{"pageNumber":"818","pageRowStart":"20425","pageSize":"25","recordCount":40767,"records":[{"id":70034224,"text":"70034224 - 2010 - Predicting performance for ecological restoration: A case study using Spartina altemiflora","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034224","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Predicting performance for ecological restoration: A case study using Spartina altemiflora","docAbstract":"The success of population-based ecological restoration relies on the growth and reproductive performance of selected donor materials, whether consisting of whole plants or seed. Accurately predicting performance requires an understanding of a variety of underlying processes, particularly gene flow and selection, which can be measured, at least in part, using surrogates such as neutral marker genetic distances and simple latitudinal effects. Here we apply a structural equation modeling approach to understanding and predicting performance in a widespread salt marsh grass, Spartina alterniflora, commonly used for ecological restoration throughout its native range in North America. We collected source materials from throughout this range, consisting of eight clones each from 23 populations, for transplantation to a common garden site in coastal Louisiana and monitored their performance. We modeled performance as a latent process described by multiple indicator variables (e.g., clone diameter, stem number) and estimated direct and indirect influences of geographic and genetic distances on performance. Genetic distances were determined by comparison of neutral molecular markers with those from a local population at the common garden site. Geographic distance metrics included dispersal distance (the minimum distance over water between donor and experimental sites) and latitude. Model results indicate direct effects of genetic distance and latitude on performance variation among the donor sites. Standardized effect strengths indicate that performance was roughly twice as sensitive to variation in genetic distance as to latitudinal variation. Dispersal distance had an indirect influence on performance through effects on genetic distance, indicating a typical pattern of genetic isolation by distance. Latitude also had an indirect effect on genetic distance through its linear relationship with dispersal distance. Three performance indicators had significant loadings on performance alone (mean clone diameter, mean number of stems, mean number of inflorescences), while the performance indicators mean stem height and mean stem width were also influenced by latitude. We suggest that dispersal distance and latitude should provide an adequate means of predicting performance in future S. alterniflora restorations and propose a maximum sampling distance of 300 km (holding latitude constant) to avoid the sampling of inappropriate ecotypes. ?? 2010 by the Ecological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1890/08-1443.1","issn":"10510761","usgsCitation":"Travis, S., and Grace, J., 2010, Predicting performance for ecological restoration: A case study using Spartina altemiflora: Ecological Applications, v. 20, no. 1, p. 192-204, https://doi.org/10.1890/08-1443.1.","startPage":"192","endPage":"204","numberOfPages":"13","costCenters":[],"links":[{"id":475940,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/08-1443.1","text":"Publisher Index Page"},{"id":216729,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/08-1443.1"},{"id":244615,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a81c1e4b0c8380cd7b6f1","contributors":{"authors":[{"text":"Travis, S.E. 0000-0001-9338-8953","orcid":"https://orcid.org/0000-0001-9338-8953","contributorId":28718,"corporation":false,"usgs":true,"family":"Travis","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":444695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grace, J.B. 0000-0001-6374-4726","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":38938,"corporation":false,"usgs":true,"family":"Grace","given":"J.B.","affiliations":[],"preferred":false,"id":444696,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034225,"text":"70034225 - 2010 - The anatomy of a (potential) disaster: Volcanoes, behavior, and population viability of the short-tailed albatross (Phoebastria albatrus)","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034225","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"The anatomy of a (potential) disaster: Volcanoes, behavior, and population viability of the short-tailed albatross (Phoebastria albatrus)","docAbstract":"Catastrophic events, either from natural (e.g., hurricane) or human-induced (e.g., forest clear-cut) processes, are a well-known threat to wild populations. However, our lack of knowledge about population-level effects of catastrophic events has inhibited the careful examination of how catastrophes affect population growth and persistence. For the critically endangered short-tailed albatross (Phoebastria albatrus), episodic volcanic eruptions are considered a serious catastrophic threat since approximately 80% of the global population of ???2500 birds (in 2006) currently breeds on an active volcano, Torishima Island. We evaluated how short-tailed albatross population persistence is affected by the catastrophic threat of a volcanic eruption relative to chronic threats. We also provide an example for overcoming the seemingly overwhelming problems created by modelling the population dynamics of a species with limited demographic data by incorporating uncertainty in our analysis. As such, we constructed a stochastic age-based matrix model that incorporated both catastrophic mortality due to volcanic eruptions and chronic mortality from several potential sources (e.g., contaminant exposure, fisheries bycatch) to determine the relative effects of these two types of threats on short-tailed albatross population growth and persistence. Modest increases (1%) in chronic (annual) mortality had a 2.5-fold greater effect on predicted short-tailed albatross stochastic population growth rate (lambda) than did the occurrence of periodic volcanic eruptions that follow historic eruption frequencies (annual probability of eruption 2.2%). Our work demonstrates that periodic catastrophic volcanic eruptions, despite their dramatic nature, are less likely to affect the population viability and recovery of short-tailed albatross than low-level chronic mortality. ?? 2009 Elsevier Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.biocon.2009.10.013","issn":"00063207","usgsCitation":"Finkelstein, M., Wolf, S., Goldman, M., Doak, D., Sievert, P., Balogh, G., and Hasegawa, H., 2010, The anatomy of a (potential) disaster: Volcanoes, behavior, and population viability of the short-tailed albatross (Phoebastria albatrus): Biological Conservation, v. 143, no. 2, p. 321-331, https://doi.org/10.1016/j.biocon.2009.10.013.","startPage":"321","endPage":"331","numberOfPages":"11","costCenters":[],"links":[{"id":216730,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2009.10.013"},{"id":244616,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"143","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba9bce4b08c986b32248e","contributors":{"authors":[{"text":"Finkelstein, M.E.","contributorId":94885,"corporation":false,"usgs":true,"family":"Finkelstein","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":444702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolf, S.","contributorId":76869,"corporation":false,"usgs":true,"family":"Wolf","given":"S.","affiliations":[],"preferred":false,"id":444700,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldman, M.","contributorId":84540,"corporation":false,"usgs":true,"family":"Goldman","given":"M.","affiliations":[],"preferred":false,"id":444701,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doak, D.F.","contributorId":39729,"corporation":false,"usgs":true,"family":"Doak","given":"D.F.","email":"","affiliations":[],"preferred":false,"id":444697,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sievert, P.R.","contributorId":104858,"corporation":false,"usgs":true,"family":"Sievert","given":"P.R.","email":"","affiliations":[],"preferred":false,"id":444703,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Balogh, G.","contributorId":42461,"corporation":false,"usgs":true,"family":"Balogh","given":"G.","email":"","affiliations":[],"preferred":false,"id":444698,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hasegawa, H.","contributorId":48416,"corporation":false,"usgs":true,"family":"Hasegawa","given":"H.","email":"","affiliations":[],"preferred":false,"id":444699,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70034226,"text":"70034226 - 2010 - Polychlorinated biphenyls, dioxins, furans, and organochlorine pesticides in spotted sandpiper eggs from the upper Hudson River basin, New York","interactions":[],"lastModifiedDate":"2018-10-20T10:53:00","indexId":"70034226","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Polychlorinated biphenyls, dioxins, furans, and organochlorine pesticides in spotted sandpiper eggs from the upper Hudson River basin, New York","docAbstract":"<p><span>In 2004, spotted sandpipers (</span><i class=\"EmphasisTypeItalic \">Actitis macularia</i><span>) were studied on the Hudson River near Fort Edward south to New Baltimore, NY and on two river drainages that flow into the Hudson River. Concentrations of 28 organochlorine pesticides, 160 polychlorinated biphenyl (PCB) congeners, and 17 dioxin and furan (PCDD-F) congeners were quantified in eggs collected on and off the Hudson River. The pattern of organochlorine pesticides and PCDD-F congeners did not differ significantly between eggs collected on and off the Hudson River. In contrast, the pattern of PCB congeners differed significantly between the Hudson River and other rivers. Total PCBs were significantly greater in eggs from the Hudson River (geometric mean&nbsp;=&nbsp;9.1&nbsp;μg PCBs/g wet weight) than from the other two rivers (0.6 and 0.6&nbsp;μg PCBs/g wet weight). Seven of 35 (20%) eggs exceeded 20&nbsp;μg PCBs/g wet weight, the estimated threshold for reduced hatching in tree swallows (</span><i class=\"EmphasisTypeItalic \">Tachycineta bicolor</i><span>) and some raptor species; the maximum concentration was 72.3&nbsp;μg PCBs/g wet weight. Models that predicted nest survival and egg success (the proportion of eggs hatching in a clutch if at least one egg hatched) as functions of contaminant levels were poorly distinguished from models that presumed no such associations. While small sample size could have contributed to the inability to distinguish among contaminant and no toxicant models, we cannot rule out the possibility that contaminant concentrations on the Hudson River were not sufficiently high to demonstrate a relationship between contaminant concentrations and reproductive success.</span></p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecotoxicology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10646-009-0425-z","issn":"09639292","usgsCitation":"Custer, T.W., Custer, C.M., and Gray, B.R., 2010, Polychlorinated biphenyls, dioxins, furans, and organochlorine pesticides in spotted sandpiper eggs from the upper Hudson River basin, New York: Ecotoxicology, v. 19, no. 2, p. 391-404, https://doi.org/10.1007/s10646-009-0425-z.","productDescription":"14 p.","startPage":"391","endPage":"404","numberOfPages":"14","costCenters":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":244648,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216761,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10646-009-0425-z"}],"country":"United States","state":"New York","otherGeospatial":"Hudson River","volume":"19","issue":"2","noUsgsAuthors":false,"publicationDate":"2009-10-07","publicationStatus":"PW","scienceBaseUri":"505a7cf5e4b0c8380cd79c87","contributors":{"authors":[{"text":"Custer, Thomas W. 0000-0003-3170-6519 tcuster@usgs.gov","orcid":"https://orcid.org/0000-0003-3170-6519","contributorId":2835,"corporation":false,"usgs":true,"family":"Custer","given":"Thomas","email":"tcuster@usgs.gov","middleInitial":"W.