{"pageNumber":"1058","pageRowStart":"26425","pageSize":"25","recordCount":165485,"records":[{"id":70194998,"text":"70194998 - 2016 - Depredation of the California Ridgway’s rail: Causes and distribution","interactions":[],"lastModifiedDate":"2018-02-13T15:30:51","indexId":"70194998","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Depredation of the California Ridgway’s rail: Causes and distribution","docAbstract":"We studied the causes of mortality for the California Ridgway’s rail at multiple tidal marshes in the San Francisco Bay Estuary, California. We radio-marked 196 individual rails and examined the evidence from 152 recovered California Ridgway’s rail mortalities from our radio-marked sample and determined plausible cause of death from a wide array of evidence. We also included 10 additional California Ridgway’s rail mortalities (unmarked) that we encountered during our normal field operations. We assigned a likely cause of death to 130 of the recoveries, of which 127 were determined to be caused by predation. Of those, 103 could be divided into class of cause (avian or mammalian), and avian predators were responsible for 64% of those events. Primary predators identified include domestic or feral cats, red fox, owl, and northern harrier. We did find seasonal differences between avian and mammalian predation rates, with higher proportions of avian predation in the winter and early spring. Time of day and tide height\nwere correlated with predation events, with a greater proportion of known mortalities found during periods of high tides (over 60% marsh inundation) and during daylight hours. Predation is the primary source of mortality for California Ridgway’s rail. Management actions that try to reduce avian predation may be the most effective at improving rail survival rates, given the proportion of avian predation detected.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 27th Vertebrate Pest Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"27th Vertebrate Pest Conference","conferenceDate":"March 7-10, 2016","conferenceLocation":"Newport Beach, CA","language":"English","publisher":"University of California, Davis","usgsCitation":"Casazza, M.L., Overton, C.T., Bui, T.D., Takekawa, J.Y., Merritt, A.M., and Hull, J., 2016, Depredation of the California Ridgway’s rail: Causes and distribution, <i>in</i> Proceedings of the 27th Vertebrate Pest Conference, Newport Beach, CA, March 7-10, 2016, p. 226-235.","productDescription":"10 p.","startPage":"226","endPage":"235","ipdsId":"IP-079366","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":351556,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee9d1e4b0da30c1bfc58e","contributors":{"authors":[{"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":726500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":726501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bui, Thuy-Vy D. 0000-0002-0914-5439 tbui@usgs.gov","orcid":"https://orcid.org/0000-0002-0914-5439","contributorId":4776,"corporation":false,"usgs":true,"family":"Bui","given":"Thuy-Vy","email":"tbui@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":726502,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":196611,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":726503,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Merritt, Angela M. 0000-0002-8512-2423 amerritt@usgs.gov","orcid":"https://orcid.org/0000-0002-8512-2423","contributorId":201578,"corporation":false,"usgs":true,"family":"Merritt","given":"Angela","email":"amerritt@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":726504,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hull, J.M.","contributorId":201579,"corporation":false,"usgs":false,"family":"Hull","given":"J.M.","email":"","affiliations":[{"id":36209,"text":"U.S. FWS","active":true,"usgs":false}],"preferred":false,"id":726505,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70174605,"text":"70174605 - 2016 - Accretionary lapilli: what’s holding them together?","interactions":[],"lastModifiedDate":"2019-06-13T10:26:14","indexId":"70174605","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Accretionary lapilli: what’s holding them together?","docAbstract":"<p>Accretionary lapilli from Tagus cone, Isla Isabela, Gal&aacute;pagos were analyzed using scanning electron microscope (SEM) and energy-dispersive X-ray spectroscopy (EDS) techniques. Our main findings are (1) the lapilli formed and hardened in a few minutes while still aloft in the dispersing eruption column. (2) Palagonite rinds developed first on the basaltic glass clasts, and subsequently crystallized (3) The crystallization products contain submicron lamellar crystals of a clay (probably smectite) on the surfaces of basaltic glass clasts and (4) The interlocking of these lamellar clays from adjacent clasts binds and cements them together to form the accretionary lapillus. We argue that palagonite and possibly clay formation occur primarily in the presence of hot water vapor.</p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Going LOCO: Investigations along the Lower Colorado River: 2016 Desert Symposium Field Guide and Proceedings","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceDate":"April 2016","language":"English","publisher":"California State University Desert Studies Center","usgsCitation":"Adams, P.M., Lynch, D.K., and Buesch, D.C., 2016, Accretionary lapilli: what’s holding them together?, <i>in</i> Going LOCO: Investigations along the Lower Colorado River: 2016 Desert Symposium Field Guide and Proceedings, April 2016, p. 256-265.","productDescription":"10 p.","startPage":"256","endPage":"265","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-072848","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":325226,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":325208,"type":{"id":15,"text":"Index Page"},"url":"https://www.desertsymposium.org/About.html"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5787662ce4b0d27deb36e173","contributors":{"authors":[{"text":"Adams, Paul M.","contributorId":172886,"corporation":false,"usgs":false,"family":"Adams","given":"Paul","email":"","middleInitial":"M.","affiliations":[{"id":27112,"text":"Thule Scientific, P.O. Box 953, Topanga, CA 90290 USA","active":true,"usgs":false}],"preferred":false,"id":642414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, David K.","contributorId":88600,"corporation":false,"usgs":true,"family":"Lynch","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":642415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buesch, David C. 0000-0002-4978-5027 dbuesch@usgs.gov","orcid":"https://orcid.org/0000-0002-4978-5027","contributorId":1154,"corporation":false,"usgs":true,"family":"Buesch","given":"David","email":"dbuesch@usgs.gov","middleInitial":"C.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":642413,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70179717,"text":"70179717 - 2016 - Potential carbon emissions dominated by carbon dioxide from thawed permafrost soils","interactions":[],"lastModifiedDate":"2017-01-13T10:24:48","indexId":"70179717","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Potential carbon emissions dominated by carbon dioxide from thawed permafrost soils","docAbstract":"<p><span>Increasing temperatures in northern high latitudes are causing permafrost to thaw</span><span>, making large amounts of previously frozen organic matter vulnerable to microbial decomposition</span><span>. Permafrost thaw also creates a fragmented landscape of drier and wetter soil conditions</span><span>&nbsp;that determine the amount and form (carbon dioxide (CO</span><sub>2</sub><span>), or methane (CH</span><sub>4</sub><span>)) of carbon&nbsp;(C) released to the atmosphere. The rate and form of C release control the magnitude of the permafrost C feedback, so their relative contribution with a warming climate remains unclear</span><span>. We quantified the effect of increasing temperature and changes from aerobic to anaerobic soil conditions using 25 soil incubation studies from the permafrost zone. Here we show, using two separate meta-analyses, that a 10</span><span class=\"mb\"><span class=\"mb\"> </span></span><span>°C increase in incubation temperature increased C release by a factor of 2.0 (95% confidence interval (CI), 1.8 to 2.2). Under aerobic incubation conditions, soils released 3.4 (95%&nbsp;CI, 2.2 to 5.2) times more C than under anaerobic conditions. Even when accounting for the higher heat trapping capacity of CH</span><sub>4</sub><span>, soils released 2.3 (95% CI, 1.5 to 3.4) times more C under aerobic conditions. These results imply that permafrost ecosystems thawing under aerobic conditions and releasing CO</span><sub>2</sub><span> will strengthen the permafrost C feedback more than waterlogged systems releasing CO</span><sub>2</sub><span> and CH</span><sub>4</sub><span> for a given amount of C.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/nclimate3054","usgsCitation":"Schädel, C., Bader, M.K., Schuur, E.A., Biasi, C., Bracho, R., Capek, P., De Baets, S., Diakova, K., Ernakovich, J., Estop-Aragones, C., Graham, D.E., Hartley, I.P., Iversen, C.M., Kane, E.S., Knoblauch, C., Lupascu, M., Martikainen, P.J., Natali, S.M., Norby, R.J., O’Donnell, J.A., Roy Chowdhury, T., Santruckova, H., Shaver, G., Sloan, V.L., Treat, C.C., Turetsky, M.R., Waldrop, M.P., and Wickland, K.P., 2016, Potential carbon emissions dominated by carbon dioxide from thawed permafrost soils: Nature Climate Change, v. 6, p. 950-953, https://doi.org/10.1038/nclimate3054.","productDescription":"4 p.","startPage":"950","endPage":"953","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470794,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1336567","text":"External Repository"},{"id":333177,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","noUsgsAuthors":false,"publicationDate":"2016-06-13","publicationStatus":"PW","scienceBaseUri":"5879f5aae4b0847d353f44c0","contributors":{"authors":[{"text":"Schädel, Christina","contributorId":178287,"corporation":false,"usgs":false,"family":"Schädel","given":"Christina","affiliations":[],"preferred":false,"id":658390,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bader, Martin K.-F.","contributorId":176589,"corporation":false,"usgs":false,"family":"Bader","given":"Martin","email":"","middleInitial":"K.-F.","affiliations":[],"preferred":false,"id":658391,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schuur, Edward A.G.","contributorId":50026,"corporation":false,"usgs":true,"family":"Schuur","given":"Edward","email":"","middleInitial":"A.G.","affiliations":[],"preferred":false,"id":658392,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Biasi, Christina","contributorId":178288,"corporation":false,"usgs":false,"family":"Biasi","given":"Christina","email":"","affiliations":[],"preferred":false,"id":658393,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bracho, Rosvel","contributorId":178289,"corporation":false,"usgs":false,"family":"Bracho","given":"Rosvel","email":"","affiliations":[],"preferred":false,"id":658394,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Capek, Petr","contributorId":178290,"corporation":false,"usgs":false,"family":"Capek","given":"Petr","email":"","affiliations":[],"preferred":false,"id":658395,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"De Baets, Sarah","contributorId":178291,"corporation":false,"usgs":false,"family":"De Baets","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":658396,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Diakova, Katerina","contributorId":178292,"corporation":false,"usgs":false,"family":"Diakova","given":"Katerina","email":"","affiliations":[],"preferred":false,"id":658397,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ernakovich, Jessica","contributorId":167833,"corporation":false,"usgs":false,"family":"Ernakovich","given":"Jessica","affiliations":[],"preferred":false,"id":658398,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Estop-Aragones, Cristian","contributorId":178293,"corporation":false,"usgs":false,"family":"Estop-Aragones","given":"Cristian","email":"","affiliations":[],"preferred":false,"id":658399,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Graham, David