{"pageNumber":"756","pageRowStart":"18875","pageSize":"25","recordCount":46882,"records":[{"id":70003425,"text":"70003425 - 2009 - Trends in anuran occupancy from northeastern states of the North American Monitoring Program","interactions":[],"lastModifiedDate":"2012-02-02T00:16:02","indexId":"70003425","displayToPublicDate":"2012-01-15T15:50:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"title":"Trends in anuran occupancy from northeastern states of the North American Monitoring Program","docAbstract":"We present the first multi-year occupancy trends from North American Amphibian Monitoring Program (NAAMP) data in 10 northeastern states using seven years of data (2001-2007). NAAMP uses a calling survey technique where observers listen for anuran vocalizations along assigned random roadside routes. We were able to assess occupancy trends in 10 northeastern states for 16 species and one species complex, for 94 species/state combinations. We found no significant trends for 64 species/state combinations. For the remaining 30 species/state combinations with significant trends, these split between declining and increasing trends. On a species-by-species basis, two species had declining trends, with significant trends in six states for <i>Pseudacris crucifer</i> and four states for <i>Bufo americanus</i>. The trends of <i>Rana catesbeiana</i> significantly increased in four states, but had no trend in the remaining states.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Herpetological Conservation and Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Herpetological Conservation and Biology","publisherLocation":"http://www.herpconbio.org","usgsCitation":"Weir, L., Fiske, I.J., and Royle, J., 2009, Trends in anuran occupancy from northeastern states of the North American Monitoring Program: Herpetological Conservation and Biology, v. 4, no. 3, p. 389-402.","productDescription":"14 p.","startPage":"389","endPage":"402","numberOfPages":"14","temporalStart":"2001-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":204698,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":21690,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://www.herpconbio.org/Volume_4/Issue_3/Weir_etal_2009.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","volume":"4","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb7e1e4b08c986b32753d","contributors":{"authors":[{"text":"Weir, Linda","contributorId":16163,"corporation":false,"usgs":true,"family":"Weir","given":"Linda","affiliations":[],"preferred":false,"id":347249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fiske, Ian J.","contributorId":96411,"corporation":false,"usgs":true,"family":"Fiske","given":"Ian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":347251,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":347250,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70004689,"text":"70004689 - 2009 - A 125 year history of topographic mapping and GIS in the U.S. Geological Survey 1884-2009, part 2: 1980-2009","interactions":[],"lastModifiedDate":"2012-07-06T01:01:41","indexId":"70004689","displayToPublicDate":"2012-01-01T09:18:51","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":878,"text":"ArcNews","active":true,"publicationSubtype":{"id":10}},"title":"A 125 year history of topographic mapping and GIS in the U.S. Geological Survey 1884-2009, part 2: 1980-2009","docAbstract":"The United States Geological Survey (USGS) entered the mainstream of developments in computer-assisted technology for mapping during the 1970s. The introduction by USGS of digital line graphs (DLGs), digital elevation models (DEMs), and land use data analysis (LUDA) nationwide land-cover data provided a base for the rapid expansion of the use of GIS in the 1980s. Whereas USGS had developed the topologically structured DLG data and the Geographic Information Retrieval and Analysis System (GIRAS) for land-cover data, the Map Overlay Statistical System (MOSS), a nontopologically structured GIS software package developed by Autometric, Inc., under contract to the U.S. Fish and Wildlife Service, dominated the use of GIS by federal agencies in the 1970s. Thus, USGS data was used in MOSS, but the topological structure, which later became a requirement for GIS vector datasets, was not used in early GIS applications. The introduction of Esri's ARC/INFO in 1982 changed that, and by the end of the 1980s, topological structure for vector data was essential, and ARC/INFO was the dominant GIS software package used by federal agencies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"ArcNews","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Esri","publisherLocation":"Redlands, CA","usgsCitation":"Usery, E.L., Varanka, D., and Finn, M.P., 2009, A 125 year history of topographic mapping and GIS in the U.S. Geological Survey 1884-2009, part 2: 1980-2009: ArcNews, v. 31, no. 4, p. 39-39.","productDescription":"1 p.","startPage":"39","endPage":"39","costCenters":[{"id":161,"text":"Center of Excellence for Geospatial Information Science (CEGIS)","active":false,"usgs":true}],"links":[{"id":258192,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":258189,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://www.esri.com/news/arcnews/winter0910articles/125-years.html","linkFileType":{"id":5,"text":"html"}}],"volume":"31","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e2bfe4b0c8380cd45bf8","contributors":{"authors":[{"text":"Usery, E. Lynn 0000-0002-2766-2173 usery@usgs.gov","orcid":"https://orcid.org/0000-0002-2766-2173","contributorId":231,"corporation":false,"usgs":true,"family":"Usery","given":"E.","email":"usery@usgs.gov","middleInitial":"Lynn","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":351147,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Varanka, Dalia","contributorId":99654,"corporation":false,"usgs":true,"family":"Varanka","given":"Dalia","affiliations":[],"preferred":false,"id":351149,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finn, Michael P. 0000-0003-0415-2194 mfinn@usgs.gov","orcid":"https://orcid.org/0000-0003-0415-2194","contributorId":2657,"corporation":false,"usgs":true,"family":"Finn","given":"Michael","email":"mfinn@usgs.gov","middleInitial":"P.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":351148,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70041337,"text":"70041337 - 2009 - Simulations of cataclysmic outburst floods from Pleistocene Glacial Lake Missoula","interactions":[],"lastModifiedDate":"2013-03-30T07:51:52","indexId":"70041337","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Simulations of cataclysmic outburst floods from Pleistocene Glacial Lake Missoula","docAbstract":"Using a flow domain that we constructed from 30 m digital-elevation model data of western United States and Canada and a two-dimensional numerical model for shallow-water flow over rugged terrain, we simulated outburst floods from Pleistocene Glacial Lake Missoula. We modeled a large, but not the largest, flood, using initial lake elevation at 1250 m instead of 1285 m. Rupture of the ice dam, centered on modern Lake Pend Oreille, catastrophically floods eastern Washington and rapidly fills the broad Pasco, Yakima, and Umatilla Basins. Maximum flood stage is reached in Pasco and Yakima Basins 38 h after the dam break, whereas maximum flood stage in Umatilla Basin occurs 17 h later. Drainage of these basins through narrow Columbia gorge takes an additional 445 h. For this modeled flood, peak discharges in eastern Washington range from 10 to 20 × 10<sup>6</sup> m<sup>3</sup>/s. However, constrictions in Columbia gorge limit peak discharges to <6 × 10<sup>6</sup> m<sup>3</sup>/s and greatly extend the duration of flooding. We compare these model results with field observations of scabland distribution and high-water indicators. Our model predictions of the locations of maximum scour (product of bed shear stress and average flow velocity) match the distribution of existing scablands. We compare model peak stages to high-water indicators from the Rathdrum-Spokane valley, Walulla Gap, and along Columbia gorge. Though peak stages from this less-than-maximal flood model attain or exceed peak-stage indicators along Rathdrum-Spokane valley and along Columbia gorge, simulated peak stages near Walulla Gap are 10–40 m below observed peak-stage indicators. Despite this discrepancy, our match to field observations in most of the region indicates that additional sources of water other than Glacial Lake Missoula are not required to explain the Missoula floods.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geological Society of America Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/B26454.1","usgsCitation":"Denlinger, R.P., and O’Connell, D.R., 2009, Simulations of cataclysmic outburst floods from Pleistocene Glacial Lake Missoula: Geological Society of America Bulletin, v. 122, no. 5-6, p. 678-689, https://doi.org/10.1130/B26454.1.","productDescription":"12 p.","startPage":"678","endPage":"689","ipdsId":"IP-007425","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":263715,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":263714,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/B26454.1"}],"country":"United States","state":"Montana","city":"Missoula","otherGeospatial":"Pasco Basin;Pleistocene Glacial Lake Missoula;Umatilla Basin;Walulla Gap;Yakima Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.0,44.1 ], [ -116.0,49.0 ], [ -108.0,49.0 ], [ -108.0,44.1 ], [ -116.0,44.1 ] ] ] } } ] }","volume":"122","issue":"5-6","noUsgsAuthors":false,"publicationDate":"2009-12-30","publicationStatus":"PW","scienceBaseUri":"50bfbdcee4b01744973f782f","contributors":{"authors":[{"text":"Denlinger, Roger P. 0000-0003-0930-0635 roger@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-0635","contributorId":2679,"corporation":false,"usgs":true,"family":"Denlinger","given":"Roger","email":"roger@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":469553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Connell, D. R. H.","contributorId":53606,"corporation":false,"usgs":true,"family":"O’Connell","given":"D.","email":"","middleInitial":"R. H.","affiliations":[],"preferred":false,"id":469554,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70041525,"text":"70041525 - 2009 - Geophysical setting of western Utah and eastern Nevada between latitudes 37°45′ and 40°N","interactions":[],"lastModifiedDate":"2012-12-14T11:20:13","indexId":"70041525","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Geophysical setting of western Utah and eastern Nevada between latitudes 37°45′ and 40°N","docAbstract":"Gravity and aeromagnetic data refine the structural setting for the region of western Utah and eastern Nevada between Snake and Hamlin Valleys on the west and Tule Valley on the east. These data are used here as part of a regional analysis. An isostatic gravity map shows large areas underlain by gravity lows, the most prominent of which is a large semi-circular low associated with the Indian Peak caldera complex in the southwestern part of the study area. Another low underlies the Thomas caldera in the northeast, and linear lows elsewhere indicate low-density basin-fill in all major north-trending graben valleys. Gravity highs reflect pre-Cenozoic rocks mostly exposed in the mountain ranges. In the Confusion Range, however, the gravity high extends about 15 km east of the range front to Coyote Knolls, indicating a broad pediment cut on upper Paleozoic rocks and covered by a thin veneer of alluvium. Aeromagnetic highs sharply delineate Oligocene and Miocene volcanic rocks and intracaldera plutons associated with the Indian Peak caldera complex and the Pioche–Marysvale igneous belt. Jurassic to Eocene plutons and volcanic rocks elsewhere in the study area, however, have much more modest magnetic signatures. Some relatively small magnetic highs in the region are associated with outcrops of volcanic rock, and the continuation of those anomalies indicates that the rocks are probably extensive in the subsurface. A gravity inversion method separating the isostatic gravity anomaly into fields representing pre-Cenozoic basement rocks and Cenozoic basin deposits was used to calculate depth to basement and estimate maximum amounts of alluvial and volcanic fill within the valleys. Maximum depths within the Indian Peak caldera complex average about 2.5 km, locally reaching 3 km. North of the caldera complex, thickness of valley fill in most graben valleys ranges from 1.5 to 3 km thick, with Hamlin and Pine Valleys averaging ~3 km. The main basin beneath Tule Valley is relatively shallow (~0.6 km), reaching a maximum depth of ~1 km over a small area northeast of Coyote Knolls. Maximum horizontal gradients were calculated for both long-wavelength gravity and magnetic-potential data, and these were used to constrain major density and magnetic lineaments. These lineaments help delineate deep-seated crustal structures that separate major tectonic domains, potentially localizing Cenozoic tectonic features that may control regional ground-water flow.