Accurate and timely information on the distribution of irrigated croplands is crucial to research on agriculture, water availability, land use, and climate change. While agricultural land use has been well characterized, less attention has been paid specifically to croplands that are irrigated, in part due to the difficulty in mapping and distinguishing irrigation in satellite imagery. In this study, we developed a semi-automatic training approach to rapidly map irrigated croplands across the conterminous United States (CONUS) at 30 m resolution using Google Earth Engine. To resolve the issue of lacking nationwide training data, we generated two intermediate irrigation maps by segmenting Landsat-derived annual maximum greenness and enhanced vegetation index using county-level thresholds calibrated from an existing coarse resolution irrigation map. The resulting intermediate maps were then spatially filtered to provide a training data pool for most areas except for the upper midwestern states where we visually collected samples. We then used random samples extracted from the training pool along with remote sensing-derived features and climate variables to train ecoregion-stratified random forest classifiers for pixel-level classification. For ecoregions with a large training pool, the procedure of sample extraction, classifier training, and classification was conducted 10 times to obtain stable classification results. The resulting 2012 Landsat-based irrigation dataset (LANID) identified 23.3 million hectares of irrigated croplands in CONUS. A quantitative assessment of LANID showed superior accuracy to currently available maps, with a mean Kappa value of 0.88 (0.75–0.99), overall accuracy of 94% (87.5–99%), and producer’s and user’s accuracy of the irrigation class of 97.3% and 90.5%, respectively, at the aquifer level. Evaluation of feature importance indicated that Landsat-derived features played the primary role in classification in relatively arid regions while climate variables were important in the more humid eastern states. This methodology has the potential to produce annual irrigation maps for CONUS and provide insights into the field-level spatial and temporal aspects of irrigation.
The hydrothermal systems associated with the restless high-threat volcanoes at Lassen and Long Valley, California, each release large amounts of arsenic (As) to surface waters – ~6 and ~8 metric tons/yr, respectively. The hydrothermal As output can increase during volcanic unrest, as illustrated by a two-fold increase during unrest at Lassen in 2014–15. During that period of unrest, increased As concentrations and fluxes were measured up to 75 km downstream from the Lassen source, in Mill Creek near the confluence with the Sacramento River. In eastern California, the Long Valley hydrothermal system feeds into the Los Angeles Aqueduct (LAA), and the Los Angeles Department of Water and Power (LADWP) actively manages the LAA system to remove hydrothermal As. In 1980, during a series of ~Mw6 earthquakes, the discharge of a particular group of hydrothermal vents in Long Valley increased approximately 7-fold, though the total increase in As flux to the LAA system at that time is unknown. The likely mechanism for increased hydrothermal discharge in each case is permeability enhancement due to strong ground motion. A review of the global literature on earthquake hydrology suggests a worst-case scenario of a roughly 10-fold increase in permeability, with commensurate increase in the hydrothermal As flux persisting for days to months. Here we evaluate the potential impact of such increases in hydrothermal As flux on the California water-supply system.
The U.S. Geological Survey (USGS) quantitatively assessed the potential for undiscovered, technically recoverable continuous oil and gas resources in the Eastern Great Basin Province (Anna and others, 2007) of Nevada, Utah, and Idaho (fig. 1). The assessment focused on the area of the province between the Roberts Mountains and Sevier thrust systems (Peterson, 1994). The major petroleum source rocks within this area are the Upper Devonian–Lower Mississippian Pilot Shale and the Mississippian Chainman Formation (Gutschick and Rodriquez, 1979; Poole and Claypool, 1984; Giles, 1994; Trexler and others, 1995). The geologic model applied to the Pilot Shale and shales in the Chainman Formation is for these shales to have achieved generative maturity for oil by burial to at least 8,700 feet (2,652 meters) within some of the Neogene extensional basins (Grabb, 1994; Anna and others, 2007). Areas that satisfy this depth requirement were defined using modeled gravity data that were calibrated to the petroleum system in Railroad Valley and Pine Valley in Nevada (Barker and Peterson, 1991; Ïnan and Davis, 1994; Meissner, 1995; Anna and others, 2007).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193002","usgsCitation":"Schenk, C.J., Mercier, T.J., Woodall, C.A., Finn, T.M., Gaswirth, S.B., Marra, K.R., Le, P.A., Brownfield, M.E., Leathers-Miller, H.M., Drake, R.M., II, and Kinney, S.A., 2019, Assessment of continuous oil resources in the Eastern Great Basin Province of Nevada, Utah, and Idaho, 2018: U.S. Geological Survey Fact Sheet 2019–3002, 2 p., https://doi.org/10.3133/fs20193002.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-101431","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":365379,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3002/coverthb.jpg"},{"id":365364,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3002/fs20193002.pdf","text":"Report","size":"660 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3002"}],"country":"United States","state":"Idaho, Nevada, Utah","otherGeospatial":"Eastern Great Basin Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.02636718749999,\n 42.00032514831621\n ],\n [\n -117.0703125,\n 36.77409249464195\n ],\n [\n -114.60937499999999,\n 34.994003757575776\n ],\n [\n -114.697265625,\n 36.10237644873644\n ],\n [\n -114.62585449218749,\n 36.14231087352999\n ],\n [\n -114.47753906249999,\n 36.146746777814364\n ],\n [\n -114.3731689453125,\n 36.13343831245866\n ],\n [\n -114.2303466796875,\n 36.01800375871416\n ],\n [\n -114.1204833984375,\n 36.04021586880111\n ],\n [\n -111.22558593749999,\n 40.94671366508002\n ],\n [\n -111.939697265625,\n 41.261291493919884\n ],\n [\n -111.76391601562499,\n 41.541477666790286\n ],\n [\n -111.456298828125,\n 42.73894375124377\n ],\n [\n -111.412353515625,\n 43.14909399920127\n ],\n [\n -112.8076171875,\n 43.15710884095329\n ],\n [\n -114.06005859375,\n 41.983994270935625\n ],\n [\n -117.02636718749999,\n 42.00032514831621\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
This publication consists of three map sheets that display shallow geologic structure, along with sediment distribution and thickness, for an about 225-km-long offshore section of the central California coast between Point Sur and Point Arguello. Each map sheet includes three maps, at scales of either 1:150,000 or 1:200,000, as well as a set of figures that contain representative high-resolution seismic-reflection profiles. The maps and seismic-reflection surveys cover most of the continental shelf in this region. In addition, the maps show the locations of the shelf break and the 3-nautical-mile limit of California’s State Waters.
The seismic-reflection data, which are the primary dataset used to develop the maps, were collected to support the California Seafloor Mapping Program and U.S. Geological Survey Offshore Geologic Hazards projects. In addition to the three map sheets, this publication includes geographic information system data files of interpreted faults, folds, sediment thicknesses, and depths-to-base of sediment. The faults and folds shown on the maps have been locally simplified as appropriate for the map scales.
The right-lateral San Gregorio–Hosgri Fault (SGHF) is the most significant structure in the map area. On a regional scale, the SGHF is part of a 400-km-long, right-lateral fault system that extends northwestward from Point Arguello to the area offshore of San Francisco, where it merges with the San Andreas Fault. From north to south in this part of central California, the SGHF lies offshore between the south flank of Point Sur and the north flank of Point Piedras Blancas, then comes onshore at Point Piedras Blancas, before heading offshore again between the south flank of Point Piedras Blancas and Point Arguello. Cumulative fault offset along the SGHF is as much as 150 to 160 km, decreasing to the south by transferring slip on to northwest-striking faults that converge with the SGHF both onland and offshore from the east. In the map area, the offshore-converging faults include the Los Osos Fault, the Shoreline–Point Buchon Fault, the Casmalia Fault, and the Lions Head Fault.
Quaternary sediments and bedrock underlie the shelf. On the seismic-reflection profiles, we divide Quaternary shelf sediments into two units. Characterizing the younger, upper unit is a focus of this publication. This unit is inferred to have been deposited on the shelf in the last about 21,000 years during the sea-level rise that followed the last major lowstand and the Last Glacial Maximum (LGM). This upper unit overlies a transgressive surface of erosion, a commonly angular, wave-cut unconformity, and is generally characterized by low-amplitude, continuous to moderately continuous, diffuse, subparallel, generally flat reflections. Maps in this publication show both the thickness of this upper sediment unit and the depth to the base of the sediment unit. Within the map region, 11 different “domains” of post-LGM shelf sediment are delineated on the basis of sediment thickness and coastal geomorphology. Maximum sediment thickness is in the southern part of the region, offshore of the mouths of the Santa Ynez and Santa Maria Rivers. Minimum sediment thickness is found offshore of prominent rocky points, including Point Buchon and Piedras Blancas. Mean sediment thickness for the entire shelf in the map area between Point Sur and Point Arguello is 12.2 m, and total sediment volume is 24.7 million cubic meters.
