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The technology and methods for making ADCP-based discharge measurements are different from the technology and methods used to make traditional discharge measurements with mechanical meters. Although the ADCP is a valuable tool for measuring streamflow, it is only accurate when used with appropriate techniques. This report presents guidance on the use of ADCPs for measuring streamflow; this guidance is based on the experience of U.S. Geological Survey employees and published reports, papers, and memorandums of the U.S. Geological Survey. The guidance is presented in a logical progression, from predeployment planning, to field data collection, and finally to post processing of the collected data. Acoustic Doppler technology and the instruments currently (2013) available also are discussed to highlight the advantages and limitations of the technology. More in-depth, technical explanations of how an ADCP measures streamflow and what to do when measuring in moving-bed conditions are presented in the appendixes. ADCP users need to know the proper procedures for measuring discharge from a moving boat and why those procedures are required, so that when the user encounters unusual field conditions, the procedures can be adapted without sacrificing the accuracy of the streamflow-measurement data.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Surface-water techniques in Book 3 <i>Applications of Hydraulics</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm3A22","collaboration":"This report is Chapter 22 of Section A: Surface-water techniques in Book 3 <i>Applications of Hydraulics</i>.","usgsCitation":"Mueller, D.S., Wagner, C., Rehmel, M.S., Oberg, K.A., and Rainville, F., 2013, Measuring discharge with acoustic Doppler current profilers from a moving boat (First posted January 22, 2009; Revised February 26, 2009; Version 2.0: March 5, 2014): U.S. Geological Survey Techniques and Methods 3-A22, xvi, 95 p., https://doi.org/10.3133/tm3A22.","productDescription":"xvi, 95 p.","numberOfPages":"116","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":283413,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm3A22.jpg"},{"id":12298,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/3a22/","linkFileType":{"id":5,"text":"html"}},{"id":283412,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/3a22/pdf/tm3a22.pdf"}],"edition":"First posted January 22, 2009; Revised February 26, 2009; Version 2.0: March 5, 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a28e4b07f02db61135e","contributors":{"authors":[{"text":"Mueller, David S. dmueller@usgs.gov","contributorId":1499,"corporation":false,"usgs":true,"family":"Mueller","given":"David","email":"dmueller@usgs.gov","middleInitial":"S.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":301484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Chad R. 0000-0002-9602-7413 cwagner@usgs.gov","orcid":"https://orcid.org/0000-0002-9602-7413","contributorId":1530,"corporation":false,"usgs":true,"family":"Wagner","given":"Chad R.","email":"cwagner@usgs.gov","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":301485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rehmel, Michael S. msrehmel@usgs.gov","contributorId":3723,"corporation":false,"usgs":true,"family":"Rehmel","given":"Michael","email":"msrehmel@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":301486,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oberg, Kevin A. kaoberg@usgs.gov","contributorId":928,"corporation":false,"usgs":true,"family":"Oberg","given":"Kevin","email":"kaoberg@usgs.gov","middleInitial":"A.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":301483,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rainville, Francois","contributorId":59895,"corporation":false,"usgs":true,"family":"Rainville","given":"Francois","email":"","affiliations":[],"preferred":false,"id":301487,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70040577,"text":"ds728 - 2012 - Temperature logging of groundwater in bedrock wells for geothermal gradient characterization in New Hampshire, 2012","interactions":[],"lastModifiedDate":"2020-11-03T15:28:31.701869","indexId":"ds728","displayToPublicDate":"2020-11-03T10:35:00","publicationYear":"2012","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":"728","title":"Temperature logging of groundwater in bedrock wells for geothermal gradient characterization in New Hampshire, 2012","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the New Hampshire Geological Survey, measured the fluid temperature of groundwater in deep bedrock wells in the State of New Hampshire in order to characterize geothermal gradients in bedrock. All wells selected for the study had low water yields, which correspond to low groundwater flow from fractures. This reduced the potential for flow-induced temperature changes that would mask the natural geothermal gradient in the bedrock. All the wells included in this study were privately owned, and permission to use the wells was obtained from homeowners before logging.</p>\n<p>Maximum groundwater temperatures at the bottom of the logs were between 11.7 and 17.3 degrees Celsius. Geothermal gradients were generally higher than typically reported for other water wells in the United States. Some of the high gradients were associated with high natural gamma emissions. Groundwater flow was discernible in 5 of the 10 wells studied but only obscured the portion of the geothermal gradient signal where groundwater actually flowed through the well. Temperature gradients varied by mapped bedrock type but can also vary by differences in mineralogy or rock type within the wells.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds728","collaboration":"Prepared in cooperation with the New Hampshire Geological Survey","usgsCitation":"Degnan, J., Barker, G., Olson, N., and Wilder, L., 2012, Temperature logging of groundwater in bedrock wells for geothermal gradient characterization in New Hampshire, 2012: U.S. Geological Survey Data Series 728, Report: vi; 19 p.; Temperature and gamma geophysical logs, https://doi.org/10.3133/ds728.","productDescription":"Report: vi; 19 p.; Temperature and gamma geophysical logs","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":466,"text":"New England Water Science 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,{"id":70009637,"text":"fs20123009 - 2012 - Core Science Systems—Mission overview","interactions":[],"lastModifiedDate":"2023-09-08T17:30:40.536115","indexId":"fs20123009","displayToPublicDate":"2019-10-03T10:05:00","publicationYear":"2012","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":"2012-3009","displayTitle":"Core Science Systems—Mission Overview","title":"Core Science Systems—Mission overview","docAbstract":"<p>The Core Science Systems Mission Area delivers nationally focused Earth systems and information science that provides fundamental research and data that underpins all Mission Areas of the USGS, the USGS Science Strategy, and Presidential, Secretarial, and societal priorities. —<i>Kevin T. Gallagher, Associate Director, Core Science Systems</i></p><p>The U.S. Geological Survey (USGS) Core Science Systems (CSS) Mission Area spans the Earth's \"Critical Zone\" (National Research Council, 2001). The Critical Zone is the near-surface interface that extends from the tops of the trees down to the base of the deepest groundwater.</p><p>CSS provides a foundation for all USGS Mission Areas, as well as for the mission of the Department of the Interior (DOI), in the following ways:</p><ul><li>Conducts basic and applied science research and development</li><li>Fosters broad understanding and application of analyses and information</li><li>Provides a framework for data and information sharing</li><li>Creates new geospatially enabled data and information</li><li>Provides technical expertise in standards and methods</li><li>Builds and facilitates partnerships and innovation</li></ul>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123009","usgsCitation":"Gallagher, K.T., 2012, Core Science Systems—Mission overview: U.S. Geological Survey Fact Sheet 2012–3009, 4 p.","productDescription":"4 p.","onlineOnly":"Y","costCenters":[{"id":210,"text":"Core Science Systems","active":false,"usgs":true}],"links":[{"id":204804,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2012/3009/coverthb.jpg"},{"id":367949,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3009/fs20123009.pdf","text":"Report","size":"5.58 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2012-3009"}],"contact":"<p><a href=\"https://www.usgs.gov/mission-areas/core-science-systems\" data-mce-href=\"https://www.usgs.gov/mission-areas/core-science-systems\">Core Science Systems</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, Virginia 20192</p>","tableOfContents":"<ul><li>Core Science Systems—Mission Overview</li><li>Mapping</li><li>Research</li><li>Standards</li><li>Synthesis</li><li>Collections</li><li>Partnerships</li><li>Reference Cited</li></ul>","publishedDate":"2012-03-05","noUsgsAuthors":false,"publicationDate":"2012-03-05","publicationStatus":"PW","scienceBaseUri":"5059fc0fe4b0c8380cd4e0df","contributors":{"authors":[{"text":"Gallagher, Kevin T. 0000-0002-0638-2578 kgallagher@usgs.gov","orcid":"https://orcid.org/0000-0002-0638-2578","contributorId":320,"corporation":false,"usgs":true,"family":"Gallagher","given":"Kevin","email":"kgallagher@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":356797,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70038739,"text":"70038739 - 2012 - Extreme floods in the Black Hills area: New insights from recent research","interactions":[],"lastModifiedDate":"2019-04-25T09:30:58","indexId":"70038739","displayToPublicDate":"2019-04-24T15:42:26","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Extreme floods in the Black Hills area: New insights from recent research","docAbstract":"Recent research provides clear geologic evidence that floods even larger than the lethal floods of 1972 have occurred repeatedly over recent millennia in the Black Hills of South Dakota. This information is vitally important for planning for flash flood events in this area.","publisherLocation":"Reston, VA","usgsCitation":"2012, Extreme floods in the Black Hills area: New insights from recent research.","ipdsId":"IP-038367","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":363199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","noUsgsAuthors":false,"publicationStatus":"PW"}
