{"pageNumber":"570","pageRowStart":"14225","pageSize":"25","recordCount":40783,"records":[{"id":70135268,"text":"70135268 - 2014 - White-nose syndrome initiates a cascade of physiologic disturbances in the hibernating bat host","interactions":[],"lastModifiedDate":"2015-01-14T10:32:47","indexId":"70135268","displayToPublicDate":"2015-01-14T10:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3845,"text":"BMC Physiology","active":true,"publicationSubtype":{"id":10}},"title":"White-nose syndrome initiates a cascade of physiologic disturbances in the hibernating bat host","docAbstract":"<h4>Background</h4>\n<p>The physiological effects of white-nose syndrome (WNS) in hibernating bats and ultimate causes of mortality from infection with<span>&nbsp;</span><i>Pseudogymnoascus</i><span>&nbsp;</span>(formerly<span>&nbsp;</span><i>Geomyces</i>)<span>&nbsp;</span><i>destructans</i><span>&nbsp;</span>are not fully understood. Increased frequency of arousal from torpor described among hibernating bats with late-stage WNS is thought to accelerate depletion of fat reserves, but the physiological mechanisms that lead to these alterations in hibernation behavior have not been elucidated. We used the doubly labeled water (DLW) method and clinical chemistry to evaluate energy use, body composition changes, and blood chemistry perturbations in hibernating little brown bats (<i>Myotis lucifugus</i>) experimentally infected with<span>&nbsp;</span><i>P. destructans</i><span>&nbsp;</span>to better understand the physiological processes that underlie mortality from WNS.</p>\n<h4>Results</h4>\n<p>These data indicated that fat energy utilization, as demonstrated by changes in body composition, was two-fold higher for bats with WNS compared to negative controls. These differences were apparent in early stages of infection when torpor-arousal patterns were equivalent between infected and non-infected animals, suggesting that<span>&nbsp;</span><i>P. destructans</i><span>&nbsp;</span>has complex physiological impacts on its host prior to onset of clinical signs indicative of late-stage infections. Additionally, bats with mild to moderate skin lesions associated with early-stage WNS demonstrated a chronic respiratory acidosis characterized by significantly elevated dissolved carbon dioxide, acidemia, and elevated bicarbonate. Potassium concentrations were also significantly higher among infected bats, but sodium, chloride, and other hydration parameters were equivalent to controls.</p>\n<h4>Conclusions</h4>\n<p>Integrating these novel findings on the physiological changes that occur in early-stage WNS with those previously documented in late-stage infections, we propose a multi-stage disease progression model that mechanistically describes the pathologic and physiologic effects underlying mortality of WNS in hibernating bats. This model identifies testable hypotheses for better understanding this disease, knowledge that will be critical for defining effective disease mitigation strategies aimed at reducing morbidity and mortality that results from WNS.</p>","language":"English","publisher":"BioMed Central Ltd.","doi":"10.1186/s12899-014-0010-4","usgsCitation":"Verant, M.L., Meteyer, C.U., Speakman, J.R., Cryan, P.M., Lorch, J.M., and Blehert, D., 2014, White-nose syndrome initiates a cascade of physiologic disturbances in the hibernating bat host: BMC Physiology, v. 14, no. 10, 10 p., https://doi.org/10.1186/s12899-014-0010-4.","productDescription":"10 p.","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055615","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":472519,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s12899-014-0010-4","text":"Publisher Index Page"},{"id":297231,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"10","noUsgsAuthors":false,"publicationDate":"2014-12-09","publicationStatus":"PW","scienceBaseUri":"54dd2ad0e4b08de9379b321e","contributors":{"authors":[{"text":"Verant, Michelle L. mverant@usgs.gov","contributorId":5566,"corporation":false,"usgs":true,"family":"Verant","given":"Michelle","email":"mverant@usgs.gov","middleInitial":"L.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":527001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meteyer, Carol U. 0000-0002-4007-3410 cmeteyer@usgs.gov","orcid":"https://orcid.org/0000-0002-4007-3410","contributorId":127748,"corporation":false,"usgs":true,"family":"Meteyer","given":"Carol","email":"cmeteyer@usgs.gov","middleInitial":"U.","affiliations":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":527002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Speakman, John R.","contributorId":127833,"corporation":false,"usgs":false,"family":"Speakman","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":7165,"text":"University of Aberdeen","active":true,"usgs":false}],"preferred":false,"id":527004,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cryan, Paul M. 0000-0002-2915-8894 cryanp@usgs.gov","orcid":"https://orcid.org/0000-0002-2915-8894","contributorId":2356,"corporation":false,"usgs":true,"family":"Cryan","given":"Paul","email":"cryanp@usgs.gov","middleInitial":"M.","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":527003,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252 jlorch@usgs.gov","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":5565,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey","email":"jlorch@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":527005,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":127747,"corporation":false,"usgs":true,"family":"Blehert","given":"David S.","email":"dblehert@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":527000,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70137249,"text":"70137249 - 2014 - Stochastic empirical loading and dilution model for analysis of flows, concentrations, and loads of highway runoff constituents","interactions":[],"lastModifiedDate":"2015-01-13T08:36:49","indexId":"70137249","displayToPublicDate":"2015-01-13T09:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3647,"text":"Transportation Research Record","active":true,"publicationSubtype":{"id":10}},"title":"Stochastic empirical loading and dilution model for analysis of flows, concentrations, and loads of highway runoff constituents","docAbstract":"<p><span>In cooperation with FHWA, the U.S. Geological Survey developed the stochastic empirical loading and dilution model (SELDM) to supersede the 1990 FHWA runoff quality model. The SELDM tool is designed to transform disparate and complex scientific data into meaningful information about the adverse risks of runoff on receiving waters, the potential need for mitigation measures, and the potential effectiveness of such measures for reducing such risks. The SELDM tool is easy to use because much of the information and data needed to run it are embedded in the model and obtained by defining the site location and five simple basin properties. Information and data from thousands of sites across the country were compiled to facilitate the use of the SELDM tool. A case study illustrates how to use the SELDM tool for conducting the types of sensitivity analyses needed to properly assess water quality risks. For example, the use of deterministic values to model upstream stormflows instead of representative variations in prestorm flow and runoff may substantially overestimate the proportion of highway runoff in downstream flows. Also, the risks for total phosphorus excursions are substantially affected by the selected criteria and the modeling methods used. For example, if a single deterministic concentration is used rather than a stochastic population of values to model upstream concentrations, then the percentage of water quality excursions in the downstream receiving waters may depend entirely on the selected upstream concentration.</span></p>","language":"English","publisher":"Transportation Research Board of the National Academies","doi":"10.3141/2436-14","usgsCitation":"Granato, G., and Jones, S.C., 2014, Stochastic empirical loading and dilution model for analysis of flows, concentrations, and loads of highway runoff constituents: Transportation Research Record, v. 2436, p. 139-147, https://doi.org/10.3141/2436-14.","productDescription":"9 p.","startPage":"139","endPage":"147","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052062","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":297148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2436","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-01","publicationStatus":"PW","scienceBaseUri":"54dd2ab8e4b08de9379b31a6","contributors":{"authors":[{"text":"Granato, Gregory E. 0000-0002-2561-9913 ggranato@usgs.gov","orcid":"https://orcid.org/0000-0002-2561-9913","contributorId":1692,"corporation":false,"usgs":true,"family":"Granato","given":"Gregory E.","email":"ggranato@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":537566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Susan C. 0000-0002-5891-5209","orcid":"https://orcid.org/0000-0002-5891-5209","contributorId":64716,"corporation":false,"usgs":false,"family":"Jones","given":"Susan","email":"","middleInitial":"C.","affiliations":[{"id":34302,"text":"Federal Highway Administration (United States)","active":true,"usgs":false}],"preferred":false,"id":537567,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70135683,"text":"ofr20131024G - 2014 - Airborne electromagnetic data and processing within Leach Lake Basin, Fort Irwin, California","interactions":[{"subject":{"id":70135683,"text":"ofr20131024G - 2014 - Airborne electromagnetic data and processing within Leach Lake Basin, Fort Irwin, California","indexId":"ofr20131024G","publicationYear":"2014","noYear":false,"chapter":"G","displayTitle":"Airborne Electromagnetic Data and Processing within Leach Lake Basin, Fort Irwin, California","title":"Airborne electromagnetic data and processing within Leach Lake Basin, Fort Irwin, California"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"id":1}],"isPartOf":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"lastModifiedDate":"2018-12-14T12:12:21","indexId":"ofr20131024G","displayToPublicDate":"2015-01-12T16:30:00","publicationYear":"2014","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":"2013-1024","chapter":"G","displayTitle":"Airborne Electromagnetic Data and Processing within Leach Lake Basin, Fort Irwin, California","title":"Airborne electromagnetic data and processing within Leach Lake Basin, Fort Irwin, California","docAbstract":"<p><span>From December 2010 to January 2011, the U.S. Geological Survey conducted airborne electromagnetic and magnetic surveys of Leach Lake Basin within the National Training Center, Fort Irwin, California. These data were collected to characterize the subsurface and provide information needed to understand and manage groundwater resources within Fort Irwin. A resistivity stratigraphy was developed using ground-based time-domain electromagnetic soundings together with laboratory resistivity measurements on hand samples and borehole geophysical logs from nearby basins. This report releases data associated with the airborne surveys, as well as resistivity cross-sections and depth slices derived from inversion of the airborne electromagnetic data. The resulting resistivity models confirm and add to the geologic framework, constrain the hydrostratigraphy and the depth to basement, and reveal the distribution of faults and folds within the basin.</span></p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131024G","collaboration":"Prepared in cooperation with the U.S. Army, Fort Irwin National Training Center","usgsCitation":"Bedrosian, P.A., Ball, L.B., and Bloss, B.R., 2014, Airborne electromagnetic data and processing within Leach Lake Basin, Fort Irwin, California, chap. G <i>of</i> Buesch, D.C., ed., Geology and geophysics applied to groundwater hydrology at Fort Irwin, California: U.S. Geological Survey Open File Report 2013–1024, 20 p., \nhttps://doi.org/10.3133/ofr20131024G.","productDescription":"Report: vi, 20 p.; 2 Appendixes","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-059815","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":297138,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1024/g/downloads/OFR2013-1024-G.pdf","text":"Report","size":"16.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":297139,"rank":2,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1024/g/downloads/ofr2013-1024-g_appendix_a.pdf","text":"Appendix A","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":297141,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2013/1024/g/images/coverthb.jpg"},{"id":297140,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1024/g/downloads/ofr2014-2014-g_appendix_b.zip","text":"Appendix B","size":"1.9 GB","linkFileType":{"id":6,"text":"zip"}}],"country":"United States","state":"California","county":"San Bernardino County","city":"Fort Irwin","contact":"<p><a href=\"https://geomaps.wr.usgs.gov/gmeg/staff.htm\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://geomaps.wr.usgs.gov/gmeg/staff.htm\">Contact Information</a>,<br><a href=\"https://geomaps.wr.usgs.gov/gmeg/index.htm\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://geomaps.wr.usgs.gov/gmeg/index.htm\">Geology, Minerals, Energy, &amp; Geophysics Science Center</a>—Menlo Park<br><a href=\"https://usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>345 Middlefield Road<br>Menlo Park, CA 94025-3591</p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2014-01-06","noUsgsAuthors":false,"publicationDate":"2014-01-06","publicationStatus":"PW","scienceBaseUri":"54dd2a51e4b08de9379b2fde","contributors":{"editors":[{"text":"Buesch, David C. 0000-0002-4978-5027 dbuesch@usgs.gov","orcid":"https://orcid.org/0000-0002-4978-5027","contributorId":1154,"corporation":false,"usgs":true,"family":"Buesch","given":"David","email":"dbuesch@usgs.gov","middleInitial":"C.