentage of high-density development. Total suspended solids yields were lower in drought years, water years 2007–08, from the combined effects of less runoff and the result of fewer, lower magnitude storms, which likely resulted in less surface erosion and lower stream sediment transport.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145141","isbn":"9781411338159","collaboration":"Prepared in cooperation with Gwinnett County Department of Water Resources","usgsCitation":"Joiner, J.K., Aulenbach, B.T., and Landers, M.N., 2014, Watershed characteristics and water-quality trends and loads in 12 watersheds in Gwinnett County, Georgia: U.S. Geological Survey Scientific Investigations Report 2014-5141, viii, 79 p., https://doi.org/10.3133/sir20145141.","productDescription":"viii, 79 p.","numberOfPages":"92","onlineOnly":"N","ipdsId":"IP-057246","costCenters":[{"id":13634,"text":"South Atlantic Water Science 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landers@usgs.gov","orcid":"https://orcid.org/0000-0002-3014-0480","contributorId":1103,"corporation":false,"usgs":true,"family":"Landers","given":"Mark","email":"landers@usgs.gov","middleInitial":"N.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":496069,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70103031,"text":"sir20145049 - 2014 - Comparability among four invertebrate sampling methods, Fountain Creek Basin, Colorado, 2010-2012","interactions":[],"lastModifiedDate":"2014-08-04T11:51:56","indexId":"sir20145049","displayToPublicDate":"2014-08-04T10:58:00","publicationYear":"2014","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":"2014-5049","title":"Comparability among four invertebrate sampling methods, Fountain Creek Basin, Colorado, 2010-2012","docAbstract":"The U.S. Geological Survey, in cooperation with Colorado Springs City Engineering and Colorado Springs Utilities, designed a study to determine if sampling method and sample timing resulted in comparable samples and assessments of biological condition. To accomplish this task, annual invertebrate samples were collected concurrently using four sampling methods at 15 U.S. Geological Survey streamflow gages in the Fountain Creek basin from 2010 to 2012. Collectively, the four methods are used by local (U.S. Geological Survey cooperative monitoring program) and State monitoring programs (Colorado Department of Public Health and Environment) in the Fountain Creek basin to produce two distinct sample types for each program that target single-and multiple-habitats. This study found distinguishable differences between single-and multi-habitat sample types using both community similarities and multi-metric index values, while methods from each program within sample type were comparable. This indicates that the Colorado Department of Public Health and Environment methods were compatible with the cooperative monitoring program methods within multi-and single-habitat sample types. Comparisons between September and October samples found distinguishable differences based on community similarities for both sample types, whereas only differences were found for single-habitat samples when multi-metric index values were considered. At one site, differences between September and October index values from single-habitat samples resulted in opposing assessments of biological condition. Direct application of the results to inform the revision of the existing Fountain Creek basin U.S. Geological Survey cooperative monitoring program are discussed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145049","collaboration":"Prepared in cooperation with Colorado Springs City Engineering and Colorado Springs Utilities","usgsCitation":"Zuellig, R.E., Bruce, J.F., Stogner, and Brown, K.D., 2014, Comparability among four invertebrate sampling methods, Fountain Creek Basin, Colorado, 2010-2012: U.S. Geological Survey Scientific Investigations Report 2014-5049, Report: iv, 13 p.; Appendix 1, https://doi.org/10.3133/sir20145049.","productDescription":"Report: iv, 13 p.; Appendix 1","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-053356","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":291587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145049.jpg"},{"id":291585,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5049/pdf/sir2014-5049.pdf"},{"id":291586,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5049/appendix/sir2014-5049_tables.xlsx"},{"id":291584,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5049/"}],"projection":"Albers Equal-area projection","country":"United States","state":"Colorado","otherGeospatial":"Fountain Creek Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.00,38.25 ], [ -105.00,39.00 ], [ -104.50,39.00 ], [ -104.50,38.25 ], [ -105.00,38.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e0902fe4b0beb42bdc0408","contributors":{"authors":[{"text":"Zuellig, Robert E. 0000-0002-4784-2905 rzuellig@usgs.gov","orcid":"https://orcid.org/0000-0002-4784-2905","contributorId":1620,"corporation":false,"usgs":true,"family":"Zuellig","given":"Robert","email":"rzuellig@usgs.gov","middleInitial":"E.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bruce, James F. 0000-0003-3125-2932 jbruce@usgs.gov","orcid":"https://orcid.org/0000-0003-3125-2932","contributorId":916,"corporation":false,"usgs":true,"family":"Bruce","given":"James","email":"jbruce@usgs.gov","middleInitial":"F.