{"pageNumber":"1451","pageRowStart":"36250","pageSize":"25","recordCount":184660,"records":[{"id":70048951,"text":"ofr20131176 - 2013 - Accuracy of the Missouri River Least Tern and Piping Plover Monitoring Program: considerations for the future","interactions":[],"lastModifiedDate":"2018-01-05T11:14:54","indexId":"ofr20131176","displayToPublicDate":"2013-12-02T16:14:00","publicationYear":"2013","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":"2013-1176","title":"Accuracy of the Missouri River Least Tern and Piping Plover Monitoring Program: considerations for the future","docAbstract":"The upper Missouri River system provides nesting and foraging habitat for federally endangered least terns (Sternula antillarum; hereafter “terns”) and threatened piping plovers (Charadrius melodus; hereafter “plovers”). These species are the subject of substantial management interest on the Missouri River for several reasons. First, ecosystem recovery is a goal for management agencies that seek to maintain or restore natural functions and native biological communities for the Missouri River system. Terns and plovers are recognized as important ecosystem components that are linked with the river’s ecological functions. Second, although both species breed beyond the Missouri River system, the Missouri River is one of the principal breeding areas in the Northern Great Plains; thus, the river system is a focal area for recovery actions targeted at regional population goals. Third, a Biological Opinion for Missouri River operations established annual productivity goals for terns and plovers, and the recovery plan for each species established annual population goals. Meeting these goals is a key motivation in management decision making and implementation with regard to both species. A myriad of conservation and management interests necessitate understanding numbers, distribution, and productivity of terns and plovers on the Missouri River system. To this end, a Tern and Plover Monitoring Program (TPMP) was implemented by the U.S. Army Corps of Engineers (hereafter “Corps”) in 1986, and has since provided annual estimates of tern and plover numbers and productivity for five Missouri River reservoirs and four river reaches (U.S. Army Corps of Engineers, 1993). The TPMP has served as the primary source of information about the status of terns and plovers on the Missouri River, and TPMP data have been used for a wide variety of purposes. In 2005, the U.S. Geological Survey (USGS) Northern Prairie Wildlife Research Center (NPWRC) was tasked by the Corps to evaluate the accuracy of the TPMP and provide guidance on revising the program to assess tern and plover numbers and reproductive success. Accordingly, NPWRC studied terns and plovers on two river reaches and one reservoir (hereafter “the evaluation”), and used the results of those studies to help understand properties and potential limitations of TPMP data and to provide guidance for TPMP revisions. The purpose of this report is to present an overview and evaluation of the TPMP data, the results of our intensive monitoring, and propose an alternative idea that provides a framework for making decisions about how to monitor terns and plovers.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131176","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Shaffer, T.L., Sherfy, M.H., Anteau, M.J., Stucker, J.H., Sovada, M.A., Roche, E.A., Wiltermuth, M.T., Buhl, T.K., and Dovichin, C.M., 2013, Accuracy of the Missouri River Least Tern and Piping Plover Monitoring Program: considerations for the future: U.S. Geological Survey Open-File Report 2013-1176, Report: xi, 74 p.; Downloads Directory, https://doi.org/10.3133/ofr20131176.","productDescription":"Report: xi, 74 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-035195","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":280124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131176.jpg"},{"id":280123,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1176/Downloads/"},{"id":280122,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1176/"},{"id":280121,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1176/pdf/of2013-1176.pdf"}],"projection":"Universal Transverse Mercator projection, Zone 14","country":"United States","state":"Montana;Nebraska;North Dakota;South Dakota","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.6615,42.5571 ], [ -103.6615,48.1368 ], [ -96.7456,48.1368 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Center","active":true,"usgs":true}],"preferred":true,"id":485843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":485848,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stucker, Jennifer H. jstucker@usgs.gov","contributorId":3183,"corporation":false,"usgs":true,"family":"Stucker","given":"Jennifer","email":"jstucker@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":485846,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sovada, Marsha A. msovada@usgs.gov","contributorId":2601,"corporation":false,"usgs":true,"family":"Sovada","given":"Marsha","email":"msovada@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":485845,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roche, Erin A. eroche@usgs.gov","contributorId":5558,"corporation":false,"usgs":true,"family":"Roche","given":"Erin","email":"eroche@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":485851,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wiltermuth, Mark T. 0000-0002-8871-2816 mwiltermuth@usgs.gov","orcid":"https://orcid.org/0000-0002-8871-2816","contributorId":708,"corporation":false,"usgs":true,"family":"Wiltermuth","given":"Mark","email":"mwiltermuth@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":485844,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Buhl, Thomas K. 0000-0001-9909-3419 tbuhl@usgs.gov","orcid":"https://orcid.org/0000-0001-9909-3419","contributorId":3934,"corporation":false,"usgs":true,"family":"Buhl","given":"Thomas","email":"tbuhl@usgs.gov","middleInitial":"K.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":485849,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dovichin, Colin M. 0000-0002-9325-5779 cdovichin@usgs.gov","orcid":"https://orcid.org/0000-0002-9325-5779","contributorId":4505,"corporation":false,"usgs":true,"family":"Dovichin","given":"Colin","email":"cdovichin@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research 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,{"id":70057894,"text":"70057894 - 2013 - Holocene dynamics of the Florida Everglades with respect to climate, dustfall, and tropical storms","interactions":[],"lastModifiedDate":"2013-12-02T16:08:16","indexId":"70057894","displayToPublicDate":"2013-12-02T16:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Holocene dynamics of the Florida Everglades with respect to climate, dustfall, and tropical storms","docAbstract":"Aeolian dust is rarely considered an important source for nutrients in large peatlands, which generally develop in moist regions far from the major centers of dust production. As a result, past studies assumed that the Everglades provides a classic example of an originally oligotrophic, P-limited wetland that was subsequently degraded by anthropogenic activities. However, a multiproxy sedimentary record indicates that changes in atmospheric circulation patterns produced an abrupt shift in the hydrology and dust deposition in the Everglades over the past 4,600 y. A wet climatic period with high loadings of aeolian dust prevailed before 2800 cal BP (calibrated years before present) when vegetation typical of a deep slough dominated the principal drainage outlet of the Everglades. This dust was apparently transported from distant source areas, such as the Sahara Desert, by tropical storms according to its elemental chemistry and mineralogy. A drier climatic regime with a steep decline in dustfall persisted after 2800 cal BP maintaining sawgrass vegetation at the coring site as tree islands developed nearby (and pine forests covered adjacent uplands). The marked decline in dustfall was related to corresponding declines in sedimentary phosphorus, organic nitrogen, and organic carbon, suggesting that a close relationship existed between dustfall, primary production, and possibly, vegetation patterning before the 20th century. The climatic change after 2800 cal BP was probably produced by a shift in the Bermuda High to the southeast, shunting tropical storms to the south of Florida into the Gulf of Mexico.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of the National Academy of Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.1222239110","usgsCitation":"Glaser, P., Hansen, B., Donovan, J., Givnish, T.J., Stricker, C.A., and Volin, J.C., 2013, Holocene dynamics of the Florida Everglades with respect to climate, dustfall, and tropical storms: Proceedings of the National Academy of Sciences, v. 110, no. 43, p. 17211-17216, https://doi.org/10.1073/pnas.1222239110.","productDescription":"6 p.","startPage":"17211","endPage":"17216","numberOfPages":"6","ipdsId":"IP-051057","costCenters":[],"links":[{"id":473406,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1222239110","text":"External Repository"},{"id":280120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280105,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1073/pnas.1222239110"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.4838,25.1137 ], [ -81.4838,26.7819 ], [ -80.2723,26.7819 ], [ -80.2723,25.1137 ], [ -81.4838,25.1137 ] ] ] } } ] }","volume":"110","issue":"43","noUsgsAuthors":false,"publicationDate":"2013-10-07","publicationStatus":"PW","scienceBaseUri":"529dac17e4b0516126f66b54","contributors":{"authors":[{"text":"Glaser, Paul H.","contributorId":6705,"corporation":false,"usgs":true,"family":"Glaser","given":"Paul H.","affiliations":[],"preferred":false,"id":486933,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Barbara C. S.","contributorId":21026,"corporation":false,"usgs":true,"family":"Hansen","given":"Barbara C. S.","affiliations":[],"preferred":false,"id":486934,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donovan, Joseph J.","contributorId":69056,"corporation":false,"usgs":true,"family":"Donovan","given":"Joseph J.","affiliations":[],"preferred":false,"id":486937,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Givnish, Thomas J.","contributorId":49648,"corporation":false,"usgs":true,"family":"Givnish","given":"Thomas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":486936,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":486932,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Volin, John C.","contributorId":39226,"corporation":false,"usgs":true,"family":"Volin","given":"John","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":486935,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048992,"text":"sim3275 - 2013 - Flood-inundation maps for the DuPage River from Plainfield to Shorewood, Illinois, 2013","interactions":[],"lastModifiedDate":"2013-12-02T15:52:35","indexId":"sim3275","displayToPublicDate":"2013-12-02T15:29:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3275","title":"Flood-inundation maps for the DuPage River from Plainfield to Shorewood, Illinois, 2013","docAbstract":"Digital flood-inundation maps for a 15.5-mi reach of the DuPage River from Plainfield to Shorewood, Illinois, were created by the U.S. Geological Survey (USGS) in cooperation with the Will County Stormwater Management Planning Committee. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/ depict estimates of the areal extent of flooding corresponding to selected water levels (gage heights or stages) at the USGS streamgage at DuPage River at Shorewood, Illinois (sta. no. 05540500). Current conditions at the USGS streamgage may be obtained on the Internet at http://waterdata.usgs.gov/usa/nwis/uv?05540500. In addition, the information has been provided to the National Weather Service (NWS) for incorporation into their Advanced Hydrologic Prediction Service (AHPS) flood warning system (http://water.weather.gov/ahps/). The NWS forecasts flood hydrographs at many places that are often colocated with USGS streamgages. The NWS-forecasted peak-stage information, also shown on the DuPage River at Shorewood inundation Web site, may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. In this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The hydraulic model was then used to determine nine water-surface profiles for flood stages at 1-ft intervals referenced to the streamgage datum and ranging from NWS Action stage of 6 ft to the historic crest of 14.0 ft. The simulated water-surface profiles were then combined with a Digital Elevation Model (DEM) (derived from Light Detection And Ranging (LiDAR) data) by using a Geographic Information System (GIS) in order to delineate the area flooded at each water level. These maps, along with information on the Internet regarding current gage height from USGS streamgages and forecasted stream stages from the NWS, provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for postflood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3275","collaboration":"Prepared in cooperation with the Will County Stormwater Management Planning Committee","usgsCitation":"Murphy, E., and Sharpe, J.B., 2013, Flood-inundation maps for the DuPage River from Plainfield to Shorewood, Illinois, 2013: U.S. Geological Survey Scientific Investigations Map 3275, Pamphlet: vi, 8 p.; Map Sheets: 9 jpg files, 9 PDF files 11 inches x 17 inches; Downloads Directory, https://doi.org/10.3133/sim3275.","productDescription":"Pamphlet: vi, 8 p.; Map Sheets: 9 jpg files, 9 PDF files 11 inches x 17 inches; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-043662","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":280119,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3275.jpg"},{"id":280109,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_mapsheets_pdf/Sheet02stage7_sim3275.pdf"},{"id":280110,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_mapsheets_pdf/Sheet01stage6_sim3275.pdf"},{"id":280107,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3275/"},{"id":280108,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_pamphlet.pdf"},{"id":280111,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_mapsheets_pdf/Sheet03stage8_sim3275.pdf"},{"id":280112,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_mapsheets_pdf/Sheet04stage9_sim3275.pdf"},{"id":280113,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_mapsheets_pdf/Sheet05stage10_sim3275.pdf"},{"id":280114,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_mapsheets_pdf/Sheet06stage11_sim3275.pdf"},{"id":280115,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_mapsheets_pdf/Sheet07stage12_sim3275.pdf"},{"id":280116,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_mapsheets_pdf/Sheet08stage13_sim3275.pdf"},{"id":280117,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3275/pdf/sim3275_mapsheets_pdf/Sheet09stage14_sim3275.pdf"},{"id":280118,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3275/Downloads"}],"country":"United States","state":"Illinois","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.233333,41.516667 ], [ -88.233333,41.700000 ], [ -88.150000,41.700000 ], [ -88.150000,41.516667 ], [ -88.233333,41.516667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"529dac16e4b0516126f66b4b","contributors":{"authors":[{"text":"Murphy, Elizabeth A.","contributorId":69660,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth A.","affiliations":[],"preferred":false,"id":485954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharpe, Jennifer B. 0000-0002-5192-7848 jbsharpe@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-7848","contributorId":2825,"corporation":false,"usgs":true,"family":"Sharpe","given":"Jennifer","email":"jbsharpe@usgs.gov","middleInitial":"B.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485953,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70057876,"text":"70057876 - 2013 - Evidence for high salinity of Early Cretaceous sea water from the Chesapeake Bay crater","interactions":[],"lastModifiedDate":"2013-12-02T14:34:08","indexId":"70057876","displayToPublicDate":"2013-12-02T14:27:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for high salinity of Early Cretaceous sea water from the Chesapeake Bay crater","docAbstract":"High salinity groundwater more than 1000 metres deep in the Atlantic Coastal Plain of the United States has been documented in several locations1,2, most recently within the 35 million-year-old Chesapeake Bay impact crater3,4,5. Suggestions for the origin of increased salinity in the crater have included evaporite dissolution6, osmosis6, and evaporation from heating7 associated with the bolide impact. Here we present chemical, isotopic and physical evidence that together indicate that groundwater in the Chesapeake crater is remnant Early Cretaceous North Atlantic (ECNA) seawater. We find that the seawater is likely 100-145 million years old and that it has an average salinity of about 70 per mil, which is twice that of modern seawater and consistent with the nearly closed ECNA basin8. Previous evidence for temperature and salinity levels of ancient oceans have been estimated indirectly from geochemical, isotopic and paleontological analyses of solid materials in deep sediment cores. In contrast, our study identifies ancient seawater in situ and provides a direct estimate of its age and salinity. Moreover, we suggest that it is likely that remnants of ECNA seawater persist in deep sediments at many locations along the Atlantic margin.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"MacMillan Publishing Limited","doi":"10.1038/nature12714","usgsCitation":"Sanford, W.E., Doughten, M.W., Coplen, T.B., Hunt, A.G., and Bullen, T.D., 2013, Evidence for high salinity of Early Cretaceous sea water from the Chesapeake Bay crater: Nature, v. 503, no. 745, p. 252-256, https://doi.org/10.1038/nature12714.","productDescription":"5 p.","startPage":"252","endPage":"256","numberOfPages":"13","ipdsId":"IP-046198","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":280103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280102,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/nature12714"}],"country":"United States","state":"Maryl;Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.4633,36.9078 ], [ -76.4633,37.9656 ], [ -75.2563,37.9656 ], [ -75.2563,36.9078 ], [ -76.4633,36.9078 ] ] ] } } ] }","volume":"503","issue":"745","noUsgsAuthors":false,"publicationDate":"2013-11-13","publicationStatus":"PW","scienceBaseUri":"529dac15e4b0516126f66b45","contributors":{"authors":[{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":486908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doughten, Michael W. doughten@usgs.gov","contributorId":4717,"corporation":false,"usgs":true,"family":"Doughten","given":"Michael","email":"doughten@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":486909,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":486905,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":486906,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bullen, Thomas D. 0000-0003-2281-1691 tdbullen@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-1691","contributorId":1969,"corporation":false,"usgs":true,"family":"Bullen","given":"Thomas","email":"tdbullen@usgs.gov","middleInitial":"D.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":486907,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70057877,"text":"70057877 - 2013 - Large dams and alluvial rivers in the Anthropocene: The impacts of the Garrison and Oahe Dams on the Upper Missouri River","interactions":[],"lastModifiedDate":"2013-12-02T13:43:58","indexId":"70057877","displayToPublicDate":"2013-12-02T13:27:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":815,"text":"Anthropocene","active":true,"publicationSubtype":{"id":10}},"title":"Large dams and alluvial rivers in the Anthropocene: The impacts of the Garrison and Oahe Dams on the Upper Missouri River","docAbstract":"The Missouri River has had a long history of anthropogenic modification with considerable impacts on river and riparian ecology, form, and function. During the 20th century, several large dam-building efforts in the basin served the needs for irrigation, flood control, navigation, and the generation of hydroelectric power. The managed flow provided a range of uses, including recreation, fisheries, and habitat. Fifteen dams impound the main stem of the river, with hundreds more on tributaries. Though the effects of dams and reservoirs are well-documented, their impacts have been studied individually, with relatively little attention paid to their interaction along a river corridor. We examine the morphological and sedimentological changes in the Upper Missouri River between the Garrison Dam in ND (operational in 1953) and Oahe Dam in SD (operational in 1959). Through historical aerial photography, stream gage data, and cross sectional surveys, we demonstrate that the influence of the upstream dam is still a major control of river dynamics when the backwater effects of the downstream reservoir begin. In the “Anthropocene”, dams are ubiquitous on large rivers and often occur in series, similar to the Garrison Dam Segment. We propose a conceptual model of how interacting dams might affect river geomorphology, resulting in distinct and recognizable morphologic sequences that we term “Inter-Dam sequence” characteristic of major rivers in the US.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Anthropocene","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ancene.2013.10.002","usgsCitation":"Skalak, K., Benthem, A.J., Schenk, E.R., Hupp, C.R., Galloway, J.M., Nustad, R.A., and Wiche, G.J., 2013, Large dams and alluvial rivers in the Anthropocene: The impacts of the Garrison and Oahe Dams on the Upper Missouri River: Anthropocene, v. 2, p. 51-64, https://doi.org/10.1016/j.ancene.2013.10.002.","productDescription":"14 p.","startPage":"51","endPage":"64","numberOfPages":"14","ipdsId":"IP-049280","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":280100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280097,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ancene.2013.10.002"}],"country":"United States","state":"North Dakota;South Dakota;Wyoming","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105.3648,42.4969 ], [ -105.3648,47.5073 ], [ -99.2708,47.5073 ], [ -99.2708,42.4969 ], [ -105.3648,42.4969 ] ] ] } } ] }","volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"529dac18e4b0516126f66b5d","contributors":{"authors":[{"text":"Skalak, Katherine 0000-0003-4122-1240 kskalak@usgs.gov","orcid":"https://orcid.org/0000-0003-4122-1240","contributorId":3990,"corporation":false,"usgs":true,"family":"Skalak","given":"Katherine","email":"kskalak@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":486916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benthem, Adam J. 0000-0003-2372-0281 abenthem@usgs.gov","orcid":"https://orcid.org/0000-0003-2372-0281","contributorId":2740,"corporation":false,"usgs":true,"family":"Benthem","given":"Adam","email":"abenthem@usgs.gov","middleInitial":"J.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":486915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schenk, Edward R. 0000-0001-6886-5754 eschenk@usgs.gov","orcid":"https://orcid.org/0000-0001-6886-5754","contributorId":2183,"corporation":false,"usgs":true,"family":"Schenk","given":"Edward","email":"eschenk@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":486913,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":486914,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Galloway, Joel M. 0000-0002-9836-9724 jgallowa@usgs.gov","orcid":"https://orcid.org/0000-0002-9836-9724","contributorId":1562,"corporation":false,"usgs":true,"family":"Galloway","given":"Joel","email":"jgallowa@usgs.gov","middleInitial":"M.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486910,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nustad, Rochelle A. 0000-0002-4713-5944 ranustad@usgs.gov","orcid":"https://orcid.org/0000-0002-4713-5944","contributorId":1811,"corporation":false,"usgs":true,"family":"Nustad","given":"Rochelle","email":"ranustad@usgs.gov","middleInitial":"A.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486912,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wiche, Gregg J. gjwiche@usgs.gov","contributorId":1675,"corporation":false,"usgs":true,"family":"Wiche","given":"Gregg","email":"gjwiche@usgs.gov","middleInitial":"J.