{"pageNumber":"1997","pageRowStart":"49900","pageSize":"25","recordCount":184660,"records":[{"id":70148190,"text":"70148190 - 2009 - Distribution and habitat use of king rails in the Illinois and Upper Mississippi River valleys","interactions":[],"lastModifiedDate":"2015-05-26T09:54:10","indexId":"70148190","displayToPublicDate":"2009-11-01T11:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Distribution and habitat use of king rails in the Illinois and Upper Mississippi River valleys","docAbstract":"<p>The migratory population of the king rail (<i>Rallus elegans</i>) has declined dramatically during the past 40 years, emphasizing the need to identify habitat requirements of this species to help guide conservation efforts. To assess distribution and habitat use of king rails along the Illinois and Upper Mississippi valleys, USA, we conducted repeated call-broadcast surveys at 83 locations in 2006 and 114 locations in 2007 distributed among 21 study sites. We detected king rails at 12 survey locations in 2006 and 14 locations in 2007, illustrating the limited distribution of king rails in this region. We found king rails concentrated at Clarence Cannon National Wildlife Refuge, an adjacent private Wetlands Reserve program site, and B. K. Leach Conservation Area, which were located in the Mississippi River floodplain in northeast Missouri. Using Program PRESENCE, we estimated detection probabilities and built models to identify habitat covariates that were important in king rail site occupancy. Habitat covariates included percentage of cover by tall (&gt; 1 m) and short (&lt;= 1 m) emergent vegetation, percentage of cover of woody vegetation, and interspersion of water and vegetation ( 2007 only) within 50 m of the survey location. Detection probability was 0.43 (SE = 0.12) in 2006 and 0.35 (SE = 0.03) in 2007 and was influenced by observer identity and percentage of cover by tall herbaceous vegetation. Site occupancy was 0.11 (SE = 0.04) in 2006 and 0.14 (SE = 0.04) in 2007 and was negatively influenced most by percentage of cover by woody vegetation. In addition, we found that interspersion of vegetation and water was positively related to occupancy in 2007. Thus, nesting king rails used wetlands that were characterized by high water-vegetation interspersion and little or no cover by woody vegetation. Our results suggest that biologists can improve king rail habitat by implementing management techniques that reduce woody cover and increase vegetation-water interspersion in wetlands.</p>","language":"English","publisher":"Wildlife Society","publisherLocation":"Washington, D.C.","doi":"10.2193/2008-561","usgsCitation":"Darrah, A.J., and Krementz, D.G., 2009, Distribution and habitat use of king rails in the Illinois and Upper Mississippi River valleys: Journal of Wildlife Management, v. 73, no. 8, p. 1380-1386, https://doi.org/10.2193/2008-561.","productDescription":"7 p.","startPage":"1380","endPage":"1386","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-010305","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300770,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"8","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"55659938e4b0d9246a9eb616","contributors":{"authors":[{"text":"Darrah, Abigail J. adarrah@usgs.gov","contributorId":5883,"corporation":false,"usgs":true,"family":"Darrah","given":"Abigail","email":"adarrah@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":547579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krementz, David G. 0000-0002-5661-4541 dkrementz@usgs.gov","orcid":"https://orcid.org/0000-0002-5661-4541","contributorId":2827,"corporation":false,"usgs":true,"family":"Krementz","given":"David","email":"dkrementz@usgs.gov","middleInitial":"G.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547549,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70003412,"text":"70003412 - 2009 - Effects of open marsh water management on numbers of larval salt marsh mosquitoes","interactions":[],"lastModifiedDate":"2021-03-05T18:07:03.258087","indexId":"70003412","displayToPublicDate":"2009-11-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2385,"text":"Journal of Medical Entomology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of open marsh water management on numbers of larval salt marsh mosquitoes","docAbstract":"<p><span>Open marsh water management (OMWM) is a commonly used approach to manage salt marsh mosquitoes than can obviate the need for pesticide application and at the same time, partially restore natural functions of grid-ditched marshes. OMWM includes a variety of hydrologic manipulations, often tailored to the specific conditions on individual marshes, so the overall effectiveness of this approach is difficult to assess. Here, we report the results of controlled field trials to assess the effects of two approaches to OMWM on larval mosquito production at National Wildlife Refuges (NWR). A traditional OMWM approach, using pond construction and radial ditches was used at Edwin B. Forsythe NWR in New Jersey, and a ditch-plugging approach was used at Parker River NWR in Massachusetts. Mosquito larvae were sampled from randomly placed stations on paired treatment and control marshes at each refuge. The proportion of sampling stations that were wet declined after OMWM at the Forsythe site, but not at the Parker River site. The proportion of samples with larvae present and mean larval densities, declined significantly at the treatment sites on both refuges relative to the control marshes. Percentage of control for the 2 yr posttreatment, compared with the 2 yr pretreatment, was &gt;90% at both treatment sites.</span></p>","language":"English","publisher":"Entomological Society of America","doi":"10.1603/033.046.0620","usgsCitation":"James-Pirri, M., Ginsberg, H.S., Erwin, R.M., and Taylor, J., 2009, Effects of open marsh water management on numbers of larval salt marsh mosquitoes: Journal of Medical Entomology, v. 46, no. 6, p. 1392-1399, https://doi.org/10.1603/033.046.0620.","productDescription":"8 p.","startPage":"1392","endPage":"1399","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":476051,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1603/033.046.0620","text":"Publisher Index Page"},{"id":384096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey;Massachusetts","otherGeospatial":"Edwin B. Forsythe National Wildlife Refuge; Parker River National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.2510986328125,\n              39.65487011614291\n            ],\n            [\n              -74.15496826171874,\n              39.65487011614291\n            ],\n            [\n              -74.15496826171874,\n              39.752073271862386\n            ],\n            [\n              -74.2510986328125,\n              39.752073271862386\n            ],\n            [\n              -74.2510986328125,\n              39.65487011614291\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.81787109374999,\n              42.69858589169842\n            ],\n            [\n              -70.7636260986328,\n              42.69858589169842\n            ],\n            [\n              -70.7636260986328,\n              42.768186784785875\n            ],\n            [\n              -70.81787109374999,\n              42.768186784785875\n            ],\n            [\n              -70.81787109374999,\n              42.69858589169842\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"46","issue":"6","noUsgsAuthors":false,"publicationDate":"2009-11-01","publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db611b4c","contributors":{"authors":[{"text":"James-Pirri, Mary-Jane","contributorId":16147,"corporation":false,"usgs":true,"family":"James-Pirri","given":"Mary-Jane","email":"","affiliations":[],"preferred":false,"id":347209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ginsberg, Howard S. 0000-0002-4933-2466 hginsberg@usgs.gov","orcid":"https://orcid.org/0000-0002-4933-2466","contributorId":3204,"corporation":false,"usgs":true,"family":"Ginsberg","given":"Howard","email":"hginsberg@usgs.gov","middleInitial":"S.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":347208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erwin, R. Michael 0000-0003-2108-9502","orcid":"https://orcid.org/0000-0003-2108-9502","contributorId":57125,"corporation":false,"usgs":true,"family":"Erwin","given":"R.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":347210,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Janith","contributorId":66832,"corporation":false,"usgs":true,"family":"Taylor","given":"Janith","affiliations":[],"preferred":false,"id":347211,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042791,"text":"70042791 - 2009 - Sources and distribution of organic compounds using passive samplers in Lake Mead National Recreation Area, Nevada and Arizona, and their implications for potential effects on aquatic biota.","interactions":[],"lastModifiedDate":"2018-10-20T09:43:42","indexId":"70042791","displayToPublicDate":"2009-11-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Sources and distribution of organic compounds using passive samplers in Lake Mead National Recreation Area, Nevada and Arizona, and their implications for potential effects on aquatic biota.","docAbstract":"<p>Th e delineation of lateral and vertical gradients of organic contaminants in lakes is hampered by low concentrations and nondetection of many organic compounds in water. Passive samplers (semipermeable membrane devices [SPMDs] and polar organic chemical integrative samplers [POCIS]) are well suited for assessing gradients because they can detect synthetic organic compounds (SOCs) at pg L-1 concentrations. Semi-permeable membrane devices and POCIS were deployed in Lake Mead, at two sites in Las Vegas Wash, at four sites across Lake Mead, and in the Colorado River downstream from Hoover Dam. Concentrations of hydrophobic SOCs were highest in Las Vegas Wash downstream from waste water and urban inputs and at 8 m depth in Las Vegas Bay (LVB) where Las Vegas Wash enters Lake Mead. Th e distribution of hydrophobic SOCs showed a lateral distribution across 10 km of Lake Mead from LVB to Boulder Basin. To assess possible vertical gradients of SOCs, SPMDs were deployed at 4-m intervals in 18 m of water in LVB. Fragrances and legacy SOCs were found at the greatest concentrations at the deepest depth. Th e vertical gradient of SOCs indicated that contaminants were generally confi ned to within 6 m of the lake bottom during the deployment interval. The high SOC concentrations, warmer water temperatures, and higher total dissolved solids concentrations at depth are indicative of a plume of Las Vegas Wash water moving along the lake bottom. Th e lateral and vertical distribution of SOCs is discussed in the context of other studies that have shown impaired health of fish exposed to SOCs.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Quality","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2134/jeq2009.0095","usgsCitation":"Rosen, M.R., Alvarez, D.A., Goodbred, S.L., Leiker, T.J., and Patino, R., 2009, Sources and distribution of organic compounds using passive samplers in Lake Mead National Recreation Area, Nevada and Arizona, and their implications for potential effects on aquatic biota.: Journal of Environmental Quality, v. 39, no. 7-8, p. 1161-1172, https://doi.org/10.2134/jeq2009.0095.","productDescription":"12 p.","startPage":"1161","endPage":"1172","ipdsId":"IP-004408","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":476050,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2009.0095","text":"Publisher Index Page"},{"id":269012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269011,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2009.0095"}],"country":"United States","volume":"39","issue":"7-8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd735fe4b0b29085108e77","contributors":{"authors":[{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alvarez, David A. 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":1369,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":472279,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goodbred, Steven L. sgoodbred@usgs.gov","contributorId":497,"corporation":false,"usgs":true,"family":"Goodbred","given":"Steven","email":"sgoodbred@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":472278,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leiker, Thomas J.","contributorId":47805,"corporation":false,"usgs":true,"family":"Leiker","given":"Thomas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":472281,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":472280,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044695,"text":"70044695 - 2009 - Hydrothermal processes above the Yellowstone magma chamber: Large hydrothermal systems and large hydrothermal explosions","interactions":[],"lastModifiedDate":"2021-03-12T18:16:31.066491","indexId":"70044695","displayToPublicDate":"2009-11-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3459,"text":"Special Paper of the Geological Society of America","active":true,"publicationSubtype":{"id":10}},"title":"Hydrothermal processes above the Yellowstone magma chamber: Large hydrothermal systems and large hydrothermal explosions","docAbstract":"<p>Hydrothermal explosions are violent and dramatic events resulting in the rapid ejection of boiling water, steam, mud, and rock fragments from source craters that range from a few meters up to more than 2 km in diameter; associated breccia can be emplaced as much as 3 to 4 km from the largest craters. Hydrothermal explosions occur where shallow interconnected reservoirs of steam- and liquid-saturated fluids with temperatures at or near the boiling curve underlie thermal fields. Sudden reduction in confining pressure causes fluids to flash to steam, resulting in significant expansion, rock fragmentation, and debris ejection.</p><p>In Yellowstone, hydrothermal explosions are a potentially significant hazard for visitors and facilities and can damage or even destroy thermal features. The breccia deposits and associated craters formed from hydrothermal explosions are mapped as mostly Holocene (the Mary Bay deposit is older) units throughout Yellowstone National Park (YNP) and are spatially related to within the 0.64-Ma Yellowstone caldera and along the active Norris-Mammoth tectonic corridor.</p><p>In Yellowstone, at least 20 large (&gt;100 m in diameter) hydrothermal explosion craters have been identified; the scale of the individual associated events dwarfs similar features in geothermal areas elsewhere in the world. Large hydrothermal explosions in Yellowstone have occurred over the past 16 ka averaging ~1 every 700 yr; similar events are likely in the future. Our studies of large hydrothermal explosion events indicate: (1) none are directly associated with eruptive volcanic or shallow intrusive events; (2) several historical explosions have been triggered by seismic events; (3) lithic clasts and comingled matrix material that form hydrothermal explosion deposits are extensively altered, indicating that explosions occur in areas subjected to intense hydrothermal processes; (4) many lithic clasts contained in explosion breccia deposits preserve evidence of repeated fracturing and vein-filling; and (5) areal dimensions of many large hydrothermal explosion craters in Yellowstone are similar to those of its active geyser basins and thermal areas. For Yellowstone, our knowledge of hydrothermal craters and ejecta is generally limited to after the Yellowstone Plateau emerged from beneath a late Pleistocene icecap that was roughly a kilometer thick. Large hydrothermal explosions may have occurred earlier as indicated by multiple episodes of cementation and brecciation commonly observed in hydrothermal ejecta clasts.