{"pageNumber":"1189","pageRowStart":"29700","pageSize":"25","recordCount":165309,"records":[{"id":70191530,"text":"70191530 - 2015 - Efforts to monitor and characterize the recent increasing seismicity in central Oklahoma","interactions":[],"lastModifiedDate":"2017-10-17T11:32:43","indexId":"70191530","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3568,"text":"The Leading Edge","active":true,"publicationSubtype":{"id":10}},"title":"Efforts to monitor and characterize the recent increasing seismicity in central Oklahoma","docAbstract":"

The sharp increase in seismicity over a broad region of central Oklahoma has raised concerns regarding the source of the activity and its potential hazard to local communities and energy-industry infrastructure. Efforts to monitor and characterize the earthquake sequences in central Oklahoma are reviewed. Since early 2010, numerous organizations have deployed temporary portable seismic stations in central Oklahoma to record the evolving seismicity. A multiple-event relocation method is applied to produce a catalog of central Oklahoma earthquakes from late 2009 into early 2015. Regional moment tensor (RMT) source parameters were determined for the largest and best-recorded earthquakes. Combining RMT results with relocated seismicity enabled determination of the length, depth, and style of faulting occurring on reactivated subsurface fault systems. It was found that the majority of earthquakes occur on near-vertical, optimally oriented (northeast-southwest and northwest-southeast) strike-slip faults in the shallow crystalline basement. In 2014, 17 earthquakes occurred with magnitudes of 4 or larger. It is suggested that these recently reactivated fault systems pose the greatest potential hazard to the region.

","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/tle34060628.1","usgsCitation":"McNamara, D.E., Rubinstein, J.L., Myers, E., Smoczyk, G.M., Benz, H.M., Williams, R., Hayes, G.P., Wilson, D.C., Herrmann, R.B., McMahon, N.D., Aster, R., Bergman, E., Holland, A., and Earle, P.S., 2015, Efforts to monitor and characterize the recent increasing seismicity in central Oklahoma: The Leading Edge, v. 34, no. 6, p. 628-639, https://doi.org/10.1190/tle34060628.1.","productDescription":"9 p.","startPage":"628","endPage":"639","ipdsId":"IP-066432","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":346684,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": 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jrubinstein@usgs.gov","orcid":"https://orcid.org/0000-0003-1274-6785","contributorId":2404,"corporation":false,"usgs":true,"family":"Rubinstein","given":"Justin","email":"jrubinstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":712638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Myers, Emma ekmyers@usgs.gov","contributorId":197125,"corporation":false,"usgs":true,"family":"Myers","given":"Emma","email":"ekmyers@usgs.gov","affiliations":[],"preferred":true,"id":712639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smoczyk, Gregory M. 0000-0002-6591-4060 gsmoczyk@usgs.gov","orcid":"https://orcid.org/0000-0002-6591-4060","contributorId":5239,"corporation":false,"usgs":true,"family":"Smoczyk","given":"Gregory","email":"gsmoczyk@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science 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ghayes@usgs.gov","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":147556,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin","email":"ghayes@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712643,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712644,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Herrmann, Robert B. rherrmann@usgs.gov","contributorId":5609,"corporation":false,"usgs":true,"family":"Herrmann","given":"Robert","email":"rherrmann@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":712779,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McMahon, Nicole D 0000-0003-0308-3705 nmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0003-0308-3705","contributorId":5811,"corporation":false,"usgs":true,"family":"McMahon","given":"Nicole","email":"nmcmahon@usgs.gov","middleInitial":"D","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712780,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Aster, R.C.","contributorId":26894,"corporation":false,"usgs":true,"family":"Aster","given":"R.C.","affiliations":[],"preferred":false,"id":712781,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bergman, E.","contributorId":84289,"corporation":false,"usgs":true,"family":"Bergman","given":"E.","affiliations":[],"preferred":false,"id":712782,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Holland, Austin 0000-0002-7843-1981 aaholland@usgs.gov","orcid":"https://orcid.org/0000-0002-7843-1981","contributorId":173969,"corporation":false,"usgs":true,"family":"Holland","given":"Austin","email":"aaholland@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712783,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Earle, Paul S. 0000-0002-3500-017X pearle@usgs.gov","orcid":"https://orcid.org/0000-0002-3500-017X","contributorId":173551,"corporation":false,"usgs":true,"family":"Earle","given":"Paul","email":"pearle@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712645,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70100559,"text":"70100559 - 2015 - On a report that the 2012 M 6.0 earthquake in Italy was predicted after seeing an unusual cloud formation","interactions":[],"lastModifiedDate":"2021-03-19T11:48:44.692877","indexId":"70100559","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2824,"text":"Natural Hazards and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"On a report that the 2012 M 6.0 earthquake in Italy was predicted after seeing an unusual cloud formation","docAbstract":"

Several recently published reports have suggested that semi-stationary linear-cloud formations might be causally precursory to earthquakes. We examine the report of Guangmeng and Jie (2013), who claim to have predicted the 2012 M 6.0 earthquake in the Po Valley of northern Italy after seeing a satellite photograph (a digital image) showing a linear-cloud formation over the eastern Apennine Mountains of central Italy. From inspection of 4 years of satellite images we find numerous examples of linear-cloud formations over Italy. A simple test shows no obvious statistical relationship between the occurrence of these cloud formations and earthquakes that occurred in and around Italy. All of the linear-cloud formations we have identified in satellite images, including that which Guangmeng and Jie (2013) claim to have used to predict the 2012 earthquake, appear to be orographic – formed by the interaction of moisture-laden wind flowing over mountains. Guangmeng and Jie (2013) have not clearly stated how linear-cloud formations can be used to predict the size, location, and time of an earthquake, and they have not published an account of all of their predictions (including any unsuccessful predictions). We are skeptical of the validity of the claim by Guangmeng and Jie (2013) that they have managed to predict any earthquakes.

","language":"English","publisher":"European Geosciences Union","doi":"10.5194/nhess-15-1061-2015","usgsCitation":"Thomas, J., Masci, F., and Love, J.J., 2015, On a report that the 2012 M 6.0 earthquake in Italy was predicted after seeing an unusual cloud formation: Natural Hazards and Earth System Sciences, v. 15, p. 1061-1068, https://doi.org/10.5194/nhess-15-1061-2015.","productDescription":"8 p.","startPage":"1061","endPage":"1068","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055913","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":472053,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/nhess-15-1061-2015","text":"Publisher Index Page"},{"id":325024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[15.52038,38.23116],[15.16024,37.44405],[15.3099,37.13422],[15.09999,36.61999],[14.33523,36.99663],[13.82673,37.10453],[12.431,37.61295],[12.57094,38.12638],[13.74116,38.03497],[14.76125,38.14387],[15.52038,38.23116]]],[[[9.21001,41.20999],[9.80998,40.50001],[9.66952,39.17738],[9.21482,39.24047],[8.80694,38.90662],[8.4283,39.17185],[8.38825,40.37831],[8.16,40.95001],[8.70999,40.89998],[9.21001,41.20999]]],[[[12.37649,46.76756],[13.80648,46.50931],[13.69811,46.01678],[13.93763,45.59102],[13.14161,45.73669],[12.32858,45.38178],[12.38387,44.88537],[12.26145,44.60048],[12.58924,44.09137],[13.52691,43.58773],[14.02982,42.76101],[15.14257,41.95514],[15.92619,41.96132],[16.1699,41.74029],[15.88935,41.54108],[16.785,41.17961],[17.51917,40.87714],[18.37669,40.35562],[18.48025,40.16887],[18.29339,39.81077],[17.73838,40.27767],[16.8696,40.44223],[16.44874,39.7954],[17.17149,39.4247],[17.05284,38.90287],[16.63509,38.84357],[16.10096,37.9859],[15.68409,37.90885],[15.68796,38.21459],[15.89198,38.75094],[16.10933,38.96455],[15.71881,39.54407],[15.41361,40.04836],[14.9985,40.17295],[14.70327,40.60455],[14.06067,40.78635],[13.62799,41.18829],[12.88808,41.25309],[12.10668,41.70453],[11.19191,42.35543],[10.51195,42.93146],[10.20003,43.92001],[9.70249,44.03628],[8.88895,44.36634],[8.42856,44.23123],[7.85077,43.76715],[7.43518,43.69384],[7.5496,44.1279],[7.00756,44.25477],[6.74996,45.02852],[7.09665,45.3331],[6.80236,45.70858],[6.84359,45.99115],[7.27385,45.77695],[7.75599,45.82449],[8.31663,46.16364],[8.48995,46.00515],[8.96631,46.03693],[9.18288,46.44021],[9.92284,46.3149],[10.36338,46.48357],[10.4427,46.89355],[11.04856,46.75136],[11.16483,46.94158],[12.15309,47.11539],[12.37649,46.76756]]]]},\"properties\":{\"name\":\"Italy\"}}]}","volume":"15","noUsgsAuthors":false,"publicationDate":"2015-05-27","publicationStatus":"PW","scienceBaseUri":"5784c341e4b0e02680be59aa","contributors":{"authors":[{"text":"Thomas, J.N.","contributorId":20988,"corporation":false,"usgs":false,"family":"Thomas","given":"J.N.","email":"","affiliations":[],"preferred":false,"id":518666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Masci, F.","contributorId":118241,"corporation":false,"usgs":false,"family":"Masci","given":"F.","email":"","affiliations":[],"preferred":false,"id":518667,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":518665,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70177791,"text":"70177791 - 2015 - Pressure disequilibria induced by rapid valve closure in noble gas extraction lines","interactions":[],"lastModifiedDate":"2016-10-21T12:59:13","indexId":"70177791","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Pressure disequilibria induced by rapid valve closure in noble gas extraction lines","docAbstract":"

