{"pageNumber":"650","pageRowStart":"16225","pageSize":"25","recordCount":69039,"records":[{"id":70043598,"text":"70043598 - 2012 - Shale Gas Development and Brook Trout: Scaling Best Management Practices to Anticipate Cumulative Effects","interactions":[],"lastModifiedDate":"2013-04-17T21:24:43","indexId":"70043598","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1559,"text":"Environmental Practice","active":true,"publicationSubtype":{"id":10}},"title":"Shale Gas Development and Brook Trout: Scaling Best Management Practices to Anticipate Cumulative Effects","docAbstract":"Shale gas development may involve trade-offs between energy development and benefits provided by natural ecosystems. However, current best management practices (BMPs) focus on mitigating localized ecological degradation. We review evidence for cumulative effects of natural gas development on brook trout (Salvelinus fontinalis) and conclude that BMPs should account for potential watershed-scale effects in addition to localized influences. The challenge is to develop BMPs in the face of uncertainty in the predicted response of brook trout to landscape-scale disturbance caused by gas extraction. We propose a decision-analysis approach to formulating BMPs in the specific case of relatively undisturbed watersheds where there is consensus to maintain brook trout populations during gas development. The decision analysis was informed by existing empirical models that describe brook trout occupancy responses to landscape disturbance and set bounds on the uncertainty in the predicted responses to shale gas development. The decision analysis showed that a high efficiency of gas development (e.g., 1 well pad per square mile and 7 acres per pad) was critical to achieving a win-win solution characterized by maintaining brook trout and maximizing extraction of available gas. This finding was invariant to uncertainty in predicted response of brook trout to watershed-level disturbance. However, as the efficiency of gas development decreased, the optimal BMP depended on the predicted response, and there was considerable potential value in discriminating among predictive models through adaptive management or research. The proposed decision-analysis framework provides an opportunity to anticipate the cumulative effects of shale gas development, account for uncertainty, and inform management decisions at the appropriate spatial scales.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Practice","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cambridge","doi":"10.1017/S1466046612000397","usgsCitation":"Smith, D., Snyder, C.D., Hitt, N.P., Young, J.A., and Faulkner, S.P., 2012, Shale Gas Development and Brook Trout: Scaling Best Management Practices to Anticipate Cumulative Effects: Environmental Practice, v. 14, no. 4, p. 366-381, https://doi.org/10.1017/S1466046612000397.","startPage":"366","endPage":"381","ipdsId":"IP-040882","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":271045,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1017/S1466046612000397"},{"id":271046,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"14","issue":"4","noUsgsAuthors":false,"publicationDate":"2017-01-03","publicationStatus":"PW","scienceBaseUri":"516fc467e4b05024ef3cd41c","contributors":{"authors":[{"text":"Smith, David 0000-0001-6074-9257","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":1989,"corporation":false,"usgs":false,"family":"Smith","given":"David","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":473939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snyder, Craig D. 0000-0002-3448-597X csnyder@usgs.gov","orcid":"https://orcid.org/0000-0002-3448-597X","contributorId":2568,"corporation":false,"usgs":true,"family":"Snyder","given":"Craig","email":"csnyder@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473940,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568 nhitt@usgs.gov","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":4435,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"nhitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473941,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Faulkner, Stephen P. 0000-0001-5295-1383 faulkners@usgs.gov","orcid":"https://orcid.org/0000-0001-5295-1383","contributorId":374,"corporation":false,"usgs":true,"family":"Faulkner","given":"Stephen","email":"faulkners@usgs.gov","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":473938,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70043697,"text":"70043697 - 2012 - Annual accumulation over the Greenland ice sheet interpolated from historical and newly compiled observation data","interactions":[],"lastModifiedDate":"2013-04-08T20:39:43","indexId":"70043697","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1768,"text":"Geografiska Annaler, Series A: Physical Geography","active":true,"publicationSubtype":{"id":10}},"title":"Annual accumulation over the Greenland ice sheet interpolated from historical and newly compiled observation data","docAbstract":"The estimation of ice/snow accumulation is of great significance in quantifying the mass balance of ice sheets and variation in water resources. Improving the accuracy and reducing uncertainty has been a challenge for the estimation of annual accumulation over the Greenland ice sheet. In this study, we kriged and analyzed the spatial pattern of accumulation based on an observation data series including 315 points used in a recent research, plus 101 ice cores and snow pits and newly compiled 23 coastal weather station data. The estimated annual accumulation over the Greenland ice sheet is 31.2 g cm<sup>−2</sup> yr<sup>−1</sup>, with a standard error of 0.9 g cm<sup>−2</sup> yr<sup>−1</sup>. The main differences between the improved map developed in this study and the recently published accumulation maps are in the coastal areas, especially southeast and southwest regions. The analysis of accumulations versus elevation reveals the distribution patterns of accumulation over the Greenland ice sheet.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geografiska Annaler, Series A: Physical Geography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1468-0459.2012.00458.x","usgsCitation":"Shen, D., Liu, Y., and Huang, S., 2012, Annual accumulation over the Greenland ice sheet interpolated from historical and newly compiled observation data: Geografiska Annaler, Series A: Physical Geography, v. 94, no. 3, p. 377-393, https://doi.org/10.1111/j.1468-0459.2012.00458.x.","productDescription":"17 p.","startPage":"377","endPage":"393","ipdsId":"IP-031311","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":270676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270675,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1468-0459.2012.00458.x"}],"country":"Greenland","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.0,59.8 ], [ -73.0,83.6 ], [ -11.3,83.6 ], [ -11.3,59.8 ], [ -73.0,59.8 ] ] ] } } ] }","volume":"94","issue":"3","noUsgsAuthors":false,"publicationDate":"2016-11-15","publicationStatus":"PW","scienceBaseUri":"5163e6e7e4b0b7010f820164","contributors":{"authors":[{"text":"Shen, Dayong","contributorId":71079,"corporation":false,"usgs":true,"family":"Shen","given":"Dayong","email":"","affiliations":[],"preferred":false,"id":474117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Yuling","contributorId":96171,"corporation":false,"usgs":true,"family":"Liu","given":"Yuling","email":"","affiliations":[],"preferred":false,"id":474118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huang, Shengli shuang@usgs.gov","contributorId":1926,"corporation":false,"usgs":true,"family":"Huang","given":"Shengli","email":"shuang@usgs.gov","affiliations":[],"preferred":true,"id":474116,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043701,"text":"70043701 - 2012 - Early indications of soil recovery from acidic deposition in U.S. red spruce forests","interactions":[],"lastModifiedDate":"2013-05-07T09:37:29","indexId":"70043701","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3420,"text":"Soil Science Society of America Journal","active":true,"publicationSubtype":{"id":10}},"title":"Early indications of soil recovery from acidic deposition in U.S. red spruce forests","docAbstract":"Forty to fifty percent decreases in acidic deposition through the 1980s and 1990s led to partial recovery of acidified surface waters in the northeastern United States; however, the limited number of studies that have assessed soil change found increased soil acidification during this period. From existing data, it's not clear whether soils continued to worsen in the 1990s or if recovery had begun. To evaluate possible changes in soils through the 1990s, soils in six red spruce (Picea rubens Sarg.) stands in New York, Vermont, New Hampshire, and Maine, first sampled in 1992 to 1993, were resampled in 2003 to 2004. The Oa-horizon pH increased (P < 0.01) at three sites, was marginally higher (P < 0.1) at one site, and lower (P < 0.05) at the New York site. Total C concentrations in Oa horizons decreased (P < 0.05) at sites where the pH increased, but the cause is uncertain. Exchangeable Al concentrations in Oa horizons decreased (P < 0.05) 20 to 40% at all sites except New York, which showed no change. The Al decrease can be attributed to decreased deposition of SO<sub>4</sub><sup>2−</sup>, which decreased the mobility of Al throughout the upper soil profile. Results indicate a nascent recovery driven largely by vegetation processes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Soil Science Society of America Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Soil Science Society of America","doi":"10.2136/sssaj2011.0415","usgsCitation":"Lawrence, G.B., Shortle, W.C., David, M.B., Smith, K.T., Warby, R.A., and Lapenis, A.G., 2012, Early indications of soil recovery from acidic deposition in U.S. red spruce forests: Soil Science Society of America Journal, v. 76, no. 4, p. 1407-1417, https://doi.org/10.2136/sssaj2011.0415.","productDescription":"11 p.","startPage":"1407","endPage":"1417","ipdsId":"IP-034293","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":271913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271911,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2136/sssaj2011.0415"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,71.4 ], [ -66.9,71.4 ], [ -66.9,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","volume":"76","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518a2264e4b061e1bd533371","contributors":{"authors":[{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":474119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shortle, Walter C.","contributorId":64130,"corporation":false,"usgs":true,"family":"Shortle","given":"Walter","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":474122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"David, Mark B.","contributorId":43255,"corporation":false,"usgs":false,"family":"David","given":"Mark","email":"","middleInitial":"B.","affiliations":[{"id":35161,"text":"University of Illinois, Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":474120,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Kevin T.","contributorId":58512,"corporation":false,"usgs":true,"family":"Smith","given":"Kevin","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":474121,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warby, Richard A.F.","contributorId":94950,"corporation":false,"usgs":true,"family":"Warby","given":"Richard","email":"","middleInitial":"A.F.","affiliations":[],"preferred":false,"id":474123,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lapenis, Andrei G.","contributorId":96985,"corporation":false,"usgs":true,"family":"Lapenis","given":"Andrei","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":474124,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70043898,"text":"70043898 - 2012 - Frictional properties of saponite-rich gouge from a serpentinite-bearing fault zone along the