In 2010, the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center completed three cruises to map the bathymetry of the main channel and shallow intertidal mudflats in the southernmost part of south San Francisco Bay. The three surveys were merged to generate comprehensive maps of Coyote Creek (from Calaveras Point east to the railroad bridge) and Alviso Slough (from the bay to the town of Alviso) to establish baseline bathymetry prior to the breaching of levees adjacent to Alviso and Guadalupe Sloughs as part of the South Bay Salt Pond Restoration Project (http://www.southbayrestoration.org). Since 2010, the USGS has conducted fourteen additional surveys to monitor bathymetric change in this region as restoration progresses.
The bathymetric surveys were conducted using the state-of-the-art research vessel R/V Parke Snavely outfitted with an interferometric sidescan sonar for swath mapping in extremely shallow water. This publication provides high-resolution bathymetric data collected by the USGS. For the 2010 baseline survey we have merged the bathymetry with aerial lidar data that were collected for the USGS during the same time period to create a seamless, high-resolution digital elevation model (DEM) of the study area. The series of bathymetric datasets are provided at 1 m resolution and the 2010 bathymetric/topographic DEM at 2 m resolution. The data are formatted as both X, Y, Z text files and ESRI Arc ASCII files that are accompanied by Federal Geographic Data Committee (FGDC) compliant metadata.
Pacific Coastal and Marine Science Center
U.S. Geological Survey
2885 Mission Street
Santa Cruz, CA 95060
Many Federal, State, and local agencies use low-flow data to establish water-use policy and help determine the total maximum daily loads and effluent limits of point and nonpoint sources of contamination of surface water during periods of decreased streamflow. Low-flow magnitude and frequency are used often by water-supply planners, reservoir managers, and hydroelectric facilities to manage water availability for supply and power generation.
\nLow-flow statistics for eight selected U.S. Geological Survey streamgages in New York State were calculated for the period from 1976 through 2006 and for the entire period of continuous streamflow record. The 7-day, 2-year and 10-year low flows were computed and compared with those low flows published in the1979 U.S. Geological Survey report, Low-flow frequency analysis of streams in New York, Bulletin 74. Observed changes in low-flow frequency at each gage were then examined and compared to changes in precipitation and land use to determine whether a relation between similar patterns could be identified.
\nA statewide U.S. Geological Survey study has not been done to develop equations for estimating low flows on rural unregulated streams in New York. Currently (2010) only one regional study developed for parts of the lower Hudson River Basin in 1986 is available to assist in estimating low flows on rural streams with unregulated streamflow in New York. Low-flow statistics published in the 1979 report need to be updated by using additional data collected since 1976 to determine current low-flow conditions across New York State.
\nAt-site low-flow statistics were updated for eight streamgages in New York by using continuous daily streamflow data through 2006 for the future development of a statewide research study. Selection of the eight streamgages used in this study identified a major deficiency in the number of available unregulated long-term U.S. Geological Survey streamgages needed for the development of regional low-flow equations in New York. A limited analysis of the changes in land use for the contributing drainage areas for each streamgage, changes in precipitation, and trends in the annual 7-day minimum flow also are presented. The 7-day, 2-year low flow showed increases of 14 to 35 percent and the 7-day 10-year low flow showed zero to 19 percent increases at rural streamgages with unregulated streamflows when statistics were computed by using data from 1976 through 2006 and compared with published data in Bulletin 74. When the entire period of record was used to compute low flow frequencies, the 7-day, 2-year low flows increased from about 6 to 15 percent whereas the 7-day 10-year low flows showed zero to 5 percent increases. Streamgages affected by urbanization and regulation for water supply showed the most significant changes in the 7-day, 2-year and 10-year low-flow frequencies. These streamgages are included to help identify the effects of urbanization and regulation on streamflow at these locations. The 7-day 10-year low flow increased by 65 percent at the U.S. Geological Survey streamgage Hackensack River at West Nyack, N.Y., and increased 120 percent at the U.S. Geological Survey streamgage Neversink River at Godeffroy, N.Y., when statistics were computed by using data from 1976 through 2006 and compared with the statistics for the regulated period computed in Bulletin 74.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115112","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Suro, T.P., and Gazoorian, C.L., 2011, Changes in low-flow frequency from 1976-2006 at selected streamgages in New York, excluding Long Island: U.S. Geological Survey Scientific Investigations Report 2011-5112, vi, 21 p., https://doi.org/10.3133/sir20115112.","productDescription":"vi, 21 p.","onlineOnly":"Y","temporalStart":"1976-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":116367,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5112.gif"},{"id":115677,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5112/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81,40 ], [ -81,45 ], [ -72,45 ], [ -72,40 ], [ -81,40 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f41be4b0c8380cd4bb43","contributors":{"authors":[{"text":"Suro, Thomas P. 0000-0002-9476-6829 tsuro@usgs.gov","orcid":"https://orcid.org/0000-0002-9476-6829","contributorId":2841,"corporation":false,"usgs":true,"family":"Suro","given":"Thomas","email":"tsuro@usgs.gov","middleInitial":"P.