{"pageNumber":"14","pageRowStart":"325","pageSize":"25","recordCount":686,"records":[{"id":70034184,"text":"70034184 - 2011 - Evaluation of single and two-stage adaptive sampling designs for estimation of density and abundance of freshwater mussels in a large river","interactions":[],"lastModifiedDate":"2013-05-07T09:27:23","indexId":"70034184","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of single and two-stage adaptive sampling designs for estimation of density and abundance of freshwater mussels in a large river","docAbstract":"Reliable estimates of abundance are needed to assess consequences of proposed habitat restoration and enhancement projects on freshwater mussels in the Upper Mississippi River (UMR). Although there is general guidance on sampling techniques for population assessment of freshwater mussels, the actual performance of sampling designs can depend critically on the population density and spatial distribution at the project site. To evaluate various sampling designs, we simulated sampling of populations, which varied in density and degree of spatial clustering. Because of logistics and costs of large river sampling and spatial clustering of freshwater mussels, we focused on adaptive and non-adaptive versions of single and two-stage sampling. The candidate designs performed similarly in terms of precision (CV) and probability of species detection for fixed sample size. Both CV and species detection were determined largely by density, spatial distribution and sample size. However, designs did differ in the rate that occupied quadrats were encountered. Occupied units had a higher probability of selection using adaptive designs than conventional designs. We used two measures of cost: sample size (i.e. number of quadrats) and distance travelled between the quadrats. Adaptive and two-stage designs tended to reduce distance between sampling units, and thus performed better when distance travelled was considered. Based on the comparisons, we provide general recommendations on the sampling designs for the freshwater mussels in the UMR, and presumably other large rivers.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/rra.1334","issn":"15351459","usgsCitation":"Smith, D., Rogala, J.T., Gray, B., Zigler, S.J., and Newton, T., 2011, Evaluation of single and two-stage adaptive sampling designs for estimation of density and abundance of freshwater mussels in a large river: River Research and Applications, v. 27, no. 1, p. 122-133, https://doi.org/10.1002/rra.1334.","productDescription":"12 p.","startPage":"122","endPage":"133","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":216635,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.1334"},{"id":244517,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-01-04","publicationStatus":"PW","scienceBaseUri":"505a0cc3e4b0c8380cd52caf","contributors":{"authors":[{"text":"Smith, D. R. 0000-0001-6074-9257","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":44108,"corporation":false,"usgs":true,"family":"Smith","given":"D. R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":444493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogala, J. T.","contributorId":28572,"corporation":false,"usgs":true,"family":"Rogala","given":"J.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":444492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, B. R. 0000-0001-7682-9550","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":14785,"corporation":false,"usgs":true,"family":"Gray","given":"B. R.","affiliations":[],"preferred":false,"id":444490,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zigler, S. J.","contributorId":21513,"corporation":false,"usgs":true,"family":"Zigler","given":"S.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":444491,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Newton, T.J.","contributorId":104428,"corporation":false,"usgs":true,"family":"Newton","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":444494,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70033970,"text":"70033970 - 2011 - Classification of MEC with the ALLTEM at Camp Stanley, Texas","interactions":[],"lastModifiedDate":"2012-03-12T17:21:47","indexId":"70033970","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3317,"text":"SEG Technical Program Expanded Abstracts","active":true,"publicationSubtype":{"id":10}},"title":"Classification of MEC with the ALLTEM at Camp Stanley, Texas","docAbstract":"The ALLTEM is a multi-axis electromagnetic induction system designed for unexploded ordnance UXO applications. It uses a continuous triangle-wave excitation and provides good late-time signal-to-noise ratio SNR especially for ferrous targets. Multi-axis transmitter Tx and receiver Rx systems such as ALLTEM provide a richer data set from which to invert for the target parameters required to distinguish between clutter and UXO. Inversions of field data acquired between 2006 and 2010 over the Army's UXO Standardized Test sites at the Yuma Proving Ground YPG in Arizona and at the Aberdeen Proving Ground APG in Maryland have produced reasonable and generally repeatable results for many UXO items buried at different orientations and depths. In February-March 2011 ALLTEM data was acquired at two locations on the Camp Stanley Storage Activity CSSA just north of San Antonio, Texas. Camp Stanley is used to store munitions as well as test, fire, and overhaul munitions components. Site B-20 is an open burn/open detonation OBOD area and Site B-27 consists of narrow trenches blasted into limestone containing buried range and munitions debris and possibly MEC. The processing, analysis, and classification techniques developed at the controlled environments of YPG and APG have been applied to these two \"live\" sites at Camp Stanley. ALLTEM data analysis includes both classical numerical inversion of data from each anomaly and clustering of the raw data by means of a self-organizing map SOM via generalized neural network algorithms. Final classification consists of an integration of both the numerical and SOM results. ?? 2011 Society of Exploration Geophysicists.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"SEG Technical Program Expanded Abstracts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1190/1.3627456","issn":"10523812","usgsCitation":"Asch, T., Moulton, C., and Smith, D., 2011, Classification of MEC with the ALLTEM at Camp Stanley, Texas: SEG Technical Program Expanded Abstracts, v. 30, no. 1, p. 1363-1367, https://doi.org/10.1190/1.3627456.","startPage":"1363","endPage":"1367","numberOfPages":"5","costCenters":[],"links":[{"id":216860,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1190/1.3627456"},{"id":244758,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-05-25","publicationStatus":"PW","scienceBaseUri":"5059f618e4b0c8380cd4c5b7","contributors":{"authors":[{"text":"Asch, T.","contributorId":95709,"corporation":false,"usgs":true,"family":"Asch","given":"T.","email":"","affiliations":[],"preferred":false,"id":443459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moulton, C.","contributorId":24198,"corporation":false,"usgs":true,"family":"Moulton","given":"C.","email":"","affiliations":[],"preferred":false,"id":443457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, D.V.","contributorId":31143,"corporation":false,"usgs":true,"family":"Smith","given":"D.V.","email":"","affiliations":[],"preferred":false,"id":443458,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70036272,"text":"70036272 - 2011 - Host and viral ecology determine bat rabies seasonality and maintenance","interactions":[],"lastModifiedDate":"2012-03-12T17:22:02","indexId":"70036272","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Host and viral ecology determine bat rabies seasonality and maintenance","docAbstract":"Rabies is an acute viral infection that is typically fatal. Most rabies modeling has focused on disease dynamics and control within terrestrial mammals (e.g., raccoons and foxes). As such, rabies in bats has been largely neglected until recently. Because bats have been implicated as natural reservoirs for several emerging zoonotic viruses, including SARS-like corona viruses, henipaviruses, and lyssaviruses, understanding how pathogens are maintained within a population becomes vital. Unfortunately, little is known about maintenance mechanisms for any pathogen in bat populations. We present a mathematical model parameterized with unique data from an extensive study of rabies in a Colorado population of big brown bats (Eptesicus fuscus) to elucidate general maintenance mechanisms. We propose that life history patterns of many species of temperate-zone bats, coupled with sufficiently long incubation periods, allows for rabies virus maintenance. Seasonal variability in bat mortality rates, specifically low mortality during hibernation, allows long-term bat population viability. Within viable bat populations, sufficiently long incubation periods allow enough infected individuals to enter hibernation and survive until the following year, and hence avoid an epizootic fadeout of rabies virus. We hypothesize that the slowing effects of hibernation on metabolic and viral activity maintains infected individuals and their pathogens until susceptibles from the annual birth pulse become infected and continue the cycle. This research provides a context to explore similar host ecology and viral dynamics that may explain seasonal patterns and maintenance of other bat-borne diseases.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of the National Academy of Sciences of the United States of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1073/pnas.1010875108","issn":"00278424","usgsCitation":"George, D., Webb, C., Farnsworth, M.L., O'Shea, T., Bowen, R.A., Smith, D., Stanley, T., Ellison, L., and Rupprecht, C.E., 2011, Host and viral ecology determine bat rabies seasonality and maintenance: Proceedings of the National Academy of Sciences of the United States of America, v. 108, no. 25, p. 10208-10213, https://doi.org/10.1073/pnas.1010875108.","startPage":"10208","endPage":"10213","numberOfPages":"6","costCenters":[],"links":[{"id":475263,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zotero.org/groups/5435545/items/5H2YEL3D","text":"External Repository"},{"id":218575,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1073/pnas.1010875108"},{"id":246600,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"108","issue":"25","noUsgsAuthors":false,"publicationDate":"2011-06-06","publicationStatus":"PW","scienceBaseUri":"505a322ce4b0c8380cd5e5a5","contributors":{"authors":[{"text":"George, D.B.","contributorId":17865,"corporation":false,"usgs":true,"family":"George","given":"D.B.","email":"","affiliations":[],"preferred":false,"id":455202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, C.T.","contributorId":84199,"corporation":false,"usgs":true,"family":"Webb","given":"C.T.","affiliations":[],"preferred":false,"id":455208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farnsworth, Matthew L.","contributorId":56473,"corporation":false,"usgs":false,"family":"Farnsworth","given":"Matthew","email":"","middleInitial":"L.","affiliations":[{"id":12434,"text":"USDA, Wildlife Services, National Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":455205,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O'Shea, T. J. 0000-0002-0758-9730","orcid":"https://orcid.org/0000-0002-0758-9730","contributorId":50100,"corporation":false,"usgs":true,"family":"O'Shea","given":"T. J.","affiliations":[],"preferred":false,"id":455204,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bowen, R. A.","contributorId":80623,"corporation":false,"usgs":false,"family":"Bowen","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":455207,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, D.L.","contributorId":41833,"corporation":false,"usgs":true,"family":"Smith","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":455203,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stanley, T.R.","contributorId":61379,"corporation":false,"usgs":true,"family":"Stanley","given":"T.R.","affiliations":[],"preferred":false,"id":455206,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ellison, L.E.","contributorId":103610,"corporation":false,"usgs":true,"family":"Ellison","given":"L.E.","email":"","affiliations":[],"preferred":false,"id":455210,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rupprecht, C. E.","contributorId":101602,"corporation":false,"usgs":false,"family":"Rupprecht","given":"C.