Gokasho-Arashima Tectonic Line, central Japan","interactions":[],"lastModifiedDate":"2013-05-28T09:19:37","indexId":"70043898","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2468,"text":"Journal of Structural Geology","active":true,"publicationSubtype":{"id":10}},"title":"Frictional properties of saponite-rich gouge from a serpentinite-bearing fault zone along the Gokasho-Arashima Tectonic Line, central Japan","docAbstract":"We studied a serpentinite-bearing fault zone in Gokasho-Arashima Tectonic Line, Mie Prefecture, central Japan, characterizing its internal structures, mineral assemblage, permeability, and frictional properties. The fault core situated between the serpentinite breccia and the adjacent sedimentary rocks is characterized by a zone locally altered to saponite. The clayey gouge layer separates fault rocks of serpentinite origin containing talc and tremolite from fault rocks of sedimentary origin containing chlorite but no quartz. The minerals that formed within the fault are the products of metasomatic reaction between the serpentinite and the siliceous rocks. Permeability measurements show that serpentinite breccia and fault gouge have permeability of 10<sup>−14</sup>–10<sup>−17</sup> m<sup>2</sup> and 10<sup>−15</sup>–10<sup>−18</sup> m<sup>2</sup>, respectively, at 5–120 MPa confining pressure. Frictional coefficient of the saponite-rich clayey fault gouge ranged between 0.20 and 0.35 under room-dry condition, but was reduced to 0.06–0.12 when saturated with water. The velocity dependence of friction was strongly positive, mostly ranging between 0.005 and 0.006 in terms of a–b values. The governing friction law is not constrained yet, but we find that the saponite-rich gouge possesses an evolutional behavior in the opposite direction to that suggested by the rate and state friction law, in addition to its direct velocity dependence.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Structural Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jsg.2011.09.007","usgsCitation":"Sone, H., Shimamoto, T., and Moore, D.E., 2012, Frictional properties of saponite-rich gouge from a serpentinite-bearing fault zone along the Gokasho-Arashima Tectonic Line, central Japan: Journal of Structural Geology, v. 38, p. 172-182, https://doi.org/10.1016/j.jsg.2011.09.007.","productDescription":"11 p.","startPage":"172","endPage":"182","ipdsId":"IP-031446","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":272843,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272842,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jsg.2011.09.007"}],"country":"Japan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 122.59,23.28 ], [ 122.59,45.75 ], [ 154.21,45.75 ], [ 154.21,23.28 ], [ 122.59,23.28 ] ] ] } } ] }","volume":"38","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a5d1e7e4b0605bc571efa5","contributors":{"authors":[{"text":"Sone, Hiroki","contributorId":82207,"corporation":false,"usgs":true,"family":"Sone","given":"Hiroki","email":"","affiliations":[],"preferred":false,"id":474426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shimamoto, Toshihiko","contributorId":60524,"corporation":false,"usgs":true,"family":"Shimamoto","given":"Toshihiko","email":"","affiliations":[],"preferred":false,"id":474425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Diane E. 0000-0002-8641-1075 dmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-8641-1075","contributorId":2704,"corporation":false,"usgs":true,"family":"Moore","given":"Diane","email":"dmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":474424,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044028,"text":"70044028 - 2012 - Minimum distribution of subsea ice-bearing permafrost on the US Beaufort Sea continental shelf","interactions":[],"lastModifiedDate":"2013-06-27T10:39:50","indexId":"70044028","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Minimum distribution of subsea ice-bearing permafrost on the US Beaufort Sea continental shelf","docAbstract":"Starting in Late Pleistocene time (~19 ka), sea level rise inundated coastal zones worldwide. On some parts of the present-day circum-Arctic continental shelf, this led to flooding and thawing of formerly subaerial permafrost and probable dissociation of associated gas hydrates. Relict permafrost has never been systematically mapped along the 700-km-long U.S. Beaufort Sea continental shelf and is often assumed to extend to ~120 m water depth, the approximate amount of sea level rise since the Late Pleistocene. Here, 5,000 km of multichannel seismic (MCS) data acquired between 1977 and 1992 were examined for high-velocity (>2.3 km s<sup>−1</sup>) refractions consistent with ice-bearing, coarse-grained sediments. Permafrost refractions were identified along <5% of the tracklines at depths of ~5 to 470 m below the seafloor. The resulting map reveals the minimum extent of subsea ice-bearing permafrost, which does not extend seaward of 30 km offshore or beyond the 20 m isobath.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1029/2012GL052222","usgsCitation":"Brothers, L., Hart, P.E., and Ruppel, C., 2012, Minimum distribution of subsea ice-bearing permafrost on the US Beaufort Sea continental shelf: Geophysical Research Letters, v. 39, no. 15, L15501, https://doi.org/10.1029/2012GL052222.","productDescription":"L15501","ipdsId":"IP-035632","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474144,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/5375","text":"External Repository"},{"id":274270,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274269,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012GL052222"}],"otherGeospatial":"Beaufort Sea","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.1,66.3 ], [ -156.1,74.7 ], [ -104.0,74.7 ], [ -104.0,66.3 ], [ -156.1,66.3 ] ] ] } } ] }","volume":"39","issue":"15","noUsgsAuthors":false,"publicationDate":"2012-08-07","publicationStatus":"PW","scienceBaseUri":"51cd5ee2e4b0e7a904971bd2","contributors":{"authors":[{"text":"Brothers, Laura L.","contributorId":96132,"corporation":false,"usgs":true,"family":"Brothers","given":"Laura L.","affiliations":[],"preferred":false,"id":474662,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":474661,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruppel, Carolyn D.","contributorId":102322,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn D.","affiliations":[],"preferred":false,"id":474663,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044034,"text":"70044034 - 2012 - Estimating occupancy in large landscapes: evaluation of amphibian monitoring in the greater Yellowstone ecosystem","interactions":[],"lastModifiedDate":"2013-05-12T21:54:41","indexId":"70044034","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Estimating occupancy in large landscapes: evaluation of amphibian monitoring in the greater Yellowstone ecosystem","docAbstract":"Monitoring of natural resources is crucial to ecosystem conservation, and yet it can pose many challenges. Annual surveys for amphibian breeding occupancy were conducted in Yellowstone and Grand Teton National Parks over a 4-year period (2006–2009) at two scales: catchments (portions of watersheds) and individual wetland sites. Catchments were selected in a stratified random sample with habitat quality and ease of access serving as strata. All known wetland sites with suitable habitat were surveyed within selected catchments. Changes in breeding occurrence of tiger salamanders, boreal chorus frogs, and Columbia-spotted frogs were assessed using multi-season occupancy estimation. Numerous a priori models were considered within an information theoretic framework including those with catchment and site-level covariates. Habitat quality was the most important predictor of occupancy. Boreal chorus frogs demonstrated the greatest increase in breeding occupancy at the catchment level. Larger changes for all 3 species were detected at the finer site-level scale. Connectivity of sites explained occupancy rates more than other covariates, and may improve understanding of the dynamic processes occurring among wetlands within this ecosystem. Our results suggest monitoring occupancy at two spatial scales within large study areas is feasible and informative.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s13157-012-0273-0","usgsCitation":"Gould, W., Patla, D.A., Daley, R., Corn, P., Hossack, B.R., Bennetts, R.E., and Peterson, C.R., 2012, Estimating occupancy in large landscapes: evaluation of amphibian monitoring in the greater Yellowstone ecosystem: Wetlands, v. 32, no. 2, p. 379-389, https://doi.org/10.1007/s13157-012-0273-0.","productDescription":"11 p.","startPage":"379","endPage":"389","ipdsId":"IP-032982","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":272193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272192,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-012-0273-0"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park;Grand Teton National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.16,43.54 ], [ -111.16,45.11 ], [ -109.83,45.11 ], [ -109.83,43.54 ], [ -111.16,43.54 ] ] ] } } ] }","volume":"32","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-02-09","publicationStatus":"PW","scienceBaseUri":"5190b9e0e4b05ebc8f7cc33c","contributors":{"authors":[{"text":"Gould, William R.","contributorId":63780,"corporation":false,"usgs":true,"family":"Gould","given":"William R.","affiliations":[],"preferred":false,"id":474680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patla, Debra A.","contributorId":40059,"corporation":false,"usgs":true,"family":"Patla","given":"Debra","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":474678,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daley, Rob","contributorId":14282,"corporation":false,"usgs":true,"family":"Daley","given":"Rob","affiliations":[],"preferred":false,"id":474677,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Corn, Paul Stephen 0000-0002-4106-6335","orcid":"https://orcid.org/0000-0002-4106-6335","contributorId":107379,"corporation":false,"usgs":true,"family":"Corn","given":"Paul Stephen","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":474682,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":474676,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bennetts, Robert E.","contributorId":62508,"corporation":false,"usgs":true,"family":"Bennetts","given":"Robert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":474679,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Peterson, Charles R.","contributorId":95738,"corporation":false,"usgs":true,"family":"Peterson","given":"Charles","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":474681,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70044166,"text":"70044166 - 2012 - Calcareous nannofossil assemblage changes across the Paleocene-Eocene thermal maximum: Evidence from a shelf setting","interactions":[],"lastModifiedDate":"2016-04-25T12:30:56","indexId":"70044166","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2673,"text":"Marine Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"Calcareous nannofossil assemblage changes across the Paleocene-Eocene thermal maximum: Evidence from a shelf setting","docAbstract":"<p><span>Biotic response of calcareous nannoplankton to abrupt warming across the Paleocene/Eocene boundary reflects a primary response to climatically induced parameters including increased continental runoff of freshwater, global acidification of seawater, high sedimentation rates, and calcareous nannoplankton assemblage turnover. We identify ecophenotypic nannofossil species adapted to low pH conditions (</span><i>Discoaster anartios, D. araneus, Rhomboaster</i><span>&nbsp;spp.), excursion taxa adapted to the extremely warm climatic conditions (</span><i>Bomolithus supremus</i><span>&nbsp;and&nbsp;</span><i>Coccolithus bownii</i><span>), three species of the genus&nbsp;</span><i>Toweius</i><span>&nbsp;(</span><i>T. serotinus, T. callosus, T. occultatus</i><span>) adapted to warm, rather than cool, water conditions, opportunists adapted to high productivity conditions (</span><i>Coronocyclus bramlettei, Neochiastozygus junctus</i><span>), and species adapted to oligotropic and/or cool‐water conditions that went into refugium during the PETM (</span><i>Zygrablithus bijugatus, Calcidiscus? parvicrucis</i><span>&nbsp;and&nbsp;</span><i>Chiasmolithus bidens</i><span>).