{"pageNumber":"798","pageRowStart":"19925","pageSize":"25","recordCount":46706,"records":[{"id":70000037,"text":"70000037 - 2008 - Assessing streamflow characteristics as limiting factors on benthic invertebrate assemblages in streams across the western United States","interactions":[],"lastModifiedDate":"2018-09-20T21:45:49","indexId":"70000037","displayToPublicDate":"2010-09-28T23:09:24","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Assessing streamflow characteristics as limiting factors on benthic invertebrate assemblages in streams across the western United States","docAbstract":"<p>1. Human use of land and water resources modifies many streamflow characteristics, which can have significant ecological consequences. Streamflow and invertebrate data collected at 111 sites in the western U.S.A. were analysed to identify streamflow characteristics (magnitude, frequency, duration, timing and variation) that are probably to limit characteristics of benthic invertebrate assemblages (abundance, richness, diversity and evenness, functional feeding groups and individual taxa) and, thus, would be important for freshwater conservation and restoration. Our analysis investigated multiple metrics for each biological and hydrological characteristic, but focuses on 14 invertebrate metrics and 13 streamflow metrics representing the key associations between streamflow and invertebrates.</p>\n<p>2. Streamflow is only one of many environmental and biotic factors that influence the characteristics of invertebrate assemblages. Although the central tendency of invertebrate assemblage characteristics may not respond to any one factor across a large region like the western U.S.A., we postulate that streamflow may limit some invertebrates. To assess streamflow characteristics as limiting factors on invertebrate assemblages, we developed a nonparametric screening procedure to identify upper (ceilings) or lower (floors) limits on invertebrate metrics associated with streamflow metrics. Ceilings and floors for selected metrics were then quantified using quantile regression.</p>\n<p>3. Invertebrate assemblages had limits associated with all streamflow characteristics that we analysed. Metrics of streamflow variation at daily to inter-annual scales were among the most common characteristics associated with limits on invertebrate assemblages. Baseflow recession, daily variation and monthly variation, in streamflow were associated with the largest number of invertebrate metrics. Since changes in streamflow variation are often a consequence of hydrologic alteration, they may serve as useful indicators of ecologically significant changes in streamflow and as benchmarks for managing streamflow for ecological objectives.</p>\n<p>4. Relative abundance of Plecoptera, richness of non-insect taxa and relative abundance of intolerant taxa were associated with multiple streamflow metrics. Metrics of sensitive taxa (Ephemeroptera, Plecoptera and Trichoptera), and intolerant taxa generally had ceilings associated with flow metrics while metrics of tolerant taxa, non-insects, dominance and chironomids generally had floors. Broader characteristics of invertebrate assemblages such as abundance and richness had fewer limits, but these limits were nonetheless associated with a broad range of streamflow characteristics.</p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2427.2008.02024.x","issn":"00465070","usgsCitation":"Konrad, C., Brasher, A., and May, J., 2008, Assessing streamflow characteristics as limiting factors on benthic invertebrate assemblages in streams across the western United States: Freshwater Biology, v. 53, no. 10, p. 1983-1998, https://doi.org/10.1111/j.1365-2427.2008.02024.x.","productDescription":"6 p.","startPage":"1983","endPage":"1998","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":203764,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18641,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2427.2008.02024.x"}],"volume":"53","issue":"10","noUsgsAuthors":false,"publicationDate":"2008-09-02","publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672a65","contributors":{"authors":[{"text":"Konrad, C.P.","contributorId":39027,"corporation":false,"usgs":true,"family":"Konrad","given":"C.P.","email":"","affiliations":[],"preferred":false,"id":344745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brasher, A.M.D.","contributorId":8213,"corporation":false,"usgs":true,"family":"Brasher","given":"A.M.D.","email":"","affiliations":[],"preferred":false,"id":344744,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"May, J. T. 0000-0002-5699-2112","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":72505,"corporation":false,"usgs":true,"family":"May","given":"J. T.","affiliations":[],"preferred":false,"id":344746,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70000406,"text":"70000406 - 2008 - Minnesota anglers' fisheries-related value orientations and their stewardship of fish resources","interactions":[],"lastModifiedDate":"2012-03-08T17:16:37","indexId":"70000406","displayToPublicDate":"2010-09-28T23:09:23","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Minnesota anglers' fisheries-related value orientations and their stewardship of fish resources","docAbstract":"Research on natural resource-related values and value orientations has grown substantially over the past decade. However, existing studies have focused almost exclusively on value orientations related to wildlife and forests. This article reports data from two mail surveys of Minnesota anglers used to develop scales for measuring fisheries-related value orientations. We report results of regression analyses examining the relationship between anglers' value orientations and norms concerning fisheries stewardship and the use of technological aids to angling. Results indicate 10 items reliably measure three value orientations we termed utilitarianism, dominance, and protectionism. Regression analyses suggest anglers' stewardship norms are influenced by all three value orientation types, while support for the use of technological aids was related with protectionism and utilitarianism, but not dominance. Results suggest anglers' fisheries-related value orientations cannot be adequately captured using single domain scales. Implications for the study of natural resources-related value orientations are discussed. Copyright ?? Taylor & Francis Group, LLC.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Human Dimensions of Wildlife","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1080/10871200802023227","issn":"10871209","usgsCitation":"Bruskotter, J., and Fulton, D., 2008, Minnesota anglers' fisheries-related value orientations and their stewardship of fish resources: Human Dimensions of Wildlife, v. 13, no. 4, p. 207-221, https://doi.org/10.1080/10871200802023227.","startPage":"207","endPage":"221","costCenters":[],"links":[{"id":203613,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18837,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/10871200802023227"}],"volume":"13","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699c95","contributors":{"authors":[{"text":"Bruskotter, J.T.","contributorId":27598,"corporation":false,"usgs":true,"family":"Bruskotter","given":"J.T.","affiliations":[],"preferred":false,"id":345663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fulton, D.C.","contributorId":50104,"corporation":false,"usgs":true,"family":"Fulton","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":345664,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70000411,"text":"70000411 - 2008 - Genetic identity of brook trout in Lake Superior south shore streams: Potential for genetic monitoring of stocking and rehabilitation efforts","interactions":[],"lastModifiedDate":"2012-03-08T17:16:38","indexId":"70000411","displayToPublicDate":"2010-09-28T23:09:23","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Genetic identity of brook trout in Lake Superior south shore streams: Potential for genetic monitoring of stocking and rehabilitation efforts","docAbstract":"Rehabilitation of migratory ('coaster') brook trout Salvelinus fontinalis along Lake Superior's south shore is a topic of high interest among resource stakeholders and management agencies. Proposed strategies for rehabilitation of this brook trout life history variant in Wisconsin include supplemental stocking, watershed management, habitat rehabilitation, harvest regulations, or a combination thereof. In an effort to evaluate the success of coaster brook trout rehabilitation efforts, we collected genetic data from four populations of interest (Whittlesey Creek, Bois Brule River, Bark River, and Graveyard Creek) and the hatchery sources used in the Whittlesey Creek supplementation experiment. We characterized the genetic diversity of 30 individuals from each of four populations using 13 microsatellite DNA loci. Levels of genetic variation were consistent with those in similar studies conducted throughout the basin. Significant genetic variation among the populations was observed, enabling adequate population delineation through assignment tests. Overall, 208 of the 211 sampled fish (98.6%) were correctly assigned to their population of origin. Simulated F1 hybrids between two hatchery strains and the Whittlesey Creek population were identifiable in the majority of attempts (90.5-100% accuracy with 0-2.5% error). The genetic markers and analytical techniques described provide the ability to monitor the concurrent coaster brook trout rehabilitation efforts along Wisconsin's Lake Superior south shore, including the detection of hybridization between hatchery and native populations. ?? Copyright by the American Fisheries Society 2008.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1577/T05-206.1","issn":"00028487","usgsCitation":"Sloss, B., Jennings, M.J., Franckowiak, R., and Pratt, D., 2008, Genetic identity of brook trout in Lake Superior south shore streams: Potential for genetic monitoring of stocking and rehabilitation efforts: Transactions of the American Fisheries Society, v. 137, no. 4, p. 1244-1251, https://doi.org/10.1577/T05-206.1.","startPage":"1244","endPage":"1251","costCenters":[],"links":[{"id":203775,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18841,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1577/T05-206.1"}],"volume":"137","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-01-09","publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6aeb3d","contributors":{"authors":[{"text":"Sloss, Brian L.","contributorId":9754,"corporation":false,"usgs":true,"family":"Sloss","given":"Brian L.","affiliations":[],"preferred":false,"id":345677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jennings, Martin J.","contributorId":6570,"corporation":false,"usgs":true,"family":"Jennings","given":"Martin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":345676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Franckowiak, R.","contributorId":55136,"corporation":false,"usgs":true,"family":"Franckowiak","given":"R.","affiliations":[],"preferred":false,"id":345678,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pratt, D.M.","contributorId":82042,"corporation":false,"usgs":true,"family":"Pratt","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":345679,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70000419,"text":"70000419 - 2008 - Annual variation in habitat-specific recruitment success: Implications from an individual-based model of Lake Michigan alewife (Alosa pseudoharengus)","interactions":[],"lastModifiedDate":"2012-03-08T17:16:37","indexId":"70000419","displayToPublicDate":"2010-09-28T23:09:23","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Annual variation in habitat-specific recruitment success: Implications from an individual-based model of Lake Michigan alewife (Alosa pseudoharengus)","docAbstract":"The identification of important spawning and nursery habitats for fish stocks can aid fisheries management, but is complicated by various factors, including annual variation in recruitment success. The alewife (Alosa pseudoharengus) is an ecologically important species in Lake Michigan that utilizes a variety of habitats for spawning and early life growth. While productive, warm tributary mouths (connected to Lake Michigan) may contribute disproportionately more recruits (relative to their habitat volume) to the adult alewife population than cooler, less productive nearshore habitats, the extent of interannual variation in the relative contributions of recruits from these two habitat types remains unknown. We used an individual-based bioenergetics simulation model and input data on daily temperatures to estimate alewife recruitment to the adult population by these different habitat types. Simulations suggest that nearshore lake habitats typically produce the vast majority of young alewife recruits. However, tributary habitats may contribute the majority of alewife recruits during years of low recruitment. We suggest that high interannual variation in the relative importance of habitats for recruitment is a common phenomenon, which should be considered when developing habitat management plans for fish populations. ?? 