</p><p>Critical components for large, explosive hydrothermal systems include a water-saturated system at or near boiling temperatures and an interconnected system of well-developed joints and fractures along which hydrothermal fluids flow. Active deformation of the Yellowstone caldera, active faulting and moderate local seismicity, high heat flow, rapid changes in climate, and regional stresses are factors that have strong influences on the type of hydrothermal system developed. Ascending hydrothermal fluids flow along fractures that have developed in response to active caldera deformation and along edges of low-permeability rhyolitic lava flows. Alteration of the area affected, self-sealing leading to development of a caprock for the hydrothermal system, and dissolution of silica-rich rocks are additional factors that may constrain the distribution and development of hydrothermal fields. A partial low-permeability layer that acts as a cap to the hydrothermal system may produce some over-pressurization, thought to be small in most systems. Any abrupt drop in pressure initiates steam flashing and is rapidly transmitted through interconnected fractures that result in a series of multiple large-scale explosions contributing to the excavation of a larger explosion crater. Similarities between the size and dimensions of large hydrothermal explosion craters and thermal fields in Yellowstone may indicate that catastrophic events which result in large hydrothermal explosions are an end phase in geyser basin evolution.</p><p>The Mary Bay hydrothermal explosion crater complex is the largest such complex in Yellowstone, and possibly in the world, with a diameter of 2.8 km in length and 2.4 km in width. It is nested in Mary Bay in the northern basin of Yellowstone Lake, an area of high heat flow and active deformation within the Yellowstone caldera. A sedimentary sequence exposed in wave-cut cliffs between Storm Point and Mary Bay gives insight into the geologic history of the Mary Bay hydrothermal explosion event. The Mary Bay explosion breccia deposits overlie sand above varved lake sediments and are separated locally into an upper and lower unit. The sand unit contains numerous small normal faults and is coextensive with the Mary Bay breccia in its northern extent. This sand may represent deposits of an earthquake-generated wave. Seismicity associated with the earthquake may have triggered the hydrothermal explosion responsible for development of the Mary Bay crater complex. Large hydrothermal explosions are rare events on a human time scale; however, the potential for additional future events of the sort in Yellowstone National Park is not insignificant. Based on the occurrence of large hydrothermal explosion events over the past 16,000 yr, an explosion large enough to create a 100-m-wide crater might be expected every 200 yr.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2009.2459(01)","usgsCitation":"Morgan, L.A., Shanks, P., and Pierce, K.L., 2009, Hydrothermal processes above the Yellowstone magma chamber: Large hydrothermal systems and large hydrothermal explosions: Special Paper of the Geological Society of America, v. 459, 95 p., https://doi.org/10.1130/2009.2459(01).","productDescription":"95 p.","ipdsId":"IP-011176","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":384364,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.775146484375,\n              44.55622782328973\n            ],\n            [\n              -110.40710449218749,\n              44.55622782328973\n            ],\n            [\n              -110.40710449218749,\n              44.698921513917945\n            ],\n            [\n              -110.775146484375,\n              44.698921513917945\n            ],\n            [\n              -110.775146484375,\n              44.55622782328973\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"459","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5165386be4b077fa94dadfae","contributors":{"authors":[{"text":"Morgan, Lisa A.","contributorId":66300,"corporation":false,"usgs":true,"family":"Morgan","given":"Lisa","email":"","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":476241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shanks, Pat","contributorId":60514,"corporation":false,"usgs":true,"family":"Shanks","given":"Pat","email":"","affiliations":[],"preferred":false,"id":476240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pierce, Kenneth L. kpierce@usgs.gov","contributorId":1609,"corporation":false,"usgs":true,"family":"Pierce","given":"Kenneth","email":"kpierce@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":476239,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70179510,"text":"70179510 - 2009 - Ecological factors influencing nest survival of greater sage-grouse in Mono County, California","interactions":[],"lastModifiedDate":"2017-01-04T10:45:15","indexId":"70179510","displayToPublicDate":"2009-11-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Ecological factors influencing nest survival of greater sage-grouse in Mono County, California","docAbstract":"<p><span>We studied nest survival of greater sage-grouse (</span><i>Centrocercus urophasianus</i><span>) in 5 subareas of Mono County, California, USA, from 2003 to 2005 to 1) evaluate the importance of key vegetation variables for nest success, and 2) to compare nest success in this population with other greater sage-grouse populations. We captured and radiotracked females (</span><i>n</i><span>  =  72) to identify nest sites and monitor nest survival. We measured vegetation at nest sites and within a 10-m radius around each nest to evaluate possible vegetation factors influencing nest survival. We estimated daily nest survival and the effect of explanatory variables on daily nest survival using nest-survival models in Program MARK. We assessed effects on daily nest survival of total, sagebrush (</span><i>Artemisia</i><span> spp.), and nonsagebrush live shrub-cover, Robel visual obstruction, the mean of grass residual height and grass residual cover measurements within 10 m of the nest shrub, and area of the shrub, shrub height, and shrub type at the nest site itself. Assuming a 38-day exposure period, we estimated nest survival at 43.4%, with percent cover of shrubs other than sagebrush as the variable most related to nest survival. Nest survival increased with increasing cover of shrubs other than sagebrush. Also, daily nest survival decreased with nest age, and there was considerable variation in nest survival among the 5 subareas. Our results indicate that greater shrub cover and a diversity of shrub species within sagebrush habitats may be more important to sage-grouse nest success in Mono County than has been reported elsewhere.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.2193/2008-339","usgsCitation":"Kolada, E.J., Casazza, M.L., and Sedinger, J.S., 2009, Ecological factors influencing nest survival of greater sage-grouse in Mono County, California: Journal of Wildlife Management, v. 73, no. 8, p. 1341-1347, https://doi.org/10.2193/2008-339.","productDescription":"7 p.","startPage":"1341","endPage":"1347","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":332819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Mono County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-119.5771,38.7084],[-119.5523,38.6912],[-119.5498,38.6895],[-119.4543,38.6231],[-119.4492,38.6196],[-119.3306,38.5364],[-119.2389,38.4722],[-119.218,38.4575],[-119.1743,38.4271],[-119.1538,38.4127],[-119.1416,38.4042],[-119.0196,38.3179],[-118.9933,38.2993],[-118.9547,38.272],[-118.9464,38.2663],[-118.9117,38.2417],[-118.8591,38.2047],[-118.8307,38.1843],[-118.7901,38.1554],[-118.7779,38.1467],[-118.721,38.106],[-118.6108,38.0273],[-118.5479,37.9824],[-118.5031,37.9504],[-118.4701,37.9269],[-118.4271,37.8959],[-118.3944,37.8726],[-118.3573,37.8459],[-118.2878,37.7957],[-118.1844,37.7208],[-118.1091,37.6663],[-118.0805,37.6453],[-118.0559,37.6273],[-118.0227,37.6028],[-117.9519,37.5509],[-117.8357,37.4655],[-117.918,37.4653],[-117.9794,37.4647],[-118.0009,37.4645],[-118.3135,37.463],[-118.346,37.4628],[-118.3709,37.4626],[-118.375,37.4622],[-118.4068,37.4625],[-118.4213,37.4626],[-118.4544,37.4629],[-118.5153,37.4634],[-118.5309,37.4636],[-118.5495,37.4637],[-118.5669,37.4638],[-118.5918,37.4636],[-118.6109,37.4637],[-118.6248,37.4638],[-118.6417,37.4639],[-118.7489,37.4642],[-118.7756,37.4639],[-118.7917,37.4821],[-118.8014,37.4917],[-118.8119,37.4868],[-118.8177,37.4882],[-118.8253,37.4841],[-118.834,37.4815],[-118.8392,37.4824],[-118.8526,37.477],[-118.859,37.4821],[-118.8606,37.4902],[-118.8606,37.4979],[-118.8652,37.5038],[-118.8692,37.5075],[-118.8785,37.508],[-118.8825,37.5103],[-118.8842,37.5185],[-118.8957,37.5253],[-118.9027,37.5258],[-118.9038,37.5326],[-118.9095,37.5376],[-118.917,37.5494],[-118.9275,37.5481],[-118.9379,37.5518],[-118.9425,37.56],[-118.9453,37.5636],[-118.9505,37.5646],[-118.9616,37.5619],[-118.9645,37.5578],[-118.9727,37.5588],[-118.9785,37.5565],[-118.9808,37.5602],[-118.9825,37.5643],[-118.9906,37.5666],[-119.001,37.5702],[-119.0057,37.5725],[-119.0114,37.5793],[-119.0236,37.5857],[-119.0253,37.5903],[-119.0282,37.5953],[-119.0345,37.6048],[-119.0327,37.6071],[-119.0309,37.6161],[-119.0321,37.622],[-119.0321,37.6247],[-119.043,37.6343],[-119.0506,37.6398],[-119.0534,37.6416],[-119.0603,37.6539],[-119.0626,37.6702],[-119.0695,37.6838],[-119.0764,37.6929],[-119.0932,37.7038],[-119.1013,37.7134],[-119.1065,37.722],[-119.1175,37.7302],[-119.1262,37.7329],[-119.1361,37.7357],[-119.1466,37.7335],[-119.1617,37.7362],[-119.1762,37.7367],[-119.1879,37.7367],[-119.1943,37.7372],[-119.2013,37.7354],[-119.2112,37.7205],[-119.2206,37.7146],[-119.2281,37.716],[-119.2444,37.7292],[-119.2484,37.7305],[-119.2543,37.7287],[-119.2578,37.726],[-119.2682,37.7396],[-119.2571,37.7428],[-119.253,37.7478],[-119.2548,37.7555],[-119.2489,37.7573],[-119.2431,37.7695],[-119.2384,37.7731],[-119.2308,37.7749],[-119.2262,37.7781],[-119.2203,37.7799],[-119.2186,37.7831],[-119.2139,37.7907],[-119.2075,37.7925],[-119.2028,37.7957],[-119.201,37.8016],[-119.2056,37.8102],[-119.2138,37.8134],[-119.2196,37.8198],[-119.2161,37.8247],[-119.2097,37.8261],[-119.2061,37.8283],[-119.2079,37.8333],[-119.209,37.8379],[-119.2026,37.8406],[-119.2014,37.8433],[-119.2026,37.8465],[-119.2084,37.8474],[-119.216,37.8465],[-119.2183,37.8479],[-119.2136,37.8565],[-119.2165,37.8678],[-119.2147,37.8732],[-119.2124,37.8755],[-119.2071,37.8809],[-119.2094,37.8895],[-119.2175,37.8991],[-119.2292,37.9068],[-119.2402,37.9095],[-119.2443,37.9105],[-119.256,37.9087],[-119.2618,37.91],[-119.263,37.9105],[-119.2665,37.9155],[-119.267,37.9246],[-119.2804,37.9323],[-119.2915,37.9328],[-119.2944,37.9368],[-119.2944,37.9414],[-119.3096,37.945],[-119.3154,37.9573],[-119.3218,37.9682],[-119.32,37.974],[-119.3159,37.979],[-119.3171,37.9822],[-119.3179,37.9864],[-119.3088,38.0067],[-119.3083,38.0192],[-119.3049,38.0238],[-119.312,38.0451],[-119.3225,38.0495],[-119.3235,38.0589],[-119.327,38.0658],[-119.3358,38.0661],[-119.3451,38.0827],[-119.3497,38.0842],[-119.3574,38.0828],[-119.3805,38.092],[-119.3899,38.0982],[-119.3979,38.1063],[-119.4131,38.1078],[-119.4232,38.1071],[-119.4305,38.1165],[-119.4411,38.1034],[-119.4407,38.0967],[-119.4465,38.0937],[-119.4579,38.0959],[-119.4635,38.0976],[-119.4647,38.1038],[-119.4613,38.1096],[-119.4723,38.1179],[-119.4698,38.1287],[-119.487,38.1314],[-119.4891,38.1441],[-119.4967,38.1495],[-119.4972,38.1566],[-119.4992,38.1582],[-119.5022,38.1573],[-119.5045,38.1528],[-119.5045,38.1437],[-119.5022,38.1378],[-119.5045,38.136],[-119.5162,38.1374],[-119.5303,38.1423],[-119.5461,38.1523],[-119.5502,38.1537],[-119.5677,38.155],[-119.5753,38.1577],[-119.5771,38.1623],[-119.5783,38.1758],[-119.5806,38.179],[-119.5853,38.1826],[-119.5906,38.1845],[-119.5929,38.1858],[-119.607,38.1867],[-119.6269,38.1935],[-119.6316,38.2003],[-119.6258,38.2071],[-119.624,38.2252],[-119.624,38.2288],[-119.6193,38.232],[-119.6053,38.2347],[-119.6094,38.2415],[-119.6141,38.2438],[-119.6211,38.2506],[-119.6141,38.2574],[-119.613,38.2619],[-119.6165,38.2637],[-119.62,38.2669],[-119.6276,38.2669]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Eric J.","contributorId":76840,"corporation":false,"usgs":true,"family":"Kolada","given":"Eric","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":657512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":657513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sedinger, James S.","contributorId":84861,"corporation":false,"usgs":false,"family":"Sedinger","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":657514,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192430,"text":"70192430 - 2009 - Buckets of ash track tephra flux from Halema'uma'u Crater, Hawai'i","interactions":[],"lastModifiedDate":"2019-04-25T10:29:18","indexId":"70192430","displayToPublicDate":"2009-11-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3879,"text":"Eos, Earth and Space Science News","active":true,"publicationSubtype":{"id":10}},"title":"Buckets of ash track tephra flux from Halema'uma'u Crater, Hawai'i","docAbstract":"<p>The 2008–2009 eruption at Kīlauea Volcano's summit made news because of its eight small discrete explosive eruptions and noxious volcanic smog (vog) created from outgassing sulfur dioxide. Less appreciated is the ongoing, weak, but continuous output of tephra, primarily ash, from the new open vent in Halema'uma'u Crater. This tephra holds clues to processes causing the eruption and forming the new crater-in-a-crater, and its flux is important to hazard evaluations.</p><p>The setting of the vent–easily accessible from the Hawaiian Volcano Observatory (HVO)—is unusually favorable for neardaily tracking of tephra mass flux during this small prolonged basaltic eruption. Recognizing this, scientists from HVO are collecting ash and documenting how ejection masses, components, and chemical compositions vary through time.