Introduction of Asian strain H5N1 Highly Pathogenic avian influenca via waterfowl migration is one potential route of entry into the United States. In conjunction with state, tribe, and laboratory partners, the United States Department of Agriculture collected and tested 124,603 wild bird samples in 2006 as part of a national surveillance effort. A sampling plan was devised to increase the probability fo detecting Asian strain H5N1 at a national scale. Band recovery data were used to identify and prioritize sampling for wild migratory waterfowl, resulting in spatially targeted sampling recommendations focused on reads with high numbers of recoveries. We also compared the spatial and temporal distribution of the 2006 cloacal and fecal waterfowl sampling effort to the bird banding recovery data and found concordance between the two .Finally, we present improvements made to the 2007 fecal sampling component of the surveillance plan and suggest further improvements for future sampling.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Pandemic influenza viruses: Science, surveillance and public health","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"The Pennsylvania Academy of Science","publisherLocation":"Easton, PA","usgsCitation":"Farnsworth, M.L., Kendall, W.L., Doherty, P.F., Miller, R.S., White, G.C., Nichols, J., Burnham, K.P., and Franklin, A.B., 2011, Targeted surveillance for highly pathogenic avian influenza in migratory waterfowl across the conterminous United States: chapter 12, chap. of Pandemic influenza viruses: Science, surveillance and public health, p. 143-155.","productDescription":"13 p.","startPage":"143","endPage":"155","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":271654,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.24414062499999,\n 24.846565348219734\n ],\n [\n -125.24414062499999,\n 49.55372551347579\n ],\n [\n -66.70898437499999,\n 49.55372551347579\n ],\n [\n -66.70898437499999,\n 24.846565348219734\n ],\n [\n -125.24414062499999,\n 24.846565348219734\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5180e7eee4b0df838b924dbf","contributors":{"editors":[{"text":"Majumdar, S.","contributorId":112433,"corporation":false,"usgs":true,"family":"Majumdar","given":"S.","email":"","affiliations":[],"preferred":false,"id":509315,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Brenner, F.J.","contributorId":111614,"corporation":false,"usgs":true,"family":"Brenner","given":"F.J.","email":"","affiliations":[],"preferred":false,"id":509312,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Huffman, J.E.","contributorId":114005,"corporation":false,"usgs":true,"family":"Huffman","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":509317,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"McLean, R. 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Jr.","contributorId":37636,"corporation":false,"usgs":false,"family":"Doherty","given":"Paul","suffix":"Jr.","email":"","middleInitial":"F.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":478147,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Ryan S.","contributorId":49005,"corporation":false,"usgs":false,"family":"Miller","given":"Ryan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":478146,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Gary C.","contributorId":66831,"corporation":false,"usgs":false,"family":"White","given":"Gary","email":"","middleInitial":"C.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":478145,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":478144,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Burnham, Kenneth P.","contributorId":95025,"corporation":false,"usgs":true,"family":"Burnham","given":"Kenneth","email":"","middleInitial":"P.","affiliations":[{"id":189,"text":"Colorado Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":478149,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Franklin, Alan B.","contributorId":101999,"corporation":false,"usgs":false,"family":"Franklin","given":"Alan","email":"","middleInitial":"B.","affiliations":[{"id":12434,"text":"USDA, Wildlife Services, National Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":478151,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70036961,"text":"70036961 - 2011 - Nitrous oxide emission from denitrification in stream and river networks","interactions":[],"lastModifiedDate":"2020-12-18T15:34:05.169289","indexId":"70036961","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Nitrous oxide emission from denitrification in stream and river networks","docAbstract":"Nitrous oxide (N2O) is a potent greenhouse gas that contributes to climate change and stratospheric ozone destruction. Anthropogenic nitrogen (N) loading to river networks is a potentially important source of N2O via microbial denitrification that converts N to N2O and dinitrogen (N2). The fraction of denitrified N that escapes as N2O rather than N2 (i.e., the N2O yield) is an important determinant of how much N2O is produced by river networks, but little is known about the N2O yield in flowing waters. Here, we present the results of whole-stream 15N-tracer additions conducted in 72 headwater streams draining multiple land-use types across the United States. We found that stream denitrification produces N2O at rates that increase with stream water nitrate (NO3−) concentrations, but that <1% of denitrified N is converted to N2O. Unlike some previous studies, we found no relationship between the N2O yield and stream water NO3−. We suggest that increased stream NO3− loading stimulates denitrification and concomitant N2O production, but does not increase the N2O yield. In our study, most streams were sources of N2O to the atmosphere and the highest emission rates were observed in streams draining urban basins. Using a global river network model, we estimate that microbial N transformations (e.g., denitrification and nitrification) convert at least 0.68 Tg·y−1 of anthropogenic N inputs to N2O in river networks, equivalent to 10% of the global anthropogenic N2O emission rate. This estimate of stream and river N2O emissions is three times greater than estimated by the Intergovernmental Panel on Climate Change.
Humans have more than doubled the availability of fixed nitrogen (N) in the biosphere, particularly through the production of N fertilizers and the cultivation of N-fixing crops (1). Increasing N availability is producing unintended environmental consequences including enhanced emissions of nitrous oxide (N2O), a potent greenhouse gas (2) and an important cause of stratospheric ozone destruction (3). The Intergovernmental Panel on Climate Change (IPCC) estimates that the microbial conversion of agriculturally derived N to N2O in soils and aquatic ecosystems is the largest source of anthropogenic N2O to the atmosphere (2). The production of N2O in agricultural soils has been the focus of intense investigation (i.e., >1,000 published studies) and is a relatively well constrained component of the N2O budget (4). However, emissions of anthropogenic N2O from streams, rivers, and estuaries have received much less attention and remain a major source of uncertainty in the global anthropogenic N2O budget.
Microbial denitrification is a large source of N2O emissions in terrestrial and aquatic ecosystems. Most microbial denitrification is a form of anaerobic respiration in which nitrate (NO3−, the dominant form of inorganic N) is converted to dinitrogen (N2) and N2O gases (5). The proportion of denitrified NO3− that is converted to N2O rather than N2 (hereafter referred to as the N2O yield and expressed as the mole ratio) partially controls how much N2O is produced via denitrification (6), but few studies provide information on the N2O yield in streams and rivers because of the difficulty of measuring N2 and N2O production in these systems. Here we report rates of N2 and N2O production via denitrification measured using whole-stream 15NO3−-tracer experiments in 72 headwater streams draining different land-use types across the United States. This project, known as the second Lotic Intersite Nitrogen eXperiment (LINX II), provides unique whole-system measurements of the N2O yield in streams.
Although N2O emission rates have been reported for streams and rivers (7, 8), the N2O yield has been studied mostly in lentic freshwater and marine ecosystems, where it generally ranges between 0.1 and 1.0%, although yields as high as 6% have been observed (9). These N2O yields are low compared with observations in soils (0–100%) (10), which may be a result of the relatively lower oxygen (O2) availability in the sediments of lakes and estuaries. However, dissolved O2 in headwater streams is commonly near atmospheric equilibrium and benthic algal biofilms can produce O2 at the sediment–water interface, resulting in strong redox gradients more akin to those in partially wetted soils. Thus, streams may have variable and often high N2O yields, similar to those in soils (11). The N2O yield in headwater streams is of particular interest because much of the NO3− input to rivers is derived from groundwater upwelling into headwater streams. Furthermore, headwater streams compose the majority of stream length within a drainage network and have high ratios of bioreactive benthic surface area to water volume (12).
We examined hepatic EROD activity, as an indicator of CYP1A induction, in Barrow’s goldeneyes captured in areas oiled during the 1989 Exxon Valdez spill and those from nearby unoiled areas. We found that average EROD activity differed between areas during 2005, although the magnitude of the difference was reduced relative to a previous study from 1996/1997, and we found that areas did not differ by 2009. Similarly, we found that the proportion of individuals captured from oiled areas with elevated EROD activity (⩾2 times unoiled average) declined from 41% in winter 1996/1997 to 10% in 2005 and 15% in 2009. This work adds to a body of literature describing the timelines over which vertebrates were exposed to residual Exxon Valdez oil and indicates that, for Barrow’s goldeneyes in Prince William Sound, exposure persisted for many years with evidence of substantially reduced exposure by 2 decades after the spill.
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We employed multiple, noninvasive survey methods—scat detection dogs, remote cameras, and hair snares—to collect detection–nondetection data for elusive American black bears (Ursus americanus), fishers (Martes pennanti), and bobcats (Lynx rufus) throughout the rugged Vermont landscape. We analyzed these data using occupancy modeling that explicitly incorporated detectability as well as habitat and landscape variables. For black bears, percentage of forested land within 5 km of survey sites was an important positive predictor of occupancy, and percentage of human developed land within 5 km was a negative predictor. Although the relationship was less clear for bobcats, occupancy appeared positively related to the percentage of both mixed forest and forested wetland habitat within 1 km of survey sites. The relationship between specific covariates and fisher occupancy was unclear, with no specific habitat or landscape variables directly related to occupancy. For all species, we used model averaging to predict occurrence across the study area. Receiver operating characteristic (ROC) analyses of our black bear and fisher models suggested that occupancy modeling efforts with data from noninvasive surveys could be useful for carnivore conservation and management, as they provide insights into habitat use at the regional and landscape scale without requiring capture or direct observation of study species.
