This study examined titanium distribution in the Atlantic Coastal Plain of the southeastern United States; the titanium is found in heavy-mineral sands that include the minerals ilmenite (Fe2+TiO3), rutile (TiO2), or leucoxene (an alteration product of ilmenite). Deposits of heavy-mineral sands in ancient and modern coastal plains are a significant feedstock source for the titanium dioxide pigments industry. Currently, two heavy-mineral sands mining and processing operations are active in the southeast United States producing concentrates of ilmenite-leucoxene, rutile, and zircon. The results of this study indicate the potential for similar deposits in many areas of the Atlantic Coastal Plain.
This study used the titanium analyses of 3,457 stream sediment samples that were analyzed as part of the U.S. Geological Survey’s National Geochemical Survey program. This data set was analyzed by an integrated spatial modeling technique known as Bayesian hierarchical modeling to map the regional-scale, spatial distribution of titanium concentrations. In particular, clusters of anomalous concentrations of titanium occur: (1) along the Fall Zone, from Virginia to Alabama, where metamorphic and igneous rocks of the Piedmont region contact younger sediments of the Coastal Plain; (2) a paleovalley near the South Carolina and North Carolina border; (3) the upper and middle Atlantic Coastal Plain of North Carolina; (4) the majority of the Atlantic Coastal Plain of Virginia; and (5) barrier islands and stretches of the modern shoreline from South Carolina to northeast Florida. The areas mapped by this study could help mining companies delimit areas for exploration.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185045","usgsCitation":"Van Gosen, B.S, and Ellefsen, K.J., 2018, Titanium mineral resources in heavy-mineral sands in the Atlantic coastal plain of the southeastern United States: U.S. Geological Survey Scientific Investigations Report 2018–5045, 32 p., https://doi.org/10.3133/sir20185045.","productDescription":"Report: v, 32 p.; Read Me; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-092420","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":353350,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7J38R16","text":"USGS data release","linkHelpText":"Titanium concentrations in stream sediments from the Atlantic Coastal Plain of the southeastern U.S. (1975-1999)"},{"id":353348,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5045/coverthb.jpg"},{"id":353349,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5045/sir20185045.pdf","text":"Report","size":"19.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5045"},{"id":353352,"rank":4,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sir/2018/5045/sir20185045_Readme.txt","text":"Read Me","size":"8.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2018–5045 Read Me"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.3552303599749,\n 29.6305\n ],\n [\n -76.0284,\n 29.6305\n ],\n [\n -76.0284,\n 38.4013255312409\n ],\n [\n -88.3552303599749,\n 38.4013255312409\n ],\n [\n -88.3552303599749,\n 29.6305\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Geology, Geophysics, and Geochemistry Science Center
U.S. Geological Survey
Box 25046, MS 973
Denver, CO 80225
Satellite-derived near-shore bathymetry (SDB) is becoming an increasingly important method for assessing vulnerability to climate change and natural hazards in low-lying atolls of the northern tropical Pacific Ocean. Satellite imagery has become a cost-effective means for mapping near-shore bathymetry because ships cannot collect soundings safely while operating close to the shore. Also, green laser light detection and ranging (lidar) acquisitions are expensive in remote locations. Previous research has demonstrated that spectral band ratio-based techniques, commonly called the natural logarithm approach, may lead to more precise measurements and modeling of bathymetry because of the phenomenon that different substrates at the same depth have approximately equal ratio values. The goal of this research was to apply the band ratio technique to Landsat 8 at-sensor radiance imagery and WorldView-3 atmospherically corrected imagery in the coastal waters surrounding the Majuro Atoll, Republic of the Marshall Islands, to derive near-shore bathymetry that could be incorporated into a seamless topobathymetric digital elevation model of Majuro. Attenuation of light within the water column was characterized by measuring at-sensor radiance and reflectance at different depths and calculating an attenuation coefficient. Bathymetric lidar data, collected by the U.S. Naval Oceanographic Office in 2006, were used to calibrate the SDB results. The bathymetric lidar yielded a strong linear relation with water depths. The Landsat 8-derived SDB estimates derived from the blue/green band ratio exhibited a water attenuation extinction depth of 6 meters with a coefficient of determination R2=0.9324. Estimates derived from the coastal/red band ratio had an R2=0.9597. At the same extinction depth, SDB estimates derived from WorldView-3 imagery exhibited an R2=0.9574. Because highly dynamic coastal shorelines can be affected by erosion, wetland loss, hurricanes, sea-level rise, urban development, and population growth, consistent bathymetric data are needed to better understand sensitive coastal land/water interfaces in areas subject to coastal disasters.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185024","usgsCitation":"Poppenga, S.K., Palaseanu-Lovejoy, M., Gesch, D.B., Danielson, J.J., and Tyler, D.J., 2018, Evaluating the potential for near-shore bathymetry on the Majuro Atoll, Republic of the Marshall Islands, using Landsat 8 and WorldView-3 imagery: U.S. Geological Survey Scientific Investigations Report 2018–5024, 14 p., https://doi.org/10.3133/sir20185024.","productDescription":"Report: vii, 14 p.; Data Release","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-092726","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":353367,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7416VXX","text":"USGS data release","description":"USGS Data Release","linkHelpText":"One Meter Topobathymetric Digital Elevation Model for Majuro Atoll, Republic of the Marshall Islands, 1944 to 2016"},{"id":353365,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5024/coverthb2.jpg"},{"id":353366,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5024/sir20185024.pdf","text":"Report","size":"3.28 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5024"}],"country":"Republic of the Marshall Islands","otherGeospatial":"Majuro Atoll","contact":"Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD
Healthy streams and the fish and other organisms that live in them contribute to our quality of life. Extensive modification of the landscape in the Midwestern United States, however, has profoundly affected the condition of streams. Row crops and pavement have replaced grasslands and woodlands, streams have been straightened, and wetlands and fields have been drained. Runoff from agricultural and urban land brings sediment and chemicals to streams. What is the chemical, physical, and biological condition of Midwestern streams? Which physical and chemical stressors are adversely affecting biological communities, what are their origins, and how might we lessen or avoid their adverse effects?
In 2013, the U.S. Geological Survey (USGS) conducted the Midwest Stream Quality Assessment to evaluate how human activities affect the biological condition of Midwestern streams. In collaboration with the U.S. Environmental Protection Agency National Rivers and Streams Assessment, the USGS sampled 100 streams, chosen to be representative of the different types of watersheds in the region. Biological condition was evaluated based on the number and diversity of fish, algae, and invertebrates in the streams. Changes to the physical habitat and chemical characteristics of the streams—“stressors”—were assessed, and their relation to landscape factors and biological condition was explored by using mathematical models. The data and models help us to better understand how the human activities on the landscape are affecting streams in the region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173087","usgsCitation":"Van Metre, P.C., Mahler, B.J., Carlisle, Daren, and Coles, James, 2018, The Midwest Stream Quality Assessment—Influences of human activities on streams: U.S. Geological Survey Fact Sheet 2017–3087, 6 p., https://doi.org/10.3133/fs20173087.","productDescription":"6 p.","onlineOnly":"N","ipdsId":"IP-087878","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":350638,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3087/coverthb2.jpg"},{"id":350639,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3087/fs20173087.pdf","text":"Report","size":"2.53 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017–3087"},{"id":350640,"rank":3,"type":{"id":18,"text":"Project Site"},"url":"https://water.usgs.gov/nawqa/","text":"National Water-Quality Assessment (NAWQA) Project"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.525390625,\n 36.756490329505176\n ],\n [\n -81.93603515625,\n 36.756490329505176\n ],\n [\n -81.93603515625,\n 45.166547157856016\n ],\n [\n -98.525390625,\n 45.166547157856016\n ],\n [\n -98.525390625,\n 36.756490329505176\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"National Water-Quality Assessment (NAWQA) Project
U.S. Geological Survey
413 National Center
12201 Sunrise Valley Drive
Reston, Virginia 20192
Landscape connectivity is integral to the persistence of metapopulations of wide ranging carnivores and other terrestrial species. The objectives of this research were to investigate the landscape characteristics essential to use of areas by lynx and bobcats in northern New England, map a habitat availability model for each species, and explore connectivity across areas of the region likely to experience future development pressure. A Mahalanobis distance analysis was conducted on location data collected between 2005 and 2010 from 16 bobcats in western Vermont and 31 lynx in northern Maine to determine which variables were most consistent across all locations for each species using three scales based on average 1) local (15 minute) movement, 2) linear distance between daily locations, and 3) female home range size. The bobcat model providing the widest separation between used locations and random study area locations suggests that they cue into landscape features such as edge, availability of cover, and development density at different scales. The lynx model with the widest separation between random and used locations contained five variables including natural habitat, cover, and elevation—all at different scales. Shrub scrub habitat—where lynx’s preferred prey is most abundant—was represented at the daily distance moved scale. Cross validation indicated that outliers had little effect on models for either species. A habitat suitability value was calculated for each 30 m2 pixel across Vermont, New Hampshire, and Maine for each species and used to map connectivity between conserved lands within selected areas across the region. Projections of future landscape change illustrated potential impacts of anthropogenic development on areas lynx and bobcat may use, and indicated where connectivity for bobcats and lynx may be lost. These projections provided a guide for conservation of landscape permeability for lynx, bobcat, and species relying on similar habitats in the region.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0194243","usgsCitation":"Farrell, L.E., Levy, D.M., Donovan, T.M., Mickey, R.M., Howard, A., Vashon, J., Freeman, M., Royar, K., and Kilpatrick, C.W., 2018, Landscape connectivity for bobcat (Lynx rufus) and lynx (Lynx canadensis) in the Northeastern United States: PLoS ONE, v. 13, no. 3, p. 1-25, https://doi.org/10.1371/journal.pone.0194243.","productDescription":"e0194243; 25 p.","startPage":"1","endPage":"25","ipdsId":"IP-043926","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468826,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0194243","text":"Publisher Index Page"},{"id":353475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-70.152589,43.746794],[-70.157754,43.749818],[-70.145911,43.772119],[-70.128271,43.774009],[-70.152589,43.746794]]],[[[-70.171245,43.663498],[-70.205934,43.633633],[-70.211062,43.641842],[-70.188047,43.673762],[-70.171245,43.663498]]],[[[-70.186213,43.682655],[-70.21313,43.662973],[-70.201893,43.685483],[-70.186213,43.682655]]],[[[-70.163884,43.692404],[-70.135563,43.700658],[-70.168227,43.675136],[-70.173571,43.683734],[-70.163884,43.692404]]],[[[-70.087621,43.699913],[-70.115908,43.682978],[-70.095727,43.709278],[-70.097184,43.700929],[-70.087621,43.699913]]],[[[-70.119671,43.748621],[-70.097318,43.757292],[-70.108978,43.722312],[-70.124136,43.70832],[-70.138711,43.727559],[-70.119671,43.748621]]],[[[-68.499465,44.12419],[-68.491521,44.109833],[-68.502942,44.099722],[-68.51706,44.10341],[-68.511266,44.125082],[-68.499465,44.12419]]],[[[-68.358388,44.125082],[-68.346724,44.127749],[-68.330716,44.110598],[-68.338012,44.101473],[-68.365176,44.101464],[-68.376593,44.112207],[-68.358388,44.125082]]],[[[-68.453236,44.189998],[-68.416434,44.187047],[-68.384903,44.154955],[-68.438518,44.11618],[-68.456813,44.145268],[-68.502096,44.152388],[-68.474365,44.181875],[-68.453236,44.189998]]],[[[-68.680773,44.279242],[-68.623554,44.255622],[-68.605906,44.230772],[-68.612749,44.207722],[-68.624994,44.197637],[-68.618872,44.18107],[-68.643002,44.15766],[-68.670014,44.151537],[-68.671454,44.138572],[-68.681899,44.138212],[-68.692343,44.153698],[-68.720435,44.169185],[-68.714313,44.20376],[-68.722956,44.219607],[-68.700627,44.234013],[-68.680458,44.262105],[-68.680773,44.279242]]],[[[-68.355279,44.199096],[-68.333227,44.207308],[-68.31606,44.200244],[-68.332639,44.192131],[-68.339029,44.171839],[-68.347416,44.169459],[-68.378872,44.184222],[-68.355279,44.199096]]],[[[-68.472831,44.219767],[-68.453843,44.201683],[-68.48452,44.202886],[-68.482726,44.227058],[-68.470323,44.22832],[-68.472831,44.219767]]],[[[-68.792139,44.237819],[-68.769833,44.222787],[-68.780055,44.203129],[-68.829593,44.21689],[-68.839422,44.236547],[-68.827627,44.242838],[-68.792139,44.237819]]],[[[-68.23638,44.266254],[-68.211329,44.257074],[-68.23713,44.25343],[-68.248913,44.235443],[-68.274427,44.237099],[-68.274719,44.258675],[-68.246598,44.257836],[-68.23638,44.266254]]],[[[-68.498637,44.369686],[-68.478785,44.319563],[-68.489641,44.313705],[-68.530394,44.333583],[-68.518573,44.381022],[-68.501364,44.382281],[-68.498637,44.369686]]],[[[-68.618212,44.012367],[-68.635315,44.018886],[-68.652881,44.003845],[-68.659874,44.022758],[-68.650767,44.039908],[-68.661594,44.075837],[-68.6181,44.096706],[-68.584074,44.070578],[-68.601099,44.058362],[-68.610703,44.013422],[-68.618212,44.012367]]],[[[-68.785601,44.053503],[-68.818441,44.032046],[-68.862845,44.025037],[-68.889717,44.032516],[-68.913406,44.08519],[-68.907812,44.105518],[-68.943105,44.10973],[-68.935327,44.13038],[-68.917286,44.148239],[-68.825067,44.186338],[-68.818423,44.160978],[-68.780693,44.143274],[-68.818039,44.136852],[-68.820515,44.130198],[-68.815562,44.115836],[-68.806832,44.116339],[-68.772639,44.078439],[-68.77029,44.069566],[-68.785601,44.053503]]],[[[-67.619761,44.519754