Populations of Pacific common eiders (Somateria mollissima v-nigrum) breeding in Alaska, USA, have declined markedly over the past 40 years. We studied survival of adult female Pacific common eiders using capture—recapture of nesting hens at 3 sites on the Yukon-Kuskokwim Delta (YKD), Alaska from 1994 to 2004. We used data consisting of 268 recapture events from 361 uniquely marked individuals to investigate temporal, geographic, and environmental variation in adult female survival. Our results suggest apparent annual survival of adult eiders from the YKD was high (0.892, SE = 0.022) and spatially and temporally invariant (σ2 = 0.005), a pattern consistent with other long-lived marine birds. Moreover, our results suggest adult survival may be functionally fixed for Pacific common eiders, and at the present, adult survival may be relatively unresponsive to environmental or management perturbations. Our data did not support hypothesized variation in survival relative to mortality factors such as predation on breeding grounds, physiologic costs of reproduction, and wintering conditions. Although changes in adult survival likely have a large potential effect on prospective population growth, our results suggest viable management actions aimed at increasing survival may be extremely limited.
","language":"English","publisher":"Wiley","doi":"10.2193/2005-776","issn":"00225","usgsCitation":"Wilson, H., Flint, P.L., Moran, C.L., and Powell, A., 2007, Survival of breeding Pacific common eiders on the Yukon-Kuskokwim Delta, Alaska: Journal of Wildlife Management, v. 71, no. 2, p. 403-410, https://doi.org/10.2193/2005-776.","productDescription":"8 p.","startPage":"403","endPage":"410","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":239599,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":212158,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2193/2005?776"}],"volume":"71","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"505ba2c6e4b08c986b31f956","contributors":{"authors":[{"text":"Wilson, H.M.","contributorId":37306,"corporation":false,"usgs":true,"family":"Wilson","given":"H.M.","email":"","affiliations":[],"preferred":false,"id":427886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":427887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moran, Christine L.","contributorId":6621,"corporation":false,"usgs":false,"family":"Moran","given":"Christine","email":"","middleInitial":"L.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":427885,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powell, A.N.","contributorId":66194,"corporation":false,"usgs":true,"family":"Powell","given":"A.N.","email":"","affiliations":[],"preferred":false,"id":427888,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70030722,"text":"70030722 - 2007 - Three new percid fishes (Percidae: Percina) from the Mobile Basin drainage of Alabama, Georgia, and Tennessee","interactions":[],"lastModifiedDate":"2021-06-16T16:12:18.024251","indexId":"70030722","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3814,"text":"Zootaxa","onlineIssn":"1175-5334","printIssn":"1175-5326","active":true,"publicationSubtype":{"id":10}},"title":"Three new percid fishes (Percidae: Percina) from the Mobile Basin drainage of Alabama, Georgia, and Tennessee","docAbstract":"Three new species of Percina are described from upland drainages of the Mobile Basin. Two of the three species are narrowly distributed: P. kusha, the Bridled Darter, is currently known only from the Conasauga River drainage in Georgia and Tennessee and Etowah River drainage in Georgia, both tributaries of the Coosa River, and P. sipsi, the Bankhead Darter, which is restricted to tributaries of Sipsey Fork of the Black Warrior River in northwestern Alabama. The third species, P. smithvanizi, the Muscadine Darter, occurs above the Fall Line in the Tallapoosa River drainage in eastern Alabama and western Georgia. In a molecular analysis using mitochondrial cytochrome b sequence data, P. kusha and P. smithvanizi were recovered as sister species, while Percina sipsi was recovered in a clade consisting of P. aurolineata (P. sciera + P. sipsi). Two of the three species, P. kusha and P. sipsi, are considered to be imperiled species and are in need of conservation actions to prevent their extinction. Description of these three darters increases the number of described species of Percina to 44. Sixteen are known to occur in the Mobile Basin, including nine that are endemic.
","language":"English","publisher":"Magnolia Press","doi":"10.11646/zootaxa.1549.1.1","usgsCitation":"Williams, J., Neely, D., Walsh, S., and Burkhead, N., 2007, Three new percid fishes (Percidae: Percina) from the Mobile Basin drainage of Alabama, Georgia, and Tennessee: Zootaxa, no. 1549, p. 1-28, https://doi.org/10.11646/zootaxa.1549.1.1.","productDescription":"28 p.","startPage":"1","endPage":"28","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":239609,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Georgia, Tennessee","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.04394531249999,\n 35.567980458012094\n ],\n [\n -90.4833984375,\n 34.70549341022544\n ],\n [\n -89.82421875,\n 34.77771580360469\n ],\n [\n -89.1650390625,\n 34.77771580360469\n ],\n [\n -88.1982421875,\n 34.77771580360469\n ],\n [\n -88.41796875,\n 30.372875188118016\n ],\n [\n -85.8251953125,\n 30.637912028341123\n ],\n [\n -81.123046875,\n 30.486550842588485\n ],\n [\n -80.8154296875,\n 32.32427558887655\n ],\n [\n -82.177734375,\n 33.90689555128866\n ],\n [\n -83.3642578125,\n 35.31736632923788\n ],\n [\n -81.0791015625,\n 36.66841891894786\n ],\n [\n -89.20898437499999,\n 36.421282443649496\n ],\n [\n -90.04394531249999,\n 35.567980458012094\n ]\n ]\n ]\n }\n }\n ]\n}","issue":"1549","edition":"1","noUsgsAuthors":false,"publicationDate":"2007-08-15","publicationStatus":"PW","scienceBaseUri":"505bb311e4b08c986b325b71","contributors":{"authors":[{"text":"Williams, J.D.","contributorId":74701,"corporation":false,"usgs":true,"family":"Williams","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":428392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neely, D.A.","contributorId":103083,"corporation":false,"usgs":true,"family":"Neely","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":428393,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, S. 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J.","affiliations":[],"preferred":false,"id":428391,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burkhead, N.M.","contributorId":34456,"corporation":false,"usgs":true,"family":"Burkhead","given":"N.M.","affiliations":[],"preferred":false,"id":428390,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70030724,"text":"70030724 - 2007 - Joint inversion of high-frequency surface waves with fundamental and higher modes","interactions":[],"lastModifiedDate":"2012-03-12T17:21:01","indexId":"70030724","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2165,"text":"Journal of Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Joint inversion of high-frequency surface waves with fundamental and higher modes","docAbstract":"Joint inversion of multimode surface waves for estimating the shear (S)-wave velocity has received much attention in recent years. In this paper, we first analyze sensitivity of phase velocities of multimodes of surface waves for a six-layer earth model, and then we invert surface-wave dispersion curves of the theoretical model and a real-world example. Sensitivity analysis shows that fundamental mode data are more sensitive to the S-wave velocities of shallow layers and are concentrated on a very narrow frequency band, while higher mode data are more sensitive to the parameters of relatively deeper layers and are distributed over a wider frequency band. These properties provide a foundation of using a multimode joint inversion to define S-wave velocities. Inversion results of both synthetic data and a real-world example demonstrate that joint inversion with the damped least-square method and the singular-value decomposition technique to invert high-frequency surface waves with fundamental and higher mode data simultaneously can effectively reduce the ambiguity and improve the accuracy of S-wave velocities. ?? 2007.