The accuracy of groundwater-level tapes was investigated by developing a tape calibration method and device and testing the accuracy of a sample of groundwater-level tapes with the calibration method and device. The sample of tapes included in-service U.S. Geological Survey (USGS) Water Science Center steel and electric groundwater-level tapes.
\nThe tape calibration method developed during the study is based on a National Institute for Standards and Technology (NIST) protocol, and compares the tape under calibration (test tape) with a NIST-traceable reference tape. The calibration method can be used to determine tape accuracy and tape corrections. The tape calibration device consists of an anchor and tensioner. The device allows individual tensioning of the test and reference tapes. The Vernier scale on the tensioner allows measurement of the difference (or displacement) between the test and reference tapes graduations with a resolution of 0.0005 foot (ft). The calibration method used with the calibration device has a repeatability (standard deviation) of 0.0011 ft.
\nThe calibration device and proposed method were used to calibrate a sample of in-service USGS steel and electric groundwater tapes. The sample of in-service groundwater steel tapes were in relatively good condition. All steel tapes, except one, were accurate to ±0.01 ft per 100 ft over their entire length. One steel tape, which had obvious damage in the first hundred feet, was marginally outside the accuracy of ±0.01 ft per 100 ft by 0.001 ft. The sample of in-service groundwater-level electric tapes were in a range of conditions—from like new, with cosmetic damage, to nonfunctional. The in-service electric tapes did not meet the USGS accuracy recommendation of ±0.01 ft. In-service electric tapes, except for the nonfunctional tape, were accurate to about ±0.03 ft per 100 ft. A comparison of new with in-service electric tapes found that steel-core electric tapes maintained their length and accuracy better than electric tapes without a steel core. The in-service steel tapes could be used as is and achieve USGS accuracy recommendations for groundwater-level measurements. The in-service electric tapes require tape corrections to achieve USGS accuracy recommendations for groundwater-level measurement.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151137","usgsCitation":"Fulford, J.M., and Clayton, C.S., 2015, Accuracy testing of steel and electric groundwater-level measuring tapes—Test method and in-service tape accuracy: U.S. Geological Survey Open-File Report 2015–1137, 31 p., https://dx.doi.org/10.3133/ofr20151137.","productDescription":"v, 31 p.","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064514","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":309731,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1137/coverthb.jpg"},{"id":309732,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1137/ofr20151137.pdf","text":"Report","size":"15.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1137"}],"contact":"Hydrologic Instrumentation Facility
U.S. Geological Survey
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The decommissioning and planned removal of the Hogansburg Dam on the St. Regis River in New York has stimulated interest in the potential effects of that barrier removal on the St. Regis watershed. There will be immediate and systemic effects of the Hogansburg Dam removal, which may include inundation of habitats below the dam or dewatering of habitats above the dam, possibly affecting local fish assemblages and (or) local native mussel assemblages; and expansion of stream network connectivity, which has the potential to open a large area of the watershed to migratory aquatic species. Information was collected about biota, water quality, sediment distribution, riverbed dimensions in the vicinity of the dam, and habitat characteristics of headwater sample sites. Complete fish assemblages were collected, but species of special concern associated with the connectivity changes included, American Eel, Atlantic Salmon, Brook Trout, Eastern Sand Darter, and Lake Sturgeon. Freshwater mussels in the vicinity of the dam also were examined and may be at risk of exposure (without a rescue plan) after dam removal. Reservoir sediment will be transported downstream and will alter aquatic habitat as it moves through the system. The dam removal will open more than 440 kilometers of stream habitat to migratory species, allowing them to more easily complete their life cycles. Fish assemblages above the dam may be altered by migrating fishes, but resident Brook Trout are not expected to be adversely affected.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155116","collaboration":"Prepared in cooperation with the St. Regis Mohawk Tribe-Environment Division","usgsCitation":"McKenna, J.E., Jr., Hanak, Kaitlin, DeVilbiss, Katharine, David, Anthony, and Johnson, J.H., 2015, Dam removal, connectivity, and aquatic resources in the St. Regis River watershed, New York: U.S. Geological Survey Scientific Investigations Report 2015–5116, 15 p., https://dx.doi.org/10.3133/sir20155116.","productDescription":"vii, 15 p.","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064092","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":309726,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5116/sir20155116.pdf","text":"Report","size":"11.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5116"},{"id":309725,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5116/coverthb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"St. Regis River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.4541015625,\n 43.94537239244209\n ],\n [\n -75.4541015625,\n 44.99588261816546\n ],\n [\n -73.267822265625,\n 44.99588261816546\n ],\n [\n -73.267822265625,\n 43.94537239244209\n ],\n [\n -75.4541015625,\n 43.94537239244209\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Great Lakes Science Center
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The landforms of northern Gale crater on Mars expose thick sequences of sedimentary rocks. Based on images obtained by the Curiosity rover, we interpret these outcrops as evidence for past fluvial, deltaic, and lacustrine environments. Degradation of the crater wall and rim probably supplied these sediments, which advanced inward from the wall, infilling both the crater and an internal lake basin to a thickness of at least 75 meters. This intracrater lake system probably existed intermittently for thousands to millions of years, implying a relatively wet climate that supplied moisture to the crater rim and transported sediment via streams into the lake basin. The deposits in Gale crater were then exhumed, probably by wind-driven erosion, creating Aeolis Mons (Mount Sharp).
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Association for the Advancement of Science","publisherLocation":"New York, NY","doi":"10.1126/science.aac7575","usgsCitation":"Grotzinger, J., Gupta, S., Malin, M.C., Rubin, D.M., Schieber, J., Siebach, K., Sumner, D., Stack, K., Vasavada, A., Arvidson, R., Calef, F., Edgar, L.A., Fischer, W.F., Grant, J., Griffes, J., Kah, L., Lamb, M., Lewis, K., Mangold, N., Minitti, M., Palucis, M., Rice, M., Williams, R., Yingst, R., Blake, D., Blaney, D., Conrad, P., Crisp, J., Dietrich, W.E., Dromart, G., Edgett, K., Ewing, R., Gellert, R., Hurowitz, J., Kocurek, G., Mahaffy, P., McBride, M., McLennan, S.M., Mischna, M., Ming, D., Milliken, R., Newsom, H., Oehler, D., Parker, T.J., Vaniman, D., Wiens, R.C., and Wilson, S., 2015, Deposition, exhumation, and paleoclimate of an ancient lake deposit, Gale crater, Mars: Science, v. 350, no. 6257, https://doi.org/10.1126/science.aac7575.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065631","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":471728,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20151009-084255932","text":"External Repository"},{"id":318814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gale crater, Mars","volume":"350","issue":"6257","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56e3fa41e4b0f59b85d49408","contributors":{"authors":[{"text":"Grotzinger, J.P.","contributorId":76053,"corporation":false,"usgs":true,"family":"Grotzinger","given":"J.P.","affiliations":[],"preferred":false,"id":622491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gupta, S.","contributorId":18652,"corporation":false,"usgs":true,"family":"Gupta","given":"S.","affiliations":[],"preferred":false,"id":622492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Malin, M. 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This river segment supports small populations of brook trout (Salvelinus fontinalis), brown trout (Salmo trutta), and rainbow trout (Oncorhynchus mykiss) and also receives regular releases of reservoir-surface waters to support rafting during the summer, when water temperatures in both the reservoir and the river frequently exceed thermal thresholds for trout survival. Airborne thermal infrared imaging was supplemented with continuous, in-stream temperature loggers to identify potential refuges that may be associated with tributary inflows or groundwater seeps and to define the extent to which the release flows decrease the size of existing refuges. In general, the release flows overwhelmed the refuge areas and greatly decreased the size and number of the areas. Mean water temperatures were unaffected by the releases, but small-scale heterogeneity was diminished. At a larger scale, water temperatures in the upper and lower segments of the reach were consistently warmer than in the middle segment, even during passage of release waters. The inability of remote thermal infrared images to consistently distinguish land from water (in shaded areas) and to detect groundwater seeps (away from the shallow edges of the stream) limited data analysis and the ability to identify potential thermal refuge areas.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151078","collaboration":"Prepared in cooperation with New York State Department of Environmental Conservation and Rochester Institute of Technology","usgsCitation":"Ernst, A.G., Baldigo, B.P., Calef, F.J., Freehafer, D.A., and Kremens, R.L., 2015, Identifying trout refuges in the Indian and Hudson Rivers in northern New York through airborne thermal infrared remote sensing: U.S. Geological Survey Open-File Report 2015–1078, 17 p., https://dx.doi.org/10.3133/ofr20151078.","productDescription":"vii, 17 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-054790","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":308601,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1078/coverthb.jpg"},{"id":308602,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1078/ofr20151078.pdf","text":"Report","size":"3.78 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1078"}],"country":"United States","state":"New York","otherGeospatial":"Hudson River and Indian River, Adirondack Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.5751953125,\n 43.60326743161359\n ],\n [\n -74.5751953125,\n 43.98886243884903\n ],\n [\n -73.90777587890625,\n 43.98886243884903\n ],\n [\n -73.90777587890625,\n 43.60326743161359\n ],\n [\n -74.5751953125,\n 43.60326743161359\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180-8349
http://ny.water.usgs.gov
Professional Paper 1814—Studies by the U.S. Geological Survey in Alaska, Volume 15—continues a long-running series of collected volumes of U.S. Geological Survey (USGS) scientific reports on Alaska. This series presents new and sometimes preliminary findings that are of interest to Earth and biological scientists in academia, government, and industry; to land and resource managers; and to the general public.
