{"pageNumber":"179","pageRowStart":"4450","pageSize":"25","recordCount":10462,"records":[{"id":70038862,"text":"70038862 - 2012 - Frequent arousal from hibernation linked to severity of infection and mortality in bats with white-nose syndrome","interactions":[],"lastModifiedDate":"2015-06-19T15:01:13","indexId":"70038862","displayToPublicDate":"2012-06-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Frequent arousal from hibernation linked to severity of infection and mortality in bats with white-nose syndrome","docAbstract":"<p>White-nose syndrome (WNS), an emerging infectious disease that has killed over 5.5 million hibernating bats, is named for the causative agent, a white fungus (Geomyces destructans (Gd)) that invades the skin of torpid bats. During hibernation, arousals to warm (euthermic) body temperatures are normal but deplete fat stores. Temperature-sensitive dataloggers were attached to the backs of 504 free-ranging little brown bats (Myotis lucifugus) in hibernacula located throughout the northeastern USA. Dataloggers were retrieved at the end of the hibernation season and complete profiles of skin temperature data were available from 83 bats, which were categorized as: (1) unaffected, (2) WNS-affected but alive at time of datalogger removal, or (3) WNS-affected but found dead at time of datalogger removal. Histological confirmation of WNS severity (as indexed by degree of fungal infection) as well as confirmation of presence/absence of DNA from Gd by PCR was determined for 26 animals. We demonstrated that WNS-affected bats aroused to euthermic body temperatures more frequently than unaffected bats, likely contributing to subsequent mortality. Within the subset of WNS-affected bats that were found dead at the time of datalogger removal, the number of arousal bouts since datalogger attachment significantly predicted date of death. Additionally, the severity of cutaneous Gd infection correlated with the number of arousal episodes from torpor during hibernation. Thus, increased frequency of arousal from torpor likely contributes to WNS-associated mortality, but the question of how Gd infection induces increased arousals remains unanswered.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0038920","usgsCitation":"Reeder, D.M., Frank, C.L., Turner, G.G., Meteyer, C.U., Kurta, A., Britzke, E.R., Vodzak, M.E., Darling, S.R., Stihler, C.W., Hicks, A.C., Jacob, R., Grieneisen, L.E., Brownlee, S., Muller, L.K., and Blehert, D., 2012, Frequent arousal from hibernation linked to severity of infection and mortality in bats with white-nose syndrome: PLoS ONE, v. 7, no. 6, 10 p.; e38920, https://doi.org/10.1371/journal.pone.0038920.","productDescription":"10 p.; e38920","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":474435,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0038920","text":"Publisher Index Page"},{"id":258090,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":258087,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0038920","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Michigan, Pennsylvania, Vermont, West 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,{"id":70038875,"text":"70038875 - 2012 - The effect of changes in habitat conditions on the movement of juvenile Snail Kites Rostrhamus sociabilis","interactions":[],"lastModifiedDate":"2018-03-06T15:57:40","indexId":"70038875","displayToPublicDate":"2012-06-29T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1961,"text":"Ibis","active":true,"publicationSubtype":{"id":10}},"title":"The effect of changes in habitat conditions on the movement of juvenile Snail Kites Rostrhamus sociabilis","docAbstract":"The degradation of habitats due to human activities is a major topic of interest for the conservation and management of wild populations. There is growing evidence that the Florida Everglades ecosystem continues to suffer from habitat degradation. After a period of recovery in the 1990s, the Snail Kite Rostrhamus sociabilis population suffered a substantial decline in 2001 and has not recovered since. Habitat degradation has been suggested as one of the primary reasons for this lack of recovery. As a consequence of the continued degradation of the Everglades, we hypothesized that this would have led to increased movement of juvenile Kites over time, as a consequence of the need to find more favourable habitat. We used multistate mark-recapture models to compare between-site movement probabilities of juvenile Snail Kites in the 1990s (1992&ndash;95; which corresponds to the period before the decline) and 2000s (2003&ndash;06; after the decline). Our analyses were based on an extensive radiotelemetry study (266 birds tracked monthly over the entire state of Florida for a total period of 6 years) and considered factors such as sex and age of marked individuals. There was evidence of increased movement of juvenile Snail Kites during the post-decline period from most of the wetland regions used historically by Kites. Higher movement rates may contribute to an increase in the probability of mortality of young individuals and could contribute to the observed declines.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ibis: International Journal of Avain Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1474-919X.2012.01231.x","usgsCitation":"Bowling, A.C., Martin, J., and Kitchens, W.M., 2012, The effect of changes in habitat conditions on the movement of juvenile Snail Kites Rostrhamus sociabilis: Ibis, v. 154, no. 3, p. 554-565, https://doi.org/10.1111/j.1474-919X.2012.01231.x.","productDescription":"12 p.","startPage":"554","endPage":"565","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":258115,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":258094,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1474-919X.2012.01231.x","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","volume":"154","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-04-26","publicationStatus":"PW","scienceBaseUri":"505bab19e4b08c986b322c04","contributors":{"authors":[{"text":"Bowling, Andrea C.","contributorId":43615,"corporation":false,"usgs":true,"family":"Bowling","given":"Andrea","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":465143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Julien 0000-0002-7375-129X julienmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":5785,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","email":"julienmartin@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":465142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kitchens, Wiley M. kitchensw@usgs.gov","contributorId":2851,"corporation":false,"usgs":true,"family":"Kitchens","given":"Wiley","email":"kitchensw@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":465141,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70038113,"text":"70038113 - 2012 - Life at the hyperarid margin: novel bacterial diversity in arid soils of the Atacama Desert, Chile","interactions":[],"lastModifiedDate":"2018-03-23T14:39:02","indexId":"70038113","displayToPublicDate":"2012-06-22T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1615,"text":"Extremophiles","active":true,"publicationSubtype":{"id":10}},"title":"Life at the hyperarid margin: novel bacterial diversity in arid soils of the Atacama Desert, Chile","docAbstract":"Nearly half the earth's surface is occupied by dryland ecosystems, regions susceptible to reduced states of biological productivity caused by climate fluctuations. Of these regions, arid zones located at the interface between vegetated semiarid regions and biologically unproductive hyperarid zones are considered most vulnerable. The objective of this study was to conduct a deep diversity analysis of bacterial communities in unvegetated arid soils of the Atacama Desert, to characterize community structure and infer the functional potential of these communities based on observed phylogenetic associations. A 454-pyrotag analysis was conducted of three unvegetated arid sites located at the hyperarid-arid margin. The analysis revealed communities with unique bacterial diversity marked by high abundances of novel <i>Actinobacteria</i> and <i>Chloroflexi</i> and low levels of <i>Acidobacteria</i> and <i>Proteobacteria</i>, phyla that are dominant in many biomes. A 16S rRNA gene library of one site revealed the presence of clones with phylogenetic associations to chemoautotrophic taxa able to obtain energy through oxidation of nitrite, carbon monoxide, iron, or sulfur. Thus, soils at the hyperarid margin were found to harbor a wealth of novel bacteria and to support potentially viable communities with phylogenetic associations to non-phototrophic primary producers and bacteria capable of biogeochemical cycling.","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","usgsCitation":"Neilson, J.W., Quade, J., Ortiz, M., Nelson, W.M., Legatzki, A., Tian, F., LaComb, M., Betancourt, J.L., Wing, R.A., Soderlund, C.A., and Maier, R.M., 2012, Life at the hyperarid margin: novel bacterial diversity in arid soils of the Atacama Desert, Chile: Extremophiles, v. 16, no. 3, p. 553-566.","productDescription":"14 p.","startPage":"553","endPage":"566","costCenters":[{"id":601,"text":"U.S. Geological Survey, Tuscon, AZ","active":false,"usgs":true}],"links":[{"id":257813,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257811,"rank":9999,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007%2Fs00792-012-0454-z","linkFileType":{"id":5,"text":"html"}}],"country":"Chile","otherGeospatial":"Atacama Desert","volume":"16","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a4754e4b0c8380cd6781d","contributors":{"authors":[{"text":"Neilson, Julia W.","contributorId":44021,"corporation":false,"usgs":true,"family":"Neilson","given":"Julia","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":463456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quade, Jay","contributorId":104197,"corporation":false,"usgs":true,"family":"Quade","given":"Jay","email":"","affiliations":[],"preferred":false,"id":463461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ortiz, Marianyoly","contributorId":61286,"corporation":false,"usgs":true,"family":"Ortiz","given":"Marianyoly","email":"","affiliations":[],"preferred":false,"id":463459,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, William M.","contributorId":31611,"corporation":false,"usgs":true,"family":"Nelson","given":"William","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":463455,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Legatzki, Antje","contributorId":29252,"corporation":false,"usgs":true,"family":"Legatzki","given":"Antje","email":"","affiliations":[],"preferred":false,"id":463454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tian, Fei","contributorId":9106,"corporation":false,"usgs":true,"family":"Tian","given":"Fei","email":"","affiliations":[],"preferred":false,"id":463452,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"LaComb, Michelle","contributorId":57710,"corporation":false,"usgs":true,"family":"LaComb","given":"Michelle","email":"","affiliations":[],"preferred":false,"id":463458,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":463451,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wing, Rod A.","contributorId":76172,"corporation":false,"usgs":true,"family":"Wing","given":"Rod","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":463460,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Soderlund, Carol A.","contributorId":18613,"corporation":false,"usgs":true,"family":"Soderlund","given":"Carol","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":463453,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Maier, Raina M.","contributorId":50027,"corporation":false,"usgs":true,"family":"Maier","given":"Raina","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":463457,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70038295,"text":"70038295 - 2012 - Use of vertical temperature gradients for prediction of tidal flat sediment characteristics","interactions":[],"lastModifiedDate":"2013-02-23T22:25:16","indexId":"70038295","displayToPublicDate":"2012-06-22T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Use of vertical temperature gradients for prediction of tidal flat sediment characteristics","docAbstract":"Sediment characteristics largely govern tidal flat morphologic evolution; however, conventional methods of investigating spatial variability in lithology on tidal flats are difficult to employ in these highly dynamic regions. In response, a series of laboratory experiments was designed to investigate the use of temperature diffusion toward sediment characterization. A vertical thermistor array was used to quantify temperature gradients in simulated tidal flat sediments of varying compositions. Thermal conductivity estimates derived from these arrays were similar to measurements from a standard heated needle probe, which substantiates the thermistor methodology. While the thermal diffusivities of dry homogeneous sediments were similar, diffusivities for saturated homogeneous sediments ranged approximately one order of magnitude. The thermal diffusivity of saturated sand was five times the thermal diffusivity of saturated kaolin and more than eight times the thermal diffusivity of saturated bentonite. This suggests that vertical temperature gradients can be used for distinguishing homogeneous saturated sands from homogeneous saturated clays and perhaps even between homogeneous saturated clay types. However, experiments with more realistic tidal flat mixtures were less discriminating. Relationships between thermal diffusivity and percent fines for saturated mixtures varied depending upon clay composition, indicating that clay hydration and/or water content controls thermal gradients. Furthermore, existing models for the bulk conductivity of sediment mixtures were improved only through the use of calibrated estimates of homogeneous end-member conductivity and water content values. Our findings suggest that remotely sensed observations of water content and thermal diffusivity could only be used to qualitatively estimate tidal flat sediment characteristics.