{"pageNumber":"1474","pageRowStart":"36825","pageSize":"25","recordCount":165309,"records":[{"id":70043097,"text":"ds735 - 2013 - Seafloor video footage and still-frame grabs from U.S. Geological Survey cruises in Hawaiian nearshore waters","interactions":[],"lastModifiedDate":"2013-02-12T10:22:28","indexId":"ds735","displayToPublicDate":"2013-02-05T00:00:00","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":"735","title":"Seafloor video footage and still-frame grabs from U.S. Geological Survey cruises in Hawaiian nearshore waters","docAbstract":"Underwater video footage was collected in nearshore waters (<60-meter depth) off the Hawaiian Islands from 2002 to 2011 as part of the U.S. Geological Survey (USGS) Coastal and Marine Geology Program's Pacific Coral Reef Project, to improve seafloor characterization and for the development and ground-truthing of benthic-habitat maps. This report includes nearly 53 hours of digital underwater video footage collected during four USGS cruises and more than 10,200 still images extracted from the videos, including still frames from every 10 seconds along transect lines, and still frames showing both an overview and a near-bottom view from fixed stations. Environmental Systems Research Institute (ESRI) shapefiles of individual video and still-image locations, and Google Earth kml files with explanatory text and links to the video and still images, are included. This report documents the various camera systems and methods used to collect the videos, and the techniques and software used to convert the analog video tapes into digital data in order to process the images for optimum viewing and to extract the still images, along with a brief summary of each survey cruise.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds735","usgsCitation":"Gibbs, A.E., Cochran, S., and Tierney, P.W., 2013, Seafloor video footage and still-frame grabs from U.S. Geological Survey cruises in Hawaiian nearshore waters: U.S. Geological Survey Data Series 735, Report: iv, 11 p.; Videos; Stills; Shapefiles; Google Earth kml files, https://doi.org/10.3133/ds735.","productDescription":"Report: iv, 11 p.; Videos; Stills; Shapefiles; Google Earth kml files","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":266972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_735.gif"},{"id":267266,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/ds/735/VideoStills"},{"id":267267,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/735/shapefiles"},{"id":267268,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/735/kml"},{"id":267265,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/735/Video"},{"id":266971,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/735/ds735_text.pdf"},{"id":266970,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/735/"}],"country":"United States","state":"Hawai'i","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -157.8186,20.4836 ], [ -157.8186,21.4224 ], [ -156.3629,21.4224 ], [ -156.3629,20.4836 ], [ -157.8186,20.4836 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51122a00e4b0ebe69d7eb608","contributors":{"authors":[{"text":"Gibbs, Ann E. 0000-0002-0883-3774 agibbs@usgs.gov","orcid":"https://orcid.org/0000-0002-0883-3774","contributorId":2644,"corporation":false,"usgs":true,"family":"Gibbs","given":"Ann","email":"agibbs@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":472945,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochran, Susan A.","contributorId":27533,"corporation":false,"usgs":true,"family":"Cochran","given":"Susan A.","affiliations":[],"preferred":false,"id":472946,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tierney, Peter W.","contributorId":68187,"corporation":false,"usgs":true,"family":"Tierney","given":"Peter","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":472947,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043094,"text":"ofr20131002 - 2013 - New vitrinite reflectance data for the Wind River Basin, Wyoming","interactions":[],"lastModifiedDate":"2013-02-12T10:27:15","indexId":"ofr20131002","displayToPublicDate":"2013-02-05T00:00:00","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":"2013-1002","title":"New vitrinite reflectance data for the Wind River Basin, Wyoming","docAbstract":"The Wind River Basin is a large Laramide (Late Cretaceous through Eocene) structural and sedimentary basin that encompasses about 7,400 square miles in central Wyoming. The basin is bounded by the Washakie Range and Owl Creek and southern Bighorn Mountains on the north, the Casper arch on the east and northeast, and the Granite Mountains on the south, and Wind River Range on the west. The purpose of this report is to present new vitrinite reflectance data collected mainly from Cretaceous marine shales in the Wind River Basin to better characterize their thermal maturity and hydrocarbon potential.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131002","usgsCitation":"Pawlewicz, M.J., and Finn, T.M., 2013, New vitrinite reflectance data for the Wind River Basin, Wyoming: U.S. Geological Survey Open-File Report 2013-1002, iii, 11 p., https://doi.org/10.3133/ofr20131002.","productDescription":"iii, 11 p.","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-040666","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":266975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2013_1002.gif"},{"id":266973,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1002/"},{"id":266974,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1002/OF13-1002.pdf"}],"country":"United States","state":"Arizona;Colorado;Idaho;Montana;Nebraska;New Mexico;North Dakota;South Dakota;Wyoming","otherGeospatial":"Wind River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.37,35.87 ], [ -112.37,46.07 ], [ -102.46,46.07 ], [ -102.46,35.87 ], [ -112.37,35.87 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"511229fee4b0ebe69d7eb604","contributors":{"authors":[{"text":"Pawlewicz, Mark J. pawlewicz@usgs.gov","contributorId":752,"corporation":false,"usgs":true,"family":"Pawlewicz","given":"Mark","email":"pawlewicz@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":472943,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finn, Thomas M. 0000-0001-6396-9351 finn@usgs.gov","orcid":"https://orcid.org/0000-0001-6396-9351","contributorId":778,"corporation":false,"usgs":true,"family":"Finn","given":"Thomas","email":"finn@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":472944,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043164,"text":"ds709O - 2013 - Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the South Helmand mineral district in Afghanistan: Chapter O in <i>Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan</i>","interactions":[],"lastModifiedDate":"2013-02-06T14:05:56","indexId":"ds709O","displayToPublicDate":"2013-02-05T00:00:00","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":"O","title":"Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the South Helmand mineral district in Afghanistan: Chapter O 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 South Helmand mineral district, which has travertine deposits. ALOS 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, 2008, 2010), 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. The selection criteria for the satellite imagery used in our mosaics were images having (1) the highest solar-elevation 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). All image data were initially projected and maintained in Universal Transverse Mercator (UTM) map projection using the target area’s local zone (41 for South Helmand) and the WGS84 datum. The final image mosaics were subdivided into eight overlapping tiles or quadrants because of the large size of the target area. The eight image tiles (or quadrants) for the South Helmand 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 (DS 709)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds709O","collaboration":"Prepared in cooperation with the U.S. Department of Defense <a href=\"http://tfbso.defense.gov/www/\" target=\"_blank\">Task Force for Business and Stability Operations</a> and the <a href=\"http://www.bgs.ac.uk/AfghanMinerals/\" target=\"_blank\">Afghanistan Geological Survey</a>.  This report is Chapter O 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., and Cagney, L.E., 2013, Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the South Helmand mineral district in Afghanistan: Chapter O 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, Readme; 2 Maps: 11 x 8.5 inches and 80.06 x 34.65 inches; 16 Image Files; 16 Metadata Files; 1 Shapefile; DS 709, https://doi.org/10.3133/ds709O.","productDescription":"Readme; 2 Maps: 11 x 8.5 inches and 80.06 x 34.65 inches; 16 Image Files; 16 Metadata Files; 1 Shapefile; DS 709","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2006-01-24","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":267079,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_709_O.jpg"},{"id":267071,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/ds/709/o/1_readme.txt"},{"id":267072,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/709/o/index_maps/index_maps.html"},{"id":267073,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/709/o/index_maps/South_Helmand_Area-of-Interest_Index_Map.pdf"},{"id":267070,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/709/o/"},{"id":267074,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/709/o/index_maps/South_Helmand_Image_Index_Map.pdf"},{"id":267075,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/ds/709/o/image_files/image_files.html"},{"id":267076,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/709/o/metadata/metadata.html"},{"id":267077,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/ds/709/o/shapefiles/shapefiles.html"},{"id":267078,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/ds/709/index.html"}],"country":"Afghanistan","otherGeospatial":"South Helmand Mineral District","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 63.25,29.25 ], [ 63.25,30.0 ], [ 65.0,30.0 ], [ 65.0,29.25 ], [ 63.25,29.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51138978e4b0a9ee4115ba28","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":473093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cagney, Laura E. 0000-0003-3282-2458 lcagney@usgs.gov","orcid":"https://orcid.org/0000-0003-3282-2458","contributorId":4744,"corporation":false,"usgs":true,"family":"Cagney","given":"Laura","email":"lcagney@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":473094,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043143,"text":"tm7C10 - 2013 - Computing ordinary least-squares parameter estimates for the National Descriptive Model of Mercury in Fish","interactions":[],"lastModifiedDate":"2013-02-05T16:04:45","indexId":"tm7C10","displayToPublicDate":"2013-02-05T00:00:00","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":"7-C10","title":"Computing ordinary least-squares parameter estimates for the National Descriptive Model of Mercury in Fish","docAbstract":"A specialized technique is used to compute weighted ordinary least-squares (OLS) estimates of the parameters of the National Descriptive Model of Mercury in Fish (NDMMF) in less time using less computer memory than general methods. The characteristics of the NDMMF allow the two products <i><b>X'X</i></b> and <i><b>X'y</i></b> in the normal equations to be filled out in a second or two of computer time during a single pass through the N data observations. As a result, the matrix <i><b>X</i></b> does not have to be stored in computer memory and the computationally expensive matrix multiplications generally required to produce <i><b>X'X</i></b> and <i><b>X'y</i></b> do not have to be carried out. The normal equations may then be solved to determine the best-fit parameters in the OLS sense. The computational solution based on this specialized technique requires O(8<i>p</i><sup>2</sup>+16<i>p</i>) bytes of computer memory for <i>p</i> parameters on a machine with 8-byte double-precision numbers. This publication includes a reference implementation of this technique and a Gaussian-elimination solver in preliminary custom software.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section C: Computer programs in Book 7 <i>Automated Data Processing and Computations</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm7C10","collaboration":"This report is Chapter 10 of Section C: Computer programs in Book 7 <i>Automated Data Processing and Computations</i>","usgsCitation":"Donato, D.I., 2013, Computing ordinary least-squares parameter estimates for the National Descriptive Model of Mercury in Fish: U.S. Geological Survey Techniques and Methods 7-C10, iii, 9 p.; Appendix, https://doi.org/10.3133/tm7C10.","productDescription":"iii, 9 p.; Appendix","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":267063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_7_c10.gif"},{"id":267060,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/07/c10/"},{"id":267062,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/tm/07/c10/Ols.zip"},{"id":267061,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/07/c10/pdf/tm7-c10.