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":455209,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70039061,"text":"70039061 - 2010 - Stratospheric microbiology at 20 km over the Pacific Ocean","interactions":[],"lastModifiedDate":"2017-05-11T21:29:44","indexId":"70039061","displayToPublicDate":"2012-01-01T14:14:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":667,"text":"Aerobiologia","active":true,"publicationSubtype":{"id":10}},"title":"Stratospheric microbiology at 20 km over the Pacific Ocean","docAbstract":"An aerobiology sampling flight at 20 km was conducted on 28 April 2008 over the Pacific Ocean (36.5° N, 118–149° W), a period of time that coincided with the movement of Asian dust across the ocean. The aim of this study was to confirm the presence of viable bacteria and fungi within a transoceanic, atmospheric bridge and to improve the resolution of flight hardware processing techniques. Isolates of the microbial strains recovered were analyzed with ribosomal ribonucleic acid (rRNA) sequencing to identify bacterial species Bacillus sp., Bacillus subtilis, Bacillus endophyticus, and the fungal genus Penicillium. Satellite imagery and ground-based radiosonde observations were used to measure dust movement and characterize the high-altitude environment at the time of collection. Considering the atmospheric residency time (7–10 days), the extreme temperature regime of the environment (-75°C), and the absence of a mechanism that could sustain particulates at high altitude, it is unlikely that our samples indicate a permanent, stratospheric ecosystem. However, the presence of viable fungi and bacteria in transoceanic stratosphere remains relevant to understanding the distribution and extent of microbial life on Earth.","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10453-009-9141-7","usgsCitation":"Smith, D., Griffin, D.W., and Schuerger, A.C., 2010, Stratospheric microbiology at 20 km over the Pacific Ocean: Aerobiologia, v. 26, no. 1, p. 35-46, https://doi.org/10.1007/s10453-009-9141-7.","productDescription":"12 p.","startPage":"35","endPage":"46","costCenters":[{"id":281,"text":"Florida Integrated Science Center-Tallahassee","active":false,"usgs":true},{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":475514,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10453-009-9141-7","text":"Publisher Index Page"},{"id":258994,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Pacific Ocean","volume":"26","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-11-11","publicationStatus":"PW","scienceBaseUri":"505b9a58e4b08c986b31c8b6","contributors":{"authors":[{"text":"Smith, David J.","contributorId":76565,"corporation":false,"usgs":true,"family":"Smith","given":"David J.","affiliations":[],"preferred":false,"id":465544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffin, Dale W. 0000-0003-1719-5812 dgriffin@usgs.gov","orcid":"https://orcid.org/0000-0003-1719-5812","contributorId":2178,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale","email":"dgriffin@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":465542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schuerger, Andrew C.","contributorId":17444,"corporation":false,"usgs":true,"family":"Schuerger","given":"Andrew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":465543,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98928,"text":"ofr20101259 - 2010 - Helicopter electromagnetic and magnetic geophysical survey data, portions of the North Platte and South Platte Natural Resources Districts, western Nebraska, May 2009","interactions":[{"subject":{"id":98031,"text":"ofr20091110 - 2009 - Helicopter Electromagnetic and Magnetic Geophysical Survey Data for Portions of the North Platte River and Lodgepole Creek, Nebraska, June 2008","indexId":"ofr20091110","publicationYear":"2009","noYear":false,"title":"Helicopter Electromagnetic and Magnetic Geophysical Survey Data for Portions of the North Platte River and Lodgepole Creek, Nebraska, June 2008"},"predicate":"SUPERSEDED_BY","object":{"id":98928,"text":"ofr20101259 - 2010 - Helicopter electromagnetic and magnetic geophysical survey data, portions of the North Platte and South Platte Natural Resources Districts, western Nebraska, May 2009","indexId":"ofr20101259","publicationYear":"2010","noYear":false,"title":"Helicopter electromagnetic and magnetic geophysical survey data, portions of the North Platte and South Platte Natural Resources Districts, western Nebraska, May 2009"},"id":1}],"lastModifiedDate":"2017-05-22T10:58:20","indexId":"ofr20101259","displayToPublicDate":"2010-12-14T00:00:00","publicationYear":"2010","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":"2010-1259","title":"Helicopter electromagnetic and magnetic geophysical survey data, portions of the North Platte and South Platte Natural Resources Districts, western Nebraska, May 2009","docAbstract":"This report is a release of digital data from a helicopter electromagnetic and magnetic survey that was conducted during June 2009 in areas of western Nebraska as part of a joint hydrologic study by the North Platte Natural Resource District (NRD), South Platte NRD, and U.S. Geological Survey (USGS). Flight lines for the survey totaled 937 line kilometers (582 line miles). The objective of the contracted survey, conducted by Fugro Airborne, Ltd., is to improve the understanding of the relation between surface-water and groundwater systems critical to developing groundwater models used in management programs for water resources. A unique aspect of the survey is the flight line layout. One set of flight lines was flown in a zig-zag pattern extending along the length of the previously collected airborne data. The success of this survey design depended on a well-understood regional hydrogeologic framework and model developed by the Cooperative Hydrologic Study of the Platte River Basin and the airborne geophysical data collected in 2008. Resistivity variations along lines could be related to this framework. In addition to these lines, more traditional surveys consisting of parallel flight lines, separated by about 400 meters were carried out for three blocks in the North Platte NRD, the South Platte NRD and in the area of Crescent Lakes. These surveys helped to establish the spatial variations of the resistivity of hydrostratigraphic units. An additional survey was flown over the Crescent Lake area. The objective of this survey, funded by the USGS Office of Groundwater, was to map shallow hydrogeologic features of the southwestern part of the Sand Hills that contain a mix of fresh to saline lakes.\r\n","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101259","collaboration":"Prepared in cooperation with the North Platte and South Platte Natural Resource Districts\r\n","usgsCitation":"Smith, B.D., Abraham, J., Cannia, J.C., Minsley, B., Deszcz-Pan, M., and Ball, L., 2010, Helicopter electromagnetic and magnetic geophysical survey data, portions of the North Platte and South Platte Natural Resources Districts, western Nebraska, May 2009 (Version 1.1: December 10, 2010; Revised May 15, 2017): U.S. Geological Survey Open-File Report 2010-1259, Report: 33 p.; Downloads Directory, https://doi.org/10.3133/ofr20101259.","productDescription":"Report: 33 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2009-05-01","temporalEnd":"2009-05-31","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":126117,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1259.bmp"},{"id":341526,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://pubs.usgs.gov/of/2010/1259/downloads/","text":"Downloads Directory","linkFileType":{"id":5,"text":"html"},"linkHelpText":"Contains: associated data files. Refer to the Readme and Metadata files for more information."},{"id":341525,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1259/downloads/REPORT/OF10-1259.pdf","text":"Report","size":"3.6 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":341189,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2010/1259/versionHist.txt","size":"1 kB"},{"id":14351,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1259/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.5,41 ], [ -104.5,42.5 ], [ -101.5,42.5 ], [ -101.5,41 ], [ -104.5,41 ] ] ] } } ] }","edition":"Version 1.1: December 10, 2010; Revised May 15, 2017","revisedDate":"2017-05-15","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a61e4b07f02db635d8c","contributors":{"authors":[{"text":"Smith, B. D.","contributorId":71123,"corporation":false,"usgs":true,"family":"Smith","given":"B.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":306962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abraham, J.D.","contributorId":20686,"corporation":false,"usgs":true,"family":"Abraham","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":306959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cannia, J. C.","contributorId":105258,"corporation":false,"usgs":true,"family":"Cannia","given":"J.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":306964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minsley, B. J.","contributorId":52107,"corporation":false,"usgs":true,"family":"Minsley","given":"B. 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,{"id":70179780,"text":"70179780 - 2010 - Progression of stream bank erosion dudring a large flood, Rio Puerco, New Mexico","interactions":[],"lastModifiedDate":"2017-04-12T10:55:34","indexId":"70179780","displayToPublicDate":"2010-12-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Progression of stream bank erosion dudring a large flood, Rio Puerco, New Mexico","docAbstract":"In August 2006, a large flood following saltcedar control efforts through a 12-km long segment of the Rio Puerco arroyo resulted in extensive lateral erosion of the streambanks. Almost all woody vegetation on the floodplain and channel banks had been killed by aerial spraying with herbicide in September 2003. During the flood, dead woody bank stems were either removed by the >4-m-deep flood flow or flattened against the bank, eliminating the source of drag that would have protected the banks from erosion. Owing to downstream variation in the shear stresses on the\nchannel banks and floodplain, lateral erosion of the channel banks was highly variable within the sprayed reach, but channel width increased by an average of 84%. Locations and magnitudes of channel bank erosion were documented from high-resolution imagery and a post-flood (January 2007) high-precision Global Positioning System survey.\n\nTopographic data collected during the January 2007 field survey combined with geomorphic mapping from imagery provided a means to infer the progression and relative timing of bank erosion during the flood. Observations and calculations indicate channel widening resulted from a combination of direct fluvial erosion of the lower banks and mass failures of the upper banks. Applications of physically based models of flow and sediment transport demonstrate the relative influence of local floodplain slope, arroyo topography, and orientation of the channel centerline relative to the down-valley axis on bank erosion. Differences in suspended sand concentrations computed using model-calculated “skin friction” shear stress quantify the erosion rate at a site where channel width doubled\nduring the flood.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 2nd Joint Federal Interagency Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2nd Joint Federal Interagency Conference","conferenceDate":"June 27 – July 1, 2010","conferenceLocation":"Las Vegas, NV","language":"English","usgsCitation":"Griffin, E.R., Smith, J.D., Friedman, J.M., and Vincent, K.R., 2010, Progression of stream bank erosion dudring a large flood, Rio Puerco, New Mexico, <i>in</i> Proceedings of the 2nd Joint Federal Interagency Conference, Las Vegas, NV, June 27 – July 1, 2010, 12 p.","productDescription":"12 p.","ipdsId":"IP-019850","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":339609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":333274,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/2ndJFIC/Contents/11D_Griffin_02_26_10.pdf"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ef3dace4b0eed1ab8e3be8","contributors":{"authors":[{"text":"Griffin, Eleanor R. 0000-0001-6724-9853 egriffin@usgs.gov","orcid":"https://orcid.org/0000-0001-6724-9853","contributorId":1775,"corporation":false,"usgs":true,"family":"Griffin","given":"Eleanor","email":"egriffin@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":658669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, J. Dungan","contributorId":44961,"corporation":false,"usgs":true,"family":"Smith","given":"J.","email":"","middleInitial":"Dungan","affiliations":[],"preferred":false,"id":690748,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":658670,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vincent, Kirk R.","contributorId":75073,"corporation":false,"usgs":true,"family":"Vincent","given":"Kirk","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":690749,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98801,"text":"ofr20101231 - 2010 - U.S. Geological Survey Science for the Wyoming Landscape Conservation Initiative-2009 Annual Report","interactions":[],"lastModifiedDate":"2025-05-15T14:03:47.167481","indexId":"ofr20101231","displayToPublicDate":"2010-10-07T00:00:00","publicationYear":"2010","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":"2010-1231","title":"U.S. Geological Survey Science for the Wyoming Landscape Conservation Initiative-2009 Annual Report","docAbstract":"This is the second report produced by the U.S. Geological Survey (USGS) for the Wyoming Landscape Conservation Initiative (WLCI) to detail annual work activities. The first report described work activities for 2007 and 2008; this report covers work activities conducted in 2009. Important