{"pageNumber":"992","pageRowStart":"24775","pageSize":"25","recordCount":184717,"records":[{"id":70191452,"text":"70191452 - 2017 - Migratory behavior of adult sea lamprey and cumulative passage performance through four fishways","interactions":[],"lastModifiedDate":"2017-10-13T11:30:42","indexId":"70191452","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Migratory behavior of adult sea lamprey and cumulative passage performance through four fishways","docAbstract":"<p><span>This article describes a study of PIT-tagged sea lamprey (</span><i>Petromyzon marinus</i><span>) ascending four fishways comprising three designs at two dams on the Connecticut River, USA. Migration between dams was rapid (median migration rate = 23 km·day</span><sup>−1</sup><span>). Movement through the fishways was much slower, however (median = 0.02–0.33 km·day</span><sup>−1</sup><span>). Overall delay at dams was substantial (median = 13.6–14.6 days); many fish failed to pass (percent passage ranged from 29% to 55%, depending on fishway), and repeated passage attempts compounded delay for both passers and failers. Cox regression revealed that fishway entry rates were influenced by flow, temperature, and diel cycle, with most lampreys entering at night and at elevated flows, but with no apparent effect of sex or length. Overall delay was influenced by slow movement through the fishways, but repeated failures were the primary factor determining delay. These data suggest that although some lamprey were able to pass fishways, they did so with difficulty, and delays incurred as they attempted to pass may act to limit their distribution within their native range.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0089","issn":"0706-652X","usgsCitation":"Castro-Santos, T.R., Shi, X., and Haro, A., 2017, Migratory behavior of adult sea lamprey and cumulative passage performance through four fishways: Canadian Journal of Fisheries and Aquatic Sciences, v. 5, no. 74, p. 790-800, https://doi.org/10.1139/cjfas-2016-0089.","productDescription":"11 p.","startPage":"790","endPage":"800","ipdsId":"IP-060899","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":469877,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/75797","text":"External Repository"},{"id":346579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"74","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e1d099e4b05fe04cd117b4","contributors":{"authors":[{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":712332,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shi, Xiaotao","contributorId":197033,"corporation":false,"usgs":false,"family":"Shi","given":"Xiaotao","email":"","affiliations":[],"preferred":false,"id":712333,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haro, Alexander 0000-0002-7188-9172 aharo@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-9172","contributorId":139198,"corporation":false,"usgs":true,"family":"Haro","given":"Alexander","email":"aharo@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":712334,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192471,"text":"70192471 - 2017 - The California Earthquake Advisory Plan: A history","interactions":[],"lastModifiedDate":"2017-10-30T11:05:09","indexId":"70192471","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","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 California Earthquake Advisory Plan: A history","docAbstract":"<p>Since 1985, the California Office of Emergency Services (Cal OES) has issued advisory statements to local jurisdictions and the public following seismic activity that scientists on the California Earthquake Prediction Evaluation Council view as indicating elevated probability of a larger earthquake in the same area during the next several days. These advisory statements are motivated by statistical studies showing that about 5% of moderate earthquakes in California are followed by larger events within a 10-km, five-day space-time window (Jones, 1985; Agnew and Jones, 1991; Reasenberg and Jones, 1994). Cal OES issued four earthquake advisories from 1985 to 1989. In October, 1990, the California Earthquake Advisory Plan formalized this practice, and six Cal OES Advisories have been issued since then. This article describes that protocol’s scientific basis and evolution.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220160183","usgsCitation":"Roeloffs, E.A., and Goltz, J.D., 2017, The California Earthquake Advisory Plan: A history: Seismological Research Letters, v. 88, no. 3, p. 784-797, https://doi.org/10.1785/0220160183.","productDescription":"14 p.","startPage":"784","endPage":"797","ipdsId":"IP-069239","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"88","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-08","publicationStatus":"PW","scienceBaseUri":"59f83a37e4b063d5d30980e7","contributors":{"authors":[{"text":"Roeloffs, Evelyn A. 0000-0002-4761-0469 evelynr@usgs.gov","orcid":"https://orcid.org/0000-0002-4761-0469","contributorId":2680,"corporation":false,"usgs":true,"family":"Roeloffs","given":"Evelyn","email":"evelynr@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":716011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goltz, James D.","contributorId":198432,"corporation":false,"usgs":false,"family":"Goltz","given":"James","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":716012,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192626,"text":"70192626 - 2017 - A dynamic spatio-temporal model for spatial data","interactions":[],"lastModifiedDate":"2018-01-03T15:57:04","indexId":"70192626","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5548,"text":"Spatial Statistics","active":true,"publicationSubtype":{"id":10}},"title":"A dynamic spatio-temporal model for spatial data","docAbstract":"<p><span>Analyzing spatial data often requires modeling dependencies created by a dynamic spatio-temporal data generating process. In many applications, a generalized linear mixed model (GLMM) is used with a random effect to account for spatial dependence and to provide optimal spatial predictions. Location-specific covariates are often included as fixed effects in a GLMM and may be collinear with the spatial random effect, which can negatively affect inference. We propose a dynamic approach to account for spatial dependence that incorporates scientific knowledge of the spatio-temporal data generating process. Our approach relies on a dynamic spatio-temporal model that explicitly incorporates location-specific covariates. We illustrate our approach with a spatially varying ecological diffusion model implemented using a computationally efficient homogenization technique. We apply our model to understand individual-level and location-specific risk factors associated with chronic wasting disease in white-tailed deer from Wisconsin, USA and estimate the location the disease was first introduced. We compare our approach to several existing methods that are commonly used in spatial statistics. Our spatio-temporal approach resulted in a higher predictive accuracy when compared to methods based on optimal spatial prediction, obviated confounding among the spatially indexed covariates and the spatial random effect, and provided additional information that will be important for containing disease outbreaks.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.spasta.2017.02.005","usgsCitation":"Hefley, T.J., Hooten, M., Hanks, E.M., Russell, R., and Walsh, D.P., 2017, A dynamic spatio-temporal model for spatial data: Spatial Statistics, v. 20, p. 206-220, https://doi.org/10.1016/j.spasta.2017.02.005.","productDescription":"15 p.","startPage":"206","endPage":"220","ipdsId":"IP-079545","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":461613,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.spasta.2017.02.005","text":"Publisher Index Page"},{"id":348561,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","volume":"20","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8cee4b09af898c8612d","contributors":{"authors":[{"text":"Hefley, Trevor J.","contributorId":147146,"corporation":false,"usgs":false,"family":"Hefley","given":"Trevor","email":"","middleInitial":"J.","affiliations":[{"id":16796,"text":"Dept Fish, Wildlife & Cons Biol, Colorado St Univ, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":716578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":716576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanks, Ephraim M.","contributorId":178093,"corporation":false,"usgs":false,"family":"Hanks","given":"Ephraim","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":716579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Russell, Robin 0000-0001-8726-7303 rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":178094,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":716577,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walsh, Daniel P. 0000-0002-7772-2445 dwalsh@usgs.gov","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":4758,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"dwalsh@usgs.gov","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":716580,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70188091,"text":"70188091 - 2017 - Stable isotope analyses of oxygen (18O:17O:16O) and chlorine (37Cl:35Cl) in perchlorate: reference materials, calibrations, methods, and interferences","interactions":[],"lastModifiedDate":"2017-05-31T12:36:37","indexId":"70188091","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3233,"text":"Rapid Communications in Mass Spectrometry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Stable isotope analyses of oxygen (<sup>18</sup>O:<sup>17</sup>O:<sup>16</sup>O) and chlorine (<sup>37</sup>Cl:<sup>35</sup>Cl) in perchlorate: reference materials, calibrations, methods, and interferences","title":"Stable isotope analyses of oxygen (18O:17O:16O) and chlorine (37Cl:35Cl) in perchlorate: reference materials, calibrations, methods, and interferences","docAbstract":"<p><strong>Rationale</strong></p><p>Perchlorate (ClO<sub>4</sub><sup>−</sup>) is a common trace constituent of water, soils, and plants; it has both natural and synthetic sources and is subject to biodegradation. The stable isotope ratios of Cl and O provide three independent quantities for ClO<sub>4</sub><sup>−</sup> source attribution and natural attenuation studies: δ<sup>37</sup>Cl, δ<sup>18</sup>O, and δ<sup>17</sup>O (or Δ<sup>17</sup>O or <sup>17</sup>Δ) values. Documented reference materials, calibration schemes, methods, and interferences will improve the reliability of such studies.</p><p><strong>Methods</strong></p><p>Three large batches of KClO<sub>4</sub> with contrasting isotopic compositions were synthesized and analyzed against VSMOW-SLAP, atmospheric O<sub>2</sub>, and international nitrate and chloride reference materials. Three analytical methods were tested for O isotopes: conversion of ClO<sub>4</sub><sup>−</sup> to CO for continuous-flow IRMS (CO-CFIRMS), decomposition to O<sub>2</sub> for dual-inlet IRMS (O2-DIIRMS), and decomposition to O<sub>2</sub> with molecular-sieve trap (O2-DIIRMS+T). For Cl isotopes, KCl produced by thermal decomposition of KClO<sub>4</sub> was reprecipitated as AgCl and converted into CH<sub>3</sub>Cl for DIIRMS.</p><p><strong>Results</strong></p><p>KClO<sub>4</sub> isotopic reference materials (USGS37, USGS38, USGS39) represent a wide range of Cl and O isotopic compositions, including non-mass-dependent O isotopic variation. Isotopic fractionation and exchange can affect O isotope analyses of ClO<sub>4</sub><sup>−</sup> depending on the decomposition method. Routine analyses can be adjusted for such effects by normalization, using reference materials prepared and analyzed as samples. Analytical errors caused by SO<sub>4</sub><sup>2</sup><sup>−</sup>, NO<sub>3</sub><sup>−</sup>, ReO<sub>4</sub><sup>2</sup><sup>−</sup>, and C-bearing contaminants include isotope mixing and fractionation effects on CO and O<sub>2</sub>, plus direct interference from CO<sub>2</sub> in the mass spectrometer. The results highlight the importance of effective purification of ClO<sub>4</sub><sup>−</sup> from environmental samples.</p><p><strong>Conclusions</strong></p><p>KClO<sub>4</sub> reference materials are available for testing methods and calibrating isotopic data for ClO<sub>4</sub><sup>−</sup> and other substances with widely varying Cl or O isotopic compositions. Current ClO<sub>4</sub><sup>−</sup>extraction, purification, and analysis techniques provide relative isotope-ratio measurements with uncertainties much smaller than the range of values in environmental ClO<sub>4</sub><sup>−</sup>, permitting isotopic evaluation of environmental ClO<sub>4</sub><sup>−</sup> sources and natural attenuation.</p>","language":"English","publisher":"Wiley","doi":"10.1002/rcm.7751","usgsCitation":"Bohlke, J., Mroczkowski, S.J., Sturchio, N.C., Heraty, L.J., Richman, K.W., Sullivan, D.B., Griffith, K.N., Gu, B., and Hatzinger, P., 2017, Stable isotope analyses of oxygen (18O:17O:16O) and chlorine (37Cl:35Cl) in perchlorate: reference materials, calibrations, methods, and interferences: Rapid Communications in Mass Spectrometry, v. 31, no. 1, p. 85-110, https://doi.org/10.1002/rcm.7751.","productDescription":"26 p.","startPage":"85","endPage":"110","ipdsId":"IP-079870","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":341925,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-12","publicationStatus":"PW","scienceBaseUri":"592fd63de4b0e9bd0ea896e9","contributors":{"authors":[{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":696640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mroczkowski, Stanley J. 0000-0001-8026-6025 smroczko@usgs.gov","orcid":"https://orcid.org/0000-0001-8026-6025","contributorId":2628,"corporation":false,"usgs":true,"family":"Mroczkowski","given":"Stanley","email":"smroczko@usgs.gov","middleInitial":"J.