Limited information exists about exposure to influenza A viruses (IAVs) in many wild waterbird species, including loons. We analyzed serum samples from breeding adult Pacific (Gavia pacifica), Red-throated (Gavia stellata), and Yellow-billed (Gavia adamsii) loons sampled at three locations along the coast of Alaska, US from 2008 to 2017 to gain a better understanding of the potential role loons play in IAV ecology. We screened loon sera for IAV antibodies using three tests—blocking enzyme-linked immunosorbent assay (bELISA), agar gel immunodiffusion (AGID), and hemagglutination inhibition (HI)—and examined patterns in seroprevalence among species and sampling locations. We found evidence of IAV infection in all loon species and at all breeding locations, although concordance was imperfect among serological tests. Diagnostic tests yielded seroprevalence estimates of 24% (42/172) with bELISA, 8% (5/60) with AGID, and 6% (4/70) with HI. The IAV subtypes to which loon sera reacted using HI were consistent with those detected in waterfowl and gulls at other locations in Alaska, suggesting that loons may be exposed to IAV maintained in sympatric waterbirds. Our study provided evidence that loons inhabiting Alaska were exposed to IAV. However, given imperfect concordance among serologic tests, and relatively low seroprevalence as compared to other avian taxa exposed to IAV in Alaska, they make poor IAV surveillance targets.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2018-06-165","usgsCitation":"Uher-Koch, B.D., Spivey, T.J., Van Hemert, C.R., Schmutz, J.A., Jiang, K., Wan, X., and Ramey, A.M., 2019, Serologic evidence for influenza A virus exposure in three loon species (Gavia spp.) breeding in Alaska: Journal of Wildlife Diseases, v. 55, no. 4, p. 862-867, https://doi.org/10.7589/2018-06-165.","productDescription":"6 p.","startPage":"862","endPage":"867","ipdsId":"IP-099071","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":437522,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YVG9ME","text":"USGS data release","linkHelpText":"Influenza A antibodies in Pacific (Gavia pacifica), Red-throated (G. stellata), and Yellow-billed Loons (G. adamsii) in Alaska, 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Center","active":true,"usgs":true}],"preferred":true,"id":761205,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70202858,"text":"70202858 - 2019 - Geology and biostratigraphy of the Upper Floridan aquifer in the greater Savannah region, Georgia and South Carolina","interactions":[],"lastModifiedDate":"2020-10-22T20:38:40.180425","indexId":"70202858","displayToPublicDate":"2019-03-29T10:34:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"Geology and biostratigraphy of the Upper Floridan aquifer in the greater Savannah region, Georgia and South Carolina","docAbstract":"The Upper Floridan aquifer (UFA) of South Carolina, Georgia, Alabama, Mississippi, and Florida has been considered a regionally continuous stratigraphic sequence of Eocene to Miocene carbonate strata, with documented unconformities based on lithology and biostratigraphy. As part of an investigation of the regional subsurface geologic framework in the Atlantic Coastal Plain Province, three deep cores were drilled by the U.S. Geological Survey at Pineora, Effingham County, Georgia; Cockspur Island, Chatham County, Georgia; and Palm Dunes, Beaufort County, South Carolina. The age of the UFAbased on calcareous nannofossil biostratigraphy ranges from early Oligocene to early Miocene in Pineora, late Eocene to late Oligocene in Cockspur Island, and late Eocene to questionably Miocene in Palm Dunes. Thin section analyses identified eleven unique microfacies across the study area and suggests that the sediments were most likely transported by oceanic currents at the time of deposition. Disconformities are identified from the Pineora and Palm Dunes cores and channel incision is documented at the top of the UFA in the Palm Dunes core. This study 1) documents how existing formation and time stratigraphic boundaries cross hydrogeologic units, 2) shows the complex geologic nature of the Upper Floridan aquifer across a relatively limited area, 3) sets forth a better understanding of how lateral and vertical changes in the lithologic units of the UFA affect permeability and porosity, and thus subsurface hydrologic flow, across the region, and 4) highlights the problems faced by legislators when implementing groundwater use regulations intended to slow salt water intrusion and drawdown.
","language":"English","publisher":"Micropaleontology Press","doi":"10.29041/strat.16.1.41-62","usgsCitation":"Self-Trail, J., Parker, M., Haynes, J.T., Schultz, A., and Huddleston, P.F., 2019, Geology and biostratigraphy of the Upper Floridan aquifer in the greater Savannah region, Georgia and South Carolina: Stratigraphy, v. 16, no. 1, p. 41-62, https://doi.org/10.29041/strat.16.1.41-62.","productDescription":"22 p.","startPage":"41","endPage":"62","ipdsId":"IP-101631","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":362647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, South Carolina","otherGeospatial":"Upper Floridan aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.28440856933594,\n 31.983035484210404\n ],\n [\n -80.72685241699217,\n 31.983035484210404\n ],\n [\n -80.72685241699217,\n 32.29525895520317\n ],\n [\n -81.28440856933594,\n 32.29525895520317\n ],\n [\n -81.28440856933594,\n 31.983035484210404\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Self-Trail, Jean 0000-0002-3018-4985 jstrail@usgs.gov","orcid":"https://orcid.org/0000-0002-3018-4985","contributorId":147370,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":760292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parker, Mercer 0000-0001-6683-6458 mercerparker@usgs.gov","orcid":"https://orcid.org/0000-0001-6683-6458","contributorId":203174,"corporation":false,"usgs":true,"family":"Parker","given":"Mercer","email":"mercerparker@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":760293,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haynes, John T.","contributorId":197407,"corporation":false,"usgs":false,"family":"Haynes","given":"John","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":760294,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schultz, Arthur P.","contributorId":212837,"corporation":false,"usgs":false,"family":"Schultz","given":"Arthur P.","affiliations":[],"preferred":false,"id":760295,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huddleston, Paul. F.","contributorId":214584,"corporation":false,"usgs":false,"family":"Huddleston","given":"Paul.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":760296,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70202853,"text":"70202853 - 2019 - Lakes as paleoseismic records in a seismically-active, low-relief area (Rieti Basin, central Italy)","interactions":[],"lastModifiedDate":"2019-06-18T11:14:23","indexId":"70202853","displayToPublicDate":"2019-03-29T09:47:09","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Lakes as paleoseismic records in a seismically-active, low-relief area (Rieti Basin, central Italy)","docAbstract":"Small lakes in low relief areas are atypical candidates for studies on paleoseismicity, but their sediments can contain seismically induced event layers (seismites) generated through strong ground shaking, sediment transport, hydrological reorganization and/or changes in groundwater chemistry and flow. Lakes Lungo and Ripasottile are shallow lakes (<10m deep) located in the tectonically active Rieti Basin in the central Apennines, Italy, where strong normal faulting earthquakes (Mw 6.5 to 7.0) regularly occur. Sediment cores from these lakes provide paleoseismic indicators for the past ~1000 years. Sedimentological and geochemical analysis reveals four event layers identified in both lakes that correspond with documented large-scale earthquakes in 1298, 1349, 1639, and 1703 AD. Chronological correlation between earthquakes and possible seismites is reliable because of the unusually high resolution of sediment dating available for the studied cores. The common physical structure is a physically homogenous bed (homogenite) of re-suspended sediment consisting of a denser, high magnetic susceptibility (MS) clastic base, with organic matter concentrated above. Chemical signatures are associated with some event layers and may represent abrupt or transient shifts to a groundwater-dominated system, or permanent changes in groundwater flow and/or spring discharge. Excursions in δ13Corg may represent disruptions or changes in carbon source. Not all event layers show the same features, a result attributed to differences in seismic processes as well as the lake attributes, and anthropogenic modification. The observations made here may provide a new means of detecting paleoseismicity and may be applied to other low relief lakes in seismically active areas.","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2019.03.004","usgsCitation":"Archer, C., Noble, P., Rosen, M.R., Sagnotti, L., Fiorindo, F., Piovesan, G., Mensing, S., and Michetti, A., 2019, Lakes as paleoseismic records in a seismically-active, low-relief area (Rieti Basin, central Italy): Quaternary Science Reviews, v. 211, p. 186-207, https://doi.org/10.1016/j.quascirev.2019.03.004.","productDescription":"22 p.","startPage":"186","endPage":"207","ipdsId":"IP-098465","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467762,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2019.03.004","text":"Publisher Index Page"},{"id":362567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"Rieti Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 12.677536010742188,\n 42.30727643850873\n ],\n [\n 13.454132080078125,\n 42.30727643850873\n ],\n [\n 13.454132080078125,\n 42.628906895633456\n ],\n [\n 12.677536010742188,\n 42.628906895633456\n ],\n [\n 12.677536010742188,\n 42.30727643850873\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"211","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Archer, Claire","contributorId":198952,"corporation":false,"usgs":false,"family":"Archer","given":"Claire","email":"","affiliations":[{"id":33648,"text":"Department of Geological Sciences and Engineering, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":760267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noble, Paula","contributorId":198953,"corporation":false,"usgs":false,"family":"Noble","given":"Paula","affiliations":[{"id":33648,"text":"Department of Geological Sciences and Engineering, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":760268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760266,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sagnotti, Leonardo","contributorId":214577,"corporation":false,"usgs":false,"family":"Sagnotti","given":"Leonardo","email":"","affiliations":[{"id":39077,"text":"National Institute of Geophysics and Volcanology; Rome, Italy","active":true,"usgs":false}],"preferred":false,"id":760269,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fiorindo, Fabio","contributorId":214578,"corporation":false,"usgs":false,"family":"Fiorindo","given":"Fabio","email":"","affiliations":[{"id":39077,"text":"National Institute of Geophysics and Volcanology; Rome, Italy","active":true,"usgs":false}],"preferred":false,"id":760270,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Piovesan, Gianluca","contributorId":198957,"corporation":false,"usgs":false,"family":"Piovesan","given":"Gianluca","email":"","affiliations":[{"id":35390,"text":"Tuscia