{"pageNumber":"146","pageRowStart":"3625","pageSize":"25","recordCount":10951,"records":[{"id":70155991,"text":"70155991 - 2014 - Chromic and iron oxides as fecal markers to identify individual whooping cranes","interactions":[],"lastModifiedDate":"2018-02-06T12:41:48","indexId":"70155991","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Chromic and iron oxides as fecal markers to identify individual whooping cranes","docAbstract":"<p>The whooping crane (<i>Grus americana</i>) is listed as endangered under the IUCN Red List, the United States Endangered Species Act, and the Canadian Species at Risk Act (BirdLife International 2012, CWS and USFWS 2007). A major focus of recovery efforts for this endangered species is reintroduction to establish new populations (CWS and USFWS 2007). Captive populations are critical as a source of individuals for reintroduction efforts and also serve as insurance populations. Currently, there are a total of 157 whooping cranes held in captive breeding centers across North America, with the largest at the USGS Patuxent Wildlife Research Center (PWRC) in Laurel, Maryland. Birds produced in this facility are currently being released as part of efforts to establish the Eastern Migratory Population (EMP, Urbanek et al. 2005) and in an effort to establish a non-migratory population in Louisiana. In the past decade, PWRC has produced and released annually an average of 18 birds into the wild; however, reproductive performance of birds at this facility is lower than desired. PWRC had a 60% fertility rate for eggs laid from 2000 through 2010 (J. N. Chandler, personal communication, 2011). Furthermore, reproductive onset in this captive population appears to be delayed compared to wild populations. In wild populations, reproductive onset (production of sperm and eggs) normally occurs ~5 years of age in both males and females, ~2 years after initial pair formation occurs (Ellis et al., 1996), while some females in the EMP have laid eggs earlier than 5 years of age (Converse et al. 2011). However, PWRC females in some cases do not start to lay eggs until 7 years of age (Mirande et al. 1996). Currently, the PWRC population consists of a total of 74 whooping cranes, including 22 pairs. Six of these pairs (27%) are consistently infertile (i.e., no production of fertile eggs) and 3 other pairs (14%) have low fertility (30- 45% fertility in eggs laid), which is variable from year to year. Six pairs (27%) are recently formed and have not produced eggs, and so have unknown fertility. This leaves only 7 pairs (33%) which contribute maximally to PWRC’s chick production (J. N. Chandler, personal communication, 2011). Because of the challenges occurring within this captive colony, PWRC and Smithsonian National Zoo have initiated a joint research project to identify potential underlying causes of poor reproduction in captive whooping cranes. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the twelfth North American crane workshop","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Twelfth North American Crane Workshop","conferenceDate":"March 13-16, 2011","conferenceLocation":"Grand Island, NE","language":"English","publisher":"North American Crane Working Group","isbn":"978-0-9659324-3-1","usgsCitation":"Brown, M.E., Doyle, R., Chandler, J.N., Olsen, G.H., French, J.B., Wildt, D.E., Converse, S.J., Keefer, C., and Songsasen, N., 2014, Chromic and iron oxides as fecal markers to identify individual whooping cranes, <i>in</i> Proceedings of the twelfth North American crane workshop, Grand Island, NE, March 13-16, 2011, p. 68-72.","productDescription":"5 p.","startPage":"68","endPage":"72","ipdsId":"IP-067572","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":339661,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339660,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nacwg.org/proceedings12.html"}],"otherGeospatial":"North America","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f08e63e4b06911a29fa860","contributors":{"editors":[{"text":"Aborn, David","contributorId":141173,"corporation":false,"usgs":false,"family":"Aborn","given":"David","email":"","affiliations":[],"preferred":false,"id":690815,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Urbanek, Richard P.","contributorId":38400,"corporation":false,"usgs":true,"family":"Urbanek","given":"Richard","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":690816,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Brown, Megan E.","contributorId":146367,"corporation":false,"usgs":false,"family":"Brown","given":"Megan","email":"","middleInitial":"E.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":567580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doyle, Robert rcdoyle@usgs.gov","contributorId":146368,"corporation":false,"usgs":true,"family":"Doyle","given":"Robert","email":"rcdoyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":567581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chandler, Jane N. 0000-0002-6131-2396 jchandler@usgs.gov","orcid":"https://orcid.org/0000-0002-6131-2396","contributorId":3512,"corporation":false,"usgs":true,"family":"Chandler","given":"Jane","email":"jchandler@usgs.gov","middleInitial":"N.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":567582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olsen, Glenn H. 0000-0002-7188-6203 golsen@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-6203","contributorId":40918,"corporation":false,"usgs":true,"family":"Olsen","given":"Glenn","email":"golsen@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":567583,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"French, John B. 0000-0001-8901-7092 jbfrench@usgs.gov","orcid":"https://orcid.org/0000-0001-8901-7092","contributorId":377,"corporation":false,"usgs":true,"family":"French","given":"John","email":"jbfrench@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":567584,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wildt, David E","contributorId":146369,"corporation":false,"usgs":false,"family":"Wildt","given":"David","email":"","middleInitial":"E","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":567585,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":3513,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":567579,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Keefer, Carol L","contributorId":146370,"corporation":false,"usgs":false,"family":"Keefer","given":"Carol L","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":567586,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Songsasen, Nucharin","contributorId":146371,"corporation":false,"usgs":false,"family":"Songsasen","given":"Nucharin","email":"","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":567587,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70059774,"text":"70059774 - 2014 - Toxicokinetics and coagulopathy threshold of the rodenticide diphacinone in eastern screech-owls (Megascops asio)","interactions":[],"lastModifiedDate":"2018-09-04T16:39:08","indexId":"70059774","displayToPublicDate":"2013-12-30T10:50:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Toxicokinetics and coagulopathy threshold of the rodenticide diphacinone in eastern screech-owls (Megascops asio)","docAbstract":"In the United States, new regulations on second-generation anticoagulant rodenticides will likely be offset by expanded use of first-generation anticoagulant rodenticides. In the present study, eastern screech-owls (Megascops asio) were fed 10 µg diphacinone/g wet weight food for 7 d, and recovery was monitored over a 21-d postexposure period. By day 3 of exposure, diphacinone (DPN) was detected in liver (1.63 µg/g wet wt) and kidney (5.83 µg/g) and coagulopathy was apparent. By day 7, prothrombin time (PT) and Russell's viper venom time (RVVT) were prolonged, and some individuals were anemic. Upon termination of exposure, coagulopathy and anemia were resolved within 4 d, and residues decreased to <0.3 µg/g by day 7. Liver and kidney DPN elimination occurred in 2 phases (initial rapid loss, followed by slower loss rate), with overall half-lives of 11.7 d and 2.1 d, respectively. Prolonged PT and RVVT occurred in 10% of the exposed owls with liver DPN concentrations of 0.122 µg/g and 0.282 µg/g and in 90% of the owls with liver concentrations of 0.638 µg/g and 0.361 µg/g. These liver residue levels associated with coagulopathy fall in the range of values reported in raptor mortality incidents involving DPN. These tissue-based toxicity reference values for coagulopathy in adult screech-owls have application for interpreting nontarget mortality and assessing the hazard of DPN in rodent-control operations. Diphacinone exposure evokes toxicity in raptors within a matter of days; but once exposure is terminated, recovery of hemostasis occurs rapidly","language":"English","publisher":"Elsevier","doi":"10.1002/etc.2390","usgsCitation":"Rattner, B.A., Horak, K., Lazarus, R.S., Goldade, D., and Johnston, J.J., 2014, Toxicokinetics and coagulopathy threshold of the rodenticide diphacinone in eastern screech-owls (Megascops asio): Environmental Toxicology and Chemistry, v. 33, no. 1, p. 74-81, https://doi.org/10.1002/etc.2390.","productDescription":"8 p.","startPage":"74","endPage":"81","numberOfPages":"8","ipdsId":"IP-052516","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":280552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280533,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.2390"}],"volume":"33","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-09-07","publicationStatus":"PW","scienceBaseUri":"52c2960be4b040b25da9040f","chorus":{"doi":"10.1002/etc.2390","url":"http://dx.doi.org/10.1002/etc.2390","publisher":"Wiley-Blackwell","authors":"Rattner Barnett A., Horak Katherine E., Lazarus Rebecca S., Goldade David A., Johnston John J.","journalName":"Environmental Toxicology and Chemistry","publicationDate":"12/3/2013","auditedOn":"3/24/2016"},"contributors":{"authors":[{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":487785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horak, K.E.","contributorId":63713,"corporation":false,"usgs":true,"family":"Horak","given":"K.E.","email":"","affiliations":[],"preferred":false,"id":487788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lazarus, Rebecca S. 0000-0003-1731-6469 rlazarus@usgs.gov","orcid":"https://orcid.org/0000-0003-1731-6469","contributorId":5594,"corporation":false,"usgs":true,"family":"Lazarus","given":"Rebecca","email":"rlazarus@usgs.gov","middleInitial":"S.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":487786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldade, D.A.","contributorId":94206,"corporation":false,"usgs":true,"family":"Goldade","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":487789,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnston, J. J.","contributorId":17339,"corporation":false,"usgs":true,"family":"Johnston","given":"J.