Pressure disequilibria during rapid valve closures can affect calculated molar quantities for a range of gas abundance measurements (e.g., K-Ar geochronology, (U-Th)/He geochronology, noble gas cosmogenic chronology). Modeling indicates this effect in a system with a 10 L reservoir reaches a bias of 1% before 1000 pipette aliquants have been removed from the system, and a bias of 10% before 10,000 aliquants. Herein we explore the causes and effects of this problem, which is the result of volume changes during valve closure. We also present a solution in the form of an electropneumatic pressure regulator that can precisely control valve motion. This solution reduces the effect to ∼0.3% even after 10,000 aliquants have been removed from a 10 L reservoir.

","language":"English","publisher":"AGU Publications","doi":"10.1002/2015GC005823","usgsCitation":"Morgan, L.E., and Davidheiser-Kroll, B., 2015, Pressure disequilibria induced by rapid valve closure in noble gas extraction lines: Geochemistry, Geophysics, Geosystems, v. 16, no. 6, p. 1923-1931, https://doi.org/10.1002/2015GC005823.","productDescription":"9 p.","startPage":"1923","endPage":"1931","ipdsId":"IP-063877","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":490017,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gc005823","text":"Publisher Index Page"},{"id":330316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-25","publicationStatus":"PW","scienceBaseUri":"5810c6e9e4b0f497e797345d","contributors":{"authors":[{"text":"Morgan, Leah E. 0000-0001-9930-524X lemorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-9930-524X","contributorId":176174,"corporation":false,"usgs":true,"family":"Morgan","given":"Leah","email":"lemorgan@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":651814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davidheiser-Kroll, Brett","contributorId":176175,"corporation":false,"usgs":false,"family":"Davidheiser-Kroll","given":"Brett","email":"","affiliations":[],"preferred":false,"id":651815,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70179098,"text":"70179098 - 2015 - Testing hypotheses on distribution shifts and changes in phenology of imperfectly detectable species","interactions":[],"lastModifiedDate":"2016-12-16T09:23:28","indexId":"70179098","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Testing hypotheses on distribution shifts and changes in phenology of imperfectly detectable species","docAbstract":"
  1. With ongoing climate change, many species are expected to shift their spatial and temporal distributions. To document changes in species distribution and phenology, detection/non-detection data have proven very useful. Occupancy models provide a robust way to analyse such data, but inference is usually focused on species spatial distribution, not phenology.
  2. We present a multi-season extension of the staggered-entry occupancy model of Kendall et al. (2013, Ecology, 94, 610), which permits inference about the within-season patterns of species arrival and departure at sampling sites. The new model presented here allows investigation of species phenology and spatial distribution across years, as well as site extinction/colonization dynamics.
  3. We illustrate the model with two data sets on European migratory passerines and one data set on North American treefrogs. We show how to derive several additional phenological parameters, such as annual mean arrival and departure dates, from estimated arrival and departure probabilities.
  4. Given the extent of detection/non-detection data that are available, we believe that this modelling approach will prove very useful to further understand and predict species responses to climate change.
","language":"English","publisher":"Wiley","doi":"10.1111/2041-210X.12362","usgsCitation":"Chambert, T.A., Kendall, W.L., Hines, J., Nichols, J., Pedrini, P., Waddle, J.H., Tavecchia, G., Walls, S.C., and Tenan, S., 2015, Testing hypotheses on distribution shifts and changes in phenology of imperfectly detectable species: Methods in Ecology and Evolution, v. 6, no. 6, p. 638-647, https://doi.org/10.1111/2041-210X.12362.","productDescription":"10 p.","startPage":"638","endPage":"647","ipdsId":"IP-061733","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":472056,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.12362","text":"Publisher Index Page"},{"id":332204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-28","publicationStatus":"PW","scienceBaseUri":"58550b82e4b02bdf681568b9","chorus":{"doi":"10.1111/2041-210x.12362","url":"http://dx.doi.org/10.1111/2041-210x.12362","publisher":"Wiley-Blackwell","authors":"Chambert Thierry, Kendall William L., Hines James E., Nichols James D., Pedrini Paolo, Waddle J. Hardin, Tavecchia Giacomo, Walls Susan C., Tenan Simone","journalName":"Methods in Ecology and Evolution","publicationDate":"3/28/2015","auditedOn":"3/1/2015"},"contributors":{"authors":[{"text":"Chambert, Thierry A. 0000-0002-9450-9080 tchambert@usgs.gov","orcid":"https://orcid.org/0000-0002-9450-9080","contributorId":5973,"corporation":false,"usgs":true,"family":"Chambert","given":"Thierry","email":"tchambert@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":656041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, William L. wkendall@usgs.gov","contributorId":406,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"wkendall@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":656035,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hines, James E. jhines@usgs.gov","contributorId":3506,"corporation":false,"usgs":true,"family":"Hines","given":"James E.","email":"jhines@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":656042,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nichols, James D. jnichols@usgs.gov","contributorId":139087,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":656043,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pedrini, Paolo","contributorId":177517,"corporation":false,"usgs":false,"family":"Pedrini","given":"Paolo","email":"","affiliations":[],"preferred":false,"id":656044,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Waddle, J. Hardin 0000-0003-1940-2133 waddleh@usgs.gov","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":138953,"corporation":false,"usgs":true,"family":"Waddle","given":"J.","email":"waddleh@usgs.gov","middleInitial":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":656045,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tavecchia, Giacomo","contributorId":177518,"corporation":false,"usgs":false,"family":"Tavecchia","given":"Giacomo","email":"","affiliations":[],"preferred":false,"id":656046,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Walls, Susan C. 0000-0001-7391-9155 swalls@usgs.gov","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":2310,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","email":"swalls@usgs.gov","middleInitial":"C.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":656047,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tenan, Simone","contributorId":177519,"corporation":false,"usgs":false,"family":"Tenan","given":"Simone","email":"","affiliations":[],"preferred":false,"id":656048,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70178268,"text":"70178268 - 2015 - Biogeochemical aspects of uranium mineralization, mining, milling, and remediation","interactions":[],"lastModifiedDate":"2018-09-18T16:14:31","indexId":"70178268","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Biogeochemical aspects of uranium mineralization, mining, milling, and remediation","docAbstract":"

Natural uranium (U) occurs as a mixture of three radioactive isotopes: 238U, 235U, and 234U. Only 235U is fissionable and makes up about 0.7% of natural U, while 238U is overwhelmingly the most abundant at greater than 99% of the total mass of U. Prior to the 1940s, U was predominantly used as a coloring agent, and U-bearing ores were mined mainly for their radium (Ra) and/or vanadium (V) content; the bulk of the U was discarded with the tailings (Finch et al., 1972). Once nuclear fission was discovered, the economic importance of U increased greatly. The mining and milling of U-bearing ores is the first step in the nuclear fuel cycle, and the contact of residual waste with natural water is a potential source of contamination of U and associated elements to the environment. Uranium is mined by three basic methods: surface (open pit), underground, and solution mining (in situ leaching or in situ recovery), depending on the deposit grade, size, location, geology and economic considerations (Abdelouas, 2006). Solid wastes at U mill tailings (UMT) sites can include both standard tailings (i.e., leached ore rock residues) and solids generated on site by waste treatment processes. The latter can include sludge or “mud” from neutralization of acidic mine/mill effluents, containing Fe and a range of coprecipitated constituents, or barium sulfate precipitates that selectively remove Ra (e.g., Carvalho et al., 2007). In this chapter, we review the hydrometallurgical processes by which U is extracted from ore, the biogeochemical processes that can affect the fate and transport of U and associated elements in the environment, and possible remediation strategies for site closure and aquifer restoration.

