This report delineates the Pahute Mesa–Oasis Valley (PMOV) groundwater basin, where recharge occurs, moves downgradient, and discharges to Oasis Valley, Nevada. About 5,900 acre-feet of water discharges annually from Oasis Valley, an area of springs and seeps near the town of Beatty in southern Nevada. Radionuclides in groundwater beneath Pahute Mesa, an area of historical underground nuclear testing at the Nevada National Security Site, are believed to be migrating toward Oasis Valley. Delineating the boundary of the PMOV groundwater basin is necessary to adequately assess the potential for transport of radionuclides from Pahute Mesa to Oasis Valley.
The PMOV contributing area is defined based on regional water-level contours, geologic controls, and knowledge of adjacent flow systems. The viability of this area as the contributing area to Oasis Valley and the absence of significant interbasin flow between the PMOV groundwater basin and adjacent basins are shown regionally and locally. Regional constraints on the location of the contributing area boundary and on the absence of interbasin groundwater flow are shown by balancing groundwater discharges in the PMOV groundwater basin and adjacent basins against available water from precipitation. Internal consistency for the delineated contributing area is shown by matching measured water levels, groundwater discharges, and transmissivities with simulated results from a single-layer, steady-state, groundwater-flow model. An alternative basin boundary extending farther north than the final boundary was rejected based on a poor chloride mass balance and a large imbalance in the northern area between preferred and simulated recharge.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155175","collaboration":"Prepared in cooperation with the U.S. Department of Energy, National Nuclear Security Administration Nevada Site Office, Office of Environmental Management, under Interagency Agreement, DE-NA0001654","usgsCitation":"Fenelon, J.M., Halford, K.J., and Moreo, M.T., 2016, Delineation of the Pahute Mesa–Oasis Valley groundwater basin, Nevada (ver. 1.1, May 2016): U.S. Geological Survey Scientific Investigations Report 2015–5175, 40 p., https://dx.doi.org/10.3133/sir20155175.","productDescription":"Report: vi, 40 p.; Plate: 21.08 x 32.62 inches; Appendix B; Model Archive","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-033349","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":438642,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7N58JFQ","text":"USGS data release","linkHelpText":"Appendix C of Scientific Investigations Report 2015-5175, Model archive of Pahute Mesa - Oasis Valley groundwater flow model"},{"id":314707,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5175/sir20155175_appendixB_BasinBALANCE.zip","text":"Appendix B","size":"1.7 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2015-5175 Appendix B zip"},{"id":314708,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2015/5175/sir20155175_plate1.pdf","text":"Plate 1","size":"3.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5175 Plate 1 PDF"},{"id":314709,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://dx.doi.org/10.5066/F7N58JFQ","text":"Model Archive"},{"id":314817,"rank":6,"type":{"id":23,"text":"Spatial Data"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/sir2015_5175_WLcontours.xml","text":"Water-level altitude contours of Pahute Mesa-Oasis Valley and surrounding groundwater basins, Nevada and California"},{"id":314705,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5175/sir20155175.pdf","text":"Report","size":"5.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5175 PDF"},{"id":314706,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5175/coverthb2.jpg"},{"id":314818,"rank":7,"type":{"id":23,"text":"Spatial Data"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/sir2015_5175_GWbasins.xml","text":"Pahute Mesa-Oasis Valley and surrounding groundwater basins, Nevada and California"},{"id":321195,"rank":8,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2015/5175/versionHist.txt"}],"country":"United States","state":"California, Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.94921874999999,\n 35.951329861522666\n ],\n [\n -117.94921874999999,\n 38.28131307922969\n ],\n [\n -115.521240234375,\n 38.28131307922969\n ],\n [\n -115.521240234375,\n 35.951329861522666\n ],\n [\n -117.94921874999999,\n 35.951329861522666\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1: Originally posted January 22, 2016; Version 1.1: May 12, 2016","contact":"Director, Nevada Water Science Center
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The Pacific Gas and Electric Company (PG&E) Hinkley compressor station, in the Mojave Desert 80 miles northeast of Los Angeles, is used to compress natural gas as it is transported through a pipeline from Texas to California. Between 1952 and 1964, cooling water used at the compressor station was treated with a compound containing chromium to prevent corrosion. After cooling, the wastewater was discharged to unlined ponds, resulting in contamination of soil and groundwater in the underlying alluvial aquifer (Lahontan Regional Water Quality Control Board, 2013). Since 1964, cooling-water management practices have been used that do not contribute chromium to groundwater.
In 2007, a PG&E study of the natural background concentrations of hexavalent chromium, Cr(VI), in groundwater estimated average concentrations in the Hinkley area to be 1.2 micrograms per liter (μg/L), with a 95-percent upper-confidence limit of 3.1 μg/L (CH2M-Hill, 2007). The 3.1 μg/L upper-confidence limit was adopted by the Lahontan Regional Water Quality Control Board (RWQCB) as the maximum background concentration used to map the plume extent. In response to criticism of the study’s methodology, and an increase in the mapped extent of the plume between 2008 and 2011, the Lahontan RWQCB (Lahontan Regional Water Quality Control Board, 2012) agreed that the 2007 PG&E background-concentration study be updated.
The purpose of the updated background study is to evaluate the presence of natural and man-made Cr(VI) near Hinkley, Calif. The study also is to estimate natural background Cr(VI) concentrations in the aquifer upgradient and downgradient from the mapped Cr(VI) contamination plume, as well as in the plume and near its margins. The study was developed by the U.S. Geological Survey (USGS) in collaboration with a technical working group (TWG) composed of community members, the Independent Review Panel (IRP) Manager (Project Navigator, Ltd.), the Lahontan RWQCB, PG&E, and consultants for PG&E.&E.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161004","collaboration":"Prepared in cooperation with the Lahontan Regional Water Quality Control Board","usgsCitation":"Izbicki, J.A., and Groover, Krishangi, A Plan for Study of Hexavalent Chromium, Cr(VI), in Groundwater near a Mapped Plume, Hinkley, California, 2016: U.S. Geological Survey Open-File Report 2016-1004, 12 p., https://dx.doi.org/10.3133/ofr20161004.","productDescription":"12 p.","numberOfPages":"12","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-069161","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":314699,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1004/ofr20161004.pdf","text":"Report","size":"3.2 MB","description":"OFR 2016-1004 PDF"},{"id":314700,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1004/coverthb.jpg"}],"country":"United States","state":"California","city":"Hinkley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.21931457519533,\n 34.87860836385923\n ],\n [\n -117.21931457519533,\n 35.030558627895005\n ],\n [\n -117.12593078613283,\n 35.030558627895005\n ],\n [\n -117.12593078613283,\n 34.87860836385923\n ],\n [\n -117.21931457519533,\n 34.87860836385923\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, California Water Science Center
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Life history traits were compared among four morphs of lake trout at Isle Royale, Lake Superior. Of 738 lake trout caught at Isle Royale, 701 were assigned to a morph (119 humpers, 160 leans, 85 redfins, and 337 siscowets) using a combination of statistical analysis of head and body shape and visual assignment. On average, redfins were longer (544 mm), heavier (1,481 g), heavier at length (Wr = 94), more buoyant, and older (22 years) than siscowets (519 mm; 1,221 g; 90; 19 years), leans (479 mm; 854 g; 82; 13 years), and humpers (443 mm; 697 g; 87; 17 years). On average, leans grew from a younger age at length = 0 and shorter length at age = 0, at a faster early growth rate to a longer asymptotic length than the other three morphs, while redfins grew at a slower instantaneous rate and humpers grew to a shorter asymptotic length than other morphs. On average, leans were longer (562 mm) and older (15 years) at 50% maturity than redfins (427 mm, 12 years), siscowets (401 mm, 11 years), or humpers (394 mm, 13 years). Life history parameters did not differ between males and females within each morph. We conclude that differences in life history attributes of lean, humper, redfin, and siscowet morphs of lake trout are consistent with differential habitat use in waters around Isle Royale, Lake Superior.
","language":"English","publisher":"International Association for Great Lakes Research","doi":"10.1016/j.jglr.2015.12.011","usgsCitation":"Hansen, M.J., Nate, N.A., Muir, A., Bronte, C.R., Zimmerman, M.S., and Krueger, C., 2016, Life history variation among four lake trout morphs at Isle Royale, Lake Superior: Journal of Great Lakes Research, v. 42, no. 2, p. 421-432, https://doi.org/10.1016/j.jglr.2015.12.011.","productDescription":"12 p.","startPage":"421","endPage":"432","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071349","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":315068,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Isle Royale","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.406982421875,\n 48.08908799881762\n ],\n [\n -88.33969116210938,\n 48.159673376126634\n ],\n [\n -88.28887939453125,\n 48.25028349849022\n ],\n [\n -88.3245849609375,\n 48.26948322200042\n ],\n [\n -88.42483520507812,\n 48.25211235426607\n ],\n [\n -88.57452392578125,\n 48.23016176791893\n ],\n [\n -88.74481201171875,\n 48.16516946195868\n ],\n [\n -88.8409423828125,\n 48.08266633622704\n ],\n [\n -88.99337768554688,\n 48.03310084552225\n ],\n [\n -89.08401489257812,\n 47.98808345357488\n ],\n [\n -89.2364501953125,\n 47.945786463687185\n ],\n [\n -89.36141967773438,\n 47.89516850516946\n ],\n [\n -89.47402954101561,\n 47.823298103444806\n ],\n [\n -89.50836181640625,\n 47.759637380334595\n ],\n [\n -89.47265625,\n 47.71992531014397\n ],\n [\n -89.34768676757812,\n 47.73932336136857\n ],\n [\n -89.15817260742188,\n 47.79562911029222\n ],\n [\n -88.73245239257812,\n 47.85648143832489\n ],\n [\n -88.516845703125,\n 47.931986477556784\n ],\n [\n -88.45367431640624,\n 48.03034580796616\n ],\n [\n -88.406982421875,\n 48.08908799881762\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56ac9b69e4b0403299f53a82","contributors":{"authors":[{"text":"Hansen, Michael J. 0000-0001-8522-3876 michaelhansen@usgs.gov","orcid":"https://orcid.org/0000-0001-8522-3876","contributorId":5006,"corporation":false,"usgs":true,"family":"Hansen","given":"Michael","email":"michaelhansen@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":590207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nate, Nancy A.","contributorId":26626,"corporation":false,"usgs":true,"family":"Nate","given":"Nancy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":590208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muir, Andrew M.","contributorId":103933,"corporation":false,"usgs":false,"family":"Muir","given":"Andrew M.","affiliations":[],"preferred":false,"id":590209,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bronte, Charles R.","contributorId":83050,"corporation":false,"usgs":true,"family":"Bronte","given":"Charles","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":590210,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zimmerman, Mara S.","contributorId":152687,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Mara","email":"","middleInitial":"S.","affiliations":[{"id":13269,"text":"Washington Department of Fish & Wildlife","active":true,"usgs":false}],"preferred":false,"id":590211,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Krueger, Charles C.","contributorId":73131,"corporation":false,"usgs":true,"family":"Krueger","given":"Charles C.","affiliations":[],"preferred":false,"id":590212,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70188505,"text":"70188505 - 2016 - Stratigraphic revision of the Cooper Group and the Chandler and Edisto Formations in the Coastal Plain of South Carolina","interactions":[],"lastModifiedDate":"2017-06-14T12:52:57","indexId":"70188505","displayToPublicDate":"2016-01-22T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5365,"text":"South Carolina Geology ","active":true,"publicationSubtype":{"id":10}},"title":"Stratigraphic revision of the Cooper Group and the Chandler and Edisto Formations in the Coastal Plain of South Carolina","docAbstract":"No abstract available.
