Assessments of climate change over time scales that exceed the last 100 years require robust integration of high-quality instrument records with high-resolution paleoclimate proxy data. In this study, we show that the recent biogenic sediments accumulating in two temperate ice-free fjords in Southeast Alaska preserve evidence of North Pacific Ocean climate variability as recorded by both instrument networks and satellite observations. Multicore samples EW0408-32MC and EW0408-43MC were investigated with 137Cs and excess 210Pb geochronometry, three-dimensional computed tomography, high-resolution scanning XRF geochemistry, and organic stable isotope analyses. EW0408-32MC (57.162°N, 135.357°W, 146 m depth) is a moderately bioturbated continuous record that spans AD ∼1930–2004. EW0408-43MC (56.965°N, 135.268°W, 91 m depth) is composed of laminated diatom oozes, a turbidite, and a hypopycnal plume (river flood) deposit. A discontinuous event-based varve chronology indicates 43MC spans AD ∼1940–1981. Decadal-scale fluctuations in sedimentary Br/Cl ratios accurately reflect changes in marine organic matter accumulation that display the same temporal pattern as that of the Pacific Decadal Oscillation. An estimated Sitka summer productivity parameter calibrated using SeaWiFS satellite observations support these relationships. The correlation of North Pacific climate regime states, primary productivity, and sediment geochemistry indicate the accumulation of biogenic sediment in Southeast Alaska temperate fjords can be used as a sensitive recorder of past productivity variability, and by inference, past climate conditions in the high-latitude Gulf of Alaska.
","language":"English","publisher":"AGU","doi":"10.1002/jgrc.20243","usgsCitation":"Addison, J.A., Finney, B., Jaeger, J.M., Stoner, J.S., Norris, R.D., and Hangsterfer, A., 2013, Integrating satellite observations and modern climate measurements with the recent sedimentary record: An example from Southeast Alaska: Journal of Geophysical Research: Oceans, v. 118, no. 7, p. 3444-3461, https://doi.org/10.1002/jgrc.20243.","productDescription":"18 p.","startPage":"3444","endPage":"3461","ipdsId":"IP-043226","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473724,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrc.20243","text":"Publisher Index Page"},{"id":348106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155,\n 50\n ],\n [\n -120,\n 50\n ],\n [\n -120,\n 61\n ],\n [\n -155,\n 61\n ],\n [\n -155,\n 50\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"118","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-17","publicationStatus":"PW","scienceBaseUri":"59fc2eace4b0531197b27fc1","contributors":{"authors":[{"text":"Addison, Jason A. 0000-0003-2416-9743 jaddison@usgs.gov","orcid":"https://orcid.org/0000-0003-2416-9743","contributorId":4192,"corporation":false,"usgs":true,"family":"Addison","given":"Jason","email":"jaddison@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finney, Bruce P.","contributorId":88074,"corporation":false,"usgs":true,"family":"Finney","given":"Bruce P.","affiliations":[],"preferred":false,"id":719561,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jaeger, John M.","contributorId":11423,"corporation":false,"usgs":true,"family":"Jaeger","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":719562,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stoner, Joseph S.","contributorId":84171,"corporation":false,"usgs":true,"family":"Stoner","given":"Joseph","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":719563,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Norris, Richard D.","contributorId":51651,"corporation":false,"usgs":true,"family":"Norris","given":"Richard","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":719564,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hangsterfer, Alexandra","contributorId":199603,"corporation":false,"usgs":false,"family":"Hangsterfer","given":"Alexandra","email":"","affiliations":[],"preferred":false,"id":719560,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70041208,"text":"70041208 - 2013 - Assessment of the NASA-USGS Global Land Survey (GLS) Datasets","interactions":[],"lastModifiedDate":"2017-04-06T16:00:45","indexId":"70041208","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of the NASA-USGS Global Land Survey (GLS) Datasets","docAbstract":"The Global Land Survey (GLS) datasets are a collection of orthorectified, cloud-minimized Landsat-type satellite images, providing near complete coverage of the global land area decadally since the early 1970s. The global mosaics are centered on 1975, 1990, 2000, 2005, and 2010, and consist of data acquired from four sensors: Enhanced Thematic Mapper Plus, Thematic Mapper, Multispectral Scanner, and Advanced Land Imager. The GLS datasets have been widely used in land-cover and land-use change studies at local, regional, and global scales. This study evaluates the GLS datasets with respect to their spatial coverage, temporal consistency, geodetic accuracy, radiometric calibration consistency, image completeness, extent of cloud contamination, and residual gaps. In general, the three latest GLS datasets are of a better quality than the GLS-1990 and GLS-1975 datasets, with most of the imagery (85%) having cloud cover of less than 10%, the acquisition years clustered much more tightly around their target years, better co-registration relative to GLS-2000, and better radiometric absolute calibration. Probably, the most significant impediment to scientific use of the datasets is the variability of image phenology (i.e., acquisition day of year). This paper provides end-users with an assessment of the quality of the GLS datasets for specific applications, and where possible, suggestions for mitigating their deficiencies.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2013.02.026","usgsCitation":"Gutman, G., Huang, C., Chander, G., Noojipady, P., and Masek, J.G., 2013, Assessment of the NASA-USGS Global Land Survey (GLS) Datasets: Remote Sensing of Environment, v. 134, p. 249-265, https://doi.org/10.1016/j.rse.2013.02.026.","productDescription":"17 p.","startPage":"249","endPage":"265","ipdsId":"IP-037259","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":339371,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"UNITED STATES","volume":"134","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e753eee4b09da6799c0c53","contributors":{"authors":[{"text":"Gutman, Garik","contributorId":190654,"corporation":false,"usgs":false,"family":"Gutman","given":"Garik","email":"","affiliations":[],"preferred":false,"id":690210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huang, Chengquan","contributorId":25378,"corporation":false,"usgs":true,"family":"Huang","given":"Chengquan","affiliations":[],"preferred":false,"id":690211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chander, Gyanesh gchander@usgs.gov","contributorId":3013,"corporation":false,"usgs":true,"family":"Chander","given":"Gyanesh","email":"gchander@usgs.gov","affiliations":[],"preferred":true,"id":690212,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noojipady, Praveen","contributorId":24260,"corporation":false,"usgs":true,"family":"Noojipady","given":"Praveen","email":"","affiliations":[],"preferred":false,"id":690213,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Masek, Jeffery G.","contributorId":87438,"corporation":false,"usgs":true,"family":"Masek","given":"Jeffery","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":690214,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70046341,"text":"cir1390 - 2013 - Meeting the Science Needs of the Nation in the Wake of Hurricane Sandy-- A U.S. Geological Survey Science Plan for Support of Restoration and Recovery","interactions":[],"lastModifiedDate":"2013-07-01T15:40:19","indexId":"cir1390","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1390","title":"Meeting the Science Needs of the Nation in the Wake of Hurricane Sandy-- A U.S. Geological Survey Science Plan for Support of Restoration and Recovery","docAbstract":"n late October 2012, Hurricane Sandy came ashore during a spring high tide on the New Jersey coastline, delivering hurricane-force winds, storm tides exceeding 19 feet, driving rain, and plummeting temperatures. Hurricane Sandy resulted in 72 direct fatalities in the mid-Atlantic and northeastern United States, and widespread and substantial physical, environmental, ecological, social, and economic impacts estimated at near $50 billion. Before the landfall of Hurricane Sandy, the USGS provided forecasts of potential coastal change; collected oblique aerial photography of pre-storm coastal morphology; deployed storm-surge sensors, rapid-deployment streamgages, wave sensors, and barometric pressure sensors; conducted Light Detection And Ranging (lidar) aerial topographic surveys of coastal areas; and issued a landslide alert for landslide prone areas. During the storm, Tidal Telemetry Networks provided real-time water-level information along the coast. Long-term network and rapid-deployment real-time streamgages and water-quality monitors reported on river levels and changes in water quality. Immediately after the storm, the USGS serviced real-time instrumentation, retrieved data from over 140 storm-surge sensors, and collected other essential environmental data, including more than 830 high-water marks mapping the extent and elevation of the storm surge. Post-storm lidar surveys documented storm impacts to coastal barriers informing response and recovery and providing a new baseline to assess vulnerability of the reconfigured coast. The USGS Hazard Data Distribution System served storm related information from many agencies on the Internet on a daily basis. This science plan was developed immediately following Hurricane Sandy to coordinate continuing USGS activities with other agencies and to guide continued data collection and analysis to ensure support for recovery and restoration efforts. The data, information, and tools that are produced by implementing this plan will: (1) further characterize impacts and changes, (2) guide mitigation and restoration of impacted communities and ecosystems, (3) inform a redevelopment strategy aimed at developing resilient coastal communities and ecosystems, (4) improve preparedness and responsiveness to the next hurricane or similar coastal disaster, and (5) enable improved hazard assessment, response, and recovery for future storms along the hurricane prone shoreline of the United States. The activities outlined in this plan are organized in five themes based on impact types and information needs. These USGS science themes are: Theme 1: Coastal topography and bathymetry. Theme 2: Impacts to coastal beaches and barriers. Theme 3: Impacts of storm surge and estuarine and bay hydrology. Theme 4: Impacts on environmental quality and persisting contaminant exposures. Theme 5: Impacts to coastal ecosystems, habitats, and fish and wildlife. A major emphasis in the implementation of this plan will be on interacting with stakeholders to better understand their specific data and information needs, to define the best way to make information available, and to support applications of USGS science and expertise to decisionmaking.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1390","usgsCitation":"Buxton, H.T., Andersen, M.E., Focazio, M.J., Haines, J.W., Hainly, R.A., Hippe, D.J., and Sugarbaker, L.J., 2013, Meeting the Science Needs of the Nation in the Wake of Hurricane Sandy-- A U.S. Geological Survey Science Plan for Support of Restoration and Recovery: U.S. Geological Survey Circular 1390, vi, 26 p., https://doi.org/10.3133/cir1390.","productDescription":"vi, 26 p.","numberOfPages":"32","additionalOnlineFiles":"N","ipdsId":"IP-046133","costCenters":[{"id":507,"text":"Office of the AD Energy and Mineralsand Environmental Health","active":false,"usgs":true}],"links":[{"id":274399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir1390.gif"},{"id":274393,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1390/circ1390.pdf"},{"id":274392,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1390/"}],"country":"United States","state":"Connecticut;Delaware;Maine;Maryl;Massachusetts;New Hampshire;New Jersey;New York;Pennsylvania;Rhode Island;Vermont","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.94,36.87 ], [ -77.94,43.86 ], [ -69.62,43.86 ], [ -69.62,36.87 ], [ -77.94,36.87 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d296d7e4b0ca18483389a3","contributors":{"authors":[{"text":"Buxton, Herbert T. hbuxton@usgs.gov","contributorId":1911,"corporation":false,"usgs":true,"family":"Buxton","given":"Herbert","email":"hbuxton@usgs.gov","middleInitial":"T.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":479516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andersen, Matthew E. 0000-0003-4115-5028 mandersen@usgs.gov","orcid":"https://orcid.org/0000-0003-4115-5028","contributorId":3190,"corporation":false,"usgs":true,"family":"Andersen","given":"Matthew","email":"mandersen@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":479519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Focazio, Michael J. 0000-0003-0967-5576 mfocazio@usgs.gov","orcid":"https://orcid.org/0000-0003-0967-5576","contributorId":1276,"corporation":false,"usgs":true,"family":"Focazio","given":"Michael","email":"mfocazio@usgs.gov","middleInitial":"J.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":479514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haines, John W. 0000-0002-6475-8924 jhaines@usgs.gov","orcid":"https://orcid.org/0000-0002-6475-8924","contributorId":509,"corporation":false,"usgs":true,"family":"Haines","given":"John","email":"jhaines@usgs.gov","middleInitial":"W.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":479513,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hainly, Robert A. rahainly@usgs.gov","contributorId":1679,"corporation":false,"usgs":true,"family":"Hainly","given":"Robert","email":"rahainly@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":479515,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hippe, Daniel J. djhippe@usgs.gov","contributorId":2281,"corporation":false,"usgs":true,"family":"Hippe","given":"Daniel","email":"djhippe@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":479517,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sugarbaker, Larry J. lsugarbaker@usgs.gov","contributorId":3079,"corporation":false,"usgs":true,"family":"Sugarbaker","given":"Larry","email":"lsugarbaker@usgs.gov","middleInitial":"J.