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":493100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stogner 0000-0002-3185-1452 rstogner@usgs.gov","orcid":"https://orcid.org/0000-0002-3185-1452","contributorId":938,"corporation":false,"usgs":true,"family":"Stogner","email":"rstogner@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":493101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Krystal D. kdtezak@usgs.gov","contributorId":5587,"corporation":false,"usgs":true,"family":"Brown","given":"Krystal","email":"kdtezak@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":493103,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70139918,"text":"70139918 - 2014 - Adaptations of indigenous bacteria to fuel contamination in karst aquifers in south-central Kentucky","interactions":[],"lastModifiedDate":"2017-01-11T16:46:30","indexId":"70139918","displayToPublicDate":"2014-08-01T16:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2201,"text":"Journal of Cave and Karst Studies","active":true,"publicationSubtype":{"id":10}},"title":"Adaptations of indigenous bacteria to fuel contamination in karst aquifers in south-central Kentucky","docAbstract":"<p>The karst aquifer systems in southern Kentucky can be dynamic and quick to change. Microorganisms that live in these unpredictable aquifers are constantly faced with environmental changes. Their survival depends upon adaptations to changes in water chemistry, taking advantage of positive stimuli and avoiding negative environmental conditions. The U.S. Geological Survey conducted a study in 2001 to determine the capability of bacteria to adapt in two distinct regions of water quality in a karst aquifer, an area of clean, oxygenated groundwater and an area where the groundwater was oxygen depleted and contaminated by jet fuel. Water samples containing bacteria were collected from one clean well and two jet fuel contaminated wells in a conduit-dominated karst aquifer. Bacterial concentrations, enumerated through direct count, ranged from 500,000 to 2.7 million bacteria per mL in the clean portion of the aquifer, and 200,000 to 3.2 million bacteria per mL in the contaminated portion of the aquifer over a twelve month period. Bacteria from the clean well ranged in size from 0.2 to 2.5 mm, whereas bacteria from one fuel-contaminated well were generally larger, ranging in size from 0.2 to 3.9 mm. Also, bacteria collected from the clean well had a higher density and, consequently, were more inclined to sink than bacteria collected from contaminated wells. Bacteria collected from the clean portion of the karst aquifer were predominantly (,95%) Gram-negative and more likely to have flagella present than bacteria collected from the contaminated wells, which included a substantial fraction (,30%) of Gram-positive varieties. The ability of the bacteria from the clean portion of the karst aquifer to biodegrade benzene and toluene was studied under aerobic and anaerobic conditions in laboratory microcosms. The rate of fuel biodegradation in laboratory studies was approximately 50 times faster under aerobic conditions as compared to anaerobic, sulfur-reducing conditions. The optimum pH for fuel biodegradation ranged from 6 to 7. These findings suggest that bacteria have adapted to water-saturated karst systems with a variety of active and passive transport mechanisms.</p>","language":"English","publisher":"National Speleological Society","publisherLocation":"Huntsville, AL","doi":"10.4311/2012MB0270","usgsCitation":"Byl, T.D., Metge, D.W., Agymang, D.T., Bradley, M., Hileman, G., and Harvey, R.W., 2014, Adaptations of indigenous bacteria to fuel contamination in karst aquifers in south-central Kentucky: Journal of Cave and Karst Studies, v. 76, no. 2, p. 104-113, https://doi.org/10.4311/2012MB0270.","productDescription":"10 p.","startPage":"104","endPage":"113","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044923","costCenters":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"links":[{"id":472828,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://doi.org/10.4311/2012mb0270","text":"Publisher Index Page"},{"id":297689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kentucky","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.58251953125,\n              36.50963615733049\n            ],\n            [\n              -89.07714843749999,\n              37.35269280367274\n            ],\n            [\n              -87.890625,\n              37.996162679728116\n            ],\n            [\n              -84.7705078125,\n              39.30029918615029\n            ],\n            [\n              -82.9248046875,\n              38.89103282648849\n            ],\n            [\n              -81.7822265625,\n              37.61423141542417\n            ],\n            [\n              -83.408203125,\n              36.56260003738545\n            ],\n            [\n              -88.11035156249999,\n              36.686041276581925\n            ],\n            [\n              -87.95654296875,\n              36.474306755095235\n            ],\n            [\n              -89.58251953125,\n              36.50963615733049\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"76","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-20","publicationStatus":"PW","scienceBaseUri":"54dd2b23e4b08de9379b3272","contributors":{"authors":[{"text":"Byl, Thomas D. 0000-0001-6907-9149 tdbyl@usgs.gov","orcid":"https://orcid.org/0000-0001-6907-9149","contributorId":583,"corporation":false,"usgs":true,"family":"Byl","given":"Thomas","email":"tdbyl@usgs.gov","middleInitial":"D.