\nThe series covers a broad spectrum of scientific topics, from various parts of Alaska, serving to emphasize the diversity of USGS efforts to meet the Nation’s needs for Earth-science information in the State. The USGS provides reliable scientific information to describe and understand the Earth; minimize loss of life and property from natural disasters; manage water, biological, energy, and mineral resources; and enhance and protect our quality of life.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1814","usgsCitation":"2015, Studies by the U.S. Geological Survey in Alaska, Volume 15: U.S. Geological Survey Professional Paper 1814, https://doi.org/10.3133/pp1814.","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":309742,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1814/images/coverphoto.jpg"},{"id":309745,"rank":2,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/AK_studies/index.html","text":"Studies by the U.S. Geological Survey in Alaska"}],"contact":"Alaska Science Center staff
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4210 University Dr.
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Alaska Mineral Resources
Alaska Science Center
We compared As and Sb bioaccumulation and biomagnification when these metalloids co-occurred at varying environmental concentrations in a stream and wetlands near a contaminated mine site in Idaho (USA). We measured As and Sb concentrations in water and substrate samples, and in tissues of organisms representing several trophic levels. Bioaccumulation of both As and Sb was observed in stream organisms with the following trend of bio-diminution with increasing trophic level: primary producers > tadpoles > macroinvertebrates > trout. We also note reductions in metalloid concentrations in one of two stream remediation reaches engineered within the past 17 years to ameliorate metalloid contamination in the stream. Several wetlands contained thick microbial mats and were highly populated with boreal toad tadpoles that fed on them. The mats were extremely contaminated (up to 76 564 mg kg–1 As and 675 mg kg–1 Sb) with amorphous As- and Sb-bearing minerals that we interpret as biogenic precipitates from geomicrobiological As- and Sb-cycling. Ingested mat material provided a direct source of metalloids to tadpoles, and concentrations of 3867 mg kg–1 (As) and 375 mg kg–1 (Sb) reported here represent the highest whole body As and Sb levels ever reported in living tadpoles. The bulk of tadpole metalloid burden remained in the gut despite attempts to purge the tadpoles prior to analysis. This study adds to a number of recent investigations reporting bioaccumulation, but not biomagnification, of As and Sb in food webs. Moreover, our results suggest that tadpoles, in particular, may be more resistant to metalloid contamination than previously assumed.
","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/EN15046","usgsCitation":"Dovick, M.A., Kulp, T., Arkle, R.S., and Pilliod, D.S., 2015, Bioaccumulation trends of arsenic and antimony in a freshwater ecosystem affected by mine drainage: Environmental Chemistry, v. 13, no. 1, p. 149-159, https://doi.org/10.1071/EN15046.","productDescription":"11 p.","startPage":"149","endPage":"159","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061608","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":309977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56221face4b06217fc479210","contributors":{"authors":[{"text":"Dovick, Meghan A.","contributorId":149255,"corporation":false,"usgs":false,"family":"Dovick","given":"Meghan","email":"","middleInitial":"A.","affiliations":[{"id":17689,"text":"Department of Geological Sciences and Environmental Studies, Binghamton University, SUNY","active":true,"usgs":false}],"preferred":false,"id":577657,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kulp, Thomas R.","contributorId":58364,"corporation":false,"usgs":true,"family":"Kulp","given":"Thomas R.","affiliations":[],"preferred":false,"id":577658,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arkle, Robert S. 0000-0003-3021-1389 rarkle@usgs.gov","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":149256,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert","email":"rarkle@usgs.gov","middleInitial":"S.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":577659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pilliod, David S. 0000-0003-4207-3518 dpilliod@usgs.gov","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":149254,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","email":"dpilliod@usgs.gov","middleInitial":"S.","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":577656,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70157408,"text":"ds957 - 2015 - Archive of bathymetry data collected at Cape Canaveral, Florida, 2014","interactions":[],"lastModifiedDate":"2015-10-08T08:37:26","indexId":"ds957","displayToPublicDate":"2015-10-07T15:00:00","publicationYear":"2015","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":"957","title":"Archive of bathymetry data collected at Cape Canaveral, Florida, 2014","docAbstract":"Remotely sensed, geographically referenced elevation measurements of the sea floor, acquired by boat- and aircraft-based survey systems, were produced by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida, for the area at Cape Canaveral.
\nThe work was conducted as part of a study to describe an updated bathymetric dataset collected in 2014 and compare it to previous data sets. The updated data focus on the bathymetric features and sediment transport pathways that connect the offshore regions to the shoreline and, therefore, are related to the protection of other portions of the coastal environment, such as dunes, that support infrastructure and ecosystems.
\nCape Canaveral Coastal System (CCCS) is a prominent feature along the Southeast U.S. coastline and is the only large cape south of Cape Fear, North Carolina. Most of the CCCS lies within the Merritt Island National Wildlife Refuge and included within its boundaries are the Cape Canaveral Air Force Station (CCAFS), NASA’s Kennedy Space Center (KSC), and a large portion of Canaveral National Seashore. The actual promontory of the modern cape falls within the jurisdictional boundaries of the CCAFS.
\nHydrographic survey data were collected August 18-20, 2014 (USGS Field Activity Number 2014-324-FA). The study covered a 20 kilometer (km) section of shoreline extending from Port Canaveral, Fla., to the northern end of the KSC property, and from the shoreline to about 2.5 km offshore. Data were acquired using both sound navigation and ranging (sonar) and light detection and ranging (lidar) systems. Two jet skis and a 17-foot (ft) outboard motor boat equipped with the USGS SANDS (System for Accurate Nearshore Depth Surveying) hydrographic system collected precision sonar data. The USGS airborne EAARL-B mapping system flown in a twin engine airplane was used to collect lidar data. The missions were synchronized so that there was temporal and spatial overlap between the sonar and lidar operations. Additional data were collected to evaluate water clarity to verify the ability of lidar to receive bathymetric returns. Both systems used differential Global Positioning System GPS and utilized the National Oceanic and Atmospheric Administration/National Geodetic Survey (NOAA/NGS) Continuously Operating Reference Station (CORS) station located at CCAFS was used as the reference station.
\nThis data series serves as an archive of processed single-beam sonar and lidar bathymetry data. Graphical Information System (GIS) data products include XYZ point bathymetry data files, a color coded bathymetry map, and interpolated bathymetry grid surface.
\nAdditional information includes an error analysis and formal Federal Geographic Data Committee (FGDC) metadata.
