{"pageNumber":"1132","pageRowStart":"28275","pageSize":"25","recordCount":184769,"records":[{"id":70164337,"text":"sir20155019C - 2016 - Peak-flow frequency analyses and results based on data through water year 2011 for selected streamflow-gaging stations in or near Montana: Chapter C in <i>Montana StreamStats</i>","interactions":[{"subject":{"id":70164337,"text":"sir20155019C - 2016 - Peak-flow frequency analyses and results based on data through water year 2011 for selected streamflow-gaging stations in or near Montana: Chapter C in <i>Montana StreamStats</i>","indexId":"sir20155019C","publicationYear":"2016","noYear":false,"chapter":"C","title":"Peak-flow frequency analyses and results based on data through water year 2011 for selected streamflow-gaging stations in or near Montana: Chapter C in <i>Montana StreamStats</i>"},"predicate":"IS_PART_OF","object":{"id":70169997,"text":"sir20155019 - 2016 - Montana StreamStats","indexId":"sir20155019","publicationYear":"2016","noYear":false,"title":"Montana StreamStats"},"id":1}],"isPartOf":{"id":70169997,"text":"sir20155019 - 2016 - Montana StreamStats","indexId":"sir20155019","publicationYear":"2016","noYear":false,"title":"Montana StreamStats"},"lastModifiedDate":"2018-02-28T16:38:25","indexId":"sir20155019C","displayToPublicDate":"2016-04-05T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5019","chapter":"C","title":"Peak-flow frequency analyses and results based on data through water year 2011 for selected streamflow-gaging stations in or near Montana: Chapter C in <i>Montana StreamStats</i>","docAbstract":"<p>Chapter C of this Scientific Investigations Report documents results from a study by the U.S. Geological Survey, in cooperation with the Montana Department of Transportation and the Montana Department of Natural Resources, to provide an update of statewide peak-flow frequency analyses and results for Montana. The purpose of this report chapter is to present peak-flow frequency analyses and results for 725 streamflow-gaging stations in or near Montana based on data through water year 2011. The 725 streamflow-gaging stations included in this study represent nearly all streamflowgaging stations in Montana (plus some from adjacent states or Canadian Provinces) that have at least 10 years of peak-flow records through water year 2011. For 29 of the 725 streamflow-gaging stations, peak-flow frequency analyses and results are reported for both unregulated and regulated conditions. Thus, peak-flow frequency analyses and results are reported for a total of 754 analyses. Estimates of peak-flow magnitudes for 66.7-, 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities are reported. These annual exceedance probabilities correspond to 1.5-, 2-, 2.33-, 5-, 10-, 25-, 50-, 100-, 200-, and 500-year recurrence intervals.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Montana StreamStats (Scientific Investigations Report 2015-5019)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155019C","collaboration":"Prepared in cooperation with the Montana Department of Transportation and Montana Department of Natural Resources and Conservation","usgsCitation":"Sando, S.K., McCarthy, P.M., and Dutton, D.M., 2016, Peak-flow frequency analyses and results based on data through water year 2011 for selected streamflow-gaging stations in or near Montana: U.S. Geological Survey Scientific Investigations Report 2015–5019–C, 27 p., https://dx.doi.org/10.3133/sir20155019C.","productDescription":"Report: v, 27 p.; 6 Tables","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-061583","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":319616,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5019C/sir20155019C.pdf","text":"Report","size":"1.78 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR  2015–5019–C"},{"id":319615,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5019C/coverthb.jpg"},{"id":319617,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5019C/sir20155019C_tables.xlsx","text":"Tables 1–1 through 1–6","size":"34.6 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2015–5019–C Appendix Tables"}],"country":"United 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 \"}}]}","contact":"<p>Director, Wyoming-Montana Water Science Center<br />U.S. Geological Survey<br />3162 Bozeman Ave<br />Helena, MT 59601</p>\n<p><a href=\"http://wy-mt.water.usgs.gov/\">http://wy-mt.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Data Compilation and Pre-Analysis Augmentation and Manipulation</li><li>Determination of Regulation Status of Streamflow-Gaging Stations</li><li>Peak-Flow Frequency Analyses and Results</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Information on Streamflow-Gaging Stations, Data Augmentation, Regulation Structures, and Peak-Flow Frequency Analyses and Results</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-04-05","noUsgsAuthors":false,"publicationDate":"2016-04-05","publicationStatus":"PW","scienceBaseUri":"572477aee4b0b13d3914e0d5","contributors":{"authors":[{"text":"Sando, Steven K. 0000-0003-1206-1030 sksando@usgs.gov","orcid":"https://orcid.org/0000-0003-1206-1030","contributorId":1016,"corporation":false,"usgs":true,"family":"Sando","given":"Steven","email":"sksando@usgs.gov","middleInitial":"K.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":620701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCarthy, Peter 0000-0002-2396-7463 pmccarth@usgs.gov","orcid":"https://orcid.org/0000-0002-2396-7463","contributorId":2504,"corporation":false,"usgs":true,"family":"McCarthy","given":"Peter","email":"pmccarth@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":625609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dutton, DeAnn M. ddutton@usgs.gov","contributorId":20762,"corporation":false,"usgs":true,"family":"Dutton","given":"DeAnn M.","email":"ddutton@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":false,"id":625610,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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Montana StreamStats was developed by the U.S. Geological Survey (USGS) in cooperation with the Montana Departments of Transportation, Environmental Quality, and Natural Resources and Conservation. The USGS Scientific Investigations Report consists of seven independent but complementary chapters dealing with various aspects of this effort.</p><p>Chapter A describes the Montana StreamStats application, the basin and streamflow datasets, and provides a brief overview of the streamflow characteristics and regression equations used in the study. Chapters B through E document the datasets, methods, and results of analyses to determine streamflow characteristics, such as peak-flow frequencies, low-flow frequencies, and monthly and annual characteristics, for USGS streamflow-gaging stations in and near Montana. 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 \"}}]}","contact":"<p>Director, Wyoming-Montana Water Science Center<br />U.S. Geological Survey<br />3162 Bozeman Ave<br />Helena, MT 59601</p>\n<p><a href=\"http://wy-mt.water.usgs.gov/\">http://wy-mt.water.usgs.gov/</a></p>","publishedDate":"2016-04-05","noUsgsAuthors":false,"publicationDate":"2016-04-05","publicationStatus":"PW","scienceBaseUri":"572477ace4b0b13d3914e0b1"}
,{"id":70164331,"text":"sir20155019G - 2016 - Methods for estimating streamflow characteristics at ungaged sites in western Montana based on data through water year 2009: Chapter G in <i>Montana StreamStats</i>","interactions":[{"subject":{"id":70164331,"text":"sir20155019G - 2016 - Methods for estimating streamflow characteristics at ungaged sites in western Montana based on data through water year 2009: Chapter G in <i>Montana StreamStats</i>","indexId":"sir20155019G","publicationYear":"2016","noYear":false,"chapter":"G","displayTitle":"Methods for estimating streamflow characteristics at ungaged sites in western Montana based on data through water year 2009: Chapter G in <i>Montana StreamStats</i>","title":"Methods for estimating streamflow characteristics at ungaged sites in western Montana based on data through water year 2009: Chapter G in <i>Montana StreamStats</i>"},"predicate":"IS_PART_OF","object":{"id":70169997,"text":"sir20155019 - 2016 - Montana StreamStats","indexId":"sir20155019","publicationYear":"2016","noYear":false,"title":"Montana StreamStats"},"id":1}],"isPartOf":{"id":70169997,"text":"sir20155019 - 2016 - Montana StreamStats","indexId":"sir20155019","publicationYear":"2016","noYear":false,"title":"Montana StreamStats"},"lastModifiedDate":"2020-10-27T16:48:18.337033","indexId":"sir20155019G","displayToPublicDate":"2016-04-05T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5019","chapter":"G","displayTitle":"Methods for estimating streamflow characteristics at ungaged sites in western Montana based on data through water year 2009: Chapter G in <i>Montana StreamStats</i>","title":"Methods for estimating streamflow characteristics at ungaged sites in western Montana based on data through water year 2009: Chapter G in <i>Montana StreamStats</i>","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Montana Department of Environmental Quality and the Montana Department of Natural Resources and Conservation, developed regional regression equations based on basin and streamflow characteristics for streamflow-gaging stations through water year 2009 that can be used to estimate streamflow characteristics for ungaged sites in western Montana. The regression equations allow estimation of low-flow frequencies; mean annual and mean monthly streamflows; and the 20-, 50-, and 80-percent durations for annual and monthly duration streamflows for ungaged sites in western Montana that are unaffected by regulation.</p>\n<p>Regression equations were developed for 54 streamflow characteristics in each of the 4 hydrologic regions generally located in western Montana. Exploratory data analyses determined that of the 40 basin characteristics used as explanatory variables, only 3 were significant in the final equations. These three basin characteristics are contributing drainage area, mean annual precipitation of the drainage basin, and percentage of basin with slopes greater than 50 percent. Low-flow frequency data and daily mean streamflow data from 152 streamflow-gaging stations were used to develop the regression equations. These 152 streamflow-gaging stations were considered to be unregulated (or only the unregulated period of record for regulated streamflow-gaging stations were used). For this study, a streamflow-gaging station is considered to be unregulated if cumulative drainage area upstream from all upstream dams is less than 20 percent of the drainage basin for the streamflow-gaging station, and if no large diversion canals are upstream from the streamflow-gaging station.</p>\n<p>In addition to the regional regression equations, two methods for estimating streamflow characteristics based on drainage areas of a nearby streamflow-gaging station are provided. Also, spreadsheet tools are provided for calculating streamflow characteristics based on regression equations or the drainage-area ratio method.</p>\n<p>All of the data used to calculate basin characteristics were derived from publicly available data sources and are available through&nbsp;the U.S. Geological Survey Streamstats program&nbsp;(<a href=\"http://water.usgs.gov/osw/streamstats/\">http://water.usgs.gov/osw/streamstats/</a>) for Montana. The primary purpose of the Montana StreamStats application is to provide estimates of basin characteristics and streamflow characteristics for user-selected ungaged sites on Montana streams. The regional regression equations presented in this report have been loaded to the Montana StreamStats application and can be used to derive streamflow characteristics for ungaged sites.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Montana StreamStats (Scientific Investigations Report 2015-5019)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155019G","collaboration":"Prepared in cooperation with the Montana Department of Environmental Quality and Montana Department of Natural Resources and Conservation","usgsCitation":"McCarthy, P.M., Sando, Roy, Sando, S.K., and Dutton, D.M., 2016, Methods for estimating streamflow characteristics at ungaged sites in western Montana based on data through water year 2009: U.S. Geological Survey Scientific Investigations Report 2015–5019–G, 19 p., https://dx.doi.org/10.3133/sir20155019G.","productDescription":"Report: vii, 19 p.; 10 Tables","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-067085","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":319659,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5019G/coverthb.jpg"},{"id":319661,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2015/5019G/sir20155019G_tables.xlsx","text":"Tables 1 through 4, 1–1 through 1–4, and 2–1 through 2–2","size":"483 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2015–5019–G Tables"},{"id":319660,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5019G/sir20155019G.pdf","text":"Report","size":"9.77 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015–5019–G"}],"country":"United States","state":"Montana","geographicExtents":"{\n  \"type\": 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          44.99588261816546\n            ],\n            [\n              -107.22656249999999,\n              45.02695045318546\n            ],\n            [\n              -107.57812499999999,\n              45.99696161820381\n            ],\n            [\n              -108.12744140625,\n              47.234489635299184\n            ],\n            [\n              -111.42333984375,\n              47.2195681123155\n            ],\n            [\n              -112.7197265625,\n              48.06339653776211\n            ],\n            [\n              -113.35693359375,\n              49.009050809382046\n            ],\n            [\n              -116.03759765625,\n              48.99463598353408\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Wyoming-Montana Water Science Center<br />U.S. Geological Survey<br />3162 Bozeman Ave<br />Helena, MT 59601</p>\n<p><a href=\"http://wy-mt.water.usgs.gov/\">http://wy-mt.