{"pageNumber":"1339","pageRowStart":"33450","pageSize":"25","recordCount":165359,"records":[{"id":70099286,"text":"70099286 - 2014 - New permafrost is forming around shrinking Arctic lakes, but will it last?","interactions":[],"lastModifiedDate":"2018-01-12T17:20:40","indexId":"70099286","displayToPublicDate":"2014-03-24T11:33:00","publicationYear":"2014","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":"New permafrost is forming around shrinking Arctic lakes, but will it last?","docAbstract":"Widespread lake shrinkage in cold regions has been linked to climate warming and permafrost thaw. Permafrost aggradation, however, has been observed within the margins of recently receded lakes, in seeming contradiction of climate warming. Here permafrost aggradation dynamics are examined at Twelvemile Lake, a retreating lake in interior Alaska. Observations reveal patches of recently formed permafrost within the dried lake margin, colocated with discrete bands of willow shrub. We test ecological succession, which alters shading, infiltration, and heat transport, as the driver of aggradation using numerical simulation of variably saturated groundwater flow and heat transport with phase change (i.e., freeze-thaw). Simulations support permafrost development under current climatic conditions, but only when net effects of vegetation on soil conditions are incorporated, thus pointing to the role of ecological succession. Furthermore, model results indicate that permafrost aggradation is transitory with further climate warming, as new permafrost thaws within seven decades.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014GL059251","usgsCitation":"Briggs, M., Walvoord, M.A., McKenzie, J.M., Voss, C.I., Day-Lewis, F.D., and Lane, J.W., 2014, New permafrost is forming around shrinking Arctic lakes, but will it last?: Geophysical Research Letters, v. 41, no. 5, p. 1585-1592, https://doi.org/10.1002/2014GL059251.","productDescription":"8 p.","startPage":"1585","endPage":"1592","ipdsId":"IP-053609","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"links":[{"id":473098,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014gl059251","text":"Publisher Index Page"},{"id":284385,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2014GL059251"},{"id":284387,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Twelvemile Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -145.570227,66.434705 ], [ -145.570227,66.4607 ], [ -145.501777,66.4607 ], [ -145.501777,66.434705 ], [ -145.570227,66.434705 ] ] ] } } ] }","volume":"41","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-03-07","publicationStatus":"PW","scienceBaseUri":"53517057e4b05569d805a341","contributors":{"authors":[{"text":"Briggs, Martin A.","contributorId":10321,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[],"preferred":false,"id":491951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walvoord, Michelle Ann 0000-0003-4269-8366 walvoord@usgs.gov","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":147211,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"walvoord@usgs.gov","middleInitial":"Ann","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":491953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKenzie, Jeffrey M.","contributorId":64999,"corporation":false,"usgs":true,"family":"McKenzie","given":"Jeffrey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":491952,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":491948,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":491949,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lane, John W. Jr. jwlane@usgs.gov","contributorId":1738,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":491950,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70099205,"text":"70099205 - 2014 - Triggering of repeating earthquakes in central California","interactions":[],"lastModifiedDate":"2014-04-07T15:47:08","indexId":"70099205","displayToPublicDate":"2014-03-24T11:22:00","publicationYear":"2014","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":"Triggering of repeating earthquakes in central California","docAbstract":"Dynamic stresses carried by transient seismic waves have been found capable of triggering earthquakes instantly in various tectonic settings. Delayed triggering may be even more common, but the mechanisms are not well understood. Catalogs of repeating earthquakes, earthquakes that recur repeatedly at the same location, provide ideal data sets to test the effects of transient dynamic perturbations on the timing of earthquake occurrence. Here we employ a catalog of 165 families containing ~2500 total repeating earthquakes to test whether dynamic perturbations from local, regional, and teleseismic earthquakes change recurrence intervals. The distance to the earthquake generating the perturbing waves is a proxy for the relative potential contributions of static and dynamic deformations, because static deformations decay more rapidly with distance. Clear changes followed the nearby 2004 Mw6 Parkfield earthquake, so we study only repeaters prior to its origin time. We apply a Monte Carlo approach to compare the observed number of shortened recurrence intervals following dynamic perturbations with the distribution of this number estimated for randomized perturbation times. We examine the comparison for a series of dynamic stress peak amplitude and distance thresholds. The results suggest a weak correlation between dynamic perturbations in excess of ~20 kPa and shortened recurrence intervals, for both nearby and remote perturbations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophyiscal Union","doi":"10.1002/2013GL059051","usgsCitation":"Wu, C., Gomberg, J., Ben-Naim, E., and Johnson, P., 2014, Triggering of repeating earthquakes in central California: Geophysical Research Letters, v. 41, no. 5, p. 1499-1505, https://doi.org/10.1002/2013GL059051.","productDescription":"7 p.","startPage":"1499","endPage":"1505","ipdsId":"IP-053448","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":284384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284349,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013GL059051"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.899391,35.69885 ], [ -120.899391,36.301569 ], [ -120.29892,36.301569 ], [ -120.29892,35.69885 ], [ -120.899391,35.69885 ] ] ] } } ] }","volume":"41","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-03-10","publicationStatus":"PW","scienceBaseUri":"5351706ce4b05569d805a422","contributors":{"authors":[{"text":"Wu, Chunquan","contributorId":46871,"corporation":false,"usgs":true,"family":"Wu","given":"Chunquan","email":"","affiliations":[],"preferred":false,"id":491861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gomberg, Joan","contributorId":77919,"corporation":false,"usgs":true,"family":"Gomberg","given":"Joan","affiliations":[],"preferred":false,"id":491863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ben-Naim, Eli","contributorId":47284,"corporation":false,"usgs":true,"family":"Ben-Naim","given":"Eli","email":"","affiliations":[],"preferred":false,"id":491862,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Paul","contributorId":25453,"corporation":false,"usgs":true,"family":"Johnson","given":"Paul","affiliations":[],"preferred":false,"id":491860,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70111230,"text":"70111230 - 2014 - Status and trends of pelagic prey fish in Lake Huron, 2013","interactions":[],"lastModifiedDate":"2022-12-26T14:21:24.977833","indexId":"70111230","displayToPublicDate":"2014-03-24T11:03:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Status and trends of pelagic prey fish in Lake Huron, 2013","docAbstract":"<p>The USGS Great Lakes Science Center (GLSC) conducted acoustic and midwater trawl surveys \nof Lake Huron during 1997 and annually during 2004-2013. The 2013 survey was conducted \nduring September and October and included transects in Lake Huron’s main basin, Georgian \nBay, and North Channel. Pelagic fish density was 1,033 fish/ha in 2013 and increased 62% over \nthe 2012 estimate. Total biomass in 2013 (6.07 kg/ha) was similar to the 2012 estimate (6.97 \nkg/ha). Mean numeric density of alewife <i>Alosa pseudoharengus</i> was substantially greater in \n2013 than in 2012, but the 2013 estimate has low precision. Age-0 rainbow smelt <i>Osmerus \nmordax</i> abundance increased from 2012, whereas age-1+ rainbow smelt decreased. Age-0 \nbloater <i>Coregonus hoyi</i> abundance increased over 2012 estimates. Density and biomass of large \nbloater in 2013 was similar to 2012 levels. Emerald shiner <i>Notropis atherinoides</i> density and \nbiomass increased during 2013. Two adult cisco Coregonus artedi were captured in Georgian \nBay. Based on comparable biomass estimates during 2012 and 2013, prey fish availability during \n2014 will likely be similar to 2013. Lake Huron has pelagic fish biomass similar to that observed \nin recent lake-wide acoustic surveys of Lake Michigan and Lake Superior, but species \ncomposition differs in the three lakes. There is an increasing gradient of diversity and native \nspecies occurrence from Lake Michigan to Lake Superior, with Lake Huron being intermediate \nin the prevalence of native fish species like coregonines and emerald shiner.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Compiled Reports to the Great Lakes Fishery Commission of the Annual Bottom Trawl and Acoustics Surveys, 2013","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"O’Brien, T.P., Warner, D.M., Farha, S., Hondorp, D.W., Kaulfersch, L.A., and Watson, N.M., 2014, Status and trends of pelagic prey fish in Lake Huron, 2013, chap. <i>of</i> Compiled Reports to the Great Lakes Fishery Commission of the Annual Bottom Trawl and Acoustics Surveys, 2013, p. 74-87.","productDescription":"14 p.","startPage":"74","endPage":"87","numberOfPages":"14","ipdsId":"IP-054954","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":289466,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":410997,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org/","linkFileType":{"id":5,"text":"html"}}],"country":"Canada, United States","otherGeospatial":"Lake Huron","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -84.76729727332395,\n              46.4102423312184\n            ],\n            [\n              -84.76729727332395,\n              42.91928823090427\n            ],\n            [\n              -79.75388845448482,\n              42.91928823090427\n            ],\n            [\n              -79.75388845448482,\n              46.4102423312184\n            ],\n            [\n              -84.76729727332395,\n              46.4102423312184\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bbc184e4b084059e8bfefe","contributors":{"authors":[{"text":"O’Brien, Timothy P. 0000-0003-4502-5204 tiobrien@usgs.gov","orcid":"https://orcid.org/0000-0003-4502-5204","contributorId":2662,"corporation":false,"usgs":true,"family":"O’Brien","given":"Timothy","email":"tiobrien@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":494260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, David M. 0000-0003-4939-5368 dmwarner@usgs.gov","orcid":"https://orcid.org/0000-0003-4939-5368","contributorId":2986,"corporation":false,"usgs":true,"family":"Warner","given":"David","email":"dmwarner@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":494261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farha, Steve A. 0000-0001-9953-6996 sfarha@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-6996","contributorId":5170,"corporation":false,"usgs":true,"family":"Farha","given":"Steve A.","email":"sfarha@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":494262,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hondorp, Darryl W. 0000-0002-5182-1963 dhondorp@usgs.gov","orcid":"https://orcid.org/0000-0002-5182-1963","contributorId":5376,"corporation":false,"usgs":true,"family":"Hondorp","given":"Darryl","email":"dhondorp@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":494263,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kaulfersch, Lisa A. lkaulfersch@usgs.gov","contributorId":5852,"corporation":false,"usgs":true,"family":"Kaulfersch","given":"Lisa","email":"lkaulfersch@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":494264,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Watson, Nicole M. 0000-0002-9424-7615 nwatson@usgs.gov","orcid":"https://orcid.org/0000-0002-9424-7615","contributorId":5853,"corporation":false,"usgs":true,"family":"Watson","given":"Nicole","email":"nwatson@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":494265,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70099756,"text":"70099756 - 2014 - The chemistry of hydrothermal magnetite: a review","interactions":[],"lastModifiedDate":"2014-03-26T09:28:56","indexId":"70099756","displayToPublicDate":"2014-03-24T09:22:45","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"The chemistry of hydrothermal magnetite: a review","docAbstract":"Magnetite (Fe<sub>3</sub>O<sub>4</sub>) is a well-recognized petrogenetic indicator and is a common accessory mineral in many ore deposits and their host rocks. Recent years have seen an increased interest in the use of hydrothermal magnetite for provenance studies and as a pathfinder for mineral exploration. A number of studies have investigated how specific formation conditions are reflected in the composition of the respective magnetite. Two fundamental questions underlie these efforts — (i) How can the composition of igneous and, more importantly, hydrothermal magnetite be used to discriminate mineralized areas from barren host rocks, and (ii) how can this assist exploration geologists to target ore deposits at greater and greater distances from the main mineralization? Similar to igneous magnetite, the most important factors that govern compositional variations in hydrothermal magnetite are (A) temperature, (B) fluid composition — element availability, (C) oxygen and sulfur fugacity, (D) silicate and sulfide activity, (E) host rock buffering, (F) re-equilibration processes, and (G) intrinsic crystallographic controls such as ionic radius and charge balance. We discuss how specific formation conditions are reflected in the composition of magnetite and review studies that investigate the chemistry of hydrothermal and igneous magnetite from various mineral deposits and their host rocks. Furthermore, we discuss the redox-related alteration of magnetite (martitization and mushketovitization) and mineral inclusions in magnetite and their effect on chemical analyses. Our database includes published and previously unpublished magnetite minor and trace element data for magnetite from (1) banded iron formations (BIF) and related high-grade iron ore deposits in Western Australia, India, and Brazil, (2) Ag–Pb–Zn veins of the Coeur d'Alene district, United States, (3) porphyry Cu–(Au)–(Mo) deposits and associated (4) calcic and magnesian skarn deposits in the southwestern United States and Indonesia, and (5) plutonic igneous rocks from the Henderson Climax-type Mo deposit, United States, and the un-mineralized Inner Zone Batholith granodiorite, Japan. These five settings represent a diverse suite of geological settings and cover a wide range of formation conditions.