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":479518,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70193590,"text":"70193590 - 2013 - Merapi 2010 eruption—Chronology and extrusion rates monitored with satellite radar and used in eruption forecasting","interactions":[],"lastModifiedDate":"2017-11-02T12:05:26","indexId":"70193590","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Merapi 2010 eruption—Chronology and extrusion rates monitored with satellite radar and used in eruption forecasting","docAbstract":"Despite dense cloud cover, satellite-borne commercial Synthetic Aperture Radar (SAR) enabled frequent monitoring of Merapi volcano's 2010 eruption. Near-real-time interpretation of images derived from the amplitude of the SAR signals and timely delivery of these interpretations to those responsible for warnings, allowed satellite remote sensing for the first time to play an equal role with in situ seismic, geodetic and gas monitoring in guiding life-saving decisions during a major volcanic crisis. Our remotely sensed data provide an observational chronology for the main phase of the 2010 eruption, which lasted 12 days (26 October–7 November, 2010). Unlike the prolonged low-rate and relatively low explosivity dome-forming and collapse eruptions of recent decades at Merapi, the eruption began with an explosive eruption that produced a new summit crater on 26 October and was accompanied by an ash column and pyroclastic flows that extended 8 km down the flanks. This initial explosive event was followed by smaller explosive eruptions on 29 October–1 November, then by a period of rapid dome growth on 1–4 November, which produced a summit lava dome with a volume of ~ 5 × 106 m3. A paroxysmal VEI 4 magmatic eruption (with ash column to 17 km altitude) destroyed this dome, greatly enlarged the new summit crater and produced extensive pyroclastic flows (to ~ 16 km radial distance in the Gendol drainage) and surges during the night of 4–5 November. The paroxysmal eruption was followed by a period of jetting of gas and tephra and by a second short period (12 h) of rapid dome growth on 6 November. The eruption ended with low-level ash and steam emissions that buried the 6 November dome with tephra and continued at low levels until seismicity decreased to background levels by about 23 November. Our near-real-time commercial SAR documented the explosive events on 26 October and 4–5 November and high rates of dome growth (> 25 m3 s− 1). An event tree analysis for the previous 2006 Merapi eruption indicated that for lava dome extrusion rates > 1.2 m3 s− 1, the probability of a large (1872-scale) eruption was ~ 10%. Consequently, the order-of-magnitude greater rates in 2010, along with the explosive start of the eruption on 26 October, the large volume of lava accumulating at the summit by 4 November, and the rapid and large increases in seismic energy release, deformation and gas emissions were the basis for warnings of an unusually large eruption by the Indonesian Geological Agency's Center for Volcanology and Geologic Hazard Mitigation (CVGHM) and their Volcano Research and Technology Development Center (BPPTK) in Yogyakarta — warnings that saved thousands of lives.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2012.07.012","usgsCitation":"Pallister, J.S., Schneider, D.J., Griswold, J.P., Keeler, R.H., Burton, W.C., Noyles, C., Newhall, C.G., and Ratdomopurbo, A., 2013, Merapi 2010 eruption—Chronology and extrusion rates monitored with satellite radar and used in eruption forecasting: Journal of Volcanology and Geothermal Research, v. 261, p. 144-152, https://doi.org/10.1016/j.jvolgeores.2012.07.012.","productDescription":"9 p.","startPage":"144","endPage":"152","ipdsId":"IP-039184","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":348081,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Indonesia","otherGeospatial":"Merapi Volcano","volume":"261","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fc2eade4b0531197b27fc5","contributors":{"authors":[{"text":"Pallister, John S. 0000-0002-2041-2147 jpallist@usgs.gov","orcid":"https://orcid.org/0000-0002-2041-2147","contributorId":2024,"corporation":false,"usgs":true,"family":"Pallister","given":"John","email":"jpallist@usgs.gov","middleInitial":"S.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schneider, David J. 0000-0001-9092-1054 djschneider@usgs.gov","orcid":"https://orcid.org/0000-0001-9092-1054","contributorId":198601,"corporation":false,"usgs":true,"family":"Schneider","given":"David","email":"djschneider@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":719510,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Griswold, Julia P. griswold@usgs.gov","contributorId":4148,"corporation":false,"usgs":true,"family":"Griswold","given":"Julia","email":"griswold@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":719511,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keeler, Ronald H.","contributorId":199596,"corporation":false,"usgs":false,"family":"Keeler","given":"Ronald","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":719541,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burton, William C. 0000-0001-7519-5787 bburton@usgs.gov","orcid":"https://orcid.org/0000-0001-7519-5787","contributorId":1293,"corporation":false,"usgs":true,"family":"Burton","given":"William","email":"bburton@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":719542,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Noyles, Christopher","contributorId":199597,"corporation":false,"usgs":false,"family":"Noyles","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":719543,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Newhall, Christopher G.","contributorId":25557,"corporation":false,"usgs":true,"family":"Newhall","given":"Christopher","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":719544,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ratdomopurbo, Antonius","contributorId":22523,"corporation":false,"usgs":true,"family":"Ratdomopurbo","given":"Antonius","email":"","affiliations":[],"preferred":false,"id":719545,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70168465,"text":"70168465 - 2013 - Fall survival of American woodcock in the western Great Lakes Region","interactions":[],"lastModifiedDate":"2016-02-16T11:49:27","indexId":"70168465","displayToPublicDate":"2013-07-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Fall survival of American woodcock in the western Great Lakes Region","docAbstract":"We estimated fall (10 Sep–8 Nov) survival rates, cause-specific mortality rates, and determined the magnitude and sources of mortality of 1,035 radio-marked American woodcock (Scolopax minor) in Michigan, Minnesota, and Wisconsin during 2001–2004. In all 3 states, we radio-marked woodcock on paired study areas; 1 of which was open to hunting and expected to receive moderate to high hunter use and the other of which was either closed to hunting (Michigan and Minnesota) or was relatively inaccessible to hunters (Wisconsin). We used Program MARK to estimate fall survival rates, to evaluate a set of candidate models to examine the effects of hunting and several covariates (sex, age, year, state) on survival, and to examine the relationship between survival rates and kill rates due to hunting. Hunting accounted for 70% of the 86 woodcock deaths in the hunted areas, followed by predation (20%) and various other sources of mortality (10%). Woodcock deaths that occurred in the non-hunted and lightly hunted areas (n = 50) were caused by predators (46%), hunting (32%), and various other sources (22%). Based on small-sample corrected Akaike's Information Criterion values, variation in fall survival of woodcock was best explained by treatment (i.e., hunted vs. non-hunted), year, and period (pre-hunting season intervals vs. hunting season intervals). The average fall survival estimate from our best model for woodcock in the non-hunted areas (0.893, 95% CI = 0.864–0.923) was greater than the average for the hunted areas (0.820, 95% CI = 0.786–0.854 [this estimate includes data from the lightly hunted area in Wisconsin]), and the average treatment effect (i.e., greater survival rates in non-hunted areas) was 0.074 (95% CI = 0.018–0.129). The kill rate due to hunting was 0.120 (95% CI = 0.090–0.151) when data were pooled among states and years. We detected a negative relationship between hunting kill rates and survival in our hunted areas, which suggests that hunting mortality was at least partially additive during fall. Our results illustrate the influence of hunting relative to other sources of mortality in Michigan, Minnesota, and Wisconsin, and indicate that managers may be able to influence fall survival rates by manipulating hunting regulations or access on public land.
","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.547","usgsCitation":"Bruggink, J.G., Oppelt, E.J., Doherty, K., Andersen, D., Jed Meunier, and Lutz, R.S., 2013, Fall survival of American woodcock in the western Great Lakes Region: Journal of Wildlife Management, v. 77, no. 5, p. 1021-1030, https://doi.org/10.1002/jwmg.547.","productDescription":"10 p.","startPage":"1021","endPage":"1030","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032833","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":318070,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Minnesota, Wisconsin","county":"Dickinson County, Lincoln County, Mille Lacs County","otherGeospatial":"Copper Country State Forest, Four Brooks Wildlife Management Area, Lincoln County Forest, Mille Lacs Wildlife Management Area, Tomahawk Timberland Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.75869750976562,\n 45.907211023476776\n ],\n [\n -93.75869750976562,\n 46.08942422913245\n ],\n [\n -93.42910766601562,\n 46.08942422913245\n ],\n [\n -93.42910766601562,\n 45.907211023476776\n ],\n [\n -93.75869750976562,\n 45.907211023476776\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.15704345703124,\n 45.706179285330855\n ],\n [\n -88.15704345703124,\n 46.27483447871401\n ],\n [\n -87.6104736328125,\n 46.27483447871401\n ],\n [\n -87.6104736328125,\n 45.706179285330855\n ],\n [\n -88.15704345703124,\n 45.706179285330855\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.06317138671875,\n 45.12392881616326\n ],\n [\n -90.06317138671875,\n 45.556371735883125\n ],\n [\n -89.46990966796875,\n 45.556371735883125\n ],\n [\n -89.46990966796875,\n 45.12392881616326\n ],\n [\n -90.06317138671875,\n 45.12392881616326\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"77","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-04-08","publicationStatus":"PW","scienceBaseUri":"56c45641e4b0946c65218520","contributors":{"authors":[{"text":"Bruggink, John G.","contributorId":166940,"corporation":false,"usgs":false,"family":"Bruggink","given":"John","email":"","middleInitial":"G.","affiliations":[{"id":24575,"text":"Northern Michigan University, Marquette, MI","active":true,"usgs":false}],"preferred":false,"id":620467,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oppelt, Eileen J.","contributorId":166938,"corporation":false,"usgs":false,"family":"Oppelt","given":"Eileen","email":"","middleInitial":"J.","affiliations":[{"id":24575,"text":"Northern Michigan University, Marquette, MI","active":true,"usgs":false}],"preferred":false,"id":620468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doherty, Kevin","contributorId":166941,"corporation":false,"usgs":false,"family":"Doherty","given":"Kevin","email":"","affiliations":[{"id":24577,"text":"University of Minnesota, St. Paul, MN","active":true,"usgs":false}],"preferred":false,"id":620469,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":2168,"corporation":false,"usgs":true,"family":"Andersen","given":"David E.","email":"dea@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":true,"id":620470,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jed Meunier","contributorId":166939,"corporation":false,"usgs":false,"family":"Jed Meunier","affiliations":[{"id":24576,"text":"University of Wisconsin, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":620471,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lutz, R. Scott","contributorId":166942,"corporation":false,"usgs":false,"family":"Lutz","given":"R.","email":"","middleInitial":"Scott","affiliations":[{"id":24576,"text":"University of Wisconsin, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":620472,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70046718,"text":"ofr20131142 - 2013 - The Regional Salmon Outmigration Study--survival and migration routing of juvenile Chinook salmon in the Sacramento-San Joaquin River Delta during the winter of 2008-09","interactions":[],"lastModifiedDate":"2013-06-28T11:49:19","indexId":"ofr20131142","displayToPublicDate":"2013-06-28T00:00:00","publicationYear":"2013","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":"2013-1142","title":"The Regional Salmon Outmigration Study--survival and migration routing of juvenile Chinook salmon in the Sacramento-San Joaquin River Delta during the winter of 2008-09","docAbstract":"Juvenile Chinook salmon (Oncorhynchus tshawytscha) emigrating from natal tributaries of the Sacramento River may use a number of migration routes to navigate the Sacramento-San Joaquin River Delta (hereafter called “the Delta”), each of which may influence their probability of surviving. We applied a mark-recapture model to data from acoustically tagged juvenile late fall-run Chinook salmon that migrated through the Delta during the winter of 2008–09 to estimate route entrainment, survival, and migration times through the Delta.\n\nA tag-life study was conducted to determine the potential for premature tag failure. Tag failure began after 12 days and continued until the 45th day. Travel times of tagged fish exceeded minimum tag-failure times, indicating that survival estimates obtained from this study were negatively biased due to tag failure prior to fish exiting the Delta. Survival estimates were not adjusted and represent the joint probability of tag survival and fish survival. However, relative comparisons of survival among Chinook salmon choosing different routes appeared to be robust to tag failure, and migration-routing parameters were unaffected by tag failure.\n\nMigration-routing patterns were consistent among release groups. The Sacramento River was the primary migration route for all release groups except one. The percentage of fish entering the Sacramento River ranged from 33 to 55 percent. Sutter and Steamboat Sloughs were the secondary migration route for 9 of the 10 releases. The percentage of fish migrating through this route ranged from 10 to 35 percent. Entrainment into the interior Delta ranged from 15 to 33 percent. The Delta Cross Channel gates were open for 7 of the 10 releases. Entrainment into the interior Delta through the cross channel ranged from 1 to 27 percent.\n\nWe estimated route-specific survival for 10 release groups that were released between November 14, 2008, and January 19, 2009. Population-level survival through the Delta (SDelta) ranged from 0.019 (standard error of 0.012) to 0.277 (standard error of 0.041) among releases, which represent the probability of a fish surviving from Sacramento to Chipps Island with an operational transmitter. Sacramento River flows throughout the study period were approximately 8,000–15,000 cubic feet per second at Freeport, suggesting that variability in flow contributed little to differences in survival between releases. Fish migrating through the Sacramento River had the highest survival for most releases. Survival in Sutter and Steamboat Sloughs was slightly lower than survival in the Sacramento River for 7 of the 10 releases, but higher than survival in the Sacramento River for 3 releases. Survival in the interior Delta was lowest for all release groups except for one release in November. With the exception of this November release, survival patterns across release groups were similar to those of previous studies.