Contact Information
Pacific Coastal & Marine Science Center
U.S. Geological Survey
Pacific Science Center
2885 Mission St.
Santa Cruz, CA 95060
Pelagic-oriented alewife (Alosa pseudoharengus) and benthic-oriented round goby (Neogobius melanostomus) are two important prey fishes in the Laurentian Great Lakes. In 2015, we evaluated their seasonal total energy (TE) across nine Lake Michigan transects. Round goby contained at least 48% more kilojoules of TE than alewife of equal length during spring and summer. TE varied spatially for both species, but only large alewife exhibited a consistent pattern, with higher values along the eastern shoreline. Variation in TE was not explained by site-specific prey densities for either species. Round goby energy density (ED) was higher in Lake Michigan than in central Lake Erie, but comparable to other regions of the Great Lakes. Alewife ED in 2015 was similar to that in 2002–2004 in Lake Michigan, with the exception of November (small alewife ED was 21% higher) and April (large alewife ED was 30% lower). Despite oligotrophication, our study suggests that starvation of juvenile and adults has not been directly contributing to overall declining prey fish abundance, although future research should evaluate the potential for overwinter starvation.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2018-0391","usgsCitation":"Bunnell, D., Pothoven, S.A., Dieter, P., Eaton, L.A., Warner, D., Elgin, A.K., Burlakova, L., and Karatayev, A.Y., 2019, Spatiotemporal variability in energetic condition of alewife and round goby in Lake Michigan: Canadian Journal of Fisheries and Aquatic Sciences, v. 76, no. 44, p. 1982-1992, https://doi.org/10.1139/cjfas-2018-0391.","productDescription":"11 p.","startPage":"1982","endPage":"1992","ipdsId":"IP-101061","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":467459,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2018-0391","text":"External Repository"},{"id":365810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.6436767578125,\n 45.69083283645816\n ],\n [\n -86.517333984375,\n 45.84410779560204\n ],\n [\n -86.50634765625,\n 45.897654534346906\n ],\n [\n -86.5338134765625,\n 45.909122123907295\n ],\n [\n -86.59423828125,\n 45.909122123907295\n ],\n [\n -86.66015624999999,\n 45.882360730184025\n ],\n [\n -86.68212890625,\n 45.87088761346192\n ],\n [\n -86.759033203125,\n 45.897654534346906\n ],\n [\n -86.802978515625,\n 45.863237552964364\n ],\n [\n -86.81396484375,\n 45.805828539928356\n ],\n [\n -86.81396484375,\n 45.77135470445038\n ],\n [\n -86.85791015625,\n 45.74069339553309\n ],\n [\n -86.9622802734375,\n 45.72152152227954\n ],\n [\n -86.956787109375,\n 45.763690956618674\n ],\n [\n -86.9732666015625,\n 45.81348649679973\n ],\n [\n -86.94580078125,\n 45.85941212790755\n ],\n [\n -86.9073486328125,\n 45.897654534346906\n ],\n [\n -86.9293212890625,\n 45.93969078234\n ],\n [\n -86.99523925781249,\n 45.932050196856295\n ],\n [\n -87.044677734375,\n 45.88618457602257\n ],\n [\n -87.07763671875,\n 45.82114340079471\n ],\n [\n -87.099609375,\n 45.775186183521036\n ],\n [\n -87.110595703125,\n 45.72535642341016\n ],\n [\n -87.264404296875,\n 45.598665689820635\n ],\n [\n -87.3797607421875,\n 45.463983441272724\n ],\n [\n -87.4072265625,\n 45.386877348270374\n ],\n [\n -87.5445556640625,\n 45.24395342262324\n ],\n [\n -87.6324462890625,\n 45.12392881616326\n ],\n [\n -87.6544189453125,\n 44.999767019181284\n ],\n [\n -87.7862548828125,\n 44.98034238084973\n ],\n [\n -87.86865234374999,\n 44.96479793033101\n ],\n [\n -87.857666015625,\n 44.902577996288876\n ],\n [\n -87.879638671875,\n 44.87533557756195\n ],\n [\n -87.91259765625,\n 44.809121700077355\n ],\n [\n -87.989501953125,\n 44.750634493861064\n ],\n [\n -88.00048828124999,\n 44.692088041727786\n ],\n [\n -88.033447265625,\n 44.62175409623324\n ],\n [\n -88.0609130859375,\n 44.55916341529182\n ],\n [\n -88.0279541015625,\n 44.52001001133986\n ],\n [\n -87.923583984375,\n 44.51609322284931\n ],\n [\n -87.8741455078125,\n 44.54742015866826\n ],\n [\n -87.835693359375,\n 44.59829048984011\n ],\n [\n -87.7972412109375,\n 44.62175409623324\n ],\n [\n -87.69287109375,\n 44.680371641890375\n ],\n [\n -87.681884765625,\n 44.73892994307368\n ],\n [\n -87.64892578125,\n 44.75453548416007\n ],\n [\n -87.5885009765625,\n 44.83249999349062\n ],\n [\n -87.4566650390625,\n 44.84029065139799\n ],\n [\n -87.3797607421875,\n 44.91813929958515\n ],\n [\n -87.3248291015625,\n 44.953136827528816\n ],\n [\n -87.29187011718749,\n 45.01918507438176\n ],\n [\n -87.2479248046875,\n 45.07739974122637\n ],\n [\n -87.23693847656249,\n 45.13555516012536\n ],\n [\n -87.1490478515625,\n 45.14717913418674\n ],\n [\n -87.099609375,\n 45.22848059584359\n ],\n [\n -87.0281982421875,\n 45.24782097102814\n ],\n [\n -87.0941162109375,\n 45.127804527473224\n ],\n [\n -87.18200683593749,\n 45.04635929200553\n ],\n [\n -87.2039794921875,\n 44.96479793033101\n ],\n [\n -87.29736328125,\n 44.824708282300236\n ],\n [\n -87.4017333984375,\n 44.70770622183535\n ],\n [\n -87.451171875,\n 44.60220174915696\n ],\n [\n -87.4951171875,\n 44.50434127765394\n ],\n [\n -87.57202148437499,\n 44.35527821160296\n ],\n [\n -87.56103515625,\n 44.268804788566165\n ],\n [\n -87.53356933593749,\n 44.209772586984485\n ],\n [\n -87.5665283203125,\n 44.17038488259618\n ],\n [\n -87.659912109375,\n 44.11914151643737\n ],\n [\n -87.703857421875,\n 44.008620115415354\n ],\n [\n -87.7532958984375,\n 43.91768033000405\n ],\n [\n -87.7642822265625,\n 43.83452678223682\n ],\n [\n -87.7587890625,\n 43.8028187190472\n ],\n [\n -87.7423095703125,\n 43.723474896114794\n ],\n [\n -87.7587890625,\n 43.67581809328341\n ],\n [\n -87.802734375,\n 43.600284023536325\n ],\n [\n -87.8521728515625,\n 43.51270490464819\n ],\n [\n -87.8741455078125,\n 43.46089378008257\n ],\n [\n -87.901611328125,\n 43.32118142926661\n ],\n [\n -87.9345703125,\n 43.229195113965005\n ],\n [\n -87.923583984375,\n 43.17313537107136\n ],\n [\n -87.923583984375,\n 43.06487470411881\n ],\n [\n -87.91259765625,\n 43.01669737169671\n ],\n [\n -87.901611328125,\n 42.94436044696629\n ],\n [\n -87.8411865234375,\n 42.84375132629021\n ],\n [\n -87.791748046875,\n 42.771211138625894\n ],\n [\n -87.8411865234375,\n 42.67031977251906\n ],\n [\n -87.8466796875,\n 42.5733097370664\n ],\n [\n -87.835693359375,\n 42.439674178149424\n ],\n [\n -87.8631591796875,\n 42.35854391749705\n ],\n [\n -87.86865234374999,\n 42.26511445833756\n ],\n [\n -87.835693359375,\n 42.167475010395336\n ],\n [\n -87.7093505859375,\n 42.0615286181226\n ],\n [\n -87.637939453125,\n 41.881831370505594\n ],\n [\n -87.6104736328125,\n 41.76721469421018\n ],\n [\n -87.51708984375,\n 41.66060124302088\n ],\n [\n -87.29736328125,\n 41.60312076451184\n ],\n [\n -87.1710205078125,\n 41.60312076451184\n ],\n [\n -87.0611572265625,\n 41.64828831259533\n ],\n [\n -86.868896484375,\n 41.72623044860004\n ],\n [\n -86.671142578125,\n 41.79179268262892\n ],\n [\n -86.572265625,\n 41.88592102814744\n ],\n [\n -86.484375,\n 42.02481360781777\n ],\n [\n -86.429443359375,\n 42.12267315117256\n ],\n [\n -86.3140869140625,\n 42.24478535602799\n ],\n [\n -86.2591552734375,\n 42.36260292171998\n ],\n [\n -86.209716796875,\n 42.508552415528634\n ],\n [\n -86.187744140625,\n 42.68647341541784\n ],\n [\n -86.187744140625,\n 42.84375132629021\n ],\n [\n -86.1822509765625,\n 42.93631775765237\n ],\n [\n -86.19873046875,\n 43.09697190802465\n ],\n [\n -86.253662109375,\n 43.137069765760344\n ],\n [\n -86.32507324218749,\n 43.257205668363206\n ],\n [\n -86.36352539062499,\n 43.35314407444698\n ],\n [\n -86.45690917968749,\n 43.51668853502906\n ],\n [\n -86.495361328125,\n 43.636075155965784\n ],\n [\n -86.4788818359375,\n 43.69965122967144\n ],\n [\n -86.4129638671875,\n 43.76712702120528\n ],\n [\n -86.385498046875,\n 43.9058083561574\n ],\n [\n -86.4404296875,\n 43.96514454266273\n ],\n [\n -86.46240234375,\n 44.05601169578525\n ],\n [\n -86.37451171875,\n 44.16250418310723\n ],\n [\n -86.28662109375,\n 44.268804788566165\n ],\n [\n -86.2261962890625,\n 44.37098696297173\n ],\n [\n -86.220703125,\n 44.41808794374846\n ],\n [\n -86.209716796875,\n 44.50042343601631\n ],\n [\n -86.1822509765625,\n 44.56307730757893\n ],\n [\n -86.209716796875,\n 44.653024159812\n ],\n [\n -86.2042236328125,\n 44.68818283842486\n ],\n [\n -86.12182617187499,\n 44.70770622183535\n ],\n [\n -86.077880859375,\n 44.727223022457416\n ],\n [\n -86.0394287109375,\n 44.78573392716592\n ],\n [\n -86.0394287109375,\n 44.84029065139799\n ],\n [\n -85.946044921875,\n 44.82860426955568\n ],\n [\n -85.8966064453125,\n 44.84418558537004\n ],\n [\n -85.89111328125,\n 44.92591837128866\n ],\n [\n -85.8746337890625,\n 44.89479576469787\n ],\n [\n -85.7427978515625,\n 44.9609111593886\n ],\n [\n -85.71533203125,\n 45.00365115687186\n ],\n [\n -85.660400390625,\n 45.058001435398275\n ],\n [\n -85.63842773437499,\n 45.11230010229608\n ],\n [\n -85.6329345703125,\n 45.02695045318546\n ],\n [\n -85.6494140625,\n 44.98811302615805\n ],\n [\n -85.6549072265625,\n 44.941473354802504\n ],\n [\n -85.6658935546875,\n 44.85586880735725\n ],\n [\n -85.6658935546875,\n 44.80132682904856\n ],\n [\n -85.6439208984375,\n 44.75453548416007\n ],\n [\n -85.5780029296875,\n 44.731125592643274\n ],\n [\n -85.5120849609375,\n 44.74673324024678\n ],\n [\n -85.4132080078125,\n 44.80522439622254\n ],\n [\n -85.3692626953125,\n 44.914249368747086\n ],\n [\n -85.3253173828125,\n 45.023067895446175\n ],\n [\n -85.3253173828125,\n 45.10454630976873\n ],\n [\n -85.3363037109375,\n 45.20139301126898\n ],\n [\n -85.2923583984375,\n 45.26715476332791\n ],\n [\n -85.1934814453125,\n 45.321254361171476\n ],\n [\n -85.1385498046875,\n 45.34056313889858\n ],\n [\n -85.10009765625,\n 45.336701909968134\n ],\n [\n -85.0341796875,\n 45.33284041773058\n ],\n [\n -84.90234375,\n 45.37530235052552\n ],\n [\n -84.83642578125,\n 45.41002023463975\n ],\n [\n -84.92431640625,\n 45.433153642271385\n ],\n [\n -85.0396728515625,\n 45.463983441272724\n ],\n [\n -85.0836181640625,\n 45.52944081525666\n ],\n [\n -85.06164550781249,\n 45.57944511437787\n ],\n [\n -85.001220703125,\n 45.625563438215984\n ],\n [\n -84.9462890625,\n 45.68315803253308\n ],\n [\n -84.8968505859375,\n 45.72535642341016\n ],\n [\n -84.7760009765625,\n 45.729191061299915\n ],\n [\n -84.72656249999999,\n 45.775186183521036\n ],\n [\n -84.72656249999999,\n 45.85558643964395\n ],\n [\n -84.78149414062499,\n 45.897654534346906\n ],\n [\n -84.825439453125,\n 45.95496879511337\n ],\n [\n -84.92431640625,\n 45.99696161820381\n ],\n [\n -85.0396728515625,\n 46.0465484463062\n ],\n [\n -85.26489257812499,\n 46.10751733820335\n ],\n [\n -85.45166015624999,\n 46.12274903582433\n ],\n [\n -85.53955078125,\n 46.10751733820335\n ],\n [\n -85.60546875,\n 46.06560846138691\n ],\n [\n -85.6549072265625,\n 45.99314540468519\n ],\n [\n -85.726318359375,\n 45.98932892799953\n ],\n [\n -85.84716796875,\n 45.98932892799953\n ],\n [\n -85.9405517578125,\n 45.97406038956237\n ],\n [\n -85.9954833984375,\n 46.0007775685566\n ],\n [\n -86.165771484375,\n 45.97406038956237\n ],\n [\n -86.28662109375,\n 45.96260622242165\n ],\n [\n -86.3525390625,\n 45.90147732739488\n ],\n [\n -86.36352539062499,\n 45.82114340079471\n ],\n [\n -86.495361328125,\n 45.79050946752472\n ],\n [\n -86.6436767578125,\n 45.69083283645816\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"76","issue":"44","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bunnell, David 0000-0003-3521-7747","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":217344,"corporation":false,"usgs":true,"family":"Bunnell","given":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":766604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pothoven, Steven A.","contributorId":92998,"corporation":false,"usgs":false,"family":"Pothoven","given":"Steven","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":766605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dieter, Patricia 0000-0003-1686-2679","orcid":"https://orcid.org/0000-0003-1686-2679","contributorId":217345,"corporation":false,"usgs":true,"family":"Dieter","given":"Patricia","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":766606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eaton, Lauren A.","contributorId":211815,"corporation":false,"usgs":false,"family":"Eaton","given":"Lauren","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":766607,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warner, David 0000-0003-4939-5368","orcid":"https://orcid.org/0000-0003-4939-5368","contributorId":217346,"corporation":false,"usgs":true,"family":"Warner","given":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":766608,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elgin, Ashley K.","contributorId":216170,"corporation":false,"usgs":false,"family":"Elgin","given":"Ashley","email":"","middleInitial":"K.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":766609,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Burlakova, Lyuba E.","contributorId":217347,"corporation":false,"usgs":false,"family":"Burlakova","given":"Lyuba E.","affiliations":[{"id":35093,"text":"Buffalo State University","active":true,"usgs":false}],"preferred":false,"id":766610,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Karatayev, Alexander Y.","contributorId":150923,"corporation":false,"usgs":false,"family":"Karatayev","given":"Alexander","email":"","middleInitial":"Y.","affiliations":[{"id":18141,"text":"SUNY Buffalo State","active":true,"usgs":false}],"preferred":false,"id":766611,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70205024,"text":"70205024 - 2019 - Thermotectonic history of the Kluane Ranges and evolution of the eastern Denali Fault Zone in southwestern Yukon, Canada","interactions":[],"lastModifiedDate":"2019-10-09T09:54:57","indexId":"70205024","displayToPublicDate":"2019-07-12T12:58:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Thermotectonic history of the Kluane Ranges and evolution of the eastern Denali Fault Zone in southwestern Yukon, Canada","docAbstract":"Exhumation and landscape evolution along strike‐slip fault systems reflect tectonic processes that accommodate and partition deformation in orogenic settings. We present 17 new apatite (U‐Th)/He (He), zircon He, apatite fission‐track (FT), and zircon FT dates from the eastern Denali fault zone (EDFZ) that bounds the Kluane Ranges in Yukon, Canada. The dates elucidate patterns of deformation along the EDFZ. Mean apatite He, apatite FT, zircon He, and zircon FT sample dates range within ~26–4, ~110–12, ~94–28, and ~137–83 Ma, respectively. A new zircon U‐Pb date of 113.9 ± 1.7 Ma (2σ) complements existing geochronology and aids in interpretation of low‐temperature thermochronometry data patterns. Samples ≤2 km southwest of the EDFZ trace yield the youngest thermochronometry dates. Multimethod thermochronometry, zircon He date‐effective U patterns, and thermal history modeling reveal rapid cooling ~95–75 Ma, slow cooling ~75–30 Ma, and renewed rapid cooling ~30 Ma to present. The magnitude of net surface uplift constrained by published paleobotanical data, exhumation, and total surface uplift from ~30 Ma to present are ~1, ~2–6, and ~1–7 km, respectively. Exhumation is highest closest to the EDFZ trace but substantially lower than reported for the central Denali fault zone. We infer exhumation and elevation changes associated with ~95–75 Ma terrane accretion and EDFZ activity, relief degradation from ~75–30 Ma, and ~30 Ma to present exhumation and surface uplift as a response to flat‐slab subduction and transpressional deformation. Integrated results reveal new constraints on landscape evolution within the Kluane Ranges directly tied to the EDFZ during the last ~100 Myr.
