The reassortment and geographic distribution of low pathogenic avian influenza (LPAI) virus genes are well documented, but little is known about the persistence of intact LPAI genomes among species and locations. To examine persistence of entire LPAI genome constellations in Alaska, we calculated the genetic identities among 161 full-genome LPAI viruses isolated across 4 years from five species of duck: northern pintail (Anas acuta), mallard (Anas platyrhynchos), American green-winged teal (Anas crecca), northern shoveler (Anas clypeata) and American wigeon (Anas americana). Based on pairwise genetic distance, highly similar LPAI genomes (>99% identity) were observed within and between species and across a range of geographic distances (up to and >1000 km), but most often between isolates collected 0–10 km apart. Highly similar viruses were detected between years, suggesting inter-annual persistence, but these were rare in our data set with the majority occurring within 0–9 days of sampling. These results identify LPAI transmission pathways in the context of species, space and time, an initial perspective into the extent of regional virus distribution and persistence, and insight into why no completely Eurasian genomes have ever been detected in Alaska. Such information will be useful in forecasting the movement of foreign-origin avian influenza strains should they be introduced to North America.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.meegid.2011.09.011","usgsCitation":"Reeves, A.B., Pearce, J.M., Ramey, A.M., Meixell, B.W., and Runstadler, J.A., 2011, Interspecies transmission and limited persistence of low pathogenic avian influenza genomes among Alaska dabbling ducks: Infection, Genetics and Evolution, v. 11, no. 8, p. 2004-2010, https://doi.org/10.1016/j.meegid.2011.09.011.","productDescription":"7 p.","startPage":"2004","endPage":"2010","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-027202","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":297265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"11","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2bd8e4b08de9379b3518","contributors":{"authors":[{"text":"Reeves, Andrew B. 0000-0002-7526-0726 areeves@usgs.gov","orcid":"https://orcid.org/0000-0002-7526-0726","contributorId":167362,"corporation":false,"usgs":true,"family":"Reeves","given":"Andrew","email":"areeves@usgs.gov","middleInitial":"B.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":538495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":538496,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":538497,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meixell, Brandt W. 0000-0002-6738-0349 bmeixell@usgs.gov","orcid":"https://orcid.org/0000-0002-6738-0349","contributorId":138716,"corporation":false,"usgs":true,"family":"Meixell","given":"Brandt","email":"bmeixell@usgs.gov","middleInitial":"W.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":538498,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Runstadler, Jonathan A.","contributorId":24706,"corporation":false,"usgs":false,"family":"Runstadler","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":538521,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192539,"text":"70192539 - 2011 - Female American Kestrel survives double amputation","interactions":[],"lastModifiedDate":"2017-10-26T12:10:49","indexId":"70192539","displayToPublicDate":"2011-12-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Female American Kestrel survives double amputation","docAbstract":"Free-ranging raptors are susceptible to a variety of injuries, many of which are sustained while pursuing and/or capturing live prey. Injuries hindering an individual’s ability to capture prey, such as partial blindness, damage to the bill, and foot or leg injuries, are debilitating and potentially life-threatening. However, there are ample observations in the literature of free-ranging raptors with eye (Bedrosian and St.Pierre 2007), bill (Strobel and Haralson-Strobel 2009) and foot and leg injuries (Blodget et al. 1990, Murza et al. 2000, Dwyer 2006, Bedrosian and St.Pierre 2007), suggesting that some individuals are able to compensate for their injuries if only partial functionality is lost (e.g., loss of only one eye). Reports of injuries resulting in the complete loss of functionality (e.g., loss of both eyes) are rare as individuals suffering such severe trauma presumably do not survive long. Here we report the capture on a bal-chatri trap of an American Kestrel (Falco sparverius; hereafter kestrel) with previous amputation of both legs
","language":"English","publisher":"The Raptor Research Foundation","doi":"10.3356/JRR-11-31.1","usgsCitation":"Skipper, B.R., and Boal, C.W., 2011, Female American Kestrel survives double amputation: Journal of Raptor Research, v. 45, no. 4, p. 374-375, https://doi.org/10.3356/JRR-11-31.1.","productDescription":"2 p.","startPage":"374","endPage":"375","ipdsId":"IP-029564","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":347460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07f338e4b09af898c8cdc7","contributors":{"authors":[{"text":"Skipper, Ben R.","contributorId":198462,"corporation":false,"usgs":false,"family":"Skipper","given":"Ben","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":716212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":716153,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70188328,"text":"70188328 - 2011 - Simulating the impacts of disturbances on forest carbon cycling in North America: Processes, data, models, and challenges","interactions":[],"lastModifiedDate":"2017-06-06T14:26:23","indexId":"70188328","displayToPublicDate":"2011-11-08T00:00:00","publicationYear":"2011","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":"Simulating the impacts of disturbances on forest carbon cycling in North America: Processes, data, models, and challenges","docAbstract":"Forest disturbances greatly alter the carbon cycle at various spatial and temporal scales. It is critical to understand disturbance regimes and their impacts to better quantify regional and global carbon dynamics. This review of the status and major challenges in representing the impacts of disturbances in modeling the carbon dynamics across North America revealed some major advances and challenges. First, significant advances have been made in representation, scaling, and characterization of disturbances that should be included in regional modeling efforts. Second, there is a need to develop effective and comprehensive process‐based procedures and algorithms to quantify the immediate and long‐term impacts of disturbances on ecosystem succession, soils, microclimate, and cycles of carbon, water, and nutrients. Third, our capability to simulate the occurrences and severity of disturbances is very limited. Fourth, scaling issues have rarely been addressed in continental scale model applications. It is not fully understood which finer scale processes and properties need to be scaled to coarser spatial and temporal scales. Fifth, there are inadequate databases on disturbances at the continental scale to support the quantification of their effects on the carbon balance in North America. Finally, procedures are needed to quantify the uncertainty of model inputs, model parameters, and model structures, and thus to estimate their impacts on overall model uncertainty. Working together, the scientific community interested in disturbance and its impacts can identify the most uncertain issues surrounding the role of disturbance in the North American carbon budget and develop working hypotheses to reduce the uncertainty
","language":"English","publisher":"AGU Publications","doi":"10.1029/2010JG001585","usgsCitation":"Liu, S., Bond-Lamberty, B., Hicke, J.A., Vargas, R., Zhao, S., Chen, J., Edburg, S.L., Hu, Y., Liu, J., McGuire, A., Xiao, J., Keane, R., Yuan, W., Tang, J., Luo, Y., Potter, C., and Oeding, J., 2011, Simulating the impacts of disturbances on forest carbon cycling in North America: Processes, data, models, and challenges: Journal of Geophysical Research: Biogeosciences, v. 116, no. G4, p. 1-22, https://doi.org/10.1029/2010JG001585.","productDescription":"22 p. 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]\n}","volume":"116","issue":"G4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2011-11-08","publicationStatus":"PW","scienceBaseUri":"5937bf31e4b0f6c2d0d9c7b6","contributors":{"authors":[{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":697234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bond-Lamberty, Ben","contributorId":172028,"corporation":false,"usgs":false,"family":"Bond-Lamberty","given":"Ben","email":"","affiliations":[{"id":13566,"text":"Joint Global Change Research Institute, Pacific Northwest National Laboratory","active":true,"usgs":false},{"id":33852,"text":"Univ of Maryland, College Park, MD","active":true,"usgs":false}],"preferred":false,"id":697288,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hicke, Jeffrey A.","contributorId":36475,"corporation":false,"usgs":true,"family":"Hicke","given":"Jeffrey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":697289,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vargas, Rodrigo","contributorId":172036,"corporation":false,"usgs":false,"family":"Vargas","given":"Rodrigo","affiliations":[],"preferred":false,"id":697290,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhao, Shuqing","contributorId":9152,"corporation":false,"usgs":true,"family":"Zhao","given":"Shuqing","email":"","affiliations":[],"preferred":false,"id":697291,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chen, Jing","contributorId":192654,"corporation":false,"usgs":false,"family":"Chen","given":"Jing","affiliations":[{"id":7044,"text":"University of Toronto","active":true,"usgs":false}],"preferred":false,"id":697292,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Edburg, Steven L.","contributorId":192655,"corporation":false,"usgs":false,"family":"Edburg","given":"Steven","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":697293,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hu, Yueming","contributorId":192656,"corporation":false,"usgs":false,"family":"Hu","given":"Yueming","email":"","affiliations":[],"preferred":false,"id":697294,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science 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Woods Hole, MA 02543.","active":true,"usgs":false}],"preferred":false,"id":697300,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Luo, Yiqi","contributorId":177420,"corporation":false,"usgs":false,"family":"Luo","given":"Yiqi","email":"","affiliations":[],"preferred":false,"id":697301,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Potter, Christopher 0000-0002-2300-6670","orcid":"https://orcid.org/0000-0002-2300-6670","contributorId":103151,"corporation":false,"usgs":true,"family":"Potter","given":"Christopher","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":697302,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Oeding, Jennifer joeding@usgs.gov","contributorId":4070,"corporation":false,"usgs":true,"family":"Oeding","given":"Jennifer","email":"joeding@usgs.gov","affiliations":[],"preferred":true,"id":697303,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70040338,"text":"70040338 - 2011 - Survey of invasive ants at Hakalau Forest National Wildlife Refuge","interactions":[],"lastModifiedDate":"2018-01-05T12:46:32","indexId":"70040338","displayToPublicDate":"2011-11-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":414,"text":"Technical Report","active":false,"publicationSubtype":{"id":9}},"seriesNumber":"HCSU-027","title":"Survey of invasive ants at Hakalau Forest National Wildlife Refuge","docAbstract":"We conducted a survey for invasive ants at Hakalau Forest National Wildlife Refuge, Hawai‘i Island, during 2009–2010 to evaluate potential threats to native arthropod communities and food webs. The focal area of the survey was the upper portion of the Hakalau Unit of the refuge, where native forest was being restored in abandoned cattle pastures. This area, between 1575 and 1940 m elevations, contained much alien kikuyu grass (Pennisetum clandestinum), but koa (Acacia koa) trees and other native species that were planted in the past 20 years were rapidly filling in the pasture. We surveyed for ants at predetermined points along roads, fences, and corridors of planted koa. Sampling methods primarily consisted of hand searching and pitfall traps, but bait cards were used additionally in some instances. Our results indicated that a single species, Cardiocondyla kagutsuchi, was widespread across the upper portion of the refuge. Cardiocondyla kagutsuchi seemed absent, or at least rare, in areas of tall, dense grass. Due to the undulating topography of the area, however, the dense grass cover was interspersed with outcroppings of exposed, gravelly soil. Presumably due to warming by the sun, many of the outcropped habitats supported colonies of C. kagutsuchi. We did not detect ants in the old-growth forest below the abandoned pastures, presumably because microhabitat conditions under the forest canopy were unsuitable. Although ecological impacts of C. kagutsuchi have not been reported, they may be limited by the small size of the ant, the relatively small size of colonies, and the apparent preference of the ant for disturbed areas that are dominated by alien species. Notably, our survey of Keanakolu-Mana Road between the Observatory Road (John A. Burns Way) and the town of Waimea detected a population of Argentine ants (Linepithema humile) approximately 5.1 km north of the Maulua Section of the refuge. We also surveyed for ants on the Kona Forest Unit of the refuge. This small survey focused on approximately 14 km of roads located below about 1600 m elevation. We found two species, Solenopsis papuana and Nylanderia bourbonica. Solenopsis papuana was more widespread, being found along the southern, northern, and western boundaries, while N. bourbonica was detected only at 790 m elevation on the southern boundary. Of the two species, S. papuana seemed more likely to affect native arthropod communities due to its tendency to form relatively large, aggressive colonies and its ability to inhabit intact mesic and wet forests below 1100 m elevation. In contrast, the restriction of N. bourbonica to disturbed habitats indicated a reduced threat to native arthropod communities. Our results on the Kona Forest Unit corroborated those of a study conducted during 1999–2000, although the earlier study was more intensive over time and yielded small numbers of two additional species, Cardiocondyla wroughtonii and Tetramorium bicarinatum, both of which were detected below 792 m elevation along the southern boundary.