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":696641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sturchio, Neil C.","contributorId":149375,"corporation":false,"usgs":false,"family":"Sturchio","given":"Neil","email":"","middleInitial":"C.","affiliations":[{"id":15289,"text":"University of Illinois, Ven Te Chow Hydrosystems Laboratory","active":true,"usgs":false}],"preferred":false,"id":696642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heraty, Linnea J.","contributorId":192520,"corporation":false,"usgs":false,"family":"Heraty","given":"Linnea","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":696643,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richman, Kent W.","contributorId":192519,"corporation":false,"usgs":false,"family":"Richman","given":"Kent","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":696644,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sullivan, Donald B.","contributorId":192517,"corporation":false,"usgs":false,"family":"Sullivan","given":"Donald","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":696645,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Griffith, Kris N.","contributorId":192518,"corporation":false,"usgs":false,"family":"Griffith","given":"Kris","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":696646,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gu, Baohua","contributorId":15504,"corporation":false,"usgs":true,"family":"Gu","given":"Baohua","affiliations":[],"preferred":false,"id":696648,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hatzinger, Paul B.","contributorId":43204,"corporation":false,"usgs":true,"family":"Hatzinger","given":"Paul B.","affiliations":[],"preferred":false,"id":696647,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70191259,"text":"70191259 - 2017 - Undiscovered porphyry copper resources in the Urals—A probabilistic mineral resource assessment","interactions":[],"lastModifiedDate":"2017-10-02T13:30:35","indexId":"70191259","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Undiscovered porphyry copper resources in the Urals—A probabilistic mineral resource assessment","docAbstract":"<p id=\"sp0100\">A probabilistic mineral resource assessment of metal resources in undiscovered porphyry copper deposits of the Ural Mountains in Russia and Kazakhstan was done using a quantitative form of mineral resource assessment. Permissive tracts were delineated on the basis of mapped and inferred subsurface distributions of igneous rocks assigned to tectonic zones that include magmatic arcs where the occurrence of porphyry copper deposits within 1&nbsp;km of the Earth's surface are possible. These permissive tracts outline four north-south trending volcano-plutonic belts in major structural zones of the Urals. From west to east, these include permissive lithologies for porphyry copper deposits associated with Paleozoic subduction-related island-arc complexes preserved in the Tagil and Magnitogorsk arcs, Paleozoic island-arc fragments and associated tonalite-granodiorite intrusions in the East Uralian zone, and Carboniferous continental-margin arcs developed on the Kazakh craton in the Transuralian zone. The tracts range from about 50,000 to 130,000&nbsp;km<sup>2</sup><span>&nbsp;</span>in area. The Urals host 8 known porphyry copper deposits with total identified resources of about 6.4 million metric tons of copper, at least 20 additional porphyry copper prospect areas, and numerous copper-bearing skarns and copper occurrences.</p><p id=\"sp0105\">Probabilistic estimates predict a mean of 22 undiscovered porphyry copper deposits within the four permissive tracts delineated in the Urals. Combining estimates with established grade and tonnage models predicts a mean of 82 million metric tons of undiscovered copper. Application of an economic filter suggests that about half of that amount could be economically recoverable based on assumed depth distributions, availability of infrastructure, recovery rates, current metals prices, and investment environment.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2016.09.007","usgsCitation":"Hammarstrom, J.M., Mihalasky, M.J., Ludington, S., Phillips, J., Berger, B.R., Denning, P., Dicken, C., Mars, J.C., Zientek, M.L., Herrington, R.J., and Seltmann, R., 2017, Undiscovered porphyry copper resources in the Urals—A probabilistic mineral resource assessment: Ore Geology Reviews, v. 85, p. 181-203, https://doi.org/10.1016/j.oregeorev.2016.09.007.","productDescription":"23 p.","startPage":"181","endPage":"203","ipdsId":"IP-068679","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":461619,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.oregeorev.2016.09.007","text":"Publisher Index Page"},{"id":346315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Kazakhstan, Russia","otherGeospatial":"Urals","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              56,\n              50\n            ],\n            [\n              68,\n              50\n            ],\n            [\n              68,\n              70\n            ],\n            [\n              56,\n             70\n            ],\n            [\n              56,\n              50\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"85","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d35026e4b05fe04cc34d54","contributors":{"authors":[{"text":"Hammarstrom, Jane M. 0000-0003-2742-3460 jhammars@usgs.gov","orcid":"https://orcid.org/0000-0003-2742-3460","contributorId":1226,"corporation":false,"usgs":true,"family":"Hammarstrom","given":"Jane","email":"jhammars@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":711714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mihalasky, Mark J. 0000-0002-0082-3029 mjm@usgs.gov","orcid":"https://orcid.org/0000-0002-0082-3029","contributorId":3692,"corporation":false,"usgs":true,"family":"Mihalasky","given":"Mark","email":"mjm@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":false,"id":711715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ludington, Stephen 0000-0002-6265-4996 slud@usgs.gov","orcid":"https://orcid.org/0000-0002-6265-4996","contributorId":172672,"corporation":false,"usgs":true,"family":"Ludington","given":"Stephen","email":"slud@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":711716,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phillips, Jeffrey 0000-0002-6459-2821 jeff@usgs.gov","orcid":"https://orcid.org/0000-0002-6459-2821","contributorId":127453,"corporation":false,"usgs":true,"family":"Phillips","given":"Jeffrey","email":"jeff@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":711717,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berger, Byron R. bberger@usgs.gov","contributorId":1490,"corporation":false,"usgs":true,"family":"Berger","given":"Byron","email":"bberger@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":711718,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Denning, Paul pdenning@usgs.gov","contributorId":168842,"corporation":false,"usgs":true,"family":"Denning","given":"Paul","email":"pdenning@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":711719,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dicken, Connie cdicken@usgs.gov","contributorId":172878,"corporation":false,"usgs":true,"family":"Dicken","given":"Connie","email":"cdicken@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":711720,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mars, John C. 0000-0002-0421-1388 jmars@usgs.gov","orcid":"https://orcid.org/0000-0002-0421-1388","contributorId":178265,"corporation":false,"usgs":true,"family":"Mars","given":"John","email":"jmars@usgs.gov","middleInitial":"C.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":711721,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zientek, Michael L. 0000-0002-8522-9626 mzientek@usgs.gov","orcid":"https://orcid.org/0000-0002-8522-9626","contributorId":2420,"corporation":false,"usgs":true,"family":"Zientek","given":"Michael","email":"mzientek@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":711722,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Herrington, Richard J.","contributorId":70688,"corporation":false,"usgs":true,"family":"Herrington","given":"Richard","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":711723,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Seltmann, Reimar","contributorId":73450,"corporation":false,"usgs":true,"family":"Seltmann","given":"Reimar","email":"","affiliations":[],"preferred":false,"id":711724,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70187423,"text":"70187423 - 2017 - Datasheet: Pseudogymnoascus destructans (white-nose syndrome fungus)","interactions":[],"lastModifiedDate":"2018-01-03T11:17:55","indexId":"70187423","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Datasheet: Pseudogymnoascus destructans (white-nose syndrome fungus)","docAbstract":"Pseudogymnoascus destructans is a psychrophilic (cold-loving) fungus that causes white-nose syndrome (WNS), an emerging disease of North American bats that has caused unprecedented population declines. The fungus is believed to have been introduced to North America from Europe or Asia (where it is present but does not cause significant mortality), but the full extent of its native range is unknown. The route of introduction is also unknown. In North America, hibernating bats become infected with P. destructans when body temperature decreases during winter torpor into the range permissive for growth of this fungus. Infected bats may develop visible fungal growth on the nose or wings, awaken more frequently from torpor, and experience a cascade of physiologic changes that result in weight loss, dehydration, electrolyte imbalances, and death. P. destructans persists in the environments of underground bat hibernation sites (hibernacula) and is believed to spread primarily by natural movements of infected bats. The first evidence of WNS in North America is from a photograph of a hibernating bat taken during winter of 2005-2006 in a hibernaculum near Albany, New York. P. destructans subsequently spread rapidly from the northeastern United States throughout much of the eastern portions of the United States and Canada, and most recently (as of May 2017) was detected in Washington State. It has killed millions of bats, threatening some species with regional extirpation and putting at risk the valuable environmental services that bats provide by eating harmful insects.","largerWorkTitle":"Invasive species compendium","language":"English","publisher":"Centre for Agriculture and Biosciences International","usgsCitation":"Blehert, D.S., and Lankau, E.W., 2017, Datasheet: Pseudogymnoascus destructans (white-nose syndrome fungus), chap. <i>of</i> Invasive species compendium, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-084223","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":340751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340748,"type":{"id":15,"text":"Index Page"},"url":"https://www.cabi.org/isc/datasheet/119002"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59099aaee4b0fc4e449157e8","contributors":{"authors":[{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":140397,"corporation":false,"usgs":true,"family":"Blehert","given":"David","email":"dblehert@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":693988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lankau, Emily W. 0000-0002-7094-7780 elankau@usgs.gov","orcid":"https://orcid.org/0000-0002-7094-7780","contributorId":175270,"corporation":false,"usgs":true,"family":"Lankau","given":"Emily","email":"elankau@usgs.gov","middleInitial":"W.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":693989,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192624,"text":"70192624 - 2017 - Do we need demographic data to forecast plant population dynamics?","interactions":[],"lastModifiedDate":"2017-11-10T10:59:58","indexId":"70192624","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Do we need demographic data to forecast plant population dynamics?","docAbstract":"<ol id=\"mee312686-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Rapid environmental change has generated growing interest in forecasts of future population trajectories. Traditional population models built with detailed demographic observations from one study site can address the impacts of environmental change at particular locations, but are difficult to scale up to the landscape and regional scales relevant to management decisions. An alternative is to build models using population-level data that are much easier to collect over broad spatial scales than individual-level data. However, it is unknown whether models built using population-level data adequately capture the effects of density-dependence and environmental forcing that are necessary to generate skillful forecasts.</li><li>Here, we test the consequences of aggregating individual responses when forecasting the population states (percent cover) and trajectories of four perennial grass species in a semi-arid grassland in Montana, USA. We parameterized two population models for each species, one based on individual-level data (survival, growth and recruitment) and one on population-level data (percent cover), and compared their forecasting accuracy and forecast horizons with and without the inclusion of climate covariates. For both models, we used Bayesian ridge regression to weight the influence of climate covariates for optimal prediction.</li><li>In the absence of climate effects, we found no significant difference between the forecast accuracy of models based on individual-level data and models based on population-level data. Climate effects were weak, but increased forecast accuracy for two species. Increases in accuracy with climate covariates were similar between model types.</li><li>In our case study, percent cover models generated forecasts as accurate as those from a demographic model. For the goal of forecasting, models based on aggregated individual-level data may offer a practical alternative to data-intensive demographic models. Long time series of percent cover data already exist for many plant species. Modelers should exploit these data to predict the impacts of environmental change.