{"pageNumber":"955","pageRowStart":"23850","pageSize":"25","recordCount":40807,"records":[{"id":70029714,"text":"70029714 - 2007 - Correcting acoustic Doppler current profiler discharge measurement bias from moving-bed conditions without global positioning during the 2004 Glen Canyon Dam controlled flood on the Colorado River","interactions":[],"lastModifiedDate":"2012-03-12T17:21:38","indexId":"70029714","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2622,"text":"Limnology and Oceanography: Methods","active":true,"publicationSubtype":{"id":10}},"title":"Correcting acoustic Doppler current profiler discharge measurement bias from moving-bed conditions without global positioning during the 2004 Glen Canyon Dam controlled flood on the Colorado River","docAbstract":"Discharge measurements were made by acoustic Doppler current profiler at two locations on the Colorado River during the 2004 controlled flood from Glen Canyon Dam, Arizona. Measurement hardware and software have constantly improved from the 1980s such that discharge measurements by acoustic profiling instruments are now routinely made over a wide range of hydrologic conditions. However, measurements made with instruments deployed from moving boats require reliable boat velocity data for accurate measurements of discharge. This is normally accomplished by using special acoustic bottom track pings that sense instrument motion over bottom. While this method is suitable for most conditions, high current flows that produce downstream bed sediment movement create a condition known as moving bed that will bias velocities and discharge to lower than actual values. When this situation exists, one solution is to determine boat velocity with satellite positioning information. Another solution is to use a lower frequency instrument. Discharge measurements made during the 2004 Glen Canyon controlled flood were subject to moving-bed conditions and frequent loss of bottom track. Due to site conditions and equipment availability, the measurements were conducted without benefit of external positioning information or lower frequency instruments. This paper documents and evaluates several techniques used to correct the resulting underestimated discharge measurements. One technique produces discharge values in good agreement with estimates from numerical model and measured hydrographs during the flood. ?? 2007, by the American Society of Limnology and Oceanography, Inc.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Limnology and Oceanography: Methods","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"15415856","usgsCitation":"Gartner, J.W., and Ganju, N., 2007, Correcting acoustic Doppler current profiler discharge measurement bias from moving-bed conditions without global positioning during the 2004 Glen Canyon Dam controlled flood on the Colorado River: Limnology and Oceanography: Methods, v. 5, no. JUN, p. 156-162.","startPage":"156","endPage":"162","numberOfPages":"7","costCenters":[],"links":[{"id":240641,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"JUN","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059fc1ee4b0c8380cd4e11d","contributors":{"authors":[{"text":"Gartner, J. W.","contributorId":81903,"corporation":false,"usgs":false,"family":"Gartner","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":423973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ganju, N. K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":64782,"corporation":false,"usgs":true,"family":"Ganju","given":"N. K.","affiliations":[],"preferred":false,"id":423972,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032919,"text":"70032919 - 2007 - Vapor transfer prior to the October 2004 eruption of Mount St. Helens, Washington","interactions":[],"lastModifiedDate":"2019-03-04T14:55:36","indexId":"70032919","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Vapor transfer prior to the October 2004 eruption of Mount St. Helens, Washington","docAbstract":"<p>Dome lavas from the 2004 eruption of Mount St. Helens show elevated Li contents in plagioclase phenocrysts at the onset of dome growth in October 2004. These cannot be explained by variations in plagioclase-melt partitioning, but require elevated Li contents in coexisting melt, a fact confirmed by measurements of Li contents as high as 207 µg/g in coexisting melt inclusions. Similar Li enrichment has been observed in material erupted prior to and during the climactic May 1980 eruption, and is likewise best explained via pre-eruptive transfer of an exsolved alkali-rich vapor phase derived from deeper within the magma transport system. Unlike 1980, however, high Li samples from 2004 show no evidence of excess (<sup>210</sup>Pb)/(<sup>226</sup>Ra), implying that measurable Li enrichments may occur despite significant differences in the timing and/or extent of magmatic degassing.</p><p>Diffusion modeling shows that Li enrichment occurred within ∼1 yr before eruption, and that magma remained Li enriched until immediately before eruption and cooling. This short flux time and the very high Li contents in ash produced by phreatomagmatic activity prior to the onset of dome extrusion suggest that vapor transfer and accumulation were associated with initiation of the current eruption. Overall, observation of a high Li signature in both 1980 and 2004 dacites indicates that Li enrichment may be a relatively common phenomenon, and may prove useful for petrologic monitoring of Mount St. Helens and other silicic volcanoes. Lithium diffusion is also sufficiently rapid to constrain vapor transfer on similar time scales to short-lived radionuclides.</p>","language":"English","publisher":"The Geological Society of America","doi":"10.1130/G22809A.1","issn":"00917613","usgsCitation":"Kent, A., Blundy, J., Cashman, K.V., Copper, K., Donnelly, C., Pallister, J.S., Reagan, M., Rowe, M., and Thornber, C., 2007, Vapor transfer prior to the October 2004 eruption of Mount St. Helens, Washington: Geology, v. 35, no. 3, p. 231-234, https://doi.org/10.1130/G22809A.1.","productDescription":"4 p.","startPage":"231","endPage":"234","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":240771,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213173,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G22809A.1"}],"volume":"35","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc11fe4b08c986b32a45e","contributors":{"authors":[{"text":"Kent, A.J.R.","contributorId":76123,"corporation":false,"usgs":true,"family":"Kent","given":"A.J.R.","email":"","affiliations":[],"preferred":false,"id":438528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blundy, J.","contributorId":32351,"corporation":false,"usgs":true,"family":"Blundy","given":"J.","affiliations":[],"preferred":false,"id":438522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cashman, K. V.","contributorId":16831,"corporation":false,"usgs":true,"family":"Cashman","given":"K.","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":438521,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Copper, K.M.","contributorId":40808,"corporation":false,"usgs":true,"family":"Copper","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":438523,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Donnelly, C.","contributorId":42042,"corporation":false,"usgs":true,"family":"Donnelly","given":"C.","email":"","affiliations":[],"preferred":false,"id":438525,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pallister, John S. 0000-0002-2041-2147 jpallist@usgs.gov","orcid":"https://orcid.org/0000-0002-2041-2147","contributorId":2024,"corporation":false,"usgs":true,"family":"Pallister","given":"John","email":"jpallist@usgs.gov","middleInitial":"S.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":438526,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reagan, M.","contributorId":13445,"corporation":false,"usgs":true,"family":"Reagan","given":"M.","affiliations":[],"preferred":false,"id":438520,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rowe, M.C.","contributorId":42041,"corporation":false,"usgs":true,"family":"Rowe","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":438524,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thornber, Carl 0000-0002-6382-4408 cthornber@usgs.gov","orcid":"https://orcid.org/0000-0002-6382-4408","contributorId":167396,"corporation":false,"usgs":true,"family":"Thornber","given":"Carl","email":"cthornber@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":438527,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70032934,"text":"70032934 - 2007 - Adaptive data-driven models for estimating carbon fluxes in the Northern Great Plains","interactions":[],"lastModifiedDate":"2017-04-12T15:48:17","indexId":"70032934","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Adaptive data-driven models for estimating carbon fluxes in the Northern Great Plains","docAbstract":"Rangeland carbon fluxes are highly variable in both space and time. Given the expansive areas of rangelands, how rangelands respond to climatic variation, management, and soil potential is important to understanding carbon dynamics. Rangeland carbon fluxes associated with Net Ecosystem Exchange (NEE) were measured from multiple year data sets at five flux tower locations in the Northern Great Plains. These flux tower measurements were combined with 1-km2 spatial data sets of Photosynthetically Active Radiation (PAR), Normalized Difference Vegetation Index (NDVI), temperature, precipitation, seasonal NDVI metrics, and soil characteristics. Flux tower measurements were used to train and select variables for a rule-based piece-wise regression model. The accuracy and stability of the model were assessed through random cross-validation and cross-validation by site and year. Estimates of NEE were produced for each 10-day period during each growing season from 1998 to 2001. Growing season carbon flux estimates were combined with winter flux estimates to derive and map annual estimates of NEE. The rule-based piece-wise regression model is a dynamic, adaptive model that captures the relationships of the spatial data to NEE as conditions evolve throughout the growing season. The carbon dynamics in the Northern Great Plains proved to be in near equilibrium, serving as a small carbon sink in 1999 and as a small carbon source in 1998, 2000, and 2001. Patterns of carbon sinks and sources are very complex, with the carbon dynamics tilting toward sources in the drier west and toward sinks in the east and near the mountains in the extreme west. Significant local variability exists, which initial investigations suggest are likely related to local climate variability, soil properties, and management.","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2006.09.017","issn":"00344257","usgsCitation":"Wylie, B., Fosnight, E., Gilmanov, T., Frank, A., Morgan, J., Haferkamp, M.R., and Meyers, T., 2007, Adaptive data-driven models for estimating carbon fluxes in the Northern Great Plains: Remote Sensing of Environment, v. 106, no. 4, p. 399-413, https://doi.org/10.1016/j.rse.2006.09.017.","productDescription":"15 p.","startPage":"399","endPage":"413","numberOfPages":"15","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":241035,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213411,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.rse.2006.09.017"}],"volume":"106","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e6e3e4b0c8380cd476dd","contributors":{"authors":[{"text":"Wylie, B.K. 0000-0002-7374-1083","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":24877,"corporation":false,"usgs":true,"family":"Wylie","given":"B.K.","affiliations":[],"preferred":false,"id":438600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fosnight, E. A. 0000-0002-8557-3697","orcid":"https://orcid.org/0000-0002-8557-3697","contributorId":97911,"corporation":false,"usgs":true,"family":"Fosnight","given":"E. A.