{"pageNumber":"419","pageRowStart":"10450","pageSize":"25","recordCount":68873,"records":[{"id":70176947,"text":"sim3368 - 2016 - Sedimentation survey of Lago Caonillas, Utuado, Puerto Rico, September–November 2012","interactions":[],"lastModifiedDate":"2016-11-09T10:18:09","indexId":"sim3368","displayToPublicDate":"2016-11-09T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3368","title":"Sedimentation survey of Lago Caonillas, Utuado, Puerto Rico, September–November 2012","docAbstract":"<p>During September–November 2012, the U.S. Geological Survey, in cooperation with the Puerto Rico Aqueduct and Sewer Authority, conducted a sedimentation survey of Lago Caonillas to estimate current (2012) reservoir storage capacity and the recent (2000–2012) reservoir sedimentation rate by comparing the 2012 bathymetric survey data with the February 2000 data. The Lago Caonillas storage capacity, which was 42.27 million cubic meters in February 2000, decreased to 39.55 million cubic meters by September–November 2012. The intersurvey (2000–2012) storage capacity loss was about 6 percent, corresponding to a decrease of about 0.5 percent per year; this loss represents a reservoir sedimentation rate of about 226,670 cubic meters per year between 2000 and 2012. On a long-term basis, however, the sedimentation rate has remained nearly constant, decreasing from about 257,500 to 251,720 cubic meters per year during 1948–2000 and 1948–2012, respectively. Most of the sediment accumulation and associated storage capacity loss of Lago Caonillas has occurred within the eastern and Río Caonillas branches of the reservoir. In the vicinity of the Caonillas Dam, minor sediment deposition and scour have occurred. The Lago Caonillas drainage area sediment yield has decreased by about 2 percent since the previous survey, from 1,266 cubic meters per square kilometer per year in 2000 to 1,237 cubic meters per square kilometer per year in 2012. If the long-term sedimentation rate of 251,720 cubic meters per year remains constant, the useful life of Lago Caonillas may end in about 2169.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3368","collaboration":"Prepared in cooperation with the Puerto Rico Aqueduct and Sewer Authority","usgsCitation":"Soler-López, L.R., 2016, Sedimentation survey of Lago Caonillas, Utuado, Puerto Rico, September–November 2012: U.S. Geological Survey Scientific Investigations Map 3368, 1 sheet, https://dx.doi.org/10.3133/sim3368.","productDescription":"29.00 x 30.83 inches","numberOfPages":"1","onlineOnly":"Y","ipdsId":"IP-055426","costCenters":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"links":[{"id":438510,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74M92NT","text":"USGS data release","linkHelpText":"Spatial Data for Sedimentation Survey of Lago Caonillas, Utuado, Puerto Rico, SeptemberNovember 2012"},{"id":330594,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3368/sim3368.pdf","text":"Sheet 1","size":"1.08 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3368"},{"id":330593,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3368/coverthb.jpg"},{"id":330666,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F74M92NT","text":"USGS data release - Spatial Data for Sedimentation Survey of Lago Caonillas, Utuado, Puerto Rico, September–November 2012"}],"country":"United States","state":"Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -66.8,\n              18.2\n            ],\n            [\n              -66.8,\n              18.5\n            ],\n            [\n              -66.5,\n              18.5\n            ],\n            [\n              -66.5,\n              18.2\n            ],\n            [\n              -66.8,\n              18.2\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director,&nbsp;Caribbean-Florida Water Science Center<br>U.S. Geological Survey<br>4446 Pet Lane, Suite 108 <br>Lutz, FL 33559<br></p><p><a href=\"http://fl.water.usgs.gov/\" data-mce-href=\"http://fl.water.usgs.gov/\">http://fl.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Introduction<br></li><li>Methods of Survey and Analysis<br></li><li>Storage Capacity, Sedimentation Rate, and Useful Life<br></li><li>Summary and Conclusions<br></li><li>Selected References<br></li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2016-11-09","noUsgsAuthors":false,"publicationDate":"2016-11-09","publicationStatus":"PW","scienceBaseUri":"582443f3e4b09065cdf3050e","contributors":{"authors":[{"text":"Soler-Lopez, Luis R. lssoler@usgs.gov","contributorId":1212,"corporation":false,"usgs":true,"family":"Soler-Lopez","given":"Luis","email":"lssoler@usgs.gov","middleInitial":"R.","affiliations":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"preferred":true,"id":650834,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70168511,"text":"sir20155142 - 2016 - Estimated use of water in the Delaware River Basin in Delaware, New Jersey, New York, and Pennsylvania, 2010","interactions":[],"lastModifiedDate":"2021-09-27T18:32:45.902579","indexId":"sir20155142","displayToPublicDate":"2016-11-07T11:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5142","title":"Estimated use of water in the Delaware River Basin in Delaware, New Jersey, New York, and Pennsylvania, 2010","docAbstract":"<p>The Delaware River Basin (DRB) was selected as a Focus Area Study in 2011 by the U.S. Geological Survey (USGS) as part of the USGS National Water Census. The National Water Census is a USGS research program that focuses on national water availability and use and then develops new water accounting tools and assesses water availability at both the regional and national scales. One of the water management needs that the DRB study addressed, and that was identified by stakeholder groups from the DRB, was to improve the integration of state water use and water-supply data and to provide the compiled water use information to basin users. This water use information was also used in the hydrologic modeling and ecological components of the study.</p><p>Instream and offstream water use was calculated for 2010 for the DRB based on information received from Delaware, New Jersey, New York, and Pennsylvania. Water withdrawal, interbasin transfers, return flow, and hydroelectric power generation release data were compiled for 11 categories by hydrologic subregion, basin, subbasin, and subwatershed. Data availability varied by state. Site-specific data were used whenever possible to calculate public supply, irrigation (golf courses, nurseries, sod farms, and crops), aquaculture, self-supplied industrial, commercial, mining, thermoelectric, and hydroelectric power withdrawals. Where site-specific data were not available, primarily for crop irrigation, livestock, and domestic use, various techniques were used to estimate water withdrawals.</p><p>Total water withdrawals in the Delaware River Basin were calculated to be about 7,130 million gallons per day (Mgal/d) in 2010. Calculations of withdrawals by source indicate that freshwater withdrawals were about 4,130 Mgal/d (58 percent of the total) and the remaining 3,000 Mgal/d (42 percent) were from saline water. Total surface-water withdrawals were calculated to be 6,590 Mgal/d, or 92 percent of the total; about 54 percent (3,590 Mgal/d) of surface water withdrawn was freshwater. Total groundwater withdrawals were calculated to be 545 Mgal/d (8 percent of the total), all of which was freshwater. During 2010, calculated withdrawals by category, in decreasing order, were: thermoelectric power, 4,910 Mgal/d; public supply, 1,490 Mgal/d; self-supplied industrial, 350 Mgal/d; irrigation, 175 Mgal/d; self-supplied domestic, 117 Mgal/d; mining, 41.3 Mgal/d; aquaculture, 19.3 Mgal/d; livestock, 6.72 Mgal/d, and commercial, 5.89 Mgal/d. The amount of instream use for hydroelectric power generation purposes in 2010 was reported to be 273 Mgal/d for the Wallenpaupack Plant and 127 Mgal/d for the Mongaup River system.</p><p>Total return flows in the DRB were 2,960 Mgal/d in 2010. Although municipal wastewater-treatment plants accounted for 539 (97 percent) of the return-flow sites, they accounted for about 70 percent of the total return flows in the DRB. There was limited information on return flows from thermoelectric power.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155142","usgsCitation":"Hutson, S.S., Linsey, K.S., Ludlow, R.A., Reyes, Betzaida, and Shourds, J.L., 2016, Estimated use of water in the Delaware River Basin in Delaware, New Jersey, New York, and Pennsylvania, 2010: U.S. Geological Survey Scientific Investigations Report 2015–5142, 76 p., https://dx.doi.org/10.3133/sir20155142.","productDescription":"Report: vii, 76 p.; 2 Appendixes; Data Release","numberOfPages":"88","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-058986","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":438513,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7TM787C","text":"USGS data release","linkHelpText":"Estimated Use of Water by Subbasin (HUC8 and HUC12) in the Delaware River Basin, 2010"},{"id":330727,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5142/sir20155142_appendix3.xlsx","text":"Appendix 3","size":"269 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2015-5142 Appendix 3","linkHelpText":"- Delaware River Basin Water Use by Subbasin, 2010"},{"id":330724,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5142/coverthb.jpg"},{"id":330725,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5142/sir20155142.pdf","text":"Report","size":"57.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5142"},{"id":330726,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5142/sir20155142_appendix2.docx","text":"Appendix 2","size":"2.49 MB docx","description":"SIR 2015-5142 Appendix 2","linkHelpText":"- Hydrologic Subbasins, Watersheds, and Subwatersheds in the Delaware River Basin"},{"id":330728,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7TM787C","text":"USGS data release","description":"USGS data release","linkHelpText":"Estimated Use of Water by Subbasin (HUC8) and Subwatershed (HUC12) in the Delaware River Basin, 2010"}],"country":"United States","state":"Delaware, New Jersey, New York, Pennsylvania","otherGeospatial":"Delaware River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.652099609375,\n              39.18117526158749\n            ],\n            [\n              -74.50927734375,\n              40.195659093364654\n            ],\n            [\n              -74.586181640625,\n              41.36856413680967\n            ],\n            [\n              -74.300537109375,\n              42.09822241118974\n            ],\n            [\n              -74.619140625,\n              42.53689200787315\n            ],\n            [\n              -75.498046875,\n              42.10637370579324\n            ],\n            [\n              -75.9375,\n              41.12074559016745\n            ],\n            [\n              -76.607666015625,\n              40.36328834091583\n            ],\n            [\n              -75.860595703125,\n              39.715638134796336\n            ],\n            [\n              -75.43212890625,\n              38.685509760012\n            ],\n            [\n              -75.069580078125,\n              38.77121637244273\n            ],\n            [\n              -74.652099609375,\n              39.18117526158749\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Coordinator—National Water Census<br> U.S. Geological Survey<br> 1770 Corporate Drive, Suite 500<br> Norcross, GA 30093</p><p>Or visit the National Water Census Web site at: <a href=\"http://water.usgs.gov/watercensus\" data-mce-href=\"http://water.usgs.gov/watercensus\">http://water.usgs.gov/watercensus</a></p>","tableOfContents":"<ul><li>Abstract&nbsp;</li><li>Introduction</li><li>Data Compilation, Sources of Information, and Methodology</li><li>Water Use</li><li>Summary</li><li>Selected References</li><li>Glossary&nbsp;</li><li>Appendix 1.&nbsp;Description of the Watershed Boundary Dataset&nbsp;</li><li>Appendix 2. Hydrologic Subbasins, Watersheds, and Subwatersheds in the Delaware River Basin</li><li>Appendix 3.&nbsp;Delaware River Basin Water Use by Subbasin</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2016-11-07","noUsgsAuthors":false,"publicationDate":"2016-11-07","publicationStatus":"PW","scienceBaseUri":"5821a0dbe4b02f1a881de95e","contributors":{"authors":[{"text":"Hutson, Susan S. sshutson@usgs.gov","contributorId":2040,"corporation":false,"usgs":true,"family":"Hutson","given":"Susan","email":"sshutson@usgs.gov","middleInitial":"S.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":620741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Linsey, Kristin S. 0000-0001-6492-7639 kslinsey@usgs.gov","orcid":"https://orcid.org/0000-0001-6492-7639","contributorId":3678,"corporation":false,"usgs":true,"family":"Linsey","given":"Kristin","email":"kslinsey@usgs.gov","middleInitial":"S.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":620740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ludlow, Russell A. 0000-0001-6483-6817 raludlow@usgs.gov","orcid":"https://orcid.org/0000-0001-6483-6817","contributorId":5820,"corporation":false,"usgs":true,"family":"Ludlow","given":"Russell","email":"raludlow@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":620742,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reyes, Betzaida 0000-0002-1398-0824 breyes@usgs.gov","orcid":"https://orcid.org/0000-0002-1398-0824","contributorId":2250,"corporation":false,"usgs":true,"family":"Reyes","given":"Betzaida","email":"breyes@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":620743,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shourds, Jennifer L. 0000-0002-7631-9734 jshourds@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-9734","contributorId":5821,"corporation":false,"usgs":true,"family":"Shourds","given":"Jennifer","email":"jshourds@usgs.gov","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":620744,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70177942,"text":"fs20163093 - 2016 - The 3D Elevation Program and America's infrastructure","interactions":[],"lastModifiedDate":"2017-01-30T11:57:27","indexId":"fs20163093","displayToPublicDate":"2016-11-07T08:45:00","publicationYear":"2016","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":"2016-3093","title":"The 3D Elevation Program and America's infrastructure","docAbstract":"<p>Infrastructure—the physical framework of transportation, energy, communications, water supply, and other systems—and construction management—the overall planning, coordination, and control of a project from beginning to end—are critical to the Nation’s prosperity. The American Society of Civil Engineers has warned that, despite the importance of the Nation’s infrastructure, it is in fair to poor condition and needs sizable and urgent investments to maintain and modernize it, and to ensure that it is sustainable and resilient. </p><p>Three-dimensional (3D) light detection and ranging (lidar) elevation data provide valuable productivity, safety, and cost-saving benefits to infrastructure improvement projects and associated construction management. By providing data to users, the 3D Elevation Program (3DEP) of the U.S. Geological Survey reduces users’ costs and risks and allows them to concentrate on their mission objectives. 