{"pageNumber":"602","pageRowStart":"15025","pageSize":"25","recordCount":46681,"records":[{"id":70040456,"text":"70040456 - 2012 - A tale of two land uses in the American West: rural residential growth and energy development","interactions":[],"lastModifiedDate":"2013-03-18T16:58:21","indexId":"70040456","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2375,"text":"Journal of Maps","active":true,"publicationSubtype":{"id":10}},"title":"A tale of two land uses in the American West: rural residential growth and energy development","docAbstract":"This paper describes a spatiotemporal land use map for a rural county in the western United States. Sublette County, Wyoming has undergone recent land use change in the form of heightened rural residential development on private land and increased energy development on both public and private land. In this study we integrate energy production data, population census data, ownership parcel data, and a series of Landsat Thematic Mapper and Enhanced Thematic Mapper scenes (over a 25-year period) to create a map that illustrates the changing landscape. Spatial change on the landscape is mapped at 30 square meters, congruent with a Landsat pixel. Sublette County has a wealth of wildlife and associated habitat which is affected by both types of growth. While we do not attempt to quantify the effect of disturbance on wildlife species, we believe our results can provide important baseline data that can be incorporated into land use planning and ecological-wildlife research at the landscape scale.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Maps","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/17445647.2012.745381","usgsCitation":"Assal, T.J., and Montag, J.M., 2012, A tale of two land uses in the American West: rural residential growth and energy development: Journal of Maps, v. 8, no. 4, p. 327-333, https://doi.org/10.1080/17445647.2012.745381.","productDescription":"7 p.","startPage":"327","endPage":"333","ipdsId":"IP-041648","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":269682,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269681,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/17445647.2012.745381"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,71.4 ], [ -66.9,71.4 ], [ -66.9,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","volume":"8","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-11-19","publicationStatus":"PW","scienceBaseUri":"51483763e4b022dd171afdbf","contributors":{"authors":[{"text":"Assal, Timothy J. 0000-0001-6342-2954 assalt@usgs.gov","orcid":"https://orcid.org/0000-0001-6342-2954","contributorId":2203,"corporation":false,"usgs":true,"family":"Assal","given":"Timothy","email":"assalt@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":468355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Montag, Jessica M.","contributorId":105007,"corporation":false,"usgs":true,"family":"Montag","given":"Jessica","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":468356,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70044181,"text":"70044181 - 2012 - Kinetics of uncatalyzed thermochemical sulfate reduction by sulfur-free paraffin","interactions":[],"lastModifiedDate":"2013-06-18T15:26:00","indexId":"70044181","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Kinetics of uncatalyzed thermochemical sulfate reduction by sulfur-free paraffin","docAbstract":"To determine kinetic parameters of sulfate reduction by hydrocarbons (HC) without the initial presence of low valence sulfur, we carried out a series of isothermal gold-tube hydrous-pyrolysis experiments at 320, 340, and 360 °C under a constant confined pressure of 24.1 MPa. The reactants used consisted of saturated HC (sulfur-free) and CaSO4 in an aqueous solution buffered to three different pH conditions without the addition of elemental sulfur (S8) or H2S as initiators. H2S produced in the course of reaction was proportional to the extent of the reduction of CaSO4 that was initially the only sulfur-containing reactant. Our results show that the in situ pH of the aqueous solution (herein, in situ pH refers to the calculated pH value of the aqueous solution at certain experimental conditions) can significantly affect the rate of the thermochemical sulfate reduction (TSR) reaction. A substantial increase in the TSR reaction rate was observed with a decrease in the in situ pH.\n\nOur experimental results show that uncatalyzed TSR is a first-order reaction. The temperature dependence of experimentally measured H2S yields from sulfate reduction was fit with the Arrhenius equation. The determined activation energy for HC (sulfur-free) reacting with View the MathML sourceHSO4− in our experiments is 246.6 kJ/mol at pH values ranging from 3.0 to 3.5, which is slightly higher than the theoretical value of 227.0 kJ/mol using ab initio quantum chemical calculations on a similar reaction. Although the availability of reactive sulfate significantly affects the rate of reaction, a consistent rate constant was determined by accounting for the HSO4− ion concentration. Our experimental and theoretical approach to the determination of the kinetics of TSR is further validated by a reevaluation of several published experimental TSR datasets without the initial presence of native sulfur or H2S. When the effect of reactive sulfate concentration is appropriately accounted for, the published experimental TSR data yield kinetic parameters that are consistent with our values. Assuming MgSO4 contact-ion-pair ([MgSO4]CIP) as the reactive form of sulfate in petroleum reservoir formation waters, a simple extrapolation of our experimentally derived HSO4− reduction kinetics as a proxy for [MgSO4]CIP to geologically reasonable conditions predicts onset temperatures (130–140 °C) that are comparable to those observed in nature.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochimica et Cosmochimica Acta","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2012.08.010","usgsCitation":"Zhang, T., Ellis, G.S., Ma, Q., Amrani, A., and Tang, Y., 2012, Kinetics of uncatalyzed thermochemical sulfate reduction by sulfur-free paraffin: Geochimica et Cosmochimica Acta, v. 96, p. 1-17, https://doi.org/10.1016/j.gca.2012.08.010.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-033954","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":273953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273952,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gca.2012.08.010"}],"volume":"96","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c18167e4b0dd0e00d921db","contributors":{"authors":[{"text":"Zhang, Tongwei","contributorId":107595,"corporation":false,"usgs":true,"family":"Zhang","given":"Tongwei","affiliations":[],"preferred":false,"id":475034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":475030,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ma, Qisheng","contributorId":35219,"corporation":false,"usgs":true,"family":"Ma","given":"Qisheng","email":"","affiliations":[],"preferred":false,"id":475031,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amrani, Alon","contributorId":49258,"corporation":false,"usgs":true,"family":"Amrani","given":"Alon","email":"","affiliations":[],"preferred":false,"id":475032,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tang, Yongchun","contributorId":103166,"corporation":false,"usgs":true,"family":"Tang","given":"Yongchun","affiliations":[],"preferred":false,"id":475033,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70044071,"text":"70044071 - 2012 - Effects of supplemental feeding and aggregation on fecal glucocorticoid metabolite concentrations in elk","interactions":[],"lastModifiedDate":"2013-05-09T11:56:16","indexId":"70044071","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects of supplemental feeding and aggregation on fecal glucocorticoid metabolite concentrations in elk","docAbstract":"Habitat modifications and supplemental feeding artificially aggregate some wildlife populations, with potential impacts upon contact and parasite transmission rates. Less well recognized, however, is how increased aggregation may affect wildlife physiology. Crowding has been shown to induce stress responses, and increased glucocorticoid (GC) concentrations can reduce immune function and increase disease susceptibility. We investigated the effects of supplemental feeding and the aggregation that it induces on behavior and fecal glucocorticoid metabolite concentrations (fGCM) in elk (Cervus elaphus) using observational and experimental approaches. We first compared fGCM levels of elk on supplemental feedgrounds to neighboring elk populations wintering in native habitats using data from 2003 to 2008. We then experimentally manipulated the distribution of supplemental food on feedgrounds to investigate whether more widely distributed food would result in lower rates of aggression and stress hormone levels. Contrary to some expectations that fed elk may be less stressed than unfed elk during the winter, we found that elk on feedgrounds had fecal GC levels at least 31% higher than non-feedground populations. Within feedgrounds, fGCM levels were strongly correlated with local measures of elk density (r2 = 0.81). Dispersing feed more broadly, however, did not have a detectable effect on fGCM levels or aggression rates. Our results suggest that increases in aggregation associated with winter feedgrounds affects elk physiology, and the resulting increases in fGCM levels are not likely to be mitigated by management efforts that distribute the feed more widely. Additional research is needed to assess whether these increases in fGCMs directly alter parasite transmission and disease dynamics.