{"pageNumber":"373","pageRowStart":"9300","pageSize":"25","recordCount":68867,"records":[{"id":70191369,"text":"70191369 - 2017 - Domestic well locations and populations served in the contiguous U.S.: 1990","interactions":[],"lastModifiedDate":"2017-10-07T09:58:10","indexId":"70191369","displayToPublicDate":"2017-10-07T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Domestic well locations and populations served in the contiguous U.S.: 1990","docAbstract":"<div id=\"as0005\"><p id=\"sp0065\">We estimate the location and population served by domestic wells in the contiguous United States in two ways: (1) the “Block Group Method” or BGM, uses data from the 1990 census, and (2) the “Road-Enhanced Method” or REM, refines the locations by using a buffer expansion and shrinkage technique along roadways to define areas where domestic wells exist. The fundamental assumption is that houses (and therefore domestic wells) are located near a named road. The results are presented as two nationally-consistent domestic-well population datasets.</p><p id=\"sp3370\">While both methods can be considered valid, the REM map is more precise in locating domestic wells; the REM map has a smaller amount of spatial bias (Type 1 and Type 2 errors nearly equal vs biased in Type 1), total error (10.9% vs 23.7%), and distance error (2.0&nbsp;km vs 2.7&nbsp;km), when comparing the REM and BGM maps to a calibration map in California. However, the BGM map is more inclusive of all potential locations for domestic wells. Independent domestic well datasets from the USGS, and the States of MN, NV, and TX show that the BGM captures about 5 to 10% more wells than the REM.</p><p id=\"sp0070\">One key difference between the BGM and the REM is the mapping of low density areas. The REM reduces areas mapped as low density by 57%, concentrating populations into denser regions. Therefore, if one is trying to capture all of the potential areas of domestic-well usage, then the BGM map may be more applicable. If location is more imperative, then the REM map is better at identifying areas of the landscape with the highest probability of finding a domestic well. Depending on the purpose of a study, a combination of both maps can be used.</p></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.07.018","usgsCitation":"Johnson, T., and Belitz, K., 2017, Domestic well locations and populations served in the contiguous U.S.: 1990: Science of the Total Environment, v. 607-608, p. 658-668, https://doi.org/10.1016/j.scitotenv.2017.07.018.","productDescription":"11 p.","startPage":"658","endPage":"668","ipdsId":"IP-080948","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":469453,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2017.07.018","text":"Publisher Index Page"},{"id":438191,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7028PSX","text":"USGS data release","linkHelpText":"Location and population served by domestic wells in the conterminous U.S.: 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PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59defbb2e4b05fe04ccd3d3f","contributors":{"authors":[{"text":"Johnson, Tyler 0000-0002-7334-9188 tyjohns@usgs.gov","orcid":"https://orcid.org/0000-0002-7334-9188","contributorId":168524,"corporation":false,"usgs":true,"family":"Johnson","given":"Tyler","email":"tyjohns@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712119,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70188270,"text":"tm6B8 - 2017 - Documentation of the dynamic parameter, water-use, stream and lake flow routing, and two summary output modules and updates to surface-depression storage simulation and initial conditions specification options with the Precipitation-Runoff Modeling System (PRMS)","interactions":[],"lastModifiedDate":"2017-10-05T11:31:16","indexId":"tm6B8","displayToPublicDate":"2017-10-05T09:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-B8","title":"Documentation of the dynamic parameter, water-use, stream and lake flow routing, and two summary output modules and updates to surface-depression storage simulation and initial conditions specification options with the Precipitation-Runoff Modeling System (PRMS)","docAbstract":"This report documents seven enhancements to the U.S. Geological Survey (USGS) Precipitation-Runoff Modeling System (PRMS) hydrologic simulation code: two time-series input options, two new output options, and three updates of existing capabilities. The enhancements are (1) new dynamic parameter module, (2) new water-use module, (3) new Hydrologic Response Unit (HRU) summary output module, (4) new basin variables summary output module, (5) new stream and lake flow routing module, (6) update to surface-depression storage and flow simulation, and (7) update to the initial-conditions specification. This report relies heavily upon U.S. Geological Survey Techniques and Methods, book 6, chapter B7, which documents PRMS version 4 (PRMS-IV). A brief description of PRMS is included in this report.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section B: Surface water in Book 6: <i>Modeling techniques</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6B8","collaboration":"National Water Census, Water Availability and Use Science Program","usgsCitation":"Regan, R.S., and LaFontaine, J.H., 2017, Documentation of the dynamic parameter, water-use, stream and lake flow routing, and two summary output modules and updates to surface-depression storage simulation and initial conditions specification options with the Precipitation-Runoff Modeling System (PRMS): U.S. Geological Survey Techniques and Methods, book 6, chap. B8, 60 p., https://doi.org/10.3133/tm6B8.","productDescription":"Report: ix, 60 p.; Data Release","numberOfPages":"72","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-075744","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":346255,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7XG9PCF","text":"USGS data release","description":"USGS data release","linkHelpText":"Model Input and Output for Hydrologic Simulations of the Upper Chattahoochee River Basin that Demonstrate Enhancements to the Precipitation Runoff Modeling System"},{"id":346254,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/06/b8/tm6b8.pdf","text":"Report","size":"3.69 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 6-B8"},{"id":346253,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/06/b8/coverthb.jpg"}],"publicComments":"This report is Chapter 8 of Section B: Surface water in Book 6: <i>Modeling techniques</i>","contact":"<p>Director<br> U.S. Geological Survey, South Atlantic Water Science Center<br> 720 Gracern Road<br> Stephenson Center, Suite 129<br> Columbia, SC 29210<br> (803) 750-6100<br><a href=\"https://www.usgs.gov/centers/sa-water\" data-mce-href=\"https://www.usgs.gov/centers/sa-water\">https://www.usgs.gov/centers/sa-water</a><br data-mce-bogus=\"1\"></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Description of PRMS</li><li>Dynamic Parameter Input Option—Module dynamic_param_read</li><li>Water-Use Input Option—Module water_use_read</li><li>HRU Summary Output Option—Module nhru_summary</li><li>Basin Variables Summary Output Option—Module prms_summary</li><li>Stream and Lake Flow-Routing Option—Module muskingum_lake</li><li>Surface-Depression Storage Simulation Option</li><li>Initial-Conditions Specification Option</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Documentation of the Dynamic Parameter and Water-Use Input Options, Hydrologic Response Unit (HRU) and Basin Variables Summary Options, and Stream and Lake Flow-Routing, Surface-Depression Storage Simulation, and Initial-Conditions Specification Options</li><li>Appendix 2. PRMS Apalachicola-Chattahoochee-Flint River Basin Example Application to Demonstrate Use of Dynamic Parameters, Water-Use, Surface-Depression Storage, Streamflow With Lakes, NHRU Summary, and Initial-Conditions Capabilities</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2017-10-05","noUsgsAuthors":false,"publicationDate":"2017-10-05","publicationStatus":"PW","scienceBaseUri":"59d74499e4b05fe04cc7e2e4","contributors":{"authors":[{"text":"Regan, R. Steve 0000-0003-4803-8596 rsregan@usgs.gov","orcid":"https://orcid.org/0000-0003-4803-8596","contributorId":2633,"corporation":false,"usgs":true,"family":"Regan","given":"R.","email":"rsregan@usgs.gov","middleInitial":"Steve","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":697028,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaFontaine, Jacob H. 0000-0003-4923-2630 jlafonta@usgs.gov","orcid":"https://orcid.org/0000-0003-4923-2630","contributorId":2258,"corporation":false,"usgs":true,"family":"LaFontaine","given":"Jacob","email":"jlafonta@usgs.gov","middleInitial":"H.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":697027,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70190557,"text":"ds1063 - 2017 - Groundwater-quality data from the National Water-Quality Assessment Project, January through December 2014 and select quality-control data from May 2012 through December 2014","interactions":[],"lastModifiedDate":"2018-04-03T11:33:14","indexId":"ds1063","displayToPublicDate":"2017-10-05T09:00:00","publicationYear":"2017","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":"1063","title":"Groundwater-quality data from the National Water-Quality Assessment Project, January through December 2014 and select quality-control data from May 2012 through December 2014","docAbstract":"<p>Groundwater-quality data were collected from 559 wells as part of the National Water-Quality Assessment Project of the U.S. Geological Survey National Water-Quality Program from January through December 2014. The data were collected from four types of well networks: principal aquifer study networks, which are used to assess the quality of groundwater used for public water supply; land-use study networks, which are used to assess land-use effects on shallow groundwater quality; major aquifer study networks, which are used to assess the quality of groundwater used for domestic supply; and enhanced trends networks, which are used to evaluate the time scales during which groundwater quality changes. Groundwater samples were analyzed for a large number of water-quality indicators and constituents, including major ions, nutrients, trace elements, volatile organic compounds, pesticides, radionuclides, and some constituents of special interest (arsenic speciation, chromium [VI] and perchlorate). These groundwater-quality data, along with data from quality-control samples, are tabulated in this report and in an associated data release.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1063","collaboration":"National Water-Quality Assessment Project","usgsCitation":"Arnold, T.L., Bexfield, L.M., Musgrove, MaryLynn, Lindsey, B.D., Stackelberg, P.E., Barlow, J.R., DeSimone, L.A., Kulongoski, J.T., Kingsbury, J.A., Ayotte, J.D., Fleming, B.J., and Belitz, Kenneth, 2017, Groundwater-quality data from the National Water-Quality Assessment Project, January through December 2014 and select quality-control data from May 2012 through December 2014: U.S. Geological Survey Data Series 1063, 83 p., https://doi.org/10.3133/ds1063.","productDescription":"Report: viii, 83 p.; Data Release","numberOfPages":"96","onlineOnly":"Y","ipdsId":"IP-079602","costCenters":[{"id":451,"text":"National Water Quality Assessment 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880572,45.331467]]]]},\"properties\":{\"name\":\"Alabama\",\"nation\":\"USA  \"}}]}\n","contact":"<p>Director, Illinois Water Science Center<br> U.S. Geological Survey<br> 405 North Goodwin Avenue<br> Urbana, IL 61801-2347<br> <a href=\"https://il.water.usgs.gov/\" data-mce-href=\"https://il.water.usgs.gov/\">https://il.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Foreword<br></li><li>Abstract<br></li><li>Introduction<br></li><li>Purpose and Scope<br></li><li>Groundwater Study Design<br></li><li>Sample Collection and Analysis<br></li><li>Data Reporting<br></li><li>Quality-Assurance and Quality-Control Methods<br></li><li>Groundwater-Quality Data<br></li><li>Summary<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Appendix 1. Well Depth and Interval by Study Network<br></li><li>Appendix 2. High-Frequency Data from Enhanced Trends Network<br></li><li>Appendix 3. Analysis of Blank Samples for Possible Contamination Bias of Manganese and Cobalt<br></li><li>Appendix 4. Quality-Control Data and Anaysis<br></li></ul>","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2017-10-05","noUsgsAuthors":false,"publicationDate":"2017-10-05","publicationStatus":"PW","scienceBaseUri":"59d7449ae4b05fe04cc7e2ed","contributors":{"authors":[{"text":"Arnold, Terri 0000-0003-1406-6054 tlarnold@usgs.gov","orcid":"https://orcid.org/0000-0003-1406-6054","contributorId":1598,"corporation":false,"usgs":false,"family":"Arnold","given":"Terri","email":"tlarnold@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":false,"id":709788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bexfield, Laura M. 0000-0002-1789-654X bexfield@usgs.gov","orcid":"https://orcid.org/0000-0002-1789-654X","contributorId":1273,"corporation":false,"usgs":true,"family":"Bexfield","given":"Laura","email":"bexfield@usgs.gov","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":709789,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Musgrove, MaryLynn 0000-0003-1607-3864 mmusgrov@usgs.gov","orcid":"https://orcid.org/0000-0003-1607-3864","contributorId":1316,"corporation":false,"usgs":true,"family":"Musgrove","given":"MaryLynn","email":"mmusgrov@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":709790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lindsey, Bruce D. 0000-0002-7180-4319 blindsey@usgs.gov","orcid":"https://orcid.org/0000-0002-7180-4319","contributorId":138828,"corporation":false,"usgs":true,"family":"Lindsey","given":"Bruce D.","email":"blindsey@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":709791,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stackelberg, Paul E. 0000-0002-1818-355X pestack@usgs.gov","orcid":"https://orcid.org/0000-0002-1818-355X","contributorId":1069,"corporation":false,"usgs":true,"family":"Stackelberg","given":"Paul","email":"pestack@usgs.gov","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":709792,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barlow, Jeannie R. B. 0000-0002-0799-4656 jbarlow@usgs.gov","orcid":"https://orcid.org/0000-0002-0799-4656","contributorId":3701,"corporation":false,"usgs":true,"family":"Barlow","given":"Jeannie","email":"jbarlow@usgs.gov","middleInitial":"R. B.","affiliations":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":709793,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DeSimone, Leslie A. 0000-0003-0774-9607 ldesimon@usgs.gov","orcid":"https://orcid.org/0000-0003-0774-9607","contributorId":195635,"corporation":false,"usgs":true,"family":"DeSimone","given":"Leslie","email":"ldesimon@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":709794,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154 kulongos@usgs.gov","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":919,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin T.","email":"kulongos@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":709795,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kingsbury, James A. 0000-0003-4985-275X jakingsb@usgs.gov","orcid":"https://orcid.org/0000-0003-4985-275X","contributorId":883,"corporation":false,"usgs":true,"family":"Kingsbury","given":"James","email":"jakingsb@usgs.gov","middleInitial":"A.