\nFor more information about similar projects, please visit the Barrier Island Evolution Web site.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds957","usgsCitation":"Hansen, Mark, Plant, N.G., Thompson, D.M., Troche, R.J., Kranenburg, C.J., and Klipp, E.S., 2015, Archive of bathymetry data collected at Cape Canaveral, Florida, 2014: U.S. Geological Survey Data Series 957, https://dx.doi.org/10.3133/ds957.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2014-08-18","temporalEnd":"2014-08-20","ipdsId":"IP-064065","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":309529,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0957","text":"Report HTML","description":"DS 956"},{"id":309528,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0957/images/coverthb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Cape Canaveral","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.57132720947264,\n 28.57909501280518\n ],\n [\n -80.56068420410156,\n 28.529337159530115\n ],\n [\n -80.52635192871094,\n 28.461447671879817\n ],\n [\n -80.52532196044922,\n 28.44877013274692\n ],\n [\n -80.5514144897461,\n 28.441525142203908\n ],\n [\n -80.56514739990234,\n 28.434279655423556\n ],\n [\n -80.57716369628906,\n 28.423410494987063\n ],\n [\n -80.5843734741211,\n 28.411030369596805\n ],\n [\n -80.5569076538086,\n 28.397440761221713\n ],\n [\n -80.50712585449219,\n 28.437600565124914\n ],\n [\n -80.49613952636719,\n 28.4656731804089\n ],\n [\n -80.55038452148438,\n 28.585426143239545\n ],\n [\n -80.57132720947264,\n 28.57909501280518\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"St. Petersburg Coastal and Marine Science Center
600 4th Street South
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The east side of the Uncompahgre River Basin has been a known contributor of dissolved selenium to recipient streams. Discharge of groundwater containing dissolved selenium contributes to surface-water selenium concentrations and loads; however, the groundwater system on the east side of the Uncompahgre River Basin is not well characterized. The U.S. Geological Survey, in cooperation with the Colorado Water Conservation Board and the Bureau of Reclamation, has established a groundwater-monitoring network on the east side of the Uncompahgre River Basin. Thirty wells total were installed for this project: 10 in 2012 (DS 923, http://dx.doi.org/10.3133/ds923), and 20 monitoring wells were installed during April and June 2014 which are presented in this report. This report presents location data, lithologic logs, well-construction diagrams, and well-development information. Understanding the groundwater system can provide managers with an additional metric for evaluating the effectiveness of salinity and selenium control projects.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds955","collaboration":"Prepared in cooperation with Colorado Water Conservation Board and the Bureau of Reclamation","usgsCitation":"Thomas, J.C., 2015, Installation of a groundwater monitoring-well network on the east side of the Uncompahgre River in the Lower Gunnison River Basin, Colorado, 2014: U.S. Geological Survey Data Series 955, 44 p., https://dx.doi.org/10.3133/ds955.","productDescription":"iv, 43 p.","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2014-04-01","temporalEnd":"2014-06-30","ipdsId":"IP-065498","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":309538,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://dx.doi.org/10.3133/ds923","text":"DS 923","description":"DS 923"},{"id":309537,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0955/ds955.pdf","text":"Report","size":"8.43 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 955"},{"id":309536,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0955/coverthb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Lower Gunnison River Basin, Uncompahgre River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.08349609375,\n 38.75140585784823\n ],\n [\n -107.91458129882812,\n 38.777372574181335\n ],\n [\n -107.9183578491211,\n 38.63618191259742\n ],\n [\n -107.84385681152344,\n 38.525070076783955\n ],\n [\n -107.64472961425781,\n 38.451168926369206\n ],\n [\n -107.7978515625,\n 38.36346433068098\n ],\n [\n -107.91698455810547,\n 38.49954915714596\n ],\n [\n -107.9794692993164,\n 38.55058194928367\n ],\n [\n -107.99835205078124,\n 38.65039396101565\n ],\n [\n -108.0893325805664,\n 38.74444410121545\n ],\n [\n -108.08349609375,\n 38.75140585784823\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, Mail Stop 415
Denver, CO 80225
http://co.water.usgs.gov
","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2015-10-07","noUsgsAuthors":false,"publicationDate":"2015-10-07","publicationStatus":"PW","scienceBaseUri":"56163426e4b0ba4884c61465","contributors":{"authors":[{"text":"Thomas, Judith C. 0000-0001-7883-1419 juthomas@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-1419","contributorId":1468,"corporation":false,"usgs":true,"family":"Thomas","given":"Judith","email":"juthomas@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":572894,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70157766,"text":"ofr20151180 - 2015 - Analysis of bathymetric surveys to identify coastal vulnerabilities at Cape Canaveral, Florida","interactions":[],"lastModifiedDate":"2015-10-09T07:58:25","indexId":"ofr20151180","displayToPublicDate":"2015-10-07T10:00:00","publicationYear":"2015","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":"2015-1180","title":"Analysis of bathymetric surveys to identify coastal vulnerabilities at Cape Canaveral, Florida","docAbstract":"
Cape Canaveral, Florida, is a prominent feature along the Southeast U.S. coastline. The region includes Merritt Island National Wildlife Refuge, Cape Canaveral Air Force Station, NASA’s Kennedy Space Center, and a large portion of Canaveral National Seashore. The actual promontory of the modern Cape falls within the jurisdictional boundaries of Cape Canaveral Air Force Station. Erosion hazards result from winter and tropical storms, changes in sand resources, sediment budgets, and sea-level rise. Previous work by the USGS has focused on the vulnerability of the dunes to storms, where updated bathymetry and topography have been used for modeling efforts. Existing research indicates that submerged shoals, ridges, and sandbars affect patterns of wave refraction and height, coastal currents, and control sediment transport. These seabed anomalies indicate the availability and movement of sand within the nearshore environment, which may be directly related to the stability of the Cape Canaveral shoreline. Understanding the complex dynamics of the offshore bathymetry and associated sediment pathways can help identify current and future erosion vulnerabilities due to short-term (for example, hurricane and other extreme storms) and long-term (for example, sea-level rise) hazards.
\nThe purpose of this work is to describe an updated bathymetric dataset collected in 2014 and compare it to previous datasets. The updated data focus on the bathymetric features and sediment transport pathways that connect the offshore regions to the shoreline and, therefore, are related to the protection of other portions of the coastal environment, such as dunes, that support infrastructure and ecosystems. Previous survey data include National Oceanic and Atmospheric Administration’s (NOAA) National Ocean Service (NOS) hydrographic survey from 1956 and a USGS survey from 2010 that is augmented with NOS surveys from 2006 and 2007. The primary result of this analysis is documentation and quantification of the nature and rates of bathymetric changes that are near (within about 2.5 km) the current Cape Canaveral shoreline and interpretation of the impact of these changes on future erosion vulnerability.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151180","usgsCitation":"Thompson, D.M., Plant, N.G., and Hansen, M.E., 2015, Analysis of bathymetric surveys to identify coastal vulnerabilities at Cape Canaveral, Florida: U.S. Geological Survey Open–File Report 2015–1180, 24 p., https://dx.doi.org/10.3133/ofr20151180.","productDescription":"vi, 24 p.","numberOfPages":"31","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-064347","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":309576,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1180/coverthb.jpg"},{"id":309577,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1180/ofr20151180.pdf","size":"6.74 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1180"},{"id":309798,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://dx.doi.org/10.5066/F75Q4T4N","text":"Single-Beam Bathymetry Data, Cape Canaveral, Florida, 2010","linkFileType":{"id":5,"text":"html"},"description":"OFR 2015-1180"}],"country":"United States","state":"Florida","city":"Cape Canaveral","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.63003540039062,\n 28.655645954019544\n ],\n [\n -80.57098388671874,\n 28.585727616133926\n ],\n [\n -80.56549072265625,\n 28.54954469910389\n ],\n [\n -80.55450439453125,\n 28.50369515241441\n ],\n [\n -80.53390502929688,\n 28.481969987679054\n ],\n [\n -80.52429199218749,\n 28.452996148032607\n ],\n [\n -80.53939819335938,\n 28.4433364363651\n ],\n [\n -80.5572509765625,\n 28.43971381702788\n ],\n [\n -80.57235717773438,\n 28.425222099239033\n ],\n [\n -80.58059692382812,\n 28.409520499193246\n ],\n [\n -80.4913330078125,\n 28.382943257980948\n ],\n [\n -80.44876098632812,\n 28.44454394857482\n ],\n [\n -80.45150756835938,\n 28.509729126769052\n ],\n [\n -80.48171997070312,\n 28.555576049185973\n ],\n [\n -80.48858642578125,\n 28.611048252984677\n ],\n [\n -80.52703857421875,\n 28.662876227341822\n ],\n [\n -80.54351806640625,\n 28.689382962051912\n ],\n [\n -80.63003540039062,\n 28.655645954019544\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
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http://coastal.er.usgs.gov/
Biological samples from various locations on Lake Powell and in the Colorado River in the tail water downstream of Glen Canyon Dam were collected by the Bureau of Reclamation and U.S. Geological Survey from December 1990 through December 2009 as part of a long-term water-quality monitoring program that began in 1964. These samples consisted of discrete (1-m deep) chlorophyll samples, discrete (1-m deep) wholewater phytoplankton samples, and 30-m vertically composited zooplankton samples filtered through an 80-µm plankton net. Chlorophyll concentration was determined by acetone extraction followed by trichromatic spectroscopy on 2,051 samples. Phytoplankton analysis consisted of identification to the genus or species level, enumeration, and estimation of biovolume on 1,397 samples. Phytoplankton analysis identified 646 different phytoplankton taxa. Zooplankton analysis consisted of identification to the genus or species level, enumeration, and estimation of biomass from 1,898 samples. Zooplankton analysis identified 114 different zooplankton taxa.
\nThe results of these analyses are presented in this report. From this record, further interpretation may be made concerning primary and secondary production in Lake Powell. These data provide a linkage between physical and chemical water-quality data and fisheries investigations in Lake Powell. They also provide information regarding the export of biological material from Glen Canyon Dam.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds959","collaboration":"Prepared in cooperation with Bureau of Reclamation","usgsCitation":"Vernieu, W.S., 2015, Biological data for water in Lake Powell and from Glen Canyon Dam releases, Utah and Arizona, 1990–2009: U.S. Geological Survey Data Series 959, 12 p., https://dx.doi.org/10.3133/ds959.","productDescription":"v, 12 p.","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1990-12-01","temporalEnd":"2009-12-31","ipdsId":"IP-041385","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":309706,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0959/coverthb.jpg"},{"id":309707,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0959/ds959.pdf","text":"Report","size":"500 KB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 959 PDF"}],"country":"United States","state":"Utah, Arizona","otherGeospatial":"Lake Powell, Colorado River, Glen Canyon Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.1,\n 36.5\n ],\n [\n -112.1,\n 38.1\n ],\n [\n -109.8,\n 38.1\n ],\n [\n -109.8,\n 36.5\n ],\n [\n -112.1,\n 36.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"SBSC Staff, Southwest Biological Science Center
U.S. Geological Survey
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http://sbsc.wr.usgs.gov/
Naturally–occurring hybrid treefrogs have been occasionally found in the eastern United States. However, these hybrids are almost always between members of the same species group. On 10 Jun 2014, at 2145 h, we located an individual making an unusual advertisement call along Bayou Manual Road in Sherburne Wildlife Management Area in the Atchafalaya Basin of south-central Louisiana, USA, and brought it back to the laboratory for further study. Physically, the treefrog appeared intermediate between a Green Treefrog and a Cope’s Gray Treefrog, which are members of different species groups. Call analysis also showed the individual to be intermediate between the two putative parental species. Flow cytometry was used to estimate the total genome size from nuclei of whole blood cells, and also determined the individual to be intermediate of the putative parental species. Despite vocalizing for mates, the hybrid did not appear to have viable spermatozoa, and was likely the result of an anomalous mis-mating event between a male Cope’s Gray Treefrog and a female Green Treefrog. To our knowledge, natural hybrids between a Cope’s Gray Treefrog and a Green Treefrog have not been previously reported.