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.312","usgsCitation":"Forristal, V.E., Creel, S., Taper, M.L., Scurlock, B.M., and Cross, P.C., 2012, Effects of supplemental feeding and aggregation on fecal glucocorticoid metabolite concentrations in elk: Journal of Wildlife Management, v. 76, no. 4, p. 76-4, https://doi.org/10.1002/jwmg.312.","productDescription":"9 p.","startPage":"76","endPage":"4","ipdsId":"IP-014086","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":272136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272135,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.312"}],"volume":"76","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-12-07","publicationStatus":"PW","scienceBaseUri":"518cc567e4b05ebc8f7cc140","contributors":{"authors":[{"text":"Forristal, Victoria E.","contributorId":32062,"corporation":false,"usgs":true,"family":"Forristal","given":"Victoria","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":474774,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Creel, Scott","contributorId":15089,"corporation":false,"usgs":true,"family":"Creel","given":"Scott","affiliations":[],"preferred":false,"id":474773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taper, Mark L.","contributorId":105192,"corporation":false,"usgs":true,"family":"Taper","given":"Mark","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":474776,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scurlock, Brandon M.","contributorId":93788,"corporation":false,"usgs":false,"family":"Scurlock","given":"Brandon","email":"","middleInitial":"M.","affiliations":[{"id":6917,"text":"Wyoming Game and Fish Department, Laramie, USA","active":true,"usgs":false}],"preferred":false,"id":474775,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":474772,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70045496,"text":"70045496 - 2012 - A Gibbs sampler for Bayesian analysis of site-occupancy data","interactions":[],"lastModifiedDate":"2013-04-19T21:15:12","indexId":"70045496","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"A Gibbs sampler for Bayesian analysis of site-occupancy data","docAbstract":"1. A Bayesian analysis of site-occupancy data containing covariates of species occurrence and species detection probabilities is usually completed using Markov chain Monte Carlo methods in conjunction with software programs that can implement those methods for any statistical model, not just site-occupancy models. Although these software programs are quite flexible, considerable experience is often required to specify a model and to initialize the Markov chain so that summaries of the posterior distribution can be estimated efficiently and accurately.\n\n2. As an alternative to these programs, we develop a Gibbs sampler for Bayesian analysis of site-occupancy data that include covariates of species occurrence and species detection probabilities. This Gibbs sampler is based on a class of site-occupancy models in which probabilities of species occurrence and detection are specified as probit-regression functions of site- and survey-specific covariate measurements.\n\n3. To illustrate the Gibbs sampler, we analyse site-occupancy data of the blue hawker, Aeshna cyanea (Odonata, Aeshnidae), a common dragonfly species in Switzerland. Our analysis includes a comparison of results based on Bayesian and classical (non-Bayesian) methods of inference. We also provide code (based on the R software program) for conducting Bayesian and classical analyses of site-occupancy data.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Methods in Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.2041-210X.2012.00237.x","usgsCitation":"Dorazio, R.M., and Rodriguez, D.T., 2012, A Gibbs sampler for Bayesian analysis of site-occupancy data: Methods in Ecology and Evolution, v. 3, no. 6, p. 1093-1098, https://doi.org/10.1111/j.2041-210X.2012.00237.x.","productDescription":"6 p.","startPage":"1093","endPage":"1098","ipdsId":"IP-037612","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":474173,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.2041-210x.2012.00237.x","text":"Publisher Index Page"},{"id":271274,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.2041-210X.2012.00237.x"},{"id":271275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-08-20","publicationStatus":"PW","scienceBaseUri":"51726763e4b0c173799e78fe","contributors":{"authors":[{"text":"Dorazio, Robert M. 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":1668,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":477638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Daniel Taylor","contributorId":76619,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Daniel","email":"","middleInitial":"Taylor","affiliations":[],"preferred":false,"id":477639,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70044028,"text":"70044028 - 2012 - Minimum distribution of subsea ice-bearing permafrost on the US Beaufort Sea continental shelf","interactions":[],"lastModifiedDate":"2013-06-27T10:39:50","indexId":"70044028","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","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":"Minimum distribution of subsea ice-bearing permafrost on the US Beaufort Sea continental shelf","docAbstract":"Starting in Late Pleistocene time (~19 ka), sea level rise inundated coastal zones worldwide. On some parts of the present-day circum-Arctic continental shelf, this led to flooding and thawing of formerly subaerial permafrost and probable dissociation of associated gas hydrates. Relict permafrost has never been systematically mapped along the 700-km-long U.S. Beaufort Sea continental shelf and is often assumed to extend to ~120 m water depth, the approximate amount of sea level rise since the Late Pleistocene. Here, 5,000 km of multichannel seismic (MCS) data acquired between 1977 and 1992 were examined for high-velocity (>2.3 km s−1) refractions consistent with ice-bearing, coarse-grained sediments. Permafrost refractions were identified along <5% of the tracklines at depths of ~5 to 470 m below the seafloor. The resulting map reveals the minimum extent of subsea ice-bearing permafrost, which does not extend seaward of 30 km offshore or beyond the 20 m isobath.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1029/2012GL052222","usgsCitation":"Brothers, L., Hart, P.E., and Ruppel, C., 2012, Minimum distribution of subsea ice-bearing permafrost on the US Beaufort Sea continental shelf: Geophysical Research Letters, v. 39, no. 15, L15501, https://doi.org/10.1029/2012GL052222.","productDescription":"L15501","ipdsId":"IP-035632","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474144,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/5375","text":"External Repository"},{"id":274270,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274269,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012GL052222"}],"otherGeospatial":"Beaufort Sea","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.1,66.3 ], [ -156.1,74.7 ], [ -104.0,74.7 ], [ -104.0,66.3 ], [ -156.1,66.3 ] ] ] } } ] }","volume":"39","issue":"15","noUsgsAuthors":false,"publicationDate":"2012-08-07","publicationStatus":"PW","scienceBaseUri":"51cd5ee2e4b0e7a904971bd2","contributors":{"authors":[{"text":"Brothers, Laura L.","contributorId":96132,"corporation":false,"usgs":true,"family":"Brothers","given":"Laura L.","affiliations":[],"preferred":false,"id":474662,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":474661,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruppel, Carolyn D.","contributorId":102322,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn D.","affiliations":[],"preferred":false,"id":474663,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70041886,"text":"70041886 - 2012 - Habitat use by fishes of Lake Superior. I. Diel patterns of habitat use in nearshore and offshore waters of the Apostle Islands region","interactions":[],"lastModifiedDate":"2017-10-20T11:17:44","indexId":"70041886","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":865,"text":"Aquatic Ecosystem Health & Management","active":true,"publicationSubtype":{"id":10}},"title":"Habitat use by fishes of Lake Superior. I. Diel patterns of habitat use in nearshore and offshore waters of the Apostle Islands region","docAbstract":"

Diel patterns of distribution of fishes in nearshore (15–80 m depth) and offshore (>80 m) waters of the Apostle Islands region of Lake Superior were described using bottom trawls, mid-water trawls, and acoustic gear during day and night sampling. These data revealed three types of diel migration: diel vertical migration (DVM), diel bank migration (DBM), and no migration. DVM was expressed by fishes migrating from benthopelagic to pelagic strata and DBM was expressed by fishes migrating horizontally from deeper waters in the day to shallower waters at night while remaining within the benthopelagic stratum. Most fishes that did not exhibit diel migration showed increased nighttime densities as a result of increased activity and movement from benthic to benthopelagic strata. Rainbow Smelt (Osmerus mordax), Cisco (Coregonus artedi), Bloater (C. hoyi), Kiyi (C. kiyi), juvenile Trout-Perch (Percopsis omiscomaycus), and adult siscowet (Salvelinus namaycush siscowet) exhibited DVM. Lake Whitefish (C. clupeaformis), lean Lake Trout (Salvelinus namaycush namaycush), and juvenile siscowet exhibited DBM. Adult Trout-Perch and adult Pygmy Whitefish (Prosopium coulteri) exhibited a mixture of DBM and DVM. Burbot (Lota lota), Slimy Sculpin (Cottus cognatus), Spoonhead Sculpin (C. ricei), and Deepwater Sculpin (Myoxocephalus thompsonii) did not exhibit diel migration, but showed evidence of increased nocturnal activity. Ninespine Stickleback (Pungitius pungitius) exhibited a mixture of DVM and non-migration. Juvenile Pygmy Whitefish did not show a diel change in density or depth distribution. Species showing ontogenetic shifts in depth distribution with larger, adult life stages occupying deeper waters included, Rainbow Smelt, lean and siscowet Lake Trout, Lake Whitefish, Pygmy Whitefish, Ninespine Stickleback and Trout-Perch. Of these species, siscowet also showed an ontogenetic shift from primarily DBM as juveniles to primarily DVM as adults. Across all depths, fishes expressing DVM accounted for 73% of the total estimated community areal biomass (kg ha−1) while those expressing DBM accounted for 25% and non-migratory species represented 2% of the biomass. The proportion of total community biomass exhibiting DVM increased with depth, from 59% to 95% across ≤30 m to >90 m depth zones. Along the same depth gradient, the proportion of total community biomass exhibiting DBM declined from 40% to 1%, while non-migrators increased from 1% to 4%. These results indicate that DVM and DBM behaviors are pervasive in the Lake Superior fish community and potentially provide strong linkages that effect coupling of benthic and pelagic and nearshore and offshore habitats.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/14634988.2012.715972","usgsCitation":"Gorman, O.T., Yule, D., and Stockwell, J., 2012, Habitat use by fishes of Lake Superior. I. 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T.","contributorId":104605,"corporation":false,"usgs":true,"family":"Gorman","given":"O.