Avian habitat selection occurs at multiple spatial scales to incorporate life history requirements. Breeding habitat of Golden-winged Warblers (Vermivora chrysoptera) is characterized by largely forested landscapes containing natural or anthropogenic disturbance elements that maintain forest patches in early stages of succession. Breeding habitat occurs in a variety of settings, including shrub and forest swamps, regenerating forests following timber harvest, grazed pastures, and reclaimed mined lands. We identified structural components of nest sites for Golden-winged Warblers by measuring habitat characteristics across five states (North Carolina, New York, Pennsylvania, Tennessee, and West Virginia) in the Appalachian breeding-distribution segment and two states (Minnesota and Wisconsin) in the Great Lakes breeding-distribution segment. We measured habitat characteristics at the nest-site scale with a series of nested plots characterizing herbaceous vegetation (grasses and forbs), woody shrubs and saplings, and overstory trees. We measured similar variables at paired random plots located 25–50 m from the nest within the same territory to evaluate selection. We used conditional logistical regression to identify which parameters were important in habitat selection and Simple Saddlepoint Approximation (SSA) to aid in management interpretation of identified parameters for each study site. Study site was an important determinant for which parameters were significant in nest-site selection, although selection for some parameters was consistent across sites. The amount of woody cover at the nest-site scale was consistently present in the top nest-site selection models across sites, although the direction of the relationship was not the same across all sites. We also identified grass, forb, woody cover, and vegetation density as important components of Golden-winged Warbler nest-site selection. Based on SSA, we identified vegetation thresholds to aid in designing habitat management prescriptions to promote creation or restoration of Golden-winged Warbler nesting habitat across the eastern portion of their breeding distribution.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Golden-winged Warbler ecology, conservation, and habitat management (Studies in Avian Biology, volume 49)","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","publisherLocation":"Boca Raton, FL","isbn":"978-1-4822-4068-9","usgsCitation":"Terhune, T.M., Aldinger, K.R., Buehler, D.A., Flaspohler, D.J., Larkin, J.L., Loegering, J.P., Percy, K.L., Roth, A.M., Smalling, C.G., and Wood, P., 2016, Golden-winged Warbler nest-site habitat selection: Chapter 7, chap. 7 of Golden-winged Warbler ecology, conservation, and habitat management (Studies in Avian Biology, volume 49): Studies in Avian Biology, v. 49, p. 109-125.","productDescription":"17 p.","startPage":"109","endPage":"125","ipdsId":"IP-052635","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340750,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340749,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/11299/189700"}],"volume":"49","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59099aaee4b0fc4e449157f0","contributors":{"authors":[{"text":"Terhune, Theron M. 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Indiana University of Pennsylvania","active":true,"usgs":false},{"id":17929,"text":"American Bird Conservancy","active":true,"usgs":false}],"preferred":false,"id":693994,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Loegering, John P.","contributorId":166933,"corporation":false,"usgs":false,"family":"Loegering","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":33353,"text":"University of Minnesota, Crookston","active":true,"usgs":false}],"preferred":false,"id":693995,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Percy, Katie L.","contributorId":191722,"corporation":false,"usgs":false,"family":"Percy","given":"Katie","email":"","middleInitial":"L.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":693996,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Roth, Amber M.","contributorId":191723,"corporation":false,"usgs":false,"family":"Roth","given":"Amber","email":"","middleInitial":"M.","affiliations":[{"id":27866,"text":"University of Maine, Department of Wildlife, Fisheries, and Conservation Biology, Orono, ME","active":true,"usgs":false},{"id":25614,"text":"School of Forest Resources, University of Maine","active":true,"usgs":false},{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":693997,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smalling, Curtis G.","contributorId":191724,"corporation":false,"usgs":false,"family":"Smalling","given":"Curtis","email":"","middleInitial":"G.","affiliations":[{"id":33352,"text":"Audubon North Carolina","active":true,"usgs":false}],"preferred":false,"id":693998,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wood, Petra pbwood@usgs.gov","contributorId":169812,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","affiliations":[{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":693999,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70188442,"text":"70188442 - 2016 - Loamy, two-storied soils on the outwash plains of southwestern lower Michigan: Pedoturbation of loess with the underlying sand","interactions":[],"lastModifiedDate":"2018-03-26T13:43:31","indexId":"70188442","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5419,"text":"Annals of the American Association of Geographers","active":true,"publicationSubtype":{"id":10}},"title":"Loamy, two-storied soils on the outwash plains of southwestern lower Michigan: Pedoturbation of loess with the underlying sand","docAbstract":"Soils on many of the outwash plains in southwestern Michigan have loamy upper profiles, despite being underlain by sand-textured outwash. The origin of this upper, loamy material has long been unknown. The purpose of this study is to analyze the spatio-textural characteristics of these loamy-textured sediments to ascertain their origin(s). The textural curves of this material have distinct bimodality, with clear silt and sand peaks. Because the sand peaks align with those in the outwash below, we conclude that the upper material is a mixture of an initially silty material with the sand from below, forming loamy textures. By applying a textural filtering operation to the data, we determined its original characteristics; nearly all of the soils originally had silt loam upper profiles, typical for loess. Field data showed that the loamy material is thickest east of a broad, north–south trending valley (the Niles-Thornapple Spillway) that once carried glacial meltwater. The material becomes thinner, generally better sorted, and finer in texture eastward, away from this channel. We conclude that the loamy mantle on many of the adjacent outwash plains is silt-rich loess, derived from the Niles-Thornapple Spillway and its tributary channels and transported on mainly westerly winds. The spillway was active between ca. 17.3 and 16.8 k cal. years ago. At this time, a large network of tunnel channels existed beneath the stagnant Saginaw lobe ice. Meltwater from the lobe funneled silt-rich sediment into the spillway, rendering it a prodigious silt source.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00045608.2015.1115388","usgsCitation":"Luehmann, M.D., Peter, B.G., Connallon, C.B., Schaetzl, R.J., Smidt, S.J., Liu, W., Kincare, K.A., Walkowiak, T.A., Thorlund, E., and Holler, M.S., 2016, Loamy, two-storied soils on the outwash plains of southwestern lower Michigan: Pedoturbation of loess with the underlying sand: Annals of the American Association of Geographers, v. 106, no. 3, p. 551-572, https://doi.org/10.1080/00045608.2015.1115388.","productDescription":"22 p.","startPage":"551","endPage":"572","ipdsId":"IP-062646","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":342337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.85791015625,\n 41.76721469421018\n ],\n [\n -84.52880859375,\n 41.76721469421018\n ],\n [\n -84.52880859375,\n 42.767178634023345\n ],\n [\n -86.85791015625,\n 42.767178634023345\n ],\n [\n -86.85791015625,\n 41.76721469421018\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"106","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-29","publicationStatus":"PW","scienceBaseUri":"593bb3a5e4b0764e6c60e7c9","contributors":{"authors":[{"text":"Luehmann, Michael D.","contributorId":192812,"corporation":false,"usgs":false,"family":"Luehmann","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":697773,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peter, Brad G.","contributorId":192813,"corporation":false,"usgs":false,"family":"Peter","given":"Brad","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":697774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Connallon, Christopher B.","contributorId":192814,"corporation":false,"usgs":false,"family":"Connallon","given":"Christopher","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":697775,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schaetzl, Randall J.","contributorId":192815,"corporation":false,"usgs":false,"family":"Schaetzl","given":"Randall","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":697776,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smidt, Samuel J. 0000-0001-7728-2083","orcid":"https://orcid.org/0000-0001-7728-2083","contributorId":192816,"corporation":false,"usgs":false,"family":"Smidt","given":"Samuel","email":"","middleInitial":"J.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":697777,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Wei","contributorId":192817,"corporation":false,"usgs":false,"family":"Liu","given":"Wei","email":"","affiliations":[],"preferred":false,"id":697778,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kincare, Kevin A. 0000-0002-1050-3627 kkincare@usgs.gov","orcid":"https://orcid.org/0000-0002-1050-3627","contributorId":2106,"corporation":false,"usgs":true,"family":"Kincare","given":"Kevin","email":"kkincare@usgs.gov","middleInitial":"A.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":697772,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Walkowiak, Toni A.","contributorId":192818,"corporation":false,"usgs":false,"family":"Walkowiak","given":"Toni","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":697779,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thorlund, Elin","contributorId":192819,"corporation":false,"usgs":false,"family":"Thorlund","given":"Elin","email":"","affiliations":[],"preferred":false,"id":697780,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Holler, Marie S.","contributorId":192820,"corporation":false,"usgs":false,"family":"Holler","given":"Marie","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":697781,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70188523,"text":"70188523 - 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\"}}]}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeea59e4b0da30c1bfc601","contributors":{"editors":[{"text":"Bailey, Christopher M.","contributorId":70503,"corporation":false,"usgs":true,"family":"Bailey","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":728224,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Sherwood, W. Cullen","contributorId":12588,"corporation":false,"usgs":false,"family":"Sherwood","given":"W.","email":"","middleInitial":"Cullen","affiliations":[],"preferred":false,"id":728225,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Eaton, L. Scott lse5a@usgs.gov","contributorId":67582,"corporation":false,"usgs":true,"family":"Eaton","given":"L.","email":"lse5a@usgs.gov","middleInitial":"Scott","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":728226,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Powars, David S. 0000-0002-6787-8964 dspowars@usgs.gov","orcid":"https://orcid.org/0000-0002-6787-8964","contributorId":1181,"corporation":false,"usgs":true,"family":"Powars","given":"David","email":"dspowars@usgs.gov","middleInitial":"S.","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":728227,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Smoot, Joseph P. 0000-0002-5064-8070 jpsmoot@usgs.gov","orcid":"https://orcid.org/0000-0002-5064-8070","contributorId":2742,"corporation":false,"usgs":true,"family":"Smoot","given":"Joseph","email":"jpsmoot@usgs.gov","middleInitial":"P.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":698133,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70193404,"text":"70193404 - 2016 - Geologic and geophysical maps and volcanic history of the Kelton Pass SE and Monument Peak SW Quadrangles, Box Elder County, Utah","interactions":[],"lastModifiedDate":"2018-02-13T15:27:39","indexId":"70193404","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5627,"text":"Miscellaneous Publication","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"16-1DM","title":"Geologic and geophysical maps and volcanic history of the Kelton Pass SE and Monument Peak SW Quadrangles, Box Elder County, Utah","docAbstract":"The Kelton Pass SE and Monument Peak SW 7.5' quadrangles are located in Box Elder County, northwestern Utah (figure 1; plate 1). The northern boundary of the map area is 8.5 miles (13.7 km) south of the Utah-Idaho border, and the southern boundary reaches the edge of mud flats at the north end of Great Salt Lake. Elevations range from 4218 feet (1286 m) along the mud flats to 5078 feet (1548 m) in the Wildcat Hills. Deep Creek forms a prominent drainage between the Wildcat Hills and Cedar Hill. The closest towns are the ranching communities of Snowville, Utah (10 miles [16 km] to the northeast) (figure 1), and Park Valley, Utah (10 miles [16 km] to the west).