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.12686","usgsCitation":"Tredennick, A.T., Hooten, M., and Adler, P.B., 2017, Do we need demographic data to forecast plant population dynamics?: Methods in Ecology and Evolution, v. 8, no. 5, p. 541-551, https://doi.org/10.1111/2041-210X.12686.","productDescription":"11 p.","startPage":"541","endPage":"551","ipdsId":"IP-076546","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469886,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.12686","text":"Publisher Index Page"},{"id":348564,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-28","publicationStatus":"PW","scienceBaseUri":"5a06c8cfe4b09af898c86131","contributors":{"authors":[{"text":"Tredennick, Andrew T.","contributorId":152688,"corporation":false,"usgs":false,"family":"Tredennick","given":"Andrew","email":"","middleInitial":"T.","affiliations":[{"id":18962,"text":"Dept. of Wildland Resources and the Ecology Center, Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":721549,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":716574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adler, Peter B.","contributorId":64789,"corporation":false,"usgs":false,"family":"Adler","given":"Peter","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":721550,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193423,"text":"70193423 - 2017 - Cessation of oil exposure in harlequin ducks after the Exxon Valdez oil spill: Cytochrome P4501A biomarker evidence","interactions":[],"lastModifiedDate":"2017-11-01T12:57:16","indexId":"70193423","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Cessation of oil exposure in harlequin ducks after the <i>Exxon Valdez</i> oil spill: Cytochrome P4501A biomarker evidence","title":"Cessation of oil exposure in harlequin ducks after the Exxon Valdez oil spill: Cytochrome P4501A biomarker evidence","docAbstract":"<p>The authors quantified hepatic hydrocarbon-inducible cytochrome P4501A (CYP1A) expression, as ethoxyresorufin-O-deethylase (EROD) activity, in wintering harlequin ducks (<i>Histrionicus histrionicus</i>) captured in Prince William Sound, Alaska (USA), during 2011, 2013, and 2014 (22–25 yr following the 1989 <i>Exxon Valdez</i> oil spill). Average EROD activity was compared between birds from areas oiled by the spill and those from nearby unoiled areas. The present study replicated studies conducted from 1998 to 2009 demonstrating that harlequin ducks using areas oiled in 1989 had elevated EROD activity, indicative of oil exposure, up to 2 decades post spill. In the present study, it was found that average EROD activity during March 2011 was significantly higher in wintering harlequin ducks captured in oiled areas relative to unoiled areas, which the authors interpret to indicate that harlequin ducks continued to be exposed to residual <i>Exxon Valdez</i> oil up to 22 yr after the original spill. However, the 2011 results also indicated reductions in exposure relative to previous years. Average EROD activity in birds from oiled areas was approximately 2 times that in birds from unoiled areas in 2011, compared with observations from 2005 to 2009, in which EROD activity was 3 to 5 times higher in oiled areas. It was also found that average EROD activity during March 2013 and March 2014 was not elevated in wintering harlequin ducks from oiled areas. The authors interpret these findings to indicate that exposure of harlequin ducks to residual <i>Exxon Valdez</i> oil abated within 24 yr after the original spill. The present study finalizes a timeline of exposure, extending over 2 decades, for a bird species thought to be particularly vulnerable to oil contamination in marine environments</p>","language":"English","publisher":"Wiley","doi":"10.1002/etc.3659","usgsCitation":"Esler, D., Ballachey, B.E., Bowen, L., Miles, A.K., Dickson, R.D., and Henderson, J.D., 2017, Cessation of oil exposure in harlequin ducks after the Exxon Valdez oil spill: Cytochrome P4501A biomarker evidence: Environmental Toxicology and Chemistry, v. 36, no. 5, p. 1294-1300, https://doi.org/10.1002/etc.3659.","productDescription":"7 p.","startPage":"1294","endPage":"1300","ipdsId":"IP-076871","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":438357,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7KD1W1M","text":"USGS data release","linkHelpText":"Harlequin duck capture and EROD activity data from Prince William Sound, Alaska, 2011, 2013, 2014"},{"id":348006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Prince William Sound","volume":"36","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-20","publicationStatus":"PW","scienceBaseUri":"59fadd23e4b0531197b13c9f","contributors":{"authors":[{"text":"Esler, Daniel 0000-0001-5501-4555 desler@usgs.gov","orcid":"https://orcid.org/0000-0001-5501-4555","contributorId":5465,"corporation":false,"usgs":true,"family":"Esler","given":"Daniel","email":"desler@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":718988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ballachey, Brenda E. 0000-0003-1855-9171 bballachey@usgs.gov","orcid":"https://orcid.org/0000-0003-1855-9171","contributorId":2966,"corporation":false,"usgs":true,"family":"Ballachey","given":"Brenda","email":"bballachey@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":718989,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":718990,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miles, A. Keith 0000-0002-3108-808X keith_miles@usgs.gov","orcid":"https://orcid.org/0000-0002-3108-808X","contributorId":196,"corporation":false,"usgs":true,"family":"Miles","given":"A.","email":"keith_miles@usgs.gov","middleInitial":"Keith","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":718991,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dickson, Rian D.","contributorId":138554,"corporation":false,"usgs":false,"family":"Dickson","given":"Rian","email":"","middleInitial":"D.","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false}],"preferred":false,"id":718992,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Henderson, John D.","contributorId":94632,"corporation":false,"usgs":false,"family":"Henderson","given":"John","email":"","middleInitial":"D.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":718993,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192739,"text":"70192739 - 2017 - Contributions of wildland fire to terrestrial ecosystem carbon dynamics in North America from 1990 to 2012","interactions":[],"lastModifiedDate":"2017-11-08T13:03:10","indexId":"70192739","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Contributions of wildland fire to terrestrial ecosystem carbon dynamics in North America from 1990 to 2012","docAbstract":"<p><span>Burn area and the frequency of extreme fire events have been increasing during recent decades in North America, and this trend is expected to continue over the 21st century. While many aspects of the North American carbon budget have been intensively studied, the net contribution of fire disturbance to the overall net carbon flux at the continental scale remains uncertain. Based on national scale, spatially explicit and long-term fire data, along with the improved model parameterization in a process-based ecosystem model, we simulated the impact of fire disturbance on both direct carbon emissions and net terrestrial ecosystem carbon balance in North America. Fire-caused direct carbon emissions were 106.55&nbsp;±&nbsp;15.98&nbsp;Tg&nbsp;C/yr during 1990–2012; however, the net ecosystem carbon balance associated with fire was −26.09&nbsp;±&nbsp;5.22&nbsp;Tg&nbsp;C/yr, indicating that most of the emitted carbon was resequestered by the terrestrial ecosystem. Direct carbon emissions showed an increase in Alaska and Canada during 1990–2012 as compared to prior periods due to more extreme fire events, resulting in a large carbon source from these two regions. Among biomes, the largest carbon source was found to be from the boreal forest, primarily due to large reductions in soil organic matter during, and with slower recovery after, fire events. The interactions between fire and environmental factors reduced the fire-caused ecosystem carbon source. Fire disturbance only caused a weak carbon source as compared to the best estimate terrestrial carbon sink in North America owing to the long-term legacy effects of historical burn area coupled with fast ecosystem recovery during 1990–2012.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2016GB005548","usgsCitation":"Chen, G., Hayes, D.J., and McGuire, A.D., 2017, Contributions of wildland fire to terrestrial ecosystem carbon dynamics in North America from 1990 to 2012: Global Biogeochemical Cycles, v. 31, no. 5, p. 878-900, https://doi.org/10.1002/2016GB005548.","productDescription":"23 p.","startPage":"878","endPage":"900","ipdsId":"IP-084072","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469883,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gb005548","text":"Publisher Index Page"},{"id":348451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","volume":"31","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-27","publicationStatus":"PW","scienceBaseUri":"5a0425b9e4b0dc0b45b45388","contributors":{"authors":[{"text":"Chen, Guangsheng","contributorId":200153,"corporation":false,"usgs":false,"family":"Chen","given":"Guangsheng","email":"","affiliations":[],"preferred":false,"id":721156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Daniel J.","contributorId":100237,"corporation":false,"usgs":true,"family":"Hayes","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721157,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716799,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190697,"text":"70190697 - 2017 - Identification of two novel reassortant avian influenza a (H5N6) viruses in whooper swans in Korea, 2016","interactions":[],"lastModifiedDate":"2018-03-23T14:01:29","indexId":"70190697","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3697,"text":"Virology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Identification of two novel reassortant avian influenza a (H5N6) viruses in whooper swans in Korea, 2016","docAbstract":"<div id=\"ASec1\" class=\"AbstractSection\"><h3 class=\"Heading\">Background</h3><p id=\"Par1\" class=\"Para\">On November 20, 2016 two novel strains of H5N6 highly pathogenic avian influenza virus (HPAIVs) were isolated from three whooper swans (<i class=\"EmphasisTypeItalic\">Cygnus cygnus</i>) at Gangjin Bay in South Jeolla province, South Korea. Identification of HPAIVs in wild birds is significant as there is a potential risk of transmission of these viruses to poultry and humans.</p></div><div id=\"ASec2\" class=\"AbstractSection\"><h3 class=\"Heading\">Results</h3><p id=\"Par2\" class=\"Para\">Phylogenetic analysis revealed that Gangjin H5N6 viruses classified into Asian H5 clade 2.3.4.4 lineage and were distinguishable from H5N8 and H5N1 HPAIVs previously isolated in Korea. With the exception of the polymerase acidic (PA) gene, the viruses were most closely related to A/duck/Guangdong/01.01SZSGXJK005-Y/2016 (H5N6) (98.90 ~ 99.74%). The PA genes of the two novel Gangjin H5N6 viruses were most closely related to AIV isolates previously characterized from Korea, A/hooded crane/Korea/1176/2016 (H1N1) (99.16%) and A/environment/Korea/W133/2006 (H7N7) (98.65%). The lack of more recent viruses to A/environment/Korea/W133/2006 (H7N7) indicates the need for analysis of recent wild bird AIVs isolated in Korea because they might provide further clues as to the origin of these novel reassortant H5N6 viruses.</p></div><div id=\"ASec3\" class=\"AbstractSection\"><h3 class=\"Heading\">Conclusions</h3><p id=\"Par3\" class=\"Para\">Although research on the origins and epidemiology of these infections is ongoing, the most likely route of infection for the whooper swans was through direct or indirect contact with reassortant viruses shed by migratory wild birds in Korea. As H5N6 HPAIVs can potentially be transmitted to poultry and humans, continuous monitoring of AIVs among wild birds will help to mitigate this risk.