In October 2011, the U.S. Geological Survey (USGS) contracted airborne magnetic and electromagnetic surveys of the Paradox and San Luis Valleys in southern Colorado, United States. These airborne geophysical surveys provide high-resolution and spatially comprehensive datasets characterizing the resistivity structure of the shallow subsurface of each survey region, accompanied by magnetic-field information over matching areas. These data were collected to provide insight into the distribution of groundwater brine in the Paradox Valley, the extent of clay aquitards in the San Luis Valley, and to improve our understanding of the geologic framework for both regions. This report describes these contracted surveys and releases digital data supplied under contract to the USGS.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151024","collaboration":"Prepared in cooperation with U.S. Bureau of Reclamation and National Park Service","usgsCitation":"Ball, L.B., Bloss, B.R., Bedrosian, P.A., Grauch, V.J., and Smith, B.D., 2015, Airborne electromagnetic and magnetic survey data of the Paradox and San Luis Valleys, Colorado: U.S. Geological Survey Open-File Report 2015-1024, Report: iv, 19 p.; 4 Appendices; Downloads Directory, https://doi.org/10.3133/ofr20151024.","productDescription":"Report: iv, 19 p.; 4 Appendices; Downloads Directory","startPage":"19","numberOfPages":"23","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-059053","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":299156,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151024.jpg"},{"id":299149,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1024/"},{"id":299150,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1024/pdf/ofr2015-1024.pdf","text":"Report","size":"5.15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":299151,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1024/pdf/Appendix1A.pdf","text":"Appendix 1A","size":"61.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 1A"},{"id":299152,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1024/pdf/Appendix1B.pdf","text":"Appendix 1B","size":"250 kB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 1B"},{"id":299153,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1024/pdf/Appendix1C.pdf","text":"Appendix 1C","size":"34.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 1C"},{"id":299154,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1024/pdf/Appendix1D.pdf","text":"Appendix 1D","size":"26.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 1D"},{"id":299155,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2015/1024/downloads/","text":"Downloads Directory"}],"country":"United States","state":"Colorado","otherGeospatial":"Paradox Valley, San Luis Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.57763671875,\n 36.8092847020594\n ],\n [\n -109.57763671875,\n 38.94232097947902\n ],\n [\n -103.42529296875,\n 38.94232097947902\n ],\n [\n -103.42529296875,\n 36.8092847020594\n ],\n [\n -109.57763671875,\n 36.8092847020594\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551a659ee4b03238427833e9","contributors":{"authors":[{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":543640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bloss, Benjamin R. bbloss@usgs.gov","contributorId":4821,"corporation":false,"usgs":true,"family":"Bloss","given":"Benjamin","email":"bbloss@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":543641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":543642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grauch, V. J. S. 0000-0002-0761-3489 tien@usgs.gov","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":886,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"tien@usgs.gov","middleInitial":"J. S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":543643,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Bruce D. 0000-0002-1643-2997 bsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-1643-2997","contributorId":845,"corporation":false,"usgs":true,"family":"Smith","given":"Bruce","email":"bsmith@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":543644,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70139236,"text":"ds903 - 2015 - Archive of sediment data from vibracores collected in 2010 offshore of the Mississippi barrier islands","interactions":[],"lastModifiedDate":"2015-03-30T13:48:16","indexId":"ds903","displayToPublicDate":"2015-03-30T14:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"903","title":"Archive of sediment data from vibracores collected in 2010 offshore of the Mississippi barrier islands","docAbstract":"In 2010, scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center collected sediment cores from coastal waters offshore of the Mississippi barrier islands. With funding support from the Northern Gulf of Mexico (NGOM) Ecosystem Change and Hazard Susceptibility project, 65 subaqueous sediment cores were collected over an area of 480 square kilometers (km2), from Ship Island to Petit Bois Island Pass, Mississippi, within the boundary of Gulf Islands National Seashore. This represents only a fraction of the total area encompassed by the NGOM project, which extends from Sabine Lake, Louisiana, to Perdido Bay, Alabama. The primary objectives of the NGOM project are to understand the evolution of coastal ecosystems on the northern gulf coast, the impact of human activities on these ecosystems, and the vulnerability of ecosystems and human communities to more frequent and intense hurricanes in the future.
\nSelection of the core site locations was based on geophysical surveys conducted around the islands from 2008 to 2010. The surveys, using acoustic systems to image and interpret the nearsurface stratigraphy, were conducted to investigate the geologic controls on island evolution. This data series serves as an archive of sediment data collected from August to September 2010, offshore of the Mississippi barrier islands. Data products, including descriptive core logs, core photographs, results of sediment grain-size analyses, sample location maps, and geographic information system (GIS) data files with accompanying formal Federal Geographic Data Committee (FDGC) metadata can be downloaded from the data products and downloads page.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds903","usgsCitation":"Kelso, K.W., and Flocks, J.G., 2015, Archive of sediment data from vibracores collected in 2010 offshore of the Mississippi barrier islands: U.S. Geological Survey Data Series 903, HTML Document, https://doi.org/10.3133/ds903.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-01-01","ipdsId":"IP-055663","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":299140,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds903.jpg"},{"id":299139,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0903/html/ds903_abstract.html","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"Report"},{"id":299130,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0903/"}],"country":"United States","state":"Mississippi","otherGeospatial":"Mississippi barrier islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.20074462890625,\n 30.168875561169088\n ],\n [\n -89.20074462890625,\n 30.285159872426014\n ],\n [\n -88.36578369140625,\n 30.285159872426014\n ],\n [\n -88.36578369140625,\n 30.168875561169088\n ],\n [\n -89.20074462890625,\n 30.168875561169088\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551a65a0e4b03238427833ef","contributors":{"authors":[{"text":"Kelso, Kyle W. 0000-0003-0615-242X kkelso@usgs.gov","orcid":"https://orcid.org/0000-0003-0615-242X","contributorId":4307,"corporation":false,"usgs":true,"family":"Kelso","given":"Kyle","email":"kkelso@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":543625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":543626,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70137943,"text":"ds910 - 2015 - Chemicals of emerging concern in water and bottom sediment in the Great Lakes Basin, 2012: collection methods, analytical methods, quality assurance, and study data","interactions":[],"lastModifiedDate":"2016-06-14T10:19:07","indexId":"ds910","displayToPublicDate":"2015-03-30T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"910","title":"Chemicals of emerging concern in water and bottom sediment in the Great Lakes Basin, 2012: collection methods, analytical methods, quality assurance, and study data","docAbstract":"In synoptic surveys of surface-water quality across the United States, a large group of organic chemicals associated with agricultural, household, and industrial waste have been detected. These chemicals are referred to collectively as chemicals of emerging concern (CECs) and include prescription drugs and antibiotics, over-the-counter medications, reproductive hormones, personal-care products, detergent metabolites, and flame retardants.
\nThe U.S. Geological Survey (USGS) collaborated with the U.S. Fish and Wildlife Service and the U.S. Environmental Protection Agency on a study to identify the presence of CECs in water and bottom-sediment samples collected during 2012 at 66 sites throughout the Great Lakes Basin. The 2012 effort is part of a long-term study that was initiated in 2010.
\nThe purposes of this report are to document the collection and analytical methods, provide the quality-assurance data and analyses, and provide the water and bottom-sediment data for this study of CECs in the Great Lakes Basin for 2012. A previous report documents data collected during 2010 and 2011. The methods used for chemical analyses were identical between the 2010–11 and 2012 studies, with the exception that a method to determine nontarget chemicals was used during 2010–11. The data from this study are published as a USGS Data Series Report to ensure adequate documentation of the original methods and provide a citable source for study data. This report contains no interpretations of the study data. The chemical data are as reported by the laboratory and have not been censored or adjusted unless otherwise noted.
\nField measurements were recorded and samples were collected in April and May and in September 2012, by U.S. Geological Survey, U.S. Fish and Wildlife Service, and U.S. Environmental Protection Agency personnel. Study sites included tributaries to the Great Lakes located near Duluth, Minnesota; King, Wisconsin; Green Bay, Wis.; Detroit, Michigan; Monroe, Mich.; Toledo, Ohio, and Rochester, New York. Water and bottom-sediment samples were analyzed at the USGS National Water Quality Laboratory in Denver, Colorado, for a broad suite of CECs.
\nDuring this 2012 study, 140 environmental and 8 field duplicate samples of surface water and wastewater effluent, 1 field blank water sample, and 5 field spike water samples were collected or prepared. Water samples were analyzed at the USGS National Water Quality Laboratory using laboratory schedule 4433 for wastewater indicators, research method 8244 for pharmaceuticals, and laboratory schedule 4434 for steroid hormones, sterols, and bisphenol A. For wastewater indicators in unfiltered water, 61 of the 68 chemicals analyzed using laboratory schedule 4433 had detectable concentrations ranging from 0.002 to 64.4 micrograms per liter. Thirty-eight of the 48 chemicals analyzed using research method 8244 for pharmaceuticals in unfiltered water had detectable concentrations ranging from 0.002 to 3.32 micrograms per liter. Twelve of the 20 chemicals analyzed using laboratory schedule 4434 for steroid hormones, sterols, and bisphenol A in unfiltered water had detectable concentrations ranging from 0.43 to 120,000 nanograms per liter.