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods for Estimating Streamflow Characteristics at Ungaged Sites in Montana</li><li>Tools for Estimating Streamflow Characteristics at Ungaged Sites in Montana</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Supplemental Information Relating to the Regional Regression Analyses</li><li>Appendix 2. Estimates of Streamflow Characteristics at Ungaged Sites</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-04-05","noUsgsAuthors":false,"publicationDate":"2016-04-05","publicationStatus":"PW","scienceBaseUri":"570f6db6e4b0ef3b7ca35698","contributors":{"authors":[{"text":"McCarthy, Peter 0000-0002-2396-7463 pmccarth@usgs.gov","orcid":"https://orcid.org/0000-0002-2396-7463","contributorId":2504,"corporation":false,"usgs":true,"family":"McCarthy","given":"Peter","email":"pmccarth@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":620710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sando, Roy 0000-0003-0704-6258","orcid":"https://orcid.org/0000-0003-0704-6258","contributorId":26230,"corporation":false,"usgs":true,"family":"Sando","given":"Roy","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":false,"id":620711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sando, Steven K. 0000-0003-1206-1030 sksando@usgs.gov","orcid":"https://orcid.org/0000-0003-1206-1030","contributorId":1016,"corporation":false,"usgs":true,"family":"Sando","given":"Steven","email":"sksando@usgs.gov","middleInitial":"K.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":620712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dutton, DeAnn M. ddutton@usgs.gov","contributorId":20762,"corporation":false,"usgs":true,"family":"Dutton","given":"DeAnn M.","email":"ddutton@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":false,"id":620713,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70170069,"text":"70170069 - 2016 - Pranked by Audubon: Constantine S. Rafinesque's description of John James Audubon's imaginary Kentucky mammals","interactions":[],"lastModifiedDate":"2016-07-12T18:58:08","indexId":"70170069","displayToPublicDate":"2016-04-04T16:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":890,"text":"Archives of Natural History","active":true,"publicationSubtype":{"id":10}},"title":"Pranked by Audubon: Constantine S. Rafinesque's description of John James Audubon's imaginary Kentucky mammals","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>The North American naturalist Constantine S. Rafinesque spent much of the year 1818 engaged in a solo journey down the Ohio River Valley to explore parts of what was then the western United States. Along the way, he visited a number of fellow naturalists, and he spent more than a week at the Henderson, Kentucky, home of artist and ornithologist John James Audubon. During the succeeding two years, Rafinesque published descriptions of new species that resulted from his expedition, including eleven species of fishes that eventually proved to have been invented by Audubon as a prank on the credulous naturalist. Less well known are a number of “wild rats” described by Rafinesque that include one recognized species (<i>Musculus leucopus</i>) and ten other, imaginary “species” fabricated by Audubon (<i>Gerbillus leonurus</i>, <i>G. megalops</i>, <i>Spalax trivittata</i>, <i>Cricetus fasciatus</i>, <i>Sorex cerulescens</i>, <i>S. melanotis</i>, <i>Musculus nigricans</i>, <i>Lemmus albovittatus</i>, <i>L. talpoides</i>, <i>Sciurus ruber</i>). Rafinesque's unpublished sketches of these animals provide important insight regarding the supposed nature of the animals invented by Audubon and ultimately published by Rafinesque.</p></div></div><div class=\"hlFld-Fulltext\"><div id=\"s1\" class=\"NLM_sec NLM_sec_level_1\"><div class=\"sectionInfo\"><div class=\"sectionJumpTo\"><form></form></div></div></div></div>","language":"English","publisher":"Edinburgh University Press","publisherLocation":"Edinburgh, Scotland","doi":"10.3366/anh.2016.0349","usgsCitation":"Woodman, N., 2016, Pranked by Audubon: Constantine S. Rafinesque's description of John James Audubon's imaginary Kentucky mammals: Archives of Natural History, v. 43, no. 1, p. 95-108, https://doi.org/10.3366/anh.2016.0349.","productDescription":"14 p.","startPage":"95","endPage":"108","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067390","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":319780,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57038223e4b0328dcb81b36d","contributors":{"authors":[{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":626014,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70170051,"text":"70170051 - 2016 - Research needs to better understand Lake Ontario ecosystem function: A workshop summary","interactions":[],"lastModifiedDate":"2016-04-04T10:59:48","indexId":"70170051","displayToPublicDate":"2016-04-04T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Research needs to better understand Lake Ontario ecosystem function: A workshop summary","docAbstract":"<p><span>Lake Ontario investigators discussed and interpreted published and unpublished information during two workshops to assess our current understanding of Lake Ontario ecosystem function and to identify research needs to guide future research and monitoring activities. The purpose of this commentary is to summarize key investigative themes and hypotheses that emerged from the workshops. The outcomes of the workshop discussions are organized under four themes: spatial linkages and interactions, drivers of primary production, trophic transfer, and human interactions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2015.10.017","usgsCitation":"Stewart, T.J., Rudstam, L.G., Watkins, J., Johnson, T.B., Weidel, B., and Koops, M.A., 2016, Research needs to better understand Lake Ontario ecosystem function: A workshop summary: Journal of Great Lakes Research, v. 42, no. 1, p. 1-5, https://doi.org/10.1016/j.jglr.2015.10.017.","productDescription":"5 p.","startPage":"1","endPage":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066518","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":319753,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57038229e4b0328dcb81b375","contributors":{"authors":[{"text":"Stewart, Thomas J.","contributorId":107223,"corporation":false,"usgs":true,"family":"Stewart","given":"Thomas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":625942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rudstam, Lars G.","contributorId":56609,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":625943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watkins, James M.","contributorId":97410,"corporation":false,"usgs":true,"family":"Watkins","given":"James M.","affiliations":[],"preferred":false,"id":625944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Timothy B.","contributorId":49753,"corporation":false,"usgs":false,"family":"Johnson","given":"Timothy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":625945,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":625941,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Koops, Marten A.","contributorId":16715,"corporation":false,"usgs":false,"family":"Koops","given":"Marten","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":625946,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70170050,"text":"70170050 - 2016 - Developing recreational harvest regulations for an unexploited lake trout population","interactions":[],"lastModifiedDate":"2016-06-01T11:44:58","indexId":"70170050","displayToPublicDate":"2016-04-04T12:00:00","publicationYear":"2016","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":"Developing recreational harvest regulations for an unexploited lake trout population","docAbstract":"<p><span>Developing fishing regulations for previously unexploited populations presents numerous challenges, many of which stem from a scarcity of baseline information about abundance, population productivity, and expected angling pressure. We used simulation models to test the effect of six management strategies (catch and release; trophy, minimum, and maximum length limits; and protected and exploited slot length limits) on an unexploited population of Lake Trout&nbsp;</span><i>Salvelinus namaycush</i><span>&nbsp;in Follensby Pond, a 393-ha lake located in New York State&rsquo;s Adirondack Park. We combined field and literature data and mark&ndash;recapture abundance estimates to parameterize an age-structured population model and used the model to assess the effects of each management strategy on abundance, catch per unit effort (CPUE), and harvest over a range of angler effort (0&ndash;2,000 angler-days/year). Lake Trout density (3.5 fish/ha for fish &ge; age 13, the estimated age at maturity) was similar to densities observed in other unexploited systems, but growth rate was relatively slow. Maximum harvest occurred at levels of effort &le; 1,000 angler-days/year in all the scenarios considered. Regulations that permitted harvest of large postmaturation fish, such as New York&rsquo;s standard Lake Trout minimum size limit or a trophy size limit, resulted in low harvest and high angler CPUE. Regulations that permitted harvest of small and sometimes immature fish, such as a protected slot or maximum size limit, allowed high harvest but resulted in low angler CPUE and produced rapid declines in harvest with increases in effort beyond the effort consistent with maximum yield. Management agencies can use these results to match regulations to management goals and to assess the risks of different management options for unexploited Lake Trout populations and other fish species with similar life history traits.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2015.1131780","usgsCitation":"Lenker, M.A., Weidel, B., Jensen, O.P., and Solomon, C.T., 2016, Developing recreational harvest regulations for an unexploited lake trout population: North American Journal of Fisheries Management, v. 36, no. 2, p. 385-397, https://doi.org/10.1080/02755947.2015.1131780.","productDescription":"13 p.","startPage":"385","endPage":"397","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065857","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":319754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","county":"Franklin County","city":"Harrietstown","otherGeospatial":"Adirondack Park, Follensby Pond","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.3,\n              44.2\n            ],\n            [\n              -74.3,\n              44.1\n            ],\n            [\n              -74.4,\n              44.1\n            ],\n            [\n              -74.4,\n              44.2\n            ],\n            [\n              -74.3,\n              44.2\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-31","publicationStatus":"PW","scienceBaseUri":"5703821ee4b0328dcb81b361","contributors":{"authors":[{"text":"Lenker, Melissa A","contributorId":168438,"corporation":false,"usgs":false,"family":"Lenker","given":"Melissa","email":"","middleInitial":"A","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":625938,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":625937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jensen, Olaf P.","contributorId":92159,"corporation":false,"usgs":false,"family":"Jensen","given":"Olaf","email":"","middleInitial":"P.