{"pageNumber":"539","pageRowStart":"13450","pageSize":"25","recordCount":40783,"records":[{"id":70188823,"text":"70188823 - 2015 - Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the northeastern Alaska Range, Healy, Mount Hayes, Nabesna, and Tanacross quadrangles, Alaska","interactions":[],"lastModifiedDate":"2017-06-27T13:12:42","indexId":"70188823","displayToPublicDate":"2015-06-24T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the northeastern Alaska Range, Healy, Mount Hayes, Nabesna, and Tanacross quadrangles, Alaska","docAbstract":"<p>The State of Alaska’s Strategic and Critical Minerals (SCM) Assessment project, a State-funded Capital Improvement Project (CIP), is designed to evaluate Alaska’s statewide potential for SCM resources. The SCM Assessment is being implemented by the Alaska Division of Geological &amp; Geophysical Surveys (DGGS), and involves obtaining new airborne-geophysical, geological, and geochemical data. As part of the SCM Assessment, thousands of historical geochemical samples from DGGS, U.S. Geological Survey (USGS), and U.S. Bureau of Mines archives are being reanalyzed by DGGS using modern, quantitative, geochemical-analytical methods. The objective is to update the statewide geochemical database to more clearly identify areas in Alaska with SCM potential.</p><p> The USGS is also undertaking SCM-related geologic studies in Alaska through the federally funded Alaska Critical Minerals cooperative project. DGGS and USGS share the goal of evaluating Alaska’s strategic and critical minerals potential and together created a Letter of Agreement (signed December 2012) and a supplementary Technical Assistance Agreement (#14CMTAA143458) to facilitate the two agencies’ cooperative work. Under these agreements, DGGS contracted the USGS in Denver to reanalyze historical USGS sediment samples from Alaska. </p><p>For this report, DGGS funded reanalysis of 670 historical USGS sediment samples from the statewide Alaska Geochemical Database Version 2.0 (AGDB2; Granitto and others, 2013). Samples were chosen from the northeastern Alaska Range, in the Healy, Mount Hayes, Nabesna, and Tanacross quadrangles, Alaska (fig. 1). The USGS was responsible for sample retrieval from the National Geochemical Sample Archive (NGSA) in Denver, Colorado through the final quality assurance/quality control (QA/QC) of the geochemical analyses obtained through the USGS contract lab. The new geochemical data are published in this report as a coauthored DGGS report, and will be incorporated into the statewide geochemical databases of both agencies.</p>","language":"English","publisher":"Alaska Division of Geological & Geophysical Surveys","doi":"10.14509/29451","collaboration":"Alaska Division of Geological & Geophysical Surveys; Melanie B. Werdon, lead author","usgsCitation":"Werdon, M.B., Granitto, M., and Azain, J.S., 2015, Geochemical reanalysis of historical U.S. Geological Survey sediment samples from the northeastern Alaska Range, Healy, Mount Hayes, Nabesna, and Tanacross quadrangles, Alaska, Report: 6 p. , https://doi.org/10.14509/29451.","productDescription":"Report: 6 p. ","startPage":"1","endPage":"6","numberOfPages":"8","ipdsId":"IP-064896","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":471998,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/29451","text":"Publisher Index Page"},{"id":342976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Mount Hayes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -150.17211914062497,\n              64.46332329319623\n            ],\n            [\n              -150.18310546875,\n              64.29229248039543\n            ],\n            [\n              -150.27099609375003,\n              62.70942526220763\n            ],\n            [\n              -141.48193359375,\n              62.6791861968537\n            ],\n            [\n              -141.690673828125,\n              64.52482316878356\n            ],\n            [\n              -150.18310546875,\n              64.62387720204688\n            ],\n            [\n              -150.17211914062497,\n              64.46332329319623\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536eabe4b062508e3c7a91","contributors":{"authors":[{"text":"Werdon, Melanie B.","contributorId":193448,"corporation":false,"usgs":false,"family":"Werdon","given":"Melanie","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":700502,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granitto, Matthew 0000-0003-3445-4863 granitto@usgs.gov","orcid":"https://orcid.org/0000-0003-3445-4863","contributorId":1224,"corporation":false,"usgs":true,"family":"Granitto","given":"Matthew","email":"granitto@usgs.gov","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":700501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Azain, Jaime S. 0000-0002-8256-7494 jsazain@usgs.gov","orcid":"https://orcid.org/0000-0002-8256-7494","contributorId":5963,"corporation":false,"usgs":true,"family":"Azain","given":"Jaime","email":"jsazain@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":700503,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70143536,"text":"sir20155043 - 2015 - Hydraulic, geomorphic, and trout habitat conditions of the Lake Fork of the Gunnison River in Hinsdale County, Lake City, Colorado, Water Years 2010-2011","interactions":[],"lastModifiedDate":"2015-06-22T16:42:39","indexId":"sir20155043","displayToPublicDate":"2015-06-22T17:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5043","title":"Hydraulic, geomorphic, and trout habitat conditions of the Lake Fork of the Gunnison River in Hinsdale County, Lake City, Colorado, Water Years 2010-2011","docAbstract":"<p>Channel rehabilitation, or reconfiguration, to mitigate a variety of riverine problems has become a common practice in the western United States. However, additional work to monitor and assess the channel response to, and the effectiveness of, these modifications over longer periods of time (decadal or longer) is still needed. The Lake Fork of the Gunnison River has been an area of active channel modification to accommodate the needs of the Lake City community since the 1950s. The Lake Fork Valley Conservancy District began a planning process to assess restoration options for a reach of the Lake Fork in Lake City to enhance hydraulic and ecologic characteristics of the reach. Geomorphic channel form is affected by land-use changes within the basin and geologic controls within the reach. The historic channel was defined as a dynamic, braided channel with an active flood plain. This can result in a natural tendency for the channel to braid. A braided channel can affect channel stability of reconfigured reaches when a single-thread meandering channel is imposed on the stream. The U.S. Geological Survey, in cooperation with the Colorado Water Conservation Board and Colorado River Water Conservation District, began a study in 2010 to quantify existing hydraulic and habitat conditions for a reach of the Lake Fork of the Gunnison River in Lake City, Colorado. The purpose of this report is to quantify existing Lake Fork hydraulic and habitat conditions and establish a baseline against which post-reconfiguration conditions can be compared. This report (1) quantifies the existing hydraulic and geomorphic conditions in a 1.1-kilometer section of the Lake Fork at Lake City that has been proposed as a location for future channel-rehabilitation efforts, (2) characterizes the habitat suitability of the reach for two trout species based on physical conditions within the stream, and (3) characterizes the current riparian canopy density.</p>\n<p>The FaSTMECH computational flow-model within MD_SWMS was selected to characterize the effects of streamflow on hydraulic and habitat-suitability conditions for a study reach of the Lake Fork. Habitat suitability was evaluated for cutthroat (<i>Oncorhynchus clarkii</i>) and brown trout (<i>Salmo trutta morpha fario</i>) fry, juveniles, and adults. Microscale (point locations) and mesoscale (reach features) habitats were assessed using the combination of field observations, measurements, and hydraulic simulations within the study reach of the Lake Fork. Microscale trout habitat, presented as weighted usable area, generally increased as streamflow increased for both trout species and all life stages. Areas of suitable microscale habitat occur along the banks for flows of 900 cubic feet per second (ft<sup>3</sup>/s) and less. Out-of-bank areas became more substantial contributors to overall habitat availability for flows of 1,300 ft<sup>3</sup>/s or more when compared to other features. Adult habitat, for both trout species, was the most abundant habitat type for nearly all streamflows. In general, the upper reach provided 2&ndash;3 times more available habitat than the lower reach for both trout species.