\n\nThe main discriminator elements for magnetite are Mg, Al, Ti, V, Cr, Mn, Co, Ni, Zn, and Ga. These elements are commonly present at detectable levels (10 to > 1000 ppm) and display systematic variations. We propose a combination of Ni/(Cr + Mn) vs. Ti + V, Al + Mn vs. Ti + V, Ti/V and Sn/Ga discriminant plots and upper threshold concentrations to discriminate hydrothermal from igneous magnetite and to fingerprint different hydrothermal ore deposits. The overall trends in upper threshold values for the different settings can be summarized as follows: (I) BIF (hydrothermal) — low Al, Ti, V, Cr, Mn, Co, Ni, Zn, Ga and Sn; (II) Ag–Pb–Zn veins (hydrothermal) — high Mn and low Ga and Sn; (III) Mg-skarn (hydrothermal) — high Mg and Mn and low Al, Ti, Cr, Co, Ni and Ga; (IV) skarn (hydrothermal) — high Mg, Al, Cr, Mn, Co, Ni and Zn and low Sn; (V) porphyry (hydrothermal) — high Ti and V and low Sn; (VI) porphyry (igneous) — high Ti, V and Cr and low Mg; and (VII) Climax-Mo (igneous) — high Al, Ga and Sn and low Mg and Cr.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ore Geology Reviews","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2013.12.013","usgsCitation":"Nadoll, P., Angerer, T., Mauk, J.L., French, D., and Walshe, J., 2014, The chemistry of hydrothermal magnetite: a review: Ore Geology Reviews, v. 61, p. 1-32, https://doi.org/10.1016/j.oregeorev.2013.12.013.","productDescription":"32 p.","startPage":"1","endPage":"32","ipdsId":"IP-045680","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":284926,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284925,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.oregeorev.2013.12.013"}],"volume":"61","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517068e4b05569d805a3f7","contributors":{"authors":[{"text":"Nadoll, Patrick","contributorId":106407,"corporation":false,"usgs":true,"family":"Nadoll","given":"Patrick","affiliations":[],"preferred":false,"id":492014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Angerer, Thomas","contributorId":100737,"corporation":false,"usgs":true,"family":"Angerer","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":492013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mauk, Jeffrey L. 0000-0002-6244-2774 jmauk@usgs.gov","orcid":"https://orcid.org/0000-0002-6244-2774","contributorId":4101,"corporation":false,"usgs":true,"family":"Mauk","given":"Jeffrey","email":"jmauk@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":492010,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"French, David","contributorId":92162,"corporation":false,"usgs":true,"family":"French","given":"David","email":"","affiliations":[],"preferred":false,"id":492012,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walshe, John","contributorId":29299,"corporation":false,"usgs":true,"family":"Walshe","given":"John","email":"","affiliations":[],"preferred":false,"id":492011,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70095134,"text":"ofr20131297 - 2014 - Analysis of pharmaceutical and other organic wastewater compounds in filtered and unfiltered water samples by gas chromatography/mass spectrometry","interactions":[],"lastModifiedDate":"2014-03-25T11:02:20","indexId":"ofr20131297","displayToPublicDate":"2014-03-24T07:53:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1297","title":"Analysis of pharmaceutical and other organic wastewater compounds in filtered and unfiltered water samples by gas chromatography/mass spectrometry","docAbstract":"<p>Research on the effects of exposure of stream biota to complex mixtures of pharmaceuticals and other organic compounds associated with wastewater requires the development of additional analytical capabilities for these compounds in water samples. Two gas chromatography/mass spectrometry (GC/MS) analytical methods used at the U.S. Geological Survey National Water Quality Laboratory (NWQL) to analyze organic compounds associated with wastewater were adapted to include additional pharmaceutical and other organic compounds beginning in 2009. This report includes a description of method performance for 42 additional compounds for the filtered-water method (hereafter referred to as the filtered method) and 46 additional compounds for the unfiltered-water method (hereafter referred to as the unfiltered method). The method performance for the filtered method described in this report has been published for seven of these compounds; however, the addition of several other compounds to the filtered method and the addition of the compounds to the unfiltered method resulted in the need to document method performance for both of the modified methods. Most of these added compounds are pharmaceuticals or pharmaceutical degradates, although two nonpharmaceutical compounds are included in each method. The main pharmaceutical compound classes added to the two modified methods include muscle relaxants, opiates, analgesics, and sedatives. These types of compounds were added to the original filtered and unfiltered methods largely in response to the tentative identification of a wide range of pharmaceutical and other organic compounds in samples collected from wastewater-treatment plants.</p>\n<br/>\n<p>Filtered water samples are extracted by vacuum through disposable solid-phase cartridges that contain modified polystyrene-divinylbenzene resin. Unfiltered samples are extracted by using continuous liquid-liquid extraction with dichloromethane. The compounds of interest for filtered and unfiltered sample types were determined by use of the capillary-column gas chromatography/mass spectrometry.</p>\n<br/>\n<p>The performance of each method was assessed by using data on recoveries of compounds in fortified surface-water, wastewater, and reagent-water samples. These experiments (referred to as spike experiments) consist of fortifying (or spiking) samples with known amounts of target analytes. Surface-water-spike experiments were performed by using samples obtained from a stream in Colorado (unfiltered method) and a stream in New York (filtered method). Wastewater spike experiments for both the filtered and unfiltered methods were performed by using a treated wastewater obtained from a single wastewater treatment plant in New York. Surface water and wastewater spike experiments were fortified at both low and high concentrations and termed low- and high-level spikes, respectively. Reagent water spikes were assessed in three ways: (1) set spikes, (2) a low-concentration fortification experiment, and (3) a high-concentration fortification experiment. Set spike samples have been determined since 2009, and consist of analysis of fortified reagent water for target compounds included for each group of 10 to18 environmental samples analyzed at the NWQL. The low-concentration and high-concentration reagent spike experiments, by contrast, represent a one-time assessment of method performance. For each spike experiment, mean recoveries ranging from 60 to 130 percent indicate low bias, and relative standard deviations (RSDs) less than (<) 30 percent indicate low variability.</p>\n<br/>\n<p>Of the compounds included in the filtered method, 21 had mean recoveries ranging from 63 to 129 percent for the low-level and high-level surface-water spikes, and had low (<15 percent) RSDs for these spikes. The remaining 21 compounds generally had high bias for the low-level or the high-level spike experiments for surface water [mean recoveries <58 percent or greater than (>)132 percent]. For wastewater spikes, 24 of the compounds included in the filtered method had recoveries ranging from 61 to 130 percent for the low-level and high-level spikes. RSDs were <29 percent for both of these spike experiments for the 24 compounds. The remaining 18 compounds in the filtered method generally had high recoveries (>130 percent) or variable recoveries (RSDs >30 percent) for low-level wastewater spikes, or low recoveries (<60 percent) for high-level wastewater spikes. Of the compounds included in the filtered method, 34 had mean set-spike recoveries between 61 and 126 percent, and RSDs <30 percent.</p>\n<br/>\n<p>Of the compounds included in the unfiltered method, 17 had mean spike recoveries ranging from 74 to 129 percent and RSDs ranging from 5 to 25 percent for low-level and high-level surface water spikes. The remaining compounds had poor mean recoveries (<60 or >130 percent), or high RSDs (>29 percent) for these spikes. For wastewater, 14 of the compounds included in the unfiltered method had mean recoveries ranging from 62 to 127 percent and RSDs <25 percent for the low-level and high-level spikes. Most of the remaining compounds had high mean recoveries for wastewater (>130 percent), or low mean recoveries (<20 percent) or high RSDs (>33 percent) for the low-level wastewater spikes. Of the compounds found in wastewater, 24 had mean set spike recoveries ranging from 64 to 104 percent and RSDs <30 percent.</p>\n<br/>\n<p>Separate method detection limits (MDLs) were computed for surface water and wastewater for both the filtered and unfiltered methods. Filtered method MDLs ranged from 0.007 to 0.14 microgram per liter (μg/L) for the surface water matrix and from 0.004 to 0.62 μg/L for the wastewater matrix. Unfiltered method MDLs ranged from 0.014 to 0.33 μg/L for the surface water matrix and from 0.008 to 0.36 μg/L for the wastewater matrix.</p>","language":"English","publisher":"U.S Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131297","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Zaugg, S.D., Phillips, P., and Smith, S.G., 2014, Analysis of pharmaceutical and other organic wastewater compounds in filtered and unfiltered water samples by gas chromatography/mass spectrometry: U.S. Geological Survey Open-File Report 2013-1297, Report: v, 24 p.; Appendix, https://doi.org/10.3133/ofr20131297.","productDescription":"Report: v, 24 p.; Appendix","onlineOnly":"Y","ipdsId":"IP-040896","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":284375,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131297.jpg"},{"id":284374,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1297/tables/ofr2013-1297_tables1-appendix1.xlsx"},{"id":284372,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1297/"},{"id":284373,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1297/pdf/ofr2013-1297.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4ce0e4b0b290850f13b4","contributors":{"authors":[{"text":"Zaugg, Steven D. sdzaugg@usgs.gov","contributorId":768,"corporation":false,"usgs":true,"family":"Zaugg","given":"Steven","email":"sdzaugg@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":491079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Patrick J. pjphilli@usgs.gov","contributorId":856,"corporation":false,"usgs":true,"family":"Phillips","given":"Patrick J.","email":"pjphilli@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":491080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Steven G. sgsmith@usgs.gov","contributorId":1560,"corporation":false,"usgs":true,"family":"Smith","given":"Steven","email":"sgsmith@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":491081,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70093778,"text":"fs20143003 - 2014 - Continuous real-time water information: an important Kansas resource","interactions":[],"lastModifiedDate":"2014-03-25T11:08:37","indexId":"fs20143003","displayToPublicDate":"2014-03-24T07:37:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3003","title":"Continuous real-time water information: an important Kansas resource","docAbstract":"Continuous real-time information on streams, lakes, and groundwater is an important Kansas resource that can safeguard lives and property, and ensure adequate water resources for a healthy State economy. The U.S. Geological Survey (USGS) operates approximately 230 water-monitoring stations at Kansas streams, lakes, and groundwater sites. Most of these stations are funded cooperatively in partnerships with local, tribal, State, or other Federal agencies. The USGS real-time water-monitoring network provides long-term, accurate, and objective information that meets the needs of many customers. Whether the customer is a water-management or water-quality agency, an emergency planner, a power or navigational official, a farmer, a canoeist, or a fisherman, all can benefit from the continuous real-time water information gathered by the USGS.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143003","usgsCitation":"Loving, B.L., Putnam, J.E., and Turk, D.M., 2014, Continuous real-time water information: an important Kansas resource: U.S. Geological Survey Fact Sheet 2014-3003, 4 p., https://doi.org/10.3133/fs20143003.","productDescription":"4 p.","additionalOnlineFiles":"Y","ipdsId":"IP-045416","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":284367,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143003.jpg"},{"id":284365,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3003/"},{"id":284366,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3003/pdf/fs2014-3003.pdf"}],"country":"United States","state":"Kansas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -102.0518,36.993 ], [ -102.0518,40.0045 ], [ -94.5884,40.0045 ], [ -94.5884,36.993 ], [ -102.0518,36.993 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd52b4e4b0b290850f4b1f","contributors":{"authors":[{"text":"Loving, Brian L. bloving@usgs.gov","contributorId":4565,"corporation":false,"usgs":true,"family":"Loving","given":"Brian","email":"bloving@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":490218,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Putnam, James E. jputnam@usgs.gov","contributorId":2021,"corporation":false,"usgs":true,"family":"Putnam","given":"James","email":"jputnam@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":490217,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turk, Donita M. dmturk@usgs.gov","contributorId":281,"corporation":false,"usgs":true,"family":"Turk","given":"Donita","email":"dmturk@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":490216,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70094915,"text":"fs20143013 - 2014 - The 3D Elevation Program: summary for Maine","interactions":[],"lastModifiedDate":"2016-08-17T15:47:53","indexId":"fs20143013","displayToPublicDate":"2014-03-24T07:28:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3013","title":"The 3D Elevation Program: summary for Maine","docAbstract":"<p>Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Maine, elevation data are critical for natural resources conservation, flood risk management, forest resources management, agriculture and precision farming, coastal zone management, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.