Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean continuous resources of 5 billion barrels of oil and 47 trillion cubic feet of gas in the Paleozoic Solimões, Amazonas, and Parnaíba Basin Provinces, Brazil.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173009","usgsCitation":"Schenk, C.J., Tennyson, M.E., Klett, T.R., Finn, T.M., Mercier, T.J., Hawkins, S.J., Gaswirth, S.B., Marra, K.R., Brownfield, M.E., Le, P.A., and Leathers-Miller, H.M., 2017, Assessment of continuous oil and gas resources of Solimões, Amazonas, and Parnaíba Basin Provinces, Brazil, 2016: U.S. Geological Survey Fact Sheet 2017–3009, 2 p., https://doi.org/10.3133/fs20173009.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-079937","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":338211,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3009/fs20173009.pdf","text":"Report","size":"348 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3009"},{"id":338210,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3009/coverthb.jpg"}],"country":"Brazil","state":"Amazonas Province, Parnaíba Basin Province, Solimões Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73,\n -19\n ],\n [\n -38.5,\n -19\n ],\n [\n -38.5,\n 7.5\n ],\n [\n -73,\n 7.5\n ],\n [\n -73,\n -19\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
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean continuous resources of 656 million barrels of oil and 5.7 trillion cubic feet of gas in the Maracaibo Basin Province, Venezuela and Colombia.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173011","usgsCitation":"Schenk, C.J., Tennyson, M.E., Mercier, T.J., Gaswirth, S.B., Marra, K.R., Le, P.A., Pitman, J.K., Brownfield, M.E., Hawkins, S.J., Leathers-Miller, H.M., Finn, T.M., and Klett, T.R., 2017, Assessment of continuous oil and gas resources of the Maracaibo Basin Province of Venezuela and Colombia, 2016: U.S. Geological Survey Fact Sheet 2017–3011, 2 p., https://doi.org/10.3133/fs20173011.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-081804","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":338214,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3011/fs20173011.pdf","text":"Report","size":"796 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3011"},{"id":338213,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3011/coverthb.jpg"}],"country":"Columbia, Venezuela","state":"Maracaibo Basin Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.15,\n 7.5\n ],\n [\n -70.15,\n 7.5\n ],\n [\n -70.15,\n 11.4\n ],\n [\n -73.15,\n 11.4\n ],\n [\n -73.15,\n 7.5\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
Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver Federal Center
Denver, CO 80225-0046
Five parabens used as preservatives in pharmaceuticals and personal care products (PPCPs) were measured in sewage sludges collected at 14 U.S. wastewater treatment plants (WWTPs) located in nine states. Detected concentration ranges (ng/g, dry weight) and frequencies were as follows: methyl paraben (15.9 to 203.0; 100%), propyl paraben (0.5 to 7.7; 100%), ethyl paraben (< 0.6 to 2.6; 63%), butyl paraben (< 0.4 to 4.3; 42%) and benzyl paraben (< 0.4 to 3.3; 26%). The estrogenicity inherent to the sum of parabens detected in sewage sludge (ranging from 10.1 to 500.1 pg/kg 17β-estradiol equivalents) was insignificant when compared to the 106-times higher value calculated for natural estrogens reported in the literature to occur in sewage sludge. Temporal monitoring at one WWTP provided insights into temporal and seasonal variations in paraben concentrations. This is the first report on the occurrence of five parabens in sewage sludges from across the U.S., and internationally, the first on temporal variations of paraben levels in sewage sludge. Study results will help to inform the risk assessment of sewage sludge destined for land application (biosolids).
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.03.162","usgsCitation":"Chen, J., Pycke, B., Brownawell, B.J., Kinney, C.A., Furlong, E.T., Kolpin, D.W., and Halden, R.U., 2017, Occurrence, temporal variation, and estrogenic burden of five parabens in sewage sludge collected across the United States: Science of the Total Environment, v. 593-594, p. 368-374, https://doi.org/10.1016/j.scitotenv.2017.03.162.","productDescription":"7 p.","startPage":"368","endPage":"374","ipdsId":"IP-084795","costCenters":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"links":[{"id":469988,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5510738","text":"Publisher Index Page"},{"id":382951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Indiana, Florida, Maryland, Montana, New York, Texas, Vermont, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.99414062499999,\n 31.466153715024294\n ],\n [\n -109.1162109375,\n 31.466153715024294\n ],\n [\n -109.1162109375,\n 37.16031654673677\n ],\n [\n -113.99414062499999,\n 37.16031654673677\n ],\n [\n -113.99414062499999,\n 31.466153715024294\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.5830078125,\n 37.996162679728116\n ],\n [\n -84.9462890625,\n 37.996162679728116\n ],\n [\n -84.9462890625,\n 41.80407814427234\n ],\n [\n -87.5830078125,\n 41.80407814427234\n ],\n [\n -87.5830078125,\n 37.996162679728116\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.615966796875,\n 24.397133017391052\n ],\n [\n -79.925537109375,\n 24.397133017391052\n ],\n [\n -79.925537109375,\n 31.005862904624205\n ],\n [\n -87.615966796875,\n 31.005862904624205\n ],\n [\n -87.615966796875,\n 24.397133017391052\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.37857055664061,\n 38.017803980061124\n ],\n [\n -75.15335083007812,\n 38.008066185425335\n ],\n [\n -75.00503540039062,\n 38.453588708941375\n ],\n [\n -75.69030761718749,\n 38.46219172306828\n ],\n [\n -75.7891845703125,\n 39.72197606377427\n ],\n [\n -79.47921752929686,\n 39.71986348549764\n ],\n [\n -79.48333740234375,\n 39.20352640482464\n ],\n [\n -79.17022705078125,\n 39.39375459224348\n ],\n [\n -79.04388427734375,\n 39.48602511162973\n ],\n [\n -78.95187377929688,\n 39.43937483836522\n ],\n [\n -78.782958984375,\n 39.637422462817\n ],\n [\n -78.70880126953125,\n 39.558059470852434\n ],\n [\n -78.46847534179688,\n 39.51887357127223\n ],\n [\n -78.17184448242188,\n 39.69239407904182\n ],\n [\n -77.98919677734375,\n 39.600397716215824\n ],\n [\n -77.83676147460938,\n 39.600397716215824\n ],\n [\n -77.88070678710938,\n 39.54323497544602\n ],\n [\n -77.77359008789062,\n 39.46164364205549\n ],\n [\n -77.73239135742188,\n 39.322612397176876\n ],\n [\n -77.54562377929688,\n 39.29285986803579\n ],\n [\n -77.45086669921875,\n 39.22055107521368\n ],\n [\n -77.50991821289062,\n 39.137516828427074\n ],\n [\n -77.28607177734375,\n 39.0351862510659\n ],\n [\n -77.08419799804688,\n 38.90385833966778\n ],\n [\n -77.01141357421875,\n 38.86965182408357\n ],\n [\n -77.0196533203125,\n 38.725161847874716\n ],\n [\n -77.10891723632812,\n 38.67264490154078\n ],\n [\n -77.19955444335938,\n 38.58789354020368\n ],\n [\n -77.2943115234375,\n 38.47401919222663\n ],\n [\n -77.21328735351562,\n 38.348118547988065\n ],\n [\n -77.02651977539062,\n 38.4428334985915\n ],\n [\n -76.98532104492188,\n 38.35350340353833\n ],\n [\n -76.83013916015625,\n 38.23386541556985\n ],\n [\n -76.58432006835938,\n 38.176671418717746\n ],\n [\n -76.35635375976562,\n 38.04484662140698\n ],\n [\n -76.02676391601562,\n 38.00049145082287\n ],\n [\n -75.87570190429688,\n 37.96152331396614\n ],\n [\n -75.6298828125,\n 37.982092409208875\n ],\n [\n -75.3717041015625,\n 38.019967758742766\n ],\n [\n -75.37857055664061,\n 38.017803980061124\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.103515625,\n 44.59046718130883\n ],\n [\n -103.88671875,\n 44.59046718130883\n ],\n [\n -103.88671875,\n 49.03786794532644\n ],\n [\n -116.103515625,\n 49.03786794532644\n ],\n [\n -116.103515625,\n 44.59046718130883\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.1640625,\n 41.705728515237524\n ],\n [\n -86.66015624999999,\n 41.705728515237524\n ],\n [\n -86.66015624999999,\n 46.800059446787316\n ],\n [\n -93.1640625,\n 46.800059446787316\n ],\n [\n -93.1640625,\n 41.705728515237524\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.779296875,\n 29.916852233070173\n ],\n [\n -93.42773437499999,\n 31.80289258670676\n ],\n [\n -94.306640625,\n 33.797408767572485\n ],\n [\n -99.931640625,\n 34.59704151614417\n ],\n [\n -100.283203125,\n 36.4566360115962\n ],\n [\n -103.18359375,\n 36.59788913307022\n ],\n [\n -103.0078125,\n 32.24997445586331\n ],\n [\n -106.61132812499999,\n 32.02670629333614\n ],\n [\n -105.1171875,\n 30.600093873550072\n ],\n [\n -103.271484375,\n 29.22889003019423\n ],\n [\n -102.041015625,\n 29.76437737516313\n ],\n [\n -100.37109375,\n 28.613459424004414\n ],\n [\n -99.052734375,\n 26.667095801104814\n ],\n [\n -97.20703125,\n 25.64152637306577\n ],\n [\n -93.779296875,\n 29.916852233070173\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.014892578125,\n 40.551374198715166\n ],\n [\n -72.26806640624999,\n 40.730608477796636\n ],\n [\n -71.7242431640625,\n 41.08763212467916\n ],\n [\n -72.279052734375,\n 41.21172151054787\n ],\n [\n -73.685302734375,\n 40.97160353279909\n ],\n [\n -73.54248046875,\n 41.20345619205131\n ],\n [\n -73.38317871093749,\n 42.39506551565123\n ],\n [\n -73.2952880859375,\n 42.783307077249624\n ],\n [\n -73.2513427734375,\n 43.54854811091286\n ],\n [\n -73.2183837890625,\n 45.01918507438176\n ],\n [\n -74.8223876953125,\n 45.01530198999212\n ],\n [\n -76.5087890625,\n 44.11125397357155\n ],\n [\n -76.5252685546875,\n 43.560491112629286\n ],\n [\n -77.6678466796875,\n 43.42100882994726\n ],\n [\n -79.0960693359375,\n 43.329173667843904\n ],\n [\n -78.9862060546875,\n 42.956422511073335\n ],\n [\n -78.85986328125,\n 42.779275360241904\n ],\n [\n -79.7772216796875,\n 42.30575300304638\n ],\n [\n -79.7607421875,\n 42.004407212963585\n ],\n [\n -75.3826904296875,\n 42.004407212963585\n ],\n [\n -75.0970458984375,\n 41.78360106648078\n ],\n [\n -74.9212646484375,\n 41.47977575214487\n ],\n [\n -73.85009765625,\n 40.98197154086656\n ],\n [\n -74.036865234375,\n 40.73893324113601\n ],\n [\n -74.014892578125,\n 40.551374198715166\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.32275390625,\n 42.53689200787315\n ],\n [\n -71.96044921875,\n 42.53689200787315\n ],\n [\n -71.96044921875,\n 44.98034238084973\n ],\n [\n -73.32275390625,\n 44.98034238084973\n ],\n [\n -73.32275390625,\n 42.53689200787315\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"593-594","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chen, Jing","contributorId":192654,"corporation":false,"usgs":false,"family":"Chen","given":"Jing","affiliations":[{"id":7044,"text":"University of Toronto","active":true,"usgs":false}],"preferred":false,"id":715042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pycke, Benny F. G.","contributorId":198084,"corporation":false,"usgs":false,"family":"Pycke","given":"Benny F. G.","affiliations":[],"preferred":false,"id":715043,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brownawell, Bruce J.","contributorId":198085,"corporation":false,"usgs":false,"family":"Brownawell","given":"Bruce","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":715044,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kinney, Chad A.","contributorId":198086,"corporation":false,"usgs":false,"family":"Kinney","given":"Chad","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":715045,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":715041,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715046,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Halden, Rolf U.","contributorId":198087,"corporation":false,"usgs":false,"family":"Halden","given":"Rolf","email":"","middleInitial":"U.","affiliations":[],"preferred":false,"id":715047,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70249437,"text":"70249437 - 2017 - A climate trend analysis of Ethiopia: Examining subseasonal climate impacts on crops and pasture conditions","interactions":[],"lastModifiedDate":"2023-10-10T12:18:08.067982","indexId":"70249437","displayToPublicDate":"2017-03-27T07:15:58","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"A climate trend analysis of Ethiopia: Examining subseasonal climate impacts on crops and pasture conditions","docAbstract":"Ethiopia experiences significant climate-induced drought and stress on crop and livestock productivity, contributing to widespread food insecurity. Here, we present subseasonal crop water stress analyses that indicate degrading, growing conditions along Ethiopia’s eastern highlands, including productive and populated highland regions. These seasonally shifting areas of increasing water stress stretch from the north to south across eastern Ethiopia, intersecting regions of acute food insecurity and/or high population. Crop model simulations indicate that between 1982 and 2014, parts of eastern Amhara and eastern Oromia experienced increasing water deficits during the critical sowing, flowering, and ripening periods of crop growth. These trends occurred while population in these regions increased by 143% between 2000 and 2015. These areas of enhanced crop water stress in south-central Ethiopia coincide with regions of high population growth and ongoing crop extensification. Conversely, large regions of relatively unpopulated western Ethiopia are becoming wetter. These areas may therefore be good targets for agricultural development.