2008 NRC.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Fisheries and Aquatic Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1139/F08-066","issn":"0706652X","usgsCitation":"Hook, T., Rutherford, E., Croley, T., Mason, D., and Madenjian, C., 2008, Annual variation in habitat-specific recruitment success: Implications from an individual-based model of Lake Michigan alewife (Alosa pseudoharengus): Canadian Journal of Fisheries and Aquatic Sciences, v. 65, no. 7, p. 1402-1412, https://doi.org/10.1139/F08-066.","startPage":"1402","endPage":"1412","costCenters":[],"links":[{"id":203583,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18847,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/F08-066"}],"volume":"65","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67b7c7","contributors":{"authors":[{"text":"Hook, T.O.","contributorId":84485,"corporation":false,"usgs":true,"family":"Hook","given":"T.O.","email":"","affiliations":[],"preferred":false,"id":345697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rutherford, E.S.","contributorId":74860,"corporation":false,"usgs":true,"family":"Rutherford","given":"E.S.","email":"","affiliations":[],"preferred":false,"id":345696,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Croley, T.E. II","contributorId":58381,"corporation":false,"usgs":true,"family":"Croley","given":"T.E.","suffix":"II","affiliations":[],"preferred":false,"id":345694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mason, D.M.","contributorId":48292,"corporation":false,"usgs":true,"family":"Mason","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":345693,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Madenjian, C.P.","contributorId":64175,"corporation":false,"usgs":true,"family":"Madenjian","given":"C.P.","affiliations":[],"preferred":false,"id":345695,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70000437,"text":"70000437 - 2008 - What was the groundwater quality before mining in a mineralized region? Lessons from the Questa Project","interactions":[],"lastModifiedDate":"2018-10-17T09:12:33","indexId":"70000437","displayToPublicDate":"2010-09-28T23:09:23","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1817,"text":"Geosciences Journal","active":true,"publicationSubtype":{"id":10}},"title":"What was the groundwater quality before mining in a mineralized region? Lessons from the Questa Project","docAbstract":"The U.S. Geological Survey, in cooperation with the New Mexico Environment Department and supported by Molycorp, Inc (currently Chevron Minerals), has completed a 5-year investigation (2001-2006) to determine the pre-mining ground-water quality at Molycorp's Questa molybdenum mine in northern New Mexico. Current mine-site ground waters are often contaminated with mine-waste leachates and no data exists on premining ground-water quality so that pre-mining conditions must be inferred. Ground-water quality undisturbed by mining is often worse than New Mexico standards and data are needed to help establish closure requirements. The key to determining pre-mining conditions was to study the hydrogeochemistry of a proximal natural analog site, the Straight Creek catchment. Main rock types exposed to weathering include a Tertiary andesite and the Tertiary Amalia tuff (rhyolitic composition), both hydrothermally altered to various degrees. Two types of ground water are common in mineralized areas, acidic ground waters in alluvial debris fans with pH 3-4 and bedrock ground waters with pH 6-8. Siderite, ferrihydrite, rhodochrosite, amorphous to microcrystalline Al(OH)3, calcite, gypsum, barite, and amorphous silica mineral solubilities control concentrations of Fe(II), Fe(III), Mn(II), Al, Ca, Ba, and SiO2, depending on pH and solution composition. Concentrations at low pH are governed by element abundance and mineral weathering rates. Concentrations of Zn and Cd range from detection up to about 10 and 0.05 mg/L, respectively, and are derived primarily from sphalerite dissolution. Concentrations of Ni and Co range from detection up to 1 and 0.4 mg/L, respectively, and are derived primarily from pyrite dissolution. Concentrations of Ca and SO4 are derived from secondary gypsum dissolution and weathering of calcite and pyrite. Metal:sulfate concentration ratios are relatively constant for acidic waters, suggesting consistent weathering rates, independent of catchment. These trends, combined with lithology, mineralogy, and mineral solubility controls, provide useful constraints on pre-mining ground-water quality for the mine site where the lithology is known.","language":"English","publisher":"Springer","doi":"10.1007/s12303-008-0015-8","issn":"12264806","usgsCitation":"Nordstrom, D.K., 2008, What was the groundwater quality before mining in a mineralized region? Lessons from the Questa Project: Geosciences Journal, v. 12, no. 2, p. 139-149, https://doi.org/10.1007/s12303-008-0015-8.","productDescription":"11 p.","startPage":"139","endPage":"149","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":203574,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18857,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12303-008-0015-8"}],"volume":"12","issue":"2","noUsgsAuthors":false,"publicationDate":"2008-07-11","publicationStatus":"PW","scienceBaseUri":"4f4e49dfe4b07f02db5e3be4","contributors":{"authors":[{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":345733,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70000426,"text":"70000426 - 2008 - Seasonal and diel movements of white sturgeon in the lower columbia river","interactions":[],"lastModifiedDate":"2012-03-08T17:16:37","indexId":"70000426","displayToPublicDate":"2010-09-28T23:09:23","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal and diel movements of white sturgeon in the lower columbia river","docAbstract":"Continuous monitoring of the movements and depths used by white sturgeon Acipenser transmontanus with acoustic telemetry technologies in the lower Columbia River provided information on diel and seasonal migrations, local movements, and site fidelity. White sturgeon moved to shallower water at night and showed greater activity, inferred from rates of movement, than during daytime. The extent of local movement within a season was variable among fish; some fish readily moved among habitats while the movements of others were more constrained. White sturgeon were absent from the study area (river kilometers 45-52) during winter and returned from upstream during the spring, confirming an upstream seasonal migration in the fall and downstream migration in spring. The return of individual fish and reoccupation of areas previously inhabited showed that some white sturgeon exhibit site fidelity. This work shows that studies seeking to characterize habitat for white sturgeon need to be cognizant of diel migrations and site fidelity. We urge caution in the use of limited fish location data to describe habitats if diel activities and fine-scale movements are not known.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1577/T07-027.1","issn":"00028487","usgsCitation":"Parsley, M., Popoff, N., Van Der Leeuw, B.K., and Wright, C., 2008, Seasonal and diel movements of white sturgeon in the lower columbia river: Transactions of the American Fisheries Society, v. 137, no. 4, p. 1007-1017, https://doi.org/10.1577/T07-027.1.","startPage":"1007","endPage":"1017","costCenters":[],"links":[{"id":203327,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18852,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1577/T07-027.1"}],"volume":"137","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-01-09","publicationStatus":"PW","scienceBaseUri":"4f4e49ffe4b07f02db5f7c1d","contributors":{"authors":[{"text":"Parsley, M.J.","contributorId":59542,"corporation":false,"usgs":true,"family":"Parsley","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":345713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Popoff, N.D.","contributorId":47062,"corporation":false,"usgs":true,"family":"Popoff","given":"N.D.","affiliations":[],"preferred":false,"id":345711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Der Leeuw, B. K.","contributorId":59159,"corporation":false,"usgs":true,"family":"Van Der Leeuw","given":"B.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":345712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, C.D.","contributorId":104604,"corporation":false,"usgs":true,"family":"Wright","given":"C.D.","email":"","affiliations":[],"preferred":false,"id":345714,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70000398,"text":"70000398 - 2008 - Classification tree models for predicting distributions of michigan stream fish from landscape variables","interactions":[],"lastModifiedDate":"2012-03-08T17:16:37","indexId":"70000398","displayToPublicDate":"2010-09-28T23:09:23","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Classification tree models for predicting distributions of michigan stream fish from landscape variables","docAbstract":"Traditionally, fish habitat requirements have been described from local-scale environmental variables. However, recent studies have shown that studying landscape-scale processes improves our understanding of what drives species assemblages and distribution patterns across the landscape. Our goal was to learn more about constraints on the distribution of Michigan stream fish by examining landscape-scale habitat variables. We used classification trees and landscape-scale habitat variables to create and validate presence-absence models and relative abundance models for Michigan stream fishes. We developed 93 presence-absence models that on average were 72% correct in making predictions for an independent data set, and we developed 46 relative abundance models that were 76% correct in making predictions for independent data. The models were used to create statewide predictive distribution and abundance maps that have the potential to be used for a variety of conservation and scientific purposes. ?? Copyright by the American Fisheries Society 2008.