{"pageNumber":"1447","pageRowStart":"36150","pageSize":"25","recordCount":184717,"records":[{"id":70190120,"text":"70190120 - 2013 - Extremely arsenic-rich, pH-neutral waters from the Giant Mine, Canada","interactions":[],"lastModifiedDate":"2018-01-05T14:28:18","indexId":"70190120","displayToPublicDate":"2013-12-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Extremely arsenic-rich, pH-neutral waters from the Giant Mine, Canada","docAbstract":"Roasting arsenopyrite-bearing gold ore for more than fifty years has resulted in nearly 300,000 tons of arsenic trioxide waste at the Giant mine near Yellowknife, NWT, Canada. Most of this has been stored in underground chambers sealed with concrete bulkheads. Seepages from underground drillholes and fractures contain up to 4,000 mg As L-1. Approximately 70% of the total is As(III). The dominant dissolved constituents are As, Ca, Mg, Na and SO4 with low Fe.","language":"English","publisher":"InfoMine","usgsCitation":"Nordstrom, D.K., 2013, Extremely arsenic-rich, pH-neutral waters from the Giant Mine, Canada.","ipdsId":"IP-044375","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":350338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":344751,"type":{"id":15,"text":"Index Page"},"url":"https://estore.infomine.com/extremely-arsenic-rich-ph-neutral-waters-from-the-giant-mine-canada-p766c1.aspx"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a61029be4b06e28e9c2546c","contributors":{"authors":[{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":707566,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70192414,"text":"70192414 - 2013 - Rapid chemical evolution of tropospheric volcanic emissions from Redoubt Volcano, Alaska, based on observations of ozone and halogen-containing gases","interactions":[],"lastModifiedDate":"2017-10-25T15:11:01","indexId":"70192414","displayToPublicDate":"2013-12-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Rapid chemical evolution of tropospheric volcanic emissions from Redoubt Volcano, Alaska, based on observations of ozone and halogen-containing gases","docAbstract":"

We report results from an observational and modeling study of reactive chemistry in the tropospheric plume emitted by Redoubt Volcano, Alaska. Our measurements include the first observations of Br and I degassing from an Alaskan volcano, the first study of O3 evolution in a volcanic plume, as well as the first detection of BrO in the plume of a passively degassing Alaskan volcano. This study also represents the first detailed spatially-resolved comparison of measured and modeled O3 depletion in a volcanic plume. The composition of the plume was measured on June 20, 2010 using base-treated filter packs (for F, Cl, Br, I, and S) at the crater rim and by an instrumented fixed-wing aircraft on June 21 and August 19, 2010. The aircraft was used to track the chemical evolution of the plume up to ~ 30 km downwind (2 h plume travel time) from the volcano and was equipped to make in situ observations of O3, water vapor, CO2, SO2, and H2S during both flights plus remote spectroscopic observations of SO2 and BrO on the August 19th flight. The airborne data from June 21 reveal rapid chemical O3 destruction in the plume as well as the strong influence chemical heterogeneity in background air had on plume composition. Spectroscopic retrievals from airborne traverses made under the plume on August 19 show that BrO was present ~ 6 km downwind (20 min plume travel time) and in situ measurements revealed several ppbv of O3 loss near the center of the plume at a similar location downwind. Simulations with the PlumeChem model reproduce the timing and magnitude of the observed O3 deficits and suggest that autocatalytic release of reactive bromine and in-plume formation of BrO were primarily responsible for the observed O3 destruction in the plume. The measurements are therefore in general agreement with recent model studies of reactive halogen formation in volcanic plumes, but also show that field studies must pay close attention to variations in the composition of ambient air entrained into volcanic plumes in order to unambiguously attribute observed O3 anomalies to specific chemical or dynamic processes. Our results suggest that volcanic eruptions in Alaska are sources of reactive halogen species to the subarctic troposphere.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2012.04.023","usgsCitation":"Werner, C.A., Kelly, P.J., Kern, C., Roberts, T., and Aluppe, A., 2013, Rapid chemical evolution of tropospheric volcanic emissions from Redoubt Volcano, Alaska, based on observations of ozone and halogen-containing gases: Journal of Volcanology and Geothermal Research, v. 259, p. 317-333, https://doi.org/10.1016/j.jvolgeores.2012.04.023.","productDescription":"17 p.","startPage":"317","endPage":"333","ipdsId":"IP-035796","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473392,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10447/99077","text":"External Repository"},{"id":347388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Redoubt Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154,\n 59\n ],\n [\n -149,\n 59\n ],\n [\n -149,\n 62\n ],\n [\n -154,\n 62\n ],\n [\n -154,\n 59\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"259","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a2a9e4b0220bbd9d9fa8","contributors":{"authors":[{"text":"Werner, Cynthia A. cwerner@usgs.gov","contributorId":2540,"corporation":false,"usgs":true,"family":"Werner","given":"Cynthia","email":"cwerner@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":715744,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kelly, Peter J. 0000-0002-3868-1046 pkelly@usgs.gov","orcid":"https://orcid.org/0000-0002-3868-1046","contributorId":5931,"corporation":false,"usgs":true,"family":"Kelly","given":"Peter","email":"pkelly@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":715747,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":715746,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Roberts, T.J.","contributorId":198344,"corporation":false,"usgs":false,"family":"Roberts","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":715748,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Aluppe, A.","contributorId":198341,"corporation":false,"usgs":false,"family":"Aluppe","given":"A.","email":"","affiliations":[],"preferred":false,"id":715745,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70159158,"text":"70159158 - 2013 - The changing southwest","interactions":[],"lastModifiedDate":"2017-05-02T11:38:41","indexId":"70159158","displayToPublicDate":"2013-12-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The changing southwest","docAbstract":"This chapter describes important geographical and socio-economic characteristics and trends in the Southwest—such as population and economic growth and changes in land ownership, land use, and land cover—that provide the context for how climate change will likely affect the Southwest. The chapter also describes key laws and institutions relevant to adaptive management of resources.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Assessment of climate change in the southwest United States","language":"English","publisher":"Island Press","usgsCitation":"David M. Theobald, Travis, W., Drummond, M.A., Gordon, E., and Betsill, M., 2013, The changing southwest, chap. of Assessment of climate change in the southwest United States, p. 37-55.","productDescription":"19 p.","startPage":"37","endPage":"55","ipdsId":"IP-040009","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":340733,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340732,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.swcarr.arizona.edu/"}],"country":"United States","otherGeospatial":"Southwest United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.56298828124999,\n 43.691707903073805\n ],\n [\n -124.47509765624997,\n 42.53689200787317\n ],\n [\n -124.21142578125,\n 41.75492216766298\n ],\n [\n -124.38720703124999,\n 41.02964338716638\n ],\n [\n -124.21142578125,\n 40.16208338164617\n ],\n [\n -123.59619140624999,\n 39.01064750994083\n ],\n [\n -123.15673828124999,\n 38.25543637637944\n ],\n [\n -122.45361328124999,\n 37.56199695314352\n ],\n [\n -122.10205078124999,\n 36.862042695087254\n ],\n [\n -121.92626953124999,\n 36.2265501474709\n ],\n [\n -121.13525390624999,\n 35.15584570226544\n ],\n [\n -120.60791015624997,\n 34.57895241036945\n ],\n [\n -119.72900390624999,\n 34.361576287484176\n ],\n [\n -118.76220703124999,\n 34.14363482031261\n ],\n [\n -117.61962890624999,\n 33.4131022137083\n ],\n [\n -117.26806640624999,\n 32.676372772089834\n ],\n [\n -114.85107421874999,\n 32.713355353177526\n ],\n [\n -114.71923828124999,\n 32.52828936482526\n ],\n [\n -112.93945312499999,\n 32.04533283885848\n ],\n [\n -111.02783203125,\n 31.372399104880497\n ],\n [\n -108.21533203124999,\n 31.484893386890164\n ],\n [\n -108.30322265624999,\n 31.85889704445453\n ],\n [\n -106.28173828124999,\n 31.85889704445453\n ],\n [\n -105.84228515624999,\n 31.034108344903483\n ],\n [\n -104.87548828124999,\n 30.505483898927256\n ],\n [\n -104.61181640625,\n 29.82158272057499\n ],\n [\n -104.08447265624999,\n 29.267232865200878\n ],\n [\n -103.20556640624999,\n 29.036960648558267\n ],\n [\n -102.59033203124999,\n 29.592565403314087\n ],\n [\n -102.63427734374999,\n 29.70713934813417\n ],\n [\n -102.3046875,\n 29.82158272057499\n ],\n [\n -101.44775390624999,\n 29.7453016622136\n ],\n [\n -100.78857421874999,\n 29.305561325527698\n ],\n [\n -100.54687499999999,\n 28.748396571187406\n ],\n [\n -100.12939453125,\n 28.20760859532738\n ],\n [\n -99.58007812499999,\n 27.547241546253268\n ],\n [\n -99.27246093749999,\n 26.745610382199022\n ],\n [\n -99.11865234374999,\n 26.470573022375056\n ],\n [\n -98.65722656249999,\n 26.31311263768267\n ],\n [\n -97.31689453125,\n 25.819671943904044\n ],\n [\n -97.0751953125,\n 25.859223554761407\n ],\n [\n -97.40478515624999,\n 26.647458702659357\n ],\n [\n -97.05322265624999,\n 27.761329874505233\n ],\n [\n -93.97705078124999,\n 29.592565403314087\n ],\n [\n -91.07666015624999,\n 29.897805610155874\n ],\n [\n -90.72509765624999,\n 32.7503226078097\n ],\n [\n -95.47119140624999,\n 43.18114705939968\n ],\n [\n -124.56298828124999,\n 43.691707903073805\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59099ab1e4b0fc4e44915814","contributors":{"authors":[{"text":"David M. Theobald","contributorId":149279,"corporation":false,"usgs":false,"family":"David M. Theobald","affiliations":[{"id":6737,"text":"Colorado State University, Department of Ecosystem Science and Sustainability, and Natural Resource Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":577726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Travis, William","contributorId":149282,"corporation":false,"usgs":false,"family":"Travis","given":"William","email":"","affiliations":[{"id":6709,"text":"University of Colorado, Denver","active":true,"usgs":false}],"preferred":false,"id":577729,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drummond, Mark A. 0000-0001-7420-3503 madrummond@usgs.gov","orcid":"https://orcid.org/0000-0001-7420-3503","contributorId":3053,"corporation":false,"usgs":true,"family":"Drummond","given":"Mark","email":"madrummond@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":577725,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gordon, Eric","contributorId":149280,"corporation":false,"usgs":false,"family":"Gordon","given":"Eric","email":"","affiliations":[{"id":6709,"text":"University of Colorado, Denver","active":true,"usgs":false}],"preferred":false,"id":577727,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Betsill, Michelle","contributorId":149281,"corporation":false,"usgs":false,"family":"Betsill","given":"Michelle","email":"","affiliations":[{"id":6737,"text":"Colorado State University, Department of Ecosystem Science and Sustainability, and Natural Resource Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":577728,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70187889,"text":"70187889 - 2013 - Brant (Branta bernicla)","interactions":[],"lastModifiedDate":"2018-08-21T15:36:01","indexId":"70187889","displayToPublicDate":"2013-12-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5033,"text":"The Birds of North America","active":true,"publicationSubtype":{"id":10}},"title":"Brant (Branta bernicla)","docAbstract":"