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geology and Geologic Resources and Issues of Western Utah, UGA-38","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Utah Geological Association","publisherLocation":"http://www.utahgeology.org","collaboration":"This book is available in CD-ROM format at <a href=\"http://www.mapstore.utah.gov/uga38.html/\" target=\"_blank\">http://www.mapstore.utah.gov/uga38.html/</a>","usgsCitation":"Mankinen, E.A., and McKee, E.H., 2009, Geophysical setting of western Utah and eastern Nevada between latitudes 37°45′ and 40°N, chap. <i>of</i> Geology and Geologic Resources and Issues of Western Utah, UGA-38, p. 271-286.","productDescription":"16 p.; CD-ROM Chapter","startPage":"271","endPage":"286","ipdsId":"IP-012963","costCenters":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":264041,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":264040,"type":{"id":15,"text":"Index Page"},"url":"https://archives.datapages.com/data/uga/data/081/081001/271_ugs810271.htm"}],"country":"United States","state":"Nevada;Utah","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.01,40.0 ], [ -120.01,37.75 ], [ -109.04,37.75 ], [ -109.04,40.0 ], [ -120.01,40.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50cc58d2e4b00ab7c548c697","contributors":{"editors":[{"text":"Tripp, Bryce","contributorId":113835,"corporation":false,"usgs":true,"family":"Tripp","given":"Bryce","email":"","affiliations":[],"preferred":false,"id":509108,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Krahulec, Ken","contributorId":113293,"corporation":false,"usgs":true,"family":"Krahulec","given":"Ken","email":"","affiliations":[],"preferred":false,"id":509107,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Jordan, Lucy","contributorId":111392,"corporation":false,"usgs":true,"family":"Jordan","given":"Lucy","email":"","affiliations":[],"preferred":false,"id":509106,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Mankinen, Edward A. 0000-0001-7496-2681 emank@usgs.gov","orcid":"https://orcid.org/0000-0001-7496-2681","contributorId":1054,"corporation":false,"usgs":true,"family":"Mankinen","given":"Edward","email":"emank@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":469901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKee, Edwin H. mckee@usgs.gov","contributorId":3728,"corporation":false,"usgs":true,"family":"McKee","given":"Edwin","email":"mckee@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":469902,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70003838,"text":"70003838 - 2009 - Temporal and maternal effects on reproductive ecology of the giant gartersnake (<i>Thamnophis gigas</i>)","interactions":[],"lastModifiedDate":"2017-09-06T09:50:09","indexId":"70003838","displayToPublicDate":"2011-12-18T15:07:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3451,"text":"Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Temporal and maternal effects on reproductive ecology of the giant gartersnake (<i>Thamnophis gigas</i>)","docAbstract":"We used mixed-effects models to examine relationships of reproductive characteristics of the giant gartersnake (<i>Thamnophis gigas</i>) to improve population modeling and conservation planning for this species. Neonates from larger litters had lower mass, and mass of neonates also was affected by random variation among mothers. Length of mother did not affect relative mass of litters; however, our data suggest that longer mothers expended less reproductive effort per offspring than shorter mothers. We detected random variation in length of neonates among mothers, but these lengths were not related to length of mother or size of litter. Mean size of litter varied among years, but little evidence existed for a relationship between size of litter or mass of litter and length of mother. Sex ratios of neonates did not differ from 1:1.","language":"English","publisher":"Southwestern Association of Naturalists","doi":"10.1894/GC-205.1","usgsCitation":"Halstead, B., Wylie, G.D., Casazza, M.L., and Coates, P.S., 2009, Temporal and maternal effects on reproductive ecology of the giant gartersnake (<i>Thamnophis gigas</i>): Southwestern Naturalist, v. 56, no. 1, p. 29-34, https://doi.org/10.1894/GC-205.1.","productDescription":"6 p.","startPage":"29","endPage":"34","ipdsId":"IP-012262","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":204426,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba4eae4b08c986b320681","contributors":{"authors":[{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":349117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Glenn D. 0000-0002-7061-6658 glenn_wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7061-6658","contributorId":3052,"corporation":false,"usgs":true,"family":"Wylie","given":"Glenn","email":"glenn_wylie@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":349118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":349116,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":349119,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003927,"text":"70003927 - 2009 - Spring migration routes and chronology of surf scoters (Melanitta perspicillata): A synthesis of Pacific coast studies","interactions":[],"lastModifiedDate":"2018-08-21T15:41:33","indexId":"70003927","displayToPublicDate":"2011-12-06T12:29:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Spring migration routes and chronology of surf scoters (<i>Melanitta perspicillata</i>): A synthesis of Pacific coast studies","title":"Spring migration routes and chronology of surf scoters (Melanitta perspicillata): A synthesis of Pacific coast studies","docAbstract":"Understanding interconnectivity among wintering, stopover, and breeding areas of migratory birds is pivotal to discerning how events occurring in each might have a cross-seasonal effect on another. Such information can guide the location and timing of conservation efforts. Thus, we examined spring migration routes, chronology, and stopover use of 85 surf scoters (<i>Melanitta perspicillata</i> (L., 1758)) marked with satellite transmitters at four Pacific Flyway wintering sites: San Quintin Bay, Baja California; San Francisco Bay, California; Puget Sound, Washington; and Strait of Georgia, British Columbia. Eighty-three percent of marked scoters followed two main routes to the breeding area: a Southern Inland route involving staging in Puget Sound and Strait of Georgia and protracted inland migration, or a Northern Coastal route characterized by short movements along the Pacific coast of British Columbia and southeast Alaska with inland migration initiating from Lynn Canal and surrounding areas. Route choice was related to nesting site latitude in the Canadian Northern Boreal Forest. Data from birds tracked over 2 years indicated strong migration route fidelity, but altered chronology and stopover locations between years. Departure date varied by wintering site, but arrival and apparent settling dates were synchronous, suggesting individuals adjusted migration timing to meet an optimized reproductive schedule.","language":"English","publisher":"Canadian Science Publishing","publisherLocation":"Ottawa, Ontario","doi":"10.1139/Z09-099","usgsCitation":"De La Cruz, S.E., Takekawa, J.Y., Wilson, M.T., Nysewander, D., Evenson, J., Esler, D., Boyd, W.S., and Ward, D.H., 2009, Spring migration routes and chronology of surf scoters (Melanitta perspicillata): A synthesis of Pacific coast studies: Canadian Journal of Zoology, v. 87, no. 11, p. 1069-1086, https://doi.org/10.1139/Z09-099.","productDescription":"18 p.","startPage":"1069","endPage":"1086","numberOfPages":"18","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":486669,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LUFGEF","text":"USGS data release","linkHelpText":"Tracking Data for Surf Scoters (Melanitta perspicillata)"},{"id":204209,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, California, Washington","volume":"87","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9620e4b08c986b31b2ea","contributors":{"authors":[{"text":"De La Cruz, Susan E.W. 0000-0001-6315-0864 sdelacruz@usgs.gov","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":3248,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"sdelacruz@usgs.gov","middleInitial":"E.W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":349548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":349546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, M. 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,{"id":70009653,"text":"ofr20091256 - 2009 - Aeromagnetic survey of Howard Pass quadrangle and the East half of Misheguk Mountain quadrangle, Alaska&mdash;a Web site for the distribution of data","interactions":[],"lastModifiedDate":"2012-04-15T17:28:15","indexId":"ofr20091256","displayToPublicDate":"2011-12-01T12:56:39","publicationYear":"2009","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":"2009-1256","title":"Aeromagnetic survey of Howard Pass quadrangle and the East half of Misheguk Mountain quadrangle, Alaska&mdash;a Web site for the distribution of data","docAbstract":"U.S. Geological Survey Open-File-Report 2009-1256 is for the preliminary release of magnetic data (and associated contractor reports) for an airborne survey in the Brooks Range, northwest of Bettles, Alaska.