Dauphin Island, Alabama, is a barrier island located in the northern Gulf of Mexico that supports local residences, tourism, commercial infrastructure, and historic Fort Gaines. During the past decade, Dauphin Island was affected by several major hurricanes—Hurricanes Ivan (2004), Katrina (2005), and Isaac (2012)—and storms, along with sea-level rise, continue to present a threat to island stability. State and Federal managers are using a scientific approach to identify, formulate, and implement a long-term plan to provide restoration options for Dauphin Island, thereby helping increase its resilience against future storms and sea-level rise. Island morphology, including current bathymetry and shoreline data, is one scientific domain being investigated in an effort to produce a comprehensive restoration plan funded by an interagency grant from the National Fish and Wildlife Foundation Gulf Environmental Benefit Fund.
In August 2015, the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), in cooperation with the U.S. Army Corps of Engineers at the U.S. Army Engineer Research and Development Center, Mobile District, and the State of Alabama, conducted bathymetric surveys of the nearshore waters surrounding Dauphin Island. This report provides a detailed methodology for the data acquisition and post-processing of 1,165-line kilometers (km) of single-beam bathymetry data collected under the USGS–SPCMSC Alabama Barrier Island Restoration Study. These data were acquired and processed under USGS field activity number 2015–326–FA. Data are provided in three datums: (1) the International Terrestrial Reference Frame of 2000, ellipsoid height (from –47.04 meters (m) to –29.36 m); (2) the North American Datum of 1983, CORS96 realization (NAD83 (CORS96)) horizontal, and the North American Vertical Datum 1988 GEOID12A vertical (from –0.24 m to –17.33 m); and (3) NAD83 (CORS96) horizontal, and mean lower low water vertical (from –0.12 m to –17.93 m). The x,y,z point datasets, trackline shapefiles, digital and handwritten Field Activity Collection Systems logs, one 50-m digital elevation model, and formal Federal Geographic Data Committee metadata are obtainable from the Data Downloads page or the associated USGS data release.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1095","usgsCitation":"DeWitt, N.T., Stalk, C.A., Flocks, J.G., Bernier, J.C., Kelso, K.W., Fredericks, J.J., and Tuten, T.M., 2018, Nearshore single-beam bathymetry data collected in 2015, Dauphin Island, Alabama: U.S. Geological Survey Data Series 1095, https://doi.org/10.3133/ds1095.","productDescription":"Report: HTML; Data release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-090788","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":358117,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1095/coverthb.jpg"},{"id":358118,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1095/index.html","text":"Report HTML","linkFileType":{"id":5,"text":"html"},"description":"DS 1095"},{"id":358119,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7BZ648W","text":"USGS data release","description":"USGS data release","linkHelpText":"Single-beam bathymetry data collected in 2015 nearshore Dauphin Island, Alabama"}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.38706970214844,\n 30.194992169502903\n ],\n [\n -88.05061340332031,\n 30.194992169502903\n ],\n [\n -88.05061340332031,\n 30.292274851024256\n ],\n [\n -88.38706970214844,\n 30.292274851024256\n ],\n [\n -88.38706970214844,\n 30.194992169502903\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
600 4th St. S.
St. Petersburg, FL 33701
The Edwards and Trinity aquifers are classified as major aquifers by the Texas Water Development Board and are major sources of water in south-central Texas, where Hays County is located. Detailed maps and descriptions of the geologic framework and hydrostratigraphic units (HSUs) of these karstic aquifers in Hays County are needed for water managers to effectively manage groundwater resources in the area. During 2016–18, the U.S. Geological Survey, in cooperation with the Edwards Aquifer Authority, documented the geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers for a large part of Hays County, characterizing approximately 560 square miles of the county. The report includes a 1:24,000-scale hydrostratigraphic map and descriptions of the geology and HSUs in the study area. In addition, parts of the adjacent upper confining unit to the Edwards aquifer are described.
The rocks exposed within the study area are within outcrops of the Trinity and Edwards Groups and the overlying Washita, Eagle Ford, Austin, and Taylor Groups. The rocks are sedimentary and formed during the Cretaceous age. The principal structural feature in Hays County is the Balcones fault zone, which is the result of late Oligocene and early Miocene age high-angle normal faulting and fracturing. Hydrostratigraphically, the exposed rocks represent a section of the upper confining unit to the Edwards aquifer, the Edwards aquifer, the upper zone of the Trinity aquifer, the middle zone of the Trinity aquifer, and the upper part of the lower zone of the Trinity aquifer. Complexity in the aquifer system results from a combination of the original depositional history, bioturbation, primary and secondary porosity, diagenesis, fracturing, and faulting.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3418","collaboration":"Prepared in cooperation with the Edwards Aquifer Authority","usgsCitation":"Clark, A.K., Pedraza, D.E., and Morris, R.R., 2018, Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within Hays County, Texas: U.S. Geological Survey Scientific Investigations Map 3418, 1 sheet, scale 1:24,000, pamphlet, https://doi.org/10.3133/sim3418.","productDescription":"Sheet: 48.0 x 36.0 inches; Pamphlet: vi, 11 p.; Data Release","onlineOnly":"N","ipdsId":"IP-095828","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":358200,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3418/coverthb3.jpg"},{"id":358202,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3418/sim3418_pamphlet.pdf","text":"Pamphlet","size":"2.75 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3418 Pamphlet"},{"id":358203,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IEJHMH","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Geospatial Dataset of the Geologic Framework and Hydrostratigraphy of the Edwards and Trinity Aquifers within Hays County, Texas at 1:24,000 scale"},{"id":358201,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3418/sim3418.pdf","text":"Sheet","size":"137 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3418"}],"country":"United States","state":"Texas","county":"Hays County","otherGeospatial":"Edwards Aquifer, Trinity Aquifer","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-98.2986,30.0395],[-98.2197,30.2335],[-98.1793,30.3395],[-98.1732,30.356],[-97.7131,30.0229],[-97.7659,29.9791],[-97.7763,29.9679],[-97.7891,29.9599],[-97.7995,29.9459],[-97.8161,29.9371],[-97.8599,29.91],[-97.897,29.8819],[-97.9008,29.8554],[-97.8966,29.8558],[-97.8934,29.8566],[-97.8924,29.8575],[-97.8918,29.8584],[-97.8907,29.8598],[-97.8902,29.8612],[-97.8896,29.8616],[-97.888,29.8625],[-97.8838,29.8615],[-97.8786,29.8591],[-97.9354,29.8185],[-97.9478,29.8091],[-97.9823,29.7726],[-97.9996,29.7537],[-98.0389,29.8493],[-98.1102,29.9036],[-98.2986,30.0395]]]},\"properties\":{\"name\":\"Hays\",\"state\":\"TX\"}}]}","contact":"Director, Texas Water Science Center
U.S. Geological Survey
505 Ferguson Lane
Austin, Texas 78754–4501
Lead mining first began in the Big River watershed during the 1700s. Lead was the primary metal mined throughout most of the 1700s and early 1800s and it continued to be mined until the mid-1900s. Barite mining began in the middle part of the watershed in the mid- to late 1800s. Although considerable attention has been given to concentrations of miningrelated trace elements (mostly cadmium, lead, and zinc) in the Big River and its tributaries draining the Old Lead Belt, there is less information regarding concentrations of mining-related trace elements in tributaries draining the Barite District in southeast Missouri, which is downstream from the Old Lead Belt, and the contribution of sediment transported from this district to trace elements in lower reaches of the Big River. The purpose of this report is to present results of an investigation of the distribution of mining-related trace elements in sediments in the middle reach of the Big River downstream from the Old Lead Belt and the Big River tributaries that drain a large part of the Barite District.
In general, concentrations of cadmium and lead in streambed sediment were largest in samples from the Big River and smallest in Barite District tributary samples. Concentrations of zinc were somewhat similar in the Big River and Barite District tributaries; however, higher concentrations were present in upstream Big River site samples, as well as in samples from one site on Maddin Creek and at another site on Old Mines Creek that drains the Barite District. Barium concentrations were considerably larger in samples from Barite District tributaries compared to samples collected on the Big River. Samples collected downstream from the Barite District on the Big River had considerably larger barium concentrations than samples collected upstream from the Barite District.
Flood-plain core samples were collected from 26 cores at 5 transect locations along tributaries in the Barite District. Of the individual 693 bulk (unsieved) samples from these cores analyzed by x-ray fluorescence, the probable effects concentration (PEC) values were exceeded for cadmium (PEC of 4.98 milligrams per kilogram [mg/kg], 218 samples), lead (PEC of 128 mg/kg, 91 samples), nickel (PEC of 48.6 mg/kg, 45 samples), and zinc (PEC of 459 mg/kg, 77 samples). Of the 693 samples, 21 exceeded the U.S. Environmental Protection Agency residential yard cleanup level of 400 mg/kg for lead; 19 of these were samples from a single transect near the mouth of Mineral Fork Creek where its flood plain joins the Big River flood plain.
Shortly after the December 2015 flood on the Big River (the third largest flood along the river since the 1950s), 23 samples of fine sediment deposited from the flood were collected from the Big River flood plain upstream and downstream from the Barite District and several tributaries. Overall, the general pattern of barium, lead, and zinc concentrations in the 2015 flood sediment samples was similar to that observed in the streambed-sediment samples.