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":438604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilmanov, T.G.","contributorId":44716,"corporation":false,"usgs":true,"family":"Gilmanov","given":"T.G.","email":"","affiliations":[],"preferred":false,"id":438601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frank, A.B.","contributorId":91306,"corporation":false,"usgs":true,"family":"Frank","given":"A.B.","email":"","affiliations":[],"preferred":false,"id":438603,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morgan, J.A.","contributorId":74162,"corporation":false,"usgs":true,"family":"Morgan","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":438602,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haferkamp, Marshall R.","contributorId":98548,"corporation":false,"usgs":true,"family":"Haferkamp","given":"Marshall","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":438605,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meyers, T.P.","contributorId":14592,"corporation":false,"usgs":true,"family":"Meyers","given":"T.P.","email":"","affiliations":[],"preferred":false,"id":438599,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70033046,"text":"70033046 - 2007 - Assessing small mammal abundance with track-tube indices and mark-recapture population estimates","interactions":[],"lastModifiedDate":"2017-08-31T13:51:41","indexId":"70033046","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Assessing small mammal abundance with track-tube indices and mark-recapture population estimates","docAbstract":"<p><span>We compared track-tube sampling with mark–recapture livetrapping and evaluated a track-tube index, defined as the number of track tubes with identifiable small mammal tracks during a 4-night period, as a predictor of small mammal abundance estimates in North Dakota grasslands. Meadow voles (</span><i>Microtus pennsylvanicus</i><span>) were the most commonly recorded species by both methods, but were underrepresented in track-tube sampling, whereas 13-lined ground squirrels (</span><i>Spermophilus tridecemlineatus</i><span>) and Franklin's ground squirrels (</span><i>S. franklinii</i><span>) were overrepresented in track-tube sampling. Estimates of average species richness were lower from track tubes than from livetrapping. Regression models revealed that the track-tube index was at best a moderately good predictor of small mammal population estimates because both the form (linear versus curvilinear) and slope of the relationship varied between years. In addition, 95% prediction intervals indicated low precision when predicting population estimates from new track-tube index observations. Track tubes required less time and expense than mark–recapture and eliminated handling of small mammals. Using track tubes along with mark–recapture in a double sampling for regression framework would have potential value when attempting to estimate abundance of small mammals over large areas.</span></p>","language":"English","publisher":"Oxford","doi":"10.1644/06-MAMM-A-098R1.1","issn":"00222372","usgsCitation":"Wiewel, A., Clark, W.R., and Sovada, M.A., 2007, Assessing small mammal abundance with track-tube indices and mark-recapture population estimates: Journal of Mammalogy, v. 88, no. 1, p. 250-260, https://doi.org/10.1644/06-MAMM-A-098R1.1.","productDescription":"11 p.","startPage":"250","endPage":"260","numberOfPages":"11","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":477037,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1644/06-mamm-a-098r1.1","text":"Publisher Index Page"},{"id":241186,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213552,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1644/06-MAMM-A-098R1.1"}],"volume":"88","issue":"1","noUsgsAuthors":false,"publicationDate":"2007-02-28","publicationStatus":"PW","scienceBaseUri":"5059ede1e4b0c8380cd49a8e","contributors":{"authors":[{"text":"Wiewel, A.S.","contributorId":8682,"corporation":false,"usgs":true,"family":"Wiewel","given":"A.S.","email":"","affiliations":[],"preferred":false,"id":439110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, William R.","contributorId":174794,"corporation":false,"usgs":false,"family":"Clark","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":439112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sovada, Marsha A. msovada@usgs.gov","contributorId":2601,"corporation":false,"usgs":true,"family":"Sovada","given":"Marsha","email":"msovada@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":439111,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":79979,"text":"pp1732D - 2007 - Estimating the amount of eroded section in a partially exhumed basin from geophysical well logs: An example from the North Slope","interactions":[{"subject":{"id":79979,"text":"pp1732D - 2007 - Estimating the amount of eroded section in a partially exhumed basin from geophysical well logs: An example from the North Slope","indexId":"pp1732D","publicationYear":"2007","noYear":false,"chapter":"D","title":"Estimating the amount of eroded section in a partially exhumed basin from geophysical well logs: An example from the North Slope"},"predicate":"IS_PART_OF","object":{"id":79483,"text":"pp1732 - 2006 - Studies by the U.S. Geological Survey in Alaska, 2005","indexId":"pp1732","publicationYear":"2006","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, 2005"},"id":1}],"isPartOf":{"id":79483,"text":"pp1732 - 2006 - Studies by the U.S. Geological Survey in Alaska, 2005","indexId":"pp1732","publicationYear":"2006","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, 2005"},"lastModifiedDate":"2023-11-09T15:20:59.351701","indexId":"pp1732D","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1732","chapter":"D","title":"Estimating the amount of eroded section in a partially exhumed basin from geophysical well logs: An example from the North Slope","docAbstract":"The reconstruction of burial and thermal histories of partially exhumed basins requires an estimation of the amount of erosion that has occurred since the time of maximum burial. We have developed a method for estimating eroded thickness by using porosity-depth trends derived from borehole sonic logs of wells in the Colville Basin of northern Alaska. Porosity-depth functions defined from sonic-porosity logs in wells drilled in minimally eroded parts of the basin provide a baseline for comparison with the porosity-depth trends observed in other wells across the basin. Calculated porosities, based on porosity-depth functions, were fitted to the observed data in each well by varying the amount of section assumed to have been eroded from the top of the sedimentary column. The result is an estimate of denudation at the wellsite since the time of maximum sediment accumulation. Alternative methods of estimating exhumation include fission-track analysis and projection of trendlines through vitrinite-reflectance profiles. In the Colville Basin, the methodology described here provides results generally similar to those from fission-track analysis and vitrinite-reflectance profiles, but with greatly improved spatial resolution relative to the published fission-track data and with improved reliability relative to the vitrinite-reflectance data. In addition, the exhumation estimates derived from sonic-porosity logs are independent of the thermal evolution of the basin, allowing these estimates to be used as independent variables in thermal-history modeling.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Studies by the U.S. Geological Survey in Alaska, 2005 (Professional Paper 1732)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/pp1732D","usgsCitation":"Burns, W.M., Hayba, D.O., Rowan, E.L., and Houseknecht, D.W., 2007, Estimating the amount of eroded section in a partially exhumed basin from geophysical well logs: An example from the North Slope: U.S. Geological Survey Professional Paper 1732, 18 p., https://doi.org/10.3133/pp1732D.","productDescription":"18 p.","onlineOnly":"Y","temporalStart":"2005-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":191970,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":415479,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_81295.htm","linkFileType":{"id":5,"text":"html"}},{"id":9706,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/pp1732/pp1732d/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"North Slope","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -166,\n              71.5\n            ],\n            [\n              -166,\n              68.5\n            ],\n            [\n              -145.5,\n              68.5\n            ],\n            [\n              -145.5,\n              71.5\n            ],\n            [\n              -166,\n              71.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae2e4b07f02db688bd0","contributors":{"authors":[{"text":"Burns, W. Matthew","contributorId":56742,"corporation":false,"usgs":true,"family":"Burns","given":"W.","email":"","middleInitial":"Matthew","affiliations":[],"preferred":false,"id":291360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayba, Daniel O. 0000-0003-4092-1894 dhayba@usgs.gov","orcid":"https://orcid.org/0000-0003-4092-1894","contributorId":396,"corporation":false,"usgs":true,"family":"Hayba","given":"Daniel","email":"dhayba@usgs.gov","middleInitial":"O.","affiliations":[],"preferred":true,"id":291357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rowan, Elisabeth L. 0000-0001-5753-6189 erowan@usgs.gov","orcid":"https://orcid.org/0000-0001-5753-6189","contributorId":2075,"corporation":false,"usgs":true,"family":"Rowan","given":"Elisabeth","email":"erowan@usgs.gov","middleInitial":"L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":291359,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Houseknecht, David W. 0000-0002-9633-6910 dhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":645,"corporation":false,"usgs":true,"family":"Houseknecht","given":"David","email":"dhouse@usgs.gov","middleInitial":"W.