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":487787,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70058014,"text":"70058014 - 2014 - Integration of stable carbon isotope, microbial community, dissolved hydrogen gas, and <sup>2</sup>H<sub>H<sub>2</sub>O</sub> tracer data to assess bioaugmentation for chlorinated ethene degradation in fractured rocks","interactions":[],"lastModifiedDate":"2018-09-18T16:15:49","indexId":"70058014","displayToPublicDate":"2013-12-05T09:56:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Integration of stable carbon isotope, microbial community, dissolved hydrogen gas, and <sup>2</sup>H<sub>H<sub>2</sub>O</sub> tracer data to assess bioaugmentation for chlorinated ethene degradation in fractured rocks","docAbstract":"An in situ bioaugmentation (BA) experiment was conducted to understand processes controlling microbial dechlorination of trichloroethene (TCE) in groundwater at the Naval Air Warfare Center (NAWC), West Trenton, NJ. In the BA experiment, an electron donor (emulsified vegetable oil and sodium lactate) and a chloro-respiring microbial consortium were injected into a well in fractured mudstone of Triassic age. Water enriched in <sup>2</sup>H was also injected as a tracer of the BA solution, to monitor advective transport processes. The changes in concentration and the δ<sup>13</sup>C of TCE, cis-dichloroethene (cis-DCE), and vinyl chloride (VC); the δ<sup>2</sup>H of water; changes in the abundance of the microbial communities; and the concentration of dissolved H2 gas compared to pre- test conditions, provided multiple lines of evidence that enhanced biodegradation occurred in the injection well and in two downgradient wells. For those wells where the biodegradation was stimulated intensively, the sum of the molar chlorinated ethene (CE) concentrations in post-BA water was higher than that of the sum of the pre-BA background molar CE concentrations. The concentration ratios of TCE/(cis-DCE + VC) indicated that the increase in molar CE concentration may result from additional TCE mobilized from the rock matrix in response to the oil injection or due to desorption/diffusion. The stable carbon isotope mass-balance calculations show that the weighted average <sup>13</sup>C isotope of the CEs was enriched for around a year compared to the background value in a two year monitoring period, an effective indication that dechlorination of VC was occurring. Insights gained from this study can be applied to efforts to use BA in other fractured rock systems. The study demonstrates that a BA approach can substantially enhance in situ bioremediation not only in fractures connected to the injection well, but also in the rock matrix around the well due to processes such as diffusion and desorption. Because the effect of the BA was intensive only in wells where an amendment was distributed during injection, it is necessary to adequately distribute the amendments throughout the fractured rock to achieve substantial bioremediation. The slowdown in BA effect after a year is due to some extend to the decrease abundant of appropriate microbes, but more likely the decreased concentration of electron donor.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jconhyd.2013.10.004","usgsCitation":"Revesz, K.M., Lollar, B.S., Kirshtein, J.D., Tiedeman, C.R., Imbrigiotta, T., Goode, D., Shapiro, A.M., Voytek, M.A., Lancombe, P.J., and Busenberg, E., 2014, Integration of stable carbon isotope, microbial community, dissolved hydrogen gas, and <sup>2</sup>H<sub>H<sub>2</sub>O</sub> tracer data to assess bioaugmentation for chlorinated ethene degradation in fractured rocks: Journal of Contaminant Hydrology, v. 156, p. 62-77, https://doi.org/10.1016/j.jconhyd.2013.10.004.","productDescription":"16 p.","startPage":"62","endPage":"77","numberOfPages":"16","ipdsId":"IP-044573","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":280190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280189,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jconhyd.2013.10.004"}],"country":"United States","state":"New Jersey","city":"Ewing Township","otherGeospatial":"Naval Air Warfare Center, West Trenton","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.838496,40.209396 ], [ -74.838496,40.283997 ], [ -74.725712,40.283997 ], [ -74.725712,40.209396 ], [ -74.838496,40.209396 ] ] ] } } ] }","volume":"156","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52a1a089e4b02938ec05883c","contributors":{"authors":[{"text":"Revesz, Kinga M.","contributorId":18258,"corporation":false,"usgs":true,"family":"Revesz","given":"Kinga","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":486998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lollar, Barbara Sherwood","contributorId":18668,"corporation":false,"usgs":false,"family":"Lollar","given":"Barbara","email":"","middleInitial":"Sherwood","affiliations":[{"id":7044,"text":"University of Toronto","active":true,"usgs":false}],"preferred":false,"id":486999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirshtein, Julie D.","contributorId":26033,"corporation":false,"usgs":true,"family":"Kirshtein","given":"Julie","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":487000,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tiedeman, Claire R. 0000-0002-0128-3685 tiedeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0128-3685","contributorId":196777,"corporation":false,"usgs":true,"family":"Tiedeman","given":"Claire","email":"tiedeman@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":487002,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Imbrigiotta, Thomas E. 0000-0003-1716-4768 timbrig@usgs.gov","orcid":"https://orcid.org/0000-0003-1716-4768","contributorId":2466,"corporation":false,"usgs":true,"family":"Imbrigiotta","given":"Thomas E.","email":"timbrig@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":486997,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goode, Daniel J. 0000-0002-8527-2456 djgoode@usgs.gov","orcid":"https://orcid.org/0000-0002-8527-2456","contributorId":2433,"corporation":false,"usgs":true,"family":"Goode","given":"Daniel J.","email":"djgoode@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":486996,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shapiro, Allen M. 0000-0002-6425-9607 ashapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-6425-9607","contributorId":2164,"corporation":false,"usgs":true,"family":"Shapiro","given":"Allen","email":"ashapiro@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":486994,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Voytek, Mary A.","contributorId":91943,"corporation":false,"usgs":true,"family":"Voytek","given":"Mary","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":487003,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lancombe, Pierre J.","contributorId":33614,"corporation":false,"usgs":true,"family":"Lancombe","given":"Pierre","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":487001,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Busenberg, Eurybiades ebusenbe@usgs.gov","contributorId":2271,"corporation":false,"usgs":true,"family":"Busenberg","given":"Eurybiades","email":"ebusenbe@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":486995,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70058428,"text":"70058428 - 2014 - Fitting statistical distributions to sea duck count data: implications for survey design and abundance estimation","interactions":[],"lastModifiedDate":"2013-12-05T09:39:16","indexId":"70058428","displayToPublicDate":"2013-12-05T09:34:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3475,"text":"Statistical Methodology","active":true,"publicationSubtype":{"id":10}},"title":"Fitting statistical distributions to sea duck count data: implications for survey design and abundance estimation","docAbstract":"Determining appropriate statistical distributions for modeling animal count data is important for accurate estimation of abundance, distribution, and trends. In the case of sea ducks along the U.S. Atlantic coast, managers want to estimate local and regional abundance to detect and track population declines, to define areas of high and low use, and to predict the impact of future habitat change on populations. In this paper, we used a modified marked point process to model survey data that recorded flock sizes of Common eiders, Long-tailed ducks, and Black, Surf, and White-winged scoters. The data come from an experimental aerial survey, conducted by the United States Fish & Wildlife Service (USFWS) Division of Migratory Bird Management, during which east-west transects were flown along the Atlantic Coast from Maine to Florida during the winters of 2009–2011. To model the number of flocks per transect (the points), we compared the fit of four statistical distributions (zero-inflated Poisson, zero-inflated geometric, zero-inflated negative binomial and negative binomial) to data on the number of species-specific sea duck flocks that were recorded for each transect flown. To model the flock sizes (the marks), we compared the fit of flock size data for each species to seven statistical distributions: positive Poisson, positive negative binomial, positive geometric, logarithmic, discretized lognormal, zeta and Yule–Simon. Akaike’s Information Criterion and Vuong’s closeness tests indicated that the negative binomial and discretized lognormal were the best distributions for all species for the points and marks, respectively. These findings have important implications for estimating sea duck abundances as the discretized lognormal is a more skewed distribution than the Poisson and negative binomial, which are frequently used to model avian counts; the lognormal is also less heavy-tailed than the power law distributions (e.g., zeta and Yule–Simon), which are becoming increasingly popular for group size modeling. Choosing appropriate statistical distributions for modeling flock size data is fundamental to accurately estimating population summaries, determining required survey effort, and assessing and propagating uncertainty through decision-making processes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Statistical Methodology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.stamet.2012.10.002","usgsCitation":"Zipkin, E., Leirness, J.B., Kinlan, B.P., O’Connell, A.F., and Silverman, E.D., 2014, Fitting statistical distributions to sea duck count data: implications for survey design and abundance estimation: Statistical Methodology, v. 17, p. 67-81, https://doi.org/10.1016/j.stamet.2012.10.002.","productDescription":"15 p.","startPage":"67","endPage":"81","numberOfPages":"15","ipdsId":"IP-041848","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":280187,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280186,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.stamet.2012.10.002"}],"volume":"17","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52a1a089e4b02938ec058835","contributors":{"authors":[{"text":"Zipkin, Elise F.","contributorId":70528,"corporation":false,"usgs":true,"family":"Zipkin","given":"Elise F.","affiliations":[],"preferred":false,"id":487035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leirness, Jeffery B.","contributorId":24678,"corporation":false,"usgs":true,"family":"Leirness","given":"Jeffery","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":487033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kinlan, Brian P.","contributorId":24679,"corporation":false,"usgs":true,"family":"Kinlan","given":"Brian","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":487034,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Connell, Allan F. 0000-0001-7032-7023 aoconnell@usgs.gov","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":471,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"aoconnell@usgs.gov","middleInitial":"F.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":487032,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Silverman, Emily D.","contributorId":79220,"corporation":false,"usgs":true,"family":"Silverman","given":"Emily","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":487036,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70156236,"text":"70156236 - 2014 - Band reporting probablilities of mallards, American black ducks, and wood ducks in eastern North America","interactions":[],"lastModifiedDate":"2022-11-10T17:17:14.126777","indexId":"70156236","displayToPublicDate":"2013-12-05T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Band reporting probablilities of mallards, American black ducks, and wood ducks in eastern North America","docAbstract":"<p><span>Estimates of band reporting probabilities are used for managing North American waterfowl to convert band recovery probabilities into harvest probabilities, which are used to set harvest regulations. Band reporting probability is the probability that someone who has shot and retrieved a banded bird will report the band. This probability can vary relative to a number of factors, particularly the inscription on the band and the ease with which it can be reported. Other factors, such as geographic reporting region, and species and sex of the bird may also play a role. We tested whether reporting probabilities of wood ducks (</span><i>Aix sponsa</i><span>) and American black ducks (black ducks; </span><i>Anas rubripes</i><span>) differed from those of mallards (</span><i>Anas platyrhynchos</i><span>) and whether band reporting varied geographically or by the sex of the banded bird. In the analysis of spatially comparable wood duck and mallard data, a band reporting probability of 0.73 (95% CI = 0.67–0.78) was appropriate for use across species, sex, and reporting region within the United States. In the black duck–mallard comparison, the band reporting probability of black ducks in Eastern Canada (0.50, 95% CI = 0.44–0.57) was lower than in the Eastern United States (0.73, 95% CI = 0.62–0.83). These estimates reflected an increase in overall band reporting probability following the addition of a toll-free telephone number to band inscriptions. Lower reporting in Eastern Canada may be because of cultural, linguistic, or logistical barriers.