&nbsp;</span><i>Discoaster anartios</i><span>&nbsp;was adapted to meso- to eutrophic, rather than oligotrophic, conditions. Comparison of these data to previous work on sediments deposited on shelf settings suggests that local conditions such as high precipitation rates and possible increase in major storms such as hurricanes resulted in increased continental runoff and high sedimentation rates that affected assemblage response to the PETM.</span></p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.marmicro.2012.05.003","usgsCitation":"Self-Trail, J.M., Powars, D.S., Watkins, D.K., and Wandless, G.A., 2012, Calcareous nannofossil assemblage changes across the Paleocene-Eocene thermal maximum: Evidence from a shelf setting: Marine Micropaleontology, v. 92-93, p. 61-80, https://doi.org/10.1016/j.marmicro.2012.05.003.","productDescription":"20 p.","startPage":"61","endPage":"80","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033754","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":271290,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92-93","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5173b8e1e4b0e619a5806eae","contributors":{"authors":[{"text":"Self-Trail, Jean M. jstrail@usgs.gov","contributorId":2205,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","middleInitial":"M.","affiliations":[{"id":596,"text":"U.S. Geological Survey National Center","active":false,"usgs":true}],"preferred":false,"id":474960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powars, David S. 0000-0002-6787-8964 dspowars@usgs.gov","orcid":"https://orcid.org/0000-0002-6787-8964","contributorId":1181,"corporation":false,"usgs":true,"family":"Powars","given":"David","email":"dspowars@usgs.gov","middleInitial":"S.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":474959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watkins, David K.","contributorId":91385,"corporation":false,"usgs":true,"family":"Watkins","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":474962,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wandless, Gregory A. gwandless@usgs.gov","contributorId":4782,"corporation":false,"usgs":true,"family":"Wandless","given":"Gregory","email":"gwandless@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":474961,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044181,"text":"70044181 - 2012 - Kinetics of uncatalyzed thermochemical sulfate reduction by sulfur-free paraffin","interactions":[],"lastModifiedDate":"2013-06-18T15:26:00","indexId":"70044181","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Kinetics of uncatalyzed thermochemical sulfate reduction by sulfur-free paraffin","docAbstract":"To determine kinetic parameters of sulfate reduction by hydrocarbons (HC) without the initial presence of low valence sulfur, we carried out a series of isothermal gold-tube hydrous-pyrolysis experiments at 320, 340, and 360 °C under a constant confined pressure of 24.1 MPa. The reactants used consisted of saturated HC (sulfur-free) and CaSO<sub>4</sub> in an aqueous solution buffered to three different pH conditions without the addition of elemental sulfur (S<sub>8</sub>) or H<sub>2</sub>S as initiators. H<sub>2</sub>S produced in the course of reaction was proportional to the extent of the reduction of CaSO<sub>4</sub> that was initially the only sulfur-containing reactant. Our results show that the in situ pH of the aqueous solution (herein, in situ pH refers to the calculated pH value of the aqueous solution at certain experimental conditions) can significantly affect the rate of the thermochemical sulfate reduction (TSR) reaction. A substantial increase in the TSR reaction rate was observed with a decrease in the in situ pH.\n\nOur experimental results show that uncatalyzed TSR is a first-order reaction. The temperature dependence of experimentally measured H<sub>2</sub>S yields from sulfate reduction was fit with the Arrhenius equation. The determined activation energy for HC (sulfur-free) reacting with View the MathML sourceHSO<sub>4</sub><sup>−</sup> in our experiments is 246.6 kJ/mol at pH values ranging from 3.0 to 3.5, which is slightly higher than the theoretical value of 227.0 kJ/mol using ab initio quantum chemical calculations on a similar reaction. Although the availability of reactive sulfate significantly affects the rate of reaction, a consistent rate constant was determined by accounting for the HSO<sub>4</sub><sup>−</sup> ion concentration. Our experimental and theoretical approach to the determination of the kinetics of TSR is further validated by a reevaluation of several published experimental TSR datasets without the initial presence of native sulfur or H<sub>2</sub>S. When the effect of reactive sulfate concentration is appropriately accounted for, the published experimental TSR data yield kinetic parameters that are consistent with our values. Assuming MgSO<sub>4</sub> contact-ion-pair ([MgSO<sub>4</sub>]CIP) as the reactive form of sulfate in petroleum reservoir formation waters, a simple extrapolation of our experimentally derived HSO<sub>4</sub><sup>−</sup> reduction kinetics as a proxy for [MgSO<sub>4</sub>]CIP to geologically reasonable conditions predicts onset temperatures (130–140 °C) that are comparable to those observed in nature.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochimica et Cosmochimica Acta","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2012.08.010","usgsCitation":"Zhang, T., Ellis, G.S., Ma, Q., Amrani, A., and Tang, Y., 2012, Kinetics of uncatalyzed thermochemical sulfate reduction by sulfur-free paraffin: Geochimica et Cosmochimica Acta, v. 96, p. 1-17, https://doi.org/10.1016/j.gca.2012.08.010.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-033954","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":273953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273952,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gca.2012.08.010"}],"volume":"96","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c18167e4b0dd0e00d921db","contributors":{"authors":[{"text":"Zhang, Tongwei","contributorId":107595,"corporation":false,"usgs":true,"family":"Zhang","given":"Tongwei","affiliations":[],"preferred":false,"id":475034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":475030,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ma, Qisheng","contributorId":35219,"corporation":false,"usgs":true,"family":"Ma","given":"Qisheng","email":"","affiliations":[],"preferred":false,"id":475031,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amrani, Alon","contributorId":49258,"corporation":false,"usgs":true,"family":"Amrani","given":"Alon","email":"","affiliations":[],"preferred":false,"id":475032,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tang, Yongchun","contributorId":103166,"corporation":false,"usgs":true,"family":"Tang","given":"Yongchun","affiliations":[],"preferred":false,"id":475033,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044191,"text":"70044191 - 2012 - Antarctic and Southern Ocean influences on Late Pliocene global cooling","interactions":[],"lastModifiedDate":"2013-04-08T22:04:09","indexId":"70044191","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Antarctic and Southern Ocean influences on Late Pliocene global cooling","docAbstract":"The influence of Antarctica and the Southern Ocean on Late Pliocene global climate reconstructions has remained ambiguous due to a lack of well-dated Antarctic-proximal, paleoenvironmental records. Here we present ice sheet, sea-surface temperature, and sea ice reconstructions from the ANDRILL AND-1B sediment core recovered from beneath the Ross Ice Shelf. We provide evidence for a major expansion of an ice sheet in the Ross Sea that began at ~3.3 Ma, followed by a coastal sea surface temperature cooling of ~2.5 °C, a stepwise expansion of sea ice, and polynya-style deep mixing in the Ross Sea between 3.3 and 2.5 Ma. The intensification of Antarctic cooling resulted in strengthened westerly winds and invigorated ocean circulation. The associated northward migration of Southern Ocean fronts has been linked with reduced Atlantic Meridional Overturning Circulation by restricting surface water connectivity between the ocean basins, with implications for heat transport to the high latitudes of the North Atlantic. While our results do not exclude low-latitude mechanisms as drivers for Pliocene cooling, they indicate an additional role played by southern high-latitude cooling during development of the bipolar world.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PNAS","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"National Academy of Sciences","publisherLocation":"Washington, D.C.","doi":"10.1073/pnas.1112248109","usgsCitation":"McKay, R., Naish, T., Carter, L., Riesselman, C., Dunbar, R., Sjunneskog, C., Winter, D., Sangiorgi, F., Warren, C., Pagani, M., Schouten, S., Willmott, V., Levy, R., DeConto, R., and Powell, R.D., 2012, Antarctic and Southern Ocean influences on Late Pliocene global cooling: PNAS, v. 109, no. 17, p. 6423-6428, https://doi.org/10.1073/pnas.1112248109.","productDescription":"6 p.","startPage":"6423","endPage":"6428","ipdsId":"IP-032213","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":474135,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://europepmc.org/articles/pmc3340021","text":"External Repository"},{"id":270678,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270677,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1073/pnas.1112248109"}],"volume":"109","issue":"17","noUsgsAuthors":false,"publicationDate":"2012-04-11","publicationStatus":"PW","scienceBaseUri":"5163e6e8e4b0b7010f820168","contributors":{"authors":[{"text":"McKay, Robert","contributorId":9546,"corporation":false,"usgs":true,"family":"McKay","given":"Robert","affiliations":[],"preferred":false,"id":475060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Naish, Tim","contributorId":62900,"corporation":false,"usgs":true,"family":"Naish","given":"Tim","email":"","affiliations":[],"preferred":false,"id":475066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, Lionel","contributorId":9937,"corporation":false,"usgs":true,"family":"Carter","given":"Lionel","affiliations":[],"preferred":false,"id":475061,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Riesselman, Christina 0000-0002-2436-4306 criesselman@usgs.gov","orcid":"https://orcid.org/0000-0002-2436-4306","contributorId":4290,"corporation":false,"usgs":true,"family":"Riesselman","given":"Christina","email":"criesselman@usgs.gov","affiliations":[],"preferred":true,"id":475059,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dunbar, Robert","contributorId":11090,"corporation":false,"usgs":true,"family":"Dunbar","given":"Robert","email":"","affiliations":[],"preferred":false,"id":475062,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sjunneskog, Charlotte","contributorId":102765,"corporation":false,"usgs":true,"family":"Sjunneskog","given":"Charlotte","email":"","affiliations":[],"preferred":false,"id":475072,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Winter, Diane","contributorId":79377,"corporation":false,"usgs":true,"family":"Winter","given":"Diane","email":"","affiliations":[],"preferred":false,"id":475067,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sangiorgi, Francesca","contributorId":108238,"corporation":false,"usgs":true,"family":"Sangiorgi","given":"Francesca","affiliations":[],"preferred":false,"id":475073,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Warren, Courtney","contributorId":27334,"corporation":false,"usgs":true,"family":"Warren","given":"Courtney","email":"","affiliations":[],"preferred":false,"id":475064,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pagani, Mark","contributorId":92136,"corporation":false,"usgs":true,"family":"Pagani","given":"Mark","email":"","affiliations":[],"preferred":false,"id":475070,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schouten, Stefan","contributorId":84888,"corporation":false,"usgs":true,"family":"Schouten","given":"Stefan","affiliations":[],"preferred":false,"id":475068,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Willmott, Veronica","contributorId":58533,"corporation":false,"usgs":true,"family":"Willmott","given":"Veronica","email":"","affiliations":[],"preferred":false,"id":475065,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Levy, Richard","contributorId":96980,"corporation":false,"usgs":true,"family":"Levy","given":"Richard","email":"","affiliations":[],"preferred":false,"id":475071,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"DeConto, Robert","contributorId":17893,"corporation":false,"usgs":true,"family":"DeConto","given":"Robert","email":"","affiliations":[],"preferred":false,"id":475063,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Powell, Ross