{"pageNumber":"136","pageRowStart":"3375","pageSize":"25","recordCount":68802,"records":[{"id":70236810,"text":"70236810 - 2022 - Potential health effects of contaminant mixtures from point and nonpoint sources on fish and frogs in the New Jersey Pinelands","interactions":[],"lastModifiedDate":"2022-09-20T11:01:50.822378","indexId":"70236810","displayToPublicDate":"2022-09-19T10:34:03","publicationYear":"2022","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":"Potential health effects of contaminant mixtures from point and nonpoint sources on fish and frogs in the New Jersey Pinelands","docAbstract":"Aquatic ecosystems convey complex contaminant mixtures from anthropogenic pollution on a global scale. Point (e.g., municipal wastewater) and nonpoint sources (e.g., stormwater runoff) are both drivers of contaminant mixtures in aquatic habitats. The objectives of this study were to identify the contaminant mixtures present in surface waters impacted by both point and nonpoint sources, to determine if aquatic biota (amphibian and fish) health effects (testicular oocytes and parasites) occurred at these sites, and to understand if differences in biological and chemical measures existed between point (on-stream) and nonpoint sources (off-stream). To accomplish this, water chemistry, fishes, and frogs were collected from 21 sites in the New Jersey Pinelands, United States. Off-stream sites consisted of 3 reference and 10 degraded wetlands. On-stream sites consisted of two reference lakes and six degraded steams/lakes (four sites above and two sites below wastewater outfalls). Surface water was collected 4 times at each site and analyzed for 133 organic and inorganic contaminants. One native and five non-native fish species were collected from streams/lakes and native green frogs from wetlands (ponds and stormwater basins). Limited differences in contaminant concentrations were observed in reference and degraded wetlands but for streams/lakes, results indicated that landscape alteration, (upland agricultural and developed land) was the primary driver of contaminant concentrations rather than municipal wastewater. Incidence of estrogenic endocrine disruption (intersex) was species dependent with the highest prevalence observed in largemouth bass and black crappie and the lowest prevalence observed in green frogs and tessellated darters. Parasite prevalence was site and species dependent. Prevalence of eye parasites increased with increasing concentrations of industrial, mycotoxin, and cumulative inorganic contaminants. These findings are critical to support the conservation, protection, and management of a wide range of aquatic species in the Pinelands and elsewhere as habitat loss, alteration, and fragmentation increase with increasing development.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2022.158205","usgsCitation":"Breitmeyer, S.E., Walsh, H.L., Blazer, V., Bunnell, J.F., Burritt, P.M., Dragon, J., Hladik, M.L., Bradley, P., Romanok, K., and Smalling, K., 2022, Potential health effects of contaminant mixtures from point and nonpoint sources on fish and frogs in the New Jersey Pinelands: Science of the Total Environment, v. 851, no. 1, 158205, 12 p., https://doi.org/10.1016/j.scitotenv.2022.158205.","productDescription":"158205, 12 p.","ipdsId":"IP-139853","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":488107,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2022.158205","text":"Publisher Index Page"},{"id":406972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"New Jersey Pinelands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.77294921875,\n 39.46164364205549\n ],\n [\n -73.90502929687499,\n 39.46164364205549\n ],\n [\n -73.90502929687499,\n 40.49291502689579\n ],\n [\n -74.77294921875,\n 40.49291502689579\n ],\n [\n -74.77294921875,\n 39.46164364205549\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"851","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Breitmeyer, Sara E. 0000-0003-0609-1559 sbreitmeyer@usgs.gov","orcid":"https://orcid.org/0000-0003-0609-1559","contributorId":172622,"corporation":false,"usgs":true,"family":"Breitmeyer","given":"Sara","email":"sbreitmeyer@usgs.gov","middleInitial":"E.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":852229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Heather L. 0000-0001-6392-4604 hwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":4696,"corporation":false,"usgs":true,"family":"Walsh","given":"Heather","email":"hwalsh@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":852230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":852231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bunnell, John F.","contributorId":204697,"corporation":false,"usgs":false,"family":"Bunnell","given":"John","email":"","middleInitial":"F.","affiliations":[{"id":36975,"text":"NJ Pinelands Commission","active":true,"usgs":false}],"preferred":false,"id":852232,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burritt, Patrick M.","contributorId":296366,"corporation":false,"usgs":false,"family":"Burritt","given":"Patrick","email":"","middleInitial":"M.","affiliations":[{"id":54857,"text":"New Jersey Pinelands Commission","active":true,"usgs":false}],"preferred":false,"id":852233,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dragon, Jeff","contributorId":296368,"corporation":false,"usgs":false,"family":"Dragon","given":"Jeff","affiliations":[{"id":54857,"text":"New Jersey Pinelands Commission","active":true,"usgs":false}],"preferred":false,"id":852234,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221087,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":852235,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bradley, Paul M. 0000-0001-7522-8606","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":221226,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul M.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":852236,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Romanok, Kristin M. 0000-0002-8472-8765","orcid":"https://orcid.org/0000-0002-8472-8765","contributorId":221227,"corporation":false,"usgs":true,"family":"Romanok","given":"Kristin M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":852237,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":214623,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":852238,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70236765,"text":"70236765 - 2022 - Categorizing active marine acoustic sources based on their potential to affect marine animals","interactions":[],"lastModifiedDate":"2022-09-19T14:53:20.144313","indexId":"70236765","displayToPublicDate":"2022-09-19T09:46:45","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2380,"text":"Journal of Marine Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Categorizing active marine acoustic sources based on their potential to affect marine animals","docAbstract":"

Marine acoustic sources are widely used for geophysical imaging, oceanographic sensing, and communicating with and tracking objects or robotic vehicles in the water column. Under the U.S. Marine Mammal Protection Act and similar regulations in several other countries, the impact of controlled acoustic sources is assessed based on whether the sound levels received by marine mammals meet the criteria for harassment that causes certain behavioral responses. This study describes quantitative factors beyond received sound levels that could be used to assess how marine species are affected by many commonly deployed marine acoustic sources, including airguns, high-resolution geophysical sources (e.g., multibeam echosounders, sidescan sonars, subbottom profilers, boomers, and sparkers), oceanographic instrumentation (e.g., acoustic doppler current profilers, split-beam fisheries sonars), and communication/tracking sources (e.g., acoustic releases and locators, navigational transponders). Using physical criteria about the sources, such as source level, transmission frequency, directionality, beamwidth, and pulse repetition rate, we divide marine acoustic sources into four tiers that could inform regulatory evaluation. Tier 1 refers to high-energy airgun surveys with a total volume larger than 1500 in3 (24.5 L) or arrays with more than 12 airguns, while Tier 2 covers the remaining low/intermediate energy airgun surveys. Tier 4 includes most high-resolution geophysical, oceanographic, and communication/tracking sources, which are considered unlikely to result in incidental take of marine mammals and therefore termed de minimis. Tier 3 covers most non-airgun seismic sources, which either have characteristics that do not meet the de minimis category (e.g., some sparkers) or could not be fully evaluated here (e.g., bubble guns, some boomers). We also consider the simultaneous use of multiple acoustic sources, discuss marine mammal field observations that are consistent with the de minimis designation for some acoustic sources, and suggest how to evaluate acoustic sources that are not explicitly considered here.

","language":"English","doi":"10.3390/jmse10091278","usgsCitation":"Ruppel, C.D., Weber, T., Staaterman, E., Labak, S., and Hart, P.E., 2022, Categorizing active marine acoustic sources based on their potential to affect marine animals: Journal of Marine Science and Engineering, v. 10, no. 9, 1278, 46 p., https://doi.org/10.3390/jmse10091278.","productDescription":"1278, 46 p.","ipdsId":"IP-127151","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":446395,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/jmse10091278","text":"Publisher Index Page"},{"id":406962,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"9","noUsgsAuthors":false,"publicationDate":"2022-09-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruppel, Carolyn D. 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":195778,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","email":"cruppel@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":852122,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weber, T.S.","contributorId":248735,"corporation":false,"usgs":false,"family":"Weber","given":"T.S.","email":"","affiliations":[{"id":49998,"text":"University of Rochester, Department of Earth and Environmental Science, New York,","active":true,"usgs":false}],"preferred":false,"id":852123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Staaterman, Erica","contributorId":296672,"corporation":false,"usgs":false,"family":"Staaterman","given":"Erica","email":"","affiliations":[{"id":25296,"text":"BOEM","active":true,"usgs":false}],"preferred":false,"id":852124,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Labak, Stanley","contributorId":245146,"corporation":false,"usgs":false,"family":"Labak","given":"Stanley","email":"","affiliations":[{"id":49093,"text":"Bureau of Ocean Energy Management,","active":true,"usgs":false}],"preferred":false,"id":852125,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":852126,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70236764,"text":"70236764 - 2022 - Comparative susceptibilities of selected California Chinook salmon and steelhead populations to isolates of L Genogroup Infectious Hematopoietic Necrosis Virus (IHNV)","interactions":[],"lastModifiedDate":"2022-09-19T13:15:31.160078","indexId":"70236764","displayToPublicDate":"2022-09-19T08:09:56","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5762,"text":"Animals","active":true,"publicationSubtype":{"id":10}},"title":"Comparative susceptibilities of selected California Chinook salmon and steelhead populations to isolates of L Genogroup Infectious Hematopoietic Necrosis Virus (IHNV)","docAbstract":"

Salmonid species demonstrate varied susceptibility to the viral pathogen infectious hematopoietic necrosis virus (IHNV). In California conservation hatcheries, juvenile Chinook salmon (Oncorhynchus tshawytscha) have experienced disease outbreaks due to L genogroup IHNV since the 1940s, while indigenous steelhead (anadromous O. mykiss) appear relatively resistant. To characterize factors contributing to the losses of California salmonid fish due to IHNV, three populations of Chinook salmon and two populations of steelhead native to California watersheds were compared in controlled waterborne challenges with California L genogroup IHNV isolates at viral doses of 104–106 pfu mL−1. Chinook salmon fry were moderately to highly susceptible (CPM = 47–87%) when exposed to subgroup LI and LII IHNV. Susceptibility to mortality decreased with increasing age and also with a higher temperature. Mortality for steelhead fry exposed to two IHNV isolates was low (CPM = 1.3–33%). There was little intraspecies variation in susceptibility among populations of Chinook salmon and no differences in virulence between viruses strains. Viral persistence was demonstrated by the isolation of low levels of infectious IHNV from the skin of two juvenile Chinook salmon at 215 d post exposure. The persistence of the virus among Chinook salmon used for stocking into Lake Oroville may be an explanation for the severe epidemics of IHN at the Feather River hatchery in 1998–2002.