],[-67.582113,44.513459],[-67.590627,44.49415],[-67.562651,44.472104],[-67.574206,44.45173],[-67.588346,44.449754],[-67.604919,44.502056],[-67.614954,44.503576],[-67.619761,44.519754]]],[[[-68.942826,44.281073],[-68.919301,44.309872],[-68.919325,44.335392],[-68.90353,44.378613],[-68.87894,44.386584],[-68.868444,44.38144],[-68.860649,44.364425],[-68.896587,44.321986],[-68.88746,44.303094],[-68.916872,44.242866],[-68.95189,44.218719],[-68.94709,44.226792],[-68.965264,44.259332],[-68.942826,44.281073]]],[[[-70.353392,43.535405],[-70.379123,43.507202],[-70.385615,43.487031],[-70.380233,43.46423],[-70.349684,43.442032],[-70.370514,43.434133],[-70.39089,43.402607],[-70.421282,43.395777],[-70.424421,43.379656],[-70.460717,43.34325],[-70.517695,43.344037],[-70.553854,43.321886],[-70.593907,43.249295],[-70.575787,43.221859],[-70.587814,43.199858],[-70.618973,43.163625],[-70.638355,43.114182],[-70.665958,43.076234],[-70.703818,43.059825],[-70.704696,43.070989],[-70.718936,43.03235],[-70.759175,42.989475],[-70.810069,42.909549],[-70.817296,42.87229],[-70.848625,42.860939],[-70.886136,42.88261],[-70.914886,42.886564],[-71.031201,42.859089],[-71.047501,42.844089],[-71.064201,42.806289],[-71.132503,42.821389],[-71.165603,42.808689],[-71.186104,42.790689],[-71.181803,42.73759],[-71.223904,42.746689],[-71.245504,42.742589],[-71.294205,42.69699],[-73.276421,42.746019],[-73.290944,42.80192],[-73.285388,42.834093],[-73.278673,42.83341],[-73.241589,43.534973],[-73.258631,43.564949],[-73.293536,43.578518],[-73.293741,43.605203],[-73.306234,43.628018],[-73.371889,43.624489],[-73.372375,43.606014],[-73.39196,43.569915],[-73.430947,43.587036],[-73.417827,43.620586],[-73.426463,43.642598],[-73.415513,43.65245],[-73.402078,43.693106],[-73.370612,43.725329],[-73.370287,43.742269],[-73.350707,43.770463],[-73.390302,43.817371],[-73.390194,43.829364],[-73.372247,43.845337],[-73.381501,43.859235],[-73.37415,43.874163],[-73.407742,43.929887],[-73.407739,44.021312],[-73.43688,44.042578],[-73.411316,44.112686],[-73.41578,44.131523],[-73.403268,44.144295],[-73.390805,44.189072],[-73.362013,44.208545],[-73.349889,44.230356],[-73.324681,44.243614],[-73.313422,44.264199],[-73.334939,44.364441],[-73.315016,44.388513],[-73.293855,44.437556],[-73.306707,44.500334],[-73.342932,44.551907],[-73.374389,44.575455],[-73.381848,44.589316],[-73.376849,44.599598],[-73.38982,44.61721],[-73.361308,44.694523],[-73.365561,44.741786],[-73.333154,44.788759],[-73.335443,44.804602],[-73.381359,44.845021],[-73.360327,44.897236],[-73.338482,44.924112],[-73.337906,44.960541],[-73.353429,44.990165],[-73.343124,45.01084],[-73.059685,45.015869],[-72.67477,45.015459],[-72.310073,45.003822],[-71.502487,45.013367],[-71.491148,45.041774],[-71.505222,45.048791],[-71.497917,45.070589],[-71.467447,45.086851],[-71.427208,45.127364],[-71.437216,45.142333],[-71.39781,45.203553],[-71.403267,45.215348],[-71.443882,45.235462],[-71.420335,45.232719],[-71.406973,45.241516],[-71.38317,45.234904],[-71.357253,45.253336],[-71.362831,45.267617],[-71.336392,45.273066],[-71.284396,45.302434],[-71.266557,45.294589],[-71.262136,45.276098],[-71.231572,45.253472],[-71.196658,45.253594],[-71.180905,45.239858],[-71.158192,45.248746],[-71.13943,45.242958],[-71.097772,45.301906],[-71.00905,45.319022],[-71.002563,45.327819],[-71.01292,45.343297],[-71.004848,45.345419],[-70.985595,45.332188],[-70.950824,45.33453],[-70.921435,45.313867],[-70.912111,45.296197],[-70.9217,45.279445],[-70.898565,45.258502],[-70.892822,45.239172],[-70.857042,45.22916],[-70.84443,45.234513],[-70.83877,45.237555],[-70.848319,45.244707],[-70.848554,45.263325],[-70.812338,45.302006],[-70.807058,45.322464],[-70.819828,45.340109],[-70.802648,45.364933],[-70.826033,45.398408],[-70.798677,45.424146],[-70.755567,45.428361],[-70.712286,45.390611],[-70.677995,45.394362],[-70.651175,45.377123],[-70.634661,45.383608],[-70.635498,45.427817],[-70.717047,45.487732],[-70.723167,45.507606],[-70.687605,45.549099],[-70.688214,45.563981],[-70.644687,45.607083],[-70.592252,45.629865],[-70.5584,45.666671],[-70.525831,45.666551],[-70.469869,45.701639],[-70.400404,45.719834],[-70.383552,45.734869],[-70.388501,45.749717],[-70.406548,45.761813],[-70.417641,45.79377],[-70.395907,45.798885],[-70.387916,45.819043],[-70.34244,45.852192],[-70.284204,45.872034],[-70.253704,45.902981],[-70.263315,45.920152],[-70.24092,45.939095],[-70.252963,45.955234],[-70.280814,45.965211],[-70.31297,45.961856],[-70.309725,45.98021],[-70.287754,45.99182],[-70.317629,46.01908],[-70.278169,46.059671],[-70.306734,46.061344],[-70.284554,46.098713],[-70.254021,46.0996],[-70.239566,46.142762],[-70.292736,46.191599],[-70.272054,46.209833],[-70.248421,46.267072],[-70.205719,46.299865],[-70.208733,46.328961],[-70.191412,46.348072],[-70.141164,46.362669],[-70.11044,46.38611],[-70.096286,46.40943],[-70.057061,46.415036],[-69.997086,46.69523],[-69.22442,47.459686],[-69.146439,47.44886],[-69.082508,47.423976],[-69.061192,47.433052],[-69.043947,47.427634],[-69.039818,47.386309],[-69.053885,47.377878],[-69.050367,47.259821],[-69.033456,47.240984],[-68.96113,47.205582],[-68.942484,47.206386],[-68.90524,47.180919],[-68.717867,47.240919],[-68.687662,47.244215],[-68.664071,47.236762],[-68.607906,47.247497],[-68.582984,47.285493],[-68.546641,47.28298],[-68.507432,47.296636],[-68.470282,47.296804],[-68.448844,47.282547],[-68.376829,47.28852],[-68.384105,47.301506],[-68.380334,47.340242],[-68.355171,47.35707],[-68.234604,47.355035],[-68.217712,47.340847],[-68.15515,47.32542],[-68.137059,47.296068],[-68.019724,47.238036],[-67.991871,47.212042],[-67.955669,47.199542],[-67.935868,47.164843],[-67.893266,47.129943],[-67.883844,47.105834],[-67.789761,47.065744],[-67.781095,45.943032],[-67.750422,45.917898],[-67.803318,45.883718],[-67.796514,45.859961],[-67.755068,45.82367],[-67.780082,45.818194],[-67.806598,45.794723],[-67.806308,45.755405],[-67.793083,45.750559],[-67.781892,45.731189],[-67.809833,45.729274],[-67.803148,45.696127],[-67.817892,45.693705],[-67.805483,45.680241],[-67.720401,45.662522],[-67.729908,45.689012],[-67.710464,45.679372],[-67.675417,45.630959],[-67.64581,45.613597],[-67.644206,45.62322],[-67.631762,45.621409],[-67.606172,45.606533],[-67.499444,45.587014],[-67.476704,45.604157],[-67.455406,45.604665],[-67.429716,45.583773],[-67.420976,45.550029],[-67.435044,45.528783],[-67.416416,45.503515],[-67.462882,45.508691],[-67.503157,45.485367],[-67.482353,45.460825],[-67.473366,45.425328],[-67.418747,45.37726],[-67.434281,45.365438],[-67.430489,45.348751],[-67.453469,45.328246],[-67.460554,45.300379],[-67.485683,45.291433],[-67.489464,45.282653],[-67.46357,45.244097],[-67.43998,45.227047],[-67.428889,45.193213],[-67.407139,45.179425],[-67.404629,45.159926],[-67.345585,45.126392],[-67.298209,45.146672],[-67.299238,45.168937],[-67.283619,45.192022],[-67.246697,45.180765],[-67.227324,45.163652],[-67.203933,45.171407],[-67.161247,45.162879],[-67.112414,45.112323],[-67.090786,45.068721],[-67.117688,45.05673],[-67.082074,45.029608],[-67.033474,44.939923],[-66.984466,44.912557],[-66.990351,44.882551],[-66.978142,44.856963],[-66.996523,44.844654],[-66.986318,44.820657],[-66.950569,44.814539],[-66.97626,44.808315],[-67.02615,44.768199],[-67.062239,44.769543],[-67.073439,44.741957],[-67.098931,44.741311],[-67.103957,44.717444],[-67.139209,44.693849],[-67.155119,44.66944],[-67.181785,44.663699],[-67.191438,44.64775],[-67.213025,44.63922],[-67.24726,44.641664],[-67.274122,44.626345],[-67.273076,44.610873],[-67.293403,44.599265],[-67.314938,44.598215],[-67.32297,44.609394],[-67.293665,44.634316],[-67.292462,44.648455],[-67.309627,44.659316],[-67.299176,44.705705],[-67.308538,44.707454],[-67.355966,44.69906],[-67.376742,44.681852],[-67.381149,44.66947],[-67.363158,44.631825],[-67.377554,44.619757],[-67.386605,44.626974],[-67.405492,44.594236],[-67.428367,44.609136],[-67.457747,44.598014],[-67.492373,44.61795],[-67.505804,44.636837],[-67.530777,44.621938],[-67.551133,44.621938],[-67.575056,44.560659],[-67.562321,44.539435],[-67.568159,44.531117],[-67.648506,44.525403],[-67.656901,44.535896],[-67.685861,44.537155],[-67.702649,44.527922],[-67.698872,44.51575],[-67.71419,44.495238],[-67.733986,44.496252],[-67.743353,44.497418],[-67.742942,44.526453],[-67.753854,44.543661],[-67.774001,44.547438],[-67.781556,44.520577],[-67.79726,44.520685],[-67.808837,44.544081],[-67.839896,44.558771],[-67.856684,44.523934],[-67.851648,44.484901],[-67.868774,44.465272],[-67.851764,44.428695],[-67.855108,44.419434],[-67.878509,44.435585],[-67.887323,44.433066],[-67.899571,44.394078],[-67.913346,44.430128],[-67.92132,44.433066],[-67.930554,44.428869],[-67.931453,44.411848],[-67.955737,44.416278],[-67.961613,44.39907],[-67.978876,44.387034],[-68.006102,44.409562],[-68.034223,44.360456],[-68.044296,44.357938],[-68.049334,44.33073],[-68.067047,44.335692],[-68.077873,44.373047],[-68.090045,44.371369],[-68.11229,44.401588],[-68.117746,44.475038],[-68.150904,44.482383],[-68.17105,44.470211],[-68.194554,44.47189],[-68.189937,44.484901],[-68.213861,44.492456],[-68.227292,44.479865],[-68.224354,44.464335],[-68.261708,44.484062],[-68.270522,44.459718],[-68.298223,44.449225],[-68.299063,44.437893],[-68.247438,44.433276],[-68.24366,44.420685],[-68.249956,44.417747],[-68.21554,44.390466],[-68.20354,44.392365],[-68.184532,44.369145],[-68.173608,44.328397],[-68.191924,44.306675],[-68.233435,44.288578],[-68.289409,44.283858],[-68.298643,44.26665],[-68.290818,44.247673],[-68.317588,44.225101],[-68.339498,44.222893],[-68.377982,44.247563],[-68.401268,44.252244],[-68.430946,44.298624],[-68.430853,44.312609],[-68.411965,44.322262],[-68.409867,44.329397],[-68.421619,44.336113],[-68.396552,44.363941],[-68.398035,44.376191],[-68.360318,44.389674],[-68.359082,44.402847],[-68.3791,44.430049],[-68.387678,44.430936],[-68.392559,44.41807],[-68.427874,44.3968],[-68.433901,44.401534],[-68.429648,44.439136],[-68.455095,44.447498],[-68.46382,44.436592],[-68.461072,44.378504],[-68.47828,44.378084],[-68.483317,44.388157],[-68.472824,44.404106],[-68.480379,44.432647],[-68.494649,44.429709],[-68.499686,44.414179],[-68.51452,44.41334],[-68.529905,44.39907],[-68.565161,44.39907],[-68.545434,44.355],[-68.566936,44.317603],[-68.556236,44.300819],[-68.538595,44.299902],[-68.519516,44.265046],[-68.529802,44.249594],[-68.525302,44.227554],[-68.603385,44.27471],[-68.682979,44.299201],[-68.733004,44.328388],[-68.762021,44.329597],[-68.795063,44.30786],[-68.827197,44.31216],[-68.814811,44.362194],[-68.821767,44.40894],[-68.783679,44.473879],[-68.829153,44.462242],[-68.880271,44.428112],[-68.897104,44.450643],[-68.927452,44.448039],[-68.946582,44.429108],[-68.982449,44.426195],[-68.990767,44.415033],[-68.978815,44.38634],[-68.948164,44.355882],[-68.954465,44.32405],[-68.979005,44.296327],[-69.003682,44.294582],[-69.005071,44.274071],[-69.040193,44.233673],[-69.054546,44.171542],[-69.077776,44.165043],[-69.080331,44.117824],[-69.100863,44.104529],[-69.092,44.085734],[-69.056303,44.095162],[-69.031878,44.079036],[-69.048917,44.062506],[-69.064299,44.069911],[-69.079805,44.055256],[-69.073767,44.046135],[-69.125738,44.019623],[-69.124475,44.007419],[-69.170345,43.995637],[-69.193805,43.975543],[-69.203668,43.941806],[-69.259838,43.921427],[-69.280498,43.95744],[-69.31427,43.942951],[-69.319751,43.94487],[-69.305176,43.956676],[-69.331411,43.974311],[-69.351961,43.974748],[-69.366702,43.964755],[-69.398455,43.971804],[-69.421072,43.938261],[-69.423324,43.915507],[-69.459637,43.903316],[-69.483498,43.88028],[-69.50329,43.837673],[-69.514889,43.831298],[-69.520301,43.868498],[-69.543912,43.881615],[-69.552606,43.841347],[-69.575466,43.841972],[-69.578527,43.823316],[-69.588551,43.81836],[-69.604179,43.813551],[-69.604616,43.825793],[-69.592373,43.830895],[-69.594705,43.858878],[-69.604616,43.858004],[-69.621086,43.826814],[-69.634932,43.845907],[-69.649798,43.836287],[-69.653337,43.79103],[-69.664922,43.791033],[-69.692429,43.824336],[-69.705838,43.823024],[-69.719723,43.786685],[-69.752801,43.75594],[-69.780097,43.755397],[-69.778494,43.747089],[-69.835323,43.721125],[-69.838689,43.70514],[-69.851297,43.703581],[-69.858947,43.740531],[-69.868673,43.742701],[-69.862155,43.758962],[-69.869732,43.775656],[-69.903164,43.77239],[-69.927011,43.780174],[-69.953246,43.768806],[-69.982574,43.750801],[-70.001645,43.717666],[-69.998793,43.740385],[-70.041351,43.738053],[-70.034355,43.759041],[-69.99821,43.798684],[-70.002874,43.812093],[-70.026193,43.822587],[-70.023278,43.834247],[-70.002874,43.848239],[-70.009869,43.859315],[-70.019197,43.858733],[-70.064671,43.813259],[-70.080995,43.819672],[-70.107229,43.809178],[-70.142792,43.791688],[-70.176023,43.76079],[-70.172525,43.773615],[-70.190014,43.771866],[-70.194095,43.745632],[-70.217998,43.71998],[-70.215666,43.707737],[-70.251812,43.683251],[-70.254144,43.676839],[-70.211204,43.625765],[-70.217087,43.596717],[-70.20112,43.586515],[-70.196911,43.565146],[-70.206123,43.557627],[-70.231963,43.561118],[-70.244331,43.551849],[-70.272497,43.562616],[-70.307764,43.544315],[-70.353392,43.535405]]]]},\"properties\":{\"name\":\"Maine\",\"nation\":\"USA \"}}]}","volume":"13","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-28","publicationStatus":"PW","scienceBaseUri":"5afee6dae4b0da30c1bfbeae","contributors":{"authors":[{"text":"Farrell, Laura E.","contributorId":204302,"corporation":false,"usgs":false,"family":"Farrell","given":"Laura","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":733598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Levy, Daniel M.","contributorId":204303,"corporation":false,"usgs":false,"family":"Levy","given":"Daniel","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":733599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donovan, Therese M. 0000-0001-8124-9251 tdonovan@usgs.gov","orcid":"https://orcid.org/0000-0001-8124-9251","contributorId":204296,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese","email":"tdonovan@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":733581,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mickey, Ruth M.","contributorId":171666,"corporation":false,"usgs":false,"family":"Mickey","given":"Ruth","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":733600,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Howard, Alan","contributorId":204305,"corporation":false,"usgs":false,"family":"Howard","given":"Alan","affiliations":[],"preferred":false,"id":733601,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vashon, Jennifer","contributorId":204306,"corporation":false,"usgs":false,"family":"Vashon","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":733602,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Freeman, Mark","contributorId":171650,"corporation":false,"usgs":false,"family":"Freeman","given":"Mark","email":"","affiliations":[],"preferred":false,"id":733603,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Royar, Kim","contributorId":9886,"corporation":false,"usgs":true,"family":"Royar","given":"Kim","affiliations":[],"preferred":false,"id":733604,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kilpatrick, C. William","contributorId":204307,"corporation":false,"usgs":false,"family":"Kilpatrick","given":"C.","email":"","middleInitial":"William","affiliations":[],"preferred":false,"id":733605,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70196416,"text":"fs20183025 - 2018 - Science partnership between U.S. Geological Survey and the Lower Elwha Klallam Tribe—Understanding the Elwha River Dam Removal Project","interactions":[],"lastModifiedDate":"2018-04-17T11:21:52","indexId":"fs20183025","displayToPublicDate":"2018-04-16T00:00:00","publicationYear":"2018","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":"2018-3025","title":"Science partnership between U.S. Geological Survey and the Lower Elwha Klallam Tribe—Understanding the Elwha River Dam Removal Project","docAbstract":"After nearly a century of producing power, two large hydroelectric dams on the Elwha River in Washington State were removed during 2011 to 2014 to restore the river ecosystem and recover imperiled salmon populations. Roughly two-thirds of the 21 million cubic meters of sediment—enough to fill nearly 2 million dump trucks—contained behind the dams was released downstream, which restored natural processes and initiated important changes to the river, estuarine, and marine ecosystems. A multidisciplinary team of scientists from the Lower Elwha Klallam Tribe, academia, non-governmental organizations, Federal and state agencies, and the U.S. Geological Survey collected key data before, during, and after dam removal to understand the outcomes of this historic project on the Elwha River ecosystem.