","language":"English","usgsCitation":"Weems, R.E., Albright, B., Bybell, L.M., Cicimurri, D.J., Edwards, L.E., Harris, W., Lewis, W.C., Osborne, J.E., Sanders, A.E., and Self-Trail, J., 2016, Stratigraphic revision of the Cooper Group and the Chandler and Edisto Formations in the Coastal Plain of South Carolina: South Carolina Geology , v. 49, p. 1-24.","productDescription":"24 p.","startPage":"1","endPage":"24","ipdsId":"IP-058461","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":342491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina 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However, recent investigations have shown that other species, including passerine songbirds, may also be at risk from exposure to methylmercury (MeHg). We quantified Hg concentrations in eggs of two species of songbirds, red-winged blackbirds (Agelaius phoeniceus) and tree swallows (Tachycineta bicolor), nesting in Voyageurs National Park, Minnesota, USA. Geometric mean concentrations of total Hg (THg) were lower in red-winged blackbird eggs [218 and 107 ng/g dry weight (dw) for 2012 and 2013, respectively] than in tree swallow eggs (228 and 300 ng/g dw for 2012 and 2013, respectively), presumably reflecting differences in the trophic positions of these two species. Concentrations of MeHg averaged 98.4 % of THg in red-winged blackbird eggs. Levels of THg observed in this study were well below critical toxicological benchmarks commonly applied to eggs of avian species, suggesting these breeding populations were not adversely affected by exposure to MeHg. In red-winged blackbirds, concentrations of THg in eggs collected in 2012 were twice those in eggs collected in 2013. Hg levels in eggs of both species increased with date of clutch initiation. In red-winged blackbirds, for example, temporal patterns showed that a 3-week delay in clutch initiation increased egg THg by 60 %. These observations indicate that in ovo exposure of wetland birds to MeHg can vary significantly within nesting season as well as between years.
","language":"English","publisher":"Springer","doi":"10.1007/s00244-016-0263-y","usgsCitation":"Tyser, R.W., Rolfhus, K.R., Wiener, J.G., Windels, S.K., Custer, T.W., and Dummer, P.M., 2016, Mercury concentrations in eggs of red-winged blackbirds and tree swallows breeding in Voyageurs National Park, Minnesota: Archives of Environmental Contamination and Toxicology, v. 71, no. 1, p. 16-25, https://doi.org/10.1007/s00244-016-0263-y.","productDescription":"10 p.","startPage":"16","endPage":"25","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065510","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":314820,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Voyageurs National Park","geographicExtents":"{\n \"type\": 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,{"id":70162379,"text":"70162379 - 2016 - Differences in energy expenditures and growth dilution explain higher PCB concentrations in male summer flounder","interactions":[],"lastModifiedDate":"2018-08-08T10:34:26","indexId":"70162379","displayToPublicDate":"2016-01-21T16:30:00","publicationYear":"2016","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":"Differences in energy expenditures and growth dilution explain higher PCB concentrations in male summer flounder","docAbstract":"Comparison of polychlorinated biphenyl (PCB) concentrations between the sexes of mature fish may reveal important behavioral and physiological differences between the sexes. We determined whole-fish PCB concentrations in 23 female summer flounder Paralichthys dentatusand 27 male summer flounder from New Jersey coastal waters. To investigate the potential for differences in diet or habitat utilization between the sexes, carbon and nitrogen stable isotope ratios were also determined. In 5 of the 23 female summer flounder, PCB concentrations in the somatic tissue and ovaries were determined. In addition, we used bioenergetics modeling to assess the contribution of the growth dilution effect to the observed difference in PCB concentrations between the sexes. Whole-fish PCB concentrations for females and males averaged 87 and 124 ng/g, respectively; thus males were 43% higher in PCB concentration compared with females. Carbon and nitrogen stable isotope ratios did not significantly differ between the sexes, suggesting that diet composition and habitat utilization did not vary between the sexes. Based on PCB determinations in the somatic tissue and ovaries, we predicted that PCB concentration of females would increase by 0.6%, on average, immediately after spawning due to release of eggs. Thus, the change in PCB concentration due to release of eggs did not explain the higher PCB concentrations observed in males. Bioenergetics modeling results indicated that the growth dilution effect could account for males being 19% higher in PCB concentration compared with females. Thus, the bulk of the observed difference in PCB concentrations between the sexes was not explained by growth dilution. We concluded that a higher rate of energy expenditure in males, stemming from greater activity and a greater resting metabolic rate, was most likely the primary driver for the observed difference in PCB concentrations between the sexes.
","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0147223","usgsCitation":"Madenjian, C.P., Jensen, O.P., Rediske, R.R., O'Keefe, J., Vastano, A.R., and Pothoven, S.A., 2016, Differences in energy expenditures and growth dilution explain higher PCB concentrations in male summer flounder: PLoS ONE, v. 11, no. 1, p. 1-20, https://doi.org/10.1371/journal.pone.0147223.","productDescription":"e0147223; 20 p.","startPage":"1","endPage":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068626","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":471314,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0147223","text":"Publisher Index Page"},{"id":314703,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.05334472656249,\n 40.613952441166596\n ],\n [\n -74.432373046875,\n 40.6723059714534\n ],\n [\n -74.9212646484375,\n 40.34654412118006\n ],\n [\n -74.7125244140625,\n 40.157885249506506\n ],\n [\n -74.8388671875,\n 40.094882122321174\n ],\n [\n -75.0860595703125,\n 39.985538414809746\n ],\n [\n -75.1409912109375,\n 39.90130858574735\n ],\n [\n -75.41015624999999,\n 39.7958755252971\n ],\n [\n -75.531005859375,\n 39.6606850221923\n ],\n [\n -75.5145263671875,\n 39.5633531658293\n ],\n [\n -75.5419921875,\n 39.46164364205549\n ],\n [\n -75.1849365234375,\n 38.976492485539424\n ],\n [\n -74.8223876953125,\n 38.6897975322717\n ],\n [\n -73.5260009765625,\n 38.86965182408357\n ],\n [\n -72.8118896484375,\n 39.20671884491848\n ],\n [\n -72.6800537109375,\n 39.8465036024177\n ],\n [\n -72.92724609375,\n 40.1452892956766\n ],\n [\n -73.32824707031249,\n 40.3758437769601\n ],\n [\n -73.66333007812499,\n 40.47620304302563\n ],\n [\n -74.05334472656249,\n 40.613952441166596\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-21","publicationStatus":"PW","scienceBaseUri":"56a360bbe4b0b28f1183bbed","contributors":{"authors":[{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":589324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jensen, Olaf P.","contributorId":92159,"corporation":false,"usgs":false,"family":"Jensen","given":"Olaf","email":"","middleInitial":"P.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":589325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rediske, Richard R.","contributorId":79053,"corporation":false,"usgs":true,"family":"Rediske","given":"Richard","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":589326,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O'Keefe, James P.","contributorId":99499,"corporation":false,"usgs":true,"family":"O'Keefe","given":"James P.","affiliations":[],"preferred":false,"id":589327,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vastano, Anthony R.","contributorId":152434,"corporation":false,"usgs":false,"family":"Vastano","given":"Anthony","email":"","middleInitial":"R.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":589328,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pothoven, Steven A.","contributorId":92998,"corporation":false,"usgs":false,"family":"Pothoven","given":"Steven","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":589329,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70177911,"text":"70177911 - 2016 - Volatile-organic molecular characterization of shale-oil produced water from the Permian Basin","interactions":[],"lastModifiedDate":"2019-12-14T07:07:08","indexId":"70177911","displayToPublicDate":"2016-01-21T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"title":"Volatile-organic molecular characterization of shale-oil produced water from the Permian Basin","docAbstract":"Growth in unconventional oil and gas has spurred concerns on environmental impact and interest in beneficial uses of produced water (PW), especially in arid regions such as the Permian Basin, the largest U.S. tight-oil producer. To evaluate environmental impact, treatment, and reuse potential, there is a need to characterize the compositional variability of PW. Although hydraulic fracturing has caused a significant increase in shale-oil production, there are no high-resolution organic composition data for the shale-oil PW from the Permian Basin or other shale-oil plays (Eagle Ford, Bakken, etc.). PW was collected from shale-oil wells in the Midland sub-basin of the Permian Basin. Molecular characterization was conducted using high-resolution solid phase micro extraction gas chromatography time-of-flight mass spectrometry. Approximately 1400 compounds were identified, and 327 compounds had a >70% library match. PW contained alkane, cyclohexane, cyclopentane, BTEX (benzene, toluene, ethylbenzene, and xylene), alkyl benzenes, propyl-benzene, and naphthalene. PW also contained heteroatomic compounds containing nitrogen, oxygen, and sulfur. 3D van Krevelen and double bond equivalence versus carbon number analyses were used to evaluate molecular variability. Source composition, as well as solubility, controlled the distribution of volatile compounds found in shale-oil PW. The salinity also increased with depth, ranging from 105 to 162 g/L total dissolved solids. These data fill a gap for shale-oil PW composition, the associated petroleomics plots provide a fingerprinting framework, and the results for the Permian shale-oil PW suggest that partial treatment of suspended solids and organics would support some beneficial uses such as onsite reuse and bio-energy production.