</p>\n<p>Mesoscale trout habitat of the Lake Fork was assessed based on the conditions present in the 150 ft<sup>3</sup>/s flow simulation as well as field observation. Both the upper and lower reach is primarily characterized as riffle/run habitat. The presence of pool habitat was limited throughout both reaches and occurred along the channel margins. For both reaches, the pool habitat was less than 5 percent of the total wetted area, a percentage that is substantially lower than the recommendations for sustainable populations of 40&ndash;70 percent. Areas of cover were adjacent to potential drift feeding areas in the lower reach, and often occurred within the same pool habitat. This may favor energy expenditure ratios of both fish species, wherein little energy is needed to acquire adequate food sources.</p>\n<p>Sediment mobility is an important process for flushing fine sediments from within the gravel frameworks. Evaluations of channel and flow characteristics at cross-section locations 2&ndash;8 show a range of streambed mobility. In general, boundary shear stress and streambed mobility increase with increases in streamflow. Within the cross sections, the greatest boundary shear stress occurs towards the center of the channel. Reach-scale assessment of sediment mobility in the lower reach shows increased streambed mobility. This is due in part to smaller grain sizes in the lower reach, but may also reflect the greater extent of channel alterations, specifically the temporary berms constructed by CDOT in the late 1980s and 1990s, present in this reach.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155043","collaboration":"In cooperation with the Colorado Water Conservation Board and Colorado River Water Conservation District","usgsCitation":"Williams, C.A., Richards, R.J., and Schaffrath, K.R., 2015, Hydraulic, geomorphic, and trout habitat conditions of the Lake Fork of the Gunnison River in Hinsdale County, Lake City, Colorado, Water Years 2010-2011: U.S. Geological Survey Scientific Investigations Report 2015-5043, vi, 28 p., https://doi.org/10.3133/sir20155043.","productDescription":"vi, 28 p.","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-060657","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":301812,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155043.jpg"},{"id":301810,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5043/"},{"id":301811,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5043/pdf/sir2015-5043.pdf","text":"Report","size":"28.4 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"SIR 2015-5043 Report"}],"country":"United States","state":"Colorado","county":"Hinsdale County","city":"Lake City","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.5177001953125,\n              38.14967752360809\n            ],\n            [\n              -107.00408935546875,\n              38.14535757293734\n            ],\n            [\n              -107.0013427734375,\n              37.9593578107923\n            ],\n            [\n              -107.15789794921875,\n              37.94852933714952\n            ],\n            [\n              -107.1826171875,\n              37.55981972178116\n            ],\n            [\n              -107.56988525390624,\n              37.55764242679522\n            ],\n            [\n              -107.5177001953125,\n              38.14967752360809\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558923a2e4b0b6d21dd61a45","contributors":{"authors":[{"text":"Williams, Cory A. 0000-0003-1461-7848 cawillia@usgs.gov","orcid":"https://orcid.org/0000-0003-1461-7848","contributorId":689,"corporation":false,"usgs":true,"family":"Williams","given":"Cory","email":"cawillia@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richards, Rodney J. 0000-0003-3953-984X rjrichar@usgs.gov","orcid":"https://orcid.org/0000-0003-3953-984X","contributorId":2204,"corporation":false,"usgs":true,"family":"Richards","given":"Rodney","email":"rjrichar@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schaffrath, Keelin R.","contributorId":7552,"corporation":false,"usgs":true,"family":"Schaffrath","given":"Keelin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":542791,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"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":"<p><span>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.</span></p>","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":70156185,"text":"70156185 - 2015 - Identifying priority chronic wasting disease surveillance areas for mule deer in Montana","interactions":[],"lastModifiedDate":"2016-04-13T12:36:47","indexId":"70156185","displayToPublicDate":"2015-06-19T14:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Identifying priority chronic wasting disease surveillance areas for mule deer in Montana","docAbstract":"<p>Chronic wasting disease (CWD) is a fatal prion disease that affects a variety of ungulate species including mule deer (<i>Odocoileus hemionus</i>). As of 2014, no CWD cases had been reported in free-ranging ungulates in Montana. However, nearby cases in Canada, Wyoming, and the Dakotas indicated that the disease was encroaching on Montana's borders. Mule deer are native and common throughout Montana, and they represent a significant portion of the total hunter-harvested cervids in the state. The arrival of CWD in Montana may have significant ecosystem and socioeconomic impacts as well as potential consequences for wildlife management. We used 18,879 mule deer locations from 892 individual deer collected during 1975&ndash;2011 and modeled habitat selection for 7 herds in 5 of the 7 wildlife management regions in Montana. We estimated resource selection functions (RSF) in a Bayesian framework to predict summer and winter habitat preferences for mule deer. We estimated deer abundance from flyover counts for each region, and used the RSF predictions as weights to distribute the deer across the region. We then calculated the distance to the nearest known infected herds. We predicted areas of high risk of CWD infection in mule deer as areas with densities above the median density estimate and within the lowest quartile of distances to known infected herds. We identified these areas, the southeast corner of Montana and the north-central border near Alberta and Saskatchewan, as priority areas for CWD surveillance and management efforts.&nbsp;</p>","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.914","usgsCitation":"Russell, R.E., Gude, J., Anderson, N., and Ramsey, J.M., 2015, Identifying priority chronic wasting disease surveillance areas for mule deer in Montana: Journal of Wildlife Management, v. 79, p. 989-997, https://doi.org/10.1002/jwmg.914.","productDescription":"9 p.","startPage":"989","endPage":"997","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053508","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":306631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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N.J.","contributorId":65660,"corporation":false,"usgs":true,"family":"Anderson","given":"N.J.","email":"","affiliations":[],"preferred":false,"id":567965,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ramsey, Jennifer M.","contributorId":88254,"corporation":false,"usgs":true,"family":"Ramsey","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":567966,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70168950,"text":"70168950 - 2015 - Curiosity’s robotic arm-mounted Mars Hand Lens Imager (MAHLI): Characterization and calibration status","interactions":[],"lastModifiedDate":"2018-11-13T13:56:58","indexId":"70168950","displayToPublicDate":"2015-06-19T02:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":5776,"text":"MSL MAHLI Technical Report","active":true,"publicationSubtype":{"id":9}},"seriesNumber":"0001","title":"Curiosity’s robotic arm-mounted Mars Hand Lens Imager (MAHLI): Characterization and calibration status","docAbstract":"<p>MAHLI (Mars Hand Lens Imager) is a 2-megapixel, Bayer pattern 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).</p>","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 (<i>Tetrao urogallus</i> 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 (<i>Tetrao urogallus</i> L.) with spatial capture-recapture models based on genotypes from one field sample","docAbstract":"<p><span>We conducted a survey of an endangered and cryptic forest grouse, the capercaillie&nbsp;</span><i>Tetrao urogallus</i><span>, 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&ndash;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&ndash;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.