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":737454,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":538079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":538080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bloss, Benjamin R. bbloss@usgs.gov","contributorId":4821,"corporation":false,"usgs":true,"family":"Bloss","given":"Benjamin","email":"bbloss@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":538081,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70134835,"text":"ds904 - 2014 - High-resolution digital elevation model of Mount St. Helens crater and upper North Fork Toutle River basin, Washington, based on an airborne lidar survey of September 2009","interactions":[],"lastModifiedDate":"2019-03-13T08:31:18","indexId":"ds904","displayToPublicDate":"2015-01-09T12:30:00","publicationYear":"2014","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":"904","title":"High-resolution digital elevation model of Mount St. Helens crater and upper North Fork Toutle River basin, Washington, based on an airborne lidar survey of September 2009","docAbstract":"<p><span>The lateral blast, debris avalanche, and lahars of the May 18th, 1980, eruption of Mount St. Helens, Washington, dramatically altered the surrounding landscape. Lava domes were extruded during the subsequent eruptive periods of 1980&ndash;1986 and 2004&ndash;2008. More than three decades after the emplacement of the 1980 debris avalanche, high sediment production persists in the North Fork Toutle River basin, which drains the northern flank of the volcano. Because this sediment increases the risk of flooding to downstream communities on the Toutle and Cowlitz Rivers, the U.S. Army Corps of Engineers (USACE), under the direction of Congress to maintain an authorized level of flood protection, built a sediment retention structure on the North Fork Toutle River in 1989 to help reduce this risk and to prevent sediment from clogging the shipping channel of the Columbia River. From September 16&ndash;20, 2009, Watershed Sciences, Inc., under contract to USACE, collected high-precision airborne lidar (light detection and ranging) data that cover 214 square kilometers (83 square miles) of Mount St. Helens and the upper North Fork Toutle River basin from the sediment retention structure to the volcano's crater. These data provide a digital dataset of the ground surface, including beneath forest cover. Such remotely sensed data can be used to develop sediment budgets and models of sediment erosion, transport, and deposition. The U.S. Geological Survey (USGS) used these lidar data to develop digital elevation models (DEMs) of the study area. DEMs are fundamental to monitoring natural hazards and studying volcanic landforms, fluvial and glacial geomorphology, and surface geology. Watershed Sciences, Inc., provided files in the LASer (LAS) format containing laser returns that had been filtered, classified, and georeferenced. The USGS produced a hydro-flattened DEM from ground-classified points at Castle, Coldwater, and Spirit Lakes. Final results averaged about five laser last-return points per square meter. As reported by Watershed Sciences, Inc., vertical accuracy is 10 centimeters (cm) at the 95-percent confidence interval on bare road surfaces; however, over natural terrain, USGS found vertical accuracy to be 10&ndash;50 cm. This USGS data series contains the bare-earth lidar data as 1- and 10-meter (m) resolution Esri grid files. Digital-elevation data can be downloaded (1m_DEM.zip and 10m_DEM.zip), as well as a 1-m resolution hillshade image with pyramids (1m_hillshade.zip). These geospatial data files require geographic information system (GIS) software for viewing.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds904","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Mosbrucker, A.R., 2014, High-resolution digital elevation model of Mount St. Helens crater and upper North Fork Toutle River basin, Washington, based on an airborne lidar survey of September 2009: U.S. Geological Survey Data Series 904, Report: 24 p.; Readme; 1m DEM data; 10m DEM data; 1m hillshade image; Metadata, https://doi.org/10.3133/ds904.","productDescription":"Report: 24 p.; Readme; 1m DEM data; 10m DEM data; 1m hillshade image; Metadata","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-050820","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":297105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds904.gif"},{"id":297098,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0904/"},{"id":297099,"rank":2,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/ds/0904/1_readme.txt","size":"5 kB","linkFileType":{"id":2,"text":"txt"},"linkHelpText":"Report by Watershed Sciences, Inc., under contract to USACE, on high-precision airbone lidar data collected September 16–20, 2009"},{"id":297100,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0904/downloads/ds904_delivery_report.pdf","text":"Delivery Report","size":"13.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297103,"rank":6,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0904/downloads/1m_hillshade.zip","text":"1m hillshade","size":"211 MB","linkHelpText":"1-m resolution hillshade image with pyramids. Refer to the Readme and Metadata files for more information."},{"id":297104,"rank":7,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/0904/FGDC_Metadata.txt","size":"211 MB","linkFileType":{"id":2,"text":"txt"}},{"id":297101,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0904/downloads/1m_DEM.zip","text":"1m DEM","size":"572 MB","description":"Digital-elevation data","linkHelpText":"Digital-elevation data using bare-earth lidar data as 1-m resolution Esri grid files. Refer to the Readme and Metadata files for more information."},{"id":297102,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0904/downloads/10m_DEM.zip","text":"10m DEM","size":"7.2 MB","description":"Digital-elevation data","linkHelpText":"Digital-elevation data using bare-earth lidar data as 10-m resolution Esri grid files. Refer to the Readme and Metadata files for more information"}],"country":"United States","state":"Washington","otherGeospatial":"Mount St. Helens, upper North Fork Toutle River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.58132934570311,\n              46.13702492883557\n            ],\n            [\n              -122.58132934570311,\n              46.38293856752681\n            ],\n            [\n              -122.0855712890625,\n              46.38293856752681\n            ],\n            [\n              -122.0855712890625,\n              46.13702492883557\n            ],\n            [\n              -122.58132934570311,\n              46.13702492883557\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a85e4b08de9379b30c6","contributors":{"authors":[{"text":"Mosbrucker, Adam R. 0000-0003-0298-0324 amosbrucker@usgs.gov","orcid":"https://orcid.org/0000-0003-0298-0324","contributorId":4968,"corporation":false,"usgs":true,"family":"Mosbrucker","given":"Adam","email":"amosbrucker@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":537964,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70135353,"text":"70135353 - 2014 - Optimization in the utility maximization framework for conservation planning: a comparison of solution procedures in a study of multifunctional agriculture","interactions":[],"lastModifiedDate":"2015-01-08T13:50:25","indexId":"70135353","displayToPublicDate":"2015-01-08T13:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"title":"Optimization in the utility maximization framework for conservation planning: a comparison of solution procedures in a study of multifunctional agriculture","docAbstract":"<p><span>Quantitative methods of spatial conservation prioritization have traditionally been applied to issues in conservation biology and reserve design, though their use in other types of natural resource management is growing. The utility maximization problem is one form of a covering problem where multiple criteria can represent the expected social benefits of conservation action. This approach allows flexibility with a problem formulation that is more general than typical reserve design problems, though the solution methods are very similar. However, few studies have addressed optimization in utility maximization problems for conservation planning, and the effect of solution procedure is largely unquantified. Therefore, this study mapped five criteria describing elements of multifunctional agriculture to determine a hypothetical conservation resource allocation plan for agricultural land conservation in the Central Valley of CA, USA. We compared solution procedures within the utility maximization framework to determine the difference between an open source integer programming approach and a greedy heuristic, and find gains from optimization of up to 12%. We also model land availability for conservation action as a stochastic process and determine the decline in total utility compared to the globally optimal set using both solution algorithms. Our results are comparable to other studies illustrating the benefits of optimization for different conservation planning problems, and highlight the importance of maximizing the effectiveness of limited funding for conservation and natural resource management.</span></p>","language":"English","publisher":"PeerJ Inc.","publisherLocation":"Corte Madera, CA","doi":"10.7717/peerj.690","usgsCitation":"Kreitler, J.R., Stoms, D.M., and Davis, F., 2014, Optimization in the utility maximization framework for conservation planning: a comparison of solution procedures in a study of multifunctional agriculture: PeerJ, v. 2, 19 p.; e690, https://doi.org/10.7717/peerj.690.","productDescription":"19 p.; e690","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-043247","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":472520,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.690","text":"Publisher Index Page"},{"id":297088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.8878173828125,\n              37.43125050179356\n            ],\n            [\n              -121.8878173828125,\n              38.75408327579141\n            ],\n            [\n              -120.86334228515624,\n              38.75408327579141\n            ],\n            [\n              -120.86334228515624,\n              37.43125050179356\n            ],\n            [\n              -121.8878173828125,\n              37.43125050179356\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2","noUsgsAuthors":false,"publicationDate":"2014-12-11","publicationStatus":"PW","scienceBaseUri":"54dd2a9fe4b08de9379b3146","contributors":{"authors":[{"text":"Kreitler, Jason R. 0000-0002-0243-5281 jkreitler@usgs.gov","orcid":"https://orcid.org/0000-0002-0243-5281","contributorId":4050,"corporation":false,"usgs":true,"family":"Kreitler","given":"Jason","email":"jkreitler@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":527102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stoms, David M.","contributorId":127848,"corporation":false,"usgs":false,"family":"Stoms","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":7167,"text":"California Energy Commission, previously UCSB","active":true,"usgs":false}],"preferred":false,"id":527103,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Davis, Frank W.","contributorId":127849,"corporation":false,"usgs":false,"family":"Davis","given":"Frank W.","affiliations":[{"id":7168,"text":"UCSB","active":true,"usgs":false}],"preferred":false,"id":527104,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70137397,"text":"70137397 - 2014 - A data reconnaissance on the effect of suspended-sediment concentrations on dissolved-solids concentrations in rivers and tributaries in the Upper Colorado River Basin","interactions":[],"lastModifiedDate":"2020-12-10T13:26:46.541317","indexId":"70137397","displayToPublicDate":"2015-01-08T09:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"A data reconnaissance on the effect of suspended-sediment concentrations on dissolved-solids concentrations in rivers and tributaries in the Upper Colorado River Basin","docAbstract":"<p><span>The Colorado River is one of the most important sources of water in the western United States, supplying water to over 35 million people in the U.S. and 3 million people in Mexico. High dissolved-solids loading to the River and tributaries are derived primarily from geologic material deposited in inland seas in the mid-to-late Cretaceous Period, but this loading may be increased by human activities. High dissolved solids in the River causes substantial damages to users, primarily in reduced agricultural crop yields and corrosion. The Colorado River Basin Salinity Control Program was created to manage dissolved-solids loading to the River and has focused primarily on reducing irrigation-related loading from agricultural areas. This work presents a reconnaissance of existing data from sites in the Upper Colorado River Basin (UCRB) in order to highlight areas where suspended-sediment control measures may be useful in reducing dissolved-solids concentrations. Multiple linear regression was used on data from 164 sites in the UCRB to develop dissolved-solids models that include combinations of explanatory variables of suspended sediment, flow, and time. Results from the partial&nbsp;</span><i>t</i><span>-test, overall likelihood ratio, and partial likelihood ratio on the models were used to group the sites into categories of strong, moderate, weak, and no-evidence of a relation between suspended-sediment and dissolved-solids concentrations. Results show 68 sites have strong or moderate evidence of a relation, with drainage areas for many of these sites composed of a large percentage of clastic sedimentary rocks. These results could assist water managers in the region in directing field-scale evaluation of suspended-sediment control measures to reduce UCRB dissolved-solids loading.