,{"id":70203116,"text":"twri09A6.8 - 2012 - Chapter A6. Section 6.8.  Use of multiparameter instruments for routine field measurements","interactions":[{"subject":{"id":70203116,"text":"twri09A6.8 - 2012 - Chapter A6. Section 6.8.  Use of multiparameter instruments for routine field measurements","indexId":"twri09A6.8","publicationYear":"2012","noYear":false,"displayTitle":"Chapter A6. Section 6.8. Use of Multiparameter Instruments for Routine Field Measurements","title":"Chapter A6. Section 6.8.  Use of multiparameter instruments for routine field measurements"},"predicate":"SUPERSEDED_BY","object":{"id":70250098,"text":"tm9A6.8 - 2023 - Use of multiparameter instruments for routine field measurements","indexId":"tm9A6.8","publicationYear":"2023","noYear":false,"title":"Use of multiparameter instruments for routine field measurements"},"id":1}],"supersededBy":{"id":70250098,"text":"tm9A6.8 - 2023 - Use of multiparameter instruments for routine field measurements","indexId":"tm9A6.8","publicationYear":"2023","noYear":false,"title":"Use of multiparameter instruments for routine field measurements"},"lastModifiedDate":"2023-11-28T20:27:15.012999","indexId":"twri09A6.8","displayToPublicDate":"2019-04-24T10:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":336,"text":"Techniques of Water-Resources Investigations","code":"TWRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"09-A6.8","displayTitle":"Chapter A6. Section 6.8. Use of Multiparameter Instruments for Routine Field Measurements","title":"Chapter A6. Section 6.8.  Use of multiparameter instruments for routine field measurements","docAbstract":"<p>The miniaturization of sensors and other technological advances in electronics have resulted in water-quality instruments that house multiple sensors capable of simultaneous readings for various field measurements in environmental waters. With the use of these multiparameter instruments, field measurements can be determined with considerable reduction in the field work that generally is required when using multiple single-parameter instruments. This section addresses the short-term or discrete-measurement use of portable multiparameter instruments. Each chapter of the National Field Manual is published separately and revised periodically. Newly published and revised chapters will be announced on the USGS Home Page on the World Wide Web under 'New Publications of the U.S. Geological Survey.'</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/twri09A6.8","usgsCitation":"Gibs, J., Wilde, F., and Heckathorn, H.A., 2012, Chapter A6. Section 6.8.  Use of multiparameter instruments for routine field measurements: U.S. Geological Survey Techniques of Water-Resources Investigations 09-A6.8, 48 p., https://doi.org/10.3133/twri09A6.8.","productDescription":"48 p.","numberOfPages":"48","costCenters":[],"links":[{"id":363158,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/twri/twri9a6/twri9a68/coverthb.jpg"},{"id":363696,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/tm9A0","text":"Techniques and Methods 9-AO","linkHelpText":"- General Introduction for the “National Field Manual for the Collection of Water-Quality Data”"},{"id":363131,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/twri/twri9a6/twri9a68/twri9a6_6.8.pdf","text":"Report March 2012","size":"1.70 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TWRI 9a6.8"}],"contact":"<p><a href=\"https://www.usgs.gov/mission-areas/water-resources?qt-mission_areas_l2_landing_page_ta=0#qt-mission_areas_l2_landing_page_ta\" data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources?qt-mission_areas_l2_landing_page_ta=0#qt-mission_areas_l2_landing_page_ta\">Water Mission Area</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p>Email: <a href=\"mailto:nfm@usgs.gov\" data-mce-href=\"mailto:nfm@usgs.gov\">nfm@usgs.gov</a></p>","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gibs, Jacob jgibs@usgs.gov","contributorId":1729,"corporation":false,"usgs":true,"family":"Gibs","given":"Jacob","email":"jgibs@usgs.gov","affiliations":[],"preferred":true,"id":761317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilde, Franceska D. fwilde@usgs.gov","contributorId":1727,"corporation":false,"usgs":true,"family":"Wilde","given":"Franceska D.","email":"fwilde@usgs.gov","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":false,"id":761318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heckathorn, Heather A. haheck@usgs.gov","contributorId":1728,"corporation":false,"usgs":true,"family":"Heckathorn","given":"Heather","email":"haheck@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":761319,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70201698,"text":"70201698 - 2012 - Extended Abstract: Geologic evaluation of regional production trends in the Upper Cretaceous Austin Chalk","interactions":[],"lastModifiedDate":"2019-06-20T08:45:47","indexId":"70201698","displayToPublicDate":"2018-12-21T13:36:55","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5794,"text":"GCAGS Transactions","active":true,"publicationSubtype":{"id":10}},"title":"Extended Abstract: Geologic evaluation of regional production trends in the Upper Cretaceous Austin Chalk","docAbstract":"<p><span>The Upper Cretaceous Austin Chalk, which extends across Texas and Louisiana, is characterized by reservoirs that produce oil, gas, and in some cases, anomalously large amounts of water. Reservoirs typically have low matrix permeability and contain natural fractures. Horizontal drilling has been used to enhance and connect these fracture systems to drain the reservoir more effectively. Although the formation contains continuous (unconventional) reservoirs, it behaves as a hybrid system, wherein varied geologic settings yield both continuous and conventional accumulations.</span></p>","language":"English ","publisher":"Gulf Coast Association of Geological Societies ","usgsCitation":"Pearson, K.M., 2012, Extended Abstract: Geologic evaluation of regional production trends in the Upper Cretaceous Austin Chalk: GCAGS Transactions, v. 62, p. 593-597.","productDescription":"5 p.","startPage":"593","endPage":"597","ipdsId":"IP-037878","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":360701,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360684,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://archives.datapages.com/data/gcags/data/062/062001/593_gcags620593.htm"}],"country":"United States","state":"Louisiana, Texas","otherGeospatial":"Upper Cretaceous Austin Chalk","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -102.0,24.0 ], [ -102.0,36.5 ], [ -78.0,36.5 ], [ -78.0,24.0 ], [ -102.0,24.0 ] ] ] } } ] }","volume":"62","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1e0a33e4b0708288cb022b","contributors":{"authors":[{"text":"Pearson, Krystal M. kpearson@usgs.gov","contributorId":3861,"corporation":false,"usgs":true,"family":"Pearson","given":"Krystal","email":"kpearson@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":754927,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70188394,"text":"70188394 - 2012 - The western limits of the Seattle fault zone and its interaction with the Olympic Peninsula, Washington","interactions":[],"lastModifiedDate":"2017-06-07T14:55:49","indexId":"70188394","displayToPublicDate":"2017-06-07T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"The western limits of the Seattle fault zone and its interaction with the Olympic Peninsula, Washington","docAbstract":"We present evidence that the Seattle fault zone of Washington State extends to the west edge of the Puget Lowland and is kinemati-cally linked to active faults that border the Olympic Massif, including the Saddle Moun-tain deformation zone. Newly acquired high-resolution seismic reflection and marine magnetic data suggest that the Seattle fault zone extends west beyond the Seattle Basin to form a >100-km-long active fault zone. We provide evidence for a strain transfer zone, expressed as a broad set of faults and folds connecting the Seattle and Saddle Mountain deformation zones near Hood Canal. This connection provides an explanation for the apparent synchroneity of M7 earthquakes on the two fault systems ~1100 yr ago. We redeﬁ ne the boundary of the Tacoma Basin to include the previously termed Dewatto basin and show that the Tacoma fault, the southern part of which is a backthrust of the Seattle fault zone, links with a previously unidentiﬁ ed fault along the western margin of the Seattle uplift. We model this north-south fault, termed the Dewatto fault, along the western margin of the Seattle uplift as a low-angle thrust that initiated with exhu-mation of the Olympic Massif and today accommodates north-directed motion. The Tacoma and Dewatto faults likely control both the southern and western boundaries of the Seattle uplift. The inferred strain trans-fer zone linking the Seattle fault zone and Saddle Mountain deformation zone deﬁ nes the northern margin of the Tacoma Basin, and the Saddle Mountain deformation zone forms the northwestern boundary of the Tacoma Basin. Our observations and model suggest that the western portions of the Seattle fault zone and Tacoma fault are com-plex, require temporal variations in principal strain directions, and cannot be modeled as a simple thrust and/or backthrust system.","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00780.1","usgsCitation":"Lamb, A., L.M. Liberty, Blakely, R.J., Pratt, T.L., Sherrod, B., and Van Wijk, K., 2012, The western limits of the Seattle fault zone and its interaction with the Olympic Peninsula, Washington: Geosphere, v. 8, no. 4, p. 915-930, https://doi.org/10.1130/GES00780.1.","productDescription":"16 p.","startPage":"915","endPage":"930","ipdsId":"IP-034586","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":474076,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00780.1","text":"Publisher Index Page"},{"id":342262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","city":"Seattle","otherGeospatial":"Seattle Fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.6016845703125,\n              47.111261437080344\n            ],\n            [\n              -122.03338623046874,\n              47.111261437080344\n            ],\n            [\n              -122.03338623046874,\n              47.90529605906089\n            ],\n            [\n              -123.6016845703125,\n              47.90529605906089\n            ],\n            [\n              -123.6016845703125,\n              47.111261437080344\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593910b5e4b0764e6c5e88f9","contributors":{"authors":[{"text":"Lamb, A.P.","contributorId":192732,"corporation":false,"usgs":false,"family":"Lamb","given":"A.P.","email":"","affiliations":[],"preferred":false,"id":697536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"L.M. Liberty","contributorId":192733,"corporation":false,"usgs":false,"family":"L.M. Liberty","affiliations":[],"preferred":false,"id":697537,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blakely, Richard J. 0000-0003-1701-5236 blakely@usgs.gov","orcid":"https://orcid.org/0000-0003-1701-5236","contributorId":1540,"corporation":false,"usgs":true,"family":"Blakely","given":"Richard","email":"blakely@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":697534,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":3279,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":697535,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherrod, B.L.","contributorId":68937,"corporation":false,"usgs":true,"family":"Sherrod","given":"B.L.","email":"","affiliations":[],"preferred":false,"id":697538,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van Wijk, K.","contributorId":16551,"corporation":false,"usgs":true,"family":"Van Wijk","given":"K.","email":"","affiliations":[],"preferred":false,"id":697539,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70187484,"text":"70187484 - 2012 - Priority effects among young‐of‐the‐year fish: reduced growth of bluegill sunfish (Lepomis macrochirus) caused by yellow perch (Perca flavescens)?","interactions":[],"lastModifiedDate":"2018-03-23T13:43:45","indexId":"70187484","displayToPublicDate":"2017-05-05T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Priority effects among young-of-the-year fish: Reduced growth of bluegill sunfish (<i>Lepomis macrochirus</i>) caused by yellow perch (<i>Perca flavescens</i>)?","title":"Priority effects among young‐of‐the‐year fish: reduced growth of bluegill sunfish (Lepomis macrochirus) caused by yellow perch (Perca flavescens)?","docAbstract":"<p>1. When available, <i>Daphnia</i> spp. are often preferred by age-0 yellow perch and bluegill sunfish because of energetic profitability. We hypothesised that predation by age-0 yellow perch could lead to a midsummer decline (MSD) of <i>Daphnia</i> spp. and that priority effects may favour yellow perch because they hatch before bluegill, allowing them to capitalise on <i>Daphnia</i> spp. prior to bluegill emergence.<br></p><p>2. Data were collected from 2004 to 2010 in Pelican Lake, Nebraska, U.S.A. The lake experienced a prolonged MSD in all but 1&nbsp;year (2005), generally occurring within the first 2&nbsp;weeks of June except in 2008 and 2010 when it occurred at the end of June. MSD timing is not solely related to seasonal patterns of age-0 yellow perch consumption. Nevertheless, when <i>Daphnia</i> spp. biomass was low during 2004 and 2006–2010 (&lt;4&nbsp;mg&nbsp;wet weight&nbsp;L<sup>−1</sup>), predation by age-0 yellow perch seems to have suppressed <i>Daphnia</i> spp. biomass (i.e. &lt;1.0&nbsp;mg&nbsp;wet weight&nbsp;L<sup>−1</sup>). The exception was 2005 when age-0 yellow perch were absent.