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"511229e3e4b0ebe69d7eb5fc","contributors":{"authors":[{"text":"Donato, David I. 0000-0002-5412-0249 didonato@usgs.gov","orcid":"https://orcid.org/0000-0002-5412-0249","contributorId":2234,"corporation":false,"usgs":true,"family":"Donato","given":"David","email":"didonato@usgs.gov","middleInitial":"I.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":473038,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045219,"text":"70045219 - 2013 - Temporal shifts in top-down vs. bottom-up control of epiphytic algae in a seagrass ecosystem","interactions":[],"lastModifiedDate":"2024-04-19T21:10:24.024228","indexId":"70045219","displayToPublicDate":"2013-02-01T16:09:09","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Temporal shifts in top-down vs. bottom-up control of epiphytic algae in a seagrass ecosystem","docAbstract":"<p><span>In coastal marine food webs, small invertebrate herbivores (mesograzers) have long been hypothesized to occupy an important position facilitating dominance of habitat-forming macrophytes by grazing competitively superior epiphytic algae. Because of the difficulty of manipulating mesograzers in the field, however, their impacts on community organization have rarely been rigorously documented. Understanding mesograzer impacts has taken on increased urgency in seagrass systems due to declines in seagrasses globally, caused in part by widespread eutrophication favoring seagrass overgrowth by faster-growing algae. Using cage-free field experiments in two seasons (fall and summer), we present experimental confirmation that mesograzer reduction and nutrients can promote blooms of epiphytic algae growing on eelgrass (</span><i>Zostera marina</i><span>). In this study, nutrient additions increased epiphytes only in the fall following natural decline of mesograzers. In the summer, experimental mesograzer reduction stimulated a 447% increase in epiphytes, appearing to exacerbate seasonal dieback of eelgrass. Using structural equation modeling, we illuminate the temporal dynamics of complex interactions between macrophytes, mesograzers, and epiphytes in the summer experiment. An unexpected result emerged from investigating the interaction network: drift macroalgae indirectly reduced epiphytes by providing structure for mesograzers, suggesting that the net effect of macroalgae on seagrass depends on macroalgal density. Our results show that mesograzers can control proliferation of epiphytic algae, that top-down and bottom-up forcing are temporally variable, and that the presence of macroalgae can strengthen top-down control of epiphytic algae, potentially contributing to eelgrass persistence.</span></p>","language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","doi":"10.1890/12-0156.1","usgsCitation":"Whalen, M.A., Duffy, J.E., and Grace, J.B., 2013, Temporal shifts in top-down vs. bottom-up control of epiphytic algae in a seagrass ecosystem: Ecology, v. 94, no. 2, p. 510-520, https://doi.org/10.1890/12-0156.1.","productDescription":"11 p.","startPage":"510","endPage":"520","ipdsId":"IP-035382","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":487244,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.wm.edu/vimsarticles/1732","text":"External Repository"},{"id":364455,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"94","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515d4161e4b0803bd2eec4fb","contributors":{"authors":[{"text":"Whalen, Matthew A.","contributorId":94180,"corporation":false,"usgs":true,"family":"Whalen","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":517643,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duffy, J. Emmett","contributorId":78186,"corporation":false,"usgs":true,"family":"Duffy","given":"J.","email":"","middleInitial":"Emmett","affiliations":[],"preferred":false,"id":517642,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":517641,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047359,"text":"70047359 - 2013 - Representing the acquisition and use of energy by individuals in agent-based models of animal populations","interactions":[],"lastModifiedDate":"2013-08-01T15:57:24","indexId":"70047359","displayToPublicDate":"2013-02-01T15:53:00","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":"Representing the acquisition and use of energy by individuals in agent-based models of animal populations","docAbstract":"1. Agent-based models (ABMs) are widely used to predict how populations respond to changing environments. As the availability of food varies in space and time, individuals should have their own energy budgets, but there is no consensus as to how these should be modelled. Here, we use knowledge of physiological ecology to identify major issues confronting the modeller and to make recommendations about how energy budgets for use in ABMs should be constructed.\n<br>\n<br>\n2. Our proposal is that modelled animals forage as necessary to supply their energy needs for maintenance, growth and reproduction. If there is sufficient energy intake, an animal allocates the energy obtained in the order: maintenance, growth, reproduction, energy storage, until its energy stores reach an optimal level. If there is a shortfall, the priorities for maintenance and growth/reproduction remain the same until reserves fall to a critical threshold below which all are allocated to maintenance. Rates of ingestion and allocation depend on body mass and temperature. We make suggestions for how each of these processes should be modelled mathematically.\n<br>\n<br>\n3. Mortality rates vary with body mass and temperature according to known relationships, and these can be used to obtain estimates of background mortality rate.\n<br>\n<br>\n4. If parameter values cannot be obtained directly, then values may provisionally be obtained by parameter borrowing, pattern-oriented modelling, artificial evolution or from allometric equations.\n<br>\n<br>\n5. The development of ABMs incorporating individual energy budgets is essential for realistic modelling of populations affected by food availability. Such ABMs are already being used to guide conservation planning of nature reserves and shell fisheries, to assess environmental impacts of building proposals including wind farms and highways and to assess the effects on nontarget organisms of chemicals for the control of agricultural pests.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Methods in Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210x.12002","usgsCitation":"Sibly, R.M., Grimm, V., Martin, B.T., Johnston, A., Kulakowska, K., Topping, C.J., Calow, P., Nabe-Nielsen, J., Thorbek, P., and DeAngelis, D., 2013, Representing the acquisition and use of energy by individuals in agent-based models of animal populations: Methods in Ecology and Evolution, v. 4, no. 2, p. 151-161, https://doi.org/10.1111/2041-210x.12002.","productDescription":"11 p.","startPage":"151","endPage":"161","numberOfPages":"11","ipdsId":"IP-037071","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473955,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/2041-210x.12002","text":"External Repository"},{"id":275897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275896,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/2041-210x.12002"}],"volume":"4","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-11-16","publicationStatus":"PW","scienceBaseUri":"51fbca7fe4b04b00e3d890d1","contributors":{"authors":[{"text":"Sibly, Richard M.","contributorId":104383,"corporation":false,"usgs":true,"family":"Sibly","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":481827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grimm, Volker","contributorId":89656,"corporation":false,"usgs":true,"family":"Grimm","given":"Volker","email":"","affiliations":[],"preferred":false,"id":481826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Benjamin T.","contributorId":13122,"corporation":false,"usgs":true,"family":"Martin","given":"Benjamin","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":481819,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnston, Alice","contributorId":32438,"corporation":false,"usgs":true,"family":"Johnston","given":"Alice","email":"","affiliations":[],"preferred":false,"id":481821,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kulakowska, Katarzyna","contributorId":37237,"corporation":false,"usgs":true,"family":"Kulakowska","given":"Katarzyna","email":"","affiliations":[],"preferred":false,"id":481823,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Topping, Christopher J.","contributorId":25851,"corporation":false,"usgs":true,"family":"Topping","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":481820,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Calow, Peter","contributorId":76215,"corporation":false,"usgs":true,"family":"Calow","given":"Peter","email":"","affiliations":[],"preferred":false,"id":481824,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nabe-Nielsen, Jacob","contributorId":12767,"corporation":false,"usgs":true,"family":"Nabe-Nielsen","given":"Jacob","email":"","affiliations":[],"preferred":false,"id":481818,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thorbek, Pernille","contributorId":35058,"corporation":false,"usgs":true,"family":"Thorbek","given":"Pernille","email":"","affiliations":[],"preferred":false,"id":481822,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":88015,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","affiliations":[],"preferred":false,"id":481825,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70047360,"text":"70047360 - 2013 - Trait contributions to fish community assembly emerge from trophicinteractions in an individual-based model","interactions":[],"lastModifiedDate":"2013-08-01T15:50:16","indexId":"70047360","displayToPublicDate":"2013-02-01T15:43:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Trait contributions to fish community assembly emerge from trophicinteractions in an individual-based model","docAbstract":"Community ecology seeks to understand and predict the characteristics of communities that can develop under different environmental conditions, but most theory has been built on analytical models that are limited in the diversity of species traits that can be considered simultaneously. We address that limitation with an individual-based model to simulate assembly of fish communities characterized by life history and trophic interactions with multiple physiological tradeoffs as constraints on species performance. Simulation experiments were carried out to evaluate the distribution of 6 life history and 4 feeding traits along gradients of resource productivity and prey accessibility. These experiments revealed that traits differ greatly in importance for species sorting along the gradients. Body growth rate emerged as a key factor distinguishing community types and defining patterns of community stability and coexistence, followed by egg size and maximum body size. Dominance by fast-growing, relatively large, and fecund species occurred more frequently in cases where functional responses were saturated (i.e. high productivity and/or prey accessibility). Such dominance was associated with large biomass fluctuations and priority effects, which prevented richness from increasing with productivity and may have limited selection on secondary traits, such as spawning strategies and relative size at maturation. Our results illustrate that the distribution of species traits and the consequences for community dynamics are intimately linked and strictly dependent on how the benefits and costs of these traits are balanced across different conditions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Modelling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2012.12.003","usgsCitation":"Giacomini, H.C., DeAngelis, D., Trexler, J.C., and Petrere, M., 2013, Trait contributions to fish community assembly emerge from trophicinteractions in an individual-based model: Ecological Modelling, v. 251, p. 32-43, https://doi.org/10.1016/j.ecolmodel.2012.12.003.","productDescription":"12 p.","startPage":"32","endPage":"43","numberOfPages":"12","ipdsId":"IP-042265","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":275895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275894,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2012.12.003"}],"volume":"251","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fbca84e4b04b00e3d8912d","contributors":{"authors":[{"text":"Giacomini, Henrique C.","contributorId":62913,"corporation":false,"usgs":true,"family":"Giacomini","given":"Henrique","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":481830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, Donald","contributorId":30126,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","affiliations":[],"preferred":false,"id":481828,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trexler, Joel