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":444706,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Custer, Christine M. 0000-0003-0500-1582 ccuster@usgs.gov","orcid":"https://orcid.org/0000-0003-0500-1582","contributorId":1143,"corporation":false,"usgs":true,"family":"Custer","given":"Christine","email":"ccuster@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":444705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Brian R. 0000-0001-7682-9550 brgray@usgs.gov","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":2615,"corporation":false,"usgs":true,"family":"Gray","given":"Brian","email":"brgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":444704,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034227,"text":"70034227 - 2010 - The High Resolution Imaging Science Experiment (HiRISE) during MRO's Primary Science Phase (PSP)","interactions":[],"lastModifiedDate":"2020-10-02T14:05:55.751252","indexId":"70034227","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"The High Resolution Imaging Science Experiment (HiRISE) during MRO's Primary Science Phase (PSP)","docAbstract":"<p><span>The High Resolution Imaging Science Experiment (HiRISE) on the Mars Reconnaissance Orbiter (MRO) acquired 8</span><span>&nbsp;</span><span>terapixels of data in 9137 images of Mars between October 2006 and December 2008, covering ∼0.55% of the surface. Images are typically 5–6</span><span>&nbsp;</span><span>km wide with 3-color coverage over the central 20% of the swath, and their scales usually range from 25 to 60</span><span>&nbsp;</span><span>cm/pixel. Nine hundred and sixty stereo pairs were acquired and more than 50&nbsp;digital terrain models&nbsp;(DTMs) completed; these data have led to some of the most significant science results. New methods to measure and correct distortions due to pointing jitter facilitate topographic and&nbsp;change-detection&nbsp;studies at sub-meter scales. Recent results address Noachian&nbsp;bedrock stratigraphy, fluvially deposited fans in craters and in or near Valles Marineris,&nbsp;groundwater flow&nbsp;in fractures and&nbsp;porous media, quasi-periodic layering in polar and non-polar deposits, tectonic history of west Candor Chasma, geometry of clay-rich deposits near and within Mawrth Vallis, dynamics of flood lavas in the Cerberus Palus region, evidence for&nbsp;pyroclastic deposits, columnar jointing in&nbsp;lava flows, recent collapse pits, evidence for water in well-preserved impact craters, newly discovered large rayed craters, and glacial and&nbsp;periglacial processes. Of particular interest are ongoing processes such as those driven by the wind, impact cratering, avalanches of dust and/or frost, relatively bright deposits on steep gullied slopes, and the dynamic seasonal processes over&nbsp;polar regions. HiRISE has acquired hundreds of large images of past, present and potential future&nbsp;landing sites&nbsp;and has contributed to scientific and engineering studies of those sites. Warming the focal-plane electronics prior to imaging has mitigated an instrument anomaly that produces bad data under cold operating conditions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2009.04.023","issn":"00191035","usgsCitation":"McEwen, A.S., Banks, M.E., Baugh, N., Becker, K.J., Boyd, A., Bergstrom, J.W., Beyer, R.A., Bortolini, E., Bridges, N.T., Byrne, S., Castalia, B., Chuang, F.C., Crumpler, L.S., Daubar, I., Davatzes, A.K., Deardorff, D.G., DeJong, A., Delamere, W.A., Dobrea, E.Z., Dundas, C.M., Eliason, E.M., Espinoza, Y., Fennema, A., Fishbaugh, K.E., Forrester, T., Geissler, P.E., Grant, J.A., Griffes, J.L., Grotzinger, J., Gulick, V.C., Hansen, C.J., Herkenhoff, K.E., Heyd, R., Jaeger, W.L., Jones, D., Kanefsky, B., Keszthelyi, L., King, R., Kirk, R.L., Kolb, K.J., Lasco, J., Lefort, A., Leis, R., Lewis, K.W., Martinez-Alonso, S., Mattson, S., McArthur, G.K., Mellon, M.T., Metz, J., Milazzo, M.P., Milliken, R.E., Motazedian, T., Okubo, C., Ortiz, A., Philippoff, A.J., Plassmann, J., Polit, A., Russell, P.S., Schaller, C., Searls, M.L., Spriggs, T., Squyres, S.W., Tarr, S., Thomas, N., Thomson, B.J., Tornabene, L., Van Houten, C., Verba, C., Weitz, C.M., and Wray, J.J., 2010, The High Resolution Imaging Science Experiment (HiRISE) during MRO's Primary Science Phase (PSP): Icarus, v. 205, no. 1, p. 2-37, https://doi.org/10.1016/j.icarus.2009.04.023.","productDescription":"36 p.","startPage":"2","endPage":"37","numberOfPages":"36","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":244649,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"205","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba777e4b08c986b3215a3","contributors":{"authors":[{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":444712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Banks, Maria E.","contributorId":80914,"corporation":false,"usgs":true,"family":"Banks","given":"Maria","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":444772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baugh, Nicole","contributorId":210530,"corporation":false,"usgs":false,"family":"Baugh","given":"Nicole","affiliations":[],"preferred":false,"id":444728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Becker, Kris J. 0000-0003-1971-5957 kbecker@usgs.gov","orcid":"https://orcid.org/0000-0003-1971-5957","contributorId":2910,"corporation":false,"usgs":true,"family":"Becker","given":"Kris","email":"kbecker@usgs.gov","middleInitial":"J.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":444764,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boyd, Aaron","contributorId":210531,"corporation":false,"usgs":false,"family":"Boyd","given":"Aaron","email":"","affiliations":[],"preferred":false,"id":444708,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bergstrom, James W.","contributorId":210510,"corporation":false,"usgs":false,"family":"Bergstrom","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":6944,"text":"Ball Aerospace Technologies Corporation","active":true,"usgs":false}],"preferred":false,"id":444729,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beyer, Ross A.","contributorId":204235,"corporation":false,"usgs":false,"family":"Beyer","given":"Ross","email":"","middleInitial":"A.","affiliations":[{"id":36890,"text":"Sagan Center at the SETI Institute and NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":444754,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bortolini, Edward","contributorId":210532,"corporation":false,"usgs":false,"family":"Bortolini","given":"Edward","email":"","affiliations":[],"preferred":false,"id":444730,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bridges, Nathan T.","contributorId":45005,"corporation":false,"usgs":true,"family":"Bridges","given":"Nathan","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":444719,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Byrne, Shane","contributorId":192609,"corporation":false,"usgs":false,"family":"Byrne","given":"Shane","email":"","affiliations":[],"preferred":false,"id":444773,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Castalia, Bradford","contributorId":210533,"corporation":false,"usgs":false,"family":"Castalia","given":"Bradford","email":"","affiliations":[],"preferred":false,"id":444752,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Chuang, Frank C.","contributorId":35600,"corporation":false,"usgs":true,"family":"Chuang","given":"Frank","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":444774,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Crumpler, Larry S.","contributorId":196268,"corporation":false,"usgs":false,"family":"Crumpler","given":"Larry","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":444753,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Daubar, Ingrid J.","contributorId":34431,"corporation":false,"usgs":true,"family":"Daubar","given":"Ingrid J.","affiliations":[],"preferred":false,"id":444748,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Davatzes, Alix K.","contributorId":210534,"corporation":false,"usgs":false,"family":"Davatzes","given":"Alix","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":444767,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Deardorff, Donald G.","contributorId":210535,"corporation":false,"usgs":false,"family":"Deardorff","given":"Donald","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":444763,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"DeJong, Alaina","contributorId":210536,"corporation":false,"usgs":false,"family":"DeJong","given":"Alaina","email":"","affiliations":[],"preferred":false,"id":444726,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Delamere, W. Alan","contributorId":15042,"corporation":false,"usgs":true,"family":"Delamere","given":"W.","email":"","middleInitial":"Alan","affiliations":[],"preferred":false,"id":444714,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Dobrea, Eldar Z. Noe","contributorId":194044,"corporation":false,"usgs":false,"family":"Dobrea","given":"Eldar","email":"","middleInitial":"Z. Noe","affiliations":[],"preferred":false,"id":444720,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":444756,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Eliason, Eric M.","contributorId":21280,"corporation":false,"usgs":true,"family":"Eliason","given":"Eric","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":444761,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Espinoza, 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,{"id":70034244,"text":"70034244 - 2010 - Numerical simulation of magmatic hydrothermal systems","interactions":[],"lastModifiedDate":"2012-03-12T17:21:47","indexId":"70034244","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Numerical simulation of magmatic hydrothermal systems","docAbstract":"The dynamic behavior of magmatic hydrothermal systems entails coupled and nonlinear multiphase flow, heat and solute transport, and deformation in highly heterogeneous media. Thus, quantitative analysis of these systems depends mainly on numerical solution of coupled partial differential equations and complementary equations of state (EOS). The past 2 decades have seen steady growth of computational power and the development of numerical models that have eliminated or minimized the need for various simplifying assumptions. Considerable heuristic insight has been gained from process-oriented numerical modeling. Recent modeling efforts employing relatively complete EOS and accurate transport calculations have revealed dynamic behavior that was damped by linearized, less accurate models, including fluid property control of hydrothermal plume temperatures and three-dimensional geometries. Other recent modeling results have further elucidated the controlling role of permeability structure and revealed the potential for significant hydrothermally driven deformation. Key areas for future reSearch include incorporation of accurate EOS for the complete H2O-NaCl-CO2 system, more realistic treatment of material heterogeneity in space and time, realistic description of large-scale relative permeability behavior, and intercode benchmarking comparisons. Copyright 2010 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Reviews of Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2009RG000287","issn":"87551209","usgsCitation":"Ingebritsen, S.E., Geiger, S., Hurwitz, S., and Driesner, T., 2010, Numerical simulation of magmatic hydrothermal systems: Reviews of Geophysics, v. 48, no. 1, https://doi.org/10.1029/2009RG000287.","costCenters":[],"links":[{"id":475802,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009rg000287","text":"Publisher Index Page"},{"id":244431,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216553,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2009RG000287"}],"volume":"48","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-03-19","publicationStatus":"PW","scienceBaseUri":"505a6926e4b0c8380cd73bb2","contributors":{"authors":[{"text":"Ingebritsen, S. E.","contributorId":8078,"corporation":false,"usgs":true,"family":"Ingebritsen","given":"S.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":444869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Geiger, S.","contributorId":37568,"corporation":false,"usgs":true,"family":"Geiger","given":"S.","email":"","affiliations":[],"preferred":false,"id":444870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hurwitz, S.","contributorId":61110,"corporation":false,"usgs":true,"family":"Hurwitz","given":"S.","email":"","affiliations":[],"preferred":false,"id":444872,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Driesner, T.","contributorId":53626,"corporation":false,"usgs":true,"family":"Driesner","given":"T.","email":"","affiliations":[],"preferred":false,"id":444871,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034258,"text":"70034258 - 2010 - Sources of suspended-sediment flux in streams of the chesapeake bay watershed: A regional application of the sparrow model","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034258","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Sources of suspended-sediment flux in streams of the chesapeake bay watershed: A regional application of the sparrow model","docAbstract":"We describe the sources and transport of fluvial suspended sediment in nontidal streams of the Chesapeake Bay watershed and vicinity. We applied SPAtially Referenced Regressions on Watershed attributes, which spatially correlates estimated mean annual flux of suspended sediment in nontidal streams with sources of suspended sediment and transport factors. According to our model, urban development generates on average the greatest amount of suspended sediment per unit area (3,928 Mg/km2/year), although agriculture is much more widespread and is the greatest overall source of suspended sediment (57 Mg/km2/year). Factors affecting sediment transport from uplands to streams include mean basin slope, reservoirs, physiography, and soil permeability. On average, 59% of upland suspended sediment generated is temporarily stored along large rivers draining the Coastal Plain or in reservoirs throughout the watershed. Applying erosion and sediment controls from agriculture and urban development in areas of the northern Piedmont close to the upper Bay, where the combined effects of watershed characteristics on sediment transport have the greatest influence may be most helpful in mitigating sedimentation in the bay and its tributaries. Stream restoration efforts addressing floodplain and bank stabilization and incision may be more effective in smaller, headwater streams outside of the Coastal Plain. ?? 2010 American Water Resources Association. No claim to original U.S. government works.