D.","contributorId":89768,"corporation":false,"usgs":true,"family":"Powell","given":"Ross","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":475069,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70044270,"text":"70044270 - 2012 - Deep Arctic Ocean warming during the last glacial cycle","interactions":[],"lastModifiedDate":"2013-04-23T13:14:56","indexId":"70044270","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Deep Arctic Ocean warming during the last glacial cycle","docAbstract":"In the Arctic Ocean, the cold and relatively fresh water beneath the sea ice is separated from the underlying warmer and saltier Atlantic Layer by a halocline. Ongoing sea ice loss and warming in the Arctic Ocean have demonstrated the instability of the halocline, with implications for further sea ice loss. The stability of the halocline through past climate variations is unclear. Here we estimate intermediate water temperatures over the past 50,000 years from the Mg/Ca and Sr/Ca values of ostracods from 31 Arctic sediment cores. From about 50 to 11 kyr ago, the central Arctic Basin from 1,000 to 2,500 m was occupied by a water mass we call Glacial Arctic Intermediate Water. This water mass was 1–2 °C warmer than modern Arctic Intermediate Water, with temperatures peaking during or just before millennial-scale Heinrich cold events and the Younger Dryas cold interval. We use numerical modelling to show that the intermediate depth warming could result from the expected decrease in the flux of fresh water to the Arctic Ocean during glacial conditions, which would cause the halocline to deepen and push the warm Atlantic Layer into intermediate depths. Although not modelled, the reduced formation of cold, deep waters due to the exposure of the Arctic continental shelf could also contribute to the intermediate depth warming.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature Geoscience","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nature Publishing Group","doi":"10.1038/ngeo1557","usgsCitation":"Cronin, T.M., Dwyer, G.S., Farmer, J., Bauch, H., Spielhagen, R., Jakobsson, M., Nilsson, J., Briggs, W.M., and Stepanova, A., 2012, Deep Arctic Ocean warming during the last glacial cycle: Nature Geoscience, v. 5, p. 631-634, https://doi.org/10.1038/ngeo1557.","productDescription":"4 p.","startPage":"631","endPage":"634","ipdsId":"IP-034585","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":488125,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.7916/d83777bd","text":"External Repository"},{"id":271398,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271397,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/ngeo1557"}],"otherGeospatial":"Arctic Ocean","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,70.0 ], [ -180.0,90.0 ], [ 180.0,90.0 ], [ 180.0,70.0 ], [ -180.0,70.0 ] ] ] } } ] }","volume":"5","noUsgsAuthors":false,"publicationDate":"2012-08-26","publicationStatus":"PW","scienceBaseUri":"5177ad64e4b095699adf274d","contributors":{"authors":[{"text":"Cronin, T. M. 0000-0002-2643-0979","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":42613,"corporation":false,"usgs":true,"family":"Cronin","given":"T.","email":"","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":false,"id":475217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dwyer, G. S.","contributorId":39951,"corporation":false,"usgs":true,"family":"Dwyer","given":"G.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":475216,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farmer, J.","contributorId":26419,"corporation":false,"usgs":true,"family":"Farmer","given":"J.","email":"","affiliations":[],"preferred":false,"id":475215,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bauch, H.A.","contributorId":46860,"corporation":false,"usgs":true,"family":"Bauch","given":"H.A.","email":"","affiliations":[],"preferred":false,"id":475218,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spielhagen, R.F.","contributorId":97797,"corporation":false,"usgs":true,"family":"Spielhagen","given":"R.F.","email":"","affiliations":[],"preferred":false,"id":475222,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jakobsson, M.","contributorId":86970,"corporation":false,"usgs":true,"family":"Jakobsson","given":"M.","email":"","affiliations":[],"preferred":false,"id":475221,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nilsson, J.","contributorId":97798,"corporation":false,"usgs":true,"family":"Nilsson","given":"J.","email":"","affiliations":[],"preferred":false,"id":475223,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Briggs, W. M. Jr.","contributorId":60249,"corporation":false,"usgs":true,"family":"Briggs","given":"W.","suffix":"Jr.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":475219,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stepanova, A.","contributorId":69441,"corporation":false,"usgs":true,"family":"Stepanova","given":"A.","email":"","affiliations":[],"preferred":false,"id":475220,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70044357,"text":"70044357 - 2012 - Physical controls and predictability of stream hyporheic flow evaluated with a multiscale model","interactions":[],"lastModifiedDate":"2013-04-09T14:54:58","indexId":"70044357","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Physical controls and predictability of stream hyporheic flow evaluated with a multiscale model","docAbstract":"Improved predictions of hyporheic exchange based on easily measured physical variables are needed to improve assessment of solute transport and reaction processes in watersheds. Here we compare physically based model predictions for an Indiana stream with stream tracer results interpreted using the Transient Storage Model (TSM). We parameterized the physically based, Multiscale Model (MSM) of stream-groundwater interactions with measured stream planform and discharge, stream velocity, streambed hydraulic conductivity and porosity, and topography of the streambed at distinct spatial scales (i.e., ripple, bar, and reach scales). We predicted hyporheic exchange fluxes and hyporheic residence times using the MSM. A Continuous Time Random Walk (CTRW) model was used to convert the MSM output into predictions of in stream solute transport, which we compared with field observations and TSM parameters obtained by fitting solute transport data. MSM simulations indicated that surface-subsurface exchange through smaller topographic features such as ripples was much faster than exchange through larger topographic features such as bars. However, hyporheic exchange varies nonlinearly with groundwater discharge owing to interactions between flows induced at different topographic scales. MSM simulations showed that groundwater discharge significantly decreased both the volume of water entering the subsurface and the time it spent in the subsurface. The MSM also characterized longer timescales of exchange than were observed by the tracer-injection approach. The tracer data, and corresponding TSM fits, were limited by tracer measurement sensitivity and uncertainty in estimates of background tracer concentrations. Our results indicate that rates and patterns of hyporheic exchange are strongly influenced by a continuum of surface-subsurface hydrologic interactions over a wide range of spatial and temporal scales rather than discrete processes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1029/2011WR011582","usgsCitation":"Stonedahl, S.H., Harvey, J.W., Detty, J., Aubeneau, A., and Packman, A., 2012, Physical controls and predictability of stream hyporheic flow evaluated with a multiscale model: Water Resources Research, v. 48, no. 10, W10513, https://doi.org/10.1029/2011WR011582.","productDescription":"W10513","ipdsId":"IP-040699","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":474129,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr011582","text":"Publisher Index Page"},{"id":270711,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011WR011582"},{"id":270712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"10","noUsgsAuthors":false,"publicationDate":"2012-10-06","publicationStatus":"PW","scienceBaseUri":"51653871e4b077fa94dae00c","contributors":{"authors":[{"text":"Stonedahl, Susa H.","contributorId":66145,"corporation":false,"usgs":true,"family":"Stonedahl","given":"Susa","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":475365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Detty, Joel","contributorId":12347,"corporation":false,"usgs":true,"family":"Detty","given":"Joel","email":"","affiliations":[],"preferred":false,"id":475362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aubeneau, Antoine","contributorId":44057,"corporation":false,"usgs":true,"family":"Aubeneau","given":"Antoine","email":"","affiliations":[],"preferred":false,"id":475364,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Packman, Aaron I.","contributorId":15092,"corporation":false,"usgs":true,"family":"Packman","given":"Aaron I.","affiliations":[],"preferred":false,"id":475363,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044395,"text":"70044395 - 2012 - Strontium","interactions":[],"lastModifiedDate":"2013-05-06T13:21:50","indexId":"70044395","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Strontium","docAbstract":"In 2011, U.S. apparent consumption of strontium (contained in celestite and manufactured strontium compounds) increased markedly to 18.4 kt (20,300 st) from 10.4 kt (11,500 st) in 2010. Gross weight of imports was 34.4 kt (38,000 st), of which 76 percent originated from Mexico.