This paper represents the fourth in a series of review papers from the U.S. Geological Survey (USGS) on geochemical aspects of UMT management that span more than three decades. The first paper (Landa, 1980) in this series is a primer on the nature of tailings and radionuclide mobilization from them. The second paper (Landa, 1999) includes coverage of research carried out under the U.S. Department of Energy’s Uranium Mill Tailings Remedial Action Program (UMTRA). The third paper (Landa, 2004) reflects the increased focus of researchers on biotic effects in UMT environs. This paper expands the focus to U mining, milling, and remedial actions, and includes extensive coverage of the increasingly important alkaline in situ recovery and groundwater restoration.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2014.07.022","usgsCitation":"Campbell, K.M., Gallegos, T.J., and Landa, E.R., 2015, Biogeochemical aspects of uranium mineralization, mining, milling, and remediation: Applied Geochemistry, v. 57, p. 206-235, https://doi.org/10.1016/j.apgeochem.2014.07.022.","productDescription":"30 p.","startPage":"206","endPage":"235","ipdsId":"IP-053469","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":331114,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"582ecff0e4b04d580bd43534","contributors":{"authors":[{"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":653459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallegos, Tanya J. 0000-0003-3350-6473 tgallegos@usgs.gov","orcid":"https://orcid.org/0000-0003-3350-6473","contributorId":2206,"corporation":false,"usgs":true,"family":"Gallegos","given":"Tanya","email":"tgallegos@usgs.gov","middleInitial":"J.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":654048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landa, Edward R. erlanda@usgs.gov","contributorId":2112,"corporation":false,"usgs":true,"family":"Landa","given":"Edward","email":"erlanda@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":654049,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191949,"text":"70191949 - 2015 - Application of science-based restoration planning to a desert river system","interactions":[],"lastModifiedDate":"2017-10-26T14:13:13","indexId":"70191949","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Application of science-based restoration planning to a desert river system","docAbstract":"

Persistence of many desert river species is threatened by a suite of impacts linked to water infrastructure projects that provide human water security where water is scarce. Many desert rivers have undergone regime shifts from spatially and temporally dynamic ecosystems to more stable systems dominated by homogenous physical habitat. Restoration of desert river systems could aid in biodiversity conservation, but poses formidable challenges due to multiple threats and the infeasibility of recovery to pre-development conditions. The challenges faced in restoring desert rivers can be addressed by incorporating scientific recommendations into restoration planning efforts at multiple stages, as demonstrated here through an example restoration project. In particular, use of a watershed-scale planning process can identify data gaps and irreversible constraints, which aid in developing achievable restoration goals and objectives. Site-prioritization focuses limited the resources for restoration on areas with the greatest potential to improve populations of target organisms. Investment in research to understand causes of degradation, coupled with adoption of a guiding vision is critical for identifying feasible restoration actions that can enhance river processes. Setting monitoring as a project goal, developing hypotheses for expected outcomes, and implementing restoration as an experimental design will facilitate adaptive management and learning from project implementation. Involvement of scientists and managers during all planning stages is critical for developing process-based restoration actions and an implementation plan to maximize learning. The planning process developed here provides a roadmap for use of scientific recommendations in future efforts to recover dynamic processes in imperiled riverine ecosystems.

","language":"English","publisher":"Springer","doi":"10.1007/s00267-015-0481-5","usgsCitation":"Laub, B.G., Jimenez, J., and Budy, P., 2015, Application of science-based restoration planning to a desert river system: Environmental Management, v. 55, no. 6, p. 1246-1261, https://doi.org/10.1007/s00267-015-0481-5.","productDescription":"16 p.","startPage":"1246","endPage":"1261","ipdsId":"IP-053441","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":347487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"San Rafael River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.5606689453125,\n 38.361041528596026\n ],\n [\n -110.0555419921875,\n 38.361041528596026\n ],\n [\n -110.0555419921875,\n 39.69239407904182\n ],\n [\n -111.5606689453125,\n 39.69239407904182\n ],\n [\n -111.5606689453125,\n 38.361041528596026\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"55","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-08","publicationStatus":"PW","scienceBaseUri":"5a07eb5de4b09af898c8ccdb","contributors":{"authors":[{"text":"Laub, Brian G.","contributorId":198569,"corporation":false,"usgs":false,"family":"Laub","given":"Brian","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":716424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jimenez, Justin","contributorId":198570,"corporation":false,"usgs":false,"family":"Jimenez","given":"Justin","email":"","affiliations":[],"preferred":false,"id":716425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Budy, Phaedra E. 0000-0002-9918-1678 pbudy@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":140028,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra","email":"pbudy@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":713771,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70182182,"text":"70182182 - 2015 - Aspect-dependent soil saturation and insight into debris-flow initiation during extreme rainfall in the Colorado Front Range","interactions":[],"lastModifiedDate":"2017-02-20T11:35:54","indexId":"70182182","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Aspect-dependent soil saturation and insight into debris-flow initiation during extreme rainfall in the Colorado Front Range","docAbstract":"

Hydrologic processes during extreme rainfall events are poorly characterized because of the rarity of measurements. Improved understanding of hydrologic controls on natural hazards is needed because of the potential for substantial risk during extreme precipitation events. We present field measurements of the degree of soil saturation and estimates of available soil-water storage during the September 2013 Colorado extreme rainfall event at burned (wildfire in 2010) and unburned hillslopes with north- and south-facing slope aspects. Soil saturation was more strongly correlated with slope aspect than with recent fire history; south-facing hillslopes became fully saturated while north-facing hillslopes did not. Our results suggest multiple explanations for why aspect-dependent hydrologic controls favor saturation development on south-facing slopes, causing reductions in effective stress and triggering of slope failures during extreme rainfall. Aspect-dependent hydrologic behavior may result from (1) a larger gravel and stone fraction, and hence lower soil-water storage capacity, on south-facing slopes, and (2) lower weathered-bedrock permeability on south-facing slopes, because of lower tree density and associated deep roots penetrating bedrock as well as less intense weathering, inhibiting soil drainage.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/G36741.1","usgsCitation":"Ebel, B.A., Rengers, F., and Tucker, G.E., 2015, Aspect-dependent soil saturation and insight into debris-flow initiation during extreme rainfall in the Colorado Front Range: Geology, v. 43, no. 8, p. 659-662, https://doi.org/10.1130/G36741.1.","productDescription":"4 p.","startPage":"659","endPage":"662","ipdsId":"IP-065569","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":335827,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-23","publicationStatus":"PW","scienceBaseUri":"58ac0e2fe4b0ce4410e7d5fc","contributors":{"authors":[{"text":"Ebel, Brian A. 0000-0002-5413-3963 bebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":2557,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian","email":"bebel@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":669910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rengers, Francis K.","contributorId":181893,"corporation":false,"usgs":false,"family":"Rengers","given":"Francis K.","affiliations":[],"preferred":false,"id":669911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tucker, Gregory E.","contributorId":177811,"corporation":false,"usgs":false,"family":"Tucker","given":"Gregory","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":669912,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70182185,"text":"70182185 - 2015 - Suburbanization, estrogen contamination, and sex ratio in wild amphibian populations","interactions":[],"lastModifiedDate":"2018-09-04T15:47:41","indexId":"70182185","displayToPublicDate":"2015-06-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Suburbanization, estrogen contamination, and sex ratio in wild amphibian populations","docAbstract":"

Research on endocrine disruption in frog populations, such as shifts in sex ratios and feminization of males, has predominantly focused on agricultural pesticides. Recent evidence suggests that suburban landscapes harbor amphibian populations exhibiting similar levels of endocrine disruption; however the endocrine disrupting chemical (EDC) sources are unknown. Here, we show that sex ratios of metamorphosing frogs become increasingly female-dominated along a suburbanization gradient. We further show that suburban ponds are frequently contaminated by the classical estrogen estrone and a variety of EDCs produced by plants (phytoestrogens), and that the diversity of organic EDCs is correlated with the extent of developed land use and cultivated lawn and gardens around a pond. Our work also raises the possibility that trace-element contamination associated with human land use around suburban ponds may be contributing to the estrogenic load within suburban freshwaters and constitutes another source of estrogenic exposure for wildlife. These data suggest novel, unexplored pathways of EDC contamination in human-altered environments. In particular, we propose that vegetation changes associated with suburban neighborhoods (e.g., from forests to lawns and ornamental plants) increase the distribution of phytoestrogens in surface waters. The result of frog sex ratios varying as a function of human land use implicates a role for environmental modulation of sexual differentiation in amphibians, which are assumed to only have genetic sex determination. Overall, we show that endocrine disruption is widespread in suburban frog populations and that the causes are likely diverse.