Overall concentrations of barium were larger at Big River sites downstream from the Barite District, and cadmium, lead, and zinc concentrations were generally similar or smaller at sites downstream from the Barite District when compared to sites upstream from the Barite District. These data indicate a substantial influx of barium from the Barite District into the Big River but only a minimal influx of cadmium, lead, and zinc.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185103","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Smith, D.C., and Schumacher, J.G., 2018, Distribution of mining-related trace elements in streambed and flood-plain sediment along the middle Big River and tributaries in the Southeast Missouri Barite District, 2012–15: U.S. Geological Survey Scientific Investigations Report 2018–5103, 89 p., https://doi.org/10.3133/sir20185103.","productDescription":"Report: vii, 89 p.; Data Release","numberOfPages":"102","onlineOnly":"Y","ipdsId":"IP-090502","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":357852,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5103/sir20185103.pdf","text":"Report","size":"4.85 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5103"},{"id":357851,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5103/coverthb2.jpg"},{"id":357853,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OFYN3C","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Concentrations of Major and Trace Elements in Streambed and Floodplain Sediment along the Middle Big River and Tributaries in the Southeast Missouri Barite District and in Quality-Assurance Samples, 2012–15"}],"country":"United States","state":"Missouri","otherGeospatial":"Middle Big River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91,\n 37.5\n ],\n [\n -90,\n 37.5\n ],\n [\n -90,\n 38.5\n ],\n [\n -91,\n 38.5\n ],\n [\n -91,\n 37.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401
The hydrodynamics of a tidally forced semi‐enclosed coral reef atoll (North Scott) at the edge of the continental shelf of northwestern Australia were investigated by combining field observations and numerical modeling. The observations revealed that the spring tidal range outside the atoll reaches 4 m, and as the water level drops below mean sea level, the reef rim surrounding the shallow (~10–15 m) lagoon becomes exposed. During this time, the lagoon can only exchange with the open ocean through two narrow channels, resulting in highly asymmetric water levels and velocities that were most pronounced during spring tide. On average, the ebb tide duration was ~2 hr longer than the flood, with rapid flood velocities in the channel reaching 2 m/s. We applied an unstructured grid model Delft3D‐Flexible Mesh to simulate the atoll hydrodynamics and were able to replicate the asymmetric water levels and complex velocities in the lagoon. The results revealed that at higher tidal stages, a dominant momentum balance exists between the pressure gradient (established by the propagation of the tide on the shelf) and the local flow acceleration of water throughout the interior of the atoll. At lower tidal stages, which coincided with a reversal of the offshore tidal pressure gradient, the lagoon became isolated from offshore dynamics and all momentum terms were negligible. This resulted in a tidally averaged residual westward flow within the lagoon that drove an asymmetric flushing pattern within the atoll, which we propose would be a common flushing mechanism within other tide‐dominated atolls worldwide.
","language":"English","publisher":"AGU","doi":"10.1029/2018JC013946","usgsCitation":"Green, R.H., Lowe, R.J., and Buckley, M.L., 2018, Hydrodynamics of a tidally‐forced coral reef atoll: Journal of Geophysical Research C: Oceans, v. 123, no. 10, p. 7084-7101, https://doi.org/10.1029/2018JC013946.","productDescription":"18 p.","startPage":"7084","endPage":"7101","ipdsId":"IP-095615","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468331,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jc013946","text":"Publisher Index Page"},{"id":358199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 122,\n -14.05\n ],\n [\n 121.8,\n -14.05\n ],\n [\n 121.8,\n -13.9\n ],\n [\n 122,\n -13.9\n ],\n [\n 122,\n -14.05\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"123","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-08","publicationStatus":"PW","scienceBaseUri":"5bc02f77e4b0fc368eb53839","contributors":{"authors":[{"text":"Green, Rebecca H.","contributorId":208503,"corporation":false,"usgs":false,"family":"Green","given":"Rebecca","email":"","middleInitial":"H.","affiliations":[{"id":24588,"text":"The University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":747469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowe, Ryan J.","contributorId":152265,"corporation":false,"usgs":false,"family":"Lowe","given":"Ryan","email":"","middleInitial":"J.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":747470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buckley, Mark L. 0000-0002-1909-4831","orcid":"https://orcid.org/0000-0002-1909-4831","contributorId":203481,"corporation":false,"usgs":true,"family":"Buckley","given":"Mark","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":747468,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70199996,"text":"70199996 - 2018 - Downhole log evidence for the coexistence of structure II gas hydrate and free gas below the bottom simulating reflector in the South China Sea","interactions":[],"lastModifiedDate":"2018-10-10T10:06:27","indexId":"70199996","displayToPublicDate":"2018-10-09T10:03:02","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Downhole log evidence for the coexistence of structure II gas hydrate and free gas below the bottom simulating reflector in the South China Sea","docAbstract":"Stratigraphic layered pore-filling gas hydrates are identified above the bottom simulating reflector (BSR) using the well log and core data acquired at Sites W11 and W17 during the third gas hydrate drilling expedition conducted by China's Geological Survey/Guangzhou Marine Geological Survey (GMGS3) in the South China Sea. A seismic profile near Site W17, reveal the presence of two BSRs (i.e., double BSR), which we show to relate to zones of structure I gas hydrate (I-BSR) and structure II gas hydrate (II-BSR). Well log data from Site W17 between the “I-BSR” (projected depth of 250 mbsf) and “II-BSR” (projected depth of 330 mbsf) showed anomalous responses for gas hydrate-bearing sediments with high resistivity, high S-wave velocity, and alternating high and low P-wave velocities. Pressure core data support the interpretation that structure II gas hydrate occurs at a depth of 263 mbsf at Site W17. The cross-plot between log-derived neutron and density porosities reveals a free gas-bearing layer at a depth of 258–270 mbsf, suggesting gas hydrate coexists with free gas between the “I-BSR” and the “II-BSR.” Synthetic seismograms generated from the P-wave velocity and density logs further support the presence of free gas in this section. Based on the coexistence of hydrate, free gas and water, the simplified three-phase equation (STPE) was modified to simultaneously estimate free gas and hydrate saturations beneath the “I-BSR” from P-wave and S-wave velocity logs, assuming uniform or patchy distributions of free gas. The estimated free gas and hydrate saturations, together with gas compositions from pressure core samples, collectively indicate that structure II gas hydrate and free gas are interbedded and coexist below the “I-BSR” at Site W17. Our study of the coexistence of gas hydrate and free gas between the double BSR at Site W17 provides new insights into gas hydrate systems in nature that contain more complex gas chemistries.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2018.09.024","usgsCitation":"Qian, J., Wang, X., Collett, T.S., Guo, Y., Kang, D., and Jin, J., 2018, Downhole log evidence for the coexistence of structure II gas hydrate and free gas below the bottom simulating reflector in the South China Sea: Marine and Petroleum Geology, v. 98, p. 662-674, https://doi.org/10.1016/j.marpetgeo.2018.09.024.","productDescription":"13 p.","startPage":"662","endPage":"674","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":358236,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"South China Sea","volume":"98","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02f78e4b0fc368eb5383f","contributors":{"authors":[{"text":"Qian, Jin","contributorId":208554,"corporation":false,"usgs":false,"family":"Qian","given":"Jin","email":"","affiliations":[],"preferred":false,"id":747680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Xiujuan","contributorId":87071,"corporation":false,"usgs":true,"family":"Wang","given":"Xiujuan","affiliations":[],"preferred":false,"id":747681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":747682,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guo, Yiqun","contributorId":195860,"corporation":false,"usgs":false,"family":"Guo","given":"Yiqun","email":"","affiliations":[],"preferred":false,"id":747683,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kang, Dongju","contributorId":208555,"corporation":false,"usgs":false,"family":"Kang","given":"Dongju","email":"","affiliations":[],"preferred":false,"id":747684,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jin, Jiapeng","contributorId":208556,"corporation":false,"usgs":false,"family":"Jin","given":"Jiapeng","email":"","affiliations":[],"preferred":false,"id":747685,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70215776,"text":"70215776 - 2018 - Diet and condition of age‐0 Scaphirhynchus Sturgeon: Implications for shallow‐water habitat restoration","interactions":[],"lastModifiedDate":"2022-01-31T13:17:04.034103","indexId":"70215776","displayToPublicDate":"2018-10-05T17:05:32","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Diet and condition of age‐0 Scaphirhynchus Sturgeon: Implications for shallow‐water habitat restoration","title":"Diet and condition of age‐0 Scaphirhynchus Sturgeon: Implications for shallow‐water habitat restoration","docAbstract":"Insufficient food during early life could limit the population growth of endangered Pallid Sturgeon Scaphirhynchus albus in the lower Missouri River. Shallow‐water habitat restoration is intended to provide nursery benefits, including food, for young sturgeon, but the effect of shallow‐water habitat on their diet is unknown. Age‐0 Pallid Sturgeon are rare, providing little opportunity for direct evaluation; however, studying the closely related and abundant Shovelnose Sturgeon S. platorynchus may provide valuable information to guide habitat restoration efforts. We compared diet, body condition (lipid content), and change in body weight (24‐h bioenergetics simulation) for postdrift, age‐0 sturgeon among five reaches ranging widely in shallow‐water habitat availability. Lipid content of satiated and emaciated laboratory‐reared individuals were compared with that of wild‐caught fish. In general, shallow‐water habitat availability appeared to have little effect on the variables examined. Regardless of reach, wild‐caught fish primarily consumed chironomids, and empty stomachs were rare. Additionally, differences in prey weight, lipid content, or the modeled change in body weight did not usually correspond to differences in shallow‐water habitat availability. Instead, we found annual differences, as prey weight consumed and the percentage of fish with modeled weight gain was often higher in 2015 than 2014, while the opposite was true for the percentage of fish with lipid content values that were comparable with the emaciated laboratory standard. Overall, our findings complement recent suggestions that shallow‐water habitat restoration efforts, as previously implemented, may not benefit sturgeon populations. Our results coupled with previous research suggest that the lower Missouri River prey base can support a stable Shovelnose Sturgeon population; however, additional research is needed to determine whether this applies to Pallid Sturgeon.