","language":"English","publisher":"MDPI","doi":"10.3390/ani12131733","usgsCitation":"Bendorf, C.M., Yun, S.C., Kurath, G., and Hedrick, R.P., 2022, Comparative susceptibilities of selected California Chinook salmon and steelhead populations to isolates of L Genogroup Infectious Hematopoietic Necrosis Virus (IHNV): Animals, v. 12, no. 13, 1733, 16 p., https://doi.org/10.3390/ani12131733.","productDescription":"1733, 16 p.","ipdsId":"IP-141052","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":446405,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ani12131733","text":"Publisher Index Page"},{"id":406949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-122.421439,37.869969],[-122.41847,37.852721],[-122.434403,37.852434],[-122.446316,37.861046],[-122.430958,37.872242],[-122.421439,37.869969]]],[[[-122.3785,37.826505],[-122.377879,37.830648],[-122.369941,37.832137],[-122.358779,37.814278],[-122.362661,37.807577],[-122.372422,37.811301],[-122.3785,37.826505]]],[[[-120.248484,33.999329],[-120.230001,34.010136],[-120.19578,34.004284],[-120.167306,34.008219],[-120.147647,34.024831],[-120.140362,34.025974],[-120.115058,34.019866],[-120.090182,34.019806],[-120.073609,34.024477],[-120.057637,34.03734],[-120.043259,34.035806],[-120.050382,34.013331],[-120.046575,34.000002],[-120.011123,33.979894],[-119.978876,33.983081],[-119.979913,33.969623],[-119.97026,33.944359],[-120.017715,33.936366],[-120.048611,33.915775],[-120.098601,33.907853],[-120.121817,33.895712],[-120.168974,33.91909],[-120.224461,33.989059],[-120.248484,33.999329]]],[[[-119.789798,34.05726],[-119.755521,34.056716],[-119.712576,34.043265],[-119.686507,34.019805],[-119.637742,34.013178],[-119.612226,34.021256],[-119.604287,34.031561],[-119.608798,34.035245],[-119.59324,34.049625],[-119.5667,34.053452],[-119.52064,34.034262],[-119.542449,34.021082],[-119.547072,34.005469],[-119.560464,33.99553],[-119.575636,33.996009],[-119.596877,33.988611],[-119.662825,33.985889],[-119.721206,33.959583],[-119.742966,33.963877],[-119.758141,33.959212],[-119.842748,33.97034],[-119.873358,33.980375],[-119.884896,34.008814],[-119.876329,34.032087],[-119.916216,34.058351],[-119.923337,34.069361],[-119.919155,34.07728],[-119.912857,34.077508],[-119.857304,34.071298],[-119.825865,34.059794],[-119.818742,34.052997],[-119.789798,34.05726]]],[[[-120.46258,34.042627],[-120.440248,34.036918],[-120.415287,34.05496],[-120.403613,34.050442],[-120.390906,34.051994],[-120.368813,34.06778],[-120.370176,34.074907],[-120.362251,34.073056],[-120.354982,34.059256],[-120.36029,34.05582],[-120.358608,34.050235],[-120.346946,34.046576],[-120.331161,34.049097],[-120.302122,34.023574],[-120.317052,34.018837],[-120.347706,34.020114],[-120.35793,34.015029],[-120.409368,34.032198],[-120.427408,34.025425],[-120.454134,34.028081],[-120.465329,34.038448],[-120.46258,34.042627]]],[[[-118.524531,32.895488],[-118.535823,32.90628],[-118.551134,32.945155],[-118.573522,32.969183],[-118.586928,33.008281],[-118.596037,33.015357],[-118.606559,33.01469],[-118.605534,33.030999],[-118.594033,33.035951],[-118.57516,33.033961],[-118.569013,33.029151],[-118.559171,33.006291],[-118.540069,32.980933],[-118.496811,32.933847],[-118.369984,32.839273],[-118.353504,32.821962],[-118.356541,32.817311],[-118.379968,32.824545],[-118.394565,32.823978],[-118.425634,32.800595],[-118.44492,32.820593],[-118.496298,32.851572],[-118.507193,32.876264],[-118.524531,32.895488]]],[[[-118.500212,33.449592],[-118.477646,33.448392],[-118.445812,33.428907],[-118.423576,33.427258],[-118.382037,33.409883],[-118.370323,33.409285],[-118.365094,33.388374],[-118.310213,33.335795],[-118.303174,33.320264],[-118.305084,33.310323],[-118.325244,33.299075],[-118.374768,33.320065],[-118.440047,33.318638],[-118.465368,33.326056],[-118.48877,33.356649],[-118.478465,33.38632],[-118.48875,33.419826],[-118.515914,33.422417],[-118.52323,33.430733],[-118.53738,33.434608],[-118.563442,33.434381],[-118.60403,33.47654],[-118.54453,33.474119],[-118.500212,33.449592]]],[[[-119.543842,33.280329],[-119.528141,33.284929],[-119.465717,33.259239],[-119.429559,33.228167],[-119.444269,33.21919],[-119.476029,33.21552],[-119.545872,33.233406],[-119.564971,33.24744],[-119.578942,33.278628],[-119.562042,33.271129],[-119.543842,33.280329]]],[[[-122.289533,42.007764],[-121.035195,41.993323],[-120.001058,41.995139],[-119.995926,40.499901],[-120.005743,39.228664],[-120.001014,38.999574],[-119.333423,38.538328],[-118.714312,38.102185],[-117.875927,37.497267],[-117.244917,37.030244],[-116.488233,36.459097],[-115.852908,35.96966],[-115.102881,35.379371],[-114.633013,35.002085],[-114.629015,34.986148],[-114.634953,34.958918],[-114.629753,34.938684],[-114.635176,34.875003],[-114.623939,34.859738],[-114.586842,34.835672],[-114.57101,34.794294],[-114.552682,34.766871],[-114.516619,34.736745],[-114.470477,34.711368],[-114.452628,34.668546],[-114.451753,34.654321],[-114.441465,34.64253],[-114.438739,34.621455],[-114.424202,34.610453],[-114.429747,34.591734],[-114.422382,34.580711],[-114.405228,34.569637],[-114.380838,34.529724],[-114.378124,34.507288],[-114.386699,34.457911],[-114.375789,34.447798],[-114.335372,34.450038],[-114.32613,34.437251],[-114.294836,34.421389],[-114.286802,34.40534],[-114.264317,34.401329],[-114.226107,34.365916],[-114.199482,34.361373],[-114.176909,34.349306],[-114.157206,34.317862],[-114.138282,34.30323],[-114.134768,34.268965],[-114.139055,34.259538],[-114.159697,34.258242],[-114.223384,34.205136],[-114.229715,34.186928],[-114.254141,34.173831],[-114.287294,34.170529],[-114.320777,34.138635],[-114.353031,34.133121],[-114.366521,34.118575],[-114.390565,34.110084],[-114.411681,34.110031],[-114.43338,34.088413],[-114.43934,34.057893],[-114.434949,34.037784],[-114.438266,34.022609],[-114.46283,34.008421],[-114.46117,33.994687],[-114.499883,33.961789],[-114.522002,33.955623],[-114.535478,33.934651],[-114.533679,33.926072],[-114.508558,33.906098],[-114.518555,33.889847],[-114.50434,33.876882],[-114.503017,33.867998],[-114.514673,33.858638],[-114.52453,33.858477],[-114.529597,33.848063],[-114.520465,33.827778],[-114.527161,33.816191],[-114.504863,33.760465],[-114.504483,33.750998],[-114.512348,33.734214],[-114.496565,33.719155],[-114.494197,33.707922],[-114.495719,33.698454],[-114.523959,33.685879],[-114.531523,33.675108],[-114.525201,33.661583],[-114.530244,33.65014],[-114.526947,33.637534],[-114.529662,33.622794],[-114.524813,33.611351],[-114.540617,33.591412],[-114.5403,33.580615],[-114.524391,33.553683],[-114.558898,33.531819],[-114.560552,33.518272],[-114.569533,33.509219],[-114.591554,33.499443],[-114.622918,33.456561],[-114.627125,33.433554],[-114.635183,33.422726],[-114.652828,33.412922],[-114.687953,33.417944],[-114.701732,33.408388],[-114.725535,33.404056],[-114.708408,33.384147],[-114.698035,33.352442],[-114.707962,33.323421],[-114.731223,33.302434],[-114.723259,33.288079],[-114.684363,33.276025],[-114.672401,33.26047],[-114.689421,33.24525],[-114.674479,33.225504],[-114.678749,33.203448],[-114.675831,33.18152],[-114.679359,33.159519],[-114.703682,33.113769],[-114.706488,33.08816],[-114.68902,33.084036],[-114.686991,33.070969],[-114.674296,33.057171],[-114.673659,33.041897],[-114.662317,33.032671],[-114.64598,33.048903],[-114.618788,33.027202],[-114.589778,33.026228],[-114.575161,33.036542],[-114.52013,33.029984],[-114.502871,33.011153],[-114.492938,32.971781],[-114.476156,32.975168],[-114.467664,32.966861],[-114.469113,32.952673],[-114.48074,32.937027],[-114.47664,32.923628],[-114.462929,32.907944],[-114.468971,32.845155],[-114.494116,32.823288],[-114.510217,32.816417],[-114.530755,32.793485],[-114.532432,32.776923],[-114.526856,32.757094],[-114.539093,32.756949],[-114.539224,32.749812],[-114.564447,32.749554],[-114.564508,32.742298],[-114.581736,32.742321],[-114.581784,32.734946],[-114.612697,32.734516],[-114.618373,32.728245],[-114.688779,32.737675],[-114.701918,32.745548],[-114.719633,32.718763],[-116.04662,32.623353],[-117.124862,32.534156],[-117.136664,32.618754],[-117.168866,32.671952],[-117.196767,32.688851],[-117.213068,32.687751],[-117.236239,32.671353],[-117.246069,32.669352],[-117.25757,32.72605],[-117.25257,32.752949],[-117.25497,32.786948],[-117.26107,32.803148],[-117.280971,32.822247],[-117.28217,32.839547],[-117.27387,32.851447],[-117.26497,32.848947],[-117.25617,32.859447],[-117.25167,32.874346],[-117.25447,32.900146],[-117.28077,33.012343],[-117.315278,33.093504],[-117.328359,33.121842],[-117.362572,33.168437],[-117.469794,33.296417],[-117.50565,33.334063],[-117.547693,33.365491],[-117.59588,33.386629],[-117.607905,33.406317],[-117.645582,33.440728],[-117.684584,33.461927],[-117.691984,33.456627],[-117.715349,33.460556],[-117.726486,33.483427],[-117.784888,33.541525],[-117.814188,33.552224],[-117.840289,33.573523],[-117.87679,33.592322],[-117.927091,33.605521],[-117.940591,33.620021],[-118.000593,33.654319],[-118.029694,33.676418],[-118.088896,33.729817],[-118.132698,33.753217],[-118.180831,33.763072],[-118.187701,33.749218],[-118.181367,33.717367],[-118.207476,33.716905],[-118.258687,33.703741],[-118.317205,33.712818],[-118.360505,33.736817],[-118.385006,33.741417],[-118.396606,33.735917],[-118.411211,33.741985],[-118.428407,33.774715],[-118.405007,33.800215],[-118.394376,33.804289],[-118.392107,33.840915],[-118.460611,33.969111],[-118.482729,33.995912],[-118.519514,34.027509],[-118.543115,34.038508],[-118.569235,34.04164],[-118.609652,34.036424],[-118.668358,34.038887],[-118.706215,34.029383],[-118.744952,34.032103],[-118.783433,34.021543],[-118.805114,34.001239],[-118.854653,34.034215],[-118.928048,34.045847],[-118.938081,34.043383],[-119.004644,34.066231],[-119.037494,34.083111],[-119.088536,34.09831],[-119.109784,34.094566],[-119.130169,34.100102],[-119.18864,34.139005],[-119.216441,34.146105],[-119.257043,34.213304],[-119.278644,34.266902],[-119.290945,34.274902],[-119.313034,34.275689],[-119.337475,34.290576],[-119.370356,34.319486],[-119.388249,34.317398],[-119.42777,34.353016],[-119.461036,34.374064],[-119.536957,34.395495],[-119.559459,34.413395],[-119.616862,34.420995],[-119.638864,34.415696],[-119.671866,34.416096],[-119.688167,34.412497],[-119.684666,34.408297],[-119.709067,34.395397],[-119.729369,34.395897],[-119.794771,34.417597],[-119.835771,34.415796],[-119.853771,34.407996],[-119.873971,34.408795],[-119.925227,34.433931],[-119.956433,34.435288],[-120.008077,34.460447],[-120.038828,34.463434],[-120.088591,34.460208],[-120.141165,34.473405],[-120.25777,34.467451],[-120.295051,34.470623],[-120.341369,34.458789],[-120.471376,34.447846],[-120.47661,34.475131],[-120.511421,34.522953],[-120.581293,34.556959],[-120.622575,34.554017],[-120.637805,34.56622],[-120.645739,34.581035],[-120.640244,34.604406],[-120.60197,34.692095],[-120.60045,34.70464],[-120.614852,34.730709],[-120.62632,34.738072],[-120.637415,34.755895],[-120.616296,34.816308],[-120.610266,34.85818],[-120.616325,34.866739],[-120.639283,34.880413],[-120.647328,34.901133],[-120.670835,34.904115],[-120.63999,35.002963],[-120.629931,35.061515],[-120.630957,35.101941],[-120.644311,35.139616],[-120.651134,35.147768],[-120.662475,35.153357],[-120.675074,35.153061],[-120.698906,35.171192],[-120.714185,35.175998],[-120.74887,35.177795],[-120.754823,35.174701],[-120.756086,35.160459],[-120.760492,35.15971],[-120.778998,35.168897],[-120.786076,35.177666],[-120.856047,35.206487],[-120.89679,35.247877],[-120.862684,35.346776],[-120.866099,35.393045],[-120.884757,35.430196],[-120.907937,35.449069],[-120.946546,35.446715],[-120.969436,35.460197],[-121.003359,35.46071],[-121.101595,35.548814],[-121.126027,35.593058],[-121.143561,35.606046],[-121.166712,35.635399],[-121.251034,35.656641],[-121.284973,35.674109],[-121.289794,35.689428],[-121.314632,35.71331],[-121.315786,35.75252],[-121.332449,35.783106],[-121.388053,35.823483],[-121.413146,35.855316],[-121.439584,35.86695],[-121.462264,35.885618],[-121.461227,35.896906],[-121.472435,35.91989],[-121.4862,35.970348],[-121.503112,36.000299],[-121.531876,36.014368],[-121.574602,36.025156],[-121.590395,36.050363],[-121.592853,36.065062],[-121.606845,36.072065],[-121.618672,36.087767],[-121.629634,36.114452],[-121.680145,36.165818],[-121.717176,36.195146],[-121.779851,36.227407],[-121.797059,36.234211],[-121.813734,36.234235],[-121.826425,36.24186],[-121.851967,36.277831],[-121.874797,36.289064],[-121.888491,36.30281],[-121.894714,36.317806],[-121.892917,36.340428],[-121.905446,36.358269],[-121.903195,36.393603],[-121.914378,36.404344],[-121.91474,36.42589],[-121.9416,36.485602],[-121.938763,36.506423],[-121.944666,36.521861],[-121.925937,36.525173],[-121.932508,36.559935],[-121.942533,36.566435],[-121.957335,36.564482],[-121.978592,36.580488],[-121.970427,36.582754],[-121.941666,36.618059],[-121.93643,36.636746],[-121.923866,36.634559],[-121.890164,36.609259],[-121.889064,36.601759],[-121.860604,36.611136],[-121.831995,36.644856],[-121.814462,36.682858],[-121.807062,36.714157],[-121.805643,36.750239],[-121.788278,36.803994],[-121.809363,36.848654],[-121.862266,36.931552],[-121.894667,36.961851],[-121.930069,36.97815],[-121.95167,36.97145],[-121.972771,36.954151],[-122.012373,36.96455],[-122.023373,36.96215],[-122.027174,36.95115],[-122.050122,36.948523],[-122.105976,36.955951],[-122.155078,36.98085],[-122.20618,37.013949],[-122.252181,37.059448],[-122.284882,37.101747],[-122.306139,37.116383],[-122.337071,37.117382],[-122.337833,37.135936],[-122.359791,37.155574],[-122.367085,37.172817],[-122.390599,37.182988],[-122.405073,37.195791],[-122.407181,37.219465],[-122.419113,37.24147],[-122.411686,37.265844],[-122.40085,37.359225],[-122.423286,37.392542],[-122.443687,37.435941],[-122.452087,37.48054],[-122.472388,37.50054],[-122.493789,37.492341],[-122.499289,37.495341],[-122.516689,37.52134],[-122.519533,37.537302],[-122.513688,37.552239],[-122.517187,37.590637],[-122.501386,37.599637],[-122.494085,37.644035],[-122.496784,37.686433],[-122.514483,37.780829],[-122.50531,37.788312],[-122.485783,37.790629],[-122.478083,37.810828],[-122.463793,37.804653],[-122.407452,37.811441],[-122.398139,37.80563],[-122.385323,37.790724],[-122.375854,37.734979],[-122.356784,37.729505],[-122.361749,37.71501],[-122.370411,37.717572],[-122.391374,37.708331],[-122.387626,37.67906],[-122.374291,37.662206],[-122.3756,37.652389],[-122.387381,37.648462],[-122.386072,37.637662],[-122.35531,37.615736],[-122.358583,37.611155],[-122.373309,37.613773],[-122.378545,37.605592],[-122.360219,37.592501],[-122.317676,37.590865],[-122.305895,37.575484],[-122.262698,37.572866],[-122.214264,37.538505],[-122.196593,37.537196],[-122.194957,37.522469],[-122.168449,37.504143],[-122.155686,37.501198],[-122.140142,37.507907],[-122.127706,37.500053],[-122.111344,37.50758],[-122.111998,37.528851],[-122.147014,37.588411],[-122.145378,37.600846],[-122.152905,37.640771],[-122.163049,37.667933],[-122.246826,37.72193],[-122.257953,37.739601],[-122.257134,37.745001],[-122.242638,37.753744],[-122.253753,37.761218],[-122.293996,37.770416],[-122.330963,37.786035],[-122.33555,37.799538],[-122.333711,37.809797],[-122.323567,37.823214],[-122.303931,37.830087],[-122.301313,37.847758],[-122.310477,37.873938],[-122.309986,37.892755],[-122.32373,37.905845],[-122.33453,37.908791],[-122.35711,37.908791],[-122.367582,37.903882],[-122.385908,37.908136],[-122.39049,37.922535],[-122.413725,37.937262],[-122.430087,37.963115],[-122.415361,37.963115],[-122.399832,37.956009],[-122.367582,37.978168],[-122.361905,37.989991],[-122.367909,38.01253],[-122.340093,38.003694],[-122.321112,38.012857],[-122.300823,38.010893],[-122.283478,38.022674],[-122.262861,38.0446],[-122.273006,38.07438],[-122.314567,38.115287],[-122.366273,38.141467],[-122.39638,38.149976],[-122.403514,38.150624],[-122.409798,38.136231],[-122.439577,38.116923],[-122.454958,38.118887],[-122.489974,38.112014],[-122.483757,38.071762],[-122.499465,38.032165],[-122.497828,38.019402],[-122.481466,38.007621],[-122.462812,38.003367],[-122.452995,37.996167],[-122.448413,37.984713],[-122.456595,37.978823],[-122.471975,37.981768],[-122.488665,37.966714],[-122.487684,37.948716],[-122.479175,37.941516],[-122.48572,37.937589],[-122.499465,37.939225],[-122.503064,37.928753],[-122.478193,37.918608],[-122.471975,37.910427],[-122.472303,37.902573],[-122.458558,37.894064],[-122.448413,37.89341],[-122.438268,37.880974],[-122.45005,37.871157],[-122.462158,37.868866],[-122.480811,37.873448],[-122.479151,37.825428],[-122.505383,37.822128],[-122.548986,37.836227],[-122.561487,37.851827],[-122.584289,37.859227],[-122.60129,37.875126],[-122.656519,37.904519],[-122.682171,37.90645],[-122.70264,37.89382],[-122.727297,37.904626],[-122.736898,37.925825],[-122.766138,37.938004],[-122.783244,37.951334],[-122.797405,37.976657],[-122.821383,37.996735],[-122.856573,38.016717],[-122.882114,38.025273],[-122.939711,38.031908],[-122.956811,38.02872],[-122.981776,38.009119],[-122.97439,37.992429],[-123.024066,37.994878],[-123.011533,38.003438],[-122.99242,38.041758],[-122.960889,38.112962],[-122.949074,38.15406],[-122.953629,38.17567],[-122.965408,38.187113],[-122.968112,38.202428],[-122.993959,38.237602],[-122.968569,38.242879],[-122.967203,38.250691],[-122.977082,38.267902],[-122.986319,38.273164],[-123.002911,38.295708],[-123.024333,38.310573],[-123.038742,38.313576],[-123.051061,38.310693],[-123.053504,38.299385],[-123.063671,38.302178],[-123.074684,38.322574],[-123.068437,38.33521],[-123.068265,38.359865],[-123.128825,38.450418],[-123.202277,38.494314],[-123.249797,38.511045],[-123.287156,38.540223],[-123.331899,38.565542],[-123.343338,38.590008],[-123.371876,38.607235],[-123.398166,38.647044],[-123.441774,38.699744],[-123.461291,38.717001],[-123.514784,38.741966],[-123.541837,38.776764],[-123.579856,38.802835],[-123.58638,38.802857],[-123.605317,38.822765],[-123.647387,38.845472],[-123.659846,38.872529],[-123.71054,38.91323],[-123.725367,38.917438],[-123.726315,38.936367],[-123.738886,38.95412],[-123.729053,38.956667],[-123.711149,38.977316],[-123.6969,39.004401],[-123.690095,39.031157],[-123.693969,39.057363],[-123.713392,39.108422],[-123.721505,39.125327],[-123.737913,39.143442],[-123.742221,39.164885],[-123.765891,39.193657],[-123.774998,39.212083],[-123.777368,39.237214],[-123.787893,39.264327],[-123.803848,39.278771],[-123.803081,39.291747],[-123.811387,39.312825],[-123.808772,39.324368],[-123.822085,39.343857],[-123.826306,39.36871],[-123.81469,39.446538],[-123.766475,39.552803],[-123.787417,39.604552],[-123.782322,39.621486],[-123.792659,39.684122],[-123.808208,39.710715],[-123.829545,39.723071],[-123.838089,39.752409],[-123.839797,39.795637],[-123.851714,39.832041],[-123.907664,39.863028],[-123.930047,39.909697],[-123.954952,39.922373],[-123.980031,39.962458],[-124.035904,40.013319],[-124.056408,40.024305],[-124.068908,40.021307],[-124.079983,40.029773],[-124.080709,40.06611],[-124.110549,40.103765],[-124.187874,40.130542],[-124.214895,40.160902],[-124.296497,40.208816],[-124.320912,40.226617],[-124.327691,40.23737],[-124.34307,40.243979],[-124.363414,40.260974],[-124.363634,40.276212],[-124.347853,40.314634],[-124.362796,40.350046],[-124.365357,40.374855],[-124.373599,40.392923],[-124.391496,40.407047],[-124.409591,40.438076],[-124.38494,40.48982],[-124.383224,40.499852],[-124.387023,40.504954],[-124.382816,40.519],[-124.329404,40.61643],[-124.158322,40.876069],[-124.137066,40.925732],[-124.118147,40.989263],[-124.112165,41.028173],[-124.125448,41.048504],[-124.138217,41.054342],[-124.153622,41.05355],[-124.154513,41.087159],[-124.160556,41.099011],[-124.159065,41.121957],[-124.165414,41.129822],[-124.158539,41.143021],[-124.149674,41.140845],[-124.1438,41.144686],[-124.106986,41.229678],[-124.072294,41.374844],[-124.063076,41.439579],[-124.066057,41.470258],[-124.081427,41.511228],[-124.081987,41.547761],[-124.092404,41.553615],[-124.101123,41.569192],[-124.097385,41.585251],[-124.100961,41.602499],[-124.114413,41.616768],[-124.120225,41.640354],[-124.135552,41.657307],[-124.147412,41.717955],[-124.164716,41.740126],[-124.17739,41.745756],[-124.194953,41.736778],[-124.23972,41.7708],[-124.248704,41.771459],[-124.255994,41.783014],[-124.245027,41.7923],[-124.230678,41.818681],[-124.208439,41.888192],[-124.203402,41.940964],[-124.204948,41.983441],[-124.211605,41.99846],[-123.656998,41.995137],[-123.624554,41.999837],[-123.347562,41.999108],[-123.145959,42.009247],[-123.045254,42.003049],[-122.893961,42.002605],[-122.289533,42.007764]]]]},\"properties\":{\"name\":\"California\",\"nation\":\"USA \"}}]}","volume":"12","issue":"13","noUsgsAuthors":false,"publicationDate":"2022-07-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Bendorf, Christin M.","contributorId":296669,"corporation":false,"usgs":false,"family":"Bendorf","given":"Christin","email":"","middleInitial":"M.","affiliations":[{"id":64125,"text":"Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, California 95616 USA","active":true,"usgs":false}],"preferred":false,"id":852118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yun, Susan C.","contributorId":296670,"corporation":false,"usgs":false,"family":"Yun","given":"Susan","email":"","middleInitial":"C.","affiliations":[{"id":64125,"text":"Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, California 95616 USA","active":true,"usgs":false}],"preferred":false,"id":852119,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kurath, Gael 0000-0003-3294-560X","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":220175,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":852120,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hedrick, Ronald P.","contributorId":120917,"corporation":false,"usgs":false,"family":"Hedrick","given":"Ronald","email":"","middleInitial":"P.","affiliations":[{"id":6643,"text":"University of California - Berkeley","active":true,"usgs":false}],"preferred":false,"id":852121,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70236493,"text":"ofr20221049 - 2022 - Understanding the Avian-Impact Offset Method—A tutorial","interactions":[],"lastModifiedDate":"2022-09-20T10:54:26.893321","indexId":"ofr20221049","displayToPublicDate":"2022-09-19T07:22:59","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-1049","displayTitle":"Understanding the Avian-Impact Offset Method—A Tutorial","title":"Understanding the Avian-Impact Offset Method—A tutorial","docAbstract":"

Biodiversity offsetting, or compensatory mitigation, is increasingly being used in temperate grassland and wetland ecosystems to compensate for unavoidable environmental damage from anthropogenic disturbances such as energy development and road construction. Energy-extraction and -generation facilities continue to proliferate across the natural landscapes of the United States, yet mitigation tools to ameliorate the negative behavioral effects on wildlife from these types of facilities are rarely implemented. Scientists from the U.S. Geological Survey conducted a 10-year before-after-control-impact (commonly referred to as BACI) study that evaluated the displacement effects of wind facilities on breeding grassland birds. The study determined behavioral avoidance for 7 of 9 species. This research is notable because of its design, geographical scope, and duration, which allowed for the determination of immediate, short-term effects; delayed or sustained effects; and discrete distances at which effects occurred. In addition, the U.S. Fish and Wildlife Service and Ducks Unlimited conducted a 3-year concurrent-year paired-reference study to determine behavioral avoidance for five species of dabbling ducks. By quantifying displacement rate from these two studies, U.S. Geological Survey and U.S. Fish and Wildlife Service scientists developed the Avian-Impact Offset Method (AIOM) to quantify and compensate for loss in value of breeding habitat. The AIOM converts the biological value (that is, number of bird pairs) lost by way of avoidance and estimates the site-specific number of hectares of grasslands and number of wetlands needed to compensate for displaced pairs of grassland birds and waterfowl. By converting biological value to traditional units of measure in which land is described and purchased or sold, the AIOM lends itself readily to the delivery of offsetting measures such as easement protections and restoration projects. The AIOM tool is applicable to wind, solar, oil, gas, and transportation infrastructure.