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jappgeo.2007.02.004","issn":"09269851","usgsCitation":"Luo, Y., Xia, J., Liu, J., Liu, Q., and Xu, S., 2007, Joint inversion of high-frequency surface waves with fundamental and higher modes: Journal of Applied Geophysics, v. 62, no. 4, p. 375-384, https://doi.org/10.1016/j.jappgeo.2007.02.004.","startPage":"375","endPage":"384","numberOfPages":"10","costCenters":[],"links":[{"id":239084,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211737,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jappgeo.2007.02.004"}],"volume":"62","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4003e4b0c8380cd649d1","contributors":{"authors":[{"text":"Luo, Y.","contributorId":28417,"corporation":false,"usgs":true,"family":"Luo","given":"Y.","email":"","affiliations":[],"preferred":false,"id":428399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xia, J.","contributorId":63513,"corporation":false,"usgs":true,"family":"Xia","given":"J.","email":"","affiliations":[],"preferred":false,"id":428400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, J.","contributorId":23672,"corporation":false,"usgs":false,"family":"Liu","given":"J.","affiliations":[],"preferred":false,"id":428398,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Q.","contributorId":17827,"corporation":false,"usgs":true,"family":"Liu","given":"Q.","email":"","affiliations":[],"preferred":false,"id":428397,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xu, S.","contributorId":84954,"corporation":false,"usgs":true,"family":"Xu","given":"S.","email":"","affiliations":[],"preferred":false,"id":428401,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70030730,"text":"70030730 - 2007 - Population estimates of Hyla cinerea (Schneider) (Green Tree frog) in an urban environment","interactions":[],"lastModifiedDate":"2012-03-12T17:21:01","indexId":"70030730","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Population estimates of Hyla cinerea (Schneider) (Green Tree frog) in an urban environment","docAbstract":"Hyla cinerea (Green Treefrog) is a common wetlands species in the southeastern US. To better understand its population dynamics, we followed a relatively isolated population of Green Treefrogs from June 2004 through October 2004 at a federal office complex in Lafayette, LA. Weekly, Green Treefrogs were caught, measured, marked with VIE tags, and released. The data were used to estimate population size. The time frame was split into two periods: before and after August 17, 2004. Before August 17, 2004, the average estimated population size was 143, and after August 24, 2005, this value jumped to 446, an increase possibly due to tadpoles metamorphosing into adults.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Southeastern Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1656/1528-7092(2007)6[203:PEOHCS]2.0.CO;2","issn":"15287092","usgsCitation":"Pham, L., Boudreaux, S., Karhbet, S., Price, B., Ackleh, A., Carter, J., and Pal, N., 2007, Population estimates of Hyla cinerea (Schneider) (Green Tree frog) in an urban environment: Southeastern Naturalist, v. 6, no. 2, p. 203-216, https://doi.org/10.1656/1528-7092(2007)6[203:PEOHCS]2.0.CO;2.","startPage":"203","endPage":"216","numberOfPages":"14","costCenters":[],"links":[{"id":239186,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211821,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1656/1528-7092(2007)6[203:PEOHCS]2.0.CO;2"}],"volume":"6","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7d6de4b0c8380cd79f37","contributors":{"authors":[{"text":"Pham, L.","contributorId":104283,"corporation":false,"usgs":true,"family":"Pham","given":"L.","email":"","affiliations":[],"preferred":false,"id":428426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boudreaux, S.","contributorId":68106,"corporation":false,"usgs":true,"family":"Boudreaux","given":"S.","email":"","affiliations":[],"preferred":false,"id":428422,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karhbet, S.","contributorId":76941,"corporation":false,"usgs":true,"family":"Karhbet","given":"S.","email":"","affiliations":[],"preferred":false,"id":428423,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Price, B.","contributorId":15406,"corporation":false,"usgs":true,"family":"Price","given":"B.","email":"","affiliations":[],"preferred":false,"id":428421,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ackleh, A. S.","contributorId":14787,"corporation":false,"usgs":false,"family":"Ackleh","given":"A. S.","affiliations":[],"preferred":false,"id":428420,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carter, J. 0000-0003-0110-0284 carterj@usgs.gov","orcid":"https://orcid.org/0000-0003-0110-0284","contributorId":81839,"corporation":false,"usgs":true,"family":"Carter","given":"J.","email":"carterj@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":428425,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pal, N.","contributorId":79702,"corporation":false,"usgs":true,"family":"Pal","given":"N.","email":"","affiliations":[],"preferred":false,"id":428424,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70030743,"text":"70030743 - 2007 - A simulation-based approach for estimating premining water quality: Red Mountain Creek, Colorado","interactions":[],"lastModifiedDate":"2018-10-17T11:22:55","indexId":"70030743","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"A simulation-based approach for estimating premining water quality: Red Mountain Creek, Colorado","docAbstract":"Regulatory agencies are often charged with the task of setting site-specific numeric water quality standards for impaired streams. This task is particularly difficult for streams draining highly mineralized watersheds with past mining activity. Baseline water quality data obtained prior to mining are often non-existent and application of generic water quality standards developed for unmineralized watersheds is suspect given the geology of most watersheds affected by mining. Various approaches have been used to estimate premining conditions, but none of the existing approaches rigorously consider the physical and geochemical processes that ultimately determine instream water quality. An approach based on simulation modeling is therefore proposed herein. The approach utilizes synoptic data that provide spatially-detailed profiles of concentration, streamflow, and constituent load along the study reach. This field data set is used to calibrate a reactive stream transport model that considers the suite of physical and geochemical processes that affect constituent concentrations during instream transport. A key input to the model is the quality and quantity of waters entering the study reach. This input is based on chemical analyses available from synoptic sampling and observed increases in streamflow along the study reach. Given the calibrated model, additional simulations are conducted to estimate premining conditions. In these simulations, the chemistry of mining-affected sources is replaced with the chemistry of waters that are thought to be unaffected by mining (proximal, premining analogues). The resultant simulations provide estimates of premining water quality that reflect both the reduced loads that were present prior to mining and the processes that affect these loads as they are transported downstream. This simulation-based approach is demonstrated using data from Red Mountain Creek, Colorado, a small stream draining a heavily-mined watershed. Model application to the premining problem for Red Mountain Creek is based on limited field reconnaissance and chemical analyses; additional field work and analyses may be needed to develop definitive, quantitative estimates of premining water quality.","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2007.03.054","issn":"08832927","usgsCitation":"Runkel, R.L., Kimball, B.A., Walton-Day, K., and Verplanck, P.L., 2007, A simulation-based approach for estimating premining water quality: Red Mountain Creek, Colorado: Applied Geochemistry, v. 22, no. 9, p. 1899-1918, https://doi.org/10.1016/j.apgeochem.2007.03.054.","productDescription":"20 p.","startPage":"1899","endPage":"1918","numberOfPages":"20","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":238855,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211552,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2007.03.054"}],"country":"United States","state":"Colorado","otherGeospatial":"Red