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.647","usgsCitation":"Garrettson, P., Raftovich, R.V., Hines, J.E., and Zimmerman, G.S., 2014, Band reporting probablilities of mallards, American black ducks, and wood ducks in eastern North America: Journal of Wildlife Management, v. 78, no. 1, p. 50-57, https://doi.org/10.1002/jwmg.647.","productDescription":"7 p.","startPage":"50","endPage":"57","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052406","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":306826,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": 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System","active":true,"usgs":false}],"preferred":false,"id":568122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hines, James E. 0000-0001-5478-7230 jhines@usgs.gov","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":146530,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":568120,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zimmerman, Guthrie S.","contributorId":42473,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Guthrie","email":"","middleInitial":"S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":568123,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70094738,"text":"70094738 - 2014 - Ambient changes in tracer concentrations from a multilevel monitoring system in Basalt","interactions":[],"lastModifiedDate":"2014-02-24T15:54:43","indexId":"70094738","displayToPublicDate":"2013-12-01T15:48:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1866,"text":"Groundwater Monitoring & Remediation","active":true,"publicationSubtype":{"id":10}},"title":"Ambient changes in tracer concentrations from a multilevel monitoring system in Basalt","docAbstract":"Starting in 2008, a 4-year tracer study was conducted to evaluate ambient changes in groundwater concentrations of a 1,3,6-naphthalene trisulfonate tracer that was added to drill water. Samples were collected under open borehole conditions and after installing a multilevel groundwater monitoring system completed with 11 discrete monitoring zones within dense and fractured basalt and sediment layers in the eastern Snake River aquifer. The study was done in cooperation with the U.S. Department of Energy to test whether ambient fracture flow conditions were sufficient to remove the effects of injected drill water prior to sample collection. Results from thief samples indicated that the tracer was present in minor concentrations 28 days after coring, but was not present 6 months after coring or 7 days after reaming the borehole. Results from sampling the multilevel monitoring system indicated that small concentrations of the tracer remained in 5 of 10 zones during some period after installation. All concentrations were several orders of magnitude lower than the initial concentrations in the drill water. The ports that had remnant concentrations of the tracer were either located near sediment layers or were located in dense basalt, which suggests limited groundwater flow near these ports. The ports completed in well-fractured and vesicular basalt had no detectable concentrations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Groundwater Monitoring & Remediation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/gwmr.12038","usgsCitation":"Bartholomay, R.C., Twining, B.V., and Rose, P.E., 2014, Ambient changes in tracer concentrations from a multilevel monitoring system in Basalt: Groundwater Monitoring & Remediation, v. 34, no. 1, p. 79-88, https://doi.org/10.1111/gwmr.12038.","productDescription":"10 p.","startPage":"79","endPage":"88","numberOfPages":"10","ipdsId":"IP-042016","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":473327,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwmr.12038","text":"Publisher Index Page"},{"id":282712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282680,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gwmr.12038"}],"scale":"100000","projection":"Universal Transverse Mercator Projection","datum":"North American Datum of 1927","country":"United States","state":"Idaho","otherGeospatial":"Idaho National Laboratory","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.5,43.25 ], [ -113.5,44.25 ], [ -112.25,44.25 ], [ -112.25,43.25 ], [ -113.5,43.25 ] ] ] } } ] }","volume":"34","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-12-06","publicationStatus":"PW","scienceBaseUri":"53cd4c3ee4b0b290850f0ddb","contributors":{"authors":[{"text":"Bartholomay, Roy C. 0000-0002-4809-9287 rcbarth@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-9287","contributorId":1131,"corporation":false,"usgs":true,"family":"Bartholomay","given":"Roy","email":"rcbarth@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490843,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Twining, Brian V. 0000-0003-1321-4721 btwining@usgs.gov","orcid":"https://orcid.org/0000-0003-1321-4721","contributorId":2387,"corporation":false,"usgs":true,"family":"Twining","given":"Brian","email":"btwining@usgs.gov","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490844,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rose, Peter E.","contributorId":103574,"corporation":false,"usgs":true,"family":"Rose","given":"Peter","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":490845,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70096238,"text":"70096238 - 2014 - Near-bottom circulation and dispersion of sediment containing <i>Alexandrium fundyense</i> cysts in the Gulf of Maine during 2010-2011","interactions":[],"lastModifiedDate":"2014-05-29T14:45:26","indexId":"70096238","displayToPublicDate":"2013-12-01T10:38:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1371,"text":"Deep-Sea Research Part II: Topical Studies in Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Near-bottom circulation and dispersion of sediment containing <i>Alexandrium fundyense</i> cysts in the Gulf of Maine during 2010-2011","docAbstract":"The life cycle of <i>Alexandrium fundyense</i> in the Gulf of Maine includes a dormant cyst stage that spends the winter predominantly in the bottom sediment. Wave-current bottom stress caused by storms and tides induces resuspension of cyst-containing sediment during winter and spring. Resuspended sediment could be transported by water flow to different locations in the Gulf and the redistribution of sediment containing <i>A. fundyense</i> cysts could alter the spatial and temporal manifestation of its spring bloom. The present study evaluates model near-bottom flow during storms, when sediment resuspension and redistribution are most likely to occur, between October and May when <i>A. fundyense</i> cells are predominantly in cyst form. Simulated water column sediment (mud) concentrations from representative locations of the Gulf are used to initialize particle tracking simulations for the period October 2010–May 2011. Particles are tracked in full three-dimensional model solutions including a sinking velocity characteristic of cyst and aggregated mud settling (0.1 mm s<sup>−</sup>1). Although most of the material was redeposited near the source areas, small percentages of total resuspended sediment from some locations in the western (~4%) and eastern (2%) Maine shelf and the Bay of Fundy (1%) traveled distances longer than 100 km before resettling. The redistribution changed seasonally and was sensitive to the prescribed sinking rate. Estimates of the amount of cysts redistributed with the sediment were small compared to the inventory of cysts in the upper few centimeters of sediment but could potentially have more relevance immediately after deposition.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Deep-Sea Research Part II: Topical Studies in Oceanography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr2.2013.11.003","usgsCitation":"Aretxabaleta, A., Butman, B., Signell, R.P., Dalyander, P., Sherwood, C.R., Sheremet, V.A., and McGillicuddy, D.J., 2014, Near-bottom circulation and dispersion of sediment containing <i>Alexandrium fundyense</i> cysts in the Gulf of Maine during 2010-2011: Deep-Sea Research Part II: Topical Studies in Oceanography, v. 103, p. 96-111, https://doi.org/10.1016/j.dsr2.2013.11.003.","productDescription":"16 p.","startPage":"96","endPage":"111","numberOfPages":"16","ipdsId":"IP-051764","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473329,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dsr2.2013.11.003","text":"Publisher Index Page"},{"id":283874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283873,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.dsr2.2013.11.003"}],"country":"United States","state":"Maine","otherGeospatial":"Bay Of Fundy;Gulf Of Maine","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.0,42.5 ], [ -71.0,45.5 ], [ -65.0,45.5 ], [ -65.0,42.5 ], [ -71.0,42.5 ] ] ] } } ] }","volume":"103","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53885706e4b0318b93124adf","contributors":{"authors":[{"text":"Aretxabaleta, Alfredo L.","contributorId":41311,"corporation":false,"usgs":true,"family":"Aretxabaleta","given":"Alfredo L.","affiliations":[],"preferred":false,"id":491497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butman, Bradford 0000-0002-4174-2073 bbutman@usgs.gov","orcid":"https://orcid.org/0000-0002-4174-2073","contributorId":943,"corporation":false,"usgs":true,"family":"Butman","given":"Bradford","email":"bbutman@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":491493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Signell, Richard P. rsignell@usgs.gov","contributorId":1435,"corporation":false,"usgs":true,"family":"Signell","given":"Richard","email":"rsignell@usgs.gov","middleInitial":"P.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":491494,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dalyander, P. Soupy 0000-0001-9583-0872","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":65177,"corporation":false,"usgs":true,"family":"Dalyander","given":"P. Soupy","affiliations":[],"preferred":false,"id":491499,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":491495,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sheremet, Vitalii A.","contributorId":52886,"corporation":false,"usgs":true,"family":"Sheremet","given":"Vitalii","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":491498,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McGillicuddy, Dennis J. Jr.","contributorId":13541,"corporation":false,"usgs":true,"family":"McGillicuddy","given":"Dennis","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":491496,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70048647,"text":"70048647 - 2014 - The Mw 5.8 Mineral, Virginia, earthquake of August 2011 and aftershock sequence: constraints on earthquake source parameters and fault geometry","interactions":[],"lastModifiedDate":"2014-02-24T11:04:12","indexId":"70048647","displayToPublicDate":"2013-12-01T10:09:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"The Mw 5.8 Mineral, Virginia, earthquake of August 2011 and aftershock sequence: constraints on earthquake source parameters and fault geometry","docAbstract":"<p>The M<sub>w</sub> 5.8 earthquake of 23 August 2011 (17:51:04 UTC) (moment, M0 5.7×10<sup>17</sup>  N·m) occurred near Mineral, Virginia, within the central Virginia seismic zone and was felt by more people than any other earthquake in United States history. The U.S. Geological Survey (USGS) received 148,638 felt reports from 31 states and 4 Canadian provinces. The USGS PAGER system estimates as many as 120,000 people were exposed to shaking intensity levels of IV and greater, with approximately 10,000 exposed to shaking as high as intensity VIII. Both regional and teleseismic moment tensor solutions characterize the earthquake as a northeast‐striking reverse fault that nucleated at a depth of approximately 7±2  km. The distribution of reported macroseismic intensities is roughly ten times the area of a similarly sized earthquake in the western United States (Horton and Williams, 2012). Near‐source and far‐field damage reports, which extend as far away as Washington, D.C., (135 km away) and Baltimore, Maryland, (200 km away) are consistent with an earthquake of this size and depth in the eastern United States (EUS).