{"pageNumber":"880","pageRowStart":"21975","pageSize":"25","recordCount":40783,"records":[{"id":70045285,"text":"70045285 - 2008 - Estimating pore-space gas hydrate saturations from well log acoustic data","interactions":[],"lastModifiedDate":"2017-08-29T14:07:28","indexId":"70045285","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Estimating pore-space gas hydrate saturations from well log acoustic data","docAbstract":"Relating pore-space gas hydrate saturation to sonic velocity data is important for remotely estimating gas hydrate concentration in sediment. In the present study, sonic velocities of gas hydrate–bearing sands are modeled using a three-phase Biot-type theory in which sand, gas hydrate, and pore fluid form three homogeneous, interwoven frameworks. This theory is developed using well log compressional and shear wave velocity data from the Mallik 5L-38 permafrost gas hydrate research well in Canada and applied to well log data from hydrate-bearing sands in the Alaskan permafrost, Gulf of Mexico, and northern Cascadia margin. Velocity-based gas hydrate saturation estimates are in good agreement with Nuclear Magneto Resonance and resistivity log estimates over the complete range of observed gas hydrate saturations.","language":"English","publisher":"Wiley","doi":"10.1029/2008GC002081","usgsCitation":"Lee, M.W., and Waite, W., 2008, Estimating pore-space gas hydrate saturations from well log acoustic data: Geochemistry, Geophysics, Geosystems, v. 9, no. 7, Q07008; 8 p., https://doi.org/10.1029/2008GC002081.","productDescription":"Q07008; 8 p.","ipdsId":"IP-003367","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":476461,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/2327","text":"External Repository"},{"id":272203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"9","issue":"7","noUsgsAuthors":false,"publicationDate":"2008-07-09","publicationStatus":"PW","scienceBaseUri":"53cd580ce4b0b290850f7d5d","contributors":{"authors":[{"text":"Lee, Myung W. mlee@usgs.gov","contributorId":779,"corporation":false,"usgs":true,"family":"Lee","given":"Myung","email":"mlee@usgs.gov","middleInitial":"W.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":477193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waite, William F. 0000-0002-9436-4109 wwaite@usgs.gov","orcid":"https://orcid.org/0000-0002-9436-4109","contributorId":625,"corporation":false,"usgs":true,"family":"Waite","given":"William F.","email":"wwaite@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":477192,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042063,"text":"70042063 - 2008 - Metals fate and transport modelling in streams and watersheds: state of the science and USEPA workshop review","interactions":[],"lastModifiedDate":"2018-10-17T08:18:39","indexId":"70042063","displayToPublicDate":"2012-12-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Metals fate and transport modelling in streams and watersheds: state of the science and USEPA workshop review","docAbstract":"Metals pollution in surface waters from point and non-point sources (NPS) is a widespread problem in the United States and worldwide (Lofts <i>et al.</i>, 2007; USEPA, 2007). In the western United States, metals associated with acid mine drainage (AMD) from hardrock mines in mountainous areas impact aquatic ecosystems and human health (USEPA, 1997a; Caruso and Ward, 1998; Church <i>et al.</i>, 2007). Metals fate and transport modelling in streams and watersheds is sometimes needed for assessment and restoration of surface waters, including mining-impacted streams (Runkel and Kimball, 2002; Caruso, 2003; Velleux <i>et al.</i>, 2006). The Water Quality Analysis Simulation Program (WASP; Wool <i>et al.</i>, 2001), developed by the US Environmental Protection Agency (USEPA), is an example of a model used for such analyses. Other approaches exist and appropriate model selection depends on site characteristics, data availability and modelling objectives. However, there are a wide range of assumptions, input parameters, data requirements and gaps, and calibration and validation issues that must be addressed by model developers, users and decision makers. Despite substantial work on model development, their successful application has been more limited because they are not often used by decision makers for stream and watershed assessment and restoration. Bringing together scientists, model developers, users and decision makers should stimulate the development of appropriate models and improve the applicability of their results. To address these issues, the USEPA Office of Research and Development and Region 8 (Colorado, Montana, North Dakota, South Dakota, Utah and Wyoming) hosted a workshop in Denver, Colorado on February 13–14, 2007. The workshop brought together approximately 35 experts from government, academia and consulting to address the state of the art for modelling metals fate and transport, knowledge gaps and future directions in metals modelling. It focused on modelling metals in high-altitude streams, rivers and watersheds impacted by mine waste that are common in the western United States and require remediation. For example, there are over 100 000 abandoned or inactive mining sites across the United States, encompassing over 500 000 acres of land that may eventually require characterization and remediation, including the possible application of stream or watershed metals fate and transport modelling (USEPA, 1997a). This article provides a general overview of the state of the science on modelling metals fate and transport in streams and watersheds, including a review of presentations and discussions at the USEPA workshop. It builds on previous summaries of metals fate and transport models in aquatic systems, including USEPA (1997b, 2007), Allen (2002), Paquin <i>et al.</i> (2003), Nordstrom (2004) and Maest <i>et al.</i> (2005).","language":"English","publisher":"Wiley","doi":"10.1002/hyp.7114","usgsCitation":"Caruso, B., Cox, T., Runkel, R.L., Velleux, M., Bencala, K.E., Nordstrom, D.K., Julien, P., Butler, B.A., Alpers, C.N., Marion, A., and Smith, K.S., 2008, Metals fate and transport modelling in streams and watersheds: state of the science and USEPA workshop review: Hydrological Processes, v. 22, no. 19, p. 4011-4021, https://doi.org/10.1002/hyp.7114.","productDescription":"11 p.","startPage":"4011","endPage":"4021","temporalStart":"2007-02-13","temporalEnd":"2007-02-14","ipdsId":"IP-008246","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":264975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264974,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.7114"}],"country":"United States","state":"Colorado","city":"Denver","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.21,39.54 ], [ -105.21,40.0 ], [ -104.49,40.0 ], [ -104.49,39.54 ], [ -105.21,39.54 ] ] ] } } ] }","volume":"22","issue":"19","noUsgsAuthors":false,"publicationDate":"2008-08-28","publicationStatus":"PW","scienceBaseUri":"50e5d16ae4b0a4aa5bb0b27b","contributors":{"authors":[{"text":"Caruso, B.S.","contributorId":82999,"corporation":false,"usgs":true,"family":"Caruso","given":"B.S.","email":"","affiliations":[],"preferred":false,"id":470718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cox, T.J.","contributorId":98121,"corporation":false,"usgs":true,"family":"Cox","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":470719,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Velleux, M.L.","contributorId":46852,"corporation":false,"usgs":true,"family":"Velleux","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":470716,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bencala, Kenneth E. kbencala@usgs.gov","contributorId":1541,"corporation":false,"usgs":true,"family":"Bencala","given":"Kenneth","email":"kbencala@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":470713,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":470720,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Julien, P.Y.","contributorId":36820,"corporation":false,"usgs":true,"family":"Julien","given":"P.Y.","affiliations":[],"preferred":false,"id":470714,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Butler, B. A.","contributorId":49425,"corporation":false,"usgs":true,"family":"Butler","given":"B.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":470717,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":470711,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Marion, A.","contributorId":40487,"corporation":false,"usgs":true,"family":"Marion","given":"A.","email":"","affiliations":[],"preferred":false,"id":470715,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Smith, Kathleen S. 0000-0001-8547-9804 ksmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8547-9804","contributorId":182,"corporation":false,"usgs":true,"family":"Smith","given":"Kathleen","email":"ksmith@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":470710,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70038490,"text":"70038490 - 2008 - Top 10 principles for designing healthy coastal ecosystems like the Salish Sea","interactions":[],"lastModifiedDate":"2023-10-13T11:06:14.604618","indexId":"70038490","displayToPublicDate":"2012-06-26T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1443,"text":"EcoHealth","active":true,"publicationSubtype":{"id":10}},"title":"Top 10 principles for designing healthy coastal ecosystems like the Salish Sea","docAbstract":"Like other coastal zones around the world, the inland sea ecosystem of Washington (USA) and British Columbia (Canada), an area known as the Salish Sea, is changing under pressure from a growing human population, conversion of native forest and shoreline habitat to urban development, toxic contamination of sediments and species, and overharvest of resources. While billions of dollars have been spent trying to restore other coastal ecosystems around the world, there still is no successful model for restoring estuarine or marine ecosystems like the Salish Sea. Despite the lack of a guiding model, major ecological principles do exist that should be applied as people work to design the Salish Sea and other large marine ecosystems for the future. We suggest that the following 10 ecological principles serve as a foundation for educating the public and for designing a healthy Salish Sea and other coastal ecosystems for future generations: (1) Think ecosystem: political boundaries are arbitrary; (2) Account for ecosystem connectivity; (3) Understand the food web; (4) Avoid fragmentation; (5) Respect ecosystem integrity; (6) Support nature's resilience; (7) Value nature: it's money in your pocket; (8) Watch wildlife health; (9) Plan for extremes; and (10) Share the knowledge.","language":"English","publisher":"Springer","doi":"10.1007/s10393-009-0209-1","usgsCitation":"Gaydos, J.K., Dierauf, L., Kirby, G., Brosnan, D., Gilardi, K., and Davis, G.E., 2008, Top 10 principles for designing healthy coastal ecosystems like the Salish Sea: EcoHealth, v. 5, no. 4, p. 460-471, https://doi.org/10.1007/s10393-009-0209-1.","productDescription":"12 p.","startPage":"460","endPage":"471","ipdsId":"IP-008322","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":597,"text":"U.S. Geological Survey Northwest Area","active":false,"usgs":true}],"links":[{"id":476462,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10393-009-0209-1","text":"Publisher Index Page"},{"id":257929,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, Washington","otherGeospatial":"Georgia Basin, Puget Sound, Salish Sea","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -126.83333333333333,46.25 ], [ -126.83333333333333,51.5 ], [ -120.5,51.5 ], [ -120.5,46.25 ], [ -126.83333333333333,46.25 ] ] ] } } ] }","volume":"5","issue":"4","noUsgsAuthors":false,"publicationDate":"2009-03-04","publicationStatus":"PW","scienceBaseUri":"505bb43fe4b08c986b326281","contributors":{"authors":[{"text":"Gaydos, Joseph K.","contributorId":28456,"corporation":false,"usgs":true,"family":"Gaydos","given":"Joseph","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":464394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dierauf, Leslie","contributorId":6697,"corporation":false,"usgs":true,"family":"Dierauf","given":"Leslie","affiliations":[],"preferred":false,"id":464393,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirby, Grant","contributorId":52438,"corporation":false,"usgs":true,"family":"Kirby","given":"Grant","affiliations":[],"preferred":false,"id":464395,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brosnan, Deborah","contributorId":97747,"corporation":false,"usgs":true,"family":"Brosnan","given":"Deborah","affiliations":[],"preferred":false,"id":464398,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gilardi, Kirsten","contributorId":89754,"corporation":false,"usgs":true,"family":"Gilardi","given":"Kirsten","affiliations":[],"preferred":false,"id":464397,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davis, Gary E.","contributorId":73235,"corporation":false,"usgs":true,"family":"Davis","given":"Gary","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":464396,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70038325,"text":"70038325 - 2008 - Long-term dynamics of leafy spurge (Euphorbia esula) and its biocontrol agent, flea beetles in the genus Aphthona","interactions":[],"lastModifiedDate":"2019-10-07T09:25:41","indexId":"70038325","displayToPublicDate":"2012-05-06T18:21:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1016,"text":"Biological Control","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Long-term dynamics of leafy spurge (<i>Euphorbia esula</i>) and its biocontrol agent, flea beetles in the genus <i>Aphthona</i>","title":"Long-term dynamics of leafy spurge (Euphorbia esula) and its biocontrol agent, flea beetles in the genus Aphthona","docAbstract":"Three flea beetle species (<i>Aphthona</i> spp.), first introduced into North America in 1988, have come to be regarded as effective biological control organisms for leafy spurge (<i>Euphorbia esula</i>). The black flea beetles (<i>Aphthona lacertosa</i> and <i>A. czwalinae</i>) in particular have been shown to cause