{"pageNumber":"133","pageRowStart":"3300","pageSize":"25","recordCount":10457,"records":[{"id":70159458,"text":"70159458 - 2015 - Exploration of the canyon-incised continental margin of the northeastern United States reveals dynamic habitats and diverse communities","interactions":[],"lastModifiedDate":"2016-07-17T23:29:28","indexId":"70159458","displayToPublicDate":"2015-11-02T09:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Exploration of the canyon-incised continental margin of the northeastern United States reveals dynamic habitats and diverse communities","docAbstract":"

The continental margin off the northeastern United States (NEUS) contains numerous, topographically complex features that increase habitat heterogeneity across the region. However, the majority of these rugged features have never been surveyed, particularly using direct observations. During summer 2013, 31 Remotely-Operated Vehicle (ROV) dives were conducted from 494 to 3271 m depth across a variety of seafloor features to document communities and to infer geological processes that produced such features. The ROV surveyed six broad-scale habitat features, consisting of shelf-breaching canyons, slope-sourced canyons, inter-canyon areas, open-slope/landslide-scar areas, hydrocarbon seeps, and Mytilus Seamount. Four previously unknown chemosynthetic communities dominated by Bathymodiolus mussels were documented. Seafloor methane hydrate was observed at two seep sites. Multivariate analyses indicated that depth and broad-scale habitat significantly influenced megafaunal coral (58 taxa), demersal fish (69 taxa), and decapod crustacean (34 taxa) assemblages. Species richness of fishes and crustaceans significantly declined with depth, while there was no relationship between coral richness and depth. Turnover in assemblage structure occurred on the middle to lower slope at the approximate boundaries of water masses found previously in the region. Coral species richness was also an important variable explaining variation in fish and crustacean assemblages. Coral diversity may serve as an indicator of habitat suitability and variation in available niche diversity for these taxonomic groups. Our surveys added 24 putative coral species and three fishes to the known regional fauna, including the black coral Telopathes magna, the octocoral Metallogorgia melanotrichosand the fishes Gaidropsarus argentatus, Guttigadus latifrons, and Lepidion guentheri. Marine litter was observed on 81% of the dives, with at least 12 coral colonies entangled in debris. While initial exploration revealed the NEUS region to be both geologically dynamic and biologically diverse, further research into the abiotic conditions and the biotic interactions that influence species abundance and distribution is needed.

","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0139904","collaboration":"NOAA, TAMU, WHOI, UCONN, MSU (Mississippi)","usgsCitation":"Quattrini, A., Nizinski, M.S., Chaytor, J., Demopoulos, A.W., Roark, E., France, S., Moore, J.A., Heyl, T.P., Auster, P.J., Ruppel, C., Elliott, K.P., Kennedy, B.R., Lobecker, E.A., Skarke, A., and Shank, T., 2015, Exploration of the canyon-incised continental margin of the northeastern United States reveals dynamic habitats and diverse communities: PLoS ONE, v. 10, no. 10, e0139904: 32 p., https://doi.org/10.1371/journal.pone.0139904.","productDescription":"e0139904: 32 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064221","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":471666,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0139904","text":"Publisher Index Page"},{"id":310900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Northeastern United States, Gulf of Maine, Georges Bank, MA, Cape Hatteras, NC","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.37695312499999,\n 34.52466147177172\n ],\n [\n -74.970703125,\n 33.61461929233378\n ],\n [\n -74.1357421875,\n 33.54139466898275\n ],\n [\n -71.9384765625,\n 33.797408767572485\n ],\n [\n -68.90625,\n 34.994003757575776\n ],\n [\n -67.2802734375,\n 38.272688535980976\n ],\n [\n -65.9619140625,\n 40.91351257612758\n ],\n [\n -65.302734375,\n 42.81152174509788\n ],\n [\n -65.7861328125,\n 43.48481212891603\n ],\n [\n -66.4453125,\n 44.05601169578525\n ],\n [\n -67.32421875,\n 44.402391829093915\n ],\n [\n -68.203125,\n 44.465151013519616\n ],\n [\n -69.6533203125,\n 43.992814500489914\n ],\n [\n -70.83984375,\n 43.068887774169625\n ],\n [\n -72.2900390625,\n 41.86956082699455\n ],\n [\n -74.3994140625,\n 40.07807142745009\n ],\n [\n -76.640625,\n 36.5978891330702\n ],\n [\n -76.37695312499999,\n 34.52466147177172\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"10","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-28","publicationStatus":"PW","scienceBaseUri":"56388934e4b0d6133fe72f81","contributors":{"authors":[{"text":"Quattrini, Andrea aquattrini@usgs.gov","contributorId":149599,"corporation":false,"usgs":true,"family":"Quattrini","given":"Andrea","email":"aquattrini@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":578891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nizinski, Martha S.","contributorId":87680,"corporation":false,"usgs":true,"family":"Nizinski","given":"Martha","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":578892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chaytor, Jason 0000-0001-8135-8677 jchaytor@usgs.gov","orcid":"https://orcid.org/0000-0001-8135-8677","contributorId":140095,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason","email":"jchaytor@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":578893,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Demopoulos, Amanda W.J. 0000-0003-2096-4694 ademopoulos@usgs.gov","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":145681,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","email":"ademopoulos@usgs.gov","middleInitial":"W.J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":578894,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roark, E. Brendan","contributorId":25464,"corporation":false,"usgs":true,"family":"Roark","given":"E. 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C.","contributorId":149603,"corporation":false,"usgs":false,"family":"Kennedy","given":"Brian","email":"","middleInitial":"R. C.","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":578902,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lobecker, Elizabeth A.","contributorId":98651,"corporation":false,"usgs":true,"family":"Lobecker","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":578903,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Skarke, Adam","contributorId":34055,"corporation":false,"usgs":true,"family":"Skarke","given":"Adam","affiliations":[],"preferred":false,"id":578904,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Shank, Timothy M.","contributorId":100722,"corporation":false,"usgs":true,"family":"Shank","given":"Timothy M.","affiliations":[],"preferred":false,"id":578905,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70193040,"text":"70193040 - 2015 - Now hiring! Empirically testing a three-step intervention to increase faculty gender diversity in STEM","interactions":[],"lastModifiedDate":"2017-11-06T16:49:46","indexId":"70193040","displayToPublicDate":"2015-11-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Now hiring! Empirically testing a three-step intervention to increase faculty gender diversity in STEM","docAbstract":"

Workforce homogeneity limits creativity, discovery, and job satisfaction; nonetheless, the vast majority of university faculty in science, technology, engineering, and mathematics (STEM) fields are men. We conducted a randomized and controlled three-step faculty search intervention based in self-determination theory aimed at increasing the number of women faculty in STEM at one US university where increasing diversity had historically proved elusive. Results show that the numbers of women candidates considered for and offered tenure-track positions were significantly higher in the intervention groups compared with those in controls. Searches in the intervention were 6.3 times more likely to make an offer to a woman candidate, and women who were made an offer were 5.8 times more likely to accept the offer from an intervention search. Although the focus was on increasing women faculty within STEM, the intervention can be adapted to other scientific and academic communities to advance diversity along any dimension.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/biv138","usgsCitation":"Smith, J.L., Handley, I.M., Zale, A.V., Rushing, S., and Potvin, M.A., 2015, Now hiring! Empirically testing a three-step intervention to increase faculty gender diversity in STEM: BioScience, v. 65, no. 11, p. 1084-1087, https://doi.org/10.1093/biosci/biv138.","productDescription":"4 p.","startPage":"1084","endPage":"1087","ipdsId":"IP-059205","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471689,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/biv138","text":"Publisher Index Page"},{"id":348311,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"65","issue":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-10","publicationStatus":"PW","scienceBaseUri":"5a07eb2ae4b09af898c8ccc4","contributors":{"authors":[{"text":"Smith, Jessi L.","contributorId":200044,"corporation":false,"usgs":false,"family":"Smith","given":"Jessi","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":720785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Handley, Ian M.","contributorId":200045,"corporation":false,"usgs":false,"family":"Handley","given":"Ian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":720786,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zale, Alexander V. 0000-0003-1703-885X zale@usgs.gov","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":3010,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"zale@usgs.gov","middleInitial":"V.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717733,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rushing, Sara","contributorId":200046,"corporation":false,"usgs":false,"family":"Rushing","given":"Sara","email":"","affiliations":[],"preferred":false,"id":720787,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Potvin, Martha A.","contributorId":200047,"corporation":false,"usgs":false,"family":"Potvin","given":"Martha","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":720788,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70186870,"text":"70186870 - 2015 - Interpretation of hydraulic conductivity in a fractured-rock aquifer over increasingly larger length dimensions","interactions":[],"lastModifiedDate":"2018-08-09T12:34:17","indexId":"70186870","displayToPublicDate":"2015-11-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Interpretation of hydraulic conductivity in a fractured-rock aquifer over increasingly larger length dimensions","docAbstract":"

A comparison of the hydraulic conductivity over increasingly larger volumes of crystalline rock was conducted in the Piedmont physiographic region near Bethesda, Maryland, USA. Fluid-injection tests were conducted on intervals of boreholes isolating closely spaced fractures. Single-hole tests were conducted by pumping in open boreholes for approximately 30 min, and an interference test was conducted by pumping a single borehole over 3 days while monitoring nearby boreholes. An estimate of the hydraulic conductivity of the rock over hundreds of meters was inferred from simulating groundwater inflow into a kilometer-long section of a Washington Metropolitan Area Transit Authority tunnel in the study area, and a groundwater modeling investigation over the Rock Creek watershed provided an estimate of the hydraulic conductivity over kilometers. The majority of groundwater flow is confined to relatively few fractures at a given location. Boreholes installed to depths of approximately 50 m have one or two highly transmissive fractures; the transmissivity of the remaining fractures ranges over five orders of magnitude. Estimates of hydraulic conductivity over increasingly larger rock volumes varied by less than half an order of magnitude. While many investigations point to increasing hydraulic conductivity as a function of the measurement scale, a comparison with selected investigations shows that the effective hydraulic conductivity estimated over larger volumes of rock can either increase, decrease, or remain stable as a function of the measurement scale. Caution needs to be exhibited in characterizing effective hydraulic properties in fractured rock for the purposes of groundwater management.