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":625939,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Solomon, Christopher T.","contributorId":34014,"corporation":false,"usgs":false,"family":"Solomon","given":"Christopher","email":"","middleInitial":"T.","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":625940,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70160856,"text":"sir20155186 - 2016 - Hydrogeology and groundwater quality at monitoring wells installed for the Tunnel and Reservoir Plan System and nearby water-supply wells, Cook County, Illinois, 1995–2013","interactions":[],"lastModifiedDate":"2016-05-17T08:51:18","indexId":"sir20155186","displayToPublicDate":"2016-04-04T11:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5186","title":"Hydrogeology and groundwater quality at monitoring wells installed for the Tunnel and Reservoir Plan System and nearby water-supply wells, Cook County, Illinois, 1995–2013","docAbstract":"<p>Groundwater-quality data collected from 1995 through 2013 from 106 monitoring wells open to the base of the Silurian aquifer surrounding the Tunnel and Reservoir Plan (TARP) System in Cook County, Illinois, were analyzed by the U.S. Geological Survey, in cooperation with the Metropolitan Water Reclamation District of Greater Chicago, to assess the efficacy of the monitoring network and the effects of water movement from the tunnel system to the surrounding aquifer. Groundwater from the Silurian aquifer typically drains to the tunnel system so that analyte concentrations in most of the samples from most of the monitoring wells primarily reflect the concentration of the analyte in the nearby Silurian aquifer. Water quality in the Silurian aquifer is spatially variable because of a variety of natural and non-TARP anthropogenic processes. Therefore, the trends in analyte values at a given well from 1995 through 2013 are primarily a reflection of the spatial variation in the value of the analyte in groundwater within that part of the Silurian aquifer draining to the tunnels. Intermittent drainage of combined sewer flow from the tunnel system to the Silurian aquifer when flow in the tunnel systemis greater than 80 million gallons per day may affect water quality in some nearby monitoring wells. Intermittent drainage of combined sewer flow from the tunnel system to the Silurian aquifer appears to affect the values of electrical conductivity, hardness, sulfate, chloride, dissolved organic carbon, ammonia, and fecal coliform in samples from many wells but typically during less than 5 percent of the sampling events. Drainage of combined sewer flow into the aquifer is most prevalent in the downstream parts of the tunnel systems because of the hydraulic pressures elevated above background values and long residence time of combined sewer flow in those areas. Elevated values of the analytes emplaced during intermittent migration of combined sewer flow into the Silurian aquifer decrease through time as water from the aquifer drains back into the tunnels in response to typical hydraulic conditions. Of the analytes sampled, fecal coliform provides the clearest indication of the location and timing of combined sewer flow into the Silurian aquifer surrounding the tunnel system.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155186","collaboration":"Prepared in cooperation with the Metropolitan Water Reclamation District of Greater Chicago","usgsCitation":"Kay, R.T., 2016, Hydrogeology and groundwater quality at monitoring wells installed for the Tunnel and Reservoir Plan System and nearby water-supply wells, Cook County, Illinois, 1995–2013 (ver 1.1, May 2016): U.S. Geological Survey Scientific Investigations Report 2015–5186, 347 p., https://dx.doi.org/10.3133/sir20155186.","productDescription":"vi, 347 p.","numberOfPages":"357","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1995-01-01","ipdsId":"IP-063316","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":319409,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5186/coverthb1.jpg"},{"id":321237,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2015/5186/versionHist.txt","size":"1 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2015-5186"},{"id":319410,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5186/sir20155186.pdf","text":"Report","size":"4.82 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5186"}],"country":"United States","state":"Illinois","county":"Cook 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1.0: Originally posted April 4, 2016; Version 1.1: May 16, 2016","contact":"<p><a href=\"mailto:dc_il@usgs.gov\">Director</a> Illinois Water Science Center<br /> U.S. Geological Survey<br /> 405 N Goodwin<br /> Urbana, IL 61801<br /> <a href=\"http://il.water.usgs.gov/\">http://il.water.usgs.gov/</a></p>","tableOfContents":"<ul>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Methods of Study</li>\n<li>Hydrogeology in the Vicinity of the Tunnel and Reservoir Plan System</li>\n<li>Water Quality in Tunnel and Reservoir Plan System Monitoring Wells</li>\n<li>Coliform Bacteria and <em>Escherichia coli</em> Data from Water-Supply Wells in the Vicinity of the Tunnel and Reservoir Plan System</li>\n<li>Implications for Future Monitoring</li>\n<li>Summary and Conclusions&nbsp;</li>\n<li>Acknowledgments</li>\n<li>References Cited</li>\n</ul>","publishingServiceCenter":{"id":6,"text":"Columbus 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,{"id":70162405,"text":"70162405 - 2016 - An overview of current applications, challenges, and future trends in distributed process-based models in hydrology","interactions":[],"lastModifiedDate":"2016-04-04T08:56:09","indexId":"70162405","displayToPublicDate":"2016-04-04T09:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"An overview of current applications, challenges, and future trends in distributed process-based models in hydrology","docAbstract":"<p><span>Process-based hydrological models have a long history dating back to the 1960s. Criticized by some as over-parameterized, overly complex, and difficult to use, a more nuanced view is that these tools are necessary in many situations and, in a certain class of problems, they are the most appropriate type of hydrological model. This is especially the case in situations where knowledge of flow paths or distributed state variables and/or preservation of physical constraints is important. Examples of this include: spatiotemporal variability of soil moisture, groundwater flow and runoff generation, sediment and contaminant transport, or when feedbacks among various Earth&rsquo;s system processes or understanding the impacts of climate non-stationarity are of primary concern. These are situations where process-based models excel and other models are unverifiable. This article presents this pragmatic view in the context of existing literature to justify the approach where applicable and necessary. We review how improvements in data availability, computational resources and algorithms have made detailed hydrological simulations a reality. Avenues for the future of process-based hydrological models are presented suggesting their use as virtual laboratories, for design purposes, and with a powerful treatment of uncertainty.</span></p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.jhydrol.2016.03.026","usgsCitation":"Fatichi, S., Vivoni, E.R., Odgen, F.L., Ivanov, V.Y., Mirus, B.B., Gochis, D., Downer, C.W., Camporese, M., Davison, J.H., Ebel, B.A., Jones, N., Kim, J., Mascaro, G., Niswonger, R.G., Restrepo, P., Rigon, R., Shen, C., Sulis, M., and Tarboton, D., 2016, An overview of current applications, challenges, and future trends in distributed process-based models in hydrology: Journal of Hydrology, v. 537, p. 45-60, https://doi.org/10.1016/j.jhydrol.2016.03.026.","productDescription":"16 p.","startPage":"45","endPage":"60","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-072365","costCenters":[{"id":300,"text":"Geologic Hazards Science 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,{"id":70173842,"text":"70173842 - 2016 - Relation of initial spacing and relative stand density indices to stand characteristics in a Douglas-fir plantation spacing trial","interactions":[],"lastModifiedDate":"2016-06-22T11:19:15","indexId":"70173842","displayToPublicDate":"2016-04-04T05:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":73,"text":"Research Paper","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"PNW-RP-607","title":"Relation of initial spacing and relative stand density indices to stand characteristics in a Douglas-fir plantation spacing trial","docAbstract":"<p data-canvas-width=\"476.77850000000024\">This report presents updated information on a 1981 Douglas-fir (<i>Pseudotsuga menziesii</i> (Mirb.) Franco var. <i>menziesii</i>) plantation spacing trial at 33 years from planting. Stand statistics at the most recent measurement were compared for initial spacing of 1 through 6 meters and associated relative densities. There was no clear relationship of spacing to top height. Diameter, live crown ratio, and percent survival increased with spacing; basal area and relative density decreased with increase in spacing. Volume in trees &ge; 4 cm diameter was greatest at 2 m spacing, while utilizable volume (trees &ge;20 cm dbh) was greatest at 4 m spacing. Live crown ratio decreased and total crown projectional area increased with increasing relative density indices. Total crown projectional area was more closely related to relative density than to basal area.</p>","language":"English","publisher":"U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station","usgsCitation":"Curtis, R.O., Bansal, S., and Harrington, C.A., 2016, Relation of initial spacing and relative stand density indices to stand characteristics in a Douglas-fir plantation spacing trial: Research Paper PNW-RP-607, iv, 27 p.","productDescription":"iv, 27 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070887","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":324200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":323578,"type":{"id":15,"text":"Index Page"},"url":"https://www.treesearch.fs.fed.us/pubs/50790"}],"country":"United States","state":"Washington","otherGeospatial":"Gifford Pinchot National Forest, Trout Creek, Wind River Experimental Forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.0797348022461,\n              45.778299066443104\n            ],\n            [\n              -122.0797348022461,\n              45.86730177869196\n            ],\n            [\n              -121.92420959472655,\n              45.86730177869196\n            ],\n            [\n              -121.92420959472655,\n              45.778299066443104\n            ],\n            [\n              -122.0797348022461,\n              45.778299066443104\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576bb6bbe4b07657d1a2294a","contributors":{"authors":[{"text":"Curtis, Robert O.","contributorId":171786,"corporation":false,"usgs":false,"family":"Curtis","given":"Robert","email":"","middleInitial":"O.","affiliations":[{"id":26944,"text":"USDA-Forest Service, scientist emeritus","active":true,"usgs":false}],"preferred":false,"id":638682,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":638681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harrington, Constance A.","contributorId":168907,"corporation":false,"usgs":false,"family":"Harrington","given":"Constance","email":"","middleInitial":"A.","affiliations":[{"id":25384,"text":"USDA, Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":638683,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70168454,"text":"70168454 - 2016 - Tidal hydrodynamics under future sea level rise and coastal morphology in the Northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2021-12-20T20:16:50.967348","indexId":"70168454","displayToPublicDate":"2016-04-04T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Tidal hydrodynamics under future sea level rise and coastal morphology in the Northern Gulf of Mexico","docAbstract":"<p><span>This study examines the integrated influence of sea level rise (SLR) and future morphology on tidal hydrodynamics along the Northern Gulf of Mexico (NGOM) coast including seven embayments and three ecologically and economically significant estuaries. A large-domain hydrodynamic model was used to simulate astronomic tides for present and future conditions (circa 2050 and 2100). Future conditions were simulated by imposing four SLR scenarios to alter hydrodynamic boundary conditions and updating shoreline position and dune heights using a probabilistic model that is coupled to SLR. Under the highest SLR scenario, tidal amplitudes within the bays increased as much as 67% (10.0 cm) because of increases in the inlet cross-sectional area. Changes in harmonic constituent phases indicated that tidal propagation was faster in the future scenarios within most of the bays. Maximum tidal velocities increased in all of the bays, especially in Grand Bay where velocities doubled under the highest SLR scenario. In addition, the ratio of the maximum flood to maximum ebb velocity decreased in the future scenarios (i.e., currents became more ebb dominant) by as much as 26% and 39% in Weeks Bay and Apalachicola, respectively. In Grand Bay, the flood-ebb ratio increased (i.e., currents became more flood dominant) by 25% under the lower SLR scenarios, but decreased by 16% under the higher SLR as a result of the offshore barrier islands being overtopped, which altered the tidal prism. Results from this study can inform future storm surge and ecological assessments of SLR, and improve monitoring and management decisions within the NGOM.