{"pageNumber":"586","pageRowStart":"14625","pageSize":"25","recordCount":68919,"records":[{"id":70060019,"text":"70060019 - 2013 - Chronology of Eocene-Miocene sequences on the New Jersey shallow shelf: implications for regional, interregional, and global correlations","interactions":[],"lastModifiedDate":"2014-01-06T08:44:32","indexId":"70060019","displayToPublicDate":"2014-01-06T08:29:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Chronology of Eocene-Miocene sequences on the New Jersey shallow shelf: implications for regional, interregional, and global correlations","docAbstract":"Integrated Ocean Drilling Program Expedition 313 continuously cored and logged latest Eocene to early-middle Miocene sequences at three sites (M27, M28, and M29) on the inner-middle continental shelf offshore New Jersey, providing an opportunity to evaluate the ages, global correlations, and significance of sequence boundaries. We provide a chronology for these sequences using integrated strontium isotopic stratigraphy and biostratigraphy (primarily calcareous nannoplankton, diatoms, and dinocysts [dinoflagellate cysts]). Despite challenges posed by shallow-water sediments, age resolution is typically ±0.5 m.y. and in many sequences is as good as ±0.25 m.y. Three Oligocene sequences were sampled at Site M27 on sequence bottomsets. Fifteen early to early-middle Miocene sequences were dated at Sites M27, M28, and M29 across clinothems in topsets, foresets (where the sequences are thickest), and bottomsets. A few sequences have coarse (∼1 m.y.) or little age constraint due to barren zones; we constrain the age estimates of these less well dated sequences by applying the principle of superposition, i.e., sediments above sequence boundaries in any site are younger than the sediments below the sequence boundaries at other sites. Our age control provides constraints on the timing of deposition in the clinothem; sequences on the topsets are generally the youngest in the clinothem, whereas the bottomsets generally are the oldest. The greatest amount of time is represented on foresets, although we have no evidence for a correlative conformity. Our chronology provides a baseline for regional and interregional correlations and sea-level reconstructions: (1) we correlate a major increase in sedimentation rate precisely with the timing of the middle Miocene climate changes associated with the development of a permanent East Antarctic Ice Sheet; and (2) the timing of sequence boundaries matches the deep-sea oxygen isotopic record, implicating glacioeustasy as a major driver for forming sequence boundaries.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00857.1","usgsCitation":"Browning, J.V., Miller, K.G., Sugarman, P.J., Barron, J., McCarthy, F.M., Kulhanek, D.K., Katz, M.E., and Feigenson, M.D., 2013, Chronology of Eocene-Miocene sequences on the New Jersey shallow shelf: implications for regional, interregional, and global correlations: Geosphere, v. 9, no. 6, p. 1434-1456, https://doi.org/10.1130/GES00857.1.","productDescription":"23 p.","startPage":"1434","endPage":"1456","numberOfPages":"23","ipdsId":"IP-049608","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473364,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00857.1","text":"Publisher Index Page"},{"id":280614,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280590,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/GES00857.1"}],"country":"United States","state":"New Jersey","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.0,38.0 ], [ -77.0,41.0 ], [ -72.0,41.0 ], [ -72.0,38.0 ], [ -77.0,38.0 ] ] ] } } ] }","volume":"9","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-10-11","publicationStatus":"PW","scienceBaseUri":"52cbd062e4b03116c9ddb9c8","contributors":{"authors":[{"text":"Browning, James V.","contributorId":22635,"corporation":false,"usgs":true,"family":"Browning","given":"James","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":487876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Kenneth G.","contributorId":14260,"corporation":false,"usgs":true,"family":"Miller","given":"Kenneth","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":487874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sugarman, Peter J.","contributorId":9251,"corporation":false,"usgs":true,"family":"Sugarman","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":487873,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barron, John","contributorId":87059,"corporation":false,"usgs":true,"family":"Barron","given":"John","affiliations":[],"preferred":false,"id":487880,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCarthy, Francine M.G.","contributorId":62132,"corporation":false,"usgs":true,"family":"McCarthy","given":"Francine","email":"","middleInitial":"M.G.","affiliations":[],"preferred":false,"id":487878,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kulhanek, Denise K.","contributorId":21061,"corporation":false,"usgs":true,"family":"Kulhanek","given":"Denise","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":487875,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Katz, Miriam E.","contributorId":77037,"corporation":false,"usgs":true,"family":"Katz","given":"Miriam","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":487879,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Feigenson, Mark D.","contributorId":35198,"corporation":false,"usgs":true,"family":"Feigenson","given":"Mark","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":487877,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70095478,"text":"70095478 - 2013 - Executive summary: <i>Climate change in the northwest: Implications for our landscapes, waters, and communities</i>","interactions":[],"lastModifiedDate":"2014-05-07T15:50:10","indexId":"70095478","displayToPublicDate":"2014-01-05T15:43:34","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Executive summary: <i>Climate change in the northwest: Implications for our landscapes, waters, and communities</i>","docAbstract":"<p>Climate Change in the Northwest: Implications for Our Landscapes, Waters, and Communities is aimed at assessing the state of knowledge about key climate impacts and consequences to various sectors and communities in the northwest United States. It draws on a wealth of peer-reviewed literature, earlier state-level assessment reports conducted for Washington (2009) and Oregon (2010), as well as a risk-framing workshop. As an assessment, it aims to be representative (though not exhaustive) of the key climate change issues as reflected in the growing body of Northwest climate change science, impacts, and adaptation literature now available.</p>\n\n<br>\n\n<p>This report will serve as an updated resource for scientists, stakeholders, decision makers, students, and community members interested in understanding and preparing for climate change impacts on Oregon, Washington, and Idaho. This more detailed, foundational report is intended to support the key findings presented in the Northwest chapter of the Third National Climate Assessment.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Climate change in the northwest: Implications for our landscapes, waters, and communities","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Island Press","usgsCitation":"Dalton, M.M., Bethel, J., Capalbo, S.M., Cuhaciyan, J., Eigenbrode, S.D., Glick, P., Houston, L.L., Littell, J.S., Lynn, K., Mote, P.W., Raymondi, R., Reeder, W.S., Shafer, S., and Snover, A.K., 2013, Executive summary: <i>Climate change in the northwest: Implications for our landscapes, waters, and communities</i>, chap. <i>of</i> Climate change in the northwest: Implications for our landscapes, waters, and communities, p. XIX-XL.","productDescription":"22 p.","startPage":"XIX","endPage":"XL","ipdsId":"IP-051946","costCenters":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"links":[{"id":286981,"type":{"id":15,"text":"Index Page"},"url":"https://islandpress.org/ip/books/book/distributed/C/bo9111930.html"},{"id":286982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho;Oregon;Washington","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"536b55ece4b0a51a87c4b156","contributors":{"authors":[{"text":"Dalton, Meghan M.","contributorId":7623,"corporation":false,"usgs":true,"family":"Dalton","given":"Meghan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":491212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bethel, Jeffrey","contributorId":107614,"corporation":false,"usgs":true,"family":"Bethel","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":491225,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Capalbo, Susan M.","contributorId":48864,"corporation":false,"usgs":true,"family":"Capalbo","given":"Susan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":491220,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cuhaciyan, J.E.","contributorId":97817,"corporation":false,"usgs":true,"family":"Cuhaciyan","given":"J.E.","affiliations":[],"preferred":false,"id":491223,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eigenbrode, Sanford D.","contributorId":23440,"corporation":false,"usgs":true,"family":"Eigenbrode","given":"Sanford","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":491215,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Glick, Patty","contributorId":47283,"corporation":false,"usgs":true,"family":"Glick","given":"Patty","affiliations":[],"preferred":false,"id":491219,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Houston, Laurie L.","contributorId":11935,"corporation":false,"usgs":true,"family":"Houston","given":"Laurie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":491214,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Littell, Jeremy S.","contributorId":54506,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":491221,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lynn, Kathy","contributorId":101994,"corporation":false,"usgs":true,"family":"Lynn","given":"Kathy","affiliations":[],"preferred":false,"id":491224,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mote, Philip W.","contributorId":36857,"corporation":false,"usgs":true,"family":"Mote","given":"Philip","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":491218,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Raymondi, Rick R.","contributorId":23848,"corporation":false,"usgs":true,"family":"Raymondi","given":"Rick R.","affiliations":[],"preferred":false,"id":491216,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Reeder, W. Spencer","contributorId":83028,"corporation":false,"usgs":true,"family":"Reeder","given":"W.","email":"","middleInitial":"Spencer","affiliations":[],"preferred":false,"id":491222,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Shafer, Sarah L.","contributorId":32623,"corporation":false,"usgs":true,"family":"Shafer","given":"Sarah L.","affiliations":[],"preferred":false,"id":491217,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Snover, Amy K.","contributorId":11511,"corporation":false,"usgs":true,"family":"Snover","given":"Amy","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":491213,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70048969,"text":"ds776 - 2013 - Compilation, quality control, analysis, and summary of discrete suspended-sediment and ancillary data in the United States, 1901-2010","interactions":[],"lastModifiedDate":"2014-01-04T14:07:18","indexId":"ds776","displayToPublicDate":"2014-01-04T14:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"776","title":"Compilation, quality control, analysis, and summary of discrete suspended-sediment and ancillary data in the United States, 1901-2010","docAbstract":"<p>Human-induced and natural changes to the transport of sediment and sediment-associated constituents can degrade aquatic ecosystems and limit human uses of streams and rivers. The lack of a dedicated, easily accessible, quality-controlled database of sediment and ancillary data has made it difficult to identify sediment-related water-quality impairments and has limited understanding of how human actions affect suspended-sediment concentrations and transport. The purpose of this report is to describe the creation of a quality-controlled U.S. Geological Survey suspended-sediment database, provide guidance for its use, and summarize characteristics of suspended-sediment data through 2010. The database is provided as an online application at <i>http://cida.usgs.gov/sediment</i> to allow users to view, filter, and retrieve available suspended-sediment and ancillary data.</p>\n<br/>\n<p>A data recovery, filtration, and quality-control process was performed to expand the availability, representativeness, and utility of existing suspended-sediment data collected by the U.S. Geological Survey in the United States before January 1, 2011. Information on streamflow condition, sediment grain size, and upstream landscape condition were matched to sediment data and sediment-sampling sites to place data in context with factors that may influence sediment transport. Suspended-sediment and selected ancillary data are presented from across the United States with respect to time, streamflow, and landscape condition. Examples of potential uses of this database for identifying sediment-related impairments, assessing trends, and designing new data collection activities are provided. This report and database can support local and national-level decision making, project planning, and data mining activities related to the transport of suspended-sediment and sediment-associated constituents.