\nDuring this study, 53 environmental samples, 4 field duplicate samples, and 8 field spike samples of bottom sediment and laboratory matrix-spike samples were analyzed for a wide variety of CECs at the USGS National Water Quality Laboratory using laboratory schedule 5433 for wastewater indicators; research method 6434 for steroid hormones, sterols, and bisphenol A; and research method 9008 for human-use pharmaceuticals and antidepressants. Forty of the 57 chemicals analyzed using laboratory schedule 5433 had detectable concentrations ranging from 1 to 49,000 micrograms per kilogram. Fourteen of the 20 chemicals analyzed using research method 6434 had detectable concentrations ranging from 0.04 to 24,940 nanograms per gram. Ten of the 20 chemicals analyzed using research method 9008 had detectable concentrations ranging from 0.59 to 197.5 micrograms per kilogram. Five of the 11 chemicals analyzed using research method 9008 had detectable concentrations ranging from 1.16 to 25.0 micrograms per kilogram.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds910","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service and the U.S. Environmental Protection Agency","usgsCitation":"Lee, K., Langer, S., Menheer, M.A., Hansen, D.S., Foreman, W., Furlong, E.T., Jorgenson, Z.G., Choy, S.J., Moore, J.N., Banda, J., and Gefell, D.J., 2015, Chemicals of emerging concern in water and bottom sediment in the Great Lakes Basin, 2012: collection methods, analytical methods, quality assurance, and study data: U.S. Geological Survey Data Series 910, Report:vi, 14 p.; 2 Appendices; 6 Tables, https://doi.org/10.3133/ds910.","productDescription":"Report:vi, 14 p.; 2 Appendices; 6 Tables","startPage":"14","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2012-04-01","temporalEnd":"2012-09-30","ipdsId":"IP-043757","costCenters":[{"id":392,"text":"Minnesota Water Science 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J.","contributorId":138668,"corporation":false,"usgs":false,"family":"Choy","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":543621,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Moore, Jeremy N.","contributorId":138669,"corporation":false,"usgs":false,"family":"Moore","given":"Jeremy","email":"","middleInitial":"N.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":543622,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Banda, JoAnn","contributorId":138670,"corporation":false,"usgs":false,"family":"Banda","given":"JoAnn","email":"","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":543623,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gefell, Daniel J.","contributorId":138671,"corporation":false,"usgs":false,"family":"Gefell","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":543624,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70144439,"text":"70144439 - 2015 - Impacts of climate change on the formation and stability of late Quaternary sand sheets and falling dunes, Black Mesa region, southern Colorado Plateau, USA","interactions":[],"lastModifiedDate":"2015-03-30T14:26:25","indexId":"70144439","displayToPublicDate":"2015-03-30T14:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of climate change on the formation and stability of late Quaternary sand sheets and falling dunes, Black Mesa region, southern Colorado Plateau, USA","docAbstract":"Detailed geomorphic mapping and analysis of soil-stratigraphy and optically stimulated luminescence (OSL) dating of eolian sand dunes on Black Mesa, Arizona, reveal eolian sediment deposition occurred from 30 to 16 ka, followed by a period of widespread dune stabilization from 12 to 8 ka. Localized reactivation of the previously stabilized dune forms or local changes in sediment supply have occurred in the middle to late Holocene in this region. Cooler, wetter, and more variable climatic conditions during MIS 3 and 2 led to increased channel and floodplain sediment supply. Eolian sediment derived from these sources was transported up to 60 km. Deposition of this material has reduced regional topographic roughness by filling tributary canyon ‘traps’ oriented perpendicular to the dominant wind and sediment transport direction. Topographically controlled falling dunes and sand ramps in this region are preserved because of their geomorphic position and provide evidence of the paleoenvironmental state of the fluvial and eolian systems before, during, and immediately after the last glacial maximum on the southern Colorado Plateau.
\nWidely used predictive models of eolian system dynamics are typically based entirely on climatic variables and do not account for landscape complexity and geomorphic history. Climate-only assumptions fail to give accurate predictions of the dynamics of this and many other dune fields. A growing body of work suggests that eolian deposits in wind-driven semiarid climates may be more strongly related to increases in sediment supply than to increases in aridity.
","conferenceTitle":"9th New World Luminescence Dating Workshop","conferenceDate":"August 16-18, 2013","conferenceLocation":"Logan, UT","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2014.10.015","usgsCitation":"Ellwein, A.L., Mahan, S., and McFadden, L.D., 2015, Impacts of climate change on the formation and stability of late Quaternary sand sheets and falling dunes, Black Mesa region, southern Colorado Plateau, USA: Quaternary International, v. 362, p. 87-107, https://doi.org/10.1016/j.quaint.2014.10.015.","productDescription":"21 p.","startPage":"87","endPage":"107","numberOfPages":"21","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053887","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":299143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Black Mesa, Colorado Plateau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.269775390625,\n 36.79169061907076\n ],\n [\n -109.522705078125,\n 36.27085020723905\n ],\n [\n -110.9344482421875,\n 35.15135442846945\n ],\n [\n -111.741943359375,\n 35.88905007936091\n ],\n [\n -110.5609130859375,\n 36.79169061907076\n ],\n [\n -110.269775390625,\n 36.79169061907076\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"362","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551a65aee4b032384278342d","contributors":{"authors":[{"text":"Ellwein, Amy L.","contributorId":35916,"corporation":false,"usgs":true,"family":"Ellwein","given":"Amy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":543606,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahan, Shannon 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":1215,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":543605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McFadden, Leslie D.","contributorId":139971,"corporation":false,"usgs":false,"family":"McFadden","given":"Leslie","email":"","middleInitial":"D.","affiliations":[{"id":13339,"text":"University of New Mexico, Albuquerque","active":true,"usgs":false}],"preferred":false,"id":543607,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70144437,"text":"70144437 - 2015 - Luminescence dating of anthropogenic features of the San Luis Valley, Colorado: from stone huts to stone walls","interactions":[],"lastModifiedDate":"2015-03-30T11:31:46","indexId":"70144437","displayToPublicDate":"2015-03-30T11:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"Luminescence dating of anthropogenic features of the San Luis Valley, Colorado: from stone huts to stone walls","docAbstract":"The Snake Nest Wall site and the Crestone Stone Huts are in the northern San Luis Valley, Colorado, and provide a unique opportunity to date high-altitude archeological sites of unknown age and origin using optically stimulated luminescence (OSL). We sampled sediment underlying foundation stones of these structures to establish a chronological framework for each site's construction. OSL dating of the quartz grains directly under the Snake Nest Wall suggest that the stones and, therefore, the structure was most recently emplaced between 1855 and 1890 A.D. Dating of the sediment beneath the Crestone Stone Huts suggests the construction time of these huts is between 1860 and 1890 A.D. Analysis of the equivalent dose (DE) dispersion of the OSL samples at Snake Nest Wall and the Crestone Huts shows that the majority of sediments were fully bleached prior to deposition and the low scatter suggests that short-term or shallow alluvial processes were the dominant transport for sediments. In both cases, the OSL ages show that the construction was during very recent historical times, although it is likely that the Snake Nest Wall was rebuilt in the late 19th century. Further study is warranted at the Snake Nest Wall since it shows signs of greater antiquity and a continued presence of human use. The Crestone Huts are shown to be a product of railroad building during the boomtown days of Lucky and Crestone.
