Manganese oxide deposits have long been observed in association with carbonates within the Appalachian Mountains, but their origin has remained enigmatic for well over a century. Ore deposits of Mn oxides from several productive sites located in eastern Tennessee and northern Virginia display morphologies that include botryoidal and branching forms, massive nodules, breccia matrix cements, and fracture fills. The primary ore minerals include hollandite, cryptomelane, and romanèchite. Samples of Mn oxides from multiple localities in these regions were analyzed using electron microscopy, X-ray analysis, Fourier transform infrared spectroscopy, and trace and rare earth element (REE) geochemistry. The samples from eastern Tennessee have biological morphologies, contain residual biopolymers, and exhibit REE signatures that suggest the ore formation was due to supergene enrichment (likely coupled with microbial activity). In contrast, several northern Virginia ores hosted within quartz-sandstone breccias exhibit petrographic relations, mineral morphologies, and REE signatures indicating inorganic precipitation, and a likely hydrothermal origin with supergene overprinting. Nodular accumulations of Mn oxides within weathered alluvial deposits that occur close to breccia-hosted Mn deposits in Virginia show geochemical signatures that are distinct from the breccia matrices and appear to reflect remobilization of earlier-emplaced Mn and concentration within supergene traps. Based on the proximity of all of the productive ore deposits to mapped faults or other zones of deformation, we suggest that the primary source of all of the Mn may have been deep seated, and that Mn oxides with supergene and/or biological characteristics resulted from the local remobilization and concentration of this primary Mn.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B31682.1","usgsCitation":"Carmichael, S.K., Doctor, D.H., Wilson, C.G., Feierstein, J., and McAleer, R., 2017, New insight into the origin of manganese oxide ore deposits in the Appalachian Valley and Ridge of northeastern Tennessee and northern Virginia, USA: GSA Bulletin, v. 129, no. 9-10, p. 1158-1180, https://doi.org/10.1130/B31682.1.","productDescription":"23 p.","startPage":"1158","endPage":"1180","ipdsId":"IP-080760","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":469486,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":346349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee, Virginia","volume":"129","issue":"9-10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-11","publicationStatus":"PW","scienceBaseUri":"59d4a1a4e4b05fe04cc4e0e5","contributors":{"authors":[{"text":"Carmichael, Sarah K. 0000-0002-3144-8225","orcid":"https://orcid.org/0000-0002-3144-8225","contributorId":196874,"corporation":false,"usgs":false,"family":"Carmichael","given":"Sarah","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":711837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"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":711836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Crystal G.","contributorId":196875,"corporation":false,"usgs":false,"family":"Wilson","given":"Crystal","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":711838,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Feierstein, Joshua","contributorId":196876,"corporation":false,"usgs":false,"family":"Feierstein","given":"Joshua","email":"","affiliations":[],"preferred":false,"id":711839,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":5301,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan J.","email":"rmcaleer@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":711840,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192197,"text":"70192197 - 2017 - A method for quantifying cloud immersion in a tropical mountain forest using time-lapse photography","interactions":[],"lastModifiedDate":"2017-10-23T12:15:45","indexId":"70192197","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"A method for quantifying cloud immersion in a tropical mountain forest using time-lapse photography","docAbstract":"Quantifying the frequency, duration, and elevation range of fog or cloud immersion is essential to estimate cloud water deposition in water budgets and to understand the ecohydrology of cloud forests. The goal of this study was to develop a low-cost and high spatial-coverage method to detect occurrence of cloud immersion within a mountain cloud forest by using time-lapse photography. Trail cameras and temperature/relative humidity sensors were deployed at five sites covering the elevation range from the assumed lifting condensation level to the mountain peaks in the Luquillo Mountains of Puerto Rico. Cloud-sensitive image characteristics (contrast, the coefficient of variation and the entropy of pixel luminance, and image colorfulness) were used with a k-means clustering approach to accurately detect cloud-immersed conditions in a time series of images from March 2014 to May 2016. Images provided hydrologically meaningful cloud-immersion information while temperature-relative humidity data were used to refine the image analysis using dew point information and provided temperature gradients along the elevation transect. Validation of the image processing method with human-judgment based classification generally indicated greater than 90% accuracy. Cloud-immersion frequency averaged 80% at sites above 900 m during nighttime hours and 49% during daytime hours, and was consistent with diurnal patterns of cloud immersion measured in a previous study. Results for the 617 m site demonstrated that cloud immersion in the Luquillo Mountains rarely occurs at the previously-reported cloud base elevation of about 600 m (11% during nighttime hours and 5% during daytime hours). The framework presented in this paper will be used to monitor at a low cost and high spatial resolution the long-term variability of cloud-immersion patterns in the Luquillo Mountains, and can be applied to ecohydrology research at other cloud-forest sites or in coastal ecosystems with advective sea fog.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2017.04.010","usgsCitation":"Bassiouni, M., Scholl, M.A., Torres-Sanchez, A.J., and Murphy, S.F., 2017, A method for quantifying cloud immersion in a tropical mountain forest using time-lapse photography: Agricultural and Forest Meteorology, v. 243, p. 100-112, https://doi.org/10.1016/j.agrformet.2017.04.010.","productDescription":"13 p.","startPage":"100","endPage":"112","ipdsId":"IP-086096","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469543,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.agrformet.2017.04.010","text":"Publisher Index Page"},{"id":438199,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7HQ3X52","text":"USGS data release","linkHelpText":"Supplementary Data for Method for Quantifying Cloud Immersion in a Tropical Mountain Forest Using Time-Lapse Photography"},{"id":347111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"El Yunque National Forest, Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -65.86647033691406,\n 18.242720598398734\n ],\n [\n -65.70270538330078,\n 18.242720598398734\n ],\n [\n -65.70270538330078,\n 18.34866001012719\n ],\n [\n -65.86647033691406,\n 18.34866001012719\n ],\n [\n -65.86647033691406,\n 18.242720598398734\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"243","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59eeffa3e4b0220bbd988f65","contributors":{"authors":[{"text":"Bassiouni, Maoya 0000-0001-5795-9894","orcid":"https://orcid.org/0000-0001-5795-9894","contributorId":197780,"corporation":false,"usgs":true,"family":"Bassiouni","given":"Maoya","affiliations":[],"preferred":false,"id":714696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":714695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Torres-Sanchez, Angel J. 0000-0002-5595-021X ajtorres@usgs.gov","orcid":"https://orcid.org/0000-0002-5595-021X","contributorId":5623,"corporation":false,"usgs":true,"family":"Torres-Sanchez","given":"Angel","email":"ajtorres@usgs.gov","middleInitial":"J.","affiliations":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714697,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":714698,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192569,"text":"70192569 - 2017 - Groundwater declines are linked to changes in Great Plains stream fish assemblages","interactions":[],"lastModifiedDate":"2017-10-26T13:09:59","indexId":"70192569","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater declines are linked to changes in Great Plains stream fish assemblages","docAbstract":"Groundwater pumping for agriculture is a major driver causing declines of global freshwater ecosystems, yet the ecological consequences for stream fish assemblages are rarely quantified. We combined retrospective (1950–2010) and prospective (2011–2060) modeling approaches within a multiscale framework to predict change in Great Plains stream fish assemblages associated with groundwater pumping from the United States High Plains Aquifer. We modeled the relationship between the length of stream receiving water from the High Plains Aquifer and the occurrence of fishes characteristic of small and large streams in the western Great Plains at a regional scale and for six subwatersheds nested within the region. Water development at the regional scale was associated with construction of 154 barriers that fragment stream habitats, increased depth to groundwater and loss of 558 km of stream, and transformation of fish assemblage structure from dominance by large-stream to small-stream fishes. Scaling down to subwatersheds revealed consistent transformations in fish assemblage structure among western subwatersheds with increasing depths to groundwater. Although transformations occurred in the absence of barriers, barriers along mainstem rivers isolate depauperate western fish assemblages from relatively intact eastern fish assemblages. Projections to 2060 indicate loss of an additional 286 km of stream across the region, as well as continued replacement of large-stream fishes by small-stream fishes where groundwater pumping has increased depth to groundwater. Our work illustrates the shrinking of streams and homogenization of Great Plains stream fish assemblages related to groundwater pumping, and we predict similar transformations worldwide where local and regional aquifer depletions occur.
","language":"English","publisher":"National Academy of Sciences of the United States of America","doi":"10.1073/pnas.1618936114","usgsCitation":"Prekins, J.S., Gido, K.B., Falke, J.A., Fausch, K., Crockett, H., Johnson, E.R., and Sanderson, J., 2017, Groundwater declines are linked to changes in Great Plains stream fish assemblages: Proceedings of the National Academy of Sciences of the United States of America, v. 114, no. 28, p. 7373-7378, https://doi.org/10.1073/pnas.1618936114.","productDescription":"6 p.","startPage":"7373","endPage":"7378","ipdsId":"IP-081390","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469479,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1618936114","text":"External Repository"},{"id":347468,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":" Colorado, Kansas, Nebraska","otherGeospatial":"Great Plains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.3701171875,\n 39.13006024213511\n ],\n [\n -99.47021484375,\n 39.13006024213511\n ],\n [\n -99.47021484375,\n 41.19518982948959\n ],\n [\n -104.3701171875,\n 41.19518982948959\n ],\n [\n -104.3701171875,\n 39.13006024213511\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"114","issue":"28","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-26","publicationStatus":"PW","scienceBaseUri":"5a07e873e4b09af898c8cb72","contributors":{"authors":[{"text":"Prekins, Joshuah S.","contributorId":198486,"corporation":false,"usgs":false,"family":"Prekins","given":"Joshuah","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":716235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gido, Keith B.","contributorId":198487,"corporation":false,"usgs":false,"family":"Gido","given":"Keith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":716236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fausch, Kurt D. 0000-0001-5825-7560","orcid":"https://orcid.org/0000-0001-5825-7560","contributorId":198488,"corporation":false,"usgs":false,"family":"Fausch","given":"Kurt D.","affiliations":[],"preferred":false,"id":716237,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crockett, Harry","contributorId":198489,"corporation":false,"usgs":false,"family":"Crockett","given":"Harry","affiliations":[],"preferred":false,"id":716238,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Eric R.","contributorId":198490,"corporation":false,"usgs":false,"family":"Johnson","given":"Eric","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":716239,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sanderson, John","contributorId":172965,"corporation":false,"usgs":false,"family":"Sanderson","given":"John","affiliations":[],"preferred":false,"id":716240,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70191135,"text":"ofr20171123 - 2017 - An evaluation of the efficacy of using environmental DNA (eDNA) to detect giant gartersnakes (Thamnophis gigas)","interactions":[],"lastModifiedDate":"2017-10-02T10:20:32","indexId":"ofr20171123","displayToPublicDate":"2017-09-28T00:00:00","publicationYear":"2017","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":"2017-1123","displayTitle":"An evaluation of the efficacy of using environmental DNA (eDNA) to detect giant gartersnakes (Thamnophis gigas)","title":"An evaluation of the efficacy of using environmental DNA (eDNA) to detect giant gartersnakes (Thamnophis gigas)","docAbstract":"Detecting populations of rare or cryptic species is essential for their conservation. For species like giant gartersnakes (Thamnophis gigas), conventional survey methods can be expensive and inefficient. These sampling difficulties might be overcome by modern techniques that detect deoxyribonucleic acid (DNA) shed by organisms into the environment (eDNA). We evaluated the efficacy of detecting giant gartersnake eDNA in water samples from the laboratory and at locations with known giant gartersnake populations in the Sacramento Valley of California, and failed to detect giant gartersnake DNA in most laboratory and all field samples. Aspects of giant gartersnake biology—such as highly keratinized skin and spending extensive time in the terrestrial environment, as well as hot, sunny, and turbid conditions in wetlands and canals of the Sacramento Valley—likely contributed to low detection probabilities. Although detection of eDNA shows promise under many conditions, further development is needed before sampling for eDNA is a viable option for detecting giant gartersnake populations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171123","collaboration":"Prepared in cooperation with the Central Valley Project—Bureau of Reclamation and U.S. Fish and Wildlife Service","usgsCitation":"Halstead, B.J., Wood, D.A, Bowen, Lizabeth, Waters, Shannon, Vandergast, A.G., Ersan, J.S.M., Skalos, S.M., and Casazza, M.L., 2017, An evaluation of the efficacy of using environmental DNA (eDNA) to detect giant gartersnakes (Thamnophis gigas): U.S. Geological Survey Open-File Report 2017-1123, 41 p., https://doi.org/10.3133/ofr20171123.","productDescription":"vi, 41 p.","numberOfPages":"52","onlineOnly":"Y","ipdsId":"IP-086792","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":346165,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1123/ofr20171123.pdf","text":"Report","size":"4.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1123"},{"id":346180,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1123/coverthb2.jpg"}],"country":"United States","state":"California","otherGeospatial":"Colusa National Wildlife Refuge, Natomas Basin","contact":"Director, Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
Increasing reliance on non-renewable mineral resources reinforces the need for identifying potential supply constraints before they occur. The US National Science and Technology Council recently released a report that outlines a methodology for screening potentially critical minerals based on three indicators: supply risk (R), production growth (G), and market dynamics (M). This early-warning screening was initially applied to 78 minerals across the years 1996 to 2013 and identified a subset of minerals as “potentially critical” based on the geometric average of these indicators—designated as criticality potential (C). In this study, the screening methodology has been updated to include data for 2014, as well as to incorporate revisions and modifications to the data, where applicable. Overall, C declined in 2014 for the majority of minerals examined largely due to decreases in production concentration and price volatility. However, the results vary considerably across minerals, with some minerals, such as gallium, recording increases for all three indicators. In addition to assessing magnitudinal changes, this analysis also examines the significance of the change relative to historical variation for each mineral. For example, although mined nickel’s R declined modestly in 2014 in comparison to that of other minerals, it was by far the largest annual change recorded for mined nickel across all years examined and is attributable to Indonesia’s ban on the export of unprocessed minerals. Based on the 2014 results, 20 minerals with the highest C values have been identified for further study including the rare earths, gallium, germanium, rhodium, tantalum, and tungsten.