Mountain Creek","volume":"22","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e598e4b0c8380cd46e66","contributors":{"authors":[{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":428487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kimball, Briant A","contributorId":118888,"corporation":false,"usgs":true,"family":"Kimball","given":"Briant","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":428486,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walton-Day, Katherine 0000-0002-9146-6193 kwaltond@usgs.gov","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":1245,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","email":"kwaltond@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":428485,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":428488,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70030755,"text":"70030755 - 2007 - Distribution of breeding shorebirds on the Arctic Coastal Plain of Alaska","interactions":[],"lastModifiedDate":"2023-08-14T11:17:59.976899","indexId":"70030755","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":894,"text":"Arctic","active":true,"publicationSubtype":{"id":10}},"title":"Distribution of breeding shorebirds on the Arctic Coastal Plain of Alaska","docAbstract":"Available information on the distribution of breeding shorebirds across the Arctic Coastal Plain of Alaska is dated, fragmented, and limited in scope. Herein, we describe the distribution of 19 shorebird species from data gathered at 407 study plots between 1998 and 2004. This information was collected using a single-visit rapid area search technique during territory establishment and early incubation periods, a time when social displays and vocalizations make the birds highly detectable. We describe the presence or absence of each species, as well as overall numbers of species, providing a regional perspective on shorebird distribution. We compare and contrast our shorebird distribution maps to those of prior studies and describe prominent patterns of shorebird distribution. Our examination of how shorebird distribution and numbers of species varied both latitudinally and longitudinally across the Arctic Coastal Plain of Alaska indicated that most shorebird species occur more frequently in the Beaufort Coastal Plain ecoregion (i.e., closer to the coast) than in the Brooks Foothills ecoregion (i.e., farther inland). Furthermore, the occurrence of several species indicated substantial longitudinal directionality. Species richness at surveyed sites was highest in the western portion of the Beaufort Coastal Plain ecoregion. The broad-scale distribution information we present here is valuable for evaluating potential effects of human development and climate change on Arctic-breeding shorebird populations.
","language":"English","publisher":"Arctic Institute of North America","doi":"10.14430/arctic220","usgsCitation":"Johnson, J., Lanctot, R., Andres, B.A., Bart, J., Brown, S.C., Kendall, S.J., and Payer, D.C., 2007, Distribution of breeding shorebirds on the Arctic Coastal Plain of Alaska: Arctic, v. 60, no. 3, p. 277-293, https://doi.org/10.14430/arctic220.","productDescription":"17 p.","startPage":"277","endPage":"293","numberOfPages":"17","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":477179,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14430/arctic220","text":"Publisher Index Page"},{"id":238555,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic Coastal Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -160.76545815893368,\n 71.73753208468906\n ],\n [\n -162.3930009704475,\n 68.96864566870872\n ],\n [\n -142.67714191186246,\n 68.44977011466841\n ],\n [\n -142.2944316878697,\n 71.12036514995935\n ],\n [\n -160.76545815893368,\n 71.73753208468906\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"60","issue":"3","noUsgsAuthors":false,"publicationDate":"2009-12-10","publicationStatus":"PW","scienceBaseUri":"505a02c2e4b0c8380cd501bf","contributors":{"authors":[{"text":"Johnson, James A.","contributorId":84649,"corporation":false,"usgs":true,"family":"Johnson","given":"James A.","affiliations":[],"preferred":false,"id":428534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lanctot, Richard B.","contributorId":77879,"corporation":false,"usgs":false,"family":"Lanctot","given":"Richard B.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":428533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andres, Brad A.","contributorId":317983,"corporation":false,"usgs":false,"family":"Andres","given":"Brad","email":"","middleInitial":"A.","affiliations":[{"id":12428,"text":"U. 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Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":428536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bart, Jonathan jon_bart@usgs.gov","contributorId":57025,"corporation":false,"usgs":true,"family":"Bart","given":"Jonathan","email":"jon_bart@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":false,"id":428535,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Stephen C.","contributorId":38457,"corporation":false,"usgs":false,"family":"Brown","given":"Stephen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":428532,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kendall, Steven J.","contributorId":30911,"corporation":false,"usgs":false,"family":"Kendall","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":428537,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Payer, David C.","contributorId":7495,"corporation":false,"usgs":false,"family":"Payer","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":428531,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70030759,"text":"70030759 - 2007 - Paleoearthquakes on the southern San Andreas Fault, Wrightwood, California, 3000 to 1500 B.C.: A new method for evaluating paleoseismic evidence and earthquake horizons","interactions":[],"lastModifiedDate":"2023-07-31T12:11:21.803291","indexId":"70030759","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","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":"Paleoearthquakes on the southern San Andreas Fault, Wrightwood, California, 3000 to 1500 B.C.: A new method for evaluating paleoseismic evidence and earthquake horizons","docAbstract":"We present evidence of 11–14 earthquakes that occurred between 3000 and 1500 b.c. on the San Andreas fault at the Wrightwood paleoseismic site. Earthquake evidence is presented in a novel form in which we rank (high, moderate, poor, or low) the quality of all evidence of ground deformation, which are called “event indicators.” Event indicator quality reflects our confidence that the morphologic and sedimentologic evidence can be attributable to a ground-deforming earthquake and that the earthquake horizon is accurately identified by the morphology of the feature. In four vertical meters of section exposed in ten trenches, we document 316 event indicators attributable to 32 separate stratigraphic horizons. Each stratigraphic horizon is evaluated based on the sum of rank (Rs), maximum rank (Rm), average rank (Ra), number of observations (Obs), and sum of higher-quality event indicators (Rs>1). Of the 32 stratigraphic horizons, 14 contain 83% of the event indicators and are qualified based on the number and quality of event indicators; the remaining 18 do not have satisfactory evidence for further consideration. Eleven of the 14 stratigraphic horizons have sufficient number and quality of event indicators to be qualified as “probable” to “very likely” earthquakes; the remaining three stratigraphic horizons are associated with somewhat ambiguous features and are qualified as “possible” earthquakes. Although no single measurement defines an obvious threshold for designation as an earthquake horizon, Rs, Rm, and Rs>1 correlate best with the interpreted earthquake quality. Earthquake age distributions are determined from radiocarbon ages of peat samples using a Bayesian approach to layer dating. The average recurrence interval for the 10 consecutive and highest-quality earthquakes is 111 (93–131) years and individual intervals are ±50% of the average. With comparison with the previously published 14–15 earthquake record between a.d. 500 and present, we find no evidence to suggest significant variations in the average recurrence rate at Wrightwood during the past 5000 years.