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131142","collaboration":"Prepared in cooperation with the California Department of Water Resources and Bureau of Reclamation","usgsCitation":"Romine, J.G., Perry, R.W., Brewer, S.J., Adams, N.S., Liedtke, T.L., Blake, A.R., and Burau, J.R., 2013, The Regional Salmon Outmigration Study--survival and migration routing of juvenile Chinook salmon in the Sacramento-San Joaquin River Delta during the winter of 2008-09: U.S. Geological Survey Open-File Report 2013-1142, vi, 36 p., https://doi.org/10.3133/ofr20131142.","productDescription":"vi, 36 p.","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2008-11-14","temporalEnd":"2009-01-19","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":274296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131142.jpg"},{"id":274293,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1142/"},{"id":274294,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2013/1142/pdf/ofr20131142_appendixD.zip"},{"id":274295,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1142/pdf/ofr20131142.pdf"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-san Joaquin River Delta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.0,37.833333 ], [ -122.0,38.583333 ], [ -121.333333,38.583333 ], [ -121.333333,37.833333 ], [ -122.0,37.833333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51cea255e4b044272b8e890a","contributors":{"authors":[{"text":"Romine, Jason G. 0000-0002-6938-1185 jromine@usgs.gov","orcid":"https://orcid.org/0000-0002-6938-1185","contributorId":2823,"corporation":false,"usgs":true,"family":"Romine","given":"Jason","email":"jromine@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":480081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":480080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brewer, Scott J. sbrewer@usgs.gov","contributorId":4407,"corporation":false,"usgs":true,"family":"Brewer","given":"Scott","email":"sbrewer@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":480084,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, Noah S. 0000-0002-8354-0293 nadams@usgs.gov","orcid":"https://orcid.org/0000-0002-8354-0293","contributorId":3521,"corporation":false,"usgs":true,"family":"Adams","given":"Noah","email":"nadams@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":480083,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Liedtke, Theresa L. 0000-0001-6063-9867 tliedtke@usgs.gov","orcid":"https://orcid.org/0000-0001-6063-9867","contributorId":2999,"corporation":false,"usgs":true,"family":"Liedtke","given":"Theresa","email":"tliedtke@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":480082,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blake, Aaron R. 0000-0001-7348-2336 ablake@usgs.gov","orcid":"https://orcid.org/0000-0001-7348-2336","contributorId":5059,"corporation":false,"usgs":true,"family":"Blake","given":"Aaron","email":"ablake@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480085,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Burau, Jon R. 0000-0002-5196-5035 jrburau@usgs.gov","orcid":"https://orcid.org/0000-0002-5196-5035","contributorId":1500,"corporation":false,"usgs":true,"family":"Burau","given":"Jon","email":"jrburau@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480079,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70046717,"text":"sir20135050 - 2013 - Brookian sequence well log correlation sections and occurrence of gas hydrates, north-central North Slope, Alaska","interactions":[],"lastModifiedDate":"2013-06-27T16:20:22","indexId":"sir20135050","displayToPublicDate":"2013-06-27T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5050","title":"Brookian sequence well log correlation sections and occurrence of gas hydrates, north-central North Slope, Alaska","docAbstract":"Gas hydrates are naturally occurring crystalline, ice-like substances that consist of natural gas molecules trapped in a solid-water lattice. Because of the compact nature of their structure, hydrates can effectively store large volumes of gas and, consequently, have been identified as a potential unconventional energy source. First recognized to exist geologically in the 1960s, significant accumulations of gas hydrate have been found throughout the world. Gas hydrate occurrence is limited to environments such as permafrost regions and subsea sediments because of the pressure and temperature conditions required for their formation and stability. Permafrost-associated gas hydrate accumulations have been discovered in many regions of the Arctic, including Russia, Canada, and the North Slope of Alaska. Gas hydrate research has a long history in northern Alaska. This research includes the drilling, coring, and well log evaluation of two gas hydrate stratigraphic test wells and two resource assessments of gas hydrates on the Alaska North Slope. Building upon these previous investigations, this report provides a summary of the pertinent well log, gas hydrate, and stratigraphic data for key wells related to gas hydrate occurrence in the north-central North Slope. The data are presented in nine well log correlation sections with 122 selected wells to provide a regional context for gas hydrate accumulations and the relation of the accumulations to key stratigraphic horizons and to the base of the ice-bearing permafrost. Also included is a well log database that lists the location, available well logs, depths, and other pertinent information for each of the wells on the correlation section.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135050","usgsCitation":"Lewis, K.A., and Collett, T.S., 2013, Brookian sequence well log correlation sections and occurrence of gas hydrates, north-central North Slope, Alaska: U.S. Geological Survey Scientific Investigations Report 2013-5050, Report: vi, 25 p., https://doi.org/10.3133/sir20135050.","productDescription":"Report: vi, 25 p.","numberOfPages":"33","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":274283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135050.gif"},{"id":274280,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5050/"},{"id":274281,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5050/SIR13-5050_508.pdf"},{"id":274282,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5050/downloads2/"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.015277777777777777,6.151944444444445 ], [ -0.015277777777777777,0.0019444444444444444 ], [ -0.015555555555555555,0.0019444444444444444 ], [ -0.015555555555555555,6.151944444444445 ], [ -0.015277777777777777,6.151944444444445 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51cd50d6e4b0e7a904971bab","contributors":{"authors":[{"text":"Lewis, Kristen A. 0000-0003-4991-3399 klewis@usgs.gov","orcid":"https://orcid.org/0000-0003-4991-3399","contributorId":4120,"corporation":false,"usgs":true,"family":"Lewis","given":"Kristen","email":"klewis@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":480078,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":480077,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046716,"text":"ofr20131115 - 2013 - Assessing the use of existing data to compare plains fish assemblages collected from random and fixed sites in Colorado","interactions":[],"lastModifiedDate":"2013-06-27T16:04:29","indexId":"ofr20131115","displayToPublicDate":"2013-06-27T00:00:00","publicationYear":"2013","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":"2013-1115","title":"Assessing the use of existing data to compare plains fish assemblages collected from random and fixed sites in Colorado","docAbstract":"The U.S. Geological Survey, in cooperation with Colorado Parks and Wildlife, assessed the potential use of combining recently (2007 to 2010) and formerly (1992 to 1996) collected data to compare plains fish assemblages sampled from random and fixed sites located in the South Platte and Arkansas River Basins in Colorado. The first step was to determine if fish assemblages collected between 1992 and 1996 were comparable to samples collected at the same sites between 2007 and 2010. If samples from the two time periods were comparable, then it was considered reasonable that the combined time-period data could be used to make comparisons between random and fixed sites. In contrast, if differences were found between the two time periods, then it was considered unreasonable to use these data to make comparisons between random and fixed sites. One-hundred samples collected during the 1990s and 2000s from 50 sites dispersed among 19 streams in both basins were compiled from a database maintained by Colorado Parks and Wildlife. Nonparametric multivariate two-way analysis of similarities was used to test for fish-assemblage differences between time periods while accounting for stream-to-stream differences. Results indicated relatively weak but significant time-period differences in fish assemblages. Weak time-period differences in this case possibly were related to changes in fish assemblages associated with environmental factors; however, it is difficult to separate other possible explanations such as limited replication of paired time-period samples in many of the streams or perhaps differences in sampling efficiency and effort between the time periods. Regardless, using the 1990s data to fill data gaps to compare random and fixed-site fish-assemblage data is ill advised based on the significant separation in fish assemblages between time periods and the inability to determine conclusive explanations for these results. These findings indicated that additional sampling will be necessary before unbiased comparisons can be made between fish assemblages collected from random and fixed sites in the South Platte and Arkansas River Basins.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131115","collaboration":"Prepared in cooperation with Colorado Parks and Wildlife","usgsCitation":"Zuellig, R.E., and Crockett, H.J., 2013, Assessing the use of existing data to compare plains fish assemblages collected from random and fixed sites in Colorado: U.S. Geological Survey Open-File Report 2013-1115, iv, 9 p., https://doi.org/10.3133/ofr20131115.","productDescription":"iv, 9 p.","numberOfPages":"13","onlineOnly":"Y","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":274279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131115.gif"},{"id":274278,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1115/OF13-1115_508.pdf"},{"id":274277,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1115/"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -0.016666666666666666,8.333333333333334E-4 ], [ -0.016666666666666666,0.0011111111111111111 ], [ -0.016666666666666666,0.0011111111111111111 ], [ -0.016666666666666666,8.333333333333334E-4 ], [ -0.016666666666666666,8.333333333333334E-4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51cd50d1e4b0e7a904971ba7","contributors":{"authors":[{"text":"Zuellig, Robert E. 0000-0002-4784-2905 rzuellig@usgs.gov","orcid":"https://orcid.org/0000-0002-4784-2905","contributorId":1620,"corporation":false,"usgs":true,"family":"Zuellig","given":"Robert","email":"rzuellig@usgs.gov","middleInitial":"E.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480075,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crockett, Harry J.","contributorId":75417,"corporation":false,"usgs":true,"family":"Crockett","given":"Harry","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":480076,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70045753,"text":"70045753 - 2013 - The relative contribution of methanotrophs to microbial communities and carbon cycling in soil overlying a coal-bed methane seep","interactions":[],"lastModifiedDate":"2013-06-26T11:45:13","indexId":"70045753","displayToPublicDate":"2013-06-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1619,"text":"FEMS Microbiology Ecology","onlineIssn":"1574-6941","printIssn":"0168-6496","active":true,"publicationSubtype":{"id":10}},"title":"The relative contribution of methanotrophs to microbial communities and carbon cycling in soil overlying a coal-bed methane seep","docAbstract":"Seepage of coal-bed methane (CBM) through soils is a potential source of atmospheric CH4 and also a likely source of ancient (i.e. 14C-dead) carbon to soil microbial communities. Natural abundance 13C and 14C compositions of bacterial membrane phospholipid fatty acids (PLFAs) and soil gas CO2 and CH4 were used to assess the incorporation of CBM-derived carbon into methanotrophs and other members of the soil microbial community. Concentrations of type I and type II methanotroph PLFA biomarkers (16:1ω8c and 18:1ω8c, respectively) were elevated in CBM-impacted soils compared with a control site. Comparison of PLFA and 16s rDNA data suggested type I and II methanotroph populations were well estimated and overestimated by their PLFA biomarkers, respectively. The δ13C values of PLFAs common in type I and II methanotrophs were as negative as −67‰ and consistent with the assimilation of CBM. PLFAs more indicative of nonmethanotrophic bacteria had δ13C values that were intermediate indicating assimilation of both plant- and CBM-derived carbon. Δ14C values of select PLFAs (−351 to −936‰) indicated similar patterns of CBM assimilation by methanotrophs and nonmethanotrophs and were used to estimate that 35–91% of carbon assimilated by nonmethanotrophs was derived from CBM depending on time of sampling and soil depth.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"FEMS Microbiology Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/1574-6941.12079","usgsCitation":"Mills, C., Slater, G.F., Dias, R.F., Carr, S.A., Reddy, C., Schmidt, R., and Mandernack, K.W., 2013, The relative contribution of methanotrophs to microbial communities and carbon cycling in soil overlying a coal-bed methane seep: FEMS Microbiology Ecology, v. 84, no. 3, p. 474-494, https://doi.org/10.1111/1574-6941.12079.","productDescription":"21 p.","startPage":"474","endPage":"494","ipdsId":"IP-042235","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":274255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274254,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/1574-6941.12079"}],"volume":"84","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-02-19","publicationStatus":"PW","scienceBaseUri":"51cbff58e4b052f2a453988f","contributors":{"authors":[{"text":"Mills, Christopher T. 0000-0001-8414-1414","orcid":"https://orcid.org/0000-0001-8414-1414","contributorId":93308,"corporation":false,"usgs":true,"family":"Mills","given":"Christopher T.","affiliations":[],"preferred":false,"id":478286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slater, Gregory F.","contributorId":108010,"corporation":false,"usgs":true,"family":"Slater","given":"Gregory","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":478288,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dias, Robert F. rfdias@usgs.gov","contributorId":3746,"corporation":false,"usgs":true,"family":"Dias","given":"Robert","email":"rfdias@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":true,"id":478282,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carr, Stephanie A.","contributorId":8752,"corporation":false,"usgs":true,"family":"Carr","given":"Stephanie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":478283,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reddy, Christopher M.","contributorId":103164,"corporation":false,"usgs":true,"family":"Reddy","given":"Christopher M.","affiliations":[],"preferred":false,"id":478287,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schmidt, Raleigh","contributorId":85306,"corporation":false,"usgs":true,"family":"Schmidt","given":"Raleigh","email":"","affiliations":[],"preferred":false,"id":478285,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mandernack, Kevin W.","contributorId":43258,"corporation":false,"usgs":true,"family":"Mandernack","given":"Kevin","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":478284,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70046703,"text":"sir20125209 - 2013 - Estimates of the volume of water in five coal aquifers, Northern Cheyenne Indian Reservation, southeastern Montana","interactions":[],"lastModifiedDate":"2013-06-26T09:37:49","indexId":"sir20125209","displayToPublicDate":"2013-06-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5209","title":"Estimates of the volume of water in five coal aquifers, Northern Cheyenne Indian Reservation, southeastern Montana","docAbstract":"The Tongue River Member of the Tertiary Fort Union Formation is the primary source of groundwater in the Northern Cheyenne Indian Reservation in southeastern Montana. Coal beds within this formation generally contain the most laterally extensive aquifers in much of the reservation. The U.S. Geological Survey, in cooperation with the Northern Cheyenne Tribe, conducted a study to estimate the volume of water in five coal aquifers.