{"pageNumber":"803","pageRowStart":"20050","pageSize":"25","recordCount":46883,"records":[{"id":70003929,"text":"70003929 - 2008 - Environmental occurrence and shallow ground water detection of the antibiotic monensin from dairy farms","interactions":[],"lastModifiedDate":"2017-01-17T11:08:39","indexId":"70003929","displayToPublicDate":"2011-10-29T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Environmental occurrence and shallow ground water detection of the antibiotic monensin from dairy farms","docAbstract":"Pharmaceuticals used in animal feeding operations have been detected in various environmental settings. There is a growing concern about the impact on terrestrial and aquatic organisms and the development of antibiotic-resistant strains of microorganisms. Pharmaceutical use in milking cows is relatively limited compared with other livestock operations, except for the ionophore monensin, which is given to lactating cows as a feed. By weight, monensin can be the most significant antibiotic used in a dairy farm. This study investigates the potential of monensin to move from dairy operations into the surrounding ground water. Using two dairy farms in California as study sites, we twice collected samples along the environmental pathway-from flush lanes, lagoon waters, and shallow ground water beneath the dairies and beneath its associated manured fields. Monensin concentrations were determined using solid-phase extraction and liquid chromatography-tandem mass spectrometry with positive electrospray ionization. Monensin was detected in all of the flush lane and lagoon water samples. Theoretical maximum concentration estimated from the actual dosing rate and the theoretical excretion rate assuming no attenuation was one order of magnitude greater than observed concentrations, suggesting significant attenuation in the manure collection and storage system. Monensin was also detected, at levels ranging from 0.04 to 0.39 microg L(-1), in some of the ground water samples underneath the production area of the dairy but not from the adjacent manured fields. Concentrations in ground water immediately downgradient of the lagoons were one to two orders of magnitude lower than the concentrations detected in lagoons, suggesting attenuation in the subsurface. The data suggest the possibility of monensin transport into shallow (2-5 m) alluvial ground water from dairy management units, including manure storage lagoons and freestalls occupied by heifers, lactating cows, and dry cows.","language":"English","publisher":"ACSESS","doi":"10.2134/jeq2007.0371","usgsCitation":"Watanabe, N., Harter, T., and Bergamaschi, B., 2008, Environmental occurrence and shallow ground water detection of the antibiotic monensin from dairy farms: Journal of Environmental Quality, v. 37, no. 5 (Supplement), p. S78-S85, https://doi.org/10.2134/jeq2007.0371.","productDescription":"8 p.","startPage":"S78","endPage":"S85","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":204404,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"5 (Supplement)","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db6024fc","contributors":{"authors":[{"text":"Watanabe, N.","contributorId":47078,"corporation":false,"usgs":true,"family":"Watanabe","given":"N.","email":"","affiliations":[],"preferred":false,"id":349558,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harter, T.H.","contributorId":58770,"corporation":false,"usgs":true,"family":"Harter","given":"T.H.","email":"","affiliations":[],"preferred":false,"id":349559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bergamaschi, B.A. 0000-0002-9610-5581","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":22401,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"B.A.","affiliations":[],"preferred":false,"id":349557,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70004021,"text":"70004021 - 2008 - Assessing contribution of DOC from sediments to a drinking-water reservoir using optical profiling","interactions":[],"lastModifiedDate":"2017-01-17T11:32:39","indexId":"70004021","displayToPublicDate":"2011-08-01T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Assessing contribution of DOC from sediments to a drinking-water reservoir using optical profiling","docAbstract":"Understanding the sources of dissolved organic carbon (DOC) in drinking-water reservoirs is an important management issue because DOC may form disinfection by-products, interfere with disinfection, or increase treatment costs. DOC may be derived from a host of sources-algal production of DOC in the reservoir, marginal production of DOC from mucks and vascular plants at the margins, and sediments in the reservoir. The purpose of this study was to assess if release of DOC from reservoir sediments containing ferric chloride coagulant was a significant source of DOC to the reservoir. We examined the source-specific contributions of DOC using a profiling system to measure the in situ distribution of optical properties of absorption and fluorescence at various locations in the reservoir. Vertical optical profiles were coupled with discrete water samples measured in the laboratory for DOC concentration and optical properties: absorption spectra and excitation emission matrix spectra (EEMs). Modeling the in situ optical data permitted estimation of the bulk DOC profile in the reservoir as well as separation into source-specific contributions. Analysis of the source-specific profiles and their associated optical characteristics indicated that the sedimentary source of DOC to the reservoir is significant and that this DOC is labile in the reservoir. We conclude that optical profiling is a useful technique for understanding complex biogeochemical processes in a reservoir.","language":"English","publisher":"Taylor and Francis","publisherLocation":"New York, NY","doi":"10.1080/07438140809354848","usgsCitation":"Downing, B.D., Bergamaschi, B., Evans, D.G., and Boss, E., 2008, Assessing contribution of DOC from sediments to a drinking-water reservoir using optical profiling: Lake and Reservoir Management, v. 24, no. 4, p. 381-391, https://doi.org/10.1080/07438140809354848.","productDescription":"11 p.","startPage":"381","endPage":"391","numberOfPages":"11","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":203859,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672b0c","contributors":{"authors":[{"text":"Downing, Bryan D. 0000-0002-2007-5304 bdowning@usgs.gov","orcid":"https://orcid.org/0000-0002-2007-5304","contributorId":1449,"corporation":false,"usgs":true,"family":"Downing","given":"Bryan","email":"bdowning@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":73241,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian A.","affiliations":[],"preferred":false,"id":350181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evans, David G.","contributorId":80787,"corporation":false,"usgs":true,"family":"Evans","given":"David","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":350182,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boss, Emmanuel","contributorId":10143,"corporation":false,"usgs":true,"family":"Boss","given":"Emmanuel","affiliations":[],"preferred":false,"id":350180,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003720,"text":"70003720 - 2008 - Cartography for lunar exploration: 2008 status and mission plans","interactions":[],"lastModifiedDate":"2018-12-12T15:43:48","indexId":"70003720","displayToPublicDate":"2011-06-17T13:50:03","publicationYear":"2008","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"seriesTitle":{"id":5650,"text":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","onlineIssn":"2194-9034","printIssn":"1682-1750","active":true,"publicationSubtype":{"id":19}},"title":"Cartography for lunar exploration: 2008 status and mission plans","docAbstract":"The initial spacecraft exploration of the Moon in the 1960s-70s yielded extensive data, primarily in the form of film and television images, which were used to produce a large number of hardcopy maps by conventional techniques. A second era of exploration, beginning in the early 1990s, has produced digital data including global multispectral imagery and altimetry, from which a new generation of digital map products tied to a rapidly evolving global control network has been made. Efforts are also underway to scan the earlier hardcopy maps for online distribution and to digitize the film images so that modern processing techniques can be used to make high-resolution digital terrain models (DTMs) and image mosaics consistent with the current global control. The pace of lunar exploration is accelerating dramatically, with as many as eight new missions already launched or planned for the current decade. These missions, of which the most important for cartography are SMART-1 (Europe), Kaguya/SELENE (Japan), Chang'e-1 (China), Chandrayaan-1 (India), and Lunar Reconnaissance Orbiter (USA), will return a volume of data exceeding that of all previous lunar and planetary missions combined. Framing and scanner camera images, including multispectral and stereo data, hyperspectral images, synthetic aperture radar (SAR) images, and laser altimetry will all be collected, including, in most cases, multiple data sets of each type. Substantial advances in international standardization and cooperation, development of new and more efficient data processing methods, and availability of resources for processing and archiving will all be needed if the next generation of missions are to fulfill their potential for high-precision mapping of the Moon in support of subsequent exploration and scientific investigation.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings: XXIst ISPRS Congress, Technical Commission IV ","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"XXIst ISPRS Congress Technical Commission IV ","conferenceDate":"July 3-11, 2008","conferenceLocation":"Beijing, China","language":"English","publisher":"The International Society for Photogrammetry and Remote Sensing","publisherLocation":"Beijing, China","usgsCitation":"Kirk, R.L., Archinal, B.A., Gaddis, L.R., and Rosiek, M.R., 2008, Cartography for lunar exploration: 2008 status and mission plans, <i>in</i> Proceedings: XXIst ISPRS Congress, Technical Commission IV , v. 37, no. B4, Beijing, China, July 3-11, 2008, p. 1473-1490.","productDescription":"18 p.","startPage":"1473","endPage":"1490","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":352495,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://www.isprs.org/proceedings/XXXVII/congress/tc4.aspx"},{"id":203811,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":21892,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://www.isprs.org/proceedings/XXXVII/congress/4_pdf/259.pdf","linkFileType":{"id":1,"text":"pdf"}}],"otherGeospatial":"Moon","volume":"37","issue":"B4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f3e4b07f02db5ef8c7","contributors":{"editors":[{"text":"Chen, Jun","contributorId":47641,"corporation":false,"usgs":false,"family":"Chen","given":"Jun","email":"","affiliations":[],"preferred":false,"id":731060,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Jiang, Jie","contributorId":66116,"corporation":false,"usgs":false,"family":"Jiang","given":"Jie","email":"","affiliations":[],"preferred":false,"id":731061,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Nayak, Shailesh","contributorId":198415,"corporation":false,"usgs":false,"family":"Nayak","given":"Shailesh","email":"","affiliations":[],"preferred":false,"id":731062,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":348515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Archinal, Brent A. 0000-0002-6654-0742 barchinal@usgs.gov","orcid":"https://orcid.org/0000-0002-6654-0742","contributorId":2816,"corporation":false,"usgs":true,"family":"Archinal","given":"Brent","email":"barchinal@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":348513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gaddis, Lisa R. 0000-0001-9953-5483 lgaddis@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-5483","contributorId":2817,"corporation":false,"usgs":true,"family":"Gaddis","given":"Lisa","email":"lgaddis@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":348514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosiek, Mark R. mrosiek@usgs.gov","contributorId":824,"corporation":false,"usgs":true,"family":"Rosiek","given":"Mark","email":"mrosiek@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":348512,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98821,"text":"ofr20071429 - 2008 - Suspended-sediment and nutrient loads for Waiakea and Alenaio Streams, Hilo, Hawaii, 2003-2006","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"ofr20071429","displayToPublicDate":"2010-10-20T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2007-1429","title":"Suspended-sediment and nutrient loads for Waiakea and Alenaio Streams, Hilo, Hawaii, 2003-2006","docAbstract":"Suspended sediment and nutrient samples were collected during wet-weather conditions at three sites on two ephemeral streams in the vicinity of Hilo, Hawaii during March 2004 to March 2006. Two sites were sampled on Waiakea Stream at 80- and 860-foot altitudes during March 2004 to August 2005. One site was sampled on Alenaio Stream at 10-foot altitude during November 2005 to March 2006. The sites were selected to represent different land uses and land covers in the area. Most of the drainage area above the upper Waiakea Stream site is conservation land. The drainage areas above the lower site on Waiakea Stream, and the site on Alenaio Stream, are a combination of conservation land, agriculture, rural, and urban land uses.