differences between the two reports are that (1) this report does not lump all the Effectiveness Monitoring activities together as last year's report did, which will allow WLCI partners and other readers to fully appreciate the scope and accomplishments of those activities, and (2) this report does not include a comprehensive appendix of the background details for each work activity. In 2009, there were 29 ongoing or completed activities, and there were 5 new work activities conducted under the 5 original major multi-disciplinary science and technical assistance activities: (1) Baseline Synthesis; (2) Targeted Monitoring and Research; (3) Data and Information Management; (4) Integration and Coordination; and (5) Decisionmaking and Evaluation. New work included (1) developing a soil-quality index, (2) developing methods for assessing levels of and relationships between mercury and soil organic matter, and (3) ascertaining element source, mobility, and fate. Additionally, (4) remotely sensed imagery was used to assess vegetation as an indicator of soil condition and geology, and (5) an Integrated Assessment (IA) was initiated to synthesize what has been learned about WLCI systems to date, and to develop associated decision tools, maps, and a comprehensive report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101231","usgsCitation":"Bowen, Z.H., Aldridge, C.L., Anderson, P.J., Assal, T.J., Biewick, L.R., Blecker, S.W., Bristol, R.S., Carr, N.B., Chalfoun, A.D., Chong, G.W., Diffendorfer, J., Fedy, B., Garman, S.L., Germaine, S.S., Grauch, R.I., Holloway, J.M., Homer, C.G., Kauffman, M., Keinath, D., Latysh, N., Manier, D.J., McDougal, R.R., Melcher, C.P., Miller, K.A., Montag, J., Nutt, C.J., Potter, C.J., Sawyer, H., Schell, S., Shafer, S.L., Smith, D., Stillings, L., Tuttle, M., and Wilson, A.B., 2010, U.S. Geological Survey Science for the Wyoming Landscape Conservation Initiative-2009 Annual Report: U.S. Geological Survey Open-File Report 2010-1231, ix, 105 p., https://doi.org/10.3133/ofr20101231.","productDescription":"ix, 105 p.","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":126155,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/ofr_2010_1231.jpg"},{"id":14212,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1231/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111,41 ], [ -111,43.5 ], [ -106.5,43.5 ], [ -106.5,41 ], [ -111,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd48ffe4b0b290850eecae","contributors":{"authors":[{"text":"Bowen, Zachary H. 0000-0002-8656-1831 bowenz@usgs.gov","orcid":"https://orcid.org/0000-0002-8656-1831","contributorId":821,"corporation":false,"usgs":true,"family":"Bowen","given":"Zachary","email":"bowenz@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":306538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":306532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Patrick J. 0000-0003-2281-389X andersonpj@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-389X","contributorId":3590,"corporation":false,"usgs":true,"family":"Anderson","given":"Patrick","email":"andersonpj@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":306540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Assal, Timothy J. 0000-0001-6342-2954 assalt@usgs.gov","orcid":"https://orcid.org/0000-0001-6342-2954","contributorId":2203,"corporation":false,"usgs":true,"family":"Assal","given":"Timothy","email":"assalt@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":306543,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Biewick, Laura R. 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0000-0002-9011-8891 stilling@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-8891","contributorId":3143,"corporation":false,"usgs":true,"family":"Stillings","given":"Lisa L.","email":"stilling@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":306529,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Tuttle, Michele L. mtuttle@usgs.gov","contributorId":1028,"corporation":false,"usgs":true,"family":"Tuttle","given":"Michele L.","email":"mtuttle@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":306519,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Wilson, Anna B. 0000-0002-9737-2614 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,{"id":70217565,"text":"70217565 - 2010 - Age and sex specific timing, frequency, and spatial distribution of horseshoe crab spawning in Delaware Bay: Insights from a large-scale radio telemetry array","interactions":[],"lastModifiedDate":"2021-01-21T23:39:59.605592","indexId":"70217565","displayToPublicDate":"2010-10-01T16:42:39","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1362,"text":"Current Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Age and sex specific timing, frequency, and spatial distribution of horseshoe crab spawning in Delaware Bay: Insights from a large-scale radio telemetry array","docAbstract":"<p><span>To study horseshoe crab&nbsp;</span><i>Limulus polyphemus</i><span>&nbsp;spawning behavior and migration over a large-spatial extent (&gt;100 km), we arrayed fixed station radio receivers throughout Delaware Bay and deployed radio transmitters and archival tags on adult horseshoe crabs prior to their spawning season. We tagged and released 160 females and 60 males in 2004 and 217 females in 2005. The array covered approximately 140 km of shoreline. Recapture rates were &gt;70% with multi-year recaptures. We categorized adult age by carapace wear. Older females tended to spawn earlier in the season and more frequently than young females, but those tendencies were more apparent in 2004 when spawning overall occurred earlier than in 2005 when spawning was delayed possibly due to decreased water temperatures. Timing of initial spawning within a year was correlated with water temperature. After adjusting for day of first spring tide, the day of first spawning was 4 days earlier for every 1 degree (̊C) rise in mean daily water temperature in May. Seventy nine % of spawning occurred during nighttime high tides. Fifty five % of spawning occurred within 3 d of a spring tide, which was slightly higher than the 47% expected if spawning was uniformly distributed regardless of tidal cycle. Within the same spawning season, males and females were observed spawning or intertidally resting at more than one beach separated by &gt;5 km. Between years, most (77%) did not return to spawn at the same beach. Probability of stranding was strongly age dependent for males and females with older adults experiencing higher stranding rates. Horseshoe crabs staging in the shallow waters east of the channel spawned exclusively along the eastern (NJ) shoreline, but those staging west of the channel spawned throughout the bay. Overall, several insights emerged from the use of radio telemetry, which advances our understanding of horseshoe crab ecology and will be useful in conserving the Delaware Bay horseshoe crab population and habitats.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/czoolo/56.5.563","usgsCitation":"Smith, D.R., Brousseau, L.J., Mandt, M.T., and Millard, M.J., 2010, Age and sex specific timing, frequency, and spatial distribution of horseshoe crab spawning in Delaware Bay: Insights from a large-scale radio telemetry array: Current Zoology, v. 56, no. 5, p. 563-574, https://doi.org/10.1093/czoolo/56.5.563.","productDescription":"12 p.","startPage":"563","endPage":"574","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":475656,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/czoolo/56.5.563","text":"Publisher Index Page"},{"id":382468,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, New Jersey","otherGeospatial":"Delaware Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.6134033203125,\n              38.70694605159386\n            ],\n            [\n              -74.849853515625,\n              38.70694605159386\n            ],\n            [\n              -74.849853515625,\n              39.53370327008705\n            ],\n            [\n              -75.6134033203125,\n              39.53370327008705\n            ],\n            [\n              -75.6134033203125,\n              38.70694605159386\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"56","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":808688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brousseau, L. J.","contributorId":24534,"corporation":false,"usgs":false,"family":"Brousseau","given":"L.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":808689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mandt, Mary T.","contributorId":248260,"corporation":false,"usgs":false,"family":"Mandt","given":"Mary","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":808690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Millard, Michael J.","contributorId":23411,"corporation":false,"usgs":false,"family":"Millard","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":808691,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98685,"text":"ofr20101162 - 2010 - Analytical results for municipal biosolids samples from a monitoring program near Deer Trail, Colorado (U.S.A.), 2009","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"ofr20101162","displayToPublicDate":"2010-09-11T00:00:00","publicationYear":"2010","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":"2010-1162","title":"Analytical results for municipal biosolids samples from a monitoring program near Deer Trail, Colorado (U.S.A.), 2009","docAbstract":"Since late 1993, Metro Wastewater Reclamation District of Denver, a large wastewater treatment plant in Denver, Colo., has applied Grade I, Class B biosolids to about 52,000 acres of nonirrigated farmland and rangeland near Deer Trail, Colo., U.S.A. In cooperation with the Metro District in 1993, the U.S. Geological Survey began monitoring groundwater at part of this site. In 1999, the Survey began a more comprehensive monitoring study of the entire site to address stakeholder concerns about the potential chemical effects of biosolids applications to water, soil, and vegetation. This more comprehensive monitoring program has recently been extended through the end of 2010. Monitoring components of the more comprehensive study include biosolids collected at the wastewater treatment plant, soil, crops, dust, alluvial and bedrock groundwater, and stream-bed sediment. Streams at the site are dry most of the year, so samples of stream-bed sediment deposited after rain were used to indicate surface-water effects. This report presents analytical results for the biosolids samples collected at the Metro District wastewater treatment plant in Denver and analyzed for 2009.\r\n\r\nIn general, the objective of each component of the study was to determine whether concentrations of nine trace elements ('priority analytes') (1) were higher than regulatory limits, (2) were increasing with time, or (3) were significantly higher in biosolids-applied areas than in a similar farmed area where biosolids were not applied.\r\n\r\nPrevious analytical results indicate that the elemental composition of biosolids from the Denver plant was consistent during 1999-2008, and this consistency continues with the samples for 2009. Total concentrations of regulated trace elements remain consistently lower than the regulatory limits for the entire monitoring period. Concentrations of none of the priority analytes appear to have increased during the 11 years of this study.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101162","usgsCitation":"Crock, J., Smith, D.B., Yager, T.J., Berry, C., and Adams, M.G., 2010, Analytical results for municipal biosolids samples from a monitoring program near Deer Trail, Colorado (U.S.A.), 2009: U.S. Geological Survey Open-File Report 2010-1162, iii, 23 p., https://doi.org/10.3133/ofr20101162.","productDescription":"iii, 23 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":116008,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1162.jpg"},{"id":14091,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1162/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104,39.416666666666664 ], [ -104,39.73444444444444 ], [ -103.7,39.73444444444444 ], [ -103.7,39.416666666666664 ], [ -104,39.416666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c91f","contributors":{"authors":[{"text":"Crock, J.G.","contributorId":58236,"corporation":false,"usgs":true,"family":"Crock","given":"J.G.","email":"","affiliations":[],"preferred":false,"id":306122,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, D. B. davidsmith@usgs.gov","contributorId":12840,"corporation":false,"usgs":true,"family":"Smith","given":"D.","email":"davidsmith@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":false,"id":306120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yager, T. J. B.","contributorId":77256,"corporation":false,"usgs":true,"family":"Yager","given":"T.","email":"","middleInitial":"J. B.","affiliations":[],"preferred":false,"id":306123,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berry, C. J.","contributorId":52680,"corporation":false,"usgs":true,"family":"Berry","given":"C. J.","affiliations":[],"preferred":false,"id":306121,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, M. G.","contributorId":84812,"corporation":false,"usgs":true,"family":"Adams","given":"M.