</p><p>3. Growth of age-0 bluegill was significantly faster in 2005, when <i>Daphnia</i> spp. were available in greater densities (&gt;4&nbsp;mg&nbsp;wet weight&nbsp;L<sup>−1</sup>) compared with the other years (&lt;0.2&nbsp;mg&nbsp;wet weight&nbsp;L<sup>−1</sup>).</p><p>4. We conclude that age-0 yellow perch are capable of reducing <i>Daphnia</i> biomass prior to the arrival of age-0 bluegill, ultimately slowing bluegill growth. Thus, priority effects favour age-0 yellow perch when competing with age-0 bluegill for <i>Daphnia</i>. However, these effects may be minimised if there is a shorter time between hatching of the two species, higher <i>Daphnia</i> spp. densities or lower age-0 yellow perch densities.</p>","language":"English","publisher":"Blackwell Publishing","doi":"10.1111/j.1365-2427.2011.02728.x","usgsCitation":"Kaemingk, M.A., Jolley, J.C., Willis, D.W., and Chipps, S.R., 2012, Priority effects among young‐of‐the‐year fish: reduced growth of bluegill sunfish (Lepomis macrochirus) caused by yellow perch (Perca flavescens)?: Freshwater Biology, v. 57, no. 4, p. 654-665, https://doi.org/10.1111/j.1365-2427.2011.02728.x.","productDescription":"12 p.","startPage":"654","endPage":"665","ipdsId":"IP-034020","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474077,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-2427.2011.02728.x","text":"Publisher Index 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PSC"},"noUsgsAuthors":false,"publicationDate":"2012-01-09","publicationStatus":"PW","scienceBaseUri":"590d8f31e4b0e541a03a8356","contributors":{"authors":[{"text":"Kaemingk, Mark A.","contributorId":40510,"corporation":false,"usgs":true,"family":"Kaemingk","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":694267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jolley, Jeff C.","contributorId":49691,"corporation":false,"usgs":true,"family":"Jolley","given":"Jeff","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":694268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Willis, David W.","contributorId":55313,"corporation":false,"usgs":true,"family":"Willis","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":694269,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":694139,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70184182,"text":"70184182 - 2012 - Partly cloudy with a chance of migration: Weather, radars, and aeroecology","interactions":[],"lastModifiedDate":"2017-03-01T18:36:32","indexId":"70184182","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"title":"Partly cloudy with a chance of migration: Weather, radars, and aeroecology","docAbstract":"<p>Aeroecology is an emerging scientific discipline that integrates atmospheric science, Earth science, geography, ecology, computer science, computational biology, and engineering to further the understanding of biological patterns and processes. The unifying concept underlying this new transdisciplinary field of study is a focus on the planetary boundary layer and lower free atmosphere (i.e., the aerosphere), and the diversity of airborne organisms that inhabit and depend on the aerosphere for their existence. Here, we focus on the role of radars and radar networks in aeroecological studies. Radar systems scanning the atmosphere are primarily used to monitor weather conditions and track the location and movements of aircraft. However, radar echoes regularly contain signals from other sources, such as airborne birds, bats, and arthropods. We briefly discuss how radar observations can be and have been used to study a variety of airborne organisms and examine some of the many potential benefits likely to arise from radar aeroecology for meteorological and biological research over a wide range of spatial and temporal scales. Radar systems are becoming increasingly sophisticated with the advent of innovative signal processing and dual-polarimetric capabilities. These capabilities should be better harnessed to promote both meteorological and aeroecological research and to explore the interface between these two broad disciplines. We strongly encourage close collaboration among meteorologists, radar scientists, biologists, and others toward developing radar products that will contribute to a better understanding of airborne fauna.</p>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/BAMS-D-11-00099.1","usgsCitation":"Chilson, P.B., Frick, W.F., Kelly, J.F., Howard, K.W., Larkin, R.P., Diehl, R.H., Westbrook, J.K., Kelly, T.A., and Kunz, T.H., 2012, Partly cloudy with a chance of migration: Weather, radars, and aeroecology: Bulletin of the American Meteorological Society, v. 93, no. 5, p. 669-686, https://doi.org/10.1175/BAMS-D-11-00099.1.","productDescription":"18 p.","startPage":"669","endPage":"686","ipdsId":"IP-027692","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":474078,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/bams-d-11-00099.1","text":"Publisher Index Page"},{"id":336790,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-05-01","publicationStatus":"PW","scienceBaseUri":"58b7eba9e4b01ccd5500bb2b","contributors":{"authors":[{"text":"Chilson, Phillip B.","contributorId":187418,"corporation":false,"usgs":false,"family":"Chilson","given":"Phillip","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":680382,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frick, Winifred F.","contributorId":187420,"corporation":false,"usgs":false,"family":"Frick","given":"Winifred","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":680384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelly, Jeffrey F.","contributorId":187416,"corporation":false,"usgs":false,"family":"Kelly","given":"Jeffrey","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":680380,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howard, Kenneth W.","contributorId":187417,"corporation":false,"usgs":false,"family":"Howard","given":"Kenneth","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":680381,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larkin, Ronald P.","contributorId":187419,"corporation":false,"usgs":false,"family":"Larkin","given":"Ronald","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":680383,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Diehl, Robert H. 0000-0001-9141-1734 rhdiehl@usgs.gov","orcid":"https://orcid.org/0000-0001-9141-1734","contributorId":3396,"corporation":false,"usgs":true,"family":"Diehl","given":"Robert","email":"rhdiehl@usgs.gov","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":680379,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Westbrook, John K.","contributorId":187421,"corporation":false,"usgs":false,"family":"Westbrook","given":"John","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":680385,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kelly, T. Adam","contributorId":187422,"corporation":false,"usgs":false,"family":"Kelly","given":"T.","email":"","middleInitial":"Adam","affiliations":[],"preferred":false,"id":680386,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kunz, Thomas H.","contributorId":73325,"corporation":false,"usgs":true,"family":"Kunz","given":"Thomas","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":680387,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70182709,"text":"70182709 - 2012 - Relations between altered stramflow variability and fish assemblages in Eastern USA streams","interactions":[],"lastModifiedDate":"2017-02-27T12:24:11","indexId":"70182709","displayToPublicDate":"2017-02-27T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Relations between altered stramflow variability and fish assemblages in Eastern USA streams","docAbstract":"<p><span>Although altered streamflow has been implicated as a major factor affecting fish assemblages, understanding the extent of streamflow alteration has required quantifying attributes of the natural flow regime. We used predictive models to quantify deviation from expected natural streamflow variability for streams in the eastern USA. Sites with &gt;25% change in mean daily streamflow variability compared with what would be expected in a minimally disturbed environment were defined as having altered streamflow variability, based on the 10th and 90th percentiles of the distribution of streamflow variability at 1279 hydrological reference sites. We also used predictive models to assess fish assemblage condition and native species loss based on the proportion of expected native fish species that were observed. Of the 97 sites, 49 (50.5%) were classified as altered with reduced streamflow variability, whereas no sites had increased streamflow variability. Reduced streamflow variability was related to a 35% loss in native fish species, on average, and a &gt;50% loss of species with a preference for riffle habitats. Conditional probability analysis indicated that the probability of fish assemblage impairment increased as the severity of altered streamflow variability increased. Reservoir storage capacity and wastewater discharges were important predictors of reduced streamflow variability as revealed by random forest analysis. Management and conservation of streams will require careful consideration of natural streamflow variation and potential factors contributing to altered streamflow within the entire watershed to limit the loss of critical stream habitats and fish species uniquely adapted to live in those habitats.</span></p>","language":"English","publisher":"John Wiley & Sons","publisherLocation":"Chichester, West Sussex, UK","doi":"10.1002/rra.1534","usgsCitation":"Meador, M., and Carlisle, D.M., 2012, Relations between altered stramflow variability and fish assemblages in Eastern USA streams: River Research and Applications, v. 28, no. 9, p. 1359-1368, https://doi.org/10.1002/rra.1534.","productDescription":"10 p.","startPage":"1359","endPage":"1368","ipdsId":"IP-023347","costCenters":[{"id":451,"text":"National Water Quality Assessment 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 \"}}]}\n","volume":"28","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2011-05-20","publicationStatus":"PW","scienceBaseUri":"58b548c4e4b01ccd54fddfde","contributors":{"authors":[{"text":"Meador, Michael R. mrmeador@usgs.gov","contributorId":615,"corporation":false,"usgs":true,"family":"Meador","given":"Michael R.","email":"mrmeador@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":673386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":673385,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70179705,"text":"70179705 - 2012 - Assessment of salinity intrusion in the James and Chickahominy Rivers as a result of simulated sea-level rise in Chesapeake Bay, East Coast, USA","interactions":[],"lastModifiedDate":"2017-01-13T09:12:03","indexId":"70179705","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2012","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":"Assessment of salinity intrusion in the James and Chickahominy Rivers as a result of simulated sea-level rise in Chesapeake Bay, East Coast, USA","docAbstract":"<p><span>Global sea level is rising, and the relative rate in the Chesapeake Bay region of the East Coast of the United States is greater than the worldwide rate. Sea-level rise can cause saline water to migrate upstream in estuaries and rivers, threatening freshwater habitat and drinking-water supplies. The effects of future sea-level rise on two tributaries of Chesapeake Bay, the James and Chickahominy (CHK) Rivers, were evaluated in order to quantify the salinity change with respect to the magnitude of sea-level rise. Such changes are critical to: 1) local floral and faunal habitats that have limited tolerance ranges to salinity; and 2) a drinking-water supply for the City of Newport News, Virginia. By using the three-dimensional Hydrodynamic-Eutrophication Model (HEM-3D), sea-level rise scenarios of 30, 50, and 100&nbsp;cm, based on the U.S. Climate Change Science Program for the mid-Atlantic region for the 21st century, were evaluated. The model results indicate that salinity increases in the entire river as sea level rises and that the salinity increase in a dry year is greater than that in a typical year. In the James River, the salinity increase in the middle-to-upper river (from 25 to 50&nbsp;km upstream of the mouth) is larger than that in the lower and upper parts of the river. The maximum mean salinity increase would be 2 and 4&nbsp;ppt for a sea-level rise of 50 and 100&nbsp;cm, respectively. The upstream movement of the 10&nbsp;ppt isohaline is much larger than the 5 and 20&nbsp;ppt isohalines. The volume of water with salinity between 10 and 20&nbsp;ppt would increase greatly if sea level rises 100&nbsp;cm. In the CHK River, with a sea-level rise of 100&nbsp;cm, the mean salinity at the drinking-water intake 34&nbsp;km upstream of the mouth would be about 3&nbsp;ppt in a typical year and greater than 5&nbsp;ppt in a dry year, both far in excess of the U.S. Environmental Protection Agency's secondary standard for total dissolved solids for drinking water. At the drinking-water intake, the number of days of salinity greater than 0.1&nbsp;ppt increases with increasing sea-level rise; during a dry year, 0.1&nbsp;ppt would be exceeded for more than 100 days with as small a rise as 30&nbsp;cm.