The U.S. Geological Survey Central Plains Water Science Center, serving the states of Kansas and Nebraska, has collected and interpreted hydrologic information for more than a century. Data collected include streamflow and gage height, reservoir content, water quality and water quantity, suspended sediment, and groundwater levels. Interpretative hydrologic studies are completed on national, regional, statewide, and local levels and cooperatively funded through partnerships with these agencies. The U.S. Geological Survey provides impartial scientific information to describe and understand the health of our ecosystems and environment; minimize loss of life and property from natural disasters; manage water, biological, energy, and mineral resources; and enhance and protect our quality of life. These collected data are in the National Water Information System (Kansas: https://dashboard.waterdata.usgs.gov/app/nwd/en/ and Nebraska: https://dashboard.waterdata.usgs.gov/app/nwd/en/), and all results are documented in reports that also are online (Kansas: https://www.usgs.gov/centers/kswsc and Nebraska: https://www.usgs.gov/centers/nebraska-water-science-center/publications).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip173","usgsCitation":"U.S. Geological Survey, 2017, Central Plains Water Science Center bookmark (ver. 1.2, July 2025): U.S. Geological Survey General Information Product 173, 2 p., https://doi.org/10.3133/gip173.","productDescription":"Bookmark: 2.25 x 7.50 inches","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-085657","costCenters":[{"id":84311,"text":"Central Plains Water Science Center","active":true,"usgs":true}],"links":[{"id":492407,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/0173/coverthb4.jpg"},{"id":492363,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/0173/gip173.pdf","text":"Report","size":"1.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 173, ver. 1.2"},{"id":492422,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/gip/0173/versionHist.txt","text":"Version History","size":"1KB txt"}],"edition":"Version 1.0: March 27, 2017; Version 1.1: September 11, 2018; Version 1.2: July 17, 2025","contact":"Director, Kansas Water Science Center
U.S. Geological Survey
1217 Biltmore Dr
Lawrence, KS 66049
Freshwater mussels, one of the most imperiled groups of animals in the world, are generally underrepresented in toxicity databases used for the development of ambient water quality criteria and other environmental guidance values. Acute 96-h toxicity tests were conducted to evaluate the sensitivity of 5 species of juvenile mussels from 2 families and 4 tribes to 10 chemicals (ammonia, metals, major ions, and organic compounds) and to screen 10 additional chemicals (mainly organic compounds) with a commonly tested mussel species, fatmucket (Lampsilis siliquoidea). In the multi-species study, median effect concentrations (EC50s) among the 5 species differed by a factor of ≤2 for chloride, potassium, sulfate, and zinc; a factor of ≤5 for ammonia, chromium, copper, and nickel; and factors of 6 and 12 for metolachlor and alachlor, respectively, indicating that mussels representing different families or tribes had similar sensitivity to most of the tested chemicals, regardless of modes of action. There was a strong linear relationship between EC50s for fatmucket and the other 4 mussel species across the 10 chemicals (r2 = 0.97, slope close to 1.0), indicating that fatmucket was similar to other mussel species; thus, this commonly tested species can be a good surrogate for protecting other mussels in acute exposures. The sensitivity of juvenile fatmucket among different populations or cultured from larvae of wild adults and captive-cultured adults was also similar in acute exposures to copper or chloride, indicating captive-cultured adult mussels can reliably be used to reproduce juveniles for toxicity testing. In compiled databases for all freshwater species, 1 or more mussel species were among the 4 most sensitive species for alachlor, ammonia, chloride, potassium, sulfate, copper, nickel, and zinc; therefore, the development of water quality criteria and other environmental guidance values for these chemicals should reflect the sensitivity of mussels. In contrast, the EC50s of fatmucket tested in the single-species study were in the high percentiles (>75th) of species sensitivity distributions for 6 of 7 organic chemicals, indicating mussels might be relatively insensitive to organic chemicals in acute exposures.
","language":"English","publisher":"SETAC Press","doi":"10.1002/etc.3642","usgsCitation":"Wang, N., Ivey, C.D., Ingersoll, C.G., Brumbaugh, W.G., Alvarez, D., Hammer, E.J., Bauer, C.R., Augspurger, T., Raimondo, S., and Barnhart, M., 2017, Acute sensitivity of a broad range of freshwater mussels to chemicals with different modes of toxic action: Environmental Toxicology and Chemistry, v. 36, no. 3, p. 786-796, https://doi.org/10.1002/etc.3642.","productDescription":"11 p.","startPage":"786","endPage":"796","ipdsId":"IP-077267","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":469990,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8220997","text":"External Repository"},{"id":338421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-04","publicationStatus":"PW","scienceBaseUri":"58da2517e4b0543bf7fda7ec","contributors":{"authors":[{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":686402,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ivey, Chris D. 0000-0002-0485-7242 civey@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-7242","contributorId":3308,"corporation":false,"usgs":true,"family":"Ivey","given":"Chris","email":"civey@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":686403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":686404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":686405,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alvarez, David 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":150499,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":686406,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hammer, Edward J.","contributorId":150723,"corporation":false,"usgs":false,"family":"Hammer","given":"Edward","email":"","middleInitial":"J.","affiliations":[{"id":18077,"text":"U. S. Environmental Protection Agency, Region 5, Water Quality Branch, Chicago, Illinois","active":true,"usgs":false}],"preferred":false,"id":686407,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bauer, Candice R.","contributorId":150724,"corporation":false,"usgs":false,"family":"Bauer","given":"Candice","email":"","middleInitial":"R.","affiliations":[{"id":18077,"text":"U. S. Environmental Protection Agency, Region 5, Water Quality Branch, Chicago, Illinois","active":true,"usgs":false}],"preferred":false,"id":686408,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Augspurger, Tom","contributorId":189894,"corporation":false,"usgs":false,"family":"Augspurger","given":"Tom","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":686409,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Raimondo, Sandy","contributorId":150748,"corporation":false,"usgs":false,"family":"Raimondo","given":"Sandy","email":"","affiliations":[{"id":18090,"text":"U.S. Environmental Protection Agency, Gulf Ecology Division, Gulf Breeze, FL","active":true,"usgs":false}],"preferred":false,"id":686410,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Barnhart, M.Christopher","contributorId":189895,"corporation":false,"usgs":false,"family":"Barnhart","given":"M.Christopher","affiliations":[],"preferred":false,"id":686411,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70185665,"text":"70185665 - 2017 - The effect of lithology on valley width, terrace distribution, and coarse sediment provenance in a tectonically stable catchment with flat-lying stratigraphy","interactions":[],"lastModifiedDate":"2017-08-03T08:20:03","indexId":"70185665","displayToPublicDate":"2017-03-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":" The effect of lithology on valley width, terrace distribution, and coarse sediment provenance in a tectonically stable catchment with flat-lying stratigraphy","docAbstract":"How rock resistance or erodibility affects fluvial landforms and processes is an outstanding question in geomorphology that has recently garnered attention owing to the recognition that the erosion rates of bedrock channels largely set the pace of landscape evolution. In this work, we evaluate valley width, terrace distribution, and sediment provenance in terms of reach scale variation in lithology in the study reach and discuss the implications for landscape evolution in a catchment with relatively flat2\nlying stratigraphy and very little uplift. A reach of the 21 Buffalo National River in Arkansas was partitioned into lithologic reaches and the mechanical and chemical resistance of the main lithologies making up the catchment was measured. Valley width and the spatial distribution of terraces were compared among the different lithologic reaches. The surface grain size and provenance of coarse (2-90 mm) sediment of both modern gravel bars and older terrace deposits were measured and defined. The results demonstrate a strong impact of lithology upon valley width, terrace distribution, and coarse sediment provenance and therefore, upon landscape evolution processes. Channel down-cutting through different lithologies creates variable patterns of resistance across catchments and continents. Particularly in post-tectonic and nontectonic landscapes, the variation in resistance that arises from the exhumation of different rocks in channel longitudinal profiles can impact local base levels, initiating responses that can be propagated through channel networks. The rate at which that response is transmitted through channels is potentially amplified and/or mitigated by differences between the resistance of channel beds and sediment loads. In the study\n36 reach, variation in lithologic resistance influences the prevalence of lateral and vertical\n37 processes, thus producing a spatial pattern of terraces that reflects rock type rather than\n38 climate, regional base level change, or hydrologic variability.","language":"English","publisher":"Wiley","doi":"10.1002/esp.4116","usgsCitation":"Amanda Keen-Zebert, Hudson, M., Shepherd, S.L., and Thaler, E.A., 2017, The effect of lithology on valley width, terrace distribution, and coarse sediment provenance in a tectonically stable catchment with flat-lying stratigraphy: Earth Surface Processes and Landforms, v. 42, no. 10, p. 1573-1587, https://doi.org/10.1002/esp.4116.","productDescription":"15 p. ","startPage":"1573","endPage":"1587","ipdsId":"IP-069736","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":469989,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.4116","text":"Publisher Index Page"},{"id":338381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri","otherGeospatial":"Ozark Plateaus","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.3173828125,\n 36.77409249464195\n ],\n [\n -95.526123046875,\n 36.59788913307022\n ],\n [\n -95.504150390625,\n 36.29741818650811\n ],\n [\n -95.30639648437499,\n 35.88014896488361\n ],\n [\n -95.086669921875,\n 35.65729624809628\n ],\n [\n -94.779052734375,\n 35.460669951495305\n ],\n [\n -94.185791015625,\n 35.44277092585766\n ],\n [\n -93.71337890625,\n 35.21869749632885\n ],\n [\n -92.900390625,\n 35.0120020431607\n ],\n [\n -92.3291015625,\n 34.912962495216966\n ],\n [\n -91.307373046875,\n 35.54116627999815\n ],\n [\n -90.9228515625,\n 36.27970720524017\n ],\n [\n -89.945068359375,\n 36.686041276581925\n ],\n [\n -89.439697265625,\n 37.06394430056685\n ],\n [\n -89.6044921875,\n 37.38761749978395\n ],\n [\n -90.164794921875,\n 38.18638677411551\n ],\n [\n -90.494384765625,\n 38.634036452919226\n ],\n [\n -91.087646484375,\n 38.788345355085625\n ],\n [\n -91.60400390625,\n 38.736946065676\n ],\n [\n -92.10937499999999,\n 38.57393751557591\n ],\n [\n -92.515869140625,\n 38.35027253825765\n ],\n [\n -92.669677734375,\n 38.453588708941375\n ],\n [\n -93.8232421875,\n 38.07404145941957\n ],\n [\n -93.7353515625,\n 37.80544394934271\n ],\n [\n -94.427490234375,\n 37.38761749978395\n ],\n [\n -95.3173828125,\n 36.77409249464195\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-27","publicationStatus":"PW","scienceBaseUri":"58da2518e4b0543bf7fda7ee","contributors":{"authors":[{"text":"Amanda Keen-Zebert","contributorId":189863,"corporation":false,"usgs":false,"family":"Amanda Keen-Zebert","affiliations":[],"preferred":false,"id":686292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hudson, Mark R. 0000-0003-0338-6079 mhudson@usgs.gov","orcid":"https://orcid.org/0000-0003-0338-6079","contributorId":1236,"corporation":false,"usgs":true,"family":"Hudson","given":"Mark R.","email":"mhudson@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":686291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shepherd, Stephanie L.","contributorId":189864,"corporation":false,"usgs":false,"family":"Shepherd","given":"Stephanie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":686293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thaler, Evan