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486911,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70101101,"text":"70101101 - 2013 - Inundation, sedimentation, and subsidence creates goose habitat along the Arctic coast of Alaska","interactions":[],"lastModifiedDate":"2018-06-20T20:27:37","indexId":"70101101","displayToPublicDate":"2013-12-02T13:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Inundation, sedimentation, and subsidence creates goose habitat along the Arctic coast of Alaska","docAbstract":"The Arctic Coastal Plain of Alaska is characterized by thermokarst lakes and drained lake basins, and the rate of coastal erosion has increased during the last half-century. Portions of the coast are <1 m above sea level for kilometers inland, and are underlain by ice-rich permafrost. Increased storm surges or terrestrial subsidence would therefore expand the area subject to marine inundation. Since 1976, the distribution of molting Black Brant (Branta bernicla nigricans) on the Arctic Coastal Plain has shifted from inland freshwater lakes to coastal marshes, such as those occupying the Smith River and Garry Creek estuaries. We hypothesized that the movement of geese from inland lakes was caused by an expansion of high quality goose forage in coastal areas. We examined the recent history of vegetation and geomorphological changes in coastal goose habitat by combining analysis of time series imagery between 1948 and 2010 with soil stratigraphy dated using bomb-curve radiocarbon. Time series of vertical imagery and in situ verification showed permafrost thaw and subsidence of polygonal tundra. Soil stratigraphy and dating within coastal estuaries showed that non-saline vegetation communities were buried by multiple sedimentation episodes between 1948 and 1995, accompanying a shift toward salt-tolerant vegetation. This sedimentation allowed high quality goose forage plants to expand, thus facilitating the shift in goose distribution. Declining sea ice and the increasing rate of terrestrial inundation, sedimentation, and subsidence in coastal estuaries of Alaska may portend a 'tipping point' whereby inland areas would be transformed into salt marshes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Environmental Research Letters","doi":"10.1088/1748-9326/8/4/045031","usgsCitation":"Tape, K., Flint, P.L., Meixell, B.W., and Gaglioti, B.V., 2013, Inundation, sedimentation, and subsidence creates goose habitat along the Arctic coast of Alaska: Environmental Research Letters, v. 8, no. 4, 10 p., https://doi.org/10.1088/1748-9326/8/4/045031.","productDescription":"10 p.","ipdsId":"IP-049029","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":473407,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/8/4/045031","text":"Publisher Index Page"},{"id":286034,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1088/1748-9326/8/4/045031"},{"id":286196,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286035,"type":{"id":15,"text":"Index Page"},"url":"https://iopscience.iop.org/1748-9326/8/4/045031/article?fromSearchPage=true"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.45,51.21 ], [ 172.45,71.39 ], [ -129.99,71.39 ], [ -129.99,51.21 ], [ 172.45,51.21 ] ] ] } } ] }","volume":"8","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-12-16","publicationStatus":"PW","scienceBaseUri":"5355947ce4b0120853e8c02e","contributors":{"authors":[{"text":"Tape, Ken D.","contributorId":103570,"corporation":false,"usgs":true,"family":"Tape","given":"Ken D.","affiliations":[],"preferred":false,"id":492601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":492598,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meixell, Brandt W. 0000-0002-6738-0349 bmeixell@usgs.gov","orcid":"https://orcid.org/0000-0002-6738-0349","contributorId":138716,"corporation":false,"usgs":true,"family":"Meixell","given":"Brandt","email":"bmeixell@usgs.gov","middleInitial":"W.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":492600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gaglioti, Benjamin V. 0000-0003-0591-5253 bgaglioti@usgs.gov","orcid":"https://orcid.org/0000-0003-0591-5253","contributorId":4521,"corporation":false,"usgs":true,"family":"Gaglioti","given":"Benjamin","email":"bgaglioti@usgs.gov","middleInitial":"V.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":492599,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70049058,"text":"ofr20131269 - 2013 - Users, uses, and value of Landsat satellite imagery: results from the 2012 survey of users","interactions":[],"lastModifiedDate":"2013-12-04T08:29:12","indexId":"ofr20131269","displayToPublicDate":"2013-12-02T13:14:00","publicationYear":"2013","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":"2013-1269","title":"Users, uses, and value of Landsat satellite imagery: results from the 2012 survey of users","docAbstract":"Landsat satellites have been operating since 1972, providing a continuous global record of the Earth’s land surface. The imagery is currently available at no cost through the U.S. Geological Survey (USGS). Social scientists at the USGS Fort Collins Science Center conducted an extensive survey in early 2012 to explore who uses Landsat imagery, how they use the imagery, and what the value of the imagery is to them. The survey was sent to all users registered with USGS who had accessed Landsat imagery in the year prior to the survey and over 11,000 current Landsat imagery users responded. The results of the survey revealed that respondents from many sectors use Landsat imagery in myriad project locations and scales, as well as application areas. The value of Landsat imagery to these users was demonstrated by the high importance of and dependence on the imagery, the numerous environmental and societal benefits observed from projects using Landsat imagery, the potential negative impacts on users’ work if Landsat imagery was no longer available, and the substantial aggregated annual economic benefit from the imagery. These results represent only the value of Landsat to users registered with USGS; further research would help to determine what the value of the imagery is to a greater segment of the population, such as downstream users of the imagery and imagery-derived products.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131269","usgsCitation":"Miller, H., Richardson, L.A., Koontz, S.R., Loomis, J., and Koontz, L., 2013, Users, uses, and value of Landsat satellite imagery: results from the 2012 survey of users: U.S. Geological Survey Open-File Report 2013-1269, ix, 51 p., https://doi.org/10.3133/ofr20131269.","productDescription":"ix, 51 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-050650","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":280099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131269.jpg"},{"id":280098,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1269/pdf/of2013-1269.pdf"},{"id":280096,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1269/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"529dac19e4b0516126f66b69","contributors":{"authors":[{"text":"Miller, Holly M. 0000-0003-0914-7570 millerh@usgs.gov","orcid":"https://orcid.org/0000-0003-0914-7570","contributorId":4577,"corporation":false,"usgs":true,"family":"Miller","given":"Holly M.","email":"millerh@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":486071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richardson, Leslie A. lrichardson@usgs.gov","contributorId":4810,"corporation":false,"usgs":true,"family":"Richardson","given":"Leslie","email":"lrichardson@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":486072,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koontz, Stephen R.","contributorId":69272,"corporation":false,"usgs":true,"family":"Koontz","given":"Stephen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":486074,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loomis, John","contributorId":60746,"corporation":false,"usgs":true,"family":"Loomis","given":"John","affiliations":[],"preferred":false,"id":486073,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koontz, Lynne koontzl@usgs.gov","contributorId":2174,"corporation":false,"usgs":false,"family":"Koontz","given":"Lynne","email":"koontzl@usgs.gov","affiliations":[{"id":7016,"text":"Environmental Quality Division, National Park Service, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":486070,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70059780,"text":"70059780 - 2013 - ECALS: Loading studies interim report October 2013","interactions":[],"lastModifiedDate":"2021-06-07T12:00:53.738631","indexId":"70059780","displayToPublicDate":"2013-12-02T11:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"ECALS: Loading studies interim report October 2013","docAbstract":"Here we follow up the loading studies interim report from July 2013 and include results \nfrom laboratory studies assessing the effects of diet on eDNA shedding rates by \nbigheaded carps(silver and bighead carp). In order to understand how eDNA behavesin \nthe environment, we must understand how it enters the system. In our July interim \nreport, we addressed three of our four hypotheses that could influence the shedding \nrate of eDNA by these fish (Table 1; hypotheses A, B and D). We now provide results \nfrom studies that tested the fourth hypothesis (C), cellular debris from the gut-lining \nshed via excrementis a major source of shed eDNA.","language":"English","publisher":"Asian Carp Regional Coordinating Committee","usgsCitation":"Klymus, K., Richter, C., Chapman, D., and Paukert, C.P., 2013, ECALS: Loading studies interim report October 2013, 11 p.","productDescription":"11 p.","numberOfPages":"11","ipdsId":"IP-052631","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":280814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280538,"type":{"id":15,"text":"Index Page"},"url":"https://www.asiancarp.us/ecals.html"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd55fae4b0b290850f6a3b","contributors":{"authors":[{"text":"Klymus, Katy","contributorId":61743,"corporation":false,"usgs":true,"family":"Klymus","given":"Katy","affiliations":[],"preferred":false,"id":487815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richter, Cathy","contributorId":22239,"corporation":false,"usgs":true,"family":"Richter","given":"Cathy","email":"","affiliations":[],"preferred":false,"id":487813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chapman, Duane","contributorId":54105,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","affiliations":[],"preferred":false,"id":487814,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":879,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":487812,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70057869,"text":"70057869 - 2013 - Mercury in gray wolves (Canis lupus) in Alaska: Increased exposure through consumption of marine prey","interactions":[],"lastModifiedDate":"2013-12-02T14:21:01","indexId":"70057869","displayToPublicDate":"2013-12-02T09:08:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Mercury in gray wolves (Canis lupus) in Alaska: Increased exposure through consumption of marine prey","docAbstract":"Mercury (Hg) bioaccumulates in the tissues of organismsand biomagnifies within food-webs. Graywolves (Canis lupus) in Alaska primarily acquire Hg through diet; therefore, comparing the extent of Hg exposure inwolves, in conjunction with stable isotopes, from interior and coastal regions of  Alaska offers important insight into their feeding ecology. Liver, kidney, and skeletal muscle samples from 162 graywolves were analyzed for total mercury (THg) concentrations and stable isotopic signatures (δ<sup>13</sup>C, δ<sup>15</sup>N, and δ<sup>34</sup>S).Median hepatic THg concentrations were significantly higher in wolves with coastal access compared to wolves from interior Alaska. Stable isotope ratios, in conjunction with THg concentrations, provide strong evidence that coastal wolves are utilizing marine prey representing several trophic levels. The utilization of cross-ecosystem food resources by coastal wolves is clearly contributing to increased THg exposure, and may ultimately have negative health implications for these animals.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.08.045","usgsCitation":"McGrew, A.K., Ballweber, L.R., Moses, S.K., Stricker, C.A., Beckmen, K.B., Salman, M.D., and O’Hara, T.M., 2013, Mercury in gray wolves (Canis lupus) in Alaska: Increased exposure through consumption of marine prey: Science of the Total Environment, v. 468-469, p. 609-613, https://doi.org/10.1016/j.scitotenv.2013.08.045.","productDescription":"5 p.","startPage":"609","endPage":"613","numberOfPages":"5","ipdsId":"IP-051099","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":473408,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://doi.org/10.1016/j.scitotenv.2013.08.045","text":"External Repository"},{"id":279975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279869,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.08.045"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.45,51.21 ], [ 172.45,71.39 ], [ -129.99,71.39 ], [ -129.99,51.21 ], [ 172.45,51.21 ] ] ] } } ] }","volume":"468-469","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"529dac18e4b0516126f66b62","contributors":{"authors":[{"text":"McGrew, Ashley K.","contributorId":64149,"corporation":false,"usgs":true,"family":"McGrew","given":"Ashley","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":486885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ballweber, Lora R.","contributorId":30537,"corporation":false,"usgs":true,"family":"Ballweber","given":"Lora","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":486881,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moses, Sara K.","contributorId":32075,"corporation":false,"usgs":true,"family":"Moses","given":"Sara","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":486882,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":486879,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beckmen, Kimberlee B.","contributorId":12770,"corporation":false,"usgs":true,"family":"Beckmen","given":"Kimberlee","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":486880,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Salman, Mo D.","contributorId":39283,"corporation":false,"usgs":true,"family":"Salman","given":"Mo","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":486883,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O’Hara, Todd M.","contributorId":48861,"corporation":false,"usgs":true,"family":"O’Hara","given":"Todd","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":486884,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70131502,"text":"70131502 - 2013 - Response of Yellowstone grizzly bears to changes in food resources:  A synthesis.  