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1752-1688.2010.00450.x","issn":"1093474X","usgsCitation":"Brakebill, J., Ator, S., and Schwarz, G., 2010, Sources of suspended-sediment flux in streams of the chesapeake bay watershed: A regional application of the sparrow model: Journal of the American Water Resources Association, v. 46, no. 4, p. 757-776, https://doi.org/10.1111/j.1752-1688.2010.00450.x.","startPage":"757","endPage":"776","numberOfPages":"20","costCenters":[],"links":[{"id":475988,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1752-1688.2010.00450.x","text":"Publisher Index Page"},{"id":216764,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2010.00450.x"},{"id":244651,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-07-26","publicationStatus":"PW","scienceBaseUri":"505b9394e4b08c986b31a58c","contributors":{"authors":[{"text":"Brakebill, J. W.","contributorId":48206,"corporation":false,"usgs":true,"family":"Brakebill","given":"J. W.","affiliations":[],"preferred":false,"id":444951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ator, S.W. 0000-0002-9186-4837","orcid":"https://orcid.org/0000-0002-9186-4837","contributorId":104100,"corporation":false,"usgs":true,"family":"Ator","given":"S.W.","affiliations":[],"preferred":false,"id":444952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwarz, G. E. 0000-0002-9239-4566","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":14852,"corporation":false,"usgs":true,"family":"Schwarz","given":"G. E.","affiliations":[],"preferred":false,"id":444950,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034259,"text":"70034259 - 2010 - The release of dissolved nutrients and metals from coastal sediments due to resuspension","interactions":[],"lastModifiedDate":"2017-08-30T14:21:12","indexId":"70034259","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2662,"text":"Marine Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"The release of dissolved nutrients and metals from coastal sediments due to resuspension","docAbstract":"Coastal sediments in many regions are impacted by high levels of contaminants. Due to a combination of shallow water depths, waves, and currents, these sediments are subject to regular episodes of sediment resuspension. However, the influence of such disturbances on sediment chemistry and the release of solutes is poorly understood. The aim of this study is to quantify the release of dissolved metals (iron, manganese, silver, copper, and lead) and nutrients due to resuspension in Boston Harbor, Massachusetts, USA. Using a laboratory-based erosion chamber, a range of typical shear stresses was applied to fine-grained Harbor sediments and the solute concentration at each shear stress was measured. At low shear stress, below the erosion threshold, limited solutes were released. Beyond the erosion threshold, a release of all solutes, except lead, was observed and the concentrations increased with shear stress. The release was greater than could be accounted for by conservative mixing of porewaters into the overlying water, suggesting that sediment resuspension enhances the release of nutrients and metals to the dissolved phase. To address the long-term fate of resuspended particles, samples from the erosion chamber were maintained in suspension for 90. h. Over this time, 5-7% of the particulate copper and silver was released to the dissolved phase, while manganese was removed from solution. Thus resuspension releases solutes both during erosion events and over a longer timescale due to reactions of suspended particles in the water column. The magnitude of the annual solute release during erosion events was estimated by coupling the erosion chamber results with a record of bottom shear stresses simulated by a hydrodynamic model. The release of dissolved copper, lead, and phosphate due to resuspension is between 2% and 10% of the total (dissolved plus particulate phase) known inputs to Boston Harbor. Sediment resuspension is responsible for transferring a significant quantity of solid phase metals to the more bioavailable and mobile dissolved phase. The relative importance of sediment resuspension as a source of dissolved metals to Boston Harbor is expected to increase as continuing pollutant control decreases the inputs from other sources. ?? 2010 Elsevier B.V.","language":"English","publisher":"Elsevier","doi":"10.1016/j.marchem.2010.05.002","issn":"03044203","usgsCitation":"Kalnejais, L.H., Martin, W.R., and Bothner, M., 2010, The release of dissolved nutrients and metals from coastal sediments due to resuspension: Marine Chemistry, v. 121, no. 1-4, p. 224-235, https://doi.org/10.1016/j.marchem.2010.05.002.","productDescription":"12 p.","startPage":"224","endPage":"235","numberOfPages":"12","ipdsId":"IP-013150","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":244682,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216790,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marchem.2010.05.002"}],"volume":"121","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505baf30e4b08c986b3245fe","contributors":{"authors":[{"text":"Kalnejais, Linda H.","contributorId":24865,"corporation":false,"usgs":true,"family":"Kalnejais","given":"Linda","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":444954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, William R.","contributorId":196033,"corporation":false,"usgs":false,"family":"Martin","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":444953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bothner, Michael H. mbothner@usgs.gov","contributorId":139855,"corporation":false,"usgs":true,"family":"Bothner","given":"Michael H.","email":"mbothner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":444955,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034290,"text":"70034290 - 2010 - Modeling the relations between flow regime components, species traits, and spawning success of fishes in warmwater streams","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034290","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the relations between flow regime components, species traits, and spawning success of fishes in warmwater streams","docAbstract":"Modifications to stream hydrologic regimes can have a profound influence on the dynamics of their fish populations. Using hierarchical linear models, we examined the relations between flow regime and young-of-year fish density using fish sampling and discharge data from three different warmwater streams in Illinois, Alabama, and Georgia. We used an information theoretic approach to evaluate the relative support for models describing hypothesized influences of five flow regime components representing: short-term high and low flows; short-term flow stability; and long-term mean flows and flow stability on fish reproductive success during fish spawning and rearing periods. We also evaluated the influence of ten fish species traits on fish reproductive success. Species traits included spawning duration, reproductive strategy, egg incubation rate, swimming locomotion morphology, general habitat preference, and food habits. Model selection results indicated that young-of-year fish density was positively related to short-term high flows during the spawning period and negatively related to flow variability during the rearing period. However, the effect of the flow regime components varied substantially among species, but was related to species traits. The effect of short-term high flows on the reproductive success was lower for species that broadcast their eggs during spawning. Species with cruiser swimming locomotion morphologies (e.g., Micropterus) also were more vulnerable to variable flows during the rearing period. Our models provide insight into the conditions and timing of flows that influence the reproductive success of warmwater stream fishes and may guide decisions related to stream regulation and management. ?? 2010 US Government.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s00267-010-9511-5","issn":"0364152X","usgsCitation":"Craven, S., Peterson, J., Freeman, M.C., Kwak, T., and Irwin, E., 2010, Modeling the relations between flow regime components, species traits, and spawning success of fishes in warmwater streams: Environmental Management, v. 46, no. 2, p. 181-194, https://doi.org/10.1007/s00267-010-9511-5.","startPage":"181","endPage":"194","numberOfPages":"14","costCenters":[],"links":[{"id":216765,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00267-010-9511-5"},{"id":244652,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-06-18","publicationStatus":"PW","scienceBaseUri":"505a5c4ee4b0c8380cd6fbb5","contributors":{"authors":[{"text":"Craven, S.W.","contributorId":50009,"corporation":false,"usgs":true,"family":"Craven","given":"S.W.","email":"","affiliations":[],"preferred":false,"id":445104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, J.T.","contributorId":30170,"corporation":false,"usgs":true,"family":"Peterson","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":445103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, Mary C. 0000-0001-7615-6923","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":99659,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":445106,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kwak, T.J.","contributorId":104236,"corporation":false,"usgs":true,"family":"Kwak","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":445107,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Irwin, E.","contributorId":95721,"corporation":false,"usgs":true,"family":"Irwin","given":"E.","email":"","affiliations":[],"preferred":false,"id":445105,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034319,"text":"70034319 - 2010 - Hydrodynamic modeling of juvenile mussel dispersal in a large river: The potential effects of bed shear stress and other parameters","interactions":[],"lastModifiedDate":"2012-03-12T17:21:47","indexId":"70034319","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Hydrodynamic modeling of juvenile mussel dispersal in a large river: The potential effects of bed shear stress and other parameters","docAbstract":"Because unionid mussels have a parasitic larval stage, they are able to disperse upstream and downstream as larvae while attached to their host fish and with flow as juveniles after excystment from the host. Understanding unionid population ecology requires knowledge of the processes that affect juvenile dispersal prior to establishment. We examined presettlement (transport and dispersion with flow) and early postsettlement (bed shear stress) hydraulic processes as negative censoring mechanisms. Our approach was to model dispersal using particle tracking through a 3-dimensional flow field output from hydrodynamic models of a reach of the Upper Mississippi River. We tested the potential effects of bed shear stress (??b) at 5 flow rates on juvenile mussel dispersal and quantified the magnitude of these effects as a function of flow rate. We explored the reach-scale relationships of Froude number (Fr), water depth (H), local bed slope (S), and unit stream power (QS) with the likelihood of juvenile settling (??). We ran multiple dispersal simulations at each flow rate to estimate ??, the parameter of a Poisson distribution, from the number of juveniles settling in each grid cell, and calculated dispersal distances. Virtual juveniles that settled in areas of the river where b &gt; critical shear stress (c) were resuspended in the flow and transported further downstream, so we ran simulations at 3 different conditions for ??c (??c = ??? no resuspension, 0.1, and 0.05 N/m2). Differences in virtual juvenile dispersal distance were significantly dependent upon c and flow rate, and effects of b on settling distribution were dependent upon c. Most simulations resulted in positive correlations between ?? and ??b, results suggesting that during early postsettlement, ??b might be the primary determinant of juvenile settling distribution. Negative correlations between ?? and ??b occurred in some simulations, a result suggesting that physical or biological presettlement processes might determine juvenile settling distributions. Field data are needed to test these hypotheses. Results support the idea that flow patterns and b can act as negative censoring mechanisms controlling settling distributions. Furthermore, a river reach probably has a quantifiable threshold range of flow rates. Above the upper threshold, ??b probably is the primary determinant of juvenile settling distribution. Relationships of ?? with H, Fr, S, and QS were relatively weak. Important physical processes that affect dispersal probably are not captured by approximations based on large-scale hydraulic parameters, such as Fr and H. ?? 