C.","contributorId":36267,"corporation":false,"usgs":false,"family":"Trexler","given":"Joel","email":"","middleInitial":"C.","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":481829,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petrere, Miguel Jr.","contributorId":84655,"corporation":false,"usgs":true,"family":"Petrere","given":"Miguel","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":481831,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047358,"text":"70047358 - 2013 - Deep subsurface drip irrigation using coal-bed sodic water: part II. geochemistry","interactions":[],"lastModifiedDate":"2013-08-01T15:41:09","indexId":"70047358","displayToPublicDate":"2013-02-01T15:35:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":680,"text":"Agricultural Water Management","active":true,"publicationSubtype":{"id":10}},"title":"Deep subsurface drip irrigation using coal-bed sodic water: part II. geochemistry","docAbstract":"Waters with low salinity and high sodium adsorption ratios (SARs) present a challenge to irrigation because they degrade soil structure and infiltration capacity. In the Powder River Basin of Wyoming, such low salinity (electrical conductivity, EC 2.1 mS cm<sup>-1</sup>) and high-SAR (54) waters are co-produced with coal-bed methane and some are used for subsurface drip irrigation(SDI). The SDI system studied mixes sulfuric acid with irrigation water and applies water year-round via drip tubing buried 92 cm deep. After six years of irrigation, SAR values between 0 and 30 cm depth (0.5-1.2) are only slightly increased over non-irrigated soils (0.1-0.5). Only 8-15% of added Na has accumulated above the drip tubing. Sodicity has increased in soil surrounding the drip tubing, and geochemical simulations show that two pathways can generate sodic conditions. In soil between 45-cm depth and the drip tubing, Na from the irrigation water accumulates as evapotranspiration concentrates solutes. SAR values >12, measured by 1:1 water-soil extracts, are caused by concentration of solutes by factors up to 13. Low-EC (<0.7 mS cm<sup>-1</sup>) is caused by rain and snowmelt flushing the soil and displacing ions in soil solution. Soil below the drip tubing experiences lower solute concentration factors (1-1.65) due to excess irrigation water and also contains relatively abundant native gypsum (2.4 &plusmn; 1.7 wt.%). Geochemical simulations show gypsum dissolution decreases soil-water SAR to <7 and increases the EC to around 4.1 mS cm-1, thus limiting negative impacts from sodicity. With sustained irrigation, however, downward flow of excess irrigation water depletes gypsum, increasing soil-water SAR to >14 and decreasing EC in soil water to 3.2 mS cm-1. Increased sodicity in the subsurface, rather than the surface, indicates that deep SDI can be a viable means of irrigating with sodic waters.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Agricultural Water Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.agwat.2012.11.013","usgsCitation":"Bern, C., Breit, G.N., Healy, R.W., and Zupancic, J.W., 2013, Deep subsurface drip irrigation using coal-bed sodic water: part II. geochemistry: Agricultural Water Management, v. 118, p. 135-149, https://doi.org/10.1016/j.agwat.2012.11.013.","productDescription":"15 p.","startPage":"135","endPage":"149","numberOfPages":"15","ipdsId":"IP-036925","costCenters":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"links":[{"id":275893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275802,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.agwat.2012.11.013"},{"id":275803,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S037837741200306X"}],"country":"United States","state":"Wyoming","otherGeospatial":"Powder River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.269986,44.690745 ], [ -106.269986,44.955734 ], [ -106.858878,44.955734 ], [ -106.858878,44.690745 ], [ -106.269986,44.690745 ] ] ] } } ] }","volume":"118","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fbca70e4b04b00e3d88fa4","chorus":{"doi":"10.1016/j.agwat.2012.11.013","url":"http://dx.doi.org/10.1016/j.agwat.2012.11.013","publisher":"Elsevier BV","authors":"Bern Carleton R., Breit George N., Healy Richard W., Zupancic John W.","journalName":"Agricultural Water Management","publicationDate":"2/2013","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Bern, Carleton R.","contributorId":59325,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton R.","affiliations":[],"preferred":false,"id":481816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breit, George N. 0000-0003-2188-6798 gbreit@usgs.gov","orcid":"https://orcid.org/0000-0003-2188-6798","contributorId":1480,"corporation":false,"usgs":true,"family":"Breit","given":"George","email":"gbreit@usgs.gov","middleInitial":"N.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":481815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Healy, Richard W. 0000-0002-0224-1858 rwhealy@usgs.gov","orcid":"https://orcid.org/0000-0002-0224-1858","contributorId":658,"corporation":false,"usgs":true,"family":"Healy","given":"Richard","email":"rwhealy@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":481814,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zupancic, John W.","contributorId":73885,"corporation":false,"usgs":true,"family":"Zupancic","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":481817,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047357,"text":"70047357 - 2013 - Deep subsurface drip irrigation using coal-bed sodic water: part I. water and solute movement","interactions":[],"lastModifiedDate":"2013-08-01T15:34:53","indexId":"70047357","displayToPublicDate":"2013-02-01T15:26:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":680,"text":"Agricultural Water Management","active":true,"publicationSubtype":{"id":10}},"title":"Deep subsurface drip irrigation using coal-bed sodic water: part I. water and solute movement","docAbstract":"Water co-produced with coal-bed methane (CBM) in the semi-arid Powder River Basin of Wyoming and Montana commonly has relatively low salinity and high sodium adsorption ratios that can degrade soil permeability where used for irrigation. Nevertheless, a desire to derive beneficial use from the water and a need to dispose of large volumes of it have motivated the design of a deep subsurface drip irrigation (SDI) system capable of utilizing that water. Drip tubing is buried 92 cm deep and irrigates at a relatively constant rate year-round, while evapotranspiration by the alfalfa and grass crops grown is seasonal. We use field data from two sites and computer simulations of unsaturated flow to understand water and solute movements in the SDI fields. Combined irrigation and precipitation exceed potential evapotranspiration by 300-480 mm annually. Initially, excess water contributes to increased storage in the unsaturated zone, and then drainage causes cyclical rises in the water table beneath the fields. Native chloride and nitrate below 200 cm depth are leached by the drainage. Some CBM water moves upward from the drip tubing, drawn by drier conditions above. Chloride from CBM water accumulates there as root uptake removes the water. Year over year accumulations indicated by computer simulations illustrate that infiltration of precipitation water from the surface only partially leaches such accumulations away. Field data show that 7% and 27% of added chloride has accumulated above the drip tubing in an alfalfa and grass field, respectively, following 6 years of irrigation. Maximum chloride concentrations in the alfalfa field are around 45 cm depth but reach the surface in parts of the grass field, illustrating differences driven by crop physiology. Deep SDI offers a means of utilizing marginal quality irrigation waters and managing the accumulation of their associated solutes in the crop rooting zone.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Agricultural Water Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.agwat.2012.11.014","usgsCitation":"Bern, C., Breit, G.N., Healy, R.W., Zupancic, J.W., and Hammack, R., 2013, Deep subsurface drip irrigation using coal-bed sodic water: part I. water and solute movement: Agricultural Water Management, v. 118, p. 122-134, https://doi.org/10.1016/j.agwat.2012.11.014.","productDescription":"13 p.","startPage":"122","endPage":"134","numberOfPages":"13","ipdsId":"IP-036926","costCenters":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"links":[{"id":275891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275800,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.agwat.2012.11.014"},{"id":275801,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S0378377412003071"}],"country":"United States","state":"Wyoming","otherGeospatial":"Powder River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.858878,44.690745 ], [ -106.858878,44.955734 ], [ -106.269986,44.955734 ], [ -106.269986,44.690745 ], [ -106.858878,44.690745 ] ] ] } } ] }","volume":"118","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51fbca70e4b04b00e3d88fa0","chorus":{"doi":"10.1016/j.agwat.2012.11.014","url":"http://dx.doi.org/10.1016/j.agwat.2012.11.014","publisher":"Elsevier BV","authors":"Bern Carleton R., Breit George N., Healy Richard W., Zupancic John W., Hammack Richard","journalName":"Agricultural Water Management","publicationDate":"2/2013","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Bern, Carleton R.","contributorId":59325,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton R.","affiliations":[],"preferred":false,"id":481812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breit, George N. 0000-0003-2188-6798 gbreit@usgs.gov","orcid":"https://orcid.org/0000-0003-2188-6798","contributorId":1480,"corporation":false,"usgs":true,"family":"Breit","given":"George","email":"gbreit@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":481810,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Healy, Richard W. 0000-0002-0224-1858 rwhealy@usgs.gov","orcid":"https://orcid.org/0000-0002-0224-1858","contributorId":658,"corporation":false,"usgs":true,"family":"Healy","given":"Richard","email":"rwhealy@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":481809,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zupancic, John W.","contributorId":73885,"corporation":false,"usgs":true,"family":"Zupancic","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":481813,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hammack, Richard","contributorId":44449,"corporation":false,"usgs":true,"family":"Hammack","given":"Richard","affiliations":[],"preferred":false,"id":481811,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048251,"text":"70048251 - 2013 - Summary of 2012 reconnaissance field studies related to the petroleum geology of the Nenana Basin, interior Alaska","interactions":[],"lastModifiedDate":"2023-06-05T15:31:45.308232","indexId":"70048251","displayToPublicDate":"2013-02-01T14:48:37","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":239,"text":"Alaska Division of Geological & Geophysical Surveys Preliminary Interpretive Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"2013-2","title":"Summary of 2012 reconnaissance field studies related to the petroleum geology of the Nenana Basin, interior Alaska","docAbstract":"<p>The Alaska Division of Geological & Geophysical Surveys (DGGS) recently initiated a multi-year review of the hydrocarbon potential of frontier sedimentary basins in Alaska (Swenson and others, 2012). In collaboration with the Alaska \nDivision of Oil & Gas and the U.S. Geological Survey we conducted reconnaissance field studies in two basins with recognized \nnatural gas potential—the Susitna basin and the Nenana basin (LePain and others, 2012). This paper summarizes our initial \nwork on the Nenana basin; a brief summary of our work in the Susitna basin can be found in Gillis and others (in press).</p>\n<br/>\n<p>During early May 2012, we conducted ten days of helicopter-supported fieldwork and reconnaissance sampling along \nthe northern Alaska Range foothills and Yukon–Tanana upland near Fairbanks (fig. 1). The goal of this work was to improve \nour understanding of the geologic development of the Nenana basin and to collect a suite of samples to better evaluate \nhydrocarbon potential. Most laboratory analyses have not yet been completed, so this preliminary report serves as a summary of field data and sets the framework for future, more comprehensive analysis to be presented in later publications.