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2012.06.036","usgsCitation":"Rice, K.C., Hong, B., and Jian Shen, 2012, Assessment of salinity intrusion in the James and Chickahominy Rivers as a result of simulated sea-level rise in Chesapeake Bay, East Coast, USA: Journal of Environmental Management, v. 111, p. 61-69, https://doi.org/10.1016/j.jenvman.2012.06.036.","productDescription":"9 p.","startPage":"61","endPage":"69","ipdsId":"IP-023181","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":333128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","city":"Newport News","otherGeospatial":"Chesepeake Bay, Chickahominy River, James River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.794189453125,\n              36.76529191711624\n            ],\n            [\n              -77.794189453125,\n              39.74943369178247\n            ],\n            [\n              -75.662841796875,\n              39.74943369178247\n            ],\n            [\n              -75.662841796875,\n              36.76529191711624\n            ],\n            [\n              -77.794189453125,\n              36.76529191711624\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"111","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5878a492e4b04df303d95822","contributors":{"authors":[{"text":"Rice, Karen C. 0000-0002-9356-5443 kcrice@usgs.gov","orcid":"https://orcid.org/0000-0002-9356-5443","contributorId":178269,"corporation":false,"usgs":true,"family":"Rice","given":"Karen","email":"kcrice@usgs.gov","middleInitial":"C.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":658356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hong, Bo","contributorId":178276,"corporation":false,"usgs":false,"family":"Hong","given":"Bo","email":"","affiliations":[],"preferred":false,"id":658357,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jian Shen","contributorId":178277,"corporation":false,"usgs":false,"family":"Jian Shen","affiliations":[],"preferred":false,"id":658358,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70179703,"text":"70179703 - 2012 - Acidification of Earth: An assessment across mechanisms and scales","interactions":[],"lastModifiedDate":"2017-01-12T15:02:32","indexId":"70179703","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Acidification of Earth: An assessment across mechanisms and scales","docAbstract":"<p><span>In this review article, anthropogenic activities that cause acidification of Earth’s air, waters, and soils are examined. Although there are many mechanisms of acidification, the focus is on the major ones, including emissions from combustion of fossil fuels and smelting of ores, mining of coal and metal ores, and application of nitrogen fertilizer to soils, by elucidating the underlying biogeochemical reactions as well as assessing the magnitude of the effects. These widespread activities have resulted in (1) increased CO</span><sub>2</sub><span>concentration in the atmosphere that acidifies the oceans; (2) acidic atmospheric deposition that acidifies soils and bodies of freshwater; (3) acid mine drainage that acidifies bodies of freshwater and groundwaters; and (4) nitrification that acidifies soils. Although natural geochemical reactions of mineral weathering and ion exchange work to buffer acidification, the slow reaction rates or the limited abundance of reactant phases are overwhelmed by the onslaught of anthropogenic acid loading. Relatively recent modifications of resource extraction and usage in some regions of the world have begun to ameliorate local acidification, but expanding use of resources in other regions is causing environmental acidification in previously unnoticed places. World maps of coal consumption, Cu mining and smelting, and N fertilizer application are presented to demonstrate the complex spatial heterogeneity of resource consumption as well as the overlap in acidifying potential derived from distinctly different phenomena. Projected population increase by country over the next four decades indicates areas with the highest potential for acidification, so enabling anticipation and planning to offset or mitigate the deleterious environmental effects associated with these global shifts in the consumption of energy, mineral, and food resources.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2011.09.001","usgsCitation":"Rice, K.C., and Herman, J.S., 2012, Acidification of Earth: An assessment across mechanisms and scales: Applied Geochemistry, v. 27, no. 1, https://doi.org/10.1016/j.apgeochem.2011.09.001.","productDescription":"15 p.","startPage":"14","ipdsId":"IP-023200","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":333113,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"1","edition":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5878a492e4b04df303d95824","contributors":{"authors":[{"text":"Rice, Karen C. 0000-0002-9356-5443 kcrice@usgs.gov","orcid":"https://orcid.org/0000-0002-9356-5443","contributorId":178269,"corporation":false,"usgs":true,"family":"Rice","given":"Karen","email":"kcrice@usgs.gov","middleInitial":"C.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":658347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herman, Janet S.","contributorId":62138,"corporation":false,"usgs":true,"family":"Herman","given":"Janet","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":658348,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70179915,"text":"70179915 - 2012 - Groundwater conditions in Utah, spring of 2012","interactions":[],"lastModifiedDate":"2019-05-22T09:25:23","indexId":"70179915","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":110,"text":"Cooperative Investigations Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"53","title":"Groundwater conditions in Utah, spring of 2012","docAbstract":"<p>This is the forty-ninth in a series of annual reports that describe groundwater conditions in Utah. Reports in this series, published cooperatively by the U.S. Geological Survey and the Utah Department of Natural Resources, Division of Water Rights, and the Utah Department of Environmental Quality, Division of Water Quality, provide data to enable interested parties to maintain awareness of changing groundwater conditions. </p><p>This report, like the others in the series, contains information on well construction, groundwater withdrawal from wells, water-level changes, precipitation, streamflow, and chemical quality of water. Information on well construction included in this report refers only to wells constructed for new appropriations of groundwater. Supplementary data are included in reports of this series only for those years or areas that are important to a discussion of changing groundwater conditions and for which applicable data are available.</p><p>This report includes individual discussions of selected significant areas of groundwater development in the State for calendar year 2011. Most of the reported data were collected by the U.S. Geological Survey in cooperation with the Utah Department of Natural Resources, Division of Water Rights, and the Utah Department of Environmental Quality, Division of Water Quality. This report is also available online at http:// www.waterrights.utah.gov/techinfo/ and http://ut.water.usgs. gov/publications/GW2012.pdf. Groundwater conditions in Utah for calendar year 2010 are reported in Burden and others (2011) and available online at http://ut.water.usgs.gov/ publications/GW2011.pdf.</p>","language":"English","publisher":"Utah Department of Natural Resources","publisherLocation":"Salt Lake City, UT","collaboration":"Prepared in cooperation with the Utah Department of Natural Resources, Division of Water Rights, and Utah Department of Environmental Quality, Division of Water Quality","usgsCitation":"Burden, C.B., Allen, D.V., Holt, C.M., Fisher, M.J., Downhour, P., Smith, L., Eacret, R.J., Gibson, T.L., Slaugh, B.A., Whittier, N.R., Howells, J.H., and Christiansen, H.K., 2012, Groundwater conditions in Utah, spring of 2012: Cooperative Investigations Report 53, x, 118 p.","productDescription":"x, 118 p.","numberOfPages":"132","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":364082,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://waterrights.utah.gov/techinfo/wwwpub/GW2012.pdf"},{"id":333546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58833023e4b0d0023163779c","contributors":{"authors":[{"text":"Burden, Carole B. cburden@usgs.gov","contributorId":852,"corporation":false,"usgs":true,"family":"Burden","given":"Carole","email":"cburden@usgs.gov","middleInitial":"B.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":659193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, David V.","contributorId":75989,"corporation":false,"usgs":true,"family":"Allen","given":"David","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":660118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holt, Christopher M.","contributorId":178613,"corporation":false,"usgs":false,"family":"Holt","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":660119,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Martel J. mjfisher@usgs.gov","contributorId":4410,"corporation":false,"usgs":true,"family":"Fisher","given":"Martel","email":"mjfisher@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":660120,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Downhour, Paul downhour@usgs.gov","contributorId":968,"corporation":false,"usgs":true,"family":"Downhour","given":"Paul","email":"downhour@usgs.gov","affiliations":[],"preferred":true,"id":660121,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Lincoln","contributorId":178614,"corporation":false,"usgs":false,"family":"Smith","given":"Lincoln","affiliations":[],"preferred":false,"id":660122,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eacret, Robert J. rjeacret@usgs.gov","contributorId":971,"corporation":false,"usgs":true,"family":"Eacret","given":"Robert","email":"rjeacret@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":660123,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gibson, Travis L.","contributorId":178615,"corporation":false,"usgs":false,"family":"Gibson","given":"Travis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":660124,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Slaugh, Bradley A. baslaugh@usgs.gov","contributorId":966,"corporation":false,"usgs":true,"family":"Slaugh","given":"Bradley","email":"baslaugh@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":660125,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Whittier, Nickolas R.","contributorId":178616,"corporation":false,"usgs":false,"family":"Whittier","given":"Nickolas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":660126,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Howells, James