","language":"English","publisher":"Springer","doi":"10.1007/s10980-010-9547-1","issn":"09212973","usgsCitation":"Long, R.A., Donovan, T., MacKay, P., Zielinski, W.J., and Buzas, J.S., 2011, Predicting carnivore occurrence with noninvasive surveys and occupancy modeling: Landscape Ecology, v. 26, no. 3, p. 327-340, https://doi.org/10.1007/s10980-010-9547-1.","productDescription":"14 p.","startPage":"327","endPage":"340","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-013148","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":245049,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217130,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10980-010-9547-1"}],"country":"United States","state":"Vermont","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.2733154296875,\n 42.744995166137286\n ],\n [\n -72.45483398437499,\n 42.7288567472319\n ],\n [\n -72.55645751953124,\n 42.850799307092515\n ],\n [\n -72.50701904296875,\n 42.96446257387128\n ],\n [\n -72.45346069335938,\n 42.98355351219673\n ],\n [\n -72.44247436523438,\n 43.00966835007137\n ],\n [\n -72.39715576171875,\n 43.31718491566705\n ],\n [\n -72.36968994140624,\n 43.5843700152048\n ],\n [\n -72.191162109375,\n 43.7968715826214\n ],\n [\n -72.103271484375,\n 43.96909818325171\n ],\n [\n -72.02362060546875,\n 44.09547572946637\n ],\n [\n -72.059326171875,\n 44.20386610936141\n ],\n [\n -72.03460693359375,\n 44.32384807250689\n ],\n [\n -71.80938720703125,\n 44.36116948697883\n ],\n [\n -71.795654296875,\n 44.398467142258504\n ],\n [\n -71.6693115234375,\n 44.43966322343608\n ],\n [\n -71.56768798828125,\n 44.53175879707938\n ],\n [\n -71.54571533203125,\n 44.59437896722391\n ],\n [\n -71.6253662109375,\n 44.750634493861064\n ],\n [\n -71.50177001953125,\n 44.91035917458495\n ],\n [\n -71.52374267578125,\n 45.01336034905033\n ],\n [\n -72.56195068359375,\n 45.009476869672895\n ],\n [\n -72.6470947265625,\n 45.021126517829614\n ],\n [\n -73.3447265625,\n 45.01336034905033\n ],\n [\n -73.38043212890625,\n 44.84418558537004\n ],\n [\n -73.33648681640624,\n 44.79158175909386\n ],\n [\n -73.388671875,\n 44.610023477890515\n ],\n [\n -73.2952880859375,\n 44.41220239438348\n ],\n [\n -73.333740234375,\n 44.378839759088585\n ],\n [\n -73.32000732421875,\n 44.26093725039923\n ],\n [\n -73.39691162109375,\n 44.18614312298759\n ],\n [\n -73.4381103515625,\n 44.050089820756796\n ],\n [\n -73.37493896484374,\n 43.846412964702395\n ],\n [\n -73.38592529296875,\n 43.82858280301419\n ],\n [\n -73.355712890625,\n 43.77902662160831\n ],\n [\n -73.4271240234375,\n 43.59232754538541\n ],\n [\n -73.38592529296875,\n 43.56845179881218\n ],\n [\n -73.3612060546875,\n 43.628123412124616\n ],\n [\n -73.30078125,\n 43.620170616189895\n ],\n [\n -73.24310302734375,\n 43.54058479482877\n ],\n [\n -73.2733154296875,\n 42.744995166137286\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-10-23","publicationStatus":"PW","scienceBaseUri":"505a81aee4b0c8380cd7b685","contributors":{"authors":[{"text":"Long, Robert A.","contributorId":11732,"corporation":false,"usgs":false,"family":"Long","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":459024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donovan, Therese M. tdonovan@usgs.gov","contributorId":2653,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese M.","email":"tdonovan@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":459028,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacKay, Paula","contributorId":37042,"corporation":false,"usgs":false,"family":"MacKay","given":"Paula","email":"","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":459026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zielinski, William J.","contributorId":35440,"corporation":false,"usgs":false,"family":"Zielinski","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":459025,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buzas, Jeffrey S.","contributorId":86080,"corporation":false,"usgs":false,"family":"Buzas","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":459027,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70036992,"text":"70036992 - 2011 - Late Early Permian continental ichnofauna from Lake Kemp, north-central Texas, USA","interactions":[],"lastModifiedDate":"2020-12-16T20:29:58.164288","indexId":"70036992","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Late Early Permian continental ichnofauna from Lake Kemp, north-central Texas, USA","docAbstract":"Continental trace fossils of Early Permian age are well known in the western United States from Wolfcampian (~ Asselian to Artinskian) strata, but few examples are known from Leonardian (~ Kungurian) deposits. A substantial ichnofauna from strata of the lower part of the Clear Fork Formation at Lake Kemp, Baylor County, Texas, augments the meager North American record of Leonardian continental trace fossil assemblages. Ichnofossils at Lake Kemp occur in the informally-named Craddock dolomite member of the Clear Fork Formation, which is 12–15 m above the local base of the Clear Fork. The trace-bearing stratum is an up-to-0.3 m thick, laminated to flaser-bedded, dolomitic siltstone that also contains mud cracks, raindrop impressions, microbially induced mat structures, and some land-plant impressions. We interpret the Craddock dolomite member as the feather-edge of a marine transgressive carbonate deposit of an irregular coastline marked by shallow bays or estuaries on the eastern shelf of the Midland basin, and the trace-fossil-bearing stratum at Lake Kemp is an unchannelized flow deposit on a muddy coastal plain. The fossil site at Lake Kemp yields a low to moderately diverse fauna of invertebrate and vertebrate traces. A sparse invertebrate ichnofauna consists of arthropod feeding and locomotion traces assigned to Walpia cf. W. hermitensis White, 1929 and Diplichnites gouldi Gevers in Gevers et al., 1971. Tetrapod footprints are most common and assigned to Batrachichnus salamandroides (Geinitz, 1861), cf. Amphisauropus kablikae (Geinitz and Deichmüller, 1882), and Dromopus lacertoides (Geinitz, 1861), which represent small temnospondyl, seymouriamorph, and basal sauropsid trackmakers. Both the traces and sedimentary features of the fossil horizon indicate a freshwater setting at the time of track formation, and the trace assemblage represents the Scoyenia ichnofacies and the Batrachichnus ichnofacies in an overbank environment with sheet flooding and shallow ephemeral pools on an extensive coastal plain. The Lake Kemp tetrapod track assemblage is characteristic of the global Early Permian tetrapod ichnofauna found in red beds, which is dominated by a handful of ichnogenera that include Batrachichnus, Limnopus, Amphisauropus, Dromopus, Varanopus, Hyloidichnus, Ichniotherium and Dimetropus, which are the tracks of temnospondyls, seymouriamorphs, diadectomorphs, “pelycosaurs”, “captorhinomorphs”, and araeoscelids. The Lake Kemp tracks also further document the continuity of the ichnogenera Batrachichnus, Amphisauropus and Dromopus from Wolfcampian into Leonardian time and thus support the concept that Wolfcampian and Leonardian red-bed tetrapod footprints represent a single biostratigraphic assemblage.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2011.05.047","issn":"00310182","usgsCitation":"Lucas, S.G., Voigt, S., Lerner, A., and Nelson, W., 2011, Late Early Permian continental ichnofauna from Lake Kemp, north-central Texas, USA: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 308, no. 3-4, p. 395-404, https://doi.org/10.1016/j.palaeo.2011.05.047.","productDescription":"10 p.","startPage":"395","endPage":"404","costCenters":[],"links":[{"id":245445,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217494,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.palaeo.2011.05.047"}],"country":"United States","state":"Texas","otherGeospatial":"Lake Kemp","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.35348510742188,\n 33.65235145518946\n ],\n [\n -99.1241455078125,\n 33.65235145518946\n ],\n [\n -99.1241455078125,\n 33.864714141777746\n ],\n [\n -99.35348510742188,\n 33.864714141777746\n ],\n [\n -99.35348510742188,\n 33.65235145518946\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"308","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a44dfe4b0c8380cd66e6f","contributors":{"authors":[{"text":"Lucas, S. G.","contributorId":76934,"corporation":false,"usgs":true,"family":"Lucas","given":"S.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":458889,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voigt, S.","contributorId":28104,"corporation":false,"usgs":true,"family":"Voigt","given":"S.","email":"","affiliations":[],"preferred":false,"id":458887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lerner, A.J.","contributorId":36783,"corporation":false,"usgs":true,"family":"Lerner","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":458888,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, W.J.","contributorId":17762,"corporation":false,"usgs":true,"family":"Nelson","given":"W.J.","email":"","affiliations":[],"preferred":false,"id":458886,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70036697,"text":"70036697 - 2011 - Magmatic-vapor expansion and the formation of high-sulfidation gold deposits: Structural controls on hydrothermal alteration and ore mineralization","interactions":[],"lastModifiedDate":"2017-11-20T13:26:04","indexId":"70036697","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","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":"Magmatic-vapor expansion and the formation of high-sulfidation gold deposits: Structural controls on hydrothermal alteration and ore mineralization","docAbstract":"High-sulfidation copper–gold lode deposits such as Chinkuashih, Taiwan, Lepanto, Philippines, and Goldfield, Nevada, formed within 1500 m of the paleosurface in volcanic terranes. All underwent an early stage of extensive advanced argillic silica–alunite alteration followed by an abrupt change to spatially much more restricted stages of fracture-controlled sulfide–sulfosalt mineral assemblages and gold–silver mineralization. The alteration as well as ore mineralization stages of these deposits were controlled by the dynamics and history of syn-hydrothermal faulting.