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":539717,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Metge, David W. dwmetge@usgs.gov","contributorId":663,"corporation":false,"usgs":true,"family":"Metge","given":"David","email":"dwmetge@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":539718,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Agymang, Daniel T.","contributorId":139007,"corporation":false,"usgs":false,"family":"Agymang","given":"Daniel","email":"","middleInitial":"T.","affiliations":[{"id":12610,"text":"Tennesee State University","active":true,"usgs":false}],"preferred":false,"id":539719,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradley, Mike 0000-0002-2979-265X mbradley@usgs.gov","orcid":"https://orcid.org/0000-0002-2979-265X","contributorId":582,"corporation":false,"usgs":true,"family":"Bradley","given":"Mike","email":"mbradley@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":539720,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hileman, Gregg ghileman@usgs.gov","contributorId":664,"corporation":false,"usgs":true,"family":"Hileman","given":"Gregg","email":"ghileman@usgs.gov","affiliations":[],"preferred":true,"id":539721,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harvey, Ronald W. 0000-0002-2791-8503 rwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2791-8503","contributorId":564,"corporation":false,"usgs":true,"family":"Harvey","given":"Ronald","email":"rwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":539722,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70100259,"text":"70100259 - 2014 - Spatial extent and dissipation of the deep chlorophyll layer in Lake Ontario during the Lake Ontario lower foodweb assessment, 2003 and 2008","interactions":[],"lastModifiedDate":"2017-10-20T11:03:46","indexId":"70100259","displayToPublicDate":"2014-08-01T15:31:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":865,"text":"Aquatic Ecosystem Health & Management","active":true,"publicationSubtype":{"id":10}},"title":"Spatial extent and dissipation of the deep chlorophyll layer in Lake Ontario during the Lake Ontario lower foodweb assessment, 2003 and 2008","docAbstract":"<p><span>Increasing water clarity in Lake Ontario has led to a vertical redistribution of phytoplankton and an increased importance of the deep chlorophyll layer in overall primary productivity. We used in situ fluorometer profiles collected in lakewide surveys of Lake Ontario in 2008 to assess the spatial extent and intensity of the deep chlorophyll layer. In situ fluorometer data were corrected with extracted chlorophyll data using paired samples from Lake Ontario collected in August 2008. The deep chlorophyll layer was present offshore during the stratified conditions of late July 2008 with maximum values from 4-13&nbsp;μg l<sup>-</sup></span><sup>1</sup><span> corrected chlorophyll </span><i>a</i><span> at 10 to 17&nbsp;m depth within the metalimnion. Deep chlorophyll layer was closely associated with the base of the thermocline and a subsurface maximum of dissolved oxygen, indicating the feature's importance as a growth and productivity maximum. Crucial to the deep chlorophyll layer formation, the photic zone extended deeper than the surface mixed layer in mid-summer. The layer extended through most of the offshore in July 2008, but was not present in the easternmost transect that had a deeper surface mixed layer. By early September 2008, the lakewide deep chlorophyll layer had dissipated. A similar formation and dissipation was observed in the lakewide survey of Lake Ontario in 2003.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/14634988.2014.937316","usgsCitation":"Watkins, J., Weidel, B.M., Rudstam, L., and Holek, K.T., 2014, Spatial extent and dissipation of the deep chlorophyll layer in Lake Ontario during the Lake Ontario lower foodweb assessment, 2003 and 2008: Aquatic Ecosystem Health & Management, v. 18, no. 1, p. 18-27, https://doi.org/10.1080/14634988.2014.937316.","productDescription":"10 p.","startPage":"18","endPage":"27","ipdsId":"IP-050791","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":294944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": 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M.","contributorId":93846,"corporation":false,"usgs":true,"family":"Watkins","given":"J. M.","affiliations":[],"preferred":false,"id":492130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weidel, Brian M.","contributorId":64172,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":492129,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rudstam, L. G.","contributorId":21099,"corporation":false,"usgs":true,"family":"Rudstam","given":"L. G.","affiliations":[],"preferred":false,"id":492127,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holek, K. T.","contributorId":38923,"corporation":false,"usgs":true,"family":"Holek","given":"K.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":492128,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70073834,"text":"70073834 - 2014 - Reach-scale comparison of habitat and mollusk assemblages for select sites in the Clinch River with regional context","interactions":[],"lastModifiedDate":"2016-07-08T12:09:23","indexId":"70073834","displayToPublicDate":"2014-08-01T15:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Reach-scale comparison of habitat and mollusk assemblages for select sites in the Clinch River with regional context","docAbstract":"<p>Several hypotheses, including habitat degradation and variation in fluvial geomorphology, have been posed to explain extreme spatial and temporal variation in Clinch River mollusk assemblages. We examined associations between mollusk assemblage metrics (richness, abundance, recruitment) and physical habitat (geomorphology, streambed composition, fish habitat, and riparian condition) at 10 sites selected to represent the range of current assemblage condition in the Clinch River. We compared similar geomorphological units among reaches, employing semi-quantitative and quantitative protocols to characterize mollusk assemblages and a mix of visual assessments and empirical measurements to characterize physical habitat. We found little to no evidence that current assemblage condition was associated with 54 analyzed habitat metrics. When compared to other sites in the Upper Tennessee River Basin (UTRB) that once supported or currently support mollusk assemblages, Clinch River sites were more similar to each other, representing a narrower range of conditions than observed across the larger geographic extent of the UTRB. A post-hoc analysis suggested stream size and average boundary shear stress at bankfull stage may have historically limited species richness in the UTRB (p &lt; 0.001). Associations between mollusk assemblages and physical habitat in the UTRB and Clinch River currently appear obscured by other factors limiting richness, abundance, and recruitment.