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20091256","usgsCitation":"Brown, P., 2009, Aeromagnetic survey of Howard Pass quadrangle and the East half of Misheguk Mountain quadrangle, Alaska&mdash;a Web site for the distribution of data: U.S. Geological Survey Open-File Report 2009-1256, iii, 15 p.; Appendices; HTML View of Location Map; Downloads of Associated Files, https://doi.org/10.3133/ofr20091256.","productDescription":"iii, 15 p.; Appendices; HTML View of Location Map; Downloads of Associated Files","startPage":"i","endPage":"29","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":204836,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1256/","linkFileType":{"id":5,"text":"html"}},{"id":204837,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1256.gif"}],"country":"United States","state":"Alaska","otherGeospatial":"Howard Pass;Misheguk Mountain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -161,68 ], [ -161,69 ], [ -156,69 ], [ -156,68 ], [ -161,68 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e8a9e4b0c8380cd47e19","contributors":{"authors":[{"text":"Brown, Philip J.","contributorId":70483,"corporation":false,"usgs":true,"family":"Brown","given":"Philip J.","affiliations":[],"preferred":false,"id":356812,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70006104,"text":"ofr20091002 - 2009 - Digital seismic-reflection data from western Rhode Island Sound, 1980","interactions":[],"lastModifiedDate":"2012-02-10T00:12:00","indexId":"ofr20091002","displayToPublicDate":"2011-11-30T00:00:00","publicationYear":"2009","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":"2009-1002","title":"Digital seismic-reflection data from western Rhode Island Sound, 1980","docAbstract":"During 1980, the U.S. Geological Survey (USGS) conducted a seismic-reflection survey in western Rhode Island Sound aboard the Research Vessel Neecho. Data from this survey were recorded in analog form and archived at the USGS Woods Hole Science Center's Data Library. Due to recent interest in the geology of Rhode Island Sound and in an effort to make the data more readily accessible while preserving the original paper records, the seismic data from this cruise were scanned and converted to Tagged Image File Format (TIFF) images and SEG-Y data files. Navigation data were converted from U.S. Coast Guard Long Range Aids to Navigation (LORAN-C) time delays to latitudes and longitudes, which are available in Environmental Systems Research Institute, Inc. (ESRI) shapefile format and as eastings and northings in space-delimited text format.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20091002","usgsCitation":"McMullen, K., Poppe, L., and Soderberg, N., 2009, Digital seismic-reflection data from western Rhode Island Sound, 1980: U.S. Geological Survey Open-File Report 2009-1002, HTML Document, https://doi.org/10.3133/ofr20091002.","productDescription":"HTML Document","additionalOnlineFiles":"Y","temporalStart":"1980-01-01","temporalEnd":"1980-12-31","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116661,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1002.png"},{"id":110956,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1002/index.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Rhode Island","geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-71.41096878051758, 41.20311164855963], [-71.47355461120607, 41.19138145446782], [-71.53353118896484, 41.25826835632323], [-71.56668090820314, 41.314348220825316], [-71.56702232360838, 41.354669570922844], [-71.43700722642183, 41.40092751856604], [-71.45225320048858, 41.43205471561894], [-71.4178638458252, 41.45497703552252], [-71.40476962657254, 41.4462231268984], [-71.37142120309039, 41.45290428086218], [-71.3640254382043, 41.4404771516156], [-71.29193956647572, 41.458237438853125], [-71.29568381910639, 41.468077805435875], [-71.20956802368164, 41.485330581665046], [-71.14755249023438, 41.339784622192376], [-71.13011169433594, 41.260560989379975], [-71.41096878051758, 41.20311164855963]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-71.5692081451416, 41.19138145446782, -71.13011169433594, 41.485330581665046], \"type\": \"Feature\", \"id\": \"3091905\"}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0185e4b0c8380cd4fc37","contributors":{"authors":[{"text":"McMullen, K. Y.","contributorId":51857,"corporation":false,"usgs":true,"family":"McMullen","given":"K.","middleInitial":"Y.","affiliations":[],"preferred":false,"id":353843,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poppe, L. J.","contributorId":72782,"corporation":false,"usgs":true,"family":"Poppe","given":"L.","middleInitial":"J.","affiliations":[],"preferred":false,"id":353844,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soderberg, N.K.","contributorId":34138,"corporation":false,"usgs":true,"family":"Soderberg","given":"N.K.","email":"","affiliations":[],"preferred":false,"id":353842,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70006106,"text":"ofr20091171 - 2009 - Low-flow frequency and flow duration of selected South Carolina streams in the Pee Dee River basin through March 2007","interactions":[],"lastModifiedDate":"2016-12-08T12:38:47","indexId":"ofr20091171","displayToPublicDate":"2011-11-30T00:00:00","publicationYear":"2009","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":"2009-1171","title":"Low-flow frequency and flow duration of selected South Carolina streams in the Pee Dee River basin through March 2007","docAbstract":"Part of the mission of the South Carolina Department of Health and Environmental Control and the South Carolina Department of Natural Resources is to protect and preserve South Carolina's water resources. Doing so requires an ongoing understanding of streamflow characteristics of the rivers and streams in South Carolina. A particular need is information concerning the low-flow characteristics of streams; this information is especially important for effectively managing the State's water resources during critical flow periods such as the severe drought that occurred between 1998 and 2002 and the most recent drought that occurred between 2006 and 2009. In 2008, the U.S. Geological Survey, in cooperation with the South Carolina Department of Health and Environmental Control, initiated a study to update low-flow statistics at continuous-record streamgaging stations operated by the U.S. Geological Survey in South Carolina. Under this agreement, the low-flow characteristics at continuous-record streamgaging stations will be updated in a systematic manner during the monitoring and assessment of the eight major basins in South Carolina as defined and grouped according to the South Carolina Department of Health and Environmental Control's Watershed Water Quality Management Strategy. Depending on the length of record available at the continuous-record streamgaging stations, low-flow frequency characteristics are estimated for annual minimum 1-, 3-, 7-, 14-, 30-, 60-, and 90-day average flows with recurrence intervals of 2, 5, 10, 20, 30, and 50 years. Low-flow statistics are presented for 18 streamgaging stations in the Pee Dee River basin. In addition, daily flow durations for the 5-, 10-, 25-, 50-, 75-, 90-, and 95-percent probability of exceedance also are presented for the stations. The low-flow characteristics were computed from records available through March 31, 2007. The last systematic update of low-flow characteristics in South Carolina occurred more than 20 years ago and included data through March 1987. Of the 17 streamgaging stations included in this study, 15 had low-flow characteristics that were published in previous U.S. Geological Survey reports. A comparison of the low-flow characteristic for the minimum average flow for a 7-consecutive-day period with a 10-year recurrence interval from this study with the most recently published values indicated that 10 of the 15 streamgaging stations had values that were within &plusmn;25 percent of each other. Nine of the 15 streamgaging stations had negative percentage differences indicating the low-flow statistic had decreased since the previous study, 4 streamgaging stations had positive percent differences indicating that the low-flow statistic had increased since the previous study, and 2 streamgaging stations had a zero percent difference indicating no change since the previous study. The low-flow characteristics are influenced by length of record, hydrologic regime under which the record was collected, techniques used to do the analysis, and other changes that may have occurred in the watershed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20091171","collaboration":"Prepared in cooperation with the South Carolina Department of Health and Environmental Control","usgsCitation":"Feaster, T., and Guimaraes, W.B., 2009, Low-flow frequency and flow duration of selected South Carolina streams in the Pee Dee River basin through March 2007 (Version 2.0: June 22, 2010): U.S. Geological Survey Open-File Report 2009-1171, vi, 19 p.; Tables, https://doi.org/10.3133/ofr20091171.","productDescription":"vi, 19 p.; Tables","startPage":"i","endPage":"39","numberOfPages":"45","additionalOnlineFiles":"N","costCenters":[{"id":13634,"text":"South Atlantic Water Science 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,{"id":70006109,"text":"ofr20091298 - 2009 - Digital Mapping Techniques '08: Workshop Proceedings, Moscow, Idaho, May 18-21, 2008","interactions":[],"lastModifiedDate":"2019-04-01T08:40:01","indexId":"ofr20091298","displayToPublicDate":"2011-11-30T00:00:00","publicationYear":"2009","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":"2009-1298","title":"Digital Mapping Techniques '08: Workshop Proceedings, Moscow, Idaho, May 18-21, 2008","docAbstract":"The Digital Mapping Techniques '08 (DMT'08) workshop was attended by more than 100 technical experts from 40 agencies, universities, and private companies, including representatives from 24 State geological surveys. This year's meeting, the twelfth in the annual series, was hosted by the Idaho Geological Survey, from May 18-21, 2008, on the University of Idaho campus in Moscow, Idaho. Each DMT workshop has been coordinated by the U.S. Geological Survey's National Geologic Map Database Project and the Association of American State Geologists (AASG). As in previous years' meetings, the objective was to foster informal discussion and exchange of technical information, principally in order to develop more efficient methods for digital mapping, cartography, GIS analysis, and information management. At this meeting, oral and poster presentations and special discussion sessions emphasized (1) methods for creating and publishing map products (here, \"publishing\" includes Web-based release); (2) field data capture software and techniques, including the use of LiDAR; (3) digital cartographic techniques; (4) migration of digital maps into ArcGIS Geodatabase format; (5) analytical GIS techniques; and (6) continued development of the National Geologic Map Database.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Digital Mapping Techniques '08: Workshop Proceedings, Moscow, Idaho, May 18-21, 2008","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Digital Mapping Techniques '08 Workshop","conferenceDate":"May 18-21, 2009","conferenceLocation":"Moscow, Idaho","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20091298","usgsCitation":"Soller, D.R., 2009, Digital Mapping Techniques '08: Workshop Proceedings, Moscow, Idaho, May 18-21, 2008: U.S. Geological Survey Open-File Report 2009-1298, iv, 216 p.; PDF Downloads of Chapters, https://doi.org/10.3133/ofr20091298.","productDescription":"iv, 216 p.; PDF Downloads of Chapters","startPage":"i","endPage":"216","numberOfPages":"220","additionalOnlineFiles":"Y","costCenters":[{"id":420,"text":"National Geologic Map Database","active":false,"usgs":true}],"links":[{"id":116664,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1298.jpg"},{"id":110961,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1298/","linkFileType":{"id":5,"text":"html"}},{"id":362521,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2009/1298/pdf/usgs_of2009-1298.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0123e4b0c8380cd4faec","contributors":{"authors":[{"text":"Soller, David R. 0000-0001-6177-8332 drsoller@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-8332","contributorId":2700,"corporation":false,"usgs":true,"family":"Soller","given":"David","email":"drsoller@usgs.gov","middleInitial":"R.