Final report to the Interagency Grizzly Bear Committee and Yellowstone Ecosystem Subcommittee","interactions":[],"lastModifiedDate":"2018-03-19T10:07:07","indexId":"70131502","displayToPublicDate":"2013-12-02T01:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Response of Yellowstone grizzly bears to changes in food resources:  A synthesis.  Final report to the Interagency Grizzly Bear Committee and Yellowstone Ecosystem Subcommittee","docAbstract":"<p>The Yellowstone grizzly bear (<i>Ursus arctos</i>) was listed as a threatened species in 1975 (Federal Register 40 FR:31734-31736). Since listing, recovery efforts have focused on increasing population size, improving habitat security, managing bear mortalities, and reducing bear-human conflicts. The Interagency Grizzly Bear Committee (IGBC; partnership of federal and state agencies responsible for grizzly bear recovery in the lower 48 states) and its Yellowstone Ecosystem Subcommitte (YES; federal, state, county, and tribal partners charged with recovery of grizzly bears in the Greater Yelowston Ecosystem [GYE]) tasked the Interagency Grizzly Bear Study Team to provide information and further research relevant to three concerns&nbsp;arising from the 9th Circuit Court of Appeals November 2011 decision: 1) the ability of grizzly bears as omnivores to find alternative foods to whitebark pine seeds; 2) literature to support their conclusions; and 3) the non-intuitive biological reality that impacts can occur to individuals without causing the overall population to decline. Specifically, the IGBC and YES requested a comprehensive synthesis of the current state of knowledge regarding whitebark pinbe decline and individual and population-level responses of grizzly bears to changing food resources in the GYE. This research was particularly relevant to grizzly bear conservation given changes in the population trajectory observed during the last decade.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"Interagency Grizzly Bear Study Team, van Manen, F.T., Costello, C., Haroldson, M.A., Bjornlie, D., Ebinger, M.R., Gunther, K.A., Mahalovich, M.F., Thompson, D.J., Higgs, M.D., Irvine, K.M., Legg, K., Tyers, D.B., Landenburger, L., Cain, S.L., Frey, K.L., Aber, B.C., and Schwartz, C.C., 2013, Response of Yellowstone grizzly bears to changes in food resources:  A synthesis.  Final report to the Interagency Grizzly Bear Committee and Yellowstone Ecosystem Subcommittee, iii, 54 p.","productDescription":"iii, 54 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052738","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":319899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":319897,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://prd-wret.s3-us-west-2.amazonaws.com/assets/palladium/production/s3fs-public/atoms/files/IGBST_FoodSynReport120213_0.pdf","text":"Report","size":"1.54 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        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,{"id":70126224,"text":"70126224 - 2013 - Intraseasonal variation in survival and probable causes of mortality in greater sage-grouse <i>Centrocercus urophasianus</i>","interactions":[],"lastModifiedDate":"2014-09-19T18:15:05","indexId":"70126224","displayToPublicDate":"2013-12-01T18:11:53","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"title":"Intraseasonal variation in survival and probable causes of mortality in greater sage-grouse <i>Centrocercus urophasianus</i>","docAbstract":"The mortality process is a key component of avian population dynamics, and understanding factors that affect mortality is central to grouse conservation. Populations of greater sage-grouse <i>Centrocercus urophasianus</i> have declined across their range in western North America. We studied cause-specific mortality of radio-marked sage-grouse in Eureka County, Nevada, USA, during two seasons, nesting (2008-2012) and fall (2008-2010), when survival was known to be lower compared to other times of the year. We used known-fate and cumulative incidence function models to estimate weekly survival rates and cumulative risk of cause-specific mortalities, respectively. These methods allowed us to account for temporal variation in sample size and staggered entry of marked individuals into the sample to obtain robust estimates of survival and cause-specific mortality. We monitored 376 individual sage-grouse during the course of our study, and investigated 87 deaths. Predation was the major source of mortality, and accounted for 90% of all mortalities during our study. During the nesting season (1 April - 31 May), the cumulative risk of predation by raptors (0.10; 95% CI: 0.05-0.16) and mammals (0.08; 95% CI: 0.03-013) was relatively equal. In the fall (15 August - 31 October), the cumulative risk of mammal predation was greater (M<sub>(mam)</sub> = 0.12; 95% CI: 0.04-0.19) than either predation by raptors (M<sub>(rap)</sub> = 0.05; 95% CI: 0.00-0.10) or hunting harvest (M<sub>(hunt)</sub> = 0.02; 95% CI: 0.0-0.06). During both seasons, we observed relatively few additional sources of mortality (e.g. collision) and observed no evidence of disease-related mortality (e.g. West Nile Virus). In general, we found little evidence for intraseasonal temporal variation in survival, suggesting that the nesting and fall seasons represent biologically meaningful time intervals with respect to sage-grouse survival.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wildlife Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nordic Board for Wildlife Research","doi":"10.2981/13-001","usgsCitation":"Blomberg, E.J., Gibson, D., Sedinger, J.S., Casazza, M.L., and Coates, P.S., 2013, Intraseasonal variation in survival and probable causes of mortality in greater sage-grouse <i>Centrocercus urophasianus</i>: Wildlife Biology, v. 19, no. 4, p. 347-357, https://doi.org/10.2981/13-001.","productDescription":"11 p.","startPage":"347","endPage":"357","numberOfPages":"11","ipdsId":"IP-042803","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":473409,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2981/13-001","text":"Publisher Index Page"},{"id":294257,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294256,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2981/13-001"}],"country":"United States","state":"Nevada","county":"Eureka County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.601,39.1612 ], [ -116.601,41.0004 ], [ -115.7949,41.0004 ], [ -115.7949,39.1612 ], [ -116.601,39.1612 ] ] ] } } ] }","volume":"19","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"541d459de4b0f68901ec30b2","contributors":{"authors":[{"text":"Blomberg, Erik J.","contributorId":17543,"corporation":false,"usgs":false,"family":"Blomberg","given":"Erik","email":"","middleInitial":"J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":501961,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gibson, Daniel","contributorId":94984,"corporation":false,"usgs":false,"family":"Gibson","given":"Daniel","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":501963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sedinger, James S.","contributorId":84861,"corporation":false,"usgs":false,"family":"Sedinger","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":501962,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501959,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501960,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046031,"text":"70046031 - 2013 - Rodent-Mediated Interactions Among Seed Species of Differing Quality in a Shrubsteppe Ecosystem","interactions":[],"lastModifiedDate":"2014-03-11T15:38:14","indexId":"70046031","displayToPublicDate":"2013-12-01T15:34:04","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Rodent-Mediated Interactions Among Seed Species of Differing Quality in a Shrubsteppe Ecosystem","docAbstract":"Interactions among seeds, mediated by granivorous rodents, are likely to play a strong role in shrubsteppe ecosystem restoration. Past studies typically consider only pairwise interactions between preferred and less preferred seed species, whereas rangeland seedings are likely to contain more than 2 seed species, potentially leading to complex interactions. We examined how the relative proportion of seeds in a 3-species polyculture changes rodent seed selectivity (i.e., removal) and indirect interactions among seeds. We presented 2 rodent species, Peromyscus maniculatus (deer mice) and Perognathus parvus (pocket mice), in arenas with 3-species seed mixtures that varied in the proportion of a highly preferred, moderately preferred, and least preferred seed species, based on preferences determined in this study. We then conducted a field experiment in a pocket mouse—dominated ecosystem with the same 3-species seed mixtures in both “treated” (reduced shrub and increased forb cover) and “untreated” shrubsteppe. In the arena experiment, we found that rodents removed more of the highly preferred seed when the proportions of all 3 seeds were equal. Moderately preferred seeds experienced increased removal when the least preferred seed was in highest proportion. Removal of the least preferred seed increased when the highly preferred seed was in highest proportion. In the field experiment, results were similar to those from the arena experiment and did not differ between treated and untreated shrubsteppe areas. Though our results suggest that 3-species mixtures induce complex interactions among seeds, managers applying these results to restoration efforts should carefully consider the rodent community present and the potential fate of removed seeds.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Western North American Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"BioOne","doi":"10.3398/064.073.0415","usgsCitation":"Beard, K., Faulhaber, C.A., Howe, F.P., and Edwards, T.C., 2013, Rodent-Mediated Interactions Among Seed Species of Differing Quality in a Shrubsteppe Ecosystem: Western North American Naturalist, v. 73, no. 4, p. 426-441, https://doi.org/10.3398/064.073.0415.","productDescription":"16 p.","startPage":"426","endPage":"441","ipdsId":"IP-034262","costCenters":[{"id":609,"text":"Utah Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":283866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283865,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3398/064.073.0415"}],"country":"United States","state":"Utah","county":"Rich County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.5102,41.1438 ], [ -111.5102,42.0014 ], [ -111.0458,42.0014 ], [ -111.0458,41.1438 ], [ -111.5102,41.1438 ] ] ] } } ] }","volume":"73","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd711fe4b0b290851077a1","contributors":{"authors":[{"text":"Beard, Karen H.","contributorId":14296,"corporation":false,"usgs":true,"family":"Beard","given":"Karen H.","affiliations":[],"preferred":false,"id":478727,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faulhaber, Craig A.","contributorId":48865,"corporation":false,"usgs":true,"family":"Faulhaber","given":"Craig","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":478729,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howe, Frank P.","contributorId":26621,"corporation":false,"usgs":true,"family":"Howe","given":"Frank","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":478728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, Thomas C. Jr. 0000-0002-0773-0909 tce@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-0909","contributorId":2061,"corporation":false,"usgs":true,"family":"Edwards","given":"Thomas","suffix":"Jr.","email":"tce@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":false,"id":478726,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70058049,"text":"70058049 - 2013 - Ground-motion prediction from tremor","interactions":[],"lastModifiedDate":"2014-01-24T09:44:32","indexId":"70058049","displayToPublicDate":"2013-12-01T15:16:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Ground-motion prediction from tremor","docAbstract":"The widespread occurrence of tremor, coupled with its frequency content and location, provides an exceptional opportunity to test and improve strong ground-motion attenuation relations for subduction zones. We characterize the amplitude of thousands of individual 5 min tremor events in Cascadia during three episodic tremor and slip events to constrain the distance decay of peak ground acceleration (PGA) and peak ground velocity (PGV). We determine the anelastic attenuation parameter for ground-motion prediction equations (GMPEs) to a