{"pageNumber":"1569","pageRowStart":"39200","pageSize":"25","recordCount":184553,"records":[{"id":70047182,"text":"70047182 - 2012 - Ancient impact and aqueous processes at Endeavour Crater, Mars","interactions":[],"lastModifiedDate":"2018-11-14T11:15:46","indexId":"70047182","displayToPublicDate":"2013-01-01T11:32:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Ancient impact and aqueous processes at Endeavour Crater, Mars","docAbstract":"The rover Opportunity has investigated the rim of Endeavour Crater, a large ancient impact crater on Mars. Basaltic breccias produced by the impact form the rim deposits, with stratigraphy similar to that observed at similar-sized craters on Earth. Highly localized zinc enrichments in some breccia materials suggest hydrothermal alteration of rim deposits. Gypsum-rich veins cut sedimentary rocks adjacent to the crater rim. The gypsum was precipitated from low-temperature aqueous fluids flowing upward from the ancient materials of the rim, leading temporarily to potentially habitable conditions and providing some of the waters involved in formation of the ubiquitous sulfate-rich sandstones of the Meridiani region.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Science","doi":"10.1126/science.1220476","usgsCitation":"Squyres, S.W., Arvidson, R., Bell, J., Calef, F., Clark, B.C., Cohen, B.A., Crumpler, L., de Souza, P.A., Farrand, W.H., Gellert, R., Grant, J., Herkenhoff, K.E., Hurowitz, J., Johnson, J.R., Jolliff, B., Knoll, A., Li, R., McLennan, S.M., Ming, D.W., Mittlefehldt, D.W., Parker, T.J., Paulsen, G., Rice, M., Ruff, S.W., Schroder, C., Yen, A.S., and Zacny, K., 2012, Ancient impact and aqueous processes at Endeavour Crater, Mars: Science, v. 336, no. 6081, p. 570-576, https://doi.org/10.1126/science.1220476.","productDescription":"7 p.","startPage":"570","endPage":"576","ipdsId":"IP-037245","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":474116,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:10735581","text":"External Repository"},{"id":275346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"336","issue":"6081","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f0f75fe4b04309f4e38cff","contributors":{"authors":[{"text":"Squyres, S. 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W.","contributorId":63136,"corporation":false,"usgs":false,"family":"Ruff","given":"S.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":481276,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Schroder, C.","contributorId":98200,"corporation":false,"usgs":true,"family":"Schroder","given":"C.","email":"","affiliations":[],"preferred":false,"id":481287,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Yen, A. S.","contributorId":35860,"corporation":false,"usgs":true,"family":"Yen","given":"A.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":481268,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Zacny, K.","contributorId":72279,"corporation":false,"usgs":true,"family":"Zacny","given":"K.","affiliations":[],"preferred":false,"id":481280,"contributorType":{"id":1,"text":"Authors"},"rank":27}]}}
,{"id":70045145,"text":"70045145 - 2012 - Analysis of rainfall-induced slope instability using a field of local factor of safety","interactions":[],"lastModifiedDate":"2018-03-08T15:55:10","indexId":"70045145","displayToPublicDate":"2013-01-01T11:23:00","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":"Analysis of rainfall-induced slope instability using a field of local factor of safety","docAbstract":"Slope-stability analyses are mostly conducted by identifying or assuming a potential failure surface and assessing the factor of safety (FS) of that surface. This approach of assigning a single FS to a potentially unstable slope provides little insight on where the failure initiates or the ultimate geometry and location of a landslide rupture surface. We describe a method to quantify a scalar field of FS based on the concept of the Coulomb stress and the shift in the state of stress toward failure that results from rainfall infiltration. The FS at each point within a hillslope is called the local factor of safety (LFS) and is defined as the ratio of the Coulomb stress at the current state of stress to the Coulomb stress of the potential failure state under the Mohr-Coulomb criterion. Comparative assessment with limit-equilibrium and hybrid finite element limit-equilibrium methods show that the proposed LFS is consistent with these approaches and yields additional insight into the geometry and location of the potential failure surface and how instability may initiate and evolve with changes in pore water conditions. Quantitative assessments applying the new LFS field method to slopes under infiltration conditions demonstrate that the LFS has the potential to overcome several major limitations in the classical FS methodologies such as the shape of the failure surface and the inherent underestimation of slope instability. Comparison with infinite-slope methods, including a recent extension to variably saturated conditions, shows further enhancement in assessing shallow landslide occurrence using the LFS methodology. Although we use only a linear elastic solution for the state of stress with no post-failure analysis that require more sophisticated elastoplastic or other theories, the LFS provides a new means to quantify the potential instability zones in hillslopes under variably saturated conditions using stress-field based methods.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1029/2012WR011830","usgsCitation":"Lu, N., Şener-Kaya, B., Wayllace, A., and Godt, J.W., 2012, Analysis of rainfall-induced slope instability using a field of local factor of safety: Water Resources Research, v. 48, no. 9, W09524, https://doi.org/10.1029/2012WR011830.","productDescription":"W09524","ipdsId":"IP-040508","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":275626,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275625,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012WR011830"}],"volume":"48","issue":"9","noUsgsAuthors":false,"publicationDate":"2012-09-18","publicationStatus":"PW","scienceBaseUri":"51fa31e2e4b076c3a8d8263a","contributors":{"authors":[{"text":"Lu, Ning","contributorId":191360,"corporation":false,"usgs":false,"family":"Lu","given":"Ning","email":"","affiliations":[{"id":12620,"text":"U.S. Army Corp. of Engineers","active":true,"usgs":false}],"preferred":false,"id":476932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Şener-Kaya, Başak","contributorId":44445,"corporation":false,"usgs":true,"family":"Şener-Kaya","given":"Başak","affiliations":[],"preferred":false,"id":476933,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wayllace, Alexandra","contributorId":23044,"corporation":false,"usgs":true,"family":"Wayllace","given":"Alexandra","affiliations":[],"preferred":false,"id":476931,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":476930,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046806,"text":"70046806 - 2012 - A remote-sensing, GIS-based approach to identify, characterize, and model spawning habitat for fall-run chum salmon in a sub-arctic, glacially fed river","interactions":[],"lastModifiedDate":"2013-07-09T11:25:25","indexId":"70046806","displayToPublicDate":"2013-01-01T11:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"A remote-sensing, GIS-based approach to identify, characterize, and model spawning habitat for fall-run chum salmon in a sub-arctic, glacially fed river","docAbstract":"At northern limits of a species’ distribution, fish habitat requirements are often linked to thermal preferences, and the presence of overwintering habitat. However, logistical challenges and hydrologic processes typical of glacial systems could compromize the identification of these habitats, particularly in large river environments. Our goal was to identify and characterize spawning habitat for fall-run chum salmon Oncorhynchus keta and model habitat selection from spatial distributions of tagged individuals in the Tanana River, Alaska using an approach that combined ground surveys with remote sensing. Models included braiding, sinuosity, ice-free water surface area (indicating groundwater influence), and persistent ice-free water (i.e., consistent presence of ice-free water for a 12-year period according to satellite imagery). Candidate models containing persistent ice-free water were selected as most likely, highlighting the utility of remote sensing for monitoring and identifying salmon habitat in remote areas. A combination of ground and remote surveys revealed spatial and temporal thermal characteristics of these habitats that could have strong biological implications. Persistent ice-free sites identified using synthetic aperture radar appear to serve as core areas for spawning fall chum salmon, and the importance of stability through time suggests a legacy of successful reproductive effort for this homing species. These features would not be captured with a one-visit traditional survey but rather required remote-sensing monitoring of the sites through time.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2012.692348","usgsCitation":"Wirth, L., Rosenberger, A., Prakash, A., Gens, R., Margraf, F.J., and Hamazaki, T., 2012, A remote-sensing, GIS-based approach to identify, characterize, and model spawning habitat for fall-run chum salmon in a sub-arctic, glacially fed river: Transactions of the American Fisheries Society, v. 141, no. 5, p. 1349-1363, https://doi.org/10.1080/00028487.2012.692348.","productDescription":"15 p.","startPage":"1349","endPage":"1363","ipdsId":"IP-039186","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":274752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274749,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2012.692348"}],"volume":"141","issue":"5","noUsgsAuthors":false,"publicationDate":"2012-08-30","publicationStatus":"PW","scienceBaseUri":"51dd30e4e4b0f72b44719c3d","contributors":{"authors":[{"text":"Wirth, Lisa","contributorId":24671,"corporation":false,"usgs":true,"family":"Wirth","given":"Lisa","email":"","affiliations":[],"preferred":false,"id":480306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Amanda","contributorId":45609,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","affiliations":[],"preferred":false,"id":480309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prakash, Anupma","contributorId":41101,"corporation":false,"usgs":true,"family":"Prakash","given":"Anupma","affiliations":[],"preferred":false,"id":480307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gens, Rudiger","contributorId":54490,"corporation":false,"usgs":true,"family":"Gens","given":"Rudiger","email":"","affiliations":[],"preferred":false,"id":480310,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Margraf, F. Joseph jmargraf@usgs.gov","contributorId":257,"corporation":false,"usgs":true,"family":"Margraf","given":"F.","email":"jmargraf@usgs.gov","middleInitial":"Joseph","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":480305,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hamazaki, Toshihide","contributorId":41723,"corporation":false,"usgs":true,"family":"Hamazaki","given":"Toshihide","email":"","affiliations":[],"preferred":false,"id":480308,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70047315,"text":"70047315 - 2012 - Phosphorite-hosted zinc and lead mineralization in the Sekarna deposit (Central Tunisia)","interactions":[],"lastModifiedDate":"2013-07-31T11:16:27","indexId":"70047315","displayToPublicDate":"2013-01-01T11:10:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2746,"text":"Mineralium Deposita","active":true,"publicationSubtype":{"id":10}},"title":"Phosphorite-hosted zinc and lead mineralization in the Sekarna deposit (Central Tunisia)","docAbstract":"The Sekarna Zn–Pb deposit is located in Central Tunisia at the northeastern edge of the Cenozoic Rohia graben. Mineralization comprises two major ore types: (1) disseminated Zn–Pb sulfides that occur as lenses in sedimentary phosphorite layers and (2) cavity-filling zinc oxides (calamine-type ores) that crosscut Late Cretaceous and Early Eocene limestone. We studied Zn sulfide mineralization in the Saint Pierre ore body, which is hosted in a 5-m-thick sedimentary phosphorite unit of Early Eocene age. The sulfide mineralization occurs as replacements of carbonate cement in phosphorite. The ores comprise stratiform lenses rich in sphalerite with minor galena, Fe sulfides, and earlier diagenetic barite. Laser ablation–inductively coupled plasma mass spectrometry analyses of sphalerite and galena show a wide range of minor element contents with significant enrichment of cadmium in both sphalerite (6,000–20,000 ppm) and galena (12–189 ppm). The minor element enrichments likely reflect the influence of the immediate organic-rich host rocks. Fluid inclusions in sphalerite give homogenization temperatures of 80–130°C. The final ice melting temperatures range from −22°C to −11°C, which correspond to salinities of 15–24 wt.