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":709796,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ayotte, Joseph D. jayotte@usgs.gov","contributorId":1802,"corporation":false,"usgs":true,"family":"Ayotte","given":"Joseph D.","email":"jayotte@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":709797,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Fleming, Brandon J. 0000-0001-9649-7485 bjflemin@usgs.gov","orcid":"https://orcid.org/0000-0001-9649-7485","contributorId":4115,"corporation":false,"usgs":true,"family":"Fleming","given":"Brandon","email":"bjflemin@usgs.gov","middleInitial":"J.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":709798,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":709799,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70191344,"text":"70191344 - 2017 - Spatial early warning signals in a lake manipulation","interactions":[],"lastModifiedDate":"2017-12-19T09:38:09","indexId":"70191344","displayToPublicDate":"2017-10-05T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Spatial early warning signals in a lake manipulation","docAbstract":"<p><span>Rapid changes in state have been documented for many of Earth's ecosystems. Despite a growing toolbox of methods for detecting declining resilience or early warning indicators (EWIs) of ecosystem transitions, these methods have rarely been evaluated in whole-ecosystem trials using reference ecosystems. In this study, we experimentally tested EWIs of cyanobacteria blooms based on changes in the spatial structure of a lake. We induced a cyanobacteria bloom by adding nutrients to an experimental lake and mapped fine-resolution spatial patterning of cyanobacteria using a mobile sensor platform. Prior to the bloom, we detected theoretically predicted spatial EWIs based on variance and spatial autocorrelation, as well as a new index based on the extreme values. Changes in EWIs were not discernible in an unenriched reference lake. Despite the fluid environment of a lake where spatial heterogeneity driven by biological processes may be overwhelmed by physical mixing, spatial EWIs detected an approaching bloom suggesting the utility of spatial metrics for signaling ecological thresholds.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1941","usgsCitation":"Butitta, V.L., Carpenter, S.R., Loken, L.C., Pace, M.L., and Stanley, E.H., 2017, Spatial early warning signals in a lake manipulation: Ecosphere, v. 8, no. 5, p. 1-11, https://doi.org/10.1002/ecs2.1941.","productDescription":"e01941; 11 p.","startPage":"1","endPage":"11","ipdsId":"IP-084890","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":469456,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1941","text":"Publisher Index Page"},{"id":346434,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-02","publicationStatus":"PW","scienceBaseUri":"59d7449ce4b05fe04cc7e2fc","contributors":{"authors":[{"text":"Butitta, Vince L. 0000-0001-7569-4770","orcid":"https://orcid.org/0000-0001-7569-4770","contributorId":196947,"corporation":false,"usgs":false,"family":"Butitta","given":"Vince","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":712019,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carpenter, Stephen R. 0000-0001-8097-8700","orcid":"https://orcid.org/0000-0001-8097-8700","contributorId":196945,"corporation":false,"usgs":false,"family":"Carpenter","given":"Stephen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":712017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loken, Luke C. 0000-0003-3194-1498 lloken@usgs.gov","orcid":"https://orcid.org/0000-0003-3194-1498","contributorId":195600,"corporation":false,"usgs":true,"family":"Loken","given":"Luke","email":"lloken@usgs.gov","middleInitial":"C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712015,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pace, Michael L. 0000-0001-5945-6131","orcid":"https://orcid.org/0000-0001-5945-6131","contributorId":196946,"corporation":false,"usgs":false,"family":"Pace","given":"Michael","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":712018,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stanley, Emily H.","contributorId":55725,"corporation":false,"usgs":false,"family":"Stanley","given":"Emily","email":"","middleInitial":"H.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":712016,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70191346,"text":"70191346 - 2017 - Ice duration drives winter nitrate accumulation in north temperate lakes","interactions":[],"lastModifiedDate":"2017-10-26T09:46:08","indexId":"70191346","displayToPublicDate":"2017-10-05T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5456,"text":"Limnology and Oceanography Letters","active":true,"publicationSubtype":{"id":10}},"title":"Ice duration drives winter nitrate accumulation in north temperate lakes","docAbstract":"<p><span>The duration of winter ice cover on lakes varies substantially with climate variability, and has decreased over the last several decades in many temperate lakes. However, little is known of how changes in seasonal ice cover may affect biogeochemical processes under ice. We examined winter nitrogen (N) dynamics under ice using a 30+ yr dataset from five oligotrophic/mesotrophic north temperate lakes to determine how changes in inorganic N species varied with ice duration. Nitrate accumulated during winter and was strongly related to the number of days since ice-on. Exogenous inputs accounted for less than 3% of nitrate accumulation in four of the five lakes, suggesting a paramount role of nitrification in regulating N transformation and the timing of chemical conditions under ice. Winter nitrate accumulation rates ranged from 0.15&nbsp;</span><i>μ</i><span>g N L</span><sup>−1</sup><span><span>&nbsp;</span>d</span><sup>−1</sup><span><span>&nbsp;</span>to 2.7<span>&nbsp;</span></span><i>μ</i><span>g N L</span><sup>−1</sup><span><span>&nbsp;</span>d</span><sup>−1</sup><span><span>&nbsp;</span>(0.011–0.19<span>&nbsp;</span></span><i>μ</i><span>M d</span><sup>−1</sup><span>), and the mean for intermediate depths was 0.94<span>&nbsp;</span></span><i>μ</i><span>g N L</span><sup>−1</sup><span><span>&nbsp;</span>d</span><sup>−1</sup><span>(0.067<span>&nbsp;</span></span><i>μ</i><span>M d</span><sup>−1</sup><span>). Given that winters with shorter ice duration (&lt; 120 d) have become more frequent in these lakes since the late 1990s, peak winter nitrate concentrations and cumulative nitrate production under ice may be declining. As ice extent and duration change, the physical and chemical conditions supporting life will shift. This research suggests we may expect changes in the form and amount of inorganic N, and altered dissolved nitrogen&nbsp;:&nbsp;phosphorus ratios, in lakes during winters with shorter ice duration.</span></p>","language":"English","publisher":"ASLO","doi":"10.1002/lol2.10048","usgsCitation":"Powers, S.M., Labou, S.G., Baulch, H.M., Hunt, R.J., Lottig, N.R., Hampton, S.E., and Stanley, E.H., 2017, Ice duration drives winter nitrate accumulation in north temperate lakes: Limnology and Oceanography Letters, v. 2, no. 5, p. 177-186, https://doi.org/10.1002/lol2.10048.","productDescription":"12 p.","startPage":"177","endPage":"186","ipdsId":"IP-082184","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":469455,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lol2.10048","text":"Publisher Index Page"},{"id":346432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-13","publicationStatus":"PW","scienceBaseUri":"59d7449ce4b05fe04cc7e2f8","contributors":{"authors":[{"text":"Powers, Steven M","contributorId":196949,"corporation":false,"usgs":false,"family":"Powers","given":"Steven","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":712024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Labou, Stephanie G.","contributorId":194571,"corporation":false,"usgs":false,"family":"Labou","given":"Stephanie","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":712025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baulch, Helen M.","contributorId":194573,"corporation":false,"usgs":false,"family":"Baulch","given":"Helen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":712026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712023,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lottig, Noah R.","contributorId":172031,"corporation":false,"usgs":false,"family":"Lottig","given":"Noah","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":712027,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hampton, Stephanie E.","contributorId":178718,"corporation":false,"usgs":false,"family":"Hampton","given":"Stephanie","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":712028,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stanley, Emily H.","contributorId":55725,"corporation":false,"usgs":false,"family":"Stanley","given":"Emily","email":"","middleInitial":"H.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":712029,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70190780,"text":"ofr20171114 - 2017 - User’s Manual for the National Water Information System of the U.S. Geological Survey: Aggregate Water-Use Data System, Version 3.2","interactions":[],"lastModifiedDate":"2017-10-10T11:40:29","indexId":"ofr20171114","displayToPublicDate":"2017-10-04T03:00:00","publicationYear":"2017","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":"2017-1114","title":"User’s Manual for the National Water Information System of the U.S. Geological Survey: Aggregate Water-Use Data System, Version 3.2","docAbstract":"<p><span>The Aggregate Water-Use Data System (AWUDS) is the database management system used to enter, store, and analyze state aggregate water-use data. It is part of the U.S. Geological Survey National Water Information System. AWUDS has a graphical user interface that facilitates data entry, revision, review, and approval. This document provides information on the basic functions of AWUDS and the steps for carrying out common tasks that are a part of compiling an aggregated dataset. Also included are explanations of terminology and descriptions of user-interface structure, procedures for using the AWUDS operations, and dataset-naming conventions. Information on water-use category definitions, data-collection methods, and data sources are found in the report “Guidelines for preparation of State water-use estimates,” available at&nbsp;</span><a href=\"../publication/ofr20171029\" target=\"_blank\" data-mce-href=\"../publication/ofr20171029\">https://pubs.er.usgs.gov/publication/ofr20171029</a><span>.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171114","usgsCitation":"Nawyn, J.P., Sargent, B.P., Hoopes, B.C., Augenstein, T.W., Rowland, K.M., and Barber, N.L., 2017, User’s Manual for the National Water Information System of the U.S. Geological Survey: Aggregate Water-Use Data System, Version 3.2: U.S. Geological Survey Open-File Report 2017–1114, 29 p., https://doi.org/10.3133/ofr20171114.","productDescription":"iv, 29 p.","numberOfPages":"38","onlineOnly":"Y","ipdsId":"IP-088071","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":346324,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1114/coverthb.jpg"},{"id":346325,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1114/ofr20171114.pdf","text":"Report","size":".99 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1114"}],"contact":"<p><a href=\"mailto:dc_nj@usgs.gov\" data-mce-href=\"mailto:dc_nj@usgs.gov\">Director</a>, New Jersey Water Science Center<br> U.S. Geological Survey<br> 3450 Princeton Pike, Suite 110<br> Lawrenceville, NJ 08648<br> or visit our website <br> <a href=\"https://nj.usgs.gov/\" target=\"_blank\" data-mce-href=\"https://nj.usgs.gov/\">https://nj.usgs.gov</a></p>","tableOfContents":"<ul><li>Abstract</li><li>1 Introduction</li><li>2 AWUDS Basics</li><li>3 AWUDS Operations</li><li>4 How-To For Selected AWUDS Tasks</li><li>5 AWUDS and NWISWeb</li><li>6 NWULT User Functions</li><li>Reference Cited</li><li>Glossary</li><li>Appendix 1. Water-Use Category Abbreviations Used in AWUDS</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2017-10-06","noUsgsAuthors":false,"publicationDate":"2017-10-06","publicationStatus":"PW","scienceBaseUri":"59dddc0ae4b05fe04ccd05ce","contributors":{"authors":[{"text":"Nawyn, John P. 0000-0002-9918-8394 jnawyn@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-8394","contributorId":4308,"corporation":false,"usgs":true,"family":"Nawyn","given":"John","email":"jnawyn@usgs.gov","middleInitial":"P.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sargent, B. Pierre 0000-0002-3967-9036 psargent@usgs.gov","orcid":"https://orcid.org/0000-0002-3967-9036","contributorId":1228,"corporation":false,"usgs":true,"family":"Sargent","given":"B.","email":"psargent@usgs.gov","middleInitial":"Pierre","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710369,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoopes, Barbara 0000-0002-4957-0608 bhoopes@usgs.gov","orcid":"https://orcid.org/0000-0002-4957-0608","contributorId":196453,"corporation":false,"usgs":true,"family":"Hoopes","given":"Barbara","email":"bhoopes@usgs.gov","affiliations":[],"preferred":true,"id":710373,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Augenstein, Todd 0000-0003-1418-1765 twaugens@usgs.gov","orcid":"https://orcid.org/0000-0003-1418-1765","contributorId":196452,"corporation":false,"usgs":true,"family":"Augenstein","given":"Todd","email":"twaugens@usgs.gov","affiliations":[],"preferred":true,"id":710371,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rowland, Kathleen M. 0000-0003-2526-6860 krowland@usgs.gov","orcid":"https://orcid.org/0000-0003-2526-6860","contributorId":1676,"corporation":false,"usgs":true,"family":"Rowland","given":"Kathleen","email":"krowland@usgs.gov","middleInitial":"M.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710372,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barber, Nancy L. 0000-0002-2952-5017 nlbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-2952-5017","contributorId":3679,"corporation":false,"usgs":true,"family":"Barber","given":"Nancy","email":"nlbarber@usgs.gov","middleInitial":"L.