","language":"English","publisher":"Pergamon Press","doi":"10.1016/j.chemosphere.2015.12.116","usgsCitation":"Khan, N.A., Engle, M.A., Dungan, B., Holguin, F.O., Xu, P., and Carroll, K., 2016, Volatile-organic molecular characterization of shale-oil produced water from the Permian Basin: Chemosphere, v. 148, p. 126-136, https://doi.org/10.1016/j.chemosphere.2015.12.116.","productDescription":"11 p.","startPage":"126","endPage":"136","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068901","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":330395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.16113281249999,\n 31.541089879585808\n ],\n [\n -101.2060546875,\n 31.541089879585808\n ],\n [\n -101.2060546875,\n 35.06597313798418\n ],\n [\n -105.16113281249999,\n 35.06597313798418\n ],\n [\n -105.16113281249999,\n 31.541089879585808\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"148","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5811c0f4e4b0f497e79a5a87","contributors":{"authors":[{"text":"Khan, Naima A.","contributorId":176304,"corporation":false,"usgs":false,"family":"Khan","given":"Naima","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":652122,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engle, Mark A. 0000-0001-5258-7374 engle@usgs.gov","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":584,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","email":"engle@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":652121,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dungan, Barry","contributorId":176305,"corporation":false,"usgs":false,"family":"Dungan","given":"Barry","email":"","affiliations":[],"preferred":false,"id":652123,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holguin, F. Omar","contributorId":176306,"corporation":false,"usgs":false,"family":"Holguin","given":"F.","email":"","middleInitial":"Omar","affiliations":[],"preferred":false,"id":652124,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xu, Pei","contributorId":176302,"corporation":false,"usgs":false,"family":"Xu","given":"Pei","email":"","affiliations":[],"preferred":false,"id":652125,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carroll, Kenneth C.","contributorId":176303,"corporation":false,"usgs":false,"family":"Carroll","given":"Kenneth C.","affiliations":[],"preferred":false,"id":652126,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70160739,"text":"sim3350 - 2016 - Fish assemblage composition and mapped mesohabitat features over a range of streamflows in the Middle Rio Grande, New Mexico, winter 2011-12, summer 2012","interactions":[],"lastModifiedDate":"2016-01-21T13:43:58","indexId":"sim3350","displayToPublicDate":"2016-01-21T13:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3350","title":"Fish assemblage composition and mapped mesohabitat features over a range of streamflows in the Middle Rio Grande, New Mexico, winter 2011-12, summer 2012","docAbstract":"This report documents differences in the mapped spatial extents and physical characteristics of in-channel fish habitat evaluated at the mesohabitat scale during winter 2011–12 (moderate streamflow) and summer 2012 (low streamflow) at 15 sites on the Middle Rio Grande in New Mexico starting about 3 kilometers downstream from Cochiti Dam and ending about 40 kilometers upstream from Elephant Butte Reservoir. The results of mesohabitat mapping, physical characterization, and fish assemblage surveys are summarized from the data that were collected. The report also presents general comparisons of physical mesohabitat data, such as wetted area and substrate type, and biological mesohabitat data, which included fish assemblage composition, species richness, Rio Grande silvery minnow relative abundance, and Rio Grande silvery minnow catch per unit effort.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3350","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Albuquerque District, and the U.S. Fish and Wildlife Service","usgsCitation":"Pearson, D.K., Braun, C.L., and Moring, J.B., 2015, Fish assemblage composition and mapped mesohabitat features over a range of streamflows in the Middle Rio Grande, New Mexico, winter 2011–12, summer 2012: U.S. Geological Survey Scientific Investigations Map 3350, 7 sheets, https://dx.doi.org/10.3133/sim3350.","productDescription":"7 Sheets","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-056794","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":314540,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3350/coverthb.jpg"},{"id":314541,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3350/pdf/sim3350.pdf","text":"Report","size":"20 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3350"},{"id":314542,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3350/pdf/sim3350_sheet1.pdf","text":"Sheet 1","size":"2.95 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3350"},{"id":314543,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3350/pdf/sim3350_sheet2.pdf","text":"Sheet 2","size":"2.67 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3350"},{"id":314544,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3350/pdf/sim3350_sheet3.pdf","text":"Sheet 3","size":"2.68 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3350"},{"id":314545,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3350/pdf/sim3350_sheet4.pdf","text":"Sheet 4","size":"4.45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3350"},{"id":314546,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3350/pdf/sim3350_sheet5.pdf","text":"Sheet 5","size":"3.07 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3350"},{"id":314547,"rank":8,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3350/pdf/sim3350_sheet6.pdf","text":"Sheet 6","size":"2.75 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3350"},{"id":314548,"rank":9,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3350/pdf/sim3350_sheet7.pdf","text":"Sheet 7","size":"1.87 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3350"}],"country":"United States","state":"New Mexico","otherGeospatial":"Middle Rio Grande","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.21533203125,\n 33.61461929233378\n ],\n [\n -108.21533203125,\n 36.96744946416931\n ],\n [\n -105.6884765625,\n 36.96744946416931\n ],\n [\n -105.6884765625,\n 33.61461929233378\n ],\n [\n -108.21533203125,\n 33.61461929233378\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, TX 78754-4501
http://tx.usgs.gov/
This report documents a process of filtering of hypotheses that relate Missouri River Scaphirhynchus albus (pallid sturgeon) population dynamics to management actions including flow alterations, channel reconfigurations, and pallid sturgeon population augmentation. The filtering process was a partnership among U.S. Geological Survey, U.S. Army Corps of Engineers, and U.S. Fish and Wildlife Service to contribute to the Missouri River Recovery Management Plan process. The objective of the filtering process was to produce a set of hypotheses with high relevance to pallid sturgeon population dynamics and decision making on the Missouri River. The Missouri River Pallid Sturgeon Effects Analysis team filtered hundreds of potential hypotheses implicit in conceptual ecological models to develop a set of 40 candidate dominant hypotheses that were identified by experts as being important in pallid sturgeon population dynamics. Using a modified Delphi process and additional expert opinion, the team reduced this set of hypotheses to 23 working dominant hypotheses. We then matched the 23 hypotheses with management actions that could influence the biotic outcomes, resulting in as many as 176 potential effects between management actions and pallid sturgeon in the Missouri River. This number was consolidated to a candidate set of 53 working management hypotheses because some management actions applied to multiple life stages of the pallid sturgeon. We used an additional round of expert surveys to identify a set of 30 working management hypotheses. Finally, the set of working management hypotheses was filtered by the U.S. Army Corps of Engineers, Missouri River Recovery Program for actions that were within the agency’s authority and jurisdiction. This round resulted in a set of 21 hypotheses for initial modeling of linkages from management to pallid sturgeon population responses.
\nThe initial set of candidate hypotheses provides a useful starting point for quantitative modeling and adaptive management of the river and species. We anticipate that hypotheses will change from the set of working management hypotheses as adaptive management progresses. More importantly, hypotheses that have been filtered out of our multistep process are still being considered. These filtered hypotheses are archived and if existing hypotheses are determined to be inadequate to explain observed population dynamics, new hypotheses can be created or filtered hypotheses can be reinstated.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151236","collaboration":"Prepared in cooperation with the Missouri River Recovery Program","usgsCitation":"Jacobson, R.B., Parsley, M.J., Annis, M.L., Colvin, M.E., Welker, T.L., and James, D.A., 2016, Development of working hypotheses linking management of the Missouri River to population dynamics of Scaphirhynchus albus (pallid sturgeon): U.S. Geological Survey Open-File Report 2015–1236, 33 p., https://dx.doi.org/10.3133/ofr20151236.","productDescription":"v, 33 p.","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-056930","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":314405,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1236/coverthb.jpg"},{"id":314406,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1236/ofr20151236.pdf","text":"Report","size":"5.03 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1236"}],"country":"United States","otherGeospatial":"Missouri River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.63720703125,\n 38.805470223177466\n ],\n [\n -92.70263671874999,\n 39.18117526158749\n ],\n [\n -93.18603515624999,\n 39.65645604812829\n ],\n [\n -93.49365234375,\n 40.613952441166596\n ],\n [\n -93.515625,\n 41.32732632036622\n ],\n [\n -94.63623046875,\n 41.50857729743935\n ],\n [\n -94.921875,\n 42.08191667830631\n ],\n [\n -95.29541015625,\n 43.48481212891603\n ],\n [\n -96.39404296875,\n 44.29240108529005\n ],\n [\n -97.91015624999999,\n 45.920587344733654\n ],\n [\n -98.50341796875,\n 46.92025531537451\n ],\n [\n -99.1845703125,\n 47.87214396888731\n ],\n [\n -99.95361328125,\n 48.019324184801185\n ],\n [\n -100.94238281249999,\n 47.91634204016118\n ],\n [\n -101.7333984375,\n 48.4146186174932\n ],\n [\n -102.32666015625,\n 48.83579746243093\n ],\n [\n -103.38134765625,\n 48.83579746243093\n ],\n [\n -103.7548828125,\n 48.951366470947725\n ],\n [\n -104.74365234375,\n 49.009050809382046\n ],\n [\n -111.64306640625,\n 48.99463598353408\n ],\n [\n -114.76318359375,\n 48.98742700601184\n ],\n [\n -114.70825195312501,\n 48.36354888898689\n ],\n [\n -114.78515624999999,\n 47.879512933970496\n ],\n [\n -115.71899414062499,\n 47.50978034953473\n ],\n [\n -115.169677734375,\n 47.137424646293866\n ],\n [\n -114.63134765625001,\n 46.6795944656402\n ],\n [\n -114.312744140625,\n 46.66451741754235\n ],\n [\n -113.44482421875,\n 44.793530904744074\n ],\n [\n -112.82958984375,\n 44.449467536006935\n ],\n [\n -111.37939453125,\n 44.68427737181225\n ],\n [\n -111.02783203125,\n 44.41808794374849\n ],\n [\n -109.44580078125,\n 43.27720532212024\n ],\n [\n -108.25927734375,\n 42.309815415686664\n ],\n [\n -107.4462890625,\n 42.42345651793833\n ],\n [\n -106.9189453125,\n 41.73852846935917\n ],\n [\n -107.33642578124999,\n 41.36031866306708\n ],\n [\n -107.16064453125,\n 40.91351257612758\n ],\n [\n -107.05078125,\n 40.27952566881291\n ],\n [\n -106.14990234375,\n 40.22921818870117\n ],\n [\n -105.6884765625,\n 40.44694705960048\n ],\n [\n -105.66650390625,\n 39.842286020743394\n ],\n [\n -106.3037109375,\n 39.30029918615029\n ],\n [\n -106.06201171875,\n 38.71980474264239\n ],\n [\n -104.7216796875,\n 38.8225909761771\n ],\n [\n -103.95263671874999,\n 38.993572058209466\n ],\n [\n -102.67822265625,\n 38.976492485539424\n ],\n [\n -100.96435546875,\n 38.77121637244273\n ],\n [\n -98.32763671875,\n 38.788345355085625\n ],\n [\n -96.767578125,\n 38.839707613545144\n ],\n [\n -95.9326171875,\n 38.736946065676\n ],\n [\n -95.51513671875,\n 38.37611542403604\n ],\n [\n -95.03173828125,\n 37.96152331396616\n ],\n [\n -94.37255859375,\n 37.38761749978395\n ],\n [\n -92.8125,\n 37.26530995561875\n ],\n [\n -91.7578125,\n 37.82280243352756\n ],\n [\n -91.42822265625,\n 38.134556577054134\n ],\n [\n -91.0546875,\n 38.51378825951165\n ],\n [\n -90.63720703125,\n 38.805470223177466\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, USGS Columbia Environmental Research Center
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Columbia, MO 65201
The Comprehensive Sturgeon Research Project is a multiyear, multiagency collaborative research framework developed to provide information to support pallid sturgeon recovery and Missouri River management decisions. The project strategy integrates field and laboratory studies of pallid sturgeon reproductive ecology, early life history, habitat requirements, and physiology. The project scope of work is developed annually with collaborating research partners and in cooperation with the U.S. Army Corps of Engineers, Missouri River Recovery—Integrated Science Program. The research consists of several interdependent and complementary tasks that engage multiple disciplines.