[1] Chemical conditions were perturbed in an aquifer with an ambient pH of 5.9 and wastewater-derived adsorbed zinc (Zn) and phosphate (P) contamination by injecting a pulse of amended groundwater. The injected groundwater had low concentrations of dissolved Zn and P, a pH value of 4.5 resulting from equilibration with carbon dioxide gas, and added potassium bromide (KBr). Downgradient of the injection, breakthrough of nonreactive Br and total dissolved carbonate concentrations in excess of ambient values (excess TCO2) were accompanied by a decrease in pH values and over twentyfold increases in dissolved Zn concentrations above preinjection values. Peak concentrations of Br and excess TCO2 were followed by slow increases in pH values accompanied by significant increases in dissolved P above preinjection concentrations. The injected tracers mobilized a significant mass of wastewater-derived Zn. Reactive transport simulations incorporating surface complexation models for adsorption of Zn, P, hydrogen ions, and major cations onto the aquifer sediments, calibrated using laboratory experimental data, captured most of the important trends observed during the experiment. These include increases in Zn concentrations in response to the pH perturbation, perturbations in major cation concentrations, attenuation of the pH perturbation with transport distance, and increases in alkalinity with transport distance. Observed desorption of P in response to chemical perturbations was not predicted, possibly because of a disparity between the range of chemical conditions in the calibration data set and those encountered during the field experiment. Zinc and P desorbed rapidly in response to changing chemical conditions despite decades of contact with the sediments. Surface complexation models with relatively few parameters in the form of logK values and site concentrations show considerable promise for describing the influence of variable chemistry on the transport of adsorbing contaminants.
Lysimeter-percolate and well-hydrograph analyses were combined to evaluate recharge for the Masser Recharge Site (central Pennsylvania, USA). In humid regions, aquifer recharge through an unconfined low-porosity fractured-rock aquifer can cause large magnitude water-table fluctuations over short time scales. The unsaturated hydraulic characteristics of the subsurface porous media control the magnitude and timing of these fluctuations. Data from multiple sets of lysimeters at the site show a highly seasonal pattern of percolate and exhibit variability due to both installation factors and hydraulic property heterogeneity. Individual event analysis of well hydrograph data reveals the primary influences on water-table response, namely rainfall depth, rainfall intensity, and initial water-table depth. Spatial and seasonal variability in well response is also evident. A new approach for calculating recharge from continuous water-table elevation records using a master recession curve (MRC) is demonstrated. The recharge estimated by the MRC approach when assuming a constant specific yield is seasonal to a lesser degree than the recharge estimate resulting from the lysimeter analysis. Partial reconciliation of the two recharge estimates is achieved by considering a conceptual model of flow processes in the highly-heterogeneous underlying fractured porous medium.
From May 2001 to June 2002 Wildhaber et al. (2005) conducted monthly sampling of Lower Missouri River shovelnose sturgeon (Scaphirhynchus platorynchus) to develop methods for determination of sex and the reproductive stage of sturgeons in the field. Shovelnose sturgeon were collected from the Missouri River and ultrasonic and endoscopic imagery and blood and gonadal tissue samples were taken. The full set of data was used to develop monthly reproductive stage profiles for S. platorynchus that could be compared to data collected on pallid sturgeon (Scaphirhynchus albus). This paper presents a comprehensive reference set of images, sex steroids, and vitellogenin (VTG, an egg protein precursor) data for assessing shovelnose sturgeon sex and reproductive stage. This reference set includes ultrasonic, endoscopic, histologic, and internal images of male and female gonads of shovelnose sturgeon at each reproductive stage along with complementary data on average 17-β estradiol, 11-ketotestosterone, VTG, gonadosomatic index, and polarization index.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1439-0426.2007.00878.x","issn":"01758659","usgsCitation":"Wildhaber, M., Papoulias, D., DeLonay, A., Tillitt, D.E., Bryan, J., and Annis, M., 2007, Physical and hormonal examination of Missouri River shovelnose sturgeon reproductive stage: A reference guide: Journal of Applied Ichthyology, v. 23, no. 4, p. 382-401, https://doi.org/10.1111/j.1439-0426.2007.00878.x.","productDescription":"20 p.","startPage":"382","endPage":"401","numberOfPages":"20","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":477046,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1439-0426.2007.00878.x","text":"Publisher Index Page"},{"id":238925,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211608,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1439-0426.2007.00878.x"}],"country":"United States","state":"Missouri","otherGeospatial":"Missouri River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.07617187499999,\n 39.436192999314095\n ],\n [\n -93.18603515624999,\n 39.35553794109382\n ],\n [\n -92.9608154296875,\n 39.22799807055236\n ],\n [\n -92.9718017578125,\n 38.98503278695909\n ],\n [\n -92.74658203125,\n 38.91240739487225\n ],\n [\n -92.625732421875,\n 38.91668153637508\n ],\n [\n -92.6312255859375,\n 39.00637903337458\n ],\n [\n -92.845458984375,\n 39.104488809440475\n ],\n [\n -92.7630615234375,\n 39.279041894366785\n ],\n [\n -92.9937744140625,\n 39.41073305508498\n ],\n [\n -93.07617187499999,\n 39.436192999314095\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"23","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7a88e4b0c8380cd78f68","contributors":{"authors":[{"text":"Wildhaber, M. L. 0000-0002-6538-9083","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":62961,"corporation":false,"usgs":true,"family":"Wildhaber","given":"M. L.","affiliations":[],"preferred":false,"id":428793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Papoulias, D. M. 0000-0002-5106-2469","orcid":"https://orcid.org/0000-0002-5106-2469","contributorId":58759,"corporation":false,"usgs":true,"family":"Papoulias","given":"D. M.","affiliations":[],"preferred":false,"id":428792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeLonay, A. J. 0000-0002-3752-2799","orcid":"https://orcid.org/0000-0002-3752-2799","contributorId":34246,"corporation":false,"usgs":true,"family":"DeLonay","given":"A. J.","affiliations":[],"preferred":false,"id":428790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tillitt, D. E.","contributorId":83462,"corporation":false,"usgs":true,"family":"Tillitt","given":"D.