{"pageNumber":"1336","pageRowStart":"33375","pageSize":"25","recordCount":184769,"records":[{"id":70129434,"text":"70129434 - 2014 - A new species of small-eared shrew (Mammalia, Eulipotyphla, <i>Cryptotis</i>) from the Lacandona rain forest, Mexico","interactions":[],"lastModifiedDate":"2014-12-02T14:22:26","indexId":"70129434","displayToPublicDate":"2014-10-22T13:59:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"A new species of small-eared shrew (Mammalia, Eulipotyphla, <i>Cryptotis</i>) from the Lacandona rain forest, Mexico","docAbstract":"<p>The diversity and distribution of mammals in the American tropics remain incompletely known. We describe a new species of small-eared shrew (Soricidae, <em>Cryptotis</em>) from the Lacandona rain forest, Chiapas, southern Mexico. The new species is distinguished from other species of <em>Cryptotis</em> on the basis of a unique combination of pelage coloration, size, dental, cranial, postcranial, and external characters, and genetic distances. It appears most closely related to species in the <em>Cryptotis nigrescens</em> species group, which occurs from southern Mexico to montane regions of Colombia. This discovery is particularly remarkable because the new species is from a low-elevation habitat (approximately 90 m), whereas most shrews in the region are restricted to higher elevations, typically &gt; 1,000 m. The only known locality for the new shrew is in one of the last areas in southern Mexico where relatively undisturbed tropical vegetation is still found. The type locality is protected by the Mexican government as part of the Yaxchil&aacute;n Archaeological Site on the border between Mexico and Guatemala.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Mammalogy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Mammalogists","doi":"10.1644/14-MAMM-A-018","usgsCitation":"Guevara, L., Sánchez-Cordero, V., Leon-Paniagua, L., and Woodman, N., 2014, A new species of small-eared shrew (Mammalia, Eulipotyphla, <i>Cryptotis</i>) from the Lacandona rain forest, Mexico: Journal of Mammalogy, v. 95, no. 4, p. 739-753, https://doi.org/10.1644/14-MAMM-A-018.","productDescription":"15 p.","startPage":"739","endPage":"753","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055691","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":472683,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1644/14-mamm-a-018","text":"Publisher Index Page"},{"id":295609,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295608,"rank":1,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/https://dx.doi.org/10.1644/14-MAMM-A-018"}],"country":"Mexico","state":"Chiapas","otherGeospatial":"Lacandona rain forest","volume":"95","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-08-22","publicationStatus":"PW","scienceBaseUri":"5448b907e4b0f888a81b8799","contributors":{"authors":[{"text":"Guevara, Lazaro","contributorId":74696,"corporation":false,"usgs":true,"family":"Guevara","given":"Lazaro","email":"","affiliations":[],"preferred":false,"id":503720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sánchez-Cordero, Víctor","contributorId":15544,"corporation":false,"usgs":true,"family":"Sánchez-Cordero","given":"Víctor","affiliations":[],"preferred":false,"id":503718,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leon-Paniagua, Livia","contributorId":65780,"corporation":false,"usgs":true,"family":"Leon-Paniagua","given":"Livia","email":"","affiliations":[],"preferred":false,"id":503719,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":503717,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70129419,"text":"70129419 - 2014 - Can nitrogen fertilization aid restoration of mature tree productivity in degraded dryland riverine ecosystems?","interactions":[],"lastModifiedDate":"2014-10-24T09:04:52","indexId":"70129419","displayToPublicDate":"2014-10-22T09:08:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Can nitrogen fertilization aid restoration of mature tree productivity in degraded dryland riverine ecosystems?","docAbstract":"Restoration of riparian forest productivity lost as a consequence of flow regulation is a common management goal in dryland riverine ecosystems. In the northern hemisphere, dryland river floodplain trees often include one or another species of Populus, which are fast-growing, nutrient-demanding trees. Because the trees are phreatophytic in drylands, and have water needs met in whole or in part by a shallow water table, their productivity may be limited by nitrogen (N) availability, which commonly limits primary productivity in mesic environments. We added 20 g N m<sup>−2</sup> in a 2-m radius around the base of mature <i>Populus fremontii</i> along each of a regulated and free-flowing river in semiarid northwest Colorado, USA (total n = 42) in order to test whether growth is constrained by low soil N. Twelve years after fertilization, we collected increment cores from these and matched unfertilized trees and compared radial growth ratios (growth in the 3-year post-fertilization period/growth in the 3-year pre-fertilization period) in paired t tests. We expected a higher mean ratio in the fertilized trees. No effect from fertilization was detected, nor was a trend evident on either river. An alternative test using analysis of covariance (ANCOVA) produced a similar result. Our results underscore the need for additional assessment of which and to what extent factors other than water control dryland riverine productivity. Positive confirmation of adequate soil nutrients at these and other dryland riparian sites would bolster the argument that flow management is necessary and sufficient to maximize productivity and enhance resilience in affected desert riverine forests.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Restoration Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/rec.12104","usgsCitation":"Andersen, D., Adair, E.C., Nelson, S.M., and Binkley, D., 2014, Can nitrogen fertilization aid restoration of mature tree productivity in degraded dryland riverine ecosystems?: Restoration Ecology, v. 22, no. 5, p. 582-589, https://doi.org/10.1111/rec.12104.","productDescription":"8 p.","startPage":"582","endPage":"589","numberOfPages":"8","ipdsId":"IP-055259","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":472684,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.12104","text":"Publisher Index Page"},{"id":295599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295595,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/rec.12104"}],"country":"United States","state":"Colorado","volume":"22","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-05-22","publicationStatus":"PW","scienceBaseUri":"5448b90ae4b0f888a81b879d","chorus":{"doi":"10.1111/rec.12104","url":"http://dx.doi.org/10.1111/rec.12104","publisher":"Wiley-Blackwell","authors":"Andersen Douglas C., Adair Elizabeth Carol, Nelson Sigfrid Mark, Binkley Dan","journalName":"Restoration Ecology","publicationDate":"5/22/2014"},"contributors":{"authors":[{"text":"Andersen, Douglas C. doug_andersen@usgs.gov","contributorId":2216,"corporation":false,"usgs":true,"family":"Andersen","given":"Douglas C.","email":"doug_andersen@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":503698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adair, Elizabeth Carol","contributorId":74695,"corporation":false,"usgs":true,"family":"Adair","given":"Elizabeth","email":"","middleInitial":"Carol","affiliations":[],"preferred":false,"id":503700,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, Sigfrid Mark","contributorId":46438,"corporation":false,"usgs":true,"family":"Nelson","given":"Sigfrid","email":"","middleInitial":"Mark","affiliations":[],"preferred":false,"id":503699,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Binkley, Dan","contributorId":103978,"corporation":false,"usgs":true,"family":"Binkley","given":"Dan","affiliations":[],"preferred":false,"id":503701,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70125720,"text":"ofr20141152 - 2014 - Landscape consequences of natural gas extraction in Cameron, Clarion, Elk, Forest, Jefferson, McKean, Potter, and Warren Counties, Pennsylvania, 2004-2010","interactions":[],"lastModifiedDate":"2016-08-19T18:27:09","indexId":"ofr20141152","displayToPublicDate":"2014-10-22T08:48:00","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":"2014-1152","title":"Landscape consequences of natural gas extraction in Cameron, Clarion, Elk, Forest, Jefferson, McKean, Potter, and Warren Counties, Pennsylvania, 2004-2010","docAbstract":"<p>Increased demands for cleaner burning energy, coupled with the relatively recent technological advances in accessing hydrocarbon-rich geologic formations, have led to an intense effort to find and extract unconventional natural gas from various underground sources around the country. One of these sources, the Marcellus Shale, located in the Allegheny Plateau, is currently undergoing extensive drilling and production. The technology used to extract gas in the Marcellus Shale is known as hydraulic fracturing and has garnered much attention because of its use of large amounts of fresh water, its use of proprietary fluids for the hydraulic-fracturing process, its potential to release contaminants into the environment, and its potential effect on water resources. Nonetheless, development of natural gas extraction wells in the Marcellus Shale is only part of the overall natural gas story in this area of Pennsylvania. Conventional natural gas wells, which sometimes use the same technique for extraction, are commonly located in the same general area as the Marcellus Shale and are frequently developed in clusters across the landscape. The combined effects of these two natural gas extraction methods create potentially serious patterns of disturbance on the landscape. This document quantifies the landscape changes and consequences of natural gas extraction for Cameron, Clarion, Elk, Forest, Jefferson, McKean, Potter, and Warren Counties in Pennsylvania between 2004 and 2010. Patterns of landscape disturbance related to natural gas extraction activities were collected and digitized using National Agriculture Imagery Program (NAIP) imagery for 2004, 2005/2006, 2008, and 2010. The disturbance patterns were then used to measure changes in land cover and land use using the National Land Cover Database (NLCD) of 2001. A series of landscape metrics is also used to quantify these changes and is included in this publication. In this region, natural gas and oil development disturbed approximately 5,255 hectares (ha) (conventional, 2,400 ha; Marcellus, 357 ha; and oil, 1,883 ha) of land of which 3,507 ha were forested land and 610 ha were agricultural land. Eighty percent of that total disturbance was from conventional natural gas and oil development.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston,  VA","doi":"10.3133/ofr20141152","usgsCitation":"Milheim, L.E., Slonecker, E.T., Roig-Silva, C., Winters, S., and Ballew, J.R., 2014, Landscape consequences of natural gas extraction in Cameron, Clarion, Elk, Forest, Jefferson, McKean, Potter, and Warren Counties, Pennsylvania, 2004-2010: U.S. Geological Survey Open-File Report 2014-1152, v, 45 p., https://doi.org/10.3133/ofr20141152.","productDescription":"v, 45 p.","numberOfPages":"51","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2004-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-056242","costCenters":[{"id":242,"text":"Eastern Geographic Science 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E.","contributorId":89469,"corporation":false,"usgs":true,"family":"Milheim","given":"L.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":501640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slonecker, E. T.","contributorId":101585,"corporation":false,"usgs":true,"family":"Slonecker","given":"E.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":501641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roig-Silva, C. M.","contributorId":11534,"corporation":false,"usgs":true,"family":"Roig-Silva","given":"C. M.","affiliations":[],"preferred":false,"id":501637,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Winters, S. G.","contributorId":75083,"corporation":false,"usgs":true,"family":"Winters","given":"S. G.","affiliations":[],"preferred":false,"id":501639,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ballew, J. R.","contributorId":46030,"corporation":false,"usgs":true,"family":"Ballew","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":501638,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70259726,"text":"70259726 - 2014 - InSAR imaging of aleutian volcanoes: Monitoring a volcanic arc from space","interactions":[],"lastModifiedDate":"2024-10-22T10:59:57.832685","indexId":"70259726","displayToPublicDate":"2014-10-22T05:54:29","publicationYear":"2014","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"displayTitle":"InSAR Imaging of Aleutian Volcanoes: Monitoring a Volcanic Arc from Space","title":"InSAR imaging of aleutian volcanoes: Monitoring a volcanic arc from space","docAbstract":"<p>Interferometric synthetic aperture radar (InSAR) is a relatively new remote sensing tool that is capable of measuring ground-surface deformation with centimeter-to-subcentimeter precision at a spatial resolution of tens of meters over an area of hundreds to thousands of square kilometers. With its global coverage and all-weather imaging capability, InSAR has become an increasingly important technique for studying volcanoes in remote regions such as the Aleutian Islands. The spatial distribution of surface deformation data derived from InSAR images enables the construction of detailed mechanical models to enhance the study of magmatic processes.