{"pageNumber":"875","pageRowStart":"21850","pageSize":"25","recordCount":46733,"records":[{"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":"<div id=\"16124468\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>We present evidence of 11–14 earthquakes that occurred between 3000 and 1500<span>&nbsp;</span><span class=\"small-caps\">b.c.</span><span>&nbsp;</span>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<sub>&gt;1</sub>). 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<sub>&gt;1</sub><span>&nbsp;</span>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<span>&nbsp;</span><span class=\"small-caps\">a.d.</span><span>&nbsp;</span>500 and present, we find no evidence to suggest significant variations in the average recurrence rate at Wrightwood during the past 5000 years.</p></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120060137","issn":"00371106","usgsCitation":"Scharer, K., Weldon, R., Fumal, T.E., and Biasi, G., 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: Bulletin of the Seismological Society of America, v. 97, no. 4, p. 1054-1093, https://doi.org/10.1785/0120060137.","productDescription":"40 p.","startPage":"1054","endPage":"1093","numberOfPages":"40","costCenters":[],"links":[{"id":238627,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.51003975872379,\n              34.473495994688804\n            ],\n            [\n              -119.51003975872379,\n              32.77276128128182\n            ],\n            [\n              -115.9080695691091,\n              32.77276128128182\n            ],\n            [\n              -115.9080695691091,\n              34.473495994688804\n            ],\n            [\n              -119.51003975872379,\n              34.473495994688804\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"97","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a73d4e4b0c8380cd7728e","contributors":{"authors":[{"text":"Scharer, K.M.","contributorId":62674,"corporation":false,"usgs":true,"family":"Scharer","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":428546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weldon, R.J. II","contributorId":37088,"corporation":false,"usgs":true,"family":"Weldon","given":"R.J.","suffix":"II","email":"","affiliations":[],"preferred":false,"id":428544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fumal, T. E.","contributorId":25942,"corporation":false,"usgs":true,"family":"Fumal","given":"T.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":428543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Biasi, G. P. 0000-0003-0940-5488","orcid":"https://orcid.org/0000-0003-0940-5488","contributorId":41180,"corporation":false,"usgs":false,"family":"Biasi","given":"G. P.","affiliations":[],"preferred":false,"id":428545,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70030760,"text":"70030760 - 2007 - Spectral element modelling of fault-plane reflections arising from fluid pressure distributions","interactions":[],"lastModifiedDate":"2012-03-12T17:21:20","indexId":"70030760","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Spectral element modelling of fault-plane reflections arising from fluid pressure distributions","docAbstract":"The presence of fault-plane reflections in seismic images, besides indicating the locations of faults, offers a possible source of information on the properties of these poorly understood zones. To better understand the physical mechanism giving rise to fault-plane reflections in compacting sedimentary basins, we numerically model the full elastic wavefield via the spectral element method (SEM) for several different fault models. Using well log data from the South Eugene Island field, offshore Louisiana, we derive empirical relationships between the elastic parameters (e.g. P-wave velocity and density) and the effective-stress along both normal compaction and unloading paths. These empirical relationships guide the numerical modelling and allow the investigation of how differences in fluid pressure modify the elastic wavefield. We choose to simulate the elastic wave equation via SEM since irregular model geometries can be accommodated and slip boundary conditions at an interface, such as a fault or fracture, are implemented naturally. The method we employ for including a slip interface retains the desirable qualities of SEM in that it is explicit in time and, therefore, does not require the inversion of a large matrix. We performa complete numerical study by forward modelling seismic shot gathers over a faulted earth model using SEM followed by seismic processing of the simulated data. With this procedure, we construct post-stack time-migrated images of the kind that are routinely interpreted in the seismic exploration industry. We dip filter the seismic images to highlight the fault-plane reflections prior to making amplitude maps along the fault plane. With these amplitude maps, we compare the reflectivity from the different fault models to diagnose which physical mechanism contributes most to observed fault reflectivity. To lend physical meaning to the properties of a locally weak fault zone characterized as a slip interface, we propose an equivalent-layer model under the assumption of weak scattering. This allows us to use the empirical relationships between density, velocity and effective stress from the South Eugene Island field to relate a slip interface to an amount of excess pore-pressure in a fault zone. ?? 2007 The Authors Journal compilation ?? 2007 RAS.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Journal International","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-246X.2007.03437.x","issn":"0956540X","usgsCitation":"Haney, M., Snieder, R., Ampuero, J., and Hofmann, R., 2007, Spectral element modelling of fault-plane reflections arising from fluid pressure distributions: Geophysical Journal International, v. 170, no. 2, p. 933-951, https://doi.org/10.1111/j.1365-246X.2007.03437.x.","startPage":"933","endPage":"951","numberOfPages":"19","costCenters":[],"links":[{"id":476998,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-246x.2007.03437.x","text":"Publisher Index Page"},{"id":211352,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-246X.2007.03437.x"},{"id":238628,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"170","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b953ce4b08c986b31ae07","contributors":{"authors":[{"text":"Haney, M.","contributorId":38264,"corporation":false,"usgs":true,"family":"Haney","given":"M.","email":"","affiliations":[],"preferred":false,"id":428548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snieder, R.","contributorId":63924,"corporation":false,"usgs":true,"family":"Snieder","given":"R.","email":"","affiliations":[],"preferred":false,"id":428549,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ampuero, J.-P.","contributorId":28801,"corporation":false,"usgs":true,"family":"Ampuero","given":"J.-P.","affiliations":[],"preferred":false,"id":428547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hofmann, R.","contributorId":79699,"corporation":false,"usgs":true,"family":"Hofmann","given":"R.","email":"","affiliations":[],"preferred":false,"id":428550,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70031991,"text":"70031991 - 2007 - Ground-penetrating radar: A tool for monitoring bridge scour","interactions":[],"lastModifiedDate":"2012-03-12T17:21:27","indexId":"70031991","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1574,"text":"Environmental & Engineering Geoscience","printIssn":"1078-7275","active":true,"publicationSubtype":{"id":10}},"title":"Ground-penetrating radar: A tool for monitoring bridge scour","docAbstract":"Ground-penetrating radar (GPR) data were acquired across shallow streams and/or drainage ditches at 10 bridge sites in Missouri by maneuvering the antennae across the surface of the water and riverbank from the bridge deck, manually or by boat. The acquired two-dimensional and three-dimensional data sets accurately image the channel bottom, demonstrating that the GPR tool can be used to estimate and/or monitor water depths in shallow fluvial environments. The study results demonstrate that the GPR tool is a safe and effective tool for measuring and/or monitoring scour in proximity to bridges. The technique can be used to safely monitor scour at assigned time intervals during peak flood stages, thereby enabling owners to take preventative action prior to potential failure. The GPR tool can also be used to investigate depositional and erosional patterns over time, thereby elucidating these processes on a local scale. In certain instances, in-filled scour features can also be imaged and mapped. This information may be critically important to those engaged in bridge design. GPR has advantages over other tools commonly employed for monitoring bridge scour (reflection seismic profiling, echo sounding, and electrical conductivity probing). The tool doesn't need to be coupled to the water, can be moved rapidly across (or above) the surface of a stream, and provides an accurate depth-structure model of the channel bottom and subchannel bottom sediments. The GPR profiles can be extended across emerged sand bars or onto the shore.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental and Engineering Geoscience","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2113/gseegeosci.13.1.1","issn":"10787275","usgsCitation":"Anderson, N., Ismael, A., and Thitimakorn, T., 2007, Ground-penetrating radar: A tool for monitoring bridge scour: Environmental & Engineering Geoscience, v. 13, no. 1, p. 1-10, https://doi.org/10.2113/gseegeosci.13.1.1.","startPage":"1","endPage":"10","numberOfPages":"10","costCenters":[],"links":[{"id":214810,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2113/gseegeosci.13.1.1"},{"id":242562,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2b74e4b0c8380cd5b9c1","contributors":{"authors":[{"text":"Anderson, N.L.","contributorId":55129,"corporation":false,"usgs":true,"family":"Anderson","given":"N.L.","email":"","affiliations":[],"preferred":false,"id":434022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ismael, A.M.","contributorId":88168,"corporation":false,"usgs":true,"family":"Ismael","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":434024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thitimakorn, T.","contributorId":75770,"corporation":false,"usgs":true,"family":"Thitimakorn","given":"T.","email":"","affiliations":[],"preferred":false,"id":434023,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70031971,"text":"70031971 - 2007 - Modelingevapotranspirationina sub-tropical climate","interactions":[],"lastModifiedDate":"2012-03-12T17:21:26","indexId":"70031971","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2257,"text":"Journal of Environmental Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Modelingevapotranspirationina sub-tropical climate","docAbstract":"Evapotranspiration (ET) loss is estimated at about 80-85% of annual precipitation in South Florida. Accurate prediction of ET is important during and beyond the implementation of the Comprehensive Everglades Restoration Plan (CERP). In the USDA's Everglades Agro-Hydrology Model (EAHM) the soil water intake is linked with the soil water redistribution, soil evaporation, plant transpiration, subsurface lateral flow and subsurface drainage to calculate daily root zone soil water content. Hydrometeorological data from three sites with different soil moisture content and vegetal cover were used to evaluate the EAHM ET routine. In general, the EAHM water balance sub-model simulated the daily ET with acceptable accuracy in the area with standing water (Everglades) while using the Penman method. However, in the area with grass cover, there was a discrepancy between the model simulated and measured ET using either the Penman or the Priestley-Taylor method. The results indicated that in the region with two distinct climate patterns: dry (low humidity, more wind, and less precipitation) and wet (high humidity, less wind and more rainfall) such as South Florida, a combination method like Penman should be used for prediction of daily ET. However, in order to improve the predictability of the ET methods, information about surface albedo is needed for land surfaces with grass vegetation during the growing season.