A.","contributorId":189865,"corporation":false,"usgs":false,"family":"Thaler","given":"Evan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":686294,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70262876,"text":"70262876 - 2017 - Role of social media and networking in volcanic crises and communication","interactions":[],"lastModifiedDate":"2025-01-27T15:39:51.993231","indexId":"70262876","displayToPublicDate":"2017-03-26T09:37:07","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Role of social media and networking in volcanic crises and communication","docAbstract":"The growth of social media as a primary and often preferred news source has contributed to the rapid dissemination of information about volcanic eruptions and potential volcanic crises as an eruption begins. Information about volcanic activity comes from a variety of sources: news organisations, emergency management personnel, individuals (both public and official), and volcano monitoring agencies. Once posted, this information is easily shared, increasing the reach to a much broader population than the original audience. The onset and popularity of social media as a vehicle for eruption information dissemination has presented many benefits as well as challenges, and points towards a need for a more unified system for information. This includes volcano observatories using social media as an official channel to distribute activity statements, forecasts, and predictions on social media, in addition to the archiving of images and other information. This chapter looks at two examples of projects that collect/disseminate information regarding volcanic crises and eruptive activity utilizing social media sources. Based on those examples, recommendations are made to volcano observatories in relation to the use of social media as a two-way communication tool. These recommendations include using social media as a two-way dialogue to communicate and receive information directly from the public and other sources, stating that the social media account is from an official source, and posting types of information that the public are seeking such as images, videos, and figures.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Observing the volcano world","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/11157_2015_13","usgsCitation":"Sennert, S., Klemetti, E.W., and Bird, D., 2017, Role of social media and networking in volcanic crises and communication, chap. of Observing the volcano world, p. 733-743, https://doi.org/10.1007/11157_2015_13.","productDescription":"11 p.","startPage":"733","endPage":"743","ipdsId":"IP-063109","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":487598,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/11157_2015_13","text":"Publisher Index Page"},{"id":481267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2017-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Sennert, Sally K. 0000-0003-2022-723X","orcid":"https://orcid.org/0000-0003-2022-723X","contributorId":349897,"corporation":false,"usgs":true,"family":"Sennert","given":"Sally K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925100,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klemetti, Erik W.","contributorId":139092,"corporation":false,"usgs":false,"family":"Klemetti","given":"Erik","email":"","middleInitial":"W.","affiliations":[{"id":12650,"text":"Denison University","active":true,"usgs":false}],"preferred":false,"id":925101,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bird, Deanne","contributorId":199688,"corporation":false,"usgs":false,"family":"Bird","given":"Deanne","email":"","affiliations":[],"preferred":false,"id":925102,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70181998,"text":"ds1034 - 2017 - Bathymetry data collected in October 2014 from Fire Island, New York—The wilderness breach, shoreface, and bay","interactions":[],"lastModifiedDate":"2017-03-27T09:54:31","indexId":"ds1034","displayToPublicDate":"2017-03-24T17:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1034","title":"Bathymetry data collected in October 2014 from Fire Island, New York—The wilderness breach, shoreface, and bay","docAbstract":"Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, conducted a bathymetric survey of Fire Island, New York, from October 5 to 10, 2014. The U.S. Geological Survey is involved in a post-Hurricane Sandy effort to map and monitor the morphologic evolution of the wilderness breach, which formed in October 2012 during Hurricane Sandy, as part of the Hurricane Sandy Supplemental Project GS2-2B. During this study, bathymetry data were collected, using single-beam echo sounders and global positioning systems mounted to personal watercraft, along the Fire Island shoreface and within the wilderness breach, Fire Island Inlet, Narrow Bay, and Great South Bay east of Nicoll Bay. Additional bathymetry and elevation data were collected using backpack and wheel-mounted global positioning systems along the subaerial beach (foreshore and backshore), flood shoals, and shallow channels within the wilderness breach and adjacent shoreface.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1034","usgsCitation":"Nelson, T.R., Miselis, J.L., Hapke, C.J., Brenner, O.T., Henderson, R.E., Reynolds, B.J., and Wilson, K.E., 2017, Bathymetry data collected in October 2014 from Fire Island, New York—The wilderness breach, shoreface, and bay: U.S. Geological Survey Data Series 1034, https://doi.org/10.3133/ds1034.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-071668","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":337454,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1034/index.html","text":"Report HTML","linkFileType":{"id":5,"text":"html"},"description":"DS 1034"},{"id":337453,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1034/coverthb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.3172607421875,\n 40.60821853973967\n ],\n [\n -72.77412414550781,\n 40.60821853973967\n ],\n [\n -72.77412414550781,\n 40.77586181063573\n ],\n [\n -73.3172607421875,\n 40.77586181063573\n ],\n [\n -73.3172607421875,\n 40.60821853973967\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
600 4th Street South
St. Petersburg, FL 33701
https://coastal.er.usgs.gov/
The thermal maturity of shale is often measured by vitrinite reflectance (VRo). VRo measurements for the Devonian–Mississippian black shale source rocks evaluated herein predicted thermal immaturity in areas where associated reservoir rocks are oil-producing. This limitation of the VRo method led to the current evaluation of Raman spectroscopy as a suitable alternative for developing correlations between thermal maturity and Raman spectra. In this study, Raman spectra of Devonian–Mississippian black shale source rocks were regressed against measured VRo or sample-depth. Attempts were made to develop quantitative correlations of thermal maturity. Using sample-depth as a proxy for thermal maturity is not without limitations as thermal maturity as a function of depth depends on thermal gradient, which can vary through time, subsidence rate, uplift, lack of uplift, and faulting. Correlations between Raman data and vitrinite reflectance or sample-depth were quantified by peak-fitting the spectra. Various peak-fitting procedures were evaluated to determine the effects of the number of peaks and maximum peak widths on correlations between spectral metrics and thermal maturity. Correlations between D-frequency, G-band full width at half maximum (FWHM), and band separation between the G- and D-peaks and thermal maturity provided some degree of linearity throughout most peak-fitting assessments; however, these correlations and those calculated from the G-frequency, D/G FWHM ratio, and D/G peak area ratio also revealed a strong dependence on peak-fitting processes. This dependency on spectral analysis techniques raises questions about the validity of peak-fitting, particularly given the amount of subjective analyst involvement necessary to reconstruct spectra. This research shows how user interpretation and extrapolation affected the comparability of different samples, the accuracy of generated trends, and therefore, the potential of the Raman spectral method to become an industry benchmark as a thermal maturity probe. A Raman method devoid of extensive operator interaction and data manipulation is quintessential for creating a standard method.
Zoonotic diseases in wildlife present substantial challenges and risks to host populations, susceptible domestic livestock populations, and affected stakeholders. Brucellosis, a disease caused by the bacterium Brucella abortus, is endemic among elk (Cervus canadensis) attending winter feedgrounds and adjacent areas of western Wyoming, USA. To minimize transmission of brucellosis from elk to elk and elk to livestock, managers initiated a B. abortus strain 19 ballistic vaccination program in 1985. We used brucellosis prevalence (1971–2015) and reproductive outcome (2006–2015) data collected from female elk attending feedgrounds to assess efficacy of the strain 19 program while controlling for potentially confounding factors such as site and age. From our generalized linear models, we found that seroprevalence of brucellosis was 1) not lower following inception of vaccination; 2) not inversely associated with proportion of juveniles vaccinated over time; 3) not inversely associated with additional yearlings and adults vaccinated over time; and 4) associated more with feeding end-date than proportion of juveniles vaccinated. Using vaginal implant transmitters in adult females that were seropositive for brucellosis, we found little effect of vaccination coverage at reducing reproductive failures (i.e., abortion or stillbirth). Because we found limited support for efficacy of the strain 19 program, we support research to develop an oral vaccine and suggest that continuing other spatio-temporal management actions will be most effective to minimize transmission of brucellosis and reduce dependency of elk on supplemental winter feeding.
","language":"English","publisher":"The Wildlife Society","publisherLocation":"Washington, D.C.","doi":"10.1002/wsb.734","usgsCitation":"Maichak, E., Scurlock, B.M., Cross, P.C., Rogerson, J., Edwards, W.H., Wise, B., Smith, S.G., and Kreeger, T.J., 2017, Assessment of a strain 19 brucellosis vaccination program in elk: Wildlife Society Bulletin, v. 41, no. 1, p. 70-79, https://doi.org/10.1002/wsb.734.","productDescription":"10 p.","startPage":"70","endPage":"79","ipdsId":"IP-071247","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":499973,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/5c011601357f4269ab8e87d4a503fb36","text":"External Repository"},{"id":338279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.0662841796875,\n 42.57937729240967\n ],\n [\n -109.22607421875,\n 42.57937729240967\n ],\n [\n -109.22607421875,\n 43.54257572246922\n ],\n [\n -111.0662841796875,\n 43.54257572246922\n ],\n [\n -111.0662841796875,\n 42.57937729240967\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-07","publicationStatus":"PW","scienceBaseUri":"58d63032e4b05ec7991310cd","contributors":{"authors":[{"text":"Maichak, Eric","contributorId":36826,"corporation":false,"usgs":true,"family":"Maichak","given":"Eric","email":"","affiliations":[],"preferred":false,"id":686056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scurlock, Brandon M.","contributorId":93788,"corporation":false,"usgs":false,"family":"Scurlock","given":"Brandon","email":"","middleInitial":"M.","affiliations":[{"id":6917,"text":"Wyoming Game and Fish Department, Laramie, USA","active":true,"usgs":false}],"preferred":false,"id":686057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":686055,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rogerson, Jared D.","contributorId":106401,"corporation":false,"usgs":true,"family":"Rogerson","given":"Jared D.","affiliations":[],"preferred":false,"id":686058,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edwards, William H.","contributorId":9144,"corporation":false,"usgs":true,"family":"Edwards","given":"William","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":686059,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wise, Benjamin","contributorId":189800,"corporation":false,"usgs":false,"family":"Wise","given":"Benjamin","affiliations":[],"preferred":false,"id":686065,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Scott G.","contributorId":189801,"corporation":false,"usgs":false,"family":"Smith","given":"Scott","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":686066,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kreeger, Terry J.","contributorId":189227,"corporation":false,"usgs":false,"family":"Kreeger","given":"Terry","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":686062,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70185578,"text":"70185578 - 2017 - Range expansion by Passer montanus in North America","interactions":[],"lastModifiedDate":"2017-03-24T10:06:39","indexId":"70185578","displayToPublicDate":"2017-03-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Range expansion by Passer montanus in North America","docAbstract":"Passer montanus became established in a small area of central North America following its introduction in 1870. P. montanus underwent minimal range expansion in the first 100 years following introduction. However, the North American population of P. montanus is now growing in size and expanding in geographic distribution, having expanded approximately 125 km to the north by 1970. We quantify the distance of spread by P. montanus from its introduction site in the greater St. Louis, Missouri-Illinois, USA area, using distributional (presence) data from the National Audubon Society Christmas Bird Count surveys for the period of 1951 to 2014. Linear regressions of the average annual range center of P. montanus confirmed significant shifts to the north at a rate of 3.3 km/year (P < 0.001) km/year. Linear regressions of the linear and angular distance of range center indicates significant northern movement (change in angle of mean range center; P < 0.001) since 1951. Our results quantify the extent of a northward range expansion, and suggesting a probable spread of this species northward.