\nThe research tasks in the 2013 scope of work emphasized understanding reproductive migrations and spawning of adult pallid sturgeon, and hatch and drift of free embryos and larvae. These tasks were addressed in four study sections located in three hydrologically and geomorphologically distinct parts of the Missouri River Basin: the Upper Missouri River downstream from Fort Peck Dam, including downstream reaches of the Milk River, the Lower Yellowstone River, and the Lower Missouri River downstream from Gavins Point Dam. The research is designed to inform management decisions related to channel re-engineering, flow modification, and pallid sturgeon population augmentation on the Missouri River, and throughout the range of the species. Research and progress made through this project are reported to the U.S. Army Corps of Engineers annually. This annual report details the research effort and progress made by the Comprehensive Sturgeon Research Project during 2013.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151197","collaboration":"Prepared in cooperation with the Missouri River Recovery–Integrated Science Program U.S. Army Corps of Engineers, Yankton, South Dakota","usgsCitation":"DeLonay, A.J., Jacobson, R.B., Chojnacki, K.A., Braaten, P.J., Buhl, K.J., Eder, B.L., Elliott, C.M., Erwin, S.O., Fuller,\nD.B., Haddix, T.M., Ladd, H.L.A., Mestl, G.E., Papoulias, D.M., Rhoten, J.C., Wesolek, C.J., and Wildhaber, M.L., 2016,\nEcological requirements for pallid sturgeon reproduction and recruitment in the Missouri River—Annual report 2013:\nU.S. Geological Survey Open-File Report 2015–1197, 99 p., https://dx.doi.org/10.3133/ofr20151197.","productDescription":"xi, 99 p.","numberOfPages":"116","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-056500","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":314415,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1197/coverthb.jpg"},{"id":314416,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1197/ofr20151197.pdf","text":"Report","size":"11.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1197"}],"country":"United States","otherGeospatial":"Missouri River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.63720703125,\n 38.805470223177466\n ],\n [\n -92.70263671874999,\n 39.18117526158749\n ],\n [\n -93.18603515624999,\n 39.65645604812829\n ],\n [\n -93.49365234375,\n 40.613952441166596\n ],\n [\n -93.515625,\n 41.32732632036622\n ],\n [\n -94.63623046875,\n 41.50857729743935\n ],\n [\n -94.921875,\n 42.08191667830631\n ],\n [\n -95.29541015625,\n 43.48481212891603\n ],\n [\n -96.39404296875,\n 44.29240108529005\n ],\n [\n -97.91015624999999,\n 45.920587344733654\n ],\n [\n -98.50341796875,\n 46.92025531537451\n ],\n [\n -99.1845703125,\n 47.87214396888731\n ],\n [\n -99.95361328125,\n 48.019324184801185\n ],\n [\n -100.94238281249999,\n 47.91634204016118\n ],\n [\n -101.7333984375,\n 48.4146186174932\n ],\n [\n -102.32666015625,\n 48.83579746243093\n ],\n [\n -103.38134765625,\n 48.83579746243093\n ],\n [\n -103.7548828125,\n 48.951366470947725\n ],\n [\n -104.74365234375,\n 49.009050809382046\n ],\n [\n -111.64306640625,\n 48.99463598353408\n ],\n [\n -114.76318359375,\n 48.98742700601184\n ],\n [\n -114.70825195312501,\n 48.36354888898689\n ],\n [\n -114.78515624999999,\n 47.879512933970496\n ],\n [\n -115.71899414062499,\n 47.50978034953473\n ],\n [\n -115.169677734375,\n 47.137424646293866\n ],\n [\n -114.63134765625001,\n 46.6795944656402\n ],\n [\n -114.312744140625,\n 46.66451741754235\n ],\n [\n -113.44482421875,\n 44.793530904744074\n ],\n [\n -112.82958984375,\n 44.449467536006935\n ],\n [\n -111.37939453125,\n 44.68427737181225\n ],\n [\n -111.02783203125,\n 44.41808794374849\n ],\n [\n -109.44580078125,\n 43.27720532212024\n ],\n [\n -108.25927734375,\n 42.309815415686664\n ],\n [\n -107.4462890625,\n 42.42345651793833\n ],\n [\n -106.9189453125,\n 41.73852846935917\n ],\n [\n -107.33642578124999,\n 41.36031866306708\n ],\n [\n -107.16064453125,\n 40.91351257612758\n ],\n [\n -107.05078125,\n 40.27952566881291\n ],\n [\n -106.14990234375,\n 40.22921818870117\n ],\n [\n -105.6884765625,\n 40.44694705960048\n ],\n [\n -105.66650390625,\n 39.842286020743394\n ],\n [\n -106.3037109375,\n 39.30029918615029\n ],\n [\n -106.06201171875,\n 38.71980474264239\n ],\n [\n -104.7216796875,\n 38.8225909761771\n ],\n [\n -103.95263671874999,\n 38.993572058209466\n ],\n [\n -102.67822265625,\n 38.976492485539424\n ],\n [\n -100.96435546875,\n 38.77121637244273\n ],\n [\n -98.32763671875,\n 38.788345355085625\n ],\n [\n -96.767578125,\n 38.839707613545144\n ],\n [\n -95.9326171875,\n 38.736946065676\n ],\n [\n -95.51513671875,\n 38.37611542403604\n ],\n [\n -95.03173828125,\n 37.96152331396616\n ],\n [\n -94.37255859375,\n 37.38761749978395\n ],\n [\n -92.8125,\n 37.26530995561875\n ],\n [\n -91.7578125,\n 37.82280243352756\n ],\n [\n -91.42822265625,\n 38.134556577054134\n ],\n [\n -91.0546875,\n 38.51378825951165\n ],\n [\n -90.63720703125,\n 38.805470223177466\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, USGS Columbia Environmental Research Center
4200 New Haven Road
Columbia, MO 65201
Phytoplankton is an important and limiting food source in the Sacramento-San Joaquin Delta (the Delta) and San Francisco Bay; the decline of phytoplankton biomass is one possible factor in the pelagic organism decline and specifically in the decline of the protected delta smelt. The bivalves Corbicula fluminea andPotamocorbula amurensis have been shown to control phytoplankton biomass in several locations throughout the system, and their distribution and population dynamics are therefore of great interest. We were able to describe the distribution and dynamics of bivalve biomass through use of samples collected by the California Department of Water Resources (DWR) as part of a monitoring program from 1977 to 2013. As one element of DWR’s and the Bureau of Reclamation’s Environmental Monitoring Program (EMP), the DWR benthic monitoring program examines the impact of water project operations on the estuary as prescribed by a series of Water Rights Decisions mandated by the State Water Resources Control Board (SWRCB). The availability of multidecade samples allowed us to examine long-term trends in biomass, recruitment, and size of bivalves at the 15 stations sampled.
\nBiomass and grazing rate had the same basic trends, and the conclusions that we apply to biomass can be applied to grazing rate data. During winter of most years, Potamocorbula biomass was low at all locations and was near zero in the shallow San Pablo Bay station. The Potamocorbula biomass at shallow stations consistently peaked during summer and fall, but there was no consistent peak season in the deep stations. Corbicula had a much less consistent seasonal biomass pattern than Potamocorbula. However, some interannual patterns were consistent between stations. Corbicula biomass at three stations declined after 2003 (C9, D16, and D28). The Franks Tract (D19) Corbicula biomass had a baseline shift up (that is, all values were > 0) in 1985 until DWR ceased sampling at the station in 1995. Two other stations showed a similar increase in baseline but at different times; D24 shifted up after 2007 and D11 shifted up in 1991.
\nPotamocorbula recruitment (any bivalve ≤ 2.5 millimeters [mm] in length) occurred anytime between spring and fall, with bivalves at the most downstream stations in San Pablo Bay recruiting in spring and animals at the most upstream stations recruiting in fall. The bivalves at the stations between these endpoints recruited in (1) spring or (2) summer and fall (Carquinez Strait), or in some combination of two of those three seasons in Grizzly Bay. The few locations where Potamocorbula and Corbicula overlapped showed recruitment abundance opposing each other, with Potamocorbula recruits peaking during the more saline time of year and Corbicula recruits peaking during periods of lower salinities. Corbicula recruits were present throughout most of the year with some peaks in abundance, but the patterns were not seasonally consistent at any station.