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015EF000332","usgsCitation":"Passeri, D., Hagen, S.C., Plant, N.G., Bilskie, M.V., Medeiros, S.C., and Alizad, K., 2016, Tidal hydrodynamics under future sea level rise and coastal morphology in the Northern Gulf of Mexico: Earth's Future, v. 4, no. 5, p. 159-176, https://doi.org/10.1002/2015EF000332.","productDescription":"18 p.","startPage":"159","endPage":"176","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070344","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471092,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015ef000332","text":"Publisher Index Page"},{"id":323953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Louisiana","city":"Apalachicola","otherGeospatial":"Apalachicola Bay, Chandeleur Islands, Choctawatchee Bay, Gulf of Mexico, Mississippi Sound, Mobile Bay, Pensacola Bay, Perdido Bay, St. Andrew Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.923095703125,\n              27.537500308359462\n            ],\n            [\n              -84.627685546875,\n              27.537500308359462\n            ],\n            [\n              -84.627685546875,\n              30.458144351018078\n            ],\n            [\n              -89.923095703125,\n              30.458144351018078\n            ],\n            [\n              -89.923095703125,\n              27.537500308359462\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"4","issue":"5","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-09","publicationStatus":"PW","scienceBaseUri":"576913ece4b07657d19ff29c","contributors":{"authors":[{"text":"Passeri, Davina 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":620665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hagen, Scott C.","contributorId":166890,"corporation":false,"usgs":false,"family":"Hagen","given":"Scott","email":"","middleInitial":"C.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":620666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":828732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bilskie, Matthew V.","contributorId":166891,"corporation":false,"usgs":false,"family":"Bilskie","given":"Matthew","email":"","middleInitial":"V.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":620668,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Medeiros, Stephen C.","contributorId":166892,"corporation":false,"usgs":false,"family":"Medeiros","given":"Stephen","email":"","middleInitial":"C.","affiliations":[{"id":24567,"text":"UCF","active":true,"usgs":false}],"preferred":false,"id":620669,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alizad, Karim","contributorId":166893,"corporation":false,"usgs":false,"family":"Alizad","given":"Karim","affiliations":[{"id":24567,"text":"UCF","active":true,"usgs":false}],"preferred":false,"id":620670,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192436,"text":"70192436 - 2016 - Enriched groundwater seeps in two Vermont headwater catchments are hotspots of nitrate turnover","interactions":[],"lastModifiedDate":"2017-10-30T11:22:28","indexId":"70192436","displayToPublicDate":"2016-04-04T00:00:00","publicationYear":"2016","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":"Enriched groundwater seeps in two Vermont headwater catchments are hotspots of nitrate turnover","docAbstract":"<p>Groundwater seeps in upland catchments are often enriched relative to stream waters, higher in pH, Ca<sup>2+</sup> and sometimes NO<sub>3</sub>¯. These seeps could be a NO<sub>3</sub>¯ sink because of increased denitrification potential but may also be ‘hotspots’ for nitrification because of the relative enrichment. We compared seep soils with nearby well-drained soils in two upland forested watersheds in Vermont that are sites of ongoing biogeochemical studies. Gross N transformation rates were measured over three years along with denitrification rates in the third year. Gross ammonification rates were not different between the seep and upland soils but gross nitrification rates were about 3 × higher in the seep soils. Net nitrification rates trended higher in the upland soils and NO<sub>3</sub>¯ consumption (gross—net) was 8 times higher in the seep soils. The average denitrification rate for seep soils was about equal to the difference in NO<sub>3</sub>¯ consumption between seep and upland soils, suggesting denitrification can make up the difference. Temporal variation in seep water NO<sub>3</sub>¯ concentration was correlated with watershed outlet NO<sub>3</sub>¯ concentration. However, it is not clear that in-seep processes greatly altered seep water NO<sub>3</sub>¯ contribution to the streams. Seep soils appear to be hotspots of both nitrification and denitrification.</p>","language":"English","publisher":"Springer","doi":"10.1007/s13157-016-0733-z","usgsCitation":"Kaur, A.J., Ross, D., Shanley, J.B., and Yatzor, A.R., 2016, Enriched groundwater seeps in two Vermont headwater catchments are hotspots of nitrate turnover: Wetlands, v. 36, no. 2, p. 237-249, https://doi.org/10.1007/s13157-016-0733-z.","productDescription":"13 p.","startPage":"237","endPage":"249","ipdsId":"IP-070374","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":347511,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","volume":"36","issue":"2","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-15","publicationStatus":"PW","scienceBaseUri":"59f83a3ce4b063d5d309810a","contributors":{"authors":[{"text":"Kaur, Amninder J.","contributorId":198364,"corporation":false,"usgs":false,"family":"Kaur","given":"Amninder","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":715818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ross, Donald S.","contributorId":178218,"corporation":false,"usgs":false,"family":"Ross","given":"Donald S.","affiliations":[],"preferred":false,"id":715819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yatzor, Anna R.","contributorId":198365,"corporation":false,"usgs":false,"family":"Yatzor","given":"Anna","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":715820,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70169099,"text":"70169099 - 2016 - Movement and survival of an amphibian in relation to sediment and culvert design","interactions":[],"lastModifiedDate":"2016-05-27T08:11:41","indexId":"70169099","displayToPublicDate":"2016-04-02T09:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Movement and survival of an amphibian in relation to sediment and culvert design","docAbstract":"<p><span>Habitat disturbance from stream culverts can affect aquatic organisms by increasing sedimentation or forming barriers to movement. Land managers are replacing many culverts to reduce these negative effects, primarily for stream fishes. However, these management actions are likely to have broad implications for many organisms, including amphibians in small streams. To assess the effects of culverts on movement and survival of the Idaho giant salamander (</span><i>Dicamptodon aterrimus</i><span>), we used capture-mark-recapture surveys and measured sediment in streams with 2 culvert types (i.e., unimproved culverts, improved culverts) and in streams without culverts (i.e., reference streams). We predicted culverts would increase stream sediment levels, limit movement, and reduce survival of Idaho giant salamanders. We also determined the effect of sediment levels on survival of salamanders because although sediment is often associated with distribution and abundance of stream amphibians, links with vital rates remain unclear. To estimate survival, we used a spatial Cormack&ndash;Jolly&ndash;Seber (CJS) model that explicitly incorporated information on movement, eliminating bias in apparent survival estimated from traditional (i.e., non-spatial) CJS models caused by permanent emigration beyond the study area. To demonstrate the importance of using spatial data in studies of wildlife populations, we compared estimates from the spatial CJS to estimates of apparent survival from a traditional CJS model. Although high levels of sediment reduced survival of salamanders, culvert type was unrelated to sediment levels or true survival of salamanders. Across all streams, we documented only 15 movement events between study reaches. All movement events were downstream, and they occurred disproportionately in 1 stream, which precluded measuring the effect of culvert design on movement. Although movement was low overall, the variance among streams was high enough to bias estimates of apparent survival compared to true survival. Our results suggest that where sedimentation occurs from roads and culverts, survival of the Idaho giant salamander could be reduced. Though culverts clearly do not completely block downstream movements of Idaho giant salamanders, the degree to which culvert improvements affect movements under roads in comparison to unimproved culverts remains unclear, especially for rare, but potentially important, upstream movements.</span></p>","language":"English","publisher":"Wildlife Society","publisherLocation":"Washington, D.C.","doi":"10.1002/jwmg.1056","usgsCitation":"Honeycutt, R., Lowe, W., and Hossack, B.R., 2016, Movement and survival of an amphibian in relation to sediment and culvert design: Journal of Wildlife Management, v. 80, no. 4, p. 761-770, https://doi.org/10.1002/jwmg.1056.","startPage":"761","endPage":"770","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065843","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":321812,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.510009765625,\n              45.75219336063106\n            ],\n            [\n              -116.510009765625,\n              48.125767833701666\n            ],\n            [\n              -113.97766113281249,\n              48.125767833701666\n            ],\n            [\n              -113.97766113281249,\n              45.75219336063106\n            ],\n            [\n              -116.510009765625,\n              45.75219336063106\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"80","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-02","publicationStatus":"PW","scienceBaseUri":"57496fb1e4b07e28b665cc7e","contributors":{"authors":[{"text":"Honeycutt, R.K","contributorId":167621,"corporation":false,"usgs":false,"family":"Honeycutt","given":"R.K","email":"","affiliations":[{"id":24785,"text":"Wildlife Biology Program, University of Montana, 32 Campus","active":true,"usgs":false}],"preferred":false,"id":622926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowe, W.H.","contributorId":91961,"corporation":false,"usgs":true,"family":"Lowe","given":"W.H.","affiliations":[],"preferred":false,"id":622927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":622925,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70174881,"text":"70174881 - 2016 - Evaluating potential artefacts of photo-reversal on behavioral studies with nocturnal invasive sea lamprey (<i>Petromyzon marinus<i>)","interactions":[],"lastModifiedDate":"2016-07-20T11:35:47","indexId":"70174881","displayToPublicDate":"2016-04-01T18:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating potential artefacts of photo-reversal on behavioral studies with nocturnal invasive sea lamprey (<i>Petromyzon marinus<i>)","docAbstract":"<p><span>Sea lampreys (</span><i>Petromyzon marinus</i><span>&nbsp;L., 1758) are nocturnal, so experiments evaluating their behaviour to chemosensory cues have typically been conducted at night. However, given the brief timeframe each year that adult&nbsp;</span><i>P. marinus</i><span>&nbsp;are available for experimentation, we investigated whether&nbsp;</span><i>P. marinus</i><span>&nbsp;exposed to a 12 h shifted diurnal cycle (reversed photoperiod) could be tested in a darkened arena during the day and show the same response to chemosensory cues as natural photoperiod&nbsp;</span><i>P. marinus</i><span>&nbsp;that were tested during the night. Ten replicates of 10&nbsp;</span><i>P. marinus</i><span>, from each photoperiod, were exposed to deionized water (negative control), 2-phenylethylamine hydrochloride (PEA HCl, putative predator cue), or&nbsp;</span><i>P. marinus</i><span>&nbsp;whole-body extract (conspecific alarm cue). All&nbsp;</span><i>P. marinus</i><span>&nbsp;demonstrated a significant avoidance response to both cues. No significant differences were found in avoidance to PEA HCl between photoperiods. Avoidance of&nbsp;</span><i>P. marinus</i><span>&nbsp;whole-body extract was significantly stronger in natural compared with reversed photoperiod&nbsp;</span><i>P. marinus</i><span>. The use of reversed photoperiod subjects is suitable for examining the presence or absence of avoidance in response to novel chemosensory alarm cues, or the change in the magnitude of antipredator response. Studies investigating the natural magnitude of antipredator response should use natural photoperiod experimental subjects.