Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Missouri, elevation data are critical for agriculture and precision farming; natural resources conservation; flood risk management; homeland security, law enforcement, and disaster response; infrastructure and construction management; water supply and quality; and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.
\nThe National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 ifsar data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey (USGS), the Office of Management and Budget Circular A–16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation’s natural and constructed features.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143020","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: summary for Missouri: U.S. Geological Survey Fact Sheet 2014-3020, 2 p., https://doi.org/10.3133/fs20143020.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-052811","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":285260,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143020.jpg"},{"id":285259,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3020/pdf/fs2014-3020.pdf","text":"Report","size":"336 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":285243,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3020/"}],"country":"United States","state":"Missouri","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-89.545006,36.336809],[-89.605668,36.342234],[-89.615841,36.336085],[-89.620255,36.323006],[-89.611819,36.309088],[-89.578492,36.288317],[-89.554289,36.277751],[-89.539487,36.277368],[-89.534507,36.261802],[-89.539229,36.248821],[-89.562206,36.250909],[-89.577544,36.242262],[-89.602374,36.238106],[-89.642182,36.249486],[-89.678046,36.248284],[-89.695235,36.252766],[-89.705328,36.239898],[-89.69263,36.224959],[-89.607004,36.171179],[-89.591605,36.144096],[-89.59307,36.129699],[-89.601936,36.11947],[-89.666598,36.095802],[-89.678821,36.084636],[-89.688577,36.029238],[-89.706932,36.000981],[-90.37789,35.995683],[-90.351732,36.025347],[-90.34909,36.040131],[-90.339343,36.047112],[-90.333261,36.067504],[-90.320746,36.071326],[-90.320662,36.087138],[-90.29991,36.098236],[-90.294492,36.112949],[-90.266256,36.120559],[-90.235585,36.139474],[-90.231386,36.147348],[-90.23537,36.159153],[-90.220425,36.184764],[-90.21128,36.183392],[-90.188189,36.20536],[-90.152497,36.215582],[-90.14224,36.227522],[-90.126366,36.229367],[-90.130114,36.240307],[-90.118219,36.253491],[-90.114922,36.265595],[-90.086471,36.271531],[-90.06398,36.303038],[-90.081961,36.322097],[-90.074074,36.342895],[-90.077695,36.348478],[-90.066297,36.3593],[-90.064514,36.382085],[-90.078671,36.399116],[-90.138512,36.413952],[-90.134231,36.422827],[-90.143743,36.424433],[-90.143798,36.428483],[-90.134136,36.436602],[-90.137323,36.455411],[-90.141101,36.461791],[-90.155804,36.463555],[-90.152888,36.47093],[-90.142222,36.470554],[-90.143683,36.476029],[-90.158838,36.479558],[-90.159305,36.492446],[-90.152481,36.497952],[-94.617919,36.499414],[-94.617975,37.722176],[-94.607354,39.113444],[-94.589933,39.140403],[-94.591933,39.155003],[-94.608834,39.160503],[-94.640035,39.153103],[-94.662435,39.157603],[-94.663835,39.179103],[-94.680336,39.184303],[-94.714137,39.170403],[-94.741938,39.170203],[-94.763138,39.179903],[-94.781518,39.206146],[-94.811663,39.206594],[-94.831679,39.215938],[-94.835056,39.220658],[-94.825663,39.241729],[-94.831471,39.256273],[-94.84632,39.268481],[-94.887056,39.28648],[-94.905329,39.311952],[-94.910017,39.352543],[-94.88136,39.370383],[-94.879281,39.37978],[-94.885026,39.389801],[-94.901823,39.392798],[-94.92311,39.384492],[-94.942039,39.389499],[-94.946293,39.405646],[-94.972952,39.421705],[-94.982144,39.440552],[-95.0375,39.463689],[-95.045716,39.472459],[-95.052177,39.499996],[-95.082714,39.516712],[-95.109304,39.542285],[-95.113077,39.559133],[-95.103228,39.577783],[-95.089515,39.581028],[-95.064519,39.577115],[-95.049277,39.589583],[-95.046361,39.599557],[-95.055152,39.621657],[-95.053367,39.630347],[-95.027644,39.665454],[-95.018318,39.672869],[-94.984149,39.67785],[-94.971317,39.68641],[-94.971206,39.729305],[-94.965318,39.739065],[-94.948726,39.745593],[-94.902612,39.724202],[-94.875643,39.730494],[-94.862943,39.742994],[-94.860743,39.763094],[-94.869644,39.772894],[-94.912293,39.759338],[-94.934262,39.773642],[-94.935206,39.78313],[-94.929654,39.788282],[-94.884084,39.794234],[-94.875944,39.813294],[-94.878677,39.826522],[-94.886933,39.833098],[-94.916918,39.836138],[-94.942567,39.856602],[-94.928466,39.876344],[-94.929574,39.888754],[-94.95154,39.900533],[-94.986975,39.89667],[-95.00844,39.900596],[-95.024389,39.891202],[-95.027931,39.871522],[-95.037767,39.865542],[-95.085003,39.861883],[-95.128166,39.874165],[-95.140601,39.881688],[-95.143802,39.901918],[-95.149657,39.905948],[-95.179453,39.900062],[-95.199347,39.902709],[-95.206326,39.912121],[-95.20069,39.928155],[-95.204428,39.938949],[-95.250254,39.948644],[-95.269886,39.969396],[-95.302507,39.984357],[-95.315271,40.01207],[-95.356876,40.031522],[-95.387195,40.02677],[-95.40726,40.033112],[-95.416824,40.043235],[-95.42164,40.058952],[-95.409856,40.07432],[-95.407591,40.09803],[-95.394216,40.108263],[-95.39284,40.115887],[-95.398667,40.126419],[-95.428749,40.135577],[-95.436348,40.15872],[-95.460746,40.169173],[-95.479193,40.185652],[-95.482757,40.197346],[-95.469718,40.227908],[-95.477501,40.24272],[-95.490333,40.248966],[-95.521925,40.24947],[-95.552473,40.261904],[-95.556325,40.267714],[-95.550966,40.285947],[-95.562157,40.297359],[-95.581787,40.29958],[-95.610439,40.31397],[-95.642262,40.306025],[-95.657328,40.310856],[-95.653729,40.322582],[-95.625204,40.334288],[-95.623728,40.346567],[-95.641027,40.366399],[-95.643934,40.386849],[-95.659134,40.40869],[-95.65819,40.44188],[-95.693133,40.469396],[-95.699969,40.505275],[-95.661687,40.517309],[-95.652262,40.538114],[-95.655848,40.546609],[-95.671754,40.562626],[-95.678718,40.56256],[-95.694147,40.556942],[-95.69505,40.533124],[-95.708591,40.521551],[-95.722444,40.528118],[-95.75711,40.52599],[-95.769281,40.536656],[-95.763366,40.550797],[-95.773549,40.578205],[-95.765645,40.585208],[-94.632035,40.571186],[-94.080463,40.572899],[-92.689854,40.589884],[-91.729115,40.61364],[-91.716769,40.59853],[-91.686357,40.580875],[-91.690804,40.559893],[-91.681714,40.553035],[-91.6219,40.542292],[-91.618028,40.53403],[-91.621353,40.510072],[-91.590817,40.492292],[-91.574746,40.465664],[-91.52509,40.457845],[-91.524053,40.448437],[-91.533623,40.43832],[-91.519935,40.433673],[-91.526555,40.419872],[-91.522333,40.409648],[-91.498093,40.401926],[-91.489816,40.404317],[-91.484507,40.3839],[-91.465116,40.385257],[-91.465009,40.376223],[-91.452458,40.375501],[-91.441243,40.386255],[-91.419422,40.378264],[-91.444833,40.36317],[-91.46214,40.342414],[-91.492727,40.278217],[-91.490524,40.259498],[-91.505828,40.238839],[-91.505495,40.195606],[-91.512974,40.181062],[-91.508224,40.157665],[-91.510322,40.127994],[-91.489606,40.057435],[-91.494878,40.036453],[-91.465315,39.983995],[-91.41936,39.927717],[-91.41988,39.916533],[-91.443513,39.893583],[-91.446922,39.883034],[-91.436051,39.84551],[-91.377971,39.811273],[-91.361571,39.787548],[-91.370009,39.732524],[-91.3453,39.709402],[-91.27614,39.665759],[-91.229317,39.620853],[-91.181936,39.602677],[-91.174651,39.593313],[-91.168419,39.564928],[-91.153628,39.548248],[-91.100307,39.538695],[-91.079769,39.507728],[-91.064305,39.494643],[-91.059439,39.46886],[-91.03827,39.448436],[-90.993789,39.422959],[-90.940766,39.403984],[-90.928745,39.387544],[-90.904862,39.379403],[-90.893777,39.367343],[-90.8475,39.345272],[-90.816851,39.320496],[-90.793461,39.309498],[-90.751599,39.265432],[-90.72996,39.255894],[-90.717113,39.213912],[-90.707902,39.15086],[-90.686051,39.117785],[-90.681086,39.10059],[-90.681994,39.090066],[-90.712541,39.057064],[-90.71158,39.046798],[-90.678193,38.991851],[-90.675949,38.96214],[-90.657254,38.92027],[-90.639917,38.908272],[-90.625122,38.888654],[-90.583388,38.86903],[-90.555693,38.870785],[-90.500117,38.910408],[-90.486974,38.925982],[-90.482419,38.94446],[-90.472122,38.958838],[-90.440078,38.967364],[-90.395816,38.960037],[-90.309454,38.92412],[-90.250248,38.919344],[-90.109407,38.843548],[-90.123107,38.798048],[-90.166409,38.772649],[-90.176309,38.754449],[-90.20991,38.72605],[-90.20921,38.70275],[-90.18641,38.67475],[-90.181325,38.660381],[-90.17801,38.63375],[-90.18451,38.611551],[-90.196011,38.594451],[-90.222112,38.576451],[-90.260314,38.528352],[-90.285215,38.443453],[-90.295316,38.426753],[-90.349743,38.377609],[-90.368219,38.340254],[-90.373929,38.281853],[-90.353902,38.213855],[-90.331554,38.18758],[-90.290765,38.170453],[-90.274928,38.157615],[-90.243116,38.112669],[-90.218708,38.094365],[-90.17222,38.069636],[-90.158533,38.074735],[-90.130788,38.062341],[-90.126612,38.043981],[-90.11052,38.026547],[-90.08826,38.015772],[-90.059367,38.015543],[-90.051357,38.003584],[-90.03241,37.995258],[-90.00011,37.964563],[-89.978919,37.962791],[-89.942099,37.970121],[-89.933797,37.959143],[-89.925085,37.960021],[-89.932467,37.947497],[-89.959646,37.940196],[-89.974918,37.926719],[-89.952499,37.883218],[-89.923185,37.870672],[-89.901832,37.869822],[-89.844786,37.905572],[-89.799333,37.881517],[-89.796087,37.859505],[-89.786369,37.851734],[-89.782035,37.855092],[-89.739873,37.84693],[-89.71748,37.825724],[-89.669644,37.799922],[-89.660227,37.781032],[-89.667993,37.759484],[-89.665546,37.752095],[-89.64953,37.745498],[-89.617278,37.74972],[-89.612478,37.740036],[-89.596566,37.732886],[-89.583316,37.713261],[-89.516685,37.692762],[-89.51204,37.680985],[-89.517718,37.641217],[-89.478399,37.598869],[-89.47603,37.590226],[-89.486062,37.580853],[-89.519808,37.582748],[-89.521925,37.560735],[-89.517051,37.537278],[-89.475525,37.471388],[-89.439769,37.4372],[-89.421054,37.387668],[-89.432836,37.347056],[-89.489005,37.333368],[-89.511842,37.310825],[-89.51834,37.285497],[-89.489915,37.251315],[-89.470525,37.253357],[-89.458827,37.248661],[-89.467631,37.2182],[-89.456105,37.18812],[-89.42558,37.138235],[-89.37871,37.094586],[-89.375712,37.080505],[-89.384681,37.048251],[-89.362397,37.030156],[-89.322982,37.01609],[-89.29213,36.992189],[-89.278628,36.98867],[-89.263527,37.00005],[-89.257608,37.015496],[-89.260003,37.023288],[-89.304752,37.047565],[-89.310819,37.057897],[-89.30829,37.068371],[-89.259936,37.064071],[-89.25493,37.072014],[-89.234053,37.037277],[-89.200793,37.016164],[-89.192097,36.979995],[-89.185491,36.973518],[-89.170008,36.970298],[-89.125069,36.983499],[-89.109498,36.976563],[-89.099594,36.964543],[-89.100762,36.944002],[-89.117567,36.887356],[-89.131944,36.857437],[-89.137969,36.847349],[-89.1704,36.841522],[-89.178888,36.831368],[-89.179229,36.812915],[-89.171069,36.798119],[-89.155891,36.789126],[-89.12353,36.785309],[-89.116563,36.767557],[-89.126134,36.751735],[-89.166888,36.759633],[-89.184523,36.753638],[-89.197808,36.739412],[-89.19948,36.716045],[-89.169522,36.688878],[-89.169467,36.674596],[-89.15908,36.666352],[-89.197654,36.628936],[-89.202607,36.601576],[-89.217447,36.576159],[-89.236542,36.566824],[-89.258318,36.564948],[-89.278935,36.577699],[-89.326731,36.632186],[-89.365548,36.625059],[-89.375453,36.615719],[-89.382762,36.583603],[-89.41977,36.493896],[-89.448468,36.46442],[-89.464153,36.457189],[-89.486215,36.46162],[-89.494248,36.475972],[-89.465888,36.529946],[-89.467761,36.546847],[-89.479093,36.568206],[-89.500076,36.576305],[-89.542459,36.580566],[-89.566817,36.564216],[-89.571241,36.547343],[-89.560344,36.525436],[-89.519501,36.475419],[-89.523427,36.456572],[-89.543406,36.43877],[-89.545255,36.427079],[-89.509722,36.373626],[-89.519,36.3486],[-89.545006,36.336809]]]},\"properties\":{\"name\":\"Missouri\",\"nation\":\"USA \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517067e4b05569d805a3e8","contributors":{"authors":[{"text":"Carswell, William J. Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":492228,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70103042,"text":"70103042 - 2014 - Conservation and management of fisheries and aquatic communities in Great Lakes connecting channels","interactions":[],"lastModifiedDate":"2014-06-19T09:21:11","indexId":"70103042","displayToPublicDate":"2014-04-01T15:21:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Conservation and management of fisheries and aquatic communities in Great Lakes connecting channels","docAbstract":"The North American Laurentian Great Lakes are linked by a unique series of riverine and lacustrine waters known as the Great Lakes connecting channels that are as integral to the basin's ecology and economies as the lakes themselves. The St. Marys River (SMR) is the northernmost channel and flows from Lake Superior to Lake Huron. Waters from the upper Great Lakes (Lakes Superior, Michigan, and Huron) empty from Lake Huron via the St. Clair–Detroit River system (SCDRS, also known as the Huron–Erie Corridor) into Lake Erie. The SCDRS is composed of the St. Clair River, Lake St. Clair, and the Detroit River. The Niagara River (NR) serves as the outflow from Lake Erie into Lake Ontario. The NR above Niagara Falls is bisected by Grand Island and contains several other islands and man-made embayments whereas the NR below the falls is more linear. The outflow from Lake Ontario, representing the natural outlet of all the Great Lakes, is the St. Lawrence River (SLR) which empties into the Gulf of St. Lawrence in the northwest Atlantic Ocean.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2014.03.003","usgsCitation":"Roseman, E., Thompson, P., Farrell, J.M., Mandrak, N.E., and Stepien, C.A., 2014, Conservation and management of fisheries and aquatic communities in Great Lakes connecting channels: Journal of Great Lakes Research, v. 40, p. 1-6, https://doi.org/10.1016/j.jglr.2014.03.003.","productDescription":"6 p.","startPage":"1","endPage":"6","numberOfPages":"6","ipdsId":"IP-054283","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":286741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286740,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2014.03.003"}],"country":"Canada;United States","otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.11,41.4 ], [ -92.11,48.85 ], [ -76.3,48.85 ], [ -76.3,41.4 ], [ -92.11,41.4 ] ] ] } } ] }","volume":"40","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535f786ae4b078dca33ae34e","contributors":{"authors":[{"text":"Roseman, Edward F.","contributorId":100334,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[],"preferred":false,"id":493125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Patricia A. pathompson@usgs.gov","contributorId":5249,"corporation":false,"usgs":true,"family":"Thompson","given":"Patricia A.","email":"pathompson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":493121,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farrell, John M.","contributorId":12368,"corporation":false,"usgs":true,"family":"Farrell","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":493122,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mandrak, Nicholas E.","contributorId":65386,"corporation":false,"usgs":true,"family":"Mandrak","given":"Nicholas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":493124,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stepien, Carol A.","contributorId":52875,"corporation":false,"usgs":true,"family":"Stepien","given":"Carol","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":493123,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70127912,"text":"70127912 - 2014 - Risk of predation and weather events affect nest site selection by sympatric Pacific (Gavia pacifica) and Yellow-billed (Gavia adamsii) loons in Arctic habitats","interactions":[],"lastModifiedDate":"2014-10-02T14:59:36","indexId":"70127912","displayToPublicDate":"2014-04-01T14:48:55","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Risk of predation and weather events affect nest site selection by sympatric Pacific (Gavia pacifica) and Yellow-billed (Gavia adamsii) loons in Arctic habitats","docAbstract":"Pacific (Gavia pacifica) and Yellow-billed (G. adamsii) loons nest sympatrically in Arctic regions. These related species likely face similar constraints and requirements for nesting success; therefore, use of similar habitats and direct competition for nesting habitat is likely. Both of these loon species must select a breeding lake that provides suitable habitat for nesting and raising chicks; however, characteristics of nest site selection by either species on interior Arctic lakes remains poorly understood. Here, logistic regression was used to compare structural and habitat characteristics of all loon nest locations with random points from lakes on the interior Arctic Coastal Plain, Alaska. Results suggest that both loon species select nest sites to avoid predation and exposure to waves and shifting ice. Loon nest sites were more likely to be on islands and peninsulas (odds ratio = 16.13, 95% CI = 4.64–56.16) than mainland shoreline, which may help loons avoid terrestrial predators. Further, nest sites had a higher degree of visibility (mean degrees of visibility to 100 and 200 m) of approaching predators than random points (odds ratio = 2.57, 95% CI = 1.22–5.39). Nests were sheltered from exposure, having lower odds of being exposed to prevailing winds (odds ratio = 0.34, 95% CI = 0.13–0.92) and lower odds of having high fetch values (odds ratio = 0.46, 95% CI = 0.22–0.96). Differences between Pacific and Yellow-billed loon nesting sites were subtle, suggesting that both species have similar general nest site requirements. However, Yellow-billed Loons nested at slightly higher elevations and were more likely to nest on peninsulas than Pacific Loons. Pacific Loons constructed built up nests from mud and vegetation, potentially in response to limited access to suitable shoreline due to other territorial loons. Results suggest that land managers wishing to protect habitats for these species should focus on lakes with islands as well as shorelines sheltered from exposure to prevailing wind and ice patterns.