{"pageNumber":"574","pageRowStart":"14325","pageSize":"25","recordCount":46856,"records":[{"id":70044213,"text":"70044213 - 2013 - Multi-scale habitat selection of the endangered Hawaiian Goose","interactions":[],"lastModifiedDate":"2013-11-15T10:24:10","indexId":"70044213","displayToPublicDate":"2013-07-30T16:24:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"Multi-scale habitat selection of the endangered Hawaiian Goose","docAbstract":"After a severe population reduction during the mid-20<sup>th</sup> century, the endangered Hawaiian Goose (Branta sandvicensis), or Nēnē, has only recently re-established its seasonal movement patterns on Hawai‘i Island. Little is currently understood about its movements and habitat use during the nonbreeding season. The objectives of this research were to identify habitats preferred by two subpopulations of the Nēnē and how preferences shift seasonally at both meso-and fine scales. From 2009 to 2011, ten Nēnē ganders were outfitted with 40-to 45-g satellite transmitters with GPS capability. We used binary logistic regression to compare habitat use versus availability and an information-theoretic approach for model selection. Meso-scale habitat modeling revealed that Nēnē preferred exotic grass and human-modified landscapes during the breeding and molting seasons and native subalpine shrubland during the nonbreeding season. Fine-scale habitat modeling further indicated preference for exotic grass, bunch grass, and absence of trees. Proximity to water was important during molt, suggesting that the presence of water may provide escape from introduced mammalian predators while Nēnē are flightless. Finescale species-composition data added relatively little to understanding of Nēnē habitat preferences modeled at the meso scale, suggesting that the meso-scale is appropriate for management planning. Habitat selection during our study was consistent with historical records, although dissimilar from more recent studies of other subpopulations. Nēnē make pronounced seasonal movements between existing reserves and use distinct habitat types; understanding annual patterns has implications for the protection and restoration of important seasonal habitats.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Condor","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cooper Ornithological Society","doi":"10.1525/cond.2012.120022","usgsCitation":"Leopold, C.R., and Hess, S.C., 2013, Multi-scale habitat selection of the endangered Hawaiian Goose: Condor, v. 115, no. 1, p. 17-27, https://doi.org/10.1525/cond.2012.120022.","productDescription":"11 p.","startPage":"17","endPage":"27","ipdsId":"IP-040017","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":473633,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/cond.2012.120022","text":"Publisher Index Page"},{"id":275549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275530,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1525/cond.2012.120022"}],"country":"United States","state":"Hawai'i","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.824585,19.106244 ], [ -155.824585,19.806762 ], [ -155.131073,19.806762 ], [ -155.131073,19.106244 ], [ -155.824585,19.106244 ] ] ] } } ] }","volume":"115","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f8d258e4b0cecbe8fa981c","contributors":{"authors":[{"text":"Leopold, Christina R.","contributorId":46817,"corporation":false,"usgs":true,"family":"Leopold","given":"Christina","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":475114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hess, Steven C. 0000-0001-6403-9922 shess@usgs.gov","orcid":"https://orcid.org/0000-0001-6403-9922","contributorId":3156,"corporation":false,"usgs":true,"family":"Hess","given":"Steven","email":"shess@usgs.gov","middleInitial":"C.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":475113,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042300,"text":"70042300 - 2013 - Environmental and physical controls on northern terrestrial methane emissions across permafrost zones","interactions":[],"lastModifiedDate":"2013-07-30T11:52:11","indexId":"70042300","displayToPublicDate":"2013-07-30T11:48:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Environmental and physical controls on northern terrestrial methane emissions across permafrost zones","docAbstract":"Methane (CH<sub>4</sub>) emissions from the northern high-latitude region represent potentially significant biogeochemical feedbacks to the climate system. We compiled a database of growing-season CH<sub>4</sub> emissions from terrestrial ecosystems located across permafrost zones, including 303 sites described in 65 studies. Data on environmental and physical variables, including permafrost conditions, were used to assess controls on CH<sub>4</sub> emissions. Water table position, soil temperature, and vegetation composition strongly influenced emissions and had interacting effects. Sites with a dense sedge cover had higher emissions than other sites at comparable water table positions, and this was an effect that was more pronounced at low soil temperatures. Sensitivity analysis suggested that CH<sub>4</sub> emissions from ecosystems where the water table on average is at or above the soil surface (wet tundra, fen underlain by permafrost, and littoral ecosystems) are more sensitive to variability in soil temperature than drier ecosystems (palsa dry tundra, bog, and fen), whereas the latter ecosystems conversely are relatively more sensitive to changes of the water table position. Sites with near-surface permafrost had lower CH<sub>4</sub> fluxes than sites without permafrost at comparable water table positions, a difference that was explained by lower soil temperatures. Neither the active layer depth nor the organic soil layer depth was related to CH<sub>4</sub> emissions. Permafrost thaw in lowland regions is often associated with increased soil moisture, higher soil temperatures, and increased sedge cover. In our database, lowland thermokarst sites generally had higher emissions than adjacent sites with intact permafrost, but emissions from thermokarst sites were not statistically higher than emissions from permafrost-free sites with comparable environmental conditions. Overall, these results suggest that future changes to terrestrial high-latitude CH<sub>4</sub> emissions will be more proximately related to changes in moisture, soil temperature, and vegetation composition than to increased availability of organic matter following permafrost thaw.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Change Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/gcb.12071","usgsCitation":"Olefeldt, D., Turetsky, M.R., Crill, P.M., and McGuire, A., 2013, Environmental and physical controls on northern terrestrial methane emissions across permafrost zones: Global Change Biology, v. 19, no. 2, p. 589-603, https://doi.org/10.1111/gcb.12071.","productDescription":"15 p.","startPage":"589","endPage":"603","ipdsId":"IP-042133","costCenters":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":275574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275572,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gcb.12071"}],"volume":"19","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-11-29","publicationStatus":"PW","scienceBaseUri":"51f8d256e4b0cecbe8fa9810","contributors":{"authors":[{"text":"Olefeldt, David","contributorId":37622,"corporation":false,"usgs":true,"family":"Olefeldt","given":"David","email":"","affiliations":[],"preferred":false,"id":471226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turetsky, Merritt R.","contributorId":80980,"corporation":false,"usgs":true,"family":"Turetsky","given":"Merritt","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":471227,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crill, Patrick M.","contributorId":96567,"corporation":false,"usgs":true,"family":"Crill","given":"Patrick","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":471228,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGuire, A. David","contributorId":18494,"corporation":false,"usgs":true,"family":"McGuire","given":"A. David","affiliations":[],"preferred":false,"id":471225,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70039857,"text":"70039857 - 2013 - Power to detect trends in abundance of secretive marsh birds: effects of species traits and sampling effort","interactions":[],"lastModifiedDate":"2013-07-30T11:39:55","indexId":"70039857","displayToPublicDate":"2013-07-30T11:31:00","publicationYear":"2013","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":"Power to detect trends in abundance of secretive marsh birds: effects of species traits and sampling effort","docAbstract":"Standardized protocols for surveying secretive marsh birds have been implemented across North America, but the efficacy of surveys to detect population trends has not been evaluated. We used survey data collected from populations of marsh birds across North America and simulations to explore how characteristics of bird populations (proportion of survey stations occupied, abundance at occupied stations, and detection probability) and aspects of sampling effort (numbers of survey routes, stations/route, and surveys/station/year) affect statistical power to detect trends in abundance of marsh bird populations. In general, the proportion of survey stations along a route occupied by a species had a greater relative effect on power to detect trends than did the number of birds detected per survey at occupied stations. Uncertainty introduced by imperfect detection during surveys reduced power to detect trends considerably, but across the range of detection probabilities for most species of marsh birds, variation in detection probability had only a minor influence on power. For species that occupy a relatively high proportion of survey stations (0.20), have relatively high abundances at occupied stations (2.0 birds/station), and have high detection probability (0.50), ≥40 routes with 10 survey stations per route surveyed 3 times per year would provide an 80% chance of detecting a 3% annual decrease in abundance after 20 years of surveys. Under the same assumptions but for species that are less common, ≥100 routes would be needed to achieve the same power. Our results can help inform the design of programs to monitor trends in abundance of marsh bird populations, especially with regards to the amount of sampling effort necessary to meet programmatic goals.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jwmg.505","usgsCitation":"Steidl, R.J., Conway, C.J., and Litt, A., 2013, Power to detect trends in abundance of secretive marsh birds: effects of species traits and sampling effort: Journal of Wildlife Management, v. 77, no. 3, p. 445-453, https://doi.org/10.1002/jwmg.505.","productDescription":"9 p.","startPage":"445","endPage":"453","numberOfPages":"9","ipdsId":"IP-038132","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":275571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275570,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.505"}],"volume":"77","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-01-24","publicationStatus":"PW","scienceBaseUri":"51f8d25ae4b0cecbe8fa982c","contributors":{"authors":[{"text":"Steidl, Robert J.","contributorId":21849,"corporation":false,"usgs":true,"family":"Steidl","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":467076,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":467075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Litt, Andrea R.","contributorId":22226,"corporation":false,"usgs":true,"family":"Litt","given":"Andrea R.","affiliations":[],"preferred":false,"id":467077,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003664,"text":"70003664 - 2013 - Estimating occupancy and predicting numbers of gray wolf packs in Montana using hunter surveys","interactions":[],"lastModifiedDate":"2018-01-04T15:24:39","indexId":"70003664","displayToPublicDate":"2013-07-30T09:23:04","publicationYear":"2013","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":"Estimating occupancy and predicting numbers of gray wolf packs in Montana using hunter surveys","docAbstract":"<p>Reliable knowledge of the status and trend of carnivore populations is critical to their conservation and management. Methods for monitoring carnivores, however, are challenging to conduct across large spatial scales. In the Northern Rocky Mountains, wildlife managers need a time- and cost-efficient method for monitoring gray wolf (Canis lupus) populations. Montana Fish, Wildlife and Parks (MFWP) conducts annual telephone surveys of &gt;50,000 deer and elk hunters. We explored how survey data on hunters' sightings of wolves could be used to estimate the occupancy and distribution of wolf packs and predict their abundance in Montana for 2007&ndash;2009. We assessed model utility by comparing our predictions to MFWP minimum known number of wolf packs. We minimized false positive detections by identifying a patch as occupied if 2&ndash;25 wolves were detected by &ge;3 hunters. Overall, estimates of the occupancy and distribution of wolf packs were generally consistent with known distributions. Our predictions of the total area occupied increased from 2007 to 2009 and predicted numbers of wolf packs were approximately 1.34&ndash;1.46 times the MFWP minimum counts for each year of the survey. Our results indicate that multi-season occupancy models based on public sightings can be used to monitor populations and changes in the spatial distribution of territorial carnivores across large areas where alternative methods may be limited by personnel, time, accessibility, and budget constraints.