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","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151116","usgsCitation":"Borcherdt, R.D., 2015, NGA-West 2 GMPE average site coefficients for use in earthquake-resistant design: U.S. Geological Survey Open-File Report 2015-1116, v, 27 p., https://doi.org/10.3133/ofr20151116.","productDescription":"v, 27 p.","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-062975","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":301552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151116.gif"},{"id":301551,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1116/pdf/ofr2015-1116.pdf","text":"Report","size":"346 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":301550,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1116/"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558923a4e4b0b6d21dd61a49","contributors":{"authors":[{"text":"Borcherdt, Roger D. 0000-0002-8668-0849 borcherdt@usgs.gov","orcid":"https://orcid.org/0000-0002-8668-0849","contributorId":2373,"corporation":false,"usgs":true,"family":"Borcherdt","given":"Roger","email":"borcherdt@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":548837,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70197064,"text":"70197064 - 2015 - Economic assessment of the use value of geospatial information","interactions":[],"lastModifiedDate":"2018-05-18T13:47:13","indexId":"70197064","displayToPublicDate":"2015-06-22T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5685,"text":"ISPRS International Journal of Geo-Information ","printIssn":"2220-9964","active":true,"publicationSubtype":{"id":10}},"title":"Economic assessment of the use value of geospatial information","docAbstract":"Geospatial data inform decision makers. An economic model that involves application of spatial and temporal scientific, technical, and economic data in decision making is described. The value of information (VOI) contained in geospatial data is the difference between the net benefits (in present value terms) of a decision with and without the information. A range of technologies is used to collect and distribute geospatial data. These technical activities are linked to examples that show how the data can be applied in decision making, which is a cultural activity. The economic model for assessing the VOI in geospatial data for decision making is applied to three examples: (1) a retrospective model about environmental regulation of agrochemicals; (2) a prospective model about the impact and mitigation of earthquakes in urban areas; and (3) a prospective model about developing private–public geospatial information for an ecosystem services market. Each example demonstrates the potential value of geospatial information in a decision with uncertain information.
","language":"English","publisher":"International Society for Photogrammetry and Remote Sensing","doi":"10.3390/ijgi4031142","usgsCitation":"Bernknopf, R.L., and Shapiro, C.D., 2015, Economic assessment of the use value of geospatial information: ISPRS International Journal of Geo-Information , v. 4, no. 3, p. 1142-1165, https://doi.org/10.3390/ijgi4031142.","productDescription":"24 p.","startPage":"1142","endPage":"1165","ipdsId":"IP-066480","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":472003,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ijgi4031142","text":"Publisher Index Page"},{"id":354200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"3","noUsgsAuthors":false,"publicationDate":"2015-07-09","publicationStatus":"PW","scienceBaseUri":"5afeeb5fe4b0da30c1bfc667","contributors":{"authors":[{"text":"Bernknopf, Richard L.","contributorId":97061,"corporation":false,"usgs":true,"family":"Bernknopf","given":"Richard","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":735455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shapiro, Carl D. 0000-0002-1598-6808 cshapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-1598-6808","contributorId":3048,"corporation":false,"usgs":true,"family":"Shapiro","given":"Carl","email":"cshapiro@usgs.gov","middleInitial":"D.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":735456,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70140696,"text":"ds922 - 2015 - Data from the 2011 International Piping Plover Census","interactions":[],"lastModifiedDate":"2017-11-22T15:54:20","indexId":"ds922","displayToPublicDate":"2015-06-19T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"922","title":"Data from the 2011 International Piping Plover Census","docAbstract":"This report provides results from the 2011 International Census of Piping Plovers (Charadrius melodus). Distribution and abundance data for wintering and breeding Piping Plovers are summarized in tabular format. An appendix provides census data for every site surveyed in every state, province, and island. The 2011 winter census resulted in the observation of 3,973 Piping Plovers. Expanded coverage outside of the United States led to the discovery of more than 1,000 Piping Plovers wintering in the Bahamas. The breeding census detected 2,771 birds in Atlantic Canada and the Plains, Prairies, and Great Lakes regions of the United States and Canada. Combining the census count with the U.S. Atlantic “window census” provides a total minimum estimate of 5,723 breeding birds for the species.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds922","collaboration":"Report prepared jointly by the U.S. Geological Survey and Environment Canada. 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The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. Information on the availability, past and current use, use trends, and water quality from groundwater and surface-water sources in the parish is presented. Previously published reports and data stored in the U.S. Geological Survey’s National Water Information System (http://waterdata.usgs.gov/nwis) are the primary sources of the information presented here.
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\nA probabilistic mineral resource assessment of undiscovered resources associated with porphyry copper deposits in northeast Asia—composed mainly of Far East Russia and a small part of northeasternmost China—was completed as part of a global mineral resource assessment. Porphyry copper deposits are the main source of copper globally. Russia is an important source of copper, consistently ranking as 6th, 7th, or 8th in world production since 2000, and ranked 7th in 2014. Most of this production has been from magmatic copper-nickel-platinum-group element, volcanogenic massive sulfide, and sediment-hosted copper deposit types.
\nThe purpose of the assessment was to (1) compile a database of known deposits and significant prospects, (2) delineate permissive areas (tracts) for undiscovered porphyry copper deposits that may be present in the upper kilometer of the Earth’s crust, and (3) provide probabilistic estimates of amounts of copper (Cu), molybdenum (Mo), gold (Au), and silver (Ag) that could be contained in undiscovered porphyry copper deposits in the tracts. The assessment was completed by the U.S. Geological Survey in collaboration with geologists from the Russian Academy of Sciences and industry consultants.
\nThe database of known deposits, significant prospects, and prospects includes an inventory of mineral resources in two known porphyry copper deposits, as well as key characteristics derived from available exploration reports for 70 significant porphyry copper prospects and 86 other prospects. Resource and exploration and development activity are updated with information current through February 2013.
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color CCD camera with a macro lens mounted on a rotatable turret at the end of the 2-meters-long robotic arm aboard the Mars Science Laboratory rover, Curiosity. The camera includes white and longwave ultraviolet LEDs to illuminate targets at night. Onboard data processing services include focus stack merging and data compression. Here we report on the results and status of MAHLI characterization and calibration, covering the pre-launch period from August 2008 through the early months of the extended surface mission through February 2015. Since landing in Gale crater in August 2012, MAHLI has been used for a wide range of science and engineering applications, including distinction among a variety of mafic, siliciclastic sedimentary rocks; investigation of grain-scale rock, regolith, and eolian sediment textures and structures; imaging of the landscape; inspection and monitoring of rover and science instrument hardware concerns; and supporting geologic sample selection, extraction, analysis, delivery, and documentation. The camera has a dust cover and focus mechanism actuated by a single stepper motor. The transparent cover was coated with a thin film of dust during landing, thus MAHLI is usually operated with the cover open. The camera focuses over a range from a working distance of 2.04 cm to infinity; the highest resolution images are at 13.9 µm per pixel; images acquired from 6.9 cm show features at the same scale as the Mars Exploration Rover Microscopic Imagers at 31 µm/pixel; and 100 µm/pixel is achieved at a working distance of ~26.5 cm. The very highest resolution images returned from Mars permit distinction of high contrast silt grains in the 30–40 µm size range. MAHLI has performed well; the images need no calibration in order to achieve most of the investigation’s science and engineering goals. The positioning and repeatability of robotic arm placement of the MAHLI camera head have been excellent on Mars, often with the hardware arriving within millimeters of expectation. Stability while imaging is usually such that the images are sharply focused; some exceptions—thought to result from motion induced by wind—have occurred during longer exposure LED-illuminated night imaging. Image calibration includes relative radiometric correction by removal of dark current and application of a flat field. Dark current is negligible to minor for typical daytime exposure durations and temperatures at the Gale field site. A pre-launch flat field product is usually applied to the data but new products created from images acquired by MAHLI of the Martian sky are superior and can provide a relative radiometric accuracy of ~6%. The camera lens imparts negligible distortion to its images; camera models derived from pre-launch data, with CAHV and CAHVOR parameters captured in their archived labels, can be applied to the images for analysis. MAHLI data and derived products, including pre-launch images, are archived with the NASA Planetary Data System (PDS). This report includes supplementary calibration and characterization data that are not available in the PDS archive (see supplement file MAHLITechRept0001_Supplement.zip).