","language":"English","publisher":"Springer","publisherLocation":"Berlin","doi":"10.1007/s10530-016-1273-4","usgsCitation":"Burnett, J., Roberts, C.P., Allen, C.R., Brown, M., and Moulton, M., 2017, Range expansion by Passer montanus in North America: Biological Invasions, v. 19, no. 1, p. 5-9, https://doi.org/10.1007/s10530-016-1273-4.","productDescription":"5 p.","startPage":"5","endPage":"9","ipdsId":"IP-079385","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":338254,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","volume":"19","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-08","publicationStatus":"PW","scienceBaseUri":"58d63033e4b05ec7991310cf","contributors":{"authors":[{"text":"Burnett, J.L.","contributorId":189790,"corporation":false,"usgs":false,"family":"Burnett","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":686024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberts, C. P.","contributorId":189791,"corporation":false,"usgs":false,"family":"Roberts","given":"C.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":686025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":686023,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, M.B.","contributorId":189792,"corporation":false,"usgs":false,"family":"Brown","given":"M.B.","email":"","affiliations":[],"preferred":false,"id":686026,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moulton, M.P.","contributorId":189793,"corporation":false,"usgs":false,"family":"Moulton","given":"M.P.","email":"","affiliations":[],"preferred":false,"id":686027,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70185604,"text":"70185604 - 2017 - Modeling nonbreeding distributions of shorebirds and waterfowl in response to climate change","interactions":[],"lastModifiedDate":"2017-03-24T13:34:54","indexId":"70185604","displayToPublicDate":"2017-03-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Modeling nonbreeding distributions of shorebirds and waterfowl in response to climate change","docAbstract":"To identify areas on the landscape that may contribute to a robust network of conservation areas, we modeled the probabilities of occurrence of several en route migratory shorebirds and wintering waterfowl in the southern Great Plains of North America, including responses to changing climate. We predominantly used data from the eBird citizen-science project to model probabilities of occurrence relative to land-use patterns, spatial distribution of wetlands, and climate. We projected models to potential future climate conditions using five representative general circulation models of the Coupled Model Intercomparison Project 5 (CMIP5). We used Random Forests to model probabilities of occurrence and compared the time periods 1981–2010 (hindcast) and 2041–2070 (forecast) in “model space.” Projected changes in shorebird probabilities of occurrence varied with species-specific general distribution pattern, migration distance, and spatial extent. Species using the western and northern portion of the study area exhibited the greatest likelihoods of decline, whereas species with more easterly occurrences, mostly long-distance migrants, had the greatest projected increases in probability of occurrence. At an ecoregional extent, differences in probabilities of shorebird occurrence ranged from −0.015 to 0.045 when averaged across climate models, with the largest increases occurring early in migration. Spatial shifts are predicted for several shorebird species. Probabilities of occurrence of wintering Mallards and Northern Pintail are predicted to increase by 0.046 and 0.061, respectively, with northward shifts projected for both species. When incorporated into partner land management decision tools, results at ecoregional extents can be used to identify wetland complexes with the greatest potential to support birds in the nonbreeding season under a wide range of future climate scenarios.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.2755","usgsCitation":"Reese, G.C., and Skagen, S., 2017, Modeling nonbreeding distributions of shorebirds and waterfowl in response to climate change: Ecology and Evolution, v. 7, no. 5, p. 1497-1513, https://doi.org/10.1002/ece3.2755.","productDescription":"17 p.","startPage":"1497","endPage":"1513","ipdsId":"IP-073714","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469993,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.2755","text":"Publisher Index Page"},{"id":338301,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Plains Landscape Conservation Cooperative","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.01806640624999,\n 29.649868677972304\n ],\n [\n -95.47119140625,\n 29.649868677972304\n ],\n [\n -95.47119140625,\n 43.43696596521823\n ],\n [\n -106.01806640624999,\n 43.43696596521823\n ],\n [\n -106.01806640624999,\n 29.649868677972304\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-07","publicationStatus":"PW","scienceBaseUri":"58d63031e4b05ec7991310cb","chorus":{"doi":"10.1002/ece3.2755","url":"http://dx.doi.org/10.1002/ece3.2755","publisher":"Wiley-Blackwell","authors":"Reese Gordon C., Skagen Susan K.","journalName":"Ecology and Evolution","publicationDate":"2/7/2017","publiclyAccessibleDate":"2/7/2017"},"contributors":{"authors":[{"text":"Reese, Gordon C. 0000-0002-5191-7770 greese@usgs.gov","orcid":"https://orcid.org/0000-0002-5191-7770","contributorId":189809,"corporation":false,"usgs":true,"family":"Reese","given":"Gordon","email":"greese@usgs.gov","middleInitial":"C.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":686087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skagen, Susan K. 0000-0002-6744-1244 skagens@usgs.gov","orcid":"https://orcid.org/0000-0002-6744-1244","contributorId":167829,"corporation":false,"usgs":true,"family":"Skagen","given":"Susan K.","email":"skagens@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":686088,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70185562,"text":"70185562 - 2017 - Effects of impervious area and BMP implementation and design on storm runoff and water quality in eight small watersheds","interactions":[],"lastModifiedDate":"2017-04-10T08:41:30","indexId":"70185562","displayToPublicDate":"2017-03-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Effects of impervious area and BMP implementation and design on storm runoff and water quality in eight small watersheds","docAbstract":"The effects of increases in effective impervious area (EIA) and the implementation of water quality protection designed detention pond best management practices (BMPs) on storm runoff and stormwater quality were assessed in Gwinnett County, Georgia, for the period 2001-2008. Trends among eight small watersheds were compared, using a time trend study design. Significant trends were detected in three storm hydrologic metrics and in five water quality constituents that were adjusted for variability in storm characteristics and climate. Trends in EIA ranged from 0.10 to 1.35, and changes in EIA treated by BMPs ranged from 0.19 to 1.32; both expressed in units of percentage of drainage area per year. Trend relations indicated that for every 1% increase in watershed EIA, about 2.6, 1.1, and 1.5% increases in EIA treated by BMPs would be required to counteract the effects of EIA added to the watersheds on peak streamflow, stormwater yield, and storm streamflow runoff, respectively. Relations between trends in EIA, BMP implementation, and water quality were counterintuitive. This may be the result of (1) changes in constituent inputs in the watersheds, especially downstream of areas treated by BMPs; (2) BMPs may have increased the duration of stormflow that results in downstream channel erosion; and/or (3) spurious relationships between increases in EIA, BMP implementation, and constituent inputs with development rates.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12501","usgsCitation":"Aulenbach, B.T., Landers, M.N., Musser, J.W., and Painter, J.A., 2017, Effects of impervious area and BMP implementation and design on storm runoff and water quality in eight small watersheds: Journal of the American Water Resources Association, v. 53, no. 2, p. 382-399, https://doi.org/10.1111/1752-1688.12501.","productDescription":"18 p.","startPage":"382","endPage":"399","ipdsId":"IP-066225","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":338266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-30","publicationStatus":"PW","scienceBaseUri":"58d63034e4b05ec7991310d3","contributors":{"authors":[{"text":"Aulenbach, Brent T. 0000-0003-2863-1288 btaulenb@usgs.gov","orcid":"https://orcid.org/0000-0003-2863-1288","contributorId":3057,"corporation":false,"usgs":true,"family":"Aulenbach","given":"Brent","email":"btaulenb@usgs.gov","middleInitial":"T.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":685966,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landers, Mark N. 0000-0002-3014-0480 landers@usgs.gov","orcid":"https://orcid.org/0000-0002-3014-0480","contributorId":1103,"corporation":false,"usgs":true,"family":"Landers","given":"Mark","email":"landers@usgs.gov","middleInitial":"N.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":685967,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Musser, Jonathan W. 0000-0002-3543-0807 jwmusser@usgs.gov","orcid":"https://orcid.org/0000-0002-3543-0807","contributorId":2266,"corporation":false,"usgs":true,"family":"Musser","given":"Jonathan","email":"jwmusser@usgs.gov","middleInitial":"W.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":685968,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Painter, Jaime A. 0000-0001-8883-9158 jpainter@usgs.gov","orcid":"https://orcid.org/0000-0001-8883-9158","contributorId":1466,"corporation":false,"usgs":true,"family":"Painter","given":"Jaime","email":"jpainter@usgs.gov","middleInitial":"A.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":685969,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70185565,"text":"70185565 - 2017 - Flood effects provide evidence of an alternate stable state from dam management on the Upper Missouri River","interactions":[],"lastModifiedDate":"2017-07-10T14:57:01","indexId":"70185565","displayToPublicDate":"2017-03-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Flood effects provide evidence of an alternate stable state from dam management on the Upper Missouri River","docAbstract":"We examine how historic flooding in 2011 affected the geomorphic adjustments created by dam regulation along the approximately 120 km free flowing reach of the Upper Missouri River bounded upstream by the Garrison Dam (1953) and downstream by Lake Oahe Reservoir (1959) near the City of Bismarck, ND, USA. The largest flood since dam regulation occurred in 2011. Flood releases from the Garrison Dam began in May 2011 and lasted until October, peaking with a flow of more than 4200 m3 s−1. Channel cross-section data and aerial imagery before and after the flood were compared with historic rates of channel change to assess the relative impact of the flood on the river morphology. Results indicate that the 2011 flood maintained trends in island area with the loss of islands in the reach just below the dam and an increase in island area downstream. Channel capacity changes varied along the Garrison Segment as a result of the flood. The thalweg, which has been stable since the mid-1970s, did not migrate. And channel morphology, as defined by a newly developed shoaling metric, which quantifies the degree of channel braiding, indicates significant longitudinal variability in response to the flood. These results show that the 2011 flood exacerbates some geomorphic trends caused by the dam while reversing others. We conclude that the presence of dams has created an alternate geomorphic and related ecological stable state, which does not revert towards pre-dam conditions in response to the flood of record. This suggests that management of sediment transport dynamics as well as flow modification is necessary to restore the Garrison Segment of the Upper Missouri River towards pre-dam conditions and help create or maintain habitat for endangered species. Published 2016. This article is a U.S. Government work and is in the public domain in the USA.