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjz-2015-0254","collaboration":"Matthew Barnett; R.T. Di Rocco; Grant E. Brown; C. Michael Wager","usgsCitation":"Barnett, M., Imre, I., Wagner, C., Di Rocco, R.T., Johnson, N., and Brown, G.E., 2016, Evaluating potential artefacts of photo-reversal on behavioral studies with nocturnal invasive sea lamprey (<i>Petromyzon marinus<i>): Canadian Journal of Zoology, v. 94, no. 6, p. 405-410, https://doi.org/10.1139/cjz-2015-0254.","productDescription":"5 p.","startPage":"405","endPage":"410","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073715","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":325474,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"94","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5790a17ee4b030378fb47428","contributors":{"authors":[{"text":"Barnett, Matthew","contributorId":173003,"corporation":false,"usgs":false,"family":"Barnett","given":"Matthew","email":"","affiliations":[{"id":6585,"text":"Algoma University","active":true,"usgs":false}],"preferred":false,"id":642966,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Imre, Istvan","contributorId":150985,"corporation":false,"usgs":false,"family":"Imre","given":"Istvan","email":"","affiliations":[{"id":6585,"text":"Algoma University","active":true,"usgs":false}],"preferred":false,"id":642967,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, C. Michael","contributorId":173006,"corporation":false,"usgs":false,"family":"Wagner","given":"C. Michael","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":642970,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Di Rocco, Richard T.","contributorId":173004,"corporation":false,"usgs":false,"family":"Di Rocco","given":"Richard","email":"","middleInitial":"T.","affiliations":[{"id":6585,"text":"Algoma University","active":true,"usgs":false}],"preferred":false,"id":642968,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":642965,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brown, Grant E.","contributorId":173005,"corporation":false,"usgs":false,"family":"Brown","given":"Grant","email":"","middleInitial":"E.","affiliations":[{"id":6586,"text":"Concordia University","active":true,"usgs":false}],"preferred":false,"id":642969,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70202369,"text":"70202369 - 2016 - Managing nutrients, water, and energy for producing more food with low pollution (MoFoLoPo); What would success look like?","interactions":[],"lastModifiedDate":"2019-02-26T14:56:18","indexId":"70202369","displayToPublicDate":"2016-04-01T14:56:09","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1532,"text":"Environmental Development","active":true,"publicationSubtype":{"id":10}},"title":"Managing nutrients, water, and energy for producing more food with low pollution (MoFoLoPo); What would success look like?","docAbstract":"Synthetic nitrogen (N) fertilizer has enabled modern agriculture to greatly improve human nutrition during the 20th century, but it has also created unintended human health and environmental pollution challenges for the 21st century. Averaged globally, about half of the fertilizer N applied to farms is removed with the crops, while the other half remains in the soil or is lost from farmers’ fields, resulting in water and air pollution. As human population continues to grow and food security improves in the developing world, the dual development goals of producing more nutritious food with low pollution will require both technological and socio-economic innovations in agriculture.","language":"English","publisher":"Elsevier","doi":"10.1016/j.envdev.2016.03.002","usgsCitation":"Baron, J., 2016, Managing nutrients, water, and energy for producing more food with low pollution (MoFoLoPo); What would success look like?: Environmental Development, v. 18, p. 52-53, https://doi.org/10.1016/j.envdev.2016.03.002.","productDescription":"2 p.","startPage":"52","endPage":"53","ipdsId":"IP-073940","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":361558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Baron, Jill 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":194124,"corporation":false,"usgs":true,"family":"Baron","given":"Jill","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":758047,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70199158,"text":"70199158 - 2016 - Multi-laboratory survey of qPCR enterococci analysis method performance in U.S. coastal and inland surface waters","interactions":[],"lastModifiedDate":"2018-09-07T11:06:31","indexId":"70199158","displayToPublicDate":"2016-04-01T11:06:23","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2390,"text":"Journal of Microbiological Methods","active":true,"publicationSubtype":{"id":10}},"title":"Multi-laboratory survey of qPCR enterococci analysis method performance in U.S. coastal and inland surface waters","docAbstract":"<p><span>Quantitative polymerase chain reaction (qPCR) has become a frequently used technique for quantifying enterococci in recreational surface waters, but there are several methodological options. Here we evaluated how three method permutations, type of mastermix, sample extract dilution and use of controls in results calculation, affect method reliability among multiple laboratories with respect to sample interference. Multiple samples from each of 22 sites representing an array of habitat types were analyzed using EPA Method 1611 and 1609 reagents with full strength and five-fold diluted extracts. The presence of interference was assessed three ways: using sample processing and PCR amplifications controls; consistency of results across extract dilutions; and relative recovery of target genes from spiked enterococci in water sample compared to control matrices with acceptable recovery defined as 50 to 200%. Method 1609, which is based on an environmental mastermix, was found to be superior to Method 1611, which is based on a universal mastermix. Method 1611 had over a 40% control assay failure rate with undiluted extracts and a 6% failure rate with diluted extracts. Method 1609 failed in only 11% and 3% of undiluted and diluted extracts analyses. Use of sample processing control assay results in the delta–delta Ct method for calculating relative target gene recoveries increased the number of acceptable recovery results. Delta–delta tended to bias recoveries from apparent partially inhibitory samples on the high side which could help in avoiding potential underestimates of enterococci — an important consideration in a public health context. Control assay and delta–delta recovery results were largely consistent across the range of habitats sampled, and among laboratories. The methodological option that best balanced acceptable estimated target gene recoveries with method sensitivity and avoidance of underestimated enterococci densities was Method 1609 without extract dilution and using the delta–delta calculation method. The applicability of this method can be extended by the analysis of diluted extracts to sites where interference is indicated but, particularly in these instances, should be confirmed by augmenting the control assays with analyses for target gene recoveries from spiked target organisms.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.mimet.2016.01.017","usgsCitation":"Haugland, R.A., Siefring, S., Varma, M., Oshima, K.H., Sivaganesan, M., Cao, Y., Raith, M., Griffith, J., Weisberg, S.B., Noble, R.T., Blackwood, A.D., Kinzelman, J., Anan’eva, T., Bushon, R.N., Stelzer, E.A., Harwood, V.J., Gordon, K.V., and Sinigalliano, C., 2016, Multi-laboratory survey of qPCR enterococci analysis method performance in U.S. coastal and inland surface waters: Journal of Microbiological Methods, v. 123, p. 114-125, https://doi.org/10.1016/j.mimet.2016.01.017.","productDescription":"12 p.","startPage":"114","endPage":"125","ipdsId":"IP-101153","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":471094,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.17615/k7h6-m925","text":"External Repository"},{"id":357113,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a622e4b0702d0e8430c2","contributors":{"authors":[{"text":"Haugland, Richard A.","contributorId":207703,"corporation":false,"usgs":false,"family":"Haugland","given":"Richard","email":"","middleInitial":"A.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":744463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Siefring, Shawn","contributorId":207704,"corporation":false,"usgs":false,"family":"Siefring","given":"Shawn","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":744464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Varma, Manju","contributorId":207705,"corporation":false,"usgs":false,"family":"Varma","given":"Manju","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":744465,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oshima, Kevin H.","contributorId":178927,"corporation":false,"usgs":false,"family":"Oshima","given":"Kevin","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":744466,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sivaganesan, Mano","contributorId":207706,"corporation":false,"usgs":false,"family":"Sivaganesan","given":"Mano","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":744467,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cao, Yiping","contributorId":207707,"corporation":false,"usgs":false,"family":"Cao","given":"Yiping","email":"","affiliations":[{"id":13211,"text":"Southern California Coastal Water Research Project Authority","active":true,"usgs":false}],"preferred":false,"id":744468,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Raith, Meredith","contributorId":207708,"corporation":false,"usgs":false,"family":"Raith","given":"Meredith","email":"","affiliations":[{"id":13211,"text":"Southern California Coastal Water Research Project Authority","active":true,"usgs":false}],"preferred":false,"id":744469,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Griffith, John","contributorId":207709,"corporation":false,"usgs":false,"family":"Griffith","given":"John","affiliations":[{"id":13211,"text":"Southern California Coastal Water Research Project Authority","active":true,"usgs":false}],"preferred":false,"id":744470,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Weisberg, Stephen B.","contributorId":207710,"corporation":false,"usgs":false,"family":"Weisberg","given":"Stephen","email":"","middleInitial":"B.","affiliations":[{"id":13211,"text":"Southern California Coastal Water Research Project Authority","active":true,"usgs":false}],"preferred":false,"id":744471,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Noble, Rachel T.","contributorId":207711,"corporation":false,"usgs":false,"family":"Noble","given":"Rachel","email":"","middleInitial":"T.","affiliations":[{"id":37611,"text":"Institute of Marine Sciences, University of North Carolina at Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":744472,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Blackwood, A. Denene","contributorId":207712,"corporation":false,"usgs":false,"family":"Blackwood","given":"A.","email":"","middleInitial":"Denene","affiliations":[{"id":37611,"text":"Institute of Marine Sciences, University of North Carolina at Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":744473,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kinzelman, Julie","contributorId":207713,"corporation":false,"usgs":false,"family":"Kinzelman","given":"Julie","affiliations":[{"id":37612,"text":"City of Racine Health Department","active":true,"usgs":false}],"preferred":false,"id":744474,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Anan’eva, Tamara","contributorId":207714,"corporation":false,"usgs":false,"family":"Anan’eva","given":"Tamara","email":"","affiliations":[{"id":37612,"text":"City of Racine Health Department","active":true,"usgs":false}],"preferred":false,"id":744475,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Bushon, Rebecca N. 0000-0003-1843-9719 rnbushon@usgs.gov","orcid":"https://orcid.org/0000-0003-1843-9719","contributorId":207702,"corporation":false,"usgs":true,"family":"Bushon","given":"Rebecca","email":"rnbushon@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":744462,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Stelzer, Erin A. 0000-0001-7645-7603 eastelzer@usgs.gov","orcid":"https://orcid.org/0000-0001-7645-7603","contributorId":1933,"corporation":false,"usgs":true,"family":"Stelzer","given":"Erin","email":"eastelzer@usgs.gov","middleInitial":"A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":744476,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Harwood, Valarie J.","contributorId":207715,"corporation":false,"usgs":false,"family":"Harwood","given":"Valarie","email":"","middleInitial":"J.","affiliations":[{"id":37613,"text":"Department of Integrative Biology, University of South Florida","active":true,"usgs":false}],"preferred":false,"id":744477,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Gordon, Katrina V.","contributorId":207716,"corporation":false,"usgs":false,"family":"Gordon","given":"Katrina","email":"","middleInitial":"V.","affiliations":[{"id":37613,"text":"Department of Integrative Biology, University of South Florida","active":true,"usgs":false}],"preferred":false,"id":744478,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Sinigalliano, Christopher","contributorId":207717,"corporation":false,"usgs":false,"family":"Sinigalliano","given":"Christopher","affiliations":[{"id":37614,"text":"National Oceanic Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":744479,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70170956,"text":"70170956 - 2016 - Informing Lake Erie agriculture nutrient management via scenario evaluation","interactions":[],"lastModifiedDate":"2016-05-23T15:08:58","indexId":"70170956","displayToPublicDate":"2016-04-01T07:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Informing Lake Erie agriculture nutrient management via scenario evaluation","docAbstract":"<p>Harmful algal blooms (HABs) have been increasing in extent and intensity in the western basin of Lake Erie. The cyanobacteria <i>Microcystis</i> produces toxins that pose serious threats to animal and human health, resulting in beach closures and impaired water supplies, and have even forced a &ldquo;do not drink&rdquo; advisory for the City of Toledo water system for several days in the summer of 2014. The main driver of Lake Erie HABs is elevated phosphorus loading from watersheds draining to the western basin, particularly from the Maumee River watershed (Obenour et al. 2014). Through the 2012 Great Lakes Water Quality Agreement (GLWQA), the U.S. and Canadian governments agreed to revise Lake Erie phosphorus loading targets to decrease HAB severity below levels representing a hazard to ecosystem and human health. New targets limit March-July loadings from the Maumee River to 186 metric tonnes of dissolved reactive phosphorus (DRP) and 860 metric tonnes of total phosphorus (TP) &ndash; a 40% reduction from 2008 loads (GLWQA 2016).