","language":"English","publisher":"Wiley","doi":"10.1029/2019TC005545","usgsCitation":"McDermott, R.G., Ault, A.K., Caine, J.S., and Thomson, S.N., 2019, Thermotectonic history of the Kluane Ranges and evolution of the eastern Denali Fault Zone in southwestern Yukon, Canada: Tectonics, v. 38, no. 8, p. 2983-3010, https://doi.org/10.1029/2019TC005545.","productDescription":"28 p.","startPage":"2983","endPage":"3010","ipdsId":"IP-105959","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":467460,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019tc005545","text":"Publisher Index Page"},{"id":367017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Yukon","otherGeospatial":"Denali Fault","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.390625,\n 58.56252272853734\n ],\n [\n -135.17578125,\n 58.56252272853734\n ],\n [\n -135.17578125,\n 64.28275952823394\n ],\n [\n -155.390625,\n 64.28275952823394\n ],\n [\n -155.390625,\n 58.56252272853734\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"38","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"McDermott, Robert G. 0000-0002-2550-0322","orcid":"https://orcid.org/0000-0002-2550-0322","contributorId":218595,"corporation":false,"usgs":false,"family":"McDermott","given":"Robert","email":"","middleInitial":"G.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":769611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ault, Alexis K. 0000-0001-6361-3179","orcid":"https://orcid.org/0000-0001-6361-3179","contributorId":218596,"corporation":false,"usgs":false,"family":"Ault","given":"Alexis","email":"","middleInitial":"K.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":769612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caine, Jonathan S. 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":1272,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan","email":"jscaine@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":769610,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomson, Stuart N. 0000-0003-4331-5654","orcid":"https://orcid.org/0000-0003-4331-5654","contributorId":218597,"corporation":false,"usgs":false,"family":"Thomson","given":"Stuart","email":"","middleInitial":"N.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":769613,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70205287,"text":"70205287 - 2019 - Coexisting discrete bodies of rhyolite and punctuated volcanism characterize Yellowstone's post‐Lava Creek Tuff caldera evolution","interactions":[],"lastModifiedDate":"2019-10-09T10:03:02","indexId":"70205287","displayToPublicDate":"2019-07-11T10:09:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Coexisting discrete bodies of rhyolite and punctuated volcanism characterize Yellowstone's post‐Lava Creek Tuff caldera evolution","docAbstract":"Ion‐microprobe 206Pb/238U geochronology and trace element geochemistry of the unpolished rims and sectioned interiors of zircons from Yellowstone caldera's oldest post‐caldera lavas provide insight into the magmatic system during the prelude and aftermath of the caldera‐forming Lava Creek supereruption. The post‐caldera lavas compose the Upper Basin Member of the Plateau Rhyolite and fall into two groups based on zircon crystallization age: early lavas with zircon ages between ~750 and 550 ka and late lavas with zircon ages between ~350 and 250 ka. Zircons from the early‐erupted East Biscuit Basin flow yield U‐Pb dates and trace element compositions, which when considered with the Pb isotopic compositions of their coexisting feldspars and pyroxenes, point to an isotopically distinct parental melt present during crystallization of the Lava Creek magma but untapped by the supereruption. Distinct zircon crystallization ages and Pb‐isotope compositions of major minerals between the early and late Upper Basin Member groups suggest contrasting sources in the magma reservoir. As proxies for melt evolution, the zircons indicate that Yellowstone's post‐caldera rhyolites became more evolved between mid‐ to late‐Pleistocene time, during the same interval that melting of hydrothermally altered wall rock and recharge by new silicic magmas changed in their relative roles. The results from this study indicate that discrete and ephemeral bodies of silicic magma, at times within a mush dominated reservoir and including during the prelude to the Lava Creek eruption, have characterized Yellowstone's subvolcanic reservoir.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GC008321","usgsCitation":"Till, C.B., Vazquez, J.A., Stelten, M.E., Shamloo, H.I., and Shaffer, J.S., 2019, Coexisting discrete bodies of rhyolite and punctuated volcanism characterize Yellowstone's post‐Lava Creek Tuff caldera evolution: Geochemistry, Geophysics, Geosystems, v. 20, no. 8, p. 3861-3881, https://doi.org/10.1029/2019GC008321.","productDescription":"21 p.","startPage":"3861","endPage":"3881","ipdsId":"IP-106517","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467464,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019gc008321","text":"Publisher Index Page"},{"id":367384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone Caldera","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.95367431640624,\n 44.42789587633427\n ],\n [\n -110.27526855468749,\n 44.42789587633427\n ],\n [\n -110.27526855468749,\n 44.735027899515465\n ],\n [\n -110.95367431640624,\n 44.735027899515465\n ],\n [\n -110.95367431640624,\n 44.42789587633427\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Till, Christy B","contributorId":218941,"corporation":false,"usgs":false,"family":"Till","given":"Christy","email":"","middleInitial":"B","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":770739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":770738,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stelten, Mark E. 0000-0002-5294-3161 mstelten@usgs.gov","orcid":"https://orcid.org/0000-0002-5294-3161","contributorId":145923,"corporation":false,"usgs":true,"family":"Stelten","given":"Mark","email":"mstelten@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":770740,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shamloo, Hannah I","contributorId":218943,"corporation":false,"usgs":false,"family":"Shamloo","given":"Hannah","email":"","middleInitial":"I","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":770741,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shaffer, Jamie S","contributorId":218944,"corporation":false,"usgs":false,"family":"Shaffer","given":"Jamie","email":"","middleInitial":"S","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":770742,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70208764,"text":"70208764 - 2019 - Inorganic nitrogen wet deposition gradients in the Denver-Boulder metropolitan area and Colorado Front Range – Preliminary implications for Rocky Mountain National Park and interpolated deposition maps","interactions":[],"lastModifiedDate":"2020-02-28T06:27:22","indexId":"70208764","displayToPublicDate":"2019-07-03T06:23:56","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Inorganic nitrogen wet deposition gradients in the Denver-Boulder metropolitan area and Colorado Front Range – Preliminary implications for Rocky Mountain National Park and interpolated deposition maps","docAbstract":"For the first time in the 40-year history of the National Atmospheric Deposition Program / National Trends Network (NADP/NTN), a unique urban-to-rural transect of wet deposition monitoring stations were operated as part of the NTN in 2017 to quantify reactive inorganic nitrogen wet deposition for adjacent urban and rural, montane regions. The transect of NADP stations (sites) was used to collect continuous precipitation depth and weekly wet-deposition samples in the Denver – Boulder, Colorado urban corridor. Gradients in reactive inorganic nitrogen (Nr) concentrations and wet deposition were identified along the transect, which included Rocky Mountain National Park. Back trajectory modeling and stable isotopes suggested contribution of agricultural ammonia (NH3) to urban Nr wet deposition in Denver, but apportionment of wet-deposited Nr to agricultural versus urban mobile sources was not possible for this study. The results demonstrate the importance of multiple monitoring sites across an urban area in defining fine-scale geographic patterns in atmospheric deposition and its sources. Data from new sites located within 50 km of the urban area demonstrate that the urban influence doesn't extend as far as the Inverse Distance Weighting would have suggested without such empirical monitoring data. It is important to determine the radius of influence of urban emissions and associated deposition on the interpolated deposition raster, which is constrained by a paucity of monitoring sites east of Denver.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.06.528","usgsCitation":"Wetherbee, G.A., Benedict, K., Murphy, S.F., and Elliott, E., 2019, Inorganic nitrogen wet deposition gradients in the Denver-Boulder metropolitan area and Colorado Front Range – Preliminary implications for Rocky Mountain National Park and interpolated deposition maps: Science of the Total Environment, v. 691, p. 1027-1042, https://doi.org/10.1016/j.scitotenv.2019.06.528.","productDescription":"16 p.","startPage":"1027","endPage":"1042","ipdsId":"IP-106670","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":467485,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2019.06.528","text":"Publisher Index Page"},{"id":372717,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Rocky Mountain National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.91644287109374,\n 40.12429084831405\n ],\n [\n -105.46875,\n 40.12429084831405\n ],\n [\n -105.46875,\n 40.51171103483292\n ],\n [\n -105.91644287109374,\n 40.51171103483292\n ],\n [\n -105.91644287109374,\n 40.12429084831405\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"691","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wetherbee, Gregory A. 0000-0002-6720-2294 wetherbe@usgs.gov","orcid":"https://orcid.org/0000-0002-6720-2294","contributorId":1044,"corporation":false,"usgs":true,"family":"Wetherbee","given":"Gregory","email":"wetherbe@usgs.gov","middleInitial":"A.","affiliations":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"preferred":true,"id":783317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benedict, Katherine","contributorId":222839,"corporation":false,"usgs":false,"family":"Benedict","given":"Katherine","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":783318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":783319,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elliott, Emily ","contributorId":222841,"corporation":false,"usgs":false,"family":"Elliott","given":"Emily ","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":783320,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70213187,"text":"70213187 - 2019 - Late Miocene to Pleistocene source to sink record of exhumation and sediment routing in the Gulf of Alaska from detrital zircon fission-track and U-Pb double dating","interactions":[],"lastModifiedDate":"2020-09-14T14:23:55.483121","indexId":"70213187","displayToPublicDate":"2019-07-02T09:21:16","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Late Miocene to Pleistocene source to sink record of exhumation and sediment routing in the Gulf of Alaska from detrital zircon fission-track and U-Pb double dating","docAbstract":"We investigate the late Miocene‐Pleistocene offshore sedimentary record of the Yakutat microplate to evaluate the spatial and temporal variations in rock exhumation and sediment routing patterns at the heavily glaciated and actively converging plate boundary in southeast Alaska. We present 1,456 new fission track ages and 1,372 new U‐Pb ages from double‐dated detrital zircons derived from fourteen samples collected from offshore. We integrate our results with published geochronology and thermochronology data onland and offshore in order to constrain grain provenance. We find that offshore strata deposited east of the fold and thrust belt are sourced from the rapidly exhuming areas along the entire Fairweather Fault, the northeastern part of the syntaxial region, as well as the slowly exhuming Insular superterrane. In contrast, the western strata are sourced from the emerging fold and thrust belt and the Chugach Metamorphic Complex located north of the plate boundary. In these samples we identified a change in sediment provenance, which we suggest marks the capture of the Bagley Ice Valley by the proto‐Bering Glacier at the transition from the early to late Pliocene. This implies that the modern Bagley‐Bering Glacier System is much older than previously known. Strata deposited at ~8.6 Ma suggest that extreme rapid exhumation was already ongoing in the late Miocene, which supports previous findings in deep‐sea deposits. Overall, the data help discern several stages in the evolution of sediment routing patterns in response to dynamic tectonic and surficial processes along this active convergent margin.