H. jhowells@usgs.gov","contributorId":969,"corporation":false,"usgs":true,"family":"Howells","given":"James","email":"jhowells@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":660127,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Christiansen, Howard K.","contributorId":47830,"corporation":false,"usgs":true,"family":"Christiansen","given":"Howard","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":660128,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70037941,"text":"70037941 - 2012 - Predicting ecological flow regime at ungaged sites: A comparison of methods","interactions":[],"lastModifiedDate":"2017-01-05T16:10:32","indexId":"70037941","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Predicting ecological flow regime at ungaged sites: A comparison of methods","docAbstract":"<p><span>Nineteen ecologically relevant streamflow characteristics were estimated using published rainfall–runoff and regional regression models for six sites with observed daily streamflow records in Kentucky. The regional regression model produced median estimates closer to the observed median for all but two characteristics. The variability of predictions from both models was generally less than the observed variability. The variability of the predictions from the rainfall–runoff model was greater than that from the regional regression model for all but three characteristics. Eight characteristics predicted by the rainfall–runoff model display positive or negative bias across all six sites; biases are not as pronounced for the regional regression model. Results suggest that a rainfall–runoff model calibrated on a single characteristic is less likely to perform well as a predictor of a range of other characteristics (flow regime) when compared with a regional regression model calibrated individually on multiple characteristics used to represent the flow regime. Poor model performance may misrepresent hydrologic conditions, potentially distorting the perceived risk of ecological degradation. Without prior selection of streamflow characteristics, targeted calibration, and error quantification, the widespread application of general hydrologic models to ecological flow studies is problematic. Published 2012. This article is a U.S. Government work and is in the public domain in the USA.</span></p>","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/rra.2570","usgsCitation":"Murphy, J.C., Knight, R., Wolfe, W., and Gain, W.S., 2012, Predicting ecological flow regime at ungaged sites: A comparison of methods: River Research and Applications, v. 29, no. 5, p. 660-669, https://doi.org/10.1002/rra.2570.","productDescription":"10 p.","startPage":"660","endPage":"669","ipdsId":"IP-033156","costCenters":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"links":[{"id":332936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kentucky, Tennessee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.43994140625,\n              37.055177106660814\n            ],\n            [\n              -88.29711914062499,\n              34.97600151317588\n            ],\n            [\n              -86.396484375,\n              34.288991865037524\n            ],\n            [\n              -83.73779296875,\n              34.542762387234845\n            ],\n            [\n              -82.63916015625,\n              35.092945313732635\n            ],\n            [\n              -81.463623046875,\n              37.21283151445594\n            ],\n            [\n              -82.012939453125,\n              37.448696585910376\n            ],\n            [\n              -85.71533203125,\n              37.26530995561875\n            ],\n            [\n              -88.143310546875,\n              37.1165261849112\n            ],\n            [\n              -88.43994140625,\n              37.055177106660814\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"29","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-04-13","publicationStatus":"PW","scienceBaseUri":"586f69a8e4b01a71ba0bc90b","contributors":{"authors":[{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":4281,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":514105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knight, Rodney R. rrknight@usgs.gov","contributorId":2272,"corporation":false,"usgs":true,"family":"Knight","given":"Rodney R.","email":"rrknight@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":false,"id":514104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolfe, William J. wjwolfe@usgs.gov","contributorId":1888,"corporation":false,"usgs":true,"family":"Wolfe","given":"William J.","email":"wjwolfe@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":false,"id":514103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gain, W. Scott wsgain@usgs.gov","contributorId":346,"corporation":false,"usgs":true,"family":"Gain","given":"W.","email":"wsgain@usgs.gov","middleInitial":"Scott","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":514102,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179708,"text":"70179708 - 2012 - Evaluation of Bayesian estimation of a hidden continuous-time Markov chain model with application to threshold violation in water-quality indicators","interactions":[],"lastModifiedDate":"2018-01-10T18:47:51","indexId":"70179708","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5261,"text":"Journal of Environmental Informatics","onlineIssn":"16848799","printIssn":"17262135","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of Bayesian estimation of a hidden continuous-time Markov chain model with application to threshold violation in water-quality indicators","docAbstract":"<p><span>Natural resource managers require information concerning&nbsp;&nbsp;the frequency, duration, and long-term probability of occurrence of water-quality indicator (WQI) violations of defined thresholds. The timing of these threshold crossings often is hidden from the observer, who is restricted to relatively infrequent observations. Here, a model for the hidden process is linked with a model for the observations, and the parameters describing duration, return period, and long-term probability of occurrence are estimated using Bayesian methods. A simulation experiment is performed to evaluate the approach under scenarios based on the equivalent of a total monitoring period of 5-30 years and an observation frequency of 1-50 observations per year. Given constant threshold crossing rate, accuracy and precision of parameter estimates increased with longer total monitoring period and more-frequent observations. Given fixed monitoring period and observation frequency, accuracy and precision of parameter estimates increased with longer times between threshold crossings. For most cases where the long-term probability of being in violation is greater than 0.10, it was determined that at least 600 observations are needed to achieve precise estimates.&nbsp;&nbsp;An application of the approach is presented using 22 years of quasi-weekly observations of acid-neutralizing capacity from Deep Run, a stream in Shenandoah National Park, Virginia. The time series also was sub-sampled to simulate monthly and semi-monthly sampling protocols. Estimates of the long-term probability of violation were unbiased despite sampling frequency; however, the expected duration and return period were over-estimated using the sub-sampled time series with respect to the full quasi-weekly time series.</span></p>","language":"English","publisher":"International Society for Environmental Information Services","doi":"10.3808/jei.201200210","usgsCitation":"Deviney, F.A., Rice, K.C., and Brown, D.E., 2012, Evaluation of Bayesian estimation of a hidden continuous-time Markov chain model with application to threshold violation in water-quality indicators: Journal of Environmental Informatics, v. 19, no. 2, p. 70-78, https://doi.org/10.3808/jei.201200210.","productDescription":"9 p.","startPage":"70","endPage":"78","ipdsId":"IP-023202","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":474079,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3808/jei.201200210","text":"Publisher Index Page"},{"id":333124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5878a491e4b04df303d95820","contributors":{"authors":[{"text":"Deviney, Frank A.","contributorId":22447,"corporation":false,"usgs":true,"family":"Deviney","given":"Frank","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":658364,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rice, Karen C. 0000-0002-9356-5443 kcrice@usgs.gov","orcid":"https://orcid.org/0000-0002-9356-5443","contributorId":178269,"corporation":false,"usgs":true,"family":"Rice","given":"Karen","email":"kcrice@usgs.gov","middleInitial":"C.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":658362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Donald E.","contributorId":178279,"corporation":false,"usgs":false,"family":"Brown","given":"Donald","email":"","middleInitial":"E.","affiliations":[{"id":25492,"text":"University of Virginia","active":true,"usgs":false}],"preferred":false,"id":658363,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70043420,"text":"70043420 - 2012 - LiDAR - An emerging tool for geological applications","interactions":[],"lastModifiedDate":"2017-05-16T16:10:09","indexId":"70043420","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5269,"text":"Outcrop: The Newsletter of the Rocky Mountain Association of Geologists","active":true,"publicationSubtype":{"id":10}},"title":"LiDAR - An emerging tool for geological applications","docAbstract":"<p><span>Over the past five to ten years the use and applicability of light detection and ranging (LiDAR) technology has increased dramatically. As a result, more and more LiDAR data now are being collected across the country for a wide range of applications, and LiDAR currently is the technology of choice for high resolution terrain model creation, 3-D city and infrastructure modeling, forestry, and a wide range of scientific applications. LiDAR is a key technology for geological applications both within and outside the U.S. Geological Survey, and efforts are underway to try to collect high resolution LiDAR data for the entire United States (https://pubs.usgs.gov/fs/2012/3089/pdf/fs2012-3089.pdf).</span></p>","language":"English","publisher":"Rocky Mountain Association of Geologists","publisherLocation":"Denver, CO","usgsCitation":"Stoker, J.M., 2012, LiDAR - An emerging tool for geological applications: Outcrop: The Newsletter of the Rocky Mountain Association of Geologists, v. 61, no. 10, p. 6-10.","productDescription":"4 p.","startPage":"6","endPage":"10","ipdsId":"IP-040387","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":333475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":333474,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.rmag.org/outcrop-2012"}],"country":"UNITED STATES","volume":"61","issue":"10","publicComments":"October 2012","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5881dedae4b01192927d9f8f","contributors":{"authors":[{"text":"Stoker, Jason M. 0000-0003-2455-0931 jstoker@usgs.gov","orcid":"https://orcid.org/0000-0003-2455-0931","contributorId":3021,"corporation":false,"usgs":true,"family":"Stoker","given":"Jason","email":"jstoker@usgs.gov","middleInitial":"M.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":659086,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048976,"text":"ofr20121238 - 2012 - Water-quality and lake-stage data for Wisconsin lakes, water years 2008−2011","interactions":[],"lastModifiedDate":"2018-02-06T12:26:19","indexId":"ofr20121238","displayToPublicDate":"2016-09-30T14:15:00","publicationYear":"2012","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":"2012-1238","title":"Water-quality and lake-stage data for Wisconsin lakes, water years 2008−2011","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with local and other agencies, collects data at selected lakes throughout Wisconsin. These data, accumulated over many years, provide a data base for developing an improved understanding of the water quality of lakes. To make these data available to interested parties outside the USGS, the data are published annually in this report series.