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2012, Strontium: Mining Engineering, v. 64, no. 6, p. 91-91.","productDescription":"1 p.","startPage":"91","endPage":"91","ipdsId":"IP-037363","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":271893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"64","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5188d4e5e4b023d2d75b9a91","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535450,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044403,"text":"70044403 - 2012 - Thresholds of flow-induced bed disturbances and their effects on stream metabolism in an agricultural river","interactions":[],"lastModifiedDate":"2013-04-09T15:56:10","indexId":"70044403","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Thresholds of flow-induced bed disturbances and their effects on stream metabolism in an agricultural river","docAbstract":"Storm-driven flow pulses in rivers destroy and restructure sediment habitats that affect stream metabolism. This study examined thresholds of bed disturbances that affected patch- and reach-scale sediment conditions and metabolism rates. A 4 year record of discharge and diel changes in dissolved oxygen concentrations (ΔDO) was analyzed for disturbances and recovery periods of the ΔDO signal. Disturbances to the ΔDO signal were associated with flow pulses, and the recovery times for the ΔDO signal were found to be in two categories: less than 5 days (30% of the disturbances) or greater than 15 days (70% of the disturbances). A field study was performed during the fall of 2007, which included a storm event that increased discharge from 3.1 to 6.9 m<sup>3</sup>/s over a 7 h period. During stable flow conditions before the storm, variability in patch-scale stream metabolism values were associated with sediment texture classes with values ranging from −16.4 to 2.3 g O<sub>2</sub></m<sup>2</sup>/d (negative sign indicates net respiration) that bounded the reach-averaged rate of −5.6 g O<sub>2</sub></m<sup>2</sup>/d. Hydraulic modeling of bed shear stresses demonstrated a storm-induced flow pulse mobilized approximately 25% of the bed and reach-scale metabolism rates shifted from −5 to −40 g O<sub>2</sub></m<sup>2</sup>/d. These results suggest that storm-induced bed disturbances led to threshold behavior with respect to stream metabolism. Small flow pulses resulted in partial-bed mobilization that disrupted stream metabolism by increased turbidity with short recovery times. Large flow pulses resulted in full-bed mobilization that disrupted stream metabolism by destroying periphyton habitats with long recovery times.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","publisherLocation":"Washington, D.C.","doi":"10.1029/2011WR011488","usgsCitation":"O’Connor, B.L., Harvey, J.W., and McPhillips, L.E., 2012, Thresholds of flow-induced bed disturbances and their effects on stream metabolism in an agricultural river: Water Resources Research, v. 48, no. 8, W08504, https://doi.org/10.1029/2011WR011488.","productDescription":"W08504","ipdsId":"IP-037433","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":474128,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr011488","text":"Publisher Index Page"},{"id":270728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270727,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011WR011488"}],"volume":"48","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-08-04","publicationStatus":"PW","scienceBaseUri":"51653873e4b077fa94dae026","contributors":{"authors":[{"text":"O’Connor, Ben L.","contributorId":38872,"corporation":false,"usgs":false,"family":"O’Connor","given":"Ben","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":475520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McPhillips, Lauren E.","contributorId":15491,"corporation":false,"usgs":true,"family":"McPhillips","given":"Lauren","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":475519,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044410,"text":"70044410 - 2012 - Resolving hyporheic and groundwater components of streambed water flux","interactions":[],"lastModifiedDate":"2013-04-09T15:25:50","indexId":"70044410","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Resolving hyporheic and groundwater components of streambed water flux","docAbstract":"Hyporheic and groundwater fluxes typically occur together in permeable sediments beneath flowing stream water. However, streambed water fluxes quantified using the thermal method are usually interpreted as representing either groundwater or hyporheic fluxes. Our purpose was to improve understanding of co-occurring groundwater and hyporheic fluxes using streambed temperature measurements and analysis of one-dimensional heat transport in shallow streambeds. First, we examined how changes in hyporheic and groundwater fluxes affect their relative magnitudes by reevaluating previously published simulations. These indicated that flux magnitudes are largely independent until a threshold is crossed, past which hyporheic fluxes are diminished by much larger (1000-fold) groundwater fluxes. We tested accurate quantification of co-occurring fluxes using one-dimensional approaches that are appropriate for analyzing streambed temperature data collected at field sites. The thermal analytical method, which uses an analytical solution to the one-dimensional heat transport equation, was used to analyze results from a numerical heat transport model, in which hyporheic flow was represented as increased thermal dispersion at shallow depths. We found that co-occurring groundwater and hyporheic fluxes can be quantified in streambeds, although not always accurately. For example, using a temperature time series collected in a sandy streambed, we found that hyporheic and groundwater flow could both be detected when thermal dispersion due to hyporheic flow was significant compared to thermal conduction. We provide guidance for when thermal data can be used to quantify both hyporheic and groundwater fluxes, and we show that neglecting thermal dispersion may affect accuracy and interpretation of estimated streambed water fluxes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","publisherLocation":"Washington, D.C.","doi":"10.1029/2011WR011784","usgsCitation":"Bhaskar, A., Harvey, J.W., and Henry, E.J., 2012, Resolving hyporheic and groundwater components of streambed water flux: Water Resources Research, v. 48, no. 8, W08524, https://doi.org/10.1029/2011WR011784.","productDescription":"W08524","ipdsId":"IP-039262","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":474130,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr011784","text":"Publisher Index Page"},{"id":270719,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011WR011784"},{"id":270721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-08-29","publicationStatus":"PW","scienceBaseUri":"51653872e4b077fa94dae017","contributors":{"authors":[{"text":"Bhaskar, Aditi S.","contributorId":62488,"corporation":false,"usgs":true,"family":"Bhaskar","given":"Aditi S.","affiliations":[],"preferred":false,"id":475539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475537,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henry, Eric J.","contributorId":44810,"corporation":false,"usgs":true,"family":"Henry","given":"Eric","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":475538,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044449,"text":"70044449 - 2012 - Assessing California groundwater susceptibility using trace concentrations of halogenated volatile organic compounds","interactions":[],"lastModifiedDate":"2013-04-14T13:45:14","indexId":"70044449","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Assessing California groundwater susceptibility using trace concentrations of halogenated volatile organic compounds","docAbstract":"Twenty-four halogenated volatile organic compounds (hVOCs) and SF<sub>6</sub> were measured in groundwater samples collected from 312 wells across California at concentrations as low as 10<sup>–12</sup> grams per kilogram groundwater. The hVOCs detected are predominately anthropogenic (i.e., “ahVOCs”) and as such their distribution delineates where groundwaters are impacted and susceptible to human activity. ahVOC detections were broadly consistent with air-saturated water concentrations in equilibrium with a combination of industrial-era global and regional hVOC atmospheric abundances. However, detection of ahVOCs in nearly all of the samples collected, including ancient groundwaters, suggests the presence of a sampling or analytical artifact that confounds interpretation of the very-low concentration ahVOC data. To increase our confidence in ahVOC detections we establish screening levels based on ahVOC concentrations in deep wells drawing ancient groundwater in Owens Valley. Concentrations of ahVOCs below the Owens Valley screening levels account for a large number of the detections in prenuclear groundwater across California without significant loss of ahVOC detections in shallow, recently recharged groundwaters. Over 80% of the groundwaters in this study contain at least one ahVOC after screening, indicating that the footprint of human industry is nearly ubiquitous and that most California groundwaters are vulnerable to contamination from land-surface activities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS Publications","publisherLocation":"Washington, D.C.","doi":"10.1021/es303546b","usgsCitation":"Deeds, D.A., Kulongoski, J., and Belitz, K., 2012, Assessing California groundwater susceptibility using trace concentrations of halogenated volatile organic compounds: Environmental Science & Technology, v. 46, no. 24, p. 13128-13135, https://doi.org/10.1021/es303546b.","productDescription":"8 p.","startPage":"13128","endPage":"13135","ipdsId":"IP-040240","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":270881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270880,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es303546b"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.4,32.5 ], [ -124.4,42.0 ], [ -114.1,42.0 ], [ -114.1,32.5 ], [ -124.4,32.5 ] ] ] } } ] }","volume":"46","issue":"24","noUsgsAuthors":false,"publicationDate":"2012-11-29","publicationStatus":"PW","scienceBaseUri":"516bcfe9e4b0eae401aec237","contributors":{"authors":[{"text":"Deeds, Daniel A. ddeeds@usgs.gov","contributorId":83003,"corporation":false,"usgs":true,"family":"Deeds","given":"Daniel","email":"ddeeds@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":475635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":94750,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin T.","affiliations":[],"preferred":false,"id":475636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475634,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044506,"text":"70044506 - 2012 - Temporal evolution of stable water isotopologues in cloud droplets in a hill cap cloud in central Europe (HCCT-2010)","interactions":[],"lastModifiedDate":"2013-04-09T15:40:48","indexId":"70044506","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":922,"text":"Atmospheric Chemistry and Physics","active":true,"publicationSubtype":{"id":10}},"title":"Temporal evolution of stable water isotopologues in cloud droplets in a hill cap cloud in central Europe (HCCT-2010)","docAbstract":"In this work, we present the first study resolving the temporal evolution of δ<sup>2</sup>H and δ<sup>18</sup>O values in cloud droplets during 13 different cloud events. The cloud events were probed on a 937 m high mountain chain in Germany in the framework of the Hill Cap Cloud Thuringia 2010 campaign (HCCT-2010) in September and October 2010. The δ values of cloud droplets ranged from −77‰ to −15‰ (δ<sup>2</sup>H) and from −12.1‰ to −3.9‰ (δ<sup>18</sup>O) over the whole campaign. The cloud water line of the measured δ values was δ<sup>2</sup>H=7.8×δ<sup>18</sup>O+13×10−3, which is of similar slope, but with higher deuterium excess than other Central European Meteoric Water Lines. Decreasing δ values in the course of the campaign agree with seasonal trends observed in rain in central Europe. The deuterium excess was higher in clouds developing after recent precipitation revealing episodes of regional moisture recycling. The variations in δ values during one cloud event could either result from changes in meteorological conditions during condensation or from variations in the δ values of the water vapor feeding the cloud. To test which of both aspects dominated during the investigated cloud events, we modeled the variation in δ values in cloud water using a closed box model. We could show that the variation in δ values of two cloud events was mainly due to changes in local temperature conditions. For the other eleven cloud events, the variation was most likely caused by changes in the isotopic composition of the advected and entrained vapor. Frontal passages during two of the latter cloud events led to the strongest temporal changes in both δ<sup>2</sup>H (≈ 6‰ per hour) and δ<sup>18</sup>O (≈ 0.6‰ per hour). Moreover, a detailed trajectory analysis for the two longest cloud events revealed that variations in the entrained vapor were most likely related to rain out or changes in relative humidity and temperature at the moisture source region or both. This study illustrates the sensitivity of stable isotope composition of cloud water to changes in large scale air mass properties and regional recycling of moisture.