At the Sulfate Stage, aggressive advanced argillic alteration and silicification were consequent on the in situ formation of acidic condensate from magmatic vapor as it expanded through secondary fracture networks alongside active faults. The reduction of permeability at this stage due to alteration decreased fluid flow to the surface, and progressively developed a barrier between magmatic-vapor expansion constrained by the active faults and peripheral hydrothermal activity dominated by hot-water flow. In conjunction with the increased rock strength resulting from alteration, subsequent fault-slip inversion in response to an increase in compressional stress generated new, highly permeable fractures localized by the embrittled, altered rock. The new fractures focused magmatic-vapor expansion with much lower heat loss so that condensation occurred. Sulfide Stage sulfosalt, sulfide, and gold–silver deposition then resulted from destabilization of vapor phase metal species due to vapor decompression through the new fracture array. The switch from sulfate to sulfide assemblages is, therefore, a logical consequence of changes in structural permeability due to the coupling of alteration and fracture dynamics rather than to changes in the chemistry of the fluid phase at its magmatic source.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2010.11.004","issn":"01691368","usgsCitation":"Berger, B.R., and Henley, R.W., 2011, Magmatic-vapor expansion and the formation of high-sulfidation gold deposits: Structural controls on hydrothermal alteration and ore mineralization: Ore Geology Reviews, v. 39, no. 1-2, p. 75-90, https://doi.org/10.1016/j.oregeorev.2010.11.004.","productDescription":"16 p.","startPage":"75","endPage":"90","numberOfPages":"16","ipdsId":"IP-018409","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":475301,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.oregeorev.2010.11.004","text":"Publisher Index Page"},{"id":245428,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217477,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.oregeorev.2010.11.004"}],"volume":"39","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4b52e4b0c8380cd69466","contributors":{"authors":[{"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":457416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henley, Richard W.","contributorId":107193,"corporation":false,"usgs":true,"family":"Henley","given":"Richard","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":457415,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70036696,"text":"70036696 - 2011 - Pigeonholing pyroclasts: Insights from the 19 March 2008 explosive eruption of Kīlauea volcano","interactions":[],"lastModifiedDate":"2020-12-23T19:02:35.694262","indexId":"70036696","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Pigeonholing pyroclasts: Insights from the 19 March 2008 explosive eruption of Kīlauea volcano","docAbstract":"We think, conventionally, of volcanic explosive eruptions as being triggered in one of two ways: by release and expansion of volatiles dissolved in the ejected magma (magmatic explosions) or by transfer of heat from magma into an external source of water (phreatic or phreatomagmatic explosions). We document here an event where neither magma nor an external water source was involved in explosive activity at Kīlauea. Instead, the eruption was powered by the expansion of decoupled magmatic volatiles released from deeper magma, which was not ejected by the eruption, and the trigger was a collapse of near-surface wall rocks that then momentarily blocked that volatile flux. Mapping of the advected fall deposit a day after this eruption has highlighted the difficulty of constraining deposit edges from unobserved or prehistoric eruptions of all magnitudes. Our results suggest that the dispersal area of advected fall deposits could be miscalculated by up to 30% of the total, raising issues for accurate hazard zoning and assessment. Eruptions of this type challenge existing classification schemes for pyroclastic deposits and explosive eruptions and, in the past, have probably been interpreted as phreatic explosions, where the eruptive mechanism has been assumed to involve flashing of groundwater to steam.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/G31509.1","issn":"00917613","usgsCitation":"Houghton, B.F., Swanson, D., Carey, R., Rausch, J., and Sutton, A., 2011, Pigeonholing pyroclasts: Insights from the 19 March 2008 explosive eruption of Kīlauea volcano: Geology, v. 39, no. 3, p. 263-266, https://doi.org/10.1130/G31509.1.","productDescription":"4 p.","startPage":"263","endPage":"266","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":245400,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217450,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G31509.1"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.3020477294922,\n 19.395039417313967\n ],\n [\n -155.3020477294922,\n 19.433733654546185\n ],\n [\n -155.23475646972656,\n 19.433733654546185\n ],\n [\n -155.23475646972656,\n 19.395039417313967\n ],\n [\n -155.3020477294922,\n 19.395039417313967\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7b52e4b0c8380cd7939a","contributors":{"authors":[{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false},{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":457413,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swanson, Don 0000-0002-1680-3591 donswan@usgs.gov","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":168817,"corporation":false,"usgs":true,"family":"Swanson","given":"Don","email":"donswan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":457412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carey, R.J.","contributorId":89749,"corporation":false,"usgs":true,"family":"Carey","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":457414,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rausch, J.","contributorId":7944,"corporation":false,"usgs":true,"family":"Rausch","given":"J.","email":"","affiliations":[],"preferred":false,"id":457410,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sutton, Andrew ajsutton@usgs.gov","contributorId":156244,"corporation":false,"usgs":true,"family":"Sutton","given":"Andrew","email":"ajsutton@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":457411,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70036869,"text":"70036869 - 2011 - Development and application of a pollen-based paleohydrologic reconstruction from the lower Roanoke River Basin, North Carolina, USA","interactions":[],"lastModifiedDate":"2013-04-24T22:06:16","indexId":"70036869","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3562,"text":"The Holocene","active":true,"publicationSubtype":{"id":10}},"title":"Development and application of a pollen-based paleohydrologic reconstruction from the lower Roanoke River Basin, North Carolina, USA","docAbstract":"We used pollen assemblages to reconstruct late-Holocene paleohydrologic patterns in floodplain deposits from the lower Roanoke River basin (North Carolina, southeastern USA). Using 120 surface samples from 38 transects, we documented statistical relationships between pollen assemblages, vegetation, and landforms. Backswamp pollen assemblages (long hydroperiods) are dominated by Nyssa (tupelo) and Taxodium (cypress) and have high pollen concentrations. Sediments from elevated levees and seasonally flooded forests (shorter hydroperiods) are characterized by dominant Pinus (pine) pollen, variable abundance of hardwood taxa, and low pollen concentrations. We apply the calibration data set to interpret past vegetation and paleohydrology. Pollen from a radiocarbon-dated sediment core collected in a tupelo-cypress backswamp indicates centennial-scale fluctuations in forest composition during the last 2400 years. Backswamp vegetation has occupied the site since land clearance began ~300 years ago. Recent dam emplacement affected sedimentation rates, but vegetation changes are small compared with those caused by pre-Colonial climate variability. The occurrence of wetter conditions from ~2200 to 1800 cal. yr BP, ~1100 to 750 cal. yr BP, and ~400 to 250 cal. yr BP may indicate changes in cyclonic circulation patterns related to shifts in the position of the Bermuda High and jet stream.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Holocene","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Sage Journals","doi":"10.1177/0959683610378876","issn":"09596836","usgsCitation":"Willard, D., Bernhardt, C., Brown, R., Landacre, B., and Townsend, P., 2011, Development and application of a pollen-based paleohydrologic reconstruction from the lower Roanoke River Basin, North Carolina, USA: The Holocene, v. 21, no. 2, p. 305-317, https://doi.org/10.1177/0959683610378876.","productDescription":"13 p.","startPage":"305","endPage":"317","costCenters":[],"links":[{"id":217829,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1177/0959683610378876"},{"id":245801,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-10-08","publicationStatus":"PW","scienceBaseUri":"505a0019e4b0c8380cd4f5b6","contributors":{"authors":[{"text":"Willard, D. 0000-0003-4878-0942","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":67676,"corporation":false,"usgs":true,"family":"Willard","given":"D.","affiliations":[],"preferred":false,"id":458205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernhardt, C. 0000-0003-0082-4731","orcid":"https://orcid.org/0000-0003-0082-4731","contributorId":104307,"corporation":false,"usgs":true,"family":"Bernhardt","given":"C.","affiliations":[],"preferred":false,"id":458208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, R.","contributorId":101419,"corporation":false,"usgs":true,"family":"Brown","given":"R.","affiliations":[],"preferred":false,"id":458207,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Landacre, B.","contributorId":11037,"corporation":false,"usgs":true,"family":"Landacre","given":"B.","affiliations":[],"preferred":false,"id":458204,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Townsend, P.","contributorId":83366,"corporation":false,"usgs":true,"family":"Townsend","given":"P.","email":"","affiliations":[],"preferred":false,"id":458206,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70036871,"text":"70036871 - 2011 - The characteristics of gas hydrates recovered from the Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope","interactions":[],"lastModifiedDate":"2020-12-18T17:01:48.091597","indexId":"70036871","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"The characteristics of gas hydrates recovered from the Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope","docAbstract":"Systematic analyses have been carried out on two gas hydrate-bearing sediment core samples, HYPV4, which was preserved by CH4 gas pressurization, and HYLN7, which was preserved in liquid-nitrogen, recovered from the BPXA-DOE-USGS Mount Elbert Stratigraphic Test Well. Gas hydrate in the studied core samples was found by observation to have developed in sediment pores, and the distribution of hydrate saturation in the cores imply that gas hydrate had experienced stepwise dissociation before it was stabilized by either liquid nitrogen or pressurizing gas. The gas hydrates were determined to be structure Type I hydrate with hydration numbers of approximately 6.1 by instrumentation methods such as powder X-ray diffraction, Raman spectroscopy and solid state 13C NMR. The hydrate gas composition was predominantly methane, and isotopic analysis showed that the methane was of thermogenic origin (mean δ13C = −48.6‰ and δD = −248‰ for sample HYLN7). Isotopic analysis of methane from sample HYPV4 revealed secondary hydrate formation from the pressurizing methane gas during storage.