National Wildlife Refuges (NWRs) along the East Coast of the United States protect habitat for a host of wildlife species, while also offering storm surge protection, improving water quality, supporting nurseries for commercially important fish and shellfish, and providing recreation opportunities for coastal communities. Yet in the last century, coastal ecosystems in the eastern U.S. have been severely altered by human development activities as well as sea-level rise and more frequent extreme events related to climate change. These influences threaten the ability of NWRs to protect our nation’s natural resources and to sustain their many beneficial services.
Through this project, researchers are collaborating with managers of the North Carolina Coastal Refuges Complex, Cape Romain NWR, South Carolina, and other local interested partners to assist with their long-term planning under uncertain conditions regarding sea-level rise and other global change processes. Researchers are using a variety of state-of-the-art approaches, including formal decision science for systematically analyzing management alternatives and scenario planning methods for engaging with stakeholders to explore possible futures. These approaches are aimed at helping NWR staff develop management objectives, identify and weigh potential management actions for adaptation, and generate decision-support tools and models. Outcomes and products from these efforts will aid managers as they plan for and adapt to the complex challenges facing the NWR system as changing climate and other conditions make their work increasingly more difficult.
","language":"English","publisher":"Southeast Climate Adaptation Science Center","usgsCitation":"Eaton, M.J., Costanza, J.K., Johnson, F.A., Martin, J., and Taylor, L., 2019, Climate change adaptation for coastal national wildlife refuges: Final Project Memorandum, 12 p.","productDescription":"12 p.","ipdsId":"IP-115967","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true},{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":381264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":381263,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cascprojects.org/#/project/4f8c6557e4b0546c0c397b4c/553fddf0e4b0a658d7938ef5"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":213526,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":786933,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Costanza, Jennifer K.","contributorId":176907,"corporation":false,"usgs":false,"family":"Costanza","given":"Jennifer","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":786934,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Fred A 0000-0002-5854-3695","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":224058,"corporation":false,"usgs":false,"family":"Johnson","given":"Fred","email":"","middleInitial":"A","affiliations":[{"id":37318,"text":"Aarhus University","active":true,"usgs":false}],"preferred":false,"id":786935,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Julien 0000-0002-7375-129X","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":218445,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":786936,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, Laura","contributorId":224059,"corporation":false,"usgs":false,"family":"Taylor","given":"Laura","affiliations":[{"id":25510,"text":"NC State University","active":true,"usgs":false}],"preferred":false,"id":786937,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70212624,"text":"70212624 - 2019 - Refining the Baseline Sediment Budget for the Klamath River, California","interactions":[],"lastModifiedDate":"2022-01-11T17:32:19.904133","indexId":"70212624","displayToPublicDate":"2019-06-30T10:39:35","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Refining the Baseline Sediment Budget for the Klamath River, California","docAbstract":"Four dams in the Klamath River Hydroelectric Project (KHP) in Oregon and California (Figure 1) are currently scheduled to be removed over a period of a few weeks or months, beginning in January 2021. The Klamath dam removal will be the largest in the world by almost all measures, and is an unprecedented opportunity to advance science of river responses to such events. The KHP contains approximately 10-12 million cubic meters of mostly fine sediment and model estimates suggest approximately 1/3-2/3 of this volume is expected to be eroded from reservoirs. Much of this sediment is expected to be eventually transported by the river to, or through, the Klamath River Estuary, a distance of more than 300 kilometers. To improve the success of restoration activities following dam removal, agencies must understand the baseline conditions for biological, chemical, and physical processes, prior to the removal. We expect large changes in water quality (turbidity, suspended sediment, dissolved oxygen, temperature, and algal toxins) and in fish habitat in the Hydroelectric Reach and the main-stem of the Klamath River to the ocean. For example, modeled sediment concentrations in the Klamath River during dam removal were estimated exceed 10,000 – 15,000 mg/L, depending on streamflows, location, and the dam removal process, and to remain > 100 – 1000 mg/L for months at a time. Final time to achieve background concentrations post dam removal may take over two years (Reclamation, 2011). Plans to assess many of these changes post-dam removal are still being formulated.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SEDHYD 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEDHYD 2019 Conference","conferenceDate":"Jun 24-28, 2019","conferenceLocation":"Reno, NV","language":"English","publisher":"Federal Interagency Sedimentation Conference (FISC) and Federal Interagency Hydrologic Modeling Conference (FIHMC)","usgsCitation":"Anderson, C.W., Wright, S., Schenk, L.N., Skalak, K., Curtis, J., East, A.E., and Benthem, A.J., 2019, Refining the Baseline Sediment Budget for the Klamath River, California, in Proceedings of SEDHYD 2019, v. 5, Reno, NV, Jun 24-28, 2019, 4 p.","productDescription":"4 p.","ipdsId":"IP-105518","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":377828,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":377827,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2019/openconf/modules/request.php?module=oc_proceedings&action=proceedings.php&a=Accept"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Klamath River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.49069213867188,\n 41.899210607606115\n ],\n [\n -121.83563232421875,\n 41.899210607606115\n ],\n [\n -121.83563232421875,\n 42.157295553651664\n ],\n [\n -122.49069213867188,\n 42.157295553651664\n ],\n [\n -122.49069213867188,\n 41.899210607606115\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Chauncey W. 0000-0002-1016-3781 chauncey@usgs.gov","orcid":"https://orcid.org/0000-0002-1016-3781","contributorId":140160,"corporation":false,"usgs":true,"family":"Anderson","given":"Chauncey","email":"chauncey@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797166,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schenk, Liam N. 0000-0002-2491-0813 lschenk@usgs.gov","orcid":"https://orcid.org/0000-0002-2491-0813","contributorId":4273,"corporation":false,"usgs":true,"family":"Schenk","given":"Liam","email":"lschenk@usgs.gov","middleInitial":"N.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797167,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skalak, Katherine 0000-0003-4122-1240 kskalak@usgs.gov","orcid":"https://orcid.org/0000-0003-4122-1240","contributorId":3990,"corporation":false,"usgs":true,"family":"Skalak","given":"Katherine","email":"kskalak@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":797168,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Curtis, Jennifer A. 0000-0001-7766-994X","orcid":"https://orcid.org/0000-0001-7766-994X","contributorId":239547,"corporation":false,"usgs":true,"family":"Curtis","given":"Jennifer A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797169,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":797170,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Benthem, Adam J. 0000-0003-2372-0281","orcid":"https://orcid.org/0000-0003-2372-0281","contributorId":220000,"corporation":false,"usgs":true,"family":"Benthem","given":"Adam","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797171,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70203473,"text":"ofr20191056 - 2019 - Optimization of salt marsh management at the Chincoteague National Wildlife Refuge, Virginia, through use of structured decision making","interactions":[],"lastModifiedDate":"2024-03-04T18:44:10.106398","indexId":"ofr20191056","displayToPublicDate":"2019-06-28T13:45:00","publicationYear":"2019","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":"2019-1056","displayTitle":"Optimization of Salt Marsh Management at the Chincoteague National Wildlife Refuge, Virginia, Through Use of Structured Decision Making","title":"Optimization of salt marsh management at the Chincoteague National Wildlife Refuge, Virginia, through use of structured decision making","docAbstract":"Structured decision making is a systematic, transparent process for improving the quality of complex decisions by identifying measurable management objectives and feasible management actions; predicting the potential consequences of management actions relative to the stated objectives; and selecting a course of action that maximizes the total benefit achieved and balances tradeoffs among objectives. The U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service, applied an existing, regional framework for structured decision making to develop a prototype tool for optimizing salt marsh management decisions at the Chincoteague National Wildlife Refuge in Virginia. Refuge biologists, refuge managers, and research scientists identified multiple potential management actions to improve the ecological integrity of 12 salt marsh management units within the refuge and estimated the outcomes of each action in terms of performance metrics associated with each management objective. Value functions previously developed at the regional level were used to transform metric scores to a common utility scale, and utilities were summed to produce a single score representing the total management benefit that would be accrued from each potential management action. Constrained optimization was used to identify the set of management actions, one per salt marsh management unit, that would maximize total management benefits at different cost constraints at the refuge scale. Results indicated that, for the objectives and actions considered here, total management benefits may increase consistently up to approximately $2.5 million, but that further expenditures may yield diminishing return on investment. For multiple salt marsh management units, a scenario incorporating managing grazing practices within the marsh was selected to maximize benefits while constraining total costs for the refuge at less than $2.5 million. Thin-layer deposition was predicted to increase the total management benefit substantially, but at considerable total costs ($2.5 million to $83 million). The prototype presented here provides a framework for decision making at the Chincoteague National Wildlife Refuge that can be updated as new data and information become available. Insights from this process may also be useful to inform future habitat management planning at the refuge.