</p>","language":"English","publisher":"AGU","doi":"10.1029/2009EO460003","usgsCitation":"Swanson, D., Wooten, K., and Orr, T.R., 2009, Buckets of ash track tephra flux from Halema'uma'u Crater, Hawai'i: Eos, Earth and Space Science News, v. 90, no. 46, p. 427-428, https://doi.org/10.1029/2009EO460003.","productDescription":"2 p.","startPage":"427","endPage":"428","numberOfPages":"2","ipdsId":"IP-015669","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":476049,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009eo460003","text":"Publisher Index Page"},{"id":347414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Halema`uma`u Crater","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.29951572418213,\n              19.39548469625456\n            ],\n            [\n              -155.2686595916748,\n              19.39548469625456\n            ],\n            [\n              -155.2686595916748,\n              19.422887245219854\n            ],\n            [\n              -155.29951572418213,\n              19.422887245219854\n            ],\n            [\n              -155.29951572418213,\n              19.39548469625456\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"90","issue":"46","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2011-06-03","publicationStatus":"PW","scienceBaseUri":"59f1a2abe4b0220bbd9d9fe4","contributors":{"authors":[{"text":"Swanson, Don 0000-0002-1680-3591 donswan@usgs.gov","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":168817,"corporation":false,"usgs":true,"family":"Swanson","given":"Don","email":"donswan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":715796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wooten, Kelly M.","contributorId":76838,"corporation":false,"usgs":true,"family":"Wooten","given":"Kelly M.","affiliations":[],"preferred":false,"id":715797,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Orr, Tim R. 0000-0003-1157-7588 torr@usgs.gov","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":149803,"corporation":false,"usgs":true,"family":"Orr","given":"Tim","email":"torr@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":715798,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70043985,"text":"70043985 - 2009 - Reassessment of the predatory effects of rainbow smelt on ciscoes in Lake Superior","interactions":[],"lastModifiedDate":"2025-02-07T15:45:35.509433","indexId":"70043985","displayToPublicDate":"2009-11-01T00:00:00","publicationYear":"2009","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":"Reassessment of the predatory effects of rainbow smelt on ciscoes in Lake Superior","docAbstract":"<p><span>Evidence from small lakes suggests that predation on larval ciscoes&nbsp;</span><i>Coregonus artedi</i><span>&nbsp;by nonnative rainbow smelt&nbsp;</span><i>Osmerus mordax</i><span>&nbsp;can lead to cisco suppression or extirpation. However, evidence from larger lakes has led to equivocal conclusions. In this study, we examine the potential predation effects of rainbow smelt in two adjacent but contrasting embayments in Lake Superior (Thunder and Black bays, Ontario). During May 2006, we sampled the ichthyoplankton, pelagic fish communities, and diet composition of rainbow smelt in both bays. Using acoustics and midwater trawling, we estimated rainbow smelt densities to be 476 ± 34/ha (mean ± SE) in Thunder Bay and 3,435 ± 460/ha in Black Bay. We used a bioenergetics model to estimate the proportion of cisco larvae consumed by rainbow smelt. Our results suggest that predation by rainbow smelt accounts for 15–52% and 37–100% of the mortality of larval ciscoes in Thunder and Black bays, respectively, depending on the predator feeding rate and the scale of predator–prey overlap. We also examined the sensitivity of past conclusions (based on 1974 field collections) to assumptions of temporal overlap between rainbow smelt and larval ciscoes and estimates of rainbow smelt abundance derived from bottom trawl samples. After adjusting these parameters to reflect current understanding, we found that the previous predation estimates may have been conservative. We conclude that rainbow smelt may have been a more important contributor to the demise and slow recovery of ciscoes in Lake Superior than previously thought.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1577/T08-131.1","usgsCitation":"Myers, J., Jones, M., Stockwell, J.D., and Yule, D., 2009, Reassessment of the predatory effects of rainbow smelt on ciscoes in Lake Superior: Transactions of the American Fisheries Society, v. 138, no. 6, p. 1352-1368, https://doi.org/10.1577/T08-131.1.","productDescription":"17 p.","startPage":"1352","endPage":"1368","ipdsId":"IP-007124","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":269330,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269329,"rank":1,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1577/T08-131.1"}],"country":"Canada, United States","otherGeospatial":"Lake Superior","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.1782,46.3645 ], [ -92.1782,49.0761 ], [ -84.3098,49.0761 ], [ -84.3098,46.3645 ], [ -92.1782,46.3645 ] ] ] } } ] }","volume":"138","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-01-09","publicationStatus":"PW","scienceBaseUri":"5142f180e4b073a963ff65e0","contributors":{"authors":[{"text":"Myers, Jared T. 0009-0004-9362-8792","orcid":"https://orcid.org/0009-0004-9362-8792","contributorId":44055,"corporation":false,"usgs":false,"family":"Myers","given":"Jared T.","affiliations":[{"id":6596,"text":"Quantitative Fisheries Center, Department of Fisheries and Wildlife Michigan State University","active":true,"usgs":false}],"preferred":false,"id":474580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Michael L.","contributorId":7219,"corporation":false,"usgs":false,"family":"Jones","given":"Michael L.","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":474579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockwell, Jason D. 0000-0003-3393-6799","orcid":"https://orcid.org/0000-0003-3393-6799","contributorId":61004,"corporation":false,"usgs":false,"family":"Stockwell","given":"Jason","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":474581,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yule, Daniel L.","contributorId":92130,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel L.","affiliations":[],"preferred":false,"id":474582,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70003421,"text":"70003421 - 2009 - Effects of wildlife forestry on abundance of breeding birds in bottomland hardwood forests of Louisiana","interactions":[],"lastModifiedDate":"2021-03-05T19:24:06.076685","indexId":"70003421","displayToPublicDate":"2009-11-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects of wildlife forestry on abundance of breeding birds in bottomland hardwood forests of Louisiana","docAbstract":"<p><span>Effects of silvicultural activities on birds are of increasing interest because of documented national declines in breeding bird populations for some species and the potential that these declines are in part due to changes in forest habitat. Silviculturally induced disturbances have been advocated as a means to achieve suitable forest conditions for priority wildlife species in bottomland hardwood forests. We evaluated how silvicultural activities on conservation lands in bottomland hardwood forests of Louisiana, USA, influenced species-specific densities of breeding birds. Our data were from independent studies, which used standardized point-count surveys for breeding birds in 124 bottomland hardwood forest stands on 12 management areas. We used Program DISTANCE 5.0, Release 2.0 (</span>Thomas et al. 2006<span>) to estimate density for 43 species with &gt;50 detections. For 36 of those species we compared density estimates among harvest regimes (individual selection, group selection, extensive harvest, and no harvest). We observed 10 species with similar densities in those harvest regimes compared with densities in stands not harvested. However, we observed 10 species that were negatively impacted by harvest with greater densities in stands not harvested, 9 species with greater densities in individual selection stands, 4 species with greater densities in group selection stands, and 4 species with greater densities in stands receiving an extensive harvest (e.g., &gt;40% canopy removal). Differences in intensity of harvest influenced densities of breeding birds. Moreover, community-wide avian conservation values of stands subjected to individual and group selection, and stands not harvested, were similar to each other and greater than that of stands subjected to extensive harvest that removed &gt;40% canopy cover. These results have implications for managers estimating breeding bird populations, in addition to predicting changes in bird communities as a result of prescribed and future forest management practices.</span></p>","language":"English","publisher":"Wiley","doi":"10.2193/2008-497","usgsCitation":"Norris, J.L., Chamberlain, M.J., and Twedt, D.J., 2009, Effects of wildlife forestry on abundance of breeding birds in bottomland hardwood forests of Louisiana: Journal of Wildlife Management, v. 73, no. 8, p. 1368-1379, https://doi.org/10.2193/2008-497.","productDescription":"12 p.","startPage":"1368","endPage":"1379","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":384099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.10888671875,\n              33.04550781490999\n            ],\n            [\n              -94.06494140625,\n              32.10118973232094\n            ],\n            [\n              -93.58154296875,\n              31.147006308556566\n            ],\n            [\n              -93.75732421875,\n              30.372875188118016\n            ],\n            [\n              -93.8232421875,\n              29.76437737516313\n            ],\n            [\n              -92.26318359375,\n              29.477861195816843\n            ],\n            [\n              -90.966796875,\n              29.152161283318915\n            ],\n            [\n              -90.10986328125,\n              29.017748018496047\n            ],\n            [\n              -89.01123046875,\n              29.05616970274342\n            ],\n            [\n              -89.384765625,\n              30.221101852485987\n            ],\n            [\n              -89.97802734375,\n              29.99300228455108\n            ],\n            [\n              -90.37353515625,\n              30.050076521698735\n            ],\n            [\n              -91.23046875,\n              30.467614102257855\n            ],\n            [\n              -91.62597656249999,\n              31.071755902820133\n            ],\n            [\n              -91.4501953125,\n              31.653381399664\n            ],\n            [\n              -90.98876953125,\n              32.36140331527543\n            ],\n            [\n              -91.23046875,\n              33.00866349457558\n            ],\n            [\n              -94.10888671875,\n              33.04550781490999\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"73","issue":"8","noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"4f4e4a26e4b07f02db60fb46","contributors":{"authors":[{"text":"Norris, Jennifer L.","contributorId":74865,"corporation":false,"usgs":true,"family":"Norris","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":347238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chamberlain, Michael J.","contributorId":53932,"corporation":false,"usgs":true,"family":"Chamberlain","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":347237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Twedt, Daniel J. 0000-0003-1223-5045 dtwedt@usgs.gov","orcid":"https://orcid.org/0000-0003-1223-5045","contributorId":398,"corporation":false,"usgs":true,"family":"Twedt","given":"Daniel","email":"dtwedt@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":347236,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043336,"text":"70043336 - 2009 - Comprehensive inter-laboratory calibration of reference materials for δ18O versus VSMOW using various on-line high-temperature conversion techniques","interactions":[],"lastModifiedDate":"2017-06-01T13:34:59","indexId":"70043336","displayToPublicDate":"2009-11-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3233,"text":"Rapid Communications in Mass Spectrometry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Comprehensive inter-laboratory calibration of reference materials for δ<sup>18</sup>O versus VSMOW using various on-line high-temperature conversion techniques","title":"Comprehensive inter-laboratory calibration of reference materials for δ18O versus VSMOW using various on-line high-temperature conversion techniques","docAbstract":"<p>Internationally distributed organic and inorganic oxygen isotopic reference materials have been calibrated by six laboratories carrying out more than 5300 measurements using a variety of high-temperature conversion techniques (HTC)&nbsp;in an evaluation sponsored by the International Union of Pure and Applied Chemistry (IUPAC). To aid in the calibration of these reference materials, which span more than 125‰, an artificially enriched reference water (<i>δ</i><sup>18</sup>O of +78.91‰) and two barium sulfates (one depleted and one enriched in <sup>18</sup>O) were prepared and calibrated relative to VSMOW2&nbsp;and SLAP reference waters. These materials were used to calibrate the other isotopic reference materials in this study, which yielded:</p><div id=\"scrollable-1496341670582\" class=\"table__overflow js-module scrollable\" data-module=\"Table\"><table class=\"table table--article-section mce-item-table\" border=\"0\"><thead class=\"table__header table__header-data--bottom\"><tr class=\"table__row\"><th class=\"table__header-data table-border--bottom \">Reference material</th><th class=\"table__header-data table-border--bottom \"><i>δ</i><sup>18</sup>O and estimated combined uncertainty&nbsp;</th></tr></thead><tbody class=\"table__body table__data--top\"><tr class=\"table__row\"><td class=\"table__data \">IAEA-602 benzoic acid</td><td class=\"table__data table__data--center \">+71.28 ± 0.36‰</td></tr><tr class=\"table__row\"><td class=\"table__data \">USGS35 sodium nitrate</td><td class=\"table__data table__data--center \">+56.81 ± 0.31‰</td></tr><tr class=\"table__row\"><td class=\"table__data \">IAEA-NO-3 potassium nitrate</td><td class=\"table__data table__data--center \">+25.32 ± 0.29‰</td></tr><tr class=\"table__row\"><td class=\"table__data \">IAEA-601 benzoic acid</td><td class=\"table__data table__data--center \">+23.14 ± 0.19‰</td></tr><tr class=\"table__row\"><td class=\"table__data \">IAEA-SO-5 barium sulfate</td><td class=\"table__data table__data--center \">+12.13 ± 0.33‰</td></tr><tr class=\"table__row\"><td class=\"table__data \">NBS 127 barium sulfate</td><td class=\"table__data table__data--center \">+8.59 ± 0.26‰</td></tr><tr class=\"table__row\"><td class=\"table__data \">VSMOW2 water</td><td class=\"table__data table__data--center \">0‰</td></tr><tr class=\"table__row\"><td class=\"table__data \">IAEA-600 caffeine</td><td class=\"table__data table__data--center \">−3.48 ± 0.53‰</td></tr><tr class=\"table__row\"><td class=\"table__data \">IAEA-SO-6 barium sulfate</td><td class=\"table__data table__data--center \">−11.35 ± 0.31‰</td></tr><tr class=\"table__row\"><td class=\"table__data \">USGS34 potassium nitrate</td><td class=\"table__data table__data--center \">−27.78 ± 0.37‰</td></tr><tr class=\"table__row\"><td class=\"table__data \">SLAP water</td><td class=\"table__data table__data--center \">−55.5‰</td></tr></tbody></table></div><p>The seemingly large estimated combined uncertainties arise from differences in instrumentation and methodology and difficulty in accounting for all measurement bias. They are composed of the 3-fold standard errors directly calculated from the measurements and provision for systematic errors discussed in this paper. A primary conclusion of this study is that nitrate samples analyzed for <i>δ</i><sup>18</sup>O should be analyzed with internationally distributed isotopic nitrates, and likewise for sulfates and organics. Authors reporting relative differences of oxygen-isotope ratios (<i>δ</i><sup>18</sup>O) of nitrates, sulfates, or organic material should explicitly state in their reports the <i>δ</i><sup>18</sup>O values of two or more internationally distributed nitrates (USGS34, IAEA-NO-3, and USGS35), sulfates (IAEA-SO-5, IAEA-SO-6, and NBS 127), or organic material (IAEA-601 benzoic acid, IAEA-602 benzoic acid, and IAEA-600 caffeine), as appropriate to the material being analyzed, had these reference materials been analyzed with unknowns. This procedure ensures that readers will be able to normalize the <i>δ</i><sup>18</sup>O values at a later time should it become necessary.