\r\n\r\nIn addition to the sampling, continuous-record streamflow sites were established at the three sampling sites, as well as an additional site on Alenaio Stream at altitude of 75 feet and 0.47 miles upstream from the sampling site. Stage was measured continuously at 15-minute intervals at these sites. Discharge, for any particular instant, or for selected periods of time, were computed based on a stage-discharge relation determined from individual discharge measurements. Continuous records of discharge were computed at the two sites on Waiakea Stream and the upper site on Aleniao Stream. Due to non-ideal hydraulic conditions within the channel of Alenaio Stream, a continuous record of discharge was not computed at the lower site on Alenaio Stream where samples were taken.\r\n\r\nSamples were analyzed for suspended sediment, and the nutrients total nitrogen, dissolved nitrite plus nitrate, and total phosphorus. Concentration data were converted to instantaneous load values: loads are the product of discharge and concentration, and are presented as tons per day for suspended sediment or pounds per day for nutrients. Daily-mean loads were computed by estimating concentrations relative to discharge using graphical constituent loading analysis techniques. Daily-mean loads were computed at the two Waiakea Stream sampling sites for the analyzed constituents, during the period October 1, 2003 to September 30, 2005. No record of daily-mean load was computed for the Alenaio Stream sampling site due to the problems with computing a discharge record.\r\n\r\nThe maximum daily-mean loads for the upper site on Waiakea Stream for suspended sediment was 79 tons per day, and the maximum daily-mean loads for total nitrogen, dissolved nitrite plus nitrate, and total phosphorus were 1,350, 13, and 300 pounds per day, respectively. The maximum daily-mean loads for the lower site on Waiakea Stream for suspended sediment was 468 tons per day, and the maximum daily-mean loads for total nitrogen, nitrite plus nitrate, and total phosphorus were 913, 8.5, and 176 pounds per day, respectively. From the estimated continuous daily-mean load record, all of the maximum daily-mean loads occurred during October 2003 and September 2004, except for suspended sediment load for the lower site, which occurred on September 15, 2005. Maximum values were not all caused by a single storm event. Overall, the record of daily-mean loads showed lower loads during storm events for suspended sediments and nutrients at the downstream site of Waiakea Stream during 2004 than at the upstream site. During 2005, however, the suspended sediment loads were higher at the downstream site than the upstream site. Construction of a flood control channel between the two sites in 2005 may have contributed to the change in relative suspended-sediment loads. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20071429","collaboration":"Prepared in cooperation with the State of Hawaii Department of Health","usgsCitation":"Presley, T.K., Jamison, M.T., and Nishimoto, D.C., 2008, Suspended-sediment and nutrient loads for Waiakea and Alenaio Streams, Hilo, Hawaii, 2003-2006: U.S. Geological Survey Open-File Report 2007-1429, vii, 72 p.; Appendix, https://doi.org/10.3133/ofr20071429.","productDescription":"vii, 72 p.; Appendix","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2003-10-01","temporalEnd":"2006-03-31","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":126085,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2007_1429.jpg"},{"id":14235,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2007/1429/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.4011111111111,19.533611111111114 ], [ -155.4011111111111,19.783611111111114 ], [ -155.0336111111111,19.783611111111114 ], [ -155.0336111111111,19.533611111111114 ], [ -155.4011111111111,19.533611111111114 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48cee4b07f02db5455cb","contributors":{"authors":[{"text":"Presley, Todd K. 0000-0001-5851-0634 tkpresle@usgs.gov","orcid":"https://orcid.org/0000-0001-5851-0634","contributorId":2671,"corporation":false,"usgs":true,"family":"Presley","given":"Todd","email":"tkpresle@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":306608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jamison, Marcael T. J.","contributorId":6817,"corporation":false,"usgs":true,"family":"Jamison","given":"Marcael","email":"","middleInitial":"T. J.","affiliations":[],"preferred":false,"id":306609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nishimoto, Dale C.","contributorId":13195,"corporation":false,"usgs":true,"family":"Nishimoto","given":"Dale","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":306610,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70000106,"text":"70000106 - 2008 - Tracing the first steps of American sturgeon pioneers in Europe","interactions":[],"lastModifiedDate":"2012-03-08T17:16:33","indexId":"70000106","displayToPublicDate":"2010-09-28T23:11:19","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":955,"text":"BMC Evolutionary Biology","active":true,"publicationSubtype":{"id":10}},"title":"Tracing the first steps of American sturgeon pioneers in Europe","docAbstract":"Background. A Baltic population of Atlantic sturgeon was founded ???1,200 years ago by migrants from North America, but after centuries of persistence, the population was extirpated in the 1960s, mainly as a result of over-harvest and habitat alterations. As there are four genetically distinct groups of Atlantic sturgeon inhabiting North American rivers today, we investigated the genetic provenance of the historic Baltic population by ancient DNA analyses using mitochondrial and nuclear markers. Results. The phylogeographic signal obtained from multilocus microsatellite DNA genotypes and mitochondrial DNA control region haplotypes, when compared to existing baseline datasets from extant populations, allowed for the identification of the region-of-origin of the North American Atlantic sturgeon founders. Moreover, statistical and simulation analyses of the multilocus genotypes allowed for the calculation of the effective number of individuals that originally founded the European population of Atlantic sturgeon. Our findings suggest that the Baltic population of A. oxyrinchus descended from a relatively small number of founders originating from the northern extent of the species' range in North America. Conclusion. These results demonstrate that the most northerly distributed North American A. oxyrinchus colonized the Baltic Sea ???1,200 years ago, suggesting that Canadian specimens should be the primary source of broodstock used for restoration in Baltic rivers. This study illustrates the great potential of patterns obtained from ancient DNA to identify population-of-origin to investigate historic genotype structure of extinct populations. ?? 2008 Ludwig et al; licensee BioMed Central Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"BMC Evolutionary Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1186/1471-2148-8-221","issn":"14712148","usgsCitation":"Ludwig, A., Arndt, U., Lippold, S., Benecke, N., Debus, L., King, T., and Matsumura, S., 2008, Tracing the first steps of American sturgeon pioneers in Europe: BMC Evolutionary Biology, v. 8, no. 1, https://doi.org/10.1186/1471-2148-8-221.","costCenters":[],"links":[{"id":476472,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/1471-2148-8-221","text":"Publisher Index Page"},{"id":199975,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18672,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1186/1471-2148-8-221"}],"volume":"8","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4de4b07f02db627179","contributors":{"authors":[{"text":"Ludwig, A.","contributorId":98427,"corporation":false,"usgs":true,"family":"Ludwig","given":"A.","affiliations":[],"preferred":false,"id":344888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arndt, U.","contributorId":102605,"corporation":false,"usgs":true,"family":"Arndt","given":"U.","email":"","affiliations":[],"preferred":false,"id":344889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lippold, S.","contributorId":104188,"corporation":false,"usgs":true,"family":"Lippold","given":"S.","email":"","affiliations":[],"preferred":false,"id":344890,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Benecke, N.","contributorId":41558,"corporation":false,"usgs":true,"family":"Benecke","given":"N.","email":"","affiliations":[],"preferred":false,"id":344885,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Debus, L.","contributorId":33812,"corporation":false,"usgs":true,"family":"Debus","given":"L.","email":"","affiliations":[],"preferred":false,"id":344884,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"King, T.L.","contributorId":93416,"corporation":false,"usgs":true,"family":"King","given":"T.L.","email":"","affiliations":[],"preferred":false,"id":344887,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Matsumura, S.","contributorId":53062,"corporation":false,"usgs":true,"family":"Matsumura","given":"S.","email":"","affiliations":[],"preferred":false,"id":344886,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70000018,"text":"70000018 - 2008 - Nodal failure index approach to groundwater remediation design","interactions":[],"lastModifiedDate":"2012-03-08T17:16:34","indexId":"70000018","displayToPublicDate":"2010-09-28T23:11:19","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2327,"text":"Journal of Geotechnical and Geoenvironmental Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Nodal failure index approach to groundwater remediation design","docAbstract":"Computer simulations often are used to design and to optimize groundwater remediation systems. We present a new computationally efficient approach that calculates the reliability of remedial design at every location in a model domain with a single simulation. The estimated reliability and other model information are used to select a best remedial option for given site conditions, conceptual model, and available data. To evaluate design performance, we introduce the nodal failure index (NFI) to determine the number of nodal locations at which the probability of success is below the design requirement. The strength of the NFI approach is that selected areas of interest can be specified for analysis and the best remedial design determined for this target region. An example application of the NFI approach using a hypothetical model shows how the spatial distribution of reliability can be used for a decision support system in groundwater remediation design. ?? 2008 ASCE.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geotechnical and Geoenvironmental Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1061/(ASCE)1090-0241(2008)134:10(1554)","issn":"10900241","usgsCitation":"Lee, J., Reeves, H.W., and Dowding, C., 2008, Nodal failure index approach to groundwater remediation design: Journal of Geotechnical and Geoenvironmental Engineering, v. 134, no. 10, p. 1554-1557, https://doi.org/10.1061/(ASCE)1090-0241(2008)134:10(1554).","startPage":"1554","endPage":"1557","costCenters":[],"links":[{"id":18629,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)1090-0241(2008)134:10(1554)"},{"id":203541,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"134","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1be4b07f02db6a89cf","contributors":{"authors":[{"text":"Lee, J.","contributorId":58596,"corporation":false,"usgs":true,"family":"Lee","given":"J.","affiliations":[],"preferred":false,"id":344692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reeves, H. W.","contributorId":53739,"corporation":false,"usgs":true,"family":"Reeves","given":"H.