</span></p>","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 (<i>Tetrao urogallus</i> 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":70155960,"text":"70155960 - 2015 - Landscape genomics of Sphaeralcea ambigua in the Mojave Desert: a multivariate, spatially-explicit approach to guide ecological restoration","interactions":[],"lastModifiedDate":"2015-11-09T11:41:53","indexId":"70155960","displayToPublicDate":"2015-06-18T03:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Landscape genomics of Sphaeralcea ambigua in the Mojave Desert: a multivariate, spatially-explicit approach to guide ecological restoration","docAbstract":"<p>Local adaptation influences plant species&rsquo; responses to climate change and their performance in ecological restoration. Fine-scale physiological or phenological adaptations that direct demographic processes may drive intraspecific variability when baseline environmental conditions change. Landscape genomics characterize adaptive differentiation by identifying environmental drivers of adaptive genetic variability and mapping the associated landscape patterns. We applied such an approach to <i class=\"EmphasisTypeItalic\">Sphaeralcea ambigua</i>, an important restoration plant in the arid southwestern United States, by analyzing variation at 153 amplified fragment length polymorphism loci in the context of environmental gradients separating 47 Mojave Desert populations. We identified 37 potentially adaptive loci through a combination of genome scan approaches. We then used a generalized dissimilarity model (GDM) to relate variability in potentially adaptive loci with spatial gradients in temperature, precipitation, and topography. We identified non-linear thresholds in loci frequencies driven by summer maximum temperature and water stress, along with continuous variation corresponding to temperature seasonality. Two GDM-based approaches for mapping predicted patterns of local adaptation are compared. Additionally, we assess uncertainty in spatial interpolations through a novel spatial bootstrapping approach. Our study presents robust, accessible methods for deriving spatially-explicit models of adaptive genetic variability in non-model species that will inform climate change modelling and ecological restoration.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10592-015-0741-1","usgsCitation":"Shryock, D.F., Havrilla, C.A., DeFalco, L., Esque, T., Custer, N., and Wood, T.E., 2015, Landscape genomics of Sphaeralcea ambigua in the Mojave Desert: a multivariate, spatially-explicit approach to guide ecological restoration: Conservation Genetics, v. 16, no. 6, p. 1303-1317, https://doi.org/10.1007/s10592-015-0741-1.","productDescription":"15 p.","startPage":"1303","endPage":"1317","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062958","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":306668,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Mojave Desert ecogregion","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.14697265625,\n              33.284619968887704\n            ],\n            [\n              -118.14697265625,\n              37.68382032669382\n            ],\n            [\n              -111.81884765624999,\n              37.68382032669382\n            ],\n            [\n              -111.81884765624999,\n              33.284619968887704\n            ],\n            [\n              -118.14697265625,\n              33.284619968887704\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-18","publicationStatus":"PW","scienceBaseUri":"55cdbfb7e4b08400b1fe140e","contributors":{"authors":[{"text":"Shryock, Daniel F. dshryock@usgs.gov","contributorId":5139,"corporation":false,"usgs":true,"family":"Shryock","given":"Daniel","email":"dshryock@usgs.gov","middleInitial":"F.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":567428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Havrilla, Caroline A. 0000-0003-3913-0980","orcid":"https://orcid.org/0000-0003-3913-0980","contributorId":146326,"corporation":false,"usgs":true,"family":"Havrilla","given":"Caroline","email":"","middleInitial":"A.","affiliations":[{"id":16669,"text":"U of CO, Boulder","active":true,"usgs":false},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":567429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeFalco, Lesley ldefalco@usgs.gov","contributorId":139012,"corporation":false,"usgs":true,"family":"DeFalco","given":"Lesley","email":"ldefalco@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":567427,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esque, Todd C. tesque@usgs.gov","contributorId":145679,"corporation":false,"usgs":true,"family":"Esque","given":"Todd C.","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":567430,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Custer, Nathan ncuster@usgs.gov","contributorId":5561,"corporation":false,"usgs":true,"family":"Custer","given":"Nathan","email":"ncuster@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":567431,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wood, Troy E. 0000-0002-1533-5714 twood@usgs.gov","orcid":"https://orcid.org/0000-0002-1533-5714","contributorId":4023,"corporation":false,"usgs":true,"family":"Wood","given":"Troy","email":"twood@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":567432,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70190054,"text":"70190054 - 2015 - Vertical deformation through a complete seismic cycle at Isla Santa María, Chile","interactions":[],"lastModifiedDate":"2021-08-30T16:21:29.619833","indexId":"70190054","displayToPublicDate":"2015-06-18T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Vertical deformation through a complete seismic cycle at Isla Santa María, Chile","docAbstract":"<p><span>Individual great earthquakes are posited to release the elastic strain energy that has accumulated over centuries by the gradual movement of tectonic plates</span><sup><a id=\"ref-link-2\" title=\"Reid, H. F. The California Earthquake of April 18, 1906: The Mechanics of the Earthquake (Carnegie Inst., 1910).\" href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref1\" data-mce-href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref1\">1</a>,<span>&nbsp;</span><a id=\"ref-link-3\" title=\"Savage, J. C. A dislocation model of strain accumulation and release at a subduction zone. J. Geophys. Res. 88, 4984-4996 (1983).\" href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref2\" data-mce-href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref2\">2</a></sup><span>. However, knowledge of plate deformation during a complete seismic cycle—two successive great earthquakes and the intervening interseismic period—remains incomplete</span><sup><a id=\"ref-link-4\" title=\"Wang, K., Hu, Y. &amp; He, J. Deformation cycles of subduction earthquakes in a viscoelastic Earth. Nature 484, 327-332 (2012).\" href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref3\" data-mce-href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref3\">3</a></sup><span>. A complete seismic cycle began in south-central Chile in 1835 with an earthquake of about magnitude 8.5 (refs&nbsp;</span><a id=\"ref-link-5\" title=\"Darwin, C. Narrative of the Surveying Voyages of His Majesty[rsquor]s Ships Adventure and Beagle, Between the Years 1826 and 1836: Journal and Remarks, 1832-1836 Vol. 3 (Henry Colburn, 1839).\" href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref4\" data-mce-href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref4\">4</a><span>,<span>&nbsp;</span></span><a id=\"ref-link-6\" title=\"FitzRoy, R. Narrative of the Surveying Voyages of his Majesty[rsquor]s Ships Adventure and Beagle, Between the Years 1826 and 1836, Proceedings of the Second Expedition, 1831-1836 Vol. 2 (Henry Colburn, 1839).\" href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref5\" data-mce-href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref5\">5</a><span>) and ended in 2010 with a magnitude 8.8 earthquake</span><sup><a id=\"ref-link-7\" title=\"Vigny, C. et al. The 2010 M-w 8.8 Maule megathrust earthquake of central Chile, monitored by GPS. Science 332, 1417-1421 (2011).\" href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref6\" data-mce-href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref6\">6</a></sup><span>. During the first earthquake, an uplift of Isla Santa María by 2.4 to 3 m was documented</span><sup><a id=\"ref-link-8\" title=\"Darwin, C. Narrative of the Surveying Voyages of His Majesty[rsquor]s Ships Adventure and Beagle, Between the Years 1826 and 1836: Journal and Remarks, 1832-1836 Vol. 3 (Henry Colburn, 1839).\" href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref4\" data-mce-href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref4\">4</a>,<span>&nbsp;</span><a id=\"ref-link-9\" title=\"FitzRoy, R. Narrative of the Surveying Voyages of his Majesty[rsquor]s Ships Adventure and Beagle, Between the Years 1826 and 1836, Proceedings of the Second Expedition, 1831-1836 Vol. 2 (Henry Colburn, 1839).