","conferenceTitle":"9th New World Luminescence Dating Workshop","conferenceDate":"August 16-18, 2013","conferenceLocation":"Logan, UT","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2014.09.067","usgsCitation":"Mahan, S., Donlan, R.A., and Kardos, B.M., 2015, Luminescence dating of anthropogenic features of the San Luis Valley, Colorado: from stone huts to stone walls: Quaternary International, v. 362, p. 50-62, https://doi.org/10.1016/j.quaint.2014.09.067.","productDescription":"13 p.","startPage":"50","endPage":"62","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053889","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":299128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"San Luis Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.0675048828125,\n 37.8813571797486\n ],\n [\n -106.0675048828125,\n 38.16371559639459\n ],\n [\n -105.6170654296875,\n 38.16371559639459\n ],\n [\n -105.6170654296875,\n 37.8813571797486\n ],\n [\n -106.0675048828125,\n 37.8813571797486\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"362","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551a65b0e4b032384278343b","contributors":{"authors":[{"text":"Mahan, Shannon 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":1215,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":543600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donlan, Rebecca A.","contributorId":139969,"corporation":false,"usgs":false,"family":"Donlan","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":13338,"text":"Native American Research and Preservation","active":true,"usgs":false}],"preferred":false,"id":543601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kardos, Barbara Maat","contributorId":139970,"corporation":false,"usgs":false,"family":"Kardos","given":"Barbara","email":"","middleInitial":"Maat","affiliations":[{"id":5119,"text":"Retired from U.S. Geological Survey, Interagency Grizzly Bear Study Team, Northern Rocky Mountain Science Center, 2327 University Way, suite 2, Bozeman, MT 59715","active":true,"usgs":false}],"preferred":false,"id":543602,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70144376,"text":"70144376 - 2015 - Integrating gene transcription-based biomarkers to understand desert tortoise and ecosystem health","interactions":[],"lastModifiedDate":"2015-11-09T10:28:22","indexId":"70144376","displayToPublicDate":"2015-03-30T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1443,"text":"EcoHealth","active":true,"publicationSubtype":{"id":10}},"title":"Integrating gene transcription-based biomarkers to understand desert tortoise and ecosystem health","docAbstract":"Tortoises are susceptible to a wide variety of environmental stressors, and the influence of human disturbances on health and survival of tortoises is difficult to detect. As an addition to current diagnostic methods for desert tortoises, we have developed the first leukocyte gene transcription biomarker panel for the desert tortoise (Gopherus agassizii), enhancing the ability to identify specific environmental conditions potentially linked to declining animal health. Blood leukocyte transcript profiles have the potential to identify physiologically stressed animals in lieu of clinical signs. For desert tortoises, the gene transcript profile included a combination of immune or detoxification response genes with the potential to be modified by biological or physical injury and consequently provide information on the type and magnitude of stressors present in the animal’s habitat. Blood from 64 wild adult tortoises at three sites in Clark County, NV, and San Bernardino, CA, and from 19 captive tortoises in Clark County, NV, was collected and evaluated for genes indicative of physiological status. Statistical analysis using a priori groupings indicated significant differences among groups for several genes, while multidimensional scaling and cluster analyses of transcriptionC T values indicated strong differentiation of a large cluster and multiple outlying individual tortoises or small clusters in multidimensional space. These analyses highlight the effectiveness of the gene panel at detecting environmental perturbations as well as providing guidance in determining the health of the desert tortoise.
","language":"English","publisher":"Springer","doi":"10.1007/s10393-014-0998-8","usgsCitation":"Bowen, L., Miles, A.K., Drake, K.K., Waters-Dynes, S.C., Esque, T., and Nussear, K.E., 2015, Integrating gene transcription-based biomarkers to understand desert tortoise and ecosystem health: EcoHealth, v. 12, no. 3, p. 501-512, https://doi.org/10.1007/s10393-014-0998-8.","productDescription":"12 p.","startPage":"501","endPage":"512","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061776","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":299127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","county":"Clark County, San Bernardino County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.7137451171875,\n 35.07046911981966\n ],\n [\n -115.27954101562499,\n 35.516578738902936\n ],\n [\n -115.24658203125,\n 35.831174956246535\n ],\n [\n -115.17791748046875,\n 35.92464453144099\n ],\n [\n -115.059814453125,\n 35.79553849799263\n ],\n [\n -114.97192382812499,\n 35.69187929931617\n ],\n [\n -114.71923828124999,\n 35.68184060244453\n ],\n [\n -114.7137451171875,\n 35.07046911981966\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.08541870117188,\n 35.12777117397315\n ],\n [\n -117.08541870117188,\n 35.62716331859532\n ],\n [\n -116.1639404296875,\n 35.62716331859532\n ],\n [\n -116.1639404296875,\n 35.12777117397315\n ],\n [\n -117.08541870117188,\n 35.12777117397315\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-06","publicationStatus":"PW","scienceBaseUri":"551a65afe4b0323842783432","contributors":{"authors":[{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":543561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miles, A. 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Kristina 0000-0003-0711-7634 kdrake@usgs.gov","orcid":"https://orcid.org/0000-0003-0711-7634","contributorId":3799,"corporation":false,"usgs":true,"family":"Drake","given":"K.","email":"kdrake@usgs.gov","middleInitial":"Kristina","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":543562,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waters-Dynes, Shannon C. 0000-0002-9707-4684 swaters@usgs.gov","orcid":"https://orcid.org/0000-0002-9707-4684","contributorId":5826,"corporation":false,"usgs":true,"family":"Waters-Dynes","given":"Shannon","email":"swaters@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":543563,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Esque, Todd C. tesque@usgs.gov","contributorId":139953,"corporation":false,"usgs":true,"family":"Esque","given":"Todd C.","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":543564,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nussear, Kenneth E. knussear@usgs.gov","contributorId":2695,"corporation":false,"usgs":true,"family":"Nussear","given":"Kenneth","email":"knussear@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":543565,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70144383,"text":"70144383 - 2015 - Ecological drivers of variation in tool-use frequency across sea otter populations","interactions":[],"lastModifiedDate":"2015-03-30T10:54:05","indexId":"70144383","displayToPublicDate":"2015-03-30T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":981,"text":"Behavioral Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Ecological drivers of variation in tool-use frequency across sea otter populations","docAbstract":"Sea otters are well-known tool users, employing objects such as rocks or shells to break open hard-shelled invertebrate prey. However, little is known about how the frequency of tool use varies among sea otter populations and the factors that drive these differences. We examined 17 years of observational data on prey capture and tool use from 8 sea otter populations ranging from southern California to the Aleutian Islands in Alaska. There were significant differences in the diets of these populations as well as variation in the frequency of tool use. Sea otters at Amchitka Island, Alaska, used tools on less than 1% of dives that resulted in the capture of prey compared with approximately 16% in Monterey, California. The percentage of individuals in the population that used tools ranged from 10% to 93%. In all populations, marine snails and thick-shelled bivalves were most likely to be associated with tool use, whereas soft-bodied prey items such as worms and sea stars were the least likely. The probability that a tool would be used on a given prey type varied across populations. The morphology of the prey item being handled and the prevalence of various types of prey in local diets were major ecological drivers of tool use: together they accounted for about 64% of the variation in tool-use frequency among populations. The remaining variation may be related to changes in the relative costs and benefits to an individual otter of learning to use tools effectively under differing ecological circumstances.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/beheco/aru220","usgsCitation":"Fujii, J., Ralls, K., and Tinker, M.T., 2015, Ecological drivers of variation in tool-use frequency across sea otter populations: Behavioral Ecology, v. 26, no. 2, p. 519-526, https://doi.org/10.1093/beheco/aru220.","productDescription":"8 p.","startPage":"519","endPage":"526","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061103","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":299125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska, California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -182.61474609375,\n 50.65294336725709\n ],\n [\n -182.61474609375,\n 52.281601868071434\n ],\n [\n -175.14404296874997,\n 52.281601868071434\n ],\n [\n -175.14404296874997,\n 50.65294336725709\n ],\n [\n -182.61474609375,\n 50.65294336725709\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -136.5655517578125,\n 58.09820267068277\n ],\n [\n -136.5655517578125,\n 58.819430209826066\n ],\n [\n -135.85693359375,\n 58.819430209826066\n ],\n [\n -135.85693359375,\n 58.09820267068277\n ],\n [\n -136.5655517578125,\n 58.09820267068277\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.89331054687499,\n 36.70365959719456\n ],\n [\n -121.89331054687499,\n 36.38591277287651\n ],\n [\n -120.640869140625,\n 35.110921809704756\n ],\n [\n -120.640869140625,\n 34.56990638085636\n ],\n [\n -120.36621093749999,\n 34.42503613021332\n ],\n [\n -119.17968749999999,\n 33.27543541298162\n ],\n [\n -119.520263671875,\n 32.95336814579932\n ],\n [\n -121.31103515625,\n 34.31621838080741\n ],\n [\n -122.73925781250001,\n 36.59788913307022\n ],\n [\n -121.89331054687499,\n 36.70365959719456\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-22","publicationStatus":"PW","scienceBaseUri":"551a65a8e4b032384278340e","contributors":{"authors":[{"text":"Fujii, Jessica 0000-0003-4794-479X","orcid":"https://orcid.org/0000-0003-4794-479X","contributorId":139956,"corporation":false,"usgs":false,"family":"Fujii","given":"Jessica","affiliations":[{"id":6953,"text":"Monterey Bay Aquarium","active":true,"usgs":false}],"preferred":false,"id":543567,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ralls, Katherine","contributorId":37900,"corporation":false,"usgs":false,"family":"Ralls","given":"Katherine","email":"","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":543568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tinker, M. Tim 0000-0002-3314-839X ttinker@usgs.gov","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":2796,"corporation":false,"usgs":true,"family":"Tinker","given":"M.","email":"ttinker@usgs.gov","middleInitial":"Tim","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":543566,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70146703,"text":"70146703 - 2015 - Embryonic and larval development and early behavior in grass carp, Ctenopharyngodon idella: implications for recruitment in rivers","interactions":[],"lastModifiedDate":"2015-04-21T09:09:03","indexId":"70146703","displayToPublicDate":"2015-03-30T10:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Embryonic and larval development and early behavior in grass carp, Ctenopharyngodon idella: implications for recruitment in rivers","docAbstract":"With recent findings of grass carp Ctenopharyngodon idella in tributaries of the Great Lakes, information on developmental rate and larval behavior is critical to efforts to assess the potential for establishment within the tributaries of that region. In laboratory experiments, grass carp were spawned and eggs and larvae reared at two temperature treatments, one \"cold\" and one \"warm\", and tracked for developmental rate, egg size, and behavior. Developmental rate was quantified using Yi's (1988) developmental stages and the cumulative thermal units method. Grass carp had a thermal minimum of 13.5°C for embryonic stages and 13.3°C for larval stages. Egg size was related to temperature and maternal size, with the largest eggs coming from the largest females, and eggs were generally larger in warmer treatments. Young grass carp larvae exhibited upward and downward swimming interspersed with long periods of lying on the bottom. Swimming capacity increased with ontogeny, and larvae were capable of horizontal swimming and position holding with gas bladder emergence. Developmental rates, behavior, and egg attributes can be used in combination with physical parameters of a river to assess the risk that grass carp are capable of reproduction and recruitment in rivers.