E.","contributorId":178294,"corporation":false,"usgs":false,"family":"Graham","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":658400,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hartley, Iain P.","contributorId":178295,"corporation":false,"usgs":false,"family":"Hartley","given":"Iain","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":658401,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Iversen, Colleen M.","contributorId":178296,"corporation":false,"usgs":false,"family":"Iversen","given":"Colleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":658402,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Kane, Evan S.","contributorId":11903,"corporation":false,"usgs":true,"family":"Kane","given":"Evan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":658403,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Knoblauch, Christian","contributorId":178297,"corporation":false,"usgs":false,"family":"Knoblauch","given":"Christian","email":"","affiliations":[],"preferred":false,"id":658404,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Lupascu, Massimo","contributorId":178298,"corporation":false,"usgs":false,"family":"Lupascu","given":"Massimo","email":"","affiliations":[],"preferred":false,"id":658405,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Martikainen, Pertti J.","contributorId":178299,"corporation":false,"usgs":false,"family":"Martikainen","given":"Pertti","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":658406,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Natali, Susan M.","contributorId":103160,"corporation":false,"usgs":true,"family":"Natali","given":"Susan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":658407,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Norby, Richard J. 0000-0002-0238-9828","orcid":"https://orcid.org/0000-0002-0238-9828","contributorId":167836,"corporation":false,"usgs":false,"family":"Norby","given":"Richard","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":658408,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"O’Donnell, Jonathan A.","contributorId":84138,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":658409,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Roy Chowdhury, Taniya","contributorId":167837,"corporation":false,"usgs":false,"family":"Roy Chowdhury","given":"Taniya","email":"","affiliations":[],"preferred":false,"id":658410,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Santruckova, Hana","contributorId":167838,"corporation":false,"usgs":false,"family":"Santruckova","given":"Hana","email":"","affiliations":[],"preferred":false,"id":658411,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Shaver, Gaius","contributorId":49680,"corporation":false,"usgs":true,"family":"Shaver","given":"Gaius","affiliations":[],"preferred":false,"id":658412,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Sloan, Victoria L.","contributorId":167839,"corporation":false,"usgs":false,"family":"Sloan","given":"Victoria","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":658413,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Treat, Claire C.","contributorId":150798,"corporation":false,"usgs":false,"family":"Treat","given":"Claire","email":"","middleInitial":"C.","affiliations":[{"id":18105,"text":"University of New Hampshire, Durham","active":true,"usgs":false}],"preferred":false,"id":658414,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Turetsky, Merritt R.","contributorId":169398,"corporation":false,"usgs":false,"family":"Turetsky","given":"Merritt","email":"","middleInitial":"R.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":658415,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"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":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":658416,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Wickland, Kimberly P. 0000-0002-6400-0590 kpwick@usgs.gov","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":1835,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","email":"kpwick@usgs.gov","middleInitial":"P.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":658417,"contributorType":{"id":1,"text":"Authors"},"rank":28}]}}
,{"id":70178121,"text":"70178121 - 2016 - Community fisheries in eastern South Dakota: Angler demographics, use, and factors influencing satisfaction","interactions":[],"lastModifiedDate":"2016-11-03T11:28:03","indexId":"70178121","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Community fisheries in eastern South Dakota: Angler demographics, use, and factors influencing satisfaction","docAbstract":"<p><span>We surveyed anglers on five community fishing lakes near Brookings, South Dakota to assess angler use and satisfaction. The community lakes attracted younger anglers when compared to statewide and national averages. Overall, satisfaction was generally high (74%) among anglers fishing community lakes. Logistic regression analysis showed that harvest rate, anglers targeting trout, familiarity with the lake, adults fishing with children, and fishing during open water periods were significantly related to angler satisfaction. Angler parties consisting of adults fishing with children were 1.7 times more likely to respond as “satisfied” compared with adults-only angler groups. Fishing opportunities provided by community lakes can enhance participation by younger anglers while simultaneously providing family-oriented recreation (i.e., adults fishing with children) that enhances trip satisfaction.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2016.1138346","usgsCitation":"Greiner, M.J., Lucchesi, D.O., Chipps, S.R., and Gigliotti, L.M., 2016, Community fisheries in eastern South Dakota: Angler demographics, use, and factors influencing satisfaction: Human Dimensions of Wildlife, v. 21, no. 3, p. 254-263, https://doi.org/10.1080/10871209.2016.1138346.","productDescription":"10 p.","startPage":"254","endPage":"263","ipdsId":"IP-069172","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":330689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-02","publicationStatus":"PW","scienceBaseUri":"581c4cc3e4b09688d6e90fb3","contributors":{"authors":[{"text":"Greiner, Michael J.","contributorId":176628,"corporation":false,"usgs":false,"family":"Greiner","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":652890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lucchesi, David O.","contributorId":176629,"corporation":false,"usgs":false,"family":"Lucchesi","given":"David","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":652891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":652892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gigliotti, Larry M. 0000-0002-1693-5113 lgigliotti@usgs.gov","orcid":"https://orcid.org/0000-0002-1693-5113","contributorId":3906,"corporation":false,"usgs":true,"family":"Gigliotti","given":"Larry","email":"lgigliotti@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":652864,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70176820,"text":"70176820 - 2016 - Fault zone characteristics and basin complexity in the southern Salton Trough, California","interactions":[],"lastModifiedDate":"2016-10-11T13:03:55","indexId":"70176820","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Fault zone characteristics and basin complexity in the southern Salton Trough, California","docAbstract":"<p><span>Ongoing oblique slip at the Pacific–North America plate boundary in the Salton Trough produced the Imperial Valley (California, USA), a seismically active area with deformation distributed across a complex network of exposed and buried faults. To better understand the shallow crustal structure in this region and the connectivity of faults and seismicity lineaments, we used data primarily from the Salton Seismic Imaging Project to construct a three-dimensional P-wave velocity model down to 8 km depth and a velocity profile to 15 km depth, both at 1 km grid spacing. A V</span><sub>P</sub><span> = 5.65–5.85 km/s layer of possibly metamorphosed sediments within, and crystalline basement outside, the valley is locally as thick as 5 km, but is thickest and deepest in fault zones and near seismicity lineaments, suggesting a causative relationship between the low velocities and faulting. Both seismicity lineaments and surface faults control the structural architecture of the western part of the larger wedge-shaped basin, where two deep subbasins are located. We estimate basement depths, and show that high velocities at shallow depths and possible basement highs characterize the geothermal areas.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G38033.1","usgsCitation":"Persaud, P., Ma, Y., Stock, J.M., Hole, J.A., Fuis, G.S., and Han, L., 2016, Fault zone characteristics and basin complexity in the southern Salton Trough, California: Geology, v. 44, no. 9, p. 747-750, https://doi.org/10.1130/G38033.1.","productDescription":"4 p.","startPage":"747","endPage":"750","ipdsId":"IP-078827","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":329437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Salton Trough","volume":"44","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-01","publicationStatus":"PW","scienceBaseUri":"57fe679ee4b0824b2d143711","contributors":{"authors":[{"text":"Persaud, Patricia","contributorId":175210,"corporation":false,"usgs":false,"family":"Persaud","given":"Patricia","email":"","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":650423,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ma, Yiran","contributorId":175211,"corporation":false,"usgs":false,"family":"Ma","given":"Yiran","email":"","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":650424,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stock, Joann M.","contributorId":21057,"corporation":false,"usgs":true,"family":"Stock","given":"Joann","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":650425,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hole, John A.","contributorId":104801,"corporation":false,"usgs":true,"family":"Hole","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":650426,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fuis, Gary S. 0000-0002-3078-1544 fuis@usgs.gov","orcid":"https://orcid.org/0000-0002-3078-1544","contributorId":2639,"corporation":false,"usgs":true,"family":"Fuis","given":"Gary","email":"fuis@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":650422,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Han, Liang","contributorId":49690,"corporation":false,"usgs":true,"family":"Han","given":"Liang","email":"","affiliations":[],"preferred":false,"id":650427,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70178377,"text":"70178377 - 2016 - Parallelization of the TRIGRS model for rainfall-induced landslides using the message passing interface","interactions":[],"lastModifiedDate":"2016-11-15T12:48:53","indexId":"70178377","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Parallelization of the TRIGRS model for rainfall-induced landslides using the message passing interface","docAbstract":"<p><span>We describe a parallel implementation of TRIGRS, the Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability Model for the timing and distribution of rainfall-induced shallow landslides. We have parallelized the four time-demanding execution modes of TRIGRS, namely both the saturated and unsaturated model with finite and infinite soil depth options, within the Message Passing Interface framework. In addition to new features of the code, we outline details of the parallel implementation and show the performance gain with respect to the serial code. Results are obtained both on commercial hardware and on a high-performance multi-node machine, showing the different limits of applicability of the new code. We also discuss the implications for the application of the model on large-scale areas and as a tool for real-time landslide hazard monitoring.