</p>","language":"English","publisher":"Springer","doi":"https://doi.org/10.1007/978-3-642-00348-6","usgsCitation":"Lu, Z., and Dzurisin, D., 2014, InSAR imaging of aleutian volcanoes: Monitoring a volcanic arc from space, xxix, 390 p., https://doi.org/https://doi.org/10.1007/978-3-642-00348-6.","productDescription":"xxix, 390 p.","ipdsId":"IP-043967","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":463069,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lu, Zhong 0000-0001-9181-1818 lu@usgs.gov","orcid":"https://orcid.org/0000-0001-9181-1818","contributorId":901,"corporation":false,"usgs":true,"family":"Lu","given":"Zhong","email":"lu@usgs.gov","affiliations":[],"preferred":true,"id":916468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dzurisin, Daniel 0000-0002-0138-5067 dzurisin@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-5067","contributorId":538,"corporation":false,"usgs":true,"family":"Dzurisin","given":"Daniel","email":"dzurisin@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":916469,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70074697,"text":"70074697 - 2014 - An integrated modeling approach to estimating Gunnison Sage-Grouse population dynamics: Combining index and demographic data","interactions":[],"lastModifiedDate":"2020-12-28T12:43:57.68989","indexId":"70074697","displayToPublicDate":"2014-10-21T16:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"An integrated modeling approach to estimating Gunnison Sage-Grouse population dynamics: Combining index and demographic data","docAbstract":"<p><span>Evaluation of population dynamics for rare and declining species is often limited to data that are sparse and/or of poor quality. Frequently, the best data available for rare bird species are based on large‐scale, population count data. These data are commonly based on sampling methods that lack consistent sampling effort, do not account for detectability, and are complicated by observer bias. For some species, short‐term studies of demographic rates have been conducted as well, but the data from such studies are typically analyzed separately. To utilize the strengths and minimize the weaknesses of these two data types, we developed a novel Bayesian integrated model that links population count data and population demographic data through population growth rate (</span><i>λ</i><span>) for Gunnison sage‐grouse (</span><i>Centrocercus minimus</i><span>). The long‐term population index data available for Gunnison sage‐grouse are annual (years 1953–2012) male lek counts. An intensive demographic study was also conducted from years 2005 to 2010. We were able to reduce the variability in expected population growth rates across time, while correcting for potential small sample size bias in the demographic data. We found the population of Gunnison sage‐grouse to be variable and slightly declining over the past 16&nbsp;years.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.1290","usgsCitation":"Davis, A.J., Hooten, M., Phillips, M.L., and Doherty, P.F., 2014, An integrated modeling approach to estimating Gunnison Sage-Grouse population dynamics: Combining index and demographic data: Ecology and Evolution, v. 4, no. 22, p. 4247-2457, https://doi.org/10.1002/ece3.1290.","productDescription":"11 p.","startPage":"4247","endPage":"2457","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045802","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":472685,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.1290","text":"Publisher Index Page"},{"id":311317,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.68701171875,\n              37.00255267215955\n            ],\n            [\n              -111.68701171875,\n              39.487084981687495\n            ],\n            [\n              -106.9189453125,\n              39.487084981687495\n            ],\n            [\n              -106.9189453125,\n              37.00255267215955\n            ],\n            [\n              -111.68701171875,\n              37.00255267215955\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"4","issue":"22","noUsgsAuthors":false,"publicationDate":"2014-10-22","publicationStatus":"PW","scienceBaseUri":"564717bde4b0e2669b3130ff","contributors":{"authors":[{"text":"Davis, Amy J.","contributorId":149854,"corporation":false,"usgs":false,"family":"Davis","given":"Amy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":579809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin B. 0000-0002-1614-723X","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":119998,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin B.","affiliations":[],"preferred":false,"id":518511,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Phillips, Michael L.","contributorId":149855,"corporation":false,"usgs":false,"family":"Phillips","given":"Michael","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":579810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doherty, Paul F. Jr.","contributorId":37636,"corporation":false,"usgs":false,"family":"Doherty","given":"Paul","suffix":"Jr.","email":"","middleInitial":"F.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":579811,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70129340,"text":"70129340 - 2014 - Comparative mineral chemistry and textures of SAFOD fault gouge and damage-zone rocks","interactions":[],"lastModifiedDate":"2014-10-24T09:06:42","indexId":"70129340","displayToPublicDate":"2014-10-21T10:03:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2468,"text":"Journal of Structural Geology","active":true,"publicationSubtype":{"id":10}},"title":"Comparative mineral chemistry and textures of SAFOD fault gouge and damage-zone rocks","docAbstract":"Creep in the San Andreas Fault Observatory at Depth (SAFOD) drillhole is localized to two foliated gouges, the central deforming zone (CDZ) and southwest deforming zone (SDZ). The gouges consist of porphyroclasts of serpentinite and sedimentary rock dispersed in a foliated matrix of Mg-smectite clays that formed as a result of shearing-enhanced reactions between the serpentinite and quartzofeldspathic rocks. The CDZ takes up most of the creep and exhibits differences in mineralogy and texture from the SDZ that are attributable to its higher shearing rate. In addition, a ∼0.2-m-wide sector of the CDZ at its northeastern margin (NE-CDZ) is identical to the SDZ and may represent a gradient in creep rate across the CDZ. The SDZ and NE-CDZ have lower clay contents and larger porphyroclasts than most of the CDZ, and they contain veinlets and strain fringes of calcite in the gouge matrix not seen elsewhere in the CDZ. Matrix clays in the SDZ and NE-CDZ are saponite and corrensite, whereas the rest of the CDZ lacks corrensite. Saponite is younger than corrensite, reflecting clay crystallization under declining temperatures, and clays in the more actively deforming portions of the CDZ have better equilibrated to the lower-temperature conditions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Structural Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jsg.2014.09.002","usgsCitation":"Moore, D.E., 2014, Comparative mineral chemistry and textures of SAFOD fault gouge and damage-zone rocks: Journal of Structural Geology, v. 68, no. A, p. 82-96, https://doi.org/10.1016/j.jsg.2014.09.002.","productDescription":"15 p.","startPage":"82","endPage":"96","numberOfPages":"15","ipdsId":"IP-056386","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":295522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295504,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jsg.2014.09.002"}],"country":"United States","state":"California","volume":"68","issue":"A","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54476785e4b0f888a81b82e4","contributors":{"authors":[{"text":"Moore, Diane E. 0000-0002-8641-1075 dmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-8641-1075","contributorId":2704,"corporation":false,"usgs":true,"family":"Moore","given":"Diane","email":"dmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":503600,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70141361,"text":"70141361 - 2014 - 210Pb dating","interactions":[],"lastModifiedDate":"2015-03-06T11:15:00","indexId":"70141361","displayToPublicDate":"2014-10-21T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"210Pb dating","docAbstract":"<p>Roughly fifty years ago, a small group of scientists from Belgium and the United States, trying to better constrain ice sheet accumulation rates, attempted to apply what was then know about environmental lead as a potential geochronometer. Thus Goldberg (1963) developed the first principles of the <sup>210</sup>Pb dating method, which was soon followed by a paper by Crozaz et al. (1964), who examined accumulation history of Antarctic snow using <sup>210</sup>Pb. Shortly thereafter, Koide et al. (1972, 1973) adapted this technique to unravel sediment deposition and accumulation records in deep-sea environments. Serendipitously, they chose to work in a deep basin off California, where an independent and robust age model had already been developed. Krishanswami et al. (1971) extended the use of this technique to lacustrine deposits to reconstruct depositional histories of lake sediment, and maybe more importantly, contaminant inputs and burial. Thus, the powerful tool for dating recent (up to about one century old) sediment deposits was established and soon widely adopted. Today almost all oceanographic or limnologic studies that address recent depositional reconstructions employ <sup>210</sup>Pb as one of several possible geochronometers (Andrews et al., 2009; Gale, 2009; Baskaran, 2011; Persson and Helms, 2011). This paper presents a short overview of the principles of <sup>210</sup>Pb dating and provides a few examples that illustrate the utility of this tracer in contrasting depositional systems. Potential caveats and uncertainties (Appleby et al., 1986; Binford, 1990; Binford et al., 1993; Smith, 2001; Hancock et al., 2002) inherent to the use and interpretation of <sup>210</sup>Pb-derived age-models are also introduced. Recommendations as to best practices for most reliable uses and reporting are presented in the summary.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of Scientific Dating Methods","language":"English","publisher":"Springer Netherlands","doi":"10.1007/978-94-007-6326-5_236-1","usgsCitation":"Swarzenski, P.W., 2014, 210Pb dating, chap. <i>of</i> Encyclopedia of Scientific Dating Methods, 11 p., https://doi.org/10.1007/978-94-007-6326-5_236-1.","productDescription":"11 p.","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060526","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":298327,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-21","publicationStatus":"PW","scienceBaseUri":"54faddb9e4b02419550db6cd","contributors":{"authors":[{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":540728,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70156794,"text":"70156794 - 2014 - Stitching the western Piedmont of Virginia: Early Paleozoic tectonic history of the Ellisville Pluton and the Potomac and Chopawamsic Terranes","interactions":[],"lastModifiedDate":"2017-05-08T10:39:36","indexId":"70156794","displayToPublicDate":"2014-10-21T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Stitching the western Piedmont of Virginia: Early Paleozoic tectonic history of the Ellisville Pluton and the Potomac and Chopawamsic Terranes","docAbstract":"<p>The theme of the 2014 Virginia Geological Field Conference is the tectonic development, economic geology, and seismicity of the western Piedmont of Louisa County, Virginia. It is timely for the conference to turn its attention here, for during the past decade these aspects of western Piedmont geology have garnered the renewed attention of researchers. In terms of regional tectonics, it has been hypothesized that the major structure in the region, the Chopawamsic fault system, represents the most significant boundary in the Appalachian orogen, the main Iapetan suture (Hibbard et al., 2014). Economically, recent elevated market values of metals— particularly that of gold—has spurred reconsideration of the economic geology of the western Piedmont. Finally, the August 23, 2011, M5.8 earthquake, with its epicenter in our field area, startled the North American