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":291358,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70033058,"text":"70033058 - 2007 - Chinook salmon use of spawning patches: Relative roles of habitat quality, size, and connectivity","interactions":[],"lastModifiedDate":"2017-11-15T13:56:58","indexId":"70033058","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Chinook salmon use of spawning patches: Relative roles of habitat quality, size, and connectivity","docAbstract":"Declines in many native fish populations have led to reassessments of management goals and shifted priorities from consumptive uses to species preservation. As management has shifted, relevant environmental characteristics have evolved from traditional metrics that described local habitat quality to characterizations of habitat size and connectivity. Despite the implications this shift has for how habitats may be prioritized for conservation, it has been rare to assess the relative importance of these habitat components. We used an information-theoretic approach to select the best models from sets of logistic regressions that linked habitat quality, size, and connectivity to the occurrence of chinook salmon (Oncorhynchus tshawytscha) nests. Spawning distributions were censused annually from 1995 to 2004, and data were complemented with field measurements that described habitat quality in 43 suitable spawning patches across a stream network that drained 1150 km 2 in central Idaho. Results indicated that the most plausible models were dominated by measures of habitat size and connectivity, whereas habitat quality was of minor importance. Connectivity was the strongest predictor of nest occurrence, but connectivity interacted with habitat size, which became relatively more important when populations were reduced. Comparison of observed nest distributions to null model predictions confirmed that the habitat size association was driven by a biological mechanism when populations were small, but this association may have been an area-related sampling artifact at higher abundances. The implications for habitat management are that the size and connectivity of existing habitat networks should be maintained whenever possible. In situations where habitat restoration is occurring, expansion of existing areas or creation of new habitats in key areas that increase connectivity may be beneficial. Information about habitat size and connectivity also could be used to strategically prioritize areas for improvement of local habitat quality, with areas not meeting minimum thresholds being deemed inappropriate for pursuit of restoration activities. ?? 2007 by the Ecological Society of America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1890/05-1949","issn":"10510761","usgsCitation":"Isaak, D., Thurow, R., Rieman, B., and Dunham, J., 2007, Chinook salmon use of spawning patches: Relative roles of habitat quality, size, and connectivity: Ecological Applications, v. 17, no. 2, p. 352-364, https://doi.org/10.1890/05-1949.","startPage":"352","endPage":"364","numberOfPages":"13","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":240883,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213274,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/05-1949"}],"volume":"17","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f5bce4b0c8380cd4c3bb","contributors":{"authors":[{"text":"Isaak, D.J.","contributorId":77326,"corporation":false,"usgs":true,"family":"Isaak","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":439192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thurow, R.F.","contributorId":69357,"corporation":false,"usgs":true,"family":"Thurow","given":"R.F.","email":"","affiliations":[],"preferred":false,"id":439191,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rieman, B.E.","contributorId":67283,"corporation":false,"usgs":true,"family":"Rieman","given":"B.E.","email":"","affiliations":[],"preferred":false,"id":439190,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunham, J. B. 0000-0002-6268-0633","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":96637,"corporation":false,"usgs":true,"family":"Dunham","given":"J. B.","affiliations":[],"preferred":false,"id":439193,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70030210,"text":"70030210 - 2007 - Generating an image of dispersive energy by frequency decomposition and slant stacking","interactions":[],"lastModifiedDate":"2012-03-12T17:21:01","indexId":"70030210","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","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":"Generating an image of dispersive energy by frequency decomposition and slant stacking","docAbstract":"We present a new algorithm for calculating an image of dispersive energy in the frequency-velocity (f-v) domain. The frequency decomposition is first applied to a shot gather in the offset-time domain to stretch impulsive data into pseudo-vibroseis data or frequency-swept data. Because there is a deterministic relationship between frequency and time in a sweep used in the frequency decomposition, the first step theoretically completes the transform from time to frequency. The slant stacking is then performed on the frequency-swept data to complete the transform from offset to velocity. This simple two-step algorithm generates an image of dispersive energy in the f-v domain. The straightforward transform only uses offset information of data so that this algorithm can be applied to data acquired with arbitrary geophone-acquisition geometry. Examples of synthetic and real-world data demonstrate that this algorithm generates accurate images of dispersive energy of the fundamental as well as higher modes. ?? Birkha??user Verlag, Basel, 2007.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Pure and Applied Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s00024-007-0204-9","issn":"00334553","usgsCitation":"Xia, J., Xu, Y., and Miller, R., 2007, Generating an image of dispersive energy by frequency decomposition and slant stacking: Pure and Applied Geophysics, v. 164, no. 5, p. 941-956, https://doi.org/10.1007/s00024-007-0204-9.","startPage":"941","endPage":"956","numberOfPages":"16","costCenters":[],"links":[{"id":239291,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":211912,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00024-007-0204-9"}],"volume":"164","issue":"5","noUsgsAuthors":false,"publicationDate":"2007-04-16","publicationStatus":"PW","scienceBaseUri":"505a154ee4b0c8380cd54d47","contributors":{"authors":[{"text":"Xia, J.","contributorId":63513,"corporation":false,"usgs":true,"family":"Xia","given":"J.","email":"","affiliations":[],"preferred":false,"id":426138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xu, Y.","contributorId":47816,"corporation":false,"usgs":true,"family":"Xu","given":"Y.","email":"","affiliations":[],"preferred":false,"id":426137,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, R. D.","contributorId":92693,"corporation":false,"usgs":true,"family":"Miller","given":"R. D.","affiliations":[],"preferred":false,"id":426139,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70030209,"text":"70030209 - 2007 - Statistical analysis of water-quality data containing multiple detection limits II: S-language software for nonparametric distribution modeling and hypothesis testing","interactions":[],"lastModifiedDate":"2012-03-12T17:21:01","indexId":"70030209","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"Statistical analysis of water-quality data containing multiple detection limits II: S-language software for nonparametric distribution modeling and hypothesis testing","docAbstract":"Analysis of low concentrations of trace contaminants in environmental media often results in left-censored data that are below some limit of analytical precision. Interpretation of values becomes complicated when there are multiple detection limits in the data-perhaps as a result of changing analytical precision over time. Parametric and semi-parametric methods, such as maximum likelihood estimation and robust regression on order statistics, can be employed to model distributions of multiply censored data and provide estimates of summary statistics. However, these methods are based on assumptions about the underlying distribution of data. Nonparametric methods provide an alternative that does not require such assumptions. A standard nonparametric method for estimating summary statistics of multiply-censored data is the Kaplan-Meier (K-M) method. This method has seen widespread usage in the medical sciences within a general framework termed \"survival analysis\" where it is employed with right-censored time-to-failure data. However, K-M methods are equally valid for the left-censored data common in the geosciences. Our S-language software provides an analytical framework based on K-M methods that is tailored to the needs of the earth and environmental sciences community. This includes routines for the generation of empirical cumulative distribution functions, prediction or exceedance probabilities, and related confidence limits computation. Additionally, our software contains K-M-based routines for nonparametric hypothesis testing among an unlimited number of grouping variables. A primary characteristic of K-M methods is that they do not perform extrapolation and interpolation. Thus, these routines cannot be used to model statistics beyond the observed data range or when linear interpolation is desired. For such applications, the aforementioned parametric and semi-parametric methods must be used.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Computers and Geosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.cageo.2006.09.006","issn":"00983004","usgsCitation":"Lee, L., and Helsel, D., 2007, Statistical analysis of water-quality data containing multiple detection limits II: S-language software for nonparametric distribution modeling and hypothesis testing: Computers & Geosciences, v. 33, no. 5, p. 696-704, https://doi.org/10.1016/j.cageo.2006.09.006.","startPage":"696","endPage":"704","numberOfPages":"9","costCenters":[],"links":[{"id":211885,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.cageo.2006.09.006"},{"id":239259,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9716e4b08c986b31b891","contributors":{"authors":[{"text":"Lee, L.","contributorId":77730,"corporation":false,"usgs":true,"family":"Lee","given":"L.","email":"","affiliations":[],"preferred":false,"id":426135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Helsel, D.","contributorId":94492,"corporation":false,"usgs":true,"family":"Helsel","given":"D.","email":"","affiliations":[],"preferred":false,"id":426136,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70033059,"text":"70033059 - 2007 - Drag-out effect of piezomagnetic signals due to a borehole: The Mogi source as an example","interactions":[],"lastModifiedDate":"2019-03-25T11:03:19","indexId":"70033059","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":793,"text":"Annals of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Drag-out effect of piezomagnetic signals due to a borehole: The Mogi source as an example","docAbstract":"We show that using borehole measurements in tectonomagnetic experiments allows enhancement of the observed signals. New magnetic dipoles, which vary with stress changes from mechanical sources, are produced on the walls of the borehole. We evaluate such an effect quantitatively. First we formulate a general expression for the borehole effect due to any arbitrary source models. This is valid everywhere above the ground surface as well as within the cylindrical hole. A first-order approximate solution is given by a line of horizontal dipoles and vertical quadrupoles along the central axis of the borehole, which is valid above the ground surface and a slightly away (several tens of cm) from the top of the borehole. Selecting the Mogi model as an example, we numerically evaluated the borehole effect. It turned out that the vertical quadrupoles produce two orders of magnitude more intense magnetic field than the horizontal dipoles. The borehole effect is very local, i.e. detectable only within a few m from its outlet, since it is of the same order or more than the case without a