University","active":true,"usgs":false}],"preferred":false,"id":760271,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mensing, Scott","contributorId":198958,"corporation":false,"usgs":false,"family":"Mensing","given":"Scott","affiliations":[{"id":33212,"text":"Department of Geography, University of NV","active":true,"usgs":false}],"preferred":false,"id":760273,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Michetti, Alessandro 0000-0002-1775-1340","orcid":"https://orcid.org/0000-0002-1775-1340","contributorId":206792,"corporation":false,"usgs":false,"family":"Michetti","given":"Alessandro","email":"","affiliations":[{"id":37402,"text":"Università degli Studi dell’Insubria","active":true,"usgs":false}],"preferred":false,"id":760272,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70203925,"text":"70203925 - 2019 - Biological effects of elevated major ions in surface water contaminated by a produced water from oil production","interactions":[],"lastModifiedDate":"2019-06-21T09:30:41","indexId":"70203925","displayToPublicDate":"2019-03-29T09:25:13","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Biological effects of elevated major ions in surface water contaminated by a produced water from oil production","docAbstract":"Produced water (PW) from oil and gas extraction processes has been shown to contain elevated concentrations of major ions. The objective of this study was to determine the potential effects of elevated major ions in PW-contaminated surface water on a fish (fathead minnow, Pimephales promelas) and a unionid mussel (fatmucket, Lampsilis siliquoidea) in short-term (7-day) exposures. The test organisms were exposed in 3 reconstituted waters formulated with 1, 2, and 4 times the major ions measured at a PW-contaminated stream site 1 month after a PW spill from an oil production wastewater pipeline in the Williston Basin, North Dakota. A reconstituted water mimicking the ionic composition of an upstream site from the spill was used as a reference water. Significant reductions in survival and growth of the fish were observed in the 4× treatment compared with the reference. The mussels were more sensitive than the fish, with significant reductions in survival in the 2× and 4× treatments, and significant reductions in length in the 1× and 2× treatments. Overall, these results indicate that elevated concentrations of major ions in PW-contaminated surface waters could adversely affect the fish and mussels tested and potentially other aquatic organisms.
","language":"English","publisher":"Springer","doi":"10.1007/s00244-019-00610-3","usgsCitation":"Wang, N., Kunz, J.L., Cleveland, D.M., Steevens, J.A., and Cozzarelli, I.M., 2019, Biological effects of elevated major ions in surface water contaminated by a produced water from oil production: Archives of Environmental Contamination and Toxicology, v. 76, no. 4, p. 670-677, https://doi.org/10.1007/s00244-019-00610-3.","productDescription":"8 p.","startPage":"670","endPage":"677","ipdsId":"IP-102029","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":437523,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BNJ0BT","text":"USGS data release","linkHelpText":"Physical, Chemical, and Bioassay Data from the Study on Effects of Elevated Major Ions in Surface Water Contaminated by a Produced Water from Oil Production"},{"id":364876,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":764732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":764733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":764734,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":207511,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":764735,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":764736,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203069,"text":"70203069 - 2019 - Assessing patterns of annual change to permafrost bluffs along the North Slope coast of Alaska using high-resolution imagery and elevation models","interactions":[],"lastModifiedDate":"2019-06-18T11:40:43","indexId":"70203069","displayToPublicDate":"2019-03-29T08:54:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Assessing patterns of annual change to permafrost bluffs along the North Slope coast of Alaska using high-resolution imagery and elevation models","docAbstract":"Coastal permafrost bluffs at Barter Island, on the North Slope, Beaufort Sea Coast of Alaska are among the most rapidly eroding along Alaska’s coast, having retreated up to 132 m between 1955 and 2015. Here we quantify rates and patterns of change over a single year using very-high resolution orthophotomosaics and co-registered surface elevation models derived from a survey-grade form of structure-from-motion photogrammetry from a fixed-wing, manned aircraft. The resulting elevation models were validated with over 10,000 ground check points and found that 95% agreed to within 20 cm, before accounting for real differences in the ground surface due to seasonality, vegetation, and checkpoint acquisition errors. This data set provides the most detailed and accurate measurements of coastal change to date along the Alaskan coast and the method is scaleable to more extensive coastlines. Between July 2014 and July 2015, the bluffs retreated an average of 1.3 m, and a maximum of 8.1 m, with an associated net volume loss of 38,100 ± 300 m3 (1.3 m3/m). This average retreat over this single year was slightly less than the 60-year mean rate of change of -1.5±0.1 m/yr, suggesting the 2014-2015 year represented relatively typical to slightly below average conditions. Most of the bluff material (70%) was lost during the 3 summer months (July to Sept) of 2014 and the remaining 30% between the late-summer and following winter-spring. The pattern of change was predominantly landward retreat of the top of the bluffs, removal of the debris apron and subsequent niching at the base of the bluffs during mid to late summer (July to Sept) followed by erosion of the bluff face and deposition of debris at the base of the bluff through the remainder of the year (Sept to the following July). Drivers of the observed change are likely a combination of thermal erosion on the bluff face throughout the summer and episodic thermo-mechanical removal of material, niching, and undercutting of the base associated with high-water levels driven by low-pressure storms and westerly winds. These patterns and high rates of change are believed to be broadly representative of coastal permafrost bluffs found along many high-latitude coastlines worldwide.","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2019.03.029","usgsCitation":"Gibbs, A.E., Nolan, M., Richmond, B.M., Snyder, A.G., and Erikson, L., 2019, Assessing patterns of annual change to permafrost bluffs along the North Slope coast of Alaska using high-resolution imagery and elevation models: Geomorphology, v. 336, p. 152-164, https://doi.org/10.1016/j.geomorph.2019.03.029.","productDescription":"13 p.","startPage":"152","endPage":"164","ipdsId":"IP-091185","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467763,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2019.03.029","text":"Publisher Index Page"},{"id":362994,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -151.171875,\n 68.64055504059381\n ],\n [\n -141.240234375,\n 68.64055504059381\n ],\n [\n -141.240234375,\n 71.13098770917023\n ],\n [\n -151.171875,\n 71.13098770917023\n ],\n [\n -151.171875,\n 68.64055504059381\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"336","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gibbs, Ann E. 0000-0002-0883-3774 agibbs@usgs.gov","orcid":"https://orcid.org/0000-0002-0883-3774","contributorId":2644,"corporation":false,"usgs":true,"family":"Gibbs","given":"Ann","email":"agibbs@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":761026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nolan, Matt","contributorId":146230,"corporation":false,"usgs":false,"family":"Nolan","given":"Matt","affiliations":[{"id":16761,"text":"Institute of Northern Engineering, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":761027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richmond, Bruce M. 0000-0002-0056-5832 brichmond@usgs.gov","orcid":"https://orcid.org/0000-0002-0056-5832","contributorId":2459,"corporation":false,"usgs":true,"family":"Richmond","given":"Bruce","email":"brichmond@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":761029,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Snyder, Alexander G. 0000-0001-6250-4827 agsnyder@usgs.gov","orcid":"https://orcid.org/0000-0001-6250-4827","contributorId":171654,"corporation":false,"usgs":true,"family":"Snyder","given":"Alexander","email":"agsnyder@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":761028,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Erikson, Li 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":214865,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":761030,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70251808,"text":"70251808 - 2019 - Igneous rocks in the Fish Creek Mountains and environs, Battle Mountain area, north-central Nevada: A microcosm of Cenozoic igneous activity in the northern Great Basin, Basin and Range Province, USA","interactions":[],"lastModifiedDate":"2024-02-29T14:30:00.503943","indexId":"70251808","displayToPublicDate":"2019-03-29T08:15:51","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14252,"text":"Earth Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Igneous rocks in the Fish Creek Mountains and environs, Battle Mountain area, north-central Nevada: A microcosm of Cenozoic igneous activity in the northern Great Basin, Basin and Range Province, USA","docAbstract":"The Great Basin of the western United States, the northern component of the Basin and Range Province, is a region of Cenozoic lithospheric extension with multiple periods and types of igneous activity. The composition and volume of Cenozoic magmas reflect a complex interaction between mantle-derived magmas and highly diverse crust, where both mantle sources and magmatic processes were modulated by tectonic environment. The Fish Creek Mountains in north-central Nevada underwent multiple igneous events ranging from ca. 40 Ma to 1 Ma that span all of the complex Cenozoic tectono-magmatic episodes of the Great Basin. The Fish Creek Mountains, therefore, is an ideal location to evaluate the different sources and processes involved in magma generation. Many plutons were emplaced in the region between about 40 and 38 Ma, several of which host base and precious metal deposits. Between 36 and 33 Ma, lava fields and calderas of the 37–19 Ma Ignimbrite Flare-up were emplaced. Both these and the preceding plutons resulted from southwestward rollback of the Farallon plate beneath North America during by far the most voluminous phase of Cenozoic magmatism. The lavas range from rare basalt and basaltic andesite to andesite, dacite, and rhyolite, have continental arc-like incompatible element patterns, and high initial 87Sr/86Sr and low εNd that require a metasomatized lithospheric mantle source combined with minor crustal component. Ignimbrites of the 34.4 Ma Cove Mine (trachydacite to rhyolite) and 34.0 Ma Caetano calderas (rhyolite to high-silica rhyolite) are abundantly porphyritic, include hydrous phases, were largely derived from partial melts of crustal rocks, but likely include 20–30% of a mantle-derived component.