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191056","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Neckles, H.A., Lyons, J.E., Nagel, J.L., Adamowicz, S.C., Mikula, T., and Holcomb, K.S., 2019, Optimization of salt marsh management at the Chincoteague National Wildlife Refuge, Virginia, through use of structured decision making: U.S. Geological Survey Open-File Report 2019–1056, 29 p., https://doi.org/10.3133/ofr20191056.","productDescription":"vi, 29 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-101219","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":364633,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1056/coverthb.jpg"},{"id":364634,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1056/ofr20191056.pdf","text":"Report","size":"2.60 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1056"}],"country":"United States","state":"Virginia","otherGeospatial":"Chincoteague Island, Chincoteague National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.38440704345703,\n 37.91278405007035\n ],\n [\n -75.3830337524414,\n 37.916169765380076\n ],\n [\n -75.37445068359375,\n 37.917117737741826\n ],\n [\n -75.37273406982422,\n 37.916576040745376\n ],\n [\n -75.36895751953125,\n 37.91468006984207\n ],\n [\n -75.36449432373047,\n 37.91562806140234\n ],\n [\n -75.35608291625977,\n 37.91562806140234\n ],\n [\n -75.35076141357422,\n 37.91684688974227\n ],\n [\n -75.34818649291992,\n 37.920367835943516\n ],\n [\n -75.34629821777344,\n 37.924565666890146\n ],\n [\n -75.34406661987303,\n 37.9276800317787\n ],\n [\n -75.34046173095703,\n 37.936074619194514\n ],\n [\n -75.33823013305664,\n 37.93945926228315\n ],\n [\n -75.34475326538086,\n 37.94094845586459\n ],\n [\n -75.34612655639648,\n 37.947040297194114\n ],\n [\n -75.34114837646484,\n 37.953673061162604\n ],\n [\n -75.33102035522461,\n 37.958681077955525\n ],\n [\n -75.32638549804688,\n 37.958004338883114\n ],\n [\n -75.32655715942383,\n 37.96720745598712\n ],\n [\n -75.31213760375975,\n 37.98141588591056\n ],\n [\n -75.31848907470703,\n 37.983310135428795\n ],\n [\n -75.3219223022461,\n 37.98019812825676\n ],\n [\n -75.32432556152342,\n 37.98182180063798\n ],\n [\n -75.32827377319335,\n 37.982904228934125\n ],\n [\n -75.33102035522461,\n 37.98141588591056\n ],\n [\n -75.33187866210936,\n 37.97153793552019\n ],\n [\n -75.33308029174805,\n 37.968966744104264\n ],\n [\n -75.33565521240234,\n 37.96829009981737\n ],\n [\n -75.34097671508789,\n 37.9630120603577\n ],\n [\n -75.34664154052734,\n 37.959493156611366\n ],\n [\n -75.35642623901367,\n 37.953266990781884\n ],\n [\n -75.36518096923828,\n 37.94568659832042\n ],\n [\n -75.36792755126953,\n 37.942166864531906\n ],\n [\n -75.36672592163085,\n 37.94798787156644\n ],\n [\n -75.3691291809082,\n 37.94988298364895\n ],\n [\n -75.37359237670898,\n 37.94825860485678\n ],\n [\n -75.37445068359375,\n 37.944874367025136\n ],\n [\n -75.37273406982422,\n 37.94162535206254\n ],\n [\n -75.37256240844727,\n 37.93851157792925\n ],\n [\n -75.377197265625,\n 37.935262281661146\n ],\n [\n -75.38389205932617,\n 37.932554425046405\n ],\n [\n -75.39127349853516,\n 37.92402402474885\n ],\n [\n -75.39505004882812,\n 37.916305190751174\n ],\n [\n -75.40895462036133,\n 37.90492859043573\n ],\n [\n -75.40672302246094,\n 37.89937508713545\n ],\n [\n -75.40157318115234,\n 37.898020510564386\n ],\n [\n -75.39573669433594,\n 37.89896871678171\n ],\n [\n -75.39281845092773,\n 37.899781455245545\n ],\n [\n -75.38818359375,\n 37.89910417381559\n ],\n [\n -75.38320541381836,\n 37.90072963877702\n ],\n [\n -75.38114547729492,\n 37.90398046100267\n ],\n [\n -75.3823471069336,\n 37.90858554667319\n ],\n [\n -75.38440704345703,\n 37.91115885137137\n ],\n [\n -75.38440704345703,\n 37.91278405007035\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Eastern Ecological Science Center
U.S. Geological Survey
12100 Beech Forest Road
Laurel, MD 20708
Dissolved selenium is a contaminant of concern in the lower Gunnison River Basin, Colorado. Selenium is naturally present in the Cretaceous Mancos Shale and is leached to groundwater and surface water by irrigation. The groundwater on the east side of the Uncompahgre River in Delta and Montrose Counties is one of the primary sources of selenium concentration and load to surface water in the lower Gunnison River Basin. Although little information about the contribution of groundwater to surface water has been historically available, groundwater has often been implicated as an appreciable source of selenium to surface water. From 2012 to 2016, the U.S. Geological Survey, in cooperation with the Bureau of Reclamation, the Colorado Water Conservation Board, and the Gunnison Basin Selenium Management Program, established a 30-well groundwater-monitoring network on irrigated land to characterize the hydrology and groundwater quality of the shallow groundwater system on the east side of the Uncompahgre River in the lower Gunnison River Basin. The installation of the 30-well network and the data collected allowed for the development of a conceptual model of selenium mobilization and transport in the shallow groundwater system. Monitoring wells were completed in surficial deposits and in weathered Mancos Shale, which generally exhibited unconfined and confined conditions, respectively. Groundwater-quality monitoring provides information on the distribution of selenium and the geochemical processes controlling selenium concentrations in shallow groundwater. Monitoring wells were sampled between August 2013 and March 2015 to understand groundwater quality, seasonality, sources of recharge, and groundwater age. Concentrations of dissolved selenium ranged from below the limit of detection to 4,100 micrograms per liter (µg/L), with a median concentration of 14 µg/L. Concentrations showed a high degree of spatial variability and no seasonal difference. Similarly, no seasonal pattern was observed in specific conductance values of groundwater despite the considerably lower specific conductance value of irrigation water.
Reduction-oxidation processes are important controls on selenium mobility. Nitrate derived from geologic material was a primary control on reduction-oxidation conditions in groundwater and inhibited selenium reduction to less mobile forms. Nitrate was reduced by denitrification in groundwater, but it was not reduced to the extent necessary to allow for selenium reduction. Groundwater ages were determined for groundwater samples from eight wells and ranged from 6 to 20 years old. Isotopic data indicate groundwater was recharged by irrigation water; no information collected supported an older, deeper source of recharge to the shallow groundwater system. Data on water level in all wells showed response to irrigation practices, but the response was delayed in some wells, which may be an indication of distance from recharge source.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20195029","collaboration":"Prepared in cooperation with the Bureau of Reclamation, the Colorado Water Conservation Board, and the Gunnison Basin Selenium Management Program","usgsCitation":"Thomas, J.C., McMahon, P.B., and Arnold, L.R., 2019, Groundwater quality and hydrology with emphasis on selenium mobilization and transport in the lower Gunnison River Basin, Colorado, 2012–16: U.S. Geological Survey Scientific Investigations Report 2019–5029, 69 p., https://doi.org/10.3133/sir20195029.","productDescription":"viii, 69 p.","onlineOnly":"Y","ipdsId":"IP-084069","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":365132,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5029/coverthb.jpg"},{"id":365133,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5029/sir20195029.pdf","text":"Report","size":"10.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5029"}],"country":"United States","state":"Colorado","otherGeospatial":"Lower Gunnison River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.80584716796875,\n 39.01064750994083\n ],\n [\n -109.11895751953125,\n 38.8782049970615\n ],\n [\n -108.6328125,\n 38.10214399750345\n ],\n [\n -108.69598388671875,\n 37.77288579232439\n ],\n [\n -107.87750244140625,\n 37.309014074275915\n ],\n [\n -107.4462890625,\n 37.31338308990806\n ],\n [\n -107.1441650390625,\n 37.727280276860036\n ],\n [\n -107.18536376953125,\n 38.07620357665235\n ],\n [\n -107.26776123046875,\n 38.50304202775689\n ],\n [\n -107.50671386718749,\n 38.9380483825641\n ],\n [\n -107.6495361328125,\n 39.115144700901475\n ],\n [\n -108.80584716796875,\n 39.01064750994083\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, MS-415
Denver, CO 80225-0046
Infections from antibiotic resistant microorganisms are considered to be one of the greatest global public health challenges that result in huge annual economic losses. While genes that impart resistance to antibiotics (AbR) existed long before the discovery and use of antibiotics, anthropogenic uses of antibiotics in agriculture, domesticated animals, and humans are known to influence the prevalence of these genes in pathogenic microorganisms. It is critical to understand the role that natural and anthropogenic processes have on the occurrence and distribution of antibiotic resistance in microbial populations to minimize health risks associated with exposures. As part of this research, 15 antibiotic resistance genes were analyzed in coastal sediments and soils along the eastern seaboard of the USA using presence/absence quantitative and digital polymerase chain reaction assays. Samples (53 soil and 192 sediment samples including 54 replicates) were collected from a variety of coastal settings where human and wildlife exposure is likely. At least one of the antibiotic resistance genes was detected in 76.4% of the samples. Samples that contained at least five or more antibiotic resistance genes (5.7%) where typically hydrologically down gradient of watersheds influenced by combined sewer outfalls (CSO). The most frequently detected antibiotic resistance target genes were found in 33.2%, 34.4%, and 42.2% of samples (target genes blaSHV, tetO, and aadA2, respectively). These data provide unique insight into potential exposure of AbR genes over a large geographical region of the eastern seaboard of the USA.