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183025","usgsCitation":"Duda, J.J., Beirne, M.M., Warrick, J.A., and Magirl, C.S., 2018, Science partnership between U.S. Geological Survey and the Lower Elwha Klallam Tribe—Understanding the Elwha River Dam Removal Project: U.S. Geological Survey Fact Sheet 2018–3025, 4 p., https://doi.org/10.3133/fs20183025.","productDescription":"4 p.","ipdsId":"IP-095968","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":353441,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3025/fs20183025.pdf","text":"Report","size":"1.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3025"},{"id":353440,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3025/coverthb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Elwha River Dam ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.58434677124025,\n 48.13504826529439\n ],\n [\n -123.53628158569335,\n 48.13504826529439\n ],\n [\n -123.53628158569335,\n 48.16036041905986\n ],\n [\n -123.58434677124025,\n 48.16036041905986\n ],\n [\n -123.58434677124025,\n 48.13504826529439\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Regional Executive
U.S. Geological Survey Northwest Area
909 First Ave., Suite 800, Seattle, WA 98104
nwa_dropbox@usgs.gov/northwest
The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center, in cooperation with the U.S. Army Corps of Engineers, Mobile District, conducted bathymetric surveys of the nearshore waters surrounding Ship and Horn Islands, Gulf Islands National Seashore, Mississippi. The objective of this study was to establish base-level elevation conditions around West Ship, East Ship, and Horn Islands and their associated active littoral system prior to restoration activities. These activities include the closure of Camille Cut and the placement of sediment in the littoral zone of East Ship Island. These surveys can be compared with future surveys to monitor sediment migration patterns post-restoration and can also be measured against historic bathymetric datasets to further our understanding of island evolution.
The USGS collected 667 line-kilometers (km) of single-beam bathymetry data and 844 line-km of interferometric swath bathymetry data in July 2016 under Field Activity Number 2016-347-FA. Data are provided in three datums: (1) the International Terrestrial Reference Frame of 2000 (ellipsoid height); (2) the North American Datum of 1983 (NAD83) CORS96 realization and the North American Vertical Datum of 1988 with respect to the GEOID12B model (orthometric height); and (3) NAD83 (CORS96) and Mean Lower Low Water (tidal datum). Data products, including x,y,zpoint datasets, trackline shapefiles, digital and handwritten Field Activity Collection Systems logs, 50-meter digital elevation model, and formal Federal Geographic Data Committee metadata, are available for download.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1081","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Mobile District","usgsCitation":"DeWitt, N.T., Stalk, C.A., Fredericks, J.J., Flocks, J.G., Kelso, K.W., Farmer, A.S., Tuten, T.M., and Buster, N.A., 2018, Nearshore coastal bathymetry data collected in 2016 from West Ship Island to Horn Island, Gulf Islands National Seashore, Mississippi: U.S. Geological Survey Data Series 1081, https://doi.org/10.3133/ds1081.","productDescription":"HTML Document; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-092109","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":353362,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1081/coverthb.jpg"},{"id":353364,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://coastal.er.usgs.gov/data-release/doi-F7B8571Q/","text":"USGS data release","description":"USGS data release","linkHelpText":"Coastal Bathymetry Data Collected in 2016 nearshore from West Ship Island to Horn Island, Gulf Islands National Seashore, Mississippi"},{"id":353363,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1081/","text":"Report HTML","linkFileType":{"id":5,"text":"html"},"description":"DS 1081"}],"country":"United States","state":"Mississippi","otherGeospatial":"Horn Islands, Gulf Islands National Seashore","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.02359008789062,\n 30.173624550358536\n ],\n [\n -88.50311279296875,\n 30.173624550358536\n ],\n [\n -88.50311279296875,\n 30.28634573802957\n ],\n [\n -89.02359008789062,\n 30.28634573802957\n ],\n [\n -89.02359008789062,\n 30.173624550358536\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
600 4th St. South
St. Petersburg, FL 33701
In the Colorado River downstream of Glen Canyon Dam in the Grand Canyon, USA, controlled floods are used to resupply sediment to, and rebuild, river sandbars that have eroded severely over the past five decades owing to dam-induced changes in river flow and sediment supply. In this study, we examine whether controlled floods, can in turn resupply aeolian sediment to some of the large source-bordering aeolian dunefields (SBDs) along the margins of the river. Using a legacy of high-resolution lidar remote-sensing and meteorological data, we characterize the response of four SBDs (a subset of 117 SBDs and other aeolian-sand-dominated areas in the canyon) during four sediment-laden controlled floods of the Colorado River in 2012, 2013, 2014, and 2016. We find that aeolian sediment resupply unambiguously occurred in 8 of the 16 instances of controlled flooding adjacent to SBDs. Resupply attributed to individual floods varied substantially among sites, and occurred with four, three, one, and zero floods at the four sites, respectively. We infer that the relative success of controlled floods as a regulated-river management tool for resupplying sediment to SBDs is analogous to the frequency of resupply observed for fluvial sandbars in this setting, in that sediment resupply was estimated to have occurred for roughly half of the instances of recent controlled flooding at sandbars monitored separately from this study. We find the methods developed in this, and a companion study, are effective tools to quantify geomorphic changes in sediment storage, along linked fluvial and aeolian pathways of sedimentary systems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.aeolia.2018.02.004","usgsCitation":"Sankey, J.B., Caster, J., Kasprak, A., and East, A.E., 2018, The response of source-bordering aeolian dunefields to sediment-supply changes 2: Controlled floods of the Colorado River in Grand Canyon, Arizona, USA: Aeolian Research, v. 32, p. 154-169, https://doi.org/10.1016/j.aeolia.2018.02.004.","productDescription":"16 p.","startPage":"154","endPage":"169","ipdsId":"IP-092082","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":460953,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aeolia.2018.02.004","text":"Publisher Index Page"},{"id":353403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.04907226562499,\n 35.64390523787731\n ],\n [\n -111.3958740234375,\n 35.64390523787731\n ],\n [\n -111.3958740234375,\n 36.97183825093165\n ],\n [\n -114.04907226562499,\n 36.97183825093165\n ],\n [\n -114.04907226562499,\n 35.64390523787731\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6dce4b0da30c1bfbece","contributors":{"authors":[{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":733245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caster, Joshua 0000-0002-2858-1228 jcaster@usgs.gov","orcid":"https://orcid.org/0000-0002-2858-1228","contributorId":199033,"corporation":false,"usgs":true,"family":"Caster","given":"Joshua","email":"jcaster@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":733247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kasprak, Alan 0000-0001-8184-6128 akasprak@usgs.gov","orcid":"https://orcid.org/0000-0001-8184-6128","contributorId":190848,"corporation":false,"usgs":true,"family":"Kasprak","given":"Alan","email":"akasprak@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":733246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":733248,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196495,"text":"70196495 - 2018 - The response of source-bordering aeolian dunefields to sediment-supply changes 1: Effects of wind variability and river-valley morphodynamics","interactions":[],"lastModifiedDate":"2018-04-13T10:39:20","indexId":"70196495","displayToPublicDate":"2018-04-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":666,"text":"Aeolian Research","active":true,"publicationSubtype":{"id":10}},"title":"The response of source-bordering aeolian dunefields to sediment-supply changes 1: Effects of wind variability and river-valley morphodynamics","docAbstract":"Source-bordering dunefields (SBDs), which are primarily built and maintained with river-derived sediment, are found in many large river valleys and are currently impacted by changes in sediment supply due to climate change, land use changes, and river regulation. Despite their importance, a physically based, applied approach for quantifying the response of SBDs to changes in sediment supply does not exist. To address this knowledge gap, here we develop an approach for quantifying the geomorphic responses to sediment-supply alteration based on the interpretation of dunefield morphodynamics from geomorphic change detection and wind characteristics. We use the approach to test hypotheses about the response of individual dunefields to variability in sediment supply at three SBDs along the Colorado River in Grand Canyon, Arizona, USA during the 11 years between 2002 and 2013 when several river floods rebuilt some river sandbars and channel margin deposits that serve as sediment source areas for the SBDs. We demonstrate that resupply of fluvially sourced aeolian sediment occurred at one of the SBDs, but not at the other two, and attribute this differential response to site-specific variability in geomorphology, wind, and sediment source areas. The approach we present is applied in a companion study to shorter time periods with high-resolution topographic data that bracket individual floods in order to infer the resupply of fluvially sourced aeolian sediment to SBDs by managed river flows. Such an applied methodology could also be useful for measuring sediment connectivity and anthropogenic alterations of connectivity in other coupled fluvial-aeolian environments.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.aeolia.2018.02.005","usgsCitation":"Sankey, J.B., Kasprak, A., Caster, J., East, A.E., and Fairley, H.C., 2018, The response of source-bordering aeolian dunefields to sediment-supply changes 1: Effects of wind variability and river-valley morphodynamics: Aeolian Research, v. 32, p. 228-245, https://doi.org/10.1016/j.aeolia.2018.02.005.","productDescription":"18 p.","startPage":"228","endPage":"245","ipdsId":"IP-091253","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":460945,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aeolia.2018.02.005","text":"Publisher Index Page"},{"id":353401,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.04907226562499,\n 35.64390523787731\n ],\n [\n -111.3958740234375,\n 35.64390523787731\n ],\n [\n -111.3958740234375,\n 36.97183825093165\n ],\n [\n -114.04907226562499,\n 36.97183825093165\n ],\n [\n -114.04907226562499,\n 35.64390523787731\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6e3e4b0da30c1bfbed0","contributors":{"authors":[{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":733240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kasprak, Alan 0000-0001-8184-6128","orcid":"https://orcid.org/0000-0001-8184-6128","contributorId":204162,"corporation":false,"usgs":true,"family":"Kasprak","given":"Alan","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":733241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caster, Joshua 0000-0002-2858-1228 jcaster@usgs.gov","orcid":"https://orcid.org/0000-0002-2858-1228","contributorId":199033,"corporation":false,"usgs":true,"family":"Caster","given":"Joshua","email":"jcaster@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":733242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":733243,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fairley, Helen C. 0000-0001-6151-4804 hfairley@usgs.gov","orcid":"https://orcid.org/0000-0001-6151-4804","contributorId":3040,"corporation":false,"usgs":true,"family":"Fairley","given":"Helen","email":"hfairley@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":733244,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196532,"text":"70196532 - 2018 - Measuring impact crater depth throughout the solar system","interactions":[],"lastModifiedDate":"2018-10-20T11:27:30","indexId":"70196532","displayToPublicDate":"2018-04-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2715,"text":"Meteoritics and Planetary Science","active":true,"publicationSubtype":{"id":10}},"title":"Measuring impact crater depth throughout the solar system","docAbstract":"One important, almost ubiquitous, tool for understanding the surfaces of solid bodies throughout the solar system is the study of impact craters. While measuring a distribution of crater diameters and locations is an important tool for a wide variety of studies, so too is measuring a crater's “depth.” Depth can inform numerous studies including the strength of a surface and modification rates in the local environment. There is, however, no standard data set, definition, or technique to perform this data‐gathering task, and the abundance of different definitions of “depth” and methods for estimating that quantity can lead to misunderstandings in and of the literature. In this review, we describe a wide variety of data sets and methods to analyze those data sets that have been, are currently, or could be used to derive different types of crater depth measurements. We also recommend certain nomenclature in doing so to help standardize practice in the field. We present a review section of all crater depths that have been published on different solar system bodies which shows how the field has evolved through time and how some common assumptions might not be wholly accurate. We conclude with several recommendations for researchers which could help different data sets to be more easily understood and compared.