</p><p>The purpose of this report is to provide information about the chemical and physical characteristics of Wisconsin lakes during water years 2008–2011. A water year is the 12-month period from October 1 through September 30. It is designated by the calendar year in which it ends. Thus, the period October 1, 2007 through September 30, 2008 is called \"water year 2008.\" Data that have been collected at specific lakes, and information to aid in the interpretation of those data, are presented in this report for water years from 2008–2011. Data collected include measurements of in-lake water quality and lake stage. Time series of Secchi depths, surface total phosphorus and chlorophyll <i>a </i>concentrations collected during non-frozen periods are included for all lakes. Graphs of vertical profiles of temperature, dissolved oxygen, pH, and specific conductance are included for sites where these parameters were measured. Descriptive information for each lake includes: location of the lake, area of the lake’s watershed, period for which data are available, revisions to previously published records, and pertinent remarks. Additional data, such as streamflow and water quality in tributary and outlet streams of some of the lakes, are available via the \"USGS Annual Water Data Report\" Web site: <a href=\"http://wdr.water.usgs.gov/\" data-mce-href=\"http://wdr.water.usgs.gov/\">http://wdr.water.usgs.gov/</a>.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121238","collaboration":"Prepared in cooperation with the State of Wisconsin and with other agencies","usgsCitation":"Manteufel, S.B., Olson, D.L., Robertson, D.M., and Goddard, G.L., 2012, Water-quality and lake-stage data for Wisconsin lakes, water years 2008–2011: U.S. Geological Survey Open-File Report 2012–1238, 554 p., https://dx.doi.org/10.3133/ofr20121238.","productDescription":"558 p.","numberOfPages":"558","onlineOnly":"Y","ipdsId":"IP-042122","costCenters":[{"id":677,"text":"Wisconsin Water Science 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 \"}}]}","publicComments":"Previous citation: Manteufel, S.B., Olson, D.L., Robertson, D.M., and Goddard, G.L., 2012, Water-quality and lake-stage data for Wisconsin lakes, water years 2008–2011: U.S. Geological Survey Open-File Report 2012–1238, 554 p., http://wi.water.usgs.gov/pdf/USGS-OFR-2012-1238.pdf.<br>  <p>This report has previously been available from http://wi.water.usgs.gov/pdf/USGS-OFR-2012-1238.pdf. The report that had been available on that Web site had a different cover, title page, and information page.</p>","contact":"<p><a href=\"mailto\" data-mce-href=\"mailto\">Director</a>, Wisconsin Water Science Center<br> U.S. Geological Survey<br> 8505 Research Way<br> Middleton, WI 53562<br> <a href=\"https://www.usgs.gov/centers/wisconsin-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/wisconsin-water-science-center\">https://www.usgs.gov/centers/wisconsin-water-science-center</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Water Year 2008<br></li><li>Water Year 2009<br></li><li>Water Year 2010<br></li><li>Water Year 2011</li></ul>","publishedDate":"2016-09-30","noUsgsAuthors":false,"publicationDate":"2016-09-30","publicationStatus":"PW","scienceBaseUri":"57f7f3a1e4b0bc0bec0a0ab6","contributors":{"authors":[{"text":"Manteufel, S. Bridgett sbmarsh@usgs.gov","contributorId":2593,"corporation":false,"usgs":true,"family":"Manteufel","given":"S.","email":"sbmarsh@usgs.gov","middleInitial":"Bridgett","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":518266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olson, Daniel dlolson@usgs.gov","contributorId":2591,"corporation":false,"usgs":true,"family":"Olson","given":"Daniel","email":"dlolson@usgs.gov","affiliations":[],"preferred":true,"id":518267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":518265,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goddard, Gerald L.","contributorId":35721,"corporation":false,"usgs":true,"family":"Goddard","given":"Gerald","email":"","middleInitial":"L.","affiliations":[{"id":676,"text":"Wisconsin Water Resource Division","active":false,"usgs":true}],"preferred":false,"id":649910,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70173718,"text":"70173718 - 2012 - Habitat associations of fish species of greatest conservation need in wadeable Iowa streams","interactions":[],"lastModifiedDate":"2016-06-08T10:24:41","indexId":"70173718","displayToPublicDate":"2016-03-14T08:30:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Habitat associations of fish species of greatest conservation need in wadeable Iowa streams","docAbstract":"<p><span>Fish and habitat data were collected from 84 wadeable stream reaches in the Mississippi River drainage of Iowa to predict the occurrences of seven fish species of greatest conservation need and to identify the relative importance of habitat variables measured at small (e.g., depth, velocity, and substrate) and large (e.g., stream order, elevation, and gradient) scales in terms of their influence on species occurrences. Multiple logistic regression analysis was used to predict fish species occurrences, starting with all possible combinations of variables (5 large-scale variables, 13 small-scale variables, and all 18 variables) but limiting the final models to a maximum of five variables. Akaike's information criterion was used to rank candidate models, weight model parameters, and calculate model-averaged predictions. On average, the correct classification rate (CCR = 80%) and Cohen's kappa (&kappa; = 0.59) were greatest for multiple-scale models (i.e., those including both large-scale and small-scale variables), intermediate for small-scale models (CCR = 75%; &kappa; = 0.49), and lowest for large-scale models (CCR = 73%; &kappa; = 0.44). The occurrence of each species was associated with a unique combination of large-scale and small-scale variables. Our results support the necessity of understanding factors that constrain the distribution of fishes across spatial scales to ensure that management decisions and actions occur at the appropriate scale.</span></p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/02755947.2012.716015","usgsCitation":"Sindt, A.R., Quist, M.C., and Pierce, C., 2012, Habitat associations of fish species of greatest conservation need in wadeable Iowa streams: North American Journal of Fisheries Management, p. 1046-1061, https://doi.org/10.1080/02755947.2012.716015.","productDescription":"15 p.","startPage":"1046","endPage":"1061","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029055","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-91.217706,43.50055],[-91.216035,43.481142],[-91.233367,43.455168],[-91.200359,43.412701],[-91.198953,43.389835],[-91.21477,43.365874],[-91.20662,43.352524],[-91.132813,43.32803],[-91.107237,43.313645],[-91.07371,43.274746],[-91.071698,43.261014],[-91.058644,43.257679],[-91.066398,43.239293],[-91.12217,43.197255],[-91.1462,43.152405],[-91.1562,43.142945],[-91.175253,43.134665],[-91.179457,43.067427],[-91.156562,42.978226],[-91.14543,42.958211],[-91.14988,42.941955],[-91.1438,42.922877],[-91.146177,42.90985],[-91.100565,42.883078],[-91.097656,42.859871],[-91.091837,42.851225],[-91.09406,42.830813],[-91.078665,42.827678],[-91.069549,42.769628],[-91.060261,42.761847],[-91.065783,42.753387],[-91.056297,42.747341],[-91.051275,42.737001],[-91.035418,42.73734],[-91.026786,42.724228],[-91.000128,42.716189],[-90.977735,42.696816],[-90.949213,42.685573],[-90.923634,42.6855],[-90.88743,42.67247],[-90.731132,42.643437],[-90.706303,42.634169],[-90.692031,42.610366],[-90.686975,42.591774],[-90.661527,42.567999],[-90.654127,42.5499],[-90.643927,42.540401],[-90.636927,42.513202],[-90.655927,42.491703],[-90.654027,42.478503],[-90.624328,42.458904],[-90.567968,42.440389],[-90.560439,42.432897],[-90.555018,42.416138],[-90.477279,42.383794],[-90.462619,42.367253],[-90.443874,42.355218],[-90.416535,42.325109],[-90.430884,42.27823],[-90.419326,42.254467],[-90.400653,42.239293],[-90.391108,42.225473],[-90.356964,42.205445],[-90.328273,42.201047],[-90.282173,42.178846],[-90.234919,42.165431],[-90.209479,42.15268],[-90.197342,42.128163],[-90.167533,42.122475],[-90.161159,42.106372],[-90.168358,42.075779],[-90.164485,42.042105],[-90.151579,42.030633],[-90.140061,42.003252],[-90.146225,41.981329],[-90.164135,41.956178],[-90.163847,41.944934],[-90.152659,41.933058],[-90.153584,41.906614],[-90.181401,41.844647],[-90.181973,41.80707],[-90.278633,41.767358],[-90.310708,41.742214],[-90.317668,41.72269],[-90.313435,41.698082],[-90.334525,41.679559],[-90.343452,41.646959],[-90.339528,41.598633],[-90.343228,41.587833],[-90.41283,41.565333],[-90.461432,41.523533],[-90.500633,41.518033],[-90.540935,41.526133],[-90.591037,41.512832],[-90.602137,41.506032],[-90.605937,41.494232],[-90.655839,41.462132],[-90.750142,41.449632],[-90.846558,41.455141],[-90.930016,41.421404],[-90.979815,41.434321],[-91.027787,41.423603],[-91.043988,41.415897],[-91.05101,41.387556],[-91.06652,41.365246],[-91.074841,41.305578],[-91.092034,41.286911],[-91.114186,41.250029],[-91.113648,41.241401],[-91.07298,41.207151],[-91.041536,41.166138],[-91.027214,41.163373],[-91.007586,41.166183],[-90.99496,41.160624],[-90.946627,41.096632],[-90.949383,41.072711],[-90.942253,41.034702],[-90.945949,41.006495],[-90.958142,40.979767],[-90.952233,40.954047],[-90.965344,40.921633],[-91.009536,40.900565],[-91.021562,40.884021],[-91.044653,40.868356],[-91.05643,40.848387],[-91.092993,40.821079],[-91.097649,40.805575],[-91.091703,40.779708],[-91.110424,40.745528],[-91.115735,40.725168],[-91.11194,40.697018],[-91.123928,40.669152],[-91.185428,40.638071],[-91.253074,40.637962],[-91.306524,40.626231],[-91.339719,40.613488],[-91.359873,40.601805],[-91.379752,40.57445],[-91.401482,40.559458],[-91.406373,40.551831],[-91.404125,40.539127],[-91.384531,40.530948],[-91.369059,40.512532],[-91.364211,40.500043],[-91.364915,40.484168],[-91.381769,40.442555],[-91.372554,40.4012],[-91.381958,40.387632],[-91.419422,40.378264],[-91.441243,40.386255],[-91.452458,40.375501],[-91.463895,40.375659],[-91.465116,40.385257],[-91.484507,40.3839],[-91.490977,40.393484],[-91.487829,40.403866],[-91.498093,40.401926],[-91.522333,40.409648],[-91.527057,40.416689],[-91.519012,40.431298],[-91.529132,40.434272],[-91.533548,40.440804],[-91.523271,40.450061],[-91.526155,40.458625],[-91.552691,40.458769],[-91.574746,40.465664],[-91.590817,40.492292],[-91.621353,40.510072],[-91.618028,40.53403],[-91.6219,40.542292],[-91.6887,40.55739],[-91.691557,40.564867],[-91.686357,40.580875],[-91.716769,40.59853],[-91.729115,40.61364],[-92.686693,40.589809],[-94.294813,40.571341],[-94.632032,40.571186],[-95.765645,40.585208],[-95.753148,40.59284],[-95.748626,40.603355],[-95.768926,40.621264],[-95.776251,40.647463],[-95.795489,40.662384],[-95.822913,40.66724],[-95.842801,40.677496],[-95.852615,40.702262],[-95.883178,40.717579],[-95.888907,40.731855],[-95.879027,40.753081],[-95.84662,40.768619],[-95.835232,40.779151],[-95.834523,40.787778],[-95.845342,40.811324],[-95.837186,40.835347],[-95.847084,40.854174],[-95.847785,40.864328],[-95.838735,40.872191],[-95.815933,40.879846],[-95.809474,40.891228],[-95.813458,40.901693],[-95.836438,40.921642],[-95.839743,40.93278],[-95.829074,40.975688],[-95.838908,40.986484],[-95.867286,41.001599],[-95.869486,41.009399],[-95.859918,41.025403],[-95.859654,41.035695],[-95.882415,41.060411],[-95.862587,41.088399],[-95.865888,41.117898],[-95.88208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 \"}}]}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-10-18","publicationStatus":"PW","scienceBaseUri":"575941f5e4b04f417c25687c","contributors":{"authors":[{"text":"Sindt, Anthony R.","contributorId":171503,"corporation":false,"usgs":false,"family":"Sindt","given":"Anthony","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":637839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. mquist@usgs.gov","contributorId":4042,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":350,"text":"Iowa Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":637840,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637770,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173501,"text":"70173501 - 2012 - Impacts of mute swans (<i>Cygnus olor</i>) on submerged aquatic vegetation in Illinois River Valley backwaters","interactions":[],"lastModifiedDate":"2016-06-17T10:44:20","indexId":"70173501","displayToPublicDate":"2016-01-19T13:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of mute swans (<i>Cygnus olor</i>) on submerged aquatic vegetation in Illinois River Valley backwaters","docAbstract":"<p><span>Wetland loss in North America has been considerable and well documented, and the establishment of exotic species in remaining wetlands can further reduce their ability to support native flora and fauna. In the Chesapeake Bay and Great Lakes ecosystems, exotic mute swans (</span><i class=\"EmphasisTypeItalic \">Cygnus olor</i><span>) have been found to negatively impact wetlands through degradation of submerged aquatic vegetation (SAV) communities. Mute swan populations have expanded into many areas of mid-continental North America outside the Great Lakes ecosystem, but the environmental impact of these populations is not well known. Mid-continental wetlands in North America differ in physical characteristics (e.g., size, depth, and permanency) and aquatic vegetation species composition compared to wetlands in other areas where mute swans have been studied and, thus, may be more or less susceptible to degradation from swan herbivory. To investigate the impact of mute swan herbivory on SAV communities in mid-continent wetlands, we used exclosures to prevent swans from foraging in 2 wetland complexes in central Illinois. Above-ground biomass of vegetation did not differ between exclosures and controls; however, mean below-ground biomass was greater in exclosures (52.0&nbsp;g/m</span><sup><span>2</span></sup><span>, SE&thinsp;=&thinsp;6.0) than in controls (34.4&nbsp;g/m</span><sup><span>2</span></sup><span>&nbsp;SE&thinsp;=&thinsp;4.0). Thus, although swan densities were lower in our study region compared to that of previous studies, we observed potentially detrimental impacts of swan herbivory on below-ground biomass of SAV. Our results indicate that both above-ground and below-ground impacts of herbivory should be monitored, and below-ground biomass may be most sensitive to swan foraging.</span></p>","language":"English","publisher":"SpringerLink","doi":"10.1007/s13157-012-0316-6","usgsCitation":"Stafford, J.D., Eichholz, M.W., and Phillips, A.C., 2012, Impacts of mute swans (<i>Cygnus olor</i>) on submerged aquatic vegetation in Illinois River Valley backwaters: Wetlands, v. 32, p. 851-857, https://doi.org/10.1007/s13157-012-0316-6.","productDescription":"7 p.","startPage":"851","endPage":"857","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032789","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323868,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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C.","contributorId":171364,"corporation":false,"usgs":false,"family":"Phillips","given":"Adam","email":"","middleInitial":"C.","affiliations":[{"id":26877,"text":"Southern Illinois University, Carbondale, IL","active":true,"usgs":false}],"preferred":false,"id":637204,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70171360,"text":"70171360 - 2012 - Distribution and abundance of anadromous Sea Lamprey Spawners in a fragmented stream: Current status and potential range expansion following barrier removal","interactions":[],"lastModifiedDate":"2016-05-27T15:05:24","indexId":"70171360","displayToPublicDate":"2016-01-11T12:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Distribution and abundance of anadromous Sea Lamprey Spawners in a fragmented stream: Current status and potential range expansion following barrier removal","docAbstract":"<p>Dams fragment watersheds and prevent anadromous fishes from reaching historic spawning habitat. Sedgeunkedunk Stream, a small tributary to the Penobscot River (Maine), has been the focus of efforts to reestablish marine-freshwater connectivity and restore anadromous fishes via the removal of two barriers to fish migration. Currently, <i>Petromyzon marinus</i> (Sea Lamprey) is the only anadromous fish known to spawn successfully in the stream downstream of the lowermost dam. Here, we describe the distribution and abundance of a spawning population of Sea Lamprey in Sedgeunkedunk Stream, prior to and in anticipation of habitat increase after the completion of one barrier removal. In 2008, we estimated the abundance of Sea Lamprey and its nests using daily stream surveys and an open-population mark-recapture model. We captured 47 Sea Lamprey and implanted each with a PIT tag so that we could track movements and nest associations of individual fish. The spawning migration began on 18 June, and the last living individual was observed on 27 June. We located 31 nests, distributed from head-of-tide to the lowermost dam; no spawners or nests were observed in the tidally influenced zone or upstream of this dam. Mean longevity in the stream and the number of nests attended were correlated with arrival date; early migrants were alive longer and attended more nests than later migrants. Males were more likely to be observed away from a nest, or attending three or more nests, than were females, which attended usually one or two nests. We observed a negative association between nest abundance and substrate cover by fine sediment. Based on their observed movements in the system, and the extent of their habitat use, we anticipate that spawning Sea Lamprey will recolonize formerly inaccessible habitat after dam removals.</p>","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/045.019.0108","usgsCitation":"Zydlewski, J.D., Gardner, C., and Coghlan, S.M., 2012, Distribution and abundance of anadromous Sea Lamprey Spawners in a fragmented stream: Current status and potential range expansion following barrier removal: Northeastern Naturalist, v. 19, no. 1, p. 99-110, https://doi.org/10.1656/045.019.0108.","productDescription":"11 p.","startPage":"99","endPage":"110","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-028427","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":321837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Penobscot River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -68.99757385253906,\n              44.56454494930599\n            ],\n            [\n              -68.99757385253906,\n              44.800839614637205\n            ],\n            [\n              -68.52104187011719,\n              44.800839614637205\n            ],\n            [\n              -68.52104187011719,\n              44.56454494930599\n            ],\n            [\n              -68.99757385253906,\n              44.56454494930599\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"19","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57496faee4b07e28b665cc54","contributors":{"authors":[{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":630709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Cory","contributorId":169679,"corporation":false,"usgs":false,"family":"Gardner","given":"Cory","email":"","affiliations":[],"preferred":false,"id":630742,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coghlan, Stephen M. Jr.","contributorId":169678,"corporation":false,"usgs":false,"family":"Coghlan","given":"Stephen","suffix":"Jr.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":630743,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70171363,"text":"70171363 - 2012 - Effects of smallmouth bass (Micropterus dolomeiu) on Atlantic salmon (Salmo salar) habitat use and diel movements in an artificial stream.","interactions":[],"lastModifiedDate":"2016-05-27T13:57:45","indexId":"70171363","displayToPublicDate":"2016-01-11T09:30:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Effects of smallmouth bass (Micropterus dolomeiu) on Atlantic salmon (Salmo salar) habitat use and diel movements in an artificial stream.","docAbstract":"<p>Invasive smallmouth bass <i>Micropterus dolomieu</i> have been introduced to some of the last remaining watersheds that contain wild anadromous Atlantic salmon <i>Salmo salar</i>, yet little is known about the interactions between these species. We used an artificial stream equipped with passive integrated transponder tag antenna arrays to monitor habitat use and movements of age-0 Atlantic salmon and age-0 smallmouth bass in sympatry and allopatry. We used additive and substitutive designs to test for changes in habitat use, diel movements, and diel activity patterns of prior-resident Atlantic salmon or smallmouth bass resulting from the addition of conspecifics or heterospecifics. Atlantic salmon prior residents did not change their habitat use in the presence of conspecific or heterospecific invaders. However, Atlantic salmon invaders did lessen riffle habitat use by smallmouth bass prior residents during daytime. Atlantic salmon and smallmouth bass displayed different diel activity patterns of movement (Atlantic salmon were more nocturnal; smallmouth bass were more diurnal), which were affected by heterospecific introductions. Because the two species tended to favor different habitat types and displayed different diel activity patterns, we suggest that under the conditions tested, the level of interspecific competition for habitat was low. Age-0 Atlantic salmon and smallmouth bass may be able to avoid intense interspecific competition through spatial and temporal habitat partitioning. These data do not, however, predict the potential for competition under different seasonal or ontogenetic circumstances.</p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/00028487.2012.655116","usgsCitation":"Zydlewski, J.D., Coghlan, S.M., Trial, J.G., and Wathen, G., 2012, Effects of smallmouth bass (Micropterus dolomeiu) on Atlantic salmon (Salmo salar) habitat use and diel movements in an artificial stream.: Transactions of the American Fisheries Society, v. 141, no. 1, p. 174-184, https://doi.org/10.1080/00028487.2012.655116.","productDescription":"10 p.","startPage":"174","endPage":"184","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024602","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":321834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","county":"Penobscot County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -69.3511962890625,\n              43.858296779161826\n            ],\n            [\n              -69.3511962890625,\n              44.88701247981298\n            ],\n            [\n              -68.0548095703125,\n              44.88701247981298\n            ],\n            [\n              -68.0548095703125,\n              43.858296779161826\n            ],\n            [\n              -69.3511962890625,\n              43.858296779161826\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"141","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57496faee4b07e28b665cc59","contributors":{"authors":[{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":630718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coghlan, Stephen M. Jr.","contributorId":169678,"corporation":false,"usgs":false,"family":"Coghlan","given":"Stephen","suffix":"Jr.