</p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.562","usgsCitation":"Rich, L.N., Russell, R.E., Glenn, E., Mitchell, M.S., Gude, J., Podruzny, K.M., Sime, C.A., Laudon, K., Ausband, D., and Nichols, J., 2013, Estimating occupancy and predicting numbers of gray wolf packs in Montana using hunter surveys: Journal of Wildlife Management, v. 77, no. 6, p. 1280-1289, https://doi.org/10.1002/jwmg.562.","productDescription":"10 p.","startPage":"1280","endPage":"1289","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-028210","costCenters":[{"id":399,"text":"Montana Cooperative Wildlife Research Unit","active":false,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":275554,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.05,44.36 ], [ -116.05,49.0 ], [ -104.04,49.0 ], [ -104.04,44.36 ], [ -116.05,44.36 ] ] ] } } ] }","volume":"77","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-06-26","publicationStatus":"PW","scienceBaseUri":"51f8d257e4b0cecbe8fa9814","contributors":{"authors":[{"text":"Rich, Lindsey N.","contributorId":42119,"corporation":false,"usgs":true,"family":"Rich","given":"Lindsey","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":348233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Russell, Robin E. 0000-0001-8726-7303 rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":3998,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":348231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glenn, Elizabeth M.","contributorId":96568,"corporation":false,"usgs":true,"family":"Glenn","given":"Elizabeth M.","affiliations":[],"preferred":false,"id":348238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":348230,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gude, Justin A.","contributorId":95780,"corporation":false,"usgs":true,"family":"Gude","given":"Justin A.","affiliations":[],"preferred":false,"id":348237,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Podruzny, Kevin M.","contributorId":85865,"corporation":false,"usgs":true,"family":"Podruzny","given":"Kevin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":348236,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sime, Carolyn A.","contributorId":76627,"corporation":false,"usgs":true,"family":"Sime","given":"Carolyn","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":348235,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Laudon, Kent","contributorId":16298,"corporation":false,"usgs":true,"family":"Laudon","given":"Kent","email":"","affiliations":[],"preferred":false,"id":348232,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ausband, David E.","contributorId":51441,"corporation":false,"usgs":true,"family":"Ausband","given":"David E.","affiliations":[],"preferred":false,"id":348234,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":405,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":348229,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70047284,"text":"dsDS709CC - 2013 - Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Parwan mineral district in Afghanistan: Chapter CC in <i>Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan</i>","interactions":[],"lastModifiedDate":"2013-07-30T09:40:27","indexId":"dsDS709CC","displayToPublicDate":"2013-07-29T20:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"709","chapter":"CC","title":"Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Parwan mineral district in Afghanistan: Chapter CC in <i>Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan</i>","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations, prepared databases for mineral-resource target areas in Afghanistan. The purpose of the databases is to (1) provide useful data to ground-survey crews for use in performing detailed assessments of the areas and (2) provide useful information to private investors who are considering investment in a particular area for development of its natural resources. The set of satellite-image mosaics provided in this Data Series (DS) is one such database. Although airborne digital color-infrared imagery was acquired for parts of Afghanistan in 2006, the image data have radiometric variations that preclude their use in creating a consistent image mosaic for geologic analysis. Consequently, image mosaics were created using ALOS (Advanced Land Observation Satellite; renamed Daichi) satellite images, whose radiometry has been well determined (Saunier, 2007a,b). This part of the DS consists of the locally enhanced ALOS image mosaics for the Parwan mineral district, which has gold and copper deposits.\n\nALOS was launched on January 24, 2006, and provides multispectral images from the AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor in blue (420–500 nanometer, nm), green (520–600 nm), red (610–690 nm), and near-infrared (760–890 nm) wavelength bands with an 8-bit dynamic range and a 10-meter (m) ground resolution. The satellite also provides a panchromatic band image from the PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) sensor (520–770 nm) with the same dynamic range but a 2.5-m ground resolution. The image products in this DS incorporate copyrighted data provided by the Japan Aerospace Exploration Agency (©JAXA,2006, 2007), but the image processing has altered the original pixel structure and all image values of the JAXA ALOS data, such that original image values cannot be recreated from this DS. As such, the DS products match JAXA criteria for value added products, which are not copyrighted, according to the ALOS end-user license agreement.\n\nelevation angles (near summer solstice) and (2) the least cloud, cloud-shadow, and snow cover. The multispectral and panchromatic data were orthorectified with ALOS satellite ephemeris data, a process which is not as accurate as orthorectification using digital elevation models (DEMs); however, the ALOS processing center did not have a precise DEM. As a result, the multispectral and panchromatic image pairs were generally not well registered to the surface and not coregistered well enough to perform resolution enhancement on the multispectral data. Therefore, it was necessary to (1) register the 10-m AVNIR multispectral imagery to a well-controlled Landsat image base, (2) mosaic the individual multispectral images into a single image of the entire area of interest, (3) register each panchromatic image to the registered multispectral image base, and (4) mosaic the individual panchromatic images into a single image of the entire area of interest. The two image-registration steps were facilitated using an automated control-point algorithm developed by the USGS that allows image coregistration to within one picture element. Before rectification, the multispectral and panchromatic images were converted to radiance values and then to relative-reflectance values using the methods described in Davis (2006). Mosaicking the multispectral or panchromatic images started with the image with the highest sun-elevation angle and the least atmospheric scattering, which was treated as the standard image. The band-reflectance values of all other multispectral or panchromatic images within the area were sequentially adjusted to that of the standard image by determining band-reflectance correspondence between overlapping images using linear least-squares analysis. The resolution of the multispectral image mosaic was then increased to that of the panchromatic image mosaic using the SPARKLE logic, which is described in Davis (2006). Each of the four-band images within the resolution-enhanced image mosaic was individually subjected to a local-area histogram stretch algorithm (described in Davis, 2007), which stretches each band’s picture element based on the digital values of all picture elements within a 500-m radius. The final databases, which are provided in this DS, are three-band, color-composite images of the local-area-enhanced, natural-color data (the blue, green, and red wavelength bands) and color-infrared data (the green, red, and near-infrared wavelength bands).\n\nAll image data were initially projected and maintained in Universal Transverse Mercator (UTM) map projection using the target area’s local zone (42 for Parwan) and the WGS84 datum. The final image mosaics were subdivided into two overlapping tiles or quadrants because of the large size of the target area. The two image tiles (or quadrants) for the North Bamyan area are provided as embedded geotiff images, which can be read and used by most geographic information system (GIS) and image-processing software. The tiff world files (tfw) are provided, even though they are generally not needed for most software to read an embedded geotiff image.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan (Data Series 709)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dsDS709CC","collaboration":"Prepared in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations and the Afghanistan Geological Survey; This report is Chapter CC in <i>Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan</i>. For more information, see: <a href=\"http://pubs.er.usgs.gov/publication/ds709\" target=\"_blank\">Data Series 709</a>.","usgsCitation":"Davis, P.A., 2013, Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Parwan mineral district in Afghanistan: Chapter CC in <i>Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan</i>: U.S. Geological Survey Data Series 709, HTML Document; Readme Text; 4 Index Maps; 4 Image Files; 4 Metadata Files; Shapefiles, https://doi.org/10.3133/dsDS709CC.","productDescription":"HTML Document; Readme Text; 4 Index Maps; 4 Image Files; 4 Metadata Files; Shapefiles","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-049057","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":275537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/dsds709cc.PNG"},{"id":275531,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/709/cc/"},{"id":275536,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/709/cc/shapefiles/shapefiles.html"},{"id":275532,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/ds/709/cc/1_readme.txt"},{"id":275533,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/709/cc/index_maps/index_maps.html"},{"id":275534,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/ds/709/cc/image_files/image_files.html"},{"id":275535,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/709/cc/metadata/metadata.html"}],"country":"Afghanistan","otherGeospatial":"Parwan Mineral District","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 58.0,28.0 ], [ 58.0,40.0 ], [ 78.0,40.0 ], [ 78.0,28.0 ], [ 58.0,28.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f780d6e4b02e26443a9329","contributors":{"authors":[{"text":"Davis, Philip A. pdavis@usgs.gov","contributorId":692,"corporation":false,"usgs":true,"family":"Davis","given":"Philip","email":"pdavis@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":481610,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044756,"text":"70044756 - 2013 - Mapping wildfire burn severity in the Arctic Tundra from downsampled MODIS data","interactions":[],"lastModifiedDate":"2013-08-12T09:42:50","indexId":"70044756","displayToPublicDate":"2013-07-29T13:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Mapping wildfire burn severity in the Arctic Tundra from downsampled MODIS data","docAbstract":"Wildfires are historically infrequent in the arctic tundra, but are projected to increase with climate warming. Fire effects on tundra ecosystems are poorly understood and difficult to quantify in a remote region where a short growing season severely limits ground data collection. Remote sensing has been widely utilized to characterize wildfire regimes, but primarily from the Landsat sensor, which has limited data acquisition in the Arctic. Here, coarse-resolution remotely sensed data are assessed as a means to quantify wildfire burn severity of the 2007 Anaktuvuk River Fire in Alaska, the largest tundra wildfire ever recorded on Alaska's North Slope. Data from Landsat Thematic Mapper (TM) and downsampled Moderate-resolution Imaging Spectroradiometer (MODIS) were processed to spectral indices and correlated to observed metrics of surface, subsurface, and comprehensive burn severity. Spectral indices were strongly correlated to surface severity (maximum R2 = 0.88) and slightly less strongly correlated to substrate severity. Downsampled MODIS data showed a decrease in severity one year post-fire, corroborating rapid vegetation regeneration observed on the burned site. These results indicate that widely-used spectral indices and downsampled coarse-resolution data provide a reasonable supplement to often-limited ground data collection for analysis and long-term monitoring of wildfire effects in arctic ecosystems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Arctic, Antarctic, and Alpine Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Institute of Arctic and Alpine Research (INSTAAR)","doi":"10.1657/1938-4246-45.1.64","usgsCitation":"Kolden, C.A., and Rogan, J., 2013, Mapping wildfire burn severity in the Arctic Tundra from downsampled MODIS data: Arctic, Antarctic, and Alpine Research, v. 45, no. 1, p. 64-76, https://doi.org/10.1657/1938-4246-45.1.64.","productDescription":"13 p.","startPage":"64","endPage":"76","ipdsId":"IP-018916","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":473641,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1657/1938-4246-45.1.64","text":"Publisher Index Page"},{"id":275517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275509,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1657/1938-4246-45.1.64"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -151.3861,68.8704 ], [ -151.3861,69.311 ], [ -149.7285,69.311 ], [ -149.7285,68.8704 ], [ -151.3861,68.8704 ] ] ] } } ] }","volume":"45","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-01-05","publicationStatus":"PW","scienceBaseUri":"51f780d6e4b02e26443a932d","contributors":{"authors":[{"text":"Kolden, Crystal A.","contributorId":98610,"corporation":false,"usgs":true,"family":"Kolden","given":"Crystal","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":476287,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogan, John","contributorId":83008,"corporation":false,"usgs":true,"family":"Rogan","given":"John","email":"","affiliations":[],"preferred":false,"id":476286,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044614,"text":"70044614 - 2013 - Intercontinental migratory connectivity and population structuring of Dunlins from western Alaska","interactions":[],"lastModifiedDate":"2018-05-20T11:30:37","indexId":"70044614","displayToPublicDate":"2013-07-29T12:47:00","publicationYear":"2013","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":"Intercontinental migratory connectivity and population structuring of Dunlins from western Alaska","docAbstract":"The Dunlin (Calidris alpina) is a polytypic shorebird with complex patterns of distribution and migration throughout its holarctic range. We analyzed mark-re sighting data obtained between 1977 and 2010 from birds captured at two major staging areas in western Alaska to test the hypothesis that the migration patterns of Alaskan populations are a mixture of parallel and chain, similar to those of Dunlin populations in the western Palearctic. Birds marked on the Yukon—Kuskokwim Delta were found wintering in both Asia and North America, which documented the unexpected mixing of C. a. arcticola from northern Alaska and C. a. pacifica from western Alaska and contradicted our initial prediction of parallel migration pathways for these two subspecies. In its North American winter range C. a. pacifica segregated according to location of marking, confirming our prediction of a chain migration pattern within this population. Individuals of C. a. pacifica marked on the delta were resighted significantly farther north, mostly in southern British Columbia and Washington, than birds marked on the second, more southerly staging area on the Alaska Peninsula, which were resighted primarily in the San Francisco Bay area of northern California. We recommend additional studies use a combination of intrinsic and extrinsic markers to quantify the strength of migratory connectivity between breeding, staging, and wintering areas. Such information is needed to guide conservation efforts because the Dunlin and other waterbirds are losing intertidal habitats at an unprecedented rate and scale, particularly in the Yellow Sea and other parts of Asia.