","language":"English","publisher":"Mars Science Laboratory","doi":"10.13140/RG.2.1.3798.5447","usgsCitation":"Edgett, K., Caplinger, M.A., Maki, J.N., Ravine, M.A., Ghaemi, F., McNair, S., Herkenhoff, K.E., Duston, B.M., Wilson, R.G., Yingst, R.A., Kennedy, M.R., Minitti, M.E., Sengstacken, A.J., Supulver, K.D., Lipkaman, L.J., Krezoski, G.M., McBride, M.J., Jones, T.L., Nixon, B.E., Van Beek, J., Krysak, D.J., and Kirk, R.L., 2015, Curiosity’s robotic arm-mounted Mars Hand Lens Imager (MAHLI): Characterization and calibration status: MSL MAHLI Technical Report 0001, 102 p., https://doi.org/10.13140/RG.2.1.3798.5447.","productDescription":"102 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063280","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":320167,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"571756b0e4b0ef3b7caa5fc1","contributors":{"authors":[{"text":"Edgett, Kenneth S.","contributorId":12736,"corporation":false,"usgs":true,"family":"Edgett","given":"Kenneth S.","affiliations":[],"preferred":false,"id":622188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caplinger, Michael A.","contributorId":70635,"corporation":false,"usgs":true,"family":"Caplinger","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":623137,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maki, Justin N.","contributorId":30498,"corporation":false,"usgs":true,"family":"Maki","given":"Justin","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":623138,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ravine, Michael A.","contributorId":105959,"corporation":false,"usgs":true,"family":"Ravine","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":623139,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ghaemi, F. Tony","contributorId":90586,"corporation":false,"usgs":true,"family":"Ghaemi","given":"F. Tony","affiliations":[],"preferred":false,"id":623140,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McNair, Sean","contributorId":167688,"corporation":false,"usgs":false,"family":"McNair","given":"Sean","email":"","affiliations":[{"id":24734,"text":"Malin Space Science Systems, San Diego","active":true,"usgs":false}],"preferred":false,"id":623141,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663 kherkenhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":2275,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth","email":"kherkenhoff@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":622187,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Duston, Brian M.","contributorId":167689,"corporation":false,"usgs":false,"family":"Duston","given":"Brian","email":"","middleInitial":"M.","affiliations":[{"id":24734,"text":"Malin Space Science Systems, San Diego","active":true,"usgs":false}],"preferred":false,"id":623142,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wilson, Reg G.","contributorId":72250,"corporation":false,"usgs":true,"family":"Wilson","given":"Reg","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":623143,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yingst, R. Aileen","contributorId":52827,"corporation":false,"usgs":true,"family":"Yingst","given":"R.","email":"","middleInitial":"Aileen","affiliations":[],"preferred":false,"id":623144,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kennedy, Megan R.","contributorId":19474,"corporation":false,"usgs":true,"family":"Kennedy","given":"Megan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":623145,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Minitti, Michelle E.","contributorId":19422,"corporation":false,"usgs":true,"family":"Minitti","given":"Michelle","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":623146,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sengstacken, Aaron J.","contributorId":66114,"corporation":false,"usgs":true,"family":"Sengstacken","given":"Aaron","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":623147,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Supulver, Kimberley D.","contributorId":167690,"corporation":false,"usgs":false,"family":"Supulver","given":"Kimberley","email":"","middleInitial":"D.","affiliations":[{"id":24734,"text":"Malin Space Science Systems, San Diego","active":true,"usgs":false}],"preferred":false,"id":623148,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lipkaman, Leslie J.","contributorId":167691,"corporation":false,"usgs":false,"family":"Lipkaman","given":"Leslie","email":"","middleInitial":"J.","affiliations":[{"id":24734,"text":"Malin Space Science Systems, San Diego","active":true,"usgs":false}],"preferred":false,"id":623149,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Krezoski, Gillian M.","contributorId":167692,"corporation":false,"usgs":false,"family":"Krezoski","given":"Gillian","email":"","middleInitial":"M.","affiliations":[{"id":24734,"text":"Malin Space Science Systems, San Diego","active":true,"usgs":false}],"preferred":false,"id":623150,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"McBride, Marie J.","contributorId":167693,"corporation":false,"usgs":false,"family":"McBride","given":"Marie","email":"","middleInitial":"J.","affiliations":[{"id":24734,"text":"Malin Space Science Systems, San Diego","active":true,"usgs":false}],"preferred":false,"id":623151,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Jones, Tessa L.","contributorId":167694,"corporation":false,"usgs":false,"family":"Jones","given":"Tessa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":623152,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Nixon, Brian E.","contributorId":167695,"corporation":false,"usgs":false,"family":"Nixon","given":"Brian","email":"","middleInitial":"E.","affiliations":[{"id":24734,"text":"Malin Space Science Systems, San Diego","active":true,"usgs":false}],"preferred":false,"id":622189,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Van Beek, Jason K.","contributorId":167696,"corporation":false,"usgs":false,"family":"Van Beek","given":"Jason K.","affiliations":[{"id":24734,"text":"Malin Space Science Systems, San Diego","active":true,"usgs":false}],"preferred":false,"id":623153,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Krysak, Daniel J.","contributorId":167697,"corporation":false,"usgs":false,"family":"Krysak","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":24734,"text":"Malin Space Science Systems, San Diego","active":true,"usgs":false}],"preferred":false,"id":623154,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":623155,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}} ,{"id":70155898,"text":"70155898 - 2015 - Estimating population size for Capercaillie (Tetrao urogallus L.) with spatial capture-recapture models based on genotypes from one field sample","interactions":[],"lastModifiedDate":"2015-08-17T10:32:35","indexId":"70155898","displayToPublicDate":"2015-06-18T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Estimating population size for Capercaillie (Tetrao urogallus L.) with spatial capture-recapture models based on genotypes from one field sample","docAbstract":"We conducted a survey of an endangered and cryptic forest grouse, the capercaillie Tetrao urogallus, based on droppings collected on two sampling occasions in eight forest fragments in central Switzerland in early spring 2009. We used genetic analyses to sex and individually identify birds. We estimated sex-dependent detection probabilities and population size using a modern spatial capture-recapture (SCR) model for the data from pooled surveys. A total of 127 capercaillie genotypes were identified (77 males, 46 females, and 4 of unknown sex). The SCR model yielded atotal population size estimate (posterior mean) of 137.3 capercaillies (posterior sd 4.2, 95% CRI 130–147). The observed sex ratio was skewed towards males (0.63). The posterior mean of the sex ratio under the SCR model was 0.58 (posterior sd 0.02, 95% CRI 0.54–0.61), suggesting a male-biased sex ratio in our study area. A subsampling simulation study indicated that a reduced sampling effort representing 75% of the actual detections would still yield practically acceptable estimates of total size and sex ratio in our population. Hence, field work and financial effort could be reduced without compromising accuracy when the SCR model is used to estimate key population parameters of cryptic species.