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research C: Oceans","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, DC","doi":"10.1029/2011JC007566","usgsCitation":"Miselis, J.L., Holland, K.T., Reed, A.H., and Abelev, A., 2012, Use of vertical temperature gradients for prediction of tidal flat sediment characteristics: Journal of Geophysical Research C: Oceans, v. 117, no. C3, p. C03012-C03023, https://doi.org/10.1029/2011JC007566.","productDescription":"10 p.","startPage":"C03012","endPage":"C03023","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474444,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011jc007566","text":"Publisher Index Page"},{"id":257826,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011JC007566"},{"id":257831,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"117","issue":"C3","noUsgsAuthors":false,"publicationDate":"2012-03-09","publicationStatus":"PW","scienceBaseUri":"505bbface4b08c986b329cdb","contributors":{"authors":[{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":463809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holland, K. Todd","contributorId":68748,"corporation":false,"usgs":true,"family":"Holland","given":"K.","email":"","middleInitial":"Todd","affiliations":[],"preferred":false,"id":463812,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Allen H.","contributorId":60898,"corporation":false,"usgs":true,"family":"Reed","given":"Allen","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":463810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abelev, Andrei","contributorId":65709,"corporation":false,"usgs":true,"family":"Abelev","given":"Andrei","email":"","affiliations":[],"preferred":false,"id":463811,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003513,"text":"70003513 - 2012 - Polymorphic microsatellite loci identified through development and cross-species amplification within shorebirds","interactions":[],"lastModifiedDate":"2018-08-20T18:11:35","indexId":"70003513","displayToPublicDate":"2012-06-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2409,"text":"Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Polymorphic microsatellite loci identified through development and cross-species amplification within shorebirds","docAbstract":"We developed microsatellite loci for demographic assessments of shorebirds, a group with limited markers. First, we isolated five dinucleotide repeat microsatellite loci from the Black Oystercatcher (Haematopodidae: Haematopus bachmani), and three from the Bristle-thighed Curlew (Scolopacidae: Numenius tahitiensis); both species are of conservation concern. All eight loci were polymorphic in their respective target species. <i>Hba&mu;</i> loci were characterized by two to three alleles with observed heterozygosity ranging from 0.07 to 0.33, and two to nine alleles were detected for <i>Nut</i> loci with observed heterozygosity ranging from 0.08 to 0.72. No linkage disequilibrium or departures from Hardy&ndash;Weinberg equilibrium were observed. The eight loci were also tested for cross-species amplification in 12 other species within Charadriidae and Scolopacidae, and the results demonstrated transferability across several genera. We further tested all 14 species at 12 additional microsatellite markers developed for other shorebirds: Dunlin (Calidris alpina; four loci) and Ruff (Philomachus pugnax; eight loci). Two markers (<i>Hba&mu;</i>4 and <i>Ruff</i>6) were polymorphic in 13 species, while two (<i>Calp</i>6 and <i>Ruff</i>9) were monomorphic. The remaining eight markers revealed polymorphism in one to nine species each. Our results provide further evidence that locus <i>Ruff</i>10 is sex-linked, contrary to the initial description. These markers can be used to enhance our understanding of shorebird biology by, for example, helping to determine migratory connectivity among breeding and wintering populations and detecting relatedness among individuals.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Ornithology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10336-011-0811-1","usgsCitation":"Williams, I., Guzzetti, B.M., Gust, J.R., Sage, G.K., Gill, R., Tibbitts, T.L., Sonsthagen, S.A., and Talbot, S.L., 2012, Polymorphic microsatellite loci identified through development and cross-species amplification within shorebirds: Journal of Ornithology, v. 153, no. 2, p. 593-601, https://doi.org/10.1007/s10336-011-0811-1.","productDescription":"9 p.","startPage":"593","endPage":"601","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":257774,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257771,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10336-011-0811-1","linkFileType":{"id":5,"text":"html"}}],"volume":"153","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-01-24","publicationStatus":"PW","scienceBaseUri":"505a7d05e4b0c8380cd79ce3","contributors":{"authors":[{"text":"Williams, I.","contributorId":36343,"corporation":false,"usgs":true,"family":"Williams","given":"I.","email":"","affiliations":[],"preferred":false,"id":347591,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guzzetti, Brian M.","contributorId":6277,"corporation":false,"usgs":false,"family":"Guzzetti","given":"Brian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":347588,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gust, Judy R.","contributorId":62458,"corporation":false,"usgs":false,"family":"Gust","given":"Judy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":347595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sage, G. Kevin 0000-0003-1431-2286 ksage@usgs.gov","orcid":"https://orcid.org/0000-0003-1431-2286","contributorId":4348,"corporation":false,"usgs":true,"family":"Sage","given":"G.","email":"ksage@usgs.gov","middleInitial":"Kevin","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":347589,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gill, Robert E. Jr. 0000-0002-6385-4500 rgill@usgs.gov","orcid":"https://orcid.org/0000-0002-6385-4500","contributorId":171747,"corporation":false,"usgs":true,"family":"Gill","given":"Robert E.","suffix":"Jr.","email":"rgill@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":347594,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592 ltibbitts@usgs.gov","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":140455,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T.","email":"ltibbitts@usgs.gov","middleInitial":"Lee","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":347590,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":347593,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":347592,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70004060,"text":"70004060 - 2012 - Climate impacts on bird and plant communities from altered animal-plant interactions","interactions":[],"lastModifiedDate":"2012-06-22T01:01:41","indexId":"70004060","displayToPublicDate":"2012-06-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Climate impacts on bird and plant communities from altered animal-plant interactions","docAbstract":"The contribution of climate change to declining populations of organisms remains a question of outstanding concern. Much attention to declining populations has focused on how changing climate drives phenological mismatches between animals and their food. Effects of climate on plant communities may provide an alternative, but particularly powerful, influence on animal populations because plants provide their habitats. Here, we show that abundances of deciduous trees and associated songbirds have declined with decreasing snowfall over 22 years of study in montane Arizona, USA. We experimentally tested the hypothesis that declining snowfall indirectly influences plants and associated birds by allowing greater over-winter herbivory by elk (Cervus canadensis). We excluded elk from one of two paired snowmelt drainages (10 ha per drainage), and replicated this paired experiment across three distant canyons. Over six years, we reversed multi-decade declines in plant and bird populations by experimentally inhibiting heavy winter herbivory associated with declining snowfall. Moreover, predation rates on songbird nests decreased in exclosures, despite higher abundances of nest predators, demonstrating the over-riding importance of habitat quality to avian recruitment. Thus, our results suggest that climate impacts on plant&ndash;animal interactions can have forceful ramifying effects on plants, birds, and ecological interactions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature Climate Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nature Publishing Group","publisherLocation":"London, U.K.","doi":"10.1038/nclimate1348","usgsCitation":"Martin, T.E., and Maron, J.L., 2012, Climate impacts on bird and plant communities from altered animal-plant interactions: Nature Climate Change, v. 2, p. 195-200, https://doi.org/10.1038/nclimate1348.","productDescription":"6 p.","startPage":"195","endPage":"200","costCenters":[{"id":399,"text":"Montana Cooperative Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":474449,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/1233361","text":"External Repository"},{"id":257778,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257770,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/nclimate1348","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona","volume":"2","noUsgsAuthors":false,"publicationDate":"2012-01-10","publicationStatus":"PW","scienceBaseUri":"5059f652e4b0c8380cd4c6b7","contributors":{"authors":[{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":350383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maron, John L.","contributorId":103936,"corporation":false,"usgs":true,"family":"Maron","given":"John","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":350384,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70038794,"text":"70038794 - 2012 - Effects of capture by trammel net on Colorado River native fishes","interactions":[],"lastModifiedDate":"2012-06-21T01:01:41","indexId":"70038794","displayToPublicDate":"2012-06-20T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects of capture by trammel net on Colorado River native fishes","docAbstract":"Trammel nets are commonly used to sample rare fishes; however, little research has assessed delayed mortality associated with this capture technique. We conducted laboratory experiments to evaluate the effects of capture by trammel net on bonytail Gila elegans, razorback sucker Xyrauchen texanus, and roundtail chub Gila robusta, at 15, 20, and 25uC. Fish (139&ndash;288 mm total length) were entangled in a trammel net for 2 h or captured by seine net and then monitored for mortality for at least 14 d. Blood samples were collected immediately after capture, and plasma cortisol levels were quantified as an index of capture-related stress. The cortisol response varied by species, but mean cortisol levels were higher for fish captured by trammel netting (295.9 ng/mL) relative to fish captured by seine netting (215.8 ng/mL). Only one fish (of 550) died during capture and handling, but 42% of the trammel-netted fish and 11% of the seine-netted fish died within 14 d after capture. In general, mortality after capture by trammel net increased with increased water temperature and at 25uC was 88% for bonytail, 94% for razorback sucker, and 25% for roundtail chub. Delayed mortality of wild-caught fish captured by trammel net has the potential to be high, at least under some circumstances. We suggest that sampling frequency, timing of sampling (relative to reproductive cycles), and water temperature all be considered carefully when using trammel nets to sample diminished populations of imperiled native fishes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Fish and Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"U.S. Fish and Wildlife Service","publisherLocation":"Arlington, VA","doi":"10.3996/122011-JFWM-070","usgsCitation":"Hunt, T.A., Ward, D.L., Propper, C.R., and