</p>\n<p>The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 ifsar data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey (USGS), the Office of Management and Budget Circular A&ndash;16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation&rsquo;s natural and constructed features.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143013","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: summary for Maine: U.S. Geological Survey Fact Sheet 2014-3013, 2 p., https://doi.org/10.3133/fs20143013.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-052810","costCenters":[{"id":423,"text":"National Geospatial 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Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":490945,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70094636,"text":"ofr20141034 - 2014 - Water-quality, bed-sediment, and biological data (October 2011 through September 2012) and statistical summaries of data for streams in the Clark Fork Basin, Montana","interactions":[],"lastModifiedDate":"2014-03-24T07:25:07","indexId":"ofr20141034","displayToPublicDate":"2014-03-24T07:16:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1034","title":"Water-quality, bed-sediment, and biological data (October 2011 through September 2012) and statistical summaries of data for streams in the Clark Fork Basin, Montana","docAbstract":"<p>Water, bed sediment, and biota were sampled in streams from Butte to near Missoula, Montana, as part of a monitoring program in the upper Clark Fork Basin of western Montana. The sampling program was conducted by the U.S. Geological Survey in cooperation with the U.S. Environmental Protection Agency to characterize aquatic resources in the Clark Fork Basin, with emphasis on trace elements associated with historic mining and smelting activities. Sampling sites were located on the Clark Fork and selected tributaries. Water samples were collected periodically at 20 sites from October 2011 through September 2012.  Bed-sediment and biota samples were collected once at 13 sites during August 2012.</p>\n<br/>\n<p>This report presents the analytical results and quality-assurance data for water-quality, bed-sediment, and biota samples collected at sites from October 2011 through September 2012.  Water-quality data include concentrations of selected major ions, trace elements, and suspended sediment.  Turbidity was analyzed for water samples collected at the four sites where seasonal daily values of turbidity were being determined.  Daily values of suspended-sediment concentration and suspended-sediment discharge were determined for four sites. Bed-sediment data include trace-element concentrations in the fine-grained fraction. Biological data include trace-element concentrations in whole-body tissue of aquatic benthic insects.  Statistical summaries of water-quality, bed-sediment, and biological data for sites in the upper Clark Fork Basin are provided for the period of record since 1985.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141034","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Dodge, K.A., Hornberger, M.I., and Dyke, J., 2014, Water-quality, bed-sediment, and biological data (October 2011 through September 2012) and statistical summaries of data for streams in the Clark Fork Basin, Montana: U.S. Geological Survey Open-File Report 2014-1034, vi, 121 p., https://doi.org/10.3133/ofr20141034.","productDescription":"vi, 121 p.","additionalOnlineFiles":"Y","ipdsId":"IP-049914","costCenters":[{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":284361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141034.jpg"},{"id":284360,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1034/pdf/of2014-1034.pdf"},{"id":284352,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1034/"}],"scale":"1000000","datum":"NAD 27","country":"United States","state":"Montana","otherGeospatial":"Clark Fork Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.0,45.0 ], [ -114.0,47.0 ], [ -112.0,47.0 ], [ -112.0,45.0 ], [ -114.0,45.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7d35e4b0b2908510f3d4","contributors":{"authors":[{"text":"Dodge, Kent A. kdodge@usgs.gov","contributorId":1036,"corporation":false,"usgs":true,"family":"Dodge","given":"Kent","email":"kdodge@usgs.gov","middleInitial":"A.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490679,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hornberger, Michelle I. 0000-0002-7787-3446 mhornber@usgs.gov","orcid":"https://orcid.org/0000-0002-7787-3446","contributorId":1037,"corporation":false,"usgs":true,"family":"Hornberger","given":"Michelle","email":"mhornber@usgs.gov","middleInitial":"I.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":490680,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dyke, Jessica jldyke@usgs.gov","contributorId":1035,"corporation":false,"usgs":true,"family":"Dyke","given":"Jessica","email":"jldyke@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":490678,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70160720,"text":"70160720 - 2014 - Status and trends of the Lake Huron offshore Demersal fish community, 1976-2013","interactions":[],"lastModifiedDate":"2016-09-08T15:05:06","indexId":"70160720","displayToPublicDate":"2014-03-24T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Status and trends of the Lake Huron offshore Demersal fish community, 1976-2013","docAbstract":"The USGS Great Lakes Science Center has conducted trawl surveys to assess annual changes in the offshore demersal fish community of Lake Huron since 1973. Sample sites include five ports in U.S. waters with less frequent sampling near Goderich, Ontario. The 2013 fall bottom trawl survey was carried out between 25 October – 21 November 2013 and included all U.S. ports as well as Goderich, ON. The 2013 main basin prey fish biomass estimate for Lake Huron was 47 kilotonnes, less than half of the estimate in 2012 (97 Kt), and approximately 13 percent of the maximum estimate in the time series. The biomass etimate for YAO alewife in 2013 was lower than in 2012, remained much lower than levels observed before the crash in 2004, and populations were dominated by small fish. Estimated biomass of rainbow smelt also decreased and was the second lowest observed in the time series. Estimated YAO bloater biomass in Lake Huron was also reduced compared to 2012. YOY alewife, rainbow smelt, and bloater abundance and biomass increased over 2012. Biomass estimates for deepwater and slimy sculpins, trout-perch, ninespine stickleback, and round goby in 2013 were lower than in 2012 and remained low compared to historic estimates. Wild juvenile lake trout were captured again in 2013, suggesting that natural reproduction by lake trout continues to occur.","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Riley, S.C., Roseman, E., Chriscinske, M.A., Tucker, T.R., Ross, J.E., Dieter, P.M., Watson, N.M., and Woelmer, W., 2014, Status and trends of the Lake Huron offshore Demersal fish community, 1976-2013, 13 p. .","productDescription":"13 p. ","startPage":"88","endPage":"100","ipdsId":"IP-054974","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":328411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312996,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org/lakecom/common_docs/Compiled%20Reports%20from%20USGS%202014.pdf"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d28bafe4b0571647d0f948","contributors":{"authors":[{"text":"Riley, Stephen C. 0000-0002-8968-8416 sriley@usgs.gov","orcid":"https://orcid.org/0000-0002-8968-8416","contributorId":2661,"corporation":false,"usgs":true,"family":"Riley","given":"Stephen","email":"sriley@usgs.gov","middleInitial":"C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":583678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roseman, Edward F. eroseman@usgs.gov","contributorId":147266,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","email":"eroseman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":583679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chriscinske, Margret Ann 0000-0002-9930-0630 mchriscinske@usgs.gov","orcid":"https://orcid.org/0000-0002-9930-0630","contributorId":4416,"corporation":false,"usgs":true,"family":"Chriscinske","given":"Margret","email":"mchriscinske@usgs.gov","middleInitial":"Ann","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tucker, Taaja R. 0000-0003-1534-4677 trtucker@usgs.gov","orcid":"https://orcid.org/0000-0003-1534-4677","contributorId":5172,"corporation":false,"usgs":true,"family":"Tucker","given":"Taaja","email":"trtucker@usgs.gov","middleInitial":"R.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583681,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ross, Jason E. jeross@usgs.gov","contributorId":5748,"corporation":false,"usgs":true,"family":"Ross","given":"Jason","email":"jeross@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583682,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dieter, Patricia M. 0000-0003-1686-2679 parmenio@usgs.gov","orcid":"https://orcid.org/0000-0003-1686-2679","contributorId":5289,"corporation":false,"usgs":true,"family":"Dieter","given":"Patricia","email":"parmenio@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583683,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Watson, Nicole M. 0000-0002-9424-7615 nwatson@usgs.gov","orcid":"https://orcid.org/0000-0002-9424-7615","contributorId":5853,"corporation":false,"usgs":true,"family":"Watson","given":"Nicole","email":"nwatson@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583684,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Woelmer, Whitney 0000-0001-5147-3877 wwoelmer@usgs.gov","orcid":"https://orcid.org/0000-0001-5147-3877","contributorId":150485,"corporation":false,"usgs":true,"family":"Woelmer","given":"Whitney","email":"wwoelmer@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583685,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70134498,"text":"70134498 - 2014 - Large natural pH, CO2 and O2 fluctuations in a temperate tidal salt marsh on diel, seasonal, and interannual time scales","interactions":[],"lastModifiedDate":"2020-12-23T16:21:27.378371","indexId":"70134498","displayToPublicDate":"2014-03-21T13:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Large natural pH, CO<sub>2</sub> and O<sub>2</sub> fluctuations in a temperate tidal salt marsh on diel, seasonal, and interannual time scales","title":"Large natural pH, CO2 and O2 fluctuations in a temperate tidal salt marsh on diel, seasonal, and interannual time scales","docAbstract":"<p><span>Coastal marine organisms experience dynamic pH and dissolved oxygen (DO) conditions in their natural habitats, which may impact their susceptibility to long-term anthropogenic changes. Robust characterizations of all temporal scales of natural pH and DO fluctuations in different marine habitats are needed; however, appropriate time series of pH and DO are still scarce. We used multiyear (2008–2012), high-frequency (6&nbsp;min) monitoring data to quantify diel, seasonal, and interannual scales of pH and DO variability in a productive, temperate tidal salt marsh (Flax Pond, Long Island, US). pH</span><sub>NBS</sub><span>&nbsp;and DO showed strong and similar seasonal patterns, with average (minimum) conditions declining from 8.2 (8.1) and 12.5 (11.4) mg&nbsp;l</span><sup>−1</sup><span>&nbsp;at the end of winter to 7.6 (7.2) and 6.3 (2.8) mg&nbsp;l</span><sup>−1</sup><span>&nbsp;in late summer, respectively. Concomitantly, average diel fluctuations increased from 0.22 and 2.2&nbsp;mg&nbsp;l</span><sup>−1</sup><span>&nbsp;(February) to 0.74 and 6.5&nbsp;mg&nbsp;l</span><sup>−1</sup><span>&nbsp;(August), respectively. Diel patterns were modulated by tides and time of day, eliciting the most extreme minima when low tides aligned with the end of the night. Simultaneous in situ pCO</span><sub>2</sub><span>&nbsp;measurements showed striking fluctuations between ∼330 and ∼1,200 (early May), ∼2,200 (mid June), and ∼4,000&nbsp;μatm (end of July) within single tidal cycles. These patterns also indicate that the marsh’s strong net heterotrophy influences its adjacent estuary by ‘outwelling’ acidified and hypoxic water during ebb tides. Our analyses emphasize the coupled and fluctuating nature of pH and DO conditions in productive coastal and estuarine environments, which have yet to be adequately represented by experiments.