borehole. However, magnetic lines of force cannot reach the ground surface from a deeper portion (> 10 m) of a borehole.","language":"English","publisher":"INGV","doi":"10.4401/ag-3089","issn":"15935213","usgsCitation":"Sasai, Y., Johnston, M., Tanaka, Y., Mueller, R., Hashimoto, T., Utsugi, M., Sakanaka, S., Uyeshima, M., Zlotnicki, J., and Yvetot, P., 2007, Drag-out effect of piezomagnetic signals due to a borehole: The Mogi source as an example: Annals of Geophysics, v. 50, no. 1, p. 93-104, https://doi.org/10.4401/ag-3089.","productDescription":"12 p.","startPage":"93","endPage":"104","numberOfPages":"12","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":477103,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4401/ag-3089","text":"Publisher Index Page"},{"id":240884,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-12-18","publicationStatus":"PW","scienceBaseUri":"505a03bee4b0c8380cd50630","contributors":{"authors":[{"text":"Sasai, Y.","contributorId":50340,"corporation":false,"usgs":true,"family":"Sasai","given":"Y.","affiliations":[],"preferred":false,"id":439200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnston, M.J.S. 0000-0003-4326-8368","orcid":"https://orcid.org/0000-0003-4326-8368","contributorId":104889,"corporation":false,"usgs":true,"family":"Johnston","given":"M.J.S.","affiliations":[],"preferred":false,"id":439203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tanaka, Y.","contributorId":14214,"corporation":false,"usgs":true,"family":"Tanaka","given":"Y.","email":"","affiliations":[],"preferred":false,"id":439196,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mueller, R.","contributorId":23398,"corporation":false,"usgs":true,"family":"Mueller","given":"R.","email":"","affiliations":[],"preferred":false,"id":439197,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hashimoto, T.","contributorId":9535,"corporation":false,"usgs":true,"family":"Hashimoto","given":"T.","email":"","affiliations":[],"preferred":false,"id":439195,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Utsugi, M.","contributorId":45586,"corporation":false,"usgs":true,"family":"Utsugi","given":"M.","email":"","affiliations":[],"preferred":false,"id":439199,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sakanaka, S.","contributorId":55697,"corporation":false,"usgs":true,"family":"Sakanaka","given":"S.","email":"","affiliations":[],"preferred":false,"id":439202,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Uyeshima, M.","contributorId":55293,"corporation":false,"usgs":true,"family":"Uyeshima","given":"M.","email":"","affiliations":[],"preferred":false,"id":439201,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zlotnicki, J.","contributorId":43636,"corporation":false,"usgs":true,"family":"Zlotnicki","given":"J.","email":"","affiliations":[],"preferred":false,"id":439198,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yvetot, P.","contributorId":9136,"corporation":false,"usgs":true,"family":"Yvetot","given":"P.","email":"","affiliations":[],"preferred":false,"id":439194,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70030120,"text":"70030120 - 2007 - Habitat relationships of birds overwintering in a managed coastal prairie","interactions":[],"lastModifiedDate":"2012-03-12T17:21:08","indexId":"70030120","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Habitat relationships of birds overwintering in a managed coastal prairie","docAbstract":"Grassland birds are considered to be rapidly declining in North America. Management approaches for grassland birds frequently rely on prescribed burning to maintain habitat in suitable condition. We evaluated the relationships among years since burn, vegetation structure, and overwintering grassland bird abundance in coastal prairie. Le Conte's Sparrows (Ammodramus leconteii) were most common in areas that had: (1) been burned within the previous 2 years, (2) medium density herbaceous vegetation, and (3) sparse shrub densities. Savannah Sparrows (Passerculus sandwichensis) were associated with areas: (1) burned within 1 year, (2) with sparse herbaceous vegetation, and (3) with sparse shrub densities. Sedge Wrens (Cistothorus platensis) were most common in areas that had: (1) burned greater than 2 years prior and (2) dense herbaceous vegetation. Swamp Sparrows (Melospiza georgiana): (1) were most common in areas of dense shrubs, (2) not related to time since burnings, and (3) demonstrated no relationship to herbaceous vegetation densities. The relationships to fire histories for all four bird species could be explained by the associated vegetation characteristics indicating the need for a mosaic of burn rotations and modest levels of woody vegetation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wilson Journal of Ornithology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1676/05-129.1","issn":"15594491","usgsCitation":"Baldwin, H., Grace, J., Barrow, W., and Rohwer, F., 2007, Habitat relationships of birds overwintering in a managed coastal prairie: Wilson Journal of Ornithology, v. 119, no. 2, p. 189-197, https://doi.org/10.1676/05-129.1.","startPage":"189","endPage":"197","numberOfPages":"9","costCenters":[],"links":[{"id":212993,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1676/05-129.1"},{"id":240569,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2f1ae4b0c8380cd5cab7","contributors":{"authors":[{"text":"Baldwin, H.Q.","contributorId":27680,"corporation":false,"usgs":true,"family":"Baldwin","given":"H.Q.","email":"","affiliations":[],"preferred":false,"id":425798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grace, J.B. 0000-0001-6374-4726","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":38938,"corporation":false,"usgs":true,"family":"Grace","given":"J.B.","affiliations":[],"preferred":false,"id":425799,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barrow, W.C. Jr. 0000-0003-4671-2823","orcid":"https://orcid.org/0000-0003-4671-2823","contributorId":11183,"corporation":false,"usgs":true,"family":"Barrow","given":"W.C.","suffix":"Jr.","affiliations":[],"preferred":false,"id":425796,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rohwer, F.C.","contributorId":26043,"corporation":false,"usgs":true,"family":"Rohwer","given":"F.C.","email":"","affiliations":[],"preferred":false,"id":425797,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70033077,"text":"70033077 - 2007 - Modeling pesticide fate in a small tidal estuary","interactions":[],"lastModifiedDate":"2012-03-12T17:21:23","indexId":"70033077","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Modeling pesticide fate in a small tidal estuary","docAbstract":"The exposure analysis modeling system (EXAMS), a pesticide fate model developed by the U.S. Environmental Protection Agency, was modified to model the fate of the herbicides atrazine and metolachlor in a small tidally dominated estuary (Bath Creek) in North Carolina, USA where freshwater inflow accounts for only 3% of the total flow. The modifications simulated the changes that occur during the tidal cycle in the estuary, scenarios that are not possible with the original EXAMS model. Two models were created within EXAMS, a steady-state model and a time-variant tidally driven model. The steady-state model accounted for tidal flushing by simply altering freshwater input to yield an estuary residence time equal to that measured in Bath Creek. The tidal EXAMS model explicitly incorporated tidal flushing by modifying the EXAMS code to allow for temporal changes in estuary physical attributes (e.g., volume). The models were validated with empirical measurements of atrazine and metolachlor concentrations in the estuary shortly after herbicide application in nearby fields and immediately following a rain event. Both models provided excellent agreement with measured concentrations. The steady-state EXAMS model accurately predicted atrazine concentrations in the middle of the estuary over the first 3 days and under-predicted metolachlor by a factor of 2-3. The time-variant, tidally driven EXAMS model accurately predicted the rise and plateau of both herbicides over the 6-day measurement period. We have demonstrated the ability of these modified EXAMS models to be useful in predicting pesticide fate and exposure in small tidal estuaries. This is a significant improvement and expansion of the application of EXAMS, and given the wide use of EXAMS for surface water quality modeling by both researchers and regulators and the ability of EXAMS to interface with terrestrial models (e.g., pesticide root zone model) and bioaccumulation models, we now have an easily-accessible and widely accepted means of modeling chemical fate in estuaries. ?? 2006 Elsevier B.V. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Modelling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.ecolmodel.2006.07.013","issn":"03043800","usgsCitation":"McCarthy, A., Bales, J., Cope, W., and Shea, D., 2007, Modeling pesticide fate in a small tidal estuary: Ecological Modelling, v. 200, no. 1-2, p. 149-159, https://doi.org/10.1016/j.ecolmodel.2006.07.013.","startPage":"149","endPage":"159","numberOfPages":"11","costCenters":[],"links":[{"id":241224,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213586,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2006.07.013"}],"volume":"200","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5c1be4b0c8380cd6fa31","contributors":{"authors":[{"text":"McCarthy, A.M.","contributorId":86981,"corporation":false,"usgs":true,"family":"McCarthy","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":439287,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bales, J. D.","contributorId":21569,"corporation":false,"usgs":true,"family":"Bales","given":"J. D.","affiliations":[],"preferred":false,"id":439284,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cope, W.G.","contributorId":71918,"corporation":false,"usgs":true,"family":"Cope","given":"W.G.","email":"","affiliations":[],"preferred":false,"id":439285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shea, D.","contributorId":84987,"corporation":false,"usgs":true,"family":"Shea","given":"D.","email":"","affiliations":[],"preferred":false,"id":439286,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70033078,"text":"70033078 - 2007 - Optimal management of non-Markovian biological populations","interactions":[],"lastModifiedDate":"2012-03-12T17:21:35","indexId":"70033078","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Optimal management of non-Markovian biological populations","docAbstract":"Wildlife populations typically are described by Markovian models, with population dynamics influenced at each point in time by current but not previous population levels. Considerable work has been done on identifying optimal management strategies under the Markovian assumption. In this paper we generalize this work to non-Markovian systems, for which population responses to management are influenced by lagged as well as current status and/or controls. We use the maximum principle of optimal control theory to derive conditions for the optimal management such a system, and illustrate the effects of lags on the structure of optimal habitat strategies for a predator-prey system.