{"pageNumber":"1630","pageRowStart":"40725","pageSize":"25","recordCount":184615,"records":[{"id":70039197,"text":"sim3216 - 2012 - Flood-inundation maps for the West Branch Delaware River, Delhi, New York, 2012","interactions":[],"lastModifiedDate":"2012-07-26T01:02:11","indexId":"sim3216","displayToPublicDate":"2012-07-25T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3216","title":"Flood-inundation maps for the West Branch Delaware River, Delhi, New York, 2012","docAbstract":"Digital flood-inundation maps for a 5-mile reach of the West Branch Delaware River through the Village and part of the Town of Delhi, New York, were created by the U.S. Geological Survey (USGS) in cooperation with the Village of Delhi, the Delaware County Soil and Water Conservation District, and the Delaware County Planning Department. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/ and the Federal Flood Inundation Mapper Web site at http://wim.usgs.gov/FIMI/FloodInundationMapper.html, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) referenced to the USGS streamgage at West Branch Delaware River upstream from Delhi, N.Y. (station number 01421900).\r\nIn this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model that had been used to produce the flood insurance rate maps for the most recent flood insurance study for the Town and Village of Delhi. This hydraulic model was used to compute 10 water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum and ranging from 7 ft or near bankfull to 16 ft, which exceeds the stages that correspond to both the estimated 0.2-percent annual-exceedance-probability flood (500-year recurrence interval flood) and the maximum recorded peak flow. The simulated water-surface profiles were then combined with a geographic information system (GIS) digital elevation model, which was derived from Light Detection and Ranging (LiDAR) data with a 1.2-ft (0.61-ft root mean squared error) vertical accuracy and 3.3-ft (1-meter) horizontal resolution, to delineate the area flooded at each water level. A map that was produced using this method to delineate the inundated area for the flood that occurred on August 28, 2011, agreed well with highwater marks that had been located in the field using a global positioning system. The availability of the 10 flood-inundation maps on the USGS Flood Inundation Mapping Science Web site, along with Internet information regarding current stage from the USGS streamgage, will provide emergency management personnel and residents with information that is critical for flood-response activities, such as evacuations and road closures, as well as for post-flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3216","usgsCitation":"Coon, W.F., and Breaker, B.K., 2012, Flood-inundation maps for the West Branch Delaware River, Delhi, New York, 2012: U.S. Geological Survey Scientific Investigations Map 3216, Pamphlet: vi, 9 p.; 10 Sheets; Sheet 1: 17 inches x 22 inches, Sheet 2: 17 inches x 22 inches, Sheet 3: 17 inches x 22 inches, Sheet 4: 17 inches x 22 inches, Sheet 5: 17 inches x 22 inches, Sheet 6: 17 inches x 22 inches, Sheet 7: 17 inches x 22 inches, Sheet 8: 17 inches x 22 inches, Sheet 9: 17 inches x 22 inches, Sheet 10: 17 inches x 22 inches; Downloads Directory, https://doi.org/10.3133/sim3216.","productDescription":"Pamphlet: vi, 9 p.; 10 Sheets; Sheet 1: 17 inches x 22 inches, Sheet 2: 17 inches x 22 inches, Sheet 3: 17 inches x 22 inches, Sheet 4: 17 inches x 22 inches, Sheet 5: 17 inches x 22 inches, Sheet 6: 17 inches x 22 inches, Sheet 7: 17 inches x 22 inches, Sheet 8: 17 inches x 22 inches, Sheet 9: 17 inches x 22 inches, Sheet 10: 17 inches x 22 inches; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":259150,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3216.png"},{"id":259153,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-pamphlet.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259140,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet01.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259142,"rank":401,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet03.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259143,"rank":402,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet04.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259144,"rank":403,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet05.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259145,"rank":404,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet06.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259149,"rank":405,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet10.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259138,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3216/","linkFileType":{"id":5,"text":"html"}},{"id":259139,"rank":9999,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3216/downloads/","linkFileType":{"id":5,"text":"html"}},{"id":259141,"rank":401,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet02.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259146,"rank":406,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet07.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259147,"rank":407,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet08.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259148,"rank":408,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3216/pdf/sim3216-sheet09.pdf","linkFileType":{"id":1,"text":"pdf"}}],"datum":"North American Datum of 1983","country":"United States","state":"New York","county":"Delaware;Schoharie","city":"Delhi","otherGeospatial":"Catskill Mountain;Elk Creek;Falls Creek;Steele Brook","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.930086,42.258028 ], [ -74.930086,42.303232 ], [ -74.872077,42.303232 ], [ -74.872077,42.258028 ], [ -74.930086,42.258028 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1169e4b0c8380cd53fb4","contributors":{"authors":[{"text":"Coon, William F. 0000-0002-7007-7797 wcoon@usgs.gov","orcid":"https://orcid.org/0000-0002-7007-7797","contributorId":1765,"corporation":false,"usgs":true,"family":"Coon","given":"William","email":"wcoon@usgs.gov","middleInitial":"F.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breaker, Brian K. 0000-0002-1985-4992 bbreaker@usgs.gov","orcid":"https://orcid.org/0000-0002-1985-4992","contributorId":4331,"corporation":false,"usgs":true,"family":"Breaker","given":"Brian","email":"bbreaker@usgs.gov","middleInitial":"K.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":465766,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039209,"text":"fs20123069 - 2012 - Assessment of undiscovered, conventional oil and gas resources of Mexico, Guatemala, and Belize, 2012","interactions":[],"lastModifiedDate":"2012-07-26T17:16:17","indexId":"fs20123069","displayToPublicDate":"2012-07-25T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3069","subseriesTitle":"World Petroleum Resources Project","title":"Assessment of undiscovered, conventional oil and gas resources of Mexico, Guatemala, and Belize, 2012","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated means of 19 billion barrels of oil and 83 trillion cubic feet of undiscovered natural gas resources in 10 geologic provinces of Mexico, Guatemala, and Belize.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123069","collaboration":"World Petroleum Resources Project","usgsCitation":"Schenk, C.J., Brownfield, M.E., Charpentier, R., Cook, T.A., Klett, T., Pitman, J.K., Pollastro, R.M., and Weaver, J.N., 2012, Assessment of undiscovered, conventional oil and gas resources of Mexico, Guatemala, and Belize, 2012: U.S. Geological Survey Fact Sheet 2012-3069, 4 p., https://doi.org/10.3133/fs20123069.","productDescription":"4 p.","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":259155,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3069.JPG"},{"id":259161,"rank":100,"type":{"id":15,"text":"Index 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schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":465781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":465783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Charpentier, Ronald R. charpentier@usgs.gov","contributorId":934,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","email":"charpentier@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":465782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, Troy A.","contributorId":52519,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":465785,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Klett, Timothy R. 0000-0001-9779-1168 tklett@usgs.gov","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":709,"corporation":false,"usgs":true,"family":"Klett","given":"Timothy R.","email":"tklett@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science 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N.","contributorId":65099,"corporation":false,"usgs":true,"family":"Weaver","given":"Jean","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":465786,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70039199,"text":"fs20123103 - 2012 - Integrated monitoring of ecological conditions in wetland-upland landscapes","interactions":[],"lastModifiedDate":"2012-07-26T01:02:11","indexId":"fs20123103","displayToPublicDate":"2012-07-25T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3103","title":"Integrated monitoring of ecological conditions in wetland-upland landscapes","docAbstract":"Landscapes of interwoven wetlands and uplands offer a rich set of ecosystem goods and services. Managing lands to maximize ecosystem services requires information that distinguishes change caused by local actions from broader-scale shifts in climate, land use, and other forms of global change. Satellite and airborne sensors collect valuable data for this purpose, especially when the data are analyzed along with data collected from ground-based sensors. The U.S. Geological Survey (USGS) is using remote sensing technology in this way as part of the Terrestrial Wetland Global Change Research Network to assess effects of climate change interacting with land-use change and other potential stressors along environmental gradients of wetland-upland landscapes in the United States and Canada.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123103","usgsCitation":"Gallant, A., and Sadinski, W., 2012, Integrated monitoring of ecological conditions in wetland-upland landscapes: U.S. Geological Survey Fact Sheet 2012-3103, 2 p., https://doi.org/10.3133/fs20123103.","productDescription":"2 p.","onlineOnly":"Y","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":259154,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3103.JPG"},{"id":259151,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2012/3103/fs12-3103.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259152,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3103/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3c68e4b0c8380cd62cf1","contributors":{"authors":[{"text":"Gallant, Alisa 0000-0002-3029-6637","orcid":"https://orcid.org/0000-0002-3029-6637","contributorId":85280,"corporation":false,"usgs":true,"family":"Gallant","given":"Alisa","affiliations":[],"preferred":false,"id":465768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sadinski, Walt","contributorId":33969,"corporation":false,"usgs":true,"family":"Sadinski","given":"Walt","affiliations":[],"preferred":false,"id":465767,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70154829,"text":"70154829 - 2012 - Assessment and harvest of largemouth bass-bluegill ponds: Chapter 7","interactions":[],"lastModifiedDate":"2017-05-08T13:15:36","indexId":"70154829","displayToPublicDate":"2012-07-24T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Assessment and harvest of largemouth bass-bluegill ponds: Chapter 7","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Small impoundment management in North America","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","isbn":"978-1-934874-34-9","usgsCitation":"Schramm, H., and Willis, D.W., 2012, Assessment and harvest of largemouth bass-bluegill ponds: Chapter 7, chap. <i>of</i> Small impoundment management in North America.","ipdsId":"IP-027725","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":340942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340941,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://fisheries.org/bookstore/all-titles/professional-and-trade/55069c/"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591183b8e4b0e541a03c1a7c","contributors":{"authors":[{"text":"Schramm, Harold Jr. hschramm@usgs.gov","contributorId":145495,"corporation":false,"usgs":true,"family":"Schramm","given":"Harold","suffix":"Jr.","email":"hschramm@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":564243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Willis, David W.","contributorId":55313,"corporation":false,"usgs":true,"family":"Willis","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":694500,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039185,"text":"sir20125130 - 2012 - Development of regional skews for selected flood durations for the Central Valley Region, California, based on data through water year 2008","interactions":[],"lastModifiedDate":"2012-07-25T01:02:05","indexId":"sir20125130","displayToPublicDate":"2012-07-24T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5130","title":"Development of regional skews for selected flood durations for the Central Valley Region, California, based on data through water year 2008","docAbstract":"Flood-frequency information is important in the Central Valley region of California because of the high risk of catastrophic flooding. Most traditional flood-frequency studies focus on peak flows, but for the assessment of the adequacy of reservoirs, levees, other flood control structures, sustained flood flow (flood duration) frequency data are needed. This study focuses on rainfall or rain-on-snow floods, rather than the annual maximum, because rain events produce the largest floods in the region. A key to estimating flood-duration frequency is determining the regional skew for such data. Of the 50 sites used in this study to determine regional skew, 28 sites were considered to have little to no significant regulated flows, and for the 22 sites considered significantly regulated, unregulated daily flow data were synthesized by using reservoir storage changes and diversion records. The unregulated, annual maximum rainfall flood flows for selected durations (1-day, 3-day, 7-day, 15-day, and 30-day) for all 50 sites were furnished by the U.S. Army Corps of Engineers. Station skew was determined by using the expected moments algorithm program for fitting the Pearson Type 3 flood-frequency distribution to the logarithms of annual flood-duration data.