east coast and has revived awareness of the seismic potential of the region. </p><p>This renewed interest in the geology of the western Piedmont of north-central Virginia has led to new detailed bedrock mapping, detailed surficial mapping, high-resolution UPb TIMS zircon geochronology, U-Pb LA-ICPMS detrital zircon geochronology, radiogenic isotope geochemistry, major/minor/REE geochemistry, and geophysical studies (e.g. Bailey et al., 2005, 2008; Bailey and Owens, 2012: Berti et al., 2012; Burton et al., 2014; Burton, in progress; Harrison, 2012; Horton et al., 2010, in press; Hughes, 2010, 2014; Hughes et al., 2013a, 2013b, 2014, in press a, in press b; Malenda, in progress; Owens et al., 2013; Spears and Gilmer 2012; Spears et al. 2013, Terblanche, 2013; Terblanche and Nance, 2012). A host of institutions have taken part in the research, including North Carolina State University, the Virginia Department of Mines, Minerals, and Energy, the U.S. Geological Survey, Virginia Tech, Lehigh University, and the College of William and Mary. Many of these investigations remain active. The majority of the data presented herein is the product of research conducted from 2010 to 2014 by geologists at North Carolina State University. </p><p>This field trip guide is intended to complement a Geological Society of America field guide (Hughes et al., 2014) that covers the western Piedmont geology along strike to the northeast in the vicinity of Fredericksburg. Geologic mapping and geochronologic and geochemical sampling were coordinated between these two areas as part of a study funded in part by the National Science Foundation and the USGS EDMAP program. Some of the stops in this guide have previously been written up in past field guides (Hughes, 2010; Burton et al., 2014) and are reused here because of their ease of access for large groups and because of new data that update the context and our understanding of the outcrops. </p>","conferenceTitle":"44th Annual Virginia Geological Field Conference","conferenceDate":"October 10-11, 2014","conferenceLocation":"Louisa County, VA","language":"English","publisher":"Virginia Museum of Natural History","publisherLocation":"Martinsville, VA","usgsCitation":"Hughes, K.S., Hibbard, J.P., Sauer, R., and Burton, W.C., 2014, Stitching the western Piedmont of Virginia: Early Paleozoic tectonic history of the Ellisville Pluton and the Potomac and Chopawamsic Terranes, v. 9, 33 p.","productDescription":"33 p.","ipdsId":"IP-059847","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science 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S.","contributorId":147160,"corporation":false,"usgs":false,"family":"Hughes","given":"K.","email":"","middleInitial":"S.","affiliations":[{"id":16798,"text":"N.C. State Univ.","active":true,"usgs":false}],"preferred":false,"id":570569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hibbard, J. P.","contributorId":147161,"corporation":false,"usgs":false,"family":"Hibbard","given":"J.","email":"","middleInitial":"P.","affiliations":[{"id":16799,"text":"N. C. State Univ.","active":true,"usgs":false}],"preferred":false,"id":570570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sauer, R.T.","contributorId":147162,"corporation":false,"usgs":false,"family":"Sauer","given":"R.T.","email":"","affiliations":[{"id":16800,"text":"Callahan Mining","active":true,"usgs":false}],"preferred":false,"id":570571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burton, William C. 0000-0001-7519-5787 bburton@usgs.gov","orcid":"https://orcid.org/0000-0001-7519-5787","contributorId":1293,"corporation":false,"usgs":true,"family":"Burton","given":"William","email":"bburton@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":570568,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148341,"text":"70148341 - 2014 - Loess as a Quaternary paleoenvironmental indicator","interactions":[],"lastModifiedDate":"2017-06-07T10:27:04","indexId":"70148341","displayToPublicDate":"2014-10-21T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5297,"text":"Past Global Changes","active":true,"publicationSubtype":{"id":10}},"title":"Loess as a Quaternary paleoenvironmental indicator","docAbstract":"<p>Loess is aeolian sediment that is dominated by silt-sized particles. Unlike either coarser dune sand or finer-grained, long-range-transported dust, loess is relatively poorly sorted, reflecting a combination of transport processes, including saltation, low suspension, and high suspension. Loess can be readily identified in the field; deposits range in thickness from a few centimeters to many tens of meters, and are found over large areas of Eurasia, South and North America (Fig. 1), and smaller areas of New Zealand, Australia, Africa and the Middle East. Loess covers approximately 10% of the Earth’s land surface and is therefore one of the most important terrestrial archives of paleoenvironmental change during the Quaternary. In many regions, loess sections consist of deposits of mostly unaltered sediment with intercalated paleosols. Paleosols represent periods of landscape stability when loess deposition ceased altogether, or at least slowed significantly. Loess can be dated directly using luminescence, radiocarbon, and amino acid geochronology methods. </p>","language":"English","publisher":"International Geosphere Biosphere Programme Global Change","doi":"10.22498/pages.22.2","usgsCitation":"Muhs, D., Prins, M., and Machalett, B., 2014, Loess as a Quaternary paleoenvironmental indicator: Past Global Changes, v. 22, no. 2, p. 84-85, https://doi.org/10.22498/pages.22.2.","productDescription":"2 p.","startPage":"84","endPage":"85","ipdsId":"IP-055146","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":472688,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.22498/pages.22.2","text":"Publisher Index Page"},{"id":342203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593910b4e4b0764e6c5e88d4","contributors":{"authors":[{"text":"Muhs, Daniel R. dmuhs@usgs.gov","contributorId":140959,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":547733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prins, M.A.","contributorId":140960,"corporation":false,"usgs":false,"family":"Prins","given":"M.A.","email":"","affiliations":[{"id":13630,"text":"Faculty of Earth and Life Sciences, VU University Amsterdam, the Netherlands","active":true,"usgs":false}],"preferred":false,"id":547734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Machalett, B.","contributorId":140961,"corporation":false,"usgs":false,"family":"Machalett","given":"B.","email":"","affiliations":[{"id":13631,"text":"Institute of Geography, Humboldt-Universität zu Berlin, Germany and Department of Natural and Applied Sciences, Bentley University, Waltham,","active":true,"usgs":false}],"preferred":false,"id":547735,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70133144,"text":"70133144 - 2014 - A multi-scale assessment of animal aggregation patterns to understand increasing pathogen seroprevalence","interactions":[],"lastModifiedDate":"2017-04-03T12:42:56","indexId":"70133144","displayToPublicDate":"2014-10-21T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"A multi-scale assessment of animal aggregation patterns to understand increasing pathogen seroprevalence","docAbstract":"<p><span>Understanding how animal density is related to pathogen transmission is important to develop effective disease control strategies, but requires measuring density at a scale relevant to transmission. However, this is not straightforward or well-studied among large mammals with group sizes that range several orders of magnitude or aggregation patterns that vary across space and time. To address this issue, we examined spatial variation in elk (</span><i>Cervus canadensis</i><span>) aggregation patterns and brucellosis across 10 regions in the Greater Yellowstone Area where previous studies suggest the disease may be increasing. We hypothesized that rates of increasing brucellosis would be better related to the frequency of large groups than mean group size or population density, but we examined whether other measures of density would also explain rising seroprevalence. To do this, we measured wintering elk density and group size across multiple spatial and temporal scales from monthly aerial surveys. We used Bayesian hierarchical models and 20 years of serologic data to estimate rates of increase in brucellosis within the 10 regions, and to examine the linear relationships between these estimated rates of increase and multiple measures of aggregation. Brucellosis seroprevalence increased over time in eight regions (one region showed an estimated increase from 0.015 in 1991 to 0.26 in 2011), and these rates of increase were positively related to all measures of aggregation. The relationships were weaker when the analysis was restricted to areas where brucellosis was present for at least two years, potentially because aggregation was related to disease-establishment within a population. Our findings suggest that (1) group size did not explain brucellosis increases any better than population density and (2) some elk populations may have high densities with small groups or lower densities with large groups, but brucellosis is likely to increase in either scenario. In this case, any one control method such as reducing population density or group size may not be sufficient to reduce transmission. This study highlights the importance of examining the density-transmission relationship at multiple scales and across populations before broadly applying disease control strategies.</span></p>","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1890/ES14-00181.1","usgsCitation":"Brennan, A.K., Cross, P.C., Higgs, M.D., Edwards, W.H., Scurlock, B.M., and Creel, S., 2014, A multi-scale assessment of animal aggregation patterns to understand increasing pathogen seroprevalence: Ecosphere, v. 5, no. 10, art138: 25 p., https://doi.org/10.1890/ES14-00181.1.","productDescription":"art138: 25 p.","ipdsId":"IP-053350","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":472686,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es14-00181.1","text":"Publisher Index Page"},{"id":339041,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.896240234375,\n              41.393294288784865\n            ],\n            [\n              -106.50146484374999,\n              41.393294288784865\n            ],\n            [\n              -106.50146484374999,\n              44.98811302615805\n            ],\n            [\n              -109.896240234375,\n              44.98811302615805\n            ],\n            [\n              -109.896240234375,\n              41.393294288784865\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"5","issue":"10","noUsgsAuthors":false,"publicationDate":"2014-10-31","publicationStatus":"PW","scienceBaseUri":"58e35f80e4b09da67997ecb5","contributors":{"authors":[{"text":"Brennan, Angela K. akbrennan@usgs.gov","contributorId":4892,"corporation":false,"usgs":true,"family":"Brennan","given":"Angela","email":"akbrennan@usgs.gov","middleInitial":"K.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":false,"id":524802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":524801,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Higgs, Megan D.","contributorId":127365,"corporation":false,"usgs":false,"family":"Higgs","given":"Megan","email":"","middleInitial":"D.","affiliations":[{"id":6916,"text":"Department of Mathematical Sciences, Montana State University, Bozeman, USA","active":true,"usgs":false}],"preferred":false,"id":524803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, W. Henry","contributorId":127366,"corporation":false,"usgs":false,"family":"Edwards","given":"W.","email":"","middleInitial":"Henry","affiliations":[{"id":6917,"text":"Wyoming Game and Fish Department, Laramie, USA","active":true,"usgs":false}],"preferred":false,"id":688074,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scurlock, Brandon M.","contributorId":93788,"corporation":false,"usgs":false,"family":"Scurlock","given":"Brandon","email":"","middleInitial":"M.","affiliations":[{"id":6917,"text":"Wyoming Game and Fish Department, Laramie, USA","active":true,"usgs":false}],"preferred":false,"id":524805,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Creel, Scott","contributorId":15089,"corporation":false,"usgs":true,"family":"Creel","given":"Scott","affiliations":[],"preferred":false,"id":524806,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70188056,"text":"70188056 - 2014 - Examining change detection approaches for tropical mangrove monitoring","interactions":[],"lastModifiedDate":"2017-05-31T16:10:54","indexId":"70188056","displayToPublicDate":"2014-10-21T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Examining change detection approaches for tropical mangrove monitoring","docAbstract":"<p>This study evaluated the effectiveness of different band combinations and classifiers (unsupervised, supervised, object-oriented nearest neighbor, and object-oriented decision rule) for quantifying mangrove forest change using multitemporal Landsat data. A discriminant analysis using spectra of different vegetation types determined that bands 2 (0.52 to 0.6 μm), 5 (1.55 to 1.75 μm), and 7 (2.08 to 2.35 μm) were the most effective bands for differentiating mangrove forests from surrounding land cover types. A ranking of thirty-six change maps, produced by comparing the classification accuracy of twelve change detection approaches, was used. The object-based Nearest Neighbor classifier produced the highest mean overall accuracy (84 percent) regardless of band combinations. The automated decision rule-based approach (mean overall accuracy of 88 percent) as well as a composite of bands 2, 5, and 7 used with the unsupervised classifier and the same composite or all band difference with the object-oriented Nearest Neighbor classifier were the most effective approaches.