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"10583912","usgsCitation":"Savabi, M., Cochrane, T., German, E., Ikiz, C., and Cockshutt, N., 2007, Modelingevapotranspirationina sub-tropical climate: Journal of Environmental Hydrology, v. 15, p. 1-15.","startPage":"1","endPage":"15","numberOfPages":"15","costCenters":[],"links":[{"id":242789,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c5ee4b0c8380cd6fc35","contributors":{"authors":[{"text":"Savabi, M.R.","contributorId":25376,"corporation":false,"usgs":true,"family":"Savabi","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":433947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochrane, T.A.","contributorId":42447,"corporation":false,"usgs":true,"family":"Cochrane","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":433948,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"German, E.","contributorId":45133,"corporation":false,"usgs":true,"family":"German","given":"E.","affiliations":[],"preferred":false,"id":433950,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ikiz, C.","contributorId":101901,"corporation":false,"usgs":true,"family":"Ikiz","given":"C.","email":"","affiliations":[],"preferred":false,"id":433951,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cockshutt, N.","contributorId":43187,"corporation":false,"usgs":true,"family":"Cockshutt","given":"N.","email":"","affiliations":[],"preferred":false,"id":433949,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70031969,"text":"70031969 - 2007 - Surface drifter derived circulation in the northern and middle Adriatic Sea: Response to wind regime and season","interactions":[],"lastModifiedDate":"2012-03-12T17:21:26","indexId":"70031969","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Surface drifter derived circulation in the northern and middle Adriatic Sea: Response to wind regime and season","docAbstract":"More than 120 satellite-tracked drifters were deployed in the northern and middle Adriatic (NMA) Sea between September 2002 and November 2003, with the purpose of studying the surface circulation at mesoscale to seasonal scale in relation to wind forcing, river runoff, and bottom topography. Pseudo-Eulerian and Lagrangian statistics were calculated from the low-pass-filtered drifter velocity data between September 2002 and December 2003. The structure of the mean circulation is determined with unprecedented high horizontal resolution by the new data. In particular, mean currents, velocity variance, and kinetic energy levels are shown to be maximal in the Western Adriatic Current (WAC). Separating data into seasons, we found that the mean kinetic energy is maximal in fall, with high values also in winter, while it is significantly weaker in summer. High-resolution Local Area Model Italy winds were used to relate the drifter velocities to the wind fields. The surface currents appear to be significantly influenced by the winds. The mean flow during the northeasterly bora regime shows an intensification of the across-basin recirculating currents. In addition, the WAC is strongly intensified both in intensity and in its offshore lateral extension. In the southeasterly sirocco regime, northward flow without recirculation dominates in the eastern half of the basin, while during northwesterly maestro the WAC is enhanced. Separating the data into low and high Po River discharge rates for low-wind conditions shows that the WAC and the velocity fluctuations in front of the Po delta are stronger for high Po River runoff. Lagrangian covariance, diffusivity, and integral time and space scales are larger in the along-basin direction and are maximal in the southern portion of the WAC. Copyright 2006 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research C: Oceans","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2005JC003177","issn":"01480227","usgsCitation":"Ursella, L., Poulain, P., and Signell, R.P., 2007, Surface drifter derived circulation in the northern and middle Adriatic Sea: Response to wind regime and season: Journal of Geophysical Research C: Oceans, v. 112, no. 3, https://doi.org/10.1029/2005JC003177.","costCenters":[],"links":[{"id":487040,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2005jc003177","text":"Publisher Index Page"},{"id":214994,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2005JC003177"},{"id":242757,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","issue":"3","noUsgsAuthors":false,"publicationDate":"2006-12-15","publicationStatus":"PW","scienceBaseUri":"505b9fa5e4b08c986b31e74b","contributors":{"authors":[{"text":"Ursella, L.","contributorId":55658,"corporation":false,"usgs":true,"family":"Ursella","given":"L.","email":"","affiliations":[],"preferred":false,"id":433931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poulain, P.-M.","contributorId":81230,"corporation":false,"usgs":true,"family":"Poulain","given":"P.-M.","email":"","affiliations":[],"preferred":false,"id":433932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Signell, R. P.","contributorId":89147,"corporation":false,"usgs":true,"family":"Signell","given":"R.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":433933,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70030946,"text":"70030946 - 2007 - River enhancement in the Upper Mississippi River basin: Approaches based on river uses, alterations, and management agencies","interactions":[],"lastModifiedDate":"2012-03-12T17:21:19","indexId":"70030946","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"River enhancement in the Upper Mississippi River basin: Approaches based on river uses, alterations, and management agencies","docAbstract":"The Upper Mississippi River is characterized by a series of locks and dams, shallow impoundments, and thousands of river channelization structures that facilitate commercial navigation between Minneapolis, Minnesota, and Cairo, Illinois. Agriculture and urban development over the past 200 years have degraded water quality and increased the rate of sediment and nutrient delivery to surface waters. River enhancement has become an important management tool employed to address causes and effects of surface water degradation and river modification in the Upper Mississippi River Basin. We report information on individual river enhancement projects and contrast project densities, goals, activities, monitoring, and cost between commercially non-navigated and navigated rivers (Non-navigated and Navigated Rivers, respectively). The total number of river enhancement projects collected during this effort was 62,108. Cost of all projects reporting spending between 1972 and 2006 was about US$1.6 billion. Water quality management was the most cited project goal within the basin. Other important goals in Navigated Rivers included in-stream habitat improvement and flow modification. Most projects collected for Non-navigated Rivers and their watersheds originated from the U.S. Department of Agriculture (USDA). The U.S. Army Corps of Engineers and the USDA were important sources for projects in Navigated Rivers. Collaborative efforts between agencies that implement projects in Non-navigated and Navigated Rivers may be needed to more effectively address river impairment. However, the current state of data sources tracking river enhancement projects deters efficient and broad-scale integration. ?? Journal compilation ?? 2007 Society for Ecological Restoration International.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Restoration Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1526-100X.2007.00249.x","issn":"10612971","usgsCitation":"O’Donnell, T.K., and Galat, D., 2007, River enhancement in the Upper Mississippi River basin: Approaches based on river uses, alterations, and management agencies: Restoration Ecology, v. 15, no. 3, p. 538-549, https://doi.org/10.1111/j.1526-100X.2007.00249.x.","startPage":"538","endPage":"549","numberOfPages":"12","costCenters":[],"links":[{"id":211589,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1526-100X.2007.00249.x"},{"id":238901,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"3","noUsgsAuthors":false,"publicationDate":"2007-07-26","publicationStatus":"PW","scienceBaseUri":"505aadace4b0c8380cd86f52","contributors":{"authors":[{"text":"O’Donnell, T. K.","contributorId":27258,"corporation":false,"usgs":true,"family":"O’Donnell","given":"T.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":429334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Galat, D.L.","contributorId":54546,"corporation":false,"usgs":true,"family":"Galat","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":429335,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70030949,"text":"70030949 - 2007 - Analysis of Alaskan burn severity patterns using remotely sensed data","interactions":[],"lastModifiedDate":"2012-03-12T17:21:04","indexId":"70030949","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of Alaskan burn severity patterns using remotely sensed data","docAbstract":"Wildland fire is the dominant large-scale disturbance mechanism in the Alaskan boreal forest, and it strongly influences forest structure and function. In this research, patterns of burn severity in the Alaskan boreal forest are characterised using 24 fires. First, the relationship between burn severity and area burned is quantified using a linear regression. Second, the spatial correlation of burn severity as a function of topography is modelled using a variogram analysis. Finally, the relationship between vegetation type and spatial patterns of burn severity is quantified using linear models where variograms account for spatial correlation. These results show that: 1) average burn severity increases with the natural logarithm of the area of the wildfire, 2) burn severity is more variable in topographically complex landscapes than in flat landscapes, and 3) there is a significant relationship between burn severity and vegetation type in flat landscapes but not in topographically complex landscapes. These results strengthen the argument that differential flammability of vegetation exists in some boreal landscapes of Alaska. Additionally, these results suggest that through feedbacks between vegetation and burn severity, the distribution of forest vegetation through time is likely more stable in flat terrain than it is in areas with more complex topography. ?? IAWF 2007.