Igneous activity ceased in the region as the rollback-arc migrated to the southwest, but at 24.9 Ma a new caldera formed in the southern Fish Creek Mountains that was filled by ignimbrites of the Fish Creek Mountains Tuff. Intracaldera rhyolite ignimbrites range from aphyric, pumice-rich deposits at the base to progressively more quartz-feldspar phyric ignimbrites at higher levels; all flow units lack hydrous phases. No contemporaneous mafic or intermediate igneous activity accompanied caldera formation, but initial 87Sr/86Sr values in the Fish Creek Mountains tuffs are lower than in the Caetano Tuff, suggesting a greater mantle contribution to the 24.9 Ma ignimbrites.
After another hiatus in igneous activity, the region was intruded and overlain by basalt to rhyolite dykes and lavas of the northern Nevada rift between 16.8 and 15.1 Ma. The primarily tholeiitic igneous suite is of the same age, chemistry, and isotopic composition as the Grande Ronde Formation of the Columbia River flood basalts, and evolved members (trachydacite and rhyolite) are crustally contaminated. The youngest northern Nevada rift lava is an alkali olivine basalt with isotopic affinity to basalts of the eastern Snake River Plain.
After 10 Ma of quiescence, the region was locally covered by mafic lava flows with high-alumina olivine tholeiite compositions, represented by the 5.4 Ma Pumpernickel Valley flows. Their mid-ocean ridge-like incompatible element compositions indicate a depleted mantle source for the lavas, but radiogenic isotopic compositions indicate that the lavas of this region include a significant contribution from a mafic to ultramafic, high-87Sr/86Sr source.
The final igneous event in the Fish Creek Mountains region, the 4.0 to 1.0 Ma Buffalo Valley volcanic field, includes flows and spatter cones of transitional to alkalic basalt that are divided into two geochemical groups with identical isotopic compositions. They represent variable, low percent partial melts of the asthenosphere at different depths, yielding different rare earth element characteristics. Similar to the Lunar Crater volcanic field, the Buffalo Valley rocks represent a rare case where the lithosphere in the central Great Basin is now thin enough to allow melting of the underlying asthenosphere.
Cenozoic magmatism in the northern Great Basin exhibits several transitions in magma sources and tectonic setting with time. Magmatism began as pre-extension, subduction-related, primarily lithospherically-derived magmas emplaced on/in tectonically-thickened crust. The onset of extension was partially driven by impingement of the Yellowstone plume that resulted in emplacement of rift-related volcanic and intrusive rocks in the northern Nevada rift, followed by the eruption of extension-related HAOT lavas along the northwest margin of the Great Basin. Finally, lithospheric thinning allowed for partial melting of the asthenosphere and eruption of alkaline basaltic lavas.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2019.03.013","usgsCitation":"Cousens, B.L., Henry, C., Stevens, C., Varve, S., John, D.A., and Wetmore, S., 2019, Igneous rocks in the Fish Creek Mountains and environs, Battle Mountain area, north-central Nevada: A microcosm of Cenozoic igneous activity in the northern Great Basin, Basin and Range Province, USA: Earth Science Reviews, v. 192, p. 403-444, https://doi.org/10.1016/j.earscirev.2019.03.013.","productDescription":"42 p.","startPage":"403","endPage":"444","ipdsId":"IP-106227","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":467764,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.earscirev.2019.03.013","text":"Publisher Index Page"},{"id":426126,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Fish Creek Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.47697929230347,\n 40.28016235329471\n ],\n [\n -117.47697929230347,\n 40.07291126292276\n ],\n [\n -117.18999422148758,\n 40.07291126292276\n ],\n [\n -117.18999422148758,\n 40.28016235329471\n ],\n [\n -117.47697929230347,\n 40.28016235329471\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"192","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cousens, Brian L. 0000-0002-9704-6974","orcid":"https://orcid.org/0000-0002-9704-6974","contributorId":242801,"corporation":false,"usgs":false,"family":"Cousens","given":"Brian","email":"","middleInitial":"L.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":895636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henry, Christopher D.","contributorId":36556,"corporation":false,"usgs":true,"family":"Henry","given":"Christopher D.","affiliations":[],"preferred":false,"id":895637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stevens, Christopher","contributorId":334440,"corporation":false,"usgs":false,"family":"Stevens","given":"Christopher","email":"","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":895638,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Varve, Susan","contributorId":334441,"corporation":false,"usgs":false,"family":"Varve","given":"Susan","email":"","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":895639,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"John, David A. 0000-0001-7977-9106 djohn@usgs.gov","orcid":"https://orcid.org/0000-0001-7977-9106","contributorId":1748,"corporation":false,"usgs":true,"family":"John","given":"David","email":"djohn@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":895640,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wetmore, Stacey","contributorId":334442,"corporation":false,"usgs":false,"family":"Wetmore","given":"Stacey","email":"","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":895641,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70204108,"text":"70204108 - 2019 - Emerging investigator series: Atmospheric cycling of indium in the northeastern United States","interactions":[],"lastModifiedDate":"2019-07-05T16:44:46","indexId":"70204108","displayToPublicDate":"2019-03-28T16:35:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1566,"text":"Environmental Science: Processes and Impacts","active":true,"publicationSubtype":{"id":10}},"title":"Emerging investigator series: Atmospheric cycling of indium in the northeastern United States","docAbstract":"Indium is critical to the global economy and is used in an increasing number of electronics and new energy technologies. However, little is known about its environmental behavior or impacts, including its concentrations or cycling in the atmosphere. This study determined indium concentrations in air particulate matter at five locations across the northeastern United States over the course of one year, in 1995. Historical records from a Massachusetts bog core showed that indium atmospheric concentrations in this region changed only modestly between 1995 and 2010. Atmospheric indium concentrations varied significantly both geographically and temporally, with average concentrations in PM3 of 2.1 ± 1.6 pg m−3 (1 standard deviation), and average particle-normalized concentrations of 0.2 ± 0.2 μg In per g PM3. Peaks in the particle-normalized concentrations in two New York sites were correlated with wind direction; air coming from the north contributed higher concentrations of indium than air coming from the west. This correlation, along with measurements of indium in zinc smelter emissions and coal fly ash, suggests that indium in the atmosphere in the northeastern United States comes from a relatively constant low-level input from coal combustion in the midwest, and higher but more sporadic contributions from the smelting of lead, zinc, copper, tin, and nickel north of the New York sample sites. Understanding the industrial sources of indium to the atmosphere and how they compare with natural sources can lead to a better understanding of the impact of human activities on the indium cycle, and may help to establish a baseline for monitoring future impacts as indium use grows.