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":353858,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70005706,"text":"ds496 - 2009 - Archive of digital boomer seismic reflection data collected offshore east-central Florida during USGS cruise 00FGS01, July 14-22, 2000","interactions":[],"lastModifiedDate":"2023-12-07T14:45:43.975691","indexId":"ds496","displayToPublicDate":"2011-11-15T00:00:00","publicationYear":"2009","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":"496","title":"Archive of digital boomer seismic reflection data collected offshore east-central Florida during USGS cruise 00FGS01, July 14-22, 2000","docAbstract":"In July of 2000, the U.S. Geological Survey (USGS), in cooperation with the Florida Geological Survey (FGS), conducted a geophysical survey of the Atlantic Ocean offshore Florida's east coast from Brevard County to northern Martin County. This report serves as an archive of unprocessed digital boomer seismic reflection data, trackline maps, navigation files, Geographic Information System (GIS) information, digital and handwritten Field Activity Collection System (FACS) logs, and Federal Geographic Data Committee (FGDC) metadata. A filtered and gained (a relative increase in signal amplitude) digital image of each seismic profile is also provided. Refer to the Acronyms page for expansions of all acronyms and abbreviations used in this report.  The archived trace data are in standard Society of Exploration Geophysicists (SEG) SEG-Y format (Barry and others, 1975) and may be downloaded and processed with commercial or public domain software such as Seismic Unix (SU) (Cohen and Stockwell, 2005). Example SU processing scripts and USGS Software for viewing the SEG-Y files (Zihlman, 1992) are also provided.  The USGS St. Petersburg Coastal and Marine Science Center assigns a unique identifier to each cruise or field activity. For example, 00FGS01 tells us the data were collected in 2000 for cooperative work with the Florida Geological Survey (FGS) and the data were collected during the first field activity for that study in that calendar year. Refer to http://walrus.wr.usgs.gov/infobank/programs/html/definition/activity.html for a detailed description of the method used to assign the field activity ID.  The boomer plate is an acoustic energy source that consists of capacitors charged to a high voltage and discharged through a transducer in the water. The transducer is towed on a sled floating on the water surface and when discharged, emits a short acoustic pulse, or shot, which propagates through the water, sediment column, or rock beneath. The acoustic energy is reflected at density boundaries (such as the seafloor, sediment, or rock layers beneath the seafloor), detected by the receiver, and recorded by a PC-based seismic acquisition system. This process is repeated at timed intervals (for example, 0.5 s) and recorded for specific intervals of time (for example, 100 ms). In this way, a two-dimensional (2D) vertical profile of the shallow geologic structure beneath the ship track is produced. Figure 1 displays the acquisition geometry. Refer to table 1 for a summary of acquisition parameters.  The unprocessed seismic data are stored in SEG-Y format (Barry and others, 1975). For a detailed description of the data format, refer to the SEG-Y Format page. See the How To Download SEG-Y Data page for download instructions. The printable profiles provided are GIF images that were filtered and gained using Seismic Unix software. Refer to the Software page for details about the processing and examples of the processing scripts.  The printable profiles can be viewed from the Profiles page or from links located on the trackline maps. To view the trackline maps and navigation files, and for more information about these items, see the Navigation page. Detailed information about the navigation system used can be found in table 1.  Of a total record length of 200 ms, only the upper 100 ms of each profile are displayed because no useful information was observed deeper in the sections. A 10 ms deep water delay appears on lines b57-b63 and sl2-sl28. No digital data were collected for line sl6. However, line sl6r is a second attempt to collect digital data for this line. Digital data and 500-shot-interval location navigation are not available for the last 1,161 shots of line sl26 due to an equipment malfunction.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds496","usgsCitation":"Subino, J.A., Dadisman, S.V., Wiese, D.S., Calderon, K., and Phelps, D.C., 2009, Archive of digital boomer seismic reflection data collected offshore east-central Florida during USGS cruise 00FGS01, July 14-22, 2000: U.S. Geological Survey Data Series 496, HTML Document, https://doi.org/10.3133/ds496.","productDescription":"HTML Document","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":423293,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_97086.htm","linkFileType":{"id":5,"text":"html"}},{"id":110829,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/496/","linkFileType":{"id":5,"text":"html"}},{"id":116408,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_496.bmp"}],"country":"United States","state":"Florida","county":"Brevard County, Indian River County, Martin County, St. Lucie County","otherGeospatial":"Atlantic Ocean","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.9833,\n              27.1906\n            ],\n            [\n              -79.9833,\n              28.0833\n            ],\n            [\n              -80.5,\n              28.0833\n            ],\n            [\n              -80.5,\n              27.1906\n            ],\n            [\n              -79.9833,\n              27.1906\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac3e4b07f02db678772","contributors":{"authors":[{"text":"Subino, Janice A.","contributorId":50386,"corporation":false,"usgs":true,"family":"Subino","given":"Janice","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":353094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dadisman, Shawn V. sdadisman@usgs.gov","contributorId":2207,"corporation":false,"usgs":true,"family":"Dadisman","given":"Shawn","email":"sdadisman@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":353092,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":353093,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calderon, Karynna","contributorId":92739,"corporation":false,"usgs":true,"family":"Calderon","given":"Karynna","email":"","affiliations":[],"preferred":false,"id":353096,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Phelps, Daniel C.","contributorId":88194,"corporation":false,"usgs":true,"family":"Phelps","given":"Daniel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":353095,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70005969,"text":"ds535A - 2009 - USGS field activity 08FSH01 on the west Florida shelf, Gulf of Mexico, in August 2008","interactions":[],"lastModifiedDate":"2012-02-10T00:12:01","indexId":"ds535A","displayToPublicDate":"2011-11-15T00:00:00","publicationYear":"2009","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":"535","chapter":"A","title":"USGS field activity 08FSH01 on the west Florida shelf, Gulf of Mexico, in August 2008","docAbstract":"From August 11 to 15, 2008, a cruise led by the U.S. Geological Survey (USGS) collected air and sea surface partial pressure of carbon dioxide (pCO2), pH, dissolved inorganic carbon (DIC), and total alkalinity (TA) data on the west Florida shelf. Approximately 1,600 data points were collected underway over a 650-kilometer (km) trackline using the Multiparameter Inorganic Carbon Analyzer (MICA). The collection of data extended from Crystal River southward to Marco Island, Florida (~400 km), and westward up to 160 km off the Florida coast. Discrete water samples from approximately 40 locations were also taken at specific localities to corroborate underway data measurements. The USGS St. Petersburg Coastal and Marine Science Center (SPCMSC) assigns a unique identifier to each cruise or field activity. For example, 08FSH01 tells us the data were collected in 2008 for the Response of Florida Shelf (FSH) Ecosystems to Climate Change project, and the data were collected during the first field activity for that study in that calendar year.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds535A","collaboration":"University of South Florida","usgsCitation":"Robbins, L.L., Knorr, P.O., Liu, X., Byrne, R., and Raabe, E.A., 2009, USGS field activity 08FSH01 on the west Florida shelf, Gulf of Mexico, in August 2008: U.S. Geological Survey Data Series 535, HTML Document, https://doi.org/10.3133/ds535A.","productDescription":"HTML Document","temporalStart":"2008-08-11","temporalEnd":"2008-08-15","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116421,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_535_A.bmp"},{"id":110833,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/535/a/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"West Florida Shelf;Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.63333333333334,24.5 ], [ -87.63333333333334,31 ], [ -79.8,31 ], [ -79.8,24.5 ], [ -87.63333333333334,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a27e4b07f02db6100a3","contributors":{"authors":[{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":353552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knorr, Paul O. pknorr@usgs.gov","contributorId":3691,"corporation":false,"usgs":true,"family":"Knorr","given":"Paul","email":"pknorr@usgs.gov","middleInitial":"O.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":353554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Xuewu","contributorId":87676,"corporation":false,"usgs":true,"family":"Liu","given":"Xuewu","email":"","affiliations":[],"preferred":false,"id":353556,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Byrne, Robert H.","contributorId":83260,"corporation":false,"usgs":true,"family":"Byrne","given":"Robert H.","affiliations":[],"preferred":false,"id":353555,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Raabe, Ellen A. eraabe@usgs.gov","contributorId":2125,"corporation":false,"usgs":true,"family":"Raabe","given":"Ellen","email":"eraabe@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":353553,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70005971,"text":"ds535B - 2009 - USGS field activity 09FSH01 on the west Florida shelf, Gulf of Mexico, in February 2009","interactions":[],"lastModifiedDate":"2012-02-10T00:12:01","indexId":"ds535B","displayToPublicDate":"2011-11-15T00:00:00","publicationYear":"2009","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":"535","chapter":"B","title":"USGS field activity 09FSH01 on the west Florida shelf, Gulf of Mexico, in February 2009","docAbstract":"From February 24 to 28, 2009, a cruise led by the U.S. Geological Survey (USGS) collected air and sea surface partial pressure of carbon dioxide (pCO2), pH, dissolved inorganic carbon (DIC), and total alkalinity (TA) data on the west Florida shelf. Approximately 1,800 data points were collected underway over a 1,300-kilometer (km) trackline using the Multiparameter Inorganic Carbon Analyzer (MICA). The collection of data extended from Crystal River to Marco Island, Florida (~400 km), and westward up to 160 km off the Florida coast. Discrete water samples were also taken at specific localities to corroborate underway data measurements. The USGS St. Petersburg Coastal and Marine Science Center (SPCMSC) assigns a unique identifier to each cruise or field activity. For example, 09FSH01 tells us that the data were collected in 2009 for the Response of Florida Shelf (FSH) Ecosystems to Climate Change project, and the data were collected during the first field activity for that study in that calendar year.