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2014.08.020","usgsCitation":"Tillman, F., and Anning, D.W., 2014, A data reconnaissance on the effect of suspended-sediment concentrations on dissolved-solids concentrations in rivers and tributaries in the Upper Colorado River Basin: Journal of Hydrology, v. 519, no. Part A, p. 1020-1030, https://doi.org/10.1016/j.jhydrol.2014.08.020.","productDescription":"11 p.","startPage":"1020","endPage":"1030","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051914","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":297066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.9951171875,\n              43.723474896114794\n            ],\n            [\n              -109.92919921875,\n              43.51668853502909\n            ],\n        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dwanning@usgs.gov","contributorId":432,"corporation":false,"usgs":true,"family":"Anning","given":"David","email":"dwanning@usgs.gov","middleInitial":"W.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537808,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70140269,"text":"70140269 - 2014 - From hybrid swarms to swarms of hybrids","interactions":[],"lastModifiedDate":"2018-01-02T20:40:32","indexId":"70140269","displayToPublicDate":"2015-01-01T17:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3866,"text":"Environment and Ecology Research","active":true,"publicationSubtype":{"id":10}},"title":"From hybrid swarms to swarms of hybrids","docAbstract":"<p>Science has shown that the introgression or hybridization of modern humans (<i>Homo sapiens</i>) with Neanderthals up to 40,000 YBP may have led to the swarm of modern humans on earth. However, there is little doubt that modern trade and transportation in support of the humans has continued to introduce additional species, genotypes, and hybrids to every country on the globe. We assessed the utility of species distributions modeling of genotypes to assess the risk of current and future invaders. We evaluated 93 locations of the genus <i>Tamarix</i> for which genetic data were available. Maxent models of habitat suitability showed that the hybrid, <i>T. ramosissima</i> x <i>T. chinensis</i>, was slightly greater than the parent taxa (AUCs &gt; 0.83). General linear models of Africanized honey bees, a hybrid cross of Tanzanian <i>Apis mellifera scutellata</i> and a variety of European honey bee including <i>A. m. ligustica</i>, showed that the Africanized bees (AUC = 0.81) may be displacing European honey bees (AUC &gt; 0.76) over large areas of the southwestern U.S. More important, Maxent modeling of sub-populations (A1 and A26 mitotypes based on mDNA) could be accurately modeled (AUC &gt; 0.9), and they responded differently to environmental drivers. This suggests that rapid evolutionary change may be underway in the Africanized bees, allowing the bees to spread into new areas and extending their total range. Protecting native species and ecosystems may benefit from risk maps of harmful invasive species, hybrids, and genotypes.</p>","language":"English","publisher":"Horizon Research Publishing","publisherLocation":"Alhambra, CA","doi":"10.13189/eer.2014.020804","usgsCitation":"Stohlgren, T.J., Szalanski, A.L., Gaskin, J.F., Young, N.E., West, A., Jarnevich, C.S., and Tripodi, A., 2014, From hybrid swarms to swarms of hybrids: Environment and Ecology Research, v. 2, no. 8, p. 311-318, https://doi.org/10.13189/eer.2014.020804.","productDescription":"8 p.","startPage":"311","endPage":"318","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055483","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":472523,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.13189/eer.2014.020804","text":"Publisher Index Page"},{"id":298653,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"2","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5509502fe4b02e76d757e61d","contributors":{"authors":[{"text":"Stohlgren, Thomas J. 0000-0001-9696-4450 stohlgrent@usgs.gov","orcid":"https://orcid.org/0000-0001-9696-4450","contributorId":2902,"corporation":false,"usgs":true,"family":"Stohlgren","given":"Thomas","email":"stohlgrent@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":539898,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Szalanski, Allen L.","contributorId":139057,"corporation":false,"usgs":false,"family":"Szalanski","given":"Allen","email":"","middleInitial":"L.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":539899,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gaskin, John F.","contributorId":39307,"corporation":false,"usgs":true,"family":"Gaskin","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":539900,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Nicholas E.","contributorId":58572,"corporation":false,"usgs":true,"family":"Young","given":"Nicholas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":539901,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"West, Amanda M.","contributorId":139058,"corporation":false,"usgs":false,"family":"West","given":"Amanda M.","affiliations":[{"id":6737,"text":"Colorado State University, Department of Ecosystem Science and Sustainability, and Natural Resource Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":539902,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":539897,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tripodi, Amber","contributorId":139059,"corporation":false,"usgs":false,"family":"Tripodi","given":"Amber","email":"","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":539903,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70154892,"text":"70154892 - 2014 - GIS-based rapid-assessment of bighead carp Hypophthalmichthys nobilis (Richardson, 1845) suitability in reservoirs","interactions":[],"lastModifiedDate":"2015-07-15T13:37:10","indexId":"70154892","displayToPublicDate":"2015-01-01T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"GIS-based rapid-assessment of bighead carp Hypophthalmichthys nobilis (Richardson, 1845) suitability in reservoirs","docAbstract":"<p>Broad-scale niche models are good for examining the potential for invasive species occurrences, but can fall short in providing managers with site-specific locations for monitoring. Using Oklahoma as an example, where invasive bighead carp (Hypophthalmichthys nobilis) are established in certain reservoirs, but predicted to be widely distributed based on broad-scale niche models, we cast bighead carp reproductive ecology in a site-specific geospatial framework to determine their potential establishment in additional reservoirs. Because bighead carp require large, long free-flowing rivers with suitable hydrology for reproduction but can persist in reservoirs, we considered reservoir tributaries with mean annual daily discharge &ge;8.5 cubic meters per second (m3 /s) and quantified the length of their unimpeded portions. In contrast to published broad-scale niche models that identified nearly the entire state as susceptible to invasion, our site-specific models showed that few reservoirs in Oklahoma (N = 9) were suitable for bighead carp establishment. Moreover, this method was rapid and identified sites that could be prioritized for increased study or scrutiny. Our results highlight the importance of considering the environmental characteristics of individual sites, which is often the level at which management efforts are implemented when assessing susceptibility to invasion.</p>","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre","publisherLocation":"Helsinki","doi":"10.3391/mbi.2014.5.4.07","usgsCitation":"Long, J.M., Liang, Y., Shoup, D.E., Dzialowski, A.R., and Bidwell, J.R., 2014, GIS-based rapid-assessment of bighead carp Hypophthalmichthys nobilis (Richardson, 1845) suitability in reservoirs: Management of Biological Invasions, v. 5, no. 4, p. 363-370, https://doi.org/10.3391/mbi.2014.5.4.07.","productDescription":"8 p.","startPage":"363","endPage":"370","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037998","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":472524,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2014.5.4.07","text":"Publisher Index Page"},{"id":305763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.48791503906249,\n              33.61461929233378\n            ],\n            [\n              -95.2020263671875,\n              33.94335994657882\n            ],\n            [\n              -96.361083984375,\n              33.67406853374198\n            ],\n            [\n              -96.932373046875,\n              33.88865750124075\n            ],\n            [\n              -97.119140625,\n              33.701492795584365\n            ],\n            [\n              -97.9705810546875,\n              33.87953701355924\n            ],\n            [\n              -98.1683349609375,\n              34.098159345215535\n            ],\n            [\n              -98.8165283203125,\n              34.116352469972746\n            ],\n            [\n              -99.1900634765625,\n              34.1890858311724\n            ],\n            [\n              -99.33837890625,\n              34.420504880133834\n            ],\n            [\n              -99.68994140625,\n              34.35250666867596\n            ],\n            [\n              -100.0250244140625,\n              34.551811369170494\n            ],\n            [\n              -100.03051757812499,\n              36.48314061639213\n            ],\n            [\n              -103.062744140625,\n              36.47872381162464\n            ],\n            [\n              -103.0517578125,\n              38.51378825951165\n            ],\n            [\n              -94.6142578125,\n              38.556757147352215\n            ],\n            [\n              -94.6142578125,\n              36.474306755095206\n            ],\n            [\n              -94.41650390625,\n              35.348735749472546\n            ],\n            [\n              -94.48791503906249,\n              33.61461929233378\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"5","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55a78438e4b0183d66e45e8a","contributors":{"authors":[{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liang, Yu","contributorId":145642,"corporation":false,"usgs":false,"family":"Liang","given":"Yu","affiliations":[],"preferred":false,"id":564868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shoup, Daniel E.","contributorId":141325,"corporation":false,"usgs":false,"family":"Shoup","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":564869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dzialowski, Andrew R.","contributorId":145641,"corporation":false,"usgs":false,"family":"Dzialowski","given":"Andrew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":564870,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bidwell, Joseph R.","contributorId":105122,"corporation":false,"usgs":true,"family":"Bidwell","given":"Joseph","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":564871,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70155812,"text":"70155812 - 2014 - Productivity and carbon dioxide exchange of leguminous crops: estimates from flux tower measurements","interactions":[],"lastModifiedDate":"2017-01-18T11:21:43","indexId":"70155812","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":684,"text":"Agronomy Journal","active":true,"publicationSubtype":{"id":10}},"title":"Productivity and carbon dioxide exchange of leguminous crops: estimates from flux tower measurements","docAbstract":"<p><span>Net CO</span><sub>2</sub><span>&nbsp;exchange data of legume crops at 17 flux tower sites in North America and three sites in Europe representing 29 site-years of measurements were partitioned into gross photosynthesis and ecosystem respiration by using the nonrectangular hyperbolic light-response function method. The analyses produced net CO</span><sub>2</sub><span>&nbsp;exchange data and new ecosystem-scale ecophysiological parameter estimates for legume crops determined at diurnal and weekly time steps. Dynamics and annual totals of gross photosynthesis, ecosystem respiration, and net ecosystem production were calculated by gap filling with multivariate nonlinear regression. Comparison with the data from grain crops obtained with the same method demonstrated that CO</span><sub>2</sub><span>&nbsp;exchange rates and ecophysiological parameters of legumes were lower than those of maize (</span><i>Zea mays</i><span>&nbsp;L.) but higher than for wheat (</span><i>Triticum aestivum</i><span>&nbsp;L.) crops. Year-round annual legume crops demonstrated a broad range of net ecosystem production, from sinks of 760 g CO</span><sub>2</sub><span>&nbsp;m</span><sup>&ndash;2</sup><span>&nbsp;yr</span><sup>&ndash;1</sup><span>&nbsp;to sources of &ndash;2100 g CO</span><sub>2</sub><span>&nbsp;m</span><sup>&ndash;2</sup><span>&nbsp;yr</span><sup>&ndash;1</sup><span>, with an average of &ndash;330 g CO</span><sub>2</sub><span>&nbsp;m</span><sup>&ndash;2</sup><span>&nbsp;yr</span><sup>&ndash;1</sup><span>, indicating overall moderate CO</span><sub>2</sub><span>&ndash;source activity related to a shorter period of photosynthetic uptake and metabolic costs of N</span><sub>2</sub><span>&nbsp;fixation. Perennial legumes (alfalfa,&nbsp;</span><i>Medicago sativa</i><span>&nbsp;L.) were strong sinks for atmospheric CO</span><sub>2</sub><span>, with an average net ecosystem production of 980 (range 550&ndash;1200) g CO</span><sub>2</sub><span>&nbsp;m</span><sup>&ndash;2</sup><span>&nbsp;yr</span><sup>&ndash;1</sup><span>.