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710370,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70191324,"text":"70191324 - 2017 - A comparison of three federal datasets for thermoelectric water withdrawals in the United States for 2010","interactions":[],"lastModifiedDate":"2017-10-04T11:08:52","indexId":"70191324","displayToPublicDate":"2017-10-04T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of three federal datasets for thermoelectric water withdrawals in the United States for 2010","docAbstract":"<p><span>Historically, thermoelectric water withdrawal has been estimated by the Energy Information Administration (EIA) and the U.S. Geological Survey's (USGS) water-use compilations. Recently, the USGS developed models for estimating withdrawal at thermoelectric plants to provide estimates independent from plant operator-reported withdrawal data. This article compares three federal datasets of thermoelectric withdrawals for the United States in 2010: one based on the USGS water-use compilation, another based on EIA data, and the third based on USGS model-estimated data. The withdrawal data varied widely. Many plants had three different withdrawal values, and for approximately 54% of the plants the largest withdrawal value was twice the smallest, or larger. The causes of discrepancies among withdrawal estimates included definitional differences, definitional noise, and various nondefinitional causes. The uncertainty in national totals can be characterized by the range among the three datasets, from 5,640&nbsp;m</span><sup>3</sup><span>/s (129&nbsp;billion gallons per day [bgd]) to 6,954&nbsp;m</span><sup>3</sup><span>/s (158&nbsp;bgd), or by the aggregate difference between the smallest and largest values at each plant, from 4,014&nbsp;m</span><sup>3</sup><span>/s (92&nbsp;bgd) to 8,590&nbsp;m</span><sup>3</sup><span>/s (196&nbsp;bgd). When used to assess the accuracy of reported values, the USGS model estimates identify plants that need to be reviewed.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12551","usgsCitation":"Harris, M.A., and Diehl, T.H., 2017, A comparison of three federal datasets for thermoelectric water withdrawals in the United States for 2010: Journal of the American Water Resources Association, v. 53, no. 5, p. 1062-1080, https://doi.org/10.1111/1752-1688.12551.","productDescription":"19 p.","startPage":"1062","endPage":"1080","ipdsId":"IP-072613","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":469458,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.12551","text":"Publisher Index Page"},{"id":438193,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7HX19VW","text":"USGS data release","linkHelpText":"Thermoelectric power plant water withdrawals and associated attributes for three Federal datasets in the United States, 2010"},{"id":346380,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"5","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-09","publicationStatus":"PW","scienceBaseUri":"59d5f344e4b05fe04cc652c1","contributors":{"authors":[{"text":"Harris, Melissa A. 0000-0003-2659-9763 mharris@usgs.gov","orcid":"https://orcid.org/0000-0003-2659-9763","contributorId":1903,"corporation":false,"usgs":true,"family":"Harris","given":"Melissa","email":"mharris@usgs.gov","middleInitial":"A.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diehl, Timothy H. 0000-0001-9691-2212 thdiehl@usgs.gov","orcid":"https://orcid.org/0000-0001-9691-2212","contributorId":546,"corporation":false,"usgs":true,"family":"Diehl","given":"Timothy","email":"thdiehl@usgs.gov","middleInitial":"H.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711925,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70191322,"text":"70191322 - 2017 - Forecasting the probability of future groundwater levels declining below specified low thresholds in the conterminous U.S.","interactions":[],"lastModifiedDate":"2017-12-11T13:37:05","indexId":"70191322","displayToPublicDate":"2017-10-04T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting the probability of future groundwater levels declining below specified low thresholds in the conterminous U.S.","docAbstract":"<p><span>We present a logistic regression approach for forecasting the probability of future groundwater levels declining or maintaining below specific groundwater-level thresholds. We tested our approach on 102 groundwater wells in different climatic regions and aquifers of the United States that are part of the U.S. Geological Survey Groundwater Climate Response Network. We evaluated the importance of current groundwater levels, precipitation, streamflow, seasonal variability, Palmer Drought Severity Index, and atmosphere/ocean indices for developing the logistic regression equations. Several diagnostics of model fit were used to evaluate the regression equations, including testing of autocorrelation of residuals, goodness-of-fit metrics, and bootstrap validation testing. The probabilistic predictions were most successful at wells with high persistence (low month-to-month variability) in their groundwater records and at wells where the groundwater level remained below the defined low threshold for sustained periods (generally three months or longer). The model fit was weakest at wells with strong seasonal variability in levels and with shorter duration low-threshold events. We identified challenges in deriving probabilistic-forecasting models and possible approaches for addressing those challenges.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12582","usgsCitation":"Dudley, R.W., Hodgkins, G.A., and Dickinson, J.E., 2017, Forecasting the probability of future groundwater levels declining below specified low thresholds in the conterminous U.S.: Journal of the American Water Resources Association, v. 53, no. 6, p. 1424-1436, https://doi.org/10.1111/1752-1688.12582.","productDescription":"13 p.","startPage":"1424","endPage":"1436","ipdsId":"IP-071588","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":346381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"6","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-21","publicationStatus":"PW","scienceBaseUri":"59d5f344e4b05fe04cc652c7","contributors":{"authors":[{"text":"Dudley, Robert W. 0000-0002-0934-0568 rwdudley@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":2223,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert","email":"rwdudley@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hodgkins, Glenn A. 0000-0002-4916-5565 gahodgki@usgs.gov","orcid":"https://orcid.org/0000-0002-4916-5565","contributorId":2020,"corporation":false,"usgs":true,"family":"Hodgkins","given":"Glenn","email":"gahodgki@usgs.gov","middleInitial":"A.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dickinson, Jesse E. 0000-0002-0048-0839 jdickins@usgs.gov","orcid":"https://orcid.org/0000-0002-0048-0839","contributorId":152545,"corporation":false,"usgs":true,"family":"Dickinson","given":"Jesse","email":"jdickins@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711920,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191326,"text":"70191326 - 2017 - Short-term and long-term evapotranspiration rates at ecological restoration sites along a large river receiving rare flow events","interactions":[],"lastModifiedDate":"2017-11-29T16:28:13","indexId":"70191326","displayToPublicDate":"2017-10-04T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Short-term and long-term evapotranspiration rates at ecological restoration sites along a large river receiving rare flow events","docAbstract":"<p><span>Many large rivers around the world no longer flow to their deltas, due to ever greater water withdrawals and diversions for human needs. However, the importance of riparian ecosystems is drawing increasing recognition, leading to the allocation of environmental flows to restore river processes. Accurate estimates of riparian plant evapotranspiration (ET) are needed to understand how the riverine system responds to these rare events and achieve the goals of environmental flows. In 2014, historic environmental flows were released into the Lower Colorado River at Morelos Dam (Mexico); this once perennial but now dry reach is the final stretch to the mighty Colorado River Delta. One of the primary goals was to supply native vegetation restoration sites along the reach with water to help seedlings establish and boost groundwater levels to foster the planted saplings. Patterns in ET before, during, and after the flows are useful for evaluating whether this goal was met and understanding the role that ET plays in this now ephemeral river system. Here, diurnal fluctuations in groundwater levels and MODIS data were used to compare estimates of ET specifically at three native vegetation restoration sites during 2014 planned flow events, while MODIS data was used to evaluate long-term (2002 – 2016) ET responses to restoration efforts at these sites. Overall, ET was generally 0 - 10 mm d</span><sup>-1</sup><span><span>&nbsp;</span>across sites and although daily ET values from groundwater data were highly variable, weekly averaged estimates were highly correlated with MODIS-derived estimates at most sites. The influence of the 2014 flow events was not immediately apparent in the results, although the process of clearing vegetation and planting native vegetation at the restoration sites was clearly visible in the results.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.11359","usgsCitation":"Shanafield, M., Jurado, H.G., Burgueno, J.E., Hernandez, J.R., Jarchow, C., and Nagler, P.L., 2017, Short-term and long-term evapotranspiration rates at ecological restoration sites along a large river receiving rare flow events: Hydrological Processes, v. 31, no. 24, p. 4328-4337, https://doi.org/10.1002/hyp.11359.","productDescription":"10 p.","startPage":"4328","endPage":"4337","ipdsId":"IP-068603","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":469457,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.11359","text":"Publisher Index Page"},{"id":346385,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","otherGeospatial":"Colorado River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.08453369140625,\n              32.217448573031014\n            ],\n            [\n              -114.63821411132812,\n              32.217448573031014\n            ],\n            [\n              -114.63821411132812,\n              32.751477587458865\n            ],\n            [\n              -115.08453369140625,\n              32.751477587458865\n            ],\n            [\n              -115.08453369140625,\n              32.217448573031014\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"31","issue":"24","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-17","publicationStatus":"PW","scienceBaseUri":"59d5f342e4b05fe04cc652b8","contributors":{"authors":[{"text":"Shanafield, Margaret","contributorId":196916,"corporation":false,"usgs":false,"family":"Shanafield","given":"Margaret","email":"","affiliations":[],"preferred":false,"id":711930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jurado, Hugo Gutierrez","contributorId":196917,"corporation":false,"usgs":false,"family":"Jurado","given":"Hugo","email":"","middleInitial":"Gutierrez","affiliations":[],"preferred":false,"id":711931,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burgueno, Jesus Eliana Rodriguez","contributorId":196918,"corporation":false,"usgs":false,"family":"Burgueno","given":"Jesus","email":"","middleInitial":"Eliana Rodriguez","affiliations":[],"preferred":false,"id":711932,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hernandez, Jorge Ramirez","contributorId":196919,"corporation":false,"usgs":false,"family":"Hernandez","given":"Jorge","email":"","middleInitial":"Ramirez","affiliations":[],"preferred":false,"id":711933,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jarchow, Christopher 0000-0002-0424-4104 cjarchow@usgs.gov","orcid":"https://orcid.org/0000-0002-0424-4104","contributorId":196069,"corporation":false,"usgs":true,"family":"Jarchow","given":"Christopher","email":"cjarchow@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":711928,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":711927,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70191285,"text":"70191285 - 2017 - Science advancements key to increasing management value of life stage monitoring networks for endangered Sacramento River winter-run Chinook salmon in California","interactions":[],"lastModifiedDate":"2017-10-03T14:20:42","indexId":"70191285","displayToPublicDate":"2017-10-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Science advancements key to increasing management value of life stage monitoring networks for endangered Sacramento River winter-run Chinook salmon in California","docAbstract":"<p>A robust monitoring network that provides quantitative information about the status of imperiled species at key life stages and geographic locations over time is fundamental for sustainable management of fisheries resources. For anadromous species, management actions in one geographic domain can substantially affect abundance of subsequent life stages that span broad geographic regions. Quantitative metrics (e.g., abundance, movement, survival, life history diversity, and condition) at multiple life stages are needed to inform how management actions (e.g., hatcheries, harvest, hydrology, and habitat restoration) influence salmon population dynamics. The existing monitoring network for endangered Sacramento River winterrun Chinook Salmon (SRWRC, Oncorhynchus tshawytscha) in California’s Central Valley was compared to conceptual models developed for each life stage and geographic region of the life cycle to identify relevant SRWRC metrics. We concluded that the current monitoring network was insufficient to diagnose when (life stage) and where (geographic domain) chronic or episodic reductions in SRWRC cohorts occur, precluding within- and among-year comparisons. The strongest quantitative data exist in the Upper Sacramento River, where abundance estimates are generated for adult spawners and emigrating juveniles. However, once SRWRC leave the upper river, our knowledge of their identity,&nbsp;abundance, and condition diminishes, despite the juvenile monitoring enterprise. We identified six system-wide recommended actions to strengthen the value of data generated from the existing monitoring network to assess resource management actions: (1) incorporate genetic run identification; (2) develop juvenile abundance estimates; (3) collect data for life history diversity metrics at multiple life stages; (4) expand and enhance real-time fish survival and movement monitoring; (5) collect fish condition data; and (6) provide timely public access to monitoring data in open data formats. To illustrate how updated technologies can enhance the existing monitoring to provide quantitative data on SRWRC, we provide examples of how each recommendation can address specific management issues.