</p>","language":"English","publisher":"American Water Resources Association","doi":"10.1111/jawr.12218","usgsCitation":"Ostby, B.J., Krstolic, J.L., and Johnson, G.C., 2014, Reach-scale comparison of habitat and mollusk assemblages for select sites in the Clinch River with regional context: Journal of the American Water Resources Association, v. 50, no. 4, p. 859-877, https://doi.org/10.1111/jawr.12218.","productDescription":"19 p.","startPage":"859","endPage":"877","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034905","costCenters":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"links":[{"id":294925,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee, Virginia","otherGeospatial":"Clinch River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.48583984375,\n              37.47485808497102\n            ],\n            [\n              -80.244140625,\n              37.21283151445594\n            ],\n            [\n              -80.48583984375,\n              36.949891786813296\n            ],\n            [\n              -81.05712890625,\n              36.73888412439431\n            ],\n            [\n              -81.71630859375,\n              36.58024660149866\n            ],\n            [\n              -82.81494140625,\n              36.03133177633189\n            ],\n            [\n              -83.56201171875,\n              35.746512259918504\n            ],\n            [\n              -84.19921875,\n              35.496456056584165\n            ],\n            [\n              -84.74853515625,\n              35.35321610123821\n            ],\n            [\n              -85.01220703125,\n              35.51434313431818\n            ],\n            [\n              -84.88037109375,\n              35.88905007936091\n            ],\n            [\n              -84.48486328124999,\n              36.20882309283712\n            ],\n            [\n              -84.26513671875,\n              36.421282443649496\n            ],\n            [\n              -83.8037109375,\n              36.54494944148322\n            ],\n            [\n              -83.232421875,\n              36.66841891894786\n            ],\n            [\n              -82.94677734375,\n              36.82687474287728\n            ],\n            [\n              -82.3974609375,\n              37.00255267215955\n            ],\n            [\n              -82.08984375,\n              37.07271048132943\n            ],\n            [\n              -81.62841796875,\n              37.19533058280065\n            ],\n            [\n              -81.298828125,\n              37.23032838760387\n            ],\n            [\n              -80.48583984375,\n              37.47485808497102\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"50","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-07-22","publicationStatus":"PW","scienceBaseUri":"542fbaa9e4b092f17df61daa","contributors":{"authors":[{"text":"Ostby, Brett J. K.","contributorId":84294,"corporation":false,"usgs":true,"family":"Ostby","given":"Brett","email":"","middleInitial":"J. K.","affiliations":[],"preferred":false,"id":489109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krstolic, Jennifer L. 0000-0003-2253-9886 jkrstoli@usgs.gov","orcid":"https://orcid.org/0000-0003-2253-9886","contributorId":3677,"corporation":false,"usgs":true,"family":"Krstolic","given":"Jennifer","email":"jkrstoli@usgs.gov","middleInitial":"L.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true},{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Gregory C. 0000-0003-3683-5010 gcjohnso@usgs.gov","orcid":"https://orcid.org/0000-0003-3683-5010","contributorId":1420,"corporation":false,"usgs":true,"family":"Johnson","given":"Gregory","email":"gcjohnso@usgs.gov","middleInitial":"C.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489107,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70116314,"text":"70116314 - 2014 - Stream sediment sources in midwest agricultural basins with land retirement along channel","interactions":[],"lastModifiedDate":"2014-10-03T15:27:35","indexId":"70116314","displayToPublicDate":"2014-08-01T15:23:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Stream sediment sources in midwest agricultural basins with land retirement along channel","docAbstract":"Documenting the effects of agricultural land retirement on stream-sediment sources is critical to identifying management practices that improve water quality and aquatic habitat. Particularly difficult to quantify are the effects from conservation easements that commonly are discontinuous along channelized streams and ditches throughout the agricultural midwestern United States. Our hypotheses were that sediment from cropland, retired land, stream banks, and roads would be discernible using isotopic and elemental concentrations and that source contributions would vary with land retirement distribution along tributaries of West Fork Beaver Creek in Minnesota. Channel-bed and suspended sediment were sampled at nine locations and compared