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds776","usgsCitation":"Lee, C., and Glysson, G.D., 2013, Compilation, quality control, analysis, and summary of discrete suspended-sediment and ancillary data in the United States, 1901-2010: U.S. Geological Survey Data Series 776, v, 35 p., https://doi.org/10.3133/ds776.","productDescription":"v, 35 p.","numberOfPages":"46","onlineOnly":"Y","ipdsId":"IP-040769","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":280609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds776.gif"},{"id":280603,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/776/"},{"id":280608,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/776/pdf/ds776.pdf"}],"scale":"100000","projection":"Universal Transverse Mercator projection","country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.616667,13.233333 ], [ 144.616667,71.833333 ], [ -64.566667,71.833333 ], [ -64.566667,13.233333 ], [ 144.616667,13.233333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52c92d92e4b03cb62a1b0780","contributors":{"authors":[{"text":"Lee, Casey J. 0000-0002-5753-2038","orcid":"https://orcid.org/0000-0002-5753-2038","contributorId":31062,"corporation":false,"usgs":true,"family":"Lee","given":"Casey J.","affiliations":[],"preferred":false,"id":485899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glysson, G. Douglas","contributorId":13607,"corporation":false,"usgs":true,"family":"Glysson","given":"G.","email":"","middleInitial":"Douglas","affiliations":[],"preferred":false,"id":485898,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70055665,"text":"sir20125267 - 2013 - Analysis of postfire hydrology, water quality, and sediment transport for selected streams in areas of the 2002 Hayman and Hinman fires, Colorado","interactions":[],"lastModifiedDate":"2014-01-04T13:55:43","indexId":"sir20125267","displayToPublicDate":"2014-01-04T13:42:00","publicationYear":"2013","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":"2012-5267","title":"Analysis of postfire hydrology, water quality, and sediment transport for selected streams in areas of the 2002 Hayman and Hinman fires, Colorado","docAbstract":"<p>The U.S. Geological Survey (USGS) began a 5-year study in 2003 that focused on postfire stream-water quality and postfire sediment load in streams within the Hayman and Hinman fire study areas. This report compares water quality of selected streams receiving runoff from unburned areas and burned areas using concentrations and loads, and trend analysis, from seasonal data (approximately April–November) collected 2003–2007 at the Hayman fire study area, and data collected from 1999–2000 (prefire) and 2003 (postfire) at the Hinman fire study area. The water-quality data collected during this study include onsite measurements of streamflow, specific conductance, and turbidity, laboratory-determined pH, and concentrations of major ions, nutrients, organic carbon, trace elements, and suspended sediment. Postfire floods and effects on water quality of streams, lakes and reservoirs, drinking-water treatment, and the comparison of measured concentrations to applicable water quality standards also are discussed.</p>\n<br/>\n<p>Exceedances of Colorado water-quality standards in streams of both the Hayman and Hinman fire study areas only occurred for concentrations of five trace elements (not all trace-element exceedances occurred in every stream). Selected samples analyzed for total recoverable arsenic (fixed), dissolved copper (acute and chronic), total recoverable iron (chronic), dissolved manganese (acute, chronic, and fixed) and total recoverable mercury (chronic) exceeded Colorado aquatic-life standards.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125267","collaboration":"Prepared in cooperation with Douglas County, U.S. Environmental Protection Agency, the cities of Aurora, Northglenn, Thornton, and Westminster, the Colorado Department of Public Health and Environment, Colorado River Water Conservation District, Colorado Springs Utilities, Denver Water, Federal Emergency Management Agency, North Front Range Water Quality Planning Association, and Routt and Medicine Bow National Forests","usgsCitation":"Stevens, M.R., 2013, Analysis of postfire hydrology, water quality, and sediment transport for selected streams in areas of the 2002 Hayman and Hinman fires, Colorado: U.S. Geological Survey Scientific Investigations Report 2012-5267, Report: ix, 93 p.; Downloads Directory: Appendixes 1-12, https://doi.org/10.3133/sir20125267.","productDescription":"Report: ix, 93 p.; Downloads Directory: Appendixes 1-12","numberOfPages":"106","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-017674","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":280604,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5267/"},{"id":280605,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5267/pdf/sir2012-5267.pdf"},{"id":280606,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5267/downloads/"},{"id":280607,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125267.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Fourmile Creek;Lost Dog Creek;Pine Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.99,38.95 ], [ -107.99,41.0 ], [ -104.22,41.0 ], [ -104.22,38.95 ], [ -107.99,38.95 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52c92d5fe4b03cb62a1b077c","contributors":{"authors":[{"text":"Stevens, Michael R. 0000-0002-9476-6335 mrsteven@usgs.gov","orcid":"https://orcid.org/0000-0002-9476-6335","contributorId":769,"corporation":false,"usgs":true,"family":"Stevens","given":"Michael","email":"mrsteven@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486197,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70049005,"text":"sim3278 - 2013 - Flood-inundation maps for a 6.5-mile reach of the Kentucky River at Frankfort, Kentucky","interactions":[],"lastModifiedDate":"2014-01-03T10:44:30","indexId":"sim3278","displayToPublicDate":"2014-01-03T10:27:48","publicationYear":"2013","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":"3278","title":"Flood-inundation maps for a 6.5-mile reach of the Kentucky River at Frankfort, Kentucky","docAbstract":"Digital flood-inundation maps for a 6.5-mile reach of Kentucky River at Frankfort, Kentucky, were created by the U.S. Geological Survey (USGS) in cooperation with the City of Frankfort Office of Emergency Management. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage Kentucky River at Lock 4 at Frankfort, Kentucky (station no. 03287500). Current conditions for the USGS streamgage may be obtained online at the USGS National Water Information System site (http://waterdata.usgs.gov/nwis/inventory?agency_code=USGS&site_no=03287500). 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 (http:/water.weather.gov/ahps/). The NWS forecasts flood hydrographs at many places that are often colocated at USGS streamgages. The forecasted peak-stage information, also available on the Internet, may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation.  In this study, flood profiles were computed for the Kentucky River reach by using HEC–RAS, a one-dimensional step-backwater model developed by the U.S. Army Corps of Engineers. The hydraulic model was calibrated by using the most current (2013) stage-discharge relation for the Kentucky River at Lock 4 at Frankfort, Kentucky, in combination with streamgage and high-water-mark measurements collected for a flood event in May 2010. The calibrated model was then used to calculate 26 water-surface profiles for a sequence of flood stages, at 1-foot intervals, referenced to the streamgage datum and ranging from a stage near bankfull to the elevation that breached the levees protecting the City of Frankfort. To delineate the flooded area at each interval flood stage, the simulated water-surface profiles were combined with a digital elevation model (DEM) of the study area by using geographic information system software. The DEM consisted of bare-earth elevations within the study area and was derived from a Light Detection And Ranging (LiDAR) dataset having a 5.0-foot horizontal resolution and an accuracy of 0.229 foot.  The availability of these maps, along with Internet information regarding current stages from USGS streamgages and forecasted stages from the NWS, provides emergency management personnel and local residents with critical information for flood response activities such as evacuations, road closures, and postflood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3278","collaboration":"Prepared in cooperation with City of Frankfort, Kentucky, Office of Emergency Management","usgsCitation":"Lant, J.G., 2013, Flood-inundation maps for a 6.5-mile reach of the Kentucky River at Frankfort, Kentucky: U.S. Geological Survey Scientific Investigations Map 3278, Report: vi, 10 p.; Low Resolution and High Resolution Map Sheets; Downloads Directory, https://doi.org/10.3133/sim3278.","productDescription":"Report: vi, 10 p.; Low Resolution and High Resolution Map Sheets; Downloads Directory","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-045182","costCenters":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":280591,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3278/"},{"id":280592,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3278/pdf/sim3278.pdf"},{"id":280593,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3278/PDF-mapSheets/"},{"id":280594,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3278/downloads/"},{"id":280595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3278.jpg"}],"projection":"Lambert Conformal Conic","datum":"North American Datum of 1983","country":"United States","state":"Kentucky","city":"Fankfort","otherGeospatial":"Kentucky River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.916,38.15 ], [ -84.916,38.233 ], [ -84.816,38.233 ], [ -84.816,38.15 ], [ -84.916,38.15 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52c7dbe1e4b0a753c7d3e375","contributors":{"authors":[{"text":"Lant, Jeremiah G. 0000-0001-6688-4820 jlant@usgs.gov","orcid":"https://orcid.org/0000-0001-6688-4820","contributorId":4912,"corporation":false,"usgs":true,"family":"Lant","given":"Jeremiah","email":"jlant@usgs.gov","middleInitial":"G.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485986,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70055737,"text":"ofr20131255 - 2013 - seawaveQ: an R package providing a model and utilities for analyzing trends in chemical concentrations in streams with a seasonal wave (seawave) and adjustment for streamflow (Q) and other ancillary variables","interactions":[],"lastModifiedDate":"2017-10-12T20:16:54","indexId":"ofr20131255","displayToPublicDate":"2014-01-03T09:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1255","title":"seawaveQ: an R package providing a model and utilities for analyzing trends in chemical concentrations in streams with a seasonal wave (seawave) and adjustment for streamflow (Q) and other ancillary variables","docAbstract":"The seawaveQ R package fits a parametric regression model (seawaveQ) to pesticide concentration data from streamwater samples to assess variability and trends. The model incorporates the strong seasonality and high degree of censoring common in pesticide data and users can incorporate numerous ancillary variables, such as streamflow anomalies. The model is fitted to pesticide data using maximum likelihood methods for censored data and is robust in terms of pesticide, stream location, and degree of censoring of the concentration data. This R package standardizes this methodology for trend analysis, documents the code, and provides help and tutorial information, as well as providing additional utility functions for plotting pesticide and other chemical concentration data.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131255","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Ryberg, K.R., and Vecchia, A.V., 2013, seawaveQ: an R package providing a model and utilities for analyzing trends in chemical concentrations in streams with a seasonal wave (seawave) and adjustment for streamflow (Q) and other ancillary variables: U.S. Geological Survey Open-File Report 2013-1255, Report: iv, 13 p.; Downloads Directory, https://doi.org/10.3133/ofr20131255.","productDescription":"Report: iv, 13 p.; Downloads Directory","numberOfPages":"22","onlineOnly":"Y","ipdsId":"IP-049192","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":280584,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131255.jpg"},{"id":280570,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1255/"},{"id":280582,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1255/pdf/ofr13-1255.pdf.pdf"},{"id":280583,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1255/Downloads/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52c7dc0ee4b0a753c7d3e47d","contributors":{"authors":[{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vecchia, Aldo V. 0000-0002-2661-4401","orcid":"https://orcid.org/0000-0002-2661-4401","contributorId":41810,"corporation":false,"usgs":true,"family":"Vecchia","given":"Aldo","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":486258,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70056151,"text":"sir20135214 - 2013 - An update of hydrologic conditions and distribution of selected constituents in water, eastern Snake River Plain aquifer and perched groundwater zones, Idaho National Laboratory, Idaho, emphasis 2009–11","interactions":[],"lastModifiedDate":"2014-01-02T13:21:37","indexId":"sir20135214","displayToPublicDate":"2014-01-02T12:49:29","publicationYear":"2013","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":"2013-5214","title":"An update of hydrologic conditions and distribution of selected constituents in water, eastern Snake River Plain aquifer and perched groundwater zones, Idaho National Laboratory, Idaho, emphasis 2009–11","docAbstract":"Since 1952, wastewater discharged to infiltration ponds (also called percolation ponds) and disposal wells at the Idaho National Laboratory (INL) has affected water quality in the eastern Snake River Plain (ESRP) aquifer and perched groundwater zones underlying the INL. The U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Energy, maintains groundwater monitoring networks at the INL to determine hydrologic trends, and to delineate the movement of radiochemical and chemical wastes in the aquifer and in perched groundwater zones. This report presents an analysis of water-level and water-quality data collected from aquifer, multilevel monitoring system (MLMS), and perched groundwater wells in the USGS groundwater monitoring networks during 2009–11.  