\nMean size peaked in both bivalves in late summer and early fall and never got above a certain size; maximum size depended on location. The mean size of both bivalves has decreased over the years, with the size distributions throughout the Delta now skewed toward smaller, younger Corbicula (< 10 mm). The mean size of Potamocorbula has also become skewed toward the small, younger bivalves, with sizes in the range of 2–8 mm. The mean size ofPotamocorbula increased from spring to fall and decreased in winter. A similar generalization is not possible with Corbicula because seasonal patterns in size varied depending on station location. Station D24 on the Sacramento River was the only location with an increase in Corbicula mean size over the sampling period.
\nThe largest mean sized Potamocorbula were seen in the channel areas, where sizes of 15 mm were common at stations D41C, 8.1, and D6; sizes in excess of 15 mm were observed at all three D4 stations during the mid 1990s. The mean size of Potamocorbula in the shoals was ≈5–7 mm in most years in Grizzly Bay (D7) and San Pablo Bay (D41A), with an increase to > 10 mm at D7 in the wet years.
\nThe largest mean sized Corbicula were in the southern Delta (C9 ≈25 mm during 1996–97 and 2012–2013), and the smallest average sizes were in the San Joaquin River (P8 and D16). Corbicula at the upstream Sacramento River station (D24) and in the southern Delta (C9) showed similar interannual patterns in average size although the animals at C9 were consistently larger than those at D24 were. Corbicula in Franks Tract (D19) and the Old River (D28A) south of Franks Tract were also similar in size and in interannual patterns.
\nAt the few stations where Potamocorbula and Corbicula co-occur, it appears that they did not hinder each other’s growth. Both bivalves had large animals at D4, where Corbicula size increased coincident with the presence of Potamocorbula in 1987. Corbicula were observed in wet years prior to Potamocorbula’sinvasion at D7 (Grizzly Bay) and were capable of growing to significant size in wet years (> 20 mm in 1986).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161005","collaboration":"Prepared in cooperation with California Department of Water Resources","usgsCitation":"Crauder, J.S., Thompson, J.K., Parchaso, F., Anduaga, R.I., Pearson, S.A., Gehrts, K., Fuller, H., and Wells, E., 2016, Bivalve effects on the food web supporting delta smelt—A long-term study of bivalve recruitment, biomass, and grazing rate patterns with varying freshwater outflow: U.S. Geological Survey Open-File Report 2016–1005, 216 p., https://dx.doi.org/10.3133/ofr20161005.","productDescription":"xi, 216 p.","numberOfPages":"227","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-070546","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":314274,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1005/ofr20161005.pdf","text":"Report","size":"3.7 MB","description":"OFR 2016-1005 PDF"},{"id":314275,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1005/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay, Sacramento-San Joaquin Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.51953124999999,\n 37.81737834565083\n ],\n [\n -122.51953124999999,\n 38.148597559924355\n ],\n [\n -121.30279541015624,\n 38.148597559924355\n ],\n [\n -121.30279541015624,\n 37.81737834565083\n ],\n [\n -122.51953124999999,\n 37.81737834565083\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"NRP staff, National Research Program
U.S. Geological Survey
345 Middlefield Road, MS-435
Menlo Park, CA 94025
http://water.usgs.gov/nrp/
This report is intended to synthesize the state of the scientific understanding of pallid sturgeon ecological requirements to provide recommendations for future science directions and context for Missouri River restoration and management decisions. Recruitment of pallid sturgeon has been low to non-existent throughout its range. Emerging understanding of the genetic structure of pallid sturgeon populations sets a broad framework for species and river management decisions, including decisions about managing the future genetic diversity of the species, but also decisions about where and what type of river restoration actions will be effective for subpopulations of this highly migratory species. Adult pallid sturgeon may migrate hundreds of kilometers (km) to spawn and their progeny may disperse even greater distances downstream as drifting free embryos. As a result of their complex life history pallid sturgeon naturally exploit a wide range of habitats during their life cycles. The construction of dams and reservoirs has fragmented habitats and may have shifted Missouri River subpopulations downstream. Research has not identified one primary biological or ecological constraint that appears to limit populations of the pallid sturgeon. With the present (2013) state of knowledge many life stages and life-stage transitions cannot be ruled out as contributing to recruitment failure.
\nBiological opinions in 2000 (and amended in 2003) presented the dominant hypotheses for recruitment failure that existed at that time. Emphasis was on the role of the flow regime, specifically spring flow pulses (“spring rises”), to condition spawning substrate and cue reproductive aggregations and migrations, and on low flows and additional slow, shallow-water area to serve as rearing habitat for age-0 to juvenile pallid sturgeon. Studies on spawning habitat dynamics have documented that habitat patches selected for spawning by fish in the Lower Missouri River (Missouri River downstream from Gavins Point Dam to the confluence with the Mississippi River) are dominantly on outside, revetted bends in the deepest, fastest, and most turbulent water. Studies in more natural habitat on the Yellowstone River have documented spawning in convergent flow in the middle of the channel on discrete patches of gravel within a sand-dominated channel, an arrangement that may be more effective in attracting aggregations of reproductive fish compared to the nearly continuous revetment on the Lower Missouri River. Pallid sturgeon spawn in the spring and early summer during periods of increasing day length. Water temperature consistently exerts a threshold effect for spawning at 16–18 °C. In addition, the role of water temperature is indicated by pauses and reversals in upstream migrations that have been associated with cold weather fronts that create a transient decrease in water temperature. From 2005 to 2012 on the Lower Missouri River, no obvious relations between flow pulses and fish movements and spawning behaviors have been apparent. However, pallid sturgeon tracking at the Upper Missouri–Yellowstone confluence indicates that in most years, most telemetered pallid sturgeon migrate out of the Missouri River and into the Yellowstone River in the June–July timeframe in association with the spring pulse. This pattern was disrupted in 2011 when a high flow pulse with warm temperatures and high turbidity emanated from the Milk River, followed by record releases from Fort Peck Dam, and 36–39 percent of the telemetered population migrated up the Upper Missouri. This result supports the hypothesis that sufficiently large flow pulses may trigger migration and aggregation but it is not clear that functional pulses are within reservoir management authorities. Notably, a pallid sturgeon free embryo was captured on the Upper Missouri River in 2011 and another single, genetically confirmed embryo was captured on the Yellowstone River in 2012.
\nResearch on free-embryo drift has indicated the potential for hundreds of miles of downstream dispersal. Lack of distance to accommodate the extended downstream dispersal period of free embryos on the Upper Missouri and Yellowstone Rivers is the predominant hypothesis for recruitment failure in the upper basin. Long drift distances in the Lower Missouri River may be responsible for shifting Lower Missouri River sub-populations further into the Middle Mississippi River. Physical understanding of drift processes indicates that mean velocities could be slowed through decreased discharges or increased channel hydraulic radius (width and topographic diversity) to reduce free-embryo dispersal distances. In addition, the probability that free embryos are transported into and retained in channel-margin habitats is theoretically amenable to channel re-engineering that would increase cross-channel secondary currents in bends or channel expansions. Considerable uncertainty persists, however, about whether extended drift of Lower Missouri River larvae is responsible for recruitment failure. If drift distance is limiting, it is important to discern whether it would be advisable to retain larvae within the Missouri River, and where along the river restoration projects should be placed to optimize survival and growth of age-0 and juvenile sturgeon.
\nLongitudinal differences in female pallid sturgeon fecundity lend support to the hypothesis that recruitment failure may be due, in part, to fish having insufficient nutrition to produce the numbers of gametes needed for the population to grow, perhaps because of simultaneous declines in prey-fish populations and their habitats. Establishing a chain of causality from habitat decline, to prey-fish populations, to sturgeon diets, to sturgeon fecundity, and to pallid sturgeon population growth presents a considerable scientific challenge.
\nIn addition to the dominant hypotheses relating pallid sturgeon populations to changes in flow regime and channel morphology, other factors have been identified that might be sources of stress and contribute to recruitment failure. Among these are water quality and contaminants. Ambient water-quality monitoring on the Missouri River has demonstrated summer episodes when dissolved oxygen dips below 5 milligrams per liter, a threshold that may be stressful especially to age-0 and juvenile sturgeon. Documented cases of intersex in shovelnose and pallid sturgeon indicate that agricultural and municipal sources of endocrine disrupting chemicals also may have a role in pallid sturgeon recruitment failure.
\nScientific understanding of the ecological requirements of pallid sturgeon has increased almost exponentially in the last two decades, and efforts are now turning from understanding fundamental biology of the species to quantifying how population dynamics relate to potential management actions. Progress in developing the science needed to inform management actions on the Missouri River may benefit from continuation of monitoring of reproductive cycles, reproductive movements, growth, and survival of telemetry tagged adults, increased emphasis on focused, complementary field and laboratory studies of factors influencing early life history, implementation of studies to resolve the role of food limitations in growth, survival, and reproductive condition, and implementation of studies designed specifically to parameterize models linking management to populations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155145","collaboration":"Prepared in cooperation with the Missouri River Recovery—Integrated Science Program, U.S. Army Corps of Engineers, Yankton, South Dakota","usgsCitation":"DeLonay, A.J., Chojnacki, K.A., Jacobson, R.B., Albers, J.L., Braaten, P.J., Bulliner, E.A., Elliott, C.M., Erwin, S.O., Fuller, D.B., Haas, J.D., Ladd, H.L.A., Mestl, G.E., Papoulias, D.M., and Wildhaber, M.L., 2016, Ecological requirements for pallid sturgeon reproduction and recruitment in the Missouri River—A synthesis of science, 2005 to 2012: U.S. Geological Survey Scientific Investigations Report 2015–5145, 224 p. with appendixes, https://dx.doi.org/10.3133/sir20155145.","productDescription":"xiv, 224 p.","numberOfPages":"242","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-051552","costCenters":[{"id":192,"text":"Columbia Environmental Research 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4200 New Haven Road
Columbia, MO 65201
The U.S. Geological Survey (USGS), in cooperation with the Allegheny County Health Department and Allegheny County Sanitary Authority, collected surface-water samples from the Allegheny, Monongahela, and Ohio Rivers and selected tributaries during the period 2001–09 to assess the occurrence and trends in the concentrations of fecal-indicator bacteria during both wet- and dry-weather conditions.