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Wildland Fire","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1071/WF06034","issn":"10498001","usgsCitation":"Duffy, P., Epting, J., Graham, J., Rupp, T., and McGuire, A., 2007, Analysis of Alaskan burn severity patterns using remotely sensed data: International Journal of Wildland Fire, v. 16, no. 3, p. 277-284, https://doi.org/10.1071/WF06034.","startPage":"277","endPage":"284","numberOfPages":"8","costCenters":[],"links":[{"id":211616,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1071/WF06034"},{"id":238935,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059eaf9e4b0c8380cd48b2f","contributors":{"authors":[{"text":"Duffy, P.A.","contributorId":107493,"corporation":false,"usgs":true,"family":"Duffy","given":"P.A.","email":"","affiliations":[],"preferred":false,"id":429347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Epting, J.","contributorId":64451,"corporation":false,"usgs":true,"family":"Epting","given":"J.","affiliations":[],"preferred":false,"id":429345,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, J.M.","contributorId":57651,"corporation":false,"usgs":true,"family":"Graham","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":429344,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rupp, T.S.","contributorId":66904,"corporation":false,"usgs":true,"family":"Rupp","given":"T.S.","email":"","affiliations":[],"preferred":false,"id":429346,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGuire, A. D.","contributorId":16552,"corporation":false,"usgs":true,"family":"McGuire","given":"A. D.","affiliations":[],"preferred":false,"id":429343,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70030960,"text":"70030960 - 2007 - The impact of time and field conditions on brown bear (<i>Ursus arctos</i>) faecal DNA amplification","interactions":[],"lastModifiedDate":"2015-12-16T11:03:30","indexId":"70030960","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"The impact of time and field conditions on brown bear (<i>Ursus arctos</i>) faecal DNA amplification","docAbstract":"<p>To establish longevity of faecal DNA samples under varying summer field conditions, we collected 53 faeces from captive brown bears (<i>Ursus arctos</i>) on a restricted vegetation diet. Each faeces was divided, and one half was placed on a warm, dry field site while the other half was placed on a cool, wet field site on Moscow Mountain, Idaho, USA. Temperature, relative humidity, and dew point data were collected on each site, and faeces were sampled for DNA extraction at &lt;1, 3, 6, 14, 30, 45, and 60 days. Faecal DNA sample viability was assessed by attempting PCR amplification of a mitochondrial DNA (mtDNA) locus (???150 bp) and a nuclear DNA (nDNA) microsatellite locus (180-200 bp). Time in the field, temperature, and dew point impacted mtDNA and nDNA amplification success with the greatest drop in success rates occurring between 1 and 3 days. In addition, genotyping errors significantly increased over time at both field sites. Based on these results, we recommend collecting samples at frequent transect intervals and focusing sampling efforts during drier portions of the year when possible. ?? 2007 Springer Science+Business Media, Inc.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10592-006-9264-0","issn":"15660621","usgsCitation":"Murphy, M., Kendall, K., Robinson, A., and Waits, L., 2007, The impact of time and field conditions on brown bear (<i>Ursus arctos</i>) faecal DNA amplification: Conservation Genetics, v. 8, no. 5, p. 1219-1224, https://doi.org/10.1007/s10592-006-9264-0.","productDescription":"6 p.","startPage":"1219","endPage":"1224","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":238602,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211331,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10592-006-9264-0"}],"country":"United States","state":"Wyoming","otherGeospatial":"Grand Teton National Park, Snake River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.016845703125,\n              42.09007006868398\n            ],\n            [\n              -111.016845703125,\n              44.15856343854312\n            ],\n            [\n              -108.38012695312499,\n              44.15856343854312\n            ],\n            [\n              -108.38012695312499,\n              42.09007006868398\n            ],\n            [\n              -111.016845703125,\n              42.09007006868398\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"5","noUsgsAuthors":false,"publicationDate":"2007-01-05","publicationStatus":"PW","scienceBaseUri":"505baceee4b08c986b323852","contributors":{"authors":[{"text":"Murphy, M.A.","contributorId":65214,"corporation":false,"usgs":true,"family":"Murphy","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":429403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, K.C.","contributorId":39716,"corporation":false,"usgs":true,"family":"Kendall","given":"K.C.","email":"","affiliations":[],"preferred":false,"id":429400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, A.","contributorId":60011,"corporation":false,"usgs":true,"family":"Robinson","given":"A.","email":"","affiliations":[],"preferred":false,"id":429402,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waits, L.P.","contributorId":58987,"corporation":false,"usgs":true,"family":"Waits","given":"L.P.","email":"","affiliations":[],"preferred":false,"id":429401,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70030981,"text":"70030981 - 2007 - Field test comparison of an autocorrelation technique for determining grain size using a digital 'beachball' camera versus traditional methods","interactions":[],"lastModifiedDate":"2012-03-12T17:21:05","indexId":"70030981","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":"Field test comparison of an autocorrelation technique for determining grain size using a digital 'beachball' camera versus traditional methods","docAbstract":"This extensive field test of an autocorrelation technique for determining grain size from digital images was conducted using a digital bed-sediment camera, or 'beachball' camera. Using 205 sediment samples and >1200 images from a variety of beaches on the west coast of the US, grain size ranging from sand to granules was measured from field samples using both the autocorrelation technique developed by Rubin [Rubin, D.M., 2004. A simple autocorrelation algorithm for determining grain size from digital images of sediment. Journal of Sedimentary Research, 74(1): 160-165.] and traditional methods (i.e. settling tube analysis, sieving, and point counts). To test the accuracy of the digital-image grain size algorithm, we compared results with manual point counts of an extensive image data set in the Santa Barbara littoral cell. Grain sizes calculated using the autocorrelation algorithm were highly correlated with the point counts of the same images (r2 = 0.93; n = 79) and had an error of only 1%. Comparisons of calculated grain sizes and grain sizes measured from grab samples demonstrated that the autocorrelation technique works well on high-energy dissipative beaches with well-sorted sediment such as in the Pacific Northwest (r2 ??? 0.92; n = 115). On less dissipative, more poorly sorted beaches such as Ocean Beach in San Francisco, results were not as good (r2 ??? 0.70; n = 67; within 3% accuracy). Because the algorithm works well compared with point counts of the same image, the poorer correlation with grab samples must be a result of actual spatial and vertical variability of sediment in the field; closer agreement between grain size in the images and grain size of grab samples can be achieved by increasing the sampling volume of the images (taking more images, distributed over a volume comparable to that of a grab sample). In all field tests the autocorrelation method was able to predict the mean and median grain size with ???96% accuracy, which is more than adequate for the majority of sedimentological applications, especially considering that the autocorrelation technique is estimated to be at least 100 times faster than traditional methods.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Sedimentary Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.sedgeo.2007.05.016","issn":"00370738","usgsCitation":"Barnard, P., Rubin, D.M., Harney, J., and Mustain, N., 2007, Field test comparison of an autocorrelation technique for determining grain size using a digital 'beachball' camera versus traditional methods: Sedimentary Geology, v. 201, no. 1-2, p. 180-195, https://doi.org/10.1016/j.sedgeo.2007.05.016.","startPage":"180","endPage":"195","numberOfPages":"16","costCenters":[],"links":[{"id":211617,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.sedgeo.2007.05.016"},{"id":238936,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"201","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0fdce4b0c8380cd53a47","contributors":{"authors":[{"text":"Barnard, P.L.","contributorId":20527,"corporation":false,"usgs":true,"family":"Barnard","given":"P.L.","email":"","affiliations":[],"preferred":false,"id":429489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rubin, D. M.","contributorId":103689,"corporation":false,"usgs":true,"family":"Rubin","given":"D.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":429491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harney, J.","contributorId":18172,"corporation":false,"usgs":true,"family":"Harney","given":"J.","email":"","affiliations":[],"preferred":false,"id":429488,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mustain, N.","contributorId":102688,"corporation":false,"usgs":true,"family":"Mustain","given":"N.","affiliations":[],"preferred":false,"id":429490,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70031965,"text":"70031965 - 2007 - Prioritizing bottomland hardwood forest sites for protection and augmentation","interactions":[],"lastModifiedDate":"2019-09-30T12:01:24","indexId":"70031965","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2821,"text":"Natural Areas Journal","active":true,"publicationSubtype":{"id":10}},"title":"Prioritizing bottomland hardwood forest sites for protection and augmentation","docAbstract":"Bottomland hardwood forest has been greatly diminished by conversion to agriculture. Less than 25% of the pre-Columbian bottomland hardwood forests remain in the southeastern United States. Because of the valuable ecological and hydrological functions performed by these forests, their conservation and restoration has been a high priority. Part of these restoration efforts has focused on developing tools that can be used for both assessments at the landscape level and policy implementation at the local level. The distribution of bottomland hardwood forests in the Cache and White River watersheds in eastern Arkansas were examined using existing GIS databases. Criteria were developed to select areas that should be conserved or augmented for wildlife habitat. Over 67% of the study area was classified as agriculture, with bottomland hardwood forest the next largest habitat class. The thickness of a forest fragment was defined as the radius of the largest circle that can be inscribed in a fragment. Thickness was used in three ways. First, individual forest fragments were identified and selected based on ecological function using criteria we established. Second, individual fragments that were too small to support interior species, but large enough that if moderately augmented they could recover that function, were identified and selected. These augmentable fragments