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Waterbirds","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.037.sp104","usgsCitation":"Haynes, T.B., Schmutz, J.A., Lindberg, M., and Rosenberger, A.E., 2014, Risk of predation and weather events affect nest site selection by sympatric Pacific (Gavia pacifica) and Yellow-billed (Gavia adamsii) loons in Arctic habitats: Waterbirds, v. 37, p. 16-25, https://doi.org/10.1675/063.037.sp104.","productDescription":"10 p.","startPage":"16","endPage":"25","numberOfPages":"10","ipdsId":"IP-045098","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":294875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294845,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1675/063.037.sp104"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic Coastal Plain","volume":"37","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542e697ee4b092f17df5aa1e","contributors":{"authors":[{"text":"Haynes, Trevor B.","contributorId":100302,"corporation":false,"usgs":false,"family":"Haynes","given":"Trevor","email":"","middleInitial":"B.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":502668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":502665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindberg, Mark S.","contributorId":89466,"corporation":false,"usgs":false,"family":"Lindberg","given":"Mark S.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":502667,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502666,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70101339,"text":"70101339 - 2014 - A survey of benthic sediment contaminants in reaches of the Columbia River Estuary based on channel sedimentation characteristics","interactions":[],"lastModifiedDate":"2017-01-12T11:30:56","indexId":"70101339","displayToPublicDate":"2014-04-01T13:43:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"A survey of benthic sediment contaminants in reaches of the Columbia River Estuary based on channel sedimentation characteristics","docAbstract":"While previous studies have documented contaminants in fish, sediments, water, and wildlife, few specifics are known about the spatial distribution of contaminants in the Columbia River Estuary (CRE). Our study goal was to characterize sediment contaminant detections and concentrations in reaches of the CRE that were concurrently being sampled to assess contaminants in water, invertebrates, fish, and osprey (Pandion haliaetus) eggs. Our objectives were to develop a survey design based on sedimentation characteristics and then assess whether sediment grain size, total organic carbon (TOC), and contaminant concentrations and detections varied between areas with different sedimentation characteristics. We used a sediment transport model to predict sedimentation characteristics of three 16 km river reaches in the CRE. We then compartmentalized the modeled change in bed mass after a two week simulation to define sampling strata with depositional, stable, or erosional conditions. We collected and analyzed bottom sediments to assess whether substrate composition, organic matter composition, and contaminant concentrations and detections varied among strata within and between the reaches. We observed differences in grain size fractions between strata within and between reaches. We found that the fine sediment fraction was positively correlated with TOC. Contaminant concentrations were statistically different between depositional vs. erosional strata for the industrial compounds, personal care products and polycyclic aromatic hydrocarbons class (Indus–PCP–PAH). We also observed significant differences between strata in the number of detections of Indus–PCP–PAH (depositional vs. erosional; stable vs. erosional) and for the flame retardants, polychlorinated biphenyls, and pesticides class (depositional vs. erosional, depositional vs. stable). When we estimated mean contaminant concentrations by reach, we observed higher contaminant concentrations in the furthest downstream reach with a decreasing trend in the two upstream reaches. Contaminant survey designs that account for sedimentation characteristics could increase the probability that sampling is allocated to areas likely to be contaminated.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2014.03.013","usgsCitation":"Counihan, T.D., Waite, I.R., Nilsen, E.B., Hardiman, J.M., Elias, E., Gelfenbaum, G., and Zaugg, S.D., 2014, A survey of benthic sediment contaminants in reaches of the Columbia River Estuary based on channel sedimentation characteristics: Science of the Total Environment, v. 484, p. 331-343, https://doi.org/10.1016/j.scitotenv.2014.03.013.","productDescription":"13 p.","startPage":"331","endPage":"343","ipdsId":"IP-046003","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":473069,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.escholarship.org/uc/item/1np8s2bf","text":"External Repository"},{"id":286211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"state":"Oregon;Washington","otherGeospatial":"Columbia River Estuary","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.79,41.99 ], [ -124.79,49.0 ], [ -116.46,49.0 ], [ -116.46,41.99 ], [ -124.79,41.99 ] ] ] } } ] }","volume":"484","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53516ef9e4b05569d8059f37","chorus":{"doi":"10.1016/j.scitotenv.2014.03.013","url":"http://dx.doi.org/10.1016/j.scitotenv.2014.03.013","publisher":"Elsevier BV","authors":"Counihan Timothy D., Waite Ian R., Nilsen Elena B., Hardiman Jill M., Elias Edwin, Gelfenbaum Guy, Zaugg Steven D.","journalName":"Science of The Total Environment","publicationDate":"6/2014","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"Counihan, Timothy D. 0000-0003-4967-6514 tcounihan@usgs.gov","orcid":"https://orcid.org/0000-0003-4967-6514","contributorId":4211,"corporation":false,"usgs":true,"family":"Counihan","given":"Timothy","email":"tcounihan@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":492665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492661,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nilsen, Elena B. 0000-0002-0104-6321 enilsen@usgs.gov","orcid":"https://orcid.org/0000-0002-0104-6321","contributorId":923,"corporation":false,"usgs":true,"family":"Nilsen","given":"Elena","email":"enilsen@usgs.gov","middleInitial":"B.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492663,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hardiman, Jill M. 0000-0002-3661-9695 jhardiman@usgs.gov","orcid":"https://orcid.org/0000-0002-3661-9695","contributorId":2672,"corporation":false,"usgs":true,"family":"Hardiman","given":"Jill","email":"jhardiman@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":492664,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Elias, Edwin","contributorId":50615,"corporation":false,"usgs":true,"family":"Elias","given":"Edwin","affiliations":[],"preferred":false,"id":492666,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gelfenbaum, Guy","contributorId":79844,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","affiliations":[],"preferred":false,"id":492667,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zaugg, Steven D. sdzaugg@usgs.gov","contributorId":768,"corporation":false,"usgs":true,"family":"Zaugg","given":"Steven","email":"sdzaugg@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":492662,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70048664,"text":"70048664 - 2014 - Stream macroinvertebrate response models for bioassessment metrics: addressing the issue of spatial scale","interactions":[],"lastModifiedDate":"2018-09-27T10:51:00","indexId":"70048664","displayToPublicDate":"2014-04-01T13:36:17","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Stream macroinvertebrate response models for bioassessment metrics: addressing the issue of spatial scale","docAbstract":"We developed independent predictive disturbance models for a full regional data set and four individual ecoregions (Full Region vs. Individual Ecoregion models) to evaluate effects of spatial scale on the assessment of human landscape modification, on predicted response of stream biota, and the effect of other possible confounding factors, such as watershed size and elevation, on model performance. We selected macroinvertebrate sampling sites for model development (n = 591) and validation (n = 467) that met strict screening criteria from four proximal ecoregions in the northeastern U.S.: North Central Appalachians, Ridge and Valley, Northeastern Highlands, and Northern Piedmont. Models were developed using boosted regression tree (BRT) techniques for four macroinvertebrate metrics; results were compared among ecoregions and metrics. Comparing within a region but across the four macroinvertebrate metrics, the average richness of tolerant taxa (RichTOL) had the highest R2 for BRT models. Across the four metrics, final BRT models had between four and seven explanatory variables and always included a variable related to urbanization (e.g., population density, percent urban, or percent manmade channels), and either a measure of hydrologic runoff (e.g., minimum April, average December, or maximum monthly runoff) and(or) a natural landscape factor (e.g., riparian slope, precipitation, and elevation), or a measure of riparian disturbance. Contrary to our expectations, Full Region models explained nearly as much variance in the macroinvertebrate data as Individual Ecoregion models, and taking into account watershed size or elevation did not appear to improve model performance. As a result, it may be advantageous for bioassessment programs to develop large regional models as a preliminary assessment of overall disturbance conditions as long as the range in natural landscape variability is not excessive.","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0090944","usgsCitation":"White, I.R., Kennen, J., May, J., Brown, L.R., Cuffney, T.F., Jones, K.A., and Orlando, J., 2014, Stream macroinvertebrate response models for bioassessment metrics: addressing the issue of spatial scale: PLoS ONE, v. 9, no. 3, p. 1-21, https://doi.org/10.1371/journal.pone.0090944.","productDescription":"e90944; 21 p.","startPage":"1","endPage":"21","ipdsId":"IP-045602","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":473070,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0090944","text":"Publisher Index Page"},{"id":287148,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0090944"},{"id":287150,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"North Central Appalachians;Northeastern Highlands;Northern Piedmont;Ridge And Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80,3.1352777777777776 ], [ -80,0.0011111111111111111 ], [ -72,0.0011111111111111111 ], [ -72,3.1352777777777776 ], [ -80,3.1352777777777776 ] ] ] } } ] }","volume":"9","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-03-27","publicationStatus":"PW","scienceBaseUri":"53749079e4b0870f4d23cfff","contributors":{"authors":[{"text":"White, Ian R.","contributorId":21862,"corporation":false,"usgs":true,"family":"White","given":"Ian","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":485345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennen, Jonathan G. 0000-0002-5426-4445 jgkennen@usgs.gov","orcid":"https://orcid.org/0000-0002-5426-4445","contributorId":574,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan G.","email":"jgkennen@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485341,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"May, Jason T. 0000-0002-5699-2112","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":14791,"corporation":false,"usgs":true,"family":"May","given":"Jason T.","affiliations":[],"preferred":false,"id":485344,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485343,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cuffney, Thomas F. 0000-0003-1164-5560 tcuffney@usgs.gov","orcid":"https://orcid.org/0000-0003-1164-5560","contributorId":517,"corporation":false,"usgs":true,"family":"Cuffney","given":"Thomas","email":"tcuffney@usgs.gov","middleInitial":"F.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485340,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, Kimberly A. kjones@usgs.gov","contributorId":937,"corporation":false,"usgs":true,"family":"Jones","given":"Kimberly","email":"kjones@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":485342,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Orlando, James L. 0000-0002-0099-7221","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":95954,"corporation":false,"usgs":true,"family":"Orlando","given":"James L.","affiliations":[],"preferred":false,"id":485346,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70074259,"text":"sir20145010 - 2014 - Equations for estimating selected streamflow statistics in Rhode Island","interactions":[],"lastModifiedDate":"2016-08-19T16:45:20","indexId":"sir20145010","displayToPublicDate":"2014-04-01T13:28:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5010","title":"Equations for estimating selected streamflow statistics in Rhode Island","docAbstract":"Regional regression equations were developed for estimating selected natural—unaffected by alteration—streamflows of specific flow durations and low-flow frequency statistics for ungaged stream sites in Rhode Island. Selected at-site streamflow statistics are provided for 41 long-term streamgages, 21 short-term streamgages, and 135 partial-record stations in Rhode Island, eastern Connecticut, and southeastern and south-central Massachusetts. The regression equations for estimating selected streamflow statistics and the at-site statistics estimated for each of the 197 sites may be used by Federal, State, and local water managers in addressing water issues in and near Rhode Island.