","language":"English","publisher":"Springer International Publishing","doi":"10.1007/s10661-019-7426-z","usgsCitation":"Griffin, D.W., Benzel, W., Fisher, S.C., Focazio, M.J., Iwanowicz, L.R., Loftin, K., Reilly, T.J., and Jones, D.K., 2019, The presence of antibiotic resistance genes in coastal soil and sediment samples from the eastern seaboard of the USA: Environmental Monitoring and Assessment, v. 19, no. Suppl 2, 300, 17 p., https://doi.org/10.1007/s10661-019-7426-z.","productDescription":"300, 17 p.","ipdsId":"IP-086519","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"links":[{"id":367003,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Delaware, District of Columbia, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, South Carolina, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.379150390625,\n 45.042478050891546\n ],\n [\n -69.8291015625,\n 44.41024041296011\n ],\n [\n -70.784912109375,\n 43.59630591596548\n ],\n [\n -71.641845703125,\n 42.25291778330197\n ],\n [\n -71.9384765625,\n 41.582579601430346\n ],\n [\n -73.004150390625,\n 41.50857729743935\n ],\n [\n -74.15771484375,\n 40.896905775860006\n ],\n [\n -74.90478515625,\n 40.32141999593439\n ],\n [\n -76.83837890625,\n 39.317300373271024\n ],\n [\n -77.222900390625,\n 38.93377552819722\n ],\n [\n -77.464599609375,\n 38.460041065720446\n ],\n [\n -77.03887939453125,\n 36.855449936136495\n ],\n [\n -76.7669677734375,\n 36.59127365634205\n ],\n [\n -75.86883544921875,\n 36.558187766360675\n ],\n [\n -73.575439453125,\n 39.90973623453719\n ],\n [\n -69.840087890625,\n 41.236511201246216\n ],\n [\n -70.015869140625,\n 42.61779143282346\n ],\n [\n -69.818115234375,\n 43.51668853502906\n ],\n [\n -66.873779296875,\n 44.68427737181225\n ],\n [\n -67.1044921875,\n 45.042478050891546\n ],\n [\n -67.379150390625,\n 45.042478050891546\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"Suppl 2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Griffin, Dale W. 0000-0003-1719-5812 dgriffin@usgs.gov","orcid":"https://orcid.org/0000-0003-1719-5812","contributorId":2178,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale","email":"dgriffin@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":769584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benzel, William 0000-0002-4085-1876 wbenzel@usgs.gov","orcid":"https://orcid.org/0000-0002-4085-1876","contributorId":3594,"corporation":false,"usgs":true,"family":"Benzel","given":"William","email":"wbenzel@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":769594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Shawn C. 0000-0001-6324-1061 scfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-6324-1061","contributorId":4843,"corporation":false,"usgs":true,"family":"Fisher","given":"Shawn","email":"scfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":769595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Focazio, Michael J. 0000-0003-0967-5576 mfocazio@usgs.gov","orcid":"https://orcid.org/0000-0003-0967-5576","contributorId":1276,"corporation":false,"usgs":true,"family":"Focazio","given":"Michael","email":"mfocazio@usgs.gov","middleInitial":"J.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":769596,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178 liwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":190787,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke","email":"liwanowicz@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":769597,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Loftin, Keith A. 0000-0001-5291-876X","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":205662,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":769598,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reilly, Timothy J. 0000-0002-2939-3050 tjreilly@usgs.gov","orcid":"https://orcid.org/0000-0002-2939-3050","contributorId":1858,"corporation":false,"usgs":true,"family":"Reilly","given":"Timothy","email":"tjreilly@usgs.gov","middleInitial":"J.","affiliations":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":769599,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jones, Daniel K. 0000-0003-0724-8001 dkjones@usgs.gov","orcid":"https://orcid.org/0000-0003-0724-8001","contributorId":4959,"corporation":false,"usgs":true,"family":"Jones","given":"Daniel","email":"dkjones@usgs.gov","middleInitial":"K.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":769600,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70204049,"text":"70204049 - 2019 - Improving pressure-limited CO2 storage capacity in saline formations by means of brine extraction","interactions":[],"lastModifiedDate":"2019-07-01T09:49:34","indexId":"70204049","displayToPublicDate":"2019-06-28T09:44:46","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2049,"text":"International Journal of Greenhouse Gas Control","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Improving pressure-limited CO2 storage capacity in saline formations by means of brine extraction","title":"Improving pressure-limited CO2 storage capacity in saline formations by means of brine extraction","docAbstract":"The carbon dioxide (CO2) storage capacity of saline formations may be constrained by reservoir pressure limitations. Brine extraction could be necessary to increase the CO2 storage capacity of a given formation, manage the extent of the underground CO2 plume and induced pressure front, and control the migration direction. To estimate the additional CO2 storage capacity of a saline formation that can be made accessible by extraction of in-situ brines, a three-dimensional (3D) generic cubic cell containing one CO2 injector in the middle surrounded by four brine extractors at each corner of the cell was assumed. A series of Tough2-ECO2N reservoir simulations were constructed with varying reservoir properties and run. Based on a series of scenarios, a mechanism was developed and demonstrated that resulted in derivation of a function to provide estimates of the ratio of total CO2 injection over the brine extraction rate for a given scenario. We selected multiple saline formations in U.S. basins and evaluated the potential to increase the combined dynamic CO2 storage capacity of the selected saline formations to over 1000 million metric tonnes per year (Mt/yr) of CO2 for 100 years by means of brine extraction. Such storage capacities may be adequate to accommodate the CO2 injection rates suggested for the United States under a “beyond two-degree Celsius scenario” (B2DS) that has been proposed to maintain global temperature rise to less than 2°C above pre-industrial reported levels. The results suggest that B2DS goals could be achieved with a volume ratio of brine extraction to CO2injection as low as 1:4, which is far lower than the ratios that have been commonly assumed in the literature.
","language":"English","publisherLocation":"Elsevier","doi":"10.1016/j.ijggc.2019.06.009","usgsCitation":"Jahediesfanjani, H., Anderson, S.T., and Warwick, P., 2019, Improving pressure-limited CO2 storage capacity in saline formations by means of brine extraction: International Journal of Greenhouse Gas Control, v. 88, p. 299-310, https://doi.org/10.1016/j.ijggc.2019.06.009.","productDescription":"12 p.","startPage":"299","endPage":"310","ipdsId":"IP-104245","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":467496,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijggc.2019.06.009","text":"Publisher Index Page"},{"id":365243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jahediesfanjani, Hossein 0000-0001-6281-5166","orcid":"https://orcid.org/0000-0001-6281-5166","contributorId":201000,"corporation":false,"usgs":false,"family":"Jahediesfanjani","given":"Hossein","affiliations":[],"preferred":false,"id":765279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Steven T. 0000-0003-3481-3424 sanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-3481-3424","contributorId":2532,"corporation":false,"usgs":true,"family":"Anderson","given":"Steven","email":"sanderson@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":765280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warwick, Peter D. 0000-0002-3152-7783","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":205928,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":765278,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70203897,"text":"sir20195061 - 2019 - Sand Creek characterization study for Oncorhynchus clarkii virginalis (Rio Grande Cutthroat Trout), Great Sand Dunes National Park and Preserve, Colorado","interactions":[],"lastModifiedDate":"2019-07-05T14:56:42","indexId":"sir20195061","displayToPublicDate":"2019-06-27T15:40:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5061","displayTitle":"Sand Creek Characterization Study for Oncorhynchus clarkii virginalis (Rio Grande Cutthroat Trout), Great Sand Dunes National Park and Preserve, Colorado","title":"Sand Creek characterization study for Oncorhynchus clarkii virginalis (Rio Grande Cutthroat Trout), Great Sand Dunes National Park and Preserve, Colorado","docAbstract":"The Oncorhynchus clarkii virginalis (Rio Grande cutthroat trout, RGCT) has undergone extensive declines in distribution and population. The RGCT is the southernmost distributed subspecies of cutthroat trout. Native to the Rio Grande Basin in Colorado and New Mexico, the subspecies is also found in the headwaters of the Pecos River and Canadian River basins in New Mexico. Currently, RGCT populations represent approximately 12 percent of the historic distribution. There are many factors that have contributed to the decline of the RGCT including small population sizes; hybridization with non-native salmonids; competition with non-native salmonids; angling; and loss of habitat resulting from wildfire, stream drying, disease, increased water temperatures; and poor land management.
The eastern side of Colorado’s Rio Grande Basin is also home to Great Sand Dunes National Park and Preserve and the Sand Creek watershed. This study was designed to (1) characterize current physical and biological conditions of waterbodies within the Sand Creek watershed, from headwaters to lower terminus near the dune field; (2) characterize the spatial extent of existing fisheries within the Sand Creek watershed to inform the scope of potential future reclamation efforts; and (3) evaluate key limiting factors for a future native RGCT reintroduction.
Bathymetric profiles were completed for two lakes within the upper Sand Creek drainage to characterize the physical geometry of each lake and to estimate the total lake volume required for future piscicide treatment and (or) fish removal efforts. Physical and biological conditions evaluated included stream water temperature and intermittency, discharge, and the genetics and existing fish community distribution and composition within the Sand Creek watershed were key components of this study. A baseline established the geographic extent and biological constraints factored into future piscicide treatment planning and native trout reintroduction efforts.
As a result of this work, the Sand Creek watershed can be broken up into several distinct categories: Lakes that are good candidates for reclamation and reintroduction of RGCT, lakes that are poor candidates for reclamation, streams that currently have fish and are good candidates for reclamation and reintroduction, streams that currently lack fish and may be good candidates for introduction of RGCT, and streams that currently lack fish and are not good candidates for introduction of RGCT. This characterization study report is intended to inform State and Federal managers of the likelihood that the Sand Creek watershed can support a sustainable population of RGCT should they be reintroduced.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195061","collaboration":"Prepared in Cooperation with the National Park Service","usgsCitation":"McGee, B.N., Todd, A.S., and Terry, K.A., 2019, Sand Creek characterization study for Oncorhynchus clarkii virginalis (Rio Grande cutthroat trout), Great Sand Dunes National Park and Preserve, Colorado: U.S. Geological Survey Scientific Investigations Report 2019–5061, 38 p., https://doi.org/10.3133/sir20195061.","productDescription":"38 p.","onlineOnly":"Y","ipdsId":"IP-101143","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":365287,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2019/5061/versionHist.txt","text":"Version History","size":"1 kB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2019–5061 version history"},{"id":365110,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5061/sir20195061.pdf","text":"Report","size":"17.4 MB ","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5061"},{"id":365109,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5061/coverthb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Great Sand Dunes National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.9686279296875,\n 37.57505900514996\n ],\n [\n -105.2764892578125,\n 37.57505900514996\n ],\n [\n -105.2764892578125,\n 38.048091067457236\n ],\n [\n -105.9686279296875,\n 38.048091067457236\n ],\n [\n -105.9686279296875,\n 37.57505900514996\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 80225-0046