","language":"English","publisher":"Wiley","publisherLocation":"New York, NY","doi":"10.1002/rra.3084","usgsCitation":"Skalak, K., Benthem, A.J., Hupp, C.R., Schenk, E.R., Galloway, J.M., and Nustad, R.A., 2017, Flood effects provide evidence of an alternate stable state from dam management on the Upper Missouri River: River Research and Applications, v. 33, no. 6, p. 889-902, https://doi.org/10.1002/rra.3084.","productDescription":"14 p.","startPage":"889","endPage":"902","ipdsId":"IP-078296","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":338264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Missouri River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.25,\n 44.25\n ],\n [\n -100,\n 44.25\n ],\n [\n -100,\n 48.5\n ],\n [\n -104.25,\n 48.5\n ],\n [\n -104.25,\n 44.25\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"33","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-07","publicationStatus":"PW","scienceBaseUri":"58d63033e4b05ec7991310d1","contributors":{"authors":[{"text":"Skalak, Katherine 0000-0003-4122-1240 kskalak@usgs.gov","orcid":"https://orcid.org/0000-0003-4122-1240","contributorId":3990,"corporation":false,"usgs":true,"family":"Skalak","given":"Katherine","email":"kskalak@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":685979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benthem, Adam J. 0000-0003-2372-0281 abenthem@usgs.gov","orcid":"https://orcid.org/0000-0003-2372-0281","contributorId":2740,"corporation":false,"usgs":true,"family":"Benthem","given":"Adam","email":"abenthem@usgs.gov","middleInitial":"J.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":685980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":685981,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schenk, Edward R. 0000-0001-6886-5754 eschenk@usgs.gov","orcid":"https://orcid.org/0000-0001-6886-5754","contributorId":2183,"corporation":false,"usgs":true,"family":"Schenk","given":"Edward","email":"eschenk@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":685982,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Galloway, Joel M. 0000-0002-9836-9724 jgallowa@usgs.gov","orcid":"https://orcid.org/0000-0002-9836-9724","contributorId":1562,"corporation":false,"usgs":true,"family":"Galloway","given":"Joel","email":"jgallowa@usgs.gov","middleInitial":"M.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":685983,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nustad, Rochelle A. 0000-0002-4713-5944 ranustad@usgs.gov","orcid":"https://orcid.org/0000-0002-4713-5944","contributorId":1811,"corporation":false,"usgs":true,"family":"Nustad","given":"Rochelle","email":"ranustad@usgs.gov","middleInitial":"A.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":685984,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70185554,"text":"ofr20171021 - 2017 - County-level estimates of nitrogen and phosphorus from animal manure for the conterminous United States, 2007 and 2012","interactions":[],"lastModifiedDate":"2017-08-29T09:31:10","indexId":"ofr20171021","displayToPublicDate":"2017-03-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1021","title":"County-level estimates of nitrogen and phosphorus from animal manure for the conterminous United States, 2007 and 2012","docAbstract":"County-level estimates of nitrogen and phosphorus inputs from animal manure for the conterminous United States were calculated from animal population inventories in the 2007 and 2012 Census of Agriculture, using previously published methods. These estimates of non-point nitrogen and phosphorus inputs from animal manure were compiled in support of the U.S. Geological Survey’s National Water-Quality Assessment Project of the National Water Quality Program and are needed to support national-scale investigations of stream and groundwater water quality. The estimates published in this report are comparable with older estimates which can be compared to show changes in nitrogen and phosphorus inputs from manure over time.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171021","issn":"2331-1258","usgsCitation":"Gronberg, J.M., and Arnold, T.L., 2017, County-level estimates of nitrogen and phosphorus from animal manure for the conterminous United States, 2007 and 2012: U.S. Geological Survey Open-File Report 2017–1021, 6 p., https://doi.org/10.3133/ofr20171021.","productDescription":"iii, 6 p.","numberOfPages":"14","onlineOnly":"Y","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":438408,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7X34VMZ","text":"USGS data release","linkHelpText":"County-level estimates of nitrogen and phosphorus from animal manure (2007 and 2012) and 30-meter-resolution grid of counties (2010) for the conterminous United States"},{"id":338286,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7X34VMZ","text":"USGS Data Release","description":"Datasets for County-Level Estimates of Nitrogen and Phosphorus from Animal Manure for the Conterminous United States, 2007 and 2012","linkHelpText":"Datasets for County-Level Estimates of Nitrogen and Phosphorus from Animal Manure for the Conterminous United States, 2007 and 2012"},{"id":338206,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1021/coverthb.jpg"},{"id":338207,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1021/ofr20171021.pdf","text":"Report","size":"229 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2017-1021"}],"country":"United States","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-75.867044,36.550754],[-75.536428,35.780118],[-75.723662,36.003139],[-75.85147,36.415785],[-76.019261,36.503506],[-75.793974,36.07171],[-75.922344,36.244122],[-75.904999,36.164188],[-76.184702,36.298166],[-76.064224,36.143775],[-76.447812,36.192514],[-76.298733,36.1012],[-76.514335,36.00564],[-76.676484,36.043612],[-76.693253,36.278357],[-76.7521,36.147328],[-76.667547,35.933509],[-76.024162,35.970891],[-76.04015,35.65131],[-75.947293,35.959835],[-75.80935,35.959308],[-75.71294,35.69849],[-75.775328,35.579335],[-75.895045,35.573152],[-76.149655,35.326411],[-76.485762,35.371375],[-76.586349,35.508957],[-76.471207,35.55742],[-76.634468,35.510332],[-76.580187,35.387113],[-77.023912,35.514802],[-76.467776,35.276951],[-76.60042,35.067867],[-76.801426,34.964369],[-76.982904,35.060607],[-76.762931,34.920374],[-76.463468,35.076411],[-76.395625,34.975179],[-76.288354,35.005726],[-76.524712,34.681964],[-76.604796,34.787482],[-76.673619,34.71491],[-76.523303,34.652271],[-76.038648,35.065045],[-76.535946,34.588577],[-76.726969,34.69669],[-77.169701,34.622023],[-77.740136,34.272546],[-77.970606,33.844517],[-78.276147,33.912364],[-78.772737,33.768511],[-79.084588,33.483669],[-79.18787,33.173712],[-79.359961,33.006672],[-79.55756,33.021269],[-79.576006,32.906235],[-79.999374,32.611851],[-80.472068,32.496964],[-80.455192,32.326458],[-80.858735,32.099581],[-80.862814,31.969346],[-81.203572,31.719448],[-81.133493,31.623348],[-81.260076,31.54828],[-81.177254,31.517074],[-81.288403,31.211065],[-81.493651,30.977528],[-81.403409,30.957914],[-81.447087,30.503679],[-81.163581,29.55529],[-80.525094,28.459454],[-80.606874,28.336484],[-80.566432,28.09563],[-80.031362,26.796339],[-80.127987,25.772245],[-80.154972,25.66549],[-80.197674,25.74437],[-80.296719,25.622195],[-80.31036,25.3731],[-80.418872,25.235532],[-81.079859,25.118797],[-81.352731,25.822015],[-81.527665,25.901531],[-81.68954,25.85271],[-81.868983,26.378648],[-82.105672,26.48393],[-82.181565,26.681712],[-82.093023,26.665614],[-82.063126,26.950214],[-82.175241,26.916867],[-82.147068,26.789803],[-82.259867,26.717398],[-82.745748,27.538834],[-82.65072,27.523115],[-82.393383,27.837519],[-82.478063,27.92768],[-82.47244,27.822559],[-82.553946,27.848462],[-82.553918,27.966998],[-82.678606,27.993715],[-82.720395,27.937199],[-82.566819,27.858002],[-82.733076,27.612972],[-82.846526,27.854301],[-82.654138,28.590837],[-82.804736,29.146624],[-83.053207,29.130839],[-83.686423,29.923735],[-84.000716,30.096209],[-84.256439,30.103791],[-84.358923,30.058224],[-84.349066,29.896812],[-85.344768,29.654793],[-85.413575,29.85294],[-85.353885,29.684765],[-85.302591,29.808094],[-85.405052,29.938487],[-86.2987,30.363049],[-86.750906,30.391881],[-88.028401,30.221132],[-87.755263,30.277292],[-88.008396,30.684956],[-88.136173,30.320729],[-88.841328,30.409598],[-89.291444,30.303296],[-89.335942,30.374016],[-89.461275,30.174745],[-89.857558,30.004439],[-89.660568,29.862909],[-89.481926,30.079128],[-89.372375,30.054729],[-89.433411,29.991205],[-89.368019,29.911491],[-89.218071,29.97275],[-89.322289,29.887333],[-89.236298,29.877081],[-89.383789,29.838928],[-89.271034,29.756355],[-89.651237,29.749479],[-89.485367,29.624357],[-89.688141,29.615055],[-89.700501,29.515967],[-89.508551,29.386168],[-89.189354,29.345061],[-89.000674,29.180091],[-89.41148,28.925011],[-89.354798,29.072543],[-89.482844,29.215053],[-89.850305,29.311768],[-89.849642,29.477996],[-90.01251,29.462775],[-90.009678,29.294785],[-90.096038,29.240673],[-89.949925,29.263154],[-90.174273,29.105301],[-90.348768,29.057817],[-90.234235,29.110268],[-90.271251,29.204639],[-90.332796,29.276956],[-90.472489,29.192688],[-90.510555,29.290925],[-90.803699,29.063709],[-90.637495,29.066608],[-90.839345,29.039167],[-90.961278,29.180817],[-91.278792,29.247776],[-91.33275,29.305816],[-91.221166,29.436421],[-91.531021,29.531543],[-91.553537,29.632766],[-91.648941,29.633635],[-91.632829,29.742576],[-91.88075,29.710839],[-91.889118,29.836023],[-92.149349,29.697052],[-91.712002,29.56474],[-91.782387,29.482882],[-92.046316,29.584362],[-92.61627,29.578729],[-93.267456,29.778113],[-94.056506,29.671163],[-94.778691,29.361483],[-94.495025,29.525031],[-94.779674,29.530533],[-94.735271,29.785433],[-94.893107,29.661336],[-94.965963,29.70033],[-95.018253,29.554885],[-94.909898,29.49691],[-94.893994,29.30817],[-95.16525,29.113566],[-94.72253,29.331446],[-95.38239,28.866348],[-96.378616,28.383909],[-95.978526,28.650594],[-96.228909,28.580873],[-96.222802,28.698431],[-96.487943,28.569677],[-96.648758,28.709627],[-96.403973,28.44245],[-96.672677,28.335579],[-96.775985,28.405809],[-96.800413,28.224128],[-96.934765,28.123873],[-97.037008,28.185528],[-97.214039,28.087494],[-97.022806,28.107588],[-97.186709,27.825453],[-97.379042,27.837867],[-97.253955,27.696696],[-97.401942,27.335574],[-97.532223,27.278577],[-97.501688,27.366618],[-97.639094,27.253131],[-97.42408,27.264073],[-97.563266,26.842188],[-97.295072,26.108342],[-97.216954,25.993838],[-97.152009,26.062108],[-97.145567,25.971132],[-97.422636,25.840378],[-97.649176,26.021499],[-98.197046,26.056153],[-98.807348,26.369421],[-99.085126,26.398782],[-99.268613,26.843213],[-99.446524,27.023008],[-99.512219,27.568094],[-99.841708,27.766464],[-99.931812,27.980967],[-100.293468,28.278475],[-100.333814,28.499252],[-100.797671,29.246943],[-101.254895,29.520342],[-101.415402,29.756561],[-102.315389,29.87992],[-102.386678,29.76688],[-102.670971,29.741954],[-102.866846,29.225015],[-103.115328,28.98527],[-103.28119,28.982138],[-104.507568,29.639624],[-104.924796,30.604832],[-106.207837,31.468188],[-106.451541,31.764808],[-108.208394,31.783599],[-108.208573,31.333395],[-111.074825,31.332239],[-114.813613,32.494277],[-114.719633,32.718763],[-117.124862,32.534156],[-117.469794,33.296417],[-118.132698,33.753217],[-118.411211,33.741985],[-118.519514,34.027509],[-119.130169,34.100102],[-119.559459,34.413395],[-120.471376,34.447846],[-120.637805,34.56622],[-120.644311,35.139616],[-120.856047,35.206487],[-120.884757,35.430196],[-121.284973,35.674109],[-121.503112,36.000299],[-121.888491,36.30281],[-121.978592,36.580488],[-121.814462,36.682858],[-121.862266,36.931552],[-122.105976,36.955951],[-122.405073,37.195791],[-122.514483,37.780829],[-122.398139,37.80563],[-122.378545,37.605592],[-122.111344,37.50758],[-122.430087,37.963115],[-122.273006,38.07438],[-122.489974,38.112014],[-122.438268,37.880974],[-122.505383,37.822128],[-122.882114,38.025273],[-123.024066,37.994878],[-122.977082,38.267902],[-123.725367,38.917438],[-123.851714,39.832041],[-124.363414,40.260974],[-124.408601,40.443201],[-124.137066,40.925732],[-124.063076,41.439579],[-124.147412,41.717955],[-124.255994,41.783014],[-124.214213,42.005939],[-124.410982,42.250547],[-124.401177,42.627192],[-124.552441,42.840568],[-124.233534,43.55713],[-124.067569,44.428582],[-123.927891,46.009564],[-124.024305,46.229256],[-123.854801,46.157342],[-123.547636,46.265595],[-124.080671,46.267239],[-124.068655,46.634879],[-124.026032,46.462978],[-123.943667,46.477197],[-123.960642,46.636364],[-123.84621,46.716795],[-124.092176,46.741624],[-124.138225,46.905534],[-123.86018,46.948556],[-124.122057,47.04165],[-124.180111,46.926357],[-124.425195,47.738434],[-124.672427,47.964414],[-124.733174,48.163393],[-124.65894,48.331057],[-124.731828,48.381157],[-123.981032,48.164761],[-123.332699,48.11297],[-123.133445,48.177276],[-122.877641,48.047025],[-122.833173,48.134406],[-122.760448,48.14324],[-122.766648,48.04429],[-122.68724,48.101662],[-122.718082,47.987739],[-122.610341,47.887343],[-122.811929,47.679861],[-122.820178,47.835904],[-123.15598,47.355745],[-122.549072,47.919072],[-122.470333,47.757109],[-122.554454,47.745704],[-122.479089,47.583654],[-122.547521,47.285344],[-122.611464,47.2181],[-122.697378,47.283969],[-122.632463,47.376394],[-122.725738,47.33047],[-122.641802,47.205013],[-122.711997,47.127681],[-122.832799,47.243412],[-122.803688,47.355071],[-122.863732,47.270221],[-122.858735,47.167955],[-122.67813,47.103866],[-122.547747,47.316