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Modelling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.ecolmodel.2006.07.039","issn":"03043800","usgsCitation":"Williams, B.K., 2007, Optimal management of non-Markovian biological populations: Ecological Modelling, v. 200, no. 1-2, p. 234-242, https://doi.org/10.1016/j.ecolmodel.2006.07.039.","startPage":"234","endPage":"242","numberOfPages":"9","costCenters":[],"links":[{"id":213121,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2006.07.039"},{"id":240714,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"200","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6ee5e4b0c8380cd7585c","contributors":{"authors":[{"text":"Williams, B. Kenneth","contributorId":107798,"corporation":false,"usgs":true,"family":"Williams","given":"B.","email":"","middleInitial":"Kenneth","affiliations":[],"preferred":false,"id":439288,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70029906,"text":"70029906 - 2007 - Relative influence of streamflows in assessing temporal variability in stream habitat","interactions":[],"lastModifiedDate":"2012-03-12T17:21:08","indexId":"70029906","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Relative influence of streamflows in assessing temporal variability in stream habitat","docAbstract":"The effects of streamflows on temporal variation in stream habitat were analyzed from the data collected 6-11 years apart at 38 sites across the United States. Multiple linear regression was used to assess the variation in habitat caused by streamflow at the time of sampling and high flows between sampling. In addition to flow variables, the model also contained geomorphic and land use factors. The regression model was statistically significant (p < 0.05; R 2 = 0.31-0.46) for 5 of 14 habitat variables: mean wetted stream depth, mean bankfull depth, mean wetted stream width, coefficient of variation of wetted stream width, and the percent frequency of bank erosion. High flows between samples accounted for about 16% of the total variation in the frequency of bank erosion. Streamflow at the time of sampling was the main source of variation in mean stream depth and contributed to the variation in mean stream width and the frequency of bank erosion. Urban land use (population change) accounted for over 20% of the total variation in mean bankfull depth, 15% of the total variation in the coefficient of variation of stream width, and about 10% of the variation in mean stream width. ?? 2007 American Water Resources Association.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1752-1688.2007.00051.x","issn":"1093474X","usgsCitation":"Goldstein, R.M., Meador, M.R., and Ruhl, K., 2007, Relative influence of streamflows in assessing temporal variability in stream habitat: Journal of the American Water Resources Association, v. 43, no. 3, p. 642-650, https://doi.org/10.1111/j.1752-1688.2007.00051.x.","startPage":"642","endPage":"650","numberOfPages":"9","costCenters":[],"links":[{"id":240354,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":212810,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1752-1688.2007.00051.x"}],"volume":"43","issue":"3","noUsgsAuthors":false,"publicationDate":"2007-05-07","publicationStatus":"PW","scienceBaseUri":"505aa68ce4b0c8380cd84ef6","contributors":{"authors":[{"text":"Goldstein, R. M.","contributorId":98305,"corporation":false,"usgs":true,"family":"Goldstein","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":424849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meador, M. R.","contributorId":74400,"corporation":false,"usgs":true,"family":"Meador","given":"M.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":424847,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruhl, K.E.","contributorId":92869,"corporation":false,"usgs":true,"family":"Ruhl","given":"K.E.","email":"","affiliations":[],"preferred":false,"id":424848,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":79828,"text":"sir20065323 - 2007 - Hydrology and Flood Profiles of Duck Creek and Jordan Creek Downstream from Egan Drive, Juneau, Alaska","interactions":[],"lastModifiedDate":"2012-02-02T00:14:13","indexId":"sir20065323","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","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":"2006-5323","title":"Hydrology and Flood Profiles of Duck Creek and Jordan Creek Downstream from Egan Drive, Juneau, Alaska","docAbstract":"Hydrologic and hydraulic updates for Duck Creek and the lower part of Jordan Creek in Juneau, Alaska, included computation of new estimates of peak streamflow magnitudes and new water-surface profiles for the 10-, 50-, 100-, and 500-year floods. Computations for the 2-, 5-, 10-, 25-, 50-, 100-, 200-, and 500-year recurrence interval flood magnitudes for both streams used data from U.S. Geological Survey stream-gaging stations weighted with regional regression equations for southeast Alaska. The study area for the hydraulic model consisted of three channels: Duck Creek from Taku Boulevard near the stream's headwaters to Radcliffe Road near the end of the Juneau International Airport runway, an unnamed tributary to Duck Creek from Valley Boulevard to its confluence with Duck Creek, and Jordan Creek from a pedestrian bridge upstream from Egan Drive to Crest Street at Juneau International Airport. Field surveys throughout the study area provided channel geometry for 206 cross sections, and geometric and hydraulic characteristics for 29 culverts and 15 roadway, driveway, or pedestrian bridges. Hydraulic modeling consisted of application of the U.S. Army Corps of Engineers' Hydrologic Engineering Center River Analysis System (HEC-RAS) for steady-state flow at the selected recurrence intervals using an assumed high tide of 20 feet and roughness coefficients refined by calibration to measured water-surface elevations from a 2- to 5-year flood that occurred on November 21, 2005. Model simulation results identify inter-basin flow from Jordan Creek to the southeast at Egan Drive and from Duck Creek to Jordan Creek downstream from Egan Drive at selected recurrence intervals.","language":"English","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20065323","collaboration":"Prepared in cooperation with the City and Borough of Juneau","usgsCitation":"Curran, J.H., 2007, Hydrology and Flood Profiles of Duck Creek and Jordan Creek Downstream from Egan Drive, Juneau, Alaska: U.S. Geological Survey Scientific Investigations Report 2006-5323, vi, 36 p., https://doi.org/10.3133/sir20065323.","productDescription":"vi, 36 p.","startPage":"0","endPage":"0","additionalOnlineFiles":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":190863,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9524,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5323/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d587","contributors":{"authors":[{"text":"Curran, Janet H. 0000-0002-3899-6275 jcurran@usgs.gov","orcid":"https://orcid.org/0000-0002-3899-6275","contributorId":690,"corporation":false,"usgs":true,"family":"Curran","given":"Janet","email":"jcurran@usgs.gov","middleInitial":"H.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":290945,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70029904,"text":"70029904 - 2007 - Assessment of exploration bias in data-driven predictive models and the estimation of undiscovered resources","interactions":[],"lastModifiedDate":"2012-03-12T17:21:08","indexId":"70029904","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of exploration bias in data-driven predictive models and the estimation of undiscovered resources","docAbstract":"The spatial distribution of discovered resources may not fully mimic the distribution of all such resources, discovered and undiscovered, because the process of discovery is biased by accessibility factors (e.g., outcrops, roads, and lakes) and by exploration criteria. In data-driven predictive models, the use of training sites (resource occurrences) biased by exploration criteria and accessibility does not necessarily translate to a biased predictive map. However, problems occur when evidence layers correlate with these same exploration factors. These biases then can produce a data-driven model that predicts known occurrences well, but poorly predicts undiscovered resources. Statistical assessment of correlation between evidence layers and map-based exploration factors is difficult because it is difficult to quantify the \"degree of exploration.\" However, if such a degree-of-exploration map can be produced, the benefits can be enormous. Not only does it become possible to assess this correlation, but it becomes possible to predict undiscovered, instead of discovered, resources. Using geothermal systems in Nevada, USA, as an example, a degree-of-exploration model is created, which then is resolved into purely explored and unexplored equivalents, each occurring within coextensive study areas. A weights-of-evidence (WofE) model is built first without regard to the degree of exploration, and then a revised WofE model is calculated for the \"explored fraction\" only. Differences in the weights between the two models provide a correlation measure between the evidence and the degree of exploration. The data used to build the geothermal evidence layers are perceived to be independent of degree of exploration. Nevertheless, the evidence layers correlate with exploration because exploration has preferred the same favorable areas identified by the evidence patterns. In this circumstance, however, the weights for the \"explored\" WofE model minimize this bias. Using these revised weights, posterior probability is extrapolated into unexplored areas to estimate undiscovered deposits. ?? International Association for Mathematical Geology 2007.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Natural Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s11053-007-9037-6","issn":"15207439","usgsCitation":"Coolbaugh, M., Raines, G.L., and Zehner, R.E., 2007, Assessment of exploration bias in data-driven predictive models and the estimation of undiscovered resources: Natural Resources Research, v. 16, no. 2, p. 199-207, https://doi.org/10.1007/s11053-007-9037-6.","startPage":"199","endPage":"207","numberOfPages":"9","costCenters":[],"links":[{"id":212780,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11053-007-9037-6"},{"id":240318,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"2","noUsgsAuthors":false,"publicationDate":"2007-05-16","publicationStatus":"PW","scienceBaseUri":"5059ee2ee4b0c8380cd49beb","contributors":{"authors":[{"text":"Coolbaugh, M.F.","contributorId":55034,"corporation":false,"usgs":true,"family":"Coolbaugh","given":"M.F.","affiliations":[],"preferred":false,"id":424841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Raines, G. L.","contributorId":90720,"corporation":false,"usgs":true,"family":"Raines","given":"G.","middleInitial":"L.","affiliations":[],"preferred":false,"id":424843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zehner, R. E.","contributorId":67933,"corporation":false,"usgs":true,"family":"Zehner","given":"R.