</p>\n<p>The Great Lakes region must now determine what policy options are most effective and feasible for meeting those targets. While all sources are important, our focus is on agriculture because it overwhelms other sources. In a conservative ballpark estimate we found that 85% of the Maumee River&rsquo;s load to Lake Erie comes from farm fertilizers and manures, even though this is only 10% of farmland fertilizer applications (Figure 1). Load targets will not be met without reductions from agriculture.</p>\n<p>Therefore, the overall goal of this study was to identify potential options for agricultural management to reduce phosphorus loads and lessen future HABs in Lake Erie. We applied multiple watershed models to test the ability of a series of land management scenarios, developed in consultation with agricultural and environmental stakeholders, to reach the proposed targets.&nbsp;</p>","language":"English","publisher":"University of Michigan Water Center","usgsCitation":"Scavia, D., Kalcic, M., Muenich, R.L., Aloysius, N., Arnold, J., Boles, C., Confesor, R., DePinto, J., Gildow, M., Martin, J., Read, J., Redder, T., Robertson, D.M., Sowa, S.P., Wang, Y., White, M., and Yen, H., 2016, Informing Lake Erie agriculture nutrient management via scenario evaluation, 79 p.","productDescription":"79 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074926","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":321515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":321514,"rank":1,"type":{"id":15,"text":"Index 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Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":630049,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"White, Michael","contributorId":169565,"corporation":false,"usgs":false,"family":"White","given":"Michael","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":630050,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Yen, Haw 0000-0002-5509-8792","orcid":"https://orcid.org/0000-0002-5509-8792","contributorId":169564,"corporation":false,"usgs":false,"family":"Yen","given":"Haw","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":630051,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70188443,"text":"70188443 - 2016 - A multiagency and multijurisdictional approach to mapping the glacial deposits of the Great Lakes region in three dimensions","interactions":[],"lastModifiedDate":"2017-06-09T13:48:14","indexId":"70188443","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"A multiagency and multijurisdictional approach to mapping the glacial deposits of the Great Lakes region in three dimensions","docAbstract":"<p><span>The Great Lakes Geologic Mapping Coalition (GLGMC), consisting of state geological surveys from all eight Great Lakes states, the Ontario Geological Survey, and the U.S. Geological Survey, was conceived out of a societal need for unbiased and scientifically defensible geologic information on the shallow subsurface, particularly the delineation, interpretation, and viability of groundwater resources. Only a small percentage (&lt;10%) of the region had been mapped in the subsurface, and there was recognition that no single agency had the financial, intellectual, or physical resources to conduct such a massive geologic mapping effort at a detailed scale over a wide jurisdiction. The GLGMC provides a strategy for generating financial and stakeholder support for three-dimensional (3-D) geologic mapping, pooling of physical and personnel resources, and sharing of mapping and technological expertise to characterize the thick cover of glacial sediments. Since its inception in 1997, the GLGMC partners have conducted detailed surficial and 3-D geologic mapping within all jurisdictions, and concurrent significant scientific advancements have been made to increase understanding of the history and framework of geologic processes. More importantly, scientific information has been provided to public policymakers in understandable formats, emphasis has been placed on training early-career scientists in new mapping techniques and emerging technologies, and a successful model has been developed of state/provincial and federal collaboration focused on geologic mapping, as evidenced by this program's unprecedented and long-term successful experiment of 10 geological surveys working together to address common issues.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2016.2520(37)","usgsCitation":"Berg, R.C., Brown, S.E., Thomason, J.F., Hasenmueller, N.R., Letsinger, S.L., Kincare, K.A., Esch, J.M., Kehew, A.E., Thorleifson, H., Kozlowski, A., Bird, B.C., Pavey, R.R., Bajc, A.F., Burt, A.K., Fleeger, G.M., and Carson, E.C., 2016, A multiagency and multijurisdictional approach to mapping the glacial deposits of the Great Lakes region in three dimensions: GSA Special Papers, v. 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E.","contributorId":192822,"corporation":false,"usgs":false,"family":"Brown","given":"Steven","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":697784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomason, Jason F.","contributorId":192823,"corporation":false,"usgs":false,"family":"Thomason","given":"Jason","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":697785,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hasenmueller, Nancy R.","contributorId":192824,"corporation":false,"usgs":false,"family":"Hasenmueller","given":"Nancy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":697786,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Letsinger, Sally 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M.","contributorId":192826,"corporation":false,"usgs":false,"family":"Esch","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":697788,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kehew, Alan E.","contributorId":192827,"corporation":false,"usgs":false,"family":"Kehew","given":"Alan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":697789,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thorleifson, Harvey 0000-0001-7160-255X","orcid":"https://orcid.org/0000-0001-7160-255X","contributorId":192828,"corporation":false,"usgs":false,"family":"Thorleifson","given":"Harvey","email":"","affiliations":[{"id":38105,"text":"Minnesota Geological Survey","active":true,"usgs":false}],"preferred":false,"id":697790,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kozlowski, Andrew","contributorId":192829,"corporation":false,"usgs":false,"family":"Kozlowski","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":697791,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bird, Brian C.","contributorId":192830,"corporation":false,"usgs":false,"family":"Bird","given":"Brian","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":697792,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pavey, Richard R.","contributorId":192831,"corporation":false,"usgs":false,"family":"Pavey","given":"Richard","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":697793,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Bajc, Andy F.","contributorId":192832,"corporation":false,"usgs":false,"family":"Bajc","given":"Andy","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":697794,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Burt, Abigail K.","contributorId":192833,"corporation":false,"usgs":false,"family":"Burt","given":"Abigail","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":697795,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Fleeger, Gary M.","contributorId":192834,"corporation":false,"usgs":false,"family":"Fleeger","given":"Gary","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":697796,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Carson, Eric C.","contributorId":192835,"corporation":false,"usgs":false,"family":"Carson","given":"Eric","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":697797,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70188066,"text":"70188066 - 2016 - The power of remote sensing: Global monitoring of weather, water, and crops with satellites and data integration","interactions":[],"lastModifiedDate":"2020-12-21T16:00:29.132398","indexId":"70188066","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5406,"text":"Resource: Engineering and Technology for a Sustainable World","printIssn":"1076-3333","active":true,"publicationSubtype":{"id":10}},"title":"The power of remote sensing: Global monitoring of weather, water, and crops with satellites and data integration","docAbstract":"<p>Imagine a family of six whose livelihood is based on subsistence farming on a small, maybe one hectare, parcel of land somewhere in Africa. The seasonal rainfall varies greatly, from 500 to 800 mm per year, and the land is degraded. Thus, the parcel’s total productivity is not more than 1.5 tonnes in a good year, hardly meeting the family’s food requirements. The lack of surplus grain eliminates the need for grain storage structures, and due to the high rainfall variability, drought hazard is always looming, with an average recurrence interval of five to ten years.</p>","language":"English","publisher":"American Society of Agricultural and Biological Engineers","usgsCitation":"Senay, G., 2016, The power of remote sensing: Global monitoring of weather, water, and crops with satellites and data integration: Resource: Engineering and Technology for a Sustainable World, v. 23, no. 2, p. 6-9.","productDescription":"4 p.","startPage":"6","endPage":"9","ipdsId":"IP-069936","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":341855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":341853,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://elibrary.asabe.org/abstract.asp?aid=46628"}],"volume":"23","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592e84b9e4b092b266f10d32","contributors":{"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":166812,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":696381,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70168634,"text":"70168634 - 2016 - Increasing influence of air temperature on upper Colorado River streamflow","interactions":[],"lastModifiedDate":"2018-04-03T11:23:43","indexId":"70168634","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Increasing influence of air temperature on upper Colorado River streamflow","docAbstract":"<p><span>This empirical study examines the influence of precipitation, temperature, and antecedent soil moisture on upper Colorado River basin (UCRB) water year streamflow over the past century. While cool season precipitation explains most of the variability in annual flows, temperature appears to be highly influential under certain conditions, with the role of antecedent fall soil moisture less clear. In both wet and dry years, when flow is substantially different than expected given precipitation, these factors can modulate the dominant precipitation influence on streamflow. Different combinations of temperature, precipitation, and soil moisture can result in flow deficits of similar magnitude, but recent droughts have been amplified by warmer temperatures that exacerbate the effects of relatively modest precipitation deficits. Since 1988, a marked increase in the frequency of warm years with lower flows than expected, given precipitation, suggests continued warming temperatures will be an increasingly important influence in reducing future UCRB water supplies.