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1577/T07-119.1","issn":"00028487","usgsCitation":"Steen, P., Zorn, T., Seelbach, P., and Schaeffer, J., 2008, Classification tree models for predicting distributions of michigan stream fish from landscape variables: Transactions of the American Fisheries Society, v. 137, no. 4, p. 976-996, https://doi.org/10.1577/T07-119.1.","startPage":"976","endPage":"996","costCenters":[],"links":[{"id":476503,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2027.42/141481","text":"External Repository"},{"id":203363,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18830,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1577/T07-119.1"}],"volume":"137","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-01-09","publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672b94","contributors":{"authors":[{"text":"Steen, P.J.","contributorId":65590,"corporation":false,"usgs":true,"family":"Steen","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":345635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zorn, T.G.","contributorId":11316,"corporation":false,"usgs":true,"family":"Zorn","given":"T.G.","email":"","affiliations":[],"preferred":false,"id":345633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seelbach, P.W.","contributorId":69277,"corporation":false,"usgs":true,"family":"Seelbach","given":"P.W.","email":"","affiliations":[],"preferred":false,"id":345636,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schaeffer, J.S.","contributorId":42688,"corporation":false,"usgs":true,"family":"Schaeffer","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":345634,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70000386,"text":"70000386 - 2008 - Humid tropical forest clearing from 2000 to 2005 quantified by using multitemporal and multiresolution remotely sensed data","interactions":[],"lastModifiedDate":"2017-05-16T11:18:01","indexId":"70000386","displayToPublicDate":"2010-09-28T23:09:23","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Humid tropical forest clearing from 2000 to 2005 quantified by using multitemporal and multiresolution remotely sensed data","docAbstract":"<p><span>Forest cover is an important input variable for assessing changes to carbon stocks, climate and hydrological systems, biodiversity richness, and other sustainability science disciplines. Despite incremental improvements in our ability to quantify rates of forest clearing, there is still no definitive understanding on global trends. Without timely and accurate forest monitoring methods, policy responses will be uninformed concerning the most basic facts of forest cover change. Results of a feasible and cost-effective monitoring strategy are presented that enable timely, precise, and internally consistent estimates of forest clearing within the humid tropics. A probability-based sampling approach that synergistically employs low and high spatial resolution satellite datasets was used to quantify humid tropical forest clearing from 2000 to 2005. Forest clearing is estimated to be 1.39% (SE 0.084%) of the total biome area. This translates to an estimated forest area cleared of 27.2 million hectares (SE 2.28 million hectares), and represents a 2.36% reduction in area of humid tropical forest. Fifty-five percent of total biome clearing occurs within only 6% of the biome area, emphasizing the presence of forest clearing “hotspots.” Forest loss in Brazil accounts for 47.8% of total biome clearing, nearly four times that of the next highest country, Indonesia, which accounts for 12.8%. Over three-fifths of clearing occurs in Latin America and over one-third in Asia. Africa contributes 5.4% to the estimated loss of humid tropical forest cover, reflecting the absence of current agro-industrial scale clearing in humid tropical Africa.</span></p>","language":"English","publisher":"PNAS","doi":"10.1073/pnas.0804042105","issn":"00278424","usgsCitation":"Hansen, M.C., Stehman, S., Potapov, P.V., Loveland, T., Townshend, J., DeFries, R., Pittman, K., Arunarwati, B., Stolle, F., Steininger, M., Carroll, M., and DiMiceli, C., 2008, Humid tropical forest clearing from 2000 to 2005 quantified by using multitemporal and multiresolution remotely sensed data: Proceedings of the National Academy of Sciences of the United States of America, v. 105, no. 27, p. 9439-9444, https://doi.org/10.1073/pnas.0804042105.","productDescription":"6 p.","startPage":"9439","endPage":"9444","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":476507,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2453739","text":"External Repository"},{"id":203355,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","issue":"27","noUsgsAuthors":false,"publicationDate":"2008-07-08","publicationStatus":"PW","scienceBaseUri":"4f4e4a52e4b07f02db62a53f","contributors":{"authors":[{"text":"Hansen, Matthew C.","contributorId":192036,"corporation":false,"usgs":false,"family":"Hansen","given":"Matthew","email":"","middleInitial":"C.","affiliations":[{"id":12623,"text":"State University of New York College of Environmental Science and Forestry","active":true,"usgs":false},{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":345611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stehman, S.V.","contributorId":91974,"corporation":false,"usgs":false,"family":"Stehman","given":"S.V.","email":"","affiliations":[{"id":27852,"text":"State University of New York, Syracuse","active":true,"usgs":false}],"preferred":false,"id":345612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Potapov, Peter V.","contributorId":192037,"corporation":false,"usgs":false,"family":"Potapov","given":"Peter","email":"","middleInitial":"V.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":345606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loveland, Thomas R. 0000-0003-3114-6646","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":106125,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas R.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":345614,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Townshend, J.R.G.","contributorId":15321,"corporation":false,"usgs":true,"family":"Townshend","given":"J.R.G.","email":"","affiliations":[],"preferred":false,"id":345604,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeFries, R.S.","contributorId":61549,"corporation":false,"usgs":true,"family":"DeFries","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":345610,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pittman, K.W.","contributorId":101782,"corporation":false,"usgs":true,"family":"Pittman","given":"K.W.","email":"","affiliations":[],"preferred":false,"id":345613,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Arunarwati, B.","contributorId":108234,"corporation":false,"usgs":true,"family":"Arunarwati","given":"B.","email":"","affiliations":[],"preferred":false,"id":345615,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stolle, F.","contributorId":46662,"corporation":false,"usgs":true,"family":"Stolle","given":"F.","email":"","affiliations":[],"preferred":false,"id":345608,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Steininger, M.K.","contributorId":29933,"corporation":false,"usgs":true,"family":"Steininger","given":"M.K.","email":"","affiliations":[],"preferred":false,"id":345607,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Carroll, M.","contributorId":16137,"corporation":false,"usgs":true,"family":"Carroll","given":"M.","email":"","affiliations":[],"preferred":false,"id":345605,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"DiMiceli, C.","contributorId":49498,"corporation":false,"usgs":true,"family":"DiMiceli","given":"C.","email":"","affiliations":[],"preferred":false,"id":345609,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70000375,"text":"70000375 - 2008 - Photoreduction fuels biogeochemical cycling of iron in Spain's acid rivers","interactions":[],"lastModifiedDate":"2018-10-17T08:32:18","indexId":"70000375","displayToPublicDate":"2010-09-28T23:09:23","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Photoreduction fuels biogeochemical cycling of iron in Spain's acid rivers","docAbstract":"<div id=\"abstracts\" class=\"Abstracts\"><div id=\"aep-abstract-id17\" class=\"abstract author\"><div id=\"aep-abstract-sec-id18\"><p>A number of investigations have shown that photoreduction of Fe(III) causes midday accumulations of dissolved Fe(II) in rivers and lakes, leading to large diel (24-h) fluctuations in the concentration and speciation of total dissolved iron. Less well appreciated is the importance of photoreduction in providing chemical energy for bacteria to thrive in low pH waters. Diel variations in water chemistry from the highly acidic (pH 2.3 to 3.1) Río Tinto, Río Odiel, and Río Agrio of southwestern Spain (Iberian Pyrite Belt) resulted in daytime increases in Fe(II) concentration of 15 to 66&nbsp;µM at four diel sampling locations. Dissolved Fe(II) concentrations increased with solar radiation, and one of the stream sites showed an antithetic relationship between dissolved Fe(II) and Fe(III) concentrations; both results are consistent with photoreduction. The diel data were used to estimate rates of microbially catalyzed Fe(II) oxidation (1 to 3&nbsp;nmol L<sup>−&nbsp;1</sup>s<sup>−&nbsp;1</sup>) and maximum rates of Fe(III) photoreduction (1.7 to 4.3&nbsp;nmol L<sup>−&nbsp;1</sup>s<sup>−&nbsp;1</sup>). Bioenergetic calculations indicate that the latter rates are sufficient to build up a population of Fe-oxidizing bacteria to the levels observed in the Río Tinto in about 30&nbsp;days. We conclude that photoreduction plays an important role in the bioenergetics of the bacterial communities of these acidic rivers, which have previously been shown to be dominated by autotrophic Fe(II)-oxidizers such as<span>&nbsp;</span><i>Acidithiobacillus ferrooxidans</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Leptospirillum ferrooxidans</i>. Given the possibility of the previous existence of acidic, Fe(III)-rich water on Mars, photoreduction may be an important process on other planets, a fact that could have implications to astrobiological research.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2008.03.004","issn":"00092541","usgsCitation":"Gammons, C., Nimick, D., Parker, S., Snyder, D., McCleskey, R.B., Amils, R., and Poulson, S., 2008, Photoreduction fuels biogeochemical cycling of iron in Spain's acid rivers: Chemical Geology, v. 252, no. 3-4, p. 202-213, https://doi.org/10.1016/j.chemgeo.2008.03.004.","productDescription":"12 p.","startPage":"202","endPage":"213","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":203551,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18820,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2008.03.004"}],"volume":"252","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db685db4","contributors":{"authors":[{"text":"Gammons, C.H.","contributorId":18459,"corporation":false,"usgs":true,"family":"Gammons","given":"C.H.","affiliations":[],"preferred":false,"id":345591,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nimick, D. A.","contributorId":70399,"corporation":false,"usgs":true,"family":"Nimick","given":"D. A.","affiliations":[],"preferred":false,"id":345594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker, S.R.","contributorId":62725,"corporation":false,"usgs":true,"family":"Parker","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":345593,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Snyder, D.M.","contributorId":74117,"corporation":false,"usgs":true,"family":"Snyder","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":345595,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":345590,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Amils, R.","contributorId":22888,"corporation":false,"usgs":true,"family":"Amils","given":"R.","affiliations":[],"preferred":false,"id":345592,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poulson, S.R.","contributorId":98859,"corporation":false,"usgs":true,"family":"Poulson","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":345596,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70000334,"text":"70000334 - 2008 - Trends in snowpack chemistry and comparison to National Atmospheric Deposition Program results for the Rocky Mountains, US, 1993-2004","interactions":[],"lastModifiedDate":"2017-01-18T14:28:31","indexId":"70000334","displayToPublicDate":"2010-09-28T23:09:23","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":924,"text":"Atmospheric Environment","active":true,"publicationSubtype":{"id":10}},"title":"Trends in snowpack chemistry and comparison to National Atmospheric Deposition Program results for the Rocky Mountains, US, 1993-2004","docAbstract":"Seasonal snowpack chemistry data from the Rocky Mountain region of the US was examined to identify long-term trends in concentration and chemical deposition in snow and in snow-water equivalent. For the period 1993-2004, comparisons of trends were made between 54 Rocky Mountain Snowpack sites and 16 National Atmospheric Deposition Program wetfall sites located nearby in the region. The region was divided into three subregions: Northern, Central, and Southern. A non-parametric correlation method known as the Regional Kendall Test was used. This technique collectively computed the slope, direction, and probability of trend for several sites at once in each of the Northern, Central, and Southern Rockies subregions. Seasonal