","language":"English","publisher":"Springer","doi":"10.1007/s13563-017-0119-6","usgsCitation":"McCullough, E.A., and Nassar, N., 2017, Assessment of critical minerals: Updated application of an early-warning screening methodology: Mineral Economics, v. 30, no. 3, p. 257-272, https://doi.org/10.1007/s13563-017-0119-6.","productDescription":"16 p.","startPage":"257","endPage":"272","ipdsId":"IP-090603","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":469507,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1007/s13563-017-0119-6","text":"External Repository"},{"id":345990,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-19","publicationStatus":"PW","scienceBaseUri":"59c4cf95e4b017cf313d3cab","contributors":{"authors":[{"text":"McCullough, Erin A. 0000-0002-9072-7021 emccullough@usgs.gov","orcid":"https://orcid.org/0000-0002-9072-7021","contributorId":196629,"corporation":false,"usgs":true,"family":"McCullough","given":"Erin","email":"emccullough@usgs.gov","middleInitial":"A.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":710953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nassar, Nedal 0000-0001-8758-9732 nnassar@usgs.gov","orcid":"https://orcid.org/0000-0001-8758-9732","contributorId":196630,"corporation":false,"usgs":true,"family":"Nassar","given":"Nedal","email":"nnassar@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":710954,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70190999,"text":"70190999 - 2017 - Facultative parasitism by the bivalve Kurtiella pedroana in the sand crab Emerita analoga","interactions":[],"lastModifiedDate":"2018-01-05T14:29:48","indexId":"70190999","displayToPublicDate":"2017-09-20T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2414,"text":"Journal of Parasitology","active":true,"publicationSubtype":{"id":10}},"title":"Facultative parasitism by the bivalve Kurtiella pedroana in the sand crab Emerita analoga","docAbstract":"It is rare that an organism capable of independent or commensalistic existence can also become endoparasitic on a host. In this study, we documented a potential step toward parasitism in the commensal clam Kurtiella pedroana (Bivalvia: Galeommatoidea). Galeommatoideans are known commensals of various invertebrates, including crustaceans. Emerita analoga (Decapoda: Hippidae) is an abundant intertidal decapod inhabiting sandy beaches of the Pacific coast of North and South America. Crabs collected from Monterey Bay, California, were measured and examined externally and internally for associated molluscs. Out of the 520 crabs, 37 large female individuals harbored 49 bivalves (prevalence of 7.11% and mean intensity of 1.3). Forty-one ectocommensal clams were either inside the crab's branchial chambers or on their lateroventral surfaces, and were attached by byssal threads. Our key finding was eight clams that lacked byssal threads and were living in the hemocoel. These internal clams were significantly smaller than the ectocommensals. Because these internal clams lacked access to their normal food, we hypothesize they might have fed on their host's hemolymph as would a parasite. This clam species likely can't reproduce inside its host, implying that endoparasitism is a dead-end state for K. pedroana. Facultative parasitism in a free-living or an ectocommensal is uncommon and suggests a pathway to parasitism.
","language":"English","publisher":"American Society of Parasitologists","doi":"10.1645/17-28","usgsCitation":"Bhaduri, R., Valentich-Scott, P., Hilgers, M., Singh, R., Hickman, M., and Lafferty, K.D., 2017, Facultative parasitism by the bivalve Kurtiella pedroana in the sand crab Emerita analoga: Journal of Parasitology, v. 103, no. 6, p. 646-651, https://doi.org/10.1645/17-28.","productDescription":"6 p.","startPage":"646","endPage":"651","ipdsId":"IP-082089","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":345928,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"103","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59c37e37e4b091459a6316e9","contributors":{"authors":[{"text":"Bhaduri, Ritin","contributorId":196592,"corporation":false,"usgs":false,"family":"Bhaduri","given":"Ritin","email":"","affiliations":[],"preferred":false,"id":710871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valentich-Scott, Paul","contributorId":196593,"corporation":false,"usgs":false,"family":"Valentich-Scott","given":"Paul","email":"","affiliations":[],"preferred":false,"id":710872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hilgers, Mark","contributorId":196594,"corporation":false,"usgs":false,"family":"Hilgers","given":"Mark","email":"","affiliations":[],"preferred":false,"id":710873,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Singh, Rajvir","contributorId":196595,"corporation":false,"usgs":false,"family":"Singh","given":"Rajvir","email":"","affiliations":[],"preferred":false,"id":710874,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hickman, Mikaila","contributorId":196596,"corporation":false,"usgs":false,"family":"Hickman","given":"Mikaila","email":"","affiliations":[],"preferred":false,"id":710875,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":710870,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70190838,"text":"70190838 - 2017 - A rare and cryptic endemic of the Central Rocky Mountains, U.S.A: The distribution of the Arapahoe snowfly, Arsapnia arapahoe (Nelson & Kondratieff, 1988) (Plecoptera: Capniidae)","interactions":[],"lastModifiedDate":"2020-10-23T11:58:59.600213","indexId":"70190838","displayToPublicDate":"2017-09-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1972,"text":"Illiesia","onlineIssn":"1854-0392","printIssn":"1855-5810","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A rare and cryptic endemic of the Central Rocky Mountains, U.S.A: The distribution of the Arapahoe snowfly, Arsapnia arapahoe (Nelson & Kondratieff, 1988) (Plecoptera: Capniidae)","title":"A rare and cryptic endemic of the Central Rocky Mountains, U.S.A: The distribution of the Arapahoe snowfly, Arsapnia arapahoe (Nelson & Kondratieff, 1988) (Plecoptera: Capniidae)","docAbstract":"The Arapahoe snowfly, Arsapnia arapahoe (Nelson & Kondratieff, 1988) (Plecoptera: Capniidae) is a candidate species warranted for listing under the Endangered Species Act. Prior to this study, A. arapahoe was known from only two tributaries of the Cache la Poudre River in Larimer County, Colorado: Young Gulch and Elkhorn Creek. The objectives of this study were to determine the distribution of this endemic stonefly, and to identify sympatric species as possible surrogate indicators of its occurrence. Eighty-four streams were sampled within the expected geographical range and emergence time-period from 2013 to 2017. Adults of A. arapahoe were discovered in 19 first-, second-, and fourth-order streams beyond the original type localities tributary to the Cache la Poudre River. The new and recently recorded localities were discovered in the Big Thompson River, St. Vrain River, Boulder Creek, and Upper South Platte River Watersheds. Two species, A. decepta (Banks, 1897) and Capnia gracilaria Claassen, 1924, always co-occurred with A. arapahoe, suggesting this species pair may serve as a surrogate indicator of suitable stream habitat for A. arapahoe. Suggestions for future investigation into the distribution, life-history, and habitat of A. arapahoe are presented to aid the conservation of this rare and endemic Colorado stonefly.