\r\nBayesian generalized least squares regression procedures used in earlier studies were modified to address problems caused by large cross correlations among concurrent rainfall floods in California and to address the extensive censoring of low outliers at some sites, by using the new expected moments algorithm for fitting the LP3 distribution to rainfall flood-duration data. To properly account for these problems and to develop suitable regional-skew regression models and regression diagnostics, a combination of ordinary least squares, weighted least squares, and Bayesian generalized least squares regressions were adopted. This new methodology determined that a nonlinear model relating regional skew to mean basin elevation was the best model for each flood duration. The regional-skew values ranged from -0.74 for a flood duration of 1-day and a mean basin elevation less than 2,500 feet to values near 0 for a flood duration of 7-days and a mean basin elevation greater than 4,500 feet. This relation between skew and elevation reflects the interaction of snow and rain, which increases with increased elevation. The regional skews are more accurate, and the mean squared errors are less than in the Interagency Advisory Committee on Water Data's National skew map of Bulletin 17B.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125130","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Lamontagne, J.R., Stedinger, J.R., Berenbrock, C., Veilleux, A.G., Ferris, J.C., and Knifong, D.L., 2012, Development of regional skews for selected flood durations for the Central Valley Region, California, based on data through water year 2008: U.S. Geological Survey Scientific Investigations Report 2012-5130, viii, 35 p. Appendices, https://doi.org/10.3133/sir20125130.","productDescription":"viii, 35 p. Appendices","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":259128,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5130.gif"},{"id":259123,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5130/","linkFileType":{"id":5,"text":"html"}},{"id":259124,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5130/pdf/sir20125130.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","otherGeospatial":"Central Valley;Sierra Nevada Basins;North Coast Ranges Basins;South Coast Ranges Basins","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.54,34.28 ], [ -124.54,42.01 ], [ -116.33,42.01 ], [ -116.33,34.28 ], [ -124.54,34.28 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0061e4b0c8380cd4f725","contributors":{"authors":[{"text":"Lamontagne, Jonathan R. 0000-0003-3976-1678","orcid":"https://orcid.org/0000-0003-3976-1678","contributorId":31640,"corporation":false,"usgs":true,"family":"Lamontagne","given":"Jonathan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":465752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stedinger, Jery R.","contributorId":76198,"corporation":false,"usgs":true,"family":"Stedinger","given":"Jery","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":465753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berenbrock, Charles","contributorId":30598,"corporation":false,"usgs":true,"family":"Berenbrock","given":"Charles","email":"","affiliations":[],"preferred":false,"id":465751,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Veilleux, Andrea G. aveilleux@usgs.gov","contributorId":4404,"corporation":false,"usgs":true,"family":"Veilleux","given":"Andrea","email":"aveilleux@usgs.gov","middleInitial":"G.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":465750,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ferris, Justin C. jcferris@usgs.gov","contributorId":4186,"corporation":false,"usgs":true,"family":"Ferris","given":"Justin","email":"jcferris@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":465749,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knifong, Donna L. dknifong@usgs.gov","contributorId":1517,"corporation":false,"usgs":true,"family":"Knifong","given":"Donna","email":"dknifong@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":465748,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70039173,"text":"70039173 - 2012 - Coal-tar-based pavement sealcoat and PAHs: implications for the environment, human health, and stormwater management","interactions":[],"lastModifiedDate":"2020-12-29T20:05:57.911854","indexId":"70039173","displayToPublicDate":"2012-07-24T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Coal-tar-based pavement sealcoat and PAHs: implications for the environment, human health, and stormwater management","docAbstract":"<p><span>Coal-tar-based sealcoat products, widely used in the central and eastern U.S. on parking lots, driveways, and even playgrounds, are typically 20−35% coal-tar pitch, a known human carcinogen that contains about 200 polycyclic aromatic hydrocarbon (PAH) compounds. Research continues to identify environmental compartments—including stormwater runoff, lake sediment, soil, house dust, and most recently, air—contaminated by PAHs from coal-tar-based sealcoat and to demonstrate potential risks to biological communities and human health. In many cases, the levels of contamination associated with sealed pavement are striking relative to levels near unsealed pavement: PAH concentrations in air over pavement with freshly applied coal-tar-based sealcoat, for example, were hundreds to thousands of times higher than those in air over unsealed pavement. Even a small amount of sealcoated pavement can be the dominant source of PAHs to sediment in stormwater-retention ponds; proper disposal of such PAH-contaminated sediment can be extremely costly. Several local governments, the District of Columbia, and the State of Washington have banned use of these products, and several national and regional hardware and home-improvement retailers have voluntarily ceased selling them.</span></p>","language":"English","publisher":"American  Chemical Society","doi":"10.1021/es203699x","usgsCitation":"Mahler, B., Van Metre, P., Crane, J.L., Watts, A.W., Scoggins, M., and Williams, E.S., 2012, Coal-tar-based pavement sealcoat and PAHs: implications for the environment, human health, and stormwater management: Environmental Science & Technology, v. 46, no. 6, p. 3039-3045, https://doi.org/10.1021/es203699x.","productDescription":"7 p.","startPage":"3039","endPage":"3045","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":474407,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3308201","text":"Publisher Index Page"},{"id":381741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-02-13","publicationStatus":"PW","scienceBaseUri":"5059f76be4b0c8380cd4cae8","contributors":{"authors":[{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":465728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Metre, Peter C.","contributorId":34104,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","affiliations":[],"preferred":false,"id":465731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crane, Judy L.","contributorId":73048,"corporation":false,"usgs":true,"family":"Crane","given":"Judy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":465733,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watts, Alison W.","contributorId":17084,"corporation":false,"usgs":true,"family":"Watts","given":"Alison","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":465729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scoggins, Mateo","contributorId":29908,"corporation":false,"usgs":true,"family":"Scoggins","given":"Mateo","email":"","affiliations":[],"preferred":false,"id":465730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Williams, E. Spencer","contributorId":53640,"corporation":false,"usgs":true,"family":"Williams","given":"E.","email":"","middleInitial":"Spencer","affiliations":[],"preferred":false,"id":465732,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70039179,"text":"cir1377 - 2012 - Materials flow of indium in the United States in 2008 and 2009","interactions":[],"lastModifiedDate":"2012-07-24T01:01:47","indexId":"cir1377","displayToPublicDate":"2012-07-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1377","title":"Materials flow of indium in the United States in 2008 and 2009","docAbstract":"Indium is a material that has many applications. It is used by anyone who watches television or views a computer screen. It is found in solar energy arrays and in soldering applications that are required to be lead free. In 2009, about 550 metric tons (t) of indium metal was produced from primary sources world-wide; it was estimated that the United States consumed about 110 t of indium metal (20 percent of world primary production). However, when imports of consumer products that contain indium are considered, the United States consumed about 200 t of indium (36 percent of world primary production). When one considers the recovery from the low-efficiency sputtering process that coats indium-tin oxide onto glass and other surfaces, the recycling rate (within the manufacturing process that uses indium-tin oxide in flat panel displays approaches 36 percent. However, indium recovery from old scrap generated from end-of-life consumer products is not sufficiently economic to add significantly to secondary production.  Between 1988 and 2010, indium prices averaged $381 per kilogram (in constant 2000 dollars). However, prices have been quite volatile (deviating from the average of $381 per kilogram by &plusmn;$199 per kilogram, a 52 percent difference from the average), reflecting short-term disequilibrium of supply and demand but also responsiveness of supply to demand. The dynamics of zinc smelting govern the primary supply of indium because indium is a byproduct of zinc smelting. Secondary indium supply, which accounts for about one-half of total indium supply, is governed by indium prices and technological advances in recovery. Indium demand is expected to grow because the number and volume of cutting edge technology applications that depend on indium are expected to grow.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1377","usgsCitation":"Goonan, T.G., 2012, Materials flow of indium in the United States in 2008 and 2009: U.S. Geological Survey Circular 1377, iv, 12 p.; Appendix; ill. (col.), https://doi.org/10.3133/cir1377.","productDescription":"iv, 12 p.; Appendix; ill. (col.)","startPage":"i","endPage":"12","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2008-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":259112,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1377.gif"},{"id":259110,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1377/","linkFileType":{"id":5,"text":"html"}},{"id":259111,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1377/pdf/Circ1377_508.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a527be4b0c8380cd6c44e","contributors":{"authors":[{"text":"Goonan, Thomas G. goonan@usgs.gov","contributorId":2761,"corporation":false,"usgs":true,"family":"Goonan","given":"Thomas","email":"goonan@usgs.gov","middleInitial":"G.