\nMultiple and simple linear regression equations were developed to estimate the 99-, 98-, 95-, 90-, 85-, 80-, 75-, 70-, 60-, 50-, 40-, 30-, 25-, 20-, 15-, 10-, 5-, 2-, and 1-percent flow durations and the 7Q2 (7-day, 2-year) and 7Q10 (7-day, 10-year) low-flow-frequency statistics. An additional 49 selected statistics, for which regression equations were not developed, also were estimated for the long- and short-term streamgages and partial-record stations for flow durations between the 99.99 and 0.01 percent and for the mean annual, mean monthly, and median monthly streamflows. A total of 70 selected streamflow statistics were estimated for 41 long-term streamgages, 21 short-term streamgages, and 135 partial-record stations in and near Rhode Island. Estimates of the long-term streamflow statistics for the 21 short-term streamgages and 135 partial-record stations were developed by the Maintenance of Variance Extension, type 1 (MOVE.1), record-extension technique.
\nThe equations used to estimate selected streamflow statistics were developed by relating the 19 flow-duration and 2 low-flow-frequency statistics to 31 different basin characteristics (physical, land-cover, and climatic) at the 41 long-term and 19 of 21 short-term streamgages (a total of 60 streamgages) in and near Rhode Island. The 135 partial-record stations were not used in the regression analyses. The regression analyses were done by using a user-weighted least-squares technique in the weighted-multiple-linear regression program for the 90- to 1-percent flow-duration statistics. For the 99-, 98-, and 95-percent flow durations and the 7Q2 and 7Q10 statistics, left-censored regression analyses were used to account for zero flows at a few streamgages. The regression analyses determined that two basin characteristics—drainage area and stream density—were the only significant explanatory variables for 16 of the 19 flow-duration and the 2 low-flow regression equations. For the 10-, 15-, and 20-percent flow-duration regression equations, drainage area was the only significant explanatory variable. The standard error of the estimate for the 21 regression equations ranged from 17.58 to 141.83 percent. The 99- to 85-percent flow durations and the low-flow statistics 7Q2 and 7Q10 had the highest standard errors of the estimate, ranging from 48.68 to 141.83 percent. The standard error of the estimate for the medium- to high-flow statistics—the 80- to 1-percent flow durations—ranged from 17.58 to 37.65 percent, with the standard errors for the 60- to 1-percent flow durations all being less than about 21 percent. Data also are provided to allow the user to calculate the 90-percent prediction intervals for the 21 streamflow statistics.
\nThe equations, which are based on data from streams with little to no flow alterations, will provide an estimate of the natural flows for a selected site. They will not estimate flows for altered sites with dams, surface-water withdrawals, groundwater withdrawals (pumping wells), diversions, and wastewater discharges. If the equations are used to estimate streamflow statistics for altered sites, the user should adjust the flow estimates for the alterations. The regression equations should be used only for ungaged sites with drainage areas between 0.52 and 294 square miles and stream densities between 0.94 and 3.49 miles per square mile; these are the ranges of the explanatory variables in the equations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145010","collaboration":"Prepared in cooperation with the Rhode Island Water Resources Board","usgsCitation":"Bent, G.C., Steeves, P.A., and Waite, A.M., 2014, Equations for estimating selected streamflow statistics in Rhode Island: U.S. Geological Survey Scientific Investigations Report 2014-5010, Report: viii, 65 p.; Tables: 5 Excel files, https://doi.org/10.3133/sir20145010.","productDescription":"Report: viii, 65 p.; Tables: 5 Excel files","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-046041","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":285231,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145010.jpg"},{"id":285224,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5010/pdf/sir2014-5010.pdf","text":"Report","size":"13 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":285225,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5010/"},{"id":285226,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5010/tables/sir2014-5010_bent_table03.xlsx","text":"Table 3","size":"70 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"Table 3"},{"id":285227,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5010/tables/sir2014-5010_bent_table06.xlsx","text":"Table 6","size":"155 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"Table 6"},{"id":285228,"rank":6,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5010/tables/sir2014-5010_bent_table08.xlsx","text":"Table 8","size":"45 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"Table 8"},{"id":285229,"rank":7,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5010/tables/sir2014-5010_bent_table09.xlsx","text":"Table 9","size":"83 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"Table 9"},{"id":285230,"rank":8,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5010/tables/sir2014-5010_bent_table10.xlsx","text":"Table 10","size":"19 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"Table 10"}],"scale":"25000","datum":"North American Datum of 1983","country":"United States","state":"Rhode Island","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-71.383586,41.464782],[-71.389284,41.460605],[-71.390275,41.455043],[-71.399568,41.448596],[-71.40056,41.46094],[-71.395927,41.492215],[-71.386511,41.493071],[-71.378914,41.504948],[-71.391005,41.514578],[-71.392137,41.524468],[-71.384478,41.556736],[-71.379021,41.567772],[-71.373618,41.573214],[-71.370194,41.573963],[-71.36356,41.57086],[-71.359868,41.556308],[-71.363292,41.501952],[-71.360403,41.483121],[-71.380947,41.474561],[-71.383586,41.464782]]],[[[-71.326769,41.491286],[-71.325365,41.487601],[-71.327822,41.482985],[-71.343013,41.495615],[-71.341122,41.498598],[-71.326769,41.491286]]],[[[-71.140588,41.605102],[-71.138599,41.60347],[-71.137492,41.602561],[-71.131618,41.593918],[-71.131312,41.592308],[-71.1224,41.522156],[-71.12057,41.497448],[-71.136867,41.493942],[-71.141093,41.489937],[-71.140224,41.485855],[-71.167345,41.471405],[-71.170131,41.463974],[-71.19302,41.457931],[-71.194967,41.459037],[-71.196857,41.461116],[-71.196607,41.464756],[-71.190016,41.478275],[-71.190167,41.484285],[-71.19939,41.491769],[-71.199692,41.495511],[-71.206382,41.499215],[-71.200788,41.514371],[-71.213563,41.545818],[-71.20865,41.571028],[-71.20778,41.60066],[-71.212656,41.610072],[-71.212417,41.61829],[-71.212004,41.62299],[-71.21616,41.62549],[-71.240709,41.619225],[-71.2436,41.587508],[-71.23613,41.574767],[-71.236642,41.535852],[-71.234775,41.532538],[-71.227989,41.528297],[-71.229444,41.521544],[-71.240614,41.500557],[-71.238586,41.486845],[-71.237175,41.486546],[-71.236751,41.483369],[-71.24071,41.474872],[-71.246703,41.47196],[-71.245992,41.481302],[-71.252692,41.485902],[-71.264793,41.488902],[-71.285639,41.487805],[-71.295111,41.48435],[-71.304394,41.454502],[-71.311394,41.450802],[-71.312694,41.451402],[-71.312718,41.454597],[-71.32141,41.4556],[-71.337695,41.448902],[-71.351096,41.450802],[-71.362743,41.460379],[-71.36152,41.464831],[-71.34707,41.47123],[-71.335992,41.469647],[-71.316519,41.47756],[-71.317414,41.488776],[-71.323125,41.503088],[-71.327804,41.504258],[-71.330694,41.507699],[-71.330831,41.518364],[-71.313079,41.534672],[-71.310533,41.54692],[-71.303652,41.559925],[-71.294363,41.571416],[-71.288376,41.573274],[-71.285142,41.577127],[-71.273445,41.60699],[-71.272412,41.615041],[-71.275234,41.619444],[-71.271862,41.623986],[-71.251082,41.63878],[-71.212136,41.641945],[-71.19564,41.67509],[-71.194384,41.674803],[-71.191178,41.674216],[-71.191175,41.674292],[-71.18129,41.672502],[-71.17599,41.671402],[-71.17609,41.668502],[-71.17609,41.668102],[-71.153989,41.664102],[-71.14587,41.662795],[-71.135188,41.660502],[-71.134688,41.660502],[-71.132888,41.660102],[-71.13267,41.658744],[-71.134478,41.641262],[-71.134484,41.641198],[-71.135688,41.628402],[-71.140468,41.623893],[-71.141509,41.616076],[-71.14091,41.607405],[-71.140588,41.605102]]],[[[-71.3312,41.580318],[-71.335949,41.585898],[-71.337048,41.594688],[-71.333751,41.605859],[-71.329559,41.609097],[-71.326609,41.616114],[-71.325877,41.623988],[-71.333305,41.629536],[-71.34657,41.632229],[-71.362869,41.651457],[-71.366165,41.66098],[-71.348402,41.663727],[-71.338696,41.658782],[-71.336182,41.647961],[-71.337048,41.646146],[-71.342514,41.644791],[-71.343666,41.6399],[-71.330711,41.632992],[-71.314889,41.630398],[-71.30555,41.622523],[-71.303352,41.606591],[-71.307381,41.597984],[-71.317474,41.583187],[-71.326103,41.578583],[-71.3312,41.580318]]],[[[-71.281571,41.648207],[-71.278171,41.647309],[-71.274315,41.638125],[-71.283791,41.637797],[-71.286755,41.642725],[-71.283005,41.644434],[-71.281571,41.648207]]],[[[-71.58955,41.196557],[-71.580228,41.204837],[-71.577301,41.21471],[-71.576661,41.224434],[-71.573785,41.228436],[-71.561093,41.224207],[-71.555006,41.216822],[-71.554067,41.212957],[-71.557459,41.204542],[-71.564119,41.195372],[-71.565752,41.184373],[-71.560969,41.176186],[-71.550226,41.166787],[-71.544446,41.164912],[-71.543872,41.161321],[-71.547051,41.153684],[-71.551953,41.151718],[-71.5937,41.146339],[-71.599993,41.146932],[-71.611706,41.153239],[-71.613133,41.160281],[-71.605565,41.182139],[-71.594994,41.188392],[-71.58955,41.196557]]],[[[-71.797649,41.928556],[-71.797922,41.935395],[-71.799242,42.008065],[-71.76601,42.009745],[-71.576908,42.014098],[-71.559439,42.014342],[-71.527606,42.014998],[-71.527306,42.015098],[-71.500905,42.017098],[-71.499905,42.017198],[-71.498258,42.01722],[-71.458104,42.017762],[-71.381401,42.018798],[-71.381466,41.984998],[-71.381501,41.966699],[-71.381401,41.964799],[-71.3816,41.922899],[-71.3817,41.922699],[-71.3817,41.893199],[-71.3766,41.893999],[-71.373799,41.894399],[-71.370999,41.894599],[-71.365399,41.895299],[-71.364699,41.895399],[-71.362499,41.895599],[-71.354699,41.896499],[-71.352699,41.896699],[-71.338698,41.898399],[-71.339298,41.893599],[-71.339298,41.893399],[-71.340798,41.8816],[-71.333997,41.8623],[-71.342198,41.8448],[-71.341797,41.8437],[-71.335197,41.8355],[-71.337597,41.8337],[-71.339597,41.832],[-71.344897,41.828],[-71.347197,41.8231],[-71.339197,41.809],[-71.338897,41.8083],[-71.339297,41.8065],[-71.339297,41.8044],[-71.340797,41.8002],[-71.340697,41.7983],[-71.339297,41.7963],[-71.335797,41.7948],[-71.333896,41.7945],[-71.332196,41.7923],[-71.329296,41.7868],[-71.329396,41.7826],[-71.327896,41.780501],[-71.317795,41.776101],[-71.31779,41.776099],[-71.261392,41.752301],[-71.225709,41.711603],[-71.224798,41.710498],[-71.227875,41.705498],[-71.240991,41.697744],[-71.237635,41.681635],[-71.24155,41.667205],[-71.25956,41.642595],[-71.267055,41.644945],[-71.270075,41.652439],[-71.26918,41.6549],[-71.280366,41.672575],[-71.287637,41.672463],[-71.290546,41.662395],[-71.299159,41.649531],[-71.301396,41.649978],[-71.303746,41.654788],[-71.306095,41.672575],[-71.302627,41.681747],[-71.298935,41.681524],[-71.293119,41.688347],[-71.291217,41.702666],[-71.305759,41.718662],[-71.31482,41.723808],[-71.342786,41.728506],[-71.350057,41.727835],[-71.353172,41.725191],[-71.353748,41.724702],[-71.365717,41.711615],[-71.365717,41.694947],[-71.372988,41.672575],[-71.37791,41.666646],[-71.382049,41.667317],[-71.38988,41.671903],[-71.390775,41.680629],[-71.389432,41.683425],[-71.390551,41.684096],[-71.418069,41.684208],[-71.441336,41.686446],[-71.443082,41.688303],[-71.441896,41.690025],[-71.445923,41.691144],[-71.449318,41.687401],[-71.444468,41.664409],[-71.430038,41.667541],[-71.425452,41.670785],[-71.409302,41.662643],[-71.408636,41.653819],[-71.40377,41.589321],[-71.447712,41.5804],[-71.442567,41.565075],[-71.421649,41.537892],[-71.417398,41.534536],[-71.414825,41.523126],[-71.414937,41.516303],[-71.421425,41.498629],[-71.419971,41.484758],[-71.417957,41.482073],[-71.417621,41.477934],[-71.418404,41.472652],[-71.421157,41.469888],[-71.422991,41.472682],[-71.430744,41.470636],[-71.430926,41.465655],[-71.427935,41.459529],[-71.428652,41.454158],[-71.433612,41.444995],[-71.43767,41.441302],[-71.441199,41.441602],[-71.448948,41.438479],[-71.455845,41.432986],[-71.455371,41.407962],[-71.474918,41.386104],[-71.483295,41.371722],[-71.513401,41.374702],[-71.526724,41.376636],[-71.555381,41.373316],[-71.624505,41.36087],[-71.68807,41.342823],[-71.701631,41.336968],[-71.72074,41.331567],[-71.773702,41.327977],[-71.785957,41.325739],[-71.833755,41.315631],[-71.857432,41.306318],[-71.862772,41.309791],[-71.862109,41.316612],[-71.860513,41.320248],[-71.839013,41.334042],[-71.829595,41.344544],[-71.835951,41.353935],[-71.837738,41.363529],[-71.831613,41.370899],[-71.833443,41.384524],[-71.842131,41.395359],[-71.843472,41.40583],[-71.842563,41.409855],[-71.839649,41.412119],[-71.81839,41.419599],[-71.797683,41.416709],[-71.789359,41.596852],[-71.789356,41.59691],[-71.787637,41.639917],[-71.786994,41.655992],[-71.789672,41.724569],[-71.789678,41.724734],[-71.791062,41.770273],[-71.792767,41.807001],[-71.792786,41.80867],[-71.794161,41.840141],[-71.794161,41.841101],[-71.797649,41.928556]]]]},\"properties\":{\"name\":\"Rhode Island\",\"nation\":\"USA \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517036e4b05569d805a1e4","contributors":{"authors":[{"text":"Bent, Gardner C. 0000-0002-5085-3146 gbent@usgs.gov","orcid":"https://orcid.org/0000-0002-5085-3146","contributorId":1864,"corporation":false,"usgs":true,"family":"Bent","given":"Gardner","email":"gbent@usgs.gov","middleInitial":"C.