","language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/c8em00485d","usgsCitation":"White, S.J., and Hemond, H.F., 2019, Emerging investigator series: Atmospheric cycling of indium in the northeastern United States: Environmental Science: Processes and Impacts, v. 21, no. 4, p. 623-634, https://doi.org/10.1039/c8em00485d.","productDescription":"12 p.","startPage":"623","endPage":"634","ipdsId":"IP-104440","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":365317,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts, New York","city":"Boston, Brockport, Reading, Rochester, Thoreau's Bog","otherGeospatial":"Quabbin Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.31054687499999,\n 42.89206418807337\n ],\n [\n -77.18994140625,\n 42.89206418807337\n ],\n [\n -77.18994140625,\n 43.389081939117496\n ],\n [\n -78.31054687499999,\n 43.389081939117496\n ],\n [\n -78.31054687499999,\n 42.89206418807337\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.4658203125,\n 42.049292638686836\n ],\n [\n -71.015625,\n 42.049292638686836\n ],\n [\n -71.015625,\n 42.68243539838623\n ],\n [\n -72.4658203125,\n 42.68243539838623\n ],\n [\n -72.4658203125,\n 42.049292638686836\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"White, Sarah Jane 0000-0002-4055-8207","orcid":"https://orcid.org/0000-0002-4055-8207","contributorId":216796,"corporation":false,"usgs":true,"family":"White","given":"Sarah","email":"","middleInitial":"Jane","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":765551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hemond, Harold F.","contributorId":34673,"corporation":false,"usgs":false,"family":"Hemond","given":"Harold","email":"","middleInitial":"F.","affiliations":[{"id":13299,"text":"Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA","active":true,"usgs":false}],"preferred":false,"id":765552,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70202840,"text":"70202840 - 2019 - Effects of age and environment on stable carbon isotope ratios in tree rings of riparian Populus","interactions":[],"lastModifiedDate":"2019-03-28T15:24:28","indexId":"70202840","displayToPublicDate":"2019-03-28T15:22:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Effects of age and environment on stable carbon isotope ratios in tree rings of riparian Populus","docAbstract":"Stable carbon isotopes of riparian tree rings are enabling improved reconstruction of past climate variability, but this advance is limited by difficulty distinguishing the effects of tree age from those of climate. We investigated relative influence of age and climate trends in genus Populus, which dominates floodplain forests in Europe, Asia and North America. We related precipitation and river flow to annual variation in stable carbon isotope ratio (δ13C) in trees with a broad distribution of ages spanning two hundred years. On the floodplain of the lightly regulated Little Missouri River, North Dakota, USA, we examined a total of 845 rings from seven specimens of cottonwood tree (Populus deltoides W. Bartram ex Marshall ssp. monilifera [Aiton] Eckenwalder). Cottonwood δ13C decreased from pith to bark in whole wood, but this trend was almost completely eliminated in purified cellulose. The δ13C offset between whole wood and cellulose increased from pith to bark, consistent with trends of decreasing cellulose and increasing hemicellulose as a proportion of whole wood. While annual ring width was correlated with monthly precipitation from April through June, δ13C showed strong correlations only in\nJune and July, suggesting that these complementary proxies allow resolution of seasonal variation in water availability. We conclude that past climate can be reconstructed from δ13C of purified cellulose from cottonwood without detrending for tree age.","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2019.03.022","usgsCitation":"Friedman, J.M., Stricker, C.A., Adam Z Csank, and Zhou, H., 2019, Effects of age and environment on stable carbon isotope ratios in tree rings of riparian Populus: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 524, p. 25-32, https://doi.org/10.1016/j.palaeo.2019.03.022.","productDescription":"8 p.","startPage":"25","endPage":"32","ipdsId":"IP-100611","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467765,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.palaeo.2019.03.022","text":"Publisher Index Page"},{"id":362513,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"524","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":760217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":760218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adam Z Csank","contributorId":214564,"corporation":false,"usgs":false,"family":"Adam Z Csank","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":760219,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhou, Honghua","contributorId":214565,"corporation":false,"usgs":false,"family":"Zhou","given":"Honghua","email":"","affiliations":[{"id":18132,"text":"Xinjiang Institute of Ecology and Geography, China","active":true,"usgs":false}],"preferred":false,"id":760220,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202838,"text":"70202838 - 2019 - HyCReWW: A hybrid coral reef wave and water level metamodel","interactions":[],"lastModifiedDate":"2019-03-28T15:20:55","indexId":"70202838","displayToPublicDate":"2019-03-28T15:19:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"HyCReWW: A hybrid coral reef wave and water level metamodel","docAbstract":"Wave-induced flooding is a major coastal hazard on tropical islands fronted by coral reefs. The variability of shape, size, and physical characteristics of the reefs across the globe make it difficult to obtain a parameterization of wave run-up, which is needed for risk assessments. Therefore, we developed the HyCReWW metamodel to predict wave run-up under a wide range of reef morphometric and offshore forcing characteristics. Due to the complexity and high dimensionality of the problem, we assumed an idealized one-dimensional reef profile, characterized by seven primary parameters. XBeach Non-Hydrostatic was chosen to create the synthetic dataset, and Radial Basis Functions implemented in MATLAB® were chosen for interpolation. Results demonstrate the applicability of the metamodel to obtain fast and accurate results of wave run-up for a large range of intrinsic reef morphologic and extrinsic hydrodynamic forcing parameters, offering a useful tool for risk management and early warning systems.","language":"English","publisher":"Elsevier","doi":"10.1016/j.cageo.2019.03.004","usgsCitation":"Rueda, A.C., Cagigal, L., Pearson, S., Antolínez, J., Storlazzi, C.D., van Dongeren, A., Camus, P., and Mendez, F.J., 2019, HyCReWW: A hybrid coral reef wave and water level metamodel: Computers & Geosciences, v. 127, p. 85-90, https://doi.org/10.1016/j.cageo.2019.03.004.","productDescription":"6 p.","startPage":"85","endPage":"90","ipdsId":"IP-094659","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467766,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.cageo.2019.03.004","text":"Publisher Index Page"},{"id":437524,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7SX6CFQ","text":"USGS data release","linkHelpText":"HyCReWW database: A hybrid coral reef wave and water level metamodel"},{"id":362512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rueda, Ana C.","contributorId":177511,"corporation":false,"usgs":false,"family":"Rueda","given":"Ana","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":760208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cagigal, Laura","contributorId":214560,"corporation":false,"usgs":false,"family":"Cagigal","given":"Laura","affiliations":[{"id":39072,"text":"U.Cantabria","active":true,"usgs":false}],"preferred":false,"id":760209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearson, Stuart","contributorId":193835,"corporation":false,"usgs":false,"family":"Pearson","given":"Stuart","affiliations":[],"preferred":false,"id":760210,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Antolínez, Jose","contributorId":214561,"corporation":false,"usgs":false,"family":"Antolínez","given":"Jose","affiliations":[{"id":39072,"text":"U.Cantabria","active":true,"usgs":false}],"preferred":false,"id":760211,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":760207,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"van Dongeren, Ap","contributorId":149002,"corporation":false,"usgs":false,"family":"van Dongeren","given":"Ap","email":"","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":760212,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Camus, Paula","contributorId":177512,"corporation":false,"usgs":false,"family":"Camus","given":"Paula","email":"","affiliations":[],"preferred":false,"id":760213,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mendez, Fernando J.","contributorId":177514,"corporation":false,"usgs":false,"family":"Mendez","given":"Fernando","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":760214,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70202018,"text":"sim3424 - 2019 - Geology of the Hardeeville NW Quadrangle and parts of the Brighton and Pineland Quadrangles, Jasper County, South Carolina","interactions":[],"lastModifiedDate":"2019-10-04T12:54:40","indexId":"sim3424","displayToPublicDate":"2019-03-28T14:00:00","publicationYear":"2019","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":"3424","displayTitle":"Geology of the Hardeeville NW Quadrangle and Parts of the Brighton and Pineland Quadrangles, Jasper County, South Carolina","title":"Geology of the Hardeeville NW Quadrangle and parts of the Brighton and Pineland Quadrangles, Jasper County, South Carolina","docAbstract":"This publication portrays the geology of the Hardeeville NW quadrangle and parts of the Brighton and Pineland quadrangles that are within Jasper County, South Carolina. The study area is located in the Atlantic Coastal Plain province, approximately 50 to 70 kilometers (km) inland from the coast. The data are compiled from geological field mapping, light detection and ranging (lidar) elevation data, cores, optically stimulated luminescence ages, radiocarbon ages, and biostratigraphic interpretations. Most of the study area is occupied by the valley of the Savannah River, and exposures of geologic units are very limited. Traditional geologic mapping in this area is difficult because of limited access, subdued topography, extensive swamps, and abundant vegetation.
The Savannah River flows predominantly southeast, and forms most of the border between the States of South Carolina and Georgia. The river is approximately 483 km long and has a total drainage area of approximately 15,850 square km. Although upstream tributaries drain the southeastern side of the Appalachian Blue Ridge province, the Savannah River begins in the Piedmont province and then flows across the Atlantic Coastal Plain province to the Atlantic Ocean. For much of its extent, the modern channel of the Savannah River is located on the southwestern side of the river valley, and the southwestern bank of the valley is the active cut bank. Within the study area, the valley of the Savannah River trends southeast and is relatively straight. The valley has relatively low relief, although the southwestern valley wall is steeper and has greater relief than the northeastern valley wall.