No abstract available

","language":"English","publisher":"Cornell Lab of Ornithology","publisherLocation":"Ithaca, NY","doi":"10.2173/bna.337","usgsCitation":"Lewis, T., Ward, D.H., Sedinger, J.S., Reed, A., and Derksen, D.V., 2013, Brant (Branta bernicla): The Birds of North America, HTML document, https://doi.org/10.2173/bna.337.","productDescription":"HTML document","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":341631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Greenland, Mexico, Russia, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.640625,\n 35.460669951495305\n ],\n [\n -75.234375,\n 35.60371874069731\n ],\n [\n -74.53125,\n 37.020098201368114\n ],\n [\n -73.65234375,\n 39.095962936305476\n ],\n [\n -73.30078125,\n 40.97989806962013\n ],\n [\n -75.5859375,\n 39.774769485295465\n ],\n [\n -76.640625,\n 37.43997405227057\n ],\n [\n -76.640625,\n 35.460669951495305\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.71484375,\n 55.677584411089526\n ],\n [\n -82.44140625,\n 54.470037612805754\n ],\n [\n -82.44140625,\n 53.4357192066942\n ],\n [\n -80.15625,\n 51.069016659603896\n ],\n [\n -75.05859375,\n 45.213003555993964\n ],\n [\n -76.46484375,\n 44.59046718130883\n ],\n [\n -77.6953125,\n 44.33956524809713\n ],\n [\n -79.62890625,\n 43.45291889355465\n ],\n [\n -82.265625,\n 42.68243539838623\n ],\n [\n -83.14453125,\n 40.713955826286046\n ],\n [\n -81.73828125,\n 40.713955826286046\n ],\n [\n -77.6953125,\n 42.293564192170095\n ],\n [\n -75.9375,\n 43.197167282501276\n ],\n [\n -74.53125,\n 43.70759350405294\n ],\n [\n -66.97265625,\n 44.213709909702054\n ],\n [\n -66.97265625,\n 43.197167282501276\n ],\n [\n -66.26953125,\n 42.293564192170095\n ],\n [\n -63.45703124999999,\n 42.293564192170095\n ],\n [\n -60.99609375,\n 43.96119063892024\n ],\n [\n -59.23828124999999,\n 46.558860303117164\n ],\n [\n -59.23828124999999,\n 49.61070993807422\n ],\n [\n -59.58984374999999,\n 52.05249047600099\n ],\n [\n -68.203125,\n 55.87531083569679\n ],\n [\n -75.76171875,\n 58.07787626787517\n ],\n [\n -78.22265625,\n 59.62332522313024\n ],\n [\n -78.92578124999999,\n 61.01572481397616\n ],\n [\n -78.57421875,\n 62.186013857194226\n ],\n [\n -76.46484375,\n 62.2679226294176\n ],\n [\n -74.53125,\n 62.2679226294176\n ],\n [\n -72.94921875,\n 62.91523303947614\n ],\n [\n -82.96875,\n 64.24459476798195\n ],\n [\n -84.375,\n 65.14611484756372\n ],\n [\n -83.14453125,\n 66.08936427047088\n ],\n [\n -86.1328125,\n 66.16051056018838\n ],\n [\n -88.59374999999999,\n 65.36683689226321\n ],\n [\n -90.3515625,\n 64.32087157990324\n ],\n [\n -92.63671875,\n 62.431074232920906\n ],\n [\n -95.80078125,\n 60.50052541051131\n ],\n [\n -95.09765625,\n 59.355596110016315\n ],\n [\n -94.39453125,\n 57.89149735271034\n ],\n [\n -91.7578125,\n 56.65622649350222\n ],\n [\n -87.71484375,\n 55.677584411089526\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.09375,\n 76.39331166244496\n ],\n [\n -66.97265625,\n 77.98904862437391\n ],\n [\n -65.7421875,\n 78.97138592818217\n ],\n [\n -65.0390625,\n 79.59234918793305\n ],\n [\n -63.45703124999999,\n 80.35699541661764\n ],\n [\n -59.23828124999999,\n 80.84490140679905\n ],\n [\n -57.30468749999999,\n 80.98368830825945\n ],\n [\n -50.625,\n 81.33484424149815\n ],\n [\n -44.82421875,\n 81.44013675935982\n ],\n [\n -42.36328124999999,\n 81.92318632602199\n ],\n [\n -43.59375,\n 82.60875400198577\n ],\n [\n -44.47265625,\n 82.83148023336858\n ],\n [\n -40.95703125,\n 82.87521777889145\n ],\n [\n -38.84765625,\n 82.9403268016951\n ],\n [\n -35.859375,\n 82.91868983552702\n ],\n [\n -30.234375,\n 82.83148023336858\n ],\n [\n -29.355468750000004,\n 82.67628497834903\n ],\n [\n -33.046875,\n 82.37914728242664\n ],\n [\n -34.98046875,\n 81.8487556310786\n ],\n [\n -33.046875,\n 81.5182718765338\n ],\n [\n -29.179687499999996,\n 81.69784444971418\n ],\n [\n -27.59765625,\n 81.74845396137906\n ],\n [\n -19.86328125,\n 82.28533149704582\n ],\n [\n -18.10546875,\n 82.6538431108386\n ],\n [\n -19.86328125,\n 83.25709720189784\n ],\n [\n -28.30078125,\n 83.7539108491127\n ],\n [\n -35.859375,\n 83.86761625146907\n ],\n [\n -45.3515625,\n 83.81102365639774\n ],\n [\n -51.50390625,\n 83.4803661137381\n ],\n [\n -55.8984375,\n 82.89698689394207\n ],\n [\n -59.94140624999999,\n 82.33238201413792\n ],\n [\n -61.87499999999999,\n 83.1110709962606\n ],\n [\n -69.08203125,\n 83.1110709962606\n ],\n [\n -74.53125,\n 83.23642648170203\n ],\n [\n -80.5078125,\n 83.17403513173129\n ],\n [\n -89.12109375,\n 82.56338969227059\n ],\n [\n -92.10937499999999,\n 82.26169873683153\n ],\n [\n -94.04296874999999,\n 81.82379431564337\n ],\n [\n -96.6796875,\n 81.1203884020757\n ],\n [\n -99.84374999999999,\n 80.44493052181339\n ],\n [\n -105.64453124999999,\n 79.68718415450823\n ],\n [\n -114.08203125,\n 78.87004849291571\n ],\n [\n -119.70703125,\n 78.1344931829381\n ],\n [\n -123.57421875,\n 76.55774293896555\n ],\n [\n -124.1015625,\n 75.0956327285438\n ],\n [\n -128.49609375,\n 73.02259157147301\n ],\n [\n -128.84765625,\n 71.85622888185527\n ],\n [\n -124.1015625,\n 70.61261423801925\n ],\n [\n -131.1328125,\n 70.78690984117928\n ],\n [\n -134.6484375,\n 70.1403642720717\n ],\n [\n -136.7578125,\n 69.83962194067463\n ],\n [\n -138.8671875,\n 69.71810669906763\n ],\n [\n -142.3828125,\n 70.25945200030638\n ],\n [\n -151.69921875,\n 71.24435551310674\n ],\n [\n -154.3359375,\n 71.24435551310674\n ],\n [\n -156.796875,\n 71.41317683396566\n ],\n [\n -161.71874999999997,\n 70.90226826757711\n ],\n [\n -165.05859375,\n 70.02058730174062\n ],\n [\n -166.2890625,\n 69.28725695167886\n ],\n [\n -175.078125,\n 69.03714171275197\n ],\n [\n -175.78125,\n 71.01695975726373\n ],\n [\n -179.82421875,\n 72.18180355624855\n ],\n [\n -183.8671875,\n 71.74643171904148\n ],\n [\n -184.92187499999997,\n 71.01695975726373\n ],\n [\n -184.74609375,\n 70.55417853776078\n ],\n [\n -190.546875,\n 70.31873847853124\n ],\n [\n -194.4140625,\n 69.96043926902489\n ],\n [\n -196.69921875,\n 69.41124235697256\n ],\n [\n -195.29296875,\n 68.52823492039876\n ],\n [\n -190.546875,\n 68.26938680456564\n ],\n [\n -188.96484375,\n 68.2042121888185\n ],\n [\n -183.8671875,\n 68.07330474079025\n ],\n [\n -179.82421875,\n 67.47492238478702\n ],\n [\n -179.12109374999997,\n 67.13582938531948\n ],\n [\n -179.47265625,\n 65.87472467098549\n ],\n [\n -178.2421875,\n 63.23362741232569\n ],\n [\n -177.01171875,\n 62.431074232920906\n ],\n [\n -171.03515625,\n 62.34960927573042\n ],\n [\n -169.8046875,\n 62.02152819100765\n ],\n [\n -166.81640625,\n 62.59334083012024\n ],\n [\n -168.3984375,\n 61.3546135846894\n ],\n [\n -167.34375,\n 60.1524422143808\n ],\n [\n -165.41015625,\n 58.722598828043374\n ],\n [\n -162.7734375,\n 58.26328705248601\n ],\n [\n -163.125,\n 56.84897198026975\n ],\n [\n -166.9921875,\n 55.57834467218206\n ],\n [\n -171.9140625,\n 54.77534585936447\n ],\n [\n -178.2421875,\n 54.059387886623576\n ],\n [\n -183.515625,\n 53.9560855309879\n ],\n [\n -187.03125,\n 54.059387886623576\n ],\n [\n -189.84375,\n 52.3755991766591\n ],\n [\n -185.80078125,\n 51.72702815704774\n ],\n [\n -182.28515624999997,\n 51.72702815704774\n ],\n [\n -174.55078125,\n 50.958426723359935\n ],\n [\n -169.8046875,\n 51.83577752045248\n ],\n [\n -162.7734375,\n 43.83452678223682\n ],\n [\n -147.65625,\n 38.41055825094609\n ],\n [\n -138.33984375,\n 36.73888412439431\n ],\n [\n -130.60546875,\n 34.45221847282654\n ],\n [\n -127.08984375000001,\n 31.653381399664\n ],\n [\n -122.87109375,\n 27.21555620902969\n ],\n [\n -117.0703125,\n 23.885837699862005\n ],\n [\n -113.02734374999999,\n 21.616579336740603\n ],\n [\n -108.28125,\n 22.105998799750566\n ],\n [\n -106.34765625,\n 23.885837699862005\n ],\n [\n -107.05078125,\n 25.3241665257384\n ],\n [\n -108.45703125,\n 26.745610382199022\n ],\n [\n -109.16015624999999,\n 27.68352808378776\n ],\n [\n -111.26953125,\n 29.22889003019423\n ],\n [\n -111.796875,\n 30.44867367928756\n ],\n [\n -112.8515625,\n 32.54681317351514\n ],\n [\n -116.54296874999999,\n 32.99023555965106\n ],\n [\n -119.70703125,\n 35.88905007936091\n ],\n [\n -121.640625,\n 39.90973623453719\n ],\n [\n -122.51953124999999,\n 42.94033923363181\n ],\n [\n -121.28906250000001,\n 46.800059446787316\n ],\n [\n -121.640625,\n 49.26780455063753\n ],\n [\n -119.00390625,\n 52.696361078274485\n ],\n [\n -119.17968749999999,\n 54.16243396806779\n ],\n [\n -123.92578125,\n 55.47885346331034\n ],\n [\n -127.61718749999999,\n 55.57834467218206\n ],\n [\n -130.078125,\n 56.26776108757582\n ],\n [\n -137.28515624999997,\n 60.50052541051131\n ],\n [\n -139.921875,\n 61.52269494598361\n ],\n [\n -150.82031249999997,\n 61.60639637138628\n ],\n [\n -155.21484375,\n 60.06484046010452\n ],\n [\n -158.73046875,\n 60.326947742998414\n ],\n [\n -161.19140625,\n 61.10078883158897\n ],\n [\n -160.83984375,\n 62.34960927573042\n ],\n [\n -159.609375,\n 63.15435519659187\n ],\n [\n -158.55468749999997,\n 64.77412531292873\n ],\n [\n -163.828125,\n 65.5129625532949\n ],\n [\n -158.02734375,\n 66.37275500247455\n ],\n [\n -160.13671875,\n 67.60922060496382\n ],\n [\n -161.89453125,\n 68.33437594128185\n ],\n [\n -159.78515624999997,\n 69.09993967425089\n ],\n [\n -157.1484375,\n 69.16255790810501\n ],\n [\n -151.171875,\n 69.2249968541159\n ],\n [\n -148.7109375,\n 69.2249968541159\n ],\n [\n -145.37109375,\n 68.97416358340674\n ],\n [\n -143.4375,\n 68.78414378041504\n ],\n [\n -137.8125,\n 68.46379955520322\n ],\n [\n -132.1875,\n 68.33437594128185\n ],\n [\n -129.55078125,\n 68.97416358340674\n ],\n [\n -125.68359374999999,\n 68.65655498475735\n ],\n [\n -122.87109375,\n 68.52823492039876\n ],\n [\n -119.88281249999999,\n 67.87554134672945\n ],\n [\n -117.42187500000001,\n 67.2720426739952\n ],\n [\n -110.390625,\n 66.79190947341796\n ],\n [\n -107.9296875,\n 66.79190947341796\n ],\n [\n -104.0625,\n 67.20403234340081\n ],\n [\n -97.03125,\n 66.93006025862448\n ],\n [\n -94.04296874999999,\n 66.51326044311185\n ],\n [\n -88.41796875,\n 66.16051056018838\n ],\n [\n -82.44140625,\n 66.08936427047088\n ],\n [\n -80.68359375,\n 66.65297740055279\n ],\n [\n -79.8046875,\n 67.7427590666639\n ],\n [\n -80.68359375,\n 68.78414378041504\n ],\n [\n -76.11328125,\n 68.97416358340674\n ],\n [\n -78.3984375,\n 67.60922060496382\n ],\n [\n -76.11328125,\n 66.44310650816469\n ],\n [\n -78.92578124999999,\n 65.73062649311031\n ],\n [\n -78.57421875,\n 64.62387720204688\n ],\n [\n -75.9375,\n 64.16810689799152\n ],\n [\n -70.13671875,\n 64.84893726357947\n ],\n [\n -70.13671875,\n 66.30220547599842\n ],\n [\n -70.13671875,\n 67.33986082559095\n ],\n [\n -70.83984375,\n 68.46379955520322\n ],\n [\n -72.94921875,\n 69.41124235697256\n ],\n [\n -75.76171875,\n 70.1403642720717\n ],\n [\n -80.5078125,\n 70.67088107015755\n ],\n [\n -85.60546875,\n 71.13098770917023\n ],\n [\n -84.55078125,\n 72.71190310803662\n ],\n [\n -81.03515625,\n 72.86793049861396\n ],\n [\n -77.87109375,\n 72.3424643905499\n ],\n [\n -76.11328125,\n 72.18180355624855\n ],\n [\n -74.70703125,\n 73.17589717422607\n ],\n [\n -76.11328125,\n 73.9710776393399\n ],\n [\n -76.81640625,\n 74.68325030051861\n ],\n [\n -77.6953125,\n 75.45307133006602\n ],\n [\n -78.046875,\n 76.434603583513\n ],\n [\n -76.81640625,\n 77.38950400539731\n ],\n [\n -74.53125,\n 78.31385955743478\n ],\n [\n -72.59765625,\n 79.07181201408547\n ],\n [\n -71.3671875,\n 79.68718415450823\n ],\n [\n -69.08203125,\n 79.93591824625466\n ],\n [\n -67.8515625,\n 79.4323707591471\n ],\n [\n -69.9609375,\n 79.17133464081945\n ],\n [\n -71.89453125,\n 78.73350050778467\n ],\n [\n -73.828125,\n 78.27820145542813\n ],\n [\n -72.94921875,\n 77.80477074199557\n ],\n [\n -71.3671875,\n 77.46602847687329\n ],\n [\n -71.3671875,\n 77.11803181203176\n ],\n [\n -71.015625,\n 76.31035754301745\n ],\n [\n -69.08203125,\n 75.67219739055291\n ],\n [\n -66.09375,\n 76.39331166244496\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59269bb8e4b0b7ff9fb48977","contributors":{"authors":[{"text":"Lewis, T.L.","contributorId":27985,"corporation":false,"usgs":true,"family":"Lewis","given":"T.L.","email":"","affiliations":[],"preferred":false,"id":695907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":695908,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sedinger, James S.","contributorId":84861,"corporation":false,"usgs":false,"family":"Sedinger","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":695909,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reed, Austin","contributorId":18833,"corporation":false,"usgs":true,"family":"Reed","given":"Austin","email":"","affiliations":[],"preferred":false,"id":695910,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Derksen, Dirk V. dderksen@usgs.gov","contributorId":2269,"corporation":false,"usgs":true,"family":"Derksen","given":"Dirk","email":"dderksen@usgs.gov","middleInitial":"V.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":695911,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70197842,"text":"70197842 - 2013 - Cross-scale modeling of surface temperature and tree seedling establishment inmountain landscapes","interactions":[],"lastModifiedDate":"2018-06-21T12:36:56","indexId":"70197842","displayToPublicDate":"2013-12-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1460,"text":"Ecological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Cross-scale modeling of surface temperature and tree seedling establishment inmountain landscapes","docAbstract":"Abstract:\n Introduction: Estimating surface temperature from above-ground field measurements is important for understanding the complex landscape patterns of plant seedling survival and establishment, processes which occur at heights of only several centimeters. Currently, future climate models predict temperature at 2 m above ground, leaving ground-surface microclimate not well characterized.\n Methods: Using a network of field temperature sensors and climate models, a ground-surface temperature method was used to estimate microclimate variability of minimum and maximum temperature. Temperature lapse rates were derived from field temperature sensors and distributed across the landscape capturing differences in solar radiation and cold air drainages modeled at a 30-m spatial resolution.\n Results: The surface temperature estimation method used for this analysis successfully estimated minimum surface temperatures on north-facing, south-facing, valley, and ridgeline topographic settings, and when compared to measured temperatures yielded an R2 of 0.88, 0.80, 0.88, and 0.80, respectively. Maximum surface temperatures generally had slightly more spatial variability than minimum surface temperatures, resulting in R2 values of 0.86, 0.77, 0.72, and 0.79 for north-facing, south-facing, valley, and ridgeline topographic settings. Quasi-Poisson regressions predicting recruitment of Quercus kelloggii (black oak) seedlings from temperature variables were significantly improved using these estimates of surface temperature compared to air temperature modeled at 2 m.\n Conclusion: \nPredicting minimum and maximum ground-surface temperatures using a downscaled climate model coupled with temperature lapse rates estimated from field measurements provides a method for modeling temperature effects on plant recruitment. Such methods could be applied to improve projections of species’ range shifts under climate change. Areas of complex topography can provide intricate microclimates that may allow species to redistribute locally as climate changes.","language":"English","publisher":"Springer","doi":"10.1186/2192-1709-2-30","usgsCitation":"Dingman, J., Sweet, L.C., McCullough, I.M., Davis, F.W., Flint, A.L., Franklin, J., and Flint, L.E., 2013, Cross-scale modeling of surface temperature and tree seedling establishment inmountain landscapes: Ecological Processes, v. 2, e30; 15 p., https://doi.org/10.1186/2192-1709-2-30.","productDescription":"e30; 15 p.","ipdsId":"IP-051373","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":473391,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/2192-1709-2-30","text":"Publisher Index Page"},{"id":355269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-17","publicationStatus":"PW","scienceBaseUri":"5b46f227e4b060350a15d38a","contributors":{"authors":[{"text":"Dingman, John jdingman@usgs.gov","contributorId":205860,"corporation":false,"usgs":true,"family":"Dingman","given":"John","email":"jdingman@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":738718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sweet, Lynn C.","contributorId":149951,"corporation":false,"usgs":false,"family":"Sweet","given":"Lynn","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":738719,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCullough, Ian M.","contributorId":149952,"corporation":false,"usgs":false,"family":"McCullough","given":"Ian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":738720,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Frank W.","contributorId":150406,"corporation":false,"usgs":false,"family":"Davis","given":"Frank","email":"","middleInitial":"W.","affiliations":[{"id":18015,"text":"Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":738721,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":738722,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Franklin, Janet","contributorId":90833,"corporation":false,"usgs":true,"family":"Franklin","given":"Janet","affiliations":[],"preferred":false,"id":738723,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":738724,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70192453,"text":"70192453 - 2013 - Magmatism, ash-flow tuffs, and calderas of the ignimbrite flareup in the western Nevada volcanic field, Great Basin, USA","interactions":[],"lastModifiedDate":"2017-11-15T13:12:44","indexId":"70192453","displayToPublicDate":"2013-12-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Magmatism, ash-flow tuffs, and calderas of the ignimbrite flareup in the western Nevada volcanic field, Great Basin, USA","docAbstract":"