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":465740,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70039170,"text":"ofr20121148 - 2012 - Probability and volume of potential postwildfire debris flows in the 2012 High Park Burn Area near Fort Collins, Colorado","interactions":[],"lastModifiedDate":"2012-07-24T01:01:47","indexId":"ofr20121148","displayToPublicDate":"2012-07-23T00:00:00","publicationYear":"2012","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":"2012-1148","title":"Probability and volume of potential postwildfire debris flows in the 2012 High Park Burn Area near Fort Collins, Colorado","docAbstract":"This report presents a preliminary emergency assessment of the debris-flow hazards from drainage basins burned by the 2012 High Park fire near Fort Collins in Larimer County, Colorado. Empirical models derived from statistical evaluation of data collected from recently burned basins throughout the intermountain western United States were used to estimate the probability of debris-flow occurrence and volume of debris flows along the burned area drainage network and to estimate the same for 44 selected drainage basins along State Highway 14 and the perimeter of the burned area. Input data for the models included topographic parameters, soil characteristics, burn severity, and rainfall totals and intensities for a (1) 2-year-recurrence, 1-hour-duration rainfall (25 millimeters); (2) 10-year-recurrence, 1-hour-duration rainfall (43 millimeters); and (3) 25-year-recurrence, 1-hour-duration rainfall (51 millimeters). Estimated debris-flow probabilities along the drainage network and throughout the drainage basins of interest ranged from 1 to 84 percent in response to the 2-year-recurrence, 1-hour-duration rainfall; from 2 to 95 percent in response to the 10-year-recurrence, 1-hour-duration rainfall; and from 3 to 97 in response to the 25-year-recurrence, 1-hour-duration rainfall. Basins and drainage networks with the highest probabilities tended to be those on the eastern edge of the burn area where soils have relatively high clay contents and gradients are steep. Estimated debris-flow volumes range from a low of 1,600 cubic meters to a high of greater than 100,000 cubic meters. Estimated debris-flow volumes increase with basin size and distance along the drainage network, but some smaller drainages were also predicted to produce substantial volumes of material. The predicted probabilities and some of the volumes predicted for the modeled storms indicate a potential for substantial debris-flow impacts on structures, roads, bridges, and culverts located both within and immediately downstream from the burned area. Colorado State Highway 14 is also susceptible to impacts from debris flows.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121148","collaboration":"Prepared in cooperation with Colorado Department of Transportation","usgsCitation":"Verdin, K.L., Dupree, J.A., and Elliott, J.G., 2012, Probability and volume of potential postwildfire debris flows in the 2012 High Park Burn Area near Fort Collins, Colorado: U.S. Geological Survey Open-File Report 2012-1148, vi, 9 p.; 2 Plates: 87 x 56 cm., https://doi.org/10.3133/ofr20121148.","productDescription":"vi, 9 p.; 2 Plates: 87 x 56 cm.","numberOfPages":"15","onlineOnly":"Y","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":259113,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1148.gif"},{"id":259106,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2012/1148/Plate1.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259104,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1148/","linkFileType":{"id":5,"text":"html"}},{"id":259105,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1148/OF12-1148.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259107,"rank":401,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2012/1148/Plate2.pdf","linkFileType":{"id":1,"text":"pdf"}}],"projection":"Universal Transverse Mercator, Zone 13 North","datum":"North American Datum 1983","country":"United States","state":"Colorado","county":"Larimer","city":"Fort Collins","otherGeospatial":"High Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.53333333333333,40.55 ], [ -105.53333333333333,40.75 ], [ -105.18333333333334,40.75 ], [ -105.18333333333334,40.55 ], [ -105.53333333333333,40.55 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8ca8e4b0c8380cd7e7f3","contributors":{"authors":[{"text":"Verdin, Kristine L. 0000-0002-6114-4660 kverdin@usgs.gov","orcid":"https://orcid.org/0000-0002-6114-4660","contributorId":3070,"corporation":false,"usgs":true,"family":"Verdin","given":"Kristine","email":"kverdin@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":465721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dupree, Jean A. dupree@usgs.gov","contributorId":2563,"corporation":false,"usgs":true,"family":"Dupree","given":"Jean","email":"dupree@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":465720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elliott, John G. jelliott@usgs.gov","contributorId":832,"corporation":false,"usgs":true,"family":"Elliott","given":"John","email":"jelliott@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":465719,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039168,"text":"fs20123101 - 2012 - Hydrologic conditions in Georgia, 2010","interactions":[],"lastModifiedDate":"2016-12-07T11:29:15","indexId":"fs20123101","displayToPublicDate":"2012-07-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3101","title":"Hydrologic conditions in Georgia, 2010","docAbstract":"The United States Geological Survey (USGS) Georgia Water Science Center (GaWSC) maintains a long-term hydrologic monitoring network of more than 320 real-time streamgages, including 10 real-time lake-level monitoring stations and 63 real-time water-quality monitors. Additionally, the GaWSC operates more than 180 groundwater wells, 41 of which are real-time. One of the many benefits from this monitoring network is that the data analysis provides an overview of the hydrologic conditions of rivers, creeks, reservoirs, and aquifers in Georgia.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123101","usgsCitation":"Knaak, A.E., Ankcorn, P.D., and Peck, M., 2012, Hydrologic conditions in Georgia, 2010: U.S. Geological Survey Fact Sheet 2012-3101, 6 p., https://doi.org/10.3133/fs20123101.","productDescription":"6 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science 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mfpeck@usgs.gov","contributorId":1467,"corporation":false,"usgs":true,"family":"Peck","given":"Michael F.","email":"mfpeck@usgs.gov","affiliations":[],"preferred":false,"id":465716,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039166,"text":"sir20125113 - 2012 - Methods for determining magnitude and frequency of floods in California, based on data through water year 2006","interactions":[],"lastModifiedDate":"2012-07-24T01:01:47","indexId":"sir20125113","displayToPublicDate":"2012-07-23T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5113","title":"Methods for determining magnitude and frequency of floods in California, based on data through water year 2006","docAbstract":"Methods for estimating the magnitude and frequency of floods in California that are not substantially affected by regulation or diversions have been updated. Annual peak-flow data through water year 2006 were analyzed for 771 streamflow-gaging stations (streamgages) in California having 10 or more years of data. Flood-frequency estimates were computed for the streamgages by using the expected moments algorithm to fit a Pearson Type III distribution to logarithms of annual peak flows for each streamgage. Low-outlier and historic information were incorporated into the flood-frequency analysis, and a generalized Grubbs-Beck test was used to detect multiple potentially influential low outliers. Special methods for fitting the distribution were developed for streamgages in the desert region in southeastern California. Additionally, basin characteristics for the streamgages were computed by using a geographical information system.\r\nRegional regression analysis, using generalized least squares regression, was used to develop a set of equations for estimating flows with 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities for ungaged basins in California that are outside of the southeastern desert region. Flood-frequency estimates and basin characteristics for 630 streamgages were combined to form the final database used in the regional regression analysis. Five hydrologic regions were developed for the area of California outside of the desert region. The final regional regression equations are functions of drainage area and mean annual precipitation for four of the five regions. In one region, the Sierra Nevada region, the final equations are functions of drainage area, mean basin elevation, and mean annual precipitation. Average standard errors of prediction for the regression equations in all five regions range from 42.7 to 161.9 percent.\r\nFor the desert region of California, an analysis of 33 streamgages was used to develop regional estimates of all three parameters (mean, standard deviation, and skew) of the log-Pearson Type III distribution. The regional estimates were then used to develop a set of equations for estimating flows with 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities for ungaged basins. The final regional regression equations are functions of drainage area. Average standard errors of prediction for these regression equations range from 214.2 to 856.2 percent.\r\nAnnual peak-flow data through water year 2006 were analyzed for eight streamgages in California having 10 or more years of data considered to be affected by urbanization. Flood-frequency estimates were computed for the urban streamgages by fitting a Pearson Type III distribution to logarithms of annual peak flows for each streamgage. Regression analysis could not be used to develop flood-frequency estimation equations for urban streams because of the limited number of sites. Flood-frequency estimates for the eight urban sites were graphically compared to flood-frequency estimates for 630 non-urban sites.\r\nThe regression equations developed from this study will be incorporated into the U.S. Geological Survey (USGS) StreamStats program. The StreamStats program is a Web-based application that provides streamflow statistics and basin characteristics for USGS streamgages and ungaged sites of interest. StreamStats can also compute basin characteristics and provide estimates of streamflow statistics for ungaged sites when users select the location of a site along any stream in California.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125113","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Gotvald, A.J., Barth, N.A., Veilleux, A.G., and Parrett, C., 2012, Methods for determining magnitude and frequency of floods in California, based on data through water year 2006: U.S. Geological Survey Scientific Investigations Report 2012-5113, vi, 30 p.; Appendix, https://doi.org/10.3133/sir20125113.","productDescription":"vi, 30 p.; Appendix","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":259103,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5113.jpg"},{"id":259098,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5113/","linkFileType":{"id":5,"text":"html"}},{"id":259099,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5113/pdf/sir2012-5113.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a55aee4b0c8380cd6d269","contributors":{"authors":[{"text":"Gotvald, Anthony J. 0000-0002-9019-750X agotvald@usgs.gov","orcid":"https://orcid.org/0000-0002-9019-750X","contributorId":1970,"corporation":false,"usgs":true,"family":"Gotvald","given":"Anthony","email":"agotvald@usgs.gov","middleInitial":"J.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barth, Nancy A. nabarth@usgs.gov","contributorId":3276,"corporation":false,"usgs":true,"family":"Barth","given":"Nancy","email":"nabarth@usgs.gov","middleInitial":"A.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":465708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Veilleux, Andrea G. aveilleux@usgs.gov","contributorId":4404,"corporation":false,"usgs":true,"family":"Veilleux","given":"Andrea","email":"aveilleux@usgs.gov","middleInitial":"G.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":465709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parrett, Charles","contributorId":9635,"corporation":false,"usgs":true,"family":"Parrett","given":"Charles","email":"","affiliations":[],"preferred":false,"id":465710,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70039163,"text":"ofr20121131 - 2012 - The fluorescent tracer experiment on Holiday Beach near Mugu Canyon, Southern California","interactions":[],"lastModifiedDate":"2012-07-25T01:02:05","indexId":"ofr20121131","displayToPublicDate":"2012-07-23T00:00:00","publicationYear":"2012","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":"2012-1131","title":"The fluorescent tracer experiment on Holiday Beach near Mugu Canyon, Southern California","docAbstract":"After revisiting sand tracer techniques originally developed in the 1960s, a range of fluorescent coating formulations were tested in the laboratory. Explicit steps are presented for the preparation of the formulation evaluated to have superior attributes, a thermoplastic pigment/dye in a colloidal mixture with a vinyl chloride/vinyl acetate copolymer. In September 2010, 0.59 cubic meters of fluorescent tracer material was injected into the littoral zone about 4 kilometers upcoast of Mugu submarine canyon in California. The movement of tracer was monitored in three dimensions over the course of 4 days using manual and automated techniques. Detailed observations of the tracer's behavior in the coastal zone indicate that this tracer successfully mimicked the native beach sand and similar methods could be used to validate models of tracer movement in this type of environment. Recommendations including how to time successful tracer studies and how to scale the field of view of automated camera systems are presented along with the advantages and disadvantages of the described tracer methodology.