This tutorial was designed to increase awareness of the AIOM and to promote its proper application. The tutorial is divided into four sections, each of which explains a discrete topic concerning aspects of behavioral displacement. The first section provides geographical and biological context, and the second section describes the field and statistical methods and results. The third section provides step-by-step instructions for applying the AIOM to several scenarios involving grassland birds or waterfowl at wind or oil facilities. The fourth section describes decision-support tools created to implement the AIOM. The appendices provide the actual field protocols constituting the methods for the research, provide detailed results by species and wind facility for that research, and provide detailed instructions for downloading and applying the decision-support tools.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221049","collaboration":"Prepared in collaboration with the U.S. Fish and Wildlife Service","usgsCitation":"Shaffer, J.A., Loesch, C.R., and Buhl, D.A., 2022, Understanding the Avian-Impact Offset Method—A tutorial: U.S. Geological Survey Open-File Report 2022–1049, 227 p., https://doi.org/10.3133/ofr20221049.","productDescription":"Report: v, 227 p.; 2 Data Releases","numberOfPages":"238","onlineOnly":"Y","ipdsId":"IP-134338","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":406394,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1049/coverthb.jpg"},{"id":406396,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9J6QUF6","text":"USGS data release","linkHelpText":"North American Breeding Bird Survey dataset 1966–2019"},{"id":406395,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1049/ofr20221049.pdf","text":"Report","size":"95.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022–1049"},{"id":406397,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7T43SDG","text":"USGS data release","linkHelpText":"Effects of wind-energy facilities on breeding grassland bird distributions"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.236328125,\n 52.10650519075632\n ],\n [\n -113.73046875,\n 52.16045455774706\n ],\n [\n -114.78515624999999,\n 51.17934297928927\n ],\n [\n -112.8515625,\n 48.922499263758255\n ],\n [\n -111.796875,\n 47.45780853075031\n ],\n [\n -107.40234375,\n 47.040182144806664\n ],\n [\n -103.798828125,\n 47.81315451752768\n ],\n [\n -102.39257812499999,\n 47.338822694822\n ],\n [\n -100.72265625,\n 45.82879925192134\n ],\n [\n -100.37109375,\n 44.5278427984555\n ],\n [\n -99.49218749999999,\n 43.32517767999296\n ],\n [\n -96.064453125,\n 41.96765920367816\n ],\n [\n -94.39453125,\n 42.87596410238256\n ],\n [\n -95.09765625,\n 45.644768217751924\n ],\n [\n -95.97656249999999,\n 49.03786794532644\n ],\n [\n -98.7890625,\n 50.45750402042058\n ],\n [\n -112.236328125,\n 52.10650519075632\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, ND 58401

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-09-19","noUsgsAuthors":false,"publicationDate":"2022-09-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Shaffer, Jill A. 0000-0003-3172-0708","orcid":"https://orcid.org/0000-0003-3172-0708","contributorId":214803,"corporation":false,"usgs":true,"family":"Shaffer","given":"Jill A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":851241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loesch, Charles R. 0000-0003-3090-1566","orcid":"https://orcid.org/0000-0003-3090-1566","contributorId":213437,"corporation":false,"usgs":false,"family":"Loesch","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":851242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buhl, Deborah A. 0000-0002-8563-5990 dbuhl@usgs.gov","orcid":"https://orcid.org/0000-0002-8563-5990","contributorId":146226,"corporation":false,"usgs":true,"family":"Buhl","given":"Deborah","email":"dbuhl@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":851243,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70259939,"text":"70259939 - 2022 - Eruptive history of Mason Spur, a Miocene—Pleistocene polygenetic volcanic complex in southern Victoria Land, West Antarctic Rift System, Antarctica","interactions":[],"lastModifiedDate":"2024-10-28T11:21:11.750474","indexId":"70259939","displayToPublicDate":"2022-09-19T06:19:35","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Eruptive history of Mason Spur, a Miocene—Pleistocene polygenetic volcanic complex in southern Victoria Land, West Antarctic Rift System, Antarctica","docAbstract":"

Mason Spur is a deeply eroded Middle Miocene to Pleistocene (c. 13 to 0.37 Ma) volcanic complex in southern Victoria Land, within the West Antarctic Rift System (WARS). The oldest rocks include a large volume of trachyte ignimbrites that provided abundant volcanic detritus recovered in McMurdo Sound drill cores. The ignimbrites together with early-formed intrusions were strongly deformed during a substantial caldera collapse at c. 13 Ma. Intense erosion modified the volcanic landscape, creating a paleo-relief of several hundred metres. Deep ravines were cut and filled by deposits of multiple lahars probably linked to gravitational collapses of trachyte dome(s). Small-volume trachytic magmas were also erupted, forming lavas and at least one tuff cone. The youngest trachytic activity comprises a lava dome and related block-and-ash-flow deposits, erupted at 6 Ma. Basanite erupted throughout the history of the complex and eruptions younger than 12 Ma are almost exclusively basanite, forming scoria cones, water-cooled lavas, and tuff cones. Three peripheral outcrops are composed of basanitic ‘a‘ā lava-fed deltas, probably erupted from vents on neighbouring volcanoes at Mount Discovery and Mount Morning. Abundant ignimbrite deposits at Mason Spur differentiate this volcanic complex from others in the WARS. Eruptions were triggered by rift extension initially, yielding the voluminous trachytes sourced from a magma chamber on the margin of the WARS. Later mafic eruptions were associated with deep crustal faults related to residual intraplate deformation. These results add important details to the eruptive history of the intracontinental WARS.

","language":"English","publisher":"Springer","doi":"10.1007/s00445-022-01601-4","usgsCitation":"Smellie, J.L., Di Vincenzo, G., Townsend, D.B., Heizler, M.T., and Ruth, D.C., 2022, Eruptive history of Mason Spur, a Miocene—Pleistocene polygenetic volcanic complex in southern Victoria Land, West Antarctic Rift System, Antarctica: Bulletin of Volcanology, v. 84, 93, 29 p., https://doi.org/10.1007/s00445-022-01601-4.","productDescription":"93, 29 p.","ipdsId":"IP-138505","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467163,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-022-01601-4","text":"Publisher Index Page"},{"id":463230,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica","volume":"84","noUsgsAuthors":false,"publicationDate":"2022-09-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Smellie, John L.","contributorId":140375,"corporation":false,"usgs":false,"family":"Smellie","given":"John","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":916896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Di Vincenzo, Gianfranco","contributorId":345554,"corporation":false,"usgs":false,"family":"Di Vincenzo","given":"Gianfranco","email":"","affiliations":[{"id":82626,"text":"Istituto di Geoscienze e Georisorse","active":true,"usgs":false}],"preferred":false,"id":916897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Townsend, Dougal B.","contributorId":345555,"corporation":false,"usgs":false,"family":"Townsend","given":"Dougal","email":"","middleInitial":"B.","affiliations":[{"id":36277,"text":"GNS Science","active":true,"usgs":false}],"preferred":false,"id":916898,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heizler, Matthew T.","contributorId":184261,"corporation":false,"usgs":false,"family":"Heizler","given":"Matthew","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":916899,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruth, Dawn Catherine Sweeney 0000-0001-9369-9364","orcid":"https://orcid.org/0000-0001-9369-9364","contributorId":334908,"corporation":false,"usgs":true,"family":"Ruth","given":"Dawn","email":"","middleInitial":"Catherine Sweeney","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":916900,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70236565,"text":"tm1D9 - 2022 - Quality assurance report for Loch Vale Watershed, 2010–19","interactions":[],"lastModifiedDate":"2022-09-19T11:04:42.849837","indexId":"tm1D9","displayToPublicDate":"2022-09-16T16:10:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1-D9","displayTitle":"Quality Assurance Report for Loch Vale Watershed, 2010–19","title":"Quality assurance report for Loch Vale Watershed, 2010–19","docAbstract":"

The Loch Vale Watershed Research and Monitoring Program collects long-term datasets of ecological and biogeochemical parameters in Rocky Mountain National Park to support both (1) management of this protected area and (2) research into watershed-scale ecosystem processes as those processes respond to atmospheric deposition and climate variability. The program collects data on precipitation depth and atmospheric deposition chemistry—as well as surface water biogeochemistry—within the watershed and in other areas of the park. These data are used by resource managers, scientists, policy makers, and students, so it is important that all collected data meet high quality standards. This report presents an evaluation of data quality for precipitation, atmospheric ammonia, and surface water quality samples collected from 2010 to 2019. This report also presents changes made to the monitoring and laboratory equipment used during the study period and describes new data streams added to the project, including atmospheric ammonia, surface water chlorophyll-a, and dissolved oxygen in two lakes: The Loch and Sky Pond.

Quality-assurance procedures looked at the accuracy and precision of measurements made over the study period and found that precipitation and surface water chemistry data were 99 percent accurate and precise. Records that failed to meet quality standards were removed from published databases. From 2010 to 2014, a colocated precipitation gauge and deposition collector were installed on site as quality checks. From 2014 to 2018, power loss at the site resulted in significant loss of precipitation data records during the snow seasons. Those problems were addressed by installing new solar-power equipment in 2019. Measurements of deposition chemistry, atmospheric ammonia deposition, and surface water biogeochemistry were all sufficiently complete and consistent to support project data needs.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm1D9","usgsCitation":"Weinmann, T., Baron, J.S., and Jayo, A., 2022, Quality assurance report for Loch Vale Watershed, 2010–19: U.S. Geological Survey Techniques and Methods 1–D9, 21 p., https://doi.org/10.3133/tm1D9.","productDescription":"Report: viii, 21 p.; Data Release; Database","onlineOnly":"Y","ipdsId":"IP-127394","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":406494,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/01/d9/coverthb.jpg"},{"id":406495,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/01/d9/tm1d9.pdf","text":"Report","size":"2.82 MB","linkFileType":{"id":1,"text":"pdf"},"description":"T and M 1-D9"},{"id":406498,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92ULNAG","text":"USGS data release","linkHelpText":"Climatological data for the Loch Vale watershed in Rocky Mountain National Park, Colorado, water years 1992–2019"},{"id":406738,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/tm/01/d9/images"},{"id":406739,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/tm/01/d9/tm1d9.xml"},{"id":406741,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://nadp.slh.wisc.edu/","text":"National Atmospheric Deposition Program [NADP], 2021, National Atmospheric Deposition Program web page—","linkHelpText":"accessed August 17, 2021"},{"id":406742,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://www2.nrel.colostate.edu/projects/lvws/index.html","text":"National Resource Ecology Lab [NREL], 2011, Loch Vale Watershed—Long-term Ecological Research and Monitoring Program: National Resource Ecology Laboratory web page—","linkHelpText":"accessed April 15, 2021"},{"id":406744,"rank":9,"type":{"id":9,"text":"Database"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS water data for the Nation—","linkHelpText":"U.S. Geological Survey National Water Information System database, accessed July 28, 2021"},{"id":406743,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://co.water.usgs.gov/lochvale/","text":"Water, Energy, and Biochemical Budgets (WEBB)—Loch Vale Watershed: Colorado Water Science Center web page—","linkHelpText":"accessed July 13, 2021"}],"country":"United States","state":"Colorado","otherGeospatial":"Loch Vale Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.292724609375,\n 39.605688178320804\n ],\n [\n -105.01281738281249,\n 39.605688178320804\n ],\n [\n -105.01281738281249,\n 40.56806745430726\n ],\n [\n -106.292724609375,\n 40.56806745430726\n ],\n [\n -106.292724609375,\n 39.605688178320804\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8118

","tableOfContents":"","publishedDate":"2022-09-16","noUsgsAuthors":false,"publicationDate":"2022-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Weinmann, Timothy 0000-0003-1502-5254","orcid":"https://orcid.org/0000-0003-1502-5254","contributorId":268331,"corporation":false,"usgs":true,"family":"Weinmann","given":"Timothy","email":"","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":851399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baron, Jill S. 0000-0002-5902-6251","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":215101,"corporation":false,"usgs":true,"family":"Baron","given":"Jill S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":851400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jayo, Amanda","contributorId":268333,"corporation":false,"usgs":false,"family":"Jayo","given":"Amanda","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":851401,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70236741,"text":"ofr20221076 - 2022 - A summary of water-quality and salt marsh monitoring, Humboldt Bay, California","interactions":[],"lastModifiedDate":"2026-03-30T20:30:15.290109","indexId":"ofr20221076","displayToPublicDate":"2022-09-16T11:44:51","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-1076","displayTitle":"A Summary of Water-Quality and Salt Marsh Monitoring, Humboldt Bay, California","title":"A summary of water-quality and salt marsh monitoring, Humboldt Bay, California","docAbstract":"

This report summarizes data-collection activities associated with the U.S. Geological Survey Humboldt Bay Water-Quality and Salt Marsh Monitoring Project. This work was undertaken to gain a comprehensive understanding of water-quality conditions, salt marsh accretion processes, marsh-edge erosion, and soil-carbon storage in Humboldt Bay, California. Multiparameter sondes recorded water temperature, specific conductance, and turbidity at a 15-minute timestep at two U.S. Geological Survey water-quality stations: (1) Mad River Slough near Arcata, California (U.S. Geological Survey station 405219124085601) and (2) Hookton Slough near Loleta, California (U.S. Geological Survey station 404038124131801). At each station, discrete water samples were collected to develop surrogate regression models that were used to compute a continuous time series of suspended-sediment concentration from continuously measured turbidity. Data loggers recorded water depth at a 6-minute timestep in the primary tidal channels (Mad River Slough and Hookton Slough) in two adjacent marshes (Mad River marsh and Hookton marsh). The marsh monitoring network included five study marshes. Three marshes (Mad River, Manila, and Jacoby) are in the northern embayment of Humboldt Bay and two marshes (White and Hookton) are in the southern embayment. Surface deposition and elevation change were measured using deep rod surface elevation tables and feldspar marker horizons. Sediment characteristics and soil-carbon storage were measured using a total of 10 shallow cores, distributed across 5 study marshes, collected using an Eijkelkamp peat sampler. Rates of marsh edge erosion (2010–19) were quantified in four marshes (Mad River, Manila, Jacoby, and White) by estimating changes in the areal extent of the vegetated marsh plain using repeat aerial imagery and light detection and ranging (LiDAR)-derived elevation data. During the monitoring period (2016–19), the mean suspended-sediment concentration computed for Hookton Slough (50±20 milligrams per liter [mg/L]) was higher than Mad River Slough (18±7 mg/L). Uncertainty in mean suspended-sediment concentration values is reported using a 90-percent confidence interval. Across the five study marshes, elevation change (+1.8±0.6 millimeters per year [mm/yr]) and surface deposition (+2.5±0.5 mm/yr) were lower than published values of local sea-level rise (4.9±0.8 mm/yr), and mean carbon density was 0.029±0.005 grams of carbon per cubic centimeter. From 2010 to 2019, marsh edge erosion and soil carbon loss were greatest in low-elevation marshes with the marsh edge characterized by a gentle transition from mudflat to vegetated marsh (herein, ramped edge morphology) and larger wind-wave exposure. Jacoby Creek marsh experienced the greatest edge erosion. In total, marsh edge erosion was responsible for 62.3 metric tons of estuarine soil carbon storage loss across four study marshes. Salt marshes are an important component of coastal carbon, which is frequently referred to as “blue carbon.” The monitoring data presented in this report provide fundamental information needed to manage blue carbon stocks, assess marsh vulnerability, inform sea-level rise adaptation planning, and build coastal resiliency to climate change.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221076","collaboration":"Prepared in cooperation with the California State Coastal Conservancy, California Department of Fish and Wildlife, and U.S. Fish and Wildlife Service—Humboldt Bay National Wildlife Refuge","usgsCitation":"Curtis, J.A., Thorne, K.M., Freeman, C.M., Buffington, K.J., and Drexler, J.Z., 2022, A summary of water-quality and salt marsh monitoring, Humboldt Bay, California: U.S. Geological Survey Open-File Report 2022–1076, 30 p., https://doi.org/10.3133/ofr20221076.","productDescription":"Report: viii, 30 p.; 3 Data Releases","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-133425","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":501826,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113519.htm","linkFileType":{"id":5,"text":"html"}},{"id":406874,"rank":8,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20221076/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":406865,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TVX0Z8","text":"Model archive summary for a suspended-sediment concentration surrogate regression model for station 405219124085601; Mad River Slough near Arcata, CA","description":"Curtis, J.A., 2021b, Model archive summary for a suspended-sediment concentration surrogate regression model for station 405219124085601; Mad River Slough near Arcata, CA: U.S. Geological Survey data release, https://doi.org/10.5066/P9TVX0Z8."},{"id":406863,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1076/images"},{"id":406864,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RJTAIL","text":"Model archive summary for a suspended-sediment concentration surrogate regression model for station 404038124131801; Hookton Slough near Loleta, CA","description":"Curtis, J.A., 2021a, Model archive summary for a suspended-sediment concentration surrogate regression model for station 404038124131801; Hookton Slough near Loleta, CA: U.S. Geological Survey data release, https://doi.org/10.5066/P9RJTAIL."},{"id":406866,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QLAL7B","text":"Salt marsh monitoring during water years 2013 to 2019, Humboldt Bay, CA—Water levels, surface deposition, elevation change, and soil carbon storage","description":"Curtis, J.A., Thorne, K.M., Freeman, C.M., Buffington, K.J., and Drexler, J.Z., 2022, Salt marsh monitoring during water years 2013 to 2019, Humboldt Bay, CA—Water levels, surface deposition, elevation change, and soil carbon storage: U.S. Geological Survey data release, https://doi.org/10.5066/P9QLAL7B."},{"id":406860,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1076/covrthb.jpg"},{"id":406861,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1076/ofr20221076.pdf","text":"Report","size":"12 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":406862,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1076/ofr20221076.xml"}],"country":"United States","state":"California","otherGeospatial":"Humboldt Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.35699462890624,\n 40.55972134684838\n ],\n [\n -124.0191650390625,\n 40.55972134684838\n ],\n [\n -124.0191650390625,\n 40.97678774053031\n ],\n [\n -124.35699462890624,\n 40.97678774053031\n ],\n [\n -124.35699462890624,\n 40.55972134684838\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819

","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2022-09-16","noUsgsAuthors":false,"publicationDate":"2022-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Curtis, Jennifer A. 0000-0001-7766-994X jacurtis@usgs.gov","orcid":"https://orcid.org/0000-0001-7766-994X","contributorId":927,"corporation":false,"usgs":true,"family":"Curtis","given":"Jennifer","email":"jacurtis@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":852059,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thorne, Karen M. 0000-0002-1381-0657 kthorne@usgs.gov","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":4191,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen","email":"kthorne@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":852060,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, Chase M. 0000-0003-4211-6709 cfreeman@usgs.gov","orcid":"https://orcid.org/0000-0003-4211-6709","contributorId":150052,"corporation":false,"usgs":true,"family":"Freeman","given":"Chase","email":"cfreeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":852061,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":852062,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drexler, Judith Z. 0000-0002-0127-3866 jdrexler@usgs.gov","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":167492,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith","email":"jdrexler@usgs.gov","middleInitial":"Z.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":852063,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70236654,"text":"ofr20221073 - 2022 - Preliminary models relating lake level gate operation and discharge at Reelfoot Lake in Tennessee and Kentucky","interactions":[],"lastModifiedDate":"2026-03-30T20:27:49.485409","indexId":"ofr20221073","displayToPublicDate":"2022-09-16T11:15:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-1073","displayTitle":"Preliminary Models Relating Lake Level Gate Operation and Discharge at Reelfoot Lake in Tennessee and Kentucky","title":"Preliminary models relating lake level gate operation and discharge at Reelfoot Lake in Tennessee and Kentucky","docAbstract":"

Preliminary models for gate operations at the new outlet control structure for Reelfoot Lake were developed by the U.S. Geological Survey, using calibrated ratings of the lift gates, to support the U.S. Fish and Wildlife Service in managing lake level. In 2018, the old structure at the outlet of Reelfoot Lake was buried and lake level control was transferred to a new structure. The transition from lake-level management of the old control structure to the new control structure was documented using historical lake level and discharge measurements and records of stop-log management from March 7, 2013, to August 12, 2018. Discharge into Running Reelfoot Bayou was determined using a standard stage-discharge rating curve. Discharge measured using an acoustic Doppler current profiler was used to calibrate gate-discharge equations for free and submerged orifice flow at the new structure.