</p>","language":"English","publisher":"Delta Science Program and the UC Davis John Muir Instutute of the Environment","doi":"10.15447/sfews.2017v15iss3art1","usgsCitation":"Johnson, R.C., Windell, S., Brandes, P.L., Conrad, J.L., Ferguson, J., Goertler, P.A., Harvey, B.N., Heublein, J., Isreal, J.A., Kratville, D.W., Kirsch, J.E., Perry, R.W., Pisciotto, J., Poytress, W.R., Reece, K., and Swart, B.G., 2017, Science advancements key to increasing management value of life stage monitoring networks for endangered Sacramento River winter-run Chinook salmon in California: San Francisco Estuary and Watershed Science, v. 15, no. 3, p. 1-41, https://doi.org/10.15447/sfews.2017v15iss3art1.","productDescription":"Article 1; 41 p.","startPage":"1","endPage":"41","ipdsId":"IP-076305","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":469459,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2017v15iss3art1","text":"Publisher Index Page"},{"id":346362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.6019287109375,\n              37.400710068740565\n            ],\n            [\n              -121.39343261718749,\n              37.400710068740565\n            ],\n            [\n              -121.39343261718749,\n              40.643135583312805\n            ],\n            [\n              -122.6019287109375,\n              40.643135583312805\n            ],\n            [\n              -122.6019287109375,\n              37.400710068740565\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"15","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-27","publicationStatus":"PW","scienceBaseUri":"59d4a1a2e4b05fe04cc4e0d6","contributors":{"authors":[{"text":"Johnson, Rachel C.","contributorId":196877,"corporation":false,"usgs":false,"family":"Johnson","given":"Rachel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":711845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Windell, Sean","contributorId":196878,"corporation":false,"usgs":false,"family":"Windell","given":"Sean","email":"","affiliations":[],"preferred":false,"id":711846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brandes, Patricia L.","contributorId":196879,"corporation":false,"usgs":false,"family":"Brandes","given":"Patricia","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":711847,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conrad, J. Louise","contributorId":196880,"corporation":false,"usgs":false,"family":"Conrad","given":"J.","email":"","middleInitial":"Louise","affiliations":[],"preferred":false,"id":711848,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ferguson, John","contributorId":196881,"corporation":false,"usgs":false,"family":"Ferguson","given":"John","affiliations":[],"preferred":false,"id":711849,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goertler, Pascale A. L.","contributorId":196882,"corporation":false,"usgs":false,"family":"Goertler","given":"Pascale","email":"","middleInitial":"A. 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,{"id":70191273,"text":"70191273 - 2017 - Projected atoll shoreline and run-up changes in response to sea-level rise and varying large wave conditions at Wake and Midway Atolls, Northwestern Hawaiian Islands","interactions":[],"lastModifiedDate":"2017-10-03T09:57:18","indexId":"70191273","displayToPublicDate":"2017-10-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Projected atoll shoreline and run-up changes in response to sea-level rise and varying large wave conditions at Wake and Midway Atolls, Northwestern Hawaiian Islands","docAbstract":"<p><span>Atoll islands are dynamic features that respond to seasonal alterations in wave conditions and sea level. It is unclear how shoreline wave run-up and erosion patterns along these low elevation islands will respond to projected sea-level rise (SLR) and changes in wave climate over the next century, hindering communities' preparation for the future. To elucidate how these processes may respond to climate change, extreme boreal winter and summer wave conditions under future sea-level rise (SLR) and wave climate scenarios were simulated at two atolls, Wake and Midway, using a shallow-water hydrodynamic model. Nearshore wave conditions were used to compute the potential longshore sediment flux along island shorelines via the CERC empirical formula and wave-driven erosion was calculated as the divergence of the longshore drift; run-up and the locations where the run-up exceed the berm elevation were also determined. SLR is projected to predominantly drive future island morphological change and flooding. Seaward shorelines (i.e., ocean fronted shorelines directly facing incident wave energy) were projected to experience greater erosion and flooding with SLR and in hypothetical scenarios where changes to deep water wave directions were altered, as informed by previous climate change forced Pacific wave modeling efforts. These changes caused nearshore waves to become more shore-normal, increasing wave attack along previously protected shorelines. With SLR, leeward shorelines (i.e., an ocean facing shoreline but sheltered from incident wave energy) became more accretive on windward islands and marginally more erosive along leeward islands. These shorelines became more accretionary and subject to more flooding with nearshore waves becoming more shore-normal. Lagoon shorelines demonstrated the greatest SLR-driven increase in erosion and run-up. They exhibited the greatest relative change with increasing wave heights where both erosion and run-up magnitudes increased. Wider reef flat-fronted seaward shorelines became more accretive as all oceanographic forcing parameters increased in magnitude and exhibited large run-up increases following increasing wave heights. Island end shorelines became subject to increased flooding, erosion at Wake, and accretion at Midway with SLR. Under future conditions, windward and leeward islands are projected to become thinner as ocean facing and lagoonal shorelines erode, with leeward islands becoming more elongate. Island shorelines will change dramatically over the next century as SLR and altered wave climates drive new erosional regimes. It is vital to the sustainability of island communities that the relative magnitudes of these effects are addressed when planning for projected future climates.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2017.08.002","usgsCitation":"Shope, J.B., Storlazzi, C.D., and Hoeke, R., 2017, Projected atoll shoreline and run-up changes in response to sea-level rise and varying large wave conditions at Wake and Midway Atolls, Northwestern Hawaiian Islands: Geomorphology, v. 295, p. 537-550, https://doi.org/10.1016/j.geomorph.2017.08.002.","productDescription":"14 p.","startPage":"537","endPage":"550","ipdsId":"IP-079684","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469460,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2017.08.002","text":"Publisher Index Page"},{"id":346343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Midway Atoll, Wake Atoll","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              166.59135818481445,\n              19.267720754724763\n            ],\n            [\n              166.66070938110352,\n              19.267720754724763\n            ],\n            [\n              166.66070938110352,\n              19.32232118910101\n            ],\n            [\n              166.59135818481445,\n              19.32232118910101\n            ],\n            [\n              166.59135818481445,\n              19.267720754724763\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -177.41306304931638,\n              28.183704473332227\n            ],\n            [\n              -177.31590270996094,\n              28.183704473332227\n            ],\n            [\n              -177.31590270996094,\n              28.22727253361662\n            ],\n            [\n              -177.41306304931638,\n              28.22727253361662\n            ],\n            [\n              -177.41306304931638,\n              28.183704473332227\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"295","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d4a1a3e4b05fe04cc4e0de","contributors":{"authors":[{"text":"Shope, James B.","contributorId":135949,"corporation":false,"usgs":false,"family":"Shope","given":"James","email":"","middleInitial":"B.","affiliations":[{"id":10653,"text":"University of California at Santa Cruz, Earth and Planetary Science Department","active":true,"usgs":false}],"preferred":false,"id":711812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":711811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoeke, Ron 0000-0003-0576-9436","orcid":"https://orcid.org/0000-0003-0576-9436","contributorId":196862,"corporation":false,"usgs":false,"family":"Hoeke","given":"Ron","email":"","affiliations":[],"preferred":false,"id":711813,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189003,"text":"fs20173050 - 2017 - Assessment of undiscovered oil and gas resources in the Ventura Basin Province, California, 2016","interactions":[],"lastModifiedDate":"2018-02-15T14:56:46","indexId":"fs20173050","displayToPublicDate":"2017-10-02T15:20:00","publicationYear":"2017","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":"2017-3050","title":"Assessment of undiscovered oil and gas resources in the Ventura Basin Province, California, 2016","docAbstract":"<p>The U.S. Geological Survey (USGS) completed a geology-based assessment of undiscovered, technically recoverable conventional and continuous oil and gas resources in the part of the Ventura Basin Province that lies onshore or within State waters (within 3 miles of the shoreline) of California (fig. 1). Conventional oil and gas resources are those that have migrated upward into structural or stratigraphic traps from deep zones where the oil and gas is generated; water is present below the oil or gas. Continuous accumulations, in contrast, are those in which oil or gas is pervasively present in essentially all wells that penetrate them, that may not be structurally or stratigraphically trapped, and that typically lack oil-water or gas-water contacts. They are commonly produced with well-stimulation technology, such as hydraulic fracturing, referred to as “unconventional.” The same stimulation technology, however, is also used in many conventionally trapped accumulations. We estimated both the likely range of oil and gas volumes remaining to be discovered in accumulations similar to existing conventional oil and gas fields in the Ventura Basin Province (previously assessed by Keller [1995] as 1,060 million barrels of oil [MMBO], 1,900 billion cubic feet of gas [BCFG], and 60 million barrels of natural gas liquids [MMBNGL]), and the potential for oil and gas that might be present in a continuous accumulation at extreme depth in the floor of the basin.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173050","usgsCitation":"Tennyson, M.E., Schenk, C.J., Pitman, J.K., Lillis, P.G., Klett, T.R., Brownfield, M.E., Finn, T.M., Gaswirth, S.B., Hawkins, S.J., Marra, K.R., Mercier, T.J., Le, P.A., and Leathers-Miller, H.M., 2017, Assessment of undiscovered oil and gas resources in the Ventura Basin Province, California, 2016: U.S. Geological Survey Fact Sheet 2017–3050, 2 p., 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tmercier@usgs.gov","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":2847,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey","email":"tmercier@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":711586,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Le, Phuong A. 0000-0003-2477-509X ple@usgs.gov","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":146384,"corporation":false,"usgs":true,"family":"Le","given":"Phuong","email":"ple@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":711587,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906 hleathers@usgs.gov","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":149262,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi","email":"hleathers@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":711588,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70189421,"text":"ds1057 - 2017 - Water-quality data from an earthen dam site in southern Westchester County, New York, 2015","interactions":[],"lastModifiedDate":"2017-10-12T10:00:51","indexId":"ds1057","displayToPublicDate":"2017-10-02T15:00:00","publicationYear":"2017","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":"1057","title":"Water-quality data from an earthen dam site in southern Westchester County, New York, 2015","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the New York City Department of Environmental Protection, sampled 37 sites in the reservoir area for nutrients, major ions, metals, pesticides and their degradates, volatile organic compounds, temperature, pH, and specific conductance during fall 2015. Data collection was done to characterize the local groundwater-flow system and identify potential sources of seeps from the southern embankment at the Hillview Reservoir. Water-quality samples were collected in accordance with standard U.S. Geological Survey methods at 37 sites in and adjacent to Hillview Reservoir. These 37 sites were sampled to determine (1) baseline water-quality conditions of the saturated, low-permeability sediments that compose the earthen embankment that surrounds the reservoir, (2) water-quality conditions in the southwestern part of the study area in relation to the seeps on the embankment, and (3) temporal variation of water-quality conditions between 2006 and 2015 (not included in this report). The physical parameters and the results of the water-quality analysis from the 37 sites are included in this report and can be downloaded from the U.S. Geological Survey National Water Information System website.