The Kelton Pass SE and Monument Peak SW 7.5' quadrangles are located entirely within southern Curlew Valley, which drains south into Great Salt Lake, and extends north of the area shown on figure 1 into Idaho. Curlew Valley is bounded on the west by the Raft River Mountains and on the east by the Hansel Mountains (figure 1). Sedimentary and volcanic bedrock exposures within the quadrangles form the Wildcat Hills, Cedar Hill, and informally named Middle Shield (figure 1). Exposed rocks and deposits are Permian to Holocene in age, and include the Permian quartz sandstone and orthoquartzite of the Oquirrh Formation (Pos), tuffaceous sedimentary rocks of the Miocene Salt Lake Formation (Ts), Pliocene basaltic lava flows (Tb) and dacite (Tdw), Pleistocene rhyolite (Qrw) and basalt (Qb), and Pleistocene and Holocene surficial deposits of alluvial, lacustrine, and eolian origin. Structurally, the map area is situated in the northeastern Basin and Range Province, and is inferred to lie within the hanging wall of the late Miocene detachment faults exposed in the Raft River Mountains to the northwest (e.g., Wells, 1992, 2009; figure 1).
This mapping project was undertaken to produce a comprehensive, large-scale geologic map of the Wildcat Hills, as well as to improve understanding of the volcanic and tectonic evolution of southern Curlew Valley. The resultant publication includes a geologic map of the Kelton Pass SE and Monument Peak SW quadrangles (plate 1), two interpretive geologic cross sections (plate 2), new geophysical data and interpretations, and new geochronology data for volcanic units within and near the quadrangles.
","language":"English","publisher":"Utah Department of Natural Resources","usgsCitation":"Felger, T.J., Miller, D., Langenheim, V., and Fleck, R.J., 2016, Geologic and geophysical maps and volcanic history of the Kelton Pass SE and Monument Peak SW Quadrangles, Box Elder County, Utah: Miscellaneous Publication 16-1DM, Report: 34 p.; 2 Plates.","productDescription":"Report: 34 p.; 2 Plates","ipdsId":"IP-032395","costCenters":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":351555,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347973,"type":{"id":11,"text":"Document"},"url":"https://ugspub.nr.utah.gov/publications/misc_pubs/mp-16-1.pdf"}],"country":"United States","state":"Utah","county":"Box Elder County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.125,\n 41.875\n ],\n [\n -112.875,\n 41.875\n ],\n [\n -112.875,\n 41.75\n ],\n [\n -113.125,\n 41.75\n ],\n [\n -113.125,\n 41.875\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeea4be4b0da30c1bfc5e1","contributors":{"authors":[{"text":"Felger, Tracey J. 0000-0003-0841-4235 tfelger@usgs.gov","orcid":"https://orcid.org/0000-0003-0841-4235","contributorId":1117,"corporation":false,"usgs":true,"family":"Felger","given":"Tracey","email":"tfelger@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":718917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":718915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":151042,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":718918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fleck, Robert J. 0000-0002-3149-8249 fleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3149-8249","contributorId":1048,"corporation":false,"usgs":true,"family":"Fleck","given":"Robert","email":"fleck@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":718916,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187351,"text":"70187351 - 2016 - Geomorphic evolution of the San Luis Basin and Rio Grande in southern Colorado and northern New Mexico","interactions":[],"lastModifiedDate":"2017-05-01T15:05:10","indexId":"70187351","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1724,"text":"GSA Field Guides","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphic evolution of the San Luis Basin and Rio Grande in southern Colorado and northern New Mexico","docAbstract":"The San Luis Basin encompasses the largest structural and hydrologic basin of the Rio Grande rift. On this field trip, we will examine the timing of transition of the San Luis Basin from hydrologically closed, aggrading subbasins to a continuous fluvial system that eroded the basin, formed the Rio Grande gorge, and ultimately, integrated the Rio Grande from Colorado to the Gulf of Mexico. Waning Pleistocene neotectonic activity and onset of major glacial episodes, in particular Marine Isotope Stages 11–2 (~420–14 ka), induced basin fill, spillover, and erosion of the southern San Luis Basin. The combined use of new geologic mapping, fluvial geomorphology, reinterpreted surficial geology of the Taos Plateau, pedogenic relative dating studies, 3He surface exposure dating of basalts, and U-series dating of pedogenic carbonate supports a sequence of events wherein pluvial Lake Alamosa in the northern San Luis Basin overflowed, and began to drain to the south across the closed Sunshine Valley–Costilla Plain region ≤400 ka. By ~200 ka, erosion had cut through topographic highs at Ute Mountain and the Red River fault zone, and began deep-canyon incision across the southern San Luis Basin. Previous studies indicate that prior to 200 ka, the present Rio Grande terminated into a large bolson complex in the vicinity of El Paso, Texas, and systematic, headward erosional processes had subtly integrated discontinuously connected basins along the eastern flank of the Rio Grande rift and southern Rocky Mountains. We propose that the integration of the entire San Luis Basin into the Rio Grande drainage system (~400–200 ka) was the critical event in the formation of the modern Rio Grande, integrating hinterland basins of the Rio Grande rift from El Paso, Texas, north to the San Luis Basin with the Gulf of Mexico. This event dramatically affected basins southeast of El Paso, Texas, across the Chisos Mountains and southeastern Basin and Range province, including the Rio Conchos watershed and much of the Chihuahuan Desert, inducing broad regional landscape incision and exhumation.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/2016.0044(13)","usgsCitation":"Ruleman, C.A., Machette, M., Thompson, R.A., Miggins, D.M., Goehring, B.M., and Paces, J.B., 2016, Geomorphic evolution of the San Luis Basin and Rio Grande in southern Colorado and northern New Mexico: GSA Field Guides, v. 44, p. 291-333, https://doi.org/10.1130/2016.0044(13).","productDescription":"43 p.","startPage":"291","endPage":"333","ipdsId":"IP-076013","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":340697,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":" Colorado, New Mexico","otherGeospatial":"Rio Grande, San Luis Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105,\n 36.2\n ],\n [\n -106.5,\n 36.2\n ],\n [\n -106.5,\n 38.5\n ],\n [\n -105,\n 38.5\n ],\n [\n -105,\n 36.2\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59084929e4b0fc4e448ffd56","contributors":{"authors":[{"text":"Ruleman, Chester A. 0000-0002-1503-4591 cruleman@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-4591","contributorId":1264,"corporation":false,"usgs":true,"family":"Ruleman","given":"Chester","email":"cruleman@usgs.gov","middleInitial":"A.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Machette, Michael","contributorId":191604,"corporation":false,"usgs":false,"family":"Machette","given":"Michael","affiliations":[],"preferred":false,"id":693584,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Ren A. 0000-0002-3044-3043 rathomps@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-3043","contributorId":1265,"corporation":false,"usgs":true,"family":"Thompson","given":"Ren","email":"rathomps@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miggins, Dan M","contributorId":191605,"corporation":false,"usgs":false,"family":"Miggins","given":"Dan","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":693585,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goehring, Brent M","contributorId":191606,"corporation":false,"usgs":false,"family":"Goehring","given":"Brent","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":693586,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paces, James B. 0000-0002-9809-8493 jbpaces@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":2514,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"jbpaces@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693587,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70168561,"text":"70168561 - 2016 - Analysis and interpretation of stress indicators in deviated wells of the Coso Geothermal Field","interactions":[],"lastModifiedDate":"2017-04-25T10:40:49","indexId":"70168561","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Analysis and interpretation of stress indicators in deviated wells of the Coso Geothermal Field","docAbstract":"Characterizing the tectonic stress field is an integral part of the development of hydrothermal systems and especially for enhanced geothermal systems (EGS). With a well characterized stress field the propensity of fault slip on faults with known location and orientation can be identified. Faults that are critically oriented for faulting with respect to the stress field are known to provide natural fluid pathways. A high slip tendency makes a fault a likely candidate for reactivation during the creation of an EGS. Similarly, the stress state provides insight for the potential of larger, damaging earthquakes should extensive portions of well-oriented, larger faults be reactivated.
The analysis of stress indicators such as drilling-induced fractures and borehole breakouts is the main tool to infer information on the stress state of a geothermal reservoir. The standard procedure is applicable to sub-vertical wellbore sections and highly deviated sections have to be discarded. However, in order to save costs and reduce the environmental impact most recent wells are directionally drilled with deviations that require appropriate consideration of the deviated trajectory. Here we present an analysis scheme applicable to arbitrary well trajectories or a combination of wells to infer the stress state. Through the sampling of the stress tensor along several directions additional information on the stress regime and even relative stress magnitudes can be obtained.