reductions in leafy spurge stem counts in the northern Great Plains, while the brown flea beetle (<i>A. nigriscutis</i>) has persisted and spread, but has not been found to be as effective at controlling leafy spurge. The ability of black flea beetles to control leafy spurge in any given year, however, has been found to vary. To better understand the long-term effects of flea beetle herbivory on leafy spurge, we monitored stem counts of leafy spurge and numbers of black and brown flea beetles at three sites on two National Wildlife Refuges in east-central North Dakota, USA, from 1998 to 2006. Brown flea beetle numbers were observed to be negligible on these sites. Over the 9 years of the study, black flea beetles were seen to spread over the three study sites and leafy spurge stem counts declined substantially on two of the three sites. Even at low densities of spurge, black flea beetle populations persisted, a necessary prerequisite for long-term control. We used structural equation models (SEM) to assess the yearly effects of black flea beetles, soil texture, and refuge site on leafy spurge stem counts over this time period. We then used equations developed from the SEM analysis to explore flea beetle&ndash;leafy spurge dynamics over time, after controlling for soil texture and refuge. Yearly effect strength of black flea beetles on leafy spurge was found to be modest, largely owing to substantial spatial variability in control. However, simulation results based on prediction coefficients revealed leafy spurge to be highly responsive to increases in flea beetle populations on average.","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocontrol.2008.07.016","usgsCitation":"Larson, D.L., Grace, J.B., and Larson, J.L., 2008, Long-term dynamics of leafy spurge (Euphorbia esula) and its biocontrol agent, flea beetles in the genus Aphthona: Biological Control, v. 47, no. 2, p. 250-256, https://doi.org/10.1016/j.biocontrol.2008.07.016.","productDescription":"7 p.","startPage":"250","endPage":"256","temporalStart":"1998-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":254780,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North 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Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":463884,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larson, Jennifer L. 0000-0002-6259-0101","orcid":"https://orcid.org/0000-0002-6259-0101","contributorId":68144,"corporation":false,"usgs":true,"family":"Larson","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":463886,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003719,"text":"70003719 - 2008 - Hematite spherules at Meridiani: results from MI, Mini-TES, and Pancam","interactions":[],"lastModifiedDate":"2018-11-27T10:31:38","indexId":"70003719","displayToPublicDate":"2012-01-01T13:40:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Hematite spherules at Meridiani: results from MI, Mini-TES, and Pancam","docAbstract":"<p><span>We report on observations of hematite‐bearing spherules at Meridiani Planum made using the Microscopic Imager (MI), Mini‐Thermal Emission Spectrometer (Mini‐TES), and Panoramic Camera (Pancam) instruments on the Mars Exploration Rover Opportunity. Spherules were observed on soil surfaces and in outcrop rocks, both on undisturbed surfaces and in abraded surfaces ground using the Rock Abrasion Tool (RAT). Spherule size and shape change little along the 850 m eastward traverse from Eagle Crater to Endurance Crater, but spherules decrease and then slightly increase in size along the 6 km traverse from Endurance south to Victoria Crater. Local populations range from submillimeters to several millimeters in diameter. An additional small diameter (100&nbsp;</span><i>μ</i><span>m) size population is possible. An increase in irregular shapes is found near Victoria Crater. This, combined with the size decrease south of Endurance, suggests either a changing depositional environment, or variation in the duration and timing of diagenetic events. The dominant smaller size population observed early in the mission in aeolian areas and ripple crests is observed as the primary size population in abraded outcrop farther south. This suggests that successively younger beds are exposed at the surface along the southward traverse. Stratigraphically higher units removed by erosion could be recorded by the present surface lag deposit. Coordinated systematic observations are used to determine optical and infrared hematite indices of the surface soils in Pancam and Mini‐TES. In spite of the systematic variation seen in MI, both Pancam and Mini‐TES indices are highly variable based on the local surface, and neither show systematic trends south of Endurance. The lack of a 390 cm</span><sup>−1</sup><span>&nbsp;feature in Mini‐TES spectra suggests concentric or radial interior structure within the spherules at scales too fine for MI to observe. Mini‐TES does not detect any silicate component in the spherules. A bound water component in soils or in exchange with the atmosphere is observed. These spherules have been previously interpreted as concretions formed within what were once water‐saturated, diagenetically altered “dirty evaporate” sandstone sediments. Our observations support this interpretation; however, no single terrestrial analog provides a model that can account for all attributes of the spherules on Mars.</span></p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2007JE003048","usgsCitation":"Calvin, W.M., Shoffner, J., Johnson, J.R., Knoll, A., Pocock, J., Squyres, S.W., Weitz, C., Arvidson, R., Bell, J., Christensen, P.R., de Souza, P.A., Farrand, W.H., Glotch, T., Herkenhoff, K.E., Jolliff, B., Knudson, A., McLennan, S.M., Rogers, A., and Thompson, S., 2008, Hematite spherules at Meridiani: results from MI, Mini-TES, and Pancam: Journal of Geophysical Research, v. 113, 27 p.; E12S37, https://doi.org/10.1029/2007JE003048.","productDescription":"27 p.; E12S37","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":476464,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2007je003048","text":"Publisher Index Page"},{"id":257790,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars; Meridiani Planum","volume":"113","noUsgsAuthors":false,"publicationDate":"2008-12-04","publicationStatus":"PW","scienceBaseUri":"505a3050e4b0c8380cd5d530","contributors":{"authors":[{"text":"Calvin, W. M.","contributorId":17379,"corporation":false,"usgs":false,"family":"Calvin","given":"W.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":348497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shoffner, J.D.","contributorId":89394,"corporation":false,"usgs":true,"family":"Shoffner","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":348509,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, J. R.","contributorId":69278,"corporation":false,"usgs":true,"family":"Johnson","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":348505,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knoll, A.H.","contributorId":84885,"corporation":false,"usgs":true,"family":"Knoll","given":"A.H.","email":"","affiliations":[],"preferred":false,"id":348508,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pocock, J.M.","contributorId":82170,"corporation":false,"usgs":true,"family":"Pocock","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":348506,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Squyres, S. W.","contributorId":31836,"corporation":false,"usgs":true,"family":"Squyres","given":"S.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":348499,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Weitz, C.M.","contributorId":8649,"corporation":false,"usgs":true,"family":"Weitz","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":348494,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Arvidson, R. E.","contributorId":46666,"corporation":false,"usgs":true,"family":"Arvidson","given":"R. E.","affiliations":[],"preferred":false,"id":348501,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bell, J.F. III","contributorId":97612,"corporation":false,"usgs":true,"family":"Bell","given":"J.F.","suffix":"III","email":"","affiliations":[],"preferred":false,"id":348511,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Christensen, P. R.","contributorId":7819,"corporation":false,"usgs":false,"family":"Christensen","given":"P.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":348493,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"de Souza, P. A. Jr.","contributorId":45174,"corporation":false,"usgs":true,"family":"de Souza","given":"P.","suffix":"Jr.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":348500,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Farrand, W. H.","contributorId":64372,"corporation":false,"usgs":true,"family":"Farrand","given":"W.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":348504,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Glotch, T.D.","contributorId":10966,"corporation":false,"usgs":true,"family":"Glotch","given":"T.D.","email":"","affiliations":[],"preferred":false,"id":348495,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663 kherkenhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":2275,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth","email":"kherkenhoff@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":348502,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Jolliff, B.L.","contributorId":21268,"corporation":false,"usgs":true,"family":"Jolliff","given":"B.L.","email":"","affiliations":[],"preferred":false,"id":348498,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Knudson, A.T.","contributorId":15746,"corporation":false,"usgs":true,"family":"Knudson","given":"A.T.","email":"","affiliations":[],"preferred":false,"id":348496,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"McLennan, S. M.","contributorId":96733,"corporation":false,"usgs":true,"family":"McLennan","given":"S.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":348510,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Rogers, A.D.","contributorId":84129,"corporation":false,"usgs":true,"family":"Rogers","given":"A.D.","email":"","affiliations":[],"preferred":false,"id":348507,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Thompson, S.D.","contributorId":63511,"corporation":false,"usgs":true,"family":"Thompson","given":"S.D.","email":"","affiliations":[],"preferred":false,"id":348503,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70003480,"text":"70003480 - 2008 - Releases of whooping cranes to the Florida nonmigratory flock: a structured decision-making approach: report to the International Whooping Crane Recovery Team, September 22, 2008","interactions":[],"lastModifiedDate":"2012-07-04T01:02:11","indexId":"70003480","displayToPublicDate":"2012-01-01T13:29:22","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":250,"text":"FWRI Inhouse Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"2008-009","title":"Releases of whooping cranes to the Florida nonmigratory flock: a structured decision-making approach: report to the International Whooping Crane Recovery Team, September 22, 2008","docAbstract":"We used a structured decision-making approach to inform the decision of whether the Florida Fish and Wildlife Conservation Commission should request of the International Whooping Crane Recovery Team that additional whooping crane chicks be released into the Florida Non-Migratory Population (FNMP). Structured decision-making is an application of decision science that strives to produce transparent, replicable, and defensible decisions that recognize the appropriate roles of management policy and science in decision-making. We present a multi-objective decision framework, where management objectives include successful establishment of a whooping crane population in Florida, minimization of costs, positive public relations, information gain, and providing a supply of captive-reared birds to alternative crane release projects, such as the Eastern Migratory Population. We developed models to predict the outcome relative to each of these objectives under 29 different scenarios of the release methodology used from 1993 to 2004, including options of no further releases and variable numbers of releases per year over the next 5-30 years. In particular, we developed a detailed set of population projection models, which make substantially different predictions about the probability of successful establishment of the FNMP. We used expert elicitation to develop prior model weights (measures of confidence in population model predictions); the results of the population model weighting and modelaveraging exercise indicated that the probability of successful establishment of the FNMP ranged from 9% if no additional releases are made, to as high as 41% with additional releases. We also used expert elicitation to develop weights (relative values) on the set of identified objectives, and we then used a formal optimization technique for identifying the optimal decision, which considers the tradeoffs between objectives. The optimal decision was identified as release of 3 cohorts (24 birds) per year over the next 10 years. However, any decision that involved release of 1-3 cohorts (8-24 birds) per year over the next 5 to 20 years, as well as decisions that involve skipping releases in every other year, performed better in our analysis than the alternative of no further releases. These results were driven by the relatively high objective weights that experts placed on the population objective (i.e., successful establishment of the FNMP) and the information gain objective (where releases are expected to accelerate learning on what was identified as a primary uncertainty: the demographic performance of wild-hatched birds). Additional considerations that were not formally integrated into the analysis are also discussed.","language":"English","publisher":"Florida Fish and Wildlife Conservation Commission","publisherLocation":"Tallahassee, FL","usgsCitation":"Moore, C., Converse, S., Folk, M.J., Boughton, R., Brooks, B., French, J.B., O’Meara, T., Putnam, M., Rodgers, J., and Spalding, M., 