were further prioritized by adjacency to habitat that might be suitable for reforestation, namely agriculture. Third, watersheds were prioritized for conservation and augmentation based on the size and distributions of forest fragment thickness and area within each watershed.","language":"English","publisher":"Natural Areas Association","doi":"10.3375/0885-8608(2007)27[72:PBHFSF]2.0.CO;2","issn":"08858608","usgsCitation":"Carter, J., and Biagas, J., 2007, Prioritizing bottomland hardwood forest sites for protection and augmentation: Natural Areas Journal, v. 27, no. 1, p. 72-82, https://doi.org/10.3375/0885-8608(2007)27[72:PBHFSF]2.0.CO;2.","productDescription":"11 p.","startPage":"72","endPage":"82","numberOfPages":"11","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":242688,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.197265625,\n              33.89321737944089\n            ],\n            [\n              -90.087890625,\n              33.89321737944089\n            ],\n            [\n              -90.087890625,\n              36.16892253622743\n            ],\n            [\n              -92.197265625,\n              36.16892253622743\n            ],\n            [\n              -92.197265625,\n              33.89321737944089\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"27","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8c71e4b0c8380cd7e6bc","contributors":{"authors":[{"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":433915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biagas, J. 0000-0001-5548-1970","orcid":"https://orcid.org/0000-0001-5548-1970","contributorId":51558,"corporation":false,"usgs":true,"family":"Biagas","given":"J.","affiliations":[],"preferred":false,"id":433914,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70031686,"text":"70031686 - 2007 - Geologic characteristics of the central stretch of the Ticona Channel, north-central Illinois","interactions":[],"lastModifiedDate":"2012-03-12T17:21:12","indexId":"70031686","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1541,"text":"Environmental Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"Geologic characteristics of the central stretch of the Ticona Channel, north-central Illinois","docAbstract":"The Ticona Channel is located in north-central Illinois and occurs in Grundy, LaSalle, and Putnam counties. It is a buried bedrock valley that served as the principal paleodrainage system in north-central Illinois during the Illinoian and pre-Illinoian. This study focused on the part of the Ticona Channel within the Leonore 7.5??? Quadrangle. The geometry and stratigraphy of sediments that fill the Ticona Channel were investigated using high-resolution, shallow seismic reflection profiling, traditional field geologic mapping techniques, borehole data, and water-well-log data. The valley is about 2 km (1 mi) wide and approximately 60 m (200 ft) deep. The U-shape channel is straight, trends east-west, and has only one mappable tributary. The valley is carved into the Pennsylvanian Carbondale Formation in the eastern part of the study area; it has incised into the Ordovician Prairie du Chien Group in the west. At its base, the Ticona Channel is filled with the Pearl Formation, which is coarse-grained sand and gravel that was deposited during the Illinoian glaciation. The Pearl Formation is overlain by Illinoian till of the Glasford Formation and is capped by Wedron Group sediments from the Wisconsinan stage. Copyright ?? 2007. The American Association of Petroleum Geologists/Division of Environmental Geosciences. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Geosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1306/eg.05030606002","issn":"10759565","usgsCitation":"Willems, B., Malone, D., and Pugin, A., 2007, Geologic characteristics of the central stretch of the Ticona Channel, north-central Illinois: Environmental Geosciences, v. 14, no. 3, p. 123-136, https://doi.org/10.1306/eg.05030606002.","startPage":"123","endPage":"136","numberOfPages":"14","costCenters":[],"links":[{"id":212363,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1306/eg.05030606002"},{"id":239836,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1935e4b0c8380cd558e9","contributors":{"authors":[{"text":"Willems, B.A.","contributorId":78208,"corporation":false,"usgs":true,"family":"Willems","given":"B.A.","email":"","affiliations":[],"preferred":false,"id":432693,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Malone, D.H.","contributorId":92124,"corporation":false,"usgs":true,"family":"Malone","given":"D.H.","email":"","affiliations":[],"preferred":false,"id":432694,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pugin, A.","contributorId":10953,"corporation":false,"usgs":true,"family":"Pugin","given":"A.","affiliations":[],"preferred":false,"id":432692,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70031683,"text":"70031683 - 2007 - Does amplitude scaling of ground motion records result in biased nonlinear structural drift responses?","interactions":[],"lastModifiedDate":"2012-03-12T17:21:12","indexId":"70031683","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1434,"text":"Earthquake Engineering and Structural Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"Does amplitude scaling of ground motion records result in biased nonlinear structural drift responses?","docAbstract":"Limitations of the existing earthquake ground motion database lead to scaling of records to obtain seismograms consistent with a ground motion target for structural design and evaluation. In the engineering seismology community, acceptable limits for 'legitimate' scaling vary from one (no scaling allowed) to 10 or more. The concerns expressed by detractors of scaling are mostly based on the knowledge of, for example, differences in ground motion characteristics for different earthquake magnitude-distance (Mw-Rclose) scenarios, and much less on their effects on structures. At the other end of the spectrum, proponents have demonstrated that scaling is not only legitimate but also useful for assessing structural response statistics for Mw-Rclose scenarios. Their studies, however, have not investigated more recent purposes of scaling and have not always drawn conclusions for a wide spectrum of structural vibration periods and strengths. This article investigates whether scaling of records randomly selected from an Mw-Rclose bin (or range) to a target fundamental-mode spectral acceleration (Sa) level introduces bias in the expected nonlinear structural drift response of both single-degree-of-freedom oscillators and one multi-degree-of-freedom building. The bias is quantified relative to unscaled records from the target Mw-Rclose bin that are 'naturally' at the target Sa level. We consider scaling of records from the target Mw-Rclose bin and from other Mw-Rclose bins. The results demonstrate that scaling can indeed introduce a bias that, for the most part, ca be explained by differences between the elastic response spectra of the scaled versus unscaled records. Copyright ?? 2007 John Wiley & Sons, Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earthquake Engineering and Structural Dynamics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/eqe.695","issn":"00988847","usgsCitation":"Luco, N., and Bazzurro, P., 2007, Does amplitude scaling of ground motion records result in biased nonlinear structural drift responses?: Earthquake Engineering and Structural Dynamics, v. 36, no. 13, p. 1813-1835, https://doi.org/10.1002/eqe.695.","startPage":"1813","endPage":"1835","numberOfPages":"23","costCenters":[],"links":[{"id":212335,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/eqe.695"},{"id":239803,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"13","noUsgsAuthors":false,"publicationDate":"2007-06-22","publicationStatus":"PW","scienceBaseUri":"505a038ae4b0c8380cd50512","contributors":{"authors":[{"text":"Luco, N.","contributorId":34240,"corporation":false,"usgs":true,"family":"Luco","given":"N.","email":"","affiliations":[],"preferred":false,"id":432674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bazzurro, P.","contributorId":90537,"corporation":false,"usgs":true,"family":"Bazzurro","given":"P.","email":"","affiliations":[],"preferred":false,"id":432675,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70030997,"text":"70030997 - 2007 - Biogeographic affinity helps explain productivity-richness relationships at regional and local scales","interactions":[],"lastModifiedDate":"2012-03-12T17:21:17","indexId":"70030997","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Biogeographic affinity helps explain productivity-richness relationships at regional and local scales","docAbstract":"The unresolved question of what causes the observed positive relationship between large-scale productivity and species richness has long interested ecologists and evolutionists. Here we examine a potential explanation that we call the biogeographic affinity hypothesis, which proposes that the productivity-richness relationship is a function of species' climatic tolerances that in turn are shaped by the earth's climatic history combined with evolutionary niche conservatism. Using botanical data from regions and sites across California, we find support for a key prediction of this hypothesis, namely, that the productivity-species richness relationship differs strongly and predictably among groups of higher taxa on the basis of their biogeographic affinities (i.e., between families or genera primarily associated with north-temperate, semiarid, or desert zones). We also show that a consideration of biogeographic affinity can yield new insights on how productivity-richness patterns at large geographic scales filter down to affect patterns of species richness and composition within local communities. ?? 