distance of 150 km, which is sufficient to place important constraints on ground-motion decay. Tremor PGA and PGV show a distance decay that is similar to subduction-zone-specific GMPEs developed from both data and simulations; however, the massive amount of data present in the tremor observations should allow us to refine distance-amplitude attenuation relationships for use in hazard maps, and to search for regional variations and intrasubduction zone differences in ground-motion attenuation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/2013GL058506","usgsCitation":"Baltay Sundstrom, A.S., and Beroza, G., 2013, Ground-motion prediction from tremor: Geophysical Research Letters, v. 40, no. 24, p. 6340-6345, https://doi.org/10.1002/2013GL058506.","productDescription":"6 p.","startPage":"6340","endPage":"6345","numberOfPages":"6","ipdsId":"IP-052323","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":280767,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280765,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013GL058506"}],"country":"Canada;United States","state":"British Columbia;Oregon;Washington","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -126.0,46.0 ], [ -126.0,50.0 ], [ -122.0,50.0 ], [ -122.0,46.0 ], [ -126.0,46.0 ] ] ] } } ] }","volume":"40","issue":"24","noUsgsAuthors":false,"publicationDate":"2013-12-26","publicationStatus":"PW","scienceBaseUri":"53cd5f5fe4b0b290850fc47e","contributors":{"authors":[{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":487004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beroza, Gregory C.","contributorId":10713,"corporation":false,"usgs":true,"family":"Beroza","given":"Gregory C.","affiliations":[],"preferred":false,"id":487005,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045587,"text":"70045587 - 2013 - Estuarine environments as rearing habitats for juvenile Coho Salmon in contrasting south-central Alaska watersheds","interactions":[],"lastModifiedDate":"2014-05-05T14:54:45","indexId":"70045587","displayToPublicDate":"2013-12-01T14:44:13","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Estuarine environments as rearing habitats for juvenile Coho Salmon in contrasting south-central Alaska watersheds","docAbstract":"For Pacific salmon, estuaries are typically considered transitional staging areas between freshwater and marine environments, but their potential as rearing habitat has only recently been recognized. The objectives of this study were two-fold: (1) to determine if Coho Salmon Oncorhynchus kisutch were rearing in estuarine habitats, and (2) to characterize and compare the body length, age, condition, and duration and timing of estuarine occupancy of juvenile Coho Salmon between the two contrasting estuaries. We examined use of estuary habitats with analysis of microchemistry and microstructure of sagittal otoliths in two watersheds of south-central Alaska. Juvenile Coho Salmon were classified as estuary residents or nonresidents (recent estuary immigrants) based on otolith Sr : Ca ratios and counts of daily growth increments on otoliths. The estuaries differed in water source (glacial versus snowmelt hydrographs) and in relative estuarine and watershed area. Juvenile Coho Salmon with evidence of estuary rearing were greater in body length and condition than individuals lacking evidence of estuarine rearing. Coho Salmon captured in the glacial estuary had greater variability in body length and condition, and younger age-classes predominated the catch compared with the nearby snowmelt-fed, smaller estuary. Estuary-rearing fish in the glacial estuary arrived later and remained longer (39 versus 24 d of summer growth) during the summer than did fish using the snowmelt estuary. Finally, we observed definitive patterns of overwintering in estuarine and near shore environments in both estuaries. Evidence of estuary rearing and overwintering with differences in fish traits among contrasting estuary types refute the notion that estuaries function as only staging or transitional habitats in the early life history of Coho Salmon.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis Online","doi":"10.1080/00028487.2013.815660","usgsCitation":"Hoem Neher, T.D., Rosenberger, A.E., Zimmerman, C.E., Walker, C.M., and Baird, S.J., 2013, Estuarine environments as rearing habitats for juvenile Coho Salmon in contrasting south-central Alaska watersheds: Transactions of the American Fisheries Society, v. 142, no. 6, p. 1481-1494, https://doi.org/10.1080/00028487.2013.815660.","productDescription":"16 p.","startPage":"1481","endPage":"1494","ipdsId":"IP-045003","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":286897,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2013.815660"},{"id":286902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kenai Peninsula","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -152.09,59.16 ], [ -152.09,60.92 ], [ -148.25,60.92 ], [ -148.25,59.16 ], [ -152.09,59.16 ] ] ] } } ] }","volume":"142","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-09-20","publicationStatus":"PW","scienceBaseUri":"5368b2efe4b059f7e8288336","contributors":{"authors":[{"text":"Hoem Neher, Tammy D.","contributorId":48104,"corporation":false,"usgs":true,"family":"Hoem Neher","given":"Tammy","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":477886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477884,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":477883,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walker, Coowe M.","contributorId":96182,"corporation":false,"usgs":false,"family":"Walker","given":"Coowe","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":477887,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baird, Steven J.","contributorId":12375,"corporation":false,"usgs":false,"family":"Baird","given":"Steven","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":477885,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70125444,"text":"70125444 - 2013 - How to predict community responses to perturbations in the face of imperfect knowledge and network complexity","interactions":[],"lastModifiedDate":"2014-09-18T09:12:27","indexId":"70125444","displayToPublicDate":"2013-12-01T14:40:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"How to predict community responses to perturbations in the face of imperfect knowledge and network complexity","docAbstract":"Recent attempts to predict the response of large food webs to perturbations have revealed that in larger systems increasingly precise information on the elements of the system is required. Thus, the effort needed for good predictions grows quickly with the system's complexity. Here, we show that not all elements need to be measured equally well, suggesting that a more efficient allocation of effort is possible. We develop an iterative technique for determining an efficient measurement strategy. In model food webs, we find that it is most important to precisely measure the mortality and predation rates of long-lived, generalist, top predators. Prioritizing the study of such species will make it easier to understand the response of complex food webs to perturbations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of the Royal Society B: Biological Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Royal Society","publisherLocation":"London","doi":"10.1098/rspb.2013.2355","usgsCitation":"Aufderheide, H., Rudolf, L., Gross, T., and Lafferty, K.D., 2013, How to predict community responses to perturbations in the face of imperfect knowledge and network complexity: Proceedings of the Royal Society B: Biological Sciences, v. 280, no. 1773, 9 p., https://doi.org/10.1098/rspb.2013.2355.","productDescription":"9 p.","numberOfPages":"9","ipdsId":"IP-051227","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":473410,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1983/828d9e9b-a4cd-4813-a86f-f58cab762af2","text":"External Repository"},{"id":294070,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294002,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1098/rspb.2013.2355"}],"volume":"280","issue":"1773","noUsgsAuthors":false,"publicationDate":"2013-12-22","publicationStatus":"PW","scienceBaseUri":"541a948fe4b01571b3d4cc42","contributors":{"authors":[{"text":"Aufderheide, Helge","contributorId":70708,"corporation":false,"usgs":true,"family":"Aufderheide","given":"Helge","email":"","affiliations":[],"preferred":false,"id":501444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rudolf, Lars","contributorId":99062,"corporation":false,"usgs":true,"family":"Rudolf","given":"Lars","email":"","affiliations":[],"preferred":false,"id":501445,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gross, Thilo","contributorId":16336,"corporation":false,"usgs":true,"family":"Gross","given":"Thilo","email":"","affiliations":[],"preferred":false,"id":501443,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501442,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046979,"text":"70046979 - 2013 - Urban runoff (URO) process for MODFLOW 2005: simulation of sub-grid scale urban hydrologic processes in Broward County, FL","interactions":[],"lastModifiedDate":"2014-07-07T09:17:50","indexId":"70046979","displayToPublicDate":"2013-12-01T14:12:00","publicationYear":"2013","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Urban runoff (URO) process for MODFLOW 2005: simulation of sub-grid scale urban hydrologic processes in Broward County, FL","docAbstract":"Climate change and sea-level rise could cause substantial changes in urban runoff and flooding in low-lying coast landscapes. A major challenge for local government officials and decision makers is to translate the potential global effects of climate change into actionable and cost-effective adaptation and mitigation strategies at county and municipal scales. A MODFLOW process is used to represent sub-grid scale hydrology in urban settings to help address these issues. Coupled interception, surface water, depression, and unsaturated zone storage are represented. A two-dimensional diffusive wave approximation is used to represent overland flow. Three different options for representing infiltration and recharge are presented. Additional features include structure, barrier, and culvert flow between adjacent cells, specified stage boundaries, critical flow boundaries, source/sink surface-water terms, and the bi-directional runoff to MODFLOW Surface-Water Routing process. Some abilities of the <u>U</u>rban <u>R</u>un<u>O</u>ff (URO) process are demonstrated with a synthetic problem using four land uses and varying cell coverages. Precipitation from a hypothetical storm was applied and cell by cell surface-water depth, groundwater level, infiltration rate, and groundwater recharge rate are shown. Results indicate the URO process has the ability to produce time-varying, water-content dependent infiltration and leakage, and successfully interacts with MODFLOW.","largerWorkTitle":"MODFLOW and More 2013: Translating Science into Practice: Conference Proceedings","conferenceTitle":"MODFLOW and More 2013: Translating Science into Practice","conferenceDate":"2013-06-02T00:00:00","conferenceLocation":"Golden, CO","language":"English","publisher":"Integrated GroundWater Modeling Center, Colorado School of Mines","publisherLocation":"Golden, CO","usgsCitation":"Decker, J.D., and Hughes, J., 2013, Urban runoff (URO) process for MODFLOW 2005: simulation of sub-grid scale urban hydrologic processes in Broward County, FL, p. 216-221.","productDescription":"p. 216-221","numberOfPages":"6","ipdsId":"IP-044959","costCenters":[],"links":[{"id":289445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","county":"Broward County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.881233,25.95675 ], [ -80.881233,26.334698 ], [ -80.074729,26.334698 ], [ -80.074729,25.95675 ], [ -80.881233,25.95675 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bbc187e4b084059e8bff08","contributors":{"authors":[{"text":"Decker, Jeremy D. 0000-0002-0700-515X jdecker@usgs.gov","orcid":"https://orcid.org/0000-0002-0700-515X","contributorId":514,"corporation":false,"usgs":true,"family":"Decker","given":"Jeremy","email":"jdecker@usgs.gov","middleInitial":"D.