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gazoorian, Christopher L. 0000-0002-5408-6212 cgazoori@usgs.gov","orcid":"https://orcid.org/0000-0002-5408-6212","contributorId":2929,"corporation":false,"usgs":true,"family":"Gazoorian","given":"Christopher","email":"cgazoori@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356022,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70005838,"text":"70005838 - 2011 - Use of airborne hyperspectral imagery to map soil parameters in tilled agricultural fields","interactions":[],"lastModifiedDate":"2012-02-02T00:16:02","indexId":"70005838","displayToPublicDate":"2012-01-22T16:11:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":851,"text":"Applied and Environmental Soil Science","active":true,"publicationSubtype":{"id":10}},"title":"Use of airborne hyperspectral imagery to map soil parameters in tilled agricultural fields","docAbstract":"Soil hyperspectral reflectance imagery was obtained for six tilled (soil) agricultural fields using an airborne imaging spectrometer (400–2450 nm, ~10 nm resolution, 2.5 m spatial resolution). Surface soil samples (n = 315) were analyzed for carbon content, particle size distribution, and 15 agronomically important elements (Mehlich-III extraction). When partial least squares (PLS) regression of imagery-derived reflectance spectra was used to predict analyte concentrations, 13 of the 19 analytes were predicted with R2 > 0.50, including carbon (0.65), aluminum (0.76), iron (0.75), and silt content (0.79). Comparison of 15 spectral math preprocessing treatments showed that a simple first derivative worked well for nearly all analytes. The resulting PLS factors were exported as a vector of coefficients and used to calculate predicted maps of soil properties for each field. Image smoothing with a 3 × 3 low-pass filter prior to spectral data extraction improved prediction accuracy. The resulting raster maps showed variation associated with topographic factors, indicating the effect of soil redistribution and moisture regime on in-field spatial variability. High-resolution maps of soil analyte concentrations can be used to improve precision environmental management of farmlands.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied and Environmental Soil Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Hindawi Publishing Corporation","publisherLocation":"Cairo, Egypt","doi":"10.1155/2011/358193","usgsCitation":"Hively, W., McCarty, G.W., Reeves, J.B., Lang, M., Oesterling, R.A., and Delwiche, S.R., 2011, Use of airborne hyperspectral imagery to map soil parameters in tilled agricultural fields: Applied and Environmental Soil Science, v. 2011, no. 358193, 13 p., https://doi.org/10.1155/2011/358193.","productDescription":"13 p.","numberOfPages":"13","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":474777,"rank":101,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1155/2011/358193","text":"Publisher Index Page"},{"id":204685,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":115749,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1155/2011/358193","linkFileType":{"id":5,"text":"html"}}],"volume":"2011","issue":"358193","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbeaee4b08c986b32970e","contributors":{"authors":[{"text":"Hively, W. Dean 0000-0002-5383-8064","orcid":"https://orcid.org/0000-0002-5383-8064","contributorId":9391,"corporation":false,"usgs":true,"family":"Hively","given":"W. Dean","affiliations":[],"preferred":false,"id":353347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCarty, Gregory W.","contributorId":78861,"corporation":false,"usgs":true,"family":"McCarty","given":"Gregory","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":353352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reeves, James B. III","contributorId":40693,"corporation":false,"usgs":true,"family":"Reeves","given":"James","suffix":"III","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":353349,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lang, Megan W.","contributorId":58014,"corporation":false,"usgs":true,"family":"Lang","given":"Megan W.","affiliations":[],"preferred":false,"id":353350,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oesterling, Robert A.","contributorId":25703,"corporation":false,"usgs":true,"family":"Oesterling","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":353348,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Delwiche, Stephen R.","contributorId":68036,"corporation":false,"usgs":true,"family":"Delwiche","given":"Stephen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":353351,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70005507,"text":"70005507 - 2011 - Use of upscaled elevation and surface roughness data in two-dimensional surface water models","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"70005507","displayToPublicDate":"2012-01-22T15:41:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"Use of upscaled elevation and surface roughness data in two-dimensional surface water models","docAbstract":"In this paper, we present an approach that uses a combination of cell-block- and cell-face-averaging of high-resolution cell elevation and roughness data to upscale hydraulic parameters and accurately simulate surface water flow in relatively low-resolution numerical models. The method developed allows channelized features that preferentially connect large-scale grid cells at cell interfaces to be represented in models where these features are significantly smaller than the selected grid size. The developed upscaling approach has been implemented in a two-dimensional finite difference model that solves a diffusive wave approximation of the depth-integrated shallow surface water equations using preconditioned Newton–Krylov methods. Computational results are presented to show the effectiveness of the mixed cell-block and cell-face averaging upscaling approach in maintaining model accuracy, reducing model run-times, and how decreased grid resolution affects errors. Application examples demonstrate that sub-grid roughness coefficient variations have a larger effect on simulated error than sub-grid elevation variations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Advances in Water Resources","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, The Netherlands","doi":"10.1016/j.advwatres.2011.02.004","usgsCitation":"Hughes, J., Decker, J., and Langevin, C., 2011, Use of upscaled elevation and surface roughness data in two-dimensional surface water models: Advances in Water Resources, v. 34, no. 9, p. 1151-1164, https://doi.org/10.1016/j.advwatres.2011.02.004.","productDescription":"14 p.","startPage":"1151","endPage":"1164","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":204682,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":115748,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.advwatres.2011.02.004","linkFileType":{"id":5,"text":"html"}}],"volume":"34","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbfabe4b08c986b329cce","contributors":{"authors":[{"text":"Hughes, J.D.","contributorId":25539,"corporation":false,"usgs":true,"family":"Hughes","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":352679,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Decker, J.D.","contributorId":66418,"corporation":false,"usgs":true,"family":"Decker","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":352681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langevin, C.D.","contributorId":25976,"corporation":false,"usgs":true,"family":"Langevin","given":"C.D.","email":"","affiliations":[],"preferred":false,"id":352680,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70007134,"text":"sir20115203 - 2011 - Improvement in precipitation-runoff model simulations by recalibration with basin-specific data, and subsequent model applications, Onondaga Lake Basin, Onondaga County, New York","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"sir20115203","displayToPublicDate":"2012-01-18T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5203","title":"Improvement in precipitation-runoff model simulations by recalibration with basin-specific data, and subsequent model applications, Onondaga Lake Basin, Onondaga County, New York","docAbstract":"Water-resource managers in Onondaga County, New York, are faced with the challenge of improving the water quality of Onondaga Lake, which has the distinction of being one of the most contaminated lakes in the United States. To assist in this endeavor, during 2003-07 the U.S. Geological Survey (USGS), in cooperation with the Onondaga Lake Partnership, developed a precipitation-runoff model of the 285-square-mile Onondaga Lake Basin with the computer program Hydrological Simulation Program-Fortran (HSPF). The model was intended to provide a tool whereby the processes responsible for the generation of loads of sediment and nutrients that are transported to Onondaga Lake could be better understood. This objective was only partly attained because data for calibration of the model were available from monitoring sites only at or near the mouths of the major tributaries to Onondaga Lake; no calibration data from headwater subbasins, where the loads originated, were available. To address this limitation and thereby decrease the uncertainty in the simulated results that were associated with headwater processes, the USGS conducted a 3-year (2005-08) basinwide study to assess the quality of surface water in the Onondaga Lake Basin. The study quantified the relative contributions of nonpoint sources associated with the major land uses and land covers in the basin and also monitored known sources and presumed sinks of sediment and nutrient loads, which previously had not been evaluated. The use of the newly acquired data to recalibrate the HSPF model resulted in improvements in the simulation of processes in the headwater subbasins, including suspended-sediment, orthophosphate, and phosphorus generation and transport.\nSimulation of streamflows in small subbasins was improved by adjusting model parameter values to match base flows, storm peaks, and storm recessions more precisely than had been done with the original model. Simulated recessional and low flows were either increased or decreased as appropriate for a given stream, and simulated peak flows generally were lowered in the revised model. The use of suspended-sediment concentrations rather than concentrations of the surrogate constituent, total suspended solids, resulted in increases in the simulated low-flow sediment concentrations and, in most cases, decreases in the simulated peak-flow sediment concentrations. Simulated orthophosphate concentrations in base flows generally increased but decreased for peak flows in selected headwater subbasins in the revised model. Compared with the original model, phosphorus concentrations simulated by the revised model were comparable in forested subbasins, generally decreased in developed and wetland-dominated subbasins, and increased in agricultural subbasins. A final revision to the model was made by the addition of the simulation of chloride (salt) concentrations in the Onondaga Creek Basin to help water-resource managers better understand the relative contributions of salt from multiple sources in this particular tributary. The calibrated revised model was used to (1) compute loading rates for the various land types that were simulated in the model, (2) conduct a watershed-management analysis that estimated the portion of the total load that was likely to be transported to Onondaga Lake from each of the modeled subbasins, (3) compute and assess chloride loads to Onondaga Lake from the Onondaga Creek Basin, and (4) simulate precolonization (forested) conditions in the basin to estimate the probable minimum phosphorus loads to the lake.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115203","collaboration":"Prepared in cooperation with the Onondaga Lake Partnership","usgsCitation":"Coon, W.F., 2011, Improvement in precipitation-runoff model simulations by recalibration with basin-specific data, and subsequent model applications, Onondaga Lake Basin, Onondaga County, New York: U.S. Geological Survey Scientific Investigations Report 2011-5203, x, 37 p., https://doi.org/10.3133/sir20115203.","productDescription":"x, 37 p.","onlineOnly":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":116441,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5203.gif"},{"id":112501,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5203/","linkFileType":{"id":5,"text":"html"}}],"state":"New York","county":"Onondaga","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.5,42.7 ], [ -76.5,43.166666666666664 ], [ -75.96666666666667,43.166666666666664 ], [ -75.96666666666667,42.7 ], [ -76.5,42.7 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3969e4b0c8380cd618f8","contributors":{"authors":[{"text":"Coon, William F. 0000-0002-7007-7797 wcoon@usgs.gov","orcid":"https://orcid.org/0000-0002-7007-7797","contributorId":1765,"corporation":false,"usgs":true,"family":"Coon","given":"William","email":"wcoon@usgs.gov","middleInitial":"F.