","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Glorioso, B.M., Waddle, J., Jenkins, J.A., Olivier, H.M., and Layton, R.R., 2015, Hyla chrysoscelis (Cope’s gray treefrog) x Hyla cinerea (green treefrog): putative natural hybrid: Herpetological Review, v. 46, no. 3, p. 410-411.","productDescription":"2 p.","startPage":"410","endPage":"411","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059584","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":309686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":309684,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.zenscientist.com/index.php/pdflibrary2/Open-Access-Files/ssar_public/Herpetological-Review-1967-2015/2015-Herpetological-Review-46(3)-September/"}],"country":"United States","state":"Louisiana","otherGeospatial":"Atchafalaya Basin, Sherburne Wildlife Management Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.70150756835938,\n 30.3995298034023\n ],\n [\n -91.70150756835938,\n 30.45518486497521\n ],\n [\n -91.65172576904297,\n 30.45518486497521\n ],\n [\n -91.65172576904297,\n 30.3995298034023\n ],\n [\n -91.70150756835938,\n 30.3995298034023\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5614e2ade4b0ba4884c611a4","contributors":{"authors":[{"text":"Glorioso, Brad M. 0000-0002-5400-7414 gloriosob@usgs.gov","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":4241,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","email":"gloriosob@usgs.gov","middleInitial":"M.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":576546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, J. 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Quantitative fatty acid signature analysis (QFASA) is a prominent method of diet estimation, particularly for marine mammal and bird species. Investigators using QFASA commonly use computer simulation to evaluate statistical characteristics of diet estimators for the populations they study. Similar computer simulations have been used to explore and compare the performance of different variations of the original QFASA diet estimator. In both cases, computer simulations involve bootstrap sampling prey signature data to construct pseudo-predator signatures with known properties. However, bootstrap sample sizes have been selected arbitrarily and pseudo-predator signatures therefore may not have realistic properties. I develop an algorithm to objectively establish bootstrap sample sizes that generates pseudo-predator signatures with realistic properties, thereby enhancing the utility of computer simulation for assessing QFASA estimator performance. The algorithm also appears to be computationally efficient, resulting in bootstrap sample sizes that are smaller than those commonly used. I illustrate the algorithm with an example using data from Chukchi Sea polar bears (Ursus maritimus) and their marine mammal prey. The concepts underlying the approach may have value in other areas of quantitative ecology in which bootstrap samples are post-processed prior to their use.
","language":"English","publisher":"Science Direct","doi":"10.1016/j.ecoinf.2015.09.011","usgsCitation":"Bromaghin, J.F., 2015, Simulating realistic predator signatures in quantitative fatty acid signature analysis: Ecological Informatics, v. 30, p. 68-71, https://doi.org/10.1016/j.ecoinf.2015.09.011.","productDescription":"4 p.","startPage":"68","endPage":"71","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067252","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":309683,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5614e2ade4b0ba4884c611a6","contributors":{"authors":[{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","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":576564,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70158702,"text":"70158702 - 2015 - Water availability and subsidence in California's Central Valley","interactions":[],"lastModifiedDate":"2020-12-18T17:29:13.8648","indexId":"70158702","displayToPublicDate":"2015-10-06T14:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Water availability and subsidence in California's Central Valley","docAbstract":"The Central Valley in California (USA) covers about 52,000 km2 and is one of the most productive agricultural regions in the world. This agriculture relies heavily on surface-water diversions and groundwater pumpage to meet irrigation water demand. Because the valley is semi-arid and surface-water availability varies substantially, agriculture relies heavily on local groundwater. In the southern two thirds of the valley, the San Joaquin Valley, historic and recent groundwater pumpage has caused significant and extensive drawdowns, aquifer-system compaction and subsidence. During recent drought periods (2007-2009 and 2012-present), groundwater pumping has increased owing to a combination of decreased surface-water availability and land-use changes. Declining groundwater levels, approaching or surpassing historical low levels, have caused accelerated and renewed compaction and subsidence that likely is mostly permanent. The subsidence has caused operational, maintenance, and construction-design problems for water-delivery and floodcontrol canals in the San Joaquin Valley. Planning for the effects of continued subsidence in the area is important for water agencies. As land use, managed aquifer recharge, and surface-water availability continue to vary, long-term groundwater- level and subsidence monitoring and modelling are critical to understanding the dynamics of historical and continued groundwater use resulting in additional water-level and groundwater storage declines, and associated subsidence. Modeling tools such as the Central Valley Hydrologic Model, can be used in the evaluation of management strategies to mitigate adverse impacts due to subsidence while also optimizing water availability. This knowledge will be critical for successful implementation of recent legislation aimed toward sustainable groundwater use.
","language":"English","publisher":"University of California at Davis","doi":"10.1007/s10040-015-1339-x","usgsCitation":"Faunt, C.C., Sneed, M., Traum, J.A., and Brandt, J.T., 2015, Water availability and subsidence in California's Central Valley: San Francisco Estuary and Watershed Science, v. 13, no. 3, 8 p., https://doi.org/10.1007/s10040-015-1339-x.","productDescription":"8 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068386","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":471729,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-015-1339-x","text":"Publisher Index Page"},{"id":381504,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.05810546875,\n 40.70562793820589\n ],\n [\n -122.86010742187499,\n 40.38839687388361\n ],\n [\n -121.95922851562501,\n 37.93553306183642\n ],\n [\n -119.54223632812501,\n 35.074964853989556\n ],\n [\n -118.740234375,\n 35.0120020431607\n ],\n [\n -118.740234375,\n 36.10237644873644\n ],\n [\n -120.728759765625,\n 38.25543637637947\n ],\n [\n -122.05810546875,\n 40.70562793820589\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-17","publicationStatus":"PW","scienceBaseUri":"5614e2afe4b0ba4884c611a8","contributors":{"authors":[{"text":"Faunt, Claudia C. ccfaunt@usgs.gov","contributorId":149018,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia","email":"ccfaunt@usgs.gov","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":576574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sneed, Michelle 0000-0002-8180-382X micsneed@usgs.gov","orcid":"https://orcid.org/0000-0002-8180-382X","contributorId":149052,"corporation":false,"usgs":true,"family":"Sneed","given":"Michelle","email":"micsneed@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":576575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Traum, Jonathan A. 0000-0002-4787-3680 jtraum@usgs.gov","orcid":"https://orcid.org/0000-0002-4787-3680","contributorId":4780,"corporation":false,"usgs":true,"family":"Traum","given":"Jonathan","email":"jtraum@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brandt, Justin T. 0000-0002-9397-6824 jbrandt@usgs.gov","orcid":"https://orcid.org/0000-0002-9397-6824","contributorId":157,"corporation":false,"usgs":true,"family":"Brandt","given":"Justin","email":"jbrandt@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807112,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70158665,"text":"70158665 - 2015 - Effectiveness of a refuge for lake trout in western Lake Superior I: Empirical analysis of past performance","interactions":[],"lastModifiedDate":"2016-06-01T11:52:51","indexId":"70158665","displayToPublicDate":"2015-10-06T14:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Effectiveness of a refuge for lake trout in western Lake Superior I: Empirical analysis of past performance","docAbstract":"The Gull Island Shoal Refuge was created in 1976 in response to overfishing of the Lake Trout Salvelinus namaycush population in the Apostle Islands region of western Lake Superior. Our objective was to evaluate effectiveness of the refuge by determining whether Lake Trout abundance, growth, maturity, and mortality differed inside and outside the refuge. We compared abundance of wild and stocked fish captured inside and outside the refuge during spring large-mesh gill-net and summer graded-mesh gill-net surveys. We compared growth and mortality during four periods corresponding to four generations of wild Lake Trout, including the last generation that hatched before the refuge was instituted (sampled in 1981–1984) and three generations that were protected by the refuge (sampled in 1985–1992, 1993–2000, and 2001–2010). Maturity of wild fish inside and outside the refuge was compared only for the latter period (2001–2010) because maturity was not assessed earlier. After the refuge was created, wild Lake Trout abundance increased and stocked Lake Trout abundance decreased. Wild adults and juveniles were more abundant inside than outside the refuge, and stocked adults were less abundant inside than outside the refuge. Growth of wild fish did not differ inside versus outside the refuge before 2001, but wild fish grew faster to a shorter asymptotic length inside than outside the refuge during 2001–2010. Wild fish matured at a similar length but an older age inside than outside the refuge during 2001–2010. Survival of wild fish did not differ inside versus outside the refuge before 1993, but mortality was lower inside than outside the refuge during later periods (1993–2000 and 2001–2010). We conclude that the Gull Island Shoal Refuge enhanced the population growth of wild Lake Trout in the Apostle Islands region and should be retained in the future to sustain conditions that favor population growth.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2015.1074959","usgsCitation":"Johnson, M.J., Hansen, M.J., and Seider, M.J., 2015, Effectiveness of a refuge for lake trout in western Lake Superior I: Empirical analysis of past performance: North American Journal of Fisheries Management, v. 35, no. 5, p. 988-1002, https://doi.org/10.1080/02755947.2015.1074959.","productDescription":"15 p.","startPage":"988","endPage":"1002","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1981-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-065170","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":309690,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Lake Superior","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.99906921386719,\n 46.742213379963886\n ],\n [\n -90.99906921386719,\n 47.09069560264967\n ],\n [\n -90.37422180175781,\n 47.09069560264967\n ],\n [\n -90.37422180175781,\n 46.742213379963886\n ],\n [\n -90.99906921386719,\n 46.742213379963886\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-02","publicationStatus":"PW","scienceBaseUri":"5614e2abe4b0ba4884c611a0","contributors":{"authors":[{"text":"Johnson, Melissa J.","contributorId":148997,"corporation":false,"usgs":false,"family":"Johnson","given":"Melissa","email":"","middleInitial":"J.