The western Nevada volcanic field is the western third of a belt of calderas through Nevada and western Utah. Twenty-three calderas and their caldera-forming tuffs are reasonably well identified in the western Nevada volcanic field, and the presence of at least another 14 areally extensive, apparently voluminous ash-flow tuffs whose sources are unknown suggests a similar number of undiscovered calderas. Eruption and caldera collapse occurred between at least 34.4 and 23.3 Ma and clustered into five ∼0.5–2.7-Ma-long episodes separated by quiescent periods of ∼1.4 Ma. One eruption and caldera collapse occurred at 19.5 Ma. Intermediate to silicic lavas or shallow intrusions commonly preceded caldera-forming eruptions by 1–6 Ma in any specific area. Caldera-related as well as other magmatism migrated from northeast Nevada to the southwest through time, probably resulting from rollback of the formerly shallow-dipping Farallon slab. Calderas are restricted to the area northeast of what was to become the Walker Lane, although intermediate and effusive magmatism continued to migrate to the southwest across the future Walker Lane.

Most ash-flow tuffs in the western Nevada volcanic field are rhyolites, with approximately equal numbers of sparsely porphyritic (≤15% phenocrysts) and abundantly porphyritic (∼20–50% phenocrysts) tuffs. Both sparsely and abundantly porphyritic rhyolites commonly show compositional or petrographic evidence of zoning to trachydacites or dacites. At least four tuffs have volumes greater than 1000 km3, with one possibly as much as ∼3000 km3. However, the volumes of most tuffs are difficult to estimate, because many tuffs primarily filled their source calderas and/or flowed and were deposited in paleovalleys, and thus are irregularly distributed.

Channelization and westward flow of most tuffs in paleovalleys allowed them to travel great distances, many as much as ∼250 km (original distance) to what is now the western foothills of the Sierra Nevada, which was not a barrier to westward flow of ash flows at that time. At least three tuffs flowed eastward across a north-south paleodivide through central Nevada. That tuffs could flow significant distances apparently uphill raises questions about the absolute elevation of the region and the elevation, relief, and location of the paleodivide.

Calderas are equant to slightly elongate, at least 12 km in diameter, and as much as 35 km in longest dimension. Exceptional exposure of two caldera complexes that resulted from extensional faulting and tilting show that calderas subsided as much as 5 km as large piston-like blocks; caldera walls were vertical to steeply inward dipping to depths ≥4–5 km, and topographic walls formed by slumping of wall rock into the caldera were only slightly outboard (≤1 km) of structural margins.

Most calderas show abundant post-collapse magmatism expressed as resurgent intrusions, ring-fracture intrusions, or intracaldera lavas that are closely related temporally (∼0–0.5 Ma younger) to caldera formation. Granitoid intrusions, which were emplaced at paleodepths ranging from <1 to ∼7 km, are compositionally similar to both intracaldera ash-flow tuffs and post-caldera lavas. Therefore in the western Nevada volcanic field, erupted caldera-forming tuffs commonly were the upper parts of large magma chambers that retained considerable volumes of magma after tuff eruption.

Several calderas in the western Nevada volcanic field hosted large hydrothermal systems and underwent extensive hydrothermal alteration. Different types of hydrothermal systems (neutral-pH alkali-chloride and acid or low-pH magmatic-hydrothermal) may reflect proximity to (depth of) large resurgent intrusions. With the exception of the giant Round Mountain epithermal gold deposit, few known caldera-related hydrothermal systems are strongly mineralized. Major middle Cenozoic precious and base metal mineral deposits in and along the margins of the western Nevada volcanic field are mostly related to intrusive rocks that preceded caldera-forming eruptions.