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015GL067613","usgsCitation":"Woodhouse, C.A., Pederson, G.T., Morino, K., McAfee, S., and McCabe, G., 2016, Increasing influence of air temperature on upper Colorado River streamflow: Geophysical Research Letters, v. 43, no. 5, p. 2174-2181, https://doi.org/10.1002/2015GL067613.","productDescription":"8 p.","startPage":"2174","endPage":"2181","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069464","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":471106,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gl067613","text":"Publisher Index Page"},{"id":322023,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-09","publicationStatus":"PW","scienceBaseUri":"57500767e4b0ee97d51bb659","contributors":{"authors":[{"text":"Woodhouse, Connie A.","contributorId":187601,"corporation":false,"usgs":false,"family":"Woodhouse","given":"Connie","email":"","middleInitial":"A.","affiliations":[{"id":32413,"text":"University of Arizona, Tucson, AZ, USA, 85721","active":true,"usgs":false}],"preferred":false,"id":621077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":621076,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morino, Kiyomi","contributorId":78210,"corporation":false,"usgs":true,"family":"Morino","given":"Kiyomi","email":"","affiliations":[],"preferred":false,"id":621078,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McAfee, Stephanie A.","contributorId":167115,"corporation":false,"usgs":false,"family":"McAfee","given":"Stephanie A.","affiliations":[{"id":24618,"text":"Department of Geography, University of Nevada, Reno, Reno, NV","active":true,"usgs":false}],"preferred":false,"id":621079,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":167116,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory J.","email":"gmccabe@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":621080,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70169003,"text":"70169003 - 2016 - Low soil moisture during hot periods drives apparent negative temperature sensitivity of soil respiration in a dryland ecosystem: A multi-model comparison","interactions":[],"lastModifiedDate":"2020-12-17T19:08:24.558711","indexId":"70169003","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Low soil moisture during hot periods drives apparent negative temperature sensitivity of soil respiration in a dryland ecosystem: A multi-model comparison","docAbstract":"<p><span>Arid and semiarid ecosystems (drylands) may dominate the trajectory of biosphere-to-atmosphere carbon (C) exchange, and understanding dryland CO</span><sub>2</sub><span>&nbsp;efflux is important for C cycling at the global-scale. However, unknowns remain regarding how temperature and moisture interact to regulate dryland soil respiration (</span><i>R</i><span>&nbsp;</span><sub><i>s</i><span>&nbsp;</span></sub><span>), while ‘islands of fertility’ in drylands create spatially heterogeneous&nbsp;</span><i>R</i><span>&nbsp;</span><sub><i>s</i><span>&nbsp;</span></sub><span>. At a site in southeastern Utah, USA we added or removed litter (0–650&nbsp;% of control) in plots associated with either shrubs or biological soil crust-dominated interspaces between vascular plants. We measured&nbsp;</span><i>R</i><span>&nbsp;</span><sub><i>s</i><span>&nbsp;</span></sub><span>, soil temperature (T</span><sub>s</sub><span>), and water content (θ) repeatedly from October 2013 to November 2014.&nbsp;</span><i>R</i><span>&nbsp;</span><sub><i>s</i><span>&nbsp;</span></sub><span>was highest following rain in late summer at T</span><sub>s</sub><span>&nbsp;~30&nbsp;°C, and lowest mid-summer at T</span><sub>s</sub><span>&nbsp;&gt; 40&nbsp;°C, resulting in apparent negative temperature sensitivity of&nbsp;</span><i>R</i><span>&nbsp;</span><sub><i>s</i><span>&nbsp;</span></sub><span>at high temperatures, and positive temperature sensitivity at low-moderate temperatures. We used Bayesian statistical methods to compare models capturing a range of hypothesized relationships between T</span><sub>s</sub><span>, θ, and&nbsp;</span><i>R</i><span>&nbsp;</span><sub><i>s</i><span>&nbsp;</span></sub><span>. The best model indicates that apparent negative temperature sensitivity of&nbsp;</span><i>R</i><span>&nbsp;</span><sub><i>s</i><span>&nbsp;</span></sub><span>at high T</span><sub>s</sub><span>&nbsp;reflects the control of water content, not high temperatures. Modeled Q</span><sub>10</sub><span>&nbsp;ranged from 2.7 to 1.4 between 5 and 45&nbsp;°C. Litter addition had no effect on Q</span><sub>10</sub><span>&nbsp;or reference respiration (</span><i>R</i><span>&nbsp;</span><sub><i>ref</i><span>&nbsp;</span></sub><span>&nbsp;=&nbsp;</span><i>R</i><span>&nbsp;</span><sub><i>s</i><span>&nbsp;</span></sub><span>at 20&nbsp;°C and optimum θ) beneath shrubs, and little effect on&nbsp;</span><i>R</i><span>&nbsp;</span><sub><i>ref</i><span>&nbsp;</span></sub><span>in interspaces, yet&nbsp;</span><i>R</i><span>&nbsp;</span><sub><i>ref</i><span>&nbsp;</span></sub><span>was 1.5 times higher beneath shrubs than in interspaces. Altogether, these results suggest reduced&nbsp;</span><i>R</i><span>&nbsp;</span><sub><i>s</i><span>&nbsp;</span></sub><span>often observed at high T</span><sub>s</sub><span>&nbsp;in drylands is dominated by the control of θ, and, on shorter-timescales, variable litter inputs exert minimal control over&nbsp;</span><i>R</i><span>&nbsp;</span><sub><i>s</i><span>&nbsp;</span></sub><span>.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10533-016-0200-1","usgsCitation":"Tucker, C., and Reed, S.C., 2016, Low soil moisture during hot periods drives apparent negative temperature sensitivity of soil respiration in a dryland ecosystem: A multi-model comparison: Biogeochemistry, v. 128, no. 1, p. 155-169, https://doi.org/10.1007/s10533-016-0200-1.","productDescription":"15 p.","startPage":"155","endPage":"169","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070711","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":322026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"128","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-02","publicationStatus":"PW","scienceBaseUri":"57500769e4b0ee97d51bb679","contributors":{"authors":[{"text":"Tucker, Colin 0000-0002-4539-7780 ctucker@usgs.gov","orcid":"https://orcid.org/0000-0002-4539-7780","contributorId":167487,"corporation":false,"usgs":true,"family":"Tucker","given":"Colin","email":"ctucker@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":622468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":622469,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70179162,"text":"70179162 - 2016 - 2015 National Park visitor spending effects: Economic contributions to local communities, states, and the nation","interactions":[],"lastModifiedDate":"2016-12-20T12:55:05","indexId":"70179162","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NRSS/EQD/NRR—2016/1200","title":"2015 National Park visitor spending effects: Economic contributions to local communities, states, and the nation","docAbstract":"<p>The National Park Service (NPS) manages the Nation’s most iconic destinations that attract millions of visitors from across the Nation and around the world. Trip-related spending by NPS visitors generates and supports a considerable amount of economic activity within park gateway communities. This economic effects analysis measures how NPS visitor spending cycles through local economies, generating business sales and supporting jobs and income.</p><p>In 2015, the National Park System received over 307.2 million recreation visits. NPS visitors spent \\$16.9 billion in local gateway regions (defined as communities within 60 miles of a park). The contribution of this spending to the national economy was 295 thousand jobs, \\$11.1 billion in labor income, \\$18.4 billion in value added, and \\$32.0 billion in economic output. The lodging sector saw the highest direct contributions with \\$5.2 billion in economic output directly contributed to local gateway economies nationally. The sector with the next greatest direct contributions was the restaurants and bar sector, with \\$3.4 billion in economic output directly contributed to local gateway economies nationally.</p><p>Results from the Visitor Spending Effects report series are available online via an interactive tool. Users can view year-by-year trend data and explore current year visitor spending, jobs, labor income, value added, and economic output effects by sector for national, state, and local economies. This interactive tool is available at http://go.nps.gov/vse.</p>","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Cullinane Thomas, C., and Koontz, L., 2016, 2015 National Park visitor spending effects: Economic contributions to local communities, states, and the nation: Natural Resource Report NPS/NRSS/EQD/NRR—2016/1200, v, 53 p.","productDescription":"v, 53 p.","numberOfPages":"62","ipdsId":"IP-074337","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":332338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":332309,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/subjects/socialscience/vse.htm"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585a51bee4b01224f329b5eb","contributors":{"authors":[{"text":"Cullinane Thomas, Catherine M. 0000-0001-8168-1271 ccullinanethomas@usgs.gov","orcid":"https://orcid.org/0000-0001-8168-1271","contributorId":5281,"corporation":false,"usgs":true,"family":"Cullinane Thomas","given":"Catherine M.","email":"ccullinanethomas@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":656250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koontz, Lynne koontzl@usgs.gov","contributorId":2174,"corporation":false,"usgs":false,"family":"Koontz","given":"Lynne","email":"koontzl@usgs.gov","affiliations":[{"id":7016,"text":"Environmental Quality Division, National Park Service, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":656251,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70177888,"text":"70177888 - 2016 - Effects of urban land-use on largescale stonerollers in the Mobile River Basin, Birmingham, AL","interactions":[],"lastModifiedDate":"2016-10-26T14:27:33","indexId":"70177888","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of urban land-use on largescale stonerollers in the Mobile River Basin, Birmingham, AL","docAbstract":"<p><span>During the spring and fall of 2001 and the spring of 2002 a study was conducted to evaluate the health of the largescale stoneroller (</span><i class=\"EmphasisTypeItalic \">Campostoma oligolepis)</i><span> populations in streams along an urban land-use gradient. Sites were selected from a pool of naturally similar sub-basins (eco-region, basin size, and geology) of the Mobile River basin (MRB), using an index of urban intensity derived from infrastructure, socioeconomic, and land-use data. This urban land-use gradient (ULUG) is a multimetric indicator of urban intensity, ranging from 0 (background) to 100 (intense urbanization). </span><i class=\"EmphasisTypeItalic \">Campostoma</i><span> sp. have been used previously as indicators of stream health and are common species found in all sites within the MRB. Endpoints used to determine the effects of urban land-use on the largescale stoneroller included total glutathione, histology, hepatic apoptosis, condition factor and external lesions. Liver glutathione levels were positively associated with increasing urban land-use (r</span><sup>2</sup><span>&nbsp;=&nbsp;0.94). Histopathological examination determined that some abnormalities and lesions were correlated with the ULUG and generally increased in prevalence or severity with increasing urbanization. Liver macrophage aggregates were positively correlated to the ULUG. The occurrence of nucleosomal ladders (indicating apoptotic cell death) did not correspond with urban intensity in a linear fashion. Apoptosis, as well as prevalence and severity of a myxozoan parasite, appeared to have a hormetic dose–response relationship. The majority of the biomarkers suggested fish health was compromised in areas where the ULUG&nbsp;≥&nbsp;36.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10646-016-1620-3","usgsCitation":"Iwanowicz, D.D., Black, M., Blazer, V., Zappia, H., and Bryant, W., 2016, Effects of urban land-use on largescale stonerollers in the Mobile River Basin, Birmingham, AL: Ecotoxicology, v. 25, no. 3, p. 608-621, https://doi.org/10.1007/s10646-016-1620-3.","productDescription":"14 p.","startPage":"608","endPage":"621","ipdsId":"IP-052558","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":330425,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Mobile River Basin","volume":"25","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-18","publicationStatus":"PW","scienceBaseUri":"5811c0f2e4b0f497e79a5a75","contributors":{"authors":[{"text":"Iwanowicz, Deborah D. 0000-0002-9613-8594 diwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-9613-8594","contributorId":2253,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Deborah","email":"diwanowicz@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":652031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Black, M.C.","contributorId":89091,"corporation":false,"usgs":true,"family":"Black","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":652032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":652033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zappia, H.","contributorId":94474,"corporation":false,"usgs":true,"family":"Zappia","given":"H.","affiliations":[],"preferred":false,"id":652034,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bryant, Wade L. Jr. wbbryant@usgs.gov","contributorId":1777,"corporation":false,"usgs":true,"family":"Bryant","given":"Wade L.","suffix":"Jr.","email":"wbbryant@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":652035,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178035,"text":"70178035 - 2016 - Airborne pathogens from dairy manure aerial irrigation and the human health risk","interactions":[],"lastModifiedDate":"2016-12-19T17:44:05","indexId":"70178035","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Airborne pathogens from dairy manure aerial irrigation and the human health risk","docAbstract":"<p>Dairy manure, like the fecal excrement from any domesticated or wild animal, can contain pathogens capable of infecting humans and causing illness or even death. Pathogens in dairy manure can be broadly divided into categories of taxonomy or infectiousness. Dividing by taxonomy there are three pathogen groups in dairy manure: viruses (e.g., bovine rotavirus), bacteria (e.g., Salmonella species), and protozoa (e.g., Cryptosporidium parvum). There are two categories of infectiousness for pathogens found in animals: those that are zoonotic and those that are not. A zoonotic pathogen is one that can infect both human and animal hosts. Some zoonotic pathogens found in dairy manure cause illness in both hosts (e.g., Salmonella) while other zoonotic pathogens, like Escherichia coli O157:H7, (enterohemorrhagic E. coli (EHEC)) cause illness only in humans. As a general rule, the gastrointestinal viruses found in dairy manure are not zoonotic. While there are exceptions (e.g., rare reports of bovine rotavirus infecting children), for the most part the viruses in dairy manure are not a human health concern. The primary concerns are the zoonotic bacteria and protozoa in dairy manure.