","language":"English","publisher":"Wiley","doi":"10.1111/maps.12956","usgsCitation":"Robbins, S.J., Watters, W.A., Chappelow, J.E., Bray, V.J., Daubar, I.J., Craddock, R.A., Beyer, R.A., Landis, M., Ostrach, L.R., Tornabene, L.L., Riggs, J.D., and Weaver, B.P., 2018, Measuring impact crater depth throughout the solar system: Meteoritics and Planetary Science, v. 53, no. 4, p. 583-637, https://doi.org/10.1111/maps.12956.","productDescription":"55 p.","startPage":"583","endPage":"637","ipdsId":"IP-080986","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":468829,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/maps.12956","text":"Publisher Index Page"},{"id":353424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-20","publicationStatus":"PW","scienceBaseUri":"5afee6dbe4b0da30c1bfbebc","contributors":{"authors":[{"text":"Robbins, Stuart J.","contributorId":204229,"corporation":false,"usgs":false,"family":"Robbins","given":"Stuart","email":"","middleInitial":"J.","affiliations":[{"id":36712,"text":"Southwest Research Institute","active":true,"usgs":false}],"preferred":false,"id":733446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watters, Wesley A.","contributorId":204230,"corporation":false,"usgs":false,"family":"Watters","given":"Wesley","email":"","middleInitial":"A.","affiliations":[{"id":36886,"text":"Whitin Observatory, Department of Astronomy, Wellesley College","active":true,"usgs":false}],"preferred":false,"id":733447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chappelow, John E.","contributorId":204231,"corporation":false,"usgs":false,"family":"Chappelow","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":36887,"text":"Meteorifics Inc.","active":true,"usgs":false}],"preferred":false,"id":733448,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bray, Veronica J.","contributorId":204232,"corporation":false,"usgs":false,"family":"Bray","given":"Veronica","email":"","middleInitial":"J.","affiliations":[{"id":36888,"text":"Lunar and Planetary Laboratory, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":733449,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Daubar, Ingrid J.","contributorId":204233,"corporation":false,"usgs":false,"family":"Daubar","given":"Ingrid","email":"","middleInitial":"J.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":733450,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Craddock, Robert A.","contributorId":204234,"corporation":false,"usgs":false,"family":"Craddock","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":36889,"text":"Center for Earth and Planetary Studies, National Air and Space Museum, MRC-315, Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":733451,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beyer, Ross A.","contributorId":204235,"corporation":false,"usgs":false,"family":"Beyer","given":"Ross","email":"","middleInitial":"A.","affiliations":[{"id":36890,"text":"Sagan Center at the SETI Institute and NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":733452,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Landis, Margaret E.","contributorId":176713,"corporation":false,"usgs":false,"family":"Landis","given":"Margaret E.","affiliations":[{"id":25655,"text":"Lunar and Planetary Laboratory, 1629 E. University Blvd., The University of Arizona, Tucson, AZ 85721, United States","active":true,"usgs":false}],"preferred":false,"id":733453,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ostrach, Lillian R. 0000-0002-3107-7321 lostrach@usgs.gov","orcid":"https://orcid.org/0000-0002-3107-7321","contributorId":193078,"corporation":false,"usgs":true,"family":"Ostrach","given":"Lillian","email":"lostrach@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":733445,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Tornabene, Livio L.","contributorId":203691,"corporation":false,"usgs":false,"family":"Tornabene","given":"Livio","email":"","middleInitial":"L.","affiliations":[{"id":13255,"text":"University of Western Ontario","active":true,"usgs":false}],"preferred":false,"id":733454,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Riggs, Jamie D.","contributorId":204236,"corporation":false,"usgs":false,"family":"Riggs","given":"Jamie","email":"","middleInitial":"D.","affiliations":[{"id":25254,"text":"Northwestern University","active":true,"usgs":false}],"preferred":false,"id":733455,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Weaver, Brian P.","contributorId":204237,"corporation":false,"usgs":false,"family":"Weaver","given":"Brian","email":"","middleInitial":"P.","affiliations":[{"id":36891,"text":"Statistical Sciences, CCS-6, Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":733456,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70196527,"text":"70196527 - 2018 - Spectrally based bathymetric mapping of a dynamic, sand‐bedded channel: Niobrara River, Nebraska, USA","interactions":[],"lastModifiedDate":"2018-06-04T16:04:22","indexId":"70196527","displayToPublicDate":"2018-04-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Spectrally based bathymetric mapping of a dynamic, sand‐bedded channel: Niobrara River, Nebraska, USA","docAbstract":"Methods for spectrally based mapping of river bathymetry have been developed and tested in clear‐flowing, gravel‐bed channels, with limited application to turbid, sand‐bed rivers. This study used hyperspectral images and field surveys from the dynamic, sandy Niobrara River to evaluate three depth retrieval methods. The first regression‐based approach, optimal band ratio analysis (OBRA), paired in situ depth measurements with image pixel values to estimate depth. The second approach used ground‐based field spectra to calibrate an OBRA relationship. The third technique, image‐to‐depth quantile transformation (IDQT), estimated depth by linking the cumulative distribution function (CDF) of depth to the CDF of an image‐derived variable. OBRA yielded the lowest depth retrieval mean error (0.005 m) and highest observed versus predicted R2 (0.817). Although misalignment between field and image data did not compromise the performance of OBRA in this study, poor georeferencing could limit regression‐based approaches such as OBRA in dynamic, sand‐bedded rivers. Field spectroscopy‐based depth maps exhibited a mean error with a slight shallow bias (0.068 m) but provided reliable estimates for most of the study reach. IDQT had a strong deep bias but provided informative relative depth maps. Overprediction of depth by IDQT highlights the need for an unbiased sampling strategy to define the depth CDF. Although each of the techniques we tested demonstrated potential to provide accurate depth estimates in sand‐bed rivers, each method also was subject to certain constraints and limitations.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.3270","usgsCitation":"Dilbone, E., Legleiter, C.J., Alexander, J., and McElroy, B., 2018, Spectrally based bathymetric mapping of a dynamic, sand‐bedded channel: Niobrara River, Nebraska, USA: River Research and Applications, v. 34, no. 5, p. 430-441, https://doi.org/10.1002/rra.3270.","productDescription":"12 p.","startPage":"430","endPage":"441","ipdsId":"IP-089149","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":437948,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F75M647F","text":"USGS data release","linkHelpText":"Hyperspectral image data from the Niobrara River, Nebraska, November 2012 and August 2016"},{"id":437947,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7B856NC","text":"USGS data release","linkHelpText":"Field spectra from the Niobrara River, Nebraska, August 15-18, 2016"},{"id":437946,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7NK3CJ7","text":"USGS data release","linkHelpText":"Field-based bathymetric surveys of the Niobrara River, Nebraska, November 2012 and August 2016"},{"id":353413,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Niobrara River","volume":"34","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-06","publicationStatus":"PW","scienceBaseUri":"5afee6dbe4b0da30c1bfbec0","contributors":{"authors":[{"text":"Dilbone, Elizabeth 0000-0001-7360-4057","orcid":"https://orcid.org/0000-0001-7360-4057","contributorId":204219,"corporation":false,"usgs":false,"family":"Dilbone","given":"Elizabeth","email":"","affiliations":[{"id":36880,"text":"Department of Geography, University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":733411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":733410,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alexander, Jason S. 0000-0002-1602-482X","orcid":"https://orcid.org/0000-0002-1602-482X","contributorId":204220,"corporation":false,"usgs":false,"family":"Alexander","given":"Jason S.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false},{"id":36881,"text":"Department of Geology and Geophysics, University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":733413,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McElroy, Brandon","contributorId":198820,"corporation":false,"usgs":false,"family":"McElroy","given":"Brandon","affiliations":[],"preferred":false,"id":733412,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196499,"text":"70196499 - 2018 - New insights into the phylogenetics and population structure of the prairie falcon (Falco mexicanus)","interactions":[],"lastModifiedDate":"2018-04-24T14:12:57","indexId":"70196499","displayToPublicDate":"2018-04-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":956,"text":"BMC Genomics","active":true,"publicationSubtype":{"id":10}},"displayTitle":"New insights into the phylogenetics and population structure of the prairie falcon (Falco mexicanus)","title":"New insights into the phylogenetics and population structure of the prairie falcon (Falco mexicanus)","docAbstract":"Background
Management requires a robust understanding of between- and within-species genetic variability, however such data are still lacking in many species. For example, although multiple population genetics studies of the peregrine falcon (Falco peregrinus) have been conducted, no similar studies have been done of the closely-related prairie falcon (F. mexicanus) and it is unclear how much genetic variation and population structure exists across the species’ range. Furthermore, the phylogenetic relationship of F. mexicanus relative to other falcon species is contested. We utilized a genomics approach (i.e., genome sequencing and assembly followed by single nucleotide polymorphism genotyping) to rapidly address these gaps in knowledge.
Results
We sequenced the genome of a single female prairie falcon and generated a 1.17 Gb (gigabases) draft genome assembly. We generated maximum likelihood phylogenetic trees using complete mitochondrial genomes as well as nuclear protein-coding genes. This process provided evidence that F. mexicanus is an outgroup to the clade that includes the peregrine falcon and members of the subgenus Hierofalco. We annotated > 16,000 genes and almost 600,000 high-quality single nucleotide polymorphisms (SNPs) in the nuclear genome, providing the raw material for a SNP assay design featuring > 140 gene-associated markers and a molecular-sexing marker. We subsequently genotyped ~ 100 individuals from California (including the San Francisco East Bay Area, Pinnacles National Park and the Mojave Desert) and Idaho (Snake River Birds of Prey National Conservation Area). We tested for population structure and found evidence that individuals sampled in California and Idaho represent a single panmictic population.
Conclusions
Our study illustrates how genomic resources can rapidly shed light on genetic variability in understudied species and resolve phylogenetic relationships. Furthermore, we found evidence of a single, randomly mating population of prairie falcons across our sampling locations. Prairie falcons are highly mobile and relatively rare long-distance dispersal events may promote gene flow throughout the range. As such, California’s prairie falcons might be managed as a single population, indicating that management actions undertaken to benefit the species at the local level have the potential to influence the species as a whole.
Wind power is a fast-growing energy resource, but wind turbines can kill volant wildlife, and the flight behavior of obligate soaring birds can place them at risk of collision with these structures. We analyzed altitudinal data from GPS telemetry of critically endangered California Condors (Gymnogyps californianus) to assess the circumstances under which their flight behavior may place them at risk from collision with wind turbines. Condor flight behavior was strongly influenced by topography and land cover, and birds flew at lower altitudes and closer to the rotor-swept zone of wind turbines when over ridgelines and steep slopes and over forested and grassland cover types. Condor flight behavior was temporally predictable, and birds flew lower and closer to the rotor-swept zone during early morning and evening hours and during the winter months, when thermal updrafts were weakest. Although condors only occasionally flew at altitudes that placed them in the rotor-swept zone of turbines, they regularly flew near or within wind resource areas preferred by energy developers. Practitioners aiming to mitigate collision risk to this and other soaring bird species of conservation concern can consider the manner in which flight behavior varies temporally and in response to areas of high topographic relief and proximity to nocturnal roosting sites. By contrast, collision risk to large soaring birds from turbines should be relatively lower over flatter and less rugged areas and in habitat used during daytime soaring.
","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-17-100.1","usgsCitation":"Poessel, S.A., Brandt, J., Mendenhall, L.C., Braham, M., Lanzone, M., McGann, A., and Katzner, T., 2018, Flight response to spatial and temporal correlates informs risk from wind turbines to the California Condor: The Condor, v. 120, no. 2, p. 330-342, https://doi.org/10.1650/CONDOR-17-100.1.","productDescription":"13 p.","startPage":"330","endPage":"342","ipdsId":"IP-075138","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":353410,"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 -122.025146484375,\n 33.94335994657882\n ],\n [\n -117.59765625,\n 33.94335994657882\n ],\n [\n -117.59765625,\n 36.90597988519294\n ],\n [\n -122.025146484375,\n 36.90597988519294\n ],\n [\n -122.025146484375,\n 33.94335994657882\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"120","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6dce4b0da30c1bfbec6","contributors":{"authors":[{"text":"Poessel, Sharon A. 0000-0002-0283-627X spoessel@usgs.gov","orcid":"https://orcid.org/0000-0002-0283-627X","contributorId":168465,"corporation":false,"usgs":true,"family":"Poessel","given":"Sharon","email":"spoessel@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":733293,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandt, Joseph","contributorId":127742,"corporation":false,"usgs":false,"family":"Brandt","given":"Joseph","affiliations":[{"id":7133,"text":"California Condor Recovery Program, US Fish and Wildlife Service, Ventura, CA","active":true,"usgs":false}],"preferred":false,"id":733294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mendenhall, Laura C.","contributorId":168491,"corporation":false,"usgs":false,"family":"Mendenhall","given":"Laura","email":"","middleInitial":"C.","affiliations":[{"id":5128,"text":"U.S. Fish and Wildlife Service, University of Montana, Missoula, MT 59812","active":true,"usgs":false}],"preferred":false,"id":733295,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Braham, Melissa A.","contributorId":140127,"corporation":false,"usgs":false,"family":"Braham","given":"Melissa A.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":733296,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lanzone, Michael J.","contributorId":140128,"corporation":false,"usgs":false,"family":"Lanzone","given":"Michael J.","affiliations":[{"id":13392,"text":"Cellular Tracking Technologies","active":true,"usgs":false}],"preferred":false,"id":733297,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGann, Andrew J.","contributorId":168492,"corporation":false,"usgs":false,"family":"McGann","given":"Andrew J.","affiliations":[{"id":25310,"text":"Cellular Tracking Technologies, LLC","active":true,"usgs":false}],"preferred":false,"id":733298,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":733299,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70194212,"text":"tm16A1 - 2018 - Department of the Interior metadata implementation guide—Framework for developing the metadata component for data resource management","interactions":[],"lastModifiedDate":"2018-10-01T12:23:21","indexId":"tm16A1","displayToPublicDate":"2018-04-12T15:10:00","publicationYear":"2018","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":"16-A1","title":"Department of the Interior metadata implementation guide—Framework for developing the metadata component for data resource management","docAbstract":"The Department of the Interior (DOI) is a Federal agency with over 90,000 employees across 10 bureaus and 8 agency offices. Its primary mission is to protect and manage the Nation’s natural resources and cultural heritage; provide scientific and other information about those resources; and honor its trust responsibilities or special commitments to American Indians, Alaska Natives, and affiliated island communities. Data and information are critical in day-to-day operational decision making and scientific research. DOI is committed to creating, documenting, managing, and sharing high-quality data and metadata in and across its various programs that support its mission. Documenting data through metadata is essential in realizing the value of data as an enterprise asset. The completeness, consistency, and timeliness of metadata affect users’ ability to search for and discover the most relevant data for the intended purpose; and facilitates the interoperability and usability of these data among DOI bureaus and offices. Fully documented metadata describe data usability, quality, accuracy, provenance, and meaning.