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":344691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dowding, C.H.","contributorId":89647,"corporation":false,"usgs":true,"family":"Dowding","given":"C.H.","email":"","affiliations":[],"preferred":false,"id":344693,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70000040,"text":"70000040 - 2008 - Coupled semivariogram uncertainty of hydrogeological and geophysical data on capture zone uncertainty analysis","interactions":[],"lastModifiedDate":"2012-03-08T17:16:35","indexId":"70000040","displayToPublicDate":"2010-09-28T23:11:19","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2341,"text":"Journal of Hydrologic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Coupled semivariogram uncertainty of hydrogeological and geophysical data on capture zone uncertainty analysis","docAbstract":"This study investigates capture zone uncertainty that relates to the coupled semivariogram uncertainty of hydrogeological and geophysical data. Semivariogram uncertainty is represented by the uncertainty in structural parameters (range, sill, and nugget). We used the beta distribution function to derive the prior distributions of structural parameters. The probability distributions of structural parameters were further updated through the Bayesian approach with the Gaussian likelihood functions. Cokriging of noncollocated pumping test data and electrical resistivity data was conducted to better estimate hydraulic conductivity through autosemivariograms and pseudo-cross-semivariogram. Sensitivities of capture zone variability with respect to the spatial variability of hydraulic conductivity, porosity and aquifer thickness were analyzed using ANOVA. The proposed methodology was applied to the analysis of capture zone uncertainty at the Chicot aquifer in Southwestern Louisiana, where a regional groundwater flow model was developed. MODFLOW-MODPATH was adopted to delineate the capture zone. The ANOVA results showed that both capture zone area and compactness were sensitive to hydraulic conductivity variation. We concluded that the capture zone uncertainty due to the semivariogram uncertainty is much higher than that due to the kriging uncertainty for given semivariograms. In other words, the sole use of conditional variances of kriging may greatly underestimate the flow response uncertainty. Semivariogram uncertainty should also be taken into account in the uncertainty analysis. ?? 2008 ASCE.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrologic Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1061/(ASCE)1084-0699(2008)13:10(915)","issn":"10840699","usgsCitation":"Rahman, A., Tsai, F., White, C., and Willson, C.S., 2008, Coupled semivariogram uncertainty of hydrogeological and geophysical data on capture zone uncertainty analysis: Journal of Hydrologic Engineering, v. 13, no. 10, p. 915-925, https://doi.org/10.1061/(ASCE)1084-0699(2008)13:10(915).","startPage":"915","endPage":"925","costCenters":[],"links":[{"id":203393,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18643,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)1084-0699(2008)13:10(915)"}],"volume":"13","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b00e4b07f02db698385","contributors":{"authors":[{"text":"Rahman, A.","contributorId":93171,"corporation":false,"usgs":true,"family":"Rahman","given":"A.","email":"","affiliations":[],"preferred":false,"id":344751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tsai, F.T.-C.","contributorId":28343,"corporation":false,"usgs":true,"family":"Tsai","given":"F.T.-C.","email":"","affiliations":[],"preferred":false,"id":344748,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"White, C.D.","contributorId":46664,"corporation":false,"usgs":true,"family":"White","given":"C.D.","email":"","affiliations":[],"preferred":false,"id":344749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Willson, C. S.","contributorId":90440,"corporation":false,"usgs":false,"family":"Willson","given":"C.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":344750,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70000105,"text":"70000105 - 2008 - Estimated home ranges can misrepresent habitat relationships on patchy landscapes","interactions":[],"lastModifiedDate":"2012-03-08T17:16:33","indexId":"70000105","displayToPublicDate":"2010-09-28T23:11:19","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Estimated home ranges can misrepresent habitat relationships on patchy landscapes","docAbstract":"Home ranges of animals are generally structured by the selective use of resource-bearing patches that comprise habitat. Based on this concept, home ranges of animals estimated from location data are commonly used to infer habitat relationships. Because home ranges estimated from animal locations are largely continuous in space, the resource-bearing patches selected by an animal from a fragmented distribution of patches would be difficult to discern; unselected patches included in the home range estimate would bias an understanding of important habitat relationships. To evaluate potential for this bias, we generated simulated home ranges based on optimal selection of resource-bearing patches across a series of simulated resource distributions that varied in the spatial continuity of resources. For simulated home ranges where selected patches were spatially disjunct, we included interstitial, unselected cells most likely to be traveled by an animal moving among selected patches. We compared characteristics of the simulated home ranges with and without interstitial patches to evaluate how insights derived from field estimates can differ from actual characteristics of home ranges, depending on patchiness of landscapes. Our results showed that contiguous home range estimates could lead to misleading insights on the quality, size, resource content, and efficiency of home ranges, proportional to the spatial discontinuity of resource-bearing patches. We conclude the potential bias of including unselected, largely irrelevant patches in the field estimates of home ranges of animals can be high, particularly for home range estimators that assume uniform use of space within home range boundaries. Thus, inferences about the habitat relationships that ultimately define an animal's home range can be misleading where animals occupy landscapes with patchily distributed resources.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Modelling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.ecolmodel.2008.05.001","issn":"03043800","usgsCitation":"Mitchell, M., and Powell, R.A., 2008, Estimated home ranges can misrepresent habitat relationships on patchy landscapes: Ecological Modelling, v. 216, no. 3-4, p. 409-414, https://doi.org/10.1016/j.ecolmodel.2008.05.001.","startPage":"409","endPage":"414","costCenters":[],"links":[{"id":199480,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18671,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2008.05.001"}],"volume":"216","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e478fe4b07f02db48a4b0","contributors":{"authors":[{"text":"Mitchell, M.S.","contributorId":26724,"corporation":false,"usgs":true,"family":"Mitchell","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":344882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powell, R. A.","contributorId":41789,"corporation":false,"usgs":true,"family":"Powell","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":344883,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70000554,"text":"70000554 - 2008 - Ground-motion prediction equations for the average horizontal component of PGA, PGV, and 5%-damped PSA at spectral periods between 0.01 s and 10.0 s","interactions":[],"lastModifiedDate":"2012-03-08T17:16:38","indexId":"70000554","displayToPublicDate":"2010-09-28T23:09:30","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Ground-motion prediction equations for the average horizontal component of PGA, PGV, and 5%-damped PSA at spectral periods between 0.01 s and 10.0 s","docAbstract":"This paper contains ground-motion prediction equations (GMPEs) for average horizontal-component ground motions as a function of earthquake magnitude, distance from source to site, local average shear-wave velocity, and fault type. Our equations are for peak ground acceleration (PGA), peak ground velocity (PGV), and 5%-damped pseudo-absolute-acceleration spectra (PSA) at periods between 0.01 s and 10 s. They were derived by empirical regression of an extensive strong-motion database compiled by the 'PEER NGA' (Pacific Earthquake Engineering Research Center's Next Generation Attenuation) project. For periods less than 1 s, the analysis used 1,574 records from 58 mainshocks in the distance range from 0 km to 400 km (the number of available data decreased as period increased). The primary predictor variables are moment magnitude (M), closest horizontal distance to the surface projection of the fault plane (RJB), and the time-averaged shear-wave velocity from the surface to 30 m (VS30). The equations are applicable for M=5-8, RJB<200 km, and VS30= 180-1300 m/s. ?? 2008, Earthquake Engineering Research Institute.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earthquake Spectra","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1193/1.2830434","issn":"87552930","usgsCitation":"Boore, D., and Atkinson, G.M., 2008, Ground-motion prediction equations for the average horizontal component of PGA, PGV, and 5%-damped PSA at spectral periods between 0.01 s and 10.0 s: Earthquake Spectra, v. 24, no. 1, p. 99-138, https://doi.org/10.1193/1.2830434.","startPage":"99","endPage":"138","costCenters":[],"links":[{"id":203587,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18948,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1193/1.2830434"}],"volume":"24","issue":"1","noUsgsAuthors":false,"publicationDate":"2008-02-01","publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d477","contributors":{"authors":[{"text":"Boore, D.M. 0000-0002-8605-9673","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":64226,"corporation":false,"usgs":true,"family":"Boore","given":"D.M.","affiliations":[],"preferred":false,"id":346313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atkinson, G. M.","contributorId":69283,"corporation":false,"usgs":true,"family":"Atkinson","given":"G.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":346314,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70000556,"text":"70000556 - 2008 - Maximum spectral demands in the near-fault region","interactions":[],"lastModifiedDate":"2012-03-08T17:16:38","indexId":"70000556","displayToPublicDate":"2010-09-28T23:09:28","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Maximum spectral demands in the near-fault region","docAbstract":"The Next Generation Attenuation (NGA) relationships for shallow crustal earthquakes in the western United States predict a rotated geometric mean of horizontal spectral demand, termed GMRotI50, and not maximum spectral demand. Differences between strike-normal, strike-parallel, geometric-mean, and maximum spectral demands in the near-fault region are investigated using 147 pairs of records selected from the NGA strong motion database. The selected records are for earthquakes with moment magnitude greater than 6.5 and for closest site-to-fault distance less than 15 km. Ratios of maximum spectral demand to NGA-predicted GMRotI50 for each pair of ground motions are presented. The ratio shows a clear dependence on period and the Somerville directivity parameters. Maximum demands can substantially exceed NGA-predicted GMRotI50 demands in the near-fault region, which has significant implications for seismic design, seismic performance assessment, and the next-generation seismic design maps. Strike-normal spectral demands are a significantly unconservative surrogate for maximum spectral demands for closest distance greater than 3 to 5 km. Scale factors that transform NGA-predicted GMRotI50 to a maximum spectral demand in the near-fault region are proposed. ?? 2008, Earthquake Engineering Research Institute.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earthquake Spectra","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1193/1.2830435","issn":"87552930","usgsCitation":"Huang, Y., Whittaker, A., and Luco, N., 2008, Maximum spectral demands in the near-fault region: Earthquake Spectra, v. 24, no. 1, p. 319-341, https://doi.org/10.1193/1.2830435.","startPage":"319","endPage":"341","costCenters":[],"links":[{"id":18950,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1193/1.2830435"},{"id":203552,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"1","noUsgsAuthors":false,"publicationDate":"2008-02-01","publicationStatus":"PW","scienceBaseUri":"4f4e4a27e4b07f02db61018b","contributors":{"authors":[{"text":"Huang, Y.-N.","contributorId":98860,"corporation":false,"usgs":true,"family":"Huang","given":"Y.