2007 by The University of Chicago. All rights reserved.","largerWorkTitle":"American Naturalist","language":"English","doi":"10.1086/519010","issn":"00030147","usgsCitation":"Harrison, S., and Grace, J., 2007, Biogeographic affinity helps explain productivity-richness relationships at regional and local scales, <i>in</i> American Naturalist, v. 170, no. SUPPL., https://doi.org/10.1086/519010.","costCenters":[],"links":[{"id":211334,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1086/519010"},{"id":238606,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"170","issue":"SUPPL.","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f15ae4b0c8380cd4abf2","contributors":{"authors":[{"text":"Harrison, S.","contributorId":76129,"corporation":false,"usgs":true,"family":"Harrison","given":"S.","affiliations":[],"preferred":false,"id":429566,"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":429565,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70031652,"text":"70031652 - 2007 - Geologic characterization of shelf areas using usSEABED for GIS mapping, modeling processes and assessing marine sand and gravel resources","interactions":[],"lastModifiedDate":"2017-09-20T15:48:21","indexId":"70031652","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geologic characterization of shelf areas using usSEABED for GIS mapping, modeling processes and assessing marine sand and gravel resources","docAbstract":"Geologic maps depicting offshore sedimentary features serve many scientific and applied purposes. Such maps have been lacking, but recent computer technology and software offer promise in the capture and display of diverse marine data. Continental margins contain landforms which provide a variety of important functions and contain important sedimentary records. Some shelf areas also contain deposits regarded as potential aggregate resources. Because proper management of coastal and offshore areas is increasingly important, knowledge of the framework geology and marine processes is critical. Especially valuable are comprehensive and integrated digital databases based on high-quality information from original sources. Products of interest are GIS maps containing thematic information, such as sediment character and texture. These products are useful to scientists modeling nearshore and shelf processes as well as planners and managers. The U.S. Geological Survey is leading a national program to gather a variety of extant marine geologic data into the usSEABED database system. This provides centralized, integrated marine geologic data collected over the past 50 years. To date, over 340,000 sediment data points from the U.S. reside in usSEABED, which combines an array of physical data and analytical and descriptive information about the sea floor and are available to the marine community through three USGS data reports for the Atlantic, Gulf of Mexico, and Pacific published in 2006, and the project web sites: (http://woodshole.er.usg s.gov/project-pages/aggregates/ and http://walrus.wr.usgs.gov/usseabed/)","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal Sediments '07 - Proceedings of 6th International Symposium on Coastal Engineering and Science of Coastal Sediment Processes","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"6th International Symposium on Coastal Engineering and Science of Coastal Sediment Processes","conferenceDate":"May 13-17, 2007","conferenceLocation":"New Orleans, LA","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/40926(239)194","isbn":"0784409269; 9780784409268","usgsCitation":"Williams, S., Bliss, J.D., Arsenault, M., Jenkins, C., and Goff, J., 2007, Geologic characterization of shelf areas using usSEABED for GIS mapping, modeling processes and assessing marine sand and gravel resources, <i>in</i> Coastal Sediments '07 - Proceedings of 6th International Symposium on Coastal Engineering and Science of Coastal Sediment Processes, New Orleans, LA, May 13-17, 2007, p. 2473-2486, https://doi.org/10.1061/40926(239)194.","productDescription":"14 p.","startPage":"2473","endPage":"2486","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":239870,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","noUsgsAuthors":false,"publicationDate":"2012-04-26","publicationStatus":"PW","scienceBaseUri":"505a1937e4b0c8380cd558f0","contributors":{"authors":[{"text":"Williams, S.J.","contributorId":85203,"corporation":false,"usgs":true,"family":"Williams","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":432521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bliss, J. D.","contributorId":25564,"corporation":false,"usgs":true,"family":"Bliss","given":"J.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":432518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arsenault, M.A.","contributorId":32353,"corporation":false,"usgs":true,"family":"Arsenault","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":432519,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenkins, C.J.","contributorId":61244,"corporation":false,"usgs":true,"family":"Jenkins","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":432520,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goff, J.A.","contributorId":17004,"corporation":false,"usgs":true,"family":"Goff","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":432517,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70031636,"text":"70031636 - 2007 - Mercury concentrations and space use of pre-breeding American avocets and black-necked stilts in San Francisco Bay","interactions":[],"lastModifiedDate":"2017-07-19T15:28:27","indexId":"70031636","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Mercury concentrations and space use of pre-breeding American avocets and black-necked stilts in San Francisco Bay","docAbstract":"<p><span>We examined factors influencing mercury concentrations in pre-breeding American avocets (</span><i>Recurvirostra americana</i><span>) and black-necked stilts (</span><i>Himantopus mexicanus</i><span>), the two most abundant breeding shorebirds in San Francisco Bay, California. We tested the effects of species, site, sex, year, and date on total mercury concentrations in blood of pre-breeding adult birds and used radio telemetry to determine space use and sites of dietary mercury exposure. We collected blood from 373 avocets and 157 stilts from February to April in 2005 and 2006, radio-marked and tracked 115 avocets and 94 stilts, and obtained 2393 avocet and 1928 stilt telemetry locations. Capture site was the most important factor influencing mercury concentrations in birds, followed by species and sex. Mercury concentrations were higher in stilts (geometric mean: 1.09&nbsp;μg g</span><sup>−&nbsp;1</sup><span> wet weight [ww]) than in avocets (0.25&nbsp;μg g</span><sup>−&nbsp;1</sup><span> ww) and males (stilts: 1.32&nbsp;μg g</span><sup>−&nbsp;1</sup><span> ww; avocets: 0.32&nbsp;μg g</span><sup>−&nbsp;1</sup><span> ww) had higher levels than females (stilts: 1.15&nbsp;μg g</span><sup>−&nbsp;1</sup><span> ww; avocets: 0.21&nbsp;μg g</span><sup>−&nbsp;1</sup><span> ww). Mercury concentrations were highest for both species at the southern end of San Francisco Bay, especially in salt pond A8 (stilts: 3.31&nbsp;μg g</span><sup>−&nbsp;1</sup><span> ww; avocets: 0.58&nbsp;μg g</span><sup>−&nbsp;1</sup><span> ww). Radio telemetry data showed that birds had strong fidelity to their capture site. Avocets primarily used salt ponds, tidal marshes, tidal flats, and managed marshes, whereas stilts mainly used salt ponds, managed marshes, and tidal marshes. Our results suggest that variation in blood mercury concentrations among sites was attributed to differences in foraging areas, and species differences in habitat use and foraging strategies may increase mercury exposure in stilts more than avocets.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2007.04.027","issn":"00489697","usgsCitation":"Ackerman, J., Eagles-Smith, C.A., Takekawa, J.Y., Demers, S.A., Adelsbach, T.L., Bluso, J., Miles, A.K., Warnock, N., Suchanek, T., and Schwarzbach, S.E., 2007, Mercury concentrations and space use of pre-breeding American avocets and black-necked stilts in San Francisco Bay: Science of the Total Environment, v. 384, no. 1-3, p. 452-466, https://doi.org/10.1016/j.scitotenv.2007.04.027.","productDescription":"15 p.","startPage":"452","endPage":"466","numberOfPages":"15","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":212185,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2007.04.027"},{"id":239635,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"384","issue":"1-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a53ede4b0c8380cd6ce00","contributors":{"authors":[{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":432454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":432456,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":432452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Demers, Scott A.","contributorId":62411,"corporation":false,"usgs":true,"family":"Demers","given":"Scott","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":432451,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adelsbach, Terrence L.","contributorId":60745,"corporation":false,"usgs":true,"family":"Adelsbach","given":"Terrence","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":432455,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bluso, J.D.","contributorId":17033,"corporation":false,"usgs":true,"family":"Bluso","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":432447,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Miles, A. Keith 0000-0002-3108-808X keith_miles@usgs.gov","orcid":"https://orcid.org/0000-0002-3108-808X","contributorId":196,"corporation":false,"usgs":true,"family":"Miles","given":"A.","email":"keith_miles@usgs.gov","middleInitial":"Keith","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":432449,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Warnock, Nils","contributorId":64534,"corporation":false,"usgs":false,"family":"Warnock","given":"Nils","email":"","affiliations":[],"preferred":false,"id":432453,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Suchanek, Thomas H. tsuchanek@usgs.gov","contributorId":2800,"corporation":false,"usgs":true,"family":"Suchanek","given":"Thomas H.","email":"tsuchanek@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":432448,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schwarzbach, Steven E. steven_schwarzbach@usgs.gov","contributorId":1025,"corporation":false,"usgs":true,"family":"Schwarzbach","given":"Steven","email":"steven_schwarzbach@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":432450,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70031633,"text":"70031633 - 2007 - Spatial and temporal variability in oceanographic and meteorologic forcing along Central California and its implications on nearshore processes","interactions":[],"lastModifiedDate":"2023-07-18T11:09:40.445093","indexId":"70031633","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2381,"text":"Journal of Marine Systems","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal variability in oceanographic and meteorologic forcing along Central California and its implications on nearshore processes","docAbstract":"In the past two decades, the understanding of the important large-scale phenomena (El Niño, upwelling, California current, etc) that drive physical, chemical, and biological processes along the US West Coast has greatly improved. However, the ability to predict the influence of annual and inter-annual events on a regional scale still remains limited. High-resolution hourly data from 6 National Oceanographic and Atmospheric Administration (NOAA) buoys deployed since the early 1980's off Central California were analyzed to improve our understanding of spatial and temporal variability of oceanographic and meteorologic forcing along the coastline. Seasonal to inter-annual trends in wave height, wave period, sea level barometric pressure, sea-surface temperature, and wind direction were identified, as were significant departures in these trends during El Niño and La Niña periods. The results suggest there are increasing wave heights and wave periods, decreasing sea level barometric pressures and variability in sea-surface temperatures, and increasingly variable winds off Central California between 1980 and 2002. The impact of these climatic trends on coastal physical, geological and biologic processes will also be addressed.