with local source samples by using linear discriminant analysis and a four-source mixing model that evaluated seven tracers: In, P, total C, Be, Tl, Th, and Ti. The proportion of sediment sources differed significantly between suspended and channel-bed sediment. Retired land contributed to channel-bed sediment but was not discernible as a source of suspended sediment, suggesting that retired-land material was not mobilized during high-flow conditions. Stream banks were a large contributor to suspended sediment; however, the percentage of stream-bank sediment in the channel bed was lower in basins with more continuous retired land along the riparian corridor. Cropland sediments had the highest P concentrations; basins with the highest cropland-sediment contributions also had the highest P concentrations. Along stream reaches with retired land, there was a lower proportion of cropland material in suspended sediment relative to sites that had almost no land retirement, indicating less movement of nutrients and sediment from cropland to the channel as a result of land retirement.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Quality","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Agronomy","doi":"10.2134/jeq2013.12.0521","usgsCitation":"Williamson, T., Christensen, V.G., Richardson, W.B., Frey, J.W., Gellis, A., Kieta, K., and Fitzpatrick, F.A., 2014, Stream sediment sources in midwest agricultural basins with land retirement along channel: Journal of Environmental Quality, v. 43, no. 5, p. 1624-1634, https://doi.org/10.2134/jeq2013.12.0521.","productDescription":"11 p.","startPage":"1624","endPage":"1634","numberOfPages":"11","ipdsId":"IP-051267","costCenters":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":472830,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2013.12.0521","text":"Publisher Index Page"},{"id":294941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294940,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2013.12.0521"}],"country":"United States","state":"Minnesota","otherGeospatial":"West Fork Beaver Creek","volume":"43","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-09-01","publicationStatus":"PW","scienceBaseUri":"542fbaaee4b092f17df61e00","contributors":{"authors":[{"text":"Williamson, Tanja N. tnwillia@usgs.gov","contributorId":452,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja N.","email":"tnwillia@usgs.gov","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":false,"id":495751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christensen, Victoria G. 0000-0003-4166-7461 vglenn@usgs.gov","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":2354,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","email":"vglenn@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richardson, William B. 0000-0002-7471-4394 wrichardson@usgs.gov","orcid":"https://orcid.org/0000-0002-7471-4394","contributorId":3277,"corporation":false,"usgs":true,"family":"Richardson","given":"William","email":"wrichardson@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":495756,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frey, Jeffrey W. 0000-0002-3453-5009 jwfrey@usgs.gov","orcid":"https://orcid.org/0000-0002-3453-5009","contributorId":487,"corporation":false,"usgs":true,"family":"Frey","given":"Jeffrey","email":"jwfrey@usgs.gov","middleInitial":"W.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495752,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":1709,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen C.","email":"agellis@usgs.gov","affiliations":[{"id":375,"text":"Maryland, Delaware, and the District of Columbia Water Science Center","active":false,"usgs":true}],"preferred":false,"id":495754,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kieta, K. A.","contributorId":47314,"corporation":false,"usgs":true,"family":"Kieta","given":"K. A.","affiliations":[],"preferred":false,"id":495757,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fitzpatrick, Faith A. fafitzpa@usgs.gov","contributorId":1182,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith","email":"fafitzpa@usgs.gov","middleInitial":"A.","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":495753,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70134275,"text":"70134275 - 2014 - Unexpected hydrogen isotope variation in oceanic pelagic seabirds","interactions":[],"lastModifiedDate":"2021-01-04T12:57:32.827009","indexId":"70134275","displayToPublicDate":"2014-08-01T12:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Unexpected hydrogen isotope variation in oceanic pelagic seabirds","docAbstract":"<p><span>Hydrogen isotopes have significantly enhanced our understanding of the biogeography of migratory animals. The basis for this methodology lies in predictable, continental patterns of precipitation&nbsp;</span><i>δD</i><span>&nbsp;values that are often reflected in an organism’s tissues.