Across DOI, there are different maturity levels and phases of information and metadata management implementations. The Department has organized a committee consisting of bureau-level points-of-contacts to collaborate on the development of more consistent, standardized, and more effective metadata management practices and guidance to support this shared mission and the information needs of the Department. DOI’s metadata implementation plans establish key roles and responsibilities associated with metadata management processes, procedures, and a series of actions defined in three major metadata implementation phases including: (1) Getting started—Planning Phase, (2) Implementing and Maintaining Operational Metadata Management Phase, and (3) the Next Steps towards Improving Metadata Management Phase. DOI’s phased approach for metadata management addresses some of the major data and metadata management challenges that exist across the diverse missions of the bureaus and offices. All employees who create, modify, or use data are involved with data and metadata management. Identifying, establishing, and formalizing the roles and responsibilities associated with metadata management are key to institutionalizing a framework of best practices, methodologies, processes, and common approaches throughout all levels of the organization; these are the foundation for effective data resource management. For executives and managers, metadata management strengthens their overarching views of data assets, holdings, and data interoperability; and clarifies how metadata management can help accelerate the compliance of multiple policy mandates. For employees, data stewards, and data professionals, formalized metadata management will help with the consistency of definitions, and approaches addressing data discoverability, data quality, and data lineage. In addition to data professionals and others associated with information technology; data stewards and program subject matter experts take on important metadata management roles and responsibilities as data flow through their respective business and science-related workflows. The responsibilities of establishing, practicing, and governing the actions associated with their specific metadata management roles are critical to successful metadata implementation.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Metadata in Book 16: Data resource management","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm16A1","collaboration":"Prepared in collaboration with Department of the Interior Data Resource Management in Support of the Department of the Interior Metadata Approach","usgsCitation":"Obuch, R.C., Carlino, Jennifer, Zhang, Lin, Blythe, Jonathan, Dietrich, Chris, Hawkinson, Christine, 2018, Department of the Interior metadata implementation guide—Framework for developing the metadata component for data resource management: U.S. Geological Survey Techniques and Methods, book 16, chap. A1, 14 p., https://doi.org/10.3133/tm16A1.","productDescription":"vi, 14 p.","numberOfPages":"24","onlineOnly":"Y","ipdsId":"IP-087710","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":353340,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/16/a1/tm16a1.pdf","text":"Report","size":"2.11 MB","linkFileType":{"id":1,"text":"pdf"},"description":"T&M 16-A1"},{"id":353339,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/16/a1/coverthb.jpg"}],"publicComments":"This report is Chapter 1 of Section A: Metadata in Book 16: Data resource management.","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Remote sensing based maps of tidal marshes, both of their extents and carbon stocks, have the potential to play a key role in conducting greenhouse gas inventories and implementing climate mitigation policies. Our objective was to generate a single remote sensing model of tidal marsh aboveground biomass and carbon that represents nationally diverse tidal marshes within the conterminous United States (CONUS). We developed the first calibration-grade, national-scale dataset of aboveground tidal marsh biomass, species composition, and aboveground plant carbon content (%C) from six CONUS regions: Cape Cod, MA, Chesapeake Bay, MD, Everglades, FL, Mississippi Delta, LA, San Francisco Bay, CA, and Puget Sound, WA. Using the random forest machine learning algorithm, we tested whether imagery from multiple sensors, Sentinel-1 C-band synthetic aperture radar, Landsat, and the National Agriculture Imagery Program (NAIP), can improve model performance. The final model, driven by six Landsat vegetation indices and with the soil adjusted vegetation index as the most important (n = 409, RMSE = 310 g/m2, 10.3% normalized RMSE), successfully predicted biomass for a range of marsh plant functional types defined by height, leaf angle and growth form. Model results were improved by scaling field-measured biomass calibration data by NAIP-derived 30 m fraction green vegetation. With a mean plant carbon content of 44.1% (n = 1384, 95% C.I. = 43.99%–44.37%), we generated regional 30 m aboveground carbon density maps for estuarine and palustrine emergent tidal marshes as indicated by a modified NOAA Coastal Change Analysis Program map. We applied a multivariate delta method to calculate uncertainties in regional carbon densities and stocks that considered standard error in map area, mean biomass and mean %C. Louisiana palustrine emergent marshes had the highest C density (2.67 ± 0.004 Mg/ha) of all regions, while San Francisco Bay brackish/saline marshes had the highest C density of all estuarine emergent marshes (2.03 ± 0.004 Mg/ha). Estimated C stocks for predefined jurisdictional areas ranged from 1023 ± 39 Mg in the Nisqually National Wildlife Refuge in Washington to 507,761 ± 14,822 Mg in the Terrebonne and St. Mary Parishes in Louisiana. This modeling and data synthesis effort will allow for aboveground C stocks in tidal marshes to be included in the coastal wetland section of the U.S. National Greenhouse Gas Inventory. With the increased availability of free post-processed satellite data, we provide a tractable means of modeling tidal marsh aboveground biomass and carbon at the global extent as well.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.isprsjprs.2018.03.019","usgsCitation":"Byrd, K.B., Ballanti, L., Thomas, N., Nguyen, D., Holmquist, J.R., Simard, M., and Windham-Myers, L., 2018, A remote sensing-based model of tidal marsh aboveground carbon stocks for the conterminous United States: ISPRS Journal of Photogrammetry and Remote Sensing, v. 139, p. 255-271, https://doi.org/10.1016/j.isprsjprs.2018.03.019.","productDescription":"17 p.","startPage":"255","endPage":"271","ipdsId":"IP-091200","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":468833,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.isprsjprs.2018.03.019","text":"Publisher Index Page"},{"id":437949,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90PG34S","text":"USGS data release","linkHelpText":"Tidal marsh biomass field plot and remote sensing datasets for six regions in the conterminous United States (ver. 2.0, June 2020)"},{"id":353396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"139","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6e3e4b0da30c1bfbed8","contributors":{"authors":[{"text":"Byrd, Kristin B. 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":3814,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":733142,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ballanti, Laurel 0000-0002-6478-8322 lballanti@usgs.gov","orcid":"https://orcid.org/0000-0002-6478-8322","contributorId":198603,"corporation":false,"usgs":true,"family":"Ballanti","given":"Laurel","email":"lballanti@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":733143,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Nathan","contributorId":204124,"corporation":false,"usgs":false,"family":"Thomas","given":"Nathan","affiliations":[{"id":33580,"text":"NASA-JPL","active":true,"usgs":false}],"preferred":false,"id":733144,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nguyen, Dung","contributorId":204125,"corporation":false,"usgs":false,"family":"Nguyen","given":"Dung","email":"","affiliations":[],"preferred":false,"id":733145,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holmquist, James R.","contributorId":173462,"corporation":false,"usgs":false,"family":"Holmquist","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":733146,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Simard, Marc","contributorId":19036,"corporation":false,"usgs":true,"family":"Simard","given":"Marc","email":"","affiliations":[],"preferred":false,"id":733147,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":733148,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70196476,"text":"70196476 - 2018 - In situ LA-ICPMS U–Pb dating of cassiterite without a known-age matrix-matched reference material: Examples from worldwide tin deposits spanning the Proterozoic to the Tertiary","interactions":[],"lastModifiedDate":"2018-04-11T14:41:38","indexId":"70196476","displayToPublicDate":"2018-04-11T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"In situ LA-ICPMS U–Pb dating of cassiterite without a known-age matrix-matched reference material: Examples from worldwide tin deposits spanning the Proterozoic to the Tertiary","docAbstract":"Cassiterite (SnO2), a main ore mineral in tin deposits, is suitable for U–Pb isotopic dating because of its relatively high U/Pb ratios and typically low common Pb. We report a LA-ICPMS analytical procedure for U–Pb dating of this mineral with no need for an independently dated matrix-matched cassiterite standard. LA-ICPMS U-Th-Pb data were acquired while using NIST 612 glass as a primary non-matrix-matched standard. Raw data are reduced using a combination of Iolite™ and other off-line data reduction methods. Cassiterite is extremely difficult to digest, so traditional approaches in LA-ICPMS U-Pb geochronology that utilize well-characterized matrix-matched reference materials (e.g., age values determined by ID-TIMS) cannot be easily implemented. We propose a new approach for in situ LA-ICPMS dating of cassiterite, which benefits from the unique chemistry of cassiterite with extremely low Th concentrations (Th/U ratio of 10−4 or lower) in some cassiterite samples. Accordingly, it is assumed that 208Pb measured in cassiterite is mostly of non-radiogenic origin—it was initially incorporated in cassiterite during mineral formation, and can be used as a proxy for common Pb. Using 208Pb as a common Pb proxy instead of 204Pb is preferred as 204Pb is much less abundant and is also compromised by 204Hg interference during the LA-ICPMS analyses.
Our procedure relies on 208Pb/206Pb vs 207Pb/206Pb (Pb-Pb) and Tera-Wasserburg 207Pb/206Pb vs 238U/206Pb (U-Pb) isochron dates that are calculated for a ~1.54 Ga low-Th cassiterite reference material with varying amounts of common Pb that we assume remained a closed U-Pb system. The difference between the NIST 612 glass normalized biased U-Pb date and the Pb-Pb age of the reference material is used to calculate a correction factor (F) for instrumental U-Pb fractionation. The correction factor (F) is then applied to measured U/Pb ratios and Tera-Wasserburg isochron dates are obtained for the unknown cassiterite analyzed in the same analytical session. This allows for U-Pb dating of cassiterite of any age with no need for an independently dated matrix-matched reference material, nor assumptions about the isotopic composition of common Pb.
Results for cassiterite from tin deposits in Bolivia, Brazil, China, Russia, Saudi Arabia, South Africa, Spain, and the United Kingdom, with ages ranging from ~20 Ma to ~2060 Ma, demonstrate the applicability of this approach across a broad range of geologic time. These ages are in good agreement with published geochronology of the host rocks associated with the tin deposits and with previously published U-Pb ages of some cassiterites from the same deposits. Thus, our in situ LA-ICPMS methodology verifies the use of cassiterite as a reliable U-Pb mineral-geochronometer with the advantages of fast and relatively low cost in situ analyses with moderate spatial resolution.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2018.03.008","usgsCitation":"Neymark, L., Holm-Denoma, C.S., and Moscati, R.J., 2018, In situ LA-ICPMS U–Pb dating of cassiterite without a known-age matrix-matched reference material: Examples from worldwide tin deposits spanning the Proterozoic to the Tertiary: Chemical Geology, v. 483, p. 410-425, https://doi.org/10.1016/j.chemgeo.2018.03.008.","productDescription":"16 p.","startPage":"410","endPage":"425","ipdsId":"IP-092649","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":460955,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemgeo.2018.03.008","text":"Publisher Index Page"},{"id":437952,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7BP021W","text":"USGS data release","linkHelpText":"U-Pb data for: In situ LA-ICPMS U-Pb dating of cassiterite without a known-age matrix-matched reference material: Examples from worldwide tin deposits spanning the Proterozoic to Tertiary"},{"id":353333,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"483","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6e4e4b0da30c1bfbee4","contributors":{"authors":[{"text":"Neymark, Leonid A. 0000-0003-4190-0278 lneymark@usgs.gov","orcid":"https://orcid.org/0000-0003-4190-0278","contributorId":140338,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid A.","email":"lneymark@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":733136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440 cholm-denoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":2442,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher","email":"cholm-denoma@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":733137,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moscati, Richard J. 0000-0002-0818-4401 rmoscati@usgs.gov","orcid":"https://orcid.org/0000-0002-0818-4401","contributorId":2462,"corporation":false,"usgs":true,"family":"Moscati","given":"Richard","email":"rmoscati@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":733138,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70195822,"text":"ofr20181018 - 2018 - Quality-control design for surface-water sampling in the National Water-Quality Network","interactions":[],"lastModifiedDate":"2018-04-10T11:22:25","indexId":"ofr20181018","displayToPublicDate":"2018-04-10T11:45:00","publicationYear":"2018","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":"2018-1018","title":"Quality-control design for surface-water sampling in the National Water-Quality Network","docAbstract":"The data-quality objectives for samples collected at surface-water sites in the National Water-Quality Network include estimating the extent to which contamination, matrix effects, and measurement variability affect interpretation of environmental conditions. Quality-control samples provide insight into how well the samples collected at surface-water sites represent the true environmental conditions. Quality-control samples used in this program include field blanks, replicates, and field matrix spikes. This report describes the design for collection of these quality-control samples and the data management needed to properly identify these samples in the U.S. Geological Survey’s national database.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181018","collaboration":"National Water-Quality Program","usgsCitation":"Riskin, M.L., Reutter, D.C., Martin, J.D., and Mueller, D.K., 2018, Quality-control design for surface-water sampling in the National Water-Quality Network: U.S. Geological Survey Open-File Report 2018–1018, 15 p., https://doi.org/10.3133/ofr20181018.","productDescription":"vi, 15 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-088810","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":352918,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1018/ofr20181018.pdf","text":"Report","size":"1.03 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1018"},{"id":352917,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1018/coverthb.jpg"}],"contact":"Program Coordinator, National Water Quality Program
U.S. Geological Survey
413 National Center
12201 Sunrise Valley Drive
Reston, VA 20192