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jmarsys.2007.02.008","issn":"09247963","usgsCitation":"Wingfield, D., and Storlazzi, C., 2007, Spatial and temporal variability in oceanographic and meteorologic forcing along Central California and its implications on nearshore processes: Journal of Marine Systems, v. 68, no. 3-4, p. 457-472, https://doi.org/10.1016/j.jmarsys.2007.02.008.","productDescription":"16 p.","startPage":"457","endPage":"472","numberOfPages":"16","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"links":[{"id":240114,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"68","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b944fe4b08c986b31a9cc","contributors":{"authors":[{"text":"Wingfield, D.K.","contributorId":16656,"corporation":false,"usgs":true,"family":"Wingfield","given":"D.K.","email":"","affiliations":[],"preferred":false,"id":432435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, C. D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":98905,"corporation":false,"usgs":true,"family":"Storlazzi","given":"C. D.","affiliations":[],"preferred":false,"id":432436,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70031012,"text":"70031012 - 2007 - Rapid assessment of postfire plant invasions in coniferous forests of the western United States","interactions":[],"lastModifiedDate":"2015-12-18T11:00:11","indexId":"70031012","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","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":"Rapid assessment of postfire plant invasions in coniferous forests of the western United States","docAbstract":"<p>Fire is a natural part of most forest ecosystems in the western United States, but its effects on nonnative plant invasion have only recently been studied. Also, forest managers are engaging in fuel reduction projects to lessen fire severity, often without considering potential negative ecological consequences such as nonnative plant species introductions. Increased availability of light, nutrients, and bare ground have all been associated with high-severity fires and fuel treatments and are known to aid in the establishment of nonnative plant species. We use vegetation and environmental data collected after wildfires at seven sites in coniferous forests in the western United States to study responses of nonnative plants to wildfire. We compared burned vs. unburned plots and plots treated with mechanical thinning and/or prescribed burning vs. untreated plots for nonnative plant species richness and cover and used correlation analyses to infer the effect of abiotic site conditions on invasibility. Wildfire was responsible for significant increases in nonnative species richness and cover, and a significant decrease in native cover. Mechanical thinning and prescribed fire fuel treatments were associated with significant changes in plant species composition at some sites. Treatment effects across sites were minimal and inconclusive due to significant site and site x treatment interaction effects caused by variation between sites including differences in treatment and fire severities and initial conditions (e.g., nonnative species sources). We used canonical correspondence analysis (CCA) to determine what combinations of environmental variables best explained patterns of nonnative plant species richness and cover. Variables related to fire severity, soil nutrients, and elevation explained most of the variation in species composition. Nonnative species were generally associated with sites with higher fire severity, elevation, percentage of bare ground, and lower soil nutrient levels and lower canopy cover. Early assessments of postfire stand conditions can guide rapid responses to nonnative plant invasions. ?? 2007 by the Ecological Society of America.</p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/06-1859.1","issn":"10510761","usgsCitation":"Freeman, J., Stohlgren, T., Hunter, M., Omi, P.N., Martinson, E., Chong, G., and Brown, C.S., 2007, Rapid assessment of postfire plant invasions in coniferous forests of the western United States: Ecological Applications, v. 17, no. 6, p. 1656-1665, https://doi.org/10.1890/06-1859.1.","productDescription":"10 p.","startPage":"1656","endPage":"1665","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":238904,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211591,"rank":9999,"type":{"id":10,"text":"Digital Object 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N.","contributorId":24307,"corporation":false,"usgs":true,"family":"Omi","given":"Philip","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":429629,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martinson, E.J.","contributorId":47149,"corporation":false,"usgs":true,"family":"Martinson","given":"E.J.","email":"","affiliations":[],"preferred":false,"id":429630,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chong, G.W.","contributorId":54153,"corporation":false,"usgs":true,"family":"Chong","given":"G.W.","email":"","affiliations":[],"preferred":false,"id":429631,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brown, C. S.","contributorId":80675,"corporation":false,"usgs":false,"family":"Brown","given":"C.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":429633,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70031631,"text":"70031631 - 2007 - A crustal seismic velocity model for the UK, Ireland and surrounding seas","interactions":[],"lastModifiedDate":"2023-07-06T12:30:27.908537","indexId":"70031631","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"A crustal seismic velocity model for the UK, Ireland and surrounding seas","docAbstract":"<p class=\"chapter-para\">A regional model of the 3-D variation in seismic<span>&nbsp;</span><i>P</i>-wave velocity structure in the crust of NW Europe has been compiled from wide-angle reflection/refraction profiles. Along each 2-D profile a velocity–depth function has been digitised at 5 km intervals. These 1-D velocity functions were mapped into three dimensions using ordinary kriging with weights determined to minimise the difference between digitised and interpolated values. An analysis of variograms of the digitised data suggested a radial isotropic weighting scheme was most appropriate. Horizontal dimensions of the model cells are optimised at 40 × 40 km and the vertical dimension at 1 km. The resulting model provides a higher resolution image of the 3-D variation in seismic velocity structure of the UK, Ireland and surrounding areas than existing models. The construction of the model through kriging allows the uncertainty in the velocity structure to be assessed. This uncertainty indicates the high density of data required to confidently interpolate the crustal velocity structure, and shows that for this region the velocity is poorly constrained for large areas away from the input data.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1111/j.1365-246X.2007.03569.x","issn":"0956540X","usgsCitation":"Kelly, A., England, R., and Maguire, P.K., 2007, A crustal seismic velocity model for the UK, Ireland and surrounding seas: Geophysical Journal International, v. 171, no. 3, p. 1172-1184, https://doi.org/10.1111/j.1365-246X.2007.03569.x.","productDescription":"13 p.","startPage":"1172","endPage":"1184","numberOfPages":"13","costCenters":[],"links":[{"id":477058,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":240077,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United Kingdom, Ireland","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -13.140348177630926,\n              59.38308254359461\n            ],\n            [\n              -13.140348177630926,\n              49.365106758849805\n            ],\n            [\n              2.6731794840919463,\n              49.365106758849805\n            ],\n            [\n              2.6731794840919463,\n              59.38308254359461\n            ],\n            [\n              -13.140348177630926,\n              59.38308254359461\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"171","issue":"3","noUsgsAuthors":false,"publicationDate":"2007-09-27","publicationStatus":"PW","scienceBaseUri":"5059e3a2e4b0c8380cd4614c","contributors":{"authors":[{"text":"Kelly, A.","contributorId":86975,"corporation":false,"usgs":true,"family":"Kelly","given":"A.","email":"","affiliations":[],"preferred":false,"id":432428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"England, R.W.","contributorId":106663,"corporation":false,"usgs":true,"family":"England","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":432429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maguire, Peter K.H.","contributorId":15766,"corporation":false,"usgs":true,"family":"Maguire","given":"Peter","email":"","middleInitial":"K.H.","affiliations":[],"preferred":false,"id":432427,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70031628,"text":"70031628 - 2007 - Validation of streamflow measurements made with acoustic doppler current profilers","interactions":[],"lastModifiedDate":"2012-03-12T17:21:10","indexId":"70031628","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2338,"text":"Journal of Hydraulic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Validation of streamflow measurements made with acoustic doppler current profilers","docAbstract":"The U.S. Geological Survey and other international agencies have collaborated to conduct laboratory and field validations of acoustic Doppler current profiler (ADCP) measurements of streamflow. Laboratory validations made in a large towing basin show that the mean differences between tow cart velocity and ADCP bottom-track and water-track velocities were -0.51 and -1.10%, respectively. Field validations of commercially available ADCPs were conducted by comparing streamflow measurements made with ADCPs to reference streamflow measurements obtained from concurrent mechanical current-meter measurements, stable rating curves, salt-dilution measurements, or acoustic velocity meters. Data from 1,032 transects, comprising 100 discharge measurements, were analyzed from 22 sites in the United States, Canada, Sweden, and The Netherlands. Results of these analyses show that broadband ADCP streamflow measurements are unbiased when compared to the reference discharges regardless of the water mode used for making the measurement. Measurement duration is more important than the number of transects for reducing the uncertainty of the ADCP streamflow measurement. ?? 2007 ASCE.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydraulic Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1061/(ASCE)0733-9429(2007)133:12(1421)","issn":"07339429","usgsCitation":"Oberg, K., and Mueller, D.S., 2007, Validation of streamflow measurements made with acoustic doppler current profilers: Journal of Hydraulic Engineering, v. 133, no. 12, p. 1421-1432, https://doi.org/10.1061/(ASCE)0733-9429(2007)133:12(1421).","startPage":"1421","endPage":"1432","numberOfPages":"12","costCenters":[],"links":[{"id":240042,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":212543,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)0733-9429(2007)133:12(1421)"}],"volume":"133","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc102e4b08c986b32a407","contributors":{"authors":[{"text":"Oberg, K.","contributorId":60376,"corporation":false,"usgs":true,"family":"Oberg","given":"K.","affiliations":[],"preferred":false,"id":432418,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mueller, D. S.","contributorId":51338,"corporation":false,"usgs":true,"family":"Mueller","given":"D.