Water in the ESRP aquifer primarily moves through fractures and interflow zones in basalt, generally flows southwestward, and eventually discharges at springs along the Snake River. The aquifer primarily is recharged from infiltration of irrigation water, infiltration of streamflow, groundwater inflow from adjoining mountain drainage basins, and infiltration of precipitation.  From March–May 2009 to March–May 2011, water levels in wells generally declined in the northern part of the INL. Water levels generally rose in the central and eastern parts of the INL.  Detectable concentrations of radiochemical constituents in water samples from aquifer wells or MLMS equipped wells in the ESRP aquifer at the INL generally decreased or remained constant during 2009–11. Decreases in concentrations were attributed to radioactive decay, changes in waste-disposal methods, and dilution from recharge and underflow.  In 2011, concentrations of tritium in groundwater from 50 of 127 aquifer wells were greater than or equal to the reporting level and ranged from 200±60 to 7,000±260 picocuries per liter. Tritium concentrations from one or more discrete zones from four wells equipped with MLMS were greater than or equal to reporting levels in water samples collected at various depths. Tritium concentrations in water from wells completed in shallow perched groundwater at the Advanced Test Reactor Complex (ATR Complex) were less than the reporting levels. Tritium concentrations in deep perched groundwater at the ATR Complex equaled or exceeded the reporting level in 12 wells during at least one sampling event during 2009–11 at the ATR Complex.  Concentrations of strontium-90 in water from 20 of 76 aquifer wells sampled during April or October 2011 exceeded the reporting level. Strontium-90 was not detected within the ESRP aquifer beneath the ATR Complex. During at least one sampling event during 2009–11, concentrations of strontium-90 in water from 10 wells completed in deep perched groundwater at the ATR Complex equaled or exceeded the reporting levels.  During 2009–11, concentrations of plutonium-238, and plutonium-239, -240 (undivided), and americium-241 were less than the reporting level in water samples from all aquifer wells and in all wells equipped with MLMS. Concentrations of cesium-137 were equal to or slightly above the reporting level in 8 aquifer wells and from 2 wells equipped with MLMS.  The concentration of chromium in water from one well south of the ATR Complex was 97 micrograms per liter (μg/L) in April 2011, just less than the maximum contaminant level (MCL) of 100 μg/L. Concentrations of chromium in water samples from 69 other wells sampled ranged from 0.8 μg/L to 25 μg/L. During 2009–11, dissolved chromium was detected in water from 15 wells completed in perched groundwater at the ATR Complex.  In 2011, concentrations of sodium in water from most wells in the southern part of the INL were greater than the background concentration of 10 milligrams per liter (mg/L); the highest concentrations were at or near the Idaho Nuclear Engineering and Technology Center (INTEC). After the newpercolation ponds were put into service in 2002 southwest of the INTEC, concentrations of sodium in water samples from the Rifle Range well rose steadily until 2008, when the concentrations generally began decreasing. The increases and decreases were attributed to disposal variability in the new percolation ponds. Concentrations of sodium in most wells equipped with MLMS generally were consistent with depth. During 2011, dissolved sodium concentrations in water from 17 wells completed in deep perched groundwater at the ATR Complex ranged from 6 to 146 mg/L.  In 2011, concentrations of chloride in most water samples from aquifer wells south of the INTEC and at the Central Facilities Area exceeded the background concentrations of 15 mg/L, but were less than the secondary MCL of 250 mg/L. Chloride concentrations in water from wells south of the INTEC have generally increased because of increased chloride disposal to the old percolation ponds since 1984 when discharge of wastewater to the INTEC disposal well was discontinued. After the new percolation ponds were put into service in 2002 southwest of the INTEC, concentrations of chloride in water samples from one well rose steadily until 2008 then began decreasing. Chloride concentrations in water from all but one well completed in the ESRP aquifer at or near the ATR Complex were less than background and ranged between 10 and 14 mg/L during 2011, similar to concentrations detected during the 2006–08 reporting period. During 2011, chloride concentrations in water from two aquifer wells at the Radioactive Waste Management Complex (RWMC) were slightly greater than concentrations detected during the 2006–08 reporting period. The vertical distribution of chloride concentrations in wells equipped with MLMS were generally consistent within zones during 2009–11 and ranged from about 8 to 20 mg/L. During April 2011, dissolved chloride concentrations in shallow perched groundwater at the ATR Complex ranged from 7 to 13 mg/L in water from three wells. Dissolved chloride concentrations in deep perched groundwater at the ATR Complex during 2011 ranged from 4 to 54 mg/L.  In 2011, sulfate concentrations in water samples from 11 aquifer wells in the south-central part of the INL equaled or exceeded the background concentration of sulfate and ranged from 40 to 167 mg/L. The greater-than-background concentrations in water from these wells probably resulted from sulfate disposal at the ATR Complex infiltration ponds or the old INTEC percolation ponds. In 2011, sulfate concentrations in water samples from two wells near the RWMC were greater than background levels and could have resulted from well construction techniques and (or) waste disposal at the RWMC. The vertical distribution of sulfate concentrations in three wells near the southern boundary of the INL was generally consistent with depth, and ranged between 19 and 25 mg/L. The maximum dissolved sulfate concentration in shallow perched groundwater near the ATR Complex was 400 mg/L in well CWP 1 in April 2011. During 2009–11, the maximum concentration of dissolved sulfate in deep perched groundwater at the ATR Complex was 1,550 mg/L in a well located west of the chemical-waste pond.  In 2011, concentrations of nitrate in water from most wells at and near the INTEC exceeded the regional background concentrations of 1 mg/L and ranged from 1.6 to 5.95 mg/L. Concentrations of nitrate in wells south of INTEC and farther away from the influence of disposal areas and the Big Lost River show a general decrease in nitrate concentrations through time.  During 2009–11, water samples from 30 wells were collected and analyzed for volatile organic compounds (VOCs). Six VOCs were detected. At least one and up to five VOCs were detected in water samples from 10 wells. The primary VOCs detected include carbon tetrachloride, chloroform, tetrachloroethylene, 1,1,1-trichloroethane, and trichloroethylene. In 2011, concentrations for all VOCs were less than their respective MCL for drinking water, except carbon tetrachloride in water from two wells.  During 2009–11, variability and bias were evaluated from 56 replicate and 16 blank quality-assurance samples. Results from replicate analyses were investigated to evaluate sample variability. Constituents with acceptable reproducibility were stable isotope ratios, major ions, nutrients, and VOCs. All radiochemical constituents and trace metals had acceptable reproducibility except for gross beta-particle radioactivity, aluminum, antimony, and cobalt. Bias from sample contamination was evaluated from equipment, field, container, and source-solution blanks. No detectable constituent concentrations were reported for equipment blanks of the thief samplers and sampling pipes or for the source-solution and field blanks. Equipment blanks of bailers had detectable concentrations of strontium-90, sodium, chloride, and sulfate, and the container blank had a detectable concentration of dichloromethane.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135214","collaboration":"Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Davis, L.C., Bartholomay, R.C., and Rattray, G.W., 2013, An update of hydrologic conditions and distribution of selected constituents in water, eastern Snake River Plain aquifer and perched groundwater zones, Idaho National Laboratory, Idaho, emphasis 2009–11: U.S. Geological Survey Scientific Investigations Report 2013-5214, x, 89 p., https://doi.org/10.3133/sir20135214.","productDescription":"x, 89 p.","numberOfPages":"206","onlineOnly":"Y","ipdsId":"IP-045208","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":280581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":280580,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5214/pdf/sir20135214.pdf"},{"id":280574,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5214/"}],"projection":"Universal Transverse Mercator projection, Zone 12","datum":"North American Datum of 1927","country":"United States","state":"Idaho","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.75,43.25 ], [ -113.75,44.5 ], [ -112.25,44.5 ], [ -112.25,43.25 ], [ -113.75,43.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52c68a5ee4b06d2ed1226481","contributors":{"authors":[{"text":"Davis, Linda C. lcdavis@usgs.gov","contributorId":2539,"corporation":false,"usgs":true,"family":"Davis","given":"Linda","email":"lcdavis@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartholomay, Roy C. 0000-0002-4809-9287 rcbarth@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-9287","contributorId":1131,"corporation":false,"usgs":true,"family":"Bartholomay","given":"Roy","email":"rcbarth@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486350,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rattray, Gordon W. 0000-0002-1690-3218 grattray@usgs.gov","orcid":"https://orcid.org/0000-0002-1690-3218","contributorId":2521,"corporation":false,"usgs":true,"family":"Rattray","given":"Gordon","email":"grattray@usgs.gov","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486351,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70049031,"text":"fs20133106 - 2013 - Riparian evapotranspiration in Nebraska","interactions":[],"lastModifiedDate":"2014-01-02T12:30:24","indexId":"fs20133106","displayToPublicDate":"2014-01-02T12:24:00","publicationYear":"2013","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":"2013-3106","title":"Riparian evapotranspiration in Nebraska","docAbstract":"With increasing demands being placed on the water resources of Nebraska, characterizing evapotranspiration (ET) from riparian vegetation has gained importance to water users and managers. This report summarizes and compares the results from several studies of the ET from cottonwood-dominated riparian forests, riparian grasslands, and common reed, Phragmites australis, in Nebraska. Reported results show that the highest seasonal ET amounts were associated with Phragmites australis, followed by riparian forests, with riparian grasslands experiencing the lowest total ET of the studied vegetation communities.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133106","collaboration":"Prepared in cooperation with the Central Platte Natural Resources District","usgsCitation":"Hall, B.M., and Rus, D.L., 2013, Riparian evapotranspiration in Nebraska: U.S. Geological Survey Fact Sheet 2013-3106, 4 p., https://doi.org/10.3133/fs20133106.","productDescription":"4 p.","ipdsId":"IP-049559","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":280579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133106.PNG"},{"id":280573,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3106/"},{"id":280578,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3106/pdf/fs2013-3106.pdf"}],"country":"United States","state":"Nebraska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.016666666666666666,0.0011111111111111111 ], [ -0.016666666666666666,0.0011111111111111111 ], [ -95,0.0011111111111111111 ], [ -95,0.0011111111111111111 ], [ -0.016666666666666666,0.0011111111111111111 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52c68a89e4b06d2ed1226576","contributors":{"authors":[{"text":"Hall, Brent M. 0000-0003-3815-5158 bhall@usgs.gov","orcid":"https://orcid.org/0000-0003-3815-5158","contributorId":4547,"corporation":false,"usgs":true,"family":"Hall","given":"Brent","email":"bhall@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rus, David L. 0000-0003-3538-7826 dlrus@usgs.gov","orcid":"https://orcid.org/0000-0003-3538-7826","contributorId":881,"corporation":false,"usgs":true,"family":"Rus","given":"David","email":"dlrus@usgs.gov","middleInitial":"L.