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s12237-014-9800-y","usgsCitation":"Baumann, H., Wallace, R., Tagliaferri, T.N., and Gobler, C.J., 2014, Large natural pH, CO2 and O2 fluctuations in a temperate tidal salt marsh on diel, seasonal, and interannual time scales: Estuaries and Coasts, v. 38, p. 220-231, https://doi.org/10.1007/s12237-014-9800-y.","productDescription":"12 p.","startPage":"220","endPage":"231","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052918","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":296386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Flax Pond, Long Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.15135002136229,\n              40.95967830900992\n            ],\n            [\n              -73.13070774078369,\n              40.95967830900992\n            ],\n            [\n              -73.13070774078369,\n              40.96816877082855\n            ],\n            [\n              -73.15135002136229,\n              40.96816877082855\n            ],\n            [\n              -73.15135002136229,\n              40.95967830900992\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","noUsgsAuthors":false,"publicationDate":"2014-03-21","publicationStatus":"PW","scienceBaseUri":"547ee2cce4b09357f05f8a5f","contributors":{"authors":[{"text":"Baumann, Hannes","contributorId":127638,"corporation":false,"usgs":false,"family":"Baumann","given":"Hannes","affiliations":[{"id":7093,"text":"Adjunct Assist Prof, School of Marine & Atmospheric Sciences, Stony Brook Univ","active":true,"usgs":false}],"preferred":false,"id":526053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wallace, Ryan","contributorId":127639,"corporation":false,"usgs":false,"family":"Wallace","given":"Ryan","email":"","affiliations":[{"id":7094,"text":"Grad Student, School of Marine & Atmospheric Sciences, Stony Brook Univ","active":true,"usgs":false}],"preferred":false,"id":526054,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tagliaferri, Tristen N. 0000-0001-7408-7899 ttagliaferri@usgs.gov","orcid":"https://orcid.org/0000-0001-7408-7899","contributorId":5138,"corporation":false,"usgs":true,"family":"Tagliaferri","given":"Tristen","email":"ttagliaferri@usgs.gov","middleInitial":"N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":526052,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gobler, Christopher J.","contributorId":127640,"corporation":false,"usgs":false,"family":"Gobler","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":7095,"text":"Professor, School of Marine & Atmospheric Sciences, Stony Brook University","active":true,"usgs":false}],"preferred":false,"id":526055,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70138526,"text":"70138526 - 2014 - Biogenic iron mineralization at Iron Mountain, CA with implications for detection with the Mars Curiosity rover","interactions":[],"lastModifiedDate":"2019-12-10T14:43:58","indexId":"70138526","displayToPublicDate":"2014-03-21T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Biogenic iron mineralization at Iron Mountain, CA with implications for detection with the Mars Curiosity rover","docAbstract":"<p>(Introduction) Microbe-mineral interactions and biosignature preservation in oxidized sulfidic ore bodies (gossans) are prime candidates for astrobiological study. Such oxidized iron systems have been proposed as analogs for some Martian environments. Recent studies identified microbial fossils preserved as mineral-coated filaments. This study documents microbially-mediated mineral biosignatures in hydrous ferric oxide (HFO) and ferric oxyhydroxysulfates (FOHS) in three environments at Iron Mountain, CA. We investigated microbial community preservation via HFO and FOHS precipitation and the formation of filamentous mineral biosignatures. These environments included 1) actively precipitating (1000's yrs), naturally weathered HFO from in situ gossan, and 3) remobilized iron deposits, which contained lithified clastics and zones of HFO precipitate. We used published biogenicity criteria as guidelines to characterize the biogenicity of mineral filaments. These criteria included A) an actively precipitating environment where microbes are known to be coated in minerals, B) presence of extant microbial communities with carbon signatures, C) structures observable as a part of the host rock, and D) biological morphology, including cellular lumina, multiple member population, numerous taxa, variable and 3-D preservation, biological size ranges, uniform diameter, and evidence of flexibility. This study explores the relevance and detection of these biosignatures to possible Martian biosignatures. Similar filamentous biosignatures are resolvable by the Mars Hand Lens Imager (MAHLI) onboard the Mars Science Laboratory (MSL) rover, Curiosity, and may be identifiable as biogenic if present on Mars.</p>","conferenceTitle":"45h Lunar and Planetary Science Conference","conferenceDate":"March 17-21, 2014","conferenceLocation":"Woodlands, Texas","language":"English","publisher":"Lunar and Planetary Institute","collaboration":"U.S. Environmental Protection Agency","usgsCitation":"Williams, A.J., Sumner, D.Y., Alpers, C.N., Campbell, K.M., and Nordstrom, D.K., 2014, Biogenic iron mineralization at Iron Mountain, CA with implications for detection with the Mars Curiosity rover, 45h Lunar and Planetary Science Conference, Woodlands, Texas, March 17-21, 2014, p. 1-2.","productDescription":"2 p.","startPage":"1","endPage":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053593","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":311114,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297363,"type":{"id":15,"text":"Index Page"},"url":"https://www.hou.usra.edu/meetings/lpsc2014/pdf/2589.pdf"}],"country":"United States","state":"California","otherGeospatial":"Iron Mountain Mine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.81890869140625,\n              40.67855510939917\n            ],\n            [\n              -122.33001708984374,\n              40.67855510939917\n            ],\n            [\n              -122.33001708984374,\n              41.12281462734397\n            ],\n            [\n              -122.81890869140625,\n              41.12281462734397\n            ],\n            [\n              -122.81890869140625,\n              40.67855510939917\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5641d1bbe4b0831b7d62e732","contributors":{"authors":[{"text":"Williams, Amy J.","contributorId":138805,"corporation":false,"usgs":false,"family":"Williams","given":"Amy","email":"","middleInitial":"J.","affiliations":[{"id":12532,"text":"Univ. of California, Davis","active":true,"usgs":false}],"preferred":false,"id":538793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sumner, Dawn Y.","contributorId":88997,"corporation":false,"usgs":true,"family":"Sumner","given":"Dawn","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":538794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":538792,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell, Kate M. 0000-0002-8715-5544 kcampbell@usgs.gov","orcid":"https://orcid.org/0000-0002-8715-5544","contributorId":1441,"corporation":false,"usgs":true,"family":"Campbell","given":"Kate","email":"kcampbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":538795,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":538796,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70187384,"text":"70187384 - 2014 - Transmission of chronic wasting disease in Wisconsin white-tailed deer: Implications for disease spread and management","interactions":[],"lastModifiedDate":"2017-05-01T12:47:43","indexId":"70187384","displayToPublicDate":"2014-03-21T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Transmission of chronic wasting disease in Wisconsin white-tailed deer: Implications for disease spread and management","docAbstract":"<p><span>Few studies have evaluated the rate of infection or mode of transmission for wildlife diseases, and the implications of alternative management strategies. We used hunter harvest data from 2002 to 2013 to investigate chronic wasting disease (CWD) infection rate and transmission modes, and address how alternative management approaches affect disease dynamics in a Wisconsin white-tailed deer population. Uncertainty regarding demographic impacts of CWD on cervid populations, human and domestic animal health concerns, and potential economic consequences underscore the need for strategies to control CWD distribution and prevalence. Using maximum-likelihood methods to evaluate alternative multi-state deterministic models of CWD transmission, harvest data strongly supports a frequency-dependent transmission structure with sex-specific infection rates that are two times higher in males than females. As transmissible spongiform encephalopathies are an important and difficult-to-study class of diseases with major economic and ecological implications, our work supports the hypothesis of frequency-dependent transmission in wild deer at a broad spatial scale and indicates that effective harvest management can be implemented to control CWD prevalence. Specifically, we show that harvest focused on the greater-affected sex (males) can result in stable population dynamics and control of CWD within the next 50 years, given the constraints of the model. We also provide a quantitative estimate of geographic disease spread in southern Wisconsin, validating qualitative assessments that CWD spreads relatively slowly. Given increased discovery and distribution of CWD throughout North America, insights from our study are valuable to management agencies and to the general public concerned about the impacts of CWD on white-tailed deer populations.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0091043","usgsCitation":"Jennelle, C., Henaux, V., Wasserberg, G., Thiagarajan, B., Rolley, R.E., and Samuel, M.D., 2014, Transmission of chronic wasting disease in Wisconsin white-tailed deer: Implications for disease spread and management: PLoS ONE, v. 9, no. 3, p. 1-12, https://doi.org/10.1371/journal.pone.0091043.","productDescription":" e91043; 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-038460","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473099,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0091043","text":"Publisher Index Page"},{"id":340673,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","volume":"9","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-21","publicationStatus":"PW","scienceBaseUri":"59084932e4b0fc4e448ffd82","contributors":{"authors":[{"text":"Jennelle, Christopher S.","contributorId":50823,"corporation":false,"usgs":true,"family":"Jennelle","given":"Christopher S.","affiliations":[],"preferred":false,"id":693757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henaux, Viviane","contributorId":171388,"corporation":false,"usgs":false,"family":"Henaux","given":"Viviane","email":"","affiliations":[{"id":24576,"text":"University of Wisconsin, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":693758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wasserberg, Gideon","contributorId":31185,"corporation":false,"usgs":true,"family":"Wasserberg","given":"Gideon","email":"","affiliations":[],"preferred":false,"id":693759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thiagarajan, Bala","contributorId":92520,"corporation":false,"usgs":true,"family":"Thiagarajan","given":"Bala","email":"","affiliations":[],"preferred":false,"id":693760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rolley, Robert E.","contributorId":171376,"corporation":false,"usgs":false,"family":"Rolley","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":24833,"text":"Wisconsin DNR, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":693761,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Samuel, Michael D. msamuel@usgs.gov","contributorId":1419,"corporation":false,"usgs":true,"family":"Samuel","given":"Michael","email":"msamuel@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693721,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70098154,"text":"ofr20141056 - 2014 - Summary and abstracts of the Planetary Data Workshop, June 2012","interactions":[],"lastModifiedDate":"2019-02-11T10:40:55","indexId":"ofr20141056","displayToPublicDate":"2014-03-20T16:01:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1056","title":"Summary and abstracts of the Planetary Data Workshop, June 2012","docAbstract":"The recent boom in the volume of digital data returned by international planetary science missions continues to both delight and confound users of those data. In just the past decade, the Planetary Data System (PDS), NASA’s official archive of scientific results from U.S. planetary missions, has seen a nearly 50-fold increase in the amount of data and now serves nearly half a petabyte. In only a handful of years, this volume is expected to approach 1 petabyte (1,000 terabytes or 1 quadrillion bytes). Although data providers, archivists, users, and developers have done a creditable job of providing search functions, download capabilities, and analysis and visualization tools, the new wealth of data necessitates more frequent and extensive discussion among users and developers about their current capabilities and their needs for improved and new tools. A workshop to address these and other topics, “Planetary Data: A Workshop for Users and Planetary Software Developers,” was held June 25–29, 2012, at Northern Arizona University (NAU) in Flagstaff, Arizona. A goal of the workshop was to present a summary of currently available tools, along with hands-on training and how-to guides, for acquiring, processing and working with a variety of digital planetary data. The meeting emphasized presentations by data users and mission providers during days 1 and 2, and developers had the floor on days 4 and 5 using an “unconference” format for day 5. Day 3 featured keynote talks by Laurence Soderblom (U.S. Geological Survey, USGS) and Dan Crichton (Jet Propulsion Laboratory, JPL) followed by a panel discussion, and then research and technical discussions about tools and capabilities under recent or current development. Software and tool demonstrations were held in break-out sessions in parallel with the oral session. Nearly 150 data users and developers from across the globe attended, and 22 National Aeronautics and space Administration (NASA) and non-NASA data providers and missions were represented. Presentations (some in video format) and tutorials are posted on the meeting site (<a href=\"http://astrogeology.usgs.gov/groups/Planetary-Data-Workshop\">http://astrogeology.usgs.gov/groups/Planetary-Data-Workshop</a>).