2008, Releases of whooping cranes to the Florida nonmigratory flock: a structured decision-making approach: report to the International Whooping Crane Recovery Team, September 22, 2008: FWRI Inhouse Report 2008-009, 26 p.; col. ill.","productDescription":"26 p.; col. ill.","numberOfPages":"26","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":21717,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://research.myfwc.com/publications/publication_info.asp?id=58528","linkFileType":{"id":5,"text":"html"}},{"id":258155,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://research.myfwc.com/engine/download_redirection_process.asp?file=ihr2008%2D009%5F2726%2Epdf&objid=58528&dltype=publication","linkFileType":{"id":1,"text":"pdf"}},{"id":258160,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aa6b0e4b0c8380cd84fc6","contributors":{"authors":[{"text":"Moore, Clinton T.","contributorId":9767,"corporation":false,"usgs":true,"family":"Moore","given":"Clinton T.","affiliations":[],"preferred":false,"id":347426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Converse, Sarah J.","contributorId":85716,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah J.","affiliations":[],"preferred":false,"id":347433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Folk, Martin J.","contributorId":82568,"corporation":false,"usgs":true,"family":"Folk","given":"Martin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":347432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boughton, Robin","contributorId":45175,"corporation":false,"usgs":true,"family":"Boughton","given":"Robin","email":"","affiliations":[],"preferred":false,"id":347429,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brooks, Bill","contributorId":90151,"corporation":false,"usgs":true,"family":"Brooks","given":"Bill","email":"","affiliations":[],"preferred":false,"id":347434,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"French, John B. 0000-0001-8901-7092 jbfrench@usgs.gov","orcid":"https://orcid.org/0000-0001-8901-7092","contributorId":377,"corporation":false,"usgs":true,"family":"French","given":"John","email":"jbfrench@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":347425,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O’Meara, Timothy","contributorId":73454,"corporation":false,"usgs":true,"family":"O’Meara","given":"Timothy","email":"","affiliations":[],"preferred":false,"id":347431,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Putnam, Michael","contributorId":25815,"corporation":false,"usgs":true,"family":"Putnam","given":"Michael","affiliations":[],"preferred":false,"id":347428,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rodgers, James","contributorId":56091,"corporation":false,"usgs":true,"family":"Rodgers","given":"James","affiliations":[],"preferred":false,"id":347430,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Spalding, Marilyn","contributorId":18220,"corporation":false,"usgs":true,"family":"Spalding","given":"Marilyn","affiliations":[],"preferred":false,"id":347427,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70038744,"text":"70038744 - 2008 - Origin and paleoclimatic significance of late Quaternary loess in Nebraska: Evidence from stratigraphy, chronology, sedimentology, and geochemistry","interactions":[],"lastModifiedDate":"2020-09-11T17:13:13.146249","indexId":"70038744","displayToPublicDate":"2012-01-01T13:02:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Origin and paleoclimatic significance of late Quaternary loess in Nebraska: Evidence from stratigraphy, chronology, sedimentology, and geochemistry","docAbstract":"<p>Loess is one of the most extensive surficial geologic deposits in midcontinental North America, particularly in the central Great Plains region of Nebraska. Last-glacial-age loess (Peoria Loess) reaches its greatest known thickness in the world in this area. New stratigraphic, geochronologic, mineralogic, and geochemical data yield information about the age and provenance of Peoria Loess, as well as evaluation of recent climate models.</p><p>Sixteen new radiocarbon ages and recently acquired optically stimulated luminescence ages indicate that Peoria Loess deposition in Nebraska occurred between ca. 25,000 cal yr B.P. and ca. 13,000 cal yr B.P. After ca. 13,000 cal yr B.P. a period of pedogenesis began, represented by the dark, prominent Brady Soil. At some localities, further loess deposition was minimal. At other localities, sometime after ca. 11,000 cal yr B.P., there were additional episodes of loess deposition (Bignell Loess) intermittently throughout the Holocene.</p><p>The spatial variability of particle size abundances in Peoria Loess shows a northwest-to-southeast fining in Nebraska, consistent with maps of previous workers that show a northwest-to-southeast thinning of loess. These observations indicate that paleowinds that deposited the loess were from the west or northwest and that the source or sources of Peoria Loess lay to the west or northwest.</p><p>New mineralogical and geochemical data indicate that the most important sources of loess were likely Tertiary siltstones of the White River and Arikaree Groups, silt facies of Pliocene eolian sediments, and small contributions from Pierre Shale. It is likely that fine-grained silts were transported episodically through the Nebraska Sand Hills from Tertiary and Cretaceous bedrock sources to the north, in agreement with a model presented recently. The identification of Tertiary siltstones and silts as the primary sources of loess is consistent with isotopic data presented in a companion paper. Contributions of glaciogenic silt from the Platte and Missouri Rivers were limited to loess zones close to the valleys of those drainages. An earlier computer-based model of global dust generation during the last glacial period did not identify the Great Plains of North America as a significant source of nonglaciogenic eolian silt. However, a refined version of this model does simulate this region as a significant non-glacial dust source during the last glacial period, in good agreement with the results presented here.</p>","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/B26221.1","usgsCitation":"Muhs, D.R., Bettis, E., Aleinikoff, J.N., McGeehin, J., Beann, J., Skipp, G., Marshall, B.D., Roberts, H.M., Johnson, W.C., and Benton, R., 2008, Origin and paleoclimatic significance of late Quaternary loess in Nebraska: Evidence from stratigraphy, chronology, sedimentology, and geochemistry: GSA Bulletin, v. 120, no. 11-12, p. 1378-1407, https://doi.org/10.1130/B26221.1.","productDescription":"10 p.","startPage":"1378","endPage":"1407","costCenters":[{"id":308,"text":"Geology and Environmental Change Science 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,{"id":70038741,"text":"70038741 - 2008 - Isotopic evidence for the diversity of late Quaternary loess in Nebraska: Glaciogenic and nonglaciogenic sources","interactions":[],"lastModifiedDate":"2012-06-20T01:01:36","indexId":"70038741","displayToPublicDate":"2012-01-01T11:53:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Isotopic evidence for the diversity of late Quaternary loess in Nebraska: Glaciogenic and nonglaciogenic sources","docAbstract":"Pb isotope compositions of detrital K-feldspars and U-Pb ages of detrital zircons are used as indicators for determining the sources of Peoria Loess deposited during the last glacial period (late Wisconsin, ca. 25&ndash;14 ka) in Nebraska and western Iowa. Our new data indicate that only loess adjacent to the Platte River has Pb isotopic characteristics suggesting derivation from this river. Most Peoria Loess in central Nebraska (up to 20 m thick) is non-glaciogenic, on the basis of Pb isotope ratios in K-feldspars and the presence of 34-Ma detrital zircons. These isotopic characteristics suggest derivation primarily from the Oligocene White River Group in southern South Dakota, western Nebraska, southeastern Wyoming, and northeastern Colorado. The occurrence of 10&ndash;25 Ma detrital zircons suggests additional minor contributions of silt from the Oligocene-Miocene Arikaree Group and Miocene Ogallala Group. Isotopic data from detrital K-feldspar and zircon grains from Peoria Loess deposits in eastern Nebraska and western Iowa suggest that the immediate source of this loess was alluvium of the Missouri River. We conclude that this silt probably is of glaciogenic origin, primarily derived from outwash from the western margin of the Laurentide Ice Sheet. Identification of the White River Group as the main provenance of Peoria Loess of central Nebraska and the Missouri River valley as the immediate source of western Iowa Peoria Loess indicates that paleowind directions during the late Wisconsin were primarily from the northwest and west, in agreement with earlier studies of particle size and loess thickness variation. In addition, the results are in agreement with recent simulations of non-glaciogenic dust sources from linked climate-vegetation modeling, suggesting dry, windy, and minimally vegetated areas in parts of the Great Plains during the last glacial period.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"GSA Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/B26222.1","usgsCitation":"Aleinikoff, J.N., Muhs, D.R., Bettis, E., Johnson, W.C., Fanning, C., and Benton, R., 2008, Isotopic evidence for the diversity of late Quaternary loess in Nebraska: Glaciogenic and nonglaciogenic sources: GSA Bulletin, v. 120, no. 11-12, p. 1362-1377, https://doi.org/10.1130/B26222.1.","productDescription":"16 p.","startPage":"1362","endPage":"1377","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":257680,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257671,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/B26222.1","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nebraska","volume":"120","issue":"11-12","noUsgsAuthors":false,"publicationDate":"2008-11-07","publicationStatus":"PW","scienceBaseUri":"505a3faee4b0c8380cd64718","contributors":{"authors":[{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":464813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":1857,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel","email":"dmuhs@usgs.gov","middleInitial":"R.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":true,"id":464814,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bettis, E. Arthur III","contributorId":72822,"corporation":false,"usgs":true,"family":"Bettis","given":"E. Arthur","suffix":"III","affiliations":[],"preferred":false,"id":464818,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, William C.","contributorId":13082,"corporation":false,"usgs":true,"family":"Johnson","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":464815,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fanning, C. Mark","contributorId":46814,"corporation":false,"usgs":true,"family":"Fanning","given":"C. Mark","affiliations":[],"preferred":false,"id":464817,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Benton, Rachel","contributorId":22614,"corporation":false,"usgs":true,"family":"Benton","given":"Rachel","email":"","affiliations":[],"preferred":false,"id":464816,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70043078,"text":"pp17135 - 2008 - Age, distribution, and stratigraphic relationship of rock units in the San Joaquin Basin Province, California: Chapter 5 in <i>Petroleum systems and geologic assessment of oil and gas in the San Joaquin Basin Province, California</i>","interactions":[],"lastModifiedDate":"2018-08-31T13:07:12","indexId":"pp17135","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1713-5","title":"Age, distribution, and stratigraphic relationship of rock units in the San Joaquin Basin Province, California: Chapter 5 in <i>Petroleum systems and geologic assessment of oil and gas in the San Joaquin Basin Province, California</i>","docAbstract":"The San Joaquin Basin is a major petroleum province that forms the southern half of California’s Great Valley, a 700-km-long, asymmetrical basin that originated between a subduction zone to the west and the Sierra Nevada to the east. Sedimentary fill and tectonic structures of the San Joaquin Basin record the Mesozoic through Cenozoic geologic history of North America’s western margin. More than 25,000 feet (>7,500 meters) of sedimentary rocks overlie the basement surface and provide a nearly continuous record of sedimentation over the past ~100 m.y. Further, depositional geometries and fault structures document the tectonic evolution of the region from forearc setting to strike-slip basin to transpressional margin. Sedimentary architecture in the San Joaquin Basin is complicated because of these tectonic regimes and because of lateral changes in depositional environment and temporal changes in relative sea level. Few formations are widespread across the basin. Consequently, a careful analysis of sedimentary facies is required to unravel the basin’s depositional history on a regional scale. At least three high-quality organic source rocks formed in the San Joaquin Basin during periods of sea level transgression and anoxia. Generated on the basin’s west side, hydrocarbons migrated into nearly every facies type in the basin, from shelf and submarine fan sands to diatomite and shale to nonmarine coarse-grained rocks to schist. In 2003, the U.S. Geological Survey (USGS) completed a geologic assessment of undiscovered oil and gas resources and future additions to reserves in the San Joaquin Valley of California (USGS San Joaquin Basin Province Assessment Team, this volume, chapter 1). Several research aims supported this assessment: identifying and mapping the petroleum systems, modeling the generation, migration, and accumulation of hydrocarbons, and defining the volumes of rock to be analyzed for additional resources. To better understand the three dimensional relationships between hydrocarbon source and reservoir rocks, we compiled a database consisting of more than 13,000 well picks and of one-mile resolution seismic grids. Both the well picks and the seismic grids characterize the depths to the top of key stratigraphic units. This database formed the basis of subsequent numerical modeling efforts, including the construction of a three- dimensional geologic model (Hosford Scheirer, this volume, chapter 7) and simulation of the petroleum systems in space and time (Peters, Magoon, Lampe, and others, this volume, chapter 12). To accomplish this modeling, we synthesized the age, geographic distribution, lithology, and petroleum characteristics of hydrocarbon source and reservoir rocks in the basin. The results of that synthesis are presented in this paper in the form of new stratigraphic correlation columns for the northern, central, and southern San Joaquin Valley (fig. 5.1; note that all figures are at the back of this report, following the References Cited). The stratigraphic relationships and ages published here draw heavily on published and unpublished studies of the San Joaquin Basin. The stratigraphy presented in each of the columns necessarily idealizes the subsurface geology over a relatively large area, instead of representing the specific geology at an individual well, oil and gas field, or outcrop. In this paper we present the background rationale for defining the geographic divisions of the basin (inset map, fig. 5.1), the paleontological time scales used for assigning absolute ages to rock units (figs. 5.2 and 5.3), and the supporting maps illustrating the geographic distribution of each rock type included in the stratigraphic column (figs. 5.4 through 5.64).