</p>\n<br/>\n<p>Within the first few days following the earthquake, several government and academic institutions installed 36 portable seismograph stations in the epicentral region, making this among the best‐recorded aftershock sequences in the EUS. Based on modeling of these data, we provide a detailed description of the source parameters of the mainshock and analysis of the subsequent aftershock sequence for defining the fault geometry, area of rupture, and observations of the aftershock sequence magnitude–frequency and temporal distribution. The observed slope of the magnitude–frequency curve or b‐value for the aftershock sequence is consistent with previous EUS studies (b=0.75), suggesting that most of the accumulated strain was released by the mainshock. The aftershocks define a rupture that extends between approximately 2–8 km in depth and 8–10 km along the strike of the fault plane. Best‐fit modeling of the geometry of the aftershock sequence defines a rupture plane that strikes N36°E and dips to the east‐southeast at 49.5°. Moment tensor solutions of the mainshock and larger aftershocks are consistent with the distribution of aftershock locations, both indicating reverse slip along a northeast–southwest striking southeast‐dipping fault plane.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120130058","usgsCitation":"McNamara, D.E., Benz, H., Herrmann, R., Bergman, E.A., Earle, P., Meltzer, A., Withers, M., and Chapman, M., 2014, The Mw 5.8 Mineral, Virginia, earthquake of August 2011 and aftershock sequence: constraints on earthquake source parameters and fault geometry: Bulletin of the Seismological Society of America, v. 104, no. 1, p. 40-54, https://doi.org/10.1785/0120130058.","productDescription":"15 p.","startPage":"40","endPage":"54","numberOfPages":"15","ipdsId":"IP-051290","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":280971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280970,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120130058"}],"country":"Canada;United States","state":"Virginia","city":"Mineral","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.86,30.86 ], [ -88.86,46.86 ], [ -66.8,46.86 ], [ -66.8,30.86 ], [ -88.86,30.86 ] ] ] } } ] }","volume":"104","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-12-24","publicationStatus":"PW","scienceBaseUri":"53cd7714e4b0b2908510b519","contributors":{"authors":[{"text":"McNamara, Daniel E. 0000-0001-6860-0350 mcnamara@usgs.gov","orcid":"https://orcid.org/0000-0001-6860-0350","contributorId":402,"corporation":false,"usgs":true,"family":"McNamara","given":"Daniel","email":"mcnamara@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":485272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benz, H.M.","contributorId":21594,"corporation":false,"usgs":true,"family":"Benz","given":"H.M.","email":"","affiliations":[],"preferred":false,"id":485274,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herrmann, Robert B.","contributorId":80255,"corporation":false,"usgs":false,"family":"Herrmann","given":"Robert B.","affiliations":[],"preferred":false,"id":485278,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bergman, Eric A. 0000-0002-7069-8286","orcid":"https://orcid.org/0000-0002-7069-8286","contributorId":84513,"corporation":false,"usgs":false,"family":"Bergman","given":"Eric","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":485279,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Earle, Paul","contributorId":13536,"corporation":false,"usgs":true,"family":"Earle","given":"Paul","affiliations":[],"preferred":false,"id":485273,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meltzer, Anne","contributorId":64559,"corporation":false,"usgs":true,"family":"Meltzer","given":"Anne","affiliations":[],"preferred":false,"id":485277,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Withers, Mitch","contributorId":24684,"corporation":false,"usgs":true,"family":"Withers","given":"Mitch","email":"","affiliations":[],"preferred":false,"id":485275,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chapman, Martin","contributorId":45622,"corporation":false,"usgs":true,"family":"Chapman","given":"Martin","affiliations":[],"preferred":false,"id":485276,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70048354,"text":"70048354 - 2014 - The attenuation of Fourier amplitudes for rock sites in eastern North America","interactions":[],"lastModifiedDate":"2014-02-24T11:02:43","indexId":"70048354","displayToPublicDate":"2013-11-26T09:35:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"The attenuation of Fourier amplitudes for rock sites in eastern North America","docAbstract":"We develop an empirical model of the decay of Fourier amplitudes for earthquakes of M 3–6 recorded on rock sites in eastern North America and discuss its implications for source parameters. Attenuation at distances from 10 to 500 km may be adequately described using a bilinear model with a geometric spreading of 1/R<sup>1.3</sup> to a transition distance of 50 km, with a geometric spreading of 1/R<sup>0.5</sup> at greater distances. For low frequencies and distances less than 50 km, the effective geometric spreading given by the model is perturbed using a frequency‐ and hypocentral depth‐dependent factor defined in such a way as to increase amplitudes at lower frequencies near the epicenter but leave the 1 km source amplitudes unchanged. The associated anelastic attenuation is determined for each event, with an average value being given by a regional quality factor of Q=525f<sup> 0.45</sup>. This model provides a match, on average, between the known seismic moment of events and the inferred low‐frequency spectral amplitudes at R=1  km (obtained by correcting for the attenuation model). The inferred Brune stress parameters from the high‐frequency source terms are about 600 bars (60 MPa), on average, for events of M>4.5.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120130136","usgsCitation":"Atkinson, G.M., and Boore, D.M., 2014, The attenuation of Fourier amplitudes for rock sites in eastern North America: Bulletin of the Seismological Society of America, v. 104, no. 1, p. 513-528, https://doi.org/10.1785/0120130136.","productDescription":"16 p.","startPage":"513","endPage":"528","numberOfPages":"16","ipdsId":"IP-046179","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":280963,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280961,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120130136"},{"id":280964,"type":{"id":15,"text":"Index Page"},"url":"https://www.bssaonline.org/content/early/2013/11/25/0120130136"}],"country":"Canada;United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.0,34.0 ], [ -90.0,54.0 ], [ -55.0,54.0 ], [ -55.0,34.0 ], [ -90.0,34.0 ] ] ] } } ] }","volume":"104","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-11-26","publicationStatus":"PW","scienceBaseUri":"53cd776be4b0b2908510b889","contributors":{"authors":[{"text":"Atkinson, Gail M.","contributorId":60515,"corporation":false,"usgs":false,"family":"Atkinson","given":"Gail","email":"","middleInitial":"M.","affiliations":[{"id":13255,"text":"University of Western Ontario","active":true,"usgs":false}],"preferred":false,"id":484394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boore, David M. boore@usgs.gov","contributorId":2509,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":484393,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70056316,"text":"70056316 - 2014 - Relative significance of microtopography and vegetation as controls on surface water flow on a low-gradient floodplain","interactions":[],"lastModifiedDate":"2014-02-03T11:16:52","indexId":"70056316","displayToPublicDate":"2013-10-01T12:55:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Relative significance of microtopography and vegetation as controls on surface water flow on a low-gradient floodplain","docAbstract":"Surface water flow controls water velocities, water depths, and residence times, and influences sediment and nutrient transport and other ecological processes in shallow aquatic systems. Flow through wetlands is substantially influenced by drag on vegetation stems but is also affected by microtopography. Our goal was to use microtopography data directly in a widely used wetland model while retaining the advantages of the model’s one-dimensional structure. The base simulation with no explicit treatment of microtopography only performed well for a period of high water when vegetation dominated flow resistance. Extended simulations using microtopography can improve the fit to low-water conditions substantially. The best fit simulation had a flow conductance parameter that decreased in value by 70 % during dry season such that mcrotopographic features blocked 40 % of the cross sectional width for flow. Modeled surface water became ponded and flow ceased when 85 % of the cross sectional width became blocked by microtopographic features. We conclude that vegetation drag dominates wetland flow resistance at higher water levels and microtopography dominates at low water levels with the threshold delineated by the top of microtopographic features. Our results support the practicality of predicting flow on floodplains using relatively easily measured physical and biological variables.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s13157-013-0489-7","usgsCitation":"Choi, J., and Harvey, J.W., 2014, Relative significance of microtopography and vegetation as controls on surface water flow on a low-gradient floodplain: Wetlands, v. 34, no. 1, p. 101-115, https://doi.org/10.1007/s13157-013-0489-7.","productDescription":"15 p.","startPage":"101","endPage":"115","numberOfPages":"15","onlineOnly":"Y","ipdsId":"IP-051999","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":279178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279165,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-013-0489-7"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.75,25.5 ], [ -80.75,26.5 ], [ -80.25,26.5 ], [ -80.25,25.5 ], [ -80.75,25.5 ] ] ] } } ] }","volume":"34","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-10-25","publicationStatus":"PW","scienceBaseUri":"528c96b9e4b0c629af44ddfb","contributors":{"authors":[{"text":"Choi, Jungyill","contributorId":70792,"corporation":false,"usgs":true,"family":"Choi","given":"Jungyill","email":"","affiliations":[],"preferred":false,"id":486522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":486521,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048425,"text":"70048425 - 2014 - Large wood budget and transport dynamics on a large river using radio telemetry","interactions":[],"lastModifiedDate":"2014-03-28T09:31:58","indexId":"70048425","displayToPublicDate":"2013-09-26T08:15:00","publicationYear":"2014","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":"Large wood budget and transport dynamics on a large river using radio telemetry","docAbstract":"Despite the abundance of large wood (LW) river studies there is still a lack of understanding of LW transport dynamics on large low gradient rivers. This study used 290 radio frequency identification tagged (RFID) LW and 54 metal (aluminum) tagged LW, to quantify the percent of in-channel LW that moves per year and what variables play a role in LW transport dynamics. Aluminum tags were installed and monitored on LW in-transit during the rising limb of a flood, the mean distance traveled by those pieces during the week was 13.3 river kilometers (km) with a maximum distance of 72 km. RFID tagged LW moved a mean of 11.9 km/yr with a maximum observed at 101.1 km/yr. Approximately 41% of LW low on the bank moves per year. The high rate of transport and distance traveled is likely due to the lack of interaction between LW floating in the channel and the channel boundaries, caused primarily by the width of the channel relative to length of the LW. Approximately 80% of the RFID tags moved past a fixed reader during the highest 20% of river stage per year. LW transport and logjam dynamics are complicated at high flows as pieces form temporary jams that continually expand and contract. Unlike most other studies, key members that create a logjam were defined more by stability than jam size or channel/hydrologic conditions. Finally, using an existing geomorphic database for the river, and data from this study, we were able to develop a comprehensive LW budget showing that 5% of the in-channel LW population turns over each year (input from mass wasting and fluvial erosion equals burial, decomposition, and export out of system) and another 16% of the population moving within the system.