403],[-122.4442,47.266723],[-122.324833,47.348521],[-122.421139,47.57602],[-122.339513,47.599113],[-122.429841,47.658919],[-122.224979,48.016626],[-122.395499,48.228551],[-122.479008,48.175703],[-122.358375,48.056133],[-122.512031,48.133931],[-122.530996,48.249821],[-122.371693,48.287839],[-122.712322,48.464143],[-122.471832,48.470724],[-122.534719,48.574246],[-122.425271,48.599522],[-122.535803,48.776128],[-122.673472,48.733082],[-122.821631,48.941369],[-122.75802,49.002357],[-95.153711,48.998903],[-95.15335,49.383079],[-94.957465,49.370186],[-94.816222,49.320987],[-94.645083,48.744143],[-93.840754,48.628548],[-93.794454,48.516021],[-92.954876,48.631493],[-92.634931,48.542873],[-92.712562,48.463013],[-92.456325,48.414204],[-92.369174,48.220268],[-92.26228,48.354933],[-92.055228,48.359213],[-91.567254,48.043719],[-90.88548,48.245784],[-90.751608,48.090968],[-89.489226,48.014528],[-90.86827,47.5569],[-92.094089,46.787839],[-91.961889,46.682539],[-90.855874,46.962232],[-90.750952,46.890293],[-90.951476,46.597033],[-90.73726,46.692267],[-90.436512,46.561748],[-88.972802,47.002096],[-88.418841,47.371058],[-87.929672,47.478743],[-87.710471,47.4062],[-87.957058,47.38726],[-88.227552,47.199938],[-88.443901,46.972251],[-88.462349,46.786711],[-88.142807,46.966302],[-88.175197,46.90458],[-87.681561,46.842392],[-87.352448,46.501324],[-87.008724,46.532723],[-86.850111,46.434114],[-86.698139,46.438624],[-86.678182,46.561039],[-86.586168,46.463324],[-86.161681,46.669475],[-84.989497,46.772403],[-85.015211,46.479712],[-84.551496,46.418522],[-84.128925,46.530119],[-84.097766,46.256512],[-84.251424,46.175888],[-83.873147,45.993426],[-83.765277,46.018363],[-83.815826,46.108529],[-83.581315,46.089613],[-83.510623,45.929324],[-84.376429,45.931962],[-84.656567,46.052654],[-84.746985,45.835597],[-85.01399,46.010774],[-85.499422,46.09692],[-85.697203,45.960158],[-86.278007,45.942057],[-86.616893,45.606796],[-86.718191,45.67732],[-86.541464,45.890234],[-86.78208,45.860195],[-86.964275,45.672761],[-87.031435,45.837238],[-87.600796,45.146842],[-87.630298,44.976865],[-87.837647,44.933091],[-88.005518,44.539216],[-87.756048,44.649117],[-87.609784,44.838514],[-87.384821,44.865532],[-87.238426,45.166492],[-86.970355,45.278455],[-87.467089,44.553557],[-87.512903,44.192808],[-87.735436,43.882219],[-87.702685,43.687596],[-87.911787,43.250406],[-87.766675,42.784896],[-87.828569,42.269922],[-87.42344,41.642835],[-87.066033,41.661845],[-86.616978,41.896625],[-86.297168,42.358207],[-86.208654,42.69209],[-86.254646,43.083409],[-86.540916,43.633158],[-86.43114,43.815569],[-86.514704,44.057672],[-86.26871,44.345324],[-86.254996,44.691935],[-85.551072,45.210742],[-85.652355,44.849092],[-85.593833,44.768651],[-85.475204,44.991053],[-85.576566,44.760208],[-85.3958,44.931018],[-85.371593,45.270834],[-84.91585,45.393115],[-85.115479,45.539406],[-84.942636,45.714292],[-85.014509,45.760329],[-84.726192,45.786905],[-84.215268,45.634767],[-84.095905,45.497298],[-83.488826,45.355872],[-83.265896,45.026844],[-83.454168,45.03188],[-83.274747,44.714893],[-83.332533,44.340464],[-83.53771,44.248171],[-83.58409,44.056748],[-83.877047,43.959351],[-83.909479,43.672622],[-83.666052,43.591292],[-83.26153,43.973525],[-82.967439,44.066138],[-82.746255,43.996037],[-82.643166,43.852468],[-82.412965,42.977041],[-82.518782,42.613888],[-82.686417,42.518597],[-82.630851,42.673341],[-82.813518,42.640833],[-82.894013,42.389437],[-83.096521,42.290138],[-83.133511,42.088143],[-83.455626,41.727445],[-82.934369,41.514353],[-82.834101,41.587587],[-82.499099,41.381541],[-82.011966,41.515639],[-81.738755,41.48855],[-81.288892,41.758945],[-80.329976,42.036168],[-79.148723,42.553672],[-78.851355,42.791758],[-79.074467,43.077855],[-79.070469,43.262454],[-78.370221,43.376505],[-77.760231,43.341161],[-77.551022,43.235763],[-76.958402,43.270005],[-76.235834,43.529256],[-76.28272,43.858601],[-76.125023,43.912773],[-76.360306,44.070907],[-76.312647,44.199044],[-74.992756,44.977449],[-71.502487,45.013367],[-71.443882,45.235462],[-71.296509,45.29919],[-71.13943,45.242958],[-71.01081,45.34725],[-70.857042,45.22916],[-70.795009,45.428145],[-70.634661,45.383608],[-70.688214,45.563981],[-70.259117,45.890755],[-70.292736,46.191599],[-70.057061,46.415036],[-69.997086,46.69523],[-69.22442,47.459686],[-69.043947,47.427634],[-69.050334,47.256621],[-68.902425,47.178839],[-68.329879,47.36023],[-67.955669,47.199542],[-67.789461,47.062544],[-67.750422,45.917898],[-67.817892,45.693705],[-67.429716,45.583773],[-67.489464,45.282653],[-67.345585,45.126392],[-67.157919,45.161004],[-66.950569,44.814539],[-67.293403,44.599265],[-67.308538,44.707454],[-67.405492,44.594236],[-67.551133,44.621938],[-67.568159,44.531117],[-67.839896,44.558771],[-67.855108,44.419434],[-68.049334,44.33073],[-68.117746,44.475038],[-68.261708,44.484062],[-68.173608,44.328397],[-68.317588,44.225101],[-68.430946,44.298624],[-68.3791,44.430049],[-68.565161,44.39907],[-68.525302,44.227554],[-68.827197,44.31216],[-68.783679,44.473879],[-68.927452,44.448039],[-69.100863,44.104529],[-69.031878,44.079036],[-69.214205,43.935583],[-69.398455,43.971804],[-69.838689,43.70514],[-69.884066,43.778035],[-70.041351,43.738053],[-70.009869,43.859315],[-70.190014,43.771866],[-70.196911,43.565146],[-70.361214,43.52919],[-70.810069,42.909549],[-70.778671,42.693622],[-70.594014,42.63503],[-70.871382,42.546404],[-71.01568,42.326019],[-70.722269,42.207959],[-70.63848,42.081579],[-70.710034,41.999544],[-70.552941,41.929641],[-70.471552,41.761563],[-70.024734,41.787364],[-70.095595,42.032832],[-70.245385,42.063733],[-70.058531,42.040363],[-69.935952,41.809422],[-69.998071,41.54365],[-70.007011,41.671579],[-70.351634,41.634687],[-70.948431,41.409193],[-70.658659,41.543385],[-70.623652,41.707398],[-70.718739,41.73574],[-71.19302,41.457931],[-71.240709,41.619225],[-71.24071,41.474872],[-71.337695,41.448902],[-71.19564,41.67509],[-71.350057,41.727835],[-71.449318,41.687401],[-71.483295,41.371722],[-72.916827,41.282033],[-73.643478,41.002171],[-73.781369,40.794907],[-73.485365,40.946397],[-72.585327,40.997587],[-72.278789,41.158722],[-72.317238,41.088659],[-72.10216,40.991509],[-71.856214,41.070598],[-73.23914,40.6251],[-73.934512,40.545175],[-74.024543,40.709436],[-74.186027,40.646076],[-74.261889,40.464706],[-73.978282,40.440208],[-74.096906,39.76303],[-74.864458,38.94041],[-74.971995,38.94037],[-74.887167,39.158825],[-75.136548,39.179425],[-75.536431,39.460559],[-75.509342,39.685313],[-75.587147,39.651012],[-75.402035,39.066885],[-75.089473,38.797198],[-75.048939,38.451263],[-75.195382,38.093582],[-75.514921,37.799149],[-75.906734,37.114193],[-76.018645,37.31782],[-75.663095,37.961195],[-75.892686,37.916848],[-75.812913,38.058932],[-75.843862,38.144599],[-75.958786,38.135572],[-75.848473,38.20934],[-75.970514,38.233668],[-75.973876,38.36585],[-76.032044,38.216684],[-76.258189,38.318373],[-76.33636,38.492235],[-76.147158,38.63684],[-76.238685,38.735434],[-76.347998,38.686234],[-76.271575,38.851771],[-76.19343,38.821787],[-76.203638,38.928382],[-76.376031,38.848777],[-76.311766,39.035257],[-76.164004,38.99953],[-76.145174,39.092824],[-76.231765,39.018518],[-76.274741,39.164961],[-76.170588,39.331954],[-76.002408,39.367501],[-75.970337,39.557637],[-76.096072,39.536912],[-76.060988,39.447775],[-76.281374,39.304531],[-76.341443,39.354217],[-76.425281,39.205708],[-76.535885,39.211008],[-76.394358,39.01216],[-76.557535,38.744687],[-76.321499,38.03805],[-76.920778,38.291529],[-77.016371,38.445572],[-77.250172,38.382781],[-77.263599,38.512344],[-77.12634,38.6177],[-77.246704,38.635217],[-77.279633,38.339444],[-77.043526,38.400548],[-76.962311,38.214075],[-76.613939,38.148587],[-76.236725,37.889174],[-76.339892,37.655966],[-76.28037,37.613715],[-76.36232,37.610368],[-76.784618,37.869569],[-76.542666,37.616857],[-76.300144,37.561734],[-76.360474,37.51924],[-76.265056,37.481365],[-76.275552,37.309964],[-76.415167,37.402133],[-76.349489,37.273963],[-76.50364,37.233856],[-76.292344,37.126615],[-76.304272,37.001378],[-76.428869,36.969947],[-76.649869,37.220914],[-76.802511,37.198308],[-76.685614,37.198851],[-76.662558,37.045748],[-76.469914,36.882898],[-76.297663,36.968147],[-75.996252,36.922047],[-75.867044,36.550754]],[[-77.038598,38.791513],[-76.910795,38.891712],[-77.040999,38.99511],[-77.1199,38.934311],[-77.038598,38.791513]]],[[[-88.124658,30.28364],[-88.075856,30.246139],[-88.313323,30.230024],[-88.124658,30.28364]]],[[[-120.248484,33.999329],[-120.043259,34.035806],[-119.97026,33.944359],[-120.121817,33.895712],[-120.248484,33.999329]]],[[[-119.789798,34.05726],[-119.52064,34.034262],[-119.758141,33.959212],[-119.923337,34.069361],[-119.789798,34.05726]]],[[[-118.524531,32.895488],[-118.605534,33.030999],[-118.353504,32.821962],[-118.524531,32.895488]]],[[[-118.500212,33.449592],[-118.305084,33.310323],[-118.465368,33.326056],[-118.60403,33.47654],[-118.500212,33.449592]]],[[[-81.582923,24.658732],[-81.425483,24.752989],[-81.298028,24.656774],[-81.81289,24.546468],[-81.582923,24.658732]]],[[[-84.777208,29.707398],[-84.696726,29.76993],[-85.097082,29.625215],[-84.777208,29.707398]]],[[[-85.156415,29.679628],[-85.077237,29.670862],[-85.222546,29.678039],[-85.156415,29.679628]]],[[[-82.255777,26.703437],[-82.166042,26.489679],[-82.013913,26.452058],[-82.177017,26.471558],[-82.255777,26.703437]]],[[[-80.250581,25.34193],[-80.659395,24.897433],[-80.174544,25.518406],[-80.250581,25.34193]]],[[[-88.865067,29.752714],[-88.944435,29.658806],[-88.8312,29.878839],[-88.881454,30.053202],[-88.865067,29.752714]]],[[[-70.59628,41.471905],[-70.451084,41.348161],[-70.838777,41.347209],[-70.59628,41.471905]]],[[[-70.092142,41.297741],[-70.049053,41.391702],[-69.960181,41.264546],[-70.275526,41.310464],[-70.092142,41.297741]]],[[[-68.453236,44.189998],[-68.384903,44.154955],[-68.502096,44.152388],[-68.453236,44.189998]]],[[[-68.680773,44.279242],[-68.605906,44.230772],[-68.675056,44.137131],[-68.680773,44.279242]]],[[[-68.785601,44.053503],[-68.944597,44.11284],[-68.825067,44.186338],[-68.785601,44.053503]]],[[[-68.942826,44.281073],[-68.868444,44.38144],[-68.95189,44.218719],[-68.942826,44.281073]]],[[[-88.684434,48.115785],[-88.418244,48.18037],[-88.968903,47.901675],[-88.899698,47.902445],[-89.255202,47.876102],[-88.684434,48.115785]]],[[[-84.612845,45.834528],[-84.35602,45.771895],[-84.484128,45.73071],[-84.612845,45.834528]]],[[[-85.566441,45.760222],[-85.487026,45.621211],[-85.561634,45.572213],[-85.630016,45.598166],[-85.566441,45.760222]]],[[[-88.710719,30.250799],[-88.562067,30.227476],[-88.771991,30.245523],[-88.710719,30.250799]]],[[[-75.753765,35.199612],[-75.529393,35.288272],[-75.533512,35.773577],[-75.458659,35.596597],[-75.52592,35.233839],[-76.013145,35.061855],[-75.753765,35.199612]]],[[[-74.144428,40.53516],[-74.254588,40.502303],[-74.1894,40.642121],[-74.075884,40.648101],[-74.144428,40.53516]]],[[[-97.240849,26.411504],[-97.387459,26.820789],[-97.361796,27.359988],[-96.879424,28.131402],[-96.403206,28.371475],[-96.966996,27.950531],[-97.30447,27.407734],[-97.370731,26.909706],[-97.154271,26.066841],[-97.240849,26.411504]]],[[[-122.519535,48.288314],[-122.668385,48.223967],[-122.54512,48.05255],[-122.376259,48.034457],[-122.380497,47.904023],[-122.770045,48.224395],[-122.664659,48.401508],[-122.519535,48.288314]]],[[[-122.474684,47.511068],[-122.373628,47.388718],[-122.51885,47.33332],[-122.474684,47.511068]]],[[[-122.800217,48.60169],[-122.803521,48.428748],[-122.874135,48.418196],[-123.203026,48.596178],[-122.987296,48.561895],[-123.048652,48.621002],[-122.894599,48.71503],[-122.743049,48.661991],[-122.800217,48.60169]]],[[[-90.572383,46.958835],[-90.508157,46.956836],[-90.654796,46.919249],[-90.572383,46.958835]]],[[[-90.757147,47.03372],[-90.544875,47.017383],[-90.671581,46.948973],[-90.757147,47.03372]]],[[[-86.880572,45.331467],[-86.943041,45.41525],[-86.810055,45.422619],[-86.880572,45.331467]]]]},\"properties\":{\"name\":\"Alabama\",\"nation\":\"USA \"}}]}\n","contact":"High variability in precipitation and streamflow in the semiarid northern Great Plains causes large uncertainty in water availability. This uncertainty is compounded by potential effects of future climate change. We examined historical variability in annual and growing season precipitation, temperature, and streamflow within the Little Missouri River Basin and identified differences in the runoff response to precipitation for the period 1976-2012 compared to 1939-1975 (n = 37 years in both cases). Computed mean values for the second half of the record showed little change (<5%) in annual or growing season precipitation, but average annual runoff at the basin outlet decreased by 22%, with 66% of the reduction in flow occurring during the growing season. Our results show a statistically significant (p < 0.10) 27% decrease in the annual runoff response to precipitation (runoff ratio). Surface-water withdrawals for various uses appear to account for <12% of the reduction in average annual flow volume, and we found no published or reported evidence of substantial flow reduction caused by groundwater pumping in this basin. Results of our analysis suggest that increases in monthly average maximum and minimum temperatures, including >1°C increases in January through March, are the dominant driver of the observed decrease in runoff response to precipitation in the Little Missouri River Basin.