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":432417,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70031625,"text":"70031625 - 2007 - Arthropod prey of Wilson's Warblers in the understory of Douglas-fir forests","interactions":[],"lastModifiedDate":"2017-11-15T14:17:18","indexId":"70031625","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Arthropod prey of Wilson's Warblers in the understory of Douglas-fir forests","docAbstract":"Availability of food resources is an important factor in avian habitat selection. Food resources for terrestrial birds often are closely related to vegetation structure and composition. Identification of plant species important in supporting food resources may facilitate vegetation management to achieve objectives for providing bird habitat. We used fecal analysis to describe the diet of adult Wilson's Warblers (Wilsonia pusilla) that foraged in the understory of Douglas-fir (Pseudotsuga menziesii) forests in western Oregon during the breeding season. We sampled arthropods at the same sites where diet data were collected, and compared abundance and biomass of prey among seven common shrub species. Wilson's Warblers ate more caterpillars (Lepidoptera larvae), flies (Diptera), beetles (Coleoptera), and Homoptera than expected based on availability. Deciduous shrubs supported higher abundances of arthropod taxa and size classes used as prey by Wilson's Warblers than did evergreen shrubs. The development and maintenance of deciduous understory vegetation in conifer forests of the Pacific Northwest may be fundamental for conservation of food webs that support breeding Wilson's Warblers and other shrub-associated, insectivorous songbirds.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wilson Journal of Ornithology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1676/06-056.1","issn":"15594491","usgsCitation":"Hagar, J., Dugger, K., and Starkey, E., 2007, Arthropod prey of Wilson's Warblers in the understory of Douglas-fir forests: Wilson Journal of Ornithology, v. 119, no. 4, p. 533-546, https://doi.org/10.1676/06-056.1.","startPage":"533","endPage":"546","numberOfPages":"14","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":240003,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":212510,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1676/06-056.1"}],"volume":"119","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059eda6e4b0c8380cd49917","contributors":{"authors":[{"text":"Hagar, J.C.","contributorId":46208,"corporation":false,"usgs":true,"family":"Hagar","given":"J.C.","affiliations":[],"preferred":false,"id":432407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dugger, K.M.","contributorId":25729,"corporation":false,"usgs":true,"family":"Dugger","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":432406,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Starkey, E. E.","contributorId":51942,"corporation":false,"usgs":true,"family":"Starkey","given":"E. E.","affiliations":[],"preferred":false,"id":432408,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70031622,"text":"70031622 - 2007 - Regional dynamics of grassland change in the western Great Plains","interactions":[],"lastModifiedDate":"2012-03-12T17:21:11","indexId":"70031622","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Regional dynamics of grassland change in the western Great Plains","docAbstract":"This paper examines the contemporary land-cover changes in two western Great Plains ecoregions between 1973 and 2000. Agriculture and other land uses can have a substantial effect on grassland cover that varies regionally depending on the primary driving forces of change. In order to better understand change, the rates, types, and causes of land conversion were examined for 1973, 1980, 1986, 1992, and 2000 using Landsat satellite data and a statistical sampling strategy. The overall estimated rate of land-cover change between 1973 and 2000 was 7.4% in the Northwestern Great Plains and 11.5% in the Western High Plains. Trends in both ecoregions have similarities, although the dynamics of change differ temporally depending on driving forces. Between 1973 and 1986, grassland cover declined when economic opportunity drove an expansion of agriculture. Between 1986 and 2000, grassland expanded as public policy and a combination of socioeconomic factors drove a conversion from agriculture to grassland. ?? 2007 Copyright by the Center for Great Plains Studies, University of Nebraska-Lincoln.","largerWorkTitle":"Great Plains Research","language":"English","issn":"10525165","usgsCitation":"Drummond, M., 2007, Regional dynamics of grassland change in the western Great Plains, <i>in</i> Great Plains Research, v. 17, no. 2, p. 133-144.","startPage":"133","endPage":"144","numberOfPages":"12","costCenters":[],"links":[{"id":239937,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4a4c1e4b0e8fec6cdbc4b","contributors":{"authors":[{"text":"Drummond, M.A.","contributorId":53602,"corporation":false,"usgs":true,"family":"Drummond","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":432395,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70031016,"text":"70031016 - 2007 - Identifying sources of nitrogen to Hanalei Bay, Kauai, utilizing the nitrogen isotope signature of macroalgae","interactions":[],"lastModifiedDate":"2023-07-31T12:20:02.840178","indexId":"70031016","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Identifying sources of nitrogen to Hanalei Bay, Kauai, utilizing the nitrogen isotope signature of macroalgae","docAbstract":"<div class=\"article_abstract\"><div class=\"container container_scaled-down\"><div class=\"row\"><div class=\"col-xs-12\"><div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Sewage effluent, storm runoff, discharge from polluted rivers, and inputs of groundwater have all been suggested as potential sources of land derived nutrients into Hanalei Bay, Kauai. We determined the nitrogen isotopic signatures (δ<sup>15</sup>N) of different nitrate sources to Hanalei Bay along with the isotopic signature recorded by 11 species of macroalgal collected in the Bay. The macroalgae integrate the isotopic signatures of the nitrate sources over time, thus these data along with the nitrate to dissolved inorganic phosphate molar ratios (N:P) of the macroalgae were used to determine the major nitrate source to the bay ecosystem and which of the macro-nutrients is limiting algae growth, respectively. Relatively low δ<sup>15</sup>N values (average −0.5‰) were observed in all algae collected throughout the Bay; implicating fertilizer, rather than domestic sewage, as an important external source of nitrogen to the coastal water around Hanalei. The N:P ratio in the algae compared to the ratio in the Bay waters imply that the Hanalei Bay coastal ecosystem is nitrogen limited and thus, increased nitrogen input may potentially impact this coastal ecosystem and specifically the coral reefs in the Bay. Identifying the major source of nutrient loading to the Bay is important for risk assessment and potential remediation plans.</p></div></div></div></div></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/es0700449","issn":"0013936X","usgsCitation":"Derse, E., Knee, K., Wankel, S.D., Kendall, C., Berg, C.J., and Paytan, A., 2007, Identifying sources of nitrogen to Hanalei Bay, Kauai, utilizing the nitrogen isotope signature of macroalgae: Environmental Science & Technology, v. 41, no. 15, p. 5217-5223, https://doi.org/10.1021/es0700449.","productDescription":"7 p.","startPage":"5217","endPage":"5223","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":238939,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kauai Island, Hanalei Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -159.53350067138672,\n              22.19916683397288\n            ],\n            [\n              -159.48526382446286,\n              22.19916683397288\n            ],\n            [\n              -159.48526382446286,\n              22.234446448737298\n            ],\n            [\n              -159.53350067138672,\n              22.234446448737298\n            ],\n            [\n              -159.53350067138672,\n              22.19916683397288\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"41","issue":"15","noUsgsAuthors":false,"publicationDate":"2007-06-19","publicationStatus":"PW","scienceBaseUri":"505a3856e4b0c8380cd6152b","contributors":{"authors":[{"text":"Derse, E.","contributorId":55637,"corporation":false,"usgs":true,"family":"Derse","given":"E.","email":"","affiliations":[],"preferred":false,"id":429648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knee, K.L.","contributorId":13811,"corporation":false,"usgs":true,"family":"Knee","given":"K.L.","affiliations":[],"preferred":false,"id":429646,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wankel, Scott D.","contributorId":98076,"corporation":false,"usgs":true,"family":"Wankel","given":"Scott","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":429650,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kendall, Carol 0000-0002-0247-3405 ckendall@usgs.gov","orcid":"https://orcid.org/0000-0002-0247-3405","contributorId":1462,"corporation":false,"usgs":true,"family":"Kendall","given":"Carol","email":"ckendall@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":429647,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berg, Carl J. Jr.","contributorId":41091,"corporation":false,"usgs":true,"family":"Berg","given":"Carl","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":429649,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paytan, A.","contributorId":98926,"corporation":false,"usgs":true,"family":"Paytan","given":"A.","affiliations":[],"preferred":false,"id":429651,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70031620,"text":"70031620 - 2007 - Survey of selected pathogens and blood parameters of northern yellowstone elk: Wolf sanitation effect implications","interactions":[],"lastModifiedDate":"2017-09-08T10:25:04","indexId":"70031620","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Survey of selected pathogens and blood parameters of northern yellowstone elk: Wolf sanitation effect implications","docAbstract":"The restoration or conservation of predators could reduce seroprevalences of certain diseases in prey if predation selectively removes animals exhibiting clinical signs. We assessed disease seroprevalences and blood parameters of 115 adult female elk (Cervus elaphus) wintering on the northern range of Yellowstone National Park [YNP] during 2000-2005 and compared them to data collected prior to wolf (Canis lupus) restoration (WR) in 1995 and to two other herds in Montana to assess this prediction. Blood parameters were generally within two standard deviations of the means observed in other Montana herds (Gravelly-Snowcrest [GS] and Garnet Mountain [GM]), but Yellowstone elk had higher seroprevalences of parainfluenza-3 virus (95% CI YNP = 61.1-78.6, GS = 30.3-46.5) and bovine-virus-diarrhea virus type 1 (95% CI YNP = 15.9-31.9, GM = 0). In comparisons between pre-wolf restoration [pre-WR] (i.e., prior to 1995) seroprevalences with those post-wolf restoration [post-WR] in Yellowstone, we found lower seroprevalences for some disease-causing agents post-wolf restoration (e.g., bovine-virus-diarrhea virus type-1 [95% CI pre-WR = 73.1-86.3, post-WR = 15.9-31.9] and bovine-respiratory syncytial virus [95% CI pre-WR = 70.0-83.8, post-WR = 0]), but similar (e.g., Brucella abortus [95% CI pre-WR = 0-4.45, post-WR = 0-4.74] and epizootic hemorrhagic disease virus [95% CI pre-WR = 0, post-WR = 0]) or higher for others (e.g., Anaplasma marginale [95% CI pre-WR = 0, post-WR = 18.5-38.7] and Leptospira spp. [95% CI pre-WR = 0.5-6.5, post-WR = 9.5-23.5]). Though we did not detect an overall strong predation effect through reduced disease seroprevalence using retrospective comparisons with sparse data, our reference values will facilitate future assessments of this issue.