-N.","email":"","affiliations":[],"preferred":false,"id":346320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whittaker, A.S.","contributorId":8596,"corporation":false,"usgs":true,"family":"Whittaker","given":"A.S.","email":"","affiliations":[],"preferred":false,"id":346318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luco, N.","contributorId":34240,"corporation":false,"usgs":true,"family":"Luco","given":"N.","email":"","affiliations":[],"preferred":false,"id":346319,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70000538,"text":"70000538 - 2008 - ShakeCast: Automating and improving the use of shakemap for post-earthquake deeision-making and response","interactions":[],"lastModifiedDate":"2012-03-08T17:16:37","indexId":"70000538","displayToPublicDate":"2010-09-28T23:09:28","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"ShakeCast: Automating and improving the use of shakemap for post-earthquake deeision-making and response","docAbstract":"When a potentially damaging earthquake occurs, utility and other lifeline managers, emergency responders, and other critical users have an urgent need for information about the impact on their particular facilities so they can make appropriate decisions and take quick actions to ensure safety and restore system functionality. ShakeMap, a tool used to portray the extent of potentially damaging shaking following an earthquake, on its own can be useful for emergency response, loss estimation, and public information. However, to take full advantage of the potential of ShakeMap, we introduce ShakeCast. ShakeCast facilitates the complicated assessment of potential damage to a user's widely distributed facilities by comparing the complex shaking distribution with the potentially highly variable damageability of their inventory to provide a simple, hierarchical list and maps of structures or facilities most likely impacted. ShakeCast is a freely available, post-earthquake situational awareness application that automatically retrieves earthquake shaking data from ShakeMap, compares intensity measures against users' facilities, sends notifications of potential damage to responsible parties, and generates facility damage maps and other Web-based products for both public and private emergency managers and responders. ?? 2008, Earthquake Engineering Research Institute.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earthquake Spectra","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1193/1.2923924","issn":"87552930","usgsCitation":"Wald, D., Lin, K., Porter, K., and Turner, L., 2008, ShakeCast: Automating and improving the use of shakemap for post-earthquake deeision-making and response: Earthquake Spectra, v. 24, no. 2, p. 533-553, https://doi.org/10.1193/1.2923924.","startPage":"533","endPage":"553","costCenters":[],"links":[{"id":203328,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18936,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1193/1.2923924"}],"volume":"24","issue":"2","noUsgsAuthors":false,"publicationDate":"2008-05-01","publicationStatus":"PW","scienceBaseUri":"4f4e49fae4b07f02db5f42dd","contributors":{"authors":[{"text":"Wald, D. 0000-0002-1454-4514","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":37866,"corporation":false,"usgs":true,"family":"Wald","given":"D.","affiliations":[],"preferred":false,"id":346241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lin, K.-W.","contributorId":64775,"corporation":false,"usgs":true,"family":"Lin","given":"K.-W.","email":"","affiliations":[],"preferred":false,"id":346242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Porter, K.","contributorId":14930,"corporation":false,"usgs":true,"family":"Porter","given":"K.","email":"","affiliations":[],"preferred":false,"id":346239,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turner, Loren","contributorId":26408,"corporation":false,"usgs":true,"family":"Turner","given":"Loren","email":"","affiliations":[],"preferred":false,"id":346240,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70000543,"text":"70000543 - 2008 - Variational analysis of drifter positions and model outputs for the reconstruction of surface currents in the central Adriatic during fall 2002","interactions":[],"lastModifiedDate":"2012-03-08T17:16:33","indexId":"70000543","displayToPublicDate":"2010-09-28T23:09:28","publicationYear":"2008","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":"Variational analysis of drifter positions and model outputs for the reconstruction of surface currents in the central Adriatic during fall 2002","docAbstract":"In this paper we present an application of a variational method for the reconstruction of the velocity field in a coastal flow in the central Adriatic Sea, using in situ data from surface drifters and outputs from the ROMS circulation model. The variational approach, previously developed and tested for mesoscale open ocean flows, has been improved and adapted to account for inhomogeneities on boundary current dynamics over complex bathymetry and coastline and for weak Lagrangian persistence in coastal flows. The velocity reconstruction is performed using nine drifter trajectories over 45 d, and a hierarchy of indirect tests is introduced to evaluate the results as the real ocean state is not known. For internal consistency and impact of the analysis, three diagnostics characterizing the particle prediction and transport, in terms of residence times in various zones and export rates from the boundary current toward the interior, show that the reconstruction is quite effective. A qualitative comparison with sea color data from the MODIS satellite images shows that the reconstruction significantly improves the description of the boundary current with respect to the ROMS model first guess, capturing its main features and its exchanges with the interior when sampled by the drifters. Copyright 2008 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":"10.1029/2007JC004148","issn":"01480227","usgsCitation":"Taillandier, V., Griffa, A., Poulain, P., Signell, R., Chiggiato, J., and Carniel, S., 2008, Variational analysis of drifter positions and model outputs for the reconstruction of surface currents in the central Adriatic during fall 2002: Journal of Geophysical Research C: Oceans, v. 113, no. 4, https://doi.org/10.1029/2007JC004148.","costCenters":[],"links":[{"id":476474,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-04115083","text":"External Repository"},{"id":203497,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18941,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2007JC004148"}],"volume":"113","issue":"4","noUsgsAuthors":false,"publicationDate":"2008-04-04","publicationStatus":"PW","scienceBaseUri":"4f4e4adae4b07f02db685845","contributors":{"authors":[{"text":"Taillandier, V.","contributorId":87666,"corporation":false,"usgs":true,"family":"Taillandier","given":"V.","email":"","affiliations":[],"preferred":false,"id":346283,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffa, A.","contributorId":71301,"corporation":false,"usgs":true,"family":"Griffa","given":"A.","email":"","affiliations":[],"preferred":false,"id":346280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulain, P.-M.","contributorId":81230,"corporation":false,"usgs":true,"family":"Poulain","given":"P.-M.","email":"","affiliations":[],"preferred":false,"id":346282,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Signell, R.","contributorId":76052,"corporation":false,"usgs":true,"family":"Signell","given":"R.","affiliations":[],"preferred":false,"id":346281,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chiggiato, J.","contributorId":47065,"corporation":false,"usgs":true,"family":"Chiggiato","given":"J.","affiliations":[],"preferred":false,"id":346278,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carniel, S.","contributorId":47504,"corporation":false,"usgs":true,"family":"Carniel","given":"S.","email":"","affiliations":[],"preferred":false,"id":346279,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70000541,"text":"70000541 - 2008 - Mapping and interpretation of Sinlap crater on Titan using Cassini VIMS and RADAR data","interactions":[],"lastModifiedDate":"2012-03-08T17:16:34","indexId":"70000541","displayToPublicDate":"2010-09-28T23:09:27","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Mapping and interpretation of Sinlap crater on Titan using Cassini VIMS and RADAR data","docAbstract":"Only a few impact craters have been unambiguously detected on Titan by the Cassini-Huygens mission. Among these, Sinlap is the only one that has been observed both by the RADAR and VIMS instruments. This paper describes observations at centimeter and infrared wavelengths which provide complementary information about the composition, topography, and surface roughness. Several units appear in VIMS false color composites of band ratios in the Sinlap area, suggesting compositional heterogeneities. A bright pixel possibly related to a central peak does not show significant spectral variations, indicating either that the impact site was vertically homogeneous, or that this area has been recovered by homogeneous deposits. Both VIMS ratio images and dielectric constant measurements suggest the presence of an area enriched in water ice around the main ejecta blanket. Since the Ku-band SAR may see subsurface structures at the meter scale, the difference between infrared and SAR observations can be explained by the presence of a thin layer transparent to the radar. An analogy with terrestrial craters in Libya supports this interpretation. Finally, a tentative model describes the geological history of this area prior, during, and after the impact. It involves mainly the creation of ballistic ejecta and an expanding plume of vapor triggered by the impact, followed by the redeposition of icy spherules recondensed from this vapor plume blown downwind. Subsequent evolution is then driven by erosional processes and aeolian deposition. Copyright 2008 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research E: Planets","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2007JE002965","issn":"01480227","usgsCitation":"Le Mouelic, S., Paillou, P., Janssen, M., Barnes, J.W., Rodriguez, S., Sotin, C., Brown, R.H., Baines, K.H., Buratti, B.J., Clark, R.N., Crapeau, M., Encrenaz, P., Jaumann, R., Geudtner, D., Paganelli, F., Soderblom, L., Tobie, G., and Wall, S., 2008, Mapping and interpretation of Sinlap crater on Titan using Cassini VIMS and RADAR data: Journal of Geophysical Research E: Planets, v. 113, no. 4, https://doi.org/10.1029/2007JE002965.","costCenters":[],"links":[{"id":476477,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.archives-ouvertes.fr/hal-00261442","text":"External Repository"},{"id":203538,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18939,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2007JE002965"}],"volume":"113","issue":"4","noUsgsAuthors":false,"publicationDate":"2008-04-12","publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db6497aa","contributors":{"authors":[{"text":"Le Mouélic, Stéphane","contributorId":92786,"corporation":false,"usgs":false,"family":"Le Mouélic","given":"Stéphane","affiliations":[],"preferred":false,"id":346268,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paillou, P.","contributorId":45043,"corporation":false,"usgs":true,"family":"Paillou","given":"P.","affiliations":[],"preferred":false,"id":346261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Janssen, M.A.","contributorId":28345,"corporation":false,"usgs":true,"family":"Janssen","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":346258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnes, J. W.","contributorId":14554,"corporation":false,"usgs":false,"family":"Barnes","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":346254,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodriguez, S.","contributorId":54329,"corporation":false,"usgs":false,"family":"Rodriguez","given":"S.","email":"","affiliations":[],"preferred":false,"id":346264,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sotin, Christophe","contributorId":53924,"corporation":false,"usgs":false,"family":"Sotin","given":"Christophe","email":"","affiliations":[],"preferred":false,"id":346263,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brown, R. H.","contributorId":19931,"corporation":false,"usgs":false,"family":"Brown","given":"R.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":346257,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Baines, K. H.","contributorId":37868,"corporation":false,"usgs":false,"family":"Baines","given":"K.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":346260,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Buratti, B. J.","contributorId":69280,"corporation":false,"usgs":false,"family":"Buratti","given":"B.