Gibb, A., 2012, Effects of capture by trammel net on Colorado River native fishes: Journal of Fish and Wildlife Management, v. 3, no. 1, p. 133-141, https://doi.org/10.3996/122011-JFWM-070.","productDescription":"9 p.","startPage":"133","endPage":"141","numberOfPages":"9","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":474451,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/122011-jfwm-070","text":"Publisher Index Page"},{"id":257779,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257767,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3996/122011-JFWM-070","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Colorado River","volume":"3","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a06a3e4b0c8380cd51349","contributors":{"authors":[{"text":"Hunt, Teresa A.","contributorId":71069,"corporation":false,"usgs":true,"family":"Hunt","given":"Teresa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":464949,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ward, David L. 0000-0002-3355-0637 dlward@usgs.gov","orcid":"https://orcid.org/0000-0002-3355-0637","contributorId":3879,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dlward@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":464947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Propper, Catherine R.","contributorId":73079,"corporation":false,"usgs":true,"family":"Propper","given":"Catherine","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":464950,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gibb, Alice C.","contributorId":59312,"corporation":false,"usgs":true,"family":"Gibb","given":"Alice C.","affiliations":[],"preferred":false,"id":464948,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044464,"text":"70044464 - 2012 - Temporal genetic monitoring of hybridization between native westslope cutthroat trout and introduced rainbow trout in the Stehekin River, Washington","interactions":[],"lastModifiedDate":"2016-05-03T15:33:11","indexId":"70044464","displayToPublicDate":"2012-06-15T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Temporal genetic monitoring of hybridization between native westslope cutthroat trout and introduced rainbow trout in the Stehekin River, Washington","docAbstract":"<p><span>Introgressive hybridization with introduced rainbow trout (RBT) (</span><i>Oncorhynchus mykiss</i><span>) has led to the loss of native cutthroat trout species (</span><i>O. clarkii</i><span>) throughout their range, creating conservation concerns. Monitoring temporal hybridization trends provides resource managers with a tool for determining population status and information for establishing conservation goals for native cutthroat trout. In this study, we re-sampled six locations in 2010 within the Stehekin River watershed, North Cascades National Park, which were originally sampled between 1999 and 2003. We used genetic markers to monitor changes in hybridization levels between sampling periods in the native westslope cutthroat trout (WCT) (</span><i>O. c. lewisi</i><span>) stemming from past RBT introductions. Additionally, two new locations from the lower Stehekin drainage were added to the baseline data. We found that the frequency of WCT, RBT, and their hybrids was not significantly different between monitoring periods, but that RBT allele frequencies decreased in two locations and increased in one location. We also found a consistent, substantial reduction in the frequency of RBT alleles over the monitoring period in the Stehekin River upstream of Bridge Creek (SR3) compared to the Stehekin River downstream of Bridge Creek (SR1 -2) and within lower Bridge Creek (BR1) although these three locations are confined to a small geographic area (approximately 5 km). Ecological and/or evolutionary processes likely restrict the dispersal of RBT alleles in the Stehekin River upstream of Bridge Creek.</span></p>","language":"English","publisher":"Northwest Scientific Association","doi":"10.3955/046.086.0305","usgsCitation":"Ostberg, C.O., and Chase, D., 2012, Temporal genetic monitoring of hybridization between native westslope cutthroat trout and introduced rainbow trout in the Stehekin River, Washington: Northwest Science, v. 86, no. 3, p. 198-211, https://doi.org/10.3955/046.086.0305.","productDescription":"14 p.","startPage":"198","endPage":"211","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033981","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":269397,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.039,48.454 ], [ -121.039,48.458 ], [ -121.037,48.458 ], [ -121.037,48.454 ], [ -121.039,48.454 ] ] ] } } ] }","volume":"86","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51444305e4b01f722f6c2597","contributors":{"authors":[{"text":"Ostberg, Carl O. 0000-0003-1479-8458 costberg@usgs.gov","orcid":"https://orcid.org/0000-0003-1479-8458","contributorId":3031,"corporation":false,"usgs":true,"family":"Ostberg","given":"Carl","email":"costberg@usgs.gov","middleInitial":"O.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":475669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chase, Dorothy M.","contributorId":59319,"corporation":false,"usgs":true,"family":"Chase","given":"Dorothy M.","affiliations":[],"preferred":false,"id":475670,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037944,"text":"70037944 - 2012 - Factors affecting incubation patterns and sex roles of black oystercatchers in Alaska","interactions":[],"lastModifiedDate":"2012-06-16T01:01:35","indexId":"70037944","displayToPublicDate":"2012-06-15T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Factors affecting incubation patterns and sex roles of black oystercatchers in Alaska","docAbstract":"Studies examining the effects of human disturbance on avian parental behavior and reproductive success are fundamental to bird conservation. However, many such studies fail to also consider the influence of natural threats, a variable environment, and parental roles. Our work examines interactive relationships of cyclical (time of day, tide, temperature, seasonality) and stochastic (natural/human disturbance) processes with incubation patterns (attendance, bout lengths, recess rates) of the Black Oystercatcher (Haematopus bachmani), a shorebird of conservation concern. We used 24-hour-per-day video monitoring of 13 molecularly-sexed breeding pairs to systematically examine incubation, revealing previously undocumented information that may inform conservation practices for the genus. Seven of 22 video-monitored nests failed, primarily from egg depredation by nocturnally-active mammals. Analyses of 3177 hrs of video footage indicated a near doubling of incubation bout lengths at night, corresponding to the increased risk of nighttime egg predation. Females had higher overall nest attendance (54% vs. 42%) and longer mean incubation bout lengths than males (88 min vs. 73 min). Uninterrupted incubation bouts were over twice as long as bouts interrupted by disturbance. Incubating males departed nests substantially more frequently due to nest-area disturbances than females in one, but not both, years of our study. Our findings suggest that sexes exhibit different, but complimentary, incubation patterns, facilitating efficient egg care in a dynamic environment with several nest threats. We emphasize the importance of considering natural influences when evaluating human threats to shorebird reproductive behavior and success.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Condor","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cooper Ornithological Society","publisherLocation":"Waco, TX","doi":"10.1525/cond.2011.100094","usgsCitation":"Spiegel, C.S., Haig, S.M., Goldstein, M.I., and Huso, M.M., 2012, Factors affecting incubation patterns and sex roles of black oystercatchers in Alaska: The Condor, v. 114, no. 1, p. 123-134, https://doi.org/10.1525/cond.2011.100094.","productDescription":"12 p.","startPage":"123","endPage":"134","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":474455,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/cond.2011.100094","text":"Publisher Index Page"},{"id":257614,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257608,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1525/cond.2011.100094","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","volume":"114","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0ea3e4b0c8380cd53553","contributors":{"authors":[{"text":"Spiegel, Caleb S.","contributorId":43213,"corporation":false,"usgs":true,"family":"Spiegel","given":"Caleb","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":463134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":463132,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldstein, Michael I.","contributorId":94641,"corporation":false,"usgs":true,"family":"Goldstein","given":"Michael","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":463135,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huso, Manuela M. P. mhuso@usgs.gov","contributorId":4487,"corporation":false,"usgs":true,"family":"Huso","given":"Manuela","email":"mhuso@usgs.gov","middleInitial":"M. P.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":463133,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70004043,"text":"70004043 - 2012 - Effects of sample size, number of markers, and allelic richness on the detection of spatial genetic pattern","interactions":[],"lastModifiedDate":"2012-06-15T01:01:35","indexId":"70004043","displayToPublicDate":"2012-06-14T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"Effects of sample size, number of markers, and allelic richness on the detection of spatial genetic pattern","docAbstract":"The influence of study design on the ability to detect the effects of landscape pattern on gene flow is one of the most pressing methodological gaps in landscape genetic research. To investigate the effect of study design on landscape genetics inference, we used a spatially-explicit, individual-based program to simulate gene flow in a spatially continuous population inhabiting a landscape with gradual spatial changes in resistance to movement. We simulated a wide range of combinations of number of loci, number of alleles per locus and number of individuals sampled from the population. We assessed how these three aspects of study design influenced the statistical power to successfully identify the generating process among competing hypotheses of isolation-by-distance, isolation-by-barrier, and isolation-by-landscape resistance using a causal modelling approach with partial Mantel tests. We modelled the statistical power to identify the generating process as a response surface for equilibrium and non-equilibrium conditions after introduction of isolation-by-landscape resistance. All three variables (loci, alleles and sampled individuals) affect the power of causal modelling, but to different degrees. Stronger partial Mantel <i>r</i> correlations between landscape distances and genetic distances were found when more loci were used and when loci were more variable, which makes comparisons of effect size between studies difficult. Number of individuals did not affect the accuracy through mean equilibrium partial Mantel <i>r</i>, but larger samples decreased the uncertainty (increasing the precision) of equilibrium partial Mantel <i>r</i> estimates. We conclude that amplifying more (and more variable) loci is likely to increase the power of landscape genetic inferences more than increasing number of individuals.