</p><p>The high-temperature reduction technique for analyzing <i>δ</i><sup>18</sup>O and <i>δ</i><sup>2</sup>H is not as widely applicable as the well-established combustion technique for carbon and nitrogen stable isotope determination. To obtain the most reliable stable isotope data, materials should be treated in an identical fashion; within the same sequence of analyses, samples should be compared with working reference materials that are as similar in nature and in isotopic composition as feasible.</p>","language":"English","publisher":"Wiley","doi":"10.1002/rcm.3958","usgsCitation":"Brand, W., Coplen, T.B., Aerts-Bijma, A.T., Bohlke, J., Gehre, M., Geilmann, H., Groning, M., Jansen, H.G., Meijer, H.A., Mroczkowski, S.J., Qi, H., Soergel, K., Stuart-Williams, H., Weise, S.M., and Werner, R.A., 2009, Comprehensive inter-laboratory calibration of reference materials for δ18O versus VSMOW using various on-line high-temperature conversion techniques: Rapid Communications in Mass Spectrometry, v. 23, p. 999-1019, https://doi.org/10.1002/rcm.3958.","productDescription":"21 p.","startPage":"999","endPage":"1019","numberOfPages":"21","ipdsId":"IP-010249","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true}],"links":[{"id":269014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267270,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rcm.3958"}],"volume":"23","noUsgsAuthors":false,"publicationDate":"2009-03-04","publicationStatus":"PW","scienceBaseUri":"53cd5252e4b0b290850f4756","contributors":{"authors":[{"text":"Brand, Willi A.","contributorId":38866,"corporation":false,"usgs":true,"family":"Brand","given":"Willi A.","affiliations":[],"preferred":false,"id":473416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":473413,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aerts-Bijma, Anita T.","contributorId":85855,"corporation":false,"usgs":true,"family":"Aerts-Bijma","given":"Anita","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":473420,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bohlke, John Karl 0000-0001-5693-6455","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":84641,"corporation":false,"usgs":true,"family":"Bohlke","given":"John Karl","affiliations":[],"preferred":false,"id":473419,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gehre, Matthias","contributorId":34004,"corporation":false,"usgs":false,"family":"Gehre","given":"Matthias","email":"","affiliations":[],"preferred":false,"id":473415,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Geilmann, Heike","contributorId":41303,"corporation":false,"usgs":false,"family":"Geilmann","given":"Heike","email":"","affiliations":[{"id":13365,"text":"Max-Planck Institute for Biogeochemistry, Jena, Germany","active":true,"usgs":false}],"preferred":false,"id":473417,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Groning, Manfred","contributorId":47659,"corporation":false,"usgs":true,"family":"Groning","given":"Manfred","affiliations":[],"preferred":false,"id":473418,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jansen, Henk G.","contributorId":56466,"corporation":false,"usgs":true,"family":"Jansen","given":"Henk","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":696902,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Meijer, Harro A. J.","contributorId":65684,"corporation":false,"usgs":true,"family":"Meijer","given":"Harro","email":"","middleInitial":"A. J.","affiliations":[],"preferred":false,"id":696903,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mroczkowski, Stanley J. 0000-0001-8026-6025 smroczko@usgs.gov","orcid":"https://orcid.org/0000-0001-8026-6025","contributorId":2628,"corporation":false,"usgs":true,"family":"Mroczkowski","given":"Stanley","email":"smroczko@usgs.gov","middleInitial":"J.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":473414,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Qi, Haiping 0000-0002-8339-744X haipingq@usgs.gov","orcid":"https://orcid.org/0000-0002-8339-744X","contributorId":507,"corporation":false,"usgs":true,"family":"Qi","given":"Haiping","email":"haipingq@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":473412,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Soergel, Karin","contributorId":45921,"corporation":false,"usgs":true,"family":"Soergel","given":"Karin","email":"","affiliations":[],"preferred":false,"id":696904,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stuart-Williams, Hilary","contributorId":24971,"corporation":false,"usgs":true,"family":"Stuart-Williams","given":"Hilary","email":"","affiliations":[],"preferred":false,"id":696905,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Weise, Stephan M.","contributorId":9487,"corporation":false,"usgs":true,"family":"Weise","given":"Stephan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":696906,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Werner, Roland A.","contributorId":187806,"corporation":false,"usgs":false,"family":"Werner","given":"Roland","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":696907,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":97961,"text":"sir20095213 - 2009 - Comparison of Hydrologic and Water-Quality Characteristics of Two Native Tallgrass Prairie Streams with Agricultural Streams in Missouri and Kansas","interactions":[],"lastModifiedDate":"2012-03-08T17:16:28","indexId":"sir20095213","displayToPublicDate":"2009-10-31T00:00:00","publicationYear":"2009","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":"2009-5213","title":"Comparison of Hydrologic and Water-Quality Characteristics of Two Native Tallgrass Prairie Streams with Agricultural Streams in Missouri and Kansas","docAbstract":"This report presents the results of a study by the U.S. Geological Survey, in cooperation with the Missouri Department of Natural Resources, to analyze and compare hydrologic and water-quality characteristics of tallgrass prairie and agricultural basins located within the historical distribution of tallgrass prairie in Missouri and Kansas. Streamflow and water-quality data from two remnant, tallgrass prairie basins (East Drywood Creek at Prairie State Park, Missouri, and Kings Creek near Manhattan, Kansas) were compared to similar data from agricultural basins in Missouri and Kansas.\r\n\r\nPrairie streams, especially Kings Creek in eastern Kansas, received a higher percentage of base flow and a lower percentage of direct runoff than similar-sized agricultural streams in the region. A larger contribution of direct runoff from the agricultural streams made them much flashier than prairie streams. During 22 years of record, the Kings Creek base-flow component averaged 66 percent of total flow, but base flow was only 16 to 26 percent of flows at agricultural sites of various record periods. The large base-flow component likely is the result of greater infiltration of precipitation in prairie soils and the resulting greater contribution of groundwater to streamflow. The 1- and 3-day annual maximum flows were significantly greater at three agricultural sites than at Kings Creek. The effects of flashier agricultural streams on native aquatic biota are unknown, but may be an important factor in the sustainability of some native aquatic species.\r\n\r\nThere were no significant differences in the distribution of dissolved-oxygen concentrations at prairie and agricultural sites, and some samples from most sites fell below the 5 milligrams per liter Missouri and Kansas standard for the protection of aquatic life. More than 10 percent of samples from the East Drywood Creek prairie stream were less than this standard. These data indicate low dissolved-oxygen concentrations during summer low-flow periods may be a natural phenomenon for small prairie streams in the Osage Plains.\r\n\r\nNutrient concentrations including total nitrogen, ammonia, nitrate, and total phosphorus were significantly less in base-flow and runoff samples from prairie streams than from agricultural streams. The total nitrogen concentration at all sites other than one of two prairie sampling sites were, on occasion, above the U.S. Environmental Protection Agency recommended criterion for total nitrogen for the prevention of nutrient enrichment, and typically were above this recommended criterion in runoff samples at all sites. Nitrate and total phosphorus concentrations in samples from the prairie streams generally were below the U.S. Environmental Protection Agency recommended nutrient criteria in base-flow and runoff samples, whereas samples from agricultural sites generally were below the criteria in base-flow samples and generally above in runoff samples. The lower concentrations of nutrient species in prairie streams is likely because prairies are not fertilized like agricultural basins and prairie basins are able to retain nutrients better than agricultural basins. This retention is enhanced by increased infiltration of precipitation into the prairie soils, decreased surface runoff, and likely less erosion than in agricultural basins.\r\n\r\nStreamflow in the small native prairie streams had more days of zero flow and lower streamflow yields than similar-sized agricultural streams. The prairie streams were at zero flow about 50 percent of the time, and the agricultural streams were at zero flow 25 to 35 percent of the time. Characteristics of the prairie basins that could account for the greater periods of zero flow and lower yields when compared to agricultural streams include greater infiltration, greater interception and evapotranspiration, shallower soils, and possible greater seepage losses in the prairie basins. Another difference between the prairie and agricultural strea","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095213","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Heimann, D.C., 2009, Comparison of Hydrologic and Water-Quality Characteristics of Two Native Tallgrass Prairie Streams with Agricultural Streams in Missouri and Kansas: U.S. Geological Survey Scientific Investigations Report 2009-5213, vi, 39 p., https://doi.org/10.3133/sir20095213.","productDescription":"vi, 39 p.","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":125689,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5213.jpg"},{"id":13138,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5213/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98,37 ], [ -98,41 ], [ -91,41 ], [ -91,37 ], [ -98,37 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6ae3fa","contributors":{"authors":[{"text":"Heimann, David C. 0000-0003-0450-2545 dheimann@usgs.gov","orcid":"https://orcid.org/0000-0003-0450-2545","contributorId":3822,"corporation":false,"usgs":true,"family":"Heimann","given":"David","email":"dheimann@usgs.gov","middleInitial":"C.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303722,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97960,"text":"sir20095175 - 2009 - Water Quality of Combined Sewer Overflows, Stormwater, and Streams, Omaha, Nebraska, 2006-07","interactions":[],"lastModifiedDate":"2012-03-08T17:16:26","indexId":"sir20095175","displayToPublicDate":"2009-10-31T00:00:00","publicationYear":"2009","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":"2009-5175","title":"Water Quality of Combined Sewer Overflows, Stormwater, and Streams, Omaha, Nebraska, 2006-07","docAbstract":"The U.S. Geological Survey, in cooperation with the City of Omaha, investigated the water quality of combined sewer overflows, stormwater, and streams in the Omaha, Nebraska, area by collecting and analyzing 1,175 water samples from August 2006 through October 2007. The study area included the drainage area of Papillion Creek at Capeheart Road near Bellevue, Nebraska, which encompasses the tributary drainages of the Big and Little Papillion Creeks and Cole Creek, along with the Missouri River reach that is adjacent to Omaha. Of the 101 constituents analyzed during the study, 100 were detected in at least 1 sample during the study. Spatial and seasonal comparisons were completed for environmental samples. Measured concentrations in stream samples were compared to water-quality criteria for pollutants of concern. Finally, the mass loads of water-quality constituents in the combined sewer overflow discharges, stormwater outfalls, and streams were computed and compared.\r\n\r\nThe results of the study indicate that combined sewer overflow and stormwater discharges are affecting the water quality of the streams in the Omaha area. At the Papillion Creek Basin sites, Escherichia coli densities were greater than 126 units per 100 milliliters in 99 percent of the samples (212 of 213 samples analyzed for Escherichia coli) collected during the recreational-use season from May through September (in 2006 and 2007). Escherichia coli densities in 76 percent of Missouri River samples (39 of 51 samples) were greater than 126 units per 100 milliliters in samples collected from May through September (in 2006 and 2007). None of the constituents with human health criteria for consumption of water, fish, and other aquatic organisms were detected at levels greater than the criteria in any of the samples collected during this study. Total phosphorus concentrations in water samples collected in the Papillion Creek Basin were in excess of the U.S. Environmental Protection Agency's proposed criterion in all but four stream samples (266 of 270). Similarly, only 2 of 84 Missouri River samples had total phosphorus concentrations less than the proposed criterion. The proposed total nitrogen criterion for the Corn Belt and Northern Great Plains ecoregion was surpassed in 80 percent of the water samples collected from the stream sites. Samples with total nitrogen concentrations greater than the proposed criterion were most common at Papillion Creek and Big Papillion Creek sites, where the proposed criterion was surpassed in 90 and 96 percent of the samples collected, respectively. Elevated concentrations of total nitrogen were less common at the Missouri River sites, with 33 percent of the samples analyzed having concentrations that surpassed the proposed nutrient criterion for total nitrogen. The three constituents with measured concentrations greater than their respective health-based screening levels were nickel, zinc, and dichlorvos.