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steeves, Peter A. 0000-0001-7558-9719 psteeves@usgs.gov","orcid":"https://orcid.org/0000-0001-7558-9719","contributorId":1873,"corporation":false,"usgs":true,"family":"Steeves","given":"Peter","email":"psteeves@usgs.gov","middleInitial":"A.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waite, Andrew M. awaite@usgs.gov","contributorId":2215,"corporation":false,"usgs":true,"family":"Waite","given":"Andrew","email":"awaite@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":489429,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70111060,"text":"70111060 - 2014 - Triggering and modulation of geyser eruptions in Yellowstone National Park by earthquakes, earth tides, and weather","interactions":[],"lastModifiedDate":"2019-03-11T08:48:13","indexId":"70111060","displayToPublicDate":"2014-04-01T13:19:04","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Triggering and modulation of geyser eruptions in Yellowstone National Park by earthquakes, earth tides, and weather","docAbstract":"We analyze intervals between eruptions (IBEs) data acquired between 2001 and 2011 at Daisy and Old Faithful geysers in Yellowstone National Park. We focus our statistical analysis on the response of these geysers to stress perturbations from within the solid earth (earthquakes and earth tides) and from weather (air pressure and temperature, precipitation, and wind). We conclude that (1) the IBEs of these geysers are insensitive to periodic stresses induced by solid earth tides and barometric pressure variations; (2) Daisy (pool geyser) IBEs lengthen by evaporation and heat loss in response to large wind storms and cold air; and (3) Old Faithful (cone geyser) IBEs are not modulated by air temperature and pressure variations, wind, and precipitation, suggesting that the subsurface water column is decoupled from the atmosphere. Dynamic stress changes of 0.1−0.2 MPa resulting from the 2002 M-7.9 Denali, Alaska, earthquake surface waves caused a statistically significant shortening of Daisy geyser's IBEs. Stresses induced by other large global earthquakes during the study period were at least an order of magnitude smaller. In contrast, dynamic stresses of >0.5 MPa from three large regional earthquakes in 1959, 1975, and 1983 caused lengthening of Old Faithful's IBEs. We infer that most subannual geyser IBE variability is dominated by internal processes and interaction with other geysers. The results of this study provide quantitative bounds on the sensitivity of hydrothermal systems to external stress perturbations and have implications for studying the triggering and modulation of volcanic eruptions by external forces.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research B: Solid Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/2013JB010803","usgsCitation":"Hurwitz, S., Sohn, R.A., Luttrell, K.M., and Manga, M., 2014, Triggering and modulation of geyser eruptions in Yellowstone National Park by earthquakes, earth tides, and weather: Journal of Geophysical Research B: Solid Earth, v. 119, no. 3, p. 1718-1737, https://doi.org/10.1002/2013JB010803.","productDescription":"20 p.","startPage":"1718","endPage":"1737","ipdsId":"IP-052228","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":473071,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013jb010803","text":"Publisher Index Page"},{"id":287961,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111,43.5 ], [ -111,45.5 ], [ -110,45.5 ], [ -110,43.5 ], [ -111,43.5 ] ] ] } } ] }","volume":"119","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-03-05","publicationStatus":"PW","scienceBaseUri":"53ae787ce4b0abf75cf2d705","contributors":{"authors":[{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":494214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sohn, Robert A.","contributorId":37258,"corporation":false,"usgs":true,"family":"Sohn","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":494215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luttrell, Karen M. kluttrell@usgs.gov","contributorId":3850,"corporation":false,"usgs":true,"family":"Luttrell","given":"Karen","email":"kluttrell@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":494217,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Manga, Michael","contributorId":66559,"corporation":false,"usgs":true,"family":"Manga","given":"Michael","affiliations":[],"preferred":false,"id":494216,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70155183,"text":"70155183 - 2014 - Groundwater availability as constrained by hydrogeology and environmental flows","interactions":[],"lastModifiedDate":"2015-07-31T10:58:29","indexId":"70155183","displayToPublicDate":"2014-04-01T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater availability as constrained by hydrogeology and environmental flows","docAbstract":"Groundwater pumping from aquifers in hydraulic connection with nearby streams has the potential to cause adverse impacts by decreasing flows to levels below those necessary to maintain aquatic ecosystems. The recent passage of the Great Lakes-St. Lawrence River Basin Water Resources Compact has brought attention to this issue in the Great Lakes region. In particular, the legislation requires the Great Lakes states to enact measures for limiting water withdrawals that can cause adverse ecosystem impacts. This study explores how both hydrogeologic and environmental flow limitations may constrain groundwater availability in the Great Lakes Basin. A methodology for calculating maximum allowable pumping rates is presented. Groundwater availability across the basin may be constrained by a combination of hydrogeologic yield and environmental flow limitations varying over both local and regional scales. The results are sensitive to factors such as pumping time, regional and local hydrogeology, streambed conductance, and streamflow depletion limits. Understanding how these restrictions constrain groundwater usage and which hydrogeologic characteristics and spatial variables have the most influence on potential streamflow depletions has important water resources policy and management implications.
","language":"English","publisher":"National Ground Water Association","publisherLocation":"Worthington, OH","doi":"10.1111/gwat.12050","collaboration":"National Science Foundation","usgsCitation":"Watson, K.A., Mayer, A.S., and Reeves, H.W., 2014, Groundwater availability as constrained by hydrogeology and environmental flows: Ground Water, v. 52, no. 2, p. 225-238, https://doi.org/10.1111/gwat.12050.","productDescription":"14 p.","startPage":"225","endPage":"238","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045329","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":306290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2013-04-12","publicationStatus":"PW","scienceBaseUri":"55bc9c2de4b033ef52100f2d","contributors":{"authors":[{"text":"Watson, Katelyn A.","contributorId":145696,"corporation":false,"usgs":false,"family":"Watson","given":"Katelyn","email":"","middleInitial":"A.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":564999,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mayer, Alex S.","contributorId":81028,"corporation":false,"usgs":true,"family":"Mayer","given":"Alex","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":564998,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reeves, Howard W. 0000-0001-8057-2081 hwreeves@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-2081","contributorId":2307,"corporation":false,"usgs":true,"family":"Reeves","given":"Howard","email":"hwreeves@usgs.gov","middleInitial":"W.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":564997,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159714,"text":"70159714 - 2014 - Climate change impacts on the temperature and magnitude of groundwater discharge from shallow, unconfined aquifers","interactions":[],"lastModifiedDate":"2015-11-18T10:51:03","indexId":"70159714","displayToPublicDate":"2014-04-01T12:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Climate change impacts on the temperature and magnitude of groundwater discharge from shallow, unconfined aquifers","docAbstract":"Cold groundwater discharge to streams and rivers can provide critical thermal refuge for threatened salmonids and other aquatic species during warm summer periods. Climate change may influence groundwater temperature and flow rates, which may in turn impact riverine ecosystems. This study evaluates the potential impact of climate change on the timing, magnitude, and temperature of groundwater discharge from small, unconfined aquifers that undergo seasonal freezing and thawing. Seven downscaled climate scenarios for 2046–2065 were utilized to drive surficial water and energy balance models (HELP3 and ForHyM2) to obtain future projections for daily ground surface temperature and groundwater recharge. These future surface conditions were then applied as boundary conditions to drive subsurface simulations of variably saturated groundwater flow and energy transport. The subsurface simulations were performed with the U.S. Geological Survey finite element model SUTRA that was recently modified to include the dynamic freeze-thaw process. The SUTRA simulations indicate a potential rise in the magnitude (up to 34%) and temperature (up to 3.6°C) of groundwater discharge to the adjacent river during the summer months due to projected increases in air temperature and precipitation. The thermal response of groundwater to climate change is shown to be strongly dependent on the aquifer dimensions. Thus, the simulations demonstrate that the thermal sensitivity of aquifers and baseflow-dominated streams to decadal climate change may be more complex than previously thought. Furthermore, the results indicate that the probability of exceeding critical temperature thresholds within groundwater-sourced thermal refugia may significantly increase under the most extreme climate scenarios.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2013WR014588","usgsCitation":"Kurylyk, B.L., MacQuarrie, K.T., and Voss, C.I., 2014, Climate change impacts on the temperature and magnitude of groundwater discharge from shallow, unconfined aquifers: Water Resources Research, v. 50, no. 4, p. 3253-3274, https://doi.org/10.1002/2013WR014588.","productDescription":"22 p.","startPage":"3253","endPage":"3274","numberOfPages":"22","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053810","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":311487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-15","publicationStatus":"PW","scienceBaseUri":"564daf45e4b0112df6c62df2","contributors":{"authors":[{"text":"Kurylyk, Barret L.","contributorId":78262,"corporation":false,"usgs":true,"family":"Kurylyk","given":"Barret","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":580168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"MacQuarrie, Kerry T.B","contributorId":149960,"corporation":false,"usgs":false,"family":"MacQuarrie","given":"Kerry","email":"","middleInitial":"T.B","affiliations":[{"id":17865,"text":"Dept of Civil Engineering & Canadian Rivers Inst. Univ of New Brunswick","active":true,"usgs":false}],"preferred":false,"id":580169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":580167,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70100421,"text":"70100421 - 2014 - A 17-year record of environmental tracers in spring discharge, Shenandoah National Park, Virginia, USA: use of climatic data and environmental conditions to interpret discharge, dissolved solutes, and tracer concentrations","interactions":[],"lastModifiedDate":"2018-03-21T15:11:32","indexId":"70100421","displayToPublicDate":"2014-04-01T11:08:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":866,"text":"Aquatic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"A 17-year record of environmental tracers in spring discharge, Shenandoah National Park, Virginia, USA: use of climatic data and environmental conditions to interpret discharge, dissolved solutes, and tracer concentrations","docAbstract":"A 17-year record (1995–2012) of a suite of environmental tracer concentrations in discharge from 34 springs located along the crest of the Blue Ridge Mountains in Shenandoah National Park (SNP), Virginia, USA, reveals patterns and trends that can be related to climatic and environmental conditions. These data include a 12-year time series of monthly sampling at five springs, with measurements of temperature, specific conductance, pH, and discharge recorded at 30-min intervals. The monthly measurements include age tracers (CFC-11, CFC-12, CFC-113, CFC-13, SF6, and SF5CF3), dissolved gases (N2, O2, Ar, CO2, and CH4), stable isotopes of water, and major and trace inorganic constituents. The chlorofluorocarbon (CFC) and sulfur hexafluoride (SF6) concentrations (in pptv) in spring discharge closely follow the concurrent monthly measurements of their atmospheric mixing ratios measured at the Air Monitoring Station at Big Meadows, SNP, indicating waters 0–3 years in age. A 2-year (2001–2003) record of unsaturated zone air displayed seasonal deviations from North American Air of ±10 % for CFC-11 and CFC-113, with excess CFC-11 and CFC-113 in peak summer and depletion in peak winter. The pattern in unsaturated zone soil CFCs is a function of gas solubility in soil water and seasonal unsaturated zone temperatures. Using the increase in the SF6 atmospheric mixing ratio, the apparent (piston flow) SF6 age of the water varied seasonally between about 0 (modern) in January and up to 3 years in July–August. The SF6 concentration and concentrations of dissolved solutes (SiO2, Ca2+, Mg2+, Na+, Cl−, and HCO3−) in spring discharge demonstrate a fraction of recent recharge following large precipitation events. The output of solutes in the discharge of springs minus the input from atmospheric deposition per hectare of watershed area (mol ha−1 a−1) were approximately twofold greater in watersheds draining the regolith of Catoctin metabasalts than that of granitic gneisses and granitoid crystalline rocks. The stable isotopic composition of water in spring discharge broadly correlates with the Oceanic Niño Index. Below normal precipitation and enriched stable isotopic composition were observed during El Niño years.