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":576417,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Michael J. 0000-0001-8522-3876 michaelhansen@usgs.gov","orcid":"https://orcid.org/0000-0001-8522-3876","contributorId":5006,"corporation":false,"usgs":true,"family":"Hansen","given":"Michael","email":"michaelhansen@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":576416,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seider, Michael J.","contributorId":19452,"corporation":false,"usgs":true,"family":"Seider","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":576418,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70157070,"text":"fs20153058 - 2015 - Assessment of undiscovered continuous oil and gas resources in the Monterey Formation, San Joaquin Basin Province, California, 2015","interactions":[],"lastModifiedDate":"2018-02-15T14:57:35","indexId":"fs20153058","displayToPublicDate":"2015-10-06T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3058","title":"Assessment of undiscovered continuous oil and gas resources in the Monterey Formation, San Joaquin Basin Province, California, 2015","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey assessed mean volumes of 21 million barrels of oil (MMBO), 27 billion cubic feet of gas, and 1 million barrels of natural gas liquids in two assessment units (AUs) that may contain continuous oil resources. Mean volumes of oil for the individual assessment units are 14 MMBO in the Monterey Buttonwillow AU and 7 MMBO in the Monterey Maricopa AU.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153058","collaboration":"Prepared in collaboration with National and Global Petroleum Assessment","usgsCitation":"Tennyson, M.E., Charpentier, R.R., Klett, T.R., Brownfield, M.E., Pitman, J.K., Gaswirth, S.B., Hawkins, S.J., Lillis, P.G., Marra, K.R., Mercier, T.J., Leathers, H.M., Schenk, C.J., and Whidden, K.J., 2015, Assessment of undiscovered continuous oil and gas resources in the Monterey Formation, San Joaquin Basin Province, California, 2015: U.S. Geological Survey Fact Sheet 2015-3058, 2 p., https://dx.doi.org/10.3133/fs20153058.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066185","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":308330,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3058/fs20153058.pdf","text":"Report","size":"797 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2015-3058"},{"id":308329,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2015/3058/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Monterey Formation, San Joaquin Basin Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.16845703125,\n 34.93097858831627\n ],\n [\n -120.16845703125,\n 36.43896124085945\n ],\n [\n -118.63037109375,\n 36.43896124085945\n ],\n [\n -118.63037109375,\n 34.93097858831627\n ],\n [\n -120.16845703125,\n 34.93097858831627\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver Federal Center
Denver, CO 80225-0046
http://energy.usgs.gov/
Historically, Lake Superior supported one of the largest and most diverse Lake Trout Salvelinus namaycush fisheries in the Laurentian Great Lakes, but Lake Trout stocks collapsed due to excessive fishery exploitation and predation by Sea Lampreys Petromyzon marinus. Lake Trout stocking, Sea Lamprey control, and fishery regulations, including a refuge encompassing Gull Island Shoal (Apostle Islands region), were used to enable recovery of Lake Trout stocks that used this historically important spawning shoal. Our objective was to determine whether future sustainability of Lake Trout stocks will depend on the presence of the Gull Island Shoal Refuge. We constructed a stochastic age-structured simulation model to assess the effect of maintaining the refuge as a harvest management tool versus removing the refuge. In general, median abundances of age-4, age-4 and older (age-4+), and age-8+ fish collapsed at lower instantaneous fishing mortality rates (F) when the refuge was removed than when the refuge was maintained. With the refuge in place, the F that resulted in collapse depended on the rate of movement into and out of the refuge. Too many fish stayed in the refuge when movement was low (0–2%), and too many fish became vulnerable to fishing when movement was high (≥22%); thus, the refuge was more effective at intermediate rates of movement (10–11%). With the refuge in place, extinction did not occur at any simulated level of F, whereas refuge removal led to extinction at all combinations of commercial F and recreational F. Our results indicate that the Lake Trout population would be sustained by the refuge at all simulated F-values, whereas removal of the refuge would risk population collapse at much lower F (0.700–0.744). Therefore, the Gull Island Shoal Refuge is needed to sustain the Lake Trout population in eastern Wisconsin waters of Lake Superior.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Lawrence, KS","doi":"10.1080/02755947.2015.1074960","usgsCitation":"Akins, A.L., Hansen, M.J., and Seider, M.J., 2015, Effectiveness of a refuge for Lake Trout in Western Lake Superior II: Simulation of future performance: North American Journal of Fisheries Management, v. 35, no. 5, p. 1003-1018, https://doi.org/10.1080/02755947.2015.1074960.","productDescription":"16 p.","startPage":"1003","endPage":"1018","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065104","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":309581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Minnesota, Wisconsin","otherGeospatial":"Lake Superior","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.451416015625,\n 48.77067246880509\n ],\n [\n -86.275634765625,\n 48.436489955944154\n ],\n [\n -85.97900390625,\n 47.931066347509784\n ],\n [\n -85.594482421875,\n 47.87214396888731\n ],\n [\n -85.111083984375,\n 47.938426929481054\n ],\n [\n -84.803466796875,\n 47.938426929481054\n ],\n [\n -84.847412109375,\n 47.81315451752768\n ],\n [\n -85.01220703125,\n 47.58393661978137\n ],\n [\n -84.88037109375,\n 47.45037978769006\n ],\n [\n -84.66064453125,\n 47.30903424774781\n ],\n [\n -84.78149414062499,\n 47.05515408550348\n ],\n [\n -84.78149414062499,\n 46.94276208682137\n ],\n [\n -84.451904296875,\n 46.875213396722685\n ],\n [\n -84.55078125,\n 46.717268685073954\n ],\n [\n -84.638671875,\n 46.53619267489863\n ],\n [\n -84.825439453125,\n 46.48326472915561\n ],\n [\n -84.979248046875,\n 46.626806395355175\n ],\n [\n -84.91333007812499,\n 46.7549166192819\n ],\n [\n -85.067138671875,\n 46.800059446787316\n ],\n [\n -85.50659179687499,\n 46.717268685073954\n ],\n [\n -86.06689453125,\n 46.694667307773116\n ],\n [\n -86.561279296875,\n 46.521075663842836\n ],\n [\n -86.8798828125,\n 46.521075663842836\n ],\n [\n -87.07763671875,\n 46.543749602738565\n ],\n [\n -87.374267578125,\n 46.521075663842836\n ],\n [\n -87.703857421875,\n 46.89023157359399\n ],\n [\n -88.231201171875,\n 46.965259400349275\n ],\n [\n -88.428955078125,\n 46.927758623434435\n ],\n [\n -88.26416015625,\n 47.092565552235705\n ],\n [\n -87.86865234374999,\n 47.30903424774781\n ],\n [\n -87.60498046875,\n 47.42065432071321\n ],\n [\n -87.923583984375,\n 47.50978034953473\n ],\n [\n -88.385009765625,\n 47.47266286861342\n ],\n [\n -88.76953125,\n 47.234489635299184\n ],\n [\n -89.483642578125,\n 46.912750956378915\n ],\n [\n -89.967041015625,\n 46.800059446787316\n ],\n [\n -90.4833984375,\n 46.619261036171515\n ],\n [\n -90.692138671875,\n 46.70973594407157\n ],\n [\n -90.94482421875,\n 46.702202151643455\n ],\n [\n -90.758056640625,\n 46.93526088057719\n ],\n [\n -90.94482421875,\n 46.93526088057719\n ],\n [\n -91.3623046875,\n 46.830133640447386\n ],\n [\n -91.845703125,\n 46.73986059969267\n ],\n [\n -92.054443359375,\n 46.7549166192819\n ],\n [\n -92.076416015625,\n 46.807579571992385\n ],\n [\n -91.395263671875,\n 47.16730970131578\n ],\n [\n -90.911865234375,\n 47.53945544742392\n ],\n [\n -90.1318359375,\n 47.80577611936809\n ],\n [\n -89.58251953125,\n 47.96785877999253\n ],\n [\n -89.26391601562499,\n 48.188063481211415\n ],\n [\n -89.23095703125,\n 48.472921272487824\n ],\n [\n -88.9013671875,\n 48.61838518688487\n ],\n [\n -88.43994140625,\n 48.90083790234088\n ],\n [\n -88.22021484375,\n 49.001843917978526\n ],\n [\n -86.451416015625,\n 48.77067246880509\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-02","publicationStatus":"PW","scienceBaseUri":"56139122e4b0ba4884c60f62","contributors":{"authors":[{"text":"Akins, Andrea L","contributorId":148998,"corporation":false,"usgs":false,"family":"Akins","given":"Andrea","email":"","middleInitial":"L","affiliations":[{"id":17613,"text":"University of Wisconsin - Stevens Point","active":true,"usgs":false}],"preferred":false,"id":576420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Michael J. 0000-0001-8522-3876 michaelhansen@usgs.gov","orcid":"https://orcid.org/0000-0001-8522-3876","contributorId":5006,"corporation":false,"usgs":true,"family":"Hansen","given":"Michael","email":"michaelhansen@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":576419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seider, Michael J.","contributorId":19452,"corporation":false,"usgs":true,"family":"Seider","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":576421,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70158673,"text":"70158673 - 2015 - Classification of rocky headlands in California with relevance to littoral cell boundary delineation","interactions":[],"lastModifiedDate":"2016-10-04T09:21:26","indexId":"70158673","displayToPublicDate":"2015-10-05T13:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Classification of rocky headlands in California with relevance to littoral cell boundary delineation","docAbstract":"Despite extensive studies of hydrodynamics and sediment flux along beaches, there is little information on the processes, pathways and timing of water and sediment transport around rocky headlands. In this study, headlands along the California coast are classified to advance understanding of headland dynamics and littoral cell boundaries in support of improved coastal management decisions. Geomorphological parameters for 78 headlands were quantified from geological maps, remote-sensing imagery, navigational charts, and shoreline geospatial databases. K-means cluster analysis grouped the headlands into eight distinct classes based on headland perimeter, bathymetric slope ratio, and the headland apex angle. Wave data were used to investigate the potential for sediment transport around the headland types and determine the efficacy of the headland as a littoral cell boundary. Four classes of headland appear to function well as littoral cell boundaries, with headland size (e.g., perimeter or area) and a marked change in nearshore bathymetry across the headland being relevant attributes. About half of the traditional California littoral cell boundaries align with headland classes that are expected to perform poorly in blocking alongshore sediment transport, calling into question these boundaries. Better definition of these littoral cell boundaries is important for regional sediment management decisions.