&nbsp;</span><i>δD</i><span>&nbsp;variation is not expected for oceanic pelagic organisms whose dietary hydrogen (water and organic hydrogen in prey) is transferred up the food web from an isotopically homogeneous water source. We report a 142&nbsp;‰ range in the&nbsp;</span><i>δD</i><span>&nbsp;values of flight feathers from the Hawaiian petrel (</span><i>Pterodroma sandwichensis</i><span>), an oceanic pelagic North Pacific species, and inquire about the source of that variation. We show&nbsp;</span><i>δD</i><span>&nbsp;variation between and within four other oceanic pelagic species: Newell’s shearwater (</span><i>Puffinus auricularis newellii)</i><span>, Black-footed albatross (</span><i>Phoebastria nigripes</i><span>), Laysan albatross (</span><i>Phoebastria immutabilis</i><span>) and Buller’s shearwater (</span><i>Puffinus bulleri</i><span>). The similarity between muscle&nbsp;</span><i>δD</i><span>&nbsp;values of hatch-year Hawaiian petrels and their prey suggests that trophic fractionation does not influence&nbsp;</span><i>δD</i><span>&nbsp;values of muscle. We hypothesize that isotopic discrimination is associated with water loss during salt excretion through salt glands. Salt load differs between seabirds that consume isosmotic squid and crustaceans and those that feed on hyposmotic teleost fish. In support of the salt gland hypothesis, we show an inverse relationship between&nbsp;</span><i>δD</i><span>&nbsp;and percent teleost fish in diet for three seabird species. Our results demonstrate the utility of&nbsp;</span><i>δD</i><span>&nbsp;in the study of oceanic consumers, while also contributing to a better understanding of&nbsp;</span><i>δD</i><span>&nbsp;systematics, the basis for one of the most commonly utilized isotope tools in avian ecology.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00442-014-2985-8","usgsCitation":"Ostrom, P., Wiley, A.E., Rossman, S., Stricker, C.A., and James, H.F., 2014, Unexpected hydrogen isotope variation in oceanic pelagic seabirds: Oecologia, v. 175, no. 4, p. 1227-1235, https://doi.org/10.1007/s00442-014-2985-8.","productDescription":"9 p.","startPage":"1227","endPage":"1235","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055977","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":296381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"175","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-07-03","publicationStatus":"PW","scienceBaseUri":"547ee2d7e4b09357f05f8a7a","contributors":{"authors":[{"text":"Ostrom, Peggy H.","contributorId":55736,"corporation":false,"usgs":false,"family":"Ostrom","given":"Peggy H.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":525784,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wiley, Anne E.","contributorId":41226,"corporation":false,"usgs":false,"family":"Wiley","given":"Anne","email":"","middleInitial":"E.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":525785,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rossman, Sam","contributorId":8759,"corporation":false,"usgs":false,"family":"Rossman","given":"Sam","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":525786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":525783,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"James, Helen F.","contributorId":54414,"corporation":false,"usgs":false,"family":"James","given":"Helen","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":525787,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048554,"text":"70048554 - 2014 - Multilocus phylogeography and systematic revision of North American water shrews (genus: <i>Sorex</i>)","interactions":[],"lastModifiedDate":"2018-08-20T18:12:42","indexId":"70048554","displayToPublicDate":"2014-08-01T12:41:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Multilocus phylogeography and systematic revision of North American water shrews (genus: <i>Sorex</i>)","docAbstract":"North American water shrews, which have traditionally included <i>Sorex alaskanus</i>, <i>S. bendirii</i>, and <i>S. palustris</i>, are widely distributed through Nearctic boreal forests and adapted for life in semiaquatic environments. Molecular mitochondrial signatures for these species have recorded an evolutionary history with variable levels of regional divergence, suggesting a strong role of Quaternary environmental change in speciation processes. We expanded molecular analyses, including more-comprehensive rangewide sampling of specimens representing North American water shrew taxa, except <i>S. alaskanus</i>, and sequencing of 4 independent loci from the nuclear and mitochondrial genomes. We investigated relative divergence of insular populations along the North Pacific Coast, and newly recognized diversity from southwestern montane locations, potentially representing refugial isolates. Congruent independent genealogies, lack of definitive evidence for contemporary gene flow, and high support from coalescent species trees indicated differentiation of 4 major geographic lineages over multiple glacial cycles of the late Quaternary, similar to a growing number of boreal taxa. Limited divergence of insular populations suggested colonization following the last glacial. Characterization of southwestern montane diversity will require further sampling but divergence over multiple loci is indicative of a relictual sky-island fauna. We have reviewed and revised North American water shrew taxonomy including the recognition of 3 species within what was previously known as <i>S. palustris</i>. The possibility of gene flow between most distantly related North American water shrew lineages coupled with unresolved early diversification of this group and other sibling species reflects a complex but potentially productive system for investigating speciation processes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Mammalogy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Mammalogists","doi":"10.1644/13-MAMM-A-196","usgsCitation":"Hope, A.G., Panter, N., Cook, J.A., Talbot, S.L., and Nagorsen, D.W., 2014, Multilocus phylogeography and systematic revision of North American water shrews (genus: <i>Sorex</i>): Journal of Mammalogy, v. 95, no. 4, p. 722-738, https://doi.org/10.1644/13-MAMM-A-196.","productDescription":"17 p.","startPage":"722","endPage":"738","numberOfPages":"17","ipdsId":"IP-049371","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":294911,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294910,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1644/13-MAMM-A-196"}],"country":"Canada, Mexico, United States","volume":"95","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-08-22","publicationStatus":"PW","scienceBaseUri":"542fbaa3e4b092f17df61d3b","contributors":{"authors":[{"text":"Hope, Andrew G. 0000-0003-3814-2891 ahope@usgs.gov","orcid":"https://orcid.org/0000-0003-3814-2891","contributorId":4309,"corporation":false,"usgs":true,"family":"Hope","given":"Andrew","email":"ahope@usgs.gov","middleInitial":"G.