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":470310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yule, D.L.","contributorId":78853,"corporation":false,"usgs":true,"family":"Yule","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":470309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockwell, J.D.","contributorId":19678,"corporation":false,"usgs":true,"family":"Stockwell","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":470308,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70045123,"text":"70045123 - 2012 - Comparison of soil thickness in a zero-order basin in the Oregon Coast Range using a soil probe and electrical resistivity tomography","interactions":[],"lastModifiedDate":"2018-03-08T15:55:19","indexId":"70045123","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2327,"text":"Journal of Geotechnical and Geoenvironmental Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of soil thickness in a zero-order basin in the Oregon Coast Range using a soil probe and electrical resistivity tomography","docAbstract":"Accurate estimation of the soil thickness distribution in steepland drainage basins is essential for understanding ecosystem and subsurface response to infiltration. One important aspect of this characterization is assessing the heavy and antecedent rainfall conditions that lead to shallow landsliding. In this paper, we investigate the direct current (DC) resistivity method as a tool for quickly estimating soil thickness over a steep (33–40°) zero-order basin in the Oregon Coast Range, a landslide prone region. Point measurements throughout the basin showed bedrock depths between 0.55 and 3.2 m. Resistivity of soil and bedrock samples collected from the site was measured for degrees of saturation between 40 and 92%. Resistivity of the soil was typically higher than that of the bedrock for degrees of saturation lower than 70%. Results from the laboratory measurements and point-depth measurements were used in a numerical model to evaluate the resistivity contrast at the soil-bedrock interface. A decreasing-with-depth resistivity contrast was apparent at the interface in the modeling results. At the field site, three transects were surveyed where coincident ground truth measurements of bedrock depth were available, to test the accuracy of the method. The same decreasing-with-depth resistivity trend that was apparent in the model was also present in the survey data. The resistivity contour of between 1,000 and 2,000 Ωm that marked the top of the contrast was our interpreted bedrock depth in the survey data. Kriged depth-to-bedrock maps were created from both the field-measured ground truth obtained with a soil probe and interpreted depths from the resistivity tomography, and these were compared for accuracy graphically. Depths were interpolated as far as 16.5 m laterally from the resistivity survey lines with root mean squared error (RMSE) = 27 cm between the measured and interpreted depth at those locations. Using several transects and analysis of the subsurface material properties, the direct current (DC) resistivity method is shown to be able to delineate bedrock depth trends within the drainage basin.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geotechnical and Geoenvironmental Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ASCE","doi":"10.1061/(ASCE)GT.1943-5606.0000717","usgsCitation":"Morse, M.S., Lu, N., Godt, J.W., Revil, A., and Coe, J.A., 2012, Comparison of soil thickness in a zero-order basin in the Oregon Coast Range using a soil probe and electrical resistivity tomography: Journal of Geotechnical and Geoenvironmental Engineering, v. 138, no. 12, p. 1470-1482, https://doi.org/10.1061/(ASCE)GT.1943-5606.0000717.","productDescription":"13 p.","startPage":"1470","endPage":"1482","ipdsId":"IP-036774","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":272205,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272204,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)GT.1943-5606.0000717"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.61,42.0 ], [ -124.61,46.29 ], [ -116.46,46.29 ], [ -116.46,42.0 ], [ -124.61,42.0 ] ] ] } } ] }","volume":"138","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5215e4b0b290850f4510","contributors":{"authors":[{"text":"Morse, Michael S.","contributorId":66987,"corporation":false,"usgs":true,"family":"Morse","given":"Michael","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":476873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Ning","contributorId":191360,"corporation":false,"usgs":false,"family":"Lu","given":"Ning","email":"","affiliations":[{"id":12620,"text":"U.S. Army Corp. of Engineers","active":true,"usgs":false}],"preferred":false,"id":476872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":476869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Revil, André","contributorId":38879,"corporation":false,"usgs":true,"family":"Revil","given":"André","affiliations":[],"preferred":false,"id":476871,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":476870,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70043572,"text":"70043572 - 2012 - Carbon dioxide stripping in aquaculture -- part III: model verification","interactions":[],"lastModifiedDate":"2013-03-25T15:31:14","indexId":"70043572","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":852,"text":"Aquacultural Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Carbon dioxide stripping in aquaculture -- part III: model verification","docAbstract":"Based on conventional mass transfer models developed for oxygen, the use of the non-linear ASCE method, 2-point method, and one parameter linear-regression method were evaluated for carbon dioxide stripping data. For values of KLaCO2 < approximately 1.5/h, the 2-point or ASCE method are a good fit to experimental data, but the fit breaks down at higher values of KLaCO2. How to correct KLaCO2 for gas phase enrichment remains to be determined. The one-parameter linear regression model was used to vary the C*CO2 over the test, but it did not result in a better fit to the experimental data when compared to the ASCE or fixed C*CO2 assumptions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aquacultural Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.aquaeng.2011.12.007","usgsCitation":"Colt, J., Watten, B., and Pfeiffer, T., 2012, Carbon dioxide stripping in aquaculture -- part III: model verification: Aquacultural Engineering, v. 47, p. 47-59, https://doi.org/10.1016/j.aquaeng.2011.12.007.","productDescription":"13 p.","startPage":"47","endPage":"59","ipdsId":"IP-036708","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":270025,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270023,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.aquaeng.2011.12.007"}],"volume":"47","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515171e4e4b087909f0bbe71","contributors":{"authors":[{"text":"Colt, John","contributorId":63695,"corporation":false,"usgs":true,"family":"Colt","given":"John","email":"","affiliations":[],"preferred":false,"id":473862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watten, Barnaby 0000-0002-2227-8623","orcid":"https://orcid.org/0000-0002-2227-8623","contributorId":97788,"corporation":false,"usgs":true,"family":"Watten","given":"Barnaby","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":473863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pfeiffer, Tim","contributorId":34792,"corporation":false,"usgs":true,"family":"Pfeiffer","given":"Tim","email":"","affiliations":[],"preferred":false,"id":473861,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70043577,"text":"70043577 - 2012 - Assessing sloth bears as surrogates for carnivore conservation in Sri Lanka","interactions":[],"lastModifiedDate":"2013-03-25T14:17:22","indexId":"70043577","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3671,"text":"Ursus","active":true,"publicationSubtype":{"id":10}},"title":"Assessing sloth bears as surrogates for carnivore conservation in Sri Lanka","docAbstract":"Bears are large, charismatic mammals whose presence often garners conservation attention. Because healthy bear populations typically require large, contiguous areas of habitat, land conservation actions often are assumed to benefit co-occurring species, including other mammalian carnivores. However, we are not aware of an empirical test of this assumption. We used remote camera data from 2 national parks in Sri Lanka to test the hypothesis that the frequency of detection of sloth bears (Melursus ursinus) is associated with greater richness of carnivore species. We focused on mammalian carnivores because they play a pivotal role in the stability of ecological communities and are among Sri Lanka's most endangered species. Seven of Sri Lanka's carnivores are listed as endangered, vulnerable, or near threatened, and little empirical information exists on their status and distribution. During 2002–03, we placed camera traps at 152 sites to document carnivore species presence. We used Poisson regression to develop predictive models for 3 categories of dependent variables: species richness of (1) all carnivores, (2) carnivores considered at risk, and (3) carnivores of least conservation concern. For each category, we analyzed 8 a priori models based on combinations of sloth bear detections, sample year, and study area and used Akaike's information criterion (AICc) to test our research hypothesis. We detected sloth bears at 55 camera sites and detected 13 of Sri Lanka's 14 Carnivora species. Species richness of all carnivores showed positive associations with the number of sloth bear detections, regardless of study area. Sloth bear detections were also positively associated with species richness of carnivores at risk across both study years and study areas, but not with species richness of common carnivores. Sloth bears may serve as a valuable surrogate species whose habitat protection would contribute to conservation of other carnivores in Sri Lanka.