</p></div>","language":"English","publisher":"BioMed Central","doi":"10.1186/s12985-017-0731-7","usgsCitation":"Jeong, J., Woo, C., Ip, S., An, I., Kim, Y., Lee, K., Jo, S., Son, K., Lee, S., Oem, J., Wang, S., Kim, Y., Shin, J., Sleeman, J.M., and Jheong, W., 2017, Identification of two novel reassortant avian influenza a (H5N6) viruses in whooper swans in Korea, 2016: Virology Journal, v. 14, Article 60; 4 p., https://doi.org/10.1186/s12985-017-0731-7.","productDescription":"Article 60; 4 p.","ipdsId":"IP-082419","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":469887,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s12985-017-0731-7","text":"Publisher Index Page"},{"id":345673,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Korea","volume":"14","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-21","publicationStatus":"PW","scienceBaseUri":"59b8f21ee4b08b1644e0aee2","contributors":{"authors":[{"text":"Jeong, Jipseol","contributorId":196383,"corporation":false,"usgs":false,"family":"Jeong","given":"Jipseol","email":"","affiliations":[],"preferred":false,"id":710231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woo, Chanjin","contributorId":196384,"corporation":false,"usgs":false,"family":"Woo","given":"Chanjin","email":"","affiliations":[],"preferred":false,"id":710232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":710195,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"An, Injung","contributorId":196385,"corporation":false,"usgs":false,"family":"An","given":"Injung","email":"","affiliations":[],"preferred":false,"id":710233,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kim, Youngsik","contributorId":196386,"corporation":false,"usgs":false,"family":"Kim","given":"Youngsik","email":"","affiliations":[],"preferred":false,"id":710234,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lee, Kwanghee","contributorId":196387,"corporation":false,"usgs":false,"family":"Lee","given":"Kwanghee","email":"","affiliations":[],"preferred":false,"id":710235,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jo, Seong-Deok","contributorId":196389,"corporation":false,"usgs":false,"family":"Jo","given":"Seong-Deok","email":"","affiliations":[],"preferred":false,"id":710236,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Son, Kidong","contributorId":196391,"corporation":false,"usgs":false,"family":"Son","given":"Kidong","email":"","affiliations":[],"preferred":false,"id":710237,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lee, Saemi","contributorId":196392,"corporation":false,"usgs":false,"family":"Lee","given":"Saemi","email":"","affiliations":[],"preferred":false,"id":710238,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Oem, Jae-Ku","contributorId":196393,"corporation":false,"usgs":false,"family":"Oem","given":"Jae-Ku","email":"","affiliations":[],"preferred":false,"id":710239,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wang, Seung-Jun","contributorId":196394,"corporation":false,"usgs":false,"family":"Wang","given":"Seung-Jun","email":"","affiliations":[],"preferred":false,"id":710240,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kim, Yongkwan","contributorId":196402,"corporation":false,"usgs":false,"family":"Kim","given":"Yongkwan","email":"","affiliations":[],"preferred":false,"id":710241,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Shin, Jeonghwa","contributorId":196395,"corporation":false,"usgs":false,"family":"Shin","given":"Jeonghwa","email":"","affiliations":[],"preferred":false,"id":710242,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":710243,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Jheong, Weonhwa","contributorId":196397,"corporation":false,"usgs":false,"family":"Jheong","given":"Weonhwa","email":"","affiliations":[],"preferred":false,"id":710244,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70192035,"text":"70192035 - 2017 - Low stress drops observed for aftershocks of the 2011 Mw 5.7 Prague, Oklahoma, earthquake","interactions":[],"lastModifiedDate":"2017-10-24T14:13:06","indexId":"70192035","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Low stress drops observed for aftershocks of the 2011 Mw 5.7 Prague, Oklahoma, earthquake","docAbstract":"<p><span>In November 2011, three&nbsp;</span><i>M</i><sub><i>w</i></sub><span>&nbsp;≥&nbsp;4.8 earthquakes and thousands of aftershocks occurred along the structurally complex Wilzetta fault system near Prague, Oklahoma. Previous studies suggest that wastewater injection induced a<span>&nbsp;</span></span><i>M</i><sub><i>w</i></sub><span><span>&nbsp;</span>4.8 foreshock, which subsequently triggered a<span>&nbsp;</span></span><i>M</i><sub><i>w</i></sub><span><span>&nbsp;</span>5.7 mainshock. We examine source properties of aftershocks with a standard Brune-type spectral model and jointly solve for seismic moment (</span><i>M</i><sub>0</sub><span>), corner frequency (</span><i>f</i><sub>0</sub><span>), and kappa (</span><i>κ</i><span>) with an iterative Gauss-Newton global downhill optimization method. We examine 934 earthquakes with initial moment magnitudes (</span><i>M</i><sub><i>w</i></sub><span>) between 0.33 and 4.99 based on the pseudospectral acceleration and recover reasonable<span>&nbsp;</span></span><i>M</i><sub>0</sub><span>,<span>&nbsp;</span></span><i>f</i><sub>0</sub><span>, and<span>&nbsp;</span></span><i>κ</i><span><span>&nbsp;</span>for 87 earthquakes with<span>&nbsp;</span></span><i>M</i><sub><i>w</i></sub><span><span>&nbsp;</span>1.83–3.51 determined by spectral fit. We use<span>&nbsp;</span></span><i>M</i><sub>0</sub><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>f</i><sub>0</sub><span><span>&nbsp;</span>to estimate the Brune-type stress drop, assuming a circular fault and shear-wave velocity at the hypocentral depth of the event. Our observations suggest that stress drops range between 0.005 and 4.8&nbsp;MPa with a median of 0.2&nbsp;MPa (0.03–26.4&nbsp;MPa with a median of 1.1&nbsp;MPa for Madariaga-type), which is significantly lower than typical eastern United States intraplate events (&gt;10&nbsp;MPa). We find that stress drops correlate weakly with hypocentral depth and magnitude. Additionally, we find the stress drops increase with time after the mainshock, although temporal variation in stress drop is difficult to separate from spatial heterogeneity and changing event locations. The overall low median stress drop suggests that the fault segments may have been primed to fail as a result of high pore fluid pressures, likely related to nearby wastewater injection.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016JB013153","usgsCitation":"Sumy, D.F., Neighbors, C.J., Cochran, E.S., and Keranen, K.M., 2017, Low stress drops observed for aftershocks of the 2011 Mw 5.7 Prague, Oklahoma, earthquake: Journal of Geophysical Research B: Solid Earth, v. 122, no. 5, p. 3813-3834, https://doi.org/10.1002/2016JB013153.","productDescription":"22 p.","startPage":"3813","endPage":"3834","ipdsId":"IP-075342","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469876,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jb013153","text":"Publisher Index Page"},{"id":347249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","city":"Prague","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.5,\n              34.5\n            ],\n            [\n              -95.5,\n              34.5\n            ],\n            [\n              -95.5,\n              36.5\n            ],\n            [\n              -97.5,\n              36.5\n            ],\n            [\n              -97.5,\n              34.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"122","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-21","publicationStatus":"PW","scienceBaseUri":"59f05122e4b0220bbd9a1d9a","contributors":{"authors":[{"text":"Sumy, Danielle F.","contributorId":108025,"corporation":false,"usgs":true,"family":"Sumy","given":"Danielle","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":713942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neighbors, Corrie J.","contributorId":197629,"corporation":false,"usgs":false,"family":"Neighbors","given":"Corrie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":713943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713941,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keranen, Katie M.","contributorId":197630,"corporation":false,"usgs":false,"family":"Keranen","given":"Katie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":713944,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192920,"text":"70192920 - 2017 - Disturbance of a rare seabird by ship-based tourism in a marine protected area","interactions":[],"lastModifiedDate":"2017-11-07T13:32:06","indexId":"70192920","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Disturbance of a rare seabird by ship-based tourism in a marine protected area","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"true\"><strong></strong><span id=\"_mce_caret\" data-mce-bogus=\"true\"><span>Managers of marine protected areas (MPAs) must often seek ways to allow for visitation while minimizing impacts to the resources they are intended to protect. Using shipboard observers, we quantified the “zone of disturbance” for Kittlitz’s and marbled murrelets (</span><i>Brachyramphus brevirostris</i><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>B</i><span>.<span>&nbsp;</span></span><i>marmoratus</i><span>) exposed to large cruise ships traveling through Glacier Bay National Park, one of the largest MPAs in North America. In the upper reaches of Glacier Bay, where Kittlitz’s murrelets predominated, binary logistic regression models predicted that 61% of all murrelets within 850 m perpendicular distance of a cruise ship were disturbed (defined as flushing or diving), whereas in the lower reaches, where marbled murrelets predominated, this percentage increased to 72%. Using survival analysis, murrelets in both reaches were found to react at greater distances when ships approached indirectly, presumably because of the ship’s larger profile, suggesting murrelets responded to visual rather than audio cues. No management-relevant covariates (e.g., ship velocity, route distance from shore) were found to be important predictors of disturbance, as distance from ship to murrelet accounted for &gt; 90% of the explained variation in murrelet response. Utilizing previously published murrelet density estimates from Glacier Bay, and applying an average empirical disturbance probability (68%) out to 850 m from a cruise ship’s typical route, we estimated that a minimum of 9.8–19.6% of all murrelets in Glacier Bay are disturbed per ship entry. Whether these disturbance levels are inconsistent with Park management objectives, which include conserving wildlife as well as providing opportunities for visitation, depends in large part on whether disturbance events caused by cruise ships have impacts on murrelet fitness, which remains uncertain.</span></span></span><br data-mce-bogus=\"1\"></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0176176","usgsCitation":"Marcella, T.K., Gende, S.M., Roby, D.D., and Allignol, A., 2017, Disturbance of a rare seabird by ship-based tourism in a marine protected area: PLoS ONE, v. 12, no. 5, p. 1-23, https://doi.org/10.1371/journal.pone.0176176.","productDescription":"e0176176; 23 p.","startPage":"1","endPage":"23","ipdsId":"IP-077530","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469895,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0176176","text":"Publisher Index Page"},{"id":348388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Glacier Bay National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -137.373046875,\n              58.205449994019915\n            ],\n            [\n              -135.28564453125,\n              58.205449994019915\n            ],\n            [\n              -135.28564453125,\n              59.06880155405589\n            ],\n            [\n              -137.373046875,\n              59.06880155405589\n            ],\n            [\n              -137.373046875,\n              58.205449994019915\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-10","publicationStatus":"PW","scienceBaseUri":"5a07e8f7e4b09af898c8cbdb","contributors":{"authors":[{"text":"Marcella, Timothy K.","contributorId":200095,"corporation":false,"usgs":false,"family":"Marcella","given":"Timothy","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":720958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gende, Scott M.","contributorId":27320,"corporation":false,"usgs":true,"family":"Gende","given":"Scott","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":720959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roby, Daniel D. 0000-0001-9844-0992 droby@usgs.gov","orcid":"https://orcid.org/0000-0001-9844-0992","contributorId":3702,"corporation":false,"usgs":true,"family":"Roby","given":"Daniel","email":"droby@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717357,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allignol, Arthur","contributorId":200096,"corporation":false,"usgs":false,"family":"Allignol","given":"Arthur","email":"","affiliations":[],"preferred":false,"id":720960,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189333,"text":"70189333 - 2017 - Geomorphology, denudation rates, and stream channel profiles reveal patterns of mountain building adjacent to the San Andreas fault in northern California, USA","interactions":[],"lastModifiedDate":"2017-07-11T13:22:49","indexId":"70189333","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphology, denudation rates, and stream channel profiles reveal patterns of mountain building adjacent to the San Andreas fault in northern California, USA","docAbstract":"<p><span>Relative horizontal motion along strike-slip faults can build mountains when motion is oblique to the trend of the strike-slip boundary. The resulting contraction and uplift pose off-fault seismic hazards, which are often difficult to detect because of the poor vertical resolution of satellite geodesy and difficulty of locating offset datable landforms in active mountain ranges. Sparse geomorphic markers, topographic analyses, and measurement of denudation allow us to map spatiotemporal patterns of uplift along the northern San Andreas fault. Between Jenner and Mendocino, California, emergent marine terraces found southwest of the San Andreas fault record late Pleistocene uplift rates between 0.20 and 0.45 mm yr</span><sup>–1</sup><span><span>&nbsp;</span>along much of the coast. However, on the northeast side of the San Andreas fault, a zone of rapid uplift (0.6–1.0 mm yr</span><sup>–1</sup><span>) exists adjacent to the San Andreas fault, but rates decay northeastward as the coast becomes more distant from the San Andreas fault. A newly dated 4.5 Ma shallow-marine deposit located at ∼500 m above sea level (masl) adjacent to the San Andreas fault is warped down to just 150 masl 15 km northeast of the San Andreas fault, and it is exposed at just 60–110 masl to the west of the fault. Landscape denudation rates calculated from abundance of cosmogenic radionuclides in fluvial sediment northeast of, and adjacent to, the San Andreas fault are 0.16–0.29 mm yr</span><sup>–1</sup><span>, but they are only 0.03–0.07 mm yr</span><sup>–1</sup><span><span>&nbsp;</span>west of the fault. Basin-average channel steepness and the denudation rates can be used to infer the erosive properties of the underlying bedrock. Calibrated erosion rates can then be estimated across the entire landscape using the spatial distribution of channel steepness with these erosive properties. The lower-elevation areas of this landscape that show high channel steepness (and hence calibrated erosion rate) are distinct from higher-elevation areas with systematically lower channel steepness and denudation rates. These two areas do not appear to be coincident with lithologic contacts. Assuming that changes in rock uplift rates are manifest in channel steepness values as an upstream-propagating kinematic wave that separates high and low channel steepness values, the distance that this transition has migrated vertically provides an estimate of the timing of rock uplift rate increase. This analysis suggests that rock uplift rates along the coast changed from 0.3 to 0.75 mm yr</span><sup>–1</sup><span><span>&nbsp;</span>between 450 and 350 ka. This zone of recent, relatively rapid crustal deformation along the plate boundary may be a result of the impingement of relatively strong crust underlying the Gualala block into the thinner, weaker oceanic crust left at the western margin of the North American plate by the westward migration of the subduction zone prior to establishment of the current transform plate boundary. The warped Pliocene marine deposits and the presence of a topographic ridge support the patterns indicated by the channel steepness analyses, and further indicate that the zone of rapid uplift may herald elevated off-fault seismic hazard if this uplift is created by periodic stick-slip motion on contractional structures.