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":424842,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035261,"text":"70035261 - 2007 - Remotely triggered earthquakes following moderate main shocks","interactions":[],"lastModifiedDate":"2020-09-11T16:18:55.199183","indexId":"70035261","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","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":"Remotely triggered earthquakes following moderate main shocks","docAbstract":"<p><span>Since 1992, remotely triggered earthquakes have been identified following large (M &gt; 7) earthquakes in California as well as in other regions. These events, which occur at much greater distances than classic aftershocks, occur predominantly in active geothermal or volcanic regions, leading to theories that the earthquakes are triggered when passing seismic waves cause disruptions in magmatic or other fluid systems. In this paper, I focus on observations of remotely triggered earthquakes following moderate main shocks in diverse tectonic settings. I summarize evidence that remotely triggered earthquakes occur commonly in mid-continent and collisional zones. This evidence is derived from analysis of both historic earthquake sequences and from instrumentally recorded M5–6 earthquakes in eastern Canada. The latter analysis suggests that, while remotely triggered earthquakes do not occur pervasively following moderate earthquakes in eastern North America, a low level of triggering often does occur at distances beyond conventional aftershock zones. The inferred triggered events occur at the distances at which SmS waves are known to significantly increase ground motions. A similar result was found for 28 recent M5.3–7.1 earthquakes in California. In California, seismicity is found to increase on average to a distance of at least 200 km following moderate main shocks. This supports the conclusion that, even at distances of ∼100 km, dynamic stress changes control the occurrence of triggered events. There are two explanations that can account for the occurrence of remotely triggered earthquakes in intraplate settings: (1) they occur at local zones of weakness, or (2) they occur in zones of local stress concentration.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2007.2425(06)","usgsCitation":"Hough, S.E., 2007, Remotely triggered earthquakes following moderate main shocks: Special Paper of the Geological Society of America, v. 425, p. 73-86, https://doi.org/10.1130/2007.2425(06).","productDescription":"14 p.","startPage":"73","endPage":"86","numberOfPages":"14","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":242902,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"425","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505aa71de4b0c8380cd85221","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":449942,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70030203,"text":"70030203 - 2007 - Young cumulate complex beneath Veniaminof caldera, Aleutian arc, dated by zircon in erupted plutonic blocks","interactions":[],"lastModifiedDate":"2023-08-07T11:19:17.056569","indexId":"70030203","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Young cumulate complex beneath Veniaminof caldera, Aleutian arc, dated by zircon in erupted plutonic blocks","docAbstract":"<div id=\"15646167\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>Mount Veniaminof volcano, Alaska Peninsula, provides an opportunity to relate Quaternary volcanic rocks to a coeval intrusive complex. Veniaminof erupted tholeiitic basalt through dacite in the past ∼260 k.y. Gabbro, diorite, and miarolitic granodiorite blocks, ejected 3700<span>&nbsp;</span><sup>14</sup>C yr B.P. in the most recent caldera-forming eruption, are fragments of a shallow intrusive complex of cumulate mush and segregated vapor-saturated residual melts. Sensitive high-resolution ion microprobe (SHRIMP) analyses define<span>&nbsp;</span><sup>238</sup>U-<sup>230</sup>Th isochron ages of 17.6 ± 2.7 ka, 5 +11/–10 ka, and 10.2 ± 4.0 ka (2σ) for zircon in two granodiorites and a diorite, respectively. Sparse zircons from two gabbros give<span>&nbsp;</span><sup>238</sup>U-<sup>230</sup>Th model ages of 36 ± 8 ka and 26 ± 7 ka. Zircons from granodiorite and diorite crystallized in the presence of late magmatic aqueous fluid. Although historic eruptions have been weakly explosive Strombolian fountaining and small lava effusions, the young ages of plutonic blocks, as well as late Holocene dacite pumice, are evidence that the intrusive complex remains active and that evolved magmas can segregate at shallow levels to fuel explosive eruptions.</p></div>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G23446A.1","issn":"00917613","usgsCitation":"Bacon, C., Sison, T., and Mazdab, F., 2007, Young cumulate complex beneath Veniaminof caldera, Aleutian arc, dated by zircon in erupted plutonic blocks: Geology, v. 35, no. 6, p. 491-494, https://doi.org/10.1130/G23446A.1.","productDescription":"4 p.","startPage":"491","endPage":"494","numberOfPages":"4","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":239189,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -168.5525656773322,\n              56.97163681725252\n            ],\n            [\n              -168.5525656773322,\n              52.912345760498624\n            ],\n            [\n              -158.46493896188815,\n              52.912345760498624\n            ],\n            [\n              -158.46493896188815,\n              56.97163681725252\n            ],\n            [\n              -168.5525656773322,\n              56.97163681725252\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"35","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bd24ee4b08c986b32f739","contributors":{"authors":[{"text":"Bacon, C. R. 0000-0002-2165-5618","orcid":"https://orcid.org/0000-0002-2165-5618","contributorId":21522,"corporation":false,"usgs":true,"family":"Bacon","given":"C. R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":426117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sison, T.W.","contributorId":60436,"corporation":false,"usgs":true,"family":"Sison","given":"T.W.","email":"","affiliations":[],"preferred":false,"id":426118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mazdab, F.K.","contributorId":11650,"corporation":false,"usgs":true,"family":"Mazdab","given":"F.K.","email":"","affiliations":[],"preferred":false,"id":426116,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70030133,"text":"70030133 - 2007 - Pressure calibrants in the hydrothermal diamond-anvil cell","interactions":[],"lastModifiedDate":"2012-03-12T17:21:06","indexId":"70030133","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2020,"text":"International Geology Review","active":true,"publicationSubtype":{"id":10}},"title":"Pressure calibrants in the hydrothermal diamond-anvil cell","docAbstract":"Based on the equation of state of water (EOSW), experimental pressure in the hydrothermal diamond-anvil cell (HDAC) using pure water or dilute aqueous solutions as a pressure medium can be accurately determined at each measured temperature. Consequently, meaningful interpretations can be obtained for observations in the HDAC, which has been widely accepted as a versatile, modern apparatus for hydrothermal experiments. However, this is not true when other pressure media were used because there is no reliable way to determine experimental pressure other than the use of in situ pressure sensors. Most of the available pressure sensors are difficult to apply because they either require expensive facilities to perform the measurements or are unable to provide the accuracy needed for the interpretation of hydrothermal experiments. The only exception is to use the interferometric method to detect the ??-?? quartz transition, although such applications are limited to temperatures above 573??C. In this study, three pressure calibrants were calibrated for applications at lower temperatures, and they were based on visual observation of the ferroelastic phase transitions in BaTiO3 (tetragonal/cubic), Pb3(PO4)2 (monoclinic/trigonal), and PbTiO3 (tetragonal/cubic). For the phase transitions in BaTiO3 and Pb3(PO4)2, the temperature at which twinning disappears during heating was taken as the transition temperature (Ttr); the phase transition pressures (Ptr) can be calculated, respectively, from Ptr (MPa; ??3%) = 0.17 - 21.25 [(Ttr) - 115.3], and Ptr (MPa; ??2%) = 1.00 - 10.62 [(Ttr) - 180.2], where Ttr is in ??C. For the phase transition in PbTiO3, the temperature at which the movement of phase front begins (or ends) on heating (or cooling) was taken as the transition temperature (Ttr,h or Ttr,c), and the phase transition pressures on heating (Ptr,h) and cooling (Ptr,c) can be calculated from Ptr,h (MPa; ??4%) = 7021.7 - 14.235 (Ttr,h), and Ptr,c (MPa; ??4%) = 6831.3 - 14.001 (Ttr,c). Phase transitions for these three pressure calibrants are easy to detect visually, and their P-T phase boundaries have negative slopes and intersect isochors of most of the geologic fluids at high angles and, therefore, are easy to apply. Copyright ?? 2007 by V. H. Winston & Son, Inc. All rights reserved.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Geology Review","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2747/0020-6814.49.4.289","issn":"00206814","usgsCitation":"Chou, I., 2007, Pressure calibrants in the hydrothermal diamond-anvil cell: International Geology Review, v. 49, no. 4, p. 289-300, https://doi.org/10.2747/0020-6814.49.4.289.","startPage":"289","endPage":"300","numberOfPages":"12","costCenters":[],"links":[{"id":212702,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2747/0020-6814.49.4.289"},{"id":240228,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-08-06","publicationStatus":"PW","scienceBaseUri":"505a8b59e4b0c8380cd7e210","contributors":{"authors":[{"text":"Chou, I.-M. 0000-0001-5233-6479","orcid":"https://orcid.org/0000-0001-5233-6479","contributorId":44283,"corporation":false,"usgs":true,"family":"Chou","given":"I.-M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":425842,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70030186,"text":"70030186 - 2007 - Potential effects of regional pumpage on groundwater age distribution","interactions":[],"lastModifiedDate":"2018-10-11T19:04:32","indexId":"70030186","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Potential effects of regional pumpage on groundwater age distribution","docAbstract":"<p><span>Groundwater ages estimated from environmental tracers can help calibrate groundwater flow models. Groundwater age represents a mixture of traveltimes, with the distribution of ages determined by the detailed structure of the flow field, which can be prone to significant transient variability. Effects of pumping on age distribution were assessed using direct age simulation in a hypothetical layered aquifer system. A steady state predevelopment age distribution was computed first. A well field was then introduced, and pumpage caused leakage into the confined aquifer of older water from an overlying confining unit. Large changes in simulated groundwater ages occurred in both the aquifer and the confining unit at high pumping rates, and the effects propagated a substantial distance downgradient from the wells. The range and variance of ages contributing to the well increased substantially during pumping. The results suggest that the groundwater age distribution in developed aquifers may be affected by transient leakage from low‐permeability material, such as confining units, under certain hydrogeologic conditions.