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Condor","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cooper Ornithological Society","doi":"10.1525/cond.2013.120127","usgsCitation":"Gill, R., Handel, C.M., and Ruthrauff, D.R., 2013, Intercontinental migratory connectivity and population structuring of Dunlins from western Alaska: The Condor, v. 115, no. 3, p. 525-534, https://doi.org/10.1525/cond.2013.120127.","productDescription":"10 p.","startPage":"525","endPage":"534","numberOfPages":"10","ipdsId":"IP-041725","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":280757,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280758,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1525/cond.2013.120127"}],"country":"United States","state":"Alaska","otherGeospatial":"Angyoyaravak Bay;Egegik Bay;Izembek Lagoon;Kigigak Bay;Nelson Lagoon;Ugashik Bay;Yukon-kuskokwim Delta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -169.53,51.21 ], [ -169.53,66.59 ], [ -152.93,66.59 ], [ -152.93,51.21 ], [ -169.53,51.21 ] ] ] } } ] }","volume":"115","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd62cbe4b0b290850fe696","contributors":{"authors":[{"text":"Gill, Robert E. Jr. 0000-0002-6385-4500 rgill@usgs.gov","orcid":"https://orcid.org/0000-0002-6385-4500","contributorId":171747,"corporation":false,"usgs":true,"family":"Gill","given":"Robert E.","suffix":"Jr.","email":"rgill@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":476012,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":476011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruthrauff, Daniel R. 0000-0003-1355-9156 druthrauff@usgs.gov","orcid":"https://orcid.org/0000-0003-1355-9156","contributorId":4181,"corporation":false,"usgs":true,"family":"Ruthrauff","given":"Daniel","email":"druthrauff@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":476013,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047264,"text":"sir20135041 - 2013 - Hydrogeology, groundwater seepage, nitrate distribution, and flux at the Raleigh hydrologic research station, Wake County, North Carolina, 2005-2007","interactions":[],"lastModifiedDate":"2017-02-07T10:21:11","indexId":"sir20135041","displayToPublicDate":"2013-07-29T09:41:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5041","title":"Hydrogeology, groundwater seepage, nitrate distribution, and flux at the Raleigh hydrologic research station, Wake County, North Carolina, 2005-2007","docAbstract":"rom 2005 to 2007, the U.S. Geological Survey and the North Carolina Department of Environment and Natural Resources, Division of Water Quality, conducted a study to describe the geologic framework, measure groundwater quality, characterize the groundwater-flow system, and describe the groundwater/surface-water interaction at the 60-acre Raleigh hydrogeologic research station (RHRS) located at the Neuse River Waste Water Treatment Plant in eastern Wake County, North Carolina. Previous studies have shown that the local groundwater quality of the surficial and bedrock aquifers at the RHRS had been affected by high levels of nutrients. Geologic, hydrologic, and water-quality data were collected from 3 coreholes, 12 wells, and 4 piezometers at 3 well clusters, as well as from 2 surface-water sites, 2 multiport piezometers, and 80 discrete locations in the streambed of the Neuse River. Data collected were used to evaluate the three primary zones of the Piedmont aquifer (regolith, transition zone, and fractured bedrock) and characterize the interaction of groundwater and surface water as a mechanism of nutrient transport to the Neuse River. A conceptual hydrogeologic cross section across the RHRS was constructed using new and existing data. Two previously unmapped north striking, nearly vertical diabase dikes intrude the granite beneath the site. Groundwater within the diabase dike appeared to be hydraulically isolated from the surrounding granite bedrock and regolith. A correlation exists between foliation and fracture orientation, with most fractures striking parallel to foliation. Flowmeter logging in two of the bedrock wells indicated that not all of the water-bearing fractures labeled as water bearing were hydraulically active, even when stressed by pumping. Groundwater levels measured in wells at the RHRS displayed climatic and seasonal trends, with elevated groundwater levels occurring during the late spring and declining to a low in the late fall. Vertical gradients in the groundwater discharge area near the Neuse River were complex and were affected by fluctuations in river stage, with the exception of a well completed in a diabase dike. Water-quality data from the wells and surface-water sites at the RHRS were collected continuously as well as during periodic sampling events. Surface-water samples collected from a tributary were most similar in chemical composition to groundwater found in the regolith and transition zone. Nitrate (measured as nitrite plus nitrate, as nitrogen) concentrations in the sampled wells and tributary ranged from about 5 to more than 120 milligrams per liter as nitrogen. Waterborne continuous resistivity profiling conducted on the Neuse River in the area of the RHRS measured areas of low apparent resistivity that likely represent groundwater contaminated by high concentrations of nitrate. These areas were located on either side of a diabase dike and at the outfall of two unnamed tributaries. The diabase dike preferentially directed the discharge of groundwater to the Neuse River and may isolate groundwater movement laterally. Discrete temperature measurements made within the pore water beneath the Neuse River revealed seeps of colder groundwater discharging into warmer surface water near a diabase dike. Water-quality samples collected from the pore water beneath the Neuse River indicated that nitrate was present at concentrations as high as 80 milligrams per liter as nitrogen on the RHRS side of the river. The highest concentrations of nitrate were located within pore water collected from an area near a diabase dike that was identified as a suspected seepage area. Hydraulic head was measured and pore water samples were collected from two 140-centimeter-deep (55.1-inch-deep) multiport piezometers that were installed in bed sediments on opposite sides of a diabase dike. The concentration of nitrate in pore water at a suspected seepage area ranged from 42 to 82 milligrams per liter as nitrogen with a median concentration of 79 milligrams per liter as nitrogen. On the opposite side of the dike, concentrations of nitrate in pore water samples ranged from 3 to 91 milligrams per liter as nitrogen with a median concentration of 52 milligrams per liter. At one of the multiport piezometers the vertical gradient of hydraulic head between the Neuse River and the groundwater was too small to measure. At the multiport piezometer located in the suspected seepage area, an upward gradient of about 0.1 was present and explains the occurrence of higher concentrations of nitrate near the sediment/water interface. Horizontal seepage flux from the surficial aquifer to the edge of the Neuse River was estimated for 2006. Along a 130-foot flow path, the estimated seepage flux ranged from –0.52 to 0.2 foot per day with a median of 0.09 foot per day. The estimated advective horizontal mass flux of nitrate along a 300-foot reach of the Neuse River ranged from –10.9 to 5 pounds per day with a median of 2.2 pounds per day. The total horizontal mass flux of nitrate from the surficial aquifer to the Neuse River along the 130-foot flow path was estimated to be about 750 pounds for all of 2006. Seepage meters were deployed on the bed of the Neuse River in the areas of the multiport piezometers on either side of the diabase dike to estimate rates of vertical groundwater discharge and flux of nitrate. The average estimated daily seepage flux differed by two orders of magnitude between seepage areas. The potential vertical flux of nitrate from groundwater to the Neuse River was estimated at an average of 2.5 grams per day near one of the multiport piezometers and an average of 784 grams per day at the other. These approximations suggest that under some hydrologic conditions there is the potential for substantial quantities of nitrate to discharge from the groundwater to the Neuse River.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135041","collaboration":"Prepared In Cooperation With The North Carolina Department Of Environment And Natural Resources Division Of Water Quality","usgsCitation":"McSwain, K., Bolich, R.E., and Chapman, M.J., 2013, Hydrogeology, groundwater seepage, nitrate distribution, and flux at the Raleigh hydrologic research station, Wake County, North Carolina, 2005-2007: U.S. Geological Survey Scientific Investigations Report 2013-5041, viii, 54 p., https://doi.org/10.3133/sir20135041.","productDescription":"viii, 54 p.","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2005-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":275495,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5041/"},{"id":275496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135041.gif"},{"id":275494,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5041/pdf/sir2013-5041.pdf"}],"country":"United States","state":"North Carolina","otherGeospatial":"Neuse River Waste Water Treatment Plant","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.32,33.84 ], [ -84.32,36.59 ], [ -78.04,36.59 ], [ -78.04,33.84 ], [ -84.32,33.84 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f780d6e4b02e26443a9325","contributors":{"authors":[{"text":"McSwain, Kristen Bukowski","contributorId":104458,"corporation":false,"usgs":true,"family":"McSwain","given":"Kristen Bukowski","affiliations":[],"preferred":false,"id":481565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bolich, Richard E.","contributorId":89615,"corporation":false,"usgs":true,"family":"Bolich","given":"Richard","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":481564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chapman, Melinda J. 0000-0003-4021-0320 mjchap@usgs.gov","orcid":"https://orcid.org/0000-0003-4021-0320","contributorId":1597,"corporation":false,"usgs":true,"family":"Chapman","given":"Melinda","email":"mjchap@usgs.gov","middleInitial":"J.","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":481563,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70118239,"text":"70118239 - 2013 - cBathy: A robust algorithm for estimating nearshore bathymetry","interactions":[],"lastModifiedDate":"2014-07-28T09:42:35","indexId":"70118239","displayToPublicDate":"2013-07-28T09:38:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"cBathy: A robust algorithm for estimating nearshore bathymetry","docAbstract":"A three-part algorithm is described and tested to provide robust bathymetry maps based solely on long time series observations of surface wave motions. The first phase consists of frequency-dependent characterization of the wave field in which dominant frequencies are estimated by Fourier transform while corresponding wave numbers are derived from spatial gradients in cross-spectral phase over analysis tiles that can be small, allowing high-spatial resolution. Coherent spatial structures at each frequency are extracted by frequency-dependent empirical orthogonal function (EOF). In phase two, depths are found that best fit weighted sets of frequency-wave number pairs. These are subsequently smoothed in time in phase 3 using a Kalman filter that fills gaps in coverage and objectively averages new estimates of variable quality with prior estimates. Objective confidence intervals are returned. Tests at Duck, NC, using 16 surveys collected over 2 years showed a bias and root-mean-square (RMS) error of 0.19 and 0.51 m, respectively but were largest near the offshore limits of analysis (roughly 500 m from the camera) and near the steep shoreline where analysis tiles mix information from waves, swash and static dry sand. Performance was excellent for small waves but degraded somewhat with increasing wave height. Sand bars and their small-scale alongshore variability were well resolved. A single ground truth survey from a dissipative, low-sloping beach (Agate Beach, OR) showed similar errors over a region that extended several kilometers from the camera and reached depths of 14 m. Vector wave number estimates can also be incorporated into data assimilation models of nearshore dynamics.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research C: Oceans","largerWorkSubtype":{"id":10,"text":"Journal Article"},"publisher":"Journal of Geophysical Research: Oceans","doi":"10.1002/jgrc.20199","usgsCitation":"Plant, N.G., Holman, R., and Holland, K.T., 2013, cBathy: A robust algorithm for estimating nearshore bathymetry: Journal of Geophysical Research C: Oceans, v. 118, no. 5, p. 2595-2609, https://doi.org/10.1002/jgrc.20199.","productDescription":"15 p.","startPage":"2595","endPage":"2609","ipdsId":"IP-040687","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":291099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291078,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrc.20199"}],"country":"United States","state":"North Carolina","city":"Duck","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.776116,36.150973 ], [ -75.776116,36.231587 ], [ -75.736833,36.231587 ], [ -75.736833,36.150973 ], [ -75.776116,36.150973 ] ] ] } } ] }","volume":"118","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-05-22","publicationStatus":"PW","scienceBaseUri":"57f7f287e4b0bc0bec0a0434","contributors":{"authors":[{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":496487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holman, Rob","contributorId":46432,"corporation":false,"usgs":true,"family":"Holman","given":"Rob","affiliations":[],"preferred":false,"id":496488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holland, K. Todd","contributorId":68748,"corporation":false,"usgs":true,"family":"Holland","given":"K.","email":"","middleInitial":"Todd","affiliations":[],"preferred":false,"id":496489,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047262,"text":"ofr20131144 - 2013 - Near-field receiving water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California, 2012","interactions":[],"lastModifiedDate":"2013-07-27T11:45:43","indexId":"ofr20131144","displayToPublicDate":"2013-07-27T11:32:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1144","title":"Near-field receiving water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California, 2012","docAbstract":"Trace-metal concentrations in sediment and in the clam Macoma petalum (formerly reported as Macoma balthica), clam reproductive activity, and benthic macroinvertebrate community structure were investigated in a mudflat 1 kilometer south of the discharge of the Palo Alto Regional Water Quality Control Plant (PARWQCP) in South San Francisco Bay, Calif. This report includes the data collected by U.S. Geological Survey (USGS) scientists for the period January to December 2012. These data serve as the basis for the City of Palo Alto’s Near-Field Receiving Water Monitoring Program, initiated in 1994.