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B31551.1","usgsCitation":"DeLong, S.B., Hilley, G.E., Prentice, C.S., Crosby, C.J., and Yokelson, I.N., 2017, Geomorphology, denudation rates, and stream channel profiles reveal patterns of mountain building adjacent to the San Andreas fault in northern California, USA: GSA Bulletin, v. 129, no. 5-6, p. 732-749, https://doi.org/10.1130/B31551.1.","productDescription":"18 p.","startPage":"732","endPage":"749","ipdsId":"IP-069660","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":343577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Andreas fault","volume":"129","issue":"5-6","noUsgsAuthors":false,"publicationDate":"2017-01-27","publicationStatus":"PW","scienceBaseUri":"5965b1efe4b0d1f9f05b37cc","contributors":{"authors":[{"text":"DeLong, Stephen B. 0000-0002-0945-2172 sdelong@usgs.gov","orcid":"https://orcid.org/0000-0002-0945-2172","contributorId":5240,"corporation":false,"usgs":true,"family":"DeLong","given":"Stephen","email":"sdelong@usgs.gov","middleInitial":"B.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":704204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hilley, George E.","contributorId":85484,"corporation":false,"usgs":true,"family":"Hilley","given":"George","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":704205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prentice, Carol S. 0000-0003-3732-3551 cprentice@usgs.gov","orcid":"https://orcid.org/0000-0003-3732-3551","contributorId":2676,"corporation":false,"usgs":true,"family":"Prentice","given":"Carol","email":"cprentice@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":704206,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crosby, Christopher J. 0000-0003-2522-4193","orcid":"https://orcid.org/0000-0003-2522-4193","contributorId":68415,"corporation":false,"usgs":true,"family":"Crosby","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":704207,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yokelson, Intan N.","contributorId":194456,"corporation":false,"usgs":false,"family":"Yokelson","given":"Intan","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":704208,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70187393,"text":"70187393 - 2017 - Population trends and distribution of Common Murre <i>Uria aalge</i> colonies in Washington, 1996-2015","interactions":[],"lastModifiedDate":"2019-12-17T09:28:42","indexId":"70187393","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2675,"text":"Marine Ornithology: Journal of Seabird Research and Conservation","onlineIssn":"2074-1235","printIssn":"1018-3337","active":true,"publicationSubtype":{"id":10}},"title":"Population trends and distribution of Common Murre <i>Uria aalge</i> colonies in Washington, 1996-2015","docAbstract":"<p>Periodic assessments of population trends and changes in spatial distribution are valuable for managing marine birds and their breeding habitats, particularly when evaluating long-term response to threats such as oil spills, predation pressure, and changing ocean conditions. We evaluated recent trends in abundance and distribution of the Common Murre <i>Uria aalge</i> within Copalis, Quillayute Needles, and Flattery Rocks National Wildlife Refuges, which include all murre colonies in Washington except one, off-refuge, on Tatoosh Island. In 1996-2001 and 2010-2015, aerial photographic surveys were conducted during the incubation phase (mid-June through mid-July) each year. Using images from film (1996-2001) and digital (2010-2015) cameras that included all parts of each colony, we manually counted murres. We estimated population trend as annual percent change in whole-colony counts using an overdispersed Poisson regression model. Overall, numbers of murres counted at breeding colonies in Washington increased by 8.8% per year (95% CI 3.0%-14.9%) during 1996–2015. The overall statewide increase was driven by an increase at colonies in northern Washington of approximately 11% per year (95% CI 4.5%-17.8%). Despite an increasing trend, abundance remains lower than levels in the late 1970s, and the spatial distribution has changed. Colonies in southern Washington - where murres were historically the most abundant - are no longer active, or only minimally so, whereas colonies in the north - which were rarely active in the early 1970s - are now the largest. There was high variability in spatial distribution among years, a pattern that indicates a need for coordinated monitoring and movement studies throughout the California Current System to understand dispersal and colonization. Our results indicate that future management of refuge islands could protect both current and historic colony locations, given the patterns of colony dynamics and the uncertainty about long-term effects of a changing ocean ecosystem and predation pressure on the status of murres.</p>","language":"English","publisher":"Marine Ornithology","usgsCitation":"Thomas, S., and Lyons, J.E., 2017, Population trends and distribution of Common Murre <i>Uria aalge</i> colonies in Washington, 1996-2015: Marine Ornithology: Journal of Seabird Research and Conservation, v. 45, no. 1, p. 95-102.","productDescription":"8 p.","startPage":"95","endPage":"102","ipdsId":"IP-079216","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":340686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340685,"type":{"id":15,"text":"Index 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,{"id":70193697,"text":"70193697 - 2017 - Microbial formation of labile organic carbon in Antarctic glacial environments","interactions":[],"lastModifiedDate":"2017-11-20T12:17:44","indexId":"70193697","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Microbial formation of labile organic carbon in Antarctic glacial environments","docAbstract":"<p><span>Roughly six petagrams of organic carbon are stored within ice worldwide. This organic carbon is thought to be of old age and highly bioavailable. Along with storage of ancient and new atmospherically deposited organic carbon, microorganisms may contribute substantially to the glacial organic carbon pool. Models of glacial microbial carbon cycling vary from net respiration to net carbon fixation. Supraglacial streams have not been considered in models although they are amongst the largest ecosystems on most glaciers and are inhabited by diverse microbial communities. Here we investigate the biogeochemical sequence of organic carbon production and uptake in an Antarctic supraglacial stream in the McMurdo Dry Valleys using nanometre-scale secondary ion mass spectrometry, fluorescence spectroscopy, stable isotope analysis and incubation experiments. We find that heterotrophic production relies on highly labile organic carbon freshly derived from photosynthetic bacteria rather than legacy organic carbon. Exudates from primary production were utilized by heterotrophs within 24 h, and supported bacterial growth demands. The tight coupling of microbially released organic carbon and rapid uptake by heterotrophs suggests a dynamic local carbon cycle. Moreover, as temperatures increase there is the potential for positive feedback between glacial melt and microbial transformations of organic&nbsp;carbon.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/ngeo2925","usgsCitation":"Smith, H., Foster, R., McKnight, D., Lisle, J.T., Littmann, S., Kuypers, M., and Foreman, C., 2017, Microbial formation of labile organic carbon in Antarctic glacial environments: Nature Geoscience, v. 10, p. 356-359, https://doi.org/10.1038/ngeo2925.","productDescription":"4 p.","startPage":"356","endPage":"359","ipdsId":"IP-084212","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469882,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.montana.edu/xmlui/handle/1/13063","text":"External Repository"},{"id":349135,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"McMurdo Dry Valleys","volume":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-03","publicationStatus":"PW","scienceBaseUri":"5a60fbd6e4b06e28e9c236ce","contributors":{"authors":[{"text":"Smith, H.J.","contributorId":199755,"corporation":false,"usgs":false,"family":"Smith","given":"H.J.","email":"","affiliations":[],"preferred":false,"id":719951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foster, R.","contributorId":199756,"corporation":false,"usgs":false,"family":"Foster","given":"R.","email":"","affiliations":[],"preferred":false,"id":719952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKnight, D.M.","contributorId":189736,"corporation":false,"usgs":false,"family":"McKnight","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":719953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lisle, John T. 0000-0002-5447-2092 jlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-5447-2092","contributorId":2944,"corporation":false,"usgs":true,"family":"Lisle","given":"John","email":"jlisle@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":719950,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Littmann, S.","contributorId":199757,"corporation":false,"usgs":false,"family":"Littmann","given":"S.","email":"","affiliations":[],"preferred":false,"id":719954,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kuypers, M.M.M.","contributorId":199758,"corporation":false,"usgs":false,"family":"Kuypers","given":"M.M.M.","affiliations":[],"preferred":false,"id":719955,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Foreman, C.M.","contributorId":199759,"corporation":false,"usgs":false,"family":"Foreman","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":719956,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70193706,"text":"70193706 - 2017 - Using variance structure to quantify responses to perturbation in fish catches","interactions":[],"lastModifiedDate":"2017-11-04T20:18:50","indexId":"70193706","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Using variance structure to quantify responses to perturbation in fish catches","docAbstract":"<p>We present a case study evaluation of gill-net catches of Walleye <i>Sander vitreus</i> to assess potential effects of large-scale changes in Oneida Lake, New York, including the disruption of trophic interactions by double-crested cormorants <i>Phalacrocorax auritus</i> and invasive dreissenid mussels. We used the empirical long-term gill-net time series and a negative binomial linear mixed model to partition the variability in catches into spatial and coherent temporal variance components, hypothesizing that variance partitioning can help quantify spatiotemporal variability and determine whether variance structure differs before and after large-scale perturbations. We found that the mean catch and the total variability of catches decreased following perturbation but that not all sampling locations responded in a consistent manner. There was also evidence of some spatial homogenization concurrent with a restructuring of the relative productivity of individual sites. Specifically, offshore sites generally became more productive following the estimated break point in the gill-net time series. These results provide support for the idea that variance structure is responsive to large-scale perturbations; therefore, variance components have potential utility as statistical indicators of response to a changing environment more broadly. The modeling approach described herein is flexible and would be transferable to other systems and metrics. For example, variance partitioning could be used to examine responses to alternative management regimes, to compare variability across physiographic regions, and to describe differences among climate zones. Understanding how individual variance components respond to perturbation may yield finer-scale insights into ecological shifts than focusing on patterns in the mean responses or total variability alone.</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1301992","usgsCitation":"Vidal, T.E., Irwin, B.J., Wagner, T., Rudstam, L.G., Jackson, J.R., and Bence, J., 2017, Using variance structure to quantify responses to perturbation in fish catches: Transactions of the American Fisheries Society, v. 146, no. 4, p. 584-593, https://doi.org/10.1080/00028487.2017.1301992.","productDescription":"10 p.","startPage":"584","endPage":"593","ipdsId":"IP-068926","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"146","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-25","publicationStatus":"PW","scienceBaseUri":"59fedfb3e4b0531197b573c0","contributors":{"authors":[{"text":"Vidal, Tiffany E.","contributorId":169096,"corporation":false,"usgs":false,"family":"Vidal","given":"Tiffany","email":"","middleInitial":"E.