</span></p>","language":"English","publisher":"American Society of Agronomy","publisherLocation":"Madison, WI","doi":"10.2134/agronj2013.0270","usgsCitation":"Gilmanov, T.G., Baker, J.M., Bernacchi, C.J., Billesbach, D.P., Burba, G.G., Castro, S., Chen, J., Eugster, W., Fischer, M.L., Gamon, J.A., Gebremedhin, M.T., Glenn, A.J., Griffis, T.J., Hatfield, J.L., Heuer, M.W., Howard, D., Leclerc, M.Y., Loescher, H.W., Marloie, O., Meyers, T.P., Olioso, A., Phillips, R.L., Prueger, J.H., Skinner, R.H., Suyker, A.E., Tenuta, M., and Wylie, B.K., 2014, Productivity and carbon dioxide exchange of leguminous crops: estimates from flux tower measurements: Agronomy Journal, v. 106, no. 2, p. 545-559, https://doi.org/10.2134/agronj2013.0270.","productDescription":"15 p.","startPage":"545","endPage":"559","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045818","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":306638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.76904296874999,\n              30.35391637229704\n            ],\n            [\n              -82.19970703125,\n              29.66896252599253\n            ],\n            [\n              -81.5185546875,\n              32.47269502206151\n        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Canada","active":true,"usgs":false}],"preferred":false,"id":566432,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gebremedhin, Maheteme T.","contributorId":146130,"corporation":false,"usgs":false,"family":"Gebremedhin","given":"Maheteme","email":"","middleInitial":"T.","affiliations":[{"id":16591,"text":"Science and Engineering Alliance Inc","active":true,"usgs":false}],"preferred":false,"id":566433,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Glenn, Aaron J.","contributorId":51178,"corporation":false,"usgs":true,"family":"Glenn","given":"Aaron","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":566434,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Griffis, Timothy J.","contributorId":146132,"corporation":false,"usgs":false,"family":"Griffis","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":6915,"text":"University of Minnesota - 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,{"id":70155071,"text":"70155071 - 2014 - Effects of satellite transmitters on captive and wild mallards","interactions":[],"lastModifiedDate":"2015-08-05T12:50:18","indexId":"70155071","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Effects of satellite transmitters on captive and wild mallards","docAbstract":"<p><span>Satellite telemetry has become a leading method for studying large-scale movements and survival in birds, yet few have addressed potential effects of the larger and heavier tracking equipment on study subjects. We simultaneously evaluated effects of satellite telemetry equipment on captive and wild mallards (</span><i>Anas platyrhynchos</i><span>) to assess impacts on behavior, body mass, and movement. We randomly assigned 55 captive ducks to one of 3 treatment groups, including a standard body harness group, a modified harness group, and a control group. Ducks in the control group were not fitted with equipment, whereas individuals in the other 2 groups were fitted with dummy transmitters attached with a Teflon ribbon harness or with a similar harness constructed of nylon cord. At the conclusion of the 14-week captive study, mean body mass of birds in the control group was 40&ndash;105&thinsp;g (95% CI) greater than birds with standard harnesses, and 28&ndash;99&thinsp;g (95% CI) greater than birds with modified harnesses. Further, results of focal behavior observations indicated ducks with transmitters were less likely to be in water than control birds. We also tested whether movements of wild birds marked with a similar Teflon harness satellite transmitter aligned with population movements reported by on-the-ground observers who indexed local abundances of mid-continent mallards throughout the non-breeding period. Results indicated birds marked with satellite transmitters moved concurrently with the larger unmarked population. Our results have broad implications for field research and suggest that investigators should consider potential for physiological and behavioral effects brought about by tracking equipment. Nonetheless, results from wild ducks indicate satellite telemetry has the potential to provide useful movement data.</span></p>","language":"English","publisher":"The Wildlife Society","publisherLocation":"Bethesda, MD","doi":"10.1002/wsb.437","usgsCitation":"Kesler, D.C., Raedeke, A.H., Foggia, J.R., Beatty, W.S., Webb, E.B., Humburg, D.D., and Naylor, L.W., 2014, Effects of satellite transmitters on captive and wild mallards: Wildlife Society Bulletin, v. 38, no. 3, p. 557-565, https://doi.org/10.1002/wsb.437.","productDescription":"9 p.","startPage":"557","endPage":"565","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2010-07-29","temporalEnd":"2010-12-15","ipdsId":"IP-046213","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":499896,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/279f09d07e584f4dbb5cc48de0afff3a","text":"External 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H.","contributorId":94083,"corporation":false,"usgs":true,"family":"Raedeke","given":"Andrew","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":567362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foggia, Jennifer R.","contributorId":146302,"corporation":false,"usgs":false,"family":"Foggia","given":"Jennifer","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":567363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beatty, William S. 0000-0003-0013-3113","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":146301,"corporation":false,"usgs":false,"family":"Beatty","given":"William","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":567364,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 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,{"id":70164519,"text":"70164519 - 2014 - Magnetic storms and induction hazards","interactions":[],"lastModifiedDate":"2016-02-10T13:07:07","indexId":"70164519","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3879,"text":"Eos, Earth and Space Science News","active":true,"publicationSubtype":{"id":10}},"title":"Magnetic storms and induction hazards","docAbstract":"<p><span>Magnetic storms are potentially hazardous to the activities and technological infrastructure of modern civilization. This reality was dramatically demonstrated during the great magnetic storm of March 1989, when surface geoelectric fields, produced by the interaction of the time-varying geomagnetic field with the Earth's electrically conducting interior, coupled onto the overlying Hydro-Qu&eacute;bec electric power grid in Canada. Protective relays were tripped, the grid collapsed, and about 9 million people were temporarily left without electricity [</span><i>Bolduc</i><span>, 2002].</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2014EO480001","usgsCitation":"Love, J.J., Rigler, E.J., Pulkkinen, A., and Balch, C., 2014, Magnetic storms and induction hazards: Eos, Earth and Space Science News, v. 95, no. 48, p. 445-446, https://doi.org/10.1002/2014EO480001.","productDescription":"2 p.","startPage":"445","endPage":"446","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059807","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":472535,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014eo480001","text":"Publisher Index Page"},{"id":317920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","issue":"48","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-02","publicationStatus":"PW","scienceBaseUri":"56bc6d45e4b08d617f666290","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":597714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rigler, E. Joshua 0000-0003-4850-3953 erigler@usgs.gov","orcid":"https://orcid.org/0000-0003-4850-3953","contributorId":4367,"corporation":false,"usgs":true,"family":"Rigler","given":"E.","email":"erigler@usgs.gov","middleInitial":"Joshua","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":597715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pulkkinen, Antti","contributorId":145703,"corporation":false,"usgs":false,"family":"Pulkkinen","given":"Antti","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":597716,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Balch, Christopher","contributorId":156386,"corporation":false,"usgs":false,"family":"Balch","given":"Christopher","affiliations":[{"id":20337,"text":"NOAA Space Weather Prediciton Center","active":true,"usgs":false}],"preferred":false,"id":597717,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70158996,"text":"70158996 - 2014 - Mercury and methylmercury stream concentrations in a Coastal Plain watershed: A multi-scale simulation analysis","interactions":[],"lastModifiedDate":"2018-09-14T15:47:55","indexId":"70158996","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Mercury and methylmercury stream concentrations in a Coastal Plain watershed: A multi-scale simulation analysis","docAbstract":"<p>Mercury is a ubiquitous global environmental toxicant responsible for most US fish advisories. Processes governing mercury concentrations in rivers and streams are not well understood, particularly at multiple spatial scales. We investigate how insights gained from reach-scale mercury data and model simulations can be applied at broader watershed scales using a spatially and temporally explicit watershed hydrology and biogeochemical cycling model, VELMA. We simulate fate and transport using reach-scale (0.1 km2) study data and evaluate applications to multiple watershed scales. Reach-scale VELMA parameterization was applied to two nested sub-watersheds (28 km2 and 25 km2) and the encompassing watershed (79 km2). Results demonstrate that simulated flow and total mercury concentrations compare reasonably to observations at different scales, but simulated methylmercury concentrations are out-of-phase with observations. These findings suggest that intricacies of methylmercury biogeochemical cycling and transport are under-represented in VELMA and underscore the complexity of simulating mercury fate and transport.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2013.12.026","usgsCitation":"Knightes, C.D., Golden, H., Journey, C.A., Davis, G.M., Conrads, P., Marvin-DiPasquale, M., Brigham, M.E., and Bradley, P.M., 2014, Mercury and methylmercury stream concentrations in a Coastal Plain watershed: A multi-scale simulation analysis: Environmental Pollution, v. 187, p. 182-192, https://doi.org/10.1016/j.envpol.2013.12.026.","productDescription":"1 p.","startPage":"182","endPage":"192","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063377","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":309838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"McTier Creek Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.60507202148438,\n              33.75060604160645\n            ],\n            [\n              -81.60507202148438,\n              33.821370991333076\n            ],\n            [\n              -81.51168823242188,\n              33.821370991333076\n            ],\n            [\n              -81.51168823242188,\n              33.75060604160645\n            ],\n            [\n              -81.60507202148438,\n              33.75060604160645\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"187","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"561e2b37e4b0cdb063e59cdf","contributors":{"authors":[{"text":"Knightes, Christopher D.","contributorId":32666,"corporation":false,"usgs":true,"family":"Knightes","given":"Christopher","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":577194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Golden, Heather E.","contributorId":94914,"corporation":false,"usgs":true,"family":"Golden","given":"Heather E.","affiliations":[],"preferred":false,"id":577195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":577196,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Gary M.","contributorId":12741,"corporation":false,"usgs":true,"family":"Davis","given":"Gary","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":577197,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":577198,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marvin-DiPasquale, Mark 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":149175,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - 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,{"id":70170254,"text":"70170254 - 2014 - A depth-averaged debris-flow model that includes the effects of evolving dilatancy: II. Numerical predictions and experimental tests.","interactions":[],"lastModifiedDate":"2019-03-06T08:02:34","indexId":"70170254","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3878,"text":"Proceedings of the Royal Society A","active":true,"publicationSubtype":{"id":10}},"title":"A depth-averaged debris-flow model that includes the effects of evolving dilatancy: II. Numerical predictions and experimental tests.","docAbstract":"<p>We evaluate a new depth-averaged mathematical model that is designed to simulate all stages of debris-flow motion, from initiation to deposition. A companion paper shows how the model&rsquo;s five governing equations describe simultaneous evolution of flow thickness, solid volume fraction, basal pore-fluid pressure, and two components of flow momentum. Each equation contains a source term that represents the influence of state-dependent granular dilatancy. Here we recapitulate the equations and analyze their eigenstructure to show that they form a hyperbolic system with desirable stability properties. To solve the equations we use a shock-capturing numerical scheme with adaptive mesh refinement, implemented in an open-source software package we call D-Claw. As tests of D-Claw, we compare model output with results from two sets of large-scale debris-flow experiments. One set focuses on flow initiation from landslides triggered by rising pore-water pressures, and the other focuses on downstream flow dynamics, runout, and deposition. D-Claw performs well in predicting evolution of flow speeds, thicknesses, and basal pore-fluid pressures measured in each type of experiment. Computational results illustrate the critical role of dilatancy in linking coevolution of the solid volume fraction and pore-fluid pressure, which mediates basal Coulomb friction and thereby regulates debris-flow dynamics.