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2016.04.002","usgsCitation":"Alvioli, M., and Baum, R., 2016, Parallelization of the TRIGRS model for rainfall-induced landslides using the message passing interface: Environmental Modelling and Software, v. 81, p. 122-135, https://doi.org/10.1016/j.envsoft.2016.04.002.","productDescription":"14 p.","startPage":"122","endPage":"135","ipdsId":"IP-074052","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":438603,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7M044QS","text":"USGS data release","linkHelpText":"TRIGRS version 2.1"},{"id":438602,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F73J3B27","text":"USGS data release","linkHelpText":"Serial and parallel versions of the Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability Model (TRIGRS)"},{"id":438601,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7ZW1J08","text":"USGS data release","linkHelpText":"Map and model input and output data covering N 40.0  40.375 and W 105.25  105.625 in the northern Colorado Front Range for analysis of debris flow initiation resulting from the storm of September 9  13, 2013"},{"id":331019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"582c2ce6e4b0c253be072c0a","contributors":{"authors":[{"text":"Alvioli, M.","contributorId":36829,"corporation":false,"usgs":true,"family":"Alvioli","given":"M.","affiliations":[],"preferred":false,"id":653839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baum, R.L.","contributorId":68752,"corporation":false,"usgs":true,"family":"Baum","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":653840,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192682,"text":"70192682 - 2016 - Age, sex and social influences on adult survival in the cooperatively breeding Karoo Scrub-robin","interactions":[],"lastModifiedDate":"2017-11-08T14:48:54","indexId":"70192682","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1494,"text":"Emu","active":true,"publicationSubtype":{"id":10}},"title":"Age, sex and social influences on adult survival in the cooperatively breeding Karoo Scrub-robin","docAbstract":"<p><span>Among cooperatively breeding species, helpers are hypothesised to increase the survival of breeders by reducing breeder workload in offspring care and increased group vigilance against predators. Furthermore, parental nepotism or other benefits of group living may provide a survival benefit to young that delay dispersal to help. We tested these hypotheses in the Karoo Scrub-robin (</span><i>Cercotrichas coryphaeus</i><span>), a long-lived, and facultative cooperatively breeding species in which male helpers make substantial contributions to the care of young. We found that annual breeder survival in the presence of helpers did not differ detectably from breeders without helpers or breeders that lost helpers. Furthermore, helpers did not gain a survival benefit from deferred breeding; apparent survival did not differ detectably between male helpers and male breeders followed from one year old. These results are consistent with other studies suggesting a lack of adult survival benefits among species where breeders do not substantially reduce workloads when helpers are present. They are also consistent with the hypothesis that males that delay dispersal make the ‘best of a bad job’ by helping on their natal territory to gain indirect fitness benefits when they are unable to obtain a territory vacancy nearby.</span></p>","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/MU15076","usgsCitation":"Lloyd, P., Martin, T.E., Taylor, A., Braae, A., and Altwegg, R., 2016, Age, sex and social influences on adult survival in the cooperatively breeding Karoo Scrub-robin: Emu, v. 116, no. 4, p. 394-401, https://doi.org/10.1071/MU15076.","productDescription":"8 p.","startPage":"394","endPage":"401","ipdsId":"IP-067108","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348481,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"116","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-17","publicationStatus":"PW","scienceBaseUri":"5a0425c1e4b0dc0b45b453f7","contributors":{"authors":[{"text":"Lloyd, Penn","contributorId":200179,"corporation":false,"usgs":false,"family":"Lloyd","given":"Penn","email":"","affiliations":[],"preferred":false,"id":721321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Andrew","contributorId":200183,"corporation":false,"usgs":false,"family":"Taylor","given":"Andrew","affiliations":[],"preferred":false,"id":721322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Braae, Anne","contributorId":200184,"corporation":false,"usgs":false,"family":"Braae","given":"Anne","email":"","affiliations":[],"preferred":false,"id":721323,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Altwegg, Res","contributorId":171528,"corporation":false,"usgs":false,"family":"Altwegg","given":"Res","email":"","affiliations":[],"preferred":false,"id":721324,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70184330,"text":"70184330 - 2016 - Predicting arsenic in drinking water wells of the Central Valley, California","interactions":[],"lastModifiedDate":"2018-09-12T16:43:45","indexId":"70184330","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Predicting arsenic in drinking water wells of the Central Valley, California","docAbstract":"<p><span>Probabilities of arsenic in groundwater at depths used for domestic and public supply in the Central Valley of California are predicted using weak-learner ensemble models (boosted regression trees, BRT) and more traditional linear models (logistic regression, LR). Both methods captured major processes that affect arsenic concentrations, such as the chemical evolution of groundwater, redox differences, and the influence of aquifer geochemistry. Inferred flow-path length was the most important variable but near-surface-aquifer geochemical data also were significant. A unique feature of this study was that previously predicted nitrate concentrations in three dimensions were themselves predictive of arsenic and indicated an important redox effect at &gt;10 μg/L, indicating low arsenic where nitrate was high. Additionally, a variable representing three-dimensional aquifer texture from the Central Valley Hydrologic Model was an important predictor, indicating high arsenic associated with fine-grained aquifer sediment. BRT outperformed LR at the 5 μg/L threshold in all five predictive performance measures and at 10 μg/L in four out of five measures. BRT yielded higher prediction sensitivity (39%) than LR (18%) at the 10 μg/L threshold–a useful outcome because a major objective of the modeling was to improve our ability to predict high arsenic areas.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.6b01914","usgsCitation":"Ayotte, J.D., Nolan, B.T., and Gronberg, J.M., 2016, Predicting arsenic in drinking water wells of the Central Valley, California: Environmental Science & Technology, v. 50, no. 14, p. 7555-7563, https://doi.org/10.1021/acs.est.6b01914.","productDescription":"9 p.","startPage":"7555","endPage":"7563","ipdsId":"IP-074943","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":336970,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","volume":"50","issue":"14","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-11","publicationStatus":"PW","scienceBaseUri":"58bfd4f6e4b014cc3a3ba4c8","contributors":{"authors":[{"text":"Ayotte, Joseph D. 0000-0002-1892-2738 jayotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1892-2738","contributorId":149619,"corporation":false,"usgs":true,"family":"Ayotte","given":"Joseph","email":"jayotte@usgs.gov","middleInitial":"D.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":681021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nolan, Bernard T. 0000-0002-6945-9659 btnolan@usgs.gov","orcid":"https://orcid.org/0000-0002-6945-9659","contributorId":2190,"corporation":false,"usgs":true,"family":"Nolan","given":"Bernard","email":"btnolan@usgs.gov","middleInitial":"T.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":681022,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gronberg, JoAnn M. 0000-0003-4822-7434 jmgronbe@usgs.gov","orcid":"https://orcid.org/0000-0003-4822-7434","contributorId":3548,"corporation":false,"usgs":true,"family":"Gronberg","given":"JoAnn","email":"jmgronbe@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":681023,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70184453,"text":"70184453 - 2016 - Design and testing of a mesocosm-scale habitat for culturing the endangered Devils Hole Pupfish","interactions":[],"lastModifiedDate":"2017-03-09T11:24:19","indexId":"70184453","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2885,"text":"North American Journal of Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Design and testing of a mesocosm-scale habitat for culturing the endangered Devils Hole Pupfish","docAbstract":"<p><span>aptive propagation of desert spring fishes, whether for conservation or research, is often difficult, given the unique and often challenging environments these fish utilize in nature. High temperatures, low dissolved oxygen, minimal water flow, and highly variable lighting are some conditions a researcher might need to recreate to simulate their natural environments. Here we describe a mesocosm-scale habitat created to maintain hybrid Devils Hole × Ash Meadows Amargosa Pupfish (</span><i>Cyprinodon diabolis × C. nevadensis mionectes</i><span>) under conditions similar to those found in Devils Hole, Nevada. This 13,000-L system utilized flow control and natural processes to maintain these conditions rather than utilizing complex and expensive automation. We designed a rotating solar collector to control natural sunlight, a biological reactor to consume oxygen while buffering water quality, and a reverse-daylight photosynthesis sump system to stabilize nighttime pH and swings in dissolved oxygen levels. This system successfully controlled many desired parameters and helped inform development of a larger, more permanent desert fish conservation facility at the U.S. Fish and Wildlife Service’s Ash Meadows National Wildlife Refuge, Nevada. For others who need to raise fish from unique habitats, many components of the scalable and modular design of this system can be adapted at reasonable cost.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15222055.2016.1159626","usgsCitation":"Feuerbacher, O., Bonar, S.A., and Barrett, P.J., 2016, Design and testing of a mesocosm-scale habitat for culturing the endangered Devils Hole Pupfish: North American Journal of Aquaculture, v. 78, no. 3, p. 259-269, https://doi.org/10.1080/15222055.2016.1159626.","productDescription":"11 p.","startPage":"259","endPage":"269","ipdsId":"IP-076020","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":337163,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-22","publicationStatus":"PW","scienceBaseUri":"58c277dbe4b014cc3a3e76cf","contributors":{"authors":[{"text":"Feuerbacher, Olin","contributorId":187760,"corporation":false,"usgs":false,"family":"Feuerbacher","given":"Olin","affiliations":[],"preferred":false,"id":681593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":681588,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barrett, Paul J.","contributorId":187761,"corporation":false,"usgs":false,"family":"Barrett","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":681594,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70182781,"text":"70182781 - 2016 - The statistical power to detect cross-scale interactions at macroscales","interactions":[],"lastModifiedDate":"2017-03-01T12:46:23","indexId":"70182781","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"The statistical power to detect cross-scale interactions at macroscales","docAbstract":"<p><span>Macroscale studies of ecological phenomena are increasingly common because stressors such as climate and land-use change operate at large spatial and temporal scales. Cross-scale interactions (CSIs), where ecological processes operating at one spatial or temporal scale interact with processes operating at another scale, have been documented in a variety of ecosystems and contribute to complex system dynamics. However, studies investigating CSIs are often dependent on compiling multiple data sets from different sources to create multithematic, multiscaled data sets, which results in structurally complex, and sometimes incomplete data sets. The statistical power to detect CSIs needs to be evaluated because of their importance and the challenge of quantifying CSIs using data sets with complex structures and missing observations. We studied this problem using a spatially hierarchical model that measures CSIs between regional agriculture and its effects on the relationship between lake nutrients and lake productivity. We used an existing large multithematic, multiscaled database, LAke multiscaled GeOSpatial, and temporal database (LAGOS), to parameterize the power analysis simulations. We found that the power to detect CSIs was more strongly related to the number of regions in the study rather than the number of lakes nested within each region. CSI power analyses will not only help ecologists design large-scale studies aimed at detecting CSIs, but will also focus attention on CSI effect sizes and the degree to which they are ecologically relevant and detectable with large data sets.