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds535B","collaboration":"University of South Florida","usgsCitation":"Robbins, L.L., Knorr, P.O., Liu, X., Byrne, R., and Raabe, E.A., 2009, USGS field activity 09FSH01 on the west Florida shelf, Gulf of Mexico, in February 2009: U.S. Geological Survey Data Series 535, HTML Document, https://doi.org/10.3133/ds535B.","productDescription":"HTML Document","temporalStart":"2009-02-24","temporalEnd":"2009-02-28","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116420,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_535_B.bmp"},{"id":110834,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/535/b/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"West Florida Shelf;Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.63333333333334,24.5 ], [ -87.63333333333334,31 ], [ -79.8,31 ], [ -79.8,24.5 ], [ -87.63333333333334,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a26e4b07f02db60fccd","contributors":{"authors":[{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":353559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knorr, Paul O. pknorr@usgs.gov","contributorId":3691,"corporation":false,"usgs":true,"family":"Knorr","given":"Paul","email":"pknorr@usgs.gov","middleInitial":"O.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":353561,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Xuewu","contributorId":87676,"corporation":false,"usgs":true,"family":"Liu","given":"Xuewu","email":"","affiliations":[],"preferred":false,"id":353563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Byrne, Robert H.","contributorId":83260,"corporation":false,"usgs":true,"family":"Byrne","given":"Robert H.","affiliations":[],"preferred":false,"id":353562,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Raabe, Ellen A. eraabe@usgs.gov","contributorId":2125,"corporation":false,"usgs":true,"family":"Raabe","given":"Ellen","email":"eraabe@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":353560,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70005973,"text":"ds535C - 2009 - USGS field activity 09FSH02 on the west Florida shelf, Gulf of Mexico, in August 2009","interactions":[],"lastModifiedDate":"2012-02-10T00:12:01","indexId":"ds535C","displayToPublicDate":"2011-11-15T00:00:00","publicationYear":"2009","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":"535","chapter":"C","title":"USGS field activity 09FSH02 on the west Florida shelf, Gulf of Mexico, in August 2009","docAbstract":"From August 17 to 21, 2009, a cruise led by the U.S. Geological Survey (USGS) collected air and sea surface partial pressure of carbon dioxide (pCO2), pH, dissolved inorganic carbon (DIC), and total alkalinity (TA) data on the west Florida shelf. Approximately 2,000 data points were collected underway over a 1,320-kilometer (km) track line using the Multiparameter Inorganic Carbon Analyzer (MICA). The collection of data extended from Crystal River to Marco Island, Florida (~400 km), and westward up to 160 km off the Florida coast. Discrete water samples were also taken at specific localities to corroborate underway data measurements. The USGS St. Petersburg Coastal and Marine Science Center (SPCMSC) assigns a unique identifier to each cruise or field activity. For example, 09FSH02 tells us that the data were collected in 2009 for the Response of Florida Shelf (FSH) Ecosystems to Climate Change project, and the data were collected during the second field activity for that study in that calendar year.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds535C","collaboration":"University of South Florida","usgsCitation":"Robbins, L.L., Knorr, P.O., Liu, X., Byrne, R., and Raabe, E.A., 2009, USGS field activity 09FSH02 on the west Florida shelf, Gulf of Mexico, in August 2009: U.S. Geological Survey Data Series 535, HTML Document, https://doi.org/10.3133/ds535C.","productDescription":"HTML Document","temporalStart":"2009-08-17","temporalEnd":"2009-08-21","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116422,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_535_C.bmp"},{"id":110835,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/535/c/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"West Florida Shelf;Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.63333333333334,24.5 ], [ -87.63333333333334,31 ], [ -79.8,31 ], [ -79.8,24.5 ], [ -87.63333333333334,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a26e4b07f02db60fe6a","contributors":{"authors":[{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":353565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knorr, Paul O. pknorr@usgs.gov","contributorId":3691,"corporation":false,"usgs":true,"family":"Knorr","given":"Paul","email":"pknorr@usgs.gov","middleInitial":"O.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":353567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Xuewu","contributorId":87676,"corporation":false,"usgs":true,"family":"Liu","given":"Xuewu","email":"","affiliations":[],"preferred":false,"id":353569,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Byrne, Robert H.","contributorId":83260,"corporation":false,"usgs":true,"family":"Byrne","given":"Robert H.","affiliations":[],"preferred":false,"id":353568,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Raabe, Ellen A. eraabe@usgs.gov","contributorId":2125,"corporation":false,"usgs":true,"family":"Raabe","given":"Ellen","email":"eraabe@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":353566,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70003392,"text":"70003392 - 2009 - Population density estimated from locations of individuals on a passive detector array","interactions":[],"lastModifiedDate":"2012-02-02T00:15:57","indexId":"70003392","displayToPublicDate":"2011-10-14T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Population density estimated from locations of individuals on a passive detector array","docAbstract":"The density of a closed population of animals occupying stable home ranges may be estimated from detections of individuals on an array of detectors, using newly developed methods for spatially explicit capture&ndash;recapture. Likelihood-based methods provide estimates for data from multi-catch traps or from devices that record presence without restricting animal movement (\"proximity\" detectors such as camera traps and hair snags). As originally proposed, these methods require multiple sampling intervals. We show that equally precise and unbiased estimates may be obtained from a single sampling interval, using only the spatial pattern of detections. This considerably extends the range of possible applications, and we illustrate the potential by estimating density from simulated detections of bird vocalizations on a microphone array. Acoustic detection can be defined as occurring when received signal strength exceeds a threshold. We suggest detection models for binary acoustic data, and for continuous data comprising measurements of all signals above the threshold. While binary data are often sufficient for density estimation, modeling signal strength improves precision when the microphone array is small.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","usgsCitation":"Efford, M.G., Dawson, D.K., and Borchers, D., 2009, Population density estimated from locations of individuals on a passive detector array: Ecology, v. 90, no. 10, p. 2676-2682.","productDescription":"7 p.","startPage":"2676","endPage":"2682","numberOfPages":"7","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":204472,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":21672,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://www.esajournals.org/doi/abs/10.1890/08-1735.1","linkFileType":{"id":5,"text":"html"}}],"volume":"90","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67c19a","contributors":{"authors":[{"text":"Efford, Murray G.","contributorId":91616,"corporation":false,"usgs":true,"family":"Efford","given":"Murray","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":347105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dawson, Deanna K. ddawson@usgs.gov","contributorId":1257,"corporation":false,"usgs":true,"family":"Dawson","given":"Deanna","email":"ddawson@usgs.gov","middleInitial":"K.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":347103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borchers, David L.","contributorId":31106,"corporation":false,"usgs":true,"family":"Borchers","given":"David L.","affiliations":[],"preferred":false,"id":347104,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003424,"text":"70003424 - 2009 - Paraphyly of <i>Cinclodes fuscus</i> (Aves: Passeriformes: Furnariidae): Implications for taxonomy and biogeography","interactions":[],"lastModifiedDate":"2012-02-02T00:16:01","indexId":"70003424","displayToPublicDate":"2011-09-28T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2779,"text":"Molecular Phylogenetics and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Paraphyly of <i>Cinclodes fuscus</i> (Aves: Passeriformes: Furnariidae): Implications for taxonomy and biogeography","docAbstract":"The Andes are a hotspot of global avian diversity, but studies on the historical diversification of Andean birds remain relatively scarce. Evolutionary studies on avian lineages with Andean&ndash;Patagonian distributions have focused on reconstructing species-level phylogenies, whereas no detailed phylogeographic studies on widespread species have been conducted. Here, we describe phylogeographic patterns in the Bar-winged Cinclodes (<i>Cinclodes fuscus</i>), a widespread and common species of ovenbird (Furnariidae) that breeds from Tierra del Fuego to the northern Andes. Traditionally, <i>C. fuscus</i> has been considered a single species composed of nine subspecies, but its long and narrow range suggests the possibility of considerable genetic variation among populations. Sequences of two mitochondrial genes revealed three discrete and geographically coherent groups of <i>C. fuscus</i>, occupying the southern, central, and northern Andes. Surprisingly, phylogenetic analyses indicated that these groups were more closely related to other species of <i>Cinclodes</i> than to each other. Relationships of the southern and northern <i>C. fuscus</i> clades to other species of <i>Cinclodes</i> were straightforward; in combination with available information on plumage, behavioral, and vocal variation, this suggests that each should be recognized as a distinct biological species. The central Andean group was paraphyletic with respect to <i>C. oustaleti</i>, and relationships among these taxa and <i>C. olrogi</i> were poorly resolved. We suggest that the central Andean <i>C. fuscus</i> should also be considered a different species, pending new information to clarify species limits in this group. These new phylogenetic data, along with recently developed methods, allowed us to review the biogeography of the genus, confirming southern South America and the central Andes as important areas for the diversification of these birds.