We apply this method on image logs from the pair of wells 58-10 and 58A-10 that were drilled from the same well pad. Both wells have image logs of about 2km of their trajectories that are separated by less than 300m. For both wells we obtain a mean orientation of SHmax of N23° with large standard deviations of locations of stress indicators of 24° and 26°, respectively. While the local stress direction is highly variable along both wells with dominant wavelengths from around 50 to 500m, the mean directions are very consistent and also agree with previous stress estimates in the eastern part of the Coso Geothermal Field. In order to obtain a reliable estimation of the stress orientation in this setting, it is necessary to sample the stress field on an interval long to capture several of the dominant wavelengths.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 41st workshop on geothermal reservoir engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"41st Workshop on Geothermal Reservoir Engineering","conferenceDate":"February 22-24, 2016","conferenceLocation":"Stanford, CA","language":"English","publisher":"Stanford Geothermal Program","publisherLocation":"Stanford, CA","isbn":"9781510824331","usgsCitation":"Schoenball, M., Glen, J.M., and Davatzes, N.C., 2016, Analysis and interpretation of stress indicators in deviated wells of the Coso Geothermal Field, in Proceedings of the 41st workshop on geothermal reservoir engineering, Stanford, CA, February 22-24, 2016, p. 1169-1180.","productDescription":"12 p.","startPage":"1169","endPage":"1180","ipdsId":"IP-072986","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":340128,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pangea.stanford.edu/ERE/db/IGAstandard/record_detail.php?id=26520"},{"id":340129,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Coso Geothermal Field","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ff0e9fe4b006455f2d61c8","contributors":{"authors":[{"text":"Schoenball, Martin mschoenball@usgs.gov","contributorId":5760,"corporation":false,"usgs":true,"family":"Schoenball","given":"Martin","email":"mschoenball@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":620913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glen, Jonathan M. G. jglen@usgs.gov","contributorId":1753,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M. G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":620914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davatzes, Nicholas C.","contributorId":138855,"corporation":false,"usgs":false,"family":"Davatzes","given":"Nicholas","email":"","middleInitial":"C.","affiliations":[{"id":12547,"text":"Temple University","active":true,"usgs":false}],"preferred":false,"id":620915,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70180371,"text":"70180371 - 2016 - Potentiometric surface and water-level difference maps of selected confined aquifers in Southern Maryland and Maryland’s Eastern Shore, 1975-2015","interactions":[],"lastModifiedDate":"2017-02-16T15:41:14","indexId":"70180371","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Potentiometric surface and water-level difference maps of selected confined aquifers in Southern Maryland and Maryland’s Eastern Shore, 1975-2015","docAbstract":"Key Results\r\n\r\nThis report presents potentiometric-surface maps of the Aquia and Magothy aquifers and the Upper Patapsco, Lower Patapsco, and Patuxent aquifer systems using water levels measured during September 2015. Water-level difference maps are also presented for these aquifers. The water-level differences in the Aquia aquifer are shown using groundwater-level data from 1982 and 2015, while the water-level differences are shown for the Magothy aquifer using data from 1975 and 2015. Water-level difference maps for both the Upper Patapsco and Lower Patapsco aquifer systems are shown using data from 1990 and 2015. The water-level differences in the Patuxent aquifer system are shown using groundwater-level data from 2007 and 2015.\r\n\r\nThe potentiometric surface maps show water levels ranging from 53 feet above sea level to 164 feet below sea level in the Aquia aquifer, from 86 feet above sea level to 106 feet below sea level in the Magothy aquifer, from 115 feet above sea level to 115 feet below sea level in the Upper Patapsco aquifer system, from 106 feet above sea level to 194 feet below sea level in the Lower Patapsco aquifer system, and from 165 feet above sea level to 171 feet below sea level in the Patuxent aquifer system. Water levels have declined by as much as 116 feet in the Aquia aquifer since 1982, 99 feet in the Magothy aquifer since 1975, 66 and 83 feet in the Upper Patapsco and Lower Patapsco aquifer systems, respectively, since 1990, and 80 feet in the Patuxent aquifer system since 2007.","language":"English","publisher":"Maryland Geological Survey","collaboration":"Maryland Geological Survey; Maryland Department of Natural Resources","usgsCitation":"Curtin, S.E., Staley, A.W., and Andreasen, D.C., 2016, Potentiometric surface and water-level difference maps of selected confined aquifers in Southern Maryland and Maryland’s Eastern Shore, 1975-2015, iii., 30 p. .","productDescription":"iii., 30 p. ","ipdsId":"IP-077192","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":335793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":334236,"type":{"id":15,"text":"Index Page"},"url":"https://www.mgs.md.gov/publications/report_pages/OFR_16-02-02.html"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a6c833e4b025c464286294","contributors":{"authors":[{"text":"Curtin, Stephen E. securtin@usgs.gov","contributorId":3703,"corporation":false,"usgs":true,"family":"Curtin","given":"Stephen","email":"securtin@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":661415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Staley, Andrew W.","contributorId":178867,"corporation":false,"usgs":false,"family":"Staley","given":"Andrew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":661416,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andreasen, David C.","contributorId":178868,"corporation":false,"usgs":false,"family":"Andreasen","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":661417,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70194032,"text":"70194032 - 2016 - Animated tectonic reconstruction of the Lower Colorado River region: Implications for Late Miocene to Present deformation","interactions":[],"lastModifiedDate":"2017-12-11T15:18:00","indexId":"70194032","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Animated tectonic reconstruction of the Lower Colorado River region: Implications for Late Miocene to Present deformation","docAbstract":"Although the majority of late Miocene to present Pacific-North America plate boundary strain has been accommodated by faults of the San Andreas and Gulf of California systems, growing evidence of dextral shear east of the San Andreas Fault indicates that a component of plate boundary deformation occurred in the lower Colorado River (LoCR) region. Large-scale tectonic reconstructions across the Gulf of California and Salton Trough (GCAST) region (Fig. 1), a ~500 km-wide zone of deformation that affected the western margin of North America, provide important constraints on the location, timing, style, and magnitude of crustal deformation in the LoCR region (Fig. 2). Characterizing Miocene to present deformation in the LoCR region is important to resolve the presence and kinematics of upper crustal structures that accommodated intracontinental strain and improves our understanding of the processes that promoted localized or diffuse strain during reorganization of the Pacific-North America plate boundary.\nMap-view translations of crustal blocks influence the relative motions of adjacent blocks, an approach adhered to in global plate-circuit models (Atwater and Stock, 1998; 2013). Thus, a synthesis of the magnitude and timing of horizontal strain across a broad zone of distributed deformation can provide insight into processes of strain partitioning and potential kinematic links between adjacent structural domains. Furthermore, it can help prioritize and guide future work by identifying gaps in our understanding of plate boundary deformation and provide a degree of predictability for palinspastic reconstructions in areas where little information exists. At present, detailed geologic studies of crustal deformation related to the Pacific-North America plate boundary in the LoCR region are limited, leading to considerable uncertainty in the late Cenozoic tectonic evolution of the region. This uncertainty limits our understanding of how plate coupling evolves during the transition from a convergent margin to a transform margin.\nIn this paper, we utilize animated palinspastic fault-based reconstructions to evaluate the tectonic evolution of the LoCR region and to examine potential inconsistencies of the spatio-temporal evolution of the late Cenozoic Pacific-North America plate boundary. Based on revised palinspastic reconstructions and remaining inconsistencies, we hypothesize that (1) late Miocene transtensional faulting related to the Gulf of California shear zone and eastern California shear zone promoted tectonic subsidence in the LoCR region that permitted the subsequent southward lake spillover of the Colorado River and connection with the northern Gulf of California, (2) distributed Pliocene transtensional faulting likely occurred within the southern LoCR region, and is presently unaccounted for in most studies of geologic units related to the Pliocene Colorado River, and (3) the Chocolate Mountains anticlinorium can be reconstructed to a broadly linear, E-W-oriented structure at ca. 11 Ma, consistent with reconstruction of several other strain markers along the southern San Andreas Fault system.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Going LOCO Investigations along the Lower Colorado River - 2016 Desert Symposium Field Guide and Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"California State University Desert Studies Center","usgsCitation":"Bennett, S.E., Darin, M.H., Dorsey, R.J., Skinner, L.A., Umhoefer, P.J., and Oskin, M.E., 2016, Animated tectonic reconstruction of the Lower Colorado River region: Implications for Late Miocene to Present deformation, in Going LOCO Investigations along the Lower Colorado River - 2016 Desert Symposium Field Guide and Proceedings, p. 73-86.","productDescription":"14 p.","startPage":"73","endPage":"86","ipdsId":"IP-073735","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":349927,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":348753,"type":{"id":15,"text":"Index Page"},"url":"https://www.desertsymposium.org/"}],"country":"United States","otherGeospatial":"Lower Colorado River","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fd87e4b06e28e9c24fa8","contributors":{"authors":[{"text":"Bennett, Scott E.K. 0000-0002-9772-4122 sekbennett@usgs.gov","orcid":"https://orcid.org/0000-0002-9772-4122","contributorId":5340,"corporation":false,"usgs":true,"family":"Bennett","given":"Scott","email":"sekbennett@usgs.gov","middleInitial":"E.K.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":721946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Darin, Michael H.","contributorId":200333,"corporation":false,"usgs":false,"family":"Darin","given":"Michael","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":721947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dorsey, Rebecca J.","contributorId":167712,"corporation":false,"usgs":false,"family":"Dorsey","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":24813,"text":"University of Oregan","active":true,"usgs":false}],"preferred":false,"id":721948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skinner, Lisa A.","contributorId":200334,"corporation":false,"usgs":false,"family":"Skinner","given":"Lisa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":721949,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Umhoefer, Paul J.","contributorId":200335,"corporation":false,"usgs":false,"family":"Umhoefer","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721950,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oskin, Michael E.","contributorId":191806,"corporation":false,"usgs":false,"family":"Oskin","given":"Michael","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":721951,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70164513,"text":"70164513 - 2016 - Upper Maastrichtian ammonite biostratigraphy of the Gulf Coastal Plain (Mississippi Embayment, southern USA)","interactions":[],"lastModifiedDate":"2016-02-09T12:38:38","indexId":"70164513","displayToPublicDate":"2015-12-21T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1344,"text":"Cretaceous Research","active":true,"publicationSubtype":{"id":10}},"title":"Upper Maastrichtian ammonite biostratigraphy of the Gulf Coastal Plain (Mississippi Embayment, southern USA)","docAbstract":"The Cretaceous outcrop belt of the Mississippi Embayment in the Gulf Coastal Plain (GCP) spans the Cretaceous/Paleogene (K/Pg) boundary. A detailed reconstruction of this time interval is critical for understanding the nature of biotic and environmental changes preceding the end-Cretaceous Mass Extinction event and for deciphering the likely extinction mechanism (i.e., bolide impact versus volcanism). Eight sections encompassing the K/Pg succession across the Mississippi Embayment were analyzed using biostratigraphic sampling of ammonites, dinoflagellates, and nannofossils. An upper Maastrichtian ammonite zonation is proposed as follows, from oldest to youngest:Discoscaphites conradi Zone, D. minardi Zone, and D. iris Zone. Our study documents that the ammonite zonation established in the Atlantic Coastal Plain (ACP) extends to the GCP. This zonation is integrated with nannofossil and dinoflagellate biostratigraphy to provide a framework to more accurately determine the age relationships in this region. We demonstrate that ammonites and dinoflagellates are more reliable stratigraphic indicators in this area than nannofossils because age-diagnostic nannofossils are not consistently present within the upper Maastrichtian in the GCP. This biostratigraphic framework has the potential to become a useful tool for correlation of strata both within the GCP and between the GCP, Western Interior, and ACP. The presence of the uppermost Maastrichtian ammonite D. iris, calcareous nannofossil Micula prinsii, and dinoflagellates Palynodinium grallator and Disphaerogena carposphaeropsis suggests that the K/Pg succession in the GCP is nearly complete. Consequently, the GCP is an excellent setting for investigating fine scale temporal changes across the K/Pg boundary and ultimately elucidating the mechanisms causing extinction.