","language":"English","publisher":"Elsevier Science Direct","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.margeo.2015.08.010","collaboration":"University of California at Davis","usgsCitation":"George, D.A., Largier, J.L., Storlazzi, C., and Barnard, P.L., 2015, Classification of rocky headlands in California with relevance to littoral cell boundary delineation: Marine Geology, v. 369, p. 137-152, https://doi.org/10.1016/j.margeo.2015.08.010.","productDescription":"16 p.","startPage":"137","endPage":"152","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062540","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":309565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.18945312500001,\n 41.0130657870063\n ],\n [\n -123.79394531249999,\n 40.16208338164619\n ],\n [\n -122.71728515624999,\n 38.16911413556086\n ],\n [\n -121.59667968749999,\n 38.151837403006766\n ],\n [\n -121.61865234375,\n 36.43896124085945\n ],\n [\n -120.78369140624999,\n 35.496456056584165\n ],\n [\n -120.1904296875,\n 34.813803317113155\n ],\n [\n -119.17968749999999,\n 34.470335121217495\n ],\n [\n -118.10302734374999,\n 34.10725639663118\n ],\n [\n -117.09228515624999,\n 32.91648534731439\n ],\n [\n -116.98242187499999,\n 32.491230287947594\n ],\n [\n -117.44384765625,\n 32.194208672875355\n ],\n [\n -119.28955078124999,\n 32.713355353177555\n ],\n [\n -122.82714843749999,\n 37.055177106660814\n ],\n [\n -124.07958984375001,\n 38.94232097947902\n ],\n [\n -124.91455078125,\n 40.59727063442027\n ],\n [\n -124.18945312500001,\n 41.0130657870063\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"369","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56139122e4b0ba4884c60f60","contributors":{"authors":[{"text":"George, Douglas A.","contributorId":60328,"corporation":false,"usgs":true,"family":"George","given":"Douglas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":576438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Largier, John L.","contributorId":175121,"corporation":false,"usgs":false,"family":"Largier","given":"John","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":576439,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":2333,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","email":"cstorlazzi@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":576437,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":140982,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":576440,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159172,"text":"70159172 - 2015 - Statistical models for the analysis and design of digital polymerase chain (dPCR) experiments","interactions":[],"lastModifiedDate":"2016-07-11T15:43:19","indexId":"70159172","displayToPublicDate":"2015-10-05T13:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":761,"text":"Analytical Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Statistical models for the analysis and design of digital polymerase chain (dPCR) experiments","docAbstract":"Statistical methods for the analysis and design of experiments using digital PCR (dPCR) have received only limited attention and have been misused in many instances. To address this issue and to provide a more general approach to the analysis of dPCR data, we describe a class of statistical models for the analysis and design of experiments that require quantification of nucleic acids. These models are mathematically equivalent to generalized linear models of binomial responses that include a complementary, log–log link function and an offset that is dependent on the dPCR partition volume. These models are both versatile and easy to fit using conventional statistical software. Covariates can be used to specify different sources of variation in nucleic acid concentration, and a model’s parameters can be used to quantify the effects of these covariates. For purposes of illustration, we analyzed dPCR data from different types of experiments, including serial dilution, evaluation of copy number variation, and quantification of gene expression. We also showed how these models can be used to help design dPCR experiments, as in selection of sample sizes needed to achieve desired levels of precision in estimates of nucleic acid concentration or to detect differences in concentration among treatments with prescribed levels of statistical power.
","language":"English","publisher":"American Chemical Society","publisherLocation":"Washington, DC","doi":"10.1021/acs.analchem.5b02429","usgsCitation":"Dorazio, R., and Hunter, M., 2015, Statistical models for the analysis and design of digital polymerase chain (dPCR) experiments: Analytical Chemistry, v. 87, no. 21, p. 10886-10893, https://doi.org/10.1021/acs.analchem.5b02429.","productDescription":"8 p.","startPage":"10886","endPage":"10893","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066660","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":310034,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","issue":"21","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-13","publicationStatus":"PW","scienceBaseUri":"56261492e4b0fb9a11dd7651","contributors":{"authors":[{"text":"Dorazio, Robert 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":149286,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":577747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunter, Margaret 0000-0002-4760-9302 mhunter@usgs.gov","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":140627,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","email":"mhunter@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":577748,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70158639,"text":"70158639 - 2015 - Response of the nitrogen-fixing lichen Lobaria pulmonaria to phosphorus, molybdenum, and vanadium","interactions":[],"lastModifiedDate":"2017-11-22T17:41:51","indexId":"70158639","displayToPublicDate":"2015-10-05T13:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Response of the nitrogen-fixing lichen Lobaria pulmonaria to phosphorus, molybdenum, and vanadium","docAbstract":"Nitrogen-fixing lichens (cyanolichens) are an important source of nitrogen (N) in Pacific Northwest forests, but limitation of lichen growth by elements essential for N fixation is poorly understood. To investigate how nutrient limitation may affect cyanolichen growth rates, we fertilized a tripartite cyanobacterial lichen (Lobaria pulmonaria) and a green algal non-nitrogen fixing lichen (Usnea longissima) with the micronutrients molybdenum (Mo) and vanadium (V), both known cofactors for enzymes involved in N fixation, and the macronutrient phosphorus (P). We then grew treated lichens in the field for one year in western Oregon, USA. Lichen growth was very rapid for both species and did not differ across treatments, despite a previous demonstration of P-limitation in L. pulmonaria at a nearby location. To reconcile these disparate findings, we analyzed P, Mo, and V concentrations, natural abundance δ15N isotopes, %N and change in thallus N in Lobaria pulmonaria from both growth experiments. Nitrogen levels in deposition and in lichens could not explain the large difference in growth or P limitation observed between the two studies. Instead, we provide evidence that local differences in P availability may have caused site-specific responses of Lobaria to P fertilization. In the previous experiment, Lobaria had low background levels of P, and treatment with P more than doubled growth. In contrast, Lobaria from the current experiment had much higher background P concentrations, similar to P-treated lichens in the previous experiment, consistent with the idea that ambient variation in P availability influences the degree of P limitation in cyanolichens. We conclude that insufficient P, Mo, and V did not limit the growth of either cyanolichens or chlorolichens at the site of the current experiment. Our findings point to the need to understand landscape-scale variation in P availability to cyanolichens, and its effect on spatial patterns of cyanolichen nutrient limitation and N fixation.