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355918,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70006356,"text":"70006356 - 2011 - Twitter earthquake detection: Earthquake monitoring in a social world","interactions":[],"lastModifiedDate":"2012-02-02T00:16:01","indexId":"70006356","displayToPublicDate":"2012-01-17T10:09:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":793,"text":"Annals of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Twitter earthquake detection: Earthquake monitoring in a social world","docAbstract":"The U.S. Geological Survey (USGS) is investigating how the social networking site Twitter, a popular service for sending and receiving short, public text messages, can augment USGS earthquake response products and the delivery of hazard information. Rapid detection and qualitative assessment of shaking events are possible because people begin sending public Twitter messages (tweets) with in tens of seconds after feeling shaking. Here we present and evaluate an earthquake detection procedure that relies solely on Twitter data. A tweet-frequency time series constructed from tweets containing the word \"earthquake\" clearly shows large peaks correlated with the origin times of widely felt events. To identify possible earthquakes, we use a short-term-average, long-term-average algorithm. When tuned to a moderate sensitivity, the detector finds 48 globally-distributed earthquakes with only two false triggers in five months of data. The number of detections is small compared to the 5,175 earthquakes in the USGS global earthquake catalog for the same five-month time period, and no accurate location or magnitude can be assigned based on tweet data alone. However, Twitter earthquake detections are not without merit. The detections are generally caused by widely felt events that are of more immediate interest than those with no human impact. The detections are also fast; about 75% occur within two minutes of the origin time. This is considerably faster than seismographic detections in poorly instrumented regions of the world. The tweets triggering the detections also provided very short first-impression narratives from people who experienced the shaking.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Annals of Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Istituto Nazionale di Geofisica e Vulcanologia","publisherLocation":"Rome, Italy","doi":"10.4401/ag-5364","usgsCitation":"Earle, P.S., Bowden, D.C., and Guy, M., 2011, Twitter earthquake detection: Earthquake monitoring in a social world: Annals of Geophysics, v. 54, no. 6, p. 708-715, https://doi.org/10.4401/ag-5364.","productDescription":"8 p.","startPage":"708","endPage":"715","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":474780,"rank":101,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4401/ag-5364","text":"Publisher Index Page"},{"id":204580,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":115694,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.4401/ag-5364","linkFileType":{"id":5,"text":"html"}}],"volume":"54","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-01-14","publicationStatus":"PW","scienceBaseUri":"505bb947e4b08c986b327ba5","contributors":{"authors":[{"text":"Earle, Paul S. pearle@usgs.gov","contributorId":840,"corporation":false,"usgs":true,"family":"Earle","given":"Paul","email":"pearle@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":354370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bowden, Daniel C.","contributorId":70918,"corporation":false,"usgs":true,"family":"Bowden","given":"Daniel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":354372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guy, Michelle R. mguy@usgs.gov","contributorId":4235,"corporation":false,"usgs":true,"family":"Guy","given":"Michelle R.","email":"mguy@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":354371,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70006021,"text":"70006021 - 2011 - Tumor prevalence and biomarkers of genotoxicity in brown bullhead (Ameiurus nebulosus) in Chesapeake Bay tributaries","interactions":[],"lastModifiedDate":"2021-04-01T20:26:34.170909","indexId":"70006021","displayToPublicDate":"2012-01-17T09:46:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Tumor prevalence and biomarkers of genotoxicity in brown bullhead (Ameiurus nebulosus) in Chesapeake Bay tributaries","title":"Tumor prevalence and biomarkers of genotoxicity in brown bullhead (Ameiurus nebulosus) in Chesapeake Bay tributaries","docAbstract":"We surveyed four Chesapeake Bay tributaries for skin and liver tumors in brown bullhead (Ameiurus nebulosus). We focused on the South River, where the highest skin tumor prevalence (53%) in the Bay watershed had been reported. The objectives were to 1) compare tumor prevalence with nearby rivers (Severn and Rhode) and a more remote river (Choptank); 2) investigate associations between tumor prevalence and polynuclear aromatic hydrocarbons (PAHs) and alkylating agents; and 3) statistically analyze Chesapeake Bay bullhead tumor data from 1992 through 2008. All four South River collections exhibited high skin tumor prevalence (19% to 58%), whereas skin tumor prevalence was 2%, 10%, and 52% in the three Severn collections; 0% and 2% in the Choptank collections; and 5.6% in the Rhode collection. Liver tumor prevalence was 0% to 6% in all but one South River collection (20%) and 0% to 6% in the three other rivers. In a subset of samples, PAH-like biliary metabolites and 32P-DNA adducts were used as biomarkers of exposure and response to polycyclic aromatic compounds (PACs). Adducts from alkylating agents were detected as O6-methyl-2′-deoxyguanosine (O6Me-dG) and O6-ethyl-2′-deoxyguanosine (O6Et-dG) modified DNA. Bullheads from the contaminated Anacostia River were used as a positive control for DNA adducts. 32P-DNA adduct concentrations were significantly higher in Anacostia bullhead livers compared with the other rivers. We identified alkyl DNA adducts in bullhead livers from the South and Anacostia, but not the Choptank. Neither the PAH-like bile metabolite data, sediment PAH data, nor the DNA adduct data suggest an association between liver or skin tumor prevalence and exposure to PACs or alkylating agents in the South, Choptank, Severn, or Rhode rivers. Logistic regression analysis of the Chesapeake Bay database revealed that sex and length were significant covariates for liver tumors and length was a significant covariate for skin tumors.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2011.09.035","usgsCitation":"Pinkney, A.E., Harshbarger, J., Karouna-Renier, N., Jenko, K., Balk, L., Skarphedinsdottir, H., Liewenborg, B., and Rutter, M.A., 2011, Tumor prevalence and biomarkers of genotoxicity in brown bullhead (Ameiurus nebulosus) in Chesapeake Bay tributaries: Science of the Total Environment, v. 410-411, p. 248-257, https://doi.org/10.1016/j.scitotenv.2011.09.035.","productDescription":"10 p.","startPage":"248","endPage":"257","temporalStart":"1992-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":204578,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay watershed, South River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.2333984375,\n 36.914764288955936\n ],\n [\n -75.1025390625,\n 36.914764288955936\n ],\n [\n -75.1025390625,\n 39.926588421909436\n ],\n [\n -79.2333984375,\n 39.926588421909436\n ],\n [\n -79.2333984375,\n 36.914764288955936\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"410-411","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb8bfe4b08c986b327a46","contributors":{"authors":[{"text":"Pinkney, Alfred E.","contributorId":14253,"corporation":false,"usgs":false,"family":"Pinkney","given":"Alfred","email":"","middleInitial":"E.","affiliations":[{"id":12750,"text":"U.S. Fish and Wildlife Service, Annapolis, MD","active":true,"usgs":false}],"preferred":false,"id":353687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harshbarger, John C.","contributorId":85928,"corporation":false,"usgs":true,"family":"Harshbarger","given":"John C.","affiliations":[],"preferred":false,"id":353691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karouna-Renier, Natalie K. 0000-0001-7127-033X","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":17357,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie K.