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141056","issn":"2331-1258","usgsCitation":"Gaddis, L.R., Hare, T.M., and Beyer, R., 2014, Summary and abstracts of the Planetary Data Workshop, June 2012: U.S. Geological Survey Open-File Report 2014-1056, v, 199 p., https://doi.org/10.3133/ofr20141056.","productDescription":"v, 199 p.","onlineOnly":"Y","temporalStart":"2012-06-01","temporalEnd":"2012-06-30","ipdsId":"IP-049475","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":284345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141056.PNG"},{"id":284344,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1056/pdf/ofr2014-1056.pdf"},{"id":284090,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1056/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7517e4b0b2908510a08c","contributors":{"authors":[{"text":"Gaddis, Lisa R. 0000-0001-9953-5483 lgaddis@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-5483","contributorId":2817,"corporation":false,"usgs":true,"family":"Gaddis","given":"Lisa","email":"lgaddis@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":491648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hare, Trent M. 0000-0001-8842-389X thare@usgs.gov","orcid":"https://orcid.org/0000-0001-8842-389X","contributorId":3188,"corporation":false,"usgs":true,"family":"Hare","given":"Trent","email":"thare@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":491649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beyer, Ross","contributorId":71607,"corporation":false,"usgs":true,"family":"Beyer","given":"Ross","affiliations":[],"preferred":false,"id":491650,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70096234,"text":"70096234 - 2014 - Phytoremediation of a petroleum-hydrocarbon contaminated shallow aquifer in Elizabeth City, North Carolina, USA","interactions":[],"lastModifiedDate":"2018-09-14T16:06:39","indexId":"70096234","displayToPublicDate":"2014-03-20T15:28:20","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3249,"text":"Remediation Journal","active":true,"publicationSubtype":{"id":10}},"title":"Phytoremediation of a petroleum-hydrocarbon contaminated shallow aquifer in Elizabeth City, North Carolina, USA","docAbstract":"A former bulk fuel terminal in North Carolina is a groundwater phytoremediation demonstration site where 3,250 hybrid poplars, willows, and pine trees were planted from 2006 to 2008 over approximately 579,000 L of residual gasoline, diesel, and jet fuel. Since 2011, the groundwater altitude is lower in the area with trees than outside the planted area. Soil-gas analyses showed a 95 percent mass loss for total petroleum hydrocarbons (TPH) and a 99 percent mass loss for benzene, toluene, ethylbenzene, and xylenes (BTEX). BTEX and methyl tert-butyl ether concentrations have decreased in groundwater. Interpolations of free-phase, fuel product gauging data show reduced thicknesses across the site and pooling of fuel product where poplar biomass is greatest. Isolated clusters of tree mortalities have persisted in areas with high TPH and BTEX mass. Toxicity assays showed impaired water use for willows and poplars exposed to the site's fuel product, but Populus survival was higher than the willows or pines on-site, even in a noncontaminated control area. All four Populus clones survived well at the site.","language":"English","publisher":"Wiley","doi":"10.1002/rem.21382","usgsCitation":"Nichols, E.G., Cook, R.L., Landmeyer, J., Atkinson, B., Malone, D.R., Shaw, G., and Woods, L., 2014, Phytoremediation of a petroleum-hydrocarbon contaminated shallow aquifer in Elizabeth City, North Carolina, USA: Remediation Journal, v. 24, no. 2, p. 29-46, https://doi.org/10.1002/rem.21382.","productDescription":"18 p.","startPage":"29","endPage":"46","ipdsId":"IP-052835","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":488239,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rem.21382","text":"Publisher Index Page"},{"id":287162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287161,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rem.21382"}],"country":"United States","state":"North Carolina","city":"Elizabeth City","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.30,36.26 ], [ -76.30,36.34 ], [ -76.18,36.34 ], [ -76.18,36.26 ], [ -76.30,36.26 ] ] ] } } ] }","volume":"24","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-03-17","publicationStatus":"PW","scienceBaseUri":"53749071e4b0870f4d23cfcd","contributors":{"authors":[{"text":"Nichols, Elizabeth Guthrie","contributorId":51210,"corporation":false,"usgs":true,"family":"Nichols","given":"Elizabeth","email":"","middleInitial":"Guthrie","affiliations":[],"preferred":false,"id":491471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, Rachel L.","contributorId":88270,"corporation":false,"usgs":true,"family":"Cook","given":"Rachel","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":491473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landmeyer, James 0000-0002-5640-3816 jlandmey@usgs.gov","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":3257,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James","email":"jlandmey@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491467,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Atkinson, Brad","contributorId":77848,"corporation":false,"usgs":true,"family":"Atkinson","given":"Brad","email":"","affiliations":[],"preferred":false,"id":491472,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Malone, Donald R.","contributorId":9179,"corporation":false,"usgs":true,"family":"Malone","given":"Donald","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":491468,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shaw, George","contributorId":26628,"corporation":false,"usgs":true,"family":"Shaw","given":"George","email":"","affiliations":[],"preferred":false,"id":491469,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Woods, Leilani","contributorId":46011,"corporation":false,"usgs":true,"family":"Woods","given":"Leilani","email":"","affiliations":[],"preferred":false,"id":491470,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70161768,"text":"70161768 - 2014 - Strength of evidence for the effects of feral cats on insular wildlife: The Club Med Syndrome Part II","interactions":[],"lastModifiedDate":"2018-03-23T14:23:52","indexId":"70161768","displayToPublicDate":"2014-03-20T14:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Strength of evidence for the effects of feral cats on insular wildlife: The Club Med Syndrome Part II","docAbstract":"<p>Various types of evidence have been promulgated as proof for the effects of feral cats on wildlife, typically including numerous studies on predation inferred from diet, mortality attributed to pathogens, and photographic or videographic documentation. The strength of these types of evidence is often short of conclusive. For example, studies of predation inferred from diet provide weak evidence for two reasons: 1) they cannot differentiate depredation from scavenging by feral cats, and 2) they cannot address population-level effects on wildlife because it is rarely understood if mortality acts in compensatory or additive manner. Likewise, pathogens may cause mortality of individuals, but population-level effects of pathogens are rarely known. Photographic or videographic documentation provides direct &lsquo;smoking gun&rsquo; evidence that may be useful for positive identification of depredation by cats, or identification of prey designated as threatened or endangered species. However, the most direct and compelling evidence comes from examples where feral cats have been entirely removed from islands. In many cases, several species of seabirds as well as other wildlife have recovered after the complete removal of cats. Where possible, the experimental removal of cats would provide the most conclusive proof of effects on wildlife populations. In other cases where cat removal is not feasible, modeling based on predation rates and life history parameters of species may be the only means of assessing population-level effects on wildlife. Understanding population-level effects of feral cats on wildlife will ultimately be necessary to resolve long-standing wildlife management issues.</p>","conferenceTitle":"26th Vertebrate Pest Conference","conferenceDate":"March 3, 2014","conferenceLocation":"Waikoloa, HI","language":"English","publisher":"University of California, Davis","usgsCitation":"Hess, S.C., 2014, Strength of evidence for the effects of feral cats on insular wildlife: The Club Med Syndrome Part II, 26th Vertebrate Pest Conference, Waikoloa, HI, March 3, 2014, p. 211-216.","productDescription":"5 p.","startPage":"211","endPage":"216","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057984","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":326239,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":326238,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.vpconference.org/Proceedings_of_the_Vertebrate_Pest_Conference/"}],"country":"United States","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a9ad73e4b05e859bdfbb17","contributors":{"authors":[{"text":"Hess, Steve C. 0000-0001-6403-9922 shess@usgs.gov","orcid":"https://orcid.org/0000-0001-6403-9922","contributorId":150366,"corporation":false,"usgs":true,"family":"Hess","given":"Steve","email":"shess@usgs.gov","middleInitial":"C.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":587717,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70115696,"text":"70115696 - 2014 - Making One Health a reality: Crossing bureaucratic boundaries","interactions":[],"lastModifiedDate":"2022-12-09T15:02:15.711094","indexId":"70115696","displayToPublicDate":"2014-03-20T14:28:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"18","title":"Making One Health a reality: Crossing bureaucratic boundaries","docAbstract":"A One Health approach that achieves optimal outcomes requires that nontraditional partners come to a common table to identify solutions that transcend organization-specific mandates. This collaboration requires individuals to go beyond their accustomed comfort zones and function on teams with partners who very likely come from unfamiliar organizational, disciplinary, and even national cultures. Each participant represents a separate mandate and an individual corporate culture and values, and each potentially communicates in agency-specific or industry-prescribed cultural terms that may be foreign to the rest of the team. A recent review paper reports that such interdisciplinary teams are most likely to succeed when they have a unified task and a shared goal and values, and when personal relationships are developed from a foundation of trust and respect (1).","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"One Health: People, animals and the environment","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Wiley","doi":"10.1128/9781555818432.ch18","usgsCitation":"Rubin, C., Dunham, B., and Sleeman, J., 2014, Making One Health a reality: Crossing bureaucratic boundaries, chap. 18 <i>of</i> One Health: People, animals and the environment, p. 269-283, https://doi.org/10.1128/9781555818432.ch18.","productDescription":"15 p.","startPage":"269","endPage":"283","numberOfPages":"15","ipdsId":"IP-043553","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":289690,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2014-04-30","publicationStatus":"PW","scienceBaseUri":"53be5652e4b0527d5d409796","contributors":{"editors":[{"text":"Atlas, R.","contributorId":15869,"corporation":false,"usgs":true,"family":"Atlas","given":"R.","email":"","affiliations":[],"preferred":false,"id":858542,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Maloy, Stanley","contributorId":299757,"corporation":false,"usgs":false,"family":"Maloy","given":"Stanley","email":"","affiliations":[],"preferred":false,"id":858543,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Rubin, Carol","contributorId":54115,"corporation":false,"usgs":true,"family":"Rubin","given":"Carol","email":"","affiliations":[],"preferred":false,"id":495669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Bernadette","contributorId":99473,"corporation":false,"usgs":true,"family":"Dunham","given":"Bernadette","email":"","affiliations":[],"preferred":false,"id":495670,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sleeman, Jonathan 0000-0002-9910-6125","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":43467,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","affiliations":[],"preferred":false,"id":495668,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70099120,"text":"70099120 - 2014 - Quantity and quality of groundwater discharge in a hypersaline lake environment","interactions":[],"lastModifiedDate":"2017-01-03T14:57:56","indexId":"70099120","displayToPublicDate":"2014-03-20T13:59:00","publicationYear":"2014","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":"Quantity and quality of groundwater discharge in a hypersaline lake environment","docAbstract":"Geophysical and geochemical surveys were conducted to understand groundwater discharge to Great Salt Lake (GSL) and assess the potential significance of groundwater discharge as a source of selenium (Se). Continuous resistivity profiling (CRP) focusing below the sediment/water interface and fiber-optic distributed temperature sensing (FO-DTS) surveys were conducted along the south shore of GSL. FO-DTS surveys identified persistent cold-water temperature anomalies at 10 separate locations. Seepage measurements were conducted at 17 sites (mean seepage rate = 0.8 cm/day). High resistivity anomalies identified by the CRP survey were likely a mirabilite (Na<sub>2</sub>SO<sub>4</sub>·10H<sub>2</sub>O) salt layer acting as a semi-confining layer for the shallow groundwater below the south shore of the lake. Positive seepage rates measured along the near-shore areas of GSL indicate that a ∼1-m thick oolitic sand overlying the mirabilite layer is likely acting as a shallow, unconfined aquifer. Using the average seepage rate of 0.8 cm/day over an area of 1.6 km<sup>2</sup>, an annual Se mass loading to GSL of 23.5 kg was estimated. Determination of R/Ra values (calculated <sup>3</sup>He/<sup>4</sup>He ratio over the present-day atmospheric <sup>3</sup>He/<sup>4</sup>He ratio) <1 and tritium activities of 1.2–2.0 tritium units in groundwater within and below the mirabilite layer indicates a convergence of regional and local groundwater flow paths discharging into GSL. Groundwater within and below the mirabilite layer obtains its high sulfate salinity from the dissolution of mirabilite. The δ<sup>34</sup>S and δ<sup>18</sup>O isotopic values in samples of dissolved sulfate from the shallow groundwater below the mirabilite are almost identical to the isotopic signature of the mirabilite core material. The saturation index calculated for groundwater samples using PHREEQC indicates the water is at equilibrium with mirabilite. Water samples collected from GSL immediately off shore contained Se concentrations that were 3–4 times higher than other sampling sites >25 km offshore from the study site and may be originating from less saline groundwater seeps mixing with the more saline water from GSL. Additional evidence for mixing with near shore seeps is found in the δD and δ<sup>18</sup>O isotopic values and Br:Cl ratios. Geochemical modeling for a water sample collected in the vicinity of the study area indicates that under chemically reducing conditions, arsenic- (As) bearing minerals could dissolve while Se-bearing minerals will likely precipitate out of solution, possibly explaining why the shallow groundwater below and within the mirabilite salt layer contains low concentrations of Se (0.9–2.3 μg/L).","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2014.02.040","usgsCitation":"Anderson, R., Naftz, D.L., Day-Lewis, F., Henderson, R., Rosenberry, D., Stolp, B., and Jewell, P., 2014, Quantity and quality of groundwater discharge in a hypersaline lake environment: Journal of Hydrology, v. 512, p. 177-194, https://doi.org/10.1016/j.jhydrol.2014.02.040.","productDescription":"18 p.","startPage":"177","endPage":"194","ipdsId":"IP-037434","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":284337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Great Salt Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.326622,40.499181 ], [ -112.326622,40.849657 ], [ -111.94931,40.849657 ], [ -111.94931,40.499181 ], [ -112.326622,40.499181 ] ] ] } } ] }","volume":"512","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5351705de4b05569d805a383","contributors":{"authors":[{"text":"Anderson, R.B.","contributorId":48693,"corporation":false,"usgs":true,"family":"Anderson","given":"R.B.","email":"","affiliations":[],"preferred":false,"id":491834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Naftz, D. L.","contributorId":40624,"corporation":false,"usgs":true,"family":"Naftz","given":"D.