\r\n\r\nDifferences in water quality during the beginning, middle, and end of the combined sewer overflow discharge and the stream hydrograph rise, peak, and recession were investigated. Concentrations from the ending part of the combined sewer overflow hydrograph were significantly different than those from the beginning and middle parts for 3 and 11 constituents, respectively. No constituents were significantly different between the beginning and middle parts of the combined sewer overflow discharge hydrograph. For the stream site upstream from combined sewer overflow outfalls on Cole Creek, the constituents with geometric mean values for the hydrograph rise that were at least twice those for the values of the peak and recession were specific conductance, magnesium, nitrite, N,N-diethyl-meta-toluamide (DEET), methyl salicylate, p-cresol, and Escherichia coli. Similarly, the constituents where the hydrograph peak was at least twice that for the rise and recession at the upstream Cole Creek site were total suspended solids, silver, an","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095175","collaboration":"Prepared in cooperation with the City of Omaha","usgsCitation":"Vogel, J.R., Frankforter, J.D., Rus, D.L., Hobza, C.M., and Moser, M., 2009, Water Quality of Combined Sewer Overflows, Stormwater, and Streams, Omaha, Nebraska, 2006-07: U.S. Geological Survey Scientific Investigations Report 2009-5175, Report: xiv, 152 p.; Downloads Directory, https://doi.org/10.3133/sir20095175.","productDescription":"Report: xiv, 152 p.; Downloads Directory","additionalOnlineFiles":"Y","temporalStart":"2006-08-01","temporalEnd":"2007-10-31","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":125673,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5175.jpg"},{"id":13137,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5175/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.13333333333334,41.03333333333333 ], [ -96.13333333333334,41.38333333333333 ], [ -95.83333333333333,41.38333333333333 ], [ -95.83333333333333,41.03333333333333 ], [ -96.13333333333334,41.03333333333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0de4b07f02db5fd374","contributors":{"authors":[{"text":"Vogel, Jason R.","contributorId":82006,"corporation":false,"usgs":true,"family":"Vogel","given":"Jason","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":303721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frankforter, Jill D. 0000-0003-0371-2313 jdfrankf@usgs.gov","orcid":"https://orcid.org/0000-0003-0371-2313","contributorId":1739,"corporation":false,"usgs":true,"family":"Frankforter","given":"Jill","email":"jdfrankf@usgs.gov","middleInitial":"D.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303718,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rus, David L. 0000-0003-3538-7826 dlrus@usgs.gov","orcid":"https://orcid.org/0000-0003-3538-7826","contributorId":881,"corporation":false,"usgs":true,"family":"Rus","given":"David","email":"dlrus@usgs.gov","middleInitial":"L.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303717,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hobza, Christopher M. 0000-0002-6239-934X cmhobza@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-934X","contributorId":2393,"corporation":false,"usgs":true,"family":"Hobza","given":"Christopher","email":"cmhobza@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303719,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moser, Matthew T.","contributorId":13329,"corporation":false,"usgs":true,"family":"Moser","given":"Matthew T.","affiliations":[],"preferred":false,"id":303720,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":97959,"text":"ofr20091192 - 2009 - Relations between environmental and water-quality variables and Escherichia coli in the Cuyahoga River with emphasis on turbidity as a predictor of recreational water quality, Cuyahoga Valley National Park, Ohio, 2008","interactions":[],"lastModifiedDate":"2022-06-09T18:18:33.502837","indexId":"ofr20091192","displayToPublicDate":"2009-10-31T00:00:00","publicationYear":"2009","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":"2009-1192","displayTitle":"Relations Between Environmental and Water-Quality Variables and <i>Escherichia coli</i> in the Cuyahoga River With Emphasis on Turbidity as a Predictor of Recreational Water Quality, Cuyahoga Valley National Park, Ohio, 2008","title":"Relations between environmental and water-quality variables and Escherichia coli in the Cuyahoga River with emphasis on turbidity as a predictor of recreational water quality, Cuyahoga Valley National Park, Ohio, 2008","docAbstract":"<p><span>During the recreational season of 2008 (May through August), a regression model relating turbidity to concentrations of&nbsp;</span><i>Escherichia coli</i><span>&nbsp;</span><i>(E. coli)</i><span>&nbsp;was used to predict recreational water quality in the Cuyahoga River at the historical community of Jaite, within the present city of Brecksville, Ohio, a site centrally located within Cuyahoga Valley National Park. Samples were collected three days per week at Jaite and at three other sites on the river. Concentrations of&nbsp;</span><i>E. coli</i><span>&nbsp;were determined and compared to environmental and water-quality measures and to concentrations predicted with a regression model. Linear relations between&nbsp;</span><i>E. coli</i><span>&nbsp;concentrations and turbidity, gage height, and rainfall were statistically significant for Jaite. Relations between&nbsp;</span><i>E. col</i><span>i concentrations and turbidity were statistically significant for the three additional sites, and relations between&nbsp;</span><i>E. col</i><span>i concentrations and gage height were significant at the two sites where gage-height data were available. The turbidity model correctly predicted concentrations of&nbsp;</span><i>E. coli</i><span>&nbsp;above or below Ohio’s single-sample standard for primary-contact recreation for 77 percent of samples collected at Jaite.</span></p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091192","collaboration":"Prepared in cooperation with Cuyahoga Valley National Park and the Ohio Lake Erie Commission","usgsCitation":"Brady, A., and Plona, M.B., 2009, Relations between environmental and water-quality variables and Escherichia coli in the Cuyahoga River with emphasis on turbidity as a predictor of recreational water quality, Cuyahoga Valley National Park, Ohio, 2008: U.S. Geological Survey Open-File Report 2009-1192, 14 p., https://doi.org/10.3133/ofr20091192.","productDescription":"14 p.","temporalStart":"2008-05-01","temporalEnd":"2008-08-31","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":125493,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1192.jpg"},{"id":402012,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_87532.htm"},{"id":13136,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1192/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Ohio","otherGeospatial":"Cuyahoga Valley National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.69708251953125,\n              41.08452688125755\n            ],\n            [\n              -81.44302368164062,\n              41.08452688125755\n            ],\n            [\n              -81.44302368164062,\n              41.40771586770284\n            ],\n            [\n              -81.69708251953125,\n              41.40771586770284\n            ],\n            [\n              -81.69708251953125,\n              41.08452688125755\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67c1e3","contributors":{"authors":[{"text":"Brady, Amie M. G.","contributorId":29774,"corporation":false,"usgs":true,"family":"Brady","given":"Amie M. G.","affiliations":[],"preferred":false,"id":303715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plona, Meg B.","contributorId":46470,"corporation":false,"usgs":true,"family":"Plona","given":"Meg","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":303716,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97958,"text":"sir20095221 - 2009 - Estimates of Sediment Load Prior to Dam Removal in the Elwha River, Clallam County, Washington","interactions":[],"lastModifiedDate":"2012-03-08T17:16:26","indexId":"sir20095221","displayToPublicDate":"2009-10-31T00:00:00","publicationYear":"2009","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":"2009-5221","title":"Estimates of Sediment Load Prior to Dam Removal in the Elwha River, Clallam County, Washington","docAbstract":"Years after the removal of the two dams on the Elwha River, the geomorphology and habitat of the lower river will be substantially influenced by the sediment load of the free-flowing river. To estimate the suspended-sediment load prior to removal of the dams, the U.S. Geological Survey collected suspended-sediment samples during water years 2006 and 2007 at streamflow-gaging stations on the Elwha River upstream of Lake Mills and downstream of Glines Canyon Dam at McDonald Bridge. At the gaging station upstream of Lake Mills, discrete samples of suspended sediment were collected over a range of streamflows including a large peak in November 2006 when suspended-sediment concentrations exceeded 7,000 milligrams per liter, the highest concentrations recorded on the river. Based on field measurements in this study and from previous years, regression equations were developed for estimating suspended-sediment and bedload discharge as a function of streamflow. Using a flow duration approach, the average total annual sediment load at the gaging station upstream of Lake Mills was estimated at 327,000 megagrams with a range of uncertainty of +57 to -34 percent (217,000-513,000 megagrams) at the 95 percent confidence level; 77 percent of the total was suspended-sediment load and 23 percent was bedload. At the McDonald Bridge gaging station, daily suspended-sediment samples were obtained using an automated pump sampler, and concentrations were combined with the record of streamflow to calculate daily, monthly, and annual suspended-sediment loads. In water year 2006, an annual suspended-sediment load of 49,300 megagrams was determined at the gaging station at McDonald Bridge, and a load of 186,000 megagrams was determined upstream at the gaging station upstream of Lake Mills. In water year 2007, the suspended-sediment load was 75,200 megagrams at McDonald Bridge and 233,000 megagrams upstream of Lake Mills. The large difference between suspended-sediment loads at both gaging stations shows the extent of sediment trapping by Lake Mills, and a trap efficiency of 0.86 was determined for the reservoir. Pre-dam-removal estimates of suspended-sediment load and sediment-discharge relations will help planners monitor geomorphic and habitat changes in the river as it reaches a dynamic equilibrium following the removal of dams.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095221","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Curran, C.A., Konrad, C.P., Higgins, J.L., and Bryant, M.K., 2009, Estimates of Sediment Load Prior to Dam Removal in the Elwha River, Clallam County, Washington: U.S. Geological Survey Scientific Investigations Report 2009-5221, Report: vi, 19 p.; Appendixes, https://doi.org/10.3133/sir20095221.","productDescription":"Report: vi, 19 p.; Appendixes","additionalOnlineFiles":"Y","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":125690,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5221.jpg"},{"id":13135,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5221/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124,47.5 ], [ -124,48.25 ], [ -123.25,48.25 ], [ -123.25,47.5 ], [ -124,47.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fcb15","contributors":{"authors":[{"text":"Curran, Christopher A. 0000-0001-8933-416X ccurran@usgs.gov","orcid":"https://orcid.org/0000-0001-8933-416X","contributorId":1650,"corporation":false,"usgs":true,"family":"Curran","given":"Christopher","email":"ccurran@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303712,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Higgins, Johnna L. jhiggins@usgs.gov","contributorId":3091,"corporation":false,"usgs":true,"family":"Higgins","given":"Johnna","email":"jhiggins@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":303713,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bryant, Mark K. mbryant@usgs.gov","contributorId":3610,"corporation":false,"usgs":true,"family":"Bryant","given":"Mark","email":"mbryant@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":303714,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":97962,"text":"ofr20091129 - 2009 - Aeromagnetic and Aeroradiometric Data for the Conterminous United States and Alaska from the National Uranium Resource Evaluation (NURE) Program of the U.S. Department of Energy","interactions":[],"lastModifiedDate":"2012-02-02T00:14:30","indexId":"ofr20091129","displayToPublicDate":"2009-10-31T00:00:00","publicationYear":"2009","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":"2009-1129","title":"Aeromagnetic and Aeroradiometric Data for the Conterminous United States and Alaska from the National Uranium Resource Evaluation (NURE) Program of the U.S. Department of Energy","docAbstract":"The National Uranium Resource Evaluation (NURE) program was initiated in 1973 with a primary goal of identifying uranium resources in the United States. The airborne program's main purpose was to collect radiometric data of the conterminous United States and Alaska. Magnetic data were also collected. After the program ended, most of the data were given to the U.S. Geological Survey (USGS). \r\n\r\nAll areas were flown at about 400 feet above ground, the optimum height for collecting radiometric data, and the line spacing varied from 3 to 6 mile intervals. A few selected quadrangles or parts of quadrangles were flown at 1- or 2-mile line spacing. About forty smaller areas were targeted and flown at 0.25-mile to 1 mile line spacing.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091129","usgsCitation":"Hill, P.L., Kucks, R.P., and Ravat, D., 2009, Aeromagnetic and Aeroradiometric Data for the Conterminous United States and Alaska from the National Uranium Resource Evaluation (NURE) Program of the U.S. Department of Energy: U.S. Geological Survey Open-File Report 2009-1129, Available online only, https://doi.org/10.3133/ofr20091129.","productDescription":"Available online only","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":125468,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1129.jpg"},{"id":13139,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1129/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afde4b07f02db697207","contributors":{"authors":[{"text":"Hill, Patricia L. pathill@usgs.gov","contributorId":1327,"corporation":false,"usgs":true,"family":"Hill","given":"Patricia","email":"pathill@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":303723,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kucks, Robert P.","contributorId":11648,"corporation":false,"usgs":true,"family":"Kucks","given":"Robert","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":303724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ravat, Dhananjay","contributorId":15893,"corporation":false,"usgs":true,"family":"Ravat","given":"Dhananjay","email":"","affiliations":[],"preferred":false,"id":303725,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97963,"text":"ofr20091230 - 2009 - Total selenium in irrigation drain inflows to the Salton Sea, California, April 2009","interactions":[],"lastModifiedDate":"2019-08-20T09:39:33","indexId":"ofr20091230","displayToPublicDate":"2009-10-31T00:00:00","publicationYear":"2009","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":"2009-1230","title":"Total selenium in irrigation drain inflows to the Salton Sea, California, April 2009","docAbstract":"This report presents the results for the final sampling period (April 2009) of a 4-year monitoring program to characterize selenium concentrations in selected irrigation drains flowing into the Salton Sea, California. Total selenium and total suspended solids were determined in water samples. Total selenium, percent total organic carbon, and particle size were determined in sediments. Mean total selenium concentrations in water ranged from 0.98 to 22.9 micrograms per liter. Total selenium concentrations in sediment ranged from 0.078 to 5.0 micrograms per gram dry weight.