</p>","language":"English","publisher":"American Society of Photogrammetry and Remote Sensing","doi":"10.14358/PERS.80.10.983","usgsCitation":"Myint, S.W., Franklin, J., Buenemann, M., Kim, W., and Giri, C., 2014, Examining change detection approaches for tropical mangrove monitoring: Photogrammetric Engineering and Remote Sensing, v. 10, p. 983-993, https://doi.org/10.14358/PERS.80.10.983.","productDescription":"11 p.","startPage":"983","endPage":"993","ipdsId":"IP-059199","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472687,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.80.10.983","text":"Publisher Index Page"},{"id":341870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592e84c2e4b092b266f10d79","contributors":{"authors":[{"text":"Myint, Soe W.","contributorId":192372,"corporation":false,"usgs":false,"family":"Myint","given":"Soe","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":696474,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Franklin, Janet","contributorId":90833,"corporation":false,"usgs":true,"family":"Franklin","given":"Janet","affiliations":[],"preferred":false,"id":696475,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buenemann, Michaela","contributorId":192374,"corporation":false,"usgs":false,"family":"Buenemann","given":"Michaela","email":"","affiliations":[],"preferred":false,"id":696476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kim, Won","contributorId":192375,"corporation":false,"usgs":false,"family":"Kim","given":"Won","email":"","affiliations":[],"preferred":false,"id":696477,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Giri, Chandra cgiri@usgs.gov","contributorId":189128,"corporation":false,"usgs":true,"family":"Giri","given":"Chandra","email":"cgiri@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":696335,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70102386,"text":"ofr20141079 - 2014 - Temporal changes in lithology and radiochemistry from the back-barrier environments along the Chandeleur Islands, Louisiana: March 2012-July 2013","interactions":[],"lastModifiedDate":"2025-05-13T16:59:51.385661","indexId":"ofr20141079","displayToPublicDate":"2014-10-20T16:27:00","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":"2014-1079","title":"Temporal changes in lithology and radiochemistry from the back-barrier environments along the Chandeleur Islands, Louisiana: March 2012-July 2013","docAbstract":"<P>Scientists from the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center conducted a time-series collection of shallow sediment cores from the back-barrier environments along the Chandeleur Islands, Louisiana from March 2012 through July 2013. The sampling efforts were part of a larger USGS study to evaluate effects on the geomorphology of the Chandeleur Islands following the construction of an artificial sand berm to reduce oil transport onto federally managed lands. The objective of this study was to evaluate the response of the back-barrier tidal and wetland environments to the berm.</P>\n<br/>\n<P>This report serves as an archive for sedimentological, radiochemical, and microbiological data derived from the sediment cores. Data are available for a time-series of four sampling periods: March 2012; July 2012; September 2012; and July 2013. Downloadable data are available as Excel spreadsheets and as JPEG files. Additional files include: ArcGIS shapefiles of the sampling sites, detailed results of sediment grain size analyses, and formal Federal Geographic Data Committee metadata.</P>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141079","usgsCitation":"Marot, M.E., Adams, C., Richwine, K.A., Smith, C.G., Osterman, L.E., and Bernier, J., 2014, Temporal changes in lithology and radiochemistry from the back-barrier environments along the Chandeleur Islands, Louisiana: March 2012-July 2013: U.S. Geological Survey Open-File Report 2014-1079, HTML Document, https://doi.org/10.3133/ofr20141079.","productDescription":"HTML Document","onlineOnly":"Y","temporalStart":"2012-03-01","temporalEnd":"2013-07-31","ipdsId":"IP-053261","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":295507,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141079.JPG"},{"id":295483,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1079"},{"id":295506,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1079/html/ofr2014-1079_abstract.html"}],"country":"United States","state":"Louisiana","otherGeospatial":"Chandeleur Islands","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5446160be4b0f888a81b7f05","contributors":{"authors":[{"text":"Marot, Marci E. 0000-0003-0504-315X mmarot@usgs.gov","orcid":"https://orcid.org/0000-0003-0504-315X","contributorId":2078,"corporation":false,"usgs":true,"family":"Marot","given":"Marci","email":"mmarot@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":492967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, C. 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Scott","affiliations":[],"preferred":false,"id":492972,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richwine, Kathryn A. krichwine@usgs.gov","contributorId":5004,"corporation":false,"usgs":true,"family":"Richwine","given":"Kathryn","email":"krichwine@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":492971,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":3410,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":492969,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Osterman, Lisa E. osterman@usgs.gov","contributorId":3058,"corporation":false,"usgs":true,"family":"Osterman","given":"Lisa","email":"osterman@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":492968,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bernier, Julie 0000-0002-9918-5353 jbernier@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-5353","contributorId":3549,"corporation":false,"usgs":true,"family":"Bernier","given":"Julie","email":"jbernier@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":492970,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70124042,"text":"ds878 - 2014 - Pharmaceutical compounds in shallow groundwater in non-agricultural areas of Minnesota: study design, methods, and data, 2013","interactions":[],"lastModifiedDate":"2014-10-21T09:31:38","indexId":"ds878","displayToPublicDate":"2014-10-20T16:09:00","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":"878","title":"Pharmaceutical compounds in shallow groundwater in non-agricultural areas of Minnesota: study design, methods, and data, 2013","docAbstract":"The U.S. Geological Survey, in cooperation with the Minnesota Pollution Control Agency, completed a study on the occurrence of pharmaceutical compounds and other contaminants of emerging concern in shallow groundwater in non-agricultural areas of Minnesota during 2013. This report describes the study design and methods for the study on the occurrence of pharmaceuticals and other contaminants of emerging concern, and presents the data collected on pharmaceutical compounds. Samples were analyzed by the U.S. Geological Survey National Water Quality Laboratory for 110 pharmaceutical compounds using research method 9017. Samples from 21 of 45 wells had detectable concentrations of at least one of the 110 compounds analyzed. One sample contained detectable concentrations of nine compounds, which was the most detected in a single sample. Fewer than five compounds were detected in most samples. Among all samples, 27 of the 110 compounds were detected in groundwater from at least one well. Desmethyldiltiazem and nicotine were the most frequently detected compounds, each detected in 5 of 46 environmental samples (one well was sampled twice so a total of 46 environmental samples were collected from 45 wells). Caffeine had the highest detectable concentration of all the compounds at 2,060 nanograms per liter.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds878","collaboration":"Prepared in cooperation with the Minnesota Pollution Control Agency","usgsCitation":"Elliott, S.M., and Erickson, M., 2014, Pharmaceutical compounds in shallow groundwater in non-agricultural areas of Minnesota: study design, methods, and data, 2013: U.S. Geological Survey Data Series 878, Report: v, 11 p.; Table 4, https://doi.org/10.3133/ds878.","productDescription":"Report: v, 11 p.; Table 4","numberOfPages":"22","onlineOnly":"Y","temporalStart":"2013-04-01","temporalEnd":"2013-06-30","ipdsId":"IP-057550","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":295505,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds878.jpg"},{"id":295503,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0878/"},{"id":295509,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0878/downloads/table4.xls"},{"id":295508,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0878/pdf/ds878.pdf"}],"scale":"24000","projection":"Universal Transverse Mercator projection","country":"United States","state":"Minnesota","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54461609e4b0f888a81b7f03","contributors":{"authors":[{"text":"Elliott, Sarah M. 0000-0002-1414-3024 selliott@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-3024","contributorId":1472,"corporation":false,"usgs":true,"family":"Elliott","given":"Sarah","email":"selliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":500578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erickson, Melinda L. 0000-0002-1117-2866 merickso@usgs.gov","orcid":"https://orcid.org/0000-0002-1117-2866","contributorId":3671,"corporation":false,"usgs":true,"family":"Erickson","given":"Melinda L.","email":"merickso@usgs.gov","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":500579,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70128323,"text":"fs20143103 - 2014 - Changing Arctic ecosystems: resilience of caribou to climatic shifts in the Arctic","interactions":[],"lastModifiedDate":"2018-07-14T13:42:47","indexId":"fs20143103","displayToPublicDate":"2014-10-20T15:53:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3103","title":"Changing Arctic ecosystems: resilience of caribou to climatic shifts in the Arctic","docAbstract":"The U.S. Geological Survey (USGS) Changing Arctic Ecosystems (CAE) initiative strives to inform key resource management decisions for Arctic Alaska by providing scientific information and forecasts for current and future ecosystem response to a warming climate. Over the past 5 years, a focal area for the USGS CAE initiative has been the North Slope of Alaska. This region has experienced a warming trend over the past 60 years, yet the rate of change has been varied across the North Slope, leading scientists to question the future response and resilience of wildlife populations, such as caribou (<I>Rangifer tarandus</I>), that rely on tundra habitats for forage. Future changes in temperature and precipitation to coastal wet sedge and upland low shrub tundra are expected, with unknown consequences for caribou that rely on these plant communities for food. Understanding how future environmental change may affect caribou migration, nutrition, and reproduction is a focal question being addressed by the USGS CAE research. Results will inform management agencies in Alaska and people that rely on caribou for food.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143103","usgsCitation":"Gustine, D.D., Adams, L., Whalen, M.E., and Pearce, J.M., 2014, Changing Arctic ecosystems: resilience of caribou to climatic shifts in the Arctic: U.S. Geological Survey Fact Sheet 2014-3103, 2 p., https://doi.org/10.3133/fs20143103.