% NaCl eq. and suggest a basinal brine origin for the fluids. Sulfur isotope analyses show uniformly negative values for sphalerite (−11.2‰ to −9.3‰) and galena (−16‰ to −12.3‰). The δ<sup>34</sup>S of barite, which averages 25.1‰, is 4‰ higher than the value for Eocene seawater sulfate. The sulfur isotopic compositions are inferred to reflect sulfur derivation through bacterial reduction of contemporaneous seawater sulfate, possibly in restricted basins where organic matter was abundant. The Pb isotopes suggest an upper crustal lead source.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mineralium Deposita","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00126-011-0395-y","usgsCitation":"Garnit, H., Bouhel, S., Barca, D., Johnson, C.A., and Chtara, C., 2012, Phosphorite-hosted zinc and lead mineralization in the Sekarna deposit (Central Tunisia): Mineralium Deposita, v. 47, no. 5, p. 545-562, https://doi.org/10.1007/s00126-011-0395-y.","productDescription":"18 p.","startPage":"545","endPage":"562","ipdsId":"IP-034511","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":275624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275621,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00126-011-0395-y"}],"country":"Tunisia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 7.52,30.23 ], [ 7.52,37.36 ], [ 11.6,37.36 ], [ 11.6,30.23 ], [ 7.52,30.23 ] ] ] } } ] }","volume":"47","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-12-17","publicationStatus":"PW","scienceBaseUri":"51fa31e6e4b076c3a8d82669","contributors":{"authors":[{"text":"Garnit, Hechmi","contributorId":38454,"corporation":false,"usgs":true,"family":"Garnit","given":"Hechmi","email":"","affiliations":[],"preferred":false,"id":481700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bouhel, Salah","contributorId":100716,"corporation":false,"usgs":true,"family":"Bouhel","given":"Salah","email":"","affiliations":[],"preferred":false,"id":481702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barca, Donatella","contributorId":73094,"corporation":false,"usgs":true,"family":"Barca","given":"Donatella","email":"","affiliations":[],"preferred":false,"id":481701,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Craig A. 0000-0002-1334-2996 cjohnso@usgs.gov","orcid":"https://orcid.org/0000-0002-1334-2996","contributorId":909,"corporation":false,"usgs":true,"family":"Johnson","given":"Craig","email":"cjohnso@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"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":481698,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chtara, Chaker","contributorId":12354,"corporation":false,"usgs":true,"family":"Chtara","given":"Chaker","email":"","affiliations":[],"preferred":false,"id":481699,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70043254,"text":"70043254 - 2012 - Predator evasion by white-tailed deer fawns","interactions":[],"lastModifiedDate":"2024-06-18T14:14:00.192983","indexId":"70043254","displayToPublicDate":"2013-01-01T11:08:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":770,"text":"Animal Behaviour","active":true,"publicationSubtype":{"id":10}},"title":"Predator evasion by white-tailed deer fawns","docAbstract":"Despite their importance for understanding predator–prey interactions, factors that affect predator evasion behaviours of offspring of large ungulates are poorly understood. Our objective was to characterize the influence of selection and availability of escape cover and maternal presence on predator evasion by white-tailed deer, Odocoileus virginianus, fawns in the northern Great Plains, U.S.A. We observed 45 coyote, Canis latrans, chases of fawns, and we participated in 83 human chases of fawns during 2007–2009, of which, 19 and 42 chases, respectively, ended with capture of the fawn. Evasive techniques used by fawns were similar for human and coyote chases. Likelihood of a white-tailed deer fawn escaping capture, however, was influenced by deer group size and a number of antipredator behaviours, including aggressive defence by females, initial habitat and selection of escape cover, all of which were modified by the presence of parturient females. At the initiation of a chase, fawns in grasslands were more likely to escape, whereas fawns in forested cover, cultivated land or wheat were more likely to be captured by a coyote or human. Fawns fleeing to wetlands and grasslands also were less likely to be captured compared with those choosing forested cover, wheat and cultivated land. Increased probability of capture was associated with greater distance to wetland and grassland habitats and decreased distance to wheat. Use of wetland habitat as a successful antipredator strategy highlights the need for a greater understanding of the importance of habitat complexity in predator avoidance.","language":"English","publisher":"Elsevier","doi":"10.1016/j.anbehav.2012.04.005","usgsCitation":"Grovenburg, T.W., Monteith, K.L., Klaver, R.W., and Jenks, J., 2012, Predator evasion by white-tailed deer fawns: Animal Behaviour, v. 84, no. 1, p. 59-65, https://doi.org/10.1016/j.anbehav.2012.04.005.","productDescription":"7 p.","startPage":"59","endPage":"65","ipdsId":"IP-031108","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474117,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1211&context=nrem_pubs","text":"External Repository"},{"id":275183,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"84","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51ea8705e4b03397884d39a5","contributors":{"authors":[{"text":"Grovenburg, Troy W.","contributorId":57712,"corporation":false,"usgs":true,"family":"Grovenburg","given":"Troy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":473245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monteith, Kevin L.","contributorId":83400,"corporation":false,"usgs":true,"family":"Monteith","given":"Kevin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":473246,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":473243,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenks, Jonathan A.","contributorId":51591,"corporation":false,"usgs":true,"family":"Jenks","given":"Jonathan A.","affiliations":[],"preferred":false,"id":473244,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046822,"text":"70046822 - 2012 - Gravity fluctuations induced by magma convection at Kilauea Volcano, Hawai'i","interactions":[],"lastModifiedDate":"2019-05-30T10:11:30","indexId":"70046822","displayToPublicDate":"2013-01-01T10:46:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Gravity fluctuations induced by magma convection at Kilauea Volcano, Hawai'i","docAbstract":"Convection in magma chambers is thought to play a key role in the activity of persistently active volcanoes, but has only been inferred indirectly from geochemical observations or simulated numerically. Continuous microgravity measurements, which track changes in subsurface mass distribution over time, provide a potential method for characterizing convection in magma reservoirs. We recorded gravity oscillations with a period of ~150 s at two continuous gravity stations at the summit of Kīlauea Volcano, Hawai‘i. The oscillations are not related to inertial accelerations caused by seismic activity, but instead indicate variations in subsurface mass. Source modeling suggests that the oscillations are caused by density inversions in a magma reservoir located ~1 km beneath the east margin of Halema‘uma‘u Crater in Kīlauea Caldera—a location of known magma storage.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/G33060.1","usgsCitation":"Carbone, D., and Poland, M., 2012, Gravity fluctuations induced by magma convection at Kilauea Volcano, Hawai'i: Geology, v. 40, no. 9, p. 803-806, https://doi.org/10.1130/G33060.1.","productDescription":"4 p.","startPage":"803","endPage":"806","ipdsId":"IP-033975","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":275043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275042,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G33060.1"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.7984,19.0584 ], [ -155.7984,19.5476 ], [ -155.0163,19.5476 ], [ -155.0163,19.0584 ], [ -155.7984,19.0584 ] ] ] } } ] }","volume":"40","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e66b66e4b017be1ba3477f","contributors":{"authors":[{"text":"Carbone, Daniele","contributorId":38458,"corporation":false,"usgs":true,"family":"Carbone","given":"Daniele","affiliations":[],"preferred":false,"id":480363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":635,"corporation":false,"usgs":true,"family":"Poland","given":"Michael P.","email":"mpoland@usgs.gov","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":480362,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044790,"text":"70044790 - 2012 - The IUGS/IAGC Task Group on Global Geochemical Baselines","interactions":[],"lastModifiedDate":"2025-05-14T19:22:50.204537","indexId":"70044790","displayToPublicDate":"2013-01-01T10:41:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1424,"text":"Earth Science Frontiers","active":true,"publicationSubtype":{"id":10}},"title":"The IUGS/IAGC Task Group on Global Geochemical Baselines","docAbstract":"The Task Group on Global Geochemical Baselines, operating under the auspices of both the International Union of Geological Sciences (IUGS) and the International Association of Geochemistry (IAGC), has the long-term goal of establishing a global geochemical database to document the concentration and distribution of chemical elements in the Earth’s surface or near-surface environment. The database and accompanying element distribution maps represent a geochemical baseline against which future human-induced or natural changes to the chemistry of the land surface may be recognized and quantified. In order to accomplish this long-term goal, the activities of the Task Group include: (1) developing partnerships with countries conducting broad-scale geochemical mapping studies; (2) providing consultation and training in the form of workshops and short courses; (3) organizing periodic international symposia to foster communication among the geochemical mapping community; (4) developing