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20091230","usgsCitation":"May, T.W., Walther, M., Saiki, M.K., and Brumbaugh, W.G., 2009, Total selenium in irrigation drain inflows to the Salton Sea, California, April 2009: U.S. Geological Survey Open-File Report 2009-1230, iv, 11 p., https://doi.org/10.3133/ofr20091230.","productDescription":"iv, 11 p.","temporalStart":"2009-04-01","temporalEnd":"2009-04-30","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":125508,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1230.jpg"},{"id":13140,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1230/","linkFileType":{"id":5,"text":"html"}},{"id":334498,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2009/1230/pdf/of2009-1230.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","otherGeospatial":"Salton Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.19140625,\n              33.047810073472085\n            ],\n            [\n              -115.50750732421875,\n              33.047810073472085\n            ],\n            [\n              -115.50750732421875,\n              33.59174327144985\n            ],\n            [\n              -116.19140625,\n              33.59174327144985\n            ],\n            [\n              -116.19140625,\n              33.047810073472085\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a07e4b07f02db5f9719","contributors":{"authors":[{"text":"May, Thomas W. tmay@usgs.gov","contributorId":2598,"corporation":false,"usgs":true,"family":"May","given":"Thomas","email":"tmay@usgs.gov","middleInitial":"W.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":303727,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walther, Michael J. mwalther@usgs.gov","contributorId":2852,"corporation":false,"usgs":true,"family":"Walther","given":"Michael J.","email":"mwalther@usgs.gov","affiliations":[],"preferred":true,"id":303728,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saiki, Michael K.","contributorId":54671,"corporation":false,"usgs":true,"family":"Saiki","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":303729,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":303726,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70156883,"text":"70156883 - 2009 - Did intense volcanism trigger the first Late Ordovician icehouse?","interactions":[],"lastModifiedDate":"2015-09-02T10:23:08","indexId":"70156883","displayToPublicDate":"2009-10-29T11:30:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Did intense volcanism trigger the first Late Ordovician icehouse?","docAbstract":"<p><span>Oxygen isotopes measured on Late Ordovician conodonts from Minnesota and Kentucky (United States) were studied to reconstruct the paleotemperature history during late Sandbian to Katian (Mohawkian&ndash;Cincinnatian) time. This time interval was characterized by intense volcanism, as shown by the prominent Deicke, Millbrig, and other K-bentonite beds. A prominent carbon isotope excursion (Guttenberg &delta;</span><sup>13</sup><span>C excursion, GICE) postdates the Millbrig volcanic eruptions, and has been interpreted to reflect a drawdown of atmospheric carbon dioxide and climatic cooling. The oxygen isotope record in conodont apatite contradicts this earlier interpretation. An increase in &delta;</span><sup>18</sup><span>O of 1.5&permil; (Vienna standard mean ocean water) just above the Deicke K-bentonite suggests an abrupt and short-lived cooling that possibly initiated a first short-term glacial episode well before the major Hirnantian glaciation. The decrease in &delta;</span><sup>18</sup><span>O immediately after the mega-eruptions indicates warming before the GICE, and no cooling is shown in the GICE interval. The coincidence of the Deicke mega-eruption with a cooling event suggests that this major volcanic event had a profound effect on Late Ordovician (late Mohawkian) climate.</span></p>","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/G30577.1","usgsCitation":"Buggisch, W., Joachimski, M.M., Lehnert, O., Bergstrom, S.M., and Repetski, J.E., 2009, Did intense volcanism trigger the first Late Ordovician icehouse?: Geology, v. 38, no. 4, p. 327-330, https://doi.org/10.1130/G30577.1.","productDescription":"4 p.","startPage":"327","endPage":"330","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-008547","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":307819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e81dafe4b0dacf699e6662","contributors":{"authors":[{"text":"Buggisch, Werner","contributorId":34408,"corporation":false,"usgs":true,"family":"Buggisch","given":"Werner","email":"","affiliations":[],"preferred":false,"id":570969,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Joachimski, Michael M.","contributorId":61316,"corporation":false,"usgs":true,"family":"Joachimski","given":"Michael","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":570970,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lehnert, Oliver","contributorId":36033,"corporation":false,"usgs":true,"family":"Lehnert","given":"Oliver","email":"","affiliations":[],"preferred":false,"id":570971,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bergstrom, S. M.","contributorId":147234,"corporation":false,"usgs":false,"family":"Bergstrom","given":"S.","email":"","middleInitial":"M.","affiliations":[{"id":6714,"text":"Ohio State University, School of Earth Sciences, Columbus, Ohio, USA","active":true,"usgs":false}],"preferred":false,"id":570968,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Repetski, John E. 0000-0002-2298-7120 jrepetski@usgs.gov","orcid":"https://orcid.org/0000-0002-2298-7120","contributorId":2596,"corporation":false,"usgs":true,"family":"Repetski","given":"John","email":"jrepetski@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":570967,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70243750,"text":"70243750 - 2009 - Sediment characterization and dynamics in Lake Pontchartrain, Louisiana","interactions":[],"lastModifiedDate":"2023-11-21T16:09:20.946352","indexId":"70243750","displayToPublicDate":"2009-10-28T09:55:19","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Sediment characterization and dynamics in Lake Pontchartrain, Louisiana","docAbstract":"<p id=\"ID0EF\" class=\"first\">Lake Pontchartrain in southeastern Louisiana is the largest of several shallow estuaries that together cover over 15,000 km<sup>2</sup>. Wetlands, forests, and large urban areas surround the lake. Primary transport mechanisms of sediments to Lake Pontchartrain include urban runoff, major diversions of the Mississippi River, discharge from streams along the north and west shores, and tidal circulation. Sediments deposited in Lake Pontchartrain are subjected to resuspension and mixing by natural and human activities. Bioturbation and water turbulence throughout the lake are the major mixing agents, and mechanical shell dredging has reworked much of the lake bottom over the last century. Sediment characterization through direct sampling and geophysical surveys indicates that these processes continually rework the top meter of sediment.</p><p id=\"ID0EJ\">The lake receives discharge from roadways and industrial and agricultural sources. Contaminants from these sources accumulate in the lake sediments and are an important contributor to the degradation of the estuary. Decline in populations of various benthic organisms, such as shrimp and clams, has been documented in the lake. To characterize the health of this important estuary, the U.S. Geological Survey (USGS) conducted a comprehensive evaluation of the geology, geomorphology, coastal processes, and environmental condition of the Pontchartrain Basin from 1994 to 1997. This report presents an assessment of sediment distribution and quality using a multidisciplinary approach to characterize the influence of various physical and chemical parameters: nearsurface stratigraphy, major trace metal concentrations (Cu, Pb, Zn, and Ni), and short-lived radionuclides (<sup>210</sup>Pb,<span>&nbsp;</span><sup>7</sup>Be, and<span>&nbsp;</span><sup>137</sup>Cs). The results are compared with water-circulation patterns to determine high-resolution sedimentation patterns in the lake. The data show a significant increase in trace metals in the top 1 m of lake sediments. Above this horizon, pollen analysis indicates a correlation with land clearing in the area, a proxy for increasing human development of the surrounding landscape and an increase in surface run-off. The data also show that the top meter of sediment undergoes frequent resuspension during high-energy circulation events and via circulation gyres in the lake. This regular turnover does not allow stratification of recently deposited sediments, restricting the sequestration of contaminated material that enters the lake.</p>","language":"English","publisher":"Allen Press","doi":"10.2112/SI54-011.1","usgsCitation":"Flocks, J.G., Kindinger, J.L., Marot, M.E., and Holmes, C.W., 2009, Sediment characterization and dynamics in Lake Pontchartrain, Louisiana: Journal of Coastal Research, v. 2009, no. 10054, p. 113-126, https://doi.org/10.2112/SI54-011.1.","productDescription":"14 p.","startPage":"113","endPage":"126","ipdsId":"IP-016692","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":417214,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Lake Pontchartrain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.61898900723892,\n              30.418098024587806\n            ],\n            [\n              -90.61898900723892,\n              30.01761963592945\n            ],\n            [\n              -89.67442366651264,\n              30.01761963592945\n            ],\n            [\n              -89.67442366651264,\n              30.418098024587806\n            ],\n            [\n              -90.61898900723892,\n              30.418098024587806\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"2009","issue":"10054","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":873151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kindinger, Jack L","contributorId":305544,"corporation":false,"usgs":true,"family":"Kindinger","given":"Jack","email":"","middleInitial":"L","affiliations":[],"preferred":true,"id":873152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marot, Marci E 0000-0003-0504-315X","orcid":"https://orcid.org/0000-0003-0504-315X","contributorId":305545,"corporation":false,"usgs":true,"family":"Marot","given":"Marci","email":"","middleInitial":"E","affiliations":[],"preferred":true,"id":873153,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holmes, Charles W","contributorId":305546,"corporation":false,"usgs":true,"family":"Holmes","given":"Charles","email":"","middleInitial":"W","affiliations":[],"preferred":true,"id":873154,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70154924,"text":"70154924 - 2009 - Influence of Old World bluestem (Bothrichloa ischaemum) monocultures on breeding density of three grassland songbirds in Oklahoma","interactions":[],"lastModifiedDate":"2017-05-31T16:31:21","indexId":"70154924","displayToPublicDate":"2009-10-28T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"displayTitle":"Influence of Old World bluestem (<i>Bothrichloa ischaemum</i>) monocultures on breeding density of three grassland songbirds in Oklahoma","title":"Influence of Old World bluestem (Bothrichloa ischaemum) monocultures on breeding density of three grassland songbirds in Oklahoma","docAbstract":"<p> Despite persistent and widespread declines of grassland birds in North America, few studies have assessed differences between native grasslands and seeded monocultures as songbird habitat. In the Great Plains, many fields enrolled in the Conservation Reserve Program have been seeded to Old World bluestems (OWB), but there is evidence to suggest that OWB may not provide suitable conditions for several grassland bird species. Our objectives were to investigate the influence of OWB monocultures on vegetation structure, composition, and breeding densities of three common grassland bird species. In 2007, we used distance sampling to survey breeding songbirds in 6 native mixed grass prairie and 6 OWB fields in Garfield, Grant, and Alfalfa counties, Oklahoma. Native mixed grass prairie supported taller and denser vegetation, as well as greater forb cover than OWB fields. Breeding density of Grasshopper Sparrow (<i>Ammodramus savannarum</i>) was higher in OWB monocultures, while density of Dickcissel (<i>Spiza americana</i>) and Eastern Meadowlark (<i>Sturnella magna</i>) was similar among field types.