","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0119023","usgsCitation":"George, A.E., and Chapman, D., 2015, Embryonic and larval development and early behavior in grass carp, Ctenopharyngodon idella: implications for recruitment in rivers: PLoS ONE, v. 10, no. 3, p. 1-14, https://doi.org/10.1371/journal.pone.0119023.","productDescription":"14 p.","startPage":"1","endPage":"14","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056158","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":472185,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0119023","text":"Publisher Index Page"},{"id":299808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-30","publicationStatus":"PW","scienceBaseUri":"553774ade4b0b22a1580850d","contributors":{"authors":[{"text":"George, Amy E. 0000-0003-1150-8646 ageorge@usgs.gov","orcid":"https://orcid.org/0000-0003-1150-8646","contributorId":3950,"corporation":false,"usgs":true,"family":"George","given":"Amy","email":"ageorge@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":545345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":545346,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70146016,"text":"70146016 - 2015 - Pairing call-response surveys and distance sampling for a mammalian carnivore","interactions":[],"lastModifiedDate":"2015-04-27T16:08:32","indexId":"70146016","displayToPublicDate":"2015-03-30T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Pairing call-response surveys and distance sampling for a mammalian carnivore","docAbstract":"Density estimates accounting for differential animal detectability are difficult to acquire for wide-ranging and elusive species such as mammalian carnivores. Pairing distance sampling with call-response surveys may provide an efficient means of tracking changes in populations of coyotes (Canis latrans), a species of particular interest in the eastern United States. Blind field trials in rural New York State indicated 119-m linear error for triangulated coyote calls, and a 1.8-km distance threshold for call detectability, which was sufficient to estimate a detection function with precision using distance sampling. We conducted statewide road-based surveys with sampling locations spaced ≥6 km apart from June to August 2010. Each detected call (be it a single or group) counted as a single object, representing 1 territorial pair, because of uncertainty in the number of vocalizing animals. From 524 survey points and 75 detections, we estimated the probability of detecting a calling coyote to be 0.17 ± 0.02 SE, yielding a detection-corrected index of 0.75 pairs/10 km2 (95% CI: 0.52–1.1, 18.5% CV) for a minimum of 8,133 pairs across rural New York State. Importantly, we consider this an index rather than true estimate of abundance given the unknown probability of coyote availability for detection during our surveys. Even so, pairing distance sampling with call-response surveys provided a novel, efficient, and noninvasive means of monitoring populations of wide-ranging and elusive, albeit reliably vocal, mammalian carnivores. Our approach offers an effective new means of tracking species like coyotes, one that is readily extendable to other species and geographic extents, provided key assumptions of distance sampling are met.
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To analyze photo data, studies focusing on carnivores with unique pelage patterns have utilized a mark-recapture framework and studies of carnivores without unique pelage patterns have used a mark-resight framework. We compared mark-resight and mark-recapture estimation methods to estimate bobcat (Lynx rufus) population sizes, which motivated the development of a new \"hybrid\" mark-resight model as an alternative to traditional methods. We deployed a sampling grid of 30 cameras throughout the urban southern California study area. Additionally, we physically captured and marked a subset of the bobcat population with GPS telemetry collars. Since we could identify individual bobcats with photos of unique pelage patterns and a subset of the population was physically marked, we were able to use traditional mark-recapture and mark-resight methods, as well as the new “hybrid” mark-resight model we developed to estimate bobcat abundance. We recorded 109 bobcat photos during 4,669 camera nights and physically marked 27 bobcats with GPS telemetry collars. Abundance estimates produced by the traditional mark-recapture, traditional mark-resight, and “hybrid” mark-resight methods were similar, however precision differed depending on the models used. Traditional mark-recapture and mark-resight estimates were relatively imprecise with percent confidence interval lengths exceeding 100% of point estimates. Hybrid mark-resight models produced better precision with percent confidence intervals not exceeding 57%. The increased precision of the hybrid mark-resight method stems from utilizing the complete encounter histories of physically marked individuals (including those never detected by a camera trap) and the encounter histories of naturally marked individuals detected at camera traps. This new estimator may be particularly useful for estimating abundance of uniquely identifiable species that are difficult to sample using camera traps alone.
","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0123032","usgsCitation":"Alanso, R.S., McClintock, B.T., Lyren, L.M., Boydston, E.E., and Crooks, K.R., 2015, Mark-recapture and mark-resight methods for estimating abundance with remote cameras: a carnivore case study: PLoS ONE, v. 10, no. 3, e0123032; 13 p., https://doi.org/10.1371/journal.pone.0123032.","productDescription":"e0123032; 13 p.","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043232","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":472397,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0123032","text":"Publisher Index Page"},{"id":299591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Orange County","otherGeospatial":"San Joaquin Hills","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.88604736328124,\n 33.48070852506531\n ],\n [\n -117.88604736328124,\n 33.63005717508159\n ],\n [\n -117.72193908691406,\n 33.63005717508159\n ],\n [\n -117.72193908691406,\n 33.48070852506531\n ],\n [\n -117.88604736328124,\n 33.48070852506531\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-30","publicationStatus":"PW","scienceBaseUri":"5528f44ce4b026915857cb27","contributors":{"authors":[{"text":"Alanso, Robert S.","contributorId":140158,"corporation":false,"usgs":false,"family":"Alanso","given":"Robert","email":"","middleInitial":"S.","affiliations":[{"id":6737,"text":"Colorado State University, Department of Ecosystem Science and Sustainability, and Natural Resource Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":544535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McClintock, Brett T. 0000-0001-6154-4376","orcid":"https://orcid.org/0000-0001-6154-4376","contributorId":83785,"corporation":false,"usgs":true,"family":"McClintock","given":"Brett","email":"","middleInitial":"T.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":true,"id":544536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyren, Lisa M. llyren@usgs.gov","contributorId":2398,"corporation":false,"usgs":true,"family":"Lyren","given":"Lisa","email":"llyren@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":544534,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boydston, Erin E. 0000-0002-8452-835X eboydston@usgs.gov","orcid":"https://orcid.org/0000-0002-8452-835X","contributorId":1705,"corporation":false,"usgs":true,"family":"Boydston","given":"Erin","email":"eboydston@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":544533,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crooks, Kevin R.","contributorId":51137,"corporation":false,"usgs":false,"family":"Crooks","given":"Kevin","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":544537,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70155853,"text":"70155853 - 2015 - Hydrologic remediation for the Deepwater Horizon incident drove ancillary primary production increase in coastal swamps","interactions":[],"lastModifiedDate":"2019-12-11T09:34:58","indexId":"70155853","displayToPublicDate":"2015-03-30T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic remediation for the Deepwater Horizon incident drove ancillary primary production increase in coastal swamps","docAbstract":"As coastal wetlands subside worldwide, there is an urgency to understand the hydrologic drivers and dynamics of plant production and peat accretion. One incidental test of the effects of high rates of discharge on forested wetland production occurred in response to the 2010 Deepwater Horizon incident, in which all diversions in Louisiana were operated at or near their maximum discharge level for an extended period to keep offshore oil from threatened coastal wetlands. Davis Pond Diversion was operated at six times the normal discharge levels for almost 4 months, so that Taxodium distichum swamps downstream of the diversion experienced greater inundation and lower salinity. After this remediation event in 2010, above-ground litter production increased by 2.7 times of production levels in 2007–2011. Biomass of the leaf and reproductive tissues of several species increased; wood litter was minimal and did not change during this period. Root production decreased in 2010 but subsequently returned to pre-remediation values in 2011. Both litter and root production remained high in the second growing season after hydrologic remediation. 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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Carey, Rebecca","contributorId":121557,"corporation":false,"usgs":true,"family":"Carey","given":"Rebecca","affiliations":[],"preferred":false,"id":794601,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Cayol, Valerie","contributorId":121509,"corporation":false,"usgs":false,"family":"Cayol","given":"Valerie","email":"","affiliations":[],"preferred":false,"id":794602,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":794603,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Weis, Dominique","contributorId":236887,"corporation":false,"usgs":false,"family":"Weis","given":"Dominique","affiliations":[],"preferred":false,"id":794604,"contributorType":{"id":2,"text":"Editors"},"rank":4}]}} ,{"id":70162208,"text":"70162208 - 2015 - Citizen science contributes to our knowledge of invasive plant species distributions","interactions":[],"lastModifiedDate":"2016-01-20T13:13:41","indexId":"70162208","displayToPublicDate":"2015-03-28T14:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Citizen science contributes to our knowledge of invasive plant species distributions","docAbstract":"Citizen science is commonly cited as an effective approach to expand the scale of invasive species data collection and monitoring. However, researchers often hesitate to use these data due to concerns over data quality. In light of recent research on the quality of data collected by volunteers, we aimed to demonstrate the extent to which citizen science data can increase sampling coverage, fill gaps in species distributions, and improve habitat suitability models compared to professionally generated data sets used in isolation. We combined data sets from professionals and volunteers for five invasive plant species (Alliaria petiolata, Berberis thunbergii, Cirsium palustre, Pastinaca sativa, Polygonum cuspidatum) in portions of Wisconsin. Volunteers sampled counties not sampled by professionals for three of the five species. Volunteers also added presence locations within counties not included in professional data sets, especially in southern portions of the state where professional monitoring activities had been minimal. Volunteers made a significant contribution to the known distribution, environmental gradients sampled, and the habitat suitability of P. cuspidatum. Models generated with professional data sets for the other four species performed reasonably well according to AUC values (>0.76). The addition of volunteer data did not greatly change model performance (AUC > 0.79) but did change the suitability surface generated by the models, making them more realistic. Our findings underscore the need to merge data from multiple sources to improve knowledge of current species distributions, and to predict their movement under present and future environmental conditions. The efficiency and success of these approaches require that monitoring efforts involve multiple stakeholders in continuous collaboration via established monitoring networks.