","language":"English","publisher":"University of Hawaii at Hilo","publisherLocation":"Hilo, Hawaii","usgsCitation":"Peck, R.W., and Banko, P.C., 2011, Survey of invasive ants at Hakalau Forest National Wildlife Refuge: Technical Report HCSU-027, iii., 22 p.","productDescription":"iii., 22 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032917","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":326180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.687255859375,\n 20.068830858040453\n ],\n [\n -155.68313598632812,\n 20.023677645296186\n ],\n [\n -155.62820434570312,\n 20.030128899024707\n ],\n [\n -155.62957763671875,\n 20.06754094648767\n ],\n [\n -155.687255859375,\n 20.068830858040453\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.85908889770508,\n 19.395849014481563\n ],\n [\n -155.85874557495117,\n 19.373664595868803\n ],\n [\n -155.78510284423828,\n 19.36330003644329\n ],\n [\n -155.7813262939453,\n 19.390667523017925\n ],\n [\n -155.85908889770508,\n 19.395849014481563\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.3350067138672,\n 19.88039176782252\n ],\n [\n -155.2306365966797,\n 19.908801100395596\n ],\n [\n -155.22171020507812,\n 19.76282638490852\n ],\n [\n -155.3404998779297,\n 19.755071768505005\n ],\n [\n -155.3350067138672,\n 19.88039176782252\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.4730224609375,\n 19.76282638490852\n ],\n [\n -155.47164916992188,\n 19.732451984739082\n ],\n [\n -155.42701721191406,\n 19.742792855008975\n ],\n [\n -155.43251037597656,\n 19.77316528687271\n ],\n [\n -155.4730224609375,\n 19.76282638490852\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.39337158203125,\n 19.972703439903515\n ],\n [\n -155.40504455566406,\n 19.94236918954201\n ],\n [\n -155.34187316894528,\n 19.91202911100831\n ],\n [\n -155.32127380371094,\n 19.944305592499532\n ],\n [\n -155.39337158203125,\n 19.972703439903515\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a5b8dbe4b0ebae89b78a6d","contributors":{"authors":[{"text":"Peck, Robert W.","contributorId":45629,"corporation":false,"usgs":true,"family":"Peck","given":"Robert","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":644930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":644931,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70198344,"text":"70198344 - 2011 - The role of dyking and fault control in the rapid onset of eruption at Chaitén Volcano, Chile","interactions":[],"lastModifiedDate":"2019-12-22T14:12:56","indexId":"70198344","displayToPublicDate":"2011-10-20T08:45:26","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"The role of dyking and fault control in the rapid onset of eruption at Chaitén Volcano, Chile","docAbstract":"Rhyolite is the most viscous of liquid magmas, so it was surprising that on 2 May 2008 at Chaitén Volcano, located in Chile’s southern Andean volcanic zone, rhyolitic magma migrated from more than 5 km depth in less than 4 hours and erupted explosively with only two days of detected precursory seismic activity. The last major rhyolite eruption before that at Chaitén was the largest volcanic eruption in the twentieth century, at Novarupta volcano, Alaska, in 1912. Because of the historically rare and explosive nature of rhyolite eruptions and because of the surprisingly short warning before the eruption of the Chaitén volcano, any information about the workings of the magmatic system at Chaitén, and rhyolitic systems in general, is important from both the scientific and hazard perspectives. Here we present surface deformation data related to the Chaitén eruption based on radar interferometry observations from the Japan Aerospace Exploration Agency (JAXA) DAICHI (ALOS) satellite. The data on this explosive rhyolite eruption indicate that the rapid ascent of rhyolite occurred through dyking and that melt segregation and magma storage were controlled by existing faults.
","language":"English","publisher":"Springer","doi":"10.1038/nature10541","usgsCitation":"Wicks, C., Carlos de la Llera, J., Lara, L.E., and Lowenstern, J.B., 2011, The role of dyking and fault control in the rapid onset of eruption at Chaitén Volcano, Chile: Nature, v. 478, p. 374-377, https://doi.org/10.1038/nature10541.","productDescription":"4 p.","startPage":"374","endPage":"377","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":356177,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Chaitén Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.01513671875,\n -43.20117168127244\n ],\n [\n -71.773681640625,\n -43.20117168127244\n ],\n [\n -71.773681640625,\n -42.191899024471915\n ],\n [\n -73.01513671875,\n -42.191899024471915\n ],\n [\n -73.01513671875,\n -43.20117168127244\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"478","noUsgsAuthors":false,"publicationDate":"2011-10-19","publicationStatus":"PW","scienceBaseUri":"5b98b33ae4b0702d0e8448a3","contributors":{"authors":[{"text":"Wicks, Charles W. Jr. cwicks@usgs.gov","contributorId":3476,"corporation":false,"usgs":true,"family":"Wicks","given":"Charles W.","suffix":"Jr.","email":"cwicks@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":741158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlos de la Llera, J.","contributorId":94521,"corporation":false,"usgs":true,"family":"Carlos de la Llera","given":"J.","email":"","affiliations":[],"preferred":false,"id":741159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lara, Luis E.","contributorId":40500,"corporation":false,"usgs":true,"family":"Lara","given":"Luis","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":741160,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":741161,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70190437,"text":"70190437 - 2011 - Holocene and late glacial palaeoceanography and palaeolimnology of the Black Sea: Changing sediment provenance and basin hydrography over the past 20,000 years","interactions":[],"lastModifiedDate":"2017-08-31T11:19:03","indexId":"70190437","displayToPublicDate":"2011-10-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Holocene and late glacial palaeoceanography and palaeolimnology of the Black Sea: Changing sediment provenance and basin hydrography over the past 20,000 years","docAbstract":"The elemental geochemistry of Late Pleistocene and Holocene sediments of the Black Sea, recovered in box cores from the basin margins and a 5-m gravity core from the central abyssal region of the basin, identifies two terrigenous sediment sources over the last 20 kyrs. One source region includes Anatolia and the southern Caucasus; the second region is the area drained by rivers entering the Black Sea from Eastern Europe. Alkali metal:Al and heavy:light rare-earth element ratios reveal that the relative contribution of the two sources shifted abruptly every few thousand years during the late glacial and early Holocene lacustrine phase of the basin. The shifts in source were coeval with changes in the lake level as determined from the distribution of quartz and the heavy mineral-hosted trace elements Ti and Zr.