","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10236","usgsCitation":"Civiello, A.P., Gosch, N., Gemeinhardt, T., Miller, M., Bonneau, J., Chojnacki, K., Delonay, A.J., and Long, J.M., 2018, Diet and condition of age‐0 Scaphirhynchus Sturgeon: Implications for shallow‐water habitat restoration: North American Journal of Fisheries Management, v. 38, no. 6, p. 1324-1338, https://doi.org/10.1002/nafm.10236.","productDescription":"15 p.","startPage":"1324","endPage":"1338","ipdsId":"IP-090944","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":468332,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10236","text":"Publisher Index Page"},{"id":379943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Missouri River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.658203125,\n 38.151837403006766\n ],\n [\n -90.3076171875,\n 38.151837403006766\n ],\n [\n -90.3076171875,\n 39.57182223734374\n ],\n [\n -94.658203125,\n 39.57182223734374\n ],\n [\n -94.658203125,\n 38.151837403006766\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"38","issue":"6","noUsgsAuthors":false,"publicationDate":"2018-10-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Civiello, A. 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U.S. Geological Survey
520 N. Park Avenue
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Large-scale climatic forcing is impacting oceanic biogeochemical cycles and is expected to influence the water-column distribution of trace gases, including methane and nitrous oxide. Our ability as a scientific community to evaluate changes in the water-column inventories of methane and nitrous oxide depends largely on our capacity to obtain robust and accurate concentration measurements that can be validated across different laboratory groups. This study represents the first formal international intercomparison of oceanic methane and nitrous oxide measurements whereby participating laboratories received batches of seawater samples from the subtropical Pacific Ocean and the Baltic Sea. Additionally, compressed gas standards from the same calibration scale were distributed to the majority of participating laboratories to improve the analytical accuracy of the gas measurements. The computations used by each laboratory to derive the dissolved gas concentrations were also evaluated for inconsistencies (e.g., pressure and temperature corrections, solubility constants). The results from the intercomparison and intercalibration provided invaluable insights into methane and nitrous oxide measurements. It was observed that analyses of seawater samples with the lowest concentrations of methane and nitrous oxide had the lowest precisions. In comparison, while the analytical precision for samples with the highest concentrations of trace gases was better, the variability between the different laboratories was higher: 36 % for methane and 27 % for nitrous oxide. In addition, the comparison of different batches of seawater samples with methane and nitrous oxide concentrations that ranged over an order of magnitude revealed the ramifications of different calibration procedures for each trace gas. Finally, this study builds upon the intercomparison results to develop recommendations for improving oceanic methane and nitrous oxide measurements, with the aim of precluding future analytical discrepancies between laboratories.
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The diatom assemblages from fourteen sediment samples collected from marginal and profundal zones of seven lakes in the Ruby Mountains and East Humboldt Range of northeastern Nevada are characterized in order to identify the factors affecting controlling species diversity, equitability, and assemblage structure. Principle component analysis delineates three depth-controlled diatom assemblages: shallow (~1), medium (~11 m), and deep (>12 m). The shallowest samples are characterized by a diverse benthic assemblage, the medium depth sample is dominated by small fragilarioid taxa, and, the deepest samples, while not dominated by planktonic species, show an increase in their abundance. 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Locks and dams positioned along affected waterways, specifically lock chambers, are being evaluated as potential management sites to prevent further expansion into new areas. Recent research has shown that infusion of chemicals (e.g., carbon dioxide) into water can block or kill several invasive organisms and could be a viable option at navigational structures such as lock chambers because chemical infusion would not interfere with vessel passage or lock operation. Chemical treatments near lock structures will require large-scale fluid-mechanic systems and significant energy. Mixing must extend to all stagnation regions within a lock structure to prevent the passage of an invasive fish. This work describes the performance of both wall- and floor-based CO2-infused-water to water injection manifolds targeted for lock structures in terms of mixing time, mixing homogeneity, injection efficiency, and operational power requirements. Both systems have strengths and weaknesses so selection recommendations are given for applications such as open systems and closed systems.
","language":"English","publisher":"ASME","doi":"10.1115/1.4041361","usgsCitation":"Zolper, T.J., Cupp, A.R., and Smith, D.L., 2018, Investigating the mixing efficiencies of liquid-to-liquid chemical injection manifolds for aquatic invasive species management: Journal of Fluids Engineering, v. 141, no. 3, p. 1-14, https://doi.org/10.1115/1.4041361.","productDescription":"Article 031302; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-091100","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":437722,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93J4EQ8","text":"USGS data release","linkHelpText":"Investigating the mixing efficiencies of liquid-to-liquid chemical injection manifolds for aquatic invasive species management:Data"},{"id":358968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"141","issue":"3","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-04","publicationStatus":"PW","scienceBaseUri":"5c10a92fe4b034bf6a7e5059","contributors":{"authors":[{"text":"Zolper, Thomas J.","contributorId":210258,"corporation":false,"usgs":false,"family":"Zolper","given":"Thomas","email":"","middleInitial":"J.","affiliations":[{"id":38093,"text":"University of Wisconsin - Platteville","active":true,"usgs":false}],"preferred":false,"id":750289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":750288,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, David L.","contributorId":192711,"corporation":false,"usgs":false,"family":"Smith","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":750290,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70199923,"text":"70199923 - 2018 - Chronic toxicity of 4-nonylphenol to two unionid mussels in water-only exposures","interactions":[],"lastModifiedDate":"2018-10-04T10:46:08","indexId":"70199923","displayToPublicDate":"2018-10-04T10:46:04","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1103,"text":"Bulletin of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Chronic toxicity of 4-nonylphenol to two unionid mussels in water-only exposures","docAbstract":"Limited studies indicate that mussels are generally insensitive to organic chemicals; however, these studies were conducted in acute or short-term exposures, and little is known about the chronic sensitivity of mussels to organic chemicals. We evaluated the chronic (28 days) toxicity of 4-nonylphenol (4-NP) to two commonly tested species of mussels: fatmucket (Lampsilis siliquoidea) and rainbow mussel (Villosa iris). By the end of the 28 days chronic exposures, mean survival was ≥93% in all treatments, but the mean dry weight and biomass of mussels at the highest exposure concentrations were significantly reduced relative to the control. The 20% effect concentrations were similar between the two species. When compared to all other tested species, fatmucket and rainbow mussels are among the top four most sensitive species to 4-NP. However, U.S. Environmental Protection Agency chronic water quality criterion of 6.6 μg 4-NP/L should protect the two mussel species.