","language":"English","publisher":"PNAS","doi":"10.1073/pnas.1501065112","usgsCitation":"Lambert, M.R., Giller, G.S., Barber, L.B., Fitzgerald, K.C., and Skelly, D.K., 2015, Suburbanization, estrogen contamination, and sex ratio in wild amphibian populations: Proceedings of the National Academy of Sciences of the United States of America, v. 112, no. 38, p. 11881-11886, https://doi.org/10.1073/pnas.1501065112.","productDescription":"6 p.","startPage":"11881","endPage":"11886","ipdsId":"IP-062730","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":472068,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1501065112","text":"External Repository"},{"id":335838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","issue":"38","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-08","publicationStatus":"PW","scienceBaseUri":"58ac0e2ee4b0ce4410e7d5fa","contributors":{"authors":[{"text":"Lambert, Max R.","contributorId":181897,"corporation":false,"usgs":false,"family":"Lambert","given":"Max","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":669920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Giller, Geoffrey S. J.","contributorId":181898,"corporation":false,"usgs":false,"family":"Giller","given":"Geoffrey","email":"","middleInitial":"S. J.","affiliations":[],"preferred":false,"id":669921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":669919,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fitzgerald, Kevin C. kcfitzgerald@usgs.gov","contributorId":5534,"corporation":false,"usgs":true,"family":"Fitzgerald","given":"Kevin","email":"kcfitzgerald@usgs.gov","middleInitial":"C.","affiliations":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"preferred":true,"id":669922,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Skelly, David K.","contributorId":181900,"corporation":false,"usgs":false,"family":"Skelly","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":669923,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70189467,"text":"70189467 - 2015 - Sediment source apportionment in Laurel Hill Creek, PA, using Bayesian chemical mass balance and isotope fingerprinting","interactions":[],"lastModifiedDate":"2017-07-13T13:29:57","indexId":"70189467","displayToPublicDate":"2015-05-30T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Sediment source apportionment in Laurel Hill Creek, PA, using Bayesian chemical mass balance and isotope fingerprinting","docAbstract":"

A Bayesian chemical mass balance (CMB) approach was used to assess the contribution of potential sources for fluvial samples from Laurel Hill Creek in southwest Pennsylvania. The Bayesian approach provides joint probability density functions of the sources' contributions considering the uncertainties due to source and fluvial sample heterogeneity and measurement error. Both elemental profiles of sources and fluvial samples and 13C and 15N isotopes were used for source apportionment. The sources considered include stream bank erosion, forest, roads and agriculture (pasture and cropland). Agriculture was found to have the largest contribution, followed by stream bank erosion. Also, road erosion was found to have a significant contribution in three of the samples collected during lower-intensity rain events. The source apportionment was performed with and without isotopes. The results were largely consistent; however, the use of isotopes was found to slightly increase the uncertainty in most of the cases. The correlation analysis between the contributions of sources shows strong correlations between stream bank and agriculture, whereas roads and forest seem to be less correlated to other sources. Thus, the method was better able to estimate road and forest contributions independently. The hypothesis that the contributions of sources are not seasonally changing was tested by assuming that all ten fluvial samples had the same source contributions. This hypothesis was rejected, demonstrating a significant seasonal variation in the sources of sediments in the stream.

","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10364","usgsCitation":"Stewart, H., Massoudieh, A., and Gellis, A.C., 2015, Sediment source apportionment in Laurel Hill Creek, PA, using Bayesian chemical mass balance and isotope fingerprinting: Hydrological Processes, v. 29, no. 11, p. 2545-2560, https://doi.org/10.1002/hyp.10364.","productDescription":"16 p.","startPage":"2545","endPage":"2560","ipdsId":"IP-060412","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":343802,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Laurel Hill Creek","volume":"29","issue":"11","noUsgsAuthors":false,"publicationDate":"2014-12-03","publicationStatus":"PW","scienceBaseUri":"596886a2e4b0d1f9f05f59c1","contributors":{"authors":[{"text":"Stewart, Heather","contributorId":173199,"corporation":false,"usgs":false,"family":"Stewart","given":"Heather","affiliations":[{"id":27188,"text":"Alaska Department of Natural Resources Division of Agriculture","active":true,"usgs":false}],"preferred":false,"id":704793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Massoudieh, Arash","contributorId":194625,"corporation":false,"usgs":false,"family":"Massoudieh","given":"Arash","email":"","affiliations":[],"preferred":false,"id":704794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":172245,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","email":"agellis@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":704795,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70147696,"text":"sim3329 - 2015 - Newberry Volcano's youngest lava flows","interactions":[],"lastModifiedDate":"2015-05-29T14:04:42","indexId":"sim3329","displayToPublicDate":"2015-05-29T13:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3329","title":"Newberry Volcano's youngest lava flows","docAbstract":"

Most of Newberry Volcano's youngest lava flows are found within the Newberry National Volcanic Monument in central Oregon. Established November 5, 1990, the monument is managed by the U.S. Forest Service as part of the Deschutes National Forest. Since 2011, a series of aerial surveys over the monument collected elevation data using lidar (light detection and ranging) technology, which uses lasers to directly measure the ground surface. These data record previously unseen detail in the volcano’s numerous lava flows and vents. On average, a laser return was collected from the ground’s surface every 2.17 feet (ft) with ±1.3 inches vertical precision.

\n

The central caldera is visible in the lower right corner of the center map, outlined by the black dashed line. The caldera collapsed about 75,000 years ago when massive explosions sent volcanic ash as far as the San Francisco Bay area and created a 3,000-ft-deep hole in the center of the volcano. The caldera is now partly refilled by Paulina and East Lakes, and the byproducts from younger eruptions, including Newberry Volcano’s youngest rhyolitic lavas, shown in red and orange. The majority of Newberry Volcano’s many lava flows and cinder cones are blanketed by as much as 5 feet of volcanic ash from the catastrophic eruption of Mount Mazama that created Crater Lake caldera approximately 7,700 years ago. This ash supports abundant tree growth and obscures the youthful appearance of Newberry Volcano. Only the youngest volcanic vents and lava flows are well exposed and unmantled by volcanic ash. More than one hundred of these young volcanic vents and lava flows erupted 7,000 years ago during Newberry Volcano’s northwest rift zone eruption.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3329","usgsCitation":"Robinson, J., Donnelly-Nolan, J.M., and Jensen, R.A., 2015, Newberry Volcano's youngest lava flows: U.S. Geological Survey Scientific Investigations Map 3329, Map: 38.18 x 27.17 inches; Map: print quality, https://doi.org/10.3133/sim3329.","productDescription":"Map: 38.18 x 27.17 inches; Map: print quality","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-065129","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":300924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3329.jpg"},{"id":300921,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3329/"},{"id":300922,"rank":2,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3329/pdf/sim3329.pdf","text":"Map","size":"21.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Map"},{"id":300923,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3329/pdf/sim3329_high.pdf","text":"Map - 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2015 - Phytoplankton blooms in estuarine and coastal waters: Seasonal patterns and key species","interactions":[],"lastModifiedDate":"2017-10-30T10:02:30","indexId":"70148353","displayToPublicDate":"2015-05-29T09:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Phytoplankton blooms in estuarine and coastal waters: Seasonal patterns and key species","docAbstract":"

Phytoplankton blooms are dynamic phenomena of great importance to the functioning of estuarine and coastal ecosystems. We analysed a unique (large) collection of phytoplankton monitoring data covering 86 coastal sites distributed over eight regions in North America and Europe, with the aim of investigating common patterns in the seasonal timing and species composition of the blooms. The spring bloom was the most common seasonal pattern across all regions, typically occurring early (February–March) at lower latitudes and later (April–May) at higher latitudes. Bloom frequency, defined as the probability of unusually high biomass, ranged from 5 to 35% between sites and followed no consistent patterns across gradients of latitude, temperature, salinity, water depth, stratification, tidal amplitude or nutrient concentrations. Blooms were mostly dominated by a single species, typically diatoms (58% of the blooms) and dinoflagellates (19%). Diatom-dominated spring blooms were a common feature in most systems, although dinoflagellate spring blooms were also observed in the Baltic Sea. Blooms dominated by chlorophytes and cyanobacteria were only common in low salinity waters and occurred mostly at higher temperatures. Key bloom species across the eight regions included the diatoms Cerataulina pelagica and Dactyliosolen fragilissimus and dinoflagellates Heterocapsa triquetra and Prorocentrum cordatum. Other frequent bloom-forming taxa were diatom genera Chaetoceros, Coscinodiscus, Skeletonema, and Thalassiosira. Our meta-analysis shows that these 86 estuarine-coastal sites function as diatom-producing systems, the timing of that production varies widely, and that bloom frequency is not associated with environmental factors measured in monitoring programs. We end with a perspective on the limitations of conclusions derived from meta-analyses of phytoplankton time series, and the grand challenges remaining to understand the wide range of bloom patterns and processes that select species as bloom dominants in coastal waters.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2015.05.005","usgsCitation":"Carstensen, J., Klais, R., and Cloern, J.E., 2015, Phytoplankton blooms in estuarine and coastal waters: Seasonal patterns and key species: Estuarine, Coastal and Shelf Science, v. 162, p. 98-109, https://doi.org/10.1016/j.ecss.2015.05.005.","productDescription":"12 p.","startPage":"98","endPage":"109","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060088","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":472069,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pure.au.dk/portal/en/publications/be3e563a-d1bf-46c5-8f42-f6dbecef183e","text":"External Repository"},{"id":300917,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Baltic Sea, 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Summary