","language":"English","publisher":"University of Illinois","usgsCitation":"Fairchild, M.P., Belcher, T.P., Zuellig, R.E., Vieira, N.M., and Kondratieff, B.C., 2017, A rare and cryptic endemic of the Central Rocky Mountains, U.S.A: The distribution of the Arapahoe snowfly, Arsapnia arapahoe (Nelson & Kondratieff, 1988) (Plecoptera: Capniidae): Illiesia, v. 13, no. 4, p. 50-58.","productDescription":"9 p.","startPage":"50","endPage":"58","ipdsId":"IP-086310","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":345826,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":345804,"type":{"id":15,"text":"Index Page"},"url":"https://illiesia.speciesfile.org/html/2017.html"}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.8,\n 37.8\n ],\n [\n -104.5,\n 37.8\n ],\n [\n -104.5,\n 41\n ],\n [\n -105.8,\n 41\n ],\n [\n -105.8,\n 37.8\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59bf8996e4b091459a5e0875","contributors":{"authors":[{"text":"Fairchild, Matthew P.","contributorId":196533,"corporation":false,"usgs":false,"family":"Fairchild","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":24595,"text":"USDA Forest Service, Fort Collins CO","active":true,"usgs":false}],"preferred":false,"id":710669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belcher, Thomas P. III","contributorId":196532,"corporation":false,"usgs":false,"family":"Belcher","given":"Thomas","suffix":"III","email":"","middleInitial":"P.","affiliations":[{"id":17860,"text":"Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":710670,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zuellig, Robert E. 0000-0002-4784-2905 rzuellig@usgs.gov","orcid":"https://orcid.org/0000-0002-4784-2905","contributorId":1620,"corporation":false,"usgs":true,"family":"Zuellig","given":"Robert","email":"rzuellig@usgs.gov","middleInitial":"E.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710671,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vieira, Nicole M. K.","contributorId":104172,"corporation":false,"usgs":false,"family":"Vieira","given":"Nicole","email":"","middleInitial":"M. K.","affiliations":[{"id":17860,"text":"Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":710672,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kondratieff, Boris C.","contributorId":24868,"corporation":false,"usgs":false,"family":"Kondratieff","given":"Boris","email":"","middleInitial":"C.","affiliations":[{"id":17860,"text":"Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":710673,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70190713,"text":"70190713 - 2017 - Atoll groundwater movement and its response to climatic and sea-level fluctuations","interactions":[],"lastModifiedDate":"2021-01-07T19:07:32.490613","indexId":"70190713","displayToPublicDate":"2017-09-13T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Atoll groundwater movement and its response to climatic and sea-level fluctuations","docAbstract":"Groundwater resources of low-lying atoll islands are threatened due to short-term and long-term changes in rainfall, wave climate, and sea level. A better understanding of how these forcings affect the limited groundwater resources was explored on Roi-Namur in the Republic of the Marshall Islands. As part of a 16-month study, a rarely recorded island-overwash event occurred and the island’s aquifer’s response was measured. The findings suggest that small-scale overwash events cause an increase in salinity of the freshwater lens that returns to pre-overwash conditions within one month. The overwash event is addressed in the context of climate-related local sea-level change, which suggests that overwash events and associated degradations in freshwater resources are likely to increase in severity in the future due to projected rises in sea level. Other forcings, such as severe rainfall events, were shown to have caused a sudden freshening of the aquifer, with salinity levels retuning to pre-rainfall levels within three months. Tidal forcing of the freshwater lens was observed in electrical resistivity profiles, high-resolution conductivity, groundwater-level well measurements and through submarine groundwater discharge calculations. Depth-specific geochemical pore water measurements further assessed and confirmed the distinct boundaries between fresh and saline water masses in the aquifer. The identification of the freshwater lens’ saline boundaries is essential for a quantitative evaluation of the aquifers freshwater resources and help understand how these resources may be impacted by climate change and anthropogenic activities.","language":"English","publisher":"MDPI","doi":"10.3390/w9090650","usgsCitation":"Oberle, F.K., Swarzenski, P.W., and Storlazzi, C.D., 2017, Atoll groundwater movement and its response to climatic and sea-level fluctuations: Water, v. 9, no. 9, e650; 18 p., https://doi.org/10.3390/w9090650.","productDescription":"e650; 18 p.","ipdsId":"IP-088831","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469527,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w9090650","text":"Publisher Index Page"},{"id":345687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Marshall Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 167.23388671875,\n 5.101887070062334\n ],\n [\n 172.935791015625,\n 5.101887070062334\n ],\n [\n 172.935791015625,\n 9.199715262283302\n ],\n [\n 167.23388671875,\n 9.199715262283302\n ],\n [\n 167.23388671875,\n 5.101887070062334\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-30","publicationStatus":"PW","scienceBaseUri":"59ba43b8e4b091459a5629ad","contributors":{"authors":[{"text":"Oberle, Ferdinand K. J. 0000-0001-8871-3619 foberle@usgs.gov","orcid":"https://orcid.org/0000-0001-8871-3619","contributorId":195642,"corporation":false,"usgs":true,"family":"Oberle","given":"Ferdinand","email":"foberle@usgs.gov","middleInitial":"K. J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":710254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":189823,"corporation":false,"usgs":false,"family":"Swarzenski","given":"Peter","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":710256,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":710255,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70190682,"text":"70190682 - 2017 - Contact and contagion: Probability of transmission given contact varies with demographic state in bighorn sheep","interactions":[],"lastModifiedDate":"2017-09-12T11:56:22","indexId":"70190682","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Contact and contagion: Probability of transmission given contact varies with demographic state in bighorn sheep","docAbstract":"Crayfish are ecologically important in freshwater systems worldwide and are imperiled in North America and globally. We sought to examine landscape- to local-scale environmental variables related to occupancy and detection probability of a suite of stream-dwelling crayfish species. We used a quantitative kickseine method to sample crayfish presence at 102 perennial stream sites with eight surveys per site. We modeled occupancy (psi) and detection probability (P) and local- and landscape-scale environmental covariates. We developed a set of a priori candidate models for each species and ranked models using (Q)AICc. Detection probabilities and occupancy estimates differed among crayfish species with Orconectes eupunctus, O. marchandi, and Cambarus hubbsi being relatively rare (psi < 0.20) with moderate (0.46–0.60) to high (0.81) detection probability and O. punctimanus and O. ozarkae being relatively common (psi > 0.60) with high detection probability (0.81). Detection probability was often related to local habitat variables current velocity, depth, or substrate size. Important environmental variables for crayfish occupancy were species dependent but were mainly landscape variables such as stream order, geology, slope, topography, and land use. Landscape variables strongly influenced crayfish occupancy and should be considered in future studies and conservation plans.
","language":"English","publisher":"Springer","doi":"10.1007/s10750-017-3215-2","usgsCitation":"Magoulick, D.D., DiStefano, R.J., Imhoff, E.M., Nolen, M.S., and Wagner, B.K., 2017, Landscape- and local-scale habitat influences on occupancy and detection probability of stream-dwelling crayfish: Implications for conservation: Hydrobiologia, v. 799, no. 1, p. 217-231, https://doi.org/10.1007/s10750-017-3215-2.","productDescription":"15 p.","startPage":"217","endPage":"231","ipdsId":"IP-080483","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri","otherGeospatial":"Black River","volume":"799","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-29","publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3c6","contributors":{"authors":[{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":735379,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiStefano, Robert J.","contributorId":204893,"corporation":false,"usgs":false,"family":"DiStefano","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":735380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Imhoff, Emily M.","contributorId":204894,"corporation":false,"usgs":false,"family":"Imhoff","given":"Emily","email":"","middleInitial":"M.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":735381,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nolen, Matthew S.","contributorId":204895,"corporation":false,"usgs":false,"family":"Nolen","given":"Matthew","email":"","middleInitial":"S.","affiliations":[{"id":16695,"text":"Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":735382,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wagner, Brian K.","contributorId":204896,"corporation":false,"usgs":false,"family":"Wagner","given":"Brian","email":"","middleInitial":"K.","affiliations":[{"id":37007,"text":"Arkansas Game and Fish Commission","active":true,"usgs":false}],"preferred":false,"id":735383,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70190580,"text":"70190580 - 2017 - Abundant carbon in the mantle beneath Hawai`i","interactions":[],"lastModifiedDate":"2018-10-25T15:56:45","indexId":"70190580","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Abundant carbon in the mantle beneath Hawai`i","docAbstract":"Estimates of carbon concentrations in Earth’s mantle vary over more than an order of magnitude, hindering our ability to understand mantle structure and mineralogy, partial melting, and the carbon cycle. CO2 concentrations in mantle-derived magmas supplying hotspot ocean island volcanoes yield our most direct constraints on mantle carbon, but are extensively modified by degassing during ascent. Here we show that undegassed magmatic and mantle carbon concentrations may be estimated in a Bayesian framework using diverse geologic information at an ocean island volcano. Our CO2 concentration estimates do not rely upon complex degassing models, geochemical tracer elements, assumed magma supply rates, or rare undegassed rock samples. Rather, we couple volcanic CO2 emission rates with probabilistic magma supply rates, which are obtained indirectly from magma storage and eruption rates. We estimate that the CO2content of mantle-derived magma supplying Hawai‘i’s active volcanoes is 0.97−0.19+0.25 wt%—roughly 40% higher than previously believed—and is supplied from a mantle source region with a carbon concentration of 263−62+81 ppm. Our results suggest that mantle plumes and ocean island basalts are carbon-rich. Our data also shed light on helium isotope abundances, CO2/Nb ratios, and may imply higher CO2 emission rates from ocean island volcanoes.
","language":"English","publisher":"Springer Nature","doi":"10.1038/ngeo3007","usgsCitation":"Anderson, K.R., and Poland, M.P., 2017, Abundant carbon in the mantle beneath Hawai`i: Nature Geoscience, v. 10, p. 704-708, https://doi.org/10.1038/ngeo3007.","productDescription":"5 p.","startPage":"704","endPage":"708","ipdsId":"IP-082423","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":345581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.2530517578125,\n 18.906286495910905\n ],\n [\n -154.7698974609375,\n 18.906286495910905\n ],\n [\n -154.7698974609375,\n 20.287961155077717\n ],\n [\n -156.2530517578125,\n 20.287961155077717\n ],\n [\n -156.2530517578125,\n 18.906286495910905\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-21","publicationStatus":"PW","scienceBaseUri":"59b3ac32e4b08b1644d8f1b8","contributors":{"authors":[{"text":"Anderson, Kyle R. 0000-0001-8041-3996 kranderson@usgs.gov","orcid":"https://orcid.org/0000-0001-8041-3996","contributorId":3522,"corporation":false,"usgs":true,"family":"Anderson","given":"Kyle","email":"kranderson@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":709891,"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":709892,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192054,"text":"70192054 - 2017 - Comparing efficiency of American Fisheries Society standard snorkeling techniques to environmental DNA sampling techniques","interactions":[],"lastModifiedDate":"2017-10-19T16:28:10","indexId":"70192054","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Comparing efficiency of American Fisheries Society standard snorkeling techniques to environmental DNA sampling techniques","docAbstract":"Analysis of environmental DNA (eDNA) is an emerging technique used to detect aquatic species through water sampling and the extraction of biological material for amplification. Our study compared the efficacy of eDNA methodology to American Fisheries Society (AFS) standard snorkeling surveys with regard to detecting the presence of rare fish species. Knowing which method is more efficient at detecting target species will help managers to determine the best way to sample when both traditional sampling methods and eDNA sampling are available. Our study site included three Navajo Nation streams that contained Navajo Nation Genetic Subunit Bluehead Suckers Catostomus discobolus and Zuni Bluehead Suckers C. discobolus yarrowi. We first divided the entire wetted area of streams into consecutive 100-m reaches and then systematically selected 10 reaches/stream for snorkel and eDNA surveys. Surface water samples were taken in 10-m sections within each 100-m reach, while fish presence was noted via snorkeling in each 10-m section. Quantitative PCR was run on each individual water sample in quadruplicate to test for the presence or absence of the target species. With eDNA sampling techniques, we were able to positively detect both species in two out of the three streams. Snorkeling resulted in positive detection of both species in all three streams. In streams where the target species were detected with eDNA sampling, snorkeling detected fish at 11–29 sites/stream, whereas eDNA detected fish at 3–12 sites/stream. Our results suggest that AFS standard snorkeling is more effective than eDNA for detecting target fish species. To improve our eDNA procedures, the amount of water collected and tested should be increased. Additionally, filtering water on-site may improve eDNA techniques for detecting fish. Future research should focus on standardization of eDNA sampling to provide a widely operational sampling tool.