</p>","language":"English","publisher":"Alaska Division of Geological and Geophysical Surveys","publisherLocation":"Fairbanks, AK","usgsCitation":"Wartes, M.A., Gillis, R., Herriott, T., Stanley, R.G., Helmold, K.P., Peterson, C.S., and Benowitz, J.A., 2013, Summary of 2012 reconnaissance field studies related to the petroleum geology of the Nenana Basin, interior Alaska: Alaska Division of Geological & Geophysical Surveys Preliminary Interpretive Report 2013-2, 13 p.","productDescription":"13 p.","numberOfPages":"17","ipdsId":"IP-043902","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":279288,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277832,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.dggs.dnr.state.ak.us/pubs/id/24880"}],"country":"United States","state":"Alaska","otherGeospatial":"Nenana Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -151.96,62.49 ], [ -151.96,66.0 ], [ -143.25,66.0 ], [ -143.25,62.49 ], [ -151.96,62.49 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7845e4b0abf75cf2d009","contributors":{"authors":[{"text":"Wartes, Marwan A.","contributorId":47476,"corporation":false,"usgs":true,"family":"Wartes","given":"Marwan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gillis, Robert J.","contributorId":69438,"corporation":false,"usgs":true,"family":"Gillis","given":"Robert J.","affiliations":[],"preferred":false,"id":484161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herriott, Trystan M.","contributorId":68845,"corporation":false,"usgs":true,"family":"Herriott","given":"Trystan M.","affiliations":[],"preferred":false,"id":484160,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanley, Richard G. 0000-0001-6192-8783 rstanley@usgs.gov","orcid":"https://orcid.org/0000-0001-6192-8783","contributorId":1832,"corporation":false,"usgs":true,"family":"Stanley","given":"Richard","email":"rstanley@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":484156,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Helmold, Kenneth P.","contributorId":69456,"corporation":false,"usgs":true,"family":"Helmold","given":"Kenneth","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":484162,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peterson, C. Shaun","contributorId":54100,"corporation":false,"usgs":true,"family":"Peterson","given":"C.","email":"","middleInitial":"Shaun","affiliations":[],"preferred":false,"id":484159,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Benowitz, Jeffrey A.","contributorId":11928,"corporation":false,"usgs":true,"family":"Benowitz","given":"Jeffrey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484157,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70199859,"text":"70199859 - 2013 - Modeling plant species distributions under future climates: how fine scale do climate projections need to be?","interactions":[],"lastModifiedDate":"2018-10-01T14:47:22","indexId":"70199859","displayToPublicDate":"2013-02-01T14:46:36","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":"Modeling plant species distributions under future climates: how fine scale do climate projections need to be?","docAbstract":"<p><span>Recent studies suggest that species distribution models (SDMs) based on fine‐scale climate data may provide markedly different estimates of climate‐change impacts than coarse‐scale models. However, these studies disagree in their conclusions of how scale influences projected species distributions. In rugged terrain, coarse‐scale climate grids may not capture topographically controlled climate variation at the scale that constitutes microhabitat or refugia for some species. Although finer scale data are therefore considered to better reflect climatic conditions experienced by species, there have been few formal analyses of how modeled distributions differ with scale. We modeled distributions for 52 plant species endemic to the California Floristic Province of different life forms and range sizes under recent and future climate across a 2000‐fold range of spatial scales (0.008–16&nbsp;km</span><sup>2</sup><span>). We produced unique current and future climate datasets by separately downscaling 4 km climate models to three finer resolutions based on 800, 270, and 90&nbsp;m digital elevation models and deriving bioclimatic predictors from them. As climate‐data resolution became coarser, SDMs predicted larger habitat area with diminishing spatial congruence between fine‐ and coarse‐scale predictions. These trends were most pronounced at the coarsest resolutions and depended on climate scenario and species' range size. On average, SDMs projected onto 4 km climate data predicted 42% more stable habitat (the amount of spatial overlap between predicted current and future climatically suitable habitat) compared with 800&nbsp;m data. We found only modest agreement between areas predicted to be stable by 90 m models generalized to 4 km grids compared with areas classified as stable based on 4&nbsp;km models, suggesting that some climate refugia captured at finer scales may be missed using coarser scale data. These differences in projected locations of habitat change may have more serious implications than net habitat area when predictive maps form the basis of conservation decision making.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.12051","usgsCitation":"Franklin, J., Davis, F.W., Ikegami, M., Syphard, A.D., Flint, L.E., Flint, A.L., and Hannah, L., 2013, Modeling plant species distributions under future climates: how fine scale do climate projections need to be?: Global Change Biology, v. 19, no. 2, p. 473-483, https://doi.org/10.1111/gcb.12051.","productDescription":"11 p.","startPage":"473","endPage":"483","ipdsId":"IP-041557","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":473956,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/75k42636","text":"External 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aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":746936,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hannah, Lee","contributorId":208392,"corporation":false,"usgs":false,"family":"Hannah","given":"Lee","email":"","affiliations":[{"id":16938,"text":"Conservation International","active":true,"usgs":false}],"preferred":false,"id":746941,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70048253,"text":"70048253 - 2013 - Hydrocarbon-bearing sandstone in the Upper Jurassic Naknek Formation on the south shore of Kamishak Bay","interactions":[],"lastModifiedDate":"2023-06-05T15:33:47.539409","indexId":"70048253","displayToPublicDate":"2013-02-01T14:40:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":102,"text":"Alaska Division of Geological & Geophysical Surveys Preliminary Interpretive Report","active":false,"publicationSubtype":{"id":2}},"seriesNumber":"2013-1E","title":"Hydrocarbon-bearing sandstone in the Upper Jurassic Naknek Formation on the south shore of Kamishak Bay","docAbstract":"The presence of an active petroleum system in Kamishak Bay is demonstrated by an outcrop of hydrocarbon-bearing \nsandstone in the Upper Jurassic Naknek Formation near the south shore of the bay (fig. 1). The outcrop is about 140 km \nsouthwest of Homer on a small, unnamed island near the mouth of the Douglas River (fig. 17). The existence of this outcrop was kindly reported to us by Les Magoon (U.S. Geological Survey, emeritus), who also provided a topographic map \nshowing its exact position. The outcrop was mentioned very briefly in publications by Magoon and others (1975, p. 19) \nand by Lyle and Morehouse (1977, p. E-1), but to our knowledge there are no detailed descriptions of this outcrop or its \nhydrocarbons in the published scientific literature.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Overview of 2012 field studies: Upper Alaska Peninsula and west side of lower Cook Inlet, Alaska","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"Alaska Division of Geological and Geophysical Surveys","usgsCitation":"Stanley, R.G., Herriott, T., Helmold, K.P., Gillis, R., and Lillis, P.G., 2013, Hydrocarbon-bearing sandstone in the Upper Jurassic Naknek Formation on the south shore of Kamishak Bay: Alaska Division of Geological & Geophysical Surveys Preliminary Interpretive Report 2013-1E, 5 p.","productDescription":"5 p.","startPage":"19","endPage":"23","numberOfPages":"5","ipdsId":"IP-042892","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":287702,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280711,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.dggs.alaska.gov/pubs/id/24848"}],"country":"United States","state":"Alaska","otherGeospatial":"Douglas River, Kamishak Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.0,58.0 ], [ -156.0,61.0 ], [ -151.5,61.0 ], [ -151.5,58.0 ], [ -156.0,58.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53870569e4b0aa26cd7b53ac","contributors":{"authors":[{"text":"Stanley, Richard G. 0000-0001-6192-8783 rstanley@usgs.gov","orcid":"https://orcid.org/0000-0001-6192-8783","contributorId":1832,"corporation":false,"usgs":true,"family":"Stanley","given":"Richard","email":"rstanley@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":484169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herriott, Trystan M.","contributorId":68845,"corporation":false,"usgs":true,"family":"Herriott","given":"Trystan M.","affiliations":[],"preferred":false,"id":484170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Helmold, Kenneth P.","contributorId":69456,"corporation":false,"usgs":true,"family":"Helmold","given":"Kenneth","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":484172,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gillis, Robert J.","contributorId":69438,"corporation":false,"usgs":true,"family":"Gillis","given":"Robert J.","affiliations":[],"preferred":false,"id":484171,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":484168,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048252,"text":"70048252 - 2013 - Reconnaissance studies of potential petroleum source rocks in the Middle Jurassic Tuxedni Group near Red Glacier, eastern slope of Iliamna Volcano","interactions":[],"lastModifiedDate":"2023-06-05T15:36:48.77785","indexId":"70048252","displayToPublicDate":"2013-02-01T14:38:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":239,"text":"Alaska Division of Geological & Geophysical Surveys Preliminary Interpretive Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"2013-1B","title":"Reconnaissance studies of potential petroleum source rocks in the Middle Jurassic Tuxedni Group near Red Glacier, eastern slope of Iliamna Volcano","docAbstract":"Previous geological and organic geochemical studies have concluded that organic-rich marine shale in the Middle Jurassic Tuxedni Group is the principal source rock of oil and associated gas in Cook Inlet (Magoon and Anders, 1992; Magoon, 1994; Lillis and Stanley, 2011; LePain and others, 2012; LePain and others, submitted). During May 2009 helicopter-assisted field studies, 19 samples of dark-colored, fine-grained rocks were collected from exposures of the Red Glacier Formation of the Tuxedni Group near Red Glacier, about 70 km west of Ninilchik on the eastern flank of Iliamna Volcano (figs. 1 and 3). The rock samples were submitted to a commercial laboratory for analysis by Rock-Eval pyrolysis and to the U.S. Geological Survey organic geochemical laboratory in Denver, Colorado, for analysis of vitrinite reflectance. The results show that values of vitrinite reflectance (percent R<sub>o</sub>) in our samples average about 2 percent, much higher than the oil window range of 0.6–1.3 percent (Johnsson and others, 1993). The high vitrinite reflectance values indicate that the rock samples experienced significant heating and furthermore suggest that these rocks may have generated oil and gas in the past but no longer have any hydrocarbon source potential. The high thermal maturity of the rock samples may have resulted from (1) the thermaleffects of igneous activity (including intrusion by igneous rocks), (2) deep burial beneath Jurassic, Cretaceous, and Tertiary strata that were subsequently removed by uplift and erosion, or (3) the combined effects of igneous activity and burial.