Two lake operation models, one for the summer season and another for the winter season, are provided for the new structure based on data from this period. The summer operation model is based on operation of the gates once the lake level exceeds an elevation of 282.7 feet (ft) above the North American Vertical Datum of 1988 (NAVD 88). Free flow begins when lake level reaches 282.3 ft above NAVD 88 and becomes transitional once the lake level exceeds 282.8 ft above NAVD 88. Submerged flow begins once the lake level reaches 283 ft above NAVD 88 and the tail-water depth is above critical flow depth. The winter operation model is based on operation of the gates once the lake level exceeds 283.2 ft above NAVD 88. Submerged flow begins when the lake rises to an elevation of 283.5 ft above NAVD 88 and the tail-water depth is above critical flow depth.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20221073","collaboration":"Prepared in cooperation with the Tennessee Wildlife Resources Agency","usgsCitation":"Heal, E.N., Diehl, T.H., and Garrett, J.W., 2022, Preliminary models relating lake level gate operation and discharge at Reelfoot Lake in Tennessee and Kentucky: U.S. Geological Survey Open-File Report 2022–1073, 27 p., https://doi.org/10.3133/ofr20221073.","productDescription":"Report: vii, 27 p.; Data Release; Database","onlineOnly":"Y","ipdsId":"IP-103756","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":406684,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GY1UF4","text":"USGS data release","linkHelpText":"Preliminary model data for lake level gate operation and discharge at Reelfoot Lake—Tennessee and Kentucky"},{"id":501823,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113520.htm","linkFileType":{"id":5,"text":"html"}},{"id":406683,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1073/ofr20221073.pdf","text":"Report","size":"2.57 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022-1073"},{"id":406682,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1073/coverthb.jpg"},{"id":406685,"rank":4,"type":{"id":9,"text":"Database"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS water data for the Nation—","linkHelpText":"U.S. Geological Survey National Water Information System database"},{"id":406844,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1073/images"},{"id":406845,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1073/ofr20221073.xml"},{"id":409059,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/ofr20221073/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2022-1073"}],"country":"United States","state":"Kentucky, Tennessee","otherGeospatial":"Reelfoot Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.46441650390625,\n 36.30350540784278\n ],\n [\n -89.25155639648438,\n 36.30350540784278\n ],\n [\n -89.25155639648438,\n 36.52453591500483\n ],\n [\n -89.46441650390625,\n 36.52453591500483\n ],\n [\n -89.46441650390625,\n 36.30350540784278\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211

","tableOfContents":"","publishedDate":"2022-09-16","noUsgsAuthors":false,"publicationDate":"2022-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Heal, Elizabeth 0000-0002-1196-4708 eheal@usgs.gov","orcid":"https://orcid.org/0000-0002-1196-4708","contributorId":177003,"corporation":false,"usgs":true,"family":"Heal","given":"Elizabeth","email":"eheal@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":851763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diehl, Timothy H. 0000-0001-9691-2212","orcid":"https://orcid.org/0000-0001-9691-2212","contributorId":296395,"corporation":false,"usgs":false,"family":"Diehl","given":"Timothy H.","affiliations":[{"id":64026,"text":"retired USGS, Cherokee Nation contractor","active":true,"usgs":false}],"preferred":false,"id":851764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garrett, Jerry W. 0000-0003-1772-2459 jwgarret@usgs.gov","orcid":"https://orcid.org/0000-0003-1772-2459","contributorId":296539,"corporation":false,"usgs":true,"family":"Garrett","given":"Jerry W.","email":"jwgarret@usgs.gov","affiliations":[],"preferred":false,"id":851765,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70240763,"text":"70240763 - 2022 - Improving gas-derived parameterization of groundwater using free phase gas measurements","interactions":[],"lastModifiedDate":"2023-02-21T12:40:27.581042","indexId":"70240763","displayToPublicDate":"2022-09-16T06:38:14","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5112,"text":"Environmental Science: Water Research & Technology","active":true,"publicationSubtype":{"id":10}},"title":"Improving gas-derived parameterization of groundwater using free phase gas measurements","docAbstract":"

Dissolved atmogenic gasses in groundwater provide significant information about recharge conditions, flowpath, and age. Free phase gas in aquifers is largely ignored in these analyses and there is a lack of quantitative analysis for gas flux mechanisms. Many related fields encountering multiphase flow acknowledge that the presence of bubbles allows for the rapid exsolution of dissolved gasses and volatile compounds through diffusive and polar forces. By measuring the mass flow of the exsolved gas at a spring, coupled with compositional analysis in the free and dissolved phases, we show that not incorporating the effects of the free gas phase of bubbling springs introduces error in the estimation of total gas quantities, particularly light noble gasses. This can significantly affect the corresponding estimation of noble gas temperature (NGT) and apparent age. We examine the transport of free and dissolved gas from the recharge zone, using water level variation data, to the discharge location where the gases are measured. This technique of using the free gas phase for assessing aquifer dynamics will improve groundwater conceptual models, particularly in karstic aquifers where rapid fluctuations in the water table facilitate the development of excess air, generating multiphase spring discharge.

","language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/D2EW00150K","usgsCitation":"Agnew, R.J., Hunt, A., and Halihan, T., 2022, Improving gas-derived parameterization of groundwater using free phase gas measurements: Environmental Science: Water Research & Technology, v. 8, p. 2682-2693, https://doi.org/10.1039/D2EW00150K.","productDescription":"12 p.","startPage":"2682","endPage":"2693","ipdsId":"IP-126674","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":413231,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Agnew, Robert J","contributorId":302589,"corporation":false,"usgs":false,"family":"Agnew","given":"Robert","email":"","middleInitial":"J","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":864754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunt, Andrew G. 0000-0002-3810-8610","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":206197,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew G.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":864755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Halihan, Todd","contributorId":302590,"corporation":false,"usgs":false,"family":"Halihan","given":"Todd","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":864756,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70236658,"text":"sir20225076 - 2022 - Evaluation of sample preservation methods for analysis of selected volatile organic compounds in groundwater at the Idaho National Laboratory, Idaho","interactions":[],"lastModifiedDate":"2022-09-16T22:26:33.970593","indexId":"sir20225076","displayToPublicDate":"2022-09-15T10:37:00","publicationYear":"2022","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":"2022-5076","displayTitle":"Evaluation of Sample Preservation Methods for Analysis of Selected Volatile Organic Compounds in Groundwater at the Idaho National Laboratory, Idaho","title":"Evaluation of sample preservation methods for analysis of selected volatile organic compounds in groundwater at the Idaho National Laboratory, Idaho","docAbstract":"

During 2020, water samples were collected from 25 wells completed in the eastern Snake River Plain aquifer and from 1 well completed in perched groundwater above the aquifer at the Idaho National Laboratory to determine the effect of different sample-preservation methods on the laboratory determinations of concentrations of volatile organic compounds. Paired-sample sets were collected at each well. One sample in each set was preserved with hydrochloric acid, and one sample without. Both samples were chilled after collection and during shipping to the laboratory for analysis. The samples were analyzed for 61 volatile organic compounds at the U.S. Geological Survey National Water Quality Laboratory in cooperation with the U.S. Department of Energy. A comparison of the reproducibility of the analyses of co-located unpreserved and preserved samples by a relative percent difference method determined that all sample pairs were statistically equivalent. Using a normalized absolute difference method, 81 percent of the analyses were found to be statistically equivalent. This study confirms that the results of analyses of historical collected samples, which were preserved by chilling only, are statistically comparable to the analyses of samples being currently collected and preserved by both hydrochloric acid and chilling, and thus are valid for use in future geochemical evaluations.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225076","collaboration":"DOE/ID-22257
Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Treinen, K.C., and Bartholomay, R.C., 2022, Evaluation of sample preservation methods for analysis of selected volatile organic compounds in groundwater at the Idaho National Laboratory, Idaho: U.S. Geological Survey Scientific Investigations Report 2022–5076 (DOE/ID-22257), 17 p., https://doi.org/10.3133/sir20225076.","productDescription":"Report: v, 17 p.; 1 Figure","onlineOnly":"Y","ipdsId":"IP-133894","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":406896,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20225076/full","text":"Report"},{"id":406695,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5076/coverthb.jpg"},{"id":406696,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5076/sir20225076.pdf","text":"Report","size":"2.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5076"},{"id":406697,"rank":3,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2022/5076/sir20225076_fig1.1.pdf","text":"Figure 1.1","size":"250 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5076 Figure 1.1"},{"id":406698,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5076/images"},{"id":406699,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5076/sir20225076.XML"}],"country":"United States","state":"Idaho","otherGeospatial":"Idaho National Laboratory","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.70849609375,\n 43.30919109985686\n ],\n [\n -111.983642578125,\n 43.30919109985686\n ],\n [\n -111.983642578125,\n 44.48866833139464\n ],\n [\n -113.70849609375,\n 44.48866833139464\n ],\n [\n -113.70849609375,\n 43.30919109985686\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Rd
Boise, Idaho 83702-4520

","tableOfContents":"","publishedDate":"2022-09-15","noUsgsAuthors":false,"publicationDate":"2022-09-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Treinen, Kerri C. 0000-0003-0645-6810 ktreinen@usgs.gov","orcid":"https://orcid.org/0000-0003-0645-6810","contributorId":296540,"corporation":false,"usgs":true,"family":"Treinen","given":"Kerri","email":"ktreinen@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":851779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartholomay, Roy C. 0000-0002-4809-9287 rcbarth@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-9287","contributorId":1131,"corporation":false,"usgs":true,"family":"Bartholomay","given":"Roy","email":"rcbarth@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":851780,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70236701,"text":"70236701 - 2022 - In-reservoir physical processes modulate aqueous and biological methylmercury export from a seasonally anoxic reservoir","interactions":[],"lastModifiedDate":"2022-10-17T16:12:28.886629","indexId":"70236701","displayToPublicDate":"2022-09-15T09:08:34","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"In-reservoir physical processes modulate aqueous and biological methylmercury export from a seasonally anoxic reservoir","docAbstract":"

Anoxic conditions within reservoirs related to thermal stratification and oxygen depletion lead to methylmercury (MeHg) production, a key process governing the uptake of mercury in aquatic food webs. Once formed within a reservoir, the timing and magnitude of the biological uptake of MeHg and the relative importance of MeHg export in water versus biological compartments remain poorly understood. We examined the relations between the reservoir stratification state, anoxia, and the concentrations and export loads of MeHg in aqueous and biological compartments at the outflow locations of two reservoirs of the Hells Canyon Complex (Snake River, Idaho-Oregon). Results show that (1) MeHg concentrations in filter-passing water, zooplankton, suspended particles, and detritus increased in response to reservoir destratification; (2) zooplankton MeHg strongly correlated with MeHg in filter-passing water during destratification; (3) reservoir anoxia appeared to be a key control on MeHg export; and (4) biological MeHg, primarily in zooplankton, accounted for only 5% of total MeHg export from the reservoirs (the remainder being aqueous compartments). These results improve our understanding of the role of biological incorporation of MeHg and the subsequent downstream release from seasonally stratified reservoirs and demonstrate that in-reservoir physical processes strongly influence MeHg incorporation at the base of the aquatic food web.

","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.2c03958","usgsCitation":"Baldwin, A.K., Eagles-Smith, C., Willacker, J., Poulin, B., Krabbenhoft, D.P., Naymik, J., Tate, M., Bates, D., Gastelecutto, N., Hoovestol, C., Larsen, C.F., Yoder, A.M., Chandler, J.A., and Myers, R., 2022, In-reservoir physical processes modulate aqueous and biological methylmercury export from a seasonally anoxic reservoir: Environmental Science and Technology, v. 56, no. 19, p. 13751-13760, https://doi.org/10.1021/acs.est.2c03958.","productDescription":"10 p.","startPage":"13751","endPage":"13760","ipdsId":"IP-135446","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":446424,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.2c03958","text":"Publisher Index Page"},{"id":435690,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96E3DYN","text":"USGS data release","linkHelpText":"Biomass and methylmercury concentrations in biweekly biological samples from Brownlee and Oxbow Reservoir outflows, Snake River Hells Canyon Complex (Idaho-Oregon), 2018-2019"},{"id":406837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Oregon","otherGeospatial":"Brownlee Reservoir, Hells Canyon Reservoir, Oxbow Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.3065185546875,\n 44.337600831495635\n ],\n [\n -117.12799072265625,\n 44.351350365612326\n ],\n [\n -116.400146484375,\n 45.596743928454124\n ],\n [\n -116.630859375,\n 45.625563438215984\n ],\n [\n -117.28179931640626,\n 44.69599298172069\n ],\n [\n -117.3065185546875,\n 44.337600831495635\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"56","issue":"19","noUsgsAuthors":false,"publicationDate":"2022-09-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Baldwin, Austin K. 0000-0002-6027-3823 akbaldwi@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3823","contributorId":4515,"corporation":false,"usgs":true,"family":"Baldwin","given":"Austin","email":"akbaldwi@usgs.gov","middleInitial":"K.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":851934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":851935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Willacker, James 0000-0002-6286-5224","orcid":"https://orcid.org/0000-0002-6286-5224","contributorId":207883,"corporation":false,"usgs":true,"family":"Willacker","given":"James","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":851936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poulin, Brett 0000-0002-5555-7733","orcid":"https://orcid.org/0000-0002-5555-7733","contributorId":260893,"corporation":false,"usgs":false,"family":"Poulin","given":"Brett","affiliations":[{"id":52706,"text":"Department of Environmental Toxicology, University of California Davis, Davis, CA 95616, USA","active":true,"usgs":false}],"preferred":false,"id":851937,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":851938,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Naymik, Jesse","contributorId":229386,"corporation":false,"usgs":false,"family":"Naymik","given":"Jesse","affiliations":[{"id":41632,"text":"Idaho Power Company","active":true,"usgs":false}],"preferred":false,"id":851939,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tate, Michael T. 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":3144,"corporation":false,"usgs":true,"family":"Tate","given":"Michael T.","email":"mttate@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":851940,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bates, Dain","contributorId":296596,"corporation":false,"usgs":false,"family":"Bates","given":"Dain","email":"","affiliations":[{"id":41632,"text":"Idaho Power Company","active":true,"usgs":false}],"preferred":false,"id":851941,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gastelecutto, Nick","contributorId":296597,"corporation":false,"usgs":false,"family":"Gastelecutto","given":"Nick","email":"","affiliations":[{"id":41632,"text":"Idaho Power Company","active":true,"usgs":false}],"preferred":false,"id":851942,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hoovestol, Charles","contributorId":229387,"corporation":false,"usgs":false,"family":"Hoovestol","given":"Charles","email":"","affiliations":[{"id":41632,"text":"Idaho Power Company","active":true,"usgs":false}],"preferred":false,"id":851943,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Larsen, Christopher F.","contributorId":147408,"corporation":false,"usgs":false,"family":"Larsen","given":"Christopher","email":"","middleInitial":"F.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":851944,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Yoder, Alysa Muir 0000-0002-3683-6729","orcid":"https://orcid.org/0000-0002-3683-6729","contributorId":296598,"corporation":false,"usgs":true,"family":"Yoder","given":"Alysa","email":"","middleInitial":"Muir","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":851945,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Chandler, James A.","contributorId":210045,"corporation":false,"usgs":false,"family":"Chandler","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":38056,"text":"Idaho Power Company 1221 West Idaho Street, Boise, ID 83702","active":true,"usgs":false}],"preferred":true,"id":851947,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Myers, Ralph","contributorId":172701,"corporation":false,"usgs":false,"family":"Myers","given":"Ralph","email":"","affiliations":[{"id":12541,"text":"Idaho Power Company, P.O. Box 70, Boise ID 83707","active":true,"usgs":false}],"preferred":false,"id":851946,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70237916,"text":"70237916 - 2022 - Combining eddy covariance and chamber methods to better constrain CO2 and CH4 fluxes across a heterogeneous restored tidal wetland","interactions":[],"lastModifiedDate":"2022-11-01T12:26:20.958262","indexId":"70237916","displayToPublicDate":"2022-09-15T07:18:36","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8116,"text":"Journal of Geophysical Research-Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Combining eddy covariance and chamber methods to better constrain CO2 and CH4 fluxes across a heterogeneous restored tidal wetland","docAbstract":"

Tidal wetlands play an important role in global carbon cycling by storing carbon in sediment at millennial time scales, transporting dissolved carbon into coastal waters, and contributing significantly to global CH4 budgets. However, these ecosystems' greenhouse gas monitoring and predictions are challenging due to spatial heterogeneity and tidal flooding. We utilized eddy covariance and chamber measurements to quantify fluxes of CO2 and CH4 at a restored tidal saltmarsh across spatial and temporal scales. Eddy covariance data revealed that the site was a strong net sink for CO2 (−387 g C-CO2 m−2 yr−1, SD = 46) and a small net source of CH4 (0.7 g C-CH4 m−2 yr−1, SD = 0.4). After partitioning net ecosystem exchange of CO2 into gross primary production and ecosystem respiration, we found that high net uptake of CO2 was due to low respiration emissions rather than high photosynthetic rates. We also found that respiration rates varied between land covers with increased respiration in mudflats compared to vegetated areas. Daytime soil chamber measurements revealed that the greatest CO2 emission was from higher elevation mudflat soils (0.5 μmol m−2s−1, SE = 1.3) and CH4 emission was greatest from lower elevation Spartina foliosa soils (1.6 nmol m−2s−1, SD = 8.2). Overall, these results highlight the importance of the relationships between wetland plant community and elevation, and inundation for CO2 and CH4 fluxes. Future research should include the use of high-resolution imagery, automated chambers, and a focus on quantifying carbon exported in tidal waters.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022JG007112","usgsCitation":"Shahan, J., Chu, H., Windham-Myers, L., Matsumura, M., Carlin, J., Eichelmann, E., Goodrich-Stuart, E.J., Bergamaschi, B.A., Nakatsuka, K.K., Oikawa, P., and Sturtevant, C., 2022, Combining eddy covariance and chamber methods to better constrain CO2 and CH4 fluxes across a heterogeneous restored tidal wetland: Journal of Geophysical Research-Biogeosciences, v. 127, no. 9, e2022JG007112, 13 p., https://doi.org/10.1029/2022JG007112.","productDescription":"e2022JG007112, 13 p.","ipdsId":"IP-142817","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":408973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Eden Landing Ecological Reserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.15091813716214,\n 37.62320614782212\n ],\n [\n -122.15091813716214,\n 37.56119337670299\n ],\n [\n -122.05650437983782,\n 37.56119337670299\n ],\n [\n -122.05650437983782,\n 37.62320614782212\n ],\n [\n -122.15091813716214,\n 37.62320614782212\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"127","issue":"9","noUsgsAuthors":false,"publicationDate":"2022-09-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Shahan, Julie","contributorId":298669,"corporation":false,"usgs":false,"family":"Shahan","given":"Julie","affiliations":[{"id":64648,"text":"California State University, East Bay","active":true,"usgs":false}],"preferred":false,"id":856191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chu, Housen","contributorId":298670,"corporation":false,"usgs":false,"family":"Chu","given":"Housen","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":856192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":856193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matsumura, Maiyah","contributorId":298671,"corporation":false,"usgs":false,"family":"Matsumura","given":"Maiyah","email":"","affiliations":[{"id":64648,"text":"California State University, East Bay","active":true,"usgs":false}],"preferred":false,"id":856194,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carlin, Joseph","contributorId":298672,"corporation":false,"usgs":false,"family":"Carlin","given":"Joseph","affiliations":[{"id":13544,"text":"California State University, Fullerton","active":true,"usgs":false}],"preferred":false,"id":856195,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eichelmann, Elke","contributorId":265835,"corporation":false,"usgs":false,"family":"Eichelmann","given":"Elke","email":"","affiliations":[],"preferred":false,"id":856379,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goodrich-Stuart, Ellen J 0000-0001-9901-7643","orcid":"https://orcid.org/0000-0001-9901-7643","contributorId":272612,"corporation":false,"usgs":true,"family":"Goodrich-Stuart","given":"Ellen","email":"","middleInitial":"J","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":856197,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":856198,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Nakatsuka, Kyle Kensuke 0000-0001-9667-1033","orcid":"https://orcid.org/0000-0001-9667-1033","contributorId":293532,"corporation":false,"usgs":true,"family":"Nakatsuka","given":"Kyle","email":"","middleInitial":"Kensuke","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":856380,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Oikawa, Patty","contributorId":298675,"corporation":false,"usgs":false,"family":"Oikawa","given":"Patty","email":"","affiliations":[],"preferred":false,"id":856200,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sturtevant, Cove","contributorId":298674,"corporation":false,"usgs":false,"family":"Sturtevant","given":"Cove","affiliations":[{"id":24611,"text":"NEON","active":true,"usgs":false}],"preferred":false,"id":856199,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70236689,"text":"70236689 - 2022 - Evaluation of select velocity measurement techniques for estimating discharge in small streams across the United States","interactions":[],"lastModifiedDate":"2023-01-18T16:31:05.188135","indexId":"70236689","displayToPublicDate":"2022-09-15T06:39:24","publicationYear":"2022","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":"Evaluation of select velocity measurement techniques for estimating discharge in small streams across the United States","docAbstract":"

Multiple instruments and methods exist for collecting discrete streamflow measurements in small streams with low flows, defined here as less than 5.7 m3/s (200 ft3/s). Included in the available methods are low-cost approaches that are infrequently used, in part, because their uncertainty is not well known. In this work, we evaluated the accuracy and suitability of three low-cost velocity measurement methods (surface float [SF], velocity head rod [VR], and rising body [RB]) and three conventional current meters (acoustic Doppler velocimeter, and mechanical Price type AA and Price Pygmy meters) relative to discharge calculated from stable artificial hydraulic controls. A total of 231 measurements were made by 20 individuals during 88 site visits to 24 sites in eight states. Accuracies were assessed for all methods and precision was evaluated for the low-cost methods. The median percent error was below 5% for conventional methods, and below 20% for the low-cost methods. The SF was the most accurate (median absolute percent error 14%) and precise (mean percent precision of 11%) low-cost method. The RB and VR, respectively, had 15% and 20% median absolute percent error and 29% and 12% mean percent precision. Results suggest that low-cost methods, when used appropriately, can be used to estimate discharge data under low flow conditions when measurements with conventional methods are not feasible and the associated accuracies meet end-user measurement objectives.