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486054,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70111070,"text":"70111070 - 2013 - Geohydrologic and water-quality characterization of a fractured-bedrock test hole in an area of Marcellus shale gas development, Bradford County, Pennsylvania","interactions":[],"lastModifiedDate":"2018-08-15T14:59:58","indexId":"70111070","displayToPublicDate":"2014-01-01T14:23:24","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":129,"text":"Pennsylvania Geological Survey Open-File Report","active":false,"publicationSubtype":{"id":2}},"seriesNumber":"OFMI 13-01.1","title":"Geohydrologic and water-quality characterization of a fractured-bedrock test hole in an area of Marcellus shale gas development, Bradford County, Pennsylvania","docAbstract":"Open-File Miscellaneous Investigation 13–01.1 presents the results of geohydrologic investigations on a 1,664-foot-deep core hole drilled in the Bradford County part of the Gleason 7.5-minute quadrangle in north-central Pennsylvania. In the text, the authors discuss their methods of investigation, summarize physical and analytical results, and place those results in context. Four appendices include (1) a full description of the core in an Excel worksheet; (2) water-quality and core-isotope analytical results in Excel workbooks; (3) geophysical logs in LAS and PDF files, and an Excel workbook containing attitudes of bedding and fractures calculated from televiewer logs; and (4) MP4 clips from the downhole video at selected horizons.","language":"English","publisher":"Pennsylvania Geological Survey","publisherLocation":"Harrisburg, PA","collaboration":"Prepared in cooperation with the U.S. Geological Survey","usgsCitation":"Risser, D.W., Williams, J., Hand, K.L., Behr, R., and Markowski, A.K., 2013, Geohydrologic and water-quality characterization of a fractured-bedrock test hole in an area of Marcellus shale gas development, Bradford County, Pennsylvania: Pennsylvania Geological Survey Open-File Report OFMI 13-01.1, Report: 49 p.; Appendixes 1-4.","productDescription":"Report: 49 p.; Appendixes 1-4","numberOfPages":"49","additionalOnlineFiles":"Y","ipdsId":"IP-044325","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":288090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287959,"type":{"id":15,"text":"Index Page"},"url":"https://www.dcnr.state.pa.us/topogeo/publications/pgspub/openfile/Geology-OFMI13-01.1/index.htm"}],"country":"United States","state":"Pennsylvania","county":"Bradford County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.150116,41.59927 ], [ -77.150116,41.799983 ], [ -76.816664,41.799983 ], [ -76.816664,41.59927 ], [ -77.150116,41.59927 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53903fede4b04eea98bf8510","contributors":{"authors":[{"text":"Risser, Dennis W. 0000-0001-9597-5406 dwrisser@usgs.gov","orcid":"https://orcid.org/0000-0001-9597-5406","contributorId":898,"corporation":false,"usgs":true,"family":"Risser","given":"Dennis","email":"dwrisser@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, John H. 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","middleInitial":"H.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hand, Kristen L.","contributorId":83030,"corporation":false,"usgs":true,"family":"Hand","given":"Kristen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":494230,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Behr, Rose-Anna","contributorId":40520,"corporation":false,"usgs":true,"family":"Behr","given":"Rose-Anna","email":"","affiliations":[],"preferred":false,"id":494229,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Markowski, Antonette K.","contributorId":90220,"corporation":false,"usgs":true,"family":"Markowski","given":"Antonette","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":494231,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048512,"text":"70048512 - 2013 - Spatial and temporal patterns of dust emissions (2004-2012) in semi-arid landscapes, southeastern Utah, USA","interactions":[],"lastModifiedDate":"2014-10-23T09:12:50","indexId":"70048512","displayToPublicDate":"2014-01-01T14:03:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":666,"text":"Aeolian Research","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal patterns of dust emissions (2004-2012) in semi-arid landscapes, southeastern Utah, USA","docAbstract":"Aeolian dust can influence nutrient availability, soil fertility, plant interactions, and water-holding capacity in both source and downwind environments. A network of 85 passive collectors for aeolian sediment spanning numerous plant communities, soil types, and land-use histories covering approximately 4000 square kilometers across southeastern Utah was used to sample horizontal emissions of aeolian sediment. The sample archive dates to 2004 and is currently the largest known record of field-scale dust emissions for the southwestern United States. Sediment flux peaked during the spring months in all plant communities (mean: 38.1 g m<sup>−2</sup> d<sup>−1</sup>), related to higher, sustained wind speeds that begin in the early spring. Dust flux was lowest during the winter period (mean: 5 g m−2 d−1) when surface wind speeds are typically low. Sites dominated by blackbrush and sagebrush shrubs had higher sediment flux (mean: 19.4 g m−2 d−1) compared to grasslands (mean: 11.2 g m−2 d−1), saltbush shrublands (mean: 10.3 g m<sup>−2</sup> d<sup>−1</sup>), and woodlands (mean: 8.1 g m<sup>−2</sup> d<sup>−1</sup>). Contrary to other studies on dust emissions, antecedent precipitation during one, two, and three seasons prior to sample collection did not significantly influence emission rates. Physical site-scale factors controlling dust emissions were complex and varied from one vegetation type to another.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aeolian Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.aeolia.2013.10.002","usgsCitation":"Flagg, C.B., Neff, J.C., Reynolds, R.L., and Belnap, J., 2013, Spatial and temporal patterns of dust emissions (2004-2012) in semi-arid landscapes, southeastern Utah, USA: Aeolian Research, v. 15, p. 31-43, https://doi.org/10.1016/j.aeolia.2013.10.002.","productDescription":"13 p.","startPage":"31","endPage":"43","numberOfPages":"13","temporalStart":"2004-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-045456","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":473367,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aeolia.2013.10.002","text":"Publisher Index Page"},{"id":282274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282271,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.aeolia.2013.10.002"}],"country":"United States","state":"Utah","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.01638888888888889,37.5 ], [ -0.01638888888888889,0.0011111111111111111 ], [ -0.016666666666666666,0.0011111111111111111 ], [ -0.016666666666666666,37.5 ], [ -0.01638888888888889,37.5 ] ] ] } } ] }","volume":"15","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd737de4b0b29085108fd0","contributors":{"authors":[{"text":"Flagg, Cody B. cflagg@usgs.gov","contributorId":4573,"corporation":false,"usgs":true,"family":"Flagg","given":"Cody","email":"cflagg@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":484897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neff, Jason C.","contributorId":34813,"corporation":false,"usgs":true,"family":"Neff","given":"Jason","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":484898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":441,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":271,"text":"Federal Center","active":false,"usgs":true}],"preferred":true,"id":484895,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":484896,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70038467,"text":"70038467 - 2013 - Insights and issues with simulating terrestrial DOC loading of Arctic river networks","interactions":[],"lastModifiedDate":"2015-06-17T13:19:15","indexId":"70038467","displayToPublicDate":"2014-01-01T14:02:49","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Insights and issues with simulating terrestrial DOC loading of Arctic river networks","docAbstract":"<p>Terrestrial carbon dynamics influence the contribution of dissolved organic carbon (DOC) to river networks in addition to hydrology. In this study, we use a biogeochemical process model to simulate the lateral transfer of DOC from land to the Arctic Ocean via riverine transport. We estimate that, over the 20th century, the pan-Arctic watershed has contributed, on average, 32 Tg C/yr of DOC to river networks emptying into the Arctic Ocean with most of the DOC coming from the extensive area of boreal deciduous needle-leaved forests and forested wetlands in Eurasian watersheds. We also estimate that the rate of terrestrial DOC loading has been increasing by 0.037 Tg C/yr2 over the 20th century primarily as a result of climate-induced increases in water yield. These increases have been offset by decreases in terrestrial DOC loading caused by wildfires. Other environmental factors (CO2 fertilization, ozone pollution, atmospheric nitrogen deposition, timber harvest, agriculture) are estimated to have relatively small effects on terrestrial DOC loading to Arctic rivers. The effects of the various environmental factors on terrestrial carbon dynamics have both offset and enhanced concurrent effects on hydrology to influence terrestrial DOC loading and may be changing the relative importance of terrestrial carbon dynamics on this carbon flux. Improvements in simulating terrestrial DOC loading to pan-Arctic rivers in the future will require better information on the production and consumption of DOC within the soil profile, the transfer of DOC from land to headwater streams, the spatial distribution of precipitation and its temporal trends, carbon dynamics of larch-dominated ecosystems in eastern Siberia, and the role of industrial organic effluents on carbon budgets of rivers in western Russia.</p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/11-1050.1","usgsCitation":"Kicklighter, D.W., Hayes, D.J., McClelland, J.W., Peterson, B.J., McGuire, A., and Melillo, J.M., 2013, Insights and issues with simulating terrestrial DOC loading of Arctic river networks: Ecological Applications, v. 23, no. 8, p. 1817-1836, https://doi.org/10.1890/11-1050.1.","productDescription":"20 p.","startPage":"1817","endPage":"1836","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032239","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":473368,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/6466","text":"External Repository"},{"id":282846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282845,"type":{"id":11,"text":"Document"},"url":"https://www.lter.uaf.edu/pdf/1632_Kicklighter_Hayes_2013.pdf"}],"otherGeospatial":"Arctic","volume":"23","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd62a5e4b0b290850fe513","contributors":{"authors":[{"text":"Kicklighter, David W.","contributorId":48872,"corporation":false,"usgs":false,"family":"Kicklighter","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":464295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Daniel J.","contributorId":100237,"corporation":false,"usgs":true,"family":"Hayes","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":464299,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McClelland, James W.","contributorId":94905,"corporation":false,"usgs":true,"family":"McClelland","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":464298,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, Bruce J.","contributorId":62453,"corporation":false,"usgs":true,"family":"Peterson","given":"Bruce","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":464296,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGuire, A. David","contributorId":18494,"corporation":false,"usgs":true,"family":"McGuire","given":"A. David","affiliations":[],"preferred":false,"id":464294,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Melillo, Jerry M.","contributorId":87847,"corporation":false,"usgs":false,"family":"Melillo","given":"Jerry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":464297,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70154884,"text":"70154884 - 2013 - What happens in an estuary doesn't stay there: patterns of biotic connectivity resulting from long term ecological research","interactions":[],"lastModifiedDate":"2015-07-15T14:08:36","indexId":"70154884","displayToPublicDate":"2014-01-01T12:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2929,"text":"Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"What happens in an estuary doesn't stay there: patterns of biotic connectivity resulting from long term ecological research","docAbstract":"<p>The paucity of data on migratory connections and an incomplete understanding of how mobile organisms use geographically separate areas have been obstacles to understanding coastal dynamics. Research on acoustically tagged striped bass (Morone saxatilis) at the Plum Island Ecosystems (PIE) Long Term Ecological Research site, Massachusetts, documents intriguing patterns of biotic connectivity (i.e., long-distance migration between geographically distinct areas). First, the striped bass tagged at PIE migrated southward along the coast using different routes. Second, these tagged fish exhibited strong fidelity and specificity to PIE. For example, across multiple years, tagged striped bass resided in PIE waters for an average of 1.5-2.5 months per year (means: 51-72 days; range 2-122 days), left this estuary in fall, then returned in subsequent years. Third, this specificity and fidelity connected PIE to other locations. The fish exported nutrients and energy to at least three other coastal locations through biomass added as growth. These results demonstrate that what happens in an individual estuary can affect other estuaries. Striped bass that use tightly connected routes to feed in specific estuaries should have greater across-system impacts than fish that are equally likely to go anywhere. Consequently, variations in when, where, and how fish migrate can alter across-estuary impacts.