Elevations within the valley mostly range from 3 to 15 meters (m) above sea level, whereas elevations on the high terrace that forms the eastern margin of the Savannah River valley are 15 to 20 m above sea level. The width of the valley is 6 to 7 km in the northern part of the study area and expands to 10 to 12 km farther south. The modern river channel occupies the southwestern side of the valley, and some modern (active) creeks enter the river from the west. Sand hills and low-relief terraces are present to the east of the modern river channel, and the eastern side of the valley is characterized by abandoned meandering and linear channels. Fan-shaped deposits of sand and mud are present where relict (inactive) channels enter the eastern side of the valley. Abandoned meandering channels of low relief (<3 m) are also present to the east on the high terrace (>15 m elevation) that forms the eastern margin of the Savannah River valley. Within the study area, most of the Savannah River valley is covered by alluvial wetland community vegetation dominated by cypress and tupelo trees, although sand hills within the valley are covered by xeric sand community vegetation dominated by pine trees.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3424","usgsCitation":"Swezey, C.S., Schultz, A.P., Doar, W.R., III, Garrity, C.P., Bernhardt, C.E., Crider, E.A., Jr., Edwards, L.E., and McGeehin, J.P., 2019, Geology of the Hardeeville NW quadrangle and parts of the Brighton and Pineland quadrangles, Jasper County, South Carolina: U.S. Geological Survey Scientific Investigations Map 3424, 2 sheets, scale 1:24,000, https://doi.org/10.3133/sim3424.","productDescription":"2 Sheets: 51.79 x 40.25 inches and 32.20 x 40.22 inches; Companion File; Database; XML Metadata","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-040734","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":361223,"rank":5,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3424/metadata/sim3424_fgdc.xml","text":"XML Metadata","size":"37.3 KB xml"},{"id":361056,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3424/sim3424_sheet1.pdf","text":"Sheet 1 ","size":"185 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Geologic Map and Lidar Shaded-Relief Map"},{"id":361057,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3424/sim3424_sheet2.pdf","text":"Sheet 2","size":"6.95 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Cross Sections, Stratigraphic Descriptions from Cores, Optically Stimulated Luminescence and Radiocarbon Ages, and Dinoflagellate Biostratigraphic Interpretations"},{"id":361055,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3424/coverthb2.jpg"},{"id":361222,"rank":4,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3424/metadata/sim3424.gdb.zip","size":"1.44 MB","linkFileType":{"id":6,"text":"zip"}}],"country":"United States","state":"South Carolina","county":"Jasper County","otherGeospatial":"Brighton Quadrangle, Pineland Quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.14295959472656,\n 32.146257633327764\n ],\n [\n -81.1007308959961,\n 32.146257633327764\n ],\n [\n -81.1007308959961,\n 32.222967176706305\n ],\n [\n -81.14295959472656,\n 32.222967176706305\n ],\n [\n -81.14295959472656,\n 32.146257633327764\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Florence Bascom Geoscience Center
U.S. Geological Survey
926A National Center
12201 Sunrise Valley Drive
Reston, VA
The Samoan islands are an archipelago hosting a quarter million people mostly residing in three major islands, Savai'i and Upolu (Samoa), and Tutuila (American Samoa). The islands have experienced sea level rise by 2–3 mm/year during the last half century. The rate, however, has dramatically increased following the Mw 8.1 Samoa‐Tonga earthquake doublet (megathrust + normal faulting) in September 2009. Since the earthquake, we found large‐scale gravity increase (0.5 μGal/year) around the islands and ongoing subsidence (8–16 mm/year) of the islands from our analysis of Gravity Recovery And Climate Experiment gravity and GPS displacement data. The postseismic horizontal displacement is faster in Samoa, while the postseismic subsidence rate is considerably larger in American Samoa. The analysis of local tide gauge records and satellite altimeter data also identified that the relative sea level rise becomes faster by 7–9 mm/year in American Samoa than Samoa. A simple viscoelastic model with a Maxwell viscosity of 2–3×1018 Pa s for the asthenosphere explained postseismic deformation at nearby GPS sites as well as Gravity Recovery And Climate Experiment gravity change. It is found that the constructive interference of viscoelastic relaxation from both megathrust and normal faulting has intensified the postseismic subsidence at American Samoa, causing ~5 times faster sea level rise than the global average. Our model indicates that this trend is likely to continue for decades and result in sea level rise of 30–40 cm, which is independent of and in addition to anticipated climate‐related sea level rise. It will worsen coastal flooding on the islands leading to regular nuisance flooding.
We examined flow alteration-ecology relationships in benthic macroinvertebrate, fish, and crayfish assemblages in Ozark Highland streams, USA, over two years with contrasting environmental conditions, a drought year (2012) and a flood year (2013). We hypothesized that: 1) there would be temporal variation in flow alteration-ecology relationships between the two years, 2) flow alteration-ecology relationships would be stronger during the drought year vs the flood year, and 3) fish assemblages would show the strongest relationships with flow alteration. We used a quantitative richest-targeted habitat (RTH) method and a qualitative multi-habitat (QMH) method to collect macroinvertebrates at 16 USGS gaged sites during both years. We used backpack electrofishing to sample fish and crayfish at 17 sites in 2012 and 11 sites in 2013. We used redundancy analysis to relate biological response metrics, including richness, diversity, density, and community-based metrics, to flow alteration. We found temporal variation in flow alteration-ecology relationships for all taxa, and that relationships differed greatly between assemblages. We found relationships were stronger for macroinvertebrates during the drought year but not for other assemblages, and that fish assemblage relationships were not stronger than the invertebrate taxa. Magnitude of average flow, frequency of high flow, magnitude of high flow, and duration of high flow were the most important categories of flow alteration metrics across taxa. Alteration of high and average flows was more important than alteration of low flows. Of 32 important flow alteration metrics across years and assemblages, 19 were significantly altered relative to expected values. Ecological responses differed substantially between drought and flood years, and this is likely to be exacerbated with predicted climate change scenarios. Differences in flow alteration-ecology relationships among taxonomic groups and temporal variation in relationships illustrate that a complex suite of variables should be considered for effective conservation of stream communities related to flow alteration.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.03.383","usgsCitation":"Lynch, D., Leasure, D., and Magoulick, D.D., 2019, Flow alteration-ecology relationships in Ozark Highland streams: Consequences for fish, crayfish and macroinvertebrate assemblages: Science of the Total Environment, v. 672, p. 680-697, https://doi.org/10.1016/j.scitotenv.2019.03.383.","productDescription":"18 p.","startPage":"680","endPage":"697","ipdsId":"IP-099065","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":467767,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://doi.org/10.1016/j.scitotenv.2019.03.383>).","text":"External Repository"},{"id":382515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri, Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.6142578125,\n 35.137879119634185\n ],\n [\n -93.7353515625,\n 35.567980458012094\n ],\n [\n -92.373046875,\n 35.35321610123823\n ],\n [\n -91.3623046875,\n 35.88905007936091\n ],\n [\n -92.900390625,\n 36.491973470593685\n ],\n [\n -92.1533203125,\n 36.87962060502676\n ],\n [\n -92.4169921875,\n 38.20365531807149\n ],\n [\n -93.7353515625,\n 38.41055825094609\n ],\n [\n -94.0869140625,\n 37.3002752813443\n ],\n [\n -96.15234375,\n 36.38591277287651\n ],\n [\n -96.240234375,\n 35.06597313798418\n ],\n [\n -94.6142578125,\n 35.137879119634185\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"672","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lynch, D.T.","contributorId":243385,"corporation":false,"usgs":false,"family":"Lynch","given":"D.T.","email":"","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":802173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leasure, D.R.","contributorId":243386,"corporation":false,"usgs":false,"family":"Leasure","given":"D.R.","email":"","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":802174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":802175,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202570,"text":"70202570 - 2019 - Wetland drying linked to variations in snowmelt runoff across Grand Teton and Yellowstone national parks","interactions":[],"lastModifiedDate":"2019-03-28T13:27:57","indexId":"70202570","displayToPublicDate":"2019-03-28T13:25:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Wetland drying linked to variations in snowmelt runoff across Grand Teton and Yellowstone national parks","docAbstract":"In Grand Teton and Yellowstone national parks wetlands offer critical habitat and play a key role in supporting biological diversity. The shallow depths and small size of many wetlands make them vulnerable to changes in climate compared with larger and deeper aquatic habitats. Here, we use a simple water balance model to generate estimates of biophysical drivers of wetland change. We then examine the relationship between wetland inundation status and four principal drivers (i.e., temperature, precipitation, evapotranspiration, and runoff) spanning varying meteorological conditions over an 8-year time series from Grand Teton and Yellowstone national parks. We found that a higher percentage of surveyed wetlands were dry in years characterized by lower snowmelt runoff. While runoff-based models were most supported, wetland drying was also related to variations in April to June precipitation and temperatures. Our work shows that wetland drying was widespread across both parks, but sub-regional variations were best described at the hydrologic subbasin-level. Documenting the varying responses of wetlands to meteorological drivers is a necessary first step to identifying which subbasins are most sensitive to recent change and contemplating how future change may alter the distribution of wetlands and their dependent taxa.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.02.296","usgsCitation":"Ray, A.M., Sepulveda, A.J., Irvine, K.M., Wilmoth, S.K., Thoma, D.P., and Patla, D.A., 2019, Wetland drying linked to variations in snowmelt runoff across Grand Teton and Yellowstone national parks: Science of the Total Environment, v. 666, p. 1188-1197, https://doi.org/10.1016/j.scitotenv.2019.02.296.","productDescription":"10 p.","startPage":"1188","endPage":"1197","ipdsId":"IP-097789","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":460429,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2019.02.296","text":"Publisher Index Page"},{"id":362508,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United states","state":"Idaho, Montana, Wyoming","otherGeospatial":"Grand Teton National Park, Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.642822265625,\n 43.32517767999296\n ],\n [\n -108.8525390625,\n 43.35713822211053\n ],\n [\n -108.86352539062499,\n 45.460130637921004\n ],\n [\n -112.642822265625,\n 45.51404592560424\n ],\n [\n -112.642822265625,\n 43.32517767999296\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"666","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ray, Andrew M.","contributorId":167601,"corporation":false,"usgs":false,"family":"Ray","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":759146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":759145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":759147,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilmoth, Siri K.C.","contributorId":214102,"corporation":false,"usgs":false,"family":"Wilmoth","given":"Siri","email":"","middleInitial":"K.C.","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":759148,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thoma, David P.","contributorId":197256,"corporation":false,"usgs":false,"family":"Thoma","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":759149,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Patla, Debra A.","contributorId":214103,"corporation":false,"usgs":false,"family":"Patla","given":"Debra","email":"","middleInitial":"A.","affiliations":[{"id":38924,"text":"Northern Rockies Conservation Cooperative","active":true,"usgs":false}],"preferred":false,"id":759150,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70202454,"text":"ofr20191021 - 2019 - Establishing molecular methods to quantitatively profile gastric diet items of fish—Application to the invasive blue catfish (ictalurus furcatus)","interactions":[],"lastModifiedDate":"2024-03-04T19:12:51.081104","indexId":"ofr20191021","displayToPublicDate":"2019-03-28T11:30:00","publicationYear":"2019","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":"2019-1021","displayTitle":"Establishing Molecular Methods to Quantitatively Profile Gastric Diet Items of Fish—Application to the Invasive Blue Catfish (Ictalurus furcatus)","title":"Establishing molecular methods to quantitatively profile gastric diet items of fish—Application to the invasive blue catfish (ictalurus furcatus)","docAbstract":"Understanding the diet of invasive species helps researchers to more accurately assess the health, survivorship, growth, and stability of an invasive fish species, as well as their effects on native populations. Techniques capable of identifying multiple prey species from fish stomach contents have been developed. In this study, a multi-locus metabarcoding approach was used to identify fish and invertebrate prey in stomach samples of Ictalurus furcatus (blue catfish), which were collected from two sites on the Mattawomen Creek and Nanjemoy Creek in Maryland.