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":428794,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bryan, J.L.","contributorId":15328,"corporation":false,"usgs":true,"family":"Bryan","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":428789,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Annis, M.L.","contributorId":53930,"corporation":false,"usgs":true,"family":"Annis","given":"M.L.","email":"","affiliations":[],"preferred":false,"id":428791,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70030817,"text":"70030817 - 2007 - Clean coal initiatives in Indiana","interactions":[],"lastModifiedDate":"2012-03-12T17:21:03","indexId":"70030817","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2039,"text":"International Journal of Energy Sector Management","active":true,"publicationSubtype":{"id":10}},"title":"Clean coal initiatives in Indiana","docAbstract":"Purpose - Indiana is listed among the top ten coal states in the USA and annually mines about 35 million short tons (million tons) of coal from the vast reserves of the US Midwest Illinois Coal Basin. The implementation and commercialization of clean coal technologies is important to the economy of the state and has a significant role in the state's energy plan for increasing the use of the state's natural resources. Coal is a substantial Indiana energy resource and also has stable and relatively low costs, compared with the increasing costs of other major fuels. This indigenous energy source enables the promotion of energy independence. The purpose of this paper is to outline the significance of clean coal projects for achieving this objective. Design/methodology/approach - The paper outlines the clean coal initiatives being taken in Indiana and the research carried out at the Indiana Center for Coal Technology Research. Findings - Clean coal power generation and coal for transportation fuels (coal-to-liquids - CTL) are two major topics being investigated in Indiana. Coking coal, data compilation of the bituminous coal qualities within the Indiana coal beds, reducing dependence on coal imports, and provision of an emissions free environment are important topics to state legislators. Originality/value - Lessons learnt from these projects will be of value to other states and countries.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Energy Sector Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1108/17506220710738623","issn":"17506220","usgsCitation":"Bowen, B., Irwin, M., Sparrow, F., Mastalerz, M., Yu, Z., and Kramer, R., 2007, Clean coal initiatives in Indiana: International Journal of Energy Sector Management, v. 1, no. 1, p. 96-108, https://doi.org/10.1108/17506220710738623.","startPage":"96","endPage":"108","numberOfPages":"13","costCenters":[],"links":[{"id":211662,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1108/17506220710738623"},{"id":238994,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f63fe4b0c8380cd4c633","contributors":{"authors":[{"text":"Bowen, B.H.","contributorId":82920,"corporation":false,"usgs":true,"family":"Bowen","given":"B.H.","email":"","affiliations":[],"preferred":false,"id":428820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irwin, M.W.","contributorId":49595,"corporation":false,"usgs":true,"family":"Irwin","given":"M.W.","email":"","affiliations":[],"preferred":false,"id":428817,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sparrow, F.T.","contributorId":13430,"corporation":false,"usgs":true,"family":"Sparrow","given":"F.T.","email":"","affiliations":[],"preferred":false,"id":428815,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mastalerz, Maria","contributorId":78065,"corporation":false,"usgs":true,"family":"Mastalerz","given":"Maria","affiliations":[],"preferred":false,"id":428819,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yu, Z.","contributorId":32696,"corporation":false,"usgs":true,"family":"Yu","given":"Z.","email":"","affiliations":[],"preferred":false,"id":428816,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kramer, R.A.","contributorId":60435,"corporation":false,"usgs":true,"family":"Kramer","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":428818,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70030829,"text":"70030829 - 2007 - Structure and composition of a watershed-scale sediment information network","interactions":[],"lastModifiedDate":"2012-03-12T17:21:15","indexId":"70030829","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2072,"text":"International Journal of Sediment Research","active":true,"publicationSubtype":{"id":10}},"title":"Structure and composition of a watershed-scale sediment information network","docAbstract":"A 'Watershed-Scale Sediment Information Network' (WaSSIN), designed to complement UNESCO's International Sedimentation Initiative, was endorsed as an initial project by the World Association for Sedimentation and Erosion Research. WaSSIN is to address global fluvial-sediment information needs through a network approach based on consistent protocols for the collection, analysis, and storage of fluvial-sediment and ancillary information at smaller spatial scales than those of the International Sedimentation Initiative. As a second step of implementation, it is proposed herein that the WaSSIN have a general structure of two components, (1) monitoring and data acquisition and (2) research. Monitoring is to be conducted in small watersheds, each of which has an established database for discharge of water and suspended sediment and possibly for bed load, bed material, and bed topography. Ideally, documented protocols have been used for collecting, analyzing, storing, and sharing the derivative data. The research component is to continue the collection and interpretation of data, to compare those data among candidate watersheds, and to determine gradients of fluxes and processes among the selected watersheds. To define gradients and evaluate processes, the initial watersheds will have several common attributes. Watersheds of the first group will be: (1) six to ten in number, (2) less than 1000 km2 in area, (3) generally in mid-latitudes of continents, and (4) of semiarid climate. Potential candidate watersheds presently include the Weany Creek Basin, northeastern Australia, the Zhi Fanggou catchment, northern China, the Eshtemoa Watershed, southern Israel, the Metsemotlhaba River Basin, Botswana, the Aiuaba Experimental Basin, Brazil, and the Walnut Gulch Experimental Watershed, southwestern United States.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Sediment Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"10016279","usgsCitation":"Osterkamp, W.R., Gray, J.R., Laronne, J., and Martin, J., 2007, Structure and composition of a watershed-scale sediment information network: International Journal of Sediment Research, v. 22, no. 3, p. 238-246.","startPage":"238","endPage":"246","numberOfPages":"9","costCenters":[],"links":[{"id":238666,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9c0de4b08c986b31d24a","contributors":{"authors":[{"text":"Osterkamp, W. R.","contributorId":46044,"corporation":false,"usgs":true,"family":"Osterkamp","given":"W.