","language":"English","publisher":"Academic Press","doi":"10.1016/j.cretres.2015.11.010","usgsCitation":"Larina, E., Garb, M., Landman, N.H., Dastas, N., Thibault, N., Edwards, L.E., Phillips, G., Rovelli, R., Myers, C., and Naujokaityte, J., 2016, Upper Maastrichtian ammonite biostratigraphy of the Gulf Coastal Plain (Mississippi Embayment, southern USA): Cretaceous Research, v. 60, p. 128-151, https://doi.org/10.1016/j.cretres.2015.11.010.","productDescription":"24 p.","startPage":"128","endPage":"151","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070686","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":316738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Arkansas, Missouri, Mississippi","county":"Chickasaw County, Hot Springs County, Oktibbeha County, Stoddard County, Summer County, Tippah County, Union County, Wilcox County","otherGeospatial":"Gulf Coastal Plain, Mississippi Embayment","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.8671875,\n 31.653381399664\n ],\n [\n -93.8671875,\n 37.666429212090605\n ],\n [\n -86.37451171875,\n 37.666429212090605\n ],\n [\n -86.37451171875,\n 31.653381399664\n ],\n [\n -93.8671875,\n 31.653381399664\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"60","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56bb1bd2e4b08d617f654e81","contributors":{"authors":[{"text":"Larina, Ekaterina","contributorId":156370,"corporation":false,"usgs":false,"family":"Larina","given":"Ekaterina","email":"","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":597690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garb, Matthew P.","contributorId":6355,"corporation":false,"usgs":true,"family":"Garb","given":"Matthew P.","affiliations":[],"preferred":false,"id":597689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landman, Neil H.","contributorId":95779,"corporation":false,"usgs":true,"family":"Landman","given":"Neil","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":597691,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dastas, Natalie","contributorId":156371,"corporation":false,"usgs":false,"family":"Dastas","given":"Natalie","email":"","affiliations":[{"id":20331,"text":"Brooklyn College","active":true,"usgs":false}],"preferred":false,"id":597692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thibault, Nicolas","contributorId":156372,"corporation":false,"usgs":false,"family":"Thibault","given":"Nicolas","email":"","affiliations":[{"id":12672,"text":"University of Copenhagen","active":true,"usgs":false}],"preferred":false,"id":597693,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Edwards, Lucy E. 0000-0003-4075-3317 leedward@usgs.gov","orcid":"https://orcid.org/0000-0003-4075-3317","contributorId":2647,"corporation":false,"usgs":true,"family":"Edwards","given":"Lucy","email":"leedward@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":597688,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Phillips, George","contributorId":156373,"corporation":false,"usgs":false,"family":"Phillips","given":"George","email":"","affiliations":[{"id":20332,"text":"Museum of Natural Science","active":true,"usgs":false}],"preferred":false,"id":597694,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rovelli, Remy","contributorId":99447,"corporation":false,"usgs":true,"family":"Rovelli","given":"Remy","affiliations":[],"preferred":false,"id":597695,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Myers, Corinne","contributorId":156374,"corporation":false,"usgs":false,"family":"Myers","given":"Corinne","email":"","affiliations":[{"id":20333,"text":"The University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":597696,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Naujokaityte, Jone","contributorId":156375,"corporation":false,"usgs":false,"family":"Naujokaityte","given":"Jone","email":"","affiliations":[{"id":20331,"text":"Brooklyn College","active":true,"usgs":false}],"preferred":false,"id":597697,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70164524,"text":"70164524 - 2016 - Radiometric dating of marine-influenced coal using Re–Os geochronology","interactions":[],"lastModifiedDate":"2016-02-09T13:23:41","indexId":"70164524","displayToPublicDate":"2015-12-15T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Radiometric dating of marine-influenced coal using Re–Os geochronology","docAbstract":"Coal deposits are integral to understanding the structural evolution and thermal history of sedimentary basins and correlating contemporeous estuarine and fluvial delatic strata with marine sections. While marine shales may readily lend themselves to Re–Os dating due to the dominance of hydrogenous Re and Os, the lack of a chronometer for near-shore sedimentary environments hampers basinwide correlations in absolute time. Here, we employ the Re–Os geochronometer, along with total organic carbon (TOC) and Rock–Eval data, to determine the timing and conditions of a marine incursion at the top of the Matewan coal bed, Kanawha Formation, Pottsville Group, West Virginia, USA. The observed range for hydrogen index (HI: 267–290 mg hydrocarbon/gram total organic carbon) for these coal samples suggests dominance of aliphatic hydrocarbons with low carbon (<C19) chain length. Average Re (107.6±16.4 ng/g) and Os (0.52±0.09 ng/g) concentrations of the marine-influenced Matewan coal are higher by few orders of magnitude than published data for terrestrial coal. A Re–Os isochron for the Matewan coal provides an age of 325±14 Ma (Model 3; MSWD = 12; n=19; 2σ ). This is the first Re–Os age derived from coal samples; the age overlaps a new composite Re–Os age of 317±2 Ma for the immediately overlying Betsie Shale Member.
\nExternal precision for replicate Os analyses carried out for several Matewan coal samples shows a positive correlation with their HI. The HI, which is low in terrestrial organic matter, reflects the degree of marine influence. Thus, samples with the most profound marine influence also have the best analytical reproducibility. Equilibration of Os isotopes with seawater under marine conditions overwhelms variability inherited from terrestrial plant debris, decreasing scatter on the isochron. The 187Re/188Os ratios of the Matewan coal (∼3300–5135) are higher than most of those previously published for Phanerozoic black shale (mostly <2000). Mass balance calculations based on Re/TOC and Os/TOC ratios for the Matewan coal indicate that both Re and Os are primarily marine in origin, and their high 187Re/188Os ratios confirm efficient removal of both elements from a sulfidic water column into the coal. We show that Re–Os geochronology of marine-influenced coal can be a viable tool for constraining depositional ages.
\n\n
Understanding how multiple extrinsic (density-independent) factors and intrinsic (density-dependent) mechanisms influence population dynamics has become increasingly urgent in the face of rapidly changing climates. It is particularly unclear how multiple extrinsic factors with contrasting effects among seasons are related to declines in population numbers and changes in mean body size and whether there is a strong role for density-dependence. The primary goal of this study was to identify the roles of seasonal variation in climate driven environmental direct effects (mean stream flow and temperature) versus density-dependence on population size and mean body size in eastern brook trout (Salvelinus fontinalis). We use data from a 10-year capture-mark-recapture study of eastern brook trout in four streams in Western Massachusetts, USA to parameterize a discrete-time population projection model. The model integrates matrix modeling techniques used to characterize discrete population structures (age, habitat type and season) with integral projection models (IPMs) that characterize demographic rates as continuous functions of organismal traits (in this case body size). Using both stochastic and deterministic analyses we show that decreases in population size are due to changes in stream flow and temperature and that these changes are larger than what can be compensated for through density-dependent responses. We also show that the declines are due mostly to increasing mean stream temperatures decreasing the survival of the youngest age class. In contrast, increases in mean body size over the same period are the result of indirect changes in density with a lesser direct role of climate-driven environmental change.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13135","usgsCitation":"Bassar, R.D., Letcher, B.H., Nislow, K., and Whiteley, A.R., 2016, Changes in seasonal climate outpace compensatory density-dependence in eastern brook trout: Global Change Biology, v. 22, no. 2, p. 577-593, https://doi.org/10.1111/gcb.13135.","productDescription":"17 p.","startPage":"577","endPage":"593","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049250","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":311858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","city":"Whately","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.69275665283203,\n 42.40698116175213\n ],\n [\n -72.69275665283203,\n 42.469564487829516\n ],\n [\n -72.5925064086914,\n 42.469564487829516\n ],\n [\n -72.5925064086914,\n 42.40698116175213\n ],\n [\n -72.69275665283203,\n 42.40698116175213\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-06","publicationStatus":"PW","scienceBaseUri":"566167b6e4b06a3ea36c5653","contributors":{"authors":[{"text":"Bassar, Ronald D.","contributorId":150154,"corporation":false,"usgs":false,"family":"Bassar","given":"Ronald","email":"","middleInitial":"D.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":580858,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Letcher, Benjamin H. 0000-0003-0191-5678 bletcher@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":149617,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin","email":"bletcher@usgs.gov","middleInitial":"H.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":580857,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nislow, Keith H.","contributorId":60106,"corporation":false,"usgs":true,"family":"Nislow","given":"Keith H.","affiliations":[],"preferred":false,"id":580859,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whiteley, Andrew R.","contributorId":150155,"corporation":false,"usgs":false,"family":"Whiteley","given":"Andrew","email":"","middleInitial":"R.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":580860,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159840,"text":"70159840 - 2016 - Conservation genomics reveals multiple evolutionary units within Bell’s Vireo (Vireo bellii).","interactions":[],"lastModifiedDate":"2016-03-10T11:21:29","indexId":"70159840","displayToPublicDate":"2015-12-01T11:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Conservation genomics reveals multiple evolutionary units within Bell’s Vireo (Vireo bellii).","docAbstract":"The Bell’s Vireo (Vireo bellii) is a widespread North American species of bird that has declined since the mid-1960s primarily due to habitat modification. Throughout its range, Bell’s Vireo populations are regulated under varying degrees of protection; however, the species has never been characterized genetically. Therefore, the current taxonomy used to guide management decisions may misrepresent the true evolutionary history for the species. We sequenced 86 individuals for ND2 and genotyped 48 individuals for genome-wide SNPs to identify distinct lineages within Bell’s Vireo. Phylogenetic analyses uncovered two distinct clades that are separated in the arid southwestern United States, near the border of the Chihuahuan and Sonoran Deserts. These clades diverged from each other approximately 1.11–2.04 mya. The timing of diversification, geographic location, and niche modeling of the east/west divergence suggest vicariance as a mode of diversification for these two lineages. Analyses of the SNP dataset provided additional resolution and indicated the Least Bell’s Vireo populations are a distinct evolutionary lineage. Our genetic evidence, together with information from morphology and behavior, suggests that the Bell’s Vireo complex involves two species, each containing two separate subspecies. This new information has implications for the federal, state and other listing status of Bell’s Vireo throughout its range.