criteria for certifying those projects whose data are acceptable in a global geochemical database; (5) acting as a repository for data collected by those projects meeting the criteria for standardization; (6) preparing complete metadata for the certified projects; and (7) preparing, ultimately, a global geochemical database. This paper summarizes the history and accomplishments of the Task Group since its first predecessor project was established in 1988.","language":"English","publisher":"China University of Geosciences; Peking University","usgsCitation":"Smith, D., Wang, X., Reeder, S., and Demetriades, A., 2012, The IUGS/IAGC Task Group on Global Geochemical Baselines: Earth Science Frontiers, v. 19, no. 3, p. 1-6.","productDescription":"6 p.","startPage":"1","endPage":"6","ipdsId":"IP-028386","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":276014,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276012,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.earthsciencefrontiers.net.cn/EN/abstract/abstract4451.shtml"}],"volume":"19","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5200c96ae4b009d47a4c23e9","contributors":{"authors":[{"text":"Smith, David B. 0000-0001-8396-9105 dsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8396-9105","contributorId":1274,"corporation":false,"usgs":true,"family":"Smith","given":"David B.","email":"dsmith@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":476315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Xueqiu","contributorId":105999,"corporation":false,"usgs":true,"family":"Wang","given":"Xueqiu","affiliations":[],"preferred":false,"id":476318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reeder, Shaun","contributorId":52870,"corporation":false,"usgs":true,"family":"Reeder","given":"Shaun","email":"","affiliations":[],"preferred":false,"id":476316,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Demetriades, Alecos","contributorId":101173,"corporation":false,"usgs":true,"family":"Demetriades","given":"Alecos","affiliations":[],"preferred":false,"id":476317,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042683,"text":"70042683 - 2012 - On the use of wave parameterizations and a storm impact scaling model in National Weather Service Coastal Flood and decision support operations","interactions":[],"lastModifiedDate":"2013-07-09T10:45:54","indexId":"70042683","displayToPublicDate":"2013-01-01T10:38:46","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"On the use of wave parameterizations and a storm impact scaling model in National Weather Service Coastal Flood and decision support operations","docAbstract":"National Weather Service (NWS) Weather Forecast Offices (WFO) are responsible for issuing coastal flood watches, warnings, advisories, and local statements to alert decision makers and the general public when rising water levels may lead to coastal impacts such as inundation, erosion, and wave battery. Both extratropical and tropical cyclones can generate the prerequisite rise in water level to set the stage for a coastal impact event. Forecasters use a variety of tools including computer model guidance and local studies to help predict the potential severity of coastal flooding. However, a key missing component has been the incorporation of the effects of waves in the prediction of total water level and the associated coastal impacts.\n\nSeveral recent studies have demonstrated the importance of incorporating wave action into the NWS coastal flood program. To follow up on these studies, this paper looks at the potential of applying recently developed empirical parameterizations of wave setup, swash, and runup to the NWS forecast process. Additionally, the wave parameterizations are incorporated into a storm impact scaling model that compares extreme water levels to beach elevation data to determine the mode of coastal change at predetermined “hotspots” of interest. Specifically, the storm impact model compares the approximate storm-induced still water level, which includes contributions from tides, storm surge, and wave setup, to dune crest elevation to determine inundation potential. The model also compares the combined effects of tides, storm surge, and the 2 % exceedance level for vertical wave runup (including both wave setup and swash) to dune toe and crest elevations to determine if erosion and/or ocean overwash may occur. The wave parameterizations and storm impact model are applied to two cases in 2009 that led to significant coastal impacts and unique forecast challenges in North Carolina: the extratropical “Nor'Ida” event during 11-14 November and the large swell event from distant Hurricane Bill on 22 August. The coastal impacts associated with Nor'Ida were due to the combined effects of surge, tide, and wave processes and led to an estimated 5.8 million dollars in damage. While the impacts from Hurricane Bill were not as severe as Nor'Ida, they were mainly associated with wave processes. Thus, this event exemplifies the importance of incorporating waves into the total water level and coastal impact prediction process. These examples set the stage for potential future applications including adaption to the more complex topography along the New England coast.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"92nd American Meteorological Society Annual Meeting, January 22-26, 2012","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"American Meteorological Society","usgsCitation":"Mignone, A., Stockdon, H., Willis, M., Cannon, J., and Thompson, R., 2012, On the use of wave parameterizations and a storm impact scaling model in National Weather Service Coastal Flood and decision support operations, <i>in</i> 92nd American Meteorological Society Annual Meeting, January 22-26, 2012, 9 p.","productDescription":"9 p.","ipdsId":"IP-034554","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":274744,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274743,"type":{"id":15,"text":"Index Page"},"url":"https://ams.confex.com/ams/92Annual/webprogram/Paper196615.html"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dd30eee4b0f72b44719cb2","contributors":{"authors":[{"text":"Mignone, Anthony","contributorId":77825,"corporation":false,"usgs":true,"family":"Mignone","given":"Anthony","email":"","affiliations":[],"preferred":false,"id":472050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stockdon, H.","contributorId":71351,"corporation":false,"usgs":true,"family":"Stockdon","given":"H.","affiliations":[],"preferred":false,"id":472049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Willis, M.","contributorId":82910,"corporation":false,"usgs":true,"family":"Willis","given":"M.","email":"","affiliations":[],"preferred":false,"id":472051,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cannon, J.W.","contributorId":39676,"corporation":false,"usgs":true,"family":"Cannon","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":472048,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, R.","contributorId":103444,"corporation":false,"usgs":true,"family":"Thompson","given":"R.","affiliations":[],"preferred":false,"id":472052,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70041078,"text":"70041078 - 2012 - Stable isotopes identify dietary changes associated with beak deformities in Black-Capped Chickadees (<i>Poecile atricapillus</i>)","interactions":[],"lastModifiedDate":"2018-08-21T15:08:44","indexId":"70041078","displayToPublicDate":"2013-01-01T10:29:43","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Stable isotopes identify dietary changes associated with beak deformities in Black-Capped Chickadees (<i>Poecile atricapillus</i>)","docAbstract":"A large number of beak deformities of unknown etiology have recently been reported in Black-capped Chickadees (Poecile atricapillus) and other resident avian species in Alaska. We investigated the potential association between diet and beak deformities. We analyzed carbon (δ13C) and nitrogen (δ15N) isotopes in whole blood of Black-capped Chickadees captured at three semiurban sites in south-central Alaska. For dietary analysis, we included natural foods (arthropods, seeds, and berries) and anthropogenic items commonly provided in bird feeders (sunflower seeds, peanut butter, and suet). Blood samples from individuals with beak deformities exhibited lower δ15N values and more variable δ13C values than birds with normal beaks. Isotopic values of blood also differed by location for both carbon and nitrogen, but we did not detect a difference in natural dietary items across the three sites. Contributions of individual diet items differed between birds with and without beak deformities, a pattern that likely reflected reduced function of the beak. Affected birds generally consumed fewer arthropods and sunflower seeds and more peanut butter and natural seeds and berries. Although some individuals with beak deformities relied heavily on feeder foods, we did not find evidence of an anthropogenic food source shared by all affected birds. In addition, dietary differences were most pronounced for moderately to severely affected birds, which suggests that these differences are more likely to be a consequence than a cause of deformities.","language":"English","publisher":"American Ornithological Society","doi":"10.1525/auk.2012.12037","usgsCitation":"Van Hemert, C.R., Handel, C.M., and O’Brien, D.M., 2012, Stable isotopes identify dietary changes associated with beak deformities in Black-Capped Chickadees (<i>Poecile atricapillus</i>): The Auk, v. 129, no. 3, p. 460-466, https://doi.org/10.1525/auk.2012.12037.","productDescription":"7 p.","startPage":"460","endPage":"466","ipdsId":"IP-038991","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":474118,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/auk.2012.12037","text":"Publisher Index Page"},{"id":282739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.45,51.21 ], [ 172.45,71.39 ], [ -129.99,71.39 ], [ -129.99,51.21 ], [ 172.45,51.21 ] ] ] } } ] }","volume":"129","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd73e2e4b0b29085109365","contributors":{"authors":[{"text":"Van Hemert, Caroline R. 0000-0002-6858-7165 cvanhemert@usgs.gov","orcid":"https://orcid.org/0000-0002-6858-7165","contributorId":3592,"corporation":false,"usgs":true,"family":"Van Hemert","given":"Caroline","email":"cvanhemert@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":469363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":469361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Brien, Diane M.","contributorId":66173,"corporation":false,"usgs":true,"family":"O’Brien","given":"Diane","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":469362,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044866,"text":"70044866 - 2012 - The Nation's top 25 construction aggregates producers","interactions":[],"lastModifiedDate":"2013-08-06T10:23:53","indexId":"70044866","displayToPublicDate":"2013-01-01T10:18:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":674,"text":"Aggregates Manager","active":true,"publicationSubtype":{"id":10}},"title":"The Nation's top 25 construction aggregates producers","docAbstract":"In 2010, the market appeared to bottom out with production continuing its downward trend and average unit values down for the first time since 1998.