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2017.1306005","usgsCitation":"Ulibarri, R.M., Bonar, S.A., Rees, C.B., Amberg, J., Ladell, B., and Jackson, C., 2017, Comparing efficiency of American Fisheries Society standard snorkeling techniques to environmental DNA sampling techniques: North American Journal of Fisheries Management, v. 37, no. 3, p. 644-651, https://doi.org/10.1080/02755947.2017.1306005.","productDescription":"8 p.","startPage":"644","endPage":"651","ipdsId":"IP-085361","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":347014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.55291748046875,\n 35.97467213380802\n ],\n [\n -108.76327514648438,\n 35.97467213380802\n ],\n [\n -108.76327514648438,\n 36.353845104753745\n ],\n [\n -109.55291748046875,\n 36.353845104753745\n ],\n [\n -109.55291748046875,\n 35.97467213380802\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-04","publicationStatus":"PW","scienceBaseUri":"59e9b993e4b05fe04cd65c65","contributors":{"authors":[{"text":"Ulibarri, Roy M.","contributorId":197754,"corporation":false,"usgs":false,"family":"Ulibarri","given":"Roy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rees, Christopher B. crees@usgs.gov","contributorId":5500,"corporation":false,"usgs":true,"family":"Rees","given":"Christopher","email":"crees@usgs.gov","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":714220,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amberg, Jon J. jamberg@usgs.gov","contributorId":797,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon J.","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":714221,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ladell, Bridget","contributorId":197751,"corporation":false,"usgs":false,"family":"Ladell","given":"Bridget","affiliations":[],"preferred":false,"id":714222,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jackson, Craig 0000-0003-4023-0276 cjackson@usgs.gov","orcid":"https://orcid.org/0000-0003-4023-0276","contributorId":192276,"corporation":false,"usgs":true,"family":"Jackson","given":"Craig","email":"cjackson@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":714028,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70190432,"text":"70190432 - 2017 - Lessons from the Tōhoku tsunami: A model for island avifauna conservation prioritization","interactions":[],"lastModifiedDate":"2018-01-08T14:36:12","indexId":"70190432","displayToPublicDate":"2017-08-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Lessons from the Tōhoku tsunami: A model for island avifauna conservation prioritization","docAbstract":"Earthquake-generated tsunamis threaten coastal areas and low-lying islands with sudden flooding. Although human hazards and infrastructure damage have been well documented for tsunamis in recent decades, the effects on wildlife communities rarely have been quantified. We describe a tsunami that hit the world's largest remaining tropical seabird rookery and estimate the effects of sudden flooding on 23 bird species nesting on Pacific islands more than 3,800 km from the epicenter. We used global positioning systems, tide gauge data, and satellite imagery to quantify characteristics of the Tōhoku earthquake-generated tsunami (11 March 2011) and its inundation extent across four Hawaiian Islands. We estimated short-term effects of sudden flooding to bird communities using spatially explicit data from Midway Atoll and Laysan Island, Hawai'i. We describe variation in species vulnerability based on breeding phenology, nesting habitat, and life history traits. The tsunami inundated 21%–100% of each island's area at Midway Atoll and Laysan Island. Procellariformes (albatrosses and petrels) chick and egg losses exceeded 258,500 at Midway Atoll while albatross chick losses at Laysan Island exceeded 21,400. The tsunami struck at night and during the peak of nesting for 14 colonial seabird species. Strongly philopatric Procellariformes were vulnerable to the tsunami. Nonmigratory, endemic, endangered Laysan Teal (Anas laysanensis) were sensitive to ecosystem effects such as habitat changes and carcass-initiated epizootics of avian botulism, and its populations declined approximately 40% on both atolls post-tsunami. Catastrophic flooding of Pacific islands occurs periodically not only from tsunamis, but also from storm surge and rainfall; with sea-level rise, the frequency of sudden flooding events will likely increase. As invasive predators occupy habitat on higher elevation Hawaiian Islands and globally important avian populations are concentrated on low-lying islands, additional conservation strategies may be warranted to increase resilience of island biodiversity encountering tsunamis and rising sea levels.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3092","usgsCitation":"Reynolds, M.H., Berkowitz, P., Klavitter, J., and Courtot, K., 2017, Lessons from the Tōhoku tsunami: A model for island avifauna conservation prioritization: Ecology and Evolution, v. 7, no. 13, p. 5873-5890, https://doi.org/10.1002/ece3.3092.","productDescription":"18 p.","startPage":"5873","endPage":"5890","ipdsId":"IP-079977","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":469575,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3092","text":"Publisher Index Page"},{"id":438232,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F708647F","text":"USGS data release","linkHelpText":"Northwestern Hawaiian Islands: Impacts to Avifauna from the Tohoku Tsunami 2011"},{"id":345381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"13","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-22","publicationStatus":"PW","scienceBaseUri":"59a9203fe4b07e1a023ccd9c","contributors":{"authors":[{"text":"Reynolds, Michelle H. 0000-0001-7253-8158 mreynolds@usgs.gov","orcid":"https://orcid.org/0000-0001-7253-8158","contributorId":3871,"corporation":false,"usgs":true,"family":"Reynolds","given":"Michelle","email":"mreynolds@usgs.gov","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":709125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berkowitz, Paul","contributorId":192592,"corporation":false,"usgs":false,"family":"Berkowitz","given":"Paul","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":709126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klavitter, John","contributorId":196052,"corporation":false,"usgs":false,"family":"Klavitter","given":"John","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":709127,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Courtot, Karen 0000-0002-8849-4054 kcourtot@usgs.gov","orcid":"https://orcid.org/0000-0002-8849-4054","contributorId":140002,"corporation":false,"usgs":true,"family":"Courtot","given":"Karen","email":"kcourtot@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":709128,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70190278,"text":"70190278 - 2017 - Detection of diazotrophy in the acetylene-fermenting anaerobe Pelobacter sp. strain SFB93","interactions":[],"lastModifiedDate":"2017-08-24T09:21:23","indexId":"70190278","displayToPublicDate":"2017-08-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Detection of diazotrophy in the acetylene-fermenting anaerobe Pelobacter sp. strain SFB93","title":"Detection of diazotrophy in the acetylene-fermenting anaerobe Pelobacter sp. strain SFB93","docAbstract":"Acetylene (C2H2) is a trace constituent of the present Earth's oxidizing atmosphere, reflecting a mixture of terrestrial and marine emissions from anthropogenic, biomass-burning, and unidentified biogenic sources. Fermentation of acetylene was serendipitously discovered during C2H2 block assays of N2O reductase, and Pelobacter acetylenicus was shown to grow on C2H2 via acetylene hydratase (AH). AH is a W-containing, catabolic, low-redox-potential enzyme that, unlike nitrogenase (N2ase), is specific for acetylene. Acetylene fermentation is a rare metabolic process that is well characterized only in P. acetylenicus DSM3246 and DSM3247 and Pelobacter sp. strain SFB93. To better understand the genetic controls for AH activity, we sequenced the genomes of the three acetylene-fermenting Pelobacter strains. Genome assembly and annotation produced three novel genomes containing gene sequences for AH, with two copies being present in SFB93. In addition, gene sequences for all five compulsory genes for iron-molybdenum N2ase were also present in the three genomes, indicating the cooccurrence of two acetylene transformation pathways. Nitrogen fixation growth assays showed that DSM3426 could ferment acetylene in the absence of ammonium, but no ethylene was produced. However, SFB93 degraded acetylene and, in the absence of ammonium, produced ethylene, indicating an active N2ase. Diazotrophic growth was observed under N2 but not in experimental controls incubated under argon. SFB93 exhibits acetylene fermentation and nitrogen fixation, the only known biochemical mechanisms for acetylene transformation. Our results indicate complex interactions between N2ase and AH and suggest novel evolutionary pathways for these relic enzymes from early Earth to modern days.
","language":"English","publisher":"American Society of Microbiology","doi":"10.1128/AEM.01198-17","usgsCitation":"Akob, D.M., Baesman, S., Sutton, J.M., Fierst, J.L., Mumford, A.C., Shrestha, Y., Poret-Peterson, A.T., Bennett, S.C., Dunlap, D.S., Haase, K.B., and Oremland, R.S., 2017, Detection of diazotrophy in the acetylene-fermenting anaerobe Pelobacter sp. strain SFB93: Applied and Environmental Microbiology, v. 17, no. 83, p. 1-10, https://doi.org/10.1128/AEM.01198-17.","productDescription":"10 p.","startPage":"1","endPage":"10","ipdsId":"IP-081526","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469594,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/aem.01198-17","text":"Publisher Index Page"},{"id":438240,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70Z71JH","text":"USGS data release","linkHelpText":"Discovery of Two Biological Mechanisms for Acetylene Metabolism in a Single Organism"},{"id":345099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"83","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599fe5b7e4b038630d0220f4","contributors":{"authors":[{"text":"Akob, Denise M. 0000-0003-1534-3025 dakob@usgs.gov","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":4980,"corporation":false,"usgs":true,"family":"Akob","given":"Denise","email":"dakob@usgs.gov","middleInitial":"M.","affiliations":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":708251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baesman, Shaun 0000-0003-0741-8269 sbaesman@usgs.gov","orcid":"https://orcid.org/0000-0003-0741-8269","contributorId":3478,"corporation":false,"usgs":true,"family":"Baesman","given":"Shaun","email":"sbaesman@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":708252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sutton, John M.","contributorId":179294,"corporation":false,"usgs":false,"family":"Sutton","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":708253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fierst, Janna L.","contributorId":179295,"corporation":false,"usgs":false,"family":"Fierst","given":"Janna","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":708255,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mumford, Adam C. 0000-0002-8082-8910 amumford@usgs.gov","orcid":"https://orcid.org/0000-0002-8082-8910","contributorId":171791,"corporation":false,"usgs":true,"family":"Mumford","given":"Adam","email":"amumford@usgs.gov","middleInitial":"C.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":708254,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shrestha, Yesha 0000-0002-9714-8516 yshrestha@usgs.gov","orcid":"https://orcid.org/0000-0002-9714-8516","contributorId":189970,"corporation":false,"usgs":true,"family":"Shrestha","given":"Yesha","email":"yshrestha@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":708256,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poret-Peterson, Amisha T.","contributorId":179296,"corporation":false,"usgs":false,"family":"Poret-Peterson","given":"Amisha","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":708257,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bennett, Stacy C. 0000-0001-5752-1390 scbennett@usgs.gov","orcid":"https://orcid.org/0000-0001-5752-1390","contributorId":193487,"corporation":false,"usgs":true,"family":"Bennett","given":"Stacy","email":"scbennett@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":708261,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dunlap, Darren S. 0000-0001-5595-6817 ddunlap@usgs.gov","orcid":"https://orcid.org/0000-0001-5595-6817","contributorId":5260,"corporation":false,"usgs":true,"family":"Dunlap","given":"Darren","email":"ddunlap@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":708258,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Haase, Karl B. 0000-0002-6897-6494 khaase@usgs.gov","orcid":"https://orcid.org/0000-0002-6897-6494","contributorId":3405,"corporation":false,"usgs":true,"family":"Haase","given":"Karl","email":"khaase@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":708259,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Oremland, Ronald S. 0000-0001-7382-0147 roremlan@usgs.gov","orcid":"https://orcid.org/0000-0001-7382-0147","contributorId":931,"corporation":false,"usgs":true,"family":"Oremland","given":"Ronald","email":"roremlan@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":708260,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70193719,"text":"70193719 - 2017 - Surface morphology of caldera-forming eruption deposits revealed by lidar mapping of Crater Lake National Park, Oregon- Implications for emplacement and surface modification","interactions":[],"lastModifiedDate":"2017-11-06T14:50:52","indexId":"70193719","displayToPublicDate":"2017-08-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Surface morphology of caldera-forming eruption deposits revealed by lidar mapping of Crater Lake National Park, Oregon- Implications for emplacement and surface modification","docAbstract":"Large explosive eruptions of silicic magma can produce widespread pumice fall, extensive ignimbrite sheets, and collapse calderas. The surfaces of voluminous ignimbrites are rarely preserved or documented because most terrestrial examples are heavily vegetated, or severely modified by post-depositional processes. Much research addresses the internal sedimentary characteristics, flow processes, and depositional mechanisms of ignimbrites, however, surface features of ignimbrites are less well documented and understood, except for comparatively small-volume deposits of historical eruptions. The ~7,700 calendar year B.P. climactic eruption of Mount Mazama, USA vented ~50 km3 of magma, deposited first as rhyodacite pumice fall and then as a zoned rhyodacite-to-andesite ignimbrite as Crater Lake caldera collapsed. Lidar collected during summer 2010 reveals the remarkably well-preserved surface of the Mazama ignimbrite and related deposits surrounding Crater Lake caldera in unprecedented detail despite forest cover. The ±1 m lateral and ±4 cm vertical resolution lidar allows surface morphologies to be classified. Surface morphologies are created by internal depositional processes and can point to the processes at work when pyroclastic flows come to rest. We describe nine surface features including furrow-ridge sets and wedge-shaped mounds in pumice fall eroded by high-energy pyroclastic surges, flow- parallel ridges that record the passage of multiple pyroclastic flows, perched benches of marginal deposits stranded by more-mobile pyroclastic-flow cores, hummocks of dense clasts interpreted as lag deposit, transverse ridges that mark the compression and imbrication of flows as they came to rest, scarps indicating ignimbrite remobilization, fields of pit craters caused by phreatic explosions, fractures and cracks caused by extensional processes resulting from ignimbrite volume loss, and stream channels eroded in the newly formed surface. The nine morphologies presented here illustrate a dynamic depositional environment that varied spatially and with time during the eruption, and show that multiple processes modified the ignimbrite after deposition, both during and after the eruption.