","language":"English","publisher":"Springer","doi":"10.1007/s10040-015-1285-7","usgsCitation":"Shapiro, A.M., Ladderud, J., and Yager, R.M., 2015, Interpretation of hydraulic conductivity in a fractured-rock aquifer over increasingly larger length dimensions: Hydrogeology Journal, v. 23, no. 7, p. 1319-1339, https://doi.org/10.1007/s10040-015-1285-7.","productDescription":"21 p.","startPage":"1319","endPage":"1339","ipdsId":"IP-065461","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":339622,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-23","publicationStatus":"PW","scienceBaseUri":"58ef3dace4b0eed1ab8e3be4","contributors":{"authors":[{"text":"Shapiro, Allen M. 0000-0002-6425-9607 ashapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-6425-9607","contributorId":2164,"corporation":false,"usgs":true,"family":"Shapiro","given":"Allen","email":"ashapiro@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":690742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ladderud, Jeffery","contributorId":190799,"corporation":false,"usgs":false,"family":"Ladderud","given":"Jeffery","email":"","affiliations":[],"preferred":false,"id":690743,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yager, Richard M. 0000-0001-7725-1148 ryager@usgs.gov","orcid":"https://orcid.org/0000-0001-7725-1148","contributorId":950,"corporation":false,"usgs":true,"family":"Yager","given":"Richard","email":"ryager@usgs.gov","middleInitial":"M.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":690744,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176528,"text":"70176528 - 2015 - A bootstrap method for estimating uncertainty of water quality trends","interactions":[],"lastModifiedDate":"2016-09-20T15:20:55","indexId":"70176528","displayToPublicDate":"2015-11-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"A bootstrap method for estimating uncertainty of water quality trends","docAbstract":"

Estimation of the direction and magnitude of trends in surface water quality remains a problem of great scientific and practical interest. The Weighted Regressions on Time, Discharge, and Season (WRTDS) method was recently introduced as an exploratory data analysis tool to provide flexible and robust estimates of water quality trends. This paper enhances the WRTDS method through the introduction of the WRTDS Bootstrap Test (WBT), an extension of WRTDS that quantifies the uncertainty in WRTDS-estimates of water quality trends and offers various ways to visualize and communicate these uncertainties. Monte Carlo experiments are applied to estimate the Type I error probabilities for this method. WBT is compared to other water-quality trend-testing methods appropriate for data sets of one to three decades in length with sampling frequencies of 6–24 observations per year. The software to conduct the test is in the EGRETci R-package.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2015.07.017","usgsCitation":"Hirsch, R.M., Archfield, S.A., and DeCicco, L.A., 2015, A bootstrap method for estimating uncertainty of water quality trends: Environmental Modelling and Software, v. 73, p. 148-166, https://doi.org/10.1016/j.envsoft.2015.07.017.","productDescription":"19 p.","startPage":"148","endPage":"166","ipdsId":"IP-067558","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":482080,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2015.07.017","text":"Publisher Index Page"},{"id":328774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7ee36e4b0bc0bec09e90b","contributors":{"authors":[{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":649115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":649116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeCicco, Laura A. 0000-0002-3915-9487 ldecicco@usgs.gov","orcid":"https://orcid.org/0000-0002-3915-9487","contributorId":174716,"corporation":false,"usgs":true,"family":"DeCicco","given":"Laura","email":"ldecicco@usgs.gov","middleInitial":"A.","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":649117,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189370,"text":"70189370 - 2015 - Effects and quantification of acid runoff from sulfide-bearing rock deposited during construction of Highway E18, Norway","interactions":[],"lastModifiedDate":"2018-09-04T16:30:16","indexId":"70189370","displayToPublicDate":"2015-11-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Effects and quantification of acid runoff from sulfide-bearing rock deposited during construction of Highway E18, Norway","docAbstract":"

The Highway E18 between the cities of Grimstad and Kristiansand, southern Norway, constructed in the period 2006–2009, cuts through sulfide-bearing rock. The geology of this area is dominated by slowly-weathering gneiss and granites, and oxidation of fresh rock surfaces can result in acidification of surface water. Sulfide-containing rock waste from excavations during construction work was therefore deposited in three waste rock deposits off-site. The deposits consist of 630,000–2,360,000 metric tons of waste rock material. Shell sand and limestone gravel were added in layers in adequate amounts to mitigate initial acid runoff in one of the deposits. The shell sand addition was not adequate in the two others. The pH in the effluents from these two was reduced from 4.9–6.5 to 4.0–4.6, and Al concentrations increased from below 0.4 mg/L to 10–20 mg/L. Stream concentrations of trace metals increased by a factor of 25–400, highest for Ni, and then in decreasing order for Co, Mn, Cd, Zn and Cu. Concentrations of As, Cr and Fe remained unchanged. Ratios of Co/Ni and Cd/Zn indicate that the metal sources for these pair of metals are sphalerite and pyrite, respectively. Based on surveys and established critical limits for Al, surface waters downstream became toxic to fish and invertebrates. The sulfur release rates were remarkably stable in the monitoring period at all three sites. Annual sulfur release was 0.1–0.4% of the total amount of sulfur in the deposit, indicating release periods of 250–800 years. Precipitates of Al-hydroxysulfates, well-known from mining sites, were found at the base of the deposits, in streams and also along the ocean shore-line. The effects of added neutralization agents in the deposits and in treatment areas downstream gradually decreased, as indicated by reduced stream pH over time. Active measures are needed to avoid harmful ecological effects in the future.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2014.06.016","usgsCitation":"Hindar, A., and Nordstrom, D.K., 2015, Effects and quantification of acid runoff from sulfide-bearing rock deposited during construction of Highway E18, Norway: Applied Geochemistry, v. 62, p. 150-163, https://doi.org/10.1016/j.apgeochem.2014.06.016.","productDescription":"14 p.","startPage":"150","endPage":"163","ipdsId":"IP-057362","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":471688,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11250/2564292","text":"External Repository"},{"id":343644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Norway","volume":"62","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59673543e4b0d1f9f05dd7df","contributors":{"authors":[{"text":"Hindar, Atle","contributorId":194512,"corporation":false,"usgs":false,"family":"Hindar","given":"Atle","email":"","affiliations":[],"preferred":false,"id":704407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":704406,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70159427,"text":"70159427 - 2015 - Developing a workflow to identify inconsistencies in volunteered geographic information: a phenological case study","interactions":[],"lastModifiedDate":"2015-11-09T09:07:29","indexId":"70159427","displayToPublicDate":"2015-10-29T12:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Developing a workflow to identify inconsistencies in volunteered geographic information: a phenological case study","docAbstract":"

Recent improvements in online information communication and mobile location-aware technologies have led to the production of large volumes of volunteered geographic information. Widespread, large-scale efforts by volunteers to collect data can inform and drive scientific advances in diverse fields, including ecology and climatology. Traditional workflows to check the quality of such volunteered information can be costly and time consuming as they heavily rely on human interventions. However, identifying factors that can influence data quality, such as inconsistency, is crucial when these data are used in modeling and decision-making frameworks. Recently developed workflows use simple statistical approaches that assume that the majority of the information is consistent. However, this assumption is not generalizable, and ignores underlying geographic and environmental contextual variability that may explain apparent inconsistencies. Here we describe an automated workflow to check inconsistency based on the availability of contextual environmental information for sampling locations. The workflow consists of three steps: (1) dimensionality reduction to facilitate further analysis and interpretation of results, (2) model-based clustering to group observations according to their contextual conditions, and (3) identification of inconsistent observations within each cluster. The workflow was applied to volunteered observations of flowering in common and cloned lilac plants (Syringa vulgaris and Syringa x chinensis) in the United States for the period 1980 to 2013. About 97% of the observations for both common and cloned lilacs were flagged as consistent, indicating that volunteers provided reliable information for this case study. Relative to the original dataset, the exclusion of inconsistent observations changed the apparent rate of change in lilac bloom dates by two days per decade, indicating the importance of inconsistency checking as a key step in data quality assessment for volunteered geographic information. Initiatives that leverage volunteered geographic information can adapt this workflow to improve the quality of their datasets and the robustness of their scientific analyses.

","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0140811","usgsCitation":"Mehdipoor, H., Zurita-Milla, R., Rosemartin, A., Gerst, K., and Weltzin, J., 2015, Developing a workflow to identify inconsistencies in volunteered geographic information: a phenological case study: PLoS ONE, v. 10, no. 10, e0140811: 14 p., https://doi.org/10.1371/journal.pone.0140811.","productDescription":"e0140811: 14 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065123","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":471696,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0140811","text":"Publisher Index Page"},{"id":310762,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-20","publicationStatus":"PW","scienceBaseUri":"56333584e4b048076347ee9d","contributors":{"authors":[{"text":"Mehdipoor, Hamed","contributorId":146212,"corporation":false,"usgs":false,"family":"Mehdipoor","given":"Hamed","email":"","affiliations":[{"id":16630,"text":"Department of Geo-Information Processing, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":578558,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zurita-Milla, Raul","contributorId":146213,"corporation":false,"usgs":false,"family":"Zurita-Milla","given":"Raul","email":"","affiliations":[{"id":16630,"text":"Department of Geo-Information Processing, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":578559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosemartin, Alyssa","contributorId":29766,"corporation":false,"usgs":true,"family":"Rosemartin","given":"Alyssa","affiliations":[],"preferred":false,"id":578560,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerst, Katharine L.","contributorId":29739,"corporation":false,"usgs":true,"family":"Gerst","given":"Katharine L.","affiliations":[],"preferred":false,"id":578561,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weltzin, Jake F. jweltzin@usgs.gov","contributorId":149476,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake F.","email":"jweltzin@usgs.gov","affiliations":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"preferred":false,"id":578557,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70159974,"text":"70159974 - 2015 - Large-scale range collapse of Hawaiian forest birds under climate change and the need 21st century conservation options","interactions":[],"lastModifiedDate":"2018-01-04T12:44:27","indexId":"70159974","displayToPublicDate":"2015-10-28T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Large-scale range collapse of Hawaiian forest birds under climate change and the need 21st century conservation options","docAbstract":"

Hawaiian forest birds serve as an ideal group to explore the extent of climate change impacts on at-risk species. Avian malaria constrains many remaining Hawaiian forest bird species to high elevations where temperatures are too cool for malaria's life cycle and its principal mosquito vector. The impact of climate change on Hawaiian forest birds has been a recent focus of Hawaiian conservation biology, and has centered on the links between climate and avian malaria. To elucidate the differential impacts of projected climate shifts on species with known varying niches, disease resistance and tolerance, we use a comprehensive database of species sightings, regional climate projections and ensemble distribution models to project distribution shifts for all Hawaiian forest bird species. We illustrate that, under a likely scenario of continued disease-driven distribution limitation, all 10 species with highly reliable models (mostly narrow-ranged, single-island endemics) are expected to lose >50% of their range by 2100. Of those, three are expected to lose all range and three others are expected to lose >90% of their range. Projected range loss was smaller for several of the more widespread species; however improved data and models are necessary to refine future projections. Like other at-risk species, Hawaiian forest birds have specific habitat requirements that limit the possibility of range expansion for most species, as projected expansion is frequently in areas where forest habitat is presently not available (such as recent lava flows). Given the large projected range losses for all species, protecting high elevation forest alone is not an adequate long-term strategy for many species under climate change. We describe the types of additional conservation actions practitioners will likely need to consider, while providing results to help with such considerations.

","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0140389","usgsCitation":"Fortini, L.B., Vorsino, A.E., Amidon, F.A., Paxton, E., and Jacobi, J.D., 2015, Large-scale range collapse of Hawaiian forest birds under climate change and the need 21st century conservation options: PLoS ONE, v. 10, HTML document, https://doi.org/10.1371/journal.pone.0140389.","productDescription":"HTML document","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069585","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":471700,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0140389","text":"Publisher Index Page"},{"id":438669,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F79S1P2W","text":"USGS data release","linkHelpText":"Datasets and scripts for Hawaiian Forest Bird SDM analysis by Fortini et al 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0000-0002-5781-7295 lfortini@usgs.gov","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":4645,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas","email":"lfortini@usgs.gov","middleInitial":"B.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":581356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vorsino, Adam E.","contributorId":71102,"corporation":false,"usgs":true,"family":"Vorsino","given":"Adam","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":581357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amidon, Fred A.","contributorId":107200,"corporation":false,"usgs":true,"family":"Amidon","given":"Fred","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":581358,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paxton, Eben H. 0000-0001-5578-7689 epaxton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":438,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben H.","email":"epaxton@usgs.gov","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":false,"id":581359,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":581360,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70168439,"text":"70168439 - 2015 - Projected future vegetation changes for the northwest United States and southwest Canada at a fine spatial resolution using a dynamic global vegetation model.","interactions":[],"lastModifiedDate":"2016-02-17T08:47:53","indexId":"70168439","displayToPublicDate":"2015-10-21T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS 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Future climate change may significantly alter the distributions of many plant taxa. The effects of climate change may be particularly large in mountainous regions where climate can vary significantly with elevation. Understanding potential future vegetation changes in these regions requires methods that can resolve vegetation responses to climate change at fine spatial resolutions. We used LPJ, a dynamic global vegetation model, to assess potential future vegetation changes for a large topographically complex area of the northwest United States and southwest Canada (38.0–58.0°N latitude by 136.6–103.0°W longitude). LPJ is a process-based vegetation model that mechanistically simulates the effect of changing climate and atmospheric CO2 concentrations on vegetation. It was developed and has been mostly applied at spatial resolutions of 10-minutes or coarser. In this study, we used LPJ at a 30-second (~1-km) spatial resolution to simulate potential vegetation changes for 2070–2099. LPJ was run using downscaled future climate simulations from five coupled atmosphere-ocean general circulation models (CCSM3, CGCM3.1(T47), GISS-ER, MIROC3.2(medres), UKMO-HadCM3) produced using the A2 greenhouse gases emissions scenario. Under projected future climate and atmospheric CO2 concentrations, the simulated vegetation changes result in the contraction of alpine, shrub-steppe, and xeric shrub vegetation across the study area and the expansion of woodland and forest vegetation. Large areas of maritime cool forest and cold forest are simulated to persist under projected future conditions. The fine spatial-scale vegetation simulations resolve patterns of vegetation change that are not visible at coarser resolutions and these fine-scale patterns are particularly important for understanding potential future vegetation changes in topographically complex areas.