Kendall tests were used to evaluate trends at individual sites. Significant trends occurred during the period in wetfall and snowpack concentrations and deposition, and in precipitation. For the comparison, trends in concentrations of ammonium, nitrate, and sulfate for the two networks were in fair agreement. In several cases, increases in ammonium and nitrate concentrations, and decreases in sulfate concentrations for both wetfall and snowpack were consistent in the three subregions. However, deposition patterns between wetfall and snowpack more often were opposite, particularly for ammonium and nitrate. Decreases in ammonium and nitrate deposition in wetfall in the central and southern rockies subregions mostly were moderately significant (p<0.11) in constrast to highly significant increases in snowpack (p<0.02). These opposite trends likely are explained by different rates of declining precipitation during the recent drought (1999-2004) and increasing concentration. Furthermore, dry deposition was an important factor in total deposition of nitrogen in the region. Sulfate deposition decreased with moderate to high significance in all three subregions in both wetfall and snowpack. Precipitation trends consistently were downward and significant for wetfall, snowpack, and snow-telemetry data for the central and southern rockies subregions (p<0.03), while no trends were noted for the Northern Rockies subregion.","language":"English","publisher":"Elsevier","doi":"10.1016/j.atmosenv.2008.02.030","issn":"13522310","usgsCitation":"Ingersoll, G., Mast, M., Campbell, K., Clow, D.W., Nanus, L., and Turk, J., 2008, Trends in snowpack chemistry and comparison to National Atmospheric Deposition Program results for the Rocky Mountains, US, 1993-2004: Atmospheric Environment, v. 42, no. 24, p. 6098-6113, https://doi.org/10.1016/j.atmosenv.2008.02.030.","productDescription":"16 p.","startPage":"6098","endPage":"6113","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":203341,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18799,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.atmosenv.2008.02.030"}],"volume":"42","issue":"24","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afce4b07f02db696520","contributors":{"authors":[{"text":"Ingersoll, G.P.","contributorId":36923,"corporation":false,"usgs":true,"family":"Ingersoll","given":"G.P.","email":"","affiliations":[],"preferred":false,"id":345470,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mast, M.A.","contributorId":67871,"corporation":false,"usgs":true,"family":"Mast","given":"M.A.","affiliations":[],"preferred":false,"id":345472,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell, K.","contributorId":63351,"corporation":false,"usgs":false,"family":"Campbell","given":"K.","affiliations":[{"id":47665,"text":"St. Anthony Falls Laboratory, University of Minnesota, Minneapolis, MN, USA","active":true,"usgs":false}],"preferred":false,"id":345471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clow, D. W.","contributorId":23531,"corporation":false,"usgs":true,"family":"Clow","given":"D.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":345469,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nanus, L.","contributorId":83239,"corporation":false,"usgs":true,"family":"Nanus","given":"L.","affiliations":[],"preferred":false,"id":345473,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Turk, J.T.","contributorId":94259,"corporation":false,"usgs":true,"family":"Turk","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":345474,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70000054,"text":"70000054 - 2008 - Range-wide phylogeographic analysis of the spotted frog complex (Rana luteiventris and Rana pretiosa) in northwestern North America","interactions":[],"lastModifiedDate":"2017-11-17T14:30:18","indexId":"70000054","displayToPublicDate":"2010-09-28T23:09:23","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2779,"text":"Molecular Phylogenetics and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Range-wide phylogeographic analysis of the spotted frog complex (Rana luteiventris and Rana pretiosa) in northwestern North America","docAbstract":"The dynamic geological and climatic history of northwestern North America has made it a focal region for phylogeography. We conducted a range-wide phylogeographic analysis of the spotted frog complex (Rana luteiventris and Rana pretiosa) across its range in northwestern North America to understand its evolutionary history and the distribution of clades to inform conservation of R. pretiosa and Great Basin R. luteiventris, candidates for listing under the US Endangered Species Act. Mitochondrial DNA sequence data from a segment of the cytochrome b gene were obtained from 308 R. luteiventris and R. pretiosa from 96 sites. Phylogenetic analysis revealed one main R. pretiosa clade and three main R. luteiventris clades, two of which overlapped in southeastern Oregon. The three R. luteiventris clades were separated from each other by high levels of sequence divergence (average of 4.75-4.97%). Two divergent clades were also uncovered within the Great Basin. Low genetic variation in R. pretiosa and the southeastern Oregon clade of R. luteiventris suggests concern about their vulnerability to extinction. ?? 2008 Elsevier Inc.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Molecular Phylogenetics and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.ympev.2008.05.037","issn":"10557903","usgsCitation":"Funk, W., Pearl, C., Draheim, H., Adams, M., Mullins, T., and Haig, S.M., 2008, Range-wide phylogeographic analysis of the spotted frog complex (Rana luteiventris and Rana pretiosa) in northwestern North America: Molecular Phylogenetics and Evolution, v. 49, no. 1, p. 198-210, https://doi.org/10.1016/j.ympev.2008.05.037.","startPage":"198","endPage":"210","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":18657,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ympev.2008.05.037"},{"id":203388,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a5fe4b07f02db63463d","contributors":{"authors":[{"text":"Funk, W.C.","contributorId":29934,"corporation":false,"usgs":true,"family":"Funk","given":"W.C.","email":"","affiliations":[],"preferred":false,"id":344817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearl, C.A. 0000-0003-2943-7321","orcid":"https://orcid.org/0000-0003-2943-7321","contributorId":30732,"corporation":false,"usgs":true,"family":"Pearl","given":"C.A.","affiliations":[],"preferred":false,"id":344819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Draheim, H.M.","contributorId":42689,"corporation":false,"usgs":true,"family":"Draheim","given":"H.M.","affiliations":[],"preferred":false,"id":344820,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, M.J. 0000-0001-8844-042X","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":30183,"corporation":false,"usgs":true,"family":"Adams","given":"M.J.","affiliations":[],"preferred":false,"id":344818,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mullins, T.D.","contributorId":26046,"corporation":false,"usgs":true,"family":"Mullins","given":"T.D.","email":"","affiliations":[],"preferred":false,"id":344816,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haig, S. M. 0000-0002-6616-7589","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":55389,"corporation":false,"usgs":true,"family":"Haig","given":"S.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":344821,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70000318,"text":"70000318 - 2008 - Modeling distribution of dispersal distances in male white-tailed deer","interactions":[],"lastModifiedDate":"2012-03-08T17:16:37","indexId":"70000318","displayToPublicDate":"2010-09-28T23:09:23","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Modeling distribution of dispersal distances in male white-tailed deer","docAbstract":"Dispersal distances and their distribution pattern are important to understanding such phenomena as disease spread and gene flow, but oftentimes dispersal characteristics are modeled as a fixed trait for a given species. We found that dispersal distributions differ for spring and autumn dispersals of yearling male white-tailed deer (Odocoileus virginianus) but that combined data can be adequately modeled based on a log-normal distribution. We modeled distribution of dispersal distances from 3 distinct populations in Pennsylvania and Maryland, USA, based on the relationship between percent forest cover and mean dispersal distance and the relationship between mean and variance of dispersal distances. Our results suggest distributions of distances for dispersing yearling male white-tailed deer can be modeled by simply measuring a readily obtained landscape metric, percent forest cover, which could be used to create generalized spatially explicit disease or gene.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2193/2007-436","issn":"0022541X","usgsCitation":"Diefenbach, D., Long, E., Rosenberry, C., Wallingford, B., and Smith, D., 2008, Modeling distribution of dispersal distances in male white-tailed deer: Journal of Wildlife Management, v. 72, no. 6, p. 1296-1303, https://doi.org/10.2193/2007-436.","startPage":"1296","endPage":"1303","costCenters":[],"links":[{"id":203735,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18787,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2193/2007-436"}],"volume":"72","issue":"6","noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699985","contributors":{"authors":[{"text":"Diefenbach, Duane R. 0000-0001-5111-1147","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":106592,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane R.","affiliations":[],"preferred":false,"id":345433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, E.S.","contributorId":85305,"corporation":false,"usgs":true,"family":"Long","given":"E.S.","email":"","affiliations":[],"preferred":false,"id":345432,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberry, C.S.","contributorId":22884,"corporation":false,"usgs":true,"family":"Rosenberry","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":345429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wallingford, B.D.","contributorId":62726,"corporation":false,"usgs":true,"family":"Wallingford","given":"B.D.","email":"","affiliations":[],"preferred":false,"id":345431,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, D. R. 0000-0001-6074-9257","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":44108,"corporation":false,"usgs":true,"family":"Smith","given":"D. R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":345430,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70000186,"text":"70000186 - 2008 - Fish assemblages of the Casiquiare River, a corridor and zoogeographical filter for dispersal between the Orinoco and Amazon basins","interactions":[],"lastModifiedDate":"2012-03-08T17:16:34","indexId":"70000186","displayToPublicDate":"2010-09-28T23:09:23","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Fish assemblages of the Casiquiare River, a corridor and zoogeographical filter for dispersal between the Orinoco and Amazon basins","docAbstract":"Aim: The aim of this study was to determine whether the Casiquiare River functions as a free dispersal corridor or as a partial barrier (i.e. filter) for the interchange of fish species of the Orinoco and Negro/Amazon basins using species assemblage patterns according to geographical location and environmental features. Location: The Casiquiare, Upper Orinoco and Upper Negro rivers in southern Venezuela, South America. Methods: Our study was based on an analysis of species presence/absence data and environmental information (11 habitat characteristics) collected by the authors and colleagues between the years 1984 and 1999. The data set consisted of 269 sampled sites and 452 fish species (> 50,000 specimens). A wide range of habitat types was included in the samples, and the collection sites were located at various points along the entire length of the Casiquiare main channel, at multiple sites on its tributary streams, as well as at various nearby sites outside the Casiquiare drainage, within the Upper Orinoco and Upper Rio Negro river systems. Most