","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0129020","usgsCitation":"Mollet, P., Kery, M., Gardner, B., Pasinelli, G., and Royle, A., 2015, Estimating population size for Capercaillie (Tetrao urogallus L.) with spatial capture-recapture models based on genotypes from one field sample: PLoS ONE, v. 10, no. 6, p. 1-16, https://doi.org/10.1371/journal.pone.0129020.","productDescription":"16 p.","startPage":"1","endPage":"16","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065910","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":472006,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0129020","text":"Publisher Index Page"},{"id":306781,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-18","publicationStatus":"PW","scienceBaseUri":"55d305b2e4b0518e35468cf5","contributors":{"authors":[{"text":"Mollet, Pierre","contributorId":146551,"corporation":false,"usgs":false,"family":"Mollet","given":"Pierre","email":"","affiliations":[],"preferred":false,"id":568217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kery, Marc","contributorId":38680,"corporation":false,"usgs":true,"family":"Kery","given":"Marc","affiliations":[],"preferred":false,"id":568218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":568219,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pasinelli, Gilberto","contributorId":146552,"corporation":false,"usgs":false,"family":"Pasinelli","given":"Gilberto","email":"","affiliations":[],"preferred":false,"id":568220,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":566695,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70148596,"text":"70148596 - 2015 - Improved rapid magnitude estimation for a community-based, low-cost MEMS accelerometer network","interactions":[],"lastModifiedDate":"2017-01-11T16:10:20","indexId":"70148596","displayToPublicDate":"2015-06-17T12:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Improved rapid magnitude estimation for a community-based, low-cost MEMS accelerometer network","docAbstract":"Immediately following the Mw 7.2 Darfield, New Zealand, earthquake, over 180 Quake‐Catcher Network (QCN) low‐cost micro‐electro‐mechanical systems accelerometers were deployed in the Canterbury region. Using data recorded by this dense network from 2010 to 2013, we significantly improved the QCN rapid magnitude estimation relationship. The previous scaling relationship (Lawrence et al., 2014) did not accurately estimate the magnitudes of nearby (<35 km) events. The new scaling relationship estimates earthquake magnitudes within 1 magnitude unit of the GNS Science GeoNet earthquake catalog magnitudes for 99% of the events tested, within 0.5 magnitude units for 90% of the events, and within 0.25 magnitude units for 57% of the events. These magnitudes are reliably estimated within 3 s of the initial trigger recorded on at least seven stations. In this report, we present the methods used to calculate a new scaling relationship and demonstrate the accuracy of the revised magnitude estimates using a program that is able to retrospectively estimate event magnitudes using archived data.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120140232","usgsCitation":"Chung, A., Cochran, E.S., Kaiser, A.E., Christensen, C.M., Yildirim, B., and Lawrence, J.F., 2015, Improved rapid magnitude estimation for a community-based, low-cost MEMS accelerometer network: Bulletin of the Seismological Society of America, v. 105, no. 3, p. 1314-1323, https://doi.org/10.1785/0120140232.","productDescription":"10 p.","startPage":"1314","endPage":"1323","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058446","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":301277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-20","publicationStatus":"PW","scienceBaseUri":"55828c22e4b023124e8f3fa6","contributors":{"authors":[{"text":"Chung, Angela","contributorId":141196,"corporation":false,"usgs":false,"family":"Chung","given":"Angela","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":548810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":548809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaiser, Anna E.","contributorId":141200,"corporation":false,"usgs":false,"family":"Kaiser","given":"Anna","email":"","middleInitial":"E.","affiliations":[{"id":6956,"text":"GNS Science/Massey University","active":true,"usgs":false}],"preferred":false,"id":548811,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Christensen, Carl M.","contributorId":141197,"corporation":false,"usgs":false,"family":"Christensen","given":"Carl","email":"","middleInitial":"M.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":548812,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yildirim, Battalgazi","contributorId":141195,"corporation":false,"usgs":false,"family":"Yildirim","given":"Battalgazi","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":548813,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lawrence, Jesse F.","contributorId":141198,"corporation":false,"usgs":false,"family":"Lawrence","given":"Jesse","email":"","middleInitial":"F.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":548814,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70148577,"text":"70148577 - 2015 - Encapsulating model complexity and landscape-scale analyses of state-and-transition simulation models: an application of ecoinformatics and juniper encroachment in sagebrush steppe ecosystems","interactions":[],"lastModifiedDate":"2015-09-16T09:27:50","indexId":"70148577","displayToPublicDate":"2015-06-17T12:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3893,"text":"AIMS Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"Encapsulating model complexity and landscape-scale analyses of state-and-transition simulation models: an application of ecoinformatics and juniper encroachment in sagebrush steppe ecosystems","docAbstract":"State-and-transition simulation modeling relies on knowledge of vegetation composition and structure (states) that describe community conditions, mechanistic feedbacks such as fire that can affect vegetation establishment, and ecological processes that drive community conditions as well as the transitions between these states. However, as the need for modeling larger and more complex landscapes increase, a more advanced awareness of computing resources becomes essential. The objectives of this study include identifying challenges of executing state-and-transition simulation models, identifying common bottlenecks of computing resources, developing a workflow and software that enable parallel processing of Monte Carlo simulations, and identifying the advantages and disadvantages of different computing resources. To address these objectives, this study used the ApexRMS® SyncroSim software and embarrassingly parallel tasks of Monte Carlo simulations on a single multicore computer and on distributed computing systems. The results demonstrated that state-and-transition simulation models scale best in distributed computing environments, such as high-throughput and high-performance computing, because these environments disseminate the workloads across many compute nodes, thereby supporting analysis of larger landscapes, higher spatial resolution vegetation products, and more complex models. Using a case study and five different computing environments, the top result (high-throughput computing versus serial computations) indicated an approximate 96.6% decrease of computing time. With a single, multicore compute node (bottom result), the computing time indicated an 81.8% decrease relative to using serial computations. These results provide insight into the tradeoffs of using different computing resources when research necessitates advanced integration of ecoinformatics incorporating large and complicated data inputs and models. - See more at: http://aimspress.com/aimses/ch/reader/view_abstract.aspx?file_no=Environ2015030&flag=1#sthash.p1XKDtF8.dpuf
","language":"English","publisher":"AIMS Press","doi":"10.3934/environsci.2015.3.464","usgsCitation":"O’Donnell, M.S., 2015, Encapsulating model complexity and landscape-scale analyses of state-and-transition simulation models: an application of ecoinformatics and juniper encroachment in sagebrush steppe ecosystems: AIMS Environmental Science, v. 2, no. 3, p. 464-493, https://doi.org/10.3934/environsci.2015.3.464.","productDescription":"30 p.","startPage":"464","endPage":"493","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062986","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":472008,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3934/environsci.2015.3.464","text":"Publisher Index Page"},{"id":301276,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55828c21e4b023124e8f3fa0","contributors":{"authors":[{"text":"O’Donnell, Michael S. 0000-0002-3488-003X odonnellm@usgs.gov","orcid":"https://orcid.org/0000-0002-3488-003X","contributorId":140876,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Michael","email":"odonnellm@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":548708,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70148578,"text":"70148578 - 2015 - Geochemistry of magnetite from porphyry Cu and skarn deposits in the southwestern United States","interactions":[],"lastModifiedDate":"2015-06-17T10:48:24","indexId":"70148578","displayToPublicDate":"2015-06-17T11:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2746,"text":"Mineralium Deposita","active":true,"publicationSubtype":{"id":10}},"title":"Geochemistry of magnetite from porphyry Cu and skarn deposits in the southwestern United States","docAbstract":"A combination of petrographic observations, laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS), and statistical data exploration was used in this study to determine compositional variations in hydrothermal and igneous magnetite from five porphyry Cu–Mo and skarn deposits in the southwestern United States, and igneous magnetite from the unmineralized, granodioritic Inner Zone Batholith, Japan. The most important overall discriminators for the minor and trace element chemistry of magnetite from the investigated porphyry and skarn deposits are Mg, Al, Ti, V, Mn, Co, Zn, and Ga—of these the elements with the highest variance for (I) igneous magnetite are Mg, Al, Ti, V, Mn, Zn, for (II) hydrothermal porphyry magnetite are Mg, Ti, V, Mn, Co, Zn, and for (III) hydrothermal skarn magnetite are Mg, Ti, Mn, Zn, and Ga. Nickel could only be detected at levels above the limit of reporting (LOR) in two igneous magnetites. Equally, Cr could only be detected in one igneous occurrence. Copper, As, Mo, Ag, Au, and Pb have been reported in magnetite by other authors but could not be detected at levels greater than their respective LORs in our samples. Comparison with the chemical signature of igneous magnetite from the barren Inner Zone Batholith, Japan, suggests that V, Mn, Co, and Ga concentrations are relatively depleted in magnetite from the porphyry and skarn deposits. Higher formation conditions in combination with distinct differences between melt and hydrothermal fluid compositions are reflected in Al, Ti, V, and Ga concentrations that are, on average, higher in igneous magnetite than in hydrothermal magnetite (including porphyry and skarn magnetite). Low Ti and V concentrations in combination with high Mn concentrations are characteristic features of magnetite from skarn deposits. High Mg concentrations (<1,000 ppm) are characteristic for magnetite from magnesian skarn and likely reflect extensive fluid/rock interaction. In porphyry deposits, hydrothermal magnetite from different vein types can be distinguished by varying Ti, V, Mn, and Zn contents. Titanium and V concentrations are highly variable among hydrothermal and igneous magnetites, but Ti concentrations above 3,560 ppm could only be detected in igneous magnetite, and V concentrations are on average lower in hydrothermal magnetite. The highest Ti concentrations are present in igneous magnetite from gabbro and monzonite. The lowest Ti concentrations were recorded in igneous magnetite from granodiorite and granodiorite breccia and largely overlap with Ti concentrations found in hydrothermal porphyry magnetite. Magnesium and Mn concentrations vary between magnetite from different skarn deposits but are generally greater than in hydrothermal magnetite from the porphyry deposits. High Mg, and low Ti and V concentrations characterize hydrothermal magnetite from magnesian skarn deposits and follow a trend that indicates that magnetite from skarn (calcic and magnesian) commonly has low Ti and V concentrations.