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Molecular Ecology Resources","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1755-0998.2011.03077.x","usgsCitation":"Landguth, E.L., Gedy, B.C., Oyler-McCance, S.J., Garey, A.L., Emel, S.L., Mumma, M., Wagner, H.H., Fortin, M., and Cushman, S., 2012, Effects of sample size, number of markers, and allelic richness on the detection of spatial genetic pattern: Molecular Ecology Resources, v. 12, no. 2, p. 276-284, https://doi.org/10.1111/j.1755-0998.2011.03077.x.","productDescription":"9 p.","startPage":"276","endPage":"284","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":257600,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257589,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1755-0998.2011.03077.x","linkFileType":{"id":5,"text":"html"}}],"volume":"12","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-10-02","publicationStatus":"PW","scienceBaseUri":"505a07bce4b0c8380cd517df","contributors":{"authors":[{"text":"Landguth, Erin L.","contributorId":69002,"corporation":false,"usgs":true,"family":"Landguth","given":"Erin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":350292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gedy, Bradley C.","contributorId":44023,"corporation":false,"usgs":true,"family":"Gedy","given":"Bradley","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":350291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":350286,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garey, Andrew L.","contributorId":74621,"corporation":false,"usgs":true,"family":"Garey","given":"Andrew","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":350293,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Emel, Sarah L.","contributorId":20200,"corporation":false,"usgs":true,"family":"Emel","given":"Sarah","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":350288,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mumma, Matthew","contributorId":102731,"corporation":false,"usgs":true,"family":"Mumma","given":"Matthew","affiliations":[],"preferred":false,"id":350294,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wagner, Helene H.","contributorId":12309,"corporation":false,"usgs":true,"family":"Wagner","given":"Helene","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":350287,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fortin, Marie-Josée","contributorId":40462,"corporation":false,"usgs":true,"family":"Fortin","given":"Marie-Josée","affiliations":[],"preferred":false,"id":350289,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cushman, Samuel A.","contributorId":41273,"corporation":false,"usgs":true,"family":"Cushman","given":"Samuel A.","affiliations":[],"preferred":false,"id":350290,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70038711,"text":"70038711 - 2012 - Point sources of emerging contaminants along the Colorado River Basin: Source water for the arid Southwestern United States","interactions":[],"lastModifiedDate":"2017-05-23T12:37:18","indexId":"70038711","displayToPublicDate":"2012-06-14T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Point sources of emerging contaminants along the Colorado River Basin: Source water for the arid Southwestern United States","docAbstract":"<p><span>Emerging contaminants (ECs) (e.g., pharmaceuticals, illicit drugs, personal care products) have been detected in waters across the United States. The objective of this study was to evaluate point sources of ECs along the Colorado River, from the headwaters in Colorado to the Gulf of California. At selected locations in the Colorado River Basin (sites in Colorado, Utah, Nevada, Arizona, and California), waste stream tributaries and receiving surface waters were sampled using either grab sampling or polar organic chemical integrative samplers (POCIS). The grab samples were extracted using solid-phase cartridge extraction (SPE), and the POCIS sorbents were transferred into empty SPEs and eluted with methanol. All extracts were prepared for, and analyzed by, liquid chromatography–electrospray-ion trap mass spectrometry (LC–ESI-ITMS). Log </span><i>D</i><sub>OW</sub><span> values were calculated for all ECs in the study and compared to the empirical data collected. POCIS extracts were screened for the presence of estrogenic chemicals using the yeast estrogen screen (YES) assay. Extracts from the 2008 POCIS deployment in the Las Vegas Wash showed the second highest estrogenicity response. In the grab samples, azithromycin (an antibiotic) was detected in all but one urban waste stream, with concentrations ranging from 30&nbsp;ng/L to 2800&nbsp;ng/L. Concentration levels of azithromycin, methamphetamine and pseudoephedrine showed temporal variation from the Tucson WWTP. Those ECs that were detected in the main surface water channels (those that are diverted for urban use and irrigation along the Colorado River) were in the region of the limit-of-detection (e.g., 10&nbsp;ng/L), but most were below detection limits.</span></p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.scitotenv.2012.04.053","usgsCitation":"Jones-Lepp, T.L., Sanchez, C., Alvarez, D., Wilson, D.C., and Taniguchi-Fu, R., 2012, Point sources of emerging contaminants along the Colorado River Basin: Source water for the arid Southwestern United States: Science of the Total Environment, v. 430, p. 237-245, https://doi.org/10.1016/j.scitotenv.2012.04.053.","productDescription":"9 p.","startPage":"237","endPage":"245","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":257605,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona;California;Colorado;Nevada;New Mexico;Utah","volume":"430","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7cb4e4b0c8380cd79b2a","contributors":{"authors":[{"text":"Jones-Lepp, Tammy L.","contributorId":103132,"corporation":false,"usgs":true,"family":"Jones-Lepp","given":"Tammy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":464751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanchez, Charles","contributorId":88625,"corporation":false,"usgs":true,"family":"Sanchez","given":"Charles","email":"","affiliations":[],"preferred":false,"id":464750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alvarez, David A.","contributorId":72755,"corporation":false,"usgs":true,"family":"Alvarez","given":"David A.","affiliations":[],"preferred":false,"id":464749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Doyle C.","contributorId":59313,"corporation":false,"usgs":true,"family":"Wilson","given":"Doyle","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":464748,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taniguchi-Fu, Randi-Laurant","contributorId":28493,"corporation":false,"usgs":true,"family":"Taniguchi-Fu","given":"Randi-Laurant","email":"","affiliations":[],"preferred":false,"id":464747,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70189963,"text":"70189963 - 2012 - Modeling thermal dynamics of active layer soils and near-surface permafrost using a fully coupled water and heat transport model","interactions":[],"lastModifiedDate":"2017-07-31T07:43:10","indexId":"70189963","displayToPublicDate":"2012-06-13T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2316,"text":"Journal of Geophysical Research D: Atmospheres","active":true,"publicationSubtype":{"id":10}},"title":"Modeling thermal dynamics of active layer soils and near-surface permafrost using a fully coupled water and heat transport model","docAbstract":"<p><span>Thawing and freezing processes are key components in permafrost dynamics, and these processes play an important role in regulating the hydrological and carbon cycles in the northern high latitudes. In the present study, we apply a well-developed soil thermal model that fully couples heat and water transport, to simulate the thawing and freezing processes at daily time steps across multiple sites that vary with vegetation cover, disturbance history, and climate. The model performance was evaluated by comparing modeled and measured soil temperatures at different depths. We use the model to explore the influence of climate, fire disturbance, and topography (north- and south-facing slopes) on soil thermal dynamics. Modeled soil temperatures agree well with measured values for both boreal forest and tundra ecosystems at the site level. Combustion of organic-soil horizons during wildfire alters the surface energy balance and increases the downward heat flux through the soil profile, resulting in the warming and thawing of near-surface permafrost. A projection of 21st century permafrost dynamics indicates that as the climate warms, active layer thickness will likely increase to more than 3 meters in the boreal forest site and deeper than one meter in the tundra site. Results from this coupled heat-water modeling approach represent faster thaw rates than previously simulated in other studies. We conclude that the discussed soil thermal model is able to well simulate the permafrost dynamics and could be used as a tool to analyze the influence of climate change and wildfire disturbance on permafrost thawing.</span></p>","language":"English","doi":"10.1029/2012JD017512","usgsCitation":"Jiang, Y., Zhuang, Q., and O’Donnell, J.A., 2012, Modeling thermal dynamics of active layer soils and near-surface permafrost using a fully coupled water and heat transport model: Journal of Geophysical Research D: Atmospheres, v. 117, D11110: 15 p., https://doi.org/10.1029/2012JD017512.","productDescription":"D11110: 15 p.","ipdsId":"IP-036930","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"117","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2012-06-08","publicationStatus":"PW","scienceBaseUri":"5980419ee4b0a38ca278937e","contributors":{"authors":[{"text":"Jiang, Yueyang","contributorId":195377,"corporation":false,"usgs":false,"family":"Jiang","given":"Yueyang","email":"","affiliations":[],"preferred":false,"id":706906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhuang, Qianlai","contributorId":101975,"corporation":false,"usgs":true,"family":"Zhuang","given":"Qianlai","affiliations":[],"preferred":false,"id":706947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Donnell, Jonathan A. 0000-0001-7031-9808","orcid":"https://orcid.org/0000-0001-7031-9808","contributorId":191423,"corporation":false,"usgs":false,"family":"O’Donnell","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":706905,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70038497,"text":"70038497 - 2012 - Chiral pesticides: Identification, description, and environmental implications","interactions":[],"lastModifiedDate":"2021-05-27T19:05:41.640894","indexId":"70038497","displayToPublicDate":"2012-06-12T12:20:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Chiral pesticides: Identification, description, and environmental implications","docAbstract":"Anthropogenic chemicals, including pesticides, are a major source of contamination and pollution in the environment. Pesticides have many positive uses: increased food production, decreased damage to crops and structures, reduced disease vector populations, and more. Nevertheless, pesticide exposure can pose risks to humans and the environment, so various mitigation strategies are exercised to make them safer, minimize their use, and reduce their unintended environment effects. One strategy that may help achieve these goals relies on the unique properties of chirality or molecular asymmetry. Some common terms related to chirality are defined in Table 1.","language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/978-1-4614-2329-4_1","usgsCitation":"Ulrich, E.M., Morrison, C.N., Goldsmith, M.R., and Foreman, W., 2012, Chiral pesticides: Identification, description, and environmental implications: Archives of Environmental Contamination and Toxicology, v. 217, p. 1-74, https://doi.org/10.1007/978-1-4614-2329-4_1.","productDescription":"74 p.","startPage":"1","endPage":"74","costCenters":[{"id":140,"text":"Branch of Analytical Serv (National Water Quality Laboratory)","active":false,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":257521,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"217","noUsgsAuthors":false,"publicationDate":"2012-01-30","publicationStatus":"PW","scienceBaseUri":"5059f5bce4b0c8380cd4c3be","contributors":{"authors":[{"text":"Ulrich, Elin M.","contributorId":62071,"corporation":false,"usgs":true,"family":"Ulrich","given":"Elin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":464417,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morrison, Candice N.","contributorId":94539,"corporation":false,"usgs":true,"family":"Morrison","given":"Candice","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":464418,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldsmith, Michael R.","contributorId":100680,"corporation":false,"usgs":true,"family":"Goldsmith","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":464419,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foreman, William T. wforeman@usgs.gov","contributorId":1473,"corporation":false,"usgs":true,"family":"Foreman","given":"William T.","email":"wforeman@usgs.gov","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":false,"id":464416,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70038477,"text":"70038477 - 2012 - Aftershock seismicity of the 2010 Maule Mw=8.8 Chile, earthquake: Correlation between co-seismic slip models and aftershock distribution?","interactions":[],"lastModifiedDate":"2012-06-13T01:01:48","indexId":"70038477","displayToPublicDate":"2012-06-12T11:50:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Aftershock seismicity of the 2010 Maule Mw=8.8 Chile, earthquake: Correlation between co-seismic slip models and aftershock distribution?","docAbstract":"The 27 February 2010 Maule, Chile (Mw=8.8) earthquake is one of the best instrumentally observed subduction zone megathrust events. Here we present locations, magnitudes and cumulative equivalent moment of the first -2 months of aftershocks, recorded on a temporary network deployed within 2 weeks of the occurrence of the mainshock. Using automatically-determined onset times and a back projection approach for event association, we are able to detect over 30,000 events in the time period analyzed. To further increase the location accuracy, we systematically searched for potential S-wave arrivals and events were located in a regional 2D velocity model. Additionally, we calculated regional moment tensors to gain insight into the deformation history of the aftershock sequence. We find that the aftershock seismicity is concentrated between 40 and 140 km distance from the trench over a depth range of 10 to 35 km. Focal mechanisms indicate a predominance of thrust faulting, with occasional normal faulting events. Increased activity is seen in the outer-rise region of the Nazca plate, predominantly in the northern part of the rupture area. Further down-dip, a second band of clustered seismicity, showing mainly thrust motion, is located at depths of 40&ndash;45 km. By comparing recent published mainshock source inversions with our aftershock distribution, we discriminate slip models based on the assumption that aftershocks occur in areas of rapid transition between high and low slip, surrounding high-slip regions of the mainshock.