","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0138759","usgsCitation":"Shafer, S., Bartlein, P.J., Gray, E.M., and Pelltier, R.T., 2015, Projected future vegetation changes for the northwest United States and southwest Canada at a fine spatial resolution using a dynamic global vegetation model.: PLoS ONE, v. 10, no. 10, e0138759, 21 p., https://doi.org/10.1371/journal.pone.0138759.","productDescription":"e0138759, 21 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051960","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":471711,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0138759","text":"Publisher Index Page"},{"id":438677,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F73X84PH","text":"USGS data release","linkHelpText":"LPJ biomes (30-year mean) simulated using monthly historical (1901-2000) CRU TS 2.1 climate data and projected future (2001-2099) CMIP3 A2 and A1B simulated climate data on a 30-second grid of the northwest United States and southwest Canada, version 1.0"},{"id":438676,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7CF9N51","text":"USGS data release","linkHelpText":"Bioclimatic variables calculated from statistically-downscaled historical (1901-2000) CRU TS 2.1 climate data and projected future (2001-2099) CMIP3 A2 and A1B simulated climate data on a 30-second grid of the northwest United States and southwest Canada, version 1.0"},{"id":438675,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7H70CWW","text":"USGS data release","linkHelpText":"Statistically-downscaled monthly historical (1901-2000) CRU TS 2.1 and projected future (2001-2099) CMIP3 A2 and A1B simulated temperature, precipitation, and sunshine data on a 30-second grid of the northwest United States and southwest Canada, version 1.0"},{"id":318024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -136.6,\n 38\n ],\n [\n -136.6,\n 58\n ],\n [\n -103,\n 58\n ],\n [\n -103,\n 38\n ],\n [\n -136.6,\n 38\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-21","publicationStatus":"PW","scienceBaseUri":"56c304cce4b0946c652087b4","contributors":{"authors":[{"text":"Shafer, Sarah 0000-0003-3739-2637 sshafer@usgs.gov","orcid":"https://orcid.org/0000-0003-3739-2637","contributorId":149866,"corporation":false,"usgs":true,"family":"Shafer","given":"Sarah","email":"sshafer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":620140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartlein, Patrick J.","contributorId":106879,"corporation":false,"usgs":true,"family":"Bartlein","given":"Patrick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":620141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Elizabeth M.","contributorId":166817,"corporation":false,"usgs":false,"family":"Gray","given":"Elizabeth","email":"","middleInitial":"M.","affiliations":[{"id":24533,"text":"The Nature Conservancy of Maryland/DC, Bethesda, Maryland","active":true,"usgs":false}],"preferred":false,"id":620142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pelltier, Richard T. 0000-0001-8322-7961 rtpelltier@usgs.gov","orcid":"https://orcid.org/0000-0001-8322-7961","contributorId":4683,"corporation":false,"usgs":true,"family":"Pelltier","given":"Richard","email":"rtpelltier@usgs.gov","middleInitial":"T.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":620143,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159409,"text":"70159409 - 2015 - Short-term response of Holcus lanatus L. (Common Velvetgrass) to chemical and manual control at Yosemite National Park, USA","interactions":[],"lastModifiedDate":"2015-10-27T10:53:56","indexId":"70159409","displayToPublicDate":"2015-10-20T11:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2100,"text":"Invasive Plant Science and Management","active":true,"publicationSubtype":{"id":10}},"title":"Short-term response of Holcus lanatus L. (Common Velvetgrass) to chemical and manual control at Yosemite National Park, USA","docAbstract":"

One of the highest priority invasive species at both Yosemite and Sequoia and Kings Canyon national parks is Holcus lanatus L. (common velvetgrass), a perennial bunchgrass that invades mid-elevation montane meadows. Despite velvetgrass being a high priority species, there is little information available on control techniques. The goal of this project was to evaluate the short-term response of a single application of common chemical and manual velvetgrass control techniques. The study was conducted at three montane sites in Yosemite National Park. Glyphosate spot-spray treatments were applied at 0.5, 1.0, 1.5, and 2.0% concentrations, and compared with hand pulling to evaluate effects on cover of common velvetgrass, cover of other plant species, and community species richness. Posttreatment year 1 cover of common velvetgrass was 12.1% ± 1.6 in control plots, 6.3% ± 1.5 averaged over the four chemical treatments (all chemical treatments performed similarly), and 13.6% ± 1.7 for handpulled plots. This represents an approximately 50% reduction in common velvetgrass cover in chemically- treated plots recoded posttreatment year 1 and no statistically significant reduction in hand pulled plots compared with controls. However, there was no treatment effect in posttreatment year 2, and all herbicide application rates performed similarly. In addition, there were no significant treatment effects on nontarget species or species richness. These results suggest that for this level of infestation and habitat type, (1) one year of hand pulling is not an effective control method and (2) glyphosate provides some level of control in the short-term without impact to nontarget plant species, but the effect is temporary as a single year of glyphosate treatment is ineffective over a two-year period.

","language":"English","publisher":"Weed Science Society of America","doi":"10.1614/IPSM-D-14-00060.1","usgsCitation":"Jones, L.J., Ostoja, S.M., Brooks, M.L., and Hutten, M., 2015, Short-term response of Holcus lanatus L. (Common Velvetgrass) to chemical and manual control at Yosemite National Park, USA: Invasive Plant Science and Management, v. 8, no. 3, p. 262-268, https://doi.org/10.1614/IPSM-D-14-00060.1.","productDescription":"7 p.","startPage":"262","endPage":"268","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2010-06-22","temporalEnd":"2012-06-30","ipdsId":"IP-056166","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":310667,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Yosemite National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.88281249999999,\n 37.5249753680482\n ],\n [\n -119.88281249999999,\n 38.112949789189614\n ],\n [\n -119.24972534179688,\n 38.112949789189614\n ],\n [\n -119.24972534179688,\n 37.5249753680482\n ],\n [\n -119.88281249999999,\n 37.5249753680482\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"5630a042e4b093cee7820422","contributors":{"authors":[{"text":"Jones, Laura J.","contributorId":149447,"corporation":false,"usgs":false,"family":"Jones","given":"Laura","email":"","middleInitial":"J.","affiliations":[{"id":17736,"text":"Ecologist, National Park Service, El Portal, CA","active":true,"usgs":false}],"preferred":false,"id":578437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ostoja, Steven M. sostoja@usgs.gov","contributorId":3039,"corporation":false,"usgs":true,"family":"Ostoja","given":"Steven","email":"sostoja@usgs.gov","middleInitial":"M.","affiliations":[{"id":33665,"text":"USDA California Climate Hub, UC Davis","active":true,"usgs":false},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":578438,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":578436,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hutten, Martin","contributorId":28651,"corporation":false,"usgs":true,"family":"Hutten","given":"Martin","email":"","affiliations":[],"preferred":false,"id":578439,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70160395,"text":"70160395 - 2015 - Responses of macroinvertebrate community metrics to a wastewater discharge in the Upper Blue River of Kansas and Missouri, USA","interactions":[],"lastModifiedDate":"2017-05-22T16:20:37","indexId":"70160395","displayToPublicDate":"2015-10-20T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5025,"text":"Journal of Water Resource and Protection","active":true,"publicationSubtype":{"id":10}},"title":"Responses of macroinvertebrate community metrics to a wastewater discharge in the Upper Blue River of Kansas and Missouri, USA","docAbstract":"

The Blue River Main wastewater treatment facility (WWTF) discharges into the upper Blue River (725 km2), and is recently upgraded to implement biological nutrient removal. We measured biotic condition upstream and downstream of the discharge utilizing the macroinvertebrate protocol developed for Kansas streams. We examined responses of 34 metrics to determine the best indicators for discriminating site differences and for predicting biological condition. Significant differences between sites upstream and downstream of the discharge were identified for 15 metrics in April and 12 metrics in August. Upstream biotic condition scores were significantly greater than scores at both downstream sites in April (p = 0.02), and in August the most downstream site was classified as non-biologically supporting. Thirteen EPT taxa (Ephemeroptera, Plecoptera, Trichoptera) considered intolerant of degraded stream quality were absent at one or both downstream sites. Increases in tolerance metrics and filtering macroinvertebrates, and a decline in ratio of scrapers to filterers all indicated effects of increased nutrient enrichment. Stepwise regressions identified several significant models containing a suite of metrics with low redundancy (R2 = 0.90 - 0.99). Based on the rapid decline in biological condition downstream of the discharge, the level of nutrient removal resulting from the facility upgrade (10% - 20%) was not enough to mitigate negative effects on macroinvertebrate communities.

","language":"English","publisher":"Scientific Research","doi":"10.4236/jwarp.2015.715098","usgsCitation":"Poulton, B.C., Graham, J., Rasmussen, T.J., and Stone, M.L., 2015, Responses of macroinvertebrate community metrics to a wastewater discharge in the Upper Blue River of Kansas and Missouri, USA: Journal of Water Resource and Protection, v. 7, p. 1195-1220, https://doi.org/10.4236/jwarp.2015.715098.","productDescription":"26 p.","startPage":"1195","endPage":"1220","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058489","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":471717,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4236/jwarp.2015.715098","text":"Publisher Index Page"},{"id":312751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas and Missouri","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.5783805847168,\n 38.899316235331575\n ],\n [\n -94.58473205566406,\n 38.89677787400279\n ],\n [\n -94.58610534667969,\n 38.89330417988778\n ],\n [\n -94.58215713500977,\n 38.88689075977245\n ],\n [\n -94.5897102355957,\n 38.8771359067301\n ],\n [\n -94.60533142089844,\n 38.86898356409656\n ],\n [\n -94.61219787597655,\n 38.85976093475425\n ],\n [\n -94.61357116699219,\n 38.84986866947367\n ],\n [\n -94.61580276489256,\n 38.8422480135733\n ],\n [\n -94.6113395690918,\n 38.84131208727261\n ],\n [\n -94.59846496582031,\n 38.85722116008798\n ],\n [\n -94.58232879638672,\n 38.876868631634224\n ],\n [\n -94.57700729370116,\n 38.88648990178886\n ],\n [\n -94.57923889160156,\n 38.894773840440934\n ],\n [\n -94.57769393920897,\n 38.89624347058238\n ],\n [\n -94.5783805847168,\n 38.899316235331575\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","edition":"15","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"567a8246e4b0a04ef490fd18","contributors":{"authors":[{"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":582825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":150737,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer L.","email":"jlgraham@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":582826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":582827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stone, Mandy L. 0000-0002-6711-1536 mstone@usgs.gov","orcid":"https://orcid.org/0000-0002-6711-1536","contributorId":4409,"corporation":false,"usgs":true,"family":"Stone","given":"Mandy","email":"mstone@usgs.gov","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":582828,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159144,"text":"70159144 - 2015 - Compound-specific sulfur isotope analysis of thiadiamondoids of oils from the Smackover Formation, USA","interactions":[],"lastModifiedDate":"2015-10-16T10:48:49","indexId":"70159144","displayToPublicDate":"2015-10-14T01:15:00","publicationYear":"2015","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":"Compound-specific sulfur isotope analysis of thiadiamondoids of oils from the Smackover Formation, USA","docAbstract":"