","language":"English","publisher":"Springer","doi":"10.1007/s00126-014-0539-y","usgsCitation":"Nadoll, P., Mauk, J.L., LeVeille, R.A., and Koenig, A.E., 2015, Geochemistry of magnetite from porphyry Cu and skarn deposits in the southwestern United States: Mineralium Deposita, v. 50, no. 4, p. 493-515, https://doi.org/10.1007/s00126-014-0539-y.","productDescription":"23 p.","startPage":"493","endPage":"515","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045865","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":301272,"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 -110.9619140625,\n 32.91648534731439\n ],\n [\n -110.9619140625,\n 34.56085936708384\n ],\n [\n -106.8310546875,\n 34.56085936708384\n ],\n [\n -106.8310546875,\n 32.91648534731439\n ],\n [\n -110.9619140625,\n 32.91648534731439\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"50","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-08-23","publicationStatus":"PW","scienceBaseUri":"55828c22e4b023124e8f3fa4","contributors":{"authors":[{"text":"Nadoll, Patrick","contributorId":106407,"corporation":false,"usgs":true,"family":"Nadoll","given":"Patrick","affiliations":[],"preferred":false,"id":548710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mauk, Jeffrey L. 0000-0002-6244-2774 jmauk@usgs.gov","orcid":"https://orcid.org/0000-0002-6244-2774","contributorId":4101,"corporation":false,"usgs":true,"family":"Mauk","given":"Jeffrey","email":"jmauk@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":548709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LeVeille, Richard A.","contributorId":141177,"corporation":false,"usgs":false,"family":"LeVeille","given":"Richard","email":"","middleInitial":"A.","affiliations":[{"id":13705,"text":"Freeport McMoRan Copper & Gold Inc.","active":true,"usgs":false}],"preferred":false,"id":548711,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koenig, Alan E. 0000-0002-5230-0924 akoenig@usgs.gov","orcid":"https://orcid.org/0000-0002-5230-0924","contributorId":1564,"corporation":false,"usgs":true,"family":"Koenig","given":"Alan","email":"akoenig@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":548712,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70148582,"text":"70148582 - 2015 - Running a network on a shoestring: the Global Invasive Species Information Network","interactions":[],"lastModifiedDate":"2018-08-10T16:26:52","indexId":"70148582","displayToPublicDate":"2015-06-17T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Running a network on a shoestring: the Global Invasive Species Information Network","docAbstract":"The Global Invasive Species Information Network (GISIN) was conceptualized in 2004 to aggregate and disseminate invasive species data in a standardized way. A decade later the GISIN community has implemented a data portal and three of six GISIN data aggregation models in the GISIN data exchange Protocol, including invasive species status information, resource URLs, and occurrence data. The portal is based on a protocol developed by representatives from 15 countries and 27 organizations of the global invasive species information management community. The GISIN has 19 data providers sharing 34,343 species status records, 1,693,073 occurrences, and 15,601 resource URLs. While the GISIN's goal is to be global, much of its data and funding are provided by the United States. Several initiatives use the GISIN as their information backbone, such as the Great Lakes Early Detection Network (GLEDN) and the North American Invasive Species Network (NAISN). Here we share several success stories and organizational challenges that remain.
","language":"English","publisher":"The Regional Euro-Asian Biological Invasions Centre","doi":"10.3391/mbi.2015.6.2.04","usgsCitation":"Jarnevich, C.S., Simpson, A., Graham, J.J., Newman, G.J., and Bargeron, C.T., 2015, Running a network on a shoestring: the Global Invasive Species Information Network: Management of Biological Invasions, v. 6, no. 2, p. 137-146, https://doi.org/10.3391/mbi.2015.6.2.04.","productDescription":"10 p.","startPage":"137","endPage":"146","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061163","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":472009,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2015.6.2.04","text":"Publisher Index Page"},{"id":301269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55828c23e4b023124e8f3fb0","contributors":{"authors":[{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":548742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simpson, Annie 0000-0001-8338-5134 asimpson@usgs.gov","orcid":"https://orcid.org/0000-0001-8338-5134","contributorId":127,"corporation":false,"usgs":true,"family":"Simpson","given":"Annie","email":"asimpson@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":548743,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, James J","contributorId":141180,"corporation":false,"usgs":false,"family":"Graham","given":"James","email":"","middleInitial":"J","affiliations":[{"id":7067,"text":"Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":548744,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newman, Gregory J.","contributorId":19487,"corporation":false,"usgs":true,"family":"Newman","given":"Gregory","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":548745,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bargeron, Chuck T.","contributorId":141181,"corporation":false,"usgs":false,"family":"Bargeron","given":"Chuck","email":"","middleInitial":"T.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":548746,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70148580,"text":"70148580 - 2015 - The role of benefit transfer in ecosystem service valuation","interactions":[],"lastModifiedDate":"2015-06-17T10:38:18","indexId":"70148580","displayToPublicDate":"2015-06-17T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1453,"text":"Ecological Economics","active":true,"publicationSubtype":{"id":10}},"title":"The role of benefit transfer in ecosystem service valuation","docAbstract":"The demand for timely monetary estimates of the economic value of nonmarket ecosystem goods and services has steadily increased over the last few decades. This article describes the use of benefit transfer to generate monetary value estimates of ecosystem services specifically. The article provides guidance for conducting such benefit transfers and summarizes advancements in benefit transfer methods, databases and analysis tools designed to facilitate its application.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolecon.2014.02.018","usgsCitation":"Richardson, L.A., Loomis, J., Kroeger, T., and Casey, F., 2015, The role of benefit transfer in ecosystem service valuation: Ecological Economics, v. 115, p. 51-58, https://doi.org/10.1016/j.ecolecon.2014.02.018.","productDescription":"8 p.","startPage":"51","endPage":"58","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051458","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":301271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55828c25e4b023124e8f3fb4","contributors":{"authors":[{"text":"Richardson, Leslie A. lrichardson@usgs.gov","contributorId":4810,"corporation":false,"usgs":true,"family":"Richardson","given":"Leslie","email":"lrichardson@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":548734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loomis, John","contributorId":60746,"corporation":false,"usgs":true,"family":"Loomis","given":"John","affiliations":[],"preferred":false,"id":548735,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kroeger, Timm","contributorId":17165,"corporation":false,"usgs":true,"family":"Kroeger","given":"Timm","affiliations":[],"preferred":false,"id":548737,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Casey, Frank ccasey@usgs.gov","contributorId":95821,"corporation":false,"usgs":true,"family":"Casey","given":"Frank","email":"ccasey@usgs.gov","affiliations":[],"preferred":false,"id":548799,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70150427,"text":"70150427 - 2015 - Two tickets to paradise: multiple dispersal events in the founding of hoary bat populations in Hawai'i","interactions":[],"lastModifiedDate":"2018-01-04T12:43:36","indexId":"70150427","displayToPublicDate":"2015-06-17T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Two tickets to paradise: multiple dispersal events in the founding of hoary bat populations in Hawai'i","docAbstract":"The Hawaiian islands are an extremely isolated oceanic archipelago, and their fauna has long served as models of dispersal in island biogeography. While molecular data have recently been applied to investigate the timing and origin of dispersal events for several animal groups including birds, insects, and snails, these questions have been largely unaddressed in Hawai'i's only native terrestrial mammal, the Hawaiian hoary bat, Lasiurus cinereus semotus. Here, we use molecular data to test the hypotheses that (1) Hawaiian L. c. semotus originated via dispersal from North American populations of L. c. cinereus rather than from South American L. c. villosissimus, and (2) modern Hawaiian populations were founded from a single dispersal event. Contrary to the latter hypothesis, our mitochondrial data support a biogeographic history of multiple, relatively recent dispersals of hoary bats from North America to the Hawaiian islands. Coalescent demographic analyses of multilocus data suggest that modern populations of Hawaiian hoary bats were founded no more than 10 kya. Our finding of multiple evolutionarily significant units in Hawai'i highlights information that should be useful for re-evaluation of the conservation status of hoary bats in Hawai'i.
","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0127912","collaboration":"US Fish and Wildlife Service;\nHawaii Department of Forestry and Wildlife","usgsCitation":"Russell, A.L., Pinzari, C., Vonhof, M.J., Olival, K.J., and Bonaccorso, F., 2015, Two tickets to paradise: multiple dispersal events in the founding of hoary bat populations in Hawai'i: PLoS ONE, v. 6, no. 10, p. 1-13, https://doi.org/10.1371/journal.pone.0127912.","productDescription":"13 p.","startPage":"1","endPage":"13","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064494","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":472011,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0127912","text":"Publisher Index Page"},{"id":305426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-17","publicationStatus":"PW","scienceBaseUri":"55925e5ae4b0b6d21dd6767b","contributors":{"authors":[{"text":"Russell, Amy L.","contributorId":143710,"corporation":false,"usgs":false,"family":"Russell","given":"Amy","email":"","middleInitial":"L.","affiliations":[{"id":15305,"text":"Grand Valley State University","active":true,"usgs":false}],"preferred":false,"id":556867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pinzari, Corinna A.","contributorId":57359,"corporation":false,"usgs":true,"family":"Pinzari","given":"Corinna A.","affiliations":[],"preferred":false,"id":556868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vonhof, Maarten J.","contributorId":143711,"corporation":false,"usgs":false,"family":"Vonhof","given":"Maarten","email":"","middleInitial":"J.","affiliations":[{"id":15306,"text":"Western Michigan University","active":true,"usgs":false}],"preferred":false,"id":556869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olival, Kevin J.","contributorId":143712,"corporation":false,"usgs":false,"family":"Olival","given":"Kevin","email":"","middleInitial":"J.","affiliations":[{"id":7118,"text":"EcoHealth Alliance","active":true,"usgs":false}],"preferred":false,"id":556870,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bonaccorso, Frank 0000-0002-5490-3083 fbonaccorso@usgs.gov","orcid":"https://orcid.org/0000-0002-5490-3083","contributorId":143709,"corporation":false,"usgs":true,"family":"Bonaccorso","given":"Frank","email":"fbonaccorso@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":556866,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70148337,"text":"ofr20151062 - 2015 - Framework for a hydrologic climate-response network in New England","interactions":[],"lastModifiedDate":"2015-06-17T09:22:03","indexId":"ofr20151062","displayToPublicDate":"2015-06-17T10:15:00","publicationYear":"2015","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":"2015-1062","title":"Framework for a hydrologic climate-response network in New England","docAbstract":"Many climate-related hydrologic variables in New England have changed in the past century, and many are expected to change during the next century. It is important to understand and monitor these changes because they can affect human water supply, hydroelectric power generation, transportation infrastructure, and stream and riparian ecology. This report describes a framework for hydrologic monitoring in New England by means of a climate-response network. The framework identifies specific inland hydrologic variables that are sensitive to climate variation; identifies geographic regions with similar hydrologic responses; proposes a fixed-station monitoring network composed of existing streamflow, groundwater, lake ice, snowpack, and meteorological data-collection stations for evaluation of hydrologic response to climate variation; and identifies streamflow basins for intensive, process-based studies and for estimates of future hydrologic conditions.