\" href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref5\" data-mce-href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref5\">5</a></sup><span>. In the second earthquake, the island was uplifted</span><sup><a id=\"ref-link-10\" title=\"Moreno, M. et al. Toward understanding tectonic control on the Mw 8.8 2010 Maule Chile earthquake. Earth Planet. Sci. Lett. 321-322, 152-165 (2012).\" href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref7\" data-mce-href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref7\">7</a></sup><span><span>&nbsp;</span>by 1.8 m. Here we use nautical surveys made in 1804, after the earthquake in 1835 and in 1886, together with modern echo sounder surveys and GPS measurements made immediately before and after the 2010 earthquake, to quantify vertical deformation through the complete seismic cycle. We find that in the period between the two earthquakes, Isla Santa María subsided by about 1.4 m. We simulate the patterns of vertical deformation with a finite-element model and find that they agree broadly with predictions from elastic rebound theory</span><sup><a id=\"ref-link-11\" title=\"Savage, J. C. A dislocation model of strain accumulation and release at a subduction zone. J. Geophys. Res. 88, 4984-4996 (1983).\" href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref2\" data-mce-href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref2\">2</a></sup><span>. However, comparison with geomorphic and geologic records of millennial coastline emergence</span><sup><a id=\"ref-link-12\" title=\"Bookhagen, B., Echtler, H., Melnick, D., Strecker, M. &amp; Spencer, J. Using uplifted Holocene beach berms for paleoseismic analysis on the Santa Maria Island, south-central Chile. Geophys. Res. Lett. 33, L15302 (2006).\" href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref8\" data-mce-href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref8\">8</a>,<span>&nbsp;</span><a id=\"ref-link-13\" title=\"Jara-Munoz, J. &amp; Melnick, D. Unraveling sea-level variations and tectonic uplift in wave-built marine terraces, Santa Maria Island, Chile. Quat. Res. 83, 216-228 (2015).\" href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref9\" data-mce-href=\"https://www.nature.com/ngeo/journal/v8/n7/full/ngeo2468.html#ref9\">9</a></sup><span><span>&nbsp;</span>reveal that 10–20% of the vertical uplift could be permanent.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/ngeo2468","usgsCitation":"Wesson, R.L., Melnick, D., Cisternas, M., Moreno, M., and Ely, L., 2015, Vertical deformation through a complete seismic cycle at Isla Santa María, Chile: Nature Geoscience, v. 8, p. 547-551, https://doi.org/10.1038/ngeo2468.","productDescription":"5 p.","startPage":"547","endPage":"551","ipdsId":"IP-065712","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":344685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Isla Santa María","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.5919189453125,\n              -37.092430683283474\n            ],\n            [\n              -73.45046997070312,\n              -37.092430683283474\n            ],\n            [\n              -73.45046997070312,\n              -36.96251177659819\n            ],\n            [\n              -73.5919189453125,\n              -36.96251177659819\n            ],\n            [\n              -73.5919189453125,\n              -37.092430683283474\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-22","publicationStatus":"PW","scienceBaseUri":"598acddde4b09fa1cb0e13de","contributors":{"authors":[{"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":707343,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melnick, Daniel","contributorId":195525,"corporation":false,"usgs":false,"family":"Melnick","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":707344,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cisternas, Marco","contributorId":195526,"corporation":false,"usgs":false,"family":"Cisternas","given":"Marco","affiliations":[],"preferred":false,"id":707345,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moreno, Marcos","contributorId":195527,"corporation":false,"usgs":false,"family":"Moreno","given":"Marcos","email":"","affiliations":[],"preferred":false,"id":707346,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ely, Lisa","contributorId":195528,"corporation":false,"usgs":false,"family":"Ely","given":"Lisa","affiliations":[],"preferred":false,"id":707347,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70097572,"text":"sir20105070M - 2015 - Sediment-hosted stratabound copper deposit model","interactions":[],"lastModifiedDate":"2021-08-31T15:26:02.154065","indexId":"sir20105070M","displayToPublicDate":"2015-06-17T15:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5070","chapter":"M","title":"Sediment-hosted stratabound copper deposit model","docAbstract":"<p><span>This report contains a descriptive model of sediment-hosted stratabound copper (SSC) deposits that supersedes the model of Cox and others (2003). This model is for use in assessments of mineral resource potential. SSC deposits are the second most important sources of copper in the world behind porphyry copper deposits. Around 20 percent of the copper in the world is produced from this class of deposits. They are also the most important sources of cobalt in the world, and they are fourth among classes of ore deposits in production of silver. SSC deposits are the basis of the economies of three countries: Democratic Republic of Congo, Poland, and Zambia. This report provides a description of the key features of SSC deposits; it identifies their tectonic-sedimentary environments; it illustrates geochemical, geophysical, and geoenvironmental characteristics of SSC deposits; it reviews and evaluates hypotheses on how these deposits formed; it presents exploration and assessment guides; and it lists some gaps in our knowledge about the SSC deposits. A summary follows that provides overviews of many subjects concerning SSC deposits.</span></p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Mineral deposit model for resource assessment (Scientific Investigations Report 2010-5070)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105070M","usgsCitation":"Hayes, T.S., Cox, D.P., Bliss, J.D., Piatak, N., and Seal,, R., 2015, Sediment-hosted stratabound copper deposit model: U.S. Geological Survey Scientific Investigations Report 2010-5070, x, 147 p., https://doi.org/10.3133/sir20105070M.","productDescription":"x, 147 p.","startPage":"147","numberOfPages":"161","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-026182","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":301284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20105070m.jpg"},{"id":301282,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5070/m/"},{"id":301283,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5070/m/pdf/sir2010-5070m.pdf","text":"Report","size":"110 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55828c24e4b023124e8f3fb2","contributors":{"authors":[{"text":"Hayes, Timothy S. thayes@usgs.gov","contributorId":1547,"corporation":false,"usgs":true,"family":"Hayes","given":"Timothy","email":"thayes@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":548836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cox, Dennis P. dcox@usgs.gov","contributorId":2766,"corporation":false,"usgs":true,"family":"Cox","given":"Dennis","email":"dcox@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":548831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bliss, James D. jbliss@usgs.gov","contributorId":2790,"corporation":false,"usgs":true,"family":"Bliss","given":"James","email":"jbliss@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":548832,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":141203,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine M.","email":"npiatak@usgs.gov","affiliations":[],"preferred":false,"id":548834,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seal,, Robert R. II 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":141204,"corporation":false,"usgs":true,"family":"Seal,","given":"Robert R.","suffix":"II","email":"rseal@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":548835,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"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":"<p><span>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&reg; 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&amp;flag=1#sthash.p1XKDtF8.dpuf</span></p>","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":70148590,"text":"70148590 - 2015 - Nest-site selection and reproductive success