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2017.02.012","usgsCitation":"Robinson, J., Bacon, C.R., Major, J.J., Wright, H.M., and Vallance, J.W., 2017, Surface morphology of caldera-forming eruption deposits revealed by lidar mapping of Crater Lake National Park, Oregon- Implications for emplacement and surface modification: Journal of Volcanology and Geothermal Research, v. 342, p. 61-78, https://doi.org/10.1016/j.jvolgeores.2017.02.012.","productDescription":"18 p.","startPage":"61","endPage":"78","numberOfPages":"18","ipdsId":"IP-065541","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":461430,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2017.02.012","text":"Publisher Index Page"},{"id":348294,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Crater Lake, Crater Lake National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.19131469726561,\n 42.8\n ],\n [\n -122.03887939453125,\n 42.8\n ],\n [\n -122.03887939453125,\n 43.1\n ],\n [\n -122.19131469726561,\n 43.1\n ],\n [\n -122.19131469726561,\n 42.8\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"342","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e896e4b09af898c8cb89","contributors":{"authors":[{"text":"Robinson, Joel E. 0000-0002-5193-3666 jrobins@usgs.gov","orcid":"https://orcid.org/0000-0002-5193-3666","contributorId":2757,"corporation":false,"usgs":true,"family":"Robinson","given":"Joel E.","email":"jrobins@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":720043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bacon, Charles R. 0000-0002-2165-5618 cbacon@usgs.gov","orcid":"https://orcid.org/0000-0002-2165-5618","contributorId":2909,"corporation":false,"usgs":true,"family":"Bacon","given":"Charles","email":"cbacon@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":720044,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Major, Jon J. 0000-0003-2449-4466 jjmajor@usgs.gov","orcid":"https://orcid.org/0000-0003-2449-4466","contributorId":439,"corporation":false,"usgs":true,"family":"Major","given":"Jon","email":"jjmajor@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":720046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, Heather M. 0000-0001-9013-507X hwright@usgs.gov","orcid":"https://orcid.org/0000-0001-9013-507X","contributorId":3949,"corporation":false,"usgs":true,"family":"Wright","given":"Heather","email":"hwright@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":720045,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vallance, James W. 0000-0002-3083-5469 jvallance@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5469","contributorId":547,"corporation":false,"usgs":true,"family":"Vallance","given":"James","email":"jvallance@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":720047,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70189286,"text":"ofr20171089 - 2017 - Hierarchical population monitoring of greater sage-grouse (Centrocercus urophasianus) in Nevada and California—Identifying populations for management at the appropriate spatial scale","interactions":[],"lastModifiedDate":"2017-12-27T14:59:13","indexId":"ofr20171089","displayToPublicDate":"2017-08-10T00:00:00","publicationYear":"2017","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":"2017-1089","title":"Hierarchical population monitoring of greater sage-grouse (Centrocercus urophasianus) in Nevada and California—Identifying populations for management at the appropriate spatial scale","docAbstract":"Population ecologists have long recognized the importance of ecological scale in understanding processes that guide observed demographic patterns for wildlife species. However, directly incorporating spatial and temporal scale into monitoring strategies that detect whether trajectories are driven by local or regional factors is challenging and rarely implemented. Identifying the appropriate scale is critical to the development of management actions that can attenuate or reverse population declines. We describe a novel example of a monitoring framework for estimating annual rates of population change for greater sage-grouse (Centrocercus urophasianus) within a hierarchical and spatially nested structure. Specifically, we conducted Bayesian analyses on a 17-year dataset (2000–2016) of lek counts in Nevada and northeastern California to estimate annual rates of population change, and compared trends across nested spatial scales. We identified leks and larger scale populations in immediate need of management, based on the occurrence of two criteria: (1) crossing of a destabilizing threshold designed to identify significant rates of population decline at a particular nested scale; and (2) crossing of decoupling thresholds designed to identify rates of population decline at smaller scales that decouple from rates of population change at a larger spatial scale. This approach establishes how declines affected by local disturbances can be separated from those operating at larger scales (for example, broad-scale wildfire and region-wide drought). Given the threshold output from our analysis, this adaptive management framework can be implemented readily and annually to facilitate responsive and effective actions for sage-grouse populations in the Great Basin. The rules of the framework can also be modified to identify populations responding positively to management action or demonstrating strong resilience to disturbance. Similar hierarchical approaches might be beneficial for other species occupying landscapes with heterogeneous disturbance and climatic regimes.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171089","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Coates, P.S., Prochazka, B.G., Ricca, M.A., Wann, G.T., Aldridge, C.L., Hanser, S.E., Doherty, K.E., O’Donnell, M.S., Edmunds, D.R., and, Espinosa, S.P., 2017, Hierarchical population monitoring of greater sage-grouse (Centrocercus urophasianus) in Nevada and California—Identifying populations for management at the appropriate spatial scale: U.S. Geological Survey Open-File Report 2017-1089, 49 p., https://doi.org/10.3133/ofr20171089.","productDescription":"viii, 49 p.","onlineOnly":"Y","ipdsId":"IP-087898","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":344634,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1089/ofr20171089.pdf","text":"Report","size":"15.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1089"},{"id":344633,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1089/coverthb.jpg"}],"country":"United States","state":"California, Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.9,\n 34\n ],\n [\n -113,\n 34\n ],\n [\n -113,\n 42.25\n ],\n [\n -121.9,\n 42.25\n ],\n [\n -121.9,\n 34\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
Since their introduction in the 1970s, Silver Carp Hypophthalmichthys molitrix have spread throughout the Mississippi River basin. Management of any species relies on an accurate understanding of population characteristics and dynamics. However, Silver Carp seasonal sampling variation is unknown. Sampling during periods of peak catch rates would facilitate Silver Carp assessment and management, improving monitoring and removal techniques. The objective of this study was to evaluate adult Silver Carp seasonal sampling variation with boat electroshocking and trammel nets. Silver Carp were collected monthly (April–October) during 2014 and 2015 from four locations in the Des Moines River, Iowa. Trammel nets rarely captured Silver Carp (mean ± SE = 4.9 ± 1.6 fish/net; 60% of fish were captured in 6.3% of net sets) and therefore were not included in analyses. Electroshocking catch rates (CPUEs) exhibited a bimodal distribution, with peak CPUEs generally occurring in May, June, and September and lower catch rates observed during July and August. Catch rates were positively related to river discharge at upstream sites but not at downstream sites. Silver Carp size structure was similar among months and sites except at Cliffland, where fish were smaller during August and October compared to earlier in the year. Finally, Silver Carp condition peaked during April and May and decreased throughout the year except at Keokuk, where peaks were observed during both May and August. Although spatiotemporal variability was substantial, these results suggest that sampling of Silver Carp via electroshocking in May–June and September–October generally produces higher catch rates compared to July–August sampling and generates a more representative size structure. Using site‐specific knowledge, monitoring and surveillance programs could more effectively sample during these periods of high vulnerability and densities in order to manage the spread and impacts of Silver Carp at statewide and regionwide scales.
","language":"English","publisher":"Wiley","doi":"10.1080/02755947.2017.1330785","usgsCitation":"Sullivan, C.J., Camacho, C.A., Weber, M.J., and Pierce, C., 2017, Intra‐annual variability of Silver Carp populations in the Des Moines River, USA: North American Journal of Fisheries Management, v. 37, no. 4, p. 836-849, https://doi.org/10.1080/02755947.2017.1330785.","productDescription":"14 p.","startPage":"836","endPage":"849","ipdsId":"IP-081109","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469641,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/236","text":"External Repository"},{"id":354541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","otherGeospatial":"Des Moines River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.999267578125,\n 40.361195540839\n ],\n [\n -91.34033203125,\n 40.361195540839\n ],\n [\n -91.34033203125,\n 41.38711263243966\n ],\n [\n -92.999267578125,\n 41.38711263243966\n ],\n [\n -92.999267578125,\n 40.361195540839\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-19","publicationStatus":"PW","scienceBaseUri":"5b155e69e4b092d9651e1bb2","contributors":{"authors":[{"text":"Sullivan, Christopher J.","contributorId":204990,"corporation":false,"usgs":false,"family":"Sullivan","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":736645,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Camacho, Carlos A.","contributorId":204991,"corporation":false,"usgs":false,"family":"Camacho","given":"Carlos","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":736646,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weber, Michael J.","contributorId":83799,"corporation":false,"usgs":true,"family":"Weber","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":736647,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":736644,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70212319,"text":"70212319 - 2017 - Group inverse sampling: An economical approach to inverse sampling","interactions":[],"lastModifiedDate":"2020-08-14T14:50:34.43786","indexId":"70212319","displayToPublicDate":"2017-07-18T09:48:46","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1577,"text":"Environmetrics","active":true,"publicationSubtype":{"id":10}},"title":"Group inverse sampling: An economical approach to inverse sampling","docAbstract":"Inverse sampling is an adaptive design in the sense that the final sampling effort during a search for rare events will depend on what is found during the survey. Conventional inverse sampling (CIS) designs successively select individual sampling units to find, for example, the k th rare event. In real sampling situations, use of successive one‐by‐one sampling can be cost prohibitive. Here, we introduce an inverse sampling design that uses successive selection of groups instead of individuals, named group inverse sampling (GIS). An unbiased estimator and its variance estimator of the population mean are derived based on the Murthy estimator. CIS is a special case of the generalized design with group size equal to one. We simulate the GIS design to evaluate its efficiency using populations of rare freshwater mussels in West Virginia, USA. For cost consideration, we calculate distance traveled among the sampling units. Results show that GIS was more cost efficient than CIS in all cases. The group size for successive sampling (d ) was the most influential design parameter for reducing cost and increasing precision. Also, GIS found more rare units with greater consistency compared to simple random sampling without replacement (SRS). An important characteristic of the GIS design is that sampling stops when the target number of rare units is found, which prevents unnecessary sampling and contrasts favorably with other adaptive designs such as adaptive cluster sampling.","language":"English","publisher":"Wiley","doi":"10.1002/env.2459","usgsCitation":"Panahbehagh, B., and Smith, D.R., 2017, Group inverse sampling: An economical approach to inverse sampling: Environmetrics, v. 28, no. 7, e2459, 10 p., https://doi.org/10.1002/env.2459.","productDescription":"e2459, 10 p.","ipdsId":"IP-082689","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":377521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"7","noUsgsAuthors":false,"publicationDate":"2017-07-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Panahbehagh, Bardia","contributorId":238530,"corporation":false,"usgs":false,"family":"Panahbehagh","given":"Bardia","email":"","affiliations":[{"id":47721,"text":"Department of Mathematics, Kharazmi Univeristy","active":true,"usgs":false}],"preferred":false,"id":796358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":796359,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70187394,"text":"sir20175038 - 2017 - Application of at-site peak-streamflow frequency analyses for very low annual exceedance probabilities","interactions":[],"lastModifiedDate":"2017-07-17T07:53:38","indexId":"sir20175038","displayToPublicDate":"2017-07-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5038","title":"Application of at-site peak-streamflow frequency analyses for very low annual exceedance