","language":"English","publisher":"Kluwer Academic Publishers","publisherLocation":"Dordrecht","doi":"10.1007/s10530-015-0885-4","usgsCitation":"Crall, A.W., Jarnevich, C.S., Young, N.E., Panke, B., Renz, M., and Stohlgren, T., 2015, Citizen science contributes to our knowledge of invasive plant species distributions: Biological Invasions, v. 17, no. 8, p. 2415-2427, https://doi.org/10.1007/s10530-015-0885-4.","productDescription":"13 p.","startPage":"2415","endPage":"2427","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064446","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":314531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n 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","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Developments in Paleoenvironmental Research","language":"English","publisher":"Springer","doi":"10.1007/978-94-017-9541-8_2","collaboration":"None","usgsCitation":"Rosen, M.R., 2015, The influence of hydrology on lacustrine sediment contaminant records, chap. of Developments in Paleoenvironmental Research, p. 5-33, https://doi.org/10.1007/978-94-017-9541-8_2.","productDescription":"29 p.","startPage":"5","endPage":"33","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052181","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":310694,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":299412,"type":{"id":15,"text":"Index Page"},"url":"https://www.springer.com/us/book/9789401795401"}],"edition":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-28","publicationStatus":"PW","scienceBaseUri":"5630a046e4b093cee782042e","contributors":{"authors":[{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":544153,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70160373,"text":"70160373 - 2015 - Distribution of invasive and native riparian woody plants across the western USA in relation to climate, river flow, floodplain geometry and patterns of introduction","interactions":[],"lastModifiedDate":"2015-12-18T14:59:26","indexId":"70160373","displayToPublicDate":"2015-03-28T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Distribution of invasive and native riparian woody plants across the western USA in relation to climate, river flow, floodplain geometry and patterns of introduction","docAbstract":"Management of riparian plant invasions across the landscape requires understanding the combined influence of climate, hydrology, geologic constraints and patterns of introduction. We measured abundance of nine riparian woody taxa at 456 stream gages across the western USA. We constructed conditional inference recursive binary partitioning models to discriminate the influence of eleven environmental variables on plant occurrence and abundance, focusing on the two most abundant non-native taxa, Tamarix spp. and Elaeagnus angustifolia, and their native competitor Populus deltoides. River reaches in this study were distributed along a composite gradient from cooler, wetter higher-elevation reaches with higher stream power and earlier snowmelt flood peaks to warmer, drier lower-elevation reaches with lower power and later peaks. Plant distributions were strongly related to climate, hydrologic and geomorphic factors, and introduction history. The strongest associations were with temperature and then precipitation. Among hydrologic and geomorphic variables, stream power, peak flow timing and 10-yr flood magnitude had stronger associations than did peak flow predictability, low-flow magnitude, mean annual flow and channel confinement. Nearby intentional planting of Elaeagnus was the best predictor of its occurrence, but planting of Tamarix was rare. Higher temperatures were associated with greater abundance of Tamarix relative to P. deltoides, and greater abundance of P. deltoides relative toElaeagnus. Populus deltoides abundance was more strongly related to peak flow timing than was that of Elaeagnus or Tamarix. Higher stream power and larger 10-yr floods were associated with greater abundance of P. deltoides and Tamarix relative to Elaeagnus. Therefore, increases in temperature could increase abundance of Tamarix and decrease that of Elaeagnus relative to P. deltoides, changes in peak flow timing caused by climate change or dam operations could increase abundance of both invasive taxa, and dam-induced reductions in flood peaks could increase abundance of Elaeagnus relative to Tamarix and P. deltoides.
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Leroy","contributorId":150721,"corporation":false,"usgs":false,"family":"Poff","given":"N.","email":"","middleInitial":"Leroy","affiliations":[{"id":6737,"text":"Colorado State University, Department of Ecosystem Science and Sustainability, and Natural Resource Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":582754,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70134783,"text":"ofr20141250 - 2015 - Proceedings of the 9th U.S.-Japan natural resources panel for earthquake research","interactions":[],"lastModifiedDate":"2015-03-30T10:16:16","indexId":"ofr20141250","displayToPublicDate":"2015-03-27T11:00:00","publicationYear":"2015","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":"2014-1250","title":"Proceedings of the 9th U.S.-Japan natural resources panel for earthquake research","docAbstract":"The UJNR Panel on Earthquake Research promotes advanced study toward a more fundamental understanding of the earthquake process and hazard estimation. The Ninth Joint meeting was extremely beneficial in furthering cooperation and deepening understanding of problems common to both the U.S. and Japan. The meeting included productive exchanges of information on approaches to systematic observation and modeling of earthquake processes. Regarding the earthquake and tsunami of March 2011 off the Pacific coast of Tohoku, the Panel recognizes that further efforts are necessary to achieve our common goal of reducing earthquake risk through close collaboration and focused discussions at the 10th UJNR meeting. We look forward to continued cooperation on issues involving the densification of observation networks and the open exchange of data among scientific communities. We recognize the importance of making information publicly available in a timely manner. We also recognize the importance of information exchange on research policy and strategies, including the frameworks of research organizations.
\n–Specific areas of earthquake research where cooperative research between the U.S. and Japan may lead to significant advancement include, but are not limited to:
\n–Probabilistic earthquake and tsunami hazard estimation, including extraordinarily large earthquakes, both in our respective countries and worldwide, incorporating knowledge of current and past behavior, and physics based computational models;
\n–Real-time information from seismic, geodetic and strain measurements, including borehole strainmeters and seafloor observations using offshore cabled networks;
\n–Technologies for measuring crustal deformation;
\n–Early warning technologies for earthquakes and tsunamis; Studies of recurrence of large and extraordinary large earthquakes using paleoseismic, paleotsunami, geodetic and seismic methods;
\n–Laboratory, theoretical and in situ studies of fault-zone processes;
\n–Studies of episodic tremor and slow slip events using seismic, geodetic, and borehole strain measurements, and simulation techniques;
\n–Systematic studies of earthquake predictability through rigorously evaluated scientific prediction experiments and robust databases;
\n–Studies of near-source ground motions, geological effects and the response of engineered structures.
\nThe Panel strongly urges that the appropriate agencies in the U.S. and Japan that are represented on this panel work together with the academic sector to support and coordinate scientific work in these areas of cooperation. The Panel recognizes the importance of promoting the exchange of scientific personnel, exchange of data, and fundamental studies to advance progress in earthquake research. The U.S. and Japan should promote these exchanges throughout the world. The Panel endorses continuation of these activities.