of greater sage-grouse in a fire-affected habitat of northwestern Nevada","interactions":[],"lastModifiedDate":"2016-04-13T12:38:01","indexId":"70148590","displayToPublicDate":"2015-06-17T12:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Nest-site selection and reproductive success of greater sage-grouse in a fire-affected habitat of northwestern Nevada","docAbstract":"<p><span>Identifying links between micro-habitat selection and wildlife reproduction is imperative to population persistence and recovery. This information is particularly important for landscape species such as greater sage-grouse (</span><i>Centrocercus urophasianus</i><span>; sage-grouse). Although this species has been widely studied, because environmental factors can affect sage-grouse populations, local and regional studies are crucial for developing viable conservation strategies. We studied the habitat-use patterns of 71 radio-marked sage-grouse inhabiting an area affected by wildfire in the Virginia Mountains of northwestern Nevada during 2009&ndash;2011 to determine the effect of micro-habitat attributes on reproductive success. We measured standard vegetation parameters at nest and random sites using a multi-scale approach (range&thinsp;=&thinsp;0.01&ndash;15,527&thinsp;ha). We used an information-theoretic modeling approach to identify environmental factors influencing nest-site selection and survival, and determine whether nest survival was a function of resource selection. Sage-grouse selected micro-sites with greater shrub canopy cover and less cheatgrass (</span><i>Bromus tectorum</i><span>) cover than random sites. Total shrub canopy, including sagebrush (</span><i>Artemisia</i><span>&nbsp;spp.) and other shrub species, at small spatial scales (0.8&thinsp;ha and 3.1&thinsp;ha) was the single contributing selection factor to higher nest survival. These results indicate that reducing the risk of wildfire to maintain important sagebrush habitats could be emphasized in sage-grouse conservation strategies in Nevada. Managers may seek to mitigate the influx of annual grass invasion by preserving large intact sagebrush-dominated stands with a mixture of other shrub species. For this area of Nevada, the results suggest that &ge;40% total shrub canopy cover in sage-grouse nesting areas could yield improved reproductive success.&nbsp;</span></p>","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.899","usgsCitation":"Lockyer, Z.B., Coates, P.S., Casazza, M.L., Espinosa, S., and Delehanty, D., 2015, Nest-site selection and reproductive success of greater sage-grouse in a fire-affected habitat of northwestern Nevada: Journal of Wildlife Management, v. 79, no. 5, p. 785-797, https://doi.org/10.1002/jwmg.899.","productDescription":"13 p.","startPage":"785","endPage":"797","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043230","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":301275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Virginia Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.56558227539062,\n              39.90973623453719\n            ],\n            [\n              -119.65484619140625,\n              39.86231722624386\n            ],\n            [\n              -119.77157592773436,\n              39.94238358098156\n            ],\n            [\n              -119.79629516601562,\n              39.929747745342944\n            ],\n            [\n              -119.73999023437499,\n              39.871803651624425\n            ],\n            [\n              -119.77981567382812,\n              39.83174093314558\n            ],\n            [\n              -119.81689453125,\n              39.83490462943255\n            ],\n            [\n              -119.86495971679686,\n 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Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":548781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":548779,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Espinosa, Shawn","contributorId":20253,"corporation":false,"usgs":true,"family":"Espinosa","given":"Shawn","affiliations":[],"preferred":false,"id":548782,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Delehanty, David J.","contributorId":86683,"corporation":false,"usgs":true,"family":"Delehanty","given":"David J.","affiliations":[],"preferred":false,"id":548783,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"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":"<p>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.</p>","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":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":"<p>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, <i>Lasiurus cinereus semotus</i>. Here, we use molecular data to test the hypotheses that (1) Hawaiian <i>L</i>. <i>c</i>. <i>semotus</i> originated via dispersal from North American populations of <i>L</i>. <i>c</i>. <i>cinereus</i> rather than from South American <i>L</i>. <i>c</i>. <i>villosissimus</i>, 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.</p>","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":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":556866,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70146883,"text":"ofr20151079 - 2015 - Carbon dioxide storage in unconventional reservoirs workshop: summary of recommendations","interactions":[],"lastModifiedDate":"2015-06-17T09:31:13","indexId":"ofr20151079","displayToPublicDate":"2015-06-17T10:30:00","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":"2015-1079","title":"Carbon dioxide storage in unconventional reservoirs workshop: summary of recommendations","docAbstract":"<p>&ldquo;Unconventional reservoirs&rdquo; for carbon dioxide (CO<sub>2</sub>) storage&mdash;that is, geologic reservoirs in which changes to the rock trap CO<sub>2</sub>&nbsp;and therefore contribute to CO<sub>2</sub>&nbsp;storage&mdash;including coal, shale, basalt, and ultramafic rocks, were the focus of a U.S. Geological Survey (USGS) workshop held March 28 and 29, 2012, at the National Conservation Training Center in Shepherdstown, West Virginia. The goals of the workshop were to determine whether a detailed assessment of CO<sub>2</sub>&nbsp;storage capacity in unconventional reservoirs is warranted, and if so, to build a set of recommendations that could be used to develop a methodology to assess this storage capacity. Such an assessment would address only the technically available resource, independent of economic or policy factors. At the end of the workshop, participants agreed that sufficient knowledge exists to allow an assessment of the potential CO<sub>2</sub>&nbsp;storage resource in coals, organic-rich shales, and basalts. More work remains to be done before the storage resource in ultramafic rocks can be meaningfully assessed.</p>\n<p>In order to assess the CO<sub>2</sub>&nbsp;storage capacity of coals and organic-rich shales, the workshop participants agreed that the following several factors are key: sorption mechanisms and capacity, pore fluid composition and saturation, thermal maturity, formation thickness, and whether hydrocarbons have been extracted from the formation previously (for example, by enhanced gas or oil recovery).</p>\n<p>In order to assess the CO<sub>2</sub>&nbsp;storage capacity of basalts, the workshop participants agreed that key factors include temperature, pressure, pH, water chemistry, mineral chemistry, organic content, mineralogy, porosity, permeability, relative permeabilities, and CO<sub>2</sub>&nbsp;phase.</p>\n<p>The storage capacity for all unconventional reservoirs may be modeled using a volumetric equation starting with the extent of the rock unit and adjusted using these key factors and reaction terms. The ideas that were developed during this workshop can be used by USGS scientists to develop a methodology to assess the CO<sub>2</sub>&nbsp;storage resource in unconventional reservoirs. This methodology could then be released for public comment and peer review. After completing this development process, the USGS could then use the methodology to assess the CO<sub>2</sub>&nbsp;storage resource in unconventional reservoirs.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151079","usgsCitation":"Jones, K.B., and Blondes, M., 2015, Carbon dioxide storage in unconventional reservoirs workshop: summary of recommendations: U.S. Geological Survey Open-File Report 2015-1079, iii, 10 p., https://doi.org/10.3133/ofr20151079.","productDescription":"iii, 10 p.","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059685","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":301263,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1079/pdf/ofr2015-1079.pdf","text":"Report","size":"213 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":301264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151079.jpg"},{"id":301262,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1079/"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55828c20e4b023124e8f3f96","contributors":{"authors":[{"text":"Jones, Kevin B. 0000-0002-6386-2623 kevinjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6386-2623","contributorId":565,"corporation":false,"usgs":true,"family":"Jones","given":"Kevin","email":"kevinjones@usgs.gov","middleInitial":"B.