specimens and field data used in this analysis are archived in the Museo de Ciencias Naturales in Guanare, Venezuela. We performed canonical correspondence analysis (CCA) based on species presence/absence using two versions of the data set: one that eliminated sites having < 5 species and species occurring at < 5 sites; and another that eliminated sites having < 10 species and species occurring at < 10 sites. Cluster analysis was performed on sites based on species assemblage similarity, and a separate analysis was performed on species based on CCA loadings. Results: The CCA results for the two versions of the data set were qualitatively the same. The dominant environmental axis contrasted assemblages and sites associated with blackwater vs. clearwater conditions. Longitudinal position on the Casiquiare River was correlated (r2 = 0.33) with CCA axis-1 scores, reflecting clearwater conditions nearer to its origin (bifurcation of the Orinoco) and blackwater conditions nearer to its mouth (junction with the Rio Negro). The second CCA axis was most strongly associated with habitat size and structural complexity. Species associations derived from the unweighted pair-group average clustering method and pair-wise squared Euclidean distances calculated from species loadings on CCA axes 1 and 2 showed seven ecological groupings. Cluster analysis of species assemblages according to watershed revealed a stronger influence of local environmental conditions than of geographical proximity. Main conclusions: Fish assemblage composition is more consistently associated with local environmental conditions than with geographical position within the river drainages. Nonetheless, the results support the hypothesis that the mainstem Casiquiare represents a hydrochemical gradient between clearwaters at its origin and blackwaters at its mouth, and as such appears to function as a semi-permeable barrier (environmental filter) to dispersal and faunal exchanges between the partially vicariant fish faunas of the Upper Orinoco and Upper Negro rivers. ?? 2008 The Authors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Biogeography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-2699.2008.01917.x","issn":"03050270","usgsCitation":"Winemiller, K., Lopez-Fernandez, H., Taphorn, D., Nico, L., and Duque, A., 2008, Fish assemblages of the Casiquiare River, a corridor and zoogeographical filter for dispersal between the Orinoco and Amazon basins: Journal of Biogeography, v. 35, no. 9, p. 1551-1563, https://doi.org/10.1111/j.1365-2699.2008.01917.x.","startPage":"1551","endPage":"1563","costCenters":[],"links":[{"id":203312,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18715,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2699.2008.01917.x"}],"volume":"35","issue":"9","noUsgsAuthors":false,"publicationDate":"2008-08-11","publicationStatus":"PW","scienceBaseUri":"4f4e49f7e4b07f02db5f23f7","contributors":{"authors":[{"text":"Winemiller, K.O.","contributorId":103394,"corporation":false,"usgs":true,"family":"Winemiller","given":"K.O.","affiliations":[],"preferred":false,"id":345074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lopez-Fernandez, H.","contributorId":103395,"corporation":false,"usgs":true,"family":"Lopez-Fernandez","given":"H.","email":"","affiliations":[],"preferred":false,"id":345075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taphorn, D.C.","contributorId":32480,"corporation":false,"usgs":true,"family":"Taphorn","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":345071,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nico, L.G. 0000-0002-4488-7737","orcid":"https://orcid.org/0000-0002-4488-7737","contributorId":83052,"corporation":false,"usgs":true,"family":"Nico","given":"L.G.","affiliations":[],"preferred":false,"id":345072,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duque, A.B.","contributorId":97611,"corporation":false,"usgs":true,"family":"Duque","given":"A.B.","email":"","affiliations":[],"preferred":false,"id":345073,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70000404,"text":"70000404 - 2008 - Carbon isotope fractionation of dissolved inorganic carbon (DIC) due to outgassing of carbon dioxide from a headwater stream","interactions":[],"lastModifiedDate":"2012-03-08T17:16:36","indexId":"70000404","displayToPublicDate":"2010-09-28T23:09:23","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Carbon isotope fractionation of dissolved inorganic carbon (DIC) due to outgassing of carbon dioxide from a headwater stream","docAbstract":"The stable isotopic composition of dissolved inorganic carbon (??13C-DIC) was investigated as a potential tracer of streamflow generation processes at the Sleepers River Research Watershed, Vermont, USA. Downstream sampling showed ?? 13C-DIC increased between 3-5??? from the stream source to the outlet weir approximately 0??5 km downstream, concomitant with increasing pH and decreasing PCO2. An increase in ??13C-DIC of 2.4 ?? 0??1??? per log unit decrease of excess PCO2 (stream PCO2 normalized to atmospheric PCO2) was observed from downstream transect data collected during snowmelt. Isotopic fractionation of DIC due to CO2 outgassing rather than exchange with atmospheric CO2 may be the primary cause of increased ?? 13C-DIC values downstream when PCO2 of surface freshwater exceeds twice the atmospheric CO2 concentration. Although CO2 outgassing caused a general increase in stream ??13C-DIC values, points of localized groundwater seepage into the stream were identified by decreases in ??13C-DIC and increases in DIC concentration of the stream water superimposed upon the general downstream trend. In addition, comparison between snowmelt, early spring and summer seasons showed that DIC is flushed from shallow groundwater flowpaths during snowmelt and is replaced by a greater proportion of DIC derived from soil CO2 during the early spring growing season. Thus, in spite of effects from CO2 outgassing, ??13C of DIC can be a useful indicator of groundwater additions to headwater streams and a tracer of carbon dynamics in catchments. Copyright ?? 2007 John Wiley & Sons, Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/hyp.6833","issn":"08856087","usgsCitation":"Doctor, D., Kendall, C., Sebestyen, S., Shanley, J.B., Ohte, N., and Boyer, E., 2008, Carbon isotope fractionation of dissolved inorganic carbon (DIC) due to outgassing of carbon dioxide from a headwater stream: Hydrological Processes, v. 22, no. 14, p. 2410-2423, https://doi.org/10.1002/hyp.6833.","startPage":"2410","endPage":"2423","costCenters":[],"links":[{"id":203605,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18835,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.6833"}],"volume":"22","issue":"14","noUsgsAuthors":false,"publicationDate":"2007-12-06","publicationStatus":"PW","scienceBaseUri":"4f4e49f4e4b07f02db5f00f8","contributors":{"authors":[{"text":"Doctor, D.H.","contributorId":94773,"corporation":false,"usgs":true,"family":"Doctor","given":"D.H.","affiliations":[],"preferred":false,"id":345661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, C. 0000-0002-0247-3405","orcid":"https://orcid.org/0000-0002-0247-3405","contributorId":35050,"corporation":false,"usgs":true,"family":"Kendall","given":"C.","affiliations":[],"preferred":false,"id":345658,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sebestyen, S.D.","contributorId":16142,"corporation":false,"usgs":true,"family":"Sebestyen","given":"S.D.","email":"","affiliations":[],"preferred":false,"id":345656,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shanley, J. B.","contributorId":52226,"corporation":false,"usgs":true,"family":"Shanley","given":"J.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":345659,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ohte, N.","contributorId":16143,"corporation":false,"usgs":true,"family":"Ohte","given":"N.","affiliations":[],"preferred":false,"id":345657,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boyer, E.W.","contributorId":56358,"corporation":false,"usgs":false,"family":"Boyer","given":"E.W.","email":"","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":345660,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70000156,"text":"70000156 - 2008 - Use of complex hydraulic variables to predict the distribution and density of unionids in a side channel of the Upper Mississippi River","interactions":[],"lastModifiedDate":"2012-03-08T17:16:33","indexId":"70000156","displayToPublicDate":"2010-09-28T23:09:22","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Use of complex hydraulic variables to predict the distribution and density of unionids in a side channel of the Upper Mississippi River","docAbstract":"Previous attempts to predict the importance of abiotic and biotic factors to unionids in large rivers have been largely unsuccessful. Many simple physical habitat descriptors (e.g., current velocity, substrate particle size, and water depth) have limited ability to predict unionid density. However, more recent studies have found that complex hydraulic variables (e.g., shear velocity, boundary shear stress, and Reynolds number) may be more useful predictors of unionid density. We performed a retrospective analysis with unionid density, current velocity, and substrate particle size data from 1987 to 1988 in a 6-km reach of the Upper Mississippi River near Prairie du Chien, Wisconsin. We used these data to model simple and complex hydraulic variables under low and high flow conditions. We then used classification and regression tree analysis to examine the relationships between hydraulic variables and unionid density. We found that boundary Reynolds number, Froude number, boundary shear stress, and grain size were the best predictors of density. Models with complex hydraulic variables were a substantial improvement over previously published discriminant models and correctly classified 65-88% of the observations for the total mussel fauna and six species. These data suggest that unionid beds may be constrained by threshold limits at both ends of the flow regime. Under low flow, mussels may require a minimum hydraulic variable (Rez.ast;, Fr) to transport nutrients, oxygen, and waste products. Under high flow, areas with relatively low boundary shear stress may provide a hydraulic refuge for mussels. Data on hydraulic preferences and identification of other conditions that constitute unionid habitat are needed to help restore and enhance habitats for unionids in rivers. ?? 2008 Springer Science+Business Media B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrobiologia","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s10750-008-9423-z","issn":"00188158","usgsCitation":"Steuer, J.J., Newton, T., and Zigler, S.J., 2008, Use of complex hydraulic variables to predict the distribution and density of unionids in a side channel of the Upper Mississippi River: Hydrobiologia, v. 610, no. 1, p. 67-82, https://doi.org/10.1007/s10750-008-9423-z.","startPage":"67","endPage":"82","costCenters":[],"links":[{"id":203264,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18698,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10750-008-9423-z"}],"volume":"610","issue":"1","noUsgsAuthors":false,"publicationDate":"2008-05-27","publicationStatus":"PW","scienceBaseUri":"4f4e4a17e4b07f02db6048d9","contributors":{"authors":[{"text":"Steuer, J. J.","contributorId":12430,"corporation":false,"usgs":true,"family":"Steuer","given":"J.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":344989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newton, T.J.","contributorId":104428,"corporation":false,"usgs":true,"family":"Newton","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":344991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zigler, S. J.","contributorId":21513,"corporation":false,"usgs":true,"family":"Zigler","given":"S.