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Considerations for the use of manure irrigation practices","language":"English","publisher":"Wisconsin Manure Irrigation Workgroup","collaboration":"Wisconsin Department of Natural Resources","usgsCitation":"Borchardt, M.A., and Burch, T.R., 2016, Airborne pathogens from dairy manure aerial irrigation and the human health risk, C-1-C-24.","productDescription":"C-1-C-24","ipdsId":"IP-069593","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":332310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":330596,"type":{"id":15,"text":"Index Page"},"url":"https://fyi.uwex.edu/manureirrigation/files/2016/04/Manure-Irrigation-Workgroup-Report-2016.pdf"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58590009e4b03639a6025e2d","contributors":{"authors":[{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":151033,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":652579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burch, Tucker R tburch@usgs.gov","contributorId":5689,"corporation":false,"usgs":true,"family":"Burch","given":"Tucker","email":"tburch@usgs.gov","middleInitial":"R","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652578,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70182738,"text":"70182738 - 2016 - Seeded amplification of chronic wasting disease prions in nasal brushings and recto-anal mucosal associated lymphoid tissues from elk by real time quaking-induced conversion","interactions":[],"lastModifiedDate":"2017-02-28T10:52:14","indexId":"70182738","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2218,"text":"Journal of Clinical Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Seeded amplification of chronic wasting disease prions in nasal brushings and recto-anal mucosal associated lymphoid tissues from elk by real time quaking-induced conversion","docAbstract":"<p><span>Chronic wasting disease (CWD), a transmissible spongiform encephalopathy of cervids, was first documented nearly 50 years ago in Colorado and Wyoming and has since been detected across North America and the Republic of Korea. The expansion of this disease makes the development of sensitive diagnostic assays and antemortem sampling techniques crucial for the mitigation of its spread; this is especially true in cases of relocation/reintroduction or prevalence studies of large or protected herds, where depopulation may be contraindicated. This study evaluated the sensitivity of the real-time quaking-induced conversion (RT-QuIC) assay of recto-anal mucosa-associated lymphoid tissue (RAMALT) biopsy specimens and nasal brushings collected antemortem. These findings were compared to results of immunohistochemistry (IHC) analysis of ante- and postmortem samples. RAMALT samples were collected from populations of farmed and free-ranging Rocky Mountain elk (</span><span id=\"named-content-1\" class=\"named-content genus-species\">Cervus elaphus nelsoni</span><span>; </span><i>n</i><span> = 323), and nasal brush samples were collected from a subpopulation of these animals (</span><i>n</i><span> = 205). We hypothesized that the sensitivity of RT-QuIC would be comparable to that of IHC analysis of RAMALT and would correspond to that of IHC analysis of postmortem tissues. We found RAMALT sensitivity (77.3%) to be highly correlative between RT-QuIC and IHC analysis. Sensitivity was lower when testing nasal brushings (34%), though both RAMALT and nasal brush test sensitivities were dependent on both the </span><i>PRNP</i><span> genotype and disease progression determined by the obex score. These data suggest that RT-QuIC, like IHC analysis, is a relatively sensitive assay for detection of CWD prions in RAMALT biopsy specimens and, with further investigation, has potential for large-scale and rapid automated testing of antemortem samples for CWD.</span></p>","language":"English","publisher":"American Society of Microbiology ","doi":"10.1128/JCM.02700-15","usgsCitation":"Haley, N.J., Siepker, C., Hoon-Hanks, L.L., Mitchell, G., Walter, W.D., Manca, M., Monello, R.J., Powers, J.G., Wild, M., Hoover, E.A., Caughey, B., and Richt, J.A., 2016, Seeded amplification of chronic wasting disease prions in nasal brushings and recto-anal mucosal associated lymphoid tissues from elk by real time quaking-induced conversion: Journal of Clinical Microbiology, v. 54, no. 4, p. 1117-1126, https://doi.org/10.1128/JCM.02700-15.","productDescription":"10 p. ","startPage":"1117","endPage":"1126","ipdsId":"IP-068664","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":471102,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1128/jcm.02700-15","text":"External Repository"},{"id":336318,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b69a41e4b01ccd54ff3f9a","contributors":{"editors":[{"text":"Fenwick, B.W.","contributorId":184145,"corporation":false,"usgs":false,"family":"Fenwick","given":"B.W.","email":"","affiliations":[],"preferred":false,"id":673643,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Haley, Nicholas J.","contributorId":171814,"corporation":false,"usgs":false,"family":"Haley","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":673632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Siepker, Chris","contributorId":171815,"corporation":false,"usgs":true,"family":"Siepker","given":"Chris","email":"","affiliations":[],"preferred":false,"id":673633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoon-Hanks, Laura L.","contributorId":184140,"corporation":false,"usgs":false,"family":"Hoon-Hanks","given":"Laura","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":673634,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mitchell, Gordon","contributorId":184141,"corporation":false,"usgs":false,"family":"Mitchell","given":"Gordon","email":"","affiliations":[],"preferred":false,"id":673635,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walter, W. David 0000-0003-3068-1073 wwalter@usgs.gov","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":5083,"corporation":false,"usgs":true,"family":"Walter","given":"W.","email":"wwalter@usgs.gov","middleInitial":"David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":673511,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Manca, Matteo","contributorId":184142,"corporation":false,"usgs":false,"family":"Manca","given":"Matteo","email":"","affiliations":[],"preferred":false,"id":673636,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Monello, Ryan J.","contributorId":184143,"corporation":false,"usgs":false,"family":"Monello","given":"Ryan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":673637,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Powers, Jenny G.","contributorId":10710,"corporation":false,"usgs":true,"family":"Powers","given":"Jenny","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":673638,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wild, Margaret A.","contributorId":26976,"corporation":false,"usgs":true,"family":"Wild","given":"Margaret A.","affiliations":[],"preferred":false,"id":673639,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hoover, Edward A.","contributorId":52316,"corporation":false,"usgs":true,"family":"Hoover","given":"Edward","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":673640,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Caughey, Byron","contributorId":184144,"corporation":false,"usgs":false,"family":"Caughey","given":"Byron","email":"","affiliations":[],"preferred":false,"id":673641,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Richt, Jurgen a.","contributorId":171819,"corporation":false,"usgs":false,"family":"Richt","given":"Jurgen","email":"","middleInitial":"a.","affiliations":[],"preferred":false,"id":673642,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70193152,"text":"70193152 - 2016 - Occupancy dynamics in human-modified landscapes in a tropical island: implications for conservation design","interactions":[],"lastModifiedDate":"2017-11-21T12:36:29","indexId":"70193152","displayToPublicDate":"2016-04-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Occupancy dynamics in human-modified landscapes in a tropical island: implications for conservation design","docAbstract":"<p><strong>Aim</strong></p><p>Avian communities in human-modified landscapes exhibit varying patterns of local colonization and extinction rates, determinants of species occurrence. Our objective was to model these processes to identify habitat features that might enable movements and account for occupancy patterns in habitat matrices between the Guanica and Susua forest reserves. This knowledge is central to conservation design, particularly in ever changing insular landscapes.</p><p><strong>Location</strong></p><p>South-western Puerto Rico.</p><p><strong>Methods</strong></p><p>We used a multiseason occupancy modelling approach to quantify seasonal estimates of occupancy, and colonization and extinction rates of seven resident avian species surveyed over five seasons from January 2010 to June 2011. We modelled parameters by matrix type, expressions of survey station isolation, quality, amount of forest cover and context (embedded in forest patch).</p><p><strong>Results</strong></p><p>Seasonal occupancy remained stable throughout the study for all species, consistent with seasonally constant colonization and extinction probabilities. Occupancy was mediated by matrix type, higher in reserves and forested matrix than in the urban and agricultural matrices. This pattern is in accord with the forest affinities of all but an open-habitat specialist. Puerto Rican Spindalis (<i>Spindalis portoricensis</i>) exhibited high occupancy in the urban matrix, highlighting the adaptability of some insular species to novel environments. Highest colonization rates occurred when perching structures were at ≤&nbsp;500&nbsp;m. Survey stations with at least three fruiting tree species and 61% forest cover exhibited lowest seasonal extinction rates.</p><p><strong>Main conclusions</strong></p><p>Our work identified habitat features that influenced seasonal probabilities of colonization and extinction in a human-modified landscape. Conservation design decisions are better informed with increased knowledge about interpatch distances to improve matrix permeability, and habitat features that increase persistence or continued use of habitat stepping stones. A focus on dynamic processes is valuable because conservation actions directly influence colonization and extinction rates, and thus, a quantitative means to gauge their benefit.</p>","language":"English","publisher":"Wiley","doi":"10.1111/ddi.12415","usgsCitation":"Irizarry, J.I., Collazo, J., and Dinsmore, S., 2016, Occupancy dynamics in human-modified landscapes in a tropical island: implications for conservation design: Diversity and Distributions, v. 22, no. 4, p. 410-421, https://doi.org/10.1111/ddi.12415.","productDescription":"12 p.","startPage":"410","endPage":"421","ipdsId":"IP-065011","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488016,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12415","text":"Publisher Index Page"},{"id":349195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -66.99943542480469,\n              17.960444861640777\n            ],\n            [\n              -66.80477142333984,\n              17.960444861640777\n            ],\n            [\n              -66.80477142333984,\n              18.10865552119356\n            ],\n            [\n              -66.99943542480469,\n              18.10865552119356\n            ],\n            [\n              -66.99943542480469,\n              17.960444861640777\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"22","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-04","publicationStatus":"PW","scienceBaseUri":"5a60fd5ae4b06e28e9c24b9b","contributors":{"authors":[{"text":"Irizarry, Julissa I.","contributorId":141056,"corporation":false,"usgs":false,"family":"Irizarry","given":"Julissa","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":723028,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collazo, Jaime A. 0000-0002-1816-7744 jaime_collazo@usgs.gov","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":173448,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime A.","email":"jaime_collazo@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":718100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dinsmore, Stephen J.","contributorId":61718,"corporation":false,"usgs":true,"family":"Dinsmore","given":"Stephen J.","affiliations":[],"preferred":false,"id":723029,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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