Thiadiamondoids (TDs) are diamond-like compounds with a sulfide bond located within the cage structure. These compounds were suggested as a molecular proxy for the occurrence and extent of thermochemical sulfate reduction (TSR). Compound-specific sulfur-isotope analysis of TDs may create a multi-parameter system, based on molecular and δ34S values that may be sensitive over a wider range of TSR and thermal maturation stages. In this study, we analyzed a suite of 12 Upper Jurassic oil and condensate samples generated from source rocks in the Smackover Formation to perform a systematic study of the sulfur isotope distribution in thiadiamondoids (one and two cages). For comparison we measured the δ34S composition of benzothiophenes (BTs) and dibenzothiophenes (DBTs). We also conducted pyrolysis experiments with petroleum and model compounds to have an insight into the formation mechanisms of TDs. The δ34S of the TDs varied significantly (ca 30‰) between the different oils depending on the degree of TSR alteration. The results showed that within the same oil, the one-cage TDs were relatively uniform, with 34S enriched values similar to those of the coexisting BTs. The two-cage TDs had more variable δ34S values that range from the δ34S values of BTs to those of the DBTs, but with general 34S depletion relative to one cage TDs. Hydrous pyrolysis experiments (360 °C, 40 h) with either CaSO4 or elemental S (equivalent S molar concentrations) and adamantane as a model compound demonstrate the formation of one cage TDs in relatively low yields (<0.2%). Higher concentrations of TDs were observed in the elemental sulfur experiments, most likely because of the higher rates of reaction with adamantane under these experimental conditions. These results show that the formation of TDs is not exclusive to TSR reactions, and that they can also form by reaction with reduced S species apart from sulfate reduction, though at low yields. Oxygenated compounds, most notably 2-thiaadamantanone and phenol, were also formed during these pyrolysis experiments. This may represent the first stage in the formation of sulfurized compounds and the oxidation of organic matter under TSR conditions. Pyrolysis experiments with elemental S and a TD-enriched oil showed that the δ34S values of the TDs did not change, whereas the BTs did change significantly. It is therefore concluded that TDs do not exchange S atoms with coexisting inorganic reduced sulfur species. They can only change their δ34S values via addition of newly generated TDs that form predominantly during TSR. We therefore suggest that TDs will preserve their δ34S values even under high-temperature reservoir conditions and will reflect the original sulfates δ34S value. The combination of TDs, BTs, and DBTs δ34S values and concentrations allowed for a more reliable detection of the occurrence and extent of TSR than either proxy alone. It showed that except for two oils, all of the oils that were measured in this study were affected by TSR or TSR-sourced H2S, to some degree. It is still not known if some of the oils with the lower concentrations of TDs and enriched δ34S values (close to sulfate minerals) were affected by TSR or by a secondary charge of 34S-enriched H2S.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2015.07.008","usgsCitation":"Gvirtzman, Z., Said-Ahmad, W., Ellis, G.S., Hill, R.J., J. Michael Moldowan, Wei, Z., and Alon Amrani, 2015, Compound-specific sulfur isotope analysis of thiadiamondoids of oils from the Smackover Formation, USA: Geochimica et Cosmochimica Acta, v. 167, p. 144-161, https://doi.org/10.1016/j.gca.2015.07.008.","productDescription":"17 p.","startPage":"144","endPage":"161","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064336","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":309975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":309959,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.gca.2015.07.008"}],"country":"United States","volume":"167","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56221face4b06217fc479214","contributors":{"authors":[{"text":"Gvirtzman, Zvi","contributorId":149269,"corporation":false,"usgs":false,"family":"Gvirtzman","given":"Zvi","email":"","affiliations":[{"id":17694,"text":"Institute of Earth Sciences, Hebrew University, Jerusalem 91904, Israel","active":true,"usgs":false}],"preferred":false,"id":577691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Said-Ahmad, Ward","contributorId":149270,"corporation":false,"usgs":false,"family":"Said-Ahmad","given":"Ward","email":"","affiliations":[{"id":17694,"text":"Institute of Earth Sciences, Hebrew University, Jerusalem 91904, Israel","active":true,"usgs":false}],"preferred":false,"id":577692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":577690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hill, Ronald J.","contributorId":149271,"corporation":false,"usgs":false,"family":"Hill","given":"Ronald","email":"","middleInitial":"J.","affiliations":[{"id":17695,"text":"EOG Resources, Denver, CO 80202 USA","active":true,"usgs":false}],"preferred":false,"id":577693,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"J. Michael Moldowan","contributorId":149272,"corporation":false,"usgs":false,"family":"J. Michael Moldowan","affiliations":[{"id":17696,"text":"Biomarker Technologies, Rohnert Park, CA 94928 USA","active":true,"usgs":false}],"preferred":false,"id":577694,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wei, Zhibin","contributorId":149273,"corporation":false,"usgs":false,"family":"Wei","given":"Zhibin","email":"","affiliations":[{"id":17697,"text":"ExxonMobil, Houston, TX USA","active":true,"usgs":false}],"preferred":false,"id":577695,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Alon Amrani","contributorId":149274,"corporation":false,"usgs":false,"family":"Alon Amrani","affiliations":[{"id":17694,"text":"Institute of Earth Sciences, Hebrew University, Jerusalem 91904, Israel","active":true,"usgs":false}],"preferred":false,"id":577696,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70173447,"text":"70173447 - 2015 - Translating climate change effects on species into everyday language: an example of more driving and less fishing","interactions":[],"lastModifiedDate":"2018-02-28T14:39:11","indexId":"70173447","displayToPublicDate":"2015-10-13T09:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Translating climate change effects on species into everyday language: an example of more driving and less fishing","docAbstract":"
Climate change is expected to result in widespread changes in species distributions (e.g., shifting, shrinking, expanding species ranges; e.g., Parmesan and Yohe, 2003), especially for freshwater fish species (Heino et al. 2009). Although anglers and other resource users could be greatly affected by changes in species distributions, predicted changes are rarely reported in ways that can be easily understood by the general public. In contrast, climate science that more directly affects human welfare or livelihoods is often more readily communicated to the general public because it is of greater concern or closely related to everyday life. For example, most people can readily interpret how increases in the number of “hot” days above a given temperature threshold might affect their lives, and property owners in coastal areas can use predictive maps to determine how they might be affected by sea level rise (for more examples, see the Third National Assessment of the U.S. Environmental Protection Agency at globalchange.gov). However, the effects of climate change on species are usually reported to the general public using summary metrics or maps designed to communicate concepts that are not normally encountered in everyday life, including changes in habitat suitability, range shifts, or increasing risks from disease or extreme events (e.g., National Audubon Society 2009; Groffman et al. 2014). Though these metrics are necessary, meaningful, and understood by scientists, many people lack the necessary training and background to readily understand them. Further, scientists and nonscientists alike may struggle to convert these metrics into a currency that directly affects day-to-day life.
\n
Climate science is a complex issue, and we argue that when communicating potential responses of vegetation, fish, and wildlife to nonscientists, creative thinking with respect to the currency of communication will facilitate discussions between scientists, policy makers, and the public. We posit that with some additional thought and relatively simple summaries, the responses of fish and other species to climate change can be translated into everyday language that will facilitate climate science communication. Although such translations are rare, one example of this type of creativity is the translation from changes in habitat suitability for tree species to potential reductions in maple syrup production (West over 2012), which is arguably more interesting and understandable for the general public. Similar translations could be especially important for communicating climate change effects on game fish and other species that are socially and economically important to large groups of people. We demonstrate this translation by communicating the potential effects of climate change on the distribution of a coldwater fish species, the eastern Brook Trout Salvelinus fontinalis. Rather than communicating the potential forecasted contraction of the Brook Trout's distribution in terms of habitat loss, we report the predicted increases in the driving distance to streams likely offering Brook Trout angling opportunities under a climate change scenario. Travel costs based on distance have been widely used to value ecosystem services such as angling under climate change scenarios (e.g., Pendleton and Mendelsohn 1998; Mendelsohn and Markowski 1999; Ahn et al. 2000) but, to the best of our knowledge, have not been used for communicating potential changes to the public despite the intrinsic link to everyday life.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/03632415.2015.1065252","usgsCitation":"Wagner, T., and Deweber, J.T., 2015, Translating climate change effects on species into everyday language: an example of more driving and less fishing: Fisheries, v. 40, no. 8, p. 395-398, https://doi.org/10.1080/03632415.2015.1065252.","productDescription":"3 p.","startPage":"395","endPage":"398","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057991","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York, Pennsylvania","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.0693359375,\n 39.06611426153784\n ],\n [\n -76.0693359375,\n 41.03378713521864\n ],\n [\n -71.63635253906249,\n 41.03378713521864\n ],\n [\n -71.63635253906249,\n 39.06611426153784\n ],\n [\n -76.0693359375,\n 39.06611426153784\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-05","publicationStatus":"PW","scienceBaseUri":"576913eee4b07657d19ff2bd","contributors":{"authors":[{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deweber, Jefferson T.","contributorId":171357,"corporation":false,"usgs":false,"family":"Deweber","given":"Jefferson","email":"","middleInitial":"T.","affiliations":[{"id":18170,"text":"Pennsylvania State University, University Park, PA","active":true,"usgs":false}],"preferred":false,"id":639808,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70159125,"text":"70159125 - 2015 - Bioaccumulation trends of arsenic and antimony in a freshwater ecosystem affected by mine drainage","interactions":[],"lastModifiedDate":"2017-11-22T17:40:52","indexId":"70159125","displayToPublicDate":"2015-10-08T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1529,"text":"Environmental Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Bioaccumulation trends of arsenic and antimony in a freshwater ecosystem affected by mine drainage","docAbstract":"

We compared As and Sb bioaccumulation and biomagnification when these metalloids co-occurred at varying environmental concentrations in a stream and wetlands near a contaminated mine site in Idaho (USA). We measured As and Sb concentrations in water and substrate samples, and in tissues of organisms representing several trophic levels. Bioaccumulation of both As and Sb was observed in stream organisms with the following trend of bio-diminution with increasing trophic level: primary producers > tadpoles > macroinvertebrates > trout. We also note reductions in metalloid concentrations in one of two stream remediation reaches engineered within the past 17 years to ameliorate metalloid contamination in the stream. Several wetlands contained thick microbial mats and were highly populated with boreal toad tadpoles that fed on them. The mats were extremely contaminated (up to 76 564 mg kg–1 As and 675 mg kg–1 Sb) with amorphous As- and Sb-bearing minerals that we interpret as biogenic precipitates from geomicrobiological As- and Sb-cycling. Ingested mat material provided a direct source of metalloids to tadpoles, and concentrations of 3867 mg kg–1 (As) and 375 mg kg–1 (Sb) reported here represent the highest whole body As and Sb levels ever reported in living tadpoles. The bulk of tadpole metalloid burden remained in the gut despite attempts to purge the tadpoles prior to analysis. This study adds to a number of recent investigations reporting bioaccumulation, but not biomagnification, of As and Sb in food webs. Moreover, our results suggest that tadpoles, in particular, may be more resistant to metalloid contamination than previously assumed.