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":344990,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70000468,"text":"70000468 - 2008 - Reactive flow models of the Anarraaq Zn-Pb-Ag deposit, Red Dog district, Alaska","interactions":[],"lastModifiedDate":"2012-03-08T17:16:33","indexId":"70000468","displayToPublicDate":"2010-09-28T23:09:22","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2746,"text":"Mineralium Deposita","active":true,"publicationSubtype":{"id":10}},"title":"Reactive flow models of the Anarraaq Zn-Pb-Ag deposit, Red Dog district, Alaska","docAbstract":"The Red Dog ore deposit district in the Brooks Range of northern Alaska is host to several high-grade, shale-hosted Zn + Pb deposits. Due to the complex history and deformation of these ore deposits, the geological and hydrological conditions at the time of formation are poorly understood. Using geological observations and fluid inclusion data as constraints, numerical heat and fluid flow simulations of the Anarraaq ore deposit environment and coupled reactive flow simulations of a section of the ore body were conducted to gain more insight into the conditions of ore body formation. Results suggest that the ore body and associated base metal zonation may have formed by the mixing of oxidized, saline, metal-bearing hydrothermal fluids (<200??C) with reducing, HS-rich pore fluids within radiolarite-rich host rocks. Sphalerite and galena concentrations and base metal sulfide distribution are primarily controlled by the nature of the pore fluids, i.e., the extent and duration of the HS- source. Forward modeling results also predict the distribution of pyrite and quartz in agreement with field observations and indicate a reaction front moving from the initial mixing interface into the radiolarite rocks. Heuristic mass calculations suggest that ore grades and base metal accumulation comparable to those found in the field (18% Zn, 5% Pb) are predicted to be reached after about 0.3 My for initial conditions (30 ppm Zn, 3 ppm Pb; 20% deposition efficiency). ?? Springer-Verlag 2008.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mineralium Deposita","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s00126-008-0193-3","issn":"00264598","usgsCitation":"Schardt, C., Garven, G., Kelley, K., and Leach, D.L., 2008, Reactive flow models of the Anarraaq Zn-Pb-Ag deposit, Red Dog district, Alaska: Mineralium Deposita, v. 43, no. 7, p. 735-757, https://doi.org/10.1007/s00126-008-0193-3.","startPage":"735","endPage":"757","costCenters":[],"links":[{"id":18885,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00126-008-0193-3"},{"id":203464,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"7","noUsgsAuthors":false,"publicationDate":"2008-06-11","publicationStatus":"PW","scienceBaseUri":"4f4e4ad7e4b07f02db68438c","contributors":{"authors":[{"text":"Schardt, C.","contributorId":61935,"corporation":false,"usgs":true,"family":"Schardt","given":"C.","email":"","affiliations":[],"preferred":false,"id":345968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garven, G.","contributorId":34632,"corporation":false,"usgs":false,"family":"Garven","given":"G.","email":"","affiliations":[],"preferred":false,"id":345967,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelley, K.D. 0000-0002-3232-5809","orcid":"https://orcid.org/0000-0002-3232-5809","contributorId":75157,"corporation":false,"usgs":true,"family":"Kelley","given":"K.D.","affiliations":[],"preferred":false,"id":345969,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leach, D. L.","contributorId":18758,"corporation":false,"usgs":true,"family":"Leach","given":"D.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":345966,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70000490,"text":"70000490 - 2008 - Compositional stratigraphy of clay-bearing layered deposits at Mawrth Vallis, Mars","interactions":[],"lastModifiedDate":"2018-12-05T16:30:56","indexId":"70000490","displayToPublicDate":"2010-09-28T23:09:22","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Compositional stratigraphy of clay-bearing layered deposits at Mawrth Vallis, Mars","docAbstract":"<p>Phyllosilicates have previously been detected in layered outcrops in and around the Martian outflow channel Mawrth Vallis. CRISM spectra of these outcrops exhibit features diagnostic of kaolinite, montmorillonite, and Fe/Mg-rich smectites, along with crystalline ferric oxide minerals such as hematite. These minerals occur in distinct stratigraphic horizons, implying changing environmental conditions and/or a variable sediment source for these layered deposits. Similar stratigraphic sequences occur on both sides of the outflow channel and on its floor, with Al-clay-bearing layers typically overlying Fe/Mg-clay-bearing layers. This pattern, combined with layer geometries measured using topographic data from HiRISE and HRSC, suggests that the Al-clay-bearing horizons at Mawrth Vallis postdate the outflow channel and may represent a later sedimentary or altered pyroclastic deposit that drapes the topography.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2008GL034385","issn":"00948276","usgsCitation":"Wray, J., Ehlmann, B., Squyres, S.W., Mustard, J., and Kirk, R.L., 2008, Compositional stratigraphy of clay-bearing layered deposits at Mawrth Vallis, Mars: Geophysical Research Letters, v. 35, no. 12, 6 p., https://doi.org/10.1029/2008GL034385.","productDescription":"6 p.","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":476517,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/35361a69312d4a01886fb651b5c828f1","text":"External Repository"},{"id":203767,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars; Mawrth Vallis","volume":"35","issue":"12","noUsgsAuthors":false,"publicationDate":"2008-06-21","publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a7fc8","contributors":{"authors":[{"text":"Wray, J.J.","contributorId":26049,"corporation":false,"usgs":true,"family":"Wray","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":346031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ehlmann, B.L.","contributorId":107837,"corporation":false,"usgs":true,"family":"Ehlmann","given":"B.L.","email":"","affiliations":[],"preferred":false,"id":346035,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Squyres, S. W.","contributorId":31836,"corporation":false,"usgs":true,"family":"Squyres","given":"S.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":346032,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mustard, J.F.","contributorId":91605,"corporation":false,"usgs":true,"family":"Mustard","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":346033,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":346034,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70000163,"text":"70000163 - 2008 - A national reconnaissance for pharmaceuticals and other organic wastewater contaminants in the United States - II) Untreated drinking water sources","interactions":[],"lastModifiedDate":"2018-10-22T08:09:22","indexId":"70000163","displayToPublicDate":"2010-09-28T23:09:22","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"A national reconnaissance for pharmaceuticals and other organic wastewater contaminants in the United States - II) Untreated drinking water sources","docAbstract":"<p>Numerous studies have shown that a variety of manufactured and natural organic compounds such as pharmaceuticals, steroids, surfactants, flame retardants, fragrances, plasticizers and other chemicals often associated with wastewaters have been detected in the vicinity of municipal wastewater discharges and livestock agricultural facilities. To provide new data and insights about the environmental presence of some of these chemicals in untreated sources of drinking water in the United States targeted sites were sampled and analyzed for 100 analytes with sub-parts per billion detection capabilities. The sites included 25 ground- and 49 surface-water sources of drinking water serving populations ranging from one family to over 8 million people.</p>\n<p>Sixty-three of the 100 targeted chemicals were detected in at least one water sample. Interestingly, in spite of the low detection levels 60% of the 36 pharmaceuticals (including prescription drugs and antibiotics) analyzed were not detected in any water sample. The five most frequently detected chemicals targeted in surface water were: cholesterol (59%, natural sterol), metolachlor (53%, herbicide), cotinine (51%, nicotine metabolite), &beta;-sitosterol (37%, natural plant sterol), and 1,7-dimethylxanthine (27%, caffeine metabolite); and in ground water: tetrachloroethylene (24%, solvent), carbamazepine (20%, pharmaceutical), bisphenol-A (20%, plasticizer), 1,7-dimethylxanthine (16%, caffeine metabolite), and tri (2-chloroethyl) phosphate (12%, fire retardant). A median of 4 compounds were detected per site indicating that the targeted chemicals generally occur in mixtures (commonly near detection levels) in the environment and likely originate from a variety of animal and human uses and waste sources. These data will help prioritize and determine the need, if any, for future occurrence, fate and transport, and health-effects research for subsets of these chemicals and their degradates most likely to be found in water resources used for drinking water in the United States.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2008.02.021","issn":"00489697","usgsCitation":"Focazio, M., Kolpin, D., Barnes, K., Furlong, E., Meyer, M.T., Zaugg, S., Barber, L.B., and Thurman, M., 2008, A national reconnaissance for pharmaceuticals and other organic wastewater contaminants in the United States - II) Untreated drinking water sources: Science of the Total Environment, v. 402, no. 2-3, p. 201-216, https://doi.org/10.1016/j.scitotenv.2008.02.021.","productDescription":"16 p.","startPage":"201","endPage":"216","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":203793,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.607421875,\n              48.980216985374994\n            ],\n            [\n              -95.2734375,\n              49.095452162534826\n            ],\n            [\n              -92.724609375,\n              48.69096039092549\n            ],\n            [\n              -90.17578124999999,\n              48.10743118848039\n            ],\n            [\n              -88.9453125,\n              47.98992166741417\n            ],\n            [\n              -91.7578125,\n              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,{"id":70000137,"text":"70000137 - 2008 - Multi-proxy evidence for Late Pleistocene-Holocene climatic and environmental changes in Lop-Nur, Xinjiang, Northwest China","interactions":[],"lastModifiedDate":"2012-03-08T17:16:35","indexId":"70000137","displayToPublicDate":"2010-09-28T23:09:22","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1233,"text":"Chinese Journal of Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Multi-proxy evidence for Late Pleistocene-Holocene climatic and environmental changes in Lop-Nur, Xinjiang, Northwest China","docAbstract":"A 10.35-m-long sediment core from the Luobei depression in Lop-Nur, Xinjiang, Northwest China, provides detailed information about environmental changes during the Late Pleistocene. The samples taken every 5 cm of the core were analyzed for 10 environmental proxies, including magnetic susceptibility, granularity, chroma, carbonate and loss on ignition (LOI), and pH value. The chronology data are provided by the uranium/thorium disequilibrium dates. The sediments of the section were deposited during the last 32000 years. The results of analysis of 10 proxies were examined using multivariate statistical analysis, and the principal components were calculated. According to the results, the Late Pleistocene sequence contains four climatic and environmental stages appearing in the cycles of cold-wet and warm-dry changes. During 10-9 ka BP, it was the earliest warm episode in the Holocene. Environmental changes in this district were restricted by global change, as suggested by the analysis of glacial-interglacial cycles. But it was different from the mutative trend of a monsoon region in East China because of its own characteristics, which was the situation of cold-wet and warm-dry climate-environment change. The candidate reason may be the uplift of the Tibet Plateau and the westerly wind circulation. ?? Science Press, Institute of Geochemistry, CAS and Springer-Verlag GmbH 2008.