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The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data, acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology.
\nThe Offshore of Salt Point map area is located in northern California, about 110 km north of San Francisco and 50 km south of Point Arena. The map area includes three California Marine Protected Areas: the southern portion of the Stewarts Point State Marine Reserve, the Salt Point State Marine Conservation Area, and the Gerstle Cove State Marine Reserve. The coast and shoreline are rugged and scenic, characterized by rocky promontories, steep bluffs capped by bare to forested marine terraces, kelp-rich coves, and nearshore rocks and pinnacles. The largely undeveloped onshore part of the map area is used primarily for grazing and recreation. U.S. Highway 1 extends along the coast through the map area, passing through Salt Point State Park, Kruse Rhododendron State Natural Reserve, and Stillwater Cove Regional Park. Sandy beaches are uncommon, present only in relatively protected coves.
\nThe seafloor in the map area extends from the shoreline to water depths of about 90 to 100 m. The nearshore to inner shelf area (to water depths of about 50 to 60 m) typically dips seaward about 1.0° to 1.5° and is underlain by bedrock and sand-sized to coarser grained sediment. The midshelf, underlain predominantly by muddy sediments, slopes more gently (less than 0.5°). Surficial and shallow sediments were deposited in the last about 21,000 years during the approximately 125-m sea-level rise that followed the last major lowstand associated with the Last Glacial Maximum, at which time the entire Offshore of Salt Point map area was emergent and the shoreline was about 20 km west of the present-day shoreline.
\nTectonic influences that impact the shelf morphology and geology in the map area are related to local faulting, folding, uplift, and subsidence. The onshore part of the map area is cut by the northwest-striking San Andreas Fault—the right-lateral transform boundary between the North American and Pacific tectonic plates with an estimated slip rate of about 17 to 25 mm/yr in this area. The region between Fort Ross and Point Arena, west of the San Andreas Fault, is the known as the “Gualala Block” on the basis of its distinctive geology. The Gualala Block consists of a thick, discontinuous Upper Cretaceous to Miocene stratigraphic section, however, only the submarine fan deposits of the Paleocene and Eocene German Rancho Formation are exposed along the coast in the Offshore of Salt Point map area. The German Rancho Formation also forms all of the rugged seafloor bedrock outcrops in the map area. The western boundary of the Gualala Block lies 3 to 5 km offshore, perhaps at the shore-parallel Gualala Fault. High-resolution seismic-reflection data reveal shallow folding and faulting in inferred upper Pleistocene strata along the Gualala Fault trend, suggesting this structure is now or has been recently active. The last ground rupture in the map area occurred during the devastating great 1906 California earthquake (M7.8, 4/18/1906), thought to have nucleated on the San Andreas Fault about 100 kilometers to the south offshore of San Francisco.
\nCirculation over the continental shelf in the map area is dominated by the southward-flowing California Current, the eastern limb of the North Pacific Gyre. Associated upwelling brings cool, nutrient-rich waters to the surface, resulting in high biological productivity. The current flow generally is southeastward during the spring and summer; however, during the fall and winter, the otherwise persistent northwest winds are sometimes weak or absent, causing the California Current to move farther offshore and the Davidson Current, a weaker, northward-flowing countercurrent, to become active.
\nThroughout the year, this part of the central California coast is exposed to four wave climate regimes: the north Pacific swell, the southern swell, northwest wind waves, and local wind waves. The north Pacific swell dominates in winter months, with wave heights at offshore buoys ranging from 2 to 10 m and wave periods ranging from 10 to 25 s. During summer months, the largest waves come from the southern swell, generated by storms in the south Pacific and offshore Central America. Characteristically, these swells have smaller wave heights (0.3 to 3 m) and similarly long periods (range 10 to 25 s). Northwest wind waves affect the coast throughout the year, while local wind waves are most common from October to April. These two wind-wave regimes typically have wave heights of 1 to 4 m and short periods (3 to 10 s).
\nPotential marine benthic habitats in the Offshore of Salt Point map area include unconsolidated continental shelf sediments, mixed continental shelf substrate, and hard continental shelf substrate. Rocky-shelf outcrops and rubble are considered to be promising potential habitats for rockfish and lingcod, both of which are recreationally and commercially important species.
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With increased runoff in the past few decades, phosphorus flux (the amount of phosphorus transported by the river) has increased. This is a concern, especially with respect to Lake Winnipeg, an important inland fishery and recreational destination. There is pressure at the State and International levels to reduce phosphorus flux, an expensive proposition. Depending on the method (controlling sources, settling ponds, buffer strips), control of phosphorus flux is not always effective during spring runoff. This work represents a first step in developing a causal model for phosphorus flux by examining available data and changes in concentration over time. Total phosphorus concentration data for the Red River at Emerson, Manitoba, and at Fargo, North Dakota-Moorhead, Minnesota, were summarized and then analyzed using WRTDS (Weighted Regressions on Time, Discharge, and Season) to describe total phosphorus changes over time in two analysis periods: 1970-1993 and 1993-2012. Total phosphorus concentration increased in the first period at Emerson, Manitoba, indicating phosphorus was likely being transported to streams during runoff events. A very different pattern occurred at Fargo-Moorhead with declines in concentration, except at high discharge. While concentration continually changes, during the second period it decreased during spring runoff at Emerson and Fargo-Moorhead and during the growing season at Fargo-Moorhead, perhaps because of improved agricultural practices and declines in some uses of phosphorus.
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PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-10","publicationStatus":"PW","scienceBaseUri":"593ad6e2e4b0764e6c602153","contributors":{"authors":[{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":546846,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Akyuz, F. Adnan","contributorId":140760,"corporation":false,"usgs":false,"family":"Akyuz","given":"F.","email":"","middleInitial":"Adnan","affiliations":[{"id":13555,"text":"North Dakota Climate Office","active":true,"usgs":false}],"preferred":false,"id":546847,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lin, Wei","contributorId":93805,"corporation":false,"usgs":true,"family":"Lin","given":"Wei","email":"","affiliations":[],"preferred":false,"id":546848,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189936,"text":"70189936 - 2015 - Measurements of the initiation of post-wildfire runoff during rainstorms using in situ overland flow detectors","interactions":[],"lastModifiedDate":"2017-07-31T09:02:59","indexId":"70189936","displayToPublicDate":"2015-06-17T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Measurements of the initiation of post-wildfire runoff during rainstorms using in situ overland flow detectors","title":"Measurements of the initiation of post-wildfire runoff during rainstorms using in situ overland flow detectors","docAbstract":"Overland flow detectors (OFDs) were deployed in 2012 on a hillslope burned by the 2010 Fourmile Canyon fire near Boulder, Colorado, USA. These detectors were simple, electrical resistor-type instruments that output a voltage (0–2·5 V) and were designed to measure and record the time of runoff initiation, a signal proportional to water depth, and the runoff hydrograph during natural convective rainstorms.
Initiation of runoff was found to be spatially complex and began at different times in different locations on the hillslope. Runoff started first at upstream detectors 56% of the time, at the mid-stream detectors 6%, and at the downstream detectors 38% of the time. Initiation of post-wildfire runoff depended on the time-to-ponding, travel time between points, and the time to fill surface depression storage. These times ranged from 0·5–54, 0·4–1·1, and 0·2–14 minutes, respectively, indicating the importance of the ponding process in controlling the initiation of runoff at this site. Time-to-ponding was modeled as a function of the rainfall acceleration (i.e. the rate of change of rainfall intensity) and either the cumulative rainfall at the start of runoff or the soil–water deficit.
Measurements made by the OFDs provided physical insight into the spatial and temporal initiation of post-wildfire runoff during unsteady flow in response to time varying natural rainfall. They also provided data that can be telemetered and used to determine critical input parameters for hydrologic rainfall–runoff models.