3DEP includes (1) data acquisition partnerships that leverage funding, (2) contracts with experienced private mapping firms, (3) technical expertise, lidar data standards, and specifications, and (4) most important, public access to high-quality 3D elevation data. </p><p>The size and breadth of improvements for the Nation’s infrastructure and construction management needs call for an efficient, systematic approach to acquiring foundational 3D elevation data. The 3DEP approach to national data coverage will yield large cost savings over individual project-by-project acquisitions and will ensure that data are accessible for other critical applications.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163093","usgsCitation":"Lukas, Vicki, and Carswell, W.J., Jr., 2016, The 3D Elevation Program and America's infrastructure: U.S. Geological Survey Fact Sheet 2016–3093, 2 p., https://dx.doi.org/10.3133/fs20163093.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-077294","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":330670,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3093/fs20163093.pdf","text":"Report","size":"425 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3093"},{"id":330669,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3093/coverthb.jpg"}],"contact":"<p>Director, National Geospatial Program<br> U.S. Geological Survey<br> 511 National Center<br> 12201 Sunrise Valley Drive<br> Reston, VA 20192</p><p>Email: <a href=\"mailto:3DEP@usgs.gov\" data-mce-href=\"mailto:3DEP@usgs.gov\">3DEP@usgs.gov</a><br> <a href=\"http://www.usgs.gov/ngpo/\" data-mce-href=\"http://www.usgs.gov/ngpo/\">http://www.usgs.gov/ngpo/</a> <br> <a href=\"http://nationalmap.gov/3DEP/\" data-mce-href=\"http://nationalmap.gov/3DEP/\">http://nationalmap.gov/3DEP/</a></p>","tableOfContents":"<ul><li>Infrastructure Connects Us All</li><li>Uses of 3D Elevation Data</li><li>Benefits of 3D Elevation Data</li><li>Maximized Benefits and Minimized Risks</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2016-11-07","noUsgsAuthors":false,"publicationDate":"2016-11-07","publicationStatus":"PW","scienceBaseUri":"5821a0dce4b02f1a881de963","contributors":{"authors":[{"text":"Lukas, Vicki 0000-0002-3151-6689 vlukas@usgs.gov","orcid":"https://orcid.org/0000-0002-3151-6689","contributorId":2890,"corporation":false,"usgs":true,"family":"Lukas","given":"Vicki","email":"vlukas@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":652775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carswell carswell@usgs.gov","contributorId":176472,"corporation":false,"usgs":true,"family":"Carswell","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":652438,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178203,"text":"70178203 - 2016 - Stakeholder views of management and decision support tools to integrate climate change into Great Lakes Lake Whitefish management","interactions":[],"lastModifiedDate":"2018-04-24T13:40:42","indexId":"70178203","displayToPublicDate":"2016-11-07T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Stakeholder views of management and decision support tools to integrate climate change into Great Lakes Lake Whitefish management","docAbstract":"<p><span>Decision support tools can aid decision making by systematically incorporating information, accounting for uncertainties, and facilitating evaluation between alternatives. Without user buy-in, however, decision support tools can fail to influence decision-making processes. We surveyed fishery researchers, managers, and fishers affiliated with the Lake Whitefish </span><i>Coregonus clupeaformis</i><span> fishery in the 1836 Treaty Waters of Lakes Huron, Michigan, and Superior to assess opinions of current and future management needs to identify barriers to, and opportunities for, developing a decision support tool based on Lake Whitefish recruitment projections with climate change. Approximately 64% of 39 respondents were satisfied with current management, and nearly 85% agreed that science was well integrated into management programs. Though decision support tools can facilitate science integration into management, respondents suggest that they face significant implementation barriers, including lack of political will to change management and perceived uncertainty in decision support outputs. Recommendations from this survey can inform development of decision support tools for fishery management in the Great Lakes and other regions.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/03632415.2016.1232960","usgsCitation":"Lynch, A.J., Taylor, W., and McCright, A.M., 2016, Stakeholder views of management and decision support tools to integrate climate change into Great Lakes Lake Whitefish management: Fisheries, v. 41, no. 11, p. 644-652, https://doi.org/10.1080/03632415.2016.1232960.","productDescription":"9 p.","startPage":"644","endPage":"652","ipdsId":"IP-067035","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":330860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"11","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-04","publicationStatus":"PW","scienceBaseUri":"5821a0dce4b02f1a881de96d","contributors":{"authors":[{"text":"Lynch, Abigail J. 0000-0001-8449-8392 ajlynch@usgs.gov","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":5645,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","email":"ajlynch@usgs.gov","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":653320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, William W.","contributorId":113795,"corporation":false,"usgs":true,"family":"Taylor","given":"William W.","affiliations":[],"preferred":false,"id":653321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCright, Aaron M.","contributorId":176733,"corporation":false,"usgs":false,"family":"McCright","given":"Aaron","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":653322,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70179159,"text":"70179159 - 2016 - Dissolved methane in the Beaufort Sea and the Arctic Ocean, 1992-2009; sources and atmospheric flux","interactions":[],"lastModifiedDate":"2016-12-20T11:59:51","indexId":"70179159","displayToPublicDate":"2016-11-07T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Dissolved methane in the Beaufort Sea and the Arctic Ocean, 1992-2009; sources and atmospheric flux","docAbstract":"Methane concentration and isotopic composition was measured in ice-covered and ice-free waters of the Arctic Ocean during eleven surveys spanning the years of 1992-1995 and 2009. During ice-free periods, methane flux from the Beaufort shelf varies from 0.14 to 0.43 mg CH4 m-2 day-1. Maximum fluxes from localized areas of high methane concentration are up to 1.52 mg CH4 m-2 day-1.  Seasonal buildup of methane under ice can produce short-term fluxes of methane from the Beaufort shelf that varies from 0.28 to 1.01 to mg CH4 m-2 day-1.   Scaled-up estimates of minimum methane flux from the Beaufort Sea and pan-Arctic shelf for both ice-free and ice-covered periods range from 0.02 Tg CH4 yr-1 and 0.30 Tg CH4 yr-1 respectively to maximum fluxes of 0.18 Tg CH4 yr-1 and 2.2 Tg CH4 yr-1 respectively.  A methane flux of 0.36 Tg CH4 yr-1from the deep Arctic Ocean was estimated using data from 1993-94.  The flux can be as much as 2.35 Tg CH4 yr-1 estimated from maximum methane concentrations and wind speeds of 12 m/s, representing only 0.42% of the annual atmospheric methane budget of ~560 Tg CH4 yr-1.  There were no significant changes in methane fluxes during the time period of this study. Microbial methane sources predominate with minor influxes from thermogenic methane offshore Prudhoe Bay and the Mackenzie River delta and may include methane from gas hydrate. Methane oxidation is locally important on the shelf and is a methane sink in the deep Arctic Ocean.","language":"English","publisher":"Wiley","doi":"10.1002/lno.10457","usgsCitation":"Lorenson, T., Greinert, J., and Coffin, R.B., 2016, Dissolved methane in the Beaufort Sea and the Arctic Ocean, 1992-2009; sources and atmospheric flux: Limnology and Oceanography, v. 61, no. 51, p. S300-S323, https://doi.org/10.1002/lno.10457.","productDescription":"24 p.","startPage":"S300","endPage":"S323","ipdsId":"IP-079351","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470432,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.10457","text":"Publisher Index Page"},{"id":332340,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Arctic Ocean","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -163.125,\n              72.39570570653261\n            ],\n            [\n              -146.6015625,\n              70.1403642720717\n            ],\n            [\n              -136.7578125,\n              69.53451763078358\n            ],\n            [\n              -128.32031249999997,\n              70.37785394109224\n            ],\n            [\n              -117.7734375,\n              78.42019327591201\n            ],\n            [\n              -95.2734375,\n              81.20141954209073\n            ],\n            [\n              -76.2890625,\n              83.19489563661588\n            ],\n            [\n              -30.585937499999996,\n              83.82994542398042\n            ],\n            [\n              -23.90625,\n              84.89714695160268\n            ],\n            [\n              -51.67968749999999,\n              85.0511287798066\n            ],\n            [\n              -86.1328125,\n              85.11141578062661\n            ],\n            [\n              -133.2421875,\n              85.02070774312594\n            ],\n            [\n              -172.96875,\n              81.4139332828511\n            ],\n            [\n              -176.1328125,\n              71.52490903732816\n            ],\n            [\n              -161.015625,\n              71.41317683396566\n            ],\n            [\n              -163.125,\n              72.39570570653261\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"61","issue":"51","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-07","publicationStatus":"PW","scienceBaseUri":"585a51bde4b01224f329b5e5","contributors":{"authors":[{"text":"Lorenson, Thomas D.","contributorId":177573,"corporation":false,"usgs":false,"family":"Lorenson","given":"Thomas D.","affiliations":[],"preferred":false,"id":656252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greinert, Jens","contributorId":101809,"corporation":false,"usgs":true,"family":"Greinert","given":"Jens","email":"","affiliations":[],"preferred":false,"id":656253,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coffin, Richard B.","contributorId":177575,"corporation":false,"usgs":false,"family":"Coffin","given":"Richard","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":656254,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178096,"text":"ofr20161186 - 2016 - Summary of environmental flow monitoring for the Sustainable Rivers Project on the Middle Fork Willamette and McKenzie Rivers, western Oregon, 2014–15","interactions":[],"lastModifiedDate":"2016-11-08T10:34:43","indexId":"ofr20161186","displayToPublicDate":"2016-11-07T00:00:00","publicationYear":"2016","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":"2016-1186","title":"Summary of environmental flow monitoring for the Sustainable Rivers Project on the Middle Fork Willamette and McKenzie Rivers, western Oregon, 2014–15","docAbstract":"<p>This report presents the results of an ongoing environmental flow monitoring study by The Nature Conservancy (TNC), U.S. Army Corps of Engineers (USACE), and U.S. Geological Survey in support of the Sustainable Rivers Project (SRP) of TNC and USACE. The overarching goal of this study is to evaluate and characterize relations between streamflow, geomorphic processes, and black cottonwood (<i>Populus trichocarpa</i>) recruitment on the Middle Fork Willamette and McKenzie Rivers, western Oregon, that were hypothesized in earlier investigations. The SRP can use this information to plan future monitoring and scientific investigations, and to help mitigate the effects of dam operations on streamflow regimes, geomorphic processes, and biological communities, such as black cottonwood forests, in consultation with regional experts. The four tasks of this study were to:</p><ol><li>Compare the hydrograph from Water Year (WY) 2015 with hydrographs from WYs 2000–14 and the SRP flow recommendations,</li><li>Assess short-term and system-wide changes in channel features and vegetation throughout the alluvial valley section of the Middle Fork Willamette River (2005–12),</li><li>Examine changes in channel features and vegetation over two decades (1994–2014) for two short mapping zones on the Middle Fork Willamette and McKenzie Rivers, and</li><li>Complete a field investigation of summer stage and the growth of black cottonwood and other vegetation on the Middle Fork Willamette and McKenzie Rivers in summer 2015.</li></ol>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161186","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers and The Nature Conservancy","usgsCitation":"Jones, K.L., Mangano, J.F., Wallick, J.R., Bervid, H.D., Olson, Melissa, Keith, M.K., and Bach, Leslie, 2016, Summary of environmental flow monitoring for the Sustainable Rivers Project on the Middle Fork Willamette and McKenzie Rivers, western Oregon, 2014–15: U.S. Geological Survey Open-File Report 2016-1186, 91 p., https://dx.doi.org/10.3133/ofr20161186.","productDescription":"viii, 92 p.","numberOfPages":"104","onlineOnly":"Y","ipdsId":"IP-071525","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":330856,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1186/coverthb.jpg"},{"id":330857,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1186/ofr20161186.pdf","text":"Report","size":"9.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1186"}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.7,\n              43.45291889355465\n            ],\n            [\n              -123.7,\n              45.8\n            ],\n            [\n              -121.5582275390625,\n              45.8\n            ],\n            [\n              -121.5582275390625,\n              43.45291889355465\n            ],\n            [\n              -123.7,\n              43.45291889355465\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_or@usgs.gov\" data-mce-href=\"mailto:dc_or@usgs.gov\">Director</a>, Oregon Water Science Center<br> U.S. Geological Survey<br> 2130 SW 5th Avenue<br> Portland, Oregon 97201<br> <a href=\"http://or.water.usgs.gov\" data-mce-href=\"http://or.water.usgs.gov\">http://or.water.usgs.gov</a></p>","tableOfContents":"<ul><li>Significant Findings</li><li>Introduction</li><li>Study Overview</li><li>Analysis Tasks</li><li>Synthesis of Findings</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix A. Environmental Flow Monitoring Considerations for the Sustainable Rivers Project in the Willamette River Basin</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-11-07","noUsgsAuthors":false,"publicationDate":"2016-11-07","publicationStatus":"PW","scienceBaseUri":"5821a0dce4b02f1a881de971","contributors":{"authors":[{"text":"Jones, Krista L. 0000-0002-0301-4497 kljones@usgs.gov","orcid":"https://orcid.org/0000-0002-0301-4497","contributorId":4550,"corporation":false,"usgs":true,"family":"Jones","given":"Krista","email":"kljones@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mangano, Joseph F. 0000-0003-4213-8406 jmangano@usgs.gov","orcid":"https://orcid.org/0000-0003-4213-8406","contributorId":4722,"corporation":false,"usgs":true,"family":"Mangano","given":"Joseph","email":"jmangano@usgs.gov","middleInitial":"F.