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121131","usgsCitation":"Kinsman, N., and Xu, J.P., 2012, The fluorescent tracer experiment on Holiday Beach near Mugu Canyon, Southern California: U.S. Geological Survey Open-File Report 2012-1131, v, 23 p., https://doi.org/10.3133/ofr20121131.","productDescription":"v, 23 p.","onlineOnly":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":259093,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1131/of2012-1131.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259094,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1131/","linkFileType":{"id":5,"text":"html"}},{"id":259096,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1131.gif"}],"country":"United States","state":"California","otherGeospatial":"Santa Barbara Channel;Mugu Lagoon","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bac1de4b08c986b32329f","contributors":{"authors":[{"text":"Kinsman, Nicole","contributorId":95737,"corporation":false,"usgs":true,"family":"Kinsman","given":"Nicole","affiliations":[],"preferred":false,"id":465700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xu, J. P.","contributorId":74528,"corporation":false,"usgs":true,"family":"Xu","given":"J.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":465699,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039132,"text":"ofr20121138 - 2012 - Map showing extent of glaciation in the Eagle quadrangle, east-central Alaska","interactions":[],"lastModifiedDate":"2017-06-07T16:21:05","indexId":"ofr20121138","displayToPublicDate":"2012-07-20T00:00:00","publicationYear":"2012","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":"2012-1138","title":"Map showing extent of glaciation in the Eagle quadrangle, east-central Alaska","docAbstract":"This map covers the Eagle 1:250,000-scale quadrangle in the northeastern part of the Yukon-Tanana Upland in Alaska. It shows the extent of five major glacial advances, former glacial lakes, and present fragmented terrace deposits related to the advances. The Yukon-Tanana Upland is an area of about 116,550 km<super>2</super> between the Yukon and Tanana Rivers in east-central Alaska that extends into the western part of the Yukon Territory of Canada. Traditionally, the Yukon-Tanana Upland was thought to be a part of unglaciated central Alaska, however, a rather long history of localized alpine glaciation during Pleistocene and possibly Tertiary time can be shown. Deposits of five of the glacial episodes can be found in the Eagle quadrangle. This report is an outcome of studies conducted in conjunction with bedrock mapping intended for mineral resource assessment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121138","usgsCitation":"Weber, F.R., and Wilson, F.H., 2012, Map showing extent of glaciation in the Eagle quadrangle, east-central Alaska: U.S. Geological Survey Open-File Report 2012-1138, Sheet: 46 inches x 26 inches, https://doi.org/10.3133/ofr20121138.","productDescription":"Sheet: 46 inches x 26 inches","onlineOnly":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":259058,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1138.jpg"},{"id":259036,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1138/","linkFileType":{"id":5,"text":"html"}},{"id":259037,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1138/of2012-1138.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"250000","projection":"Universal Transverse Mercator projection; Zone 7N","datum":"North American Datum of 1927","country":"United States","state":"Alaska","otherGeospatial":"Yukon Charley Rivers National Preserve","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -144,64 ], [ -144,65 ], [ -141,65 ], [ -141,64 ], [ -144,64 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4e7be4b0c8380cd6aa4c","contributors":{"authors":[{"text":"Weber, Florence R.","contributorId":17621,"corporation":false,"usgs":true,"family":"Weber","given":"Florence","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":465664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Frederic H. 0000-0003-1761-6437 fwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1761-6437","contributorId":67174,"corporation":false,"usgs":true,"family":"Wilson","given":"Frederic","email":"fwilson@usgs.gov","middleInitial":"H.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":465663,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70039129,"text":"70039129 - 2012 - Nesting ecology of a population of Gopherus agassizii at a utility-scale wind energy facility in southern California","interactions":[],"lastModifiedDate":"2012-07-21T01:01:57","indexId":"70039129","displayToPublicDate":"2012-07-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"Nesting ecology of a population of Gopherus agassizii at a utility-scale wind energy facility in southern California","docAbstract":"We investigated the annual nesting ecology of a population of Desert Tortoises (Gopherus agassizii) inhabiting a utility-scale renewable energy (USRE) facility in southern California and compared our results with populations inhabiting relatively undisturbed sites. In 2000, 15 radio-tracked females produced 29 clutches, and 24 nests were monitored to examine nest-site selection, nest predation, hatching success, date of emergence of hatchlings, and hatchling mass and carapace length. Overall, the nesting ecology of the population inhabiting the USRE facility was very similar to other populations of Desert Tortoises inhabiting relatively undisturbed habitats. Oviposition occurred from 12 May to 8 July, which was similar to other sites. Nest depths (11.1 cm), nest predation (12%), hatchling emergence date (7 August and 29 September), and hatchling morphometrics (i.e., MCL: 44.5 mm; mass: 23 g) were all within ranges reported in other populations. Unlike within other populations, we observed no relationship between hatchling size and either maternal body size or egg width. We found no evidence of females selecting for a particular burrow for oviposition of eggs based on environmental or anthropogenic variables. Most nests were located in or near burrows, and nest depth was greater for nests near the entrance than those deeper in the burrow. Although this study suggests that the nesting ecology of the Desert Tortoise population we studied was not adversely affected by the USRE facility, this relationship is only correlative because our study was not a before-after-control-impact (BACI) study, which would establish a cause and effect relationship. As pointed out in a recent review, BACI studies are critically needed to address the wildlife impacts of utility-scale renewable energy development.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Copeia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The American Society of Ichthyologists and Herpetologists","publisherLocation":"Lawrence, KS","doi":"10.1643/CE-11-102","usgsCitation":"Ennen, J., Lovich, J.E., Meyer, K.P., Bjurlin, C., and Arundel, T., 2012, Nesting ecology of a population of Gopherus agassizii at a utility-scale wind energy facility in southern California: Copeia, v. 2012, no. 2, p. 222-228, https://doi.org/10.1643/CE-11-102.","productDescription":"7 p.","startPage":"222","endPage":"228","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":259080,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259079,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1643/CE-11-102","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","volume":"2012","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a64bfe4b0c8380cd72a51","contributors":{"authors":[{"text":"Ennen, Joshua R.","contributorId":60368,"corporation":false,"usgs":false,"family":"Ennen","given":"Joshua R.","affiliations":[{"id":13216,"text":"Tennessee Aquarium Conservation Institute","active":true,"usgs":false}],"preferred":false,"id":465659,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":465657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Katherin P.","contributorId":97856,"corporation":false,"usgs":true,"family":"Meyer","given":"Katherin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":465661,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bjurlin, Curtis","contributorId":90183,"corporation":false,"usgs":false,"family":"Bjurlin","given":"Curtis","affiliations":[],"preferred":false,"id":465660,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Arundel, Terence R.","contributorId":11080,"corporation":false,"usgs":true,"family":"Arundel","given":"Terence R.","affiliations":[],"preferred":false,"id":465658,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70039123,"text":"70039123 - 2012 - Spatiotemporal patterns and habitat associations of smallmouth bass (Micropterus dolomieu) invading salmon-rearing habitat","interactions":[],"lastModifiedDate":"2017-11-24T17:09:20","indexId":"70039123","displayToPublicDate":"2012-07-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Spatiotemporal patterns and habitat associations of smallmouth bass (<i>Micropterus dolomieu</i>) invading salmon-rearing habitat","title":"Spatiotemporal patterns and habitat associations of smallmouth bass (Micropterus dolomieu) invading salmon-rearing habitat","docAbstract":"<p>1. Smallmouth bass (<i>Micropterus dolomieu</i>) have been widely introduced to fresh waters throughout the world to promote recreational fishing opportunities. In the Pacific Northwest (U.S.A.), upstream range expansions of predatory bass, especially into subyearling salmon-rearing grounds, are of increasing conservation concern, yet have received little scientific inquiry. Understanding the habitat characteristics that influence bass distribution and the timing and extent of bass and salmon overlap will facilitate the development of management strategies that mitigate potential ecological impacts of bass.</p><p>2. We employed a spatially continuous sampling design to determine the extent of bass and subyearling Chinook salmon (<i>Oncorhynchus tshawytscha</i>) sympatry in the North Fork John Day River (NFJDR), a free-flowing river system in the Columbia River Basin that contains an upstream expanding population of non-native bass. Extensive (i.e. 53&nbsp;km) surveys were conducted over 2&nbsp;years and during an early and late summer period of each year, because these seasons provide a strong contrast in the river’s water temperature and flow condition. Classification and regression trees were applied to determine the primary habitat correlates of bass abundance at reach and channel-unit scales.</p><p>3. Our study revealed that bass seasonally occupy up to 22% of the length of the mainstem NFJDR where subyearling Chinook salmon occur, and the primary period of sympatry between these species was in the early summer and not during peak water temperatures in late summer. Where these species co-occurred, bass occupied 60–76% of channel units used by subyearling Chinook salmon in the early summer and 28–46% of the channel units they occupied in the late summer. Because these rearing salmon were well below the gape limitation of bass, this overlap could result in either direct predation or sublethal effects of bass on subyearling Chinook salmon. The upstream extent of bass increased 10–23&nbsp;km (2009 and 2010, respectively) as stream temperatures seasonally warmed, but subyearling Chinook salmon were also found farther upstream during this time.</p><p>4. Our multiscale analysis suggests that bass were selecting habitat based on antecedent thermal history at a broad scale, and if satisfactory temperature conditions were met, mesoscale habitat features (i.e. channel-unit type and depth) played an additional role in determining bass abundance. The upstream extent of bass in the late summer corresponded to a high-gradient geomorphic discontinuity in the NFJDR, which probably hindered further upstream movements of bass. The habitat determinants and upstream extent of bass were largely consistent across years, despite marked differences in the magnitude and timing of spring peak flows prior to bass spawning.</p><p>5. The overriding influence of water temperature on smallmouth bass distribution suggests that managers may be able limit future upstream range expansions of bass into salmon-rearing habitat by concentrating on restoration activities that mitigate climate- or land-use-related stream warming. These management activities could be prioritised to capitalise on survival bottlenecks in the life history of bass and spatially focused on landscape knick points such as high-gradient discontinuities to discourage further upstream movements of bass.