","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1890/ES15-00140.1","usgsCitation":"Marks, J.A., Pett-Ridge, J., Perakis, S.S., Allen, J.L., and McCune, B., 2015, Response of the nitrogen-fixing lichen Lobaria pulmonaria to phosphorus, molybdenum, and vanadium: Ecosphere, v. 6, no. 9, Art 155: 17 p., https://doi.org/10.1890/ES15-00140.1.","productDescription":"Art 155: 17 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064227","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":471731,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es15-00140.1","text":"Publisher Index Page"},{"id":309578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","county":"Douglas County, Polk County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.6,\n 43\n ],\n [\n -123.6,\n 43.1\n ],\n [\n -123.5,\n 43.1\n ],\n [\n -123.5,\n 43\n ],\n [\n -123.6,\n 43\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.6,\n 44.7\n ],\n [\n -123.6,\n 44.8\n ],\n [\n -123.5,\n 44.8\n ],\n [\n -123.5,\n 44.7\n ],\n [\n -123.6,\n 44.7\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-25","publicationStatus":"PW","scienceBaseUri":"56139126e4b0ba4884c60f6c","contributors":{"authors":[{"text":"Marks, Jade A","contributorId":146930,"corporation":false,"usgs":false,"family":"Marks","given":"Jade","email":"","middleInitial":"A","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":576576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pett-Ridge, Julie","contributorId":146932,"corporation":false,"usgs":false,"family":"Pett-Ridge","given":"Julie","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":576577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perakis, Steven S. sperakis@usgs.gov","contributorId":3117,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":576578,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Jessica L","contributorId":149053,"corporation":false,"usgs":false,"family":"Allen","given":"Jessica","email":"","middleInitial":"L","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":576579,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCune, Bruce","contributorId":149054,"corporation":false,"usgs":false,"family":"McCune","given":"Bruce","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":576580,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70158597,"text":"70158597 - 2015 - Avian community responses to post-fire forest structure: Implications for fire management in mixed conifer forests","interactions":[],"lastModifiedDate":"2016-01-25T12:39:01","indexId":"70158597","displayToPublicDate":"2015-10-05T13:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Avian community responses to post-fire forest structure: Implications for fire management in mixed conifer forests","docAbstract":"Fire is a natural process and the dominant disturbance shaping plant and animal communities in many coniferous forests of the western US. Given that fire size and severity are predicted to increase in the future, it has become increasingly important to understand how wildlife responds to fire and post-fire management. The Angora Fire burned 1243 hectares of mixed conifer forest in South Lake Tahoe, California. We conducted avian point counts for the first 3 years following the fire in burned and unburned areas to investigate which habitat characteristics are most important for re-establishing or maintaining the native avian community in post-fire landscapes. We used a multi-species occurrence model to estimate how avian species are influenced by the density of live and dead trees and shrub cover. While accounting for variations in the detectability of species, our approach estimated the occurrence probabilities of all species detected including those that were rare or observed infrequently. Although all species encountered in this study were detected in burned areas, species-specific modeling results predicted that some species were strongly associated with specific post-fire conditions, such as a high density of dead trees, open-canopy conditions or high levels of shrub cover that occur at particular burn severities or at a particular time following fire. These results indicate that prescribed fire or managed wildfire which burns at low to moderate severity without at least some high-severity effects is both unlikely to result in the species assemblages that are unique to post-fire areas or to provide habitat for burn specialists. Additionally, the probability of occurrence for many species was associated with high levels of standing dead trees indicating that intensive post-fire harvest of these structures could negatively impact habitat of a considerable proportion of the avian community.
","language":"English","publisher":"Zoological Society of London","publisherLocation":"Cambridge, United Kingdom","doi":"10.1111/acv.12237","usgsCitation":"White, A.M., Manley, P.N., Tarbill, G., Richardson, T., Russell, R.E., Safford, H.D., and Dobrowski, S.Z., 2015, Avian community responses to post-fire forest structure: Implications for fire management in mixed conifer forests: Animal Conservation, 9 p., https://doi.org/10.1111/acv.12237.","productDescription":"9 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055788","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":309571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Lake Tahoe basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.1,\n 38.8\n ],\n [\n -120.1,\n 38.9\n ],\n [\n -120,\n 38.9\n ],\n [\n -120,\n 38.8\n ],\n [\n -120.1,\n 38.8\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-28","publicationStatus":"PW","scienceBaseUri":"5613911fe4b0ba4884c60f5e","contributors":{"authors":[{"text":"White, Angela M.","contributorId":84255,"corporation":false,"usgs":true,"family":"White","given":"Angela","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":576249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manley, Patricia N.","contributorId":79010,"corporation":false,"usgs":true,"family":"Manley","given":"Patricia","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":576250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tarbill, Gina","contributorId":148953,"corporation":false,"usgs":false,"family":"Tarbill","given":"Gina","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":576251,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richardson, T.L.","contributorId":78607,"corporation":false,"usgs":true,"family":"Richardson","given":"T.L.","email":"","affiliations":[],"preferred":false,"id":576253,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Russell, Robin E. 0000-0001-8726-7303 rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":3998,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":576248,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Safford, Hugh D.","contributorId":112922,"corporation":false,"usgs":true,"family":"Safford","given":"Hugh","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":576252,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dobrowski, Solomon Z.","contributorId":8751,"corporation":false,"usgs":true,"family":"Dobrowski","given":"Solomon","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":576254,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70158674,"text":"70158674 - 2015 - Many atolls may be uninhabitable within decades due to climate change","interactions":[],"lastModifiedDate":"2015-10-05T13:32:53","indexId":"70158674","displayToPublicDate":"2015-10-05T13:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Many atolls may be uninhabitable within decades due to climate change","docAbstract":"Observations show global sea level is rising due to climate change, with the highest rates in the tropical Pacific Ocean where many of the world’s low-lying atolls are located. Sea-level rise is particularly critical for low-lying carbonate reef-lined atoll islands; these islands have limited land and water available for human habitation, water and food sources, and ecosystems that are vulnerable to inundation from sea-level rise. Here we demonstrate that sea-level rise will result in larger waves and higher wave-driven water levels along atoll islands’ shorelines than at present. Numerical model results reveal waves will synergistically interact with sea-level rise, causing twice as much land forecast to be flooded for a given value of sea-level rise than currently predicted by current models that do not take wave-driven water levels into account. Atolls with islands close to the shallow reef crest are more likely to be subjected to greater wave-induced run-up and flooding due to sea-level rise than those with deeper reef crests farther from the islands’ shorelines. It appears that many atoll islands will be flooded annually, salinizing the limited freshwater resources and thus likely forcing inhabitants to abandon their islands in decades, not centuries, as previously thought.
","language":"English","publisher":"Nature Publishing Group","publisherLocation":"London, United Kingdom","doi":"10.1038/srep14546","collaboration":"Deltares U.S.A., Hawaii Cooperative Studies Unit","usgsCitation":"Storlazzi, C.D., Elias, E.P., and Berkowitz, P., 2015, Many atolls may be uninhabitable within decades due to climate change: Scientific Reports, v. 5, p. 1-9, https://doi.org/10.1038/srep14546.","productDescription":"Art 14546: 9 p.","startPage":"1","endPage":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063820","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471730,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep14546","text":"Publisher Index Page"},{"id":309559,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Midway Atoll, Laysan Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -177.33083724975583,\n 28.21986116672942\n ],\n [\n -177.34182357788086,\n 28.213810689875928\n ],\n [\n -177.36448287963867,\n 28.21910487587188\n ],\n [\n -177.37546920776367,\n 28.221978752630008\n ],\n [\n -177.39006042480466,\n 28.217894799357122\n ],\n [\n -177.39967346191406,\n 28.18945405424149\n ],\n [\n -177.38079071044922,\n 28.194598154006137\n ],\n [\n -177.36825942993164,\n 28.197623979398678\n ],\n [\n -177.3625946044922,\n 28.203675373165503\n ],\n [\n -177.352294921875,\n 28.20382665361861\n ],\n [\n -177.32603073120117,\n 28.20231383944811\n ],\n [\n -177.31813430786133,\n 28.20791114488013\n ],\n [\n -177.31985092163086,\n 28.216835971157135\n ],\n [\n -177.33083724975583,\n 28.21986116672942\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -171.7060089111328,\n 25.7989638778495\n ],\n [\n -171.73261642456052,\n 25.732024280088133\n ],\n [\n -171.7624855041504,\n 25.74192073145334\n ],\n [\n -171.7741584777832,\n 25.774696838890705\n ],\n [\n -171.71184539794922,\n 25.800045732089465\n ],\n [\n -171.7060089111328,\n 25.7989638778495\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-25","publicationStatus":"PW","scienceBaseUri":"56139123e4b0ba4884c60f66","contributors":{"authors":[{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":576452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elias, Edwin P.L.","contributorId":47295,"corporation":false,"usgs":true,"family":"Elias","given":"Edwin","email":"","middleInitial":"P.L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":576453,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berkowitz, Paul pberkowitz@usgs.gov","contributorId":4642,"corporation":false,"usgs":true,"family":"Berkowitz","given":"Paul","email":"pberkowitz@usgs.gov","affiliations":[],"preferred":true,"id":576454,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70158676,"text":"70158676 - 2015 - Projected wave conditions in the Eastern North Pacific under the influence of two CMIP5 climate scenarios","interactions":[],"lastModifiedDate":"2015-12-07T11:17:03","indexId":"70158676","displayToPublicDate":"2015-10-05T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2925,"text":"Ocean Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Projected wave conditions in the Eastern North Pacific under the influence of two CMIP5 climate scenarios","docAbstract":"Hindcast and 21st century winds, simulated by General Circulation Models (GCMs), were used to drive global- and regional-scale spectral wind-wave generation models in the Pacific Ocean Basin to assess future wave conditions along the margins of the North American west coast and Hawaiian Islands. Three-hourly winds simulated by four separate GCMs were used to generate an ensemble of wave conditions for a recent historical time-period (1976–2005) and projections for the mid and latter parts of the 21st century under two radiative forcing scenarios (RCP 4.5 and RCP 8.5), as defined by the fifth phase of the Coupled Model Inter-comparison Project (CMIP5) experiments. Comparisons of results from historical simulations with wave buoy and ERA-Interim wave reanalysis data indicate acceptable model performance of wave heights, periods, and directions, giving credence to generating projections. Mean and extreme wave heights are projected to decrease along much of the North American west coast. Extreme wave heights are projected to decrease south of ∼50°N and increase to the north, whereas extreme wave periods are projected to mostly increase. Incident wave directions associated with extreme wave heights are projected to rotate clockwise at the eastern end of the Aleutian Islands and counterclockwise offshore of Southern California. Local spatial patterns of the changing wave climate are similar under the RCP 4.5 and RCP 8.5 scenarios, but stronger magnitudes of change are projected under RCP 8.5. Findings of this study are similar to previous work using CMIP3 GCMs that indicates decreasing mean and extreme wave conditions in the Eastern North Pacific, but differ from other studies with respect to magnitude and local patterns of change. This study contributes toward a larger ensemble of global and regional climate projections needed to better assess uncertainty of potential future wave climate change, and provides model boundary conditions for assessing the impacts of climate change on coastal systems.