Information concerning the availability, use, and quality of water in East Carroll Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. In 2014, 39.63 million gallons per day (Mgal/d) of water were withdrawn in East Carroll Parish: 32.43 Mgal/d from groundwater sources and 7.20 Mgal/d from surface-water sources. Withdrawals for agricultural use—composed of general irrigation, rice irrigation, and livestock—accounted for 97 percent (38.55 Mgal/d) of the total water withdrawn. Other categories of use included public supply and rural domestic. Water-use data collected at 5-year intervals from 1960 to 2010 and again in 2014 indicated that water withdrawals peaked in 1980 at 47.96 Mgal/d.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193014","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., 2019, Water resources of East Carroll Parish, Louisiana: U.S. Geological Survey Fact Sheet 2019–3014, 6 p., https://doi.org/10.3133/fs20193014.","productDescription":"Report: 6 p.; Data Release","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-081702","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":365084,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3014/fs20193014.pdf","text":"Report","size":"929 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019–3014"},{"id":365083,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3014/coverthb.jpg"},{"id":365085,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78051VM","text":"USGS data release ","description":"USGS Data Release","linkHelpText":"Water withdrawals by source and category in Louisiana Parishes, 2014–2015"}],"country":"United States","state":"Louisiana","county":"East Carroll Parish","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-91.1631,33.0045],[-91.1648,33.0007],[-91.1676,32.9966],[-91.1679,32.9962],[-91.172,32.9907],[-91.1771,32.9856],[-91.1813,32.9825],[-91.1868,32.9784],[-91.1901,32.9757],[-91.1944,32.9736],[-91.1965,32.9713],[-91.199,32.9676],[-91.1999,32.9635],[-91.2002,32.9585],[-91.2017,32.954],[-91.2038,32.9507],[-91.2055,32.9471],[-91.2081,32.9434],[-91.211,32.9362],[-91.2126,32.9303],[-91.2116,32.9239],[-91.2094,32.9184],[-91.205,32.9138],[-91.1994,32.9094],[-91.1906,32.9049],[-91.1824,32.9027],[-91.1742,32.901],[-91.1679,32.9005],[-91.1616,32.9007],[-91.1554,32.9014],[-91.1488,32.9037],[-91.1428,32.9068],[-91.1388,32.9095],[-91.1345,32.9132],[-91.1323,32.9169],[-91.1307,32.921],[-91.1303,32.9256],[-91.1303,32.9319],[-91.131,32.9374],[-91.1327,32.9424],[-91.1344,32.9492],[-91.1366,32.956],[-91.1283,32.9601],[-91.1391,32.9705],[-91.1332,32.9774],[-91.1277,32.9814],[-91.1211,32.9855],[-91.1147,32.9872],[-91.1098,32.9877],[-91.1043,32.9868],[-91.0998,32.9845],[-91.0966,32.9819],[-91.0916,32.9778],[-91.0877,32.9729],[-91.0849,32.9683],[-91.0838,32.9638],[-91.0834,32.9621],[-91.0688,32.9321],[-91.064,32.9052],[-91.0809,32.8777],[-91.1028,32.8602],[-91.1455,32.8427],[-91.1541,32.8238],[-91.1544,32.8233],[-91.1568,32.819],[-91.1597,32.8114],[-91.1624,32.8008],[-91.1628,32.7941],[-91.1621,32.7886],[-91.1599,32.7841],[-91.1582,32.7805],[-91.1576,32.7768],[-91.1597,32.7736],[-91.1624,32.7695],[-91.1647,32.7653],[-91.1656,32.7613],[-91.1638,32.7572],[-91.1616,32.7527],[-91.155,32.7459],[-91.1463,32.7429],[-91.1392,32.7416],[-91.1326,32.7416],[-91.1255,32.7416],[-91.12,32.7408],[-91.1167,32.7402],[-91.1102,32.7386],[-91.1063,32.7377],[-91.101,32.7373],[-91.0976,32.7374],[-91.0916,32.737],[-91.0863,32.7373],[-91.0798,32.7363],[-91.0758,32.7353],[-91.0705,32.734],[-91.0656,32.7313],[-91.0598,32.7282],[-91.0559,32.7227],[-91.0548,32.7168],[-91.0542,32.7136],[-91.0558,32.7095],[-91.0585,32.7072],[-91.0622,32.704],[-91.0671,32.7008],[-91.0709,32.6985],[-91.0745,32.6958],[-91.079,32.6929],[-91.0817,32.6911],[-91.0871,32.689],[-91.0931,32.6854],[-91.1006,32.68],[-91.1087,32.6735],[-91.1155,32.6672],[-91.1184,32.6647],[-91.1227,32.6624],[-91.1276,32.6592],[-91.134,32.6555],[-91.1395,32.6531],[-91.145,32.6491],[-91.1494,32.6459],[-91.1527,32.6432],[-91.1543,32.6396],[-91.1545,32.6371],[-91.1549,32.6316],[-91.1532,32.6261],[-91.1495,32.6182],[-91.1431,32.6077],[-91.1387,32.6008],[-91.1333,32.5935],[-91.1282,32.5913],[-91.1217,32.5905],[-91.1119,32.5906],[-91.0996,32.5929],[-91.0876,32.5975],[-91.0772,32.602],[-91.068,32.6047],[-91.0609,32.606],[-91.0555,32.6075],[-91.0489,32.6128],[-91.0461,32.6164],[-91.0428,32.6214],[-91.0406,32.6264],[-91.0395,32.6301],[-91.0384,32.6342],[-91.0367,32.6387],[-91.0336,32.6414],[-91.0298,32.6433],[-91.0244,32.6442],[-91.0211,32.6438],[-91.0162,32.642],[-91.0102,32.6366],[-91.0052,32.6304],[-91.0029,32.6244],[-91.0031,32.6181],[-91.0042,32.6117],[-91.007,32.6067],[-91.0114,32.6024],[-91.0157,32.599],[-91.0201,32.5958],[-91.0243,32.5937],[-91.0275,32.5918],[-91.0297,32.5882],[-91.0318,32.5849],[-91.036,32.5809],[-91.0387,32.5786],[-91.04,32.5778],[-91.0436,32.5754],[-91.0491,32.5734],[-91.0551,32.5709],[-91.0594,32.5692],[-91.0621,32.5683],[-91.0658,32.5664],[-91.0702,32.5645],[-91.0749,32.5627],[-91.1084,32.5629],[-91.109,32.5565],[-91.1303,32.5457],[-91.1341,32.5379],[-91.1711,32.5376],[-91.2005,32.5377],[-91.2141,32.5377],[-91.3718,32.538],[-91.3903,32.5376],[-91.4577,32.5376],[-91.4555,32.5413],[-91.4457,32.5431],[-91.4414,32.5435],[-91.4387,32.5467],[-91.4425,32.5504],[-91.4425,32.5526],[-91.4354,32.5563],[-91.431,32.5613],[-91.4452,32.58],[-91.4457,32.5818],[-91.443,32.5868],[-91.4326,32.5927],[-91.4277,32.5996],[-91.419,32.6005],[-91.4158,32.6036],[-91.4098,32.6032],[-91.4016,32.6059],[-91.3951,32.6118],[-91.3961,32.6146],[-91.4021,32.615],[-91.4048,32.6178],[-91.4054,32.6264],[-91.4016,32.6301],[-91.4005,32.631],[-91.3999,32.6337],[-91.4037,32.6369],[-91.401,32.6423],[-91.395,32.6451],[-91.395,32.6565],[-91.4015,32.6587],[-91.4021,32.6647],[-91.4026,32.672],[-91.401,32.6815],[-91.4004,32.6893],[-91.3977,32.6938],[-91.3922,32.6929],[-91.3873,32.6902],[-91.383,32.6888],[-91.3764,32.6888],[-91.3737,32.692],[-91.3748,32.6974],[-91.3775,32.6997],[-91.3764,32.7047],[-91.3753,32.7097],[-91.3753,32.7134],[-91.3726,32.7179],[-91.3677,32.7243],[-91.3616,32.7343],[-91.3584,32.7402],[-91.3534,32.7439],[-91.3491,32.747],[-91.3458,32.7502],[-91.3458,32.7561],[-91.3463,32.7602],[-91.3474,32.763],[-91.3447,32.7771],[-91.3425,32.7835],[-91.3425,32.7944],[-91.3424,32.8017],[-91.3435,32.8089],[-91.3419,32.8135],[-91.3413,32.8217],[-91.3489,32.824],[-91.3473,32.8395],[-91.344,32.8454],[-91.3418,32.8545],[-91.3396,32.8622],[-91.3347,32.8658],[-91.3303,32.8722],[-91.3254,32.8713],[-91.3232,32.8654],[-91.3205,32.8649],[-91.3155,32.8695],[-91.3161,32.8749],[-91.3133,32.8808],[-91.3106,32.8827],[-91.3138,32.8977],[-91.3155,32.9022],[-91.3149,32.9082],[-91.3138,32.9136],[-91.3028,32.925],[-91.3056,32.9305],[-91.3072,32.9318],[-91.3105,32.9359],[-91.3061,32.9414],[-91.3006,32.9482],[-91.2929,32.9491],[-91.2869,32.9505],[-91.2831,32.9504],[-91.2771,32.9545],[-91.2765,32.9609],[-91.2792,32.9759],[-91.2748,32.9755],[-91.2699,32.9732],[-91.2683,32.9773],[-91.2742,32.9859],[-91.2715,32.9896],[-91.2644,32.9918],[-91.2627,33.0009],[-91.2605,33.005],[-91.1631,33.0045]]]},\"properties\":{\"name\":\"East Carroll\",\"state\":\"LA\"}}]}","contact":"Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
3535 S. Sherwood Forest Blvd., Suite 120
Baton Rouge, LA 70816
The U.S. Geological Survey, in cooperation with the Albuquerque Bernalillo County Water Utility Authority (ABCWUA), has developed a series of maps and associated reports, beginning in 2002, that document groundwater levels in the production zone of the Santa Fe Group aquifer system beneath a large area of the City of Albuquerque, New Mexico (hereafter called the study area). Herein, we document the construction of groundwater-level change maps for representative conditions during three periods: 2002–8, 2008–12, and 2008–16.
Groundwater-elevation changes correspond to water use by the ABCWUA, with declines occurring prior to 2008 and accelerating recovery after 2008. Prior to 2008, the ABCWUA relied exclusively on groundwater from the Santa Fe Group aquifer system for municipal water supply. For the period 2002–8, near the end of the period of exclusive groundwater use, groundwater elevations in the production zone of the Santa Fe Group aquifer system declined as much as 20 to 30 feet. The largest 2002–8 groundwater-elevation declines were observed near the southeast corner of the study area and to the west of the Rio Grande. Since the ABCWUA implemented the San Juan-Chama Drinking Water Project in 2008, the proportion of municipal water supply sourced directly from surface water has increased to approximately two-thirds of the total water supply in 2016. Following initiation of this change in supply in 2008, groundwater elevations in the production zone of the Santa Fe Group aquifer system cumulatively rose as much as 20 to 30 feet by 2012 and 30 to 40 feet by 2016. The largest groundwater-elevation rises were observed near the northeast and southeast corners of the study area and to the west of the Rio Grande, whereas groundwater-elevation declines since 2008 were restricted to a localized area on the eastern margin of the study area. The area beneath the pre-flood-control-era (1971) flood plain of the Rio Grande underwent the least amount of groundwater-level change during any period, with minimal change prior to 2008 and small groundwater-elevation rises of less than 10 feet since 2008.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3435","collaboration":"Prepared in cooperation with the Albuquerque Bernalillo County Water Utility Authority","usgsCitation":"Ritchie, A.B., Galanter, A.E., and Curry, L.T.S., Groundwater-level change for the periods 2002–8, 2008–12, and 2008–16 in the Santa Fe Group aquifer system in the Albuquerque area, central New Mexico: U.S. Geological Survey Scientific Investigations Map 3435, 1 sheet, pamphlet, https://doi.org/10.3133/sim3435.","productDescription":"Pamphlet: vi, 16 p.; Sheet: 22 x 18 inches","numberOfPages":"27","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-106015","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":365038,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3435/coverthb.jpg"},{"id":365040,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3435/sim3435.pdf","text":"Sheet","size":"1.35 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3435 "},{"id":365039,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3435/sim3435_pamphlet.pdf","text":"Pamphlet","size":"2.07 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3435 Pamphlet"}],"country":"United States","state":"New Mexico","county":"Bernalillo County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-106.242,35.2147],[-106.2387,35.0549],[-106.2386,35.0408],[-106.2373,34.9568],[-106.1453,34.9547],[-106.1446,34.872],[-106.3328,34.8712],[-106.3569,34.8702],[-106.409,34.8687],[-106.4097,34.8914],[-106.417,34.8945],[-106.4221,34.9013],[-106.6755,34.9065],[-106.6838,34.9006],[-106.6917,34.901],[-106.6922,34.896],[-106.7139,34.8772],[-106.7127,34.8713],[-107.0181,34.8727],[-107.0227,34.8817],[-107.0641,34.9618],[-107.104,35.0395],[-107.1068,35.0454],[-107.1769,35.1809],[-107.1972,35.2197],[-107.1628,35.2192],[-107.1623,35.2192],[-107.1578,35.2192],[-107.1262,35.2186],[-107.1105,35.2188],[-107.0936,35.2189],[-107.0801,35.2186],[-107.0761,35.2186],[-107.0345,35.2185],[-106.9416,35.217],[-106.9337,35.2171],[-106.8808,35.2171],[-106.8622,35.2172],[-106.5955,35.2184],[-106.5645,35.2186],[-106.4964,35.2184],[-106.479,35.2176],[-106.4531,35.2172],[-106.3822,35.2175],[-106.3765,35.2175],[-106.242,35.2147]]]},\"properties\":{\"name\":\"Bernalillo\",\"state\":\"NM\"}}]}","contact":"Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith NE, Suite B
Albuquerque, NM 87113