","conferenceTitle":"9th U.S.-Japan Natural Resources Panel for Earthquake Research","conferenceDate":"October 9-12, 2012","conferenceLocation":"Denver, CO","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141250","usgsCitation":"2015, Proceedings of the 9th U.S.-Japan natural resources panel for earthquake research: U.S. Geological Survey Open-File Report 2014-1250, iv, 89 p., https://doi.org/10.3133/ofr20141250.","productDescription":"iv, 89 p.","numberOfPages":"95","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-044782","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":299044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141250.gif"},{"id":299042,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1250/downloads/of2014-1250.pdf","text":"Report","size":"9.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":299043,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1250/"}],"country":"Japan, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -219.2431640625,\n 45.69083283645816\n ],\n [\n -217.37548828125,\n 45.460130637921004\n ],\n [\n -214.3212890625,\n 44.41808794374849\n ],\n [\n -214.73876953125,\n 43.78695837311561\n ],\n [\n -213.81591796875,\n 43.197167282501276\n ],\n [\n -217.1337890625,\n 32.2313896627376\n ],\n [\n -219.39697265624997,\n 30.06909396443887\n ],\n [\n -227.9443359375,\n 25.60190226111573\n ],\n [\n -234.40429687499997,\n 25.720735134412106\n ],\n [\n -230.97656250000003,\n 34.63320791137959\n ],\n [\n -223.30810546875,\n 38.13455657705411\n ],\n [\n -219.2431640625,\n 45.69083283645816\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.7119140625,\n 24.44714958973082\n ],\n [\n -111.62109375,\n 24.44714958973082\n ],\n [\n -124.98046874999999,\n 29.38217507514529\n ],\n [\n -128.4521484375,\n 47.98992166741417\n ],\n [\n -115.6640625,\n 50.62507306341437\n ],\n [\n -110.302734375,\n 50.65294336725709\n ],\n [\n -106.3037109375,\n 46.01222384063236\n ],\n [\n -107.6220703125,\n 42.032974332441405\n ],\n [\n -102.041015625,\n 38.47939467327645\n ],\n [\n -99.84374999999999,\n 29.726222319395504\n ],\n [\n -99.7119140625,\n 24.44714958973082\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5516711ae4b0323842781ad8","contributors":{"editors":[{"text":"Detweiler, Shane T. 0000-0001-5699-011X shane@usgs.gov","orcid":"https://orcid.org/0000-0001-5699-011X","contributorId":680,"corporation":false,"usgs":true,"family":"Detweiler","given":"Shane","email":"shane@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":543523,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Ellsworth, William L. ellsworth@usgs.gov","contributorId":787,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William","email":"ellsworth@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":543524,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}} ,{"id":70148083,"text":"70148083 - 2015 - Variation in the myosoricine hand skeleton and its implications for locomotory behavior (Eulipotyphla: Soricidae)","interactions":[],"lastModifiedDate":"2015-05-19T09:14:45","indexId":"70148083","displayToPublicDate":"2015-03-27T10:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Variation in the myosoricine hand skeleton and its implications for locomotory behavior (Eulipotyphla: Soricidae)","docAbstract":"Substrate use and locomotory behavior of mammals are typically reflected in external characteristics of the forefeet, such as the relative proportions of the digits and claws. Although skeletal anatomy of the forefeet can be more informative than external characters, skeletons remain rare in systematic collections. This is particularly true for the Myosoricinae (Eulipotyphla: Soricidae), a small clade of African shrews that includes both ambulatory forest shrews (Myosorex) and semifossorial mole shrews (Surdisorex). Most species in this subfamily have restricted distributions, and their behavior and ecology are mostly unstudied. To better understand the potential range of locomotory behavior among myosoricines, we used digital x-rays to image and facilitate measuring the forefoot skeletons of 9 species. As a gauge of potential variation, we compared them with the ambulatory talpid Uropsilus (Talpidae) and the semifossorial talpid Neurotrichus. The hand morphologies of myosoricines show a graded range of potential substrate use between ambulatory and semifossorial. Some of these shrews exhibit adaptations for increased burrowing efficiency that are similar to those seen in talpids and other mammals, such as longer, broader distal phalanges and claws and shorter, wider metacarpals and proximal and middle phalanges. They also, however, have characteristics that are distinct from talpids, such as maintenance of forefoot asymmetry and an increased emphasis of ray III.
","language":"English","publisher":"American Society of Mammalogists","publisherLocation":"Provo, UT","doi":"10.1093/jmammal/gyu017","usgsCitation":"Woodman, N., and Stabile, F.A., 2015, Variation in the myosoricine hand skeleton and its implications for locomotory behavior (Eulipotyphla: Soricidae): Journal of Mammalogy, v. 96, no. 1, p. 159-171, https://doi.org/10.1093/jmammal/gyu017.","productDescription":"13 p.","startPage":"159","endPage":"171","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057854","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":472187,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyu017","text":"Publisher Index Page"},{"id":300530,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-27","publicationStatus":"PW","scienceBaseUri":"555c5ec9e4b0a92fa7eacc1d","contributors":{"authors":[{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":547208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stabile, Frank A.","contributorId":140860,"corporation":false,"usgs":false,"family":"Stabile","given":"Frank","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":547209,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70143012,"text":"fs20153024 - 2015 - Return to normal streamflows and water levels: summary of hydrologic conditions in Georgia, 2013","interactions":[],"lastModifiedDate":"2016-12-07T11:48:45","indexId":"fs20153024","displayToPublicDate":"2015-03-27T09:30:00","publicationYear":"2015","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":"2015-3024","title":"Return to normal streamflows and water levels: summary of hydrologic conditions in Georgia, 2013","docAbstract":"The U.S. Geological Survey (USGS) South Atlantic Water Science Center (SAWSC) Georgia office, in cooperation with local, State, and other Federal agencies, maintains a long-term hydrologic monitoring network of more than 340 real-time continuous-record streamflow-gaging stations (streamgages), including 10 real-time lake-level monitoring stations, 67 real-time surface-water-quality monitors, and several water-quality sampling programs. Additionally, the SAWSC Georgia office operates more than 180 groundwater monitoring wells, 39 of which are real-time. The wide-ranging coverage of streamflow, reservoir, and groundwater monitoring sites allows for a comprehensive view of hydrologic conditions across the State. One of the many benefits of this monitoring network is that the analyses of the data provide a spatially distributed overview of the hydrologic conditions of creeks, rivers, reservoirs, and aquifers in Georgia.
\nStreamflow and groundwater data are verified throughout the year by USGS hydrographers. Hydrologic conditions are determined by comparing the results of statistical analyses of the data collected during the current water year (WY) to historical data collected over the period of record. Changing hydrologic conditions emphasize the need for accurate, timely data to help Federal, State, and local officials make informed decisions regarding the management and conservation of Georgia’s water resources for agricultural, recreational, ecological, and water-supply needs and for use in protecting life and property.