","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/EN15046","usgsCitation":"Dovick, M.A., Kulp, T., Arkle, R.S., and Pilliod, D.S., 2015, Bioaccumulation trends of arsenic and antimony in a freshwater ecosystem affected by mine drainage: Environmental Chemistry, v. 13, no. 1, p. 149-159, https://doi.org/10.1071/EN15046.","productDescription":"11 p.","startPage":"149","endPage":"159","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061608","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":309977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56221face4b06217fc479210","contributors":{"authors":[{"text":"Dovick, Meghan A.","contributorId":149255,"corporation":false,"usgs":false,"family":"Dovick","given":"Meghan","email":"","middleInitial":"A.","affiliations":[{"id":17689,"text":"Department of Geological Sciences and Environmental Studies, Binghamton University, SUNY","active":true,"usgs":false}],"preferred":false,"id":577657,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kulp, Thomas R.","contributorId":58364,"corporation":false,"usgs":true,"family":"Kulp","given":"Thomas R.","affiliations":[],"preferred":false,"id":577658,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arkle, Robert S. 0000-0003-3021-1389 rarkle@usgs.gov","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":149256,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert","email":"rarkle@usgs.gov","middleInitial":"S.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":577659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pilliod, David S. 0000-0003-4207-3518 dpilliod@usgs.gov","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":149254,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","email":"dpilliod@usgs.gov","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":577656,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70158702,"text":"70158702 - 2015 - Water availability and subsidence in California's Central Valley","interactions":[],"lastModifiedDate":"2020-12-18T17:29:13.8648","indexId":"70158702","displayToPublicDate":"2015-10-06T14:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Water availability and subsidence in California's Central Valley","docAbstract":"

The Central Valley in California (USA) covers about 52,000 km2 and is one of the most productive agricultural regions in the world. This agriculture relies heavily on surface-water diversions and groundwater pumpage to meet irrigation water demand. Because the valley is semi-arid and surface-water availability varies substantially, agriculture relies heavily on local groundwater. In the southern two thirds of the valley, the San Joaquin Valley, historic and recent groundwater pumpage has caused significant and extensive drawdowns, aquifer-system compaction and subsidence. During recent drought periods (2007-2009 and 2012-present), groundwater pumping has increased owing to a combination of decreased surface-water availability and land-use changes. Declining groundwater levels, approaching or surpassing historical low levels, have caused accelerated and renewed compaction and subsidence that likely is mostly permanent. The subsidence has caused operational, maintenance, and construction-design problems for water-delivery and floodcontrol canals in the San Joaquin Valley. Planning for the effects of continued subsidence in the area is important for water agencies. As land use, managed aquifer recharge, and surface-water availability continue to vary, long-term groundwater- level and subsidence monitoring and modelling are critical to understanding the dynamics of historical and continued groundwater use resulting in additional water-level and groundwater storage declines, and associated subsidence. Modeling tools such as the Central Valley Hydrologic Model, can be used in the evaluation of management strategies to mitigate adverse impacts due to subsidence while also optimizing water availability. This knowledge will be critical for successful implementation of recent legislation aimed toward sustainable groundwater use. 

","language":"English","publisher":"University of California at Davis","doi":"10.1007/s10040-015-1339-x","usgsCitation":"Faunt, C.C., Sneed, M., Traum, J.A., and Brandt, J.T., 2015, Water availability and subsidence in California's Central Valley: San Francisco Estuary and Watershed Science, v. 13, no. 3, 8 p., https://doi.org/10.1007/s10040-015-1339-x.","productDescription":"8 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068386","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":471729,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-015-1339-x","text":"Publisher Index Page"},{"id":381504,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.05810546875,\n 40.70562793820589\n ],\n [\n -122.86010742187499,\n 40.38839687388361\n ],\n [\n -121.95922851562501,\n 37.93553306183642\n ],\n [\n -119.54223632812501,\n 35.074964853989556\n ],\n [\n -118.740234375,\n 35.0120020431607\n ],\n [\n -118.740234375,\n 36.10237644873644\n ],\n [\n -120.728759765625,\n 38.25543637637947\n ],\n [\n -122.05810546875,\n 40.70562793820589\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-17","publicationStatus":"PW","scienceBaseUri":"5614e2afe4b0ba4884c611a8","contributors":{"authors":[{"text":"Faunt, Claudia C. ccfaunt@usgs.gov","contributorId":149018,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia","email":"ccfaunt@usgs.gov","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":576574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sneed, Michelle 0000-0002-8180-382X micsneed@usgs.gov","orcid":"https://orcid.org/0000-0002-8180-382X","contributorId":149052,"corporation":false,"usgs":true,"family":"Sneed","given":"Michelle","email":"micsneed@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":576575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Traum, Jonathan A. 0000-0002-4787-3680 jtraum@usgs.gov","orcid":"https://orcid.org/0000-0002-4787-3680","contributorId":4780,"corporation":false,"usgs":true,"family":"Traum","given":"Jonathan","email":"jtraum@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brandt, Justin T. 0000-0002-9397-6824 jbrandt@usgs.gov","orcid":"https://orcid.org/0000-0002-9397-6824","contributorId":157,"corporation":false,"usgs":true,"family":"Brandt","given":"Justin","email":"jbrandt@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807112,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70158639,"text":"70158639 - 2015 - Response of the nitrogen-fixing lichen Lobaria pulmonaria to phosphorus, molybdenum, and vanadium","interactions":[],"lastModifiedDate":"2017-11-22T17:41:51","indexId":"70158639","displayToPublicDate":"2015-10-05T13:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Response of the nitrogen-fixing lichen Lobaria pulmonaria to phosphorus, molybdenum, and vanadium","docAbstract":"

Nitrogen-fixing lichens (cyanolichens) are an important source of nitrogen (N) in Pacific Northwest forests, but limitation of lichen growth by elements essential for N fixation is poorly understood. To investigate how nutrient limitation may affect cyanolichen growth rates, we fertilized a tripartite cyanobacterial lichen (Lobaria pulmonaria) and a green algal non-nitrogen fixing lichen (Usnea longissima) with the micronutrients molybdenum (Mo) and vanadium (V), both known cofactors for enzymes involved in N fixation, and the macronutrient phosphorus (P). We then grew treated lichens in the field for one year in western Oregon, USA. Lichen growth was very rapid for both species and did not differ across treatments, despite a previous demonstration of P-limitation in L. pulmonaria at a nearby location. To reconcile these disparate findings, we analyzed P, Mo, and V concentrations, natural abundance δ15N isotopes, %N and change in thallus N in Lobaria pulmonaria from both growth experiments. Nitrogen levels in deposition and in lichens could not explain the large difference in growth or P limitation observed between the two studies. Instead, we provide evidence that local differences in P availability may have caused site-specific responses of Lobaria to P fertilization. In the previous experiment, Lobaria had low background levels of P, and treatment with P more than doubled growth. In contrast, Lobaria from the current experiment had much higher background P concentrations, similar to P-treated lichens in the previous experiment, consistent with the idea that ambient variation in P availability influences the degree of P limitation in cyanolichens. We conclude that insufficient P, Mo, and V did not limit the growth of either cyanolichens or chlorolichens at the site of the current experiment. Our findings point to the need to understand landscape-scale variation in P availability to cyanolichens, and its effect on spatial patterns of cyanolichen nutrient limitation and N fixation.

","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1890/ES15-00140.1","usgsCitation":"Marks, J.A., Pett-Ridge, J., Perakis, S.S., Allen, J.L., and McCune, B., 2015, Response of the nitrogen-fixing lichen Lobaria pulmonaria to phosphorus, molybdenum, and vanadium: Ecosphere, v. 6, no. 9, Art 155: 17 p., https://doi.org/10.1890/ES15-00140.1.","productDescription":"Art 155: 17 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064227","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":471731,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es15-00140.1","text":"Publisher Index Page"},{"id":309578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","county":"Douglas County, Polk County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.6,\n 43\n ],\n [\n -123.6,\n 43.1\n ],\n [\n -123.5,\n 43.1\n ],\n [\n -123.5,\n 43\n ],\n [\n -123.6,\n 43\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.6,\n 44.7\n ],\n [\n -123.6,\n 44.8\n ],\n [\n -123.5,\n 44.8\n ],\n [\n -123.5,\n 44.7\n ],\n [\n -123.6,\n 44.7\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-25","publicationStatus":"PW","scienceBaseUri":"56139126e4b0ba4884c60f6c","contributors":{"authors":[{"text":"Marks, Jade A","contributorId":146930,"corporation":false,"usgs":false,"family":"Marks","given":"Jade","email":"","middleInitial":"A","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":576576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pett-Ridge, Julie","contributorId":146932,"corporation":false,"usgs":false,"family":"Pett-Ridge","given":"Julie","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":576577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perakis, Steven S. sperakis@usgs.gov","contributorId":3117,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":576578,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Jessica L","contributorId":149053,"corporation":false,"usgs":false,"family":"Allen","given":"Jessica","email":"","middleInitial":"L","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":576579,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCune, Bruce","contributorId":149054,"corporation":false,"usgs":false,"family":"McCune","given":"Bruce","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":576580,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70211112,"text":"70211112 - 2015 - Summer of Applied Geophysical Experience (SAGE): Training for our future geoscientists","interactions":[],"lastModifiedDate":"2020-07-15T13:43:09.107124","indexId":"70211112","displayToPublicDate":"2015-10-01T18:04:03","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2610,"text":"Leading Edge (Tulsa, OK)","active":true,"publicationSubtype":{"id":10}},"title":"Summer of Applied Geophysical Experience (SAGE): Training for our future geoscientists","docAbstract":"

Energy and natural resources are crucial to the sustainability of worldwide economies, security, and overall well-being. However, the future workforce in the energy and natural-resources sector is at risk, and meeting the challenges of this dwindling workforce requires well-educated geoscientists in exploration and applied geophysics and related geoscience and technology disciplines. Programs such as geophysical field courses that are supported by SEG and industry, in partnership with academic institutions and government laboratories, are important approaches to maintaining and enhancing expertise in exploration geophysics. One example of a geophysical field course devoted to educating our future workforce is the Summer of Applied Geophysical Experience (SAGE), a four-week program based in Santa Fe, New Mexico, designed to actively engage students in all phases of applied geophysical research. SAGE is a unique educational experience that combines teaching and research as a partnership among universities, industry, government agencies, and professional societies. SAGE teaches the principles and applications of refraction and reflection seismology, magnetics, gravity, GPS, heat flow, several electromagnetic (EM) methods, and ground-penetrating radar (GPR) in a field-based, hands-on setting. More than 850 students and qualified professionals have attended SAGE, many of whom have gone on to become leaders in academia, industry, and government. SAGE students are exposed to the exciting challenges that face earth scientists today, and they develop skills that are necessary to address the world's growing energy demands. Examples of SAGE research projects include mapping archaeological sites and tectonic structure and investigating water and geothermal resources in the Rio Grande rift.