\n\nThis report presents estimates of the volume of water in five coal aquifers in the eastern and southern parts of the Northern Cheyenne Indian Reservation: the Canyon, Wall, Pawnee, Knobloch, and Flowers-Goodale coal beds in the Tongue River Member of the Tertiary Fort Union Formation. Only conservative estimates of the volume of water in these coal aquifers are presented.\n\nThe volume of water in the Canyon coal was estimated to range from about 10,400 acre-feet (75 percent saturated) to 3,450 acre-feet (25 percent saturated). The volume of water in the Wall coal was estimated to range from about 14,200 acre-feet (100 percent saturated) to 3,560 acre-feet (25 percent saturated). The volume of water in the Pawnee coal was estimated to range from about 9,440 acre-feet (100 percent saturated) to 2,360 acre-feet (25 percent saturated). The volume of water in the Knobloch coal was estimated to range from about 38,700 acre-feet (100 percent saturated) to 9,680 acre-feet (25 percent saturated). The volume of water in the Flowers-Goodale coal was estimated to be about 35,800 acre-feet (100 percent saturated).\n\nSufficient data are needed to accurately characterize coal-bed horizontal and vertical variability, which is highly complex both locally and regionally. Where data points are widely spaced, the reliability of estimates of the volume of coal beds is decreased. Additionally, reliable estimates of the volume of water in coal aquifers depend heavily on data about water levels and data about coal-aquifer characteristics. Because the data needed to define the volume of water were sparse, only conservative estimates of the volume of water in the five coal aquifers are presented in this report. These estimates need to be used with caution and mindfulness of the uncertainty associated with them.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125209","collaboration":"Prepared in cooperation with the Northern Cheyenne Tribe","usgsCitation":"Tuck, L., Pearson, D., Cannon, M.R., and Dutton, D., 2013, Estimates of the volume of water in five coal aquifers, Northern Cheyenne Indian Reservation, southeastern Montana: U.S. Geological Survey Scientific Investigations Report 2012-5209, vi, 26 p., https://doi.org/10.3133/sir20125209.","productDescription":"vi, 26 p.","numberOfPages":"35","additionalOnlineFiles":"N","costCenters":[{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":274237,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125209.gif"},{"id":274235,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5209/"},{"id":274236,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5209/sir2012-5209.pdf"}],"country":"United States","state":"Montana","otherGeospatial":"Northern Cheyenne Indian Reservation","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.083333,45.166667 ], [ -107.083333,45.75 ], [ -106.166667,45.75 ], [ -106.166667,45.166667 ], [ -107.083333,45.166667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51cbff4fe4b052f2a453985f","contributors":{"authors":[{"text":"Tuck, L.K.","contributorId":54247,"corporation":false,"usgs":true,"family":"Tuck","given":"L.K.","email":"","affiliations":[],"preferred":false,"id":480041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearson, Daniel K.","contributorId":52014,"corporation":false,"usgs":true,"family":"Pearson","given":"Daniel K.","affiliations":[],"preferred":false,"id":480040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cannon, M. R.","contributorId":99140,"corporation":false,"usgs":true,"family":"Cannon","given":"M.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":480042,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dutton, DeAnn M. ddutton@usgs.gov","contributorId":20762,"corporation":false,"usgs":true,"family":"Dutton","given":"DeAnn M.","email":"ddutton@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480039,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70040668,"text":"70040668 - 2013 - Human-caused mortality influences spatial population dynamics: pumas in landscapes with varying mortality risks","interactions":[],"lastModifiedDate":"2013-06-26T15:38:26","indexId":"70040668","displayToPublicDate":"2013-06-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Human-caused mortality influences spatial population dynamics: pumas in landscapes with varying mortality risks","docAbstract":"An understanding of how stressors affect dispersal attributes and the contribution of local populations to multi-population dynamics are of immediate value to basic and applied ecology. Puma (Puma concolor) populations are expected to be influenced by inter-population movements and susceptible to human-induced source–sink dynamics. Using long-term datasets we quantified the contribution of two puma populations to operationally define them as sources or sinks. The puma population in the Northern Greater Yellowstone Ecosystem (NGYE) was largely insulated from human-induced mortality by Yellowstone National Park. Pumas in the western Montana Garnet Mountain system were exposed to greater human-induced mortality, which changed over the study due to the closure of a 915 km2 area to hunting. The NGYE’s population growth depended on inter-population movements, as did its ability to act as a source to the larger region. The heavily hunted Garnet area was a sink with a declining population until the hunting closure, after which it became a source with positive intrinsic growth and a 16× increase in emigration. We also examined the spatial and temporal characteristics of individual dispersal attributes (emigration, dispersal distance, establishment success) of subadult pumas (N = 126). Human-caused mortality was found to negatively impact all three dispersal components. Our results demonstrate the influence of human-induced mortality on not only within population vital rates, but also inter-population vital rates, affecting the magnitude and mechanisms of local population’s contribution to the larger metapopulation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Conservation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2012.10.018","usgsCitation":"Newby, J.R., Mills, L.S., Ruth, T.K., Pletscher, D.H., Mitchell, M.S., Quigley, H.B., Murphy, K.M., and DeSimone, R., 2013, Human-caused mortality influences spatial population dynamics: pumas in landscapes with varying mortality risks: Biological Conservation, v. 159, p. 230-239, https://doi.org/10.1016/j.biocon.2012.10.018.","productDescription":"10 p.","startPage":"230","endPage":"239","ipdsId":"IP-032926","costCenters":[{"id":399,"text":"Montana Cooperative Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":274264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274263,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.biocon.2012.10.018"}],"country":"United States","volume":"159","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51cbff54e4b052f2a4539867","contributors":{"authors":[{"text":"Newby, Jesse R.","contributorId":100718,"corporation":false,"usgs":true,"family":"Newby","given":"Jesse","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":468753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mills, L. Scott","contributorId":89431,"corporation":false,"usgs":true,"family":"Mills","given":"L.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":468751,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruth, Toni K.","contributorId":43657,"corporation":false,"usgs":true,"family":"Ruth","given":"Toni","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":468750,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pletscher, Daniel H.","contributorId":30894,"corporation":false,"usgs":true,"family":"Pletscher","given":"Daniel","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":468749,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":468746,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Quigley, Howard B.","contributorId":13198,"corporation":false,"usgs":true,"family":"Quigley","given":"Howard","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":468747,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Murphy, Kerry M.","contributorId":14279,"corporation":false,"usgs":true,"family":"Murphy","given":"Kerry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":468748,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"DeSimone, Rich","contributorId":99451,"corporation":false,"usgs":true,"family":"DeSimone","given":"Rich","email":"","affiliations":[],"preferred":false,"id":468752,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70046705,"text":"ds762 - 2013 - Geophysical logging and geologic mapping data in the vicinity of the GMH Electronics Superfund site near Roxboro, North Carolina","interactions":[],"lastModifiedDate":"2026-05-19T16:25:40.053679","indexId":"ds762","displayToPublicDate":"2013-06-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"762","title":"Geophysical logging and geologic mapping data in the vicinity of the GMH Electronics Superfund site near Roxboro, North Carolina","docAbstract":"Geologic mapping, the collection of borehole geophysical logs and images, and passive diffusion bag sampling were conducted by the U.S. Geological Survey North Carolina Water Science Center in the vicinity of the GMH Electronics Superfund site near Roxboro, North Carolina, during March through October 2011. The study purpose was to assist the U.S. Environmental Protection Agency in the development of a conceptual groundwater model for the assessment of current contaminant distribution and future migration of contaminants. Data compilation efforts included geologic mapping of more than 250 features, including rock type and secondary joints, delineation of more than 1,300 subsurface features (primarily fracture orientations) in 15 open borehole wells, and the collection of passive diffusion-bag samples from 42 fracture zones at various depths in the 15 wells.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds762","collaboration":"Prepared in cooperation with U.S. Environmental Protection Agency Region 4 Superfund Section","usgsCitation":"Chapman, M.J., Clark, T.W., and Williams, J., 2013, Geophysical logging and geologic mapping data in the vicinity of the GMH Electronics Superfund site near Roxboro, North Carolina: U.S. Geological Survey Data Series 762, Report: viii, 37 p.; Appendixes 1-8, https://doi.org/10.3133/ds762.","productDescription":"Report: viii, 37 p.; Appendixes 1-8","numberOfPages":"47","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":504533,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_98593.htm","linkFileType":{"id":5,"text":"html"}},{"id":274259,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds762.gif"},{"id":274257,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/762/pdf/ds762.pdf"},{"id":274256,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/762/"},{"id":274258,"rank":1,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/762/appendix"}],"country":"United States","state":"North Carolina","city":"Roxboro","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84.32,33.84 ], [ -84.32,36.58 ], [ -75.46,36.58 ], [ -75.46,33.84 ], [ -84.32,33.84 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51cbff54e4b052f2a4539863","contributors":{"authors":[{"text":"Chapman, Melinda J. 0000-0003-4021-0320 mjchap@usgs.gov","orcid":"https://orcid.org/0000-0003-4021-0320","contributorId":1597,"corporation":false,"usgs":true,"family":"Chapman","given":"Melinda","email":"mjchap@usgs.gov","middleInitial":"J.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Timothy W.","contributorId":104377,"corporation":false,"usgs":true,"family":"Clark","given":"Timothy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":480049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, John H. 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","middleInitial":"H.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480047,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70046040,"text":"70046040 - 2013 - Measuring the relative resilience of subarctic lakes to global change: redundancies of functions within and across temporal scales","interactions":[],"lastModifiedDate":"2017-02-13T14:31:47","indexId":"70046040","displayToPublicDate":"2013-06-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Measuring the relative resilience of subarctic lakes to global change: redundancies of functions within and across temporal scales","docAbstract":"1. Ecosystems at high altitudes and latitudes are expected to be particularly vulnerable to the effects of global change. We assessed the responses of littoral invertebrate communities to changing abiotic conditions in subarctic Swedish lakes with long-term data (1988–2010) and compared the responses of subarctic lakes with those of more southern, hemiboreal lakes. 2. We used a complex systems approach, based on multivariate time-series modelling, and identified dominant and distinct temporal frequencies in the data; that is, we tracked community change at distinct temporal scales. We determined the distribution of functional feeding groups of invertebrates within and across temporal scales. Within and cross-scale distributions of functions have been considered to confer resilience to ecosystems, despite changing environmental conditions. 3. Two patterns of temporal change within the invertebrate communities were identified that were consistent across the lakes. The first pattern was one of monotonic change associated with changing abiotic lake conditions. The second was one of showing fluctuation patterns largely unrelated to gradual environmental change. Thus, two dominant and distinct temporal frequencies (temporal scales) were present in all lakes analysed. 4. Although the contribution of individual feeding groups varied between subarctic and hemiboreal lakes, they shared overall similar functional attributes (richness, evenness, diversity) and redundancies of functions within and between the observed temporal scales. This highlights similar resilience characteristics in subarctic and hemiboreal lakes. 5. Synthesis and applications. The effects of global change can be particularly strong at a single scale in ecosystems. Over time, this can cause monotonic change in communities and eventually lead to a loss of important ecosystem services upon reaching a critical threshold. Dynamics at other spatial or temporal scales can be unrelated to environmental change. The relative ‘intactness’ of these scales that are unaffected by global change and the persistence of functions at those scales may safeguard the whole system from the potential loss of functions at the scale at which global change impacts can be substantial. Thus, an understanding of scale-specific processes provides managers with a realistic assessment of vulnerabilities and the relative resilience of ecosystems to environmental change. Explicit consideration of ‘intact’ and ‘affected’ scales in analyses of global change impacts provides opportunities to tailor more specific management plans.