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Overview of 2012 field studies: Upper Alaska Peninsula and west side of lower Cook Inlet, Alaska (Alaska Division of Geological & Geophysical Surveys Preliminary Interpretive Report 2013-1)","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Alaska Division of Geological and Geophysical Surveys","usgsCitation":"Stanley, R.G., Herriott, T., LePain, D., Helmold, K.P., and Peterson, C.S., 2013, Reconnaissance studies of potential petroleum source rocks in the Middle Jurassic Tuxedni Group near Red Glacier, eastern slope of Iliamna Volcano: Alaska Division of Geological & Geophysical Surveys Preliminary Interpretive Report 2013-1B, 5 p.","productDescription":"5 p.","startPage":"5","endPage":"9","ipdsId":"IP-042894","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":279275,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277833,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.dggs.dnr.state.ak.us/pubs/id/24824"}],"country":"United States","state":"Alaska","otherGeospatial":"Iliamna Volcano, Red Glacier","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -153.37585474005056,\n              60.326871087572016\n            ],\n            [\n              -153.37585474005056,\n              59.76667686431813\n            ],\n            [\n              -152.56184991356824,\n              59.76667686431813\n            ],\n            [\n              -152.56184991356824,\n              60.326871087572016\n            ],\n            [\n              -153.37585474005056,\n              60.326871087572016\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7804e4b0abf75cf2c7c0","contributors":{"authors":[{"text":"Stanley, Richard G. 0000-0001-6192-8783 rstanley@usgs.gov","orcid":"https://orcid.org/0000-0001-6192-8783","contributorId":1832,"corporation":false,"usgs":true,"family":"Stanley","given":"Richard","email":"rstanley@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":484163,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herriott, Trystan M.","contributorId":68845,"corporation":false,"usgs":true,"family":"Herriott","given":"Trystan M.","affiliations":[],"preferred":false,"id":484165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LePain, David L.","contributorId":105209,"corporation":false,"usgs":true,"family":"LePain","given":"David L.","affiliations":[],"preferred":false,"id":484167,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Helmold, Kenneth P.","contributorId":69456,"corporation":false,"usgs":true,"family":"Helmold","given":"Kenneth","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":484166,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peterson, C. Shaun","contributorId":54100,"corporation":false,"usgs":true,"family":"Peterson","given":"C.","email":"","middleInitial":"Shaun","affiliations":[],"preferred":false,"id":484164,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048507,"text":"70048507 - 2013 - Dynamics of seabird colonies vulnerable to sea-level rise at French Frigate Shoals, Hawai`i","interactions":[],"lastModifiedDate":"2016-10-19T13:57:41","indexId":"70048507","displayToPublicDate":"2013-02-01T14:21:10","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":257,"text":"Hawai‘i Cooperative Studies Unit Technical Report","active":false,"publicationSubtype":{"id":3}},"seriesNumber":"HCSU-037","title":"Dynamics of seabird colonies vulnerable to sea-level rise at French Frigate Shoals, Hawai`i","docAbstract":"Globally, seabirds are vulnerable to anthropogenic threats both at sea and on land. Seabirds \ntypically nest colonially and show strong site fidelity; therefore, conservation strategies could \nbenefit from an understanding of the population dynamics and vulnerability of breeding colonies \nto climate change. More than 350 atolls exist across the Pacific Ocean; while they provide \nnesting habitat for many seabirds, they are also vulnerable to sea-level rise. We used French \nFrigate Shoals, the largest atoll in the Hawaiian Archipelago, as a case study to explore seabird \ncolony dynamics and the potential consequences of sea-level rise. We compiled a unique \ncombination of data sets: historical observations of islands and seabirds, a 30-year time series \nof population abundance, LiDAR- (light detection and ranging) derived elevations, and satellite\nimagery. To model population dynamics for ten species at Tern Island from 1980 to 2009, we \nused the Gompertz model with parameters for the population growth rate, density dependence, \nprocess variation, and observation error. We used a Bayesian approach to estimate the \nparameters. All species increased in a pattern that provided evidence of density dependence. \nDensity dependence may exacerbate the consequences of sea-level rise on seabirds because \nspecies that are already near the carrying capacity of the nesting habitat will be limited more \nthan species that still have space for population growth. Laysan Albatross (<i>Phoebastria \nimmutabilis</i>), Great Frigatebird (<i>Fregata minor</i>), Red-tailed Tropicbird (<i>Phaethon rubricauda</i>),\nMasked Booby (<i>Sula dactylatra</i>), Gray-backed Tern (<i>Onychoprion lunatus</i>), and White Tern\n(<i>Gygis alba</i>) are likely already at carrying capacity at Tern Island and therefore are most likely \nto be negatively impacted by sea-level rise. We project 12% of French Frigate Shoals (excluding \nLa Perouse Pinnacle) will be inundated with +1.0 m sea-level rise or 32% with +2.0 m. Gray-backed Terns that nest along the coastal perimeters of islands and shrub-nesting species that \nare habitat limited are especially vulnerable to sea-level rise. However, at Tern Island, seawalls\nand habitat creation may mitigate projected seabird population declines due to habitat loss. We \npredict substantial losses in seabird nesting habitat across the low-lying Hawaiian Islands by \n2100 and emphasize the need to restore higher elevation seabird colonies.","language":"English","publisher":"University of Hawai‘i at Hilo","publisherLocation":"Hilo, HI","usgsCitation":"Reynolds, M.H., Courtot, K., Krause, C.M., Seavy, N., Hartzell, P., and Hatfield, J.S., 2013, Dynamics of seabird colonies vulnerable to sea-level rise at French Frigate Shoals, Hawai`i: Hawai‘i Cooperative Studies Unit Technical Report HCSU-037, iv, 32 p.","productDescription":"iv, 32 p.","numberOfPages":"38","ipdsId":"IP-042488","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":279192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279191,"type":{"id":15,"text":"Index Page"},"url":"https://hilo.hawaii.edu/hcsu/publications.php"}],"country":"United States","state":"Hawai'i","otherGeospatial":"French Frigate Shoals","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -179.89,14.96 ], [ -179.89,35.48 ], [ -151.24,35.48 ], [ -151.24,14.96 ], [ -179.89,14.96 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"528c96ace4b0c629af44dda3","contributors":{"authors":[{"text":"Reynolds, Michelle H. 0000-0001-7253-8158 mreynolds@usgs.gov","orcid":"https://orcid.org/0000-0001-7253-8158","contributorId":3871,"corporation":false,"usgs":true,"family":"Reynolds","given":"Michelle","email":"mreynolds@usgs.gov","middleInitial":"H.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":484874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Courtot, Karen N.","contributorId":26909,"corporation":false,"usgs":true,"family":"Courtot","given":"Karen N.","affiliations":[],"preferred":false,"id":484876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krause, Crystal M.","contributorId":101919,"corporation":false,"usgs":true,"family":"Krause","given":"Crystal","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":484879,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seavy, Nathaniel E.","contributorId":19829,"corporation":false,"usgs":true,"family":"Seavy","given":"Nathaniel E.","affiliations":[],"preferred":false,"id":484875,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hartzell, Paula","contributorId":69050,"corporation":false,"usgs":true,"family":"Hartzell","given":"Paula","email":"","affiliations":[],"preferred":false,"id":484877,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hatfield, Jeff S.","contributorId":95187,"corporation":false,"usgs":true,"family":"Hatfield","given":"Jeff","email":"","middleInitial":"S.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":484878,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70118092,"text":"70118092 - 2013 - Ecosystem engineering varies spatially: a test of the vegetation modification paradigm for prairie dogs","interactions":[],"lastModifiedDate":"2014-07-25T14:37:11","indexId":"70118092","displayToPublicDate":"2013-02-01T14:16:29","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1446,"text":"Ecography: Pattern and Diversity in Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Ecosystem engineering varies spatially: a test of the vegetation modification paradigm for prairie dogs","docAbstract":"Colonial, burrowing herbivores can be engineers of grassland and shrubland ecosystems worldwide. Spatial variation in landscapes suggests caution when extrapolating single-place studies of single species, but lack of data and the need to generalize often leads to ‘model system’ thinking and application of results beyond appropriate statistical inference. Generalizations about the engineering effects of prairie dogs (<i>Cynomys</i> sp.) developed largely from intensive study at a single complex of black-tailed prairie dogs <i>C. ludovicianus</i> in northern mixed prairie, but have been extrapolated to other ecoregions and prairie dog species in North America, and other colonial, burrowing herbivores. We tested the paradigm that prairie dogs decrease vegetation volume and the cover of grasses and tall shrubs, and increase bare ground and forb cover. We sampled vegetation on and off 279 colonies at 13 complexes of 3 prairie dog species widely distributed across 5 ecoregions in North America. The paradigm was generally supported at 7 black-tailed prairie dog complexes in northern mixed prairie, where vegetation volume, grass cover, and tall shrub cover were lower, and bare ground and forb cover were higher, on colonies than at paired off-colony sites. Outside the northern mixed prairie, all 3 prairie dog species consistently reduced vegetation volume, but their effects on cover of plant functional groups varied with prairie dog species and the grazing tolerance of dominant perennial grasses. White-tailed prairie dogs <i>C. leucurus</i> in sagebrush steppe did not reduce shrub cover, whereas black-tailed prairie dogs suppressed shrub cover at all complexes with tall shrubs in the surrounding habitat matrix. Black-tailed prairie dogs in shortgrass steppe and Gunnison's prairie dogs <i>C. gunnisoni</i> in Colorado Plateau grassland both had relatively minor effects on grass cover, which may reflect the dominance of grazing-tolerant shortgrasses at both complexes. Variation in modification of vegetation structure may be understood in terms of the responses of different dominant perennial grasses to intense defoliation and differences in foraging behavior among prairie dog species. Spatial variation in the engineering role of prairie dogs suggests spatial variation in their keystone role, and spatial variation in the roles of other ecosystem engineers. Thus, ecosystem engineering can have a spatial component not evident from single-place studies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecography: Pattern and Diversity in Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Blackwell","publisherLocation":"New York, NY","doi":"10.1111/j.1600-0587.2012.07614.x","usgsCitation":"Baker, B.W., Augustine, D., Sedgwick, J., and Lubow, B., 2013, Ecosystem engineering varies spatially: a test of the vegetation modification paradigm for prairie dogs: Ecography: Pattern and Diversity in Ecology, v. 36, no. 2, p. 230-239, https://doi.org/10.1111/j.1600-0587.2012.07614.x.","productDescription":"10 p.","startPage":"230","endPage":"239","numberOfPages":"10","costCenters":[],"links":[{"id":291024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291023,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1600-0587.2012.07614.x"}],"volume":"36","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-04-04","publicationStatus":"PW","scienceBaseUri":"57f7f357e4b0bc0bec0a090b","contributors":{"authors":[{"text":"Baker, Bruce W. bakerb@usgs.gov","contributorId":95401,"corporation":false,"usgs":true,"family":"Baker","given":"Bruce","email":"bakerb@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":496275,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Augustine, David J.","contributorId":36849,"corporation":false,"usgs":true,"family":"Augustine","given":"David J.","affiliations":[],"preferred":false,"id":496272,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sedgwick, James A.","contributorId":55350,"corporation":false,"usgs":true,"family":"Sedgwick","given":"James A.","affiliations":[],"preferred":false,"id":496273,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lubow, Bruce C.","contributorId":59520,"corporation":false,"usgs":true,"family":"Lubow","given":"Bruce C.","affiliations":[],"preferred":false,"id":496274,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045661,"text":"70045661 - 2013 - Environmental factors that influence cyanobacteria and geosmin occurrence in reservoirs","interactions":[],"lastModifiedDate":"2021-03-18T16:15:47.555142","indexId":"70045661","displayToPublicDate":"2013-02-01T14:07:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Environmental factors that influence cyanobacteria and geosmin occurrence in reservoirs","docAbstract":"Phytoplankton are small to microscopic, free-floating algae that inhabit the open water of freshwater, estuarine, and saltwater systems. In freshwater lake and reservoirs systems, which are the focus of this chapter, phytoplankton communities commonly consist of assemblages of the major taxonomic groups, including green algae, diatoms, dinoflagellates, and cyanobacteria. Cyanobacteria are a diverse group of single-celled organisms that can exist in a wide range of environments, not just open water, because of their adaptability [1-3]. It is the adaptability of cyanobacteria that enables this group to dominate the phytoplankton community and even form nuisance or harmful blooms under certain environmental conditions [3-6]. In fact, cyanobacteria are predicted to adapt favorably to future climate change in freshwater systems compared to other phytoplankton groups because of their tolerance to rising temperatures, enhanced vertical thermal stratification of aquatic ecosystems, and alterations in seasonal and interannual weather patterns [7, 8]. Understanding those environmental conditions that favor cyanobacterial dominance and bloom formation has been the focus of research throughout the world because of the concomitant production and release of nuisance and toxic cyanobacterial-derived compounds [4-6, 7-10]. However, the complex interaction among the physical, chemical, and biological processes within lakes, reservoirs, and large rivers often makes it difficult to identify primary environmental factors that cause the production and release of these cyanobacterial by-products.