\n
    \n
  1. Extreme weather events have the potential to alter both short- and long-term population dynamics as well as community- and ecosystem-level function. Such events are rare and stochastic, making it difficult to fully document how organisms respond to them and predict the repercussions of similar events in the future.
    2. \n
  2. To improve our understanding of the mechanisms by which short-term events can incur long-term consequences, we documented the behavioural responses and fitness consequences for a long-distance migratory bird, the continental black-tailed godwit Limosa limosa limosa, resulting from a spring snowstorm and three-week period of record low temperatures.
    3. \n
  3. The event caused measurable responses at three spatial scales – continental, regional and local – including migratory delays (+19 days), reverse migrations (>90 km), elevated metabolic costs (+8·8% maintenance metabolic rate) and increased foraging rates (+37%).
    4. \n
  4. There were few long-term fitness consequences, however, and subsequent breeding seasons instead witnessed high levels of reproductive success and little evidence of carry-over effects.
    5. \n
  5. This suggests that populations with continued access to food, behavioural flexibility and time to dissipate the costs of the event can likely withstand the consequences of an extreme weather event. For populations constrained in one of these respects, though, extreme events may entail extreme ecological consequences.
    6. \n
","language":"English","publisher":"University Press","publisherLocation":"Cambridge, UK","doi":"10.1111/1365-2656.12381","usgsCitation":"Senner, N.R., Verhoeven, M.A., Abad-Gomez, J.M., Gutierrez, J.S., Hooijmeijer, J.C., Kentie, R., Masero, J.A., Tibbitts, T.L., and Piersma, T., 2015, When Siberia came to the Netherlands: The response of continental black-tailed godwits to a rare spring weather event: Journal of Animal Ecology, v. 84, no. 5, p. 1164-1176, https://doi.org/10.1111/1365-2656.12381.","productDescription":"13 p.","startPage":"1164","endPage":"1176","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061520","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":472070,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/1365-2656.12381","text":"External Repository"},{"id":318104,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"84","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-29","publicationStatus":"PW","scienceBaseUri":"56c4565de4b0946c652185fa","contributors":{"authors":[{"text":"Senner, Nathan R.","contributorId":140465,"corporation":false,"usgs":false,"family":"Senner","given":"Nathan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":620637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verhoeven, Mo A.","contributorId":166995,"corporation":false,"usgs":false,"family":"Verhoeven","given":"Mo","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":620675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abad-Gomez, Jose M.","contributorId":166996,"corporation":false,"usgs":false,"family":"Abad-Gomez","given":"Jose","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":620676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gutierrez, Jorge S.","contributorId":166997,"corporation":false,"usgs":false,"family":"Gutierrez","given":"Jorge","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":620677,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hooijmeijer, Jos C. E. W.","contributorId":64996,"corporation":false,"usgs":false,"family":"Hooijmeijer","given":"Jos","email":"","middleInitial":"C. E. W.","affiliations":[],"preferred":false,"id":620678,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kentie, Rosemarie","contributorId":74675,"corporation":false,"usgs":true,"family":"Kentie","given":"Rosemarie","email":"","affiliations":[],"preferred":false,"id":620679,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Masero, Jose A.","contributorId":166998,"corporation":false,"usgs":false,"family":"Masero","given":"Jose","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":620680,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592 ltibbitts@usgs.gov","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":140455,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T.","email":"ltibbitts@usgs.gov","middleInitial":"Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":620681,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Piersma, Theunis","contributorId":95369,"corporation":false,"usgs":true,"family":"Piersma","given":"Theunis","affiliations":[],"preferred":false,"id":620682,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70147393,"text":"fs20153036 - 2015 - The 3D Elevation Program: summary for Connecticut","interactions":[],"lastModifiedDate":"2015-05-29T13:26:14","indexId":"fs20153036","displayToPublicDate":"2015-05-28T16:30:00","publicationYear":"2015","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":"2015-3036","title":"The 3D Elevation Program: summary for Connecticut","docAbstract":"

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 Connecticut, elevation data are critical for coastal zone management, flood risk management, natural resources conservation, agriculture and precision farming, sea level rise and subsidence, 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.

\n

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 interferometric synthetic aperture radar (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, the Office of Management and Budget Circular A–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’s natural and constructed features.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153036","usgsCitation":"Carswell, W., 2015, The 3D Elevation Program: summary for Connecticut: U.S. Geological Survey Fact Sheet 2015-3036, 2 p., https://doi.org/10.3133/fs20153036.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-060779","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":300900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20153036.jpg"},{"id":300898,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2015/3036/"},{"id":300899,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3036/pdf/fs2015-3036.pdf","text":"Report","size":"296 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United 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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":545860,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70143863,"text":"sir20155040 - 2015 - Continuous monitoring of sediment and nutrients in the Illinois River at Florence, Illinois, 2012-13","interactions":[],"lastModifiedDate":"2015-05-28T17:07:43","indexId":"sir20155040","displayToPublicDate":"2015-05-28T16:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5040","title":"Continuous monitoring of sediment and nutrients in the Illinois River at Florence, Illinois, 2012-13","docAbstract":"

The Illinois River is the largest river in Illinois and is the primary contributing watershed for nitrogen, phosphorus, and suspended-sediment loading to the upper Mississippi River from Illinois. In addition to streamflow, the following water-quality constituents were monitored at the Illinois River at Florence, Illinois (U.S. Geological Survey station number 05586300), during May 2012–October 2013: phosphate, nitrate, turbidity, temperature, specific conductance, pH, and dissolved oxygen. The objectives of this monitoring were to (1) determine performance capabilities of the in-situ instruments; (2) collect continuous data that would provide an improved understanding of constituent characteristics during normal, low-, and high-flow periods and during different climatic and land-use seasons; (3) evaluate the ability to use continuous turbidity as a surrogate constituent to determine suspended-sediment concentrations; and (4) evaluate the ability to develop a regression model for total phosphorus using phosphate, turbidity, and other measured parameters. Reliable data collection was achieved, following some initial periods of instrument and data-communication difficulties. The resulting regression models for suspended sediment had coefficient of determination (R2) values of about 0.9. Nitrate plus nitrite loads computed using continuous data were found to be approximately 8 percent larger than loads computed using traditional discrete-sampling based models. A regression model for total phosphorus was developed by using historic orthophosphate data (important during periods of low flow and low concentrations) and historic suspended-sediment data (important during periods of high flow and higher concentrations). The R2of the total phosphorus regression model using orthophosphorus and suspended sediment was 0.8. Data collection and refinement of the regression models is ongoing.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155040","collaboration":"Prepared in cooperation with the Illinois Environmental Protection Agency","usgsCitation":"Terrio, P.J., Straub, T., Domanski, M.M., and Siudyla, N.A., 2015, Continuous monitoring of sediment and nutrients in the Illinois River at Florence, Illinois, 2012-13: U.S. Geological Survey Scientific Investigations Report 2015-5040, vii, 61 p., https://doi.org/10.3133/sir20155040.","productDescription":"vii, 61 p.","numberOfPages":"74","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2012-05-01","temporalEnd":"2013-10-31","ipdsId":"IP-051216","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":300901,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5040/"},{"id":300902,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5040/pdf/sir2015-5040.pdf","text":"Report","size":"4.56 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":300903,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155040.jpg"}],"projection":"Albers Equal-Area Conic projection","country":"United States","state":"Illinois","city":"Florence","otherGeospatial":"Illinois River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.60956954956055,\n 39.636563184336524\n ],\n [\n -90.6097412109375,\n 39.62783759836399\n ],\n [\n -90.60416221618652,\n 39.627903705425176\n ],\n [\n -90.60502052307129,\n 39.63662928306019\n ],\n [\n -90.60956954956055,\n 39.636563184336524\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55682e1ae4b0d9246a9f60de","contributors":{"authors":[{"text":"Terrio, Paul J. 0000-0002-1515-9570 pjterrio@usgs.gov","orcid":"https://orcid.org/0000-0002-1515-9570","contributorId":3313,"corporation":false,"usgs":true,"family":"Terrio","given":"Paul","email":"pjterrio@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Straub, Timothy D. 0000-0002-5896-0851 tdstraub@usgs.gov","orcid":"https://orcid.org/0000-0002-5896-0851","contributorId":2273,"corporation":false,"usgs":true,"family":"Straub","given":"Timothy D.","email":"tdstraub@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":543038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Domanski, Marian M. 0000-0002-0468-314X mdomanski@usgs.gov","orcid":"https://orcid.org/0000-0002-0468-314X","contributorId":5035,"corporation":false,"usgs":true,"family":"Domanski","given":"Marian","email":"mdomanski@usgs.gov","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":547816,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Siudyla, Nicholas A. nsiudyla@usgs.gov","contributorId":5420,"corporation":false,"usgs":true,"family":"Siudyla","given":"Nicholas","email":"nsiudyla@usgs.gov","middleInitial":"A.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":543039,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70141032,"text":"fs20153001 - 2015 - Water resources of East Baton Rouge Parish, Louisiana","interactions":[],"lastModifiedDate":"2015-05-28T16:18:22","indexId":"fs20153001","displayToPublicDate":"2015-05-28T15:30:00","publicationYear":"2015","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":"2015-3001","title":"Water resources of East Baton Rouge Parish, Louisiana","docAbstract":"