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":480788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hughes, J.D.","contributorId":25539,"corporation":false,"usgs":true,"family":"Hughes","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":480789,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70074807,"text":"70074807 - 2013 - Silicate melt inclusion evidence for extreme pre-eruptive enrichment and post-eruptive depletion of lithium in silicic volcanic rocks of the western United States: implications for the origin of lithium-rich brines","interactions":[],"lastModifiedDate":"2014-02-05T14:07:08","indexId":"70074807","displayToPublicDate":"2013-12-01T14:02:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Silicate melt inclusion evidence for extreme pre-eruptive enrichment and post-eruptive depletion of lithium in silicic volcanic rocks of the western United States: implications for the origin of lithium-rich brines","docAbstract":"To evaluate whether anatectic and/or highly fractionated lithophile element-enriched rhyolite tuffs deposited in arid lacustrine basins lose enough lithium during eruption, lithification, and weathering to generate significant Li brine resources, pre-eruptive melt compositions, preserved in inclusions, and the magnitude of post-eruptive Li depletions, evident in host rhyolites, were documented at six sites in the western United States. Each rhyolite is a member of the bimodal basalt-rhyolite assemblage associated with extensional tectonics that produced the Basin and Range province and Rio Grande rift, an evolving pattern of closed drainage basins, and geothermal energy or mineral resources.\n\nResults from the 0.8 Ma Bishop tuff (geothermal) in California, 1.3 to 1.6 Ma Cerro Toledo and Upper Bandelier tephra (geothermal) and 27.9 Ma Taylor Creek rhyolite (Sn) in New Mexico, 21.7 Ma Spor Mountain tuff (Be, U, F) and 24.6 Ma Pine Grove tuff (Mo) in Utah, and 27.6 Ma Hideaway Park tuff (Mo) in Colorado support the following conclusions. Melt inclusions in quartz phenocrysts from rhyolite tuffs associated with hydrothermal deposits of Sn, Mo, and Be are extremely enriched in Li (1,000s of ppm); those from Spor Mountain have the highest Li abundance yet recorded (max 5,200 ppm, median 3,750 ppm). Forty-five to 98% of the Li present in pre-eruptive magma was lost to the environment from these rhyolite tuffs. The amount of Li lost from the small volumes (1–10 km3) of Li-enriched rhyolite deposited in closed basins is sufficient to produce world-class Li brine resources. After each eruption, meteoric water leaches Li from tuff, which drains into playas, where it is concentrated by evaporation. The localized occurrence of Li-enriched rhyolites may explain why brines in arid lacustrine basins seldom have economic concentrations of Li.\n\nConsidering that hydrothermal deposits of Sn, Mo, Be, U, and F may indicate potential for Li brines in nearby basins, we surmise that the world’s largest Li brine resource in the Salar de Uyuni (10 Mt) received Li from nearby rhyolite tuffs in the Bolivian tin belt.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Economic Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.108.7.1691","usgsCitation":"Hofstra, A.H., Todorov, T., Mercer, C., Adams, D., and Marsh, E., 2013, Silicate melt inclusion evidence for extreme pre-eruptive enrichment and post-eruptive depletion of lithium in silicic volcanic rocks of the western United States: implications for the origin of lithium-rich brines: Economic Geology, v. 108, no. 7, p. 1691-1701, https://doi.org/10.2113/econgeo.108.7.1691.","productDescription":"11 p.","startPage":"1691","endPage":"1701","numberOfPages":"11","ipdsId":"IP-045184","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":282037,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282036,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2113/econgeo.108.7.1691"}],"country":"United States","state":"California;Colorado;New Mexico;Utah","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.53,31.31 ], [ -124.53,41.99 ], [ -102.04,41.99 ], [ -102.04,31.31 ], [ -124.53,31.31 ] ] ] } } ] }","volume":"108","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-09-30","publicationStatus":"PW","scienceBaseUri":"53cd72b4e4b0b290851087e4","contributors":{"authors":[{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":489903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Todorov, T.I.","contributorId":10995,"corporation":false,"usgs":true,"family":"Todorov","given":"T.I.","email":"","affiliations":[],"preferred":false,"id":489904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mercer, C.N.","contributorId":55738,"corporation":false,"usgs":true,"family":"Mercer","given":"C.N.","email":"","affiliations":[],"preferred":false,"id":489907,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, D.T.","contributorId":44439,"corporation":false,"usgs":true,"family":"Adams","given":"D.T.","email":"","affiliations":[],"preferred":false,"id":489906,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marsh, E.E.","contributorId":16628,"corporation":false,"usgs":true,"family":"Marsh","given":"E.E.","email":"","affiliations":[],"preferred":false,"id":489905,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70103852,"text":"70103852 - 2013 - Inferring tidal wetland stability from channel sediment fluxes: observations and a conceptual model","interactions":[],"lastModifiedDate":"2014-05-08T13:43:37","indexId":"70103852","displayToPublicDate":"2013-12-01T13:35:54","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Inferring tidal wetland stability from channel sediment fluxes: observations and a conceptual model","docAbstract":"Anthropogenic and climatic forces have modified the geomorphology of tidal wetlands over a range of timescales. Changes in land use, sediment supply, river flow, storminess, and sea level alter the layout of tidal channels, intertidal flats, and marsh plains; these elements define wetland complexes. Diagnostically, measurements of net sediment fluxes through tidal channels are high-temporal resolution, spatially integrated quantities that indicate (1) whether a complex is stable over seasonal timescales and (2) what mechanisms are leading to that state. We estimated sediment fluxes through tidal channels draining wetland complexes on the Blackwater and Transquaking Rivers, Maryland, USA. While the Blackwater complex has experienced decades of degradation and been largely converted to open water, the Transquaking complex has persisted as an expansive, vegetated marsh. The measured net export at the Blackwater complex (1.0 kg/s or 0.56 kg/m<sup>2</sup>/yr over the landward marsh area) was caused by northwesterly winds, which exported water and sediment on the subtidal timescale; tidally forced net fluxes were weak and precluded landward transport of suspended sediment from potential seaward sources. Though wind forcing also exported sediment at the Transquaking complex, strong tidal forcing and proximity to a turbidity maximum led to an import of sediment (0.031 kg/s or 0.70 kg/m<sup>2</sup>/yr). This resulted in a spatially averaged accretion of 3.9 mm/yr, equaling the regional relative sea level rise. Our results suggest that in areas where seaward sediment supply is dominant, seaward wetlands may be more capable of withstanding sea level rise over the short term than landward wetlands. We propose a conceptual model to determine a complex's tendency toward stability or instability based on sediment source, wetland channel location, and transport mechanisms. Wetlands with a reliable portfolio of sources and transport mechanisms appear better suited to offset natural and anthropogenic loss.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research F: Earth Surface","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/jgrf.20143","usgsCitation":"Ganju, N., Nidzieko, N.J., and Kirwan, M., 2013, Inferring tidal wetland stability from channel sediment fluxes: observations and a conceptual model: Journal of Geophysical Research F: Earth Surface, v. 118, no. 4, p. 2045-2058, https://doi.org/10.1002/jgrf.20143.","productDescription":"14 p.","startPage":"2045","endPage":"2058","numberOfPages":"14","ipdsId":"IP-049087","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473411,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.wm.edu/vimsarticles/1405","text":"External Repository"},{"id":286998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286992,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrf.20143"}],"country":"United States","state":"Maryl","otherGeospatial":"Blackwater River;Transquaking River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.195,38.323 ], [ -76.195,38.462 ], [ -75.910,38.462 ], [ -75.910,38.323 ], [ -76.195,38.323 ] ] ] } } ] }","volume":"118","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-10-07","publicationStatus":"PW","scienceBaseUri":"536ca76ce4b060efff280db9","contributors":{"authors":[{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":93543,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[],"preferred":false,"id":493498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nidzieko, Nicholas J.","contributorId":91018,"corporation":false,"usgs":true,"family":"Nidzieko","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":493497,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirwan, Matthew L. 0000-0002-0658-3038","orcid":"https://orcid.org/0000-0002-0658-3038","contributorId":84060,"corporation":false,"usgs":true,"family":"Kirwan","given":"Matthew L.","affiliations":[],"preferred":false,"id":493496,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045528,"text":"70045528 - 2013 - Atmospheric rivers as drought busters on the U.S. west coast","interactions":[],"lastModifiedDate":"2014-01-13T13:31:48","indexId":"70045528","displayToPublicDate":"2013-12-01T13:26:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2344,"text":"Journal of Hydrometeorology","active":true,"publicationSubtype":{"id":10}},"title":"Atmospheric rivers as drought busters on the U.S. west coast","docAbstract":"Atmospheric rivers (ARs) have, in recent years, been recognized as the cause of the large majority of major floods in rivers all along the U.S. West Coast and as the source of 30%–50% of all precipitation in the same region. The present study surveys the frequency with which ARs have played a critical role as a common cause of the end of droughts on the West Coast. This question was based on the observation that, in most cases, droughts end abruptly as a result of the arrival of an especially wet month or, more exactly, a few very large storms. This observation is documented using both Palmer Drought Severity Index and 6-month Standardized Precipitation Index measures of drought occurrence for climate divisions across the conterminous United States from 1895 to 2010. When the individual storm sequences that contributed most to the wet months that broke historical West Coast droughts from 1950 to 2010 were evaluated, 33%–74% of droughts were broken by the arrival of landfalling AR storms. In the Pacific Northwest, 60%–74% of all persistent drought endings have been brought about by the arrival of AR storms. In California, about 33%–40% of all persistent drought endings have been brought about by landfalling AR storms, with more localized low pressure systems responsible for many of the remaining drought breaks.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrometeorology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Meteorological Society","doi":"10.1175/JHM-D-13-02.1","usgsCitation":"Dettinger, M., 2013, Atmospheric rivers as drought busters on the U.S. west coast: Journal of Hydrometeorology, v. 14, no. 6, p. 1721-1732, https://doi.org/10.1175/JHM-D-13-02.1.","productDescription":"12 p.","startPage":"1721","endPage":"1732","numberOfPages":"12","ipdsId":"IP-045231","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":473412,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/jhm-d-13-02.1","text":"Publisher Index Page"},{"id":280893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280892,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/JHM-D-13-02.1"}],"country":"United States","state":"California;Oregon;Washington","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125.38,32.53 ], [ -125.38,48.9 ], [ -114.13,48.9 ], [ -114.13,32.53 ], [ -125.38,32.53 ] ] ] } } ] }","volume":"14","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-11-22","publicationStatus":"PW","scienceBaseUri":"53cd4e6be4b0b290850f2165","contributors":{"authors":[{"text":"Dettinger, Michael D. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":31743,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael D.","affiliations":[],"preferred":false,"id":477760,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048476,"text":"70048476 - 2013 - Controls on ecosystem and root respiration across a permafrost and wetland gradient in interior Alaska","interactions":[],"lastModifiedDate":"2014-01-14T13:21:10","indexId":"70048476","displayToPublicDate":"2013-12-01T13:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Controls on ecosystem and root respiration across a permafrost and wetland gradient in interior Alaska","docAbstract":"Permafrost is common to many northern wetlands given the insulation of thick organic soil layers, although soil saturation in wetlands can lead to warmer soils and increased thaw depth. We analyzed five years of soil CO<sub>2</sub> fluxes along a wetland gradient that varied in permafrost and soil moisture conditions. We predicted that communities with permafrost would have reduced ecosystem respiration (ER) but greater temperature sensitivity than communities without permafrost. These predictions were partially supported. The colder communities underlain by shallow permafrost had lower ecosystem respiration (ER) than communities with greater active layer thickness. However, the apparent Q<sub>10</sub> of monthly averaged ER was similar in most of the vegetation communities except the rich fen, which had smaller Q<sub>10</sub> values. Across the gradient there was a negative relationship between water table position and apparent Q<sub>10</sub>, showing that ER was more temperature sensitive under drier soil conditions. We explored whether root respiration could account for differences in ER between two adjacent communities (sedge marsh and rich fen), which corresponded to the highest and lowest ER, respectively. Despite differences in root respiration rates, roots contributed equally (~40%) to ER in both communities. Also, despite similar plant biomass, ER in the rich fen was positively related to root biomass, while ER in the sedge marsh appeared to be related more to vascular green area. Our results suggest that ER across this wetland gradient was temperature-limited, until conditions became so wet that respiration became oxygen-limited and influenced less by temperature. But even in sites with similar hydrology and thaw depth, ER varied significantly likely based on factors such as soil redox status and vegetation composition.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/8/4/045029","usgsCitation":"McConnell, N.A., Turetsky, M.R., McGuire, A., Kane, E.S., Waldrop, M.P., and Harden, J.W., 2013, Controls on ecosystem and root respiration across a permafrost and wetland gradient in interior Alaska: Environmental Research Letters, v. 8, no. 4, 11 p., https://doi.org/10.1088/1748-9326/8/4/045029.","productDescription":"11 p.","numberOfPages":"11","onlineOnly":"Y","ipdsId":"IP-046002","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":473413,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/8/4/045029","text":"Publisher Index Page"},{"id":281017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281015,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1088/1748-9326/8/4/045029"}],"country":"United States","state":"Alaska","otherGeospatial":"Bonanza Creek Experimental Forest","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -150.369,64.1106 ], [ -150.369,65.5469 ], [ -144.9175,65.5469 ], [ -144.9175,64.1106 ], [ -150.369,64.1106 ] ] ] } } ] }","volume":"8","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-12-02","publicationStatus":"PW","scienceBaseUri":"53cd532be4b0b290850f4fad","contributors":{"authors":[{"text":"McConnell, Nicole A.","contributorId":63312,"corporation":false,"usgs":true,"family":"McConnell","given":"Nicole","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turetsky, Merritt R.","contributorId":80980,"corporation":false,"usgs":true,"family":"Turetsky","given":"Merritt","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":484773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, A. David","contributorId":18494,"corporation":false,"usgs":true,"family":"McGuire","given":"A. David","affiliations":[],"preferred":false,"id":484771,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kane, Evan S.","contributorId":11903,"corporation":false,"usgs":true,"family":"Kane","given":"Evan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":484770,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waldrop, Mark P. 0000-0003-1829-7140 mwaldrop@usgs.gov","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":1599,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","email":"mwaldrop@usgs.gov","middleInitial":"P.","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":484768,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":484769,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048366,"text":"70048366 - 2013 - Predicting the effects of proposed Mississippi River diversions on oyster habitat quality; application of an oyster habitat suitability index model","interactions":[],"lastModifiedDate":"2014-01-08T13:08:46","indexId":"70048366","displayToPublicDate":"2013-12-01T13:04:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2455,"text":"Journal of Shellfish Research","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the effects of proposed Mississippi River diversions on oyster habitat quality; application of an oyster habitat suitability index model","docAbstract":"In an attempt to decelerate the rate of coastal erosion and wetland loss, and protect human communities, the state of Louisiana developed its Comprehensive Master Plan for a Sustainable Coast. The master plan proposes a combination of restoration efforts including shoreline protection, marsh creation, sediment diversions, and ridge, barrier island, and hydrological restoration. Coastal restoration projects, particularly the large-scale diversions of fresh water from the Mississippi River, needed to supply sediment to an eroding coast potentially impact oyster populations and oyster habitat. An oyster habitat suitability index model is presented that evaluates the effects of a proposed sediment and freshwater diversion into Lower Breton Sound. Voluminous freshwater, needed to suspend and broadly distribute river sediment, will push optimal salinities for oysters seaward and beyond many of the existing reefs. Implementation and operation of the Lower Breton Sound diversion structure as proposed would render about 6,173 ha of hard bottom immediately east of the Mississippi River unsuitable for the sustained cultivation of oysters. If historical harvests are to be maintained in this region, a massive and unprecedented effort to relocate private leases and restore oyster bottoms would be required. Habitat suitability index model results indicate that the appropriate location for such efforts are to the east and north of the Mississippi River Gulf Outlet.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Shellfish Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"National Shellfisheries Association","doi":"10.2983/035.032.0302","usgsCitation":"Soniat, T.M., Conzelmann, C.P., Byrd, J.D., Roszell, D.P., Bridevaux, J.L., Suir, K.J., and Colley, S.B., 2013, Predicting the effects of proposed Mississippi River diversions on oyster habitat quality; application of an oyster habitat suitability index model: Journal of Shellfish Research, v. 32, no. 3, p. 629-638, https://doi.org/10.2983/035.032.0302.","productDescription":"10 p.","startPage":"629","endPage":"638","numberOfPages":"10","ipdsId":"IP-048870","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":473414,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2983/035.032.0302","text":"Publisher Index Page"},{"id":280732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280731,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2983/035.032.0302"}],"country":"United States","state":"Louisiana","otherGeospatial":"Breton Sound;Mississippi River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.75,29.0 ], [ -90.75,30.75 ], [ -88.25,30.75 ], [ -88.25,29.0 ], [ -90.75,29.0 ] ] ] } } ] }","volume":"32","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6c66e4b0b290851048ad","contributors":{"authors":[{"text":"Soniat, Thomas M.","contributorId":11109,"corporation":false,"usgs":true,"family":"Soniat","given":"Thomas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":484437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conzelmann, Craig P. 0000-0002-4227-8719","orcid":"https://orcid.org/0000-0002-4227-8719","contributorId":92137,"corporation":false,"usgs":true,"family":"Conzelmann","given":"Craig","email":"","middleInitial":"P.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":484440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byrd, Jason D. byrdj@usgs.gov","contributorId":4893,"corporation":false,"usgs":true,"family":"Byrd","given":"Jason","email":"byrdj@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":484435,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roszell, Dustin P.","contributorId":16311,"corporation":false,"usgs":true,"family":"Roszell","given":"Dustin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":484438,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bridevaux, Joshua L.","contributorId":103567,"corporation":false,"usgs":true,"family":"Bridevaux","given":"Joshua","email":"","middleInitial":"L.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":484441,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Suir, Kevin J. 0000-0003-1570-9648 suirk@usgs.gov","orcid":"https://orcid.org/0000-0003-1570-9648","contributorId":4894,"corporation":false,"usgs":true,"family":"Suir","given":"Kevin","email":"suirk@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":484436,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Colley, Susan B.","contributorId":36844,"corporation":false,"usgs":true,"family":"Colley","given":"Susan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":484439,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70046042,"text":"70046042 - 2013 - Use of seeded exotic grasslands by wintering birds","interactions":[],"lastModifiedDate":"2021-02-04T19:19:54.970657","indexId":"70046042","displayToPublicDate":"2013-12-01T13:01:12","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3580,"text":"The Prairie Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Use of seeded exotic grasslands by wintering birds","docAbstract":"<p><span>Despite widespread population declines of North American grassland birds, effects of anthropogenic disturbance on wintering habitat of this guild remain poorly understood. We compared avian abundance and habitat structure in fields planted to the exotic grass Old World bluestem (</span><i>Bothriochloa ischaemum</i><span>; OWB) to that in native mixed-grass prairie. During winters of 2007–2008 and 2008–2009, we conducted bird and vegetation surveys in six native grass and six OWB fields in Garfield, Grant, and Alfalfa counties, Oklahoma. We recorded 24 species of wintering birds in native fields and 14 species in OWB monocultures. While vegetation structure was similar between field types, abundance of short-eared owls (</span><i>Asio flammeus</i><span>), northern harriers (</span><i>Circus cyaneus</i><span>) and Smith’s longspurs (</span><i>Calcarius pictus</i><span>) was higher in OWB fields during at least one year. The use of OWB fields by multiple species occupying different trophic positions suggested that vegetation structure of OWB can meet habitat requirements of some wintering birds, but there is insufficient evidence to determine if it provides superior conditions to native grasses.</span></p>","language":"English","publisher":"Great Plains Natural Science Society","usgsCitation":"George, A.D., O’Connell, T.J., Hickman, K.R., and Leslie, D.M., 2013, Use of seeded exotic grasslands by wintering birds: The Prairie Naturalist, v. 45, no. 2, p. 77-83.","productDescription":"7 p.","startPage":"77","endPage":"83","numberOfPages":"7","ipdsId":"IP-037997","costCenters":[{"id":515,"text":"Oklahoma Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":286190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":383026,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://digitalcommons.unl.edu/tpn/58/"}],"country":"United States","state":"Oklahoma","county":"Alfalfa County, Garfield County, Grant County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.6,36.4476 ], [ -98.6,36.8979 ], [ -97.7993,36.8979 ], [ -97.7993,36.4476 ], [ -98.6,36.4476 ] ] ] } } ] }","volume":"45","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535595d7e4b0120853e8c2dd","contributors":{"authors":[{"text":"George, Andrew D.","contributorId":81014,"corporation":false,"usgs":true,"family":"George","given":"Andrew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":478750,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Connell, Timothy J.","contributorId":58185,"corporation":false,"usgs":true,"family":"O’Connell","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":478749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hickman, Karen R.","contributorId":25461,"corporation":false,"usgs":true,"family":"Hickman","given":"Karen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":478748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leslie, David M. Jr. 0000-0002-3884-1484 cleslie@usgs.gov","orcid":"https://orcid.org/0000-0002-3884-1484","contributorId":2483,"corporation":false,"usgs":true,"family":"Leslie","given":"David","suffix":"Jr.","email":"cleslie@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":478747,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70125640,"text":"70125640 - 2013 - Seismic Station Installation Orientation Errors at ANSS and IRIS/USGS Stations","interactions":[],"lastModifiedDate":"2014-09-18T12:58:39","indexId":"70125640","displayToPublicDate":"2013-12-01T12:56:18","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Seismic Station Installation Orientation Errors at ANSS and IRIS/USGS Stations","docAbstract":"<p>Many seismological studies depend on the published orientations of sensitive axes of seismic instruments relative to north (e.g., Li et al., 2011). For example, studies of the anisotropic structure of the Earth’s mantle through SKS‐splitting measurements (Long et al., 2009), constraints on core–mantle electromagnetic coupling from torsional normal‐mode measurements (Dumberry and Mound, 2008), and models of three‐dimensional (3D) velocity variations from surface waves (Ekström et al., 1997) rely on accurate sensor orientation. Unfortunately, numerous results indicate that this critical parameter is often subject to significant error (Laske, 1995; Laske and Masters, 1996; Yoshizawa et al., 1999; Schulte‐Pelkum et al., 2001; Larson and Ekström, 2002).