","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/tle34101214.1","usgsCitation":"Baldridge, W., Bedrosian, P.A., Biehler, S., Braile, L., Ferguson, J., Folsom, M., Jiracek, G., Kelley, S.A., McPhee, D., Pellerin, L., and Snelson, C.M., 2015, Summer of Applied Geophysical Experience (SAGE): Training for our future geoscientists: Leading Edge (Tulsa, OK), v. 34, no. 10, p. 1214-1219, https://doi.org/10.1190/tle34101214.1.","productDescription":"6 p.","startPage":"1214","endPage":"1219","ipdsId":"IP-068332","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":376397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Baldridge, W.S.","contributorId":63956,"corporation":false,"usgs":true,"family":"Baldridge","given":"W.S.","affiliations":[],"preferred":false,"id":792803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":792804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Biehler, Shawn","contributorId":69168,"corporation":false,"usgs":true,"family":"Biehler","given":"Shawn","email":"","affiliations":[],"preferred":false,"id":792805,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Braile, L.W.","contributorId":85332,"corporation":false,"usgs":true,"family":"Braile","given":"L.W.","email":"","affiliations":[],"preferred":false,"id":792806,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ferguson, John","contributorId":196881,"corporation":false,"usgs":false,"family":"Ferguson","given":"John","affiliations":[],"preferred":false,"id":792807,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Folsom, Matthew","contributorId":229011,"corporation":false,"usgs":false,"family":"Folsom","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":792808,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jiracek, G.R.","contributorId":90121,"corporation":false,"usgs":true,"family":"Jiracek","given":"G.R.","email":"","affiliations":[],"preferred":false,"id":792809,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kelley, Shari A.","contributorId":216179,"corporation":false,"usgs":false,"family":"Kelley","given":"Shari","email":"","middleInitial":"A.","affiliations":[{"id":16150,"text":"New Mexico Bureau of Geology and Mineral Resources","active":true,"usgs":false}],"preferred":false,"id":792810,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McPhee, Darcy 0000-0002-5177-3068 dmcphee@usgs.gov","orcid":"https://orcid.org/0000-0002-5177-3068","contributorId":2621,"corporation":false,"usgs":true,"family":"McPhee","given":"Darcy","email":"dmcphee@usgs.gov","affiliations":[{"id":412,"text":"National Cooperative Geologic Mapping Program","active":false,"usgs":true}],"preferred":true,"id":792811,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pellerin, Louise","contributorId":20824,"corporation":false,"usgs":true,"family":"Pellerin","given":"Louise","email":"","affiliations":[],"preferred":false,"id":792812,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Snelson, Catherine M.","contributorId":106369,"corporation":false,"usgs":true,"family":"Snelson","given":"Catherine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":792813,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70191258,"text":"70191258 - 2015 - Soil geochemical survey of abandoned mining sites in the Eastern-Central Peloritani Mountains, Sicily, Italy","interactions":[],"lastModifiedDate":"2017-10-02T13:39:20","indexId":"70191258","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1758,"text":"Geochemistry: Exploration, Environment, Analysis","active":true,"publicationSubtype":{"id":10}},"title":"Soil geochemical survey of abandoned mining sites in the Eastern-Central Peloritani Mountains, Sicily, Italy","docAbstract":"

This investigation focused on topsoils (n = 122) and vertical profiles (n = 6) distributed over an area of 250 km2 in the eastern-central Peloritani Mountains, northeastern Sicily. Georeferenced concentration of 53 elements (including potentially harmful ones), determined by ICP-MS after an aqua regia leach, were used to produce geochemical maps by means of a GIS-aided spatial interpolation process. Results show that there are two distinct areas: the larger, located between the Fiumendinisi, Budali and Ali villages, and the other between C. Postlioni and Femmina Morta, which contain anomalous As (up to 727 mg/kg), Sb (up to 60 mg/kg), Ag (up to 1 mg/kg) and Au (up to 0.1 mg/kg) concentrations. Most of the investigated areas have high contamination levels for As, Zn, Sb, and Pb that exceed the threshold values (As = 20 mg/kg, Zn = 150 mg/kg, Sb = 10 mg/kg and Pb = 100 mg/kg) established for soils by the Italian Environmental Law (Decreto Legislativo 2006, number 152).

The isotopic ratios of 206Pb/207Pb and 208Pb/207Pb have been measured in selected soils on both leaches [using 1M HNO3–1.75M HCl (50:50)] and residues thereof. Soil leach reflects possible anthropogenic contamination, whereas soil residues indicate geogenic contributions. Results suggest that most of contamination in the soils is related to the presence of sulphide and sulphosalt rock-forming minerals in the surveyed area. The soil fraction contains a Pb value >1600 mg/kg and has ratios of 1.1695 for 206Pb/207Pb and 2.4606 for 208Pb/207Pb. Only one soil leach isotopic composition could reflect possible anthropogenic contamination. The correlation among As, Zn, Pb contents v. Pb isotopic signatures of 206Pb/207Pb indicates that surface and deep soils collected from profiles are dominated by geogenic compositions.

","language":"English","publisher":" Geological Society of London","doi":"10.1144/geochem2014-307","usgsCitation":"Consenza, A., Lima, A., Ayuso, R.A., Foley, N.K., Albanese, S., Messina, A., and De Vivo, B., 2015, Soil geochemical survey of abandoned mining sites in the Eastern-Central Peloritani Mountains, Sicily, Italy: Geochemistry: Exploration, Environment, Analysis, v. 15, no. 4, p. 361-372, https://doi.org/10.1144/geochem2014-307.","productDescription":"12 p.","startPage":"361","endPage":"372","ipdsId":"IP-066364","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":346316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"Peloritani Mountains, Sicily","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 15.200958251953125,\n 38.001303066958606\n ],\n [\n 15.481109619140625,\n 38.001303066958606\n ],\n [\n 15.481109619140625,\n 38.11132902233447\n ],\n [\n 15.200958251953125,\n 38.11132902233447\n ],\n [\n 15.200958251953125,\n 38.001303066958606\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-03","publicationStatus":"PW","scienceBaseUri":"59d35029e4b05fe04cc34d68","contributors":{"authors":[{"text":"Consenza, A.","contributorId":196819,"corporation":false,"usgs":false,"family":"Consenza","given":"A.","email":"","affiliations":[],"preferred":false,"id":711708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lima, A.","contributorId":196820,"corporation":false,"usgs":false,"family":"Lima","given":"A.","email":"","affiliations":[],"preferred":false,"id":711709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ayuso, Robert A. 0000-0002-8496-9534 rayuso@usgs.gov","orcid":"https://orcid.org/0000-0002-8496-9534","contributorId":2654,"corporation":false,"usgs":true,"family":"Ayuso","given":"Robert","email":"rayuso@usgs.gov","middleInitial":"A.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":711707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foley, Nora K. 0000-0003-0124-3509 nfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-0124-3509","contributorId":4010,"corporation":false,"usgs":true,"family":"Foley","given":"Nora","email":"nfoley@usgs.gov","middleInitial":"K.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":711710,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Albanese, S.","contributorId":196821,"corporation":false,"usgs":false,"family":"Albanese","given":"S.","email":"","affiliations":[],"preferred":false,"id":711711,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Messina, A.","contributorId":196822,"corporation":false,"usgs":false,"family":"Messina","given":"A.","affiliations":[],"preferred":false,"id":711712,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"De Vivo, B.","contributorId":196823,"corporation":false,"usgs":false,"family":"De Vivo","given":"B.","affiliations":[],"preferred":false,"id":711713,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70173619,"text":"70173619 - 2015 - Climate, water use, and land surface transformation in an irrigation intensive watershed - streamflow responses from 1950 through 2010","interactions":[],"lastModifiedDate":"2020-02-26T17:54:22","indexId":"70173619","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":680,"text":"Agricultural Water Management","active":true,"publicationSubtype":{"id":10}},"title":"Climate, water use, and land surface transformation in an irrigation intensive watershed - streamflow responses from 1950 through 2010","docAbstract":"

Climatic variability and land surface change have a wide range of effects on streamflow and are often difficult to separate. We analyzed long-term records of climate, land use and land cover, and re-constructed the water budget based on precipitation, groundwater levels, and water use from 1950 through 2010 in the Cimarron–Skeleton watershed and a portion of the Cimarron–Eagle Chief watershed in Oklahoma, an irrigation-intensive agricultural watershed in the Southern Great Plains, USA. Our results show that intensive irrigation through alluvial aquifer withdrawal modifies climatic feedback and alters streamflow response to precipitation. Increase in consumptive water use was associated with decreases in annual streamflow, while returning croplands to non-irrigated grasslands was associated with increases in streamflow. Along with groundwater withdrawal, anthropogenic-induced factors and activities contributed nearly half to the observed variability of annual streamflow. Streamflow was more responsive to precipitation during the period of intensive irrigation between 1965 and 1984 than the period of relatively lower water use between 1985 and 2010. The Cimarron River is transitioning from a historically flashy river to one that is more stable with a lower frequency of both high and low flow pulses, a higher baseflow, and an increased median flow due in part to the return of cropland to grassland. These results demonstrated the interrelationship among climate, land use, groundwater withdrawal and streamflow regime and the potential to design agricultural production systems and adjust irrigation to mitigate impact of increasing climate variability on streamflow in irrigation intensive agricultural watershed.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.agwat.2015.07.007","usgsCitation":"Dale, J., Zou, C., Andrews, W.J., Long, J.M., Liang, Y., and Qiao, L., 2015, Climate, water use, and land surface transformation in an irrigation intensive watershed - streamflow responses from 1950 through 2010: Agricultural Water Management, v. 160, p. 144-152, https://doi.org/10.1016/j.agwat.2015.07.007.","productDescription":"9 p.","startPage":"144","endPage":"152","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062619","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas, Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.5311279296875,\n 35.98689628443789\n ],\n [\n -97.701416015625,\n 35.58138418324621\n ],\n [\n -97.811279296875,\n 35.49198366469642\n ],\n [\n -98.7506103515625,\n 35.88459964717596\n ],\n [\n -99.4647216796875,\n 36.213255233061844\n ],\n [\n -99.5526123046875,\n 36.461054075054314\n ],\n [\n -99.11865234374999,\n 36.59347887826919\n ],\n [\n -98.3056640625,\n 36.4477991295848\n ],\n [\n -97.525634765625,\n 36.06686213257888\n ],\n [\n -97.52014160156249,\n 36.02244668175846\n ],\n [\n -97.5311279296875,\n 35.98689628443789\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"160","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5757f031e4b04f417c24da38","contributors":{"authors":[{"text":"Dale, Joseph","contributorId":171495,"corporation":false,"usgs":false,"family":"Dale","given":"Joseph","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":637689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zou, Chris B.","contributorId":31657,"corporation":false,"usgs":true,"family":"Zou","given":"Chris B.","affiliations":[],"preferred":false,"id":637690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andrews, William J. 0000-0003-4780-8835 wandrews@usgs.gov","orcid":"https://orcid.org/0000-0003-4780-8835","contributorId":328,"corporation":false,"usgs":true,"family":"Andrews","given":"William","email":"wandrews@usgs.gov","middleInitial":"J.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":637691,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":637692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Liang, Ye","contributorId":171496,"corporation":false,"usgs":false,"family":"Liang","given":"Ye","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":637693,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Qiao, Lei","contributorId":171497,"corporation":false,"usgs":false,"family":"Qiao","given":"Lei","email":"","affiliations":[],"preferred":false,"id":637694,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70176706,"text":"70176706 - 2015 - Development of the Global Earthquake Model’s neotectonic fault database","interactions":[],"lastModifiedDate":"2016-10-03T14:33:26","indexId":"70176706","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Development of the Global Earthquake Model’s neotectonic fault database","docAbstract":"

The Global Earthquake Model (GEM) aims to develop uniform, openly available, standards, datasets and tools for worldwide seismic risk assessment through global collaboration, transparent communication and adapting state-of-the-art science. GEM Faulted Earth (GFE) is one of GEM’s global hazard module projects. This paper describes GFE’s development of a modern neotectonic fault database and a unique graphical interface for the compilation of new fault data. A key design principle is that of an electronic field notebook for capturing observations a geologist would make about a fault. The database is designed to accommodate abundant as well as sparse fault observations. It features two layers, one for capturing neotectonic faults and fold observations, and the other to calculate potential earthquake fault sources from the observations. In order to test the flexibility of the database structure and to start a global compilation, five preexisting databases have been uploaded to the first layer and two to the second. In addition, the GFE project has characterised the world’s approximately 55,000 km of subduction interfaces in a globally consistent manner as a basis for generating earthquake event sets for inclusion in earthquake hazard and risk modelling. Following the subduction interface fault schema and including the trace attributes of the GFE database schema, the 2500-km-long frontal thrust fault system of the Himalaya has also been characterised. We propose the database structure to be used widely, so that neotectonic fault data can make a more complete and beneficial contribution to seismic hazard and risk characterisation globally.