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chinese Journal of Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1007/s11631-008-0257-1","issn":"10009426","usgsCitation":"Luo, C., Yang, D., Peng, Z., Zhang, Z., Weiguo, L., He, J., and Zhou, C., 2008, Multi-proxy evidence for Late Pleistocene-Holocene climatic and environmental changes in Lop-Nur, Xinjiang, Northwest China: Chinese Journal of Geochemistry, v. 27, no. 3, p. 257-264, https://doi.org/10.1007/s11631-008-0257-1.","startPage":"257","endPage":"264","costCenters":[],"links":[{"id":203572,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18687,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11631-008-0257-1"}],"volume":"27","issue":"3","noUsgsAuthors":false,"publicationDate":"2008-07-18","publicationStatus":"PW","scienceBaseUri":"4f4e4b02e4b07f02db698b9e","contributors":{"authors":[{"text":"Luo, C.","contributorId":52697,"corporation":false,"usgs":true,"family":"Luo","given":"C.","email":"","affiliations":[],"preferred":false,"id":344947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yang, D.","contributorId":82440,"corporation":false,"usgs":true,"family":"Yang","given":"D.","email":"","affiliations":[],"preferred":false,"id":344949,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peng, Z.","contributorId":95598,"corporation":false,"usgs":true,"family":"Peng","given":"Z.","affiliations":[],"preferred":false,"id":344951,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhang, Z.","contributorId":47505,"corporation":false,"usgs":true,"family":"Zhang","given":"Z.","email":"","affiliations":[],"preferred":false,"id":344946,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weiguo, L.","contributorId":63926,"corporation":false,"usgs":true,"family":"Weiguo","given":"L.","email":"","affiliations":[],"preferred":false,"id":344948,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"He, J.","contributorId":95993,"corporation":false,"usgs":true,"family":"He","given":"J.","email":"","affiliations":[],"preferred":false,"id":344952,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhou, C.","contributorId":88466,"corporation":false,"usgs":true,"family":"Zhou","given":"C.","email":"","affiliations":[],"preferred":false,"id":344950,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70000150,"text":"70000150 - 2008 - Effects of weather on survival in populations of boreal toads in Colorado","interactions":[],"lastModifiedDate":"2012-03-08T17:16:36","indexId":"70000150","displayToPublicDate":"2010-09-28T23:09:22","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of weather on survival in populations of boreal toads in Colorado","docAbstract":"Understanding the relationships between animal population demography and the abiotic and biotic elements of the environments in which they live is a central objective in population ecology. For example, correlations between weather variables and the probability of survival in populations of temperate zone amphibians may be broadly applicable to several species if such correlations can be validated for multiple situations. This study focuses on the probability of survival and evaluates hypotheses based on six weather variables in three populations of Boreal Toads (Bufo boreas) from central Colorado over eight years. In addition to suggesting a relationship between some weather variables and survival probability in Boreal Toad populations, this study uses robust methods and highlights the need for demographic estimates that are precise and have minimal bias. Capture-recapture methods were used to collect the data, and the Cormack-Jolly-Seber model in program MARK was used for analysis. The top models included minimum daily winter air temperature, and the sum of the model weights for these models was 0.956. Weaker support was found for the importance of snow depth and the amount of environmental moisture in winter in modeling survival probability. Minimum daily winter air temperature was positively correlated with the probability of survival in Boreal Toads at other sites in Colorado and has been identified as an important covariate in studies in other parts of the world. If air temperatures are an important component of survival for Boreal Toads or other amphibians, changes in climate may have profound impacts on populations. Copyright 2008 Society for the Study of Amphibians and Reptiles.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Herpetology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1670/07-257.1","issn":"00221511","usgsCitation":"Scherer, R.D., Muths, E., and Lambert, B., 2008, Effects of weather on survival in populations of boreal toads in Colorado: Journal of Herpetology, v. 42, no. 3, p. 508-517, https://doi.org/10.1670/07-257.1.","startPage":"508","endPage":"517","costCenters":[],"links":[{"id":203281,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18694,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1670/07-257.1"}],"volume":"42","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae0e4b07f02db6883ce","contributors":{"authors":[{"text":"Scherer, R. D.","contributorId":8061,"corporation":false,"usgs":false,"family":"Scherer","given":"R.","email":"","middleInitial":"D.","affiliations":[{"id":6674,"text":"Department of Integrative Biology, University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":344979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muths, E.","contributorId":6394,"corporation":false,"usgs":true,"family":"Muths","given":"E.","affiliations":[],"preferred":false,"id":344978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lambert, B.A.","contributorId":58378,"corporation":false,"usgs":true,"family":"Lambert","given":"B.A.","email":"","affiliations":[],"preferred":false,"id":344980,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70000147,"text":"70000147 - 2008 - Ocean wavenumber estimation from wave-resolving time series imagery","interactions":[],"lastModifiedDate":"2012-03-08T17:16:38","indexId":"70000147","displayToPublicDate":"2010-09-28T23:09:22","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Ocean wavenumber estimation from wave-resolving time series imagery","docAbstract":"We review several approaches that have been used to estimate ocean surface gravity wavenumbers from wave-resolving remotely sensed image sequences. Two fundamentally different approaches that utilize these data exist. A power spectral density approach identifies wavenumbers where image intensity variance is maximized. Alternatively, a cross-spectral correlation approach identifies wavenumbers where intensity coherence is maximized. We develop a solution to the latter approach based on a tomographic analysis that utilizes a nonlinear inverse method. The solution is tolerant to noise and other forms of sampling deficiency and can be applied to arbitrary sampling patterns, as well as to full-frame imagery. The solution includes error predictions that can be used for data retrieval quality control and for evaluating sample designs. A quantitative analysis of the intrinsic resolution of the method indicates that the cross-spectral correlation fitting improves resolution by a factor of about ten times as compared to the power spectral density fitting approach. The resolution analysis also provides a rule of thumb for nearshore bathymetry retrievals-short-scale cross-shore patterns may be resolved if they are about ten times longer than the average water depth over the pattern. This guidance can be applied to sample design to constrain both the sensor array (image resolution) and the analysis array (tomographic resolution). ?? 2008 IEEE.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"IEEE Transactions on Geoscience and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1109/TGRS.2008.919821","issn":"01962892","usgsCitation":"Plant, N., Holland, K.T., and Haller, M., 2008, Ocean wavenumber estimation from wave-resolving time series imagery: IEEE Transactions on Geoscience and Remote Sensing, v. 46, no. 9, p. 2644-2658, https://doi.org/10.1109/TGRS.2008.919821.","startPage":"2644","endPage":"2658","costCenters":[],"links":[{"id":203557,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18692,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/TGRS.2008.919821"}],"volume":"46","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4af4e4b07f02db691f8f","contributors":{"authors":[{"text":"Plant, N.G.","contributorId":94023,"corporation":false,"usgs":true,"family":"Plant","given":"N.G.","email":"","affiliations":[],"preferred":false,"id":344973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holland, K. T.","contributorId":61013,"corporation":false,"usgs":true,"family":"Holland","given":"K.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":344971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haller, M.C.","contributorId":84056,"corporation":false,"usgs":true,"family":"Haller","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":344972,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70000146,"text":"70000146 - 2008 - Numerical modeling of higher order magnetic moments in UXO discrimination","interactions":[],"lastModifiedDate":"2012-03-08T17:16:36","indexId":"70000146","displayToPublicDate":"2010-09-28T23:09:22","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Numerical modeling of higher order magnetic moments in UXO discrimination","docAbstract":"The surface magnetic anomaly observed in unexploded ordnance (UXO) clearance is mainly dipolar, and consequently, the dipole is the only magnetic moment regularly recovered in UXO discrimination. The dipole moment contains information about the intensity of magnetization but lacks information about the shape of the target. In contrast, higher order moments, such as quadrupole and octupole, encode asymmetry properties of the magnetization distribution within the buried targets. In order to improve our understanding of magnetization distribution within UXO and non-UXO objects and to show its potential utility in UXO clearance, we present a numerical modeling study of UXO and related metallic objects. The tool for the modeling is a nonlinear integral equation describing magnetization within isolated compact objects of high susceptibility. A solution for magnetization distribution then allows us to compute the magnetic multipole moments of the object, analyze their relationships, and provide a depiction of the anomaly produced by different moments within the object. Our modeling results show the presence of significant higher order moments for more asymmetric objects, and the fields of these higher order moments are well above the noise level of magnetic gradient data. The contribution from higher order moments may provide a practical tool for improved UXO discrimination. ?? 2008 IEEE.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"IEEE Transactions on Geoscience and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1109/TGRS.2008.918090","issn":"01962892","usgsCitation":"Sanchez, V., Yaoguo, L., Nabighian, M., and Wright, D., 2008, Numerical modeling of higher order magnetic moments in UXO discrimination: IEEE Transactions on Geoscience and Remote Sensing, v. 46, no. 9, p. 2568-2583, https://doi.org/10.1109/TGRS.2008.918090.","startPage":"2568","endPage":"2583","costCenters":[],"links":[{"id":203440,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18691,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/TGRS.2008.918090"}],"volume":"46","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afce4b07f02db69685b","contributors":{"authors":[{"text":"Sanchez, V.","contributorId":107407,"corporation":false,"usgs":true,"family":"Sanchez","given":"V.","email":"","affiliations":[],"preferred":false,"id":344970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yaoguo, L.","contributorId":94771,"corporation":false,"usgs":true,"family":"Yaoguo","given":"L.","email":"","affiliations":[],"preferred":false,"id":344969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nabighian, M.N.","contributorId":62724,"corporation":false,"usgs":true,"family":"Nabighian","given":"M.N.","email":"","affiliations":[],"preferred":false,"id":344967,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, D.L.","contributorId":88758,"corporation":false,"usgs":true,"family":"Wright","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":344968,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70000364,"text":"70000364 - 2008 - Magnetic monitoring of earth and space","interactions":[],"lastModifiedDate":"2018-10-29T11:15:56","indexId":"70000364","displayToPublicDate":"2010-09-28T23:09:22","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3065,"text":"Physics Today","active":true,"publicationSubtype":{"id":10}},"title":"Magnetic monitoring of earth and space","docAbstract":"<div class=\"NLM_paragraph\">For centuries, navigators of the world’s&nbsp;oceans&nbsp;have been familiar with an<span>&nbsp;</span>effect<span>&nbsp;</span>of Earth’s<span>&nbsp;</span>magnetic field:<span>&nbsp;</span>It imparts a directional preference to the needle of a compass. Although in some settings magnetic orientation remains important, the modern science of<span>&nbsp;</span>geomagnetismhas emerged from its romantic nautical origins and developed into a subject of great depth and diversity. The<span>&nbsp;</span>geomagnetic<span>&nbsp;</span>field is used to explore the<span>&nbsp;</span>dynamics<span>&nbsp;</span>of Earth’s interior and its surrounding space environment, and<span>&nbsp;</span>geomagnetic<span>&nbsp;</span>data are used for<span>&nbsp;</span>geophysical<span>&nbsp;</span>mapping, mineral<span>&nbsp;</span>exploration,<span>&nbsp;</span>risk mitigation, and other practical applications. A global distribution of ground-based magnetic<span>&nbsp;</span>observatories<span>&nbsp;</span>supports those pursuits by providing accurate records of the magnetic-field direction and intensity at fixed locations and over long periods of time.