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ursus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Association for Bear Research and Management","publisherLocation":"http://www.bearbiology.com/","doi":"10.2192/URSUS-D-11-00029.1","usgsCitation":"Ratnayeke, S., and van Manen, F., 2012, Assessing sloth bears as surrogates for carnivore conservation in Sri Lanka: Ursus, v. 23, no. 2, p. 206-217, https://doi.org/10.2192/URSUS-D-11-00029.1.","productDescription":"12 p.","startPage":"206","endPage":"217","ipdsId":"IP-040752","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":270016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270015,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2192/URSUS-D-11-00029.1"}],"country":"Sri Lanka","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 79.6289,5.9191 ], [ 79.6289,9.8359 ], [ 81.8787,9.8359 ], [ 81.8787,5.9191 ], [ 79.6289,5.9191 ] ] ] } } ] }","volume":"23","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515171e2e4b087909f0bbe67","contributors":{"authors":[{"text":"Ratnayeke, Shyamala","contributorId":40873,"corporation":false,"usgs":true,"family":"Ratnayeke","given":"Shyamala","affiliations":[],"preferred":false,"id":473876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Manen, Frank T.","contributorId":51172,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank T.","affiliations":[],"preferred":false,"id":473877,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70044817,"text":"70044817 - 2012 - Exploration review","interactions":[],"lastModifiedDate":"2013-04-29T08:58:39","indexId":"70044817","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Exploration review","docAbstract":"This summary of international mineral exploration activities for the year 2011 draws upon available information from industry sources, published literature and U.S. Geological Survey (USGS) specialists. This summary provides data on exploration budgets by region and mineral commodity, identifies significant mineral discoveries and areas of mineral exploration, discusses government programs affecting the mineral exploration industry and presents surveys returned by companies primarily focused on precious (gold, platinum-group metals and silver) and base (copper, lead, nickel and zinc) metals.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Wilburn, D., Rapstine, T., and Lee, E., 2012, Exploration review: Mining Engineering, v. 64, no. 5, p. 40-60.","productDescription":"21 p.","startPage":"40","endPage":"60","ipdsId":"IP-036880","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":271593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"64","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517f9668e4b0e41721f7a350","contributors":{"authors":[{"text":"Wilburn, D.R.","contributorId":98911,"corporation":false,"usgs":true,"family":"Wilburn","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":476364,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rapstine, T.D.","contributorId":60103,"corporation":false,"usgs":true,"family":"Rapstine","given":"T.D.","email":"","affiliations":[],"preferred":false,"id":476363,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, E.C.","contributorId":16191,"corporation":false,"usgs":true,"family":"Lee","given":"E.C.","email":"","affiliations":[],"preferred":false,"id":476362,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70042783,"text":"sir20125279 - 2012 - Quality of streams in Johnson County, Kansas, 2002--10","interactions":[],"lastModifiedDate":"2013-01-23T14:46:07","indexId":"sir20125279","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5279","title":"Quality of streams in Johnson County, Kansas, 2002--10","docAbstract":"Stream quality in Johnson County, northeastern Kansas, was assessed on the basis of land use, hydrology, stream-water and streambed-sediment chemistry, riparian and in-stream habitat, and periphyton and macroinvertebrate community data collected from 22 sites during 2002 through 2010. Stream conditions at the end of the study period are evaluated and compared to previous years, stream biological communities and physical and chemical conditions are characterized, streams are described relative to Kansas Department of Health and Environment impairment categories and water-quality standards, and environmental factors that most strongly correlate with biological stream quality are evaluated. The information is useful for improving water-quality management programs, documenting changing conditions with time, and evaluating compliance with water-quality standards, total maximum daily loads (TMDLs), National Pollutant Discharge Elimination System (NPDES) permit conditions, and other established guidelines and goals. Constituent concentrations in water during base flow varied across the study area and 2010 conditions were not markedly different from those measured in 2003, 2004, and 2007. Generally the highest specific conductance and concentrations of dissolved solids and major ions in water occurred at urban sites except the upstream Cedar Creek site, which is rural and has a large area of commercial and industrial land less than 1 mile upstream on both sides of the creek. The highest base-flow nutrient concentrations in water occurred downstream from wastewater treatment facilities. Water chemistry data represent base-flow conditions only, and do not show the variability in concentrations that occurs during stormwater runoff. Constituent concentrations in streambed sediment also varied across the study area and some notable changes occurred from previously collected data. High organic carbon and nutrient concentrations at the rural Big Bull Creek site in 2003 decreased to at least one-fourth of those concentrations in 2007 and 2010 likely because of the reduction in upstream wastewater discharge contributions. The highest concentrations of trace metals in 2010 occurred at urban sites on Mill and Indian Creeks. Zinc was the only metal to exceed the probable effects concentration in 2010, which occurred at a site on Indian Creek. In 2007, chromium and nickel at the upstream urban Cedar Creek site exceeded the probable effects concentrations, and in 2003, no metals exceeded the probable effects concentrations. Of 72 organic compounds analyzed in streambed sediment, 26 were detected including pesticides, polycyclic aromatic hydrocarbons (PAHs), fuel products, fragrances, preservatives, plasticizers, manufacturing byproducts, flame retardants, and disinfectants. All 6 PAH compounds analyzed were detected, and the probable effects concentrations for 4 of the 6 PAH compounds analyzed were exceeded in 2010. Only five pesticide compounds were detected in streambed sediment, including carbazole and four pyrethroid compounds. Chronic toxicity guidelines for pyrethroid compounds were exceeded at five sites. Biological conditions reflected a gradient in urban land use, with the less disturbed streams located in rural areas of Johnson County. About 19 percent of sites in 2010 (four sites) were fully supporting of aquatic life on the basis of the four metrics used by Kansas Department of Health and Environment to categorize sites. This is a notable difference compared to previous years when no sites (in 2003 and 2004) or just one site (in 2007) was fully supporting of aquatic life. Multimetric macroinvertebrate scores improved at the Big Bull Creek site where wastewater discharges were reduced in 2007. Environmental variables that consistently were highly negatively correlated with biological conditions were percent impervious surface and percent urban land use. In addition, density of stormwater outfall points adjacent to streams was significantly negatively correlated with biological conditions. Specific conductance of water and sum of PAH concentrations in streambed sediment also were significantly negatively correlated with biological conditions. Total nitrogen in water and total phosphorus in streambed sediment were correlated with most of the invertebrate variables, which is a notable difference from previous analyses using smaller datasets, in which nutrient relations were weak or not detected. The most important habitat variables were sinuosity, length and continuity of natural buffers, riffle substrate embeddedness, and substrate cover diversity, each of which was correlated with all invertebrate metrics including a 10-metric combined score. Correlation analysis indicated that if riparian and in-stream habitat conditions improve then so might invertebrate communities and stream biological quality. Sixty-two percent of the variance in macroinvertebrate community metrics was explained by the single environmental factor, percent impervious surface. Invertebrate responses to urbanization in Johnson County indicated linearity rather than identifiable thresholds. Multiple linear regression models developed for each of the four macroinvertebrate metrics used to determine aquatic-life-support status indicated that percent impervious surface, as a measure of urban land use, explained 34 to 67 percent of the variability in biological communities. Results indicate that although multiple factors are correlated with stream quality degradation, general urbanization, as indicated by impervious surface area or urban land use, consistently is determined to be the fundamental factor causing change in stream quality. Effects of urbanization on Johnson County streams are similar to effects described in national studies that assess effects of urbanization on stream health. Individually important environmental factors such as specific conductance of water, PAHs in streambed sediment, and stream buffer conditions, are affected by urbanization and, collectively, all contribute to stream impairments. Policies and management practices that may be most important in protecting the health of streams in Johnson County are those minimizing the effects of impervious surface, protecting stream corridors, and decreasing the loads of sediment, nutrients, and toxic chemicals that directly enter streams through stormwater runoff and discharges.