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652728,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wallick, J. Rose 0000-0002-9392-272X rosewall@usgs.gov","orcid":"https://orcid.org/0000-0002-9392-272X","contributorId":3583,"corporation":false,"usgs":true,"family":"Wallick","given":"J. Rose","email":"rosewall@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652727,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bervid, Heather D. 0000-0001-9632-885X","orcid":"https://orcid.org/0000-0001-9632-885X","contributorId":176732,"corporation":false,"usgs":true,"family":"Bervid","given":"Heather","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":652729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olson, Melissa","contributorId":176551,"corporation":false,"usgs":false,"family":"Olson","given":"Melissa","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":652730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keith, Mackenzie K. mkeith@usgs.gov","contributorId":4140,"corporation":false,"usgs":true,"family":"Keith","given":"Mackenzie K.","email":"mkeith@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":652731,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bach, Leslie","contributorId":176552,"corporation":false,"usgs":false,"family":"Bach","given":"Leslie","affiliations":[],"preferred":false,"id":652732,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70191521,"text":"70191521 - 2016 - Streamflow data","interactions":[],"lastModifiedDate":"2020-08-25T16:55:00.091561","indexId":"70191521","displayToPublicDate":"2016-11-06T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"13","title":"Streamflow data","docAbstract":"<p><span>Streamflow data are vital for a variety of water-resources issues, from flood warning to water supply planning. The collection of streamflow data is usually an involved and complicated process. This chapter serves as an overview of the streamflow data collection process. Readers with the need for the detailed information on the streamflow data collection process are referred to the many references noted in this chapter.</span><br></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Flood forecasting: A global perspective","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Academic Press","doi":"10.1016/B978-0-12-801884-2.00013-X","usgsCitation":"Wiche, G.J., and Holmes, R.R., 2016, Streamflow data, chap. 13 <i>of</i> Flood forecasting: A global perspective, p. 371-398, https://doi.org/10.1016/B978-0-12-801884-2.00013-X.","productDescription":"28 p.","startPage":"371","endPage":"398","ipdsId":"IP-066793","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":348996,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc9be4b06e28e9c24042","contributors":{"authors":[{"text":"Wiche, Gregg J. gjwiche@usgs.gov","contributorId":1675,"corporation":false,"usgs":true,"family":"Wiche","given":"Gregg","email":"gjwiche@usgs.gov","middleInitial":"J.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holmes, Robert R. Jr. 0000-0002-5060-3999 bholmes@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":1624,"corporation":false,"usgs":true,"family":"Holmes","given":"Robert","suffix":"Jr.","email":"bholmes@usgs.gov","middleInitial":"R.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":722458,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178179,"text":"70178179 - 2016 - Impacts of shore expansion and catchment characteristics on lacustrine thermokarst records in permafrost lowlands, Alaska Arctic Coastal Plain","interactions":[],"lastModifiedDate":"2016-11-04T14:55:21","indexId":"70178179","displayToPublicDate":"2016-11-04T15:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5224,"text":"arktos","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of shore expansion and catchment characteristics on lacustrine thermokarst records in permafrost lowlands, Alaska Arctic Coastal Plain","docAbstract":"<p><span>Arctic lowland landscapes have been modified by thermokarst lake processes throughout the Holocene. Thermokarst lakes form as a result of ice-rich permafrost degradation, and they may expand over time through thermal and mechanical shoreline erosion. We studied proximal and distal sedimentary records from a thermokarst lake located on the Arctic Coastal Plain of northern Alaska to reconstruct the impact of catchment dynamics and morphology on the lacustrine depositional environment and to quantify carbon accumulation in thermokarst lake sediments. Short cores were collected for analysis of pollen, sedimentological, and geochemical proxies. Radiocarbon and </span><sup>210</sup><span>Pb/</span><sup>137</sup><span>Cs dating, as well as extrapolation of measured historic lake expansion rates, were applied to estimate a minimum lake age of&nbsp;~1400&nbsp;calendar years BP. The pollen record is in agreement with the young lake age as it does not include evidence of the “alder high” that occurred in the region&nbsp;~4000 cal&nbsp;yr BP. The lake most likely initiated from a remnant pond in a drained thermokarst lake basin (DTLB) and deepened rapidly as evidenced by accumulation of laminated sediments. Increasing oxygenation of the water column as shown by higher Fe/Ti and Fe/S ratios in the sediment indicate shifts in ice regime with increasing water depth. More recently, the sediment source changed as the thermokarst lake expanded through lateral permafrost degradation, alternating from redeposited DTLB sediments, to increased amounts of sediment from eroding, older upland deposits, followed by a more balanced combination of both DTLB and upland sources. The characterizing shifts in sediment sources and depositional regimes in expanding thermokarst lakes were, therefore, archived in the thermokarst lake sedimentary record. This study also highlights the potential for Arctic lakes to recycle old carbon from thawing permafrost and thermokarst processes.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s41063-016-0025-0","usgsCitation":"Lenz, J., Jones, B.M., Wetterich, S., Tjallingii, R., Fritz, M., Arp, C.D., Rudaya, N., and Grosse, G., 2016, Impacts of shore expansion and catchment characteristics on lacustrine thermokarst records in permafrost lowlands, Alaska Arctic Coastal Plain: arktos, v. 2, Article 25; 15 p., https://doi.org/10.1007/s41063-016-0025-0.","productDescription":"Article 25; 15 p.","ipdsId":"IP-076197","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":462039,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s41063-016-0025-0","text":"Publisher Index Page"},{"id":330776,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -154.5721435546875,\n              70.43863810197413\n            ],\n            [\n              -154.5721435546875,\n              70.9471488208593\n            ],\n            [\n              -152.8802490234375,\n              70.9471488208593\n            ],\n            [\n              -152.8802490234375,\n              70.43863810197413\n            ],\n            [\n              -154.5721435546875,\n              70.43863810197413\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-03","publicationStatus":"PW","scienceBaseUri":"581d9e29e4b0dee4cc90cbb7","contributors":{"authors":[{"text":"Lenz, Josefine","contributorId":146181,"corporation":false,"usgs":false,"family":"Lenz","given":"Josefine","email":"","affiliations":[{"id":12916,"text":"Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":653146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":653145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wetterich, Sebastian","contributorId":146186,"corporation":false,"usgs":false,"family":"Wetterich","given":"Sebastian","email":"","affiliations":[{"id":12916,"text":"Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":653147,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tjallingii, Rik","contributorId":176700,"corporation":false,"usgs":false,"family":"Tjallingii","given":"Rik","email":"","affiliations":[],"preferred":false,"id":653148,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fritz, Michael","contributorId":176701,"corporation":false,"usgs":false,"family":"Fritz","given":"Michael","email":"","affiliations":[],"preferred":false,"id":653149,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Arp, Christopher D.","contributorId":17330,"corporation":false,"usgs":false,"family":"Arp","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":653150,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rudaya, Natalia","contributorId":176702,"corporation":false,"usgs":false,"family":"Rudaya","given":"Natalia","email":"","affiliations":[],"preferred":false,"id":653151,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Grosse, Guido","contributorId":146182,"corporation":false,"usgs":false,"family":"Grosse","given":"Guido","email":"","affiliations":[{"id":12916,"text":"Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":653152,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70178178,"text":"70178178 - 2016 - Subsea ice-bearing permafrost on the U.S. Beaufort Margin: 1. Minimum seaward extent defined from multichannel seismic reflection data","interactions":[],"lastModifiedDate":"2017-05-18T11:07:17","indexId":"70178178","displayToPublicDate":"2016-11-04T15:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Subsea ice-bearing permafrost on the U.S. Beaufort Margin: 1. Minimum seaward extent defined from multichannel seismic reflection data","docAbstract":"<p><span>Subsea ice-bearing permafrost (IBPF) and associated gas hydrate in the Arctic have been subject to a warming climate and saline intrusion since the last transgression at the end of the Pleistocene. The consequent degradation of IBPF is potentially associated with significant degassing of dissociating gas hydrate deposits. Previous studies interpreted the distribution of subsea permafrost on the U.S. Beaufort continental shelf based on geographically sparse data sets and modeling of expected thermal history. The most cited work projects subsea permafrost to the shelf edge (∼100 m isobath). This study uses a compilation of stacking velocity analyses from ∼100,000 line-km of industry-collected multichannel seismic reflection data acquired over 57,000 km</span><sup>2</sup><span> of the U.S. Beaufort shelf to delineate continuous subsea IBPF. Gridded average velocities of the uppermost 750 ms two-way travel time range from 1475 to 3110 m s</span><sup>−1</sup><span>. The monotonic, cross-shore pattern in velocity distribution suggests that the seaward extent of continuous IBPF is within 37 km of the modern shoreline at water depths &lt; 25 m. These interpretations corroborate recent Beaufort seismic refraction studies and provide the best, margin-scale evidence that continuous subsea IBPF does not currently extend to the northern limits of the continental shelf.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2016GC006584","usgsCitation":"Brothers, L.L., Herman, B.M., Hart, P.E., and Ruppel, C., 2016, Subsea ice-bearing permafrost on the U.S. Beaufort Margin: 1. Minimum seaward extent defined from multichannel seismic reflection data: Geochemistry, Geophysics, Geosystems, v. 17, no. 11, p. 4354-4365, https://doi.org/10.1002/2016GC006584.","startPage":"4354","endPage":"4365","ipdsId":"IP-074615","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470436,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2016gc006584","text":"External Repository"},{"id":330775,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"11","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-04","publicationStatus":"PW","scienceBaseUri":"581d9e2ae4b0dee4cc90cbbb","contributors":{"authors":[{"text":"Brothers, Laura L. 0000-0003-2986-5166 lbrothers@usgs.gov","orcid":"https://orcid.org/0000-0003-2986-5166","contributorId":176698,"corporation":false,"usgs":true,"family":"Brothers","given":"Laura","email":"lbrothers@usgs.gov","middleInitial":"L.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":653141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herman, Bruce M.","contributorId":176704,"corporation":false,"usgs":false,"family":"Herman","given":"Bruce","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":653142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":653143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruppel, Carolyn D. 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":145770,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn D.","email":"cruppel@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":653144,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178116,"text":"70178116 - 2016 - Deposition, accumulation, and alteration of Cl−, NO3−, ClO4− and ClO3− salts in a hyper-arid polar environment: Mass balance and isotopic constraints","interactions":[],"lastModifiedDate":"2018-08-06T13:08:45","indexId":"70178116","displayToPublicDate":"2016-11-03T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Deposition, accumulation, and alteration of Cl<sup>−</sup>, NO<sub>3</sub><sup>−</sup>, ClO<sub>4</sub><sup>−</sup> and ClO<sub>3</sub><sup>−</sup> salts in a hyper-arid polar environment: Mass balance and isotopic constraints","title":"Deposition, accumulation, and alteration of Cl−, NO3−, ClO4− and ClO3− salts in a hyper-arid polar environment: Mass balance and isotopic constraints","docAbstract":"<p><span>The salt fraction in permafrost soils/sediments of the McMurdo Dry Valleys (MDV) of Antarctica can be used as a proxy for cold desert geochemical processes and paleoclimate reconstruction. Previous analyses of the salt fraction in MDV permafrost soils have largely been conducted in coastal regions where permafrost soils are variably affected by aqueous processes and mixed inputs from marine and stratospheric sources. We expand upon this work by evaluating permafrost soil/sediments in University Valley, located in the ultraxerous zone where both liquid water transport and marine influences are minimal. We determined the abundances of Cl</span><sup>−</sup><span>, NO</span><sub>3</sub><sup>−</sup><span>, ClO</span><sub>4</sub><sup>−</sup><span> and ClO</span><sub>3</sub><sup>−</sup><span> in dry and ice-cemented soil/sediments, snow and glacier ice, and also characterized Cl</span><sup>−</sup><span> and NO</span><sub>3</sub><sup>−</sup><span>isotopically. The data are not consistent with salt deposition in a sublimation till, nor with nuclear weapon testing fall-out, and instead point to a dominantly stratospheric source and to varying degrees of post depositional transformation depending on the substrate, from minimal alteration in bare soils to significant alteration (photodegradation and/or volatilization) in snow and glacier ice. Ionic abundances in the dry permafrost layer indicate limited vertical transport under the current climate conditions, likely due to percolation of snowmelt. Subtle changes in ClO</span><sub>4</sub><sup>−</sup><span>/NO</span><sub>3</sub><sup>−</sup><span> ratios and NO</span><sub>3</sub><sup>−</sup><span> isotopic composition with depth and location may reflect both transport related fractionation and depositional history. Low molar ratios of ClO</span><sub>3</sub><sup>−</sup><span>/ClO</span><sub>4</sub><sup>−</sup><span> in surface soils compared to deposition and other arid systems suggest significant post depositional loss of ClO</span><sub>3</sub><sup>−</sup><span>, possibly due to reduction by iron minerals, which may have important implications for oxy-chlorine species on Mars. Salt accumulation varies with distance along the valley and apparent accumulation times based on multiple methods range from ∼10 to 30&nbsp;kyr near the glacier to 70–200&nbsp;kyr near the valley mouth. The relatively young age of the salts and relatively low and homogeneous anion concentrations in the ice-cemented sediments point to either a mechanism of recent salt removal, or to relatively modern permafrost soils (&lt;1&nbsp;million&nbsp;years). Together, our results show that near surface salts in University Valley serve as an end-member of stratospheric sources not subject to biological processes or extensive remobilization.