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2012GL051308","usgsCitation":"Rietbrock, A., Ryder, I., Hayes, G., Haberland, C., Comte, D., and Roecker, S., 2012, Aftershock seismicity of the 2010 Maule Mw=8.8 Chile, earthquake: Correlation between co-seismic slip models and aftershock distribution?: Geophysical Research Letters, v. 39, 5 p.; L08310, https://doi.org/10.1029/2012GL051308.","productDescription":"5 p.; L08310","temporalStart":"2010-02-27","temporalEnd":"2010-02-27","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":474467,"rank":201,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-02057777","text":"External Repository"},{"id":257518,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257498,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://dx.doi.org/10.1029/2012GL051308","linkFileType":{"id":5,"text":"html"}}],"country":"Chile","volume":"39","noUsgsAuthors":false,"publicationDate":"2012-04-28","publicationStatus":"PW","scienceBaseUri":"5059e8d2e4b0c8380cd47ec5","contributors":{"authors":[{"text":"Rietbrock, A.","contributorId":71826,"corporation":false,"usgs":true,"family":"Rietbrock","given":"A.","affiliations":[],"preferred":false,"id":464335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ryder, I.","contributorId":11422,"corporation":false,"usgs":true,"family":"Ryder","given":"I.","email":"","affiliations":[],"preferred":false,"id":464332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, G.","contributorId":81349,"corporation":false,"usgs":true,"family":"Hayes","given":"G.","affiliations":[],"preferred":false,"id":464336,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haberland, C.","contributorId":16210,"corporation":false,"usgs":true,"family":"Haberland","given":"C.","affiliations":[],"preferred":false,"id":464333,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Comte, D.","contributorId":52447,"corporation":false,"usgs":true,"family":"Comte","given":"D.","email":"","affiliations":[],"preferred":false,"id":464334,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roecker, S.","contributorId":10173,"corporation":false,"usgs":true,"family":"Roecker","given":"S.","email":"","affiliations":[],"preferred":false,"id":464331,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70003726,"text":"70003726 - 2012 - Pore- and fracture-filling gas hydrate reservoirs in the Gulf of Mexico Gas Hydrate Joint Industry Project Leg II Green Canyon 955 H well","interactions":[],"lastModifiedDate":"2012-06-09T01:01:37","indexId":"70003726","displayToPublicDate":"2012-06-08T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Pore- and fracture-filling gas hydrate reservoirs in the Gulf of Mexico Gas Hydrate Joint Industry Project Leg II Green Canyon 955 H well","docAbstract":"High-quality logging-while-drilling (LWD) downhole logs were acquired in seven wells drilled during the Gulf of MexicoGasHydrateJointIndustryProjectLegII in the spring of 2009. Well logs obtained in one of the wells, the GreenCanyon Block 955Hwell (GC955-H), indicate that a 27.4-m thick zone at the depth of 428 m below sea floor (mbsf; 1404 feet below sea floor (fbsf)) contains gashydrate within sand with average gashydrate saturations estimated at 60% from the compressional-wave (P-wave) velocity and 65% (locally more than 80%) from resistivity logs if the gashydrate is assumed to be uniformly distributed in this mostly sand-rich section. Similar analysis, however, of log data from a shallow clay-rich interval between 183 and 366 mbsf (600 and 1200 fbsf) yielded average gashydrate saturations of about 20% from the resistivity log (locally 50-60%) and negligible amounts of gashydrate from the P-wave velocity logs. Differences in saturations estimated between resistivity and P-wave velocities within the upper clay-rich interval are caused by the nature of the gashydrate occurrences. In the case of the shallow clay-rich interval, gashydrate fills vertical (or high angle) fractures in rather than fillingpore space in sands. In this study, isotropic and anisotropic resistivity and velocity models are used to analyze the occurrence of gashydrate within both the clay-rich and sand dominated gas-hydrate-bearing reservoirs in the GC955-Hwell.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine and Petroleum Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.marpetgeo.2011.08.002","usgsCitation":"Lee, M.W., and Collett, T.S., 2012, Pore- and fracture-filling gas hydrate reservoirs in the Gulf of Mexico Gas Hydrate Joint Industry Project Leg II Green Canyon 955 H well: Marine and Petroleum Geology, v. 34, no. 1, p. 62-71, https://doi.org/10.1016/j.marpetgeo.2011.08.002.","productDescription":"10 p.","startPage":"62","endPage":"71","numberOfPages":"32","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":257393,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marpetgeo.2011.08.002","linkFileType":{"id":5,"text":"html"}},{"id":257400,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf Of Mexico","volume":"34","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7dcde4b0c8380cd7a17e","contributors":{"authors":[{"text":"Lee, Myung W.","contributorId":84358,"corporation":false,"usgs":true,"family":"Lee","given":"Myung","middleInitial":"W.","affiliations":[],"preferred":false,"id":348545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collett, T. S. 0000-0002-7598-4708","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":86342,"corporation":false,"usgs":true,"family":"Collett","given":"T.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":348546,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70038513,"text":"70038513 - 2012 - Biodiversity of man-made open habitats in an underused country: a class of multispecies abundance models for count data","interactions":[],"lastModifiedDate":"2012-06-07T01:01:38","indexId":"70038513","displayToPublicDate":"2012-06-08T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1006,"text":"Biodiversity and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Biodiversity of man-made open habitats in an underused country: a class of multispecies abundance models for count data","docAbstract":"Since the 1960s, Japan has become highly dependent on foreign countries for natural resources, and the amount of managed lands (e.g. coppice, grassland, and agricultural field) has declined. Due to infrequent natural and human disturbance, early-successional species are now declining in Japan. Here we surveyed bees, birds, and plants in four human-disturbed open habitats (pasture, meadow, young planted forest, and abandoned clear-cut) and two forest habitats (mature planted forest and natural old-growth). We extended a recently developed multispecies abundance model to accommodate count data, and used the resulting models to estimate species-, functional group-, and community-level state variables (abundance and species richness) at each site, and compared them among the six habitats. Estimated individual-level detection probability was quite low for bee species (mean across species = 0.003; 0.16 for birds). Thirty-two (95% credible interval: 13-64) and one (0-4) bee and bird species, respectively, were suggested to be undetected by the field survey. Although habitats in which community-level abundance and species richness was highest differed among taxa, species richness and abundance of early-successional species were similar in the four disturbed open habitats across taxa except for plants in the pasture habitat which was a good habitat only for several exotic species. Our results suggest that human disturbance, especially the revival of plantation forestry, may contribute to the restoration of early-successional species in Japan","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biodiversity and Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10531-012-0244-z","usgsCitation":"Yamaura, Y., Royle, J., Shimada, N., Asanuma, S., Sato, T., Taki, H., and Makino, S., 2012, Biodiversity of man-made open habitats in an underused country: a class of multispecies abundance models for count data: Biodiversity and Conservation, v. 21, no. 6, p. 1365-1380, https://doi.org/10.1007/s10531-012-0244-z.","productDescription":"16 p.","startPage":"1365","endPage":"1380","numberOfPages":"16","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":257267,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257258,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10531-012-0244-z","linkFileType":{"id":5,"text":"html"}}],"country":"Japan","volume":"21","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-03-25","publicationStatus":"PW","scienceBaseUri":"5059f14be4b0c8380cd4ab78","contributors":{"authors":[{"text":"Yamaura, Yuichi","contributorId":95997,"corporation":false,"usgs":true,"family":"Yamaura","given":"Yuichi","affiliations":[],"preferred":false,"id":464487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":464485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shimada, Naoaki","contributorId":89395,"corporation":false,"usgs":true,"family":"Shimada","given":"Naoaki","email":"","affiliations":[],"preferred":false,"id":464486,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Asanuma, Seigo","contributorId":73456,"corporation":false,"usgs":true,"family":"Asanuma","given":"Seigo","email":"","affiliations":[],"preferred":false,"id":464484,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sato, Tamotsu","contributorId":98993,"corporation":false,"usgs":true,"family":"Sato","given":"Tamotsu","email":"","affiliations":[],"preferred":false,"id":464488,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taki, Hisatomo","contributorId":16697,"corporation":false,"usgs":true,"family":"Taki","given":"Hisatomo","affiliations":[],"preferred":false,"id":464482,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Makino, Shun’ichi","contributorId":66401,"corporation":false,"usgs":true,"family":"Makino","given":"Shun’ichi","email":"","affiliations":[],"preferred":false,"id":464483,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70038153,"text":"70038153 - 2012 - Semiparametric bivariate zero-inflated Poisson models with application to studies of abundance for multiple species","interactions":[],"lastModifiedDate":"2017-05-22T15:43:30","indexId":"70038153","displayToPublicDate":"2012-06-06T11:47:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1577,"text":"Environmetrics","active":true,"publicationSubtype":{"id":10}},"title":"Semiparametric bivariate zero-inflated Poisson models with application to studies of abundance for multiple species","docAbstract":"Ecological studies involving counts of abundance, presence&ndash;absence or occupancy rates often produce data having a substantial proportion of zeros. Furthermore, these types of processes are typically multivariate and only adequately described by complex nonlinear relationships involving externally measured covariates. Ignoring these aspects of the data and implementing standard approaches can lead to models that fail to provide adequate scientific understanding of the underlying ecological processes, possibly resulting in a loss of inferential power. One method of dealing with data having excess zeros is to consider the class of univariate zero-inflated generalized linear models. However, this class of models fails to address the multivariate and nonlinear aspects associated with the data usually encountered in practice. Therefore, we propose a semiparametric bivariate zero-inflated Poisson model that takes into account both of these data attributes. The general modeling framework is hierarchical Bayes and is suitable for a broad range of applications. We demonstrate the effectiveness of our model through a motivating example on modeling catch per unit area for multiple species using data from the Missouri River Benthic Fishes Study, implemented by the United States Geological Survey.","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/env.1142","usgsCitation":"Arab, A., Holan, S.H., Wikle, C.K., and Wildhaber, M.L., 2012, Semiparametric bivariate zero-inflated Poisson models with application to studies of abundance for multiple species: Environmetrics, v. 23, no. 2, p. 183-196, https://doi.org/10.1002/env.1142.","productDescription":"14 