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Atmospheric Chemistry and Physics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geosciences Union","publisherLocation":"Munich, Germany","doi":"10.5194/acp-12-11679-2012","usgsCitation":"Spiegel, J., Aemisegger, F., Scholl, M., Wienhold, F., Collett, J., Lee, T., van Pinxteren, D., Mertes, S., Tilgner, A., Herrmann, H., Werner, R., Buchmann, N., and Eugster, W., 2012, Temporal evolution of stable water isotopologues in cloud droplets in a hill cap cloud in central Europe (HCCT-2010): Atmospheric Chemistry and Physics, v. 12, no. 23, p. 11679-11694, https://doi.org/10.5194/acp-12-11679-2012.","productDescription":"16 p.","startPage":"11679","endPage":"11694","ipdsId":"IP-042392","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":474159,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/acp-12-11679-2012","text":"Publisher Index Page"},{"id":270722,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/acp-12-11679-2012"},{"id":270723,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Europe","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -28.0,33.9 ], [ -28.0,72.5 ], [ 74.1,72.5 ], [ 74.1,33.9 ], [ -28.0,33.9 ] ] ] } } ] }","volume":"12","issue":"23","noUsgsAuthors":false,"publicationDate":"2012-12-06","publicationStatus":"PW","scienceBaseUri":"51653872e4b077fa94dae01e","contributors":{"authors":[{"text":"Spiegel, J.K.","contributorId":6738,"corporation":false,"usgs":true,"family":"Spiegel","given":"J.K.","email":"","affiliations":[],"preferred":false,"id":475761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aemisegger, F.","contributorId":105614,"corporation":false,"usgs":true,"family":"Aemisegger","given":"F.","email":"","affiliations":[],"preferred":false,"id":475773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scholl, M.","contributorId":32385,"corporation":false,"usgs":true,"family":"Scholl","given":"M.","affiliations":[],"preferred":false,"id":475767,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wienhold, F.G.","contributorId":11489,"corporation":false,"usgs":true,"family":"Wienhold","given":"F.G.","email":"","affiliations":[],"preferred":false,"id":475762,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collett, J.L. 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,{"id":70044594,"text":"wdr2012 - 2012 - Water-resources data for the United States: water year 2012","interactions":[],"lastModifiedDate":"2016-08-23T13:29:26","indexId":"wdr2012","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":340,"text":"Water Data Report","code":"WDR","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2012","title":"Water-resources data for the United States: water year 2012","docAbstract":"<p>Water resources data are published annually for use by engineers, scientists, managers, educators, and the general public. These archival products supplement direct access to current and historical water data provided by NWISWeb. 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,{"id":70044783,"text":"70044783 - 2012 - Estimating risks to aquatic life using quantile regression","interactions":[],"lastModifiedDate":"2013-06-21T14:19:06","indexId":"70044783","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Estimating risks to aquatic life using quantile regression","docAbstract":"One of the primary goals of biological assessment is to assess whether contaminants or other stressors limit the ecological potential of running waters. It is important to interpret responses to contaminants relative to other environmental factors, but necessity or convenience limit quantification of all factors that influence ecological potential. In these situations, the concept of limiting factors is useful for data interpretation. We used quantile regression to measure risks to aquatic life exposed to metals by including all regression quantiles (τ  =  0.05–0.95, by increments of 0.05), not just the upper limit of density (e.g., 90<sup>th</sup> quantile). We measured population densities (individuals/0.1 m<sup>2</sup>) of 2 mayflies (Rhithrogena spp., Drunella spp.) and a caddisfly (Arctopsyche grandis), aqueous metal mixtures (Cd, Cu, Zn), and other limiting factors (basin area, site elevation, discharge, temperature) at 125 streams in Colorado. We used a model selection procedure to test which factor was most limiting to density. Arctopsyche grandis was limited by other factors, whereas metals limited most quantiles of density for the 2 mayflies. Metals reduced mayfly densities most at sites where other factors were not limiting. Where other factors were limiting, low mayfly densities were observed despite metal concentrations. Metals affected mayfly densities most at quantiles above the mean and not just at the upper limit of density. Risk models developed from quantile regression showed that mayfly densities observed at background metal concentrations are improbable when metal mixtures are at US Environmental Protection Agency criterion continuous concentrations. We conclude that metals limit potential density, not realized average density. The most obvious effects on mayfly populations were at upper quantiles and not mean density. Therefore, we suggest that policy developed from mean-based measures of effects may not be as useful as policy based on the concept of limiting factors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Society for Freshwater Science","doi":"10.1899/11-133.1","usgsCitation":"Schmidt, T., Clements, W.H., and Cade, B.S., 2012, Estimating risks to aquatic life using quantile regression: Freshwater Science, v. 31, no. 3, p. 709-723, https://doi.org/10.1899/11-133.1.","productDescription":"15 p.","startPage":"709","endPage":"723","ipdsId":"IP-017391","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":274071,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274070,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1899/11-133.1"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.06,36.99 ], [ -109.06,41.0 ], [ -102.04,41.0 ], [ -102.04,36.99 ], [ -109.06,36.99 ] ] ] } } ] }","volume":"31","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c59e33e4b0c89b8f120e27","contributors":{"authors":[{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clements, William H.","contributorId":39504,"corporation":false,"usgs":true,"family":"Clements","given":"William","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":476309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cade, Brian S. 0000-0001-9623-9849 cadeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9623-9849","contributorId":1278,"corporation":false,"usgs":true,"family":"Cade","given":"Brian","email":"cadeb@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":476307,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044797,"text":"70044797 - 2012 - Geologic processes influence the effects of mining on aquatic ecosystems","interactions":[],"lastModifiedDate":"2013-06-20T12:00:12","indexId":"70044797","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Geologic processes influence the effects of mining on aquatic ecosystems","docAbstract":"Geologic processes strongly influence water and sediment quality in aquatic ecosystems but rarely are geologic principles incorporated into routine biomonitoring studies. We test if elevated concentrations of metals in water and sediment are restricted to streams downstream of mines or areas that may discharge mine wastes. We surveyed 198 catchments classified as “historically mined” or “unmined,” and based on mineral-deposit criteria, to determine whether water and sediment quality were influenced by naturally occurring mineralized rock, by historical mining, or by a combination of both. By accounting for different geologic sources of metals to the environment, we were able to distinguish aquatic ecosystems limited by metals derived from natural processes from those due to mining. Elevated concentrations of metals in water and sediment were not restricted to mined catchments; depauperate aquatic communities were found in unmined catchments. The type and intensity of hydrothermal alteration and the mineral deposit type were important determinants of water and sediment quality as well as the aquatic community in both mined and unmined catchments. This study distinguished the effects of different rock types and geologic sources of metals on ecosystems by incorporating basic geologic processes into reference and baseline site selection, resulting in a refined assessment. Our results indicate that biomonitoring studies should account for natural sources of metals in some geologic environments as contributors to the effect of mines on aquatic ecosystems, recognizing that in mining-impacted drainages there may have been high pre-mining background metal concentrations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ESA","doi":"10.1890/11-0806.1","usgsCitation":"Schmidt, T., Clements, W.H., Wanty, R.B., Verplanck, P.L., Church, S.E., San Juan, C.A., Fey, D.L., Rockwell, B.W., DeWitt, E.H., and Klein, T.L., 2012, Geologic processes influence the effects of mining on aquatic ecosystems: Ecological Applications, v. 22, no. 3, p. 870-879, https://doi.org/10.1890/11-0806.1.","productDescription":"10 p.","startPage":"870","endPage":"879","ipdsId":"IP-017393","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":274030,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274029,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-0806.1"}],"volume":"22","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c42460e4b03c77dce65a48","contributors":{"authors":[{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clements, William H.","contributorId":39504,"corporation":false,"usgs":true,"family":"Clements","given":"William","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":476339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":476330,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476332,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Church, Stan E. schurch@usgs.gov","contributorId":803,"corporation":false,"usgs":true,"family":"Church","given":"Stan","email":"schurch@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":false,"id":476333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"San Juan, Carma A. 0000-0002-9151-1919 csanjuan@usgs.gov","orcid":"https://orcid.org/0000-0002-9151-1919","contributorId":1146,"corporation":false,"usgs":true,"family":"San Juan","given":"Carma","email":"csanjuan@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":476334,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fey, David L. dfey@usgs.gov","contributorId":713,"corporation":false,"usgs":true,"family":"Fey","given":"David","email":"dfey@usgs.gov","middleInitial":"L.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":476331,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rockwell, Barnaby W. 0000-0002-9549-0617 barnabyr@usgs.gov","orcid":"https://orcid.org/0000-0002-9549-0617","contributorId":2195,"corporation":false,"usgs":true,"family":"Rockwell","given":"Barnaby","email":"barnabyr@usgs.gov","middleInitial":"W.