","language":"English","publisher":"Springer","doi":"10.1007/s11069-015-1831-6","usgsCitation":"Christophersen, A., Litchfield, N., Berryman, K., Thomas, R., Basili, R., Wallace, L., Ries, W., Hayes, G.P., Haller, K., Yoshioka, T., Koehler, R., Clark, D., Wolfson-Schwehr, M., Boettcher, M.S., Villamor, P., Horspool, N., Ornthammarath, T., Zuniga, R., Langridge, R.M., Stirling, M.W., Goded, T., Costa, C., and Yeats, R., 2015, Development of the Global Earthquake Model’s neotectonic fault database: Natural Hazards, v. 79, no. 1, p. 111-135, https://doi.org/10.1007/s11069-015-1831-6.","productDescription":"25 p.","startPage":"111","endPage":"135","ipdsId":"IP-065198","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":329243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-06","publicationStatus":"PW","scienceBaseUri":"57f7ee36e4b0bc0bec09e90f","contributors":{"authors":[{"text":"Christophersen, Annemarie","contributorId":175090,"corporation":false,"usgs":false,"family":"Christophersen","given":"Annemarie","email":"","affiliations":[],"preferred":false,"id":649987,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Litchfield, Nicola","contributorId":175091,"corporation":false,"usgs":false,"family":"Litchfield","given":"Nicola","email":"","affiliations":[],"preferred":false,"id":649988,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berryman, Kelvin","contributorId":87068,"corporation":false,"usgs":true,"family":"Berryman","given":"Kelvin","email":"","affiliations":[],"preferred":false,"id":649989,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomas, Richard","contributorId":175107,"corporation":false,"usgs":false,"family":"Thomas","given":"Richard","affiliations":[],"preferred":false,"id":649990,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Basili, Roberto","contributorId":9760,"corporation":false,"usgs":true,"family":"Basili","given":"Roberto","affiliations":[],"preferred":false,"id":649991,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wallace, Laura","contributorId":175108,"corporation":false,"usgs":false,"family":"Wallace","given":"Laura","affiliations":[],"preferred":false,"id":649992,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ries, William","contributorId":175109,"corporation":false,"usgs":false,"family":"Ries","given":"William","email":"","affiliations":[],"preferred":false,"id":649993,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hayes, Gavin P. 0000-0003-3323-0112 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D.","contributorId":76993,"corporation":false,"usgs":true,"family":"Koehler","given":"Richard D.","affiliations":[],"preferred":false,"id":650093,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Clark, Dan","contributorId":175111,"corporation":false,"usgs":false,"family":"Clark","given":"Dan","email":"","affiliations":[],"preferred":false,"id":650094,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wolfson-Schwehr, Monica","contributorId":175112,"corporation":false,"usgs":false,"family":"Wolfson-Schwehr","given":"Monica","email":"","affiliations":[],"preferred":false,"id":650095,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Boettcher, Margaret S.","contributorId":53263,"corporation":false,"usgs":true,"family":"Boettcher","given":"Margaret","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":650096,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Villamor, Pilar","contributorId":175113,"corporation":false,"usgs":false,"family":"Villamor","given":"Pilar","email":"","affiliations":[],"preferred":false,"id":650097,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Horspool, Nick","contributorId":175114,"corporation":false,"usgs":false,"family":"Horspool","given":"Nick","email":"","affiliations":[],"preferred":false,"id":650098,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Ornthammarath, Teraphan","contributorId":175115,"corporation":false,"usgs":false,"family":"Ornthammarath","given":"Teraphan","email":"","affiliations":[],"preferred":false,"id":650099,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Zuniga, Ramon","contributorId":175116,"corporation":false,"usgs":false,"family":"Zuniga","given":"Ramon","email":"","affiliations":[],"preferred":false,"id":650100,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Langridge, Robert M.","contributorId":175117,"corporation":false,"usgs":false,"family":"Langridge","given":"Robert","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":650101,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Stirling, Mark W.","contributorId":175118,"corporation":false,"usgs":false,"family":"Stirling","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":650102,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Goded, Tatiana","contributorId":175119,"corporation":false,"usgs":false,"family":"Goded","given":"Tatiana","email":"","affiliations":[],"preferred":false,"id":650103,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Costa, Carlos","contributorId":45759,"corporation":false,"usgs":true,"family":"Costa","given":"Carlos","email":"","affiliations":[],"preferred":false,"id":650104,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Yeats, Robert","contributorId":175120,"corporation":false,"usgs":false,"family":"Yeats","given":"Robert","affiliations":[],"preferred":false,"id":650105,"contributorType":{"id":1,"text":"Authors"},"rank":23}]}} ,{"id":70191818,"text":"70191818 - 2015 - Temperature and depth mediate resource competition and apparent competition between Mysis diluviana and kokanee","interactions":[],"lastModifiedDate":"2017-10-18T10:41:49","indexId":"70191818","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Temperature and depth mediate resource competition and apparent competition between Mysis diluviana and kokanee","title":"Temperature and depth mediate resource competition and apparent competition between Mysis diluviana and kokanee","docAbstract":"

In many food webs, species in similar trophic positions can interact either by competing for resources or boosting shared predators (apparent competition), but little is known about how the relative strengths of these interactions vary across environmental gradients. Introduced Mysis diluviana shrimp interact with planktivorous fishes such as kokanee salmon (lacustrine Oncorhynchus nerka) through both of these pathways, and effective management depends on understanding which interaction is more limiting under different conditions. An “environmental matching” hypothesis predicts the ecological impacts of Mysis are maximized under cool conditions near its thermal optimum. In addition, we hypothesized Mysis is more vulnerable to predation by lake trout in relatively shallow waters, and therefore Mysis enhances lake trout density and limits kokanee through apparent competition more strongly in shallower habitats. We tested whether these hypotheses could explain food web differences between two connected lake basins, one relatively shallow and the other extremely deep. The shallower basin warmed faster, thermally excluded Mysis from surface waters for 75% longer, and supported 2.5–18 times greater seasonal production of cladoceran zooplankton than the deeper basin, standardized by surface area. Mysis consumed 14–22% less zooplankton in the shallower basin, and lower ratios of total planktivore consumption to zooplankton production (C:P) indicated less potential for resource competition with kokanee, consistent with environmental matching. Lake trout diets contained more Mysis in the shallower basin and at shallower sampling sites within both basins. The catch rate of lake trout was seven times greater and the predation risk for kokanee was 4–5 times greater in the shallower basin than in the deeper basin, consistent with stronger apparent competition in shallower habitats. Understanding how the strengths of these interactions are mediated by temperature and depth would enable managers to select appropriate strategies to address the unique combinations of conditions in hundreds of affected systems.

","language":"English","publisher":"Ecological Society of America","doi":"10.1890/14-1822.1","usgsCitation":"Schoen, E.R., Beauchamp, D.A., Buettner, A.R., and Overman, N.C., 2015, Temperature and depth mediate resource competition and apparent competition between Mysis diluviana and kokanee: Ecological Applications, v. 25, no. 7, p. 1962-1975, https://doi.org/10.1890/14-1822.1.","productDescription":"14 p.","startPage":"1962","endPage":"1975","ipdsId":"IP-058267","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":346832,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Lake Chelan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.98968505859374,\n 47.81315451752768\n ],\n [\n -119.9871826171875,\n 47.81315451752768\n ],\n [\n -119.9871826171875,\n 48.45835188280866\n ],\n [\n -120.98968505859374,\n 48.45835188280866\n ],\n [\n -120.98968505859374,\n 47.81315451752768\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e8683be4b05fe04cd4d22a","contributors":{"authors":[{"text":"Schoen, Erik R.","contributorId":184107,"corporation":false,"usgs":false,"family":"Schoen","given":"Erik","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":713261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beauchamp, David A. 0000-0002-3592-8381 fadave@usgs.gov","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":4205,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","email":"fadave@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":713225,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buettner, Anna R.","contributorId":197350,"corporation":false,"usgs":false,"family":"Buettner","given":"Anna","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":713262,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Overman, Nathanael C.","contributorId":197351,"corporation":false,"usgs":false,"family":"Overman","given":"Nathanael","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":713263,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70180992,"text":"70180992 - 2015 - Impact of wastewater infrastructure upgrades on the urban water cycle: Reduction in halogenated reaction byproducts following conversion from chlorine gas to ultraviolet light disinfection","interactions":[],"lastModifiedDate":"2018-09-12T16:57:07","indexId":"70180992","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Impact of wastewater infrastructure upgrades on the urban water cycle: Reduction in halogenated reaction byproducts following conversion from chlorine gas to ultraviolet light disinfection","docAbstract":"

The municipal wastewater treatment facility (WWTF) infrastructure of the United States is being upgraded to expand capacity and improve treatment, which provides opportunities to assess the impact of full-scale operational changes on water quality. Many WWTFs disinfect their effluent prior to discharge using chlorine gas, which reacts with natural and synthetic organic matter to form halogenated disinfection byproducts (HDBPs). Because HDBPs are ubiquitous in chlorine-disinfected drinking water and have adverse human health implications, their concentrations are regulated in potable water supplies. Less is known about the formation and occurrence of HDBPs in disinfected WWTF effluents that are discharged to surface waters and become part of the de facto wastewater reuse cycle. This study investigated HDBPs in the urban water cycle from the stream source of the chlorinated municipal tap water that comprises the WWTF inflow, to the final WWTF effluent disinfection process before discharge back to the stream. The impact of conversion from chlorine-gas to low-pressure ultraviolet light (UV) disinfection at a full-scale (68,000 m3 d−1 design flow) WWTF on HDBP concentrations in the final effluent was assessed, as was transport and attenuation in the receiving stream. Nutrients and trace elements (boron, copper, and uranium) were used to characterize the different urban source waters, and indicated that the pre-upgrade and post-upgrade water chemistry was similar and insensitive to the disinfection process. Chlorinated tap water during the pre-upgrade and post-upgrade samplings contained 11 (mean total concentration = 2.7 μg L−1; n=5) and 10 HDBPs (mean total concentration = 4.5 μg L−1), respectively. Under chlorine-gas disinfection conditions 13 HDBPs (mean total concentration = 1.4 μg L−1) were detected in the WWTF effluent, whereas under UV disinfection conditions, only one HDBP was detected. The chlorinated WWTF effluent had greater relative proportions of nitrogenous, brominated, and iodinated HDBPs than the chlorinated tap water. Conversion of the WWTF to UV disinfection reduced the loading of HDBPs to the receiving stream by >90%.