</span></p>","language":"English","publisher":"Geochemical Society","publisherLocation":"New York, NY","doi":"10.1016/j.gca.2016.03.012","usgsCitation":"Jackson, A., Davila, A.F., Böhlke, J., Sturchio, N.C., Sevanthi, R., Estrada, N., Brundrett, M., Lacelle, D., McKay, C.P., Poghosyan, A., Pollard, W., and Zacny, K., 2016, Deposition, accumulation, and alteration of Cl−, NO3−, ClO4− and ClO3− salts in a hyper-arid polar environment: Mass balance and isotopic constraints: Geochimica et Cosmochimica Acta, v. 182, p. 197-215, https://doi.org/10.1016/j.gca.2016.03.012.","productDescription":"18 p.","startPage":"197","endPage":"215","ipdsId":"IP-073229","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":470437,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2016.03.012","text":"Publisher Index Page"},{"id":330687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica, University Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              160.666667,\n              -77.845833\n            ],\n            [\n              160.666667,\n              -77.911111\n            ],\n            [\n              160.779167,\n              -77.911111\n            ],\n            [\n              160.779167,\n              -77.845833\n            ],\n            [\n              160.666667,\n              -77.845833\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"182","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"581c4cc1e4b09688d6e90fa7","contributors":{"authors":[{"text":"Jackson, Andrew","contributorId":176588,"corporation":false,"usgs":false,"family":"Jackson","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":652873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davila, Alfonso F.","contributorId":16282,"corporation":false,"usgs":true,"family":"Davila","given":"Alfonso","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":652874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Böhlke, John Karl 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":1285,"corporation":false,"usgs":true,"family":"Böhlke","given":"John Karl","email":"jkbohlke@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - 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,{"id":70178123,"text":"70178123 - 2016 - Spatial and temporal variability of contaminants within estuarine sediments and native Olympia oysters: A contrast between a developed and an undeveloped estuary","interactions":[],"lastModifiedDate":"2016-11-03T11:36:54","indexId":"70178123","displayToPublicDate":"2016-11-03T00:00:00","publicationYear":"2016","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":"Spatial and temporal variability of contaminants within estuarine sediments and native Olympia oysters: A contrast between a developed and an undeveloped estuary","docAbstract":"<p><span>Chemical contaminants can be introduced into estuarine and marine ecosystems from a variety of sources including wastewater, agriculture and forestry practices, point and non-point discharges, runoff from industrial, municipal, and urban lands, accidental spills, and atmospheric deposition. The diversity of potential sources contributes to the likelihood of contaminated marine waters and sediments and increases the probability of uptake by marine organisms. Despite widespread recognition of direct and indirect pathways for contaminant deposition and organismal exposure in coastal systems, spatial and temporal variability in contaminant composition, deposition, and uptake patterns are still poorly known. We investigated these patterns for a suite of persistent legacy contaminants including polychlorinated biphenyls (PCBs) and polybrominated diphenyl ethers (PBDEs) and chemicals of emerging concern including pharmaceuticals within two Oregon coastal estuaries (Coos and Netarts Bays). In the more urbanized Coos Bay, native Olympia oyster (</span><i>Ostrea lurida</i><span>) tissue had approximately twice the number of PCB congeners at over seven times the total concentration, yet fewer PBDEs at one-tenth the concentration as compared to the more rural Netarts Bay. Different pharmaceutical suites were detected during each sampling season. Variability in contaminant types and concentrations across seasons and between species and media (organisms versus sediment) indicates the limitation of using indicator species and/or sampling annually to determine contaminant loads at a site or for specific species. The results indicate the prevalence of legacy contaminants and CECs in relatively undeveloped coastal environments highlighting the need to improve policy and management actions to reduce contaminant releases into estuarine and marine waters and to deal with legacy compounds that remain long after prohibition of use. Our results point to the need for better understanding of the ecological and human health risks of exposure to the diverse cocktail of pollutants and harmful compounds that will continue to leach from estuarine sediments over time.</span></p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.scitotenv.2016.03.043","collaboration":"Portland State University, Oregon Water Science Center, Oregon Department of Environmental Quality","usgsCitation":"Granek, E.F., Conn, K., Nilsen, E.B., Pillsbury, L., Strecker, A.L., Rumrill, S., and Fish, W., 2016, Spatial and temporal variability of contaminants within estuarine sediments and native Olympia oysters: A contrast between a developed and an undeveloped estuary: Science of the Total Environment, v. 557-558, p. 869-879, https://doi.org/10.1016/j.scitotenv.2016.03.043.","productDescription":"11 p.","startPage":"869","endPage":"879","ipdsId":"IP-070780","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":488517,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pdxscholar.library.pdx.edu/esm_fac/144","text":"External Repository"},{"id":330690,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.57809448242186,\n              43.15159875016117\n            ],\n            [\n              -124.57809448242186,\n              43.555515149559746\n            ],\n            [\n              -123.760986328125,\n              43.555515149559746\n            ],\n            [\n              -123.760986328125,\n              43.15159875016117\n    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,{"id":70178127,"text":"70178127 - 2016 - Roost site selection by ring-billed and herring gulls","interactions":[],"lastModifiedDate":"2016-11-03T12:38:30","indexId":"70178127","displayToPublicDate":"2016-11-03T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Roost site selection by ring-billed and herring gulls","docAbstract":"<p><span>Gulls (</span><i>Larus</i><span> spp.) commonly roost in large numbers on inland and coastal waters, yet there is little information on how or where gulls choose sites for roosting. Roost site selection can lead to water quality degradation or aviation hazards when roosts are formed on water supply reservoirs or are close to airports. Harassment programs are frequently initiated to move or relocate roosting gulls but often have mixed results because gulls are reluctant to leave or keep returning. As such, knowledge of gull roost site selection and roosting ecology has applied and ecological importance. We used satellite telemetry and an information-theoretic approach to model seasonal roost selection of ring-billed (</span><i>L. delawarensis</i><span>) and herring gulls (</span><i>L. argentatus</i><span>) in Massachusetts, USA. Our results indicated that ring-billed gulls preferred freshwater roosts and will use a variety of rivers, lakes, and reservoirs. Herring gulls regularly roosted on fresh water but used salt water roosts more often than ring-billed gulls and also roosted on a variety of land habitats. Roost modeling showed that herring and ring-billed gulls selected inland fresh water roosts based on size of the water body and proximity to their last daytime location; they selected the largest roost closest to where they ended the day. Management strategies to reduce or eliminate roosting gulls could identify and try to eliminate other habitat variables (e.g., close-by foraging sites) that are attracting gulls before attempting to relocate or redistribute (e.g., through hazing programs) roosting birds.</span></p>","language":"English","publisher":"Wildlife Society","publisherLocation":"Menasha, WI","doi":"10.1002/jwmg.1066","usgsCitation":"Clark, D.E., DeStefano, S., MacKenzie, K.G., Koenen, K.K., and Whitney, J.J., 2016, Roost site selection by ring-billed and herring gulls: Journal of Wildlife Management, v. 80, no. 4, p. 708-719, https://doi.org/10.1002/jwmg.1066.","productDescription":"12 p.","startPage":"708","endPage":"719","ipdsId":"IP-052929","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":330694,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","county":"Hampden County, Hampshire County, Franklin County, Worcester County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-72.9302,42.738],[-72.9077,42.7376],[-72.8438,42.7365],[-72.61,42.7309],[-72.4566,42.7276],[-72.3487,42.7247],[-72.2832,42.7229],[-72.1097,42.7183],[-71.9287,42.713],[-71.8994,42.7121],[-71.8969,42.7037],[-71.8743,42.6869],[-71.8699,42.6833],[-71.8656,42.6842],[-71.8637,42.6792],[-71.8574,42.6752],[-71.8561,42.6679],[-71.8585,42.6338],[-71.8448,42.6379],[-71.7943,42.6367],[-71.775,42.6363],[-71.775,42.644],[-71.6646,42.6115],[-71.6757,42.5519],[-71.6787,42.5301],[-71.6358,42.5238],[-71.6389,42.5315],[-71.6364,42.5347],[-71.6358,42.5397],[-71.6234,42.5515],[-71.6227,42.552],[-71.6209,42.5524],[-71.6203,42.5524],[-71.6103,42.5465],[-71.6078,42.5452],[-71.5947,42.5434],[-71.5929,42.5443],[-71.5804,42.5502],[-71.5393,42.5429],[-71.5319,42.5202],[-71.5294,42.5193],[-71.5437,42.5002],[-71.5604,42.4748],[-71.5436,42.4666],[-71.5591,42.4121],[-71.5852,42.4071],[-71.6045,42.3975],[-71.5802,42.3871],[-71.6081,42.3707],[-71.6032,42.3675],[-71.6069,42.3616],[-71.61,42.358],[-71.6261,42.3493],[-71.6174,42.3416],[-71.6044,42.3371],[-71.6044,42.3312],[-71.5975,42.3212],[-71.5851,42.3112],[-71.5708,42.3198],[-71.5498,42.3271],[-71.5312,42.3285],[-71.5163,42.3303],[-71.5082,42.3276],[-71.4865,42.3303],[-71.4846,42.3208],[-71.4859,42.3103],[-71.5051,42.2731],[-71.5057,42.2681],[-71.5057,42.2644],[-71.5076,42.2635],[-71.5144,42.2676],[-71.5225,42.2662],[-71.5324,42.2662],[-71.5404,42.2626],[-71.5448,42.2644],[-71.5534,42.2676],[-71.5609,42.2676],[-71.5869,42.2594],[-71.603,42.2171],[-71.5831,42.1949],[-71.572,42.194],[-71.5726,42.1922],[-71.5565,42.1913],[-71.5558,42.1822],[-71.5391,42.1895],[-71.5076,42.1886],[-71.5026,42.1913],[-71.497,42.1663],[-71.4778,42.1654],[-71.4778,42.1568],[-71.4779,42.1318],[-71.5007,42.1177],[-71.5001,42.1141],[-71.5026,42.1118],[-71.4989,42.1036],[-71.4952,42.1014],[-71.4983,42.095],[-71.4983,42.0169],[-71.5366,42.0159],[-71.5588,42.0153],[-71.6681,42.0122],[-71.7979,42.0089],[-71.7991,42.0238],[-71.8856,42.0254],[-71.9436,42.0264],[-71.9696,42.0274],[-71.9763,42.0277],[-72.003,42.0291],[-72.0814,42.0287],[-72.1023,42.0295],[-72.1358,42.0307],[-72.1364,42.0308],[-72.2322,42.0312],[-72.2934,42.0317],[-72.3082,42.0316],[-72.349,42.0325],[-72.4476,42.0343],[-72.4522,42.0344],[-72.4588,42.0343],[-72.4744,42.0344],[-72.5094,42.0349],[-72.5263,42.035],[-72.5732,42.0301],[-72.5848,42.0248],[-72.604,42.0252],[-72.6071,42.0253],[-72.6095,42.0307],[-72.6399,42.0316],[-72.6802,42.0351],[-72.7077,42.0371],[-72.7574,42.0362],[-72.7565,42.0314],[-72.7572,42.0287],[-72.7596,42.026],[-72.7634,42.0234],[-72.7686,42.0043],[-72.8182,41.9979],[-72.8168,42.0164],[-72.8155,42.0377],[-72.899,42.0379],[-72.9398,42.0379],[-72.9688,42.0385],[-73.0087,42.0395],[-73.0405,42.0403],[-73.0482,42.0405],[-73.0517,42.0405],[-73.0568,42.0479],[-73.0556,42.0534],[-73.0551,42.0579],[-73.0576,42.0593],[-73.0595,42.0602],[-73.0608,42.0629],[-73.0597,42.0674],[-73.0622,42.0706],[-73.0733,42.0945],[-73.0747,42.1022],[-73.076,42.1058],[-73.0748,42.109],[-73.0724,42.1118],[-73.0627,42.1178],[-73.0634,42.1219],[-73.0653,42.1264],[-73.0673,42.1305],[-73.068,42.1354],[-73.0687,42.1386],[-73.0694,42.1427],[-73.0701,42.145],[-73.0708,42.1481],[-73.0348,42.1436],[-73.0049,42.2498],[-73.0018,42.2512],[-73.0006,42.3121],[-73.0031,42.3098],[-73.0061,42.3047],[-73.0091,42.3042],[-73.0161,42.3105],[-73.0198,42.3082],[-73.0235,42.3095],[-73.0272,42.3077],[-73.0385,42.3144],[-73.0405,42.3207],[-73.0455,42.3188],[-73.0461,42.3211],[-73.048,42.322],[-73.0498,42.321],[-73.0631,42.3291],[-73.0679,42.3808],[-73.0656,42.389],[-73.0114,42.3797],[-72.9993,42.423],[-72.989,42.4635],[-72.9837,42.4768],[-72.9682,42.5401],[-72.9788,42.5414],[-72.9754,42.5559],[-72.9504,42.6417],[-72.9525,42.6507],[-72.9544,42.6512],[-72.9557,42.6552],[-72.9547,42.6648],[-72.9566,42.6666],[-72.9603,42.6675],[-72.9628,42.6661],[-72.964,42.6642],[-72.9708,42.6637],[-72.9745,42.6609],[-72.977,42.6609],[-72.9815,42.665],[-72.9877,42.6667],[-72.9941,42.6721],[-72.9954,42.6739],[-72.991,42.6744],[-72.9885,42.6749],[-72.9886,42.6781],[-72.9762,42.6791],[-72.9775,42.6841],[-72.9745,42.6887],[-72.9632,42.6874],[-72.9571,42.6902],[-72.9533,42.6903],[-72.9509,42.6958],[-72.9535,42.6985],[-72.9486,42.704],[-72.9542,42.7048],[-72.9978,42.7011],[-73.0228,42.7027],[-73.023,42.7397],[-72.9302,42.738]]]},\"properties\":{\"name\":\"Franklin\",\"state\":\"MA\"}}]}","volume":"80","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-28","publicationStatus":"PW","scienceBaseUri":"581c4cc0e4b09688d6e90f99","contributors":{"authors":[{"text":"Clark, Daniel E.","contributorId":166686,"corporation":false,"usgs":false,"family":"Clark","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":652905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeStefano, Stephen 0000-0003-2472-8373 destef@usgs.gov","orcid":"https://orcid.org/0000-0003-2472-8373","contributorId":166706,"corporation":false,"usgs":true,"family":"DeStefano","given":"Stephen","email":"destef@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":652900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacKenzie, Kenneth G.","contributorId":166688,"corporation":false,"usgs":false,"family":"MacKenzie","given":"Kenneth","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":652906,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koenen, Kiana K. G.","contributorId":34313,"corporation":false,"usgs":true,"family":"Koenen","given":"Kiana","email":"","middleInitial":"K. G.","affiliations":[],"preferred":false,"id":652907,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitney, Jillian J.","contributorId":166687,"corporation":false,"usgs":false,"family":"Whitney","given":"Jillian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":652908,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178064,"text":"70178064 - 2016 - Nitrate removal from agricultural drainage ditch sediments with amendments of organic carbon: Potential for an innovative best management practice","interactions":[],"lastModifiedDate":"2018-02-13T10:25:23","indexId":"70178064","displayToPublicDate":"2016-11-03T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3728,"text":"Water, Air, & Soil Pollution","onlineIssn":"1573-2932","printIssn":"0049-6979","active":true,"publicationSubtype":{"id":10}},"title":"Nitrate removal from agricultural drainage