","language":"English","publisher":"Springer","doi":"10.1007/s00128-018-2422-5","usgsCitation":"Ivey, C.D., Wang, N., Alvarez, D., Hammer, E.J., and Bauer, C.R., 2018, Chronic toxicity of 4-nonylphenol to two unionid mussels in water-only exposures: Bulletin of Environmental Contamination and Toxicology, v. 101, no. 4, p. 423-427, https://doi.org/10.1007/s00128-018-2422-5.","productDescription":"5 p.","startPage":"423","endPage":"427","ipdsId":"IP-098145","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":437723,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R5MQJO","text":"USGS data release","linkHelpText":"Chronic toxicity of 4-Nonylphenol to two unionid mussels in water-only exposures-metadata"},{"id":358132,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-21","publicationStatus":"PW","scienceBaseUri":"5bc02f7be4b0fc368eb53855","contributors":{"authors":[{"text":"Ivey, Chris D. 0000-0002-0485-7242 civey@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-7242","contributorId":3308,"corporation":false,"usgs":true,"family":"Ivey","given":"Chris","email":"civey@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":747310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":747311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alvarez, David 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":150499,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":747312,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hammer, Edward J.","contributorId":150723,"corporation":false,"usgs":false,"family":"Hammer","given":"Edward","email":"","middleInitial":"J.","affiliations":[{"id":18077,"text":"U. S. Environmental Protection Agency, Region 5, Water Quality Branch, Chicago, Illinois","active":true,"usgs":false}],"preferred":false,"id":747313,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bauer, Candice R.","contributorId":150724,"corporation":false,"usgs":false,"family":"Bauer","given":"Candice","email":"","middleInitial":"R.","affiliations":[{"id":18077,"text":"U. S. Environmental Protection Agency, Region 5, Water Quality Branch, Chicago, Illinois","active":true,"usgs":false}],"preferred":false,"id":747314,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70199930,"text":"70199930 - 2018 - Regional patterns in the geochemistry of oil-field water, southern San Joaquin Valley, California, USA","interactions":[],"lastModifiedDate":"2018-10-04T10:31:11","indexId":"70199930","displayToPublicDate":"2018-10-04T10:31:04","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Regional patterns in the geochemistry of oil-field water, southern San Joaquin Valley, California, USA","docAbstract":"Chemical and isotopic data for water co-extracted with hydrocarbons in oil and gas fields are commonly used to examine the source of the formation water and possible impacts on groundwater in areas of oil and gas development. Understanding the geochemical variability of oil-field water could help to evaluate its origin and delineate possible contamination of shallow aquifers in cases where oil-field water is released to the environment. Here we report geochemical and multiple isotope (H, C, O, Sr, Ra) data from 22 oil wells, three sources of produced water that are disposed of in injection wells, and two surface disposal ponds in four oil fields in the southern San Joaquin Valley, California (Fruitvale, Lost Hills, North and South Belridge). Correlations between Cl and δ18O, as well as other ions, and gradual increases in salinity with depth, indicate dilution of one or more saline end-members by meteoric water. The saline end-members, represented by deep samples (610 m–2621 m) in three oil-bearing zones, are characterized by NaCl composition, near-seawater Cl concentrations (median 20,000 mg/L), enriched δ18O
H2O (median 3.4‰), high ammonium(up to 460 mg-N/L), and relatively high radium activity (226Ra+228Ra = 12.3 Bq/L). The deepest sample has low Na/Cl (0.74), high Ca/Mg (5.0), and low 87Sr/86Sr (0.7063), whereas the shallower samples have higher Na/Cl (0.86–1.2), Ca/Mg near 1, and higher 87Sr/86Sr (∼0.7083). The data are consistent with an original seawater source being modified by various depth and lithology dependent diagenetic processes. Dilution by meteoric water occurs naturally on the east side of the valley, and in association with water-injectionactivities on the west side. Meteoric-water flushing, particularly on the east side, results in lower solute concentrations (minimum total dissolved solids 2730 mg/L) and total radium (minimum 0.27 Bq/L) in oil-field water, and promotes biodegradation of dissolved organic carbon and hydrocarbon gases like propane. Acetate concentrations and δ13C of dissolved inorganic carbon indicate biogenic methane production occurs in some shallow oil zones. Natural and human processes produce substantial variability in the geochemistry of oil-field water that should be considered when evaluating mixing between oil-field waters and groundwater. The variability could result in uncertainty as to detecting the potential source and impact of oil-field water on groundwater.
Floods in the Mississippi basin can have large negative societal, natural, and economic impacts. Understanding the drivers of floods, now and in the future, is relevant for risk management and infrastructure-planning purposes. We investigate the drivers of 100-yr-return lower Mississippi River floods using a global coupled climate model with an integrated surface water module. The model provides 3400 years of physically consistent data from a static climate, in contrast to available observational data (relatively short records, incomplete land surface data, transient climate). In the months preceding the model’s 100-yr floods, as indicated by extreme monthly discharge, above-average rain and snowfall lead to moist subsurface conditions and the buildup of snowpack, making the river system prone to these major flooding events. The meltwater from snowpack in the northern Missouri and upper Mississippi catchments primes the river system, sensitizing it to subsequent above-average precipitation in the Ohio and Tennessee catchments. An ensemble of transient forcing experiments is used to investigate the impacts of past and projected anthropogenic climate change on extreme floods. There is no statistically significant projected trend in the occurrence of 100-yr floods in the model ensemble, despite significant increases in extreme precipitation, significant decreases in extreme snowmelt, and significant decreases in less extreme floods. The results emphasize the importance of considering the fully coupled land–atmosphere system for extreme floods. This initial analysis provides avenues for further investigation, including comparison to characteristics of less extreme floods, the sensitivity to model configuration, the role of human water management, and implications for future flood-risk management.
","language":"English","publisher":"American Meteorological Society","doi":"10.1175/JHM-D-18-0018.1","usgsCitation":"van der Wiel, K., Kapnick, S.B., Vecchi, G.A., Smith, J.A., Milly, P.C., and Jia, L., 2018, 100-year lower Mississippi floods in a global climate model: Characteristics and future changes: Journal of Hydrometeorology, v. 19, p. 1547-1563, https://doi.org/10.1175/JHM-D-18-0018.1.","productDescription":"17 p.","startPage":"1547","endPage":"1563","ipdsId":"IP-092375","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":358547,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-03","publicationStatus":"PW","scienceBaseUri":"5c10a92fe4b034bf6a7e505b","contributors":{"authors":[{"text":"van der Wiel, Karin","contributorId":209883,"corporation":false,"usgs":false,"family":"van der Wiel","given":"Karin","email":"","affiliations":[{"id":16158,"text":"Royal Netherlands Meteorological Institute","active":true,"usgs":false}],"preferred":false,"id":749019,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kapnick, Sarah B.","contributorId":189908,"corporation":false,"usgs":false,"family":"Kapnick","given":"Sarah","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":749020,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vecchi, Gabriel A.","contributorId":209884,"corporation":false,"usgs":false,"family":"Vecchi","given":"Gabriel","email":"","middleInitial":"A.","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":749021,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, James A.","contributorId":209885,"corporation":false,"usgs":false,"family":"Smith","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":749022,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Milly, Paul C. D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":176836,"corporation":false,"usgs":true,"family":"Milly","given":"Paul","email":"cmilly@usgs.gov","middleInitial":"C. D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":749018,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jia, Liwei","contributorId":209886,"corporation":false,"usgs":false,"family":"Jia","given":"Liwei","email":"","affiliations":[{"id":38020,"text":"NOAA/NWS/NCEP Climate Prediction Center","active":true,"usgs":false}],"preferred":false,"id":749023,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70199845,"text":"sim3415 - 2018 - Altitude of the potentiometric surface, 2000–15, and historical water-level changes in the Memphis aquifer in the Memphis area, Tennessee","interactions":[],"lastModifiedDate":"2018-10-03T12:35:51","indexId":"sim3415","displayToPublicDate":"2018-10-02T15:04:09","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3415","title":"Altitude of the potentiometric surface, 2000–15, and historical water-level changes in the Memphis aquifer in the Memphis area, Tennessee","docAbstract":"The Memphis and Fort Pillow aquifers are the principal sources of water for municipal, industrial, and commercial uses in the Memphis area. About 207 million gallons per day of groundwater were withdrawn in Shelby County, Tennessee, from both aquifers in 2010 for these uses, with most of the water coming from the Memphis aquifer. The U.S. Geological Survey, in cooperation with the City of Memphis, Memphis Light, Gas and Water Division, collects groundwater-level data in the Memphis area and periodically prepares potentiometric-surface maps for the Memphis aquifer to assess conditions in this regionally important water supply aquifer. This report presents the altitudes of the potentiometric surface of water in wells screened in the Memphis aquifer based on water-level measurements made in the fall of 2000, 2005, 2010, and 2015 and describes historical water-level changes in the Memphis aquifer at key observation wells in the Memphis area. The Memphis area is about 1,500 square miles and includes all of Shelby County and parts of Tipton and Fayette Counties in Tennessee, parts of DeSoto and Marshall Counties in Mississippi, and part of Crittenden County in Arkansas.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3415","collaboration":"Prepared in cooperation with the City of Memphis, Memphis Light, Gas and Water Division","usgsCitation":"Kingsbury, J.A., 2018, Altitude of the potentiometric surface, 2000–15, and historical water-level changes in the Memphis aquifer in the Memphis area, Tennessee: U.S. Geological Survey Scientific Investigations Map 3415, 1 sheet, https://doi.org/10.3133/sim3415.","productDescription":"Sheet: 41.5 x 37.0 inches; Figures: 5","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-084162","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":357999,"rank":5,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sim/3415/sim3415_fig03.pdf","text":"Figure 3.","size":"320 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3415 Figure 3","linkHelpText":"Altitude of the potentiometric surface of the Memphis aquifer in the Memphis area, Tennessee, October and November 2010."},{"id":358000,"rank":6,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sim/3415/sim3415_fig04.pdf","text":"Figure 4.","size":"510 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3415 Figure 4","linkHelpText":"Altitude of the potentiometric surface of the Memphis aquifer in the Memphis area, Tennessee, October and November 2015."},{"id":358023,"rank":7,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sim/3415/sim3415_fig05.pdf","text":"Figure 5.","size":"216 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3415 Figure 5","linkHelpText":"Historical water-level changes in selected Memphis aquifer wells located away from well fields."},{"id":357995,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3415/coverthb2.jpg"},{"id":357996,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3415/sim3415.pdf","text":"Map","size":"1.19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3415"},{"id":357997,"rank":3,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sim/3415/sim3415_fig01.pdf","text":"Figure 1.","size":"324 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3415 Figure 1","linkHelpText":"Altitude of the potentiometric surface of the Memphis aquifer in the Memphis area, Tennessee, October 2000."},{"id":357998,"rank":4,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sim/3415/sim3415_fig02.pdf","text":"Figure 2.","size":"321 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3415 Figure 2","linkHelpText":"Altitude of the potentiometric surface of the Memphis aquifer in the Memphis area, Tennessee, September and October 2005."}],"country":"United States","state":"Tennessee","city":"Memphis","otherGeospatial":"Memphis Aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.25,\n 35\n ],\n [\n -89.5,\n 35\n ],\n [\n -89.5,\n 35.5\n ],\n [\n -90.25,\n 35.5\n ],\n [\n -90.25,\n 35\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Lower Mississippi-Gulf Water Science Center—Tennessee
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211
To improve ability to detect white sharks without the need for tags, or visual census, we developed a species-specific environmental DNA (eDNA) assay that targets a 163 bp fragment of the white shark (Carcharodon carcharias) mitochondrial cytochrome B gene on a digital droplet PCR (ddPCR) platform. We used this marker to detect white shark DNA in 250 ml water samples taken from across two sites in Santa Barbara, California (United States) frequented by juvenile white sharks. We did not detect white shark DNA in samples from two neighboring sites where sharks are presumably absent, suggesting that eDNA can indicate nearby white sharks. This marker development, testing, and opportunistic application in a region with known distributions of white sharks indicates that eDNA could be developed further to monitor white sharks, thereby informing conservation planning and public safety. With the potential increase in white shark populations due to decades of protection, there is a need for fishery independent methods for assessing white shark distributions, and eDNA may provide an ideal, non-intrusive tool for coastal assessments.