</p>","language":"English","publisher":"The Royal Society","publisherLocation":"London, England","doi":"10.1098/rspa.2013.0820","usgsCitation":"George, D.L., and Iverson, R.M., 2014, A depth-averaged debris-flow model that includes the effects of evolving dilatancy: II. Numerical predictions and experimental tests.: Proceedings of the Royal Society A, v. 470, no. 2170, 31 p., https://doi.org/10.1098/rspa.2013.0820.","productDescription":"31 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053085","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":472543,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspa.2013.0820","text":"Publisher Index Page"},{"id":320034,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"470","issue":"2170","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-08","publicationStatus":"PW","scienceBaseUri":"570f6dabe4b0ef3b7ca3566a","contributors":{"authors":[{"text":"George, David L. 0000-0002-5726-0255 dgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-5726-0255","contributorId":3120,"corporation":false,"usgs":true,"family":"George","given":"David","email":"dgeorge@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":626643,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iverson, Richard M. 0000-0002-7369-3819 riverson@usgs.gov","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":536,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"riverson@usgs.gov","middleInitial":"M.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":626644,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70155072,"text":"70155072 - 2014 - Landscape effects on mallard habitat selection at multiple spatial scales during the non-breeding period","interactions":[],"lastModifiedDate":"2015-08-05T12:21:51","indexId":"70155072","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Landscape effects on mallard habitat selection at multiple spatial scales during the non-breeding period","docAbstract":"<p>Previous studies that evaluated effects of landscape-scale habitat heterogeneity on migratory waterbird distributions were spatially limited and temporally restricted to one major life-history phase. However, effects of landscape-scale habitat heterogeneity on long-distance migratory waterbirds can be studied across the annual cycle using new technologies, including global positioning system satellite transmitters. We used Bayesian discrete choice models to examine the influence of local habitats and landscape composition on habitat selection by a generalist dabbling duck, the mallard (Anas platyrhynchos), in the midcontinent of North America during the non-breeding period. Using a previously published empirical movement metric, we separated the non-breeding period into three seasons, including autumn migration, winter, and spring migration. We defined spatial scales based on movement patterns such that movements &gt;0.25 and &lt;30.00 km were classified as local scale and movements &gt;30.00 km were classified as relocation scale. Habitat selection at the local scale was generally influenced by local and landscape-level variables across all seasons. Variables in top models at the local scale included proximities to cropland, emergent wetland, open water, and woody wetland. Similarly, variables associated with area of cropland, emergent wetland, open water, and woody wetland were also included at the local scale. At the relocation scale, mallards selected resource units based on more generalized variables, including proximity to wetlands and total wetland area. Our results emphasize the role of landscape composition in waterbird habitat selection and provide further support for local wetland landscapes to be considered functional units of waterbird conservation and management.</p>","language":"English","publisher":"Spring Netherlands","publisherLocation":"Dordrecht, Netherlands","doi":"10.1007/s10980-014-0035-x","usgsCitation":"Beatty, W.S., Webb, E.B., Kesler, D.C., Raedeke, A.H., Naylor, L.W., and Humburg, D.D., 2014, Landscape effects on mallard habitat selection at multiple spatial scales during the non-breeding period: Landscape Ecology, v. 29, no. 6, p. 989-1000, https://doi.org/10.1007/s10980-014-0035-x.","productDescription":"12 p.","startPage":"989","endPage":"1000","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2010-09-01","temporalEnd":"2011-12-31","ipdsId":"IP-051645","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":306434,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","volume":"29","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-26","publicationStatus":"PW","scienceBaseUri":"55c333aee4b033ef52106a9a","contributors":{"authors":[{"text":"Beatty, William S. 0000-0003-0013-3113","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":146301,"corporation":false,"usgs":false,"family":"Beatty","given":"William","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":567350,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":564766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kesler, Dylan C.","contributorId":14358,"corporation":false,"usgs":false,"family":"Kesler","given":"Dylan","email":"","middleInitial":"C.","affiliations":[{"id":6769,"text":"University of Missouri, Columbia, MO","active":true,"usgs":false}],"preferred":false,"id":567351,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Raedeke, Andrew H.","contributorId":94083,"corporation":false,"usgs":true,"family":"Raedeke","given":"Andrew","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":567352,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Naylor, Luke W.","contributorId":145840,"corporation":false,"usgs":false,"family":"Naylor","given":"Luke","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":567353,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Humburg, Dale D.","contributorId":79357,"corporation":false,"usgs":false,"family":"Humburg","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":13073,"text":"Ducks Unlimited, Inc.","active":true,"usgs":false}],"preferred":false,"id":567354,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70156640,"text":"70156640 - 2014 - Foraging and growth potential of juvenile Chinook Salmon after tidal restoration of a large river delta","interactions":[],"lastModifiedDate":"2017-07-25T16:06:02","indexId":"70156640","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Foraging and growth potential of juvenile Chinook Salmon after tidal restoration of a large river delta","docAbstract":"<p><span>We evaluated whether restoring tidal flow to previously diked estuarine wetlands also restores foraging and growth opportunities for juvenile Chinook Salmon&nbsp;</span><i>Oncorhynchus tshawytscha</i><span>. Several studies have assessed the value of restored tidal wetlands for juvenile Pacific salmon&nbsp;</span><i>Oncorhynchus</i><span>&nbsp;spp., but few have used integrative measures of salmon performance, such as habitat-specific growth potential, to evaluate restoration. Our study took place in the Nisqually River delta, Washington, where recent dike removals restored tidal flow to 364 ha of marsh&mdash;the largest tidal marsh restoration project in the northwestern contiguous United States. We sampled fish assemblages, water temperatures, and juvenile Chinook Salmon diet composition and consumption rates in two restored and two reference tidal channels during a 3-year period after restoration; these data were used as inputs to a bioenergetics model to compare Chinook Salmon foraging performance and growth potential between the restored and reference channels. We found that foraging performance and growth potential of juvenile Chinook Salmon were similar between restored and reference tidal channels. However, Chinook Salmon densities were significantly lower in the restored channels than in the reference channels, and growth potential was more variable in the restored channels due to their more variable and warmer (2&deg;C) water temperatures. These results indicate that some&mdash;but not all&mdash;ecosystem attributes that are important for juvenile Pacific salmon can recover rapidly after large-scale tidal marsh restoration.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2014.945663","usgsCitation":"David, A.T., Ellings, C., Woo, I., Simenstad, C.A., Takekawa, J.Y., Turner, K.L., Smith, A.L., and Takekawa, J.E., 2014, Foraging and growth potential of juvenile Chinook Salmon after tidal restoration of a large river delta: Transactions of the American Fisheries Society, v. 143, no. 6, p. 1515-1529, https://doi.org/10.1080/00028487.2014.945663.","productDescription":"15 p.","startPage":"1515","endPage":"1529","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2010-04-01","temporalEnd":"2012-07-31","ipdsId":"IP-051717","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":488077,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Foraging_and_Growth_Potential_of_Juvenile_Chinook_Salmon_after_Tidal_Restoration_of_a_Large_River_Delta/1246730","text":"External Repository"},{"id":307440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Nisqually River delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.10043334960938,\n              47.01678007415223\n            ],\n            [\n              -123.10043334960938,\n              47.34626718205302\n            ],\n            [\n              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Christopher","contributorId":146989,"corporation":false,"usgs":false,"family":"Ellings","given":"Christopher","affiliations":[{"id":16766,"text":"Nisqually Indian Tribe, Dep't of Natural Resources, Olympia, WA","active":true,"usgs":false}],"preferred":false,"id":569759,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woo, Isa 0000-0002-8447-9236 iwoo@usgs.gov","orcid":"https://orcid.org/0000-0002-8447-9236","contributorId":2524,"corporation":false,"usgs":true,"family":"Woo","given":"Isa","email":"iwoo@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":569760,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Simenstad, Charles A.","contributorId":88477,"corporation":false,"usgs":false,"family":"Simenstad","given":"Charles","email":"","middleInitial":"A.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":569761,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":569757,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Turner, Kelley L.","contributorId":146990,"corporation":false,"usgs":false,"family":"Turner","given":"Kelley","email":"","middleInitial":"L.","affiliations":[{"id":16767,"text":"WERC, USGS former employee","active":true,"usgs":false}],"preferred":false,"id":569762,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Ashley L. alsmith@usgs.gov","contributorId":129,"corporation":false,"usgs":true,"family":"Smith","given":"Ashley","email":"alsmith@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":569763,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Takekawa, Jean E.","contributorId":146991,"corporation":false,"usgs":false,"family":"Takekawa","given":"Jean","email":"","middleInitial":"E.","affiliations":[{"id":16768,"text":"USFWS, Nisqually NWR, Olympia, WA","active":true,"usgs":false}],"preferred":false,"id":569764,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70160928,"text":"70160928 - 2014 - Geophysical framework of the Peninsular Ranges batholith—Implications for tectonic evolution and neotectonics","interactions":[],"lastModifiedDate":"2016-01-05T10:01:27","indexId":"70160928","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1726,"text":"GSA Memoirs","active":true,"publicationSubtype":{"id":10}},"title":"Geophysical framework of the Peninsular Ranges batholith—Implications for tectonic evolution and neotectonics","docAbstract":"<p><span>The crustal structure of the Peninsular Ranges batholith can be divided geophysically into two parts: (1) a western mafic part that is dense, magnetic, and characterized by relatively high seismic velocities (&gt;6.25 km/s), low heat flow (&lt;60 mW/m</span><sup>2</sup><span>), and relatively sparse seismicity, and (2) an eastern, more felsic part that is less dense, weakly magnetic, and characterized by lower seismic velocities (&lt;6.25 km/s), high heat flow (&gt;60 mW/m</span><sup>2</sup><span>), and abundant microseismicity. Potential-field modeling indicates that the dense, mafic part of the batholith extends to depths of at least 20 km and likely to the Moho. The magnetic anomalies of the western part of the batholith extend south beyond the spatially extensive exposures of the batholith to the tip of the Baja California peninsula, which suggests that the mafic part of the batholith projects beneath Cenozoic volcanic cover another 400 km. The linearity and undisrupted nature of the magnetic belt of anomalies suggest that the western part of the batholith has behaved as a rigid block since emplacement of the batholith. The batholith may have influenced not only the development of the Gulf of California oblique rift, but also strike-slip faulting along its northern margin, and transtensional faulting along its western margin, likely because it is thermally and mechanically more resistant to deformation than the surrounding crust.