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.12092","usgsCitation":"Angeler, D., Allen, C.R., and Johnson, R.K., 2013, Measuring the relative resilience of subarctic lakes to global change: redundancies of functions within and across temporal scales: Journal of Applied Ecology, v. 50, no. 3, p. 572-584, https://doi.org/10.1111/1365-2664.12092.","productDescription":"13 p.","startPage":"572","endPage":"584","ipdsId":"IP-043647","costCenters":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":473729,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12092","text":"Publisher Index Page"},{"id":274251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274250,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/1365-2664.12092"}],"volume":"50","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-04-29","publicationStatus":"PW","scienceBaseUri":"51cbff56e4b052f2a4539877","contributors":{"authors":[{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":478742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":478740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Richard K.","contributorId":21810,"corporation":false,"usgs":true,"family":"Johnson","given":"Richard","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":478741,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70046704,"text":"ds778 - 2013 - SSR_pipeline--computer software for the identification of microsatellite sequences from paired-end Illumina high-throughput DNA sequence data","interactions":[],"lastModifiedDate":"2013-06-26T09:52:58","indexId":"ds778","displayToPublicDate":"2013-06-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"778","title":"SSR_pipeline--computer software for the identification of microsatellite sequences from paired-end Illumina high-throughput DNA sequence data","docAbstract":"SSR_pipeline is a flexible set of programs designed to efficiently identify simple sequence repeats (SSRs; for example, microsatellites) from paired-end high-throughput Illumina DNA sequencing data. The program suite contains three analysis modules along with a fourth control module that can be used to automate analyses of large volumes of data. The modules are used to (1) identify the subset of paired-end sequences that pass quality standards, (2) align paired-end reads into a single composite DNA sequence, and (3) identify sequences that possess microsatellites conforming to user specified parameters. Each of the three separate analysis modules also can be used independently to provide greater flexibility or to work with FASTQ or FASTA files generated from other sequencing platforms (Roche 454, Ion Torrent, etc).\n\nAll modules are implemented in the Python programming language and can therefore be used from nearly any computer operating system (Linux, Macintosh, Windows). The program suite relies on a compiled Python extension module to perform paired-end alignments. Instructions for compiling the extension from source code are provided in the documentation. Users who do not have Python installed on their computers or who do not have the ability to compile software also may choose to download packaged executable files. These files include all Python scripts, a copy of the compiled extension module, and a minimal installation of Python in a single binary executable. See program documentation for more information.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds778","usgsCitation":"Miller, M.P., Knaus, B.J., Mullins, T., and Haig, S.M., 2013, SSR_pipeline--computer software for the identification of microsatellite sequences from paired-end Illumina high-throughput DNA sequence data: U.S. Geological Survey Data Series 778, HTML Document; Program Documentation; Program Executable Files, https://doi.org/10.3133/ds778.","productDescription":"HTML Document; Program Documentation; Program Executable Files","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":274247,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds778.jpg"},{"id":274240,"type":{"id":19,"text":"Raw Data"},"url":"https://pubs.usgs.gov/ds/778/01_SSR_pipeline_0.95_src_and_docs.tgz"},{"id":274241,"type":{"id":19,"text":"Raw Data"},"url":"https://pubs.usgs.gov/ds/778/03_SSR_pipeline_sample_data.zip"},{"id":274238,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/778/"},{"id":274242,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/778/04_SSR_pipeline_documentation.pdf"},{"id":274239,"type":{"id":19,"text":"Raw Data"},"url":"https://pubs.usgs.gov/ds/778/02_SSR_pipeline_0.95_src_and_docs.zip"},{"id":274243,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/778/05_SSR_pipeline_0.95_win32_executeables.zip"},{"id":274244,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/778/08_SSR_pipeline_0.95_32bit_linux.tar.gz"},{"id":274245,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/778/06_SSR_pipeline_0.95_64bit_linux.tar.gz"},{"id":274246,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/778/07_SSR_pipeline_0.95_OSX64bit.tar.gz"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51cbff57e4b052f2a453988b","contributors":{"authors":[{"text":"Miller, Mark P. 0000-0003-1045-1772 mpmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-1045-1772","contributorId":1967,"corporation":false,"usgs":true,"family":"Miller","given":"Mark","email":"mpmiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":480044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knaus, Brian J.","contributorId":107167,"corporation":false,"usgs":true,"family":"Knaus","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":480046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mullins, Thomas D.","contributorId":12819,"corporation":false,"usgs":true,"family":"Mullins","given":"Thomas D.","affiliations":[],"preferred":false,"id":480045,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":480043,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70045517,"text":"70045517 - 2013 - Mapping polar bear maternal denning habitat in the National Petroleum Reserve -- Alaska with an IfSAR digital terrain model","interactions":[],"lastModifiedDate":"2020-12-18T19:45:23.718589","indexId":"70045517","displayToPublicDate":"2013-06-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":894,"text":"Arctic","active":true,"publicationSubtype":{"id":10}},"title":"Mapping polar bear maternal denning habitat in the National Petroleum Reserve -- Alaska with an IfSAR digital terrain model","docAbstract":"The National Petroleum Reserve–Alaska (NPR-A) in northeastern Alaska provides winter maternal denning habitat for polar bears (Ursus maritimus) and also has high potential for recoverable hydrocarbons. Denning polar bears exposed to human activities may abandon their dens before their young are able to survive the severity of Arctic winter weather. To ensure that wintertime petroleum activities do not threaten polar bears, managers need to know the distribution of landscape features in which maternal dens are likely to occur. Here, we present a map of potential denning habitat within the NPR-A. We used a fine-grain digital elevation model derived from Interferometric Synthetic Aperture Radar (IfSAR) to generate a map of putative denning habitat. We then tested the map’s ability to identify polar bear denning habitat on the landscape. Our final map correctly identified 82% of denning habitat estimated to be within the NPR-A. Mapped denning habitat comprised 19.7 km2 (0.1% of the study area) and was widely dispersed. Though mapping denning habitat with IfSAR data was as effective as mapping with the photogrammetric methods used for other regions of the Alaskan Arctic coastal plain, the use of GIS to analyze IfSAR data allowed greater objectivity and flexibility with less manual labor. Analytical advantages and performance equivalent to that of manual cartographic methods suggest that the use of IfSAR data to identify polar bear maternal denning habitat is a better management tool in the NPR-A and wherever such data may be available.
","language":"English","publisher":"Arctic Institute of North America","doi":"10.14430/arctic4291","usgsCitation":"Durner, G.M., Simac, K.S., and Amstrup, S.C., 2013, Mapping polar bear maternal denning habitat in the National Petroleum Reserve -- Alaska with an IfSAR digital terrain model: Arctic, v. 66, no. 2, p. 139-245, https://doi.org/10.14430/arctic4291.","productDescription":"107 p.","startPage":"139","endPage":"245","ipdsId":"IP-042296","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":489049,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14430/arctic4291","text":"Publisher Index Page"},{"id":438786,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7DJ5DXT","text":"USGS data release","linkHelpText":"Mapping data of Polar Bear (Ursus maritimus) maternal den habitat, Arctic Coastal Plain, Alaska"},{"id":381515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"National Petroleum Reserve","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,51.2 ], [ 172.5,71.4 ], [ -130.0,71.4 ], [ -130.0,51.2 ], [ 172.5,51.2 ] ] ] } } ] }","volume":"66","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-06-05","publicationStatus":"PW","scienceBaseUri":"51caadcfe4b0d298e5434c0d","contributors":{"authors":[{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":477705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simac, Kristin S. 0000-0002-4072-1940 ksimac@usgs.gov","orcid":"https://orcid.org/0000-0002-4072-1940","contributorId":131096,"corporation":false,"usgs":true,"family":"Simac","given":"Kristin","email":"ksimac@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":477706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":477707,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70046691,"text":"sim3263 - 2013 - Water-level altitudes 2013 and water-level changes in the Chicot, Evangeline, and Jasper aquifers and compaction 1973--2012 in the Chicot and Evangeline aquifers, Houston-Galveston region, Texas","interactions":[],"lastModifiedDate":"2016-08-05T14:00:01","indexId":"sim3263","displayToPublicDate":"2013-06-25T00:00:00","publicationYear":"2013","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":"3263","title":"Water-level altitudes 2013 and water-level changes in the Chicot, Evangeline, and Jasper aquifers and compaction 1973--2012 in the Chicot and Evangeline aquifers, Houston-Galveston region, Texas","docAbstract":"Most of the subsidence in the Houston-Galveston region, Texas, has occurred as a direct result of groundwater withdrawals for municipal supply, commercial and industrial use, and irrigation that depressured and dewatered the Chicot and Evangeline aquifers, thereby causing compaction mostly in the clay and silt layers of the aquifer sediments. This report, prepared by the U.S. Geological Survey in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District, is one in an annual series of reports depicting water-level altitudes and water-level changes in the Chicot, Evangeline, and Jasper aquifers and measured compaction of subsurface sediments in the Chicot and Evangeline aquifers in the Houston-Galveston region. The report contains maps depicting approximate water-level altitudes for 2013 (represented by measurements made during December 2012-February 2013) for the Chicot, Evangeline, and Jasper aquifers; maps depicting 1-year (2012-13) water-level changes for each aquifer; maps depicting 5-year (2008--13) water-level changes for each aquifer; maps depicting long-term (1990-2013 and 1977-2013) water-level changes for the Chicot and Evangeline aquifers; a map depicting long-term (2000-13) water-level changes for the Jasper aquifer; a map depicting locations of borehole-extensometer sites; and graphs depicting measured compaction of subsurface sediments at the extensometers during 1973-2012. Tables listing the data used to construct each water-level map for each aquifer and the compaction graphs are included.
\nIn 2013, water-level-altitude contours for the Chicot aquifer ranged from 200 feet (ft) below North American Vertical Datum of 1988 (hereinafter, datum) in a small area in southwestern Harris County to 200 ft above datum in central to west-central Montgomery County. Water-level changes during 2012-13 in the Chicot aquifer ranged from a 58-ft decline to a 37-ft rise. Contoured 5-year and long-term changes in water levels in the Chicot aquifer ranged from a 30-ft decline to an 80-ft rise (2008-13), from a 120-ft decline to a 100-ft rise (1990-2013), and from an 80-ft decline to a 200-ft rise (1977-2013). In 2013, water-level-altitude contours for the Evangeline aquifer ranged from 300 ft below datum in south-central Montgomery County to 200 ft above datum in southeastern Grimes and northwestern Montgomery Counties. Water-level changes for 2012-13 in the Evangeline aquifer ranged from a 37-ft decline to a 68-ft rise. Contoured 5-year and long-term changes in water levels in the Evangeline aquifer ranged from an 80-ft decline to an 80-ft rise (2008-13), from a 220-ft decline to a 220-ft rise (1990-2013), and from a 360-ft decline to a 260-ft rise (1977-2013). In 2013, water-level-altitude contours for the Jasper aquifer ranged from 200 ft below datum in south-central Montgomery and north-central Harris Counties to 250 ft above datum in northwestern Montgomery County and extending into northeastern Grimes and south-central Walker Counties. Water-level changes for 2012-13 in the Jasper aquifer ranged from a 36-ft decline to an 87-ft rise. Contoured changes in water levels in the Jasper aquifer ranged from a 100-ft decline to 20-ft rise (2008-13) and from a 220-ft decline to no change (2000-13).