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-059331","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":295502,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143103.JPG"},{"id":295487,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3103/"},{"id":295501,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3103/pdf/fs2014-3103.pdf"}],"country":"United States","state":"Alaska","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54461606e4b0f888a81b7f01","contributors":{"authors":[{"text":"Gustine, David D. dgustine@usgs.gov","contributorId":3776,"corporation":false,"usgs":true,"family":"Gustine","given":"David","email":"dgustine@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":502877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Layne G. 0000-0001-6212-2896 ladams@usgs.gov","orcid":"https://orcid.org/0000-0001-6212-2896","contributorId":2776,"corporation":false,"usgs":true,"family":"Adams","given":"Layne G.","email":"ladams@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":502876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whalen, Mary E. 0000-0003-2820-5158 mwhalen@usgs.gov","orcid":"https://orcid.org/0000-0003-2820-5158","contributorId":203717,"corporation":false,"usgs":true,"family":"Whalen","given":"Mary","email":"mwhalen@usgs.gov","middleInitial":"E.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":502875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearce, John M. 0000-0002-8503-5485 jpearce@usgs.gov","orcid":"https://orcid.org/0000-0002-8503-5485","contributorId":181766,"corporation":false,"usgs":true,"family":"Pearce","given":"John","email":"jpearce@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":502878,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70129645,"text":"70129645 - 2014 - The story of invasive algae, arginine, and turtle tumors does not make sense","interactions":[],"lastModifiedDate":"2017-05-08T12:00:20","indexId":"70129645","displayToPublicDate":"2014-10-20T13:37:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5387,"text":"PeerJ Preprints","active":true,"publicationSubtype":{"id":10}},"title":"The story of invasive algae, arginine, and turtle tumors does not make sense","docAbstract":"<p>We are presenting a rebuttal letter to the following article that appeared recently on PeerJ: Van Houtan KS, Smith CM, Dailer ML, and Kawachi M. 2014. Eutrophication and the dietary promotion of sea turtle tumors. PeerJ 2:e602. This article is available at the following URL: https://peerj.com/articles/602/. We argue that the article lacks an inferential framework to answer the complex question regarding the drivers of the turtle tumor disease fibropapillomatosis in Hawaii. The article also contains procedural flaws and does not provide any compelling evidence of a link between algae, arginine, and turtle tumors.</p>","language":"English","publisher":"PeerJ","publisherLocation":"Corte Madera, CA","doi":"10.7287/peerj.preprints.539v1","usgsCitation":"Work, T.M., Ackermann, M., Casey, J., Chaloupka, M., Herbst, L., Lynch, J.M., and Stacy, B.A., 2014, The story of invasive algae, arginine, and turtle tumors does not make sense: PeerJ Preprints, Article 2:e539v1; 4 p., https://doi.org/10.7287/peerj.preprints.539v1.","productDescription":"Article 2:e539v1; 4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":472689,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.7287/peerj.preprints.539v1","text":"External Repository"},{"id":295735,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"544b6a32e4b03653c63fb1eb","contributors":{"authors":[{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":503932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackermann, Mathias","contributorId":67030,"corporation":false,"usgs":true,"family":"Ackermann","given":"Mathias","affiliations":[],"preferred":false,"id":503935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casey, James W.","contributorId":103606,"corporation":false,"usgs":true,"family":"Casey","given":"James W.","affiliations":[],"preferred":false,"id":503938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chaloupka, Milani","contributorId":96617,"corporation":false,"usgs":true,"family":"Chaloupka","given":"Milani","email":"","affiliations":[],"preferred":false,"id":503937,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herbst, Lawrence","contributorId":32856,"corporation":false,"usgs":true,"family":"Herbst","given":"Lawrence","email":"","affiliations":[],"preferred":false,"id":503933,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lynch, Jennifer M.","contributorId":58212,"corporation":false,"usgs":true,"family":"Lynch","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":503934,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stacy, Brian A.","contributorId":74698,"corporation":false,"usgs":true,"family":"Stacy","given":"Brian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":503936,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70131477,"text":"70131477 - 2014 - Hyporheic flow and transport processes: mechanisms, models, and biogeochemical implications","interactions":[],"lastModifiedDate":"2015-02-02T14:38:01","indexId":"70131477","displayToPublicDate":"2014-10-20T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Hyporheic flow and transport processes: mechanisms, models, and biogeochemical implications","docAbstract":"<p>Fifty years of hyporheic zone research have shown the important role played by the hyporheic zone as an interface between groundwater and surface waters. However, it is only in the last two decades that what began as an empirical science has become a mechanistic science devoted to modeling studies of the complex fluid dynamical and biogeochemical mechanisms occurring in the hyporheic zone. These efforts have led to the picture of surface-subsurface water interactions as regulators of the form and function of fluvial ecosystems. Rather than being isolated systems, surface water bodies continuously interact with the subsurface. Exploration of hyporheic zone processes has led to a new appreciation of their wide reaching consequences for water quality and stream ecology. Modern research aims toward a unified approach, in which processes occurring in the hyporheic zone are key elements for the appreciation, management, and restoration of the whole river environment. In this unifying context, this review summarizes results from modeling studies and field observations about flow and transport processes in the hyporheic zone and describes the theories proposed in hydrology and fluid dynamics developed to quantitatively model and predict the hyporheic transport of water, heat, and dissolved and suspended compounds from sediment grain scale up to the watershed scale. The implications of these processes for stream biogeochemistry and ecology are also discussed.\"</p>","language":"English","publisher":"Wiley","doi":"10.1002/2012RG000417","usgsCitation":"Boano, F., Harvey, J.W., Marion, A., Packman, A.I., Revelli, R., Ridolfi, L., and Anders, W., 2014, Hyporheic flow and transport processes: mechanisms, models, and biogeochemical implications: Reviews of Geophysics, v. 52, no. 4, p. 603-679, https://doi.org/10.1002/2012RG000417.","productDescription":"77 p.","startPage":"603","endPage":"679","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055545","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":296110,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-10-20","publicationStatus":"PW","scienceBaseUri":"546727b9e4b04d4b7dbde860","chorus":{"doi":"10.1002/2012rg000417","url":"http://dx.doi.org/10.1002/2012rg000417","publisher":"Wiley-Blackwell","authors":"Boano F., Harvey J. W., Marion A., Packman A. I., Revelli R., Ridolfi L., Wörman A.","journalName":"Reviews of Geophysics","publicationDate":"10/20/2014","auditedOn":"7/27/2015"},"contributors":{"authors":[{"text":"Boano, Fulvio","contributorId":124515,"corporation":false,"usgs":false,"family":"Boano","given":"Fulvio","email":"","affiliations":[{"id":5039,"text":"Department of Environment, Land, and Infrastructure Engineering, Politecnico di Torino, Torino, Italy","active":true,"usgs":false}],"preferred":false,"id":521224,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":521223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marion, Andrea","contributorId":124516,"corporation":false,"usgs":false,"family":"Marion","given":"Andrea","email":"","affiliations":[{"id":5040,"text":"Department of Industrial Engineering, University of Padua, Padova, Italy","active":true,"usgs":false}],"preferred":false,"id":521225,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Packman, Aaron I.","contributorId":124517,"corporation":false,"usgs":false,"family":"Packman","given":"Aaron","email":"","middleInitial":"I.","affiliations":[{"id":5041,"text":"Department of Civil and Environmental Engineering, Northwestern University, Evanston, Illinois, USA","active":true,"usgs":false}],"preferred":false,"id":521226,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Revelli, Roberto","contributorId":124518,"corporation":false,"usgs":false,"family":"Revelli","given":"Roberto","email":"","affiliations":[{"id":5039,"text":"Department of Environment, Land, and Infrastructure Engineering, Politecnico di Torino, Torino, Italy","active":true,"usgs":false}],"preferred":false,"id":521227,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ridolfi, Luca","contributorId":124519,"corporation":false,"usgs":false,"family":"Ridolfi","given":"Luca","email":"","affiliations":[{"id":5039,"text":"Department of Environment, Land, and Infrastructure Engineering, Politecnico di Torino, Torino, Italy","active":true,"usgs":false}],"preferred":false,"id":521228,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Anders, Worman","contributorId":124520,"corporation":false,"usgs":false,"family":"Anders","given":"Worman","email":"","affiliations":[{"id":5042,"text":"Division of River Engineering, Institute of Land and Water Resources Engineering, Royal Institute of Technology, Stockholm, Sweden","active":true,"usgs":false}],"preferred":false,"id":521229,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70168351,"text":"70168351 - 2014 - Potential population and assemblage influences of non-native trout on native nongame fish in Nebraska headwater streams","interactions":[],"lastModifiedDate":"2016-02-16T15:56:56","indexId":"70168351","displayToPublicDate":"2014-10-20T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Potential population and assemblage influences of non-native trout on native nongame fish in Nebraska headwater streams","docAbstract":"<p><span>Non-native trout are currently stocked to support recreational fisheries in headwater streams throughout Nebraska. The influence of non-native trout introductions on native fish populations and their role in structuring fish assemblages in these systems is unknown. The objectives of this study were to determine (i) if the size structure or relative abundance of native fish differs in the presence and absence of non-native trout, (ii) if native fish-assemblage structure differs in the presence and absence of non-native trout and (iii) if native fish-assemblage structure differs across a gradient in abundances of non-native trout. Longnose dace&nbsp;</span><i>Rhinichthys cataractae</i><span>&nbsp;were larger in the presence of brown trout&nbsp;</span><i>Salmo trutta</i><span>&nbsp;and smaller in the presence of rainbow trout&nbsp;</span><i>Oncorhynchus mykiss</i><span>&nbsp;compared to sites without trout. There was also a greater proportion of larger white suckers&nbsp;</span><i>Catostomus commersonii</i><span>&nbsp;in the presence of brown trout. Creek chub&nbsp;</span><i>Semotilus atromaculatus</i><span>&nbsp;and fathead minnow&nbsp;</span><i>Pimephales promelas</i><span>&nbsp;size structures were similar in the presence and absence of trout. Relative abundances of longnose dace, white sucker, creek chub and fathead minnow were similar in the presence and absence of trout, but there was greater distinction in native fish-assemblage structure between sites with trout compared to sites without trout as trout abundances increased. These results suggest increased risk to native fish assemblages in sites with high abundances of trout. However, more research is needed to determine the role of non-native trout in structuring native fish assemblages in streams, and the mechanisms through which introduced trout may influence native fish populations.