</p>","language":"English","publisher":"The Oceanography Society","publisherLocation":"Rockville, MD","doi":"10.5670/oceanog.2013.60","usgsCitation":"Mather, M.E., Finn, J.T., Kennedy, C., Deegan, L.A., and Smith, J.M., 2013, What happens in an estuary doesn't stay there: patterns of biotic connectivity resulting from long term ecological research: Oceanography, v. 26, no. 3, p. 168-179, https://doi.org/10.5670/oceanog.2013.60.","productDescription":"12 p.","startPage":"168","endPage":"179","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2005-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-045506","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473370,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5670/oceanog.2013.60","text":"Publisher Index Page"},{"id":305767,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Plum Island Ecosystems Long Term Ecological Research site","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.543212890625,\n              42.01665183556825\n            ],\n            [\n              -70.1806640625,\n              42.17154633452751\n            ],\n            [\n              -69.521484375,\n              41.549700145132725\n            ],\n            [\n              -69.90600585937499,\n              41.15384235711447\n            ],\n            [\n              -74.915771484375,\n              38.75408327579141\n            ],\n            [\n              -75.11352539062499,\n              39.33429742980725\n            ],\n            [\n              -74.20166015624999,\n              40.84706035607122\n            ],\n            [\n              -73.026123046875,\n              41.45919537950706\n            ],\n            [\n              -70.543212890625,\n              42.01665183556825\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"26","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55a7843ae4b0183d66e45e9a","contributors":{"authors":[{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":564311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finn, John T.","contributorId":78302,"corporation":false,"usgs":true,"family":"Finn","given":"John","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":564876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennedy, Christina G.","contributorId":145646,"corporation":false,"usgs":false,"family":"Kennedy","given":"Christina G.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":564877,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Deegan, Linda A.","contributorId":34094,"corporation":false,"usgs":false,"family":"Deegan","given":"Linda","email":"","middleInitial":"A.","affiliations":[{"id":27818,"text":"The Ecosystems Center, Marine Biological Laboratory. Woods Hole, MA 02543.","active":true,"usgs":false}],"preferred":false,"id":564878,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Joseph M.","contributorId":106712,"corporation":false,"usgs":false,"family":"Smith","given":"Joseph","email":"","middleInitial":"M.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false},{"id":17855,"text":"School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":564879,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70116317,"text":"sir20105070K - 2013 - A deposit model for magmatic iron-titanium-oxide deposits related to Proterozoic massif anorthosite plutonic suite","interactions":[{"subject":{"id":70047763,"text":"sir20135091 - 2013 - A deposit model for magmatic iron-titanium-oxide deposits related to Proterozoic massif anorthosite plutonic suites","indexId":"sir20135091","publicationYear":"2013","noYear":false,"title":"A deposit model for magmatic iron-titanium-oxide deposits related to Proterozoic massif anorthosite plutonic suites"},"predicate":"SUPERSEDED_BY","object":{"id":70116317,"text":"sir20105070K - 2013 - A deposit model for magmatic iron-titanium-oxide deposits related to Proterozoic massif anorthosite plutonic suite","indexId":"sir20105070K","publicationYear":"2013","noYear":false,"chapter":"K","title":"A deposit model for magmatic iron-titanium-oxide deposits related to Proterozoic massif anorthosite plutonic suite"},"id":1}],"lastModifiedDate":"2022-12-12T23:07:42.262855","indexId":"sir20105070K","displayToPublicDate":"2014-01-01T10:32:56","publicationYear":"2013","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":"2010-5070","chapter":"K","title":"A deposit model for magmatic iron-titanium-oxide deposits related to Proterozoic massif anorthosite plutonic suite","docAbstract":"<p>This descriptive model for magmatic iron-titanium-oxide (Fe-Ti-oxide) deposits hosted by Proterozoic age massif-type anorthosite and related rock types presents their geological, mineralogical, geochemical, and geoenvironmental attributes. Although these Proterozoic rocks are found worldwide, the majority of known deposits are found within exposed rocks of the Grenville Province, stretching from southwestern United States through eastern Canada; its extension into Norway is termed the Rogaland Anorthosite Province. This type of Fe-Ti-oxide deposit dominated by ilmenite rarely contains more than 300 million tons of ore, with between 10- to 45-percent titanium dioxide (TiO<sub>2</sub>), 32- to 45-percent iron oxide (FeO), and less than 0.2-percent vanadium (V).</p>\n<p>The origin of these typically discordant ore deposits remains as enigmatic as the magmatic evolution of their host rocks. The deposits clearly have a magmatic origin, hosted by an age-constrained unique suite of rocks that likely are the consequence of a particular combination of tectonic circumstances, rather than any a priori temporal control. Principal ore minerals are ilmenite and hemo-ilmenite (ilmenite with extensive hematite exsolution lamellae); occurrences of titanomagnetite, magnetite, and apatite that are related to this deposit type are currently of less economic importance. Ore-mineral paragenesis is somewhat obscured by complicated solid solution and oxidation behavior within the Fe-Ti-oxide system. Anorthosite suites hosting these deposits require an extensive history of voluminous plagioclase crystallization to develop plagioclase-melt diapirs with entrained Fe-Ti-rich melt rising from the base of the lithosphere to mid- and upper-crustal levels. Timing and style of oxide mineralization are related to magmatic and dynamic evolution of these diapiric systems and to development and movement of oxide cumulates and related melts.</p>\n<p>Active mines have developed large open pits with extensive waste-rock piles, but because of the nature of the ore and waste rock, the major environmental impacts documented at the mine sites are reported to be waste disposal issues and somewhat degraded water quality.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Mineral deposit models for resource assessment (Scientific Investigations Report 2010-5070)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105070K","usgsCitation":"Woodruff, L.G., Nicholson, S.W., and Fey, D.L., 2013, A deposit model for magmatic iron-titanium-oxide deposits related to Proterozoic massif anorthosite plutonic suite: U.S. Geological Survey Scientific Investigations Report 2010-5070, vii, 47 p., https://doi.org/10.3133/sir20105070K.","productDescription":"vii, 47 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":289714,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20105070K.gif"},{"id":289713,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5070/k/pdf/sir2010-5070k.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":289712,"rank":11,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5070/k/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bfb5e5e4b06d97a6487cfc","contributors":{"authors":[{"text":"Woodruff, Laurel G. 0000-0002-2514-9923 woodruff@usgs.gov","orcid":"https://orcid.org/0000-0002-2514-9923","contributorId":2224,"corporation":false,"usgs":true,"family":"Woodruff","given":"Laurel","email":"woodruff@usgs.gov","middleInitial":"G.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":495762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nicholson, Suzanne W. 0000-0002-9365-1894 swnich@usgs.gov","orcid":"https://orcid.org/0000-0002-9365-1894","contributorId":880,"corporation":false,"usgs":true,"family":"Nicholson","given":"Suzanne","email":"swnich@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":495761,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fey, David L. dfey@usgs.gov","contributorId":713,"corporation":false,"usgs":true,"family":"Fey","given":"David","email":"dfey@usgs.gov","middleInitial":"L.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":495760,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70129217,"text":"70129217 - 2013 - Annual flood sensitivities to El Niño-Southern Oscillation at the global scale","interactions":[],"lastModifiedDate":"2014-10-21T10:00:29","indexId":"70129217","displayToPublicDate":"2014-01-01T09:59:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Annual flood sensitivities to El Niño-Southern Oscillation at the global scale","docAbstract":"Floods are amongst the most dangerous natural hazards in terms of economic damage. Whilst a growing number of studies have examined how river floods are influenced by climate change, the role of natural modes of interannual climate variability remains poorly understood. We present the first global assessment of the influence of El Niño–Southern Oscillation (ENSO) on annual river floods, defined here as the peak daily discharge in a given year. The analysis was carried out by simulating daily gridded discharges using the WaterGAP model (Water – a Global Assessment and Prognosis), and examining statistical relationships between these discharges and ENSO indices. We found that, over the period 1958–2000, ENSO exerted a significant influence on annual floods in river basins covering over a third of the world's land surface, and that its influence on annual floods has been much greater than its influence on average flows. We show that there are more areas in which annual floods intensify with La Niña and decline with El Niño than vice versa. However, we also found that in many regions the strength of the relationships between ENSO and annual floods have been non-stationary, with either strengthening or weakening trends during the study period. We discuss the implications of these findings for science and management. Given the strong relationships between ENSO and annual floods, we suggest that more research is needed to assess relationships between ENSO and flood impacts (e.g. loss of lives or economic damage). Moreover, we suggest that in those regions where useful relationships exist, this information could be combined with ongoing advances in ENSO prediction research, in order to provide year-to-year probabilistic flood risk forecasts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrology and Earth System Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geophysical Society","publisherLocation":"Katlenburg-Lindau, Germany","doi":"10.5194/hess-18-47-2014","usgsCitation":"Ward, P.J., Eisner, S., Florke, M., Dettinger, M., and Kummu, M., 2013, Annual flood sensitivities to El Niño-Southern Oscillation at the global scale: Hydrology and Earth System Sciences, v. 18, p. 47-66, https://doi.org/10.5194/hess-18-47-2014.","productDescription":"20 p.","startPage":"47","endPage":"66","numberOfPages":"20","ipdsId":"IP-052126","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":473371,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-18-47-2014","text":"Publisher Index Page"},{"id":295520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295480,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/hess-18-47-2014"},{"id":295481,"type":{"id":15,"text":"Index Page"},"url":"https://www.hydrol-earth-syst-sci.net/18/47/2014/hess-18-47-2014.html"}],"volume":"18","noUsgsAuthors":false,"publicationDate":"2014-01-06","publicationStatus":"PW","scienceBaseUri":"544775a3e4b0f888a81b82f4","contributors":{"authors":[{"text":"Ward, Philip J.","contributorId":67434,"corporation":false,"usgs":true,"family":"Ward","given":"Philip","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":503551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eisner, S.","contributorId":48892,"corporation":false,"usgs":true,"family":"Eisner","given":"S.","email":"","affiliations":[],"preferred":false,"id":503550,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Florke, M.","contributorId":29335,"corporation":false,"usgs":true,"family":"Florke","given":"M.","email":"","affiliations":[],"preferred":false,"id":503548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dettinger, Michael D. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":8019,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael D.","affiliations":[],"preferred":false,"id":503547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kummu, M.","contributorId":39711,"corporation":false,"usgs":true,"family":"Kummu","given":"M.","email":"","affiliations":[],"preferred":false,"id":503549,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70154938,"text":"70154938 - 2013 - High-density grass carp stocking effects on a reservoir invasive plant and water quality","interactions":[],"lastModifiedDate":"2015-07-22T10:21:54","indexId":"70154938","displayToPublicDate":"2014-01-01T01:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2180,"text":"Journal of Aquatic Plant Management","active":true,"publicationSubtype":{"id":10}},"title":"High-density grass carp stocking effects on a reservoir invasive plant and water quality","docAbstract":"<p>Stocking grass carp [Ctenopharyngodon idella (Valenciennes)] is a commonly applied technique to control nuisance aquatic vegetation in reservoirs. Factors that influence the degree of aquatic vegetation control are fish stocking density, regional climate, abundance and species composition of the aquatic plant community, and relative grass carp feeding preferences for plant species. We evaluated high-density grass carp stocking in a southeastern U.S. reservoir for control of parrot-feather [Myriophyllum aquaticum (Vell) Verdc.], an invasive aquatic plant that is not preferentially consumed by grass carp and the associated effects on water quality. Lookout Shoals Lake, a 528-ha piedmont North Carolina reservoir, was stocked with triploid grass carp at a density of 100 fish per vegetated hectare. Parrot-feather biomass in the lake was significantly reduced three months after grass carp stocking, compared to biomass in in-situ exclosures. During the second year after grass carp stocking, parrot-feather biomass in the lake compared to biomass in in-situ exclosures indicated continued control, but unexplained lack of growth within most experimental exclosures precluded biomass analyses. Increases in ambient water chlorophyll a, reactive phosphorus, and nitrate-nitrite concentrations were measured after grass carp stocking. The biological significance of observed changes in water chemistry and long-term effects on lake biota remain undetermined. Our results demonstrate that intensive grass carp stocking can control an invasive aquatic plant that is not preferentially consumed by grass carp and reveal associated changes in water quality.