","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2018.00355","usgsCitation":"Lafferty, K.D., Benesh, K.C., Mahon, A.R., Jerde, C.L., and Lowe, C.G., 2018, Detecting southern California’s white sharks with environmental DNA: Frontiers in Marine Science, v. 5, p. 1-6, https://doi.org/10.3389/fmars.2018.00355.","productDescription":"Article 355; 6 p.","startPage":"1","endPage":"6","ipdsId":"IP-097108","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468341,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2018.00355","text":"Publisher Index Page"},{"id":359045,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.28106689453125,\n 34.279914398549934\n ],\n [\n -119.36645507812499,\n 34.279914398549934\n ],\n [\n -119.36645507812499,\n 34.52466147177172\n ],\n [\n -120.28106689453125,\n 34.52466147177172\n ],\n [\n -120.28106689453125,\n 34.279914398549934\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-02","publicationStatus":"PW","scienceBaseUri":"5c10a92fe4b034bf6a7e5062","contributors":{"authors":[{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":750410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benesh, Kasey C.","contributorId":210299,"corporation":false,"usgs":false,"family":"Benesh","given":"Kasey","email":"","middleInitial":"C.","affiliations":[{"id":13588,"text":"Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":750411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahon, Andrew R.","contributorId":210300,"corporation":false,"usgs":false,"family":"Mahon","given":"Andrew","email":"","middleInitial":"R.","affiliations":[{"id":13588,"text":"Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":750412,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jerde, Christopher L. 0000-0002-8074-3466","orcid":"https://orcid.org/0000-0002-8074-3466","contributorId":210301,"corporation":false,"usgs":false,"family":"Jerde","given":"Christopher","email":"","middleInitial":"L.","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":750413,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowe, Christopher G.","contributorId":210302,"corporation":false,"usgs":false,"family":"Lowe","given":"Christopher","email":"","middleInitial":"G.","affiliations":[{"id":34411,"text":"California State University Long Beach","active":true,"usgs":false}],"preferred":false,"id":750414,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198896,"text":"ofr20181125 - 2018 - Hydrologic characteristics and water quality of headwater streams and wetlands at the Allegheny Portage Railroad National Historic Site, Summit area, Blair and Cambria Counties, Pennsylvania, 2014–16","interactions":[],"lastModifiedDate":"2018-12-17T13:17:44","indexId":"ofr20181125","displayToPublicDate":"2018-10-02T14:15:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1125","displayTitle":"Hydrologic Characteristics and Water Quality of Headwater Streams and Wetlands at the Allegheny Portage Railroad National Historic Site, Summit Area, Blair and Cambria Counties, Pennsylvania,The Allegheny Portage Railroad National Historic Site (ALPO) in Blair and Cambria Counties, Pennsylvania, protects historic features of the first railroad portage over the Allegheny Front and the first railroad tunnel in the United States. This report, which was completed by the U.S. Geological Survey in cooperation with the National Park Service, summarizes water resources in the headwaters of the Blair Gap Run and Bradley Run watersheds at the ALPO Summit area during 2014–16. These new baseline data fill an existing gap in knowledge and may be helpful to evaluate potential changes in the hydrologic characteristics of streams and associated wetlands at the Summit area.
Results of synoptic water-quality surveys and continuous stage records at two streamgages near the headwaters of Blair Gap Run and Bradley Run indicate that the headwater streams of the ALPO Summit area are perennial but have different water-quality characteristics. The water sampled in the headwaters of Blair Gap Run had pH that ranged from acidic to near neutral, combined with elevated concentrations of dissolved solids, mainly sulfate, chloride, and sodium. These characteristics can be attributed to drainage from legacy coal mines and runoff from nearby roads treated with deicing salt. More than once during the study, the chloride and associated contaminant concentrations in tributaries of Blair Gap Run exceeded chronic thresholds for protection of freshwater aquatic organisms. In contrast, the water quality at tributaries of Bradley Run in the Summit area was characterized by near-neutral pH and relatively low concentrations of dissolved constituents, which met criteria for protection of freshwater aquatic life. By comparison, the deep groundwater discharged as abandoned mine drainage to Sugar Run from the Argyle Stone Bridge Mine, which underlies the Summit area, had acidic pH and elevated concentrations of sulfate and metals, which exceeded chronic and acute thresholds for aquatic life.
Data on shallow groundwater levels in piezometers at two wetlands in the Summit area, which were monitored during spring through fall of 2016, indicate downward hydraulic gradients (higher water level in shallow piezometer than in deeper piezometer) and potential for local groundwater recharge during rainfall events, particularly in the summer and fall seasons. The wetlands in the upland area (wetland 3, at altitude 2,370 feet NAVD 88) near the divide between Blair Gap Run and Bradley Run between the Lemon House and Picnic Area, exhibited a consistent downward gradient from spring through fall of 2016. The associated surface seepage at wetland 3 dried up in the summer of 2016. In contrast, the wetlands in the adjoining valley (wetland 6, at altitude 2,198 feet NAVD 88) in the northwestern Summit area exhibited upward hydraulic gradients in the spring and produced continuous seepage. Despite downward gradients during summer and fall, the seepage associated with wetland 6 sustained perennial conditions in the Bradley Run drainage through the summer of 2016.
Differences in groundwater altitudes and associated water quality among the surface water, shallow groundwater, and deep groundwater in the Summit area imply that the surface water and shallow groundwater in the Summit area could recharge the groundwater of the underlying coal mines. Seasonally upward and downward vertical gradients in the near-surface soil and bedrock at wetland 6, and unimpaired water quality in the Bradley Run headwaters, are consistent with a perched water table and local hydrology that is influenced by local recharge. Persistent downward gradients and impaired water quality at wetland 3 and the adjacent headwaters seeps and tributaries of Blair Gap Run could be attributed to subsidence and drainage from shallow coalbeds (Upper Freeport, seam E) and associated mine workings in that area; however, the underlying deep coal mine pool (Lower Kittanning, seam B), which is hundreds of feet below the surface, does not appear to affect the hydrologic characteristics of the headwater streams and wetlands in the Summit area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181125","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Cravotta, C.A., III, Galeone, D.G., and Penrod, K.A., 2018, Hydrologic characteristics and water quality of headwater streams and wetlands at the Allegheny Portage Railroad National Historic Site, Summit area, Blair and Cambria Counties, Pennsylvania, 2014–16 (ver. 1.1, December 2018): U.S. Geological Survey Open-File Report 2018–1125, 21 p., https://doi.org/10.3133/ofr20181125.","productDescription":"Report: vi, 21 p.; Table; Appendix; Data release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-098767","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":357980,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1125/coverthb2.jpg"},{"id":357981,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1125/ofr20181125.pdf","text":"Report","size":"5.19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1125"},{"id":357982,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2018/1125/ofr20181125_appendixes.xlsx","size":"1.65 MB","linkFileType":{"id":3,"text":"xlsx"}},{"id":357984,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YWMMHG","text":"USGS data release","description":"USGS data release","linkHelpText":"Hydrologic data collected by the U.S. Geological Survey and National Park Service at the Allegheny Portage Railroad National Historic Site, Summit Area, Blair and Cambria Counties, Pennsylvania, April 2014-December 2016"},{"id":357983,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2018/1125/ofr20181125_tables.xlsx","size":"1.12 MB","linkFileType":{"id":3,"text":"xlsx"}},{"id":360331,"rank":6,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2018/1125/versionHist.txt","text":"Version History","size":"1.27 KB","linkFileType":{"id":2,"text":"txt"}}],"country":"United States","state":"Pennsylvania","county":"Blair County, Cambria County","otherGeospatial":"Allegheny Portage Railroad National Historic Site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.56268,\n 40.45209\n ],\n [\n -78.5237,\n 40.45209\n ],\n [\n -78.5237,\n 40.47688\n ],\n [\n -78.56268,\n 40.47688\n ],\n [\n -78.56268,\n 40.45209\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.1: December 2018; Version 1.0: October 2018","contact":"Director, Pennsylvania Water Science Center
U.S. Geological Survey
215 Limekiln Road
New Cumberland, PA 17070
This article highlights current research into land and water resources, agroecosystems, and agricultural production systems published by the Natural Resources and Environmental Systems (NRES) community of ASABE journals (Transactions of the ASABE and Applied Engineering in Agriculture) in 2017. This article reviews the context, scope, and key results of the published articles and perhaps more importantly recommends areas for increased research attention. Experimental and modeling advances were described in hydrology, agroecosystems, climate-change effects, soil erosion, irrigation, drainage, forest resources, livestock systems, natural treatment systems, international water issues, and water quality topic areas. Three special collections were published (International Watershed Technology, Crop Modeling to Optimize Water Use, and Advances in Drainage). Other focal areas included 14 articles relating to livestock waste management, 13 concerning irrigated agricultural systems, 8 addressing climate change effects on land and water resources, and 16 on various aspects of soil erosion measurement and modeling. Building on the articles reviewed from 2017 and toward a vision of future agroecosystems research, the NRES community of ASABE journals strives to grow its role in making new knowledge accessible to sustain agricultural and natural systems in a changing world. In this vane, recommendations for future research direction are discussed with an emphasis on increased application of remote sensing data to agroecosystems research, improved assessment of agroecosystem resiliency and vulnerability to land and climate change, development of integrated models of agroecosystem services, meeting stubborn water management challenges in agricultural production systems, and focusing on publishing fully reproducible model results.