Information concerning the availability, use, and quality of water in East Baton Rouge Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. Information on the availability, past and current use, use trends, and water quality from groundwater and surface-water sources in the parish is presented. Previously published reports and data stored in the U.S. Geological Survey’s National Water Information System (http://waterdata.usgs.gov/nwis) are the primary sources of the information presented here.

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Ellsworth Air Force Base is an Air Combat Command located approximately 10 miles northeast of Rapid City, South Dakota. Ellsworth Air Force Base occupies about 6,000 acres within Meade and Pennington Counties, and includes runways, airfield operations, industrial areas, housing, and recreational facilities. Fuels Area C within Ellsworth Air Force Base is a fuels storage area that is used to support the mission of the base. In fall of 2013, the U.S. Geological Survey began a study in cooperation with the U.S. Air Force, Ellsworth Air Force Base, to estimate groundwater-flow direction, select locations for permanent monitoring wells, and install and sample monitoring wells for petroleum hydrocarbon compounds within Fuels Area C. Nine monitoring wells were installed for the study within Fuels Area C during November 4–7, 2014. Soil core samples were collected during installation of eight of the monitoring wells and analyzed for benzene, toluene, ethylbenzene, total xylenes, naphthalene,m- and p-xylene, o-xylene, and gasoline- and diesel-range organic compounds. Groundwater samples were collected from seven of the nine wells (two of the monitoring wells did not contain enough water to sample or were dry) during November 19–21, 2014, and analyzed for select physical properties, benzene, toluene, ethylbenzene, total xylenes, naphthalene, m- and p-xylene, o-xylene, and gasoline- and diesel-range organic compounds. This report describes the nine monitoring well locations and presents the soil- and groundwater-quality data collected in 2014 for this study.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds939","collaboration":"Prepared in cooperation with U.S. Air Force, Ellsworth Air Force Base","usgsCitation":"Bender, D.A., and Rowe, B.L., 2015, Soil- and groundwater-quality data for petroleum hydrocarbon compounds within Fuels Area C, Ellsworth Air Force Base, South Dakota, 2014: U.S. Geological Survey Data Series 939, vi, 15 p., https://doi.org/10.3133/ds939.","productDescription":"vi, 15 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064094","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":300892,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds939.jpg"},{"id":300891,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0939/pdf/ds939.pdf","text":"Report","size":"2.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":300888,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0939/"}],"projection":"Albers Equal Area Conic projection","datum":"North American Datum of 1983","country":"United States","state":"South Dakota","otherGeospatial":"Ellsworth Air Force Base","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.08327913284302,\n 44.13234155159352\n ],\n [\n -103.08096170425415,\n 44.12996206658891\n ],\n [\n -103.08080077171326,\n 44.132295348913864\n ],\n [\n -103.08190584182739,\n 44.13234155159352\n ],\n [\n -103.08246374130249,\n 44.13274197330301\n ],\n [\n -103.08327913284302,\n 44.13234155159352\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55682e22e4b0d9246a9f60e8","contributors":{"authors":[{"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":547798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rowe, Barbara L. blrowe@usgs.gov","contributorId":2673,"corporation":false,"usgs":true,"family":"Rowe","given":"Barbara","email":"blrowe@usgs.gov","middleInitial":"L.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":547811,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70148266,"text":"70148266 - 2015 - Integrated Environmental Modelling: Human decisions, human challenges","interactions":[],"lastModifiedDate":"2018-03-27T14:00:42","indexId":"70148266","displayToPublicDate":"2015-05-28T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5011,"text":"Geological Society of London Special Publications","active":true,"publicationSubtype":{"id":10}},"title":"Integrated Environmental Modelling: Human decisions, human challenges","docAbstract":"

Integrated Environmental Modelling (IEM) is an invaluable tool for understanding the complex, dynamic ecosystems that house our natural resources and control our environments. Human behaviour affects the ways in which the science of IEM is assembled and used for meaningful societal applications. In particular, human biases and heuristics reflect adaptation and experiential learning to issues with frequent, sharply distinguished, feedbacks. Unfortunately, human behaviour is not adapted to the more diffusely experienced problems that IEM typically seeks to address. Twelve biases are identified that affect IEM (and science in general). These biases are supported by personal observations and by the findings of behavioural scientists. A process for critical analysis is proposed that addresses some human challenges of IEM and solicits explicit description of (1) represented processes and information, (2) unrepresented processes and information, and (3) accounting for, and cognizance of, potential human biases. Several other suggestions are also made that generally complement maintaining attitudes of watchful humility, open-mindedness, honesty and transparent accountability. These suggestions include (1) creating a new area of study in the behavioural biogeosciences, (2) using structured processes for engaging the modelling and stakeholder communities in IEM, and (3) using ‘red teams’ to increase resilience of IEM constructs and use.

","language":"English","publisher":"The Geological Society of London","doi":"10.1144/SP408.9","usgsCitation":"Glynn, P.D., 2015, Integrated Environmental Modelling: Human decisions, human challenges: Geological Society of London Special Publications, v. 408, 22 p., https://doi.org/10.1144/SP408.9.","productDescription":"22 p.","numberOfPages":"22","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061573","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":472072,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1144/sp408.9","text":"Publisher Index Page"},{"id":300887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"408","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-21","publicationStatus":"PW","scienceBaseUri":"55682e22e4b0d9246a9f60e6","contributors":{"authors":[{"text":"Glynn, Pierre D. 0000-0001-8804-7003 pglynn@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7003","contributorId":2141,"corporation":false,"usgs":true,"family":"Glynn","given":"Pierre","email":"pglynn@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":547631,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70144009,"text":"fs20153031 - 2015 - The 3D Elevation Program: summary for Delaware","interactions":[],"lastModifiedDate":"2016-08-17T14:59:36","indexId":"fs20153031","displayToPublicDate":"2015-05-28T11:00:00","publicationYear":"2015","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":"2015-3031","title":"The 3D Elevation Program: summary for Delaware","docAbstract":"

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 Delaware, elevation data are critical for agriculture and precision farming, river and stream resource management, natural resources conservation, flood risk management, coastal zone management, geologic resource assessment and hazard mitigation, 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 publicly available coverage to support existing and emerging applications enabled by lidar data.