The geochemistry of the abyssal sediments further recorded a sequence of changes to the geochemistry of the water column following the lacustrine phase, when high salinity Mediterranean water entered the basin beginning 9.3 kyrs BP. Bottom water that had been oxic throughout the lake phase became anoxic at approximately 8.4 kyrs BP, as recorded by the accumulation from the water column of several redox-sensitive trace metals (Mo, Re, U). The accumulation of organic carbon and several trace nutrients (Cd, Cu, Ni, Zn) increased sharply ca. 0.4 kyrs later, at 8.0 kyrs BP, reflecting an increase of primary productivity. Its increase was coeval with a shift in the dinoflagellate ecology from stenohaline to euryhaline assemblages. During this profound environmental change from the lacustrine to the marine phase, the accumulation rate of the lithogenous sediment fraction decreased as much as 10-fold in response to the rise of the water level in the basin from a low stand ca. 9.3 ka to its current level.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2011.07.016","usgsCitation":"Piper, D.Z., and Calvert, S., 2011, Holocene and late glacial palaeoceanography and palaeolimnology of the Black Sea: Changing sediment provenance and basin hydrography over the past 20,000 years: Geochimica et Cosmochimica Acta, v. 75, no. 19, p. 5597-5624, https://doi.org/10.1016/j.gca.2011.07.016.","productDescription":"28 p.","startPage":"5597","endPage":"5624","ipdsId":"IP-020961","costCenters":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":345386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Black Sea","volume":"75","issue":"19","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59a92041e4b07e1a023ccda9","contributors":{"authors":[{"text":"Piper, David Z. dzpiper@usgs.gov","contributorId":2452,"corporation":false,"usgs":true,"family":"Piper","given":"David","email":"dzpiper@usgs.gov","middleInitial":"Z.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":709147,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calvert, S.E.","contributorId":12196,"corporation":false,"usgs":true,"family":"Calvert","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":709148,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70005539,"text":"ofr20111256 - 2011 - Carbonatite and alkaline intrusion-related rare earth element deposits–A deposit model","interactions":[],"lastModifiedDate":"2012-02-02T00:15:58","indexId":"ofr20111256","displayToPublicDate":"2011-09-28T00:00:00","publicationYear":"2011","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":"2011-1256","title":"Carbonatite and alkaline intrusion-related rare earth element deposits–A deposit model","docAbstract":"The rare earth elements are not as rare in nature as their name implies, but economic deposits with these elements are not common and few deposits have been large producers. In the past 25 years, demand for rare earth elements has increased dramatically because of their wide and diverse use in high-technology applications. Yet, presently the global production and supply of rare earth elements come from only a few sources. China produces more than 95 percent of the world's supply of rare earth elements. Because of China's decision to restrict exports of these elements, the price of rare earth elements has increased and industrial countries are concerned about supply shortages. As a result, understanding the distribution and origin of rare earth elements deposits, and identifying and quantifying our nation's rare earth elements resources have become priorities. Carbonatite and alkaline intrusive complexes, as well as their weathering products, are the primary sources of rare earth elements. The general mineral deposit model summarized here is part of an effort by the U.S. Geological Survey's Mineral Resources Program to update existing models and develop new descriptive mineral deposit models to supplement previously published models for use in mineral-resource and mineral-environmental assessments. Carbonatite and alkaline intrusion-related REE deposits are discussed together because of their spatial association, common enrichment in incompatible elements, and similarities in genesis. A wide variety of commodities have been exploited from carbonatites and alkaline igneous rocks, such as rare earth elements, niobium, phosphate, titanium, vermiculite, barite, fluorite, copper, calcite, and zirconium. Other enrichments include manganese, strontium, tantalum, thorium, vanadium, and uranium.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111256","usgsCitation":"Verplanck, P.L., and Van Gosen, B.S., 2011, Carbonatite and alkaline intrusion-related rare earth element deposits–A deposit model: U.S. Geological Survey Open-File Report 2011-1256, ii, 6 p., https://doi.org/10.3133/ofr20111256.","productDescription":"ii, 6 p.","onlineOnly":"Y","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":116514,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1256.png"},{"id":94200,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1256/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e4e4b07f02db5e62df","contributors":{"authors":[{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":352753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Gosen, Bradley S. 0000-0003-4214-3811 bvangose@usgs.gov","orcid":"https://orcid.org/0000-0003-4214-3811","contributorId":1174,"corporation":false,"usgs":true,"family":"Van Gosen","given":"Bradley","email":"bvangose@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":352754,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70179135,"text":"70179135 - 2011 - Differential survival among sSOD-1* genotypes in Chinook Salmon","interactions":[],"lastModifiedDate":"2016-12-19T12:34:30","indexId":"70179135","displayToPublicDate":"2011-09-28T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Differential survival among sSOD-1* genotypes in Chinook Salmon","docAbstract":"Differential survival and growth were tested in Chinook salmon Oncorhynchus tshawytscha expressing two common alleles, *–100 and *–260, at the superoxide dismutase locus (sSOD-1*). These tests were necessary to support separate studies in which the two alleles were used as genetic marks under the assumption of mark neutrality. Heterozygous adults were used to produce progeny with –100/–100, –100/–260, and –260/–260 genotypes that were reared in two natural streams and two hatcheries in the states of Washington and Oregon. The latter also were evaluated as returning adults. In general, the genotype ratios of juveniles reared at hatcheries were consistent with high survival and little or no differential survival in the hatchery. Adult returns at one hatchery were significantly different from the expected proportions, and the survival of the –260/–260 genotype was 0.56–0.89 times that of the –100/–100 genotype over four year-classes. Adult returns at a second hatchery (one year-class) were similar but not statistically significant: survival of the –260/–260genotype relative to the –100/–100 genotype was 0.76. The performance of the heterozygote group was intermediate at both hatcheries. Significant differences in growth were rarely observed among hatchery fish (one year-class of juveniles and one age-class of adult males) but were consistent with greater performance for the –100/–100 genotype. Results from two groups of juveniles reared in streams (one year-class from each stream) suggested few differences in growth, but the observed genotype ratios were significantly different from the expected ratios in one stream. Those differences were consistent with the adult data; survival for the –260/–260 genotype was 76% of that of the –100/–100 genotype. These results, which indicate nonneutrality among sSOD-1* genotypes, caused us to modify our related studies and suggest caution in the interpretation of results and analyses in which allozyme marks are assumed to be neutral.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2011.621813","usgsCitation":"Hayes, M.C., Reisenbichler, R.R., Rubin, S.P., Wetzel, L.A., and Marshall, A.R., 2011, Differential survival among sSOD-1* genotypes in Chinook Salmon: Transactions of the American Fisheries Society, v. 140, no. 5, p. 1305-1316, https://doi.org/10.1080/00028487.2011.621813.","productDescription":"12 p. ","startPage":"1305","endPage":"1316","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":474918,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/00028487.2011.621813","text":"Publisher Index Page"},{"id":332273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Columbia River ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.915283203125,\n 45.95496879511337\n ],\n [\n -121.56097412109375,\n 45.94924003378791\n ],\n [\n -121.1572265625,\n 45.8842726860033\n ],\n [\n -121.13800048828125,\n 45.70234306798271\n ],\n [\n -120.91827392578125,\n 45.71385093029221\n ],\n [\n -120.61614990234374,\n 45.79242458189578\n ],\n [\n -120.45135498046875,\n 45.77710182434549\n ],\n [\n -120.30853271484375,\n 45.56406391514301\n ],\n [\n -120.36346435546874,\n 45.27102073184515\n ],\n [\n -120.355224609375,\n 45.00170912094224\n ],\n [\n -120.34698486328125,\n 44.84613295361055\n ],\n [\n -120.5145263671875,\n 44.820812031724444\n ],\n [\n -120.64361572265624,\n 44.92786297463683\n ],\n [\n -121.95373535156249,\n 45.55444852652113\n ],\n [\n -121.9482421875,\n 45.960696964286164\n ],\n [\n -121.915283203125,\n 45.95496879511337\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"140","issue":"5","noUsgsAuthors":false,"publicationDate":"2011-09-28","publicationStatus":"PW","scienceBaseUri":"5859000be4b03639a6025e3d","contributors":{"authors":[{"text":"Hayes, Michael C. 0000-0002-9060-0565 mhayes@usgs.gov","orcid":"https://orcid.org/0000-0002-9060-0565","contributorId":3017,"corporation":false,"usgs":true,"family":"Hayes","given":"Michael","email":"mhayes@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656147,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reisenbichler, Reginald R.","contributorId":20623,"corporation":false,"usgs":true,"family":"Reisenbichler","given":"Reginald","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":656148,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rubin, Stephen P. 0000-0003-3054-7173","orcid":"https://orcid.org/0000-0003-3054-7173","contributorId":38037,"corporation":false,"usgs":true,"family":"Rubin","given":"Stephen","email":"","middleInitial":"P.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656149,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wetzel, Lisa A. 0000-0003-3178-9940 lwetzel@usgs.gov","orcid":"https://orcid.org/0000-0003-3178-9940","contributorId":3016,"corporation":false,"usgs":true,"family":"Wetzel","given":"Lisa","email":"lwetzel@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":656150,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marshall, Anne R.","contributorId":177545,"corporation":false,"usgs":false,"family":"Marshall","given":"Anne","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":656151,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70005505,"text":"sir20115131 - 2011 - Flood-frequency analyses from paleoflood investigations for Spring, Rapid, Boxelder, and Elk Creeks, Black Hills, western South Dakota","interactions":[],"lastModifiedDate":"2019-04-29T10:12:17","indexId":"sir20115131","displayToPublicDate":"2011-09-27T00:00:00","publicationYear":"2011","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":"2011-5131","title":"Flood-frequency analyses from paleoflood investigations for Spring, Rapid, Boxelder, and Elk Creeks, Black Hills, western South Dakota","docAbstract":"Flood-frequency analyses for the Black Hills area are important because of severe flooding of June 9-10, 1972, that was caused by a large mesoscale convective system and caused at least 238 deaths. Many 1972 peak flows are high outliers (by factors of 10 or more) in observed records that date to the early 1900s. An efficient means of reducing uncertainties for flood recurrence is to augment gaged records by using paleohydrologic techniques to determine ages and magnitudes of prior large floods (paleofloods). This report summarizes results of paleoflood investigations for Spring Creek, Rapid Creek (two reaches), Boxelder Creek (two subreaches), and Elk Creek. Stratigraphic records and resulting long-term flood chronologies, locally extending more than 2,000 years, were combined with observed and adjusted peak-flow values (gaged records) and historical flood information to derive flood-frequency estimates for the six study reaches. Results indicate that (1) floods as large as and even substantially larger than 1972 have affected most of the study reaches, and (2) incorporation of the paleohydrologic information substantially reduced uncertainties in estimating flood recurrence. Canyons within