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aquatic Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10498-013-9202-y","usgsCitation":"Busenberg, E., and Plummer, N., 2014, A 17-year record of environmental tracers in spring discharge, Shenandoah National Park, Virginia, USA: use of climatic data and environmental conditions to interpret discharge, dissolved solutes, and tracer concentrations: Aquatic Geochemistry, v. 20, no. 2-3, p. 267-290, https://doi.org/10.1007/s10498-013-9202-y.","productDescription":"24 p.","startPage":"267","endPage":"290","numberOfPages":"24","ipdsId":"IP-044836","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":285189,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10498-013-9202-y"},{"id":285191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.1015,37.8742 ], [ -79.1015,39.0556 ], [ -78.0457,39.0556 ], [ -78.0457,37.8742 ], [ -79.1015,37.8742 ] ] ] } } ] }","volume":"20","issue":"2-3","noUsgsAuthors":false,"publicationDate":"2013-10-02","publicationStatus":"PW","scienceBaseUri":"53516eb2e4b05569d8059d17","contributors":{"authors":[{"text":"Busenberg, Eurybiades ebusenbe@usgs.gov","contributorId":2271,"corporation":false,"usgs":true,"family":"Busenberg","given":"Eurybiades","email":"ebusenbe@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":492200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plummer, Niel 0000-0002-4020-1013 nplummer@usgs.gov","orcid":"https://orcid.org/0000-0002-4020-1013","contributorId":190100,"corporation":false,"usgs":true,"family":"Plummer","given":"Niel","email":"nplummer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":492201,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70100655,"text":"70100655 - 2014 - Spatial and temporal patterns of endocrine active chemicals in small streams indicate differential exposure to aquatic organisms","interactions":[],"lastModifiedDate":"2018-09-18T16:12:56","indexId":"70100655","displayToPublicDate":"2014-04-01T10:32:45","publicationYear":"2014","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":"Spatial and temporal patterns of endocrine active chemicals in small streams indicate differential exposure to aquatic organisms","docAbstract":"Alkylphenolic chemicals (APCs) and hormones were measured six times from February through October 2007 in three Minnesota streams receiving wastewater to identify spatial and temporal patterns in concentrations and in estrogen equivalency. Fish were collected once during the study to evaluate endpoints indicative of endocrine disruption. The most commonly detected APCs were 4-tert-octylphenol and 4-nonylphenol and the most commonly detected hormones were estrone and androstenedione. Chemical concentrations were greatest for nonylphenol ethoxycarboxylates (NPECs) (5,000-140,000 ng/l), followed by 4-nonlylphenol and 4-nonylphenolethoxylates (50-880 ng/l), 4-tert-octylphenol and 4-tert-octylphenolethoxylates with concentrations as great as 130 ng/l, and hormones (0.1-54 ng/l). Patterns in chemicals and estrogen equivalency indicated that wastewater effluent is a pathway of APCs and hormones to downstream locations in this study. However, upstream contributions can be equally or more important indicating alternative sources. This study indicates that aquatic organisms experience both spatially and temporally variable exposures in the number of compounds, total concentrations, and estrogenicity. This variability was evident in fish collected from the three rivers as no clear upstream to downstream pattern of endocrine disruption endpoints emerged.","language":"English","publisher":"Wiley","doi":"10.1111/jawr.12162","usgsCitation":"Lee, K.E., Barber, L.B., and Schoenfuss, H., 2014, Spatial and temporal patterns of endocrine active chemicals in small streams indicate differential exposure to aquatic organisms: Journal of the American Water Resources Association, v. 50, no. 2, p. 401-419, https://doi.org/10.1111/jawr.12162.","productDescription":"19 p.","startPage":"401","endPage":"419","ipdsId":"IP-043754","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":285699,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":285660,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jawr.12162"}],"country":"United States","state":"Minnesota","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.24,43.5 ], [ -97.24,49.38 ], [ -89.49,49.38 ], [ -89.49,43.5 ], [ -97.24,43.5 ] ] ] } } ] }","volume":"50","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517064e4b05569d805a3c7","contributors":{"authors":[{"text":"Lee, K. E.","contributorId":100014,"corporation":false,"usgs":true,"family":"Lee","given":"K.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":492390,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barber, L. B.","contributorId":64602,"corporation":false,"usgs":true,"family":"Barber","given":"L.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":492389,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoenfuss, H.L.","contributorId":103877,"corporation":false,"usgs":true,"family":"Schoenfuss","given":"H.L.","affiliations":[],"preferred":false,"id":492391,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70047332,"text":"70047332 - 2014 - Reconnaissance of pharmaceuticals and wastewater indicators in streambed sediments of the lower Columbia River basin, Oregon and Washington","interactions":[],"lastModifiedDate":"2018-09-14T16:07:35","indexId":"70047332","displayToPublicDate":"2014-04-01T10:32:00","publicationYear":"2014","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":"Reconnaissance of pharmaceuticals and wastewater indicators in streambed sediments of the lower Columbia River basin, Oregon and Washington","docAbstract":"One by-product of advances in modern chemistry is the accumulation of synthetic chemicals in the natural environment. These compounds include contaminants of emerging concern (CECs), some of which are endocrine disrupting compounds (EDCs) that can have detrimental reproductive effects. The role of sediments in accumulating these types of chemicals and acting as a source of exposure for aquatic organisms is not well understood. Here we present a small-scale reconnaissance of CECs in bed sediments of the lower Columbia River and several tributaries and urban streams. Surficial bed sediment samples were collected from the Columbia River, the Willamette River, the Tualatin River, and several small urban creeks in Oregon. Thirty-nine compounds were detected at concentrations ranging from <1 to >1,000 ng [g sediment]-1 dry weight basis. Columbia River mainstem, suggesting a higher risk of exposure to aquatic life in lower order streams. Ten known or suspected EDCs were detected during the study. At least one EDC was detected at 21 of 23 sites sampled; several EDCs were detected in sediment from most sites. This study is the first to document the occurrence of a large suite of CECs in the sediments of the Columbia River basin. A better understanding of the role of sediment in the fate and effects of emerging contaminants is needed.","language":"English","publisher":"American Water Resources Association","doi":"10.1111/jawr.12161","usgsCitation":"Nilsen, E., Furlong, E.T., and Rosenbauer, R., 2014, Reconnaissance of pharmaceuticals and wastewater indicators in streambed sediments of the lower Columbia River basin, Oregon and Washington: Journal of the American Water Resources Association, v. 50, no. 2, p. 291-301, https://doi.org/10.1111/jawr.12161.","productDescription":"11 p.","startPage":"291","endPage":"301","ipdsId":"IP-046284","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":473074,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/64g1j3sh","text":"External Repository"},{"id":287160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287159,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jawr.12161"}],"country":"United States","state":"Oregon;Washington","otherGeospatial":"Columbia River","volume":"50","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53749074e4b0870f4d23cfdd","contributors":{"authors":[{"text":"Nilsen, Elena","contributorId":16758,"corporation":false,"usgs":true,"family":"Nilsen","given":"Elena","affiliations":[],"preferred":false,"id":481724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":481722,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenbauer, Robert","contributorId":9551,"corporation":false,"usgs":true,"family":"Rosenbauer","given":"Robert","affiliations":[],"preferred":false,"id":481723,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70148669,"text":"70148669 - 2014 - A capture-recapture model of amphidromous fish dispersal","interactions":[],"lastModifiedDate":"2015-06-19T09:27:39","indexId":"70148669","displayToPublicDate":"2014-04-01T10:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"A capture-recapture model of amphidromous fish dispersal","docAbstract":"Adult movement scale was quantified for two tropical Caribbean diadromous fishes, bigmouth sleeper Gobiomorus dormitor and mountain mullet Agonostomus monticola, using passive integrated transponders (PITs) and radio-telemetry. Large numbers of fishes were tagged in Rio Mameyes, Puerto Rico, U.S.A., with PITs and monitored at three fixed locations over a 2-5 year period to estimate transition probabilities between upper and lower elevations and survival probabilities with a multistate Cormack-Jolly-Seber model. A sub-set of fishes were tagged with radio-transmitters and tracked at weekly intervals to estimate fine-scale dispersal. Changes in spatial and temporal distributions of tagged fishes indicated that neither G. dormitor nor A. monticola moved into the lowest, estuarine reaches of Rio Mameyes during two consecutive reproductive periods, thus demonstrating that both species follow an amphidromous, rather than catadromous, migratory strategy. Further, both species were relatively sedentary, with restricted linear ranges. While substantial dispersal of these species occurs at the larval stage during recruitment to fresh water, the results indicate minimal dispersal in spawning adults. Successful conservation of diadromous fauna on tropical islands requires management at both broad basin and localized spatial scales.
","language":"English","publisher":"Fisheries Society of the British Isles","publisherLocation":"London","doi":"10.1111/jfb.12316","collaboration":"Puerto Rico Department of Natural and Environmental Resources through Federal Aid in Sport Fish Restoration Fund; North Carolina State University, North Carolina Wildlife Resources Commission, U.S. Geological Survey, U.S. Fish and Wildlife Service and Wildlife Management Institute","usgsCitation":"Smith, W., and Kwak, T.J., 2014, A capture-recapture model of amphidromous fish dispersal: Journal of Fish Biology, v. 84, no. 4, p. 897-912, https://doi.org/10.1111/jfb.12316.","productDescription":"16 p.","startPage":"897","endPage":"912","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052656","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":301326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"84","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-12","publicationStatus":"PW","scienceBaseUri":"55853d2ee4b023124e8f5ae6","contributors":{"authors":[{"text":"Smith, W.","contributorId":34258,"corporation":false,"usgs":true,"family":"Smith","given":"W.","affiliations":[],"preferred":false,"id":548971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":548970,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70148668,"text":"70148668 - 2014 - Otolith microchemistry of tropical diadromous fishes: spatial and migratory dynamics","interactions":[],"lastModifiedDate":"2015-06-19T09:33:17","indexId":"70148668","displayToPublicDate":"2014-04-01T10:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"Otolith microchemistry of tropical diadromous fishes: spatial and migratory dynamics","docAbstract":"Otolith microchemistry was applied to quantify migratory variation and the proportion of native Caribbean stream fishes that undergo full or partial marine migration. Strontium and barium water chemistry in four Puerto Rico, U.S.A., rivers was clearly related to a salinity gradient; however, variation in water barium, and thus fish otoliths, was also dependent on river basin. Strontium was the most accurate index of longitudinal migration in tropical diadromous fish otoliths. Among the four species examined, bigmouth sleeper Gobiomorus dormitor, mountain mullet Agonostomus monticola, sirajo goby Sicydium spp. and river goby Awaous banana, most individuals were fully amphidromous, but 9-12% were semi-amphidromous as recruits, having never experienced marine or estuarine conditions in early life stages and showing no evidence of marine elemental signatures in their otolith core. Populations of one species, G. dormitor, may have contained a small contingent of semi-amphidromous adults, migratory individuals that periodically occupied marine or estuarine habitats (4%); however, adult migratory elemental signatures may have been confounded with those related to diet and physiology. These findings indicate the plasticity of migratory strategies of tropical diadromous fishes, which may be more variable than simple categorization might suggest.