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp17135","usgsCitation":"Hosford Scheirer, A., and Magoon, L.B., 2008, Age, distribution, and stratigraphic relationship of rock units in the San Joaquin Basin Province, California: Chapter 5 in <i>Petroleum systems and geologic assessment of oil and gas in the San Joaquin Basin Province, California</i>: U.S. Geological Survey Professional Paper 1713-5, Chapter 5: 107 p., https://doi.org/10.3133/pp17135.","productDescription":"Chapter 5: 107 p.","additionalOnlineFiles":"Y","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":266943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1713_5.jpg"},{"id":266941,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/pp1713/","text":"Index Page","linkFileType":{"id":5,"text":"html"}},{"id":266942,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/pp1713/05/pp1713_ch05.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","otherGeospatial":"San Joaquin Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.75,34.75 ], [ -121.75,38.0 ], [ -118.75,38.0 ], [ -118.75,34.75 ], [ -121.75,34.75 ] ] ] } } ] }","publicComments":"This report is Chapter 5 in <i>Petroleum systems and geologic assessment of oil and gas in the San Joaquin Basin Province, California</i>.  Please see <a href=\"http://pubs.er.usgs.gov/publication/pp1713\" target=\"_blank\">Professional Paper 1713</a> for other chapters.","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5110e682e4b03611765638ca","contributors":{"authors":[{"text":"Hosford Scheirer, Allegra","contributorId":22217,"corporation":false,"usgs":true,"family":"Hosford Scheirer","given":"Allegra","email":"","affiliations":[],"preferred":false,"id":472920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magoon, Leslie B. lmagoon@usgs.gov","contributorId":2383,"corporation":false,"usgs":true,"family":"Magoon","given":"Leslie","email":"lmagoon@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":472919,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70038218,"text":"70038218 - 2008 - Co-precipitation of dissolved organic matter by calcium carbonate in Pyramid Lake, Nevada","interactions":[],"lastModifiedDate":"2018-10-17T10:17:50","indexId":"70038218","displayToPublicDate":"2011-12-11T12:26:40","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":791,"text":"Annals of Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"Co-precipitation of dissolved organic matter by calcium carbonate in Pyramid Lake, Nevada","docAbstract":"Our previous research has demonstrated that dissolved organic matter (DOM) influences calcium carbonate mineral formation in surface and ground water. To better understand DOM mediation of carbonate precipitation and DOM co-precipitation and/or incorporation with carbonate minerals, we characterized the content and speciation of DOM in carbonate minerals and in the lake water of Pyramid Lake, Nevada, USA. A 400-gram block of precipitated calcium carbonate from the Pyramid Lake shore was dissolved in 8 liters of 10% acetic acid. Particulate matter not dissolved by acetic acid was removed by centrifugation. DOM from the carbonate rock was fractionated into nine portions using evaporation, dialysis, resin adsorption, and selective precipitations to remove acetic acid and inorganic constituents. The calcium carbonate rock contained 0.23% DOM by weight. This DOM was enriched in polycarboxylic proteinaceous acids and hydroxy-acids in comparison with the present lake water. DOM in lake water was composed of aliphatic, alicyclic polycarboxylic acids. These compound classes were found in previous studies to inhibit calcium carbonate precipitation. DOM fractions from the carbonate rock were <sup>14</sup>C-age dated at about 3,100 to 3,500 years before present. The mechanism of DOM co-precipitation and/or physical incorporation in the calcium carbonate is believed to be due to formation of insoluble calcium complexes with polycarboxylic proteinaceous acids and hydroxy-acids that have moderately large stability constants at the alkaline pH of the lake. DOM co-precipitation with calcium carbonate and incorporation in precipitated carbonate minerals removes proteinaceous DOM, but nearly equivalent concentrations of neutral and acidic forms of organic nitrogen in DOM remain in solution. Calcium carbonate precipitation during lime softening pretreatment of drinking water may have practical applications for removal of proteinaceous disinfection by-product precursors.","language":"English","publisher":"Northeastern University","usgsCitation":"Leenheer, J.A., and Reddy, M.M., 2008, Co-precipitation of dissolved organic matter by calcium carbonate in Pyramid Lake, Nevada: Annals of Environmental Science, v. 2, p. 11-25.","productDescription":"15 p.","startPage":"11","endPage":"25","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":254615,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":254610,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://www.aes.neu.edu/table_contents/abstract12/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nevada","otherGeospatial":"Pyramid Lake","volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f67be4b0c8380cd4c7ba","contributors":{"authors":[{"text":"Leenheer, Jerry A.","contributorId":72420,"corporation":false,"usgs":true,"family":"Leenheer","given":"Jerry","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":463663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reddy, Michael M. mmreddy@usgs.gov","contributorId":684,"corporation":false,"usgs":true,"family":"Reddy","given":"Michael","email":"mmreddy@usgs.gov","middleInitial":"M.","affiliations":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"preferred":true,"id":463662,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70003667,"text":"70003667 - 2008 - Modeling landslide recurrence in Seattle, Washington, USA","interactions":[],"lastModifiedDate":"2012-02-02T00:16:01","indexId":"70003667","displayToPublicDate":"2011-12-01T13:14:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1517,"text":"Engineering Geology","active":true,"publicationSubtype":{"id":10}},"title":"Modeling landslide recurrence in Seattle, Washington, USA","docAbstract":"To manage the hazard associated with shallow landslides, decision makers need an understanding of where and when landslides may occur. A variety of approaches have been used to estimate the hazard from shallow, rainfall-triggered landslides, such as empirical rainfall threshold methods or probabilistic methods based on historical records. The wide availability of Geographic Information Systems (GIS) and digital topographic data has led to the development of analytic methods for landslide hazard estimation that couple steady-state hydrological models with slope stability calculations. Because these methods typically neglect the transient effects of infiltration on slope stability, results cannot be linked with historical or forecasted rainfall sequences. Estimates of the frequency of conditions likely to cause landslides are critical for quantitative risk and hazard assessments. We present results to demonstrate how a transient infiltration model coupled with an infinite slope stability calculation may be used to assess shallow landslide frequency in the City of Seattle, Washington, USA. A module called CRF (Critical RainFall) for estimating deterministic rainfall thresholds has been integrated in the TRIGRS (Transient Rainfall Infiltration and Grid-based Slope-Stability) model that combines a transient, one-dimensional analytic solution for pore-pressure response to rainfall infiltration with an infinite slope stability calculation. Input data for the extended model include topographic slope, colluvial thickness, initial water-table depth, material properties, and rainfall durations. This approach is combined with a statistical treatment of rainfall using a GEV (General Extreme Value) probabilistic distribution to produce maps showing the shallow landslide recurrence induced, on a spatially distributed basis, as a function of rainfall duration and hillslope characteristics.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Engineering Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","usgsCitation":"Salciarini, D., Godt, J.W., Savage, W.Z., Baum, R.L., and Conversini, P., 2008, Modeling landslide recurrence in Seattle, Washington, USA: Engineering Geology, v. 102, no. 3-4, p. 227-237.","productDescription":"11 p.","startPage":"227","endPage":"237","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":111016,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S0013795208001865","linkFileType":{"id":5,"text":"html"}},{"id":204478,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","city":"Seattle","volume":"102","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c07e4b0c8380cd6f9a4","contributors":{"authors":[{"text":"Salciarini, Diana","contributorId":38022,"corporation":false,"usgs":true,"family":"Salciarini","given":"Diana","email":"","affiliations":[],"preferred":false,"id":348251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":348248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Savage, William Z.","contributorId":107686,"corporation":false,"usgs":true,"family":"Savage","given":"William","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":348252,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":348249,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conversini, Pietro","contributorId":15077,"corporation":false,"usgs":true,"family":"Conversini","given":"Pietro","email":"","affiliations":[],"preferred":false,"id":348250,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70003718,"text":"70003718 - 2008 - Radargrammetry on three planets","interactions":[],"lastModifiedDate":"2018-12-12T15:50:03","indexId":"70003718","displayToPublicDate":"2011-11-09T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"seriesTitle":{"id":5650,"text":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","onlineIssn":"2194-9034","printIssn":"1682-1750","active":true,"publicationSubtype":{"id":19}},"title":"Radargrammetry on three planets","docAbstract":"Synthetic Aperture Radar (SAR) can provide useful images in situations where passive optical imaging cannot, either because the microwaves used can penetrate atmospheric clouds, because active imaging can \"see in the dark,\" or both. We have participated in the NASA Magellan mission to Venus in the 1990s and the current NASA-ESA Cassini-Huygens mission to Saturn and Titan, which have used SAR to see through the clouds of Venus and Titan, respectively, and have developed software and techniques for the production of digital topographic models (DTMs) from radar stereopairs. We are currently preparing for similar radargrammetric analysis of data from the Mini-RF instrument to be carried to the Moon on both the ISRO Chandrayaan-1 and NASA Lunar Reconnaissance Orbiter (LRO) missions later in 2008. These instruments are intended to image the permanently shadowed areas at the lunar poles and even see below the surface to detect possible water ice deposits. In this paper, we describe our approach to radargrammetric topographic mapping, based on the use of the USGS ISIS software system to ingest and prepare data, and the commercial stereoanalysis software SOCET SET (&#174; BAE Systems), augmented with custom sensor models we have implemented, for DTM production and editing. We describe the commonalities and differences between the various data sets, and some of the lessons learned, both radargrammetric and geoscientific.