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":306124,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98658,"text":"ds520 - 2010 - Geochemical data for Colorado soils: Results from the 2006 state-scale geochemical survey","interactions":[],"lastModifiedDate":"2025-05-14T19:27:59.165791","indexId":"ds520","displayToPublicDate":"2010-09-02T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"520","title":"Geochemical data for Colorado soils: Results from the 2006 state-scale geochemical survey","docAbstract":"In 2006, soil samples were collected at 960 sites (1 site per 280 square kilometers) throughout the state of Colorado. These samples were collected from a depth of 0-15 centimeters and, following a near-total multi-acid digestion, were analyzed for a suite of more than 40 major and trace elements. The resulting data set provides a baseline for the natural variation in soil geochemistry for Colorado and forms the basis for detecting changes in soil composition that might result from natural processes or anthropogenic activities. This report describes the sampling and analytical protocols used and makes available all the soil geochemical data generated in the study.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds520","usgsCitation":"Smith, D., Ellefsen, K.J., and Kilburn, J.E., 2010, Geochemical data for Colorado soils: Results from the 2006 state-scale geochemical survey: U.S. Geological Survey Data Series 520, iv, 9 p., https://doi.org/10.3133/ds520.","productDescription":"iv, 9 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2006-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":14061,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/520/","linkFileType":{"id":5,"text":"html"}},{"id":391586,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_93930.htm"},{"id":116005,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_520.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0444,37 ], [ -109.0444,41 ], [ -102.0419,41 ], [ -102.0419,37 ], [ -109.0444,37 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae50c","contributors":{"authors":[{"text":"Smith, David B. 0000-0001-8396-9105 dsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8396-9105","contributorId":1274,"corporation":false,"usgs":true,"family":"Smith","given":"David B.","email":"dsmith@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":306047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellefsen, Karl J. 0000-0003-3075-4703 ellefsen@usgs.gov","orcid":"https://orcid.org/0000-0003-3075-4703","contributorId":789,"corporation":false,"usgs":true,"family":"Ellefsen","given":"Karl","email":"ellefsen@usgs.gov","middleInitial":"J.","affiliations":[{"id":82803,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":false}],"preferred":true,"id":306046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kilburn, James E.","contributorId":40189,"corporation":false,"usgs":true,"family":"Kilburn","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":306048,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70217567,"text":"70217567 - 2010 - Structured decision-making and rapid prototyping to plan a management response to an invasive species","interactions":[],"lastModifiedDate":"2021-01-21T23:50:41.15525","indexId":"70217567","displayToPublicDate":"2010-06-11T17:42:45","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Structured decision-making and rapid prototyping to plan a management response to an invasive species","docAbstract":"<p><span>We developed components of a decision structure that could be used in an adaptive management framework for responding to invasion of hemlock woolly adelgid&nbsp;</span><i>Adeleges tsugae</i><span>&nbsp;on the Cumberland Plateau of northern Tennessee. Hemlock woolly adelgid, an invasive forest pest, was first detected in this area in 2007. We used a structured decision-making process to identify and refine the management problem, objectives, and alternative management actions, and to assess consequences and tradeoffs among selected management alternatives. We identified four fundamental objectives: 1) conserve the aquatic and terrestrial riparian conservation targets, 2) protect and preserve hemlock, 3) develop and maintain adequate budget, and 4) address public concerns. We designed two prototype responses using an iterative process. By rapidly prototyping a first solution, insights were gained and shortcomings were identified, and some of these shortcomings were incorporated and corrected in the second prototype. We found that objectives were best met when management focused on early treatment of lightly to moderately infested but relatively healthy hemlock stands with biological control agent predator beetles and insect-killing fungi. Also, depending on the cost constraint, early treatment should be coupled with silvicultural management of moderately to severely infested and declining hemlock stands to accelerate conversion to nonhemlock mature forest cover. The two most valuable contributions of the structured decision-making process were 1) clarification and expansion of our objectives, and 2) application of tools to assess tradeoffs and predict consequences of alternative actions. Predicting consequences allowed us to evaluate the influence of uncertainty on the decision. For example, we found that the expected number of mature forest stands over 30&nbsp;y would be increased by 4% by resolving the uncertainty regarding predator beetle effectiveness. The adaptive management framework requires further development including identifying and evaluating uncertainty, formalizing other competing predictive models, designing a monitoring program to update the predictive models, developing a process for re-evaluating the predictive models and incorporating new management technologies, and generating support for planning and implementation.</span></p>","language":"English","publisher":"Allen Press","doi":"10.3996/JFWM-025","usgsCitation":"Blomquist, S.M., Johnson, T.D., Smith, D.R., Call, G.P., Miller, B.N., Thurman, W.M., McFadden, J.E., Parkin, M.J., and Bloomer, G.S., 2010, Structured decision-making and rapid prototyping to plan a management response to an invasive species: Journal of Fish and Wildlife Management, v. 1, no. 1, p. 19-32, https://doi.org/10.3996/JFWM-025.","productDescription":"14 p.","startPage":"19","endPage":"32","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":475716,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-025","text":"Publisher Index Page"},{"id":382470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Blomquist, S. M.","contributorId":103409,"corporation":false,"usgs":false,"family":"Blomquist","given":"S.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":808694,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Trisha D.","contributorId":248261,"corporation":false,"usgs":false,"family":"Johnson","given":"Trisha","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":808695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":808696,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Call, Geoff P.","contributorId":248262,"corporation":false,"usgs":false,"family":"Call","given":"Geoff","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":808697,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Brant N.","contributorId":248263,"corporation":false,"usgs":false,"family":"Miller","given":"Brant","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":808698,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thurman, W. Mark","contributorId":248264,"corporation":false,"usgs":false,"family":"Thurman","given":"W.","email":"","middleInitial":"Mark","affiliations":[],"preferred":false,"id":808699,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McFadden, Jamie E.","contributorId":248265,"corporation":false,"usgs":false,"family":"McFadden","given":"Jamie","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":808700,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Parkin, Mary J.","contributorId":49671,"corporation":false,"usgs":true,"family":"Parkin","given":"Mary","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":808701,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bloomer, G. Scott","contributorId":248266,"corporation":false,"usgs":false,"family":"Bloomer","given":"G.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":808702,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":98415,"text":"ds510 - 2010 - Soil geochemical data for the Wyoming Landscape Conservation Initiative study area","interactions":[],"lastModifiedDate":"2025-05-15T14:05:26.739767","indexId":"ds510","displayToPublicDate":"2010-05-26T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"510","title":"Soil geochemical data for the Wyoming Landscape Conservation Initiative study area","docAbstract":"In 2008, soil samples were collected at 139 sites throughout the Wyoming Landscape Conservation Initiative study area in southwest Wyoming. These samples, representing a density of 1 site per 440 square kilometers, were collected from a depth of 0-5 cm and analyzed for a suite of more than 40 major and trace elements following a near-total multi-acid extraction. In addition, soil pH, electrical conductivity, total nitrogen, total and organic carbon, and sodium adsorption ratio were determined. The resulting data set provides a baseline for detecting changes in soil composition that might result from natural processes or anthropogenic activities. This report describes the sampling and analytical protocols used, and makes available all the soil geochemical data generated in the study.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds510","usgsCitation":"Smith, D., and Ellefsen, K.J., 2010, Soil geochemical data for the Wyoming Landscape Conservation Initiative study area: U.S. Geological Survey Data Series 510, iv, 10 p., https://doi.org/10.3133/ds510.","productDescription":"iv, 10 p.","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2008-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":118460,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_510.jpg"},{"id":13667,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/510/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111,41 ], [ -111,43.5 ], [ -106.5,43.5 ], [ -106.5,41 ], [ -111,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a34e4b07f02db619ce9","contributors":{"authors":[{"text":"Smith, David B. 0000-0001-8396-9105 dsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8396-9105","contributorId":1274,"corporation":false,"usgs":true,"family":"Smith","given":"David B.","email":"dsmith@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":305241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellefsen, Karl J. 0000-0003-3075-4703 ellefsen@usgs.gov","orcid":"https://orcid.org/0000-0003-3075-4703","contributorId":789,"corporation":false,"usgs":true,"family":"Ellefsen","given":"Karl","email":"ellefsen@usgs.gov","middleInitial":"J.","affiliations":[{"id":82803,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":false}],"preferred":true,"id":305240,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70230289,"text":"70230289 - 2010 - Displaying seismic deaggregation: The importance of the various sources","interactions":[],"lastModifiedDate":"2022-04-06T16:13:19.664095","indexId":"70230289","displayToPublicDate":"2010-05-01T09:51:50","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Displaying seismic deaggregation: The importance of the various sources","docAbstract":"<div id=\"12264930\" class=\"article-section-wrapper js-article-section js-content-section  \"><p>Seismic hazard deaggregation has become a standard part of probabilistic seismic hazard assessment (PSHA). The first product of PSHA is calculation of the likely severity of ground motion at a given range of annual probability levels, and this is extremely important for seismic design of structures to be built at the site under examination. However, for full analysis of proposed structural designs, engineers also need to examine scenario events to produce detailed time histories. To select such scenarios, a deaggregation of the hazard is performed, whereby the details of sources that contribute to the annual frequency of exceeding specified levels of ground motion, or<span>&nbsp;</span><i>P</i><sub>exc</sub>, are identified. A common format for such a deaggregation is shown in<span>&nbsp;</span><a class=\"link link-reveal link-table xref-fig\" data-open=\"FIG1\">Figure 1</a>. This relates to the 475-year peak ground acceleration (pga) at Wellington, New Zealand (41.28°S 174.77°E), and shows the distribution in magnitude and distance of sources that contribute to<span>&nbsp;</span><i>P</i><sub>exc</sub>. Return period is approximately the reciprocal of<span>&nbsp;</span><i>P</i><sub>exc</sub>. Stiff soil site conditions (<a class=\"link link-ref link-reveal xref-bibr\" data-open=\"REF17\">Standards New Zealand 2004</a>) were assumed.