2010 The North American Benthological Society.","largerWorkTitle":"Journal of the North American Benthological Society","language":"English","doi":"10.1899/09-118.1","issn":"08873593","usgsCitation":"Daraio, J., Weber, L., and Newton, T., 2010, Hydrodynamic modeling of juvenile mussel dispersal in a large river: The potential effects of bed shear stress and other parameters, <i>in</i> Journal of the North American Benthological Society, v. 29, no. 3, p. 838-851, https://doi.org/10.1899/09-118.1.","startPage":"838","endPage":"851","numberOfPages":"14","costCenters":[],"links":[{"id":244589,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216703,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1899/09-118.1"}],"volume":"29","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a333de4b0c8380cd5ee52","contributors":{"authors":[{"text":"Daraio, J.A.","contributorId":51577,"corporation":false,"usgs":true,"family":"Daraio","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":445223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weber, L.J.","contributorId":79988,"corporation":false,"usgs":true,"family":"Weber","given":"L.J.","email":"","affiliations":[],"preferred":false,"id":445224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Newton, T.J.","contributorId":104428,"corporation":false,"usgs":true,"family":"Newton","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":445225,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034328,"text":"70034328 - 2010 - Comparison of aquifer characterization approaches through steady state groundwater model validation: A controlled laboratory sandbox study","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034328","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of aquifer characterization approaches through steady state groundwater model validation: A controlled laboratory sandbox study","docAbstract":"Groundwater modeling has become a vital component to water supply and contaminant transport investigations. An important component of groundwater modeling under steady state conditions is selecting a representative hydraulic conductivity (K) estimate or set of estimates which defines the K field of the studied region. Currently, there are a number of characterization approaches to obtain K at various scales and in varying degrees of detail, but there is a paucity of information in terms of which characterization approach best predicts flow through aquifers or drawdowns caused by some drawdown inducing events. The main objective of this paper is to assess K estimates obtained by various approaches by predicting drawdowns from independent cross-hole pumping tests and total flow rates through a synthetic heterogeneous aquifer from flow-through tests. Specifically, we (1) characterize a synthetic heterogeneous aquifer built in the sandbox through various techniques (permeameter analyses of core samples, single-hole, cross-hole, and flow-through testing), (2) obtain mean K fields through traditional analysis of test data by treating the medium to be homogeneous, (3) obtain heterogeneous K fields through kriging and steady state hydraulic tomography, and (4) conduct forward simulations of 16 independent pumping tests and six flowthrough tests using these homogeneous and heterogeneous K fields and comparing them to actual data. Results show that the mean K and heterogeneous K fields estimated through kriging of small-scale K data (core and single-hole tests) yield biased predictions of drawdowns and flow rates in this synthetic heterogeneous aquifer. In contrast, the heterogeneous K distribution or ?K tomogram? estimated via steady state hydraulic tomography yields excellent predictions of drawdowns of pumping tests not used in the construction of the tomogram and very good estimates of total flow rates from the flowthrough tests. These results suggest that steady state groundwater model validation is possible in this laboratory sandbox aquifer if the heterogeneous K distribution and forcing functions (boundary conditions and source/sink terms) are characterized sufficiently. ?? 2010 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2009WR007745","issn":"00431397","usgsCitation":"Illman, W., Zhu, J., Craig, A., and Yin, D., 2010, Comparison of aquifer characterization approaches through steady state groundwater model validation: A controlled laboratory sandbox study: Water Resources Research, v. 46, no. 4, https://doi.org/10.1029/2009WR007745.","costCenters":[],"links":[{"id":475990,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009wr007745","text":"Publisher Index Page"},{"id":216852,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2009WR007745"},{"id":244748,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-04-03","publicationStatus":"PW","scienceBaseUri":"5059f850e4b0c8380cd4cffd","contributors":{"authors":[{"text":"Illman, W.A.","contributorId":53195,"corporation":false,"usgs":true,"family":"Illman","given":"W.A.","email":"","affiliations":[],"preferred":false,"id":445258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhu, J.","contributorId":6289,"corporation":false,"usgs":true,"family":"Zhu","given":"J.","email":"","affiliations":[],"preferred":false,"id":445257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Craig, A.J.","contributorId":56477,"corporation":false,"usgs":true,"family":"Craig","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":445259,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yin, D.","contributorId":90137,"corporation":false,"usgs":true,"family":"Yin","given":"D.","email":"","affiliations":[],"preferred":false,"id":445260,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034329,"text":"70034329 - 2010 - Establishing a Multi-scale Stream Gaging Network in the Whitewater River Basin, Kansas, USA","interactions":[],"lastModifiedDate":"2012-03-12T17:21:46","indexId":"70034329","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3721,"text":"Water Resources Management","onlineIssn":"1573-1650","printIssn":"0920-4741","active":true,"publicationSubtype":{"id":10}},"title":"Establishing a Multi-scale Stream Gaging Network in the Whitewater River Basin, Kansas, USA","docAbstract":"Investigating the routing of streamflow through a large drainage basin requires the determination of discharge at numerous locations in the channel network. Establishing a dense network of stream gages using conventional methods is both cost-prohibitive and functionally impractical for many research projects. We employ herein a previously tested, fluid-mechanically based model for generating rating curves to establish a stream gaging network in the Whitewater River basin in south-central Kansas. The model was developed for the type of channels typically found in this watershed, meaning that it is designed to handle deep, narrow geomorphically stable channels with irregular planforms, and can model overbank flow over a vegetated floodplain. We applied the model to ten previously ungaged stream reaches in the basin, ranging from third- to sixth-order channels. At each site, detailed field measurements of the channel and floodplain morphology, bed and bank roughness, and vegetation characteristics were used to quantify the roughness for a range of flow stages, from low flow to overbank flooding. Rating curves that relate stage to discharge were developed for all ten sites. Both fieldwork and modeling were completed in less than 2 years during an anomalously dry period in the region, which underscores an advantage of using theoretically based (as opposed to empirically based) discharge estimation techniques. ?? 2010 Springer Science+Business Media B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s11269-010-9624-x","issn":"09204741","usgsCitation":"Clayton, J., and Kean, J., 2010, Establishing a Multi-scale Stream Gaging Network in the Whitewater River Basin, Kansas, USA: Water Resources Management, v. 24, no. 13, p. 3641-3664, https://doi.org/10.1007/s11269-010-9624-x.","startPage":"3641","endPage":"3664","numberOfPages":"24","costCenters":[],"links":[{"id":216853,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11269-010-9624-x"},{"id":244749,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"13","noUsgsAuthors":false,"publicationDate":"2010-03-10","publicationStatus":"PW","scienceBaseUri":"505a0a61e4b0c8380cd52324","contributors":{"authors":[{"text":"Clayton, J.A.","contributorId":71799,"corporation":false,"usgs":true,"family":"Clayton","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":445262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kean, J. W. 0000-0003-3089-0369","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":71679,"corporation":false,"usgs":true,"family":"Kean","given":"J. W.","affiliations":[],"preferred":false,"id":445261,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034345,"text":"70034345 - 2010 - A geostatistical approach to mapping site response spectral amplifications","interactions":[],"lastModifiedDate":"2012-03-12T17:21:47","indexId":"70034345","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","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":"A geostatistical approach to mapping site response spectral amplifications","docAbstract":"If quantitative estimates of the seismic properties do not exist at a location of interest then the site response spectral amplifications must be estimated from data collected at other locations. Currently, the most common approach employs correlations of site class with maps of surficial geology. Analogously, correlations of site class with topographic slope can be employed where the surficial geology is unknown. Our goal is to identify and validate a method to estimate site response with greater spatial resolution and accuracy for regions where additional effort is warranted. This method consists of three components: region-specific data collection, a spatial model for interpolating seismic properties, and a theoretical method for computing spectral amplifications from the interpolated seismic properties. We consider three spatial interpolation schemes: correlations with surficial geology, termed the geologic trend (GT), ordinary kriging (OK), and kriging with a trend (KT). We estimate the spectral amplifications from seismic properties using the square root of impedance method, thereby linking the frequency-dependent spectral amplifications to the depth-dependent seismic properties. Thus, the range of periods for which this method is applicable is limited by the depth of exploration. A dense survey of near-surface S-wave slowness (Ss) throughout Kobe, Japan shows that the geostatistical methods give more accurate estimates of Ss than the topographic slope and GT methods, and the OK and KT methods perform equally well. We prefer the KT model because it can be seamlessly integrated with geologic maps that cover larger regions. Empirical spectral amplifications show that the region-specific data achieve more accurate estimates of observed median short-period amplifications than the topographic slope method. ?? 2010 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Engineering Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.enggeo.2010.05.010","issn":"00137952","usgsCitation":"Thompson, E., Baise, L., Kayen, R.E., Tanaka, Y., and Tanaka, H., 2010, A geostatistical approach to mapping site response spectral amplifications: Engineering Geology, v. 114, no. 3-4, p. 330-342, https://doi.org/10.1016/j.enggeo.2010.05.010.","startPage":"330","endPage":"342","numberOfPages":"13","costCenters":[],"links":[{"id":475944,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/35p167nr","text":"External Repository"},{"id":216674,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.enggeo.2010.05.010"},{"id":244559,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e407e4b0c8380cd4636b","contributors":{"authors":[{"text":"Thompson, E.M.","contributorId":104688,"corporation":false,"usgs":true,"family":"Thompson","given":"E.M.","affiliations":[],"preferred":false,"id":445334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baise, L.G.","contributorId":6239,"corporation":false,"usgs":true,"family":"Baise","given":"L.G.","affiliations":[],"preferred":false,"id":445330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kayen, R. E.","contributorId":14424,"corporation":false,"usgs":true,"family":"Kayen","given":"R.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":445332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tanaka, Y.","contributorId":14214,"corporation":false,"usgs":true,"family":"Tanaka","given":"Y.","email":"","affiliations":[],"preferred":false,"id":445331,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tanaka, H.","contributorId":35521,"corporation":false,"usgs":true,"family":"Tanaka","given":"H.","email":"","affiliations":[],"preferred":false,"id":445333,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034369,"text":"70034369 - 2010 - Carbon dioxide on the satellites of Saturn: Results from the Cassini VIMS investigation and revisions to the VIMS wavelength scale","interactions":[],"lastModifiedDate":"2012-03-12T17:21:52","indexId":"70034369","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Carbon dioxide on the satellites of Saturn: Results from the Cassini VIMS investigation and revisions to the VIMS wavelength scale","docAbstract":"Several of the icy satellites of Saturn show the spectroscopic signature of the asymmetric stretching mode of C-O in carbon dioxide (CO<sub>2</sub>) at or near the nominal solid-phase laboratory wavelength of 4.2675 ??m (2343.3 cm<sup>-1</sup>), discovered with the Visible-Infrared Mapping Spectrometer (VIMS) on the Cassini spacecraft. We report here on an analysis of the variation in wavelength and width of the CO<sub>2</sub> absorption band in the spectra of Phoebe, Iapetus, Hyperion, and Dione. Comparisons are made to laboratory spectra of pure CO<sub>2</sub>, CO<sub>2</sub> clathrates, ternary mixtures of CO<sub>2</sub> with other volatiles, implanted and adsorbed CO<sub>2</sub> in non-volatile materials, and ab initio theoretical calculations of CO<sub>2</sub> * nH<sub>2</sub>O. At the wavelength resolution of VIMS, the CO<sub>2</sub> on Phoebe is indistinguishable from pure CO<sub>2</sub> ice (each molecule's nearby neighbors are also CO<sub>2</sub>) or type II clathrate of CO<sub>2</sub> in H<sub>2</sub>O. In contrast, the CO<sub>2</sub> band on Iapetus, Hyperion, and Dione is shifted to shorter wavelengths (typically ???4.255 ??m (???2350.2 cm<sup>-1</sup>)) and broadened. These wavelengths are characteristic of complexes of CO<sub>2</sub> with different near-neighbor molecules that are encountered in other volatile mixtures such as with H<sub>2</sub>O and CH<sub>3</sub>OH, and non-volatile host materials like silicates, some clays, and zeolites. We suggest that Phoebe's CO<sub>2</sub> is native to the body as part of the initial inventory of condensates and now exposed on the surface, while CO<sub>2</sub> on the other three satellites results at least in part from particle or UV irradiation of native H<sub>2</sub>O plus a source of C, implantation or accretion from external sources, or redistribution of native CO<sub>2</sub> from the interior. The analysis presented here depends on an accurate VIMS wavelength scale. In preparation for this work, the baseline wavelength calibration for the Cassini VIMS was found to be distorted around 4.3 ??m, apparently as a consequence of telluric CO<sub>2</sub> gas absorption in the pre-launch calibration. The effect can be reproduced by convolving a sequence of model detector response profiles with a deep atmospheric CO<sub>2</sub> absorption profile, producing distorted detector profile shapes and shifted central positions. In a laboratory blackbody spectrum used for radiance calibration, close examination of the CO<sub>2</sub> absorption profile shows a similar deviation from that expected from a model. These modeled effects appear to be sufficient to explain the distortion in the existing wavelength calibration now in use. A modification to the wavelength calibration for 13 adjacent bands is provided. The affected channels span about 0.2 ??m centered on 4.28 ??m. The maximum wavelength change is about 10 nm toward longer wavelength. This adjustment has implications for interpretation of some of the spectral features observed in the affected wavelength interval, such as from CO<sub>2</sub>, as discussed in this paper.