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.1417","usgsCitation":"Wagner, T., Fergus, C.E., Stow, C., Cheruvelil, K.S., and Soranno, P.A., 2016, The statistical power to detect cross-scale interactions at macroscales: Ecosphere, v. 7, no. 7, HTML document , https://doi.org/10.1002/ecs2.1417.","productDescription":"HTML document ","ipdsId":"IP-071692","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470783,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1417","text":"Publisher Index Page"},{"id":336753,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-28","publicationStatus":"PW","scienceBaseUri":"58b7eba8e4b01ccd5500bb1b","contributors":{"authors":[{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":673735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fergus, C. Emi","contributorId":150608,"corporation":false,"usgs":false,"family":"Fergus","given":"C.","email":"","middleInitial":"Emi","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":680427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stow, Craig A.","contributorId":49733,"corporation":false,"usgs":true,"family":"Stow","given":"Craig A.","affiliations":[],"preferred":false,"id":680428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cheruvelil, Kendra S.","contributorId":172029,"corporation":false,"usgs":false,"family":"Cheruvelil","given":"Kendra","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":680429,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soranno, Patricia A.","contributorId":172104,"corporation":false,"usgs":false,"family":"Soranno","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":680430,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193718,"text":"70193718 - 2016 - A large refined catalog of earthquake relocations and focal mechanisms for the Island of Hawai'i and its seismotectonic implications","interactions":[],"lastModifiedDate":"2017-11-03T18:41:11","indexId":"70193718","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"A large refined catalog of earthquake relocations and focal mechanisms for the Island of Hawai'i and its seismotectonic implications","docAbstract":"<p>We present high-quality focal mechanisms based on a refined earthquake location catalog for the Island of Hawai'i, focusing on Mauna Loa and Kīlauea volcanoes. The relocation catalog is based on first-arrival times and waveform data of both compressional and shear waves for about 180,000 events on and near the Island of Hawai'i between 1986 and 2009 recorded by the seismic stations at the Hawaiian Volcano Observatory. We relocate all the earthquakes by applying ray tracing through an existing three-dimensional velocity model, similar event cluster analysis, and a differential-time relocation method. The resulting location catalog represents an expansion of previous relocation studies, covering a longer time period and consisting of more events with well-constrained absolute locations. The focal mechanisms are obtained based on the compressional-wave first-motion polarities and compressional-to-shear wave amplitude ratios by applying the HASH program to the waveform cross correlation relocated earthquakes. Overall, the good-quality (defined by the HASH parameters) focal solutions are dominated by normal faulting in our study area, especially in the active Ka'ōiki and Hīlea seismic zones. Kīlauea caldera is characterized by a mixture of approximately equal numbers of normal, strike-slip, and reverse faults, whereas its south flank has slightly fewer strike-slip events. Our relocation and focal mechanism results will be useful for mapping the seismic stress and strain fields and for understanding the seismic-volcanic-tectonic relationships within the magmatic systems.</p>","language":"English","publisher":"AGU","doi":"10.1002/2016JB013042","usgsCitation":"Lin, G., and Okubo, P.G., 2016, A large refined catalog of earthquake relocations and focal mechanisms for the Island of Hawai'i and its seismotectonic implications: Journal of Geophysical Research, v. 121, no. 7, p. 5031-5048, https://doi.org/10.1002/2016JB013042.","productDescription":"18 p.","startPage":"5031","endPage":"5048","ipdsId":"IP-076229","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470801,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jb013042","text":"Publisher Index Page"},{"id":348180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Island of Hawai'i","volume":"121","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-09","publicationStatus":"PW","scienceBaseUri":"59fd802ae4b0531197b50148","contributors":{"authors":[{"text":"Lin, Guoqing","contributorId":168856,"corporation":false,"usgs":false,"family":"Lin","given":"Guoqing","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":720042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Okubo, Paul G. 0000-0002-0381-6051 pokubo@usgs.gov","orcid":"https://orcid.org/0000-0002-0381-6051","contributorId":2730,"corporation":false,"usgs":true,"family":"Okubo","given":"Paul","email":"pokubo@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":720041,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70155914,"text":"70155914 - 2016 - Geology and hydrocarbon potential of the Dead Sea Rift Basins of Israel and Jordan","interactions":[],"lastModifiedDate":"2016-07-08T12:20:26","indexId":"70155914","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5128,"text":"GCSSEPM Foundation Perkins-Rosen Research Conference Proceedings","active":true,"publicationSubtype":{"id":10}},"title":"Geology and hydrocarbon potential of the Dead Sea Rift Basins of Israel and Jordan","docAbstract":"<p id=\"p-53\">Following its middle Miocene inception, numerous basins of varying lengths and depths developed along the Dead Sea fault zone, a large continental transform plate boundary. The modern day left-lateral fault zone has an accumulated left-lateral offset of 105 to 110 km (65 to 68 mi). The deepest basin along the fault zone, the Lake Lisan or Dead Sea basin, reaches depths of 7.5 to 8.5 km (24,500 ft to 28,000 ft), and shows evidence of hydrocarbons. The basins are compartmentalized by normal faulting associated with rapid basin subsidence and, where present, domal uplift accompanying synrift salt withdrawal.</p>\n<p id=\"p-54\">The stratigraphy of the fault zone is composed of a thick pre-wrench interval of early Tertiary to Precambrian strata overlain by a syn-wrench section of Miocene to Recent sediments. The main potential source rock is the pre-wrench Cretaceous Maastrichtian Ghareb Formation (and equivalents), which has a total organic carbon (TOC) content measurement of 8 to 18%. Lesser potential source rocks may also be found in the Pleistocene, Cretaceous (Turonian), Jurassic (Oxfordian&ndash;Callovian), and Triassic (Ladinian&ndash;Carnian).</p>\n<p id=\"p-55\">Geochemical analyses indicate that the source of all oils, asphalts, and tars recovered in the Lake Lisan basin is the Ghareb Formation. Geothermal gradients along the Dead Sea fault zone vary from basin to basin. Syn-wrench potential reservoir rocks are highly porous and permeable, whereas pre-wrench strata commonly exhibit lower porosity and permeability. Biogenic gas has been produced from Pleistocene reservoirs. Potential sealing intervals may be present in Neogene evaporites and tight lacustrine limestones and shales. Simple structural traps are not evident; however, subsalt traps may exist. Unconventional source rock reservoir potential has not been tested.</p>","language":"English","publisher":"GCSSEPM Foundation","doi":"10.5724/gcs.15.34.0521","usgsCitation":"Coleman, J.L., and ten Brink, U., 2016, Geology and hydrocarbon potential of the Dead Sea Rift Basins of Israel and Jordan: GCSSEPM Foundation Perkins-Rosen Research Conference Proceedings, v. 34, p. 521-553, https://doi.org/10.5724/gcs.15.34.0521.","productDescription":"33 p.","startPage":"521","endPage":"553","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067308","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":324920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-01","publicationStatus":"PW","scienceBaseUri":"5780ceb7e4b081161682234b","contributors":{"authors":[{"text":"Coleman, James L. jlcoleman@usgs.gov","contributorId":141060,"corporation":false,"usgs":true,"family":"Coleman","given":"James","email":"jlcoleman@usgs.gov","middleInitial":"L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":566804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":566805,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70191680,"text":"70191680 - 2016 - Effects of seasonal weather on breeding phenology and reproductive success of alpine ptarmigan in Colorado","interactions":[],"lastModifiedDate":"2017-10-17T16:20:32","indexId":"70191680","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Effects of seasonal weather on breeding phenology and reproductive success of alpine ptarmigan in Colorado","docAbstract":"<p><span>Animal populations occurring at high elevations are often assumed to be in peril of extinctions or local extirpations due to elevational-dispersal limitations and thermoregulatory constraints as habitats change and warm. However, long-term monitoring of high-elevation populations is uncommon relative to those occurring at lower elevations, and evidence supporting this assumption is limited. We analyzed 45 years of reproductive data for two Colorado populations of white-tailed ptarmigan (</span><i>Lagopus leucura</i><span>), an alpine-endemic species with restricted distribution in western North America. Seasonal temperatures measured by the number of growing degree days warmed significantly at our study sites for pre-nesting, nesting, and brood-rearing seasonal periods (mean advance of 8 growing degree days per decade), and both populations advanced their reproductive phenology over the study period based on median hatch dates (median advance of 3.7 and 1.9 days per decade for the northern and southern sites, respectively). Reproductive performance measured by the number of chicks per hen declined significantly at one study site but not the other, and differences between sites may have been due to habitat degradation at one study area. Annual variability in chicks per hen was large at both sites but only weakly related to seasonal weather. An index of precipitation and temperature during the brood-rearing period was the best predictor for reproductive success with warm and dry conditions relating positively to number of chicks per hen. Our results provide evidence for two alpine ptarmigan populations that are remarkably invariant to fluctuations in seasonal weather with respect to reproductive success as measured by number of chicks per hen in the breeding population. These results are surprising given the general perception of alpine animal populations as being highly sensitive to warming temperatures.