\n\nFollowing significant reductions in the late 1980s, silver (Ag) and copper (Cu) concentrations in sediment and in M. petalum appear to have stabilized. Data for other metals, including chromium (Cr), mercury (Hg), nickel (Ni), selenium (Se), and zinc (Zn), have been collected since 1994. Over this period, concentrations of these elements have remained relatively constant, aside from seasonal variation that is common to all elements. In 2012, concentrations of Ag and Cu in M. petalum varied seasonally in response to a combination of site-specific metal exposures and annual growth and reproduction, as reported for previous time periods. Seasonal patterns for other elements, including Cr, Ni, Zn, Hg, and Se were generally similar in timing and magnitude as those for Ag and Cu. In 2012, metal concentrations in both sediments and clam tissue were among the lowest concentrations on record. This record suggests that regional-scale factors now largely control sedimentary and bioavailable concentrations of Ag and Cu, as well as other elements of regulatory interest, at the Palo Alto site.\n\nAnalyses of the benthic community structure of a mudflat in South San Francisco Bay over a 39-year period show that changes in the community have occurred concurrent with reduced concentrations of metals in the sediment and in the tissues of the biosentinel clam, M. petalum, from the same area. Analysis of the M. petalum community shows increases in reproductive activity concurrent with the decline in metal concentrations in the tissues of this organism. Reproductive activity is presently stable (2012), with almost all animals initiating reproduction in the fall and spawning the following spring. The community has shifted from being dominated by several opportunistic species to a community where the species are more similar in abundance, a pattern that indicates a more stable community that is subjected to fewer stressors. In addition, two of the opportunistic species (Ampelisca abdita and Streblospio benedicti) that brood their young and live on the surface of the sediment in tubes have shown a continual decline in dominance coincident with the decline in metals; both species had short-lived rebounds in abundance in 2008, 2009, and 2010. Heteromastus filiformis (a subsurface polychaete worm that lives in the sediment, consumes sediment and organic particles residing in the sediment, and reproduces by laying its eggs on or in the sediment) showed a concurrent increase in dominance and, in the last several years before 2008, showed a stable population. H. filiformis abundance increased slightly in 2011–2012. An unidentified disturbance occurred on the mudflat in early 2008 that resulted in the loss of the benthic animals, except for those deep-dwelling animals like Macoma petalum. Animals immediately returned to the mudflat in 2008, which was the first indication that the disturbance was not due to a persistent toxin or to anoxia. The reproductive mode of most species present in 2012 is reflective of the species that were available either as pelagic larvae or as mobile adults. Although oviparous species were lower in number in this group, the authors hypothesize that these species will return slowly as more species move back into the area. The use of functional ecology was highlighted in the 2012 benthic community data, which show that the animals that have now returned to the mudflat are those that can respond successfully to a physical, nontoxic disturbance. Today, community data show a mix of animals that consume the sediment, filter feed, have pelagic larvae that must survive landing on the sediment, and brood their young. USGS scientists continue to observe the community’s response to the 2008 defaunation event because it allows them to examine the response of the community to a natural disturbance (possible causes include sediment accretion or freshwater inundation) and compare this recovery to the long-term recovery observed in the 1970s when the decline in sediment pollutants was the dominating factor.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131144","collaboration":"Prepared in cooperation with the City of Palo Alto, California","usgsCitation":"Dyke, J., Thompson, J.K., Cain, D.J., Kleckner, A.E., Parcheso, F., Luoma, S.N., and Hornberger, M.I., 2013, Near-field receiving water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California, 2012: U.S. Geological Survey Open-File Report 2013-1144, vi, 109 p.; Tables; Appendixes, https://doi.org/10.3133/ofr20131144.","productDescription":"vi, 109 p.; Tables; Appendixes","numberOfPages":"117","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2012-01-01","temporalEnd":"2012-12-31","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true}],"links":[{"id":275491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131144.gif"},{"id":275489,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1144/of2013-1144_tables.xlsx"},{"id":275490,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1144/of2013-1144_appendixes.xlsx"},{"id":275487,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1144/"},{"id":275488,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1144/of2013-1144_text.pdf"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.75,36.75 ], [ -122.75,38.5 ], [ -121.5,38.5 ], [ -121.5,36.75 ], [ -122.75,36.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f4ddd9e4b0838938b28033","contributors":{"authors":[{"text":"Dyke, Jessica jldyke@usgs.gov","contributorId":1035,"corporation":false,"usgs":true,"family":"Dyke","given":"Jessica","email":"jldyke@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":481556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Janet K. 0000-0002-1528-8452 jthompso@usgs.gov","orcid":"https://orcid.org/0000-0002-1528-8452","contributorId":1009,"corporation":false,"usgs":true,"family":"Thompson","given":"Janet","email":"jthompso@usgs.gov","middleInitial":"K.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":481555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cain, Daniel J. 0000-0002-3443-0493 djcain@usgs.gov","orcid":"https://orcid.org/0000-0002-3443-0493","contributorId":1784,"corporation":false,"usgs":true,"family":"Cain","given":"Daniel","email":"djcain@usgs.gov","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":481558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kleckner, Amy E. kleckner@usgs.gov","contributorId":4258,"corporation":false,"usgs":true,"family":"Kleckner","given":"Amy","email":"kleckner@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":481561,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parcheso, Francis 0000-0002-9471-7787 parchaso@usgs.gov","orcid":"https://orcid.org/0000-0002-9471-7787","contributorId":2590,"corporation":false,"usgs":true,"family":"Parcheso","given":"Francis","email":"parchaso@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":481560,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":481559,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hornberger, Michelle I. 0000-0002-7787-3446 mhornber@usgs.gov","orcid":"https://orcid.org/0000-0002-7787-3446","contributorId":1037,"corporation":false,"usgs":true,"family":"Hornberger","given":"Michelle","email":"mhornber@usgs.gov","middleInitial":"I.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":481557,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70047261,"text":"ofr20131150 - 2013 - Abundance, distribution, and population trends of the iconic Hawaiian Honeycreeper, the ʻIʻiwi (Vestiaria coccinea) throughout the Hawaiian Islands","interactions":[],"lastModifiedDate":"2013-07-27T11:27:51","indexId":"ofr20131150","displayToPublicDate":"2013-07-27T11:22:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1150","title":"Abundance, distribution, and population trends of the iconic Hawaiian Honeycreeper, the ʻIʻiwi (Vestiaria coccinea) throughout the Hawaiian Islands","docAbstract":"Naturalists in the 1800s described the ʻIʻiwi (Vestiaria coccinea) as one of the most abundant forest birds, detected in forested areas from sea level to tree line across all the major Hawaiian Islands. However, in the late 1800s, ʻIʻiwi began to disappear from low elevation forests, and by the mid-1900s, the species was largely absent from low- and mid-elevation areas. Today, ʻIʻiwi are restricted to high-elevation forests on the islands of Hawaiʻi, east Maui, and Kauaʻi, with a few birds apparently persisting on Oʻahu, Molokaʻi, and west Maui. ʻIʻiwi are highly vulnerable to introduced disease, and the prevalence of avian malaria in low and mid-elevations is believed to be the cause of ʻIʻiwi being restricted to high elevations where temperatures are too cold for the development of the disease and its mosquito vector. With global warming, it is feared that the disease will move quickly into the high-elevation forests where the last ʻIʻiwi reside, threatening their viability. The U.S. Fish and Wildlife Service was petitioned to list the ʻIʻiwi as an Endangered Species in 2010, and this report provides a comprehensive review of the abundance, distribution, and trends using historical survey data as well as the most recently available survey information (up to 2012). We estimate the total population size of ‘I‘iwi at 550,972–659,864 (mean = 605,418) individuals. Of these, 90 percent are on the island of Hawaiʻi, followed by east Maui (about 10 percent), with less than 1 percent on Kauaʻi. ʻIʻiwi population trends vary across the islands. ʻIʻiwi population in Kauaʻi has experienced sharp declines, with a projected trend of 92 percent decline over a 25 year period based on the 2000–2012 surveys. On East Maui, the northeastern region has experienced declines (34 percent over a 25 year period), while the southeastern region has been stable to moderately increasing. On the island of Hawaiʻi, population trends are mixed. On the windward side, populations are largely declining, although the northern section (Hakalau Forest) has stable populations. On the leeward side, results suggest a strongly increasing population, with estimates of as much as a 147 percent increase over a 25 year period from the Puʻu Waʻawaʻa region. However, it is unclear how much these results from the leeward side of Hawaiʻi show a population trend contrary to population trends in all other areas or are an artifact of a sparsely sampled area. Trends by elevation suggest a large decrease in numbers of ʻIʻiwi at elevations below 1,200 meters on Kauaʻi and northeast Maui. Low elevation ʻIʻiwi populations also appear to have decreased in other regions, although low-elevation areas are not surveyed as often as other areas because of their lack of native forest birds. An exception to this pattern was the lower portions of the Hakalau Forest National Wildlife Refuge Kona Unit in the central leeward part of the island of Hawaiʻi, where populations appeared stable at the lower elevations. Based on the most recent surveys (up to 2012), approximately 50 percent of ʻIʻiwi live in a narrow, 500-meter band at elevations of 1,200–1,700 meters, suggesting that ʻIʻiwi are vulnerable to future shifts in climate.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131150","collaboration":"Prepared in cooperation with Hawai‘i Cooperative Studies Unit, University of Hawaiʻi Hilo","usgsCitation":"Paxton, E.H., Gorresen, P.M., and Camp, R., 2013, Abundance, distribution, and population trends of the iconic Hawaiian Honeycreeper, the ʻIʻiwi (Vestiaria coccinea) throughout the Hawaiian Islands: U.S. Geological Survey Open-File Report 2013-1150, iv, 59 p., https://doi.org/10.3133/ofr20131150.","productDescription":"iv, 59 p.","numberOfPages":"63","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":275486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131150.jpg"},{"id":275484,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1150/"},{"id":275485,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1150/pdf/ofr20131150.pdf"}],"country":"United States","state":"Hawai'i","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -178.31,18.91 ], [ -178.31,28.4 ], [ -154.81,28.4 ], [ -154.81,18.91 ], [ -178.31,18.91 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f4ddd1e4b0838938b2802b","contributors":{"authors":[{"text":"Paxton, Eben H. 0000-0001-5578-7689","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":19640,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben","email":"","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":481552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gorresen, P. Marcos mgorresen@usgs.gov","contributorId":37020,"corporation":false,"usgs":true,"family":"Gorresen","given":"P.","email":"mgorresen@usgs.gov","middleInitial":"Marcos","affiliations":[],"preferred":false,"id":481554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Camp, Richard J.","contributorId":27392,"corporation":false,"usgs":true,"family":"Camp","given":"Richard J.","affiliations":[],"preferred":false,"id":481553,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047260,"text":"ofr20131129 - 2013 - Analytical approaches used in stream benthic macroinvertebrate biomonitoring programs of State agencies in the United States","interactions":[],"lastModifiedDate":"2013-07-27T11:15:32","indexId":"ofr20131129","displayToPublicDate":"2013-07-27T11:08:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1129","title":"Analytical approaches used in stream benthic macroinvertebrate biomonitoring programs of State agencies in the United States","docAbstract":"Biomonitoring programs based on benthic macroinvertebrates are well-established worldwide. Their value, however, depends on the appropriateness of the analytical techniques used. All United States State, benthic macroinvertebrate biomonitoring programs were surveyed regarding the purposes of their programs, quality-assurance and quality-control procedures used, habitat and water-chemistry data collected, treatment of macroinvertebrate data prior to analysis, statistical methods used, and data-storage considerations. State regulatory mandates (59 percent of programs), biotic index development (17 percent), and Federal requirements (15 percent) were the most frequently reported purposes of State programs, with the specific tasks of satisfying the requirements for 305b/303d reports (89 percent), establishment and monitoring of total maximum daily loads, and developing biocriteria being the purposes most often mentioned. Most states establish reference sites (81 percent), but classify them using State-specific methods. The most often used technique for determining the appropriateness of a reference site was Best Professional Judgment (86 percent of these states). Macroinvertebrate samples are almost always collected by using a D-frame net, and duplicate samples are collected from