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":545471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blondes, Madalyn S. 0000-0003-0320-0107 mblondes@usgs.gov","orcid":"https://orcid.org/0000-0003-0320-0107","contributorId":3598,"corporation":false,"usgs":true,"family":"Blondes","given":"Madalyn S.","email":"mblondes@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":545472,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70174031,"text":"70174031 - 2015 - On the sensitivity of transtensional versus transpressional tectonic regimes to remote dynamic triggering by Coulomb failure","interactions":[],"lastModifiedDate":"2016-06-24T10:54:14","indexId":"70174031","displayToPublicDate":"2015-06-17T10:15:00","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":"On the sensitivity of transtensional versus transpressional tectonic regimes to remote dynamic triggering by Coulomb failure","docAbstract":"<p>&nbsp;Accumulating evidence, although still strongly spatially aliased, indicates that although remote dynamic triggering of small-to-moderate (M<sub>w</sub>&lt;5) earthquakes can occur in all tectonic settings, transtensional stress regimes with normal and subsidiary strike-slip faulting seem to be more susceptible to dynamic triggering than transpressional regimes with reverse and subsidiary strike-slip faulting. Analysis of the triggering potential of Love- and Rayleigh-wave dynamic stresses incident on normal, reverse, and strike-slip faults assuming Andersonian faulting theory and simple Coulomb failure supports this apparent difference for rapid-onset triggering susceptibility.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120140292","usgsCitation":"Hill, D.P., 2015, On the sensitivity of transtensional versus transpressional tectonic regimes to remote dynamic triggering by Coulomb failure: Bulletin of the Seismological Society of America, v. 105, no. 3, p. 1339-1348, https://doi.org/10.1785/0120140292.","productDescription":"10 p.","startPage":"1339","endPage":"1348","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060012","costCenters":[{"id":617,"text":"Volcano Science 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,{"id":70154826,"text":"70154826 - 2015 - Increasing capture efficiency of pallid sturgeon <i>Scaphirhynchus albus</i> (Forbes and Richardson, 1905) and the reliability of catch rate estimates","interactions":[],"lastModifiedDate":"2016-07-08T16:41:27","indexId":"70154826","displayToPublicDate":"2015-06-17T06:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Increasing capture efficiency of pallid sturgeon <i>Scaphirhynchus albus</i> (Forbes and Richardson, 1905) and the reliability of catch rate estimates","docAbstract":"<p><span>This study evaluated the effects of environmental parameters on the probability of capturing endangered pallid sturgeon (</span><i>Scaphirhynchus albus</i><span>) using trotlines in the lower Mississippi River. Pallid sturgeon were sampled by trotlines year round from 2008 to 2011. A logistic regression model indicated water temperature (</span><i>T</i><span>; P</span><i>&nbsp;</i><span>&lt;</span><i>&nbsp;</i><span>0.01) and depth (</span><i>D</i><span>; P</span><i>&nbsp;</i><span>=</span><i>&nbsp;</i><span>0.03) had significant effects on capture probability (</span><i>Y</i><span>&nbsp;=&nbsp;&minus;1.75&nbsp;&minus; 0.06</span><i>T</i><span>&nbsp;+&nbsp;0.10</span><i>D</i><span>). Habitat type, surface current velocity, river stage, stage change and non-sturgeon bycatch were not significant predictors (P</span><i>&nbsp;</i><span>=</span><i>&nbsp;</i><span>0.26&ndash;0.63). Although pallid sturgeon were caught throughout the year, the model predicted that sampling should focus on times when the water temperature is less than 12&deg;C and in deeper water to maximize capture probability; these water temperature conditions commonly occur during November to March in the lower Mississippi River. Further, the significant effect of water temperature which varies widely over time, as well as water depth indicate that any efforts to use the catch rate to infer population trends will require the consideration of temperature and depth in standardized sampling efforts or adjustment of estimates.</span></p>","language":"English","publisher":"John Wiley & Sons, Inc.","doi":"10.1111/jai.12814","usgsCitation":"DeVries, R.J., Hann, D.A., and Schramm, H., 2015, Increasing capture efficiency of pallid sturgeon <i>Scaphirhynchus albus</i> (Forbes and Richardson, 1905) and the reliability of catch rate estimates: Journal of Applied Ichthyology, v. 31, no. 4, p. 603-608, https://doi.org/10.1111/jai.12814.","productDescription":"6 p.","startPage":"603","endPage":"608","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059805","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":472012,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jai.12814","text":"Publisher Index Page"},{"id":324979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"Lower Mississippi River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.2579345703125,\n              32.65325087996883\n            ],\n            [\n              -91.2579345703125,\n              33.83848275599514\n            ],\n            [\n              -90.8953857421875,\n              33.83848275599514\n            ],\n            [\n              -90.8953857421875,\n              32.65325087996883\n            ],\n            [\n              -91.2579345703125,\n              32.65325087996883\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"31","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-17","publicationStatus":"PW","scienceBaseUri":"5780ceb9e4b081161682236b","chorus":{"doi":"10.1111/jai.12814","url":"http://dx.doi.org/10.1111/jai.12814","publisher":"Wiley-Blackwell","authors":"DeVries R. J., Hann D. A., Schramm H. L.","journalName":"Journal of Applied Ichthyology","publicationDate":"6/17/2015","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"DeVries, R. J.","contributorId":145428,"corporation":false,"usgs":false,"family":"DeVries","given":"R.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":642019,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hann, D. A.","contributorId":144087,"corporation":false,"usgs":false,"family":"Hann","given":"D.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":642020,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schramm, H.L. Jr.","contributorId":103823,"corporation":false,"usgs":true,"family":"Schramm","given":"H.L.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":564240,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"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":"<p>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. </p>","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":70148023,"text":"70148023 - 2015 - Changes in total phosphorus concentration in the Red River of the North Basin, 1970-2012","interactions":[],"lastModifiedDate":"2017-10-12T20:01:18","indexId":"70148023","displayToPublicDate":"2015-06-17T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Changes in total phosphorus concentration in the Red River of the North Basin, 1970-2012","docAbstract":"<p><span>The Red River of the North drains much of eastern North Dakota and northwestern Minnesota and flows north into Manitoba, Canada, ultimately into Lake Winnipeg; therefore, water quality is an International concern. 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.