","language":"English","publisher":"Springer","doi":"10.1007/s10592-015-0796-z","usgsCitation":"Klicka, L.B., Kus, B., Title, P.O., and Burns, K.J., 2016, Conservation genomics reveals multiple evolutionary units within Bell’s Vireo (Vireo bellii).: Conservation Genetics, v. 17, no. 2, p. 455-471, https://doi.org/10.1007/s10592-015-0796-z.","productDescription":"17 p.","startPage":"455","endPage":"471","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066167","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":471416,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10592-015-0796-z","text":"Publisher Index Page"},{"id":311760,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Missouri, Nebraska, Nevada, Oklahoma, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.53125,\n 34.30714385628804\n ],\n [\n -117.66357421875,\n 37.35269280367274\n ],\n [\n -114.06005859375,\n 37.71859032558816\n ],\n [\n -94.68017578125,\n 37.579412513438385\n ],\n [\n -95.80078125,\n 40.613952441166596\n ],\n [\n -91.20849609375,\n 40.53050177574321\n ],\n [\n -89.93408203124999,\n 38.75408327579141\n ],\n [\n -94.04296874999999,\n 33.50475906922606\n ],\n [\n -99.33837890625,\n 27.00040800352175\n ],\n [\n -106.23779296875,\n 31.372399104880525\n ],\n [\n -111.1376953125,\n 31.27855085894653\n ],\n [\n -115.00488281250001,\n 32.54681317351514\n ],\n [\n -117.22412109375,\n 32.56533316084101\n ],\n [\n -119.53125,\n 34.30714385628804\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"17","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-25","publicationStatus":"PW","scienceBaseUri":"565ec4afe4b071e7ea544409","contributors":{"authors":[{"text":"Klicka, Luke B.","contributorId":150094,"corporation":false,"usgs":false,"family":"Klicka","given":"Luke","email":"","middleInitial":"B.","affiliations":[{"id":17910,"text":"San Diego State University, CA","active":true,"usgs":false}],"preferred":false,"id":580679,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":580678,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Title, Pascal O.","contributorId":150095,"corporation":false,"usgs":false,"family":"Title","given":"Pascal","email":"","middleInitial":"O.","affiliations":[{"id":17911,"text":"Dep't Ecology and Evolutionary Biology, U Michigan","active":true,"usgs":false}],"preferred":false,"id":580680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burns, Kevin J.","contributorId":150096,"corporation":false,"usgs":false,"family":"Burns","given":"Kevin","email":"","middleInitial":"J.","affiliations":[{"id":17912,"text":"Dep't Biology, San Diego State University, CA","active":true,"usgs":false}],"preferred":false,"id":580681,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70158684,"text":"ofr20151195 - 2016 - Profiles of reservoir properties of oil-bearing plays for selected petroleum provinces in the United States","interactions":[],"lastModifiedDate":"2018-07-31T10:13:13","indexId":"ofr20151195","displayToPublicDate":"2015-11-05T14:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1195","title":"Profiles of reservoir properties of oil-bearing plays for selected petroleum provinces in the United States","docAbstract":"Profiles of reservoir properties of oil-bearing plays for selected petroleum provinces in the United States were developed to characterize the database to be used for a potential assessment by the U.S. Geological Survey (USGS) of oil that would be technically recoverable by the application of enhanced oil recovery methods using injection of carbon dioxide (CO2-EOR). The USGS assessment methodology may require reservoir-level data for the purposes of screening conventional oil reservoirs and projecting CO2-EOR performance in terms of the incremental recoverable oil. The information used in this report is based on reservoir properties from the “Significant Oil and Gas Fields of the United States Database” prepared by Nehring Associates, Inc. (2012). As described by Nehring Associates, Inc., the database “covers all producing provinces (basins) in the United States except the Appalachian Basin and the Cincinnati Arch.”
\nUnder contract to the USGS, INTEK, Inc., developed and applied algorithms to estimate variables useful in projecting EOR performance at the reservoir level and to complete some partial reservoir records of the “Significant Oil and Gas Fields of the United States Database” (Nehring Associates, Inc., 2012). The augmented database is referred to here as the “Comprehensive Resource Database” (CRD).
\nThe CRD play and province classification scheme corresponds to the definitions used in the 1995 USGS National Oil and Gas Assessment (NOGA). The profiles in this report consist of a resource table and a six-part figure showing the variation of reservoir parameters selected because of their importance in the choice of a miscible or immiscible method for CO2-EOR and in the assessment of potential oil recovery using the EOR processes. A subset of these reservoirs may be available for either miscible- or immiscible-type flooding for CO2-EOR. Plays with fewer than 10 oil reservoirs were not graphed and were omitted from the province profiles. For this report and for the purposes of screening reservoirs as candidates for the application of CO2-EOR methods, oil reservoirs must have no more than 10,000 standard cubic feet of natural gas per barrel of oil at surface conditions. Oil-bearing plays presented in this report must contain at least one oil reservoir so defined.
\nThe profile plots allow geologists to evaluate the range of empirical and default values of the oil reservoir characteristics within a play and across plays that belong to the same province in the CRD. For most plays, the default estimates can be identified by the stacking of points at a single value on strip charts in the profiles. Reasonable default values should be within the range of the reservoir parameter values assigned by Nehring Associates, Inc. (2012), to reservoirs of that particular play.
\nEach province profile figure consists of five strip charts and a boxplot. The five strip charts display for individual plays the following reservoir-fluid and reservoir properties: A, oil density (American Petroleum Institute [API] gravity in degrees); B, computed pseudo-Dykstra-Parsons coefficient; C, reservoir porosity (in percent); D, reservoir permeability (in millidarcies); and E, estimates of the original oil in place (OOIP) per unit volume of reservoir rock (in barrels per acre-foot). The OOIP per unit volume of reservoir rock is an indicator of the relative richness of the oil reservoir and is derived from estimates in the CRD of OOIP, reservoir acreage, and net pay. The net pay is the interval of productive reservoir rock. The same data for OOIP per unit volume are graphed as a strip chart (E) and a boxplot (F).
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\"}}]}","edition":"Version 1: Originally posted November 5, 2015: Version 1.1: February 2016","contact":"Eastern Energy Resources Science Center
U.S. Geological Survey
MS 956 National Center
12201 Sunrise Valley Drive
Reston, VA 20192
http://energy.usgs.gov/GeneralInfo/
ScienceCenters/Eastern.aspx
Demand for woody biomass fuels is increasing amidst concerns about global energy security and climate change, but there may be negative implications of increased harvesting for forest ecosystem functions and their benefits to society (ecosystem services). Using new methods for assessing ecosystem services based on long-term experimental research, post-harvest changes in ten potential benefits were assessed for ten first-order northern hardwood forest watersheds at three long-term experimental research sites in northeastern North America. As expected, we observed near-term tradeoffs between biomass provision and greenhouse gas regulation, as well as tradeoffs between intensive harvest and the capacity of the forest to remediate nutrient pollution. In both cases, service provision began to recover along with the regeneration of forest vegetation; in the case of pollution remediation, the service recovered to pre-harvest levels within 10 years. By contrast to these two services, biomass harvesting had relatively nominal and transient impacts on other ecosystem services. Our results are sensitive to empirical definitions of societal demand, including methods for scaling societal demand to ecosystem units, which are often poorly resolved. Reducing uncertainty around these parameters can improve confidence in our results and increase their relevance for decision-making. Our synthesis of long-term experimental studies provides insights on the social-ecological resilience of managed forest ecosystems to multiple drivers of change.