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Current perspectives in contaminant hydrology and water resources sustainability","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"inTech","doi":"10.5772/54807","usgsCitation":"Journey, C.A., Beaulieu, K., and Bradley, P.M., 2013, Environmental factors that influence cyanobacteria and geosmin occurrence in reservoirs, chap. <i>of</i> Current perspectives in contaminant hydrology and water resources sustainability, p. 27-55, https://doi.org/10.5772/54807.","productDescription":"29 p.","startPage":"27","endPage":"55","numberOfPages":"29","ipdsId":"IP-040841","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":473957,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5772/54807","text":"Publisher Index Page"},{"id":275635,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","county":"Spartanburg County","otherGeospatial":"Lake William C. Bowen, Municipal Reservoir #1","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.183177,35.059373 ], [ -82.183177,35.148127 ], [ -81.94796,35.148127 ], [ -81.94796,35.059373 ], [ -82.183177,35.059373 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2013-02-27","publicationStatus":"PW","scienceBaseUri":"51fa31e3e4b076c3a8d82644","contributors":{"authors":[{"text":"Journey, Celeste A. 0000-0002-2284-5851 cjourney@usgs.gov","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":2617,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste","email":"cjourney@usgs.gov","middleInitial":"A.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":478008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beaulieu, Karen M. kmbeauli@usgs.gov","contributorId":2241,"corporation":false,"usgs":true,"family":"Beaulieu","given":"Karen M.","email":"kmbeauli@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478006,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048254,"text":"70048254 - 2013 - Preliminary stratigraphy and facies analysis of the Upper Cretaceous Kaguyak Formation, including a brief summary of newly discovered oil stain, upper Alaska Peninsula","interactions":[],"lastModifiedDate":"2023-06-05T15:39:46.197314","indexId":"70048254","displayToPublicDate":"2013-02-01T13:08:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":239,"text":"Alaska Division of Geological & Geophysical Surveys Preliminary Interpretive Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"2013-1F","title":"Preliminary stratigraphy and facies analysis of the Upper Cretaceous Kaguyak Formation, including a brief summary of newly discovered oil stain, upper Alaska Peninsula","docAbstract":"<p>The Alaska Division of Geological and Geophysical Surveys has an ongoing program aimed at evaluating the Mesozoic forearc stratigraphy, structure, and petroleum systems of lower Cook Inlet. Most of our field studies have focused on the Jurassic component of the petroleum system[this report.] However, in late July and early August of 2012, we initiated a study of the stratigraphy and reservoir potential of the Upper Cretaceous Kaguyak Formation.</p><p><br></p><p>The Kaguyak Formation is locally well exposed on the upper Alaska Peninsula (fig. 25) and was named by Keller and Reiser (1959) for a sequence of interbedded siltstone and sandstone of upper Campanian to Maastrichtian age that they estimated to be 1,450 m thick.Subsequent work by Detterman and Miller (1985) examined 900 m of section and interpreted the unit as the record of a prograding submarine fan.This interpretation of deep-water deposition contrasts with other Upper Cretaceous rocks exposed along the Alaska Peninsula and lower Cook Inlet that are generally described as nonmarine to shallow marine (Detterman and others, 1996; LePain and others, 2012).Based on foraminifera and palynomorphs from the COST No. 1 well, Magoon (1986) concluded that the Upper Cretaceous rocks were deposited in a variety of water depths and environments ranging from upper bathyal to nonmarine. During our recent fieldwork west and south of Fourpeaked Mountain, we similarly encountered markedly varying lithofacies in the Kaguyak Formation (fig. 25), and we also found oil-stained rocks that are consistent with the existence of an active petroleum system in Upper Cretaceous rocks on the upper Alaska Peninsula and in lower Cook Inlet. These field observations are summarized below.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Overview of 2012 field studies: Upper Alaska Peninsula and west side of lower Cook Inlet, Alaska (Alaska Division of Geological & Geophysical Surveys Preliminary Interpretive Report 2013-1)","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Alaska Division of Geological and Geophysical Surveys","usgsCitation":"Wartes, M.A., Decker, P.L., Stanley, R.G., Herriott, T., Helmold, K.P., and Gillis, R., 2013, Preliminary stratigraphy and facies analysis of the Upper Cretaceous Kaguyak Formation, including a brief summary of newly discovered oil stain, upper Alaska Peninsula: Alaska Division of Geological & Geophysical Surveys Preliminary Interpretive Report 2013-1F, 8 p.","productDescription":"8 p.","startPage":"25","endPage":"32","numberOfPages":"8","ipdsId":"IP-042891","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":279183,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277834,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.dggs.alaska.gov/pubs/id/24849"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -154.083333,58.5 ], [ -154.083333,59.0 ], [ -153.166667,59.0 ], [ -153.166667,58.5 ], [ -154.083333,58.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"528c96b9e4b0c629af44ddf6","contributors":{"authors":[{"text":"Wartes, Marwan A.","contributorId":47476,"corporation":false,"usgs":true,"family":"Wartes","given":"Marwan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484174,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Decker, Paul L.","contributorId":106582,"corporation":false,"usgs":true,"family":"Decker","given":"Paul","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":484178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanley, Richard G. 0000-0001-6192-8783 rstanley@usgs.gov","orcid":"https://orcid.org/0000-0001-6192-8783","contributorId":1832,"corporation":false,"usgs":true,"family":"Stanley","given":"Richard","email":"rstanley@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":484173,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Herriott, Trystan M.","contributorId":68845,"corporation":false,"usgs":true,"family":"Herriott","given":"Trystan M.","affiliations":[],"preferred":false,"id":484175,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Helmold, Kenneth P.","contributorId":69456,"corporation":false,"usgs":true,"family":"Helmold","given":"Kenneth","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":484177,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gillis, Robert J.","contributorId":69438,"corporation":false,"usgs":true,"family":"Gillis","given":"Robert J.","affiliations":[],"preferred":false,"id":484176,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70118576,"text":"70118576 - 2013 - Structural design of Kaohsiung Stadium, Taiwan","interactions":[],"lastModifiedDate":"2014-07-29T12:54:21","indexId":"70118576","displayToPublicDate":"2013-02-01T12:52:32","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3484,"text":"Structural Engineering International","active":true,"publicationSubtype":{"id":10}},"title":"Structural design of Kaohsiung Stadium, Taiwan","docAbstract":"This paper presents an outline description of the structural design of the main stadium for the World Games held in Kaohsiung City, Taiwan, in 2009. Three new design concepts, unseen in previous stadiums, were proposed and realized: “an open stadium”, “an urban park”, and “a spiral continuous form”. Based on the open stadium concept, simple cantilever trusses in the roof structure were arranged in a delicate rhythm, and a so-called oscillating hoop of steel tubes was wound around the top and bottom surfaces of a group of cantilever trusses to form a continuous spiral form. Also, at the same time by clearly grouping the structural elements of the roof structure, the dramatic effect of the urban park was highlighted by unifying the landscape and the spectator seating area to form the stadium facade. This paper specifically reports on the overview of the building, concepts of structural design, structural analysis of the roof, roof design, foundation design, and an outline of the construction.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Structural Engineering International","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Association for Bridge and Structural Engineering","publisherLocation":"Zurich","doi":"10.2749/101686613X13363929988539","usgsCitation":"Watanabe, H., Tanno, Y., Nakai, M., Ohshima, T., Suguichi, A., Lee, W.H., and Wang, J., 2013, Structural design of Kaohsiung Stadium, Taiwan: Structural Engineering International, v. 23, no. 1, p. 75-79, https://doi.org/10.2749/101686613X13363929988539.","productDescription":"5 p.","startPage":"75","endPage":"79","numberOfPages":"5","costCenters":[],"links":[{"id":291314,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291313,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2749/101686613X13363929988539"}],"country":"Taiwan","city":"Kaohsiung City","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 120.1747,22.4756 ], [ 120.1747,23.4717 ], [ 121.049,23.4717 ], [ 121.049,22.4756 ], [ 120.1747,22.4756 ] ] ] } } ] }","volume":"23","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-03-23","publicationStatus":"PW","scienceBaseUri":"57f7f357e4b0bc0bec0a090d","contributors":{"authors":[{"text":"Watanabe, Hideyuki","contributorId":37266,"corporation":false,"usgs":true,"family":"Watanabe","given":"Hideyuki","email":"","affiliations":[],"preferred":false,"id":497068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tanno, Yoshiro","contributorId":106817,"corporation":false,"usgs":true,"family":"Tanno","given":"Yoshiro","email":"","affiliations":[],"preferred":false,"id":497071,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nakai, Masayoshi","contributorId":13905,"corporation":false,"usgs":true,"family":"Nakai","given":"Masayoshi","email":"","affiliations":[],"preferred":false,"id":497066,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ohshima, Takashi","contributorId":27801,"corporation":false,"usgs":true,"family":"Ohshima","given":"Takashi","email":"","affiliations":[],"preferred":false,"id":497067,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Suguichi, Akihiro","contributorId":13159,"corporation":false,"usgs":true,"family":"Suguichi","given":"Akihiro","email":"","affiliations":[],"preferred":false,"id":497065,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lee, William H.","contributorId":69569,"corporation":false,"usgs":true,"family":"Lee","given":"William","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":497069,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, Jensen","contributorId":77465,"corporation":false,"usgs":true,"family":"Wang","given":"Jensen","email":"","affiliations":[],"preferred":false,"id":497070,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70148070,"text":"70148070 - 2013 - Integration of bed characteristics, geochemical tracers, current measurements, and numerical modeling for assessing the provenance of beach sand in the San Francisco Bay Coastal System","interactions":[],"lastModifiedDate":"2020-06-09T14:39:36.762609","indexId":"70148070","displayToPublicDate":"2013-02-01T12:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Integration of bed characteristics, geochemical tracers, current measurements, and numerical modeling for assessing the provenance of beach sand in the San Francisco Bay Coastal System","docAbstract":"<p><span>Over 150</span><span>&nbsp;</span><span>million m</span><sup>3</sup><span>&nbsp;of sand-sized sediment has disappeared from the central region of the San Francisco Bay Coastal System during the last half century. This enormous loss may reflect numerous anthropogenic influences, such as watershed damming, bay-fill development, aggregate mining, and dredging. The reduction in Bay sediment also appears to be linked to a reduction in sediment supply and recent widespread erosion of adjacent beaches, wetlands, and submarine environments. A unique, multi-faceted provenance study was performed to definitively establish the primary sources, sinks, and transport pathways of beach-sized sand in the region, thereby identifying the activities and processes that directly limit supply to the outer coast. This integrative program is based on comprehensive surficial sediment sampling of the San Francisco Bay Coastal System, including the seabed, Bay floor, area beaches, adjacent rock units, and major drainages. Analyses of sample morphometrics and biological composition (e.g., Foraminifera) were then integrated with a suite of tracers including&nbsp;</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr and&nbsp;</span><sup>143</sup><span>Nd/</span><sup>144</sup><span>Nd isotopes, rare earth elements, semi-quantitative X-ray diffraction mineralogy, and heavy minerals, and with process-based numerical modeling, in situ current measurements, and bedform asymmetry to robustly determine the provenance of beach-sized sand in the region.