</p>\n<br/>\n<p>For the Advanced National Seismic System (ANSS; ANSS Technical Integration Committee, 2002), the Global Seismographic Network (GSN; Butler et al., 2004), and many other networks, sensor orientation is typically determined by a field engineer during installation. Successful emplacement of a seismic instrument requires identifying true north, transferring a reference line, and measuring the orientation of the instrument relative to the reference line. Such an exercise is simple in theory, but there are many complications in practice.</p>\n<br/>\n<p>There are four commonly used methods for determining true north at the ANSS and GSN stations operated by the USGS Albuquerque Seismological Laboratory (ASL), including gyroscopic, astronomical, Global Positioning System (GPS), and magnetic field techniques. A particular method is selected based on site conditions (above ground, below ground, availability of astronomical observations, and so on) and in the case of gyroscopic methods, export restrictions. Once a north line has been determined, it must be translated to the sensor location. For installations in mines or deep vaults, this step can include tracking angles through the one or more turns in the access tunnel leading to the vault (e.g., GSN station WCI in Wyandotte Cave, Indiana). Finally, the third source of error comes from the ability of field engineers to orient the sensor relative to the reference line.</p>\n<br/>\n<p>In order to quantify bounds on the errors in each step in the orientation process, we conducted a series of tests at the ASL using twelve GSN and ANSS field engineers. The results from this exercise allow us to estimate upper bounds on the precision of our ability to orient instruments, as well as identify the sources of error in the procedures. We are also able to identify systematic bias of various true‐north‐finding methods relative to one another. Although we are unable to estimate the absolute accuracy of our orientation measurements due to our inability to identify true north without some error, the agreement between independent methods for finding true north provides confidence in the different approaches, assuming no systematic bias. Finally, our study neglects orientation errors that are beyond the control of the field engineer during a station visit. These additional errors can arise from deviations in the sensitive axes of the instruments relative to the case markings, processing errors (Holcomb, 2002) when comparing horizontal orientations relative to other sensors (e.g., borehole installations), and deviations of the sensitive axes of instruments from true orthogonality (e.g., instruments with separate modules such as the Streckeisen STS‐1).</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Seismological Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"El Cerrito, CA","doi":"10.1785/0220130072","usgsCitation":"Ringler, A.T., Hutt, C.R., Persfield, K., and Gee, L., 2013, Seismic Station Installation Orientation Errors at ANSS and IRIS/USGS Stations: Seismological Research Letters, v. 84, no. 6, p. 926-931, https://doi.org/10.1785/0220130072.","productDescription":"6 p.","startPage":"926","endPage":"931","numberOfPages":"6","ipdsId":"IP-045633","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":294160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294159,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0220130072"}],"volume":"84","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-10-24","publicationStatus":"PW","scienceBaseUri":"541bf456e4b0e96537ddf87b","contributors":{"authors":[{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":501519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hutt, Charles R. 0000-0001-9033-9195 bhutt@usgs.gov","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":1622,"corporation":false,"usgs":true,"family":"Hutt","given":"Charles","email":"bhutt@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":501517,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Persfield, K.","contributorId":87078,"corporation":false,"usgs":true,"family":"Persfield","given":"K.","email":"","affiliations":[],"preferred":false,"id":501520,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gee, Lind S. lgee@usgs.gov","contributorId":2247,"corporation":false,"usgs":true,"family":"Gee","given":"Lind S.","email":"lgee@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":501518,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70129636,"text":"70129636 - 2013 - American badgers selectively excavate burrows in areas used by black-footed ferrets: implications for predator avoidance","interactions":[],"lastModifiedDate":"2014-10-24T12:55:16","indexId":"70129636","displayToPublicDate":"2013-12-01T12:51:00","publicationYear":"2013","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":"American badgers selectively excavate burrows in areas used by black-footed ferrets: implications for predator avoidance","docAbstract":"We evaluated how American badgers (<i>Taxidea taxus</i>) might exert selective pressure on black-footed ferrets (<i>Mustela nigripes</i>) to develop antipredator defenses. In a colony of black-tailed prairie dogs (<i>Cynomys ludovicianus</i>) in South Dakota, badgers concentrated their activities where burrow openings and prairie dogs were abundant, a selective behavior that was exhibited by ferrets in the same colony. Badgers excavated burrows more often when in areas recently used by a ferret, suggesting that badgers hunt ferrets or steal prey from ferrets, or both. We also conducted an analysis of survival studies for ferrets and Siberian polecats (<i>M. eversmanii</i>) released onto prairie dog colonies. This polecat is the ferret's ecological equivalent but evolved without a digging predator. Badgers accounted for 30.0% of predation on polecats and 5.5% of predation on ferrets. In contrast, both polecats and ferrets have evolutionary experience with canids, providing a plausible explanation for the similar relative impact of coyotes (<i>Canis latrans</i>) on them (65.0% and 67.1% of predation, respectively). We hypothesize that ferrets and badgers coexist because ferrets are superior at exploitation competition and are efficient at avoiding badgers, and badgers are superior at interference competition.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Mammalogy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Mammalogists","doi":"10.1644/12-MAMM-A-298.1","usgsCitation":"Eads, D., Biggins, D.E., Livieri, T., and Millspaugh, J., 2013, American badgers selectively excavate burrows in areas used by black-footed ferrets: implications for predator avoidance: Journal of Mammalogy, v. 94, no. 6, p. 1364-1370, https://doi.org/10.1644/12-MAMM-A-298.1.","productDescription":"7 p.","startPage":"1364","endPage":"1370","numberOfPages":"7","ipdsId":"IP-051377","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":295730,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295729,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1644/12-MAMM-A-298.1"}],"country":"United States","state":"South Dakota","otherGeospatial":"Conata Basin","volume":"94","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-12-16","publicationStatus":"PW","scienceBaseUri":"544b6a18e4b03653c63fb1c0","contributors":{"authors":[{"text":"Eads, David A.","contributorId":69077,"corporation":false,"usgs":true,"family":"Eads","given":"David A.","affiliations":[],"preferred":false,"id":503930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":503927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Livieri, Travis M.","contributorId":14321,"corporation":false,"usgs":true,"family":"Livieri","given":"Travis M.","affiliations":[],"preferred":false,"id":503929,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Millspaugh, Joshua J.","contributorId":11141,"corporation":false,"usgs":false,"family":"Millspaugh","given":"Joshua J.","affiliations":[],"preferred":false,"id":503928,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70124317,"text":"70124317 - 2013 - Detecting short-term responses to weekend recreation activity: desert bighorn sheep avoidance of hiking trails","interactions":[],"lastModifiedDate":"2014-09-11T12:51:17","indexId":"70124317","displayToPublicDate":"2013-12-01T12:46:02","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Detecting short-term responses to weekend recreation activity: desert bighorn sheep avoidance of hiking trails","docAbstract":"To study potential effects of recreation activity on habitat use of desert bighorn sheep (<i>Ovis canadensis nelsoni</i>), we placed Global Positioning System collars on 10 female bighorn sheep within the Wonderland of Rocks–Queen Mountain region of Joshua Tree National Park (JOTR), California, USA, from 2002 to 2004. Recreation use was highest from March to April and during weekends throughout the year. Daily use of recreation trails was highest during midday. By comparing habitat use (slope, ruggedness, distance to water, and distance to recreation trails) of female bighorn sheep on weekdays versus weekends, we were able to detect short-term shifts in behavior in response to recreation. In a logistic regression of bighorn sheep locations versus random locations for March and April, female locations at midday (1200 hours) were significantly more distant from recreation trails on weekends compared with weekdays. Our results indicate that within this region of JOTR, moderate to high levels of human recreation activity may temporarily exclude bighorn females from their preferred habitat. However, the relative proximity of females to recreation trails during the weekdays before and after such habitat shifts indicates that these anthropogenic impacts were short-lived. Our results have implications for management of wildlife on public lands where the co-existence of wildlife and recreational use is a major goal.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wildlife Society Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.349","usgsCitation":"Longshore, K.M., Lowrey, C., and Thompson, D., 2013, Detecting short-term responses to weekend recreation activity: desert bighorn sheep avoidance of hiking trails: Wildlife Society Bulletin, v. 37, no. 4, p. 698-706, https://doi.org/10.1002/wsb.349.","productDescription":"9 p.","startPage":"698","endPage":"706","numberOfPages":"9","ipdsId":"IP-009849","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":499982,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/e94d64d653cb4dd3ae768a26bbdfd675","text":"External Repository"},{"id":293719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293701,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wsb.349"}],"country":"United States","state":"California","otherGeospatial":"Joshua Tree National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.457722,33.670186 ], [ -116.457722,34.129343 ], [ -115.262191,34.129343 ], [ -115.262191,33.670186 ], [ -116.457722,33.670186 ] ] ] } } ] }","volume":"37","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-10-11","publicationStatus":"PW","scienceBaseUri":"5412b9a3e4b0239f1986ba3f","chorus":{"doi":"10.1002/wsb.349","url":"http://dx.doi.org/10.1002/wsb.349","publisher":"Wiley-Blackwell","authors":"Longshore Kathleen, Lowrey Chris, Thompson Daniel B.","journalName":"Wildlife Society Bulletin","publicationDate":"10/11/2013","publiclyAccessibleDate":"10/11/2013"},"contributors":{"authors":[{"text":"Longshore, Kathleen M. 0000-0001-6621-1271 longshore@usgs.gov","orcid":"https://orcid.org/0000-0001-6621-1271","contributorId":2677,"corporation":false,"usgs":true,"family":"Longshore","given":"Kathleen","email":"longshore@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":500707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowrey, Chris","contributorId":84282,"corporation":false,"usgs":true,"family":"Lowrey","given":"Chris","affiliations":[],"preferred":false,"id":500708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Daniel B.","contributorId":97829,"corporation":false,"usgs":true,"family":"Thompson","given":"Daniel B.","affiliations":[],"preferred":false,"id":500709,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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