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":428865,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, J. R.","contributorId":63372,"corporation":false,"usgs":true,"family":"Gray","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":428867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laronne, J.B.","contributorId":24988,"corporation":false,"usgs":true,"family":"Laronne","given":"J.B.","affiliations":[],"preferred":false,"id":428864,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, J.R.","contributorId":48233,"corporation":false,"usgs":true,"family":"Martin","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":428866,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70030833,"text":"70030833 - 2007 - Improving GPR image resolution in lossy ground using dispersive migration","interactions":[],"lastModifiedDate":"2012-03-12T17:21:19","indexId":"70030833","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Improving GPR image resolution in lossy ground using dispersive migration","docAbstract":"As a compact wave packet travels through a dispersive medium, it becomes dilated and distorted. As a result, ground-penetrating radar (GPR) surveys over conductive and/or lossy soils often result in poor image resolution. A dispersive migration method is presented that combines an inverse dispersion filter with frequency-domain migration. The method requires a fully characterized GPR system including the antenna response, which is a function of the local soil properties for ground-coupled antennas. The GPR system response spectrum is used to stabilize the inverse dispersion filter. Dispersive migration restores attenuated spectral components when the signal-to-noise ratio is adequate. Applying the algorithm to simulated data shows that the improved spatial resolution is significant when data are acquired with a GPR system having 120 dB or more of dynamic range, and when the medium has a loss tangent of 0.3 or more. Results also show that dispersive migration provides no significant advantage over conventional migration when the loss tangent is less than 0.3, or when using a GPR system with a small dynamic range. ?? 2007 IEEE.","largerWorkTitle":"IEEE Transactions on Geoscience and Remote Sensing","language":"English","doi":"10.1109/TGRS.2006.888933","issn":"01962892","usgsCitation":"Oden, C., Powers, M., Wright, D., and Olhoeft, G., 2007, Improving GPR image resolution in lossy ground using dispersive migration, in IEEE Transactions on Geoscience and Remote Sensing, v. 45, no. 8, p. 2492-2499, https://doi.org/10.1109/TGRS.2006.888933.","startPage":"2492","endPage":"2499","numberOfPages":"8","costCenters":[],"links":[{"id":211439,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/TGRS.2006.888933"},{"id":238730,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a396de4b0c8380cd61907","contributors":{"authors":[{"text":"Oden, C.P.","contributorId":13413,"corporation":false,"usgs":true,"family":"Oden","given":"C.P.","email":"","affiliations":[],"preferred":false,"id":428879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powers, M.H.","contributorId":40352,"corporation":false,"usgs":true,"family":"Powers","given":"M.H.","email":"","affiliations":[],"preferred":false,"id":428880,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, D.L.","contributorId":88758,"corporation":false,"usgs":true,"family":"Wright","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":428881,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olhoeft, G.R.","contributorId":10405,"corporation":false,"usgs":true,"family":"Olhoeft","given":"G.R.","email":"","affiliations":[],"preferred":false,"id":428878,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70030843,"text":"70030843 - 2007 - A simple model for calculating tsunami flow speed from tsunami deposits","interactions":[],"lastModifiedDate":"2023-07-27T12:14:16.160085","indexId":"70030843","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3368,"text":"Sedimentary Geology","active":true,"publicationSubtype":{"id":10}},"title":"A simple model for calculating tsunami flow speed from tsunami deposits","docAbstract":"This paper presents a simple model for tsunami sedimentation that can be applied to calculate tsunami flow speed from the thickness and grain size of a tsunami deposit (the inverse problem). For sandy tsunami deposits where grain size and thickness vary gradually in the direction of transport, tsunami sediment transport is modeled as a steady, spatially uniform process. The amount of sediment in suspension is assumed to be in equilibrium with the steady portion of the long period, slowing varying uprush portion of the tsunami. Spatial flow deceleration is assumed to be small and not to contribute significantly to the tsunami deposit. Tsunami deposits are formed from sediment settling from the water column when flow speeds on land go to zero everywhere at the time of maximum tsunami inundation. There is little erosion of the deposit by return flow because it is a slow flow and is concentrated in topographic lows. Variations in grain size of the deposit are found to have more effect on calculated tsunami flow speed than deposit thickness. The model is tested using field data collected at Arop, Papua New Guinea soon after the 1998 tsunami. Speed estimates of 14 m/s at 200 m inland from the shoreline compare favorably with those from a 1-D inundation model and from application of Bernoulli's principle to water levels on buildings left standing after the tsunami. As evidence that the model is applicable to some sandy tsunami deposits, the model reproduces the observed normal grading and vertical variation in sorting and skewness of a deposit formed by the 1998 tsunami.
We examined the utility of δ18O2 measurements in estimating gross primary production (P), community respiration (R), and net metabolism (P : R) through diel cycles in a productive agricultural stream located in the midwestern U.S.A. Large diel swings in O2(±200 µmol L−1) were accompanied by large diel variation in δ18O2 (±10‰). Simultaneous gas transfer measurements and laboratory‐derived isotopic fractionation factors for O2during respiration (αr) were used in conjunction with the diel monitoring of O2 and δ18O2to calculate P, R, and P :R using three independent isotope‐based methods. These estimates were compared to each other and against the traditional “open‐channel diel O2‐change” technique that lacked δ18O2. A principal advantage of the δ18O2 measurements was quantification of diel variation in R, which increased by up to 30% during the day, and the diel pattern in R was variable and not necessarily predictable from assumed temperature effects on R. The P, R, and P :R estimates calculated using the isotope‐based approaches showed high sensitivity to the assumed system fractionation factor (αr). The optimum modeled ar values (0.986‐0.989) were roughly consistent with the laboratory‐derived values, but larger (i.e., less fractionation) than αr values typically reported for enzyme‐limited respiration in open water environments. Because of large diel variation in O2, P :R could not be estimated by directly applying the typical steady‐state solution to the O2 and 18O‐O2 mass balance equations in the absence of gas transfer data. Instead, our results indicate that a modified steady‐state solution (the daily mean value approach) could be used with time‐averaged O2 and δ18O2 measurements to calculate P :R independent of gas transfer. This approach was applicable under specifically defined, net heterotrophic conditions. The diel cycle of increasing daytime R and decreasing nighttime R was only partially explained by temperature variation, but could be consistent with the diel production/consumption of labile dissolved organic carbon from photosynthesis.