The U.S. Geological Survey studies the effects of weather, climate, and man-made influences on groundwater levels, streamflow, and reservoir and lake levels, as well as on the ecological health of rivers, lakes, reservoirs, watersheds, estuaries, aquifers, soils, beaches, and wildlife. From these studies, the USGS produces high-quality, timely, and unbiased scientific research and data that are widely accessible and relevant to all levels of government, Tribal Nations, academic institutions, nongovernmental organizations, the private sector, and the general public. In New York, the U.S. Geological Survey works with other Federal agencies, State and municipal government, Tribal Nations, and the private sector to develop products that inform decision makers, legislators, and the general public.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip185","isbn":"978-1-4113-4202-6","usgsCitation":"U.S. Geological Survey, 2018, Water resources science of the U.S. Geological Survey in New York: U.S. Geological Survey General Information Product 185, 20 p., https://doi.org/10.3133/gip185.","productDescription":"24 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-079623","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":353109,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/0185/coverthb.jpg"},{"id":353110,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/0185/gip185.pdf","text":"Report","size":"14.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 185"}],"country":"United States","state":"New York","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-74.04086,40.700117],[-74.037998,40.698995],[-74.044451,40.688445],[-74.046359,40.689175],[-74.04086,40.700117]]],[[[-74.144428,40.53516],[-74.177986,40.519603],[-74.182157,40.520634],[-74.199923,40.511729],[-74.210474,40.509448],[-74.219787,40.502603],[-74.23324,40.501299],[-74.246688,40.496103],[-74.250188,40.496703],[-74.254588,40.502303],[-74.256088,40.507903],[-74.252702,40.513895],[-74.242888,40.520903],[-74.241732,40.531273],[-74.247808,40.543396],[-74.229002,40.555041],[-74.216997,40.554991],[-74.210887,40.560902],[-74.204054,40.589336],[-74.19682,40.597037],[-74.195407,40.601806],[-74.196096,40.616169],[-74.200994,40.616906],[-74.201812,40.619507],[-74.20058,40.631448],[-74.1894,40.642121],[-74.180191,40.645521],[-74.174085,40.645109],[-74.170187,40.642201],[-74.152973,40.638886],[-74.120186,40.642201],[-74.086485,40.648601],[-74.075884,40.648101],[-74.0697,40.641216],[-74.067598,40.623865],[-74.053125,40.603678],[-74.059184,40.593502],[-74.111471,40.546908],[-74.121672,40.542691],[-74.137241,40.530076],[-74.144428,40.53516]]],[[[-72.132225,41.104387],[-72.128352,41.108131],[-72.126704,41.115139],[-72.084207,41.101524],[-72.081167,41.09394],[-72.086975,41.058292],[-72.0972,41.054884],[-72.097136,41.075844],[-72.1064,41.088883],[-72.12056,41.093171],[-72.139233,41.092451],[-72.141921,41.094371],[-72.142929,41.097811],[-72.140737,41.100835],[-72.132225,41.104387]]],[[[-71.943563,41.286675],[-71.926802,41.290122],[-71.935259,41.280579],[-71.978926,41.265002],[-72.002461,41.252867],[-72.036846,41.249794],[-72.029438,41.26309],[-72.018926,41.274114],[-72.006872,41.27348],[-71.991117,41.281331],[-71.980061,41.280291],[-71.943563,41.286675]]],[[[-73.767176,40.886299],[-73.766276,40.881099],[-73.770876,40.879299],[-73.775276,40.882199],[-73.770576,40.888399],[-73.767176,40.886299]]],[[[-73.773361,40.859449],[-73.770552,40.86033],[-73.766333,40.857317],[-73.766032,40.844961],[-73.769648,40.84466],[-73.773038,40.848125],[-73.773361,40.859449]]],[[[-74.027392,44.995765],[-73.874597,45.001223],[-73.639718,45.003464],[-73.343124,45.01084],[-73.354633,44.987352],[-73.350218,44.976222],[-73.338734,44.965886],[-73.338979,44.917681],[-73.353657,44.907346],[-73.35808,44.901325],[-73.369103,44.86668],[-73.379822,44.857037],[-73.381359,44.845021],[-73.379452,44.83801],[-73.375345,44.836307],[-73.369647,44.829136],[-73.354945,44.8215],[-73.335443,44.804602],[-73.333154,44.788759],[-73.335713,44.782086],[-73.347072,44.772988],[-73.354361,44.755296],[-73.365561,44.741786],[-73.36556,44.700297],[-73.361323,44.695369],[-73.365297,44.687546],[-73.370142,44.684853],[-73.367209,44.678513],[-73.371089,44.67753],[-73.37272,44.668739],[-73.369669,44.663478],[-73.379074,44.656772],[-73.378014,44.653846],[-73.383157,44.645764],[-73.378561,44.641475],[-73.386783,44.636369],[-73.386497,44.626924],[-73.390231,44.618353],[-73.382932,44.612184],[-73.376849,44.599598],[-73.376806,44.595455],[-73.381848,44.589316],[-73.375666,44.582038],[-73.374389,44.575455],[-73.356788,44.557918],[-73.338751,44.548046],[-73.3393,44.544477],[-73.331595,44.535924],[-73.329458,44.529203],[-73.322026,44.525289],[-73.320836,44.513631],[-73.306707,44.500334],[-73.304418,44.485739],[-73.298939,44.471304],[-73.300114,44.454711],[-73.293613,44.440559],[-73.296031,44.428339],[-73.310491,44.402601],[-73.315016,44.388513],[-73.333575,44.372288],[-73.334939,44.364441],[-73.334637,44.356877],[-73.323997,44.333842],[-73.324229,44.310023],[-73.312299,44.280025],[-73.311025,44.27424],[-73.312852,44.265346],[-73.323596,44.243897],[-73.329322,44.244504],[-73.34323,44.238049],[-73.342312,44.234531],[-73.349889,44.230356],[-73.362013,44.208545],[-73.382252,44.197178],[-73.383987,44.193158],[-73.390583,44.190886],[-73.389658,44.181249],[-73.396892,44.173846],[-73.395399,44.166903],[-73.398728,44.162248],[-73.402381,44.145856],[-73.415761,44.132826],[-73.411316,44.112686],[-73.416319,44.099422],[-73.429239,44.079414],[-73.43774,44.045006],[-73.42312,44.032759],[-73.410776,44.026944],[-73.407739,44.021312],[-73.405977,44.011485],[-73.412613,43.97998],[-73.406823,43.967317],[-73.405525,43.948813],[-73.408589,43.932933],[-73.395878,43.903044],[-73.383491,43.890951],[-73.374051,43.875563],[-73.382046,43.855008],[-73.372462,43.846266],[-73.373688,43.84261],[-73.388389,43.832404],[-73.392492,43.820779],[-73.380804,43.810951],[-73.376361,43.798766],[-73.357547,43.785933],[-73.354758,43.776721],[-73.350593,43.771939],[-73.369725,43.744274],[-73.370612,43.725329],[-73.385883,43.711336],[-73.395517,43.696831],[-73.404739,43.690213],[-73.404126,43.681339],[-73.415513,43.65245],[-73.426463,43.642598],[-73.42791,43.634428],[-73.417668,43.621687],[-73.423708,43.612356],[-73.421616,43.603023],[-73.431229,43.588285],[-73.428636,43.583994],[-73.420378,43.581489],[-73.405629,43.571179],[-73.395767,43.568087],[-73.383369,43.57677],[-73.383446,43.596778],[-73.372469,43.604848],[-73.376036,43.612596],[-73.369933,43.619093],[-73.371889,43.624489],[-73.347621,43.622509],[-73.342181,43.62607],[-73.323893,43.627629],[-73.310606,43.624114],[-73.306234,43.628018],[-73.302076,43.624364],[-73.300285,43.610806],[-73.292232,43.60255],[-73.292801,43.593861],[-73.296924,43.587323],[-73.292364,43.585104],[-73.294621,43.57897],[-73.284912,43.579272],[-73.279726,43.574241],[-73.26938,43.571973],[-73.258631,43.564949],[-73.248641,43.553857],[-73.250132,43.543429],[-73.246585,43.541855],[-73.24139,43.532345],[-73.247698,43.523173],[-73.256493,43.259249],[-73.26978,43.035923],[-73.278673,42.83341],[-73.285388,42.834093],[-73.287063,42.82014],[-73.28375,42.813864],[-73.290944,42.80192],[-73.276421,42.746019],[-73.264957,42.74594],[-73.508142,42.086257],[-73.496879,42.049675],[-73.487314,42.049638],[-73.489615,42.000092],[-73.521041,41.619773],[-73.550961,41.295422],[-73.482709,41.21276],[-73.727775,41.100696],[-73.654671,41.011697],[-73.659372,40.999497],[-73.659671,40.987909],[-73.655972,40.979597],[-73.662072,40.966198],[-73.664472,40.967198],[-73.678073,40.962798],[-73.686473,40.945198],[-73.721739,40.932037],[-73.756776,40.912599],[-73.781338,40.885447],[-73.784803,40.878528],[-73.788786,40.858485],[-73.78806,40.854131],[-73.782174,40.847358],[-73.781206,40.838891],[-73.783867,40.836795],[-73.785399,40.838004],[-73.791044,40.846552],[-73.789512,40.85139],[-73.793785,40.855583],[-73.799543,40.848027],[-73.806914,40.849501],[-73.81281,40.846737],[-73.815205,40.831075],[-73.804518,40.818546],[-73.797332,40.815597],[-73.781369,40.794907],[-73.776032,40.795275],[-73.768431,40.800704],[-73.754032,40.820941],[-73.7544,40.826837],[-73.728275,40.8529],[-73.726675,40.8568],[-73.729575,40.8665],[-73.713674,40.870099],[-73.675573,40.856999],[-73.655872,40.863899],[-73.654372,40.878199],[-73.633771,40.898198],[-73.617571,40.897898],[-73.569969,40.915398],[-73.566169,40.915798],[-73.548068,40.908698],[-73.519267,40.914298],[-73.514999,40.912821],[-73.499941,40.918166],[-73.491765,40.942097],[-73.485365,40.946397],[-73.463708,40.937697],[-73.437509,40.934985],[-73.429863,40.929797],[-73.428836,40.921506],[-73.406074,40.920235],[-73.402963,40.925097],[-73.403462,40.942197],[-73.400862,40.953997],[-73.392862,40.955297],[-73.374462,40.937597],[-73.365961,40.931697],[-73.352761,40.926697],[-73.345561,40.925297],[-73.344161,40.927297],[-73.33136,40.929597],[-73.295061,40.924497],[-73.229285,40.905121],[-73.148994,40.928898],[-73.146242,40.935074],[-73.144673,40.955842],[-73.140785,40.966178],[-73.110368,40.971938],[-73.081582,40.973058],[-73.043701,40.962185],[-73.040445,40.964498],[-72.995931,40.966498],[-72.88825,40.962962],[-72.826057,40.969794],[-72.774104,40.965314],[-72.760031,40.975334],[-72.714425,40.985596],[-72.689341,40.989776],[-72.665018,40.987496],[-72.585327,40.997587],[-72.565406,41.009508],[-72.560974,41.015444],[-72.549853,41.019844],[-72.521548,41.037652],[-72.477306,41.052212],[-72.460778,41.067012],[-72.445242,41.086116],[-72.417945,41.087955],[-72.397,41.096307],[-72.356087,41.133635],[-72.322381,41.140664],[-72.291109,41.155874],[-72.278789,41.158722],[-72.2681,41.154146],[-72.245348,41.161217],[-72.238211,41.15949],[-72.237731,41.156434],[-72.253572,41.137138],[-72.265124,41.128482],[-72.300374,41.112274],[-72.300044,41.132059],[-72.306381,41.13784],[-72.318146,41.137134],[-72.32663,41.132162],[-72.335271,41.120274],[-72.335177,41.106917],[-72.317238,41.088659],[-72.297718,41.081042],[-72.280373,41.080402],[-72.276709,41.076722],[-72.283093,41.067874],[-72.273657,41.051533],[-72.260515,41.042065],[-72.229364,41.044355],[-72.201859,41.032275],[-72.190563,41.032579],[-72.183266,41.035619],[-72.174882,41.046147],[-72.162898,41.053187],[-72.153857,41.051859],[-72.137297,41.039684],[-72.135137,41.031284],[-72.137409,41.023908],[-72.116368,40.999796],[-72.10216,40.991509],[-72.095456,40.991349],[-72.083039,40.996453],[-72.076175,41.009093],[-72.061448,41.009442],[-72.057934,41.004789],[-72.051585,41.006437],[-72.049526,41.009697],[-72.051928,41.020506],[-72.047468,41.022565],[-72.035792,41.020759],[-72.015013,41.028348],[-71.99926,41.039669],[-71.96704,41.047772],[-71.961078,41.054277],[-71.959595,41.071237],[-71.93825,41.077413],[-71.899256,41.080837],[-71.889543,41.075701],[-71.869558,41.075046],[-71.86447,41.076918],[-71.857494,41.073558],[-71.856214,41.070598],[-71.87391,41.052278],[-71.903736,41.040166],[-71.935689,41.034182],[-72.029357,40.999909],[-72.114448,40.972085],[-72.39585,40.86666],[-72.469996,40.84274],[-72.753112,40.763571],[-72.768152,40.761587],[-72.863164,40.732962],[-73.054963,40.666371],[-73.20844,40.630884],[-73.262106,40.621476],[-73.306396,40.620756],[-73.319257,40.635795],[-73.351465,40.6305],[-73.391967,40.617501],[-73.450369,40.603501],[-73.562372,40.583703],[-73.610873,40.587703],[-73.646674,40.582804],[-73.754776,40.584404],[-73.753349,40.59056],[-73.774928,40.590759],[-73.834408,40.577201],[-73.878906,40.560888],[-73.934512,40.545175],[-73.932729,40.560266],[-73.935686,40.564914],[-73.95005,40.573363],[-73.991346,40.57035],[-74.002056,40.570623],[-74.012022,40.574528],[-74.012996,40.578169],[-74.001591,40.590684],[-74.003281,40.595754],[-74.010926,40.600789],[-74.032856,40.604421],[-74.03959,40.612934],[-74.042412,40.624847],[-74.038336,40.637074],[-74.032066,40.646479],[-74.018272,40.659019],[-74.020467,40.67877],[-74.024827,40.687007],[-74.01849,40.695457],[-74.0168,40.701794],[-74.019526,40.706985],[-74.024543,40.709436],[-74.013784,40.756601],[-73.963182,40.8269],[-73.953982,40.848],[-73.929006,40.889578],[-73.896479,40.981697],[-73.893979,40.997197],[-73.90501,40.997591],[-74.18239,41.121595],[-74.301994,41.172594],[-74.457584,41.248225],[-74.696398,41.357339],[-74.689767,41.361558],[-74.691129,41.367324],[-74.708458,41.378901],[-74.715979,41.392584],[-74.73364,41.396975],[-74.740963,41.40512],[-74.741086,41.411413],[-74.734731,41.422699],[-74.738455,41.430641],[-74.743821,41.430635],[-74.758587,41.423287],[-74.773239,41.426352],[-74.790417,41.42166],[-74.795396,41.42398],[-74.801225,41.4381],[-74.807582,41.442847],[-74.817995,41.440505],[-74.826031,41.431736],[-74.830671,41.430503],[-74.836915,41.431625],[-74.858578,41.444427],[-74.888691,41.438259],[-74.893913,41.43893],[-74.896399,41.442179],[-74.889075,41.451245],[-74.890358,41.455324],[-74.906887,41.461131],[-74.909181,41.472436],[-74.912517,41.475605],[-74.924092,41.477138],[-74.932585,41.482323],[-74.941798,41.483542],[-74.95826,41.476396],[-74.983341,41.480894],[-74.985595,41.485863],[-74.982168,41.498486],[-74.984372,41.506611],[-74.987645,41.508738],[-75.003151,41.508101],[-75.000911,41.519292],[-75.00385,41.524052],[-75.014919,41.531399],[-75.024206,41.534018],[-75.024798,41.539801],[-75.016144,41.544246],[-75.018524,41.551802],[-75.027343,41.563541],[-75.04049,41.569688],[-75.04676,41.583258],[-75.060012,41.590813],[-75.074613,41.605711],[-75.071667,41.609501],[-75.059725,41.610801],[-75.061675,41.615468],[-75.060098,41.617482],[-75.05385,41.618655],[-75.048385,41.615986],[-75.044224,41.617978],[-75.043562,41.62364],[-75.048658,41.633781],[-75.04992,41.662556],[-75.059332,41.67232],[-75.051285,41.679961],[-75.052736,41.688393],[-75.059829,41.699716],[-75.06883,41.708161],[-75.06663,41.712588],[-75.052226,41.711396],[-75.049862,41.713309],[-75.054818,41.735168],[-75.053431,41.752538],[-75.060759,41.764638],[-75.075942,41.771518],[-75.095451,41.768366],[-75.10099,41.769121],[-75.10464,41.774203],[-75.101463,41.787941],[-75.092876,41.796386],[-75.076889,41.798509],[-75.072168,41.808327],[-75.072172,41.813732],[-75.078063,41.815112],[-75.089484,41.811576],[-75.100024,41.818347],[-75.113334,41.822782],[-75.115147,41.827285],[-75.113369,41.840698],[-75.115598,41.844638],[-75.130983,41.845145],[-75.140241,41.852078],[-75.152898,41.848564],[-75.161541,41.849836],[-75.168733,41.859258],[-75.168053,41.867043],[-75.170565,41.871608],[-75.176633,41.872371],[-75.185254,41.85993],[-75.194382,41.867287],[-75.204002,41.869867],[-75.21497,41.867449],[-75.223734,41.857456],[-75.231612,41.859459],[-75.241134,41.867118],[-75.251197,41.86204],[-75.260527,41.8638],[-75.263815,41.870757],[-75.257564,41.877108],[-75.260623,41.883783],[-75.271292,41.88736],[-75.272778,41.897112],[-75.267773,41.901971],[-75.267562,41.907054],[-75.276552,41.922208],[-75.279094,41.938917],[-75.289383,41.942891],[-75.293713,41.954593],[-75.300409,41.953871],[-75.301233,41.9489],[-75.303966,41.948216],[-75.312817,41.950182],[-75.318168,41.954236],[-75.32004,41.960867],[-75.329318,41.968232],[-75.342204,41.972872],[-75.337602,41.9867],[-75.341125,41.992772],[-75.359579,41.999445],[-76.343722,41.998346],[-76.920784,42.001774],[-77.124693,41.999395],[-77.83203,41.998524],[-78.12473,42.000452],[-78.874759,41.997559],[-79.761374,41.999067],[-79.761951,42.26986],[-79.717825,42.284711],[-79.645358,42.315631],[-79.546262,42.363417],[-79.474794,42.404291],[-79.453533,42.411157],[-79.429119,42.42838],[-79.405458,42.453281],[-79.381943,42.466491],[-79.351989,42.48892],[-79.331483,42.489076],[-79.31774,42.499884],[-79.283364,42.511228],[-79.264624,42.523159],[-79.242889,42.531757],[-79.193232,42.545881],[-79.148723,42.553672],[-79.138569,42.564462],[-79.12963,42.589824],[-79.121921,42.594234],[-79.113713,42.605994],[-79.111361,42.613358],[-79.078761,42.640058],[-79.073261,42.639958],[-79.06376,42.644758],[-79.062261,42.668358],[-79.04886,42.689158],[-79.01886,42.701558],[-78.991159,42.705358],[-78.944158,42.731958],[-78.918157,42.737258],[-78.868556,42.770258],[-78.853455,42.783958],[-78.851355,42.791758],[-78.856456,42.800258],[-78.859356,42.800658],[-78.863656,42.813058],[-78.865656,42.826758],[-78.860445,42.83511],[-78.859456,42.841358],[-78.865592,42.852358],[-78.872227,42.853306],[-78.882557,42.867258],[-78.891655,42.884845],[-78.912458,42.886557],[-78.905758,42.899957],[-78.905659,42.923357],[-78.909159,42.933257],[-78.918859,42.946857],[-78.93236,42.955857],[-78.961761,42.957756],[-78.975062,42.968756],[-79.011563,42.985256],[-79.019964,42.994756],[-79.02092,43.014287],[-79.011764,43.028956],[-79.005164,43.047056],[-79.00545,43.057231],[-79.01053,43.064389],[-79.074467,43.077855],[-79.074678,43.083141],[-79.064754,43.093205],[-79.060281,43.105086],[-79.062518,43.120182],[-79.060206,43.124799],[-79.044066,43.138055],[-79.042366,43.143655],[-79.046567,43.162355],[-79.053067,43.173655],[-79.050744,43.197417],[-79.055868,43.238554],[-79.061388,43.251349],[-79.070469,43.262454],[-79.019848,43.273686],[-78.971866,43.281254],[-78.836261,43.318455],[-78.777759,43.327055],[-78.747158,43.334555],[-78.696856,43.341255],[-78.634346,43.357624],[-78.547395,43.369541],[-78.488857,43.374763],[-78.473099,43.370812],[-78.370221,43.376505],[-78.358711,43.373988],[-78.233609,43.36907],[-78.145195,43.37551],[-78.104509,43.375628],[-78.023609,43.366575],[-77.995591,43.365293],[-77.976438,43.369159],[-77.965238,43.368059],[-77.922736,43.35696],[-77.904836,43.35696],[-77.875335,43.34966],[-77.797381,43.339857],[-77.760231,43.341161],[-77.756931,43.337361