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Molecular Phylogenetics and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","usgsCitation":"Sanin, C., Cadena, C.D., Maley, J.M., Lijtmaer, D.A., Tubaro, P.L., and Chesser, R., 2009, Paraphyly of <i>Cinclodes fuscus</i> (Aves: Passeriformes: Furnariidae): Implications for taxonomy and biogeography: Molecular Phylogenetics and Evolution, v. 53, no. 2, p. 547-555.","productDescription":"9 p.","startPage":"547","endPage":"555","numberOfPages":"9","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":204411,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":94215,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S1055790309002401","linkFileType":{"id":5,"text":"html"}}],"otherGeospatial":"Andes;Patagonia","volume":"53","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae3e4b07f02db689330","contributors":{"authors":[{"text":"Sanin, Camilo","contributorId":94166,"corporation":false,"usgs":true,"family":"Sanin","given":"Camilo","email":"","affiliations":[],"preferred":false,"id":347248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cadena, Carlos Daniel","contributorId":43481,"corporation":false,"usgs":true,"family":"Cadena","given":"Carlos","email":"","middleInitial":"Daniel","affiliations":[],"preferred":false,"id":347245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maley, James M.","contributorId":74249,"corporation":false,"usgs":true,"family":"Maley","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":347246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lijtmaer, Dario A.","contributorId":26933,"corporation":false,"usgs":true,"family":"Lijtmaer","given":"Dario","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":347244,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tubaro, Pablo L.","contributorId":14257,"corporation":false,"usgs":true,"family":"Tubaro","given":"Pablo","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":347243,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chesser, R. Terry 0000-0003-4389-7092","orcid":"https://orcid.org/0000-0003-4389-7092","contributorId":87669,"corporation":false,"usgs":true,"family":"Chesser","given":"R. Terry","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":347247,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70003574,"text":"70003574 - 2009 - Occupancy estimation and the closure assumption","interactions":[],"lastModifiedDate":"2012-02-02T00:15:58","indexId":"70003574","displayToPublicDate":"2011-09-23T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Occupancy estimation and the closure assumption","docAbstract":"1.  Recent advances in occupancy estimation that adjust for imperfect detection have provided substantial improvements over traditional approaches and are receiving considerable use in applied ecology. To estimate and adjust for detectability, occupancy modelling requires multiple surveys at a site and requires the assumption of 'closure' between surveys, i.e. no changes in occupancy between surveys. Violations of this assumption could bias parameter estimates; however, little work has assessed model sensitivity to violations of this assumption or how commonly such violations occur in nature.  2.  We apply a modelling procedure that can test for closure to two avian point-count data sets in Montana and New Hampshire, USA, that exemplify time-scales at which closure is often assumed. These data sets illustrate different sampling designs that allow testing for closure but are currently rarely employed in field investigations. Using a simulation study, we then evaluate the sensitivity of parameter estimates to changes in site occupancy and evaluate a power analysis developed for sampling designs that is aimed at limiting the likelihood of closure.  3.  Application of our approach to point-count data indicates that habitats may frequently be open to changes in site occupancy at time-scales typical of many occupancy investigations, with 71% and 100% of species investigated in Montana and New Hampshire respectively, showing violation of closure across time periods of 3 weeks and 8 days respectively.  4.  Simulations suggest that models assuming closure are sensitive to changes in occupancy. Power analyses further suggest that the modelling procedure we apply can effectively test for closure.  5.  <i>Synthesis and applications.</i> Our demonstration that sites may be open to changes in site occupancy over time-scales typical of many occupancy investigations, combined with the sensitivity of models to violations of the closure assumption, highlights the importance of properly addressing the closure assumption in both sampling designs and analysis. Furthermore, inappropriately applying closed models could have negative consequences when monitoring rare or declining species for conservation and management decisions, because violations of closure typically lead to overestimates of the probability of occurrence.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"British Ecological Society","publisherLocation":"London, England","usgsCitation":"Rota, C., Fletcher, R.J., Dorazio, R.M., and Betts, M.G., 2009, Occupancy estimation and the closure assumption: Journal of Applied Ecology, v. 46, no. 6, p. 1173-1181.","productDescription":"9 p.","startPage":"1173","endPage":"1181","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":204559,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":94182,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1111/j.1365-2664.2009.01734.x/full","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Montana;New Hampshire","volume":"46","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a82e4b07f02db64af20","contributors":{"authors":[{"text":"Rota, Christopher T.","contributorId":92547,"corporation":false,"usgs":true,"family":"Rota","given":"Christopher T.","affiliations":[],"preferred":false,"id":347815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fletcher, Robert J. Jr.","contributorId":41294,"corporation":false,"usgs":true,"family":"Fletcher","given":"Robert","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":347814,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dorazio, Robert M. 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":1668,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":347812,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Betts, Matthew G.","contributorId":27748,"corporation":false,"usgs":true,"family":"Betts","given":"Matthew","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":347813,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003548,"text":"70003548 - 2009 - Mechanisms of population heterogeneity among molting common mergansers on Kodiak Island, Alaska: Implications for genetic assessments of migratory connectivity","interactions":[],"lastModifiedDate":"2018-07-14T13:47:09","indexId":"70003548","displayToPublicDate":"2011-08-31T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"Mechanisms of population heterogeneity among molting common mergansers on Kodiak Island, Alaska: Implications for genetic assessments of migratory connectivity","docAbstract":"<p><span>Quantifying population genetic heterogeneity within nonbreeding aggregations can inform our understanding of patterns of site fidelity, migratory connectivity, and gene flow between breeding and nonbreeding areas. However, characterizing mechanisms that contribute to heterogeneity, such as migration and dispersal, is required before site fidelity and migratory connectivity can be assessed accurately. We studied nonbreeding groups of Common Mergansers (</span><i>Mergus merganser</i><span>) molting on Kodiak Island, Alaska, from 2005 to 2007, using banding data to assess rates of recapture, mitochondrial (mt) DNA to determine natal area, and nuclear microsatellite genotypes to assess dispersal. Using baseline information from differentiated mtDNA haplogroups across North America, we were able to assign individuals to natal regions and document population genetic heterogeneity within and among molting groups. Band-recovery and DNA data suggest that both migration from and dispersal among natal areas contribute to admixed groups of males molting on Kodiak Island. A lack of differentiation in the Common Merganser's nuclear, bi-parentally inherited DNA, observed across North America, implies that dispersal can mislead genetic assessments of migratory connectivity and assignments of nonbreeding individuals to breeding areas. Thus multiple and independent data types are required to account for such behaviors before accurate assessments of migratory connectivity can be made.</span></p>","language":"English","publisher":"American Ornithological Society","doi":"10.1525/cond.2009.080043","usgsCitation":"Pearce, J.M., Zwiefelhofer, D., and Maryanski, N., 2009, Mechanisms of population heterogeneity among molting common mergansers on Kodiak Island, Alaska: Implications for genetic assessments of migratory connectivity: Condor, v. 111, no. 2, p. 283-293, https://doi.org/10.1525/cond.2009.080043.","productDescription":"11 p.","startPage":"283","endPage":"293","temporalStart":"2005-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":475993,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/cond.2009.080043","text":"Publisher Index Page"},{"id":204098,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kodiak Island","volume":"111","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2ae4b07f02db611fcc","contributors":{"authors":[{"text":"Pearce, John M. 0000-0002-8503-5485 jpearce@usgs.gov","orcid":"https://orcid.org/0000-0002-8503-5485","contributorId":181766,"corporation":false,"usgs":true,"family":"Pearce","given":"John","email":"jpearce@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":347700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zwiefelhofer, Denny","contributorId":29944,"corporation":false,"usgs":true,"family":"Zwiefelhofer","given":"Denny","affiliations":[],"preferred":false,"id":347702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maryanski, Nate","contributorId":23818,"corporation":false,"usgs":true,"family":"Maryanski","given":"Nate","email":"","affiliations":[],"preferred":false,"id":347701,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003381,"text":"70003381 - 2009 - Improved constraints on the estimated size and volatile content of the Mount St. Helens magma system from the 2004–2008 history of dome growth and deformation","interactions":[],"lastModifiedDate":"2021-03-02T17:17:24.977313","indexId":"70003381","displayToPublicDate":"2011-08-19T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Improved constraints on the estimated size and volatile content of the Mount St. Helens magma system from the 2004–2008 history of dome growth and deformation","docAbstract":"<p><span>The history of dome growth and geodetic deflation during the 2004–2008 Mount St. Helens eruption can be fit to theoretical curves with parameters such as reservoir volume, bubble content, initial overpressure, and magma rheology, here assumed to be Newtonian viscous, with or without a solid plug in the conduit center. Data from 2004–2008 are consistent with eruption from a 10–25 km</span><sup>3</sup><span>&nbsp;reservoir containing 0.5–2% bubbles, an initial overpressure of 10–20 MPa, and no significant, sustained recharge. During the eruption we used curve fits to project the eruption's final duration and volume. Early projections predicted a final volume only about half of the actual value; but projections increased with each measurement, implying a temporal increase in reservoir volume or compressibility. A simple interpretation is that early effusion was driven by a 5–10 km</span><sup>3</sup><span>, integrated core of fluid magma. This core expanded with time through creep of semi‐solid magma and host rock.