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2014.1211(01)","usgsCitation":"Langenheim, V., Jachens, R.C., and Aiken, C., 2014, Geophysical framework of the Peninsular Ranges batholith—Implications for tectonic evolution and neotectonics: GSA Memoirs, v. 211, p. 1-20, https://doi.org/10.1130/2014.1211(01).","productDescription":"20 p.","startPage":"1","endPage":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033143","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":313326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.7646484375,\n              23.241346102386135\n            ],\n            [\n              -110.1708984375,\n              22.187404991398775\n            ],\n            [\n              -124.8046875,\n              38.92522904714054\n            ],\n            [\n              -121.46484375,\n              40.07807142745009\n            ],\n            [\n              -114.08203125,\n              31.42866311735861\n            ],\n            [\n              -108.7646484375,\n              23.241346102386135\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"211","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"568cf743e4b0e7a44bc0f160","contributors":{"authors":[{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":151042,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":584245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jachens, Robert C. jachens@usgs.gov","contributorId":1180,"corporation":false,"usgs":true,"family":"Jachens","given":"Robert","email":"jachens@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":584244,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aiken, Carlos","contributorId":151070,"corporation":false,"usgs":false,"family":"Aiken","given":"Carlos","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":584246,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70155897,"text":"70155897 - 2014 - Geomorphic evidence for enhanced Pliocene-Quaternary faulting in the northwestern Basin and Range","interactions":[],"lastModifiedDate":"2015-08-13T11:54:32","indexId":"70155897","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2626,"text":"Lithosphere","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphic evidence for enhanced Pliocene-Quaternary faulting in the northwestern Basin and Range","docAbstract":"<p>Mountains in the U.S. Basin and Range Province are similar in form, yet they have different histories of deformation and uplift. Unfortunately, chronicling fault slip with techniques like thermochronology and geodetics can still leave sizable, yet potentially important gaps at Pliocene&ndash;Quaternary (&sim;105&ndash;106 yr) time scales. Here, we combine existing geochronology with new geomorphic observations and approaches to investigate the Miocene to Quaternary slip history of active normal faults that are exhuming three footwall ranges in northwestern Nevada: the Pine Forest Range, the Jackson Mountains, and the Santa Rosa Range. We use the National Elevation Dataset (10 m) digital elevation model (DEM) to measure bedrock river profiles and hillslope gradients from these ranges. We observe a prominent suite of channel convexities (knickpoints) that segment the channels into upper reaches with low steepness (mean k<sub>sn</sub> = &sim;182; &theta;<sub>ref</sub> = 0.51) and lower, fault-proximal reaches with high steepness (mean k<sub>sn</sub> = &sim;361), with a concomitant increase in hillslope angles of &sim;6&deg;&ndash;9&deg;. Geologic maps and field-based proxies for rock strength allow us to rule out static causes for the knickpoints and interpret them as transient features triggered by a drop in base level that created &sim;20% of the existing relief (&sim;220 m of &sim;1050 m total). We then constrain the timing of base-level change using paleochannel profile reconstructions, catchment-scale volumetric erosion fluxes, and a stream-power&ndash;based knickpoint celerity (migration) model. Low-temperature thermochronology data show that faulting began at ca. 11&ndash;12 Ma, yet our results estimate knickpoint initiation began in the last 5 Ma and possibly as recently as 0.1 Ma with reasonable migration rates of 0.5&ndash;2 mm/yr. We interpret the collective results to be evidence for enhanced Pliocene&ndash;Quaternary fault slip that may be related to tectonic reorganization in the American West, although we cannot rule out climate as a contributing mechanism. We propose that similar studies, which remain remarkably rare across the region, be used to further test how robust this Plio&ndash;Quaternary landscape signal may be throughout the Great Basin.</p>","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/L401.1","usgsCitation":"Ellis, M.A., B, B.J., and Colgan, J.P., 2014, Geomorphic evidence for enhanced Pliocene-Quaternary faulting in the northwestern Basin and Range: Lithosphere, v. 7, no. 1, p. 59-72, https://doi.org/10.1130/L401.1.","productDescription":"14 p.","startPage":"59","endPage":"72","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057543","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":472528,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/l401.1","text":"Publisher Index Page"},{"id":306647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"U.S. Basin and Range Province","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.26953125,\n              42.68243539838623\n            ],\n            [\n              -119.88281249999999,\n              42.65012181368025\n            ],\n            [\n              -120.73974609374999,\n              39.18117526158749\n            ],\n            [\n              -117.57568359374999,\n              36.26199220445664\n            ],\n            [\n              -114.08203125,\n              36.63316209558658\n            ],\n            [\n              -111.11572265625,\n              40.27952566881291\n            ],\n            [\n              -111.26953125,\n              42.68243539838623\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55cdbfb3e4b08400b1fe1402","contributors":{"authors":[{"text":"Ellis, Magdalena A","contributorId":146227,"corporation":false,"usgs":false,"family":"Ellis","given":"Magdalena","email":"","middleInitial":"A","affiliations":[{"id":16637,"text":"University of North Carolina, Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":566677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"B, Barnes Jason","contributorId":146228,"corporation":false,"usgs":false,"family":"B","given":"Barnes","email":"","middleInitial":"Jason","affiliations":[{"id":16637,"text":"University of North Carolina, Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":566678,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colgan, Joseph P. 0000-0001-6671-1436 jcolgan@usgs.gov","orcid":"https://orcid.org/0000-0001-6671-1436","contributorId":1649,"corporation":false,"usgs":true,"family":"Colgan","given":"Joseph","email":"jcolgan@usgs.gov","middleInitial":"P.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":566676,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70161750,"text":"70161750 - 2014 - Development of a globally applicable model for near real-time prediction of seismically induced landslides","interactions":[],"lastModifiedDate":"2016-01-05T15:42:36","indexId":"70161750","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1517,"text":"Engineering Geology","active":true,"publicationSubtype":{"id":10}},"title":"Development of a globally applicable model for near real-time prediction of seismically induced landslides","docAbstract":"<p><span>Substantial effort has been invested to understand where seismically induced landslides may occur in the future, as they are a costly and frequently fatal threat in mountainous regions. The goal of this work is to develop a statistical model for estimating the spatial distribution of landslides in near real-time around the globe for use in conjunction with the U.S. Geological Survey (USGS)&nbsp;</span><i>Prompt Assessment of Global Earthquakes for Response</i><span>&nbsp;(</span><i>PAGER</i><span>) system. This model uses standardized outputs of ground shaking from the USGS&nbsp;</span><i>ShakeMap</i><span>&nbsp;Atlas 2.0 to develop an empirical landslide probability model, combining shaking estimates with broadly available landslide susceptibility proxies, i.e., topographic slope, surface geology, and climate parameters. We focus on four earthquakes for which digitally mapped landslide inventories and well-constrained</span><i>ShakeMaps</i><span>&nbsp;are available. The resulting database is used to build a predictive model of the probability of landslide occurrence. The landslide database includes the Guatemala (1976), Northridge (1994), Chi-Chi (1999), and Wenchuan (2008) earthquakes. Performance of the regression model is assessed using statistical goodness-of-fit metrics and a qualitative review to determine which combination of the proxies provides both the optimum prediction of landslide-affected areas and minimizes the false alarms in non-landslide zones. Combined with near real-time&nbsp;</span><i>ShakeMaps</i><span>, these models can be used to make generalized predictions of whether or not landslides are likely to occur (and if so, where) for earthquakes around the globe, and eventually to inform loss estimates within the framework of the&nbsp;</span><i>PAGER</i><span>&nbsp;system.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.enggeo.2014.02.002","usgsCitation":"Nowicki, M.A., Wald, D.J., Hamburger, M., Hearne, M., and Thompson, E., 2014, Development of a globally applicable model for near real-time prediction of seismically induced landslides: Engineering Geology, v. 173, p. 54-65, https://doi.org/10.1016/j.enggeo.2014.02.002.","productDescription":"10 p.","startPage":"54","endPage":"65","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055123","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":313843,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"173","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"568cf73fe4b0e7a44bc0f14b","contributors":{"authors":[{"text":"Nowicki, M. Anna mnowicki@usgs.gov","contributorId":5349,"corporation":false,"usgs":true,"family":"Nowicki","given":"M.","email":"mnowicki@usgs.gov","middleInitial":"Anna","affiliations":[],"preferred":false,"id":587641,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":587642,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hamburger, Michael W.","contributorId":77012,"corporation":false,"usgs":true,"family":"Hamburger","given":"Michael W.","affiliations":[],"preferred":false,"id":587643,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hearne, Mike 0000-0002-8225-2396 mhearne@usgs.gov","orcid":"https://orcid.org/0000-0002-8225-2396","contributorId":4659,"corporation":false,"usgs":true,"family":"Hearne","given":"Mike","email":"mhearne@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":587644,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, Eric M.","contributorId":48501,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric M.","affiliations":[],"preferred":false,"id":587645,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70161749,"text":"70161749 - 2014 - A V<sub>S30</sub> map for California with geologic and topographic constraints","interactions":[],"lastModifiedDate":"2016-01-05T15:45:50","indexId":"70161749","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"A V<sub>S30</sub> map for California with geologic and topographic constraints","docAbstract":"<p><span>For many earthquake engineering applications, site response is estimated through empirical correlations with the time‐averaged shear‐wave velocity to 30&nbsp;m depth (</span><i>V</i><sub><i>S</i>30</sub><span>). These applications therefore depend on the availability of either site‐specific&nbsp;</span><i>V</i><sub><i>S</i>30</sub><span>&nbsp;measurements or&nbsp;</span><i>V</i><sub><i>S</i>30</sub><span>&nbsp;maps at local, regional, and global scales. Because&nbsp;</span><i>V</i><sub><i>S</i>30</sub><span>&nbsp;measurements are sparse, a proxy frequently is needed to estimate&nbsp;</span><i>V</i><sub><i>S</i>30</sub><span>&nbsp;at unsampled locations. We present a new&nbsp;</span><i>V</i><sub><i>S</i>30</sub><span>&nbsp;map for California, which accounts for observational constraints from multiple sources and spatial scales, such as geology, topography, and site‐specific&nbsp;</span><i>V</i><sub><i>S</i>30</sub><span>measurements. We apply the geostatistical approach of regression kriging (RK) to combine these constraints for predicting&nbsp;</span><i>V</i><sub><i>S</i>30</sub><span>. For the&nbsp;</span><i>V</i><sub><i>S</i>30</sub><span>&nbsp;trend, we start with geology‐based&nbsp;</span><i>V</i><sub><i>S</i>30</sub><span>&nbsp;values and identify two distinct trends between topographic gradient and the residuals from the geology&nbsp;</span><i>V</i><sub><i>S</i>30</sub><span>&nbsp;model. One trend applies to deep and fine Quaternary alluvium, whereas the second trend is slightly stronger and applies to Pleistocene sedimentary units. The RK framework ensures that the resulting map of California is locally refined to reflect the rapidly expanding database of&nbsp;</span><i>V</i><sub><i>S</i>30</sub><span>&nbsp;measurements throughout California. We compare the accuracy of the new mapping method to a previously developed map of&nbsp;</span><i>V</i><sub><i>S</i>30</sub><span>&nbsp;for California. We also illustrate the sensitivity of ground motions to the new&nbsp;</span><i>V</i><sub><i>S</i>30</sub><span>&nbsp;map by comparing real and scenario ShakeMaps with&nbsp;</span><i>V</i><sub><i>S</i>30</sub><span>&nbsp;values from our new map to those for existing</span><i>V</i><sub><i>S</i>30</sub><span>&nbsp;maps.