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":353688,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenko, Kathryn","contributorId":6720,"corporation":false,"usgs":true,"family":"Jenko","given":"Kathryn","email":"","affiliations":[],"preferred":false,"id":353685,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Balk, Lennart","contributorId":38844,"corporation":false,"usgs":true,"family":"Balk","given":"Lennart","affiliations":[],"preferred":false,"id":353689,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Skarphedinsdottir, Halldora","contributorId":52832,"corporation":false,"usgs":true,"family":"Skarphedinsdottir","given":"Halldora","email":"","affiliations":[],"preferred":false,"id":353690,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liewenborg, Birgitta","contributorId":101940,"corporation":false,"usgs":true,"family":"Liewenborg","given":"Birgitta","email":"","affiliations":[],"preferred":false,"id":353692,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rutter, Michael A.","contributorId":13938,"corporation":false,"usgs":true,"family":"Rutter","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":353686,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70003443,"text":"70003443 - 2011 - Trophic relationships between a native and a nonnative predator in a system of natural lakes","interactions":[],"lastModifiedDate":"2021-02-12T22:13:36.826869","indexId":"70003443","displayToPublicDate":"2012-01-17T08:30:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Trophic relationships between a native and a nonnative predator in a system of natural lakes","docAbstract":"Bull trout, a species of char listed as threatened under the US Endangered Species Act, have been displaced from portions of their historic range following the introduction of nonnative lake trout. It has been suggested that competitive exclusion as a result of trophic overlap between bull trout and lake trout may be the causal mechanism associated with displacement of bull trout. This study used stable isotope data to evaluate trophic relationships among native bull trout, nonnative lake trout and other fishes in seven lakes in Glacier National Park (GNP), Montana. Bull trout and lake trout had greater δ15N values relative to other fishes among lakes (δ15N ≥ 3.0‰). Lake trout had greater δ15N values relative to bull trout (δ15N = +1.0‰). Bull trout had greater δ13C values relative to lake trout in six of the seven lakes examined. Although both bull trout and lake trout had greater δ15N values relative to other fishes within lakes in GNP, differences in δ15N and δ13C between bull trout and lake trout suggest that they are consuming different prey species or similar prey species in different proportions. Therefore, displacement of bull trout as a direct result of complete overlap in food resource use is not anticipated unless diet shifts occur or food resources become limiting. Additionally, future studies should evaluate food habits to identify important prey species and sources of partial dietary overlap between bull trout and lake trout.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1600-0633.2011.00498.x","usgsCitation":"Meeuwig, M., Guy, C.S., and Fedenberg, W.A., 2011, Trophic relationships between a native and a nonnative predator in a system of natural lakes: Ecology of Freshwater Fish, v. 20, no. 2, p. 315-325, https://doi.org/10.1111/j.1600-0633.2011.00498.x.","productDescription":"11 p.","startPage":"315","endPage":"325","costCenters":[{"id":398,"text":"Montana Cooperative Fishery Research Unit","active":false,"usgs":true}],"links":[{"id":204619,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.95819091796876,\n 47.56355410390806\n ],\n [\n -112.532958984375,\n 47.56355410390806\n ],\n [\n -112.532958984375,\n 48.99824008113872\n ],\n [\n -114.95819091796876,\n 48.99824008113872\n ],\n [\n -114.95819091796876,\n 47.56355410390806\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-03-28","publicationStatus":"PW","scienceBaseUri":"505bb888e4b08c986b3278ee","contributors":{"authors":[{"text":"Meeuwig, Michael H.","contributorId":60761,"corporation":false,"usgs":true,"family":"Meeuwig","given":"Michael H.","affiliations":[],"preferred":false,"id":347304,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":347302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fedenberg, Wade A.","contributorId":14571,"corporation":false,"usgs":true,"family":"Fedenberg","given":"Wade","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":347303,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70006118,"text":"70006118 - 2011 - Trematode communities in snails can indicate impact and recovery from hurricanes in a tropical coastal lagoon","interactions":[],"lastModifiedDate":"2012-02-02T00:16:00","indexId":"70006118","displayToPublicDate":"2012-01-15T15:19:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2024,"text":"International Journal for Parasitology","active":true,"publicationSubtype":{"id":10}},"title":"Trematode communities in snails can indicate impact and recovery from hurricanes in a tropical coastal lagoon","docAbstract":"In September 2002, Hurricane Isidore devastated the Yucatán Peninsula, Mexico. To understand its effects on the parasites of aquatic organisms, we analyzed long-term monthly population data of the horn snail Cerithidea pliculosa and its trematode communities in Celestún, Yucatán, Mexico before and after the hurricane (February 2001 to December 2009). Five trematode species occurred in the snail population: Mesostephanus appendiculatoides, Euhaplorchis californiensis, two species of the genus Renicola and one Heterophyidae gen. sp. Because these parasites use snails as first intermediate hosts, fishes as second intermediate hosts and birds as final hosts, their presence in snails depends on food webs. No snails were present at the sampled sites for 6 months after the hurricane. After snails recolonised the site, no trematodes were found in snails until 14 months after the hurricane. It took several years for snail and trematode populations to recover. Our results suggest that the increase in the occurrence of hurricanes predicted due to climate change can impact upon parasites with complex life cycles. However, both the snail populations and their parasite communities eventually reached numbers of individuals and species similar to those before the hurricane. Thus, the trematode parasites of snails can be useful indicators of coastal lagoon ecosystem degradation and recovery.