","language":"English","publisher":"American Water Resources Association","publisherLocation":"Herndon, VA","doi":"10.1111/1752-1688.12517","usgsCitation":"Griffin, E.R., and Friedman, J.M., 2017, Decreased runoff response to precipitation, Little Missouri River Basin, northern Great Plains, USA: Journal of the American Water Resources Association, v. 53, no. 3, p. 576-592, https://doi.org/10.1111/1752-1688.12517.","productDescription":"17 p.","startPage":"576","endPage":"592","ipdsId":"IP-073357","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":338166,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota, South Dakota, Wyoming","otherGeospatial":"Little 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 -105.435791015625,\n 44.449467536006935\n ],\n [\n -102.095947265625,\n 44.449467536006935\n ],\n [\n -102.095947265625,\n 47.88688085106901\n ],\n [\n -105.435791015625,\n 47.88688085106901\n ],\n [\n -105.435791015625,\n 44.449467536006935\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"53","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-17","publicationStatus":"PW","scienceBaseUri":"58d4deffe4b05ec79911d19a","contributors":{"authors":[{"text":"Griffin, Eleanor R. 0000-0001-6724-9853 egriffin@usgs.gov","orcid":"https://orcid.org/0000-0001-6724-9853","contributorId":1775,"corporation":false,"usgs":true,"family":"Griffin","given":"Eleanor","email":"egriffin@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":685812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":685813,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70190161,"text":"70190161 - 2017 - Effects of experimentally reduced snowpack and passive warming on montane meadow plant phenology and floral resources","interactions":[],"lastModifiedDate":"2017-11-22T17:00:39","indexId":"70190161","displayToPublicDate":"2017-03-23T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Effects of experimentally reduced snowpack and passive warming on montane meadow plant phenology and floral resources","docAbstract":"Climate change can have a broad range of effects on ecosystems and organisms, and early responses may include shifts in vegetation phenology and productivity that may not coincide with the energetics and forage timing of higher trophic levels. We evaluated phenology, annual height growth, and foliar frost responses of forbs to a factorial experiment of snow removal (SR) and warming in a high-elevation meadow over two years in the Rocky Mountains, United States. Species included arrowleaf balsamroot (Balsamorhiza sagittata, early-season emergence and flowering) and buckwheat (Eriogonum umbellatum, semi-woody and late-season flowering), key forbs for pollinator and nectar-using animal communities that are widely distributed and locally abundant in western North America. Snow removal exerted stronger effects than did warming, and advanced phenology differently for each species. Specifically, SR advanced green-up by a few days for B. sagittata to >2 wk in E. umbellatum, and led to 5- to 11-d advances in flowering of B. sagittata in one year and advances in bud break in 3 of 4 species/yr combinations. Snow removal increased height of E. umbellatum appreciably (~5 cm added to ~22.8 cm in control), but led to substantial increases in frost damage to flowers of B. sagittata. Whereas warming had no effects on E. umbellatum, it increased heights of B. sagittata by >6 cm (compared to 30.7 cm in control plots) and moreover led to appreciable reductions in frost damage to flowers. These data suggest that timing of snowmelt, which is highly variable from year to year but is advancing in recent decades, has a greater impact on these critical phenological, growth, and floral survival traits and floral/nectar resources than warming per se, although warming mitigated early effects of SR on frost kill of flowers. Given the short growing season of these species, the shifts could cause uncoupling in nectar availability and timing of foraging.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1745","usgsCitation":"Sherwood, J., Debinski, D., Caragea, P., and Germino, M., 2017, Effects of experimentally reduced snowpack and passive warming on montane meadow plant phenology and floral resources: Ecosphere, v. 8, no. 3, Article e01745: 13 p., https://doi.org/10.1002/ecs2.1745.","productDescription":"Article e01745: 13 p.","ipdsId":"IP-086158","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469994,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1745","text":"Publisher Index Page"},{"id":344848,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-17","publicationStatus":"PW","scienceBaseUri":"59b76f2ae4b08b1644ddfaee","contributors":{"authors":[{"text":"Sherwood, J.A.","contributorId":195639,"corporation":false,"usgs":false,"family":"Sherwood","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":707751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Debinski, D.M.","contributorId":195640,"corporation":false,"usgs":false,"family":"Debinski","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":707752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caragea, P.C.","contributorId":195641,"corporation":false,"usgs":false,"family":"Caragea","given":"P.C.","affiliations":[],"preferred":false,"id":707753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":152582,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":707750,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70184393,"text":"ds1042 - 2017 - Bull trout (Salvelinus confluentus) telemetry and associated habitat data collected in a geodatabase from the upper Boise River, southwestern Idaho","interactions":[],"lastModifiedDate":"2017-12-06T09:53:43","indexId":"ds1042","displayToPublicDate":"2017-03-23T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1042","title":"Bull trout (Salvelinus confluentus) telemetry and associated habitat data collected in a geodatabase from the upper Boise River, southwestern Idaho","docAbstract":"Bull trout (Salvelinus confluentus), listed as threatened under the Endangered Species Act, are among the more thermally sensitive of coldwater species in North America. The Boise River upstream of Arrowrock Dam in southwestern Idaho (including Arrowrock Reservoir) provides habitat for one of the southernmost populations of bull trout. The presence of the species in Arrowrock Reservoir poses implications for dam and reservoir operations. From 2011 to 2014, the Bureau of Reclamation and the U.S. Geological Survey collected fish telemetry data to improve understanding of bull trout distribution and movement in Arrowrock Reservoir and in the upper Boise River tributaries. The U.S. Geological Survey compiled the telemetry (fish location) data, along with reservoir elevation, river discharge, precipitation, and water-quality data in a geodatabase. The geodatabase includes metadata compliant with Federal Geographic Data Committee content standards. The Bureau of Reclamation plans to incorporate the data in a decision‑support tool for reservoir management.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1042","collaboration":"Prepared in cooperation with Bureau of Reclamation","usgsCitation":"MacCoy, D.E., Shephard, Z.M., Benjamin, J.R., Vidergar, D.T., and Prisciandaro, A.F., 2017, Bull trout (Salvelinus confluentus) telemetry and associated habitat data collected in a geodatabase from the upper Boise River, southwestern Idaho: U.S. Geological Survey Data Series 1042, 14 p., https://doi.org/10.3133/ds1042.","productDescription":"Report: v, 14 p.; Data release","onlineOnly":"Y","ipdsId":"IP-074981","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":338145,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1042/ds1042.pdf","text":"Report","size":"1.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1042"},{"id":338143,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7MG7MQJ","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Geodatabase Containing Bull Trout (Salvelinus confluentus) Information from the Upper Boise River, Southwestern Idaho"},{"id":338144,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1042/coverthb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Upper Boise River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.133333,\n 43.222222\n ],\n [\n -114.7,\n 43.222222\n ],\n [\n -114.7,\n 44.083333\n ],\n [\n -116.133333,\n 44.083333\n ],\n [\n -116.133333,\n 43.222222\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Road
Boise, Idaho 83702
http://id.water.usgs.gov
A common statistical procedure for estimating streamflow statistics at ungaged locations is to develop a relational model between streamflow and drainage basin characteristics at gaged locations using least squares regression analysis; however, least squares regression methods are parametric and make constraining assumptions about the data distribution. The random forest regression method provides an alternative nonparametric method for estimating streamflow characteristics at ungaged sites and requires that the data meet fewer statistical conditions than least squares regression methods.
Random forest regression analysis was used to develop predictive models for 89 streamflow characteristics using Precipitation-Runoff Modeling System simulated streamflow data and drainage basin characteristics at 179 sites in central and eastern Montana. The predictive models were developed from streamflow data simulated for current (baseline, water years 1982–99) conditions and three future periods (water years 2021–38, 2046–63, and 2071–88) under three different climate-change scenarios. These predictive models were then used to predict streamflow characteristics for baseline conditions and three future periods at 1,707 fish sampling sites in central and eastern Montana. The average root mean square error for all predictive models was about 50 percent. When streamflow predictions at 23 fish sampling sites were compared to nearby locations with simulated data, the mean relative percent difference was about 43 percent. When predictions were compared to streamflow data recorded at 21 U.S. Geological Survey streamflow-gaging stations outside of the calibration basins, the average mean absolute percent error was about 73 percent.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175002","collaboration":"Prepared in cooperation with the Plains and Prairie Potholes Landscape Conservation Cooperative and the Bureau of Land Management","usgsCitation":"Sando, Roy, and Chase, K.J., 2017, Estimating current and future streamflow characteristics at ungaged sites, central and eastern Montana, with application to evaluating effects of climate change on fish populations: U.S. Geological Survey Scientific Investigations Report 2017–5002, 23 p., https://doi.org/10.3133/sir20175002.","productDescription":"Report: vi, 26 p.; Appendixes 1-1 to 1-18","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-069581","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":338115,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5002/sir20175002.pdf","text":"Report","size":"14.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5002"},{"id":338114,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5002/coverthb.jpg"},{"id":338116,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2017/5002/sir20175002_appendixtables.xlsx","text":"Appendix Tables 1–1 to 1–18","size":"11.9 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2017–5002 Appendix Tables 1–1 to 1–18"}],"country":"United States","state":"Montana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.291015625,\n 43.99281450048989\n ],\n [\n -102.23876953125,\n 43.99281450048989\n ],\n [\n -102.23876953125,\n 49.59647007089266\n ],\n [\n -113.291015625,\n 49.59647007089266\n ],\n [\n -113.291015625,\n 43.99281450048989\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Ave
Helena, MT 59601
Bathymetric, topographic, and grain-size data were collected in May 2009 along a 33-mi reach of the Colorado River in Grand Canyon National Park, Arizona. The study reach is located from river miles 29 to 62 at the confluence of the Colorado and Little Colorado Rivers. Channel bathymetry was mapped using multibeam and singlebeam echosounders, subaerial topography was mapped using ground-based total-stations, and bed-sediment grain-size data were collected using an underwater digital microscope system. These data were combined to produce digital elevation models, spatially variable estimates of digital elevation model uncertainty, georeferenced grain-size data, and bed-sediment distribution maps. This project is a component of a larger effort to monitor the status and trends of sand storage along the Colorado River in Grand Canyon National Park. This report documents the survey methods and post-processing procedures, digital elevation model production and uncertainty assessment, and procedures for bed-sediment classification, and presents the datasets resulting from this study.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171030","collaboration":"Prepared in cooperation with Northern Arizona University","usgsCitation":"Kaplinski, M., Hazel, J.E., Jr., Grams, P.E., Kohl, Keith, Buscombe, D.D., and Tusso, R.B., 2017, Channel mapping river miles 29–62 of the Colorado River in Grand Canyon National Park, Arizona, May 2009: U.S. Geological Survey Open-File Report 2017–1030, 35 p., https://doi.org/10.3133/ofr20171030.","productDescription":"vi, 35 p.","onlineOnly":"Y","ipdsId":"IP-079813","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":438410,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7930RCG","text":"USGS data release","linkHelpText":"Channel Mapping of the Colorado River in Grand Canyon National Park, Arizona - May 2009, river miles 29 to 62Data"},{"id":338081,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1030/coverthb.jpg"},{"id":338082,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1030/ofr20171030.pdf","text":"Report","size":"2.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1030"},{"id":350633,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7930RCG","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Channel Mapping of the Colorado River in Grand Canyon National Park, Arizona, May 2009, river miles 29 to 62—Data"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.7,\n 36.541667\n ],\n [\n -112,\n 36.541667\n ],\n [\n -112,\n 36.125\n ],\n [\n -111.7,\n 36.125\n ],\n [\n -111.7,\n 36.541667\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"GCMRC Staff, Southwest Biological Science Center
U.S. Geological Survey
Grand Canyon Monitoring and Research Center
2255 N. Gemini Drive
Flagstaff, Arizona 86001
https://www.gcmrc.gov/
The U.S. Geological Survey (USGS), in cooperation with the Colorado River Basin Salinity Control Forum, studied trends in dissolved-solids loads at selected sites in and near the Uinta Basin, Utah. The Uinta Basin study area includes the Duchesne River Basin and the Middle Green River Basin in Utah from below Flaming Gorge Reservoir to the town of Green River.
Annual dissolved-solids loads for water years (WY) 1989 through 2013 were estimated for 16 gaging stations in the study area using streamflow and water-quality data from the USGS National Water Information System database. Eight gaging stations that monitored catchments with limited or no agricultural land use (natural subbasins) were used to assess loads from natural sources. Four gaging stations that monitored catchments with agricultural land in the Duchesne River Basin were used to assess loads from agricultural sources. Four other gaging stations were included in the dissolved-solids load and trend analysis to help assess the effects of agricultural areas that drain to the Green River in the Uinta Basin, but outside of the Duchesne River Basin.
Estimated mean annual dissolved-solids loads for WY 1989–2013 ranged from 1,520 tons at Lake Fork River above Moon Lake, near Mountain Home, Utah (UT), to 1,760,000 tons at Green River near Green River, UT. The flow-normalized loads at gaging stations upstream of agricultural activities showed no trend or a relatively small change. The largest net change in modeled flow-normalized load was -352,000 tons (a 17.8-percent decrease) at Green River near Green River, UT.
Annual streamflow and modeled dissolved-solids loads at the gaging stations were balanced between upstream and downstream sites to determine how much water and dissolved solids were transported to the Duchesne River and a section of the Green River, and how much was picked up in each drainage area. Mass-balance calculations of WY 1989–2013 mean annual dissolved-solids loads at the studied sites show that Green River near Jensen, UT, accounts for 64 percent of the load in the river at Green River, UT, while the Duchesne River and White River contribute 10 and 13 percent, respectively.
Annual streamflow and modeled dissolved-solids loads at the gaging stations were balanced between upstream and downstream sites to determine how much water and dissolved solids were transported to the Duchesne River and a section of the Green River, and how much was picked up in each drainage area. Mass-balance calculations of WY 1989–2013 mean annual dissolved-solids loads at the studied sites show that Green River near Jensen, UT, accounts for 64 percent of the load in the river at Green River, UT, while the Duchesne River and White River contribute 10 and 13 percent, respectively.
The flow-normalized dissolved-solids loads estimated at Duchesne River near Randlett, UT, and White River near Watson, UT, decreased by 68,000 and 55,300 tons, or 27.8 and 20.8 percent respectively, when comparing 1989 to 2013. The drainage basins for both rivers have undergone salinity-control projects since the early 1980s to reduce the dissolved-solids load entering the Colorado River. Approximately 19 percent of the net change in flow-normalized load at Green River at Green River, UT, is from changes in load modeled at Duchesne River near Randlett, UT, and 16 percent from changes in load modeled at White River near Watson, UT. The net change in flow-normalized load estimated at Green River near Greendale, UT, for WY 1989–2013 accounts for about 45 percent of the net change estimated at Green River at Green River, UT.
Mass-balance calculations of WY 1989–2013 mean annual dissolved-solids loads at the studied sites in the Duchesne River Basin show that 75,400 tons or 44 percent of the load at the Duchesne River near Randlett, UT, gaging station was not accounted for at any of the upstream gages. Most of this unmonitored load is derived from tributary inflow, groundwater discharge, unconsumed irrigation water, and irrigation tail water.
A mass balance of WY 1989–2013 flow-normalized loads estimated at sites in the Duchesne River Basin indicates that the flow-normalized load of unmonitored inflow to the Duchesne River between the Myton and Randlett gaging stations decreased by 38 percent. The total net decrease in flow-normalized load calculated for unmonitored inflow in the drainage basin accounts for 94 percent of the decrease in WY 1989–2013 flow-normalized load modeled at the Duchesne River near Randlett, UT, gaging station. Irrigation improvements in the drainage basin have likely contributed to the decrease in flow-normalized load.
Reductions in dissolved-solids load estimated by the Natural Resources Conservation Service (NRCS) and the Bureau of Reclamation (Reclamation) from on- and off-farm improvements in the Uinta Basin totaled about 135,000 tons in 2013 (81,900 tons from on-farm improvements and 53,300 tons from off-farm improvements). The reduction in dissolved-solids load resulting from on- and off-farm improvements facilitated by the NRCS and Reclamation in the Price River Basin from 1989 to 2013 was estimated to be 64,800 tons.
The amount of sprinkler-irrigated land mapped in the drainage area or subbasin area for a gaging station was used to estimate the reduction in load resulting from the conversion from flood to sprinkler irrigation. Sprinkler-irrigated land mapped in the Uinta Basin totaled 109,630 acres in 2012. Assuming conversion to wheel-line sprinklers, a reduction in dissolved-solids load in the Uinta Basin of 95,800 tons in 2012 was calculated using the sprinkler-irrigation acreage and a pre-salinity-control project dissolved-solids yield of 1.04 tons per acre.