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125279","collaboration":"Prepared in cooperation with the Johnson County Stormwater Management Program","usgsCitation":"Rasmussen, T.J., Stone, M.S., Poulton, B.C., and Graham, J.L., 2012, Quality of streams in Johnson County, Kansas, 2002--10: U.S. Geological Survey Scientific Investigations Report 2012-5279, vii, 103 p.; col. ill.; maps (col.), https://doi.org/10.3133/sir20125279.","productDescription":"vii, 103 p.; col. ill.; maps (col.)","startPage":"i","endPage":"103","numberOfPages":"116","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2002-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":266322,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5279/sir12_5279.pdf"},{"id":266320,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5279/"},{"id":266323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/SIR_2012_5279.GIF"}],"country":"United States","state":"Kansas","county":"Johnson County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.0565,38.7376 ], [ -95.0565,39.0616 ], [ -94.6074,39.0616 ], [ -94.6074,38.7376 ], [ -95.0565,38.7376 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5101147be4b033b1feeb2c08","contributors":{"authors":[{"text":"Rasmussen, Teresa J. 0000-0002-7023-3868 rasmuss@usgs.gov","orcid":"https://orcid.org/0000-0002-7023-3868","contributorId":3336,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Teresa","email":"rasmuss@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":472256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, Mandy S.","contributorId":97791,"corporation":false,"usgs":true,"family":"Stone","given":"Mandy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":472257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulton, Barry C. 0000-0002-7219-4911 bpoulton@usgs.gov","orcid":"https://orcid.org/0000-0002-7219-4911","contributorId":2421,"corporation":false,"usgs":true,"family":"Poulton","given":"Barry","email":"bpoulton@usgs.gov","middleInitial":"C.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":472255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472254,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70045127,"text":"70045127 - 2012 - Data quality of seismic records from the Tohoku, Japan earthquake as recorded across the Albuquerque Seismological Laboratory networks","interactions":[],"lastModifiedDate":"2020-09-14T15:22:55.128523","indexId":"70045127","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Data quality of seismic records from the Tohoku, Japan earthquake as recorded across the Albuquerque Seismological Laboratory networks","docAbstract":"Great earthquakes recorded across modern digital seismographic networks, such as the recent Tohoku, Japan, earthquake on 11 March 2011 (Mw = 9.0), provide unique datasets that ultimately lead to a better understanding of the Earth's structure (e.g., Pesicek et al. 2008) and earthquake sources (e.g., Ammon et al. 2011). For network operators, such events provide the opportunity to look at the performance across their entire network using a single event, as the ground motion records from the event will be well above every station's noise floor.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/gssrl.83.3.575","usgsCitation":"Ringler, A., Gee, L., Marshall, B., Hutt, C., and Storm, T., 2012, Data quality of seismic records from the Tohoku, Japan earthquake as recorded across the Albuquerque Seismological Laboratory networks: Seismological Research Letters, v. 83, no. 3, p. 575-584, https://doi.org/10.1785/gssrl.83.3.575.","productDescription":"10 p.","startPage":"575","endPage":"584","ipdsId":"IP-037136","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":270461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-05-04","publicationStatus":"PW","scienceBaseUri":"515bfde5e4b075500ee5ca35","contributors":{"authors":[{"text":"Ringler, A. T. 0000-0002-9839-4188","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":99282,"corporation":false,"usgs":true,"family":"Ringler","given":"A. T.","affiliations":[],"preferred":false,"id":476891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gee, L.S.","contributorId":37980,"corporation":false,"usgs":true,"family":"Gee","given":"L.S.","email":"","affiliations":[],"preferred":false,"id":476889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marshall, B.","contributorId":107163,"corporation":false,"usgs":true,"family":"Marshall","given":"B.","affiliations":[],"preferred":false,"id":476892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hutt, C. R. 0000-0001-9033-9195","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":61910,"corporation":false,"usgs":true,"family":"Hutt","given":"C. R.","affiliations":[],"preferred":false,"id":476890,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Storm, T.","contributorId":15454,"corporation":false,"usgs":true,"family":"Storm","given":"T.","email":"","affiliations":[],"preferred":false,"id":476888,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70042757,"text":"70042757 - 2012 - Why the 2002 Denali fault rupture propagated onto the Totschunda fault: implications for fault branching and seismic hazards","interactions":[],"lastModifiedDate":"2013-03-26T16:17:42","indexId":"70042757","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Why the 2002 Denali fault rupture propagated onto the Totschunda fault: implications for fault branching and seismic hazards","docAbstract":"The propagation of the rupture of the Mw7.9 Denali fault earthquake from the central Denali fault onto the Totschunda fault has provided a basis for dynamic models of fault branching in which the angle of the regional or local prestress relative to the orientation of the main fault and branch plays a principal role in determining which fault branch is taken. GeoEarthScope LiDAR and paleoseismic data allow us to map the structure of the Denali-Totschunda fault intersection and evaluate controls of fault branching from a geological perspective. LiDAR data reveal the Denali-Totschunda fault intersection is structurally simple with the two faults directly connected. At the branch point, 227.2 km east of the 2002 epicenter, the 2002 rupture diverges southeast to become the Totschunda fault. We use paleoseismic data to propose that differences in the accumulated strain on each fault segment, which express differences in the elapsed time since the most recent event, was one important control of the branching direction. We suggest that data on event history, slip rate, paleo offsets, fault geometry and structure, and connectivity, especially on high slip rate-short recurrence interval faults, can be used to assess the likelihood of branching and its direction. Analysis of the Denali-Totschunda fault intersection has implications for evaluating the potential for a rupture to propagate across other types of fault intersections and for characterizing sources of future large earthquakes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","publisherLocation":"Washington, D.C.","doi":"10.1029/2011JB008918","usgsCitation":"Schwartz, D.P., Haeussler, P.J., Seitz, G., and Dawson, T.E., 2012, Why the 2002 Denali fault rupture propagated onto the Totschunda fault: implications for fault branching and seismic hazards: Journal of Geophysical Research B: Solid Earth, v. 117, no. B11, B11304, https://doi.org/10.1029/2011JB008918.","productDescription":"B11304","ipdsId":"IP-032223","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":474132,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011jb008918","text":"Publisher Index Page"},{"id":270223,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270222,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011JB008918"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,51.2 ], [ 172.5,71.4 ], [ -130.0,71.4 ], [ -130.0,51.2 ], [ 172.5,51.2 ] ] ] } } ] }","volume":"117","issue":"B11","noUsgsAuthors":false,"publicationDate":"2012-11-15","publicationStatus":"PW","scienceBaseUri":"5152c3bce4b01197b08e9d2b","contributors":{"authors":[{"text":"Schwartz, David P. 0000-0001-5193-9200 dschwartz@usgs.gov","orcid":"https://orcid.org/0000-0001-5193-9200","contributorId":1940,"corporation":false,"usgs":true,"family":"Schwartz","given":"David","email":"dschwartz@usgs.gov","middleInitial":"P.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":472173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":472172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seitz, Gordon G.","contributorId":17303,"corporation":false,"usgs":false,"family":"Seitz","given":"Gordon G.","affiliations":[{"id":7099,"text":"Calif. Geol. Survey","active":true,"usgs":false}],"preferred":false,"id":472174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dawson, Timothy E.","contributorId":24429,"corporation":false,"usgs":false,"family":"Dawson","given":"Timothy","email":"","middleInitial":"E.","affiliations":[{"id":7099,"text":"Calif. Geol. Survey","active":true,"usgs":false}],"preferred":false,"id":472175,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70043594,"text":"70043594 - 2012 - Effects of hurricanes Katrina and Rita on Louisiana black bear habitat","interactions":[],"lastModifiedDate":"2013-04-17T21:19:08","indexId":"70043594","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3671,"text":"Ursus","active":true,"publicationSubtype":{"id":10}},"title":"Effects of hurricanes Katrina and Rita on Louisiana black bear habitat","docAbstract":"The Louisiana black bear (Ursus americanus luteolus) is comprised of 3 subpopulations, each being small, geographically isolated, and vulnerable to extinction. Hurricanes Katrina and Rita struck the Louisiana and Mississippi coasts in 2005, potentially altering habitat occupied by this federally threatened subspecies. We used data collected on radio-telemetered bears from 1993 to 1995 and pre-hurricane landscape data to develop a habitat model based on the Mahalanobis distance (D2) statistic. We then applied that model to post-hurricane landscape data where the telemetry data were collected (i.e., occupied study area) and where bear range expansion might occur (i.e., unoccupied study area) to quantify habitat loss or gain. The D2 model indicated that quality bear habitat was associated with areas of high mast-producing forest density, low water body density, and moderate forest patchiness. Cross-validation and testing on an independent data set in central Louisiana indicated that prediction and transferability of the model were good. Suitable bear habitat decreased from 348 to 345 km2 (0.9%) within the occupied study area and decreased from 34,383 to 33,891 km2 (1.4%) in the unoccupied study area following the hurricanes. Our analysis indicated that bear habitat was not significantly degraded by the hurricanes, although changes that could have occurred on a microhabitat level would be more difficult to detect at the resolution we used. We suggest that managers continue to monitor the possible long-term effects of these hurricanes (e.g., vegetation changes from flooding, introduction of toxic chemicals, or water quality changes).