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2006WR004865","usgsCitation":"Zinn, B.A., and Konikow, L.F., 2007, Potential effects of regional pumpage on groundwater age distribution: Water Resources Research, v. 43, no. 6, W06418; 17 p., https://doi.org/10.1029/2006WR004865.","productDescription":"W06418; 17 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":477032,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2006wr004865","text":"Publisher Index Page"},{"id":239431,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"6","noUsgsAuthors":false,"publicationDate":"2007-06-21","publicationStatus":"PW","scienceBaseUri":"505a7edde4b0c8380cd7a7c9","contributors":{"authors":[{"text":"Zinn, Brendan A.","contributorId":102953,"corporation":false,"usgs":true,"family":"Zinn","given":"Brendan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":426060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Konikow, Leonard F. 0000-0002-0940-3856 lkonikow@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-3856","contributorId":158,"corporation":false,"usgs":true,"family":"Konikow","given":"Leonard","email":"lkonikow@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":426059,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70030134,"text":"70030134 - 2007 - Groundwater flow with energy transport and water-ice phase change: Numerical simulations, benchmarks, and application to freezing in peat bogs","interactions":[],"lastModifiedDate":"2018-10-17T09:03:27","indexId":"70030134","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater flow with energy transport and water-ice phase change: Numerical simulations, benchmarks, and application to freezing in peat bogs","docAbstract":"<p>In northern peatlands, subsurface ice formation is an important process that can control heat transport, groundwater flow, and biological activity. Temperature was measured over one and a half years in a vertical profile in the Red Lake Bog, Minnesota. To successfully simulate the transport of heat within the peat profile, the U.S. Geological Survey's SUTRA computer code was modified. The modified code simulates fully saturated, coupled porewater-energy transport, with freezing and melting porewater, and includes proportional heat capacity and thermal conductivity of water and ice, decreasing matrix permeability due to ice formation, and latent heat. The model is verified by correctly simulating the Lunardini analytical solution for ice formation in a porous medium with a mixed ice-water zone. The modified SUTRA model correctly simulates the temperature and ice distributions in the peat bog. Two possible benchmark problems for groundwater and energy transport with ice formation and melting are proposed that may be used by other researchers for code comparison.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Advances in Water Resources","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.advwatres.2006.08.008","issn":"03091708","usgsCitation":"McKenzie, J., Voss, C.I., and Siegel, D.I., 2007, Groundwater flow with energy transport and water-ice phase change: Numerical simulations, benchmarks, and application to freezing in peat bogs: Advances in Water Resources, v. 30, no. 4, p. 966-983, https://doi.org/10.1016/j.advwatres.2006.08.008.","productDescription":"18 p.","startPage":"966","endPage":"983","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":240262,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":212730,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.advwatres.2006.08.008"}],"country":"United States","state":"Minnesota","otherGeospatial":"Red Lake Bog","volume":"30","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2da2e4b0c8380cd5bf70","contributors":{"authors":[{"text":"McKenzie, J.M.","contributorId":75759,"corporation":false,"usgs":true,"family":"McKenzie","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":425843,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":425845,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Siegel, D. I.","contributorId":77562,"corporation":false,"usgs":true,"family":"Siegel","given":"D.","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":425844,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70030159,"text":"70030159 - 2007 - Characterization of microsatellite DNA markers for the alligator snapping turtle, Macrochelys temminckii: Primer note","interactions":[],"lastModifiedDate":"2012-03-12T17:21:38","indexId":"70030159","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2775,"text":"Molecular Ecology Notes","onlineIssn":"1471-8286","printIssn":"1471-8278","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of microsatellite DNA markers for the alligator snapping turtle, Macrochelys temminckii: Primer note","docAbstract":"Two trinucleotide and seven tetranucleotide microsatellite loci were isolated from an alligator snapping turtle Macrochelys temminckii. To assess the degree of variability in these nine microsatellite loci, we genotyped 174 individuals collected from eight river drainage basins in the southeastern USA. These markers revealed a moderate degree of allelic diversity (six to 16 alleles per locus) and observed heterozygosity (0.166-0.686). These polymorphic microsatellite loci provide powerful tools for population genetic studies for a species that is afforded some level of conservation protection in every state in which it occurs. ?? 2006 The Authors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Molecular Ecology Notes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1471-8286.2006.01624.x","issn":"14718278","usgsCitation":"Hackler, J., Van Den Bussche, R.A., and Leslie, D., 2007, Characterization of microsatellite DNA markers for the alligator snapping turtle, Macrochelys temminckii: Primer note: Molecular Ecology Notes, v. 7, no. 3, p. 474-476, https://doi.org/10.1111/j.1471-8286.2006.01624.x.","startPage":"474","endPage":"476","numberOfPages":"3","costCenters":[],"links":[{"id":213080,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1471-8286.2006.01624.x"},{"id":240667,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"3","noUsgsAuthors":false,"publicationDate":"2006-11-29","publicationStatus":"PW","scienceBaseUri":"5059f4d0e4b0c8380cd4bf38","contributors":{"authors":[{"text":"Hackler, J.C.","contributorId":105835,"corporation":false,"usgs":true,"family":"Hackler","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":425949,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Den Bussche, Ronald A.","contributorId":41121,"corporation":false,"usgs":true,"family":"Van Den Bussche","given":"Ronald","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":425947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leslie, David M. Jr.","contributorId":52514,"corporation":false,"usgs":true,"family":"Leslie","given":"David M.","suffix":"Jr.","affiliations":[],"preferred":false,"id":425948,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70030174,"text":"70030174 - 2007 - Probabilistic prediction models for aggregate quarry siting","interactions":[],"lastModifiedDate":"2012-03-12T17:21:01","indexId":"70030174","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Probabilistic prediction models for aggregate quarry siting","docAbstract":"Weights-of-evidence (WofE) and logistic regression techniques were used in a GIS framework to predict the spatial likelihood (prospectivity) of crushed-stone aggregate quarry development. The joint conditional probability models, based on geology, transportation network, and population density variables, were defined using quarry location and time of development data for the New England States, North Carolina, and South Carolina, USA. The Quarry Operation models describe the distribution of active aggregate quarries, independent of the date of opening. The New Quarry models describe the distribution of aggregate quarries when they open. Because of the small number of new quarries developed in the study areas during the last decade, independent New Quarry models have low parameter estimate reliability. The performance of parameter estimates derived for Quarry Operation models, defined by a larger number of active quarries in the study areas, were tested and evaluated to predict the spatial likelihood of new quarry development. Population density conditions at the time of new quarry development were used to modify the population density variable in the Quarry Operation models to apply to new quarry development sites. The Quarry Operation parameters derived for the New England study area, Carolina study area, and the combined New England and Carolina study areas were all similar in magnitude and relative strength. The Quarry Operation model parameters, using the modified population density variables, were found to be a good predictor of new quarry locations. Both the aggregate industry and the land management community can use the model approach to target areas for more detailed site evaluation for quarry location. The models can be revised easily to reflect actual or anticipated changes in transportation and population features. ?? International Association for Mathematical Geology 2007.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Natural Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s11053-007-9039-4","issn":"15207439","usgsCitation":"Robinson, G., and Larkins, P., 2007, Probabilistic prediction models for aggregate quarry siting: Natural Resources Research, v. 16, no. 2, p. 135-146, https://doi.org/10.1007/s11053-007-9039-4.","startPage":"135","endPage":"146","numberOfPages":"12","costCenters":[],"links":[{"id":211883,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11053-007-9039-4"},{"id":239256,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"2","noUsgsAuthors":false,"publicationDate":"2007-06-01","publicationStatus":"PW","scienceBaseUri":"505a8c97e4b0c8380cd7e793","contributors":{"authors":[{"text":"Robinson, G.R. Jr. 0000-0002-9676-9564","orcid":"https://orcid.org/0000-0002-9676-9564","contributorId":6444,"corporation":false,"usgs":true,"family":"Robinson","given":"G.R.","suffix":"Jr.","affiliations":[],"preferred":false,"id":426000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larkins, P.M.","contributorId":82527,"corporation":false,"usgs":true,"family":"Larkins","given":"P.M.","email":"","affiliations":[],"preferred":false,"id":426001,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70030175,"text":"70030175 - 2007 - The collapse of pelagic fishes in the upper San Francisco estuary","interactions":[],"lastModifiedDate":"2021-03-30T14:40:57.645549","indexId":"70030175","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"The collapse of pelagic fishes in the upper San Francisco estuary","docAbstract":"<p><span>Although the pelagic fish community of the upper San Francisco Estuary historically has shown substantial variability, a recent collapse has captured the attention of resource managers, scientists, legislators, and the general public. The ecological and management consequences of the decline are most serious for delta smelt (Hypomesus transpacificus), a threatened species whose narrow range overlaps with large water diversions that supply water to over 25 million people. The decline occurred despite recent moderate hydrology, which typically results in at least modest recruitment, and investments of hundreds of millions of dollars in habitat restoration and environmental water allocations to support native fishes. In response to the pelagic fish collapse, an ambitious multi-hyphen;agency research team has been working since 2005 to evaluate the causes of the decline, which likely include a combination of factors: stock-recruitment effects, a decline in habitat quality, increased mortality rates, and reduced food availability due to invasive species.