outcrops of Paleozoic rocks along the eastern flanks of the Black Hills provided excellent environments for (1) deposition and preservation of stratigraphic sequences of late-Holocene flood deposits, primarily in protected slack-water settings flanking the streams; and (2) hydraulic analyses for determination of associated flow magnitudes. The bedrock canyons ensure long-term stability of channel and valley geometry, thereby increasing confidence in hydraulic computations of ancient floods from modern channel geometry. Stratigraphic records of flood sequences, in combination with deposit dating by radiocarbon, optically stimulated luminescence, and cesium-137, provided paleoflood chronologies for 29 individual study sites. Flow magnitudes were estimated from elevations of flood deposits in conjunction with hydraulic calculations based on modern channel and valley geometry. Reach-scale paleoflood chronologies were interpreted for each study reach, which generally entailed correlation of flood evidence among multiple sites, chiefly based on relative position within stratigraphic sequences, unique textural characteristics, or results of age dating and flow estimation. The FLDFRQ3 and PeakfqSA analytical models (assuming log-Pearson Type III frequency distributions) were used for flood-frequency analyses for as many as four scenarios: (1) analysis of gaged records only; (2) gaged records with historical information; (3) all available data including gaged records, historical flows, paleofloods, and perception thresholds; and (4) the same as the third scenario, but ?top fitting? the distribution using only the largest 50 percent of gaged peak flows. The PeakfqSA model is most consistent with procedures adopted by most Federal agencies for flood-frequency analysis and thus was (1) used for comparisons among results for study reaches, and (2) considered by the authors as most appropriate for general applications of estimating low-probability flood recurrence. The detailed paleoflood investigations indicated that in the last 2,000 years all study reaches have had multiple large floods substantially larger than in gaged records. For Spring Creek, stratigraphic records preserved a chronology of at least five paleofloods in approximately (~) 1,000 years approaching or exceeding the 1972 flow of 21,800 cubic feet per second (ft3/s). The largest was ~700 years ago with a flow range of 29,300-58,600 ft3/s, which reflects the uncertainty regarding flood-magnitude estimates that was incorporated in the flood-frequency analyses. In the lower reach of Rapid Creek (downstream from Pactola Dam), two paleofloods in ~1,000 years exceeded the 1972 flow of 31,200 ft3/s. Those occurred ~440 and 1,000 years ago, with flows of 128,000-256,000 and 64,000-128,000 ft3/s, respectively. Five smaller paleofloods of 9,500-19,000 ft3/s occurred between ~200 and 400 years ago. In the upper reach of Rapid Creek (above Pactola Reservoir), the largest recorded floods are substantially smaller than for lower Rapid Creek and all other study reaches. Paleofloods of ~12,900 and 12,000 ft3/s occurred ~1,000 and 1,500 years ago. One additional paleoflood (~800 years ago) was similar in magnitude to the largest gaged flow of 2,460 ft3/s Boxelder Creek was treated as having two subreaches because of two tributaries that affect peak flows. During the last ~1,000 years, paleofloods of ~39,000-78,000 ft3/s and 40,000-80,000 ft3/s in the upstream subreach have exceeded the 1972 peak flow of 30,800 ft3/s. One other paleoflood was similar to the second largest gaged flow (16,400 ft3/s in 1907). For the downstream subreach, paleofloods of 61,300-123,000 ft3/s and 52,500-105,000 ft3/s in the last ~1,000 years have substantially exceeded the 1972 flood (50,500 ft3/s). Four additional paleofloods had flows between 14,200 and 33,800 ft3/s. The 1972 flow on Elk Creek (10,400 ft3/s) has been substantially exceeded at least five times in the last 1,900 years. The largest paleoflood (41,500-124,000 ft3/s) was ~900 years ago. Three other paleofloods between 37,500 and 120,000 ft3/s occurred between 1,100 and 1,800 years ago. A fifth paleoflood of 25,500-76,500 ft3/s was ~750 years ago. Considering analyses for all available data (PeakfqSA model) for all six study reaches, the 95-percent confidence intervals about the low-probability quantile estimates (100-, 200-, and 500-year recurrence intervals) were reduced by at least 78 percent relative to those for the gaged records only. In some cases, 95-percent uncertainty intervals were reduced by 99 percent or more. For all study reaches except the two Boxelder Creek subreaches, quantile estimates for these long-term analyses were larger than for the short-term analyses. The 1972 flow for the Spring Creek study reach (21,800 ft3/s) corresponds with a recurrence interval of ~400 years. Recurrence intervals are ~500 years for the 1972 flood magnitudes along the lower Rapid Creek reach and the upstream subreach of Boxelder Creek. For the downstream subreach of Boxelder Creek, the large 1972 flood magnitude (50,500 ft3/s) exceeds the 500-year quantile estimate by about 35 percent. The recurrence interval of ~100 years for 1972 flooding along the Elk Creek study reach is small relative to other study reaches along the eastern margin of the Black Hills. All of the paleofloods plot within the bounds of a national envelope curve, indicating that the national curve represents exceedingly rare floods for the Black Hills area. Elk Creek, lower Rapid Creek, and the downstream subreach of Boxelder Creek all have paleofloods that plot above a regional envelope curve; in the case of Elk Creek, by a factor of nearly two. The Black Hills paleofloods represent some of the largest known floods, relative to drainage area, for the United States. Many of the other largest known United States floods are in areas with physiographic and climatologic conditions broadly similar to the Black Hills-semiarid and rugged landscapes that intercept and focus heavy precipitation from convective storm systems. The 1972 precipitation and runoff patterns, previous analyses of peak-flow records, and the paleoflood investigations of this study support a hypothesis of distinct differences in flood generation within the central Black Hills study area. The eastern Black Hills are susceptible to intense orographic lifting associated with convective storm systems and also have high relief, thin soils, and narrow and steep canyons-factors favoring generation of exceptionally heavy rain-producing thunderstorms and promoting runoff and rapid concentration of flow into stream channels. In contrast, storm potential is smaller in and near the Limestone Plateau area, and storm runoff is further reduced by substantial infiltration into the limestone, gentle topography, and extensive floodplain storage. Results of the paleoflood investigations are directly applicable only to the specific study reaches and in the case of Rapid Creek, only to pre-regulation conditions. Thus, approaches for broader applications were developed from inferences of overall flood-generation processes, and appropriate domains for application of results were described. Example applications were provided by estimating flood quantiles for selected streamgages, which also allowed direct comparison with results of at-site flood-frequency analyses from a previous study. Several broad issues and uncertainties were examined, including potential biases associated with stratigraphic records that inherently are not always complete, uncertainties regarding statistical approaches, and the unknown applicability of paleoflood records to future watershed conditions. The results of the paleoflood investigations, however, provide much better physically based information on low-probability floods than has been available previously, substantially improving estimates of the magnitude and frequency of large floods in these basins and reducing associated uncertainty.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115131","collaboration":"Prepared in Cooperation with South Dakota Department of Transportation, Federal Emergency Management Agency, City of Rapid City, and West Dakota Water Development District","usgsCitation":"Harden, T., O'Connor, J., Driscoll, D.G., and Stamm, J., 2011, Flood-frequency analyses from paleoflood investigations for Spring, Rapid, Boxelder, and Elk Creeks, Black Hills, western South Dakota (First posted September 23, 2011; Revised January 18, 2012): U.S. Geological Survey Scientific Investigations Report 2011-5131, viii, 136 p., https://doi.org/10.3133/sir20115131.","productDescription":"viii, 136 p.","numberOfPages":"148","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":116513,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5131.jpg"},{"id":94196,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5131/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"South Dakota","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.16666666666667,43.666666666666664 ], [ -104.16666666666667,44.333333333333336 ], [ -103,44.333333333333336 ], [ -103,43.666666666666664 ], [ -104.16666666666667,43.666666666666664 ] ] ] } } ] }","edition":"First posted September 23, 2011; Revised January 18, 2012","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e6e4b07f02db5e745a","contributors":{"authors":[{"text":"Harden, Tessa M. 0000-0001-9854-1347","orcid":"https://orcid.org/0000-0001-9854-1347","contributorId":85690,"corporation":false,"usgs":false,"family":"Harden","given":"Tessa M.","affiliations":[{"id":6736,"text":"Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":352676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":352675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Driscoll, Daniel G. dgdrisco@usgs.gov","contributorId":1558,"corporation":false,"usgs":true,"family":"Driscoll","given":"Daniel","email":"dgdrisco@usgs.gov","middleInitial":"G.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":352673,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stamm, John F. 0000-0002-3404-2933 jstamm@usgs.gov","orcid":"https://orcid.org/0000-0002-3404-2933","contributorId":2859,"corporation":false,"usgs":true,"family":"Stamm","given":"John F.","email":"jstamm@usgs.gov","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":352674,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70006223,"text":"70006223 - 2011 - Vegetation assessment of forests of Pagan Island, Commonwealth of the Northern Mariana Islands","interactions":[],"lastModifiedDate":"2022-10-26T13:11:17.330748","indexId":"70006223","displayToPublicDate":"2011-09-21T14:30:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":295,"text":"Technical Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"HCSU-023","title":"Vegetation assessment of forests of Pagan Island, Commonwealth of the Northern Mariana Islands","docAbstract":"As part of the Marianas Expedition Wildlife Surveys-2010, the forest vegetation of the island of Pagan, Commonwealth of the Northern Mariana Islands (CNMI), was sampled with a series of systematic plots along 13 transects established for monitoring forest bird populations. Shrubland and grassland were also sampled in the northern half of the island. Data collected were woody plant density, tree diameter at breast height, woody plant density in height classes below 2 m, and ground cover measured with the point-intercept method. Coconut forests (Cocos nucifera) were generally found to have low native tree diversity, little regeneration of trees and shrubs in the forest understory, and little live ground cover. The sole exception was a coconut-dominated forest of the northeast side of the island that exhibited high native tree diversity and a large number of young native trees in the understory. Ironwood (Casuarina equisetifolia) forests on the northern half of the island were nearly monocultures with almost no trees other than ironwood in vegetation plots, few woody plants in the understory, and low ground cover dominated by native ferns. Mixed native forests of both northern and southern sections of the island had a diversity of native tree species in both the canopy and the sparse understory. Ground cover of native forests in the north had a mix of native and alien species, but that of the southern half of the island was dominated by native ferns and woody plants.
\nDuring vegetation surveys in June–July 2010, 215 vascular plant species were observed on Pagan; 21 new island records of alien plants and 12 new island records of native plants were documented. Many of the new and recently sighted alien plants of the northern section of the island appeared to be in the incipient stage of invasion. Most of the new native plant sightings and a number of other rare tree and shrub species of Pagan were limited to forests of the rugged southern half of the island.