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":346265,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Clark, R. N.","contributorId":6568,"corporation":false,"usgs":true,"family":"Clark","given":"R.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":346253,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Crapeau, M.","contributorId":33438,"corporation":false,"usgs":true,"family":"Crapeau","given":"M.","email":"","affiliations":[],"preferred":false,"id":346259,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Encrenaz, P.J.","contributorId":18092,"corporation":false,"usgs":true,"family":"Encrenaz","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":346256,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Jaumann, R.","contributorId":81232,"corporation":false,"usgs":false,"family":"Jaumann","given":"R.","email":"","affiliations":[],"preferred":false,"id":346266,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Geudtner, D.","contributorId":46667,"corporation":false,"usgs":true,"family":"Geudtner","given":"D.","email":"","affiliations":[],"preferred":false,"id":346262,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Paganelli, F.","contributorId":17353,"corporation":false,"usgs":true,"family":"Paganelli","given":"F.","email":"","affiliations":[],"preferred":false,"id":346255,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Soderblom, L.","contributorId":106244,"corporation":false,"usgs":true,"family":"Soderblom","given":"L.","affiliations":[],"preferred":false,"id":346270,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Tobie, G.","contributorId":89267,"corporation":false,"usgs":true,"family":"Tobie","given":"G.","affiliations":[],"preferred":false,"id":346267,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Wall, S.","contributorId":103774,"corporation":false,"usgs":true,"family":"Wall","given":"S.","affiliations":[],"preferred":false,"id":346269,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70000558,"text":"70000558 - 2008 - Investigation of hydrophobic contaminants in an urban slough system using passive sampling - Insights from sampling rate calculations","interactions":[],"lastModifiedDate":"2012-03-08T17:16:37","indexId":"70000558","displayToPublicDate":"2010-09-28T23:09:26","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Investigation of hydrophobic contaminants in an urban slough system using passive sampling - Insights from sampling rate calculations","docAbstract":"Semipermeable membrane devices (SPMDs) were deployed in the Columbia Slough, near Portland, Oregon, on three separate occasions to measure the spatial and seasonal distribution of dissolved polycyclic aromatic hydrocarbons (PAHs) and organochlorine compounds (OCs) in the slough. Concentrations of PAHs and OCs in SPMDs showed spatial and seasonal differences among sites and indicated that unusually high flows in the spring of 2006 diluted the concentrations of many of the target contaminants. However, the same PAHs - pyrene, fluoranthene, and the alkylated homologues of phenanthrene, anthracene, and fluorene - and OCs - polychlorinated biphenyls, pentachloroanisole, chlorpyrifos, dieldrin, and the metabolites of dichlorodiphenyltrichloroethane (DDT) - predominated throughout the system during all three deployment periods. The data suggest that storm washoff may be a predominant source of PAHs in the slough but that OCs are ubiquitous, entering the slough by a variety of pathways. Comparison of SPMDs deployed on the stream bed with SPMDs deployed in the overlying water column suggests that even for the very hydrophobic compounds investigated, bed sediments may not be a predominant source in this system. Perdeuterated phenanthrene (phenanthrene-d10). spiked at a rate of 2 ??g per SPMD, was shown to be a reliable performance reference compound (PRC) under the conditions of these deployments. Post-deployment concentrations of the PRC revealed differences in sampling conditions among sites and between seasons, but indicate that for SPMDs deployed throughout the main slough channel, differences in sampling rates were small enough to make site-to-site comparisons of SPMD concentrations straightforward. ?? Springer Science+Business Media B.V. 2007.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Monitoring and Assessment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10661-007-0014-7","issn":"01676369","usgsCitation":"McCarthy, K., 2008, Investigation of hydrophobic contaminants in an urban slough system using passive sampling - Insights from sampling rate calculations: Environmental Monitoring and Assessment, v. 145, no. 1-3, p. 31-47, https://doi.org/10.1007/s10661-007-0014-7.","startPage":"31","endPage":"47","costCenters":[],"links":[{"id":203287,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18952,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10661-007-0014-7"}],"volume":"145","issue":"1-3","noUsgsAuthors":false,"publicationDate":"2007-11-08","publicationStatus":"PW","scienceBaseUri":"4f4e48b2e4b07f02db530fb2","contributors":{"authors":[{"text":"McCarthy, K.","contributorId":48287,"corporation":false,"usgs":true,"family":"McCarthy","given":"K.","affiliations":[],"preferred":false,"id":346330,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70000305,"text":"70000305 - 2008 - Q for P waves in the sediments of the Virginia Coastal Plain","interactions":[],"lastModifiedDate":"2012-03-08T17:16:33","indexId":"70000305","displayToPublicDate":"2010-09-28T23:09:26","publicationYear":"2008","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":"Q for P waves in the sediments of the Virginia Coastal Plain","docAbstract":"The seismic quality factor Q for P waves in Atlantic Coastal Plain sediments is estimated using data from the 2004 U.S. Geological Survey seismic survey in eastern Virginia. The estimates are based on spectral ratios derived from reflections and sediment-guided P waves in Late Cretaceous and Tertiary sediments within the annular trough of the Late Eocene Chesapeake Bay impact structure. The estimates of Q for the frequency range of 10-150 Hz are from 75 to 100, with the best estimate of 80 based on multichannel stacking of spectral ratios from receivers in the offset range of 200-2000 m. This result is approximately a factor of 2 larger than the results previously reported for the Charleston, South Carolina, area, and it is approximately one-half of that recently reported for the Mississippi Embayment.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1785/0120070170","issn":"00371106","usgsCitation":"Chapman, M., Beale, J., and Catchings, R.D., 2008, Q for P waves in the sediments of the Virginia Coastal Plain: Bulletin of the Seismological Society of America, v. 98, no. 4, p. 2022-2032, https://doi.org/10.1785/0120070170.","startPage":"2022","endPage":"2032","costCenters":[],"links":[{"id":203461,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18777,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120070170"}],"volume":"98","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a73e4b07f02db643bcc","contributors":{"authors":[{"text":"Chapman, M.C.","contributorId":13727,"corporation":false,"usgs":true,"family":"Chapman","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":345374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beale, J.N.","contributorId":66827,"corporation":false,"usgs":true,"family":"Beale","given":"J.N.","email":"","affiliations":[],"preferred":false,"id":345375,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Catchings, R. D.","contributorId":98738,"corporation":false,"usgs":true,"family":"Catchings","given":"R.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":345376,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70000303,"text":"70000303 - 2008 - Landscape-scale evaluation of genetic structure among barrier-isolated populations of coastal cutthroat trout, Oncorhynchus clarkii clarkii","interactions":[],"lastModifiedDate":"2017-11-17T13:49:35","indexId":"70000303","displayToPublicDate":"2010-09-28T23:09:26","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Landscape-scale evaluation of genetic structure among barrier-isolated populations of coastal cutthroat trout, Oncorhynchus clarkii clarkii","docAbstract":"<p>Relationships among landscape structure, stochastic disturbance, and genetic diversity were assessed by examining interactions between watershed-scale environmental factors and genetic diversity of coastal cutthroat trout (Oncorhynchus clarkii clarkii) in 27 barrier-isolated watersheds from western Oregon, USA. Headwater populations of coastal cutthroat trout were genetically differentiated (mean FST = 0.33) using data from seven microsatellite loci (2232 individuals), but intrapopulation microsatellite genetic diversity (mean number of alleles per locus = 5, mean He = 0.60) was only moderate. Genetic diversity of coastal cutthroat trout was greater (P = 0.02) in the Coast Range ecoregion (mean alleles = 47) than in the Cascades ecoregion (mean alleles = 30), and differences coincided with indices of regional within-watershed complexity and connectivity. Furthermore, regional patterns of diversity evident from isolation-by-distance plots suggested that retention of within-population genetic diversity in the Coast Range ecoregion is higher than that in the Cascades, where genetic drift is the dominant factor influencing genetic patterns. Thus, it appears that physical landscape features have influenced genetic patterns in these populations isolated from short-term immigration. ?? 2008 NRC.</p>","language":"English","doi":"10.1139/F08-090","usgsCitation":"Guy, T., Gresswell, R., and Banks, M., 2008, Landscape-scale evaluation of genetic structure among barrier-isolated populations of coastal cutthroat trout, Oncorhynchus clarkii clarkii: Canadian Journal of Fisheries and Aquatic Sciences, v. 65, no. 8, p. 1749-1762, https://doi.org/10.1139/F08-090.","productDescription":"14 p.","startPage":"1749","endPage":"1762","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":203423,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18775,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/F08-090"}],"volume":"65","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b28e4b07f02db6b145c","contributors":{"authors":[{"text":"Guy, T.J.","contributorId":38087,"corporation":false,"usgs":true,"family":"Guy","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":345369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gresswell, R. E.","contributorId":38084,"corporation":false,"usgs":true,"family":"Gresswell","given":"R. E.","affiliations":[],"preferred":false,"id":345368,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Banks, M. A.","contributorId":96631,"corporation":false,"usgs":true,"family":"Banks","given":"M. A.","affiliations":[],"preferred":false,"id":345370,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70000286,"text":"70000286 - 2008 - Effect of soil disturbance on recharging fluxes: Case study on the Snake River Plain, Idaho National Laboratory, USA","interactions":[],"lastModifiedDate":"2012-03-08T17:16:35","indexId":"70000286","displayToPublicDate":"2010-09-28T23:09:26","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Effect of soil disturbance on recharging fluxes: Case study on the Snake River Plain, Idaho National Laboratory, USA","docAbstract":"Soil structural disturbance influences the downward flow of water that percolates deep enough to become aquifer recharge. Data from identical experiments in an undisturbed silt-loam soil and in an adjacent simulated waste trench composed of the same soil material, but disturbed, included (1) laboratory- and field-measured unsaturated hydraulic properties and (2) field-measured transient water content profiles through 24 h of ponded infiltration and 75 d of redistribution. In undisturbed soil, wetting fronts were highly diffuse above 2 m depth, and did not go much deeper than 2 m. Darcian analysis suggests an average recharge rate less than 2 mm/year. In disturbed soil, wetting fronts were sharp and initial infiltration slower; water moved slowly below 2 m without obvious impediment. Richards' equation simulations with realistic conditions predicted sharp wetting fronts, as observed for disturbed soil. Such simulations were adequate for undisturbed soil only if started from a post-initial moisture distribution that included about 3 h of infiltration. These late-started simulations remained good, however, through the 76 d of data. Overall results suggest the net effect of soil disturbance, although it reduces preferential flow, may be to increase recharge by disrupting layer contrasts. ?? Springer-Verlag 2007.