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1577/1548-8446(2007)32[270:TCOPFI]2.0.CO;2","usgsCitation":"Sommer, T., Armor, C., Baxter, R., Breuer, R., Brown, L., Chotkowski, M., Culberson, S., Feyrer, F., Gingras, M., Herbold, B., Kimmerer, W., Mueller-Solger, A., Nobriga, M., and Souza, K., 2007, The collapse of pelagic fishes in the upper San Francisco estuary: Fisheries, v. 32, no. 6, p. 270-277, https://doi.org/10.1577/1548-8446(2007)32[270:TCOPFI]2.0.CO;2.","productDescription":"8 p.","startPage":"270","endPage":"277","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":239257,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Upper San Francisco Estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.39044189453124,\n              37.78916666399649\n            ],\n            [\n              -122.28607177734376,\n              37.832564787218985\n            ],\n            [\n              -122.31903076171875,\n              37.91278405007035\n            ],\n            [\n              -122.38082885742189,\n              37.95827503526034\n            ],\n            [\n              -122.23114013671875,\n              38.06106741381201\n            ],\n  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]\n}","volume":"32","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505baa3ce4b08c986b32277f","contributors":{"authors":[{"text":"Sommer, T.","contributorId":106703,"corporation":false,"usgs":true,"family":"Sommer","given":"T.","email":"","affiliations":[],"preferred":false,"id":426015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Armor, C.","contributorId":76942,"corporation":false,"usgs":true,"family":"Armor","given":"C.","email":"","affiliations":[],"preferred":false,"id":426011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baxter, R.","contributorId":48758,"corporation":false,"usgs":true,"family":"Baxter","given":"R.","email":"","affiliations":[],"preferred":false,"id":426006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Breuer, R.","contributorId":16219,"corporation":false,"usgs":true,"family":"Breuer","given":"R.","email":"","affiliations":[],"preferred":false,"id":426003,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, L. 0000-0001-6702-4531","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":56995,"corporation":false,"usgs":true,"family":"Brown","given":"L.","affiliations":[],"preferred":false,"id":426007,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chotkowski, M.","contributorId":78543,"corporation":false,"usgs":true,"family":"Chotkowski","given":"M.","affiliations":[],"preferred":false,"id":426012,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Culberson, S.","contributorId":96480,"corporation":false,"usgs":true,"family":"Culberson","given":"S.","affiliations":[],"preferred":false,"id":426014,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Feyrer, F. 0000-0003-1253-2349","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":6254,"corporation":false,"usgs":true,"family":"Feyrer","given":"F.","affiliations":[],"preferred":false,"id":426002,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gingras, M.","contributorId":58093,"corporation":false,"usgs":true,"family":"Gingras","given":"M.","affiliations":[],"preferred":false,"id":426008,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Herbold, B.","contributorId":66062,"corporation":false,"usgs":true,"family":"Herbold","given":"B.","affiliations":[],"preferred":false,"id":426009,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kimmerer, W.","contributorId":38325,"corporation":false,"usgs":false,"family":"Kimmerer","given":"W.","email":"","affiliations":[],"preferred":false,"id":426005,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mueller-Solger, A.","contributorId":16220,"corporation":false,"usgs":true,"family":"Mueller-Solger","given":"A.","affiliations":[],"preferred":false,"id":426004,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nobriga, M.","contributorId":67284,"corporation":false,"usgs":true,"family":"Nobriga","given":"M.","affiliations":[],"preferred":false,"id":426010,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Souza, K.","contributorId":84157,"corporation":false,"usgs":true,"family":"Souza","given":"K.","email":"","affiliations":[],"preferred":false,"id":426013,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70030178,"text":"70030178 - 2007 - Quantitative mineralogy of surface sediments of the Iceland shelf, and application to down-core studies of holocene ice-rafted sediments","interactions":[],"lastModifiedDate":"2012-03-12T17:21:01","indexId":"70030178","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2451,"text":"Journal of Sedimentary Research","onlineIssn":"1938-3681","printIssn":"1527-1404","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative mineralogy of surface sediments of the Iceland shelf, and application to down-core studies of holocene ice-rafted sediments","docAbstract":"Quantitative X-ray diffraction analyses on the < 2 mm sediment fraction from the Iceland shelves are reported for subglacial diamictons, seafloor surface sediments, and the last 2000 cal yr BP from two cores. The overall goal of the paper is to characterize the spatial variability of the mineralogy of the present-day surface sediments (18 non-clay minerals and 7 clay minerals), compare that with largely in situ erosional products typified by the composition of subglacial diamictons, and finally examine the late Holocene temporal variability in mineral composition using multi-mineral compositions. The subglacial diamictons are dominated in the non-clay-mineral fraction by the plagioclase feldspars and pyroxene with 36.7 ?? 6.1 and 17.9 ?? 3.5 wt % respectively, with smectites being the dominant clay minerals. The surface seafloor sediments have similar compositions although there are substantial amounts of calcite, plus there is a distinct band of sites from NW to N-central Iceland that contain 1-6 wt% of quartz. This latter distribution mimics the modern and historic pattern of drift ice in Iceland waters. Principal component analysis of the transformed wt% (log-ratio) non-clay minerals is used to compare the subglacial, surface, and down-core mineral compositions. Fifty-eight percent of the variance is explained by the first two axes, with dolomite, microcline, and quartz being important \"foreign\" species. These analyses indicate that today the NW-N-central Iceland shelf is affected by the import of exotic minerals, which are transported and released from drift ice. The down-core mineralogy indicates that this is a process that has varied over the last 2000 cal yr BP. Copyright ?? 2007, SEPM (Society for Sedimentary Geology).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Sedimentary Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2110/jsr.2007.045","issn":"15271404","usgsCitation":"Andrews, J.T., and Eberl, D.D., 2007, Quantitative mineralogy of surface sediments of the Iceland shelf, and application to down-core studies of holocene ice-rafted sediments: Journal of Sedimentary Research, v. 77, no. 5-6, p. 469-479, https://doi.org/10.2110/jsr.2007.045.","startPage":"469","endPage":"479","numberOfPages":"11","costCenters":[],"links":[{"id":211940,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2110/jsr.2007.045"},{"id":239326,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"5-6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a9225e4b0c8380cd806ae","contributors":{"authors":[{"text":"Andrews, John T.","contributorId":79678,"corporation":false,"usgs":true,"family":"Andrews","given":"John","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":426031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eberl, D. D.","contributorId":66282,"corporation":false,"usgs":true,"family":"Eberl","given":"D.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":426030,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70029899,"text":"70029899 - 2007 - A post-Calumet shoreline along southern Lake Michigan","interactions":[],"lastModifiedDate":"2012-03-12T17:21:09","indexId":"70029899","displayToPublicDate":"2007-01-01T00:00:00","publicationYear":"2007","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2411,"text":"Journal of Paleolimnology","active":true,"publicationSubtype":{"id":10}},"title":"A post-Calumet shoreline along southern Lake Michigan","docAbstract":"The southern shore of Lake Michigan is the type area for many of ancestral Lake Michigan's late Pleistocene lake phases, but coastal deposits and features of the Algonquin phase of northern Lake Michigan, Lake Huron, and Lake Superior are not recognized in the area. Isostatic rebound models suggest that Algonquin phase deposits should be 100 m or more below modern lake level. A relict shoreline, however, exists along the lakeward margin of the Calumet Beach that was erosional west of Deep River and depositional east of the river. For this post-Calumet shoreline, the elevation of basal foreshore deposits east of Deep River and the base of the scarp west of Deep River indicate a slightly westward dipping water plane that is centered at ???184 m above mean sea level. Basal foreshore elevations also indicate that lake level fell ???2 m during the development of the shoreline. The pooled mean of radiocarbon dates from the surface of the peat below post-Calumet shoreline foreshore deposits indicate that the lake transgressed over the peat at 10,560 ?? 70 years B.P. Pollen assemblages from the peat are consistent with this age. The elevation and age of the post-Calumet shoreline are similar to the Main Algonquin phase of Lake Huron. Recent isostatic rebound models do not adequately address a high-elevation Algonquin-age shoreline along the southern shore of Lake Michigan, but the Goldthwait (1908) hinge-line model does. ?? 2006 Springer Science+Business Media B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Paleolimnology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10933-006-9046-1","issn":"09212728","usgsCitation":"Capps, D., Thompson, T., and Booth, R., 2007, A post-Calumet shoreline along southern Lake Michigan: Journal of Paleolimnology, v. 37, no. 3, p. 395-409, https://doi.org/10.1007/s10933-006-9046-1.","startPage":"395","endPage":"409","numberOfPages":"15","costCenters":[],"links":[{"id":212720,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10933-006-9046-1"},{"id":240248,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"3","noUsgsAuthors":false,"publicationDate":"2006-12-13","publicationStatus":"PW","scienceBaseUri":"5059e4e5e4b0c8380cd469e0","contributors":{"authors":[{"text":"Capps, D.K.","contributorId":62833,"corporation":false,"usgs":true,"family":"Capps","given":"D.K.","email":"","affiliations":[],"preferred":false,"id":424821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, T.A.","contributorId":73226,"corporation":false,"usgs":true,"family":"Thompson","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":424822,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Booth, R.K.","contributorId":47122,"corporation":false,"usgs":true,"family":"Booth","given":"R.K.","email":"","affiliations":[],"preferred":false,"id":424820,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}