</p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2427.2012.02847.x","usgsCitation":"Lawrence, D.J., Olden, J., and Torgersen, C., 2012, Spatiotemporal patterns and habitat associations of smallmouth bass (Micropterus dolomieu) invading salmon-rearing habitat: Freshwater Biology, v. 57, no. 9, p. 1929-1946, https://doi.org/10.1111/j.1365-2427.2012.02847.x.","productDescription":"18 p.","startPage":"1929","endPage":"1946","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":259081,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Pacific Northwest","volume":"57","issue":"9","noUsgsAuthors":false,"publicationDate":"2012-07-17","publicationStatus":"PW","scienceBaseUri":"505b94cee4b08c986b31ac5f","contributors":{"authors":[{"text":"Lawrence, David J.","contributorId":34374,"corporation":false,"usgs":true,"family":"Lawrence","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":465645,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olden, Julian D.","contributorId":66951,"corporation":false,"usgs":true,"family":"Olden","given":"Julian D.","affiliations":[],"preferred":false,"id":465647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Torgersen, Christian E. 0000-0001-8325-2737","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":48143,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian E.","affiliations":[],"preferred":false,"id":465646,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039135,"text":"tm4F3 - 2012 - TracerLPM (Version 1): An Excel&reg; workbook for interpreting groundwater age distributions from environmental tracer data","interactions":[],"lastModifiedDate":"2023-08-17T19:04:09.341631","indexId":"tm4F3","displayToPublicDate":"2012-07-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"4-F3","title":"TracerLPM (Version 1): An Excel&reg; workbook for interpreting groundwater age distributions from environmental tracer data","docAbstract":"TracerLPM is an interactive Excel&reg; (2007 or later) workbook program for evaluating groundwater age distributions from environmental tracer data by using lumped parameter models (LPMs). Lumped parameter models are mathematical models of transport based on simplified aquifer geometry and flow configurations that account for effects of hydrodynamic dispersion or mixing within the aquifer, well bore, or discharge area. Five primary LPMs are included in the workbook: piston-flow model (PFM), exponential mixing model (EMM), exponential piston-flow model (EPM), partial exponential model (PEM), and dispersion model (DM). Binary mixing models (BMM) can be created by combining primary LPMs in various combinations. Travel time through the unsaturated zone can be included as an additional parameter. TracerLPM also allows users to enter age distributions determined from other methods, such as particle tracking results from numerical groundwater-flow models or from other LPMs not included in this program. Tracers of both young groundwater (anthropogenic atmospheric gases and isotopic substances indicating post-1940s recharge) and much older groundwater (carbon-14 and helium-4) can be interpreted simultaneously so that estimates of the groundwater age distribution for samples with a wide range of ages can be constrained. TracerLPM is organized to permit a comprehensive interpretive approach consisting of hydrogeologic conceptualization, visual examination of data and models, and best-fit parameter estimation. Groundwater age distributions can be evaluated by comparing measured and modeled tracer concentrations in two ways: (1) multiple tracers analyzed simultaneously can be evaluated against each other for concordance with modeled concentrations (tracer-tracer application) or (2) tracer time-series data can be evaluated for concordance with modeled trends (tracer-time application). Groundwater-age estimates can also be obtained for samples with a single tracer measurement at one point in time; however, prior knowledge of an appropriate LPM is required because the mean age is often non-unique. LPM output concentrations depend on model parameters and sample date. All of the LPMs have a parameter for mean age. The EPM, PEM, and DM have an additional parameter that characterizes the degree of age mixing in the sample. BMMs have a parameter for the fraction of the first component in the mixture. An LPM, together with its parameter values, provides a description of the age distribution or the fractional contribution of water for every age of recharge contained within a sample. For the PFM, the age distribution is a unit pulse at one distinct age. For the other LPMs, the age distribution can be much broader and span decades, centuries, millennia, or more. For a sample with a mixture of groundwater ages, the reported interpretation of tracer data includes the LPM name, the mean age, and the values of any other independent model parameters. TracerLPM also can be used for simulating the responses of wells, springs, streams, or other groundwater discharge receptors to nonpoint-source contaminants that are introduced in recharge, such as nitrate. This is done by combining an LPM or user-defined age distribution with information on contaminant loading at the water table. Information on historic contaminant loading can be used to help evaluate a model's ability to match real world conditions and understand observed contaminant trends, while information on future contaminant loading scenarios can be used to forecast potential contaminant trends.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm4F3","collaboration":"National Research Program; National Water-Quality Assessment Program","usgsCitation":"Jurgens, B., Böhlke, J., and Eberts, S., 2012, TracerLPM (Version 1): An Excel&reg; workbook for interpreting groundwater age distributions from environmental tracer data: U.S. Geological Survey Techniques and Methods 4-F3, viii, 60 p., https://doi.org/10.3133/tm4F3.","productDescription":"viii, 60 p.","onlineOnly":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":259039,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/4-f3/pdf/tm4-F3.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259056,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_4_f3.jpg"},{"id":259038,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/4-f3/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb68be4b08c986b326d21","contributors":{"authors":[{"text":"Jurgens, Bryant C. 0000-0002-1572-113X","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":22454,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant C.","affiliations":[],"preferred":false,"id":465667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Böhlke, J.K. 0000-0001-5693-6455","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":96696,"corporation":false,"usgs":true,"family":"Böhlke","given":"J.K.","affiliations":[],"preferred":false,"id":465668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eberts, Sandra M. smeberts@usgs.gov","contributorId":2264,"corporation":false,"usgs":true,"family":"Eberts","given":"Sandra M.","email":"smeberts@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":false,"id":465666,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039117,"text":"70039117 - 2012 - Hatching and fledging times from grassland passerine nests","interactions":[],"lastModifiedDate":"2018-03-30T12:27:32","indexId":"70039117","displayToPublicDate":"2012-07-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5103,"text":"Studies in Avian Biology","printIssn":"0197-9922","active":true,"publicationSubtype":{"id":24}},"seriesNumber":"43","chapter":"4","title":"Hatching and fledging times from grassland passerine nests","docAbstract":"<p><span data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Accurate estimates of fledging age are needed in field studies to avoid inducing premature fledging or missing the fledging event. Both may lead to misinterpretation of nest fate. Correctly assessing nest fate and length of the nestling period can be critical for accurate calculation of nest survival rates. For researchers who mark nestlings, knowing the age at which their activities may cause young to leave nests prematurely could prevent introducing bias to their studies. We obtained estimates of fledging age using data from grassland bird nests monitored from hatching through fledging with video-surveillance systems in North Dakota and Minnesota during 1996&amp;ndash;2001. We compared these values to those obtained from traditional nest visits and from available literature. Mean and modal fledging ages for video-monitored nests were generally similar to those for visited nests, although Clay-colored Sparrows (Spizella pallida) typically fledged 1 day earlier from visited nests. Average fledging ages from both video and nest visits occurred within ranges reported in the literature, but expanded by 1&amp;ndash;2 days the upper age limit for Clay-colored Sparrows and the lower age limit for Bobolinks (Dolichonyx oryzivorus). Video showed that eggs hatched throughout the day whereas most young fledged in the morning (06:30&amp;ndash;12:30 CDT). Length of the hatching period for a clutch was usually >1 day and was positively correlated with clutch size. Length of the fledging period for a brood was usually <1 day, and in nearly half the nests, fledging was completed within <2 hr. Video surveillance has proven to be a useful tool for providing new information and for corroborating published statements related to hatching and fledging chronology. Comparison of data collected from video and nest visits showed that carefully conducted nest visits generally can provide reliable data for deriving estimates of survival.&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:8403202,&quot;4&quot;:[null,2,16777215],&quot;11&quot;:4,&quot;14&quot;:[null,2,0],&quot;15&quot;:&quot;Inconsolata, monospace, arial, sans, sans-serif&quot;,&quot;16&quot;:11,&quot;26&quot;:400}\" data-sheets-formula=\"=VLOOKUP(R[0]C[-5],Fixed!R2C[-6]:C[-4],3,false)\">Accurate estimates of fledging age are needed in field studies to avoid inducing premature fledging or missing the fledging event. Both may lead to misinterpretation of nest fate. Correctly assessing nest fate and length of the nestling period can be critical for accurate calculation of nest survival rates. For researchers who mark nestlings, knowing the age at which their activities may cause young to leave nests prematurely could prevent introducing bias to their studies. We obtained estimates of fledging age using data from grassland bird nests monitored from hatching through fledging with video-surveillance systems in North Dakota and Minnesota during 1996&amp;ndash;2001. We compared these values to those obtained from traditional nest visits and from available literature. Mean and modal fledging ages for video-monitored nests were generally similar to those for visited nests, although Clay-colored Sparrows (Spizella pallida) typically fledged 1 day earlier from visited nests. Average fledging ages from both video and nest visits occurred within ranges reported in the literature, but expanded by 1&amp;ndash;2 days the upper age limit for Clay-colored Sparrows and the lower age limit for Bobolinks (Dolichonyx oryzivorus). Video showed that eggs hatched throughout the day whereas most young fledged in the morning (06:30&amp;ndash;12:30 CDT). Length of the hatching period for a clutch was usually &gt;1 day and was positively correlated with clutch size. Length of the fledging period for a brood was usually &lt;1 day, and in nearly half the nests, fledging was completed within &lt;2 hr. Video surveillance has proven to be a useful tool for providing new information and for corroborating published statements related to hatching and fledging chronology. Comparison of data collected from video and nest visits showed that carefully conducted nest visits generally can provide reliable data for deriving estimates of survival.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Video surveillance of nesting birds (Studies in Avian Biology no. 43)","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"University of California Press","publisherLocation":"Berkeley, CA","isbn":"9780520273139","usgsCitation":"Pietz, P., Granfors, D.A., and Grant, T.A., 2012, Hatching and fledging times from grassland passerine nests, chap. 4 <i>of</i> Video surveillance of nesting birds (Studies in Avian Biology no. 43): Studies in Avian Biology, v. 43, p. 47-60.","productDescription":"14 p.","startPage":"47","endPage":"60","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":259082,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259074,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://www.ucpress.edu/book.php?isbn=9780520273139","linkFileType":{"id":5,"text":"html"}}],"volume":"43","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2f86e4b0c8380cd5ce76","contributors":{"editors":[{"text":"Ribic, Christine A. caribic@usgs.gov","contributorId":831,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","middleInitial":"A.