ditch sediments with amendments of organic carbon: Potential for an innovative best management practice","docAbstract":"<p><span>Agricultural fertilizer applications have resulted in loading of nutrients to agricultural drainage ditches in the Lower Mississippi Alluvial Valley. The purpose of this study was to determine effects of dissolved organic carbon (DOC) and particulate organic carbon (POC) amendments on nitrate-nitrogen (NO</span><sub>3</sub><sup>−</sup><span>-N) removal from overlying water, pore water, and sediment of an agricultural drainage ditch. Two experiments were conducted. In experiment 1, control (i.e., no amendment), DOC, and POC treatments were applied in laboratory microcosms for time intervals of 3, 7, 14, and 28&nbsp;days. In experiment 2, control, DOC, and POC treatments were applied in microcosms at C/N ratios of 5:1, 10:1, 15:1, and 20:1. There were statistically significant effects of organic carbon amendments in experiment 1 (</span><i class=\"EmphasisTypeItalic \">F</i><sub>2,71</sub><span> = 27.1, </span><i class=\"EmphasisTypeItalic \">P</i><span> &lt; 0.001) and experiment 2 (</span><i class=\"EmphasisTypeItalic \">F</i><sub>2,53</sub><span> = 39.1, </span><i class=\"EmphasisTypeItalic \">P</i><span> &lt; 0.001), time (</span><i class=\"EmphasisTypeItalic \">F</i><sub>1,71</sub><span> = 14.5, </span><i class=\"EmphasisTypeItalic \">P</i><span> &lt; 0.001) in experiment 1, and C/N ratio (</span><i class=\"EmphasisTypeItalic \">F</i><sub>1,53</sub><span> = 36.5, </span><i class=\"EmphasisTypeItalic \">P</i><span> &lt; 0.001) in experiment 2. NO</span><sub>3</sub><sup>−</sup><span>-N removal varied from 60 to 100&nbsp;% in overlying water among all treatments. The lowest NO</span><sub>3</sub><sup>−</sup><span>-N removals in experiment 1 were observed in the control at 14 and 28&nbsp;days, which were significantly less than in DOC and POC 14- and 28-day treatments. In experiment 2, significantly less NO</span><sub>3</sub><sup>−</sup><span>-N was removed in overlying water of the control compared to DOC and POC treatments at all C/N ratios. Amendments of DOC and POC made to drainage ditch sediment: (1) increased NO</span><sub>3</sub><sup>−</sup><span>-N removal, especially over longer time intervals (14 to 28&nbsp;days); (2) increased NO</span><sub>3</sub><sup>−</sup><span>-N removal, regardless of C/N ratio; and (3) NO</span><sub>3</sub><sup>−</sup><span>-N removal was best at a 5:1 C/N ratio. This study provides support for continued investigation on the use of organic carbon amendments as a best management practice for NO</span><sub>3</sub><sup>−</sup><span>-N removal in agricultural drainage ditches.</span></p>","language":"English","publisher":"Kluwer Academic Publishers","doi":"10.1007/s11270-016-3075-9","usgsCitation":"Faust, D.R., Kröger, R., Miranda, L.E., and Rush, S.A., 2016, Nitrate removal from agricultural drainage ditch sediments with amendments of organic carbon: Potential for an innovative best management practice: Water, Air, & Soil Pollution, v. 227, Article 378: 11 p., https://doi.org/10.1007/s11270-016-3075-9.","productDescription":"Article 378: 11 p.","ipdsId":"IP-063995","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":330676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"227","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-21","publicationStatus":"PW","scienceBaseUri":"581c4cc2e4b09688d6e90faf","contributors":{"authors":[{"text":"Faust, Derek R.","contributorId":68232,"corporation":false,"usgs":true,"family":"Faust","given":"Derek","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":652701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kröger, Robert","contributorId":146206,"corporation":false,"usgs":false,"family":"Kröger","given":"Robert","affiliations":[{"id":16626,"text":"Assistant Professor, Aquatic Sciences, College of Forest Resources, Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":652702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":652690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rush, Scott A.","contributorId":127332,"corporation":false,"usgs":false,"family":"Rush","given":"Scott","email":"","middleInitial":"A.","affiliations":[{"id":6778,"text":"University of Windsor, Windsor, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":652703,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178094,"text":"70178094 - 2016 - A-DROP: A predictive model for the formation of oil particle aggregates (OPAs)","interactions":[],"lastModifiedDate":"2019-05-14T08:51:12","indexId":"70178094","displayToPublicDate":"2016-11-03T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"A-DROP: A predictive model for the formation of oil particle aggregates (OPAs)","docAbstract":"<p><span>Oil–particle interactions play a major role in removal of free oil from the water column. We present a new conceptual–numerical model, A-DROP, to predict oil amount trapped in oil–particle aggregates. A new conceptual formulation of oil–particle coagulation efficiency is introduced to account for the effects of oil stabilization by particles, particle hydrophobicity, and oil–particle size ratio on OPA formation. A-DROP was able to closely reproduce the oil trapping efficiency reported in experimental studies. The model was then used to simulate the OPA formation in a typical nearshore environment. Modeling results indicate that the increase of particle concentration in the swash zone would speed up the oil–particle interaction process; but the oil amount trapped in OPAs did not correspond to the increase of particle concentration. The developed A-DROP model could become an important tool in understanding the natural removal of oil and developing oil spill countermeasures by means of oil–particle aggregation.</span></p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.marpolbul.2016.02.057","collaboration":"New Jersey Institute of Technology","usgsCitation":"Zhao, L., Boufadel, M., Geng, X., Lee, K., King, T., Robinson, B.H., and Fitzpatrick, F., 2016, A-DROP: A predictive model for the formation of oil particle aggregates (OPAs): Marine Pollution Bulletin, v. 106, no. 1-2, p. 245-259, https://doi.org/10.1016/j.marpolbul.2016.02.057.","productDescription":"15 p.","startPage":"245","endPage":"259","ipdsId":"IP-059435","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":330675,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"1-2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"581c4cc2e4b09688d6e90fad","contributors":{"authors":[{"text":"Zhao, Lin","contributorId":176547,"corporation":false,"usgs":false,"family":"Zhao","given":"Lin","email":"","affiliations":[],"preferred":false,"id":652787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boufadel, Michel C.","contributorId":176576,"corporation":false,"usgs":false,"family":"Boufadel","given":"Michel C.","affiliations":[],"preferred":false,"id":652788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Geng, Xiaolong","contributorId":176549,"corporation":false,"usgs":false,"family":"Geng","given":"Xiaolong","email":"","affiliations":[],"preferred":false,"id":652789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lee, Kenneth","contributorId":61064,"corporation":false,"usgs":true,"family":"Lee","given":"Kenneth","affiliations":[],"preferred":false,"id":652790,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"King, Thomas","contributorId":176577,"corporation":false,"usgs":false,"family":"King","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":652791,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robinson, Brian H.","contributorId":215576,"corporation":false,"usgs":false,"family":"Robinson","given":"Brian","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":762704,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075 fafitzpa@usgs.gov","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":150164,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith A.","email":"fafitzpa@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":652793,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70178114,"text":"70178114 - 2016 - A dynamic leaf gas-exchange strategy is conserved in woody plants under changing ambient CO<sub>2</sub>: evidence from carbon isotope discrimination in paleo and CO<sub>2</sub> enrichment studies","interactions":[],"lastModifiedDate":"2024-02-20T23:37:47.856882","indexId":"70178114","displayToPublicDate":"2016-11-03T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"A dynamic leaf gas-exchange strategy is conserved in woody plants under changing ambient CO<sub>2</sub>: evidence from carbon isotope discrimination in paleo and CO<sub>2</sub> enrichment studies","docAbstract":"<p><span>Rising atmospheric [CO</span><sub>2</sub><span>], </span><i>c</i><sub>a</sub><span>, is expected to affect stomatal regulation of leaf gas-exchange of woody plants, thus influencing energy fluxes as well as carbon (C), water, and nutrient cycling of forests. Researchers have proposed various strategies for stomatal regulation of leaf gas-exchange that include maintaining a constant leaf internal [CO</span><sub>2</sub><span>], </span><i>c</i><sub>i</sub><span>, a constant drawdown in CO</span><sub>2</sub><span>(</span><i>c</i><sub>a</sub><span>&nbsp;−&nbsp;</span><i>c</i><sub>i</sub><span>), and a constant </span><i>c</i><sub>i</sub><span>/</span><i>c</i><sub>a</sub><span>. These strategies can result in drastically different consequences for leaf gas-exchange. The accuracy of Earth systems models depends in part on assumptions about generalizable patterns in leaf gas-exchange responses to varying </span><i>c</i><sub>a</sub><span>. The concept of optimal stomatal behavior, exemplified by woody plants shifting along a continuum of these strategies, provides a unifying framework for understanding leaf gas-exchange responses to </span><i>c</i><sub>a</sub><span>. To assess leaf gas-exchange regulation strategies, we analyzed patterns in </span><i>c</i><sub>i</sub><span> inferred from studies reporting C stable isotope ratios (δ</span><sup>13</sup><span>C) or photosynthetic discrimination (∆) in woody angiosperms and gymnosperms that grew across a range of </span><i>c</i><sub>a</sub><span> spanning at least 100&nbsp;ppm. Our results suggest that much of the </span><i>c</i><sub>a</sub><span>-induced changes in </span><i>c</i><sub>i</sub><span>/</span><i>c</i><sub>a</sub><span> occurred across </span><i>c</i><sub>a</sub><span> spanning 200 to 400&nbsp;ppm. These patterns imply that </span><i>c</i><sub>a</sub><span>&nbsp;−&nbsp;</span><i>c</i><sub>i</sub><span> will eventually approach a constant level at high </span><i>c</i><sub>a</sub><span> because assimilation rates will reach a maximum and stomatal conductance of each species should be constrained to some minimum level. These analyses are not consistent with canalization toward any single strategy, particularly maintaining a constant </span><i>c</i><sub>i</sub><span>. Rather, the results are consistent with the existence of a broadly conserved pattern of stomatal optimization in woody angiosperms and gymnosperms. This results in trees being profligate water users at low </span><i>c</i><sub>a</sub><span>, when additional water loss is small for each unit of C gain, and increasingly water-conservative at high </span><i>c</i><sub>a</sub><span>, when photosystems are saturated and water loss is large for each unit C gain.</span></p>","language":"English","publisher":"Blackwell Science","publisherLocation":"Oxford, England","doi":"10.1111/gcb.13102","usgsCitation":"Voelker, S.L., Brooks, J.R., Meinzer, F.C., Anderson, R., Bader, M.K., Battipaglia, G., Becklin, K.M., Beerling, D., Bert, D., Betancourt, J.L., Dawson, T.E., Domec, J., Guyette, R.P., Korner, C., Leavitt, S.W., Linder, S., Marshall, J.D., Mildner, M., Ogee, J., Panyushkina, I.P., Plumpton, H.J., Pregitzer, K.S., Saurer, M., Smith, A.R., Siegwolf, R.T., Stambaugh, M., Talhelm, A.F., Tardif, J.C., Van De Water, P.K., Ward, J.K., and Wingate, L., 2016, A dynamic leaf gas-exchange strategy is conserved in woody plants under changing ambient CO<sub>2</sub>: evidence from carbon isotope discrimination in paleo and CO<sub>2</sub> enrichment studies: Global Change Biology, v. 22, no. 2, p. 889-902, https://doi.org/10.1111/gcb.13102.","productDescription":"14 p.","startPage":"889","endPage":"902","ipdsId":"IP-068407","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":330683,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-04","publicationStatus":"PW","scienceBaseUri":"581c4cc2e4b09688d6e90fa9","contributors":{"authors":[{"text":"Voelker, Steven L.","contributorId":176586,"corporation":false,"usgs":false,"family":"Voelker","given":"Steven","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":652818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brooks, J. 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Michael C.","contributorId":51202,"corporation":false,"usgs":true,"family":"Stambaugh","given":"Michael C.","affiliations":[],"preferred":false,"id":652843,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Talhelm, Alan F.","contributorId":176605,"corporation":false,"usgs":false,"family":"Talhelm","given":"Alan","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":652844,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Tardif, Jacques C.","contributorId":176606,"corporation":false,"usgs":false,"family":"Tardif","given":"Jacques","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":652845,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Van De Water, Peter K.","contributorId":51484,"corporation":false,"usgs":true,"family":"Van De Water","given":"Peter","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":652846,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Ward, Joy 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,{"id":70178109,"text":"70178109 - 2016 - Acid rain and its environmental effects: Recent scientific advances","interactions":[],"lastModifiedDate":"2016-11-03T09:51:06","indexId":"70178109","displayToPublicDate":"2016-11-03T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":924,"text":"Atmospheric Environment","active":true,"publicationSubtype":{"id":10}},"title":"Acid rain and its environmental effects: Recent scientific advances","docAbstract":"<p>The term ‘acid rain’ refers to atmospheric deposition of acidic constituents that impact the earth as rain, snow, particulates, gases, and vapor. Acid rain was first recognized by Ducros (1845) and subsequently described by the English chemist Robert Angus Smith (Smith, 1852) whose pioneering studies linked the sources to industrial emissions and included early observations of deleterious environmental effects (Smith, 1872). Smith's work was largely forgotten until the mid-20th century when observations began to link air pollution to the deposition of atmospheric sulfate (SO<sub>4</sub><sup>2−</sup>) and other chemical constituents, first near the metal smelter at Sudbury, Ontario, Canada, and later at locations in Europe, North America, and Australia (Gorham, 1961). Our modern understanding of acid rain as an environmental problem caused largely by regional emissions of sulfur dioxide (SO<sub>2</sub>) and nitrogen oxides (NO<sub>x</sub>) stems from observations in the 1960s and early 1970s in Sweden by Svante Odén (Odén, 1976), and in North America by Gene Likens and colleagues (Likens and Bormann, 1974). These scientists and many who followed showed the link to emissions from coal-fired power plants and other industrial sources, and documented the environmental effects of acid rain such as the acidification of surface waters and toxic effects on vegetation, fish, and other biota.