","language":"English","publisher":"Geosphere","doi":"10.1130/GES00867.1","usgsCitation":"Christopher D. Henry, and John, D.A., 2013, Magmatism, ash-flow tuffs, and calderas of the ignimbrite flareup in the western Nevada volcanic field, Great Basin, USA: Geosphere, v. 9, no. 3, p. 951-1008, https://doi.org/10.1130/GES00867.1.","productDescription":"58 p.","startPage":"951","endPage":"1008","ipdsId":"IP-044884","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":473389,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00867.1","text":"Publisher Index Page"},{"id":348889,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.4755859375,\n 34.59704151614417\n ],\n [\n -111.005859375,\n 34.59704151614417\n ],\n [\n -111.005859375,\n 42.68243539838623\n ],\n [\n -122.4755859375,\n 42.68243539838623\n ],\n [\n -122.4755859375,\n 34.59704151614417\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a61029be4b06e28e9c25468","contributors":{"authors":[{"text":"Christopher D. Henry","contributorId":177561,"corporation":false,"usgs":false,"family":"Christopher D. Henry","affiliations":[{"id":6689,"text":"Nevada Bureau of Mines and Geology","active":true,"usgs":false}],"preferred":false,"id":715913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"John, David A. 0000-0001-7977-9106 djohn@usgs.gov","orcid":"https://orcid.org/0000-0001-7977-9106","contributorId":1748,"corporation":false,"usgs":true,"family":"John","given":"David","email":"djohn@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":715912,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192250,"text":"70192250 - 2013 - The 2011 M = 9.0 Tohoku oki earthquake more than doubled the probability of large shocks beneath Tokyo","interactions":[],"lastModifiedDate":"2017-10-24T11:46:38","indexId":"70192250","displayToPublicDate":"2013-12-31T00:00:00","publicationYear":"2013","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}},"displayTitle":"The 2011 M = 9.0 Tohoku oki earthquake more than doubled the probability of large shocks beneath Tokyo","title":"The 2011 M = 9.0 Tohoku oki earthquake more than doubled the probability of large shocks beneath Tokyo","docAbstract":"1] The Kanto seismic corridor surrounding Tokyo has hosted four to five M ≥ 7 earthquakes in the past 400 years. Immediately after the Tohoku earthquake, the seismicity rate in the corridor jumped 10-fold, while the rate of normal focal mechanisms dropped in half. The seismicity rate decayed for 6–12 months, after which it steadied at three times the pre-Tohoku rate. The seismicity rate jump and decay to a new rate, as well as the focal mechanism change, can be explained by the static stress imparted by the Tohoku rupture and postseismic creep to Kanto faults. We therefore fit the seismicity observations to a rate/state Coulomb model, which we use to forecast the time-dependent probability of large earthquakes in the Kanto seismic corridor. We estimate a 17% probability of a M ≥ 7.0 shock over the 5 year prospective period 11 March 2013 to 10 March 2018, two-and-a-half times the probability had the Tohoku earthquake not struck","language":"English","publisher":"American Geophysical Union","doi":"10.1002/grl.50524","usgsCitation":"Toda, S., and Stein, R.S., 2013, The 2011 M = 9.0 Tohoku oki earthquake more than doubled the probability of large shocks beneath Tokyo: Geophysical Research Letters, v. 40, no. 11, p. 2562-2566, https://doi.org/10.1002/grl.50524.","productDescription":"5 p.","startPage":"2562","endPage":"2566","ipdsId":"IP-044008","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","state":"Tokyo","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 138,\n 34.075412438417395\n ],\n [\n 142,\n 34.075412438417395\n ],\n [\n 142,\n 37\n ],\n [\n 138,\n 37\n ],\n [\n 138,\n 34.075412438417395\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-06-06","publicationStatus":"PW","scienceBaseUri":"59f05124e4b0220bbd9a1dbe","contributors":{"authors":[{"text":"Toda, Shinji","contributorId":43062,"corporation":false,"usgs":true,"family":"Toda","given":"Shinji","email":"","affiliations":[],"preferred":false,"id":715009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stein, Ross S. 0000-0001-7586-3933 rstein@usgs.gov","orcid":"https://orcid.org/0000-0001-7586-3933","contributorId":2604,"corporation":false,"usgs":true,"family":"Stein","given":"Ross","email":"rstein@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":715010,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192322,"text":"70192322 - 2013 - Use of fragile geologic structures as indicators of unexceeded ground motions and direct constraints on probabilistic seismic hazard analysis","interactions":[],"lastModifiedDate":"2017-10-25T10:31:13","indexId":"70192322","displayToPublicDate":"2013-12-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":960,"text":"BSSA","active":true,"publicationSubtype":{"id":10}},"title":"Use of fragile geologic structures as indicators of unexceeded ground motions and direct constraints on probabilistic seismic hazard analysis","docAbstract":"We present a quantitative procedure for constraining probabilistic seismic hazard analysis results at a given site, based on the existence of fragile geologic structures at that site. We illustrate this procedure by analyzing precarious rocks and undamaged lithophysae at Yucca Mountain, Nevada. The key metric is the probability that the feature would have survived to the present day, assuming that the hazard results are correct. If the fragile geologic structure has an extremely low probability of having survived (which would be inconsistent with the observed survival of the structure), then the calculations illustrate how much the hazard would have to be reduced to result in a nonnegligible survival probability. The calculations are able to consider structures the predicted failure probabilities of which are a function of one or more ground‐motion parameters, as well as structures that either rapidly or slowly evolved to their current state over time. These calculations are the only way to validate seismic hazard curves over long periods of time.","language":"English","publisher":"BSSA","doi":"10.1785/0120120202","usgsCitation":"Baker, J.W., Whitney, J.W., Hanks, T.C., Abramson, N.A., and Board, M.P., 2013, Use of fragile geologic structures as indicators of unexceeded ground motions and direct constraints on probabilistic seismic hazard analysis: BSSA, v. 103, no. 3, p. 1898-1911, https://doi.org/10.1785/0120120202.","productDescription":"14 p.","startPage":" 1898","endPage":"1911","ipdsId":"IP-038935","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347318,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"103","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-06-07","publicationStatus":"PW","scienceBaseUri":"59f1a2a9e4b0220bbd9d9fb2","contributors":{"authors":[{"text":"Baker, J. W. 0000-0003-2744-9599","orcid":"https://orcid.org/0000-0003-2744-9599","contributorId":198187,"corporation":false,"usgs":false,"family":"Baker","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":715300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitney, John W. 0000-0003-3824-3692 jwhitney@usgs.gov","orcid":"https://orcid.org/0000-0003-3824-3692","contributorId":804,"corporation":false,"usgs":true,"family":"Whitney","given":"John","email":"jwhitney@usgs.gov","middleInitial":"W.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":715298,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanks, Thomas C. 0000-0003-0928-0056 thanks@usgs.gov","orcid":"https://orcid.org/0000-0003-0928-0056","contributorId":3065,"corporation":false,"usgs":true,"family":"Hanks","given":"Thomas","email":"thanks@usgs.gov","middleInitial":"C.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":715299,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Abramson, Norman A.","contributorId":198189,"corporation":false,"usgs":false,"family":"Abramson","given":"Norman","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":715302,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Board, Mark P.","contributorId":198188,"corporation":false,"usgs":false,"family":"Board","given":"Mark","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":715301,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70193778,"text":"70193778 - 2013 - Distance, dams and drift: What structures populations of an endangered, benthic stream fish?","interactions":[],"lastModifiedDate":"2017-11-09T12:55:17","indexId":"70193778","displayToPublicDate":"2013-12-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Distance, dams and drift: What structures populations of an endangered, benthic stream fish?","docAbstract":"

Spatial population structure plays an important role in species persistence, evolution and conservation. Benthic stream fishes are diverse and frequently imperilled, yet the determinants and spatial scaling of their population structure are understudied. We investigated the range-wide population genetic structure of Roanoke logperch (Percina rex), an endangered, benthic stream fish of the eastern United States. Fish were sampled from 35 sites and analysed at 11 microsatellite DNA loci. Clustering models were used to sort individuals into genetically cohesive groups and thereby estimate the spatial scaling of population structure. We then used Bayesian generalized linear mixed models (BGLMMs) to test alternative hypotheses about the environmental factors most responsible for generating structure, as measured by the differentiation statistic FST. Clustering models delineated seven discrete populations, whose boundaries coincided with agents of fragmentation, including hydroelectric dams and tailwaters. In the absence of hydrological barriers, gene flow was extensive throughout catchments, whereas there was no evidence for contemporary dispersal between catchments across barriers. In the best-supported BGLMM, FST was positively related to the spatial distance and degree of hydrological alteration between sites and negatively related to genetic diversity within sites. Whereas the effect of tailwaters was equivocal, dams strongly influenced differentiation: the effect of a dam on FST was comparable to that of a between-site distance of over 1200 km of unimpounded river. Overall, the effect of distance-mediated dispersal was negligible compared to the combined effects of fragmentation and genetic drift. The contemporary population structure of P. rex comprises a few geographically extensive ‘islands’ that are fragmented by hydroelectric projects. This information clarifies the importance of a catchment-scale perspective on conserving the species and suggests that its recovery may require genetic and/or demographic reconnection of presently isolated populations.

","language":"English","publisher":"Wiley","doi":"10.1111/fwb.12190","usgsCitation":"Roberts, J.H., Angermeier, P.L., and Hallerman, E.M., 2013, Distance, dams and drift: What structures populations of an endangered, benthic stream fish?: Freshwater Biology, v. 58, no. 10, p. 2050-2064, https://doi.org/10.1111/fwb.12190.","productDescription":"15 p.","startPage":"2050","endPage":"2064","ipdsId":"IP-031963","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Virginia","otherGeospatial":"Dan River, Nottoway River, Roanoke River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.244140625,\n 37.448696585910376\n ],\n [\n -80.452880859375,\n 37.274052809979054\n ],\n [\n -80.079345703125,\n 37.15156050223665\n ],\n [\n -80.244140625,\n 36.94111143010769\n ],\n [\n -80.540771484375,\n 36.87962060502676\n ],\n [\n -80.66162109375,\n 36.54494944148322\n ],\n [\n -80.79345703125,\n 35.96022296929667\n ],\n [\n -80.68359375,\n 35.755428369259626\n ],\n [\n -80.452880859375,\n 35.862343734896484\n ],\n [\n -80.2880859375,\n 36.02244668175846\n ],\n [\n -80.013427734375,\n 36.01356058518153\n ],\n [\n -79.56298828125,\n 35.90684930677121\n ],\n [\n -79.07958984375,\n 36.27970720524017\n ],\n [\n -78.299560546875,\n 36.359374956015856\n ],\n [\n -77.89306640625,\n 36.19995805932895\n ],\n [\n -77.310791015625,\n 35.88905007936091\n ],\n [\n -77.0361328125,\n 35.79108281624994\n ],\n [\n -76.761474609375,\n 36.075742215627\n ],\n [\n -76.75048828125,\n 37.01132594307015\n ],\n [\n -77.640380859375,\n 37.15156050223665\n ],\n [\n -77.794189453125,\n 37.125286284966805\n ],\n [\n -77.882080078125,\n 36.99377838872517\n ],\n [\n -78.11279296875,\n 37.22158045838649\n ],\n [\n -78.695068359375,\n 37.39634613318923\n ],\n [\n -79.112548828125,\n 37.39634613318923\n ],\n [\n -79.332275390625,\n 37.21283151445594\n ],\n [\n -79.6728515625,\n 37.54457732085582\n ],\n [\n -80.244140625,\n 37.448696585910376\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"58","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-06-20","publicationStatus":"PW","scienceBaseUri":"5a05771de4b09af898c70870","contributors":{"authors":[{"text":"Roberts, James H.","contributorId":83811,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":721459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":720427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hallerman, Eric M.","contributorId":40501,"corporation":false,"usgs":true,"family":"Hallerman","given":"Eric","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721460,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193840,"text":"70193840 - 2013 - Stainless-steel wires exclude gulls from a wastewater treatment plant","interactions":[],"lastModifiedDate":"2017-11-08T10:15:58","indexId":"70193840","displayToPublicDate":"2013-12-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2136,"text":"Journal - American Water Works Association","active":true,"publicationSubtype":{"id":10}},"title":"Stainless-steel wires exclude gulls from a wastewater treatment plant","docAbstract":"