","largerWorkTitle":"Marine and Petroleum Geology","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2010.01.002","issn":"02648172","usgsCitation":"Lu, H., Lorenson, T., Moudrakovski, I., Ripmeester, J., Collett, T.S., Hunter, R., and Ratcliffe, C., 2011, The characteristics of gas hydrates recovered from the Mount Elbert Gas Hydrate Stratigraphic Test Well, Alaska North Slope: Marine and Petroleum Geology, v. 28, no. 2, p. 411-418, https://doi.org/10.1016/j.marpetgeo.2010.01.002.","productDescription":"8 p.","startPage":"411","endPage":"418","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488971,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marpetgeo.2010.01.002","text":"Publisher Index Page"},{"id":245832,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217860,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marpetgeo.2010.01.002"}],"country":"United States","state":"Alaska","otherGeospatial":"Alaska North Slope","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -163.65234374999997,\n 70.61261423801925\n ],\n [\n -157.5,\n 68.46379955520322\n ],\n [\n -145.8984375,\n 68.39918004344189\n ],\n [\n -140.9765625,\n 69.71810669906763\n ],\n [\n -142.3828125,\n 72.23551372557404\n ],\n [\n -156.4453125,\n 72.76406472320436\n ],\n [\n -163.30078125,\n 72.1279362810559\n ],\n [\n -163.65234374999997,\n 70.61261423801925\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505baa1ee4b08c986b322723","contributors":{"authors":[{"text":"Lu, H.","contributorId":49936,"corporation":false,"usgs":true,"family":"Lu","given":"H.","email":"","affiliations":[],"preferred":false,"id":458214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorenson, Thomas 0000-0001-7669-2873 tlorenson@usgs.gov","orcid":"https://orcid.org/0000-0001-7669-2873","contributorId":174599,"corporation":false,"usgs":true,"family":"Lorenson","given":"Thomas","email":"tlorenson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":458211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moudrakovski, I.L.","contributorId":99406,"corporation":false,"usgs":true,"family":"Moudrakovski","given":"I.L.","email":"","affiliations":[],"preferred":false,"id":458217,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ripmeester, J.A.","contributorId":85017,"corporation":false,"usgs":true,"family":"Ripmeester","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":458215,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":458216,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hunter, R.B.","contributorId":29538,"corporation":false,"usgs":true,"family":"Hunter","given":"R.B.","email":"","affiliations":[],"preferred":false,"id":458212,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ratcliffe, C.I.","contributorId":33559,"corporation":false,"usgs":true,"family":"Ratcliffe","given":"C.I.","email":"","affiliations":[],"preferred":false,"id":458213,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70036726,"text":"70036726 - 2011 - USGS 1-min Dst index","interactions":[],"lastModifiedDate":"2020-12-23T18:02:00.467371","indexId":"70036726","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2187,"text":"Journal of Atmospheric and Solar-Terrestrial Physics","active":true,"publicationSubtype":{"id":10}},"title":"USGS 1-min Dst index","docAbstract":"We produce a 1-min time resolution storm-time disturbance index, the USGS Dst, called Dst8507-4SM. This index is based on minute resolution horizontal magnetic field intensity from low-latitude observatories in Honolulu, Kakioka, San Juan and Hermanus, for the years 1985–2007. The method used to produce the index uses a combination of time- and frequency-domain techniques, which more clearly identifies and excises solar-quiet variation from the horizontal intensity time series of an individual station than the strictly time-domain method used in the Kyoto Dst index. The USGS 1-min Dst is compared against the Kyoto Dst, Kyoto Sym-H, and the USGS 1-h Dst (Dst5807-4SH). In a time series comparison, Sym-H is found to produce more extreme values during both sudden impulses and main phase maximum deviation, possibly due to the latitude of its contributing observatories. Both Kyoto indices are shown to have a peak in their distributions below zero, while the USGS indices have a peak near zero. The USGS 1-min Dst is shown to have the higher time resolution benefits of Sym-H, while using the more typical low-latitude observatories of Kyoto Dst.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jastp.2010.02.013","issn":"13646826","usgsCitation":"Gannon, J., and Love, J.J., 2011, USGS 1-min Dst index: Journal of Atmospheric and Solar-Terrestrial Physics, v. 73, no. 2-3, p. 323-334, https://doi.org/10.1016/j.jastp.2010.02.013.","productDescription":"12 p.","startPage":"323","endPage":"334","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":245402,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217452,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jastp.2010.02.013"}],"volume":"73","issue":"2-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbb85e4b08c986b328697","contributors":{"authors":[{"text":"Gannon, J.L.","contributorId":78275,"corporation":false,"usgs":true,"family":"Gannon","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":457535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":457534,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046772,"text":"70046772 - 2011 - A Digital Hydrologic Network Supporting NAWQA MRB SPARROW Modeling--MRB_E2RF1WS","interactions":[],"lastModifiedDate":"2013-07-02T15:40:17","indexId":"70046772","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"A Digital Hydrologic Network Supporting NAWQA MRB SPARROW Modeling--MRB_E2RF1WS","docAbstract":"A digital hydrologic network was developed to support SPAtially Referenced Regression on Watershed attributes (SPARROW) models within selected regions of the United States. These regions correspond with the U.S. Geological Survey's National Water Quality Assessment (NAWQA) Program Major River Basin (MRB) study units 2, 3, 4, 5, and 7 (Preston and others, 2009). MRB2, covers the South Atlantic-Gulf and Tennessee River basins. MRB3, covers the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins. MRB4, covers the Missouri River basins. MRB5, covers the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins. MRB7, covers the Pacific Northwest River basins. The digital hydrologic network described here represents surface-water pathways (MRB_E2RF1) and associated catchments (MRB_E2RF1WS). It serves as the fundamental framework to spatially reference and summarize explanatory information supporting nutrient SPARROW models (Brakebill and others, 2011; Wieczorek and LaMotte, 2011). The principal geospatial dataset used to support this regional effort was based on an enhanced version of a 1:500,000 scale digital stream-reach network (ERF1_2) (Nolan et al., 2002). Enhancements included associating over 3,500 water-quality monitoring sites to the reach network, improving physical locations of stream reaches at or near monitoring locations, and generating drainage catchments based on 100m elevation data. A unique number (MRB_ID) identifies each reach as a single unit. This unique number is also shared by the catchment area drained by the reach, thus spatially linking the hydrologically connected streams and the respective drainage area characteristics. In addition, other relevant physical, environmental, and monitoring information can be associated to the common network and accessed using the unique identification number.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Baltimore, MA","doi":"10.3133/70046772","usgsCitation":"Brakebill, J., and Terziotti, S., 2011, A Digital Hydrologic Network Supporting NAWQA MRB SPARROW Modeling--MRB_E2RF1WS (Version 1.0), Dataset, https://doi.org/10.3133/70046772.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274444,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274443,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mrb_e2rf1ws.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -128.290499,23.033207 ], [ -128.290499,52.450082 ], [ -64.959844,52.450082 ], [ -64.959844,23.033207 ], [ -128.290499,23.033207 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d3f662e4b09630fbdc526e","contributors":{"authors":[{"text":"Brakebill, J. W.","contributorId":48206,"corporation":false,"usgs":true,"family":"Brakebill","given":"J. W.","affiliations":[],"preferred":false,"id":480204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terziotti, S.E.","contributorId":6287,"corporation":false,"usgs":true,"family":"Terziotti","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":480203,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70036788,"text":"70036788 - 2011 - Mapping permeability over the surface of the Earth","interactions":[],"lastModifiedDate":"2020-12-21T18:02:39.348835","indexId":"70036788","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Mapping permeability over the surface of the Earth","docAbstract":"Permeability, the ease of fluid flow through porous rocks and soils, is a fundamental but often poorly quantified component in the analysis of regional‐scale water fluxes. Permeability is difficult to quantify because it varies over more than 13 orders of magnitude and is heterogeneous and dependent on flow direction. Indeed, at the regional scale, maps of permeability only exist for soil to depths of 1–2 m. Here we use an extensive compilation of results from hydrogeologic models to show that regional‐scale (>5 km) permeability of consolidated and unconsolidated geologic units below soil horizons (hydrolithologies) can be characterized in a statistically meaningful way. The representative permeabilities of these hydrolithologies are used to map the distribution of near‐surface (on the order of 100 m depth) permeability globally and over North America. The distribution of each hydrolithology is generally scale independent. The near‐surface mean permeability is of the order of ∼5 × 10−14 m2. The results provide the first global picture of near‐surface permeability and will be of particular value for evaluating global water resources and modeling the influence of climate‐surface‐subsurface interactions on global climate change.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010GL045565","issn":"00948276","usgsCitation":"Gleeson, T., Smith, L., Moosdorf, N., Hartmann, J., Durr, H., Manning, A.H., Van Beek, L.P., and Jellinek, A.M., 2011, Mapping permeability over the surface of the Earth: Geophysical Research Letters, v. 38, no. 2, L02401, 6 p., https://doi.org/10.1029/2010GL045565.","productDescription":"L02401, 6 p.","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":475618,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010gl045565","text":"Publisher Index Page"},{"id":245433,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217482,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010GL045565"}],"volume":"38","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-01-21","publicationStatus":"PW","scienceBaseUri":"505a506ee4b0c8380cd6b6b8","contributors":{"authors":[{"text":"Gleeson, T.","contributorId":40014,"corporation":false,"usgs":true,"family":"Gleeson","given":"T.","email":"","affiliations":[],"preferred":false,"id":457856,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, L.","contributorId":23477,"corporation":false,"usgs":true,"family":"Smith","given":"L.","affiliations":[],"preferred":false,"id":457854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moosdorf, N.","contributorId":102304,"corporation":false,"usgs":true,"family":"Moosdorf","given":"N.","affiliations":[],"preferred":false,"id":457860,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hartmann, J.","contributorId":90573,"corporation":false,"usgs":true,"family":"Hartmann","given":"J.","email":"","affiliations":[],"preferred":false,"id":457859,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Durr, H.H.","contributorId":42464,"corporation":false,"usgs":true,"family":"Durr","given":"H.H.","email":"","affiliations":[],"preferred":false,"id":457857,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":457855,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van Beek, L. P. H.","contributorId":21385,"corporation":false,"usgs":true,"family":"Van Beek","given":"L.","email":"","middleInitial":"P. H.","affiliations":[],"preferred":false,"id":457853,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jellinek, A. Mark","contributorId":54364,"corporation":false,"usgs":true,"family":"Jellinek","given":"A.","email":"","middleInitial":"Mark","affiliations":[],"preferred":false,"id":457858,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70036727,"text":"70036727 - 2011 - Spread of plague among black-tailed prairie dogs is associated with colony spatial characteristics","interactions":[],"lastModifiedDate":"2020-12-28T12:40:59.621458","indexId":"70036727","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Spread of plague among black-tailed prairie dogs is associated with colony spatial characteristics","docAbstract":"Sylvatic plague (Yersinia pestis) is an exotic pathogen that is highly virulent in black‐tailed prairie dogs (Cynomys ludovicianus) and causes widespread colony losses and individual mortality rates >95%. We investigated colony spatial characteristics that may influence inter‐colony transmission of plague at 3 prairie dog colony complexes in the Great Plains. The 4 spatial characteristics we considered include: colony size, Euclidean distance to nearest neighboring colony, colony proximity index, and distance to nearest drainage (dispersal) corridor. We used multi‐state mark–recapture models to determine the relationship between these colony characteristics and probability of plague transmission among prairie dog colonies. Annual mapping of colonies and mark–recapture analyses of disease dynamics in natural colonies led to 4 main results: 1) plague outbreaks exhibited high spatial and temporal variation, 2) the site of initiation of epizootic plague may have substantially influenced the subsequent inter‐colony spread of plague, 3) the long‐term effect of plague on individual colonies differed among sites because of how individuals and colonies were distributed, and 4) colony spatial characteristics were related to the probability of infection at all sites although the relative importance and direction of relationships varied among sites. Our findings suggest that conventional prairie dog conservation management strategies, including promoting large, highly connected colonies, may need to be altered in the presence of plague.