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476337,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"DeWitt, Ed H.","contributorId":16543,"corporation":false,"usgs":true,"family":"DeWitt","given":"Ed","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":476338,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Klein, Terry L. tklein@usgs.gov","contributorId":1244,"corporation":false,"usgs":true,"family":"Klein","given":"Terry","email":"tklein@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476335,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70044954,"text":"70044954 - 2012 - An exploration hydrogeochemical study at the giant Pebble porphyry Cu-Au-Mo deposit, Alaska, USA, using high-resolution ICP-MS","interactions":[],"lastModifiedDate":"2020-09-14T15:15:26.279372","indexId":"70044954","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1758,"text":"Geochemistry: Exploration, Environment, Analysis","active":true,"publicationSubtype":{"id":10}},"title":"An exploration hydrogeochemical study at the giant Pebble porphyry Cu-Au-Mo deposit, Alaska, USA, using high-resolution ICP-MS","docAbstract":"A hydrogeochemical study using high resolution ICP-MS was undertaken at the giant Pebble porphyry Cu-Au-Mo deposit and surrounding mineral occurrences. Surface water and groundwater samples from regional background and the deposit area were collected at 168 sites. Rigorous quality control reveals impressive results at low nanogram per litre (ng/l) levels. Sites with pH values below 5.1 are from ponds in the Pebble West area, where sulphide-bearing rubble crop is thinly covered. Relative to other study area waters, anomalous concentrations of Cu, Cd, K, Ni, Re, the REE, Tl, SO<sub>4</sub><sup>2−</sup> and F<sup>−</sup> are present in water samples from Pebble West. Samples from circum-neutral waters at Pebble East and parts of Pebble West, where cover is much thicker, have anomalous concentrations of Ag, As, In, Mn, Mo, Sb, Th, U, V, and W. Low-level anomalous concentrations for most of these elements were also found in waters surrounding nearby porphyry and skarn mineral occurrences. Many of these elements are present in low ng/l concentration ranges and would not have been detected using traditional quadrupole ICP-MS. Hydrogeochemical exploration paired with high resolution ICP-MS is a powerful new tool in the search for concealed deposits.","language":"English","publisher":"Geological Society of London","publisherLocation":"Washington, D.C.","doi":"10.1144/1467-7873/11-RA-070","usgsCitation":"Eppinger, R.G., Fey, D.L., Giles, S.A., Kelley, K., and Smith, S.M., 2012, An exploration hydrogeochemical study at the giant Pebble porphyry Cu-Au-Mo deposit, Alaska, USA, using high-resolution ICP-MS: Geochemistry: Exploration, Environment, Analysis, v. 12, no. 3, p. 211-226, https://doi.org/10.1144/1467-7873/11-RA-070.","productDescription":"16 p.","startPage":"211","endPage":"226","ipdsId":"IP-029509","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":270652,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Pebble","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.533203125,\n              59.70655581142613\n            ],\n            [\n              -154.8193359375,\n              59.70655581142613\n            ],\n            [\n              -154.8193359375,\n              60.343260013555195\n            ],\n            [\n              -156.533203125,\n              60.343260013555195\n            ],\n            [\n              -156.533203125,\n              59.70655581142613\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5163e6e3e4b0b7010f82014e","contributors":{"authors":[{"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":476506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fey, David L. dfey@usgs.gov","contributorId":713,"corporation":false,"usgs":true,"family":"Fey","given":"David","email":"dfey@usgs.gov","middleInitial":"L.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":476505,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Giles, Stuart A. 0000-0002-8696-5078 sgiles@usgs.gov","orcid":"https://orcid.org/0000-0002-8696-5078","contributorId":1233,"corporation":false,"usgs":true,"family":"Giles","given":"Stuart","email":"sgiles@usgs.gov","middleInitial":"A.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476507,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelley, Karen D. 0000-0002-3232-5809","orcid":"https://orcid.org/0000-0002-3232-5809","contributorId":57817,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen D.","affiliations":[],"preferred":false,"id":476509,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Steven M. 0000-0003-3591-5377 smsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-3591-5377","contributorId":1460,"corporation":false,"usgs":true,"family":"Smith","given":"Steven","email":"smsmith@usgs.gov","middleInitial":"M.","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":476508,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044977,"text":"70044977 - 2012 - Avian botulism and avian chlamydiosis in wild water birds, Benton Lake National Wildlife Refuge, Montana, USA","interactions":[],"lastModifiedDate":"2023-10-24T10:52:06.744119","indexId":"70044977","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2514,"text":"Journal of Zoo and Wildlife Medicine","active":true,"publicationSubtype":{"id":10}},"title":"Avian botulism and avian chlamydiosis in wild water birds, Benton Lake National Wildlife Refuge, Montana, USA","docAbstract":"<p>In 1999, the U.S. Geological Survey (USGS) National Wildlife Health Center, Madison, Wisconsin, conducted a diagnostic investigation into a water bird mortality event involving intoxication with avian botulism type C and infection with avian chlamydiosis at the Benton Lake National Wildlife Refuge in Montana, USA. Of 24 carcasses necropsied, 11 had lesions consistent with avian chlamydiosis, including two that tested positive for infectious Chlamydophila psittaci, and 12 were positive for avian botulism type C. One bird tested positive for both avian botulism type C and C. psittaci. Of 61 apparently healthy water birds sampled and released, 13 had serologic evidence of C. psittaci infection and 7 were, at the time of capture, shedding infectious C. psittaci via the cloacal or oropharyngeal route. Since more routinely diagnosed disease conditions may mask avian chlamydiosis, these findings support the need for a comprehensive diagnostic investigation when determining the cause of a wildlife mortality event.</p>","language":"English","publisher":"American Association of Zoo Veterinarians","doi":"10.1638/2011-0200R1.1","usgsCitation":"Docherty, D., Franson, J., Brannian, R.E., Long, R.R., Radi, C.A., Krueger, D., and Johnson, R., 2012, Avian botulism and avian chlamydiosis in wild water birds, Benton Lake National Wildlife Refuge, Montana, USA: Journal of Zoo and Wildlife Medicine, v. 43, no. 4, p. 885-888, https://doi.org/10.1638/2011-0200R1.1.","productDescription":"4 p.","startPage":"885","endPage":"888","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-023215","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":270766,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Benton Lake National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.41132354736328,\n              47.7289324467281\n            ],\n            [\n              -111.41372680664061,\n              47.638790988904766\n            ],\n            [\n              -111.37115478515625,\n              47.63902232004572\n            ],\n            [\n              -111.36909484863281,\n              47.62328946917188\n            ],\n            [\n              -111.27983093261719,\n              47.623752267682875\n            ],\n            [\n              -111.2691879272461,\n              47.64179821384579\n            ],\n            [\n              -111.27777099609375,\n              47.72685401498223\n            ],\n            [\n              -111.41132354736328,\n              47.7289324467281\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51653869e4b077fa94dadf94","contributors":{"authors":[{"text":"Docherty, Douglas E.","contributorId":58245,"corporation":false,"usgs":true,"family":"Docherty","given":"Douglas E.","affiliations":[],"preferred":false,"id":476552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Franson, J. Christian 0000-0002-0251-4238","orcid":"https://orcid.org/0000-0002-0251-4238","contributorId":95002,"corporation":false,"usgs":true,"family":"Franson","given":"J. Christian","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":476554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brannian, Roger E.","contributorId":107231,"corporation":false,"usgs":true,"family":"Brannian","given":"Roger","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":476556,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Long, Renee R.","contributorId":13943,"corporation":false,"usgs":true,"family":"Long","given":"Renee","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":476550,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Radi, Craig A.","contributorId":37618,"corporation":false,"usgs":true,"family":"Radi","given":"Craig","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":476551,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Krueger, David","contributorId":106776,"corporation":false,"usgs":true,"family":"Krueger","given":"David","email":"","affiliations":[],"preferred":false,"id":476555,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Robert F.","contributorId":92691,"corporation":false,"usgs":true,"family":"Johnson","given":"Robert F.","affiliations":[],"preferred":false,"id":476553,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70045125,"text":"70045125 - 2012 - Effects of climate change and population growth on the transboundary Santa Cruz aquifer","interactions":[],"lastModifiedDate":"2013-06-10T15:07:08","indexId":"70045125","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1249,"text":"Climate Research","active":true,"publicationSubtype":{"id":10}},"title":"Effects of climate change and population growth on the transboundary Santa Cruz aquifer","docAbstract":"The USA and Mexico have initiated comprehensive assessment of 4 of the 18 aquifers underlying their 3000 km border. Binational management of groundwater is not currently proposed. University and agency researchers plus USA and Mexican federal, state, and local agency staff have collaboratively identified key challenges facing the Santa Cruz River Valley Aquifer located between the states of Arizona and Sonora. The aquifer is subject to recharge variability, which is compounded by climate change, and is experiencing growing urban demand for groundwater. In this paper, we briefly review past, current, and projected pressures on Santa Cruz groundwater. We undertake first-order approximation of the relative magnitude of climate change and human demand drivers on the Santa Cruz water balance. Global circulation model output for emissions scenarios A1B, B1, and A2 present mixed trends, with annual precipitation projected to vary by ±20% over the 21st century. Results of our analysis indicate that urban water use will experience greater percentage change than climate-induced recharge (which remains the largest single component of the water balance). In the Mexican portion of the Santa Cruz, up to half of future total water demand will need to be met from non-aquifer sources. In the absence of water importation and with agricultural water use and rights increasingly appropriated for urban demand, wastewater is increasingly seen as a resource to meet urban demand. We consider decision making on both sides of the border and conclude by identifying short- and longer-term opportunities for further binational collaboration on transboundary aquifer assessment.