","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.13053","usgsCitation":"King, T.V., Hundt, S., Simonson, A.E., and Blasch, K.W., 2022, Evaluation of select velocity measurement techniques for estimating discharge in small streams across the United States: Journal of the American Water Resources Association, v. 58, no. 6, p. 1510-1530, https://doi.org/10.1111/1752-1688.13053.","productDescription":"21 p.","startPage":"1510","endPage":"1530","ipdsId":"IP-123644","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":446428,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.13053","text":"Publisher Index Page"},{"id":435691,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SOIRJ7","text":"USGS data release","linkHelpText":"Measurements of Discharge in Small, Low-Flowing Streams Using Multiple Techniques"},{"id":406828,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"continental United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n -94.81758,\n 49.38905\n ],\n [\n -94.64,\n 48.84\n ],\n [\n -94.32914,\n 48.67074\n ],\n [\n -93.63087,\n 48.60926\n ],\n [\n -92.61,\n 48.45\n ],\n [\n -91.64,\n 48.14\n ],\n [\n -90.83,\n 48.27\n ],\n [\n -89.6,\n 48.01\n ],\n [\n -89.27292,\n 48.01981\n ],\n [\n -88.37811,\n 48.30292\n ],\n [\n -87.43979,\n 47.94\n ],\n [\n -86.46199,\n 47.55334\n ],\n [\n -85.65236,\n 47.22022\n ],\n [\n -84.87608,\n 46.90008\n ],\n [\n -84.77924,\n 46.6371\n ],\n [\n -84.54375,\n 46.53868\n ],\n [\n -84.6049,\n 46.4396\n ],\n [\n -84.3367,\n 46.40877\n ],\n [\n -84.14212,\n 46.51223\n ],\n [\n -84.09185,\n 46.27542\n ],\n [\n -83.89077,\n 46.11693\n ],\n [\n -83.61613,\n 46.11693\n ],\n [\n -83.46955,\n 45.99469\n ],\n [\n -83.59285,\n 45.81689\n ],\n [\n -82.55092,\n 45.34752\n ],\n [\n -82.33776,\n 44.44\n ],\n [\n -82.13764,\n 43.57109\n ],\n [\n -82.43,\n 42.98\n ],\n [\n -82.9,\n 42.43\n ],\n [\n -83.12,\n 42.08\n ],\n [\n -83.142,\n 41.97568\n ],\n [\n -83.02981,\n 41.8328\n ],\n [\n -82.69009,\n 41.67511\n ],\n [\n -82.43928,\n 41.67511\n ],\n [\n -81.27775,\n 42.20903\n ],\n [\n -80.24745,\n 42.3662\n ],\n [\n -78.93936,\n 42.86361\n ],\n [\n -78.92,\n 42.965\n ],\n [\n -79.01,\n 43.27\n ],\n [\n -79.17167,\n 43.46634\n ],\n [\n -78.72028,\n 43.62509\n ],\n [\n -77.73789,\n 43.62906\n ],\n [\n -76.82003,\n 43.62878\n ],\n [\n -76.5,\n 44.01846\n ],\n [\n -76.375,\n 44.09631\n ],\n [\n -75.31821,\n 44.81645\n ],\n [\n -74.867,\n 45.00048\n ],\n [\n -73.34783,\n 45.00738\n ],\n [\n -71.50506,\n 45.0082\n ],\n [\n -71.405,\n 45.255\n ],\n [\n -71.08482,\n 45.30524\n ],\n [\n -70.66,\n 45.46\n ],\n [\n -70.305,\n 45.915\n ],\n [\n -69.99997,\n 46.69307\n ],\n [\n -69.23722,\n 47.44778\n ],\n [\n -68.905,\n 47.185\n ],\n [\n -68.23444,\n 47.35486\n ],\n [\n -67.79046,\n 47.06636\n ],\n [\n -67.79134,\n 45.70281\n ],\n [\n -67.13741,\n 45.13753\n ],\n [\n -66.96466,\n 44.8097\n ],\n [\n -68.03252,\n 44.3252\n ],\n [\n -69.06,\n 43.98\n ],\n [\n -70.11617,\n 43.68405\n ],\n [\n -70.64548,\n 43.09024\n ],\n [\n -70.81489,\n 42.8653\n ],\n [\n -70.825,\n 42.335\n ],\n [\n -70.495,\n 41.805\n ],\n [\n -70.08,\n 41.78\n ],\n [\n -70.185,\n 42.145\n ],\n [\n -69.88497,\n 41.92283\n ],\n [\n -69.96503,\n 41.63717\n ],\n [\n -70.64,\n 41.475\n ],\n [\n -71.12039,\n 41.49445\n ],\n [\n -71.86,\n 41.32\n ],\n [\n -72.295,\n 41.27\n ],\n [\n -72.87643,\n 41.22065\n ],\n [\n -73.71,\n 40.9311\n ],\n [\n -72.24126,\n 41.11948\n ],\n [\n -71.945,\n 40.93\n ],\n [\n -73.345,\n 40.63\n ],\n [\n -73.982,\n 40.628\n ],\n [\n -73.95232,\n 40.75075\n ],\n [\n -74.25671,\n 40.47351\n ],\n [\n -73.96244,\n 40.42763\n ],\n [\n -74.17838,\n 39.70926\n ],\n [\n -74.90604,\n 38.93954\n ],\n [\n -74.98041,\n 39.1964\n ],\n [\n -75.20002,\n 39.24845\n ],\n [\n -75.52805,\n 39.4985\n ],\n [\n -75.32,\n 38.96\n ],\n [\n -75.07183,\n 38.78203\n ],\n [\n -75.05673,\n 38.40412\n ],\n [\n -75.37747,\n 38.01551\n ],\n [\n -75.94023,\n 37.21689\n ],\n [\n -76.03127,\n 37.2566\n ],\n [\n -75.72205,\n 37.93705\n ],\n [\n -76.23287,\n 38.31921\n ],\n [\n -76.35,\n 39.15\n ],\n [\n -76.54272,\n 38.71762\n ],\n [\n -76.32933,\n 38.08326\n ],\n [\n -76.99,\n 38.23999\n ],\n [\n -76.30162,\n 37.91794\n ],\n [\n -76.25874,\n 36.9664\n ],\n [\n -75.9718,\n 36.89726\n ],\n [\n -75.86804,\n 36.55125\n ],\n [\n -75.72749,\n 35.55074\n ],\n [\n -76.36318,\n 34.80854\n ],\n [\n -77.39763,\n 34.51201\n ],\n [\n -78.05496,\n 33.92547\n ],\n [\n -78.55435,\n 33.86133\n ],\n [\n -79.06067,\n 33.49395\n ],\n [\n -79.20357,\n 33.15839\n ],\n [\n -80.30132,\n 32.50935\n ],\n [\n -80.86498,\n 32.0333\n ],\n [\n -81.33629,\n 31.44049\n ],\n [\n -81.49042,\n 30.72999\n ],\n [\n -81.31371,\n 30.03552\n ],\n [\n -80.98,\n 29.18\n ],\n [\n -80.53558,\n 28.47213\n ],\n [\n -80.53,\n 28.04\n ],\n [\n -80.05654,\n 26.88\n ],\n [\n -80.08801,\n 26.20576\n ],\n [\n -80.13156,\n 25.81677\n ],\n [\n -80.38103,\n 25.20616\n ],\n [\n -80.68,\n 25.08\n ],\n [\n -81.17213,\n 25.20126\n ],\n [\n -81.33,\n 25.64\n ],\n [\n -81.71,\n 25.87\n ],\n [\n -82.24,\n 26.73\n ],\n [\n -82.70515,\n 27.49504\n ],\n [\n -82.85526,\n 27.88624\n ],\n [\n -82.65,\n 28.55\n ],\n [\n -82.93,\n 29.1\n ],\n [\n -83.70959,\n 29.93656\n ],\n [\n -84.1,\n 30.09\n ],\n [\n -85.10882,\n 29.63615\n ],\n [\n -85.28784,\n 29.68612\n ],\n [\n -85.7731,\n 30.15261\n ],\n [\n -86.4,\n 30.4\n ],\n [\n -87.53036,\n 30.27433\n ],\n [\n -88.41782,\n 30.3849\n ],\n [\n -89.18049,\n 30.31598\n ],\n [\n -89.59383,\n 30.15999\n ],\n [\n -89.41373,\n 29.89419\n ],\n [\n -89.43,\n 29.48864\n ],\n [\n -89.21767,\n 29.29108\n ],\n [\n -89.40823,\n 29.15961\n ],\n [\n -89.77928,\n 29.30714\n ],\n [\n -90.15463,\n 29.11743\n ],\n [\n -90.88022,\n 29.14854\n ],\n [\n -91.62678,\n 29.677\n ],\n [\n -92.49906,\n 29.5523\n ],\n [\n -93.22637,\n 29.78375\n ],\n [\n -93.84842,\n 29.71363\n ],\n [\n -94.69,\n 29.48\n ],\n [\n -95.60026,\n 28.73863\n ],\n [\n -96.59404,\n 28.30748\n ],\n [\n -97.14,\n 27.83\n ],\n [\n -97.37,\n 27.38\n ],\n [\n -97.38,\n 26.69\n ],\n [\n -97.33,\n 26.21\n ],\n [\n -97.14,\n 25.87\n ],\n [\n -97.53,\n 25.84\n ],\n [\n -98.24,\n 26.06\n ],\n [\n -99.02,\n 26.37\n ],\n [\n -99.3,\n 26.84\n ],\n [\n -99.52,\n 27.54\n ],\n [\n -100.11,\n 28.11\n ],\n [\n -100.45584,\n 28.69612\n ],\n [\n -100.9576,\n 29.38071\n ],\n [\n -101.6624,\n 29.7793\n ],\n [\n -102.48,\n 29.76\n ],\n [\n -103.11,\n 28.97\n ],\n [\n -103.94,\n 29.27\n ],\n [\n -104.45697,\n 29.57196\n ],\n [\n -104.70575,\n 30.12173\n ],\n [\n -105.03737,\n 30.64402\n ],\n [\n -105.63159,\n 31.08383\n ],\n [\n -106.1429,\n 31.39995\n ],\n [\n -106.50759,\n 31.75452\n ],\n [\n -108.24,\n 31.75485\n ],\n [\n -108.24194,\n 31.34222\n ],\n [\n -109.035,\n 31.34194\n ],\n [\n -111.02361,\n 31.33472\n ],\n [\n -113.30498,\n 32.03914\n ],\n [\n -114.815,\n 32.52528\n ],\n [\n -114.72139,\n 32.72083\n ],\n [\n -115.99135,\n 32.61239\n ],\n [\n -117.12776,\n 32.53534\n ],\n [\n -117.29594,\n 33.04622\n ],\n [\n -117.944,\n 33.62124\n ],\n [\n -118.4106,\n 33.74091\n ],\n [\n -118.51989,\n 34.02778\n ],\n [\n -119.081,\n 34.078\n ],\n [\n -119.43884,\n 34.34848\n ],\n [\n -120.36778,\n 34.44711\n ],\n [\n -120.62286,\n 34.60855\n ],\n [\n -120.74433,\n 35.15686\n ],\n [\n -121.71457,\n 36.16153\n ],\n [\n -122.54747,\n 37.55176\n ],\n [\n -122.51201,\n 37.78339\n ],\n [\n -122.95319,\n 38.11371\n ],\n [\n -123.7272,\n 38.95166\n ],\n [\n -123.86517,\n 39.76699\n ],\n [\n -124.39807,\n 40.3132\n ],\n [\n -124.17886,\n 41.14202\n ],\n [\n -124.2137,\n 41.99964\n ],\n [\n -124.53284,\n 42.76599\n ],\n [\n -124.14214,\n 43.70838\n ],\n [\n -124.02053,\n 44.6159\n ],\n [\n -123.89893,\n 45.52341\n ],\n [\n -124.07963,\n 46.86475\n ],\n [\n -124.39567,\n 47.72017\n ],\n [\n -124.68721,\n 48.18443\n ],\n [\n -124.5661,\n 48.37971\n ],\n [\n -123.12,\n 48.04\n ],\n [\n -122.58736,\n 47.096\n ],\n [\n -122.34,\n 47.36\n ],\n [\n -122.5,\n 48.18\n ],\n [\n -122.84,\n 49\n ],\n [\n -120,\n 49\n ],\n [\n -117.03121,\n 49\n ],\n [\n -116.04818,\n 49\n ],\n [\n -113,\n 49\n ],\n [\n -110.05,\n 49\n ],\n [\n -107.05,\n 49\n ],\n [\n -104.04826,\n 48.99986\n ],\n [\n -100.65,\n 49\n ],\n [\n -97.22872,\n 49.0007\n ],\n [\n -95.15907,\n 49\n ],\n [\n -95.15609,\n 49.38425\n ],\n [\n -94.81758,\n 49.38905\n ]\n ]\n ]\n ]\n },\n \"properties\": {\n \"name\": \"United States\"\n }\n }\n ]\n}","volume":"58","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-09-15","publicationStatus":"PW","contributors":{"authors":[{"text":"King, Tyler V. 0000-0002-5785-3077","orcid":"https://orcid.org/0000-0002-5785-3077","contributorId":292424,"corporation":false,"usgs":true,"family":"King","given":"Tyler","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":851897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hundt, Stephen A. 0000-0002-6484-0637","orcid":"https://orcid.org/0000-0002-6484-0637","contributorId":204678,"corporation":false,"usgs":true,"family":"Hundt","given":"Stephen","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":851898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simonson, Amy E. 0000-0001-8468-5382","orcid":"https://orcid.org/0000-0001-8468-5382","contributorId":217671,"corporation":false,"usgs":true,"family":"Simonson","given":"Amy","email":"","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":851899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blasch, Kyle W. 0000-0002-0590-0724","orcid":"https://orcid.org/0000-0002-0590-0724","contributorId":203415,"corporation":false,"usgs":true,"family":"Blasch","given":"Kyle","email":"","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":851900,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70237003,"text":"70237003 - 2022 - Quantifying flow and nonflow management impacts on an endangered fish by integrating data, research, and expert opinion","interactions":[],"lastModifiedDate":"2022-09-27T15:28:07.8792","indexId":"70237003","displayToPublicDate":"2022-09-14T10:24:31","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying flow and nonflow management impacts on an endangered fish by integrating data, research, and expert opinion","docAbstract":"

Managers charged with recovering endangered species in regulated river segments often have limited flexibility to alter flow regimes and want estimates of the expected population benefits associated with both flow and nonflow management actions. Disentangling impacts on different life stages from concurrently applied actions is essential for determining the effectiveness of each action, but difficult without models that integrate multiple information sources. Here, we develop and fit an integrated population model for endangered Rio Grande Silvery Minnow (Hybognathus amarus) in the Middle Rio Grande, New Mexico. We integrate catch per unit effort monitoring data collected during 2002–2018 with population estimates, data collected during rescue of minnow from drying pools, habitat availability estimates, laboratory results, releases of hatchery reared minnow, and expert opinion. We use expert elicitation to develop a larval carrying capacity index as an informed proxy for the complex interactions among flow, habitat, and life history in this species. We evaluate the model using out-of-sample forecasts of 2019 and 2020, develop an algorithm to identify supplemental water releases that maximize benefits to the minnow, and quantify the effectiveness of various actions. Experts generally agreed on the duration and timing of flow requirements and disagreed regarding the importance of different magnitudes. The integrated model with the larval carrying capacity index outperformed two alternative models in forecasting catch in 2019 and 2020. The model estimates that minnow abundance varied by more than three orders of magnitude between 2002 and 2018 and that in a few years recruitment was limited by spawner abundance. Evaluation of the expected benefits of flow and nonflow management actions to fall population abundance across different years suggests that efficient addition of water to the base hydrograph is the most effective action in most, but not all years. Many actions are effective only under certain hydrologic and population conditions and the effectiveness of different actions varies in different sections of the study area. Widespread water extraction and river regulation combined with periodic drought and ongoing climate change may necessitate creative management of federally listed fish species in arid systems informed by thorough analyses of management effectiveness.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4240","usgsCitation":"Yackulic, C., Archdeacon, T.P., Valdez, R.A., Hobbs, M., Porter, M., Lusk, J., Tanner, A.M., Gonzales, E., Lee, D.Y., and Haggerty, G.M., 2022, Quantifying flow and nonflow management impacts on an endangered fish by integrating data, research, and expert opinion: Ecosphere, v. 13, no. 9, e4240, 22 p., https://doi.org/10.1002/ecs2.4240.","productDescription":"e4240, 22 p.","ipdsId":"IP-138221","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":446432,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4240","text":"Publisher Index Page"},{"id":407407,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"9","noUsgsAuthors":false,"publicationDate":"2022-09-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":853029,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Archdeacon, Thomas P","contributorId":296980,"corporation":false,"usgs":false,"family":"Archdeacon","given":"Thomas","email":"","middleInitial":"P","affiliations":[{"id":64264,"text":"U.S. Fish & Wildlife Service, New Mexico Fish & Wildlife Conservation Office, Albuquerque, NM, USA","active":true,"usgs":false}],"preferred":false,"id":853030,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Valdez, Richard A.","contributorId":204243,"corporation":false,"usgs":false,"family":"Valdez","given":"Richard","email":"","middleInitial":"A.","affiliations":[{"id":34515,"text":"SWCA Environmental Consultants","active":true,"usgs":false}],"preferred":false,"id":853031,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hobbs, Monika","contributorId":296981,"corporation":false,"usgs":false,"family":"Hobbs","given":"Monika","email":"","affiliations":[{"id":64265,"text":"Albuquerque Bernalillo County Water Utility Authority, Albuquerque, NM, USA","active":true,"usgs":false}],"preferred":false,"id":853032,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Porter, Michael D.","contributorId":139912,"corporation":false,"usgs":false,"family":"Porter","given":"Michael D.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":853033,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lusk, Joel","contributorId":296982,"corporation":false,"usgs":false,"family":"Lusk","given":"Joel","email":"","affiliations":[{"id":64266,"text":"US Bureau of Reclamation, Environment and Lands Division, Albuquerque, NM","active":true,"usgs":false}],"preferred":false,"id":853034,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tanner, Ashley M.","contributorId":264589,"corporation":false,"usgs":false,"family":"Tanner","given":"Ashley","email":"","middleInitial":"M.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":853035,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gonzales, Eric J","contributorId":296983,"corporation":false,"usgs":false,"family":"Gonzales","given":"Eric J","affiliations":[{"id":64267,"text":"U.S. Bureau of Reclamation, Albuquerque Area Office, Environment & Lands Division, Albuquerque, NM, USA","active":true,"usgs":false}],"preferred":false,"id":853036,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lee, Debbie Y","contributorId":296984,"corporation":false,"usgs":false,"family":"Lee","given":"Debbie","email":"","middleInitial":"Y","affiliations":[{"id":64268,"text":"Western EcoSystems Technology, Inc., Albuquerque, NM, USA","active":true,"usgs":false}],"preferred":false,"id":853037,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Haggerty, Grace M","contributorId":296985,"corporation":false,"usgs":false,"family":"Haggerty","given":"Grace","email":"","middleInitial":"M","affiliations":[{"id":64269,"text":"New Mexico Interstate Stream Commission, Albuquerque, NM, USA","active":true,"usgs":false}],"preferred":false,"id":853038,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70236642,"text":"70236642 - 2022 - Influence of riparian thinning on trophic pathways supporting stream food webs in forested watersheds","interactions":[],"lastModifiedDate":"2022-09-14T14:14:35.651422","indexId":"70236642","displayToPublicDate":"2022-09-13T09:11:27","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Influence of riparian thinning on trophic pathways supporting stream food webs in forested watersheds","docAbstract":"