","language":"English","publisher":"ASLO","doi":"10.4319/lo.2007.52.4.1439","issn":"00243590","usgsCitation":"Tobias, C., Bohlke, J.K., and Harvey, J.W., 2007, The oxygen-18 isotope approach for measuring aquatic metabolism in high-productivity waters: Limnology and Oceanography, v. 52, no. 4, p. 1439-1453, https://doi.org/10.4319/lo.2007.52.4.1439.","productDescription":"15 p.","startPage":"1439","endPage":"1453","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":477139,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4319/lo.2007.52.4.1439","text":"Publisher Index Page"},{"id":238996,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"4","noUsgsAuthors":false,"publicationDate":"2007-07-31","publicationStatus":"PW","scienceBaseUri":"505bae7ae4b08c986b324114","contributors":{"authors":[{"text":"Tobias, Craig R.","contributorId":23410,"corporation":false,"usgs":false,"family":"Tobias","given":"Craig R.","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":428934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, John Karl 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":127841,"corporation":false,"usgs":true,"family":"Bohlke","given":"John","email":"jkbohlke@usgs.gov","middleInitial":"Karl","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":428936,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":428935,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70030891,"text":"70030891 - 2007 - Isotopic analysis of N and O in nitrite and nitrate by sequential selective bacterial reduction to N2O","interactions":[],"lastModifiedDate":"2018-10-17T08:54:35","indexId":"70030891","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":761,"text":"Analytical Chemistry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Isotopic analysis of N and O in nitrite and nitrate by sequential selective bacterial reduction to N2O","title":"Isotopic analysis of N and O in nitrite and nitrate by sequential selective bacterial reduction to N2O","docAbstract":"Nitrite is an important intermediate species in the biogeochemical cycling of nitrogen, but its role in natural aquatic systems is poorly understood. Isotopic data can be used to study the sources and transformations of NO2- in the environment, but methods for independent isotopic analyses of NO2- in the presence of other N species are still new and evolving. This study demonstrates that isotopic analyses of N and O in NO2- can be done by treating whole freshwater or saltwater samples with the denitrifying bacterium Stenotrophomonas nitritireducens, which selectively reduces NO2- to N2O for isotope ratio mass spectrometry. When calibrated with solutions containing NO2- with known isotopic compositions determined independently, reproducible δ15N and δ18O values were obtained at both natural-abundance levels (±0.2−0.5‰ for δ15N and ±0.4−1.0‰ for δ18O) and moderately enriched 15N tracer levels (±20−50‰ for δ15N near 5000‰) for 5−20 nmol of NO2- (1−20 μmol/L in 1−5 mL aliquots). This method is highly selective for NO2-and was used for mixed samples containing both NO2- and NO3- with little or no measurable cross-contamination. In addition, mixed samples that were analyzed with S. nitritireducens were treated subsequently with Pseudomonas aureofaciens to reduce the NO3- in the absence of NO2-, providing isotopic analyses of NO2- and NO3- separately in the same aliquot. Sequential bacterial reduction methods like this one should be useful for a variety of isotopic studies aimed at understanding nitrogen cycling in aquatic environments. A test of these methods in an agricultural watershed in Indiana provides isotopic evidence for both nitrification and denitrification as sources of NO2- in a small stream.
","language":"English","publisher":"ACS","doi":"10.1021/ac070176k","issn":"00032700","usgsCitation":"Bohlke, J.K., Smith, R.L., and Hannon, J.E., 2007, Isotopic analysis of N and O in nitrite and nitrate by sequential selective bacterial reduction to N2O: Analytical Chemistry, v. 79, no. 15, p. 5888-5895, https://doi.org/10.1021/ac070176k.","productDescription":"8 p.","startPage":"5888","endPage":"5895","numberOfPages":"8","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":238563,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211294,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/ac070176k"}],"country":"United States","state":"Indiana","volume":"79","issue":"15","noUsgsAuthors":false,"publicationDate":"2007-06-21","publicationStatus":"PW","scienceBaseUri":"505a3f93e4b0c8380cd64613","contributors":{"authors":[{"text":"Bohlke, John Karl 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":127841,"corporation":false,"usgs":true,"family":"Bohlke","given":"John","email":"jkbohlke@usgs.gov","middleInitial":"Karl","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":429110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Richard L. 0000-0002-3829-0125 rlsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-3829-0125","contributorId":1592,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"rlsmith@usgs.gov","middleInitial":"L.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":429109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hannon, Janet E. jehannon@usgs.gov","contributorId":3177,"corporation":false,"usgs":true,"family":"Hannon","given":"Janet","email":"jehannon@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":429108,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70030893,"text":"70030893 - 2007 - Water use regimes: Characterizing direct human interaction with hydrologic systems","interactions":[],"lastModifiedDate":"2018-04-03T11:40:13","indexId":"70030893","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","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":"Water use regimes: Characterizing direct human interaction with hydrologic systems","docAbstract":"The sustainability of human water use practices is a rapidly growing concern in the United States and around the world. To better characterize direct human interaction with hydrologic systems (stream basins and aquifers), we introduce the concept of the water use regime. Unlike scalar indicators of anthropogenic hydrologic stress in the literature, the water use regime is a two‐dimensional, vector indicator that can be depicted on simple x‐y plots of normalized human withdrawals (hout) versus normalized human return flows (hin). Four end‐member regimes, natural‐flow‐dominated (undeveloped), human‐flow‐dominated (churned), withdrawal‐dominated (depleted), and return‐flow‐dominated (surcharged), are defined in relation to limiting values of hout and hin. For illustration, the water use regimes of 19 diverse hydrologic systems are plotted and interpreted. Several of these systems, including the Yellow River Basin, China, and the California Central Valley Aquifer, are shown to approach particular end‐member regimes. Spatial and temporal regime variations, both seasonal and long‐term, are depicted. Practical issues of data availability and regime uncertainty are addressed in relation to the statistical properties of the ratio estimators hout and hin. The water use regime is shown to be a useful tool for comparative water resources assessment and for describing both historic and alternative future pathways of water resource development at a range of scales.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2006WR005062","usgsCitation":"Weiskel, P.K., Vogel, R.M., Steeves, P.A., Zarriello, P.J., DeSimone, L.A., and Ries, K., 2007, Water use regimes: Characterizing direct human interaction with hydrologic systems: Water Resources Research, v. 43, no. 4, Article W04402; 11 p., https://doi.org/10.1029/2006WR005062.","productDescription":"Article W04402; 11 p.","costCenters":[],"links":[{"id":477189,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2006wr005062","text":"Publisher Index Page"},{"id":238597,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"4","noUsgsAuthors":false,"publicationDate":"2007-04-04","publicationStatus":"PW","scienceBaseUri":"505bccbfe4b08c986b32dcdc","contributors":{"authors":[{"text":"Weiskel, Peter K. pweiskel@usgs.gov","contributorId":1099,"corporation":false,"usgs":true,"family":"Weiskel","given":"Peter","email":"pweiskel@usgs.gov","middleInitial":"K.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":429116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vogel, Richard M.","contributorId":66811,"corporation":false,"usgs":true,"family":"Vogel","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":429114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steeves, Peter A. 0000-0001-7558-9719 psteeves@usgs.gov","orcid":"https://orcid.org/0000-0001-7558-9719","contributorId":1873,"corporation":false,"usgs":true,"family":"Steeves","given":"Peter","email":"psteeves@usgs.gov","middleInitial":"A.