</p></div><div id=\"12264931\" class=\"article-section-wrapper js-article-section js-content-section  \"><p>The analysis in<span>&nbsp;</span><a class=\"link link-reveal link-table xref-fig\" data-open=\"FIG1\">Figure 1</a><span>&nbsp;</span>used the interim version of the updated seismic hazard model for New Zealand (<a class=\"link link-ref link-reveal xref-bibr\" data-open=\"REF18\">Stirling<span>&nbsp;</span><i>et al.</i><span>&nbsp;</span>2007</a>), with the attenuation function developed by McVerry<span>&nbsp;</span><i>et al.</i><span>&nbsp;</span>(2007). Based on a Poisson time dependence model, a return period of 475 years corresponds to a 10% probability of exceedance in 50 years.</p></div><div id=\"12264932\" class=\"article-section-wrapper js-article-section js-content-section  \"><p>From<span>&nbsp;</span><a class=\"link link-reveal link-table xref-fig\" data-open=\"FIG1\">Figure 1</a>, it is apparent that for this site the main contribution to ground motion of this severity is from earthquakes of magnitude about 7.6 less than 10 km from the site (blue), and there is another strong contribution from larger events in the distance range 10 to 20 km (red). These correspond to the Wellington and Wairarapa faults, respectively (see<span>&nbsp;</span><a class=\"link link-reveal link-table xref-fig\" data-open=\"TBL1\">Table 1</a>). There are other events less than 10 km from the site and small contributions from other sources. At this site the major contributions are from specific faults nearby, which are readily identified. At sites where there is significant background seismicity, however, the plot will be much more complicated and not so easy to interpret.</p></div><div id=\"12264934\" class=\"article-section-wrapper js-article-section js-content-section  \"><p><a class=\"link link-reveal link-table xref-fig\" data-open=\"FIG1\">Figure 1</a><span>&nbsp;</span>deaggregates probabilistic pga at the site; other parameters are also commonly deaggregated in the same way, in particular response spectral acceleration at a variety of natural periods. But the figure has a major shortcoming in that it represents only one return period; to obtain a full appreciation of the various contributing sources it is necessary to perform a succession of analyses to cover the full range of return periods.</p></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/gssrl.81.3.488","usgsCitation":"Smith, W.D., and Harmsen, S., 2010, Displaying seismic deaggregation: The importance of the various sources: Seismological Research Letters, v. 81, no. 3, p. 488-497, https://doi.org/10.1785/gssrl.81.3.488.","productDescription":"10 p.","startPage":"488","endPage":"497","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":398220,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[173.02037,-40.91905],[173.24723,-41.332],[173.95841,-40.9267],[174.24759,-41.34916],[174.24852,-41.77001],[173.87645,-42.23318],[173.22274,-42.97004],[172.71125,-43.37229],[173.08011,-43.85334],[172.30858,-43.86569],[171.45293,-44.24252],[171.18514,-44.8971],[170.6167,-45.90893],[169.83142,-46.35577],[169.33233,-46.64124],[168.41135,-46.61994],[167.76374,-46.2902],[166.67689,-46.21992],[166.50914,-45.8527],[167.04642,-45.11094],[168.30376,-44.12397],[168.94941,-43.93582],[169.66781,-43.55533],[170.52492,-43.03169],[171.12509,-42.51275],[171.56971,-41.76742],[171.94871,-41.51442],[172.09723,-40.9561],[172.79858,-40.49396],[173.02037,-40.91905]]],[[[174.61201,-36.1564],[175.33662,-37.2091],[175.3576,-36.52619],[175.80889,-36.79894],[175.95849,-37.55538],[176.7632,-37.88125],[177.43881,-37.96125],[178.01035,-37.57982],[178.51709,-37.69537],[178.27473,-38.58281],[177.97046,-39.16634],[177.20699,-39.14578],[176.93998,-39.44974],[177.03295,-39.87994],[176.88582,-40.06598],[176.50802,-40.60481],[176.01244,-41.28962],[175.23957,-41.68831],[175.0679,-41.42589],[174.65097,-41.28182],[175.22763,-40.45924],[174.90016,-39.90893],[173.82405,-39.50885],[173.85226,-39.1466],[174.5748,-38.79768],[174.74347,-38.02781],[174.69702,-37.38113],[174.29203,-36.71109],[174.319,-36.53482],[173.841,-36.12198],[173.05417,-35.23713],[172.63601,-34.52911],[173.00704,-34.45066],[173.5513,-35.00618],[174.32939,-35.2655],[174.61201,-36.1564]]]]},\"properties\":{\"name\":\"New Zealand\"}}]}","volume":"81","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Warwick D.","contributorId":289841,"corporation":false,"usgs":false,"family":"Smith","given":"Warwick","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":839879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harmsen, Stephen harmsen@usgs.gov","contributorId":152128,"corporation":false,"usgs":true,"family":"Harmsen","given":"Stephen","email":"harmsen@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":839880,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70103047,"text":"70103047 - 2010 - Introduction to the JEEG Agricultural Geophysics Special Issue","interactions":[],"lastModifiedDate":"2017-11-07T10:25:18","indexId":"70103047","displayToPublicDate":"2010-01-01T09:41:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3928,"text":"Journal of Environmental & Engineering Geophysics","printIssn":"1083-1363","active":true,"publicationSubtype":{"id":10}},"title":"Introduction to the JEEG Agricultural Geophysics Special Issue","docAbstract":"<p>Near-surface geophysical methods have become increasingly important tools in applied agricultural practices and studies. The great advantage of geophysical methods is their potential rapidity, low cost, and spatial continuity when compared to more traditional methods of assessing agricultural land, such as sample collection and laboratory analysis. Agricultural geophysics investigations commonly focus on obtaining information within the soil profile, which generally does not extend much beyond 2 meters beneath the ground surface. Although the depth of interest oftentimes is rather shallow, the area covered by an agricultural geophysics survey can vary widely in scale, from experimental plots (10 s to 100 s of square meters), to farm fields (10 s to 100 s of hectares), up to the size of watersheds (10 s to 100 s of square kilometers). To date, three predominant methods—resistivity, electromagnetic induction (EMI), and ground-penetrating radar (GPR)—have been used to obtain surface-based geophysical measurements within agricultural settings. However, a recent conference on agricultural geophysics (Bouyoucos Conference on Agricultural Geophysics, September 8–10, 2009, Albuquerque, New Mexico; www.ag-geophysics.org) illustrated that other geophysical methods are being applied or developed. These include airborne electromagnetic induction, magnetometry, seismic, and self-potential methods. Agricultural geophysical studies are also being linked to ground water studies that utilize deeper penetrating geophysical methods than normally used.</p>","language":"English","publisher":"Environmental and Engineering Geophysical Society","doi":"10.2113/JEEG15.3.v","usgsCitation":"Allred, B., and Smith, B.D., 2010, Introduction to the JEEG Agricultural Geophysics Special Issue: Journal of Environmental & Engineering Geophysics, v. 15, no. 3, p. v-vi, https://doi.org/10.2113/JEEG15.3.v.","productDescription":"2 p.","startPage":"v","endPage":"vi","ipdsId":"IP-022739","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":286754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286753,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2113/JEEG15.3.v"}],"volume":"15","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-09-21","publicationStatus":"PW","scienceBaseUri":"5360c9efe4b082a3ecf53e0f","contributors":{"authors":[{"text":"Allred, Barry J.","contributorId":23451,"corporation":false,"usgs":true,"family":"Allred","given":"Barry J.","affiliations":[],"preferred":false,"id":493138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Bruce D. 0000-0002-1643-2997 bsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-1643-2997","contributorId":845,"corporation":false,"usgs":true,"family":"Smith","given":"Bruce","email":"bsmith@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":493137,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189022,"text":"70189022 - 2010 - Using airborne geophysical surveys to improve groundwater resource management models","interactions":[],"lastModifiedDate":"2017-06-29T14:37:17","indexId":"70189022","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Using airborne geophysical surveys to improve groundwater resource management models","docAbstract":"<p><span>Increasingly, groundwater management requires more accurate hydrogeologic frameworks for groundwater models. These complex issues have created the demand for innovative approaches to data collection. In complicated terrains, groundwater modelers benefit from continuous high‐resolution geologic maps and their related hydrogeologic‐parameter estimates. The USGS and its partners have collaborated to use airborne geophysical surveys for near‐continuous coverage of areas of the North Platte River valley in western Nebraska. The survey objectives were to map the aquifers and bedrock topography of the area to help improve the understanding of groundwater‐surface‐water relationships, leading to improved water management decisions. Frequency‐domain heliborne electromagnetic surveys were completed, using a unique survey design to collect resistivity data that can be related to lithologic information to refine groundwater model inputs. To render the geophysical data useful to multidimensional groundwater models, numerical inversion is necessary to convert the measured data into a depth‐dependent subsurface resistivity model. This inverted model, in conjunction with sensitivity analysis, geological ground truth (boreholes and surface geology maps), and geological interpretation, is used to characterize hydrogeologic features. Interpreted two‐ and three‐dimensional data coverage provides the groundwater modeler with a high‐resolution hydrogeologic framework and a quantitative estimate of framework uncertainty. This method of creating hydrogeologic frameworks improved the understanding of flow path orientation by redefining the location of the paleochannels and associated bedrock highs. The improved models reflect actual hydrogeology at a level of accuracy not achievable using previous data sets.</span><br></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2010","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2010","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.4133/1.3445449","usgsCitation":"Abraham, J., Cannia, J.C., Peterson, S.M., Smith, B.D., Minsley, B.J., and Bedrosian, P.A., 2010, Using airborne geophysical surveys to improve groundwater resource management models, <i>in</i> Symposium on the Application of Geophysics to Engineering and Environmental Problems 2010, p. 309-314, https://doi.org/10.4133/1.3445449.","productDescription":"6 p.","startPage":"309","endPage":"314","ipdsId":"IP-019253","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343151,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2010-05-17","publicationStatus":"PW","scienceBaseUri":"595611c9e4b0d1f9f0506804","contributors":{"authors":[{"text":"Abraham, Jared D.","contributorId":42630,"corporation":false,"usgs":true,"family":"Abraham","given":"Jared D.","affiliations":[],"preferred":false,"id":702751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cannia, James C.","contributorId":94356,"corporation":false,"usgs":true,"family":"Cannia","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":702752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Steven M. 0000-0002-9130-1284 speterson@usgs.gov","orcid":"https://orcid.org/0000-0002-9130-1284","contributorId":847,"corporation":false,"usgs":true,"family":"Peterson","given":"Steven","email":"speterson@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":702460,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Bruce D. 0000-0002-1643-2997 bsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-1643-2997","contributorId":845,"corporation":false,"usgs":true,"family":"Smith","given":"Bruce","email":"bsmith@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702456,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702455,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702459,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70178483,"text":"70178483 - 2010 - Post-construction monitoring of a Core-Loc™ breakwater using tripod-based LiDAR","interactions":[],"lastModifiedDate":"2017-01-20T10:59:44","indexId":"70178483","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Post-construction monitoring of a Core-Loc™ breakwater using tripod-based LiDAR","docAbstract":"<p>The goal of the technology application described herein is to determine whether breakwater monitoring data collected using Tripod (or Terrestrial) Light Detection and Ranging (T-LiDAR) can give insight into processes such as how Core-Loc™ concrete armour units nest following construction, and in turn how settlement affects armour layer stability, concrete cap performance, and armour unit breakage. &nbsp;A further objective is that this information can then be incorporated into the design of future projects using concrete armour units. &nbsp;The results of this application of T-LiDAR, including the challenges encountered and the conclusions drawn regarding initial concrete armour unit movement will be presented in this paper.