Resource managers seek to thin second-growth riparian forests to address multiple stream and riparian management objectives, including enhancing aquatic productivity via light-mediated trophic pathways in watersheds of the Pacific Northwest (USA). However, such increases in aquatic productivity depend on complex food web dynamics that link riparian forests and streams. To evaluate how riparian forest thinning influences stream food webs, we conducted a replicated, manipulative field experiment in three northern California watersheds composed of second-growth redwood forests and tracked responses across multiple trophic levels (periphyton, macroinvertebrates, amphibians, and fish) 1 year pre- and post-treatment. Riparian thinning treatments increased light to the stream channel, yet we observed mixed responses by stream food webs. Thinning did not change stream periphyton biomass on natural substrates but increased periphyton accrual on ceramic tiles. Periphyton accrual appeared to be partially muted by top-down effects from invertebrate scrapers, which were more abundant in thinned reaches. Prey in the diets of top predators—coastal giant salamanders (Dicamptodon tenebrosus) and coastal cutthroat trout (Oncorhynchus clarkii clarkii)—did not change in biomass, composition, or structure in response to thinning and instead varied more seasonally and between predators. Stable isotope analysis indicated that shifts in carbon (δ13C) signatures of stream periphyton associated with thinning were reflected to varying extents by primary consumers but did not propagate up to top predators. Top predator biomass responses varied between species, where salamander biomass remained unchanged, but cutthroat trout biomass increased slightly in thinned reaches. However, trout biomass responses were not supported by diets or isotopes and correlated weakly with changes in light associated with thinning, suggesting little evidence that responses could be attributed directly to changes in autotrophic pathways. Furthermore, we found no evidence that local trophic responses to thinning propagated into downstream reaches. Taken together, we observed that trophic pathways supporting stream food webs remained largely intact immediately after riparian thinning treatments. Collectively, these results suggest that riparian thinning does not necessarily enhance aquatic productivity in forested streams, indicating that contextual factors driving realized ecological responses should be accounted for when considering thinning as a restoration strategy for stream–riparian ecosystems.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4219","usgsCitation":"Roon, D.A., Dunham, J.B., Bellmore, J.R., Olson, D., and Harvey, B.C., 2022, Influence of riparian thinning on trophic pathways supporting stream food webs in forested watersheds: Ecosphere, v. 13, no. 9, e4219, 24 p., https://doi.org/10.1002/ecs2.4219.","productDescription":"e4219, 24 p.","ipdsId":"IP-140593","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":446440,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4219","text":"Publisher Index Page"},{"id":406671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.60693359374999,\n 40.805493843894155\n ],\n [\n -123.56323242187499,\n 40.805493843894155\n ],\n [\n -123.56323242187499,\n 41.95131994679697\n ],\n [\n -124.60693359374999,\n 41.95131994679697\n ],\n [\n -124.60693359374999,\n 40.805493843894155\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"9","noUsgsAuthors":false,"publicationDate":"2022-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Roon, David A.","contributorId":267257,"corporation":false,"usgs":false,"family":"Roon","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":27847,"text":"Department of Fisheries and Wildlife, Oregon State University, Corvallis, Oregon","active":true,"usgs":false}],"preferred":false,"id":851613,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":851614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bellmore, J. Ryan","contributorId":271034,"corporation":false,"usgs":false,"family":"Bellmore","given":"J.","email":"","middleInitial":"Ryan","affiliations":[{"id":56260,"text":"U.S. Forest Service, Pacific Northwest Research Station, 11175 Auke Lake Way, Juneau, Alaska, 99801","active":true,"usgs":false}],"preferred":false,"id":851615,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olson, Deanna H.","contributorId":257261,"corporation":false,"usgs":false,"family":"Olson","given":"Deanna H.","affiliations":[{"id":51996,"text":"USDA Forest Service Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":851616,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harvey, Bret C.","contributorId":292678,"corporation":false,"usgs":false,"family":"Harvey","given":"Bret","email":"","middleInitial":"C.","affiliations":[{"id":62967,"text":"U.S. Forest Service, Pacific Southwest Research Station","active":true,"usgs":false}],"preferred":false,"id":851617,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70235865,"text":"sir20175070C - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Water resources","interactions":[{"subject":{"id":70235865,"text":"sir20175070C - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Water resources","indexId":"sir20175070C","publicationYear":"2022","noYear":false,"chapter":"C","displayTitle":"Potential Effects of Energy Development on Environmental Resources of the Williston Basin in Montana, North Dakota, and South Dakota—Water Resources","title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Water resources"},"predicate":"IS_PART_OF","object":{"id":70191166,"text":"sir20175070 - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota","indexId":"sir20175070","publicationYear":"2022","noYear":false,"title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota"},"id":1}],"isPartOf":{"id":70191166,"text":"sir20175070 - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota","indexId":"sir20175070","publicationYear":"2022","noYear":false,"title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota"},"lastModifiedDate":"2026-04-01T15:49:03.755037","indexId":"sir20175070C","displayToPublicDate":"2022-09-13T06:05:15","publicationYear":"2022","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":"2017-5070","chapter":"C","displayTitle":"Potential Effects of Energy Development on Environmental Resources of the Williston Basin in Montana, North Dakota, and South Dakota—Water Resources","title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Water resources","docAbstract":"

The Williston Basin has been a leading oil and gas producing area for more than 50 years. While oil production initially peaked within the Williston Basin in the mid-1980s, production rapidly increased in the mid-2000s, largely because of improved horizontal (directional) drilling and hydraulic fracturing methods. In 2012, energy development associated with the Bakken Formation was identified as a priority requiring collaboration toward improved timeliness of issuing permits for new wells combined with reasonable measures to maintain environmental quality. Shortly thereafter, the Bakken Federal Executive Group was created to address common challenges associated with energy development. The Bakken Federal Executive Group partner agencies identified a gap in current understanding of the cumulative environmental challenges attributed to energy development throughout the area, resulting in an effort to aggregate scientific data and identify additional research and information needs related to natural resources within areas of energy development in the Williston Basin. As part of this effort, water resources in the area (including groundwater; streams and rivers; and lakes, reservoirs, and wetlands) were characterized and described in terms of physical occurrence, flow characteristics, recharge, water quality, and water use. Similarly, waters produced during energy-development activities also were characterized even though these waters are not considered usable resources within the area. Groundwater resources were characterized by the major hydrogeologic units, or aquifers, identifying the units that supply most groundwater used for domestic, stock, agricultural, and industrial purposes. The groundwater characterization included other deeper hydrogeologic units in the Williston Basin that may be a useable source of water with treatment, have utility as a reservoir for reinjection of produced waters, or be a source of minerals and energy resources. A generalized groundwater budget and flow system identifying the sources of recharge (stream infiltration, precipitation, and movement [leakage] from other aquifers) and the general groundwater flow direction is included for each of the major hydrogeologic units. Rivers and streams within the Williston Basin with 10 or more years of continuous streamflow data were identified. For a subset of these sites, streamflow characteristics, including the monthly and annual mean flow, were generated to identify seasonal and interannual changes in streamflow and thus provide information on the drivers and reliability of streamflow at the seasonal or multiyear scale. Daily streamflow and annual extreme flows (peak and low flow) also were estimated for the subset of sites. The daily streamflow and annual extreme flow values provide information on short-term or extreme events that are relevant to infrastructure design and evaluating spills, leaks, or accidental discharges of water or petroleum products. Surface-water features (lakes, ponds, and wetlands) were classified using the Cowardin system and identified on the National Wetlands Inventory maps generated by the U.S. Fish and Wildlife Service. The spatial distribution of the surface-water features was analyzed by State, county, and specifically in comparison to the Prairie Pothole Region. The proximity of the surface-water features to energy development infrastructure (specifically oil or gas well pads) was evaluated. It was determined that, although oil or gas wells are often near a surface-water feature, most surface-water features do not have wells nearby, with the exception of wells in the Prairie Pothole Region. Water-quality data were aggregated from two data sources: (1) the Water-Quality Portal, sponsored by the U.S. Geological Survey (USGS), U.S. Environmental Protection Agency (EPA), and National Water Quality Monitoring Council; and (2) a data compilation completed as part of the USGS National Water-Quality Assessment project. The Water-Quality Portal integrates publicly available water-quality data from databases maintained by the USGS, EPA, and U.S. Department of Agriculture, including water-quality data from Tribal, State, and local databases. Water-quality data for 15 commonly measured water-quality constituents were aggregated for groundwater, rivers and streams, and lakes and reservoirs. For each aggregated dataset (groundwater, rivers and streams, and lakes and reservoirs), analyses of the water-quality data included summary statistics, maps of spatial distribution of constituent values, boxplots of constituent values by timeframe or hydrogeologic unit, spatial comparisons of site locations and constituent values to petroleum well density, and comparisons of the constituent values measured to EPA drinking-water standards/guidelines. Produced water includes all fluids brought to the surface along with the targeted hydrocarbons as part of the oil and gas exploration and extraction processes. These fluids may include formation water (waters that co-exist with rock/oil/gas), hydraulic fracturing fluids, and other combinations of water and chemicals used during oil and gas well drilling, development, treatments, recompletions, and workovers. Produced water datasets were aggregated from two sources: the USGS National Produced Waters Geochemical database (ver. 2.1) and a series of projects focused specifically on sampling produced water in the Williston Basin from 2010 to 2014. The National Produced Waters Geochemical database was useful for a general understanding of produced-water chemistry. Produced waters are characterized by extreme salinity and contain elevated concentrations of other constituents (including arsenic, barium, cadmium, lead, zinc, radium-226/radium-228, and ammonium) that could negatively affect water and aquatic resources if released. Produced waters also have a generally unique chemical (isotopic) signature that may be useful in tracking water from different geologic units; for example, the oxygen/deuterium and strontium ratio values measured in brine waters from the Bakken Formation are distinct from brines collected from other geologic units in the Williston Basin.

Water-use information related to energy production in the area also was aggregated and summarized. The summary of water use is not limited to oil and gas production but includes water used to produce all types of energy resources in the Williston Basin, including coal/lignite, thermoelectric power, oil and gas, hydropower, biomass and biofuels, wind, geothermal, and solar. Each State has its own methods for regulating and reporting water usage within its jurisdiction. These methods can introduce problems when examining water use from sources, such as the Missouri River or Fox Hills aquifer, that are shared across political boundaries. Without the one-to-one match for usage types and amounts used from a water source, it is difficult to develop a comprehensive water budget for the water source being evaluated. A large amount of freshwater is required to prepare a well for oil and gas well production; in some cases, 3 to 7 million gallons of water are needed per well. The EPA estimates that hydraulic fracturing in the Williston Basin uses between 70 to 140 billion gallons per year. Water also is used for myriad other purposes related to ancillary oil and gas extraction. In addition to water used for immediate energy development, the expanded human workforce migrating into the area and other support staff who have moved into the area during the development also use water.

Research and information needs were identified that could be relevant in the evaluation of the effects of energy development on water resources. Information needs related to the evaluation of groundwater resources include the following: improved potentiometric-surface maps for glacial units; availability of a uniform stream network digital geographic coverage that spans the international boundary with Canada; enhanced surface-water use information with regards to the gain and loss of streamflow to shallow groundwater, which would increase understanding groundwater and surface-water interactions; and expanded geophysical assessments. Gaps in the availability of streamflow data include the lack of information on ice-jam flooding despite potential for effects to infrastructure (pipelines, roads, and facilities) and an understanding of the cumulative effects of largely undocumented stock and diversion dams. Although this study resulted in the aggregation of a large quantity of water-quality data, the availability of consistently collected, systematically processed and reported data over large parts of the Williston Basin is sparse. Few samples have been analyzed for constituents that may indicate the effect of energy development on water resources. Constituents that could be considered include boron, chloride, bromide, iodine, fluoride, manganese, lithium, radium, strontium isotopes, volatile organic compounds, and isotopes of inorganic ions (such as hydrogen and carbon). Collaboration between Tribal, Federal, State, and local entities to identify a common study design, common monitoring constituents, and consistent sampling locations would generate datasets with broad utility and would likely result in overall cost savings for monitoring over time. Similarly, there is a need for standardized sample collection, processing, laboratory analytical methods, and the collection of ancillary data for produced waters sampling. Additional characterization of the range of chemical, microbial, and isotopic compositions and quantities of “end-member” produced waters, and the collection of time-series datasets to document the changes in produced waters during and after well development also were needs identified during this study. Water-use estimates would be improved through the implementation of comprehensive studies of water use from groundwater and surface-water sources using consistent methodologies across the Williston Basin. The submission of chemical and water data related to hydraulic fracturing collected by the oil and gas industry would add to the quantity of available data. Consistent implementation of regulations and monitoring controls across political boundaries (State, county, and international) would further improve the consistency of data available for the estimates of water use.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Potential Effects of Energy Development on Environmental Resources of the Williston Basin in Montana, North Dakota, and South Dakota","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175070C","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Bartos, T.T., Sando, S.K., Preston, T.M., Delzer, G.C., Lundgren, R.F., Nustad, R.A., Caldwell, R.R., Peterman, Z.E., Smith, B.D., Macek-Rowland, K.M., Bender, D.A., Frankforter, J.D., and Galloway, J.M., 2022, Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Water resources (ver. 1.1, October 2022): U.S. Geological Survey Scientific Investigations Report 2017–5070–C, 159 p., https://doi.org/10.3133/sir20175070C.","productDescription":"Report: xv, 159 p.; 1 Figure: 8.50 × 11.00 inches; Data Release","numberOfPages":"180","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-082945","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":405463,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5070/c/coverthb2.jpg"},{"id":408159,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5070/c/sir20175070c.pdf","text":"Report","size":"25.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5070–C"},{"id":408160,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2017/5070/c/versionHist.txt","text":"Version History","size":"2.88 kB","linkFileType":{"id":2,"text":"txt"}},{"id":405466,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77080B9","text":"USGS data release","linkHelpText":"Results of water resource data aggregations within areas of energy development in the Williston Basin in Montana, North Dakota, and South Dakota"},{"id":501945,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113506.htm","linkFileType":{"id":5,"text":"html"}},{"id":405465,"rank":2,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2017/5070/c/sir20175070c_fig09.pdf","text":"Figure 9 (layered)","size":"5.97 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Montana, North Dakota, South Dakota","otherGeospatial":"Williston Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.5,\n 45.120052841530544\n ],\n [\n -96.94335937499999,\n 45.120052841530544\n ],\n [\n -96.94335937499999,\n 49.009050809382046\n ],\n [\n -108.5,\n 49.009050809382046\n ],\n [\n -108.5,\n 45.120052841530544\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: September 13, 2022; Version 1.1: October 18, 2022","contact":"

Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Avenue
Helena, MT 59601

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-09-13","revisedDate":"2022-10-18","noUsgsAuthors":false,"publicationDate":"2022-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Bartos, Timothy T. 0000-0003-1803-4375 ttbartos@usgs.gov","orcid":"https://orcid.org/0000-0003-1803-4375","contributorId":1826,"corporation":false,"usgs":true,"family":"Bartos","given":"Timothy","email":"ttbartos@usgs.gov","middleInitial":"T.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":849550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sando, Steven K. 0000-0003-1206-1030 sksando@usgs.gov","orcid":"https://orcid.org/0000-0003-1206-1030","contributorId":1016,"corporation":false,"usgs":true,"family":"Sando","given":"Steven","email":"sksando@usgs.gov","middleInitial":"K.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":849551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Preston, Todd M. 0000-0002-8812-9233 tmpreston@usgs.gov","orcid":"https://orcid.org/0000-0002-8812-9233","contributorId":1664,"corporation":false,"usgs":true,"family":"Preston","given":"Todd","email":"tmpreston@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":849552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Delzer, Gregory C. 0000-0002-7077-4963 gcdelzer@usgs.gov","orcid":"https://orcid.org/0000-0002-7077-4963","contributorId":986,"corporation":false,"usgs":true,"family":"Delzer","given":"Gregory","email":"gcdelzer@usgs.gov","middleInitial":"C.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":849553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lundgren, Robert F. 0000-0001-7669-0552 rflundgr@usgs.gov","orcid":"https://orcid.org/0000-0001-7669-0552","contributorId":1657,"corporation":false,"usgs":true,"family":"Lundgren","given":"Robert","email":"rflundgr@usgs.gov","middleInitial":"F.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":849554,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nustad, Rochelle A. 0000-0002-4713-5944 ranustad@usgs.gov","orcid":"https://orcid.org/0000-0002-4713-5944","contributorId":1811,"corporation":false,"usgs":true,"family":"Nustad","given":"Rochelle","email":"ranustad@usgs.gov","middleInitial":"A.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":849555,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Caldwell, Rodney R. 0000-0002-2588-715X caldwell@usgs.gov","orcid":"https://orcid.org/0000-0002-2588-715X","contributorId":2577,"corporation":false,"usgs":true,"family":"Caldwell","given":"Rodney","email":"caldwell@usgs.gov","middleInitial":"R.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":849556,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Peterman, Zell E. 0000-0002-5694-8082 peterman@usgs.gov","orcid":"https://orcid.org/0000-0002-5694-8082","contributorId":167699,"corporation":false,"usgs":true,"family":"Peterman","given":"Zell","email":"peterman@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":849557,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, Bruce D. 0000-0002-1643-2997 bsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-1643-2997","contributorId":845,"corporation":false,"usgs":true,"family":"Smith","given":"Bruce","email":"bsmith@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":849558,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Macek-Rowland, Kathleen M. 0000-0003-2526-6860","orcid":"https://orcid.org/0000-0003-2526-6860","contributorId":219012,"corporation":false,"usgs":true,"family":"Macek-Rowland","given":"Kathleen M. ","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":849559,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bender, David A. 0000-0002-1269-0948 dabender@usgs.gov","orcid":"https://orcid.org/0000-0002-1269-0948","contributorId":985,"corporation":false,"usgs":true,"family":"Bender","given":"David","email":"dabender@usgs.gov","middleInitial":"A.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":849560,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Frankforter, Jill D. 0000-0003-0371-2313 jdfrankf@usgs.gov","orcid":"https://orcid.org/0000-0003-0371-2313","contributorId":1739,"corporation":false,"usgs":true,"family":"Frankforter","given":"Jill","email":"jdfrankf@usgs.gov","middleInitial":"D.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":849561,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Galloway, Joel M. 0000-0002-9836-9724 jgallowa@usgs.gov","orcid":"https://orcid.org/0000-0002-9836-9724","contributorId":1562,"corporation":false,"usgs":true,"family":"Galloway","given":"Joel","email":"jgallowa@usgs.gov","middleInitial":"M.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":849562,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70190279,"text":"sir20175070B - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Physiography, climate, land use, and demographics","interactions":[{"subject":{"id":70190279,"text":"sir20175070B - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Physiography, climate, land use, and demographics","indexId":"sir20175070B","publicationYear":"2022","noYear":false,"chapter":"B","displayTitle":"Potential Effects of Energy Development on Environmental Resources of the Williston Basin in Montana, North Dakota, and South Dakota—Physiography, Climate, Land Use, and Demographics","title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Physiography, climate, land use, and demographics"},"predicate":"IS_PART_OF","object":{"id":70191166,"text":"sir20175070 - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota","indexId":"sir20175070","publicationYear":"2022","noYear":false,"title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota"},"id":1}],"isPartOf":{"id":70191166,"text":"sir20175070 - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota","indexId":"sir20175070","publicationYear":"2022","noYear":false,"title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota"},"lastModifiedDate":"2026-04-01T15:46:50.999445","indexId":"sir20175070B","displayToPublicDate":"2022-09-13T06:03:50","publicationYear":"2022","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":"2017-5070","chapter":"B","displayTitle":"Potential Effects of Energy Development on Environmental Resources of the Williston Basin in Montana, North Dakota, and South Dakota—Physiography, Climate, Land Use, and Demographics","title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Physiography, climate, land use, and demographics","docAbstract":"

The Williston Basin has been a leading domestic oil and gas producing region. As energy demands have increased, so has energy development. A group of 13 Federal agencies and Tribal groups formed the Bakken Federal Executive Group to address common challenges associated with energy development, with a focus on understanding the cumulative environmental challenges attributed to oil and gas development throughout the basin. To better understand the natural resources in the Williston Basin, the U.S. Geological Survey, in cooperation with the Bureau of Land Management, began work to synthesize existing information on science topics that will support management decisions related to energy development. This report is a compilation of information regarding the natural setting, energy development history, demographics, and related investigations related to energy development in the Williston Basin of Montana, North Dakota, and South Dakota. Completed and ongoing investigations include the topical areas of unconventional oil and gas assessments, water quality, water availability, air quality, effects on human health, and ecological effects.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Potential Effects of Energy Development on Environmental Resources of the Williston Basin in Montana, North Dakota, and South Dakota","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20175070B","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Vining, K.C., Thamke, J.N., and Post van der Burg, M., 2022, Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Physiography, climate, land use, and demographics: U.S. Geological Survey Scientific Investigations Report 2017–5070–B, 32 p., https://doi.org/10.3133/sir20175070B.","productDescription":"Report: viii, 32 p.; 5 Data Releases; 1 Dataset","numberOfPages":"44","onlineOnly":"Y","ipdsId":"IP-079409","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":501944,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113505.htm","linkFileType":{"id":5,"text":"html"}},{"id":405585,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NY3UJU","text":"USGS data release","linkHelpText":"Ground conductivity measurements at selected National Wildlife Refuges, Montana and North Dakota, 2017–2018"},{"id":405583,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FACTT3","text":"USGS data release","linkHelpText":"MODFLOW-NWT model of predictive simulations of groundwater response to selected scenarios in the Williston Basin, United States and Canada"},{"id":405584,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F75B01CZ","text":"USGS data release","linkHelpText":"MODFLOW-NWT model used to assess groundwater availability in the uppermost principal aquifer systems of the Williston structural basin, United States and Canada"},{"id":405586,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7DB8141","text":"USGS data release","linkHelpText":"Macroinvertebrate and water quality data from the Prairie Pothole Region of the Williston Basin (2014–2016)"},{"id":405581,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5070/b/coverthb.jpg"},{"id":405582,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5070/b/sir20175070b.pdf","text":"Report","size":"3.92 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5070–B"},{"id":405587,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IMF7CH","text":"USGS data release","linkHelpText":"Water quality data from the Goose Lake study site, eastern Montana 1989–2018"},{"id":405588,"rank":8,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"}],"country":"United States","state":"Montana, North Dakota, South Dakota","otherGeospatial":"Williston Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.5,\n 45.120052841530544\n ],\n [\n -96.94335937499999,\n 45.120052841530544\n ],\n [\n -96.94335937499999,\n 49.009050809382046\n ],\n [\n -108.5,\n 49.009050809382046\n ],\n [\n -108.5,\n 45.120052841530544\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Dakota Water Science Center
U.S. Geological Survey
821 East Interstate Avenue, Bismarck, ND 58503
1608 Mountain View Road, Rapid City, SD 57702