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ursus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"BioOne","doi":"10.2192/URSUS-D-11-00032.1","usgsCitation":"Clark, J.D., and Murrow, J.L., 2012, Effects of hurricanes Katrina and Rita on Louisiana black bear habitat: Ursus, v. 23, no. 2, p. 192-205, https://doi.org/10.2192/URSUS-D-11-00032.1.","startPage":"192","endPage":"205","ipdsId":"IP-038563","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":271044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271043,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2192/URSUS-D-11-00032.1"}],"country":"United States","state":"Louisiana","volume":"23","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"516fc463e4b05024ef3cd3f2","contributors":{"authors":[{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murrow, Jennifer L.","contributorId":92945,"corporation":false,"usgs":true,"family":"Murrow","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":473930,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70042748,"text":"70042748 - 2012 - Exploring the Earth's crust: History and results of controlled-source seismology","interactions":[],"lastModifiedDate":"2020-04-17T14:09:36.604527","indexId":"70042748","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":176,"text":"GSA Memoir","active":false,"publicationSubtype":{"id":3}},"seriesNumber":"208","title":"Exploring the Earth's crust: History and results of controlled-source seismology","docAbstract":"This volume contains a comprehensive, worldwide history of seismological studies of the Earth’s crust using controlled sources from 1850 to 2005. Essentially all major seismic projects on land and the most important oceanic projects are covered. The time period 1850 to 1939 is presented as a general synthesis, and from 1940 onward the history and results are presented in separate chapters for each decade, with the material organized by geographical region. Each chapter highlights the major advances achieved during that decade in terms of data acquisition, processing technology, and interpretation methods. For all major seismic projects, the authors provide specific details on field observations, interpreted crustal cross sections, and key references. They conclude with global and continental-scale maps of all field measurements and interpreted Moho contours. An accompanying DVD contains important out-of-print publications and an extensive collection of controlled-source data, location maps, and crustal cross sections.","language":"English","publisher":"Geological Society of America","usgsCitation":"Prodehl, C., and Mooney, W.D., 2012, Exploring the Earth's crust: History and results of controlled-source seismology: GSA Memoir 208, 764 p.","productDescription":"764 p.","ipdsId":"IP-030032","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":272250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527a2183e4b051792d01951b","contributors":{"authors":[{"text":"Prodehl, Claus","contributorId":81082,"corporation":false,"usgs":true,"family":"Prodehl","given":"Claus","email":"","affiliations":[],"preferred":false,"id":472155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mooney, Walter D. 0000-0002-5310-3631 mooney@usgs.gov","orcid":"https://orcid.org/0000-0002-5310-3631","contributorId":3194,"corporation":false,"usgs":true,"family":"Mooney","given":"Walter","email":"mooney@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":472154,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70045106,"text":"70045106 - 2012 - Improving PAGER's real-time earthquake casualty and loss estimation toolkit: a challenge","interactions":[],"lastModifiedDate":"2013-06-24T13:42:25","indexId":"70045106","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Improving PAGER's real-time earthquake casualty and loss estimation toolkit: a challenge","docAbstract":"We describe the on-going developments of PAGER’s loss estimation models, and discuss value-added web content that can be generated related to exposure, damage and loss outputs for a variety of PAGER users. These developments include identifying vulnerable building types in any given area, estimating earthquake-induced damage and loss statistics by building type, and developing visualization aids that help locate areas of concern for improving post-earthquake response efforts. While detailed exposure and damage information is highly useful and desirable, significant improvements are still necessary in order to improve underlying building stock and vulnerability data at a global scale. Existing efforts with the GEM’s GED4GEM and GVC consortia will help achieve some of these objectives. This will benefit PAGER especially in regions where PAGER’s empirical model is less-well constrained; there, the semi-empirical and analytical models will provide robust estimates of damage and losses. Finally, we outline some of the challenges associated with rapid casualty and loss estimation that we experienced while responding to recent large earthquakes worldwide.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The 15th World Conference on Earthquake Engineering: September 24-28, 2012, Lisbon, Portugal","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"IEM","usgsCitation":"Jaiswal, K.S., and Wald, D., 2012, Improving PAGER's real-time earthquake casualty and loss estimation toolkit: a challenge, in The 15th World Conference on Earthquake Engineering: September 24-28, 2012, Lisbon, Portugal, 10 p.","productDescription":"10 p.","ipdsId":"IP-037996","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":274113,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274112,"type":{"id":11,"text":"Document"},"url":"https://www.iitk.ac.in/nicee/wcee/article/WCEE2012_2539.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c96a66e4b0a50a6e8f57f5","contributors":{"authors":[{"text":"Jaiswal, K. S.","contributorId":105564,"corporation":false,"usgs":false,"family":"Jaiswal","given":"K.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":476814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wald, D.J. 0000-0002-1454-4514","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":43809,"corporation":false,"usgs":true,"family":"Wald","given":"D.J.","affiliations":[],"preferred":false,"id":476813,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70042085,"text":"70042085 - 2012 - Radiometric calibration of the Landsat MSS sensor series","interactions":[],"lastModifiedDate":"2013-03-12T14:32:05","indexId":"70042085","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","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":"Radiometric calibration of the Landsat MSS sensor series","docAbstract":"Multispectral remote sensing of the Earth using Landsat sensors was ushered on July 23, 1972, with the launch of Landsat-1. Following that success, four more Landsat satellites were launched, and each of these carried the Multispectral Scanner System (MSS). These five sensors provided the only consistent multispectral space-based imagery of the Earth's surface from 1972 to 1982. This work focuses on developing both a consistent and absolute radiometric calibration of this sensor system. Cross-calibration of the MSS was performed through the use of pseudoinvariant calibration sites (PICSs). Since these sites have been shown to be stable for long periods of time, changes in MSS observations of these sites were attributed to changes in the sensors themselves. In addition, simultaneous data collections were available for some MSS sensor pairs, and these were also used for cross-calibration. Results indicated substantial differences existed between instruments, up to 16%, and these were reduced to 5% or less across all MSS sensors and bands. Lastly, this paper takes the calibration through the final step and places the MSS sensors on an absolute radiometric scale. The methodology used to achieve this was based on simultaneous data collections by the Landsat-5 MSS and Thematic Mapper (TM) instruments. Through analysis of image data from a PICS location and through compensating for the spectral differences between the two instruments, the Landsat-5 MSS sensor was placed on an absolute radiometric scale based on the Landsat-5 TM sensor. Uncertainties associated with this calibration are considered to be less than 5%.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"IEEE Transactions on Geoscience and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IEEE","publisherLocation":"Washington, D.C.","doi":"10.1109/TGRS.2011.2171351","usgsCitation":"Helder, D.L., Karki, S., Bhatt, R., Micijevik, E., Aaron, D., and Jasinski, B., 2012, Radiometric calibration of the Landsat MSS sensor series: IEEE Transactions on Geoscience and Remote Sensing, v. 50, no. 6, p. 2380-2399, https://doi.org/10.1109/TGRS.2011.2171351.","productDescription":"20 p.","startPage":"2380","endPage":"2399","ipdsId":"IP-030742","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":269169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269167,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/TGRS.2011.2171351"}],"volume":"50","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51404e8ee4b089809dbf44ce","contributors":{"authors":[{"text":"Helder, Dennis L.","contributorId":105613,"corporation":false,"usgs":true,"family":"Helder","given":"Dennis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":470754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karki, Sadhana","contributorId":64966,"corporation":false,"usgs":true,"family":"Karki","given":"Sadhana","email":"","affiliations":[],"preferred":false,"id":470751,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bhatt, Rajendra","contributorId":95768,"corporation":false,"usgs":true,"family":"Bhatt","given":"Rajendra","email":"","affiliations":[],"preferred":false,"id":470753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Micijevik, Esad 0000-0002-3828-9239","orcid":"https://orcid.org/0000-0002-3828-9239","contributorId":107995,"corporation":false,"usgs":true,"family":"Micijevik","given":"Esad","affiliations":[],"preferred":false,"id":470755,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aaron, David","contributorId":83809,"corporation":false,"usgs":false,"family":"Aaron","given":"David","email":"","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":470752,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jasinski, Benjamin","contributorId":31274,"corporation":false,"usgs":true,"family":"Jasinski","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":470750,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70043697,"text":"70043697 - 2012 - Annual accumulation over the Greenland ice sheet interpolated from historical and newly compiled observation data","interactions":[],"lastModifiedDate":"2013-04-08T20:39:43","indexId":"70043697","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1768,"text":"Geografiska Annaler, Series A: Physical Geography","active":true,"publicationSubtype":{"id":10}},"title":"Annual accumulation over the Greenland ice sheet interpolated from historical and newly compiled observation data","docAbstract":"The estimation of ice/snow accumulation is of great significance in quantifying the mass balance of ice sheets and variation in water resources. Improving the accuracy and reducing uncertainty has been a challenge for the estimation of annual accumulation over the Greenland ice sheet. In this study, we kriged and analyzed the spatial pattern of accumulation based on an observation data series including 315 points used in a recent research, plus 101 ice cores and snow pits and newly compiled 23 coastal weather station data. The estimated annual accumulation over the Greenland ice sheet is 31.2 g cm−2 yr−1, with a standard error of 0.9 g cm−2 yr−1. The main differences between the improved map developed in this study and the recently published accumulation maps are in the coastal areas, especially southeast and southwest regions. The analysis of accumulations versus elevation reveals the distribution patterns of accumulation over the Greenland ice sheet.