","language":"English","publisher":"American Society of Agricultural and Biological Engineers (ASABE)","doi":"10.13031/trans.12821","usgsCitation":"Douglas-Mankin, K.R., 2018, Current research in land, water, and agroecosystems: ASABE journals 2017 year in review: Transactions of the ASABE, v. 61, no. 5, p. 1639-1651, https://doi.org/10.13031/trans.12821.","productDescription":"13 p.","startPage":"1639","endPage":"1651","ipdsId":"IP-095123","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":468343,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.13031/trans.12821","text":"Publisher Index Page"},{"id":357993,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"5","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02f80e4b0fc368eb53867","contributors":{"authors":[{"text":"Douglas-Mankin, Kyle R. 0000-0002-3155-3666","orcid":"https://orcid.org/0000-0002-3155-3666","contributorId":203927,"corporation":false,"usgs":true,"family":"Douglas-Mankin","given":"Kyle","email":"","middleInitial":"R.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746880,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70202132,"text":"70202132 - 2018 - Performance assessments of a novel well design for reducing exposure to bedrock‐derived arsenic","interactions":[],"lastModifiedDate":"2019-02-11T14:20:39","indexId":"70202132","displayToPublicDate":"2018-10-01T14:20:32","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Performance assessments of a novel well design for reducing exposure to bedrock‐derived arsenic","docAbstract":"Arsenic in groundwater is a serious problem in New England, particularly for domestic well owners drawing water from bedrock aquifers. The overlying glacial aquifer generally has waters with low arsenic concentrations but is less used because of frequent loss of well water during dry periods and the vulnerability to surface‐sourced bacterial contamination. An alternative, novel design for shallow wells in glacial aquifers is intended to draw water primarily from unconsolidated glacial deposits, while being resistant to drought conditions and surface contamination. Its use could greatly reduce exposure to arsenic through drinking water for domestic use. Hypothetical numerical models were used to investigate the potential hydraulic performance of the new well design in reducing arsenic exposure. The aquifer system was divided into two parts, an upper section representing the glacial sediments and a lower section representing the bedrock. The location of the well, recharge conditions, and hydraulic properties were systematically varied in a series of simulations and the potential for arsenic contamination was quantified by analyzing groundwater flow paths to the well. The greatest risk of arsenic contamination occurred when the hydraulic conductivity of the bedrock aquifer was high, or where there was upward flow from the bedrock aquifer because of the position of the well in the flow system.
","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12603","usgsCitation":"Winston, R.B., and Ayotte, J.D., 2018, Performance assessments of a novel well design for reducing exposure to bedrock‐derived arsenic: Groundwater, v. 56, no. 5, p. 762-769, https://doi.org/10.1111/gwat.12603.","productDescription":"8 p.","startPage":"762","endPage":"769","ipdsId":"IP-083944","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":361148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Winston, Richard B. 0000-0002-6287-8834 rbwinst@usgs.gov","orcid":"https://orcid.org/0000-0002-6287-8834","contributorId":3567,"corporation":false,"usgs":true,"family":"Winston","given":"Richard","email":"rbwinst@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":757000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ayotte, Joseph D. 0000-0002-1892-2738 jayotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1892-2738","contributorId":149619,"corporation":false,"usgs":true,"family":"Ayotte","given":"Joseph","email":"jayotte@usgs.gov","middleInitial":"D.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757001,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201119,"text":"70201119 - 2018 - Tidal response of groundwater in a leaky aquifer—Application to Oklahoma","interactions":[],"lastModifiedDate":"2018-11-29T14:18:34","indexId":"70201119","displayToPublicDate":"2018-10-01T14:18:29","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Tidal response of groundwater in a leaky aquifer—Application to Oklahoma","docAbstract":"Quantitative interpretation of the tidal response of water levels measured in wells has long been made either with a model for perfectly confined aquifers or with a model for purely unconfined aquifers. However, many aquifers may be neither totally confined nor purely unconfined at the frequencies of tidal loading but behave somewhere between the two end‐members. Here we present a more general model for the tidal response of groundwater in aquifers with both horizontal flow and vertical leakage. The model has three independent parameters: the transmissivity (T) and storativity (S) of the aquifer and the specific leakage (K′/b′) of the leaking aquitard, where K′ and b′ are the hydraulic conductivity and the thickness of the aquitard, respectively. If T and S are known independently, this model may be used to estimate aquitard leakage from the phase shift and amplitude ratio of water level in wells obtained from tidal analysis. We apply the model to interpret the tidal response of water level in a US Geological Survey (USGS) deep monitoring well installed in the Arbuckle aquifer in Oklahoma, into which massive amount of wastewater coproduced from hydrocarbon exploration has been injected. The analysis shows that the Arbuckle aquifer is leaking significantly at this site. We suggest that the present method may be effective and economical for monitoring leakage in groundwater systems, which bears on the safety of water resources, the security of underground waste repositories, and the outflow of wastewater during deep injection and hydrocarbon extraction.
","language":"English","publisher":"AGU","doi":"10.1029/2018WR022793","usgsCitation":"Wang, C., Doan, M., Xu, L., and Barbour, A., 2018, Tidal response of groundwater in a leaky aquifer—Application to Oklahoma: Water Resources Research, v. 54, no. 10, p. 8019-8033, https://doi.org/10.1029/2018WR022793.","productDescription":"15 p.","startPage":"8019","endPage":"8033","ipdsId":"IP-092698","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":468347,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018wr022793","text":"Publisher Index Page"},{"id":359805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100,\n 34.75\n ],\n [\n -96,\n 34.75\n ],\n [\n -96,\n 37\n ],\n [\n -100,\n 37\n ],\n [\n -100,\n 34.75\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"54","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-19","publicationStatus":"PW","scienceBaseUri":"5c0108d3e4b0815414cc2df3","contributors":{"authors":[{"text":"Wang, Chi-Yuen","contributorId":131171,"corporation":false,"usgs":false,"family":"Wang","given":"Chi-Yuen","email":"","affiliations":[{"id":7102,"text":"University of California, Berkeley, Dept. of Civil & Envir. Engineering","active":true,"usgs":false}],"preferred":false,"id":752785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doan, Mai-Linh","contributorId":210947,"corporation":false,"usgs":false,"family":"Doan","given":"Mai-Linh","email":"","affiliations":[{"id":38161,"text":"Laboratoire ISTerre, Université Grenoble Alpes","active":true,"usgs":false}],"preferred":false,"id":752787,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xu, Lian","contributorId":210946,"corporation":false,"usgs":false,"family":"Xu","given":"Lian","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":752786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barbour, Andrew J. 0000-0002-6890-2452 abarbour@usgs.gov","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":140443,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew J.","email":"abarbour@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":752784,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70200230,"text":"70200230 - 2018 - Unusual foraging observations associated with seabird die-offs in Alaska","interactions":[],"lastModifiedDate":"2018-10-19T08:53:40","indexId":"70200230","displayToPublicDate":"2018-10-01T14:08:54","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2675,"text":"Marine Ornithology: Journal of Seabird Research and Conservation","onlineIssn":"2074-1235","printIssn":"1018-3337","active":true,"publicationSubtype":{"id":10}},"title":"Unusual foraging observations associated with seabird die-offs in Alaska","docAbstract":"We report the first documentation of off-water foraging by the Fork-tailed Storm-Petrel Oceanodroma furcata and Short-tailed Shearwater Ardenna tenuirostris, a behavior not previously documented in any member of the families Hydrobatidae or Procellariidae. Over a two-week period in September 2016, we regularly observed individuals of these species over land on an extensive intertidal zone on the Bristol Bay coast of the Alaska Peninsula. We documented irregular feeding behaviors by storm-petrels, including pattering over shallow water and sand, digging into sand to uncover food items, and feeding on beach-cast fish. We revisited the site in August 2017 and did not observe storm-petrels, but we observed four shearwaters feeding on a beach-cast fish. The aberrant feeding behaviors, paucity of stomach contents and emaciated body condition of salvaged and collected birds, together with patterns between bird occurrence and wind speed and direction, indicate to us that these birds were blown to shore while weakened by food stress or compromised health. We further suggest that these aberrant feeding behaviors may be related to massive seabird die-offs that occurred in this region during 2014–2016, die-offs in which Forktailed Storm-Petrels have heretofore not been reported as a species affected by this phenomenon.