probabilities","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the U.S. Nuclear Regulatory Commission, has investigated statistical methods for probabilistic flood hazard assessment to provide guidance on very low annual exceedance probability (AEP) estimation of peak-streamflow frequency and the quantification of corresponding uncertainties using streamgage-specific data. The term “very low AEP” implies exceptionally rare events defined as those having AEPs less than about 0.001 (or 1 × 10–3 in scientific notation or for brevity 10–3). Such low AEPs are of great interest to those involved with peak-streamflow frequency analyses for critical infrastructure, such as nuclear power plants. Flood frequency analyses at streamgages are most commonly based on annual instantaneous peak streamflow data and a probability distribution fit to these data. The fitted distribution provides a means to extrapolate to very low AEPs. Within the United States, the Pearson type III probability distribution, when fit to the base-10 logarithms of streamflow, is widely used, but other distribution choices exist. The USGS-PeakFQ software, implementing the Pearson type III within the Federal agency guidelines of Bulletin 17B (method of moments) and updates to the expected moments algorithm (EMA), was specially adapted for an “Extended Output” user option to provide estimates at selected AEPs from 10–3 to 10–6. Parameter estimation methods, in addition to product moments and EMA, include L-moments, maximum likelihood, and maximum product of spacings (maximum spacing estimation). This study comprehensively investigates multiple distributions and parameter estimation methods for two USGS streamgages (01400500 Raritan River at Manville, New Jersey, and 01638500 Potomac River at Point of Rocks, Maryland). The results of this study specifically involve the four methods for parameter estimation and up to nine probability distributions, including the generalized extreme value, generalized log-normal, generalized Pareto, and Weibull. Uncertainties in streamflow estimates for corresponding AEP are depicted and quantified as two primary forms: quantile (aleatoric [random sampling] uncertainty) and distribution-choice (epistemic [model] uncertainty). Sampling uncertainties of a given distribution are relatively straightforward to compute from analytical or Monte Carlo-based approaches. Distribution-choice uncertainty stems from choices of potentially applicable probability distributions for which divergence among the choices increases as AEP decreases. Conventional goodness-of-fit statistics, such as Cramér-von Mises, and L-moment ratio diagrams are demonstrated in order to hone distribution choice. The results generally show that distribution choice uncertainty is larger than sampling uncertainty for very low AEP values.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175038","collaboration":"Prepared in cooperation with the U.S. Nuclear Regulatory Commission","usgsCitation":"Asquith, W.H., Kiang, J.E., and Cohn, T.A., 2017, Application of at-site peak-streamflow frequency analyses for very low annual exceedance probabilities: U.S. Geological Survey Scientific Investigation Report 2017–5038, 93 p., https://doi.org/10.3133/sir20175038.","productDescription":"ix, 93 p.","onlineOnly":"Y","ipdsId":"IP-079000","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":343747,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5038/coverthb.jpg"},{"id":343748,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5038/sir20175038.pdf","text":"Report","size":"6.24 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5038"}],"contact":"Director, Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, Texas 78754–4501
Though biological soil crusts (biocrusts) form abundant covers in arid and semiarid regions, their competing effects on soil hydrologic conditions are rarely accounted for in models. This study presents the modification of a soil water balance model to account for the presence of biocrusts at different levels of development (LOD) and their impact on one-dimensional hydrologic processes during warm and cold seasons. The model is developed, tested, and applied to study the hydrologic controls of biocrusts in context of a long-term manipulative experiment equipped with meteorological and soil moisture measurements in a Colorado Plateau ecosystem near Moab, Utah. The climate manipulation treatments resulted in distinct biocrust communities, and model performance with respect to soil moisture was assessed in experimental plots with varying LOD as quantified through a field-based roughness index (RI). Model calibration and testing yielded excellent comparisons to observations and smooth variations of biocrust parameters with RI approximated through simple regressions. The model was then used to quantify how LOD affects soil infiltration, evapotranspiration, and runoff under calibrated conditions and in simulation experiments with gradual modifications in biocrust porosity and hydraulic conductivity. Simulation results show that highly developed biocrusts modulate soil moisture nonlinearly with LOD by altering soil infiltration and buffering against evapotranspiration losses, with small impacts on runoff. The nonlinear and threshold variations of the soil water balance in the presence of biocrusts of varying LOD helps explain conflicting outcomes of various field studies and sheds light on the ecohydrological role of biocrusts in arid and semiarid ecosystems.
","language":"English","publisher":"Wiley","doi":"10.1002/eco.1875","usgsCitation":"Whitney, K.M., Vivoni, E.R., Duniway, M.C., Bradford, J.B., Reed, S.C., and Belnap, J., 2017, Ecohydrological role of biological soil crusts across a gradient in levels of development: Ecohydrology, v. 10, no. 7, Article e1875; 18 p., https://doi.org/10.1002/eco.1875.","productDescription":"Article e1875; 18 p.","ipdsId":"IP-077787","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":343759,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","city":"Moab","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.51515197753906,\n 38.652807047773784\n ],\n [\n -109.34829711914062,\n 38.652807047773784\n ],\n [\n -109.34829711914062,\n 38.76318574559655\n ],\n [\n -109.51515197753906,\n 38.76318574559655\n ],\n [\n -109.51515197753906,\n 38.652807047773784\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-26","publicationStatus":"PW","scienceBaseUri":"5967353ee4b0d1f9f05dd7be","contributors":{"authors":[{"text":"Whitney, Kristen M.","contributorId":194535,"corporation":false,"usgs":false,"family":"Whitney","given":"Kristen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":704573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vivoni, Enrique R.","contributorId":139052,"corporation":false,"usgs":false,"family":"Vivoni","given":"Enrique","email":"","middleInitial":"R.","affiliations":[{"id":12634,"text":"School of Earth and Space Exploration and School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ","active":true,"usgs":false}],"preferred":false,"id":704574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":704572,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":704575,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":704576,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":704577,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70189241,"text":"70189241 - 2017 - Using mineral geochemistry to decipher slab, mantle, and crustal input in the generation of high-Mg andesites and basaltic andesites from the northern Cascade Arc","interactions":[],"lastModifiedDate":"2018-01-28T16:33:33","indexId":"70189241","displayToPublicDate":"2017-07-06T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":738,"text":"American Mineralogist","active":true,"publicationSubtype":{"id":10}},"title":"Using mineral geochemistry to decipher slab, mantle, and crustal input in the generation of high-Mg andesites and basaltic andesites from the northern Cascade Arc","docAbstract":"To better understand the role of slab melt in the petrogenesis of North Cascades magmas, this study focuses on petrogenesis of high-Mg lavas from the two northernmost active volcanoes in Washington. High-Mg andesites (HMA) and basaltic andesites (HMBA) in the Cascade Arc have high Mg# [molar Mg/(Mg+Fe2+)] relative to their SiO2 contents, elevated Nd/Yb, and are Ni- and Cr-enriched. The rock units examined here include the Tarn Plateau HMBA (51.8–54.0 wt% SiO2, Mg# 68–70) and Glacier Creek HMA (58.3–58.7 wt% SiO2, Mg# 63–64) from the Mount Baker Volcanic Field, and the Lightning Creek HMBA (54.8–54.6 SiO2, Mg# 69–73) from Glacier Peak. This study combines major and trace element compositions of minerals and whole rocks to test several petrogenetic hypotheses and to determine which, if any, are applicable to North Cascades HMA and HMBA. In the Tarn Plateau HMBA, rare earth element (REE) equilibrium liquids calculated from clinopyroxene compositions have high Nd/Yb that positively correlates with Mg#. This correlation suggests an origin similar to that proposed for Aleutian adakites, where intermediate, high Nd/Yb slab-derived melts interact with the overlying mantle to become Mg-rich, and subsequently mix with low Nd/Yb, mantle-derived mafic magmas with lower Mg#. In the Glacier Creek HMA, elevated whole-rock MgO and SiO2 contents resulted from accumulation of xenocrystic olivine and differentiation processes, respectively, but the cause of high Nd/Yb is less clear. However, high whole-rock Sr/P (fluid mobile/fluid immobile) values indicate a mantle source that was fluxed by an enriched, hydrous slab component, likely producing the observed high Nd/Yb REE signature. The Lightning Creek HMBA is a hybridized rock unit with at least three identifiable magmatic components, but only one of which has HMA characteristics. Cr and Mg contents in Cr-spinel and olivine pairs in this HMA component suggest that its source is a strongly depleted mantle, and high whole-rock Sr/P values indicate mantle melting that was induced through hydration, likely adding the component responsible for the observed high Nd/Yb REE pattern. The elevated SiO2 contents (54.6 wt%) of the HMA component resulted from differentiation or high degrees of partial melting of ultramafic material through the addition of H2O. Therefore the Lightning Creek HMBA is interpreted to have originated from a refractory mantle source that underwent melting through interaction with an enriched slab component. Our results indicate that in addition to slab-derived fluids, slab-derived melts also have an important role in the production of HMA and HMBA in the north Cascade Arc.
","language":"English","publisher":"Mineralogical Society of America","doi":"10.2138/am-2017-5756","usgsCitation":"Sas, M., DeBari, S., Clynne, M.A., and Rusk, B.G., 2017, Using mineral geochemistry to decipher slab, mantle, and crustal input in the generation of high-Mg andesites and basaltic andesites from the northern Cascade Arc: American Mineralogist, v. 102, no. 5, p. 948-965, https://doi.org/10.2138/am-2017-5756.","productDescription":"28 p.","startPage":"948","endPage":"965","ipdsId":"IP-074407","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":343407,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Cascade Arc","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -128.935546875,\n 40.06125658140474\n ],\n [\n -119.99267578124999,\n 40.06125658140474\n ],\n [\n -119.99267578124999,\n 51.069016659603896\n ],\n [\n -128.935546875,\n 51.069016659603896\n ],\n [\n -128.935546875,\n 40.06125658140474\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"102","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595f4c35e4b0d1f9f057e2f0","contributors":{"authors":[{"text":"Sas, May","contributorId":194298,"corporation":false,"usgs":false,"family":"Sas","given":"May","email":"","affiliations":[],"preferred":false,"id":703673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeBari, Susan","contributorId":194299,"corporation":false,"usgs":false,"family":"DeBari","given":"Susan","email":"","affiliations":[],"preferred":false,"id":703674,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clynne, Michael A. 0000-0002-4220-2968 mclynne@usgs.gov","orcid":"https://orcid.org/0000-0002-4220-2968","contributorId":2032,"corporation":false,"usgs":true,"family":"Clynne","given":"Michael","email":"mclynne@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":703672,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rusk, Brian G.","contributorId":23648,"corporation":false,"usgs":true,"family":"Rusk","given":"Brian","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":703675,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192825,"text":"70192825 - 2017 - Morphological and molecular characterization of Sarcocystis arctica-like sarcocysts from the Arctic fox (Vulpes lagopus) from Alaska, USA","interactions":[],"lastModifiedDate":"2017-11-01T17:01:34","indexId":"70192825","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3012,"text":"Parasitology Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Morphological and molecular characterization of Sarcocystis arctica-like sarcocysts from the Arctic fox (Vulpes lagopus) from Alaska, USA","title":"Morphological and molecular characterization of Sarcocystis arctica-like sarcocysts from the Arctic fox (Vulpes lagopus) from Alaska, USA","docAbstract":"The muscles of herbivores commonly harbor sarcocysts of parasites belonging to species in the genus Sarcocystis, but such muscle parasites are rare in carnivores. Here, we report Sarcocystis arctica-like sarcocysts in muscles of Arctic foxes (Vulpes lagopus) from Alaska, USA, for the first time. The tongues of 56 foxes were examined for Sarcocystis infection using several methods. Sarcocystis bradyzoites were detected in pepsin digests of 13 (23.2%), and sarcocysts were found in histological sections stained with hematoxylin and eosin (HE) of 9 (16.0%). By light microscopy, sarcocysts were up to 4 mm long and up to 245 μm wide. In HE-stained sections, the sarcocyst wall appeared smooth and up to 1.5 μm thick without visible protrusions. By transmission electron microscopy, the sarcocyst wall had a wavy parasitophorous vacuolar membrane (pvm) folded as pleomorphic villar protrusions (vp), sometimes with anastomoses of villar tips. The vp and the ground substance (gs) layer were smooth and without microtubules. The gs was up to 2.0 μm thick. The total width of the wall including vp and the gs was up to 4.0 μm. The vp were up to 3.0 μm long and most closely resembled “type 9c.” All sarcocysts were mature and contained numerous 8.1 × 2.1 μm sized bradyzoites. Molecular characterization (at 18S rDNA, 28S rDNA, ITS-1, and cox1) showed the highest affinity for S. arctica of the Arctic fox (V. lagopus) from Norway. In the present investigation, we provide evidence that sarcocysts are common in tongues of Alaskan Arctic foxes suggesting that these carnivores are serving as intermediate hosts, and we also provide ultrastructure of S. arctica from the Arctic fox for the first time.