The mitochondrial 12S (mt12S) and mitochondrial 16S (mt16S) gene regions were sequenced and compared. First, a mock sample for each gene region was created with the pooled polymerase chain reaction product of known fish species, and quantities of the sample were used to determine efficacy of the amplicon. Results varied between gene regions analyzed. Then, when using the mt12S primers, next-generation sequencing determined that nine fish species were found at levels greater than 1 percent of the diet of blue catfish. The most common species were Perca flavescens (yellow perch) and Cyprinus carpio (common carp). The mt16S gene region analyses found 10 fish species at greater than 1 percent of the diet, which primarily included Orconectes limosus (spinycheek crayfish), Alosa pseudoharengus (alewife), and yellow perch. Partially digested eggs were identified using next-generation sequencing of yellow perch in two of the stomach samples, and a TaqMan® quantitative polymerase chain reaction (qPCR) assay was developed to more economically identify egg species in the future.
The yellow-perch-specific TaqMan® qPCR assay was tested using primers that were developed to detect a 154-base-pair amplicon in the mitochondrial control region. Consumption of yellow perch eggs indicates that blue catfish could potentially negatively affect young-of-year recruitment of this native sportfish. Analyses of two gene regions helped confirm the major prey of the fish sampled and allowed identification of fish species as prey that were not included in a database for the two gene regions. We concluded that the mitochondrial ribosomal-marker-based next-generation sequencing method is useful in determining the prey of fish species.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191021","usgsCitation":"Iwanowicz, D.D., Schill, W.B., Sanders, L.R., Groves, T., and Groves, M.C., 2019, Establishing molecular methods to quantitatively profile gastric diet items of fish—Application to the invasive blue catfish (Ictalurus furcatus): U.S. Geological Survey Open-File Report 2019–1021, 15 p., https://doi.org/10.3133/ofr20191021.","productDescription":"Report: vii, 15 p.; Appendix","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-103768","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":362344,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1021/ofr20191021.pdf","text":"Report","size":"1.89 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1021"},{"id":362345,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1021/ofr20191021_appendix.pdf","size":"660 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":362343,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1021/coverthb2.jpg"}],"country":"United States","otherGeospatial":"Potomac River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.26272583007812,\n 38.396029684120315\n ],\n [\n -77.12059020996094,\n 38.396029684120315\n ],\n [\n -77.12059020996094,\n 38.634036452919226\n ],\n [\n -77.26272583007812,\n 38.634036452919226\n ],\n [\n -77.26272583007812,\n 38.396029684120315\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Eastern Ecological Science Center
U.S. Geological Survey
11649 Leetown Road
Kearneysville, WV 25430
Three prolific earthquake swarms and numerous smaller ones have occurred since 1980 in the Mesozoic igneous plutonic rocks of the Perris block of the Peninsular Ranges, Southern California. The major swarms occurred in 1980–1981, 1983–1984, and 2016–2018, with the latest swarm still ongoing. These swarms have no clear mainshock, with the largest events of ML 3.6, ML 3.7, and Mw 4.4. Each successive swarm had larger cumulative seismic moment release with about 314 and 411 events of M ≥ 1.5, while the third swarm has produced about 451 events of M ≥ 1.5 (as of September 2018). The concurrent strike‐slip faulting occurred on north to northwest striking planes but with no orthogonal northeast trending seismicity alignments. These shallow swarms are probably driven by intrablock Pacific‐North America plate boundary stress loading of the two bounding major late Quaternary strike‐slip faults, the Elsinore and San Jacinto faults. The state of stress within the Cahuilla Valley pluton has a ~40° angle between the maximum principal stress and the average trend of the swarms, suggesting that migrating pore fluid pressures aid in the formation and growth of zones of weakness. These swarms, which last more than 600 days each, exhibit clear bilateral spatial migration for distances of up to ~7–8 km and reach their full length in about 20 months. The slow spatial‐temporal development of the swarms corresponds to a fluid diffusivity of 0.006 to 0.01 m2/s, consistent with very low permeability rocks as expected for this block. There is no geodetic or other evidence for a slow slip event driving the swarms.
We surveyed copepods parasitic on the fishes at Palmyra, a remote atoll in the Central Indo-Pacific faunal region. In total, we collected 849 individual fish, representing 44 species, from the intertidal lagoon flats at Palmyra and recovered 17 parasitic copepod species. The parasitic copepods were: Orbitacolax williamsi on Mulloidichthys flavolineatus; Anuretes serratus on Acanthurus xanthopterus; Caligus confusus on Carangoides ferdau, Carangoides orthogrammus, Caranx ignobilis, Caranx melampygus, and Caranx papuensis; Caligus kapuhili on Chaetodon auriga and Chaetodon lunula; Caligus laticaudus on Rhinecanthus aculeatus, Pseudobalistes flavimarginatus, M. flavolineatus, Upeneus taeniopterus, Chrysiptera glauca, and Epinephalus merra; Caligus mutabilis on Lutjanus fulvus and Lutjanus monostigma; Caligus randalli on C. ignobilis; Caligus sp. on L. fulvus; Caritus serratus on Chanos chanos; Lepeophtheirus lewisi on A. xanthopterus; Lepeophtheirus uluus on C. ignobilis; Dissonus similis on Arothron hispidus; Nemesis sp. on Carcharhinus melanopterus; Hatschekia longiabdominalis on A. hispidus; Hatschekia bicaudata on Chaetodon auriga and Chaetodon lunula; Kroyeria longicauda on C. melanopterus and Lernanthropus sp. on Kyphosus cinerascens. All copepod species reported here have been previously reported from the Indo-Pacific but represent new geographical records for Palmyra, demonstrating large-scale parasite dispersion strategies.