","language":"English","publisher":"University of Hawaii at Hilo","publisherLocation":"Hilo, HI","usgsCitation":"Pratt, L.W., 2011, Vegetation assessment of forests of Pagan Island, Commonwealth of the Northern Mariana Islands: Technical Report HCSU-023, vi, 73.","productDescription":"vi, 73","numberOfPages":"81","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025713","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":408748,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10790/2639","linkFileType":{"id":5,"text":"html"}},{"id":326153,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Commonwealth of the Northern Mariana Islands","otherGeospatial":"Pagan Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 145.70912515392263,\n 18.040779611271205\n ],\n [\n 145.7535971603936,\n 18.065209593827305\n ],\n [\n 145.7713859629839,\n 18.102787547439803\n ],\n [\n 145.7960926332458,\n 18.09996948015035\n ],\n [\n 145.81388143583422,\n 18.157261268458797\n ],\n [\n 145.78324516470832,\n 18.177919274934283\n ],\n [\n 145.75162062677288,\n 18.162895512605303\n ],\n [\n 145.7555736940144,\n 18.139418296774096\n ],\n [\n 145.7506323599635,\n 18.111241477422325\n ],\n [\n 145.7170312884055,\n 18.088696758017306\n ],\n [\n 145.70220728624912,\n 18.054874246343815\n ],\n [\n 145.70912515392263,\n 18.040779611271205\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a5b8e0e4b0ebae89b78aa2","contributors":{"authors":[{"text":"Pratt, Linda W. lpratt@usgs.gov","contributorId":3708,"corporation":false,"usgs":true,"family":"Pratt","given":"Linda","email":"lpratt@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":513540,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70005460,"text":"ofr20111189 - 2011 - The future of rare earth elements—will these high-tech industry elements continue in short supply?","interactions":[],"lastModifiedDate":"2012-02-02T00:15:53","indexId":"ofr20111189","displayToPublicDate":"2011-09-20T00:00:00","publicationYear":"2011","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":"2011-1189","title":"The future of rare earth elements—will these high-tech industry elements continue in short supply?","docAbstract":"* REE will continue to find increasing use due to their unique properties. * There is a realistic possibility around 2015-2016 of sufficient REE capacity to meet demand under conditions of healthy price competition. * REE supplies will be tight and prices high for a few years. * There is significant downside risk that newly developed mines will not perform as planned.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111189","usgsCitation":"Long, K.R., 2011, The future of rare earth elements—will these high-tech industry elements continue in short supply?: U.S. Geological Survey Open-File Report 2011-1189, ii, 41 p.; PDF Slides ;Powerpoint, https://doi.org/10.3133/ofr20111189.","productDescription":"ii, 41 p.; PDF Slides ;Powerpoint","onlineOnly":"Y","costCenters":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":116317,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1189.jpg"},{"id":94158,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1189/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a53e4b07f02db62b1e8","contributors":{"authors":[{"text":"Long, Keith R. 0000-0002-6457-2820 klong@usgs.gov","orcid":"https://orcid.org/0000-0002-6457-2820","contributorId":2279,"corporation":false,"usgs":true,"family":"Long","given":"Keith","email":"klong@usgs.gov","middleInitial":"R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":352560,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70005456,"text":"ds609 - 2011 - Groundwater-quality data in the northern Coast Ranges study unit, 2009: Results from the California GAMA Program","interactions":[],"lastModifiedDate":"2012-03-08T17:16:40","indexId":"ds609","displayToPublicDate":"2011-09-20T00:00:00","publicationYear":"2011","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":"609","title":"Groundwater-quality data in the northern Coast Ranges study unit, 2009: Results from the California GAMA Program","docAbstract":"Groundwater quality in the 633-square-mile Northern Coast Ranges (NOCO) study unit was investigated by the U.S. Geological Survey (USGS) from June to November 2009, as part of the California State Water Resources Control Board (SWRCB) Groundwater Ambient Monitoring and Assessment (GAMA) Program's Priority Basin Project (PBP) and the U.S. Geological Survey National Water-Quality Assessment Program (NAWQA). The GAMA-PBP was developed in response to the California Groundwater Quality Monitoring Act of 2001 and is being conducted in collaboration with the SWRCB and Lawrence Livermore National Laboratory (LLNL). The NOCO study unit was the thirtieth study unit to be sampled as part of the GAMA-PBP.\nThe GAMA Northern Coast Ranges study was designed to provide a spatially unbiased assessment of untreated-groundwater quality in the primary aquifer systems, and to facilitate statistically consistent comparisons of untreated groundwater quality throughout California. The primary aquifer systems (hereinafter referred to as primary aquifers) are defined as that part of the aquifer corresponding to the perforation intervals of wells listed in the California Department of Public Health (CDPH) database for the NOCO study unit. The quality of groundwater in shallow or deep water-bearing zones may differ from the quality of groundwater in the primary aquifers; shallow groundwater may be more vulnerable to surficial contamination.\nIn the NOCO study unit, groundwater samples were collected from 58 wells in 2 study areas (Interior Basins and Coastal Basins) in Napa, Lake, Mendocino, Glenn, Humboldt, and Del Norte Counties. The 58 wells were selected by using a spatially distributed, randomized grid-based method to provide statistical representation of the study areas. GAMA-PBP wells sampled as part of the spatially-distributed, randomized grid-cell network are referred to as \"grid wells.\"The groundwater samples were analyzed for organic and special-interest constituents (volatile organic compounds [VOC], pesticides and pesticide degradates, and perchlorate), naturally occurring inorganic constituents (trace elements, nutrients, dissolved organic carbon [DOC], major and minor ions, silica, total dissolved solids [TDS], and alkalinity), radioactive constituents (radon-222, radium isotopes, gross alpha and gross beta radioactivity, lead-210, and polonium-210), and microbial indicators (F-specific and somatic coliphage, Escherichia coli [E. coli] and total coliform). Naturally occurring isotopes (stable isotopes of hydrogen and oxygen in water, stable isotopes of carbon in dissolved inorganic carbon, activities of tritium, and carbon-14 abundance), and dissolved noble gases also were measured to identify the sources and ages of the sampled groundwater. In total, 239 constituents and 12 field water-quality indicators were measured.\nThree types of quality-control samples (blanks, replicates, and matrix-spikes) were collected at up to 12 percent of the wells in the NOCO study unit, and the results for these samples were used to evaluate the quality of the data for the groundwater samples. Blanks rarely contained detectable concentrations of any constituent, suggesting that contamination from sample collection procedures was not a significant source of bias in the data for the groundwater samples. Replicate samples generally were within the limits of acceptable analytical reproducibility. Matrix-spike recoveries were within the acceptable range (70 to 130 percent) for approximately 89 percent of the compounds.\nThis study did not attempt to evaluate the quality of water delivered to consumers; after withdrawal from the ground, untreated groundwater typically is treated, disinfected, and (or) blended with other waters to maintain water quality. Regulatory benchmarks apply to water that is served to the consumer, not to untreated groundwater. However, to provide some context for the results, concentrations of constituents measured in the untreated groundwa","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds609","collaboration":"A product of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program Prepared in cooperation with the California State Water Resources Control Board and the U.S. Geological Survey National Water-Quality Assessment Program","usgsCitation":"Mathany, T., Dawson, B.J., Shelton, J.L., and Belitz, K., 2011, Groundwater-quality data in the northern Coast Ranges study unit, 2009: Results from the California GAMA Program: U.S. Geological Survey Data Series 609, x, 65 p.; Appendix, https://doi.org/10.3133/ds609.","productDescription":"x, 65 p.; Appendix","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":116320,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_609.jpg"},{"id":94152,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/609/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afbe4b07f02db69621c","contributors":{"authors":[{"text":"Mathany, Timothy M. 0000-0002-4747-5113","orcid":"https://orcid.org/0000-0002-4747-5113","contributorId":99949,"corporation":false,"usgs":true,"family":"Mathany","given":"Timothy M.","affiliations":[],"preferred":false,"id":352554,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dawson, Barbara J. 0000-0002-0209-8158 bjdawson@usgs.gov","orcid":"https://orcid.org/0000-0002-0209-8158","contributorId":1102,"corporation":false,"usgs":true,"family":"Dawson","given":"Barbara","email":"bjdawson@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":352552,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shelton, Jennifer L. 0000-0001-8508-0270 jshelton@usgs.gov","orcid":"https://orcid.org/0000-0001-8508-0270","contributorId":1155,"corporation":false,"usgs":true,"family":"Shelton","given":"Jennifer","email":"jshelton@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":352553,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":352551,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70156382,"text":"70156382 - 2011 - An open-water electrical geophysical tool for mapping sub-seafloor heavy placer minerals in 3D and migrating hydrocarbon plumes in 4D","interactions":[],"lastModifiedDate":"2015-08-20T13:51:27","indexId":"70156382","displayToPublicDate":"2011-09-19T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"An open-water electrical geophysical tool for mapping sub-seafloor heavy placer minerals in 3D and migrating hydrocarbon plumes in 4D","docAbstract":"A towed-streamer technology has been developed for mapping placer heavy minerals and dispersed hydrocarbon plumes in the open ocean. The approach uses induced polarization (IP), an electrical measurement that encompasses several different surface-reactive capacitive and electrochemical phenomena, and thus is ideally suited for mapping dispersed or disseminated targets. The application is operated at sea by towing active electrical geophysical streamers behind a ship; a wide area can be covered in three dimensions by folding tow-paths over each other in lawn-mower fashion. This technology has already been proven in laboratory and ocean settings to detect IP-reactive titanium- and rare-earth (REE) minerals such as ilmenite and monazite. By extension, minerals that weather and accumulate/concentrate by a similar mechanism, including gold, platinum, and diamonds, may be rapidly detected and mapped indirectly- even when dispersed and covered with thick, inert sediment. IP is also highly reactive to metal structures such as pipelines and cables. Currently, the only means for mapping an oil-spill plume is to park a large ship in the ocean and drop a sampling string over the side, requiring hours of time per sampling point. The samples must then be chemically analyzed, adding additional time and expense. We believe that an extension of the marine IP technology could also apply to rapidly mapping both seafloor- blanket and disseminated hydrocarbon plumes in the open ocean, as hydrocarbon droplets in conductive seawater are topologically equivalent to a metal-plates-and-dielectric capacitor. Because the effective capacitance would be frequency-dependent on droplet size, the approach we advocate holds the potential to not only map, but also to characterize the evolution and degradation of such a plume over time. In areas where offshore oil field development has been practiced for extended periods, making IP measurements from a towed streamer may be useful for locating buried - nd exposed pipelines, as well as pipeline leaks. We believe this technique will be a more cost-effective method than drop-sampling to map and monitor hydrocarbon plumes in open ocean settings. A marine induced polarization system was used successfully to map a 15 km × 45 km swath of the ocean floor off eastern South Africa with 3-meter sampling along 200-meter-separated profiles. The survey detected titanium-bearing sands up to 15 meters below the seafloor. From preliminary laboratory work it is apparent that we can extend this technology to monitor significant environmental problems including anthropogenic and industrial waste washed into sensitive estuaries and sounds during storm-water runoff episodes, and also to map and characterize dispersed oil plumes in the seawater column in three dimensions, as well as movement and dispersal of both over time.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"OCEANS '11 MTS/IEEE Kona","conferenceTitle":"OCEANS '11 MTS/IEEE Kona","conferenceDate":"September 19-22, 2011","conferenceLocation":"Waikoloa, Hawaii","language":"English","publisher":"Institute of Electrical and Electronics Engineers","usgsCitation":"Wynn, J.C., Urquhart, S., Williamson, M., and Fleming, J.B., 2011, An open-water electrical geophysical tool for mapping sub-seafloor heavy placer minerals in 3D and migrating hydrocarbon plumes in 4D, in OCEANS '11 MTS/IEEE Kona, Waikoloa, Hawaii, September 19-22, 2011, 6 p.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":307037,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307036,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6093765"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d6fa2fe4b0518e3546bc20","contributors":{"authors":[{"text":"Wynn, Jefferey C.","contributorId":19076,"corporation":false,"usgs":true,"family":"Wynn","given":"Jefferey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":568969,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Urquhart, Scott","contributorId":146793,"corporation":false,"usgs":false,"family":"Urquhart","given":"Scott","email":"","affiliations":[],"preferred":false,"id":568970,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williamson, Mike","contributorId":146794,"corporation":false,"usgs":false,"family":"Williamson","given":"Mike","email":"","affiliations":[],"preferred":false,"id":568971,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fleming, John B.","contributorId":33788,"corporation":false,"usgs":true,"family":"Fleming","given":"John","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":568972,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70005075,"text":"70005075 - 2011 - Inference about density and temporary emigration in unmarked populations","interactions":[],"lastModifiedDate":"2021-02-12T21:51:03.605058","indexId":"70005075","displayToPublicDate":"2011-09-06T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Inference about density and temporary emigration in unmarked populations","docAbstract":"Few species are distributed uniformly in space, and populations of mobile organisms are rarely closed with respect to movement, yet many models of density rely upon these assumptions. We present a hierarchical model allowing inference about the density of unmarked populations subject to temporary emigration and imperfect detection. The model can be fit to data collected using a variety of standard survey methods such as repeated point counts in which removal sampling, double‐observer sampling, or distance sampling is used during each count. Simulation studies demonstrated that parameter estimators are unbiased when temporary emigration is either “completely random” or is determined by the size and location of home ranges relative to survey points. We also applied the model to repeated removal sampling data collected on Chestnut‐sided Warblers (Dendroica pensylvancia) in the White Mountain National Forest, USA. The density estimate from our model, 1.09 birds/ha, was similar to an estimate of 1.11 birds/ha produced by an intensive spot‐mapping effort. Our model is also applicable when processes other than temporary emigration affect the probability of being available for detection, such as in studies using cue counts. Functions to implement the model have been added to the R package unmarked.