</span></p>","language":"English","publisher":"Munksgaard","publisherLocation":"Copenhagen, Denmark","doi":"10.1111/eff.12194","usgsCitation":"Turek, K.C., Pegg, M.A., Pope, K.L., and Schainost, S., 2014, Potential population and assemblage influences of non-native trout on native nongame fish in Nebraska headwater streams: Ecology of Freshwater Fish, v. 25, no. 1, p. 99-108, https://doi.org/10.1111/eff.12194.","productDescription":"10 p.","startPage":"99","endPage":"108","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056720","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":318086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.0625,\n              43.004647127794435\n            ],\n            [\n              -98.54736328125,\n              42.97250158602597\n            ],\n            [\n              -98.02001953125,\n              42.73087427928485\n            ],\n            [\n              -97.66845703124999,\n              42.71473218539458\n            ],\n            [\n              -97.1630859375,\n              42.69858589169842\n            ],\n            [\n              -96.74560546875,\n              42.52069952914966\n            ],\n            [\n              -96.416015625,\n              42.32606244456202\n            ],\n            [\n              -96.30615234375,\n              42.147114459221015\n            ],\n            [\n              -96.13037109375,\n              41.77131167976407\n            ],\n            [\n              -102.0849609375,\n              41.02964338716638\n            ],\n            [\n              -102.919921875,\n              41.21172151054787\n            ],\n            [\n              -104.04052734375,\n              41.64007838467894\n            ],\n            [\n              -104.0625,\n              43.004647127794435\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-20","publicationStatus":"PW","scienceBaseUri":"56c45653e4b0946c6521859e","chorus":{"doi":"10.1111/eff.12194","url":"http://dx.doi.org/10.1111/eff.12194","publisher":"Wiley-Blackwell","authors":"Turek Kelly C., Pegg Mark A., Pope Kevin L., Schainost Steve","journalName":"Ecology of Freshwater Fish","publicationDate":"10/20/2014"},"contributors":{"authors":[{"text":"Turek, Kelly C.","contributorId":7603,"corporation":false,"usgs":true,"family":"Turek","given":"Kelly","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":619791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pegg, Mark A.","contributorId":45212,"corporation":false,"usgs":true,"family":"Pegg","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":620589,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":620590,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schainost, Steve","contributorId":166965,"corporation":false,"usgs":false,"family":"Schainost","given":"Steve","email":"","affiliations":[{"id":17640,"text":"Nebraska Game and Parks Commission","active":true,"usgs":false}],"preferred":false,"id":620591,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70129169,"text":"70129169 - 2014 - Editors are editors, not oracles","interactions":[],"lastModifiedDate":"2018-04-02T16:44:19","indexId":"70129169","displayToPublicDate":"2014-10-17T15:41:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1121,"text":"Bulletin of the Ecological Society of America","active":true,"publicationSubtype":{"id":10}},"title":"Editors are editors, not oracles","docAbstract":"<p><span>Farji-Brener and Kitzberger (2014; hereafter FBK) resurrect the issues of Farji-Brener (2007) concerning manuscripts that are submitted to journals but that are not sent out for peer review: a process we call “reject following editorial review” (RFER). We thank FBK for reviving discussion about this important topic as new challenges, including new publication outlets, peer-review models, and an increasingly complex and voluminous scientific literature, are emerging across the publication</span> <span>landscape. While we disagree with FBK's perspective and conclusions, we recognize that this discussion can help to improve editorial and publication processes, and we welcome the opportunity to inform the ecological community about the current status of editorial practice at ESA journals.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/0012-9623-95.4.342","usgsCitation":"Schimel, D., Strong, D., Ellison, A., Peters, D.P., Silver, S., Johnson, E.A., Belnap, J., Classen, A.T., Essington, T.E., Finley, A.O., Inouye, B.D., and Stanley, E.H., 2014, Editors are editors, not oracles: Bulletin of the Ecological Society of America, v. 95, no. 4, p. 342-346, https://doi.org/10.1890/0012-9623-95.4.342.","productDescription":"5 p.","startPage":"342","endPage":"346","ipdsId":"IP-058838","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":472690,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/0012-9623-95.4.342","text":"Publisher Index Page"},{"id":295472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54422185e4b0192a5a42f3bd","contributors":{"authors":[{"text":"Schimel, Dave","contributorId":34069,"corporation":false,"usgs":true,"family":"Schimel","given":"Dave","email":"","affiliations":[],"preferred":false,"id":503491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strong, Donald R.","contributorId":17933,"corporation":false,"usgs":true,"family":"Strong","given":"Donald R.","affiliations":[],"preferred":false,"id":503490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellison, Aaron M.","contributorId":94996,"corporation":false,"usgs":true,"family":"Ellison","given":"Aaron M.","affiliations":[],"preferred":false,"id":503498,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peters, Debra P. C.","contributorId":42903,"corporation":false,"usgs":true,"family":"Peters","given":"Debra","email":"","middleInitial":"P. C.","affiliations":[],"preferred":false,"id":503494,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Silver, Sue","contributorId":40145,"corporation":false,"usgs":true,"family":"Silver","given":"Sue","email":"","affiliations":[],"preferred":false,"id":503493,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Edward A. ejohnson@usgs.gov","contributorId":50836,"corporation":false,"usgs":true,"family":"Johnson","given":"Edward","email":"ejohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":503495,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":503489,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Classen, Aimee T.","contributorId":55366,"corporation":false,"usgs":true,"family":"Classen","given":"Aimee","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":503496,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Essington, Timothy E.","contributorId":95826,"corporation":false,"usgs":false,"family":"Essington","given":"Timothy","email":"","middleInitial":"E.","affiliations":[{"id":13190,"text":"School of Aquatic and Fishery Sciences, University of Washington","active":true,"usgs":false}],"preferred":false,"id":503500,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Finley, Andrew O.","contributorId":39310,"corporation":false,"usgs":true,"family":"Finley","given":"Andrew","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":503492,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Inouye, Brian D.","contributorId":95409,"corporation":false,"usgs":true,"family":"Inouye","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":503499,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Stanley, Emily H.","contributorId":55725,"corporation":false,"usgs":false,"family":"Stanley","given":"Emily","email":"","middleInitial":"H.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":503497,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70129159,"text":"70129159 - 2014 - Formation of fine sediment deposit from a flash flood river in the Mediterranean Sea","interactions":[],"lastModifiedDate":"2014-10-17T13:44:20","indexId":"70129159","displayToPublicDate":"2014-10-17T13:39:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2321,"text":"Journal of Geophysical Research: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Formation of fine sediment deposit from a flash flood river in the Mediterranean Sea","docAbstract":"We identify the mechanisms controlling fine deposits on the inner-shelf in front of the Besòs River, in the northwestern Mediterranean Sea. This river is characterized by a flash flood regime discharging large amounts of water (more than 20 times the mean water discharge) and sediment in very short periods lasting from hours to few days. Numerical model output was compared with bottom sediment observations and used to characterize the multiple spatial and temporal scales involved in offshore sediment deposit formation. A high-resolution (50 m grid size) coupled hydrodynamic-wave-sediment transport model was applied to the initial stages of the sediment dispersal after a storm-related flood event. After the flood, sediment accumulation was predominantly confined to an area near the coastline as a result of preferential deposition during the final stage of the storm. Subsequent reworking occurred due to wave-induced bottom shear stress that resuspended fine materials, with seaward flow exporting them toward the midshelf. Wave characteristics, sediment availability, and shelf circulation determined the transport after the reworking and the final sediment deposition location. One year simulations of the regional area revealed a prevalent southwestward average flow with increased intensity downstream. The circulation pattern was consistent with the observed fine deposit depocenter being shifted southward from the river mouth. At the southern edge, bathymetry controlled the fine deposition by inducing near-bottom flow convergence enhancing bottom shear stress. According to the short-term and long-term analyses, a seasonal pattern in the fine deposit formation is expected.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research: Oceans","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014JC010187","usgsCitation":"Grifoll, M., Gracia, V., Aretxabaleta, A.L., Guillen, J., Espino, M., and Warner, J., 2014, Formation of fine sediment deposit from a flash flood river in the Mediterranean Sea: Journal of Geophysical Research: Oceans, v. 119, no. 9, p. 5837-5853, https://doi.org/10.1002/2014JC010187.","productDescription":"17 p.","startPage":"5837","endPage":"5853","numberOfPages":"17","ipdsId":"IP-058276","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472691,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014jc010187","text":"Publisher Index Page"},{"id":295463,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295462,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2014JC010187"}],"otherGeospatial":"Besòs River, Mediterranean Sea","volume":"119","issue":"9","noUsgsAuthors":false,"publicationDate":"2014-09-09","publicationStatus":"PW","scienceBaseUri":"5442218ce4b0192a5a42f3c1","contributors":{"authors":[{"text":"Grifoll, Manel","contributorId":21884,"corporation":false,"usgs":true,"family":"Grifoll","given":"Manel","email":"","affiliations":[],"preferred":false,"id":503472,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gracia, Vicenc","contributorId":85107,"corporation":false,"usgs":true,"family":"Gracia","given":"Vicenc","email":"","affiliations":[],"preferred":false,"id":503475,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aretxabaleta, Alfredo L. 0000-0002-9914-8018 aaretxabaleta@usgs.gov","orcid":"https://orcid.org/0000-0002-9914-8018","contributorId":5464,"corporation":false,"usgs":true,"family":"Aretxabaleta","given":"Alfredo","email":"aaretxabaleta@usgs.gov","middleInitial":"L.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":503471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guillen, Jorge","contributorId":76671,"corporation":false,"usgs":true,"family":"Guillen","given":"Jorge","email":"","affiliations":[],"preferred":false,"id":503474,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Espino, Manuel","contributorId":34843,"corporation":false,"usgs":true,"family":"Espino","given":"Manuel","email":"","affiliations":[],"preferred":false,"id":503473,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":503470,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70129160,"text":"70129160 - 2014 - Evidence for seasonal patterns in the relative abundance of avian influenza virus subtypes in blue-winged teal (Anas discors)","interactions":[],"lastModifiedDate":"2018-09-04T16:37:19","indexId":"70129160","displayToPublicDate":"2014-10-17T13:19:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Evidence for seasonal patterns in the relative abundance of avian influenza virus subtypes in blue-winged teal (<i>Anas discors</i>)","title":"Evidence for seasonal patterns in the relative abundance of avian influenza virus subtypes in blue-winged teal (Anas discors)","docAbstract":"Seasonal dynamics of influenza A viruses (IAVs) are driven by host density and population immunity. Through an analysis of subtypic data for IAVs isolated from Blue-winged Teal (<i>Anas discors</i>), we present evidence for seasonal patterns in the relative abundance of viral subtypes in spring and summer/autumn.","language":"English","publisher":"Wildlife Disease Association","publisherLocation":"Ames, IA","doi":"10.7589/2013-09-232","usgsCitation":"Ramey, A.M., Poulson, R.L., González-Reiche, A., Wilcox, B.R., Walther, P., Link, P., Carter, D.L., Newsome, G.M., Muller, M.L., Berghaus, R.D., Perez, D.R., Hall, J.S., and Stallknecht, D.E., 2014, Evidence for seasonal patterns in the relative abundance of avian influenza virus subtypes in blue-winged teal (Anas discors): Journal of Wildlife Diseases, v. 50, no. 4, p. 916-922, https://doi.org/10.7589/2013-09-232.","productDescription":"7 p.","startPage":"916","endPage":"922","numberOfPages":"7","ipdsId":"IP-050911","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":295461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295459,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.7589/2013-09-232"}],"country":"Canada, Guatemala, United States","volume":"50","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5442218be4b0192a5a42f3bf","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":503481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poulson, Rebecca L.","contributorId":68669,"corporation":false,"usgs":true,"family":"Poulson","given":"Rebecca","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":503486,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"González-Reiche, Ana S.","contributorId":19497,"corporation":false,"usgs":true,"family":"González-Reiche","given":"Ana S.","affiliations":[],"preferred":false,"id":503479,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilcox, Benjamin R.","contributorId":15542,"corporation":false,"usgs":false,"family":"Wilcox","given":"Benjamin","email":"","middleInitial":"R.