\n

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 interferometric synthetic aperture radar (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, the Office of Management and Budget Circular A–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’s natural and constructed features.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153031","usgsCitation":"Carswell, W., 2015, The 3D Elevation Program: summary for Delaware: U.S. Geological Survey Fact Sheet 2015-3031, 2 p., https://doi.org/10.3133/fs20153031.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-061951","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":300886,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20153031.jpg"},{"id":300884,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2015/3031/"},{"id":300885,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3031/pdf/fs2015-3031.pdf","text":"Report","size":"287 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United 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The objective of this report is to provide basic technical information regarding the CO2-EOR process, which is at the core of the assessment methodology, to estimate the technically recoverable oil within the fields of the identified sedimentary basins of the United States. Emphasis is on CO2-EOR because this is currently one technology being considered as an ultimate long-term geologic storage solution for CO2 owing to its economic profitability from incremental oil production offsetting the cost of carbon sequestration.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151071","usgsCitation":"Verma, M., 2015, Fundamentals of carbon dioxide-enhanced oil recovery (CO2-EOR): a supporting document of the assessment methodology for hydrocarbon recovery using CO2-EOR associated with carbon sequestration: U.S. Geological Survey Open-File Report 2015-1071, v, 19 p., https://doi.org/10.3133/ofr20151071.","productDescription":"v, 19 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-058212","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":300883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151071.jpg"},{"id":300879,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1071/"},{"id":300882,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1071/pdf/ofr2015-1071.pdf","text":"Report","size":"1.86 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55682e21e4b0d9246a9f60e4","contributors":{"authors":[{"text":"Verma, Mahendra K. mverma@usgs.gov","contributorId":1027,"corporation":false,"usgs":true,"family":"Verma","given":"Mahendra K.","email":"mverma@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":547793,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70103075,"text":"70103075 - 2015 - Age, growth rates, and paleoclimate studies of deep sea corals","interactions":[],"lastModifiedDate":"2016-01-26T09:29:06","indexId":"70103075","displayToPublicDate":"2015-05-28T10:34:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Age, growth rates, and paleoclimate studies of deep sea corals","docAbstract":"

Deep-water corals are some of the slowest growing, longest-lived skeletal accreting marine organisms. These habitat-forming species support diverse faunal assemblages that include commercially and ecologically important organisms. Therefore, effective management and conservation strategies for deep-sea corals can be informed by precise and accurate age, growth rate, and lifespan characteristics for proper assessment of vulnerability and recovery from perturbations. This is especially true for the small number of commercially valuable, and potentially endangered, species that are part of the black and precious coral fisheries (Tsounis et al. 2010). In addition to evaluating time scales of recovery from disturbance or exploitation, accurate age and growth estimates are essential for understanding the life history and ecology of these habitat-forming corals. Given that longevity is a key factor for population maintenance and fishery sustainability, partly due to limited and complex genetic flow among coral populations separated by great distances, accurate age structure for these deep-sea coral communities is essential for proper, long-term resource management.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The state of deep-sea coral and sponge ecosystems of the United States: 2015","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"NOAA","usgsCitation":"Prouty, N.G., Roark, E., Andrews, A., Robinson, L., Hill, T., Sherwood, O., Williams, B., Guilderson, T.P., and Fallon, S., 2015, Age, growth rates, and paleoclimate studies of deep sea corals, 22 p.","productDescription":"22 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044131","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":314865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":314863,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://deepseacoraldata.noaa.gov/library/2015-state-of-dsc-report-folder/Ch10_Spotlight_Prouty.pdf"},{"id":314864,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.coris.noaa.gov/activities/deepsea_coral_2015/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56a8a6bee4b0b28f1184dbdf","contributors":{"authors":[{"text":"Prouty, Nancy G","contributorId":119449,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"","middleInitial":"G","affiliations":[],"preferred":false,"id":518750,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roark, E. Brendan","contributorId":25464,"corporation":false,"usgs":true,"family":"Roark","given":"E. Brendan","affiliations":[],"preferred":false,"id":589763,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andrews, Allen","contributorId":152569,"corporation":false,"usgs":false,"family":"Andrews","given":"Allen","email":"","affiliations":[],"preferred":false,"id":589764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, Laura","contributorId":152570,"corporation":false,"usgs":false,"family":"Robinson","given":"Laura","affiliations":[],"preferred":false,"id":589765,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hill, Tessa","contributorId":152293,"corporation":false,"usgs":false,"family":"Hill","given":"Tessa","email":"","affiliations":[{"id":18898,"text":"University of California, Davis Bodega Marine Laboratory","active":true,"usgs":false}],"preferred":false,"id":589766,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sherwood, Owen","contributorId":152571,"corporation":false,"usgs":false,"family":"Sherwood","given":"Owen","email":"","affiliations":[],"preferred":false,"id":589767,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Williams, Branwen","contributorId":152572,"corporation":false,"usgs":false,"family":"Williams","given":"Branwen","email":"","affiliations":[],"preferred":false,"id":589768,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Guilderson, Thomas P.","contributorId":59121,"corporation":false,"usgs":true,"family":"Guilderson","given":"Thomas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":589769,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fallon, Stewart 0000-0002-8064-5903","orcid":"https://orcid.org/0000-0002-8064-5903","contributorId":152573,"corporation":false,"usgs":false,"family":"Fallon","given":"Stewart","email":"","affiliations":[],"preferred":false,"id":589770,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70148348,"text":"ofr20151038 - 2015 - Development of conceptual ecological models linking management of the Missouri River to pallid sturgeon population dynamics","interactions":[],"lastModifiedDate":"2015-05-28T10:23:39","indexId":"ofr20151038","displayToPublicDate":"2015-05-28T09:30:00","publicationYear":"2015","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":"2015-1038","title":"Development of conceptual ecological models linking management of the Missouri River to pallid sturgeon population dynamics","docAbstract":"

This report documents the process of developing and refining conceptual ecological models (CEMs) for linking river management to pallid sturgeon (Scaphirhynchus albus) population dynamics in the Missouri River. The refined CEMs are being used in the Missouri River Pallid Sturgeon Effects Analysis to organize, document, and formalize an understanding of pallid sturgeon population responses to past and future management alternatives. The general form of the CEMs, represented by a population-level model and component life-stage models, was determined in workshops held in the summer of 2013. Subsequently, the Missouri River Pallid Sturgeon Effects Analysis team designed a general hierarchical structure for the component models, refined the graphical structure, and reconciled variation among the components and between models developed for the upper river (Upper Missouri & Yellowstone Rivers) and the lower river (Missouri River downstream from Gavins Point Dam). Importance scores attributed to the relations between primary biotic characteristics and survival were used to define a candidate set of working dominant hypotheses about pallid sturgeon population dynamics. These CEMs are intended to guide research and adaptive-management actions to benefit pallid sturgeon populations in the Missouri River.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151038","collaboration":"Prepared in cooperation with the Missouri River Recovery Program","usgsCitation":"Jacobson, R.B., Parsley, M.J., Annis, M.L., Colvin, M., Welker, T.L., and James, D.A., 2015, Development of conceptual ecological models linking management of the Missouri River to pallid sturgeon population dynamics: U.S. Geological Survey Open-File Report 2015-1038, vi, 47 p., https://doi.org/10.3133/ofr20151038.","productDescription":"vi, 47 p.","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-056927","costCenters":[{"id":192,"text":"Columbia Environmental Research 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In managing fish populations, especially at-risk species, realistic mathematical models are needed to help predict population response to potential management actions in the context of environmental conditions and changing climate while effectively incorporating the stochastic nature of real world conditions. We provide a key component of such a model for the endangered pallid sturgeon (Scaphirhynchus albus) in the form of an individual-based bioenergetics model influenced not only by temperature but also by flow. This component is based on modification of a known individual-based bioenergetics model through incorporation of: the observed ontogenetic shift in pallid sturgeon diet from marcroinvertebrates to fish; the energetic costs of swimming under flowing-water conditions; and stochasticity. We provide an assessment of how differences in environmental conditions could potentially alter pallid sturgeon growth estimates, using observed temperature and velocity from channelized portions of the Lower Missouri River mainstem. We do this using separate relationships between the proportion of maximum consumption and fork length and swimming cost standard error estimates for fish captured above and below the Kansas River in the Lower Missouri River. Critical to our matching observed growth in the field with predicted growth based on observed environmental conditions was a two-step shift in diet from macroinvertebrates to fish.

","language":"English","publisher":"The Geological Society of London","doi":"10.1144/SP408.10","usgsCitation":"Wildhaber, M.L., Dey, R., Wikle, C.K., Moran, E.H., Anderson, C.J., and Franz, K.J., 2015, A stochastic bioenergetics model based approach to translating large river flow and temperature in to fish population responses: The pallid sturgeon example: Geological Society of London Special Publications, v. 408, p. 1-17, https://doi.org/10.1144/SP408.10.","productDescription":"18 p. 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2015 - Literature review of the potential effects of hydrogen peroxide on nitrogen oxidation efficiency of the biofilters of recirculating aquaculture systems (RAS) for freshwater finfish","interactions":[],"lastModifiedDate":"2015-05-27T16:09:30","indexId":"ofr20151096","displayToPublicDate":"2015-05-27T17:00:00","publicationYear":"2015","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":"2015-1096","title":"Literature review of the potential effects of hydrogen peroxide on nitrogen oxidation efficiency of the biofilters of recirculating aquaculture systems (RAS) for freshwater finfish","docAbstract":"

A comprehensive literature review was done for the effects of hydrogen peroxide (HP) on biofilter function in recirculating aquaculture systems (RAS) using these databases: ISI/Web of Knowledge, Scopus, and Pubmed. Inclusion and exclusion criteria were developed as the literature review was conducted. The initial search produced 5,748 potential citations. Once the literature search was complete, these 5,748 titles were screened for applicable papers using the inclusion and exclusion criteria. If the title contained any of the inclusion terms, it was retained. Titles of the remaining papers were then screened for exclusion terms. If the title contained one or more of the exclusion terms, it was eliminated from further consideration. This refined search produced 1,405 papers.