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":720353,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irwin, Brian J. 0000-0002-0666-2641 bjirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":4037,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian","email":"bjirwin@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":720354,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":720355,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rudstam, Lars G.","contributorId":56609,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":720356,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, James R.","contributorId":55709,"corporation":false,"usgs":false,"family":"Jackson","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":720357,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bence, James R.","contributorId":95026,"corporation":false,"usgs":false,"family":"Bence","given":"James R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":720358,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193785,"text":"70193785 - 2017 - Functional visual sensitivity to ultraviolet wavelengths in the Pileated Woodpecker (Dryocopus pileatus), and its influence on foraging substrate selection","interactions":[],"lastModifiedDate":"2017-11-06T07:59:15","indexId":"70193785","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3077,"text":"Physiology & Behavior","printIssn":"0031-9384","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Functional visual sensitivity to ultraviolet wavelengths in the Pileated Woodpecker (<i>Dryocopus pileatus</i>), and its influence on foraging substrate selection","title":"Functional visual sensitivity to ultraviolet wavelengths in the Pileated Woodpecker (Dryocopus pileatus), and its influence on foraging substrate selection","docAbstract":"<p><span>Most diurnal birds are presumed visually sensitive to near ultraviolet (UV) wavelengths, however, controlled behavioral studies investigating UV sensitivity remain few. Although woodpeckers are important as primary cavity excavators and nuisance animals, published work on their visual systems is limited. We developed a novel foraging-based behavioral assay designed to test UV sensitivity in the Pileated Woodpecker (</span><i>Dryocopus pileatus</i>). We acclimated 21 wild-caught woodpeckers to foraging for frozen mealworms within 1.2&nbsp;m sections of peeled cedar (<i>Thuja</i> spp.) poles. We then tested the functional significance of UV cues by placing frozen mealworms behind UV-reflective covers, UV-absorptive covers, or decayed red pine substrates within the same 1.2&nbsp;m poles in independent experiments. Behavioral responses were greater toward both UV-reflective and UV-absorptive substrates in three experiments. Study subjects therefore reliably differentiated and attended to two distinct UV conditions of a foraging substrate. Cue-naïve subjects showed a preference for UV-absorptive substrates, suggesting that woodpeckers may be pre-disposed to foraging from such substrates. Behavioral responses were greater toward decayed pine substrates (UV-reflective) than sound pine substrates suggesting that decayed pine can be a useful foraging cue. The finding that cue-naïve subjects selected UV-absorbing foraging substrates has implications for ecological interactions of woodpeckers with fungi. Woodpeckers transport fungal spores, and communication methods analogous to those of plant-pollinator mutualisms (i.e. UV-absorbing patterns) may have evolved to support woodpecker-fungus mutualisms.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.physbeh.2017.02.041","usgsCitation":"O’Daniels, S.T., Kesler, D.C., Mihail, J.D., Webb, E.B., and Werner, S.J., 2017, Functional visual sensitivity to ultraviolet wavelengths in the Pileated Woodpecker (Dryocopus pileatus), and its influence on foraging substrate selection: Physiology & Behavior, v. 174, p. 144-154, https://doi.org/10.1016/j.physbeh.2017.02.041.","productDescription":"11 p.","startPage":"144","endPage":"154","ipdsId":"IP-078311","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469891,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.physbeh.2017.02.041","text":"Publisher Index Page"},{"id":348220,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"174","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e8f6e4b09af898c8cbd7","contributors":{"authors":[{"text":"O’Daniels, Sean T.","contributorId":191937,"corporation":false,"usgs":false,"family":"O’Daniels","given":"Sean","email":"","middleInitial":"T.","affiliations":[{"id":27683,"text":"Missouri Cooperative Fish and Wildlife Research Unit, University of Missouri, Columbia, MO","active":true,"usgs":false}],"preferred":false,"id":720506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kesler, Dylan C.","contributorId":14358,"corporation":false,"usgs":false,"family":"Kesler","given":"Dylan","email":"","middleInitial":"C.","affiliations":[{"id":6769,"text":"University of Missouri, Columbia, MO","active":true,"usgs":false}],"preferred":false,"id":720546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mihail, Jeanne D.","contributorId":1842,"corporation":false,"usgs":false,"family":"Mihail","given":"Jeanne","email":"","middleInitial":"D.","affiliations":[{"id":6769,"text":"University of Missouri, Columbia, MO","active":true,"usgs":false}],"preferred":false,"id":720547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":720548,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Werner, Scott J.","contributorId":27149,"corporation":false,"usgs":false,"family":"Werner","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":12749,"text":"USDA APHIS National Wildlife Research Center, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":720549,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70195117,"text":"70195117 - 2017 - Advancing coastal ocean modelling, analysis, and prediction for the US Integrated Ocean Observing System","interactions":[],"lastModifiedDate":"2021-10-26T15:52:22.76388","indexId":"70195117","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5621,"text":"Journal of Operational Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Advancing coastal ocean modelling, analysis, and prediction for the US Integrated Ocean Observing System","docAbstract":"<p><span>This paper outlines strategies that would advance coastal ocean modelling, analysis and prediction as a complement to the observing and data management activities of the coastal components of the US Integrated Ocean Observing System (IOOS®) and the Global Ocean Observing System (GOOS). The views presented are the consensus of a group of US-based researchers with a cross-section of coastal oceanography and ocean modelling expertise and community representation drawn from Regional and US Federal partners in IOOS. Priorities for research and development are suggested that would enhance the value of IOOS observations through model-based synthesis, deliver better model-based information products, and assist the design, evaluation, and operation of the observing system itself. The proposed priorities are: model coupling, data assimilation, nearshore processes, cyberinfrastructure and model skill assessment, modelling for observing system design, evaluation and operation, ensemble prediction, and fast predictors. Approaches are suggested to accomplish substantial progress in a 3–8-year timeframe. In addition, the group proposes steps to promote collaboration between research and operations groups in Regional Associations, US Federal Agencies, and the international ocean research community in general that would foster coordination on scientific and technical issues, and strengthen federal–academic partnerships benefiting IOOS stakeholders and end users.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/1755876X.2017.1322026","usgsCitation":"Wilkin, J.L., Rosenfeld, L., Allen, A., Baltes, R., Baptista, A., He, R., Hogan, P., Kurapov, A., Mehra, A., Quintrell, J., Schwab, D., Signell, R.P., and Smith, J., 2017, Advancing coastal ocean modelling, analysis, and prediction for the US Integrated Ocean Observing System: Journal of Operational Oceanography, v. 10, no. 2, p. 115-126, https://doi.org/10.1080/1755876X.2017.1322026.","productDescription":"12 p.","startPage":"115","endPage":"126","ipdsId":"IP-086129","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469897,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/1755876x.2017.1322026","text":"Publisher Index Page"},{"id":351300,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"2","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-20","publicationStatus":"PW","scienceBaseUri":"5a7c1e7ce4b00f54eb229351","contributors":{"authors":[{"text":"Wilkin, John L. 0000-0002-5444-9466","orcid":"https://orcid.org/0000-0002-5444-9466","contributorId":28872,"corporation":false,"usgs":true,"family":"Wilkin","given":"John","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":727018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenfeld, Leslie 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Association","active":true,"usgs":false}],"preferred":false,"id":727027,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schwab, David","contributorId":202190,"corporation":false,"usgs":false,"family":"Schwab","given":"David","affiliations":[],"preferred":false,"id":727028,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Signell, Richard P. 0000-0003-0682-9613 rsignell@usgs.gov","orcid":"https://orcid.org/0000-0003-0682-9613","contributorId":140906,"corporation":false,"usgs":true,"family":"Signell","given":"Richard","email":"rsignell@usgs.gov","middleInitial":"P.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":727017,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Smith, 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,{"id":70191301,"text":"70191301 - 2017 - Landscape-scale quantification of fire-induced change in canopy cover following mountain pine beetle outbreak and timber harvest","interactions":[],"lastModifiedDate":"2017-10-03T16:38:30","indexId":"70191301","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Landscape-scale quantification of fire-induced change in canopy cover following mountain pine beetle outbreak and timber harvest","docAbstract":"<p><span>Across the western United States, the three primary drivers of tree mortality and carbon balance are bark beetles, timber harvest, and wildfire. While these agents of forest change frequently overlap, uncertainty remains regarding their interactions and influence on specific subsequent fire effects such as change in canopy cover. Acquisition of pre- and post-fire Light Detection and Ranging (LiDAR) data on the 2012 Pole Creek Fire in central Oregon provided an opportunity to isolate and quantify fire effects coincident with specific agents of change. This study characterizes the influence of pre-fire mountain pine beetle (MPB;&nbsp;</span><i>Dendroctonus ponderosae</i><span>) and timber harvest disturbances on LiDAR-estimated change in canopy cover. Observed canopy loss from fire was greater (higher severity) in areas experiencing pre-fire MPB (Δ 18.8%CC) than fire-only (Δ 11.1%CC). Additionally, increasing MPB intensity was directly related to greater canopy loss. Canopy loss was lower for all areas of pre-fire timber harvest (Δ 3.9%CC) than for fire-only, but among harvested areas, the greatest change was observed in the oldest treatments and the most intensive treatments [i.e., stand clearcut (Δ 5.0%CC) and combination of shelterwood establishment cuts and shelterwood removal cuts (Δ 7.7%CC)]. These results highlight the importance of accounting for and understanding the impact of pre-fire agents of change such as MPB and timber harvest on subsequent fire effects in land management planning. This work also demonstrates the utility of multi-temporal LiDAR as a tool for quantifying these landscape-scale interactions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2017.02.015","usgsCitation":"McCarley, T.R., Kolden, C.A., Vaillant, N.M., Hudak, A.T., Smith, A., and Kreitler, J.R., 2017, Landscape-scale quantification of fire-induced change in canopy cover following mountain pine beetle outbreak and timber harvest: Forest Ecology and Management, v. 391, p. 164-175, https://doi.org/10.1016/j.foreco.2017.02.015.","productDescription":"12 p.","startPage":"164","endPage":"175","ipdsId":"IP-079599","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469889,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2017.02.015","text":"Publisher Index Page"},{"id":346372,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Pole Creek Fire","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.85073852539064,\n              44.04614157509527\n            ],\n            [\n              -121.50329589843749,\n              44.04614157509527\n            ],\n            [\n              -121.50329589843749,\n              44.29043508918884\n            ],\n            [\n              -121.85073852539064,\n              44.29043508918884\n            ],\n            [\n              -121.85073852539064,\n              44.04614157509527\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"391","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d4a1a8e4b05fe04cc4e0f7","contributors":{"authors":[{"text":"McCarley, T. 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,{"id":70195433,"text":"70195433 - 2017 - Neutron scattering measurements of carbon dioxide adsorption in pores within the Marcellus Shale: Implications for sequestration","interactions":[],"lastModifiedDate":"2018-04-02T10:03:30","indexId":"70195433","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Neutron scattering measurements of carbon dioxide adsorption in pores within the Marcellus Shale: Implications for sequestration","docAbstract":"<p><span>Shale is an increasingly viable source of natural gas and a potential candidate for geologic CO</span><sub>2</sub><span>sequestration. Understanding the gas adsorption behavior on shale is necessary for the design of optimal gas recovery and sequestration projects. In the present study neutron diffraction and small-angle neutron scattering measurements of adsorbed CO</span><sub>2</sub><span><span>&nbsp;</span>in Marcellus Shale samples were conducted on the Near and InterMediate Range Order Diffractometer (NIMROD) at the ISIS Pulsed Neutron and Muon Source, STFC Rutherford Appleton Laboratory along an adsorption isotherm of 22 °C and pressures of 25 and 40 bar. Additional measurements were conducted at approximately 22 and 60 °C at the same pressures on the General-Purpose Small-Angle Neutron Scattering (GP-SANS) instrument at Oak Ridge National Laboratory. The structures investigated (pores) for CO</span><sub>2</sub><span><span>&nbsp;</span>adsorption range in size from Å level to ∼50 nm. The results indicate that, using the conditions investigated densification or condensation effects occurred in all accessible pores. The data suggest that at 22 °C the CO</span><sub>2</sub><span><span>&nbsp;</span>has liquid-like properties when confined in pores of around 1 nm radius at pressures as low as 25 bar. Many of the 2.5 nm pores, 70% of 2 nm pores, most of the &lt;1 nm pores, and all pores &lt;0.25 nm, are inaccessible or closed to CO</span><sub>2</sub><span>, suggesting that despite the vast numbers of micropores in shale, the micropores will be unavailable for storage for geologic CO</span><sub>2</sub><span><span>&nbsp;</span>sequestration.