approximately 10 percent of sites for quality assurance and quality control purposes. Most programs have macroinvertebrate samples processed by contractors (53 percent) and have identifications confirmed by a second taxonomist (85 percent). All States collect habitat data, with most using the Rapid Bioassessment Protocol visual-assessment approach, which requires ~1 h/site. Dissolved oxygen, pH, and conductivity are measured in more than 90 percent of programs. Wide variation exists in which taxa are excluded from analyses and the level of taxonomic resolution used. Species traits, such as functional feeding groups, are commonly used (96 percent), as are tolerance values for organic pollution (87 percent). Less often used are tolerance values for metals (28 percent). Benthic data are infrequently modified (34 percent) prior to analysis. Fixed-count subsampling is used widely (83 percent), with the number of organisms sorted ranging from 100 to 600 specimens. Most programs include a step during sample processing to acquire rare taxa (79 percent). Programs calculate from 2 to more than100 different metrics (mean 20), and most formulate a multimetric index (87 percent). Eleven of the 112 metrics reported represent 50 percent of all metrics considered to be useful, and most of these are based on richness or percent composition. Biotic indices and tolerance metrics are most oftenused in the eastern U.S., and functional and habitat-type metrics are most often used in the western U.S. Sixty-nine percent of programs analyze their data in-house, typically performing correlations and regressions, and few use any form of data transformation (34 percent). Fifty-one percent of the programs use multivariate analyses, typically non-metric multi-dimensional scaling. All programs have electronic data storage. Most programs use the Integrated Taxonomic Information System (75 percent) for nomenclature and to update historical data (78 percent). State procedures represent a diversity of biomonitoring approaches which likely compromises comparability among programs. A national-state consensus is needed for: (1) developing methods for the identification of reference conditions and reference sites, (2) standardization in determining and reporting species richness, (3) testing and documenting both the theoretical and mechanistic basis of often-used metrics, (4) development of properly replicated point-source study designs, and (5) curation of benthic macroinvertebrate data, including reference and voucher collections, for successful evaluation of future environmental changes.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131129","usgsCitation":"Carter, J.L., and Resh, V.H., 2013, Analytical approaches used in stream benthic macroinvertebrate biomonitoring programs of State agencies in the United States: U.S. Geological Survey Open-File Report 2013-1129, vi, 50 p., https://doi.org/10.3133/ofr20131129.","productDescription":"vi, 50 p.","numberOfPages":"56","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true}],"links":[{"id":275483,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131129.png"},{"id":275481,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1129/"},{"id":275482,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1129/pdf/ofr20131129.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f4ddd9e4b0838938b2802f","contributors":{"authors":[{"text":"Carter, James L. 0000-0002-0104-9776 jlcarter@usgs.gov","orcid":"https://orcid.org/0000-0002-0104-9776","contributorId":3278,"corporation":false,"usgs":true,"family":"Carter","given":"James","email":"jlcarter@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":481550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Resh, Vincent H.","contributorId":12169,"corporation":false,"usgs":true,"family":"Resh","given":"Vincent","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":481551,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046824,"text":"70046824 - 2013 - TerraSAR-X interferometry reveals small-scale deformation associated with the summit eruption of Kilauea Volcano, Hawai‘i","interactions":[],"lastModifiedDate":"2018-10-30T08:58:34","indexId":"70046824","displayToPublicDate":"2013-07-26T15:17:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"TerraSAR-X interferometry reveals small-scale deformation associated with the summit eruption of Kilauea Volcano, Hawai‘i","docAbstract":"On 19 March 2008, a small explosive eruption at the summit of Kīlauea Volcano, Hawai‘i, heralded the formation of a new vent along the east wall of Halema‘uma‘u Crater. In the ensuing years, the vent widened due to collapses of the unstable rim and conduit wall; some collapses impacted an actively circulating lava pond and resulted in small explosive events. We used synthetic aperture radar data collected by the TerraSAR-X satellite, a joint venture between the German Aerospace Center (DLR) and EADS Astrium, to identify and analyze small-scale surface deformation around the new vent during 2008-2012. Lidar data were used to construct a digital elevation model to correct for topographic phase, allowing us to generate differential interferograms with a spatial resolution of about 3 m in Kīlauea's summit area. These interferograms reveal subsidence within about 100 m of the rim of the vent. Small baseline subset time series analysis suggests that the subsidence rate is not constant and, over time, may provide an indication of vent stability and potential for rim and wall collapse -- information with obvious hazard implications. The deformation is not currently detectable by other space- or ground-based techniques.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/grl.50286","usgsCitation":"Richter, N., Poland, M., and Lundgren, P.R., 2013, TerraSAR-X interferometry reveals small-scale deformation associated with the summit eruption of Kilauea Volcano, Hawai‘i: Geophysical Research Letters, v. 40, no. 7, p. 1279-1283, https://doi.org/10.1002/grl.50286.","productDescription":"5 p.","startPage":"1279","endPage":"1283","numberOfPages":"5","ipdsId":"IP-042377","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":275474,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275473,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/grl.50286"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.5,19.166667 ], [ -155.5,19.5 ], [ -154.833333,19.5 ], [ -154.833333,19.166667 ], [ -155.5,19.166667 ] ] ] } } ] }","volume":"40","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-04-12","publicationStatus":"PW","scienceBaseUri":"51f38c5fe4b0a32220222f47","contributors":{"authors":[{"text":"Richter, Nichole","contributorId":40495,"corporation":false,"usgs":true,"family":"Richter","given":"Nichole","email":"","affiliations":[],"preferred":false,"id":480370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":635,"corporation":false,"usgs":true,"family":"Poland","given":"Michael P.","email":"mpoland@usgs.gov","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":480369,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lundgren, Paul R.","contributorId":68199,"corporation":false,"usgs":true,"family":"Lundgren","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":480371,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046957,"text":"70046957 - 2013 - Strategies for fitting nonlinear ecological models in R, AD Model Builder, and BUGS","interactions":[],"lastModifiedDate":"2013-07-26T14:32:35","indexId":"70046957","displayToPublicDate":"2013-07-26T14:24:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Strategies for fitting nonlinear ecological models in R, AD Model Builder, and BUGS","docAbstract":"1.  Ecologists often use nonlinear fitting techniques to estimate the parameters of complex ecological models, with attendant frustration. This paper compares three open-source model fitting tools and discusses general strategies for defining and fitting models.  \n<br>\n2. R is convenient and (relatively) easy to learn, AD Model Builder is fast and robust but comes with a steep learning curve, while BUGS provides the greatest flexibility at the price of speed.  \n<br>\n3.  Our model-fitting suggestions range from general cultural advice (where possible, use the tools and models that are most common in your subfield) to specific suggestions about how to change the mathematical description of models to make them more amenable to parameter estimation.  \n<br>\n4.  A companion web site (https://groups.nceas.ucsb.edu/nonlinear-modeling/projects) presents detailed examples of application of the three tools to a variety of typical ecological estimation problems; each example links both to a detailed project report and to full source code and data.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Methods in Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/2041-210X.12044","usgsCitation":"Bolker, B.M., Gardner, B., Maunder, M., Berg, C.W., Brooks, M., Comita, L., Crone, E., Cubaynes, S., Davies, T., de Valpine, P., Ford, J., Gimenez, O., Kéry, M., Kim, E.J., Lennert-Cody, C., Magunsson, A., Martell, S., Nash, J., Nielson, A., Regentz, J., Skaug, H., and Zipkin, E., 2013, Strategies for fitting nonlinear ecological models in R, AD Model Builder, and BUGS: Methods in Ecology and Evolution, v. 4, no. 6, p. 501-512, https://doi.org/10.1111/2041-210X.12044.","productDescription":"12 p.","startPage":"501","endPage":"512","numberOfPages":"12","ipdsId":"IP-043950","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473645,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.12044","text":"Publisher Index Page"},{"id":275467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274828,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1111/2041-210X.12044/abstract"},{"id":275466,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/2041-210X.12044"}],"volume":"4","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-04-22","publicationStatus":"PW","scienceBaseUri":"51f38c5de4b0a32220222f37","contributors":{"authors":[{"text":"Bolker, Benjamin M.","contributorId":34021,"corporation":false,"usgs":false,"family":"Bolker","given":"Benjamin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":480681,"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":480692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maunder, Mark","contributorId":84250,"corporation":false,"usgs":true,"family":"Maunder","given":"Mark","email":"","affiliations":[],"preferred":false,"id":480691,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berg, Casper W.","contributorId":30893,"corporation":false,"usgs":true,"family":"Berg","given":"Casper","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":480678,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brooks, Mollie","contributorId":20633,"corporation":false,"usgs":true,"family":"Brooks","given":"Mollie","email":"","affiliations":[],"preferred":false,"id":480676,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Comita, Liza","contributorId":69868,"corporation":false,"usgs":true,"family":"Comita","given":"Liza","email":"","affiliations":[],"preferred":false,"id":480688,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Crone, Elizabeth","contributorId":62906,"corporation":false,"usgs":true,"family":"Crone","given":"Elizabeth","affiliations":[],"preferred":false,"id":480687,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cubaynes, Sarah","contributorId":31660,"corporation":false,"usgs":true,"family":"Cubaynes","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":480679,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Davies, Trevor","contributorId":61323,"corporation":false,"usgs":true,"family":"Davies","given":"Trevor","email":"","affiliations":[],"preferred":false,"id":480686,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"de Valpine, Perry","contributorId":58147,"corporation":false,"usgs":true,"family":"de Valpine","given":"Perry","affiliations":[],"preferred":false,"id":480685,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ford, Jessica","contributorId":105197,"corporation":false,"usgs":true,"family":"Ford","given":"Jessica","email":"","affiliations":[],"preferred":false,"id":480693,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gimenez, Olivier","contributorId":54093,"corporation":false,"usgs":true,"family":"Gimenez","given":"Olivier","email":"","affiliations":[],"preferred":false,"id":480683,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kéry, Marc","contributorId":80990,"corporation":false,"usgs":true,"family":"Kéry","given":"Marc","affiliations":[],"preferred":false,"id":480689,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Kim, Eun Jung","contributorId":108381,"corporation":false,"usgs":true,"family":"Kim","given":"Eun","email":"","middleInitial":"Jung","affiliations":[],"preferred":false,"id":480695,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lennert-Cody, Cleridy","contributorId":83423,"corporation":false,"usgs":true,"family":"Lennert-Cody","given":"Cleridy","email":"","affiliations":[],"preferred":false,"id":480690,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Magunsson, Arni","contributorId":56954,"corporation":false,"usgs":true,"family":"Magunsson","given":"Arni","email":"","affiliations":[],"preferred":false,"id":480684,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Martell, Steve","contributorId":33606,"corporation":false,"usgs":true,"family":"Martell","given":"Steve","email":"","affiliations":[],"preferred":false,"id":480680,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Nash, John","contributorId":17122,"corporation":false,"usgs":true,"family":"Nash","given":"John","email":"","affiliations":[],"preferred":false,"id":480675,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Nielson, Anders","contributorId":34410,"corporation":false,"usgs":true,"family":"Nielson","given":"Anders","email":"","affiliations":[],"preferred":false,"id":480682,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Regentz, Jim","contributorId":107591,"corporation":false,"usgs":true,"family":"Regentz","given":"Jim","email":"","affiliations":[],"preferred":false,"id":480694,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Skaug, Hans","contributorId":22228,"corporation":false,"usgs":true,"family":"Skaug","given":"Hans","email":"","affiliations":[],"preferred":false,"id":480677,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Zipkin, Elise ezipkin@usgs.gov","contributorId":470,"corporation":false,"usgs":true,"family":"Zipkin","given":"Elise","email":"ezipkin@usgs.gov","affiliations":[],"preferred":true,"id":480674,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}}