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":503478,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walther, Patrick","contributorId":42153,"corporation":false,"usgs":true,"family":"Walther","given":"Patrick","affiliations":[],"preferred":false,"id":503482,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Link, Paul","contributorId":22707,"corporation":false,"usgs":true,"family":"Link","given":"Paul","affiliations":[],"preferred":false,"id":503480,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carter, Deborah L.","contributorId":87473,"corporation":false,"usgs":true,"family":"Carter","given":"Deborah","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":503488,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Newsome, George M.","contributorId":47311,"corporation":false,"usgs":true,"family":"Newsome","given":"George","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":503483,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Muller, Maria L.","contributorId":71911,"corporation":false,"usgs":true,"family":"Muller","given":"Maria","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":503487,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Berghaus, Roy D.","contributorId":47312,"corporation":false,"usgs":true,"family":"Berghaus","given":"Roy","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":503484,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Perez, Daniel R.","contributorId":58208,"corporation":false,"usgs":true,"family":"Perez","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":503485,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hall, Jeffrey S. 0000-0001-5599-2826 jshall@usgs.gov","orcid":"https://orcid.org/0000-0001-5599-2826","contributorId":2254,"corporation":false,"usgs":true,"family":"Hall","given":"Jeffrey","email":"jshall@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":503476,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stallknecht, David E.","contributorId":14323,"corporation":false,"usgs":false,"family":"Stallknecht","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":503477,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70129111,"text":"70129111 - 2014 - Radiocarbon age-offsets in an arctic lake reveal the long-term response of permafrost carbon to climate change","interactions":[],"lastModifiedDate":"2014-10-17T11:42:59","indexId":"70129111","displayToPublicDate":"2014-10-17T11:33:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Radiocarbon age-offsets in an arctic lake reveal the long-term response of permafrost carbon to climate change","docAbstract":"Continued warming of the Arctic may cause permafrost to thaw and speed the decomposition of large stores of soil organic carbon (OC), thereby accentuating global warming. However, it is unclear if recent warming has raised the current rates of permafrost OC release to anomalous levels or to what extent soil carbon release is sensitive to climate forcing. Here we use a time series of radiocarbon age-offsets (<sup>14</sup>C) between the bulk lake sediment and plant macrofossils deposited in an arctic lake as an archive for soil and permafrost OC release over the last 14,500 years. The lake traps and archives OC imported from the watershed and allows us to test whether prior warming events stimulated old carbon release and heightened age-offsets. Today, the age-offset (2 ka; thousand of calibrated years before A.D. 1950) and the depositional rate of ancient OC from the watershed into the lake are relatively low and similar to those during the Younger Dryas cold interval (occurring 12.9–11.7 ka). In contrast, age-offsets were higher (3.0–5.0 ka) when summer air temperatures were warmer than present during the Holocene Thermal Maximum (11.7–9.0 ka) and Bølling-Allerød periods (14.5–12.9 ka). During these warm times, permafrost thaw contributed to ancient OC depositional rates that were ~10 times greater than today. Although permafrost OC was vulnerable to climate warming in the past, we suggest surface soil organic horizons and peat are presently limiting summer thaw and carbon release. As a result, the temperature threshold to trigger widespread permafrost OC release is higher than during previous warming events.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research: Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014JG002688","usgsCitation":"Gaglioti, B.V., Mann, D., Jones, B.M., Pohlman, J., Kunz, M.L., and Wooller, M.J., 2014, Radiocarbon age-offsets in an arctic lake reveal the long-term response of permafrost carbon to climate change: Journal of Geophysical Research: Biogeosciences, v. 119, no. 8, p. 1630-1651, https://doi.org/10.1002/2014JG002688.","productDescription":"22 p.","startPage":"1630","endPage":"1651","numberOfPages":"22","ipdsId":"IP-056287","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":472692,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014jg002688","text":"Publisher Index Page"},{"id":295454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295450,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2014JG002688"}],"country":"United States","state":"Alaska","volume":"119","issue":"8","noUsgsAuthors":false,"publicationDate":"2014-08-22","publicationStatus":"PW","scienceBaseUri":"5442218ce4b0192a5a42f3c3","contributors":{"authors":[{"text":"Gaglioti, Benjamin V. 0000-0003-0591-5253 bgaglioti@usgs.gov","orcid":"https://orcid.org/0000-0003-0591-5253","contributorId":4521,"corporation":false,"usgs":true,"family":"Gaglioti","given":"Benjamin","email":"bgaglioti@usgs.gov","middleInitial":"V.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":503434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mann, Daniel H.","contributorId":97441,"corporation":false,"usgs":true,"family":"Mann","given":"Daniel H.","affiliations":[],"preferred":false,"id":503438,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":503433,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pohlman, John W.","contributorId":7642,"corporation":false,"usgs":true,"family":"Pohlman","given":"John W.","affiliations":[],"preferred":false,"id":503435,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kunz, Michael L.","contributorId":42157,"corporation":false,"usgs":true,"family":"Kunz","given":"Michael","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":503436,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wooller, Matthew J.","contributorId":81039,"corporation":false,"usgs":true,"family":"Wooller","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":503437,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70129102,"text":"70129102 - 2014 - Spatio-temporal analysis of gyres in oriented lakes on the Arctic Coastal Plain of northern Alaska based on remotely sensed images","interactions":[],"lastModifiedDate":"2014-10-17T10:33:42","indexId":"70129102","displayToPublicDate":"2014-10-17T10:23:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Spatio-temporal analysis of gyres in oriented lakes on the Arctic Coastal Plain of northern Alaska based on remotely sensed images","docAbstract":"The formation of oriented thermokarst lakes on the Arctic Coastal Plain of northern Alaska has been the subject of debate for more than half a century. The striking elongation of the lakes perpendicular to the prevailing wind direction has led to the development of a preferred wind-generated gyre hypothesis, while other hypotheses include a combination of sun angle, topographic aspect, and/or antecedent conditions. A spatio-temporal analysis of oriented thermokarst lake gyres with recent (Landsat 8) and historical (Landsat 4, 5, 7 and ASTER) satellite imagery of the Arctic Coastal Plain of northern Alaska indicates that wind-generated gyres are both frequent and regionally extensive. Gyres are most common in lakes located near the Arctic coast after several days of sustained winds from a single direction, typically the northeast, and decrease in number landward with decreasing wind energy. This analysis indicates that the conditions necessary for the Carson and Hussey (1962) wind-generated gyre for oriented thermokarst lake formation are common temporally and regionally and correspond spatially with the geographic distribution of oriented lakes on the Arctic Coastal Plain. Given an increase in the ice-free season for lakes as well as strengthening of the wind regime, the frequency and distribution of lake gyres may increase. This increase has implications for changes in northern high latitude aquatic ecosystems, particularly if wind-generated gyres promote permafrost degradation and thermokarst lake expansion.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"MDPI AG","publisherLocation":"Basel, Switzerland","doi":"10.3390/rs6109170","usgsCitation":"Zhan, S., Beck, R.A., Hinkel, K., Liu, H., and Jones, B.M., 2014, Spatio-temporal analysis of gyres in oriented lakes on the Arctic Coastal Plain of northern Alaska based on remotely sensed images: Remote Sensing, v. 6, no. 10, p. 9170-9193, https://doi.org/10.3390/rs6109170.","productDescription":"24 p.","startPage":"9170","endPage":"9193","numberOfPages":"24","ipdsId":"IP-058095","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":472693,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs6109170","text":"Publisher Index Page"},{"id":295445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295441,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/rs6109170"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic Coastal Plain","volume":"6","issue":"10","noUsgsAuthors":false,"publicationDate":"2014-09-26","publicationStatus":"PW","scienceBaseUri":"5442218ce4b0192a5a42f3c5","contributors":{"authors":[{"text":"Zhan, Shengan","contributorId":83855,"corporation":false,"usgs":true,"family":"Zhan","given":"Shengan","email":"","affiliations":[],"preferred":false,"id":503432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beck, Richard A.","contributorId":70316,"corporation":false,"usgs":true,"family":"Beck","given":"Richard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":503431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hinkel, Kenneth M.","contributorId":64170,"corporation":false,"usgs":true,"family":"Hinkel","given":"Kenneth M.","affiliations":[],"preferred":false,"id":503430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Hongxing","contributorId":38075,"corporation":false,"usgs":true,"family":"Liu","given":"Hongxing","email":"","affiliations":[],"preferred":false,"id":503429,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":503428,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70126210,"text":"ds882 - 2014 - Water temperature differences by plant community and location in re-established wetlands in the Sacramento-San Joaquin Delta, California, July 2005 to February 2008","interactions":[],"lastModifiedDate":"2014-10-17T08:14:08","indexId":"ds882","displayToPublicDate":"2014-10-16T16:44:00","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":"882","title":"Water temperature differences by plant community and location in re-established wetlands in the Sacramento-San Joaquin Delta, California, July 2005 to February 2008","docAbstract":"<p>Rates of carbon storage in wetlands are determined by the balance of its inputs and losses, both of which are affected by environmental factors such as water temperature and depth. In the autumn of 1997, the U.S. Geological Survey re-established two wetlands with different shallow water depths—about 25 and 55 centimeters deep—to investigate the potential to reverse subsidence of delta islands by preserving and accumulating organic substrates derived from plant biomass inputs over time. Because cooler water temperatures can slow decomposition rates and increase accretion of plant biomass, water temperature was recorded from July 2005 to February 2008 in the deeper of the two wetlands, where areas of emergent and submerged vegetation persisted throughout the study, to assess differences in water temperature between the two vegetation types. Water temperature was compared at three depths in the water column between areas of emergent and submerged vegetation and between areas near the water inflow and in the wetland interior in both vegetation types. The latter comparison was a way of evaluating the effect of the length of time water had resided in the wetland on water temperatures.