p.","startPage":"183","endPage":"196","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":474473,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://arxiv.org/abs/1105.3169","text":"External Repository"},{"id":257436,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"23","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-12-02","publicationStatus":"PW","scienceBaseUri":"505b8d14e4b08c986b31825a","contributors":{"authors":[{"text":"Arab, Ali","contributorId":75002,"corporation":false,"usgs":true,"family":"Arab","given":"Ali","email":"","affiliations":[],"preferred":false,"id":463523,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holan, Scott H.","contributorId":15878,"corporation":false,"usgs":true,"family":"Holan","given":"Scott","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":463521,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wikle, Christopher K.","contributorId":55680,"corporation":false,"usgs":true,"family":"Wikle","given":"Christopher","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":463522,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":463520,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70038650,"text":"70038650 - 2012 - One hundred years of volcano monitoring in Hawaii","interactions":[],"lastModifiedDate":"2018-10-30T09:25:10","indexId":"70038650","displayToPublicDate":"2012-06-06T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"One hundred years of volcano monitoring in Hawaii","docAbstract":"In 2012 the Hawaiian Volcano Observatory (HVO), the oldest of five volcano observatories in the United States, is commemorating the 100th anniversary of its founding. HVO's location, on the rim of Kilauea volcano (Figure 1)&mdash;one of the most active volcanoes on Earth&mdash;has provided an unprecedented opportunity over the past century to study processes associated with active volcanism and develop methods for hazards assessment and mitigation. The scientifically and societally important results that have come from 100 years of HVO's existence are the realization of one man's vision of the best way to protect humanity from natural disasters. That vision was a response to an unusually destructive decade that began the twentieth century, a decade that saw almost 200,000 people killed by the effects of earthquakes and volcanic eruptions.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2012EO030001","usgsCitation":"Kauahikaua, J.P., and Poland, M.P., 2012, One hundred years of volcano monitoring in Hawaii: Eos, Transactions, American Geophysical Union, v. 93, no. 3, p. 29-30, https://doi.org/10.1029/2012EO030001.","productDescription":"2 p.","startPage":"29","endPage":"30","numberOfPages":"2","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":257415,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257406,"rank":100,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012EO030001","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Hawai'i","volume":"93","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-01-17","publicationStatus":"PW","scienceBaseUri":"505a6e27e4b0c8380cd754ef","contributors":{"authors":[{"text":"Kauahikaua, James P. 0000-0003-3777-503X jimk@usgs.gov","orcid":"https://orcid.org/0000-0003-3777-503X","contributorId":2146,"corporation":false,"usgs":true,"family":"Kauahikaua","given":"James","email":"jimk@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":464596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":464597,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70038480,"text":"70038480 - 2012 - Studying biodiversity: is a new paradigm really needed?","interactions":[],"lastModifiedDate":"2012-06-07T01:01:38","indexId":"70038480","displayToPublicDate":"2012-06-06T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Studying biodiversity: is a new paradigm really needed?","docAbstract":"Authors in this journal have recommended a new approach to the conduct of biodiversity science. This data-driven approach requires the organization of large amounts of ecological data, analysis of these data to discover complex patterns, and subsequent development of hypotheses corresponding to detected patterns. This proposed new approach has been contrasted with more-traditional knowledge-based approaches in which investigators deduce consequences of competing hypotheses to be confronted with actual data, providing a basis for discriminating among the hypotheses. We note that one approach is directed at hypothesis generation, whereas the other is also focused on discriminating among competing hypotheses. Here, we argue for the importance of using existing knowledge to the separate issues of (a) hypothesis selection and generation and (b) hypothesis discrimination and testing. In times of limited conservation funding, the relative efficiency of different approaches to learning should be an important consideration in decisions about how to study biodiversity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"BioScience","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Institute of Biological Sciences","publisherLocation":"Washington, D.C.","doi":"10.1525/bio.2012.62.5.11","usgsCitation":"Nichols, J., Cooch, E.G., Nichols, J., and Sauer, J., 2012, Studying biodiversity: is a new paradigm really needed?: BioScience, v. 62, no. 5, p. 497-502, https://doi.org/10.1525/bio.2012.62.5.11.","productDescription":"6 p.","startPage":"497","endPage":"502","numberOfPages":"6","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474479,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/bio.2012.62.5.11","text":"Publisher Index Page"},{"id":257307,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257279,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1525/bio.2012.62.5.11","linkFileType":{"id":5,"text":"html"}}],"volume":"62","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9ce3e4b08c986b31d505","contributors":{"authors":[{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":464344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cooch, Evan G.","contributorId":100673,"corporation":false,"usgs":true,"family":"Cooch","given":"Evan","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":464347,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, Jonathan M.","contributorId":45945,"corporation":false,"usgs":true,"family":"Nichols","given":"Jonathan M.","affiliations":[],"preferred":false,"id":464346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sauer, John R. jrsauer@usgs.gov","contributorId":3737,"corporation":false,"usgs":true,"family":"Sauer","given":"John R.","email":"jrsauer@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":464345,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70038483,"text":"70038483 - 2012 - Estimating parameters of hidden Markov models based on marked individuals: use of robust design data","interactions":[],"lastModifiedDate":"2012-06-07T01:01:38","indexId":"70038483","displayToPublicDate":"2012-06-06T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating parameters of hidden Markov models based on marked individuals: use of robust design data","docAbstract":"Development and use of multistate mark-recapture models, which provide estimates of parameters of Markov processes in the face of imperfect detection, have become common over the last twenty years. Recently, estimating parameters of hidden Markov models, where the state of an individual can be uncertain even when it is detected, has received attention. Previous work has shown that ignoring state uncertainty biases estimates of survival and state transition probabilities, thereby reducing the power to detect effects. Efforts to adjust for state uncertainty have included special cases and a general framework for a single sample per period of interest. We provide a flexible framework for adjusting for state uncertainty in multistate models, while utilizing multiple sampling occasions per period of interest to increase precision and remove parameter redundancy. These models also produce direct estimates of state structure for each primary period, even for the case where there is just one sampling occasion. We apply our model to expected value data, and to data from a study of Florida manatees, to provide examples of the improvement in precision due to secondary capture occasions. We also provide user-friendly software to implement these models. This general framework could also be used by practitioners to consider constrained models of particular interest, or model the relationship between within-primary period parameters (e.g., state structure) and between-primary period parameters (e.g., state transition probabilities).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","doi":"10.1890/11-1538.1","usgsCitation":"Kendall, W.L., White, G.C., Hines, J., Langtimm, C.A., and Yoshizaki, J., 2012, Estimating parameters of hidden Markov models based on marked individuals: use of robust design data: Ecology, v. 93, no. 4, p. 913-920, https://doi.org/10.1890/11-1538.1.","productDescription":"8 p.","startPage":"913","endPage":"920","numberOfPages":"8","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":257309,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257270,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-1538.1","linkFileType":{"id":5,"text":"html"}}],"volume":"93","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0b34e4b0c8380cd52607","contributors":{"authors":[{"text":"Kendall, William L. wkendall@usgs.gov","contributorId":406,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"wkendall@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":464352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Gary C.","contributorId":66831,"corporation":false,"usgs":false,"family":"White","given":"Gary","email":"","middleInitial":"C.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":464355,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hines, James E. jhines@usgs.gov","contributorId":3506,"corporation":false,"usgs":true,"family":"Hines","given":"James E.","email":"jhines@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":464354,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Langtimm, Catherine A. 0000-0001-8499-5743 clangtimm@usgs.gov","orcid":"https://orcid.org/0000-0001-8499-5743","contributorId":3045,"corporation":false,"usgs":true,"family":"Langtimm","given":"Catherine","email":"clangtimm@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":464353,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yoshizaki, Jun","contributorId":69403,"corporation":false,"usgs":true,"family":"Yoshizaki","given":"Jun","email":"","affiliations":[],"preferred":false,"id":464356,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70038510,"text":"70038510 - 2012 - Erosion, storage, and transport of sediment in two subbasins of the Rio Puerco, New Mexico","interactions":[],"lastModifiedDate":"2012-06-07T01:01:38","indexId":"70038510","displayToPublicDate":"2012-06-06T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Erosion, storage, and transport of sediment in two subbasins of the Rio Puerco, New Mexico","docAbstract":"Arroyos in the American Southwest proceed through cut-and-fill cycles that operate at centennial to millennial time scales. The geomorphic community has put much effort into understanding the causes of arroyo cutting in the late Quaternary and in the modern record (late 1800s), while little effort has gone into understanding how arroyos fill and the sources of this fill. Here, we successfully develop a geographic information system (GIS)-modeled sediment budget that is based on detailed field measurements of hillslope and channel erosion and deposition. Field measurements were made in two arroyo basins draining different lithologies and undergoing different land disturbance (Volcano Hill Wash, 9.30 km<sup>2</sup>; Arroyo Chavez, 2.11 km<sup>2</sup>) over a 3 yr period. Both basins have incised channels that formed in response to the late nineteenth-century incision of the Rio Puerco. Large volumes of sediment were generated during arroyo incision, equal to more than 100 yr of the current annual total sediment load (bed load + suspended load) in each basin. Downstream reaches in both arroyos are presently aggrading, and the main source of the sediment is from channel erosion in upstream reaches and first- and second-order tributaries. The sediment budget shows that channel erosion is the largest source of sediment in the current stage of the arroyo cycle: 98% and 80% of the sediment exported out of Volcano Hill Wash and Arroyo Chavez, respectively. The geomorphic surface most affected by arroyo incision and one of the most important sediment sources is the valley alluvium, where channel erosion, gullying, soil piping, and grazing all occur. Erosion rates calculated for the entire Volcano Hill Wash (-0.26 mm/yr) and Arroyo Chavez (-0.53 mm/yr) basins are higher than the modeled upland erosion rates in each basin, reflecting the large contributions from channel erosion. Erosion rates in each basin are affected by a combination of land disturbance (grazing) and lithology--erodible sandstones and shales in Arroyo Chavez compared with basalt for Volcano Hill Wash. Despite these differences, hillslope sediment yields are similar to long-term denudation rates. As the arroyo fills over time from mouth to headwaters, hillslope sediment becomes a more significant sediment source.