","language":"English","publisher":"Pensoft Publishers","doi":"10.3897/zookeys.833.30835","usgsCitation":"Soler-Jimenez, L.C., Morales-Serna, F.N., Aguirre-Macedo, M.L., McLaughlin, J.P., Jaramillo, A.G., Shaw, J.C., James, A.K., Hechinger, R.F., Kuris, A.M., Lafferty, K.D., and Vidal-Martinez, V.M., 2019, Parasitic copepods (Crustacea, Hexanauplia) on fishes from the lagoon flats of Palmyra Atoll, Central Pacific: ZooKeys, v. 833, p. 85-106, https://doi.org/10.3897/zookeys.833.30835.","productDescription":"22 p.","startPage":"85","endPage":"106","ipdsId":"IP-102667","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467770,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3897/zookeys.833.30835","text":"Publisher Index Page"},{"id":364981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Palmyra Atoll","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -162.11219787597656,\n 5.864671244842154\n ],\n [\n -162.03872680664062,\n 5.864671244842154\n ],\n [\n -162.03872680664062,\n 5.8974567569002545\n ],\n [\n -162.11219787597656,\n 5.8974567569002545\n ],\n [\n -162.11219787597656,\n 5.864671244842154\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"833","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Soler-Jimenez, Lilia Catherinne","contributorId":200199,"corporation":false,"usgs":false,"family":"Soler-Jimenez","given":"Lilia","email":"","middleInitial":"Catherinne","affiliations":[],"preferred":false,"id":764942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morales-Serna, F. Neptali","contributorId":216519,"corporation":false,"usgs":false,"family":"Morales-Serna","given":"F.","email":"","middleInitial":"Neptali","affiliations":[{"id":39468,"text":"Unidad Academica Mazatian en Cuicultura y Manejo Ambiental","active":true,"usgs":false}],"preferred":false,"id":764943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aguirre-Macedo, Ma. Leopoldina","contributorId":200200,"corporation":false,"usgs":false,"family":"Aguirre-Macedo","given":"Ma.","email":"","middleInitial":"Leopoldina","affiliations":[],"preferred":false,"id":764944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McLaughlin, John P. 0000-0002-8756-2123","orcid":"https://orcid.org/0000-0002-8756-2123","contributorId":203516,"corporation":false,"usgs":false,"family":"McLaughlin","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":764945,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jaramillo, Alejandra G.","contributorId":149800,"corporation":false,"usgs":false,"family":"Jaramillo","given":"Alejandra","email":"","middleInitial":"G.","affiliations":[{"id":6710,"text":"University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":764946,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shaw, Jenny C.","contributorId":189858,"corporation":false,"usgs":false,"family":"Shaw","given":"Jenny","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":764947,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"James, Anna K","contributorId":216520,"corporation":false,"usgs":false,"family":"James","given":"Anna","email":"","middleInitial":"K","affiliations":[{"id":37180,"text":"UC Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":764948,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hechinger, Ryan F.","contributorId":178695,"corporation":false,"usgs":false,"family":"Hechinger","given":"Ryan","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":764949,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kuris, Armand M.","contributorId":189859,"corporation":false,"usgs":false,"family":"Kuris","given":"Armand","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":764950,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":764941,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Vidal-Martinez, Victor M.","contributorId":216521,"corporation":false,"usgs":false,"family":"Vidal-Martinez","given":"Victor","email":"","middleInitial":"M.","affiliations":[{"id":39469,"text":"Unidad Merida, UC Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":764951,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70202977,"text":"70202977 - 2019 - Improving eDNA yield and inhibitor reduction through increased water volumes and multi-filter isolation techniques","interactions":[],"lastModifiedDate":"2019-08-16T11:57:47","indexId":"70202977","displayToPublicDate":"2019-03-27T17:14:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Improving eDNA yield and inhibitor reduction through increased water volumes and multi-filter isolation techniques","docAbstract":"To inform management and conservation decisions, environmental DNA (eDNA) methods are used to detect genetic material shed into the water by imperiled and invasive species. Methodological enhancements are needed to reduce filter clogging, PCR inhibition, and false-negative detections when eDNA is at low concentrations. In the first of three simple experiments, we sought to ameliorate filter clogging from particulates and organic material through a scaled-up, multi-filter protocol. We combined four filters in a 5 mL Phenol-Chloroform-Isoamyl (PCI) procedure to allow for larger volumes of water (~1 L) to be filtered rapidly. Increasing the filtered water volume by four times resulted in 4.4X the yield of target DNA. Next, inhibition from organic material can reduce or block eDNA detections in PCR-based assays. To remove inhibitory compounds retained during eDNA isolation, we tested three methods to chemically strip inhibitors from eDNA molecules. The use of CTAB as a short-term (5–8 day) storage buffer, followed by a PCI isolation, resulted in the highest eDNA yields. Finally, as opposed to a linear relationship among increasing concentrations of filtered genomic eDNA, we observed a sharp change between the lower (70–280 ng) and higher (420–560 ng) amounts. This may be important for effectively precipitating eDNA during protocol testing.
The natural wood regime forms the third leg of a tripod of physical processes that supports river science and management, along with the natural flow and sediment regimes. The wood regime consists of wood recruitment, transport, and storage in river corridors. Each of these components can be characterized in terms of magnitude, frequency, rate, timing, duration, and mode. We distinguish the natural wood regime, which occurs where human activities do not significantly alter the wood regime, and a target wood regime, in which management emphasizes wood recruitment, transport, and storage that balance desired geomorphic and ecological characteristics with mitigation of wood-related hazards. Wood regimes vary across space and through time but can be inferred and quantified via direct measurements, reference sites, historical information, and numerical modeling. Classifying wood regimes with respect to wood process domains and quantifying the wood budget are valuable tools for assessing and managing rivers.
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Thierry","contributorId":216465,"corporation":false,"usgs":false,"family":"Micol","given":"Thierry","email":"","affiliations":[{"id":39445,"text":"Ligue pour la Protection des Oiseaux, Fonderies Royales, 8 rue du Docteur Pujos, Rochefort, France, Terres Australes et Antarctiques Françaises, rue Gabriel Dejean, Saint Pierre de la Réunion, France","active":true,"usgs":false}],"preferred":false,"id":764800,"contributorType":{"id":1,"text":"Authors"},"rank":48},{"text":"Butchart, Stuart H. M.","contributorId":216466,"corporation":false,"usgs":false,"family":"Butchart","given":"Stuart","email":"","middleInitial":"H. M.","affiliations":[{"id":39446,"text":"BirdLife International, Cambridge, United Kigndom, Department of Zoology, University of Cambridge, Cambridge, United Kigndom","active":true,"usgs":false}],"preferred":false,"id":764801,"contributorType":{"id":1,"text":"Authors"},"rank":49}]}} ,{"id":70203377,"text":"70203377 - 2019 - Energy allocation and feeding ecology of juvenile chum salmon (Oncorhynchus keta) during transition from freshwater to saltwater","interactions":[],"lastModifiedDate":"2019-05-10T08:26:26","indexId":"70203377","displayToPublicDate":"2019-03-27T13:44:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3093,"text":"Polar Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Energy allocation and feeding ecology of juvenile chum salmon (Oncorhynchus keta) during transition from freshwater to saltwater","title":"Energy allocation and feeding ecology of juvenile chum salmon (Oncorhynchus keta) during transition from freshwater to saltwater","docAbstract":"Pacific salmon (Oncorhynchus spp.) populations near their northern range extent in the Arctic-Yukon-Kuskokwim region of Alaska have undergone major changes in population trajectory and illuminated the lack of basic information on juvenile ecology. This study fills information gaps on the early life history of chum salmon at northern latitudes. Energy allocation was examined in the context of distribution, feeding intensity, and diet during a critical life history period for a single cohort of juvenile chum salmon (O. keta) as they transition from freshwater to saltwater in Kuskokwim Bay from mid-May to early June. Juvenile chum salmon were primarily captured in the river mouth and plume. Energy density (kJ g−1 dry mass) was related to fork length, timing (day-of-year), and capture location in a general additive model. The smallest fish had slightly higher energy densities, but the change in energy density with fish size was minimal and consistent with allocating energy toward somatic growth rather than lipid storage. Fish captured earlier had higher energy density, likely reflecting the presence of residual yolk lipids during early migration. Fish captured in the river mouth and plume had higher energy densities. Feeding intensity was highest among small fish captured later within the river plume. Diet was dominated by surface prey (insects and calanoid copepods) rather than epibenthic harpacticoid copepods as commonly observed. These results provide the first data on energy allocation of juvenile chum salmon during a critical life history phase and suggest that somatic growth is prioritized over storing lipid at saltwater entry.","language":"English","publisher":"Springer","doi":"10.1007/s00300-018-2297-2","usgsCitation":"Burril, S.E., von Biela, V.R., Hillbruber, N., and Zimmerman, C.E., 2019, Energy allocation and feeding ecology of juvenile chum salmon (Oncorhynchus keta) during transition from freshwater to saltwater: Polar Biology, v. 41, no. 7, p. 1447-1461, https://doi.org/10.1007/s00300-018-2297-2.","productDescription":"15 p.","startPage":"1447","endPage":"1461","ipdsId":"IP-087552","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":363648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kuskokwim Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -168.0,58.35 ], [ -168.0,61.0 ], [ -158.0,61.0 ], [ -158.0,58.35 ], [ -168.0,58.35 ] ] ] } } ] }","volume":"41","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Burril, Sean E.","contributorId":215441,"corporation":false,"usgs":false,"family":"Burril","given":"Sean","email":"","middleInitial":"E.","affiliations":[{"id":39248,"text":"College of Fisheries and Ocean Sciences, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":762388,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"von Biela, Vanessa R. 0000-0002-7139-5981 vvonbiela@usgs.gov","orcid":"https://orcid.org/0000-0002-7139-5981","contributorId":3104,"corporation":false,"usgs":true,"family":"von Biela","given":"Vanessa","email":"vvonbiela@usgs.gov","middleInitial":"R.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":762387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hillbruber, Nicola","contributorId":215442,"corporation":false,"usgs":false,"family":"Hillbruber","given":"Nicola","email":"","affiliations":[{"id":39248,"text":"College of Fisheries and Ocean Sciences, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":762389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":762390,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202634,"text":"ds1109 - 2019 - Distribution and abundance of Least Bell’s Vireos (Vireo bellii pusillus) and Southwestern Willow Flycatchers (Empidonax traillii extimus) on the Middle San Luis Rey River, San Diego County, Southern California—2018 data summary","interactions":[],"lastModifiedDate":"2019-03-28T12:37:45","indexId":"ds1109","displayToPublicDate":"2019-03-27T13:34:19","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1109","displayTitle":"Distribution and Abundance of Least Bell’s Vireos (Vireo bellii pusillus) and Southwestern Willow Flycatchers (Empidonax traillii extimus) on the Middle San Luis Rey River, San Diego County, Southern California—2018 Data Summary","title":"Distribution and abundance of Least Bell’s Vireos (Vireo bellii pusillus) and Southwestern Willow Flycatchers (Empidonax traillii extimus) on the Middle San Luis Rey River, San Diego County, Southern California—2018 data summary","docAbstract":"Mars is dry today, but numerous precipitation-fed paleo-rivers are found across the planet’s surface. These rivers’ existence is a challenge to models of planetary climate evolution. We report results indicating that, for a given catchment area, rivers on Mars were wider than rivers on Earth today. We use the scale (width and wavelength) of Mars paleo-rivers as a proxy for past runoff production. Using multiple methods, we infer that intense runoff production of >(3–20) kg/m2 per day persisted until <3 billion years (Ga) ago and probably <1 Ga ago, and was globally distributed. Therefore, the intense runoff production inferred from the results of the Mars Science Laboratory rover was not a short-lived or local anomaly. Rather, precipitation-fed runoff production was globally distributed, was intense, and persisted intermittently over >1 Ga. Our improved history of Mars’ river runoff places new constraints on the unknown mechanism that caused wet climates on Mars.