","language":"English","publisher":"Fisheries Society of the British Isles","publisherLocation":"London","doi":"10.1111/jfb.12317","collaboration":"Puerto Rico Department of Natural and Environmental Resources through Federal Aid in Sport Fish Restoration; North Carolina State University, North Carolina Wildlife Resources Commission; U.S. Fish and Wildlife Service; Wildlife Management Institute","usgsCitation":"Smith, W.E., and Kwak, T.J., 2014, Otolith microchemistry of tropical diadromous fishes: spatial and migratory dynamics: Journal of Fish Biology, v. 84, no. 4, p. 913-928, https://doi.org/10.1111/jfb.12317.","productDescription":"16 p.","startPage":"913","endPage":"928","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052655","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":301327,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"84","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-02-12","publicationStatus":"PW","scienceBaseUri":"55853d45e4b023124e8f5b1c","contributors":{"authors":[{"text":"Smith, William E.","contributorId":141055,"corporation":false,"usgs":false,"family":"Smith","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":548972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":548969,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70101272,"text":"70101272 - 2014 - Small reservoir distribution, rate of construction, and uses in the upper and middle Chattahoochee basins of the Georgia Piedmont, USA, 1950-2010","interactions":[],"lastModifiedDate":"2017-01-12T11:02:05","indexId":"70101272","displayToPublicDate":"2014-04-01T10:24:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1957,"text":"ISPRS International Journal of Geo-information","active":true,"publicationSubtype":{"id":10}},"title":"Small reservoir distribution, rate of construction, and uses in the upper and middle Chattahoochee basins of the Georgia Piedmont, USA, 1950-2010","docAbstract":"Construction of small reservoirs affects ecosystem processes in numerous ways including fragmenting stream habitat, altering hydrology, and modifying water chemistry. While the upper and middle Chattahoochee River basins within the Southeastern United States Piedmont contain few natural lakes, they have a high density of small reservoirs (more than 7500 small reservoirs in the nearly 12,000 km2 basin). Policymakers and water managers in the region have little information about small reservoir distribution, uses, or the cumulative inundation of land cover caused by small reservoir construction. Examination of aerial photography reveals the spatiotemporal patterns and extent of small reservoir construction from 1950 to 2010. Over that 60 year timeframe, the area inundated by water increased nearly six fold (from 19 reservoirs covering 0.16% of the study area in 1950 to 329 reservoirs covering 0.95% of the study area in 2010). While agricultural practices were associated with reservoir creation from 1950 to 1970, the highest rates of reservoir construction occurred during subsequent suburban development between 1980 and 1990. Land cover adjacent to individual reservoirs transitioned over time through agricultural abandonment, land reforestation, and conversion to development during suburban expansion. The prolific rate of ongoing small reservoir creation, particularly in newly urbanizing regions and developing counties, necessitates additional attention from watershed managers and continued scientific research into cumulative environmental impacts at the watershed scale.","language":"English","publisher":"International Journal of Geo-Information","doi":"10.3390/ijgi3020460","usgsCitation":"Ignatius, A.R., and Jones, J., 2014, Small reservoir distribution, rate of construction, and uses in the upper and middle Chattahoochee basins of the Georgia Piedmont, USA, 1950-2010: ISPRS International Journal of Geo-information, v. 3, no. 2, p. 460-480, https://doi.org/10.3390/ijgi3020460.","productDescription":"21 p.","startPage":"460","endPage":"480","ipdsId":"IP-041039","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":473075,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ijgi3020460","text":"Publisher Index Page"},{"id":286169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Chattahoochee River Basin, Georgia Piedmont","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.599022,33.757124 ], [ -84.599022,34.987592 ], [ -82.965826,34.987592 ], [ -82.965826,33.757124 ], [ -84.599022,33.757124 ] ] ] } } ] }","volume":"3","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-04-01","publicationStatus":"PW","scienceBaseUri":"53517063e4b05569d805a3bb","contributors":{"authors":[{"text":"Ignatius, Amber R. arignatius@usgs.gov","contributorId":3817,"corporation":false,"usgs":true,"family":"Ignatius","given":"Amber","email":"arignatius@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":492651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, John W. 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","middleInitial":"W.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":492650,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70112899,"text":"70112899 - 2014 - Infection of sea lamprey with an unusual strain of Aeromonas salmonicida","interactions":[],"lastModifiedDate":"2014-06-18T11:39:01","indexId":"70112899","displayToPublicDate":"2014-04-01T10:22:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Infection of sea lamprey with an unusual strain of Aeromonas salmonicida","docAbstract":"The invasion of the Laurentian Great Lakes by the fish-parasitic sea lamprey has led to catastrophic consequences, including the potential introduction of fish pathogens. Aeromonas salmonicida is a bacterial fish pathogen that causes devastating losses worldwide. Currently, there are five accepted subspecies of Aeromonas salmonicida: A. salmonicida subsp. salmonicida, masoucida, smithia, achromogenes, and pectinolytica. We discuss the discovery of an isolate of A. salmonicida that is pathogenic to rainbow trout (Oncorhynchus mykiss) and exhibits unique phenotypic and molecular characteristics. We examined 181 adult sea lamprey (Petromyzon marinus) from the Humber River (Lake Ontario watershed) and 162 adult sea lamprey from Duffins Creek (Lake Ontario watershed) during the spring seasons of 2005–11. Among those, 4/343 (1.2%) sea lamprey were culture positive for A. salmonicida, whereby biochemical and molecular studies identified three of the isolates as A. salmonicida subsp. salmonicida. The remaining isolate (As-SL1) recovered from Humber River sea lamprey was phenotypically more similar to A. salmonicida subsp. salmonicida than to the four other A. salmonicida subspecies. However, unlike A. salmonicida subsp. salmonicida, As-SL1 was sucrose positive, produced an acid-over-acid reaction on triple-sugar iron medium and did not amplify with A. salmonicida subsp. salmonicida specific primers. Phylogenetic analysis based on partial stretches of the 16S rRNA and DNA gyrase subunit B genes further confirmed that the As-SL1 isolate was not A. salmonicida subsp. masoucida, smithia, achromogenes, or pectinolytica. Based on our analyses, the As-SL1 isolate is either an unusual strain of A. salmonicida subsp. salmonicida or a novel A. salmonicida subspecies. The four A. salmonicida isolates that were recovered from sea lamprey were pathogenic to rainbow trout in experimental challenge studies. Our study also underscores the potential role of sea lamprey in the ecology of infectious fish diseases.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Diseases","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2013-01-026","usgsCitation":"Diamanka, A., Loch, T.P., Cipriano, R.C., Winters, A.D., and Faisal, M., 2014, Infection of sea lamprey with an unusual strain of Aeromonas salmonicida: Journal of Wildlife Diseases, v. 50, no. 2, p. 159-170, https://doi.org/10.7589/2013-01-026.","productDescription":"12 p.","startPage":"159","endPage":"170","numberOfPages":"12","ipdsId":"IP-057471","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":288799,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288798,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.7589/2013-01-026"}],"volume":"50","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae774ce4b0abf75cf2c0e4","contributors":{"authors":[{"text":"Diamanka, Arfang","contributorId":14737,"corporation":false,"usgs":true,"family":"Diamanka","given":"Arfang","email":"","affiliations":[],"preferred":false,"id":494878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loch, Thomas P.","contributorId":44080,"corporation":false,"usgs":true,"family":"Loch","given":"Thomas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":494879,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cipriano, Rocco C. rcipriano@usgs.gov","contributorId":2487,"corporation":false,"usgs":true,"family":"Cipriano","given":"Rocco","email":"rcipriano@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":494877,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Winters, Andrew D.","contributorId":88653,"corporation":false,"usgs":true,"family":"Winters","given":"Andrew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":494880,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Faisal, Mohamed","contributorId":94600,"corporation":false,"usgs":true,"family":"Faisal","given":"Mohamed","email":"","affiliations":[],"preferred":false,"id":494881,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70132323,"text":"70132323 - 2014 - Successes and challenges from formation to implementation of eleven broad-extent conservation programs","interactions":[],"lastModifiedDate":"2017-11-24T17:37:50","indexId":"70132323","displayToPublicDate":"2014-04-01T10:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Successes and challenges from formation to implementation of eleven broad-extent conservation programs","docAbstract":"Integration of conservation partnerships across geographic, biological, and administrative boundaries is increasingly relevant because drivers of change, such as climate shifts, transcend these boundaries. We explored successes and challenges of established conservation programs that span multiple watersheds and consider both social and ecological concerns. We asked representatives from a diverse set of 11 broadextent conservation partnerships in 29 countries 17 questions that pertained to launching and maintaining partnerships for broad-extent conservation, specifying ultimate management objectives, and implementation and learning. Partnerships invested more funds in implementing conservation actions than any other aspect of conservation, and a program’s context (geographic extent, United States vs. other countries, developed vs. developing nation) appeared to substantially affect program approach. Despite early successes of these organizations and benefits of broad-extent conservation, specific challenges related to uncertainties in scaling up information and to coordination in the face of diverse partner governance structures, conflicting objectives, and vast uncertainties regarding future system dynamics hindered long-term success, as demonstrated by the focal organizations. Engaging stakeholders, developing conservation measures, and implementing adaptive management were dominant challenges. To inform future research on broad-extent conservation, we considered several challenges when we developed detailed questions, such as what qualities of broad-extent partnerships ensure they complement, integrate, and strengthen, rather than replace, local conservation efforts and which adaptive management processes yield actionable conservation strategies that account explicitly for dynamics and uncertainties regarding multiscale governance, environmental conditions, and knowledge of the system?
","language":"English","publisher":"Wiley","doi":"10.1111/cobi.12233","usgsCitation":"Beever, E.A., Bradford, J.B., Germino, M.J., Mattsson, B., Post van der Burg, M., and Brunson, M., 2014, Successes and challenges from formation to implementation of eleven broad-extent conservation programs: Conservation Biology, v. 28, no. 2, p. 302-314, https://doi.org/10.1111/cobi.12233.","productDescription":"13 p.","startPage":"302","endPage":"314","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038103","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":296043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-02-18","publicationStatus":"PW","scienceBaseUri":"5465d63be4b04d4b7dbd669d","contributors":{"authors":[{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":2934,"corporation":false,"usgs":true,"family":"Beever","given":"Erik","email":"ebeever@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":522744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":522745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":3298,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew","email":"mgermino@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":522746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mattsson, Brady J.","contributorId":84205,"corporation":false,"usgs":true,"family":"Mattsson","given":"Brady J.","affiliations":[],"preferred":false,"id":522743,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Post van der Burg, Max 0000-0002-3943-4194 maxpostvanderburg@usgs.gov","orcid":"https://orcid.org/0000-0002-3943-4194","contributorId":4947,"corporation":false,"usgs":true,"family":"Post van der Burg","given":"Max","email":"maxpostvanderburg@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":522742,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brunson, Mark","contributorId":65781,"corporation":false,"usgs":true,"family":"Brunson","given":"Mark","affiliations":[],"preferred":false,"id":525134,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70114858,"text":"70114858 - 2014 - Occurrence of contaminants of emerging concern along the California coast (2009-10) using passive sampling devices","interactions":[],"lastModifiedDate":"2017-10-30T11:31:38","indexId":"70114858","displayToPublicDate":"2014-04-01T10:10:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Occurrence of contaminants of emerging concern along the California coast (2009-10) using passive sampling devices","docAbstract":"Three passive sampling devices (PSDs), polar organic chemical integrative samplers (POCIS), polyethylene devices (PEDs), and solid-phase microextraction (SPME) samplers were used to sample a diverse set of chemicals in the coastal waters of San Francisco Bay and the Southern California Bight. Seventy one chemicals (including fragrances, phosphate flame retardants, pharmaceuticals, PAHs, PCBs, PBDEs, and pesticides) were measured in at least 50% of the sites. The chemical profile from the San Francisco Bay sites was distinct from profiles from the sites in the Southern California Bight. This distinction was not due to a single compound or class, but by the relative abundances/concentrations of the chemicals. Comparing the PSDs to mussel (Mytilus spp.) tissues, a positive correlation exists for the 25 and 26 chemicals in common for the PEDs and SPME, respectively. Diphenhydramine was the only common chemical out of 40 analyzed in both POCIS and tissues detected at a common site.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2013.04.022","usgsCitation":"Alvarez, D., Maruya, K.A., Dodder, N.G., Lao, W., Furlong, E.T., and Smalling, K., 2014, Occurrence of contaminants of emerging concern along the California coast (2009-10) using passive sampling devices: Marine Pollution Bulletin, v. 81, no. 2, p. 347-354, https://doi.org/10.1016/j.marpolbul.2013.04.022.","productDescription":"8 p.","startPage":"347","endPage":"354","numberOfPages":"8","temporalStart":"2009-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-042349","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":289127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.01 ], [ -114.13,42.01 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"81","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae778be4b0abf75cf2c179","contributors":{"authors":[{"text":"Alvarez, David A.","contributorId":72755,"corporation":false,"usgs":true,"family":"Alvarez","given":"David A.","affiliations":[],"preferred":false,"id":495416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maruya, Keith A.","contributorId":85094,"corporation":false,"usgs":true,"family":"Maruya","given":"Keith","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":495417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dodder, Nathan G.","contributorId":15528,"corporation":false,"usgs":true,"family":"Dodder","given":"Nathan","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":495413,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lao, Wenjian","contributorId":28531,"corporation":false,"usgs":true,"family":"Lao","given":"Wenjian","email":"","affiliations":[],"preferred":false,"id":495415,"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":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"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}],"preferred":true,"id":495412,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smalling, Kelly L.","contributorId":16105,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[],"preferred":false,"id":495414,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70134514,"text":"70134514 - 2014 - Mineralogical, chemical and K-Ar isotopic changes in Kreyenhagen Shale whole rocks and <2 µm clay fractions during natural burial and hydrous-pyrolysis experimental maturation","interactions":[],"lastModifiedDate":"2014-12-11T10:43:25","indexId":"70134514","displayToPublicDate":"2014-04-01T10:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Mineralogical, chemical and K-Ar isotopic changes in Kreyenhagen Shale whole rocks and <2 µm clay fractions during natural burial and hydrous-pyrolysis experimental maturation","docAbstract":"Progressive maturation of the Eocene Kreyenhagen Shale from the San Joaquin Basin of California was studied by combining mineralogical and chemical analyses with K–Ar dating of whole rocks and <2 μm clay fractions from naturally buried samples and laboratory induced maturation by hydrous pyrolysis of an immature outcrop sample. The K–Ar age decreases from 89.9 ± 3.9 and 72.4 ± 4.2 Ma for the outcrop whole rock and its <2 μm fraction, respectively, to 29.7 ± 1.5 and 21.0 ± 0.7 Ma for the equivalent materials buried to 5167 m. The natural maturation does not produce K–Ar ages in the historical sense, but rather K/Ar ratios of relative K and radiogenic 40Ar amounts resulting from a combined crystallization of authigenic and alteration of initial detrital K-bearing minerals of the rocks. The Al/K ratio of the naturally matured rocks is essentially constant for the entire depth sequence, indicating that there is no detectable variation in the crystallo-chemical organization of the K-bearing alumino-silicates with depth. No supply of K from outside of the rock volumes occurred, which indicates a closed-system behavior for it. Conversely, the content of the total organic carbon (TOC) content decreases significantly with burial, based on the progressive increasing Al/TOC ratio of the whole rocks. The initial varied mineralogy and chemistry of the rocks and their <2 μm fractions resulting from differences in detrital sources and depositional settings give scattered results that homogenize progressively during burial due to increased authigenesis, and concomitant increased alteration of the detrital material.