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Icarus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.icarus.2009.07.012","issn":"00191035","usgsCitation":"Cruikshank, D.P., Meyer, A., Brown, R.H., Clark, R.N., Jaumann, R., Stephan, K., Hibbitts, C.A., Sandford, S., Mastrapa, R., Filacchione, G., Ore, C., Nicholson, P.D., Buratti, B.J., McCord, T.B., Nelson, R., Dalton, J., Baines, K.H., and Matson, D.L., 2010, Carbon dioxide on the satellites of Saturn: Results from the Cassini VIMS investigation and revisions to the VIMS wavelength scale: Icarus, v. 206, no. 2, p. 561-572, https://doi.org/10.1016/j.icarus.2009.07.012.","startPage":"561","endPage":"572","numberOfPages":"12","costCenters":[],"links":[{"id":216528,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.icarus.2009.07.012"},{"id":244405,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"206","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f361e4b0c8380cd4b778","contributors":{"authors":[{"text":"Cruikshank, D. P.","contributorId":51434,"corporation":false,"usgs":false,"family":"Cruikshank","given":"D.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":445452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, A.W.","contributorId":51473,"corporation":false,"usgs":true,"family":"Meyer","given":"A.W.","email":"","affiliations":[],"preferred":false,"id":445453,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, R. H.","contributorId":19931,"corporation":false,"usgs":false,"family":"Brown","given":"R.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":445446,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, R. N.","contributorId":6568,"corporation":false,"usgs":true,"family":"Clark","given":"R.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":445444,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jaumann, R.","contributorId":81232,"corporation":false,"usgs":false,"family":"Jaumann","given":"R.","email":"","affiliations":[],"preferred":false,"id":445460,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stephan, K.","contributorId":8976,"corporation":false,"usgs":true,"family":"Stephan","given":"K.","email":"","affiliations":[],"preferred":false,"id":445445,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hibbitts, C. A.","contributorId":21703,"corporation":false,"usgs":false,"family":"Hibbitts","given":"C.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":445447,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sandford, S.A.","contributorId":106300,"corporation":false,"usgs":true,"family":"Sandford","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":445461,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mastrapa, R.M.E.","contributorId":23758,"corporation":false,"usgs":true,"family":"Mastrapa","given":"R.M.E.","email":"","affiliations":[],"preferred":false,"id":445448,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Filacchione, G.","contributorId":48740,"corporation":false,"usgs":true,"family":"Filacchione","given":"G.","affiliations":[],"preferred":false,"id":445451,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ore, C.M.D.","contributorId":77388,"corporation":false,"usgs":true,"family":"Ore","given":"C.M.D.","email":"","affiliations":[],"preferred":false,"id":445459,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Nicholson, P. D.","contributorId":54330,"corporation":false,"usgs":false,"family":"Nicholson","given":"P.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":445454,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Buratti, B. J.","contributorId":69280,"corporation":false,"usgs":false,"family":"Buratti","given":"B.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":445456,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"McCord, T. B.","contributorId":69695,"corporation":false,"usgs":false,"family":"McCord","given":"T.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":445457,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Nelson, R.M.","contributorId":38316,"corporation":false,"usgs":true,"family":"Nelson","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":445450,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Dalton, J.B.","contributorId":77251,"corporation":false,"usgs":true,"family":"Dalton","given":"J.B.","email":"","affiliations":[],"preferred":false,"id":445458,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Baines, K. H.","contributorId":37868,"corporation":false,"usgs":false,"family":"Baines","given":"K.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":445449,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Matson, D. L.","contributorId":59940,"corporation":false,"usgs":false,"family":"Matson","given":"D.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":445455,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70034433,"text":"70034433 - 2010 - Measurement of field-saturated hydraulic conductivity on fractured rock outcrops near Altamura (Southern Italy) with an adjustable large ring infiltrometer","interactions":[],"lastModifiedDate":"2012-03-12T17:21:44","indexId":"70034433","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1534,"text":"Environmental Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Measurement of field-saturated hydraulic conductivity on fractured rock outcrops near Altamura (Southern Italy) with an adjustable large ring infiltrometer","docAbstract":"Up to now, field studies set up to measure field-saturated hydraulic conductivity to evaluate contamination risks, have employed small cylinders that may not be representative of the scale of measurements in heterogeneous media. In this study, a large adjustable ring infiltrometer was designed to be installed on-site directly on rock to measure its field-saturated hydraulic conductivity. The proposed device is inexpensive and simple to implement, yet also very versatile, due to its large adjustable diameter that can be fixed on-site. It thus allows an improved representation of the natural system's heterogeneity, while also taking into consideration irregularities in the soil/rock surface. The new apparatus was tested on an outcrop of karstic fractured limestone overlying the deep Murge aquifer in the South of Italy, which has recently been affected by untreated sludge disposal, derived from municipal and industrial wastewater treatment plants. The quasi-steady vertical flow into the unsaturated fractures was investigated by measuring water levels during infiltrometer tests. Simultaneously, subsurface electrical resistivity measurements were used to visualize the infiltration of water in the subsoil, due to unsaturated water flow in the fractures. The proposed experimental apparatus works well on rock outcrops, and allows the repetition of infiltration tests at many locations in order to reduce model uncertainties in heterogeneous media. ?? 2009 Springer-Verlag.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Earth Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s12665-009-0198-y","issn":"18666280","usgsCitation":"Caputo, M., de Carlo, L., Masciopinto, C., and Nimmo, J., 2010, Measurement of field-saturated hydraulic conductivity on fractured rock outcrops near Altamura (Southern Italy) with an adjustable large ring infiltrometer: Environmental Earth Sciences, v. 60, no. 3, p. 583-590, https://doi.org/10.1007/s12665-009-0198-y.","startPage":"583","endPage":"590","numberOfPages":"8","costCenters":[],"links":[{"id":216565,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12665-009-0198-y"},{"id":244443,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"3","noUsgsAuthors":false,"publicationDate":"2009-06-23","publicationStatus":"PW","scienceBaseUri":"505a5300e4b0c8380cd6c7ee","contributors":{"authors":[{"text":"Caputo, Maria C.","contributorId":48756,"corporation":false,"usgs":false,"family":"Caputo","given":"Maria C.","affiliations":[],"preferred":false,"id":445761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Carlo, L.","contributorId":26159,"corporation":false,"usgs":true,"family":"de Carlo","given":"L.","email":"","affiliations":[],"preferred":false,"id":445760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Masciopinto, C.","contributorId":82156,"corporation":false,"usgs":true,"family":"Masciopinto","given":"C.","email":"","affiliations":[],"preferred":false,"id":445763,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nimmo, J. R. 0000-0001-8191-1727","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":58304,"corporation":false,"usgs":true,"family":"Nimmo","given":"J. R.","affiliations":[],"preferred":false,"id":445762,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034445,"text":"70034445 - 2010 - Functional response models to estimate feeding rates of wading birds","interactions":[],"lastModifiedDate":"2012-03-12T17:21:48","indexId":"70034445","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Functional response models to estimate feeding rates of wading birds","docAbstract":"Forager (predator) abundance may mediate feeding rates in wading birds. Yet, when modeled, feeding rates are typically derived from the purely prey-dependent Holling Type II (HoII) functional response model. Estimates of feeding rates are necessary to evaluate wading bird foraging strategies and their role in food webs; thus, models that incorporate predator dependence warrant consideration. Here, data collected in a mangrove swamp in Puerto Rico in 1994 were reanalyzed, reporting feeding rates for mixed-species flocks after comparing fits of the HoII model, as used in the original work, to the Beddington-DeAngelis (BD) and Crowley-Martin (CM) predator-dependent models. Model CM received most support (AIC c wi = 0.44), but models BD and HoII were plausible alternatives (AIC c ??? 2). Results suggested that feeding rates were constrained by predator abundance. Reductions in rates were attributed to interference, which was consistent with the independently observed increase in aggression as flock size increased (P < 0.05). Substantial discrepancies between the CM and HoII models were possible depending on flock sizes used to model feeding rates. However, inferences derived from the HoII model, as used in the original work, were sound. While Holling's Type II and other purely prey-dependent models have fostered advances in wading bird foraging ecology, evaluating models that incorporate predator dependence could lead to a more adequate description of data and processes of interest. The mechanistic bases used to derive models used here lead to biologically interpretable results and advance understanding of wading bird foraging ecology.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Waterbirds","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1675/063.033.0104","issn":"15244695","usgsCitation":"Collazo, J., Gilliam, J., and Miranda-Castro, L., 2010, Functional response models to estimate feeding rates of wading birds: Waterbirds, v. 33, no. 1, p. 33-40, https://doi.org/10.1675/063.033.0104.","startPage":"33","endPage":"40","numberOfPages":"8","costCenters":[],"links":[{"id":475864,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1675/063.033.0104","text":"Publisher Index Page"},{"id":244663,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216774,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1675/063.033.0104"}],"volume":"33","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1415e4b0c8380cd548ce","contributors":{"authors":[{"text":"Collazo, J.A.","contributorId":35039,"corporation":false,"usgs":true,"family":"Collazo","given":"J.A.","affiliations":[],"preferred":false,"id":445817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilliam, J.F.","contributorId":58495,"corporation":false,"usgs":true,"family":"Gilliam","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":445818,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miranda-Castro, L.","contributorId":92080,"corporation":false,"usgs":true,"family":"Miranda-Castro","given":"L.","email":"","affiliations":[],"preferred":false,"id":445819,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034457,"text":"70034457 - 2010 - A shallow subsurface controlled release facility in Bozeman, Montana, USA, for testing near surface CO2 detection techniques and transport models","interactions":[],"lastModifiedDate":"2018-10-10T11:30:02","indexId":"70034457","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1534,"text":"Environmental Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"A shallow subsurface controlled release facility in Bozeman, Montana, USA, for testing near surface CO2 detection techniques and transport models","docAbstract":"<p>A controlled field pilot has been developed in Bozeman, Montana, USA, to study near surface CO2 transport and detection technologies. A slotted horizontal well divided into six zones was installed in the shallow subsurface. The scale and CO2 release rates were chosen to be relevant to developing monitoring strategies for geological carbon storage. The field site was characterized before injection, and CO2 transport and concentrations in saturated soil and the vadose zone were modeled. Controlled releases of CO2 from the horizontal well were performed in the summers of 2007 and 2008, and collaborators from six national labs, three universities, and the U.S. Geological Survey investigated movement of CO2 through the soil, water, plants, and air with a wide range of near surface detection techniques. An overview of these results will be presented.