","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.aav7710","usgsCitation":"Kite, E.S., Mayer, D., Wilson, S., Davis, J.M., Lucas, A.S., and Stucky de Quay, G., 2019, Persistence of intense, climate-driven runoff late in Mars history: Science Advances, v. 5, no. 3, eaav7710, 8 p., https://doi.org/10.1126/sciadv.aav7710.","productDescription":"eaav7710, 8 p.","ipdsId":"IP-106199","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":467774,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.aav7710","text":"Publisher Index Page"},{"id":367006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kite, Edwin S. 0000-0002-1426-1186","orcid":"https://orcid.org/0000-0002-1426-1186","contributorId":218512,"corporation":false,"usgs":false,"family":"Kite","given":"Edwin","email":"","middleInitial":"S.","affiliations":[{"id":36705,"text":"University of Chicago","active":true,"usgs":false}],"preferred":false,"id":769456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mayer, David 0000-0001-8351-1807","orcid":"https://orcid.org/0000-0001-8351-1807","contributorId":215429,"corporation":false,"usgs":true,"family":"Mayer","given":"David","email":"","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":769455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Sharon A.","contributorId":211099,"corporation":false,"usgs":false,"family":"Wilson","given":"Sharon A.","affiliations":[{"id":24731,"text":"Center for Earth and Planetary Studies, National Air and Space Museum, Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":769457,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Joel M.","contributorId":218593,"corporation":false,"usgs":false,"family":"Davis","given":"Joel","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":769458,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lucas, Antoine S. 0000-0003-2192-4416","orcid":"https://orcid.org/0000-0003-2192-4416","contributorId":218514,"corporation":false,"usgs":false,"family":"Lucas","given":"Antoine","email":"","middleInitial":"S.","affiliations":[{"id":37956,"text":"Centre National de la Recherche Scientifique","active":true,"usgs":false}],"preferred":false,"id":769459,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stucky de Quay, Gaia","contributorId":218515,"corporation":false,"usgs":false,"family":"Stucky de Quay","given":"Gaia","email":"","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":769460,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70202669,"text":"ofr20191028 - 2019 - Measurement of long-term channel change through repeated cross-section surveys at bridge crossings in Alaska","interactions":[],"lastModifiedDate":"2019-03-28T12:48:22","indexId":"ofr20191028","displayToPublicDate":"2019-03-27T10:38:12","publicationYear":"2019","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":"2019-1028","displayTitle":"Measurement of Long-Term Channel Change Through Repeated Cross-Section Surveys at Bridge Crossings in Alaska","title":"Measurement of long-term channel change through repeated cross-section surveys at bridge crossings in Alaska","docAbstract":"The U.S. Geological Survey (USGS) has been working with Alaska Department of Transportation and Public Facilities (ADOT&PF) since 1993 to provide hydraulic assessments of scour for bridges throughout Alaska. The purpose of the program is to evaluate, monitor, and study streambed scour at bridges in Alaska; this includes surveying streambed elevations at regular intervals and monitoring real-time bed elevation changes. Over the duration of the scour program (1994–2017), repeated cross sections have been surveyed along the lengths of 76 bridges. Channel soundings are depth-from-bridge measurements on either the upstream or downstream side of a bridge. Flow, depth, and velocity dictated whether streambed elevations were measured using either USGS sounding weights on cable reels, weighted measuring tapes, or acoustic Doppler current profilers. The soundings were done on an annual basis at most sites. In addition to annual soundings, channel soundings were made during floods or periods of scour. Results show that general scour can be uniform or non-uniform across the channel. The magnitude and distribution of scour across the channel are influenced by several factors that include streambed sediment type, degree of channel contraction at the bridge crossing, influence of instream structures, and bridge pier location and alignment. The data collected from the repeat soundings can be used to identify long-term aggradation or degradation of the streambed, as well as seasonal changes in streambed elevations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191028","collaboration":"Prepared in cooperation with the Alaska Department of Transportation and Public Facilities","usgsCitation":"Dworsky, K.L., and Conaway, J.S., 2019, Measurement of long-term channel change through repeated cross-section surveys at bridge crossings in Alaska: U.S. Geological Survey Open-File Report 2019-1028, 118 p., https://doi.org/10.3133/ofr20191028.","productDescription":"Report: vii, 118 p.; 2 Appendices","numberOfPages":"130","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-101816","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":437525,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9G663NX","text":"USGS data release","linkHelpText":"Sounding Cross Section Surveys at Alaska Bridge Crossings"},{"id":362475,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1028/coverthb.jpg"},{"id":362477,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1028/ofr20191028_appendix01.xlsx","text":"Appendix 1","size":"2.6 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2019-1028 Appendix 1"},{"id":362476,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1028/ofr20191028.pdf","text":"Report","size":"13.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1028"},{"id":362478,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2019/1028/ofr20191028_appendix02.pdf","text":"Appendix 2","size":"4.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1028 Appendix 2"}],"country":"United States","state":"Alaska","contact":"Director, Alaska Science Center
U.S. Geological Survey
4210 University Drive
Anchorage, Alaska 99508
A new species of mastodon from the Pleistocene of western North America, Mammut pacificus sp. nov. is herein recognized, with specimens identified throughout California and from two localities in southern Idaho. This new taxon differs from the contemporaneous M. americanum in having narrower teeth, most prominently in M3/m3, as well as six sacral vertebrae, femur with a proportionally greater mid-shaft diameter, and no mandibular tusks at any growth stage. All known Pleistocene Mammut remains from California are consistent with our diagnosis of M. pacificus, which indicates that M. americanum was not present in California.
","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.6614","usgsCitation":"Dooley, A.C., Scott, E., Green, J., Springer, K.B., Dooley, B., and Smith, G., 2019, Mammut pacificus sp. nov., a newly recognized species of mastodon from the Pleistocene of western North America: PeerJ, v. 7, e6614, 58 p., https://doi.org/10.7717/peerj.6614.","productDescription":"e6614, 58 p.","ipdsId":"IP-102635","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":467775,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.6614","text":"Publisher Index Page"},{"id":366900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -129.7265625,\n 17.811456088564483\n ],\n [\n -64.86328125,\n 17.811456088564483\n ],\n [\n -64.86328125,\n 51.83577752045248\n ],\n [\n -129.7265625,\n 51.83577752045248\n ],\n [\n -129.7265625,\n 17.811456088564483\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Dooley, Alton C","contributorId":218421,"corporation":false,"usgs":false,"family":"Dooley","given":"Alton","email":"","middleInitial":"C","affiliations":[],"preferred":false,"id":769172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, Eric","contributorId":127422,"corporation":false,"usgs":false,"family":"Scott","given":"Eric","email":"","affiliations":[],"preferred":false,"id":769173,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, Jeremy","contributorId":218400,"corporation":false,"usgs":false,"family":"Green","given":"Jeremy","email":"","affiliations":[],"preferred":false,"id":769174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Springer, Kathleen B. 0000-0002-2404-0264 kspringer@usgs.gov","orcid":"https://orcid.org/0000-0002-2404-0264","contributorId":149826,"corporation":false,"usgs":true,"family":"Springer","given":"Kathleen","email":"kspringer@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":769171,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dooley, Brett","contributorId":218401,"corporation":false,"usgs":false,"family":"Dooley","given":"Brett","email":"","affiliations":[],"preferred":false,"id":769175,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Gregory J.","contributorId":218402,"corporation":false,"usgs":false,"family":"Smith","given":"Gregory J.","affiliations":[],"preferred":false,"id":769176,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}