","language":"English","publisher":"Wiley","doi":"10.1002/esp.3704","usgsCitation":"Moody, J.A., and Martin, R., 2015, Measurements of the initiation of post-wildfire runoff during rainstorms using in situ overland flow detectors: Earth Surface Processes and Landforms, v. 40, no. 8, p. 1043-1056, https://doi.org/10.1002/esp.3704.","productDescription":"14 p.","startPage":"1043","endPage":"1056","ipdsId":"IP-061823","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-28","publicationStatus":"PW","scienceBaseUri":"5980419be4b0a38ca2789349","contributors":{"authors":[{"text":"Moody, John A. 0000-0003-2609-364X jamoody@usgs.gov","orcid":"https://orcid.org/0000-0003-2609-364X","contributorId":771,"corporation":false,"usgs":true,"family":"Moody","given":"John","email":"jamoody@usgs.gov","middleInitial":"A.","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":706815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Richard G.","contributorId":195347,"corporation":false,"usgs":false,"family":"Martin","given":"Richard G.","affiliations":[],"preferred":false,"id":706816,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173509,"text":"70173509 - 2015 - Repeated count surveys help standardize multi-agency estimates of American Oystercatcher (Haematopus palliatus) abundance","interactions":[],"lastModifiedDate":"2016-06-16T16:10:58","indexId":"70173509","displayToPublicDate":"2015-06-17T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Repeated count surveys help standardize multi-agency estimates of American Oystercatcher (Haematopus palliatus) abundance","docAbstract":"The extensive breeding range of many shorebird species can make integration of survey data problematic at regional spatial scales. We evaluated the effectiveness of standardized repeated count surveys coordinated across 8 agencies to estimate the abundance of American Oystercatcher (Haematopus palliatus) breeding pairs in the southeastern United States. Breeding season surveys were conducted across coastal North Carolina (90 plots) and the Eastern Shore of Virginia (3 plots). Plots were visited on 1–5 occasions during April–June 2013. N-mixture models were used to estimate abundance and detection probability in relation to survey date, tide stage, plot size, and plot location (coastal bay vs. barrier island). The estimated abundance of oystercatchers in the surveyed area was 1,048 individuals (95% credible interval: 851–1,408) and 470 pairs (384–637), substantially higher than estimates that did not account for detection probability (maximum counts of 674 individuals and 316 pairs). Detection probability was influenced by a quadratic function of survey date, and increased from mid-April (~0.60) to mid-May (~0.80), then remained relatively constant through June. Detection probability was also higher during high tide than during low, rising, or falling tides. Abundance estimates from N-mixture models were validated at 13 plots by exhaustive productivity studies (2–5 surveys wk−1). Intensive productivity studies identified 78 breeding pairs across 13 productivity plots while the N-mixture model abundance estimate was 74 pairs (62–119) using only 1–5 replicated surveys season−1. Our results indicate that standardized replicated count surveys coordinated across multiple agencies and conducted during a relatively short time window (closure assumption) provide tremendous potential to meet both agency-level (e.g., state) and regional-level (e.g., flyway) objectives in large-scale shorebird monitoring programs.
","language":"English","publisher":"Cooper Ornithological Club","publisherLocation":"Santa Clara, CA","doi":"10.1650/CONDOR-14-185.1","usgsCitation":"Hostetter, N.J., Gardner, B., Schweitzer, S.H., Boettcher, R., Wilke, A.L., Addison, L., Swilling, W.R., Pollock, K.H., and Simons, T.R., 2015, Repeated count surveys help standardize multi-agency estimates of American Oystercatcher (Haematopus palliatus) abundance: The Condor, v. 117, no. 3, p. 354-363, https://doi.org/10.1650/CONDOR-14-185.1.","productDescription":"10 p.","startPage":"354","endPage":"363","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060837","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":472015,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-14-185.1","text":"Publisher Index Page"},{"id":323819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.59619140625,\n 34.279914398549934\n ],\n [\n -77.84912109375,\n 33.54139466898275\n ],\n [\n -75.1025390625,\n 35.31736632923788\n ],\n [\n -75.618896484375,\n 36.932330061503144\n ],\n [\n -74.99267578125,\n 38.444984668894705\n ],\n [\n -77.18994140625,\n 38.35027253825765\n ],\n [\n -76.640625,\n 36.56260003738548\n ],\n [\n -78.59619140625,\n 34.279914398549934\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"117","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5763cdb9e4b07657d19ba791","contributors":{"authors":[{"text":"Hostetter, Nathan J.","contributorId":171690,"corporation":false,"usgs":false,"family":"Hostetter","given":"Nathan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":639422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":639423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schweitzer, Sara H.","contributorId":106614,"corporation":false,"usgs":true,"family":"Schweitzer","given":"Sara","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":639424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boettcher, Ruth","contributorId":57375,"corporation":false,"usgs":true,"family":"Boettcher","given":"Ruth","email":"","affiliations":[],"preferred":false,"id":639425,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilke, Alexandra L.","contributorId":172046,"corporation":false,"usgs":false,"family":"Wilke","given":"Alexandra","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":639426,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Addison, Lindsay","contributorId":172047,"corporation":false,"usgs":false,"family":"Addison","given":"Lindsay","email":"","affiliations":[],"preferred":false,"id":639427,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Swilling, William R.","contributorId":172048,"corporation":false,"usgs":false,"family":"Swilling","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":639428,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pollock, Kenneth H.","contributorId":8590,"corporation":false,"usgs":false,"family":"Pollock","given":"Kenneth","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":639429,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Simons, Theodore R. 0000-0002-1884-6229 tsimons@usgs.gov","orcid":"https://orcid.org/0000-0002-1884-6229","contributorId":2623,"corporation":false,"usgs":true,"family":"Simons","given":"Theodore","email":"tsimons@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":639430,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70155866,"text":"70155866 - 2015 - Velocity bias induced by flow patterns around ADCPs and associated deployment platforms","interactions":[],"lastModifiedDate":"2017-05-30T10:12:36","indexId":"70155866","displayToPublicDate":"2015-06-17T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Velocity bias induced by flow patterns around ADCPs and associated deployment platforms","docAbstract":"Velocity measurements near the Acoustic Doppler Current Profiler (ADCP) are important for mapping surface currents, measuring velocity and discharge in shallow streams, and providing accurate estimates of discharge in the top unmeasured portion of the water column. Improvements to ADCP performance permit measurement of velocities much closer (5 cm) to the transducer than has been possible in the past (25 cm). Velocity profiles collected by the U.S. Geological Survey (USGS) with a 1200 kHz Rio Grande Zedhead ADCP in 2002 showed a negative bias in measured velocities near the transducers. On the basis of these results, the USGS initiated a study combining field, laboratory, and numerical modeling data to assess the effect of flow patterns caused by flow around the ADCP and deployment platforms on velocities measured near the transducers. This ongoing study has shown that the negative bias observed in the field is due to the flow pattern around the ADCP. The flow pattern around an ADCP violates the basic assumption of flow homogeneity required for an accurate three-dimensional velocity solution. Results, to date (2014), have indicated velocity biases within the measurable profile, due to flow disturbance, for the TRDI 1200 kHz Rio Grande Zedhead and the SonTek RiverSurveyor M9 ADCPs. The flow speed past the ADCP, the mount and the deployment platform have also been shown to play an important role in the magnitude and extent of the velocity bias.
","conferenceTitle":"2015 IEEE/OES Eleveth Current, Waves and Turbulence Measurement (CWTM)","conferenceDate":"March 2-6, 2015","conferenceLocation":"St. Petersburg, FL","language":"English","publisher":"IEEE","doi":"10.1109/CWTM.2015.7098103","usgsCitation":"Mueller, D.S., 2015, Velocity bias induced by flow patterns around ADCPs and associated deployment platforms, 2015 IEEE/OES Eleveth Current, Waves and Turbulence Measurement (CWTM), St. Petersburg, FL, March 2-6, 2015, 7 p., https://doi.org/10.1109/CWTM.2015.7098103.","productDescription":"7 p.","ipdsId":"IP-062183","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":472017,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/1266880","text":"External Repository"},{"id":341822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592d8edee4b08f9d15be7b83","contributors":{"authors":[{"text":"Mueller, David S. dmueller@usgs.gov","contributorId":1499,"corporation":false,"usgs":true,"family":"Mueller","given":"David","email":"dmueller@usgs.gov","middleInitial":"S.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":566633,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70189968,"text":"70189968 - 2015 - Using monitoring and modeling to define the hazard posed by the reactivated Ferguson rock slide, Merced Canyon, California","interactions":[],"lastModifiedDate":"2017-07-31T07:30:24","indexId":"70189968","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Using monitoring and modeling to define the hazard posed by the reactivated Ferguson rock slide, Merced Canyon, California","docAbstract":"Rapid onset natural disasters such as large landslides create a need for scientific information about the event, which is vital to ensuring public safety, restoring infrastructure, preventing additional damage, and resuming normal economic activity. At the same time, there is limited data available upon which to base reliable scientific responses. Monitoring movement and modeling runout are mechanisms for gaining vital data and reducing the uncertainty created about a rapid onset natural disaster. We examine the effectiveness of this approach during the 2006 Ferguson rock slide disaster, which severed California Highway 140. Even after construction of a bypass restoring normal access to the community of El Portal, CA and a major entrance to Yosemite National Park, significant scientific questions remained. The most important for the affected public and emergency service agencies was the likelihood that access would again be severed during the impending rainy season and the possibility of a landslide dam blocking flow in the Merced River. Real-time monitoring of the Ferguson rock slide yielded clear information on the continuing movement of the rock slide and its implications for emergency response actions. Similarly, simulation of runout deposits using a physically based model together with volumes and slope steepness information demonstrated the conditions necessary for a landslide dam-forming event and the possible consequences of such an event given the dimensions of potential rock slide deposits.