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coasts, marine structures and breakwaters: Adapting to change","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Thomas Telford Limitied","doi":"10.1680/cmsb.41301.0039","usgsCitation":"Podoski, J.H., Bawden, G.W., Bond, S., Smith, T.D., and Foster, J., 2010, Post-construction monitoring of a Core-Loc™ breakwater using tripod-based LiDAR, chap. <i>of</i> Coasts, marine structures and breakwaters: Adapting to change, https://doi.org/10.1680/cmsb.41301.0039.","ipdsId":"IP-012418","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":333550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2010-07-02","publicationStatus":"PW","scienceBaseUri":"58833023e4b0d002316377a2","contributors":{"authors":[{"text":"Podoski, Jessica H.","contributorId":178488,"corporation":false,"usgs":false,"family":"Podoski","given":"Jessica","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":659195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bawden, Gerald W. gbawden@usgs.gov","contributorId":1071,"corporation":false,"usgs":true,"family":"Bawden","given":"Gerald","email":"gbawden@usgs.gov","middleInitial":"W.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":659196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bond, Sandra 0000-0003-0522-5287 sbond@usgs.gov","orcid":"https://orcid.org/0000-0003-0522-5287","contributorId":3328,"corporation":false,"usgs":true,"family":"Bond","given":"Sandra","email":"sbond@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":659197,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Thomas D.","contributorId":178489,"corporation":false,"usgs":false,"family":"Smith","given":"Thomas","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":659198,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foster, James","contributorId":38598,"corporation":false,"usgs":true,"family":"Foster","given":"James","affiliations":[],"preferred":false,"id":659199,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70036369,"text":"70036369 - 2010 - Effects of nourishment on the form and function of an estuarine beach","interactions":[],"lastModifiedDate":"2012-03-12T17:22:02","indexId":"70036369","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Effects of nourishment on the form and function of an estuarine beach","docAbstract":"Beach nourishment programs in estuaries can enhance shore protection, but they decrease habitat suitability by creating higher berms and wider backshores than would occur under natural conditions. Use of sediment sources from outside the area can result in sedimentary characteristics that differ from native sediments on the surface and at depth, altering conditions for both aeolian transport to dunes and interstitial fauna. Field data were gathered on an estuarine beach to determine differences in beach profile change, depth of sediment reworking, and potential for aeolian transport due to nourishment. Data were gathered over a 20-month period 6 months prior to nourishment, 3 days after nourishment, 6 months after nourishment, and 14 months after nourishment when the beach was mechanically graded to eliminate a vertical scarp in the foreshore. The nourishment consisted of 87,900m3 of sediment emplaced to create a 1.34-km-long, 30-m-wide berm 2.3m above mean tide level. Seven percent of the fill was removed from the profile within 6 months after nourishment, accompanied by 7m in horizontal retreat of the artificial berm. The fill on the backshore remained above the zone of wave influence over a winter storm season and was separated from the active foreshore by the scarp. Nourished sediments on the intertidal foreshore were significantly different from native sediments to a depth of 0.20m below the surface. A lag surface of coarse sediment formed by deflation on the backshore, resulting in a rate of aeolian transport &lt;2% of the rate on the wave-reworked foreshore.Nourishing a beach to a level higher than would be created by natural processes can create a profile that compartmentalizes and restricts transport of sediment and movement of fauna between the foreshore and backshore. Mechanical grading can eliminate the scarp, allow for faunal interaction, and reestablish wave reworking of the backshore that will facilitate aeolian transport. Using an initial design to nourish the backshore at a lower elevation and allowing a dune to provide protection against flooding during major storms could prevent a scarp from forming and eliminate the need for follow-up grading. ?? 2010 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.ecoleng.2010.07.016","issn":"09258574","usgsCitation":"Jackson, N., Nordstrom, K., Saini, S., and Smith, D., 2010, Effects of nourishment on the form and function of an estuarine beach: Ecological Engineering, v. 36, no. 12, p. 1709-1718, https://doi.org/10.1016/j.ecoleng.2010.07.016.","startPage":"1709","endPage":"1718","numberOfPages":"10","costCenters":[],"links":[{"id":218555,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecoleng.2010.07.016"},{"id":246577,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a076ce4b0c8380cd516be","contributors":{"authors":[{"text":"Jackson, N.L.","contributorId":104189,"corporation":false,"usgs":true,"family":"Jackson","given":"N.L.","email":"","affiliations":[],"preferred":false,"id":455762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nordstrom, K.F.","contributorId":17733,"corporation":false,"usgs":true,"family":"Nordstrom","given":"K.F.","email":"","affiliations":[],"preferred":false,"id":455760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saini, S.","contributorId":7953,"corporation":false,"usgs":true,"family":"Saini","given":"S.","email":"","affiliations":[],"preferred":false,"id":455759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, D. R. 0000-0001-6074-9257","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":44108,"corporation":false,"usgs":true,"family":"Smith","given":"D. R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":455761,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037703,"text":"70037703 - 2010 - Effect of imperfect detectability on adaptive and conventional sampling: Simulated sampling of freshwater mussels in the upper Mississippi River","interactions":[],"lastModifiedDate":"2013-05-09T10:22:47","indexId":"70037703","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","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":"Effect of imperfect detectability on adaptive and conventional sampling: Simulated sampling of freshwater mussels in the upper Mississippi River","docAbstract":"Adaptive sampling designs are recommended where, as is typical with freshwater mussels, the outcome of interest is rare and clustered. However, the performance of adaptive designs has not been investigated when outcomes are not only rare and clustered but also imperfectly detected. We address this combination of challenges using data simulated to mimic properties of freshwater mussels from a reach of the upper Mississippi River. Simulations were conducted under a range of sample sizes and detection probabilities. Under perfect detection, efficiency of the adaptive sampling design increased relative to the conventional design as sample size increased and as density decreased. Also, the probability of sampling occupied habitat was four times higher for adaptive than conventional sampling of the lowest density population examined. However, imperfect detection resulted in substantial biases in sample means and variances under both adaptive sampling and conventional designs. The efficiency of adaptive sampling declined with decreasing detectability. Also, the probability of encountering an occupied unit during adaptive sampling, relative to conventional sampling declined with decreasing detectability. Thus, the potential gains in the application of adaptive sampling to rare and clustered populations relative to conventional sampling are reduced when detection is imperfect. The results highlight the need to increase or estimate detection to improve performance of conventional and adaptive sampling designs.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Monitoring and Assessment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10661-009-1251-8","issn":"01676369","usgsCitation":"Smith, D., Gray, B., Newton, T., and Nichols, D., 2010, Effect of imperfect detectability on adaptive and conventional sampling: Simulated sampling of freshwater mussels in the upper Mississippi River: Environmental Monitoring and Assessment, v. 170, no. 1-4, p. 499-507, https://doi.org/10.1007/s10661-009-1251-8.","productDescription":"9 p.","startPage":"499","endPage":"507","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":218082,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10661-009-1251-8"},{"id":246063,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mississippi River","volume":"170","issue":"1-4","noUsgsAuthors":false,"publicationDate":"2009-11-28","publicationStatus":"PW","scienceBaseUri":"505a05ece4b0c8380cd5101a","contributors":{"authors":[{"text":"Smith, D. R. 0000-0001-6074-9257","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":44108,"corporation":false,"usgs":true,"family":"Smith","given":"D. R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":462392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, B. R. 0000-0001-7682-9550","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":14785,"corporation":false,"usgs":true,"family":"Gray","given":"B. R.","affiliations":[],"preferred":false,"id":462390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Newton, T.J.","contributorId":104428,"corporation":false,"usgs":true,"family":"Newton","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":462393,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nichols, D.","contributorId":22718,"corporation":false,"usgs":true,"family":"Nichols","given":"D.","affiliations":[],"preferred":false,"id":462391,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70035393,"text":"70035393 - 2010 - Population dynamics of the sand shiner (notropis stramineus) in non-wadeable rivers of Iowa","interactions":[],"lastModifiedDate":"2021-02-16T16:31:55.328668","indexId":"70035393","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Population dynamics of the sand shiner (notropis stramineus) in non-wadeable rivers of Iowa","docAbstract":"<p><span>The sand shiner (</span><i>Notropis stramineus</i><span>) is a common cyprinid found throughout the Great Plains region of North America that plays an important ecological role in aquatic systems. This study was conducted to describe population dynamics of sand shiners including age structure, growth, mortality, and recruitment variability in 15 non-wadeable rivers in Iowa. Fish were collected during June-August (2007–2008) using a modified Missouri trawl, a seine, and boat-mounted electrofishing. Scales were removed for age and growth analysis. A total of 3,443 fish was sampled from 15 populations across Iowa, of which 676 were aged. Iowa's sand shiner populations consisted primarily of age-1 fish (53% of all fish sampled), followed by age-2 fish (30%), age-0 fish (15%), and age-3 fish (2%). Sand shiners grew an average of 38.5 mm (SE = 5.7) during their first year, 13.8 mm (4.5) during their second year, and 9.0 mm (6.9) during their third year. Total annual mortality varied from 35.0% to 92.3% among populations with a mean of 77.9% (0.2). Incremental mortality rates were 84.5% (0.2) between age 1 and age 2, and 92.0% (0.1) between age 2 and age 3. Recruitment was highly variable, as indicated by a mean recruitment variation index of-0.12 (0.54). Overall, the sand shiner was characterized by relatively low mean age, fast growth, high mortality, and high recruitment variability. Indices of sand shiner population dynamics were poorly correlated with habitat characteristics.</span></p>","language":"English","publisher":"Taylor Francis","doi":"10.1080/02705060.2010.9664411","issn":"02705060","usgsCitation":"Smith, C.D., Neebling, T., and Quist, M., 2010, Population dynamics of the sand shiner (notropis stramineus) in non-wadeable rivers of Iowa: Journal of Freshwater Ecology, v. 25, no. 4, p. 617-626, https://doi.org/10.1080/02705060.2010.9664411.","productDescription":"10 p.","startPage":"617","endPage":"626","numberOfPages":"10","costCenters":[],"links":[{"id":383285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Iowa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.23046875,\n              43.48481212891603\n            ],\n            [\n              -96.83349609375,\n              43.61221676817573\n            ],\n            [\n              -96.767578125,\n              42.65012181368022\n            ],\n            [\n              -96.1962890625,\n              41.934976500546604\n            ],\n            [\n              -95.8447265625,\n              41.343824581185686\n            ],\n            [\n              -95.77880859375,\n              40.863679665481676\n            ],\n            [\n              -95.44921875,\n              40.1452892956766\n            ],\n            [\n              -95.11962890625,\n              39.80853604144591\n            ],\n            [\n              -91.38427734374999,\n              39.85915479295669\n            ],\n            [\n              -91.20849609375,\n              40.697299008636755\n            ],\n            [\n              -90.966796875,\n              41.409775832009565\n            ],\n            [\n              -90.37353515625,\n              41.590796851056005\n            ],\n            [\n              -90.04394531249999,\n              42.01665183556825\n            ],\n            [\n              -90.7470703125,\n              42.56926437219384\n            ],\n            [\n              -91.1865234375,\n              42.97250158602597\n            ],\n            [\n              -91.23046875,\n              43.48481212891603\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7d59e4b0c8380cd79ebe","contributors":{"authors":[{"text":"Smith, C. D.","contributorId":29785,"corporation":false,"usgs":true,"family":"Smith","given":"C.