There is growing concern about the prevalence of pathogens and antibiotic-resistant bacteria in the environment and the role wildlife plays in their transmission and dissemination. Gulls feeding at wastewater treatment plants may provide a route for transmission of pathogens and bacteria to public water supplies or other critical areas. The authors identified gulls routinely feeding at a wastewater treatment plant in Millbury, Mass., and tested the effectiveness of overhead stainless-steel wires in excluding gulls from the plant. The number of gulls in certainstructures was compared before and after wiring and during an experimental approach using simultaneous treatments and controls. Stainless-steel wires spaced at 0.9-3.3 m (3-10 ft) effectively prevented gulls from using treatment structures (p < 0.0001) and were effective for > 24 months. Materials costs to wire all structures was about $5,700, and labor costs were $4,020. Overhead stainless-steel wires can provide a long-term, cost-efficient method of excluding ring-billed gulls from wastewater treatment plants.
","language":"English","publisher":"American Water Works Association","doi":"10.5942/jawwa.2013.105.0118","usgsCitation":"Clark, D.E., Koenen, K.K., MacKenzie, K.G., Pereira, J.W., and DeStefano, S., 2013, Stainless-steel wires exclude gulls from a wastewater treatment plant: Journal - American Water Works Association, v. 105, no. 10, p. E609-E618, https://doi.org/10.5942/jawwa.2013.105.0118.","productDescription":"10 p.","startPage":"E609","endPage":"E618","ipdsId":"IP-043821","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","city":"Millbury","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.82775497436522,\n 42.13947756370087\n ],\n [\n -71.68012619018555,\n 42.13947756370087\n ],\n [\n -71.68012619018555,\n 42.24262500380012\n ],\n [\n -71.82775497436522,\n 42.24262500380012\n ],\n [\n -71.82775497436522,\n 42.13947756370087\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"105","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425c7e4b0dc0b45b4542b","contributors":{"authors":[{"text":"Clark, Daniel E.","contributorId":166686,"corporation":false,"usgs":false,"family":"Clark","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":721014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koenen, Kiana K. G.","contributorId":34313,"corporation":false,"usgs":true,"family":"Koenen","given":"Kiana","email":"","middleInitial":"K. G.","affiliations":[],"preferred":false,"id":721015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacKenzie, Kenneth G.","contributorId":166688,"corporation":false,"usgs":false,"family":"MacKenzie","given":"Kenneth","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":721016,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pereira, Jillian W.","contributorId":171609,"corporation":false,"usgs":false,"family":"Pereira","given":"Jillian","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":721017,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeStefano, Stephen 0000-0003-2472-8373 destef@usgs.gov","orcid":"https://orcid.org/0000-0003-2472-8373","contributorId":166706,"corporation":false,"usgs":true,"family":"DeStefano","given":"Stephen","email":"destef@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":720634,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70190487,"text":"70190487 - 2013 - Localized extinction of an arboreal desert lizard caused by habitat fragmentation","interactions":[],"lastModifiedDate":"2017-09-05T08:57:05","indexId":"70190487","displayToPublicDate":"2013-12-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Localized extinction of an arboreal desert lizard caused by habitat fragmentation","docAbstract":"

We adopted a species’ perspective for predicting extinction risk in a small, endemic, and strictly scansorial lizard (Urosaurus nigricaudus), in an old (∼60 year) and highly fragmented (8% habitat remaining) agricultural landscape from the Sonoran Desert, Mexico. We genotyped 10 microsatellite loci in 280 individuals from 11 populations in fragmented and continuous habitat. Individual dispersal was restricted to less than 400 m, according to analyses of spatial autocorrelation and spatially explicit Bayesian assignment methods. Within this scale, continuous areas and narrow washes with native vegetation allowed high levels of gene flow over tens of kilometers. In the absence of the native vegetation, cleared areas and highways were identified as partial barriers. In contrast, outside the scale of dispersal, cleared areas behaved as complete barriers, and surveys corroborated the species went extinct after a few decades in all small (less than 45 ha), isolated habitat fragments. No evidence for significant loss of genetic diversity was found, but results suggested fragmentation increased the spatial scale of movements, relatedness, genetic structure, and potentially affected sex-biased dispersal. A plausible threshold of individual dispersal predicted only 23% of all fragments in the landscape were linked with migration from continuous habitat, while complete barriers isolated the majority of fragments. Our study suggested limited dispersal, coupled with an inability to use a homogeneous and hostile matrix without vegetation and shade, could result in frequent time-delayed extinctions of small ectotherms in highly fragmented desert landscapes, particularly considering an increase in the risk of overheating and a decrease in dispersal potential induced by global warming.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2012.06.026","usgsCitation":"Munguia-Vega, A., Rodriguez-Estrella, R., Shaw, W.W., and Culver, M., 2013, Localized extinction of an arboreal desert lizard caused by habitat fragmentation: Biological Conservation, v. 157, p. 11-20, https://doi.org/10.1016/j.biocon.2012.06.026.","productDescription":"10 p.","startPage":"11","endPage":"20","ipdsId":"IP-058044","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":473387,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10261/67400","text":"External Repository"},{"id":345449,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Sonoran Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.0330810546875,\n 24.80169495167004\n ],\n [\n -111.324462890625,\n 24.80169495167004\n ],\n [\n -111.324462890625,\n 25.710836919640595\n ],\n [\n -112.0330810546875,\n 25.710836919640595\n ],\n [\n -112.0330810546875,\n 24.80169495167004\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"157","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59afb79fe4b0e9bde135113d","contributors":{"authors":[{"text":"Munguia-Vega, Adrian","contributorId":56909,"corporation":false,"usgs":false,"family":"Munguia-Vega","given":"Adrian","email":"","affiliations":[],"preferred":false,"id":709440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez-Estrella, Ricardo","contributorId":196143,"corporation":false,"usgs":false,"family":"Rodriguez-Estrella","given":"Ricardo","email":"","affiliations":[],"preferred":false,"id":709441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shaw, William W.","contributorId":196144,"corporation":false,"usgs":false,"family":"Shaw","given":"William","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":709442,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Culver, Melanie 0000-0001-5380-3059 mculver@usgs.gov","orcid":"https://orcid.org/0000-0001-5380-3059","contributorId":4327,"corporation":false,"usgs":true,"family":"Culver","given":"Melanie","email":"mculver@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false},{"id":127,"text":"Arizona Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":709439,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189084,"text":"70189084 - 2013 - Formation of a low-crystalline Zn-silicate in a stream in SW Sardinia, Italy","interactions":[],"lastModifiedDate":"2019-12-21T08:15:10","indexId":"70189084","displayToPublicDate":"2013-12-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3828,"text":"Procedia Earth and Planetary Science","active":true,"publicationSubtype":{"id":10}},"title":"Formation of a low-crystalline Zn-silicate in a stream in SW Sardinia, Italy","docAbstract":"

n southwestern Sardinia, Italy, the Rio Naracauli drains a catchment that includes several abandoned mines. The drainage from the mines and associated waste rocks has led to extreme concentrations of dissolved Zn, but because of the near-neutral pH, concentrations of other metals remain low. In the reach from approximately 2300 to 3000 m downstream from the headwaters area, an amorphous Zn-silicate precipitates from the water. In this reach, concentrations of both Zn and silica remain nearly constant, but the loads (measured in mass/time) of both increase, suggesting that new Zn and silica are supplied to the stream, likely from emerging groundwater. Zinc isotope signatures of the solid are heavier than the dissolved Zn by about 0.5 permil in 66/64Zn, suggesting that an extracellular biologically mediated adsorption process may be involved in the formation of the Zn-silicate.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.proeps.2013.03.030","usgsCitation":"Wanty, R.B., De Giudici, G., Onnis, P., Rutherford, D., Kimball, B.A., Podda, F., Cidu, R., Lattanzi, P., and Medas, D., 2013, Formation of a low-crystalline Zn-silicate in a stream in SW Sardinia, Italy: Procedia Earth and Planetary Science, v. 7, p. 888-891, https://doi.org/10.1016/j.proeps.2013.03.030.","productDescription":"4 p.","startPage":"888","endPage":"891","ipdsId":"IP-041715","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":473388,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.proeps.2013.03.030","text":"Publisher Index Page"},{"id":343195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","state":"Sardinia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 8.0859375,\n 38.805470223177466\n ],\n [\n 9.865722656249998,\n 38.805470223177466\n ],\n [\n 9.865722656249998,\n 41.19518982948959\n ],\n [\n 8.0859375,\n 41.19518982948959\n ],\n [\n 8.0859375,\n 38.805470223177466\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595611c2e4b0d1f9f05067c1","contributors":{"authors":[{"text":"Wanty, Richard B. 0000-0002-2063-6423 rwanty@usgs.gov","orcid":"https://orcid.org/0000-0002-2063-6423","contributorId":443,"corporation":false,"usgs":true,"family":"Wanty","given":"Richard","email":"rwanty@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Giudici, G.","contributorId":147318,"corporation":false,"usgs":false,"family":"De Giudici","given":"G.","affiliations":[{"id":16820,"text":"University of Cagliari","active":true,"usgs":false}],"preferred":false,"id":702955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Onnis, P.","contributorId":194030,"corporation":false,"usgs":false,"family":"Onnis","given":"P.","affiliations":[],"preferred":false,"id":702956,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rutherford, D.","contributorId":87347,"corporation":false,"usgs":true,"family":"Rutherford","given":"D.","email":"","affiliations":[],"preferred":false,"id":702957,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kimball, B. A.","contributorId":87583,"corporation":false,"usgs":false,"family":"Kimball","given":"B.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":702958,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Podda, F.","contributorId":89074,"corporation":false,"usgs":false,"family":"Podda","given":"F.","affiliations":[],"preferred":false,"id":702959,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cidu, R.","contributorId":22708,"corporation":false,"usgs":true,"family":"Cidu","given":"R.","affiliations":[],"preferred":false,"id":702960,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lattanzi, P.","contributorId":40034,"corporation":false,"usgs":true,"family":"Lattanzi","given":"P.","affiliations":[],"preferred":false,"id":702961,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Medas, D.","contributorId":108421,"corporation":false,"usgs":true,"family":"Medas","given":"D.","affiliations":[],"preferred":false,"id":702962,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70189087,"text":"70189087 - 2013 - Trace metals in Saharan dust: The use of in vitro bioaccessibility extractions to assess potential health risks in a dustier world","interactions":[],"lastModifiedDate":"2022-12-12T23:18:26.7733","indexId":"70189087","displayToPublicDate":"2013-12-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Trace metals in Saharan dust: The use of in vitro bioaccessibility extractions to assess potential health risks in a dustier world","docAbstract":"

Exposure to fine particulate matter (PM) is acknowledged as a risk factor for human morbidity and mortality. Epidemiology and toxicology studies have focused on anthropogenic sources of PM and few consider contributions produced by natural processes (geogenic), or PM produced from natural sources as a result of human activities (geoanthropogenic PM). The focus of this study was to elucidate relationships between human/ecosystem health and dusts produced by a system transitioning from a dominantly natural to a geoanthropogenic PM source. As part of a larger study investigating the relationship between atmospheric transportation of African dust, human health, and coral reef declines, we examined dust samples sourced in Mali, Africa, collected using high-volume samplers from three sites (Mali, Tobago and U.S. Virgin Islands). Inhalation and ingestion exposure pathways were explored by filter extractions using simulated lung and gastric fluids. Bioaccessibility varied by metal and extraction fluid. Although too few samples were analyzed for robust statistics, concentrations for several metals decreased slightly while bioaccessibility increased at downwind sites.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Occurrence, fate and impact of atmospheric pollutants on environmental and human health","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Chemical Society","doi":"10.1021/bk-2013-1149.ch003","usgsCitation":"Morman, S.A., Garrison, V.H., and Plumlee, G.S., 2013, Trace metals in Saharan dust: The use of in vitro bioaccessibility extractions to assess potential health risks in a dustier world, chap. 3 of Occurrence, fate and impact of atmospheric pollutants on environmental and human health, v. 1149, p. 41-58, https://doi.org/10.1021/bk-2013-1149.ch003.","productDescription":"18 p.","startPage":"41","endPage":"58","ipdsId":"IP-043326","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343168,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1149","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-11-08","publicationStatus":"PW","scienceBaseUri":"595611c2e4b0d1f9f05067bf","contributors":{"authors":[{"text":"Morman, Suzette A. 0000-0002-2532-1033 smorman@usgs.gov","orcid":"https://orcid.org/0000-0002-2532-1033","contributorId":996,"corporation":false,"usgs":true,"family":"Morman","given":"Suzette","email":"smorman@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garrison, Virginia H. ginger_garrison@usgs.gov","contributorId":2386,"corporation":false,"usgs":true,"family":"Garrison","given":"Virginia","email":"ginger_garrison@usgs.gov","middleInitial":"H.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":702863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plumlee, Geoffrey S. 0000-0002-9607-5626 gplumlee@usgs.gov","orcid":"https://orcid.org/0000-0002-9607-5626","contributorId":960,"corporation":false,"usgs":true,"family":"Plumlee","given":"Geoffrey","email":"gplumlee@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702864,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192034,"text":"70192034 - 2013 - 4D petroleum system model of the Mississippian System in the Anadarko Basin Province, Oklahoma, Kansas, Texas, and Colorado, U.S.A.","interactions":[],"lastModifiedDate":"2018-01-08T13:10:38","indexId":"70192034","displayToPublicDate":"2013-12-31T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2789,"text":"Mountain Geologist","active":true,"publicationSubtype":{"id":10}},"title":"4D petroleum system model of the Mississippian System in the Anadarko Basin Province, Oklahoma, Kansas, Texas, and Colorado, U.S.A.","docAbstract":"