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth Surface Processes and Landforms","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/esp.3463","usgsCitation":"Schenk, E.R., Moulin, B., Hupp, C.R., and Richte, J.M., 2014, Large wood budget and transport dynamics on a large river using radio telemetry: Earth Surface Processes and Landforms, v. 39, no. 4, p. 487-498, https://doi.org/10.1002/esp.3463.","productDescription":"12 p.","startPage":"487","endPage":"498","numberOfPages":"12","ipdsId":"IP-049201","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":278174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278172,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/esp.3463"}],"country":"United States","state":"North Carolina;Virginia","otherGeospatial":"Lower Roanoke River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.6722,35.96 ], [ -77.6722,36.6291 ], [ -76.6828,36.6291 ], [ -76.6828,35.96 ], [ -77.6722,35.96 ] ] ] } } ] }","volume":"39","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-08-31","publicationStatus":"PW","scienceBaseUri":"5246e919e4b035b7f35addd6","contributors":{"authors":[{"text":"Schenk, Edward R. 0000-0001-6886-5754 eschenk@usgs.gov","orcid":"https://orcid.org/0000-0001-6886-5754","contributorId":2183,"corporation":false,"usgs":true,"family":"Schenk","given":"Edward","email":"eschenk@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":484618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moulin, Bertrand","contributorId":80160,"corporation":false,"usgs":true,"family":"Moulin","given":"Bertrand","email":"","affiliations":[],"preferred":false,"id":484621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":484619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richte, Jean M.","contributorId":25856,"corporation":false,"usgs":true,"family":"Richte","given":"Jean","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":484620,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046501,"text":"70046501 - 2014 - Commercial possibilities for stranded conventional gas from Alaska's North Slope","interactions":[],"lastModifiedDate":"2014-02-24T10:46:05","indexId":"70046501","displayToPublicDate":"2013-09-06T13:03:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Commercial possibilities for stranded conventional gas from Alaska's North Slope","docAbstract":"Stranded gas resources are defined for this study as gas resources in discrete accumulations that are not currently commercially producible, or producible at full potential, for either physical or economic reasons. Approximately 35 trillion cubic feet (TCF) of stranded gas was identified on Alaska’s North Slope. The commercialization of this resource requires facilities to transport gas to markets where sales revenue will be sufficient to offset the cost of constructing and operating a gas delivery system. With the advent of the shale gas revolution, plans for a gas pipeline to the conterminous US have been shelved (at least temporarily) and the State and resource owners are considering a liquefied natural gas (LNG) export project that targets Asian markets. This paper focuses on competitive conditions for Asian gas import markets by estimating delivered costs of competing supplies from central Asia, Russia, Indonesia, Malaysia, and Australia in the context of a range of import gas demand projections for the period from 2020 to 2040. These suppliers’ costs are based on the cost of developing, producing, and delivering to markets tranches of the nearly 600 TCF of recoverable gas from their own conventional stranded gas fields. The results of these analyses imply that Alaska’s gas exports to Asia will likely encounter substantial competitive challenges. The sustainability of Asia’s oil-indexed LNG pricing is also discussed in light of a potentially intense level of competition.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Natural Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s11053-013-9213-9","usgsCitation":"Attanasi, E., and Freeman, P., 2014, Commercial possibilities for stranded conventional gas from Alaska's North Slope: Natural Resources Research, v. 23, no. 1, p. 175-193, https://doi.org/10.1007/s11053-013-9213-9.","productDescription":"19 p.","startPage":"175","endPage":"193","numberOfPages":"19","ipdsId":"IP-042212","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":277393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277389,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11053-013-9213-9"}],"country":"United States","state":"Alaska","otherGeospatial":"North Slope","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -166.85,68.0 ], [ -166.85,71.39 ], [ -141.0,71.39 ], [ -141.0,68.0 ], [ -166.85,68.0 ] ] ] } } ] }","volume":"23","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-07-10","publicationStatus":"PW","scienceBaseUri":"522aeb66e4b08fd0132e7925","contributors":{"authors":[{"text":"Attanasi, Emil 0000-0001-6845-7160 attanasi@usgs.gov","orcid":"https://orcid.org/0000-0001-6845-7160","contributorId":1809,"corporation":false,"usgs":true,"family":"Attanasi","given":"Emil","email":"attanasi@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":479721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, P.A. 0000-0002-0863-7431 pfreeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":3154,"corporation":false,"usgs":true,"family":"Freeman","given":"P.A.","email":"pfreeman@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":479722,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193802,"text":"70193802 - 2014 - Response of walleye and yellow perch to water-level fluctuations in glacial lakes","interactions":[],"lastModifiedDate":"2017-11-08T12:08:51","indexId":"70193802","displayToPublicDate":"2013-07-19T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Response of walleye and yellow perch to water-level fluctuations in glacial lakes","docAbstract":"<p><span>The influence of water levels on population characteristics of yellow perch,&nbsp;</span><i>Perca flavescens&nbsp;</i><span>(Mitchill), and walleye,<span>&nbsp;</span></span><i>Sander vitreus</i><span><span>&nbsp;</span>(Mitchill), was evaluated across a range of glacial lakes in north-eastern South Dakota, USA. Results showed that natural variation in water levels had an important influence on frequently measured fish population characteristics. Yellow perch abundance was significantly (</span><i>P</i><span>&lt;</span><span>0.10) greater during elevated water levels. Yellow perch size structure, as indexed by the proportional size distribution of quality- and preferred-length fish (PSD and PSD-P), was significantly greater during low-water years, as was walleye PSD. Mean relative weight of walleye increased significantly during high-water periods. The dynamic and unpredictable nature of water-level fluctuations in glacial lakes ultimately adds complexity to management of these systems.</span></p>","language":"English","publisher":"John Wiley & Sons, Inc.","doi":"10.1111/fme.12047","usgsCitation":"Dembkowski, D., Chipps, S.R., and Blackwell, B.G., 2014, Response of walleye and yellow perch to water-level fluctuations in glacial lakes: Fisheries Management and Ecology, v. 21, no. 2, p. 89-95, https://doi.org/10.1111/fme.12047.","productDescription":"7 p.","startPage":"89","endPage":"95","ipdsId":"IP-038632","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348435,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Bitter Lake, Cattail-Kettle Lake, Clear Lake, Enemy Swim Lake, Kampeska Lake, Lynn Lake, Poinsett Lake, Roy Lake, Waubay Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.95135498046875,\n              44.49454617990028\n            ],\n            [\n              -96.8609619140625,\n              44.49454617990028\n            ],\n            [\n              -96.8609619140625,\n              45.93778073466329\n            ],\n            [\n              -97.95135498046875,\n              45.93778073466329\n            ],\n            [\n              -97.95135498046875,\n              44.49454617990028\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-19","publicationStatus":"PW","scienceBaseUri":"5a0425c6e4b0dc0b45b45424","contributors":{"authors":[{"text":"Dembkowski, D.J.","contributorId":31995,"corporation":false,"usgs":true,"family":"Dembkowski","given":"D.J.","affiliations":[],"preferred":false,"id":721103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":720554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blackwell, B. G.","contributorId":191556,"corporation":false,"usgs":false,"family":"Blackwell","given":"B.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":721104,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70101266,"text":"70101266 - 2014 - Status of rainbow smelt in the U.S. waters of Lake Ontario, 2013","interactions":[],"lastModifiedDate":"2020-03-05T12:22:08","indexId":"70101266","displayToPublicDate":"2013-05-28T10:29:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5114,"text":"NYSDEC Lake Ontario Annual Report ","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"2013","chapter":"12","title":"Status of rainbow smelt in the U.S. waters of Lake Ontario, 2013","docAbstract":"Rainbow Smelt <i>Osmerus mordax</i> are the second most abundant pelagic prey fish in Lake Ontario after Alewife <i>Alosa psuedoharengus</i>. The 2013, USGS/NYSDEC bottom trawl assessment indicated the abundance of Lake Ontario age-1 and older Rainbow Smelt decreased by 69% relative to 2012. Length frequency-based age analysis indicated that age-1 Rainbow Smelt constituted approximately 50% of the population, which is similar to recent trends where the proportion of age-1 has ranged from 95% to 42% of the population. While they constituted approximately half of the catch, the overall abundance index for age 1 was one of the lowest observed in the time series, potentially a result of cannibalism from the previous year class. Combined data from all bottom trawl assessments along the southern shore and eastern basin indicate the proportion of the fish community that is Rainbow Smelt has declined over the past 30 years. In 2013 the proportion of the pelagic fish catch (only pelagic species) that was Rainbow Smelt was the second lowest in the time series at 3.1%. Community diversity indices, based on bottom trawl catches, indicate that Lake Ontario fish community diversity, as assessed by bottom trawls, has sharply declined over the past 36 years and in 2013 the index was the lowest value in the time series. Much of this community diversity decline is driven by changes in the pelagic fish community and dominance of Alewife.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2013 Annual report: Bureau of Fisheries, Lake Ontario unit and St. Lawrence River unit, to the Great Lakes Fishery Commission’s Lake Ontario Committee","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"conferenceTitle":"Lake Ontario Committee Meeting","conferenceDate":"March 26-27, 2014","conferenceLocation":"Windsor, ON","language":"English","publisher":"New York State Department of Environmental Conservation","publisherLocation":"Albany, NY","usgsCitation":"Weidel, B., and Connerton, M., 2014, Status of rainbow smelt in the U.S. waters of Lake Ontario, 2013: NYSDEC Lake Ontario Annual Report  2013, 5 p.","productDescription":"5 p.","startPage":"12-11","endPage":"12- 15","ipdsId":"IP-055072","costCenters":[{"id":324,"text":"Great Lakes Science 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,{"id":70044305,"text":"70044305 - 2014 - Trails through time: A geologist's guide to Jefferson County open space parks","interactions":[],"lastModifiedDate":"2016-05-17T14:45:50","indexId":"70044305","displayToPublicDate":"2013-01-31T13:31:00","publicationYear":"2014","noYear":false,"publicationType":{"id":4,"text":"Book"},"title":"Trails through time: A geologist's guide to Jefferson County open space parks","docAbstract":"<h1>Introduction</h1>\n<p>Jefferson County straddles one of the most conspicuous and important geographic and geologic boundaries in western<br />North America, the eastern flank of the Rocky Mountains. To the east you can travel 1,100 miles across Great Plains and<br />Central Lowlands before you sight the western foothills of the Appalachians. If you travel in the other direction you will<br />cross or skirt mountain range after mountain range until you sight the Coast Range near San Francisco, more than 900<br />miles to the west. Many of these mountains have different ages and origins than the Colorado mountains, but they are<br />all part of the great mountain belt called the North American Cordillera that extends along the western edge of the<br />continent from Alaska through Mexico.