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2009GL039863","usgsCitation":"Mastin, L.G., Lisowski, M., Roeloffs, E., and Beeler, N., 2009, Improved constraints on the estimated size and volatile content of the Mount St. Helens magma system from the 2004–2008 history of dome growth and deformation: Geophysical Research Letters, v. 36, no. 20, p. 1-4, https://doi.org/10.1029/2009GL039863.","productDescription":"4 p.","startPage":"1","endPage":"4","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":475994,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009gl039863","text":"Publisher Index Page"},{"id":383720,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount St. Helens","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.41666666666667,46 ], [ -122.41666666666667,46.333333333333336 ], [ -122,46.333333333333336 ], [ -122,46 ], [ -122.41666666666667,46 ] ] ] } } ] }","volume":"36","issue":"20","noUsgsAuthors":false,"publicationDate":"2009-10-20","publicationStatus":"PW","scienceBaseUri":"4f4e49fde4b07f02db5f5eb6","contributors":{"authors":[{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":347069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lisowski, Mike","contributorId":26801,"corporation":false,"usgs":true,"family":"Lisowski","given":"Mike","email":"","affiliations":[],"preferred":false,"id":347070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roeloffs, Evelyn","contributorId":35417,"corporation":false,"usgs":true,"family":"Roeloffs","given":"Evelyn","affiliations":[],"preferred":false,"id":347071,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beeler, Nick","contributorId":66834,"corporation":false,"usgs":true,"family":"Beeler","given":"Nick","affiliations":[],"preferred":false,"id":347072,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003852,"text":"70003852 - 2009 - Effects of experimental protocol on global vegetation model accuracy: a comparison of simulated and observed vegetation patterns for Asia","interactions":[],"lastModifiedDate":"2012-02-02T00:15:53","indexId":"70003852","displayToPublicDate":"2011-08-19T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Effects of experimental protocol on global vegetation model accuracy: a comparison of simulated and observed vegetation patterns for Asia","docAbstract":"Prognostic vegetation models have been widely used to study the interactions between environmental change and biological systems. This study examines the sensitivity of vegetation model simulations to: (i) the selection of input climatologies representing different time periods and their associated atmospheric CO<sub>2</sub> concentrations, (ii) the choice of observed vegetation data for evaluating the model results, and (iii) the methods used to compare simulated and observed vegetation. We use vegetation simulated for Asia by the equilibrium vegetation model BIOME4 as a typical example of vegetation model output. BIOME4 was run using 19 different climatologies and their associated atmospheric CO<sub>2</sub> concentrations. The Kappa statistic, Fuzzy Kappa statistic and a newly developed map-comparison method, the Nomad index, were used to quantify the agreement between the biomes simulated under each scenario and the observed vegetation from three different global land- and tree-cover data sets: the global Potential Natural Vegetation data set (PNV), the Global Land Cover Characteristics data set (GLCC), and the Global Land Cover Facility data set (GLCF). The results indicate that the 30-year mean climatology (and its associated atmospheric CO<sub>2</sub> concentration) for the time period immediately preceding the collection date of the observed vegetation data produce the most accurate vegetation simulations when compared with all three observed vegetation data sets. The study also indicates that the BIOME4-simulated vegetation for Asia more closely matches the PNV data than the other two observed vegetation data sets. Given the same observed data, the accuracy assessments of the BIOME4 simulations made using the Kappa, Fuzzy Kappa and Nomad index map-comparison methods agree well when the compared vegetation types consist of a large number of spatially continuous grid cells. The results of this analysis can assist model users in designing experimental protocols for simulating vegetation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Modelling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","usgsCitation":"Tang, G., Shafer, S., Barlein, P.J., and Holman, J.O., 2009, Effects of experimental protocol on global vegetation model accuracy: a comparison of simulated and observed vegetation patterns for Asia: Ecological Modelling, v. 220, no. 12, p. 1481-1491.","productDescription":"11 p.","startPage":"1481","endPage":"1491","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":204002,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":91768,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S0304380009001999","linkFileType":{"id":5,"text":"html"}}],"otherGeospatial":"Asia","volume":"220","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2fe4b07f02db615b08","contributors":{"authors":[{"text":"Tang, Guoping","contributorId":31891,"corporation":false,"usgs":true,"family":"Tang","given":"Guoping","email":"","affiliations":[],"preferred":false,"id":349151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shafer, Sarah L.","contributorId":32623,"corporation":false,"usgs":true,"family":"Shafer","given":"Sarah L.","affiliations":[],"preferred":false,"id":349152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barlein, Patrick J.","contributorId":75262,"corporation":false,"usgs":true,"family":"Barlein","given":"Patrick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":349154,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holman, Justin O.","contributorId":58384,"corporation":false,"usgs":true,"family":"Holman","given":"Justin","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":349153,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003458,"text":"70003458 - 2009 - Dynamic multistate site occupancy models to evaluate hypotheses relevant to conservation of Golden Eagles in Denali National Park, Alaska","interactions":[],"lastModifiedDate":"2012-02-02T00:15:52","indexId":"70003458","displayToPublicDate":"2011-08-03T01:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic multistate site occupancy models to evaluate hypotheses relevant to conservation of Golden Eagles in Denali National Park, Alaska","docAbstract":"The recent development of multistate site occupancy models offers great opportunities to frame and solve decision problems for conservation that can be viewed in terms of site occupancy. These models have several characteristics (e.g., they account for detectability) that make them particularly well suited for addressing management and conservation problems. We applied multistate site occupancy models to evaluate hypotheses related to the conservation and management of Golden Eagles (Aquila chrysaetos) in Denali National Park, Alaska, and provided estimates of transition probabilities among three occupancy states for nesting areas (occupied with successful reproduction, occupied with unsuccessful reproduction, and unoccupied). Our estimation models included the effect of potential recreational activities (hikers) and environmental covariates such as a snowshoe hare (Lepus americanus) index on transition probabilities among the three occupancy states. Based on the most parsimonious model, support for the hypothesis of an effect of potential human disturbance on site occupancy dynamics was equivocal. There was some evidence that potential human disturbance negatively affected local colonization of territories, but there was no evidence of an effect on reproductive performance parameters. In addition, models that assume a positive relationship between the hare index and successful reproduction were well supported by the data. The statistical approach that we used is particularly useful to parameterize management models that can then be used to make optimal decisions related to the management of Golden Eagles in Denali. Although in our case we were particularly interested in managing recreational activities, we believe that such models should be useful to for a broad class of management and conservation problems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.biocon.2009.06.027","usgsCitation":"Martin, J., McIntyre, C.L., Hines, J., Nichols, J., Schmutz, J.A., and MacCluskie, M.C., 2009, Dynamic multistate site occupancy models to evaluate hypotheses relevant to conservation of Golden Eagles in Denali National Park, Alaska: Biological Conservation, v. 142, no. 11, p. 2726-2731, https://doi.org/10.1016/j.biocon.2009.06.027.","productDescription":"6 p.","startPage":"2726","endPage":"2731","numberOfPages":"6","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":204151,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":21710,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://dx.doi.org/10.1016/j.biocon.2009.06.027","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Denali National Park","volume":"142","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a5ee4b07f02db633be8","contributors":{"authors":[{"text":"Martin, Julien 0000-0002-7375-129X julienmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":5785,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","email":"julienmartin@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":347351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McIntyre, Carol L.","contributorId":94642,"corporation":false,"usgs":true,"family":"McIntyre","given":"Carol","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":347353,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hines, James E. jhines@usgs.gov","contributorId":3506,"corporation":false,"usgs":true,"family":"Hines","given":"James E.","email":"jhines@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":347350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":347348,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":347349,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"MacCluskie, Margaret C.","contributorId":50643,"corporation":false,"usgs":false,"family":"MacCluskie","given":"Margaret","email":"","middleInitial":"C.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":347352,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70003500,"text":"70003500 - 2009 - Does influenza A affect body condition of wild mallard ducks, or vice versa?","interactions":[],"lastModifiedDate":"2017-02-21T11:47:03","indexId":"70003500","displayToPublicDate":"2011-08-02T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Does influenza A affect body condition of wild mallard ducks, or vice versa?","docAbstract":"<p><span>Low pathogenic avian influenza (LPAI) viruses are well documented to circulate within wild waterfowl populations (Olsen et. al. 2006</span><span>). It has been assumed that these infections are benign with no subsequent effects on life-history parameters. The study by Latorre-Margalef </span><i>et al.</i><span> (2009</span><span>; hereafter L.-M. </span><i>et al.</i><span>) represents an important step, as they attempt to test this assumption in wild birds. L.-M. </span><i>et al.</i><span> captured migrating mallards (</span><i>Anas platyrhynchos</i><span>) at a staging area and tested them for the presence of avian influenza A virus (IAV). They related IAV infection status to body mass and duration of time spent on the staging area. Overall, the study is well designed with impressive sample sizes and the analyses are carefully conducted and presented. However, in discussing these results, the authors assume causation based upon correlation and, although they acknowledge the possibility of immunosuppression during migration due to reduced energy stores, they do not discuss it as a possible explanation for their findings. Below, we consider several of the major findings by L.