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":509024,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Thompson, Frank R. III","contributorId":12608,"corporation":false,"usgs":true,"family":"Thompson","given":"Frank","suffix":"III","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":509026,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Pietz, Pamela J. ppietz@usgs.gov","contributorId":2382,"corporation":false,"usgs":true,"family":"Pietz","given":"Pamela J.","email":"ppietz@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":509025,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Pietz, Pamela J. ppietz@usgs.gov","contributorId":2382,"corporation":false,"usgs":true,"family":"Pietz","given":"Pamela J.","email":"ppietz@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":465641,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granfors, Diane A.","contributorId":174567,"corporation":false,"usgs":false,"family":"Granfors","given":"Diane","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":465643,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grant, Todd A.","contributorId":194194,"corporation":false,"usgs":false,"family":"Grant","given":"Todd","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":465642,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70038837,"text":"70038837 - 2012 - An apparent \"vital effect\" of calcification rate on the Sr/Ca temperature proxy in the reef coral Montipora capitata","interactions":[],"lastModifiedDate":"2013-03-12T11:45:04","indexId":"70038837","displayToPublicDate":"2012-07-19T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"An apparent \"vital effect\" of calcification rate on the Sr/Ca temperature proxy in the reef coral Montipora capitata","docAbstract":"Measuring the strontium to calcium ratio in coral skeletons reveals information on seawater temperatures during skeletal deposition, but studies have shown additional variables may affect the ratio. Here we measured Sr/Ca in the reef coral, Montipora capitata, grown in six mesocosms continuously supplied with seawater from the adjacent reef flat. Three mesocosms were ambient controls, and three had seawater chemistry simulating \"ocean acidification\" (OA). We found that Sr/Ca was not affected by the OA treatment, and neither was coral calcification for these small colonies (larger colonies did show an OA effect). The lack of OA effects allowed us to test the hypothesis that coral growth rate can affect Sr/Ca using the natural range in calcification rates of the corals grown at the same temperature. We found that Sr/Ca was inversely related to calcification rate (Sr/Ca = 9.39 - 0.00404 mmol/mol * mg day-1 cm-2, R2 = 0.32). Using a previously published calibration curve for this species, a 22 mg day-1 colony-1 increase in calcification rate introduced a 1&deg;C warmer temperature estimate, with the 27 corals reporting \"temperatures\" ranging from 24.9 to 28.9, with mean 26.6 &plusmn; 0.9&deg;C SD. Our results lend support to hypotheses invoking kinetic processes and growth rate to explain vital effects on Sr/Ca. However, uncertainty in the slope of the regression of Sr/Ca on calcification and a low R-squared value lead us to conclude that Sr/Ca could still be a useful proxy in this species given sufficient replication or by including growth rate in the calibration.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochemistry, Geophysics, Geosystems","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2012GC004128","usgsCitation":"Kuffner, I., Jokiel, P., Rodgers, K., Andersson, A., and Mackenzie, F.T., 2012, An apparent \"vital effect\" of calcification rate on the Sr/Ca temperature proxy in the reef coral Montipora capitata: Geochemistry, Geophysics, Geosystems, v. 13, no. 8, 10 p.; Q08004, https://doi.org/10.1029/2012GC004128.","productDescription":"10 p.; Q08004","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474408,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2012gc004128","text":"Publisher Index Page"},{"id":259020,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259015,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012GC004128","linkFileType":{"id":5,"text":"html"}}],"volume":"13","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-08-14","publicationStatus":"PW","scienceBaseUri":"5059ea00e4b0c8380cd485a2","contributors":{"authors":[{"text":"Kuffner, Ilsa","contributorId":89026,"corporation":false,"usgs":true,"family":"Kuffner","given":"Ilsa","email":"","affiliations":[],"preferred":false,"id":465061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jokiel, Paul L.","contributorId":31638,"corporation":false,"usgs":true,"family":"Jokiel","given":"Paul L.","affiliations":[],"preferred":false,"id":465057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodgers, Kuulei","contributorId":85054,"corporation":false,"usgs":true,"family":"Rodgers","given":"Kuulei","email":"","affiliations":[],"preferred":false,"id":465059,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andersson, Andreas","contributorId":85472,"corporation":false,"usgs":true,"family":"Andersson","given":"Andreas","affiliations":[],"preferred":false,"id":465060,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mackenzie, Fred T.","contributorId":60090,"corporation":false,"usgs":true,"family":"Mackenzie","given":"Fred","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":465058,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70039128,"text":"ofr20111044 - 2012 - Preliminary surficial geologic map of the Newberry Springs 30' x 60' quadrangle, California","interactions":[],"lastModifiedDate":"2022-04-15T20:06:14.07065","indexId":"ofr20111044","displayToPublicDate":"2012-07-19T00:00:00","publicationYear":"2012","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":"2011-1044","title":"Preliminary surficial geologic map of the Newberry Springs 30' x 60' quadrangle, California","docAbstract":"The Newberry Springs 30' x 60' quadrangle is located in the central Mojave Desert of southern California. It is split approximately into northern and southern halves by I-40, with the city of Barstow at its western edge and the town of Ludlow near its eastern edge. The map area spans lat 34&deg;30 to 35&deg; N. to long -116 &deg;to -117&deg; W. and covers over 1,000 km<super>2</super>. We integrate the results of surficial geologic mapping conducted during 2002-2005 with compilations of previous surficial mapping and bedrock geologic mapping. Quaternary units are subdivided in detail on the map to distinguish variations in age, process of formation, pedogenesis, lithology, and spatial interdependency, whereas pre-Quaternary bedrock units are grouped into generalized assemblages that emphasize their attributes as hillslope-forming materials and sources of parent material for the Quaternary units. The spatial information in this publication is presented in two forms: a spatial database and a geologic map. The geologic map is a <i>view</i> (the display of an extracted subset of the database at a given time) of the spatial database; it highlights key aspects of the database and necessarily does not show all of the data contained therein. The database contains detailed information about Quaternary geologic unit composition, authorship, and notes regarding geologic units, faults, contacts, and local vegetation. The amount of information contained in the database is too large to show on a single map, so a restricted subset of the information was chosen to summarize the overall nature of the geology. Refer to the database for additional information. Accompanying the spatial data are the map documentation and spatial metadata. The map documentation (this document) describes the geologic setting and history of the Newberry Springs map sheet, summarizes the age and physical character of each map unit, and describes principal faults and folds. The Federal Geographic Data Committee (FGDC) compliant metadata provides detailed information about the digital files and file structure of the spatial data.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111044","usgsCitation":"Phelps, G.A., Bedford, D.R., Lidke, D., Miller, D., and Schmidt, K., 2012, Preliminary surficial geologic map of the Newberry Springs 30' x 60' quadrangle, California: U.S. Geological Survey Open-File Report 2011-1044, Pamplet: v, 68 p.; 1 Plate: 66 x 32 inches; Readme; Metadata; GIS Database, https://doi.org/10.3133/ofr20111044.","productDescription":"Pamplet: v, 68 p.; 1 Plate: 66 x 32 inches; Readme; Metadata; GIS Database","onlineOnly":"Y","costCenters":[{"id":671,"text":"Western Region Geology and Geophysics Science Center","active":false,"usgs":true}],"links":[{"id":259033,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1044.JPG"},{"id":398866,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_97108.htm"},{"id":259029,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1044/","linkFileType":{"id":5,"text":"html"}},{"id":259030,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2011/1044/OFR2011-1044_pamphlet.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259031,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2011/1044/OFR2011-1044_sheet.pdf","linkFileType":{"id":1,"text":"pdf"}}],"scale":"100000","projection":"Universal Transverse Mercator, zone 11","datum":"North American Datum of 1927","country":"United States","state":"California","otherGeospatial":"Newberry Springs 30' x 60' quadrangle","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117,34.5 ], [ -117,35 ], [ -116,35 ], [ -116,34.5 ], [ -117,34.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a8ad7e4b0c8380cd7e10d","contributors":{"authors":[{"text":"Phelps, G. A.","contributorId":67107,"corporation":false,"usgs":true,"family":"Phelps","given":"G.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":465655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedford, D. R.","contributorId":9734,"corporation":false,"usgs":true,"family":"Bedford","given":"D.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":465652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lidke, D. J.","contributorId":10857,"corporation":false,"usgs":true,"family":"Lidke","given":"D. J.","affiliations":[],"preferred":false,"id":465653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, D. M. 0000-0003-3711-0441","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":104422,"corporation":false,"usgs":true,"family":"Miller","given":"D. M.","affiliations":[],"preferred":false,"id":465656,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmidt, K. M. 0000-0003-2365-8035","orcid":"https://orcid.org/0000-0003-2365-8035","contributorId":59830,"corporation":false,"usgs":true,"family":"Schmidt","given":"K. M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":465654,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70039113,"text":"ofr20121121 - 2012 - Thermal and hydrological observations near Twelvemile Lake in discontinuous permafrost, Yukon Flats, interior Alaska, September 2010-August 2011","interactions":[],"lastModifiedDate":"2018-06-19T19:50:30","indexId":"ofr20121121","displayToPublicDate":"2012-07-19T00:00:00","publicationYear":"2012","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":"2012-1121","title":"Thermal and hydrological observations near Twelvemile Lake in discontinuous permafrost, Yukon Flats, interior Alaska, September 2010-August 2011","docAbstract":"A series of ground-based observations were made between September 2010 and August 2011 near Twelvemile Lake, 19 kilometers southwest of Fort Yukon, Alaska, for use in ongoing hydrological analyses of watersheds in this region of discontinuous permafrost. Measurements include depth to ground ice, depth to water table, soil texture, soil moisture, soil temperature, and water pressure above the permafrost table. In the drained basin of subsiding Twelvemile Lake, we generally find an absence of newly formed permafrost and an undetectable slope of the water table; however, a sloping water table was observed in the low-lying channels extending into and away from the lake watershed. Datasets for these observations are summarized in this report and can be accessed by clicking on the links in each section or from the Downloads folder of the report Web page.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121121","usgsCitation":"Jepsen, S.M., Koch, J.C., Rose, J.R., Voss, C.I., and Walvoord, M.A., 2012, Thermal and hydrological observations near Twelvemile Lake in discontinuous permafrost, Yukon Flats, interior Alaska, September 2010-August 2011: U.S. Geological Survey Open-File Report 2012-1121, iv, 25 p.; Downloads Directory, https://doi.org/10.3133/ofr20121121.","productDescription":"iv, 25 p.; Downloads Directory","onlineOnly":"Y","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":259012,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1121.JPG"},{"id":259008,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1121/OF12-1121.