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geografiska Annaler, Series A: Physical Geography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1468-0459.2012.00458.x","usgsCitation":"Shen, D., Liu, Y., and Huang, S., 2012, Annual accumulation over the Greenland ice sheet interpolated from historical and newly compiled observation data: Geografiska Annaler, Series A: Physical Geography, v. 94, no. 3, p. 377-393, https://doi.org/10.1111/j.1468-0459.2012.00458.x.","productDescription":"17 p.","startPage":"377","endPage":"393","ipdsId":"IP-031311","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":270676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270675,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1468-0459.2012.00458.x"}],"country":"Greenland","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.0,59.8 ], [ -73.0,83.6 ], [ -11.3,83.6 ], [ -11.3,59.8 ], [ -73.0,59.8 ] ] ] } } ] }","volume":"94","issue":"3","noUsgsAuthors":false,"publicationDate":"2016-11-15","publicationStatus":"PW","scienceBaseUri":"5163e6e7e4b0b7010f820164","contributors":{"authors":[{"text":"Shen, Dayong","contributorId":71079,"corporation":false,"usgs":true,"family":"Shen","given":"Dayong","email":"","affiliations":[],"preferred":false,"id":474117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Yuling","contributorId":96171,"corporation":false,"usgs":true,"family":"Liu","given":"Yuling","email":"","affiliations":[],"preferred":false,"id":474118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huang, Shengli shuang@usgs.gov","contributorId":1926,"corporation":false,"usgs":true,"family":"Huang","given":"Shengli","email":"shuang@usgs.gov","affiliations":[],"preferred":true,"id":474116,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70044809,"text":"70044809 - 2012 - Direct U-Pb dating of Cretaceous and Paleocene dinosaur bones, San Juan Basin, New Mexico: COMMENT","interactions":[],"lastModifiedDate":"2013-04-25T12:09:47","indexId":"70044809","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Direct U-Pb dating of Cretaceous and Paleocene dinosaur bones, San Juan Basin, New Mexico: COMMENT","docAbstract":"Based on U-Pb dating of two dinosaur bones from the San Juan Basin of New Mexico (United States), Fassett et al. (2011) claim to provide the first successful direct dating of fossil bones and to establish the presence of Paleocene dinosaurs. Fassett et al. ignore previously published work that directly questions their stratigraphic interpretations (Lucas et al., 2009), and fail to provide sufficient descriptions of instrumental, geochronological, and statistical treatments of the data to allow evaluation of the potentially complex diagenetic and recrystallization history of bone. These shortcomings lead us to question the validity of the U-Pb dates published by Fassett et al. and their conclusions regarding the existence of Paleocene dinosaurs.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"GSA","doi":"10.1130/G32154C.1","usgsCitation":"Koenig, A.E., Lucas, S., Neymark, L.A., Heckert, A.B., Sullivan, R.M., Jasinski, S.E., and Fowler, D.W., 2012, Direct U-Pb dating of Cretaceous and Paleocene dinosaur bones, San Juan Basin, New Mexico: COMMENT: Geology, v. 40, no. 4, p. e262-e262, https://doi.org/10.1130/G32154C.1.","productDescription":"1 p.","startPage":"e262","endPage":"e262","ipdsId":"IP-027439","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":474122,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g32154c.1","text":"Publisher Index Page"},{"id":271467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271465,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G32154C.1"}],"country":"United States","state":"New Mexico","otherGeospatial":"San Juan Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,31.33 ], [ -109.0,37.0 ], [ -103.0,37.0 ], [ -103.0,31.33 ], [ -109.0,31.33 ] ] ] } } ] }","volume":"40","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517a5069e4b072c16ef14b1a","contributors":{"authors":[{"text":"Koenig, Alan E. 0000-0002-5230-0924 akoenig@usgs.gov","orcid":"https://orcid.org/0000-0002-5230-0924","contributorId":1564,"corporation":false,"usgs":true,"family":"Koenig","given":"Alan","email":"akoenig@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lucas, Spencer G.","contributorId":80161,"corporation":false,"usgs":true,"family":"Lucas","given":"Spencer G.","affiliations":[],"preferred":false,"id":476353,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neymark, Leonid A. lneymark@usgs.gov","contributorId":532,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid","email":"lneymark@usgs.gov","middleInitial":"A.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":476347,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heckert, Andrew B.","contributorId":28878,"corporation":false,"usgs":true,"family":"Heckert","given":"Andrew","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":476350,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, Robert M.","contributorId":52474,"corporation":false,"usgs":true,"family":"Sullivan","given":"Robert","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":476352,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jasinski, Steven E.","contributorId":26948,"corporation":false,"usgs":true,"family":"Jasinski","given":"Steven","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":476349,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fowler, Denver W.","contributorId":49683,"corporation":false,"usgs":true,"family":"Fowler","given":"Denver","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":476351,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70045107,"text":"70045107 - 2012 - Geomagnetic detection of the sectorial solar magnetic field and the historical peculiarity of minimum 23-24","interactions":[],"lastModifiedDate":"2013-04-17T20:28:09","indexId":"70045107","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","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":"Geomagnetic detection of the sectorial solar magnetic field and the historical peculiarity of minimum 23-24","docAbstract":"[1] Analysis is made of the geomagnetic-activityaaindex covering solar cycle 11 to the beginning of 24, 1868–2011. Autocorrelation shows 27.0-d recurrent geomagnetic activity that is well-known to be prominent during solar-cycle minima; some minima also exhibit a smaller amount of 13.5-d recurrence. Previous work has shown that the recent solar minimum 23–24 exhibited 9.0 and 6.7-d recurrence in geomagnetic and heliospheric data, but those recurrence intervals were not prominently present during the preceding minima 21–22 and 22–23. Using annual-averages and solar-cycle averages of autocorrelations of the historicalaadata, we put these observations into a long-term perspective: none of the 12 minima preceding 23–24 exhibited prominent 9.0 and 6.7-d geomagnetic activity recurrence. We show that the detection of these recurrence intervals can be traced to an unusual combination of sectorial spherical-harmonic structure in the solar magnetic field and anomalously low sunspot number. We speculate that 9.0 and 6.7-d recurrence is related to transient large-scale, low-latitude organization of the solar dynamo, such as seen in some numerical simulations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1029/2011GL050702","usgsCitation":"Love, J.J., and Rigler, J., 2012, Geomagnetic detection of the sectorial solar magnetic field and the historical peculiarity of minimum 23-24: Geophysical Research Letters, v. 39, L04102, https://doi.org/10.1029/2011GL050702.","productDescription":"L04102","ipdsId":"IP-035584","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":474293,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011gl050702","text":"Publisher Index Page"},{"id":271031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271029,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011GL050702"},{"id":271030,"type":{"id":11,"text":"Document"},"url":"https://geomag.usgs.gov/downloads/publications/2011GL050702.pdf"}],"country":"United States","volume":"39","noUsgsAuthors":false,"publicationDate":"2012-02-28","publicationStatus":"PW","scienceBaseUri":"516fc464e4b05024ef3cd3fc","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":476815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rigler, J.","contributorId":28513,"corporation":false,"usgs":true,"family":"Rigler","given":"J.","email":"","affiliations":[],"preferred":false,"id":476816,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70038087,"text":"70038087 - 2012 - Estimating discharge measurement uncertainty using the interpolated variance estimator","interactions":[],"lastModifiedDate":"2013-04-20T20:19:00","indexId":"70038087","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2338,"text":"Journal of Hydraulic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Estimating discharge measurement uncertainty using the interpolated variance estimator","docAbstract":"Methods for quantifying the uncertainty in discharge measurements typically identify various sources of uncertainty and then estimate the uncertainty from each of these sources by applying the results of empirical or laboratory studies. If actual measurement conditions are not consistent with those encountered in the empirical or laboratory studies, these methods may give poor estimates of discharge uncertainty. This paper presents an alternative method for estimating discharge measurement uncertainty that uses statistical techniques and at-site observations. This Interpolated Variance Estimator (IVE) estimates uncertainty based on the data collected during the streamflow measurement and therefore reflects the conditions encountered at the site. The IVE has the additional advantage of capturing all sources of random uncertainty in the velocity and depth measurements. It can be applied to velocity-area discharge measurements that use a velocity meter to measure point velocities at multiple vertical sections in a channel cross section.