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrogeology Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10040-007-0261-2","issn":"14312174","usgsCitation":"Nimmo, J., and Perkins, K., 2008, Effect of soil disturbance on recharging fluxes: Case study on the Snake River Plain, Idaho National Laboratory, USA: Hydrogeology Journal, v. 16, no. 5, p. 829-844, https://doi.org/10.1007/s10040-007-0261-2.","startPage":"829","endPage":"844","costCenters":[],"links":[{"id":203566,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18762,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10040-007-0261-2"}],"volume":"16","issue":"5","noUsgsAuthors":false,"publicationDate":"2008-01-23","publicationStatus":"PW","scienceBaseUri":"4f4e4a4be4b07f02db625554","contributors":{"authors":[{"text":"Nimmo, J. R. 0000-0001-8191-1727","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":58304,"corporation":false,"usgs":true,"family":"Nimmo","given":"J. R.","affiliations":[],"preferred":false,"id":345296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perkins, K. S. 0000-0001-8349-447X","orcid":"https://orcid.org/0000-0001-8349-447X","contributorId":77557,"corporation":false,"usgs":true,"family":"Perkins","given":"K. S.","affiliations":[],"preferred":false,"id":345297,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70000547,"text":"70000547 - 2008 - Modeling wetland blackbird populations as a function of waterfowl abundance in the prairie pothole region of the United States and Canada","interactions":[],"lastModifiedDate":"2012-03-08T17:16:37","indexId":"70000547","displayToPublicDate":"2010-09-28T23:09:26","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1527,"text":"Environmental Bioindicators","active":true,"publicationSubtype":{"id":10}},"title":"Modeling wetland blackbird populations as a function of waterfowl abundance in the prairie pothole region of the United States and Canada","docAbstract":"Blackbirds share wetland habitat with many waterfowl species in Bird Conservation Region 11 (BCR 11), the prairie potholes. Because of similar habitat preferences, there may be associations between blackbird populations and populations of one or more species of waterfowl in BCR11. This study models populations of red-winged blackbirds and yellow-headed blackbirds as a function of multiple waterfowl species using data from the North American Breeding Bird Survey within BCR11. For each blackbird species, we created a global model with blackbird abundance modeled as a function of 11 waterfowl species; nuisance effects (year, route, and observer) also were included in the model. Hierarchical Poisson regression models were fit using Markov chain Monte Carlo methods in WinBUGS 1.4.1. Waterfowl abundances were weakly associated with blackbird numbers, and no single waterfowl species showed a strong correlation with any blackbird species. These findings suggest waterfowl abundance from a single species is not likely a good bioindicator of blackbird abundance; however, a global model provided good fit for predicting red-winged blackbird abundance. Increased model complexity may be required for accurate predictions of blackbird abundance; the amount of data required to construct appropriate models may limit this approach for predicting blackbird abundance in the prairie potholes. Copyright ?? Taylor & Francis Group, LLC.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Bioindicators","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1080/15555270802275434","issn":"15555275","usgsCitation":"Forcey, G., Linz, G., Thogmartin, W., and Bleier, W., 2008, Modeling wetland blackbird populations as a function of waterfowl abundance in the prairie pothole region of the United States and Canada: Environmental Bioindicators, v. 3, no. 2, p. 124-135, https://doi.org/10.1080/15555270802275434.","startPage":"124","endPage":"135","costCenters":[],"links":[{"id":203288,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18944,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/15555270802275434"}],"volume":"3","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db69975c","contributors":{"authors":[{"text":"Forcey, G.M.","contributorId":57998,"corporation":false,"usgs":true,"family":"Forcey","given":"G.M.","affiliations":[],"preferred":false,"id":346294,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Linz, G.M.","contributorId":70877,"corporation":false,"usgs":true,"family":"Linz","given":"G.M.","email":"","affiliations":[],"preferred":false,"id":346295,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thogmartin, W.E. 0000-0002-2384-4279","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":26392,"corporation":false,"usgs":true,"family":"Thogmartin","given":"W.E.","affiliations":[],"preferred":false,"id":346293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bleier, W.J.","contributorId":79194,"corporation":false,"usgs":true,"family":"Bleier","given":"W.J.","affiliations":[],"preferred":false,"id":346296,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70000288,"text":"70000288 - 2008 - Evaluation of an aerial survey to estimate abundance of wintering ducks in Mississippi","interactions":[],"lastModifiedDate":"2022-12-02T18:01:17.297523","indexId":"70000288","displayToPublicDate":"2010-09-28T23:09:26","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of an aerial survey to estimate abundance of wintering ducks in Mississippi","docAbstract":"<p><span>Researchers have successfully designed aerial surveys that provided precise estimates of wintering populations of ducks over large physiographic regions, yet few conservation agencies have adopted these probability-based sampling designs for their surveys. We designed and evaluated an aerial survey to estimate abundance of wintering mallards (</span><i><span class=\"genus-species\">Anas platyrhynchos</span></i><span>), dabbling ducks (tribe Anatini) other than mallards, diving ducks (tribes Aythini, Mergini, and Oxyurini), and total ducks in western Mississippi, USA. We used design-based sampling of fixed width transects to estimate population indices (</span><i>Î</i><span>), and we used model-based methods to correct population indices for visibility bias and estimate population abundance (</span><i>N̂</i><span>) for 14 surveys during winters 2002–2004. Correcting for bias increased estimates of mallards, other dabbling ducks, and diving ducks by an average of 40–48% among all surveys and contributed 48–61% of the estimated variance of&nbsp;</span><i>N̂</i><span>. However, mean-squared errors were consistently less for&nbsp;</span><i>N̂</i><span>&nbsp;than&nbsp;</span><i>Î</i><span>. Estimates of&nbsp;</span><i>N̂</i><span>&nbsp;met our goals for precision (CV ≤ 15%) in 7 of 14 surveys for mallards, 5 surveys for other dabbling ducks, no surveys for diving ducks, and 10 surveys for total ducks. Generally, we estimated more mallards and other dabbling ducks in mid- and late winter (Jan–Feb) than early winter (Nov–Dec) and determined that population indices from the late 1980s were nearly 3 times greater than those from our study. We developed a method to display relative densities of ducks spatially as an additional application of survey data. Our study advanced methods of estimating abundance of wintering waterfowl, and we recommend this design for continued monitoring of wintering ducks in western Mississippi and similar physiographic regions.</span></p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.2193/2007-471","usgsCitation":"Pearse, A.T., Dinsmore, S., Kaminski, R.M., and Reinecke, K.J., 2008, Evaluation of an aerial survey to estimate abundance of wintering ducks in Mississippi: Journal of Wildlife Management, v. 72, no. 6, p. 1413-1419, https://doi.org/10.2193/2007-471.","productDescription":"7 p.","startPage":"1413","endPage":"1419","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":203662,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"Mississippi Alluvial Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.3506529084705,\n              34.8155049576614\n            ],\n            [\n              -91.16265886235584,\n              33.804792398733014\n            ],\n            [\n              -91.18356048811279,\n              33.03680764466297\n            ],\n            [\n              -91.00234230882234,\n              32.525992065614446\n            ],\n            [\n              -90.04531989694982,\n              33.13430838520391\n            ],\n            [\n              -89.92175342496049,\n              34.38245463409882\n            ],\n            [\n              -90.3506529084705,\n              34.8155049576614\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"72","issue":"6","noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"4f4e49e5e4b07f02db5e6d9e","contributors":{"authors":[{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":345300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dinsmore, Stephen J.","contributorId":61718,"corporation":false,"usgs":true,"family":"Dinsmore","given":"Stephen J.","affiliations":[],"preferred":false,"id":345301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaminski, Richard M.","contributorId":78205,"corporation":false,"usgs":false,"family":"Kaminski","given":"Richard","email":"","middleInitial":"M.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":345298,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reinecke, Kenneth J.","contributorId":87275,"corporation":false,"usgs":true,"family":"Reinecke","given":"Kenneth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":345299,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70000293,"text":"70000293 - 2008 - The decline of winter monsoon velocity in the South China Sea through the 20th century: Evidence from the Sr/Ca records in corals","interactions":[],"lastModifiedDate":"2012-03-08T17:16:35","indexId":"70000293","displayToPublicDate":"2010-09-28T23:09:25","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1844,"text":"Global and Planetary Change","active":true,"publicationSubtype":{"id":10}},"title":"The decline of winter monsoon velocity in the South China Sea through the 20th century: Evidence from the Sr/Ca records in corals","docAbstract":"A modern massive Porites coral was collected from the Longwan Bay (19??20???N, 110??39???E) on the east coast of the Hainan Island, China. The coral was sectioned vertical to the growth axis into discs of double density-bands representing annual growth. The samples were analyzed for the Sr/Ca ratio by inductively coupled plasma atomic emission spectrometry. The history of winter sea-surface temperature (SST) is reconstructed using the Sr/Ca ratio in winter bands of corals. The winter SST at Xisha in the middle of the South China Sea (SCS) is weakly correlated with the instrument-measured winter monsoon velocity (WMV) with a correlation coefficient of 0.19. The winter SST data from corals at Longwan Bay, Hainan, in the northern SCS are moderately correlated with the WMV (r = 0.40). Interestingly we found that the difference of winter SSTs between the two sites (Xisha and Longwan Bay, Hainan) (the X-H index) is significantly negatively correlated with the WMV (r = - 0.73). This negative correlation may be related to the intrusion of the warm Kuroshio Current into the SCS through the Luzon Strait promoted by the strong northeastern monsoon winds in the winter. Using the relationship between our coralline data and observed WMV, the calculated winter monsoon velocity (WMVc) was obtained for 87??years. This data set in combination with the instrument-measured data between 1993 and 1998 generate a record of WMVc for a period of 93??years from 1906 to 1998. The WMVc in the 20th century shows significant interannual and decadal variability with a trend of persistent decline in the whole 20th century at the rate of decrease of - 0.02 (m/s)/a. The lowest wind velocity occurred during the last two decades of the 20th century. The WMVc has decreased significantly by about 30% from the early to the late of 20th century. The 20th century decline of winter monsoon velocity evidenced from the SCS coral records is consistent with the atmosphere-ocean general circulation models (AOGCMs) simulations for monsoon response to increasing temperatures. In addition, an obvious decline shift of WMV around 1976 can be seen in both instrumental and proxy records and it coincides with many other Pacific records. This shift is likely to correspond to a Pacific-wide change in the Pacific Decadal Oscillation occurring at the same time. ?? 