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Tundra to Tropics: Connecting Birds, Habitats and People","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Fourth International Partners in Flight Conference","conferenceDate":"February 13-16, 2008","conferenceLocation":"McAllen, TX","language":"English","publisher":"Partners in Flight","usgsCitation":"George, A.D., O’Connell, T.J., Hickman, K.R., and Leslie, D., 2009, Influence of Old World bluestem (Bothrichloa ischaemum) monocultures on breeding density of three grassland songbirds in Oklahoma, <i>in</i> Tundra to Tropics: Connecting Birds, Habitats and People, McAllen, TX, February 13-16, 2008, p. 691-697.","productDescription":"7 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,{"id":70237851,"text":"70237851 - 2009 - The November 15, 2006 Kuril Islands-generated tsunami in Crescent City, California","interactions":[],"lastModifiedDate":"2022-10-27T12:16:11.095598","indexId":"70237851","displayToPublicDate":"2009-10-27T07:09:10","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"The November 15, 2006 Kuril Islands-generated tsunami in Crescent City, California","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>On November 15, 2006, Crescent City in Del Norte County, California was hit by a tsunami generated by a<span>&nbsp;</span><i>M</i><sub><span>&nbsp;</span><i>w</i><span>&nbsp;</span></sub><i>8.3</i><span>&nbsp;</span>earthquake in the central Kuril Islands. Strong currents that persisted over an eight-hour period damaged floating docks and several boats and caused an estimated $9.2 million in losses. Initial tsunami alert bulletins issued by the West Coast Alaska Tsunami Warning Center (WCATWC) in Palmer, Alaska were cancelled about three and a half hours after the earthquake, nearly five hours before the first surges reached Crescent City. The largest amplitude wave, 1.76-meter peak to trough, was the sixth cycle and arrived over two hours after the first wave. Strong currents estimated at over 10 knots, damaged or destroyed three docks and caused cracks in most of the remaining docks. As a result of the November 15 event, WCATWC changed the definition of Advisory from a region-wide alert bulletin meaning that a potential tsunami is 6 hours or further away to a localized alert that tsunami water heights may approach warning- level thresholds in specific, vulnerable locations like Crescent City. On January 13, 2007 a similar Kuril event occurred and hourly conferences between the warning center and regional weather forecasts were held with a considerable improvement in the flow of information to local coastal jurisdictions. The event highlighted the vulnerability of harbors from a relatively modest tsunami and underscored the need to improve public education regarding the duration of the tsunami hazards, improve dialog between tsunami warning centers and local jurisdictions, and better understand the currents produced by tsunamis in harbors.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s00024-008-0429-2","usgsCitation":"Dengler, L., Uslu, B., Barberopoulou, A., Yim, S., and Kelly, A., 2009, The November 15, 2006 Kuril Islands-generated tsunami in Crescent City, California: Pure and Applied Geophysics, v. 166, p. 37-53, https://doi.org/10.1007/s00024-008-0429-2.","productDescription":"17 p.","startPage":"37","endPage":"53","costCenters":[],"links":[{"id":408786,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Crescent City","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.99373978515479,\n              42.05271417399095\n            ],\n            [\n              -124.99373978515479,\n              41.478862412813584\n            ],\n            [\n              -123.9056212752312,\n              41.478862412813584\n            ],\n            [\n              -123.9056212752312,\n              42.05271417399095\n            ],\n            [\n              -124.99373978515479,\n              42.05271417399095\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"166","noUsgsAuthors":false,"publicationDate":"2009-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Dengler, Lori","contributorId":197374,"corporation":false,"usgs":false,"family":"Dengler","given":"Lori","affiliations":[],"preferred":false,"id":855901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Uslu, B.","contributorId":298571,"corporation":false,"usgs":false,"family":"Uslu","given":"B.","email":"","affiliations":[],"preferred":false,"id":855902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barberopoulou, A.","contributorId":45507,"corporation":false,"usgs":true,"family":"Barberopoulou","given":"A.","affiliations":[],"preferred":false,"id":855903,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yim, S. C.","contributorId":298572,"corporation":false,"usgs":false,"family":"Yim","given":"S. C.","affiliations":[],"preferred":false,"id":855904,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kelly, A.","contributorId":86975,"corporation":false,"usgs":true,"family":"Kelly","given":"A.","email":"","affiliations":[],"preferred":false,"id":855905,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":97956,"text":"ofr20091216 - 2009 - Water-quality monitoring in response to young-of-the-year smallmouth bass (Micropterus dolomieu) mortality in the Susquehanna River and major tributaries, Pennsylvania:  2008","interactions":[],"lastModifiedDate":"2022-06-16T18:57:27.808242","indexId":"ofr20091216","displayToPublicDate":"2009-10-27T00:00:00","publicationYear":"2009","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":"2009-1216","displayTitle":"Water-quality monitoring in response to young-of-the-year smallmouth bass (<i>Micropterus dolomieu</i>) mortality in the Susquehanna River and major tributaries, Pennsylvania:  2008","title":"Water-quality monitoring in response to young-of-the-year smallmouth bass (Micropterus dolomieu) mortality in the Susquehanna River and major tributaries, Pennsylvania:  2008","docAbstract":"<p>Mortalities of young-of-the-year (YOY) smallmouth bass (<i>Micropterus dolomieu</i>) recently have occurred in the Susquehanna River due to<span>&nbsp;</span><i>Flavobacterium columnare</i>, a bacterium that typically infects stressed fish. Stress factors include but are not limited to elevated water temperature and low dissolved oxygen during times critical for survival and development of smallmouth bass (May 1 through July 31). The infections were first discovered in the Susquehanna River and major tributaries in the summer months of 2005 but also were prevalent in 2007.</p><p>The U.S. Geological Survey, Pennsylvania Fish and Boat Commission, Pennsylvania Department of Environmental Protection, and PPL Corporation worked together to monitor dissolved oxygen, water temperature, pH, and specific conductance on a continuous basis at seven locations from May through mid October 2008. In addition, nutrient concentrations, which may affect dissolved-oxygen concentrations, were measured once in water and streambed sediment at 25 locations.</p><p>Data from water-quality meters (sondes) deployed as pairs showed daily minimum dissolved-oxygen concentration at YOY smallmouth-bass microhabitats in the Susquehanna River at Clemson Island and the Juniata River at Howe Township Park were significantly lower (p-value &lt; 0.0001) than nearby main-channel habitats. The average daily minimum dissolved-oxygen concentration during the critical period (May 1–July 31) was 1.1 mg/L lower in the Susquehanna River microhabitat and 0.3 mg/L lower in the Juniata River. Daily minimum dissolved-oxygen concentrations were lower than the applicable national criterion (5.0 mg/L) in microhabitat in the Susquehanna River at Clemson Island on 31 days (of 92 days in the critical period) compared to no days in the corresponding main-channel habitat. In the Juniata River, daily minimum dissolved-oxygen concentration in the microhabitat was lower than 5.0 mg/L on 20 days compared to only 5 days in the main-channel habitat. The maximum time periods that dissolved oxygen was less than 5.0 mg/L in microhabitats of the Susquehanna and Juniata Rivers were 8.5 and 5.5 hours, respectively. Dissolved-oxygen concentrations lower than the national criterion generally occurred during nighttime and early-morning hours between midnight and 0800. The lowest instantaneous dissolved-oxygen concentrations measured in microhabitats during the critical period were 3.3 mg/L for the Susquehanna River at Clemson Island (June 11, 2008) and 4.1 mg/L for the Juniata River at Howe Township Park (July 22, 2008).</p><p>Comparison of 2008 data to available continuous-monitoring data from 1974 to 1979 in the Susquehanna River at Harrisburg, Pa., indicates the critical period of 2008 had an average daily mean dissolved-oxygen concentration that was 1.1 mg/L lower (p-value &lt; 0.0001) than in the 1970s and an average daily mean water temperature that was 0.8 °C warmer (p-value = 0.0056). Streamflow was not significantly different (p-value = 0.0952) between the two time periods indicating that it is not a likely explanation for the differences in water quality.</p><p>During the critical period in 2008, dissolved-oxygen concentrations were lower in the Susquehanna River at Harrisburg, Pa., than in the Delaware River at Trenton, N.J., or Allegheny River at Acmetonia near Pittsburgh, Pa. Daily minimum dissolved-oxygen concentrations were below the national criterion of 5.0 mg/L on 6 days during the critical period in the Susquehanna River at Harrisburg compared to no days in the Delaware River at Trenton and the Allegheny River at Acmetonia. Average daily mean water temperature in the Susquehanna River at Harrisburg was 1.8 °C warmer than in the Delaware River at Trenton and 3.4 °C warmer than in the Allegheny River at Acmetonia. These results indicate that any stress induced by dissolved oxygen or other environmental conditions is likely to be magnified by elevated temperature in the Susquehanna River at Harrisburg compared to the Delaware River at Trenton or the Allegheny River at Acmetonia.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091216","collaboration":"Prepared in cooperation with the Pennsylvania Fish and Boat Commission, Pennsylvania Department of Environmental Protection, and PPL Corporation","usgsCitation":"Chaplin, J.J., Crawford, J.K., and Brightbill, R.A., 2009, Water-quality monitoring in response to young-of-the-year smallmouth bass (Micropterus dolomieu) mortality in the Susquehanna River and major tributaries, Pennsylvania:  2008: U.S. Geological Survey Open-File Report 2009-1216, vi, 59 p., https://doi.org/10.3133/ofr20091216.","productDescription":"vi, 59 p.","temporalStart":"2008-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":125504,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1216.jpg"},{"id":402292,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_87531.htm"},{"id":13129,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1216/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Susquehanna River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.156982421875,\n              40.18726672309203\n            ],\n            [\n              -76.6461181640625,\n              40.18726672309203\n            ],\n            [\n              -76.6461181640625,\n              41.03378713521864\n            ],\n            [\n              -77.156982421875,\n              41.03378713521864\n            ],\n            [\n              -77.156982421875,\n              40.18726672309203\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f1e4b07f02db5ee5bb","contributors":{"authors":[{"text":"Chaplin, Jeffrey J. 0000-0002-0617-5050 jchaplin@usgs.gov","orcid":"https://orcid.org/0000-0002-0617-5050","contributorId":147,"corporation":false,"usgs":true,"family":"Chaplin","given":"Jeffrey","email":"jchaplin@usgs.gov","middleInitial":"J.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crawford, J. Kent","contributorId":54176,"corporation":false,"usgs":true,"family":"Crawford","given":"J.","email":"","middleInitial":"Kent","affiliations":[],"preferred":false,"id":303707,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brightbill, Robin A. 0000-0003-4683-9656 rabright@usgs.gov","orcid":"https://orcid.org/0000-0003-4683-9656","contributorId":618,"corporation":false,"usgs":true,"family":"Brightbill","given":"Robin","email":"rabright@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303706,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97953,"text":"ofr20091242 - 2009 - Particle Size Characterization of Water-Elutriated Libby Amphibole 2000 and RTI International Amosite","interactions":[],"lastModifiedDate":"2012-02-02T00:15:05","indexId":"ofr20091242","displayToPublicDate":"2009-10-27T00:00:00","publicationYear":"2009","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":"2009-1242","title":"Particle Size Characterization of Water-Elutriated Libby Amphibole 2000 and RTI International Amosite","docAbstract":"This report presents data on particle characterization analyzed by scanning electron microscopy on Libby amphibole collected by the U.S. Geological Survey in 2000 (LA2000) and amosite material collected by RTI International (RTI amosite). The particle characterization data were generated to support a portion of the Libby Action Plan. Prior to analysis, the raw LA2000 and RTI amosite materials were subjected to a preparation step. Each sample was water-elutriated by U.S. Environmental Protection Agency (USEPA) Office of Research and Development, Research Triangle Park using the methods generally described in another published report and then delivered to the U.S. Geological Survey, Denver Microbeam Laboratory for analysis. Data presented here represent analyses performed by the U.S. Geological Survey, Denver Microbeam Laboratory and USEPA National Enforcement Investigations Center. This report consists of two Excel spreadsheet files developed by USEPA, Region 8 Superfund Technical Assistance Unit and describe the particle size characterization of the LA2000 and RTI amosite, respectively. Multiple tabs and data entry cells exist in each spreadsheet and are defined herein.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091242","collaboration":"Prepared for the U.S. Environmental Protection Agency in Cooperation with U.S. EPA National Enforcement Investigations Center","usgsCitation":"Lowers, H., and Bern, A.M., 2009, Particle Size Characterization of Water-Elutriated Libby Amphibole 2000 and RTI International Amosite: U.S. Geological Survey Open-File Report 2009-1242, Report: iii, 3 p.; Downloads Directory, https://doi.org/10.3133/ofr20091242.","productDescription":"Report: iii, 3 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":177,"text":"Central Region Mineral Resources Science Center","active":false,"usgs":true}],"links":[{"id":125515,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1242.jpg"},{"id":13126,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1242/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae3e4b07f02db689142","contributors":{"authors":[{"text":"Lowers, Heather 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":710,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":303699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bern, Amy M.","contributorId":67625,"corporation":false,"usgs":true,"family":"Bern","given":"Amy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":303700,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97952,"text":"ofr20091226 - 2009 - Proceedings of the XIIIth IAGA Workshop on Geomagnetic Observatory Instruments, Data Acquisition, and Processing","interactions":[],"lastModifiedDate":"2018-10-26T15:27:01","indexId":"ofr20091226","displayToPublicDate":"2009-10-27T00:00:00","publicationYear":"2009","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":"2009-1226","title":"Proceedings of the XIIIth IAGA Workshop on Geomagnetic Observatory Instruments, Data Acquisition, and Processing","docAbstract":"The thirteenth biennial International Association of Geomagnetism and Aeronomy (IAGA) Workshop on Geomagnetic Observatory Instruments, Data Acquisition and Processing was held in the United States for the first time on June 9-18, 2008. Hosted by the U.S. Geological Survey's (USGS) Geomagnetism Program, the workshop's measurement session was held at the Boulder Observatory and the scientific session was held on the campus of the Colorado School of Mines in Golden, Colorado. More than 100 participants came from 36 countries and 6 continents.