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"American Midland Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1674/0003-0031(2007)158[369:SOSPAB]2.0.CO;2","issn":"00030031","usgsCitation":"Barber-Meyer, S., White, P., and Mech, L., 2007, Survey of selected pathogens and blood parameters of northern yellowstone elk: Wolf sanitation effect implications: American Midland Naturalist, v. 158, no. 2, p. 369-381, https://doi.org/10.1674/0003-0031(2007)158[369:SOSPAB]2.0.CO;2.","productDescription":"13 p.","startPage":"369","endPage":"381","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":239902,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":212418,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1674/0003-0031(2007)158[369:SOSPAB]2.0.CO;2"}],"geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.15966796875,\n              43.683763524273346\n            ],\n            [\n              -109.259033203125,\n              43.683763524273346\n            ],\n            [\n              -109.259033203125,\n              45.1510532655634\n            ],\n            [\n              -111.15966796875,\n              45.1510532655634\n            ],\n            [\n              -111.15966796875,\n              43.683763524273346\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"158","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba299e4b08c986b31f800","contributors":{"authors":[{"text":"Barber-Meyer, S. M. 0000-0002-3048-2616","orcid":"https://orcid.org/0000-0002-3048-2616","contributorId":98021,"corporation":false,"usgs":true,"family":"Barber-Meyer","given":"S. M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":432391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, P.J.","contributorId":91436,"corporation":false,"usgs":true,"family":"White","given":"P.J.","affiliations":[],"preferred":false,"id":432390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mech, L.D. 0000-0003-3944-7769","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":75466,"corporation":false,"usgs":false,"family":"Mech","given":"L.D.","email":"","affiliations":[],"preferred":false,"id":432389,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70031019,"text":"70031019 - 2007 - A three-dimensional geophysical model of the crust in the Barents Sea region: Model construction and basement characterization","interactions":[],"lastModifiedDate":"2023-08-02T11:19:43.038204","indexId":"70031019","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"A three-dimensional geophysical model of the crust in the Barents Sea region: Model construction and basement characterization","docAbstract":"<p class=\"chapter-para\">BARENTS50, a new 3-D geophysical model of the crust in the Barents Sea Region has been developed by the University of Oslo, NORSAR and the U.S. Geological Survey. The target region comprises northern Norway and Finland, parts of the Kola Peninsula and the East European lowlands. Novaya Zemlya, the Kara Sea and Franz-Josef Land terminate the region to the east, while the Norwegian-Greenland Sea marks the western boundary. In total, 680 1-D seismic velocity profiles were compiled, mostly by sampling 2-D seismic velocity transects, from seismic refraction profiles. Seismic reflection data in the western Barents Sea were further used for density modelling and subsequent density-to-velocity conversion. Velocities from these profiles were binned into two sedimentary and three crystalline crustal layers. The first step of the compilation comprised the layer-wise interpolation of the velocities and thicknesses. Within the different geological provinces of the study region, linear relationships between the thickness of the sedimentary rocks and the thickness of the remaining crystalline crust are observed. We therefore, used the separately compiled (area-wide) sediment thickness data to adjust the total crystalline crustal thickness according to the total sedimentary thickness where no constraints from 1-D velocity profiles existed. The BARENTS50 model is based on an equidistant hexagonal grid with a node spacing of 50 km. The<span>&nbsp;</span><i>P</i>-wave velocity model was used for gravity modelling to obtain 3-D density structure. A better fit to the observed gravity was achieved using a grid search algorithm which focussed on the density contrast of the sediment-basement interface. An improvement compared to older geophysical models is the high resolution of 50 km. Velocity transects through the 3-D model illustrate geological features of the European Arctic. The possible petrology of the crystalline basement in western and eastern Barents Sea is discussed on the basis of the observed seismic velocity structure. The BARENTS50 model is available at<span>&nbsp;</span><a class=\"link link-uri openInAnotherWindow\" rel=\"noopener\" href=\"http://www.norsar.no/seismology/barents3d/\" target=\"_blank\" data-google-interstitial=\"false\" data-mce-href=\"http://www.norsar.no/seismology/barents3d/\">http://www.norsar.no/seismology/barents3d/</a>.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1111/j.1365-246X.2007.03337.x","issn":"0956540X","usgsCitation":"Ritzmann, O., Maercklin, N., Inge, F.J., Bungum, H., Mooney, W.D., and Detweiler, S.T., 2007, A three-dimensional geophysical model of the crust in the Barents Sea region: Model construction and basement characterization: Geophysical Journal International, v. 170, no. 1, p. 417-435, https://doi.org/10.1111/j.1365-246X.2007.03337.x.","productDescription":"19 p.","startPage":"417","endPage":"435","numberOfPages":"19","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":477049,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-246x.2007.03337.x","text":"Publisher Index Page"},{"id":239005,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              12.872382692554282,\n              78.71895422341294\n            ],\n            [\n              12.872382692554282,\n              67.30598227239312\n            ],\n            [\n              61.32497045420811,\n              67.30598227239312\n            ],\n            [\n              61.32497045420811,\n              78.71895422341294\n            ],\n            [\n              12.872382692554282,\n              78.71895422341294\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"170","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e5fde4b0c8380cd470a6","contributors":{"authors":[{"text":"Ritzmann, O.","contributorId":48386,"corporation":false,"usgs":true,"family":"Ritzmann","given":"O.","email":"","affiliations":[],"preferred":false,"id":429657,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maercklin, N.","contributorId":81302,"corporation":false,"usgs":true,"family":"Maercklin","given":"N.","email":"","affiliations":[],"preferred":false,"id":429661,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Inge, Faleide J.","contributorId":58839,"corporation":false,"usgs":true,"family":"Inge","given":"Faleide","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":429659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bungum, H.","contributorId":94095,"corporation":false,"usgs":true,"family":"Bungum","given":"H.","email":"","affiliations":[],"preferred":false,"id":429662,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mooney, Walter D. 0000-0002-5310-3631 mooney@usgs.gov","orcid":"https://orcid.org/0000-0002-5310-3631","contributorId":3194,"corporation":false,"usgs":true,"family":"Mooney","given":"Walter","email":"mooney@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":429660,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Detweiler, Shane T. 0000-0001-5699-011X shane@usgs.gov","orcid":"https://orcid.org/0000-0001-5699-011X","contributorId":680,"corporation":false,"usgs":true,"family":"Detweiler","given":"Shane","email":"shane@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":429658,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70031279,"text":"70031279 - 2007 - Reconstructing late Cenozoic stream gradients from high-level chert gravels in central Eastern Kansas","interactions":[],"lastModifiedDate":"2012-03-12T17:21:12","indexId":"70031279","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1358,"text":"Current Research in Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Reconstructing late Cenozoic stream gradients from high-level chert gravels in central Eastern Kansas","docAbstract":"Interpreting the evolution of Kansas' landscape east of the Flint Hills provides major challenges. In the Neogene (late Tertiary) and perhaps part of the Pleistocene, streams transported a variety of sedimentary materials, including chert gravels derived from the Flint Hills. Gentle intermittent uplift stimulated the system system to cut down, locally removing and reworking the gravels to create stream-terrace deposits that consist mostly of chert pebbles, which now lie well above the floodplains of modern streams. By correlating the elevations of these gravels, the gradients of the trunk streams that deposited them can be reconstructed. Interestingly, these ancient streams flowed southeast at a little more than a foot per mile (0.2 m/km), roughly the same as the gradient of the trunk streams in the region today. The evolving landscape in eastern Kansas also has been strongly influenced by an extensive network of fractures that is widespread in the midcontinent region and may be worldwide in extent. In northeastern Kansas, glaciation during the Pleistocene disrupted the southeasterly drainage and established the present location of the Kansas River. South of the Kansas River and its immediate tributaries, however, the general southeasterly drainage has been preserved. We have made use of the wealth of topographic-elevation data now available in digital form known as DEMs or digital elevation models. Coupled with GIS procedures, the DEMs helped link the mapped distribution of chert gravels with hypothetical fitted surfaces that represent ancient stream gradients. Furthermore, DEM data placed in shaded-relief map form emphasize the influence of fractures in evolution of the drainage system.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Current Research in Earth Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","usgsCitation":"Harbaugh, J., Merriam, D.F., and Howard, H., 2007, Reconstructing late Cenozoic stream gradients from high-level chert gravels in central Eastern Kansas: Current Research in Earth Sciences, v. 253, no. 2.","costCenters":[],"links":[{"id":240018,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"253","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4a24fe4b0e8fec6cdb56b","contributors":{"authors":[{"text":"Harbaugh, J.W.","contributorId":43912,"corporation":false,"usgs":true,"family":"Harbaugh","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":430870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merriam, D. F.","contributorId":63175,"corporation":false,"usgs":true,"family":"Merriam","given":"D.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":430871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howard, H.H.","contributorId":74256,"corporation":false,"usgs":true,"family":"Howard","given":"H.H.","email":"","affiliations":[],"preferred":false,"id":430872,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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