\nDrought conditions, persistent in the area since 2010, continued into the 2013 WY. In February 2013, Georgia was free of extreme (D3) drought conditions, as defined by the U.S. Drought Monitor, for the first time since August 2010 due to extended periods of heavy rainfall (U.S. Drought Monitor, 2013). According to the Office of the State Climatologist, the city of Savannah recorded 9.75 inches of rain in February 2013, the highest monthly total in February out of 143 years of record. Macon and Columbus also received record rainfalls in February 2013. Above-normal precipitation continued in June 2013, and the cities of Augusta and Savannah recorded the wettest June on record. In July, precipitation for the entire State of Georgia was 3.53 inches above normal (Dunkley, 2013). Above-normal rainfall from February to September 2013 increased streamflow and raised groundwater levels, and lakes and reservoirs were raised to full-pool elevations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153024","usgsCitation":"Knaak, A.E., Caslow, K., and Peck, M., 2015, Return to normal streamflows and water levels: summary of hydrologic conditions in Georgia, 2013: U.S. Geological Survey Fact Sheet 2015-3024, 8 p., https://doi.org/10.3133/fs20153024.","productDescription":"8 p.","numberOfPages":"5","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2013-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-061982","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":299018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20153024.jpg"},{"id":299016,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2015/3024/"},{"id":299017,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3024/pdf/fs2015-3024.pdf","size":"5.65 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Georgia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.60546875,\n 35.0120020431607\n ],\n [\n -83.07861328125,\n 35.0120020431607\n ],\n [\n -83.3203125,\n 34.70549341022544\n ],\n [\n -82.85888671875,\n 34.50655662164561\n ],\n [\n -82.1337890625,\n 33.669496972795535\n ],\n [\n -81.4306640625,\n 32.99023555965106\n ],\n [\n -80.9912109375,\n 32.008075959291055\n ],\n [\n -81.474609375,\n 30.619004797647808\n ],\n [\n -81.9580078125,\n 30.78903675126116\n ],\n [\n -82.0458984375,\n 30.315987718557867\n ],\n [\n -82.2216796875,\n 30.315987718557867\n ],\n [\n -82.30957031249999,\n 30.543338954230222\n ],\n [\n -84.90234375,\n 30.694611546632302\n ],\n [\n -85.14404296875,\n 31.203404950917395\n ],\n [\n -85.14404296875,\n 31.522361470421437\n ],\n [\n -85.23193359375,\n 31.82156451492074\n ],\n [\n -85.05615234375,\n 32.342841356393045\n ],\n [\n -85.60546875,\n 35.0120020431607\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5516711ce4b0323842781ade","contributors":{"authors":[{"text":"Knaak, Andrew E. 0000-0003-1813-8959 aknaak@usgs.gov","orcid":"https://orcid.org/0000-0003-1813-8959","contributorId":3123,"corporation":false,"usgs":true,"family":"Knaak","given":"Andrew","email":"aknaak@usgs.gov","middleInitial":"E.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542431,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caslow, Kerry","contributorId":139935,"corporation":false,"usgs":true,"family":"Caslow","given":"Kerry","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":543498,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peck, Michael F. mfpeck@usgs.gov","contributorId":1467,"corporation":false,"usgs":true,"family":"Peck","given":"Michael F.","email":"mfpeck@usgs.gov","affiliations":[],"preferred":false,"id":543499,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70144282,"text":"70144282 - 2015 - Long-term controls of soil organic carbon with depth and time: a case study from the Cowlitz River Chronosequence, WA USA","interactions":[],"lastModifiedDate":"2015-03-27T08:53:51","indexId":"70144282","displayToPublicDate":"2015-03-27T08:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1760,"text":"Geoderma","active":true,"publicationSubtype":{"id":10}},"title":"Long-term controls of soil organic carbon with depth and time: a case study from the Cowlitz River Chronosequence, WA USA","docAbstract":"Over timescales of soil development (millennia), the capacity of soils to stabilize soil organic carbon (SOC) is linked to soil development through changes in soil mineralogy and other soil properties. In this study, an extensive dataset of soil profile chemistry and mineralogy is compiled from the Cowlitz River Chronosequence (CRC), WA USA. The CRC soils range in age from 0.25 to 1200 kyr, spanning a developmental gradient encompassing clear changes in soil mineralogy, chemistry, and surface area. Comparison of these and other metrics of soil development with SOC properties reveal several relationships that may be diagnostic of the long-term coupling of soil development and C cycling. Specifically, SOC content was significantly correlated with sodium pyrophosphate extractable metals emphasizing the relevance of organo-metal complexes in volcanic soils. The depth distributions of organo-metals and other secondary weathering products, including the kaolin and short-range order (SRO) minerals, support the so-called “binary composition” of volcanic soils. The formation of organo-metal complexes limits the accumulation of secondary minerals in shallow soils, whereas in deep soils with lower SOC content, secondary minerals accumulate. In the CRC soils, secondary minerals formed in deep soils (below 50 cm) including smectite, allophane, Fe-oxides and dominated by the kaolin mineral halloysite. The abundance of halloysite was significantly correlated with bulk soil surface area and 14C content (a proxy for the mean age of SOC), implying enhanced stability of C in deep soils. Allophane, an SRO mineral commonly associated with SOC storage, was not correlated with SOC content or 14C values in CRC soils. We propose conceptual framework to describe these observations based on a general understanding of pedogenesis in volcanic soils, where SOC cycling is coupled with soil development through the formation of and fate of organo-metal or other mobile weathering products. This framework highlights interactions between SOC and soil development, which may be applicable to other soils where organic inputs interact with the products of chemical weathering.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geoderma.2015.02.005","usgsCitation":"Lawrence, C., Harden, J.W., Xu, X., Schulz, M., and Trumbore, S., 2015, Long-term controls of soil organic carbon with depth and time: a case study from the Cowlitz River Chronosequence, WA USA: Geoderma, v. 247-248, p. 73-87, https://doi.org/10.1016/j.geoderma.2015.02.005.","productDescription":"15 p.","startPage":"73","endPage":"87","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-057605","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":472188,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geoderma.2015.02.005","text":"Publisher Index Page"},{"id":299019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Cowlitz River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.947998046875,\n 46.372990544913755\n ],\n [\n -122.947998046875,\n 46.60699758458517\n ],\n [\n -122.46116638183594,\n 46.60699758458517\n ],\n [\n -122.46116638183594,\n 46.372990544913755\n ],\n [\n -122.947998046875,\n 46.372990544913755\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"247-248","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5516711ae4b0323842781ad6","contributors":{"authors":[{"text":"Lawrence, Corey R. clawrence@usgs.gov","contributorId":139914,"corporation":false,"usgs":true,"family":"Lawrence","given":"Corey R.","email":"clawrence@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":543433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":543434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xu, Xiaomei","contributorId":139915,"corporation":false,"usgs":false,"family":"Xu","given":"Xiaomei","email":"","affiliations":[{"id":13312,"text":"University of California-Irvine","active":true,"usgs":false}],"preferred":false,"id":543435,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schulz, Marjorie S. 0000-0001-5597-6447 mschulz@usgs.gov","orcid":"https://orcid.org/0000-0001-5597-6447","contributorId":3720,"corporation":false,"usgs":true,"family":"Schulz","given":"Marjorie S.","email":"mschulz@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":543436,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trumbore, Susan E. 0000-0003-3885-6202","orcid":"https://orcid.org/0000-0003-3885-6202","contributorId":139916,"corporation":false,"usgs":false,"family":"Trumbore","given":"Susan E.","affiliations":[{"id":13313,"text":"Max Planck Institute of Biogeochemistry","active":true,"usgs":false}],"preferred":false,"id":543437,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70173415,"text":"70173415 - 2015 - Upstream dispersal of an invasive crayfish aided by a fish passage facility","interactions":[],"lastModifiedDate":"2016-08-17T12:12:57","indexId":"70173415","displayToPublicDate":"2015-03-27T07:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Upstream dispersal of an invasive crayfish aided by a fish passage facility","docAbstract":"Fish passage facilities for reservoir dams have been used to restore habitat connectivity within riverine networks by allowing upstream passage for native species. These facilities may also support the spread of invasive species, an unintended consequence and potential downside of upstream passage structures. We documented dam passage of the invasive virile crayfish, Orconectes virilis (Hagen, 1870), at fish ladders designed for upstream passage of American eels, Anguilla rostrata (Lesueur, 1817), in the Shenandoah River drainage, USA. Ladder use and upstream passage of 11 virile crayfish occurred from 2007–2014 during periods of low river discharge (<30 m3s–1) and within a wide range of water temperatures from 9.0–28.6 °C. Virile crayfish that used the eel ladders were large adults with a mean carapace length and width of 48.0 mm and 24.1 mm, respectively. Our data demonstrated the use of species-specific fish ladders by a non-target non-native species, which has conservation and management implications for the spread of aquatic invasive species and upstream passage facilities. Specifically, managers should consider implementing long-term monitoring of fish passage facilities with emphasis on detection of invasive species, as well as methods to reduce or eliminate passage of invasive species.
\nAn intriguing recent result from mathematics is that a population diffusing at an intermediate rate in an environment in which resources vary spatially will reach a higher total equilibrium biomass than the population in an environment in which the same total resources are distributed homogeneously. We extended the current mathematical theory to apply to logistic growth and also showed that the result applies to patchy systems with dispersal among patches, both for continuous and discrete time. This allowed us to make specific predictions, through simulations, concerning the biomass dynamics, which were verified by a laboratory experiment. The experiment was a study of biomass growth of duckweed (Lemna minor Linn.), where the resources (nutrients added to water) were distributed homogeneously among a discrete series of water-filled containers in one treatment, and distributed heterogeneously in another treatment. The experimental results showed that total biomass peaked at an intermediate, relatively low, diffusion rate, higher than the total carrying capacity of the system and agreeing with the simulation model. The implications of the experiment to dynamics of source, sink, and pseudo-sink dynamics are discussed.