</p>\n<p>What is the reason for the remarkably straight and abrupt eastern flank of the Colorado Front Range? The brief answer<br />is that it marks the edge of a block of ancient metamorphic and igneous rocks that has been uplifted relative to younger<br />flat-laying sedimentary rocks that underlie the plains to the east. During the uplift, the sedimentary rocks along the<br />boundary have been uplifted and tilted eastward to form the discontinuous line of hogback ridges that parallel the<br />mountain front. Erosion during and after the uplift has removed the sedimentary rocks that once lay above the harder<br />rocks of the mountain uplift, carved the scenic peaks and mountain canyons in the hard crystalline rocks of uplifted<br />block, and worn away the softer layers of sedimentary rocks of the plains, but left a few of the harder upturned layers<br />along the mountain front as hogback ridges.</p>\n<p>Jefferson County Open Space Parks, as well as other nearby parks and National Forest lands, offer marvelous<br />opportunities to explore the geologic story behind this singular landscape. At first the distribution of rocks of different<br />ages and types seems almost random, but careful study of the rocks and landscape features reveals a captivating<br />geologic story, a history that tells of the building of the foundations of the continent, the rise and destruction of longvanished<br />mountain ranges, the ebb and flow of ancient seas, and the constant shaping and reshaping of the landscape in<br />response to the never-ending interplay between uplift and erosion. This historical account is constantly being improved<br />and expanded as new evidence accumulates and new interpretations evolve.</p>","language":"English","usgsCitation":"Reed, J., 2014, Trails through time: A geologist's guide to Jefferson County open space parks, 34 p.","productDescription":"34 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-019961","costCenters":[],"links":[{"id":321348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281839,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://jeffco.us/open-space/documents/natural-resources-documents/geologist-s-guide-to-jefferson-county-open-space/","text":"Report","size":"7.84 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Colorado","county":"Jefferson 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,{"id":70045077,"text":"70045077 - 2014 - Relation of landslides triggered by the Kiholo Bay earthquake to modeled ground motion","interactions":[],"lastModifiedDate":"2020-10-06T00:36:12.664857","indexId":"70045077","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Relation of landslides triggered by the Kiholo Bay earthquake to modeled ground motion","docAbstract":"<p>The 2006 Kiholo Bay, Hawaii, earthquake triggered high concentrations of rock falls and slides in the steep canyons of the Kohala Mountains along the north coast of Hawaii. Within these mountains and canyons a complex distribution of landslides was triggered by the earthquake shaking. In parts of the area, landslides were preferentially located on east‐facing slopes, whereas in other parts of the canyons no systematic pattern prevailed with respect to slope aspect or vertical position on the slopes. The geology within the canyons is homogeneous, so we hypothesize that the variable landslide distribution is the result of localized variation in ground shaking; therefore, we used a state‐of‐the‐art, high‐resolution ground‐motion simulation model to see if it could reproduce the landslide‐distribution patterns. We used a 3D finite‐element analysis to model earthquake shaking using a 10 m digital elevation model and slip on a finite‐fault model constructed from teleseismic records of the mainshock. Ground velocity time histories were calculated up to a frequency of 5 Hz. Dynamic shear strain also was calculated and compared with the landslide distribution. Results were mixed for the velocity simulations, with some areas showing correlation of landslide locations with peak modeled ground motions but many other areas showing no such correlation. Results were much improved for the comparison with dynamic shear strain. This suggests that (1) rock falls and slides are possibly triggered by higher frequency ground motions (velocities) than those in our simulations, (2) the ground‐motion velocity model needs more refinement, or (3) dynamic shear strain may be a more fundamental measurement of the decoupling process of slope materials during seismic shaking.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120140047","usgsCitation":"Harp, E.L., Hartzell, S., Jibson, R.W., Ramirez-Guzman, L., and Schmitt, R.G., 2014, Relation of landslides triggered by the Kiholo Bay earthquake to modeled ground motion: Bulletin of the Seismological Society of America, v. 104, no. 5, p. 2529-2540, https://doi.org/10.1785/0120140047.","productDescription":"12 p.","startPage":"2529","endPage":"2540","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033811","costCenters":[{"id":300,"text":"Geologic Hazards Science 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]\n}","volume":"104","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-09-16","publicationStatus":"PW","scienceBaseUri":"51e519eee4b069f8d27ccb23","contributors":{"authors":[{"text":"Harp, Edwin L. harp@usgs.gov","contributorId":1290,"corporation":false,"usgs":true,"family":"Harp","given":"Edwin","email":"harp@usgs.gov","middleInitial":"L.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":476742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartzell, Stephen H.","contributorId":94695,"corporation":false,"usgs":true,"family":"Hartzell","given":"Stephen H.","affiliations":[],"preferred":false,"id":476741,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jibson, Randall W. 0000-0003-3399-0875 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,{"id":70045222,"text":"ofr20121205 - 2013 - Coal fields of the conterminous United States—National Coal Resource Assessment updated version","interactions":[],"lastModifiedDate":"2021-12-16T17:29:20.544054","indexId":"ofr20121205","displayToPublicDate":"2021-12-16T12:32:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1205","displayTitle":"Coal fields of the conterminous United States—National Coal Resource Assessment updated version","title":"Coal fields of the conterminous United States—National Coal Resource Assessment updated version","docAbstract":"This map sheet with accompanying Geographic Information System (GIS) project is an update of the existing U.S. Geological Survey (USGS) Conterminous U.S. Coal Fields map. This update was compiled using data primarily from the USGS National Coal Resource Assessment (NCRA) and information from other published maps. The five regions examined by NCRA (Eastern, Gulf Coast, Interior, Rocky Mountain, and Northern Great Plains) constituted 93 percent of U.S. coal production at the time of the assessments. The map sheet shows aerial extent, rank, province, name (region and field), and age information, which are also attributes of the GIS project. Due to changing technological and economic constraints for coal usage, along with the potential for geologic carbon dioxide sequestration, this map sheet and the GIS component of this report do not differentiate between potentially minable coal and uneconomic coal. Additional figures on the map sheet show coal formations, current production by State, coal rank definitions, and charts showing historical trends of coal production.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121205","usgsCitation":"East, J.A., 2013, Coal fields of the conterminous United States—National Coal Resource Assessment updated version: U.S. Geological Survey Open-File Report 2012-1205, Map: 1 Sheet: 60 x 39 inches; Downloads Directory, https://doi.org/10.3133/ofr20121205.","productDescription":"Map: 1 Sheet: 60 x 39 inches; Downloads Directory","costCenters":[],"links":[{"id":270522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121205.png"},{"id":391168,"rank":5,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/of/2012/1205/Coal_Fields_Simplified.pdf","text":"Simplified presentation format map","size":"26.4 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Coal Fields of the Conterminous United States—National Coal Resource Assessment Updated Version in Simplified Presentation Format (2021)"},{"id":270520,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1205/pdf/Coal_Fields_Map.pdf","text":"Report","size":"44.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2012-1205"},{"id":270519,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1205/index.html"},{"id":270521,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2012/1205/Downloads"},{"id":391169,"rank":6,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/of/2012/1205/simplified-presentation-format.docx","text":"Simplified presentation format explanation","size":"12.5 KB"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -130.0,22.0 ], [ -130.0,53.0 ], [ -62.0,53.0 ], [ -62.0,22.0 ], [ -130.0,22.0 ] ] ] } } ] }","publicComments":"Scale: 1:5,000,000","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515befd8e4b075500ee5c9fa","contributors":{"authors":[{"text":"East, Joseph A. 0000-0003-4226-9174 jeast@usgs.gov","orcid":"https://orcid.org/0000-0003-4226-9174","contributorId":2747,"corporation":false,"usgs":true,"family":"East","given":"Joseph","email":"jeast@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":477063,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043821,"text":"sir20125282 - 2013 - Hydrogeology of the Susquehanna River valley-fill aquifer system and adjacent areas in eastern Broome and southeastern Chenango Counties, New York","interactions":[],"lastModifiedDate":"2021-11-17T01:53:35.677134","indexId":"sir20125282","displayToPublicDate":"2021-11-16T08:55:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5282","displayTitle":"Hydrogeology of the Susquehanna River Valley-Fill Aquifer System and Adjacent Areas in Eastern Broome and Southeastern Chenango Counties, New York","title":"Hydrogeology of the Susquehanna River valley-fill aquifer system and adjacent areas in eastern Broome and southeastern Chenango Counties, New York","docAbstract":"The hydrogeology of the valley-fill aquifer system along a 32-mile reach of the Susquehanna River valley and adjacent areas was evaluated in eastern Broome and southeastern Chenango Counties, New York. The surficial geology, inferred ice-marginal positions, and distribution of stratified-drift aquifers were mapped from existing data. Ice-marginal positions, which represent pauses in the retreat of glacial ice from the region, favored the accumulation of coarse-grained deposits whereas more steady or rapid ice retreat between these positions favored deposition of fine-grained lacustrine deposits with limited coarse-grained deposits at depth. Unconfined aquifers with thick saturated coarse-grained deposits are the most favorable settings for water-resource development, and three several-mile-long sections of valley were identified (mostly in Broome County) as potentially favorable: (1) the southernmost valley section, which extends from the New York–Pennsylvania border to about 1 mile north of South Windsor, (2) the valley section that rounds the west side of the umlaufberg (an isolated bedrock hill within a valley) north of Windsor, and (3) the east–west valley section at the Broome County–Chenango County border from Nineveh to East of Bettsburg (including the lower reach of the Cornell Brook valley). Fine-grained lacustrine deposits form extensive confining units between the unconfined areas, and the water-resource potential of confined aquifers is largely untested. Recharge, or replenishment, of these aquifers is dependent not only on infiltration of precipitation directly on unconfined aquifers, but perhaps more so from precipitation that falls in adjacent upland areas. Surface runoff and shallow groundwater from the valley walls flow downslope and recharge valley aquifers. Tributary streams that drain upland areas lose flow as they enter main valleys on permeable alluvial fans. This infiltrating water also recharges valley aquifers. Current (2012) use of water resources in the area is primarily through domestic wells, most of which are completed in fractured bedrock in upland areas. A few villages in the Susquehanna River valley have supply wells that draw water from beneath alluvial fans and near the Susquehanna River, which is a large potential source of water from induced infiltration.