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aggregates Manager","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Randall Reilly Publishing","usgsCitation":"Willett, J., 2012, The Nation's top 25 construction aggregates producers: Aggregates Manager, v. 17, no. 3, p. 33-37.","productDescription":"5 p.","startPage":"33","endPage":"37","ipdsId":"IP-034597","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":276100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276099,"type":{"id":11,"text":"Document"},"url":"https://read.dmtmag.com/i/85639"}],"volume":"17","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52021ae9e4b0e21cafa49ca2","contributors":{"authors":[{"text":"Willett, Jason Christopher","contributorId":85480,"corporation":false,"usgs":true,"family":"Willett","given":"Jason Christopher","affiliations":[],"preferred":false,"id":476419,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044105,"text":"70044105 - 2012 - Primary mapping and stratigraphic data and field methods for the Snowmastodon Project","interactions":[],"lastModifiedDate":"2013-07-25T10:39:59","indexId":"70044105","displayToPublicDate":"2013-01-01T10:16:12","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":222,"text":"Technical Report","active":false,"publicationSubtype":{"id":3}},"seriesNumber":"2012-04","title":"Primary mapping and stratigraphic data and field methods for the Snowmastodon Project","docAbstract":"During the Snowmastodon Project, many different people collected data for a wide array of purposes under a variety of conditions. Early in the process and in an attempt to provide project-wide consistency, Kirk Johnson appointed Carol Lucking as the project’s data manager both in the field and the lab. She was responsible for using GIS to create maps on an ongoing basis throughout the project. Jeff Pigati agreed to measure stratigraphic sections and coordinate the collection of various nonvertebrate samples to make sure that all resulting data could be plotted on common diagrams. Kirk Johnson was onsite for the entire project and measured the basin margin stratigraphy on a daily basis as it was destroyed by the digging teams. In the fall of 2010, we treated the upper part of the site (which included discrete excavations for the mammoth, deer, and bison skeletons) as an archaeological excavation and the lower part of the site (which contained isolated mastodon, ground sloth, and bison bones) as a construction salvage site.","language":"English","publisher":"Denver Museum of Nature & Science","publisherLocation":"Denver, CO","usgsCitation":"Lucking, C., Johnson, K.R., Pigati, J., and Miller, I., 2012, Primary mapping and stratigraphic data and field methods for the Snowmastodon Project: Technical Report 2012-04, 101 p.","productDescription":"101 p.","numberOfPages":"102","ipdsId":"IP-038917","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":275384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275380,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://www.dmns.org/media/1280453/pages_61-72_from_technical_report.pdf"},{"id":275378,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://www.dmns.org/media/1280447/pages_16-48_from_technical_report.pdf"},{"id":275379,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://www.dmns.org/media/1280450/pages_49-60_from_technical_report.pdf"},{"id":275375,"type":{"id":11,"text":"Document"},"url":"https://www.dmns.org/media/1280444/pages_1-15_from_technical_reportred.pdf"},{"id":275381,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://www.dmns.org/media/1280456/pages_74-79_from_technical_report.pdf"},{"id":275382,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://www.dmns.org/media/1280459/pages_80-85_from_technical_report.pdf"},{"id":275383,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://www.dmns.org/media/1280462/pages_87-102_from_technical_report.pdf"}],"country":"United States","state":"Colorado","city":"Snowmass Village","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.989321,39.155859 ], [ -106.989321,39.291971 ], [ -106.897133,39.291971 ], [ -106.897133,39.155859 ], [ -106.989321,39.155859 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f25422e4b0279fe2e1c01e","contributors":{"authors":[{"text":"Lucking, Carol","contributorId":36035,"corporation":false,"usgs":true,"family":"Lucking","given":"Carol","email":"","affiliations":[],"preferred":false,"id":474820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Kirk R.","contributorId":16877,"corporation":false,"usgs":true,"family":"Johnson","given":"Kirk","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":474819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pigati, Jeffery S. jpigati@usgs.gov","contributorId":1270,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffery S.","email":"jpigati@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":474818,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Ian","contributorId":66573,"corporation":false,"usgs":true,"family":"Miller","given":"Ian","affiliations":[],"preferred":false,"id":474821,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047758,"text":"70047758 - 2012 - Data-driven modeling of surface temperature anomaly and solar activity trends","interactions":[],"lastModifiedDate":"2013-08-22T10:09:15","indexId":"70047758","displayToPublicDate":"2013-01-01T10:06:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Data-driven modeling of surface temperature anomaly and solar activity trends","docAbstract":"A novel two-step modeling scheme is used to reconstruct and analyze surface temperature and solar activity data at global, hemispheric, and regional scales. First, the self-organizing map (SOM) technique is used to extend annual modern climate data from the century to millennial scale. The SOM component planes are used to identify and quantify strength of nonlinear relations among modern surface temperature anomalies (<150 years), tropical and extratropical teleconnections, and Palmer Drought Severity Indices (0–2000 years). Cross-validation of global sea and land surface temperature anomalies verifies that the SOM is an unbiased estimator with less uncertainty than the magnitude of anomalies. Second, the quantile modeling of SOM reconstructions reveal trends and periods in surface temperature anomaly and solar activity whose timing agrees with published studies. Temporal features in surface temperature anomalies, such as the Medieval Warm Period, Little Ice Age, and Modern Warming Period, appear at all spatial scales but whose magnitudes increase when moving from ocean to land, from global to regional scales, and from southern to northern regions. Some caveats that apply when interpreting these data are the high-frequency filtering of climate signals based on quantile model selection and increased uncertainty when paleoclimatic data are limited. Even so, all models find the rate and magnitude of Modern Warming Period anomalies to be greater than those during the Medieval Warm Period. Lastly, quantile trends among reconstructed equatorial Pacific temperature profiles support the recent assertion of two primary El Niño Southern Oscillation types. These results demonstrate the efficacy of this alternative modeling approach for reconstructing and interpreting scale-dependent climate variables.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Modelling and Software","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2012.04.016","usgsCitation":"Friedel, M.J., 2012, Data-driven modeling of surface temperature anomaly and solar activity trends: Environmental Modelling and Software, v. 37, p. 217-232, https://doi.org/10.1016/j.envsoft.2012.04.016.","productDescription":"16 p.","startPage":"217","endPage":"232","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":276887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276886,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envsoft.2012.04.016"}],"volume":"37","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521732e3e4b043bae8d2e5d3","contributors":{"authors":[{"text":"Friedel, Michael J. 0000-0002-5060-3999 mfriedel@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":595,"corporation":false,"usgs":true,"family":"Friedel","given":"Michael","email":"mfriedel@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":482905,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70102819,"text":"70102819 - 2012 - Methods for simulating solute breakthrough curves in pumping groundwater wells","interactions":[],"lastModifiedDate":"2018-02-08T09:38:54","indexId":"70102819","displayToPublicDate":"2013-01-01T10:05:41","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"Methods for simulating solute breakthrough curves in pumping groundwater wells","docAbstract":"In modeling there is always a trade-off between execution time and accuracy. For gradient-based parameter estimation methods, where a simulation model is run repeatedly to populate a Jacobian (sensitivity) matrix, there exists a need for rapid simulation methods of known accuracy that can decrease execution time, and thus make the model more useful without sacrificing accuracy. Convolution-based methods can be executed rapidly for any desired input function once the residence-time distribution is known. The residence-time distribution can be calculated efficiently using particle tracking, but particle tracking can be ambiguous near a pumping well if the grid is too coarse. We present several embedded analytical expressions for improving particle tracking near a pumping well and compare them with a finely gridded finite-difference solution in terms of accuracy and CPU usage. Even though the embedded analytical approach can improve particle tracking near a well, particle methods reduce, but do not eliminate, reliance on a grid because velocity fields typically are calculated on a grid, and additional error is incurred using linear interpolation of velocity. A dilution rate can be calculated for a given grid and pumping well to determine if the grid is sufficiently refined. Embedded analytical expressions increase accuracy but add significantly to CPU usage. Structural error introduced by the numerical solution method may affect parameter estimates.","language":"English","publisher":"Elsevier","doi":"10.1016/j.cageo.2012.01.011","usgsCitation":"Starn, J.J., Bagtzoglou, A., and Robbins, G.A., 2012, Methods for simulating solute breakthrough curves in pumping groundwater wells: Computers & Geosciences, v. 48, p. 244-255, https://doi.org/10.1016/j.cageo.2012.01.011.","productDescription":"12 p.","startPage":"244","endPage":"255","ipdsId":"IP-029160","costCenters":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"links":[{"id":286685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286684,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.cageo.2012.01.011"}],"volume":"48","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535f786fe4b078dca33ae37d","contributors":{"authors":[{"text":"Starn, J. Jeffrey","contributorId":101617,"corporation":false,"usgs":true,"family":"Starn","given":"J.","email":"","middleInitial":"Jeffrey","affiliations":[],"preferred":false,"id":493022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bagtzoglou, Amvrossios C.","contributorId":30146,"corporation":false,"usgs":true,"family":"Bagtzoglou","given":"Amvrossios C.","affiliations":[],"preferred":false,"id":493020,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robbins, Gary A.","contributorId":41743,"corporation":false,"usgs":true,"family":"Robbins","given":"Gary","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":493021,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047005,"text":"70047005 - 2012 - A historical estimate of apparent survival of American oystercatcher (Haematopus palliatus) in Virginia","interactions":[],"lastModifiedDate":"2021-01-05T19:05:14.72053","indexId":"70047005","displayToPublicDate":"2013-01-01T10:03:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"A