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0158913","usgsCitation":"Wann, G.T., Aldridge, C.L., and Braun, C.E., 2016, Effects of seasonal weather on breeding phenology and reproductive success of alpine ptarmigan in Colorado: PLoS ONE, v. 11, no. 7, p. 1-16, https://doi.org/10.1371/journal.pone.0158913.","productDescription":"e0158913; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-066508","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":470799,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0158913","text":"Publisher Index Page"},{"id":346754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","volume":"11","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-15","publicationStatus":"PW","scienceBaseUri":"59e71693e4b05fe04cd331b6","contributors":{"authors":[{"text":"Wann, Gregory T. 0000-0001-9076-7819 wanng@usgs.gov","orcid":"https://orcid.org/0000-0001-9076-7819","contributorId":3855,"corporation":false,"usgs":true,"family":"Wann","given":"Gregory","email":"wanng@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":713046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":713047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Braun, Clait E.","contributorId":59368,"corporation":false,"usgs":true,"family":"Braun","given":"Clait","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":713048,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175080,"text":"70175080 - 2016 - Seasonal sediment dynamics shape temperate bedrock reef communities","interactions":[],"lastModifiedDate":"2016-10-04T09:16:28","indexId":"70175080","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal sediment dynamics shape temperate bedrock reef communities","docAbstract":"<p><span>Mobilized seafloor sediment can impact benthic reef communities through burial, scour, and turbidity. These processes are ubiquitous in coastal oceans and, through their influence on the survival, fitness, and interactions of species, can alter the structure and function of benthic communities. In northern Monterey Bay, California, USA, as much as 30% of the seafloor is buried or exposed seasonally, making this an ideal location to test how subtidal temperate rocky reef communities vary in the presence and absence of chronic sediment-based disturbances. Designated dynamic plots were naturally inundated by sediment in summer (50 to 100% cover) and swept clean in winter, whereas designated stable plots remained free of sediment during our study. Multivariate analyses indicated significant differences in the structure of sessile and mobile communities between dynamic and stable reef habitats. For sessile species, community structure in disturbed plots was less variable in space and time than in stable plots due to the maintenance of an early successional state. In contrast, community structure of mobile species varied more in disturbed plots than in stable plots, reflecting how mobile species distribute in response to sediment dynamics. Some species were found only in these disturbed areas, suggesting that the spatial mosaic of disturbance could increase regional diversity. We discuss how the relative ability of species to tolerate disturbance at different life history stages and their ability to colonize habitat translate into community-level differences among habitats, and how this response varies between mobile and sessile communities.</span></p>","language":"English","publisher":"Inter-Research","doi":"10.3354/meps11763","usgsCitation":"Figurski, J.D., Freiwald, J., Lonhart, S.I., and Storlazzi, C.D., 2016, Seasonal sediment dynamics shape temperate bedrock reef communities: Marine Ecology Progress Series, v. 552, p. 19-29, https://doi.org/10.3354/meps11763.","productDescription":"11 p.","startPage":"19","endPage":"29","ipdsId":"IP-059376","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470781,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps11763","text":"Publisher Index Page"},{"id":329252,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Monterey Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.08136558532713,\n              36.94316941700314\n            ],\n            [\n              -122.08136558532713,\n              36.962923262794064\n            ],\n            [\n              -122.02119827270508,\n              36.962923262794064\n            ],\n            [\n              -122.02119827270508,\n              36.94316941700314\n            ],\n            [\n              -122.08136558532713,\n              36.94316941700314\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"552","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7c6a8e4b0bc0bec09caa9","contributors":{"authors":[{"text":"Figurski, Jared D.","contributorId":16307,"corporation":false,"usgs":true,"family":"Figurski","given":"Jared","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":643860,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freiwald, Jan","contributorId":15505,"corporation":false,"usgs":true,"family":"Freiwald","given":"Jan","email":"","affiliations":[],"preferred":false,"id":643861,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lonhart, Steve I.","contributorId":104381,"corporation":false,"usgs":true,"family":"Lonhart","given":"Steve","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":643862,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":643859,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179387,"text":"70179387 - 2016 - A point mutation in the polymerase protein PB2 allows a reassortant H9N2 influenza isolate of wild-bird origin to replicate in human cells.","interactions":[],"lastModifiedDate":"2016-12-30T10:49:18","indexId":"70179387","displayToPublicDate":"2016-07-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1988,"text":"Infection, Genetics and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"A point mutation in the polymerase protein PB2 allows a reassortant H9N2 influenza isolate of wild-bird origin to replicate in human cells.","docAbstract":"H9N2 influenza A viruses are on the list of potentially pandemic subtypes. Therefore, it is important to understand how genomic reassortment and genetic polymorphisms affect phenotypes of H9N2 viruses circulating in the wild bird reservoir. A comparative genetic analysis of North American H9N2 isolates of wild bird origin identified a naturally occurring reassortant virus containing gene segments derived from both North American and Eurasian lineage ancestors. The PB2 segment of this virus encodes 10 amino acid changes that distinguish it from other H9 strains circulating in North America. G590S, one of the 10 amino acid substitutions observed, was present in ~ 12% of H9 viruses worldwide. This mutation combined with R591 has been reported as a marker of pathogenicity for human pandemic 2009 H1N1 viruses. Screening by polymerase reporter assay of all the natural polymorphisms at these two positions identified G590/K591 and S590/K591 as the most active, with the highest polymerase activity recorded for the SK polymorphism. Rescued viruses containing these two polymorphic combinations replicated more efficiently in MDCK cells and they were the only ones tested that were capable of establishing productive infection in NHBE cells. A global analysis of all PB2 sequences identified the K591 signature in six viral HA/NA subtypes isolated from several hosts in seven geographic locations. Interestingly, introducing the K591 mutation into the PB2 of a human-adapted H3N2 virus did not affect its polymerase activity. Our findings demonstrate that a single point mutation in the PB2 of a low pathogenic H9N2 isolate could have a significant effect on viral phenotype and increase its propensity to infect mammals. However, this effect is not universal, warranting caution in interpreting point mutations without considering protein sequence context.","language":"English","publisher":"Elsevier ","doi":"10.1016/j.meegid.2016.04.011","usgsCitation":"Hussein, I.T., Ma, E.J., Meixell, B.W., Hill, N., Lindberg, M.S., Albrecht, R.A., Bahl, J., and Runstadler, J.A., 2016, A point mutation in the polymerase protein PB2 allows a reassortant H9N2 influenza isolate of wild-bird origin to replicate in human cells.: Infection, Genetics and Evolution, v. 41, p. 279-288, https://doi.org/10.1016/j.meegid.2016.04.011.","productDescription":"10 p.","startPage":"279","endPage":"288","ipdsId":"IP-071158","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":470788,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1721.1/133904","text":"External Repository"},{"id":332680,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"586781f8e4b0cd2dabe7c71b","contributors":{"authors":[{"text":"Hussein, Islam T.M.","contributorId":177787,"corporation":false,"usgs":false,"family":"Hussein","given":"Islam","email":"","middleInitial":"T.M.","affiliations":[],"preferred":false,"id":657049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ma, Eric J.","contributorId":177788,"corporation":false,"usgs":false,"family":"Ma","given":"Eric","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":657050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":657020,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hill, Nichola J.","contributorId":30342,"corporation":false,"usgs":true,"family":"Hill","given":"Nichola J.","affiliations":[],"preferred":false,"id":657051,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lindberg, Mark S.","contributorId":63292,"corporation":false,"usgs":false,"family":"Lindberg","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":657052,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Albrecht, Randy A.","contributorId":177789,"corporation":false,"usgs":false,"family":"Albrecht","given":"Randy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":657053,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bahl, Justin","contributorId":171803,"corporation":false,"usgs":false,"family":"Bahl","given":"Justin","affiliations":[{"id":26950,"text":"University of Texas School of Public Health, 1200 Pressler Street, Houston, TX 77030, USA","active":true,"usgs":false}],"preferred":false,"id":657054,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Runstadler, Jonathan A.","contributorId":24706,"corporation":false,"usgs":false,"family":"Runstadler","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":657055,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70175249,"text":"70175249 - 2016 - The impact of onsite wastewater disposal systems on groundwater in areas inundated by Hurricane Sandy in New York and New Jersey","interactions":[],"lastModifiedDate":"2018-08-07T12:22:24","indexId":"70175249","displayToPublicDate":"2016-06-30T18:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"The impact of onsite wastewater disposal systems on groundwater in areas inundated by Hurricane Sandy in New York and New Jersey","docAbstract":"<p><span>Coastal onsite wastewater disposal systems (OWDS) were inundated by Hurricane Sandy's storm tide. This study compares the shallow groundwater quality (nutrients, pharmaceuticals, and hormones) downgradient of OWDS before and after Hurricane Sandy, where available, and establishes a baseline for wastewater influence on groundwater in coastal communities inundated by Hurricane Sandy. Nutrients and contaminants of emerging concern (CECs) were detected in shallow groundwater downgradient of OWDS in two settings along the New Jersey and New York coastlines: 1) a single, centralized OWDS in a park; and 2) multiple OWDS (cesspools) in low-density residential and mixed-use/medium density residential areas. The most frequently detected pharmaceuticals were lidocaine (40%), carbamazepine (36%), and fexofenadine, bupropion, desvenlafaxine, meprobamate, and tramadol (24&ndash;32%). Increases in the number and total concentration of pharmaceuticals after Hurricane Sandy may reflect other factors (seasonality, usage) besides inundation, and demonstrate the importance of analyzing for a wide variety of CECs in regional studies.