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259007,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1121/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Buddy Lake;Twelvemile Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -145.6,66.41666666666667 ], [ -145.6,66.48333333333333 ], [ -145.33333333333334,66.48333333333333 ], [ -145.33333333333334,66.41666666666667 ], [ -145.6,66.41666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb20ee4b08c986b325586","contributors":{"authors":[{"text":"Jepsen, Steven M. sjepsen@usgs.gov","contributorId":3892,"corporation":false,"usgs":true,"family":"Jepsen","given":"Steven","email":"sjepsen@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":465634,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":465633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rose, Joshua R.","contributorId":90147,"corporation":false,"usgs":true,"family":"Rose","given":"Joshua","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":465635,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":465632,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walvoord, Michelle Ann 0000-0003-4269-8366 walvoord@usgs.gov","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":147211,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"walvoord@usgs.gov","middleInitial":"Ann","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":465636,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70039116,"text":"sir20125129 - 2012 - Fate and transport of cyanobacteria and associated toxins and taste-and-odor compounds from upstream reservoir releases in the Kansas River, Kansas, September and October 2011","interactions":[],"lastModifiedDate":"2012-07-20T01:01:46","indexId":"sir20125129","displayToPublicDate":"2012-07-19T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5129","title":"Fate and transport of cyanobacteria and associated toxins and taste-and-odor compounds from upstream reservoir releases in the Kansas River, Kansas, September and October 2011","docAbstract":"Cyanobacteria cause a multitude of water-quality concerns, including the potential to produce toxins and taste-and-odor compounds. Toxins and taste-and-odor compounds may cause substantial economic and public health concerns and are of particular interest in lakes, reservoirs, and rivers that are used for drinking-water supply, recreation, or aquaculture. The Kansas River is a primary source of drinking water for about 800,000 people in northeastern Kansas. Water released from Milford Lake to the Kansas River during a toxic cyanobacterial bloom in late August 2011 prompted concerns about cyanobacteria and associated toxins and taste-and-odor compounds in downstream drinking-water supplies. During September and October 2011 water-quality samples were collected to characterize the transport of cyanobacteria and associated compounds from upstream reservoirs to the Kansas River. This study is one of the first to quantitatively document the transport of cyanobacteria and associated compounds during reservoir releases and improves understanding of the fate and transport of cyanotoxins and taste-and-odor compounds downstream from reservoirs. Milford Lake was the only reservoir in the study area with an ongoing cyanobacterial bloom during reservoir releases. Concentrations of cyanobacteria and associated toxins and taste-and-odor compounds in Milford Lake (upstream from the dam) were not necessarily indicative of outflow conditions (below the dam). Total microcystin concentrations, one of the most commonly occurring cyanobacterial toxins, in Milford Lake were 650 to 7,500 times higher than the Kansas Department of Health and Environment guidance level for a public health warning (20 micrograms per liter) for most of September 2011. By comparison, total microcystin concentrations in the Milford Lake outflow generally were less than 10 percent of the concentrations in surface accumulations, and never exceeded 20 micrograms per liter. The Republican River, downstream from Milford Lake, was the only Kansas River tributary with detectable microcystin concentrations throughout the study period, and concentrations exceeded 1 microgram per liter for most of September 2011. Microcystin was detected periodically in other tributaries, but concentrations were low (less than 0.3 micrograms per liter). In contrast, the taste-and-odor compounds geosmin and 2-methylisoborneol (MIB) were detected in all tributaries located immediately downstream from reservoirs and total concentrations generally exceeded the human detection threshold (5 to 10 nanograms per liter) from September through mid-October. Microcystin, geosmin, and MIB were not detected in the Smoky Hill River upstream from the confluence with the Republican River that forms the Kansas River. Within a week after initial reservoir releases, microcystin, geosmin, and MIB were detected throughout a 173-mile reach of the Kansas River; these compounds remained detectable throughout the reach until mid-October. Losses to groundwater when streamflows in the Kansas River were increasing indicate the potential for reservoir releases to affect groundwater quality as well as surface-water quality. Total microcystin concentrations in the Kansas River generally were highest within about 24 miles of the confluence of the Smoky Hill and Republican Rivers, and decreased downstream; concentrations exceeded 1 microgram per liter in the Kansas River upstream from Topeka during the first 2 weeks of September. Patterns in microcystin occurrence and concentration at Kansas River tributary and main-stem sites indicate that Milford Lake was the source of microcystin in the Kansas River; however, the source of taste-and-odor compounds was not as evident, possibly because multiple tributaries contributed taste-and-odor compounds to the Kansas River. Microcystin and taste-and-odor compounds co-occurred in 56 percent of samples collected, indicating co-occurrence was common. Despite frequent co-occurrence, the spatial and temporal patterns in microcystin, geosmin, and MIB were unique and did not necessarily match patterns in cyanobacterial abundance. Use of a single compound or cyanobacterial abundance alone cannot necessarily be used as an indicator of the presence or concentration of these compounds. Measured concentrations of cyanobacteria and associated compounds were substantially higher than expected concentrations based on simple dilution models at some sites and substantially lower at others, though spatial and temporal patterns were unique for individual compounds. Data were not collected in such a way to determine whether differences between measured and expected concentrations were statistically significant. Results, however, indicate that simple dilution models were not sufficient to describe the downstream transport of cyanobacteria and associated compounds in the Kansas River.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125129","collaboration":"Prepared in cooperation with the City of Lawrence, the City of Topeka, Johnson County WaterOne, the Kansas Water Office, and the Kansas Department of Health and Environment","usgsCitation":"Graham, J.L., Ziegler, A., Loving, B.L., and Loftin, K.A., 2012, Fate and transport of cyanobacteria and associated toxins and taste-and-odor compounds from upstream reservoir releases in the Kansas River, Kansas, September and October 2011: U.S. Geological Survey Scientific Investigations Report 2012-5129, vi, 65 p.; appendices, https://doi.org/10.3133/sir20125129.","productDescription":"vi, 65 p.; appendices","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":259019,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5129.JPG"},{"id":259016,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5129/sir2012-5129.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":259014,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5129/","linkFileType":{"id":5,"text":"html"}}],"scale":"2000000","projection":"Albers Equal-area Conic","country":"United States","state":"Kansas","otherGeospatial":"Kansas River;Milford Lake;Republican River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.5,38.5 ], [ -97.5,40 ], [ -94.75,40 ], [ -94.75,38.5 ], [ -97.5,38.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0f08e4b0c8380cd5371c","contributors":{"authors":[{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":465639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ziegler, Andrew C. aziegler@usgs.gov","contributorId":433,"corporation":false,"usgs":true,"family":"Ziegler","given":"Andrew C.","email":"aziegler@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":465637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loving, Brian L. bloving@usgs.gov","contributorId":4565,"corporation":false,"usgs":true,"family":"Loving","given":"Brian","email":"bloving@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":465640,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":465638,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70039108,"text":"70039108 - 2012 - Cultured fungal associates from the deep-sea coral Lophelia pertusa","interactions":[],"lastModifiedDate":"2012-07-20T01:01:46","indexId":"70039108","displayToPublicDate":"2012-07-19T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1370,"text":"Deep-Sea Research Part I: Oceanographic Research Papers","active":true,"publicationSubtype":{"id":10}},"title":"Cultured fungal associates from the deep-sea coral Lophelia pertusa","docAbstract":"The cold-water coral Lophelia pertusa provides important habitat to many deep-sea fishes and invertebrates. Studies of the microbial taxa associated with L. pertusa thus far have focused on bacteria, neglecting the microeukaryotic members. This is the first study to culture fungi from living L. pertusa and to investigate carbon source utilization by the fungal associates. Twenty-seven fungal isolates from seven families, including both filamentous and yeast morphotypes, were cultured from healthy L. pertusa colonies collected from the northern Gulf of Mexico, the West Florida Slope, and the western Atlantic Ocean off the Florida coast. Isolates from different sites were phylogenetically closely related, indicating these genera are widely distributed in association with L. pertusa. Biolog&trade; Filamentous Fungi microtiter plates were employed to determine the functional capacity of a subset of isolates to grow on varied carbon sources. While four of the isolates exhibited no growth on any provided carbon source, the rest (<i>n</i>=10) grew on 8.3&ndash;66.7% of carbon sources available. Carbohydrates, carboxylic acids, and amino acids were the most commonly metabolized carbon sources, with overlap between the carbon sources used and amino acids found in L. pertusa mucus. This study represents the first attempt to characterize a microeukaryotic group associated with L. pertusa. However, the functional role of fungi within the coral holobiont remains unclear.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Deep-Sea Research Part I: Oceanographic Research Papers","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.dsr.2012.05.001","usgsCitation":"Galkiewicz, J.P., Stellick, S.H., Gray, M.A., and Kellogg, C.A., 2012, Cultured fungal associates from the deep-sea coral Lophelia pertusa: Deep-Sea Research Part I: Oceanographic Research Papers, v. 67, p. 12-20, https://doi.org/10.1016/j.dsr.2012.05.001.","productDescription":"9 p.","startPage":"12","endPage":"20","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":259011,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259006,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.dsr.2012.05.001","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"Gulf Of Mexico;Atlantic Ocean","volume":"67","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fd08e4b0c8380cd4e5c8","contributors":{"authors":[{"text":"Galkiewicz, Julia P.","contributorId":61944,"corporation":false,"usgs":true,"family":"Galkiewicz","given":"Julia","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":465627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stellick, Sarah H.","contributorId":99275,"corporation":false,"usgs":true,"family":"Stellick","given":"Sarah","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":465628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Michael A. 0000-0002-3856-5037 mgray@usgs.gov","orcid":"https://orcid.org/0000-0002-3856-5037","contributorId":3532,"corporation":false,"usgs":true,"family":"Gray","given":"Michael","email":"mgray@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":465626,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kellogg, Christina A. 0000-0002-6492-9455 ckellogg@usgs.gov","orcid":"https://orcid.org/0000-0002-6492-9455","contributorId":391,"corporation":false,"usgs":true,"family":"Kellogg","given":"Christina","email":"ckellogg@usgs.gov","middleInitial":"A.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":465625,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70038502,"text":"70038502 - 2012 - Advancing hydroacoustic technologies for sedimentology research and monitoring","interactions":[],"lastModifiedDate":"2018-02-21T13:55:40","indexId":"70038502","displayToPublicDate":"2012-07-19T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"Advancing hydroacoustic technologies for sedimentology research and monitoring","docAbstract":"Presentation at the Joint USGS-CUAHSI Workshop on Sediment Hydroacoustic Techniquesfor Rivers and Streams; Shepherdstown, West Virginia, 20-22 March 2012.