","language":"English","publisher":"Elsevier Science Ltd","publisherLocation":"Oxford, United Kingdom","doi":"10.1016/j.ocemod.2015.07.004","collaboration":"Christie Hegermiller, UCSC; Peter Ruggiero, Oregon State University; Maarten van Ormondt, Deltares,","usgsCitation":"Erikson, L., Hegermiller, C., Barnard, P., Ruggiero, P., and van Ormondt, M., 2015, Projected wave conditions in the Eastern North Pacific under the influence of two CMIP5 climate scenarios: Ocean Modelling, v. 96, no. 1, p. 171-185, https://doi.org/10.1016/j.ocemod.2015.07.004.","productDescription":"15 p.","startPage":"171","endPage":"185","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051162","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":309542,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -180,\n -3.513421045640032\n ],\n [\n -180,\n 65.2198939361321\n ],\n [\n -78.046875,\n 65.2198939361321\n ],\n [\n -78.046875,\n -3.513421045640032\n ],\n [\n -180,\n -3.513421045640032\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"96","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56139126e4b0ba4884c60f6a","contributors":{"authors":[{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":147149,"corporation":false,"usgs":true,"family":"Erikson","given":"Li H.","email":"lerikson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":576458,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hegermiller, Christie 0000-0002-6383-7508 chegermiller@usgs.gov","orcid":"https://orcid.org/0000-0002-6383-7508","contributorId":149010,"corporation":false,"usgs":true,"family":"Hegermiller","given":"Christie","email":"chegermiller@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":576459,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":576460,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruggiero, Peter","contributorId":15709,"corporation":false,"usgs":false,"family":"Ruggiero","given":"Peter","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":576461,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van Ormondt, Martin","contributorId":149011,"corporation":false,"usgs":false,"family":"van Ormondt","given":"Martin","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":576462,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70157362,"text":"ofr20151176 - 2015 - Preliminary estimates of annual agricultural pesticide use for counties of the conterminous United States, 2013","interactions":[],"lastModifiedDate":"2016-06-29T13:17:10","indexId":"ofr20151176","displayToPublicDate":"2015-10-05T09:45:00","publicationYear":"2015","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":"2015-1176","title":"Preliminary estimates of annual agricultural pesticide use for counties of the conterminous United States, 2013","docAbstract":"This report provides preliminary estimates of annual agricultural use of 387 pesticide compounds in counties of the conterminous United States in 2013, compiled by means of methods described in Thelin and Stone (2013) and Baker and Stone (2015). U.S. Department of Agriculture county-level data for harvested-crop acreage were used in conjunction with proprietary Crop Reporting District-level pesticide-use data to estimate county-level pesticide use. Where Crop Reporting District data were not available or were incomplete, estimated pesticide use values were calculated with two different methods, resulting in a low and a high estimate based on different assumptions about missing survey data (Thelin and Stone, 2013). Preliminary estimates in this report are expected to be revised upon availability of updated crop acreages in the 2017 Agricultural Census, to be published by the U.S. Department of Agriculture in 2019. Estimates of annual agricultural pesticide use are provided as downloadable, tab-delimited files, which are organized by compound, year, state Federal Information Processing Standard (FIPS) code, county Federal Information Processing Standard code, and amount in kilograms (kg). The files, listed below, are a continuation of the 1992–2009 and 2008–2012 pesticide-use estimates reported by Stone (2013) and Baker and Stone (2015), respectively:
\nHigh estimates of county pesticide use, arranged by pesticide name:
\nTable 1. 1-Methyl Cyclopropene through Chlorantraniliprole
Table 2. Chlorethoxyfos through Diflufenzopyr
Table 3. Dimethenamid through Gibberellic Acid
Table 4. Glufosinate through Metiram
Table 5. Metolachlor through Propazine
Table 6. Propiconazole through Triasulfuron
Table 7. Tribenuron Methyl through Zoxamide
Low estimates of county pesticide use, arranged by pesticide name:
\nTable 8. 1-Methyl Cyclopropene through Chlorantraniliprole
Table 9. Chlorethoxyfos through Diflufenzopyr
Table 10. Dimethenamid through Gibberellic Acid
Table 11. Glufosinate through Metiram
Table 12. Metolachlor through Propazine
Table 13. Propiconazole through Triasulfuron
Table 14. Tribenuron Methyl through Zoxamide
Baker, N.T., and Stone, W.W., 2015, Estimated annual agricultural pesticide use for counties of the conterminous United States, 2008–12: U.S. Geological Survey Data Series 907, 9 p., accessed July, 12, 2015, at http://dx.doi.org/10.3133/ds907.
\nStone, W.W., 2013, Estimated annual agricultural pesticide use for counties of the conterminous United States, 1992–2009: U.S. Geological Survey Data Series 752, 1 p., 14 tables
\nThelin, G.P., and Stone, W.W., 2013, Estimation of annual agricultural pesticide use for counties of the conterminous United States,
1992–2009: U.S. Geological Survey Scientific Investigations Report 2013–5009, 54 p.
Director, Indiana Water Science Center
5957 Lakeside Blvd.
Indianapolis, IN 46278
http://in.water.usgs.gov/
Introduction
\nPesticide-Use Estimates
\nAcknowledgments
\nEmpirical relationships between field-derived Leaf Area Index (LAI) and Leaf Angle Distribution (LAD) and polarimetric synthetic aperture radar (PolSAR) based biophysical indicators were created and applied to map S. alterniflora marsh canopy structure. PolSAR and field data were collected near concurrently in the summers of 2010, 2011, and 2012 in coastal marshes, and PolSAR data alone were acquired in 2009. Regression analyses showed that LAI correspondence with the PolSAR biophysical indicator variables equaled or exceeded those of vegetation water content (VWC) correspondences. In the final six regressor model, the ratio HV/VV explained 49% of the total 77% explained LAI variance, and the HH-VV coherence and phase information accounted for the remainder. HV/HH dominated the two regressor LAD relationship, and spatial heterogeneity and backscatter mechanism followed by coherence information dominated the final three regressor model that explained 74% of the LAD variance. Regression results applied to 2009 through 2012 PolSAR images showed substantial changes in marsh LAI and LAD. Although the direct cause was not substantiated, following a release of freshwater in response to the 2010 Deepwater Horizon oil spill, the fairly uniform interior marsh structure of 2009 was more vertical and dense shortly after the oil spill cessation. After 2010, marsh structure generally progressed back toward the 2009 uniformity; however, the trend was more disjointed in oil impact marshes.
","language":"English","publisher":"Molecular Diversity Preservation International","publisherLocation":"Basel, Switzerland","doi":"10.3390/rs70911295","collaboration":"Amina Rangoonwala USGS, Cathleen E Jones NASA-CalTech","usgsCitation":"Ramsey, E.W., Rangoonwala, A., and Jones, C.E., 2015, Structural classification of marshes with Polarimetric SAR highlighting the temporal mapping of marshes exposed to oil: Remote Sensing, v. 7, no. 9, p. 11295-11321, https://doi.org/10.3390/rs70911295.","productDescription":"27 p.","startPage":"11295","endPage":"11321","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063104","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":471732,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs70911295","text":"Publisher Index Page"},{"id":309543,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.5,\n 29\n ],\n [\n -92.5,\n 30\n ],\n [\n -89.5,\n 30\n ],\n [\n -89.5,\n 29\n ],\n [\n -92.5,\n 29\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"9","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-02","publicationStatus":"PW","scienceBaseUri":"56139126e4b0ba4884c60f6e","contributors":{"authors":[{"text":"Ramsey, Elijah W. III 0000-0002-4518-5796 ramseye@usgs.gov","orcid":"https://orcid.org/0000-0002-4518-5796","contributorId":2883,"corporation":false,"usgs":true,"family":"Ramsey","given":"Elijah","suffix":"III","email":"ramseye@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":576455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rangoonwala, Amina 0000-0002-0556-0598 rangoonwalaa@usgs.gov","orcid":"https://orcid.org/0000-0002-0556-0598","contributorId":3455,"corporation":false,"usgs":true,"family":"Rangoonwala","given":"Amina","email":"rangoonwalaa@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":576456,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Cathleen E.","contributorId":11890,"corporation":false,"usgs":true,"family":"Jones","given":"Cathleen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":576457,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}