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":450445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neebling, T.E.","contributorId":101904,"corporation":false,"usgs":true,"family":"Neebling","given":"T.E.","affiliations":[],"preferred":false,"id":450447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quist, M.C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":62805,"corporation":false,"usgs":true,"family":"Quist","given":"M.C.","affiliations":[],"preferred":false,"id":450446,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037376,"text":"70037376 - 2010 - Feather lead concentrations and 207Pb/206Pb ratios reveal lead exposure history of California Condors (Gymnogyps californianus)","interactions":[],"lastModifiedDate":"2018-10-20T09:40:35","indexId":"70037376","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Feather lead concentrations and<sup>207</sup>Pb/<sup>206</sup>Pb ratios reveal lead exposure history of California condors (<i>Gymnogyps californianus</i>)","title":"Feather lead concentrations and 207Pb/206Pb ratios reveal lead exposure history of California Condors (Gymnogyps californianus)","docAbstract":"<p><span>Lead poisoning is a primary factor impeding the survival and recovery of the critically endangered California Condor (</span><i>Gymnogyps californianus</i><span>). However, the frequency and magnitude of lead exposure in condors is not well-known in part because most blood lead monitoring occurs biannually, and biannual blood samples capture only ∼10% of a bird’s annual exposure history. We investigated the use of growing feathers from free-flying condors in California to establish a bird’s lead exposure history. We show that lead concentration and stable lead isotopic composition analyses of sequential feather sections and concurrently collected blood samples provided a comprehensive history of lead exposure over the 2−4 month period of feather growth. Feather analyses identified exposure events not evident from blood monitoring efforts, and by fitting an empirically derived timeline to actively growing feathers, we were able to estimate the time frame for specific lead exposure events. Our results demonstrate the utility of using sequentially sampled feathers to reconstruct lead exposure history. Since exposure risk in individuals is one determinant of population health, our findings should increase the understanding of population-level effects from lead poisoning in condors; this information may also be helpful for other avian species potentially impacted by lead poisoning.</span></p>","language":"English","publisher":"ACS","doi":"10.1021/es903176w","issn":"0013936X","usgsCitation":"Finkelstein, M., George, D., Scherbinski, S., Gwiazda, R., Johnson, M., Burnett, J., Brandt, J., Lawrey, S., Pessier, A.P., Clark, M., Wynne, J., Grantham, J., and Smith, D., 2010, Feather lead concentrations and 207Pb/206Pb ratios reveal lead exposure history of California Condors (Gymnogyps californianus): Environmental Science & Technology, v. 44, no. 7, p. 2639-2647, https://doi.org/10.1021/es903176w.","productDescription":"9 p.","startPage":"2639","endPage":"2647","numberOfPages":"9","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":245194,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217262,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es903176w"}],"country":"United States","state":"California","volume":"44","issue":"7","noUsgsAuthors":false,"publicationDate":"2010-03-03","publicationStatus":"PW","scienceBaseUri":"505a0f43e4b0c8380cd53839","contributors":{"authors":[{"text":"Finkelstein, M.E.","contributorId":94885,"corporation":false,"usgs":true,"family":"Finkelstein","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":460758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, D.","contributorId":67338,"corporation":false,"usgs":true,"family":"George","given":"D.","email":"","affiliations":[],"preferred":false,"id":460755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scherbinski, S.","contributorId":37993,"corporation":false,"usgs":true,"family":"Scherbinski","given":"S.","email":"","affiliations":[],"preferred":false,"id":460750,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gwiazda, R.","contributorId":64920,"corporation":false,"usgs":true,"family":"Gwiazda","given":"R.","affiliations":[],"preferred":false,"id":460754,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, M.","contributorId":85531,"corporation":false,"usgs":true,"family":"Johnson","given":"M.","email":"","affiliations":[],"preferred":false,"id":460756,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burnett, J.","contributorId":31602,"corporation":false,"usgs":true,"family":"Burnett","given":"J.","email":"","affiliations":[],"preferred":false,"id":460749,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brandt, J.","contributorId":41674,"corporation":false,"usgs":true,"family":"Brandt","given":"J.","email":"","affiliations":[],"preferred":false,"id":460751,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lawrey, S.","contributorId":10646,"corporation":false,"usgs":true,"family":"Lawrey","given":"S.","email":"","affiliations":[],"preferred":false,"id":460747,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pessier, Allan P.","contributorId":19130,"corporation":false,"usgs":false,"family":"Pessier","given":"Allan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":460748,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Clark, M.R.","contributorId":88135,"corporation":false,"usgs":true,"family":"Clark","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":460757,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wynne, Janna","contributorId":139295,"corporation":false,"usgs":false,"family":"Wynne","given":"Janna","email":"","affiliations":[{"id":12724,"text":"California Science Center, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":460753,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Grantham, J.","contributorId":24885,"corporation":false,"usgs":true,"family":"Grantham","given":"J.","email":"","affiliations":[],"preferred":false,"id":460759,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Smith, D. R. 0000-0001-6074-9257","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":44108,"corporation":false,"usgs":true,"family":"Smith","given":"D. R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":460752,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70037513,"text":"70037513 - 2010 - Reference condition approach to restoration planning","interactions":[],"lastModifiedDate":"2012-03-12T17:22:06","indexId":"70037513","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Reference condition approach to restoration planning","docAbstract":"Ecosystem restoration planning requires quantitative rigor to evaluate alternatives, define end states, report progress and perform environmental benefits analysis (EBA). Unfortunately, existing planning frameworks are, at best, semi-quantitative. In this paper, we: (1) describe a quantitative restoration planning approach based on a comprehensive, but simple mathematical framework that can be used to effectively apply knowledge and evaluate alternatives, (2) use the approach to derive a simple but precisely defined lexicon based on the reference condition concept and allied terms and (3) illustrate the approach with an example from the Upper Mississippi River System (UMRS) using hydrologic indicators. The approach supports the development of a scaleable restoration strategy that, in theory, can be expanded to ecosystem characteristics such as hydraulics, geomorphology, habitat and biodiversity. We identify three reference condition types, best achievable condition (A BAC), measured magnitude (MMi which can be determined at one or many times and places) and desired future condition (ADFC) that, when used with the mathematical framework, provide a complete system of accounts useful for goal-oriented system-level management and restoration. Published in 2010 by John Wiley &amp; Sons, Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/rra.1330","issn":"15351459","usgsCitation":"Nestler, J., Theiling, C., Lubinski, S., and Smith, D., 2010, Reference condition approach to restoration planning: River Research and Applications, v. 26, no. 10, p. 1199-1219, https://doi.org/10.1002/rra.1330.","startPage":"1199","endPage":"1219","numberOfPages":"21","costCenters":[],"links":[{"id":246079,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218097,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.1330"}],"volume":"26","issue":"10","noUsgsAuthors":false,"publicationDate":"2010-11-24","publicationStatus":"PW","scienceBaseUri":"50e4a426e4b0e8fec6cdba6f","contributors":{"authors":[{"text":"Nestler, J.M.","contributorId":85685,"corporation":false,"usgs":true,"family":"Nestler","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":461400,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Theiling, C.H.","contributorId":36262,"corporation":false,"usgs":true,"family":"Theiling","given":"C.H.","email":"","affiliations":[],"preferred":false,"id":461397,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lubinski, S.J.","contributorId":83063,"corporation":false,"usgs":true,"family":"Lubinski","given":"S.J.","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":461399,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, D.L.","contributorId":41833,"corporation":false,"usgs":true,"family":"Smith","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":461398,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70036184,"text":"70036184 - 2010 - Establishing the Antarctic Dome C community reference standard site towards consistent measurements from Earth observation satellites","interactions":[],"lastModifiedDate":"2013-05-12T21:39:11","indexId":"70036184","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1175,"text":"Canadian Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Establishing the Antarctic Dome C community reference standard site towards consistent measurements from Earth observation satellites","docAbstract":"Establishing satellite measurement consistency by using common desert sites has become increasingly more important not only for climate change detection but also for quantitative retrievals of geophysical variables in satellite applications. Using the Antarctic Dome C site (75°06′S, 123°21′E, elevation 3.2 km) for satellite radiometric calibration and validation (Cal/Val) is of great interest owing to its unique location and characteristics. The site surface is covered with uniformly distributed permanent snow, and the atmospheric effect is small and relatively constant. In this study, the long-term stability and spectral characteristics of this site are evaluated using well-calibrated satellite instruments such as the Moderate Resolution Imaging Spectroradiometer (MODIS) and Sea-viewing Wide Field-of-view Sensor (SeaWiFS). Preliminary results show that despite a few limitations, the site in general is stable in the long term, the bidirectional reflectance distribution function (BRDF) model works well, and the site is most suitable for the Cal/Val of reflective solar bands in the 0.4–1.0 µm range. It was found that for the past decade, the reflectivity change of the site is within 1.35% at 0.64 µm, and interannual variability is within 2%. The site is able to resolve calibration biases between instruments at a level of ~1%. The usefulness of the site is demonstrated by comparing observations from seven satellite instruments involving four space agencies, including OrbView-2–SeaWiFS, Terra–Aqua MODIS, Earth Observing 1 (EO-1) – Hyperion, Meteorological Operational satellite programme (MetOp) – Advanced Very High Resolution Radiometer (AVHRR), Envisat Medium Resolution Imaging Spectrometer (MERIS) – dvanced Along-Track Scanning Radiometer (AATSR), and Landsat 7 Enhanced Thematic Mapper Plus (ETM+). Dome C is a promising candidate site for climate quality calibration of satellite radiometers towards more consistent satellite measurements, as part of the framework for climate change detection and data quality assurance for the Global Earth Observation System of Systems (GEOSS).