\nA total of 1,742 water samples were collected at 52 main-stem and tributary sites. Quantifiable concentrations of Escherichia coli (E. coli) were reported in 1,667 samples, or 97.0 percent of 1,719 samples; concentrations in 853 samples (49.6 percent) exceeded the U.S. Environmental Protection Agency (EPA) recreational water-quality criterion of 235 colonies per 100 milliliters (col/100 mL). Quantifiable concentrations of fecal coliform (FC) bacteria were reported in 1,693 samples, or 98.8 percent of 1,713 samples; concentrations in 780 samples (45.5 percent) exceeded the Commonwealth of Pennsylvania water contact criterion of 400 col/100 mL. Quantifiable concentrations of enterococci bacteria were reported in 912 samples, or 87.5 percent of 1,042 samples; concentrations in 483 samples (46.4 percent) exceeded the EPA recreational water-quality criterion of 61 col/100 mL. The median percentage of samples in which bacteria concentrations exceeded recreational water-quality standards across all sites with five or more samples was 48 for E. coli, 43 for FC, and 75 for enterococci. E. coli, FC, and enterococci concentrations at main-stem sites had significant positive correlations with streamflow under all weather conditions, with rho values ranging from 0.203 to 0.598. Seasonal Kendall and logistic regression were evaluated to determine whether statistically significant trends were present during the period 2001–09. In general, Seasonal Kendall tests for trends in E. coli and FC bacteria were inconclusive. Results of logistic regression showed no significant trends in dry-weather exceedance of the standards; however, significant decreases in the likelihood that wet-weather E. coli and FC bacteria concentrations will exceed EPA recreational standards were found at the USGS streamgaging station Allegheny River at 9th Street Bridge. Nonparametric correlation analysis, including Spearman’s rho and the paired Prentice-Wilcoxon test, was used to screen for associations among fecal indicator bacteria concentrations and the field characteristics streamflow, water temperature, pH, specific conductance, dissolved-oxygen concentration, and turbidity.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155136","collaboration":"Prepared in cooperation with the Allegheny County Sanitary Authority and Allegheny County Health Department","usgsCitation":"Fulton, J.W., Koerkle, E.H., McCoy, J.L., and Zarr, L.F., 2016, Occurrence and trends in the concentrations of fecal-indicator bacteria and the relation to field water-quality parameters in the Allegheny, Monongahela, and Ohio Rivers and selected tributaries, Allegheny County, Pennsylvania, 2001–09: U.S. Geological Survey Scientific Investigations Report 2015–5136, 47 p., https://dx.doi.org/10.3133/sir20155136.","productDescription":"ix, 47 p.","numberOfPages":"61","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-006521","costCenters":[{"id":532,"text":"Pennsylvania Water Science 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215 Limekiln Road
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http://pa.water.usgs.gov/
Modeling streamflow is an important approach for understanding landscape-scale drivers of flow and estimating flows where there are no streamgage records. In this study conducted by the U.S. Geological Survey in cooperation with Colorado State University, the objectives were to model streamflow metrics on small, ungaged streams in the Upper Colorado River Basin and identify streams that are potentially threatened with becoming intermittent under drier climate conditions. The Upper Colorado River Basin is a region that is critical for water resources and also projected to experience large future climate shifts toward a drying climate. A random forest modeling approach was used to model the relationship between streamflow metrics and environmental variables. Flow metrics were then projected to ungaged reaches in the Upper Colorado River Basin using environmental variables for each stream, represented as raster cells, in the basin. Last, the projected random forest models of minimum flow coefficient of variation and specific mean daily flow were used to highlight streams that had greater than 61.84 percent minimum flow coefficient of variation and less than 0.096 specific mean daily flow and suggested that these streams will be most threatened to shift to intermittent flow regimes under drier climate conditions. Map projection products can help scientists, land managers, and policymakers understand current hydrology in the Upper Colorado River Basin and make informed decisions regarding water resources. With knowledge of which streams are likely to undergo significant drying in the future, managers and scientists can plan for stream-dependent ecosystems and human water users.
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2150 Centre Avenue, Building C
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https://www.fort.usgs.gov/
We quantified variation in winter survival of Surf Scoters (Melanitta perspicillata (L., 1758)) across nearly 30° of latitude on the Pacific coast of North America to evaluate potential effects on winter distributions, including observed differential distributions of age and sex classes. We monitored fates of 297 radio-marked Surf Scoters at three study sites: (1) near the northern periphery of their wintering range in southeast Alaska, USA, (2) the range core in British Columbia, Canada, and (3) the southern periphery in Baja California, Mexico. We detected 34 mortalities and determined that survival averaged lower at the range peripheries than in the range core, was lower during mid-winter than during late winter at all sites, and was positively correlated with body mass within locations. Although neither age nor sex class had direct effects, mass effects led to differential survival patterns among classes. When simultaneously incorporating these interacting influences, adult males of mean mass for their location had highest survival at the northern range periphery in Alaska, whereas adult females and juveniles had higher survival at the range core and the southern periphery. Our observations help to explain patterns of differential migration and distribution reported for this species and highlight seasonal periods (mid-winter) and locations (range peripheries) of elevated levels of mortality for demographically important age–sex classes (adult females).
","language":"English","publisher":"National Research Council","publisherLocation":"Ottawa, Canada","doi":"10.1139/cjz-2015-0107","usgsCitation":"Uher-Koch, B.D., Esler, D., Iverson, S.A., Ward, D.H., Boyd, S., Kirk, M., Lewis, T., VanStratt, C.S., Brodhead, K.M., Hupp, J.W., and Schmutz, J.A., 2016, Interacting effects of latitude, mass, age, and sex on winter survival of Surf Scoters (Melanitta perspicillata): Implications for differential migration: Canadian Journal of Zoology, v. 94, no. 3, p. 233-241, https://doi.org/10.1139/cjz-2015-0107.","productDescription":"9 p.","startPage":"233","endPage":"241","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055621","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":318646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","otherGeospatial":"Baja California, southeast Alaska, Strait 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runoff?","docAbstract":"Ash plays an important role in controlling runoff and erosion processes after wildfire and has frequently been hypothesised to clog soil pores and reduce infiltration. Yet evidence for clogging is incomplete, as research has focussed on identifying the presence of ash in soil; the actual flow processes remain unknown. We conducted laboratory infiltration experiments coupled with microscope observations in pure sands, saturated hydraulic conductivity analysis, and interaction energy calculations, to test whether ash can clog pores (i.e. block pores such that infiltration is hampered and ponding occurs). Although results confirmed previous observations of ash washing into pores, clogging was not observed in the pure sands tested, nor were conditions found for which this does occur. Clogging by means of strong attachment of ash to sand was deemed unlikely given the negative surface charge of the two materials. Ponding due to washing in of ash was also considered improbable given the high saturated conductivity of pure ash and ash–sand mixtures. This first mechanistic step towards analysing ash transport and attachment processes in field soils therefore suggests that pore clogging by ash is unlikely to occur in sands. Discussion is provided on other mechanisms by which ash can affect post-fire hydrology.