Oil and gas (energy) development in the Williston Basin, which partly underlies the Prairie Pothole Region in central North America, has helped meet U.S. energy demand for decades. Historical handling and disposal practices of saline wastewater co-produced during energy development resulted in salinization of surface and groundwater at numerous legacy energy sites. Thirty years of monitoring (1988–2018) at Goose Lake, which has been producing since the 1960s, documents long-term spatial and temporal changes in water quality from legacy energy development. Surface water quality was highly variable and decoupled from changes in groundwater quality, likely due to annual and regional climatic fluctuations. Therefore, changes in surface water-quality were not considered a reliable indicator of subsurface chloride migration. However, chloride concentrations in monitoring wells near wastewater sources exhibited systematic temporal reductions allowing for estimates of the time required for natural attenuation of groundwater to U.S. Environmental Protection Agency acute and chronic chloride toxicity benchmarks and a local background level. Point attenuation rates differed based on sediment type (outwash vs till) and yielded a range of predicted years when water-quality targets will be reached: acute – 2045 to 2113; chronic – 2069 to 2160; background – 2126 to 2275. Bulk attenuation rates from four separate years of data were used to calculate the distances chloride could migrate downgradient from the largest wastewater source. Potential distances of downgradient migration before dilution to water-quality targets decreased from 1989 to 2018: acute – 949 to 673 m; chronic – 1220 to 922 m; background – 1878 to 1525 m. Several downgradient wetlands are within these distances and will continue to receive saline contaminated groundwater for years. While these results demonstrate chloride attenuation at a legacy energy site, they also highlight the persistence of saline wastewater contamination and the need to mitigate future spills to prevent long-term salinization from energy development.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.06.428","usgsCitation":"Preston, T.M., Anderson, C.W., Thamke, J., Hossack, B.R., Skalak, K., and Cozzarelli, I.M., 2019, Predicting attenuation of salinized surface- and groundwater-resources from legacy energy development in the Prairie Pothole Region: Science of the Total Environment, v. 690, p. 522-533, https://doi.org/10.1016/j.scitotenv.2019.06.428.","productDescription":"12 p.","startPage":"522","endPage":"533","ipdsId":"IP-107005","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":460347,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2019.06.428","text":"Publisher Index Page"},{"id":366565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","county":"Sheridan County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-104.8111,49.0001],[-104.8065,49.0001],[-104.8053,49.0001],[-104.8036,49.0001],[-104.7882,49.0001],[-104.7708,49.0001],[-104.766,49.0001],[-104.7438,49.0001],[-104.7436,49.0001],[-104.7309,49.0002],[-104.7183,49.0002],[-104.7068,49.0002],[-104.6808,49.0003],[-104.6779,49.0003],[-104.6549,49.0003],[-104.634,49.0003],[-104.6131,49.0003],[-104.4101,49.0004],[-104.0496,49.0005],[-104.0496,49],[-104.0478,48.6328],[-104.0468,48.4091],[-104.0466,48.3892],[-104.2359,48.39],[-104.5367,48.3897],[-104.5748,48.3904],[-104.6238,48.3897],[-104.6234,48.4762],[-104.7556,48.4766],[-104.7561,48.5621],[-104.8393,48.5627],[-104.9709,48.5634],[-104.9717,48.6337],[-104.9709,48.6513],[-105.0393,48.6507],[-105.0401,48.7373],[-105.0396,48.8242],[-105.039,48.9113],[-105.0575,48.9111],[-105.0554,49.0002],[-105.0516,49.0002],[-105.0483,49.0002],[-105.0469,49.0002],[-105.0462,49.0002],[-105.0424,49.0003],[-105.0367,49.0003],[-105.0297,49.0003],[-105.0269,49.0002],[-105.0081,49.0002],[-105.0077,49.0002],[-105.0068,49.0002],[-105.0059,49.0002],[-105.0005,49.0002],[-105,49.0002],[-104.9988,49.0002],[-104.9527,49.0002],[-104.9509,49.0002],[-104.95,49.0002],[-104.9244,49.0002],[-104.8969,49.0002],[-104.893,49.0002],[-104.8615,49.0002],[-104.8612,49.0002],[-104.861,49.0002],[-104.8586,49.0002],[-104.851,49.0001],[-104.8432,49.0001],[-104.8319,49.0001],[-104.8265,49.0001],[-104.8156,49.0001],[-104.8135,49.0001],[-104.8111,49.0001]]]},\"properties\":{\"name\":\"Sheridan\",\"state\":\"MT\"}}]}","volume":"690","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Preston, Todd M. 0000-0002-8812-9233","orcid":"https://orcid.org/0000-0002-8812-9233","contributorId":204676,"corporation":false,"usgs":true,"family":"Preston","given":"Todd","email":"","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":768304,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Chauncey W. 0000-0002-1016-3781 chauncey@usgs.gov","orcid":"https://orcid.org/0000-0002-1016-3781","contributorId":140160,"corporation":false,"usgs":true,"family":"Anderson","given":"Chauncey","email":"chauncey@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thamke, Joanna N. 0000-0002-6917-1946 jothamke@usgs.gov","orcid":"https://orcid.org/0000-0002-6917-1946","contributorId":1012,"corporation":false,"usgs":true,"family":"Thamke","given":"Joanna N.","email":"jothamke@usgs.gov","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768305,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":768307,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Skalak, Katherine 0000-0003-4122-1240 kskalak@usgs.gov","orcid":"https://orcid.org/0000-0003-4122-1240","contributorId":3990,"corporation":false,"usgs":true,"family":"Skalak","given":"Katherine","email":"kskalak@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":768308,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":768309,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70206446,"text":"70206446 - 2019 - First record of the non-indigenous parasitic copepod Neoergasilus japonicus (Harada, 1950) in the Lake Ontario Watershed: Oneida Lake, New York","interactions":[],"lastModifiedDate":"2020-01-03T10:16:20","indexId":"70206446","displayToPublicDate":"2019-06-25T15:19:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"First record of the non-indigenous parasitic copepod Neoergasilus japonicus (Harada, 1950) in the Lake Ontario Watershed: Oneida Lake, New York","title":"First record of the non-indigenous parasitic copepod Neoergasilus japonicus (Harada, 1950) in the Lake Ontario Watershed: Oneida Lake, New York","docAbstract":"Four specimens of the Asiatic parasitic copepod Neoergasilus japonicus (Harada, 1930) were collected from Oneida Lake, New York in September 2018; one specimen was from a white sucker Catostomus commersonii, another from a green sunfish Lepomis cyanellus, and two from a bluegill Lepomis macrochirus. The four adult female specimens were found attached to the base of the gills of their respective hosts along with other ergasilid species. The average total length of the adult female N. japonicus specimens we found was 0.609 mm. These detections represent the first known occurrence of this non-native species in the state of New York, extends the easternmost distribution of this parasite over 400 miles, and now includes the Lake Ontario watershed for the first time. It is commonly believed that the international aquaculture industry and aquarium fish trade are the most likely vectors of dispersal for N. japonicus. Monitoring the spread of non-indigenous aquatic species is an important step towards the development of management plans and mitigation efforts with regards to the anthropogenic causes of dispersal, and fish parasites are no exception.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2019.09.017","usgsCitation":"Marshall, C.C., Hudson, P., Jackson, J.R., Connolly, J.K., Watkins, J.M., and Rudstam, L.G., 2019, First record of the non-indigenous parasitic copepod Neoergasilus japonicus (Harada, 1950) in the Lake Ontario Watershed: Oneida Lake, New York: Journal of Great Lakes Research, v. 45, no. 6, p. 1348-1353, https://doi.org/10.1016/j.jglr.2019.09.017.","productDescription":"6 p.","startPage":"1348","endPage":"1353","ipdsId":"IP-108537","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":368936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Oneida Lake, Lake Ontario watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.14212036132812,\n 43.12203614830064\n ],\n [\n -75.66970825195312,\n 43.12203614830064\n ],\n [\n -75.66970825195312,\n 43.26620632572599\n ],\n [\n -76.14212036132812,\n 43.26620632572599\n ],\n [\n -76.14212036132812,\n 43.12203614830064\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"6","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Marshall, Chris C.","contributorId":220245,"corporation":false,"usgs":false,"family":"Marshall","given":"Chris","email":"","middleInitial":"C.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":774578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hudson, Patrick 0000-0002-7646-443X","orcid":"https://orcid.org/0000-0002-7646-443X","contributorId":220244,"corporation":false,"usgs":true,"family":"Hudson","given":"Patrick","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":774577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, J. Randy","contributorId":220248,"corporation":false,"usgs":false,"family":"Jackson","given":"J.","email":"","middleInitial":"Randy","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":774582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Connolly, Joe K.","contributorId":220247,"corporation":false,"usgs":false,"family":"Connolly","given":"Joe","email":"","middleInitial":"K.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":774580,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Watkins, Jim M","contributorId":220246,"corporation":false,"usgs":false,"family":"Watkins","given":"Jim","email":"","middleInitial":"M","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":774579,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rudstam, Lars G. 0000-0002-3732-6368","orcid":"https://orcid.org/0000-0002-3732-6368","contributorId":213508,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":774581,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70202388,"text":"ofr20191019 - 2019 - The major coral reefs of Maui Nui, Hawai‘i—distribution, physical characteristics, oceanographic controls, and environmental threats","interactions":[],"lastModifiedDate":"2019-06-26T09:35:14","indexId":"ofr20191019","displayToPublicDate":"2019-06-25T15:06:10","publicationYear":"2019","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":"2019-1019","displayTitle":"The Major Coral Reefs of Maui Nui, Hawai‘i—Distribution, Physical Characteristics, Oceanographic Controls, and Environmental Threats","title":"The major coral reefs of Maui Nui, Hawai‘i—distribution, physical characteristics, oceanographic controls, and environmental threats","docAbstract":"Coral reefs are widely recognized as critical to Hawaiʻi’s economy, food resources, and protection from damaging storm waves. Yet overfishing, land-based pollution, and climate change are threatening the health and sustainability of those reefs, and accordingly, both the Federal and State governments have called for protection and effective management. In 2000, the U.S. Coral Reef Task Force stated that 20 percent of coral reefs should be protected by 2010. In 2016, the Governor of Hawaiʻi committed to effective management of 30 percent of Hawaiian coastal habitats by 2030 to protect coral reefs. At present, the amount of coral protected in the main Hawaiian Islands is less than 1 percent.
Most of the large, highly diverse coral reef tracts in the main Hawaiian Islands surround the four islands of Maui, Molokaʻi, Lānaʻi, and Kahoʻolawe, collectively known as Maui Nui. This report provides fundamental information on the location, extent, coral cover, threats, and connectivity of these major coral reef tracts in Maui Nui essential for identifying areas for management and protection.
By combining high-resolution bathymetric data with available maps, publications, and satellite and underwater images, nine major coral reef tracts are identified in the coastal waters of Maui Nui. Three very large reef tracts lie along the south side of Molokaʻi, two on the east side of Lānaʻi, and four off Maui. The factors that make these Maui Nui coral reef tracts a major and important resource for Hawaiʻi include their vast size and high coral cover (nearly 16,000 acres of reef, most of which has more than 50 percent live coral cover); diversity of shape, size, and location; and separation between reefs while retaining connectivity via currents. The decline in the health of these coral reefs over the past several decades has been slow but persistent. Punctuation of the decline by large-scale disturbance events, such as the thermal bleaching that occurred in 2015, is accelerating the loss of viable reef areas by an order of magnitude.
The economic, cultural, and recreational value of these coral reef tracts highlights the importance of their long-term survival to the local communities and all of Hawaiʻi. There is scientific consensus that increasing pressures from climate change, overfishing, and land-based pollution will virtually assure the continued, and perhaps accelerating, decline of Hawaiʻi’s coral reefs unless action is taken. Information presented in this report, coupled with the results of numerous scientific studies, provides scientific underpinning to help establish a network of large-scale, connected Marine Protected Areas to meet the Federal and State governments’ call for effective management and protection of coral reefs in Maui Nui.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191019","usgsCitation":"Field, M.E., Storlazzi, C.D., Gibbs, A.E., D’Antonio, N.L., and Cochran, S.A, 2019, The major coral reefs of Maui Nui, Hawai‘i—Distribution, physical characteristics, oceanographic controls, and environmental threats: U.S. Geological Survey Open-File Report 2019–1019, 71 p., https://doi.org/10.3133/ofr20191019.","productDescription":"Report: vi, 71 p.","numberOfPages":"80","onlineOnly":"Y","ipdsId":"IP-096402","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":365042,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1019/ofr20191019.pdf","text":"Report","size":"31 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2019-1019"},{"id":365041,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1019/coverthb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Maui Nui","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -157.5439453125,\n 20.33432561683554\n ],\n [\n -155.6982421875,\n 20.33432561683554\n ],\n [\n -155.6982421875,\n 21.49396356306447\n ],\n [\n -157.5439453125,\n 21.49396356306447\n ],\n [\n -157.5439453125,\n 20.33432561683554\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Contact Information,
Pacific Coastal and Marine Science Center
U.S. Geological Survey
Pacific Science Center
2885 Mission St.
Santa Cruz, CA 95060