</span></p>","language":"English","publisher":"ACS","doi":"10.1021/acs.est.6b05707","usgsCitation":"Stefanopoulos, K.L., Youngs, T.G., Sakurovs, R., Ruppert, L.F., Bahadur, J., and Melnichenko, Y.B., 2017, Neutron scattering measurements of carbon dioxide adsorption in pores within the Marcellus Shale: Implications for sequestration: Environmental Science & Technology, v. 51, no. 11, p. 6515-6521, https://doi.org/10.1021/acs.est.6b05707.","productDescription":"7 p.","startPage":"6515","endPage":"6521","ipdsId":"IP-081182","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":469890,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1356718","text":"Publisher Index Page"},{"id":352996,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"11","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-12","publicationStatus":"PW","scienceBaseUri":"5afee886e4b0da30c1bfc462","contributors":{"authors":[{"text":"Stefanopoulos, Konstantinos L.","contributorId":202501,"corporation":false,"usgs":false,"family":"Stefanopoulos","given":"Konstantinos","email":"","middleInitial":"L.","affiliations":[{"id":36464,"text":"Institute of Nanoscience and Nanotechnology, NCSR “Demokritos”, Greece","active":true,"usgs":false}],"preferred":false,"id":728583,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Youngs, Tristan G. A.","contributorId":202502,"corporation":false,"usgs":false,"family":"Youngs","given":"Tristan","email":"","middleInitial":"G. A.","affiliations":[{"id":36465,"text":"Disordered Materials Group (ISIS), STFC Rutherford Appleton Laboratory, U.K.","active":true,"usgs":false}],"preferred":false,"id":728584,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sakurovs, Richard 0000-0003-0967-6560","orcid":"https://orcid.org/0000-0003-0967-6560","contributorId":196194,"corporation":false,"usgs":false,"family":"Sakurovs","given":"Richard","email":"","affiliations":[],"preferred":false,"id":728585,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruppert, Leslie F. 0000-0002-7453-1061 lruppert@usgs.gov","orcid":"https://orcid.org/0000-0002-7453-1061","contributorId":660,"corporation":false,"usgs":true,"family":"Ruppert","given":"Leslie","email":"lruppert@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":728582,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bahadur, Jitendra","contributorId":202499,"corporation":false,"usgs":false,"family":"Bahadur","given":"Jitendra","email":"","affiliations":[{"id":36462,"text":"Bhabha Atomic Research Centre","active":true,"usgs":false}],"preferred":false,"id":728586,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Melnichenko, Yuri B.","contributorId":196197,"corporation":false,"usgs":false,"family":"Melnichenko","given":"Yuri","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":728587,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192831,"text":"70192831 - 2017 - A report on upgraded seismic monitoring stations in Myanmar: Station performance and site response","interactions":[],"lastModifiedDate":"2017-10-30T16:33:18","indexId":"70192831","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","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":"A report on upgraded seismic monitoring stations in Myanmar: Station performance and site response","docAbstract":"<p><span>Myanmar is in a tectonically complex region between the eastern edge of the Himalayan collision zone and the northern end of the Sunda megathrust. Until recently, earthquake monitoring and research efforts have been hampered by a lack of modern instrumentation and communication infrastructure. In January 2016, a major upgrade of the Myanmar National Seismic Network (MNSN; network code MM) was undertaken to improve earthquake monitoring capability. We installed five permanent broadband and strong‐motion seismic stations and real‐time data telemetry using newly improved cellular networks. Data are telemetered to the MNSN hub in Nay Pyi Taw and archived at the Incorporated Research Institutions for Seismology Data Management Center. We analyzed station noise characteristics and site response using noise and events recorded over the first six months of station operation. Background noise characteristics vary across the array, but indicate that the new stations are performing well. MM stations recorded more than 20 earthquakes of&nbsp;</span><i>M</i><span>≥4.5 within Myanmar and its immediate surroundings, including an<span>&nbsp;</span></span><i>M</i><span>&nbsp;6.8 earthquake located northwest of Mandalay on 13 April 2016 and the<span>&nbsp;</span></span><i>M</i><sub>w</sub><span>&nbsp;6.8 Chauk event on 24 August 2016. We use this new dataset to calculate horizontal‐to‐vertical spectral ratios, which provide a preliminary characterization of site response of the upgraded MM stations.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220160168","usgsCitation":"Thiam, H.N., Min Htwe, Y.M., Kyaw, T.L., Tun, P.P., Min, Z., Htwe, S.H., Aung, T.M., Lin, K.K., Aung, M.M., De Cristofaro, J., Franke, M., Radman, S., Lepiten, E., Wolin, E., and Hough, S.E., 2017, A report on upgraded seismic monitoring stations in Myanmar: Station performance and site response: Seismological Research Letters, v. 88, no. 3, p. 926-934, https://doi.org/10.1785/0220160168.","productDescription":"9 p.","startPage":"926","endPage":"934","ipdsId":"IP-084392","costCenters":[{"id":237,"text":"Earthquake Science 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Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-22","publicationStatus":"PW","scienceBaseUri":"59f83a37e4b063d5d30980e1","contributors":{"authors":[{"text":"Thiam, Hrin Nei","contributorId":198766,"corporation":false,"usgs":false,"family":"Thiam","given":"Hrin","email":"","middleInitial":"Nei","affiliations":[],"preferred":false,"id":717099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Min Htwe, Yin Myo","contributorId":198767,"corporation":false,"usgs":false,"family":"Min Htwe","given":"Yin","email":"","middleInitial":"Myo","affiliations":[],"preferred":false,"id":717100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kyaw, Tun Lin","contributorId":198768,"corporation":false,"usgs":false,"family":"Kyaw","given":"Tun","email":"","middleInitial":"Lin","affiliations":[],"preferred":false,"id":717101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tun, Pa 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Kyaw","contributorId":198773,"corporation":false,"usgs":false,"family":"Lin","given":"Kyaw","email":"","middleInitial":"Kyaw","affiliations":[],"preferred":false,"id":717106,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Aung, Myat Min","contributorId":198774,"corporation":false,"usgs":false,"family":"Aung","given":"Myat","email":"","middleInitial":"Min","affiliations":[],"preferred":false,"id":717107,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"De Cristofaro, Jason 0000-0001-8179-2393 jdecristofaro@usgs.gov","orcid":"https://orcid.org/0000-0001-8179-2393","contributorId":198779,"corporation":false,"usgs":true,"family":"De Cristofaro","given":"Jason","email":"jdecristofaro@usgs.gov","affiliations":[],"preferred":true,"id":717112,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Franke, Mathias","contributorId":198775,"corporation":false,"usgs":false,"family":"Franke","given":"Mathias","email":"","affiliations":[],"preferred":false,"id":717108,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Radman, Stefan","contributorId":198776,"corporation":false,"usgs":false,"family":"Radman","given":"Stefan","email":"","affiliations":[],"preferred":false,"id":717109,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lepiten, Elouie","contributorId":198777,"corporation":false,"usgs":false,"family":"Lepiten","given":"Elouie","email":"","affiliations":[],"preferred":false,"id":717110,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wolin, Emily 0000-0003-1610-1191 ewolin@usgs.gov","orcid":"https://orcid.org/0000-0003-1610-1191","contributorId":198778,"corporation":false,"usgs":true,"family":"Wolin","given":"Emily","email":"ewolin@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":717111,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":717098,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70193426,"text":"70193426 - 2017 - Spatial variation in polycyclic aromatic hydrocarbon exposure in Barrow's goldeneye (Bucephala islandica) in coastal British Columbia","interactions":[],"lastModifiedDate":"2017-11-01T13:15:52","indexId":"70193426","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Spatial variation in polycyclic aromatic hydrocarbon exposure in Barrow's goldeneye (<i>Bucephala islandica</i>) in coastal British Columbia","title":"Spatial variation in polycyclic aromatic hydrocarbon exposure in Barrow's goldeneye (Bucephala islandica) in coastal British Columbia","docAbstract":"<p><span>Barrow's goldeneyes are <a title=\"Learn more about Merginae\" href=\"http://www.sciencedirect.com/topics/agricultural-and-biological-sciences/merginae\" data-mce-href=\"http://www.sciencedirect.com/topics/agricultural-and-biological-sciences/merginae\">sea ducks</a> that winter throughout coastal British Columbia (BC). Their diet consists primarily of <a title=\"Learn more about Intertidal zone\" href=\"http://www.sciencedirect.com/topics/agricultural-and-biological-sciences/intertidal-zone\" data-mce-href=\"http://www.sciencedirect.com/topics/agricultural-and-biological-sciences/intertidal-zone\">intertidal</a> blue mussels, which can accumulate PAHs; accordingly, goldeneyes may be susceptible to exposure through contaminated prey. In 2014/15, we examined total PAH concentrations in mussels from undeveloped and developed coastal areas of BC. At those same sites, we used EROD to measure <a title=\"Learn more about Marchantiophyta\" href=\"http://www.sciencedirect.com/topics/agricultural-and-biological-sciences/marchantiophyta\" data-mce-href=\"http://www.sciencedirect.com/topics/agricultural-and-biological-sciences/marchantiophyta\">hepatic</a> </span><a title=\"Learn more about Cytochrome P450, family 1, member A1\" href=\"http://www.sciencedirect.com/topics/agricultural-and-biological-sciences/cytochrome-p450-family-1-member-a1\" data-mce-href=\"http://www.sciencedirect.com/topics/agricultural-and-biological-sciences/cytochrome-p450-family-1-member-a1\">CYP1A</a> induction in goldeneyes. We found higher mussel PAH concentrations at developed coastal sites. Regionally, goldeneyes from southern BC, which has relatively higher coastal development, had higher EROD activity compared to birds from northern BC. Our results suggest goldeneyes wintering in coastal BC were exposed to PAHs through diet, with higher exposure among birds wintering in coastal areas with greater anthropogenic influence. These results suggest the mussel-goldeneye system is suitable as a natural, multi-trophic-level indicator of contemporary hydrocarbon contamination occurrence and exposure useful for establishing oil spill recovery endpoints.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2017.02.010","usgsCitation":"Willie, M., Esler, D., Boyd, W.S., Molloy, P., and Ydenberg, R.C., 2017, Spatial variation in polycyclic aromatic hydrocarbon exposure in Barrow's goldeneye (Bucephala islandica) in coastal British Columbia: Marine Pollution Bulletin, v. 118, no. 1-2, p. 167-179, https://doi.org/10.1016/j.marpolbul.2017.02.010.","productDescription":"14 p.","startPage":"167","endPage":"179","ipdsId":"IP-078959","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":348014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"British Columbia","volume":"118","issue":"1-2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fadd23e4b0531197b13c9a","contributors":{"authors":[{"text":"Willie, Megan","contributorId":199404,"corporation":false,"usgs":false,"family":"Willie","given":"Megan","email":"","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false}],"preferred":false,"id":719002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esler, Daniel 0000-0001-5501-4555 desler@usgs.gov","orcid":"https://orcid.org/0000-0001-5501-4555","contributorId":5465,"corporation":false,"usgs":true,"family":"Esler","given":"Daniel","email":"desler@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":719001,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boyd, W. Sean","contributorId":199405,"corporation":false,"usgs":false,"family":"Boyd","given":"W.","email":"","middleInitial":"Sean","affiliations":[{"id":35539,"text":"Science and Technology Branch, Environment and Climate Change Canada, Delta, BC, Canada","active":true,"usgs":false}],"preferred":false,"id":719003,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Molloy, Philip","contributorId":199406,"corporation":false,"usgs":false,"family":"Molloy","given":"Philip","email":"","affiliations":[{"id":35540,"text":"Stantec Consulting, Ltd., Sidney, BC, Canada","active":true,"usgs":false}],"preferred":false,"id":719004,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ydenberg, Ronald C.","contributorId":199407,"corporation":false,"usgs":false,"family":"Ydenberg","given":"Ronald","email":"","middleInitial":"C.","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false}],"preferred":false,"id":719005,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192811,"text":"70192811 - 2017 - Cosmogenic nuclide age estimate for Laurentide Ice Sheet recession from the terminal moraine, New Jersey, USA, and constraints on latest Pleistocene ice sheet history","interactions":[],"lastModifiedDate":"2017-11-13T13:25:46","indexId":"70192811","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Cosmogenic nuclide age estimate for Laurentide Ice Sheet recession from the terminal moraine, New Jersey, USA, and constraints on latest Pleistocene ice sheet history","docAbstract":"<p>The time at which the Laurentide Ice Sheet reached its maximum extent and subsequently retreated from its terminal moraine in New Jersey has been constrained by bracketing radiocarbon ages on preglacial and postglacial sediments. Here, we present measurements of in situ produced <span class=\"sup\">10</span>Be and <span class=\"sup\">26</span>Al in 16 quartz-bearing samples collected from bedrock outcrops and glacial erratics just north of the terminal moraine in north-central New Jersey; as such, our ages represent a minimum limit on the timing of ice recession from the moraine. The data set includes field and laboratory replicates, as well as replication of the entire data set five years after initial measurement. We find that recession of the Laurentide Ice Sheet from the terminal moraine in New Jersey began before 25.2±2.1 ka (<span class=\"sup\">10</span>Be, n=16, average, 1 standard deviation). This cosmogenic nuclide exposure age is consistent with existing limiting radiocarbon ages in the study area and cosmogenic nuclide exposure ages from the terminal moraine on Martha’s Vineyard ~300 km to the northeast. The age we propose for Laurentide Ice Sheet retreat from the New Jersey terminal position is broadly consistent with regional and global climate records of the last glacial maximum termination and records of fluvial incision.