","language":"English","publisher":"Fire Research Institute","publisherLocation":"Roslyn, WA","doi":"10.1071/WF15037","usgsCitation":"Stoof, C.R., Gevaert, A.I., Baver, C., Hassanpour, B., Morales, V.L., Zhang, W., Martin, D.A., Giri, S.K., and Steenhuis, T.S., 2016, Can pore-clogging by ash explain post-fire runoff?: International Journal of Wildland Fire, v. 25, no. 3, p. 294-305, https://doi.org/10.1071/WF15037.","productDescription":"22 p.","startPage":"294","endPage":"305","numberOfPages":"22","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067418","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":471315,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/30k1c66k","text":"External Repository"},{"id":320156,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57160531e4b0ef3b7ca91fdb","contributors":{"authors":[{"text":"Stoof, Cathelijne R.","contributorId":168663,"corporation":false,"usgs":false,"family":"Stoof","given":"Cathelijne","email":"","middleInitial":"R.","affiliations":[{"id":25346,"text":"Cornell University, Ithaca, NY","active":true,"usgs":false}],"preferred":false,"id":626952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gevaert, Anouk I.","contributorId":168664,"corporation":false,"usgs":false,"family":"Gevaert","given":"Anouk","email":"","middleInitial":"I.","affiliations":[{"id":25346,"text":"Cornell University, Ithaca, NY","active":true,"usgs":false}],"preferred":false,"id":626953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baver, Christine","contributorId":168665,"corporation":false,"usgs":false,"family":"Baver","given":"Christine","email":"","affiliations":[{"id":25346,"text":"Cornell University, Ithaca, NY","active":true,"usgs":false}],"preferred":false,"id":626954,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hassanpour, Bahareh","contributorId":168666,"corporation":false,"usgs":false,"family":"Hassanpour","given":"Bahareh","email":"","affiliations":[{"id":25346,"text":"Cornell University, Ithaca, NY","active":true,"usgs":false}],"preferred":false,"id":626955,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morales, Veronica L.","contributorId":168667,"corporation":false,"usgs":false,"family":"Morales","given":"Veronica","email":"","middleInitial":"L.","affiliations":[{"id":25347,"text":"Abertay University, Dundee, UK","active":true,"usgs":false}],"preferred":false,"id":626956,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhang, Wei","contributorId":168668,"corporation":false,"usgs":false,"family":"Zhang","given":"Wei","email":"","affiliations":[{"id":25348,"text":"Michigan State University, East Lansing","active":true,"usgs":false}],"preferred":false,"id":626957,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Martin, Deborah A. 0000-0001-8237-0838 damartin@usgs.gov","orcid":"https://orcid.org/0000-0001-8237-0838","contributorId":168662,"corporation":false,"usgs":true,"family":"Martin","given":"Deborah","email":"damartin@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - 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This paired watershed study includes a watershed treated with over 2000 check dams and a Control watershed which has none, in the West Turkey Creek watershed, Southeast Arizona, USA. SWAT was calibrated for streamflow using discharge documented during the summer of 2013 at the Control site. Model results depict the necessity to eliminate lateral flow from SWAT models of aridland environments, the urgency to standardize geospatial soils data, and the care for which modelers must document altering parameters when presenting findings. Performance was assessed using the percent bias (PBIAS), with values of ±2.34%. The calibrated model was then used to examine the impacts of check dams at the Treated watershed. Approximately 630 tons of sediment is estimated to be stored behind check dams in the Treated watershed over the 3-year simulation, increasing water quality for fish habitat. A minimum precipitation event of 15 mm was necessary to instigate the detachment of soil, sediments, or rock from the study area, which occurred 2% of the time. The resulting watershed model is useful as a predictive framework and decision-support tool to consider long-term impacts of restoration and potential for future restoration.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecohyd.2015.12.001","usgsCitation":"Norman, L.M., and Niraula, R., 2016, Model analysis of check dam impacts on long-term sediment and water budgets in southeast Arizona, USA: Ecohydrology & Hydrobiology, v. 16, no. 3, p. 125-137, https://doi.org/10.1016/j.ecohyd.2015.12.001.","productDescription":"13 p.","startPage":"125","endPage":"137","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066106","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":471316,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecohyd.2015.12.001","text":"Publisher Index Page"},{"id":314538,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.9566650390625,\n 31.856564203952235\n ],\n [\n -109.9566650390625,\n 32.30802741894789\n ],\n [\n -109.22332763671875,\n 32.30802741894789\n ],\n [\n -109.22332763671875,\n 31.856564203952235\n ],\n [\n -109.9566650390625,\n 31.856564203952235\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56a0afaee4b0961cf280dbf4","contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":588956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Niraula, Rewati","contributorId":100714,"corporation":false,"usgs":false,"family":"Niraula","given":"Rewati","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":588957,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70174296,"text":"70174296 - 2016 - Do intracoelomic telemetry transmitters alter the post-release behaviour of migratory fish?","interactions":[],"lastModifiedDate":"2017-03-14T08:35:47","indexId":"70174296","displayToPublicDate":"2016-01-20T13:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Do intracoelomic telemetry transmitters alter the post-release behaviour of migratory fish?","docAbstract":"Electronic tags have become a common tool in fish research, enhancing our understanding of how fish interact with their environment and move among different habitats, for estimating mortality and recording internal physiological states. An often-untested assumption of electronic tagging studies is that tagged fish are representative of untagged conspecifics and thus show ‘normal’ behaviour (e.g. movement rates, swimming activity, feeding). Here, we use a unique data set for potamadromous walleye (Sander vitreus) in Lake Huron and Lake Erie tributaries to assess whether the lack of appropriate controls in electronic tagging could seriously affect behavioural data. We used fish tagged in previous years and compared their migratory behaviour during the spawning season to fish tagged in a current year at the same location. The objective of the study was to determine whether intracoelomic acoustic tag implantation altered downstream movement of walleye after spawning. Fish tagged in a given season travelled slower downstream from two river spawning sites than fish tagged in previous years. Fish tagged one or two years earlier showed no differences between each other in downstream travel time, in contrast to fish tagged in a given year. Our results support notions that standard collection and intracoelomic tagging procedures can alter short-term behaviour (i.e. days, weeks, months), and as such, researchers should use caution when interpreting data collected over such time periods. Further, whenever possible, researchers should also explicitly evaluate post-tagging effects on behaviour as part of their experimental objectives.
","language":"English","publisher":"John Wiley & Sons","doi":"10.1111/eff.12275","usgsCitation":"Wilson, A.D., Hayden, T.A., Vandergoot, C.S., Kraus, R.T., Dettmers, J.M., Cooke, S., and Krueger, C.C., 2016, Do intracoelomic telemetry transmitters alter the post-release behaviour of migratory fish?: Ecology of Freshwater Fish, v. 26, no. 2, p. 292-300, https://doi.org/10.1111/eff.12275.","productDescription":"9 p.","startPage":"292","endPage":"300","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066841","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":490014,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10026.1/11422","text":"External Repository"},{"id":324893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Maumee Bay, Saginaw Bay","geographicExtents":"{\n \"type\": 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C.","contributorId":169487,"corporation":false,"usgs":false,"family":"Krueger","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":641913,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70160019,"text":"fs20153085 - 2016 - Assessment of unconventional tight-gas resources of the Magallanes Basin Province, Chile, 2015","interactions":[],"lastModifiedDate":"2018-03-23T14:10:30","indexId":"fs20153085","displayToPublicDate":"2016-01-20T13:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3085","title":"Assessment of unconventional tight-gas resources of the Magallanes Basin Province, Chile, 2015","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey assessed a technically recoverable mean resource of 8.3 trillion cubic feet of unconventional tight gas in the Zona Glauconitica of the Magallanes Basin Province, Chile.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153085","usgsCitation":"Schenk, C.J., Charpentier, R.R., Pitman, J.K., Tennyson, M.E., Brownfield, M.E., Gaswirth, S.B., Le, P.A., Leathers-Miller, H.M., and Marra, K.R., 2016, Assessment of unconventional tight-gas resources of the Magallanes Basin Province, Chile, 2015: U.S. Geological Survey Fact Sheet 2015–3085, 2 p., https://dx.doi.org/10.3133/fs20153085.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2015-01-01","ipdsId":"IP-069301","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":314293,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2015/3085/coverthb.jpg"},{"id":314294,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3085/fs20153085.pdf","text":"Report","size":"2.43 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2015-3085"}],"country":"Chile","otherGeospatial":"Magallanes Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.59814453125,\n -53.75520681580145\n ],\n [\n -70.59814453125,\n -52.00517397055569\n ],\n [\n -68.587646484375,\n -52.00517397055569\n ],\n [\n -68.587646484375,\n -53.75520681580145\n ],\n [\n -70.59814453125,\n -53.75520681580145\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver Federal Center
Denver, CO 80225-0046
http://energy.usgs.gov/
Managers often nest sections of water bodies together into assessment units (AUs) to monitor and assess water quality criteria. Ideally, AUs represent an extent of waters with similar ecological, watershed, habitat and land-use conditions and no overlapping characteristics with other waters. In the United States, AUs are typically based on political or hydrologic boundaries rather than on ecologically relevant features, so it can be difficult to detect changes in impairment status. Our goals were to evaluate if current AU designation criteria of an impaired water body in southeastern Idaho, USA that, like many U.S. waters, has three-quarters of its mainstem length divided into two AUs. We focused our evaluation in southeastern Idaho's Portneuf River, an impaired river and three-quarters of the river is divided into two AUs. We described biological and environmental conditions at multiple reaches within each AU. We used these data to (1) test if variability at the reach-scale is greater within or among AUs and, (2) to evaluate alternate AU boundaries based on multivariate analyses of reach-scale data. We found that some biological conditions had greater variability within an AU than between AUs. Multivariate analyses identified alternative, 2- and 3-group, AUs that reduced this variability. Our results suggest that the current AU designations in the mainstem Portneuf River contain ecologically distinct sections of river and that the existing AU boundaries should be reconsidered in light of the ecological conditions measured at the reach scale. Variation in biological integrity within designated AUs may complicate water quality and biological assessments, influence management decisions or affect where monitoring or mitigation resources are directed.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2015.06.043","usgsCitation":"Layhee, M.J., Sepulveda, A.J., Ray, A., Mladenka, G., and Van Every, L., 2016, Ecological relevance of current water quality assessment unit designations in impaired rivers: Science of the Total Environment, v. 536, p. 198-205, https://doi.org/10.1016/j.scitotenv.2015.06.043.","productDescription":"8 p.","startPage":"198","endPage":"205","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064737","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":314522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Portneuf River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.61810302734375,\n 42.60465241823049\n ],\n [\n -112.61810302734375,\n 42.98355351219673\n ],\n [\n -111.92047119140624,\n 42.98355351219673\n ],\n [\n -111.92047119140624,\n 42.60465241823049\n ],\n [\n -112.61810302734375,\n 42.60465241823049\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"536","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56a0aface4b0961cf280dbf0","contributors":{"authors":[{"text":"Layhee, Megan J. 0000-0003-1359-1455 mlayhee@usgs.gov","orcid":"https://orcid.org/0000-0003-1359-1455","contributorId":3955,"corporation":false,"usgs":true,"family":"Layhee","given":"Megan","email":"mlayhee@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":589048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":589049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ray, Andrew","contributorId":101972,"corporation":false,"usgs":true,"family":"Ray","given":"Andrew","affiliations":[],"preferred":false,"id":589050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mladenka, Greg","contributorId":116680,"corporation":false,"usgs":true,"family":"Mladenka","given":"Greg","affiliations":[],"preferred":false,"id":589051,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Every, Lynn","contributorId":127352,"corporation":false,"usgs":false,"family":"Van Every","given":"Lynn","affiliations":[{"id":6912,"text":"Idaho Department of Environmental Quality","active":true,"usgs":false}],"preferred":false,"id":589052,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70162285,"text":"70162285 - 2016 - Sediment supply versus local hydraulic controls on sediment transport and storage in a river with large sediment loads","interactions":[],"lastModifiedDate":"2016-02-15T16:14:53","indexId":"70162285","displayToPublicDate":"2016-01-20T12:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Sediment supply versus local hydraulic controls on sediment transport and storage in a river with large sediment loads","docAbstract":"The Rio Grande in the Big Bend region of Texas, USA, and Chihuahua and Coahuila, Mexico, undergoes rapid geomorphic changes as a result of its large sediment supply and variable hydrology; thus, it is a useful natural laboratory to investigate the relative importance of flow strength and sediment supply in controlling alluvial channel change. We analyzed a suite of sediment transport and geomorphic data to determine the cumulative influence of different flood types on changing channel form. In this study, physically based analyses suggest that channel change in the Rio Grande is controlled by both changes in flow strength and sediment supply over different spatial and temporal scales. Channel narrowing is primarily caused by substantial deposition of sediment supplied to the Rio Grande during tributary-sourced flash floods. Tributary floods have large suspended-sediment concentrations, occur for short durations, and attenuate rapidly downstream in the Rio Grande, depositing much of their sediment in downstream reaches. Long-duration floods on the mainstem have the capacity to enlarge the Rio Grande, and these floods, released from upstream dams, can either erode or deposit sediment in the Rio Grande depending upon the antecedent in-channel sediment supply and the magnitude and duration of the flood. Geomorphic and sediment transport analyses show that the locations and rates of sand erosion and deposition during long-duration floods are most strongly controlled by spatial changes in flow strength, largely through changes in channel slope. However, spatial differences in the in-channel sediment supply regulate sediment evacuation or accumulation over time in long reaches (greater than a kilometer).