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":491833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, F. D. 0000-0003-3526-886X","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":35773,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"F. D.","affiliations":[],"preferred":false,"id":491831,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henderson, R.D.","contributorId":14269,"corporation":false,"usgs":true,"family":"Henderson","given":"R.D.","email":"","affiliations":[{"id":6619,"text":"University of Connecticutt","active":true,"usgs":false},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":false,"id":491830,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosenberry, D.O. 0000-0003-0681-5641","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":38500,"corporation":false,"usgs":true,"family":"Rosenberry","given":"D.O.","affiliations":[],"preferred":true,"id":491832,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stolp, Bernard J. 0000-0003-3803-1497","orcid":"https://orcid.org/0000-0003-3803-1497","contributorId":71942,"corporation":false,"usgs":true,"family":"Stolp","given":"Bernard J.","affiliations":[],"preferred":false,"id":491835,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jewell, P.","contributorId":77843,"corporation":false,"usgs":true,"family":"Jewell","given":"P.","email":"","affiliations":[],"preferred":false,"id":491836,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70160763,"text":"70160763 - 2014 - Occurrence, habitat, and movements of the endangered northern madtom (<i>Noturus stigmosus</i>) in the Detroit River, 2003-2011","interactions":[],"lastModifiedDate":"2015-12-30T11:35:15","indexId":"70160763","displayToPublicDate":"2014-03-20T12:30:00","publicationYear":"2014","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":"Occurrence, habitat, and movements of the endangered northern madtom (<i>Noturus stigmosus</i>) in the Detroit River, 2003-2011","docAbstract":"<p>The northern madtom (<i>Noturus stigmosus</i> or NOM) is a small catfish, native to North America. It is globally vulnerable and endangered in Canada, Ontario, and Michigan. In 1994 and 1996, it was found in the St. Clair River and in Lake St. Clair, respectively. However, it had not been found downstream in the Detroit River since 1978. We report catches of 304 NOM from 2003 to 2011 and describe their mud and sand habitats in the deep (10 m), dark, Detroit River. We found adult NOM, including 3 ripe males (90&ndash;107 mm SL) in head waters of the river near Belle Isle in Michigan waters, and both adult and 4 juvenile NOM (21&ndash;30 mm SL) near Peche Island in Ontario waters. From 2009 to 2011, in the river's middle reach, we caught 7 adult NOM for the first time near Fighting Island in Ontario waters, but no NOM in the river's lower reach. Our mark&ndash;recapture results showed that within 6 weeks, 2 adult NOM moved east 2.0 km from Michigan waters near Belle Isle across the deep (10 m) Fleming Channel of the Detroit River to Canadian waters near Peche Island. Analysis of annuli from pectoral spines of 7 dead NOM revealed that they live to at least 6 years of age in the Detroit River. This is the first age data that we could find for a NOM population. Our findings extended our knowledge of habitat, reproductive ecology, age, and distribution of NOM in the Detroit River corridor.</p>","language":"English","publisher":"International Association for Great Lakes Research","publisherLocation":"Toronto","doi":"10.1016/j.jglr.2014.01.005","usgsCitation":"Manny, B.A., Daley, B.A., Boase, J., Horne, A., and Chiotti, J.A., 2014, Occurrence, habitat, and movements of the endangered northern madtom (<i>Noturus stigmosus</i>) in the Detroit River, 2003-2011: Journal of Great Lakes Research, v. 40, no. Supplement 2, p. 118-124, https://doi.org/10.1016/j.jglr.2014.01.005.","productDescription":"7 p.","startPage":"118","endPage":"124","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053878","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313042,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Ontario","otherGeospatial":"Detroit River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.89253234863281,\n              42.38898005764399\n            ],\n            [\n              -82.86575317382812,\n              42.32504712815144\n            ],\n            [\n              -82.93853759765625,\n              42.33113878082109\n            ],\n            [\n              -83.04496765136719,\n              42.312354290456355\n            ],\n            [\n              -83.07586669921875,\n              42.291532494305976\n            ],\n            [\n              -83.09715270996092,\n              42.26003279710112\n            ],\n            [\n              -83.09234619140625,\n              42.1684928659947\n            ],\n            [\n              -83.10127258300781,\n              42.094146370922736\n            ],\n            [\n              -83.10333251953125,\n              42.046743179583714\n            ],\n            [\n              -83.1939697265625,\n              42.046233275485214\n            ],\n            [\n              -83.19602966308594,\n              42.11248648904184\n            ],\n            [\n              -83.17131042480469,\n              42.183249931734096\n            ],\n            [\n              -83.15208435058592,\n              42.21580506349499\n            ],\n            [\n              -83.15483093261719,\n              42.23766862211923\n            ],\n            [\n              -83.13491821289062,\n              42.25596717322461\n            ],\n            [\n              -83.08822631835938,\n              42.316416277076605\n            ],\n            [\n              -83.03672790527344,\n              42.33621470741859\n            ],\n            [\n              -82.99003601074219,\n              42.35854391749705\n            ],\n            [\n              -82.93853759765625,\n              42.365139666205934\n            ],\n            [\n              -82.89253234863281,\n              42.38898005764399\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"Supplement 2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56850ed7e4b0a04ef4933a70","contributors":{"authors":[{"text":"Manny, Bruce A. 0000-0002-4074-9329 bmanny@usgs.gov","orcid":"https://orcid.org/0000-0002-4074-9329","contributorId":3699,"corporation":false,"usgs":true,"family":"Manny","given":"Bruce","email":"bmanny@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Daley, Bryon A.","contributorId":150967,"corporation":false,"usgs":false,"family":"Daley","given":"Bryon","email":"","middleInitial":"A.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":583804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boase, James C.","contributorId":72713,"corporation":false,"usgs":true,"family":"Boase","given":"James C.","affiliations":[],"preferred":false,"id":583805,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horne, A.","contributorId":150968,"corporation":false,"usgs":false,"family":"Horne","given":"A.","email":"","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":583806,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chiotti, Justin A.","contributorId":59371,"corporation":false,"usgs":true,"family":"Chiotti","given":"Justin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":583807,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70095112,"text":"pp1798H - 2014 - Geomorphic changes caused by the 2011 flood at selected sites along the lower Missouri River and comparison to historical floods","interactions":[{"subject":{"id":70095112,"text":"pp1798H - 2014 - Geomorphic changes caused by the 2011 flood at selected sites along the lower Missouri River and comparison to historical floods","indexId":"pp1798H","publicationYear":"2014","noYear":false,"chapter":"H","title":"Geomorphic changes caused by the 2011 flood at selected sites along the lower Missouri River and comparison to historical floods"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":1}],"isPartOf":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"lastModifiedDate":"2024-10-18T13:25:37.893753","indexId":"pp1798H","displayToPublicDate":"2014-03-19T15:44:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1798","chapter":"H","title":"Geomorphic changes caused by the 2011 flood at selected sites along the lower Missouri River and comparison to historical floods","docAbstract":"<p>An analysis of recent and historical U.S. Geological Survey streamgage information was used to assess geomorphic changes caused by the 2011 flood, in comparison to selected historical floods, at three streamgage sites along the lower Missouri River—Sioux City, Iowa; Omaha, Nebraska; and Kansas City, Missouri. Channel-width change was not evident at the three streamgage sites following the 2011 flood and likely was inhibited by bank stabilization. Pronounced changes in channel-bed elevation were indicated.</p><p>At Sioux City and Omaha, the geomorphic effects of the 2011 flood were similar in terms of the magnitude of channelbed scour and recovery. At both sites, the 2011 flood caused pronounced scour (about 3 feet) of the channel bed; however, at Omaha, most of the channel-bed scour occurred after the flood had receded. More than 1 year after the flood, the channel bed had only partially recovered (about 1 foot) at both sites. Pronounced scour (about 3 feet at Sioux City and about 1.5 feet at Omaha) also was caused by the 1952 flood, which had a substantially larger peak discharge but was much shorter in duration at both sites. Again, at Omaha, most of the channel- bed scour occurred after the flood had receded. At Sioux City, substantial recovery of the channel bed (about 2.5 feet) was documented 1 year after the 1952 flood. Recovery to the pre-flood elevation was complete by April 1954. The greater recovery following the 1952 flood, compared to the 2011 flood, likely was related to a more abundant sediment supply because the flood predated the completion of most of the main-stem dam, channelization, and bank stabilization projects. At Omaha, following the 1952 flood, the channel bed never fully recovered to its pre-flood elevation.</p><p>The geomorphic effect of the 2011 flood at Kansas City was fill (about 1 foot) on the channel bed followed by relative stability. The 1952 flood, which had a substantially larger peak discharge but was much shorter in duration, caused modest fill (about 0.5 foot) on the channel bed. The 1993 flood, which also had a substantially larger peak discharge but was much shorter in duration, caused pronounced scour of the channel bed (possibly as much as 4 feet). Similar to the floods at Omaha, much of the channel-bed scour at Kansas City occurred after the 1993 flood had receded. More than 1 year after the 1993 flood, following partial recovery (about 1 foot), the channel bed had stabilized, at least temporarily. Following the 1993 flood, the channel bed never fully recovered to its pre-flood elevation.</p><p>For each flood in the post-dam era that resulted in substantial channel-bed scour (Sioux City in 2011, Omaha in 2011, Kansas City in 1993), recovery of the channel bed to its pre-flood elevation had not occurred more than 1 year after the flood (20 years after the 1993 flood at Kansas City). Thus, the possibility exists that channel-bed scour caused by large floods may have a cumulative effect along the lower Missouri River. The persistence of the flood-related decreases in channel-bed elevation may be indicative of the constrained ability of the channel to recover given a limited sediment supply caused by one or more of the following factors: upstream storage of sediment in reservoirs, bank stabilization, commercial sand dredging, depletion of readily available sediment by the flood, and a lack of post-flood sediment contributions from tributaries.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2011 floods of the central United States (Professional Paper 1798)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1798H","usgsCitation":"Juracek, K.E., 2014, Geomorphic changes caused by the 2011 flood at selected sites along the lower Missouri River and comparison to historical floods: U.S. Geological Survey Professional Paper 1798, iv, 15 p., https://doi.org/10.3133/pp1798H.","productDescription":"iv, 15 p.","numberOfPages":"24","onlineOnly":"Y","ipdsId":"IP-050647","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":284283,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1798h/","linkFileType":{"id":5,"text":"html"}},{"id":284284,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1798h/pdf/pp1798h.