The Upper Devonian and Lower Mississippian Woodford Shale is an important petroleum source rock for Mississippian reservoirs in the Anadarko Basin Province of Oklahoma, Kansas, Texas, and Colorado, based on results from a 4D petroleum system model of the basin. The Woodford Shale underlies Mississippian strata over most of the Anadarko Basin portions of Oklahoma and northeastern Texas. The Kansas and Colorado portions of the province are almost entirely thermally immature for oil generation from the Woodford Shale or potential Mississippian source rocks, based mainly on measured vitrinite reflectance and modeled thermal maturation. Thermal maturities of the Woodford Shale range from mature for oil to overmature for gas generation at present-day depths of about 5,000 to 20,000 ft. Oil generation began at burial depths of about 6,000 to 6,500 ft. Modeled onset of Woodford Shale oil generation was about 330 million years ago (Ma); peak oil generation was from 300 to 220 Ma.

Mississippian production, including horizontal wells of the informal Mississippi limestone, is concentrated within and north of the Sooner Trend area in the northeast Oklahoma portion of the basin. This large pod of oil and gas production is within the area modeled as thermally mature for oil generation from the Woodford Shale. The southern boundary of the trend approximates the 99% transformation ratio of the Woodford Shale, which marks the end of oil generation. Because most of the Sooner Trend area is thermally mature for oil generation from the Woodford Shale, the trend probably includes short- and longer-distance vertical and lateral migration. The Woodford Shale is absent in the Mocane-Laverne Field area of the eastern Oklahoma panhandle; because of this, associated oil migrated from the south into the field. If the Springer Formation or deeper Mississippian strata generated oil, then the southern field area is within the oil window for associated petroleum source rocks. Mississippian fields along the western boundary of the study area were supplied by oil that flowed northward from the Panhandle Field area and westward from the deep basin.

","language":"English","publisher":"Rocky Mountain Association of Geologists","usgsCitation":"Higley, D.K., 2013, 4D petroleum system model of the Mississippian System in the Anadarko Basin Province, Oklahoma, Kansas, Texas, and Colorado, U.S.A.: Mountain Geologist, v. 50, no. 3, p. 81-98.","productDescription":"18 p.","startPage":"81","endPage":"98","ipdsId":"IP-044589","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":347376,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346958,"type":{"id":15,"text":"Index Page"},"url":"https://archives.datapages.com/data/mountain-geologist-rmag/data/050/050003/81_rmag-mg500081.htm"}],"country":"United States","state":"Colorado, Kansas, New Mexico, Oklahoma, Texas","otherGeospatial":"Anadarko Basin Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104,\n 34\n ],\n [\n -96.75,\n 34\n ],\n [\n -96.75,\n 40\n ],\n [\n -104,\n 40\n ],\n [\n -104,\n 34\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"50","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a2aae4b0220bbd9d9fc4","contributors":{"authors":[{"text":"Higley, Debra K. 0000-0001-8024-9954 higley@usgs.gov","orcid":"https://orcid.org/0000-0001-8024-9954","contributorId":152663,"corporation":false,"usgs":true,"family":"Higley","given":"Debra","email":"higley@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":713940,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70057594,"text":"70057594 - 2013 - Chronological history of zebra and quagga mussels (Dreissenidae) in North America, 1988-2010","interactions":[],"lastModifiedDate":"2014-01-08T11:23:15","indexId":"70057594","displayToPublicDate":"2013-12-30T16:17:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Chronological history of zebra and quagga mussels (Dreissenidae) in North America, 1988-2010","docAbstract":"An unprecedented invasion began in North America in the mid-/late-1980s when two Eurasian mussel species, Dreissena polymorpha (zebra mussel) and Dreissena rostriformis bugensis (quagga mussel), became established in Laurentian Great Lakes. It is believed that Lake Erie was the initial location of establishment for both species, and within 3 years, zebra mussels had been found in all the Great Lakes. Since 1986, the combined distribution of two dreissenids has expanded throughout the Great Lakes region and the St. Lawrence River in Canada and also in the United States from the Great Lakes to the Mississippi Basin including Arkansas, Cumberland, Illinois, Missouri, Ohio, and Tennessee river basins. The distribution of dreissenid mussels in the Atlantic drainage has been limited to the Hudson and Susquehanna rivers. In the western United States, the quagga mussel established a large population in the lower Colorado River and spread to reservoirs in Arizona, California, Colorado, Nevada, and Utah. Overall, dreissenid species have been documented in 131 river systems and 772 inland lakes, reservoirs, and impoundments in the United States.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Quagga and zebra mussels: biology, impacts, and control","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"CRC Press","doi":"10.1201/b15437-6","usgsCitation":"Benson, A.J., 2013, Chronological history of zebra and quagga mussels (Dreissenidae) in North America, 1988-2010, chap. of Quagga and zebra mussels: biology, impacts, and control, p. 9-32, https://doi.org/10.1201/b15437-6.","productDescription":"24 p.","startPage":"9","endPage":"32","ipdsId":"IP-025664","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":280713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280710,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1201/b15437-6"}],"edition":"Second","noUsgsAuthors":false,"publicationDate":"2013-10-07","publicationStatus":"PW","scienceBaseUri":"53cd5129e4b0b290850f3c1a","contributors":{"authors":[{"text":"Benson, Amy J. 0000-0002-4517-1466 abenson@usgs.gov","orcid":"https://orcid.org/0000-0002-4517-1466","contributorId":3836,"corporation":false,"usgs":true,"family":"Benson","given":"Amy","email":"abenson@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":486828,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70055519,"text":"70055519 - 2013 - Surveillance theory applied to virus detection: a case for targeted discovery","interactions":[],"lastModifiedDate":"2014-02-07T15:04:22","indexId":"70055519","displayToPublicDate":"2013-12-30T15:01:42","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1715,"text":"Future Virology","active":true,"publicationSubtype":{"id":10}},"title":"Surveillance theory applied to virus detection: a case for targeted discovery","docAbstract":"Virus detection and mathematical modeling have gone through rapid developments in the past decade. Both offer new insights into the epidemiology of infectious disease and characterization of future risk; however, modeling has not yet been applied to designing the best surveillance strategies for viral and pathogen discovery. We review recent developments and propose methods to integrate viral and pathogen discovery and mathematical modeling through optimal surveillance theory, arguing for a more targeted approach to novel virus detection guided by the principles of adaptive management and structured decision-making.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Future Virology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Future Medicine","doi":"10.2217/fvl.13.105","usgsCitation":"Bogich, T., Anthony, S.J., and Nichols, J., 2013, Surveillance theory applied to virus detection: a case for targeted discovery: Future Virology, v. 8, no. 12, p. 1201-1206, https://doi.org/10.2217/fvl.13.105.","productDescription":"6 p.","startPage":"1201","endPage":"1206","ipdsId":"IP-052119","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":282128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282127,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2217/fvl.13.105"}],"volume":"8","issue":"12","noUsgsAuthors":false,"publicationDate":"2013-11-28","publicationStatus":"PW","scienceBaseUri":"53cd7605e4b0b2908510aa20","contributors":{"authors":[{"text":"Bogich, Tiffany L.","contributorId":40891,"corporation":false,"usgs":true,"family":"Bogich","given":"Tiffany L.","affiliations":[],"preferred":false,"id":486123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anthony, Simon J.","contributorId":34387,"corporation":false,"usgs":true,"family":"Anthony","given":"Simon","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":486122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":486121,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70059790,"text":"70059790 - 2013 - Conflation and aggregation of spatial data improve predictive models for species with limited habitats: a case of the threatened yellow-billed cuckoo in Arizona, USA","interactions":[],"lastModifiedDate":"2018-09-18T16:29:07","indexId":"70059790","displayToPublicDate":"2013-12-30T14:56:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":836,"text":"Applied Geography","active":true,"publicationSubtype":{"id":10}},"title":"Conflation and aggregation of spatial data improve predictive models for species with limited habitats: a case of the threatened yellow-billed cuckoo in Arizona, USA","docAbstract":"Riparian vegetation provides important wildlife habitat in the Southwestern United States, but limited distributions and spatial complexity often leads to inaccurate representation in maps used to guide conservation. We test the use of data conflation and aggregation on multiple vegetation/land-cover maps to improve the accuracy of habitat models for the threatened western yellow-billed cuckoo (Coccyzus americanus occidentalis). We used species observations (n = 479) from a state-wide survey to develop habitat models from 1) three vegetation/land-cover maps produced at different geographic scales ranging from state to national, and 2) new aggregate maps defined by the spatial agreement of cover types, which were defined as high (agreement = all data sets), moderate (agreement ≥ 2), and low (no agreement required). Model accuracies, predicted habitat locations, and total area of predicted habitat varied considerably, illustrating the effects of input data quality on habitat predictions and resulting potential impacts on conservation planning. Habitat models based on aggregated and conflated data were more accurate and had higher model sensitivity than original vegetation/land-cover, but this accuracy came at the cost of reduced geographic extent of predicted habitat. Using the highest performing models, we assessed cuckoo habitat preference and distribution in Arizona and found that major watersheds containing high-probably habitat are fragmented by a wide swath of low-probability habitat. Focus on riparian restoration in these areas could provide more breeding habitat for the threatened cuckoo, offset potential future habitat losses in adjacent watershed, and increase regional connectivity for other threatened vertebrates that also use riparian corridors.","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeog.2013.12.003","usgsCitation":"Villarreal, M., van Riper, C., and Petrakis, R., 2013, Conflation and aggregation of spatial data improve predictive models for species with limited habitats: a case of the threatened yellow-billed cuckoo in Arizona, USA: Applied Geography, v. 47, p. 57-69, https://doi.org/10.1016/j.apgeog.2013.12.003.","productDescription":"13 p.","startPage":"57","endPage":"69","numberOfPages":"13","ipdsId":"IP-048880","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":280568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280567,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeog.2013.12.003"}],"country":"United States","state":"Arizona","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.8184,31.3322 ], [ -114.8184,37.0043 ], [ -109.0452,37.0043 ], [ -109.0452,31.3322 ], [ -114.8184,31.3322 ] ] ] } } ] }","volume":"47","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52c29607e4b040b25da903da","contributors":{"authors":[{"text":"Villarreal, Miguel L.","contributorId":107012,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel L.","affiliations":[],"preferred":false,"id":487828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Riper, Charles III 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":169488,"corporation":false,"usgs":true,"family":"van Riper","given":"Charles","suffix":"III","email":"charles_van_riper@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":487826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Petrakis, Roy E.","contributorId":46868,"corporation":false,"usgs":true,"family":"Petrakis","given":"Roy E.","affiliations":[],"preferred":false,"id":487827,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70059793,"text":"70059793 - 2013 - Advances and applications of occupancy models","interactions":[],"lastModifiedDate":"2014-12-12T14:42:58","indexId":"70059793","displayToPublicDate":"2013-12-30T14:37:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Advances and applications of occupancy models","docAbstract":"

Summary: The past decade has seen an explosion in the development and application of models aimed at estimating species occurrence and occupancy dynamics while accounting for possible non-detection or species misidentification. We discuss some recent occupancy estimation methods and the biological systems that motivated their development. Collectively, these models offer tremendous flexibility, but simultaneously place added demands on the investigator. Unlike many mark–recapture scenarios, investigators utilizing occupancy models have the ability, and responsibility, to define their sample units (i.e. sites), replicate sampling occasions, time period over which species occurrence is assumed to be static and even the criteria that constitute ‘detection’ of a target species. Subsequent biological inference and interpretation of model parameters depend on these definitions and the ability to meet model assumptions. We demonstrate the relevance of these definitions by highlighting applications from a single biological system (an amphibian–pathogen system) and discuss situations where the use of occupancy models has been criticized. Finally, we use these applications to suggest future research and model development.