","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1890/10-2433.1","usgsCitation":"Chandler, R.B., Royle, J., and King, D.I., 2011, Inference about density and temporary emigration in unmarked populations: Ecology, v. 92, no. 7, p. 1429-1435, https://doi.org/10.1890/10-2433.1.","productDescription":"7 p.","startPage":"1429","endPage":"1435","numberOfPages":"7","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":474923,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/10-2433.1","text":"Publisher Index Page"},{"id":204039,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Hampshire","otherGeospatial":"White Mountain National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.0428466796875,\n 43.67979094030124\n ],\n [\n -71.03759765625,\n 43.67979094030124\n ],\n [\n -71.03759765625,\n 44.449467536006935\n ],\n [\n -72.0428466796875,\n 44.449467536006935\n ],\n [\n -72.0428466796875,\n 43.67979094030124\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"92","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abae4b07f02db672132","contributors":{"authors":[{"text":"Chandler, Richard B. rchandler@usgs.gov","contributorId":63524,"corporation":false,"usgs":true,"family":"Chandler","given":"Richard","email":"rchandler@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":false,"id":351939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":351940,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"King, David I.","contributorId":34390,"corporation":false,"usgs":false,"family":"King","given":"David","email":"","middleInitial":"I.","affiliations":[{"id":18918,"text":"Department of Environmental Conservation, University of Massachusetts, Amherst, MA, 01003, USA","active":true,"usgs":false},{"id":13259,"text":"USDA Forest Service Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":351938,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70005258,"text":"70005258 - 2011 - A taping method for external transmitter attachment on aquatic snakes","interactions":[],"lastModifiedDate":"2017-08-30T13:33:40","indexId":"70005258","displayToPublicDate":"2011-08-24T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"A taping method for external transmitter attachment on aquatic snakes","docAbstract":"Radio telemetry is extremely useful for studying habitat use and movements of free ranging snakes. Surgically implanting radio transmitters into the body cavity of snakes is standard practice in most studies (e.g., Reinert and Cundall 1982; Weatherhead and Blouin-Demers 2004), but this implanting method has its drawbacks. Surgery itself is risky for individual snakes because of the potential for infection or incomplete healing of the incision site. Also, transmitters that are small enough to be carried by small or slender snakes have a relatively short battery life and need to be removed or replaced often, thus requiring frequent surgeries. In rare or endangered snake species, the risk of using invasive implantation surgery may not be merited. External attachment methods are relatively non-invasive and allow removal and replacement of radio transmitters on smaller snakes. The Giant Gartersnake (Thamnophis gigas) is a semi-aquatic snake endemic to wetlands of the Central Valley of California, USA, and is federally and state listed as threatened (U.S. Fish and Wildlife Service 1999). Telemetry studies of the habitat use and movements of this species typically used surgically implanted radio transmitters, but this method is limited to larger snakes, primarily females, because of size requirements for surgery (> 250 g). To overcome difficulties and biases associated with radio telemetry of T. gigas, we developed and evaluated several alternative techniques to attach external radio transmitters using tape.
","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Wylie, G., Smith, J., Amarello, M., and Casazza, M.L., 2011, A taping method for external transmitter attachment on aquatic snakes: Herpetological Review, v. 42, no. 2, p. 187-191.","productDescription":"5 p.","startPage":"187","endPage":"191","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":204097,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":345359,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://ssarherps.org/herpetological-review-pdfs/"}],"country":"United States","state":"California","volume":"42","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b17e4b07f02db6a6378","contributors":{"authors":[{"text":"Wylie, G.D.","contributorId":68238,"corporation":false,"usgs":true,"family":"Wylie","given":"G.D.","email":"","affiliations":[],"preferred":false,"id":352174,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, J.J.","contributorId":106175,"corporation":false,"usgs":true,"family":"Smith","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":352175,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amarello, M.","contributorId":8215,"corporation":false,"usgs":true,"family":"Amarello","given":"M.","affiliations":[],"preferred":false,"id":352172,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":352173,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70034304,"text":"70034304 - 2011 - Estimating age from recapture data: Integrating incremental growth measures with ancillary data to infer age-at-length","interactions":[],"lastModifiedDate":"2021-03-25T20:05:36.36788","indexId":"70034304","displayToPublicDate":"2011-08-17T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Estimating age from recapture data: Integrating incremental growth measures with ancillary data to infer age-at-length","docAbstract":"Estimating the age of individuals in wild populations can be of fundamental importance for answering ecological questions, modeling population demographics, and managing exploited or threatened species. Significant effort has been devoted to determining age through the use of growth annuli, secondary physical characteristics related to age, and growth models. Many species, however, either do not exhibit physical characteristics useful for independent age validation or are too rare to justify sacrificing a large number of individuals to establish the relationship between size and age. Length‐at‐age models are well represented in the fisheries and other wildlife management literature. Many of these models overlook variation in growth rates of individuals and consider growth parameters as population parameters. More recent models have taken advantage of hierarchical structuring of parameters and Bayesian inference methods to allow for variation among individuals as functions of environmental covariates or individual‐specific random effects. Here, we describe hierarchical models in which growth curves vary as individual‐specific stochastic processes, and we show how these models can be fit using capture–recapture data for animals of unknown age along with data for animals of known age. We combine these independent data sources in a Bayesian analysis, distinguishing natural variation (among and within individuals) from measurement error. We illustrate using data for African dwarf crocodiles, comparing von Bertalanffy and logistic growth models. The analysis provides the means of predicting crocodile age, given a single measurement of head length. The von Bertalanffy was much better supported than the logistic growth model and predicted that dwarf crocodiles grow from 19.4 cm total length at birth to 32.9 cm in the first year and 45.3 cm by the end of their second year. Based on the minimum size of females observed with hatchlings, reproductive maturity was estimated to be at nine years. These size benchmarks are believed to represent thresholds for important demographic parameters; improved estimates of age, therefore, will increase the precision of population projection models. The modeling approach that we present can be applied to other species and offers significant advantages when multiple sources of data are available and traditional aging techniques are not practical.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/10-0626.1","usgsCitation":"Eaton, M.J., and Link, W.A., 2011, Estimating age from recapture data: Integrating incremental growth measures with ancillary data to infer age-at-length: Ecological Applications, v. 21, no. 7, p. 2487-2497, https://doi.org/10.1890/10-0626.1.","productDescription":"11 p.","startPage":"2487","endPage":"2497","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":244879,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Republic of Gabon","otherGeospatial":"Loango National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 9.8382568359375,\n -3.019841106168974\n ],\n [\n 10.5413818359375,\n -2.729070029832631\n ],\n [\n 9.766845703125,\n -1.5653569866197157\n ],\n [\n 9.0692138671875,\n -1.8947961320582758\n ],\n [\n 9.2010498046875,\n -2.1363456335598716\n ],\n [\n 9.8382568359375,\n -3.019841106168974\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0b09e4b0c8380cd5252c","contributors":{"authors":[{"text":"Eaton, Mitchell J. 0000-0001-7324-6333 meaton@usgs.gov","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":169429,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","email":"meaton@usgs.gov","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":445159,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Link, William A. 0000-0002-9913-0256 wlink@usgs.gov","orcid":"https://orcid.org/0000-0002-9913-0256","contributorId":146920,"corporation":false,"usgs":true,"family":"Link","given":"William","email":"wlink@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":445158,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70003806,"text":"70003806 - 2011 - Gross and microscopic morphology of lesions in Cnidaria from Palmyra Atoll, Central Pacific","interactions":[],"lastModifiedDate":"2018-02-20T15:08:23","indexId":"70003806","displayToPublicDate":"2011-07-27T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2361,"text":"Journal of Invertebrate Pathology","active":true,"publicationSubtype":{"id":10}},"title":"Gross and microscopic morphology of lesions in Cnidaria from Palmyra Atoll, Central Pacific","docAbstract":"We conducted gross and microscopic characterizations of lesions in Cnidaria from Palmyra Atoll, Central Pacific. We found growth anomalies (GA) to be the most commonly encountered lesion. Cases of discoloration and tissue loss were rare. GAs had a focal or multi-focal distribution and were predominantly nodular, exophytic, and umbonate. In scleractinians, the majority of GAs manifested as hyperplasia of the basal body wall (52% of cases), with an associated absence or reduction of polyp structure (mesenteries and filaments, actinopharynx and tentacles), and depletion of zooxanthellae in the gastrodermis of the upper body wall. In the soft corals Sinularia sp. and Lobophytum sp., GAs exclusively manifested as prominent hyperplasia of the coenenchyme with an increased density of solenia. In contrast to scleractinians, soft coral GAs displayed an inflammatory and necrotizing component with marked edema of the mesoglea, accompanied by infiltrates of variably-sized granular amoebocytes. Fungi, algae, sponges, and Crustacea were present in some scleractinian GAs, but absent in soft coral GAs. Fragmentation of tissues was a common finding in Acropora acuminata and Montipora cf. dilatata colonies with tissue loss, although no obvious causative agents were seen. Discoloration in the zoanthid, Palythoa tuberculosa, was found to be the result of necrosis, while in Lobophytum sp. discoloration was the result of zooxanthellar depletion (bleaching). Soft corals with discoloration or tissue loss showed a marked inflammatory response, however no obvious causative organisms were seen. Lesions that appeared similar at the gross level were revealed to be distinct by microscopy, emphasizing the importance of histopathology.