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Ixodidae)","interactions":[],"lastModifiedDate":"2016-12-14T10:12:51","indexId":"70157213","displayToPublicDate":"2015-10-26T16:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2385,"text":"Journal of Medical Entomology","active":true,"publicationSubtype":{"id":10}},"title":"A dynamic population model to investigate effects of climate and climate-independent factors on the lifecycle of the tick Amblyomma americanum (Acari: Ixodidae)","docAbstract":"The lone star tick, Amblyomma americanum, is a disease vector of significance for human and animal health throughout much of the eastern United States. To model the potential effects of climate change on this tick, a better understanding is needed of the relative roles of temperature-dependent and temperature-independent (day-length-dependent behavioral or morphogenetic diapause) processes acting on the tick lifecycle. In this study, we explored the roles of these processes by simulating seasonal activity patterns using models with site-specific temperature and day-length-dependent processes. We first modeled the transitions from engorged larvae to feeding nymphs, engorged nymphs to feeding adults, and engorged adult females to feeding larvae. The simulated seasonal patterns were compared against field observations at three locations in United States. Simulations suggested that 1) during the larva-to-nymph transition, some larvae undergo no diapause while others undergo morphogenetic diapause of engorged larvae; 2) molted adults undergo behavioral diapause during the transition from nymph-to-adult; and 3) there is no diapause during the adult-to-larva transition. A model constructed to simulate the full lifecycle of A. americanum successfully predicted observed tick activity at the three U.S. study locations. Some differences between observed and simulated seasonality patterns were observed, however, identifying the need for research to refine some model parameters. In simulations run using temperature data for Montreal, deterministic die-out of A. americanum populations did not occur, suggesting the possibility that current climate in parts of southern Canada is suitable for survival and reproduction of this tick.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/jme/tjv150","usgsCitation":"Ludwig, A., Ginsberg, H., Hickling, G., and Ogden, N.H., 2016, A dynamic population model to investigate effects of climate and climate-independent factors on the lifecycle of the tick Amblyomma americanum (Acari: Ixodidae): Journal of Medical Entomology, v. 53, no. 1, p. 99-115, https://doi.org/10.1093/jme/tjv150.","productDescription":"17 p.","startPage":"99","endPage":"115","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-067271","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":486932,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/pls_facpubs/144","text":"External Repository"},{"id":312845,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-26","publicationStatus":"PW","scienceBaseUri":"567bd3bae4b0a04ef491a1ee","contributors":{"authors":[{"text":"Ludwig, Antoinette","contributorId":147666,"corporation":false,"usgs":false,"family":"Ludwig","given":"Antoinette","email":"","affiliations":[{"id":16890,"text":"Public Health Agency of Canada","active":true,"usgs":false}],"preferred":false,"id":572282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ginsberg, Howard S. 0000-0002-4933-2466 hginsberg@usgs.gov","orcid":"https://orcid.org/0000-0002-4933-2466","contributorId":147665,"corporation":false,"usgs":true,"family":"Ginsberg","given":"Howard S.","email":"hginsberg@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":572281,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hickling, Graham J.","contributorId":88639,"corporation":false,"usgs":true,"family":"Hickling","given":"Graham J.","affiliations":[],"preferred":false,"id":572283,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ogden, Nicholas H.","contributorId":147667,"corporation":false,"usgs":false,"family":"Ogden","given":"Nicholas","email":"","middleInitial":"H.","affiliations":[{"id":16890,"text":"Public Health Agency of Canada","active":true,"usgs":false}],"preferred":false,"id":572284,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159637,"text":"70159637 - 2016 - Mycobacterial infection in Northern snakehead (Channa argus) from the Potomac River catchment","interactions":[],"lastModifiedDate":"2018-08-08T10:38:02","indexId":"70159637","displayToPublicDate":"2015-10-16T03:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Mycobacterial infection in Northern snakehead (Channa argus) from the Potomac River catchment","docAbstract":"The Northern snakehead, Channa argus (Cantor), is a non-native predatory fish that has become established regionally in some temperate freshwater habitats within the United States. Over the past decade, Northern snakehead populations have developed within aquatic ecosystems throughout the eastern USA, including the Potomac River system within Virginia, Maryland and Washington, D.C. Since this species was initially observed in this region in 2002, the population has expanded considerably (Odenkirk & Owens 2007). In the Chesapeake Bay watershed, populations of Northern snakehead exist in the lower Potomac River and Rappahannock Rivers on the Western shore of the Bay, and these fish have also been found in middle or upper reaches of river systems on the Eastern shore of the Bay, including the Nanticoke and Wicomico Rivers among others. Over the past several years, many aspects of Northern snakehead life history in the Potomac River have been described, including range and dispersal patterns, microhabitat selection and diet (Lapointe, Thorson & Angermeier 2010; Saylor, Lapointe & Angermeier 2012; Lapointe, Odenkirk & Angermeier 2013). However, comparatively little is known about their health status including susceptibility to parasitism and disease and their capacity to serve as reservoirs of disease for native wildlife. Although considered hardy by fisheries biologists, snakehead fish have demonstrated susceptibility to a number of described piscine diseases within their native range and habitat in Asia. Reported pathogens of significance in snakehead species in Asia include snakehead rhabdovirus (Lio-Po et al. 2000), aeromonad bacteria (Zheng, Cao & Yang 2012), Nocardia (Wang et al. 2007) andMycobacterium spp. (Chinabut, Limsuwan & Chantatchakool 1990; ). Mycobacterial isolates recovered from another snakehead species (Channa striata) in the previous studies have included M. marinum and M. fortuitum, as identified through molecular-based diagnostics (Puttinaowarat et al. 2002). We have conducted health screenings of Northern snakehead from the Potomac River system over the past several years and have detected few associated pathogens. Typical observations have largely consisted of incidental identification of parasitism with protozoal, monogenean or trematode organisms (unpublished data). We have also identified largemouth bass virus (LMBV) in clinically normal Northern snakehead collected from the Potomac River (Iwanowicz et al. 2013). Continued research concerning these and other pathogens of this introduced species is important to fully understand the potential impacts of these fish on indigenous wildlife and aquatic ecosystems.
","language":"English","publisher":"Blackwell Science","publisherLocation":"Oxford, England","doi":"10.1111/jfd.12412","usgsCitation":"Densmore, C.L., Iwanowicz, L., Henderson, A., Iwanowicz, D.D., and Odenkirk, J., 2016, Mycobacterial infection in Northern snakehead (Channa argus) from the Potomac River catchment: Journal of Fish Diseases, v. 39, no. 6, p. 771-775, https://doi.org/10.1111/jfd.12412.","productDescription":"5 p.","startPage":"771","endPage":"775","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065068","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":311384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Potomac River, Pohick Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.12471008300781,\n 38.6895295540336\n ],\n [\n -77.13912963867188,\n 38.6999799615129\n ],\n [\n -77.16041564941406,\n 38.70667813760075\n ],\n [\n -77.19543457031249,\n 38.6999799615129\n ],\n [\n -77.20333099365233,\n 38.674253135311496\n ],\n [\n -77.19509124755858,\n 38.662726661586646\n ],\n [\n -77.17655181884766,\n 38.65387950468725\n ],\n [\n -77.15835571289062,\n 38.64369051578083\n ],\n [\n -77.13912963867188,\n 38.628940728833264\n ],\n [\n -77.10479736328125,\n 38.622503507032874\n ],\n [\n -77.07664489746094,\n 38.626258623311166\n ],\n [\n -77.05432891845703,\n 38.64288606020925\n ],\n [\n -77.05982208251953,\n 38.67452117076055\n ],\n [\n -77.08076477050781,\n 38.691673351832996\n ],\n [\n -77.12471008300781,\n 38.6895295540336\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","issue":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-16","publicationStatus":"PW","scienceBaseUri":"564b0c55e4b0ebfbef0d3172","contributors":{"authors":[{"text":"Densmore, Christine L. 0000-0001-6440-0781 cdensmore@usgs.gov","orcid":"https://orcid.org/0000-0001-6440-0781","contributorId":4560,"corporation":false,"usgs":true,"family":"Densmore","given":"Christine","email":"cdensmore@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":579837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178 liwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":150383,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R. ","email":"liwanowicz@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":579896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henderson, Anne ahenderson@usgs.gov","contributorId":4373,"corporation":false,"usgs":true,"family":"Henderson","given":"Anne","email":"ahenderson@usgs.gov","affiliations":[],"preferred":true,"id":579897,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Iwanowicz, Deborah D. 0000-0002-9613-8594 diwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-9613-8594","contributorId":2253,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Deborah","email":"diwanowicz@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":579898,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Odenkirk, J.S.","contributorId":149880,"corporation":false,"usgs":false,"family":"Odenkirk","given":"J.S.","affiliations":[],"preferred":false,"id":579899,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70156319,"text":"70156319 - 2016 - Using satellite vegetation and compound topographic indices to map highly erodible cropland buffers for cellulosic biofuel crop developments in eastern Nebraska, USA","interactions":[],"lastModifiedDate":"2024-06-17T16:35:56.715747","indexId":"70156319","displayToPublicDate":"2015-08-01T10:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Using satellite vegetation and compound topographic indices to map highly erodible cropland buffers for cellulosic biofuel crop developments in eastern Nebraska, USA","docAbstract":"Cultivating annual row crops in high topographic relief waterway buffers has negative environmental effects and can be environmentally unsustainable. Growing perennial grasses such as switchgrass (Panicum virgatum L.) for biomass (e.g., cellulosic biofuel feedstocks) instead of annual row crops in these high relief waterway buffers can improve local environmental conditions (e.g., reduce soil erosion and improve water quality through lower use of fertilizers and pesticides) and ecosystem services (e.g., minimize drought and flood impacts on production; improve wildlife habitat, plant vigor, and nitrogen retention due to post-senescence harvest for cellulosic biofuels; and serve as carbon sinks). The main objectives of this study are to: (1) identify cropland areas with high topographic relief (high runoff potentials) and high switchgrass productivity potential in eastern Nebraska that may be suitable for growing switchgrass, and (2) estimate the total switchgrass production gain from the potential biofuel areas. Results indicate that about 140,000 hectares of waterway buffers in eastern Nebraska are suitable for switchgrass development and the total annual estimated switchgrass biomass production for these suitable areas is approximately 1.2 million metric tons. The resulting map delineates high topographic relief croplands and provides useful information to land managers and biofuel plant investors to make optimal land use decisions regarding biofuel crop development and ecosystem service optimization in eastern Nebraska.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.ecolind.2015.06.019","usgsCitation":"Gu, Y., and Wylie, B.K., 2016, Using satellite vegetation and compound topographic indices to map highly erodible cropland buffers for cellulosic biofuel crop developments in eastern Nebraska, USA: Ecological Indicators, v. 60, p. 64-70, https://doi.org/10.1016/j.ecolind.2015.06.019.","productDescription":"7 p.","startPage":"64","endPage":"70","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065626","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":307098,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.55810546875,\n 42.99661231842139\n ],\n [\n -99.51416015625,\n 40.01078714046552\n ],\n [\n -95.30639648437499,\n 40.002371935876475\n ],\n [\n -95.38330078125,\n 40.07807142745009\n ],\n [\n -95.38330078125,\n 40.136890695345905\n ],\n [\n -95.42724609375,\n 40.195659093364654\n ],\n [\n -95.47119140625,\n 40.271143686084194\n ],\n [\n -95.570068359375,\n 40.32141999593439\n ],\n [\n -95.60302734375,\n 40.396764305572056\n ],\n [\n -95.64697265625,\n 40.48038142908172\n ],\n [\n -95.64697265625,\n 40.55554790286311\n ],\n [\n -95.723876953125,\n 40.60561205826018\n ],\n [\n -95.78979492187499,\n 40.73893324113603\n ],\n [\n -95.767822265625,\n 40.9052096972736\n ],\n [\n -95.82275390625,\n 41.13729606112276\n ],\n [\n -95.855712890625,\n 41.244772343082104\n ],\n [\n -95.855712890625,\n 41.3108238809182\n ],\n [\n -95.91064453125,\n 41.37680856570233\n ],\n [\n -95.899658203125,\n 41.44272637767212\n ],\n [\n -95.943603515625,\n 41.53325414281322\n ],\n [\n -96.04248046875,\n 41.60722821271717\n ],\n [\n -96.03149414062499,\n 41.77950486590359\n ],\n [\n -96.064453125,\n 41.918628865183045\n ],\n [\n -96.17431640625,\n 42.13896840458089\n ],\n [\n -96.27319335937499,\n 42.21224516288584\n ],\n [\n -96.2841796875,\n 42.334184385939416\n ],\n [\n -96.35009765625,\n 42.42345651793833\n ],\n [\n -96.383056640625,\n 42.50450285299051\n ],\n [\n -96.51489257812499,\n 42.52069952914966\n ],\n [\n -96.624755859375,\n 42.577354839557856\n ],\n [\n -96.6357421875,\n 42.65012181368025\n ],\n [\n -96.7236328125,\n 42.69858589169842\n ],\n [\n -96.800537109375,\n 42.76314586689494\n ],\n [\n -96.954345703125,\n 42.76314586689494\n ],\n [\n -97.108154296875,\n 42.819580715795915\n ],\n [\n -97.218017578125,\n 42.867912483915305\n ],\n [\n -97.55859375,\n 42.90011265525328\n ],\n [\n -97.84423828125,\n 42.87596410238254\n ],\n [\n -97.921142578125,\n 42.819580715795915\n ],\n [\n -98.031005859375,\n 42.827638636242284\n ],\n [\n -98.184814453125,\n 42.88401467044253\n ],\n [\n -98.382568359375,\n 42.956422511073335\n ],\n [\n -98.470458984375,\n 43.01268088642034\n ],\n [\n -99.55810546875,\n 42.99661231842139\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"60","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"568e493ce4b0e7a44bc41ae4","contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":139586,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":568660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":568661,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70160803,"text":"70160803 - 2016 - If Arctic charr Salvelinus alpinus is “the most diverse vertebrate,” what is the lake charr Salvelinus namaycush?","interactions":[],"lastModifiedDate":"2016-11-03T16:41:12","indexId":"70160803","displayToPublicDate":"2015-02-13T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1652,"text":"Fish and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"If Arctic charr Salvelinus alpinus is “the most diverse vertebrate,” what is the lake charr Salvelinus namaycush?","docAbstract":"Teleost fishes are prominent vertebrate models of evolution, illustrated among old-world radiations by the Cichlidae of East African Great Lakes and new-world radiations by the circumpolar Arctic charr Salvelinus alpinus. Herein, we describe variation in lake charr S. namaycush morphology, life history, physiology, and ecology, as another example of radiation. The lake charr is restricted to northern North America, where it originated from glacial refugia and diversified in large lakes. Shallow and deepwater morphs arose in multiple lakes, with a large-bodied shallow-water ‘lean’ morph in shallow inshore depths, a small-bodied mid-water ‘humper’ morph on offshore shoals or banks, and a large-bodied deep-water ‘siscowet’ morph at depths > 100 m. Eye position, gape size, and gillraker length and spacing adapted for feeding on different-sized prey, with piscivorous morphs (leans and siscowets) reaching larger asymptotic size than invertivorous morphs (humpers). Lean morphs are light in color, whereas deepwater morphs are drab and dark, although the pattern is reversed in dark tannic lakes. Morphs shift from benthic to pelagic feeding at a length of 400–490-mm. Phenotypic differences in locomotion, buoyancy, and lipid metabolism evolved into different mechanisms for buoyancy regulation, with lean morphs relying on hydrodynamic lift and siscowet morphs relying on hydrostatic lift. We suggest that the Salvelinus genus, rather than the species S. alpinus, is a diverse genus that should be the subject of comparative studies of processes causing divergence and adaptation among member species that may lead to a more complete evolutionary conceptual model.