,{"id":70047247,"text":"70047247 - 2013 - Accumulation of pesticides in pacific chorus frogs (Pseudacris regilla) from California's Sierra Nevada Mountains, USA","interactions":[],"lastModifiedDate":"2013-07-26T11:54:47","indexId":"70047247","displayToPublicDate":"2013-07-26T11:49:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Accumulation of pesticides in pacific chorus frogs (Pseudacris regilla) from California's Sierra Nevada Mountains, USA","docAbstract":"Pesticides are receiving increasing attention as potential causes of amphibian declines, acting singly or in combination with other stressors, but limited information is available on the accumulation of current-use pesticides in tissue. The authors examined potential exposure and accumulation of currently used pesticides in pond-breeding frogs (Pseudacris regilla) collected from 7 high elevations sites in northern California. All sites sampled are located downwind of California's highly agricultural Central Valley and receive inputs of pesticides through precipitation and/or dry deposition. Whole frog tissue, water, and sediment were analyzed for more than 90 current-use pesticides and pesticide degradates using gas chromatography–mass spectrometry. Two fungicides, pyraclostrobin and tebuconazole, and one herbicide, simazine, were the most frequently detected pesticides in tissue samples. Median pesticide concentration ranged from 13 µg/kg to 235 µg/kg wet weight. Tebuconazole and pyraclostrobin were the only 2 compounds observed frequently in frog tissue and sediment. Significant spatial differences in tissue concentration were observed, which corresponded to pesticide use in the upwind counties. Data generated indicated that amphibians residing in remote locations are exposed to and capable of accumulating current-use pesticides. A comparison of P. regilla tissue concentrations with water and sediment data indicated that the frogs are accumulating pesticides and are potentially a more reliable indicator of exposure to this group of pesticides than either water or sediment.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Toxicology and Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SETAC","doi":"10.1002/etc.2308","usgsCitation":"Smalling, K., Fellers, G.M., Kleeman, P.M., and Kuivila, K., 2013, Accumulation of pesticides in pacific chorus frogs (Pseudacris regilla) from California's Sierra Nevada Mountains, USA: Environmental Toxicology and Chemistry, v. 32, no. 9, p. 2026-2034, https://doi.org/10.1002/etc.2308.","productDescription":"9 p.","startPage":"2026","endPage":"2034","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":275442,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275441,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.2308"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.53,32.53 ], [ -124.53,42.0 ], [ -114.13,42.0 ], [ -114.13,32.53 ], [ -124.53,32.53 ] ] ] } } ] }","volume":"32","issue":"9","noUsgsAuthors":false,"publicationDate":"2013-09-01","publicationStatus":"PW","scienceBaseUri":"51f38c52e4b0a32220222f0b","contributors":{"authors":[{"text":"Smalling, Kelly L.","contributorId":16105,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[],"preferred":false,"id":481495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fellers, Gary M. 0000-0003-4092-0285 gary_fellers@usgs.gov","orcid":"https://orcid.org/0000-0003-4092-0285","contributorId":3150,"corporation":false,"usgs":true,"family":"Fellers","given":"Gary","email":"gary_fellers@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":481493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":481494,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kuivila, Kathryn  0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":1367,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn ","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":481492,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047238,"text":"70047238 - 2013 - Derivation of soil screening thresholds to protect chisel-toothed kangaroo rat from uranium mine waste in northern Arizona","interactions":[],"lastModifiedDate":"2016-11-08T13:39:37","indexId":"70047238","displayToPublicDate":"2013-07-26T10:46:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Derivation of soil screening thresholds to protect chisel-toothed kangaroo rat from uranium mine waste in northern Arizona","docAbstract":"Chemical data from soil and weathered waste material samples collected from five uranium mines north of the Grand Canyon (three reclaimed, one mined but not reclaimed, and one never mined) were used in a screening-level risk analysis for the Arizona chisel-toothed kangaroo rat (<i>Dipodomys microps leucotis</i>); risks from radiation exposure were not evaluated. Dietary toxicity reference values were used to estimate soil-screening thresholds presenting risk to kangaroo rats. Sensitivity analyses indicated that body weight critically affected outcomes of exposed-dose calculations; juvenile kangaroo rats were more sensitive to the inorganic constituent toxicities than adult kangaroo rats. Species-specific soil-screening thresholds were derived for arsenic (137 mg/kg), cadmium (16 mg/kg), copper (1,461 mg/kg), lead (1,143 mg/kg), nickel (771 mg/kg), thallium (1.3 mg/kg), uranium (1,513 mg/kg), and zinc (731 mg/kg) using toxicity reference values that incorporate expected chronic field exposures. Inorganic contaminants in soils within and near the mine areas generally posed minimal risk to kangaroo rats. Most exceedances of soil thresholds were for arsenic and thallium and were associated with weathered mine wastes.","language":"English","publisher":"Springer","doi":"10.1007/s00244-013-9893-5","usgsCitation":"Hinck, J.E., Linder, G.L., Otton, J.K., Finger, S.E., Little, E.E., and Tillitt, D.E., 2013, Derivation of soil screening thresholds to protect chisel-toothed kangaroo rat from uranium mine waste in northern Arizona: Archives of Environmental Contamination and Toxicology, v. 65, no. 2, p. 332-344, https://doi.org/10.1007/s00244-013-9893-5.","productDescription":"13 p.","startPage":"332","endPage":"344","numberOfPages":"13","ipdsId":"IP-041377","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":275433,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00244-013-9893-5"},{"id":275434,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Kanab South Pipe;Kanab North Mine;Pigeon Mine;Hermit Mine;Hack Canyon Mine Complex","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.815578,36.175073 ], [ -112.815578,36.614925 ], [ -112.463559,36.614925 ], [ -112.463559,36.175073 ], [ -112.815578,36.175073 ] ] ] } } ] }","volume":"65","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-04-19","publicationStatus":"PW","scienceBaseUri":"51f38c5ae4b0a32220222f13","contributors":{"authors":[{"text":"Hinck, Jo Ellen 0000-0002-4912-5766 jhinck@usgs.gov","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":2743,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"jhinck@usgs.gov","middleInitial":"Ellen","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":481483,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Linder, Greg L. linder2@usgs.gov","contributorId":1766,"corporation":false,"usgs":true,"family":"Linder","given":"Greg","email":"linder2@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":481481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Otton, James K. jkotton@usgs.gov","contributorId":1170,"corporation":false,"usgs":true,"family":"Otton","given":"James","email":"jkotton@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":481478,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finger, Susan E. sfinger@usgs.gov","contributorId":1317,"corporation":false,"usgs":true,"family":"Finger","given":"Susan","email":"sfinger@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":481479,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Little, Edward E. 0000-0003-0034-3639 elittle@usgs.gov","orcid":"https://orcid.org/0000-0003-0034-3639","contributorId":1746,"corporation":false,"usgs":true,"family":"Little","given":"Edward","email":"elittle@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":481480,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":481482,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70047226,"text":"70047226 - 2013 - Evaluation of the rhenium-osmium geochronometer in the Phosphoria petroleum system, Bighorn Basin of Wyoming and Montana, USA","interactions":[],"lastModifiedDate":"2019-09-19T08:26:42","indexId":"70047226","displayToPublicDate":"2013-07-26T08:20:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of the rhenium-osmium geochronometer in the Phosphoria petroleum system, Bighorn Basin of Wyoming and Montana, USA","docAbstract":"Rhenium-osmium (Re-Os) geochronometry is applied to crude oils derived from the Permian Phosphoria Formation of the Bighorn Basin in Wyoming and Montana to determine whether the radiogenic age reflects the timing of petroleum generation, timing of migration, age of the source rock, or the timing of thermochemical sulfate reduction (TSR). The oils selected for this study are interpreted to be derived from the Meade Peak Phosphatic Shale and Retort Phosphatic Shale Members of the Phosphoria Formation based on oil-oil and oil-source rock correlations utilizing bulk properties, elemental composition, &delta;<sup>13</sup>C and &delta;<sup>34</sup>S values, and biomarker distributions. The &delta;<sup>34</sup>S values of the oils range from -6.2‰ to +5.7‰, with oils heavier than -2‰ interpreted to be indicative of TSR. The Re and Os isotope data of the Phosphoria oils plot in two general trends: (1) the main trend (n = 15 oils) yielding a Triassic age (239 &plusmn; 43 Ma) with an initial <sup>187</sup>Os/<sup>188</sup>Os value of 0.85 &plusmn; 0.42 and a mean square weighted deviation (MSWD) of 1596, and (2) the Torchlight trend (n = 4 oils) yielding a Miocene age (9.24 &plusmn; 0.39 Ma) with an initial 187Os/188Os value of 1.88 &plusmn; 0.01 and a MSWD of 0.05. The scatter (high MSWD) in the main-trend regression is due, in part, to TSR in reservoirs along the eastern margin of the basin. Excluding oils that have experienced TSR, the regression is significantly improved, yielding an age of 211 &plusmn; 21 Ma with a MSWD of 148. This revised age is consistent with some studies that have proposed Late Triassic as the beginning of Phosphoria oil generation and migration, and does not seem to reflect the source rock age (Permian) or the timing of re-migration (Late Cretaceous to Eocene) associated with the Laramide orogeny. The low precision of the revised regression (&plusmn;21 Ma) is not unexpected for this oil family given the long duration of generation from a large geographic area of mature Phosphoria source rock, and the possible range in the initial <sup>187</sup>Os/<sup>188</sup>Os values of the Meade Peak and Retort source units. Effects of re-migration may have contributed to the scatter, but thermal cracking and biodegradation likely have had minimal or no effect on the main-trend regression. The four Phosphoria-sourced oils from Torchlight and Lamb fields yield a precise Miocene age Re-Os isochron that may reflect the end of TSR in the reservoir due to cooling below a threshold temperature in the last 10 m.y. from uplift and erosion of overlying rocks.\n\nThe mechanism for the formation of a Re-Os isotopic relationship in a family of crude oils may involve multiple steps in the petroleum generation process. Bitumen generation from the source rock kerogen may provide a reset of the isotopic chronometer, and incremental expulsion of oil over the duration of the oil window may provide some of the variation seen in <sup>187</sup>Re/<sup>188</sup>Os values from an oil family.","language":"English","publisher":"Geochimica Cosmochimica Acta","doi":"10.1016/j.gca.2013.04.021","usgsCitation":"Lillis, P.G., and Selby, D., 2013, Evaluation of the rhenium-osmium geochronometer in the Phosphoria petroleum system, Bighorn Basin of Wyoming and Montana, USA: Geochimica et Cosmochimica Acta, v. 118, p. 312-330, https://doi.org/10.1016/j.gca.2013.04.021.","productDescription":"19 p.","startPage":"312","endPage":"330","numberOfPages":"19","ipdsId":"IP-040413","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"links":[{"id":473648,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2013.04.021","text":"Publisher Index Page"},{"id":275422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275412,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gca.2013.04.021"}],"country":"United States","state":"Montana, Wyoming","otherGeospatial":"Bighorn Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.9988,43.8562 ], [ -109.9988,44.9262 ], [ -106.7276,44.9262 ], [ -106.7276,43.8562 ], [ -109.9988,43.8562 ] ] ] } } ] }","volume":"118","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f38c5be4b0a32220222f17","chorus":{"doi":"10.1016/j.gca.2013.04.021","url":"http://dx.doi.org/10.1016/j.gca.2013.04.021","publisher":"Elsevier BV","authors":"Lillis Paul G., Selby David","journalName":"Geochimica et Cosmochimica Acta","publicationDate":"10/2013","auditedOn":"11/1/2014","publiclyAccessibleDate":"7/22/2013"},"contributors":{"authors":[{"text":"Lillis, Paul G. 0000-0002-7508-1699 plillis@usgs.gov","orcid":"https://orcid.org/0000-0002-7508-1699","contributorId":1817,"corporation":false,"usgs":true,"family":"Lillis","given":"Paul","email":"plillis@usgs.gov","middleInitial":"G.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":481458,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Selby, David","contributorId":58167,"corporation":false,"usgs":true,"family":"Selby","given":"David","affiliations":[],"preferred":false,"id":481459,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047216,"text":"70047216 - 2013 - A comparison of models for estimating potential evapotranspiration for Florida land cover types","interactions":[],"lastModifiedDate":"2013-07-26T08:09:28","indexId":"70047216","displayToPublicDate":"2013-07-25T16:01:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of models for estimating potential evapotranspiration for Florida land cover types","docAbstract":"We analyzed observed daily evapotranspiration (DET) at 18 sites having measured DET and ancillary climate data and then used these data to compare the performance of three common methods for estimating potential evapotranspiration (PET): the Turc method (Tc), the Priestley-Taylor method (PT) and the Penman-Monteith method (PM). The sites were distributed throughout the State of Florida and represent a variety of land cover types: open water (3), marshland (4), grassland/pasture (4), citrus (2) and forest (5). Not surprisingly, the highest DET values occurred at the open water sites, ranging from an average of 3.3 mm d<sup>-1</sup> in the winter to 5.3 mm d<sup>-1</sup> in the spring. DET at the marsh sites was also high, ranging from 2.7 mm d<sup>-1</sup> in winter to 4.4 mm d<sup>-1</sup> in summer. The lowest DET occurred in the winter and fall seasons at the grass sites (1.3 mm d<sup>-1</sup> and 2.0 mm d<sup>-1</sup>, respectively) and at the forested sites (1.8 mm d<sup>-1 and 2.3 mm d<sup>-1</sup>, respectively). The performance of the three methods when applied to conditions close to PET (Bowen ratio &le; 1) was used to judge relative merit. Under such PET conditions, annually aggregated Tc and PT methods perform comparably and outperform the PM method, possibly due to the sensitivity of the PM method to the limited transferability of previously determined model parameters. At a daily scale, the PT performance appears to be superior to the other two methods for estimating PET for a variety of land covers in Florida.