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jip.2010.08.002","usgsCitation":"Williams, G.J., Work, T.M., Aeby, G.S., Knapp, I.S., and Davy, S.K., 2011, Gross and microscopic morphology of lesions in Cnidaria from Palmyra Atoll, Central Pacific: Journal of Invertebrate Pathology, v. 106, no. 2, p. 165-173, https://doi.org/10.1016/j.jip.2010.08.002.","productDescription":"9 p.","startPage":"165","endPage":"173","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":203944,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Palmyra Atoll","volume":"106","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab1e4b07f02db66de9a","contributors":{"authors":[{"text":"Williams, Gareth J.","contributorId":47898,"corporation":false,"usgs":true,"family":"Williams","given":"Gareth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":348956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":348955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aeby, Greta S.","contributorId":64783,"corporation":false,"usgs":false,"family":"Aeby","given":"Greta","email":"","middleInitial":"S.","affiliations":[{"id":13394,"text":"Hawai‘i Institute of Marine Biology","active":true,"usgs":false}],"preferred":false,"id":348959,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knapp, Ingrid S.","contributorId":57198,"corporation":false,"usgs":true,"family":"Knapp","given":"Ingrid","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":348958,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davy, Simon K.","contributorId":53511,"corporation":false,"usgs":true,"family":"Davy","given":"Simon","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":348957,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70004934,"text":"sir20115094 - 2011 - Rare earth elements: end use and recyclability","interactions":[],"lastModifiedDate":"2015-02-18T10:16:32","indexId":"sir20115094","displayToPublicDate":"2011-07-21T00:00:00","publicationYear":"2011","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":"2011-5094","title":"Rare earth elements: end use and recyclability","docAbstract":"Rare earth elements are used in mature markets (such as catalysts, glassmaking, lighting, and metallurgy), which account for 59 percent of the total worldwide consumption of rare earth elements, and in newer, high-growth markets (such as battery alloys, ceramics, and permanent magnets), which account for 41 percent of the total worldwide consumption of rare earth elements. In mature market segments, lanthanum and cerium constitute about 80 percent of rare earth elements used, and in new market segments, dysprosium, neodymium, and praseodymium account for about 85 percent of rare earth elements used. Regardless of the end use, rare earth elements are not recycled in large quantities, but could be if recycling became mandated or very high prices of rare earth elements made recycling feasible.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115094","usgsCitation":"Goonan, T.G., 2011, Rare earth elements: end use and recyclability: U.S. Geological Survey Scientific Investigations Report 2011-5094, iv, 15 p., https://doi.org/10.3133/sir20115094.","productDescription":"iv, 15 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"links":[{"id":116099,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5094.gif"},{"id":24424,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5094/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db6493e6","contributors":{"authors":[{"text":"Goonan, Thomas G. goonan@usgs.gov","contributorId":2761,"corporation":false,"usgs":true,"family":"Goonan","given":"Thomas","email":"goonan@usgs.gov","middleInitial":"G.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":351675,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70003915,"text":"70003915 - 2011 - Diel biogeochemical processes in terrestrial waters","interactions":[],"lastModifiedDate":"2020-01-21T07:39:21","indexId":"70003915","displayToPublicDate":"2011-07-18T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Diel biogeochemical processes in terrestrial waters","docAbstract":"Many biogeochemical processes in rivers and lakes respond to the solar photocycle and produce persistent patterns of measureable phenomena that exhibit a day–night, or 24-h, cycle. Despite a large body of recent literature, the mechanisms responsible for these diel fluctuations are widely debated, with a growing consensus that combinations of physical, chemical, and biological processes are involved. These processes include streamflow variation, photosynthesis and respiration, plant assimilation, and reactions involving photochemistry, adsorption and desorption, and mineral precipitation and dissolution. Diel changes in streamflow and water properties such as temperature, pH, and dissolved oxygen concentration have been widely recognized, and recently, diel studies have focused more widely by considering other constituents such as dissolved and particulate trace metals, metalloids, rare earth elements, mercury, organic matter, dissolved inorganic carbon (DIC), and nutrients. The details of many diel processes are being studied using stable isotopes, which also can exhibit diel cycles in response to microbial metabolism, photosynthesis and respiration, or changes in phase, speciation, or redox state. In addition, secondary effects that diel cycles might have, for example, on biota or in the hyporheic zone are beginning to be considered.
This special issue is composed primarily of papers presented at the topical session “Diurnal Biogeochemical Processes in Rivers, Lakes, and Shallow Groundwater” held at the annual meeting of the Geological Society of America in October 2009 in Portland, Oregon. This session was organized because many of the growing number of diel studies have addressed just a small part of the full range of diel cycling phenomena found in rivers and lakes. This limited focus is understandable because (1) fundamental aspects of many diel processes are poorly understood and require detailed study, (2) the interests and expertise of individual scientists typically do not encompass the wide diversity and range of processes that produce diel cycles, and (3) the logistics of making field measurements for 24-h periods has limited recognition and understanding of these important cycles. Thus, the topical session brought together hydrologists, biologists, geochemists, and ecologists to discuss field studies, laboratory experiments, theoretical modeling, and measurement techniques related to diel cycling. Hopefully with the cross-disciplinary synergy developed at the session as well as by this special issue, a more comprehensive understanding of the interrelationships between the diel processes will be developed. Needless to say, understanding diel processes is critical for regulatory agencies and the greater scientific community. And perhaps more importantly, expanded knowledge of biogeochemical cycling may lead to better predictions of how aquatic ecosystems might react to changing conditions of contaminant loading, eutrophication, climate change, drought, industrialization, development, and other variables.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2011.01.023","usgsCitation":"Nimick, D.A., and Gammons, C.H., 2011, Diel biogeochemical processes in terrestrial waters: Chemical Geology, v. 283, no. 1-2, p. 1-2, https://doi.org/10.1016/j.chemgeo.2011.01.023.","productDescription":"2 p.","startPage":"1","endPage":"2","costCenters":[{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":203864,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"283","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ae4b07f02db65da0c","contributors":{"authors":[{"text":"Nimick, David A. dnimick@usgs.gov","contributorId":421,"corporation":false,"usgs":true,"family":"Nimick","given":"David","email":"dnimick@usgs.gov","middleInitial":"A.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true}],"preferred":true,"id":730084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gammons, Chris","contributorId":140801,"corporation":false,"usgs":false,"family":"Gammons","given":"Chris","affiliations":[{"id":13574,"text":"Montana Tech of the University of Montana, Butte, MT","active":true,"usgs":false}],"preferred":false,"id":730085,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70004842,"text":"pp1776C - 2011 - Depositional setting and geochemistry of phosphorites and metalliferous black shales in the Carboniferous-Permian Lisburne Group, Northern Alaska","interactions":[{"subject":{"id":70004842,"text":"pp1776C - 2011 - Depositional setting and geochemistry of phosphorites and metalliferous black shales in the Carboniferous-Permian Lisburne Group, Northern Alaska","indexId":"pp1776C","publicationYear":"2011","noYear":false,"chapter":"C","title":"Depositional setting and geochemistry of phosphorites and metalliferous black shales in the Carboniferous-Permian Lisburne Group, Northern Alaska"},"predicate":"IS_PART_OF","object":{"id":98607,"text":"pp1776 - 2010 - Studies by the U.S. Geological Survey in Alaska, 2008-2009","indexId":"pp1776","publicationYear":"2010","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, 2008-2009"},"id":1}],"isPartOf":{"id":98607,"text":"pp1776 - 2010 - Studies by the U.S. Geological Survey in Alaska, 2008-2009","indexId":"pp1776","publicationYear":"2010","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, 2008-2009"},"lastModifiedDate":"2022-10-24T13:32:32.274016","indexId":"pp1776C","displayToPublicDate":"2011-07-12T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1776","chapter":"C","title":"Depositional setting and geochemistry of phosphorites and metalliferous black shales in the Carboniferous-Permian Lisburne Group, Northern Alaska","docAbstract":"Phosphatic rocks are distributed widely in the Lisburne Group, a mainly Carboniferous carbonate succession that occurs throughout northern Alaska. New sedimentologic, paleontologic, and geochemical data presented here constrain the geographic and stratigraphic extent of these strata and their depositional and paleogeographic settings. Our findings support models that propose very high oxygen contents of the Permo-Carboniferous atmosphere and oceans, and those that suggest enhanced phosphogenesis in iron-limited sediments; our data also have implications for Carboniferous paleogeography of the Arctic. \n\nLisburne Group phosphorites range from granular to nodular, are interbedded with black shale and lime mudstone rich in radiolarians and sponge spicules, and accumulated primarily in suboxic outer- to middle-ramp environments. Age constraints from conodonts, foraminifers, and goniatite cephalopods indicate that most are middle Late Mississippian (early Chesterian; early late Visean). Phosphorites form 2- to 40-cm-thick beds of sand- to pebble-sized phosphatic peloids, coated grains, and (or) bioclasts cemented by carbonate, silica, or phosphate that occur through an interval =12 m thick. High gamma-ray response through this interval suggests strongly condensed facies related to sediment starvation and development of phosphatic hardgrounds. Phosphorite textures, such as unconformity-bounded coated grains, record multiple episodes of phosphogenesis and sedimentary reworking. Sharp bed bases and local grading indicate considerable redeposition of phosphatic material into deeper water by storms and (or) gravity flows. \n\nLisburne Group phosphorites contain up to 37 weight percent P2O5, 7.6 weight percent F, 1,030 ppm Y, 517 ppm La, and 166 ppm U. Shale-normalized rare earth element (REE) plots show uniformly large negative Ce anomalies Ce/Ce*=0.11 + or - 0.03) that are interpreted to reflect phosphate deposition in seawater that was greatly depleted in Ce due to increased oxygenation of the atmosphere and oceans during the Carboniferous evolution of large vascular land plants. \n\nBlack shales within the phosphorite sections have up to 20.2 weight percent Corg and are potential petroleum source rocks. Locally, these strata also are metalliferous, with up to 1,690 ppm Cr, 2,831 ppm V, 551 ppm Ni, 4,670 ppm Zn, 312 ppm Cu, 43.5 ppm Ag, and 12.3 ppm Tl; concentrations of these metals covary broadly with Corg, suggesting coupled redox variations. Calculated marine fractions (MF) of Cr, V, and Mo, used to evaluate the paleoredox state of the bottom waters, show generally high CrMF/MoMF and VMF/MoMF ratios that indicate deposition of the black shales under suboxic denitrifying conditions; Re/Mo ratios also plot mainly within the suboxic field and support this interpretation. Predominantly seawater and biogenic sources are indicated for Cr, V, Mo, Zn, Cd, Ni, and Cu in the black shales, with an additional hydrothermal contribution inferred for Zn, Cd, Ag, and Tl in some samples. \n\nLisburne Group phosphorites formed in the Ikpikpuk Basin and along both sides of the mud- and chert-rich Kuna Basin, which hosts giant massive sulfide and barite deposits of the Red Dog district. Lisburne Group phosphatic strata are coeval with these deposits and formed in response to a nutrient-rich upwelling regime. Phosphate deposition occurred mainly in suboxic bottom waters based on data for paleoredox proxies (Cr, V, Mo, Re) within contemporaneous black shales. Recent global reconstructions are consistent with Carboniferous upwelling in northern Alaska, but differ in the type of upwelling expected (zonal versus meridional). Paleoenvironmental data suggest that meridional upwelling may better explain phosphorite deposition in the Lisburne Group.