</span></p>","largerWorkTitle":"ASABE/CSBE North Central Intersectional Meeting Papers","conferenceTitle":"ASABE/CSBE North Central Intersectional Meeting","conferenceDate":"April 10-11, 2015","conferenceLocation":"Fargo, ND","language":"English","publisher":"American Society of Agricultural and Biological Engineers","doi":"10.13031/rrv2015054","usgsCitation":"Ryberg, K.R., Akyuz, F.A., and Lin, W., 2015, Changes in total phosphorus concentration in the Red River of the North Basin, 1970-2012, <i>in</i> ASABE/CSBE North Central Intersectional Meeting Papers, Fargo, ND, April 10-11, 2015, Paper number RRV15-054, https://doi.org/10.13031/rrv2015054.","productDescription":"Paper number 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,{"id":70178131,"text":"70178131 - 2015 - Increasing seismicity in the U. S. midcontinent: Implications for earthquake hazard","interactions":[],"lastModifiedDate":"2016-11-03T13:10:36","indexId":"70178131","displayToPublicDate":"2015-06-17T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3568,"text":"The Leading Edge","active":true,"publicationSubtype":{"id":10}},"title":"Increasing seismicity in the U. S. midcontinent: Implications for earthquake hazard","docAbstract":"<p><span>Earthquake activity in parts of the central United States has increased dramatically in recent years. The space-time distribution of the increased seismicity, as well as numerous published case studies, indicates that the increase is of anthropogenic origin, principally driven by injection of wastewater coproduced with oil and gas from tight formations. Enhanced oil recovery and long-term production also contribute to seismicity at a few locations. Preliminary hazard models indicate that areas experiencing the highest rate of earthquakes in 2014 have a short-term (one-year) hazard comparable to or higher than the hazard in the source region of tectonic earthquakes in the New Madrid and Charleston seismic zones.</span><span><br></span></p>","language":"English","publisher":"Society of Exploration Geophysicists","publisherLocation":"Tulsa, OK","doi":"10.1190/tle34060618.1","usgsCitation":"Ellsworth, W.L., Llenos, A.L., McGarr, A.F., Michael, A.J., Rubinstein, J.L., Mueller, C.S., Petersen, M.D., and Calais, E., 2015, Increasing seismicity in the U. 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,{"id":70173509,"text":"70173509 - 2015 - Repeated count surveys help standardize multi-agency estimates of American Oystercatcher (<i>Haematopus palliatus</i>) 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 (<i>Haematopus palliatus</i>) abundance","docAbstract":"<p><span>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 (</span><i>Haematopus palliatus</i><span>) 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&ndash;5 occasions during April&ndash;June 2013.&nbsp;</span><i>N</i><span>-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&ndash;1,408) and 470 pairs (384&ndash;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&nbsp;</span><i>N</i><span>-mixture models were validated at 13 plots by exhaustive productivity studies (2&ndash;5 surveys wk</span><sup>&minus;1</sup><span>). Intensive productivity studies identified 78 breeding pairs across 13 productivity plots while the&nbsp;</span><i>N</i><span>-mixture model abundance estimate was 74 pairs (62&ndash;119) using only 1&ndash;5 replicated surveys season</span><sup>&minus;1</sup><span>. 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.</span></p>","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 (<i>Haematopus palliatus</i>) 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              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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, 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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":70173652,"text":"70173652 - 2015 - Tidal management sffects sub-adult fish assemblages in impounded South Carolina Marshes","interactions":[],"lastModifiedDate":"2016-11-30T15:05:05","indexId":"70173652","displayToPublicDate":"2015-06-17T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3751,"text":"Wetlands Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Tidal management sffects sub-adult fish assemblages in impounded South Carolina Marshes","docAbstract":"<p><span>In coastal South Carolina, most impounded marshes are managed for waterfowl; fewer are managed for fishes. Tidal control is central to each strategy but raises concerns that nursery function could be impaired. This research examined the assemblage composition of fishes during early-life stages. We sampled two impoundments of each management type monthly in 2008 and 2009. We used light traps to collect 61,527 sub-adult fish representing 21 species and 16 families and push nets to collect 12,670 sub-adult fish representing 13 species and 11 families. The effective number of species detected at larval stage in &ldquo;fish&rdquo; impoundments (summer mean&nbsp;=&nbsp;2.52&nbsp;&plusmn;&nbsp;0.20, winter mean&nbsp;=&nbsp;2.02&nbsp;&plusmn;&nbsp;0.66) was greater than in &ldquo;waterfowl&rdquo; impoundments (summer mean&nbsp;=&nbsp;1.27&nbsp;&plusmn;&nbsp;0.14, winter mean&nbsp;=&nbsp;1.06&nbsp;&plusmn;&nbsp;0.09); CI&nbsp;=&nbsp;90&nbsp;%. Species richness did not differ between management types, but hierarchical linear models predicted differences in assemblage composition. These findings underscore the importance of frequent water exchange for maintaining diverse assemblages of early-life-stage fishes in marsh impoundments.</span></p>","language":"English","publisher":"Springer Netherlands","doi":"10.1007/s11273-015-9435-1","usgsCitation":"Carswell, B.L., Peterson, J., and Jennings, C.A., 2015, Tidal management sffects sub-adult fish assemblages in impounded South Carolina Marshes: Wetlands Ecology and Management, v. 23, no. 6, p. 1015-1031, https://doi.org/10.1007/s11273-015-9435-1.","productDescription":"17 p.","startPage":"1015","endPage":"1031","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056879","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":323227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","county":"Beaufort","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.68702697753906,\n              32.67752870965116\n            ],\n            [\n              -80.69526672363281,\n              32.66539061924646\n            ],\n            [\n              -80.70762634277344,\n              32.65382900017623\n            ],\n            [\n              -80.68771362304686,\n              32.62318347873869\n            ],\n            [\n              -80.66230773925781,\n              32.62318347873869\n            ],\n            [\n              -80.64239501953125,\n              32.637061996573436\n            ],\n            [\n              -80.6568145751953,\n              32.67752870965116\n            ],\n            [\n              -80.68702697753906,\n              32.67752870965116\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"23","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-17","publicationStatus":"PW","scienceBaseUri":"5757f064e4b04f417c24dd2e","contributors":{"authors":[{"text":"Carswell, Ben L.","contributorId":171502,"corporation":false,"usgs":false,"family":"Carswell","given":"Ben","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":637756,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637757,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jennings, Cecil A. 0000-0002-6159-6026 jennings@usgs.gov","orcid":"https://orcid.org/0000-0002-6159-6026","contributorId":874,"corporation":false,"usgs":true,"family":"Jennings","given":"Cecil","email":"jennings@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":637758,"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 <i>in situ</i> overland flow detectors","title":"Measurements of the initiation of post-wildfire runoff during rainstorms using in situ overland flow detectors","docAbstract":"<p>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.</p><p>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.</p><p>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.</p>","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":70188062,"text":"70188062 - 2015 - Projection of corn production and stover-harvesting impacts on soil organic carbon dynamics in the U.S. Temperate Prairies","interactions":[],"lastModifiedDate":"2017-05-31T16:08:46","indexId":"70188062","displayToPublicDate":"2015-06-17T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Projection of corn production and stover-harvesting impacts on soil organic carbon dynamics in the U.S. Temperate Prairies","docAbstract":"<p><span>Terrestrial carbon sequestration potential is widely considered as a realistic option for mitigating greenhouse gas emissions. However, this potential may be threatened by global changes including climate, land use, and management changes such as increased corn stover harvesting for rising production of cellulosic biofuel. Therefore, it is critical to investigate the dynamics of soil organic carbon (SOC) at regional or global scale. This study simulated the corn production and spatiotemporal changes of SOC in the U.S. Temperate Prairies, which covers over one-third of the U.S. corn acreage, using a biogeochemical model with multiple climate and land-use change projections. The corn production (either grain yield or stover biomass) could reach 88.7–104.7 TgC as of 2050, 70–101% increase when compared to the base year of 2010. A removal of 50% stover at the regional scale could be a reasonable cap in view of maintaining SOC content and soil fertility especially in the beginning years. The projected SOC dynamics indicated that the average carbon sequestration potential across the entire region may vary from 12.7 to 19.6 g C/m</span><sup>2</sup><span>/yr (i.e., 6.6–10.2 g TgC/yr). This study not only helps understand SOC dynamics but also provides decision support for sustainable biofuel development.