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1057","issn":"2327-0271","isbn":"978-1-4113-4179-1","collaboration":" Prepared in cooperation with the New York City Department of Environmental Protection","usgsCitation":"Chu, Anthony, and Noll, M.L., 2017, Water-quality data from an earthen dam site in southern Westchester County, New York, 2015: U.S. Geological Survey Data Series 1057, 83 p., https://doi.org/10.3133/ds1057.","productDescription":"Report: vi, 83 p.; Table 2","numberOfPages":"94","onlineOnly":"N","ipdsId":"IP-084827","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":346167,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/ds1057/coverthb.jpg"},{"id":346486,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/ds1057/ds1057_table02.csv","text":"Table 2","size":"114 KB","linkFileType":{"id":7,"text":"csv"},"description":"DS 1057, Table 2","linkHelpText":"Concentrations of water-quality constituents"},{"id":346168,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/ds1057/ds1057.pdf","text":"Report","size":"2.58 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1057"}],"country":"United States","state":"New York","county":"Westchester County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.87413024902342,\n              40.9055340480462\n            ],\n            [\n              -73.86451721191406,\n              40.9055340480462\n            ],\n            [\n              -73.86451721191406,\n              40.91818248731055\n            ],\n            [\n              -73.87413024902342,\n              40.91818248731055\n            ],\n            [\n              -73.87413024902342,\n              40.9055340480462\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, New York Water Science Center<br> U.S. Geological Survey<br> 2045 Route 112, Building 4<br> Coram, NY 11727<br> (518) 285–5602<br> or visit our website at<br> <a href=\"https://ny.water.usgs.gov\" data-mce-href=\"https://ny.water.usgs.gov\">https://ny.water.usgs.gov</a><br data-mce-bogus=\"1\"></p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Abstract<br></li><li>Introduction<br></li><li>Previous Investigations<br></li><li>Methods of Water-Quality Sample Collection<br></li><li>Data Dissemination<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2017-10-11","noUsgsAuthors":false,"publicationDate":"2017-10-11","publicationStatus":"PW","scienceBaseUri":"59defbb4e4b05fe04ccd3d47","contributors":{"authors":[{"text":"Chu, Anthony 0000-0001-8623-2862 achu@usgs.gov","orcid":"https://orcid.org/0000-0001-8623-2862","contributorId":2517,"corporation":false,"usgs":true,"family":"Chu","given":"Anthony","email":"achu@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":704569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noll, Michael L. 0000-0003-2050-3134 mnoll@usgs.gov","orcid":"https://orcid.org/0000-0003-2050-3134","contributorId":4652,"corporation":false,"usgs":true,"family":"Noll","given":"Michael","email":"mnoll@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":704570,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70206060,"text":"70206060 - 2017 - Have mummichog (Fundulus heteroclitus) from the lower Penobscot River, Maine, developed tolerance to the toxic effects of mercury?","interactions":[],"lastModifiedDate":"2019-10-21T07:09:24","indexId":"70206060","displayToPublicDate":"2017-10-02T07:09:11","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Have mummichog (Fundulus heteroclitus) from the lower Penobscot River, Maine, developed tolerance to the toxic effects of mercury?","docAbstract":"Fish populations that are chronically exposed to mercury (Hg) can develop resistance to the toxic effects of this metal, including mummichog (Fundulus heteroclitus; Weis 2002).  Such resistance allows them to potentially accumulate very high levels of this contaminant (Stefansson et al. 2013). Mercury is a neurotoxin that affects behavior in fish, including swimming and the ability to capture prey (Samson et al. 2001, Zhou et al. 2001), and behavior, reproduction and immune function in birds (Evers et al. 2008, Hawley et al. 2009).  Ingestion of mercury-contaminated prey could have significant, and severe, effects on migratory fish and piscivorous birds, including loons (Evers et al. 2008). We found that mercury concentrations in resident mummichog collected from sites in the lower Penobscot River in 2011 were 9 to 16 times higher than Hg levels in mummichog from a control site in Wells, Maine (Elskus 2012).   For part one of this study, reproductively mature male and female mummichog were collected in Fall 2015 from two sites in Maine: Bald Hill Cove, a mercury-contaminated site along the mercury gradient of the Penobscot River, and Drake, a reference site  at the Wells National Estuarine Research Reserve.  These parental fish were housed at the US EPA laboratory (Narragansett, RI).  Beginning in Spring 2016, these fish were fed diets containing either low or high concentrations of mercury for 28 days. Embryos were collected from these parents and divided into subsets.  One subset was used to measure the mercury concentrations in the embryos, the second subset was shipped to the University of Maine where they were hatched, and the larval fish evaluated for behavioral effects. For part two of this study, adult mummichog were collected from Hg-contaminated Bald Hill Cove and from a reference site, Wells, in the  Wells National Estuarine Reserve  and evaluated for mercury body burdens and  behavior. In Study 1, mercury was maternally transferred to the progeny demonstrating this is one pathway of generational exposure to mercury. Unfortunately, all larvae from the mercury-contaminated Bald Hill Cove population died before behavioral analysis could be done. Behavioral studies of the reference Drake population, however, demonstrated no significant differences between offspring of parents fed high mercury diets and offspring of parents fed low mercury diets. In Study 2, adult fish from the mercury contaminated BHC population had mercury body burdens that were four times higher than those in the reference Wells population, but while fewer BHC adults performed prey strikes than the Wells adults, there were no other significant behavioral differences between the two populations. In conclusion, the main hypothesis, that fish from the site receiving chronic mercury exposure had developed resistance to mercury toxicity, could not be definitively determined due to the death of embryos from the chronically exposed population.  However, the present study did reveal some behavioral effects associated with mercury exposure that warrant further study.  Behavioral approaches are important because they address  some of the basic and difficult questions surrounding contaminant exposures; namely that sub-lethal effects are important to evaluate because they may have consequences for individual and perhaps population survival.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Report to the Joint Standing Committee on Environment and Natural Resources","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"Maine Department of Environmental Protection","collaboration":"Maine Department of Environmental Protection","usgsCitation":"Elskus, A., and Van Beneden, R., 2017, Have mummichog (Fundulus heteroclitus) from the lower Penobscot River, Maine, developed tolerance to the toxic effects of mercury?, 38 p.","productDescription":"38 p.","startPage":"184","endPage":"221","ipdsId":"IP-091635","costCenters":[{"id":365,"text":"Leetown Science 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 \"}}]}","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Elskus, Adria 0000-0003-1192-5124 aelskus@usgs.gov","orcid":"https://orcid.org/0000-0003-1192-5124","contributorId":130,"corporation":false,"usgs":true,"family":"Elskus","given":"Adria","email":"aelskus@usgs.gov","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":773445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Beneden, Rebecca","contributorId":219873,"corporation":false,"usgs":false,"family":"Van Beneden","given":"Rebecca","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":773446,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70191231,"text":"70191231 - 2017 - The concurrent use of novel soil surface microclimate measurements to evaluate CO2 pulses in biocrusted interspaces in a cool desert ecosystem","interactions":[],"lastModifiedDate":"2017-10-02T16:21:32","indexId":"70191231","displayToPublicDate":"2017-10-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The concurrent use of novel soil surface microclimate measurements to evaluate CO<sub>2</sub> pulses in biocrusted interspaces in a cool desert ecosystem","title":"The concurrent use of novel soil surface microclimate measurements to evaluate CO2 pulses in biocrusted interspaces in a cool desert ecosystem","docAbstract":"<p><span>Carbon cycling associated with biological soil crusts, which occupy interspaces between vascular plants in drylands globally, may be an important part of the coupled climate-carbon cycle of the Earth system. A major challenge to understanding CO</span><sub>2</sub><span><span>&nbsp;</span>fluxes in these systems is that much of the biotic and biogeochemical activity occurs in the upper few mm of the soil surface layer (i.e., the ‘mantle of fertility’), which exhibits highly dynamic and difficult to measure temperature and moisture fluctuations. Here, we report a multi-sensor approach to simultaneously measuring temperature and moisture of this biocrust surface layer (0–2&nbsp;mm), and the deeper soil profile, concurrent with automated measurement of surface soil CO</span><sub>2</sub><span>effluxes. Our results illuminate robust relationships between biocrust water content and field CO</span><sub>2</sub><span><span>&nbsp;</span>pulses that have previously been difficult to detect and explain. All observed CO</span><sub>2</sub><span><span>&nbsp;</span>pulses over the measurement period corresponded to surface wetting events, including when the wetting events did not penetrate into the soil below the biocrust layer (0–2&nbsp;mm). The variability of temperature and moisture of the biocrust surface layer was much greater than even in the 0–5&nbsp;cm layer of the soil beneath the biocrust, or deeper in the soil profile. We therefore suggest that coupling surface measurements of biocrust moisture and temperature to automated CO</span><sub>2</sub><span>flux measurements may greatly improve our understanding of the climatic sensitivity of carbon cycling in biocrusted interspaces in our study region, and that this method may be globally relevant and applicable.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10533-017-0372-3","usgsCitation":"Tucker, C., McHugh, T.A., Howell, A.J., Gill, R., Weber, B., Belnap, J., Grote, E.E., and Reed, S.C., 2017, The concurrent use of novel soil surface microclimate measurements to evaluate CO2 pulses in biocrusted interspaces in a cool desert ecosystem: Biogeochemistry, v. 135, no. 3, p. 239-249, https://doi.org/10.1007/s10533-017-0372-3.","productDescription":"11 p.","startPage":"239","endPage":"249","ipdsId":"IP-079658","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":346333,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"135","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-09","publicationStatus":"PW","scienceBaseUri":"59d35025e4b05fe04cc34d4b","contributors":{"authors":[{"text":"Tucker, Colin 0000-0002-4539-7780 ctucker@usgs.gov","orcid":"https://orcid.org/0000-0002-4539-7780","contributorId":167487,"corporation":false,"usgs":true,"family":"Tucker","given":"Colin","email":"ctucker@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":711634,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McHugh, Theresa A.","contributorId":195169,"corporation":false,"usgs":false,"family":"McHugh","given":"Theresa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":711635,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howell, Armin J. 0000-0003-1243-0238 ahowell@usgs.gov","orcid":"https://orcid.org/0000-0003-1243-0238","contributorId":196798,"corporation":false,"usgs":true,"family":"Howell","given":"Armin","email":"ahowell@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":711636,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gill, Richard 0000-0001-8981-0621","orcid":"https://orcid.org/0000-0001-8981-0621","contributorId":196799,"corporation":false,"usgs":false,"family":"Gill","given":"Richard","email":"","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":711637,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weber, Bettina","contributorId":196800,"corporation":false,"usgs":false,"family":"Weber","given":"Bettina","email":"","affiliations":[],"preferred":false,"id":711638,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":711639,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grote, Edmund E. 0000-0002-9103-9482 ed_grote@usgs.gov","orcid":"https://orcid.org/0000-0002-9103-9482","contributorId":4271,"corporation":false,"usgs":true,"family":"Grote","given":"Edmund","email":"ed_grote@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":711640,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":711641,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70191226,"text":"70191226 - 2017 - Identification of Chelonid herpesvirus 5 (ChHV5) in endangered green turtles (Chelonia mydas) with fibropapillomatosis in Asia","interactions":[],"lastModifiedDate":"2017-10-16T14:15:35","indexId":"70191226","displayToPublicDate":"2017-10-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1106,"text":"Bulletin of Marine Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Identification of <i>Chelonid herpesvirus 5</i> (ChHV5) in endangered green turtles (<i>Chelonia mydas</i>) with fibropapillomatosis in Asia","title":"Identification of Chelonid herpesvirus 5 (ChHV5) in endangered green turtles (Chelonia mydas) with fibropapillomatosis in Asia","docAbstract":"<p><span>Fibropapillomatosis (FP), a debilitating tumor disease of sea turtles, was first identified in green turtles [</span><i>Chelonia mydas</i><span><span>&nbsp;</span>(Linnaeus, 1758)] in Florida in 1938. In recent decades, FP has been observed globally and is an emerging panzootic disease in sea turtles. However, few reports of FP in Asia exist. Here, we provide the first evidence of<span>&nbsp;</span></span><i>Chelonid herpesvirus 5</i><span><span>&nbsp;</span>(ChHV5) DNA associated with FP in endangered green turtles from Taiwan, through molecular characterization, phylogenetic analysis, and histopathological examination. In our study, ChHV5 was successfully detected by PCR in the FP tumor lesions of green turtles. The sequences were found to be consistent with those of tumor-inducing viruses shown to affect sea turtles in the other parts of the world. ChHV5 RNA from the FP tissues was further detected by RT-PCR, indicating active replication of the viruses inside FP tumors. In addition to the molecular evidence of ChHV5 in FP, epidermal intranuclear inclusions were identified in tumor lesions upon histopathological examination. This further suggests that ChHV5 should be in a transcriptionally active (i.e., non-latent) state in FP tumors of affected green turtles. The phylogenetic tree revealed that ChHV5 from the green turtles in Taiwan were closest to the ChHV5 from Hawaii, Puerto Rico, and Sao Tome. For conservation of endangered sea turtles, ChHV5 should be considered an emerging virus, which threatens sea turtles in marine waters in Asia.