\n

After the initial screening, the remaining 1,405 papers underwent a second screening. Titles and abstracts (when available) were again read to verify that the topic of the paper was related to RAS. During the second screening, a second person verified that the papers proposed for elimination were not related to RAS. A combined reference list of the 512 remaining papers was created and submitted to the U.S. Geological Survey (USGS) Upper Midwest Environmental Sciences Center (UMESC) librarian in order to obtain the actual papers; electronic copies of those citations were obtained and reviewed. The UMESC librarian also received weekly updates from Scopus (a bibliographic database containing abstracts and citations for academic journal articles) using the search terms. Any resulting papers from those updates were screened using the inclusion criteria and relevant papers were requested. From those, 86 were cited in the literature review. An additional 11 papers from other search methods (e.g., mining references lists) also were obtained.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151096","usgsCitation":"Fredricks, K., 2015, Literature review of the potential effects of hydrogen peroxide on nitrogen oxidation efficiency of the biofilters of recirculating aquaculture systems (RAS) for freshwater finfish: U.S. Geological Survey Open-File Report 2015-1096, vii, 21 p., https://doi.org/10.3133/ofr20151096.","productDescription":"vii, 21 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-061724","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":300873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151096.jpg"},{"id":300871,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov//of/2015/1096/pdf/ofr2015-1096.pdf","text":"Report","size":"266 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":300872,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/of/2015/1097","text":"Open-File Report 2015-1097","description":"Open-File Report 2015-1097","linkHelpText":"Companion Report - Literature Review of the Potential Effects of Formalin on Nitrogen Oxidation Efficiency of the Biofilters of Recirculating Aquaculture Systems (RAS) for Freshwater Finfish"},{"id":300870,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov//of/2015/1096/"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5566dcb0e4b0d9246a9ec295","contributors":{"authors":[{"text":"Fredricks, Kim T. 0000-0003-2363-7891 kfredricks@usgs.gov","orcid":"https://orcid.org/0000-0003-2363-7891","contributorId":5163,"corporation":false,"usgs":true,"family":"Fredricks","given":"Kim T.","email":"kfredricks@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":546844,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70148022,"text":"ofr20151097 - 2015 - Literature review of the potential effects of formalin on nitrogen oxidation efficiency of the biofilters of recirculating aquaculture systems (RAS) for freshwater finfish","interactions":[],"lastModifiedDate":"2015-05-28T09:10:33","indexId":"ofr20151097","displayToPublicDate":"2015-05-27T17:00:00","publicationYear":"2015","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":"2015-1097","title":"Literature review of the potential effects of formalin on nitrogen oxidation efficiency of the biofilters of recirculating aquaculture systems (RAS) for freshwater finfish","docAbstract":"

A comprehensive literature review was done for the effects of formalin on biofilter function in recirculating aquaculture systems (RAS) using these databases: ISI/Web of Knowledge, Scopus, and Pubmed. Inclusion and exclusion criteria were developed as the literature review was conducted. The initial search produced 5,682 potential citations. Once the literature search was complete, these 5,682 titles were screened for applicable papers using the inclusion and exclusion criteria. If the title contained any of the inclusion terms, it was retained. Titles of the remaining papers were then screened for exclusion terms. If the title contained one or more of the exclusion terms, it was eliminated from further consideration. This refined search produced 1,287 papers.

\n

After the initial screening, the remaining 1,287 papers underwent a second screening. Titles and abstracts (when available) were again read to verify that the topic of the paper was related to RAS. During the second screening, a second person verified that the papers proposed for elimination were not related to RAS. A combined reference list of the 443 remaining papers was created and submitted to the U.S. Geological Survey (USGS) Upper Midwest Environmental Sciences Center (UMESC) librarian to obtain the actual papers; electronic copies of those citations were obtained and reviewed. The UMESC librarian also would receive weekly updates from Scopus (a bibliographic database containing abstracts and citations for academic journal articles) using the search terms. Any resulting papers from those updates also were screened using the inclusion criteria, and any relevant papers were requested. From those, 82 were cited in the literature review. An additional 10 references were obtained from weekly updates or reference mining other sources and were incorporated into the final literature review.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151097","usgsCitation":"Fredricks, K., 2015, Literature review of the potential effects of formalin on nitrogen oxidation efficiency of the biofilters of recirculating aquaculture systems (RAS) for freshwater finfish: U.S. Geological Survey Open-File Report 2015-1097, vii, 17 p., https://doi.org/10.3133/ofr20151097.","productDescription":"vii, 17 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-061726","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":300877,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151097.jpg"},{"id":300874,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1097/"},{"id":300875,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1097/pdf/ofr2015-1097.pdf","text":"Report","size":"405 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":300876,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/of/2015/1096","text":"Open-File Report 2015-1096","description":"Open-File Report 2015-1096","linkHelpText":"Companion Report - Literature Review of the Potential Effects of Hydrogen Peroxide on Nitrogen Oxidation Efficiency of the Biofilters of Recirculating Aquaculture Systems (RAS) for Freshwater Finfish"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5566dcafe4b0d9246a9ec293","contributors":{"authors":[{"text":"Fredricks, Kim T. 0000-0003-2363-7891 kfredricks@usgs.gov","orcid":"https://orcid.org/0000-0003-2363-7891","contributorId":5163,"corporation":false,"usgs":true,"family":"Fredricks","given":"Kim T.","email":"kfredricks@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":546845,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70148146,"text":"70148146 - 2015 - Fall spawning of Atlantic sturgeon in the Roanoke River, North Carolina","interactions":[],"lastModifiedDate":"2015-05-27T13:31:55","indexId":"70148146","displayToPublicDate":"2015-05-27T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Fall spawning of Atlantic sturgeon in the Roanoke River, North Carolina","docAbstract":"

In 2012, the National Oceanic and Atmospheric Administration (NOAA) declared Atlantic Sturgeon Acipenser oxyrinchus oxyrinchus to be threatened or endangered throughout its range in U.S. waters. Restoration of the subspecies will require much new information, particularly on the location and timing of spawning. We used a combination of acoustic telemetry and sampling with anchored artificial substrates (spawning pads) to detect fall (September–November) spawning in the Roanoke River in North Carolina. This population is included in the Carolina Distinct Population Segment, which was classified by NOAA as endangered. Sampling was done immediately below the first shoals encountered by anadromous fishes, near Weldon. Our collection of 38 eggs during the 21 d that spawning pads were deployed appears to be the first such collection (spring or fall) for wild-spawned Atlantic Sturgeon eggs. Based on egg development stages, estimated spawning dates were September 17–18 and 18–19 at water temperatures from 25.3°C to 24.3°C and river discharge from 55 to 297 m3/s. These observations about fall spawning and habitat use should aid in protecting critical habitats and planning research on Atlantic Sturgeon spawning in other rivers.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2014.965344","usgsCitation":"Smith, J.A., Hightower, J.E., and Flowers, H.J., 2015, Fall spawning of Atlantic sturgeon in the Roanoke River, North Carolina: Transactions of the American Fisheries Society, v. 144, no. 1, p. 48-54, https://doi.org/10.1080/00028487.2014.965344.","productDescription":"7 p.","startPage":"48","endPage":"54","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055820","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300862,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Roanoke River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.59171485900879,\n 36.4214896403675\n ],\n [\n -77.59171485900879,\n 36.42967346850678\n ],\n [\n -77.57493495941162,\n 36.42967346850678\n ],\n [\n -77.57493495941162,\n 36.4214896403675\n ],\n [\n -77.59171485900879,\n 36.4214896403675\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"144","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-02","publicationStatus":"PW","scienceBaseUri":"5566dca4e4b0d9246a9ec289","contributors":{"authors":[{"text":"Smith, Joseph A.","contributorId":140973,"corporation":false,"usgs":false,"family":"Smith","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":547773,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hightower, Joseph E. jhightower@usgs.gov","contributorId":835,"corporation":false,"usgs":true,"family":"Hightower","given":"Joseph","email":"jhightower@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flowers, H. Jared","contributorId":140974,"corporation":false,"usgs":false,"family":"Flowers","given":"H.","email":"","middleInitial":"Jared","affiliations":[],"preferred":false,"id":547774,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}