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-09-13","noUsgsAuthors":false,"publicationDate":"2022-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Vining, Kevin C. 0000-0001-5738-3872 kcvining@usgs.gov","orcid":"https://orcid.org/0000-0001-5738-3872","contributorId":308,"corporation":false,"usgs":true,"family":"Vining","given":"Kevin","email":"kcvining@usgs.gov","middleInitial":"C.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":708262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thamke, Joanna N. 0000-0002-6917-1946 jothamke@usgs.gov","orcid":"https://orcid.org/0000-0002-6917-1946","contributorId":1012,"corporation":false,"usgs":true,"family":"Thamke","given":"Joanna N.","email":"jothamke@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":708263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":708264,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70190940,"text":"sir20175070A - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Executive summary","interactions":[{"subject":{"id":70190940,"text":"sir20175070A - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Executive summary","indexId":"sir20175070A","publicationYear":"2022","noYear":false,"chapter":"A","displayTitle":"Potential Effects of Energy Development on Environmental Resources of the Williston Basin in Montana, North Dakota, and South Dakota—Executive Summary","title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Executive summary"},"predicate":"IS_PART_OF","object":{"id":70191166,"text":"sir20175070 - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota","indexId":"sir20175070","publicationYear":"2022","noYear":false,"title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota"},"id":1}],"isPartOf":{"id":70191166,"text":"sir20175070 - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota","indexId":"sir20175070","publicationYear":"2022","noYear":false,"title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota"},"lastModifiedDate":"2026-04-01T15:42:07.146501","indexId":"sir20175070A","displayToPublicDate":"2022-09-13T06:02:44","publicationYear":"2022","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":"2017-5070","chapter":"A","displayTitle":"Potential Effects of Energy Development on Environmental Resources of the Williston Basin in Montana, North Dakota, and South Dakota—Executive Summary","title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Executive summary","docAbstract":"

Executive Summary

The Williston Basin, which includes parts of Montana, North Dakota, and South Dakota in the United States and parts of Manitoba and Saskatchewan in Canada, has been explored as a potential source of energy resources since the early 20th century; however, commercially viable petroleum drilling and recovery began in earnest in the 1950s. When oil prices rose in the mid-1980s, the number of wells also increased and then subsequently declined. Interest in the Williston Basin increased again in the mid-2000s with the application of new drilling technology. Since then, development has increased rather quickly. Most of this new development has been facilitated by advances in horizontal drilling and hydraulic fracturing technologies. The North Dakota Department of Mineral Resources reported an increase of more than 10,000 producing wells between 2000 and the spring of 2016. In total, 84 percent of those 10,000 wells target the Bakken Formation, which is now home to one of the Nation’s largest energy booms. Current estimates suggest that exploration and drilling activities are expected to continue for the next 20 to 50 years; however, future activity will likely ebb and flow in response to energy prices.

Although most energy has been developed on non-Federal property, more than 2,000 wells were started on federally managed lands in the three States that contain the Williston Basin between 2004 and 2015, though these numbers do not reflect whether or not these wells targeted the Bakken Formation. Executive Order no. 13604 (March 22, 2012) directs Federal agencies to improve the timeliness of the permitting process for extracting publically owned minerals, while minimizing negative environmental effects. This means that Federal agencies need information about how energy development may affect other resources they are tasked with managing. One example of where information about potential effects of development may be useful is the Bureau of Land Management’s permitting process. Permits may include stipulations or special conditions that limit unforeseen negative consequences or ameliorate potential conflicts of future development. Federal agencies also need to coordinate permitting actions to ensure that development complies with existing regulations (for example, the Endangered Species Act [16 U.S.C. § 1531 et seq.] or the National Environmental Protection Act [42 U.S.C. § 4321 et seq.]) without unnecessarily restricting or delaying development. Part of this coordination entails agreeing on the information that will be used to assess the potential effects of energy development, which should also improve efficiency of the permitting process. Within the Williston Basin, a group of Federal agencies called the Bakken Federal Executive Group is developing coordination strategies for numerous energy-related issues on Federal lands. This report was developed in cooperation with the Bureau of Land Management to provide them with the best available scientific information to support documentation of potential effects on resources that Federal agencies manage. This report summarizes information about the effects of energy development on air, water, and biological resources within the U.S. part of the Williston Basin.

The topics discussed in the report were based on a prioritized list of information needs elicited from the Bakken Federal Executive Group. The list was developed using a process known as structured decision making or decision analysis. This process began with an initial scoping workshop to determine the range of decisions made by those involved directly in managing energy development and resources on public land. U.S. Geological Survey staff then developed a simple quantitative ranking tool to assess which information needs were of greatest importance to those decisions.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20175070A","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Post van der Burg, M., Vining, K.C., and Frankforter, J.D., 2022, Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Executive summary: U.S. Geological Survey Scientific Investigations Report 2017–5070–A, 7 p., https://doi.org/10.3133/sir20175070A.","productDescription":"Report: v, 7 p.; Appendix","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-088211","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":501943,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113504.htm","linkFileType":{"id":5,"text":"html"}},{"id":405441,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2017/5070/a/sir20175070a_appendixa1.pdf","text":"Appendix A1","size":"625 kB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"—Summary of Scoping Process for Bakken Environmental Status and Trends (BEST) Report"},{"id":405439,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5070/a/coverthb2.jpg"},{"id":405440,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5070/a/sir20175070a.pdf","text":"Report","size":"0.99 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5070–A"}],"country":"United States","state":"Montana, North Dakota, South Dakota","otherGeospatial":"Williston Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.5,\n 45.120052841530544\n ],\n [\n -96.94335937499999,\n 45.120052841530544\n ],\n [\n -96.94335937499999,\n 49.009050809382046\n ],\n [\n -108.5,\n 49.009050809382046\n ],\n [\n -108.5,\n 45.120052841530544\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, ND 58401

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-09-13","noUsgsAuthors":false,"publicationDate":"2022-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Post van der Burg, Max 0000-0002-3943-4194","orcid":"https://orcid.org/0000-0002-3943-4194","contributorId":216013,"corporation":false,"usgs":true,"family":"Post van der Burg","given":"Max","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":763643,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vining, Kevin C. 0000-0001-5738-3872","orcid":"https://orcid.org/0000-0001-5738-3872","contributorId":216014,"corporation":false,"usgs":true,"family":"Vining","given":"Kevin C.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763644,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frankforter, Jill D. 0000-0003-0371-2313","orcid":"https://orcid.org/0000-0003-0371-2313","contributorId":216015,"corporation":false,"usgs":true,"family":"Frankforter","given":"Jill","email":"","middleInitial":"D.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763645,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191166,"text":"sir20175070 - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota","interactions":[{"subject":{"id":70189992,"text":"sir20175070D - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Species of conservation concern","indexId":"sir20175070D","publicationYear":"2022","noYear":false,"chapter":"D","displayTitle":"Potential Effects of Energy Development on Environmental Resources of the Williston Basin in Montana, North Dakota, and South Dakota—Species of Conservation Concern","title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Species of conservation concern"},"predicate":"IS_PART_OF","object":{"id":70191166,"text":"sir20175070 - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota","indexId":"sir20175070","publicationYear":"2022","noYear":false,"title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota"},"id":1},{"subject":{"id":70190279,"text":"sir20175070B - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Physiography, climate, land use, and demographics","indexId":"sir20175070B","publicationYear":"2022","noYear":false,"chapter":"B","displayTitle":"Potential Effects of Energy Development on Environmental Resources of the Williston Basin in Montana, North Dakota, and South Dakota—Physiography, Climate, Land Use, and Demographics","title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Physiography, climate, land use, and demographics"},"predicate":"IS_PART_OF","object":{"id":70191166,"text":"sir20175070 - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota","indexId":"sir20175070","publicationYear":"2022","noYear":false,"title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota"},"id":2},{"subject":{"id":70190940,"text":"sir20175070A - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Executive summary","indexId":"sir20175070A","publicationYear":"2022","noYear":false,"chapter":"A","displayTitle":"Potential Effects of Energy Development on Environmental Resources of the Williston Basin in Montana, North Dakota, and South Dakota—Executive Summary","title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Executive summary"},"predicate":"IS_PART_OF","object":{"id":70191166,"text":"sir20175070 - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota","indexId":"sir20175070","publicationYear":"2022","noYear":false,"title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota"},"id":3},{"subject":{"id":70235865,"text":"sir20175070C - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Water resources","indexId":"sir20175070C","publicationYear":"2022","noYear":false,"chapter":"C","displayTitle":"Potential Effects of Energy Development on Environmental Resources of the Williston Basin in Montana, North Dakota, and South Dakota—Water Resources","title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Water resources"},"predicate":"IS_PART_OF","object":{"id":70191166,"text":"sir20175070 - 2022 - Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota","indexId":"sir20175070","publicationYear":"2022","noYear":false,"title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota"},"id":4}],"lastModifiedDate":"2022-09-13T12:44:32.226263","indexId":"sir20175070","displayToPublicDate":"2022-09-13T00:00:00","publicationYear":"2022","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":"2017-5070","displayTitle":"Potential Effects of Energy Development on Environmental Resources of the Williston Basin in Montana, North Dakota, and South Dakota","title":"Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota","docAbstract":"

About this volume

The Williston Basin, which includes parts of Montana, North Dakota, and South Dakota in the United States, has been a leading domestic oil and gas producing area. To better understand the potential effects of energy development on environmental resources in the Williston Basin, the U.S. Geological Survey, in cooperation with the Bureau of Land Management, and in support of the needs identified by the Bakken Federal Executive Group (consisting of representatives from 13 Federal agencies and Tribal groups), began work to synthesize existing information on science topics to support management decisions related to energy development. This report is divided into four chapters (A–D). Chapter A provides an executive summary of the report and principal findings from chapters B–D. Chapter B provides a brief compilation of information regarding the history of energy development, physiography, climate, land use, demographics, and related studies in the Williston Basin. Chapter C synthesizes current information about water resources, identifies potential effects from energy development, and summarizes water resources research and information needs in the Williston Basin. Chapter D summarizes information about ecosystems, species of conservation concern, and potential effects to those species from energy development in the Williston Basin.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175070","collaboration":"Prepared in cooperation with the Bureau of Land Management","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":406591,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5070/sir20175070.pdf","text":"Document","size":"890 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5070"},{"id":346146,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5070/coverthb2.jpg"}],"country":"United States","state":"Montana, North Dakota, South Dakota","otherGeospatial":"Williston Basin","contact":"

Director, Dakota Water Science Center
U.S. Geological Survey
821 East Interstate Avenue, Bismarck, ND 58503
1608 Mountain View Road, Rapid City, SD 57702

Director, Northern Prairie Wildlife Research Center 
U.S. Geological Survey 
8711 37th Street Southeast 
Jamestown, ND 58401

Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Avenue
Helena, MT 59601

Contact Pubs Warehouse

","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-09-13","noUsgsAuthors":false,"publicationDate":"2022-09-13","publicationStatus":"PW","scienceBaseUri":"59ce0a27e4b05fe04cc020fc"} ,{"id":70236576,"text":"70236576 - 2022 - Integrated modeling of dynamic marsh feedbacks and evolution under sea-level rise in a mesotidal estuary (Plum Island, MA, USA)","interactions":[],"lastModifiedDate":"2022-09-12T13:40:47.337166","indexId":"70236576","displayToPublicDate":"2022-09-12T08:30:46","publicationYear":"2022","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":"Integrated modeling of dynamic marsh feedbacks and evolution under sea-level rise in a mesotidal estuary (Plum Island, MA, USA)","docAbstract":"

Around the world, wetland vulnerability to sea-level rise (SLR) depends on different factors including tidal regimes, topography, creeks and estuary geometry, sediment availability, vegetation type, etc. The Plum Island estuary (PIE) is a mesotidal wetland system on the east coast of the United States. This research applied a newly updated Hydro-MEM (integrated hydrodynamic-marsh) model to assess the impacts of intermediate-low (50 cm), intermediate (1 m), and intermediate-high (1.5 m) SLR on marsh evolution by the year 2100. Model advancements include capturing vegetation change, inorganic and below and aboveground organic matter portion of marsh platform accretion, and mudflat creation. Although the results indicate a low vulnerability marsh at the PIE, the vegetation changes from high to low marsh under all SLR scenarios (2%–22%), with the higher bounds belonging to higher rise scenarios. Lower SLR produces more productive marsh (13% gain in high productivity regions), whereas the highest SLR scenario causes increased tidal inundation, which leads to loss in productivity (12% change from high to low productivity regions), generation of mudflats (17% of the domain land), and marsh migration to higher lands. Sensitive nonlinear tidal flow changes, which may be increased or decreased with SLR as a result of mudflat creation, marsh migration, and bottom friction change, emphasize the importance of integrated modeling approaches that include dynamic marsh feedbacks in hydrodynamic modeling and varying hydrodynamic effects on the marsh system.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022WR032225","usgsCitation":"Alizad, K., Morris, J.T., Bilskie, M.V., Passeri, D., and Hagen, S.C., 2022, Integrated modeling of dynamic marsh feedbacks and evolution under sea-level rise in a mesotidal estuary (Plum Island, MA, USA): Water Resources Research, v. 58, no. 8, e2022WR032225, 18 p., https://doi.org/10.1029/2022WR032225.","productDescription":"e2022WR032225, 18 p.","ipdsId":"IP-141664","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":446448,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022wr032225","text":"Publisher Index Page"},{"id":406523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Plum Island, Plum Island Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.76911926269531,\n 42.6910158708481\n ],\n [\n -70.76946258544922,\n 42.705902701379095\n ],\n [\n -70.7900619506836,\n 42.7465079275724\n ],\n [\n -70.8017349243164,\n 42.77952735024637\n ],\n [\n -70.806884765625,\n 42.805728711206285\n ],\n [\n -70.8072280883789,\n 42.81555136172695\n ],\n [\n -70.81409454345703,\n 42.82411342527865\n ],\n [\n -70.82199096679688,\n 42.82335799677517\n ],\n [\n -70.82405090332031,\n 42.828394012437435\n ],\n [\n -70.82027435302734,\n 42.83015652099459\n ],\n [\n -70.8237075805664,\n 42.83267430318037\n ],\n [\n -70.82817077636719,\n 42.83166720261409\n ],\n [\n -70.83023071289062,\n 42.824868844551254\n ],\n [\n -70.83812713623047,\n 42.8243652327285\n ],\n [\n -70.8511734008789,\n 42.820839835096685\n ],\n [\n -70.86421966552734,\n 42.81655872485931\n ],\n [\n -70.86936950683594,\n 42.82008436659316\n ],\n [\n -70.87554931640625,\n 42.81252917386999\n ],\n [\n -70.86524963378906,\n 42.80925497036223\n ],\n [\n -70.84774017333984,\n 42.79791985058024\n ],\n [\n -70.83641052246094,\n 42.79716410208585\n ],\n [\n -70.82439422607422,\n 42.798675589844414\n ],\n [\n -70.82199096679688,\n 42.79363715373566\n ],\n [\n -70.81581115722656,\n 42.7855748026938\n ],\n [\n -70.81478118896484,\n 42.780535300008914\n ],\n [\n -70.81855773925781,\n 42.772975276836696\n ],\n [\n -70.82267761230469,\n 42.7679347486335\n ],\n [\n -70.81855773925781,\n 42.76390203072845\n ],\n [\n -70.81993103027344,\n 42.75961698030662\n ],\n [\n -70.82611083984375,\n 42.7628938102328\n ],\n [\n -70.83709716796875,\n 42.76465818533266\n ],\n [\n -70.85975646972656,\n 42.765666377114776\n ],\n [\n -70.87074279785156,\n 42.75659206040031\n ],\n [\n -70.87039947509766,\n 42.75356699282749\n ],\n [\n -70.86524963378906,\n 42.75356699282749\n ],\n [\n -70.8570098876953,\n 42.76112938488444\n ],\n [\n -70.84121704101561,\n 42.75961698030662\n ],\n [\n -70.82988739013672,\n 42.75633997707593\n ],\n [\n -70.82714080810547,\n 42.75230650442363\n ],\n [\n -70.8237075805664,\n 42.74549942405071\n ],\n [\n -70.82748413085938,\n 42.7404566603398\n ],\n [\n -70.81993103027344,\n 42.73566565489753\n ],\n [\n -70.82199096679688,\n 42.733648278704386\n ],\n [\n -70.8346939086914,\n 42.736926481692684\n ],\n [\n -70.84739685058594,\n 42.73591782230738\n ],\n [\n -70.85186004638672,\n 42.73213520349279\n ],\n [\n -70.84808349609375,\n 42.73036990242392\n ],\n [\n -70.85735321044922,\n 42.72658694523052\n ],\n [\n -70.84808349609375,\n 42.724569273725855\n ],\n [\n -70.84362030029297,\n 42.72658694523052\n ],\n [\n -70.83641052246094,\n 42.725325908230396\n ],\n [\n -70.82714080810547,\n 42.7205337338456\n ],\n [\n -70.82439422607422,\n 42.71624568510944\n ],\n [\n -70.82542419433592,\n 42.709939192779224\n ],\n [\n -70.83538055419922,\n 42.70262285884388\n ],\n [\n -70.8343505859375,\n 42.696567309696974\n ],\n [\n -70.82508087158203,\n 42.70035209712158\n ],\n [\n -70.81993103027344,\n 42.70035209712158\n ],\n [\n -70.8175277709961,\n 42.70464124398721\n ],\n [\n -70.8123779296875,\n 42.705902701379095\n ],\n [\n -70.80997467041014,\n 42.70893009453698\n ],\n [\n -70.80345153808594,\n 42.709939192779224\n ],\n [\n -70.79898834228516,\n 42.70741641641384\n ],\n [\n -70.8024215698242,\n 42.70665956351041\n ],\n [\n -70.80070495605469,\n 42.70262285884388\n ],\n [\n -70.79383850097656,\n 42.69959515809203\n ],\n [\n -70.79933166503906,\n 42.69681963603568\n ],\n [\n -70.80482482910156,\n 42.70211825230498\n ],\n [\n -70.80997467041014,\n 42.696314982332986\n ],\n [\n -70.82096099853516,\n 42.691772914457104\n ],\n [\n -70.81306457519531,\n 42.69051116998238\n ],\n [\n -70.82199096679688,\n 42.68470681526209\n ],\n [\n -70.82748413085938,\n 42.68622104704278\n ],\n [\n -70.83126068115234,\n 42.68369730690313\n ],\n [\n -70.82782745361328,\n 42.68117346423806\n ],\n [\n -70.82130432128906,\n 42.68041629144619\n ],\n [\n -70.81066131591797,\n 42.685463935766094\n ],\n [\n -70.8017349243164,\n 42.68647341541784\n ],\n [\n -70.8017349243164,\n 42.69152056761273\n ],\n [\n -70.78834533691406,\n 42.692025260276225\n ],\n [\n -70.78010559082031,\n 42.690258818011635\n ],\n [\n -70.76911926269531,\n 42.6910158708481\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"58","issue":"8","noUsgsAuthors":false,"publicationDate":"2022-08-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Alizad, Karim 0000-0002-9174-0164","orcid":"https://orcid.org/0000-0002-9174-0164","contributorId":294384,"corporation":false,"usgs":true,"family":"Alizad","given":"Karim","email":"","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":851429,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morris, James T.","contributorId":288074,"corporation":false,"usgs":false,"family":"Morris","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":61699,"text":"Belle W. Baruch Institute for Marine and Coastal Sciences, University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":851430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bilskie, Matthew V.","contributorId":166891,"corporation":false,"usgs":false,"family":"Bilskie","given":"Matthew","email":"","middleInitial":"V.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":851431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Passeri, Davina 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":851432,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hagen, Scott C.","contributorId":166890,"corporation":false,"usgs":false,"family":"Hagen","given":"Scott","email":"","middleInitial":"C.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":851433,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70262373,"text":"70262373 - 2022 - Atlantic spotted and bottlenose dolphin sympatric distribution in nearshore waters off Bimini, The Bahamas, 2003–2018","interactions":[],"lastModifiedDate":"2025-01-22T17:37:58.847686","indexId":"70262373","displayToPublicDate":"2022-09-12T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1185,"text":"Caribbean Journal of Science","active":true,"publicationSubtype":{"id":10}},"title":"Atlantic spotted and bottlenose dolphin sympatric distribution in nearshore waters off Bimini, The Bahamas, 2003–2018","docAbstract":"

Within nearshore waters off Bimini, The Bahamas, Atlantic spotted (Stenella frontalis) and common bottlenose (Tursiops truncatus) dolphins are sympatric but separated spatially in different geographic areas and water depth ranges. Afternoon surveys during summer months across a 16-year period showed S. frontalis used the northern part of the nearshore area more, while T. truncatus used the southern area more. Generally, examination of geographic zones and water depth distributions of both species before and after construction of a pier in the study area suggested these dolphins were not impacted, long-term, by this anthropogenic activity. Still some differences in use of the nearshore area were identified. For water depth, S. frontalis varied use between 5–<12 m and 12–<20 m, depending on location along the coast. In contrast, T. truncatus consistently used the 5–<12 m depths. This difference may be related to how each species used the nearshore area, with T. truncatus feeding more and S. frontalis travelling and doing other activities. A small change in the distribution of S. frontalis by water depth off the northern coast of Bimini was found, specifically an increased use of deeper (12–20 m) water post 2014, which is unlikely an effect of pier construction as S. frontalis continued to use the 5–12 m depths as they had before pier construction. How this change might be related to an unprecedented 2013 S. frontalis immigration event, which might have disrupted the social structure, habitat/resource use, and distribution of both species, is discussed.