</span></p>","language":"English","publisher":"University of Miami - Rosenstiel School of Marine and Atmospheric Science","doi":"10.5343/bms.2017.1018","usgsCitation":"Li, T., Hsu, W., Lan, Y., Balazs, G.H., Work, T.M., Tseng, C., and Chang, C., 2017, Identification of Chelonid herpesvirus 5 (ChHV5) in endangered green turtles (Chelonia mydas) with fibropapillomatosis in Asia: Bulletin of Marine Science, v. 93, no. 4, p. 1011-1022, https://doi.org/10.5343/bms.2017.1018.","productDescription":"12 p.","startPage":"1011","endPage":"1022","ipdsId":"IP-084571","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":346334,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d35026e4b05fe04cc34d4f","contributors":{"authors":[{"text":"Li, Tsung-Hsien","contributorId":196784,"corporation":false,"usgs":false,"family":"Li","given":"Tsung-Hsien","email":"","affiliations":[],"preferred":false,"id":711613,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hsu, Wei-Li","contributorId":196785,"corporation":false,"usgs":false,"family":"Hsu","given":"Wei-Li","email":"","affiliations":[],"preferred":false,"id":711614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lan, Yu-Ching","contributorId":196786,"corporation":false,"usgs":false,"family":"Lan","given":"Yu-Ching","email":"","affiliations":[],"preferred":false,"id":711615,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Balazs, George H.","contributorId":127680,"corporation":false,"usgs":false,"family":"Balazs","given":"George","email":"","middleInitial":"H.","affiliations":[{"id":7109,"text":"NOAA, National Marine Fisheries Service, Pacific Islands Fisheries Science Center, 1845 Wasp Boulevard, Building 176, Honolulu, HI 96818.","active":true,"usgs":false}],"preferred":false,"id":711616,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":711612,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tseng, Cheng-Tsung","contributorId":196787,"corporation":false,"usgs":false,"family":"Tseng","given":"Cheng-Tsung","email":"","affiliations":[],"preferred":false,"id":711617,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chang, Chao-Chin","contributorId":196788,"corporation":false,"usgs":false,"family":"Chang","given":"Chao-Chin","email":"","affiliations":[],"preferred":false,"id":711618,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70191268,"text":"70191268 - 2017 - Model parameters for representative wetland plant functional groups","interactions":[],"lastModifiedDate":"2017-10-08T12:16:12","indexId":"70191268","displayToPublicDate":"2017-10-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Model parameters for representative wetland plant functional groups","docAbstract":"<p><span>Wetlands provide a wide variety of ecosystem services including water quality remediation, biodiversity refugia, groundwater recharge, and floodwater storage. Realistic estimation of ecosystem service benefits associated with wetlands requires reasonable simulation of the hydrology of each site and realistic simulation of the upland and wetland plant growth cycles. Objectives of this study were to quantify leaf area index (LAI), light extinction coefficient (</span><i>k</i><span>), and plant nitrogen (N), phosphorus (P), and potassium (K) concentrations in natural stands of representative plant species for some major plant functional groups in the United States. Functional groups in this study were based on these parameters and plant growth types to enable process-based modeling. We collected data at four locations representing some of the main wetland regions of the United States. At each site, we collected on-the-ground measurements of fraction of light intercepted, LAI, and dry matter within the 2013–2015 growing seasons. Maximum LAI and<span>&nbsp;</span></span><i>k</i><span><span>&nbsp;</span>variables showed noticeable variations among sites and years, while overall averages and functional group averages give useful estimates for multisite simulation modeling. Variation within each species gives an indication of what can be expected in such natural ecosystems. For P and K, the concentrations from highest to lowest were spikerush (</span><i>Eleocharis macrostachya</i><span>), reed canary grass (</span><i>Phalaris arundinacea</i><span>), smartweed (</span><i>Polygonum</i><span><span>&nbsp;</span>spp.), cattail (</span><i>Typha</i><span><span>&nbsp;</span>spp.), and hardstem bulrush (</span><i>Schoenoplectus acutus</i><span>). Spikerush had the highest N concentration, followed by smartweed, bulrush, reed canary grass, and then cattail. These parameters will be useful for the actual wetland species measured and for the wetland plant functional groups they represent. These parameters and the associated process-based models offer promise as valuable tools for evaluating environmental benefits of wetlands and for evaluating impacts of various agronomic practices in adjacent areas as they affect wetlands.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1958","usgsCitation":"Williams, A.S., Kiniry, J.R., Mushet, D.M., Smith, L., McMurry, S.T., Attebury, K., Lang, M., McCarty, G.W., Shaffer, J.A., Effland, W.R., and Johnson, M., 2017, Model parameters for representative wetland plant functional groups: Ecosphere, v. 8, no. 10, p. 1-14, https://doi.org/10.1002/ecs2.1958.","productDescription":"Article e01958; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-075940","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":469465,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1958","text":"Publisher Index Page"},{"id":346339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"10","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-02","publicationStatus":"PW","scienceBaseUri":"59d35025e4b05fe04cc34d45","contributors":{"authors":[{"text":"Williams, Amber S.","contributorId":196855,"corporation":false,"usgs":false,"family":"Williams","given":"Amber","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":711793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kiniry, James R.","contributorId":66918,"corporation":false,"usgs":true,"family":"Kiniry","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":711794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":711795,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Loren M.","contributorId":88876,"corporation":false,"usgs":true,"family":"Smith","given":"Loren M.","affiliations":[],"preferred":false,"id":711796,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McMurry, Scott T.","contributorId":191876,"corporation":false,"usgs":false,"family":"McMurry","given":"Scott","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":711797,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Attebury, Kelly","contributorId":196857,"corporation":false,"usgs":false,"family":"Attebury","given":"Kelly","email":"","affiliations":[],"preferred":false,"id":711798,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lang, Megan","contributorId":156431,"corporation":false,"usgs":false,"family":"Lang","given":"Megan","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":711799,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCarty, Gregory W.","contributorId":192367,"corporation":false,"usgs":false,"family":"McCarty","given":"Gregory","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":711800,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shaffer, Jill A. 0000-0003-3172-0708 jshaffer@usgs.gov","orcid":"https://orcid.org/0000-0003-3172-0708","contributorId":3184,"corporation":false,"usgs":true,"family":"Shaffer","given":"Jill","email":"jshaffer@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":711801,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Effland, William R.","contributorId":196858,"corporation":false,"usgs":false,"family":"Effland","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":711802,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Johnson, Mari-Vaughn V.","contributorId":196859,"corporation":false,"usgs":false,"family":"Johnson","given":"Mari-Vaughn V.","affiliations":[],"preferred":false,"id":711803,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70188528,"text":"70188528 - 2017 - Application of paleoecology to ecosystem restoration: A case study from south Florida’s estuaries","interactions":[],"lastModifiedDate":"2018-10-16T09:55:31","indexId":"70188528","displayToPublicDate":"2017-10-01T15:40:27","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Application of paleoecology to ecosystem restoration: A case study from south Florida’s estuaries","docAbstract":"<p><span>Paleoecological analyses of biotic assemblages from cores collected throughout south Florida’s estuaries indicate gradually increasing salinities over approximately the last 2000 years, consistent with rising sea level. Around the beginning of the twentieth century these gradual patterns of change began to shift, corresponding to the beginning of human alteration of the environment via canal construction, railroad construction and other land use changes. Between 1950 and 1960, at a time of significant construction of water management structures another distinctive shift in the biological assemblages occurred. Analysis of the assemblages provides essential information on long-term patterns of change in the estuaries and provides a basis for predicting future trajectories of change. Paleosalinity estimates derived from the cores are providing input to linear regression models to determine related freshwater flow into the estuaries of south Florida. These analyses are being used to help establish performance measures and targets for the Comprehensive Everglades Restoration, established following an Act of Congress in 2000. Restoration of south Florida’s ecosystems is slated to be a 30–50 year effort that will require detailed knowledge of past decadal to centennial-scale changes in climate, freshwater flow and salinity. This historical perspective provides information that allows land managers to set realistic and sustainable goals for restoration, and provides insight into the potential response of south Florida’s ecosystem to various future scenarios of global change.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Applications of paleoenvironmental techniques in estuarine studies. Part of the Developments in Paleoenvironmental Research book series. ","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-94-024-0990-1_22","usgsCitation":"Wingard, G.L., 2017, Application of paleoecology to ecosystem restoration: A case study from south Florida’s estuaries, chap. <i>of</i> Applications of paleoenvironmental techniques in estuarine studies. Part of the Developments in Paleoenvironmental Research book series. , v. 20, p. 551-585, https://doi.org/10.1007/978-94-024-0990-1_22.","productDescription":"35 p.","startPage":"551","endPage":"585","ipdsId":"IP-017977","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":358397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.869873046875,\n              24.43714786161562\n            ],\n            [\n              -78.9312744140625,\n              24.43714786161562\n            ],\n            [\n              -78.9312744140625,\n              27.259512784361693\n            ],\n            [\n              -82.869873046875,\n              27.259512784361693\n            ],\n            [\n              -82.869873046875,\n              24.43714786161562\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"20","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-15","publicationStatus":"PW","scienceBaseUri":"5c10ab02e4b034bf6a7e5f39","contributors":{"editors":[{"text":"Weckstrom, Kaarina","contributorId":209733,"corporation":false,"usgs":false,"family":"Weckstrom","given":"Kaarina","email":"","affiliations":[],"preferred":false,"id":748662,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Saunders, Krystyna M.","contributorId":209734,"corporation":false,"usgs":false,"family":"Saunders","given":"Krystyna","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":748663,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Gell, Peter A.","contributorId":66602,"corporation":false,"usgs":true,"family":"Gell","given":"Peter","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":748664,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Skilbeck, C. Gregory","contributorId":209735,"corporation":false,"usgs":false,"family":"Skilbeck","given":"C.","email":"","middleInitial":"Gregory","affiliations":[],"preferred":false,"id":748665,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Wingard, G. Lynn 0000-0002-3833-5207 lwingard@usgs.gov","orcid":"https://orcid.org/0000-0002-3833-5207","contributorId":605,"corporation":false,"usgs":true,"family":"Wingard","given":"G.","email":"lwingard@usgs.gov","middleInitial":"Lynn","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":698150,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70202330,"text":"70202330 - 2017 - Vertical distribution of alewife in the Lake Ontario offshore: Implications for resource use","interactions":[],"lastModifiedDate":"2019-02-22T12:49:13","indexId":"70202330","displayToPublicDate":"2017-10-01T12:49:04","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Vertical distribution of alewife in the Lake Ontario offshore: Implications for resource use","docAbstract":"<p><span>Oligotrophication of Lake Ontario has led to increased water clarity and an increased proportion of&nbsp;zooplankton&nbsp;residing in the metalimnion during the day, which may affect the utilization of different depth regions for planktivorous fish. We investigated day and night distributions of fish using&nbsp;hydroacoustics&nbsp;and suspended vertical&nbsp;gillnets&nbsp;during the summer of 2013 when a deep&nbsp;chlorophyll&nbsp;layer (DCL) was established. We related fish distributions to concurrent measures of temperature and prey (zooplankton) density. Alewife dominated in vertical gill net catches, indicating that most&nbsp;acoustic&nbsp;targets were alewife. Alewife schooled during the day in the bottom of the mixed layer, and at dusk alewife schools broke up and fish moved towards the surface. We hypothesize this movement followed migrating zooplankton to allow feeding at night; alewife sampled from vertical gillnets fed on cyclopoid copepods and cladocerans, prey groups that migrate into the&nbsp;epilimnion&nbsp;at night. Some alewife remained at the bottom of the mixed layer at night and these fish ate deep-water calanoid copepods such as&nbsp;</span><i>Limnocalanus</i><span>.&nbsp;Vertical distributions&nbsp;were best predicted by temperature and the interaction between temperature and zooplankton density. We include uplooking&nbsp;acoustics data&nbsp;to complement our downlooking datasets, which provided evidence for potential bias in downlooking acoustic assessments of alewife due to high proportions of alewife found in the surface exclusion zone. Our approach combining several datasets provides a new perspective to understand summer diel distribution of alewife and the factors driving their distribution.