</p>","language":"English","publisher":"Pergamon Press","publisherLocation":"Oxford","doi":"10.1016/j.atmosenv.2016.10.019","usgsCitation":"Burns, D.A., Aherne, J., Gay, D., and Lehmann, C.M., 2016, Acid rain and its environmental effects: Recent scientific advances: Atmospheric Environment, v. 146, p. 1-4, https://doi.org/10.1016/j.atmosenv.2016.10.019.","productDescription":"4 p.","startPage":"1","endPage":"4","ipdsId":"IP-079192","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":470443,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.atmosenv.2016.10.019","text":"Publisher Index Page"},{"id":330680,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"146","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"581c4cc2e4b09688d6e90fab","contributors":{"authors":[{"text":"Burns, Douglas A. 0000-0001-6516-2869 daburns@usgs.gov","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":1237,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"daburns@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aherne, Julian","contributorId":176583,"corporation":false,"usgs":false,"family":"Aherne","given":"Julian","email":"","affiliations":[],"preferred":false,"id":652809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gay, David A.","contributorId":68022,"corporation":false,"usgs":true,"family":"Gay","given":"David A.","affiliations":[],"preferred":false,"id":652810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lehmann, Christopher M.B.","contributorId":84859,"corporation":false,"usgs":true,"family":"Lehmann","given":"Christopher","email":"","middleInitial":"M.B.","affiliations":[],"preferred":false,"id":652811,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70177969,"text":"70177969 - 2016 - Bounded fractional diffusion in geological media: Definition and Lagrangian approximation","interactions":[],"lastModifiedDate":"2018-08-09T12:27:12","indexId":"70177969","displayToPublicDate":"2016-11-03T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Bounded fractional diffusion in geological media: Definition and Lagrangian approximation","docAbstract":"Spatiotemporal Fractional-Derivative Models (FDMs) have been increasingly used to simulate non-Fickian diffusion, but methods have not been available to define boundary conditions for FDMs in bounded domains. This study defines boundary conditions and then develops a Lagrangian solver to approximate bounded, one-dimensional fractional diffusion. Both the zero-value and non-zero-value Dirichlet, Neumann, and mixed Robin boundary conditions are defined, where the sign of Riemann-Liouville fractional derivative (capturing non-zero-value spatial-nonlocal boundary conditions with directional super-diffusion) remains consistent with the sign of the fractional-diffusive flux term in the FDMs. New Lagrangian schemes are then proposed to track solute particles moving in bounded domains, where the solutions are checked against analytical or Eularian solutions available for simplified FDMs. Numerical experiments show that the particle-tracking algorithm for non-Fickian diffusion differs from Fickian diffusion in relocating the particle position around the reflective boundary, likely due to the non-local and non-symmetric fractional diffusion. For a non-zero-value Neumann or Robin boundary, a source cell with a reflective face can be applied to define the release rate of random-walking particles at the specified flux boundary. Mathematical definitions of physically meaningful nonlocal boundaries combined with bounded Lagrangian solvers in this study may provide the only viable techniques at present to quantify the impact of boundaries on anomalous diffusion, expanding the applicability of FDMs from infinite do mains to those with any size and boundary conditions.","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2016WR019178","usgsCitation":"Zhang, Y., Green, C.T., LaBolle, E.M., Neupauer, R.M., and Sun, H., 2016, Bounded fractional diffusion in geological media: Definition and Lagrangian approximation: Water Resources Research, v. 52, no. 11, p. 8561-8577, https://doi.org/10.1002/2016WR019178.","productDescription":"17 p.","startPage":"8561","endPage":"8577","ipdsId":"IP-075843","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":470444,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016wr019178","text":"Publisher Index Page"},{"id":330678,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-12","publicationStatus":"PW","scienceBaseUri":"581c4cc2e4b09688d6e90fb1","contributors":{"authors":[{"text":"Zhang, Yong","contributorId":19029,"corporation":false,"usgs":true,"family":"Zhang","given":"Yong","affiliations":[],"preferred":false,"id":652794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Green, Christopher T. 0000-0002-6480-8194 ctgreen@usgs.gov","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":1343,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"ctgreen@usgs.gov","middleInitial":"T.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":652795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaBolle, Eric M.","contributorId":176579,"corporation":false,"usgs":false,"family":"LaBolle","given":"Eric","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":652796,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Neupauer, Roseanna M.","contributorId":176580,"corporation":false,"usgs":false,"family":"Neupauer","given":"Roseanna","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":652797,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sun, Hong-Guang 0000-0002-8422-3871","orcid":"https://orcid.org/0000-0002-8422-3871","contributorId":176581,"corporation":false,"usgs":false,"family":"Sun","given":"Hong-Guang","email":"","affiliations":[],"preferred":false,"id":652798,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70177172,"text":"ds1024 - 2016 - Characterization of sediment and measurement of groundwater levels and temperatures, Camas National Wildlife Refuge, eastern Idaho","interactions":[],"lastModifiedDate":"2016-11-03T07:32:31","indexId":"ds1024","displayToPublicDate":"2016-11-02T00:00:00","publicationYear":"2016","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":"1024","title":"Characterization of sediment and measurement of groundwater levels and temperatures, Camas National Wildlife Refuge, eastern Idaho","docAbstract":"<p class=\"p1\">The Camas National Wildlife Refuge (Refuge) in eastern Idaho, established in 1937, contains wetlands, ponds, and wet meadows that are essential resting and feeding habitat for migratory birds and nesting habitat for waterfowl. Initially, natural sources of water supported these habitats. However, during the past few decades, climate change and changes in surrounding land use have altered and reduced natural groundwater and surface water inflows such that the wetlands, ponds, and wet meadows are now maintained through water management and groundwater pumping. These water management activities have proven to be inefficient and costly, prompting the Refuge to develop alternative water management options that are more efficient and less expensive. The U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service, is studying the hydrogeology at the Refuge to provide information for developing alternative water management options.</p><p class=\"p1\">The hydrogeologic studies at the Refuge included characterizing the type, distribution, and hydraulic conductivity of surficial sediments and measuring water levels and temperatures in monitoring wells. Four monitoring wells and seven soil probe coreholes were drilled at the Refuge. Seven water level and temperature data loggers were installed in the wells and water levels and temperatures were continuously recorded from November 2014 to June 2016. Sediment cores were collected from the coreholes and sediment type and distribution were characterized from drillers’ notes, geophysical logs, corehole samples, and particle grain-size analysis. The hydraulic conductivities of sediments were estimated using the measured average grain size and the assumed textural maturity of the sediment, and ranged from about 20 to 290 feet per day.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1024","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Twining, B.V., and Rattray, G.W., 2016, Characterization of sediment and measurement of groundwater levels and temperatures, Camas National Wildlife Refuge, eastern Idaho: U.S. Geological Survey Data Series 1024, 23 p.,\nhttps://dx.doi.org/10.3133/ds1024.","productDescription":"Report: v, 23 p.; Appendix","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-078192","costCenters":[{"id":343,"text":"Idaho Water Science 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         ],\n            [\n              -112.30224609374999,\n              43.957236472025635\n            ],\n            [\n              -112.29280471801758,\n              43.9576071863508\n            ],\n            [\n              -112.29297637939453,\n              43.96502098715404\n            ],\n            [\n              -112.27924346923827,\n              43.96477387536573\n            ],\n            [\n              -112.27684020996094,\n              43.96625653067646\n            ],\n            [\n              -112.27237701416016,\n              43.96625653067646\n            ],\n            [\n              -112.27117538452148,\n              43.965268097914425\n            ],\n            [\n              -112.26688385009766,\n              43.965268097914425\n            ],\n            [\n              -112.26671218872069,\n              43.96810979777519\n            ],\n            [\n              -112.26448059082031,\n              43.970951361689934\n            ],\n            [\n              -112.25761413574219,\n              43.97144553284128\n            ],\n            [\n              -112.25812911987305,\n              43.97836349721919\n            ],\n            [\n              -112.25263595581055,\n              43.979104659888236\n            ],\n            [\n              -112.25366592407227,\n              43.98169865637306\n            ],\n            [\n              -112.26327896118164,\n              43.98219273809204\n            ],\n            [\n              -112.26327896118164,\n              43.98540416903878\n            ],\n            [\n              -112.25263595581055,\n              43.98614524381678\n            ],\n            [\n              -112.25332260131836,\n              43.98923295580709\n            ],\n            [\n              -112.2480010986328,\n              43.98972697481996\n            ],\n            [\n              -112.2480010986328,\n              43.99318499277654\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_id@usgs.gov\" data-mce-href=\"mailto:dc_id@usgs.gov\">Director</a>, Idaho Water Science Center<br> U.S. Geological Survey<br> 230 Collins Road<br> Boise, Idaho 83702<br> <a href=\"http://id.water.usgs.gov\" target=\"blank\" data-mce-href=\"http://id.water.usgs.gov\">http://id.water.usgs.gov</a></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Methods<br></li><li>Characterization of Sediment<br></li><li>Groundwater Levels and Temperatures<br></li><li>Summary<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Appendix A. Results of Particle-Grain Size Analyses on 49 Sediment Samples That Were Separated from the Seven Soil Probe Sediment Cores<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-11-02","noUsgsAuthors":false,"publicationDate":"2016-11-02","publicationStatus":"PW","scienceBaseUri":"581afb67e4b0bb36a4ca665b","contributors":{"authors":[{"text":"Twining, Brian V. 0000-0003-1321-4721 btwining@usgs.gov","orcid":"https://orcid.org/0000-0003-1321-4721","contributorId":2387,"corporation":false,"usgs":true,"family":"Twining","given":"Brian","email":"btwining@usgs.gov","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rattray, Gordon W. 0000-0002-1690-3218 grattray@usgs.gov","orcid":"https://orcid.org/0000-0002-1690-3218","contributorId":2521,"corporation":false,"usgs":true,"family":"Rattray","given":"Gordon","email":"grattray@usgs.gov","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651437,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192498,"text":"70192498 - 2016 -  Light Goose Conservation Order effects on nontarget waterfowl behavior and energy expenditure","interactions":[],"lastModifiedDate":"2017-10-30T11:13:13","indexId":"70192498","displayToPublicDate":"2016-11-02T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":" Light Goose Conservation Order effects on nontarget waterfowl behavior and energy expenditure","docAbstract":"<p>When the Light Goose Conservation Order (LGCO) was established during 1999 in the Rainwater Basin of Nebraska, USA, LGCO activities were limited to 4 days/week and 16 public wetlands were closed to the LGCO to limit disturbance to nontarget waterfowl during this energetically important time period. However, the effects of LGCO activities on waterfowl behavior and energy expenditure are relatively unknown in this critical waterfowl staging area. To evaluate LGCO effects on target and nontarget species, we paired wetlands open and closed to LGCO and recorded waterfowl behavior and hunter encounters during springs 2011 and 2012. We constructed hourly energy expenditure models based on behavior data collected for mallards (<i>Anas platyrhynchos</i>) and northern pintails (<i>A. acuta</i>). In 2011, dabbling ducks (<i>Anas</i> spp.) spent more time feeding and less time resting in wetlands closed to hunting during early season when the majority of hunting encounters occurred; behaviors did not differ between hunt categories during late season when hunting activities subsided. However, in 2012, dabbling ducks spent more time feeding and less time resting in wetlands open to hunting during early and late seasons. We detected no differences in behaviors of lesser snow geese (<i>Chen caerulescens</i>) or greater white-fronted geese (<i>Anser albifrons</i>) between hunting categories in early season. Mallards had slightly greater energy expenditure on wetlands closed to hunting (<span class=\"math-equation-construct\" data-equation-construct=\"true\"><span class=\"math-equation-image\" data-equation-image=\"true\"><img class=\"inlineGraphic\" src=\"http://onlinelibrary.wiley.com/store/10.1002/wsb.704/asset/equation/wsb704-math-0004.png?v=1&amp;s=7ad02ca916ca9968e7ede77f6a01513319795a9c\" alt=\"math formula\" data-mce-src=\"http://onlinelibrary.wiley.com/store/10.1002/wsb.704/asset/equation/wsb704-math-0004.png?v=1&amp;s=7ad02ca916ca9968e7ede77f6a01513319795a9c\"></span></span><span> </span> = 38.94 ± 0.31 kJ/bird/hr), compared with wetlands open to hunting (<span class=\"math-equation-construct\" data-equation-construct=\"true\"><span class=\"math-equation-image\" data-equation-image=\"true\"><img class=\"inlineGraphic\" src=\"http://onlinelibrary.wiley.com/store/10.1002/wsb.704/asset/equation/wsb704-math-0004.png?v=1&amp;s=7ad02ca916ca9968e7ede77f6a01513319795a9c\" alt=\"math formula\" data-mce-src=\"http://onlinelibrary.wiley.com/store/10.1002/wsb.704/asset/equation/wsb704-math-0004.png?v=1&amp;s=7ad02ca916ca9968e7ede77f6a01513319795a9c\"></span></span><span> </span> = 37.87 ± 0.32 kJ/bird/hr); therefore, greater energy spent by mallards cannot be attributed to hunting disturbance. We also detected no differences in dabbling duck behavior or energy expenditure between days open or closed to hunting in the region. A refuge system of wetlands closed to LGCO activities in the Rainwater Basin may be an important management strategy in providing reduced disturbance for nontarget waterfowl species in some years. Published 2016. This article is a U.S. Government work and is in the public domain in the USA.