","language":"English","publisher":"Journal of Geophysical Research","doi":"10.1002/2015JF003436","usgsCitation":"Dean, D.J., Topping, D.J., Schmidt, J.C., Griffiths, R.E., and Sabol, T.A., 2016, Sediment supply versus local hydraulic controls on sediment transport and storage in a river with large sediment loads: Journal of Geophysical Research F: Earth Surface, v. 121, no. 1, p. 82-110, https://doi.org/10.1002/2015JF003436.","productDescription":"29 p.","startPage":"82","endPage":"110","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062345","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":471318,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015jf003436","text":"Publisher Index Page"},{"id":314520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","otherGeospatial":"Big Bend National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.5623779296875,\n 28.8831596093235\n ],\n [\n -104.5623779296875,\n 29.726222319395504\n ],\n [\n -102.6947021484375,\n 29.726222319395504\n ],\n [\n -102.6947021484375,\n 28.8831596093235\n ],\n [\n -104.5623779296875,\n 28.8831596093235\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"121","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-19","publicationStatus":"PW","scienceBaseUri":"56a0afafe4b0961cf280dbfa","contributors":{"authors":[{"text":"Dean, David J. 0000-0003-0203-088X djdean@usgs.gov","orcid":"https://orcid.org/0000-0003-0203-088X","contributorId":131047,"corporation":false,"usgs":true,"family":"Dean","given":"David","email":"djdean@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":589103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":140985,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":589104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, John C. 0000-0002-2988-3869 jcschmidt@usgs.gov","orcid":"https://orcid.org/0000-0002-2988-3869","contributorId":1983,"corporation":false,"usgs":true,"family":"Schmidt","given":"John","email":"jcschmidt@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":589105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griffiths, Ronald E. 0000-0003-3620-2926 rgriffiths@usgs.gov","orcid":"https://orcid.org/0000-0003-3620-2926","contributorId":162,"corporation":false,"usgs":true,"family":"Griffiths","given":"Ronald","email":"rgriffiths@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":589106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sabol, Thomas A. 0000-0002-4299-2285 tsabol@usgs.gov","orcid":"https://orcid.org/0000-0002-4299-2285","contributorId":3403,"corporation":false,"usgs":true,"family":"Sabol","given":"Thomas","email":"tsabol@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":589107,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70162283,"text":"70162283 - 2016 - Multiple mortality events in bats: a global review","interactions":[],"lastModifiedDate":"2016-06-15T16:14:14","indexId":"70162283","displayToPublicDate":"2016-01-20T12:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2651,"text":"Mammal Review","active":true,"publicationSubtype":{"id":10}},"title":"Multiple mortality events in bats: a global review","docAbstract":"We measured total mercury (THg) and monomethyl mercury (MMHg) concentrations and mercury (Hg) isotopic compositions in sediment and aquatic organisms from the Yuba River (California, USA) to identify Hg sources and biogeochemical transformations downstream of a historical gold mining region. Sediment THg concentrations and δ202Hg decreased from the upper Yuba Fan to the lower Yuba Fan and the Feather River. These results are consistent with the release of Hg during gold mining followed by downstream mixing and dilution. The Hg isotopic composition of Yuba Fan sediment (δ202Hg = −0.38 ± 0.17‰ and Δ199Hg = 0.04 ± 0.03‰; mean ± 1 SD, n = 7) provides a fingerprint of inorganic Hg (IHg) that could be methylated locally or after transport downstream. The isotopic composition of MMHg in the Yuba River food web was estimated using biota with a range of %MMHg (the percent of THg present as MMHg) and compared to IHg in sediment, algae, and the food web. The estimated δ202Hg of MMHg prior to photodegradation (−1.29 to −1.07‰) was lower than that of IHg and we suggest this is due to mass-dependent fractionation (MDF) of up to −0.9‰ between IHg and MMHg. This result is in contrast to net positive MDF (+0.4 to +0.8‰) previously observed in lakes, estuaries, coastal oceans, and forests. We hypothesize that this unique relationship could be due to differences in the extent or pathway of biotic MMHg degradation in stream environments.
","language":"English","publisher":"American Chemical Society","publisherLocation":"Easton, PA","doi":"10.1021/acs.est.5b04413","usgsCitation":"Donovan, P.M., Blum, J.D., Singer, M.B., Marvin-DiPasquale, M.C., and Tsui, M.T., 2016, Isotopic composition of inorganic mercury and methylmercury downstream of a historical gold mining region: Environmental Science & Technology, v. 50, no. 4, p. 1691-1702, https://doi.org/10.1021/acs.est.5b04413.","productDescription":"12 p.","startPage":"1691","endPage":"1702","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067070","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":471320,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/10023/10141","text":"External 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Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1233","title":"Salamander chytrid fungus (Batrachochytrium salamandrivorans) in the United States—Developing research, monitoring, and management strategies","docAbstract":"The recently (2013) identified pathogenic chytrid fungus, Batrachochytrium salamandrivorans (Bsal), poses a severe threat to the distribution and abundance of salamanders within the United States and Europe. Development of a response strategy for the potential, and likely, invasion of Bsal into the United States is crucial to protect global salamander biodiversity. A formal working group, led by Amphibian Research and Monitoring Initiative (ARMI) scientists from the U.S. Geological Survey (USGS) Patuxent Wildlife Research Center, Fort Collins Science Center, and Forest and Rangeland Ecosystem Science Center, was held at the USGS Powell Center for Analysis and Synthesis in Fort Collins, Colorado, United States from June 23 to June 25, 2015, to identify crucial Bsal research and monitoring needs that could inform conservation and management strategies for salamanders in the United States. Key findings of the workshop included the following: (1) the introduction of Bsal into the United States is highly probable, if not inevitable, thus requiring development of immediate short-term and long-term intervention strategies to prevent Bsal establishment and biodiversity decline; (2) management actions targeted towards pathogen containment may be ineffective in reducing the long-term spread of Bsal throughout the United States; and (3) early detection of Bsal through surveillance at key amphibian import locations, among high-risk wild populations, and through analysis of archived samples is necessary for developing management responses. Top research priorities during the preinvasion stage included the following: (1) deployment of qualified diagnostic methods for Bsal and establishment of standardized laboratory practices, (2) assessment of susceptibility for amphibian hosts (including anurans), and (3) development and evaluation of short- and long-term pathogen intervention and management strategies. Several outcomes were achieved during the workshop, including development of an organizational structure with working groups for a Bsal Task Force, creation of an initial influence diagram to aid in identifying effective management actions in the face of uncertainty, and production of a list of potential management actions and key research uncertainties. Additional products under development include a Bsal Strategic Action plan, an emergency response plan, a monitoring and surveillance program, a standardized diagnostic approach, decision models for natural resource agencies, and a reporting database for salamander mortalities. This workshop was the first international meeting to address the threat of Bsal to salamander populations in the United States, with more than 30 participants from U.S. conservation and resource management agencies (U.S. Fish and Wildlife Service, U.S. Forest Service, U.S. Department of Defense, U.S. National Park Service, and Association of Fish and Wildlife Agencies) and academic research institutions in Australia, the Netherlands, Switzerland, the United Kingdom, and the United States.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151233","usgsCitation":"Grant, E.H.C., Muths, E., Katz, R.A., Canessa, Stefano, Adam, M.J., Ballard, J.R., Berger, Lee, Briggs, C.J., Coleman, Jeremy, Gray, M.J., Harris, M.C., Harris, R.N., Hossack, Blake, Huyvaert, K.P., Kolby, J.E., Lips, K.R., Lovich, R.E., McCallum, H.I., Mendelson, J.R., III, Nanjappa, Priya, Olson, D.H., Powers, J.G., Richgels, K.L.D., Russell, R.E., Schmidt, B.R., Spitzen-van der Sluijs, Annemarieke, Watry, M.K., Woodhams, D.C., and White, C.L., 2016, Salamander chytrid fungus (Batrachochytrium salamandrivorans) in the United States—Developing research, monitoring, and management strategies: U.S. Geological Survey Open-File Report 2015–1233, 16 p., https://dx.doi.org/10.3133/ofr20151233.","productDescription":"v, 16 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-069828","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":313292,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1233/coverthb.jpg"},{"id":313293,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1233/ofr20151233.pdf","text":"Report","size":"902 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1233"}],"contact":"Director, Eastern Ecological Science Center
U.S. Geological Survey
12100 Beech Forest Road
Laurel, MD 20708
And
SO Conte Anadromous Fish Research Laboratory
1 Migratory Way
Turners Falls, MA 01376
Previous studies have shown that the impacts of climate change on the hydrologic response of the Skagit River are likely to be substantial under natural (i.e. unregulated) conditions. To assess the combined effects of changing natural flow and dam operations that determine impacts to regulated flow, a new integrated daily-time-step reservoir operations model was constructed for the Skagit River Basin. The model was used to simulate current reservoir operating policies for historical flow conditions and for projected flows for the 2040s (2030–2059) and 2080s (2070–2099). The results show that climate change is likely to cause substantial seasonal changes in both natural and regulated flow, with more flow in the winter and spring, and less in summer. Hydropower generation in the basin follows these trends, increasing (+ 19%) in the winter/ spring, and decreasing (- 29%) in the summer by the 2080s. The regulated 100-year flood is projected to increase by 23% by the 2040s and 49% by the 2080s. Peak winter sediment loading in December is projected to increase by 335% by the 2080s in response to increasing winter flows, and average annual sediment loading increases from 2.3 to 5.8 teragrams (+ 149%) per year by the 2080s. Regulated extreme low flows (7Q10) are projected to decrease by about 30% by the 2080s, but remain well above natural low flows. Both current and proposed alternative flood control operations are shown to be largely ineffective in mitigating increasing flood risks in the lower Skagit due to the distribution of flow in the basin during floods.
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