A reduction of 72,800 tons in dissolved-solids load from irrigation improvements was determined from sprinkler-irrigated lands in the Ashley Valley and Jensen, Pelican Lake, and Pleasant Valley areas (mapped in 2012); and in the Price River Basin (mapped in 2011). This decrease in dissolved-solids load is 8,800 tons more than the decrease in unmonitored flow-normalized dissolved-solids load (-64,000 tons) determined for the Green River between the Jensen and Green River gaging stations.
The net WY 1989–2013 change in flow-normalized dissolved-solids load at the Duchesne River near Randlett, UT, and the Green River between the Jensen and Green River, UT, gaging stations determined from mass-balance calculations was compared to reported reductions in dissolved-solids load from on- and off-farm improvements and estimated reductions in load determined from mapped sprinkler-irrigated areas in the Duchesne River Basin and the area draining to the Green River between the Jensen and Green River gaging stations. The combined NRCS and Reclamation estimates of reduction in dissolved-solids load from on- and off-farm improvements in the study area (200,000 tons) is more than the reduction in load estimated using the acreage with sprinkler improvements (136,000 tons) or the mass-balance of flow-normalized load (132,000 tons).
Director, Utah Water Science Center
U.S. Geological Survey
2329 West Orton Circle
Salt Lake City, UT 84119-2047
(801) 908-5000
http://ut.water.usgs.gov/
The Upper Mississippi River System (UMRS), the navigable part of the Upper Mississippi and Illinois Rivers, is a diverse ecosystem that contains river channels, tributaries, shallow-water wetlands, backwater lakes, and flood-plain forests. Approximately 10,000 years of geologic and hydrographic history exist within the UMRS. Because it maintains crucial wildlife and fish habitats, the dynamic ecosystems of the Upper Mississippi River Basin and its tributaries are contingent on the adjacent flood plains and water-level fluctuations of the Mississippi River. Separate data for flood-plain elevation (lidar) and riverbed elevation (bathymetry) were collected on the UMRS by the U.S. Army Corps of Engineers’ (USACE) Upper Mississippi River Restoration (UMRR) Program. Using the two elevation datasets, the U.S. Geological Survey (USGS) Upper Midwest Environmental Sciences Center (UMESC) developed a systemic topobathy dataset.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163097","collaboration":"Prepared in cooperation with Upper Mississippi River Restoration","usgsCitation":"Stone, J.M., Hanson, J.L., and Sattler, S.R., 2017, The Upper Mississippi River System—Topobathy: U.S. Geological Survey Fact Sheet 2016–3097, 4 p., https://doi.org/10.3133/fs20163097.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-077869","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":338162,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3097/coverthb.jpg"},{"id":338163,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3097/fs20163097.pdf","text":"Fact Sheet","size":"3.66 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016–3097"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisconsin","otherGeospatial":"Upper Mississippi River System","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.36279296875,\n 46.22545288226939\n ],\n [\n -89.6044921875,\n 46.30140615437332\n ],\n [\n -90.15380859375,\n 46.30140615437332\n ],\n [\n -91.0546875,\n 46.40756396630067\n ],\n [\n -91.49414062499999,\n 46.46813299215554\n ],\n [\n -91.99951171875,\n 46.51351558059737\n ],\n [\n -92.59277343749999,\n 46.45299704748289\n ],\n [\n -92.59277343749999,\n 46.66451741754235\n ],\n [\n -92.92236328125,\n 46.86019101567027\n ],\n [\n -93.09814453125,\n 46.93526088057719\n ],\n [\n -93.1640625,\n 47.18971246448421\n ],\n [\n -92.94433593749999,\n 47.53203824675999\n ],\n [\n -92.92236328125,\n 47.66538735632654\n ],\n [\n -93.09814453125,\n 47.70976154266637\n ],\n [\n -93.66943359374999,\n 47.69497434186282\n ],\n [\n -93.93310546875,\n 47.65058757118734\n ],\n [\n -94.28466796874999,\n 47.76886840424207\n ],\n [\n -94.63623046875,\n 47.724544549099676\n ],\n [\n -94.94384765625,\n 47.5913464767971\n ],\n [\n -95.09765625,\n 47.41322033016902\n ],\n [\n -95.07568359375,\n 47.17477833929903\n ],\n [\n -95.2294921875,\n 46.92025531537451\n ],\n [\n -95.2294921875,\n 46.73986059969267\n ],\n [\n -95.537109375,\n 46.58906908309182\n ],\n [\n -95.77880859375,\n 46.483264729155586\n ],\n [\n -95.888671875,\n 46.36209301204985\n ],\n [\n -95.82275390625,\n 46.118941506107056\n ],\n [\n -95.77880859375,\n 45.73685954736049\n ],\n [\n -95.9326171875,\n 45.583289756006316\n ],\n [\n -96.35009765625,\n 45.644768217751924\n ],\n [\n -96.87744140625,\n 45.66012730272194\n ],\n [\n -97.09716796875,\n 45.89000815866184\n ],\n [\n -97.36083984375,\n 46.14939437647686\n ],\n [\n -97.6904296875,\n 46.164614496897094\n ],\n [\n -97.58056640625,\n 45.920587344733654\n ],\n [\n -97.27294921875,\n 45.644768217751924\n ],\n [\n -96.83349609375,\n 45.13555516012536\n ],\n [\n -96.70166015624999,\n 44.88701247981298\n ],\n [\n -96.45996093749999,\n 44.5278427984555\n ],\n [\n -96.30615234375,\n 44.29240108529005\n ],\n [\n -95.77880859375,\n 44.040218713142146\n ],\n [\n -95.712890625,\n 43.75522505306928\n ],\n [\n -95.16357421875,\n 43.691707903073805\n ],\n [\n -94.89990234375,\n 43.6599240747891\n ],\n [\n -94.833984375,\n 43.5326204268101\n ],\n [\n -94.89990234375,\n 43.32517767999296\n ],\n [\n -95.0537109375,\n 43.004647127794435\n ],\n [\n -95.11962890625,\n 42.73087427928485\n ],\n [\n -94.98779296875,\n 42.342305278572816\n ],\n [\n -94.7021484375,\n 41.88592102814744\n ],\n [\n -94.72412109375,\n 41.672911819602085\n ],\n [\n -94.37255859375,\n 41.541477666790286\n ],\n [\n -93.9990234375,\n 41.36031866306708\n ],\n [\n -93.8232421875,\n 41.21172151054787\n ],\n [\n -93.62548828125,\n 41.07935114946899\n ],\n [\n -93.22998046875,\n 41.07935114946899\n ],\n [\n -92.87841796875,\n 41.04621681452063\n ],\n [\n -92.63671875,\n 40.97989806962013\n ],\n [\n -92.548828125,\n 40.730608477796636\n ],\n [\n -92.52685546875,\n 40.44694705960048\n ],\n [\n -92.43896484375,\n 40.1452892956766\n ],\n [\n -92.43896484375,\n 39.90973623453719\n ],\n [\n -92.35107421874999,\n 39.53793974517628\n ],\n [\n -92.26318359375,\n 39.14710270770074\n ],\n [\n -92.04345703125,\n 39.04478604850143\n ],\n [\n -91.7578125,\n 38.993572058209466\n ],\n [\n -91.7138671875,\n 38.89103282648846\n ],\n [\n -91.4501953125,\n 38.75408327579141\n ],\n [\n -91.14257812499999,\n 38.58252615935333\n ],\n [\n -90.703125,\n 38.54816542304656\n ],\n [\n -90.439453125,\n 38.58252615935333\n ],\n [\n -90.2197265625,\n 38.59970036588819\n ],\n [\n -90.54931640625,\n 38.39333888832238\n ],\n [\n -90.98876953125,\n 38.28993659801203\n ],\n [\n -91.14257812499999,\n 38.20365531807149\n ],\n [\n -91.318359375,\n 38.11727165830543\n ],\n [\n -91.82373046875,\n 38.08268954483802\n ],\n [\n -91.86767578124999,\n 37.89219554724437\n ],\n [\n -91.8017578125,\n 37.63163475580643\n ],\n [\n -91.669921875,\n 37.31775185163688\n ],\n [\n -91.47216796875,\n 37.16031654673677\n ],\n [\n -90.90087890624999,\n 37.28279464911045\n ],\n [\n -90.17578124999999,\n 37.45741810262938\n ],\n [\n -90.06591796875,\n 37.37015718405753\n ],\n [\n -90.10986328125,\n 37.19533058280065\n ],\n [\n -90.24169921875,\n 36.98500309285596\n ],\n [\n -90.32958984375,\n 36.80928470205937\n ],\n [\n -89.912109375,\n 36.73888412439431\n ],\n [\n -89.71435546875,\n 36.79169061907076\n ],\n [\n -89.53857421875,\n 36.87962060502676\n ],\n [\n -89.31884765624999,\n 36.914764288955936\n ],\n [\n -89.14306640625,\n 36.84446074079564\n ],\n [\n -88.92333984375,\n 36.98500309285596\n ],\n [\n -88.74755859375,\n 37.142803443716836\n ],\n [\n -88.681640625,\n 37.33522435930639\n ],\n [\n -88.8134765625,\n 37.49229399862877\n ],\n [\n -88.6376953125,\n 37.68382032669382\n ],\n [\n -88.39599609375,\n 37.84015683604136\n ],\n [\n -88.30810546875,\n 38.09998264736481\n ],\n [\n -88.30810546875,\n 38.35888785866677\n ],\n [\n -88.39599609375,\n 38.53097889440024\n ],\n [\n -88.39599609375,\n 38.71980474264237\n ],\n [\n -88.30810546875,\n 38.839707613545144\n ],\n [\n -88.17626953125,\n 39.027718840211605\n ],\n [\n -88.17626953125,\n 39.16414104768742\n ],\n [\n -88.08837890625,\n 39.436192999314095\n ],\n [\n -87.978515625,\n 39.690280594818034\n ],\n [\n -87.91259765625,\n 39.80853604144591\n ],\n [\n -87.91259765625,\n 40.094882122321145\n ],\n [\n -87.91259765625,\n 40.39676430557203\n ],\n [\n -88.00048828124999,\n 40.56389453066509\n ],\n [\n -88.06640625,\n 40.74725696280421\n ],\n [\n -87.890625,\n 40.84706035607122\n ],\n [\n -87.73681640625,\n 40.54720023441049\n ],\n [\n -87.51708984375,\n 40.51379915504413\n ],\n [\n -87.25341796875,\n 40.49709237269567\n ],\n [\n -87.16552734375,\n 40.49709237269567\n ],\n [\n -86.8798828125,\n 40.66397287638688\n ],\n [\n -86.72607421875,\n 40.78054143186033\n ],\n [\n -86.7041015625,\n 40.863679665481676\n ],\n [\n -86.50634765625,\n 41.02964338716638\n ],\n [\n -86.17675781249999,\n 41.178653972331674\n ],\n [\n -85.80322265625,\n 41.244772343082076\n ],\n [\n -85.53955078125,\n 41.31082388091818\n ],\n [\n -85.58349609375,\n 41.57436130598913\n ],\n [\n -85.89111328125,\n 41.72213058512578\n ],\n [\n -86.15478515625,\n 41.705728515237524\n ],\n [\n -86.4404296875,\n 41.64007838467894\n ],\n [\n -86.748046875,\n 41.590796851056005\n ],\n [\n -87.099609375,\n 41.44272637767212\n ],\n [\n -87.2314453125,\n 41.42625319507269\n ],\n [\n -87.42919921875,\n 41.5579215778042\n ],\n [\n -87.51708984375,\n 41.77131167976407\n ],\n [\n -87.7587890625,\n 42.049292638686836\n ],\n [\n -88.00048828124999,\n 42.47209690919285\n ],\n [\n -88.08837890625,\n 42.633958722673135\n ],\n [\n -88.154296875,\n 42.779275360241904\n ],\n [\n -88.17626953125,\n 43.16512263158296\n ],\n [\n -88.24218749999999,\n 43.26120612479979\n ],\n [\n -88.48388671874999,\n 43.739352079154706\n ],\n [\n -88.505859375,\n 43.88205730390537\n ],\n [\n -88.5498046875,\n 43.99281450048989\n ],\n [\n -88.74755859375,\n 44.02442151965934\n ],\n [\n -88.87939453125,\n 44.008620115415354\n ],\n [\n -89.18701171875,\n 43.78695837311561\n ],\n [\n -89.62646484375,\n 43.67581809328341\n ],\n [\n -89.71435546875,\n 43.8503744993026\n ],\n [\n -89.56054687499999,\n 44.10336537791152\n ],\n [\n -89.45068359374999,\n 44.24519901522129\n ],\n [\n -89.384765625,\n 44.35527821160296\n ],\n [\n -89.384765625,\n 44.62175409623324\n ],\n [\n -89.36279296875,\n 44.69989765840318\n ],\n [\n -89.2529296875,\n 45.058001435398275\n ],\n [\n -89.05517578125,\n 45.336701909968134\n ],\n [\n -89.2529296875,\n 45.521743896993634\n ],\n [\n -89.2529296875,\n 45.61403741135093\n ],\n [\n -89.20898437499999,\n 45.75219336063106\n ],\n [\n -89.36279296875,\n 46.027481852486645\n ],\n [\n -89.36279296875,\n 46.164614496897094\n ],\n [\n -89.36279296875,\n 46.22545288226939\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Upper Midwest Environmental Sciences Center
U.S. Geological Survey
2630 Fanta Reed Road
La Crosse, Wisconsin 54603