\nCompaction of subsurface sediments (mostly in the clay and silt layers) of the Chicot and Evangeline aquifers was recorded continuously by 13 borehole extensometers at 11 sites that were either activated or installed between 1973 and 1980. For the period of record beginning in 1973 (or later depending on activation or installation date) and ending in December 2012, cumulative measured compaction by 12 of the 13 extensometers ranged from 0.100 ft at the Texas City-Moses Lake extensometer to 3.632 ft at the Addicks extensometer (data were used from only one of two extensometers at one site). The rate of compaction varies from site to site because of differences in groundwater withdrawals near each site and differences among sites in the clay-to-sand ratio in the subsurface sediments. Therefore, it is not possible to extrapolate or infer a rate of compaction for adjacent areas based on the rate of compaction measured at a nearby extensometer.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3263","collaboration":"Prepared in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District","usgsCitation":"Kasmarek, M.C., Johnson, M., and Ramage, J.K., 2013, Water-level altitudes 2013 and water-level changes in the Chicot, Evangeline, and Jasper aquifers and compaction 1973--2012 in the Chicot and Evangeline aquifers, Houston-Galveston region, Texas: U.S. Geological Survey Scientific Investigations Map 3263, Report: viii, 19 p.; 16 Sheets: 17.00 x 22.01 inches or smaller; 15 Tables: xlsx files; 3 Appendixes; Dataset; ReadME file, https://doi.org/10.3133/sim3263.","productDescription":"Report: viii, 19 p.; 16 Sheets: 17.00 x 22.01 inches or smaller; 15 Tables: xlsx files; 3 Appendixes; Dataset; ReadME file","numberOfPages":"30","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1973-01-01","temporalEnd":"2012-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":274183,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3263.gif"},{"id":274161,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet01.pdf"},{"id":274162,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet02.pdf"},{"id":274159,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3263/SIM_3263.pdf"},{"id":274160,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3263/"},{"id":274163,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet03.pdf"},{"id":274164,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet04.pdf"},{"id":274165,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet05.pdf"},{"id":274166,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet06.pdf"},{"id":274167,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet08.pdf"},{"id":274168,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet07.pdf"},{"id":274170,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet09.pdf"},{"id":274171,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet10.pdf"},{"id":274172,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet11.pdf"},{"id":274173,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet12.pdf"},{"id":274174,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet13.pdf"},{"id":274175,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet15.pdf"},{"id":274176,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet14.pdf"},{"id":274177,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Sheets/Sheet16.pdf"},{"id":274178,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Tables/"},{"id":274179,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Appendixes/"},{"id":274180,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Metadata/"},{"id":274181,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3263/downloads/Metadata/README.TXT"}],"scale":"100000","projection":"Universal Transverse Mercator projection, Zone 15","datum":"North American Datum of 1927","country":"United States","state":"Texas","city":"Galveston, Houston","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.0782,29.1294 ], [ -96.0782,30.7218 ], [ -94.4948,30.7218 ], [ -94.4948,29.1294 ], [ -96.0782,29.1294 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51caadd5e4b0d298e5434c19","contributors":{"authors":[{"text":"Kasmarek, Mark C. 0000-0003-2808-2506 mckasmar@usgs.gov","orcid":"https://orcid.org/0000-0003-2808-2506","contributorId":1968,"corporation":false,"usgs":true,"family":"Kasmarek","given":"Mark","email":"mckasmar@usgs.gov","middleInitial":"C.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Michaela R. 0000-0001-6133-0247 mrjohns@usgs.gov","orcid":"https://orcid.org/0000-0001-6133-0247","contributorId":1013,"corporation":false,"usgs":true,"family":"Johnson","given":"Michaela R.","email":"mrjohns@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramage, Jason K. 0000-0001-8014-2874 jkramage@usgs.gov","orcid":"https://orcid.org/0000-0001-8014-2874","contributorId":3856,"corporation":false,"usgs":true,"family":"Ramage","given":"Jason","email":"jkramage@usgs.gov","middleInitial":"K.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480021,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70046696,"text":"ds754 - 2013 - National wildlife refuge visitor survey 2012--Individual refuge results","interactions":[],"lastModifiedDate":"2013-06-25T15:30:26","indexId":"ds754","displayToPublicDate":"2013-06-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"754","title":"National wildlife refuge visitor survey 2012--Individual refuge results","docAbstract":"The National Wildlife Refuge System (Refuge System), established in 1903 and managed by the U.S. Fish and Wildlife Service (Service), is the leading network of protected lands and waters in the world dedicated to the conservation of fish, wildlife and their habitats. There are 560 national wildlife refuges and 38 wetland management districts nationwide, encompassing more than 150 million acres. The Refuge System attracts nearly 45 million visitors annually, including 34.8 million people who observe and photograph wildlife, 9.6 million who hunt and fish, and nearly 675,000 teachers and students who use refuges as outdoor classrooms. Understanding visitor perceptions of refuges and characterizing their experiences on refuges are critical elements of managing these lands and meeting the goals of the Refuge System. The Service collaborated with the U.S. Geological Survey to conduct a national survey of visitors regarding their experiences on national wildlife refuges. The purpose of the survey was to better understand visitor experiences and trip characteristics, to gauge visitors’ levels of satisfaction with existing recreational opportunities, and to garner feedback to inform the design of programs and facilities. The survey results will inform performance, planning, budget, and communications goals. Results will also inform Comprehensive Conservation Plans (CCPs), visitor services, and transportation planning processes. This Data Series consists of 25 separate data files. Each file describes the results of the survey for an individual refuge and contains the following information: • Introduction: An overview of the Refuge System and the goals of the national surveying effort. • Methods: The procedures for the national surveying effort, including selecting refuges, developing the survey instrument, contacting visitors, and guidance for interpreting the results.• Refuge Description: A brief description of the refuge location, acreage, purpose, recreational activities, and visitation statistics, including a map (where available) and refuge website link. • Sampling at This Refuge: The sampling periods, locations, and response rate for the refuge. • Selected Survey Results: Key findings for the refuge, including: o Visitor and trip characteristics o Visitor spending in the local communities o Visitors opinions about the refuge o Visitor opinions about National Wildlife Refuge System topics • Conclusion • References Cited • Survey Frequencies (Appendix A): The survey instrument with frequency results for the refuge. • Visitor Comments (Appendix B): The verbatim responses to the open-ended survey questions for the refuge.Individual-refuge results for the 53 participating refuges in the 2010-2011 national effort are available at http://pubs.usgs.gov/ds/643/ as part of USGS Data Series 643. Combined results for the 53 participating refuges in the 2010-2011 national effort are available at http://pubs.usgs.gov/ds/685/ as part of USGS Data Series 685.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds754","usgsCitation":"Dietsch, A.M., Sexton, N.R., Koontz, L.M., and Conk, S.J., 2013, National wildlife refuge visitor survey 2012--Individual refuge results: U.S. Geological Survey Data Series 754, NWR visitor survey 2012: 25 PDF files; Related Reports: Data Series 643 and 685, https://doi.org/10.3133/ds754.","productDescription":"NWR visitor survey 2012: 25 PDF files; Related Reports: Data Series 643 and 685","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":274224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274222,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/CaliforniaNevadaRegion(R8)/Don%20Edwards%20San%20Francisco%20Bay%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274223,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/ds/685"},{"id":274221,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/ds/643/"},{"id":274201,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/SouthwestRegion(R2)/Santa%20Ana%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274196,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/PacificRegion(R1)/Ridgefield%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274197,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/SouthwestRegion(R2)/Balcones%20Canyonlands%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274195,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/754/"},{"id":274202,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/SouthwestRegion(R2)/Tishomingo%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274199,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/SouthwestRegion(R2)/Hagerman%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/SouthwestRegion(R2)/Kofa%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274203,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/GreatLakes-BigRiversRegion(R3)/La%20Crosse%20District,%20Upper%20Mississippi%20River%20National%20Wildlife%20and%20Fish%20Refuge%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274204,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/GreatLakes-BigRiversRegion(R3)/Minnesota%20Valley%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274205,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/SoutheastRegion(R4)/Crystal%20River%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274206,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/SoutheastRegion(R4)/Eufaula%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274207,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/SoutheastRegion(R4)/Felsenthal%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274208,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/SoutheastRegion(R4)/Lacassine%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274209,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/SoutheastRegion(R4)/National%20Key%20Deer%20Refuge%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274210,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/SoutheastRegion(R4)/Savannah%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274211,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/NortheastRegion(R5)/Back%20Bay%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274212,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/NortheastRegion(R5)/Assabet%20River%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274213,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/NortheastRegion(R5)/Chincoteague%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274214,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/NortheastRegion(R5)/Edwin%20B.%20Forsythe%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274215,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/NortheastRegion(R5)/Rachel%20Carson%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274216,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/Mountain-PrairieRegion(R6)/Bear%20River%20Migratory%20Bird%20Refuge%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274217,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/Mountain-PrairieRegion(R6)/Lee%20Metcalf%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274218,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/Mountain-PrairieRegion(R6)/Rocky%20Mountain%20Arsenal%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274219,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/Mountain-PrairieRegion(R6)/National%20Bison%20Range%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"},{"id":274220,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/754/CaliforniaNevadaRegion(R8)/San%20Luis%20NWR%20-%20NWR%20visitor%20survey%202012.pdf"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51caadd4e4b0d298e5434c11","contributors":{"authors":[{"text":"Dietsch, Alia M.","contributorId":66399,"corporation":false,"usgs":true,"family":"Dietsch","given":"Alia","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":480032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sexton, Natalie R.","contributorId":82750,"corporation":false,"usgs":true,"family":"Sexton","given":"Natalie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":480033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koontz, Lynne M.","contributorId":26167,"corporation":false,"usgs":true,"family":"Koontz","given":"Lynne","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":480031,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conk, Shannon J.","contributorId":21516,"corporation":false,"usgs":true,"family":"Conk","given":"Shannon","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":480030,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70046684,"text":"sir20135098 - 2013 - Geochemical evidence of groundwater flow paths and the fate and transport of constituents of concern in the alluvial aquifer at Fort Wingate Depot Activity, New Mexico, 2009","interactions":[],"lastModifiedDate":"2013-06-24T15:51:50","indexId":"sir20135098","displayToPublicDate":"2013-06-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5098","title":"Geochemical evidence of groundwater flow paths and the fate and transport of constituents of concern in the alluvial aquifer at Fort Wingate Depot Activity, New Mexico, 2009","docAbstract":"As part of an environmental investigation at Fort Wingate Depot Activity, New Mexico, the U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, interpreted aqueous geochemical concentrations to better understand the groundwater flow paths and the fate and transport of constituents of concern in the alluvial aquifer underlying the study area. The fine-grained nature of the alluvial matrix creates a highly heterogeneous environment, which adds to the difficulty of characterizing the flow of groundwater and the fate of aqueous constituents of concern. The analysis of the groundwater geochemical data collected in October 2009 provides evidence that is used to identify four groundwater flow paths and their extent in the aquifer and indicates the dominant attenuation processes for the constituents of concern.\n\nThe extent and interaction of groundwater flow paths were delineated by the major ion concentrations and their relations to each other. Four areas of groundwater recharge to the study area were identified based on groundwater elevations, hydrogeologic characteristics, and geochemical and isotopic evidence. One source of recharge enters the study area from the saturated alluvial deposits underlying the South Fork of the Puerco River to the north of the study area. A second source of recharge is shown to originate from a leaky cistern containing production water from the San Andres-Glorieta aquifer. The other two sources of recharge are shown to enter the study area from the south: one from an arroyo valley draining an area to the south and one from hill-front recharge that passes under the reported release of perchlorate and explosive constituents. The spatial extent and interaction of groundwater originating from these various sources along identified flow paths affect the persistence and attenuation of constituents of concern.