","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Methods in Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/2041-210X.12100","usgsCitation":"Bailey, L., MacKenzie, D.I., and Nichols, J., 2013, Advances and applications of occupancy models: Methods in Ecology and Evolution, v. 5, no. 12, p. 1269-1279, https://doi.org/10.1111/2041-210X.12100.","productDescription":"11 p.","startPage":"1269","endPage":"1279","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050552","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":280566,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280565,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/2041-210X.12100"}],"volume":"5","issue":"12","noUsgsAuthors":false,"publicationDate":"2013-09-04","publicationStatus":"PW","scienceBaseUri":"52c295dfe4b040b25da902eb","contributors":{"authors":[{"text":"Bailey, Larissa","contributorId":86059,"corporation":false,"usgs":true,"family":"Bailey","given":"Larissa","affiliations":[],"preferred":false,"id":487831,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"MacKenzie, Darry I.","contributorId":15926,"corporation":false,"usgs":true,"family":"MacKenzie","given":"Darry","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":487830,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":487829,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70056564,"text":"sir20105070G - 2013 - Descriptive and geoenvironmental model for Co-Cu-Au deposits in metasedimentary rocks","interactions":[],"lastModifiedDate":"2022-12-12T23:19:59.000786","indexId":"sir20105070G","displayToPublicDate":"2013-12-30T13:46:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5070","chapter":"G","title":"Descriptive and geoenvironmental model for Co-Cu-Au deposits in metasedimentary rocks","docAbstract":"

Introduction

This report is a revised model for a specific type of cobalt-copper-gold (Co-Cu-Au) deposit that will be evaluated in the next U.S. Geological Survey (USGS) assessment of undiscovered mineral resources in the United States (see Ferrero and others, 2012). Emphasis is on providing an up-to-date deposit model that includes both geologic and geoenvironmental aspects. The new model presented here supersedes previous USGS models by Earhart (1986) and Evans and others (1995), which are based solely on deposits in the Blackbird mining district of central Idaho. This report is a broader synthesis of information on 19 Co-Cu-Au deposits occurring in predominantly metasedimentary successions worldwide (table 1–1) that generally share common geologic, mineralogical, and geochemical features; preliminary summary versions were presented in Slack and others (2010) and Slack and others (2011), which are superseded by this report. As defined herein, the individual Co-Cu-Au deposits are located more than 500 meters from similar deposits and contain 0.1 percent or more by weight of Co in ore or mineralized rock; some deposits included in the database lack reported average Co grades, but they contain high Co concentrations, at least locally. Most of the deposits also have high As contents, present in Co arsenide and sulfarsenide minerals. Type examples of the Co-Cu-Au deposits are those in the Blackbird district, Skuterud in Norway, and Kouvervarra and Juomasuo in Finland. Some deposits in the database have low grades for Cu (for example, NICO in Canada) or Au (for example, Lemmonlampi in Finland), but these deposits are included because their geological, mineralogical, and alteration features are similar to those of the type examples. Several deposits included in the model are partly hosted by metavolcanic or metaigneous rocks (including granite), but regionally these deposits are within metasedimentary successions; no deposits are wholly within granite or other plutonic igneous intrusions.

Despite having a lower average Co grade, the Mt. Cobalt deposit in Australia is included here because it has past Co production from higher-grade ore zones (Nisbet and others, 1983). The Black Pine deposit in the Idaho cobalt belt is included because it contains mineable Co- and Au-rich lenses within Cu-rich mineralized zones (Formation Metals, Inc., 2012). Six deposits that lack data for average Co grades are also included because each reportedly contains abundant Co (>0.1 weight percent Co), at least locally. Many of the deposits are noteworthy as possible resources of Ag, Bi, W, Ni, Y, REE, and (or) U. Detailed data on the deposits listed in table 1–1, including references, are available in appendix 1. Significantly, the grouping in this report of Co-Cu-Au deposits in metasedimentary rocks into a single model includes deposits that other workers have previously classified in different ways. For background information, a global overview of different types of Co deposits worldwide is given in Smith (2001).

Additional geologically and compositionally similar deposits are known, but have average Co grades less than 0.1 percent. Most of these deposits contain cobalt-rich pyrite and lack appreciable amounts of distinct Co sulfide and (or) sulfarsenide minerals. Such deposits are not discussed in detail in the following sections, but these deposits may be relevant to the descriptive and genetic models presented below. Examples include the Scadding Au-Co-Cu deposit in Ontario, Canada; the Vähäjoki Co-Cu-Au deposit in Finland; the Tuolugou Co-Au deposit in Qinghai Province, China; the Lala Co-Cu-UREE deposit in Sichuan Province, China; the Guelb Moghrein Cu-Au-Co deposit in Mauritania; and the Great Australia Co-Cu, Greenmount Cu-Au-Co, and Monakoff Cu-Au-Co-UAg deposits in Queensland, Australia. Detailed information on these deposits is presented in appendix 2.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Mineral deposit models for resource assessment (Scientific Investigations Report 2010-5070)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105070G","usgsCitation":"Slack, J.F., Johnson, C.A., Causey, J.D., Lund, K., Schulz, K.J., Gray, J.E., and Eppinger, R.G., 2013, Descriptive and geoenvironmental model for Co-Cu-Au deposits in metasedimentary rocks: U.S. Geological Survey Scientific Investigations Report 2010-5070, xii, 218 p., https://doi.org/10.3133/sir20105070G.","productDescription":"xii, 218 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-040230","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":280564,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20105070G.jpg"},{"id":280563,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5070/g/pdf/sir2010-5070-G.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":280562,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5070/g/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52c29608e4b040b25da903e1","contributors":{"editors":[{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":580212,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":580205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Craig A. 0000-0002-1334-2996 cjohnso@usgs.gov","orcid":"https://orcid.org/0000-0002-1334-2996","contributorId":909,"corporation":false,"usgs":true,"family":"Johnson","given":"Craig","email":"cjohnso@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":580206,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Causey, J. Douglas","contributorId":41398,"corporation":false,"usgs":true,"family":"Causey","given":"J.","email":"","middleInitial":"Douglas","affiliations":[],"preferred":false,"id":580207,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lund, Karen 0000-0002-4249-3582 klund@usgs.gov","orcid":"https://orcid.org/0000-0002-4249-3582","contributorId":1235,"corporation":false,"usgs":true,"family":"Lund","given":"Karen","email":"klund@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":580208,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schulz, Klaus J. 0000-0003-2967-4765 kschulz@usgs.gov","orcid":"https://orcid.org/0000-0003-2967-4765","contributorId":2438,"corporation":false,"usgs":true,"family":"Schulz","given":"Klaus","email":"kschulz@usgs.gov","middleInitial":"J.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":580209,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gray, John E. jgray@usgs.gov","contributorId":1275,"corporation":false,"usgs":true,"family":"Gray","given":"John","email":"jgray@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":580210,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eppinger, Robert G. eppinger@usgs.gov","contributorId":849,"corporation":false,"usgs":true,"family":"Eppinger","given":"Robert","email":"eppinger@usgs.gov","middleInitial":"G.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":580211,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70044629,"text":"ofr20121208 - 2013 - Water-quality data of lakes and wetlands in the Yukon Flats, Alaska, 2007–2009","interactions":[],"lastModifiedDate":"2014-02-19T13:09:09","indexId":"ofr20121208","displayToPublicDate":"2013-12-30T13:02:43","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1208","title":"Water-quality data of lakes and wetlands in the Yukon Flats, Alaska, 2007–2009","docAbstract":"Over a three-year period (2007–2009), in-situ measurements were taken and water-quality samples were collected from 111 lakes and wetlands located in the Yukon Flats, Alaska, during a U.S. Fish and Wildlife Service wetlands inventory. The U.S. Geological Survey performed the chemical analyses on the retrieved water-quality samples. Results from the analyses of water samples for dissolved carbon gases and carbon isotopes, hydrogen and oxygen stable isotopes, dissolved organic carbon, and major cations and anions, along with supporting site data, are presented in this report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121208","usgsCitation":"Halm, D.R., and Guldager, N., 2013, Water-quality data of lakes and wetlands in the Yukon Flats, Alaska, 2007–2009: U.S. Geological Survey Open-File Report 2012-1208, Report: v, 8 p.; Excel Table, https://doi.org/10.3133/ofr20121208.","productDescription":"Report: v, 8 p.; Excel Table","numberOfPages":"13","onlineOnly":"Y","ipdsId":"IP-037333","costCenters":[{"id":435,"text":"National Research Program - Central Region","active":false,"usgs":true}],"links":[{"id":282535,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1208/pdf/of2012-1208.pdf"},{"id":282536,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2012/1208/tables.xlsx"},{"id":282537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121208.gif"},{"id":282534,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1208/"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon Flats","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -149.553,65.4692 ], [ -149.553,67.4718 ], [ -142.4346,67.4718 ], [ -142.4346,65.4692 ], [ -149.553,65.4692 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7d2ce4b0b2908510f36e","contributors":{"authors":[{"text":"Halm, Douglas R. drhalm@usgs.gov","contributorId":1635,"corporation":false,"usgs":true,"family":"Halm","given":"Douglas","email":"drhalm@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":476040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guldager, Nikki","contributorId":101981,"corporation":false,"usgs":true,"family":"Guldager","given":"Nikki","email":"","affiliations":[],"preferred":false,"id":476041,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70058107,"text":"ds809 - 2013 - Water column and bed-sediment core samples collected from Brownlee Reservoir near Oxbow, Oregon, 2012","interactions":[],"lastModifiedDate":"2013-12-30T13:19:07","indexId":"ds809","displayToPublicDate":"2013-12-30T12:42:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"809","title":"Water column and bed-sediment core samples collected from Brownlee Reservoir near Oxbow, Oregon, 2012","docAbstract":"The U.S. Geological Survey, in cooperation with Idaho Power Company, collected water-column and bed-sediment core samples from eight sites in Brownlee Reservoir near Oxbow, Oregon, during May 5–7, 2012. Water-column and bed-sediment core samples were collected at each of the eight sites and analyzed for total mercury and methylmercury. Additional bed-sediment core samples, collected from three of the eight sites, were analyzed for pesticides and other organic compounds, trace metals, and physical characteristics, such as particle size.\n\nTotal mercury and methylmercury were detected in each of the water column and bed-sediment core samples. Only 17 of the 417 unique pesticide and organic compounds were detected in bed-sediment core samples. Concentrations of most organic wastewater compounds detected in bed sediment were less than the reporting level. Trace metals detected were greater than the reporting level in all the bed-sediment core samples submitted for analysis. The particle size distribution of bed-sediment core samples was predominantly clay mixed with silt.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds809","collaboration":"Prepared in cooperation with Idaho Power Company","usgsCitation":"Fosness, R.L., Naymik, J., Hopkins, C.B., and DeWild, J.F., 2013, Water column and bed-sediment core samples collected from Brownlee Reservoir near Oxbow, Oregon, 2012: U.S. Geological Survey Data Series 809, vi, 44 p., https://doi.org/10.3133/ds809.","productDescription":"vi, 44 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-042203","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":280560,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/809/"},{"id":280561,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds809.JPG"},{"id":280559,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/809/pdf/ds809.pdf"}],"projection":"Transverse Mercator","datum":"North American Datum of 1983","country":"United States","state":"Idaho;Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.268066,44.403618 ], [ -117.268066,44.832257 ], [ -116.906204,44.832257 ], [ -116.906204,44.403618 ], [ -117.268066,44.403618 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52c2960be4b040b25da90416","contributors":{"authors":[{"text":"Fosness, Ryan L. 0000-0003-4089-2704 rfosness@usgs.gov","orcid":"https://orcid.org/0000-0003-4089-2704","contributorId":2703,"corporation":false,"usgs":true,"family":"Fosness","given":"Ryan","email":"rfosness@usgs.gov","middleInitial":"L.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Naymik, Jesse","contributorId":58936,"corporation":false,"usgs":true,"family":"Naymik","given":"Jesse","affiliations":[],"preferred":false,"id":487009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hopkins, Candice B. 0000-0003-3207-7267 chopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-3207-7267","contributorId":1379,"corporation":false,"usgs":true,"family":"Hopkins","given":"Candice","email":"chopkins@usgs.gov","middleInitial":"B.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeWild, John F. 0000-0003-4097-2798 jfdewild@usgs.gov","orcid":"https://orcid.org/0000-0003-4097-2798","contributorId":2525,"corporation":false,"usgs":true,"family":"DeWild","given":"John","email":"jfdewild@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487007,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70059273,"text":"70059273 - 2013 - Early responses to zebra mussels in the Great Lakes: a journey from information vacuum to policy and regulation","interactions":[],"lastModifiedDate":"2014-01-08T11:45:16","indexId":"70059273","displayToPublicDate":"2013-12-30T11:36:31","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Early responses to zebra mussels in the Great Lakes: a journey from information vacuum to policy and regulation","docAbstract":"Invasive species such as zebra mussels pose a threat to the economies and environments of coastal and fresh-water habitats around the world. Consequently, it is important that government policies and programs be adequate to protect these waters from invaders. This chapter documents key events that took place in the early years (1988-1991) of zebra mussel colonization of the Laurentian Great Lakes and evaluates government responses (policies and programs) to this disruptive, invasive, freshwater species.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Quagga and zebra mussels: biology, impacts, and control","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"CRC Press","doi":"10.1201/b15437-16","usgsCitation":"Griffiths, R.W., Schloesser, D.W., and Kovalak, W.P., 2013, Early responses to zebra mussels in the Great Lakes: a journey from information vacuum to policy and regulation, chap. of Quagga and zebra mussels: biology, impacts, and control, p. 135-176, https://doi.org/10.1201/b15437-16.","productDescription":"42 p.","startPage":"135","endPage":"176","ipdsId":"IP-042015","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":280719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280718,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1201/b15437-16"}],"edition":"Second","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5608e4b0b290850f6af1","contributors":{"authors":[{"text":"Griffiths, Ronald W.","contributorId":11994,"corporation":false,"usgs":true,"family":"Griffiths","given":"Ronald","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":487550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schloesser, Don W.","contributorId":21485,"corporation":false,"usgs":true,"family":"Schloesser","given":"Don","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":487551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kovalak, William P.","contributorId":77479,"corporation":false,"usgs":true,"family":"Kovalak","given":"William","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":487552,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048988,"text":"tm7D1 - 2013 - Digital-image processing and image analysis of glacier ice","interactions":[],"lastModifiedDate":"2013-12-30T11:32:45","indexId":"tm7D1","displayToPublicDate":"2013-12-30T11:19:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"7-D1","title":"Digital-image processing and image analysis of glacier ice","docAbstract":"This document provides a methodology for extracting grain statistics from 8-bit color and grayscale images of thin sections of glacier ice—a subset of physical properties measurements typically performed on ice cores. This type of analysis is most commonly used to characterize the evolution of ice-crystal size, shape, and intercrystalline spatial relations within a large body of ice sampled by deep ice-coring projects from which paleoclimate records will be developed. However, such information is equally useful for investigating the stress state and physical responses of ice to stresses within a glacier. The methods of analysis presented here go hand-in-hand with the analysis of ice fabrics (aggregate crystal orientations) and, when combined with fabric analysis, provide a powerful method for investigating the dynamic recrystallization and deformation behaviors of bodies of ice in motion.\n\nThe procedures described in this document compose a step-by-step handbook for a specific image acquisition and data reduction system built in support of U.S. Geological Survey ice analysis projects, but the general methodology can be used with any combination of image processing and analysis software. The specific approaches in this document use the FoveaPro 4 plug-in toolset to Adobe Photoshop CS5 Extended but it can be carried out equally well, though somewhat less conveniently, with software such as the image processing toolbox in MATLAB, Image-Pro Plus, or ImageJ.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section D: Digital-image processing in Book 7 Automated Data Processing and Computations","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm7D1","collaboration":"This report is Chapter 1 of Section D: Digital-image processing in Book 7 Automated Data Processing and Computations","usgsCitation":"Fitzpatrick, J.J., 2013, Digital-image processing and image analysis of glacier ice: U.S. Geological Survey Techniques and Methods 7-D1, iv, 21 p., https://doi.org/10.3133/tm7D1.","productDescription":"iv, 21 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-042842","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":280555,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/7d1"},{"id":280557,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm7D1.jpg"},{"id":280556,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/7d1/pdf/tm7-d1.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52c29609e4b040b25da903ec","contributors":{"authors":[{"text":"Fitzpatrick, Joan J. jfitz@usgs.gov","contributorId":1416,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Joan","email":"jfitz@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":485939,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70059274,"text":"70059274 - 2013 - Quagga and zebra mussels: biology, impacts, and control","interactions":[],"lastModifiedDate":"2018-08-15T12:15:58","indexId":"70059274","displayToPublicDate":"2013-12-30T10:52:02","publicationYear":"2013","noYear":false,"publicationType":{"id":4,"text":"Book"},"title":"Quagga and zebra mussels: biology, impacts, and control","docAbstract":"