</p>","language":"English","publisher":"Aquatic Plant Management Society","publisherLocation":"Vicksburg, MS","usgsCitation":"Garner, A.B., Kwak, T.J., Manuel, K.L., and Barwick, D.H., 2013, High-density grass carp stocking effects on a reservoir invasive plant and water quality: Journal of Aquatic Plant Management, v. 51, p. 27-33.","productDescription":"7 p.","startPage":"27","endPage":"33","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2004-09-01","temporalEnd":"2007-04-30","ipdsId":"IP-034107","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":305880,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://apms.org/2015/01/journal-of-aquatic-plant-management-volume-51-2013/"}],"country":"United States","state":"North Carolina","otherGeospatial":"Lookout Shoals Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.18999481201172,\n              35.754871141690366\n            ],\n            [\n              -81.18999481201172,\n              35.83200999390392\n            ],\n            [\n              -81.07669830322266,\n              35.83200999390392\n            ],\n            [\n              -81.07669830322266,\n              35.754871141690366\n            ],\n            [\n              -81.18999481201172,\n              35.754871141690366\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"51","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55b0beace4b09a3b01b53093","contributors":{"authors":[{"text":"Garner, A. Brad","contributorId":145781,"corporation":false,"usgs":false,"family":"Garner","given":"A.","email":"","middleInitial":"Brad","affiliations":[],"preferred":false,"id":565285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manuel, Kenneth L.","contributorId":145782,"corporation":false,"usgs":false,"family":"Manuel","given":"Kenneth","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":565286,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barwick, D. Hugh","contributorId":31327,"corporation":false,"usgs":true,"family":"Barwick","given":"D.","email":"","middleInitial":"Hugh","affiliations":[],"preferred":false,"id":565287,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70169152,"text":"70169152 - 2013 - Niche overlap, threshold food densities, and limits to prey depletion for a diving duck assemblage in an estuarine bay","interactions":[],"lastModifiedDate":"2017-07-19T15:44:15","indexId":"70169152","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Niche overlap, threshold food densities, and limits to prey depletion for a diving duck assemblage in an estuarine bay","docAbstract":"<p><span>Planning for marine conservation often requires estimates of the amount of habitat needed to support assemblages of interacting species. During winter in subtidal San Pablo Bay, California, the 3 main diving duck species are lesser scaup&nbsp;</span><i>Aythya affinis</i><span>&nbsp;(LESC), greater scaup&nbsp;</span><i>A. marila</i><span>&nbsp;(GRSC), and surf scoter&nbsp;</span><i>Melanitta perspicillata</i><span>&nbsp;(SUSC), which all feed almost entirely on the bivalve&nbsp;</span><i>Corbula amurensis</i><span>. Decreased body mass and fat, increased foraging effort, and major departures of these birds appeared to result from food limitation. Broad overlap in prey size, water depth, and location suggested that the 3 species responded similarly to availability of the same prey. However, an energetics model that accounts for differing body size, locomotor mode, and dive behavior indicated that each species will become limited at different stages of prey depletion in the order SUSC, then GRSC, then LESC. Depending on year, 35 to 66% of the energy in&nbsp;</span><i>Corbula</i><span>&nbsp;standing stocks was below estimated threshold densities for profitable foraging. Ectothermic predators, especially flounders and sturgeons, could reduce excess carrying capacity for different duck species by 4 to 10%. A substantial quantity of prey above profitability thresholds was not exploited before most ducks left San Pablo Bay. Such pre-depletion departure has been attributed in other taxa to foraging aggression. However, in these diving ducks that showed no overt aggression, this pattern may result from high costs of locating all adequate prey patches, resulting reliance on existing flocks to find food, and propensity to stay near dense flocks to avoid avian predation. For interacting species assemblages, modeling profitability thresholds can indicate the species most vulnerable to food declines. However, estimates of total habitat needed require better understanding of factors affecting the amount of prey above thresholds that is not depleted before the predators move elsewhere.</span></p>","language":"English","publisher":"Inter-Research","doi":"10.3354/meps10104","usgsCitation":"Lovvorn, J.R., De La Cruz, S., Takekawa, J.Y., Shaskey, L.E., and Richman, S.E., 2013, Niche overlap, threshold food densities, and limits to prey depletion for a diving duck assemblage in an estuarine bay: Marine Ecology Progress Series, v. 476, p. 251-268, https://doi.org/10.3354/meps10104.","productDescription":"18 p.","startPage":"251","endPage":"268","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-028764","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":473379,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps10104","text":"Publisher Index Page"},{"id":319207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"476","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56f3be47e4b0f59b85e02ebb","contributors":{"authors":[{"text":"Lovvorn, James R.","contributorId":167714,"corporation":false,"usgs":false,"family":"Lovvorn","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":13212,"text":"Southern Illinois University","active":true,"usgs":false}],"preferred":false,"id":623239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De La Cruz, Susan sdelacruz@usgs.gov","contributorId":131159,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"sdelacruz@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":623240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":623238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaskey, Laura E.","contributorId":167715,"corporation":false,"usgs":false,"family":"Shaskey","given":"Laura","email":"","middleInitial":"E.","affiliations":[{"id":17847,"text":"USGS-WERC","active":true,"usgs":false}],"preferred":false,"id":623241,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richman, Samantha E.","contributorId":167716,"corporation":false,"usgs":false,"family":"Richman","given":"Samantha","email":"","middleInitial":"E.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":623242,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70159475,"text":"70159475 - 2013 - Hydraulically controlled discrete sampling from open boreholes","interactions":[],"lastModifiedDate":"2015-11-03T11:51:15","indexId":"70159475","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Hydraulically controlled discrete sampling from open boreholes","docAbstract":"<p>Groundwater sampling from open boreholes in fractured-rock aquifers is particularly challenging because of mixing and dilution of fluid within the borehole from multiple fractures. This note presents an alternative to traditional sampling in open boreholes with packer assemblies. The alternative system called ZONFLO (zonal flow) is based on hydraulic control of borehole flow conditions. Fluid from discrete fractures zones are hydraulically isolated allowing for the collection of representative samples. In rough-faced open boreholes and formations with less competent rock, hydraulic containment may offer an attractive alternative to physical containment with packers. Preliminary test results indicate a discrete zone can be effectively hydraulically isolated from other zones within a borehole for the purpose of groundwater sampling using this new method.</p>","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12120","usgsCitation":"Harte, P.T., 2013, Hydraulically controlled discrete sampling from open boreholes: Groundwater, v. 51, no. 6, p. 822-827, https://doi.org/10.1111/gwat.12120.","productDescription":"6 p.","startPage":"822","endPage":"827","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044671","costCenters":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"links":[{"id":310985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"6","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2013-09-24","publicationStatus":"PW","scienceBaseUri":"5639e8c1e4b0d6133fe732e4","contributors":{"authors":[{"text":"Harte, Philip T. 0000-0002-7718-1204 ptharte@usgs.gov","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":1008,"corporation":false,"usgs":true,"family":"Harte","given":"Philip","email":"ptharte@usgs.gov","middleInitial":"T.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":579125,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70150420,"text":"70150420 - 2013 - Connectedness of land use, nutrients, primary production, and fish assemblages in oxbow lakes","interactions":[],"lastModifiedDate":"2015-06-24T14:25:30","indexId":"70150420","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":873,"text":"Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Connectedness of land use, nutrients, primary production, and fish assemblages in oxbow lakes","docAbstract":"<p><span>We explored the strength of connectedness among hierarchical system components associated with oxbow lakes in the alluvial valley of the Lower Mississippi River. Specifically, we examined the degree of canonical correlation between land use (agriculture and forests), lake morphometry (depth and size), nutrients (total nitrogen and total phosphorus), primary production (chlorophyll-</span><i class=\"EmphasisTypeItalic\">a</i><span>), and various fish assemblage descriptors. Watershed (p&nbsp;&lt;&nbsp;0.01) and riparian (p&nbsp;=&nbsp;0.02) land use, and lake depth (p&nbsp;=&nbsp;0.05) but not size (p&nbsp;=&nbsp;0.28), were associated with nutrient concentrations. In turn, nutrients were associated with primary production (p&nbsp;&lt;&nbsp;0.01), and primary production was associated with sunfish (Centrarchidae) assemblages (p&nbsp;&lt;&nbsp;0.01) and fish biodiversity (p&nbsp;=&nbsp;0.08), but not with those of other taxa and functional guilds. Multiple chemical and biological components of oxbow lake ecosystems are connected to landscape characteristics such as land use and lake depth. Therefore, a top-down hierarchical approach can be useful in developing management and conservation plans for oxbow lakes in a region impacted by widespread landscape changes due to agriculture.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00027-013-0310-y","usgsCitation":"Miranda, L.E., Andrews, C.S., and Kroger, R., 2013, Connectedness of land use, nutrients, primary production, and fish assemblages in oxbow lakes: Aquatic Sciences, v. 76, no. 1, p. 41-50, https://doi.org/10.1007/s00027-013-0310-y.","productDescription":"10 p.","startPage":"41","endPage":"50","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044894","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":302304,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Mississippi","otherGeospatial":"Lower Mississippi River alluvial valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.56005859375,\n              31.541089879585808\n            ],\n            [\n              -91.56005859375,\n              34.985003130171066\n            ],\n            [\n              -90.1318359375,\n              34.985003130171066\n            ],\n            [\n              -90.1318359375,\n              31.541089879585808\n            ],\n            [\n              -91.56005859375,\n              31.541089879585808\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"76","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-09-19","publicationStatus":"PW","scienceBaseUri":"558bd4b4e4b0b6d21dd652e8","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andrews, Caroline S.","contributorId":143700,"corporation":false,"usgs":false,"family":"Andrews","given":"Caroline","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":556831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kroger, Robert","contributorId":143701,"corporation":false,"usgs":false,"family":"Kroger","given":"Robert","email":"","affiliations":[],"preferred":false,"id":556832,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70155070,"text":"70155070 - 2013 - Quantitative and qualitative approaches to identifying migration chronology in a continental migrant","interactions":[],"lastModifiedDate":"2015-08-05T13:01:35","indexId":"70155070","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative and qualitative approaches to identifying migration chronology in a continental migrant","docAbstract":"<p>The degree to which extrinsic factors influence migration chronology in North American waterfowl has not been quantified, particularly for dabbling ducks. Previous studies have examined waterfowl migration using various methods, however, quantitative approaches to define avian migration chronology over broad spatio-temporal scales are limited, and the implications for using different approaches have not been assessed. We used movement data from 19 female adult mallards (Anas platyrhynchos) equipped with solar-powered global positioning system satellite transmitters to evaluate two individual level approaches for quantifying migration chronology. The first approach defined migration based on individual movements among geopolitical boundaries (state, provincial, international), whereas the second method modeled net displacement as a function of time using nonlinear models. Differences in migration chronologies identified by each of the approaches were examined with analysis of variance. The geopolitical method identified mean autumn migration midpoints at 15 November 2010 and 13 November 2011, whereas the net displacement method identified midpoints at 15 November 2010 and 14 November 2011. The mean midpoints for spring migration were 3 April 2011 and 20 March 2012 using the geopolitical method and 31 March 2011 and 22 March 2012 using the net displacement method. The duration, initiation date, midpoint, and termination date for both autumn and spring migration did not differ between the two individual level approaches. Although we did not detect differences in migration parameters between the different approaches, the net displacement metric offers broad potential to address questions in movement ecology for migrating species. Ultimately, an objective definition of migration chronology will allow researchers to obtain a comprehensive understanding of the extrinsic factors that drive migration at the individual and population levels. As a result, targeted conservation plans can be developed to support planning for habitat management and evaluation of long-term climate effects.