\r\n\r\nPreparation for the workshop began when the USGS Geomagnetism Program agreed, at the close of the twelfth workshop in Belsk Poland in 2006, to host the next workshop. Working under the leadership of Alan Berarducci, who served as the chairman of the local organizing committee, and Tim White, who served as co-chairman, preparations began in 2007. The Boulder Observatory was extensively renovated and additional observation piers were installed. Meeting space on the Colorado School of Mines campus was arranged, and considerable planning was devoted to managing the many large and small issues that accompany an international meeting. Without the devoted efforts of both Alan and Tim, other Geomagnetism Program staff, and our partners at the Colorado School of Mines, the workshop simply would not have occurred. \r\n\r\nWe express our thanks to Jill McCarthy, the USGS Central Region Geologic Hazards Team Chief Scientist; Carol A. Finn, the Group Leader of the USGS Geomagnetism Program; the USGS International Office; and Melody Francisco of the Office of Special Programs and Continuing Education of the Colorado School of Mines. We also thank the student employees that the Geomagnetism Program has had over the years and leading up to the time of the workshop. For preparation of the proceedings, thanks go to Eddie and Tim. And, finally, we thank our sponsors, the USGS, IAGA, and the Colorado School of Mines.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091226","usgsCitation":"Love, J.J., 2009, Proceedings of the XIIIth IAGA Workshop on Geomagnetic Observatory Instruments, Data Acquisition, and Processing: U.S. Geological Survey Open-File Report 2009-1226, Report: xii, 271 p.; Available online and on CD-ROM, https://doi.org/10.3133/ofr20091226.","productDescription":"Report: xii, 271 p.; Available online and on CD-ROM","temporalStart":"2008-06-09","temporalEnd":"2008-06-18","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":422,"text":"National Geomagnetism Program","active":false,"usgs":true}],"links":[{"id":125507,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1226.jpg"},{"id":13125,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1226/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ee4b07f02db6603b3","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":303698,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":97951,"text":"ofr20091212 - 2009 - Preliminary Assessment of the Potential for Inducing Stormwater Infiltration in Cook County, Illinois","interactions":[],"lastModifiedDate":"2012-03-08T17:16:28","indexId":"ofr20091212","displayToPublicDate":"2009-10-27T00:00:00","publicationYear":"2009","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":"2009-1212","title":"Preliminary Assessment of the Potential for Inducing Stormwater Infiltration in Cook County, Illinois","docAbstract":"The Metropolitan Water Reclamation District of Greater Chicago is responsible for all of the regional stormwater management for Cook County in northeastern Illinois, one of the largest urban areas in the United States. Continuing urban expansion in this area has increased stormwater runoff and combined sewer overflows and likely decreased groundwater recharge. Passive induced-infiltration structures may help reduce stormflow problems and increase infiltration. These structures must be properly located to function effectively. Using hydrogeologic and land cover and use characteristics, maps of Cook County were developed indicating areas having the most potential for inducing stormwater infiltration. This assessment is preliminary because the scale of the mapping only gives a general indication of potential infiltration areas and is not suitable for site-specific investigations. In Cook County, 76,080 of 612,636 acres (12.4 percent) were determined to have the greatest potential for passive induced-infiltration-structure locations. Of these 76,080 acres, 8,650 are within the Lake Michigan surface watershed, with the remaining 67,430 acres within the Illinois River surface watershed. If all the annual rainfall on the 8,650 acres infiltrated and flowed to Lake Michigan, the resulting groundwater flux would be about 33 cubic feet per second (ft3/s).","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091212","collaboration":"Prepared in cooperation with the Metropolitan Water Reclamation District of Greater Chicago","usgsCitation":"Morrow, W.S., and Sharpe, J.B., 2009, Preliminary Assessment of the Potential for Inducing Stormwater Infiltration in Cook County, Illinois: U.S. Geological Survey Open-File Report 2009-1212, vi, 26 p., https://doi.org/10.3133/ofr20091212.","productDescription":"vi, 26 p.","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":125502,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1212.jpg"},{"id":13124,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1212/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.33333333333333,41.416666666666664 ], [ -88.33333333333333,42.166666666666664 ], [ -87.41666666666667,42.166666666666664 ], [ -87.41666666666667,41.416666666666664 ], [ -88.33333333333333,41.416666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e771","contributors":{"authors":[{"text":"Morrow, William S. 0000-0002-2250-3165 wsmorrow@usgs.gov","orcid":"https://orcid.org/0000-0002-2250-3165","contributorId":1886,"corporation":false,"usgs":true,"family":"Morrow","given":"William","email":"wsmorrow@usgs.gov","middleInitial":"S.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharpe, Jennifer B. 0000-0002-5192-7848 jbsharpe@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-7848","contributorId":2825,"corporation":false,"usgs":true,"family":"Sharpe","given":"Jennifer","email":"jbsharpe@usgs.gov","middleInitial":"B.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303697,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":97957,"text":"sir20095222 - 2009 - Comparison of the Immunomagnetic Separation/Adenosine Triphosphate Rapid Method and the Modified mTEC Membrane-Filtration Method for Enumeration of Escherichia coli","interactions":[],"lastModifiedDate":"2012-03-08T17:16:30","indexId":"sir20095222","displayToPublicDate":"2009-10-27T00:00:00","publicationYear":"2009","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":"2009-5222","title":"Comparison of the Immunomagnetic Separation/Adenosine Triphosphate Rapid Method and the Modified mTEC Membrane-Filtration Method for Enumeration of Escherichia coli","docAbstract":"Water quality at beaches is monitored for fecal indicator bacteria by traditional, culture-based methods that can take 18 to 24 hours to obtain results. A rapid detection method that provides estimated concentrations of fecal indicator bacteria within 1 hour from the start of sample processing would allow beach managers to post advisories or close the beach when the conditions are actually considered unsafe instead of a day later, when conditions may have changed. A rapid method that couples immunomagnetic separation with adenosine triphosphate detection (IMS/ATP rapid method) was evaluated through monitoring of Escherichia coli (E. coli) at three Lake Erie beaches in Ohio (Edgewater and Villa Angela in Cleveland and Huntington in Bay Village).\r\n\r\n\r\nBeach water samples were collected between 4 and 5 days per week during the recreational seasons (May through September) of 2006 and 2007. Composite samples were created in the lab from two point samples collected at each beach and were shown to be comparable substitutes for analysis of two individual samples. E. coli concentrations in composite samples, as determined by the culture-based method, ranged from 4 to 24,000 colony-forming units per 100 milliliters during this study across all beaches. Turbidity also was measured for each sample and ranged from 0.8 to 260 neophelometric turbidity ratio units. Environmental variables were noted at the time of sampling, including number of birds at the beach and wave height. Rainfall amounts were measured at National Weather Service stations at local airports. Turbidity, rainfall, and wave height were significantly related to the culture-based method results each year and for both years combined at each beach. The number of birds at the beach was significantly related to the culture-based method results only at Edgewater during 2006 and during both years combined.\r\n\r\nResults of the IMS/ATP method were compared to results of the culture-based method for samples by year for each beach. The IMS/ATP method underwent several changes and refinements during the first year, including changes in reagents and antibodies and alterations to the method protocol. Because of the changes in the method, results from the two years of study could not be combined. Kendall's tau correlation coefficients for relations between the IMS/ATP and culture-based methods were significant except for samples collected during 2006 at Edgewater and for samples collected during 2007 at Villa Angela. Further, relations were stronger for samples collected in 2006 than for those collected in 2007, except at Edgewater where the reverse was observed.\r\n\r\nThe 2007 dataset was examined to identify possible reasons for the observed difference in significance of relations by year. By dividing the 2007 data set into groups as a function of sampling date, relations (Kendall's tau) between methods were observed to be stronger for samples collected earlier in the season than for those collected later in the season. At Edgewater and Villa Angela, there were more birds at the beach at time of sampling later in the season compared to earlier in the season. (The number of birds was not examined at Huntington.) Also, more wet days (when rainfall during the 24 hours prior to sampling was greater than 0.05 inch) were sampled later in the season compared to earlier in the season. Differences in the dominant fecal source may explain the change in the relations between the culture-based and IMS/ATP methods.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095222","collaboration":"Prepared in cooperation with the Northeast Ohio Regional Sewer District, Cuyahoga County Board of Health, Cuyahoga County Sanitary Engineer, and Ohio Water Development Authority","usgsCitation":"Brady, A., Bushon, R.N., and Bertke, E.E., 2009, Comparison of the Immunomagnetic Separation/Adenosine Triphosphate Rapid Method and the Modified mTEC Membrane-Filtration Method for Enumeration of Escherichia coli: U.S. Geological Survey Scientific Investigations Report 2009-5222, viii, 22 p., https://doi.org/10.3133/sir20095222.","productDescription":"viii, 22 p.","temporalStart":"2006-05-01","temporalEnd":"2007-09-30","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":125691,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5222.jpg"},{"id":13130,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5222/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82,41.416666666666664 ], [ -82,41.666666666666664 ], [ -81.5,41.666666666666664 ], [ -81.5,41.416666666666664 ], [ -82,41.416666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6ae00d","contributors":{"authors":[{"text":"Brady, Amie M. G.","contributorId":29774,"corporation":false,"usgs":true,"family":"Brady","given":"Amie M. G.","affiliations":[],"preferred":false,"id":303710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bushon, Rebecca N. rnbushon@usgs.gov","contributorId":2304,"corporation":false,"usgs":true,"family":"Bushon","given":"Rebecca","email":"rnbushon@usgs.gov","middleInitial":"N.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bertke, Erin E. eebertke@usgs.gov","contributorId":1934,"corporation":false,"usgs":true,"family":"Bertke","given":"Erin","email":"eebertke@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":303708,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":97955,"text":"ds471 - 2009 - Historical physical and chemical data for water in Lake Powell and from Glen Canyon Dam releases, Utah-Arizona, 1964–2013","interactions":[],"lastModifiedDate":"2023-05-12T19:47:52.032639","indexId":"ds471","displayToPublicDate":"2009-10-27T00:00:00","publicationYear":"2009","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":"471","title":"Historical physical and chemical data for water in Lake Powell and from Glen Canyon Dam releases, Utah-Arizona, 1964–2013","docAbstract":"<p><span>This report presents the physical and chemical characteristics of water in Lake Powell and from Glen Canyon Dam releases from 1964 through 2013. These data are available in a several electronic formats. Data have been collected throughout this period by various offices of the Bureau of Reclamation and U.S. Geological Survey and are compiled to represent the existing body of chemical and physical information on Lake Powell and Glen Canyon Dam releases. From this record, further interpretation may be made concerning mixing processes in Lake Powell, the movement and fate of advective inflow currents, effects of climate and hydrological variations, and the effects of the operation and structure of Glen Canyon Dam on the quality of water in Lake Powell and from Glen Canyon Dam releases.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds471","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Vernieu, W., 2009, Historical physical and chemical data for water in Lake Powell and from Glen Canyon Dam releases, Utah-Arizona, 1964–2013 (Originally posted on October 22, 2009; Version 2.0: October 2013; Version 3.0: February 17, 2015): U.S. Geological Survey Data Series 471, Report: iv, 23 p.; Metadata; Data Folder, https://doi.org/10.3133/ds471.","productDescription":"Report: iv, 23 p.; Metadata; Data Folder","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1964-01-01","temporalEnd":"2012-12-31","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":118593,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds471.gif"},{"id":417004,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_87526.htm","linkFileType":{"id":5,"text":"html"}},{"id":278949,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/471/data/ds471_data.zip","text":"Data folder"},{"id":278948,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/471/pdf/ds471_metadata.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":278947,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/471/pdf/ds471.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":13128,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/471/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona, Utah","otherGeospatial":"Glen Canyon Dam, Lake Powell","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.0833,\n              36.8833\n            ],\n            [\n              -110.0833,\n              38\n            ],\n            [\n              -111.4572,\n              38\n            ],\n            [\n              -111.4572,\n              36.8833\n            ],\n            [\n              -110.0833,\n              36.8833\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Originally posted on October 22, 2009; Version 2.0: October 2013; Version 3.0: February 17, 2015","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db685cb9","contributors":{"authors":[{"text":"Vernieu, William S.","contributorId":49068,"corporation":false,"usgs":true,"family":"Vernieu","given":"William S.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":303704,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}