","language":"English","publisher":"Springer","doi":"10.1007/s00436-017-5462-6","usgsCitation":"Cerqueira-Cezar, C.K., Thompson, P.C., Verma, S.K., Mowery, J., Calero-Bernal, R., Antunes Murata, F.H., Sinnett, D.R., Van Hemert, C.R., Rosenthal, B.M., and Dubey, J.P., 2017, Morphological and molecular characterization of Sarcocystis arctica-like sarcocysts from the Arctic fox (Vulpes lagopus) from Alaska, USA: Parasitology Research, v. 116, no. 7, p. 1871-1878, https://doi.org/10.1007/s00436-017-5462-6.","productDescription":"8 p.","startPage":"1871","endPage":"1878","ipdsId":"IP-085305","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":348061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"116","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-15","publicationStatus":"PW","scienceBaseUri":"59fadd22e4b0531197b13c8e","contributors":{"authors":[{"text":"Cerqueira-Cezar, Camila K.","contributorId":199060,"corporation":false,"usgs":false,"family":"Cerqueira-Cezar","given":"Camila","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":719244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Peter C.","contributorId":199475,"corporation":false,"usgs":false,"family":"Thompson","given":"Peter","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":719245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verma, Shiv K.","contributorId":167589,"corporation":false,"usgs":false,"family":"Verma","given":"Shiv","email":"","middleInitial":"K.","affiliations":[{"id":24764,"text":"US Department of Agriculture, Agricultural Research Service, Animal Parasitic Diseases Laboratory, Beltsville, MD, 20705-2350","active":true,"usgs":false}],"preferred":false,"id":719246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mowery, Joseph","contributorId":199476,"corporation":false,"usgs":false,"family":"Mowery","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":719247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Calero-Bernal, Rafael","contributorId":199477,"corporation":false,"usgs":false,"family":"Calero-Bernal","given":"Rafael","email":"","affiliations":[],"preferred":false,"id":719248,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Antunes Murata, Fernando H.","contributorId":199478,"corporation":false,"usgs":false,"family":"Antunes Murata","given":"Fernando","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":719249,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sinnett, David R.","contributorId":199479,"corporation":false,"usgs":false,"family":"Sinnett","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":719250,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Van Hemert, Caroline R. 0000-0002-6858-7165 cvanhemert@usgs.gov","orcid":"https://orcid.org/0000-0002-6858-7165","contributorId":3592,"corporation":false,"usgs":true,"family":"Van Hemert","given":"Caroline","email":"cvanhemert@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":719251,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rosenthal, Benjamin M.","contributorId":199480,"corporation":false,"usgs":false,"family":"Rosenthal","given":"Benjamin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":719252,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dubey, Jitender P.","contributorId":41707,"corporation":false,"usgs":true,"family":"Dubey","given":"Jitender","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":719253,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70192140,"text":"70192140 - 2017 - Plant diversity increases with the strength of negative density dependence at the global scale","interactions":[],"lastModifiedDate":"2017-10-23T14:29:48","indexId":"70192140","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Plant diversity increases with the strength of negative density dependence at the global scale","docAbstract":"Theory predicts that higher biodiversity in the tropics is maintained by specialized interactions among plants and their natural enemies that result in conspecific negative density dependence (CNDD). By using more than 3000 species and nearly 2.4 million trees across 24 forest plots worldwide, we show that global patterns in tree species diversity reflect not only stronger CNDD at tropical versus temperate latitudes but also a latitudinal shift in the relationship between CNDD and species abundance. CNDD was stronger for rare species at tropical versus temperate latitudes, potentially causing the persistence of greater numbers of rare species in the tropics. Our study reveals fundamental differences in the nature of local-scale biotic interactions that contribute to the maintenance of species diversity across temperate and tropical communities.
","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/science.aam5678","usgsCitation":"LaManna, J.A., Mangan, S.A., Alonso, A., Bourg, N., Brockelman, W.Y., Bunyavejchewin, S., Chang, L., Chiang, J., Chuyong, G.B., Clay, K., Condit, R., Cordell, S., Davies, S.J., Furniss, T.J., Giardina, C.P., Gunatilleke, I.N., Gunatilleke, C.S., He, F., Howe, R.W., Hubbell, S.P., Hsieh, C., Inman-Narahari, F.M., Janik, D., Johnson, D.J., Kenfack, D., Korte, L., Kral, K., Larson, A.J., Lutz, J.A., McMahon, S.M., McShea, W.J., Memiaghe, H.R., Nathalang, A., Novotny, V., Ong, P.S., Orwig, D.A., Ostertag, R., Parker, G.G., Phillips, R.P., Sack, L., Sun, I., Tello, J.S., Thomas, D.W., Turner, B.L., Vela Diaz, D.M., Vrska, T., Weiblen, G.D., Wolf, A., Yap, S., and Myers, J.A., 2017, Plant diversity increases with the strength of negative density dependence at the global scale: Science, v. 356, no. 6345, p. 1389-1392, https://doi.org/10.1126/science.aam5678.","productDescription":"4 p.","startPage":"1389","endPage":"1392","ipdsId":"IP-087771","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":347136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"356","issue":"6345","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59eeffa7e4b0220bbd988f92","contributors":{"authors":[{"text":"LaManna, Joseph A.","contributorId":171738,"corporation":false,"usgs":false,"family":"LaManna","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":714379,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mangan, Scott A.","contributorId":197810,"corporation":false,"usgs":false,"family":"Mangan","given":"Scott","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":714380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alonso, Alfonso","contributorId":197811,"corporation":false,"usgs":false,"family":"Alonso","given":"Alfonso","email":"","affiliations":[],"preferred":false,"id":714381,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bourg, Norman 0000-0002-7443-1992 nbourg@usgs.gov","orcid":"https://orcid.org/0000-0002-7443-1992","contributorId":197809,"corporation":false,"usgs":true,"family":"Bourg","given":"Norman","email":"nbourg@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":714378,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brockelman, Warren Y.","contributorId":197812,"corporation":false,"usgs":false,"family":"Brockelman","given":"Warren","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":714382,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bunyavejchewin, Sarayudh","contributorId":197813,"corporation":false,"usgs":false,"family":"Bunyavejchewin","given":"Sarayudh","email":"","affiliations":[],"preferred":false,"id":714383,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chang, Li-Wan","contributorId":197814,"corporation":false,"usgs":false,"family":"Chang","given":"Li-Wan","email":"","affiliations":[],"preferred":false,"id":714384,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chiang, Jyh-Min","contributorId":197815,"corporation":false,"usgs":false,"family":"Chiang","given":"Jyh-Min","email":"","affiliations":[],"preferred":false,"id":714385,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chuyong, George B.","contributorId":197816,"corporation":false,"usgs":false,"family":"Chuyong","given":"George","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":714386,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Clay, Keith","contributorId":140472,"corporation":false,"usgs":false,"family":"Clay","given":"Keith","email":"","affiliations":[{"id":12645,"text":"Indiana University - Northwest","active":true,"usgs":false}],"preferred":false,"id":714387,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Condit, Richard","contributorId":197817,"corporation":false,"usgs":false,"family":"Condit","given":"Richard","email":"","affiliations":[],"preferred":false,"id":714388,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cordell, Susan","contributorId":197818,"corporation":false,"usgs":false,"family":"Cordell","given":"Susan","email":"","affiliations":[],"preferred":false,"id":714389,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Davies, Stuart J.","contributorId":197819,"corporation":false,"usgs":false,"family":"Davies","given":"Stuart","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714390,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Furniss, Tucker J.","contributorId":181754,"corporation":false,"usgs":false,"family":"Furniss","given":"Tucker","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714391,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Giardina, Christian P. 0000-0002-3431-5073","orcid":"https://orcid.org/0000-0002-3431-5073","contributorId":182695,"corporation":false,"usgs":false,"family":"Giardina","given":"Christian","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":714392,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Gunatilleke, I.A.U. Nimal","contributorId":197820,"corporation":false,"usgs":false,"family":"Gunatilleke","given":"I.A.U.","email":"","middleInitial":"Nimal","affiliations":[],"preferred":false,"id":714393,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Gunatilleke, C.V. Savitri","contributorId":197821,"corporation":false,"usgs":false,"family":"Gunatilleke","given":"C.V.","email":"","middleInitial":"Savitri","affiliations":[],"preferred":false,"id":714394,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"He, Fangliang","contributorId":197822,"corporation":false,"usgs":false,"family":"He","given":"Fangliang","email":"","affiliations":[],"preferred":false,"id":714395,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Howe, Robert W.","contributorId":197823,"corporation":false,"usgs":false,"family":"Howe","given":"Robert","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":714396,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Hubbell, Stephen P.","contributorId":197824,"corporation":false,"usgs":false,"family":"Hubbell","given":"Stephen","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":714397,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Hsieh, Chang-Fu","contributorId":197825,"corporation":false,"usgs":false,"family":"Hsieh","given":"Chang-Fu","email":"","affiliations":[],"preferred":false,"id":714398,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Inman-Narahari, Faith M.","contributorId":197826,"corporation":false,"usgs":false,"family":"Inman-Narahari","given":"Faith","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714399,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Janik, David","contributorId":197827,"corporation":false,"usgs":false,"family":"Janik","given":"David","email":"","affiliations":[],"preferred":false,"id":714400,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Johnson, Daniel J.","contributorId":197828,"corporation":false,"usgs":false,"family":"Johnson","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714401,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Kenfack, David","contributorId":197829,"corporation":false,"usgs":false,"family":"Kenfack","given":"David","email":"","affiliations":[],"preferred":false,"id":714402,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Korte, Lisa","contributorId":197830,"corporation":false,"usgs":false,"family":"Korte","given":"Lisa","email":"","affiliations":[],"preferred":false,"id":714403,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Kral, Kamil","contributorId":197831,"corporation":false,"usgs":false,"family":"Kral","given":"Kamil","email":"","affiliations":[],"preferred":false,"id":714404,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Larson, Andrew J.","contributorId":197832,"corporation":false,"usgs":false,"family":"Larson","given":"Andrew","email":"","middleInitial":"J.","affiliations":[{"id":7089,"text":"University of Montana, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":714405,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Lutz, James A.","contributorId":139178,"corporation":false,"usgs":false,"family":"Lutz","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":12682,"text":"Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":714406,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"McMahon, Sean M. 0000-0001-8302-6908","orcid":"https://orcid.org/0000-0001-8302-6908","contributorId":197833,"corporation":false,"usgs":false,"family":"McMahon","given":"Sean","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714407,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"McShea, William J.","contributorId":197834,"corporation":false,"usgs":false,"family":"McShea","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714408,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Memiaghe, Herve