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Earth Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s12665-009-0400-2","issn":"18666280","usgsCitation":"Spangler, L., Dobeck, L., Repasky, K., Nehrir, A., Humphries, S., Keith, C., Shaw, J., Rouse, J., Cunningham, A., Benson, S., Oldenburg, C., Lewicki, J., Wells, A., Diehl, J., Strazisar, B., Fessenden, J., Rahn, T., Amonette, J., Barr, J., Pickles, W., Jacobson, J., Silver, E.A., Male, E., Rauch, H., Gullickson, K., Trautz, R., Kharaka, Y.K., Birkholzer, J., and Wielopolski, L., 2010, A shallow subsurface controlled release facility in Bozeman, Montana, USA, for testing near surface CO2 detection techniques and transport models: Environmental Earth Sciences, v. 60, no. 2, p. 227-239, https://doi.org/10.1007/s12665-009-0400-2.","productDescription":"13 p.","startPage":"227","endPage":"239","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":475936,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12665-009-0400-2","text":"Publisher Index Page"},{"id":244858,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216956,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12665-009-0400-2"}],"country":"United States","state":"Montana","city":"Bozeman","volume":"60","issue":"2","noUsgsAuthors":false,"publicationDate":"2009-12-22","publicationStatus":"PW","scienceBaseUri":"5059e587e4b0c8380cd46dc8","contributors":{"authors":[{"text":"Spangler, L.H.","contributorId":19401,"corporation":false,"usgs":true,"family":"Spangler","given":"L.H.","email":"","affiliations":[],"preferred":false,"id":445886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dobeck, L.M.","contributorId":103493,"corporation":false,"usgs":true,"family":"Dobeck","given":"L.M.","affiliations":[],"preferred":false,"id":445912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Repasky, K.S.","contributorId":100222,"corporation":false,"usgs":true,"family":"Repasky","given":"K.S.","email":"","affiliations":[],"preferred":false,"id":445910,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nehrir, A.R.","contributorId":58870,"corporation":false,"usgs":true,"family":"Nehrir","given":"A.R.","email":"","affiliations":[],"preferred":false,"id":445898,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Humphries, S.D.","contributorId":21377,"corporation":false,"usgs":true,"family":"Humphries","given":"S.D.","email":"","affiliations":[],"preferred":false,"id":445887,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keith, C.J.","contributorId":54435,"corporation":false,"usgs":true,"family":"Keith","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":445896,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shaw, J.A.","contributorId":34748,"corporation":false,"usgs":true,"family":"Shaw","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":445890,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rouse, J.H.","contributorId":52431,"corporation":false,"usgs":true,"family":"Rouse","given":"J.H.","email":"","affiliations":[],"preferred":false,"id":445895,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cunningham, A.B.","contributorId":107130,"corporation":false,"usgs":true,"family":"Cunningham","given":"A.B.","email":"","affiliations":[],"preferred":false,"id":445913,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Benson, S.M.","contributorId":102901,"corporation":false,"usgs":true,"family":"Benson","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":445911,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Oldenburg, C.M.","contributorId":57684,"corporation":false,"usgs":true,"family":"Oldenburg","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":445897,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lewicki, J.L.","contributorId":85760,"corporation":false,"usgs":true,"family":"Lewicki","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":445905,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wells, A.W.","contributorId":73035,"corporation":false,"usgs":true,"family":"Wells","given":"A.W.","email":"","affiliations":[],"preferred":false,"id":445902,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Diehl, J.R.","contributorId":64065,"corporation":false,"usgs":true,"family":"Diehl","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":445901,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Strazisar, B.R.","contributorId":92519,"corporation":false,"usgs":true,"family":"Strazisar","given":"B.R.","email":"","affiliations":[],"preferred":false,"id":445908,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Fessenden, J.E.","contributorId":27714,"corporation":false,"usgs":true,"family":"Fessenden","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":445889,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Rahn, T.A.","contributorId":85802,"corporation":false,"usgs":true,"family":"Rahn","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":445906,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Amonette, J.E.","contributorId":48796,"corporation":false,"usgs":true,"family":"Amonette","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":445894,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Barr, J.L.","contributorId":36616,"corporation":false,"usgs":true,"family":"Barr","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":445891,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Pickles, W.L.","contributorId":41678,"corporation":false,"usgs":true,"family":"Pickles","given":"W.L.","email":"","affiliations":[],"preferred":false,"id":445892,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Jacobson, J.D.","contributorId":42810,"corporation":false,"usgs":true,"family":"Jacobson","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":445893,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Silver, E. A.","contributorId":18491,"corporation":false,"usgs":true,"family":"Silver","given":"E.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":445885,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Male, E.J.","contributorId":76972,"corporation":false,"usgs":true,"family":"Male","given":"E.J.","email":"","affiliations":[],"preferred":false,"id":445903,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Rauch, H.W.","contributorId":63243,"corporation":false,"usgs":true,"family":"Rauch","given":"H.W.","email":"","affiliations":[],"preferred":false,"id":445899,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Gullickson, K.S.","contributorId":26907,"corporation":false,"usgs":true,"family":"Gullickson","given":"K.S.","email":"","affiliations":[],"preferred":false,"id":445888,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Trautz, R.","contributorId":95290,"corporation":false,"usgs":true,"family":"Trautz","given":"R.","affiliations":[],"preferred":false,"id":445909,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Kharaka, Yousif K. 0000-0001-9861-8260 ykharaka@usgs.gov","orcid":"https://orcid.org/0000-0001-9861-8260","contributorId":1928,"corporation":false,"usgs":true,"family":"Kharaka","given":"Yousif","email":"ykharaka@usgs.gov","middleInitial":"K.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":445900,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Birkholzer, J.","contributorId":84590,"corporation":false,"usgs":true,"family":"Birkholzer","given":"J.","affiliations":[],"preferred":false,"id":445904,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Wielopolski, L.","contributorId":88580,"corporation":false,"usgs":true,"family":"Wielopolski","given":"L.","email":"","affiliations":[],"preferred":false,"id":445907,"contributorType":{"id":1,"text":"Authors"},"rank":30}]}}
,{"id":70034496,"text":"70034496 - 2010 - First Results of the Regional Earthquake Likelihood Models Experiment","interactions":[],"lastModifiedDate":"2012-03-12T17:21:40","indexId":"70034496","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"First Results of the Regional Earthquake Likelihood Models Experiment","docAbstract":"The ability to successfully predict the future behavior of a system is a strong indication that the system is well understood. Certainly many details of the earthquake system remain obscure, but several hypotheses related to earthquake occurrence and seismic hazard have been proffered, and predicting earthquake behavior is a worthy goal and demanded by society. Along these lines, one of the primary objectives of the Regional Earthquake Likelihood Models (RELM) working group was to formalize earthquake occurrence hypotheses in the form of prospective earthquake rate forecasts in California. RELM members, working in small research groups, developed more than a dozen 5-year forecasts; they also outlined a performance evaluation method and provided a conceptual description of a Testing Center in which to perform predictability experiments. Subsequently, researchers working within the Collaboratory for the Study of Earthquake Predictability (CSEP) have begun implementing Testing Centers in different locations worldwide, and the RELM predictability experiment-a truly prospective earthquake prediction effort-is underway within the U. S. branch of CSEP. The experiment, designed to compare time-invariant 5-year earthquake rate forecasts, is now approximately halfway to its completion. In this paper, we describe the models under evaluation and present, for the first time, preliminary results of this unique experiment. While these results are preliminary-the forecasts were meant for an application of 5 years-we find interesting results: most of the models are consistent with the observation and one model forecasts the distribution of earthquakes best. We discuss the observed sample of target earthquakes in the context of historical seismicity within the testing region, highlight potential pitfalls of the current tests, and suggest plans for future revisions to experiments such as this one. ?? 2010 The Author(s).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Pure and Applied Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s00024-010-0081-5","issn":"00334553","usgsCitation":"Schorlemmer, D., Zechar, J., Werner, M., Field, E.H., Jackson, D., and Jordan, T., 2010, First Results of the Regional Earthquake Likelihood Models Experiment: Pure and Applied Geophysics, v. 167, no. 8-9, p. 859-876, https://doi.org/10.1007/s00024-010-0081-5.","startPage":"859","endPage":"876","numberOfPages":"18","costCenters":[],"links":[{"id":487850,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00024-010-0081-5","text":"Publisher Index Page"},{"id":243436,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215620,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00024-010-0081-5"}],"volume":"167","issue":"8-9","noUsgsAuthors":false,"publicationDate":"2010-05-11","publicationStatus":"PW","scienceBaseUri":"505a104fe4b0c8380cd53bff","contributors":{"authors":[{"text":"Schorlemmer, D.","contributorId":30468,"corporation":false,"usgs":true,"family":"Schorlemmer","given":"D.","affiliations":[],"preferred":false,"id":446073,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zechar, J.D.","contributorId":73432,"corporation":false,"usgs":true,"family":"Zechar","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":446076,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Werner, M.J.","contributorId":31224,"corporation":false,"usgs":true,"family":"Werner","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":446074,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Field, E. H.","contributorId":86915,"corporation":false,"usgs":true,"family":"Field","given":"E.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":446078,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, D.D.","contributorId":41011,"corporation":false,"usgs":true,"family":"Jackson","given":"D.D.","email":"","affiliations":[],"preferred":false,"id":446075,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jordan, T.H.","contributorId":83320,"corporation":false,"usgs":true,"family":"Jordan","given":"T.H.","affiliations":[],"preferred":false,"id":446077,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034550,"text":"70034550 - 2010 - A Bayesian approach to identifying structural nonlinearity using free-decay response: Application to damage detection in composites","interactions":[],"lastModifiedDate":"2012-03-12T17:21:39","indexId":"70034550","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2461,"text":"Journal of Sound and Vibration","active":true,"publicationSubtype":{"id":10}},"title":"A Bayesian approach to identifying structural nonlinearity using free-decay response: Application to damage detection in composites","docAbstract":"This work discusses a Bayesian approach to approximating the distribution of parameters governing nonlinear structural systems. Specifically, we use a Markov Chain Monte Carlo method for sampling the posterior parameter distributions thus producing both point and interval estimates for parameters. The method is first used to identify both linear and nonlinear parameters in a multiple degree-of-freedom structural systems using free-decay vibrations. The approach is then applied to the problem of identifying the location, size, and depth of delamination in a model composite beam. The influence of additive Gaussian noise on the response data is explored with respect to the quality of the resulting parameter estimates.