Quagga and Zebra Mussels: Biology, Impacts, and Control, Second Edition provides a broad view of the zebra/quagga mussel issue, offering a historic perspective and up-to-date information on mussel research. Comprising 48 chapters, this second edition includes reviews of mussel morphology, physiology, and behavior. It details mussel distribution and spread in Europe and across North America, and examines policy and regulatory responses, management strategies, and mitigation efforts. In addition, this book provides extensive coverage of the impact of invasive mussel species on freshwater ecosystems, including effects on water clarity, phytoplankton, water quality, food web changes, and consequences to other aquatic fauna. It also reviews and offers new insights on how zebra and quagga mussels respond and adapt to varying environmental conditions. This new edition includes seven video clips that complement chapter text and, through visual documentation, provide a greater understanding of mussel behavior and distribution.

","language":"English","publisher":"CRC Press","isbn":"9781439854365","usgsCitation":"2013, Quagga and zebra mussels: biology, impacts, and control (2), 815 p.","productDescription":"815 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049193","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":280708,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":356508,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/Quagga-and-Zebra-Mussels-Biology-Impacts-and-Control-Second-Edition/Nalepa-Schloesser/p/book/9781439854365"}],"edition":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6e92e4b0b29085105dfa","contributors":{"editors":[{"text":"Nalepa, Thomas F.","contributorId":28212,"corporation":false,"usgs":true,"family":"Nalepa","given":"Thomas F.","affiliations":[],"preferred":false,"id":509661,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Schloesser, Donald W. dschloesser@usgs.gov","contributorId":3579,"corporation":false,"usgs":true,"family":"Schloesser","given":"Donald","email":"dschloesser@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":509660,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}} ,{"id":70059773,"text":"70059773 - 2013 - Sediment quality assessment in tidal salt marshes in northern California, USA: An evaluation of multiple lines of evidence approach","interactions":[],"lastModifiedDate":"2017-05-22T15:59:44","indexId":"70059773","displayToPublicDate":"2013-12-30T10:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Sediment quality assessment in tidal salt marshes in northern California, USA: An evaluation of multiple lines of evidence approach","docAbstract":"The objective of this study was to evaluate the efficacy of integrating a traditional sediment quality triad approach with selected sublethal chronic indicators in resident species in assessing sediment quality in four salt marshes in northern California, USA. These included the highly contaminated (Stege Marsh) and relatively clean (China Camp) marshes in San Francisco Bay and two reference marshes in Tomales Bay. Toxicity potential of contaminants and benthic macroinvertebrate survey showed significant differences between contaminated and reference marshes. Sublethal responses (e.g., apoptotic DNA fragmentation, lipid accumulation, and glycogen depletion) in livers of longjaw mudsucker (Gillichthys mirabilis) and embryo abnormality in lined shore crab (Pachygrapsus crassipes) also clearly distinguished contaminated and reference marshes, while other responses (e.g., cytochrome P450, metallothionein) did not. This study demonstrates that additional chronic sublethal responses in resident species under field exposure conditions can be readily combined with sediment quality triads for an expanded multiple lines of evidence approach. This confirmatory step may be warranted in environments like salt marshes in which natural variables may affect interpretation of toxicity test data. Qualitative and quantitative integration of the portfolio of responses in resident species and traditional approach can support a more comprehensive and informative sediment quality assessment in salt marshes and possibly other habitat types as well.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.02.039","usgsCitation":"Hwang, H., Carr, R.S., Cherr, G.N., Green, P.G., Grosholz, E.G., Judah, L., Morgan, S.G., Ogle, S., Rashbrook, V.K., Rose, W.L., Teh, S.J., Vines, C.A., and Anderson, S.L., 2013, Sediment quality assessment in tidal salt marshes in northern California, USA: An evaluation of multiple lines of evidence approach: Science of the Total Environment, v. 454-455, p. 189-198, https://doi.org/10.1016/j.scitotenv.2013.02.039.","productDescription":"10 p.","startPage":"189","endPage":"198","numberOfPages":"10","ipdsId":"IP-025328","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":473394,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/1367n704","text":"External Repository"},{"id":280551,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280550,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.02.039"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.0249,37.8217 ], [ -123.0249,38.2511 ], [ -122.2174,38.2511 ], [ -122.2174,37.8217 ], [ -123.0249,37.8217 ] ] ] } } ] }","volume":"454-455","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52c2960ae4b040b25da90408","contributors":{"authors":[{"text":"Hwang, Hyun-Min","contributorId":67798,"corporation":false,"usgs":true,"family":"Hwang","given":"Hyun-Min","email":"","affiliations":[],"preferred":false,"id":487780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carr, Robert S.","contributorId":9361,"corporation":false,"usgs":true,"family":"Carr","given":"Robert","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":487772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cherr, Gary N.","contributorId":64990,"corporation":false,"usgs":true,"family":"Cherr","given":"Gary","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":487778,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Green, Peter G.","contributorId":66592,"corporation":false,"usgs":true,"family":"Green","given":"Peter","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":487779,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grosholz, Edwin G.","contributorId":13529,"corporation":false,"usgs":true,"family":"Grosholz","given":"Edwin","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":487773,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Judah, Linda","contributorId":35637,"corporation":false,"usgs":true,"family":"Judah","given":"Linda","email":"","affiliations":[],"preferred":false,"id":487776,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morgan, Steven G.","contributorId":26964,"corporation":false,"usgs":true,"family":"Morgan","given":"Steven","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":487774,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ogle, Scott","contributorId":76640,"corporation":false,"usgs":true,"family":"Ogle","given":"Scott","email":"","affiliations":[],"preferred":false,"id":487781,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rashbrook, Vanessa K.","contributorId":81008,"corporation":false,"usgs":true,"family":"Rashbrook","given":"Vanessa","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":487782,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rose, Wendy L.","contributorId":32076,"corporation":false,"usgs":true,"family":"Rose","given":"Wendy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":487775,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Teh, Swee J.","contributorId":104392,"corporation":false,"usgs":true,"family":"Teh","given":"Swee","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":487784,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Vines, Carol A.","contributorId":37634,"corporation":false,"usgs":true,"family":"Vines","given":"Carol","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":487777,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Anderson, Susan L.","contributorId":87062,"corporation":false,"usgs":true,"family":"Anderson","given":"Susan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":487783,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ]}