</p>","language":"English","publisher":"Wiley","doi":"10.1002/wsb.704","usgsCitation":"Dinges, A.J., Webb, E.B., and Vrtiska, M.P., 2016,  Light Goose Conservation Order effects on nontarget waterfowl behavior and energy expenditure: Wildlife Society Bulletin, v. 40, no. 4, p. 694-704, https://doi.org/10.1002/wsb.704.","productDescription":"11 p.","startPage":"694","endPage":"704","ipdsId":"IP-065245","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":499900,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/b799acf54ffe4e03877db7aa149ef52f","text":"External Repository"},{"id":347505,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Rainwater Basin","volume":"40","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-02","publicationStatus":"PW","scienceBaseUri":"59f83a3ae4b063d5d30980f9","contributors":{"authors":[{"text":"Dinges, Andrew J.","contributorId":145935,"corporation":false,"usgs":false,"family":"Dinges","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":716467,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":716079,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vrtiska, Mark P.","contributorId":54008,"corporation":false,"usgs":true,"family":"Vrtiska","given":"Mark","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":716468,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70273441,"text":"70273441 - 2016 - Linking silicate weathering to riverine geochemistry—A case study from a mountainous tropical setting in west-central Panama","interactions":[],"lastModifiedDate":"2026-01-14T15:47:46.605522","indexId":"70273441","displayToPublicDate":"2016-11-01T09:41:42","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Linking silicate weathering to riverine geochemistry—A case study from a mountainous tropical setting in west-central Panama","docAbstract":"<p><span>Chemical analyses from 71 watersheds across an ∼450 km transect in west-central Panama provide insight into controls on weathering and rates of chemical denudation and CO</span><sub>2</sub><span>&nbsp;consumption across an igneous arc terrain in the tropics. Stream and river compositions across this region of Panama are generally dilute, having a total dissolved solute value = 118 ± 91 mg/L, with bicarbonate and silica being the predominant dissolved species. Solute, stable isotope, and radiogenic isotope compositions are consistent with dissolution of igneous rocks present in Panama by meteoric precipitation, with geochemical signatures of rivers largely acquired in their upstream regions. Comparison of a headwater basin with its entire watershed observed considerably more runoff production from the high-elevation upstream portion of the catchment than in its much more spatially extensive downstream region. Rock alteration profiles document that weathering proceeds primarily by dissolution of feldspar and pyroxene, with base cations effectively leached in the following sequence: Na &gt; Ca &gt; Mg &gt; K. Control on water chemistry by bedrock lithology is indicated through a linking of elevated ([Na + K]/[Ca + Mg]) ratios in waters to a high proportion of catchment area silicic bedrock and low ratios to mafic bedrock. Sr-isotope ratios are dominated by basement-derived Sr, with only very minor, if any, contribution from other sources. Cation weathering of Ca</span><sub>sil</sub><span>&nbsp;+ Mg</span><sub>sil</sub><span>&nbsp;+ Na + K spans about an order in magnitude, from 3 to 32 tons/km</span><sup>2</sup><span>/yr. Strong positive correlations of chemical denudation and CO</span><sub>2</sub><span>&nbsp;consumption are observed with precipitation, mean watershed elevation, extent of land surface forest cover, and physical erosion rate.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B31388.1","usgsCitation":"Harmon, R.S., Wörner, G., Goldsmith, S.T., Harmon, B.A., Gardner, C.B., Lyons, W.B., Ogden, F.L., Pribil, M., Long, D.T., Kern, Z., and Fórizs, I., 2016, Linking silicate weathering to riverine geochemistry—A case study from a mountainous tropical setting in west-central Panama: GSA Bulletin, v. 128, no. 11-12, p. 1780-1812, https://doi.org/10.1130/B31388.1.","productDescription":"23 p.","startPage":"1780","endPage":"1812","ipdsId":"IP-057655","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":498615,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Panama","otherGeospatial":"Chagras and Pacora watersheds","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.02475081518877,\n              9.72835001499034\n            ],\n            [\n              -83.0055327816727,\n              9.72835001499034\n            ],\n            [\n              -83.0055327816727,\n              7.266801490086593\n            ],\n            [\n              -77.02475081518877,\n              7.266801490086593\n            ],\n            [\n              -77.02475081518877,\n              9.72835001499034\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"128","issue":"11-12","noUsgsAuthors":false,"publicationDate":"2016-06-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Harmon, Russell S.","contributorId":365108,"corporation":false,"usgs":false,"family":"Harmon","given":"Russell","middleInitial":"S.","affiliations":[{"id":87040,"text":"Department of Marine, Earth Atmospheric Sciences, North Carolina State University and USACE","active":true,"usgs":false}],"preferred":false,"id":953708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wörner, Gerhard","contributorId":365109,"corporation":false,"usgs":false,"family":"Wörner","given":"Gerhard","affiliations":[{"id":87041,"text":"Division of Geochemistry, University of Göttingen","active":true,"usgs":false}],"preferred":false,"id":953709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldsmith, Steven T.","contributorId":365110,"corporation":false,"usgs":false,"family":"Goldsmith","given":"Steven","middleInitial":"T.","affiliations":[{"id":87042,"text":"Department of Geography and the Environment, Villanova University","active":true,"usgs":false}],"preferred":false,"id":953710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harmon, Brendan A.","contributorId":365111,"corporation":false,"usgs":false,"family":"Harmon","given":"Brendan","middleInitial":"A.","affiliations":[{"id":87043,"text":"Department of Marine, Earth Atmospheric Sciences, North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":953711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gardner, Christopher B.","contributorId":365112,"corporation":false,"usgs":false,"family":"Gardner","given":"Christopher","middleInitial":"B.","affiliations":[{"id":87044,"text":"School of Earth Sciences, The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":953712,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lyons, W. Berry","contributorId":365113,"corporation":false,"usgs":false,"family":"Lyons","given":"W.","middleInitial":"Berry","affiliations":[{"id":87044,"text":"School of Earth Sciences, The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":953713,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ogden, Fred L.","contributorId":365114,"corporation":false,"usgs":false,"family":"Ogden","given":"Fred","middleInitial":"L.","affiliations":[{"id":87045,"text":"Department of Civil & Architectural Engineering, University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":953714,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pribil, Michael J. 0000-0003-4859-8673 mpribil@usgs.gov","orcid":"https://orcid.org/0000-0003-4859-8673","contributorId":141158,"corporation":false,"usgs":true,"family":"Pribil","given":"Michael","email":"mpribil@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":953715,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Long, David T.","contributorId":365115,"corporation":false,"usgs":false,"family":"Long","given":"David","middleInitial":"T.","affiliations":[{"id":87046,"text":"Department of Geological Sciences, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":953716,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kern, Zoltán","contributorId":365116,"corporation":false,"usgs":false,"family":"Kern","given":"Zoltán","affiliations":[{"id":33755,"text":"Hungarian Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":953717,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Fórizs, István","contributorId":365117,"corporation":false,"usgs":false,"family":"Fórizs","given":"István","affiliations":[{"id":33755,"text":"Hungarian Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":953718,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70177939,"text":"70177939 - 2016 - Migratory bird habitat in relation to tile drainage and poorly drained hydrologic soil groups","interactions":[],"lastModifiedDate":"2017-01-20T11:10:39","indexId":"70177939","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Migratory bird habitat in relation to tile drainage and poorly drained hydrologic soil groups","docAbstract":"<p><span>The Prairie Pothole Region (PPR) is home to more than 50% of the migratory waterfowl in North America. Although the PPR provides an abundance of temporary and permanent wetlands for nesting and feeding, increases in commodity prices and agricultural drainage practices have led to a trend of wetland drainage. The Northern Shoveler is a migratory dabbling duck species that uses wetland habitats and cultivated croplands in the PPR. Richland County in North Dakota and Roberts County in South Dakota have an abundance of wetlands and croplands and were chosen as the study areas for this research to assess the wetland size and cultivated cropland in relation to hydrologic soil groups for the Northern Shoveler habitat. This study used geographic information system data to analyze Northern Shoveler habitats in association with Natural Resource Conservation Service soil data. Habitats, which are spatially associated with certain hydrologic soil groups, may be at risk of artificial drainage installations because of their proximity to cultivated croplands and soil lacking in natural drainage that may become wet or inundated. Findings indicate that most wetlands that are part of Northern Shoveler habitats were within or adjacent to cultivated croplands. The results also revealed soil hydrologic groups with high runoff potential and low water transmission rates account for most of the soil within the Northern Shoveler‘s wetland and cropland habitats. Habitats near agriculture with high runoff potential are likely to be drained and this has the potential of reducing Northern Shoveler habitat.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"10th International Drainage Symposium Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"10th International Drainage Symposium Conference","conferenceDate":"September 6-9, 2016","conferenceLocation":"Minneapolis, Minnesota","language":"English","publisher":"American Society of Agricultural and Biological Engineers","doi":"10.13031/IDS.20162493338","usgsCitation":"Kastner, B., Christensen, V.G., Williamson, T., and Sanocki, C.A., 2016, Migratory bird habitat in relation to tile drainage and poorly drained hydrologic soil groups, <i>in</i> 10th International Drainage Symposium Conference, Minneapolis, Minnesota, September 6-9, 2016, https://doi.org/10.13031/IDS.20162493338.","ipdsId":"IP-076360","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":333559,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-07","publicationStatus":"PW","scienceBaseUri":"58833022e4b0d0023163778e","contributors":{"authors":[{"text":"Kastner, Brandi bkastner@usgs.gov","contributorId":176471,"corporation":false,"usgs":true,"family":"Kastner","given":"Brandi","email":"bkastner@usgs.gov","affiliations":[],"preferred":true,"id":659209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christensen, Victoria G. 0000-0003-4166-7461 vglenn@usgs.gov","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":2354,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","email":"vglenn@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":659210,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williamson, Tanja N. tnwillia@usgs.gov","contributorId":452,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja N.","email":"tnwillia@usgs.gov","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":false,"id":659211,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sanocki, Christopher A. 0000-0001-6714-5421 sanocki@usgs.gov","orcid":"https://orcid.org/0000-0001-6714-5421","contributorId":3142,"corporation":false,"usgs":true,"family":"Sanocki","given":"Christopher","email":"sanocki@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":659212,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179079,"text":"70179079 - 2016 - Do rivermouths alter nutrient and seston delivery to the nearshore?","interactions":[],"lastModifiedDate":"2017-02-15T14:11:03","indexId":"70179079","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Do rivermouths alter nutrient and seston delivery to the nearshore?","docAbstract":"<ol id=\"fwb12827-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Tributary inputs to lakes and seas are often measured at riverine gages, upstream of lentic influence. Between these riverine gages and the nearshore zones of large waterbodies lie rivermouths, which may retain, transform and contribute materials to the nearshore zone. However, the magnitude and timing of these rivermouth effects have rarely been measured.</li><li>During the summer of 2011, 23 tributary systems of the Laurentian Great Lakes were sampled from river to nearshore for dissolved and particulate carbon (C), nitrogen (N) and phosphorus (P) concentrations, as well as bulk seston and chlorophyll <i>a</i> concentrations. Three locations per system were sampled: in the upstream river, in the nearshore zone and at the outflow from the rivermouth to the lake. Using stable oxygen isotopes, a water-mixing model was developed to estimate the nutrient concentration that would occur at the rivermouth if mixing was strictly conservative (i.e. if no processing occurred within the rivermouth). Deviations between these conservative mixing estimates and measured nutrient concentrations were identified as rivermouth effects on nutrient concentrations.</li><li>Rivermouths had higher concentration of C and P than nearshore areas and more chlorophyll <i>a</i>than upstream river waters. Compared to the conservative mixing model, rivermouths as a class appeared to be summer-time sources of N, P and chlorophyll <i>a</i>. Substantial among rivermouth variation occurred both in the effect size and direction for all constituents.</li><li>Using principal component analysis, two groups of rivermouths were identified: rivermouths that had a large effect on most constituents and those that had very little effect on any of the measured constituents. ‘High-effect’ rivermouths had more abundant upstream croplands, which were presumably the sources of inorganic nutrients. Cross-validated models built using characteristics of the rivermouth were not good predictors of variation in rivermouth effects on most constituents.</li><li>For consumers feeding on seston and microbes and vascular autotrophs directly taking up dissolved nutrients, rivermouths are more resource-rich than upstream riverine or nearby Great Lakes waters. Given declines over time in open-lake productivity within the Great Lakes, rivermouths may contribute more productivity than their size would suggest to the Great Lakes food web.