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Sound and Vibration","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jsv.2010.02.004","issn":"0022460X","usgsCitation":"Nichols, J., Link, W., Murphy, K., and Olson, C., 2010, A Bayesian approach to identifying structural nonlinearity using free-decay response: Application to damage detection in composites: Journal of Sound and Vibration, v. 329, no. 15, p. 2995-3007, https://doi.org/10.1016/j.jsv.2010.02.004.","startPage":"2995","endPage":"3007","numberOfPages":"13","costCenters":[],"links":[{"id":215860,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jsv.2010.02.004"},{"id":243692,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"329","issue":"15","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e2c8e4b0c8380cd45c4a","contributors":{"authors":[{"text":"Nichols, J.M.","contributorId":18080,"corporation":false,"usgs":true,"family":"Nichols","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":446343,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Link, W.A. 0000-0002-9913-0256","orcid":"https://orcid.org/0000-0002-9913-0256","contributorId":8815,"corporation":false,"usgs":true,"family":"Link","given":"W.A.","affiliations":[],"preferred":false,"id":446342,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, K.D.","contributorId":50004,"corporation":false,"usgs":true,"family":"Murphy","given":"K.D.","email":"","affiliations":[],"preferred":false,"id":446344,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olson, C.C.","contributorId":50374,"corporation":false,"usgs":true,"family":"Olson","given":"C.C.","email":"","affiliations":[],"preferred":false,"id":446345,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034551,"text":"70034551 - 2010 - Modeling fire severity in black spruce stands in the Alaskan boreal forest using spectral and non-spectral geospatial data","interactions":[],"lastModifiedDate":"2017-11-22T11:30:36","indexId":"70034551","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Modeling fire severity in black spruce stands in the Alaskan boreal forest using spectral and non-spectral geospatial data","docAbstract":"<p><span>Biomass burning in the Alaskan interior is already a major disturbance and source of carbon emissions, and is likely to increase in response to the warming and drying predicted for the future climate. In addition to quantifying changes to the spatial and temporal patterns of burned areas, observing variations in severity is the key to studying the impact of changes to the fire regime on carbon cycling, energy budgets, and post-fire succession. Remote sensing indices of fire severity have not consistently been well-correlated with in situ observations of important severity characteristics in Alaskan black spruce stands, including depth of burning of the surface organic layer. The incorporation of ancillary data such as in situ observations and GIS layers with spectral data from Landsat TM/ETM+ greatly improved efforts to map the reduction of the organic layer in burned black spruce stands. Using a regression tree approach, the R2 of the organic layer depth reduction models was 0.60 and 0.55 (pb0.01) for relative and absolute depth reduction, respectively. All of the independent variables used by the regression tree to estimate burn depth can be obtained independently of field observations. Implementation of a gradient boosting algorithm improved the R2 to 0.80 and 0.79 (pb0.01) for absolute and relative organic layer depth reduction, respectively. Independent variables used in the regression tree model of burn depth included topographic position, remote sensing indices related to soil and vegetation characteristics, timing of the fire event, and meteorological data. Post-fire organic layer depth characteristics are determined for a large (N200,000 ha) fire to identify areas that are potentially vulnerable to a shift in post-fire succession. This application showed that 12% of this fire event experienced fire severe enough to support a change in post-fire succession. We conclude that non-parametric models and ancillary data are useful in the modeling of the surface organic layer fire depth. Because quantitative differences in post-fire surface characteristics do not directly influence spectral properties, these modeling techniques provide better information than the use of remote sensing data alone.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2010.02.001","issn":"00344257","usgsCitation":"Barrett, K.M., Kasischke, E., McGuire, A., Turetsky, M., and Kane, E., 2010, Modeling fire severity in black spruce stands in the Alaskan boreal forest using spectral and non-spectral geospatial data: Remote Sensing of Environment, v. 114, no. 7, p. 1494-1503, https://doi.org/10.1016/j.rse.2010.02.001.","productDescription":"10 p.","startPage":"1494","endPage":"1503","numberOfPages":"10","ipdsId":"IP-018226","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":243722,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215887,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2010.02.001"}],"volume":"114","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5bf8e4b0c8380cd6f937","contributors":{"authors":[{"text":"Barrett, Kirsten M. kbarrett@usgs.gov","contributorId":2979,"corporation":false,"usgs":true,"family":"Barrett","given":"Kirsten","email":"kbarrett@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":446347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kasischke, E.S.","contributorId":61201,"corporation":false,"usgs":true,"family":"Kasischke","given":"E.S.","email":"","affiliations":[],"preferred":false,"id":446349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, A. D.","contributorId":16552,"corporation":false,"usgs":true,"family":"McGuire","given":"A. D.","affiliations":[],"preferred":false,"id":446346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turetsky, M.R.","contributorId":107470,"corporation":false,"usgs":true,"family":"Turetsky","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":446350,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kane, E.S.","contributorId":42275,"corporation":false,"usgs":true,"family":"Kane","given":"E.S.","email":"","affiliations":[],"preferred":false,"id":446348,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034578,"text":"70034578 - 2010 - Environmental conditions and biotic interactions influence ecosystem structure and function in a drying stream","interactions":[],"lastModifiedDate":"2012-03-12T17:21:40","indexId":"70034578","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Environmental conditions and biotic interactions influence ecosystem structure and function in a drying stream","docAbstract":"Benthic consumers influence stream ecosystem structure and function, but these interactions depend on environmental context. We experimentally quantified the effects of central stoneroller minnows (Campostoma anomalum (Rafinesque) and Meek's crayfish (Orconectes meeki meeki (Faxon)) on benthic communities using electric exclusion quadrats in Little Mulberry Creek before (June) and during (August) seasonal stream drying. Unglazed ceramic tiles were deployed in June and August to measure periphyton and invertebrate abundance, and leafpack decomposition and primary production were also measured in August. Relationships between stoneroller and crayfish density and the size of consumer effects were evaluated with multiple linear regression models. Average chlorophyll a abundance was greater on exposed than exclusion tiles in August, but not in June. Sediment dry mass, periphyton ash-free dry mass (AFDM), and chironomid densities on tiles did not differ among treatments in either period. Leaf packs decayed faster in exposed than exclusion treatments (k<sub>exposed</sub> = 0.038 ?? 0.013, k<sub>exclusion</sub> = 0.007 ?? 0.002), but consumer effects were stronger in some pools than others. Leafpack invertebrate biomass and abundance and tile primary productivity did not differ among treatments. Consumer effects on chlorophyll a were related to crayfish and stoneroller density, and effects on chironomid density were related to stoneroller density. These results contrast with a previous exclusion experiment in Little Mulberry Creek that demonstrated strong consumer effects. The influence of stream drying on consumer effects appears to have been reduced by strong spates, underscoring the importance of conducting multi-year studies to determine the magnitude of variability in ecological interactions. ?? US Government: USGS 2010.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrobiologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10750-010-0102-5","issn":"00188158","usgsCitation":"Ludlam, J., and Magoulick, D., 2010, Environmental conditions and biotic interactions influence ecosystem structure and function in a drying stream: Hydrobiologia, v. 644, no. 1, p. 127-137, https://doi.org/10.1007/s10750-010-0102-5.","startPage":"127","endPage":"137","numberOfPages":"11","costCenters":[],"links":[{"id":215832,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10750-010-0102-5"},{"id":243659,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"644","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-02-09","publicationStatus":"PW","scienceBaseUri":"505a09a6e4b0c8380cd51fe0","contributors":{"authors":[{"text":"Ludlam, J.P.","contributorId":47605,"corporation":false,"usgs":true,"family":"Ludlam","given":"J.P.","affiliations":[],"preferred":false,"id":446478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magoulick, D.D.","contributorId":80862,"corporation":false,"usgs":true,"family":"Magoulick","given":"D.D.","affiliations":[],"preferred":false,"id":446479,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034593,"text":"70034593 - 2010 - Vadose zone attenuation of organic compounds at a crude oil spill site - Interactions between biogeochemical reactions and multicomponent gas transport","interactions":[],"lastModifiedDate":"2018-10-11T10:26:50","indexId":"70034593","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Vadose zone attenuation of organic compounds at a crude oil spill site - Interactions between biogeochemical reactions and multicomponent gas transport","docAbstract":"<p><span>Contaminant attenuation processes in the vadose zone of a crude oil spill site near Bemidji, MN have been simulated with a reactive transport model that includes multicomponent gas transport, solute transport, and the most relevant biogeochemical reactions. Dissolution and volatilization of oil components, their aerobic and anaerobic degradation coupled with sequential electron acceptor consumption, ingress of atmospheric O</span><sub>2</sub><span>, and the release of CH</span><sub>4</sub><span>&nbsp;and CO</span><sub>2</sub><span>&nbsp;from the smear zone generated by the floating oil were considered. The focus of the simulations was to assess the dynamics between biodegradation and gas transport processes in the vadose zone, to evaluate the rates and contributions of different electron accepting processes towards vadose zone natural attenuation, and to provide an estimate of the historical mass loss. Concentration distributions of reactive (O</span><sub>2</sub><span>, CH</span><sub>4</sub><span>, and CO</span><sub>2</sub><span>) and non-reactive (Ar and N</span><sub>2</sub><span>) gases served as key constraints for the model calibration. Simulation results confirm that as of 2007, the main degradation pathway can be attributed to methanogenic degradation of organic compounds in the smear zone and the vadose zone resulting in a contaminant plume dominated by high CH</span><sub>4</sub><span>&nbsp;concentrations. In accordance with field observations, zones of volatilization and CH</span><sub>4</sub><span>&nbsp;generation are correlated to slightly elevated total gas pressures and low partial pressures of N</span><sub>2</sub><span>&nbsp;and Ar, while zones of aerobic CH</span><sub>4</sub><span>&nbsp;oxidation are characterized by slightly reduced gas pressures and elevated concentrations of N</span><sub>2</sub><span>&nbsp;and Ar. Diffusion is the most significant transport mechanism for gases in the vadose zone; however, the simulations also indicate that, despite very small pressure gradients, advection contributes up to 15% towards the net flux of CH</span><sub>4</sub><span>, and to a more limited extent to O</span><sub>2</sub><span>&nbsp;ingress. Model calibration strongly suggests that transfer of biogenically generated gases from the smear zone provides a major control on vadose zone gas distributions and vadose zone carbon balance. Overall, the model was successful in capturing the complex interactions between biogeochemical reactions and multicomponent gas transport processes. However, despite employing a process-based modeling approach, honoring observed parameter ranges, and generally obtaining good agreement between field observations and model simulations, accurate quantification of natural attenuation rates remains difficult. The modeling results are affected by uncertainties regarding gas phase saturations, tortuosities, and the magnitude of CH</span><sub>4</sub><span>&nbsp;and CO</span><sub>2</sub><span>&nbsp;flux from the smear zone. These findings highlight the need to better delineate gas fluxes at the model boundaries, which will help constrain contaminant degradation rates, and ultimately source zone longevity.