</p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/qua.2017.11","usgsCitation":"Corbett, L.B., Bierman, P., Stone, B.D., Caffee, M.W., and Larsen, P.L., 2017, Cosmogenic nuclide age estimate for Laurentide Ice Sheet recession from the terminal moraine, New Jersey, USA, and constraints on latest Pleistocene ice sheet history: Quaternary Research, v. 87, no. 3, p. 482-498, https://doi.org/10.1017/qua.2017.11.","productDescription":"17 p.","startPage":"482","endPage":"498","ipdsId":"IP-077896","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":348702,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","volume":"87","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-18","publicationStatus":"PW","scienceBaseUri":"5a60fbd6e4b06e28e9c236d3","contributors":{"authors":[{"text":"Corbett, Lee B.","contributorId":152123,"corporation":false,"usgs":false,"family":"Corbett","given":"Lee","email":"","middleInitial":"B.","affiliations":[{"id":17809,"text":"University of Vermont, Burlington","active":true,"usgs":false}],"preferred":false,"id":717037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bierman, Paul R.","contributorId":198743,"corporation":false,"usgs":false,"family":"Bierman","given":"Paul R.","affiliations":[{"id":17809,"text":"University of Vermont, Burlington","active":true,"usgs":false}],"preferred":false,"id":717038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, Byron D. 0000-0001-6092-0798 bdstone@usgs.gov","orcid":"https://orcid.org/0000-0001-6092-0798","contributorId":1702,"corporation":false,"usgs":true,"family":"Stone","given":"Byron","email":"bdstone@usgs.gov","middleInitial":"D.","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":717036,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caffee, Marc W. 0000-0002-6846-8967","orcid":"https://orcid.org/0000-0002-6846-8967","contributorId":193417,"corporation":false,"usgs":false,"family":"Caffee","given":"Marc","email":"","middleInitial":"W.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":717039,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larsen, Patrick L.","contributorId":198744,"corporation":false,"usgs":false,"family":"Larsen","given":"Patrick","email":"","middleInitial":"L.","affiliations":[{"id":17809,"text":"University of Vermont, Burlington","active":true,"usgs":false}],"preferred":false,"id":717040,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192744,"text":"70192744 - 2017 - The history of mercury pollution near the Spolana chlor-alkali plant (Neratovice, Czech Republic) as recorded by Scots pine tree rings and other bioindicators","interactions":[],"lastModifiedDate":"2017-11-13T14:19:34","indexId":"70192744","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"The history of mercury pollution near the Spolana chlor-alkali plant (Neratovice, Czech Republic) as recorded by Scots pine tree rings and other bioindicators","docAbstract":"<p>We assessed &gt;&nbsp;100&nbsp;years of mercury (Hg) pollution recorded in the tree rings of Scots Pine near a Czech chlor-alkali plant operating since 1941. Hg concentrations in tree rings increased with the launching of plant operations and decreased when Hg emissions decreased in 1975 due to an upgrade in production technology. Similar to traditional bioindicators of pollution such as pine needles, bark and forest floor humus, Hg concentrations in Scots Pine boles decreased with distance from the plant. Mean Hg in pine bole in the 1940s ranged from 32.5&nbsp;μg/kg Hg at a distance of 0.5&nbsp;km from the plant to 5.4&nbsp;μg/kg at a distance of &gt;&nbsp;4.7&nbsp;km, where tree ring Hg was the same as at a reference site, and other bioindicators also suggest that the effect of the plant was no longer discernible. Tree ring Hg concentrations decreased by 8–29&nbsp;μg/kg since the 1940s at all study sites including the reference site. The lack of exact correspondence between changes at the plant and tree ring Hg indicated some smearing of the signal due to lateral translocation of Hg from sapwood to heartwood. Bole Hg concentrations reflected local and regional atmospheric Hg concentrations, and not Hg wet deposition.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.02.112","usgsCitation":"Navrátil, T., Simecek, M., Shanley, J.B., Rohovec, J., Hojdova, M., and Houska, J., 2017, The history of mercury pollution near the Spolana chlor-alkali plant (Neratovice, Czech Republic) as recorded by Scots pine tree rings and other bioindicators: Science of the Total Environment, v. 586, https://doi.org/10.1016/j.scitotenv.2017.02.112.","productDescription":"11 p.","startPage":"1192","ipdsId":"IP-083992","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":348713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Czech Republic","city":"Neratovice","otherGeospatial":"Spolana chlor-alkali plant","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              14.4580078125,\n              50.20898843999949\n            ],\n            [\n              14.590530395507812,\n              50.20898843999949\n            ],\n            [\n              14.590530395507812,\n              50.3077613106073\n            ],\n            [\n              14.4580078125,\n              50.3077613106073\n            ],\n            [\n              14.4580078125,\n              50.20898843999949\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"586","edition":"1182","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fbd6e4b06e28e9c236d7","contributors":{"authors":[{"text":"Navrátil, Tomáš","contributorId":149720,"corporation":false,"usgs":false,"family":"Navrátil","given":"Tomáš","affiliations":[{"id":17790,"text":"Czech Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":716807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simecek, Martin","contributorId":198385,"corporation":false,"usgs":false,"family":"Simecek","given":"Martin","email":"","affiliations":[{"id":35216,"text":"Institute of Geology AS CR, v.v.i., Rozvojová 269, 165 00 Prague 6, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":716808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":716806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rohovec, Jan","contributorId":149721,"corporation":false,"usgs":false,"family":"Rohovec","given":"Jan","email":"","affiliations":[{"id":17790,"text":"Czech Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":716809,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hojdova, Maria","contributorId":198685,"corporation":false,"usgs":false,"family":"Hojdova","given":"Maria","email":"","affiliations":[{"id":35739,"text":"Institute of Geology of CAS, v.v.i., Rozvojová 269, 165 00 Prague 6, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":716810,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Houska, Jakub","contributorId":198386,"corporation":false,"usgs":false,"family":"Houska","given":"Jakub","email":"","affiliations":[{"id":29875,"text":"Czech University of Life Sciences, Praha 6-Suchdol, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":716811,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192603,"text":"70192603 - 2017 - Magmatic degassing, lava dome extrusion, and explosions from Mount Cleveland volcano, Alaska, 2011–2015: Insight into the continuous nature of volcanic activity over multi-year timescales","interactions":[],"lastModifiedDate":"2017-10-31T16:46:52","indexId":"70192603","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Magmatic degassing, lava dome extrusion, and explosions from Mount Cleveland volcano, Alaska, 2011–2015: Insight into the continuous nature of volcanic activity over multi-year timescales","docAbstract":"<p><span>Mount Cleveland volcano (1730&nbsp;m) is one of the most active volcanoes in the Aleutian arc, Alaska, but heightened activity is rarely accompanied by geophysical signals, which makes interpretation of the activity difficult. In this study, we combine volcanic gas emissions measured for the first time in August 2015 with longer-term measurements of thermal output and lava extrusion rates between 2011 and 2015 calculated from MODIS satellite data with the aim to develop a better understanding of the nature of volcanic activity at Mount Cleveland. Degassing measurements were made in the month following two explosive events (21 July and 7 August 2015) and during a period of new dome growth in the summit crater. SO</span><sub>2</sub><span><span>&nbsp;</span>emission rates ranged from 400 to 860&nbsp;t&nbsp;d</span><sup>−&nbsp;1</sup><span><span>&nbsp;</span>and CO</span><sub>2</sub><span>/SO</span><sub>2</sub><span><span>&nbsp;</span>ratios were &lt;&nbsp;3, consistent with the presence of shallow magma in the conduit and the observed growth of a new lava dome. Thermal anomalies derived from MODIS data from 2011 to 2015 had an average repose time of only 4&nbsp;days, pointing to the continuous nature of volcanic activity at this volcano. Rapid increases in the cumulative thermal output were often coincident with visual confirmation of dome growth or accumulations of tephra in the crater. The average rate of lava extrusion calculated for 9 periods of rapid increase in thermal output was 0.28&nbsp;m</span><sup>3</sup><span>&nbsp;s</span><sup>−&nbsp;1</sup><span>, and the total volume extruded from 2011 to 2015 was 1.9–5.8&nbsp;Mm</span><sup>3</sup><span>. The thermal output from the lava extrusion events only accounts for roughly half of the thermal budget, suggesting a continued presence of shallow magma in the upper conduit, likely driven by convection. Axisymmetric dome morphology and occasional drain back of lava into the conduit suggests low-viscosity magmas drive volcanism at Mount Cleveland. It follows also that only small overpressures can be maintained given the small domes and fluid magmas, which is consistent with the low explosivity of most of Mount Cleveland's eruptions. Changes between phases of dome growth and explosive activity are somewhat unpredictable and likely result from plugs that are related to the dome obtaining a critical dimension, or from small variations in the magma ascent rate that lead to crystallization-induced blockages in the upper conduit, thereby reducing the ability of magma to degas. We suggest the small magma volumes, slow ascent rates, and low magma viscosity lead to the overall lack of anomalous geophysical signals prior to eruptions, and that more continuous volcanic degassing measurements might lead to more successful eruption forecasting at this continuously-active open-vent volcano.</span></p>","language":"English","publisher":"Elsever","doi":"10.1016/j.jvolgeores.2017.03.001","usgsCitation":"Werner, C., Kern, C., Coppola, D., Lyons, J.J., Kelly, P.J., Wallace, K.L., Schneider, D.J., and Wessels, R., 2017, Magmatic degassing, lava dome extrusion, and explosions from Mount Cleveland volcano, Alaska, 2011–2015: Insight into the continuous nature of volcanic activity over multi-year timescales: Journal of Volcanology and Geothermal Research, v. 337, p. 98-110, https://doi.org/10.1016/j.jvolgeores.2017.03.001.","productDescription":"13 p.","startPage":"98","endPage":"110","ipdsId":"IP-081346","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469894,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://hdl.handle.net/2318/1652262","text":"Publisher Index Page"},{"id":347945,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Mount Cleveland Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -171.650390625,\n              52.22443459871999\n            ],\n            [\n              -166.57470703125,\n              52.22443459871999\n            ],\n            [\n              -166.57470703125,\n              54.04971418210692\n            ],\n            [\n              -171.650390625,\n              54.04971418210692\n            ],\n            [\n              -171.650390625,\n              52.22443459871999\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"337","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f98bb7e4b0531197af9ff0","contributors":{"authors":[{"text":"Werner, Cynthia","contributorId":198599,"corporation":false,"usgs":false,"family":"Werner","given":"Cynthia","affiliations":[],"preferred":false,"id":716519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science 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