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2012.11.008","usgsCitation":"Barnard, P., Foxgrover, A.C., Elias, E.P., Erikson, L., Hein, J.R., McGann, M., Mizell, K., Rosenbauer, R.J., Swarzenski, P.W., Takesue, R.K., Wong, F.L., and Woodrow, D., 2013, Integration of bed characteristics, geochemical tracers, current measurements, and numerical modeling for assessing the provenance of beach sand in the San Francisco Bay Coastal System: Marine Geology, v. 345, p. 181-206, https://doi.org/10.1016/j.margeo.2012.11.008.","productDescription":"26 p.","startPage":"181","endPage":"206","numberOfPages":"26","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042895","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":300550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay coastal system","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.0084228515625,\n              37.06394430056685\n            ],\n            [\n              -121.168212890625,\n              37.06394430056685\n            ],\n 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0000-0003-0638-5776 afoxgrover@usgs.gov","orcid":"https://orcid.org/0000-0003-0638-5776","contributorId":3261,"corporation":false,"usgs":true,"family":"Foxgrover","given":"Amy","email":"afoxgrover@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elias, Edwin P.L.","contributorId":47295,"corporation":false,"usgs":true,"family":"Elias","given":"Edwin","email":"","middleInitial":"P.L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":547249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":3170,"corporation":false,"usgs":true,"family":"Erikson","given":"Li H.","email":"lerikson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":547250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hein, James R. 0000-0002-5321-899X jhein@usgs.gov","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":140835,"corporation":false,"usgs":true,"family":"Hein","given":"James","email":"jhein@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547151,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGann, Mary 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":2849,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","email":"mmcgann@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":547153,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mizell, Kira 0000-0002-5066-787X kmizell@usgs.gov","orcid":"https://orcid.org/0000-0002-5066-787X","contributorId":4914,"corporation":false,"usgs":true,"family":"Mizell","given":"Kira","email":"kmizell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547251,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rosenbauer, Robert J. brosenbauer@usgs.gov","contributorId":204,"corporation":false,"usgs":true,"family":"Rosenbauer","given":"Robert","email":"brosenbauer@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547148,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547155,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Takesue, Renee K. 0000-0003-1205-0825 rtakesue@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0825","contributorId":2159,"corporation":false,"usgs":true,"family":"Takesue","given":"Renee","email":"rtakesue@usgs.gov","middleInitial":"K.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547156,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wong, Florence L. 0000-0002-3918-5896 fwong@usgs.gov","orcid":"https://orcid.org/0000-0002-3918-5896","contributorId":1990,"corporation":false,"usgs":true,"family":"Wong","given":"Florence","email":"fwong@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547150,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Woodrow, Don dwoodrow@usgs.gov","contributorId":4068,"corporation":false,"usgs":true,"family":"Woodrow","given":"Don","email":"dwoodrow@usgs.gov","affiliations":[],"preferred":true,"id":547149,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70046974,"text":"70046974 - 2013 - Regional contingencies in the relationship between aboveground Bbomass and litter in the world’s grasslands","interactions":[],"lastModifiedDate":"2013-07-12T12:47:17","indexId":"70046974","displayToPublicDate":"2013-02-01T12:39:11","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":"Regional contingencies in the relationship between aboveground Bbomass and litter in the world’s grasslands","docAbstract":"Based on regional-scale studies, aboveground production and litter decomposition are thought to positively covary, because they are driven by shared biotic and climatic factors. Until now we have been unable to test whether production and decomposition are generally coupled across climatically dissimilar regions, because we lacked replicated data collected within a single vegetation type across multiple regions, obfuscating the drivers and generality of the association between production and decomposition. Furthermore, our understanding of the relationships between production and decomposition rests heavily on separate meta-analyses of each response, because no studies have simultaneously measured production and the accumulation or decomposition of litter using consistent methods at globally relevant scales. Here, we use a multi-country grassland dataset collected using a standardized protocol to show that live plant biomass (an estimate of aboveground net primary production) and litter disappearance (represented by mass loss of aboveground litter) do not strongly covary. Live biomass and litter disappearance varied at different spatial scales. There was substantial variation in live biomass among continents, sites and plots whereas among continent differences accounted for most of the variation in litter disappearance rates. Although there were strong associations among aboveground biomass, litter disappearance and climatic factors in some regions (e.g. U.S. Great Plains), these relationships were inconsistent within and among the regions represented by this study. These results highlight the importance of replication among regions and continents when characterizing the correlations between ecosystem processes and interpreting their global-scale implications for carbon flux. We must exercise caution in parameterizing litter decomposition and aboveground production in future regional and global carbon models as their relationship is complex.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0054988","usgsCitation":"O’Halloran, L., Borer, E.T., Seabloom, E.W., MacDougall, A.S., Cleland, E., McCulley, R.L., Hobbie, S., Harpole, W.S., DeCrappeo, N.M., Chu, C., Bakker, J.D., Davies, K.F., Du, G., Firn, J., Hagenah, N., Hofmockel, K.S., Knops, J.M., Li, W., Melbourne, B.A., Morgan, J.W., Orrock, J., Prober, S.M., and Stevens, C.J., 2013, Regional contingencies in the relationship between aboveground Bbomass and litter in the world’s grasslands: PLoS ONE, v. 8, no. 2, e54988, 9 p., https://doi.org/10.1371/journal.pone.0054988.","productDescription":"e54988, 9 p.","ipdsId":"IP-044989","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":473961,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0054988","text":"Publisher Index Page"},{"id":274924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274869,"type":{"id":15,"text":"Index Page"},"url":"https://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0054988"},{"id":274923,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0054988"}],"otherGeospatial":"Earth","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,-90.0 ], [ -180.0,90.0 ], [ 180.0,90.0 ], [ 180.0,-90.0 ], [ -180.0,-90.0 ] ] ] } } ] }","volume":"8","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-02-06","publicationStatus":"PW","scienceBaseUri":"51e1256fe4b02f5cae2b73ce","contributors":{"authors":[{"text":"O’Halloran, Lydia R.","contributorId":72280,"corporation":false,"usgs":true,"family":"O’Halloran","given":"Lydia R.","affiliations":[],"preferred":false,"id":480761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Borer, Elizabeth T.","contributorId":45049,"corporation":false,"usgs":false,"family":"Borer","given":"Elizabeth","email":"","middleInitial":"T.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":480755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seabloom, Eric W.","contributorId":60762,"corporation":false,"usgs":false,"family":"Seabloom","given":"Eric","email":"","middleInitial":"W.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":480757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"MacDougall, Andrew S.","contributorId":39509,"corporation":false,"usgs":true,"family":"MacDougall","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":480754,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cleland, Elsa E.","contributorId":92790,"corporation":false,"usgs":true,"family":"Cleland","given":"Elsa E.","affiliations":[],"preferred":false,"id":480768,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCulley, Rebecca L.","contributorId":102197,"corporation":false,"usgs":true,"family":"McCulley","given":"Rebecca","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":480770,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hobbie, Sarah","contributorId":64973,"corporation":false,"usgs":true,"family":"Hobbie","given":"Sarah","affiliations":[],"preferred":false,"id":480758,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harpole, W. 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,{"id":70048207,"text":"70048207 - 2013 - The effect of coachwhip presence on body size of North American racers suggests competition between these sympatric snakes","interactions":[],"lastModifiedDate":"2013-09-17T12:39:11","indexId":"70048207","displayToPublicDate":"2013-02-01T11:55:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2515,"text":"Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"The effect of coachwhip presence on body size of North American racers suggests competition between these sympatric snakes","docAbstract":"When sympatric species compete, character divergence may help maintain coexistence. Snakes are often found in species-rich assemblages while exploiting similar resources; because snake body size is a relatively plastic trait that determines the range of prey sizes an individual may consume, divergence in body size between sympatric species may arise as a result of interspecific interactions. The North American racer, Coluber constrictor, and the larger coachwhip, Coluber flagellum, have a close taxonomic relationship and similar foraging strategies. Therefore, we hypothesized that C. constrictor would be smaller where they co-occur with C. flagellum, as compared to where C. flagellum is absent, throughout the southeastern extent of their range. To evaluate this hypothesis, we obtained data on body size for 2321 adult C. constrictor and 526 adult C. flagellum, along with habitat data and other potentially important factors influencing body size. Coluber constrictor was smaller than elsewhere when in peninsular Florida, in pine forests, on hydric soils and in the presence of the larger and potentially competing C. flagellum. Body size of C. flagellum did not vary by any measured habitat variables. The trends we documented are consistent with the hypothesis that C. constrictor body size is influenced by several variables, including co-occurrence with C. flagellum.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Zoology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1469-7998.2012.00965.x","usgsCitation":"Steen, D.A., McClure, C.J., Smith, L.L., Halstead, B., Dodd, C.K., Sutton, W.B., Lee, J.R., Baxley, D.L., Humphries, W.J., and Guyer, C., 2013, The effect of coachwhip presence on body size of North American racers suggests competition between these sympatric snakes: Journal of Zoology, v. 289, no. 2, p. 86-93, https://doi.org/10.1111/j.1469-7998.2012.00965.x.","productDescription":"8 p.","startPage":"86","endPage":"93","numberOfPages":"8","ipdsId":"IP-037421","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":277628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277606,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1469-7998.2012.00965.x"}],"country":"United States","state":"Alabama;Florida;Georgia;Louisiana;Mississippi;South Carolina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.11,24.4 ], [ -94.11,35.28 ], [ -78.43,35.28 ], [ -78.43,24.4 ], [ -94.11,24.4 ] ] ] } } ] }","volume":"289","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-11-16","publicationStatus":"PW","scienceBaseUri":"523979fce4b04b9308ae4fb5","contributors":{"authors":[{"text":"Steen, David A.","contributorId":92961,"corporation":false,"usgs":true,"family":"Steen","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":483995,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McClure, Christopher J.W.","contributorId":15103,"corporation":false,"usgs":true,"family":"McClure","given":"Christopher","email":"","middleInitial":"J.W.","affiliations":[],"preferred":false,"id":483990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Lora L.","contributorId":53684,"corporation":false,"usgs":true,"family":"Smith","given":"Lora","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":483992,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":483989,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dodd, C. 