\nHydrous pyrolysis was intended to alleviate the problem of mineral and chemical variations in initially deposited rocks of naturally matured sequences. However, experiments on aliquots from thermally immature Kreyenhagen Shale outcrop sample did not mimic the results from naturally buried samples. Experiments conducted for 72 h at temperatures from 270 to 365 °C did not induce significant changes at temperatures above 310 °C in the mineralogical composition and K–Ar ages of the rock and <2 μm fraction. The K–Ar ages of the <2 μm fraction range from 72.4 ± 4.2 Ma in the outcrop sample to 62.4 ± 3.4 Ma in the sample heated the most at 365 °C for 216 h. This slight decrease in age outlines some loss of radiogenic 40Ar, together with losses of organic matter as oil, gas, and aqueous organic species.
\nLarge amounts of smectite layers in the illite–smectite mixed layers of the pyrolyzed outcrop <2 μm fraction remain during thermal experiments, especially above 310 °C. With no illitization detected above 310 °C, smectite appears to have inhibited rather than promoted generation of expelled oil from decomposition of bitumen. This hindrance is interpreted to result from bitumen impregnating the smectite interlayer sites and rock matrix. Bitumen remains in the <2 μm fraction despite leaching with H2O2. Its presence in the smectite interlayers is apparent by the inability of the clay fraction to fully expand or collapse once bitumen generation from the thermal decomposition of the kerogen is completed, and by almost invariable K–Ar ages confirming for the lack of any K supply and/or radiogenic 40Ar removal. This suggests that once bitumen impregnates the porosity of a progressively maturing source rock, the pore system is no longer wetted by water and smectite to illite conversion ceases. Experimental attempts to evaluate the smectite conversion to illite should preferentially use low-TOC rocks to avoid inhibition of the reaction by bitumen impregnation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2014.01.007","usgsCitation":"Clauer, N., Lewan, M., Dolan, M.P., Chaudhuri, S., and Curtis, J.B., 2014, Mineralogical, chemical and K-Ar isotopic changes in Kreyenhagen Shale whole rocks and <2 µm clay fractions during natural burial and hydrous-pyrolysis experimental maturation: Geochimica et Cosmochimica Acta, v. 130, p. 93-112, https://doi.org/10.1016/j.gca.2014.01.007.","productDescription":"20 p.","startPage":"93","endPage":"112","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045134","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":296612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.5087890625,\n 35.10193405724606\n ],\n [\n -121.5087890625,\n 37.77071473849609\n ],\n [\n -118.01513671875,\n 37.77071473849609\n ],\n [\n -118.01513671875,\n 35.10193405724606\n ],\n [\n -121.5087890625,\n 35.10193405724606\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"130","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"548ace3fe4b00f366bee37c0","contributors":{"authors":[{"text":"Clauer, Norbert","contributorId":79664,"corporation":false,"usgs":false,"family":"Clauer","given":"Norbert","email":"","affiliations":[],"preferred":false,"id":526125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewan, Michael D. mlewan@usgs.gov","contributorId":940,"corporation":false,"usgs":true,"family":"Lewan","given":"Michael D.","email":"mlewan@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":526123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dolan, Michael P.","contributorId":12880,"corporation":false,"usgs":false,"family":"Dolan","given":"Michael","email":"","middleInitial":"P.","affiliations":[{"id":7104,"text":"Dolan Integration Group, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":526127,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chaudhuri, Sambhudas","contributorId":21708,"corporation":false,"usgs":false,"family":"Chaudhuri","given":"Sambhudas","email":"","affiliations":[],"preferred":false,"id":526124,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Curtis, John B.","contributorId":70972,"corporation":false,"usgs":false,"family":"Curtis","given":"John","email":"","middleInitial":"B.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":526126,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70129607,"text":"70129607 - 2014 - Capturing interactions between nitrogen and hydrological cycles under historical climate and land use: Susquehanna watershed analysis with the GFDL land model LM3-TAN","interactions":[],"lastModifiedDate":"2014-10-24T09:22:56","indexId":"70129607","displayToPublicDate":"2014-04-01T09:19:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Capturing interactions between nitrogen and hydrological cycles under historical climate and land use: Susquehanna watershed analysis with the GFDL land model LM3-TAN","docAbstract":"We developed a process model LM3-TAN to assess the combined effects of direct human influences and climate change on terrestrial and aquatic nitrogen (TAN) cycling. The model was developed by expanding NOAA's Geophysical Fluid Dynamics Laboratory land model LM3V-N of coupled terrestrial carbon and nitrogen (C-N) cycling and including new N cycling processes and inputs such as a soil denitrification, point N sources to streams (i.e., sewage), and stream transport and microbial processes. Because the model integrates ecological, hydrological, and biogeochemical processes, it captures key controls of the transport and fate of N in the vegetation–soil–river system in a comprehensive and consistent framework which is responsive to climatic variations and land-use changes. We applied the model at 1/8° resolution for a study of the Susquehanna River Basin. We simulated with LM3-TAN stream dissolved organic-N, ammonium-N, and nitrate-N loads throughout the river network, and we evaluated the modeled loads for 1986–2005 using data from 16 monitoring stations as well as a reported budget for the entire basin. By accounting for interannual hydrologic variability, the model was able to capture interannual variations of stream N loadings. While the model was calibrated with the stream N loads only at the last downstream Susquehanna River Basin Commission station Marietta (40°02' N, 76°32' W), it captured the N loads well at multiple locations within the basin with different climate regimes, land-use types, and associated N sources and transformations in the sub-basins. Furthermore, the calculated and previously reported N budgets agreed well at the level of the whole Susquehanna watershed. Here we illustrate how point and non-point N sources contributing to the various ecosystems are stored, lost, and exported via the river. Local analysis of six sub-basins showed combined effects of land use and climate on soil denitrification rates, with the highest rates in the Lower Susquehanna Sub-Basin (extensive agriculture; Atlantic coastal climate) and the lowest rates in the West Branch Susquehanna Sub-Basin (mostly forest; Great Lakes and Midwest climate). In the re-growing secondary forests, most of the N from non-point sources was stored in the vegetation and soil, but in the agricultural lands most N inputs were removed by soil denitrification, indicating that anthropogenic N applications could drive substantial increase of N2O emission, an intermediate of the denitrification process.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geosciences Union","doi":"10.5194/bg-11-5809-2014","usgsCitation":"Lee, M., Malyshev, S., Shevliakova, E., Milly, P., and Jaffe, P.R., 2014, Capturing interactions between nitrogen and hydrological cycles under historical climate and land use: Susquehanna watershed analysis with the GFDL land model LM3-TAN: Biogeosciences, v. 11, p. 5809-5826, https://doi.org/10.5194/bg-11-5809-2014.","productDescription":"18 p.","startPage":"5809","endPage":"5826","numberOfPages":"18","ipdsId":"IP-058259","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":473077,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-11-5809-2014","text":"Publisher Index Page"},{"id":295706,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295705,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/bg-11-5809-2014"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Susquehanna River","volume":"11","noUsgsAuthors":false,"publicationDate":"2014-10-20","publicationStatus":"PW","scienceBaseUri":"544b6a1ae4b03653c63fb1c3","contributors":{"authors":[{"text":"Lee, M.","contributorId":17932,"corporation":false,"usgs":true,"family":"Lee","given":"M.","affiliations":[],"preferred":false,"id":503907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Malyshev, S.","contributorId":58210,"corporation":false,"usgs":true,"family":"Malyshev","given":"S.","affiliations":[],"preferred":false,"id":503908,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shevliakova, E.","contributorId":69910,"corporation":false,"usgs":true,"family":"Shevliakova","given":"E.","affiliations":[],"preferred":false,"id":503909,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Milly, Paul C. D.","contributorId":100769,"corporation":false,"usgs":true,"family":"Milly","given":"Paul C. D.","affiliations":[],"preferred":false,"id":503911,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jaffe, P. R.","contributorId":96204,"corporation":false,"usgs":true,"family":"Jaffe","given":"P.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":503910,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70128273,"text":"70128273 - 2014 - Pesticide Toxicity Index: a tool for assessing potential toxicity of pesticide mixtures to freshwater aquatic organisms","interactions":[{"subject":{"id":77062,"text":"sir20065148 - 2006 - Pesticide toxicity index for freshwater aquatic organisms, 2nd edition","indexId":"sir20065148","publicationYear":"2006","noYear":false,"title":"Pesticide toxicity index for freshwater aquatic organisms, 2nd edition"},"predicate":"SUPERSEDED_BY","object":{"id":70128273,"text":"70128273 - 2014 - Pesticide Toxicity Index: a tool for assessing potential toxicity of pesticide mixtures to freshwater aquatic organisms","indexId":"70128273","publicationYear":"2014","noYear":false,"title":"Pesticide Toxicity Index: a tool for assessing potential toxicity of pesticide mixtures to freshwater aquatic organisms"},"id":1}],"lastModifiedDate":"2015-04-13T11:35:23","indexId":"70128273","displayToPublicDate":"2014-04-01T09:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Pesticide Toxicity Index: a tool for assessing potential toxicity of pesticide mixtures to freshwater aquatic organisms","docAbstract":"Pesticide mixtures are common in streams with agricultural or urban influence in the watershed. The Pesticide Toxicity Index (PTI) is a screening tool to assess potential aquatic toxicity of complex pesticide mixtures by combining measures of pesticide exposure and acute toxicity in an additive toxic-unit model. The PTI is determined separately for fish, cladocerans, and benthic invertebrates. This study expands the number of pesticides and degradates included in previous editions of the PTI from 124 to 492 pesticides and degradates, and includes two types of PTI for use in different applications, depending on study objectives. The Median-PTI was calculated from median toxicity values for individual pesticides, so is robust to outliers and is appropriate for comparing relative potential toxicity among samples, sites, or pesticides. The Sensitive-PTI uses the 5th percentile of available toxicity values, so is a more sensitive screening-level indicator of potential toxicity. PTI predictions of toxicity in environmental samples were tested using data aggregated from published field studies that measured pesticide concentrations and toxicity to Ceriodaphnia dubia in ambient stream water. C. dubia survival was reduced to ≤ 50% of controls in 44% of samples with Median-PTI values of 0.1–1, and to 0% in 96% of samples with Median-PTI values > 1. The PTI is a relative, but quantitative, indicator of potential toxicity that can be used to evaluate relationships between pesticide exposure and biological condition.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of The Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier Science","publisherLocation":"New York, NY","doi":"10.1016/j.scitotenv.2013.12.088","usgsCitation":"Nowell, L.H., Norman, J.E., Moran, P.W., Martin, J.D., and Stone, W.W., 2014, Pesticide Toxicity Index: a tool for assessing potential toxicity of pesticide mixtures to freshwater aquatic organisms: Science of the Total Environment, v. 476-477, p. 144-157, https://doi.org/10.1016/j.scitotenv.2013.12.088.","productDescription":"14 p.; appendixes","startPage":"144","endPage":"157","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046429","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":294975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294961,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.12.088"},{"id":294962,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S0048969713015714"},{"id":299606,"type":{"id":3,"text":"Appendix"},"url":"https://water.usgs.gov/nawqa/pnsp/pubs/Nowell2014_STOTEN_PTI/Nowell2014_SuppInfo_PTI.zip","text":"Appendixes A-D"}],"volume":"476-477","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"543500b4e4b0a4f4b46a23b7","contributors":{"authors":[{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":502792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Julia E. 0000-0002-2820-6225 jnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-2820-6225","contributorId":3832,"corporation":false,"usgs":true,"family":"Norman","given":"Julia","email":"jnorman@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502791,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Jeffrey D. 0000-0003-1994-5285 jdmartin@usgs.gov","orcid":"https://orcid.org/0000-0003-1994-5285","contributorId":1066,"corporation":false,"usgs":true,"family":"Martin","given":"Jeffrey","email":"jdmartin@usgs.gov","middleInitial":"D.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":502793,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stone, Wesley W. 0000-0003-0239-2063 wwstone@usgs.gov","orcid":"https://orcid.org/0000-0003-0239-2063","contributorId":1496,"corporation":false,"usgs":true,"family":"Stone","given":"Wesley","email":"wwstone@usgs.gov","middleInitial":"W.