historical estimate of apparent survival of American oystercatcher (Haematopus palliatus) in Virginia","docAbstract":"Using mark-recapture models, apparent survival was estimated from older banding and re-sighting data (1978–1983) of American Oystercatchers (Haematopus palliatus) nesting on beaches and in salt marshes of coastal Virginia, USA. Oystercatchers nesting in salt marshes exhibited higher apparent survival (0.94 ±0.03) than birds nesting on beaches (0.81 ±0.06), a difference due to variation in mortality, permanent emigration, or both. Nesting on exposed barrier beaches may subject adults and young to higher risk of predation. These early estimates of adult survival for a species that is heavily monitored along the Atlantic and Gulf Coasts can be used to (1) develop demographic models to determine population stability, (2) compare with estimates of adult survival from populations that have reached carrying capacity, and (3) compare with estimates of survival from other oystercatcher populations and species.","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.035.0412","usgsCitation":"Nol, E., Murphy, S.P., and Cadman, M.D., 2012, A historical estimate of apparent survival of American oystercatcher (Haematopus palliatus) in Virginia: Waterbirds, v. 35, no. 4, p. 631-635, https://doi.org/10.1675/063.035.0412.","productDescription":"5 p.","startPage":"631","endPage":"635","ipdsId":"IP-039671","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":381892,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.6754,36.5408 ], [ -83.6754,39.466 ], [ -75.2422,39.466 ], [ -75.2422,36.5408 ], [ -83.6754,36.5408 ] ] ] } } ] }","volume":"35","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e519e2e4b069f8d27cca83","contributors":{"authors":[{"text":"Nol, Erica","contributorId":38459,"corporation":false,"usgs":true,"family":"Nol","given":"Erica","affiliations":[],"preferred":false,"id":480845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Sean P.","contributorId":50067,"corporation":false,"usgs":true,"family":"Murphy","given":"Sean","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":480846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cadman, Michael D.","contributorId":28146,"corporation":false,"usgs":true,"family":"Cadman","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":480844,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045927,"text":"70045927 - 2012 - Predicting the geographic distribution of a species from presence-only data subject to detection errors","interactions":[],"lastModifiedDate":"2013-07-23T10:01:10","indexId":"70045927","displayToPublicDate":"2013-01-01T09:58:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1039,"text":"Biometrics","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the geographic distribution of a species from presence-only data subject to detection errors","docAbstract":"Several models have been developed to predict the geographic distribution of a species by combining measurements of covariates of occurrence at locations where the species is known to be present with measurements of the same covariates at other locations where species occurrence status (presence or absence) is unknown. In the absence of species detection errors, spatial point-process models and binary-regression models for case-augmented surveys provide consistent estimators of a species’ geographic distribution without prior knowledge of species prevalence. In addition, these regression models can be modified to produce estimators of species abundance that are asymptotically equivalent to those of the spatial point-process models. However, if species presence locations are subject to detection errors, neither class of models provides a consistent estimator of covariate effects unless the covariates of species abundance are distinct and independently distributed from the covariates of species detection probability. These analytical results are illustrated using simulation studies of data sets that contain a wide range of presence-only sample sizes. Analyses of presence-only data of three avian species observed in a survey of landbirds in western Montana and northern Idaho are compared with site-occupancy analyses of detections and nondetections of these species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biometrics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The International Biometric Society","doi":"10.1111/j.1541-0420.2012.01779.x","usgsCitation":"Dorazio, R.M., 2012, Predicting the geographic distribution of a species from presence-only data subject to detection errors: Biometrics, v. 68, no. 4, p. 1303-1312, https://doi.org/10.1111/j.1541-0420.2012.01779.x.","productDescription":"10 p.","startPage":"1303","endPage":"1312","ipdsId":"IP-030620","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":275271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275270,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1541-0420.2012.01779.x"}],"volume":"68","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-08-31","publicationStatus":"PW","scienceBaseUri":"51efa5f5e4b0b09fbe58f1c3","contributors":{"authors":[{"text":"Dorazio, Robert M. 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":1668,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":478543,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048503,"text":"70048503 - 2012 - The effects of feral cats on insular wildlife: the Club-Med syndrome","interactions":[],"lastModifiedDate":"2014-04-03T09:57:55","indexId":"70048503","displayToPublicDate":"2013-01-01T09:52:15","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The effects of feral cats on insular wildlife: the Club-Med syndrome","docAbstract":"Domestic cats have been introduced to many of the world‘s islands where \nthey have been particularly devastating to insular wildlife which, in most \ncases, evolved in the absence of terrestrial predatory mammals and feline \ndiseases. We review the effects of predation, feline diseases, and the life \nhistory characteristics of feral cats and their prey that have contributed to the \nextirpation and extinction of many insular vertebrate species. The protozoan \n<i>Toxoplasma gondii</i> is a persistent land-based zoonotic pathogen hosted by \ncats that is known to cause mortality in several insular bird species. It also \nenters marine environments in cat feces where it can cause the mortality of \nmarine mammals. Feral cats remain widespread on islands throughout the \nworld and are frequently subsidized in colonies which caretakers often \nassert have little negative effect on native wildlife. However, population \ngenetics, home range, and movement studies all suggest that there are no \nlocations on smaller islands where these cats cannot penetrate within two \ngenerations. While the details of past vertebrate extinctions were rarely \ndocumented during contemporary time, a strong line of evidence is \nemerging that the removal of feral cats from islands can rapidly facilitate the \nrecolonization of extirpated species, particularly seabirds. Islands offer \nunique, mostly self-contained ecosystems in which to conduct controlled \nstudies of the effects of feral cats on wildlife, having implications for \ncontinental systems. The response of terrestrial wildlife such as passerine \nbirds, small mammals, and herptiles still needs more thorough long-term \nmonitoring and documentation after the removal of feral cats.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Vertebrate Pest Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"University of California, Davis","usgsCitation":"Hess, S., and Danner, R.M., 2012, The effects of feral cats on insular wildlife: the Club-Med syndrome, <i>in</i> Proceedings of the Vertebrate Pest Conference, v. 25, p. 76-82.","productDescription":"7 p.","startPage":"76","endPage":"82","numberOfPages":"7","ipdsId":"IP-039153","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":285413,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":285412,"type":{"id":15,"text":"Index Page"},"url":"https://nebraskamaps.unl.edu/productcart/pc/viewPrd.asp?idproduct=13044&idcategory=579"}],"volume":"25","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5355959ee4b0120853e8c27d","contributors":{"editors":[{"text":"Timm, R. M.","contributorId":92376,"corporation":false,"usgs":true,"family":"Timm","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":509616,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Hess, Steve C.","contributorId":56154,"corporation":false,"usgs":true,"family":"Hess","given":"Steve C.","affiliations":[],"preferred":false,"id":484860,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Danner, Raymond M.","contributorId":69475,"corporation":false,"usgs":true,"family":"Danner","given":"Raymond","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":484861,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70074379,"text":"70074379 - 2012 - Geology and sequence stratigraphy of undiscovered oil and gas resources in conventional and continuous petroleum systems in the Upper Cretaceous Eagle Ford Group and related strata, U.S. Gulf Coast Region","interactions":[],"lastModifiedDate":"2014-05-27T10:28:35","indexId":"70074379","displayToPublicDate":"2013-01-01T09:42:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1871,"text":"Gulf Coast Association of Geological Societies Transactions","active":true,"publicationSubtype":{"id":10}},"title":"Geology and sequence stratigraphy of undiscovered oil and gas resources in conventional and continuous petroleum systems in the Upper Cretaceous Eagle Ford Group and related strata, U.S. Gulf Coast Region","docAbstract":"The U.S. Geological Survey (USGS) recently assessed the technically recoverable undiscovered oil and gas onshore and in State waters of the Gulf Coast region of the United States. The USGS defined three assessment units (AUs) with potential undiscovered conventional and continuous oil and gas resources in Upper Cretaceous (Cenomanian to Turonian) strata of the Eagle Ford Group and correlative rocks. The assessment is based on geologic elements of a total petroleum system, including hydrocarbon source rocks (source rock maturation, hydrocarbon generation and migration), reservoir rocks (sequence stratigraphy and petrophysical properties), and traps (formation, timing, and seals). Conventional oil and gas undiscovered resources are in updip sandstone reservoirs in the Upper Cretaceous Tuscaloosa and Woodbine Formations (or Groups) in Louisiana and Texas, respectively, whereas continuous oil and continuous gas undiscovered resources reside in the middip and downdip Upper Cretaceous Eagle Ford Shale in Texas and the Tuscaloosa marine shale in Louisiana. Conventional resources in the Tuscaloosa and Woodbine are included in the Eagle Ford Updip Sandstone Oil and Gas AU, in an area where the Eagle Ford Shale and Tuscaloosa marine shale display vitrinite reflectance (Ro) values less than 0.6%. The continuous Eagle Ford Shale Oil AU lies generally south of the conventional AU, is primarily updip of the Lower Cretaceous shelf edge, and is defined by thermal maturity values within shales of the Eagle Ford and Tuscaloosa that range from 0.6 to 1.2% Ro. Similarly, the Eagle Ford Shale Gas AU is defined downdip of the shelf edge where source rocks have Ro values greater than 1.2%. For undiscovered oil and gas resources, the USGS assessed means of: 1) 141 million barrels of oil (MMBO), 502 billion cubic feet of natural gas (BCFG), and 4 million barrels of natural gas liquids (MMBNGL) in the Eagle Ford Updip Sandstone Oil and Gas AU; 2) 853 MMBO, 1707 BCFG, and 34 MMBNGL in the Eagle Ford Shale Oil AU; and 3) 50,219 BCFG and 2009 MMBNGL in the Eagle Ford Shale Gas AU.