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2009.04.029","usgsCitation":"Douglas, E.M., Jacobs, J.M., Sumner, D.M., and Ray, R.L., 2013, A comparison of models for estimating potential evapotranspiration for Florida land cover types: Journal of Hydrology, v. 373, no. 3-4, p. 366-376, https://doi.org/10.1016/j.jhydrol.2009.04.029.","productDescription":"11 p.","startPage":"366","endPage":"376","numberOfPages":"11","ipdsId":"IP-004364","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":275415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275413,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2009.04.029"}],"country":"United States","state":"Florida","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.6349,24.5211 ], [ -87.6349,31.001 ], [ -80.0311,31.001 ], [ -80.0311,24.5211 ], [ -87.6349,24.5211 ] ] ] } } ] }","volume":"373","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f253e2e4b0279fe2e1bfbd","contributors":{"authors":[{"text":"Douglas, Ellen M.","contributorId":57344,"corporation":false,"usgs":true,"family":"Douglas","given":"Ellen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":481421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobs, Jennifer M.","contributorId":86245,"corporation":false,"usgs":true,"family":"Jacobs","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":481422,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sumner, David M. 0000-0002-2144-9304 dmsumner@usgs.gov","orcid":"https://orcid.org/0000-0002-2144-9304","contributorId":1362,"corporation":false,"usgs":true,"family":"Sumner","given":"David","email":"dmsumner@usgs.gov","middleInitial":"M.","affiliations":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true},{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":true,"id":481419,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ray, Ram L.","contributorId":21850,"corporation":false,"usgs":true,"family":"Ray","given":"Ram","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":481420,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70124440,"text":"70124440 - 2013 - Climatic correlates of tree mortality in water- and energy-limited forests","interactions":[],"lastModifiedDate":"2018-09-13T16:01:44","indexId":"70124440","displayToPublicDate":"2013-07-25T15:17:45","publicationYear":"2013","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":"Climatic correlates of tree mortality in water- and energy-limited forests","docAbstract":"Recent increases in tree mortality rates across the western USA are correlated with increasing temperatures, but mechanisms remain unresolved. Specifically, increasing mortality could predominantly be a consequence of temperature-induced increases in either (1) drought stress, or (2) the effectiveness of tree-killing insects and pathogens. Using long-term data from California’s Sierra Nevada mountain range, we found that in water-limited (low-elevation) forests mortality was unambiguously best modeled by climatic water deficit, consistent with the first mechanism. In energy-limited (high-elevation) forests deficit models were only equivocally better than temperature models, suggesting that the second mechanism is increasingly important in these forests. We could not distinguish between models predicting mortality using absolute versus relative changes in water deficit, and these two model types led to different forecasts of mortality vulnerability under future climate scenarios. Our results provide evidence for differing climatic controls of tree mortality in water- and energy-limited forests, while highlighting the need for an improved understanding of tree mortality processes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0069917","usgsCitation":"Das, A., Stephenson, N.L., Flint, A., Das, T., and van Mantgem, P.J., 2013, Climatic correlates of tree mortality in water- and energy-limited forests: PLoS ONE, v. 8, no. 7, 11 p., https://doi.org/10.1371/journal.pone.0069917.","productDescription":"11 p.","numberOfPages":"11","ipdsId":"IP-030863","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":473650,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0069917","text":"Publisher Index Page"},{"id":293776,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293773,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0069917"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.8865,36.2914 ], [ -119.8865,38.1852 ], [ -118.2348,38.1852 ], [ -118.2348,36.2914 ], [ -119.8865,36.2914 ] ] ] } } ] }","volume":"8","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-07-25","publicationStatus":"PW","scienceBaseUri":"5412b99fe4b0239f1986ba1c","contributors":{"authors":[{"text":"Das, Adrian J. 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":3842,"corporation":false,"usgs":true,"family":"Das","given":"Adrian J.","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Alan","contributorId":58503,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"","affiliations":[],"preferred":false,"id":500830,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Das, Tapash","contributorId":49227,"corporation":false,"usgs":true,"family":"Das","given":"Tapash","affiliations":[],"preferred":false,"id":500829,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422 pvanmantgem@usgs.gov","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":2838,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip","email":"pvanmantgem@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500827,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047212,"text":"70047212 - 2013 - Community variations in population exposure to near-field tsunami hazards as a function of pedestrian travel time to safety","interactions":[],"lastModifiedDate":"2013-07-25T13:55:58","indexId":"70047212","displayToPublicDate":"2013-07-25T13:43:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Community variations in population exposure to near-field tsunami hazards as a function of pedestrian travel time to safety","docAbstract":"Efforts to characterize population exposure to near-field tsunami threats typically focus on quantifying the number and type of people in tsunami-hazard zones. To develop and prioritize effective risk-reduction strategies, emergency managers also need information on the potential for successful evacuations and how this evacuation potential varies among communities. To improve efforts to properly characterize and differentiate near-field tsunami threats among multiple communities, we assess community variations in population exposure to tsunamis as a function of pedestrian travel time to safety. We focus our efforts on the multiple coastal communities in Grays Harbor and Pacific Counties (State of Washington, USA), where a substantial resident and visitor population is threatened by near-field tsunamis related to a potential Cascadia subduction zone earthquake.  Anisotropic, path-distance modeling is conducted to estimate travel times to safety and results are merged with various population data, including residents, employees, public venues, and dependent-care facilities. Results suggest that there is substantial variability among communities in the number of people that may have insufficient time to evacuate. Successful evacuations may be possible in some communities assuming slow-walking speeds, are plausible in others if travel speeds are increased, and are unlikely in another set of communities given the large distances and short time horizon. Emergency managers can use these results to prioritize the location and determine the most appropriate type of tsunami risk-reduction strategies, such as education and training in areas where evacuations are plausible and vertical-evacuation structures in areas where they are not.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Natural Hazards","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s11069-012-0434-8","usgsCitation":"Wood, N.J., and Schmidtlein, M.C., 2013, Community variations in population exposure to near-field tsunami hazards as a function of pedestrian travel time to safety: Natural Hazards, v. 3, no. 65, p. 1603-1628, https://doi.org/10.1007/s11069-012-0434-8.","productDescription":"26 p.","startPage":"1603","endPage":"1628","numberOfPages":"26","ipdsId":"IP-040129","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":275401,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275395,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11069-012-0434-8"}],"country":"United States","state":"Washington","county":"Grays Harbor County;Pacific County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.429424,46.227375 ], [ -124.429424,47.651399 ], [ -123.35722,47.651399 ], [ -123.35722,46.227375 ], [ -124.429424,46.227375 ] ] ] } } ] }","volume":"3","issue":"65","noUsgsAuthors":false,"publicationDate":"2012-10-12","publicationStatus":"PW","scienceBaseUri":"51f253e9e4b0279fe2e1bfc9","contributors":{"authors":[{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":481408,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidtlein, Mathew C.","contributorId":90999,"corporation":false,"usgs":true,"family":"Schmidtlein","given":"Mathew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":481409,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70118056,"text":"70118056 - 2013 - The aeromagnetic method as a tool to identify Cenozoic magmatism in the West Antarctic Rift System beneath the West Antarctic Ice Sheet: a  review; Thiel subglacial volcano as possible source of the ash layer in the WAISCOR","interactions":[],"lastModifiedDate":"2018-03-15T14:17:16","indexId":"70118056","displayToPublicDate":"2013-07-25T11:44:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3525,"text":"Tectonophysics","active":true,"publicationSubtype":{"id":10}},"title":"The aeromagnetic method as a tool to identify Cenozoic magmatism in the West Antarctic Rift System beneath the West Antarctic Ice Sheet: a  review; Thiel subglacial volcano as possible source of the ash layer in the WAISCOR","docAbstract":"<p>The West Antarctic Ice Sheet (WAIS) flows through the volcanically active West Antarctic Rift System (WARS). The aeromagnetic method has been the most useful geophysical tool for identification of subglacial volcanic rocks, since 1959–64 surveys, particularly combined with 1978 radar ice-sounding. The unique 1991–97 Central West Antarctica (CWA) aerogeophysical survey covering 354,000 km<sup>2</sup> over the WAIS, (5-km line-spaced, orthogonal lines of aeromagnetic, radar ice-sounding, and aerogravity measurements), still provides invaluable information on subglacial volcanic rocks, particularly combined with the older aeromagnetic profiles. These data indicate numerous 100–>1000 nT, 5–50-km width, shallow-source, magnetic anomalies over an area greater than 1.2 × 10<sup>6</sup> km<sup>2</sup>, mostly from subglacial volcanic sources. I interpreted the CWA anomalies as defining about 1000 “volcanic centers” requiring high remanent normal magnetizations in the present field direction. About 400 anomaly sources correlate with bed topography. At least 80% of these sources have less than 200 m relief at the WAIS bed. They appear modified by moving ice, requiring a younger age than the WAIS (about 25 Ma).</p>\n<br>\n<p>Exposed volcanoes in the WARS are < 34 Ma, but at least four are active. If a few buried volcanic centers are active, subglacial volcanism may well affect the WAIS regime. Aerogeophysical data (Blankenship et al., 1993, Mt. Casertz; Corr and Vaughan, 2008, near Hudson Mts.) indicated active subglacial volcanism. Magnetic data indicate a caldera and a surrounding “low” in the WAISCORE vicinity possibly the result of a shallow Curie isotherm. High heat flow reported from temperature logging in the WAISCORE (Conway et al., 2011; Clow, personal commun.) and a volcanic ash layer (Dunbar, 2012) are consistent with this interpretation. A subaerially erupted subglacial volcano, (Mt Thiel), about 100 km distant, may be the ash source.</p>\n<br>\n<p>The present rapid changes resulting from global warming, could be accelerated by subglacial volcanism.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Tectonophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.tecto.2012.06.035","usgsCitation":"Behrendt, J.C., 2013, The aeromagnetic method as a tool to identify Cenozoic magmatism in the West Antarctic Rift System beneath the West Antarctic Ice Sheet: a  review; Thiel subglacial volcano as possible source of the ash layer in the WAISCOR: Tectonophysics, v. 585, p. 124-136, https://doi.org/10.1016/j.tecto.2012.06.035.","productDescription":"13 p.","startPage":"124","endPage":"136","costCenters":[],"links":[{"id":290998,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.tecto.2012.06.035"},{"id":290999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antartica","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -163.7,-85.2 ], [ -163.7,-63.3 ], [ -57.1,-63.3 ], [ -57.1,-85.2 ], [ -163.7,-85.2 ] ] ] } } ] }","volume":"585","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f29ae4b0bc0bec0a049e","contributors":{"authors":[{"text":"Behrendt, John C. jbehrendt@usgs.gov","contributorId":25945,"corporation":false,"usgs":true,"family":"Behrendt","given":"John","email":"jbehrendt@usgs.gov","middleInitial":"C.","affiliations":[{"id":213,"text":"Crustal Imaging and Characterization Team","active":false,"usgs":true},{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":496199,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047195,"text":"70047195 - 2013 - Crater-based dating of geological units on Mars: methods and application for the new global geological map","interactions":[],"lastModifiedDate":"2018-12-07T14:48:10","indexId":"70047195","displayToPublicDate":"2013-07-25T09:25:42","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Crater-based dating of geological units on Mars: methods and application for the new global geological map","docAbstract":"<p><span>The new, post-Viking generation of Mars orbital imaging and topographical data provide significant higher-resolution details of surface morphologies, which induced a new effort to photo-geologically map the surface of Mars at 1:20,000,000 scale. Although from unit superposition relations a relative stratigraphical framework can be compiled, it was the ambition of this mapping project to provide absolute unit age constraints through crater statistics. In this study, the crater counting method is described in detail, starting with the selection of image data, type locations (both from the mapper’s and crater counter’s perspectives) and the identification of impact craters. We describe the criteria used to validate and analyse measured crater populations, and to derive and interpret crater model ages. We provide examples of how geological information about the unit’s resurfacing history can be retrieved from crater size–frequency distributions. Three cases illustrate short-, intermediate, and long-term resurfacing histories. In addition, we introduce an interpretation-independent visualisation of the crater resurfacing history that uses the reduction of the crater population in a given size range relative to the expected population given the observed crater density at larger sizes. From a set of potential type locations, 48 areas from 22 globally mapped units were deemed suitable for crater counting. Because resurfacing ages were derived from crater statistics, these secondary ages were used to define the unit age rather than the base age. Using the methods described herein, we modelled ages that are consistent with the interpreted stratigraphy. Our derived model ages allow age assignments to be included in unit names. We discuss the limitations of using the crater dating technique for global-scale geological mapping. Finally, we present recommendations for the documentation and presentation of crater statistics in publications.