","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.40","issn":"0022541X","usgsCitation":"Johnson, T.L., Cully, J., Collinge, S., Ray, C., Frey, C., and Sandercock, B.K., 2011, Spread of plague among black-tailed prairie dogs is associated with colony spatial characteristics: Journal of Wildlife Management, v. 75, no. 2, p. 357-368, https://doi.org/10.1002/jwmg.40.","productDescription":"12 p.","startPage":"357","endPage":"368","costCenters":[],"links":[{"id":245429,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217478,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.40"}],"country":"United States","state":"Colorado, Oklahoma, Texas, Kansas, New Mexico","otherGeospatial":"Cimarron National Grassland, Carizo Unit of the Comanche National Grassland, Kiowa‐Rita Blanca National Grasslands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.84277343749999,\n 35.85343961959182\n ],\n [\n -100.0634765625,\n 35.85343961959182\n ],\n [\n -100.0634765625,\n 37.64903402157866\n ],\n [\n -103.84277343749999,\n 37.64903402157866\n ],\n [\n -103.84277343749999,\n 35.85343961959182\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"75","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-03-29","publicationStatus":"PW","scienceBaseUri":"505b960de4b08c986b31b27f","contributors":{"authors":[{"text":"Johnson, T. L.","contributorId":91062,"corporation":false,"usgs":true,"family":"Johnson","given":"T.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":457541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cully, J.F. Jr.","contributorId":51041,"corporation":false,"usgs":true,"family":"Cully","given":"J.F.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":457538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collinge, S.K.","contributorId":58832,"corporation":false,"usgs":true,"family":"Collinge","given":"S.K.","email":"","affiliations":[],"preferred":false,"id":457539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ray, C.","contributorId":40758,"corporation":false,"usgs":true,"family":"Ray","given":"C.","email":"","affiliations":[],"preferred":false,"id":457537,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frey, C.M.","contributorId":22995,"corporation":false,"usgs":true,"family":"Frey","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":457536,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sandercock, B. K.","contributorId":61382,"corporation":false,"usgs":false,"family":"Sandercock","given":"B.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":457540,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70036787,"text":"70036787 - 2011 - An occurrence of the protocetid whale \"Eocetus\" wardii in the middle Eocene Piney Point Formation of Virginia","interactions":[],"lastModifiedDate":"2020-03-27T06:33:01","indexId":"70036787","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2412,"text":"Journal of Paleontology","active":true,"publicationSubtype":{"id":10}},"title":"An occurrence of the protocetid whale \"Eocetus\" wardii in the middle Eocene Piney Point Formation of Virginia","docAbstract":"Two protocetid whale vertebrae, here referred to “Eocetus” wardii, have been recovered from the riverbed of the Pamunkey River in east-central Virginia. Neither bone was found in situ, but both were found with lumps of lithified matrix cemented to their surfaces. Most of this matrix was removed and processed for microfossils. Specimens of dinoflagellates were successfully recovered and this flora clearly demonstrates that both vertebrae came from the middle Eocene Piney Point Formation, which crops out above and below river level in the area where the bones were discovered. These vertebrae are the oldest whale remains reported from Virginia and are as old as any cetacean remains known from the western hemisphere.","language":"English","publisher":"The Paleontological Society","doi":"10.1666/10-083.1","issn":"00223360","usgsCitation":"Weems, R.E., Edwards, L.E., Osborne, J.E., and Alford, A., 2011, An occurrence of the protocetid whale \"Eocetus\" wardii in the middle Eocene Piney Point Formation of Virginia: Journal of Paleontology, v. 85, no. 2, p. 271-278, https://doi.org/10.1666/10-083.1.","productDescription":"8 p.","startPage":"271","endPage":"278","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":245406,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.68,36.54 ], [ -83.68,39.47 ], [ -75.24,39.47 ], [ -75.24,36.54 ], [ -83.68,36.54 ] ] ] } } ] }","volume":"85","issue":"2","noUsgsAuthors":false,"publicationDate":"2015-07-14","publicationStatus":"PW","scienceBaseUri":"5059ea97e4b0c8380cd4897b","contributors":{"authors":[{"text":"Weems, Robert E. 0000-0002-1907-7804 rweems@usgs.gov","orcid":"https://orcid.org/0000-0002-1907-7804","contributorId":2663,"corporation":false,"usgs":true,"family":"Weems","given":"Robert","email":"rweems@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":785627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, Lucy E. 0000-0003-4075-3317 leedward@usgs.gov","orcid":"https://orcid.org/0000-0003-4075-3317","contributorId":2647,"corporation":false,"usgs":true,"family":"Edwards","given":"Lucy","email":"leedward@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":457852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osborne, Jason E.","contributorId":171937,"corporation":false,"usgs":false,"family":"Osborne","given":"Jason","email":"","middleInitial":"E.","affiliations":[{"id":26968,"text":"Paleo Quest","active":true,"usgs":false}],"preferred":false,"id":457850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alford, A.A.","contributorId":30073,"corporation":false,"usgs":true,"family":"Alford","given":"A.A.","email":"","affiliations":[],"preferred":false,"id":457851,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70036762,"text":"70036762 - 2011 - Antibiotic use during the intracoelomic implantation of electronic tags into fish","interactions":[],"lastModifiedDate":"2020-12-21T20:15:33.162792","indexId":"70036762","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3278,"text":"Reviews in Fish Biology and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"Antibiotic use during the intracoelomic implantation of electronic tags into fish","docAbstract":"The use of antibiotics, in particular, the use of a single dose of antibiotics during electronic tag implantation is of unproven value, and carries with it the potential for the development of antibiotic resistance in bacteria and the alteration of the immune response of the fish. Antibiotic use during electronic tag implantation must conform to relevant drug laws and regulations in the country where work is being done, including the requirements for withdrawal times before human consumption is a possibility. Currently, the choice of antibiotics (most often tetracycline or oxytetracycline) and the use of a single dose of the drug are decisions made without knowledge of the basic need for antibiotic usage and of the bacteria involved in infections that occur following electronic tag implantation. Correct perioperative use of an antibiotic is to apply the drug to the animal before surgery begins, to assure serum and tissue levels of the drug are adequate before the incision is made. However, the most common perioperative application of antibiotics during implantation of an electronic tag is to delay the administration of the drug, injecting it into the coelom after the electronic tag is inserted, just prior to closure of the incision. There is little empirical evidence that the present application of antibiotics in fish being implanted with electronic tags is of value. Improvements should first be made to surgical techniques, especially the use of aseptic techniques and sterilized instruments and electronic tags, before resorting to antibiotics.
","language":"English","publisher":"Springer Link","doi":"10.1007/s11160-010-9190-6","issn":"09603166","usgsCitation":"Mulcahy, D., 2011, Antibiotic use during the intracoelomic implantation of electronic tags into fish: Reviews in Fish Biology and Fisheries, v. 21, no. 1, p. 83-96, https://doi.org/10.1007/s11160-010-9190-6.","productDescription":"14 p.","startPage":"83","endPage":"96","costCenters":[],"links":[{"id":245432,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217481,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11160-010-9190-6"}],"volume":"21","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-12-16","publicationStatus":"PW","scienceBaseUri":"5059ec5de4b0c8380cd49222","contributors":{"authors":[{"text":"Mulcahy, D.M.","contributorId":43302,"corporation":false,"usgs":true,"family":"Mulcahy","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":457702,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70036785,"text":"70036785 - 2011 - Demonstration of a conceptual model for using LiDAR to improve the estimation of floodwater mitigation potential of Prairie Pothole Region wetlands","interactions":[],"lastModifiedDate":"2018-02-21T10:49:44","indexId":"70036785","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Demonstration of a conceptual model for using LiDAR to improve the estimation of floodwater mitigation potential of Prairie Pothole Region wetlands","docAbstract":"Recent flood events in the Prairie Pothole Region of North America have stimulated interest in modeling water storage capacities of wetlands and their surrounding catchments to facilitate flood mitigation efforts. Accurate estimates of basin storage capacities have been hampered by a lack of high-resolution elevation data. In this paper, we developed a 0.5 m bare-earth model from Light Detection And Ranging (LiDAR) data and, in combination with National Wetlands Inventory data, delineated wetland catchments and their spilling points within a 196 km2 study area. We then calculated the maximum water storage capacity of individual basins and modeled the connectivity among these basins. When compared to field survey results, catchment and spilling point delineations from the LiDAR bare-earth model captured subtle landscape features very well. Of the 11 modeled spilling points, 10 matched field survey spilling points. The comparison between observed and modeled maximum water storage had an R2 of 0.87 with mean absolute error of 5564 m3. Since maximum water storage capacity of basins does not translate into floodwater regulation capability, we further developed a Basin Floodwater Regulation Index. Based upon this index, the absolute and relative water that could be held by wetlands over a landscape could be modeled. This conceptual model of floodwater downstream contribution was demonstrated with water level data from 17 May 2008.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jhydrol.2011.05.040","issn":"00221694","usgsCitation":"Huang, S., Young, C., Feng, M., Heidemann, H.K., Cushing, M., Mushet, D., and Liu, S., 2011, Demonstration of a conceptual model for using LiDAR to improve the estimation of floodwater mitigation potential of Prairie Pothole Region wetlands: Journal of Hydrology, v. 405, no. 3-4, p. 417-426, https://doi.org/10.1016/j.jhydrol.2011.05.040.","productDescription":"10 p.","startPage":"417","endPage":"426","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":245856,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217883,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2011.05.040"}],"country":"United States;Canada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.0,40.38 ], [ -120.0,60.0 ], [ -90.14,60.0 ], [ -90.14,40.38 ], [ -120.0,40.38 ] ] ] } } ] }","volume":"405","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fe90e4b0c8380cd4edca","contributors":{"authors":[{"text":"Huang, S.","contributorId":18168,"corporation":false,"usgs":true,"family":"Huang","given":"S.","affiliations":[],"preferred":false,"id":457836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Caitlin","contributorId":30181,"corporation":false,"usgs":false,"family":"Young","given":"Caitlin","email":"","affiliations":[],"preferred":false,"id":457838,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feng, M.","contributorId":18195,"corporation":false,"usgs":true,"family":"Feng","given":"M.","affiliations":[],"preferred":false,"id":457837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heidemann, Hans Karl 0000-0003-4306-359X kheidemann@usgs.gov","orcid":"https://orcid.org/0000-0003-4306-359X","contributorId":3755,"corporation":false,"usgs":true,"family":"Heidemann","given":"Hans","email":"kheidemann@usgs.gov","middleInitial":"Karl","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":457842,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cushing, Matthew 0000-0001-5209-6006","orcid":"https://orcid.org/0000-0001-5209-6006","contributorId":66101,"corporation":false,"usgs":true,"family":"Cushing","given":"Matthew","affiliations":[],"preferred":false,"id":457840,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mushet, D.M. 0000-0002-5910-2744","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":59377,"corporation":false,"usgs":true,"family":"Mushet","given":"D.M.","affiliations":[],"preferred":false,"id":457839,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":457841,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70036784,"text":"70036784 - 2011 - Horizontal movements of Atlantic blue marlin (Makaira nigricans) in the Gulf of Mexico","interactions":[],"lastModifiedDate":"2020-12-22T13:13:02.380849","indexId":"70036784","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2660,"text":"Marine Biology","active":true,"publicationSubtype":{"id":10}},"title":"Horizontal movements of Atlantic blue marlin (Makaira nigricans) in the Gulf of Mexico","docAbstract":"We examined movements of Atlantic blue marlin (Makaira nigricans) from the Gulf of Mexico based upon 42 pop-up archival transmitting (PAT) tags. Long deployments (including one 334-day track) revealed diverse movement patterns within the Gulf of Mexico. North–south seasonal changes in blue marlin distribution showed strong correspondence with established seasonal patterns of sea surface temperature and primary production. During the summer spawning season, blue marlin utilized outer shelf and shelf edge waters in the northern Gulf of Mexico, and longer duration tracks indicated overwintering habitats in the Bay of Campeche. Egress occurred throughout the year and was difficult to determine because some tracks ended in the Straits of Florida (n = 3) while other tracks recorded movement through it or the Yucatan Channel (n = 4). Our results indicate that Atlantic blue marlin have a more restricted geographic range of habitats than previously recognized and that the Gulf of Mexico provides spatially dynamic suitable habitat that is utilized year-round through seasonal movements.