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Canadian Remote Sensing Society","doi":"10.5589/m10-075","issn":"07038992","usgsCitation":"Cao, C., Uprety, S., Xiong, J., Wu, A., Jing, P., Smith, D., Chander, G., Fox, N., and Ungar, S., 2010, Establishing the Antarctic Dome C community reference standard site towards consistent measurements from Earth observation satellites: Canadian Journal of Remote Sensing, v. 36, no. 5, p. 498-513, https://doi.org/10.5589/m10-075.","productDescription":"16 p.","startPage":"498","endPage":"513","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":218572,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5589/m10-075"},{"id":246595,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-06-02","publicationStatus":"PW","scienceBaseUri":"505a0a64e4b0c8380cd52338","contributors":{"authors":[{"text":"Cao, C.","contributorId":37944,"corporation":false,"usgs":true,"family":"Cao","given":"C.","email":"","affiliations":[],"preferred":false,"id":454680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Uprety, S.","contributorId":65345,"corporation":false,"usgs":true,"family":"Uprety","given":"S.","affiliations":[],"preferred":false,"id":454686,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xiong, J.","contributorId":58472,"corporation":false,"usgs":true,"family":"Xiong","given":"J.","email":"","affiliations":[],"preferred":false,"id":454684,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wu, A.","contributorId":44019,"corporation":false,"usgs":true,"family":"Wu","given":"A.","email":"","affiliations":[],"preferred":false,"id":454682,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jing, P.","contributorId":38859,"corporation":false,"usgs":true,"family":"Jing","given":"P.","email":"","affiliations":[],"preferred":false,"id":454681,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, D.","contributorId":60978,"corporation":false,"usgs":true,"family":"Smith","given":"D.","affiliations":[],"preferred":false,"id":454685,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chander, G.","contributorId":51449,"corporation":false,"usgs":true,"family":"Chander","given":"G.","affiliations":[],"preferred":false,"id":454683,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fox, N.","contributorId":90905,"corporation":false,"usgs":true,"family":"Fox","given":"N.","email":"","affiliations":[],"preferred":false,"id":454687,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ungar, S.","contributorId":15413,"corporation":false,"usgs":true,"family":"Ungar","given":"S.","affiliations":[],"preferred":false,"id":454679,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70037623,"text":"70037623 - 2010 - Persistence of canine distemper virus in the Greater Yellowstone Ecosystem's carnivore community","interactions":[],"lastModifiedDate":"2018-10-17T16:40:58","indexId":"70037623","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Persistence of canine distemper virus in the Greater Yellowstone Ecosystem's carnivore community","docAbstract":"<p>Canine distemper virus (CDV) is an acute, highly immunizing pathogen that should require high densities and large populations of hosts for long-term persistence, yet CDV persists among terrestrial carnivores with small, patchily distributed groups. We used CDV in the Greater Yellowstone ecosystem's (GYE) wolves (Canis lupus) and coyotes (Canis latrans) as a case study for exploring how metapopulation structure, host demographics, and multi-host transmission affect the critical community size and spatial scale required for CDV persistence. We illustrate how host spatial connectivity and demographic turnover interact to affect both local epidemic dynamics, such as the length and variation in inter-epidemic periods, and pathogen persistence using stochastic, spatially explicit susceptible-exposed-infectious-recovered simulation models. Given the apparent absence of other known persistence mechanisms (e.g., a carrier or environmental state, densely populated host, chronic infection, or a vector), we suggest that CDV requires either large spatial scales or multi-host transmission for persistence. Current GYE wolf populations are probably too small to support endemic CDV. Coyotes are a plausible reservoir host, but CDV would still require 50 000-100 000 individuals for moderate persistence (&gt;50% over 10 years), which would equate to an area of 1-3 times the size of the GYE (60000-200000 km2). Coyotes, and carnivores in general, are not uniformly distributed; therefore, this is probably a gross underestimate of the spatial scale of CDV persistence. However, the presence of a second competent host species can greatly increase the probability of long-term CDV persistence at much smaller spatial scales. Although no management of CDV is currently recommended for the GYE, wolf managers in the region should expect periodic but unpredictable CDV-related population declines as often as every 2-5 years. Awareness and monitoring of such outbreaks will allow corresponding adjustments in management activities such as regulated public harvest, creating a smooth transition to state wolf management and conservation after &gt;30 years of being protected by the Endangered Species Act.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/09-1225.1","issn":"10510761","usgsCitation":"Almberg, E.S., Cross, P.C., and Smith, D., 2010, Persistence of canine distemper virus in the Greater Yellowstone Ecosystem's carnivore community: Ecological Applications, v. 20, no. 7, p. 2058-2074, https://doi.org/10.1890/09-1225.1.","productDescription":"17 p.","startPage":"2058","endPage":"2074","numberOfPages":"17","costCenters":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":245923,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217950,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/09-1225.1"}],"country":"United States","volume":"20","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a76e5e4b0c8380cd78383","contributors":{"authors":[{"text":"Almberg, Emily S.","contributorId":207014,"corporation":false,"usgs":false,"family":"Almberg","given":"Emily","email":"","middleInitial":"S.","affiliations":[{"id":37431,"text":"Montana Fish, Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":461970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":461971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, D.W.","contributorId":24726,"corporation":false,"usgs":true,"family":"Smith","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":461969,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189062,"text":"70189062 - 2010 - Calibration and filtering strategies for frequency domain electromagnetic data","interactions":[],"lastModifiedDate":"2017-06-30T09:44:04","indexId":"70189062","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Calibration and filtering strategies for frequency domain electromagnetic data","docAbstract":"<p><span>echniques for processing frequency-domain electromagnetic (FDEM) data that address systematic instrument errors and random noise are presented, improving the ability to invert these data for meaningful earth models that can be quantitatively interpreted. A least-squares calibration method, originally developed for airborne electromagnetic datasets, is implemented for a ground-based survey in order to address systematic instrument errors, and new insights are provided into the importance of calibration for preserving spectral relationships within the data that lead to more reliable inversions. An alternative filtering strategy based on principal component analysis, which takes advantage of the strong correlation observed in FDEM data, is introduced to help address random noise in the data without imposing somewhat arbitrary spatial smoothing.</span><br><span><br><br>Read More:<span>&nbsp;</span><a href=\"http://library.seg.org/doi/abs/10.4133/1.3445431\" data-mce-href=\"http://library.seg.org/doi/abs/10.4133/1.3445431\">http://library.seg.org/doi/abs/10.4133/1.3445431</a></span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2010","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2010","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.4133/1.3445431","usgsCitation":"Minsley, B.J., Smith, B.D., Hammack, R., Sams, J.I., and Veloski, G., 2010, Calibration and filtering strategies for frequency domain electromagnetic data, <i>in</i> Symposium on the Application of Geophysics to Engineering and Environmental Problems 2010, p. 183-189, https://doi.org/10.4133/1.3445431.","productDescription":"7 p.","startPage":"183","endPage":"189","ipdsId":"IP-029483","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2010-05-17","publicationStatus":"PW","scienceBaseUri":"5957635be4b0d1f9f051b6c8","contributors":{"authors":[{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Bruce D. 0000-0002-1643-2997 bsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-1643-2997","contributorId":845,"corporation":false,"usgs":true,"family":"Smith","given":"Bruce","email":"bsmith@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702700,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hammack, Richard","contributorId":44449,"corporation":false,"usgs":true,"family":"Hammack","given":"Richard","affiliations":[],"preferred":false,"id":702703,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sams, James I.","contributorId":193952,"corporation":false,"usgs":false,"family":"Sams","given":"James","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":702702,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Veloski, Garret","contributorId":193984,"corporation":false,"usgs":false,"family":"Veloski","given":"Garret","email":"","affiliations":[],"preferred":false,"id":702701,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70217568,"text":"70217568 - 2010 - Efficient estimators for adaptive stratified sequential sampling","interactions":[],"lastModifiedDate":"2021-01-21T23:55:14.353079","indexId":"70217568","displayToPublicDate":"2009-12-08T17:52:06","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2463,"text":"Journal of Statistical Computation and Simulation","active":true,"publicationSubtype":{"id":10}},"title":"Efficient estimators for adaptive stratified sequential sampling","docAbstract":"<p><span>In stratified sampling, methods for the allocation of effort among strata usually rely on some measure of within-stratum variance. If we do not have enough information about these variances, adaptive allocation can be used. In adaptive allocation designs, surveys are conducted in two phases. Information from the first phase is used to allocate the remaining units among the strata in the second phase. Brown&nbsp;</span><i>et al</i><span>. [</span><i>Adaptive two-stage sequential sampling</i><span>, Popul. Ecol. 50 (2008), pp. 239–245] introduced an adaptive allocation sampling design – where the final sample size was random – and an unbiased estimator. Here, we derive an unbiased variance estimator for the design, and consider a related design where the final sample size is fixed. Having a fixed final sample size can make survey-planning easier. We introduce a biased Horvitz–Thompson type estimator and a biased sample mean type estimator for the sampling designs. We conduct two simulation studies on honey producers in Kurdistan and synthetic zirconium distribution in a region on the moon. Results show that the introduced estimators are more efficient than the available estimators for both variable and fixed sample size designs, and the conventional unbiased estimator of stratified simple random sampling design. In order to evaluate efficiencies of the introduced designs and their estimator furthermore, we first review some well-known adaptive allocation designs and compare their estimator with the introduced estimators. Simulation results show that the introduced estimators are more efficient than available estimators of these well-known adaptive allocation designs.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00949650903005664","usgsCitation":"Salehi, M., Moradi, M., Brown, J., and Smith, D.R., 2010, Efficient estimators for adaptive stratified sequential sampling: Journal of Statistical Computation and Simulation, v. 80, no. 10, p. 1163-1179, https://doi.org/10.1080/00949650903005664.","productDescription":"17 p.","startPage":"1163","endPage":"1179","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":382471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Salehi, M.","contributorId":94483,"corporation":false,"usgs":true,"family":"Salehi","given":"M.","email":"","affiliations":[],"preferred":false,"id":808703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moradi, M.","contributorId":69376,"corporation":false,"usgs":true,"family":"Moradi","given":"M.","email":"","affiliations":[],"preferred":false,"id":808704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Jennifer 0000-0003-3137-7073 jenniferbrown@usgs.gov","orcid":"https://orcid.org/0000-0003-3137-7073","contributorId":181793,"corporation":false,"usgs":true,"family":"Brown","given":"Jennifer","email":"jenniferbrown@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":808705,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":808706,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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