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2013.04.021","usgsCitation":"Platz, T., Michael, G., Tanaka, K.L., Skinner, J., and Fortezzo, C.M., 2013, Crater-based dating of geological units on Mars: methods and application for the new global geological map: Icarus, v. 225, no. 1, p. 806-827, https://doi.org/10.1016/j.icarus.2013.04.021.","productDescription":"22 p.","startPage":"806","endPage":"827","ipdsId":"IP-041115","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":275371,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"225","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f253e9e4b0279fe2e1bfcd","contributors":{"authors":[{"text":"Platz, Thomas","contributorId":64974,"corporation":false,"usgs":true,"family":"Platz","given":"Thomas","affiliations":[],"preferred":false,"id":481326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Michael, Gregory","contributorId":46393,"corporation":false,"usgs":true,"family":"Michael","given":"Gregory","affiliations":[],"preferred":false,"id":481325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tanaka, Kenneth L. ktanaka@usgs.gov","contributorId":610,"corporation":false,"usgs":true,"family":"Tanaka","given":"Kenneth","email":"ktanaka@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":481322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skinner, James A. 0000-0002-3644-7010 jskinner@usgs.gov","orcid":"https://orcid.org/0000-0002-3644-7010","contributorId":3187,"corporation":false,"usgs":true,"family":"Skinner","given":"James A.","email":"jskinner@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":481323,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fortezzo, Corey M. 0000-0001-8188-5530 cfortezzo@usgs.gov","orcid":"https://orcid.org/0000-0001-8188-5530","contributorId":25383,"corporation":false,"usgs":true,"family":"Fortezzo","given":"Corey","email":"cfortezzo@usgs.gov","middleInitial":"M.","affiliations":[{"id":130,"text":"Astrogeology Research Center","active":false,"usgs":true}],"preferred":false,"id":481324,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047203,"text":"tm1D5 - 2013 - Optical techniques for the determination of nitrate in environmental waters: Guidelines for instrument selection, operation, deployment, maintenance, quality assurance, and data reporting","interactions":[],"lastModifiedDate":"2013-07-25T09:15:56","indexId":"tm1D5","displayToPublicDate":"2013-07-25T09:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1-D5","title":"Optical techniques for the determination of nitrate in environmental waters: Guidelines for instrument selection, operation, deployment, maintenance, quality assurance, and data reporting","docAbstract":"The recent commercial availability of in situ optical sensors, together with new techniques for data collection and analysis, provides the opportunity to monitor a wide range of water-quality constituents on time scales in which environmental conditions actually change. Of particular interest is the application of ultraviolet (UV) photometers for in situ determination of nitrate concentrations in rivers and streams. The variety of UV nitrate sensors currently available differ in several important ways related to instrument design that affect the accuracy of their nitrate concentration measurements in different types of natural waters. This report provides information about selection and use of UV nitrate sensors by the U.S. Geological Survey to facilitate the collection of high-quality data across studies, sites, and instrument types.\n\nFor those in need of technical background and information about sensor selection, this report addresses the operating principles, key features and sensor design, sensor characterization techniques and typical interferences, and approaches for sensor deployment. For those needing information about maintaining sensor performance in the field, key sections in this report address maintenance and calibration protocols, quality-assurance techniques, and data formats and reporting. Although the focus of this report is UV nitrate sensors, many of the principles can be applied to other in situ optical sensors for water-quality studies.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section D: Water quality in Book 1 <i>Collection of Water Data by Direct Measurement</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm1D5","collaboration":"This report is Chapter 5 of Section D: Water quality in Book 1 <i>Collection of Water Data by Direct Measurement</i>","usgsCitation":"Pellerin, B., Bergamaschi, B., Downing, B.D., Saraceno, J., Garrett, J.D., and Olsen, L., 2013, Optical techniques for the determination of nitrate in environmental waters: Guidelines for instrument selection, operation, deployment, maintenance, quality assurance, and data reporting: U.S. Geological Survey Techniques and Methods 1-D5, vi, 37 p., https://doi.org/10.3133/tm1D5.","productDescription":"vi, 37 p.","numberOfPages":"48","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":275370,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm1D5.jpg"},{"id":275369,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/01/d5/"},{"id":275368,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/01/d5/pdf/tm1d5.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f253eae4b0279fe2e1bfd9","contributors":{"authors":[{"text":"Pellerin, Brian A.","contributorId":58385,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian A.","affiliations":[],"preferred":false,"id":481349,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":73241,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian A.","affiliations":[],"preferred":false,"id":481351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Downing, Bryan D. 0000-0002-2007-5304 bdowning@usgs.gov","orcid":"https://orcid.org/0000-0002-2007-5304","contributorId":1449,"corporation":false,"usgs":true,"family":"Downing","given":"Bryan","email":"bdowning@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saraceno, John Franco 0000-0003-0064-1820","orcid":"https://orcid.org/0000-0003-0064-1820","contributorId":71686,"corporation":false,"usgs":true,"family":"Saraceno","given":"John Franco","affiliations":[],"preferred":false,"id":481350,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garrett, Jessica D. 0000-0002-4466-3709 jgarrett@usgs.gov","orcid":"https://orcid.org/0000-0002-4466-3709","contributorId":4229,"corporation":false,"usgs":true,"family":"Garrett","given":"Jessica","email":"jgarrett@usgs.gov","middleInitial":"D.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":481348,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Olsen, Lisa D. ldolsen@usgs.gov","contributorId":2707,"corporation":false,"usgs":true,"family":"Olsen","given":"Lisa D.","email":"ldolsen@usgs.gov","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":481347,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70188810,"text":"70188810 - 2013 - Implications for late Grenvillian (Rigolet phase) construction of Rodinia using new U-Pb data from the Mars Hill terrane, Tennessee and North Carolina, United States","interactions":[],"lastModifiedDate":"2017-06-27T11:02:54","indexId":"70188810","displayToPublicDate":"2013-07-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Implications for late Grenvillian (Rigolet phase) construction of Rodinia using new U-Pb data from the Mars Hill terrane, Tennessee and North Carolina, United States","docAbstract":"<p><span>New data for zircon (external morphology, cathodoluminescence zoning, and sensitive high resolution ion microprobe [SHRIMP] U-Pb ages) from the Carvers Gap granulite gneiss of the Mars Hill terrane (Tennessee and North Carolina, United States) require reevaluation of interpretations of the age and origin of this rock. The new results indicate that the zircon is detrital and that the sedimentary protolith of this gneiss (and related Cloudland gneiss) was deposited no earlier than ca. 1.02 Ga and was metamorphosed at ca. 0.98 Ga. Tectonic models that included the gneiss as a piece of 1.8 Ga Amazonian crust (perhaps as part of the hypothetical Columbia supercontinent) are now untenable. The remarkably fast cycle of exhumation, erosion, deposition, and deep burial also is characteristic of other late Grenvillian (post-Ottawan) Mesoproterozoic paragneisses that occur throughout the Appalachians. These rocks provide new evidence for the duration of the formation of the Rodinia supercontinent lasting until at least 0.98 Ma.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G34779.1","usgsCitation":"Aleinikoff, J.N., Southworth, S., and Merschat, A.J., 2013, Implications for late Grenvillian (Rigolet phase) construction of Rodinia using new U-Pb data from the Mars Hill terrane, Tennessee and North Carolina, United States: Geology, v. 41, no. 10, p. 1087-1090, https://doi.org/10.1130/G34779.1.","productDescription":"4 p.","startPage":"1087","endPage":"1090","ipdsId":"IP-041874","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":342873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Tennesee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.3150634765625,\n              35.860117799832544\n            ],\n            [\n              -81.73004150390625,\n              35.860117799832544\n            ],\n            [\n              -81.73004150390625,\n              36.295204533693536\n            ],\n            [\n              -82.3150634765625,\n              36.295204533693536\n            ],\n            [\n              -82.3150634765625,\n              35.860117799832544\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"41","issue":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59521d28e4b062508e3c36c7","contributors":{"authors":[{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":700459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Southworth, Scott","contributorId":93933,"corporation":false,"usgs":true,"family":"Southworth","given":"Scott","affiliations":[],"preferred":false,"id":700643,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Merschat, Arthur J. 0000-0002-9314-4067 amerschat@usgs.gov","orcid":"https://orcid.org/0000-0002-9314-4067","contributorId":4556,"corporation":false,"usgs":true,"family":"Merschat","given":"Arthur","email":"amerschat@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":700644,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042047,"text":"70042047 - 2013 - Monitoring intensity and patterns of off-highway vehicle (OHV) use in remote areas of the western USA","interactions":[],"lastModifiedDate":"2013-07-24T09:17:51","indexId":"70042047","displayToPublicDate":"2013-07-24T16:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2933,"text":"Oecologia Australis","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring intensity and patterns of off-highway vehicle (OHV) use in remote areas of the western USA","docAbstract":"The continued growth of off-highway vehicle (OHV) activities – demonstrated by the dramatic increase in OHV sales, number of users, and areas experiencing OHV use – has elevated concerns about their ecological effects, the impacts on wildlife, and the sustainability of OHV use on secondary and tertiary road networks. Conflicts between visitors and wildlife are raising concerns about system resiliency and sustainable management. In order to quantify the spatial and temporal impacts of OHV use it is imperative to know about the timing and patterns of vehicle use. This study tested and used multiple vehicle-counter types to study vehicular OHV use patterns and volume throughout a mountainous road network in western Colorado. OHV counts were analyzed by time of day, day of week, season, and year. While daily use peaked within a two to three hour range for all sites, the overall volume of use varied among sites on an annual basis. The data also showed that there are at least two distinct patterns of OHV use: one dominated by a majority of use on weekends, and the other with continuous use throughout the week. This project provided important, but rarely captured, metrics about patterns of OHV use in a remote, mountainous region of Colorado. The techniques described here can provide land managers with a quantitative evaluation of OHV use across the landscape, an essential foundation for travel management planning. They also provide researchers with robust tools to further investigate the impacts of OHV use.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Oecologia Australis","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Oecologia Australis","doi":"10.4257/oeco.2013.1701.09","usgsCitation":"Ouren, D.S., and Coffin, A.W., 2013, Monitoring intensity and patterns of off-highway vehicle (OHV) use in remote areas of the western USA: Oecologia Australis, v. 17, no. 1, p. 96-110, https://doi.org/10.4257/oeco.2013.1701.09.","productDescription":"5 p.","startPage":"96","endPage":"110","ipdsId":"IP-039074","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":473653,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4257/oeco.2013.1701.09","text":"Publisher Index Page"},{"id":275330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275326,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4257/oeco.2013.1701.09"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","volume":"17","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f0e95be4b04309f4e38ce7","contributors":{"authors":[{"text":"Ouren, Douglas S. ourend@usgs.gov","contributorId":1931,"corporation":false,"usgs":true,"family":"Ouren","given":"Douglas","email":"ourend@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":470670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coffin, Alisa W. coffina@usgs.gov","contributorId":17305,"corporation":false,"usgs":true,"family":"Coffin","given":"Alisa","email":"coffina@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":false,"id":470671,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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