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings: XXIst ISPRS Congress, Technical Commission IV ","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"XXIst ISPRS Congress Technical Commission IV ","conferenceDate":"July 3-11, 2008","conferenceLocation":"Beijing, China","language":"English","publisher":"The International Society for Photogrammetry and Remote Sensing","publisherLocation":"Beijing, China","usgsCitation":"Kirk, R.L., and Howington-Kraus, E., 2008, Radargrammetry on three planets, <i>in</i> Proceedings: XXIst ISPRS Congress, Technical Commission IV , v. 37, no. B4, Beijing, China, July 3-11, 2008, p. 973-980.","productDescription":"8 p.","startPage":"973","endPage":"980","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":204463,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352494,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://www.isprs.org/proceedings/XXXVII/congress/tc4.aspx"},{"id":101754,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://www.isprs.org/proceedings/XXXVII/congress/4_pdf/173.pdf","linkFileType":{"id":1,"text":"pdf"}}],"volume":"37","issue":"B4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a60e4b07f02db635024","contributors":{"editors":[{"text":"Chen, Jun","contributorId":47641,"corporation":false,"usgs":false,"family":"Chen","given":"Jun","email":"","affiliations":[],"preferred":false,"id":731057,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Jiang, Jie","contributorId":66116,"corporation":false,"usgs":false,"family":"Jiang","given":"Jie","email":"","affiliations":[],"preferred":false,"id":731058,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Nayak, Shailesh","contributorId":198415,"corporation":false,"usgs":false,"family":"Nayak","given":"Shailesh","email":"","affiliations":[],"preferred":false,"id":731059,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":348492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Howington-Kraus, Elpitha 0000-0001-5787-6554 ahowington@usgs.gov","orcid":"https://orcid.org/0000-0001-5787-6554","contributorId":2815,"corporation":false,"usgs":true,"family":"Howington-Kraus","given":"Elpitha","email":"ahowington@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":348491,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70004021,"text":"70004021 - 2008 - Assessing contribution of DOC from sediments to a drinking-water reservoir using optical profiling","interactions":[],"lastModifiedDate":"2017-01-17T11:32:39","indexId":"70004021","displayToPublicDate":"2011-08-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Assessing contribution of DOC from sediments to a drinking-water reservoir using optical profiling","docAbstract":"Understanding the sources of dissolved organic carbon (DOC) in drinking-water reservoirs is an important management issue because DOC may form disinfection by-products, interfere with disinfection, or increase treatment costs. DOC may be derived from a host of sources-algal production of DOC in the reservoir, marginal production of DOC from mucks and vascular plants at the margins, and sediments in the reservoir. The purpose of this study was to assess if release of DOC from reservoir sediments containing ferric chloride coagulant was a significant source of DOC to the reservoir. We examined the source-specific contributions of DOC using a profiling system to measure the in situ distribution of optical properties of absorption and fluorescence at various locations in the reservoir. Vertical optical profiles were coupled with discrete water samples measured in the laboratory for DOC concentration and optical properties: absorption spectra and excitation emission matrix spectra (EEMs). Modeling the in situ optical data permitted estimation of the bulk DOC profile in the reservoir as well as separation into source-specific contributions. Analysis of the source-specific profiles and their associated optical characteristics indicated that the sedimentary source of DOC to the reservoir is significant and that this DOC is labile in the reservoir. We conclude that optical profiling is a useful technique for understanding complex biogeochemical processes in a reservoir.","language":"English","publisher":"Taylor and Francis","publisherLocation":"New York, NY","doi":"10.1080/07438140809354848","usgsCitation":"Downing, B.D., Bergamaschi, B., Evans, D.G., and Boss, E., 2008, Assessing contribution of DOC from sediments to a drinking-water reservoir using optical profiling: Lake and Reservoir Management, v. 24, no. 4, p. 381-391, https://doi.org/10.1080/07438140809354848.","productDescription":"11 p.","startPage":"381","endPage":"391","numberOfPages":"11","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":203859,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672b0c","contributors":{"authors":[{"text":"Downing, Bryan D. 0000-0002-2007-5304 bdowning@usgs.gov","orcid":"https://orcid.org/0000-0002-2007-5304","contributorId":1449,"corporation":false,"usgs":true,"family":"Downing","given":"Bryan","email":"bdowning@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":73241,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian A.","affiliations":[],"preferred":false,"id":350181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evans, David G.","contributorId":80787,"corporation":false,"usgs":true,"family":"Evans","given":"David","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":350182,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boss, Emmanuel","contributorId":10143,"corporation":false,"usgs":true,"family":"Boss","given":"Emmanuel","affiliations":[],"preferred":false,"id":350180,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003441,"text":"70003441 - 2008 - Anatomy of a shoreface sand ridge revisted using foraminifera: False Cape Shoals, Virginia/North Carolina inner shelf","interactions":[],"lastModifiedDate":"2012-02-10T00:11:58","indexId":"70003441","displayToPublicDate":"2011-07-28T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"title":"Anatomy of a shoreface sand ridge revisted using foraminifera: False Cape Shoals, Virginia/North Carolina inner shelf","docAbstract":"Certain details regarding the origin and evolution of shelf sand ridges remain elusive. Knowledge of their internal stratigraphy and microfossil distribution is necessary to define the origin and to determine the processes that modify sand ridges. Fourteen vibracores from False Cape Shoal A, a well-developed shoreface-attached sand ridge on the Virginia/North Carolina inner continental shelf, were examined to document the internal stratigraphy and benthic foraminiferal assemblages, as well as to reconstruct the depositional environments recorded in down-core sediments. Seven sedimentary and foraminiferal facies correspond to the following stratigraphic units: fossiliferous silt, barren sand, clay to sandy clay, laminated and bioturbated sand, poorly sorted massive sand, fine clean sand, and poorly sorted clay to gravel. The units represent a Pleistocene estuary and shoreface, a Holocene estuary, ebb tidal delta, modern shelf, modern shoreface, and swale fill, respectively. The succession of depositional environments reflects a Pleistocene sea-level highstand and subsequent regression followed by the Holocene transgression in which barrier island/spit systems formed along the Virginia/North Carolina inner shelf not, vert, ~5.2 ka and migrated landward and an ebb tidal delta that was deposited, reworked, and covered by shelf sand.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Continental Shelf Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","usgsCitation":"Robinson, M.M., and McBride, R.A., 2008, Anatomy of a shoreface sand ridge revisted using foraminifera: False Cape Shoals, Virginia/North Carolina inner shelf: Continental Shelf Research, v. 17, no. 15, p. 2428-2441.","productDescription":"14 p.","startPage":"2428","endPage":"2441","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":203987,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia;North Carolina","otherGeospatial":"False Cape Shoals","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.5,35.5 ], [ -76.5,37 ], [ -75,37 ], [ -75,35.5 ], [ -76.5,35.5 ] ] ] } } ] }","volume":"17","issue":"15","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c346","contributors":{"authors":[{"text":"Robinson, Marci M. 0000-0002-9200-4097 mmrobinson@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":2082,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci","email":"mmrobinson@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":347300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McBride, Randolph A.","contributorId":6466,"corporation":false,"usgs":true,"family":"McBride","given":"Randolph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":347301,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70003716,"text":"70003716 - 2008 - Columbia Hills, Mars: aeolian features seen from the ground and orbit","interactions":[],"lastModifiedDate":"2018-11-27T11:14:25","indexId":"70003716","displayToPublicDate":"2011-06-23T00:00:00","publicationYear":"2008","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":"Columbia Hills, Mars: aeolian features seen from the ground and orbit","docAbstract":"Abundant wind-related features occur along Spirit's traverse into the Columbia Hills over the basaltic plains of Gusev Crater. Most of the windblown sands are probably derived from weathering of rocks within the crater, and possibly from deposits associated with Ma'adim Vallis. Windblown particles act as agents of abrasion, forming ventifacts, and are organized in places into various bed forms. Wind-related features seen from orbit, results from atmospheric models, and considerations of topography suggest that the general wind patterns and transport pathways involve: (1) winter nighttime winds that carry sediments from the mouth of Ma'adim Vallis into the landing site area of Spirit, where they are mixed with locally derived sediments, and (2) winter daytime winds that transport the sediments from the landing site southeast toward Husband Hill; similar patterns occur in the summer but with weaker winds. Reversals of daytime flow out of Gusev Crater and nighttime wind flow into the crater can account for the symmetry of the bed forms and bimodal orientations of some ventifacts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research E: Planets","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2007JE002971","usgsCitation":"Greeley, R., Whelley, P.L., Neakrase, L., Arvidson, R.E., Bridges, N.T., Cabrol, N.A., Christensen, P.R., Di, K., Foley, D.J., Golombek, M., Herkenhoff, K.E., Knudson, A., Kuzmin, R.O., Li, R., Michaels, T., Squyres, S.W., Sullivan, R., and Thompson, S.D., 2008, Columbia Hills, Mars: aeolian features seen from the ground and orbit: Journal of Geophysical Research E: Planets, v. 113, no. E6, 17 p., https://doi.org/10.1029/2007JE002971.","productDescription":"17 p.","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":476468,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2007je002971","text":"Publisher Index Page"},{"id":204103,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"113","issue":"E6","noUsgsAuthors":false,"publicationDate":"2008-04-15","publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae828","contributors":{"authors":[{"text":"Greeley, Ronald","contributorId":20833,"corporation":false,"usgs":true,"family":"Greeley","given":"Ronald","email":"","affiliations":[],"preferred":false,"id":348454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whelley, Patrick L.","contributorId":77288,"corporation":false,"usgs":true,"family":"Whelley","given":"Patrick","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":348466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neakrase, Lynn","contributorId":56362,"corporation":false,"usgs":true,"family":"Neakrase","given":"Lynn","email":"","affiliations":[],"preferred":false,"id":348460,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arvidson, Raymond E.","contributorId":106626,"corporation":false,"usgs":false,"family":"Arvidson","given":"Raymond","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":348468,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bridges, Nathan T.","contributorId":45005,"corporation":false,"usgs":true,"family":"Bridges","given":"Nathan","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":348458,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cabrol, Nathalie A.","contributorId":51382,"corporation":false,"usgs":true,"family":"Cabrol","given":"Nathalie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":348459,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Christensen, Phillip R.","contributorId":18098,"corporation":false,"usgs":false,"family":"Christensen","given":"Phillip","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":348453,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Di, Kaichang","contributorId":70531,"corporation":false,"usgs":true,"family":"Di","given":"Kaichang","email":"","affiliations":[],"preferred":false,"id":348462,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Foley, Daniel J.","contributorId":15333,"corporation":false,"usgs":true,"family":"Foley","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":348452,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Golombek, Matthew P.","contributorId":93180,"corporation":false,"usgs":true,"family":"Golombek","given":"Matthew P.","affiliations":[],"preferred":false,"id":348467,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663 kherkenhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":2275,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth","email":"kherkenhoff@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":348464,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Knudson, Amy","contributorId":70909,"corporation":false,"usgs":true,"family":"Knudson","given":"Amy","email":"","affiliations":[],"preferred":false,"id":348463,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kuzmin, Ruslan O.","contributorId":31059,"corporation":false,"usgs":true,"family":"Kuzmin","given":"Ruslan","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":348456,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Li, Ron","contributorId":76870,"corporation":false,"usgs":true,"family":"Li","given":"Ron","affiliations":[],"preferred":false,"id":348465,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Michaels, Timothy","contributorId":37052,"corporation":false,"usgs":true,"family":"Michaels","given":"Timothy","affiliations":[],"preferred":false,"id":348457,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Squyres, Steven W.","contributorId":10537,"corporation":false,"usgs":true,"family":"Squyres","given":"Steven","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":348451,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Sullivan, Robert","contributorId":70102,"corporation":false,"usgs":true,"family":"Sullivan","given":"Robert","affiliations":[],"preferred":false,"id":348461,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Thompson, Shane D.","contributorId":22079,"corporation":false,"usgs":true,"family":"Thompson","given":"Shane","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":348455,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70003720,"text":"70003720 - 2008 - Cartography for lunar exploration: 2008 status and mission plans","interactions":[],"lastModifiedDate":"2018-12-12T15:43:48","indexId":"70003720","displayToPublicDate":"2011-06-17T13:50:03","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"seriesTitle":{"id":5650,"text":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","onlineIssn":"2194-9034","printIssn":"1682-1750","active":true,"publicationSubtype":{"id":19}},"title":"Cartography for lunar exploration: 2008 status and mission plans","docAbstract":"The initial spacecraft exploration of the Moon in the 1960s-70s yielded extensive data, primarily in the form of film and television images, which were used to produce a large number of hardcopy maps by conventional techniques. A second era of exploration, beginning in the early 1990s, has produced digital data including global multispectral imagery and altimetry, from which a new generation of digital map products tied to a rapidly evolving global control network has been made. Efforts are also underway to scan the earlier hardcopy maps for online distribution and to digitize the film images so that modern processing techniques can be used to make high-resolution digital terrain models (DTMs) and image mosaics consistent with the current global control. The pace of lunar exploration is accelerating dramatically, with as many as eight new missions already launched or planned for the current decade. These missions, of which the most important for cartography are SMART-1 (Europe), Kaguya/SELENE (Japan), Chang'e-1 (China), Chandrayaan-1 (India), and Lunar Reconnaissance Orbiter (USA), will return a volume of data exceeding that of all previous lunar and planetary missions combined. Framing and scanner camera images, including multispectral and stereo data, hyperspectral images, synthetic aperture radar (SAR) images, and laser altimetry will all be collected, including, in most cases, multiple data sets of each type. Substantial advances in international standardization and cooperation, development of new and more efficient data processing methods, and availability of resources for processing and archiving will all be needed if the next generation of missions are to fulfill their potential for high-precision mapping of the Moon in support of subsequent exploration and scientific investigation.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings: XXIst ISPRS Congress, Technical Commission IV ","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"XXIst ISPRS Congress Technical Commission IV ","conferenceDate":"July 3-11, 2008","conferenceLocation":"Beijing, China","language":"English","publisher":"The International Society for Photogrammetry and Remote Sensing","publisherLocation":"Beijing, China","usgsCitation":"Kirk, R.L., Archinal, B.A., Gaddis, L.R., and Rosiek, M.R., 2008, Cartography for lunar exploration: 2008 status and mission plans, <i>in</i> Proceedings: XXIst ISPRS Congress, Technical Commission IV , v. 37, no. B4, Beijing, China, July 3-11, 2008, p. 1473-1490.","productDescription":"18 p.","startPage":"1473","endPage":"1490","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":352495,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://www.isprs.org/proceedings/XXXVII/congress/tc4.aspx"},{"id":203811,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":21892,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://www.isprs.org/proceedings/XXXVII/congress/4_pdf/259.pdf","linkFileType":{"id":1,"text":"pdf"}}],"otherGeospatial":"Moon","volume":"37","issue":"B4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f3e4b07f02db5ef8c7","contributors":{"editors":[{"text":"Chen, Jun","contributorId":47641,"corporation":false,"usgs":false,"family":"Chen","given":"Jun","email":"","affiliations":[],"preferred":false,"id":731060,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Jiang, Jie","contributorId":66116,"corporation":false,"usgs":false,"family":"Jiang","given":"Jie","email":"","affiliations":[],"preferred":false,"id":731061,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Nayak, Shailesh","contributorId":198415,"corporation":false,"usgs":false,"family":"Nayak","given":"Shailesh","email":"","affiliations":[],"preferred":false,"id":731062,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":348515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Archinal, Brent A. 0000-0002-6654-0742 barchinal@usgs.gov","orcid":"https://orcid.org/0000-0002-6654-0742","contributorId":2816,"corporation":false,"usgs":true,"family":"Archinal","given":"Brent","email":"barchinal@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":348513,"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":348514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosiek, Mark R. mrosiek@usgs.gov","contributorId":824,"corporation":false,"usgs":true,"family":"Rosiek","given":"Mark","email":"mrosiek@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":348512,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003481,"text":"70003481 - 2008 - A 26 million year gap in the central Arctic record at the greenhouse-icehouse transition: Looking for clues","interactions":[],"lastModifiedDate":"2021-03-18T17:59:30.196365","indexId":"70003481","displayToPublicDate":"2011-05-31T12:59:01","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3002,"text":"Paleoceanography","active":true,"publicationSubtype":{"id":10}},"title":"A 26 million year gap in the central Arctic record at the greenhouse-icehouse transition: Looking for clues","docAbstract":"<p><span>The Cenozoic record of the Lomonosov Ridge (central Arctic Ocean) recovered during Integrated Ocean Drilling Program (IODP) Expedition 302 revealed an unexpected 26 Ma hiatus, separating middle Eocene (∼44.4 Ma) from lower Miocene sediments (∼18.2 Ma). To elucidate the nature of this unconformity, we performed a multiproxy palynological (dinoflagellate cysts, pollen, and spores), micropaleontological (siliceous microfossils), inorganic, and organic (Tetra Ether Index of lipids with 86 carbon atoms (TEX</span><sub>86</sub><span>) and Branched and Isoprenoid Tetraether (BIT)) geochemical analysis of the sediments from ∼5 m below to ∼7 m above the hiatus. Four main paleoenvironmental phases (A–D) are recognized in the sediments encompassing the unconformity, two below (A–B) and two above (C–D): (A) Below the hiatus, proxies show relatively warm temperatures, with Sea Surface Temperatures (TEX</span><sub>86</sub><span>‐derived SSTs) of about 8°C and high fresh to brackish water influence. (B) Approaching the hiatus, proxies indicate a cooling trend (TEX</span><sub>86</sub><span>‐derived SSTs of ∼5°C), increased freshwater influence, and progressive shoaling of the Lomonosov Ridge drilling site, located close to or at sea level. (C) The interval directly above the unconformity contains sparse reworked Cretaceous to Oligocene dinoflagellate cysts. Sediments were deposited in a relatively shallow, restricted marine environment. Proxies show the simultaneous influence of both fresh and marine waters, with alternating oxic and anoxic conditions. Pollen indicates a relatively cold climate. Intriguingly, TEX</span><sub>86</sub><span>‐derived SSTs are unexpectedly high, ∼15–19°C. Such warm surface waters may be partially explained by the ingression of warmer North Atlantic waters after the opening of the Fram Strait during the early Miocene. (D) Sediments of the uppermost interval indicate a phase of extreme oxic conditions, and a well‐ventilated environment, which occurred after the complete opening of the Fram Strait. Importantly, and in contrast with classical postrifting thermal subsidence models for passive margins, our data suggest that sediment erosion and/or nondeposition that generated the hiatus was likely due to a progressive shoaling of the Lomonosov Ridge. A shallow water setting both before and after the hiatus suggests that the Lomonosov Ridge remained at or near sea level for the duration of the gap in the sedimentary record. Interacting sea level changes and/or tectonic activity (possibly uplift) must be invoked as possible causes for such a long hiatus.</span></p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2007PA001477","usgsCitation":"Sangiorgi, F., Brumsack, H., Willard, D.A., Schouten, S., Stickley, C.E., O’Regan, M., Reichart, G., Damste, J.S., and Brinkhuis, H., 2008, A 26 million year gap in the central Arctic record at the greenhouse-icehouse transition: Looking for clues: Paleoceanography, v. 23, no. 1, PA1S04, 13 p., https://doi.org/10.1029/2007PA001477.","productDescription":"PA1S04, 13 p.","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":203836,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Arctic","volume":"23","issue":"1","noUsgsAuthors":false,"publicationDate":"2008-02-29","publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b42d4","contributors":{"authors":[{"text":"Sangiorgi, Francesca","contributorId":108238,"corporation":false,"usgs":true,"family":"Sangiorgi","given":"Francesca","affiliations":[],"preferred":false,"id":347443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brumsack, Hans-Juergen","contributorId":61141,"corporation":false,"usgs":true,"family":"Brumsack","given":"Hans-Juergen","email":"","affiliations":[],"preferred":false,"id":347439,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Willard, Debra A. 0000-0003-4878-0942 dwillard@usgs.gov","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":2076,"corporation":false,"usgs":true,"family":"Willard","given":"Debra","email":"dwillard@usgs.gov","middleInitial":"A.","affiliations":[{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":347435,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schouten, Stefan","contributorId":84888,"corporation":false,"usgs":true,"family":"Schouten","given":"Stefan","affiliations":[],"preferred":false,"id":347440,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stickley, Catherine E.","contributorId":40715,"corporation":false,"usgs":true,"family":"Stickley","given":"Catherine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":347437,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Regan, Matthew","contributorId":24483,"corporation":false,"usgs":true,"family":"O’Regan","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":347436,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reichart, Gert-Jan","contributorId":43902,"corporation":false,"usgs":true,"family":"Reichart","given":"Gert-Jan","email":"","affiliations":[],"preferred":false,"id":347438,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Damste, Jaap S. Sinninghe","contributorId":104201,"corporation":false,"usgs":true,"family":"Damste","given":"Jaap","email":"","middleInitial":"S. Sinninghe","affiliations":[],"preferred":false,"id":347442,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Brinkhuis, Henk","contributorId":97614,"corporation":false,"usgs":true,"family":"Brinkhuis","given":"Henk","email":"","affiliations":[],"preferred":false,"id":347441,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70000105,"text":"70000105 - 2008 - Estimated home ranges can misrepresent habitat relationships on patchy landscapes","interactions":[],"lastModifiedDate":"2012-03-08T17:16:33","indexId":"70000105","displayToPublicDate":"2010-09-28T23:11:19","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Estimated home ranges can misrepresent habitat relationships on patchy landscapes","docAbstract":"Home ranges of animals are generally structured by the selective use of resource-bearing patches that comprise habitat. Based on this concept, home ranges of animals estimated from location data are commonly used to infer habitat relationships. Because home ranges estimated from animal locations are largely continuous in space, the resource-bearing patches selected by an animal from a fragmented distribution of patches would be difficult to discern; unselected patches included in the home range estimate would bias an understanding of important habitat relationships. To evaluate potential for this bias, we generated simulated home ranges based on optimal selection of resource-bearing patches across a series of simulated resource distributions that varied in the spatial continuity of resources. For simulated home ranges where selected patches were spatially disjunct, we included interstitial, unselected cells most likely to be traveled by an animal moving among selected patches. We compared characteristics of the simulated home ranges with and without interstitial patches to evaluate how insights derived from field estimates can differ from actual characteristics of home ranges, depending on patchiness of landscapes. Our results showed that contiguous home range estimates could lead to misleading insights on the quality, size, resource content, and efficiency of home ranges, proportional to the spatial discontinuity of resource-bearing patches. We conclude the potential bias of including unselected, largely irrelevant patches in the field estimates of home ranges of animals can be high, particularly for home range estimators that assume uniform use of space within home range boundaries. Thus, inferences about the habitat relationships that ultimately define an animal's home range can be misleading where animals occupy landscapes with patchily distributed resources.