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Gulf Coast Association of Geological Societies Transactions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Gulf Coast Association of Geological Societies","publisherLocation":"New Orleans, LA","usgsCitation":"Dubiel, R.F., Pearson, O.N., Pitman, J.K., Pearson, K.M., and Kinney, S.A., 2012, Geology and sequence stratigraphy of undiscovered oil and gas resources in conventional and continuous petroleum systems in the Upper Cretaceous Eagle Ford Group and related strata, U.S. Gulf Coast Region: Gulf Coast Association of Geological Societies Transactions, v. 62, p. 57-72.","productDescription":"16 p.","startPage":"57","endPage":"72","numberOfPages":"16","ipdsId":"IP-037167","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":287584,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281658,"type":{"id":15,"text":"Index Page"},"url":"https://archives.datapages.com/data/gcags/data/062/062001/57_gcags620057.htm"}],"country":"United States","state":"Louisiana;Texas","otherGeospatial":"Gulf Coast","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.16,23.01 ], [ -104.16,39.44 ], [ -76.76,39.44 ], [ -76.76,23.01 ], [ -104.16,23.01 ] ] ] } } ] }","volume":"62","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385b3f6e4b09e18fc023a4e","contributors":{"authors":[{"text":"Dubiel, Russell F. 0000-0002-1280-0350 rdubiel@usgs.gov","orcid":"https://orcid.org/0000-0002-1280-0350","contributorId":1294,"corporation":false,"usgs":true,"family":"Dubiel","given":"Russell","email":"rdubiel@usgs.gov","middleInitial":"F.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":489543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearson, Ofori N. 0000-0002-9550-1128 opearson@usgs.gov","orcid":"https://orcid.org/0000-0002-9550-1128","contributorId":1680,"corporation":false,"usgs":true,"family":"Pearson","given":"Ofori","email":"opearson@usgs.gov","middleInitial":"N.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":489545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":489542,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearson, Krystal M. kpearson@usgs.gov","contributorId":3861,"corporation":false,"usgs":true,"family":"Pearson","given":"Krystal","email":"kpearson@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":489546,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kinney, Scott A. 0000-0001-5008-5813 skinney@usgs.gov","orcid":"https://orcid.org/0000-0001-5008-5813","contributorId":1395,"corporation":false,"usgs":true,"family":"Kinney","given":"Scott","email":"skinney@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":489544,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047464,"text":"70047464 - 2012 - Late Quaternary sedimentological and climate changes at Lake Bosumtwi Ghana: new constraints from laminae analysis and radiocarbon age modeling","interactions":[],"lastModifiedDate":"2013-08-07T09:42:55","indexId":"70047464","displayToPublicDate":"2013-01-01T09:37:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary sedimentological and climate changes at Lake Bosumtwi Ghana: new constraints from laminae analysis and radiocarbon age modeling","docAbstract":"The Lake Bosumtwi sediment record represents one of the longest and highest-resolution terrestrial records of paleoclimate change available from sub-Saharan Africa. Here we report a new sediment age model framework for the last ~ 45 cal kyr of sedimentation using a combination of high-resolution radiocarbon dating, Bayesian age-depth modeling and lamination counting. Our results highlight the practical limits of these methods for reducing age model uncertainties and suggest that even with very high sampling densities, radiocarbon uncertainties of at least a few hundred years are unavoidable. Age model uncertainties are smallest during the Holocene (205 yr) and the glacial (360 yr) but are large at the base of the record (1660 yr), due to a combination of decreasing sample density, larger calibration uncertainties and increases in radiocarbon age scatter. For portions of the chronology older than ~ 35 cal kyr, additional considerations, such as the use of a low-blank graphitization system and more rigorous sample pretreatment were necessary to generate a reliable age depth model because of the incorporation of small amounts of younger carbon. A comparison of radiocarbon age model results and lamination counts over the time interval ~ 15–30 cal kyr agree with an overall discrepancy of ~ 10% and display similar changes in sedimentation rate, supporting the annual nature of sediment laminations in the early part of the record. Changes in sedimentation rates reconstructed from the age-depth model indicate that intervals of enhanced sediment delivery occurred at 16–19, 24 and 29–31 cal kyr, broadly synchronous with reconstructed drought episodes elsewhere in northern West Africa and potentially, with changes in Atlantic meridional heat transport during North Atlantic Heinrich events. These data suggest that millennial-scale drought events in the West African monsoon region were latitudinally extensive, reaching within several hundred kilometers of the Guinea coast. This is inconsistent with a simple southward shift in the mean position of the monsoon rainbelt, and requires changes in moisture convergence as a result of either a reduction in the moisture content of the tropical rainbelt, decreased convection, or both.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Palaeogeography, Palaeoclimatology, Palaeoecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2012.08.001","usgsCitation":"Shanahan, T.M., Beck, J.W., Overpeck, J.T., McKay, N.P., Pigati, J., Peck, J.A., Scholz, C.A., Heil, C.W., and King, J.W., 2012, Late Quaternary sedimentological and climate changes at Lake Bosumtwi Ghana: new constraints from laminae analysis and radiocarbon age modeling: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 361-362, p. 49-60, https://doi.org/10.1016/j.palaeo.2012.08.001.","productDescription":"12 p.","startPage":"49","endPage":"60","ipdsId":"IP-035765","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":488165,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/gsofacpubs/1668","text":"External Repository"},{"id":276150,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276149,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.palaeo.2012.08.001"}],"country":"Ghana","otherGeospatial":"Lake Bosumtwi","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -1.446644,6.470923 ], [ -1.446644,6.540851 ], [ -1.371768,6.540851 ], [ -1.371768,6.470923 ], [ -1.446644,6.470923 ] ] ] } } ] }","volume":"361-362","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5203a37ce4b02bdb1bc63fce","contributors":{"authors":[{"text":"Shanahan, Timothy M.","contributorId":85082,"corporation":false,"usgs":true,"family":"Shanahan","given":"Timothy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":482106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beck, J. Warren","contributorId":106555,"corporation":false,"usgs":true,"family":"Beck","given":"J.","email":"","middleInitial":"Warren","affiliations":[],"preferred":false,"id":482109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Overpeck, Jonathan T.","contributorId":28469,"corporation":false,"usgs":true,"family":"Overpeck","given":"Jonathan","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":482103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKay, Nicholas P. 0000-0003-3598-5113","orcid":"https://orcid.org/0000-0003-3598-5113","contributorId":7612,"corporation":false,"usgs":true,"family":"McKay","given":"Nicholas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":482101,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":60068,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey S.","affiliations":[],"preferred":false,"id":482105,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peck, John A.","contributorId":104390,"corporation":false,"usgs":true,"family":"Peck","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":482108,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Scholz, Christopher A.","contributorId":18259,"corporation":false,"usgs":true,"family":"Scholz","given":"Christopher","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":482102,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Heil, Clifford W. Jr.","contributorId":44454,"corporation":false,"usgs":true,"family":"Heil","given":"Clifford","suffix":"Jr.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":482104,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"King, John W.","contributorId":99601,"corporation":false,"usgs":false,"family":"King","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":482107,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70047303,"text":"70047303 - 2012 - Holocene dune formation at Ash Meadows National Wildlife Area, Nevada, USA","interactions":[],"lastModifiedDate":"2013-07-31T10:01:09","indexId":"70047303","displayToPublicDate":"2013-01-01T09:28:25","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Holocene dune formation at Ash Meadows National Wildlife Area, Nevada, USA","docAbstract":"Small isolated dune fields in the northern Mojave Desert are important centers of biodiversity and archaeological occupation sites. Currently dunes at Ash Meadows, Nevada, are stabilized by vegetation and are experiencing erosion of their upwind margins, indicating a negative sediment budget. New OSL ages from dunes at Ash Meadows indicate continuous eolian accumulation from 1.5 to 0.8 ka, with further accumulation around 0.2 ka. Prior studies (e.g., Mehringer and Warren, 1976) indicate periods of dune accumulation prior to 3.3 ka; 1.9–1 ka; and after 0.9 ka. These periods of eolian accumulation are largely synchronous with those identified elsewhere in the Mojave Desert. The composition of the Ash Meadows dunes indicates their derivation from regional fluvial sources, most likely during periods when axial washes were active as a result of enhanced winter precipitation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.yqres.2012.05.012","usgsCitation":"Lancaster, N., and Mahan, S., 2012, Holocene dune formation at Ash Meadows National Wildlife Area, Nevada, USA: Quaternary Research, v. 78, no. 2, p. 266-274, https://doi.org/10.1016/j.yqres.2012.05.012.","productDescription":"9 p.","startPage":"266","endPage":"274","ipdsId":"IP-035031","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":275614,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275613,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.yqres.2012.05.012"}],"otherGeospatial":"Ash Meadows National Wildlife Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.379135,36.357345 ], [ -116.379135,36.494958 ], [ -116.24791,36.494958 ], [ -116.24791,36.357345 ], [ -116.379135,36.357345 ] ] ] } } ] }","volume":"78","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-06-27","publicationStatus":"PW","scienceBaseUri":"51fa31e4e4b076c3a8d8264f","contributors":{"authors":[{"text":"Lancaster, Nicholas","contributorId":11879,"corporation":false,"usgs":true,"family":"Lancaster","given":"Nicholas","affiliations":[],"preferred":false,"id":481670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahan, Shannon 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":1215,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":481669,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046850,"text":"70046850 - 2012 - Emerging contaminants at a closed and an operating landfill in Oklahoma","interactions":[],"lastModifiedDate":"2020-02-26T17:38:40","indexId":"70046850","displayToPublicDate":"2013-01-01T09:26:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1866,"text":"Groundwater Monitoring & Remediation","active":true,"publicationSubtype":{"id":10}},"title":"Emerging contaminants at a closed and an operating landfill in Oklahoma","docAbstract":"Landfills are the final depositories for a wide range of solid waste from both residential and commercial sources, and therefore have the potential to produce leachate containing many organic compounds found in consumer products such as pharmaceuticals, plasticizers, disinfectants, cleaning agents, fire retardants, flavorings, and preservatives, known as emerging contaminants (ECs). Landfill leachate was sampled from landfill cells of three different age ranges from two landfills in Central Oklahoma. Samples were collected from an old cell containing solid waste greater than 25 years old, an intermediate age cell with solid waste between 16 and 3 years old, and operating cell with solid waste less than 5 years old to investigate the chemical variability and persistence of selected ECs in landfill leachate of differing age sources. Twenty-eight of 69 analyzed ECs were detected in one or more samples from the three leachate sources. Detected ECs ranged in concentration from 0.11 to 114 μg/L and included 4 fecal and plant sterols, 13 household\\industrial, 7 hydrocarbon, and 4 pesticide compounds. Four ECs were solely detected in the oldest leachate sample, two ECs were solely detected in the intermediate leachate sample, and no ECs were solely detected in the youngest leachate sample. Eleven ECs were commonly detected in all three leachate samples and are an indication of the contents of solid waste deposited over several decades and the relative resistance of some ECs to natural attenuation processes in and near landfills.","language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6592.2011.01373.x","usgsCitation":"Andrews, W.J., Masoner, J.R., and Cozzarelli, I.M., 2012, Emerging contaminants at a closed and an operating landfill in Oklahoma: Groundwater Monitoring & Remediation, v. 32, no. 1, p. 120-130, https://doi.org/10.1111/j.1745-6592.2011.01373.x.","productDescription":"11 p.","startPage":"120","endPage":"130","ipdsId":"IP-029569","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":274733,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70048115,"text":"70048115 - 2012 - Modeling responses of large-river fish populations to global climate change through downscaling and incorporation of predictive uncertainty","interactions":[],"lastModifiedDate":"2017-05-23T16:29:45","indexId":"70048115","displayToPublicDate":"2013-01-01T09:24:42","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Modeling responses of large-river fish populations to global climate change through downscaling and incorporation of predictive uncertainty","docAbstract":"Climate change operates over a broad range of spatial and temporal scales.   Understanding its effects on ecosystems requires multi-scale models. For understanding effects on fish populations of riverine ecosystems, climate predicted by coarse-resolution Global Climate Models must be downscaled to Regional Climate Models to watersheds to river hydrology to population response. An additional challenge is quantifying sources of uncertainty given the highly nonlinear nature of interactions between climate variables and community level processes. We present a modeling approach for understanding and accomodating uncertainty by applying multi-scale climate models and a hierarchical Bayesian modeling framework to Midwest fish population dynamics and by linking models for system components together by formal rules of probability. The proposed hierarchical modeling approach will account for sources of uncertainty in forecasts of community or population response. The goal is to evaluate the potential distributional changes in an ecological system, given distributional changes implied by a series of linked climate and system models under various emissions/use scenarios. This understanding will aid evaluation of management options for coping with global climate change. In our initial analyses, we found that predicted pallid sturgeon population responses were dependent on the climate scenario considered.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"9th International Symposium on Ecohydraulics 2012 Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","usgsCitation":"Wildhaber, M.L., Wikle, C.K., Anderson, C.J., Franz, K.J., Moran, E.H., and Dey, R., 2012, Modeling responses of large-river fish populations to global climate change through downscaling and incorporation of predictive uncertainty, <i>in</i> 9th International Symposium on Ecohydraulics 2012 Proceedings, 8 p.","productDescription":"8 p.","numberOfPages":"8","ipdsId":"IP-035667","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":287648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,-90.0 ], [ -180.0,90.0 ], [ 180.0,90.0 ], [ 180.0,-90.0 ], [ -180.0,-90.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5387056ee4b0aa26cd7b53d1","contributors":{"editors":[{"text":"Mader, Helmut","contributorId":111577,"corporation":false,"usgs":true,"family":"Mader","given":"Helmut","email":"","affiliations":[],"preferred":false,"id":509597,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Kraml, Julia","contributorId":112880,"corporation":false,"usgs":true,"family":"Kraml","given":"Julia","email":"","affiliations":[],"preferred":false,"id":509598,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":483779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wikle, Christopher K.","contributorId":55680,"corporation":false,"usgs":true,"family":"Wikle","given":"Christopher","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":483783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Christopher J.","contributorId":11516,"corporation":false,"usgs":true,"family":"Anderson","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":483781,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Franz, Kristie J.","contributorId":36061,"corporation":false,"usgs":true,"family":"Franz","given":"Kristie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":483782,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moran, Edward H. emoran@usgs.gov","contributorId":5445,"corporation":false,"usgs":true,"family":"Moran","given":"Edward","email":"emoran@usgs.gov","middleInitial":"H.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":483780,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dey, Rima","contributorId":81210,"corporation":false,"usgs":true,"family":"Dey","given":"Rima","email":"","affiliations":[],"preferred":false,"id":483784,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70047469,"text":"70047469 - 2012 - Characterization of previously unidentified lunar pyroclastic deposits using Lunar Reconnaissance Orbiter Camera (LROC) data","interactions":[],"lastModifiedDate":"2019-02-12T09:42:40","indexId":"70047469","displayToPublicDate":"2013-01-01T09:23:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of previously unidentified lunar pyroclastic deposits using Lunar Reconnaissance Orbiter Camera (LROC) data","docAbstract":"We used a Lunar Reconnaissance Orbiter Camera (LROC) global monochrome Wide-angle Camera (WAC) mosaic to conduct a survey of the Moon to search for previously unidentified pyroclastic deposits. Promising locations were examined in detail using LROC multispectral WAC mosaics, high-resolution LROC Narrow Angle Camera (NAC) images, and Clementine multispectral (ultraviolet-visible or UVVIS) data. Out of 47 potential deposits chosen for closer examination, 12 were selected as probable newly identified pyroclastic deposits. Potential pyroclastic deposits were generally found in settings similar to previously identified deposits, including areas within or near mare deposits adjacent to highlands, within floor-fractured craters, and along fissures in mare deposits. However, a significant new finding is the discovery of localized pyroclastic deposits within floor-fractured craters Anderson E and F on the lunar farside, isolated from other known similar deposits. Our search confirms that most major regional and localized low-albedo pyroclastic deposits have been identified on the Moon down to ~100 m/pix resolution, and that additional newly identified deposits are likely to be either isolated small deposits or additional portions of discontinuous, patchy deposits.","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2011JE003893","usgsCitation":"Gustafson, J.O., Bell, J., Gaddis, L.R., Hawke, B.R., and Giguere, T.A., 2012, Characterization of previously unidentified lunar pyroclastic deposits using Lunar Reconnaissance Orbiter Camera (LROC) data: Journal of Geophysical Research E: Planets, v. 117, no. E12, 21 p., https://doi.org/10.1029/2011JE003893.","productDescription":"21 p.","ipdsId":"IP-038463","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":474119,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011je003893","text":"Publisher Index Page"},{"id":276148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Moon","volume":"117","issue":"E12","noUsgsAuthors":false,"publicationDate":"2012-06-08","publicationStatus":"PW","scienceBaseUri":"5203a376e4b02bdb1bc63f86","contributors":{"authors":[{"text":"Gustafson, J. Olaf","contributorId":80175,"corporation":false,"usgs":true,"family":"Gustafson","given":"J.","email":"","middleInitial":"Olaf","affiliations":[],"preferred":false,"id":482125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bell, James F.","contributorId":44823,"corporation":false,"usgs":true,"family":"Bell","given":"James F.","affiliations":[],"preferred":false,"id":482123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gaddis, Lisa R. 0000-0001-9953-5483 lgaddis@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-5483","contributorId":2817,"corporation":false,"usgs":true,"family":"Gaddis","given":"Lisa","email":"lgaddis@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":482126,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawke, B. Ray","contributorId":76570,"corporation":false,"usgs":true,"family":"Hawke","given":"B.","email":"","middleInitial":"Ray","affiliations":[],"preferred":false,"id":482124,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Giguere, Thomas A.","contributorId":11030,"corporation":false,"usgs":true,"family":"Giguere","given":"Thomas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":482122,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70115387,"text":"70115387 - 2012 - Assessing consumption of bioactive micro-particles by filter-feeding Asian carp","interactions":[],"lastModifiedDate":"2014-07-03T09:34:39","indexId":"70115387","displayToPublicDate":"2013-01-01T09:16:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2174,"text":"Journal of Aquaculture Research & Development","active":true,"publicationSubtype":{"id":10}},"title":"Assessing consumption of bioactive micro-particles by filter-feeding Asian carp","docAbstract":"Silver carp <i>Hypophthalmichthys molitrix</i> (SVC) and bighead carp <i>H. nobilis</i> (BHC) have impacted waters in the US since their escape. Current chemical controls for aquatic nuisance species are non-selective. Development of a bioactive micro-particle that exploits filter-feeding habits of SVC or BHC could result in a new control tool. It is not fully understood if SVC or BHC will consume bioactive micro-particles. Two discrete trials were performed to: 1) evaluate if SVC and BHC consume the candidate micro-particle formulation; 2) determine what size they consume; 3) establish methods to evaluate consumption of filter-feeders for future experiments. Both SVC and BHC were exposed to small (50-100 μm) and large (150-200 μm) micro-particles in two 24-h trials. Particles in water were counted electronically and manually (microscopy). Particles on gill rakers were counted manually and intestinal tracts inspected for the presence of micro-particles. In Trial 1, both manual and electronic count data confirmed reductions of both size particles; SVC appeared to remove more small particles than large; more BHC consumed particles; SVC had fewer overall particles in their gill rakers than BHC. In Trial 2, electronic counts confirmed reductions of both size particles; both SVC and BHC consumed particles, yet more SVC consumed micro-particles compared to BHC. Of the fish that ate micro-particles, SVC consumed more than BHC. It is recommended to use multiple metrics to assess consumption of candidate micro-particles by filter-feeders when attempting to distinguish differential particle consumption. This study has implications for developing micro-particles for species-specific delivery of bioactive controls to help fisheries, provides some methods for further experiments with bioactive micro-particles, and may also have applications in aquaculture.