","language":"English","publisher":"Springer","doi":"10.1007/s00227-010-1593-3","issn":"00253162","usgsCitation":"Kraus, R.T., Wells, R., and Rooker, J., 2011, Horizontal movements of Atlantic blue marlin (Makaira nigricans) in the Gulf of Mexico: Marine Biology, v. 158, no. 3, p. 699-713, https://doi.org/10.1007/s00227-010-1593-3.","productDescription":"15 p.","startPage":"699","endPage":"713","costCenters":[],"links":[{"id":245827,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.533203125,\n 19.80805412808859\n ],\n [\n -77.080078125,\n 23.079731762449878\n ],\n [\n -81.73828125,\n 25.799891182088334\n ],\n [\n -84.111328125,\n 29.458731185355344\n ],\n [\n -86.923828125,\n 30.14512718337613\n ],\n [\n -90,\n 29.305561325527698\n ],\n [\n -94.833984375,\n 29.38217507514529\n ],\n [\n -97.119140625,\n 26.980828590472107\n ],\n [\n -97.294921875,\n 23.644524198573688\n ],\n [\n -95.712890625,\n 19.80805412808859\n ],\n [\n -92.8125,\n 19.89072302399691\n ],\n [\n -89.82421875,\n 22.268764039073968\n ],\n [\n -86.396484375,\n 21.94304553343818\n ],\n [\n -87.36328125,\n 17.811456088564483\n ],\n [\n -87.890625,\n 16.130262012034756\n ],\n [\n -74.267578125,\n 16.29905101458183\n ],\n [\n -66.97265625,\n 16.804541076383455\n ],\n [\n -64.599609375,\n 16.804541076383455\n ],\n [\n -64.423828125,\n 19.394067895396613\n ],\n [\n -66.533203125,\n 19.80805412808859\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"158","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-01-12","publicationStatus":"PW","scienceBaseUri":"505a321ee4b0c8380cd5e531","contributors":{"authors":[{"text":"Kraus, Richard T. 0000-0003-4494-1841 rkraus@usgs.gov","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":2609,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","email":"rkraus@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":457834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wells, R.J.D.","contributorId":105568,"corporation":false,"usgs":true,"family":"Wells","given":"R.J.D.","email":"","affiliations":[],"preferred":false,"id":457835,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rooker, J.R.","contributorId":13072,"corporation":false,"usgs":true,"family":"Rooker","given":"J.R.","affiliations":[],"preferred":false,"id":457833,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70036764,"text":"70036764 - 2011 - Goldschmidt crater and the Moon's north polar region: Results from the Moon Mineralogy Mapper (M3)","interactions":[],"lastModifiedDate":"2017-06-30T09:52:16","indexId":"70036764","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Goldschmidt crater and the Moon's north polar region: Results from the Moon Mineralogy Mapper (M3)","title":"Goldschmidt crater and the Moon's north polar region: Results from the Moon Mineralogy Mapper (M3)","docAbstract":"Soils within the impact crater Goldschmidt have been identified as spectrally distinct from the local highland material. High spatial and spectral resolution data from the Moon Mineralogy Mapper (M3) on the Chandrayaan-1 orbiter are used to examine the character of Goldschmidt crater in detail. Spectral parameters applied to a north polar mosaic of M3 data are used to discern large-scale compositional trends at the northern high latitudes, and spectra from three widely separated regions are compared to spectra from Goldschmidt. The results highlight the compositional diversity of the lunar nearside, in particular, where feldspathic soils with a low-Ca pyroxene component are pervasive, but exclusively feldspathic regions and small areas of basaltic composition are also observed. Additionally, we find that the relative strengths of the diagnostic OH/H2O absorption feature near 3000 nm are correlated with the mineralogy of the host material. On both global and local scales, the strongest hydrous absorptions occur on the more feldspathic surfaces. Thus, M3 data suggest that while the feldspathic soils within Goldschmidt crater are enhanced in OH/H2O compared to the relatively mafic nearside polar highlands, their hydration signatures are similar to those observed in the feldspathic highlands on the farside.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research E: Planets","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2010JE003702","issn":"01480227","usgsCitation":"Cheek, L., Pieters, C., Boardman, J., Clark, R.N., Combe, J.#., Head, J., Isaacson, P., McCord, T.B., Moriarty, D., Nettles, J., Petro, N., Sunshine, J., and Taylor, L., 2011, Goldschmidt crater and the Moon's north polar region: Results from the Moon Mineralogy Mapper (M3): Journal of Geophysical Research E: Planets, v. 116, no. 2, https://doi.org/10.1029/2010JE003702.","ipdsId":"IP-024464","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":475407,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010je003702","text":"Publisher Index Page"},{"id":217510,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010JE003702"},{"id":245461,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"116","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-02-04","publicationStatus":"PW","scienceBaseUri":"505a29a7e4b0c8380cd5ab0e","contributors":{"authors":[{"text":"Cheek, L.C.","contributorId":45934,"corporation":false,"usgs":true,"family":"Cheek","given":"L.C.","email":"","affiliations":[],"preferred":false,"id":457712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pieters, C.M.","contributorId":48733,"corporation":false,"usgs":true,"family":"Pieters","given":"C.M.","email":"","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":457713,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boardman, J.W.","contributorId":106301,"corporation":false,"usgs":true,"family":"Boardman","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":457719,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, R. N.","contributorId":6568,"corporation":false,"usgs":true,"family":"Clark","given":"R.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":457707,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Combe, J. #NAME?","contributorId":37982,"corporation":false,"usgs":false,"family":"Combe","given":"J.","email":"","middleInitial":"#NAME?","affiliations":[],"preferred":false,"id":457711,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Head, J.W.","contributorId":67982,"corporation":false,"usgs":true,"family":"Head","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":457715,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Isaacson, P.J.","contributorId":63236,"corporation":false,"usgs":true,"family":"Isaacson","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":457714,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCord, T. B.","contributorId":69695,"corporation":false,"usgs":false,"family":"McCord","given":"T.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":457716,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Moriarty, D.","contributorId":82953,"corporation":false,"usgs":true,"family":"Moriarty","given":"D.","email":"","affiliations":[],"preferred":false,"id":457718,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nettles, J.W.","contributorId":26165,"corporation":false,"usgs":true,"family":"Nettles","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":457710,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Petro, N.E.","contributorId":18999,"corporation":false,"usgs":true,"family":"Petro","given":"N.E.","email":"","affiliations":[],"preferred":false,"id":457709,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sunshine, J.M.","contributorId":74591,"corporation":false,"usgs":true,"family":"Sunshine","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":457717,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Taylor, L.A.","contributorId":14160,"corporation":false,"usgs":true,"family":"Taylor","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":457708,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70035456,"text":"70035456 - 2011 - Estimating aboveground forest biomass carbon and fire consumption in the U.S. Utah High Plateaus using data from the Forest Inventory and Analysis program, Landsat, and LANDFIRE","interactions":[],"lastModifiedDate":"2018-02-23T11:45:44","indexId":"70035456","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Estimating aboveground forest biomass carbon and fire consumption in the U.S. Utah High Plateaus using data from the Forest Inventory and Analysis program, Landsat, and LANDFIRE","docAbstract":"The concentrations of CO2 and other greenhouse gases in the atmosphere have been increasing and greatly affecting global climate and socio-economic systems. Actively growing forests are generally considered to be a major carbon sink, but forest wildfires lead to large releases of biomass carbon into the atmosphere. Aboveground forest biomass carbon (AFBC), an important ecological indicator, and fire-induced carbon emissions at regional scales are highly relevant to forest sustainable management and climate change. It is challenging to accurately estimate the spatial distribution of AFBC across large areas because of the spatial heterogeneity of forest cover types and canopy structure. In this study, Forest Inventory and Analysis (FIA) data, Landsat, and Landscape Fire and Resource Management Planning Tools Project (LANDFIRE) data were integrated in a regression tree model for estimating AFBC at a 30-m resolution in the Utah High Plateaus. AFBC were calculated from 225 FIA field plots and used as the dependent variable in the model. Of these plots, 10% were held out for model evaluation with stratified random sampling, and the other 90% were used as training data to develop the regression tree model. Independent variable layers included Landsat imagery and the derived spectral indicators, digital elevation model (DEM) data and derivatives, biophysical gradient data, existing vegetation cover type and vegetation structure. The cross-validation correlation coefficient (r value) was 0.81 for the training model. Independent validation using withheld plot data was similar with r value of 0.82. This validated regression tree model was applied to map AFBC in the Utah High Plateaus and then combined with burn severity information to estimate loss of AFBC in the Longston fire of Zion National Park in 2001. The final dataset represented 24 forest cover types for a 4 million ha forested area. We estimated a total of 353 Tg AFBC with an average of 87 MgC/ha in the Utah High Plateaus. We also estimated that 8054 Mg AFBC were released from 2.24 km2 burned forest area in the Longston fire. These results demonstrate that an AFBC spatial map and estimated biomass carbon consumption can readily be generated using existing database. The methodology provides a consistent, practical, and inexpensive way for estimating AFBC at 30-m resolution over large areas throughout the United States.