","language":"English","publisher":"BioOne","doi":"10.18475/cjos.v52i2.a3","usgsCitation":"Levengood, A., Melillo-Sweeting, K., Ribic, C., Beck, A., and Dudzinski, K., 2022, Atlantic spotted and bottlenose dolphin sympatric distribution in nearshore waters off Bimini, The Bahamas, 2003–2018: Caribbean Journal of Science, v. 52, no. 2, p. 162-176, https://doi.org/10.18475/cjos.v52i2.a3.","productDescription":"15 p.","startPage":"162","endPage":"176","ipdsId":"IP-136851","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":480942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"The Bahamas","otherGeospatial":"Bimini","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -79.37704714400411,\n 25.826924686024014\n ],\n [\n -79.37704714400411,\n 25.649096003650968\n ],\n [\n -79.1858998236686,\n 25.649096003650968\n ],\n [\n -79.1858998236686,\n 25.826924686024014\n ],\n [\n -79.37704714400411,\n 25.826924686024014\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Levengood, Alexis L.","contributorId":349054,"corporation":false,"usgs":false,"family":"Levengood","given":"Alexis L.","affiliations":[{"id":82938,"text":"University of the Sunshine Coast","active":true,"usgs":false}],"preferred":false,"id":923960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melillo-Sweeting, Kelly","contributorId":349055,"corporation":false,"usgs":false,"family":"Melillo-Sweeting","given":"Kelly","affiliations":[{"id":56353,"text":"Dolphin Communication Project","active":true,"usgs":false}],"preferred":false,"id":923961,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923962,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beck, Albert J.","contributorId":349056,"corporation":false,"usgs":false,"family":"Beck","given":"Albert J.","affiliations":[{"id":83418,"text":"Wisconsin Cooperative Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":923963,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dudzinski, Kathleen M.","contributorId":349057,"corporation":false,"usgs":false,"family":"Dudzinski","given":"Kathleen M.","affiliations":[{"id":56353,"text":"Dolphin Communication Project","active":true,"usgs":false}],"preferred":false,"id":923964,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70236925,"text":"70236925 - 2022 - The influence of satellite-derived environmental and oceanographic parameters on marine turtle time at surface in the Gulf of Mexico","interactions":[],"lastModifiedDate":"2023-06-08T14:53:45.645206","indexId":"70236925","displayToPublicDate":"2022-09-11T06:39:55","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"The influence of satellite-derived environmental and oceanographic parameters on marine turtle time at surface in the Gulf of Mexico","docAbstract":"
The aftermath of the 2010 Deepwater Horizon oil spill highlighted the lack of baseline spatial, behavioral, and abundance data for many species, including imperiled marine turtles, across the Gulf of Mexico. The ecology of marine turtles is closely tied to their vertical movements within the water column and is therefore critical knowledge for resource management in a changing ocean. A more comprehensive understanding of diving behavior, specifically surface intervals, can improve the accuracy of density and abundance estimates by mitigating availability bias. Here, we focus on the proportion of time marine turtles spend at the top 2 m of the water column to coincide with depths where turtles are assumed visible to observers during aerial surveys. To better understand what environmental and oceanographic conditions influence time at surface, we analyzed dive and spatial data from 136 satellite tags attached to three species of threatened or endangered marine turtles across 10 years. We fit generalized additive models with 11 remotely sensed covariates, including sea surface temperature (SST), bathymetry, and salinity, to examine dive patterns. Additionally, the developed model is the first to explicitly examine the potential connection between turtle dive patterns and ocean frontal zones in the Gulf of Mexico. Our results show species-specific associations of environmental covariates related to increased time at surface, particularly for depth, salinity, and frontal features. We define seasonal and spatial variation in time-at-surface patterns in an effort to contribute to marine turtle density and abundance estimates. These estimates could then be utilized to generate correction factors for turtle detection availability during aerial surveys.
","language":"English","publisher":"MDPI","doi":"10.3390/rs14184534","usgsCitation":"Roberts, K.E., Garrison, L.P., Ortega-Ortiz, J.G., Hu, C., Zhang, Y., Sasso, C.R., Lamont, M., and Hart, K., 2022, The influence of satellite-derived environmental and oceanographic parameters on marine turtle time at surface in the Gulf of Mexico: Remote Sensing, v. 14, no. 18, 4534, 17 p.; Data Release, https://doi.org/10.3390/rs14184534.","productDescription":"4534, 17 p.; Data Release","ipdsId":"IP-141428","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":446475,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs14184534","text":"Publisher Index Page"},{"id":407207,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417826,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92MDH2H"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -101.42578124999999,\n 24.5271348225978\n ],\n [\n -80.33203125,\n 24.5271348225978\n ],\n [\n -80.33203125,\n 32.84267363195431\n ],\n [\n -101.42578124999999,\n 32.84267363195431\n ],\n [\n -101.42578124999999,\n 24.5271348225978\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"18","noUsgsAuthors":false,"publicationDate":"2022-09-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Roberts, Kelsey E. 0000-0001-8422-632X","orcid":"https://orcid.org/0000-0001-8422-632X","contributorId":296892,"corporation":false,"usgs":true,"family":"Roberts","given":"Kelsey","email":"","middleInitial":"E.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":852714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garrison, Lance P.","contributorId":296893,"corporation":false,"usgs":false,"family":"Garrison","given":"Lance","email":"","middleInitial":"P.","affiliations":[{"id":64230,"text":"NOAA-NMFS Southwest Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":852715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ortega-Ortiz, Joel G.","contributorId":149521,"corporation":false,"usgs":false,"family":"Ortega-Ortiz","given":"Joel","email":"","middleInitial":"G.","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":852716,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hu, Chuanmin","contributorId":177055,"corporation":false,"usgs":false,"family":"Hu","given":"Chuanmin","email":"","affiliations":[],"preferred":false,"id":852717,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhang, Yingjun","contributorId":296895,"corporation":false,"usgs":false,"family":"Zhang","given":"Yingjun","email":"","affiliations":[{"id":39269,"text":"USF College of Marine Science","active":true,"usgs":false}],"preferred":false,"id":852718,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sasso, Christopher R.","contributorId":296894,"corporation":false,"usgs":false,"family":"Sasso","given":"Christopher","email":"","middleInitial":"R.","affiliations":[{"id":64230,"text":"NOAA-NMFS Southwest Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":852719,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lamont, Margaret 0000-0001-7520-6669","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":206817,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":852720,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":222407,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":852721,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70238034,"text":"70238034 - 2022 - Development of a ddPCR assay for the detection of the Smoky Madtom (Noturus baileyi) from eDNA in stream water samples","interactions":[],"lastModifiedDate":"2022-12-01T16:19:40.260187","indexId":"70238034","displayToPublicDate":"2022-09-10T06:47:41","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1325,"text":"Conservation Genetics Resources","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Development of a ddPCR assay for the detection of the Smoky Madtom (Noturus baileyi) from eDNA in stream water samples","title":"Development of a ddPCR assay for the detection of the Smoky Madtom (Noturus baileyi) from eDNA in stream water samples","docAbstract":"

The Smoky Madtom Noturus baileyi is a federally endangered species, whose native distribution includes lower Abrams Creek in Great Smoky Mountains National Park (GRSM) and Citico Creek in nearby Cherokee National Forest. Due to challenges for bio-monitoring posed by its nocturnality and cryptic life history, an environmental DNA (eDNA)-based approach for detection would be useful to complement existing electrofishing and seining efforts to better understand the distribution of this species. We developed a probe-based droplet digital PCR (ddPCR) assay to detect Smoky Madtoms from non-invasively collected water samples. The assay was specific to N. baileyi and did not amplify concentrated genomic DNA of 16 co-occurring or regional fish species, including the yellowfin madtom N. flavipinnis and stonecat N. flavus. The assay limit of detection (LOD) was determined to be 4.18 copies (95% CI: 3.95, 4.41). Several 2 L water samples collected from throughout various streams in GRSM in 2016 and 2017 were tested for the presence of N. baileyi using the ddPCR assay. N. baileyi was detected at two different sites in 2016 and 2017 within Abrams Creek previously known to contain N. baileyi, but no novel detections in other sampled streams were observed. This assay should prove useful for continued surveys of N. baileyi in GRSM.

","language":"English","publisher":"Springer","doi":"10.1007/s12686-022-01290-3","usgsCitation":"Aunins, A.W., Eackles, M.S., Super, P.E., Kulp, M.A., Nichols, B.J., Lubinski, B.A., Morrison, C., and King, T.L., 2022, Development of a ddPCR assay for the detection of the Smoky Madtom (Noturus baileyi) from eDNA in stream water samples: Conservation Genetics Resources, v. 14, p. 429-435, https://doi.org/10.1007/s12686-022-01290-3.","productDescription":"7 p.","startPage":"429","endPage":"435","ipdsId":"IP-137648","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":446477,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12686-022-01290-3","text":"Publisher Index Page"},{"id":409153,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Smoky Mountains National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84.3226797994516,\n 35.23271942098776\n ],\n [\n -83.88819404812631,\n 35.20288826039949\n ],\n [\n -83.08619209500145,\n 35.23878873169242\n ],\n [\n -82.59180732937615,\n 35.56117735602406\n ],\n [\n -83.03126045437648,\n 35.93566458676304\n ],\n [\n -83.70196515161518,\n 35.89161162033545\n ],\n [\n -84.16339093286533,\n 35.56161556962991\n ],\n [\n -84.42706280786531,\n 35.30201595999516\n ],\n [\n -84.3226797994516,\n 35.23271942098776\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","noUsgsAuthors":false,"publicationDate":"2022-09-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Aunins, Aaron W. 0000-0001-5240-1453 aaunins@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-1453","contributorId":5863,"corporation":false,"usgs":true,"family":"Aunins","given":"Aaron","email":"aaunins@usgs.gov","middleInitial":"W.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":856653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eackles, Michael S. 0000-0001-5624-5769 meackles@usgs.gov","orcid":"https://orcid.org/0000-0001-5624-5769","contributorId":218936,"corporation":false,"usgs":true,"family":"Eackles","given":"Michael","email":"meackles@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":856654,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Super, Paul E","contributorId":298890,"corporation":false,"usgs":false,"family":"Super","given":"Paul","email":"","middleInitial":"E","affiliations":[{"id":39761,"text":"Great Smoky Mountains National Park","active":true,"usgs":false}],"preferred":false,"id":856655,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kulp, Matt A.","contributorId":196801,"corporation":false,"usgs":false,"family":"Kulp","given":"Matt","email":"","middleInitial":"A.","affiliations":[{"id":35484,"text":"National Park Service, Great Smoky Mountains National Park","active":true,"usgs":false}],"preferred":false,"id":856656,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nichols, Becky J","contributorId":298891,"corporation":false,"usgs":false,"family":"Nichols","given":"Becky","email":"","middleInitial":"J","affiliations":[{"id":39761,"text":"Great Smoky Mountains National Park","active":true,"usgs":false}],"preferred":false,"id":856657,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lubinski, Barbara A. 0000-0003-3568-2569","orcid":"https://orcid.org/0000-0003-3568-2569","contributorId":202483,"corporation":false,"usgs":true,"family":"Lubinski","given":"Barbara","email":"","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":856658,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morrison, Cheryl L. cmorrison@usgs.gov","contributorId":3355,"corporation":false,"usgs":true,"family":"Morrison","given":"Cheryl L.","email":"cmorrison@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":856683,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"King, Timothy L.","contributorId":199023,"corporation":false,"usgs":false,"family":"King","given":"Timothy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":856659,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70236547,"text":"fs20223076 - 2022 - How USGS gages are used in flood forecasting","interactions":[],"lastModifiedDate":"2026-01-27T18:38:19.89429","indexId":"fs20223076","displayToPublicDate":"2022-09-09T14:03:18","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-3076","displayTitle":"How USGS Gages Are Used in Flood Forecasting","title":"How USGS gages are used in flood forecasting","docAbstract":"

The U.S. Geological Survey (USGS) operates an extensive nationwide network of stream, rain, and groundwater gages. These instruments are used to monitor how much water there is across the Nation at any given moment. Stream data are collected at streamgages every 15 minutes, transmitted to USGS servers, and updated online in real time. To improve awareness of current water conditions and possible flooding, stream data are combined with rain data collected at nearby USGS rain gages. The National Weather Service uses the USGS stream and rain data to forecast when flooding might occur and issue flood warnings.

","language":"English, Spanish","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223076","collaboration":"Prepared in cooperation with National Weather Service","usgsCitation":"Sobieszczyk, S., 2022, How USGS gages are used in flood forecasting: U.S. Geological Survey Fact Sheet 2022–3076, 2 p., https://doi.org/10.3133/fs20223076. [In English and Spanish.]","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-143721","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":406458,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3076/fs20223076.pdf","size":"422 kB","linkFileType":{"id":1,"text":"pdf"},"description":"fs 2022-3076"},{"id":406457,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3076/coverthb.jpg"}],"contact":"

Director, New Mexico Water Science Center
U.S. Geological Survey 
6700 Edith Blvd. NE 
Albuquerque, NM 87113

Contact Pubs Warehouse

","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2022-09-09","noUsgsAuthors":false,"publicationDate":"2022-09-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Sobieszczyk, Steven 0000-0002-0834-8437 ssobie@usgs.gov","orcid":"https://orcid.org/0000-0002-0834-8437","contributorId":885,"corporation":false,"usgs":true,"family":"Sobieszczyk","given":"Steven","email":"ssobie@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":851363,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70239387,"text":"70239387 - 2022 - Hydrologic connectivity and residence time affect the sediment trapping efficiency and dissolved oxygen concentrations of the Atchafalaya River Basin","interactions":[],"lastModifiedDate":"2023-01-11T16:09:55.321068","indexId":"70239387","displayToPublicDate":"2022-09-09T10:03:52","publicationYear":"2022","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":"Hydrologic connectivity and residence time affect the sediment trapping efficiency and dissolved oxygen concentrations of the Atchafalaya River Basin","docAbstract":"

Little is known about water movement, volume, or residence time (RT), and how those characteristics affect sediment trapping efficiency (TE) and dissolved oxygen concentrations (DO) in the United States' largest remaining bottomland hardwood swamp, the Atchafalaya River Basin. To better understand these dynamics, this study used bathymetry, lidar, and stage records to determine volumes in the Basin's hydrologically distinct water management units (WMUs). Discharge measurements determined flow distribution and RT. Residence time was compared with DO to identify conditions that coincided with DO increases or decreases. Suspended sediment concentrations (SSC) were used to determine TE relative to calculated and measured discharge and RT. Discharge through units (85–2,200 m3/s) and RT (0.37–231 d) depended on connectivity and river stage. At high stages, with water temperatures >20°C, DO in the largest WMU declined by −0.21 mg/l/day. DO trends indicated less well-connected areas of the WMU contributed hypoxic waters as the flood wave lengthened and stages fell. In the two WMUs examined for TE, TE (−266% to 99% and up to 38 Gg/day) correlated with hydrologic connectivity, SSC, RT, water volume, and, in one WMU, discharge losses. Long RT and high TE indicated a high potential to process nutrients. These relationships varied among WMUs. Large volumes of sediment-laden water moving over the floodplain combined with long RT, high TE, and hypoxia indicate that this ecosystem has continental-scale importance in reducing nutrient loads to the northern Gulf of Mexico. Reports from other systems suggest similar processes may be operating on other large river floodplains globally.

","language":"English","publisher":"Wiley","doi":"10.1029/2021WR030731","usgsCitation":"Kroes, D., Day, R., Kaller, M.D., Demas, C.R., Kelso, W.E., Pasco, T., Harlan, R., and Roberts, S., 2022, Hydrologic connectivity and residence time affect the sediment trapping efficiency and dissolved oxygen concentrations of the Atchafalaya River Basin: Water Resources Research, v. 58, no. 11, e2021WR030731, 25 p., https://doi.org/10.1029/2021WR030731.","productDescription":"e2021WR030731, 25 p.","ipdsId":"IP-122676","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":446481,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021wr030731","text":"Publisher Index Page"},{"id":411722,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Atchafalaya River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.19842494954662,\n 29.43299698721681\n ],\n [\n -91.0065616177603,\n 29.745824547354005\n ],\n [\n -91.69407188999388,\n 30.994196767826082\n ],\n [\n -91.98986119316385,\n 30.994196767826082\n ],\n [\n -91.91791244374411,\n 30.39269246892897\n ],\n [\n -91.62212314057413,\n 29.849884487088616\n ],\n [\n -91.4622370307522,\n 29.540858164204536\n ],\n [\n -91.19842494954662,\n 29.43299698721681\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"58","issue":"11","noUsgsAuthors":false,"publicationDate":"2022-11-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Kroes, Daniel 0000-0001-9104-9077 dkroes@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-9077","contributorId":3830,"corporation":false,"usgs":true,"family":"Kroes","given":"Daniel","email":"dkroes@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":861386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, Richard 0000-0002-5959-7054","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":221895,"corporation":false,"usgs":true,"family":"Day","given":"Richard","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":861387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaller, Michael D. 0000-0002-1239-7725","orcid":"https://orcid.org/0000-0002-1239-7725","contributorId":300764,"corporation":false,"usgs":false,"family":"Kaller","given":"Michael","email":"","middleInitial":"D.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":861388,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Demas, Charles R.","contributorId":300765,"corporation":false,"usgs":false,"family":"Demas","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":12545,"text":"USGS retired","active":true,"usgs":false}],"preferred":false,"id":861389,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kelso, William E.","contributorId":300766,"corporation":false,"usgs":false,"family":"Kelso","given":"William","email":"","middleInitial":"E.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":861390,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pasco, Tiffany","contributorId":300767,"corporation":false,"usgs":false,"family":"Pasco","given":"Tiffany","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":861391,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harlan, Raynie","contributorId":300768,"corporation":false,"usgs":false,"family":"Harlan","given":"Raynie","email":"","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":861392,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Roberts, Steven","contributorId":300769,"corporation":false,"usgs":false,"family":"Roberts","given":"Steven","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":861393,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}