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"GSA Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Gelogical Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/B30392.1","usgsCitation":"Gellis, A., Pavich, M., Ellwein, A., Aby, S., Clark, I., Wieczorek, M., and Viger, R., 2012, Erosion, storage, and transport of sediment in two subbasins of the Rio Puerco, New Mexico: GSA Bulletin, v. 124, no. 5/6, p. 817-841, https://doi.org/10.1130/B30392.1.","productDescription":"25 p.","startPage":"817","endPage":"841","numberOfPages":"24","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":257264,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257254,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/B30392.1","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Mexico","otherGeospatial":"Rio Puerco","volume":"124","issue":"5/6","noUsgsAuthors":false,"publicationDate":"2011-12-09","publicationStatus":"PW","scienceBaseUri":"505a0a41e4b0c8380cd52284","contributors":{"authors":[{"text":"Gellis, A. C.","contributorId":99590,"corporation":false,"usgs":true,"family":"Gellis","given":"A. C.","affiliations":[],"preferred":false,"id":464479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pavich, M.J.","contributorId":70788,"corporation":false,"usgs":true,"family":"Pavich","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":464476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellwein, A.L.","contributorId":83354,"corporation":false,"usgs":true,"family":"Ellwein","given":"A.L.","affiliations":[],"preferred":false,"id":464478,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aby, S.","contributorId":18148,"corporation":false,"usgs":true,"family":"Aby","given":"S.","affiliations":[],"preferred":false,"id":464473,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, I.","contributorId":38766,"corporation":false,"usgs":true,"family":"Clark","given":"I.","email":"","affiliations":[],"preferred":false,"id":464475,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wieczorek, M.E.","contributorId":79260,"corporation":false,"usgs":true,"family":"Wieczorek","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":464477,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Viger, R.","contributorId":29191,"corporation":false,"usgs":true,"family":"Viger","given":"R.","affiliations":[],"preferred":false,"id":464474,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70038631,"text":"70038631 - 2012 - Ultraviolet irradiation effects incorporation of nitrate and nitrite nitrogen into aquatic natural organic matter","interactions":[],"lastModifiedDate":"2012-06-07T01:01:38","indexId":"70038631","displayToPublicDate":"2012-06-06T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Ultraviolet irradiation effects incorporation of nitrate and nitrite nitrogen into aquatic natural organic matter","docAbstract":"One of the concerns regarding the safety and efficacy of ultraviolet radiation for treatment of drinking water and wastewater is the fate of nitrate, particularly its photolysis to nitrite. In this study, <sup>15</sup>N NMR was used to establish for the first time that UV irradiation effects the incorporation of nitrate and nitrite nitrogen into aquatic natural organic matter (NOM). Irradiation of <sup>15</sup>N-labeled nitrate in aqueous solution with an unfiltered medium pressure mercury lamp resulted in the incorporation of nitrogen into Suwannee River NOM (SRNOM) via nitrosation and other reactions over a range of pH from approximately 3.2 to 8.0, both in the presence and absence of bicarbonate, confirming photonitrosation of the NOM. The major forms of the incorporated label include nitrosophenol, oxime/nitro, pyridine, nitrile, and amide nitrogens. Natural organic matter also catalyzed the reduction of nitrate to ammonia on irradiation. The nitrosophenol and oxime/nitro nitrogens were found to be susceptible to photodegradation on further irradiation when nitrate was removed from the system. At pH 7.5, unfiltered irradiation resulted in the incorporation of <sup>15</sup>N-labeled nitrite into SRNOM in the form of amide, nitrile, and pyridine nitrogen. In the presence of bicarbonate at pH 7.4, Pyrex filtered (cutoff below 290&ndash;300 nm) irradiation also effected incorporation of nitrite into SRNOM as amide nitrogen. We speculate that nitrosation of NOM from the UV irradiation of nitrate also leads to production of nitrogen gas and nitrous oxide, a process that may be termed photo-chemodenitrification. Irradiation of SRNOM alone resulted in transformation or loss of naturally abundant heterocyclic nitrogens.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Quality","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Agronomy","publisherLocation":"Madison, WI","doi":"10.2134/jeq2011.0335","usgsCitation":"Thorn, K.A., and Cox, L.G., 2012, Ultraviolet irradiation effects incorporation of nitrate and nitrite nitrogen into aquatic natural organic matter: Journal of Environmental Quality, v. 41, no. 3, p. 865-881, https://doi.org/10.2134/jeq2011.0335.","productDescription":"17 p.","startPage":"865","endPage":"881","numberOfPages":"17","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":474475,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2011.0335","text":"Publisher Index Page"},{"id":257302,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257285,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2011.0335","linkFileType":{"id":5,"text":"html"}}],"volume":"41","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-05-01","publicationStatus":"PW","scienceBaseUri":"505bbc0ce4b08c986b3289ce","contributors":{"authors":[{"text":"Thorn, Kevin A. 0000-0003-2236-5193 kathorn@usgs.gov","orcid":"https://orcid.org/0000-0003-2236-5193","contributorId":3288,"corporation":false,"usgs":true,"family":"Thorn","given":"Kevin","email":"kathorn@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":464552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cox, Larry G. lgcox@usgs.gov","contributorId":3310,"corporation":false,"usgs":true,"family":"Cox","given":"Larry","email":"lgcox@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":464553,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70004627,"text":"70004627 - 2012 - Spatiotemporal associations between Pacific herring spawn and surf scoter spring migration: evaluating a \"silver wave\" hypothesis","interactions":[],"lastModifiedDate":"2018-08-21T15:37:42","indexId":"70004627","displayToPublicDate":"2012-06-05T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal associations between Pacific herring spawn and surf scoter spring migration: evaluating a \"silver wave\" hypothesis","docAbstract":"<p><span>Surf scoters&nbsp;</span><i>Melanitta perspicillata</i><span><span>&nbsp;</span>are sea ducks that aggregate at spawning events of Pacific herring<span>&nbsp;</span></span><i>Clupea pallasi</i><span><span>&nbsp;</span>and forage on the eggs, which are deposited in abundance during spring at discrete sites. We evaluated whether migrating scoters followed a ‘silver wave’ of resource availability, analogous to the ‘green wave’ of high-quality foraging conditions that herbivorous waterfowl follow during spring migration. We confirmed that herring spawning activity began later in the year at higher latitudes, creating a northward-progressing wave of short-term localized food availability. Using satellite telemetry and aerial surveys, we documented the chronology of scoter spring migration and the use of stopover locations in relation to herring spawn timing and locations. We found that the migration chronology paralleled the northward progression of herring spawning events. Although there was considerable variability in the timing of both scoter migration and the initiation of herring spawning, the processes were related beyond a coincidental northward progression. During migration, 60% of the tracked scoters visited at least 1 spawn site, and those that used spawn sites were located on spawn sites for approximately one-third of their migration locations. Surf scoters showed close spatiotemporal associations with herring spawning events, confirming that the presence of herring spawn was a factor determining habitat use for many individuals. Surf scoters showed close spatiotemporal associations with herring spawning events, confirming that the presence of herring spawn was a factor determining habitat use for many individuals, a conclusion that is consistent with previous studies which used physiologically based metrics to evaluate the importance of herring spawn.</span></p>","language":"English","publisher":"Inter-Research","doi":"10.3354/meps09692","usgsCitation":"Lok, E.K., Esler, D., Takekawa, J.Y., De La Cruz, S.E., Boyd, W.S., Nysewander, D.R., Evenson, J.R., and Ward, D.H., 2012, Spatiotemporal associations between Pacific herring spawn and surf scoter spring migration: evaluating a \"silver wave\" hypothesis: Marine Ecology Progress Series, v. 457, p. 139-150, https://doi.org/10.3354/meps09692.","productDescription":"12 p.","startPage":"139","endPage":"150","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":474483,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps09692","text":"Publisher Index Page"},{"id":438812,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LUFGEF","text":"USGS data release","linkHelpText":"Tracking Data for Surf Scoter (Melanitta perspicillata)"},{"id":257195,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":265992,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/meps09692"}],"country":"United States","volume":"457","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b94c9e4b08c986b31ac4a","contributors":{"authors":[{"text":"Lok, Erica K.","contributorId":47183,"corporation":false,"usgs":false,"family":"Lok","given":"Erica","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":350882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esler, Daniel 0000-0001-5501-4555 desler@usgs.gov","orcid":"https://orcid.org/0000-0001-5501-4555","contributorId":5465,"corporation":false,"usgs":true,"family":"Esler","given":"Daniel","email":"desler@usgs.gov","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":350881,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":350885,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"De La Cruz, Susan E.W. 0000-0001-6315-0864 sdelacruz@usgs.gov","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":3248,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"sdelacruz@usgs.gov","middleInitial":"E.W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":350886,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boyd, W. Sean","contributorId":199405,"corporation":false,"usgs":false,"family":"Boyd","given":"W.","email":"","middleInitial":"Sean","affiliations":[{"id":35539,"text":"Science and Technology Branch, Environment and Climate Change Canada, Delta, BC, Canada","active":true,"usgs":false}],"preferred":false,"id":350884,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nysewander, David R.","contributorId":23036,"corporation":false,"usgs":true,"family":"Nysewander","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":350887,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Evenson, Joseph R.","contributorId":62481,"corporation":false,"usgs":true,"family":"Evenson","given":"Joseph","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":350888,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":350883,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70038452,"text":"ofr20121066 - 2012 - Strategic directions for U.S. Geological Survey water science, 2012-2022 - Observing, understanding, predicting, and delivering water science to the Nation","interactions":[],"lastModifiedDate":"2017-03-29T13:22:13","indexId":"ofr20121066","displayToPublicDate":"2012-06-04T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1066","title":"Strategic directions for U.S. Geological Survey water science, 2012-2022 - Observing, understanding, predicting, and delivering water science to the Nation","docAbstract":"<h1>Executive Summary</h1>\n<p>This report expands the Water Science Strategy that was begun in the USGS Science Strategy, &ldquo;Facing Tomorrow&rsquo;s Challenges&mdash;U.S. Geological Survey Science in the Decade 2007&ndash;2017&rdquo; (U.S. Geological Survey, 2007). The report looks at the relevant issues facing society and develops a strategy built around observing, understanding, predicting, and delivering water science for the next 5 to 10 years by building new capabilities, tools, and delivery systems to meet the Nation&rsquo;s water-resource needs. This report begins by presenting the vision of water science for the USGS and the societal issues that are influenced by, and in turn influence, the water resources of our Nation. The essence of the Water Strategic Science Plan is built on the concept of &ldquo;water availability,&rdquo; defined&nbsp;<i>as spatial and temporal distribution of water quantity and quality, as related to human and ecosystem needs, as affected by human and natural influences</i>. The report also describes the core capabilities of the USGS in water science&mdash;the strengths, partnerships, and science integrity that the USGS has built over its 130-year history.