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydraulic Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ASCE","publisherLocation":"Reston, VA","doi":"10.1061/(ASCE)HY.1943-7900.0000695","usgsCitation":"Cohn, T., Kiang, J., and Mason, R., 2012, Estimating discharge measurement uncertainty using the interpolated variance estimator: Journal of Hydraulic Engineering, v. 139, no. 5, p. 502-510, https://doi.org/10.1061/(ASCE)HY.1943-7900.0000695.","productDescription":"9 p.","startPage":"502","endPage":"510","ipdsId":"IP-022663","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":269975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269974,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)HY.1943-7900.0000695"}],"volume":"139","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5150207ee4b08df5cb131360","contributors":{"authors":[{"text":"Cohn, T.","contributorId":95353,"corporation":false,"usgs":true,"family":"Cohn","given":"T.","email":"","affiliations":[],"preferred":false,"id":463432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kiang, J.","contributorId":31280,"corporation":false,"usgs":true,"family":"Kiang","given":"J.","email":"","affiliations":[],"preferred":false,"id":463430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mason, R. Jr.","contributorId":80155,"corporation":false,"usgs":true,"family":"Mason","given":"R.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":463431,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70044783,"text":"70044783 - 2012 - Estimating risks to aquatic life using quantile regression","interactions":[],"lastModifiedDate":"2013-06-21T14:19:06","indexId":"70044783","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Estimating risks to aquatic life using quantile regression","docAbstract":"One of the primary goals of biological assessment is to assess whether contaminants or other stressors limit the ecological potential of running waters. It is important to interpret responses to contaminants relative to other environmental factors, but necessity or convenience limit quantification of all factors that influence ecological potential. In these situations, the concept of limiting factors is useful for data interpretation. We used quantile regression to measure risks to aquatic life exposed to metals by including all regression quantiles (τ  =  0.05–0.95, by increments of 0.05), not just the upper limit of density (e.g., 90th quantile). We measured population densities (individuals/0.1 m2) of 2 mayflies (Rhithrogena spp., Drunella spp.) and a caddisfly (Arctopsyche grandis), aqueous metal mixtures (Cd, Cu, Zn), and other limiting factors (basin area, site elevation, discharge, temperature) at 125 streams in Colorado. We used a model selection procedure to test which factor was most limiting to density. Arctopsyche grandis was limited by other factors, whereas metals limited most quantiles of density for the 2 mayflies. Metals reduced mayfly densities most at sites where other factors were not limiting. Where other factors were limiting, low mayfly densities were observed despite metal concentrations. Metals affected mayfly densities most at quantiles above the mean and not just at the upper limit of density. Risk models developed from quantile regression showed that mayfly densities observed at background metal concentrations are improbable when metal mixtures are at US Environmental Protection Agency criterion continuous concentrations. We conclude that metals limit potential density, not realized average density. The most obvious effects on mayfly populations were at upper quantiles and not mean density. Therefore, we suggest that policy developed from mean-based measures of effects may not be as useful as policy based on the concept of limiting factors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Society for Freshwater Science","doi":"10.1899/11-133.1","usgsCitation":"Schmidt, T., Clements, W.H., and Cade, B.S., 2012, Estimating risks to aquatic life using quantile regression: Freshwater Science, v. 31, no. 3, p. 709-723, https://doi.org/10.1899/11-133.1.","productDescription":"15 p.","startPage":"709","endPage":"723","ipdsId":"IP-017391","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":274071,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274070,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1899/11-133.1"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.06,36.99 ], [ -109.06,41.0 ], [ -102.04,41.0 ], [ -102.04,36.99 ], [ -109.06,36.99 ] ] ] } } ] }","volume":"31","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c59e33e4b0c89b8f120e27","contributors":{"authors":[{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":476308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clements, William H.","contributorId":39504,"corporation":false,"usgs":true,"family":"Clements","given":"William","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":476309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cade, Brian S. 0000-0001-9623-9849 cadeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9623-9849","contributorId":1278,"corporation":false,"usgs":true,"family":"Cade","given":"Brian","email":"cadeb@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":476307,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70044659,"text":"70044659 - 2012 - Bioenergetic response by steelhead to variation in diet, thermal habitat, and climate in the north Pacific Ocean","interactions":[],"lastModifiedDate":"2013-04-15T18:27:04","indexId":"70044659","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","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":"Bioenergetic response by steelhead to variation in diet, thermal habitat, and climate in the north Pacific Ocean","docAbstract":"Energetic responses of steelhead Oncorhynchus mykiss to climate-driven changes in marine conditions are expected to affect the species’ ocean distribution, feeding, growth, and survival. With a unique 18-year data series (1991–2008) for steelhead sampled in the open ocean, we simulated interannual variation in prey consumption and growth efficiency of steelhead using a bioenergetics model to evaluate the temperature-dependent growth response of steelhead to past climate events and to estimate growth potential of steelhead under future climate scenarios. Our results showed that annual ocean growth of steelhead is highly variable depending on prey quality, consumption rates, total consumption, and thermal experience. At optimal growing temperatures, steelhead can compensate for a low-energy diet by increasing consumption rates and consuming more prey, if available. 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groundwater susceptibility using trace concentrations of halogenated volatile organic compounds","docAbstract":"Twenty-four halogenated volatile organic compounds (hVOCs) and SF6 were measured in groundwater samples collected from 312 wells across California at concentrations as low as 10–12 grams per kilogram groundwater. The hVOCs detected are predominately anthropogenic (i.e., “ahVOCs”) and as such their distribution delineates where groundwaters are impacted and susceptible to human activity. ahVOC detections were broadly consistent with air-saturated water concentrations in equilibrium with a combination of industrial-era global and regional hVOC atmospheric abundances. However, detection of ahVOCs in nearly all of the samples collected, including ancient groundwaters, suggests the presence of a sampling or analytical artifact that confounds interpretation of the very-low concentration ahVOC data. To increase our confidence in ahVOC detections we establish screening levels based on ahVOC concentrations in deep wells drawing ancient groundwater in Owens Valley. Concentrations of ahVOCs below the Owens Valley screening levels account for a large number of the detections in prenuclear groundwater across California without significant loss of ahVOC detections in shallow, recently recharged groundwaters. Over 80% of the groundwaters in this study contain at least one ahVOC after screening, indicating that the footprint of human industry is nearly ubiquitous and that most California groundwaters are vulnerable to contamination from land-surface activities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS Publications","publisherLocation":"Washington, D.C.","doi":"10.1021/es303546b","usgsCitation":"Deeds, D.A., Kulongoski, J., and Belitz, K., 2012, Assessing California groundwater susceptibility using trace concentrations of halogenated volatile organic compounds: Environmental Science & Technology, v. 46, no. 24, p. 13128-13135, https://doi.org/10.1021/es303546b.","productDescription":"8 p.","startPage":"13128","endPage":"13135","ipdsId":"IP-040240","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":270881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270880,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es303546b"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.4,32.5 ], [ -124.4,42.0 ], [ -114.1,42.0 ], [ -114.1,32.5 ], [ -124.4,32.5 ] ] ] } } ] }","volume":"46","issue":"24","noUsgsAuthors":false,"publicationDate":"2012-11-29","publicationStatus":"PW","scienceBaseUri":"516bcfe9e4b0eae401aec237","contributors":{"authors":[{"text":"Deeds, Daniel A. ddeeds@usgs.gov","contributorId":83003,"corporation":false,"usgs":true,"family":"Deeds","given":"Daniel","email":"ddeeds@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":475635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":94750,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin T.","affiliations":[],"preferred":false,"id":475636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475634,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}