R.","contributorId":197835,"corporation":false,"usgs":false,"family":"Memiaghe","given":"Herve","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":714409,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Nathalang, Anuttara","contributorId":197836,"corporation":false,"usgs":false,"family":"Nathalang","given":"Anuttara","email":"","affiliations":[],"preferred":false,"id":714410,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Novotny, Vojtech","contributorId":197837,"corporation":false,"usgs":false,"family":"Novotny","given":"Vojtech","email":"","affiliations":[],"preferred":false,"id":714411,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Ong, Perry S.","contributorId":197838,"corporation":false,"usgs":false,"family":"Ong","given":"Perry","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":714412,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Orwig, David A.","contributorId":197839,"corporation":false,"usgs":false,"family":"Orwig","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":714413,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Ostertag, Rebecca","contributorId":197840,"corporation":false,"usgs":false,"family":"Ostertag","given":"Rebecca","email":"","affiliations":[],"preferred":false,"id":714414,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Parker, Geoffrey G.","contributorId":197841,"corporation":false,"usgs":false,"family":"Parker","given":"Geoffrey","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":714415,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Phillips, Richard P.","contributorId":187581,"corporation":false,"usgs":false,"family":"Phillips","given":"Richard","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":714416,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Sack, Lawren","contributorId":197842,"corporation":false,"usgs":false,"family":"Sack","given":"Lawren","email":"","affiliations":[],"preferred":false,"id":714417,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Sun, I-Fang","contributorId":197843,"corporation":false,"usgs":false,"family":"Sun","given":"I-Fang","email":"","affiliations":[],"preferred":false,"id":714418,"contributorType":{"id":1,"text":"Authors"},"rank":41},{"text":"Tello, J. Sebastian","contributorId":197844,"corporation":false,"usgs":false,"family":"Tello","given":"J.","email":"","middleInitial":"Sebastian","affiliations":[],"preferred":false,"id":714419,"contributorType":{"id":1,"text":"Authors"},"rank":42},{"text":"Thomas, Duncan W.","contributorId":197845,"corporation":false,"usgs":false,"family":"Thomas","given":"Duncan","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":714420,"contributorType":{"id":1,"text":"Authors"},"rank":43},{"text":"Turner, Benjamin L.","contributorId":197846,"corporation":false,"usgs":false,"family":"Turner","given":"Benjamin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":714421,"contributorType":{"id":1,"text":"Authors"},"rank":44},{"text":"Vela Diaz, Dilys M.","contributorId":197847,"corporation":false,"usgs":false,"family":"Vela Diaz","given":"Dilys","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714422,"contributorType":{"id":1,"text":"Authors"},"rank":45},{"text":"Vrska, Tomas","contributorId":197848,"corporation":false,"usgs":false,"family":"Vrska","given":"Tomas","email":"","affiliations":[],"preferred":false,"id":714423,"contributorType":{"id":1,"text":"Authors"},"rank":46},{"text":"Weiblen, George D.","contributorId":197849,"corporation":false,"usgs":false,"family":"Weiblen","given":"George","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":714424,"contributorType":{"id":1,"text":"Authors"},"rank":47},{"text":"Wolf, Amy","contributorId":197850,"corporation":false,"usgs":false,"family":"Wolf","given":"Amy","email":"","affiliations":[],"preferred":false,"id":714425,"contributorType":{"id":1,"text":"Authors"},"rank":48},{"text":"Yap, Sandra","contributorId":197851,"corporation":false,"usgs":false,"family":"Yap","given":"Sandra","email":"","affiliations":[],"preferred":false,"id":714426,"contributorType":{"id":1,"text":"Authors"},"rank":49},{"text":"Myers, Jonathan A.","contributorId":197852,"corporation":false,"usgs":false,"family":"Myers","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":714427,"contributorType":{"id":1,"text":"Authors"},"rank":50}]}} ,{"id":70193702,"text":"70193702 - 2017 - Gradients in Catostomid assemblages along a reservoir cascade","interactions":[],"lastModifiedDate":"2017-11-05T18:03:11","indexId":"70193702","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Gradients in Catostomid assemblages along a reservoir cascade","docAbstract":"Serial impoundment of major rivers leads to alterations of natural flow dynamics and disrupts longitudinal connectivity. Catostomid fishes (suckers, family Catostomidae) are typically found in riverine or backwater habitats yet are able to persist in impounded river systems. To the detriment of conservation, there is limited information about distribution of catostomid fishes in impounded rivers. We examined the longitudinal distribution of catostomid fishes over 23 reservoirs of the Tennessee River reservoir cascade, encompassing approximately 1600 km. Our goal was to develop a basin-scale perspective to guide conservation efforts. Catostomid species composition and assemblage structure changed longitudinally along the reservoir cascade. Catostomid species biodiversity was greatest in reservoirs lower in the cascade. Assemblage composition shifted from dominance by spotted sucker Minytrema melanops and buffalos Ictiobus spp. in the lower reservoirs to carpsuckers Carpiodes spp. midway through the cascade and redhorses Moxostoma spp. in the upper reservoirs. Most species did not extend the length of the cascade, and some species were rare, found in low numbers and in few reservoirs. The observed gradients in catostomid assemblages suggest the need for basin-scale conservation measures focusing on three broad areas: (1) conservation and management of the up-lake riverine reaches of the lower reservoirs, (2) maintenance of the access to quality habitat in tributaries to the upper reservoirs and (3) reintroductions into currently unoccupied habitat within species' historic distributions
","language":"English","publisher":"Wiley","doi":"10.1002/rra.3144","usgsCitation":"Miranda, L.E., Keretz, K.R., and Gilliland, C.R., 2017, Gradients in Catostomid assemblages along a reservoir cascade: River Research and Applications, v. 33, no. 6, p. 983-990, https://doi.org/10.1002/rra.3144.","productDescription":"8 p.","startPage":"983","endPage":"990","ipdsId":"IP-076827","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348201,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Tennessee River","volume":"33","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-16","publicationStatus":"PW","scienceBaseUri":"5a00314fe4b0531197b5a740","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":719994,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keretz, Kevin R. 0000-0002-4808-8350 kkeretz@usgs.gov","orcid":"https://orcid.org/0000-0002-4808-8350","contributorId":5859,"corporation":false,"usgs":true,"family":"Keretz","given":"Kevin","email":"kkeretz@usgs.gov","middleInitial":"R.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":719995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilliland, Chelsea R.","contributorId":199772,"corporation":false,"usgs":false,"family":"Gilliland","given":"Chelsea","email":"","middleInitial":"R.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":719996,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188842,"text":"70188842 - 2017 - Estimating incision healing rate for surgically implanted acoustic transmitters from recaptured fish","interactions":[],"lastModifiedDate":"2018-03-15T20:17:18","indexId":"70188842","displayToPublicDate":"2017-06-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":773,"text":"Animal Biotelemetry","active":true,"publicationSubtype":{"id":10}},"title":"Estimating incision healing rate for surgically implanted acoustic transmitters from recaptured fish","docAbstract":"Background Intracoelomic implantation of electronic tags has become a common method in fishery research, but rarely are fish examined by scientists after release to understand the extent that surgical incisions have healed. Walleye (Sander vitreus) are a valuable, highly exploited fishery resource in the Laurentian Great Lakes. Here, fishery capture of walleye with internal acoustic transmitters combined with a high reward program provided multiple opportunities to examine photographs and quantify the status of surgical incisions. Walleye (n = 926) from reef and river spawning populations in Lake Erie and Lake Huron were implanted with acoustic transmitters during spring spawning events from 2011 to 2016. Incisions were closed with polydioxanone monofilament using two to three interrupted sutures. Out of 276 recaptured fish, 60 incision sites were clearly visible in photographs, and these were scored by two independent readers for incision closure, inflammation, and the presence of sutures.
Results While incision sites were completely closed by 61 days post-release (95% CI 44–94), sutures remained for up to 866 days. Sutures were expelled serially during a protracted period, and the probability of observing at least one suture in a recaptured fish declined below 50% after 673 days (95% CI 442–1016). Inflammation at the incision increased during the first 71 days and then declined monotonically, remaining detectable at low levels.
Conclusion Our results emphasized that sutures remained in free-ranging fish past the time when they were beneficial for incision healing. Most dissolvable sutures have been designed for use in endotherms where the body temperature and internal milieu differ dramatically from the conditions experienced by fishes in temperate climates. Identification of new suture materials for fish that facilitate healing while absorbing or dissolving in a reasonable period (e.g., a few weeks to three months) in colder temperatures (e.g., <12 °C) would be beneficial to mitigate potential adverse impacts from inflammation at the incision.
","language":"English","publisher":"BMC Publications","doi":"10.1186/s40317-017-0130-2","usgsCitation":"Schoonyan, A., Kraus, R.T., Faust, M.D., Vandergoot, C., Cooke, S., Cook, H., Hayden, T.A., and Krueger, C., 2017, Estimating incision healing rate for surgically implanted acoustic transmitters from recaptured fish: Animal Biotelemetry, v. 5, no. 15, 8 p., https://doi.org/10.1186/s40317-017-0130-2.","productDescription":"8 p.","ipdsId":"IP-083296","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":461475,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40317-017-0130-2","text":"Publisher Index Page"},{"id":352587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"15","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-21","publicationStatus":"PW","scienceBaseUri":"5afee854e4b0da30c1bfc42e","contributors":{"authors":[{"text":"Schoonyan, Abby 0000-0002-1170-560X aschoonyan@usgs.gov","orcid":"https://orcid.org/0000-0002-1170-560X","contributorId":193493,"corporation":false,"usgs":true,"family":"Schoonyan","given":"Abby","email":"aschoonyan@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":700605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraus, Richard T. 0000-0003-4494-1841 rkraus@usgs.gov","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":2609,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","email":"rkraus@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":700604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faust, Matthew D.","contributorId":145776,"corporation":false,"usgs":false,"family":"Faust","given":"Matthew","email":"","middleInitial":"D.","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":700606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vandergoot, Christopher 0000-0003-4128-3329 cvandergoot@usgs.gov","orcid":"https://orcid.org/0000-0003-4128-3329","contributorId":178356,"corporation":false,"usgs":true,"family":"Vandergoot","given":"Christopher","email":"cvandergoot@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":700607,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooke, Steven J.","contributorId":56132,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":700608,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cook, H. Andrew","contributorId":181530,"corporation":false,"usgs":false,"family":"Cook","given":"H. Andrew","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":700609,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hayden, Todd A. 0000-0002-0451-0425 thayden@usgs.gov","orcid":"https://orcid.org/0000-0002-0451-0425","contributorId":5987,"corporation":false,"usgs":true,"family":"Hayden","given":"Todd","email":"thayden@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":700610,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Krueger, Charles C.","contributorId":67821,"corporation":false,"usgs":false,"family":"Krueger","given":"Charles C.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":700611,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}