2008 Elsevier B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global and Planetary Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.gloplacha.2008.05.003","issn":"09218181","usgsCitation":"Liu, Y., Peng, Z., Chen, T., Wei, G., Sun, W., Sun, R., He, J., Liu, G., Chou, C.L., and Zartman, R., 2008, The decline of winter monsoon velocity in the South China Sea through the 20th century: Evidence from the Sr/Ca records in corals: Global and Planetary Change, v. 63, no. 1, p. 79-85, https://doi.org/10.1016/j.gloplacha.2008.05.003.","startPage":"79","endPage":"85","costCenters":[],"links":[{"id":203478,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18768,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gloplacha.2008.05.003"}],"volume":"63","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa9e4b07f02db66880d","contributors":{"authors":[{"text":"Liu, Yajing","contributorId":16553,"corporation":false,"usgs":true,"family":"Liu","given":"Yajing","affiliations":[],"preferred":false,"id":345334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peng, Z.","contributorId":95598,"corporation":false,"usgs":true,"family":"Peng","given":"Z.","affiliations":[],"preferred":false,"id":345337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, T.","contributorId":107836,"corporation":false,"usgs":true,"family":"Chen","given":"T.","email":"","affiliations":[],"preferred":false,"id":345340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wei, G.","contributorId":105415,"corporation":false,"usgs":true,"family":"Wei","given":"G.","email":"","affiliations":[],"preferred":false,"id":345339,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sun, W.","contributorId":69692,"corporation":false,"usgs":true,"family":"Sun","given":"W.","email":"","affiliations":[],"preferred":false,"id":345336,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sun, R.","contributorId":10137,"corporation":false,"usgs":true,"family":"Sun","given":"R.","affiliations":[],"preferred":false,"id":345331,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"He, J.","contributorId":95993,"corporation":false,"usgs":true,"family":"He","given":"J.","email":"","affiliations":[],"preferred":false,"id":345338,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Liu, Gaisheng","contributorId":15158,"corporation":false,"usgs":true,"family":"Liu","given":"Gaisheng","email":"","affiliations":[],"preferred":false,"id":345332,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chou, C. L.","contributorId":32655,"corporation":false,"usgs":false,"family":"Chou","given":"C.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":345335,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zartman, R. E.","contributorId":15632,"corporation":false,"usgs":true,"family":"Zartman","given":"R. E.","affiliations":[],"preferred":false,"id":345333,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70000031,"text":"70000031 - 2008 - Hydrologic models of modern and fossil geothermal systems in the Great Basin: Genetic implications for epithermal Au-Ag and Carlin-type gold deposits","interactions":[],"lastModifiedDate":"2012-03-08T17:16:34","indexId":"70000031","displayToPublicDate":"2010-09-28T23:09:25","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic models of modern and fossil geothermal systems in the Great Basin: Genetic implications for epithermal Au-Ag and Carlin-type gold deposits","docAbstract":"The Great Basin region in the western United States contains active geothermal systems, large epithermal Au-Ag deposits, and world-class Carlin-type gold deposits. Temperature profiles, fluid inclusion studies, and isotopic evidence suggest that modern and fossil hydrothermal systems associated with gold mineralization share many common features, including the absence of a clear magmatic fluid source, discharge areas restricted to fault zones, and remarkably high temperatures (>200 ??C) at shallow depths (200-1500 m). While the plumbing of these systems varies, geochemical and isotopic data collected at the Dixie Valley and Beowawe geothermal systems suggest that fluid circulation along fault zones was relatively deep (>5 km) and comprised of relatively unexchanged Pleistocene meteoric water with small (<2.5%) shifts from the meteoric water line (MWL). Many fossil ore-forming systems were also dominated by meteoric water, but usually exhibit ??18O fluid-rock interactions with larger shifts of 5???-20??? from the MWL. Here we present a suite of two-dimensional regional (100 km) and local (40-50 km) scale hydrologic models that we have used to study the plumbing of modern and Tertiary hydrothermal systems of the Great Basin. Geologically and geophysically consistent cross sections were used to generate somewhat idealized hydrogeologic models for these systems that include the most important faults, aquifers, and confining units in their approximate configurations. Multiple constraints were used, including enthalpy, ??18O, silica compositions of fluids and/or rocks, groundwater residence times, fluid inclusion homogenization temperatures, and apatite fission track anomalies. Our results suggest that these hydrothermal systems were driven by natural thermal convection along anisotropic, subvertical faults connected in many cases at depth by permeable aquifers within favorable lithostratigraphic horizons. Those with minimal fluid ?? 18O shifts are restricted to high-permeability fault zones and relatively small-scale (???5 km), single-pass flow systems (e.g., Beowawe). Those with intermediate to large isotopic shifts (e.g., epithermal and Carlin-type Au) had larger-scale (???15 km) loop convection cells with a greater component of flow through marine sedimentary rocks at lower water/rock ratios and greater endowments of gold. Enthalpy calculations constrain the duration of Carlin-type gold systems to probably <200 k.y. Shallow heat flow gradients and fluid silica concentrations suggest that the duration of the modern Beowawe system is <5 k.y. However, fluid flow at Beowawe during the Quaternary must have been episodic with a net duration of ???200 k.y. to account for the amount of silica in the sinter deposits. In the Carlin trend, fluid circulation extended down into Paleozoic siliciclastic rocks, which afforded more mixing with isotopically enriched higher enthalpy fluids. Computed fission track ages along the Carlin trend included the convective effects, and ranged between 91.6 and 35.3 Ma. Older fission track ages occurred in zones of groundwater recharge, and the younger ages occurred in discharge areas. This is largely consistent with fission track ages reported in recent studies. We found that either an amagmatic system with more permeable faults (10-11 m2) or a magmatic system with less permeable faults (10-13 m2) could account for the published isotopic and thermal data along the Carlin trend systems. Localized high heat flow beneath the Muleshoe fault was needed to match fl uid inclusion temperatures at Mule Canyon. However, both magmatic and amagmatic scenarios require the existence of deep, permeable faults to bring hot fluids to the near surface. ?? 2008 Geological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1130/GES00150.1","issn":"1553040X","usgsCitation":"Person, M., Banerjee, A., Hofstra, A., Sweetkind, D., and Gao, Y., 2008, Hydrologic models of modern and fossil geothermal systems in the Great Basin: Genetic implications for epithermal Au-Ag and Carlin-type gold deposits: Geosphere, v. 4, no. 5, p. 888-917, https://doi.org/10.1130/GES00150.1.","startPage":"888","endPage":"917","costCenters":[],"links":[{"id":487109,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00150.1","text":"Publisher Index Page"},{"id":203470,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18636,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/GES00150.1"}],"volume":"4","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adce4b07f02db686266","contributors":{"authors":[{"text":"Person, M.","contributorId":20876,"corporation":false,"usgs":true,"family":"Person","given":"M.","email":"","affiliations":[],"preferred":false,"id":344725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Banerjee, A.","contributorId":26411,"corporation":false,"usgs":true,"family":"Banerjee","given":"A.","email":"","affiliations":[],"preferred":false,"id":344726,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hofstra, A. 0000-0002-2450-1593","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":43084,"corporation":false,"usgs":true,"family":"Hofstra","given":"A.","affiliations":[],"preferred":false,"id":344727,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sweetkind, D.","contributorId":83645,"corporation":false,"usgs":true,"family":"Sweetkind","given":"D.","affiliations":[],"preferred":false,"id":344729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gao, Y.","contributorId":82437,"corporation":false,"usgs":true,"family":"Gao","given":"Y.","email":"","affiliations":[],"preferred":false,"id":344728,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70000174,"text":"70000174 - 2008 - Modelling invasion for a habitat generalist and a specialist plant species","interactions":[],"lastModifiedDate":"2012-03-08T17:16:33","indexId":"70000174","displayToPublicDate":"2010-09-28T23:09:25","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Modelling invasion for a habitat generalist and a specialist plant species","docAbstract":"Predicting suitable habitat and the potential distribution of invasive species is a high priority for resource managers and systems ecologists. Most models are designed to identify habitat characteristics that define the ecological niche of a species with little consideration to individual species' traits. We tested five commonly used modelling methods on two invasive plant species, the habitat generalist Bromus tectorum and habitat specialist Tamarix chinensis, to compare model performances, evaluate predictability, and relate results to distribution traits associated with each species. Most of the tested models performed similarly for each species; however, the generalist species proved to be more difficult to predict than the specialist species. The highest area under the receiver-operating characteristic curve values with independent validation data sets of B. tectorum and T. chinensis was 0.503 and 0.885, respectively. Similarly, a confusion matrix for B. tectorum had the highest overall accuracy of 55%, while the overall accuracy for T. chinensis was 85%. Models for the generalist species had varying performances, poor evaluations, and inconsistent results. This may be a result of a generalist's capability to persist in a wide range of environmental conditions that are not easily defined by the data, independent variables or model design. Models for the specialist species had consistently strong performances, high evaluations, and similar results among different model applications. This is likely a consequence of the specialist's requirement for explicit environmental resources and ecological barriers that are easily defined by predictive models. Although defining new invaders as generalist or specialist species can be challenging, model performances and evaluations may provide valuable information on a species' potential invasiveness.