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal for Parasitology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.ijpara.2011.10.002","usgsCitation":"Aguirre-Macedo, M.L., Vidal-Martinez, V., and Lafferty, K.D., 2011, Trematode communities in snails can indicate impact and recovery from hurricanes in a tropical coastal lagoon: International Journal for Parasitology, v. 41, no. 13-14, p. 1403-1408, https://doi.org/10.1016/j.ijpara.2011.10.002.","productDescription":"6 p.","startPage":"1403","endPage":"1408","numberOfPages":"6","temporalStart":"2001-02-01","temporalEnd":"2009-12-31","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":204703,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":115688,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.ijpara.2011.10.002","linkFileType":{"id":5,"text":"html"}}],"country":"Mexico","volume":"41","issue":"13-14","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bb7ace4b08c986b327402","contributors":{"authors":[{"text":"Aguirre-Macedo, Maria Leopoldina","contributorId":21424,"corporation":false,"usgs":true,"family":"Aguirre-Macedo","given":"Maria","email":"","middleInitial":"Leopoldina","affiliations":[],"preferred":false,"id":353873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vidal-Martinez, Victor M.","contributorId":106382,"corporation":false,"usgs":true,"family":"Vidal-Martinez","given":"Victor M.","affiliations":[],"preferred":false,"id":353874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":353872,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70007139,"text":"70007139 - 2011 - Non-genetic data supporting genetic evidence for the eastern wolf","interactions":[],"lastModifiedDate":"2018-01-04T11:20:58","indexId":"70007139","displayToPublicDate":"2012-01-12T16:12:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Non-genetic data supporting genetic evidence for the eastern wolf","docAbstract":"Two schools of thought dominate the molecular-genetics literature on Canis spp. (wolves) in the western Great Lakes region of the US and Canada: (1) they are hybrids between Canis lupus (Gray Wolf) and Canis latrans (Coyote), or (2) they are hybrids between the Gray Wolf and Canis lycaon (Eastern Wolf). This article presents 3 types of non-genetic evidence that bears on the controversy and concludes that all 3 support the second interpretation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Northeastern Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Humboldt Field Research Institute","publisherLocation":"Steuben, ME","doi":"10.1656/045.018.0409","usgsCitation":"Mech, L.D., 2011, Non-genetic data supporting genetic evidence for the eastern wolf: Northeastern Naturalist, v. 18, no. 4, p. 521-526, https://doi.org/10.1656/045.018.0409.","productDescription":"6 p.","startPage":"521","endPage":"526","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":204630,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":115670,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1656/045.018.0409","linkFileType":{"id":5,"text":"html"}}],"country":"United States;Canada","otherGeospatial":"Great Lakes Region","volume":"18","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6746e4b0c8380cd73259","contributors":{"authors":[{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":355919,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70007119,"text":"sir20115196 - 2011 - Potential water-quality effects of coal-bed methane production water discharged along the upper Tongue River, Wyoming and Montana","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"sir20115196","displayToPublicDate":"2012-01-12T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5196","title":"Potential water-quality effects of coal-bed methane production water discharged along the upper Tongue River, Wyoming and Montana","docAbstract":"Water quality in the upper Tongue River from Monarch, Wyoming, downstream to just upstream from the Tongue River Reservoir in Montana potentially could be affected by discharge of coal-bed methane (CBM) production water (hereinafter referred to as CBM discharge). CBM discharge typically contains high concentrations of sodium and other ions that could increase dissolved-solids (salt) concentrations, specific conductance (SC), and sodium-adsorption ratio (SAR) in the river. Increased inputs of sodium and other ions have the potential to alter the river's suitability for agricultural irrigation and aquatic ecosystems. Data from two large tributaries, Goose Creek and Prairie Dog Creek, indicate that these tributaries were large contributors to the increase in SC and SAR in the Tongue River. However, water-quality data were not available for most of the smaller inflows, such as small tributaries, irrigation-return flows, and CBM discharges. Thus, effects of these inflows on the water quality of the Tongue River were not well documented. Effects of these small inflows might be subtle and difficult to determine without more extensive data collection to describe spatial patterns. Therefore, synoptic water-quality sampling trips were conducted in September 2005 and April 2006 to provide a spatially detailed profile of the downstream changes in water quality in this reach of the Tongue River. The purpose of this report is to describe these downstream changes in water quality and to estimate the potential water-quality effects of CBM discharge in the upper Tongue River.
\n\nSpecific conductance of the Tongue River through the study reach increased from 420 to 625 microsiemens per centimeter (.μS/cm; or 49 percent) in the downstream direction in September 2005 and from 373 to 543 .μS/cm (46 percent) in April 2006. Large increases (12 to 24 percent) were measured immediately downstream from Goose Creek and Prairie Dog Creek during both sampling trips. Increases attributed to direct CBM discharges were smaller. In September 2005, the SC of 12 measured CBM discharges ranged from 1,750 to 2,440 .μS/cm, and the combined discharges increased SC in the river by an estimated 4.5 percent. In April 2006, the SC of eight measured CBM discharges ranged from 1,720 to 2,070 μS/cm; the largest of these discharges likely increased SC in the river by 5.8 percent.