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PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-13","publicationStatus":"PW","scienceBaseUri":"56865fc7e4b0e7594ee74ccb","contributors":{"authors":[{"text":"Muir, Andrew M.","contributorId":103933,"corporation":false,"usgs":false,"family":"Muir","given":"Andrew M.","affiliations":[],"preferred":false,"id":583958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Michael J. 0000-0001-8522-3876 michaelhansen@usgs.gov","orcid":"https://orcid.org/0000-0001-8522-3876","contributorId":5006,"corporation":false,"usgs":true,"family":"Hansen","given":"Michael","email":"michaelhansen@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bronte, Charles 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plumes: secondary effects of natural attenuation","docAbstract":"Monitored natural attenuation is widely applied as a remediation strategy at hydrocarbon spill sites. Natural attenuation relies on biodegradation of hydrocarbons coupled with reduction of electron acceptors, including solid phase ferric iron (Fe(III)). Because arsenic (As) adsorbs to Fe-hydroxides, a potential secondary effect of natural attenuation of hydrocarbons coupled with Fe(III) reduction is a release of naturally occurring As to groundwater. At a crude-oil-contaminated aquifer near Bemidji, Minnesota, anaerobic biodegradation of hydrocarbons coupled to Fe(III) reduction has been well documented. We collected groundwater samples at the site annually from 2009 to 2013 to examine if As is released to groundwater and, if so, to document relationships between As and Fe inside and outside of the dissolved hydrocarbon plume. Arsenic concentrations in groundwater in the plume reached 230 µg/L, whereas groundwater outside the plume contained less than 5 µg/L As. Combined with previous data from the Bemidji site, our results suggest that (1) naturally occurring As is associated with Fe-hydroxides present in the glacially derived aquifer sediments; (2) introduction of hydrocarbons results in reduction of Fe-hydroxides, releasing As and Fe to groundwater; (3) at the leading edge of the plume, As and Fe are removed from groundwater and retained on sediments; and (4) downgradient from the plume, patterns of As and Fe in groundwater are similar to background. We develop a conceptual model of secondary As release due to natural attenuation of hydrocarbons that can be applied to other sites where an influx of biodegradable organic carbon promotes Fe(III) reduction.
","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.12316","usgsCitation":"Cozzarelli, I.M., Schreiber, M.E., Erickson, M., and Ziegler, B.A., 2016, Arsenic cycling in hydrocarbon plumes: secondary effects of natural attenuation: Groundwater Monitoring & Remediation, v. 54, no. 1, p. 35-45, https://doi.org/10.1111/gwat.12316.","productDescription":"11 p.","startPage":"35","endPage":"45","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060529","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":297603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","city":"Bemidji","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.12443542480469,\n 47.559268133942446\n ],\n [\n -95.12443542480469,\n 47.58463133843904\n ],\n [\n -95.06916046142578,\n 47.58463133843904\n ],\n [\n -95.06916046142578,\n 47.559268133942446\n ],\n [\n -95.12443542480469,\n 47.559268133942446\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"54","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-21","publicationStatus":"PW","scienceBaseUri":"54dd2a56e4b08de9379b2fef","chorus":{"doi":"10.1111/gwat.12316","url":"http://dx.doi.org/10.1111/gwat.12316","publisher":"Wiley-Blackwell","authors":"Cozzarelli Isabelle M., Schreiber Madeline E., Erickson Melinda L., Ziegler Brady A.","journalName":"Groundwater","publicationDate":"1/21/2015","auditedOn":"2/24/2015"},"contributors":{"authors":[{"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":539445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schreiber, Madeline E.","contributorId":138959,"corporation":false,"usgs":false,"family":"Schreiber","given":"Madeline","email":"","middleInitial":"E.","affiliations":[{"id":12594,"text":"Department of Geosciences, Virginia Tech, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":539446,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erickson, Melinda L. 0000-0002-1117-2866 merickso@usgs.gov","orcid":"https://orcid.org/0000-0002-1117-2866","contributorId":3671,"corporation":false,"usgs":true,"family":"Erickson","given":"Melinda L.","email":"merickso@usgs.gov","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":539447,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ziegler, Brady A.","contributorId":138960,"corporation":false,"usgs":false,"family":"Ziegler","given":"Brady","email":"","middleInitial":"A.","affiliations":[{"id":12594,"text":"Department of Geosciences, Virginia Tech, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":539448,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70135781,"text":"ofr20141153 - 2016 - Collaborative Studies for Mercury Characterization in Coal and Coal Combustion Products, Republic of South Africa","interactions":[],"lastModifiedDate":"2016-06-01T07:42:43","indexId":"ofr20141153","displayToPublicDate":"2014-12-17T08:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1153","title":"Collaborative Studies for Mercury Characterization in Coal and Coal Combustion Products, Republic of South Africa","docAbstract":"Mercury (Hg) analyses were obtained for 42 samples of feed coal provided by Eskom, the national electric utility of South Africa, representing all 13 coal-fired power stations operated by Eskom in South Africa. This sampling includes results for three older power stations returned to service starting in the late 2000s. These stations were not sampled in the most recent previous study. Mercury concentrations determined in the present study are similar to or slightly lower than those previously reported, and input Hg for the three stations returned to service is comparable to that for the other 10 power stations. Determination of halogen contents of the 42 feed coals confirms that chlorine contents are generally low, and as such, the extent of Hg self-capture by particulate control devices (PCDs) is rather limited. Eight density separates of a South African Highveld (#4) coal were also provided by Eskom, and these show a strong mineralogical association of Hg (and arsenic) with pyrite. The density separates were used to predict Hg and ash contents of coal products used in South Africa or exported. A suite of 48 paired samples of pulverization-mill feed coal and fly ash collected in a previous (2010) United Nations Environment Programme-sponsored study of emissions from the Duvha and Kendal power stations was obtained for further investigation in the present study. These samples show that in each station, Hg capture varies by boiler unit and confirms that units equipped with fabric filters for air pollution control are much more effective in capturing Hg than those equipped with electrostatic precipitators. Apart from tracking the performance of PCDs individually, changes resulting in improved mercury capture of the Eskom fleet are discussed. These include Hg reduction through coal selection and washing, as well as through optimization of equipment and operational parameters. Operational changes leading to increased mercury capture include increasing mercury adsorption on unburned carbon and minimizing the concentration of sulfuric acid vapor in the flue gas. Equipment options for improving Hg capture include addition of fabric filters, use of halogenated sorbents, and addition of flue gas desulfurization (FGD) scrubbers, listed in order of increasing cost. The capital cost of adding FGD scrubbers to existing plants is probably too high to be justified on the grounds of Hg removal alone. However, if future regulations require reductions in sulfur dioxide emissions, and FGDs are installed to meet these standards, further reduction in Hg emissions will be a co-benefit of this installation.