</p>","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0075673","usgsCitation":"Beatty, W.S., Kesler, D.C., Webb, E.B., Raedeke, A.H., Naylor, L.W., and Humburg, D.D., 2013, Quantitative and qualitative approaches to identifying migration chronology in a continental migrant: PLoS ONE, p. 1-9, https://doi.org/10.1371/journal.pone.0075673.","productDescription":"e75673; 9 p.","startPage":"1","endPage":"9","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-09-01","temporalEnd":"2012-12-31","ipdsId":"IP-045956","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473373,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0075673","text":"Publisher Index Page"},{"id":306440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-09","publicationStatus":"PW","scienceBaseUri":"57f7f1d6e4b0bc0bec0a0024","contributors":{"authors":[{"text":"Beatty, William S. 0000-0003-0013-3113","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":146301,"corporation":false,"usgs":false,"family":"Beatty","given":"William","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":567383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kesler, Dylan C.","contributorId":14358,"corporation":false,"usgs":false,"family":"Kesler","given":"Dylan","email":"","middleInitial":"C.","affiliations":[{"id":6769,"text":"University of Missouri, Columbia, MO","active":true,"usgs":false}],"preferred":false,"id":567384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":564764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Raedeke, Andrew H.","contributorId":94083,"corporation":false,"usgs":true,"family":"Raedeke","given":"Andrew","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":567385,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Naylor, Luke W.","contributorId":145840,"corporation":false,"usgs":false,"family":"Naylor","given":"Luke","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":567386,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Humburg, Dale D.","contributorId":79357,"corporation":false,"usgs":false,"family":"Humburg","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":13073,"text":"Ducks Unlimited, Inc.","active":true,"usgs":false}],"preferred":false,"id":567387,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70157088,"text":"70157088 - 2013 - Hysteresis of unsaturated hydromechanical properties of a silty soil","interactions":[],"lastModifiedDate":"2018-03-08T15:55:01","indexId":"70157088","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2327,"text":"Journal of Geotechnical and Geoenvironmental Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Hysteresis of unsaturated hydromechanical properties of a silty soil","docAbstract":"<p>Laboratory tests to examine hysteresis in the hydrologic and mechanical properties of partially saturated soils were conducted on six intact specimens collected from a landslide-prone area of Alameda County, California. The results reveal that the pore-size distribution parameter remains statistically unchanged between the wetting and drying paths; however, the wetting or drying state has a pronounced influence on the water-entry pressure, the water-filled porosity at zero suction, and the saturated hydraulic conductivity. The suction stress values obtained from the shear-strength tests under both natural moisture and resaturated conditions were mostly bounded by the suction stress characteristic curves (SSCCs) obtained from the hydrologic tests. This finding experimentally confirms that the soil-water retention curve, hydraulic conductivity function, and SSCC are intrinsically related.</p>","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)GT.1943-5606.0000786","collaboration":"Prepared in collaboration with Colorado School of Mines","usgsCitation":"Lu, N., Kaya, M., Collins, B.D., and Godt, J.W., 2013, Hysteresis of unsaturated hydromechanical properties of a silty soil: Journal of Geotechnical and Geoenvironmental Engineering, v. 139, no. 3, p. 507-510, https://doi.org/10.1061/(ASCE)GT.1943-5606.0000786.","productDescription":"4 p.","startPage":"507","endPage":"510","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-027412","costCenters":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":307948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"139","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55f006aae4b0dacf699e9ff7","contributors":{"authors":[{"text":"Lu, Ning","contributorId":191360,"corporation":false,"usgs":false,"family":"Lu","given":"Ning","email":"","affiliations":[{"id":12620,"text":"U.S. Army Corp. of Engineers","active":true,"usgs":false}],"preferred":false,"id":571565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaya, Murat","contributorId":103576,"corporation":false,"usgs":true,"family":"Kaya","given":"Murat","email":"","affiliations":[],"preferred":false,"id":571564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Brian D. bcollins@usgs.gov","contributorId":2406,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":571562,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":571563,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70156931,"text":"70156931 - 2013 - Factors related to occurrence and distribution of selected bacterial and protozoan pathogens in Pennsylvania streams","interactions":[],"lastModifiedDate":"2015-09-03T13:40:35","indexId":"70156931","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Factors related to occurrence and distribution of selected bacterial and protozoan pathogens in Pennsylvania streams","docAbstract":"<p><span>The occurrence and distribution of fecal indicator bacteria (FIB) and bacterial and protozoan pathogens are controlled by diverse factors. To investigate these factors in Pennsylvania streams, 217 samples were collected quarterly from a 27-station water-quality monitoring network from July 2007 through August 2009. Samples were analyzed for concentrations of&nbsp;</span><i>Escherichia coli</i><span>&nbsp;(EC) and enterococci (ENT) indicator bacteria, concentrations of&nbsp;</span><i>Cryptosporidium</i><span>&nbsp;oocysts and&nbsp;</span><i>Giardia</i><span>&nbsp;cysts, and the presence of four genes related to pathogenic types of EC (</span><i>eae</i><span>A,&nbsp;</span><i>stx</i><span>2,&nbsp;</span><i>stx</i><span>1,&nbsp;</span><i>rfb</i><sub>O157</sub><span>) plus three microbial source tracking (MST) gene markers that are also associated with pathogenic ENT and EC (</span><i>esp</i><span>, LTIIa, STII). Water samples were concurrently analyzed for basic water chemistry, physical measures of water quality, nutrients, metals, and a suite of 79 organic compounds that included hormones, pharmaceuticals, and antibiotics. For each sample location, stream discharge was measured by using standardized methods at the time of sample collection, and ancillary sample site information, such as land use and geological characteristics, was compiled. Samples exceeding recreational water quality criteria were more likely to contain all measured pathogen genes but not</span><i>Cryptosporidium</i><span>&nbsp;or&nbsp;</span><i>Giardia</i><span>&nbsp;(oo)cysts. FIB and&nbsp;</span><i>Giardia</i><span>&nbsp;density and frequency of&nbsp;</span><i>eae</i><span>A gene occurrence were significantly related to season. When discharge at a sampling location was high (&gt;75th percentile of daily mean discharge), there were greater densities of FIB and&nbsp;</span><i>Giardia</i><span>, and the&nbsp;</span><i>stx2</i><span>,&nbsp;</span><i>rfb</i><sub>O157</sub><span>, STII, and&nbsp;</span><i>esp</i><span>&nbsp;genes were found more frequently than at other discharge conditions.&nbsp;</span><i>Giardia</i><span>&nbsp;occurrence was likely related to nonpoint sources, which are highly influential during seasonal overland transport resulting from snowmelt and elevated precipitation in late winter and spring in Pennsylvania. When MST markers of human, swine, or bovine origin were present, samples more frequently carried the&nbsp;</span><i>eae</i><span>A,&nbsp;</span><i>stx</i><span>2,&nbsp;</span><i>stx</i><span>1, and&nbsp;</span><i>rfb</i><sub>O157</sub><span>&nbsp;genes, but no genes were related exclusively to an individual MST marker. The human source pharmaceuticals (HSPs) acetaminophen and caffeine were correlated with&nbsp;</span><i>Giardia</i><span>, and the presence of HSPs proved to be more useful than MST markers in distinguishing the occurrence of&nbsp;</span><i>Giardia</i><span>. The HSPs caffeine and carbamazepine were correlated with the sum total of pathogen genes detected in a sample, demonstrating the value of using HSPs as an indicator of fecally derived pathogens. Sites influenced by urban land use with less forest were more likely to have greater FIB and&nbsp;</span><i>Giardia</i><span>&nbsp;densities and sum of the array of pathogen genes. Sites dominated by shallow carbonate bedrock in the upstream catchment were likely to have greater FIB densities and higher sum totals of pathogen genes but no correlation with&nbsp;</span><i>Giardia</i><span>&nbsp;detection. Our study provides a range of specific environmental, chemical, geologic, and land-use variables related to occurrence and distribution of FIB and selected bacterial and protozoan pathogens in Pennsylvania streams. The information presented could be useful for resource managers in understanding bacterial and protozoan pathogen occurrence and their relation to fecal indicator bacteria in similar settings.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2012.10.006","usgsCitation":"Duris, J.W., Reif, A.G., Crouse, D.A., and Isaacs, N.M., 2013, Factors related to occurrence and distribution of selected bacterial and protozoan pathogens in Pennsylvania streams: Water Research, v. 47, no. 1, p. 300-314, https://doi.org/10.1016/j.watres.2012.10.006.","productDescription":"15 p.","startPage":"300","endPage":"314","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2007-07-01","temporalEnd":"2009-08-31","ipdsId":"IP-018567","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":307923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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agreif@usgs.gov","orcid":"https://orcid.org/0000-0002-5054-5207","contributorId":2632,"corporation":false,"usgs":true,"family":"Reif","given":"Andrew","email":"agreif@usgs.gov","middleInitial":"G.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":571171,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crouse, Donna A.","contributorId":147319,"corporation":false,"usgs":false,"family":"Crouse","given":"Donna","email":"","middleInitial":"A.","affiliations":[{"id":16821,"text":"Pennsylvania Dept. Env. Protection, Bureau of Laboratories","active":true,"usgs":false}],"preferred":false,"id":571174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Isaacs, Natasha M. nisaacs@usgs.gov","contributorId":4918,"corporation":false,"usgs":true,"family":"Isaacs","given":"Natasha","email":"nisaacs@usgs.gov","middleInitial":"M.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":571393,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192303,"text":"70192303 - 2013 - Fifty years after Welles and Welles: Distribution and genetic structure of Desert Bighorn Sheep in Death Valley National Park","interactions":[],"lastModifiedDate":"2018-02-27T11:20:41","indexId":"70192303","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Fifty years after Welles and Welles: Distribution and genetic structure of Desert Bighorn Sheep in Death Valley National Park","docAbstract":"The status of desert bighorn sheep (Ovis canadensis nelsoni) populations in the mountains around Death Valley was first evaluated in 1938, shortly after designation of Death Valley National Monument. However, the most comprehensive evaluation of bighorn sheep in the region was conducted by Ralph and Florence Welles during 1955-1961. They documented patterns of use at water sources and other focal areas around Death Valley and roughly estimated numbers of bighorn sheep from observational data. Data collection on bighorn sheep in the area since that time has\nlacked a regional approach needed to address metapopulation questions.From 2011-2013, we evaluated bighorn activity at important water sources and other likely locations around Death Valley using remote cameras and observations of tracks, beds, sign, and bighorn sheep, and non-invasively collected genetic samples (fecal pellets and bones).