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":284285,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1798h.jpg"}],"scale":"10000000","projection":"Clarke 1866 Albers Projection","country":"United States","state":"Colorado, Idaho, Iowa, Kansas, Missouri, Montana, Nebraska, North Dakota, South Dakota, Wyoming","otherGeospatial":"lower Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.0,35.0 ], [ -110.0,50.0 ], [ -90.0,50.0 ], [ -90.0,35.0 ], [ -110.0,35.0 ] ] ] } } ] }","contact":"<p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5e9de4b0b290850fbcf7","contributors":{"authors":[{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":491078,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70094490,"text":"sir20145030 - 2014 - Methods for estimating the magnitude and frequency of floods for urban and small, rural streams in Georgia, South Carolina, and North Carolina, 2011","interactions":[],"lastModifiedDate":"2017-01-17T20:56:35","indexId":"sir20145030","displayToPublicDate":"2014-03-19T14:26:00","publicationYear":"2014","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":"2014-5030","title":"Methods for estimating the magnitude and frequency of floods for urban and small, rural streams in Georgia, South Carolina, and North Carolina, 2011","docAbstract":"<p>Reliable estimates of the magnitude and frequency of floods are essential for the design of transportation and water-conveyance structures, flood-insurance studies, and flood-plain management. Such estimates are particularly important in densely populated urban areas. In order to increase the number of streamflow-gaging stations (streamgages) available for analysis, expand the geographical coverage that would allow for application of regional regression equations across State boundaries, and build on a previous flood-frequency investigation of rural U.S Geological Survey streamgages in the Southeast United States, a multistate approach was used to update methods for determining the magnitude and frequency of floods in urban and small, rural streams that are not substantially affected by regulation or tidal fluctuations in Georgia, South Carolina, and North Carolina. The at-site flood-frequency analysis of annual peak-flow data for urban and small, rural streams (through September 30, 2011) included 116 urban streamgages and 32 small, rural streamgages, defined in this report as basins draining less than 1 square mile. The regional regression analysis included annual peak-flow data from an additional 338 rural streamgages previously included in U.S. Geological Survey flood-frequency reports and 2 additional rural streamgages in North Carolina that were not included in the previous Southeast rural flood-frequency investigation for a total of 488 streamgages included in the urban and small, rural regression analysis. The at-site flood-frequency analyses for the urban and small, rural streamgages included the expected moments algorithm, which is a modification of the Bulletin 17B log-Pearson type III method for fitting the statistical distribution to the logarithms of the annual peak flows. Where applicable, the flood-frequency analysis also included low-outlier and historic information. Additionally, the application of a generalized Grubbs-Becks test allowed for the detection of multiple potentially influential low outliers.</p>\n<br/>\n<p>Streamgage basin characteristics were determined using geographical information system techniques. Initial ordinary least squares regression simulations reduced the number of basin characteristics on the basis of such factors as statistical significance, coefficient of determination, Mallow’s Cp statistic, and ease of measurement of the explanatory variable. Application of generalized least squares regression techniques produced final predictive (regression) equations for estimating the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probability flows for urban and small, rural ungaged basins for three hydrologic regions (HR1, Piedmont–Ridge and Valley; HR3, Sand Hills; and HR4, Coastal Plain), which previously had been defined from exploratory regression analysis in the Southeast rural flood-frequency investigation. Because of the limited availability of urban streamgages in the Coastal Plain of Georgia, South Carolina, and North Carolina, additional urban streamgages in Florida and New Jersey were used in the regression analysis for this region. Including the urban streamgages in New Jersey allowed for the expansion of the applicability of the predictive equations in the Coastal Plain from 3.5 to 53.5 square miles. Average standard error of prediction for the predictive equations, which is a measure of the average accuracy of the regression equations when predicting flood estimates for ungaged sites, range from 25.0 percent for the 10-percent annual exceedance probability regression equation for the Piedmont–Ridge and Valley region to 73.3 percent for the 0.2-percent annual exceedance probability regression equation for the Sand Hills region.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145030","collaboration":"Prepared in cooperation with the South Carolina Department of Transportation, Office of Materials and Research, and the North Carolina Department of Transportation, Division of Highways (Hydraulics Unit)","usgsCitation":"Feaster, T., Gotvald, A.J., and Weaver, J., 2014, Methods for estimating the magnitude and frequency of floods for urban and small, rural streams in Georgia, South Carolina, and North Carolina, 2011 (First posted March 19, 2014; Revised March 26, 2014, ver. 1.1): U.S. Geological Survey Scientific Investigations Report 2014-5030, Report: vii, 104 p.; Application-of-Methods-Tool, https://doi.org/10.3133/sir20145030.","productDescription":"Report: vii, 104 p.; Application-of-Methods-Tool","numberOfPages":"116","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051253","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":284263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145030.jpg"},{"id":284261,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5030/pdf/sir2014-5030.pdf"},{"id":284260,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5030/"},{"id":284262,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5030/sir2014-5030_applications_tool-ver1.1.xlsx"}],"country":"United States","state":"Georgia, North Carolina, South Carolina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.04,29.95 ], [ -86.04,38.01 ], [ -74.69,38.01 ], [ -74.69,29.95 ], [ -86.04,29.95 ] ] ] } } ] }","edition":"First posted March 19, 2014; Revised March 26, 2014, ver. 1.1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517055e4b05569d805a32a","contributors":{"authors":[{"text":"Feaster, Toby D. 0000-0002-5626-5011 tfeaster@usgs.gov","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":1109,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby D.","email":"tfeaster@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":490633,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gotvald, Anthony J. 0000-0002-9019-750X agotvald@usgs.gov","orcid":"https://orcid.org/0000-0002-9019-750X","contributorId":1970,"corporation":false,"usgs":true,"family":"Gotvald","given":"Anthony","email":"agotvald@usgs.gov","middleInitial":"J.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weaver, J. Curtis","contributorId":42260,"corporation":false,"usgs":true,"family":"Weaver","given":"J. Curtis","affiliations":[],"preferred":false,"id":490635,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70074734,"text":"ofr20141017 - 2014 - Evaluation of coral pathogen growth rates after exposure to atmospheric African dust samples","interactions":[],"lastModifiedDate":"2014-03-19T14:06:20","indexId":"ofr20141017","displayToPublicDate":"2014-03-19T13:58:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1017","title":"Evaluation of coral pathogen growth rates after exposure to atmospheric African dust samples","docAbstract":"Laboratory experiments were conducted to assess if exposure to atmospheric African dust stimulates or inhibits the growth of four putative bacterial coral pathogens. Atmospheric dust was collected from a dust-source region (Mali, West Africa) and from Saharan Air Layer masses over downwind sites in the Caribbean [Trinidad and Tobago and St. Croix, U.S. Virgin Islands (USVI)]. Extracts of dust samples were used to dose laboratory-grown cultures of four putative coral pathogens: <i>Aurantimonas coralicida</i> (white plague type II), <i>Serratia marcescens</i> (white pox), <i>Vibrio coralliilyticus</i>, and <i>V. shiloi</i> (bacteria-induced bleaching). Growth of <i>A. coralicida</i> and <i>V. shiloi</i> was slightly stimulated by dust extracts from Mali and USVI, respectively, but unaffected by extracts from the other dust sources. Lag time to the start of log-growth phase was significantly shortened for <i>A. coralicida</i> when dosed with dust extracts from Mali and USVI. Growth of <i>S. marcescens</i> and <i>V. coralliilyticus</i> was neither stimulated nor inhibited by any of the dust extracts. This study demonstrates that constituents from atmospheric dust can alter growth of recognized coral disease pathogens under laboratory conditions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141017","usgsCitation":"Lisle, J.T., Garrison, V.H., and Gray, M.A., 2014, Evaluation of coral pathogen growth rates after exposure to atmospheric African dust samples: U.S. Geological Survey Open-File Report 2014-1017, vi, 12 p., https://doi.org/10.3133/ofr20141017.","productDescription":"vi, 12 p.","numberOfPages":"18","onlineOnly":"Y","ipdsId":"IP-051527","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":284253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141017.jpg"},{"id":284251,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1017/"},{"id":284252,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1017/pdf/of2014-1017.pdf"}],"country":"Mali;Trinidad And Tobago;U.S. Virgin Islands","otherGeospatial":"Caribbean Sea","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -65.0855,10.04 ], [ -65.0855,25.0 ], [ 4.27,25.0 ], [ 4.27,10.04 ], [ -65.0855,10.04 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5858e4b0b290850f809a","contributors":{"authors":[{"text":"Lisle, John T. 0000-0002-5447-2092 jlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-5447-2092","contributorId":2944,"corporation":false,"usgs":true,"family":"Lisle","given":"John","email":"jlisle@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garrison, Virginia H. ginger_garrison@usgs.gov","contributorId":2386,"corporation":false,"usgs":true,"family":"Garrison","given":"Virginia","email":"ginger_garrison@usgs.gov","middleInitial":"H.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":489762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Michael A. 0000-0002-3856-5037 mgray@usgs.gov","orcid":"https://orcid.org/0000-0002-3856-5037","contributorId":3532,"corporation":false,"usgs":true,"family":"Gray","given":"Michael","email":"mgray@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489764,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70094629,"text":"ds826 - 2014 - Topographic data of selected areas along the Alabama River near Montgomery, Alabama, collected using mobile terrestrial light detection and ranging (T-LiDAR) technology","interactions":[],"lastModifiedDate":"2014-03-19T12:54:35","indexId":"ds826","displayToPublicDate":"2014-03-19T12:47:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"826","title":"Topographic data of selected areas along the Alabama River near Montgomery, Alabama, collected using mobile terrestrial light detection and ranging (T-LiDAR) technology","docAbstract":"Topographic data at selected areas within the Alabama River flood plain near Montgomery, Alabama, were collected using a truck-mounted mobile terrestrial light detection and ranging system. These data were collected for inclusion in a flood inundation model developed by the National Weather Service in Birmingham, Alabama. Data are presented as ArcGIS point shapefiles with the extension .shp.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds826","collaboration":"Prepared in cooperation with the National Weather Service Forecast Office, Birmingham, Alabama","usgsCitation":"Kimbrow, D., 2014, Topographic data of selected areas along the Alabama River near Montgomery, Alabama, collected using mobile terrestrial light detection and ranging (T-LiDAR) technology: U.S. Geological Survey Data Series 826, HTML Document; Downloads Directory, https://doi.org/10.3133/ds826.","productDescription":"HTML Document; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051220","costCenters":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"links":[{"id":284234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds826.jpg"},{"id":284233,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0826/Downloads"},{"id":284231,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0826/"},{"id":284235,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0826/title_page.html"}],"country":"United States","state":"Alabama","city":"Montgomery","otherGeospatial":"Alabama River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.419,32.249 ], [ -86.419,32.437 ], [ -86.072,32.437 ], [ -86.072,32.249 ], [ -86.419,32.249 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7929e4b0b2908510ca51","contributors":{"authors":[{"text":"Kimbrow, D.R.","contributorId":25702,"corporation":false,"usgs":true,"family":"Kimbrow","given":"D.R.","affiliations":[],"preferred":false,"id":490673,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70112282,"text":"70112282 - 2014 - Local extinction and unintentional rewilding of bighorn sheep (<i>Ovis canadensis</i>) on a desert island","interactions":[],"lastModifiedDate":"2014-06-12T12:51:03","indexId":"70112282","displayToPublicDate":"2014-03-19T12:45:22","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Local extinction and unintentional rewilding of bighorn sheep (<i>Ovis canadensis</i>) on a desert island","docAbstract":"Bighorn sheep (<i>Ovis canadensis</i>) were not known to live on Tiburón Island, the largest island in the Gulf of California and Mexico, prior to the surprisingly successful introduction of 20 individuals as a conservation measure in 1975. Today, a stable island population of ~500 sheep supports limited big game hunting and restocking of depleted areas on the Mexican mainland. We discovered fossil dung morphologically similar to that of bighorn sheep in a dung mat deposit from Mojet Cave, in the mountains of Tiburón Island. To determine the origin of this cave deposit we compared pellet shape to fecal pellets of other large mammals, and extracted DNA to sequence mitochondrial DNA fragments at the 12S ribosomal RNA and control regions. The fossil dung was <sup>14</sup>C-dated to 1476–1632 calendar years before present and was confirmed as bighorn sheep by morphological and ancient DNA (aDNA) analysis. 12S sequences closely or exactly matched known bighorn sheep sequences; control region sequences exactly matched a haplotype described in desert bighorn sheep populations in southwest Arizona and southern California and showed subtle differentiation from the extant Tiburón population. Native desert bighorn sheep previously colonized this land-bridge island, most likely during the Pleistocene, when lower sea levels connected Tiburón to the mainland. They were extirpated sometime in the last ~1500 years, probably due to inherent dynamics of isolated populations, prolonged drought, and (or) human overkill. The reintroduced population is vulnerable to similar extinction risks. The discovery presented here refutes conventional wisdom that bighorn sheep are not native to Tiburón Island, and establishes its recent introduction as an example of unintentional rewilding, defined here as the introduction of a species without knowledge that it was once native and has since gone locally extinct.