","language":"English","publisher":"Springer","doi":"10.1007/s11069-014-1518-4","usgsCitation":"De Graff, J.V., Gallegos, A.J., Reid, M.E., Lahusen, R.G., and Denlinger, R.P., 2015, Using monitoring and modeling to define the hazard posed by the reactivated Ferguson rock slide, Merced Canyon, California: Natural Hazards, v. 76, no. 2, p. 769-789, https://doi.org/10.1007/s11069-014-1518-4.","productDescription":"21 p.","startPage":"769","endPage":"789","ipdsId":"IP-055872","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":344446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Merced Canyon","volume":"76","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-28","publicationStatus":"PW","scienceBaseUri":"5980419ce4b0a38ca2789350","contributors":{"authors":[{"text":"De Graff, Jerome V.","contributorId":195393,"corporation":false,"usgs":false,"family":"De Graff","given":"Jerome","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":706930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallegos, Alan J.","contributorId":49094,"corporation":false,"usgs":true,"family":"Gallegos","given":"Alan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":706931,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reid, Mark E. 0000-0002-5595-1503 mreid@usgs.gov","orcid":"https://orcid.org/0000-0002-5595-1503","contributorId":1167,"corporation":false,"usgs":true,"family":"Reid","given":"Mark","email":"mreid@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":706927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lahusen, Richard G. rlahusen@usgs.gov","contributorId":535,"corporation":false,"usgs":true,"family":"Lahusen","given":"Richard","email":"rlahusen@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":706928,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Denlinger, Roger P. 0000-0003-0930-0635 roger@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-0635","contributorId":2679,"corporation":false,"usgs":true,"family":"Denlinger","given":"Roger","email":"roger@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":706929,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70190041,"text":"70190041 - 2015 - Updating the USGS seismic hazard maps for Alaska","interactions":[],"lastModifiedDate":"2017-08-06T16:12:12","indexId":"70190041","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Updating the USGS seismic hazard maps for Alaska","docAbstract":"The U.S. Geological Survey makes probabilistic seismic hazard maps and engineering design maps for building codes, emergency planning, risk management, and many other applications. The methodology considers all known earthquake sources with their associated magnitude and rate distributions. Specific faults can be modeled if slip-rate or recurrence information is available. Otherwise, areal sources are developed from earthquake catalogs or GPS data. Sources are combined with ground-motion estimates to compute the hazard. The current maps for Alaska were developed in 2007, and included modeled sources for the Alaska-Aleutian megathrust, a few crustal faults, and areal seismicity sources. The megathrust was modeled as a segmented dipping plane with segmentation largely derived from the slip patches of past earthquakes. Some megathrust deformation is aseismic, so recurrence was estimated from seismic history rather than plate rates. Crustal faults included the Fairweather-Queen Charlotte system, the Denali–Totschunda system, the Castle Mountain fault, two faults on Kodiak Island, and the Transition fault, with recurrence estimated from geologic data. Areal seismicity sources were developed for Benioff-zone earthquakes and for crustal earthquakes not associated with modeled faults. We review the current state of knowledge in Alaska from a seismic-hazard perspective, in anticipation of future updates of the maps. Updated source models will consider revised seismicity catalogs, new information on crustal faults, new GPS data, and new thinking on megathrust recurrence, segmentation, and geometry. Revised ground-motion models will provide up-to-date shaking estimates for crustal earthquakes and subduction earthquakes in Alaska.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2014.10.006","usgsCitation":"Mueller, C., Briggs, R.W., Wesson, R.L., and Petersen, M.D., 2015, Updating the USGS seismic hazard maps for Alaska: Quaternary Science Reviews, v. 113, p. 39-47, https://doi.org/10.1016/j.quascirev.2014.10.006.","productDescription":"9 p.","startPage":"39","endPage":"47","ipdsId":"IP-060564","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":344604,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59882a96e4b05ba66e9ffde0","contributors":{"authors":[{"text":"Mueller, Charles 0000-0002-1868-9710 cmueller@usgs.gov","orcid":"https://orcid.org/0000-0002-1868-9710","contributorId":140380,"corporation":false,"usgs":true,"family":"Mueller","given":"Charles","email":"cmueller@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":707285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":139002,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":707286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wesson, Robert L. 0000-0003-2702-0012 rwesson@usgs.gov","orcid":"https://orcid.org/0000-0003-2702-0012","contributorId":850,"corporation":false,"usgs":true,"family":"Wesson","given":"Robert","email":"rwesson@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":707287,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":707288,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70188317,"text":"70188317 - 2015 - The challenges of remote monitoring of wetlands","interactions":[],"lastModifiedDate":"2017-06-06T10:44:23","indexId":"70188317","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"The challenges of remote monitoring of wetlands","docAbstract":"Wetlands are highly productive and support a wide variety of ecosystem goods and services. Various forms of global change impose compelling needs for timely and reliable information on the status of wetlands worldwide, but several characteristics of wetlands make them challenging to monitor remotely: they lack a single, unifying land-cover feature; they tend to be highly dynamic and their energy signatures are constantly changing; and steep environmental gradients in and around wetlands produce narrow ecotones that often are below the resolving capacity of remote sensors. These challenges and needs set the context for a special issue focused on wetland remote sensing. Contributed papers responded to one of three overarching questions aimed at improving remote, large-area monitoring of wetlands: (1) What approaches and data products are being developed specifically to support regional to global long-term monitoring of wetland landscapes? (2) What are the promising new technologies and sensor/multisensor approaches for more accurate and consistent detection of wetlands? (3) Are there studies that demonstrate how remote long-term monitoring of wetland landscapes can reveal changes that correspond with changes in land cover and land use and/or changes in climate?
","language":"English","publisher":"MDPI","doi":"10.3390/rs70810938","usgsCitation":"Gallant, A.L., 2015, The challenges of remote monitoring of wetlands: Remote Sensing, v. 7, no. 8, p. 10938-10950, https://doi.org/10.3390/rs70810938.","productDescription":"13 p.","startPage":"10938","endPage":"10950","ipdsId":"IP-068289","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472018,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs70810938","text":"Publisher Index Page"},{"id":342136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"8","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-24","publicationStatus":"PW","scienceBaseUri":"5937bf2ee4b0f6c2d0d9c76b","contributors":{"authors":[{"text":"Gallant, Alisa L. 0000-0002-3029-6637 gallant@usgs.gov","orcid":"https://orcid.org/0000-0002-3029-6637","contributorId":2940,"corporation":false,"usgs":true,"family":"Gallant","given":"Alisa","email":"gallant@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":697190,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70187563,"text":"70187563 - 2015 - Decision support system for optimally managing water resources to meet multiple objectives in the Savannah River Basin","interactions":[],"lastModifiedDate":"2020-12-18T15:12:08.313004","indexId":"70187563","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5389,"text":"Journal of South Carolina Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"Decision support system for optimally managing water resources to meet multiple objectives in the Savannah River Basin","docAbstract":"Managers of large river basins face conflicting demands for water resources such as wildlife habitat, water supply, wastewater assimilative capacity, flood control, hydroelectricity, and recreation. The Savannah River Basin, for example, has experienced three major droughts since 2000 that resulted in record low water levels in its reservoirs, impacting dependent economies for years. The Savannah River estuary contains two municipal water intakes and the ecologically sensitive freshwater tidal marshes of the Savannah National Wildlife Refuge. The Port of Savannah is the fourth busiest in the United States, and modifications to the harbor to expand ship traffic since the 1970s have caused saltwater to migrate upstream, reducing the freshwater marsh’s acreage more than 50 percent. A planned deepening of the harbor includes flow-alteration features to minimize further migration of salinity, whose effectiveness will only be known after all construction is completed.
One of the challenges of large basin management is the optimization of water use through ongoing regional economic development, droughts, and climate change. This paper describes a model of the Savannah River Basin designed to continuously optimize regulated flow to meet prioritized objectives set by resource managers and stakeholders. The model was developed from historical data using machine learning, making it more accurate and adaptable to changing conditions than traditional models. The model is coupled to an optimization routine that computes the daily flow needed to most efficiently meet the water-resource management objectives. The model and optimization routine are packaged in a decision support system that makes it easy for managers and stakeholders to use. Simulation results show that flow can be regulated to substantially reduce salinity intrusions in the Savannah National Wildlife Refuge, while conserving more water in the reservoirs. A method for using the model to assess the effectiveness of the flow-alteration features after the deepening also is demonstrated.