\nWhere possible, we revisited many of the water sources and other locations originally investigated by Welles and Welles (1961) and earlier researchers. We extracted DNA from fecal pellets, carcass tissue samples, and blood samples archived from earlier captures and genotyped them using highly variable genetic markers (15 microsatellite loci) with sufficient power to distinguish individuals and characterize gene flow and genetic structure. We also analyzed DNA samples collected from other bighorn sheep populations extending north to the White Mountains, west to the Inyo Mountains, south to the Avawatz Mountains, and southeast to the Clark Mountain Range, Kingston Range, and Spring Mountains of Nevada. We estimated genetic structure and recent gene flow among nearly all known populations of bighorn sheep in and around Death Valley National Park (DEVA), and used assignment tests to evaluate individual and population-level genetic structure to infer connectivity across the region. We found that bighorn sheep are still widely distributed in mountain ranges throughout DEVA, including many of the areas described by Welles and Welles (1961), although some use patterns appear to have changed and other areas still require resurvey. Gene flow was relatively high through some sections of fairly continuous habitat, such as the Grapevine and Funeral Mountains along the eastern side of Death Valley, but other populations were more isolated. Genetic diversity was relatively high throughout the park. Although southern Death Valley populations were genetically distinct from populations to the southeast, population assignment tests and recent gene flow estimates suggested that individuals occasionally migrate between those regions, indicating the potential for the recent outbreak of respiratory disease in the southern Mojave Desert to spread into the Death Valley system. We recommend careful monitoring of bighorn sheep using remote cameras to check for signs of respiratory disease in southeastern DEVA and ground surveys in the still-understudied southwestern part of DEVA.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"1st Death Valley Natural History Conference Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Death Valley National History Association","usgsCitation":"Epps, C.W., Wehausen, J.D., Sloan, W.B., Holt, S., Creech, T.G., Crowhurst, R.S., Jaeger, J.R., Longshore, K.M., and Monello, R.J., 2013, Fifty years after Welles and Welles: Distribution and genetic structure of Desert Bighorn Sheep in Death Valley National Park, <i>in</i> 1st Death Valley Natural History Conference Proceedings.","ipdsId":"IP-056088","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":352068,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347251,"type":{"id":15,"text":"Index Page"},"url":"https://dvnha.org/opencart/index.php?route=product/product&product_id=768&search=proceedings+Death+Valley+Natural+History+Conference"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeefd7e4b0da30c1bfc798","contributors":{"authors":[{"text":"Epps, Clinton W.","contributorId":198148,"corporation":false,"usgs":false,"family":"Epps","given":"Clinton","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":715207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wehausen, John D.","contributorId":198149,"corporation":false,"usgs":false,"family":"Wehausen","given":"John","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":715208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sloan, William B.","contributorId":198150,"corporation":false,"usgs":false,"family":"Sloan","given":"William","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":715209,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holt, Stacy","contributorId":198151,"corporation":false,"usgs":false,"family":"Holt","given":"Stacy","email":"","affiliations":[],"preferred":false,"id":715210,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Creech, Tyler G.","contributorId":198152,"corporation":false,"usgs":false,"family":"Creech","given":"Tyler","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":715211,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crowhurst, Rachel S.","contributorId":198153,"corporation":false,"usgs":false,"family":"Crowhurst","given":"Rachel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":715212,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jaeger, Jef R.","contributorId":198154,"corporation":false,"usgs":false,"family":"Jaeger","given":"Jef","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":715213,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Longshore, Kathleen M. 0000-0001-6621-1271 longshore@usgs.gov","orcid":"https://orcid.org/0000-0001-6621-1271","contributorId":2677,"corporation":false,"usgs":true,"family":"Longshore","given":"Kathleen","email":"longshore@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":715206,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Monello, Ryan J.","contributorId":184143,"corporation":false,"usgs":false,"family":"Monello","given":"Ryan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":715214,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70173869,"text":"70173869 - 2013 - Larval gizzard shad characteristics in Lake Oahe, South Dakota: A species at the northern edge of its range","interactions":[],"lastModifiedDate":"2016-06-15T15:19:11","indexId":"70173869","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Larval gizzard shad characteristics in Lake Oahe, South Dakota: A species at the northern edge of its range","docAbstract":"<p><span>Gizzard shad,&nbsp;</span><i>Dorosoma cepedianum,</i><span>&nbsp;have generally been restricted to the lower Missouri River impoundments in South Dakota. In recent years, gizzard shad numbers have increased in Lake Oahe, marking the northern-most natural population. These increases could potentially affect recreational fishes. Specifically, questions arise about larval gizzard shad growth dynamics and if age-0 gizzard shad in Lake Oahe will exhibit fast or slow growth, both of which can have profound effects on piscivore populations in this reservoir. In this study, we evaluated larval gizzard shad hatch timing, growth, and density in Lake Oahe. We collected larval gizzard shad from six sites from May to July 2008 and used sagittal otoliths to estimate the growth and back-calculate the hatch date. We found that larval gizzard shad hatched earlier in the upper part of the reservoir compared to the lower portion and that hatch date appeared to correspond to warming water temperatures. The peak larval gizzard shad density ranged from 0.6 to 33.6 (#/100&thinsp;m</span><sup>3</sup><span>) and varied significantly among reservoir sites. Larval gizzard shad growth ranged from 0.24 to 0.57 (mm/d) and differed spatially within the reservoir. We found no relationship between the larval gizzard shad growth or density and small- or large-bodied zooplankton density (</span><i>p</i><span>&thinsp;&gt;&thinsp;0.05). As this population exhibits slow growth and low densities, gizzard shad should remain a suitable forage option for recreational fishes in Lake Oahe.</span></p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/02705060.2012.709887","usgsCitation":"Fincel, M.J., Chipps, S.R., Graeb, B.D., and Edwards, K.R., 2013, Larval gizzard shad characteristics in Lake Oahe, South Dakota: A species at the northern edge of its range: Journal of Freshwater Ecology, v. 28, no. 1, p. 17-26, https://doi.org/10.1080/02705060.2012.709887.","productDescription":"10 p.","startPage":"17","endPage":"26","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037554","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Lake Oahe","volume":"28","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57627c34e4b07657d19a6a00","contributors":{"authors":[{"text":"Fincel, Mark J.","contributorId":171853,"corporation":false,"usgs":false,"family":"Fincel","given":"Mark","email":"","middleInitial":"J.","affiliations":[{"id":26957,"text":"South Dakota Game, Fish and Parks, Ft. Pierre, SD","active":true,"usgs":false}],"preferred":false,"id":638867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":638864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graeb, Brian D. S.","contributorId":171851,"corporation":false,"usgs":false,"family":"Graeb","given":"Brian","email":"","middleInitial":"D. S.","affiliations":[{"id":26956,"text":"Departement of Natural Resource Management, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":638865,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, Kris R.","contributorId":171852,"corporation":false,"usgs":false,"family":"Edwards","given":"Kris","email":"","middleInitial":"R.","affiliations":[{"id":26957,"text":"South Dakota Game, Fish and Parks, Ft. Pierre, SD","active":true,"usgs":false}],"preferred":false,"id":638866,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70171461,"text":"70171461 - 2013 - Impact of valley fills on streamside salamanders in southern West Virginia","interactions":[],"lastModifiedDate":"2016-05-31T15:27:11","indexId":"70171461","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Impact of valley fills on streamside salamanders in southern West Virginia","docAbstract":"<p><span>Valley fills associated with mountaintop-removal mining bury stream headwaters and affect water quality and ecological function of reaches below fills. We quantified relative abundance of streamside salamanders in southern West Virginia during 2002 in three streams below valley fills (VFS) and in three reference streams (RS). We surveyed 36 10- &times; 2-m stream transects, once in summer and fall, paired by order and structure. Of 2,343 salamanders captured, 66.7% were from RS. Total salamanders (adults plus larvae) were more abundant in RS than VFS for first-order and second-order reaches. Adult salamanders had greater abundance in first-order reaches of RS than VFS. Larval salamanders were more abundant in second-order reaches of RS than VFS. No stream width or mesohabitat variables differed between VFS and RS. Only two cover variables differed. Silt cover, greater in VFS than RS first-order reaches, is a likely contributor to reduced abundance of salamanders in VFS. Second-order RS had more boulder cover than second-order VFS, which may have contributed to the higher total and larval salamander abundance in RS. Water chemistry assessments of our VFS and RS reported elevated levels of metal and ion concentrations in VFS, which can depress macroinvertebrate populations and likely affect salamander abundance. Valley fills appear to have significant negative effects on stream salamander abundance due to alterations in habitat structure, water quality and chemistry, and macroinvertebrate communities in streams below fills.</span></p>","language":"English","publisher":"The Society for the Study of Amphibians and Reptiles","doi":"10.1670/11-187","usgsCitation":"Wood, P.B., and Williams, J.M., 2013, Impact of valley fills on streamside salamanders in southern West Virginia: Journal of Herpetology, v. 47, no. 1, p. 119-125, https://doi.org/10.1670/11-187.","productDescription":"7 p.","startPage":"119","endPage":"125","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-031251","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":321943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","volume":"47","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"574eb5d0e4b0ee97d51a83cc","contributors":{"authors":[{"text":"Wood, Petra Bohall pbwood@usgs.gov","contributorId":1791,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"Bohall","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":631079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Jennifer M.","contributorId":169811,"corporation":false,"usgs":false,"family":"Williams","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":631108,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70173625,"text":"70173625 - 2013 - Landsat imagery reveals declining clarity of Maine’s lakes during 1995-2010","interactions":[],"lastModifiedDate":"2016-06-09T15:10:12","indexId":"70173625","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Landsat imagery reveals declining clarity of Maine’s lakes during 1995-2010","docAbstract":"<p><span>Water clarity is a strong indicator of regional water quality. Unlike other common water-quality metrics, such as chlorophyll&nbsp;</span><i>a</i><span>, total P, or trophic status, clarity can be accurately and efficiently estimated remotely on a regional scale. Satellite-based remote sensing is useful in regions with many lakes where traditional field-sampling techniques may be prohibitively expensive. Repeated sampling of easily accessed lakes can lead to spatially irregular, nonrandom samples of a region. Remote sensing remedies this problem. We applied a remote monitoring protocol we had previously developed for Maine lakes &gt;8&nbsp;ha based on Landsat satellite data recorded during 1995&ndash;2010 to identify spatial and temporal patterns in Maine lake clarity. We focused on the overlapping region of Landsat paths 11 and 12 to increase availability of cloud-free images in August and early September, a period of relative lake stability and seasonal poor-clarity conditions well suited for annual monitoring. We divided Maine into 3 regions (northeastern, south-central, western) based on morphometric and chemical lake features. We found a general decrease in average statewide lake clarity from 4.94 to 4.38&nbsp;m during 1995&ndash;2010. Water clarity ranged from 4 to 6&nbsp;m during 1995&ndash;2010, but it decreased consistently during 2005&ndash;2010. Clarity in both the northeastern and western lake regions has decreased from 5.22&nbsp;m in 1995 to 4.36 and 4.21&nbsp;m, respectively, in 2010, whereas lake clarity in the south-central lake region (4.50&nbsp;m) has not changed since 1995. Climate change, timber harvesting, or watershed morphometry may be responsible for regional water-clarity decline. Remote sensing of regional water clarity provides a more complete spatial perspective of lake water quality than existing, interest-based sampling. However, field sampling done under existing monitoring programs can be used to calibrate accurate models designed to estimate water clarity remotely.</span></p>","language":"English","publisher":"The University of Chicago Press","doi":"10.1899/12-070.1","usgsCitation":"McCullough, I.M., Loftin, C., and Sader, S., 2013, Landsat imagery reveals declining clarity of Maine’s lakes during 1995-2010: Freshwater Science, v. 32, no. 3, p. 741-752, https://doi.org/10.1899/12-070.1.","productDescription":"12 p.","startPage":"741","endPage":"752","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1995-01-01","ipdsId":"IP-036854","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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