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.12827","usgsCitation":"Larson, J.H., Frost, P.C., Vallazza, J., Nelson, J.C., and Richardson, W.B., 2016, Do rivermouths alter nutrient and seston delivery to the nearshore?: Freshwater Biology, v. 61, no. 11, p. 1935-1949, https://doi.org/10.1111/fwb.12827.","productDescription":"15 p.","startPage":"1935","endPage":"1949","ipdsId":"IP-069318","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":332188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335593,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7WQ01XF","text":"Do rivermouths alter nutrient and seston delivery to the nearshore?"}],"volume":"61","issue":"11","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-06","publicationStatus":"PW","scienceBaseUri":"5853ba3fe4b0e2663625f2b6","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":655950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frost, Paul C.","contributorId":138628,"corporation":false,"usgs":false,"family":"Frost","given":"Paul","email":"","middleInitial":"C.","affiliations":[{"id":12467,"text":"Department of Biology, Trent University, Peterborough, ON  CA","active":true,"usgs":false}],"preferred":false,"id":655951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vallazza, Jon M. jvallazza@usgs.gov","contributorId":139282,"corporation":false,"usgs":true,"family":"Vallazza","given":"Jon M.","email":"jvallazza@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":655952,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, John C. 0000-0002-7105-0107 jcnelson@usgs.gov","orcid":"https://orcid.org/0000-0002-7105-0107","contributorId":149361,"corporation":false,"usgs":true,"family":"Nelson","given":"John","email":"jcnelson@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":655953,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richardson, William B. 0000-0002-7471-4394 wrichardson@usgs.gov","orcid":"https://orcid.org/0000-0002-7471-4394","contributorId":3277,"corporation":false,"usgs":true,"family":"Richardson","given":"William","email":"wrichardson@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":655954,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70184987,"text":"70184987 - 2016 - Pb-Sr isotopic and geochemical constraints on sources and processes of lead contamination in well waters and soil from former fruit orchards, Pennsylvania, USA: A legacy of anthropogenic activities","interactions":[],"lastModifiedDate":"2017-03-13T13:29:57","indexId":"70184987","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Pb-Sr isotopic and geochemical constraints on sources and processes of lead contamination in well waters and soil from former fruit orchards, Pennsylvania, USA: A legacy of anthropogenic activities","docAbstract":"<p><span>Isotopic discrimination can be an effective tool in establishing a direct link between sources of Pb contamination and the presence of anomalously high concentrations of Pb in waters, soils, and organisms. Residential wells supplying water containing up to 1600&nbsp;ppb Pb to houses built on the former Mohr orchards commercial site, near Allentown, PA, were evaluated to discern anthropogenic from geogenic sources. Pb (n&nbsp;=&nbsp;144) and Sr (n&nbsp;=&nbsp;40) isotopic data and REE (n&nbsp;=&nbsp;29) data were determined for waters from residential wells, test wells (drilled for this study), and surface waters from pond and creeks. Local soils, sediments, bedrock, Zn-Pb mineralization and coal were also analyzed (n&nbsp;=&nbsp;94), together with locally used Pb-As pesticide (n&nbsp;=&nbsp;5). Waters from residential and test wells show overlapping values of </span><sup>206</sup><span>Pb/</span><sup>207</sup><span>Pb, </span><sup>208</sup><span>Pb/</span><sup>207</sup><span>Pb and </span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr. Larger negative Ce anomalies (Ce/Ce*) distinguish residential wells from test wells. Results show that residential and test well waters, sediments from residential water filters in water tanks, and surface waters display broad linear trends in Pb isotope plots. Pb isotope data for soils, bedrock, and pesticides have contrasting ranges and overlapping trends. Contributions of Pb from soils to residential well waters are limited and implicated primarily in wells having shallow water-bearing zones and carrying high sediment contents. Pb isotope data for residential wells, test wells, and surface waters show substantial overlap with Pb data reflecting anthropogenic actions (e.g., burning fossil fuels, industrial and urban processing activities). Limited contributions of Pb from bedrock, soils, and pesticides are evident. High Pb concentrations in the residential waters are likely related to sediment build up in residential water tanks. Redox reactions, triggered by influx of groundwater via wells into the residential water systems and leading to subtle changes in pH, are implicated in precipitation of Fe oxyhydroxides, oxidative scavenging of Ce(IV), and desorption and release of Pb into the residential water systems. The Pb isotope features in the residences and the region are best interpreted as reflecting a legacy of industrial Pb present in underlying aquifers that currently supply the drinking water wells.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gexplo.2016.08.008","usgsCitation":"Ayuso, R.A., and Foley, N.K., 2016, Pb-Sr isotopic and geochemical constraints on sources and processes of lead contamination in well waters and soil from former fruit orchards, Pennsylvania, USA: A legacy of anthropogenic activities: Journal of Geochemical Exploration, v. 170, p. 125-147, https://doi.org/10.1016/j.gexplo.2016.08.008.","productDescription":"23 p.","startPage":"125","endPage":"147","ipdsId":"IP-070677","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":337434,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","volume":"170","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c7af9fe4b0849ce9795e96","contributors":{"authors":[{"text":"Ayuso, Robert A. 0000-0002-8496-9534 rayuso@usgs.gov","orcid":"https://orcid.org/0000-0002-8496-9534","contributorId":2654,"corporation":false,"usgs":true,"family":"Ayuso","given":"Robert","email":"rayuso@usgs.gov","middleInitial":"A.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":683834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foley, Nora K. 0000-0003-0124-3509 nfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-0124-3509","contributorId":4010,"corporation":false,"usgs":true,"family":"Foley","given":"Nora","email":"nfoley@usgs.gov","middleInitial":"K.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":683835,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178041,"text":"70178041 - 2016 - Effectiveness of vegetation buffers surrounding playa wetlands at contaminant and sediment amelioration","interactions":[],"lastModifiedDate":"2016-11-01T13:01:49","indexId":"70178041","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Effectiveness of vegetation buffers surrounding playa wetlands at contaminant and sediment amelioration","docAbstract":"<p><span>Playa wetlands, the dominant hydrological feature of the semi-arid U.S. High Plains providing critical ecosystem services, are being lost and degraded due to anthropogenic alterations of the short-grass prairie landscape. The primary process contributing to the loss of playas is filling of the wetland through accumulation of soil eroded and transported by precipitation from surrounding cultivated watersheds. We evaluated effectiveness of vegetative buffers surrounding playas in removing metals, nutrients, and dissolved/suspended sediments from precipitation runoff. Storm water runoff was collected at 10-m intervals in three buffer types (native grass, fallow cropland, and Conservation Reserve Program). Buffer type differed in plant composition, but not in maximum percent removal of contaminants. Within the initial 60&nbsp;m from a cultivated field, vegetation buffers of all types removed &gt;50% of all measured contaminants, including 83% of total suspended solids (TSS) and 58% of total dissolved solids (TDS). Buffers removed an average of 70% of P and 78% of N to reduce nutrients entering the playa. Mean maximum percent removal for metals ranged from 56% of Na to 87% of Cr. Maximum removal was typically at 50&nbsp;m of buffer width. Measures of TSS were correlated with all measures of metals and nutrients except for N, which was correlated with TDS. Any buffer type with &gt;80% vegetation cover and 30–60&nbsp;m in width would maximize contaminant removal from precipitation runoff while ensuring that playas would continue to function hydrologically to provide ecosystem services. Watershed management to minimize erosion and creations of vegetation buffers could be economical and effective conservation tools for playa wetlands.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2016.07.011","usgsCitation":"Haukos, D.A., Johnson, L.A., Smith, L., and McMurry, S.T., 2016, Effectiveness of vegetation buffers surrounding playa wetlands at contaminant and sediment amelioration: Journal of Environmental Management, v. 181, p. 552-562, https://doi.org/10.1016/j.jenvman.2016.07.011.","productDescription":"11 p.","startPage":"552","endPage":"562","ipdsId":"IP-068762","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470475,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2016.07.011","text":"Publisher Index Page"},{"id":330610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"181","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5819a9c1e4b0bb36a4c91005","contributors":{"authors":[{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":652586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Lacrecia A.","contributorId":176511,"corporation":false,"usgs":false,"family":"Johnson","given":"Lacrecia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":652627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Loren M.","contributorId":88876,"corporation":false,"usgs":true,"family":"Smith","given":"Loren M.","affiliations":[],"preferred":false,"id":652628,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McMurry, Scott T.","contributorId":76613,"corporation":false,"usgs":true,"family":"McMurry","given":"Scott","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":652629,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178027,"text":"70178027 - 2016 - Analyses of infrequent (quasi-decadal) large groundwater recharge events in the northern Great Basin: Their importance for groundwater availability, use, and management","interactions":[],"lastModifiedDate":"2017-01-11T16:32:00","indexId":"70178027","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Analyses of infrequent (quasi-decadal) large groundwater recharge events in the northern Great Basin: Their importance for groundwater availability, use, and management","docAbstract":"<p><span>There has been a considerable amount of research linking climatic variability to hydrologic responses in the western United States. Although much effort has been spent to assess and predict changes in surface water resources, little has been done to understand how climatic events and changes affect groundwater resources. This study focuses on characterizing and quantifying the effects of large, multiyear, quasi-decadal groundwater recharge events in the northern Utah portion of the Great Basin for the period 1960–2013. Annual groundwater level data were analyzed with climatic data to characterize climatic conditions and frequency of these large recharge events. Using observed water-level changes and multivariate analysis, five large groundwater recharge events were identified with a frequency of about 11–13 years. These events were generally characterized as having above-average annual precipitation and snow water equivalent and below-average seasonal temperatures, especially during the spring (April through June). Existing groundwater flow models for several basins within the study area were used to quantify changes in groundwater storage from these events. Simulated groundwater storage increases per basin from a single recharge event ranged from about 115 to 205 Mm</span><sup>3</sup><span>. Extrapolating these amounts over the entire northern Great Basin indicates that a single large quasi-decadal recharge event could result in billions of cubic meters of groundwater storage. Understanding the role of these large quasi-decadal recharge events in replenishing aquifers and sustaining water supplies is crucial for long-term groundwater management.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2016WR019060","usgsCitation":"Masbruch, M.D., Rumsey, C., Gangopadhyay, S., Susong, D.D., and Pruitt, T., 2016, Analyses of infrequent (quasi-decadal) large groundwater recharge events in the northern Great Basin: Their importance for groundwater availability, use, and management: Water Resources Research, v. 52, no. 10, p. 7819-7836, https://doi.org/10.1002/2016WR019060.","productDescription":"18 p.","startPage":"7819","endPage":"7836","ipdsId":"IP-069809","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":470453,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016wr019060","text":"Publisher Index Page"},{"id":330630,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.08203125,\n              38.47939467327645\n            ],\n            [\n              -114.08203125,\n              42.00032514831621\n            ],\n            [\n              -109.0283203125,\n              42.00032514831621\n            ],\n            [\n              -109.0283203125,\n              38.47939467327645\n            ],\n            [\n              -114.08203125,\n              38.47939467327645\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"52","issue":"10","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-11","publicationStatus":"PW","scienceBaseUri":"5819a9c2e4b0bb36a4c9100d","contributors":{"authors":[{"text":"Masbruch, Melissa D. 0000-0001-6568-160X mmasbruch@usgs.gov","orcid":"https://orcid.org/0000-0001-6568-160X","contributorId":1902,"corporation":false,"usgs":true,"family":"Masbruch","given":"Melissa","email":"mmasbruch@usgs.gov","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rumsey, Christine 0000-0001-7536-750X crumsey@usgs.gov","orcid":"https://orcid.org/0000-0001-7536-750X","contributorId":146240,"corporation":false,"usgs":true,"family":"Rumsey","given":"Christine","email":"crumsey@usgs.gov","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gangopadhyay, Subhrendu 0000-0003-3864-8251","orcid":"https://orcid.org/0000-0003-3864-8251","contributorId":173439,"corporation":false,"usgs":false,"family":"Gangopadhyay","given":"Subhrendu","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":652544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Susong, David D. ddsusong@usgs.gov","contributorId":1040,"corporation":false,"usgs":true,"family":"Susong","given":"David","email":"ddsusong@usgs.gov","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652545,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pruitt, Tom 0000-0002-3543-1324","orcid":"https://orcid.org/0000-0002-3543-1324","contributorId":173440,"corporation":false,"usgs":false,"family":"Pruitt","given":"Tom","email":"","affiliations":[{"id":27228,"text":"Reclamation","active":true,"usgs":false}],"preferred":false,"id":652546,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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