","language":"English","publisher":"Marine Ornithology","usgsCitation":"Robinson, B., DeCicco, L.H., Johnson, J., and Ruthrauff, D.R., 2018, Unusual foraging observations associated with seabird die-offs in Alaska: Marine Ornithology: Journal of Seabird Research and Conservation, v. 46, p. 149-153.","productDescription":"5 p.","startPage":"149","endPage":"153","ipdsId":"IP-097839","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":358346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":358345,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.marineornithology.org/content/get.cgi?rn=1269"}],"country":"United States","state":"Alaska","otherGeospatial":"Bristol Bay","volume":"46","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a930e4b034bf6a7e5073","contributors":{"authors":[{"text":"Robinson, Bryce","contributorId":209306,"corporation":false,"usgs":false,"family":"Robinson","given":"Bryce","affiliations":[{"id":13236,"text":"U.S. Fish and Wildlife Service, Migratory Bird Management","active":true,"usgs":false}],"preferred":false,"id":748357,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeCicco, Lucas H.","contributorId":199286,"corporation":false,"usgs":false,"family":"DeCicco","given":"Lucas","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":748358,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, James A.","contributorId":84649,"corporation":false,"usgs":true,"family":"Johnson","given":"James A.","affiliations":[],"preferred":false,"id":748359,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruthrauff, Daniel R. 0000-0003-1355-9156 druthrauff@usgs.gov","orcid":"https://orcid.org/0000-0003-1355-9156","contributorId":4181,"corporation":false,"usgs":true,"family":"Ruthrauff","given":"Daniel","email":"druthrauff@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":748356,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70200506,"text":"70200506 - 2018 - Threats to cranes related to agriculture","interactions":[],"lastModifiedDate":"2018-10-23T13:47:35","indexId":"70200506","displayToPublicDate":"2018-10-01T13:47:25","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Threats to cranes related to agriculture","docAbstract":"The greatest threats to cranes worldwide are related to agricultural activities. They include direct losses of wetlands or grasslands; altered wetland hydrology due to water control systems such as dams or irrigation ditches; fire; direct and indirect impacts from agricultural chemicals; human disturbances; disease risks where cranes congregate in high densities on crops or in association with domestic birds; and collisions with power lines in cropland areas. Loss and degradation of wetland and grassland habitats by conversion to agriculture pose the greatest threats to all crane species. However, some agricultural uses of these ecosystems, such as paddy wetlands and grazing, can be beneficial to cranes and allow sustainable use by both cranes and farmers. Effects of agricultural burning on crane habitats can vary widely depending on fire severity, timing relative to plant growth and its response to burning, environmental conditions during and after fire, impact on predators and alternative prey, and relation of these factors to life-history stage for cranes. Cranes are increasingly exposed to agricultural chemicals that may affect them directly, through consumption of contaminated foods, or indirectly, through loss of important foods, or altered habitats. Cranes in agricultural areas can be intentionally or unintentionally disturbed by normal farming activities; where they directly threaten crops, farmers may destroy nests or kill birds. Birds may become habituated to some disturbances, but repeated, intensive, or targeted disturbances can result in reproductive failure, abandonment of breeding territories, or avoidance of roost or foraging areas. Dense congregations of cranes on crops increase risks of rapid spread of infectious diseases. Widespread concerns about avian collisions with power lines, a leading source of mortality or injury for some crane populations, have led to various approaches to reduce or prevent avian mortalities in problem areas. Alternative actions or programs that could help prevent or mitigate these threats are outlined.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Cranes and agriculture: A global guide for sharing the landscape","language":"English","publisher":"International Crane Foundation","usgsCitation":"Austin, J.E., 2018, Threats to cranes related to agriculture, chap. of Cranes and agriculture: A global guide for sharing the landscape, p. 83-116.","productDescription":"34 p.","startPage":"83","endPage":"116","ipdsId":"IP-045407","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":358680,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":358619,"type":{"id":15,"text":"Index Page"},"url":"https://www.savingcranes.org/education/library/books/"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a930e4b034bf6a7e507b","contributors":{"authors":[{"text":"Austin, Jane E. 0000-0001-8775-2210 jaustin@usgs.gov","orcid":"https://orcid.org/0000-0001-8775-2210","contributorId":146411,"corporation":false,"usgs":true,"family":"Austin","given":"Jane","email":"jaustin@usgs.gov","middleInitial":"E.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":749197,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70201693,"text":"70201693 - 2018 - A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform","interactions":[],"lastModifiedDate":"2018-12-21T13:38:22","indexId":"70201693","displayToPublicDate":"2018-10-01T13:38:15","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1958,"text":"ISPRS Journal of Photogrammetry and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform","docAbstract":"Mapping high resolution (30-m or better) cropland extent over very large areas such as continents or large countries or regions accurately, precisely, repeatedly, and rapidly is of great importance for addressing the global food and water security challenges. Such cropland extent products capture individual farm fields, small or large, and are crucial for developing accurate higher-level cropland products such as cropping intensities, crop types, crop watering methods (irrigated or rainfed), crop productivity, and crop water productivity. It also brings many challenges that include handling massively large data volumes, computing power, and collecting resource intensive reference training and validation data over complex geographic and political boundaries. Thereby, this study developed a precise and accurate Landsat 30-m derived cropland extent product for two very important, distinct, diverse, and large countries: Australia and China. The study used of eight bands (blue, green, red, NIR, SWIR1, SWIR2, TIR1, and NDVI) of Landsat-8 every 16-day Operational Land Imager (OLI) data for the years 2013–2015. The classification was performed by using a pixel-based supervised random forest (RF) machine learning algorithm (MLA) executed on the Google Earth Engine (GEE) cloud computing platform. Each band was time-composited over 4–6 time-periods over a year using median value for various agro-ecological zones (AEZs) of Australia and China. This resulted in a 32–48-layer mega-file data-cube (MFDC) for each of the AEZs. Reference training and validation data were gathered from: (a) field visits, (b) sub-meter to 5-m very high spatial resolution imagery (VHRI) data, and (c) ancillary sources such as from the National agriculture bureaus. Croplands versus non-croplands knowledge base for training the RF algorithm were derived from MFDC using 958 reference-training samples for Australia and 2130 reference-training samples for China. The resulting 30-m cropland extent product was assessed for accuracies using independent validation samples: 900 for Australia and 1972 for China. The 30-m cropland extent product of Australia showed an overall accuracy of 97.6% with a producer’s accuracy of 98.8% (errors of omissions = 1.2%), and user’s accuracy of 79% (errors of commissions = 21%) for the cropland class. For China, overall accuracies were 94% with a producer’s accuracy of 80% (errors of omissions = 20%), and user’s accuracy of 84.2% (errors of commissions = 15.8%) for cropland class. Total cropland areas of Australia were estimated as 35.1 million hectares and 165.2 million hectares for China. These estimates were higher by 8.6% for Australia and 3.9% for China when compared with the traditionally derived national statistics. The cropland extent product further demonstrated the ability to estimate sub-national cropland areas accurately by providing an R2 value of 0.85 when compared with province-wise cropland areas of China. The study provides a paradigm-shift on how cropland maps are produced using multi-date remote sensing. These products can be browsed at www.croplands.org and made available for download at NASA’s Land Processes Distributed Active Archive Center (LP DAAC) https://www.lpdaac.usgs.gov/node/1282.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.isprsjprs.2018.07.017","usgsCitation":"Teluguntla, P., Thenkabail, P.S., Oliphant, A., Xiong, J., Gumma, M.K., Congalton, R.G., Yadav, K., and Huete, A., 2018, A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform: ISPRS Journal of Photogrammetry and Remote Sensing, v. 144, p. 325-340, https://doi.org/10.1016/j.isprsjprs.2018.07.017.","productDescription":"16 p.","startPage":"325","endPage":"340","ipdsId":"IP-095003","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":468349,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.isprsjprs.2018.07.017","text":"Publisher Index Page"},{"id":360683,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia, 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USA","active":true,"usgs":false}],"preferred":false,"id":754890,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Huete, Alfredo","contributorId":48337,"corporation":false,"usgs":true,"family":"Huete","given":"Alfredo","affiliations":[],"preferred":false,"id":754891,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70201601,"text":"70201601 - 2018 - Effects of watershed and in-stream liming on macroinvertebrate communities in acidified tributaries to Honnedaga Lake, NY","interactions":[],"lastModifiedDate":"2018-12-20T11:50:18","indexId":"70201601","displayToPublicDate":"2018-10-01T11:50:12","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5792,"text":"Summary Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"18-18","title":"Effects of watershed and in-stream liming on macroinvertebrate communities in acidified tributaries to Honnedaga Lake, NY","docAbstract":"Liming techniques are being explored in many regions as a means to accelerate the recovery of aquatic biota from decades of acid deposition. The preservation or restoration of native sportfish populations has