In this revised version, corrected results for the suite of 42 samples of feed coal and 8 density separates determined by inductively coupled plasma-mass spectrometry (ICP-MS) replace results originally reported in the 2014 version of this report. In many cases, especially for the transition metals, values reported here are lower than those originally reported, and in some cases, the corrected results are less than 50 percent of their original values. Note that results for mercury (Hg) and halogens contained in the original report are unaffected by revisions to ICP-MS data included here. This revised version also includes the following updates: (1) data for selenium, which were not available for inclusion in the original publication, are now provided; (2) results for ICP-MS trace element data are expressed here on a whole-coal dry basis to facilitate comparison with published results for coals elsewhere; and (3) the text has been updated to take into account the U.S. Supreme Court decision of June 29, 2015, which puts on hold implementation of U.S. Environmental Protection Agency Mercury and Air Toxics Standards in the United States.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141153","usgsCitation":"Kolker, Allan, Senior, C.L., and van Alphen, Chris, 2014, Collaborative studies for mercury characterization in coal and coal combustion products, Republic of South Africa (ver. 2.0, May 2016): U.S. Geological Survey Open-File Report 2014–1153, 47 p., https://dx.doi.org/10.3133/ofr20141153.","productDescription":"ix, 47 p.","numberOfPages":"55","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-055869","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":296735,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1153/pdf/ofr20141153.pdf","text":"Report","size":"1.28 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2014-1153"},{"id":296736,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2014/1153/images/coverthb1.jpg"},{"id":296734,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1153/index.html","description":"OFR 2014-1153"},{"id":321863,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2014/1153/versionHist.txt","size":"1.60 KB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2014-1153"}],"country":"South Africa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 16.32568359375,\n -34.92197103616377\n ],\n [\n 16.32568359375,\n -22.12635475991967\n ],\n [\n 33.02490234375,\n -22.12635475991967\n ],\n [\n 33.02490234375,\n -34.92197103616377\n ],\n [\n 16.32568359375,\n -34.92197103616377\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1: Originally posted December 15, 2014; Version 2.0 May 31, 2016","contact":"Director, Eastern Energy Resources Science Center
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We report a population of Bigeye Shiner Notropis boops in the South Fork Hughes River drainage of the Little Kanawha River, West Virginia. A total of 27 individuals of N. boops were collected during five sampling efforts from 1999 to 2005. These specimens represent an addition to the state fauna, a distributional record for the Little Kanawha River, and an eastern range extension for this species on the Appalachian Plateau, West Virginia. Notropis boops in the South Fork Hughes River drainage likely represents a native population.
","language":"English","publisher":"University of Notre Dame","doi":"10.1674/0003-0031-172.2.372","usgsCitation":"Welsh, S., Cincotta, D.A., and Raesly, R.L., 2016, First record of the bigeye shiner (Notropis boops) from West Virginia: American Midland Naturalist, v. 172, no. 2, p. 373-375, https://doi.org/10.1674/0003-0031-172.2.372.","productDescription":"3 p.","startPage":"373","endPage":"375","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053142","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":324047,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Little Kanawha River, South Fork Hughes River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.5570068359375,\n 38.76693348394693\n ],\n [\n -81.5570068359375,\n 39.296048244024085\n ],\n [\n -80.870361328125,\n 39.296048244024085\n ],\n [\n -80.870361328125,\n 38.76693348394693\n ],\n [\n -81.5570068359375,\n 38.76693348394693\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"172","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576913bae4b07657d19ff059","contributors":{"authors":[{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":637103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cincotta, Daniel A.","contributorId":172052,"corporation":false,"usgs":false,"family":"Cincotta","given":"Daniel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":639924,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raesly, Richard L.","contributorId":172208,"corporation":false,"usgs":false,"family":"Raesly","given":"Richard","email":"","middleInitial":"L.","affiliations":[{"id":13481,"text":"Department of Biology, Frostburg State University, 101 Braddock Road, Frostburg, MD","active":true,"usgs":false}],"preferred":false,"id":639925,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70045254,"text":"ds760 - 2016 - Geophysical log database for the Floridan aquifer system and southeastern Coastal Plain aquifer system in Florida and parts of Georgia, Alabama, and South Carolina","interactions":[],"lastModifiedDate":"2026-05-19T16:21:14.696847","indexId":"ds760","displayToPublicDate":"2013-04-04T00:00:00","publicationYear":"2016","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":"760","title":"Geophysical log database for the Floridan aquifer system and southeastern Coastal Plain aquifer system in Florida and parts of Georgia, Alabama, and South Carolina","docAbstract":"A database of borehole geophysical logs and other types of data files were compiled as part of ongoing studies of water availability and assessment of brackish- and saline-water resources. The database contains 4,883 logs from 1,248 wells in Florida, Georgia, Alabama, South Carolina, and from a limited number of offshore wells of the eastern Gulf of Mexico and the Atlantic Ocean. The logs can be accessed through a download directory organized by state and county for onshore wells and in a single directory for the offshore wells. A flat file database is provided that lists the wells, their coordinates, and the file listings.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds760","collaboration":"Groundwater Resources Program","usgsCitation":"Williams, L.J., Raines, J.E., and Lanning, A.E., 2016, Geophysical log database for the Floridan aquifer system and southeastern Coastal Plain aquifer system in Florida and parts of Georgia, Alabama, \nand South Carolina (ver. 1.1, December 2016): U.S. Geological Survey Data Series 760, 12 p., https://doi.org/10.3133/ds760.","productDescription":"Report: v, 12 p.; Geophysical Log Database; List of Wells in Database; List of Files in Database; Downloads Directory","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":504531,"rank":11,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98359.htm","linkFileType":{"id":5,"text":"html"}},{"id":331292,"rank":9,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/ds/760/versionHist.txt","size":"3.96 MB","linkFileType":{"id":2,"text":"txt"},"description":"Version History"},{"id":331323,"rank":8,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/760/Downloads/FILES/LogDB_FileListRevision1.csv","text":"List of Files (CSV)","size":"882 MB"},{"id":270572,"rank":7,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/760/Downloads/FILES/LogDB_FileListRevision1.xls","text":"List of Files (Excel)","size":"1.69 MB"},{"id":270574,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/760/Downloads","text":"State Data Files"},{"id":270570,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/760/pdf/ds760.pdf","text":"Report","size":"1.45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 760"},{"id":331302,"rank":10,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/ds/760/Downloads/Readme.txt","linkFileType":{"id":2,"text":"txt"}},{"id":331324,"rank":6,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/760/Downloads/FILES/LogDB_WellListRevision1.csv","text":"List of Wells (CSV)","size":"189 KB"},{"id":270575,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/760/images/coverthb3.jpg"},{"id":270573,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/760/Downloads/FILES/LogDB_WellListRevision1.xls","text":"List of Wells (Excel)","size":"475 KB"},{"id":270569,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/760/"}],"country":"United States","state":"Alabama, Florida, Georgia, South Carolina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.0,24.0 ], [ -89.0,34.0 ], [ -79.0,34.0 ], [ -79.0,24.0 ], [ -89.0,24.0 ] ] ] } } ] }","edition":"Version 1.0: Originally posted April 4, 2013; Version 1.1: December 30, 2016","contact":"Director, South Atlantic Water Science Center
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http://www.usgs.gov/water/southatlantic/
The U.S. Geological Survey has developed a methodology to assess the impacts of wind energy development on wildlife; it is a probabilistic, quantitative assessment methodology that can communicate to decision makers and the public the magnitude of these effects on species populations. The methodology is currently applicable to birds and bats, focuses primarily on the effects of collisions, and can be applied to any species that breeds in, migrates through, or otherwise uses any part of the United States. The methodology is intended to assess species at the national scale and is fundamentally different from existing methods focusing on impacts at individual facilities.
\nPublicly available fatality information, population estimates, species range maps, turbine location data, biological characteristics, and generic population models are used to generate both a ranked list of species based on relative risk as well as quantitative measures of the magnitude of the effect on species' population trend and size. Three metrics are combined to determine direct and indirect relative risk to populations. A generic population model is used to estimate the expected change in population trend and includes additive mortality from collisions with wind turbines. Lastly, the methodology uses observed fatalities and an estimate of potential biological removal to assess the risk of a decline in population size. Data for six bird species have been processed through the entire methodology as a test case, and the results are presented in this report.
\nComponents of the methodology are based on simplifying assumptions and require information that, for many species, may be sparse or unreliable. These assumptions are presented in the report and should be carefully considered when using output from the methodology. In addition, this methodology can be used to recommend species for more intensive demographic modeling or highlight those species that may not require any additional protection because effects of wind energy development on their populations are projected to be small.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155066","usgsCitation":"Diffendorfer, J., Beston, J.A., Merrill, M., Stanton, J.C., Corum, M., Loss, S., Thogmartin, W.E., Johnson, D.H., Erickson, R.A., and Heist, K.W., 2015, Preliminary methodology to assess the national and regional impact of U.S. wind energy development on birds and bats: U.S. Geological Survey Scientific Investigations Report 2015-5066, 51 p., https://doi.org/10.3133/sir20155066.","productDescription":"51 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-063536","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":300386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155066.jpg"},{"id":300384,"rank":1,"type":{"id":15,"text":"Index 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afterslip","interactions":[],"lastModifiedDate":"2017-07-19T09:33:52","indexId":"70189615","displayToPublicDate":"2017-07-19T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"The 2014 Mw6.1 South Napa Earthquake: A unilateral rupture with shallow asperity and rapid afterslip","docAbstract":"The Mw6.1 South Napa earthquake occurred near Napa, California on August 24, 2014 (UTC), and was the largest inland earthquake in Northern California since the 1989 Mw6.9 Loma Prieta earthquake. The first report of the earthquake from the Northern California Earthquake Data Center (NCEDC) indicates a hypocentral depth of 11.0km with longitude and latitude of (122.3105°W, 38.217°N). Surface rupture was documented by field observations and Lidar imaging (Brooks et al. 2014; Hudnut et al. 2014; Brocher et al., 2015), with about 12 km of continuous rupture starting near the epicenter and extending to the northwest. The southern part of the rupture is relatively straight, but the strike changes by about 15° at the northern end over a 6-km segment. The peak dextral offset was observed near the Buhman residence with right-.‐lateral motion of 46 cm, near the location where the strike of fault begins to rotate clock-.‐wise (Hudnut et al., 2014). The earthquake was well recorded by the strong motion network operated by the NCEDC, the California Geological Survey and the U.S. Geological Survey (USGS). There are about 12 sites within an epicentral distance of 15km, with relatively good azimuthal coverage (Fig.1). The largest peak-ground-velocity (PGV) of nearly 100 cm/s was observed on station 1765, which is the closest station to the rupture and lies about 3 km east of the northern segment (Fig. 1). The ground deformation associated with the earthquake was also well recorded by the high-resolution COSMO-SkyMed satellite and Sentinel-1A satellite, providing independent static observations.
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