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":485067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Panter, Nicholas","contributorId":39309,"corporation":false,"usgs":true,"family":"Panter","given":"Nicholas","email":"","affiliations":[],"preferred":false,"id":485064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cook, Joseph A.","contributorId":70318,"corporation":false,"usgs":true,"family":"Cook","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":485065,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":485063,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nagorsen, David W.","contributorId":75868,"corporation":false,"usgs":true,"family":"Nagorsen","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":485066,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70123176,"text":"70123176 - 2014 - Synthesis of thirty years of surface water quality and aquatic biota data in Shenandoah National Park: Collaboration between the US Geological Survey and the National Park Service","interactions":[],"lastModifiedDate":"2017-03-27T13:57:08","indexId":"70123176","displayToPublicDate":"2014-08-01T11:27:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3561,"text":"The George Wright Forum","active":true,"publicationSubtype":{"id":10}},"title":"Synthesis of thirty years of surface water quality and aquatic biota data in Shenandoah National Park: Collaboration between the US Geological Survey and the National Park Service","docAbstract":"The eastern United States has been the recipient of acidic atmospheric deposition (hereinafter, “acid rain”) for many decades. Deleterious effects of acid rain on natural resources have been well documented for surface water (e.g., Likens et al. 1996; Stoddard et al. 2001), soils (Bailey et al. 2005), forest health (Long et al. 2009), and habitat suitability for stream biota (Baker et al. 1993). Shenandoah National Park (SNP) is located in northern and central Virginia and consists of a long, narrow strip of land straddling the Blue Ridge Mountains (Figure 1). The park’s elevated topography and location downwind of the Ohio River valley, where many acidic emissions to the atmosphere are generated (NSTC 2005), have made it a target for acid rain. Characterizing the link between air quality and water quality as related to acid rain, contaminants, soil conditions, and forest health is a high priority for research and monitoring in SNP. The US Geological Survey (USGS) and SNP have had a long history of collaboration on documenting acid rain effects on the park’s natural resources, starting in 1985 and continuing to the present (Lynch and Dise 1985; Rice et al. 2001, 2004, 2005, 2007; Deviney et al. 2006, 2012; Jastram et al. 2013).","language":"English","publisher":"George Wright Society","issn":"0732-4715","usgsCitation":"Rice, K.C., Jastram, J.D., Wofford, J.E., and Schaberl, J.P., 2014, Synthesis of thirty years of surface water quality and aquatic biota data in Shenandoah National Park: Collaboration between the US Geological Survey and the National Park Service: The George Wright Forum, v. 31, no. 2, p. 198-204.","productDescription":"7 p.","startPage":"198","endPage":"204","ipdsId":"IP-055092","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":293454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295626,"type":{"id":15,"text":"Index Page"},"url":"https://www.georgewright.org/node/9643"}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.20068359374999,\n              38.6275996886131\n            ],\n            [\n              -78.1512451171875,\n              38.7283759182398\n            ],\n            [\n              -78.12103271484375,\n              38.76693348394693\n            ],\n            [\n              -78.1182861328125,\n              38.86109762182888\n            ],\n            [\n            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kcrice@usgs.gov","orcid":"https://orcid.org/0000-0002-9356-5443","contributorId":1998,"corporation":false,"usgs":true,"family":"Rice","given":"Karen","email":"kcrice@usgs.gov","middleInitial":"C.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":499925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jastram, John D. 0000-0002-9416-3358 jdjastra@usgs.gov","orcid":"https://orcid.org/0000-0002-9416-3358","contributorId":3531,"corporation":false,"usgs":true,"family":"Jastram","given":"John","email":"jdjastra@usgs.gov","middleInitial":"D.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":499926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wofford, John E. B.","contributorId":38951,"corporation":false,"usgs":false,"family":"Wofford","given":"John","email":"","middleInitial":"E. B.","affiliations":[],"preferred":false,"id":499927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schaberl, James P.","contributorId":53903,"corporation":false,"usgs":true,"family":"Schaberl","given":"James","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":499928,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204207,"text":"70204207 - 2014 - Offshore pelagic fish community","interactions":[],"lastModifiedDate":"2019-07-17T12:56:34","indexId":"70204207","displayToPublicDate":"2014-08-01T11:23:56","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"14-01","title":"Offshore pelagic fish community","docAbstract":"Lake Ontario’s offshore zone, as defined by Stewart et al. (2013), comprises all waters of the lake where the bottom depth is greater than 15 m excluding those in embayments. When the lake is thermally stratified during June-October, the offshore pelagic zone includes the upper-warm and middle-cool layers of water which serve as important habitat for Alewife and other prey fishes, and for predators like salmon and trout.  