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Diversity and Distributions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1472-4642.2008.00486.x","issn":"13669516","usgsCitation":"Evangelista, P., Kumar, S., Stohlgren, T., Jarnevich, C., Crall, A., Norman, J.B., and Barnett, D., 2008, Modelling invasion for a habitat generalist and a specialist plant species: Diversity and Distributions, v. 14, no. 5, p. 808-817, https://doi.org/10.1111/j.1472-4642.2008.00486.x.","startPage":"808","endPage":"817","costCenters":[],"links":[{"id":476494,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1472-4642.2008.00486.x","text":"Publisher Index Page"},{"id":203750,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18708,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1472-4642.2008.00486.x"}],"volume":"14","issue":"5","noUsgsAuthors":false,"publicationDate":"2008-08-12","publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db69972e","contributors":{"authors":[{"text":"Evangelista, P.H.","contributorId":31708,"corporation":false,"usgs":true,"family":"Evangelista","given":"P.H.","email":"","affiliations":[],"preferred":false,"id":345035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kumar, S.","contributorId":89843,"corporation":false,"usgs":true,"family":"Kumar","given":"S.","affiliations":[],"preferred":false,"id":345038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stohlgren, T.J.","contributorId":7217,"corporation":false,"usgs":true,"family":"Stohlgren","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":345033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jarnevich, C. S.","contributorId":54932,"corporation":false,"usgs":true,"family":"Jarnevich","given":"C. S.","affiliations":[],"preferred":false,"id":345036,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crall, A.W.","contributorId":75873,"corporation":false,"usgs":true,"family":"Crall","given":"A.W.","email":"","affiliations":[],"preferred":false,"id":345037,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Norman, J. B. III","contributorId":31511,"corporation":false,"usgs":true,"family":"Norman","given":"J.","suffix":"III","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":345034,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barnett, D.T.","contributorId":99504,"corporation":false,"usgs":true,"family":"Barnett","given":"D.T.","email":"","affiliations":[],"preferred":false,"id":345039,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70000219,"text":"70000219 - 2008 - Calibrating and testing a gap model for simulating forest management in the Oregon Coast Range","interactions":[],"lastModifiedDate":"2012-03-08T17:16:37","indexId":"70000219","displayToPublicDate":"2010-09-28T23:09:25","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Calibrating and testing a gap model for simulating forest management in the Oregon Coast Range","docAbstract":"The complex mix of economic and ecological objectives facing today's forest managers necessitates the development of growth models with a capacity for simulating a wide range of forest conditions while producing outputs useful for economic analyses. We calibrated the gap model ZELIG to simulate stand-level forest development in the Oregon Coast Range as part of a landscape-scale assessment of different forest management strategies. Our goal was to incorporate the predictive ability of an empirical model with the flexibility of a forest succession model. We emphasized the development of commercial-aged stands of Douglas-fir, the dominant tree species in the study area and primary source of timber. In addition, we judged that the ecological approach of ZELIG would be robust to the variety of other forest conditions and practices encountered in the Coast Range, including mixed-species stands, small-scale gap formation, innovative silvicultural methods, and reserve areas where forests grow unmanaged for long periods of time. We parameterized the model to distinguish forest development among two ecoregions, three forest types and two site productivity classes using three data sources: chronosequences of forest inventory data, long-term research data, and simulations from an empirical growth-and-yield model. The calibrated model was tested with independent, long-term measurements from 11 Douglas-fir plots (6 unthinned, 5 thinned), 3 spruce-hemlock plots, and 1 red alder plot. ZELIG closely approximated developmental trajectories of basal area and large trees in the Douglas-fir plots. Differences between simulated and observed conifer basal area for these plots ranged from -2.6 to 2.4 m2/ha; differences in the number of trees/ha ???50 cm dbh ranged from -8.8 to 7.3 tph. Achieving these results required the use of a diameter-growth multiplier, suggesting some underlying constraints on tree growth such as the temperature response function. ZELIG also tended to overestimate regeneration of shade-tolerant trees and underestimate total tree density (i.e., higher rates of tree mortality). However, comparisons with the chronosequences of forest inventory data indicated that the simulated data are within the range of variability observed in the Coast Range. Further exploration and improvement of ZELIG is warranted in three key areas: (1) modeling rapid rates of conifer tree growth without the need for a diameter-growth multiplier; (2) understanding and remedying rates of tree mortality that were higher than those observed in the independent data; and (3) improving the tree regeneration module to account for competition with understory vegetation. ?? 2008 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Forest Ecology and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.foreco.2008.05.046","issn":"03781127","usgsCitation":"Pabst, R., Goslin, M., Garman, S., and Spies, T., 2008, Calibrating and testing a gap model for simulating forest management in the Oregon Coast Range: Forest Ecology and Management, v. 256, no. 5, p. 958-972, https://doi.org/10.1016/j.foreco.2008.05.046.","startPage":"958","endPage":"972","costCenters":[],"links":[{"id":203364,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18727,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.foreco.2008.05.046"}],"volume":"256","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a07e4b07f02db5f95bf","contributors":{"authors":[{"text":"Pabst, R.J.","contributorId":82435,"corporation":false,"usgs":true,"family":"Pabst","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":345137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goslin, M.N.","contributorId":107404,"corporation":false,"usgs":true,"family":"Goslin","given":"M.N.","email":"","affiliations":[],"preferred":false,"id":345138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garman, S.L.","contributorId":17203,"corporation":false,"usgs":true,"family":"Garman","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":345135,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spies, T.A.","contributorId":81224,"corporation":false,"usgs":true,"family":"Spies","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":345136,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70000221,"text":"70000221 - 2008 - Agreement evaluation of AVHRR and MODIS 16-day composite NDVI data sets","interactions":[],"lastModifiedDate":"2018-02-21T15:38:05","indexId":"70000221","displayToPublicDate":"2010-09-28T23:09:25","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Agreement evaluation of AVHRR and MODIS 16-day composite NDVI data sets","docAbstract":"Satellite-derived normalized difference vegetation index (NDVI) data have been used extensively to detect and monitor vegetation conditions at regional and global levels. A combination of NDVI data sets derived from AVHRR and MODIS can be used to construct a long NDVI time series that may also be extended to VIIRS. Comparative analysis of NDVI data derived from AVHRR and MODIS is critical to understanding the data continuity through the time series. In this study, the AVHRR and MODIS 16-day composite NDVI products were compared using regression and agreement analysis methods. The analysis shows a high agreement between the AVHRR-NDVI and MODIS-NDVI observed from 2002 and 2003 for the conterminous United States, but the difference between the two data sets is appreciable. Twenty per cent of the total difference between the two data sets is due to systematic difference, with the remainder due to unsystematic difference. The systematic difference can be eliminated with a linear regression-based transformation between two data sets, and the unsystematic difference can be reduced partially by applying spatial filters to the data. We conclude that the continuity of NDVI time series from AVHRR to MODIS is satisfactory, but a linear transformation between the two sets is recommended.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431160801927194","issn":"01431161","usgsCitation":"Ji, L., Gallo, K.P., Eidenshink, J.C., and Dwyer, J.L., 2008, Agreement evaluation of AVHRR and MODIS 16-day composite NDVI data sets: International Journal of Remote Sensing, v. 29, no. 16, p. 4839-4861, https://doi.org/10.1080/01431160801927194.","productDescription":"23 p.","startPage":"4839","endPage":"4861","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":203642,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18729,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431160801927194"}],"volume":"29","issue":"16","noUsgsAuthors":false,"publicationDate":"2008-07-23","publicationStatus":"PW","scienceBaseUri":"4f4e4ae1e4b07f02db688a2a","contributors":{"authors":[{"text":"Ji, Lei 0000-0002-6133-1036 lji@usgs.gov","orcid":"https://orcid.org/0000-0002-6133-1036","contributorId":2832,"corporation":false,"usgs":true,"family":"Ji","given":"Lei","email":"lji@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":345145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallo, Kevin P. kgallo@usgs.gov","contributorId":4200,"corporation":false,"usgs":true,"family":"Gallo","given":"Kevin","email":"kgallo@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":false,"id":345143,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eidenshink, Jeffery C. eidenshink@usgs.gov","contributorId":1352,"corporation":false,"usgs":true,"family":"Eidenshink","given":"Jeffery","email":"eidenshink@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":345142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dwyer, John L. 0000-0002-8281-0896 dwyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8281-0896","contributorId":3481,"corporation":false,"usgs":true,"family":"Dwyer","given":"John","email":"dwyer@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":345144,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70000224,"text":"70000224 - 2008 - Spatial patterns and movements of red king and Tanner crabs: Implications for the design of marine protected areas","interactions":[],"lastModifiedDate":"2017-05-10T18:12:26","indexId":"70000224","displayToPublicDate":"2010-09-28T23:09:25","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Spatial patterns and movements of red king and Tanner crabs: Implications for the design of marine protected areas","docAbstract":"Most examples of positive population responses to marine protected areas (MPAs) have been documented for tropical reef species with very small home ranges; the utility of MPAs for commercially harvested temperate species that have large movement patterns remains poorly tested. We measured the distribution and abundance of red king Paralithodes camtschaticus and Tanner Chionoecetes bairdi crabs inside and outside of MPAs in Glacier Bay National Park, Alaska, USA. By tagging a sub-sample of crabs with sonic tags, we estimated the movement of adult crabs from one of the MPAs (Muir Inlet) into the central portion of Glacier Bay where fishing still occurs. Tanner crabs and red king crabs moved similar average distances per day, although Tanner crabs had a higher transfer out of the Muir Inlet MPA into the central bay. Tanner crab movements were characterized by large variation among individual crabs, both in distance and direction traveled, while red king crabs migrated seasonally between 2 specific areas. Although Tanner crabs exhibited relatively large movements, distribution and abundance data suggest that they may be restricted at large spatial scales by habitat barriers. MPAs that are effective at protecting king and especially Tanner crab brood stock from fishing mortality will likely need to be larger than is typical of MPAs worldwide. However, by incorporating information on the seasonal movements of red king crabs and the location of habitat barriers for Tanner crabs, MPAs could likely be designed that would effectively protect adults from fishing mortality. ?? Inter-Research 2008.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Ecology Progress Series","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.3354/meps07493","issn":"01718630","usgsCitation":"Taggart, S.J., Mondragon, J., Andrews, A., and Nielsen, J., 2008, Spatial patterns and movements of red king and Tanner crabs: Implications for the design of marine protected areas: Marine Ecology Progress Series, v. 365, p. 151-163, https://doi.org/10.3354/meps07493.","startPage":"151","endPage":"163","costCenters":[],"links":[{"id":476493,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps07493","text":"Publisher Index Page"},{"id":18730,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/meps07493"},{"id":203651,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"365","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a60e4b07f02db635440","contributors":{"authors":[{"text":"Taggart, S. James","contributorId":30131,"corporation":false,"usgs":true,"family":"Taggart","given":"S.","email":"","middleInitial":"James","affiliations":[],"preferred":false,"id":345146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mondragon, Jennifer","contributorId":57580,"corporation":false,"usgs":false,"family":"Mondragon","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":345147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andrews, A.G.","contributorId":92401,"corporation":false,"usgs":true,"family":"Andrews","given":"A.G.","email":"","affiliations":[],"preferred":false,"id":345149,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nielsen, J.K.","contributorId":84488,"corporation":false,"usgs":true,"family":"Nielsen","given":"J.K.","email":"","affiliations":[],"preferred":false,"id":345148,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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