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Climate Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Inter-Research","doi":"10.3354/cr01061","usgsCitation":"Scott, C.A., Megdal, S., Oroz, L.A., Callegary, J., and Vandervoet, P., 2012, Effects of climate change and population growth on the transboundary Santa Cruz aquifer: Climate Research, v. 51, no. 2, p. 159-170, https://doi.org/10.3354/cr01061.","productDescription":"12 p.","startPage":"159","endPage":"170","ipdsId":"IP-013552","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":474143,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/cr01061","text":"Publisher Index Page"},{"id":273562,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273560,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/cr01061"}],"country":"United States;Mexico","otherGeospatial":"Santa Cruz Aquifer","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.5,31.0 ], [ -111.5,32.0 ], [ -110.0,32.0 ], [ -110.0,31.0 ], [ -111.5,31.0 ] ] ] } } ] }","volume":"51","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6f566e4b0097a7158e5a6","contributors":{"authors":[{"text":"Scott, Christopher A.","contributorId":31664,"corporation":false,"usgs":true,"family":"Scott","given":"Christopher","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":476878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Megdal, Sharon","contributorId":55721,"corporation":false,"usgs":true,"family":"Megdal","given":"Sharon","affiliations":[],"preferred":false,"id":476879,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oroz, Lucas Antonio","contributorId":12763,"corporation":false,"usgs":true,"family":"Oroz","given":"Lucas","email":"","middleInitial":"Antonio","affiliations":[],"preferred":false,"id":476877,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Callegary, James","contributorId":62558,"corporation":false,"usgs":true,"family":"Callegary","given":"James","affiliations":[],"preferred":false,"id":476880,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vandervoet, Prescott","contributorId":85932,"corporation":false,"usgs":true,"family":"Vandervoet","given":"Prescott","email":"","affiliations":[],"preferred":false,"id":476881,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045424,"text":"70045424 - 2012 - Sequential development of platform to off-platform facies of the great American carbonate bank in the central Appalachians","interactions":[],"lastModifiedDate":"2020-09-22T13:22:26.630338","indexId":"70045424","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":606,"text":"AAPG Memoir","active":true,"publicationSubtype":{"id":10}},"chapter":"15","title":"Sequential development of platform to off-platform facies of the great American carbonate bank in the central Appalachians","docAbstract":"<p>In the central Appalachians, carbonate deposition of the great American carbonate bank began during the Early Cambrian with the creation of initial ramp facies of the Vintage Formation and lower members of the Tomstown Formation. Vertical stacking of bioturbated subtidal ramp deposits (Bolivar Heights Member) and dolomitized microbial boundtsone (Fort Duncan Member) preceded the initiation of platform sedimentation and creation of sand shoal facies (Benevola Member) that was followed by the development of peritidal&nbsp;cyclicity (Daragan Member). Initiation&nbsp;of peritidal deposition coincided with the development of a rimmed platform that would persist throughout much of the Cambrian and Early Odrovician. At the end of deposition of the Waynesboro Formation, the platform became subaerially exposed because of the Hawke Bay regression, bringing the Sauk I supersequence to and end. In the Conestoga Valley of eastern Pennsylvania, Early Cambrian ramp deposition was succeeded by deposition of platform-margin and periplatfrom facies of the Kinzers Formation.</p>\n<p>The basal Sauk II transgression during the early Middle Cambrian submerged the platform and reinitiated the pertidal cyclicity&nbsp;that had characterized the pre-Hawke Bay deposition, This thick stack of meter-scale cycles is preserved as the Pleasant Hill and Warrior Formations of the Nittany arch, the Elbrook Formation of the Great Valley, and the Zooks Corner Formations of the Conestoga Valley. Deposition of peritidal cycles was interrupted during deposition of the <i>Glossopleura</i> and <i>Bathuriscus-Elrathina </i>Biozones by third-order deepening episodes that submerged the platform with subtidal facies. Regressive facies of the Sauk II supersequence produced platform-wide restrictions and the deposition of the lower sandy member of the Gatesburg Formation, the Big Spring Station Member of the Conococheague Formation, and the Snitz Creek Formation. Submergence of the platform was initiated during the late Steptoean (<i>Elvinia&nbsp;</i>Zone) with the epansion of extensive subtidal thrombotic boundstone facies. Vertical stacking of no fewer than four of these thrombolite-dominated intervals records third-order deepening episodes separated by intervening shallowing episodes that produced peritidal ribbony and laminated mudcracked dolostone.</p>\n<p>The maximum deepening of the Sauk III transgression produced the Stonehenge Formation in two separate and distinct third-order submergences. Circulation restriction during the Sauk III regression produced a thick stack of meter-scale cycles of the Rockdale Run Formation, and the lower Bellefonte Dolomite of the Nittany arch (central Pennsylvania). This regressive phase was interrupted by a third-order deepening event that produced the oolitic member of the lower Rockdale Run and the Woodsboro Member of the Grove Formation in the Frederick Valley. Restricted circulation continued into the Whiterockian, with deposition of the upper Rockdale Run and the Pinesberg Station Dolomite in the Great Valley and the missile and upper parts of the Bellefonte Dolomore and the Nittany Arch region. This deposition was continuous from the Ibexian into the Whiterockian; the succession lacks significant unconformities and there are no missing biozones through this interval, the top of which marks the end of the Sauk megasequence.</p>\n<p>During deposition of the Tippecanoe megasequence, the peritidal shelf cycles were reestablished during deposition of the St. Paul Group. The vertical stacking of lithologies in the Row Park and New Market Limestones represents transgressive and regressice facies of a third-order deepening event. This submergence reached its maximum deepening within the lower Row Park Limestone and extended with the Nittany arch region with deposition of equivalent Loysburg Formation.. Shallow tidal-flat deposits were bordered to the south and east by deep-water ramp deposits of the Lincolnshire Formation. The St. Paul Group is succeeded upsection by ramp facies of the Chamersberg and the Edinburg Formations in the Great Valley, whereas shallow-shelf sedimentation continued in the Nittany-arch area with the depostion of the Hatter Limestoen and the Snyder and Linden Hall Formations. Carbonate deposition on the great American carbonate bank was brought to an end when it was buried beneath clastic flysch deposits of the Martinsberg Formation. Foundering of the bamk was diachronus, and the flysch seidments prograded from east to west.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The great American carbonate bank: The geology and economic resources of the Cambrian–Ordovician Sauk megasequence of Laurentia","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"AAPG","publisherLocation":"Tulsa, OK","doi":"10.1306/13331500M983500","usgsCitation":"Brezinski, D.K., Taylor, J.F., and Repetski, J.E., 2012, Sequential development of platform to off-platform facies of the great American carbonate bank in the central Appalachians, chap. 15 <i>of</i> The great American carbonate bank: The geology and economic resources of the Cambrian–Ordovician Sauk megasequence of Laurentia: AAPG Memoir, v. 98, p. 383-420, https://doi.org/10.1306/13331500M983500.","productDescription":"38 p.","startPage":"383","endPage":"420","numberOfPages":"38","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":270968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297357,"type":{"id":15,"text":"Index Page"},"url":"https://archives.datapages.com/data/specpubs/memoir98/CHAPTER15/CHAPTER15.HTM"}],"country":"United States","state":"Maryland, Pennsylvania, Virginia, West Virginia","otherGeospatial":"Appalachians","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.3984375,\n              37.92686760148135\n            ],\n            [\n              -78.3984375,\n              41.178653972331695\n            ],\n            [\n              -73.992919921875,\n              41.178653972331695\n            ],\n            [\n              -73.992919921875,\n              37.92686760148135\n            ],\n            [\n              -78.3984375,\n              37.92686760148135\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"98","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"516e64dce4b00154e4368b6f","contributors":{"authors":[{"text":"Brezinski, David K.","contributorId":49428,"corporation":false,"usgs":true,"family":"Brezinski","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":477484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, John F.","contributorId":80890,"corporation":false,"usgs":false,"family":"Taylor","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":477485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Repetski, John E. 0000-0002-2298-7120 jrepetski@usgs.gov","orcid":"https://orcid.org/0000-0002-2298-7120","contributorId":2596,"corporation":false,"usgs":true,"family":"Repetski","given":"John","email":"jrepetski@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":477483,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045427,"text":"70045427 - 2012 - Ball clay","interactions":[],"lastModifiedDate":"2013-04-16T10:55:08","indexId":"70045427","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Ball clay","docAbstract":"Four companies — H.C. Spinks Clay Co., Inc., Imerys Group, Old Hickory Clay Co., and Unimin Corp. — mined ball clay in four states in 2011. Production, on the basis of preliminary data, was 940 kt (1.04 million st) with an estimated value of $44.2 million. This is a 3-percent increase in tonnage from 912 kt (1.01 million st) with a value of $41.3 million that was produced in 2010. Tennessee was the leading producing state with 63 percent of domestic production, followed by Texas, Mississippi and Kentucky. About 69 percent of production was airfloat, 20 percent was crude and 11 percent was water-slurried.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","publisherLocation":"Englewood, CO","usgsCitation":"Virta, R., 2012, Ball clay: Mining Engineering, v. 64, no. 6, p. 33-34.","productDescription":"2 p.","startPage":"33","endPage":"34","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":270975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"64","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"516e72e1e4b00154e4368b94","contributors":{"authors":[{"text":"Virta, R.L.","contributorId":39357,"corporation":false,"usgs":true,"family":"Virta","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":477490,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045443,"text":"70045443 - 2012 - Kaolin","interactions":[],"lastModifiedDate":"2013-04-16T14:33:21","indexId":"70045443","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Kaolin","docAbstract":"Fifteen companies mined kaolin in nine states in 2011. Production, on the basis of preliminary data, was estimated to be 5.48 Mt (6.04 million st) valued at $822 million, an increase from 5.42 Mt (5.97 million st) valued at $788 million in 2010. Production in Georgia, the top producing state, increased to an estimated 5.1 Mt (5.62 million st) valued at $790 million in 2011 from 5.05 Mt (5.57 million st) valued at $757 million in 2010. Georgia accounted for 93 percent of U.S. production tonnage and nearly the entire domestic water-washed, delaminated and pigment-grade calcined kaolin production.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","publisherLocation":"Englewood, CO","usgsCitation":"Virta, R., 2012, Kaolin: Mining Engineering, v. 64, no. 6, p. 70-71.","productDescription":"2 p.","startPage":"70","endPage":"71","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":271005,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"64","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"516e72ede4b00154e4368c21","contributors":{"authors":[{"text":"Virta, R.L.","contributorId":39357,"corporation":false,"usgs":true,"family":"Virta","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":477507,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}