usually been the impetus for liming programs, and as such, less attention has been paid to its effects on other biological assemblages such as macroinvertebrates. In 2012, a program was initiated using in-stream and aerial (whole-watershed) liming to improve water quality and Brook Trout (Salvelinus fontinalis) recruitment in three acidified tributaries of a high-elevation lake in New York State. Concurrently, macroinvertebrates were sampled annually between 2013 and 2016 at 3 treated sites and 3 untreated reference sites to assess the effects of each liming technique on this community. Despite improvements in water chemistry in all three limed streams, our results generally suggest that neither liming technique improved the condition of macroinvertebrate communities. The watershed application caused an immediate and unsustained decrease in the density of macroinvertebrates driven largely by a one-year reduction of the acid-tolerant Leuctra stoneflies. The in-stream applications appeared to reduce the density of macroinvertebrates, particularly in one stream where undissolved lime covered the natural substrate. The inability of either liming technique to improve the condition of macroinvertebrate communities may be partly explained by the persistence of acidic episodes in all three streams. This suggests that in order to be effective, liming programs should strive to eliminate even temporary episodes of unsuitable water chemistry.","language":"English","publisher":"NYSERDA","usgsCitation":"Lampman, G., George, S.D., Baldigo, B.P., Lawrence, G.B., and Fuller, R.L., 2018, Effects of watershed and in-stream liming on macroinvertebrate communities in acidified tributaries to Honnedaga Lake, NY: Summary Report 18-18, v, 21 p.","productDescription":"v, 21 p.","ipdsId":"IP-087452","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":360624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360440,"type":{"id":15,"text":"Index Page"},"url":"https://www.nyserda.ny.gov/About/Publications/Research-and-Development-Technical-Reports/Environmental-Research-and-Development-Technical-Reports#eco"}],"country":"United States","state":"New York","otherGeospatial":"Honnedaga Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.8667,\n 43.5\n ],\n [\n -74.7833,\n 43.5\n ],\n [\n -74.7833,\n 43.55\n ],\n [\n -74.8667,\n 43.55\n ],\n [\n -74.8667,\n 43.5\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1cb860e4b0708288c83830","contributors":{"authors":[{"text":"Lampman, Gregory","contributorId":211768,"corporation":false,"usgs":false,"family":"Lampman","given":"Gregory","affiliations":[],"preferred":false,"id":754808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":754473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":754474,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":754475,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fuller, Randall L.","contributorId":196969,"corporation":false,"usgs":false,"family":"Fuller","given":"Randall","email":"","middleInitial":"L.","affiliations":[{"id":35994,"text":"Colgate University, Hamilton, NY","active":true,"usgs":false}],"preferred":false,"id":754476,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201827,"text":"70201827 - 2018 - What makes a first‐magnitude spring?: Global sensitivity analysis of a speleogenesis model to gain insight into karst network and spring genesis","interactions":[],"lastModifiedDate":"2019-01-31T11:39:35","indexId":"70201827","displayToPublicDate":"2018-10-01T11:39:20","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"What makes a first‐magnitude spring?: Global sensitivity analysis of a speleogenesis model to gain insight into karst network and spring genesis","docAbstract":"Often, karstic conduit network geometry is unknown. This lack of knowledge represents a significant limitation when modeling flow and solute transport in karst systems. In this study, we apply Morris Method Global Sensitivity Analysis to a speleogenesis model to identify model input parameters, and combinations thereof, that most significantly influence evolution of karst conduit networks, development of first‐magnitude springs, and resulting flow and solute transport pulse responses. Based on an idealized model of the Silver Springshed in Central Florida USA, results showed that porous matrix hydraulic conductivity and parameters that govern connectivity of vertical and horizontal preferential flow paths (proto‐conduits) are the most influential parameters. In particular, a lower porous matrix conductivity is more likely to produce a first‐order magnitude spring. For the boundary conditions assumed in this application, conduits tend to develop in low topographic regions that drained nearby high regions. Morris ensemble realizations that generated first‐magnitude springs exhibit similar flow and solute transport pulse responses at the spring vent, despite differences in network configuration. However, distributed head fields are highly spatially variable, implying substantial spatial variability among solute flow paths and travel times from the land surface to the spring across realizations.
","language":"English","publisher":"AGU","doi":"10.1029/2017WR021950","usgsCitation":"Henson, W.R., de Rooij, R., and Graham, W.D., 2018, What makes a first‐magnitude spring?: Global sensitivity analysis of a speleogenesis model to gain insight into karst network and spring genesis: Water Resources Research, v. 54, no. 10, p. 7417-7434, https://doi.org/10.1029/2017WR021950.","productDescription":"18 p.","startPage":"7417","endPage":"7434","ipdsId":"IP-087767","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":437729,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9S9FMOU","text":"USGS data release","linkHelpText":"Model Data Set and Executables Supporting the Journal Publication for \"What Makes a First-Magnitude Spring?--Global Uncertainty Analysis of a Speleogenesis Model to Gain Insight into Karst Spring Genesis\""},{"id":360862,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"10","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Henson, Wesley R. 0000-0003-4962-5565 whenson@usgs.gov","orcid":"https://orcid.org/0000-0003-4962-5565","contributorId":384,"corporation":false,"usgs":true,"family":"Henson","given":"Wesley","email":"whenson@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Rooij, Rob","contributorId":212029,"corporation":false,"usgs":false,"family":"de Rooij","given":"Rob","email":"","affiliations":[{"id":38390,"text":"University of Florida Water Institute","active":true,"usgs":false}],"preferred":false,"id":755498,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, Wendy D.","contributorId":196587,"corporation":false,"usgs":false,"family":"Graham","given":"Wendy","email":"","middleInitial":"D.","affiliations":[{"id":12558,"text":"University of Florida, Gainesville","active":true,"usgs":false}],"preferred":false,"id":755499,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70199911,"text":"70199911 - 2018 - Preliminary evaluation of behavioral response of nesting waterbirds to small unmanned aircraft flight","interactions":[],"lastModifiedDate":"2018-10-03T11:39:09","indexId":"70199911","displayToPublicDate":"2018-10-01T11:38:59","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Preliminary evaluation of behavioral response of nesting waterbirds to small unmanned aircraft flight","docAbstract":"Small unmanned aircraft systems present an emerging technology with the potential to survey colonial waterbird populations while reducing disturbance in comparison to traditional ground counts. Recent research with these systems has been performed on some colonially nesting avian species; however, none have focused on wading bird species. During 2015–2016, this study tested the behavioral response of a mixed-species rookery (Cattle Egret (Bubulcus ibis), Snowy Egret (Egretta thula), Glossy Ibis (Plegadis falcinellus) and a groundnesting colony of Common Terns (Sterna hirundo)) in shrub habitat to small unmanned aircraft system flights at 12 m, 15 m, 30 m, and 50 m. Even at the lowest altitudes, the birds either showed no reaction or acclimated within 60 sec of the fly-over. Conversely, physically entering the colony to conduct ground surveys resulted in all Common Terns flushing from their nests beginning when the observer was 50 m away and required significantly more time in the colony overall: ~30–60 min vs. ~3–7 min with the small unmanned aircraft system. While this study focuses only on the behavioral response of nesting birds and not comparison of count estimates, these results provide preliminary evidence that small unmanned aircraft systems provide the potential to monitor colonial nesting bird populations while minimizing disturbance to the colony.
","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.041.0314","usgsCitation":"Reintsma, K., McGowan, P.C., Callahan, C.R., Collier, T., Gray, D., Sullivan, J.D., and Prosser, D.J., 2018, Preliminary evaluation of behavioral response of nesting waterbirds to small unmanned aircraft flight: Waterbirds, v. 41, no. 3, p. 326-331, https://doi.org/10.1675/063.041.0314.","productDescription":"6 p.","startPage":"326","endPage":"331","ipdsId":"IP-093211","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":358089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02f81e4b0fc368eb5386d","contributors":{"authors":[{"text":"Reintsma, Kaitlyn","contributorId":208435,"corporation":false,"usgs":true,"family":"Reintsma","given":"Kaitlyn","email":"","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":747253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGowan, Peter C.","contributorId":13867,"corporation":false,"usgs":false,"family":"McGowan","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":747254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Callahan, Carl R.","contributorId":205289,"corporation":false,"usgs":false,"family":"Callahan","given":"Carl","email":"","middleInitial":"R.","affiliations":[{"id":37073,"text":"USFWS, Annapolis MD","active":true,"usgs":false}],"preferred":false,"id":747255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collier, Tom","contributorId":208436,"corporation":false,"usgs":false,"family":"Collier","given":"Tom","email":"","affiliations":[{"id":37801,"text":"UASbio","active":true,"usgs":false}],"preferred":false,"id":747256,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gray, David","contributorId":208437,"corporation":false,"usgs":false,"family":"Gray","given":"David","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":747257,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sullivan, Jeffery D.","contributorId":202910,"corporation":false,"usgs":false,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":747258,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":747252,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}