],[-77.714129,43.323561],[-77.701429,43.308261],[-77.660359,43.282998],[-77.628315,43.271303],[-77.577223,43.243263],[-77.551022,43.235763],[-77.534184,43.234569],[-77.50092,43.250363],[-77.476642,43.254522],[-77.436831,43.265701],[-77.414516,43.269263],[-77.391015,43.276363],[-77.341092,43.280661],[-77.314619,43.28103],[-77.303979,43.27815],[-77.264177,43.277363],[-77.214058,43.284114],[-77.173088,43.281509],[-77.143416,43.287561],[-77.130429,43.285635],[-77.111866,43.287945],[-77.067295,43.280937],[-77.033875,43.271218],[-76.999691,43.271456],[-76.988445,43.2745],[-76.958402,43.270005],[-76.952174,43.270692],[-76.904288,43.291816],[-76.877397,43.292926],[-76.854976,43.298443],[-76.841675,43.305399],[-76.794708,43.309632],[-76.769025,43.318452],[-76.731039,43.343421],[-76.69836,43.344436],[-76.684856,43.352691],[-76.669624,43.366526],[-76.630774,43.413356],[-76.607093,43.423374],[-76.562826,43.448537],[-76.53181,43.460299],[-76.521999,43.468617],[-76.515882,43.471136],[-76.506858,43.469127],[-76.486962,43.47535],[-76.472498,43.492781],[-76.437473,43.509213],[-76.417581,43.521285],[-76.368849,43.525822],[-76.345492,43.513437],[-76.297103,43.51287],[-76.259858,43.524728],[-76.235834,43.529256],[-76.228701,43.532987],[-76.217958,43.545156],[-76.209853,43.560136],[-76.203473,43.574978],[-76.199138,43.600454],[-76.196596,43.649761],[-76.205436,43.718751],[-76.213205,43.753513],[-76.229268,43.804135],[-76.250135,43.825713],[-76.266977,43.838046],[-76.283307,43.843923],[-76.284481,43.850968],[-76.28272,43.858601],[-76.261584,43.873278],[-76.243384,43.877975],[-76.227485,43.875061],[-76.219313,43.86682],[-76.202257,43.864898],[-76.158249,43.887542],[-76.145506,43.888681],[-76.133267,43.892975],[-76.127285,43.897889],[-76.125023,43.912773],[-76.133697,43.940356],[-76.134296,43.954726],[-76.139086,43.962111],[-76.146072,43.964705],[-76.169802,43.962202],[-76.184874,43.971128],[-76.22805,43.982737],[-76.244439,43.975803],[-76.264294,43.978009],[-76.268706,43.980846],[-76.266733,43.995578],[-76.269672,44.001148],[-76.281928,44.009177],[-76.296755,44.013307],[-76.298962,44.017719],[-76.300222,44.022762],[-76.296986,44.045455],[-76.300532,44.057188],[-76.360306,44.070907],[-76.360798,44.087644],[-76.366972,44.100409],[-76.363835,44.111696],[-76.355679,44.133258],[-76.312647,44.199044],[-76.286547,44.203773],[-76.245487,44.203669],[-76.206777,44.214543],[-76.191328,44.221244],[-76.164265,44.239603],[-76.161833,44.280777],[-76.130884,44.296635],[-76.118136,44.29485],[-76.111931,44.298031],[-76.097351,44.299547],[-76.045228,44.331724],[-76.000998,44.347534],[-75.978281,44.34688],[-75.970185,44.342835],[-75.94954,44.349129],[-75.929465,44.359603],[-75.922247,44.36568],[-75.912985,44.368084],[-75.871496,44.394839],[-75.82083,44.432244],[-75.807778,44.471644],[-75.76623,44.515851],[-75.662381,44.591934],[-75.618364,44.619637],[-75.505903,44.705081],[-75.477642,44.720224],[-75.423943,44.756329],[-75.413885,44.76889],[-75.397007,44.773471],[-75.387371,44.78003],[-75.372347,44.78311],[-75.346527,44.805563],[-75.333744,44.806378],[-75.306487,44.826144],[-75.30763,44.836813],[-75.26825,44.855119],[-75.255517,44.857651],[-75.241303,44.866958],[-75.228635,44.8679],[-75.218548,44.87554],[-75.203012,44.877548],[-75.142958,44.900237],[-75.133977,44.911838],[-75.105162,44.921193],[-75.096659,44.927067],[-75.066245,44.930174],[-75.059966,44.93457],[-75.027125,44.946568],[-75.005155,44.958402],[-74.999655,44.965921],[-74.99927,44.971638],[-74.992756,44.977449],[-74.972463,44.983402],[-74.907956,44.983359],[-74.900733,44.992754],[-74.887837,45.000046],[-74.861927,45.002771],[-74.834669,45.014683],[-74.826578,45.01585],[-74.799434,45.009132],[-74.793148,45.004647],[-74.768749,45.003893],[-74.760215,44.994946],[-74.74464,44.990577],[-74.731301,44.990422],[-74.722574,44.998062],[-74.702018,45.003322],[-74.683973,44.99969],[-74.667338,45.001648],[-74.661478,44.999592],[-74.45753,44.997032],[-74.335184,44.991905],[-74.146814,44.9915],[-74.027392,44.995765]]]]},\"properties\":{\"name\":\"New York\",\"nation\":\"USA \"}}]}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180
The generation of runoff and the resultant flash flooding can be substantially larger following wildfire than for similar rainstorms that precede wildfire disturbance. Flash flooding after the 2011 Las Conchas Fire in New Mexico provided the motivation for this investigation to assess postwildfire effects on soil-hydraulic properties (SHPs) and soil-physical properties (SPPs) as a function of remotely sensed burn severity 4 years following the wildfire. A secondary purpose of this report is to illustrate a methodology to determine SHPs that analyzes infiltrometer data by using three different analysis methods. The SPPs and SHPs are measured as a function of remotely sensed burn severity by using the difference in the Normalized Burn Ratio (dNBR) metric for seven sites. The dNBR metric was used to guide field sample collection across a full spectrum of burn severities that covered the range of Monitoring Trends in Burn Severity (MTBS) and Burned Area Reflectance Classification (BARC) thematic classes from low to high severity. The SPPs (initial and saturated soil-water content, bulk density, soil-organic matter, and soil-particle size) and SHPs (field-saturated hydraulic conductivity and sorptivity) were measured under controlled laboratory conditions for soil cores collected in the field. The SHPs were estimated by using tension infiltrometer measurements and three different data analysis methods. These measurements showed large effects of burn severity, focused in the top
1 centimeter (cm) of soil, on some SPPs (bulk density, soil organic matter, and particle sizes). The threshold of these bulk density and soil organic matter effects was between 300 and 400 dNBR, which corresponds to a MTBS thematic class between moderate and high burn severity and a BARC4 thematic class of high severity. Gravel content and the content of fines in the top 1 cm of soil had a higher threshold value between 450 and 500 dNBR. Lesser effects on SPPs were observed at depths of 1–3 cm and 3–6 cm. In contrast, SHPs showed little effect from dNBR or from MTBS/BARC4 thematic class. Measurements suggested that 4 years of elapsed time after the wildfire may be sufficient for SHP recovery in this area. These measurements also indicated that SPP differences as a function of burn severity cannot be used as reliable indicators of SHP differences as a function of burn severity.
Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd NE
Albuquerque, NM 87113
Elevated levels of selenium (Se) in aqueous environments can harm aquatic life and endanger livestock and human health. Although Se occurs naturally in the rocks and soils of many alluvial aquifers, mining and agricultural activities can increase its rate of mobilization and transport to surface waters. Attention is given here to regions where nonpoint source return flows from irrigated lands carry pollutant loads to aquifers and streams, contributing to concentrations that violate regulatory and performance standards. Of particular concern is the heightened level and mobilization of Se influenced by nitrate (NO3), a harmful pollutant in its own right. We present a numerical model that simulates the reactive transport of Se and nitrogen (N) species in a coupled groundwater-surface water system. Building upon a conceptual model that incorporates the major processes affecting Se and NO3 transport in an irrigated watershed, the model links the finite-difference models MODFLOW, UZF-RT3D, and OTIS, to simulate flow and reactive transport of multiple chemical species in both the aquifer and a stream network, with mass exchange between the two. The capability of the new model is showcased by calibration, testing, and application to a 500 km2 region in Colorado’s Lower Arkansas River Valley using a rich data set gathered over a 10-yr period. Simulation of spatial and temporal distributions of Se concentration reveals conditions that exceed standards in groundwater for approximately 20% of the area. For the Arkansas River, standards are exceeded by 290%–450%. Simulation indicates that river concentrations of NO3 alone are near the current interim standard for the total of all dissolved N species. These results indicate the need for future use of the developed model to investigate the prospects for land and water best management practices to decrease pollutant levels.
Site-specific and regional analysis of time-series hydrologic and geochemical data collected from 15 monitoring wells in the Piceance Basin indicated that a leaking gas well contaminated shallow groundwater with thermogenic methane. The gas well was drilled in 1956 and plugged and abandoned in 1990. Chemical and isotopic data showed the thermogenic methane was not from mixing of gas-rich formation water with shallow groundwater or natural migration of a free-gas phase. Water-level and methane-isotopic data, and video logs from a deep monitoring well, indicated that a shale confining layer ~125 m below the zone of contamination was an effective barrier to upward migration of water and gas. The gas well, located 27 m from the contaminated monitoring well, had ~1000 m of uncemented annular space behind production casing that was the likely pathway through which deep gas migrated into the shallow aquifer. Measurements of soil gas near the gas well showed no evidence of methane emissions from the soil to the atmosphere even though methane concentrations in shallow groundwater (16 to 20 mg/L) were above air-saturation levels. Methane degassing from the water table was likely oxidized in the relatively thick unsaturated zone (~18 m), thus rendering the leak undetectable at land surface. Drilling and plugging records for oil and gas wells in Colorado and proxies for depth to groundwater indicated thousands of oil and gas wells were drilled and plugged in the same timeframe as the implicated gas well, and the majority of those wells were in areas with relatively large depths to groundwater. This study represents one of the few detailed subsurface investigations of methane leakage from a plugged and abandoned gas well. As such, it could provide a useful template for prioritizing and assessing potentially leaking wells, particularly in cases where the leakage does not manifest itself at land surface.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.03.371","usgsCitation":"McMahon, P.B., Thomas, J.C., Crawford, J.T., Dornblaser, M.M., and Hunt, A.G., 2018, Methane in groundwater from a leaking gas well, Piceance Basin, Colorado, USA: Science of the Total Environment, v. 634, p. 791-801, https://doi.org/10.1016/j.scitotenv.2018.03.371.","productDescription":"11 p.","startPage":"791","endPage":"801","ipdsId":"IP-093525","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":353286,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Piceance Basin","volume":"634","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6e5e4b0da30c1bfbef0","contributors":{"authors":[{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":733008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Judith C. 0000-0001-7883-1419 juthomas@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-1419","contributorId":1468,"corporation":false,"usgs":true,"family":"Thomas","given":"Judith","email":"juthomas@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":733019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crawford, John T. 0000-0003-4440-6945 jtcrawford@usgs.gov","orcid":"https://orcid.org/0000-0003-4440-6945","contributorId":4081,"corporation":false,"usgs":true,"family":"Crawford","given":"John","email":"jtcrawford@usgs.gov","middleInitial":"T.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":733020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dornblaser, Mark M. 0000-0002-6298-3757 mmdornbl@usgs.gov","orcid":"https://orcid.org/0000-0002-6298-3757","contributorId":1636,"corporation":false,"usgs":true,"family":"Dornblaser","given":"Mark","email":"mmdornbl@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":733021,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":733022,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196448,"text":"70196448 - 2018 - A science products inventory for citizen-science planning and evaluation","interactions":[],"lastModifiedDate":"2018-05-29T13:31:30","indexId":"70196448","displayToPublicDate":"2018-04-09T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"A science products inventory for citizen-science planning and evaluation","docAbstract":"Citizen science involves a range of practices involving public participation in scientific knowledge production, but outcomes evaluation is complicated by the diversity of the goals and forms of citizen science. Publications and citations are not adequate metrics to describe citizen-science productivity. We address this gap by contributing a science products inventory (SPI) tool, iteratively developed through an expert panel and case studies, intended to support general-purpose planning and evaluation of citizen-science projects with respect to science productivity. The SPI includes a collection of items for tracking the production of science outputs and data practices, which are described and illustrated with examples. Several opportunities for further development of the initial inventory are highlighted, as well as potential for using the inventory as a tool to guide project management, funding, and research on citizen science.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/bioscience/biy028","usgsCitation":"Wiggins, A., Bonney, R., LeBuhn, G., Parrish, J.K., and Weltzin, J., 2018, A science products inventory for citizen-science planning and evaluation: BioScience, v. 68, no. 6, p. 436-444, https://doi.org/10.1093/bioscience/biy028.","productDescription":"9 p.","startPage":"436","endPage":"444","ipdsId":"IP-091783","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":468840,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/bioscience/biy028","text":"Publisher Index Page"},{"id":353256,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"68","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-05","publicationStatus":"PW","scienceBaseUri":"5afee6e5e4b0da30c1bfbf04","contributors":{"authors":[{"text":"Wiggins, Andrea","contributorId":149661,"corporation":false,"usgs":false,"family":"Wiggins","given":"Andrea","email":"","affiliations":[{"id":17774,"text":"U New Mexico","active":true,"usgs":false}],"preferred":false,"id":732938,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonney, Rick","contributorId":112611,"corporation":false,"usgs":false,"family":"Bonney","given":"Rick","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":732939,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LeBuhn, Gretchen","contributorId":204015,"corporation":false,"usgs":false,"family":"LeBuhn","given":"Gretchen","email":"","affiliations":[{"id":36798,"text":"San Francisco State University, Department of Biology","active":true,"usgs":false}],"preferred":false,"id":732940,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parrish, Julia K.","contributorId":47270,"corporation":false,"usgs":true,"family":"Parrish","given":"Julia","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":732941,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weltzin, Jake 0000-0001-8641-6645 jweltzin@usgs.gov","orcid":"https://orcid.org/0000-0001-8641-6645","contributorId":196323,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake","email":"jweltzin@usgs.gov","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"preferred":true,"id":732937,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70249435,"text":"70249435 - 2018 - Rainfall over the African continent from the 19th through the 21st century","interactions":[],"lastModifiedDate":"2023-10-10T14:30:40.689814","indexId":"70249435","displayToPublicDate":"2018-04-06T09:22:04","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1844,"text":"Global and Planetary Change","active":true,"publicationSubtype":{"id":10}},"title":"Rainfall over the African continent from the 19th through the 21st century","docAbstract":"Most of the African continent is semi-arid and hence prone to extreme variations in rainfall from year to year. The extreme droughts that have plagued the Sahel and eastern Africa are particularly well known. This article uses a markedly expanded and updated rainfall data set to examine rainfall variability in 13 sectors that cover most of the continent. Annual rainfall is presented for each sector; the March-to-May and October–November seasons are also examined for equatorial sectors. In each case, the article includes the longest and most comprehensive precipitation gauge series ever published. All time series cover at least a century and most cover roughly one and one-half centuries or more.