\n\nIt was determined that groundwater originating in the area of a former explosives’ wash-out operation and an accidental spill of perchlorate was spatially limited, and that dilution is the primary attenuation process for these constituents. The explosive concentrations of the nitramine 1,3,5-trinitroperhydro-1,3,5-triazine (RDX) and the oxidizer perchlorate both support that determination. Unlike RDX and perchlorate, there were no detectable concentrations of trinitrotoluene (TNT) in the aquifer. Based on the chemical nature of TNT and the redox conditions found in the aquifer, it is interpreted that TNT is lost to irreversible sorption and aerobic degradation. Nitrate was ubiquitous in the alluvial groundwater in October 2009. The nitrate concentrations in wells associated with the explosives’ groundwater flow path indicate attenuation primarily through dilution, similar to that of RDX. The origin of nitrate concentrations in the wells located in the Administration Area is uncertain but may have resulted from the leakage of aging clay sewage pipes that service most of the structures within that area or as a relic of a former hydrologic regime in which water from the washout operation migrated across a broader area. Sufficient data do not exist to definitively identify the location(s) of water discharge in this area, but transpiration from near the Administration Area is supported by the geochemical concentrations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135098","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Robertson, A.J., Henry, D.W., and Langman, J.B., 2013, Geochemical evidence of groundwater flow paths and the fate and transport of constituents of concern in the alluvial aquifer at Fort Wingate Depot Activity, New Mexico, 2009: U.S. Geological Survey Scientific Investigations Report 2013-5098, vii, 89 p., https://doi.org/10.3133/sir20135098.","productDescription":"vii, 89 p.","numberOfPages":"100","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2009-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":274129,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135098.gif"},{"id":274128,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5098/sir2013-5098.pdf"},{"id":274127,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5098/"}],"country":"United States","state":"New Mexico","otherGeospatial":"Fort Wingate Depot Activity","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.833333,35.166667 ], [ -108.833333,35.666667 ], [ -108.166667,35.666667 ], [ -108.166667,35.166667 ], [ -108.833333,35.166667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c95c59e4b0a50a6e8f57a4","contributors":{"authors":[{"text":"Robertson, Andrew J. 0000-0003-2130-0347 ajrobert@usgs.gov","orcid":"https://orcid.org/0000-0003-2130-0347","contributorId":4129,"corporation":false,"usgs":true,"family":"Robertson","given":"Andrew","email":"ajrobert@usgs.gov","middleInitial":"J.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henry, David W.","contributorId":7593,"corporation":false,"usgs":true,"family":"Henry","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":480005,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langman, Jeffery B.","contributorId":8359,"corporation":false,"usgs":true,"family":"Langman","given":"Jeffery","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":480006,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70046672,"text":"ofr20131123 - 2013 - Model documentation for relations between continuous real-time and discrete water-quality constituents in Cheney Reservoir near Cheney, Kansas, 2001--2009","interactions":[],"lastModifiedDate":"2013-06-24T08:57:51","indexId":"ofr20131123","displayToPublicDate":"2013-06-24T00:00:00","publicationYear":"2013","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":"2013-1123","title":"Model documentation for relations between continuous real-time and discrete water-quality constituents in Cheney Reservoir near Cheney, Kansas, 2001--2009","docAbstract":"Cheney Reservoir, located in south-central Kansas, is one of the primary water supplies for the city of Wichita, Kansas. The U.S. Geological Survey has operated a continuous real-time water-quality monitoring station in Cheney Reservoir since 2001; continuously measured physicochemical properties include specific conductance, pH, water temperature, dissolved oxygen, turbidity, fluorescence (wavelength range 650 to 700 nanometers; estimate of total chlorophyll), and reservoir elevation. Discrete water-quality samples were collected during 2001 through 2009 and analyzed for sediment, nutrients, taste-and-odor compounds, cyanotoxins, phytoplankton community composition, actinomycetes bacteria, and other water-quality measures. Regression models were developed to establish relations between discretely sampled constituent concentrations and continuously measured physicochemical properties to compute concentrations of constituents that are not easily measured in real time. The water-quality information in this report is important to the city of Wichita because it allows quantification and characterization of potential constituents of concern in Cheney Reservoir.\n\nThis report updates linear regression models published in 2006 that were based on data collected during 2001 through 2003. The update uses discrete and continuous data collected during May 2001 through December 2009. Updated models to compute dissolved solids, sodium, chloride, and suspended solids were similar to previously published models. However, several other updated models changed substantially from previously published models. In addition to updating relations that were previously developed, models also were developed for four new constituents, including magnesium, dissolved phosphorus, actinomycetes bacteria, and the cyanotoxin microcystin. In addition, a conversion factor of 0.74 was established to convert the Yellow Springs Instruments (YSI) model 6026 turbidity sensor measurements to the newer YSI model 6136 sensor at the Cheney Reservoir site.\n\nBecause a high percentage of geosmin and microcystin data were below analytical detection thresholds (censored data), multiple logistic regression was used to develop models that best explained the probability of geosmin and microcystin concentrations exceeding relevant thresholds. The geosmin and microcystin models are particularly important because geosmin is a taste-and-odor compound and microcystin is a cyanotoxin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131123","collaboration":"Prepared in cooperation with the City of Wichita, Kansas","usgsCitation":"Stone, M.L., Graham, J.L., and Gatotho, J.W., 2013, Model documentation for relations between continuous real-time and discrete water-quality constituents in Cheney Reservoir near Cheney, Kansas, 2001--2009: U.S. Geological Survey Open-File Report 2013-1123, x, 100 p., https://doi.org/10.3133/ofr20131123.","productDescription":"x, 100 p.","numberOfPages":"114","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2001-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":274082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131123.gif"},{"id":274080,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1123/"},{"id":274081,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1123/ofr2013-1123.pdf"}],"country":"United States","state":"Kansas","city":"Cheney","otherGeospatial":"Cheney Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.904354,37.717691 ], [ -97.904354,37.824492 ], [ -97.774518,37.824492 ], [ -97.774518,37.717691 ], [ -97.904354,37.717691 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c95c5be4b0a50a6e8f57bc","contributors":{"authors":[{"text":"Stone, Mandy L. 0000-0002-6711-1536 mstone@usgs.gov","orcid":"https://orcid.org/0000-0002-6711-1536","contributorId":4409,"corporation":false,"usgs":true,"family":"Stone","given":"Mandy","email":"mstone@usgs.gov","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":479980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gatotho, Jackline W.","contributorId":76616,"corporation":false,"usgs":true,"family":"Gatotho","given":"Jackline","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":479981,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70046682,"text":"ofr20121189 - 2013 - Massachusetts Shoreline Change Mapping and Analysis Project, 2013 Update","interactions":[],"lastModifiedDate":"2013-06-24T14:20:41","indexId":"ofr20121189","displayToPublicDate":"2013-06-24T00:00:00","publicationYear":"2013","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":"2012-1189","title":"Massachusetts Shoreline Change Mapping and Analysis Project, 2013 Update","docAbstract":"Information on rates and trends of shoreline change can be used to improve the understanding of the underlying causes and potential effects of coastal erosion on coastal populations and infrastructure and can support informed coastal management decisions. In this report, we summarize the changes in the historical positions of the shoreline of the Massachusetts coast for the 165 years from 1844 through 2009. The study area includes the Massachusetts coastal region from Salisbury to Westport, including Cape Cod, as well as Martha’s Vineyard, Nantucket, and the Elizabeth Islands. New statewide shoreline data were developed for approximately 1,804 kilometers (1,121 miles) of shoreline using color aerial orthoimagery from 2008 and 2009 and topographic lidar from 2007.\n\nThe shoreline data were integrated with existing historical shoreline data from the U.S. Geological Survey (USGS) and Massachusetts Office of Coastal Zone Management (CZM) to compute long- (about 150 years) and short-term (about 30 years) rates of shoreline change. A linear regression method was used to calculate long- and short-term rates of shoreline change at 26,510 transects along the Massachusetts coast. In locations where shoreline data were insufficient to use the linear regression method, short-term rates were calculated using an end-point method.\n\nLong-term rates of shoreline change are calculated with (LTw) and without (LTwo) shorelines from the 1970s and 1994 to examine the effect of removing these data on measured rates of change. Regionally averaged rates are used to assess the general characteristics of the two-rate computations, and we find that (1) the rates of change for both LTw and LTwo are essentially the same; (2) including more data slightly reduces the uncertainty of the rate, which is expected as the number of shorelines increases; and (3) the data for the shorelines from the 1970s and 1994 are not outliers with respect to the long-term trend. These findings are true for regional averages, but may not hold at specific transects.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121189","collaboration":"Prepared in cooperation with the Massachusetts Office of Coastal Zone Management","usgsCitation":"Thieler, E.R., Smith, T.L., Knisel, J.M., and Sampson, D.W., 2013, Massachusetts Shoreline Change Mapping and Analysis Project, 2013 Update: U.S. Geological Survey Open-File Report 2012-1189, vi, 42 p., https://doi.org/10.3133/ofr20121189.","productDescription":"vi, 42 p.","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":274126,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20121189.gif"},{"id":274123,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2012/1189/"},{"id":274124,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1189/pdf/ofr2012-1189_report_508.pdf"}],"country":"United States","state":"Massachusetts","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.5081,41.2384 ], [ -73.5081,42.8868 ], [ -69.9278,42.8868 ], [ -69.9278,41.2384 ], [ -73.5081,41.2384 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c95c5be4b0a50a6e8f57b8","contributors":{"authors":[{"text":"Thieler, E. Robert 0000-0003-4311-9717 rthieler@usgs.gov","orcid":"https://orcid.org/0000-0003-4311-9717","contributorId":2488,"corporation":false,"usgs":true,"family":"Thieler","given":"E.","email":"rthieler@usgs.gov","middleInitial":"Robert","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":480000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Theresa L.","contributorId":80163,"corporation":false,"usgs":true,"family":"Smith","given":"Theresa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":480003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knisel, Julia M.","contributorId":20630,"corporation":false,"usgs":true,"family":"Knisel","given":"Julia","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":480001,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sampson, Daniel W.","contributorId":24259,"corporation":false,"usgs":true,"family":"Sampson","given":"Daniel","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":480002,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70040016,"text":"70040016 - 2013 - Estimating suitable environments for invasive plant species across large landscapes: a remote sensing strategy using Landsat 7 ETM+","interactions":[],"lastModifiedDate":"2020-09-11T17:36:23.36493","indexId":"70040016","displayToPublicDate":"2013-06-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2030,"text":"International Journal of Biodiversity and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Estimating suitable environments for invasive plant species across large landscapes: a remote sensing strategy using Landsat 7 ETM+","docAbstract":"The key to reducing ecological and economic damage caused by invasive plant species is to locate and eradicate new invasions before they threaten native biodiversity and ecological processes. We used Landsat Enhanced Thematic Mapper Plus imagery to estimate suitable environments for four invasive plants in Big Bend National Park, southwest Texas, using a presence-only modeling approach. Giant reed (Arundo donax), Lehmann lovegrass (Eragrostis lehmanniana), horehound (Marrubium vulgare) and buffelgrass (Pennisteum ciliare) were selected for remote sensing spatial analyses. Multiple dates/seasons of imagery were used to account for habitat conditions within the study area and to capture phenological differences among targeted species and the surrounding landscape. Individual species models had high (0.91 to 0.99) discriminative ability to differentiate invasive plant suitable environments from random background locations. Average test area under the receiver operating characteristic curve (AUC) ranged from 0.91 to 0.99, indicating that plant predictive models exhibited high discriminative ability to differentiate suitable environments for invasive plant species from random locations. Omission rates ranged from <1.0 to 18%. We demonstrated that useful models estimating suitable environments for invasive plants may be created with <50 occurrence locations and that reliable modeling using presence-only datasets can be powerful tools for land managers.