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120130312","usgsCitation":"Thompson, E., Wald, D.J., and Worden, C., 2014, A V<sub>S30</sub> map for California with geologic and topographic constraints: Bulletin of the Seismological Society of America, v. 104, no. 5, p. 2313-2321, https://doi.org/10.1785/0120130312.","productDescription":"9 p.","startPage":"2313","endPage":"2321","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056135","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":313848,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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cbworden@usgs.gov","orcid":"https://orcid.org/0000-0003-1181-685X","contributorId":152042,"corporation":false,"usgs":true,"family":"Worden","given":"Charles","email":"cbworden@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":587640,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70155074,"text":"70155074 - 2014 - The role of protected area wetlands in waterfowl habitat conservation:  implications for protected area network design","interactions":[],"lastModifiedDate":"2015-08-05T12:13:46","indexId":"70155074","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"The role of protected area wetlands in waterfowl habitat conservation:  implications for protected area network design","docAbstract":"<p>The principal goal of protected area networks is biodiversity preservation, but efficacy of such networks is directly linked to animal movement within and outside area boundaries. We examined wetland selection patterns of mallards (Anas platyrhynchos) during non-breeding periods from 2010 to 2012 to evaluate the utility of protected areas to migratory waterfowl in North America. We tracked 33 adult females using global positioning system (GPS) satellite transmitters and implemented a use-availability resource selection design to examine mallard use of wetlands under varying degrees of protection. Specifically, we examined effects of proximities to National Wildlife Refuges, private land, state wildlife management areas, Wetland Reserve Program easements (WRP), and waterfowl sanctuaries on mallard wetland selection. In addition, we included landscape-level variables that measured areas of sanctuary and WRP within the surrounding landscape of each used and available wetland. We developed 8 wetland selection models according to season (autumn migration, winter, spring migration), hunting season (present, absent), and time period (diurnal, nocturnal). Model averaged parameter estimates indicated wetland selection patterns varied across seasons and time periods, but ducks consistently selected wetlands with greater areas of sanctuary and WRP in the surrounding landscape. Consequently, WRP has the potential to supplement protected area networks in the midcontinent region. Additionally, seasonal variation in wetland selection patterns indicated considering the effects of habitat management and anthropogenic disturbances on migratory waterfowl during the non-breeding period is essential in designing protected area networks.</p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.biocon.2014.05.018","usgsCitation":"Beatty, W.S., Kesler, D.C., Webb, E.B., Raedeke, A.H., Naylor, L.W., and Humburg, D.D., 2014, The role of protected area wetlands in waterfowl habitat conservation:  implications for protected area network design: Biological Conservation, v. 176, p. 144-152, https://doi.org/10.1016/j.biocon.2014.05.018.","productDescription":"9 p.","startPage":"144","endPage":"152","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2010-09-01","temporalEnd":"2012-12-31","ipdsId":"IP-053209","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":306433,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","volume":"176","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55c333b0e4b033ef52106aa1","contributors":{"authors":[{"text":"Beatty, William S. 0000-0003-0013-3113","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":146301,"corporation":false,"usgs":false,"family":"Beatty","given":"William","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":567345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kesler, Dylan C.","contributorId":14358,"corporation":false,"usgs":false,"family":"Kesler","given":"Dylan","email":"","middleInitial":"C.","affiliations":[{"id":6769,"text":"University of Missouri, Columbia, MO","active":true,"usgs":false}],"preferred":false,"id":567346,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":564768,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Raedeke, Andrew H.","contributorId":94083,"corporation":false,"usgs":true,"family":"Raedeke","given":"Andrew","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":567347,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Naylor, Luke W.","contributorId":145840,"corporation":false,"usgs":false,"family":"Naylor","given":"Luke","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":567348,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Humburg, Dale D.","contributorId":79357,"corporation":false,"usgs":false,"family":"Humburg","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":13073,"text":"Ducks Unlimited, Inc.","active":true,"usgs":false}],"preferred":false,"id":567349,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70146996,"text":"70146996 - 2014 - Quantifying understorey vegetation in the US Lake States: a proposed framework to inform regional forest carbon stocks","interactions":[],"lastModifiedDate":"2015-09-16T09:06:48","indexId":"70146996","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3886,"text":"Forestry","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying understorey vegetation in the US Lake States: a proposed framework to inform regional forest carbon stocks","docAbstract":"<p>The contribution of understorey vegetation (UVEG) to forest ecosystem biomass and carbon (C) across diverse forest types has, to date, eluded quantification at regional and national scales. Efforts to quantify UVEG C have been limited to field-intensive studies or broad-scale modelling approaches lacking field measurements. Although large-scale inventories of UVEG C are not common, species- and community-level inventories of vegetation structure are available and may prove useful in quantifying UVEG C stocks. This analysis developed a general framework for estimating UVEG C stocks by employing per cent cover estimates of UVEG from a region-wide forest inventory coupled with an estimate of maximum UVEG C across the US Lake States (i.e. Michigan, Minnesota and Wisconsin). Estimates of UVEG C stocks from this approach reasonably align with expected C stocks in the study region, ranging from 0.86 &plusmn; 0.06 Mg ha<sup>-1</sup> in red pine-dominated to 1.59 &plusmn; 0.06 Mg ha<sup>-1</sup> for aspen/birch-dominated forest types. Although the data employed here were originally collected to assess broad-scale forest structure and diversity, this study proposes a framework for using UVEG inventories as a foundation for estimating C stocks in an often overlooked, yet important ecosystem C pool.</p>","language":"English","publisher":"Institute of Chartered Foresters","publisherLocation":"London, England","doi":"10.1093/forestry/cpu023","usgsCitation":"Russell, M.B., D’Amato, A.W., Schulz, B.K., Woodall, C.W., Domke, G., and Bradford, J.B., 2014, Quantifying understorey vegetation in the US Lake States: a proposed framework to inform regional forest carbon stocks: Forestry, v. 87, no. 5, p. 629-638, https://doi.org/10.1093/forestry/cpu023.","productDescription":"10 p.","startPage":"629","endPage":"638","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051484","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":308146,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-06-13","publicationStatus":"PW","scienceBaseUri":"55fa92d1e4b05d6c4e501ac2","contributors":{"authors":[{"text":"Russell, Matthew B.","contributorId":140407,"corporation":false,"usgs":false,"family":"Russell","given":"Matthew","email":"","middleInitial":"B.","affiliations":[{"id":13478,"text":"Department of Forest Resources, University of Minnesota, St. Paul, Minnesota (Correspondence to: russellm@umn.edu)","active":true,"usgs":false}],"preferred":false,"id":545561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D’Amato, Anthony W.","contributorId":28140,"corporation":false,"usgs":false,"family":"D’Amato","given":"Anthony","email":"","middleInitial":"W.","affiliations":[{"id":13478,"text":"Department of Forest Resources, University of Minnesota, St. Paul, Minnesota (Correspondence to: russellm@umn.edu)","active":true,"usgs":false},{"id":6735,"text":"University of Vermont, Rubenstein School of Environment and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":545562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schulz, Bethany K.","contributorId":140420,"corporation":false,"usgs":false,"family":"Schulz","given":"Bethany","email":"","middleInitial":"K.","affiliations":[{"id":13487,"text":"USDA Forest Service, Pacific Northwest Research Station, Anchorage, AK 99503, USA (bschulz@fs.fed.us)","active":true,"usgs":false}],"preferred":false,"id":545563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodall, Christopher W.","contributorId":53696,"corporation":false,"usgs":false,"family":"Woodall","given":"Christopher","email":"","middleInitial":"W.","affiliations":[{"id":7264,"text":"USDA Forest Service, Northern Research Station, Beltsville, MD 20705","active":true,"usgs":false}],"preferred":false,"id":545564,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Domke, Grant M.","contributorId":28891,"corporation":false,"usgs":true,"family":"Domke","given":"Grant M.","affiliations":[],"preferred":false,"id":545565,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":545560,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70168784,"text":"70168784 - 2014 - A continuous record of intereruption velocity change at Mount St. Helens from coda wave interferometry","interactions":[],"lastModifiedDate":"2016-03-02T14:37:05","indexId":"70168784","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"A continuous record of intereruption velocity change at Mount St. Helens from coda wave interferometry","docAbstract":"<p><span>In September 2004, Mount St. Helens volcano erupted after nearly 18&thinsp;years of quiescence. However, it is unclear from the limited geophysical observations when or if the magma chamber replenished following the 1980&ndash;1986 eruptions in the years before the 2004&ndash;2008 extrusive eruption. We use coda wave interferometry with repeating earthquakes to measure small changes in the velocity structure of Mount St. Helens volcano that might indicate magmatic intrusion. By combining observations of relative velocity changes from many closely located earthquake sources, we solve for a continuous function of velocity changes with time. We find that seasonal effects dominate the relative velocity changes. Seismicity rates and repeating earthquake occurrence also vary seasonally; therefore, velocity changes and seismicity are likely modulated by snow loading, fluid saturation, and/or changes in groundwater level. We estimate hydrologic effects impart stress changes on the order of tens of kilopascals within the upper 4&thinsp;km, resulting in annual velocity variations of 0.5 to 1%. The largest nonseasonal change is a decrease in velocity at the time of the deep&nbsp;</span><i>M<span>w</span></i><span>&thinsp;=&thinsp;6.8 Nisqually earthquake. We find no systematic velocity changes during the most likely times of intrusions, consistent with a lack of observable surface deformation. We conclude that if replenishing intrusions occurred, they did not alter seismic velocities where this technique is sensitive due to either their small size or the finite compressibility of the magma chamber. We interpret the observed velocity changes and shallow seasonal seismicity as a response to small stress changes in a shallow, pressurized system.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2013JB010742","usgsCitation":"Hotovec-Ellis, A.J., Gomberg, J.S., Vidale, J., and Creager, K.C., 2014, A continuous record of intereruption velocity change at Mount St. Helens from coda wave interferometry: Journal of Geophysical Research B: Solid Earth, v. 119, no. 3, p. 2199-2214, https://doi.org/10.1002/2013JB010742.","productDescription":"16 p.","startPage":"2199","endPage":"2214","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052622","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":472546,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013jb010742","text":"Publisher Index Page"},{"id":318514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-28","publicationStatus":"PW","scienceBaseUri":"56d81cbae4b015c306f62bb0","contributors":{"authors":[{"text":"Hotovec-Ellis, Alicia J.","contributorId":81023,"corporation":false,"usgs":true,"family":"Hotovec-Ellis","given":"Alicia","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":621758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gomberg, Joan S. 0000-0002-0134-2606 gomberg@usgs.gov","orcid":"https://orcid.org/0000-0002-0134-2606","contributorId":1269,"corporation":false,"usgs":true,"family":"Gomberg","given":"Joan","email":"gomberg@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":621757,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vidale, John","contributorId":95804,"corporation":false,"usgs":true,"family":"Vidale","given":"John","affiliations":[],"preferred":false,"id":621759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Creager, Ken C.","contributorId":88603,"corporation":false,"usgs":true,"family":"Creager","given":"Ken","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":621760,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70168732,"text":"70168732 - 2014 - Geophysical interpretation of U, Th, and rare earth element mineralization of the Bokan Mountain peralkaline granite complex, Prince of Wales Island, southeast Alaska","interactions":[],"lastModifiedDate":"2016-02-29T15:12:43","indexId":"70168732","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3906,"text":"Interpretation","active":true,"publicationSubtype":{"id":10}},"title":"Geophysical interpretation of U, Th, and rare earth