</div><div class=\"NLM_paragraph\"><br data-mce-bogus=\"1\"></div><div class=\"NLM_paragraph\">Magnetic<span>&nbsp;</span>observatories<span>&nbsp;</span>were first established in the early<span>&nbsp;</span>19th century<span>&nbsp;</span>in response to the influence of Alexander von Humboldt and Carl Friedrich Gauss. Since then, magnetic<span>&nbsp;</span>measurement<span>&nbsp;</span>has advanced significantly, progressing from simple visual readings of magnetic survey instruments to include automatic photographic<span>&nbsp;</span>measurement<span>&nbsp;</span>and modern electronic acquisition. To satisfy the needs of the scientific community,<span>&nbsp;</span>observatories<span>&nbsp;</span>are being upgraded to collect data that meet ever more stringent standards, to achieve higher acquisition frequencies, and to disseminate data in real time.</div><div class=\"NLM_paragraph\"><br data-mce-bogus=\"1\"></div><div class=\"NLM_paragraph\">To appreciate why data from magnetic<span>&nbsp;</span>observatories<span>&nbsp;</span>can be used for so many purposes, one needs only to recall that the<span>&nbsp;</span>geomagnetic<span>&nbsp;</span>field is a continuum, connecting the different parts of Earth to each other and to nearby space. Beneath our feet and above our heads,<span>&nbsp;</span>electric currents<span>&nbsp;</span>generate<span>&nbsp;</span>magnetic fields<span>&nbsp;</span>that contribute to the totality of the<span>&nbsp;</span>geomagnetic<span>&nbsp;</span>field<span>&nbsp;</span>measured<span>&nbsp;</span>at an<span>&nbsp;</span>observatory<span>&nbsp;</span>on Earth’s<span>&nbsp;</span>surface.<span>&nbsp;</span>The many physical processes that operate in each<span>&nbsp;</span>geophysical<span>&nbsp;</span>domain give rise to a complicated field that exhibits a wide variety of time-dependent behavior.&nbsp;&nbsp;<span class=\"ref-lnk\"></span>In this article I review the status of the global community of magnetic<span>&nbsp;</span>observatories,<span>&nbsp;</span>show how Earth and space can be monitored for purposes of scientific understanding and practical application, and highlight the role played by magnetic<span>&nbsp;</span>observatories<span>&nbsp;</span>in the history of<span>&nbsp;</span>geomagnetism<span>&nbsp;</span>research.</div>","language":"English","publisher":"American Institute of Physics","doi":"10.1063/1.2883907","issn":"00319228","usgsCitation":"Love, J.J., 2008, Magnetic monitoring of earth and space: Physics Today, v. 61, no. 2, p. 31-37, https://doi.org/10.1063/1.2883907.","productDescription":"7 p.","startPage":"31","endPage":"37","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":203754,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db649318","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":345530,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70000346,"text":"70000346 - 2008 - Physical rock properties in and around a conduit zone by well-logging in the Unzen Scientific Drilling Project, Japan","interactions":[],"lastModifiedDate":"2012-03-08T17:16:37","indexId":"70000346","displayToPublicDate":"2010-09-28T23:09:22","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Physical rock properties in and around a conduit zone by well-logging in the Unzen Scientific Drilling Project, Japan","docAbstract":"The objective of the Unzen Scientific Drilling Project (USDP) is not only to reveal the structure and eruption history of the Unzen volcano but also to clarify the ascent and degassing mechanisms of the magma conduit. Conduit drilling (USDP-4) was conducted in 2004, which targeted the magma conduit for the 1990-95 eruption. The total drilled length of USDP-4 was 1995.75??m. Geophysical well logging, including resistivity, gamma-ray, spontaneous potential, sonic-wave velocity, density, neutron porosity, and Fullbore Formation MicroImager (FMI), was conducted at each drilling stage. Variations in the physical properties of the rocks were revealed by the well-log data, which correlated with not only large-scale formation boundaries but also small-scale changes in lithology. Such variations were evident in the lava dike, pyroclastic rocks, and breccias over depth intervals ranging from 1 to 40??m. These data support previous models for structure of the lava conduit, in that they indicate the existence of alternating layers of high-resistivity and high P-wave velocity rocks corresponding to the lava dikes, in proximity to narrower zones exhibiting high porosity, low resistivity, and low P-wave velocity. These narrow, low-porosity zones are presumably higher in permeability than the adjacent rocks and may form preferential conduits for degassing during magma ascent. ?? 2008 Elsevier B.V.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Volcanology and Geothermal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.jvolgeores.2008.03.036","issn":"03770273","usgsCitation":"Ikeda, R., Kajiwara, T., Omura, K., and Hickman, S., 2008, Physical rock properties in and around a conduit zone by well-logging in the Unzen Scientific Drilling Project, Japan: Journal of Volcanology and Geothermal Research, v. 175, no. 1-2, p. 13-19, https://doi.org/10.1016/j.jvolgeores.2008.03.036.","startPage":"13","endPage":"19","costCenters":[],"links":[{"id":18809,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jvolgeores.2008.03.036"},{"id":203614,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"175","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db685add","contributors":{"authors":[{"text":"Ikeda, R.","contributorId":51887,"corporation":false,"usgs":true,"family":"Ikeda","given":"R.","email":"","affiliations":[],"preferred":false,"id":345515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kajiwara, T.","contributorId":10140,"corporation":false,"usgs":true,"family":"Kajiwara","given":"T.","email":"","affiliations":[],"preferred":false,"id":345514,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Omura, K.","contributorId":8598,"corporation":false,"usgs":true,"family":"Omura","given":"K.","email":"","affiliations":[],"preferred":false,"id":345513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hickman, S.","contributorId":79995,"corporation":false,"usgs":true,"family":"Hickman","given":"S.","email":"","affiliations":[],"preferred":false,"id":345516,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70000340,"text":"70000340 - 2008 - Utilization of protein expression profiles as indicators of environmental impairment of smallmouth bass (Micropterus dolomieu) from the Shenandoah River, Virginia, USA","interactions":[],"lastModifiedDate":"2018-10-17T10:56:58","indexId":"70000340","displayToPublicDate":"2010-09-28T23:09:22","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Utilization of protein expression profiles as indicators of environmental impairment of smallmouth bass (Micropterus dolomieu) from the Shenandoah River, Virginia, USA","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>The Shenandoah River (VA, USA), the largest tributary of the Potomac River (MD, USA) and an important source of drinking water, has been the site of extensive fish kills since 2004. Previous investigations indicate environmental stressors may be adversely modulating the immune system of smallmouth bass (<i>Micropterus dolomieu</i>) and other species. Anterior kidney (AK) tissue, the major site of blood cell production in fish, was collected from smallmouth bass at three sites along the Shenandoah River. The tissue was divided for immune function and proteomics analyses. Bactericidal activity and respiratory burst were significantly different between North Fork and mainstem Shenandoah River smallmouth bass, whereas South Fork AK tissue did not significantly differ in either of these measures compared with the other sites. Cytotoxic cell activity was highest among South Fork and lowest among North Fork AK leukocytes. The composite two‐dimension gels of the North Fork and mainstem smallmouth bass AK tissues contained 584 and 591 spots, respectively. South Fork smallmouth bass AK expressed only 335 proteins. Nineteen of 50 proteins analyzed by matrix‐assisted laser desorption ionization‐time of flight were successfully identified. Three of the four identified proteins with increased expression in South Fork AK tissue were involved in metabolism. Seven proteins exclusive to mainstem and North Fork smallmouth bass AK and expressed at comparable abundances serve immune and stress response functions. The proteomics data indicate these fish differ in metabolic capacity of AK tissue and in the ability to produce functional leukocytes. The variable responses of the immune function assays further indicate disruption to the immune system. Our results allow us to hypothesize underlying physiological changes that may relate to fish kills and suggest relevant contaminants known to produce similar physiological disruption.</p></div></div>","language":"English","doi":"10.1897/07-588.1","issn":"07307268","usgsCitation":"Ripley, J., Iwanowicz, L., Blazer, V., and Foran, C., 2008, Utilization of protein expression profiles as indicators of environmental impairment of smallmouth bass (Micropterus dolomieu) from the Shenandoah River, Virginia, USA: Environmental Toxicology and Chemistry, v. 27, no. 8, p. 1756-1767, https://doi.org/10.1897/07-588.1.","productDescription":"12 p.","startPage":"1756","endPage":"1767","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":203502,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":18803,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1897/07-588.1"}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah River","volume":"27","issue":"8","noUsgsAuthors":false,"publicationDate":"2008-08-01","publicationStatus":"PW","scienceBaseUri":"4f4e4a14e4b07f02db602d43","contributors":{"authors":[{"text":"Ripley, J.","contributorId":10138,"corporation":false,"usgs":true,"family":"Ripley","given":"J.","email":"","affiliations":[],"preferred":false,"id":345487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iwanowicz, L.","contributorId":101783,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"L.","email":"","affiliations":[],"preferred":false,"id":345489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blazer, V. 0000-0001-6647-9614","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":6799,"corporation":false,"usgs":true,"family":"Blazer","given":"V.","affiliations":[],"preferred":false,"id":345486,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foran, C.","contributorId":81231,"corporation":false,"usgs":true,"family":"Foran","given":"C.","email":"","affiliations":[],"preferred":false,"id":345488,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}