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2016.04.038","usgsCitation":"Fisher, I., Phillips, P.J., Colella, K., Fisher, S.C., Tagliaferri, T.N., Foreman, W., and Furlong, E.T., 2016, The impact of onsite wastewater disposal systems on groundwater in areas inundated by Hurricane Sandy in New York and New Jersey: Marine Pollution Bulletin, v. 107, no. 2, p. 509-517, https://doi.org/10.1016/j.marpolbul.2016.04.038.","productDescription":"9 p.","startPage":"509","endPage":"517","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069552","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology 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","email":"wforeman@usgs.gov","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":false,"id":644538,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":644539,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70159913,"text":"70159913 - 2016 - Rare earths: Market disruption, innovation, and global supply chains","interactions":[],"lastModifiedDate":"2020-12-17T20:33:59.752908","indexId":"70159913","displayToPublicDate":"2016-06-30T15:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5122,"text":"Environment and Resources","active":true,"publicationSubtype":{"id":10}},"title":"Rare earths: Market disruption, innovation, and global supply chains","docAbstract":"<p><span>Rare earths, sometimes called the vitamins of modern materials, captured public attention when their prices increased more than ten-fold in 2010 and 2011. As prices fell between 2011 and 2016, rare earths receded from public view&mdash;but less visibly they became a major focus of innovative activity in companies, government laboratories and universities. Geoscientists worked to better understand the resource base and improve our knowledge about mineral deposits that will be mines in the future. Process engineers carried out research that is making primary production and recycling more efficient. Materials scientists and engineers searched for substitutes that will require fewer or no rare earths while providing properties comparable or superior to those of existing materials. As a result, even though global supply chains are not significantly different now than they were before the market disruption, the innovative activity motivated by the disruption likely will have far-reaching, if unpredictable, consequences for supply chains of rare earths in the future.</span></p>","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-environ-110615-085700","usgsCitation":"Eggert, R., Wadia, C., Anderson, C., Bauer, D., Fields, F., Meinert, L.D., and Taylor, P., 2016, Rare earths: Market disruption, innovation, and global supply chains: Environment and Resources, v. 41, p. 199-222, https://doi.org/10.1146/annurev-environ-110615-085700.","productDescription":"24 p.","startPage":"199","endPage":"222","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071063","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":324688,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5776349de4b07dd077c829cd","contributors":{"authors":[{"text":"Eggert, Roderick","contributorId":172613,"corporation":false,"usgs":false,"family":"Eggert","given":"Roderick","email":"","affiliations":[],"preferred":false,"id":641416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wadia, Cyrus","contributorId":172614,"corporation":false,"usgs":false,"family":"Wadia","given":"Cyrus","email":"","affiliations":[],"preferred":false,"id":641417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Corby","contributorId":172615,"corporation":false,"usgs":false,"family":"Anderson","given":"Corby","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":641418,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bauer, Diana","contributorId":172616,"corporation":false,"usgs":false,"family":"Bauer","given":"Diana","email":"","affiliations":[],"preferred":false,"id":641419,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fields, Fletcher","contributorId":172617,"corporation":false,"usgs":false,"family":"Fields","given":"Fletcher","email":"","affiliations":[],"preferred":false,"id":641420,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meinert, Lawrence D. lmeinert@usgs.gov","contributorId":1639,"corporation":false,"usgs":true,"family":"Meinert","given":"Lawrence","email":"lmeinert@usgs.gov","middleInitial":"D.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":581014,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Taylor, Patrick","contributorId":172618,"corporation":false,"usgs":false,"family":"Taylor","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":641421,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70160021,"text":"70160021 - 2016 - Episodic bedrock erosion by gully-head migration, Colorado High Plains, USA","interactions":[],"lastModifiedDate":"2016-09-06T13:49:27","indexId":"70160021","displayToPublicDate":"2016-06-30T14:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Episodic bedrock erosion by gully-head migration, Colorado High Plains, USA","docAbstract":"<p><span>This study explores the frequency of bedrock exposure in a soil-mantled low-relief (i.e. non-mountainous) landscape. In the High Plains of eastern Colorado, gully headcuts are among the few erosional features that will incise through the soil mantle to expose bedrock. We measured the last time of bedrock exposure using optically stimulated luminescence dating of alluvial sediment overlying bedrock in gully headcuts. Our dating suggests that headcuts in adjacent gullies expose bedrock asynchronously, and therefore, the headcuts are unlikely to have been triggered by a base-level drop in the trunk stream. This finding supports the hypothesis that headcuts can develop locally in gullies as a result of focused scour in locations where hydraulic stress during a flash flood is sufficiently high, and/or ground cover is sufficiently weak, to generate a scour hole that undermines vegetation. Alluvium dating also reveals that gullies have been a persistent part of this landscape since the early Holocene.&nbsp;</span></p>","language":"English","publisher":"John Wiley and Sons","doi":"10.1002/esp.3929","usgsCitation":"Rengers, F.K., Tucker, G., and Mahan, S., 2016, Episodic bedrock erosion by gully-head migration, Colorado High Plains, USA: Earth Surface Processes and Landforms, v. 41, no. 11, p. 1574-1582, https://doi.org/10.1002/esp.3929.","productDescription":"9 p.","startPage":"1574","endPage":"1582","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071039","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":324686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.1,\n              39\n            ],\n            [\n              -105.1,\n              40\n            ],\n            [\n              -103.7,\n              40\n            ],\n            [\n              -103.7,\n              39\n            ],\n            [\n              -105.1,\n              39\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"41","issue":"11","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-20","publicationStatus":"PW","scienceBaseUri":"5776349ce4b07dd077c829b4","contributors":{"authors":[{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":581612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tucker, G.E.","contributorId":150423,"corporation":false,"usgs":false,"family":"Tucker","given":"G.E.","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":581613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahan, Shannon 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":1215,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":581614,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70174453,"text":"70174453 - 2016 - Comparison of wastewater-associated contaminants in the bed sediment of Hempstead Bay, New York, before and after Hurricane Sandy","interactions":[],"lastModifiedDate":"2018-08-09T12:19:14","indexId":"70174453","displayToPublicDate":"2016-06-30T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of wastewater-associated contaminants in the bed sediment of Hempstead Bay, New York, before and after Hurricane Sandy","docAbstract":"<p class=\"p1\"><span class=\"s1\">Changes in bed sediment chemistry of Hempstead Bay (HB) have been evaluated in the wake of Hurricane Sandy, which resulted in the release of billions of liters of poorly-treated sewage into tributaries and channels throughout the bay. Surficial grab samples (top 5&nbsp;cm) collected before and (or) after Hurricane Sandy from sixteen sites in HB were analyzed for 74 wastewater tracers and steroid hormones, and total organic carbon. Data from pre- and post-storm comparisons of the most frequently detected wastewater tracers and ratios of steroid hormone and of polycyclic aromatic hydrocarbon concentrations indicate an increased sewage signal near outfalls and downstream of where raw sewage was discharged. Median concentration of wastewater tracers decreased after the storm at sites further from outfalls. Overall, changes in sediment quality probably resulted from a combination of additional sewage inputs, sediment redistribution, and stormwater runoff in the days to weeks following Hurricane Sandy.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2016.03.044","usgsCitation":"Fisher, S.C., Phillips, P.J., Brownawell, B., and Browne, J., 2016, Comparison of wastewater-associated contaminants in the bed sediment of Hempstead Bay, New York, before and after Hurricane Sandy: Marine Pollution Bulletin, v. 107, no. 2, p. 499-508, https://doi.org/10.1016/j.marpolbul.2016.03.044.","productDescription":"10 p.","startPage":"499","endPage":"508","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069548","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":325102,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Hempstead Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.828125,\n              40.538851525354644\n            ],\n            [\n              -73.828125,\n              40.71499673906409\n            ],\n            [\n              -73.35708618164062,\n              40.71499673906409\n            ],\n            [\n              -73.35708618164062,\n              40.538851525354644\n            ],\n            [\n              -73.828125,\n              40.538851525354644\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"107","issue":"2","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579dc1a3e4b0589fa1cb7d82","contributors":{"authors":[{"text":"Fisher, Shawn C. 0000-0001-6324-1061 scfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-6324-1061","contributorId":4843,"corporation":false,"usgs":true,"family":"Fisher","given":"Shawn","email":"scfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":642194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Patrick J. 0000-0001-5915-2015 pjphilli@usgs.gov","orcid":"https://orcid.org/0000-0001-5915-2015","contributorId":172757,"corporation":false,"usgs":true,"family":"Phillips","given":"Patrick","email":"pjphilli@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":642195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brownawell, Bruce J.","contributorId":108264,"corporation":false,"usgs":true,"family":"Brownawell","given":"Bruce J.","affiliations":[],"preferred":false,"id":642196,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Browne, James","contributorId":172825,"corporation":false,"usgs":false,"family":"Browne","given":"James","email":"","affiliations":[{"id":27101,"text":"Conservation Biologist, Town of Hempstead Dept of Conservation & Waterways","active":true,"usgs":false}],"preferred":false,"id":642197,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70170965,"text":"sir20165060 - 2016 - Flood-inundation maps for Lake Champlain in Vermont and in northern Clinton County, New York","interactions":[{"subject":{"id":70170965,"text":"sir20165060 - 2016 - Flood-inundation maps for Lake Champlain in Vermont and in northern Clinton County, New York","indexId":"sir20165060","publicationYear":"2016","noYear":false,"title":"Flood-inundation maps for Lake Champlain in Vermont and in northern Clinton County, New York"},"predicate":"SUPERSEDED_BY","object":{"id":70202005,"text":"sir20185169 - 2019 - Flood-inundation maps for Lake Champlain in Vermont and New York","indexId":"sir20185169","publicationYear":"2019","noYear":false,"title":"Flood-inundation maps for Lake Champlain in Vermont and New York"},"id":1}],"supersededBy":{"id":70202005,"text":"sir20185169 - 2019 - Flood-inundation maps for Lake Champlain in Vermont and New York","indexId":"sir20185169","publicationYear":"2019","noYear":false,"title":"Flood-inundation maps for Lake Champlain in Vermont and New York"},"lastModifiedDate":"2022-11-02T14:53:45.691442","indexId":"sir20165060","displayToPublicDate":"2016-06-30T14:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5060","title":"Flood-inundation maps for Lake Champlain in Vermont and in northern Clinton County, New York","docAbstract":"<p>Digital flood-inundation maps for an approximately100-mile length of Lake Champlain in Addison, Chittenden, Franklin, and Grand Isle Counties in Vermont and northern Clinton County in New York were created by the U.S. Geological Survey (USGS) in cooperation with the International Joint Commission (IJC). The flood-inundationmaps, which can be accessed through the International Joint Commission (IJC) Web site at <a href=\"http://www.ijc.org/en_/\" data-mce-href=\"http://www.ijc.org/en_/\">http://www.ijc.org/en_/</a>, depict estimates of the areal extent flooding correspondingto selected water levels (stages) at the USGS lake gage on the Richelieu River (Lake Champlain) at Rouses Point, N.Y. (station number 04295000). In this study, wind and seiche effects (standing oscillating wave with a long wavelength) were not taken into account and the flood-inundation mapsreflect 11 stages (elevations) for Lake Champlain that are static for the study length of the lake. Near-real-time stages at this lake gage, and others on Lake Champlain, may be obtained on the Internet from the USGS National Water Information System at <a href=\"http://waterdata.usgs.gov/\" data-mce-href=\"http://waterdata.usgs.gov/\">http://waterdata.usgs.gov/</a> or the National Weather Service Advanced Hydrologic Prediction Service at <a href=\"http:/water.weather.gov/ahps/\" data-mce-href=\"http:/water.weather.gov/ahps/\">http:/water.weather.gov/ahps/</a>, which also forecasts flood hydrographs at the Richelieu River (Lake Champlain) at Rouses Point.