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125282","collaboration":"Prepared in cooperation with New York State Department of Environmental Conservation","usgsCitation":"Heisig, P.M., 2013, Hydrogeology of the Susquehanna River valley-fill aquifer system and adjacent areas in eastern Broome and southeastern Chenango Counties, New York: U.S. Geological Survey Scientific Investigations Report 2012–5282, 21 p., at https://pubs.usgs.gov/sir/2012/5282.","productDescription":"vii, 21 p.; 1 Appendix; Map: 1 Sheet: 30.50 x 38.00 inches","startPage":"i","endPage":"21","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":267842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5282.gif"},{"id":267840,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5282/appendix1/Appendix%201.xlsx"},{"id":267839,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5282/"},{"id":267841,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2012/5282/plate.html"}],"scale":"24000","country":"United States","state":"New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.76,40.48 ], [ -79.76,45.02 ], [ -71.85,45.02 ], [ -71.85,40.48 ], [ -79.76,40.48 ] ] ] } } ] }","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/ny-water\" data-mce-href=\"https://www.usgs.gov/centers/ny-water\">New York Water Science Center</a><br>U.S. Geological Survey<br>425 Jordan Road<br>Troy, NY 12180–8349</p>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2013-02-20","noUsgsAuthors":false,"publicationDate":"2013-02-20","publicationStatus":"PW","scienceBaseUri":"5125f087e4b09d00759cd058","contributors":{"authors":[{"text":"Heisig, Paul M. 0000-0003-0338-4970 pmheisig@usgs.gov","orcid":"https://orcid.org/0000-0003-0338-4970","contributorId":793,"corporation":false,"usgs":true,"family":"Heisig","given":"Paul","email":"pmheisig@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":474273,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70160930,"text":"70160930 - 2013 - Preliminary isostatic residual gravity map of the Newfoundland Mountains 30' by 60' quadrangle and east part of the Wells 30' by 60' quadrangle, Box Elder County, Utah","interactions":[],"lastModifiedDate":"2017-04-25T11:15:17","indexId":"70160930","displayToPublicDate":"2017-04-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"MP 13-4","title":"Preliminary isostatic residual gravity map of the Newfoundland Mountains 30' by 60' quadrangle and east part of the Wells 30' by 60' quadrangle, Box Elder County, Utah","docAbstract":"<p><span>A new isostatic residual gravity map of the Newfoundland Mountains and east of the Wells 30×60 quadrangles of Utah is based on compilation of preexisting data and new data collected by the Utah and U.S. Geological Surveys. Pronounced gravity lows occur over Grouse Creek Valley and locally beneath the Great Salt Lake Desert, indicating significant thickness of low-density Tertiary sedimentary rocks and deposits. Gravity highs coincide with exposures of dense pre-Cenozoic rocks in the Newfoundland, Silver Island, and Little Pigeon Mountains. Gravity values measured on pre-Tertiary basement to the north in the Bovine and Hogup Mountains are as much as 10mGal lower. Steep, linear gravity gradients may define basin-bounding faults concealed along the margins of the Newfoundland, Silver Island, and Little Pigeon Mountains, Lemay Island and the Pilot Range.</span></p>","language":"English","publisher":"Utah Geological Survey","collaboration":"Utah Geological Survey, a division of Utah Department of Natural Resources in cooperation with U.S. Department of the Interior U.S. Geological Survey","usgsCitation":"Langenheim, V., Athens, N., Churchel, B.A., Knepprath, N., Willis, H., Rosario, J.J., Roza, J., Kraushaar, S., and Hardwick, C., 2013, Preliminary isostatic residual gravity map of the Newfoundland Mountains 30' by 60' quadrangle and east part of the Wells 30' by 60' quadrangle, Box Elder County, Utah, CD-ROM, Map.","productDescription":"CD-ROM, Map","ipdsId":"IP-044317","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science 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,{"id":70160929,"text":"70160929 - 2013 - Preliminary isostatic gravity map of the Grouse Creek and east part of the Jackpot 30 by 60 quadrangles, Box Elder County, Utah, and Cassia County, Idaho","interactions":[],"lastModifiedDate":"2017-04-27T09:55:28","indexId":"70160929","displayToPublicDate":"2017-04-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesNumber":"MP-13-2","title":"Preliminary isostatic gravity map of the Grouse Creek and east part of the Jackpot 30 by 60 quadrangles, Box Elder County, Utah, and Cassia County, Idaho","docAbstract":"<p><span>A new isostatic residual gravity map of the northwest corner of Utah is based on compilation of preexisting data and new data collected by the Utah and United States Geological Surveys. Pronounced gravity lows occur over Junction, Grouse Creek, and upper Raft River Valleys, indicating significant thickness of low-density Tertiary sedimentary rocks and deposits. Gravity highs coincide with exposures of dense pre-Cenozoic rocks in the Raft River Mountains. Higher values in the eastern part of the map may be produced in part by deeper crustal density variations or crustal thinning. Steep linear gravity gradients coincide with mapped Neogene normal faults near Goose Creek and may define basin-bounding faults concealed beneath Junction and Upper Raft River Valleys.</span></p>","language":"English","publisher":"Utah Geological Survey","usgsCitation":"Langenheim, V., Willis, H., Athens, N., Chuchel, B.A., Roza, J., Hiscock, H., Hardwick, C., Kraushaar, S., Knepprath, N., and Rosario, J.J., 2013, Preliminary isostatic gravity map of the Grouse Creek and east part of the Jackpot 30 by 60 quadrangles, Box Elder County, Utah, and Cassia County, Idaho, CD-ROM, Map.","productDescription":"CD-ROM, Map","ipdsId":"IP-043819","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":340251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340249,"rank":1,"type":{"id":15,"text":"Index 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,{"id":70187115,"text":"70187115 - 2013 - Validation of chlorine and oxygen isotope ratio analysis to differentiate perchlorate sources and to document perchlorate biodegradation","interactions":[],"lastModifiedDate":"2017-04-25T09:21:38","indexId":"70187115","displayToPublicDate":"2017-04-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"ER-200509","title":"Validation of chlorine and oxygen isotope ratio analysis to differentiate perchlorate sources and to document perchlorate biodegradation","docAbstract":"Increased health concerns about perchlorate (ClO4-) during the past decade and subsequent regulatory considerations have generated appreciable interest in source identification. The key objective of the isotopic techniques described in this guidance manual is to provide evidence concerning the origin of ClO4- in soils and groundwater and, more specifically, whether that ClO4- is synthetic or natural. Chlorine and oxygen isotopic analyses of ClO4- provide the primary direct approach whereby different sources of ClO4- can be distinguished from each other. These techniques measure the relative abundances of the stable isotopes of chlorine (37Cl and 35Cl) and oxygen (18O, 17O, and 16O) in ClO4- using isotope-ratio mass spectrometry (IRMS). In addition, the relative abundance of the radioactive chlorine isotope 36Cl is measured using accelerator mass spectrometry (AMS). Taken together, these measurements provide four independent quantities that can be used to distinguish natural and synthetic ClO4- sources, to discriminate different types of natural ClO4-, and to detect ClO4- biodegradation in the environment. Other isotopic, chemical, and geochemical techniques that can be applied in conjunction with isotopic analyses of ClO4- to provide supporting data in forensic studies are also described.","language":"English","publisher":"U.S. Department of Defense","usgsCitation":"Hatzinger, P.B., Bohlke, J., Sturchio, N.C., and Gu, B., 2013, Validation of chlorine and oxygen isotope ratio analysis to differentiate perchlorate sources and to document perchlorate biodegradation, Report: xvii, 176 p.; Appendixes A-C; Supporting Information: S1-26.","productDescription":"Report: xvii, 176 p.; Appendixes A-C; Supporting Information: S1-26","ipdsId":"IP-045772","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":340221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340160,"type":{"id":15,"text":"Index 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,{"id":70173460,"text":"70173460 - 2013 - Landscape-scale evaluation of asymmetric interactions between Brown Trout and Brook Trout using two-species occupancy models","interactions":[],"lastModifiedDate":"2016-06-17T14:31:53","indexId":"70173460","displayToPublicDate":"2015-12-22T13:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Landscape-scale evaluation of asymmetric interactions between Brown Trout and Brook Trout using two-species occupancy models","docAbstract":"<p><span>Predicting the distribution of native stream fishes is fundamental to the management and conservation of many species. Modeling species distributions often consists of quantifying relationships between species occurrence and abundance data at known locations with environmental data at those locations. However, it is well documented that native stream fish distributions can be altered as a result of asymmetric interactions between dominant exotic and subordinate native species. For example, the naturalized exotic Brown Trout&nbsp;</span><i>Salmo trutta</i><span>&nbsp;has been identified as a threat to native Brook Trout&nbsp;</span><i>Salvelinus fontinalis</i><span>&nbsp;in the eastern United States. To evaluate large-scale patterns of co-occurrence and to quantify the potential effects of Brown Trout presence on Brook Trout occupancy, we used data from 624 stream sites to fit two-species occupancy models. These models assumed that asymmetric interactions occurred between the two species. In addition, we examined natural and anthropogenic landscape characteristics we hypothesized would be important predictors of occurrence of both species. Estimated occupancy for Brook Trout, from a co-occurrence model with no landscape covariates, at sites with Brown Trout present was substantially lower than sites where Brown Trout were absent. We also observed opposing patterns for Brook and Brown Trout occurrence in relation to percentage forest, impervious surface, and agriculture within the network catchment. Our results are consistent with other studies and suggest that alterations to the landscape, and specifically the transition from a forested catchment to one that contains impervious surface or agriculture, reduces the occurrence probability of wild Brook Trout. Our results, however, also suggest that the presence of Brown Trout results in lower occurrence probability of Brook Trout over a range of anthropogenic landscape characteristics, compared with streams where Brown Trout were absent.