Early changes in the fish community of the offshore pelagic zone are well documented elsewhere (e.g., Smith 1972; Christie 1973) as are more recent changes (e.g., Owens et al. 2003; Mills et al. 2003).  Currently the offshore fish community consists of a mix of native and non-native species.  Native species are those that were present prior to European colonization and for the offshore pelagic zone, include predators like Atlantic Salmon and prey fish like Cisco, Emerald Shiner, and Threespine Stickleback.  Non-native species are those that were introduced unintentionally like Alewife and Rainbow Smelt, or that were introduced intentionally like Chinook  Salmon, Coho Salmon, Rainbow Trout, and Brown Trout.  Non-native salmon and trout were introduced originally by fisheries managers to provide fishing opportunities and later to reduce an overabundance of Alewife.  \n\nAlewife is the most abundant prey fish in the offshore pelagic zone and it dominates the diets of native and introduced predators (Brandt 1986; Lantry 2001).  Alewife can have direct and indirect negative effects on other fishes through competition for food and/or predation on their larvae (Madenjian et al. 2008).  Alewife also contain thiaminase, an enzyme that catalyzes the breakdown of thiamine, and fish that eat mainly Alewife can become thiamine deficient which impairs their reproduction (Honeyfield et al. 2005).  Except for that of the Alewife, prey fish populations in the offshore pelagic zone are depressed, and not large enough to sustain the zone’s predators.  Alewife remain necessary for a functional ecosystem that is required to sustain a highly-valued, trophy sport fishery (Stewart et al. 2013).  Wild production of trout and salmon occurs in Lake Ontario tributaries, contributing to in-lake populations (Rand et al. 1993; Connerton et al. 2009; Connerton et al. 2014c).  Stocking hatchery-reared fish (Fig. 1), however, remains an essential tool for managing Lake Ontario’s diverse trout and salmon fisheries and achieving the Offshore Pelagic Zone Goal (Stewart et al. 2013):  \n \nMaintain the offshore pelagic fish community, that is characterized by a diversity of trout and salmon species including Chinook Salmon, Coho Salmon, Rainbow Trout, Brown Trout, and Atlantic Salmon, in balance with prey-fish populations and lower trophic levels.\n\nHere we review the fish-community objectives (FCOs) for Lake Ontario’s offshore pelagic zone  (Stewart et al. 2013) and evaluate whether those objectives were met during this reporting period (2008-2013) by assessing the status of the objectives’ indicators.   We also compare the status of indicators in this reporting period with those in the previous reporting period (2003-2007) (Connerton et al. 2014b).  Specific objectives are in italics at the start of each major section and associated indicators of progress are given in Progress and Outlook subsections.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The State of Lake Ontario in 2008","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Great Lakes Fishery Commission","collaboration":"New York State DEC, Ontario Ministry of Natural Resources and Forestry","usgsCitation":"Connerton, M., Jana Lantry, Walsh, M., Daniels, M.E., Hoyle, J., Bowlby, J., Johnson, J., Bishop, D., and Schaner, T., 2014, Offshore pelagic fish community, 18 p.","productDescription":"18 p.","startPage":"42","endPage":"59","ipdsId":"IP-074847","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":365588,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365478,"type":{"id":15,"text":"Index 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Using widely available discharge and continuously collected specific conductance (SC) data, we adapted and applied a long established chemical hydrograph separation approach to quantify daily and representative annual baseflow discharge at fourteen streams and rivers at large spatial (&gt; 1,000 km<sup>2</sup> watersheds) and temporal (up to 37 years) scales in the Upper Colorado River Basin. On average, annual baseflow was 21-58% of annual stream discharge, 13-45% of discharge during snowmelt, and 40-86% of discharge during low-flow conditions. Results suggest that reservoirs may act to store baseflow discharged to the stream during snowmelt and release that baseflow during low-flow conditions, and that irrigation return flows may contribute to increases in fall baseflow in heavily irrigated watersheds. The chemical hydrograph separation approach, and associated conceptual model defined here provide a basis for the identification of land use, management, and climate effects on baseflow.</p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2013WR014939","usgsCitation":"Miller, M.P., Susong, D.D., Shope, C.L., Heilweil, V.M., and Stolp, B.J., 2014, Continuous estimation of baseflow in snowmelt-dominated streams and rivers in the Upper Colorado River Basin: A chemical hydrograph separation approach: Water Resources Research, v. 50, no. 8, p. 6986-6999, https://doi.org/10.1002/2013WR014939.","productDescription":"14 p.","startPage":"6986","endPage":"6999","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052142","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":472837,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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