</p><p>Static flood boundary extents were determined for LakeChamplain in Addison, Chittenden, Franklin, and Grand Isle Counties in Vermont and northern Clinton County in New York using recently acquired (2013–2014) lidar (light detection and ranging) and may be referenced to any of the five USGS lake gages on Lake Champlain. Of these five lakgages, USGS lake gage 04295000, Richelieu River (Lake Champlain) at Rouses Point, N.Y., is the only USGS lake gage that is also a National Weather Service prediction location. Flood boundary extents for the Lake Champlain static flood-inundation map corresponding to the May 201 flood(103.2 feet [ft], National Geodetic Vertical Datum [NGVD] 29) were evaluated by comparing these boundary extents against the inundation area extents determined for the May 2011 flood (which incorporated documented high-water marksfrom the flood of May 201) (Bjerklie and others, 2014).</p><p>A digital elevation model (DEM) was created by USGS, within a geographic information system (GIS), from the recently flown and processed light detection and ranging(lidar) data (2013–2014) in Vermont and the lake shore area of northern Clinton County in New York. The lidar data have a vertical accuracy of 0.3 to 0.6-ft (9.6 to 18.0-centimeters [cm]) and a horizontal resolution of 2.3 to 4.6 ft (0.7 to 1.4 meters). This DEM was used in determining the floodboundary for 11 flood stages at 0.5-ft intervals from 100.0 to104.0 ft (NGVD 29) and 1-ft intervals from 104.0 to 106.0 ft (NGVD 29) as referenced to the USGS lake gage 04295000, Richelieu River (Lake Champlain) at Rouses Point, N.Y. In addition, the May 2011 flood-inundation area for elevation103.20 ft (NGVD 29) (102.77 ft, North American Vertical Datum [NAVD] 88) was determined from this DEM. The May 2011 flood is the highest recorded lake water level (stage)at the Rouses Point, N.Y., lake gage. Flood stages greater than 101.5 ft (NGVD 29) exceed the “major flood stage”as defined by the NationalWeather Service for USGS lake gage 04295000.</p><p>The availability of these maps, along with Internet information regarding current stage from the USGS lake gage and forecasted high-flow stages from the NationalWeather Service, will provide emergency management personnel and residents with information that is critical for flood responseactivities such as evacuations and road closures, as well as for post-flood recovery eforts.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165060","collaboration":"Prepared in cooperation with the International Joint Commission","usgsCitation":"Flynn, R.H., and Hayes, Laura, 2016, Flood-inundation maps for Lake Champlain in Vermont and in northern Clinton County, New York: U.S. Geological Survey Scientific Investigations Report 2016–5060, 11 p., https://dx.doi.org/10.3133/sir20165060.","productDescription":"vi, 11 p.","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-068359","costCenters":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"links":[{"id":323821,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5060/sir20165060.pdf","text":"Report","size":"1.54 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5060"},{"id":323820,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5060/coverthb.jpg"}],"country":"United States","state":"New York, Vermont","otherGeospatial":"Lake Champlain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.4600830078125,\n              43.614205328810954\n            ],\n            [\n              -73.4600830078125,\n              45.00753503123719\n            ],\n            [\n              -73.11676025390625,\n              45.00753503123719\n            ],\n            [\n              -73.11676025390625,\n              43.614205328810954\n            ],\n            [\n              -73.4600830078125,\n              43.614205328810954\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\">Director</a>, New England Water Science Center <br /> U.S. Geological Survey <br /> 331 Commerce Way, Suite 2 <br /> Pembroke, NH 03275</p>\n<p>Or visit our Web site at:<br /> <a href=\"http://newengland.water.usgs.gov\">http://newengland.water.usgs.gov</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Creation of Flood-Inundation-Map Library</li><li>Estimating Potential Losses Due to Flooding</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2016-06-30","noUsgsAuthors":false,"publicationDate":"2016-06-30","publicationStatus":"PW","scienceBaseUri":"5776349de4b07dd077c829bb","contributors":{"authors":[{"text":"Flynn, Robert H. rflynn@usgs.gov","contributorId":2137,"corporation":false,"usgs":true,"family":"Flynn","given":"Robert","email":"rflynn@usgs.gov","middleInitial":"H.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":629265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Laura 0000-0002-4488-1343 lhayes@usgs.gov","orcid":"https://orcid.org/0000-0002-4488-1343","contributorId":2791,"corporation":false,"usgs":true,"family":"Hayes","given":"Laura","email":"lhayes@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":629266,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70174026,"text":"ofr20161106 - 2016 - Updated logistic regression equations for the calculation of post-fire debris-flow likelihood in the western United States","interactions":[],"lastModifiedDate":"2016-06-30T14:43:17","indexId":"ofr20161106","displayToPublicDate":"2016-06-30T13:30:00","publicationYear":"2016","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":"2016-1106","title":"Updated logistic regression equations for the calculation of post-fire debris-flow likelihood in the western United States","docAbstract":"<p>Wildfire can significantly alter the hydrologic response of a watershed to the extent that even modest rainstorms can generate dangerous flash floods and debris flows. To reduce public exposure to hazard, the U.S. Geological Survey produces post-fire debris-flow hazard assessments for select fires in the western United States. We use publicly available geospatial data describing basin morphology, burn severity, soil properties, and rainfall characteristics to estimate the statistical likelihood that debris flows will occur in response to a storm of a given rainfall intensity. Using an empirical database and refined geospatial analysis methods, we defined new equations for the prediction of debris-flow likelihood using logistic regression methods. We showed that the new logistic regression model outperformed previous models used to predict debris-flow likelihood.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161106","usgsCitation":"Staley, D.M., Negri, J.A., Kean, J.W., Laber, J.M., Tillery, A.C., and Youberg, A.M., 2016, Updated logistic regression equations for the calculation of post-fire debris-flow likelihood in the western United States: U.S. Geological Survey Open-File Report 2016–1106, 13 p., https://dx.doi.org/ofr20161106.","productDescription":"Report: iv, 13 p.; Appendix 1","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-076051","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":324673,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1106/ofr20161106.pdf","text":"Report","size":"1.73 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1106 Report"},{"id":324672,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1106/coverthb.jpg"},{"id":324675,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1106/ofr20161106_appx-1.xlsx","text":"Appendix 1","size":"268 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2016-1106 Appendix 1"}],"contact":"<p>Center Director, Geologic Hazards Science Center<br>U.S. Geological Survey<br>Box 25046, MS 966<br>Denver, CO 80225-0046</p><p><a href=\"http://geohazards.usgs.gov/\" target=\"_blank\" data-mce-href=\"http://geohazards.usgs.gov/\">http://geohazards.usgs.gov/</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Conclusions</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2016-06-30","noUsgsAuthors":false,"publicationDate":"2016-06-30","publicationStatus":"PW","scienceBaseUri":"5776349ee4b07dd077c829de","contributors":{"authors":[{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":640550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Negri, Jacquelyn A. jnegri@usgs.gov","contributorId":172610,"corporation":false,"usgs":true,"family":"Negri","given":"Jacquelyn","email":"jnegri@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":640551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":640552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Laber, Jayme L.","contributorId":36832,"corporation":false,"usgs":true,"family":"Laber","given":"Jayme","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":640553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tillery, Anne C. 0000-0002-9508-7908 atillery@usgs.gov","orcid":"https://orcid.org/0000-0002-9508-7908","contributorId":2549,"corporation":false,"usgs":true,"family":"Tillery","given":"Anne","email":"atillery@usgs.gov","middleInitial":"C.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":640554,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Youberg, Ann M. 0000-0002-2005-3674","orcid":"https://orcid.org/0000-0002-2005-3674","contributorId":172609,"corporation":false,"usgs":false,"family":"Youberg","given":"Ann","email":"","middleInitial":"M.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address:  TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":true,"id":640555,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70174334,"text":"70174334 - 2016 - Regional variability in bed-sediment concentrations of wastewater compounds, hormones and PAHs for portions of coastal New York and New Jersey impacted by hurricane Sandy","interactions":[],"lastModifiedDate":"2018-08-09T12:05:40","indexId":"70174334","displayToPublicDate":"2016-06-30T13:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Regional variability in bed-sediment concentrations of wastewater compounds, hormones and PAHs for portions of coastal New York and New Jersey impacted by hurricane Sandy","docAbstract":"<p>Bed sediment samples from 79 coastal New York and New Jersey, USA sites were analyzed for 75 compounds including wastewater associated contaminants, PAHs, and other organic compounds to assess the post-Hurricane Sandy distribution of organic contaminants among six regions. These results provide the first assessment of wastewater compounds, hormones, and PAHs in bed sediment for this region. Concentrations of most wastewater contaminants and PAHs were highest in the most developed region (Upper Harbor/Newark Bay, UHNB) and reflected the wastewater inputs to this area. Although the lack of pre-Hurricane Sandy data for most of these compounds make it impossible to assess the effect of the storm on wastewater contaminant concentrations, PAH concentrations in the UHNB region reflect pre-Hurricane Sandy conditions in this region. Lower hormone concentrations than predicted by the total organic carbon relation occurred in UHNB samples, suggesting that hormones are being degraded in the UHNB region.