element mineralization of the Bokan Mountain peralkaline granite complex, Prince of Wales Island, southeast Alaska","docAbstract":"<p><span>A prospectivity map for rare earth element (REE) mineralization at the Bokan Mountain peralkaline granite complex, Prince of Wales Island, southeastern Alaska, was calculated from high-resolution airborne gamma-ray data. The map displays areas with similar radioelement concentrations as those over the Dotson REE-vein-dike system, which is characterized by moderately high %K, eU, and eTh (%K, percent potassium; eU, equivalent parts per million uranium; and eTh, equivalent parts per million thorium). Gamma-ray concentrations of rocks that share a similar range as those over the Dotson zone are inferred to locate high concentrations of REE-bearing minerals. An approximately 1300-m-long prospective tract corresponds to shallowly exposed locations of the Dotson zone. Prospective areas of REE mineralization also occur in continuous swaths along the outer edge of the pluton, over known but undeveloped REE occurrences, and within discrete regions in the older Paleozoic country rocks. Detailed mineralogical examinations of samples from the Dotson zone provide a means to understand the possible causes of the airborne Th and U anomalies and their relation to REE minerals. Thorium is sited primarily in thorite. Uranium also occurs in thorite and in a complex suite of&nbsp;</span><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mrow\"><span id=\"MathJax-Span-4\" class=\"mo\">&plusmn;</span><span id=\"MathJax-Span-5\" class=\"mi\">Ti</span><span id=\"MathJax-Span-6\" class=\"mo\">&plusmn;</span><span id=\"MathJax-Span-7\" class=\"mi\">Nb</span><span id=\"MathJax-Span-8\" class=\"mo\">&plusmn;</span><span id=\"MathJax-Span-9\" class=\"mi\">Y</span></span></span></span></span></span></span><span>&nbsp;oxide minerals, which include fergusonite, polycrase, and aeschynite. These oxides, along with Y-silicates, are the chief heavy REE (HREE)-bearing minerals. Hence, the eU anomalies, in particular, may indicate other occurrences of similar HREE-enrichment. Uranium and Th chemistry along the Dotson zone showed elevated U and total REEs east of the Camp Creek fault, which suggested the potential for increased HREEs based on their association with U-oxide minerals. A uranium prospectivity map, based on signatures present over the Ross-Adams mine area, was characterized by extremely high radioelement values. Known uranium deposits were identified in the U-prospectivity map, but the largest tract occurs over a radioelement-rich granite phase within the pluton that is likely not related to mineralization. Neither mineralization type displays a well-defined airborne magnetic signature.</span><br /><br /></p>","language":"English","publisher":"Society of Economic Geophysicists","doi":"10.1190/INT-2014-0010.1","usgsCitation":"McCafferty, A.E., Stoeser, D.B., and Van Gosen, B.S., 2014, Geophysical interpretation of U, Th, and rare earth element mineralization of the Bokan Mountain peralkaline granite complex, Prince of Wales Island, southeast Alaska: Interpretation, v. 2, no. 4, p. SJ47-SJ63, https://doi.org/10.1190/INT-2014-0010.1.","productDescription":"17 p.","startPage":"SJ47","endPage":"SJ63","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053884","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":318426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Prince of Wales Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -133.17626953125,\n              56.3774187738762\n            ],\n            [\n              -132.26440429687497,\n              55.64659898563683\n            ],\n            [\n              -131.912841796875,\n              55.26659815231191\n            ],\n            [\n              -131.934814453125,\n              54.67383096593114\n            ],\n            [\n              -132.78076171875,\n              54.629338216555766\n            ],\n            [\n              -133.330078125,\n              54.93345430690937\n            ],\n            [\n              -133.912353515625,\n              55.45394132943305\n            ],\n            [\n              -134.05517578125,\n              55.91842985630817\n            ],\n            [\n              -133.681640625,\n              56.39566444471659\n            ],\n            [\n              -133.17626953125,\n              56.3774187738762\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56d579cce4b015c306f1fc46","contributors":{"authors":[{"text":"McCafferty, Anne E. 0000-0001-5574-9201 anne@usgs.gov","orcid":"https://orcid.org/0000-0001-5574-9201","contributorId":1120,"corporation":false,"usgs":true,"family":"McCafferty","given":"Anne","email":"anne@usgs.gov","middleInitial":"E.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":621446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stoeser, Douglas B. dstoeser@usgs.gov","contributorId":1821,"corporation":false,"usgs":true,"family":"Stoeser","given":"Douglas","email":"dstoeser@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":621447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Gosen, Bradley S. 0000-0003-4214-3811 bvangose@usgs.gov","orcid":"https://orcid.org/0000-0003-4214-3811","contributorId":1174,"corporation":false,"usgs":true,"family":"Van Gosen","given":"Bradley","email":"bvangose@usgs.gov","middleInitial":"S.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":621448,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70159346,"text":"70159346 - 2014 - Evaluation of wave runup predictions from numerical and parametric models","interactions":[],"lastModifiedDate":"2015-10-22T15:25:49","indexId":"70159346","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of wave runup predictions from numerical and parametric models","docAbstract":"<p>Wave runup during storms is a primary driver of coastal evolution, including shoreline and dune erosion and barrier island overwash. Runup and its components, setup and swash, can be predicted from a parameterized model that was developed by comparing runup observations to offshore wave height, wave period, and local beach slope. Because observations during extreme storms are often unavailable, a numerical model is used to simulate the storm-driven runup to compare to the parameterized model and then develop an approach to improve the accuracy of the parameterization. Numerically simulated and parameterized runup were compared to observations to evaluate model accuracies. The analysis demonstrated that setup was accurately predicted by both the parameterized model and numerical simulations. Infragravity swash heights were most accurately predicted by the parameterized model. The numerical model suffered from bias and gain errors that depended on whether a one-dimensional or two-dimensional spatial domain was used. Nonetheless, all of the predictions were significantly correlated to the observations, implying that the systematic errors can be corrected. The numerical simulations did not resolve the incident-band swash motions, as expected, and the parameterized model performed best at predicting incident-band swash heights. An assimilated prediction using a weighted average of the parameterized model and the numerical simulations resulted in a reduction in prediction error variance. Finally, the numerical simulations were extended to include storm conditions that have not been previously observed. These results indicated that the parameterized predictions of setup may need modification for extreme conditions; numerical simulations can be used to extend the validity of the parameterized predictions of infragravity swash; and numerical simulations systematically underpredict incident swash, which is relatively unimportant under extreme conditions.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2014.06.004","usgsCitation":"Stockdon, H.F., Thompson, D.M., Plant, N.G., and Long, J.W., 2014, Evaluation of wave runup predictions from numerical and parametric models: Coastal Engineering, v. 92, p. 1-11, https://doi.org/10.1016/j.coastaleng.2014.06.004.","productDescription":"12 p.","startPage":"1","endPage":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052156","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":310543,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"562a08bfe4b011227bf1fd51","contributors":{"authors":[{"text":"Stockdon, Hilary F. 0000-0003-0791-4676 hstockdon@usgs.gov","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":2153,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"hstockdon@usgs.gov","middleInitial":"F.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":578106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, David M. 0000-0002-7103-5740 dthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7103-5740","contributorId":3502,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"dthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":578107,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":578108,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Long, Joseph W. 0000-0003-2912-1992 jwlong@usgs.gov","orcid":"https://orcid.org/0000-0003-2912-1992","contributorId":3303,"corporation":false,"usgs":true,"family":"Long","given":"Joseph","email":"jwlong@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":578109,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70074632,"text":"70074632 - 2014 - <sup>40</sup>Ar/<sup>39</sup>Ar geochronology, paleomagnetism, and evolution of the Boring volcanic field, Oregon and Washington, USA","interactions":[],"lastModifiedDate":"2019-03-06T07:50:09","indexId":"70074632","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"<sup>40</sup>Ar/<sup>39</sup>Ar geochronology, paleomagnetism, and evolution of the Boring volcanic field, Oregon and Washington, USA","docAbstract":"<p><span>The&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar investigations of a large suite of fine-grained basaltic rocks of the Boring volcanic field (BVF), Oregon and Washington (USA), yielded two primary results. (1) Using age control from paleomagnetic polarity, stratigraphy, and available plateau ages,&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar recoil model ages are defined that provide reliable age results in the absence of an age plateau, even in cases of significant Ar redistribution. (2) Grouping of eruptive ages either by period of activity or by composition defines a broadly northward progression of BVF volcanism during latest Pliocene and Pleistocene time that reflects rates consistent with regional plate movements. Based on the frequency distribution of measured ages, periods of greatest volcanic activity within the BVF occurred 2.7&ndash;2.2 Ma, 1.7&ndash;0.5 Ma, and 350&ndash;50 ka. Grouped by eruptive episode, geographic distributions of samples define a series of northeast-southwest&ndash;trending strips whose centers migrate from south-southeast to north-northwest at an average rate of 9.3 &plusmn; 1.6 mm/yr. Volcanic activity in the western part of the BVF migrated more rapidly than that to the east, causing trends of eruptive episodes to progress in an irregular, clockwise sense. The K</span><sub>2</sub><span>O and CaO values of dated samples exhibit well-defined temporal trends, decreasing and increasing, respectively, with age of eruption. Divided into two groups by K</span><sub>2</sub><span>O, the centers of these two distributions define a northward migration rate similar to that determined from eruptive age groups. This age and compositional migration rate of Boring volcanism is similar to the clockwise rotation rate of the Oregon Coast Range with respect to North America, and might reflect localized extension on the trailing edge of that rotating crustal block.</span></p>","publisher":"Geological Society of America","doi":"10.1130/GES00985.1","usgsCitation":"Fleck, R.J., Hagstrum, J.T., Calvert, A.T., Evarts, R.C., and Conrey, R.M., 2014, <sup>40</sup>Ar/<sup>39</sup>Ar geochronology, paleomagnetism, and evolution of the Boring volcanic field, Oregon and Washington, USA: Geosphere, v. 10, no. 6, p. 1283-1314, https://doi.org/10.1130/GES00985.1.","productDescription":"32 p.","startPage":"1283","endPage":"1314","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051191","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":472545,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00985.1","text":"Publisher Index Page"},{"id":320037,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Boring volcanic field","volume":"10","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"570f6dabe4b0ef3b7ca35668","contributors":{"authors":[{"text":"Fleck, Robert J. 0000-0002-3149-8249 fleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3149-8249","contributorId":1048,"corporation":false,"usgs":true,"family":"Fleck","given":"Robert","email":"fleck@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":518501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hagstrum, Jonathan T. 0000-0002-0689-280X jhag@usgs.gov","orcid":"https://orcid.org/0000-0002-0689-280X","contributorId":3474,"corporation":false,"usgs":true,"family":"Hagstrum","given":"Jonathan","email":"jhag@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":518504,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":518503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evarts, Russell C. revarts@usgs.gov","contributorId":1974,"corporation":false,"usgs":true,"family":"Evarts","given":"Russell","email":"revarts@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":518502,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conrey, Richard M.","contributorId":41911,"corporation":false,"usgs":true,"family":"Conrey","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":626651,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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