</p>\n<br/>\n<p>There were statistically significant differences in water temperature at all depths between the two vegetation types. Overall, in areas of emergent marsh vegetation, the mean water temperature at the surface was 1.4 degrees Celsius (°C) less than it was in areas of submerged vegetation; however, when analyses accounted for the changes in temperature due to seasonal and diurnal cycles, differences in the mean water temperature between the vegetation types were even greater than this. For example, in the spring, the mean temperatures in areas of emergent marsh vegetation at the surface, mid-point, and near the sediment in the water column were 2.0, 2.3, and 2.1 °C less, respectively, than water temperatures in areas of submerged vegetation. When diurnal changes in temperature were accounted for by comparing temperatures in mid-afternoon (at 3 p.m.), water-temperature differences were even greater than the seasonal means indicated. In areas of emergent vegetation, the mean temperatures were cooler than temperatures in areas of submerged vegetation at the surface, the mid-point, and near the sediment in the water column by 3.9, 3.6, and 2.3 °C, respectively. Furthermore, from July 2005 through December 2006, water temperatures at the surface in the interior of the wetland were significantly cooler than in areas near the inflow supplying water from the San Joaquin River by 1.0 °C in areas of submerged vegetation and by 1.1 °C in areas of emergent vegetation.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds882","collaboration":"Prepared in cooperation with the California Department of Water Resources","usgsCitation":"Crepeau, K.L., and Miller, R., 2014, Water temperature differences by plant community and location in re-established wetlands in the Sacramento-San Joaquin Delta, California, July 2005 to February 2008: U.S. Geological Survey Data Series 882, Report: vi, 20 p.; 1 Appendix, https://doi.org/10.3133/ds882.","productDescription":"Report: vi, 20 p.; 1 Appendix","numberOfPages":"30","onlineOnly":"Y","temporalStart":"2005-07-01","temporalEnd":"2008-02-29","ipdsId":"IP-036902","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":295440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds882.jpg"},{"id":295437,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0882/"},{"id":295438,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0882/pdf/ds882.pdf"},{"id":295439,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0882/downloads/ds882_appendix01.xlsx"}],"projection":"Albers Equal-Area Conic projection","datum":"North American Datum of 1983","country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5440d007e4b0b0a643c7329c","contributors":{"authors":[{"text":"Crepeau, Kathryn L. kcrepeau@usgs.gov","contributorId":3943,"corporation":false,"usgs":true,"family":"Crepeau","given":"Kathryn","email":"kcrepeau@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":501933,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Robin L. romiller@usgs.gov","contributorId":887,"corporation":false,"usgs":true,"family":"Miller","given":"Robin L.","email":"romiller@usgs.gov","affiliations":[],"preferred":true,"id":501932,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70122402,"text":"sir20145155 - 2014 - Water chemistry, seepage investigation, streamflow, reservoir storage, and annual availability of water for the San Juan-Chama Project, northern New Mexico, 1942-2010","interactions":[],"lastModifiedDate":"2014-10-16T13:14:25","indexId":"sir20145155","displayToPublicDate":"2014-10-16T13:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5155","title":"Water chemistry, seepage investigation, streamflow, reservoir storage, and annual availability of water for the San Juan-Chama Project, northern New Mexico, 1942-2010","docAbstract":"<p>The Albuquerque Bernalillo County Water Utility Authority supplements the municipal water supply for the Albuquerque metropolitan area, in central New Mexico, with surface water diverted from the Rio Grande. The U.S. Geological Survey, in cooperation with the Albuquerque Bernalillo County Water Utility Authority, undertook this study in which water-chemistry data and historical streamflow were compiled and new water-chemistry data were collected to characterize the water chemistry and streamflow of the San Juan-Chama Project (SJCP). Characterization of streamflow included analysis of the variability of annual streamflow and comparison of the theoretical amount of water that could have been diverted into the SJCP to the actual amount of water that was diverted for the SJCP. Additionally, a seepage investigation was conducted along the channel between Azotea Tunnel Outlet and the streamflow-gaging station at Willow Creek above Heron Reservoir to estimate the magnitude of the gain or loss in streamflow resulting from groundwater interaction over the approximately 10-mile reach.</p>\n<br/>\n<p>Generally, surface-water chemistry varied with streamflow throughout the year. Streamflow ranged from high flow to low flow on the basis of the quantity of water diverted from the Rio Blanco, Little Navajo River, and Navajo River for the SJCP. Vertical profiles of the water temperature over the depth of the water column at Heron Reservoir indicated that the reservoir is seasonally stratified. The results from the seepage investigations indicated a small amount of loss of streamflow along the channel.</p>\n<br/>\n<p>Annual variability in streamflow for the SJCP was an indication of the variation in the climate parameters that interact to contribute to streamflow in the Rio Blanco, Little Navajo River, Navajo River, and Willow Creek watersheds. For most years, streamflow at Azotea Tunnel Outlet started in March and continued for approximately 3 months until the middle of July. The majority of annual streamflow at Azotea Tunnel Outlet occurred from May through June, with a median duration of slightly longer than a month. Years with higher maximum daily streamflow generally are associated with higher annual streamflow than years with lower maximum daily streamflow. The amount of water that can be diverted for the SJCP is controlled by the availability of streamflow and is limited by several factors including legal limits for diversion, limits from the SJCP infrastructure including the size of the diversion dams and tunnels, the capacity of Heron Reservoir, and operational constraints that limit when water can be diverted. The average annual streamflow at Azotea Tunnel Outlet was 94,710 acre-feet, and the annual streamflow at Azotea Tunnel Outlet was approximately 75 percent of the annual streamflow available for the SJCP. The average annual percentage of available streamflow not diverted for the SJCP was 14 percent because of structural limitations of the capacity of infrastructure, 1 percent because of limitations of the reservoir storage capacity, and 29 percent because of the limitations from operations. For most years, the annual available streamflow not diverted for unknown reasons exceeded the sum of the water not diverted because of structural, capacity, and operational limitations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145155","collaboration":"Prepared in cooperation with Albuquerque Bernalillo County Water Utility Authority","usgsCitation":"McKean, S.E., and Anderholm, S.K., 2014, Water chemistry, seepage investigation, streamflow, reservoir storage, and annual availability of water for the San Juan-Chama Project, northern New Mexico, 1942-2010: U.S. Geological Survey Scientific Investigations Report 2014-5155, Report: viii, 52 p.; 1 Appendix, https://doi.org/10.3133/sir20145155.","productDescription":"Report: viii, 52 p.; 1 Appendix","numberOfPages":"63","ipdsId":"IP-045511","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":295409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145155.jpg"},{"id":295407,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5155/pdf/sir2014-5155.pdf"},{"id":295406,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5155/"},{"id":295408,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5155/downloads/sir2014-5155_appendix_1.xlsx"}],"datum":"North American Datum of 1983","country":"United States","state":"Colorado, New Mexico","otherGeospatial":"San Juan-Chama","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5440d006e4b0b0a643c7329a","contributors":{"authors":[{"text":"McKean, Sarah E.","contributorId":92604,"corporation":false,"usgs":true,"family":"McKean","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":499511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderholm, Scott K.","contributorId":69912,"corporation":false,"usgs":true,"family":"Anderholm","given":"Scott","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":499510,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70128987,"text":"70128987 - 2014 - Using surface creep rate to infer fraction locked for sections of the San Andreas fault system in northern California from alignment array and GPS data","interactions":[],"lastModifiedDate":"2014-12-12T15:01:45","indexId":"70128987","displayToPublicDate":"2014-10-16T10:23:00","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":"Using surface creep rate to infer fraction locked for sections of the San Andreas fault system in northern California from alignment array and GPS data","docAbstract":"<p>Surface creep rate, observed along five branches of the dextral San Andreas fault system in northern California, varies considerably from one section to the next, indicating that so too may the depth at which the faults are locked. We model locking on 29 fault sections using each section&rsquo;s mean long‐term creep rate and the consensus values of fault width and geologic slip rate. Surface creep rate observations from 111 short‐range alignment and trilateration arrays and 48 near‐fault, Global Positioning System station pairs are used to estimate depth of creep, assuming an elastic half‐space model and adjusting depth of creep iteratively by trial and error to match the creep observations along fault sections. Fault sections are delineated either by geometric discontinuities between them or by distinctly different creeping behaviors. We remove transient rate changes associated with five large (M&ge;5.5) regional earthquakes. Estimates of fraction locked, the ratio of moment accumulation rate to loading rate, on each section of the fault system provide a uniform means to inform source parameters relevant to seismic‐hazard assessment. From its mean creep rates, we infer the main branch (the San Andreas fault) ranges from only 20%&plusmn;10% locked on its central creeping section to 99%&ndash;100% on the north coast. From mean accumulation rates, we infer that four urban faults appear to have accumulated enough seismic moment to produce major earthquakes: the northern Calaveras (M 6.8), Hayward (M 6.8), Rodgers Creek (M 7.1), and Green Valley (M 7.1). The latter three faults are nearing or past their mean recurrence interval.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120140117","usgsCitation":"Lienkaemper, J.J., McFarland, F.S., Simpson, R.W., and Caskey, S., 2014, Using surface creep rate to infer fraction locked for sections of the San Andreas fault system in northern California from alignment array and GPS data: Bulletin of the Seismological Society of America, v. 104, no. 6, p. 3094-3114, https://doi.org/10.1785/0120140117.","productDescription":"21 p.","startPage":"3094","endPage":"3114","numberOfPages":"21","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056497","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":295379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295344,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120140117"}],"country":"United States","state":"California","otherGeospatial":"San Andreas fault system","volume":"104","issue":"6","noUsgsAuthors":false,"publicationDate":"2014-10-14","publicationStatus":"PW","scienceBaseUri":"5440d005e4b0b0a643c73298","contributors":{"authors":[{"text":"Lienkaemper, James J. 0000-0002-7578-7042 jlienk@usgs.gov","orcid":"https://orcid.org/0000-0002-7578-7042","contributorId":1941,"corporation":false,"usgs":true,"family":"Lienkaemper","given":"James","email":"jlienk@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":503253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McFarland, Forrest S.","contributorId":32104,"corporation":false,"usgs":true,"family":"McFarland","given":"Forrest","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":503255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simpson, Robert W. simpson@usgs.gov","contributorId":1053,"corporation":false,"usgs":true,"family":"Simpson","given":"Robert","email":"simpson@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":503252,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caskey, S. John","contributorId":21483,"corporation":false,"usgs":true,"family":"Caskey","given":"S. John","affiliations":[],"preferred":false,"id":503254,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}