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2016.04.050","usgsCitation":"Phillips, P.J., Gibson, C.A., Fisher, S.C., Fisher, I., Reilly, T.J., Smalling, K., Romanok, K., Foreman, W., ReVello, R., Focazio, M.J., and Jones, D.K., 2016, Regional variability in bed-sediment concentrations of wastewater compounds, hormones and PAHs for portions of coastal New York and New Jersey impacted by hurricane Sandy: Marine Pollution Bulletin, v. 107, no. 2, p. 489-498, https://doi.org/10.1016/j.marpolbul.2016.04.050.","productDescription":"9 p.","startPage":"489","endPage":"498","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069674","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology 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,{"id":70174225,"text":"70174225 - 2016 - Use of multiple sequencing technologies to produce a high-quality genome of the fungus <i>Pseudogymnoascus destructans</i>, the causative agent of bat White-Nose syndrome","interactions":[],"lastModifiedDate":"2016-07-01T12:59:25","indexId":"70174225","displayToPublicDate":"2016-06-30T13:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5099,"text":"Genome Announcements","active":true,"publicationSubtype":{"id":10}},"title":"Use of multiple sequencing technologies to produce a high-quality genome of the fungus <i>Pseudogymnoascus destructans</i>, the causative agent of bat White-Nose syndrome","docAbstract":"<p>White-Nose syndrome has recently emerged as one of the most devastating wildlife diseases recorded, causing widespread mortality in numerous bat species throughout eastern North America. Here, we present an improvised reference genome of the fungal pathogen&nbsp;<i>Pseudogymnoascus destructans</i> for use in comparative genomic studies.</p>","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/genomeA.00445-16","usgsCitation":"Drees, K., Palmer, J.M., Sebra, R., Lorch, J.M., Chen, C., Wu, C., Bok, J.W., Keller, N.F., Blehert, D.S., Cuomo, C.A., Linder, D.L., and Foster, J., 2016, Use of multiple sequencing technologies to produce a high-quality genome of the fungus <i>Pseudogymnoascus destructans</i>, the causative agent of bat White-Nose syndrome: Genome Announcements, v. 4, no. 3, e00445-16; 2 p., https://doi.org/10.1128/genomeA.00445-16.","productDescription":"e00445-16; 2 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074832","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":470804,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Christina A.","contributorId":172607,"corporation":false,"usgs":false,"family":"Cuomo","given":"Christina","email":"","middleInitial":"A.","affiliations":[{"id":27070,"text":"Genome Sequencing and Analysis Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USAg","active":true,"usgs":false}],"preferred":false,"id":641413,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Linder, Daniel L.","contributorId":127718,"corporation":false,"usgs":false,"family":"Linder","given":"Daniel","email":"","middleInitial":"L.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":641414,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Foster, Jeffrey T.","contributorId":8744,"corporation":false,"usgs":true,"family":"Foster","given":"Jeffrey T.","affiliations":[],"preferred":false,"id":641415,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70162329,"text":"70162329 - 2016 - Application of SPARROW modeling to understanding contaminant fate and transport from uplands to streams","interactions":[],"lastModifiedDate":"2016-06-30T11:18:18","indexId":"70162329","displayToPublicDate":"2016-06-30T12:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2126,"text":"JAWRA","active":true,"publicationSubtype":{"id":10}},"title":"Application of SPARROW modeling to understanding contaminant fate and transport from uplands to streams","docAbstract":"<p><span>Understanding spatial variability in contaminant fate and transport is critical to efficient regional water-quality restoration. An approach to capitalize on previously calibrated spatially referenced regression (SPARROW) models to improve the understanding of contaminant fate and transport was developed and applied to the case of nitrogen in the 166,000&nbsp;km</span><sup>2</sup><span>&nbsp;Chesapeake Bay watershed. A continuous function of four hydrogeologic, soil, and other landscape properties significant (</span><i>&alpha;</i><span>&nbsp;=&nbsp;0.10) to nitrogen transport from uplands to streams was evaluated and compared among each of the more than 80,000 individual catchments (mean area, 2.1&nbsp;km</span><sup>2</sup><span>) in the watershed. Budgets (including inputs, losses or net change in storage in uplands and stream corridors, and delivery to tidal waters) were also estimated for nitrogen applied to these catchments from selected upland sources. Most (81%) of such inputs are removed, retained, or otherwise processed in uplands rather than transported to surface waters. Combining SPARROW results with previous budget estimates suggests 55% of this processing is attributable to denitrification, 23% to crop or timber harvest, and 6% to volatilization. Remaining upland inputs represent a net annual increase in landscape storage in soils or biomass exceeding 10&nbsp;kg per hectare in some areas. Such insights are important for planning watershed restoration and for improving future watershed models.</span></p>","language":"English","publisher":"American Water Resources Association","doi":"10.1111/1752-1688.12419","usgsCitation":"Ator, S., and Garcia, A.M., 2016, Application of SPARROW modeling to understanding contaminant fate and transport from uplands to streams: JAWRA, v. 52, no. 3, p. 685-704, https://doi.org/10.1111/1752-1688.12419.","productDescription":"20 p.","startPage":"685","endPage":"704","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071433","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":324676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-09","publicationStatus":"PW","scienceBaseUri":"5776349ce4b07dd077c829aa","contributors":{"authors":[{"text":"Ator, Scott 0000-0002-9186-4837 swator@usgs.gov","orcid":"https://orcid.org/0000-0002-9186-4837","contributorId":152414,"corporation":false,"usgs":true,"family":"Ator","given":"Scott","email":"swator@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":589240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia, Ana Maria 0000-0002-5388-1281 agarcia@usgs.gov","orcid":"https://orcid.org/0000-0002-5388-1281","contributorId":2035,"corporation":false,"usgs":true,"family":"Garcia","given":"Ana","email":"agarcia@usgs.gov","middleInitial":"Maria","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":589241,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70171544,"text":"70171544 - 2016 - Diet of pumas (<i>Puma concolor</i>) in Sonora, Mexico, as determined by GPS kill sites and molecular identified scat, with comments on jaguar (<i>Panthera onca</i>) diet","interactions":[],"lastModifiedDate":"2016-08-02T10:15:17","indexId":"70171544","displayToPublicDate":"2016-06-30T11:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3451,"text":"Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Diet of pumas (<i>Puma concolor</i>) in Sonora, Mexico, as determined by GPS kill sites and molecular identified scat, with comments on jaguar (<i>Panthera onca</i>) diet","docAbstract":"<p><span>We documented puma (</span><i><i>Puma concolor</i></i><span>) and jaguar (</span><i><i>Panthera onca</i></i><span>) prey consumption in northeastern Sonora, Mexico, by investigating global positioning system cluster sites (</span><i>n</i><span>&nbsp;= 220), and conducting molecular analyses of scat (</span><i>n</i><span>&nbsp;= 116) collected between 2011 and 2013. We used camera trap data (</span><i>n</i><span>&nbsp;= 8,976 camera days) to estimate relative abundances of pumas and jaguars. Deer (</span><i><i>Odocoileus virginianus</i></i><span>) was the most frequent prey for puma found at kill sites (67%) and identified from scat (74%), although based on relative numbers of prey consumed, deer represented 45% and lagomorphs 20% of the proportion of all individuals eaten. A variety of small prey (weighing &lt;15 kg) comprised the majority (52%) of the jaguar kill sites. From prey found at kill sites, jaguars killed calves (</span><i><i>Bos taurus</i></i><span>) at a lower frequency than previously reported, whereas pumas preyed on calves at a higher frequency than previously reported in the same area. In our study area, jaguars preyed on calves at approximately the same rate as pumas (jaguars 3.7 calves per year, pumas 4.9 calves per year). Calculated predation rates were limited only to collared animals within our study area and therefore should not be considered applicable to all pumas and jaguars in Sonora.</span></p>","language":"English","publisher":"Southwestern Association of Naturalists","publisherLocation":"Dallas, TX","doi":"10.1894/0038-4909-61.2.125","usgsCitation":"Cassaigne, I., Medellin, R., Thompson, R.W., Culver, M., Ochoa, A., Vargas, K., Childs, J.L., Sanderson, J., List, R., and Torres-Gomez, A., 2016, Diet of pumas (<i>Puma concolor</i>) in Sonora, Mexico, as determined by GPS kill sites and molecular identified scat, with comments on jaguar (<i>Panthera onca</i>) diet: Southwestern Naturalist, v. 61, no. 2, p. 125-132, https://doi.org/10.1894/0038-4909-61.2.125.","startPage":"125","endPage":"132","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070010","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":325899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","state":"Sonora","volume":"61","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-27","publicationStatus":"PW","scienceBaseUri":"57a1c42fe4b006cb45552c0a","contributors":{"authors":[{"text":"Cassaigne, Ivonne","contributorId":173305,"corporation":false,"usgs":false,"family":"Cassaigne","given":"Ivonne","email":"","affiliations":[],"preferred":false,"id":644216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Medellin, Rodrigo A.","contributorId":77456,"corporation":false,"usgs":true,"family":"Medellin","given":"Rodrigo A.","affiliations":[],"preferred":false,"id":644217,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Ron W.","contributorId":170001,"corporation":false,"usgs":false,"family":"Thompson","given":"Ron","email":"","middleInitial":"W.","affiliations":[{"id":24784,"text":"Arizona Game and Fish Department, 5000 West Carefree Highway, Phoenix, Arizona 85086, United States","active":true,"usgs":false}],"preferred":false,"id":644218,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Culver, Melanie 0000-0001-5380-3059 mculver@usgs.gov","orcid":"https://orcid.org/0000-0001-5380-3059","contributorId":4327,"corporation":false,"usgs":true,"family":"Culver","given":"Melanie","email":"mculver@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false},{"id":127,"text":"Arizona Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":631724,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ochoa, Alexander","contributorId":169994,"corporation":false,"usgs":false,"family":"Ochoa","given":"Alexander","email":"","affiliations":[{"id":17653,"text":"School of Natural Resources & the Environment, The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":644219,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vargas, Karla","contributorId":173306,"corporation":false,"usgs":false,"family":"Vargas","given":"Karla","email":"","affiliations":[],"preferred":false,"id":644220,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Childs, Jack L.","contributorId":147124,"corporation":false,"usgs":false,"family":"Childs","given":"Jack","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":644221,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sanderson, Jim","contributorId":173307,"corporation":false,"usgs":false,"family":"Sanderson","given":"Jim","email":"","affiliations":[],"preferred":false,"id":644222,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"List, Rurik","contributorId":167139,"corporation":false,"usgs":false,"family":"List","given":"Rurik","email":"","affiliations":[{"id":17657,"text":"Instituto de Ecología, Universidad Nacional Autónoma de Mexico","active":true,"usgs":false}],"preferred":false,"id":644223,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Torres-Gomez, Armando","contributorId":173309,"corporation":false,"usgs":false,"family":"Torres-Gomez","given":"Armando","email":"","affiliations":[],"preferred":false,"id":644224,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
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