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":502794,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70124550,"text":"70124550 - 2014 - Behavioural cues surpass habitat factors in explaining prebreeding resource selection by a migratory diving duck","interactions":[],"lastModifiedDate":"2018-10-11T16:43:00","indexId":"70124550","displayToPublicDate":"2014-04-01T07:48:05","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":770,"text":"Animal Behaviour","active":true,"publicationSubtype":{"id":10}},"title":"Behavioural cues surpass habitat factors in explaining prebreeding resource selection by a migratory diving duck","docAbstract":"Prebreeding habitat selection in birds can often be explained in part by habitat characteristics. However, females may also select habitats on the basis of fidelity to areas of previous reproductive success or use by conspecifics. The relative influences of sociobehavioural attributes versus habitat characteristics in habitat selection has been primarily investigated in songbirds, while less is known about how these factors affect habitat selection processes in migratory waterfowl. Animal resource selection models often exhibit much unexplained variation; spatial patterns driven by social and behavioural characteristics may account for some of this. We radiomarked female lesser scaup, Aythya affinis, in the southwestern extent of their breeding range to explore hypotheses regarding relative roles of habitat quality, site fidelity and conspecific density in prebreeding habitat selection. We used linear mixed-effects models to relate intensity of use within female home ranges to habitat features, distance to areas of reproductive success during the previous breeding season and conspecific density. Home range habitats included shallow water (≤118 cm), moderate to high densities of flooded emergent vegetation/open water edge and open water areas with submerged aquatic vegetation. Compared with habitat features, conspecific female density and proximity to successful nesting habitats from the previous breeding season had greater influences on habitat use within home ranges. Fidelity and conspecific attraction are behavioural characteristics in some waterfowl species that may exert a greater influence than habitat features in influencing prebreeding space use and habitat selection within home ranges, particularly where quality habitat is abundant. These processes may be of critical importance to a better understanding of habitat selection in breeding birds.","language":"English","publisher":"Elsevier","doi":"10.1016/j.anbehav.2014.01.004","usgsCitation":"O’Neil, S.T., Warren, J.M., Takekawa, J.Y., De La Cruz, S.E., Cutting, K.A., Parker, M.W., and Yee, J.L., 2014, Behavioural cues surpass habitat factors in explaining prebreeding resource selection by a migratory diving duck: Animal Behaviour, v. 90, p. 21-29, https://doi.org/10.1016/j.anbehav.2014.01.004.","productDescription":"9 p.","startPage":"21","endPage":"29","numberOfPages":"9","ipdsId":"IP-051708","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":293793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293789,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.anbehav.2014.01.004"}],"country":"United States","state":"Montana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.907962,44.577373 ], [ -111.907962,44.715944 ], [ -111.582843,44.715944 ], [ -111.582843,44.577373 ], [ -111.907962,44.577373 ] ] ] } } ] }","volume":"90","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54140b1ce4b082fed288b8f5","contributors":{"authors":[{"text":"O’Neil, Shawn T.","contributorId":62533,"corporation":false,"usgs":true,"family":"O’Neil","given":"Shawn","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":500905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warren, Jeffrey M.","contributorId":16297,"corporation":false,"usgs":true,"family":"Warren","given":"Jeffrey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":500902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":500900,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"De La Cruz, Susan E. W. 0000-0001-6315-0864 sdelacruz@usgs.gov","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":76239,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"sdelacruz@usgs.gov","middleInitial":"E. W.","affiliations":[],"preferred":false,"id":500906,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cutting, Kyle A.","contributorId":44479,"corporation":false,"usgs":true,"family":"Cutting","given":"Kyle","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":500904,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parker, Michael W.","contributorId":24297,"corporation":false,"usgs":true,"family":"Parker","given":"Michael","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":500903,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500901,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70148144,"text":"70148144 - 2014 - American shad migratory behavior, weight loss, survival, and abundance in a North Carolina River following dam removals","interactions":[],"lastModifiedDate":"2015-05-27T13:47:35","indexId":"70148144","displayToPublicDate":"2014-04-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"American shad migratory behavior, weight loss, survival, and abundance in a North Carolina River following dam removals","docAbstract":"Despite extensive management and research, populations of American Shad Alosa sapidissima have experienced prolonged declines, and uncertainty about the underlying mechanisms causing these declines remains. In the springs of 2007 through 2010, we used a resistance board weir and PIT technology to capture, tag, and track American Shad in the Little River, North Carolina, a tributary to the Neuse River with complete and partial removals of low-head dams. Our objectives were to examine migratory behaviors and estimate weight loss, survival, and abundance during each spawning season. Males typically immigrated earlier than females and also used upstream habitat at a higher percentage, but otherwise exhibited relatively similar migratory patterns. Proportional weight loss displayed a strong positive relationship with both cumulative water temperature during residence time and number of days spent upstream, and to a lesser extent, minimum distance the fish traveled in the river. Surviving emigrating males lost up to 30% of their initial weight and females lost up to 50% of their initial weight, indicating there are potential survival thresholds. Survival for the spawning season was low and estimates ranged from 0.07 to 0.17; no distinct factors (e.g., sex, size, migration distance) that could contribute to survival were detected. Sampled and estimated American Shad abundance increased from 2007 through 2009, but was lower in 2010. Our study provides substantial new information about American Shad spawning that may aid restoration efforts.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2014.882410","usgsCitation":"Raabe, J.K., and Hightower, J.E., 2014, American shad migratory behavior, weight loss, survival, and abundance in a North Carolina River following dam removals: Transactions of the American Fisheries Society, v. 143, no. 3, p. 673-688, https://doi.org/10.1080/00028487.2014.882410.","productDescription":"16 p.","startPage":"673","endPage":"688","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050974","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300864,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Little River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.20686340332031,\n 35.60288130725417\n ],\n [\n -78.19244384765625,\n 35.58166340367189\n ],\n [\n -78.17562103271484,\n 35.572448615622804\n ],\n [\n -78.16497802734375,\n 35.563512051219696\n ],\n [\n -78.16978454589842,\n 35.554015859485595\n ],\n [\n -78.17150115966797,\n 35.54619462154643\n ],\n [\n -78.1680679321289,\n 35.538093249404184\n ],\n [\n -78.17150115966797,\n 35.53166744135354\n ],\n [\n -78.17081451416016,\n 35.52244690472594\n ],\n [\n -78.16497802734375,\n 35.518534841844364\n ],\n [\n -78.17218780517578,\n 35.515740394479316\n ],\n [\n -78.17699432373047,\n 35.50847437608772\n ],\n [\n -78.17047119140625,\n 35.498971667611976\n ],\n [\n -78.16463470458984,\n 35.49785362799176\n ],\n [\n -78.15845489501953,\n 35.50120770016921\n ],\n [\n -78.15364837646484,\n 35.496456056584165\n ],\n [\n -78.15502166748047,\n 35.48779057119978\n ],\n [\n -78.13304901123047,\n 35.46570333507351\n ],\n [\n -78.12755584716797,\n 35.46598295825904\n ],\n [\n -78.11588287353516,\n 35.46290704974907\n ],\n [\n -78.10386657714844,\n 35.458153141593264\n ],\n [\n -78.0963134765625,\n 35.46039030983905\n ],\n [\n -78.08738708496094,\n 35.4508819151422\n ],\n [\n -78.06541442871094,\n 35.443050628750456\n ],\n [\n -78.06129455566406,\n 35.449483527031475\n ],\n [\n -78.057861328125,\n 35.449483527031475\n ],\n [\n -78.05477142333984,\n 35.43913469980961\n ],\n [\n -78.04378509521484,\n 35.441372396815304\n ],\n [\n -78.035888671875,\n 35.44500852178629\n ],\n [\n -78.03279876708984,\n 35.43913469980961\n ],\n [\n -78.02799224853516,\n 35.43381992014202\n ],\n [\n -78.0197525024414,\n 35.431582013221295\n ],\n [\n -78.02215576171875,\n 35.42626673502823\n ],\n [\n -78.0197525024414,\n 35.420111764144515\n ],\n [\n -78.01116943359375,\n 35.4159149234562\n ],\n [\n -78.0087661743164,\n 35.41227748469718\n ],\n [\n -78.01528930664062,\n 35.41003897923532\n ],\n [\n -78.02696228027344,\n 35.40724075997159\n ],\n [\n -78.03314208984375,\n 35.403882768619475\n ],\n [\n -78.03348541259766,\n 35.3960469114653\n ],\n [\n -78.02970886230467,\n 35.38429169786879\n ],\n [\n -78.02799224853516,\n 35.37981307060428\n ],\n [\n -78.02936553955077,\n 35.37477431775729\n ],\n [\n -78.02112579345703,\n 35.375334194722704\n ],\n [\n -78.01700592041016,\n 35.380372912608856\n ],\n [\n -78.01769256591797,\n 35.38653091826541\n ],\n [\n -78.02043914794922,\n 35.39296833065277\n ],\n [\n -78.02043914794922,\n 35.399405229214004\n ],\n [\n -78.01563262939453,\n 35.40220372048504\n ],\n [\n -78.00670623779297,\n 35.401644030002146\n ],\n [\n -78.00636291503905,\n 35.40584161390886\n ],\n [\n -78.00052642822266,\n 35.41003897923532\n ],\n [\n -77.99915313720703,\n 35.423469079290605\n ],\n [\n -78.01116943359375,\n 35.42486791930558\n ],\n [\n -78.00945281982422,\n 35.42738577011564\n ],\n [\n -78.01116943359375,\n 35.43745638623712\n ],\n [\n -78.02146911621092,\n 35.44109268809115\n ],\n [\n -78.02661895751953,\n 35.4433303306713\n ],\n [\n -78.0307388305664,\n 35.45172093634465\n ],\n [\n -78.0410385131836,\n 35.453119285575234\n ],\n [\n -78.04859161376953,\n 35.447525742853344\n ],\n [\n -78.05065155029297,\n 35.447805429223266\n ],\n [\n -78.05065155029297,\n 35.45591591113412\n ],\n [\n -78.05923461914062,\n 35.45899208697615\n ],\n [\n -78.06781768798828,\n 35.458153141593264\n ],\n [\n -78.07296752929688,\n 35.45591591113412\n ],\n [\n -78.07193756103516,\n 35.451441263582495\n ],\n [\n -78.07846069335938,\n 35.45703453414025\n ],\n [\n -78.08429718017577,\n 35.458153141593264\n ],\n [\n -78.0849838256836,\n 35.46710144127944\n ],\n [\n -78.09219360351561,\n 35.46961797120201\n ],\n [\n -78.101806640625,\n 35.46849952318069\n ],\n [\n -78.10626983642578,\n 35.46626258047241\n ],\n [\n -78.10970306396484,\n 35.46794029333679\n ],\n [\n -78.11141967773438,\n 35.476048745444416\n ],\n [\n -78.11965942382812,\n 35.47800583551617\n ],\n [\n -78.12137603759766,\n 35.474371201749165\n ],\n [\n -78.12755584716797,\n 35.47660791889787\n ],\n [\n -78.13133239746094,\n 35.47660791889787\n ],\n [\n -78.14609527587889,\n 35.488629207403235\n ],\n [\n -78.1467819213867,\n 35.49925117508564\n ],\n [\n -78.14952850341797,\n 35.506238545834904\n ],\n [\n -78.15467834472655,\n 35.50987173838399\n ],\n [\n -78.15467834472655,\n 35.51825540148536\n ],\n [\n -78.16154479980469,\n 35.528594046864725\n ],\n [\n -78.16291809082031,\n 35.53278501016141\n ],\n [\n -78.15536499023438,\n 35.540328192421704\n ],\n [\n -78.15811157226562,\n 35.54423919285255\n ],\n [\n -78.1509017944336,\n 35.55373654269702\n ],\n [\n -78.15605163574219,\n 35.55485380401207\n ],\n [\n -78.14987182617188,\n 35.56183633443312\n ],\n [\n -78.15742492675781,\n 35.56881825654513\n ],\n [\n -78.15673828125,\n 35.576916524038616\n ],\n [\n -78.15433502197264,\n 35.58501397284422\n ],\n [\n -78.16223144531249,\n 35.587806006729444\n ],\n [\n -78.17218780517578,\n 35.58278027563934\n ],\n [\n -78.17596435546875,\n 35.58278027563934\n ],\n [\n -78.1732177734375,\n 35.591156318876756\n ],\n [\n -78.1783676147461,\n 35.59311060288303\n ],\n [\n -78.18283081054688,\n 35.59031875398378\n ],\n [\n -78.19278717041016,\n 35.596181524214686\n ],\n [\n -78.1955337524414,\n 35.60204386504707\n ],\n [\n -78.19793701171875,\n 35.60539358129148\n ],\n [\n -78.20686340332031,\n 35.60288130725417\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"143","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-29","publicationStatus":"PW","scienceBaseUri":"5566eabae4b0d9246a9ec2cf","contributors":{"authors":[{"text":"Raabe, Joshua K.","contributorId":140952,"corporation":false,"usgs":false,"family":"Raabe","given":"Joshua","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":547776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hightower, Joseph E. jhightower@usgs.gov","contributorId":835,"corporation":false,"usgs":true,"family":"Hightower","given":"Joseph","email":"jhightower@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547481,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70180391,"text":"70180391 - 2014 - Infiltration and runoff generation processes in fire-affected soils","interactions":[],"lastModifiedDate":"2017-01-30T09:34:05","indexId":"70180391","displayToPublicDate":"2014-04-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Infiltration and runoff generation processes in fire-affected soils","docAbstract":"Post-wildfire runoff was investigated by combining field measurements and modelling of infiltration into fire-affected soils to predict time-to-start of runoff and peak runoff rate at the plot scale (1 m2). Time series of soil-water content, rainfall and runoff were measured on a hillslope burned by the 2010 Fourmile Canyon Fire west of Boulder, Colorado during cyclonic and convective rainstorms in the spring and summer of 2011. Some of the field measurements and measured soil physical properties were used to calibrate a one-dimensional post-wildfire numerical model, which was then used as a ‘virtual instrument’ to provide estimates of the saturated hydraulic conductivity and high-resolution (1 mm) estimates of the soil-water profile and water fluxes within the unsaturated zone.
Field and model estimates of the wetting-front depth indicated that post-wildfire infiltration was on average confined to shallow depths less than 30 mm. Model estimates of the effective saturated hydraulic conductivity, Ks, near the soil surface ranged from 0.1 to 5.2 mm h−1. Because of the relatively small values of Ks, the time-to-start of runoff (measured from the start of rainfall), tp, was found to depend only on the initial soil-water saturation deficit (predicted by the model) and a measured characteristic of the rainfall profile (referred to as the average rainfall acceleration, equal to the initial rate of change in rainfall intensity). An analytical model was developed from the combined results and explained 92–97% of the variance of tp, and the numerical infiltration model explained 74–91% of the variance of the peak runoff rates. These results are from one burned site, but they strongly suggest that tp in fire-affected soils (which often have low values of Ks) is probably controlled more by the storm profile and the initial soil-water saturation deficit than by soil hydraulic properties.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.9857","usgsCitation":"Moody, J.A., and Ebel, B.A., 2014, Infiltration and runoff generation processes in fire-affected soils: Hydrological Processes, v. 28, no. 9, p. 3432-3453, https://doi.org/10.1002/hyp.9857.","productDescription":"22 p.","startPage":"3432","endPage":"3453","ipdsId":"IP-042432","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":334278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-06-18","publicationStatus":"PW","scienceBaseUri":"58905ef1e4b072a7ac0cad39","contributors":{"authors":[{"text":"Moody, John A. 0000-0003-2609-364X jamoody@usgs.gov","orcid":"https://orcid.org/0000-0003-2609-364X","contributorId":771,"corporation":false,"usgs":true,"family":"Moody","given":"John","email":"jamoody@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":661507,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ebel, Brian A. 0000-0002-5413-3963 bebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":2557,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian","email":"bebel@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":661508,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ]}