","language":"English","publisher":"Institute of Computational Ecology","publisherLocation":"Clemson, SC","doi":"10.34068/JSCWR.02.03","usgsCitation":"Roehl, E.A., and Conrads, P., 2015, Decision support system for optimally managing water resources to meet multiple objectives in the Savannah River Basin: Journal of South Carolina Water Resources, v. 2, no. 1, p. 16-23, https://doi.org/10.34068/JSCWR.02.03.","productDescription":"8 p.","startPage":"16","endPage":"23","ipdsId":"IP-066414","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":472019,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.34068/jscwr.02.03","text":"Publisher Index Page"},{"id":381502,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, North Carolina, South Carolina","otherGeospatial":"Savannah River 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Jr.","contributorId":108083,"corporation":false,"usgs":false,"family":"Roehl","given":"Edwin","suffix":"Jr.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":694943,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":694574,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70186944,"text":"70186944 - 2015 - Risk management of El Chichón and Tacaná Volcanoes: Lessons learned from past volcanic crises: Chapter 8","interactions":[],"lastModifiedDate":"2017-04-17T09:20:42","indexId":"70186944","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Risk management of El Chichón and Tacaná Volcanoes: Lessons learned from past volcanic crises: Chapter 8","docAbstract":"Before 1985, Mexico lacked civil-protection agencies with a mission to prevent and respond to natural and human-caused disasters; thus, the government was unprepared for the sudden eruption of El Chichón Volcano in March–April 1982, which produced the deadliest volcanic disaster in the country’s recorded history (~2,000 fatalities). With the sobering lessons of El Chichón still fresh, scientists and governmental officials had a higher awareness of possible disastrous outcome when Tacaná Volcano began to exhibit unrest in late 1985. Seismic and geochemical studies were quickly initiated to monitor activity. At the same time, scientists worked actively with officials of the Federal and local agencies to develop the “Plan Operativo” (Operational Plan)—expressly designed to effectively communicate hazards information and reduce confusion and panic among the affected population. Even though the volcano-monitoring data obtained during the Tacaná crisis were limited, when used in conjunction with protocols of the Operational Plan, they proved useful in mitigating risk and easing public anxiety. While comprehensive monitoring is not yet available, both El Chichón and Tacaná volcanoes are currently monitored—seismically and geochemically—within the scientific and economic resources available. Numerous post-eruption studies have generated new insights into the volcanic systems that have been factored into subsequent volcano monitoring and hazards assessments. The State of Chiapas is now much better positioned to deal with any future unrest or eruptive activity at El Chichón or Tacaná, both of which at the moment are quiescent as of 2014. Perhaps more importantly, the protocols first tested in 1986 at Tacaná have served as the basis for the development of risk-management practices for hazards from other active and potentially active volcanoes in Mexico. These practices have been most notably employed since 1994 at Volcán Popocatépetl since a major eruption under unfavorable prevailing winds may constitute a substantial threat to densely populated metropolitan Mexico City. While the 1982 El Chichón disaster was a national tragedy, it greatly accelerated volcanic emergency preparedness and multidisciplinary scientific studies of eruptive processes and products, not only at El Chichón but also at other explosive volcanoes in Mexico and elsewhere in the world.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Active Volcanoes of Chiapas (Mexico): El Chichón and Tacaná","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","publisherLocation":"Berlin","doi":"10.1007/978-3-642-25890-9_8","usgsCitation":"De la Cruz-Reyna, S., and Tilling, R.I., 2015, Risk management of El Chichón and Tacaná Volcanoes: Lessons learned from past volcanic crises: Chapter 8, chap. of Active Volcanoes of Chiapas (Mexico): El Chichón and Tacaná, p. 155-174, https://doi.org/10.1007/978-3-642-25890-9_8.","productDescription":"20 p.","startPage":"155","endPage":"174","ipdsId":"IP-037115","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":339780,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","state":"Chiapas","otherGeospatial":"El Chichón Volcano, Tacaná Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.5,\n 13\n ],\n [\n -86,\n 13\n ],\n [\n -86,\n 23\n ],\n [\n -105.5,\n 23\n ],\n [\n -105.5,\n 13\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-26","publicationStatus":"PW","scienceBaseUri":"58f5d442e4b0f2e20545e41d","contributors":{"authors":[{"text":"De la Cruz-Reyna, Servando","contributorId":67650,"corporation":false,"usgs":true,"family":"De la Cruz-Reyna","given":"Servando","email":"","affiliations":[],"preferred":false,"id":691187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tilling, Robert I. 0000-0003-4263-7221 rtilling@usgs.gov","orcid":"https://orcid.org/0000-0003-4263-7221","contributorId":2567,"corporation":false,"usgs":true,"family":"Tilling","given":"Robert","email":"rtilling@usgs.gov","middleInitial":"I.","affiliations":[],"preferred":true,"id":691102,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70154779,"text":"70154779 - 2015 - The influence of Tamarix ramosissima defoliation on population movements of the northern tamarisk beetle (Diorhabda carinulata) within the Colorado Plateau: Chapter 18","interactions":[],"lastModifiedDate":"2018-07-31T13:15:02","indexId":"70154779","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The influence of Tamarix ramosissima defoliation on population movements of the northern tamarisk beetle (Diorhabda carinulata) within the Colorado Plateau: Chapter 18","docAbstract":"The northern tamarisk beetle (Diorhabda carinulata) was introduced to the Colorado Plateau within the Colorado River Basin in 2004, in an effort to control invasive/exotic tamarisk (Tamarix ramosissima) plants. Since release, there has been rapid beetle colonization and subsequent defoliation of tamarisk along the Colorado River corridor. We collected plant phenology and beetle abundance data from the Dolores and San Juan rivers, two major tributaries of the Colorado River, to document tamarisk defoliation and beetle movement patterns. We found D. carinulata population movement patterns to be highly influenced by the availability of food resources, with local beetle boom and bust events appearing common. Beetles were able to defoliate from 35-65 km of river corridor tamarisk habitat each year. Following intensive tamarisk defoliation of large riparian reaches, beetles displayed a pattern of temporary abandonment in the following year with recolonization of that habitat in the subsequent year. Larvae were found primarily in areas that had partial defoliation, while adults occurred throughout the river corridor but most often on the leading edge of defoliated habitats. Understanding this type of beetle behavior and movement patterns will be useful in the management of areas where D. carinulata has been established, and in areas where it has not yet colonized. This will also assist land managers to further understand how defoliation and the presence of D. carinulata influence tamarisk-dominated habitats within Colorado Plateau riparian ecosystems.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Colorado Plateau VI: Science and Management at the Landscape Scale","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"University of Arizona Press","publisherLocation":"Tucson, AZ","isbn":"978-0-8165-3159-2","usgsCitation":"Jamison, L., van Riper, C., and Bean, D., 2015, The influence of Tamarix ramosissima defoliation on population movements of the northern tamarisk beetle (Diorhabda carinulata) within the Colorado Plateau: Chapter 18, chap. of The Colorado Plateau VI: Science and Management at the Landscape Scale, p. 281-291.","productDescription":"11 p.","startPage":"281","endPage":"291","ipdsId":"IP-036267","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":340950,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":305555,"type":{"id":15,"text":"Index Page"},"url":"https://www.uapress.arizona.edu/Books/bid2511.htm"}],"country":"United States","otherGeospatial":"Dolores River, San Juan River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.12857055664061,\n 39.02025064038437\n ],\n [\n -109.38674926757811,\n 38.810820900566135\n ],\n [\n -108.83193969726562,\n 38.348118547988065\n ],\n [\n -108.57376098632812,\n 38.568569091731305\n ],\n [\n -109.12857055664061,\n 39.02025064038437\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.37689208984374,\n 37.122001366241\n ],\n [\n -109.61196899414061,\n 37.122001366241\n ],\n [\n -109.61196899414061,\n 37.34941777989473\n ],\n [\n -110.37689208984374,\n 37.34941777989473\n ],\n [\n -110.37689208984374,\n 37.122001366241\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591183b5e4b0e541a03c1a66","contributors":{"authors":[{"text":"Jamison, Levi R.","contributorId":45163,"corporation":false,"usgs":true,"family":"Jamison","given":"Levi R.","affiliations":[],"preferred":false,"id":564122,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Riper, Charles III 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":169488,"corporation":false,"usgs":true,"family":"van Riper","given":"Charles","suffix":"III","email":"charles_van_riper@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":564120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bean, Dan W.","contributorId":58133,"corporation":false,"usgs":true,"family":"Bean","given":"Dan W.","affiliations":[],"preferred":false,"id":564121,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}