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Modelling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.ecolmodel.2008.05.001","issn":"03043800","usgsCitation":"Mitchell, M., and Powell, R.A., 2008, Estimated home ranges can misrepresent habitat relationships on patchy landscapes: Ecological Modelling, v. 216, no. 3-4, p. 409-414, https://doi.org/10.1016/j.ecolmodel.2008.05.001.","startPage":"409","endPage":"414","costCenters":[],"links":[{"id":199480,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18671,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2008.05.001"}],"volume":"216","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e478fe4b07f02db48a4b0","contributors":{"authors":[{"text":"Mitchell, M.S.","contributorId":26724,"corporation":false,"usgs":true,"family":"Mitchell","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":344882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powell, R. A.","contributorId":41789,"corporation":false,"usgs":true,"family":"Powell","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":344883,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70000040,"text":"70000040 - 2008 - Coupled semivariogram uncertainty of hydrogeological and geophysical data on capture zone uncertainty analysis","interactions":[],"lastModifiedDate":"2012-03-08T17:16:35","indexId":"70000040","displayToPublicDate":"2010-09-28T23:11:19","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2341,"text":"Journal of Hydrologic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Coupled semivariogram uncertainty of hydrogeological and geophysical data on capture zone uncertainty analysis","docAbstract":"This study investigates capture zone uncertainty that relates to the coupled semivariogram uncertainty of hydrogeological and geophysical data. Semivariogram uncertainty is represented by the uncertainty in structural parameters (range, sill, and nugget). We used the beta distribution function to derive the prior distributions of structural parameters. The probability distributions of structural parameters were further updated through the Bayesian approach with the Gaussian likelihood functions. Cokriging of noncollocated pumping test data and electrical resistivity data was conducted to better estimate hydraulic conductivity through autosemivariograms and pseudo-cross-semivariogram. Sensitivities of capture zone variability with respect to the spatial variability of hydraulic conductivity, porosity and aquifer thickness were analyzed using ANOVA. The proposed methodology was applied to the analysis of capture zone uncertainty at the Chicot aquifer in Southwestern Louisiana, where a regional groundwater flow model was developed. MODFLOW-MODPATH was adopted to delineate the capture zone. The ANOVA results showed that both capture zone area and compactness were sensitive to hydraulic conductivity variation. We concluded that the capture zone uncertainty due to the semivariogram uncertainty is much higher than that due to the kriging uncertainty for given semivariograms. In other words, the sole use of conditional variances of kriging may greatly underestimate the flow response uncertainty. Semivariogram uncertainty should also be taken into account in the uncertainty analysis. ?? 2008 ASCE.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrologic Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1061/(ASCE)1084-0699(2008)13:10(915)","issn":"10840699","usgsCitation":"Rahman, A., Tsai, F., White, C., and Willson, C.S., 2008, Coupled semivariogram uncertainty of hydrogeological and geophysical data on capture zone uncertainty analysis: Journal of Hydrologic Engineering, v. 13, no. 10, p. 915-925, https://doi.org/10.1061/(ASCE)1084-0699(2008)13:10(915).","startPage":"915","endPage":"925","costCenters":[],"links":[{"id":203393,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18643,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)1084-0699(2008)13:10(915)"}],"volume":"13","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b00e4b07f02db698385","contributors":{"authors":[{"text":"Rahman, A.","contributorId":93171,"corporation":false,"usgs":true,"family":"Rahman","given":"A.","email":"","affiliations":[],"preferred":false,"id":344751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tsai, F.T.-C.","contributorId":28343,"corporation":false,"usgs":true,"family":"Tsai","given":"F.T.-C.","email":"","affiliations":[],"preferred":false,"id":344748,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"White, C.D.","contributorId":46664,"corporation":false,"usgs":true,"family":"White","given":"C.D.","email":"","affiliations":[],"preferred":false,"id":344749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Willson, C. S.","contributorId":90440,"corporation":false,"usgs":false,"family":"Willson","given":"C.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":344750,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70000051,"text":"70000051 - 2008 - Fluvial erosion and post-erosional processes on Titan","interactions":[],"lastModifiedDate":"2012-03-08T17:16:34","indexId":"70000051","displayToPublicDate":"2010-09-28T23:11:19","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Fluvial erosion and post-erosional processes on Titan","docAbstract":"The surface of Titan has been revealed by Cassini observations in the infrared and radar wavelength ranges as well as locally by the Huygens lander instruments. Sand seas, recently discovered lakes, distinct landscapes and dendritic erosion patterns indicate dynamic surface processes. This study focus on erosional and depositional features that can be used to constrain the amount of liquids involved in the erosional process as well as on the compositional characteristics of depositional areas. Fluvial erosion channels on Titan as identified at the Huygens landing site and in RADAR and Visible and Infrared Mapping Spectrometer (VIMS) observations have been compared to analogous channel widths on Earth yielding average discharges of up to 1600 m3/s for short recurrence intervals that are sufficient to move centimeter-sized sediment and significantly higher discharges for long intervals. With respect to the associated drainage areas, this roughly translates to 1-150 cm/day runoff production rates with 10 years recurrence intervals and by assuming precipitation this implies 0.6-60 mm/h rainfall rates. Thus the observed surface erosion fits with the methane convective storm models as well as with the rates needed to transport sediment. During Cassini's T20 fly-by, the VIMS observed an extremely eroded area at 30?? W, 7?? S with resolutions of up to 500 m/pixel that extends over thousands of square kilometers. The spectral characteristics of this area change systematically, reflecting continuous compositional and/or particle size variations indicative of transported sediment settling out while flow capacities cease. To account for the estimated runoff production and widespread alluvial deposits of fine-grained material, release of area-dependent large fluid volumes are required. Only frequent storms with heavy rainfall or cryovolcanic induced melting can explain these erosional features. ?? 2008 Elsevier Inc.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Icarus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.icarus.2008.06.002","issn":"00191035","usgsCitation":"Jaumann, R., Brown, R.H., Stephan, K., Barnes, J.W., Soderblom, L., Sotin, C., Le Mouelic, S., Clark, R.N., Soderblom, J., Buratti, B.J., Wagner, R., McCord, T.B., Rodriguez, S., Baines, K.H., Cruikshank, D.P., Nicholson, P.D., Griffith, C., Langhans, M., and Lorenz, R.D., 2008, Fluvial erosion and post-erosional processes on Titan: Icarus, v. 197, no. 2, p. 526-538, https://doi.org/10.1016/j.icarus.2008.06.002.","startPage":"526","endPage":"538","costCenters":[],"links":[{"id":476471,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-00499090","text":"External Repository"},{"id":203752,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18654,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.icarus.2008.06.002"}],"volume":"197","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d6e4b07f02db5de5c8","contributors":{"authors":[{"text":"Jaumann, R.","contributorId":81232,"corporation":false,"usgs":false,"family":"Jaumann","given":"R.","email":"","affiliations":[],"preferred":false,"id":344806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, R. H.","contributorId":19931,"corporation":false,"usgs":false,"family":"Brown","given":"R.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":344796,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stephan, K.","contributorId":8976,"corporation":false,"usgs":true,"family":"Stephan","given":"K.","email":"","affiliations":[],"preferred":false,"id":344793,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnes, J. W.","contributorId":14554,"corporation":false,"usgs":false,"family":"Barnes","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":344795,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soderblom, L.A. 0000-0002-0917-853X","orcid":"https://orcid.org/0000-0002-0917-853X","contributorId":6139,"corporation":false,"usgs":true,"family":"Soderblom","given":"L.A.","affiliations":[],"preferred":false,"id":344791,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sotin, Christophe","contributorId":53924,"corporation":false,"usgs":false,"family":"Sotin","given":"Christophe","email":"","affiliations":[],"preferred":false,"id":344801,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Le Mouelic, S.","contributorId":92786,"corporation":false,"usgs":false,"family":"Le Mouelic","given":"S.","affiliations":[],"preferred":false,"id":344809,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Clark, R. N.","contributorId":6568,"corporation":false,"usgs":true,"family":"Clark","given":"R.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":344792,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Soderblom, J.","contributorId":52699,"corporation":false,"usgs":false,"family":"Soderblom","given":"J.","affiliations":[],"preferred":false,"id":344800,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Buratti, B. J.","contributorId":69280,"corporation":false,"usgs":false,"family":"Buratti","given":"B.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":344804,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wagner, R.","contributorId":88859,"corporation":false,"usgs":true,"family":"Wagner","given":"R.","affiliations":[],"preferred":false,"id":344807,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"McCord, T. B.","contributorId":69695,"corporation":false,"usgs":false,"family":"McCord","given":"T.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":344805,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rodriguez, S.","contributorId":54329,"corporation":false,"usgs":false,"family":"Rodriguez","given":"S.","email":"","affiliations":[],"preferred":false,"id":344802,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Baines, K. H.","contributorId":37868,"corporation":false,"usgs":false,"family":"Baines","given":"K.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":344798,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Cruikshank, D. P.","contributorId":51434,"corporation":false,"usgs":false,"family":"Cruikshank","given":"D.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":344799,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Nicholson, P. D.","contributorId":54330,"corporation":false,"usgs":false,"family":"Nicholson","given":"P.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":344803,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Griffith, C.A.","contributorId":10141,"corporation":false,"usgs":true,"family":"Griffith","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":344794,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Langhans, M.","contributorId":20456,"corporation":false,"usgs":true,"family":"Langhans","given":"M.","email":"","affiliations":[],"preferred":false,"id":344797,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Lorenz, R. D.","contributorId":90441,"corporation":false,"usgs":false,"family":"Lorenz","given":"R.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":344808,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70000052,"text":"70000052 - 2008 - Vertical tectonic deformation associated with the San Andreas fault zone offshore of San Francisco, California","interactions":[],"lastModifiedDate":"2012-03-08T17:16:34","indexId":"70000052","displayToPublicDate":"2010-09-28T23:11:19","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3525,"text":"Tectonophysics","active":true,"publicationSubtype":{"id":10}},"title":"Vertical tectonic deformation associated with the San Andreas fault zone offshore of San Francisco, California","docAbstract":"A new fault map of the shelf offshore of San Francisco, California shows that faulting occurs as a distributed shear zone that involves many fault strands with the principal displacement taken up by the San Andreas fault and the eastern strand of the San Gregorio fault zone. Structures associated with the offshore faulting show compressive deformation near where the San Andreas fault goes offshore, but deformation becomes extensional several km to the north off of the Golden Gate. Our new fault map serves as the basis for a 3-D finite element model that shows that the block between the San Andreas and San Gregorio fault zone is subsiding at a long-term rate of about 0.2-0.3??mm/yr, with the maximum subsidence occurring northwest of the Golden Gate in the area of a mapped transtensional basin. Although the long-term rates of vertical displacement primarily show subsidence, the model of coseismic deformation associated with the 1906 San Francisco earthquake indicates that uplift on the order of 10-15??cm occurred in the block northeast of the San Andreas fault. Since 1906, 5-6??cm of regional subsidence has occurred in that block. One implication of our model is that the transfer of slip from the San Andreas fault to a fault 5??km to the east, the Golden Gate fault, is not required for the area offshore of San Francisco to be in extension. This has implications for both the deposition of thick Pliocene-Pleistocene sediments (the Merced Formation) observed east of the San Andreas fault, and the age of the Peninsula segment of the San Andreas fault.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Tectonophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.tecto.2008.06.011","issn":"00401951","usgsCitation":"Ryan, H.F., Parsons, T., and Sliter, R.W., 2008, Vertical tectonic deformation associated with the San Andreas fault zone offshore of San Francisco, California: Tectonophysics, v. 457, no. 3-4, p. 209-223, https://doi.org/10.1016/j.tecto.2008.06.011.","startPage":"209","endPage":"223","costCenters":[],"links":[{"id":203753,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18655,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.tecto.2008.06.011"}],"volume":"457","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4903e4b07f02db565e6b","contributors":{"authors":[{"text":"Ryan, H. F.","contributorId":18002,"corporation":false,"usgs":true,"family":"Ryan","given":"H.