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,{"id":70118057,"text":"70118057 - 2013 - VisTrails SAHM: visualization and workflow management for species habitat modeling","interactions":[],"lastModifiedDate":"2018-09-21T11:22:56","indexId":"70118057","displayToPublicDate":"2013-02-01T11:48:13","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1446,"text":"Ecography: Pattern and Diversity in Ecology","active":true,"publicationSubtype":{"id":10}},"title":"VisTrails SAHM: visualization and workflow management for species habitat modeling","docAbstract":"The Software for Assisted Habitat Modeling (SAHM) has been created to both expedite habitat modeling and help maintain a record of the various input data, pre- and post-processing steps and modeling options incorporated in the construction of a species distribution model through the established workflow management and visualization VisTrails software. This paper provides an overview of the VisTrails:SAHM software including a link to the open source code, a table detailing the current SAHM modules, and a simple example modeling an invasive weed species in Rocky Mountain National Park, USA.","language":"English","publisher":"Wiley","doi":"10.1111/j.1600-0587.2012.07815.x","usgsCitation":"Morisette, J.T., Jarnevich, C.S., Holcombe, T.R., Talbert, C., Ignizio, D.A., Talbert, M., Silva, C., Koop, D., Swanson, A., and Young, N.E., 2013, VisTrails SAHM: visualization and workflow management for species habitat modeling: Ecography: Pattern and Diversity in Ecology, v. 36, no. 2, p. 129-135, https://doi.org/10.1111/j.1600-0587.2012.07815.x.","productDescription":"7 p.","startPage":"129","endPage":"135","numberOfPages":"7","ipdsId":"IP-037234","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":291001,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291000,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1600-0587.2012.07815.x"}],"volume":"36","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-01-25","publicationStatus":"PW","scienceBaseUri":"57f7f357e4b0bc0bec0a090f","contributors":{"authors":[{"text":"Morisette, Jeffrey T. 0000-0002-0483-0082 morisettej@usgs.gov","orcid":"https://orcid.org/0000-0002-0483-0082","contributorId":307,"corporation":false,"usgs":true,"family":"Morisette","given":"Jeffrey","email":"morisettej@usgs.gov","middleInitial":"T.","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":496200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":496201,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holcombe, Tracy R. holcombet@usgs.gov","contributorId":3694,"corporation":false,"usgs":true,"family":"Holcombe","given":"Tracy","email":"holcombet@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":496202,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Talbert, Colin B. talbertc@usgs.gov","contributorId":147948,"corporation":false,"usgs":true,"family":"Talbert","given":"Colin B.","email":"talbertc@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":496209,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ignizio, Drew A. 0000-0001-8054-5139 dignizio@usgs.gov","orcid":"https://orcid.org/0000-0001-8054-5139","contributorId":139842,"corporation":false,"usgs":true,"family":"Ignizio","given":"Drew","email":"dignizio@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":496207,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Talbert, Marian mtalbert@usgs.gov","contributorId":5180,"corporation":false,"usgs":true,"family":"Talbert","given":"Marian","email":"mtalbert@usgs.gov","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":496203,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Silva, Claudio","contributorId":48486,"corporation":false,"usgs":true,"family":"Silva","given":"Claudio","email":"","affiliations":[],"preferred":false,"id":496204,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Koop, David","contributorId":83845,"corporation":false,"usgs":true,"family":"Koop","given":"David","email":"","affiliations":[],"preferred":false,"id":496206,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Swanson, Alan","contributorId":99054,"corporation":false,"usgs":true,"family":"Swanson","given":"Alan","email":"","affiliations":[],"preferred":false,"id":496208,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Young, Nicholas E.","contributorId":58572,"corporation":false,"usgs":true,"family":"Young","given":"Nicholas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":496205,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70169894,"text":"70169894 - 2013 - Intercontinental dispersal of bacteria and archaea by transpacific winds","interactions":[],"lastModifiedDate":"2016-03-29T10:33:37","indexId":"70169894","displayToPublicDate":"2013-02-01T11:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Intercontinental dispersal of bacteria and archaea by transpacific winds","docAbstract":"<p><span>Microorganisms are abundant in the upper atmosphere, particularly downwind of arid regions, where winds can mobilize large amounts of topsoil and dust. However, the challenge of collecting samples from the upper atmosphere and reliance upon culture-based characterization methods have prevented a comprehensive understanding of globally dispersed airborne microbes. In spring 2011 at the Mt. Bachelor Observatory in North America (2.8 km above sea level), we captured enough microbial biomass in two transpacific air plumes to permit a microarray analysis using 16S rRNA genes. Thousands of distinct bacterial taxa spanning a wide range of phyla and surface environments were detected before, during, and after each Asian long-range transport event. Interestingly, the transpacific plumes delivered higher concentrations of taxa already in the background air (particularly Proteobacteria, Actinobacteria, and Firmicutes). While some bacterial families and a few marine archaea appeared for the first and only time during the plumes, the microbial community compositions were similar, despite the unique transport histories of the air masses. It seems plausible, when coupled with atmospheric modeling and chemical analysis, that microbial biogeography can be used to pinpoint the source of intercontinental dust plumes. Given the degree of richness measured in our study, the overall contribution of Asian aerosols to microbial species in North American air warrants additional investigation.</span></p>","language":"English","publisher":"American Society for Microbiology","publisherLocation":"Washington, D.C.","doi":"10.1128/AEM.03029-12","usgsCitation":"D. Smith, Timonen, H., D. Jaffe, Griffin, D.W., M. Birmele, Perry, K., Ward, P., and M. 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,{"id":70118043,"text":"70118043 - 2013 - Valuing morbidity from wildfire smoke exposure: a comparison of revealed and stated preference techniques","interactions":[],"lastModifiedDate":"2014-07-25T10:55:51","indexId":"70118043","displayToPublicDate":"2013-02-01T10:45:49","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2598,"text":"Land Economics","active":true,"publicationSubtype":{"id":10}},"title":"Valuing morbidity from wildfire smoke exposure: a comparison of revealed and stated preference techniques","docAbstract":"<p>Estimating the economic benefits of reduced health damages due to improvements in environmental quality continues to challenge economists. We review welfare measures associated with reduced wildfire smoke exposure, and a unique dataset from California’s Station Fire of 2009 allows for a comparison of cost of illness (COI) estimates with willingness to pay (WTP) measures. The WTP for one less symptom day is estimated to be $87 and $95, using the defensive behavior and contingent valuation methods, respectively. These WTP estimates are not statistically different but do differ from a $3 traditional daily COI estimate and $17 comprehensive daily COI estimate.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Land Economics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"University of Wisconsin Press","publisherLocation":"Madison, WI","usgsCitation":"Richardson, L., Loomis, J., and Champ, P.A., 2013, Valuing morbidity from wildfire smoke exposure: a comparison of revealed and stated preference techniques: Land Economics, v. 89, no. 1, p. 76-100.","productDescription":"25 p.","startPage":"76","endPage":"100","numberOfPages":"25","costCenters":[],"links":[{"id":290986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f357e4b0bc0bec0a0911","contributors":{"authors":[{"text":"Richardson, Leslie","contributorId":35584,"corporation":false,"usgs":true,"family":"Richardson","given":"Leslie","affiliations":[],"preferred":false,"id":496174,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loomis, John B.","contributorId":27560,"corporation":false,"usgs":true,"family":"Loomis","given":"John B.","affiliations":[],"preferred":false,"id":496173,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Champ, Patricia A.","contributorId":97011,"corporation":false,"usgs":true,"family":"Champ","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":496175,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043586,"text":"70043586 - 2013 - Consumption of freshwater bivalves by muskrats in the Green River, Kentucky","interactions":[],"lastModifiedDate":"2013-11-07T14:12:33","indexId":"70043586","displayToPublicDate":"2013-02-01T10:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Consumption of freshwater bivalves by muskrats in the Green River, Kentucky","docAbstract":"Muskrats (Ondatra zibethicus) are known to prey on freshwater bivalves (mussels and clams) and can negatively impact imperiled mussel species. However, factors that influence muskrat predation on bivalves are poorly understood. We evaluated the feeding ecology of muskrats in the Green River, Kentucky, by using stable isotope analysis of muskrat hair samples and by monitoring bivalve shell deposition at muskrat middens. Bayesian mixing-model analysis of stable isotope δ<sup>15</sup>N and δ<sup>13</sup>C ratios revealed that the median muskrat biomass derived from bivalves was 51.4% (5th and 95th percentiles were 39.1 to 63.4%, respectively), a much higher dietary proportion than previously reported. Shell depositions by muskrats at middens decreased with the availability of seasonal emergent vegetation, suggesting that the consumption of animal matter is in response to a scarcity of plant foods, perhaps exacerbated by the altered flow regimes on the Green River. Our results add to the growing body of evidence that muskrats have the potential to impact mussel population growth and recovery in some environments.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"American Midland Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"University of Notre Dame","doi":"10.1674/0003-0031-170.2.248","usgsCitation":"Hersey, K.A., Clark, J.D., and Layzer, J.B., 2013, Consumption of freshwater bivalves by muskrats in the Green River, Kentucky: American Midland Naturalist, v. 170, no. 2, p. 248-259, https://doi.org/10.1674/0003-0031-170.2.248.","productDescription":"12 p.","startPage":"248","endPage":"259","numberOfPages":"12","ipdsId":"IP-040714","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":278933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278930,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1674/0003-0031-170.2.248"}],"country":"United States","state":"Kentucky","otherGeospatial":"Mammoth Cave National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.267057,37.097446 ], [ -86.267057,37.270453 ], [ -86.023803,37.270453 ], [ -86.023803,37.097446 ], [ -86.267057,37.097446 ] ] ] } } ] }","volume":"170","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527cc48be4b0850ea050ce3d","contributors":{"authors":[{"text":"Hersey, Kimberly Asmus","contributorId":98619,"corporation":false,"usgs":true,"family":"Hersey","given":"Kimberly","email":"","middleInitial":"Asmus","affiliations":[],"preferred":false,"id":473901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":473900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Layzer, James B. jim_layzer@usgs.gov","contributorId":1917,"corporation":false,"usgs":true,"family":"Layzer","given":"James","email":"jim_layzer@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":473899,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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