","language":"English","publisher":"Elselvier","doi":"10.1016/j.mbs.2015.03.005","usgsCitation":"Zhang, B., Liu, X., DeAngelis, D., Ni, W., and Wang, G., 2015, Effects of dispersal on total biomass in a patchy, heterogeneous system: Analysis and experiment: Mathematical Biosciences, v. 264, p. 54-62, https://doi.org/10.1016/j.mbs.2015.03.005.","productDescription":"9 p.","startPage":"54","endPage":"62","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055410","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":306837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"264","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d45730e4b0518e354694bc","contributors":{"authors":[{"text":"Zhang, Bo","contributorId":146526,"corporation":false,"usgs":false,"family":"Zhang","given":"Bo","email":"","affiliations":[{"id":16714,"text":"Dept. of Biology, University of Miami","active":true,"usgs":false}],"preferred":false,"id":568116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Xin","contributorId":146527,"corporation":false,"usgs":false,"family":"Liu","given":"Xin","email":"","affiliations":[{"id":16715,"text":"Nanjing Forestry University, Nanjing, China","active":true,"usgs":false}],"preferred":false,"id":568117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":138934,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","email":"don_deangelis@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":568115,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ni, Wei-Ming","contributorId":146528,"corporation":false,"usgs":false,"family":"Ni","given":"Wei-Ming","email":"","affiliations":[{"id":16716,"text":"University of Minnesota : East China Normal University","active":true,"usgs":false}],"preferred":false,"id":568118,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, G Geoff","contributorId":146529,"corporation":false,"usgs":false,"family":"Wang","given":"G Geoff","affiliations":[{"id":16717,"text":"Dept. of Forestry and Natural Resources, Clemson University","active":true,"usgs":false}],"preferred":false,"id":568119,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70144077,"text":"70144077 - 2015 - Status of Pelagic Prey Fishes in Lake Michigan, 2014","interactions":[],"lastModifiedDate":"2015-12-07T15:16:33","indexId":"70144077","displayToPublicDate":"2015-03-27T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Status of Pelagic Prey Fishes in Lake Michigan, 2014","docAbstract":"Acoustic surveys were conducted in late summer/early fall during the years 1992-1996 and 2001-2014 to estimate pelagic prey fish biomass in Lake Michigan. Midwater trawling during the surveys as well as target strength provided a measure of species and size composition of the fish community for use in scaling acoustic data and providing species-specific abundance estimates. The 2014 survey consisted of 27 acoustic transects (603 km total) and 31 midwater trawl tows. Four additional transects were sampled in Green Bay but were not included in lakewide estimates. Mean prey fish biomass was 6.5 kg/ha [31.7 kilotonnes (kt = 1,000 metric tons)], equivalent to 69.9 million pounds, which was similar to the estimate in 2013 (29.6 kt) and 25% of the long-term (19 years) mean. The numeric density of the 2014 alewife year-class was 3% of the time series average and was the lowest observed in the 19 years of sampling. This year-class contributed <1% of total alewife biomass (4.6 kg/ha). Alewife ≥age-1 comprised 99.5% of alewife biomass. Numeric density of alewife in Green Bay was more than three times that of the main lake. In 2014, alewife comprised 71% of total prey fish biomass, while rainbow smelt and bloater were 1% and 28% of total biomass, respectively. Rainbow smelt biomass in 2014 (0.08 kg/ha) was 66% lower than in 2013, 2% of the long-term mean, and lower than in any previous year. Bloater biomass in 2014 was 1.8 kg/ha, nearly three times more than the 2013 biomass, and 20% of the long-term mean. Mean density of small bloater in 2014 (122 fish/ha) was lower than peak values observed in 2007-2009 but was similar to the time series mean (124 fish/ha). In 2014, pelagic prey fish biomass in Lake Michigan was 71% of that in Lake Huron (all basins), where the community is dominated by bloater.
","language":"English","publisher":"USGS, Great Lake Science Center","collaboration":"Michigan Department of Natural Resources, US Fish and Wildlife Service, Great Lakes Fishery Commission","usgsCitation":"Warner, D.M., Farha, S.A., Claramunt, R., Hanson, D., and O’Brien, T.P., 2015, Status of Pelagic Prey Fishes in Lake Michigan, 2014, 11 p.","productDescription":"11 p.","startPage":"49","endPage":"59","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063602","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":312023,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Wisconsin, Indiana, and Illinois","otherGeospatial":"Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.78149414062499,\n 45.95878764035642\n ],\n [\n -85.40771484375,\n 46.14939437647686\n ],\n [\n -86.19873046875,\n 45.99696161820381\n ],\n [\n -86.693115234375,\n 45.90529985724796\n ],\n [\n -87.07763671875,\n 45.96642454131025\n ],\n [\n -88.22021484375,\n 44.653024159812\n ],\n [\n -87.91259765625,\n 44.38669150215206\n ],\n [\n -87.593994140625,\n 44.41808794374849\n ],\n [\n -87.945556640625,\n 43.492782808225\n ],\n [\n -87.923583984375,\n 42.52879629320373\n ],\n [\n -87.71484375,\n 41.85319643776675\n ],\n [\n -87.3193359375,\n 41.48389104267175\n ],\n [\n -86.36352539062499,\n 41.91045347666418\n ],\n [\n -86.033935546875,\n 42.88401467044253\n ],\n [\n -86.275634765625,\n 43.58834891179792\n ],\n [\n -86.2646484375,\n 44.071800467511565\n ],\n [\n -85.869140625,\n 44.653024159812\n ],\n [\n -85.36376953125,\n 44.74673324024678\n ],\n [\n -85.352783203125,\n 45.166547157856016\n ],\n [\n -85.166015625,\n 45.31352900692261\n ],\n [\n -84.847412109375,\n 45.359865333959746\n ],\n [\n -84.74853515625,\n 45.48324350868221\n ],\n [\n -84.72656249999999,\n 45.91294412737392\n ],\n [\n -84.78149414062499,\n 45.95878764035642\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5666bbf3e4b06a3ea36c8b4e","contributors":{"authors":[{"text":"Warner, David M. 0000-0003-4939-5368 dmwarner@usgs.gov","orcid":"https://orcid.org/0000-0003-4939-5368","contributorId":2986,"corporation":false,"usgs":true,"family":"Warner","given":"David","email":"dmwarner@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":543283,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farha, Steven A.","contributorId":79026,"corporation":false,"usgs":true,"family":"Farha","given":"Steven","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":581493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Claramunt, Randall M.","contributorId":19047,"corporation":false,"usgs":true,"family":"Claramunt","given":"Randall M.","affiliations":[],"preferred":false,"id":581494,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanson, Dale","contributorId":43676,"corporation":false,"usgs":true,"family":"Hanson","given":"Dale","affiliations":[],"preferred":false,"id":581495,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Brien, Timothy P. 0000-0003-4502-5204 tiobrien@usgs.gov","orcid":"https://orcid.org/0000-0003-4502-5204","contributorId":2662,"corporation":false,"usgs":true,"family":"O’Brien","given":"Timothy","email":"tiobrien@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":581496,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70148372,"text":"70148372 - 2015 - Comment on Spracklandus Hoser, 2009 (Reptilia, Serpentes, ELAPIDAE): request for confirmation of availability of the generic name and for the nomenclatural validation of the journal in which it was published (Case 3601; BZN 70:234–237; 71:30–38; 133-135,181-182 ,252-253)","interactions":[],"lastModifiedDate":"2015-09-09T12:29:01","indexId":"70148372","displayToPublicDate":"2015-03-26T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1110,"text":"Bulletin of Zoological Nomenclature","active":true,"publicationSubtype":{"id":10}},"title":"Comment on Spracklandus Hoser, 2009 (Reptilia, Serpentes, ELAPIDAE): request for confirmation of availability of the generic name and for the nomenclatural validation of the journal in which it was published (Case 3601; BZN 70:234–237; 71:30–38; 133-135,181-182 ,252-253)","docAbstract":"In Case 3601 Raymond Hoser has asked the Commission to validate for the purposes of nomenclature the name Spracklandus Hoser, 2009, and ‘the journal in which it was published,’ issue 7 of the Australasian Journal of Herpetology (AJH). We note that the entire run of AJH has been written, edited, and published solely by Hoser. Although his requests to the Commission were presented as narrow and, in his words, ‘routine matters,’ we are convinced that they represent an important tipping-point with broad implications of major concern for zoological taxonomy and nomenclature as a whole and, by extension, the greater scientific community. Since Hoser’s actions and works have failed to follow scientific best practices (e.g. Turtle Taxonomy Working Group, 2007, 2014; Kaiser et al., 2013; Kaiser, 2014) and both the Commission’s general Recommendations and Code of Ethics in Appendix A, the global herpetological community has widely rejected his taxonomic decisions and resultant nomenclature. This has unfortunately caused a confusing dual nomenclature to develop in the herpetological community, with most boycotting or ignoring Hoser’s 700+ new names coined in the AJH, while he and a few personal followers actively promote their usage. We believe that suppression of the name Spracklandus, and all issues of AJH, is the only effective way to bring this contentious and confusing issue to resolution. The plenary power available under Article 81.1 of the Code exist specifically to allow the Commission to make rulings in individual cases that disturb stability and cause confusion, whether the works are Code-compliant or not. We maintain that it is in the interest of nomenclatural stability, not only for herpetology, but for all of zoological taxonomy, that the plenary power be invoked to declare the works in AJH unavailable, regardless of any narrow interpretation of their technical Code-compliance. We present our arguments for rejection of the validity of AJH in the following commentary. In view of the wide-reaching implications of this case for all of zoology, and reflecting the deep and broad-based community concern over these issues, our contributing authors include 70 global scientific leaders and accomplished amateurs from a wide variety of zoological disciplines.
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