","language":"English","publisher":"Elsevier B.V.","doi":"10.1016/j.scitotenv.2015.04.112","usgsCitation":"Barber, L.B., Hladik, M., Vajda, A.M., Fitzgerald, K.C., and Douville, C., 2015, Impact of wastewater infrastructure upgrades on the urban water cycle: Reduction in halogenated reaction byproducts following conversion from chlorine gas to ultraviolet light disinfection: Science of the Total Environment, v. 529, p. 264-274, https://doi.org/10.1016/j.scitotenv.2015.04.112.","productDescription":"11 p.","startPage":"264","endPage":"274","ipdsId":"IP-065421","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":335186,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"529","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a00056e4b099f50d3e0467","contributors":{"authors":[{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":663082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hladik, Michelle 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":784,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":663083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vajda, Alan M.","contributorId":179189,"corporation":false,"usgs":false,"family":"Vajda","given":"Alan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":663084,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fitzgerald, Kevin C. kcfitzgerald@usgs.gov","contributorId":5534,"corporation":false,"usgs":true,"family":"Fitzgerald","given":"Kevin","email":"kcfitzgerald@usgs.gov","middleInitial":"C.","affiliations":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"preferred":true,"id":663085,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Douville, Chris","contributorId":179191,"corporation":false,"usgs":false,"family":"Douville","given":"Chris","email":"","affiliations":[],"preferred":false,"id":663086,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70159384,"text":"70159384 - 2015 - Localization and seasonal variation of blue pigment (sandercyanin) in walleye (Sander vitreus)","interactions":[],"lastModifiedDate":"2022-11-02T15:38:10.951368","indexId":"70159384","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Localization and seasonal variation of blue pigment (sandercyanin) in walleye (Sander vitreus)","title":"Localization and seasonal variation of blue pigment (sandercyanin) in walleye (Sander vitreus)","docAbstract":"

Several fish species, including the walleye (Sander vitreus), have “yellow” and “blue” color morphs. In S. vitreus, one source of the blue color has been identified as a bili-binding protein pigment (sandercyanin), found in surface mucus of the fish. Little is known about the production of the pigment or about its functions. We examined the anatomical localization and seasonal variation of sandercyanin in S. vitreus from a population in McKim Lake, northwestern Ontario, Canada. Skin sections were collected from 20 fish and examined histologically. Mucus was collected from 306 fish over 6 years, and the amount of sandercyanin was quantified spectrophotometrically. Sandercyanin was found solely on dorsal surfaces of the fish and was localized to novel cells in the epidermis, similar in appearance to secretory sacciform cells. Sandercyanin concentrations were significantly higher in fish collected in summer versus other seasons. Yellow and blue morphs did not differ in amounts of sandercyanin, suggesting that the observed blue color, in fact, arises from lack of yellow pigmentation in blue morphs. The function of the sandercyanin remains unclear, but roles in photoprotection and countershading are consistent with available data.

","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2014-0139","usgsCitation":"Schaefer, W., Schmitz, M., Blazer, V., Ehlinger, T., and Berges, J., 2015, Localization and seasonal variation of blue pigment (sandercyanin) in walleye (Sander vitreus): Canadian Journal of Fisheries and Aquatic Sciences, v. 72, no. 2, p. 281-289, https://doi.org/10.1139/cjfas-2014-0139.","productDescription":"9 p.","startPage":"281","endPage":"289","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055764","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":471752,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2014-0139","text":"Publisher Index Page"},{"id":310681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Ontario","otherGeospatial":"McKim Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.56341997646595,\n 50.90398420061527\n ],\n [\n -92.6137359176821,\n 50.90398420061527\n ],\n [\n -92.6137359176821,\n 50.876600963795056\n ],\n [\n -92.56341997646595,\n 50.876600963795056\n ],\n [\n -92.56341997646595,\n 50.90398420061527\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"72","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5630a03de4b093cee7820412","contributors":{"authors":[{"text":"Schaefer, Wayne","contributorId":149415,"corporation":false,"usgs":false,"family":"Schaefer","given":"Wayne","email":"","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":578330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmitz, Mark","contributorId":149416,"corporation":false,"usgs":false,"family":"Schmitz","given":"Mark","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":578331,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":149414,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":578329,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ehlinger, Tim","contributorId":149417,"corporation":false,"usgs":false,"family":"Ehlinger","given":"Tim","email":"","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":578332,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berges, John","contributorId":149418,"corporation":false,"usgs":false,"family":"Berges","given":"John","email":"","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":578333,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70159542,"text":"70159542 - 2015 - Preface to the special issue on gas hydrate drilling in the Eastern Nankai Trough","interactions":[],"lastModifiedDate":"2016-08-02T09:29:30","indexId":"70159542","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Preface to the special issue on gas hydrate drilling in the Eastern Nankai Trough","docAbstract":"

Methane hydrate traps enormous amounts of methane in frozen deposits in continental margin sediments, and these deposits have long been targeted for studies investigating their potential as an energy resource. As a concentrated form of methane that occurs at shallower depths than conventional and most unconventional gas reservoirs, methane hydrates could be a readily accessible source of hydrocarbons for countries hosting deposits within their Exclusive Economic Zones. Japan is one such country, and since 2001 the Research Consortium for Methane Hydrate Resources in Japan (referred to as MH21) has conducted laboratory, modeling, and field-based programs to study methane hydrates as an energy resource. The MH21 consortium is funded by the Japanese Ministry of Trade and Industry (METI) and led by the Japan Oil, Gas and Metals National Oil Corporation (JOGMEC) and the National Institute of Advanced Industrial Science and Technology (AIST).

","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2015.08.026","usgsCitation":"Yamamoto, K., and Ruppel, C., 2015, Preface to the special issue on gas hydrate drilling in the Eastern Nankai Trough: Marine and Petroleum Geology, v. 66, no. 2, p. 295-295, https://doi.org/10.1016/j.marpetgeo.2015.08.026.","productDescription":"1 p.","startPage":"295","endPage":"295","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066919","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":311168,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"66","issue":"2","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56432350e4b0aafbcd01802a","contributors":{"authors":[{"text":"Yamamoto, Koji","contributorId":72709,"corporation":false,"usgs":true,"family":"Yamamoto","given":"Koji","email":"","affiliations":[],"preferred":false,"id":644203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruppel, Carolyn D. 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":145770,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn D.","email":"cruppel@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":579488,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70158982,"text":"70158982 - 2015 - Geochemical legacies and the future health of cities: A tale of two neurotoxins in urban soils","interactions":[],"lastModifiedDate":"2015-10-13T12:33:30","indexId":"70158982","displayToPublicDate":"2015-10-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3888,"text":"Elementa: Science of the Anthropocene","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical legacies and the future health of cities: A tale of two neurotoxins in urban soils","docAbstract":"

The past and future of cities are inextricably linked, a linkage that can be seen clearly in the long-term impacts of urban geochemical legacies. As loci of population as well as the means of employment and industry to support these populations, cities have a long history of co-locating contaminating practices and people, sometimes with negative implications for human health. Working at the intersection between environmental processes, communities, and human health is critical to grapple with environmental legacies and to support healthy, sustainable, and growing urban populations. An emerging area of environmental health research is to understand the impacts of chronic exposures and exposure mixtures—these impacts are poorly studied, yet may pose a significant threat to population health.

\n

Acute exposure to lead (Pb), a powerful neurotoxin to which children are particularly susceptible, has largely been eliminated in the U.S. and other countries through policy-based restrictions on leaded gasoline and lead-based paints. But the legacy of these sources remains in the form of surface soil Pb contamination, a common problem in cities and one that has only recently emerged as a widespread chronic exposure mechanism in cities. Some urban soils are also contaminated with another neurotoxin, mercury (Hg). The greatest human exposure to Hg is through fish consumption, so eating fish caught in urban areas presents risks for toxic Hg exposure. The potential double impact of chronic exposure to these two neurotoxins is pronounced in cities. Overall, there is a paradigmatic shift from reaction to and remediation of acute exposures towards a more nuanced understanding of the dynamic cycling of persistent environmental contaminants with resultant widespread and chronic exposure of inner-city dwellers, leading to chronic toxic illness and disability at substantial human and social cost.

","language":"English","publisher":"Elementa","doi":"10.12952/journal.elementa.000059","usgsCitation":"Fillipelli, G.M., Risch, M.R., Laidlaw, M.A., Nichols, D.E., and Crewe, J., 2015, Geochemical legacies and the future health of cities: A tale of two neurotoxins in urban soils: Elementa: Science of the Anthropocene, 19 p., https://doi.org/10.12952/journal.elementa.000059.","productDescription":"19 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066161","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":471747,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.12952/journal.elementa.000059","text":"Publisher Index Page"},{"id":309840,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana","city":"Indianapolis","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.38137817382812,\n 39.590873865955906\n ],\n [\n -86.38137817382812,\n 40.00026797264677\n ],\n [\n -85.89248657226562,\n 40.00026797264677\n ],\n [\n -85.89248657226562,\n 39.590873865955906\n ],\n [\n -86.38137817382812,\n 39.590873865955906\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-24","publicationStatus":"PW","scienceBaseUri":"561e2b34e4b0cdb063e59ccc","contributors":{"authors":[{"text":"Fillipelli, Gabriel M.","contributorId":149162,"corporation":false,"usgs":false,"family":"Fillipelli","given":"Gabriel","email":"","middleInitial":"M.","affiliations":[{"id":17660,"text":"IUPUI (Indiana University-Purdue University at Indianapolis)","active":true,"usgs":false}],"preferred":false,"id":577132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Risch, Martin R. 0000-0002-7908-7887 mrrisch@usgs.gov","orcid":"https://orcid.org/0000-0002-7908-7887","contributorId":2118,"corporation":false,"usgs":true,"family":"Risch","given":"Martin","email":"mrrisch@usgs.gov","middleInitial":"R.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":577131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laidlaw, Mark A. S.","contributorId":149163,"corporation":false,"usgs":false,"family":"Laidlaw","given":"Mark","email":"","middleInitial":"A. S.","affiliations":[{"id":17661,"text":"Royal Melbourne Institute of Technology (RMIT University)","active":true,"usgs":false}],"preferred":false,"id":577133,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nichols, Deborah E.","contributorId":149164,"corporation":false,"usgs":false,"family":"Nichols","given":"Deborah","email":"","middleInitial":"E.","affiliations":[{"id":17660,"text":"IUPUI (Indiana University-Purdue University at Indianapolis)","active":true,"usgs":false}],"preferred":false,"id":577134,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crewe, Julie","contributorId":149165,"corporation":false,"usgs":false,"family":"Crewe","given":"Julie","email":"","affiliations":[{"id":17660,"text":"IUPUI (Indiana University-Purdue University at Indianapolis)","active":true,"usgs":false}],"preferred":false,"id":577135,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70173601,"text":"70173601 - 2015 - Long-term trends in reservoir water quality and quantity in two major river basins of the southern Great Plains","interactions":[],"lastModifiedDate":"2026-03-09T14:21:57.964198","indexId":"70173601","displayToPublicDate":"2015-09-30T01:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5096,"text":"Land and Reservoir Management","onlineIssn":" 2151-553","printIssn":"1040-2381","active":true,"publicationSubtype":{"id":10}},"title":"Long-term trends in reservoir water quality and quantity in two major river basins of the southern Great Plains","docAbstract":"

Trends in water quality and quantity were assessed for 11 major reservoirs of the Brazos and Colorado river basins in the southern Great Plains (maximum period of record, 1965–2010). Water quality, major contributing-stream inflow, storage, local precipitation, and basin-wide total water withdrawals were analyzed. Inflow and storage decreased and total phosphorus increased in most reservoirs. The overall, warmest-, or coldest-monthly temperatures increased in 7 reservoirs, decreased in 1 reservoir, and did not significantly change in 3 reservoirs. The most common monotonic trend in salinity-related variables (specific conductance, chloride, sulfate) was one of no change, and when significant change occurred, it was inconsistent among reservoirs. No significant change was detected in monthly sums of local precipitation. Annual water withdrawals increased in both basins, but the increase was significant (P < 0.05) only in the Colorado River and marginally significant (P < 0.1) in the Brazos River. Salinity-related variables dominated spatial variability in water quality data due to the presence of high- and low-salinity reservoirs in both basins. These observations present a landscape in the Brazos and Colorado river basins where, in the last ∼40 years, reservoir inflow and storage generally decreased, eutrophication generally increased, and water temperature generally increased in at least 1 of 3 temperature indicators evaluated. Because local precipitation remained generally stable, observed reductions in reservoir inflow and storage during the study period may be attributable to other proximate factors, including increased water withdrawals (at least in the Colorado River basin) or decreased runoff from contributing watersheds.

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