</span></p>","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/srep10830","usgsCitation":"Wu, Y., Liu, S., Young, C.J., Dahal, D., Sohl, T.L., and Davis, B., 2015, Projection of corn production and stover-harvesting impacts on soil organic carbon dynamics in the U.S. Temperate Prairies: Scientific Reports, v. 5, Article 10830: 12 p., https://doi.org/10.1038/srep10830.","productDescription":"Article 10830: 12 p.","ipdsId":"IP-064045","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472016,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep10830","text":"Publisher Index Page"},{"id":341844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70188369,"text":"70188369 - 2015 - Postearthquake relaxation evidence for laterally variable viscoelastic structure and water content in the Southern California mantle","interactions":[],"lastModifiedDate":"2017-06-07T11:10:51","indexId":"70188369","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Postearthquake relaxation evidence for laterally variable viscoelastic structure and water content in the Southern California mantle","docAbstract":"<p><span>I reexamine the lower crust and mantle relaxation following two large events in the Mojave Desert: the 1992 </span><i>M</i><span>7.3 Landers and 1999 </span><i>M</i><span>7.1 Hector Mine, California, earthquakes. Time series from continuous GPS sites out to 300 km from the ruptures are used to constrain models of postseismic relaxation. Crustal motions in the Mojave Desert region are elevated above background for several years following each event. To account for broadscale relaxation of the lower crust and mantle, the Burgers body model is employed, involving transient and steady state viscosities. Joint afterslip/postseismic relaxation modeling of the GPS time series up to one decade following the Hector Mine earthquake reveals a significant rheological contrast between a northwest trending “southwest domain” (that envelopes the San Andreas fault system and western Mojave Desert) and an adjacent “northeast domain” (that envelopes the Landers and Hector Mine rupture areas in the central Mojave Desert). The steady state viscosity of the northeast domain mantle asthenosphere is inferred to be ∼4 times greater than that of the southwest domain. This pattern is counter to that expected for regional heat flow, which is higher in the northeast domain, but it is explicable by means of a nonlinear rheology that includes dependence on both strain rate and water concentration. I infer that the southwest domain mantle has a relatively low steady state viscosity because of its high strain rate and water content. The relatively low mantle water content of the northeast domain is interpreted to result from the continual extraction of water through igneous and volcanic activity over the past ∼20 Myr.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014JB011603","usgsCitation":"Pollitz, F., 2015, Postearthquake relaxation evidence for laterally variable viscoelastic structure and water content in the Southern California mantle: Journal of Geophysical Research B: Solid Earth, v. 120, no. 4, p. 2672-2696, https://doi.org/10.1002/2014JB011603.","productDescription":"25 p.","startPage":"2672","endPage":"2696","ipdsId":"IP-057101","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":342212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.5,\n              33.5\n            ],\n            [\n              -117.25,\n              33.5\n            ],\n            [\n              -117.25,\n              35\n            ],\n            [\n              -115.5,\n              35\n            ],\n            [\n              -115.5,\n              33.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"120","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-11","publicationStatus":"PW","scienceBaseUri":"593910b1e4b0764e6c5e889f","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":697421,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70154756,"text":"70154756 - 2015 - Suspended-sediment transport and storage: A demonstration of acoustic methods in the evaluation of reservoir management strategies for a small water-supply reservoir in western Colorado","interactions":[],"lastModifiedDate":"2017-05-08T15:49:48","indexId":"70154756","displayToPublicDate":"2015-06-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Suspended-sediment transport and storage: A demonstration of acoustic methods in the evaluation of reservoir management strategies for a small water-supply reservoir in western Colorado","docAbstract":"<p>The U.S. Bureau of Reclamation (USBR) and local stakeholder groups are evaluating reservoir-management strategies within Paonia Reservoir. This small reservoir fills to capacity each spring and requires approximately half of the snowmelt-runoff volume from its sediment-laden source waters, Muddy Creek. The U.S. Geological Survey is currently conducting high-resolution (15-minute data-recording interval) sediment monitoring to characterize incoming and outgoing sediment flux during reservoir operations at two sites on Muddy Creek. The high-resolution monitoring is being used to establish current rates of reservoir sedimentation, support USBR sediment transport and storage models, and assess the viability of water-storage recovery in Paonia Reservoir. These sites are equipped with in situ, single-frequency, side-looking acoustic Doppler current meters in conjunction with turbidity sensors to monitor sediment flux. This project serves as a demonstration of the capability of using surrogate techniques to predict suspended-sediment concentrations in small streams (less than 20 meters in width and 2 meters in depth). These two sites provide the ability to report near real-time suspended-sediment concentrations through the U.S. Geological Survey National Water Information System (NWIS) web interface and National Real-Time Water Quality websites (NRTWQ) to aid in reservoir operations and assessments. </p>","conferenceTitle":"10th Federal Interagency Sedimentation Conference / 5th Federal Interagency Hydrologic Modeling Conference","conferenceDate":"April 19-23, 2015","conferenceLocation":"Reno, NV","language":"English","usgsCitation":"Williams, C.A., Richards, R.J., and Collins, K.L., 2015, Suspended-sediment transport and storage: A demonstration of acoustic methods in the evaluation of reservoir management strategies for a small water-supply reservoir in western Colorado, 10th Federal Interagency Sedimentation Conference / 5th Federal Interagency Hydrologic Modeling Conference, Reno, NV, April 19-23, 2015, 11 p.","productDescription":"11 p.","ipdsId":"IP-061300","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":340960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340958,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2015/openconf/modules/request.php?module=oc_program&action=summary.php&id=235"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.89373779296875,\n              38.515937313413474\n            ],\n            [\n              -107.2430419921875,\n              38.515937313413474\n            ],\n            [\n              -107.2430419921875,\n              39.31942523123949\n            ],\n            [\n              -108.89373779296875,\n              39.31942523123949\n            ],\n            [\n              -108.89373779296875,\n              38.515937313413474\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591183b5e4b0e541a03c1a68","contributors":{"authors":[{"text":"Williams, Cory A. 0000-0003-1461-7848 cawillia@usgs.gov","orcid":"https://orcid.org/0000-0003-1461-7848","contributorId":689,"corporation":false,"usgs":true,"family":"Williams","given":"Cory","email":"cawillia@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":563975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richards, Rodney J. 0000-0003-3953-984X rjrichar@usgs.gov","orcid":"https://orcid.org/0000-0003-3953-984X","contributorId":2204,"corporation":false,"usgs":true,"family":"Richards","given":"Rodney","email":"rjrichar@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":563976,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Kent L.","contributorId":51179,"corporation":false,"usgs":true,"family":"Collins","given":"Kent","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":563977,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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