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2017.07.007","usgsCitation":"Riha, M., Walsh, M., Connerton, M., Holden, J., Weidel, B., Sullivan, P.J., Holda, T.J., and Rudstam, L.G., 2017, Vertical distribution of alewife in the Lake Ontario offshore: Implications for resource use: Journal of Great Lakes Research, v. 43, no. 5, p. 823-837, https://doi.org/10.1016/j.jglr.2017.07.007.","productDescription":"15 p.","startPage":"823","endPage":"837","ipdsId":"IP-079963","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":469466,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2017.07.007","text":"Publisher Index Page"},{"id":361464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lake Ontario ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.98596191406249,\n              43.12905229628564\n            ],\n            [\n              -75.904541015625,\n              43.12905229628564\n            ],\n            [\n              -75.904541015625,\n              44.4377021634654\n            ],\n            [\n              -79.98596191406249,\n              44.4377021634654\n            ],\n            [\n              -79.98596191406249,\n              43.12905229628564\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"5","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Riha, Milan","contributorId":213505,"corporation":false,"usgs":false,"family":"Riha","given":"Milan","email":"","affiliations":[{"id":38766,"text":"Institute of Hydrobiology, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":757859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Maureen 0000-0001-7846-5025 mwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-7846-5025","contributorId":3659,"corporation":false,"usgs":true,"family":"Walsh","given":"Maureen","email":"mwalsh@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":757858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connerton, Michael J.","contributorId":168904,"corporation":false,"usgs":false,"family":"Connerton","given":"Michael J.","affiliations":[{"id":25383,"text":"NY State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":757860,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holden, Jeremy","contributorId":168905,"corporation":false,"usgs":false,"family":"Holden","given":"Jeremy","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":757861,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":757862,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sullivan, Patrick J.","contributorId":213506,"corporation":false,"usgs":false,"family":"Sullivan","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":757863,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Holda, Toby J.","contributorId":213507,"corporation":false,"usgs":false,"family":"Holda","given":"Toby","email":"","middleInitial":"J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":757864,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rudstam, Lars G. 0000-0002-3732-6368","orcid":"https://orcid.org/0000-0002-3732-6368","contributorId":213508,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":757865,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70200587,"text":"70200587 - 2017 - Irrigation as a fuel pump to freshwater ecosystems","interactions":[],"lastModifiedDate":"2018-10-25T11:32:46","indexId":"70200587","displayToPublicDate":"2017-10-01T11:32:39","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Irrigation as a fuel pump to freshwater ecosystems","docAbstract":"<p><span>We generated a detailed time series of total dissolved hydrolyzable amino acids (DHAA) in a watershed dominated by irrigated agriculture in northern California, USA to investigate the roles of hydrologic and seasonal changes on the composition of dissolved organic matter (DOM). DHAA are sensitive indicators of the degradation state and reactivity of DOM. DHAA concentrations ranged from 0.55 to 9.96&nbsp;μM (median 3.51&nbsp;±&nbsp;1.80&nbsp;μM), with expected peaks during high-discharge storms and unexpected high values throughout the low-discharge irrigation season. Overall, summer irrigation was a critical hydrologic regime for DOM cycling since it mobilized DOM similar in concentration and reactivity to DOM released during storms. Together, irrigation and storm flows exported DOM with (1) the largest DHAA contributions to the dissolved organic carbon and the dissolved organic nitrogen pools, (2) the largest proportion of basic amino acids, and (3) the lowest degradation extent based on multiple indices. In this highly disturbed terrestrial system, UV–vis absorbance did not correlate with DHAA concentrations, while classic interpretations of common amino acid indicators (e.g., proportion of basic amino acids, degradation index, percent of non-protein amino acids) were prone to conflicting characterizations of DOM reactivity. Therefore, a new parameter (processing ratio, PR) derived from individual amino acid concentrations was developed that demonstrated a strong potential for mechanistic-driven characterization of the extent of DOM diagenesis in freshwaters. Irrigated agriculture altered stream biogeochemistry by releasing a continuous supply of reactive DOM (lowest PR values), thereby providing an additional energy source to downstream ecosystems.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10533-017-0381-2","usgsCitation":"Matiasek, S., Pellerin, B., Spencer, R., Bergamaschi, B.A., and Hernes, P.J., 2017, Irrigation as a fuel pump to freshwater ecosystems: Biogeochemistry, v. 136, no. 1, p. 71-90, https://doi.org/10.1007/s10533-017-0381-2.","productDescription":"20 p.","startPage":"71","endPage":"90","ipdsId":"IP-086392","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":358801,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Willow Slough watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.25,\n              38.5\n            ],\n            [\n              -121.6667,\n              38.5\n            ],\n            [\n              -121.6667,\n              38.75\n            ],\n            [\n              -122.25,\n              38.75\n            ],\n            [\n              -122.25,\n              38.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"136","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-26","publicationStatus":"PW","scienceBaseUri":"5c10ab02e4b034bf6a7e5f3f","contributors":{"authors":[{"text":"Matiasek, Sandrine J. 0000-0003-0272-0354","orcid":"https://orcid.org/0000-0003-0272-0354","contributorId":210031,"corporation":false,"usgs":false,"family":"Matiasek","given":"Sandrine","middleInitial":"J.","affiliations":[{"id":38054,"text":"Department of Geological and Environmental Sciences, California State University Chico, 400 W 1st St, Chico, CA 95929, USA","active":true,"usgs":false}],"preferred":false,"id":749652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pellerin, Brian A. 0000-0003-3712-7884","orcid":"https://orcid.org/0000-0003-3712-7884","contributorId":204324,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian A.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":749651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spencer, Robert G.M.","contributorId":173304,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert G.M.","affiliations":[{"id":16705,"text":"Woods Hole Research Center","active":true,"usgs":false}],"preferred":false,"id":749653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":749654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hernes, Peter J.","contributorId":139730,"corporation":false,"usgs":false,"family":"Hernes","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":12894,"text":"Department of Land, Air, and Water Resources, University of California, One Shields Avenue, Davis, CA, 95616, USA","active":true,"usgs":false}],"preferred":false,"id":749655,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192197,"text":"70192197 - 2017 - A method for quantifying cloud immersion in a tropical mountain forest using time-lapse photography","interactions":[],"lastModifiedDate":"2017-10-23T12:15:45","indexId":"70192197","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"A method for quantifying cloud immersion in a tropical mountain forest using time-lapse photography","docAbstract":"<p><span>Quantifying the frequency, duration, and elevation range of fog or cloud immersion is essential to estimate cloud water deposition in water budgets and to understand the ecohydrology of cloud forests. The goal of this study was to develop a low-cost and high spatial-coverage method to detect occurrence of cloud immersion within a mountain cloud forest by using time-lapse photography. Trail cameras and temperature/relative humidity sensors were deployed at five sites covering the elevation range from the assumed lifting condensation level to the mountain peaks in the Luquillo Mountains of Puerto Rico. Cloud-sensitive image characteristics (contrast, the coefficient of variation and the entropy of pixel luminance, and image colorfulness) were used with a&nbsp;</span><i>k</i><span>-means clustering approach to accurately detect cloud-immersed conditions in a time series of images from March 2014 to May 2016. Images provided hydrologically meaningful cloud-immersion information while temperature-relative humidity data were used to refine the image analysis using dew point information and provided temperature gradients along the elevation transect. Validation of the image processing method with human-judgment based classification generally indicated greater than 90% accuracy. Cloud-immersion frequency averaged 80% at sites above 900&nbsp;m during nighttime hours and 49% during daytime hours, and was consistent with diurnal patterns of cloud immersion measured in a previous study. Results for the 617&nbsp;m site demonstrated that cloud immersion in the Luquillo Mountains rarely occurs at the previously-reported cloud base elevation of about 600&nbsp;m (11% during nighttime hours and 5% during daytime hours). The framework presented in this paper will be used to monitor at a low cost and high spatial resolution the long-term variability of cloud-immersion patterns in the Luquillo Mountains, and can be applied to ecohydrology research at other cloud-forest sites or in coastal ecosystems with advective sea fog.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2017.04.010","usgsCitation":"Bassiouni, M., Scholl, M.A., Torres-Sanchez, A.J., and Murphy, S.F., 2017, A method for quantifying cloud immersion in a tropical mountain forest using time-lapse photography: Agricultural and Forest Meteorology, v. 243, p. 100-112, https://doi.org/10.1016/j.agrformet.2017.04.010.","productDescription":"13 p.","startPage":"100","endPage":"112","ipdsId":"IP-086096","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469543,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.agrformet.2017.04.010","text":"Publisher Index Page"},{"id":438199,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7HQ3X52","text":"USGS data release","linkHelpText":"Supplementary Data for Method for Quantifying Cloud Immersion in a Tropical Mountain Forest Using Time-Lapse Photography"},{"id":347111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"El Yunque National Forest, Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -65.86647033691406,\n              18.242720598398734\n            ],\n            [\n              -65.70270538330078,\n              18.242720598398734\n            ],\n            [\n              -65.70270538330078,\n              18.34866001012719\n            ],\n            [\n              -65.86647033691406,\n              18.34866001012719\n            ],\n            [\n              -65.86647033691406,\n              18.242720598398734\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"243","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59eeffa3e4b0220bbd988f65","contributors":{"authors":[{"text":"Bassiouni, Maoya 0000-0001-5795-9894","orcid":"https://orcid.org/0000-0001-5795-9894","contributorId":197780,"corporation":false,"usgs":true,"family":"Bassiouni","given":"Maoya","affiliations":[],"preferred":false,"id":714696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":714695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Torres-Sanchez, Angel J. 0000-0002-5595-021X ajtorres@usgs.gov","orcid":"https://orcid.org/0000-0002-5595-021X","contributorId":5623,"corporation":false,"usgs":true,"family":"Torres-Sanchez","given":"Angel","email":"ajtorres@usgs.gov","middleInitial":"J.","affiliations":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714697,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":714698,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193556,"text":"70193556 - 2017 - Ecological impacts of winter water level drawdowns on lake littoral zones: A review","interactions":[],"lastModifiedDate":"2017-11-14T12:48:00","indexId":"70193556","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","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":"Ecological impacts of winter water level drawdowns on lake littoral zones: A review","docAbstract":"<p><span>Freshwater littoral zones harbor diverse ecological communities and serve numerous ecosystem functions that are controlled, in part, by natural water level fluctuations. However, human alteration of lake hydrologic regimes beyond natural fluctuations threaten littoral zone ecological integrity. One type of hydrologic alteration in lakes is winter water level drawdowns, which are frequently employed for hydropower, flood control, and macrophyte control, among other purposes. Here, we synthesize the abiotic and biotic responses to annual and novel winter water level drawdowns in littoral zones of lakes and reservoirs. The dewatering, freezing, and increased erosion of exposed lakebeds drive changes in the littoral zone. Shoreline-specific physicochemical conditions such as littoral slope and shoreline exposure further induce modifications. Loss of fine sediment decreases nutrient availability over time, but desiccation may promote a temporary nutrient pulse upon re-inundation. Annual winter drawdowns can decrease taxonomic richness of macrophytes and benthic invertebrates and shift assemblage composition to favor taxa with r-selected life history strategies and with functional traits resistant to direct and indirect drawdown effects. Fish assemblages, though less directly affected by winter drawdowns (except where there is critically low dissolved oxygen), experience negative effects via indirect pathways like decreased food resources and spawning habitat. We identify eight general research gaps to guide future research that could improve our understanding about the complex effects of winter drawdowns on littoral zone ecology.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00027-017-0549-9","usgsCitation":"Roy, A.H., 2017, Ecological impacts of winter water level drawdowns on lake littoral zones: A review: Aquatic Sciences, v. 79, no. 4, p. 803-824, https://doi.org/10.1007/s00027-017-0549-9.","productDescription":"22 p.","startPage":"803","endPage":"824","ipdsId":"IP-085344","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469482,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00027-017-0549-9","text":"Publisher Index Page"},{"id":348793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-06","publicationStatus":"PW","scienceBaseUri":"5a60fb3ae4b06e28e9c22e20","contributors":{"authors":[{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719355,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70192114,"text":"70192114 - 2017 - Isotopic characterization of late Neogene travertine deposits at Barrancas Blancas in the eastern Atacama Desert, Chile","interactions":[],"lastModifiedDate":"2017-10-23T15:13:59","indexId":"70192114","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Isotopic characterization of late Neogene travertine deposits at Barrancas Blancas in the eastern Atacama Desert, Chile","docAbstract":"<p><span>Here we explore the potential of spring-related, surface and subsurface carbonates as an archive of paleoenvironmental change at Barrancas Blancas, located in the broadest and driest sector of the Atacama Desert at 24.5°S. From these deposits we present a new stable isotopic record of paleoenvironmental conditions over portions of the past ~</span><span>&nbsp;</span><span>11.5</span><span>&nbsp;</span><span>Ma. U-Pb dates from the carbonates, both surface and subsurface, demonstrate that springs have discharged at this location over much of the last 11.5</span><span>&nbsp;</span><span>Ma, attesting to the exceptional geomorphic stability of the central Atacama. Many of the sampled vein systems line vertical fissures, and formed within the aquifer before groundwater discharged at the surface. Carbonates in such circumstances should not undergo off-gassing and kinetic fractionation prior to formation, simplifying the interpretation of their isotopic composition. Oxygen isotopic compositions of carbonates are generally high (&gt;−</span><span>&nbsp;</span><span>5‰VPDB), and using paleospring water temperatures of 3–13</span><span>&nbsp;</span><span>°C reconstructed from clumped isotopes, point to strongly (up to 50%) evaporated water isotope values, like those associated with the hyperarid core of the Atacama Desert today. Carbon isotopic compositions are also high (≥+3‰ PDB), reflecting a recharge area essentially devoid of plants and dominated by volcanic CO</span><sub>2</sub><span>, as is the case today. Our isotopic results are very similar to those from the Calama Basin to the north, suggesting that the western face of the Andes between 21 and 25°S has been highly evaporative and nearly plantless when these springs discharged over the last 11.5</span><span>&nbsp;</span><span>Ma. The spring carbonates at Barrancas Blancas strongly resemble those found at Devils Hole and Furnace Creek in Death Valley, USA, and as such warrant further exploration as potential archives of climate change.