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":344810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parsons, T.","contributorId":48288,"corporation":false,"usgs":true,"family":"Parsons","given":"T.","email":"","affiliations":[],"preferred":false,"id":344812,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sliter, R. W.","contributorId":37758,"corporation":false,"usgs":true,"family":"Sliter","given":"R.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":344811,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70000027,"text":"70000027 - 2008 - Bioassay for estimating the biogenic methane-generating potential of coal samples","interactions":[],"lastModifiedDate":"2018-02-01T12:48:09","indexId":"70000027","displayToPublicDate":"2010-09-28T23:11:19","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Bioassay for estimating the biogenic methane-generating potential of coal samples","docAbstract":"<div class=\"Abstracts\"><div id=\"aep-abstract-id18\" class=\"abstract author\"><div id=\"aep-abstract-sec-id19\"><p>Generation of secondary biogenic methane in coal beds is likely controlled by a combination of factors such as the bioavailability of coal carbon, the presence of a microbial community to convert coal carbon to methane, and an environment supporting microbial growth and methanogenesis. A set of treatments and controls was developed to bioassay the bioavailability of coal for conversion to methane under defined laboratory conditions. Treatments included adding a well-characterized consortium of bacteria and methanogens (enriched from modern wetland sediments) and providing conditions to support endemic microbial activity. The contribution of desorbed methane in the bioassays was determined in treatments with bromoethane sulfonic acid, an inhibitor of microbial methanogenesis. The bioassay compared 16 subbituminous coal samples collected from beds in Texas (TX), Wyoming (WY), and Alaska (AK), and two bituminous coal samples from Pennsylvania (PA). New biogenic methane was observed in several samples of subbituminous coal with the microbial consortium added, but endemic activity was less commonly observed. The highest methane generation [80&nbsp;µmol methane/g coal (56&nbsp;scf/ton or 1.75&nbsp;cm<sup>3</sup>/g)] was from a south TX coal sample that was collected from a non-gas-producing well. Subbituminous coals from the Powder River Basin, WY and North Slope Borough, AK contained more sorbed (original) methane than the TX coal sample and generated 0–23&nbsp;µmol/g (up to 16&nbsp;scf/ton or 0.5&nbsp;cm<sup>3</sup>/g) new biogenic methane in the bioassay. Standard indicators of thermal maturity such as burial depth, nitrogen content, and calorific value did not explain differences in biogenic methane among subbituminous coal samples. No original methane was observed in two bituminous samples from PA, nor was any new methane generated in bioassays of these samples. The bioassay offers a new tool for assessing the potential of coal for biogenic methane generation, and provides a platform for studying the mechanisms involved in this economically important activity.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2008.05.011","usgsCitation":"Jones, E., Voytek, M.A., Warwick, P.D., Corum, M., Cohn, A.G., Bunnell, J.E., Clark, A.C., and Orem, W.H., 2008, Bioassay for estimating the biogenic methane-generating potential of coal samples: International Journal of Coal Geology, v. 76, no. 1-2, p. 138-150, https://doi.org/10.1016/j.coal.2008.05.011.","productDescription":"13 p.","startPage":"138","endPage":"150","costCenters":[],"links":[{"id":203540,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a09e4b07f02db5fa7e1","contributors":{"authors":[{"text":"Jones, Elizabeth","contributorId":102998,"corporation":false,"usgs":true,"family":"Jones","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":344706,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voytek, Mary A.","contributorId":91943,"corporation":false,"usgs":true,"family":"Voytek","given":"Mary","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":344709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":344710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Corum, M.D. 0000-0002-9038-3935 mcorum@usgs.gov","orcid":"https://orcid.org/0000-0002-9038-3935","contributorId":2249,"corporation":false,"usgs":true,"family":"Corum","given":"M.D.","email":"mcorum@usgs.gov","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":344708,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cohn, Alexander G. agcohn@usgs.gov","contributorId":112779,"corporation":false,"usgs":false,"family":"Cohn","given":"Alexander","email":"agcohn@usgs.gov","middleInitial":"G.","affiliations":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true}],"preferred":false,"id":344711,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bunnell, Joseph E. jbunnell@usgs.gov","contributorId":556,"corporation":false,"usgs":true,"family":"Bunnell","given":"Joseph","email":"jbunnell@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":344712,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Clark, Arthur C. aclark@usgs.gov","contributorId":2320,"corporation":false,"usgs":true,"family":"Clark","given":"Arthur","email":"aclark@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":344707,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":344713,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70000018,"text":"70000018 - 2008 - Nodal failure index approach to groundwater remediation design","interactions":[],"lastModifiedDate":"2012-03-08T17:16:34","indexId":"70000018","displayToPublicDate":"2010-09-28T23:11:19","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2327,"text":"Journal of Geotechnical and Geoenvironmental Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Nodal failure index approach to groundwater remediation design","docAbstract":"Computer simulations often are used to design and to optimize groundwater remediation systems. We present a new computationally efficient approach that calculates the reliability of remedial design at every location in a model domain with a single simulation. The estimated reliability and other model information are used to select a best remedial option for given site conditions, conceptual model, and available data. To evaluate design performance, we introduce the nodal failure index (NFI) to determine the number of nodal locations at which the probability of success is below the design requirement. The strength of the NFI approach is that selected areas of interest can be specified for analysis and the best remedial design determined for this target region. An example application of the NFI approach using a hypothetical model shows how the spatial distribution of reliability can be used for a decision support system in groundwater remediation design. ?? 2008 ASCE.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geotechnical and Geoenvironmental Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1061/(ASCE)1090-0241(2008)134:10(1554)","issn":"10900241","usgsCitation":"Lee, J., Reeves, H.W., and Dowding, C., 2008, Nodal failure index approach to groundwater remediation design: Journal of Geotechnical and Geoenvironmental Engineering, v. 134, no. 10, p. 1554-1557, https://doi.org/10.1061/(ASCE)1090-0241(2008)134:10(1554).","startPage":"1554","endPage":"1557","costCenters":[],"links":[{"id":18629,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)1090-0241(2008)134:10(1554)"},{"id":203541,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"134","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1be4b07f02db6a89cf","contributors":{"authors":[{"text":"Lee, J.","contributorId":58596,"corporation":false,"usgs":true,"family":"Lee","given":"J.","affiliations":[],"preferred":false,"id":344692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reeves, H. W.","contributorId":53739,"corporation":false,"usgs":true,"family":"Reeves","given":"H.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":344691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dowding, C.H.","contributorId":89647,"corporation":false,"usgs":true,"family":"Dowding","given":"C.H.","email":"","affiliations":[],"preferred":false,"id":344693,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70000053,"text":"70000053 - 2008 - Variability of community interaction networks in marine reserves and adjacent exploited areas","interactions":[],"lastModifiedDate":"2012-03-08T17:16:33","indexId":"70000053","displayToPublicDate":"2010-09-28T23:11:19","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Variability of community interaction networks in marine reserves and adjacent exploited areas","docAbstract":"Regional and small-scale local oceanographic conditions can lead to high variability in community structure even among similar habitats. Communities with identical species composition can depict distinct networks due to different levels of disturbance as well as physical and biological processes. In this study we reconstruct community networks in four different areas off the Oregon Coast by matching simulated communities with observed dynamics. We compared reserves with harvested areas. Simulations suggested that different community networks, but with the same species composition, can represent each study site. Differences were found in predator-prey interactions as well as non-predatory interactions between community members. In addition, each site can be represented as a set of models, creating alternative stages among sites. The set of alternative models that characterize each study area depicts a sequence of functional responses where each specific model or interaction structure creates different species composition patterns. Different management practices, either in the past or of the present, may lead to alternative communities. Our findings suggest that management strategies should be analyzed at a community level that considers the possible consequences of shifting from one community scenario to another. This analysis provides a novel conceptual framework to assess the consequences of different management options for ecological communities. ?? 2008 Elsevier B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Fisheries Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.1016/j.fishres.2008.07.003","issn":"01657836","usgsCitation":"Montano-Moctezuma, G., Li, H., and Rossignol, P., 2008, Variability of community interaction networks in marine reserves and adjacent exploited areas: Fisheries Research, v. 94, no. 1, p. 99-108, https://doi.org/10.1016/j.fishres.2008.07.003.","startPage":"99","endPage":"108","costCenters":[],"links":[{"id":203386,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18656,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.fishres.2008.07.003"}],"volume":"94","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae1e4b07f02db688a04","contributors":{"authors":[{"text":"Montano-Moctezuma, G.","contributorId":45041,"corporation":false,"usgs":true,"family":"Montano-Moctezuma","given":"G.","affiliations":[],"preferred":false,"id":344814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, H.W.","contributorId":23261,"corporation":false,"usgs":true,"family":"Li","given":"H.W.","email":"","affiliations":[],"preferred":false,"id":344813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rossignol, P.A.","contributorId":90019,"corporation":false,"usgs":true,"family":"Rossignol","given":"P.A.","affiliations":[],"preferred":false,"id":344815,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70000553,"text":"70000553 - 2008 - Directivity in NGA earthquake ground motions: Analysis using isochrone theory","interactions":[],"lastModifiedDate":"2012-03-08T17:16:38","indexId":"70000553","displayToPublicDate":"2010-09-28T23:09:30","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Directivity in NGA earthquake ground motions: Analysis using isochrone theory","docAbstract":"We present correction factors that may be applied to the ground motion prediction relations of Abrahamson and Silva, Boore and Atkinson, Campbell and Bozorgnia, and Chiou and Youngs (all in this volume) to model the azimuthally varying distribution of the GMRotI50 component of ground motion (commonly called 'directivity') around earthquakes. Our correction factors may be used for planar or nonplanar faults having any dip or slip rake (faulting mechanism). Our correction factors predict directivity-induced variations of spectral acceleration that are roughly half of the strike-slip variations predicted by Somerville et al. (1997), and use of our factors reduces record-to-record sigma by about 2-20% at 5 sec or greater period. ?? 2008, Earthquake Engineering Research Institute.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earthquake Spectra","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1193/1.2928225","issn":"87552930","usgsCitation":"Spudich, P., and Chiou, B., 2008, Directivity in NGA earthquake ground motions: Analysis using isochrone theory: Earthquake Spectra, v. 24, no. 1, p. 279-298, https://doi.org/10.1193/1.2928225.","startPage":"279","endPage":"298","costCenters":[],"links":[{"id":203586,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18947,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1193/1.2928225"}],"volume":"24","issue":"1","noUsgsAuthors":false,"publicationDate":"2008-02-01","publicationStatus":"PW","scienceBaseUri":"4f4e4a82e4b07f02db64ab87","contributors":{"authors":[{"text":"Spudich, P.","contributorId":85700,"corporation":false,"usgs":true,"family":"Spudich","given":"P.","affiliations":[],"preferred":false,"id":346312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chiou, B.S.J.","contributorId":74119,"corporation":false,"usgs":true,"family":"Chiou","given":"B.S.J.","email":"","affiliations":[],"preferred":false,"id":346311,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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