","language":"English","publisher":"Academic Journals","doi":"10.5897/IJBC12.057","usgsCitation":"Young, K.E., Abbott, L.B., Caldwell, C.A., and Schrader, T.S., 2013, Estimating suitable environments for invasive plant species across large landscapes: a remote sensing strategy using Landsat 7 ETM+: International Journal of Biodiversity and Conservation, v. 5, no. 3, p. 122-134, https://doi.org/10.5897/IJBC12.057.","productDescription":"13 p.","startPage":"122","endPage":"134","ipdsId":"IP-041046","costCenters":[{"id":471,"text":"New Mexico Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":274063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378343,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://academicjournals.org/journal/IJBC/article-stat/73700A410650"}],"country":"United States","state":"Texas","otherGeospatial":"Big Bend National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.556884765625,\n 28.98892237190413\n ],\n [\n -102.7001953125,\n 28.98892237190413\n ],\n [\n -102.7001953125,\n 29.935895213372444\n ],\n [\n -104.556884765625,\n 29.935895213372444\n ],\n [\n -104.556884765625,\n 28.98892237190413\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c567d3e4b0c89b8f120dff","contributors":{"authors":[{"text":"Young, Kendal E.","contributorId":76212,"corporation":false,"usgs":true,"family":"Young","given":"Kendal","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":467484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abbott, Laurie B.","contributorId":57352,"corporation":false,"usgs":true,"family":"Abbott","given":"Laurie","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":467483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":467481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schrader, T. Scott","contributorId":43260,"corporation":false,"usgs":true,"family":"Schrader","given":"T.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":467482,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70044368,"text":"70044368 - 2013 - Finite-fault source inversion using teleseismic P waves: Simple parameterization and rapid analysis","interactions":[],"lastModifiedDate":"2016-01-29T11:27:29","indexId":"70044368","displayToPublicDate":"2013-06-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Finite-fault source inversion using teleseismic P waves: Simple parameterization and rapid analysis","docAbstract":"We examine the ability of teleseismic P waves to provide a timely image of the rupture history for large earthquakes using a simple, 2D finite‐fault source parameterization. We analyze the broadband displacement waveforms recorded for the 2010 Mw∼7 Darfield (New Zealand) and El Mayor‐Cucapah (Baja California) earthquakes using a single planar fault with a fixed rake. Both of these earthquakes were observed to have complicated fault geometries following detailed source studies conducted by other investigators using various data types. Our kinematic, finite‐fault analysis of the events yields rupture models that similarly identify the principal areas of large coseismic slip along the fault. The results also indicate that the amount of stabilization required to spatially smooth the slip across the fault and minimize the seismic moment is related to the amplitudes of the observed P waveforms and can be estimated from the absolute values of the elements of the coefficient matrix. This empirical relationship persists for earthquakes of different magnitudes and is consistent with the stabilization constraint obtained from the L‐curve in Tikhonov regularization. We use the relation to estimate the smoothing parameters for the 2011 Mw 7.1 East Turkey, 2012 Mw 8.6 Northern Sumatra, and 2011 Mw 9.0 Tohoku, Japan, earthquakes and invert the teleseismic P waves in a single step to recover timely, preliminary slip models that identify the principal source features observed in finite‐fault solutions obtained by the U.S. Geological Survey National Earthquake Information Center (USGS/NEIC) from the analysis of body‐ and surface‐wave data. These results indicate that smoothing constraints can be estimated a priori to derive a preliminary, first‐order image of the coseismic slip using teleseismic records.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","publisherLocation":"Stanford","doi":"10.1785/0120120069","usgsCitation":"Mendoza, C., and Hartzell, S., 2013, Finite-fault source inversion using teleseismic P waves: Simple parameterization and rapid analysis: Bulletin of the Seismological Society of America, v. 103, no. 2A, p. 834-844, https://doi.org/10.1785/0120120069.","productDescription":"11 p.","startPage":"834","endPage":"844","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038615","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":274075,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, New Zealand","otherGeospatial":"Darfield, El Mayor-Cucapah","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-97.14001,25.87],[-97.52807,24.99214],[-97.70295,24.27234],[-97.77604,22.93258],[-97.87237,22.44421],[-97.69904,21.89869],[-97.38896,21.41102],[-97.18933,20.63543],[-96.52558,19.89093],[-96.29213,19.32037],[-95.90088,18.82802],[-94.83906,18.56272],[-94.42573,18.14437],[-93.54865,18.42384],[-92.78611,18.52484],[-92.03735,18.70457],[-91.4079,18.87608],[-90.77187,19.28412],[-90.53359,19.86742],[-90.45148,20.70752],[-90.27862,20.99986],[-89.60132,21.26173],[-88.54387,21.49368],[-87.65842,21.45885],[-87.05189,21.54354],[-86.81198,21.33151],[-86.84591,20.84986],[-87.38329,20.2554],[-87.62105,19.64655],[-87.43675,19.4724],[-87.58656,19.04013],[-87.83719,18.25982],[-88.09066,18.51665],[-88.30003,18.49998],[-88.49012,18.48683],[-88.84834,17.8832],[-89.02986,18.00151],[-89.15091,17.95547],[-89.14308,17.80832],[-90.06793,17.81933],[-91.00152,17.81759],[-91.00227,17.25466],[-91.45392,17.25218],[-91.08167,16.91848],[-90.71182,16.68748],[-90.60085,16.47078],[-90.43887,16.41011],[-90.46447,16.06956],[-91.74796,16.06656],[-92.22925,15.25145],[-92.08722,15.06458],[-92.20323,14.8301],[-92.22775,14.53883],[-93.35946,15.61543],[-93.87517,15.94016],[-94.69166,16.20098],[-95.25023,16.12832],[-96.05338,15.75209],[-96.55743,15.65352],[-97.26359,15.91706],[-98.01303,16.10731],[-98.94768,16.56604],[-99.6974,16.70616],[-100.8295,17.17107],[-101.66609,17.64903],[-101.91853,17.91609],[-102.47813,17.97575],[-103.50099,18.29229],[-103.91753,18.74857],[-104.99201,19.31613],[-105.49304,19.94677],[-105.7314,20.4341],[-105.39777,20.53172],[-105.50066,20.8169],[-105.27075,21.07628],[-105.26582,21.4221],[-105.60316,21.87115],[-105.69341,22.26908],[-106.02872,22.77375],[-106.90998,23.76777],[-107.91545,24.54892],[-108.4019,25.17231],[-109.2602,25.58061],[-109.44409,25.82488],[-109.29164,26.44293],[-109.80146,26.67618],[-110.39173,27.16211],[-110.64102,27.85988],[-111.17892,27.94124],[-111.75961,28.46795],[-112.22823,28.95441],[-112.27182,29.26684],[-112.80959,30.02111],[-113.16381,30.78688],[-113.14867,31.17097],[-113.87188,31.56761],[-114.20574,31.52405],[-114.77645,31.79953],[-114.9367,31.39348],[-114.77123,30.91362],[-114.6739,30.16268],[-114.33097,29.75043],[-113.58888,29.06161],[-113.42405,28.82617],[-113.27197,28.75478],[-113.14004,28.41129],[-112.9623,28.42519],[-112.76159,27.78022],[-112.45791,27.52581],[-112.24495,27.17173],[-111.61649,26.66282],[-111.28467,25.73259],[-110.98782,25.29461],[-110.71001,24.826],[-110.65505,24.29859],[-110.17286,24.26555],[-109.77185,23.81118],[-109.4091,23.36467],[-109.43339,23.18559],[-109.85422,22.81827],[-110.03139,22.82308],[-110.29507,23.43097],[-110.9495,24.00096],[-111.67057,24.48442],[-112.18204,24.73841],[-112.14899,25.47013],[-112.30071,26.012],[-112.7773,26.32196],[-113.46467,26.76819],[-113.59673,26.63946],[-113.84894,26.90006],[-114.46575,27.14209],[-115.05514,27.72273],[-114.98225,27.7982],[-114.57037,27.74149],[-114.19933,28.115],[-114.16202,28.56611],[-114.93184,29.27948],[-115.51865,29.55636],[-115.88737,30.18079],[-116.25835,30.83646],[-116.72153,31.63574],[-117.12776,32.53534],[-115.99135,32.61239],[-114.72139,32.72083],[-114.815,32.52528],[-113.30498,32.03914],[-111.02361,31.33472],[-109.035,31.34194],[-108.24194,31.34222],[-108.24,31.75485],[-106.50759,31.75452],[-106.1429,31.39995],[-105.63159,31.08383],[-105.03737,30.64402],[-104.70575,30.12173],[-104.45697,29.57196],[-103.94,29.27],[-103.11,28.97],[-102.48,29.76],[-101.6624,29.7793],[-100.9576,29.38071],[-100.45584,28.69612],[-100.11,28.11],[-99.52,27.54],[-99.3,26.84],[-99.02,26.37],[-98.24,26.06],[-97.53,25.84],[-97.14001,25.87]]],[[[173.02037,-40.91905],[173.24723,-41.332],[173.95841,-40.9267],[174.24759,-41.34916],[174.24852,-41.77001],[173.87645,-42.23318],[173.22274,-42.97004],[172.71125,-43.37229],[173.08011,-43.85334],[172.30858,-43.86569],[171.45293,-44.24252],[171.18514,-44.8971],[170.6167,-45.90893],[169.83142,-46.35577],[169.33233,-46.64124],[168.41135,-46.61994],[167.76374,-46.2902],[166.67689,-46.21992],[166.50914,-45.8527],[167.04642,-45.11094],[168.30376,-44.12397],[168.94941,-43.93582],[169.66781,-43.55533],[170.52492,-43.03169],[171.12509,-42.51275],[171.56971,-41.76742],[171.94871,-41.51442],[172.09723,-40.9561],[172.79858,-40.49396],[173.02037,-40.91905]]],[[[174.61201,-36.1564],[175.33662,-37.2091],[175.3576,-36.52619],[175.80889,-36.79894],[175.95849,-37.55538],[176.7632,-37.88125],[177.43881,-37.96125],[178.01035,-37.57982],[178.51709,-37.69537],[178.27473,-38.58281],[177.97046,-39.16634],[177.20699,-39.14578],[176.93998,-39.44974],[177.03295,-39.87994],[176.88582,-40.06598],[176.50802,-40.60481],[176.01244,-41.28962],[175.23957,-41.68831],[175.0679,-41.42589],[174.65097,-41.28182],[175.22763,-40.45924],[174.90016,-39.90893],[173.82405,-39.50885],[173.85226,-39.1466],[174.5748,-38.79768],[174.74347,-38.02781],[174.69702,-37.38113],[174.29203,-36.71109],[174.319,-36.53482],[173.841,-36.12198],[173.05417,-35.23713],[172.63601,-34.52911],[173.00704,-34.45066],[173.5513,-35.00618],[174.32939,-35.2655],[174.61201,-36.1564]]]]},\"properties\":{\"name\":\"Mexico\"}}]}","volume":"103","issue":"2A","noUsgsAuthors":false,"publicationDate":"2013-03-21","publicationStatus":"PW","scienceBaseUri":"51c567d4e4b0c89b8f120e07","contributors":{"authors":[{"text":"Mendoza, C.","contributorId":82059,"corporation":false,"usgs":true,"family":"Mendoza","given":"C.","email":"","affiliations":[],"preferred":false,"id":475383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartzell, S.","contributorId":12603,"corporation":false,"usgs":true,"family":"Hartzell","given":"S.","email":"","affiliations":[],"preferred":false,"id":475382,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046548,"text":"70046548 - 2013 - Exploration Review","interactions":[],"lastModifiedDate":"2013-06-20T11:22:48","indexId":"70046548","displayToPublicDate":"2013-06-20T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Exploration Review","docAbstract":"This summary of international mineral exploration activities for 2012 draws upon information from industry sources, published literature and U.S. Geological Survey (USGS) specialists. The summary provides data on exploration budgets by region and mineral commodity, identifies significant mineral discoveries and areas of mineral exploration, discusses government programs affecting the mineral exploration industry and presents analyses of exploration activities performed by the mineral industry.\n\nThree sources of information are reported and analyzed in this annual review of international exploration for 2012: 1) budgetary statistics expressed in U.S. nominal dollars provided by SNL Metals Economics Group (MEG) of Halifax, Nova Scotia; 2) regional and site-specific exploration activities that took place in 2012 as compiled by the USGS and 3) regional events including economic, social and political conditions that affected exploration activities, which were derived from published sources and unpublished discussions with USGS and industry specialists.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Wilburn, D., and Stanley, K., 2013, Exploration Review: Mining Engineering, v. 65, no. 5, p. 32-52.","productDescription":"21 p.","startPage":"32","endPage":"52","ipdsId":"IP-044904","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":274028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274027,"type":{"id":15,"text":"Index Page"},"url":"https://me.smenet.org/abstract.cfm?preview=1&articleID=3424&page=32"}],"volume":"65","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c42212e4b03c77dce65a17","contributors":{"authors":[{"text":"Wilburn, D.R.","contributorId":98911,"corporation":false,"usgs":true,"family":"Wilburn","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":479790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanley, K.A.","contributorId":27342,"corporation":false,"usgs":true,"family":"Stanley","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":479789,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046667,"text":"ofr20131050 - 2013 - Characterization of major lithologic units underlying the lower American River using water-borne continuous resistivity profiling, Sacramento, California, June 2008","interactions":[],"lastModifiedDate":"2013-06-20T08:43:21","indexId":"ofr20131050","displayToPublicDate":"2013-06-20T00:00:00","publicationYear":"2013","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":"2013-1050","title":"Characterization of major lithologic units underlying the lower American River using water-borne continuous resistivity profiling, Sacramento, California, June 2008","docAbstract":"The levee system of the lower American River in Sacramento, California, is situated above a mixed lithology of alluvial deposits that range from clay to gravel. In addition, sand deposits related to hydraulic mining activities underlie the floodplain and are preferentially prone to scour during high-flow events. In contrast, sections of the American River channel have been observed to be scour resistant. In this study, the U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, explores the resistivity structure of the American River channel to characterize the extent and thickness of lithologic units that may impact the scour potential of the area. Likely lithologic structures are interpreted, but these interpretations are non-unique and cannot be directly related to scour potential. Additional geotechnical data would provide insightful data on the scour potential of certain lithologic units. Additional interpretation of the resistivity data with respect to these results may improve interpretations of lithology and scour potential throughout the American River channel and floodplain.\n\nResistivity data were collected in three profiles along the American River using a water-borne continuous resistivity profiling technique. After processing and modeling these data, inverted resistivity profiles were used to make interpretations about the extent and thickness of possible lithologic units. In general, an intermittent high-resistivity layer likely indicative of sand or gravel deposits extends to a depth of around 30 feet (9 meters) and is underlain by a consistent low-resistivity layer that likely indicates a high-clay content unit that extends below the depth of investigation (60 feet or 18 meters). Immediately upstream of the Watt Avenue Bridge, the high-resistivity layer is absent, and the low-resistivity layer extends to the surface where a scour-resistant layer has been previously observed in the river bed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131050","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers Sacramento District","usgsCitation":"Ball, L.B., and Teeple, A., 2013, Characterization of major lithologic units underlying the lower American River using water-borne continuous resistivity profiling, Sacramento, California, June 2008: U.S. Geological Survey Open-File Report 2013-1050, iv, 13 p.; Maps: 5 Sheets: 45 x 22 inches, https://doi.org/10.3133/ofr20131050.","productDescription":"iv, 13 p.; Maps: 5 Sheets: 45 x 22 inches","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2008-06-01","temporalEnd":"2008-07-01","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":274013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131050.gif"},{"id":274006,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1050/"},{"id":274007,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1050/OF13-1050.pdf"},{"id":274008,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1050/plate1.pdf"},{"id":274009,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1050/plate2.pdf"},{"id":274010,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1050/plate3.pdf"},{"id":274011,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1050/plate4.pdf"},{"id":274012,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1050/plate5.pdf"}],"country":"United States","state":"California","city":"Sacramento","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.433333,38.55 ], [ -121.433333,38.591667 ], [ -121.333333,38.591667 ], [ -121.333333,38.55 ], [ -121.433333,38.55 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c42210e4b03c77dce65a03","contributors":{"authors":[{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":479958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teeple, Andrew 0000-0003-1781-8354 apteeple@usgs.gov","orcid":"https://orcid.org/0000-0003-1781-8354","contributorId":1399,"corporation":false,"usgs":true,"family":"Teeple","given":"Andrew ","email":"apteeple@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":479959,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}