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2017.05.004","usgsCitation":"Quade, J., Rasbury, E., Huntington, K., Hudson, A.M., Vonhof, H., Anchukaitis, K., Betancourt, J.L., Latorre, C., and Pepper, M., 2017, Isotopic characterization of late Neogene travertine deposits at Barrancas Blancas in the eastern Atacama Desert, Chile: Chemical Geology, v. 466, p. 41-56, https://doi.org/10.1016/j.chemgeo.2017.05.004.","productDescription":"16 p.","startPage":"41","endPage":"56","ipdsId":"IP-086267","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":347157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Atacama Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -69.25,\n              -25\n            ],\n            [\n              -68.5,\n              -25\n            ],\n            [\n              -68.5,\n              -24.5\n            ],\n            [\n              -69.25,\n              -24.5\n            ],\n            [\n              -69.25,\n              -25\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"466","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59eeffa4e4b0220bbd988f71","contributors":{"authors":[{"text":"Quade, J.","contributorId":197774,"corporation":false,"usgs":false,"family":"Quade","given":"J.","email":"","affiliations":[],"preferred":false,"id":714281,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rasbury, E.T.","contributorId":197775,"corporation":false,"usgs":false,"family":"Rasbury","given":"E.T.","email":"","affiliations":[],"preferred":false,"id":714282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huntington, K.W.","contributorId":197776,"corporation":false,"usgs":false,"family":"Huntington","given":"K.W.","email":"","affiliations":[],"preferred":false,"id":714283,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hudson, Adam M. 0000-0002-3387-9838 ahudson@usgs.gov","orcid":"https://orcid.org/0000-0002-3387-9838","contributorId":195419,"corporation":false,"usgs":true,"family":"Hudson","given":"Adam","email":"ahudson@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":714284,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vonhof, H.","contributorId":197777,"corporation":false,"usgs":false,"family":"Vonhof","given":"H.","email":"","affiliations":[],"preferred":false,"id":714285,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anchukaitis, K.","contributorId":197778,"corporation":false,"usgs":false,"family":"Anchukaitis","given":"K.","email":"","affiliations":[],"preferred":false,"id":714286,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":714280,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Latorre, C.","contributorId":195885,"corporation":false,"usgs":false,"family":"Latorre","given":"C.","affiliations":[],"preferred":false,"id":714287,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pepper, M.","contributorId":197779,"corporation":false,"usgs":false,"family":"Pepper","given":"M.","email":"","affiliations":[],"preferred":false,"id":714288,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70191512,"text":"70191512 - 2017 - Using dissolved carbon dioxide to alter the behavior of invasive round goby","interactions":[],"lastModifiedDate":"2017-10-16T09:48:44","indexId":"70191512","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Using dissolved carbon dioxide to alter the behavior of invasive round goby","docAbstract":"<p><span>Fisheries managers need effective methods to limit the spread of invasive round goby&nbsp;</span><i>Neogobius melanostomus</i><span><span>&nbsp;</span>in North America. Elevating carbon dioxide (CO</span><sub><span class=\"style1\">2</span></sub><span>) in water at pinch points of rivers (e.g., inside locks) is one approach showing potential to deter the passage of invasive fishes, such as bigheaded carps<span>&nbsp;</span></span><i>Hypophthalmichthys</i><span><span>&nbsp;</span>spp., but the effectiveness of this method to alter round goby behavior has not been determined. The goal for this study was to determine CO</span><sub><span class=\"style1\">2</span></sub><span><span>&nbsp;</span>concentrations that alter round goby behavior across a range of water temperatures. Free-swimming avoidance (voluntary response) and loss of equilibrium (involuntary response) were quantified by exposing round goby to increasing CO</span><sub><span class=\"style1\">2</span></sub><span><span>&nbsp;</span>concentrations at 5, 15, and 25 °C using a shuttle box choice arena and static tank. Water chemistry was measured concurrent with behavioral endpoints and showed that round goby avoided a threshold of 99–169 mg/L CO</span><sub>2</sub><span>(79,000–178,000 µatm) and lost equilibrium at 197–280 mg/L CO</span><sub><span class=\"style1\">2</span></sub><span><span>&nbsp;</span>(163,000–303,000 µatm). Approximately 50% lower CO</span><sub><span class=\"style1\">2</span></sub><span><span>&nbsp;</span>concentrations were found to modify behavior at 5 °C relative to 25 °C, suggesting greater effectiveness at lower water temperatures. We conclude that CO</span><sub><span class=\"style1\">2</span></sub><span><span>&nbsp;</span>modified round goby behavior and concentrations determined in this study are intended to guide field testing of CO</span><sub><span class=\"style1\">2</span></sub><span><span>&nbsp;</span>as an invasive fish deterrent.</span></p>","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre","doi":"10.3391/mbi.2017.8.4.12","usgsCitation":"Cupp, A.R., Tix, J., Smerud, J.R., Erickson, R.A., Fredricks, K.T., Amberg, J., Suski, C., and Wakeman, R., 2017, Using dissolved carbon dioxide to alter the behavior of invasive round goby: Management of Biological Invasions, v. 8, no. 4, p. 567-574, https://doi.org/10.3391/mbi.2017.8.4.12.","productDescription":"8 p.","startPage":"567","endPage":"574","ipdsId":"IP-082653","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":469544,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2017.8.4.12","text":"Publisher Index Page"},{"id":346620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e5c51be4b05fe04cd1c9d8","contributors":{"authors":[{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":712539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tix, John 0000-0002-9531-5624 jtix@usgs.gov","orcid":"https://orcid.org/0000-0002-9531-5624","contributorId":197014,"corporation":false,"usgs":true,"family":"Tix","given":"John","email":"jtix@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":712540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smerud, Justin R. 0000-0003-4385-7437 jrsmerud@usgs.gov","orcid":"https://orcid.org/0000-0003-4385-7437","contributorId":5031,"corporation":false,"usgs":true,"family":"Smerud","given":"Justin","email":"jrsmerud@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":712541,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":712542,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fredricks, Kim T. 0000-0003-2363-7891 kfredricks@usgs.gov","orcid":"https://orcid.org/0000-0003-2363-7891","contributorId":173994,"corporation":false,"usgs":true,"family":"Fredricks","given":"Kim","email":"kfredricks@usgs.gov","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":712543,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Amberg, Jon 0000-0002-8351-4861 jamberg@usgs.gov","orcid":"https://orcid.org/0000-0002-8351-4861","contributorId":149785,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":712544,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Suski, C. D.","contributorId":190151,"corporation":false,"usgs":false,"family":"Suski","given":"C.","middleInitial":"D.","affiliations":[],"preferred":false,"id":712545,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wakeman, Robert","contributorId":197015,"corporation":false,"usgs":false,"family":"Wakeman","given":"Robert","email":"","affiliations":[],"preferred":false,"id":712546,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70192240,"text":"70192240 - 2017 - Uptake and disposition of select pharmaceuticals by bluegill exposed at constant concentrations in a flow-through aquatic exposure system","interactions":[],"lastModifiedDate":"2017-10-24T12:16:37","indexId":"70192240","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Uptake and disposition of select pharmaceuticals by bluegill exposed at constant concentrations in a flow-through aquatic exposure system","docAbstract":"<p><span>The increasing use of pharmaceuticals has led to their subsequent input into and release from wastewater treatment plants, with corresponding discharge into surface waters that may subsequently exert adverse effects upon aquatic organisms. Although the distribution of pharmaceuticals in surface water has been extensively studied, the details of uptake, internal distribution, and kinetic processing of pharmaceuticals in exposed fish have received less attention. For this research, we investigated the uptake, disposition, and toxicokinetics of five pharmaceuticals (diclofenac, methocarbamol, rosuvastatin, sulfamethoxazole, and temazepam) in bluegill sunfish (</span><i>Lepomis macrochirus</i><span>) exposed to environmentally relevant concentrations (1000–4000 ng L</span><sup>–1</sup><span>) in a flow-through exposure system. Temazepam and methocarbamol were consistently detected in bluegill biological samples with the highest concentrations in bile of 4, 940, and 180 ng g</span><sup>–1</sup><span>, respectively, while sulfamethoxazole, diclofenac, and rosuvastatin were only infrequently detected. Over 30-day exposures, the relative magnitude of mean concentrations of temazepam and methocarbamol in biological samples generally followed the order: bile ≫ gut &gt; liver and brain &gt; muscle, plasma, and gill. Ranges of bioconcentration factors (BCFs) in different biological samples were 0.71–3960 and 0.13–48.6 for temazepam and methocarbamol, respectively. Log BCFs were statistically positively correlated to pH adjusted log<span>&nbsp;</span></span><i>K</i><sub>ow</sub><span><span>&nbsp;</span>(that is, log<span>&nbsp;</span></span><i>D</i><sub>ow</sub><span>), with the strongest relations for liver and brain (</span><i>r</i><sup>2</sup><span><span>&nbsp;</span>= 0.92 and 0.99, respectively), implying that bioconcentration patterns of ionizable pharmaceuticals depend on molecular status, that is, whether a pharmaceutical is un-ionized or ionized at ambient tissue pH. Methocarbamol and temazepam underwent rapid uptake and elimination in bluegill biological compartments with uptake rate constants (</span><i>K</i><sub>u</sub><span>) and elimination rate constants (</span><i>K</i><sub>e</sub><span>) at 0.0066–0.0330 h</span><sup>–1</sup><span><span>&nbsp;</span>and 0.0075–0.0384 h</span><sup>–1</sup><span>, respectively, and half-lives at 18.1–92.4 h. Exposure to mixtures of diclofenac, methocarbamol, sulfamethoxazole, and temazepam had little or no influence on the uptake and elimination rates, suggesting independent multiple uptake and disposition behaviors of pharmaceuticals by fish would occur when exposed to effluent-influenced surface waters.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.7b00604","usgsCitation":"Zhao, J., Furlong, E.T., Schoenfuss, H.L., Kolpin, D.W., Bird, K.L., Feifarek, D.J., Schwab, E.A., and Ying, G., 2017, Uptake and disposition of select pharmaceuticals by bluegill exposed at constant concentrations in a flow-through aquatic exposure system: Environmental Science & Technology, v. 51, no. 8, p. 4434-4444, https://doi.org/10.1021/acs.est.7b00604.","productDescription":"11 p.","startPage":"4434","endPage":"4444","ipdsId":"IP-075600","costCenters":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"links":[{"id":347221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-29","publicationStatus":"PW","scienceBaseUri":"59f05120e4b0220bbd9a1d7b","contributors":{"authors":[{"text":"Zhao, Jian-Liang","contributorId":198055,"corporation":false,"usgs":false,"family":"Zhao","given":"Jian-Liang","email":"","affiliations":[],"preferred":false,"id":714955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":714954,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoenfuss, Heiko L.","contributorId":76409,"corporation":false,"usgs":false,"family":"Schoenfuss","given":"Heiko","email":"","middleInitial":"L.","affiliations":[{"id":13317,"text":"Saint Cloud State University","active":true,"usgs":false}],"preferred":false,"id":714956,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714959,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bird, Kyle L.","contributorId":198056,"corporation":false,"usgs":false,"family":"Bird","given":"Kyle","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":714957,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Feifarek, David J.","contributorId":198057,"corporation":false,"usgs":false,"family":"Feifarek","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714958,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schwab, Eric A. easchwab@usgs.gov","contributorId":4222,"corporation":false,"usgs":true,"family":"Schwab","given":"Eric","email":"easchwab@usgs.gov","middleInitial":"A.","affiliations":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":714960,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ying, Guang-Guo","contributorId":198058,"corporation":false,"usgs":false,"family":"Ying","given":"Guang-Guo","email":"","affiliations":[],"preferred":false,"id":714961,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
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