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":429115,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zarriello, Philip J.","contributorId":21588,"corporation":false,"usgs":false,"family":"Zarriello","given":"Philip","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":429113,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeSimone, Leslie A. 0000-0003-0774-9607 ldesimon@usgs.gov","orcid":"https://orcid.org/0000-0003-0774-9607","contributorId":195635,"corporation":false,"usgs":true,"family":"DeSimone","given":"Leslie","email":"ldesimon@usgs.gov","middleInitial":"A.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":429117,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ries, Kernell G. III kries@usgs.gov","contributorId":1913,"corporation":false,"usgs":true,"family":"Ries","given":"Kernell G.","suffix":"III","email":"kries@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":429112,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70030899,"text":"70030899 - 2007 - Landscape factors influencing the spatial distribution and abundance of mosquito vector Culex quinquefasciatus (Diptera: Culicidae) in a mixed residential-agricultural community in Hawai'i","interactions":[],"lastModifiedDate":"2012-03-12T17:21:15","indexId":"70030899","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2385,"text":"Journal of Medical Entomology","active":true,"publicationSubtype":{"id":10}},"title":"Landscape factors influencing the spatial distribution and abundance of mosquito vector Culex quinquefasciatus (Diptera: Culicidae) in a mixed residential-agricultural community in Hawai'i","docAbstract":"Mosquito-borne avian diseases, principally avian malaria (Plasmodium relictum Grassi and Feletti) and avian pox (Avipoxvirus sp.) have been implicated as the key limiting factor associated with recent declines of endemic avifauna in the Hawaiian Island archipelago. We present data on the relative abundance, infection status, and spatial distribution of the primary mosquito vector Culex quinquefasciatus Say (Diptera: Culicidae) across a mixed, residential-agricultural community adjacent to Hawai'i Volcanoes National Park on Hawai'i Island. We modeled the effect of agriculture and forest fragmentation in determining relative abundance of adult Cx. quinquefasciatus in Volcano Village, and we implement our statistical model in a geographic information system to generate a probability of mosquito capture prediction surface for the study area. Our model was based on biweekly captures of adult mosquitoes from 20 locations within Volcano Village from October 2001 to April 2003. We used mixed effects logistic regression to model the probability of capturing a mosquito, and we developed a set of 17 competing models a priori to specifically evaluate the effect of agriculture and fragmentation (i.e., residential landscapes) at two spatial scales. In total, 2,126 mosquitoes were captured in CO 2-baited traps with an average probability of 0.27 (SE = 0.10) of capturing one or more mosquitoes per trap night. Twelve percent of mosquitoes captured were infected with P. relictum. Our data indicate that agricultural lands and forest fragmentation significantly increase the probability of mosquito capture. The prediction surface identified areas along the Hawai'i Volcanoes National Park boundary that may have high relative abundance of the vector. Our data document the potential of avian malaria transmission in residential-agricultural landscapes and support the need for vector management that extends beyond reserve boundaries and considers a reserve's spatial position in a highly heterogeneous landscape.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Medical Entomology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1603/0022-2585(2007)44[861:LFITSD]2.0.CO;2","issn":"00222585","usgsCitation":"Reiter, M., and Lapointe, D., 2007, Landscape factors influencing the spatial distribution and abundance of mosquito vector Culex quinquefasciatus (Diptera: Culicidae) in a mixed residential-agricultural community in Hawai'i: Journal of Medical Entomology, v. 44, no. 5, p. 861-868, https://doi.org/10.1603/0022-2585(2007)44[861:LFITSD]2.0.CO;2.","startPage":"861","endPage":"868","numberOfPages":"8","costCenters":[],"links":[{"id":211416,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1603/0022-2585(2007)44[861:LFITSD]2.0.CO;2"},{"id":238701,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a440fe4b0c8380cd66809","contributors":{"authors":[{"text":"Reiter, M.E.","contributorId":80065,"corporation":false,"usgs":true,"family":"Reiter","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":429136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lapointe, D.A.","contributorId":69691,"corporation":false,"usgs":true,"family":"Lapointe","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":429135,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70030900,"text":"70030900 - 2007 - How was the Triassic Songpan-Ganzi basin filled? A provenance study","interactions":[],"lastModifiedDate":"2023-07-28T11:16:34.754392","indexId":"70030900","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"How was the Triassic Songpan-Ganzi basin filled? A provenance study","docAbstract":"The Triassic Songpan-Ganzi complex comprises >200,000 km2 of 5-15 km thick turbiditic sediments. Although surrounded by several magmatic and orogenic belts, the Triassic high- and ultrahigh-pressure Qinling-Tongbai-Hong'an-Dabie (QTHD) orogen, located several hundred kilometers to the east, was proposed as its major source. Middle to Late Triassic samples from the northern and southern Songpan-Ganzi complex, studied using detrital white mica 40Ar/39Ar ages, Si-in-white mica content, and detrital zircon U/Pb ages, suggest that the northern Songpan-Ganzi deposystem obtained detritus from the north: the north China block, east Kunlun, northern Qaidam, Qilian, and western Qinling; the southern Songpan-Ganzi deposystem was supplied from the northeasterly located Paleozoic QTHD area throughout the Ladinian and received detritus from the Triassic Hong'an-Dabie orogen during the Carnian, indicative of exhumation of the orogen at that time. The QTHD orogen fed the Norian samples in the southeastern southern Songpan-Ganzi deposystem, signifying long drainage channels along the western margin of the south China block. An additional supply from the Emeishan magmatic province and/or the Yidun arc is suggested by the paucity of white mica in the southern Songpan-Ganzi deposystem. Mica ages of Rhaetian sediments from the northwestern Sichuan basin best correlate with those of the Triassic QTHD orogen. Our Si-in-white mica data demonstrate that the high- and ultrahigh-pressure rocks of the Hong'an-Dabie Shan were not exposed in the Middle to Late Triassic.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2006TC002078","issn":"02787407","usgsCitation":"Enkelmann, E., Weislogel, A., Ratschbacher, L., Eide, E., Renno, A., and Wooden, J., 2007, How was the Triassic Songpan-Ganzi basin filled? A provenance study: Tectonics, v. 26, no. 4, TC4007, 24 p., https://doi.org/10.1029/2006TC002078.","productDescription":"TC4007, 24 p.","costCenters":[],"links":[{"id":477078,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2006tc002078","text":"Publisher Index Page"},{"id":238702,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"4","noUsgsAuthors":false,"publicationDate":"2007-07-20","publicationStatus":"PW","scienceBaseUri":"505a326be4b0c8380cd5e7b5","contributors":{"authors":[{"text":"Enkelmann, E.","contributorId":27256,"corporation":false,"usgs":true,"family":"Enkelmann","given":"E.","affiliations":[],"preferred":false,"id":429139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weislogel, A.","contributorId":7081,"corporation":false,"usgs":true,"family":"Weislogel","given":"A.","email":"","affiliations":[],"preferred":false,"id":429137,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ratschbacher, L.","contributorId":49154,"corporation":false,"usgs":true,"family":"Ratschbacher","given":"L.","affiliations":[],"preferred":false,"id":429140,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eide, E.","contributorId":60848,"corporation":false,"usgs":true,"family":"Eide","given":"E.","email":"","affiliations":[],"preferred":false,"id":429141,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Renno, A.","contributorId":79287,"corporation":false,"usgs":true,"family":"Renno","given":"A.","email":"","affiliations":[],"preferred":false,"id":429142,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wooden, J.","contributorId":21736,"corporation":false,"usgs":true,"family":"Wooden","given":"J.","affiliations":[],"preferred":false,"id":429138,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}