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0091358","usgsCitation":"Wilder, B.T., Betancourt, J.L., Epps, C., Crowhurst, R., Mead, J.I., and Ezcurra, E., 2014, Local extinction and unintentional rewilding of bighorn sheep (<i>Ovis canadensis</i>) on a desert island: PLoS ONE, v. 9, no. 3, 9 p., https://doi.org/10.1371/journal.pone.0091358.","productDescription":"9 p.","numberOfPages":"9","onlineOnly":"Y","ipdsId":"IP-054087","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":473101,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0091358","text":"Publisher Index Page"},{"id":288492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288491,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0091358"}],"country":"Mexico","otherGeospatial":"Gulf Of California;Tibur�n Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.799,28.6322 ], [ -112.799,29.2971 ], [ -112.0513,29.2971 ], [ -112.0513,28.6322 ], [ -112.799,28.6322 ] ] ] } } ] }","volume":"9","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-03-19","publicationStatus":"PW","scienceBaseUri":"539acc09e4b0e83db6d08f87","contributors":{"authors":[{"text":"Wilder, Benjamin T.","contributorId":40518,"corporation":false,"usgs":true,"family":"Wilder","given":"Benjamin","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":494625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":494623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Epps, Clinton W.","contributorId":10917,"corporation":false,"usgs":true,"family":"Epps","given":"Clinton W.","affiliations":[],"preferred":false,"id":494624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crowhurst, Rachel S.","contributorId":51010,"corporation":false,"usgs":true,"family":"Crowhurst","given":"Rachel S.","affiliations":[],"preferred":false,"id":494626,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mead, Jim I.","contributorId":87067,"corporation":false,"usgs":true,"family":"Mead","given":"Jim","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":494628,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ezcurra, Exequiel","contributorId":52893,"corporation":false,"usgs":true,"family":"Ezcurra","given":"Exequiel","affiliations":[],"preferred":false,"id":494627,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70093735,"text":"sir20145027 - 2014 - Evaluation of quality-control data collected by the U.S. Geological Survey for routine water-quality activities at the Idaho National Laboratory and vicinity, southeastern Idaho, 2002-08","interactions":[],"lastModifiedDate":"2014-03-19T11:55:03","indexId":"sir20145027","displayToPublicDate":"2014-03-19T11:26:00","publicationYear":"2014","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":"2014-5027","title":"Evaluation of quality-control data collected by the U.S. Geological Survey for routine water-quality activities at the Idaho National Laboratory and vicinity, southeastern Idaho, 2002-08","docAbstract":"<p>Quality-control (QC) samples were collected from 2002 through 2008 by the U.S. Geological Survey, in cooperation with the U.S. Department of Energy, to ensure data robustness by documenting the variability and bias of water-quality data collected at surface-water and groundwater sites at and near the Idaho National Laboratory. QC samples consisted of 139 replicates and 22 blanks (approximately 11 percent of the number of environmental samples collected). Measurements from replicates were used to estimate variability (from field and laboratory procedures and sample heterogeneity), as reproducibility and reliability, of water-quality measurements of radiochemical, inorganic, and organic constituents. Measurements from blanks were used to estimate the potential contamination bias of selected radiochemical and inorganic constituents in water-quality samples, with an emphasis on identifying any cross contamination of samples collected with portable sampling equipment.</p>\n\n<br>\n\n<p>The reproducibility of water-quality measurements was estimated with calculations of normalized absolute difference for radiochemical constituents and relative standard deviation (RSD) for inorganic and organic constituents. The reliability of water-quality measurements was estimated with pooled RSDs for all constituents. Reproducibility was acceptable for all constituents except dissolved aluminum and total organic carbon. Pooled RSDs were equal to or less than 14 percent for all constituents except for total organic carbon, which had pooled RSDs of 70 percent for the low concentration range and 4.4 percent for the high concentration range.</p>\n\n<br>\n\n<p>Source-solution and equipment blanks were measured for concentrations of tritium, strontium-90, cesium-137, sodium, chloride, sulfate, and dissolved chromium. Field blanks were measured for the concentration of iodide. No detectable concentrations were measured from the blanks except for strontium-90 in one source solution and one equipment blank collected in September and October 2004, respectively. The detectable concentrations of strontium-90 in the blanks probably were from a small source of strontium-90 contamination or large measurement variability, or both.</p>\n\n<br>\n\n<p>Order statistics and the binomial probability distribution were used to estimate the magnitude and extent of any potential contamination bias of tritium, strontium-90, cesium-137, sodium, chloride, sulfate, dissolved chromium, and iodide in water-quality samples. These statistical methods indicated that, with (1) 87 percent confidence, contamination bias of cesium-137 and sodium in 60 percent of water-quality samples was less than the minimum detectable concentration or reporting level; (2) 92‒94 percent confidence, contamination bias of tritium, strontium-90, chloride, sulfate, and dissolved chromium in 70 percent of water-quality samples was less than the minimum detectable concentration or reporting level; and (3) 75 percent confidence, contamination bias of iodide in 50 percent of water-quality samples was less than the reporting level for iodide. These results support the conclusion that contamination bias of water-quality samples from sample processing, storage, shipping, and analysis was insignificant and that cross-contamination of perched groundwater samples collected with bailers during 2002–08 was insignificant.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145027","collaboration":"DOE/ID-22228; Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Rattray, G.W., 2014, Evaluation of quality-control data collected by the U.S. Geological Survey for routine water-quality activities at the Idaho National Laboratory and vicinity, southeastern Idaho, 2002-08: U.S. Geological Survey Scientific Investigations Report 2014-5027, vi, 66 p., https://doi.org/10.3133/sir20145027.","productDescription":"vi, 66 p.","onlineOnly":"Y","ipdsId":"IP-049768","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":284212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145027.jpg"},{"id":284211,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5027/pdf/sir20145027.pdf"},{"id":284210,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5027/"}],"country":"United States","state":"Idaho","otherGeospatial":"Idaho National Laboratory And Vicinity","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.75,43.25 ], [ -113.75,44.25 ], [ -112.25,44.25 ], [ -112.25,43.25 ], [ -113.75,43.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5870e4b0b290850f8176","contributors":{"authors":[{"text":"Rattray, Gordon W. 0000-0002-1690-3218 grattray@usgs.gov","orcid":"https://orcid.org/0000-0002-1690-3218","contributorId":2521,"corporation":false,"usgs":true,"family":"Rattray","given":"Gordon","email":"grattray@usgs.gov","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490184,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70073852,"text":"pp1798D - 2014 - Annual exceedance probabilities and trends for peak streamflows and annual runoff volumes for the Central United States during the 2011 floods","interactions":[{"subject":{"id":70073852,"text":"pp1798D - 2014 - Annual exceedance probabilities and trends for peak streamflows and annual runoff volumes for the Central United States during the 2011 floods","indexId":"pp1798D","publicationYear":"2014","noYear":false,"chapter":"D","title":"Annual exceedance probabilities and trends for peak streamflows and annual runoff volumes for the Central United States during the 2011 floods"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":1}],"isPartOf":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"lastModifiedDate":"2024-10-18T13:20:30.077888","indexId":"pp1798D","displayToPublicDate":"2014-03-19T10:08:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1798","chapter":"D","title":"Annual exceedance probabilities and trends for peak streamflows and annual runoff volumes for the Central United States during the 2011 floods","docAbstract":"<p>During 2011, excess precipitation resulted in widespread flooding in the Central United States with 33 fatalities and approximately $4.2 billion in damages reported in the Red River of the North, Souris, and Mississippi River Basins. At different times from late February 2011 through September 2011, various rivers in these basins had major flooding, with some locations having multiple rounds of flooding. This report provides broadscale characterizations of annual exceedance probabilities and trends for peak streamflows and annual runoff volumes for selected streamgages in the Central United States in areas affected by 2011 flooding.</p><p>Annual exceedance probabilities (AEPs) were analyzed for 321 streamgages for annual peak streamflow and for 211 streamgages for annual runoff volume. Some of the most exceptional flooding was for the Souris River Basin, where of 11 streamgages considered for AEP analysis of peak streamflow, flood peaks in 2011 exceeded the next largest peak of record by at least double for 6 of the longest-term streamgages (75 to 108 years of peak-flow record). AEPs for these six streamgages were less than 1 percent. AEPs for 2011 runoff volumes were less than 1 percent for all seven Souris River streamgages considered for AEP analysis. Magnitudes of 2011 runoff volumes exceeded previous maxima by double or more for 5 of the 7 streamgages (record lengths 52 to 108 years).</p><p>For the Red River of the North Basin, AEPs for 2011 runoff volumes were exceptional, with two streamgages having AEPs less than 0.2 percent, five streamgages in the range of 0.2 to 1 percent, and four streamgages in the range of 1 to 2 percent. Magnitudes of 2011 runoff volumes also were exceptional, with all 11 of the aforementioned streamgages eclipsing previous long-term (62 to 110 years) annual maxima by about one-third or more.</p><p>AEPs for peak streamflows in the upper Mississippi River Basin were not exceptional, with no AEPs less than 1 percent. AEPs for annual runoff volumes indicated less frequent recurrence, with 11 streamgages having AEPs of less than 1 percent. The 2011 runoff volume for streamgage 05331000 (at Saint Paul, Minnesota) exceeded the previous record (112 years of record) by about 24 percent.</p><p>An especially newsworthy feature was prolonged flooding along the main stem of the Missouri River downstream from Garrison Dam (located upstream from Bismarck, North Dakota) and extending downstream throughout the length of the Missouri River. The 2011 runoff volume for streamgage 06342500 (at Bismarck) exceeded the previous (1975) maximum by about 50 percent, with an associated AEP in the range of 0.2 to 1 percent.</p><p>In the Ohio River Basin, peak-streamflow AEPs were less than 2 percent for only four streamgages. Runoff-volume AEPs were less than 2 percent for only three streamgages. Along the lower Mississippi River, the largest streamflow peak in 91 years was recorded for streamgage 07289000 (at Vicksburg, Mississippi), with an associated AEP of 0.8 percent.</p><p>Trends in peak streamflow were analyzed for 98 streamgages, with 67 streamgages having upward trends, 31 with downward trends, and zero with no trend. Trends in annual runoff volume were analyzed for 182 streamgages, with 145 streamgages having upward trends, 36 with downward trends, and 1 with no trend. The trend analyses used descriptive methods that did not include measures of statistical significance. A dichotomous spatial distribution in trends was apparent for both peak streamflow and annual runoff volume, with a small number of streamgages in the northwestern part of the study area having downward trends and most streamgages in the eastern part of the study area having upward trends.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1798D","usgsCitation":"Driscoll, D.G., Southard, R.E., Koenig, T.A., Bender, D.A., and Holmes, R.R., 2014, Annual exceedance probabilities and trends for peak streamflows and annual runoff volumes for the Central United States during the 2011 floods: U.S. Geological Survey Professional Paper 1798, iv, 89 p., https://doi.org/10.3133/pp1798D.","productDescription":"iv, 89 p.","numberOfPages":"98","onlineOnly":"Y","ipdsId":"IP-049178","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":284205,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1798d/pdf/pp1798d.pdf"},{"id":284204,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1798d/"},{"id":284206,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1798d.jpg"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","contact":"<p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4d4ee4b0b290850f1776","contributors":{"authors":[{"text":"Driscoll, Daniel G. dgdrisco@usgs.gov","contributorId":1558,"corporation":false,"usgs":true,"family":"Driscoll","given":"Daniel","email":"dgdrisco@usgs.gov","middleInitial":"G.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Southard, Rodney E. 0000-0001-8024-9698 southard@usgs.gov","orcid":"https://orcid.org/0000-0001-8024-9698","contributorId":3880,"corporation":false,"usgs":true,"family":"Southard","given":"Rodney","email":"southard@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":489142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koenig, Todd A. 0000-0001-5635-0219 tkoenig@usgs.gov","orcid":"https://orcid.org/0000-0001-5635-0219","contributorId":4463,"corporation":false,"usgs":true,"family":"Koenig","given":"Todd","email":"tkoenig@usgs.gov","middleInitial":"A.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":489143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bender, David A. 0000-0002-1269-0948 dabender@usgs.gov","orcid":"https://orcid.org/0000-0002-1269-0948","contributorId":985,"corporation":false,"usgs":true,"family":"Bender","given":"David","email":"dabender@usgs.gov","middleInitial":"A.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489139,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holmes, Robert R. Jr. 0000-0002-5060-3999 bholmes@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":1624,"corporation":false,"usgs":true,"family":"Holmes","given":"Robert","suffix":"Jr.","email":"bholmes@usgs.gov","middleInitial":"R.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":489141,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}