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Studies by the U.S. Geological Survey in Alaska, 2008-2009","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1776C","usgsCitation":"Dumoulin, J.A., Slack, J.F., Whalen, M.T., and Harris, A.G., 2011, Depositional setting and geochemistry of phosphorites and metalliferous black shales in the Carboniferous-Permian Lisburne Group, Northern Alaska: U.S. Geological Survey Professional Paper 1776, iv, 53p., https://doi.org/10.3133/pp1776C.","productDescription":"iv, 53p.","onlineOnly":"Y","ipdsId":"IP-016706","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":116126,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1776_C.gif"},{"id":24365,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1776/c/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -165,68 ], [ -165,69 ], [ -150,69 ], [ -150,68 ], [ -165,68 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab1e4b07f02db66e7ce","contributors":{"authors":[{"text":"Dumoulin, Julie A. 0000-0003-1754-1287 dumoulin@usgs.gov","orcid":"https://orcid.org/0000-0003-1754-1287","contributorId":203209,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Julie","email":"dumoulin@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":351455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":351456,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whalen, Michael T.","contributorId":31852,"corporation":false,"usgs":true,"family":"Whalen","given":"Michael","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":351457,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harris, Anita G.","contributorId":50162,"corporation":false,"usgs":true,"family":"Harris","given":"Anita","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":351458,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70004808,"text":"sir20115036 - 2011 - Wind energy in the United States and materials required for the land-based wind turbine industry from 2010 through 2030","interactions":[],"lastModifiedDate":"2012-02-02T00:15:56","indexId":"sir20115036","displayToPublicDate":"2011-07-12T00:00:00","publicationYear":"2011","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":"2011-5036","title":"Wind energy in the United States and materials required for the land-based wind turbine industry from 2010 through 2030","docAbstract":"The generation of electricity in the United States from wind-powered turbines is increasing. An understanding of the sources and abundance of raw materials required by the wind turbine industry and the many uses for these materials is necessary to assess the effect of this industry's growth on future demand for selected raw materials relative to the historical demand for these materials. The U.S. Geological Survey developed estimates of future requirements for raw (and some recycled) materials based on the assumption that wind energy will supply 20 percent of the electricity consumed in the United States by 2030. Economic, environmental, political, and technological considerations and trends reported for 2009 were used as a baseline. Estimates for the quantity of materials in typical \"current generation\" and \"next generation\" wind turbines were developed. In addition, estimates for the annual and total material requirements were developed based on the growth necessary for wind energy when converted in a wind powerplant to generate 20 percent of the U.S. supply of electricity by 2030. The results of the study suggest that achieving the market goal of 20 percent by 2030 would require an average annual consumption of about 6.8 million metric tons of concrete, 1.5 million metric tons of steel, 310,000 metric tons of cast iron, 40,000 metric tons of copper, and 380 metric tons of the rare-earth element neodymium. With the exception of neodymium, these material requirements represent less than 3 percent of the U.S. apparent consumption for 2008. Recycled material could supply about 3 percent of the total steel required for wind turbine production from 2010 through 2030, 4 percent of the aluminum required, and 3 percent of the copper required. The data suggest that, with the possible exception of rare-earth elements, there should not be a shortage of the principal materials required for electricity generation from wind energy. There may, however, be selective manufacturing shortages if the total demand for raw materials from all markets is greater than the available supply of these materials or the capacity of industry to manufacture components. Changing economic conditions could also affect the development schedule of anticipated capacity.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115036","usgsCitation":"Wilburn, D.R., 2011, Wind energy in the United States and materials required for the land-based wind turbine industry from 2010 through 2030: U.S. Geological Survey Scientific Investigations Report 2011-5036, iv, 19 p.; Appendices, https://doi.org/10.3133/sir20115036.","productDescription":"iv, 19 p.; Appendices","startPage":"i","endPage":"19","numberOfPages":"23","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2010-01-01","temporalEnd":"2030-12-31","costCenters":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"links":[{"id":116600,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5036.gif"},{"id":22681,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5036/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b00e4b07f02db697f26","contributors":{"authors":[{"text":"Wilburn, David R. 0000-0002-5371-7617 wilburn@usgs.gov","orcid":"https://orcid.org/0000-0002-5371-7617","contributorId":1755,"corporation":false,"usgs":true,"family":"Wilburn","given":"David","email":"wilburn@usgs.gov","middleInitial":"R.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":351392,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70003745,"text":"70003745 - 2011 - Abundance of introduced species at home predicts abundance away in herbaceous communities","interactions":[],"lastModifiedDate":"2013-02-19T16:56:34","indexId":"70003745","displayToPublicDate":"2011-07-12T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Abundance of introduced species at home predicts abundance away in herbaceous communities","docAbstract":"Many ecosystems worldwide are dominated by introduced plant species, leading to loss of biodiversity and ecosystem function. A common but rarely tested assumption is that these plants are more abundant in introduced vs. native communities, because ecological or evolutionary-based shifts in populations underlie invasion success. Here, data for 26 herbaceous species at 39 sites, within eight countries, revealed that species abundances were similar at native (home) and introduced (away) sites - grass species were generally abundant home and away, while forbs were low in abundance, but more abundant at home. Sites with six or more of these species had similar community abundance hierarchies, suggesting that suites of introduced species are assembling similarly on different continents. Overall, we found that substantial changes to populations are not necessarily a pre-condition for invasion success and that increases in species abundance are unusual. Instead, abundance at home predicts abundance away, a potentially useful additional criterion for biosecurity programmes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley-Blackwell","publisherLocation":"Malden, MA","doi":"10.1111/j.1461-0248.2010.01584.x","usgsCitation":"Firn, J., Moore, J.L., MacDougall, A.S., Borer, E.T., Seabloom, E.W., HilleRisLambers, J., Harpole, W., Cleland, E., Brown, C.S., Knops, J.M., Prober, S.M., Pyke, D.A., Farrell, K.A., Bakker, J.D., O’Halloran, L.R., Adler, P.B., Collins, S., D'Antonio, C., Crawley, M.J., Wolkovich, E., La Pierre, K.J., Melbourne, B.A., Hautier, Y., Morgan, J.W., Leakey, A.D., Kay, A., McCulley, R., Davies, K.F., Stevens, C.J., Chu, C., Holl, K.D., Klein, J.A., Fay, P.A., Hagenah, N., Kirkman, K.P., and Buckley, Y.M., 2011, Abundance of introduced species at home predicts abundance away in herbaceous communities: Ecology Letters, v. 14, no. 3, p. 274-281, https://doi.org/10.1111/j.1461-0248.2010.01584.x.","productDescription":"8 p.","startPage":"274","endPage":"281","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":474972,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://ir.lzu.edu.cn/handle/262010/114990","text":"External Repository"},{"id":267801,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1461-0248.2010.01584.x"},{"id":204144,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":22511,"rank":9999,"type":{"id":9,"text":"Database"},"url":"https://onlinelibrary.wiley.com/doi/10.1111/j.1461-0248.2010.01584.x/abstract;jsessionid=710BF47CFA6E976692208EC0C5C53768.d02t02?systemMessage=Wiley+Online+Library+will+be+disrupted+2+July+from+10-12+BST+for+monthly+maintenance","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"14","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-02-01","publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699d36","contributors":{"authors":[{"text":"Firn, Jennifer","contributorId":66405,"corporation":false,"usgs":false,"family":"Firn","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":348650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Joslin L.","contributorId":90456,"corporation":false,"usgs":true,"family":"Moore","given":"Joslin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":348663,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacDougall, Andrew S.","contributorId":39509,"corporation":false,"usgs":true,"family":"MacDougall","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":348640,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Borer, Elizabeth T.","contributorId":45049,"corporation":false,"usgs":false,"family":"Borer","given":"Elizabeth","email":"","middleInitial":"T.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":348642,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seabloom, Eric W.","contributorId":60762,"corporation":false,"usgs":false,"family":"Seabloom","given":"Eric","email":"","middleInitial":"W.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":348647,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"HilleRisLambers, Janneke","contributorId":47649,"corporation":false,"usgs":true,"family":"HilleRisLambers","given":"Janneke","email":"","affiliations":[],"preferred":false,"id":348644,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harpole, W. 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We developed a Bayesian network model to integrate potential effects of changing environmental conditions and anthropogenic stressors on the future status of the Pacific walrus population at four periods through the twenty-first century. The model framework allowed for inclusion of various sources and levels of knowledge, and representation of structural and parameter uncertainties. Walrus outcome probabilities through the century reflected a clear trend of worsening conditions for the subspecies. From the current observation period to the end of century, the greatest change in walrus outcome probabilities was a progressive decrease in the outcome state of robust and a concomitant increase in the outcome state of vulnerable. The probabilities of rare and extirpated states each progressively increased but remained <10% through the end of the century. The summed probabilities of vulnerable, rare, and extirpated (P(v,r,e)) increased from a current level of 10% in 2004 to 22% by 2050 and 40% by 2095. The degree of uncertainty in walrus outcomes increased monotonically over future periods. In the model, sea ice habitat (particularly for summer/fall) and harvest levels had the greatest influence on future population outcomes. Other potential stressors had much smaller influences on walrus outcomes, mostly because of uncertainty in their future states and our current poor understanding of their mechanistic influence on walrus abundance.
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