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":630736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trial, Joan G.","contributorId":91156,"corporation":false,"usgs":true,"family":"Trial","given":"Joan","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":630737,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wathen, Gus","contributorId":169693,"corporation":false,"usgs":false,"family":"Wathen","given":"Gus","email":"","affiliations":[],"preferred":false,"id":630738,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70171359,"text":"70171359 - 2012 - Use of olfactory cues by newly metamorphosed wood frogs (Lithobates sylvaticus) during emigration","interactions":[],"lastModifiedDate":"2016-05-27T15:13:13","indexId":"70171359","displayToPublicDate":"2016-01-05T09:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"Use of olfactory cues by newly metamorphosed wood frogs (Lithobates sylvaticus) during emigration","docAbstract":"<p>Juvenile amphibians are capable of long-distance upland movements, yet cues used for orientation during upland movements are poorly understood. We used newly metamorphosed Wood Frogs (<i>Lithobates sylvaticus</i>) to investigate: (1) the existence of innate (i.e., inherited) directionality, and (2) the use of olfactory cues, specifically forested wetland and natal pond cues during emigration. In a circular arena experiment, animals with assumed innate directionality did not orient in the expected direction (suggested by previous studies) when deprived of visual and olfactory cues. This suggests that juvenile Wood Frogs most likely rely on proximate cues for orientation. Animals reared in semi-natural conditions (1500&nbsp;l cattle tanks) showed a strong avoidance of forested wetland cues in two different experimental settings, although they had not been previously exposed to such cues. This finding is contrary to known habitat use by adult Wood Frogs during summer. Juvenile Wood Frogs were indifferent to the chemical signature of natal pond (cattle tank) water. Our findings suggest that management strategies for forest amphibians should consider key habitat features that potentially influence the orientation of juveniles during emigration movements, as well as adult behavior.</p>","language":"English","publisher":"The American Society of Ichthyologists and Herpetologists","doi":"10.1643/CE-11-062","usgsCitation":"Zydlewski, J.D., Popescu, V.D., Brodie, B.S., and Hunter, M.L., 2012, Use of olfactory cues by newly metamorphosed wood frogs (Lithobates sylvaticus) during emigration: Copeia, v. 2012, no. 3, p. 424-431, https://doi.org/10.1643/CE-11-062.","productDescription":"7 p.","startPage":"424","endPage":"431","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-028428","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":321838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": 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]\n}","volume":"2012","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57496fb6e4b07e28b665ccb2","contributors":{"authors":[{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":630708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Popescu, Viorel D.","contributorId":169697,"corporation":false,"usgs":false,"family":"Popescu","given":"Viorel","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":630744,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brodie, Bekka S.","contributorId":169696,"corporation":false,"usgs":false,"family":"Brodie","given":"Bekka","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":630745,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunter, Malcom L.","contributorId":169695,"corporation":false,"usgs":false,"family":"Hunter","given":"Malcom","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":630746,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70173693,"text":"70173693 - 2012 - Using persuasive messages to encourage hunters to support regulation of lead shot","interactions":[],"lastModifiedDate":"2017-12-13T17:50:30","indexId":"70173693","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2012","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":"Using persuasive messages to encourage hunters to support regulation of lead shot","docAbstract":"<p><span>Lead shot from hunting adds the toxic metal to environments worldwide. The United States banned lead shot for hunting waterfowl in 1991 and 26 states have lead shot restrictions beyond those mandated for waterfowl hunting. The Minnesota Department of Natural Resources (MDNR) was interested in studying hunter attitudes about expanded restrictions on the use of lead shot for hunting small game to understand what communication strategies might increase public support for potential restrictions on lead shot. We mailed messages about lead shot, including 1,200 control messages and 400 of each of 9 treatment messages, and surveys to 4,800 resident small game hunters. We compared attitudes and intentions related to a possible ban among control and treatment groups. Compared to the control message, all treatment messages elicited more positive attitudes and intentions to support a ban. A basic factual message, messages with references to Ducks Unlimited, and a first-person narrative message generated the strongest support for a ban. Results also demonstrated a substantial relationship between the use of lead shot and response to persuasive messages supporting a ban.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.420","usgsCitation":"Schroeder, S., Fulton, D.C., Penning, W., and Doncarlos, K., 2012, Using persuasive messages to encourage hunters to support regulation of lead shot: Journal of Wildlife Management, v. 76, no. 8, p. 1528-1539, https://doi.org/10.1002/jwmg.420.","productDescription":"12 p.","startPage":"1528","endPage":"1539","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-028015","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-07-05","publicationStatus":"PW","scienceBaseUri":"5757f065e4b04f417c24dd3e","contributors":{"authors":[{"text":"Schroeder, Susan A.","contributorId":78235,"corporation":false,"usgs":true,"family":"Schroeder","given":"Susan A.","affiliations":[],"preferred":false,"id":637552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637514,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Penning, William","contributorId":171468,"corporation":false,"usgs":false,"family":"Penning","given":"William","email":"","affiliations":[],"preferred":false,"id":637553,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doncarlos, Kathy","contributorId":171469,"corporation":false,"usgs":false,"family":"Doncarlos","given":"Kathy","email":"","affiliations":[],"preferred":false,"id":637554,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70041590,"text":"70041590 - 2012 - Palila abundance estimates and trend","interactions":[],"lastModifiedDate":"2018-01-04T12:37:24","indexId":"70041590","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":414,"text":"Technical Report","active":false,"publicationSubtype":{"id":9}},"seriesNumber":"HCSU-TR033","title":"Palila abundance estimates and trend","docAbstract":"<p><span>The Palila (Loxioides bailleui) is an endangered, seed-eating, finch-billed honeycreeper found only on Hawai`i Island. Once occurring on the islands of Kaua`i and O`ahu and Mauna Loa and Hualālai volcanoes of Hawai`i, Palila are now found only in subalpine, dry-forest habitats on Mauna Kea (Banko et al. 2002). Previous analyses showed that Palila numbers fluctuated throughout the 1980s and 1990s but declined rapidly and steadily since 2003 (Jacobi et al. 1996, Leonard et al. 2008, Banko et al. 2009, Gorresen et al. 2009, Banko et al. in press).&nbsp;</span><br><br><span>The aim of this report is to update abundance estimates for the Palila based on the 2012 surveys. We assess Palila trends over two periods: 1) the long-term trend during 1998–2012 and 2) the short-term trajectory between 2003 and 2012. The first period evaluates the population trend for the entire time series since additional transects were established (Johnson et al. 2006). These additional transects were established to produce a more precise population estimate and provide more complete coverage of the Palila range. The initial year for short-term trajectory was chosen subjectively to coincide with the recent decline in the Palila population. Additionally, stations in the core Palila habitat were surveyed on two occasions in 2012, thus allowing us to address the question of how repeat samples improve estimate precision.</span></p>","publisher":"Hawaii Cooperative Studies Unit","usgsCitation":"Camp, R., and Banko, P.C., 2012, Palila abundance estimates and trend: Technical Report HCSU-TR033, 14 p.","productDescription":"14 p.","ipdsId":"IP-040620","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":350268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350267,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://dspace.lib.hawaii.edu/handle/10790/2630"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a61052be4b06e28e9c2550c","contributors":{"authors":[{"text":"Camp, Richad","contributorId":140101,"corporation":false,"usgs":false,"family":"Camp","given":"Richad","email":"","affiliations":[{"id":13385,"text":"University of Hawaii at Hilo Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":725378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":725379,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70168481,"text":"70168481 - 2012 - A comparison of approaches for estimating relative impacts of nonnative fishes","interactions":[],"lastModifiedDate":"2016-02-17T10:50:33","indexId":"70168481","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of approaches for estimating relative impacts of nonnative fishes","docAbstract":"<p><span>Lack of standard methods for quantifying impact has hindered risk assessments of high-impact invaders. To understand methodological strengths and weaknesses, we compared five approaches (in parentheses) for quantifying impact of nonnative fishes: reviewing documented impacts in a large-scale database (review); surveying fish biologists regarding three categories of impact (socioeconomic, ecological, abundance); and estimating frequency of occurrence from existing collection records (collection). In addition, we compared game and nongame biologists&rsquo; ratings of game and nongame species. Although mean species ratings were generally correlated among approaches, we documented important discrepancies. The review approach required little effort but often inaccurately estimated impact in our study region (Mid-Atlantic United States). Game fishes received lower ratings from the socioeconomic approach, which yielded the greatest consistency among respondents. The ecological approach exhibited lower respondent bias but was sensitive to pre-existing perceptions of high-impact invaders. The abundance approach provided the least-biased assessment of region-specific impact but did not account for differences in per-capita effects among species. The collection approach required the most effort and did not provide reliable estimates of impact. Multiple approaches to assessing a species&rsquo; impact are instructive, but impact ratings must be interpreted in the context of methodological strengths and weaknesses and key management issues. A combination of our ecological and abundance approaches may be most appropriate for assessing ecological impact, whereas our socioeconomic approach is more useful for understanding social dimensions. These approaches are readily transferrable to other regions and taxa; if refined, they can help standardize the assessment of impacts of nonnative species.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00267-011-9767-4","usgsCitation":"Lapointe, N., Pendleton, R.M., and Angermeier, P.L., 2012, A comparison of approaches for estimating relative impacts of nonnative fishes: Environmental Management, v. 49, no. 1, p. 82-95, https://doi.org/10.1007/s00267-011-9767-4.","productDescription":"14 p.","startPage":"82","endPage":"95","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032103","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":318111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2011-10-29","publicationStatus":"PW","scienceBaseUri":"56c5a7bce4b0946c65225007","contributors":{"authors":[{"text":"Lapointe, N.W.R.","contributorId":76558,"corporation":false,"usgs":true,"family":"Lapointe","given":"N.W.R.","email":"","affiliations":[],"preferred":false,"id":620724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pendleton, R. M.","contributorId":167004,"corporation":false,"usgs":false,"family":"Pendleton","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":620725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":620491,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}