-M. </span><i>et al.</i><span>, providing alternative explanations for the results. Because the L.-M. </span><i>et al.</i><span> study design is correlational, it is not possible to use their data to distinguish between their interpretations and our alternative explanations.</span></p>","language":"English","publisher":"Royal Society Publishing","publisherLocation":"London, United Kingdom","doi":"10.1098/rspb.2008.1962","usgsCitation":"Flint, P.L., and Franson, J., 2009, Does influenza A affect body condition of wild mallard ducks, or vice versa?: Proceedings of the Royal Society B: Biological Sciences, v. 276, no. 1666, p. 2345-2346, https://doi.org/10.1098/rspb.2008.1962.","productDescription":"2 p.","startPage":"2345","endPage":"2346","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":475998,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2690457","text":"External Repository"},{"id":203938,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"276","issue":"1666","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a61e4b07f02db6360ed","contributors":{"authors":[{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":347539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Franson, J. Christian 0000-0002-0251-4238","orcid":"https://orcid.org/0000-0002-0251-4238","contributorId":95002,"corporation":false,"usgs":true,"family":"Franson","given":"J. Christian","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":347540,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70003504,"text":"70003504 - 2009 - Avian influenza at both ends of a migratory flyway: characterizing viral genomic diversity to optimize surveillance plans for North America","interactions":[],"lastModifiedDate":"2018-07-15T18:37:16","indexId":"70003504","displayToPublicDate":"2011-07-30T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"title":"Avian influenza at both ends of a migratory flyway: characterizing viral genomic diversity to optimize surveillance plans for North America","docAbstract":"<p>Although continental populations of avian influenza viruses are genetically distinct, transcontinental reassortment in low pathogenic avian influenza (LPAI) viruses has been detected in migratory birds. Thus, genomic analyses of LPAI viruses could serve as an approach to prioritize species and regions targeted by North American surveillance activities for foreign origin highly pathogenic avian influenza (HPAI). To assess the applicability of this approach, we conducted a phylogenetic and population genetic analysis of 68 viral genomes isolated from the northern pintail (Anas acuta) at opposite ends of the Pacific migratory flyway in North America. We found limited evidence for Asian LPAI lineages on wintering areas used by northern pintails in California in contrast to a higher frequency on breeding locales of Alaska. Our results indicate that the number of Asian LPAI lineages observed in Alaskan northern pintails, and the nucleotide composition of LPAI lineages, is not maintained through fall migration. Accordingly, our data indicate that surveillance of Pacific Flyway northern pintails to detect foreign avian influenza viruses would be most effective in Alaska. North American surveillance plans could be optimized through an analysis of LPAI genomics from species that demonstrate evolutionary linkages with European or Asian lineages and in regions that have overlapping migratory flyways with areas of HPAI outbreaks.</p>","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1752-4571.2009.00071.x","usgsCitation":"Pearce, J.M., Ramey, A.M., Flint, P.L., Koehler, A., Fleskes, J.P., Franson, J., Hall, J.S., Derksen, D.V., and Ip, S., 2009, Avian influenza at both ends of a migratory flyway: characterizing viral genomic diversity to optimize surveillance plans for North America: Evolutionary Applications, v. 2, no. 4, p. 457-468, https://doi.org/10.1111/j.1752-4571.2009.00071.x.","productDescription":"12 p.","startPage":"457","endPage":"468","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":456,"text":"National 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,{"id":70003597,"text":"70003597 - 2009 - Geographic extent and chronology of the invasion of non-native lionfish (Pterois volitans [Linnaeus 1758] and P. miles [Bennett 1828]) in the Western North Atlantic and Caribbean Sea","interactions":[],"lastModifiedDate":"2012-02-02T00:15:56","indexId":"70003597","displayToPublicDate":"2011-07-22T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":868,"text":"Aquatic Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Geographic extent and chronology of the invasion of non-native lionfish (Pterois volitans [Linnaeus 1758] and P. miles [Bennett 1828]) in the Western North Atlantic and Caribbean Sea","docAbstract":"The Indo-Pacific lionfishes (Pterois volitans [Linnaeus 1758] and P. miles [Bennett 1828]: Family Scorpaenidae) are the first non-native marine fishes to establish in the Western North Atlantic. The chronology of the invasion is reported here using records from the US Geological Survey's Nonindigenous Aquatic Species database. Currently, lionfish are established off the Atlantic coast of the USA from the Florida Keys to Cape Hatteras (North Carolina), the Great Antilles, Bermuda, Bahamas, Cayman Islands and Turks and Caicos. The species have been reported from only one island in the Lesser Antilles (St. Croix), but it is not yet established there. Lionfish are established in Mexico, Honduras and Costa Rica. Reports have come from the Gulf of Mexico (Florida), Belize, Panama and Colombia; although lionfish are not considered established in these localities at this time (August 2009), invasion is likely imminent.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aquatic Invasions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre","publisherLocation":"Helsinki, Finland","usgsCitation":"Schofield, P., 2009, Geographic extent and chronology of the invasion of non-native lionfish (Pterois volitans [Linnaeus 1758] and P. miles [Bennett 1828]) in the Western North Atlantic and Caribbean Sea: Aquatic Invasions, v. 4, no. 3, p. 473-479.","productDescription":"7 p.","startPage":"473","endPage":"479","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":204007,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":24430,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://www.aquaticinvasions.net/2009/AI_2009_4_3_Schofield.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","volume":"4","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1be4b07f02db6a90c9","contributors":{"authors":[{"text":"Schofield, Pamela J. 0000-0002-8752-2797","orcid":"https://orcid.org/0000-0002-8752-2797","contributorId":30306,"corporation":false,"usgs":true,"family":"Schofield","given":"Pamela J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":347883,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70003539,"text":"70003539 - 2009 - An improved procedure for detection and enumeration of walrus signatures in airborne thermal imagery","interactions":[],"lastModifiedDate":"2013-03-24T13:54:49","indexId":"70003539","displayToPublicDate":"2011-07-14T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2027,"text":"International Journal of Applied Earth Observation and Geoinformation","active":true,"publicationSubtype":{"id":10}},"title":"An improved procedure for detection and enumeration of walrus signatures in airborne thermal imagery","docAbstract":"In recent years, application of remote sensing to marine mammal surveys has been a promising area of investigation for wildlife managers and researchers. In April 2006, the United States and Russia conducted an aerial survey of Pacific walrus (Odobenus rosmarus divergens) using thermal infrared sensors to detect groups of animals resting on pack ice in the Bering Sea. The goal of this survey was to estimate the size of the Pacific walrus population. An initial analysis of the U.S. data using previously-established methods resulted in lower detectability of walrus groups in the imagery and higher variability in calibration models than was expected based on pilot studies. This paper describes an improved procedure for detection and enumeration of walrus groups in airborne thermal imagery.  Thermal images were first subdivided into smaller 200 x 200 pixel \"tiles.\" We calculated three statistics to represent characteristics of walrus signatures from the temperature histogram for each the. Tiles that exhibited one or more of these characteristics were examined further to determine if walrus signatures were present. We used cluster analysis on tiles that contained walrus signatures to determine which pixels belonged to each group. We then calculated a thermal index value for each walrus group in the imagery and used generalized linear models to estimate detection functions (the probability of a group having a positive index value) and calibration functions (the size of a group as a function of its index value) based on counts from matched digital aerial photographs. The new method described here improved our ability to detect walrus groups at both 2 m and 4 m spatial resolution. In addition, the resulting calibration models have lower variance than the original method. We anticipate that the use of this new procedure will greatly improve the quality of the population estimate derived from these data. This procedure may also have broader applicability to thermal infrared surveys of other wildlife species. Published by Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Applied Earth Observation and Geoinformation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier Science BV","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jag.2009.05.004","usgsCitation":"Burn, D.M., Udevitz, M.S., Speckman, S., and Benter, R.B., 2009, An improved procedure for detection and enumeration of walrus signatures in airborne thermal imagery: International Journal of Applied Earth Observation and Geoinformation, v. 11, no. 5, p. 324-333, https://doi.org/10.1016/j.jag.2009.05.004.","productDescription":"10 p.","startPage":"324","endPage":"333","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":204037,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269904,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jag.2009.05.004"}],"volume":"11","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad8e4b07f02db684869","contributors":{"authors":[{"text":"Burn, Douglas M.","contributorId":62081,"corporation":false,"usgs":true,"family":"Burn","given":"Douglas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":347683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Udevitz, Mark S. 0000-0003-4659-138X mudevitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4659-138X","contributorId":3189,"corporation":false,"usgs":true,"family":"Udevitz","given":"Mark","email":"mudevitz@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":347681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Speckman, Suzann G.","contributorId":88217,"corporation":false,"usgs":true,"family":"Speckman","given":"Suzann G.","affiliations":[],"preferred":false,"id":347684,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Benter, R. Bradley","contributorId":23388,"corporation":false,"usgs":true,"family":"Benter","given":"R.","email":"","middleInitial":"Bradley","affiliations":[],"preferred":false,"id":347682,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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