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Aquaculture Research & Development","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"OMICS Publishing Group","doi":"10.4172/2155-9546.1000126","usgsCitation":"Jensen, N.R., Amberg, J., Luoma, J.A., Walleser, L.R., and Gaikowski, M.P., 2012, Assessing consumption of bioactive micro-particles by filter-feeding Asian carp: Journal of Aquaculture Research & Development, v. 3, no. 2, 6 p., https://doi.org/10.4172/2155-9546.1000126.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"Y","ipdsId":"IP-035603","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":488255,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://doi.org/10.4172/2155-9546.1000126","text":"Publisher Index Page"},{"id":289413,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289399,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4172/2155-9546.1000126"},{"id":289400,"type":{"id":15,"text":"Index Page"},"url":"https://omicsonline.org/assessing-consumption-of-bioactive-micro-particles-by-filter-feeding-asian-carp-2155-9546.1000126.php?aid=5288"}],"volume":"3","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b67b64e4b014fc094d5459","contributors":{"authors":[{"text":"Jensen, Nathan R. njensen@usgs.gov","contributorId":3911,"corporation":false,"usgs":true,"family":"Jensen","given":"Nathan","email":"njensen@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":495616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amberg, Jon J. jamberg@usgs.gov","contributorId":797,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon J.","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":495615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luoma, James A. 0000-0003-3556-0190 jluoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3556-0190","contributorId":4449,"corporation":false,"usgs":true,"family":"Luoma","given":"James","email":"jluoma@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":495618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walleser, Liza R. lwalleser@usgs.gov","contributorId":4329,"corporation":false,"usgs":true,"family":"Walleser","given":"Liza","email":"lwalleser@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":495617,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gaikowski, Mark P. 0000-0002-6507-9341 mgaikowski@usgs.gov","orcid":"https://orcid.org/0000-0002-6507-9341","contributorId":796,"corporation":false,"usgs":true,"family":"Gaikowski","given":"Mark","email":"mgaikowski@usgs.gov","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":495614,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046815,"text":"70046815 - 2012 - Design and development of linked data from the National Map","interactions":[],"lastModifiedDate":"2013-07-09T09:23:53","indexId":"70046815","displayToPublicDate":"2013-01-01T09:05:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3375,"text":"Semantic Web","active":true,"publicationSubtype":{"id":10}},"title":"Design and development of linked data from the National Map","docAbstract":"The development of linked data on the World-Wide Web provides the opportunity for the U.S. Geological Survey (USGS) to supply its extensive volumes of geospatial data, information, and knowledge in a machine interpretable form and reach users and applications that heretofore have been unavailable. To pilot a process to take advantage of this opportunity, the USGS is developing an ontology for The National Map and converting selected data from nine research test areas to a Semantic Web format to support machine processing and linked data access. In a case study, the USGS has developed initial methods for legacy vector and raster formatted geometry, attributes, and spatial relationships to be accessed in a linked data environment maintaining the capability to generate graphic or image output from semantic queries. The description of an initial USGS approach to developing ontology, linked data, and initial query capability from The National Map databases is presented.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Semantic Web","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IOS Press","doi":"10.3233/SW-2011-0054","usgsCitation":"Usery, E.L., and Varanka, D.E., 2012, Design and development of linked data from the National Map: Semantic Web, v. 3, no. 4, p. 371-384, https://doi.org/10.3233/SW-2011-0054.","productDescription":"14 p.","startPage":"371","endPage":"384","ipdsId":"IP-032582","costCenters":[{"id":425,"text":"National Geospatial Technical Operations Center","active":false,"usgs":true}],"links":[{"id":274731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274729,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3233/SW-2011-0054"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.616667,13.233333 ], [ 144.616667,71.833333 ], [ -64.566667,71.833333 ], [ -64.566667,13.233333 ], [ 144.616667,13.233333 ] ] ] } } ] }","volume":"3","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dd30e8e4b0f72b44719c68","contributors":{"authors":[{"text":"Usery, E. Lynn 0000-0002-2766-2173 usery@usgs.gov","orcid":"https://orcid.org/0000-0002-2766-2173","contributorId":231,"corporation":false,"usgs":true,"family":"Usery","given":"E.","email":"usery@usgs.gov","middleInitial":"Lynn","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":480356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Varanka, Dalia E. 0000-0003-2857-9600 dvaranka@usgs.gov","orcid":"https://orcid.org/0000-0003-2857-9600","contributorId":1296,"corporation":false,"usgs":true,"family":"Varanka","given":"Dalia","email":"dvaranka@usgs.gov","middleInitial":"E.","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":480357,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70107101,"text":"70107101 - 2012 - Dryland biological soil crust cyanobacteria show unexpected decreases in abundance under long-term elevated CO<sub>2</sub>","interactions":[],"lastModifiedDate":"2014-05-20T08:57:44","indexId":"70107101","displayToPublicDate":"2013-01-01T08:49:32","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1548,"text":"Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Dryland biological soil crust cyanobacteria show unexpected decreases in abundance under long-term elevated CO<sub>2</sub>","docAbstract":"Biological soil crusts (biocrusts) cover soil surfaces in many drylands globally. The impacts of 10 years of elevated atmospheric CO<sub>2</sub> on the cyanobacteria in biocrusts of an arid shrubland were examined at a large manipulated experiment in Nevada, USA. Cyanobacteria-specific quantitative PCR surveys of cyanobacteria small-subunit (SSU) rRNA genes suggested a reduction in biocrust cyanobacterial biomass in the elevated CO<sub>2</sub> treatment relative to the ambient controls. Additionally, SSU rRNA gene libraries and shotgun metagenomes showed reduced representation of cyanobacteria in the total microbial community. Taxonomic composition of the cyanobacteria was similar under ambient and elevated CO<sub>2</sub> conditions, indicating the decline was manifest across multiple cyanobacterial lineages. Recruitment of cyanobacteria sequences from replicate shotgun metagenomes to cyanobacterial genomes representing major biocrust orders also suggested decreased abundance of cyanobacteria sequences across the majority of genomes tested. Functional assignment of cyanobacteria-related shotgun metagenome sequences indicated that four subsystem categories, three related to oxidative stress, were differentially abundant in relation to the elevated CO<sub>2</sub> treatment. Taken together, these results suggest that elevated CO<sub>2</sub> affected a generalized decrease in cyanobacteria in the biocrusts and may have favoured cyanobacteria with altered gene inventories for coping with oxidative stress.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Microbiology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Blackwell Science","doi":"10.1111/1462-2920.12011","usgsCitation":"Steven, B., Gallegos-Graves, L., Yeager, C.M., Belnap, J., Evans, R.D., and Kuske, C.R., 2012, Dryland biological soil crust cyanobacteria show unexpected decreases in abundance under long-term elevated CO<sub>2</sub>: Environmental Microbiology, v. 14, no. 12, p. 3247-3258, https://doi.org/10.1111/1462-2920.12011.","productDescription":"12 p.","startPage":"3247","endPage":"3258","numberOfPages":"12","ipdsId":"IP-037564","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":287298,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/1462-2920.12011"},{"id":287309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.2793,36.5913 ], [ -116.2793,37.3046 ], [ -115.708,37.3046 ], [ -115.708,36.5913 ], [ -116.2793,36.5913 ] ] ] } } ] }","volume":"14","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"537c7965e4b00e1e1a484854","contributors":{"authors":[{"text":"Steven, Blaire","contributorId":48470,"corporation":false,"usgs":true,"family":"Steven","given":"Blaire","affiliations":[],"preferred":false,"id":493868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallegos-Graves, La Verne","contributorId":97408,"corporation":false,"usgs":true,"family":"Gallegos-Graves","given":"La Verne","affiliations":[],"preferred":false,"id":493871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yeager, Chris M.","contributorId":41301,"corporation":false,"usgs":false,"family":"Yeager","given":"Chris","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":493867,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":493866,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evans, R. David","contributorId":69067,"corporation":false,"usgs":true,"family":"Evans","given":"R.","email":"","middleInitial":"David","affiliations":[],"preferred":false,"id":493869,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kuske, Cheryl R.","contributorId":81063,"corporation":false,"usgs":false,"family":"Kuske","given":"Cheryl","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":493870,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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