Although towards the end of the 20th century there was a widespread trend towards more arid conditions, few significant trends are evident over the entire period of record. The largest were downward trends in the Sahel and western sectors of North Africa. In those regions, an abrupt reduction in rainfall occurred around 1968, but a synchronous change occurred many other parts of Africa. A recovery did occur in the Sahel, but to varying degrees across the east-west expanse of the region. Noteworthy is that the west-to-east rainfall gradient across the region appears to have weakened in recent decades. For the continent as a whole, another change began in the 1980s decade, with more arid conditions persisting at the continental scale until early in the twenty-first century. No other such period of dry conditions occurred within the roughly one and one-half centuries evaluated here. A notable change also occurred at the seasonal level. During the period 1980 to 1998 rainfall during March-to-May was well below the long-term mean throughout most of the area from 20° N to 35° S. At the same time rainfall was above the long-term mean in most of eastern sectors within this latitude span, indicating a change in the seasonality of rainfall of a large part of Africa.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gloplacha.2017.12.014","usgsCitation":"Nicholson, S.E., Funk, C., and Fink, A.H., 2018, Rainfall over the African continent from the 19th through the 21st century: Global and Planetary Change, v. 165, p. 114-127, https://doi.org/10.1016/j.gloplacha.2017.12.014.","productDescription":"14 p.","startPage":"114","endPage":"127","ipdsId":"IP-086867","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":468842,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gloplacha.2017.12.014","text":"Publisher Index Page"},{"id":421818,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Africa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 47.400984839430265,\n -24.490685634036524\n ],\n [\n 49.61476671890509,\n -17.971603024792273\n ],\n [\n 50.483597546335886,\n -15.345618456236153\n ],\n [\n 49.32899958824191,\n -11.729648207446218\n ],\n [\n 47.52600146614816,\n -14.019149320759865\n ],\n [\n 44.28458796900736,\n -16.406296940002946\n ],\n [\n 43.68332660288252,\n -17.683814597076733\n ],\n [\n 44.35384067562734,\n -19.917557605867103\n ],\n [\n 43.17519682859427,\n -21.883472184646365\n ],\n [\n 43.06598770753044,\n -23.43633829941743\n ],\n [\n 43.92547107458108,\n -25.42453672347925\n ],\n [\n 45.62054790406731,\n -25.965106231149775\n ],\n [\n 47.58379216382943,\n -24.82229896059502\n ],\n [\n 47.400984839430265,\n -24.490685634036524\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 18.761652787707533,\n -35.239184221599906\n ],\n [\n 28.830831823369834,\n -34.26641863724311\n ],\n [\n 33.50203692299016,\n -26.872973650272833\n ],\n [\n 35.43269360892464,\n -24.55758324224415\n ],\n [\n 35.6768714948125,\n -20.384780982062267\n ],\n [\n 41.23756627979782,\n -15.55140666616775\n ],\n [\n 39.42657030996199,\n -5.845595975943027\n ],\n [\n 50.900946756797765,\n 7.1265976347424385\n ],\n [\n 51.66182365695079,\n 12.479925364622801\n ],\n [\n 43.86261991439463,\n 10.567692556000424\n ],\n [\n 42.80337640195569,\n 12.956707730990061\n ],\n [\n 39.791162085420126,\n 16.242753307523202\n ],\n [\n 35.95212388833164,\n 23.39373358469028\n ],\n [\n 32.88330365753788,\n 29.433579710177682\n ],\n [\n 32.05531200438898,\n 31.9029534379044\n ],\n [\n 28.976951469780772,\n 30.8807861375861\n ],\n [\n 20.417954419061374,\n 32.9623195660582\n ],\n [\n 19.080995864231284,\n 30.574233520231545\n ],\n [\n 13.940977067847598,\n 32.90411040114151\n ],\n [\n 11.782279777988776,\n 33.722219878542674\n ],\n [\n 11.11033090302979,\n 37.58436969793439\n ],\n [\n 5.1377950676187965,\n 37.51021601235211\n ],\n [\n -0.8609530765075419,\n 36.32880040037013\n ],\n [\n -6.22039413288843,\n 35.65313685310477\n ],\n [\n -11.476283481422627,\n 31.769579098447153\n ],\n [\n -16.525694569436837,\n 24.040201913546156\n ],\n [\n -19.082423922282317,\n 14.176971946566809\n ],\n [\n -13.411454234809042,\n 8.406411158190636\n ],\n [\n -10.690271699023072,\n 5.4750128382613354\n ],\n [\n -7.446773571136163,\n 3.7477761546431765\n ],\n [\n 0.6845158743037985,\n 5.382680141819179\n ],\n [\n 4.852962616824584,\n 5.590222516312977\n ],\n [\n 5.8531940526496555,\n 4.000195098668627\n ],\n [\n 7.956241853470203,\n 4.146854056367388\n ],\n [\n 8.276156416975823,\n -1.1137521549434979\n ],\n [\n 11.305876210393649,\n -4.986524303402675\n ],\n [\n 12.850211769567977,\n -11.369836615168069\n ],\n [\n 10.795721725395907,\n -17.481884962351515\n ],\n [\n 13.141508231550631,\n -22.05918956148217\n ],\n [\n 14.837436547040625,\n -28.344379180607\n ],\n [\n 18.761652787707533,\n -35.239184221599906\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"165","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nicholson, Sharon E.","contributorId":192112,"corporation":false,"usgs":false,"family":"Nicholson","given":"Sharon","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":885611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":885612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fink, Andreas H. 0000-0002-5840-2120","orcid":"https://orcid.org/0000-0002-5840-2120","contributorId":330680,"corporation":false,"usgs":false,"family":"Fink","given":"Andreas","email":"","middleInitial":"H.","affiliations":[{"id":78964,"text":"University of Cologne: Cologne, Germany","active":true,"usgs":false}],"preferred":false,"id":885613,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70196447,"text":"70196447 - 2018 - MoisturEC: a new R program for moisture content estimation from electrical conductivity data","interactions":[],"lastModifiedDate":"2018-09-10T11:40:56","indexId":"70196447","displayToPublicDate":"2018-04-06T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"MoisturEC: a new R program for moisture content estimation from electrical conductivity data","docAbstract":"Noninvasive geophysical estimation of soil moisture has potential to improve understanding of flow in the unsaturated zone for problems involving agricultural management, aquifer recharge, and optimization of landfill design and operations. In principle, several geophysical techniques (e.g., electrical resistivity, electromagnetic induction, and nuclear magnetic resonance) offer insight into soil moisture, but data‐analysis tools are needed to “translate” geophysical results into estimates of soil moisture, consistent with (1) the uncertainty of this translation and (2) direct measurements of moisture. Although geostatistical frameworks exist for this purpose, straightforward and user‐friendly tools are required to fully capitalize on the potential of geophysical information for soil‐moisture estimation. Here, we present MoisturEC, a simple R program with a graphical user interface to convert measurements or images of electrical conductivity (EC) to soil moisture. Input includes EC values, point moisture estimates, and definition of either Archie parameters (based on experimental or literature values) or empirical data of moisture vs. EC. The program produces two‐ and three‐dimensional images of moisture based on available EC and direct measurements of moisture, interpolating between measurement locations using a Tikhonov regularization approach.
","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12650","usgsCitation":"Terry, N., Day-Lewis, F.D., Werkema, D.D., and Lane, J.W., 2018, MoisturEC: a new R program for moisture content estimation from electrical conductivity data: Groundwater, v. 56, no. 5, p. 823-831, https://doi.org/10.1111/gwat.12650.","productDescription":"9 p.","startPage":"823","endPage":"831","ipdsId":"IP-093542","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"links":[{"id":468844,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8920296","text":"External Repository"},{"id":437956,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7862FC7","text":"USGS data release","linkHelpText":"MoisturEC"},{"id":353241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-31","publicationStatus":"PW","scienceBaseUri":"5afee6e6e4b0da30c1bfbf08","contributors":{"authors":[{"text":"Terry, Neil 0000-0002-3965-340X nterry@usgs.gov","orcid":"https://orcid.org/0000-0002-3965-340X","contributorId":192554,"corporation":false,"usgs":true,"family":"Terry","given":"Neil","email":"nterry@usgs.gov","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":732933,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":732934,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Werkema, Dale D.","contributorId":190401,"corporation":false,"usgs":false,"family":"Werkema","given":"Dale","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":732935,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":732936,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196441,"text":"70196441 - 2018 - Movements and landscape use of Eastern Imperial Eagles Aquila heliaca in Central Asia","interactions":[],"lastModifiedDate":"2018-08-10T13:42:21","indexId":"70196441","displayToPublicDate":"2018-04-06T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1052,"text":"Bird Study","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Movements and landscape use of Eastern Imperial Eagles Aquila heliaca in Central Asia","title":"Movements and landscape use of Eastern Imperial Eagles Aquila heliaca in Central Asia","docAbstract":"Capsule: We describe ecological factors associated with movements of a globally declining raptor species, the Eastern Imperial Eagle Aquila heliaca.
Aims: To describe the movements, habitat associations and resource selection of Eastern Imperial Eagles marked in Central Asia.
Methods: We used global positioning system (GPS) data sent via satellite telemetry devices deployed on Eastern Imperial Eagles captured in Kazakhstan to calculate distances travelled and to associate habitat and weather variables with eagle locations collected throughout the annual cycle. We also used resource selection models to evaluate habitat use of tracked birds during autumn migration. Separately, we used wing-tagging recovery data to broaden our understanding of wintering locations of eagles.
Results: Eagles tagged in Kazakhstan wintered in most countries on the Arabian Peninsula, as well as Iran and India. The adult eagle we tracked travelled more efficiently than did the four pre-adults. During autumn migration, telemetered eagles used a mixture of vegetation types, but during winter and summer, they primarily used bare and sparsely vegetated areas. Finally, telemetered birds used orographic updrafts to subsidize their autumn migration flight, but they relied on thermal updrafts during spring migration.
Conclusion: Our study is the first to use GPS telemetry to describe year-round movements and habitat associations of Eastern Imperial Eagles in Central Asia. Our findings provide insight into the ecology of this vulnerable raptor species that can contribute to conservation efforts on its behalf.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00063657.2018.1447907","usgsCitation":"Poessel, S.A., Bragin, E.A., Sharpe, P.B., Garcelon, D.K., Bartoszuk, K., and Katzner, T., 2018, Movements and landscape use of Eastern Imperial Eagles Aquila heliaca in Central Asia: Bird Study, v. 65, no. 2, p. 208-218, https://doi.org/10.1080/00063657.2018.1447907.","productDescription":"11 p.","startPage":"208","endPage":"218","ipdsId":"IP-090963","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":353242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"65","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-04","publicationStatus":"PW","scienceBaseUri":"5afee6e6e4b0da30c1bfbf0a","contributors":{"authors":[{"text":"Poessel, Sharon A. 0000-0002-0283-627X spoessel@usgs.gov","orcid":"https://orcid.org/0000-0002-0283-627X","contributorId":168465,"corporation":false,"usgs":true,"family":"Poessel","given":"Sharon","email":"spoessel@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":732919,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bragin, Evgeny A.","contributorId":194894,"corporation":false,"usgs":false,"family":"Bragin","given":"Evgeny","email":"","middleInitial":"A.","affiliations":[{"id":35656,"text":"Science Department, Naurzum National Nature Reserve, Kostanay Oblast, Naurzumski Raijon, Karamendy, Kazakhstan","active":true,"usgs":false}],"preferred":false,"id":732920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharpe, Peter B.","contributorId":204011,"corporation":false,"usgs":false,"family":"Sharpe","given":"Peter","email":"","middleInitial":"B.","affiliations":[{"id":36796,"text":"Institute for Wildlife Studies, Arcata, CA, USA","active":true,"usgs":false}],"preferred":false,"id":732921,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcelon, David K.","contributorId":204012,"corporation":false,"usgs":false,"family":"Garcelon","given":"David","email":"","middleInitial":"K.","affiliations":[{"id":36796,"text":"Institute for Wildlife Studies, Arcata, CA, USA","active":true,"usgs":false}],"preferred":false,"id":732922,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bartoszuk, Kordian","contributorId":204013,"corporation":false,"usgs":false,"family":"Bartoszuk","given":"Kordian","email":"","affiliations":[{"id":36797,"text":"Aquila, Grzędy 2, 19-206 Rajgrod, Poland","active":true,"usgs":false}],"preferred":false,"id":732923,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":5979,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":732924,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}