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jconhyd.2009.09.002","issn":"01697722","usgsCitation":"Molins, S., Mayer, K., Amos, R., and Bekins, B.A., 2010, Vadose zone attenuation of organic compounds at a crude oil spill site - Interactions between biogeochemical reactions and multicomponent gas transport: Journal of Contaminant Hydrology, v. 112, no. 1-4, p. 15-29, https://doi.org/10.1016/j.jconhyd.2009.09.002.","productDescription":"15 p.","startPage":"15","endPage":"29","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":243408,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215594,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jconhyd.2009.09.002"}],"country":"United States","state":"Minnesota","city":"Bemidji","volume":"112","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc0f7e4b08c986b32a3db","contributors":{"authors":[{"text":"Molins, S.","contributorId":24589,"corporation":false,"usgs":true,"family":"Molins","given":"S.","email":"","affiliations":[],"preferred":false,"id":446551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mayer, K.U.","contributorId":80891,"corporation":false,"usgs":true,"family":"Mayer","given":"K.U.","email":"","affiliations":[],"preferred":false,"id":446553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amos, R.T.","contributorId":61630,"corporation":false,"usgs":true,"family":"Amos","given":"R.T.","email":"","affiliations":[],"preferred":false,"id":446552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bekins, Barbara A. 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":1348,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":446554,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034610,"text":"70034610 - 2010 - On the composition of earth's short-period seismic noise field","interactions":[],"lastModifiedDate":"2012-03-12T17:21:40","indexId":"70034610","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"On the composition of earth's short-period seismic noise field","docAbstract":"In the classic microseismic band of 5-20 sec, seismic noise consists mainly of fundamental mode Rayleigh and Love waves; however, at shorter periods seismic noise also contains a significant amount of body-wave energy and higher mode surface waves. In this study we perform a global survey of Earth's short-period seismic noise field with the goal of quantifying the relative contributions of these propagation modes. We examined a year's worth of vertical component data from 18 seismic arrays of the International Monitoring System that were sited in a variety of geologic environments. The apertures of the arrays varied from 2 to 28 km, constraining the periods we analyzed to 0.25-2.5 sec. Using frequency-wavenumber analysis we identified the apparent velocity for each sample of noise and classified its mode of propagation. The dominant component was found to be L<sub>g</sub>, occurring in about 50% of the noise windows. Because L<sub>g</sub> does not propagate across ocean-continent boundaries, this energy is most likely created in shallow water areas near coastlines. The next most common component was P-wave energy, which accounted for about 28% of the noise windows. These were split between regional P waves (P<sub>n</sub>=P<sub>g</sub> at 6%), mantle bottoming P waves (14%), and core-sensitive waves (PKP at 8%). This energy is mostly generated in deep water away from coastlines, with a region of the North Pacific centered at 165?? W and 40?? N being especially prolific. The remainder of the energy arriving in the noise consisted of R<sub>g</sub> waves (28%), a large fraction of which may have a cultural origin. Hence, in contrast to the classic micro-seismic band of 5-20 sec, at shorter periods fundamental mode Rayleigh waves are the least significant component.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1785/0120090120","issn":"00371106","usgsCitation":"Koper, K., Seats, K., and Benz, H., 2010, On the composition of earth's short-period seismic noise field: Bulletin of the Seismological Society of America, v. 100, no. 2, p. 606-617, https://doi.org/10.1785/0120090120.","startPage":"606","endPage":"617","numberOfPages":"12","costCenters":[],"links":[{"id":215862,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120090120"},{"id":243694,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-03-15","publicationStatus":"PW","scienceBaseUri":"505a6dbfe4b0c8380cd752e0","contributors":{"authors":[{"text":"Koper, K.D.","contributorId":69798,"corporation":false,"usgs":true,"family":"Koper","given":"K.D.","email":"","affiliations":[],"preferred":false,"id":446653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seats, K.","contributorId":70258,"corporation":false,"usgs":true,"family":"Seats","given":"K.","affiliations":[],"preferred":false,"id":446654,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benz, H.","contributorId":61953,"corporation":false,"usgs":true,"family":"Benz","given":"H.","email":"","affiliations":[],"preferred":false,"id":446652,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034635,"text":"70034635 - 2010 - A late Miocene-early Pliocene chain of lakes fed by the Colorado River: Evidence from Sr, C, and O isotopes of the Bouse Formation and related units between Grand Canyon and the Gulf of California","interactions":[],"lastModifiedDate":"2021-12-03T15:31:17.791811","indexId":"70034635","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"A late Miocene-early Pliocene chain of lakes fed by the Colorado River: Evidence from Sr, C, and O isotopes of the Bouse Formation and related units between Grand Canyon and the Gulf of California","docAbstract":"<p><span>We report strontium isotopic results for the late Miocene Hualapai Limestone of the Lake Mead area (Arizona-Nevada) and the latest Miocene to early Pliocene Bouse Formation and related units of the lower Colorado River trough (Arizona-California-Nevada), together with parallel oxygen and carbon isotopic analyses of Bouse samples, to constrain the lake-overflow model for integration of the Colorado River. Sr isotopic analyses on the basal 1–5 cm of marl, in particular along a transect over a range of altitude in the lowest-altitude basin that contains freshwater, brackish, and marine fossils, document the&nbsp;</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr of first-arriving Bouse waters. Results reinforce the similarity between the&nbsp;</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr of Bouse Formation carbonates and present-day Colorado River water, and the systematic distinction of these values from Neogene marine Sr. Basal Bouse samples show that&nbsp;</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr decreased from 0.7111 to values in the range 0.7107–0.7109 during early basin filling.&nbsp;</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr values from a recently identified marl in the Las Vegas area are within the range of Bouse Sr ratios.&nbsp;</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr values from the Hualapai Limestone decrease upsection from 0.7195 to 0.7137, in the approach to a time soon after 6 Ma when Hualapai deposition ceased and the Colorado River became established through the Lake Mead area. Bouse Formation δ</span><sup>18</sup><span>O values range from –12.9‰ to +1.0‰ Vienna Pee Dee belemnite (VPDB), and δ</span><sup>13</sup><span>C between –6.5‰ and +3.4‰ VPDB. Negative δ</span><sup>18</sup><span>O values appear to require a continental origin for waters, and the trend to higher δ</span><sup>18</sup><span>O suggests evaporation in lake waters. Sr and stable isotopic results for sectioned barnacle shells and from bedding planes of the marine fish fossil&nbsp;</span><i>Colpichthys regis</i><span>&nbsp;demonstrate that these animals lived in saline freshwater, and that there is no evidence for incursions of marine water, either long-lived or brief in duration. Lack of correlation of Sr and O isotopic variations in the same samples also argue strongly against systematic replacement of Sr in Bouse carbonates after deposition. Our results reinforce the conclusion that the Bouse Formation was deposited in a descending series of basins connected by overflow of Colorado River water. The Hualapai Limestone records a separate and earlier lake that may have been progressively influenced by Colorado River water as the time of river integration approached.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B30186.1","issn":"00167606","usgsCitation":"Roskowski, J.A., Patchett, P., Spencer, J., Pearthree, P., Dettman, D.L., Faulds, J.E., and Reynolds, A.C., 2010, A late Miocene-early Pliocene chain of lakes fed by the Colorado River: Evidence from Sr, C, and O isotopes of the Bouse Formation and related units between Grand Canyon and the Gulf of California: Geological Society of America Bulletin, v. 122, no. 9-10, p. 1625-1636, https://doi.org/10.1130/B30186.1.","productDescription":"12 p.","startPage":"1625","endPage":"1636","numberOfPages":"12","costCenters":[],"links":[{"id":243571,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Arizona, Baja California, California, Nevada, Sonora","otherGeospatial":"Colorado River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.75195312499999,\n              31.38177878211098\n            ],\n            [\n              -113.99414062499999,\n              31.38177878211098\n            ],\n            [\n              -113.99414062499999,\n              35.96911507577482\n            ],\n            [\n              -115.75195312499999,\n              35.96911507577482\n            ],\n            [\n              -115.75195312499999,\n              31.38177878211098\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"122","issue":"9-10","noUsgsAuthors":false,"publicationDate":"2010-05-10","publicationStatus":"PW","scienceBaseUri":"5059e434e4b0c8380cd464c4","contributors":{"authors":[{"text":"Roskowski, J. A.","contributorId":95292,"corporation":false,"usgs":true,"family":"Roskowski","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":446789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patchett, P. J.","contributorId":55152,"corporation":false,"usgs":true,"family":"Patchett","given":"P. J.","affiliations":[],"preferred":false,"id":446785,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spencer, J.E.","contributorId":91542,"corporation":false,"usgs":true,"family":"Spencer","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":446788,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearthree, P. A.","contributorId":77236,"corporation":false,"usgs":false,"family":"Pearthree","given":"P. A.","affiliations":[],"preferred":false,"id":446786,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dettman, D. 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,{"id":70034636,"text":"70034636 - 2010 - Fine scale daily movements and habitat use of East Pacific green turtles at a shallow coastal lagoon in Baja California Sur, Mexico","interactions":[],"lastModifiedDate":"2017-05-17T09:25:51","indexId":"70034636","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2277,"text":"Journal of Experimental Marine Biology and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Fine scale daily movements and habitat use of East Pacific green turtles at a shallow coastal lagoon in Baja California Sur, Mexico","docAbstract":"<p>Green turtles spend most of their lives in coastal foraging areas where they face multiple anthropogenic impacts. Therefore, understanding their spatial use in this environment is a priority for conservation efforts. We studied the fine scale daily movements and habitat use of East Pacific green turtles (<i>Chelonia mydas</i>) at Laguna San Ignacio, a shallow coastal lagoon in Baja California Sur, Mexico where sea turtles are subject to high levels of gillnet bycatch and directed hunting. Six turtles ranging from 44.6 to 83.5&nbsp;cm in straight carapace length were tracked for short deployments (1 to 6 d) with GPS-VHF telemetry. Turtles were active throughout diurnal, nocturnal, and crepuscular periods. Although they moved greater total distances during daytime, their speed of travel and net displacement remained consistent throughout 24-h periods. A positive selection for areas of seagrass and moderate water depth (5 to 10&nbsp;m) was determined using Ivlev's electivity index, with neutral selection for shallow water (&lt;&nbsp;5&nbsp;m) and avoidance of deep water (&gt;&nbsp;10&nbsp;m). Turtles exhibited two distinct behavioral movement patterns: circular movements with high fidelity to the capture&ndash;release location and meandering movements with low fidelity to the capture&ndash;release location. Our results indicate that green turtles were active throughout the diel cycle while traveling large distances and traversing multiple habitats over short temporal scales.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jembe.2010.06.017","issn":"00220981","usgsCitation":"Senko, J., Koch, V., Megill, W.M., Carthy, R.R., Templeton, R.P., and Nichols, W.J., 2010, Fine scale daily movements and habitat use of East Pacific green turtles at a shallow coastal lagoon in Baja California Sur, Mexico: Journal of Experimental Marine Biology and Ecology, v. 391, no. 1-2, p. 92-100, https://doi.org/10.1016/j.jembe.2010.06.017.","productDescription":"9 p.","startPage":"92","endPage":"100","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-022304","costCenters":[{"id":198,"text":"Coop Res Unit 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