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2012EO260007","usgsCitation":"Landers, M., Arrigo, J., and Gray, J.R., 2012, Advancing hydroacoustic technologies for sedimentology research and monitoring: Eos, Transactions, American Geophysical Union, v. 93, no. 26, p. 244-244, https://doi.org/10.1029/2012EO260007.","productDescription":"1 p.","startPage":"244","endPage":"244","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":259022,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259013,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012EO260007","linkFileType":{"id":5,"text":"html"}}],"volume":"93","issue":"26","noUsgsAuthors":false,"publicationDate":"2012-06-26","publicationStatus":"PW","scienceBaseUri":"5059e707e4b0c8380cd477dd","contributors":{"authors":[{"text":"Landers, Mark","contributorId":25404,"corporation":false,"usgs":true,"family":"Landers","given":"Mark","affiliations":[],"preferred":false,"id":464436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arrigo, Jennifer","contributorId":92528,"corporation":false,"usgs":true,"family":"Arrigo","given":"Jennifer","affiliations":[],"preferred":false,"id":464437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, John R. 0000-0002-8817-3701 jrgray@usgs.gov","orcid":"https://orcid.org/0000-0002-8817-3701","contributorId":1158,"corporation":false,"usgs":true,"family":"Gray","given":"John","email":"jrgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true}],"preferred":true,"id":464435,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70039119,"text":"ofr20121139 - 2012 - Airborne digital-image data for monitoring the Colorado River corridor below Glen Canyon Dam, Arizona, 2009 - Image-mosaic production and comparison with 2002 and 2005 image mosaics","interactions":[],"lastModifiedDate":"2012-07-21T01:01:57","indexId":"ofr20121139","displayToPublicDate":"2012-07-19T00:00:00","publicationYear":"2012","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":"2012-1139","title":"Airborne digital-image data for monitoring the Colorado River corridor below Glen Canyon Dam, Arizona, 2009 - Image-mosaic production and comparison with 2002 and 2005 image mosaics","docAbstract":"Airborne digital-image data were collected for the Arizona part of the Colorado River ecosystem below Glen Canyon Dam in 2009. These four-band image data are similar in wavelength band (blue, green, red, and near infrared) and spatial resolution (20 centimeters) to image collections of the river corridor in 2002 and 2005. These periodic image collections are used by the Grand Canyon Monitoring and Research Center (GCMRC) of the U.S. Geological Survey to monitor the effects of Glen Canyon Dam operations on the downstream ecosystem. The 2009 collection used the latest model of the Leica ADS40 airborne digital sensor (the SH52), which uses a single optic for all four bands and collects and stores band radiance in 12-bits, unlike the image sensors that GCMRC used in 2002 and 2005. This study examined the performance of the SH52 sensor, on the basis of the collected image data, and determined that the SH52 sensor provided superior data relative to the previously employed sensors (that is, an early ADS40 model and Zeiss Imaging's Digital Mapping Camera) in terms of band-image registration, dynamic range, saturation, linearity to ground reflectance, and noise level. The 2009 image data were provided as orthorectified segments of each flightline to constrain the size of the image files; each river segment was covered by 5 to 6 overlapping, linear flightlines. Most flightline images for each river segment had some surface-smear defects and some river segments had cloud shadows, but these two conditions did not generally coincide in the majority of the overlapping flightlines for a particular river segment. Therefore, the final image mosaic for the 450-kilometer (km)-long river corridor required careful selection and editing of numerous flightline segments (a total of 513 segments, each 3.2 km long) to minimize surface defects and cloud shadows. The final image mosaic has a total of only 3 km of surface defects. The final image mosaic for the western end of the corridor has areas of cloud shadow because of persistent inclement weather during data collection. This report presents visual comparisons of the 2002, 2005, and 2009 digital-image mosaics for various physical, biological, and cultural resources within the Colorado River ecosystem. All of the comparisons show the superior quality of the 2009 image data. In fact, the 2009 four-band image mosaic is perhaps the best image dataset that exists for the entire Arizona part of the Colorado River.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121139","collaboration":"In cooperation with the Western Area Power Authority and the Bureau of Reclamation","usgsCitation":"Davis, P.A., 2012, Airborne digital-image data for monitoring the Colorado River corridor below Glen Canyon Dam, Arizona, 2009 - Image-mosaic production and comparison with 2002 and 2005 image mosaics: U.S. Geological Survey Open-File Report 2012-1139, vi, 82 p., https://doi.org/10.3133/ofr20121139.","productDescription":"vi, 82 p.","onlineOnly":"Y","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":259021,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1139.JPG"},{"id":259017,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1139/","linkFileType":{"id":5,"text":"html"}},{"id":259018,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1139/of2012-1139.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114,35 ], [ -114,37 ], [ -111,37 ], [ -111,35 ], [ -114,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e91de4b0c8380cd480e2","contributors":{"authors":[{"text":"Davis, Philip A. pdavis@usgs.gov","contributorId":692,"corporation":false,"usgs":true,"family":"Davis","given":"Philip","email":"pdavis@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":465644,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70190224,"text":"70190224 - 2012 - Effects of chronic wasting disease on reproduction and fawn harvest vulnerability in Wisconsin white-tailed deer","interactions":[],"lastModifiedDate":"2017-08-20T09:59:43","indexId":"70190224","displayToPublicDate":"2012-07-19T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Effects of chronic wasting disease on reproduction and fawn harvest vulnerability in Wisconsin white-tailed deer","docAbstract":"<p><span>Chronic wasting disease (CWD) is a fatal, transmissible spongiform encephalopathy that affects free-ranging and captive North American cervids. Although the impacts of CWD on cervid survival have been documented, little is known about the disease impacts on reproduction and recruitment. We used genetic methods and harvest data (2002–04) to reconstruct parentage for a cohort of white-tailed deer (</span><i>Odocoileus virginianus</i><span>) fawns born in spring 2002 and evaluate the effects of CWD infection on reproduction and fawn harvest vulnerability. There was no difference between CWD-positive and CWD-negative male deer in the probability of being a parent. However, CWD-positive females were more likely to be parents than CWD-negative females. Because our results are based on harvested animals, we evaluated the hypothesis that higher parentage rates occurred because fawns with CWD-positive mothers were more vulnerable to harvest. Male fawns with CWD-positive mothers were harvested earlier (&gt;1 mo relative to their mother’s date of harvest) and farther away from their mothers than male fawns with CWD-negative mothers. Male fawns with CWD-positive mothers were also harvested much earlier and farther away than female fawns from CWD-positive mothers. Most female fawns (86%) with CWD-positive mothers were harvested from the same section as their mothers, while almost half of male and female fawns with CWD-negative mothers were farther away. We conclude that preclinical stages of CWD infection do not prohibit white-tailed deer from successfully reproducing. However, apparently higher harvest vulnerability of male fawns with CWD-positive mothers suggests that CWD infection may make females less capable of providing adequate parental care to ensure the survival and recruitment of their fawns.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/0090-3558-48.2.361","usgsCitation":"Blanchong, J.A., Grear, D.A., Weckworth, B.V., Keane, D.P., Scribner, K.T., and Samuel, M.D., 2012, Effects of chronic wasting disease on reproduction and fawn harvest vulnerability in Wisconsin white-tailed deer: Journal of Wildlife Diseases, v. 48, no. 2, p. 361-370, https://doi.org/10.7589/0090-3558-48.2.361.","productDescription":"10 p.","startPage":"361","endPage":"370","ipdsId":"IP-028429","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474409,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7589/0090-3558-48.2.361","text":"Publisher Index Page"},{"id":344974,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599a9fb7e4b0b589267d58bb","contributors":{"authors":[{"text":"Blanchong, Julie A.","contributorId":6030,"corporation":false,"usgs":false,"family":"Blanchong","given":"Julie","email":"","middleInitial":"A.","affiliations":[{"id":13018,"text":"Department of Forest and Wildlife Ecology, University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":708085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grear, Daniel A. 0000-0002-5478-1549 dgrear@usgs.gov","orcid":"https://orcid.org/0000-0002-5478-1549","contributorId":149047,"corporation":false,"usgs":true,"family":"Grear","given":"Daniel","email":"dgrear@usgs.gov","middleInitial":"A.","affiliations":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":708086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weckworth, Byron V.","contributorId":195766,"corporation":false,"usgs":false,"family":"Weckworth","given":"Byron","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":708087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keane, Delwyn P.","contributorId":195767,"corporation":false,"usgs":false,"family":"Keane","given":"Delwyn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":708088,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scribner, Kim T.","contributorId":146113,"corporation":false,"usgs":false,"family":"Scribner","given":"Kim","email":"","middleInitial":"T.","affiliations":[{"id":16582,"text":"Department of Fisheries and Wildlife and Department of Zoology, 480 Wilson Rd. 13 Natural Resources Building, Michigan State University, East Lansing, MI 48824","active":true,"usgs":false},{"id":135,"text":"Biological Resources Division","active":false,"usgs":true}],"preferred":false,"id":708089,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Samuel, Michael D. msamuel@usgs.gov","contributorId":1419,"corporation":false,"usgs":true,"family":"Samuel","given":"Michael","email":"msamuel@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":708026,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70190229,"text":"70190229 - 2012 - Carbon storage, timber production, and biodiversity: comparing ecosystem services with multi-criteria decision analysis","interactions":[],"lastModifiedDate":"2017-08-18T17:42:29","indexId":"70190229","displayToPublicDate":"2012-07-19T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Carbon storage, timber production, and biodiversity: comparing ecosystem services with multi-criteria decision analysis","docAbstract":"Increasingly, land managers seek ways to manage forests for multiple ecosystem services and functions, yet considerable challenges exist in comparing disparate services and balancing trade-offs among them. We applied multi-criteria decision analysis (MCDA) and forest simulation models to simultaneously consider three objectives: (1) storing carbon, (2) producing timber and wood products, and (3) sustaining biodiversity. We used the Forest Vegetation Simulator (FVS) applied to 42 northern hardwood sites to simulate forest development over 100 years and to estimate carbon storage and timber production. We estimated biodiversity implications with occupancy models for 51 terrestrial bird species that were linked to FVS outputs. We simulated four alternative management prescriptions that spanned a range of harvesting intensities and forest structure retention. We found that silvicultural approaches emphasizing less frequent harvesting and greater structural retention could be expected to achieve the greatest net carbon storage but also produce less timber. More intensive prescriptions would enhance biodiversity because positive responses of early successional species exceeded negative responses of late successional species within the heavily forested study area. The combinations of weights assigned to objectives had a large influence on which prescriptions were scored as optimal. Overall, we found that a diversity of silvicultural approaches is likely to be preferable to any single approach, emphasizing the need for landscape-scale management to provide a full range of ecosystem goods and services. Our analytical framework that combined MCDA with forest simulation modeling was a powerful tool in understanding trade-offs among management objectives and how they can be simultaneously accommodated.","language":"English","publisher":"Ecological Society of America","doi":"10.1890/11-0864.1","usgsCitation":"Schwenk, W.S., Donovan, T., Keeton, W.S., and Nunery, J.S., 2012, Carbon storage, timber production, and biodiversity: comparing ecosystem services with multi-criteria decision analysis: Ecological Applications, v. 22, no. 5, p. 1612-1627, https://doi.org/10.1890/11-0864.1.","productDescription":"16 p.","startPage":"1612","endPage":"1627","ipdsId":"IP-029668","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":344970,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5997fc9fe4b0b589267cd220","contributors":{"authors":[{"text":"Schwenk, W. Scott","contributorId":172274,"corporation":false,"usgs":false,"family":"Schwenk","given":"W.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":708072,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donovan, Therese tdonovan@usgs.gov","contributorId":171599,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese","email":"tdonovan@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":708033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keeton, William S.","contributorId":195759,"corporation":false,"usgs":false,"family":"Keeton","given":"William","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":708073,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nunery, Jared S.","contributorId":195760,"corporation":false,"usgs":false,"family":"Nunery","given":"Jared","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":708074,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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