</p>\n<p>Nine priority actions are presented in the report, which combine and elevate the numerous specific strategic actions listed throughout the report. Priority actions were developed as a means of providing the audience of this report with a list for focused attention, even if resources and time limit the ability of managers to address all of the strategic actions in the report. Priority actions focus on the following:</p>\n<ul>\n<li><span>Improve integrated science planning for water.&nbsp;</span></li>\n<li><span>Expand and enhance water-resource monitoring networks.</span></li>\n<li><span>Characterize the water cycle through development of state-of-the-art 3-D/4-D hydrogeologic framework models at multiple scales.&nbsp;</span></li>\n<li><span>Clarify the linkage between human water use (engineered hydrology) and the water cycle (natural hydrology).</span></li>\n<li><span class=\"indent0\">Advance ecological flow science.</span><span>&nbsp;</span></li>\n<li><span class=\"indent0\">Provide flood-inundation science and information.</span><span>&nbsp;</span></li>\n<li><span class=\"indent0\">Develop rapid deployment teams for water-related emergencies.</span><span>&nbsp;</span></li>\n<li><span class=\"indent0\">Conduct integrated watershed assessment, research, and modeling.</span><span>&nbsp;</span></li>\n<li><span>Deliver water data and analyses to the Nation.</span></li>\n</ul>\n<p>The body of the report is presented as a hierarchal set of 5 goals, 14 objectives, and 27 strategic actions that the USGS should undertake to advance water science through year 2022.&nbsp;<br />The goals deal with:</p>\n<ol>\n<li><span>Providing society the information it needs regarding the amount and quality of water in all components of the water cycle at high temporal and spatial resolution, nationwide;&nbsp;</span></li>\n<li><span>Advancing our understanding of processes that determine water availability;&nbsp;</span></li>\n<li><span>Predicting changes in the quantity and quality of water resources in response to changing climate, population, land use, and management scenarios;</span></li>\n<li><span>Anticipating and responding to water-related emergencies and conflicts; and&nbsp;</span></li>\n<li><span>Delivering timely hydrologic data, analyses, and decision-support tools seamlessly across the Nation to support water-resource decisions.</span></li>\n</ol>\n<p>Scientific information produced on water resources would be without value if it were not communicated to society in a fashion that can inform decisions and actions. Therefore, the chapter following the goals describes how the USGS should inform, involve, and educate society about the science it produces. This includes discussions on local outreach and the use of social media for effective communication.</p>\n<p>This report concludes with a chapter devoted to the crosscutting science issues of the Water Mission Area with the other USGS Mission Areas: Climate and Land Use Change, Core Science Systems, Ecosystems, Energy and Minerals, Environmental Health Science, and Natural Hazards. Not one of these Mission Areas stands alone&mdash;all must work together and integrate their actions to fulfill the USGS science mission for the future. This final chapter identifies the important linkages that must be realized and maintained for this integration to occur.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121066","usgsCitation":"Evenson, E.J., Orndorff, R.C., Blome, C.D., Böhlke, J., Hershberger, P., Langenheim, V., McCabe, G., Morlock, S.E., Reeves, H.W., Verdin, J.P., Weyers, H., and Wood, T.M., 2012, Strategic directions for U.S. Geological Survey water science, 2012-2022 - Observing, understanding, predicting, and delivering water science to the Nation: U.S. Geological Survey Open-File Report 2012-1066, viii, 42 p., https://doi.org/10.3133/ofr20121066.","productDescription":"viii, 42 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":257136,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2012_1066.gif"},{"id":338629,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1066/of2012-1066.pdf"},{"id":257126,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1066/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b98a3e4b08c986b31c0e3","contributors":{"authors":[{"text":"Evenson, Eric J. eevenson@usgs.gov","contributorId":4072,"corporation":false,"usgs":true,"family":"Evenson","given":"Eric","email":"eevenson@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":464183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orndorff, Randall C. 0000-0002-8956-5803 rorndorf@usgs.gov","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":2739,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","email":"rorndorf@usgs.gov","middleInitial":"C.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":464181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blome, Charles D. 0000-0002-3449-9378 cblome@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-9378","contributorId":1246,"corporation":false,"usgs":true,"family":"Blome","given":"Charles","email":"cblome@usgs.gov","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":464175,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Böhlke, John Karl 0000-0001-5693-6455","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":22843,"corporation":false,"usgs":true,"family":"Böhlke","given":"John Karl","affiliations":[],"preferred":false,"id":464184,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hershberger, Paul K. phershberger@usgs.gov","contributorId":1945,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul K.","email":"phershberger@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":464179,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":1526,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":464178,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":1453,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory J.","email":"gmccabe@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":464176,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morlock, Scott E. smorlock@usgs.gov","contributorId":3212,"corporation":false,"usgs":true,"family":"Morlock","given":"Scott","email":"smorlock@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":464182,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Reeves, Howard W. 0000-0001-8057-2081 hwreeves@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-2081","contributorId":2307,"corporation":false,"usgs":true,"family":"Reeves","given":"Howard","email":"hwreeves@usgs.gov","middleInitial":"W.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464180,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":464173,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Weyers, Holly S. hsweyers@usgs.gov","contributorId":1457,"corporation":false,"usgs":true,"family":"Weyers","given":"Holly S.","email":"hsweyers@usgs.gov","affiliations":[],"preferred":true,"id":464177,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wood, Tamara M. 0000-0001-6057-8080 tmwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6057-8080","contributorId":1164,"corporation":false,"usgs":true,"family":"Wood","given":"Tamara","email":"tmwood@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":464174,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70005873,"text":"70005873 - 2012 - Gulf of Mexico Gas Hydrate Joint Industry Project Leg II logging-while-drilling data acquisition and analysis","interactions":[],"lastModifiedDate":"2021-08-24T19:33:54.923296","indexId":"70005873","displayToPublicDate":"2012-06-04T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Gulf of Mexico Gas Hydrate Joint Industry Project Leg II logging-while-drilling data acquisition and analysis","docAbstract":"<p><span>One of the objectives of the Gulf of Mexico Gas Hydrate Joint Industry Project Leg II (GOM JIP Leg II) was the collection of a comprehensive suite of logging-while-drilling (LWD) data within gas-hydrate-bearing sand reservoirs in order to make accurate estimates of the concentration of gas hydrates under various geologic conditions and to understand the geologic controls on the occurrence of gas hydrate at each of the sites drilled during this expedition. The LWD sensors just above the drill bit provided important information on the nature of the sediments and the occurrence of gas hydrate. There has been significant advancements in the use of downhole well-logging tools to acquire detailed information on the occurrence of gas hydrate in nature: From using electrical resistivity and acoustic logs to identify gas hydrate occurrences in wells to where wireline and advanced logging-while-drilling tools are routinely used to examine the petrophysical nature of gas hydrate reservoirs and the distribution and concentration of gas hydrates within various complex reservoir systems. Recent integrated sediment coring and well-log studies have confirmed that electrical resistivity and acoustic velocity data can yield accurate gas hydrate saturations in sediment grain supported (isotropic) systems such as sand reservoirs, but more advanced log analysis models are required to characterize gas hydrate in fractured (anisotropic) reservoir systems. In support of the GOM JIP Leg II effort, well-log data montages have been compiled and presented in this report which includes downhole logs obtained from all seven wells drilled during this expedition with a focus on identifying and characterizing the potential gas-hydrate-bearing sedimentary section in each of the wells. Also presented and reviewed in this report are the gas-hydrate saturation and sediment porosity logs for each of the wells as calculated from available downhole well logs.</span></p>","largerWorkTitle":"Marine and Petroleum Geology","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.marpetgeo.2011.08.003","usgsCitation":"Collett, T.S., Lee, M.W., Zyrianova, M., Mrozewski, S.A., Guerin, G., Cook, A.E., and Goldberg, D.S., 2012, Gulf of Mexico Gas Hydrate Joint Industry Project Leg II logging-while-drilling data acquisition and analysis: Marine and Petroleum Geology, v. 34, no. 1, p. 41-61, https://doi.org/10.1016/j.marpetgeo.2011.08.003.","productDescription":"21 p.","startPage":"41","endPage":"61","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":257165,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf Of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -95.592041015625,\n              26.696545111585152\n            ],\n            [\n              -89.53857421875,\n              26.696545111585152\n            ],\n            [\n              -89.53857421875,\n              30.50548389892728\n            ],\n            [\n              -95.592041015625,\n              30.50548389892728\n            ],\n            [\n              -95.592041015625,\n              26.696545111585152\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"34","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2e5ae4b0c8380cd5c49e","contributors":{"authors":[{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":353428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Myung W. mlee@usgs.gov","contributorId":779,"corporation":false,"usgs":true,"family":"Lee","given":"Myung","email":"mlee@usgs.gov","middleInitial":"W.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":353427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zyrianova, Margarita V. 0000-0002-3669-1320","orcid":"https://orcid.org/0000-0002-3669-1320","contributorId":30665,"corporation":false,"usgs":true,"family":"Zyrianova","given":"Margarita V.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":353430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mrozewski, Stefan A.","contributorId":75000,"corporation":false,"usgs":true,"family":"Mrozewski","given":"Stefan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":353432,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guerin, Gilles","contributorId":77783,"corporation":false,"usgs":true,"family":"Guerin","given":"Gilles","email":"","affiliations":[],"preferred":false,"id":353433,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cook, Ann E.","contributorId":18218,"corporation":false,"usgs":true,"family":"Cook","given":"Ann","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":353429,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goldberg, Dave S.","contributorId":42474,"corporation":false,"usgs":true,"family":"Goldberg","given":"Dave","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":353431,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
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