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2009.03.013","issn":"1470160X","usgsCitation":"Chen, X., Liu, S., Zhu, Z., Vogelmann, J., Li, Z., and Ohlen, D.O., 2011, Estimating aboveground forest biomass carbon and fire consumption in the U.S. Utah High Plateaus using data from the Forest Inventory and Analysis program, Landsat, and LANDFIRE: Ecological Indicators, v. 11, no. 1, p. 140-148, https://doi.org/10.1016/j.ecolind.2009.03.013.","productDescription":"9 p.","startPage":"140","endPage":"148","numberOfPages":"9","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":243341,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215530,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolind.2009.03.013"}],"volume":"11","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0b07e4b0c8380cd5251c","contributors":{"authors":[{"text":"Chen, Xuexia","contributorId":140368,"corporation":false,"usgs":false,"family":"Chen","given":"Xuexia","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":450748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":450750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":450745,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vogelmann, James E. 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":649,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James E.","email":"vogel@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":450747,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Zhen","contributorId":200957,"corporation":false,"usgs":false,"family":"Li","given":"Zhen","affiliations":[],"preferred":false,"id":450746,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ohlen, Donald O. ohlen@usgs.gov","contributorId":3779,"corporation":false,"usgs":true,"family":"Ohlen","given":"Donald","email":"ohlen@usgs.gov","middleInitial":"O.","affiliations":[],"preferred":true,"id":450749,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70034382,"text":"70034382 - 2011 - Controls on large landslide distribution and implications for the geomorphic evolution of the southern interior Columbia River basin","interactions":[],"lastModifiedDate":"2021-04-22T12:00:12.727323","indexId":"70034382","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Controls on large landslide distribution and implications for the geomorphic evolution of the southern interior Columbia River basin","docAbstract":"Large landslides (>0.1 km2) are important agents of geomorphic change. While most common in rugged mountain ranges, large landslides can also be widespread in relatively low-relief (several 100 m) terrain, where their distribution has been relatively little studied. A fuller understanding of the role of large landslides in landscape evolution requires addressing this gap, since the distribution of large landslides may affect broad regions through interactions with channel processes, and since the dominant controls on landslide distribution might be expected to vary with tectonic setting. We documented >400 landslides between 0.1 and ∼40 km2 across ∼140,000 km2 of eastern Oregon, in the semiarid, southern interior Columbia River basin. The mapped landslides cluster in a NW-SE–trending band that is 50–100 km wide. Landslides predominantly occur where even modest local relief (∼100 m) exists near key contacts between weak sedimentary or volcaniclastic rock and coherent cap rock. Fault density exerts no control on landslide distribution, while ∼10% of mapped landslides cluster within 3–10 km of mapped fold axes. Landslide occurrence is curtailed to the NE by thick packages of coherent basalt and to the SW by limited local relief. Our results suggest that future mass movements will localize in areas stratigraphically preconditioned for landsliding by a geologic history of fluviolacustrine and volcaniclastic sedimentation and episodic capping by coherent lava flows. In such areas, episodic landsliding may persist for hundreds of thousands of years or more, producing valley wall slopes of ∼7°–13° and impacting local channels with an evolving array of mass movement styles.
","language":"English","publisher":"Geological Society of America.","doi":"10.1130/B30061.1","issn":"00167606","usgsCitation":"Safran, E., Anderson, S., Mills-Novoa, M., House, P., and Ely, L., 2011, Controls on large landslide distribution and implications for the geomorphic evolution of the southern interior Columbia River basin: Geological Society of America Bulletin, v. 123, no. 9-10, p. 1851-1862, https://doi.org/10.1130/B30061.1.","productDescription":"12 p.","startPage":"1851","endPage":"1862","costCenters":[],"links":[{"id":244625,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Oregon, Washington","otherGeospatial":"Southern interior Columbia River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.00488281250001,\n 41.983994270935625\n ],\n [\n -115.15869140624999,\n 42.52069952914966\n ],\n [\n -116.52099609375,\n 43.40504748787035\n ],\n [\n -117.44384765625,\n 44.69989765840318\n ],\n [\n -120.08056640625,\n 45.583289756006316\n ],\n [\n -121.75048828124999,\n 44.88701247981298\n ],\n [\n -121.92626953124999,\n 43.929549935614595\n ],\n [\n -121.728515625,\n 41.983994270935625\n ],\n [\n -115.00488281250001,\n 41.983994270935625\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"123","issue":"9-10","noUsgsAuthors":false,"publicationDate":"2011-01-21","publicationStatus":"PW","scienceBaseUri":"5059fbd0e4b0c8380cd4df9b","contributors":{"authors":[{"text":"Safran, E.B.","contributorId":76970,"corporation":false,"usgs":true,"family":"Safran","given":"E.B.","email":"","affiliations":[],"preferred":false,"id":445526,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, S.W.","contributorId":25628,"corporation":false,"usgs":true,"family":"Anderson","given":"S.W.","email":"","affiliations":[],"preferred":false,"id":445523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mills-Novoa, M.","contributorId":33143,"corporation":false,"usgs":true,"family":"Mills-Novoa","given":"M.","email":"","affiliations":[],"preferred":false,"id":445525,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"House, P.K.","contributorId":25755,"corporation":false,"usgs":true,"family":"House","given":"P.K.","email":"","affiliations":[],"preferred":false,"id":445524,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ely, L.","contributorId":105944,"corporation":false,"usgs":true,"family":"Ely","given":"L.","affiliations":[],"preferred":false,"id":445527,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70034606,"text":"70034606 - 2011 - Mid Holocene lake level and shoreline behavior during the Nipissing phase of the upper Great Lakes at Alpena, Michigan, USA","interactions":[],"lastModifiedDate":"2021-04-15T12:00:47.440536","indexId":"70034606","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Mid Holocene lake level and shoreline behavior during the Nipissing phase of the upper Great Lakes at Alpena, Michigan, USA","docAbstract":"The Nipissing phase was the last pre-modern high-water stage of the upper Great Lakes. Represented as either a one- or two-peak highstand, the Nipissing occurred following a long-term lake-level rise. This transgression was primarily an erosional event with only the final stage of the transgression preserved as barriers, spits, and strandplains of beach ridges. South of Alpena, Michigan, mid to late Holocene coastal deposits occur as a strandplain between Devils Lake and Lake Huron. The landward part of this strandplain is a higher elevation platform that formed during the final stage of lake-level rise to the Nipissing peak. The pre-Nipissing shoreline transgressed over Devils Lake lagoonal deposits from 6.4 to 6.1 ka. The first beach ridge formed ~ 6 ka, and then the shoreline advanced toward Lake Huron, producing beach ridges about every 70 years. This depositional regression produced a slightly thickening wedge of sediment during a lake-level rise that formed 20 beach ridges. The rise ended at 4.5 ka at the Nipissing peak. This peak was short-lived, as lake level fell > 4 m during the following 500 years. During this lake-level rise and subsequent fall, the shoreline underwent several forms of shoreline behavior, including erosional transgression, aggradation, depositional transgression, depositional regression, and forced regression. Other upper Great Lakes Nipissing platforms indicate that the lake-level change observed at Alpena of a rapid pre-Nipissing lake-level rise followed by a slower rise to the Nipissing peak, and a post-Nipissing rapid lake-level fall is representative of mid Holocene lake level in the upper Great Lakes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2011.05.012","issn":"03801330","usgsCitation":"Thompson, T., Lepper, K., Endres, A., Johnston, J., Baedke, S., Argyilan, E., Booth, R., and Wilcox, D., 2011, Mid Holocene lake level and shoreline behavior during the Nipissing phase of the upper Great Lakes at Alpena, Michigan, USA: Journal of Great Lakes Research, v. 37, no. 3, p. 567-576, https://doi.org/10.1016/j.jglr.2011.05.012.","productDescription":"10 p.","startPage":"567","endPage":"576","costCenters":[],"links":[{"id":243630,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215804,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2011.05.012"}],"country":"United States","state":"Michigan","city":"Alpena","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.5455322265625,\n 44.820812031724444\n ],\n [\n -83.2598876953125,\n 44.820812031724444\n ],\n [\n -83.2598876953125,\n 45.1394300814679\n ],\n [\n -83.5455322265625,\n 45.1394300814679\n ],\n [\n -83.5455322265625,\n 44.820812031724444\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a56b1e4b0c8380cd6d763","contributors":{"authors":[{"text":"Thompson, T.A.","contributorId":73226,"corporation":false,"usgs":true,"family":"Thompson","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":446627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lepper, K.","contributorId":81284,"corporation":false,"usgs":true,"family":"Lepper","given":"K.","email":"","affiliations":[],"preferred":false,"id":446628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Endres, A.L.","contributorId":71025,"corporation":false,"usgs":true,"family":"Endres","given":"A.L.","email":"","affiliations":[],"preferred":false,"id":446626,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnston, J.W.","contributorId":67260,"corporation":false,"usgs":true,"family":"Johnston","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":446625,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baedke, S.J.","contributorId":14585,"corporation":false,"usgs":true,"family":"Baedke","given":"S.J.","affiliations":[],"preferred":false,"id":446622,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Argyilan, E.P.","contributorId":11822,"corporation":false,"usgs":true,"family":"Argyilan","given":"E.P.","affiliations":[],"preferred":false,"id":446621,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Booth, R.K.","contributorId":47122,"corporation":false,"usgs":true,"family":"Booth","given":"R.K.","email":"","affiliations":[],"preferred":false,"id":446623,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wilcox, D.A.","contributorId":55382,"corporation":false,"usgs":true,"family":"Wilcox","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":446624,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70034532,"text":"70034532 - 2011 - Storage as a Metric of Catchment Comparison","interactions":[],"lastModifiedDate":"2021-04-16T21:09:39.262456","indexId":"70034532","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Storage as a Metric of Catchment Comparison","docAbstract":"The volume of water stored within a catchment, and its partitioning among groundwater, soil moisture, snowpack, vegetation, and surface water are the variables that ultimately characterize the state of the hydrologic system. Accordingly, storage may provide useful metrics for catchment comparison. Unfortunately, measuring and predicting the amount of water present in a catchment is seldom done; tracking the dynamics of these stores is even rarer. Storage moderates fluxes and exerts critical controls on a wide range of hydrologic and biologic functions of a catchment. While understanding runoff generation and other processes by which catchments release water will always be central to hydrologic science, it is equally essential to understand how catchments retain water. We have initiated a catchment comparison exercise to begin assessing the value of viewing catchments from the storage perspective. The exercise is based on existing data from five watersheds, no common experimental design, and no integrated modelling efforts. Rather, storage was estimated independently for each site. This briefing presents some initial results of the exercise, poses questions about the definitions and importance of storage and the storage perspective, and suggests future directions for ongoing activities.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.8113","issn":"08856087","usgsCitation":"McNamara, J.P., Tetzlaff, D., Bishop, K., Soulsby, C., Seyfried, M., Peters, N., Aulenbach, B., and Hooper, R., 2011, Storage as a Metric of Catchment Comparison: Hydrological Processes, v. 25, no. 21, p. 3364-3371, https://doi.org/10.1002/hyp.8113.","productDescription":"8 p.","startPage":"3364","endPage":"3371","costCenters":[],"links":[{"id":243438,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215622,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.8113"}],"volume":"25","issue":"21","noUsgsAuthors":false,"publicationDate":"2011-05-10","publicationStatus":"PW","scienceBaseUri":"505b986de4b08c986b31c01f","contributors":{"authors":[{"text":"McNamara, J. P.","contributorId":105551,"corporation":false,"usgs":false,"family":"McNamara","given":"J.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":446251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tetzlaff, D.","contributorId":106622,"corporation":false,"usgs":true,"family":"Tetzlaff","given":"D.","email":"","affiliations":[],"preferred":false,"id":446252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bishop, K.","contributorId":43191,"corporation":false,"usgs":true,"family":"Bishop","given":"K.","email":"","affiliations":[],"preferred":false,"id":446248,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Soulsby, C.","contributorId":40713,"corporation":false,"usgs":true,"family":"Soulsby","given":"C.","affiliations":[],"preferred":false,"id":446247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seyfried, M.","contributorId":51119,"corporation":false,"usgs":true,"family":"Seyfried","given":"M.","email":"","affiliations":[],"preferred":false,"id":446249,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peters, N.E.","contributorId":33332,"corporation":false,"usgs":true,"family":"Peters","given":"N.E.","email":"","affiliations":[],"preferred":false,"id":446245,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Aulenbach, Brent T.","contributorId":62766,"corporation":false,"usgs":true,"family":"Aulenbach","given":"Brent T.","affiliations":[],"preferred":false,"id":446250,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hooper, R.","contributorId":40036,"corporation":false,"usgs":true,"family":"Hooper","given":"R.","affiliations":[],"preferred":false,"id":446246,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70034529,"text":"70034529 - 2011 - Late Pleistocene glaciation of the Mt Giluwe volcano, Papua New Guinea","interactions":[],"lastModifiedDate":"2021-04-16T21:23:06.218555","indexId":"70034529","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Late Pleistocene glaciation of the Mt Giluwe volcano, Papua New Guinea","docAbstract":"The Mt Giluwe shield volcano was the largest area glaciated in Papua New Guinea during the Pleistocene. Despite minimal cooling of the sea surface during the last glacial maximum, glaciers reached elevations as low as 3200 m. To investigate changes in the extent of ice through time we have re-mapped evidence for glaciation on the southwest flank of Mt Giluwe. We find that an ice cap has formed on the flanks of the mountain on at least three, and probably four, separate occasions. To constrain the ages of these glaciations we present 39 new cosmogenic 36Cl exposure ages complemented by new radiocarbon dates. Direct dating of the moraines identifies that the maximum extent of glaciation on the mountain was not during the last glacial maximum as previously thought. In conjunction with existing potassium/argon and radiocarbon dating, we recognise four distinct glacial periods between 293–306 ka (Gogon Glaciation), 136–158 ka (Mengane Glaciation), centred at 62 ka (Komia Glaciation) and from >20.3–11.5 ka (Tongo Glaciation). The temperature difference relative to the present during the Tongo Glaciation is likely to be of the order of at least 5 °C which is a minimum difference for the previous glaciations. During the Tongo Glaciation, ice was briefly at its maximum for less than 1000 years, but stayed near maximum levels for nearly 4000 years, until about 15.4 ka. Over the next 4000 years there was more rapid retreat with ice free conditions by the early Holocene.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2011.05.022","issn":"02773791","usgsCitation":"Barrows, T., Hope, G., Prentice, M., Fifield, L., and Tims, S., 2011, Late Pleistocene glaciation of the Mt Giluwe volcano, Papua New Guinea: Quaternary Science Reviews, v. 30, no. 19-20, p. 2676-2689, https://doi.org/10.1016/j.quascirev.2011.05.022.","productDescription":"14 p.","startPage":"2676","endPage":"2689","costCenters":[],"links":[{"id":243371,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215559,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.quascirev.2011.05.022"}],"volume":"30","issue":"19-20","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4513e4b0c8380cd67000","contributors":{"authors":[{"text":"Barrows, T.T.","contributorId":53620,"corporation":false,"usgs":true,"family":"Barrows","given":"T.T.","email":"","affiliations":[],"preferred":false,"id":446234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hope, G.S.","contributorId":97730,"corporation":false,"usgs":true,"family":"Hope","given":"G.S.","email":"","affiliations":[],"preferred":false,"id":446236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prentice, M.L.","contributorId":81227,"corporation":false,"usgs":true,"family":"Prentice","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":446235,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fifield, L.K.","contributorId":47575,"corporation":false,"usgs":true,"family":"Fifield","given":"L.K.","email":"","affiliations":[],"preferred":false,"id":446233,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tims, S.G.","contributorId":107958,"corporation":false,"usgs":true,"family":"Tims","given":"S.G.","email":"","affiliations":[],"preferred":false,"id":446237,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70035461,"text":"70035461 - 2011 - Geodynamic interpretation of the 40Ar/39Ar dating of ophiolitic and arc-related mafics and metamafics of the northern part of the Anadyr-Koryak region","interactions":[],"lastModifiedDate":"2020-10-03T16:17:02.259076","indexId":"70035461","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1826,"text":"Geotectonics","onlineIssn":"1556-1976","printIssn":"0016-8521","active":true,"publicationSubtype":{"id":10}},"title":"Geodynamic interpretation of the 40Ar/39Ar dating of ophiolitic and arc-related mafics and metamafics of the northern part of the Anadyr-Koryak region","docAbstract":"Isotope datings of amphibole-bearing mafics and metamafics in the northern part of the Anadyr-Koryak region allow clarification of the time of magmatic and metamorphic processes, which are synchronous with certain stages of the geodynamic development of the northwest segment of the Pacific mobile belt in the Phanerozoic. To define the 40Ar/39Ar age of amphiboles, eight samples of amphibole gabbroids and metamafics were selected during field work from five massifs representing ophiolites and mafic plutons of the island arc. Rocks from terranes of three foldbelts: 1) Pekulnei (Chukotka region), 2) Ust-Belaya (West Koryak region), and 3) the Tamvatnei and El’gevayam subterranes of the Mainits terrane (Koryak-Kamchatka region), were studied. The isotope investigations enabled us to divide the studied amphiboles into two groups varying in rock petrographic features. The first was represented by gabbroids of the Svetlorechensk massif of the Pekulnei Range and by ophiolites of the Tamvatnei Mts.; their magmatic amphiboles show the distribution of argon isotopes in the form of clearly distinguished plateau with an age ranging within 120–129 Ma. The second group includes metamorphic amphiboles of metagabbroids and apogabbro amphibolites of the Ust-Belaya Mts., Pekulnei and Kenkeren ranges (El’gevayam subterranes). Their age spectra show loss of argon and do not provide well defined plateaus the datings obtained for them are interpreted as minimum ages. Dates of amphiboles from the metagabbro of the upper tectonic plate of the Ust-Belaya allochthon points to metamorphism in the suprasubduction environment in the fragment of Late Neoproterozoic oceanic lithosphere in Middle-Late Devonian time, long before the Uda-Murgal island arc system was formed. The amphibolite metamorphism in the dunite-clinopyroxenite-metagabbro Pekulnei sequence was dated to occur at the Permian-Triassic boundary. The age of amphiboles from gabbrodiorites of the Kenkeren Range was dated to be Early Jurassic that confirmed their assignment to the El’gevayam volcanic-plutonic assemblage. These data are consistent with geological concepts and make more precise the available age dates. Neocomian-Aptian 40Ar/39Ar age of amphibolites from the Pekulnei and Tamvatnei gabbroids make evident that mafics of these terranes (varying in geodynamic formation settings and in petrogenesis) were generated in later stages of the development of the West Pekulnei and Mainits-Algan Middle-Late Jurassic-Early Cretaceous island arc systems, presumably due to breakup of island arcs in the Neocomian.