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2012.734892","usgsCitation":"Wagner, T., Deweber, J.T., Detar, J., and John A. Sweka, 2013, Landscape-scale evaluation of asymmetric interactions between Brown Trout and Brook Trout using two-species occupancy models: Transactions of the American Fisheries Society, v. 142, no. 2, p. 353-361, https://doi.org/10.1080/00028487.2012.734892.","productDescription":"8 p.","startPage":"353","endPage":"361","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041194","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323919,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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PA","active":true,"usgs":false}],"preferred":false,"id":637156,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Detar, Jason","contributorId":171356,"corporation":false,"usgs":false,"family":"Detar","given":"Jason","email":"","affiliations":[{"id":26873,"text":"Pennsylvania Fish and Boat Commission, Bellefonte, PA","active":true,"usgs":false}],"preferred":false,"id":637155,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"John A. Sweka","contributorId":171358,"corporation":false,"usgs":false,"family":"John A. Sweka","affiliations":[{"id":26874,"text":"USFWS, Lamar, PA","active":true,"usgs":false}],"preferred":false,"id":637157,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70046070,"text":"70046070 - 2013 - Interactions among hydrogeomorphology, vegetation, and nutrient biogeochemistry in floodplain ecosystems","interactions":[],"lastModifiedDate":"2016-06-23T15:20:30","indexId":"70046070","displayToPublicDate":"2015-02-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Interactions among hydrogeomorphology, vegetation, and nutrient biogeochemistry in floodplain ecosystems","docAbstract":"<p>Hydrogeomorphic, vegetative, and biogeochemical processes interact in floodplains resulting in great complexity that provides opportunities to better understand linkages among physical and biological processes in ecosystems. Floodplains and their associated river systems are structured by four dimensional gradients of hydrogeomorphology: longitudinal, lateral, vertical, and temporal components. These four dimensions create dynamic hydrologic and geomorphologic mosaics that have a large imprint on the vegetation and nutrient biogeochemistry of floodplains. Plant physiology, population dynamics, community structure, and productivity are all very responsive to floodplain hydrogeomorphology. The strength of this relationship between vegetation and hydrogeomorphology is evident in the use of vegetation as an indicator of hydrogeomorphic processes. However, vegetation also influences hydrogeomorphology by modifying hydraulics and sediment entrainment and deposition that typically stabilize geomorphic patterns. Nitrogen and phosphorus biogeochemistry commonly influence plant productivity and community composition, although productivity is not limited by nutrient availability in all floodplains. Conversely, vegetation influences nutrient biogeochemistry through direct uptake and storage as well as production of organic matter that regulates microbial biogeochemical processes. The biogeochemistries of nitrogen and phosphorus cycling are very sensitive to spatial and temporal variation in hydrogeomorphology, in particular floodplain wetness and sedimentation. The least studied interaction is the direct effect of biogeochemistry on hydrogeomorphology, but the control of nutrient availability over organic matter decomposition and thus soil permeability and elevation is likely important. Biogeochemistry also has the more documented but indirect control of hydrogeomorphology through regulation of plant biomass. In summary, the defining characteristics of floodplain ecosystems are determined by the many interactions among physical and biological processes. Conservation and restoration of the valuable ecosystem services that floodplains provide depends on improved understanding and predictive models of interactive system controls and behavior.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ecogeomorphology","language":"English","publisher":"Elsevier","publisherLocation":"Reston, VA","doi":"10.1016/B978-0-12-374739-6.00338-9","usgsCitation":"Noe, G.B., 2013, Interactions among hydrogeomorphology, vegetation, and nutrient biogeochemistry in floodplain ecosystems, chap. <i>of</i> Ecogeomorphology, v. 12, p. 307-321, https://doi.org/10.1016/B978-0-12-374739-6.00338-9.","productDescription":"15 p.","startPage":"307","endPage":"321","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026520","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":324307,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"UNITED STATES","volume":"12","edition":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576d0832e4b07657d1a3756d","contributors":{"authors":[{"text":"Noe, G. B.","contributorId":146903,"corporation":false,"usgs":true,"family":"Noe","given":"G.","email":"","middleInitial":"B.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":640576,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70148690,"text":"70148690 - 2013 - Oyster reef restoration in the Northern Gulf of Mexico: effect of artificial substrate and sge on nekton and benthic macroinvertebrate assemblage use","interactions":[],"lastModifiedDate":"2015-07-01T14:47:34","indexId":"70148690","displayToPublicDate":"2014-04-01T12:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Oyster reef restoration in the Northern Gulf of Mexico: effect of artificial substrate and sge on nekton and benthic macroinvertebrate assemblage use","docAbstract":"<p>In the northern Gulf of Mexico (GOM), reefs built by eastern oysters, Crassostrea virginica, provide critical habitat within shallow estuaries, and recent efforts have focused on restoring reefs to benefit nekton and benthic macroinvertebrates. We compared nekton and benthic macroinvertebrate assemblages at historic, newly created (&lt;5years) and old (&gt;6years) shell and rock substrate reefs. Using crab traps, gill-nets, otter trawls, cast nets, and benthic macroinvertebrate collectors, 20 shallow reefs (&lt;5m) in the northern GOM were sampled throughout the summer of 2011. We compared nekton and benthic assemblage abundance, diversity and composition across reef types. Except for benthic macroinvertebrate abundance, which was significantly higher on old rock reefs as compared to historic reefs, all reefs were similar to historic reefs, suggesting created reefs provide similar support of nekton and benthic assemblages as historic reefs. To determine refuge value of oyster structure for benthic macroinvertebrates compared to bare bottom, we tested preferences of juvenile crabs across depth and refuge complexity in the presence and absence of adult blue crabs (Callinectes sapidus). Juveniles were more likely to use deep water with predators present only when provided oyster structure. Provision of structural material to support and sustain development of benthic and mobile reef communities may be the most important factor in determining reef value to these assemblages, with biophysical characteristics related to reef location influencing assemblage patterns in areas with structure; if so, appropriately locating created reefs is critical.</p>","language":"English","publisher":"Wiley-Blackwell Publishing","doi":"10.1111/rec.12071","collaboration":"Louisiana Chapter of the Nature Conservancy (TNC); USGS through the Louisiana Cooperative Fish and Wildlife Research Unit; Louisiana Department of Wildlife and Fisheries (LDWF); LSU Department of Biological Sciences","usgsCitation":"Brown, L.A., Furlong, J.N., Brown, K.M., and LaPeyre, M.K., 2013, Oyster reef restoration in the Northern Gulf of Mexico: effect of artificial substrate and sge on nekton and benthic macroinvertebrate assemblage use: Restoration Ecology, v. 22, no. 2, p. 214-222, 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N.","contributorId":145458,"corporation":false,"usgs":false,"family":"Furlong","given":"Jessica","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":564102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Kenneth M.","contributorId":22672,"corporation":false,"usgs":true,"family":"Brown","given":"Kenneth","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":564103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":549057,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70059597,"text":"sim3281 - 2013 - California State Waters Map Series: Offshore of Santa Barbara, California","interactions":[],"lastModifiedDate":"2022-04-18T18:20:03.010443","indexId":"sim3281","displayToPublicDate":"2014-03-11T09:39:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3281","title":"California State Waters Map Series: Offshore of Santa Barbara, California","docAbstract":"<p>In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within the 3-nautical-mile limit of California’s State Waters. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data, acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology.</p>\n<br/>\n<p>The Offshore of Santa Barbara map area lies within the central Santa Barbara Channel region of the Southern California Bight. This geologically complex region forms a major biogeographic transition zone, separating the cold-temperate Oregonian province north of Point Conception from the warm-temperate California province to the south. The map area is in the southern part of the Western Transverse Ranges geologic province, which is north of the California Continental Borderland. Significant clockwise rotation—at least 90°—since the early Miocene has been proposed for the Western Transverse Ranges province, and geodetic studies indicate that the region is presently undergoing north-south shortening. Uplift rates (as much as 2.2 mm/yr) that are based on studies of onland marine terraces provide further evidence of significant shortening.</p>\n<br/>\n<p>The city of Santa Barbara, the main coastal population center in the map area, is part of a contiguous urban area that extends from Carpinteria to Goleta. This urban area was developed on the coalescing alluvial surfaces, uplifted marine terraces, and low hills that lie south of the east-west-trending Santa Ynez Mountains. Several beaches line the actively utilized Santa Barbara coastal zone, including Arroyo Burro Beach Park, Leadbetter Beach, East Beach, and “Butterfly Beach.” There are ongoing coastal erosion problems associated with both development and natural processes; between 1933–1934 and 1998, cliff erosion in the map area occurred at rates of about 0.1 to 1 m/yr, the largest amount (63 m) occurring at Arroyo Burro in the western part of the map area. In addition, development of the Santa Barbara Harbor, which began in 1928, lead to shoaling west of the harbor as the initial breakwater trapped sand, as well as to coastal erosion east of the harbor. Since 1959, annual harbor dredging has mitigated at least some of the downcoast erosion problems.</p>\n<br/>\n<p>The Offshore of Santa Barbara map area lies in the central part of the Santa Barbara littoral cell, which is characterized by littoral drift to the east-southeast. Drift rates have been estimated to be about 400,000 tons/yr at Santa Barbara Harbor. Sediment supply to the western and central parts of the littoral cell, including the map area, is largely from relatively small transverse coastal watersheds. Within the map area, these coastal watersheds include (from east to west) San Ysidro Creek, Oak Creek, Montecito Creek, Sycamore Creek, Mission Creek, Arroyo Burro, and Atascadero Creek. The Ventura and Santa Clara Rivers, the mouths of which are about 40 to 50 km southeast of Santa Barbara, are much larger sediment sources. Still farther east, eastward-moving sediment in the littoral cell is trapped by Hueneme and Mugu Canyons and then transported to the deep-water Santa Monica Basin.</p>\n<br/>\n<p>The offshore part of the map area consists of a relatively flat and shallow continental shelf, which dips gently seaward (about 0.4° to 0.8°) so that water depths at the 3-nautical-mile limit of California’s State Waters are about 45 m in the east and about 75 m in the west. This part of the Santa Barbara Channel is relatively well protected from large Pacific swells from the north and northwest by Point Conception and from the south and southwest by offshore islands and banks. The shelf is underlain by variable amounts of upper Quaternary shelf, estuarine, and fluvial sediments deposited as sea level fluctuated in the late Pleistocene.</p>\n<br/>\n<p>Seafloor habitats in the broad Santa Barbara Channel region consist of significant amounts of soft sediment and isolated areas of rocky habitat that support kelp-forest communities nearshore and rocky-reef communities in deep water. The potential marine benthic habitat types mapped in the Offshore of Santa Barbara map area are directly related to its Quaternary geologic history, geomorphology, and active sedimentary processes. These potential habitats, which lie within the Shelf (continental shelf) megahabitat, range from soft, unconsolidated sediment to hard sedimentary bedrock. 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