\n\nEstimates of potential effects of the CBM discharges on the SC of the Tongue River near the Tongue River Reservoir were calculated using a two-step process involving linear regression and mass-balance calculations for a range of streamflow and CBM-discharge conditions. Potential effects from CBM discharges are larger increases of SC and SAR at lower flows than at higher flows and relative increases that are substantially smaller for SC than for SAR. For example, if the streamflow was 100 cubic feet per second (ft3/s) in the Tongue River near the Tongue River Reservoir and CBM discharge ranged from 1,250 to 5,000 gallons per minute, the projected increases would range from 4.4 to 16 percent for SC and from 39 to 151 percent for SAR. In comparison, if the streamflow was 600 ft3/s, the projected increases would range from 2.2 to 8.4 percent for SC and from 21 to 79 percent for SAR. This analysis of potential water-quality effects on the SC and SAR of the Tongue River in the study area assumes that the quantity and quality of water flowing into the study reach at the time of this study was the same as during the period before CBM development (data from water years 1985-99).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115196","usgsCitation":"Kinsey, S., and Nimick, D.A., 2011, Potential water-quality effects of coal-bed methane production water discharged along the upper Tongue River, Wyoming and Montana: U.S. Geological Survey Scientific Investigations Report 2011-5196, vi, 28 p., https://doi.org/10.3133/sir20115196.","productDescription":"vi, 28 p.","costCenters":[{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":116432,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5196.png"},{"id":112460,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5196/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wyoming;Montana","otherGeospatial":"Upper Tongue River","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7f6be4b0c8380cd7ab08","contributors":{"authors":[{"text":"Kinsey, Stacy M. skinsey@usgs.gov","contributorId":1136,"corporation":false,"usgs":true,"family":"Kinsey","given":"Stacy M.","email":"skinsey@usgs.gov","affiliations":[],"preferred":true,"id":355864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nimick, David A. dnimick@usgs.gov","contributorId":421,"corporation":false,"usgs":true,"family":"Nimick","given":"David","email":"dnimick@usgs.gov","middleInitial":"A.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true}],"preferred":true,"id":355863,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70007106,"text":"ofr20111304 - 2011 - Airborne electromagnetic and magnetic geophysical survey data of the Yukon Flats and Fort Wainwright areas, central Alaska, June 2010","interactions":[],"lastModifiedDate":"2012-02-10T00:12:00","indexId":"ofr20111304","displayToPublicDate":"2012-01-10T00:00:00","publicationYear":"2011","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":"2011-1304","title":"Airborne electromagnetic and magnetic geophysical survey data of the Yukon Flats and Fort Wainwright areas, central Alaska, June 2010","docAbstract":"In June 2010, the U.S. Geological Survey conducted airborne electromagnetic and magnetic surveys of the Yukon Flats and Fort Wainwright study areas in central Alaska. These data were collected to estimate the three-dimensional distribution of permafrost at the time of the survey. These data were also collected to evaluate the effectiveness of these geophysical methods at mapping permafrost geometry and to better define the physical properties of the subsurface in discontinuous permafrost areas. This report releases digital data associated with these surveys. Inverted resistivity depth sections are also provided in this data release, and data processing and inversion methods are discussed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111304","collaboration":"Prepared in cooperation with Fugro Airborne Surveys, Limited, and the U.S. Army Cold Regions Research and Engineering Laboratory","usgsCitation":"Ball, L.B., Smith, B.D., Minsley, B.J., Abraham, J., Voss, C.I., Astley, B.N., Deszcz-Pan, M., and Cannia, J.C., 2011, Airborne electromagnetic and magnetic geophysical survey data of the Yukon Flats and Fort Wainwright areas, central Alaska, June 2010: U.S. Geological Survey Open-File Report 2011-1304, vi, 21 p.; Appendix 1; Appendix 2; Appendix 3; Downloads Directory, https://doi.org/10.3133/ofr20111304.","productDescription":"vi, 21 p.; Appendix 1; Appendix 2; Appendix 3; Downloads Directory","additionalOnlineFiles":"Y","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":116767,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1304.gif"},{"id":112457,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1304/","linkFileType":{"id":5,"text":"html"}}],"state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -149,65.5 ], [ -149,68 ], [ -143,68 ], [ -143,65.5 ], [ -149,65.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e91ee4b0c8380cd480e8","contributors":{"authors":[{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":355829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Bruce D. 0000-0002-1643-2997 bsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-1643-2997","contributorId":845,"corporation":false,"usgs":true,"family":"Smith","given":"Bruce","email":"bsmith@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":355828,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":355827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abraham, Jared D.","contributorId":42630,"corporation":false,"usgs":true,"family":"Abraham","given":"Jared D.","affiliations":[],"preferred":false,"id":355833,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":355831,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Astley, Beth N.","contributorId":26424,"corporation":false,"usgs":true,"family":"Astley","given":"Beth","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":355832,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Deszcz-Pan, Maria 0000-0002-6298-5314 maryla@usgs.gov","orcid":"https://orcid.org/0000-0002-6298-5314","contributorId":1263,"corporation":false,"usgs":true,"family":"Deszcz-Pan","given":"Maria","email":"maryla@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":355830,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cannia, James C.","contributorId":94356,"corporation":false,"usgs":true,"family":"Cannia","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":355834,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70007093,"text":"sir20115226 - 2011 - Effects of brush management on the hydrologic budget and water quality in and adjacent to Honey Creek State Natural Area, Comal County, Texas, 2001-10","interactions":[],"lastModifiedDate":"2016-08-11T15:15:12","indexId":"sir20115226","displayToPublicDate":"2012-01-09T08:46:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5226","title":"Effects of brush management on the hydrologic budget and water quality in and adjacent to Honey Creek State Natural Area, Comal County, Texas, 2001-10","docAbstract":"The U.S. Geological Survey, in cooperation with the U.S. Department of Agriculture Natural Resources Conservation Service, the Edwards Region Grazing Lands Conservation Initiative, the Texas State Soil and Water Conservation Board, the San Antonio River Authority, the Edwards Aquifer Authority, Texas Parks and Wildlife, the Guadalupe Blanco River Authority, and the San Antonio Water System, evaluated the hydrologic effects of ashe juniper (Juniperus ashei) removal as a brush management conservation practice in and adjacent to the Honey Creek State Natural Area in Comal County, Tex. By removing the ashe juniper and allowing native grasses to reestablish in the area as a brush management conservation practice, the hydrology in the watershed might change. Using a simplified mass balance approach of the hydrologic cycle, the incoming rainfall was distributed to surface water runoff, evapotranspiration, or groundwater recharge. After hydrologic data were collected in adjacent watersheds for 3 years, brush management occurred on the treatment watershed while the reference watershed was left in its original condition. Hydrologic data were collected for another 6 years. Hydrologic data include rainfall, streamflow, evapotranspiration, and water quality. Groundwater recharge was not directly measured but potential groundwater recharge was calculated using a simplified mass balance approach. The resulting hydrologic datasets were examined for differences between the watersheds and between pre- and post-treatment periods to assess the effects of brush management. The streamflow to rainfall relation (expressed as event unit runoff to event rainfall relation) did not change between the watersheds during pre- and post-treatment periods. The daily evapotranspiration rates at the reference watershed and treatment watershed sites exhibited a seasonal cycle during the pre- and post-treatment periods, with intra- and interannual variability. Statistical analyses indicate the mean difference in daily evapotranspiration rates between the two watershed sites is greater during the post-treatment than the pre-treatment period. Average annual rainfall, streamflow, evapotranspiration, and potential groundwater-recharge conditions were incorporated into a single hydrologic budget (expressed as a percentage of the average annual rainfall) applied to each watershed before and after treatment to evaluate the effects of brush management. During the post-treatment period, the percent average annual unit runoff in the reference watershed was similar to that in the treatment watershed, however, the difference in percentages of average annual evapotranspiration and potential groundwater recharge were more appreciable between the reference and treatment watersheds than during the pre-treatment period. Using graphical comparisons, no notable differences in major ion or nutrient concentrations were found between samples collected at the reference watershed (site 1C) and treatment watershed (site 2C) during pre- and post-treatment periods. Suspended-sediment loads were calculated from samples collected at sites 1C and 2T. The relation between suspended-sediment loads and streamflow calculated from samples collected from sites 1C and 2T did not exhibit a statistically significant difference during the pre-treatment period, whereas during the post-treatment period, relation between suspended-sediment loads and streamflow did exhibit a statistically significant difference. The suspended-sediment load to streamflow relations indicate that for the same streamflow, the suspended-sediment loads calculated from site 2T were generally less than suspended-sediment loads calculated from site 1C during the post-treatment period.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115226","collaboration":"In cooperation with the U.S. Department of Agriculture Natural Resources Conservation Service, the Edwards Region Grazing Lands Conservation Initiative, the Texas State Soil and Water Conservation Board, the San Antonio River Authority, the Edwards Aquifer Authority, Texas Parks and Wildlife, the Guadalupe Blanco River Authority, and the San Antonio Water System","usgsCitation":"Banta, J., and Slattery, R.N., 2011, Effects of brush management on the hydrologic budget and water quality in and adjacent to Honey Creek State Natural Area, Comal County, Texas, 2001-10: U.S. Geological Survey Scientific Investigations Report 2011-5226, viii, 35 p.; Appendices Downloads, https://doi.org/10.3133/sir20115226.","productDescription":"viii, 35 p.; Appendices Downloads","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2001-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":116765,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5226.gif"},{"id":112435,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5226/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","county":"Comal","otherGeospatial":"Honey Creek State Natural Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.96666666666667,29.083333333333332 ], [ -98.96666666666667,30.166666666666668 ], [ -98,30.166666666666668 ], [ -98,29.083333333333332 ], [ -98.96666666666667,29.083333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a069de4b0c8380cd5132c","contributors":{"authors":[{"text":"Banta, J. Ryan 0000-0002-2226-7270","orcid":"https://orcid.org/0000-0002-2226-7270","contributorId":78863,"corporation":false,"usgs":true,"family":"Banta","given":"J. Ryan","affiliations":[],"preferred":false,"id":355804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slattery, Richard N. 0000-0002-9141-9776 rnslatte@usgs.gov","orcid":"https://orcid.org/0000-0002-9141-9776","contributorId":2471,"corporation":false,"usgs":true,"family":"Slattery","given":"Richard","email":"rnslatte@usgs.gov","middleInitial":"N.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355803,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70003882,"text":"70003882 - 2011 - The present and future role of coastal wetland vegetation in protecting shorelines: Answering recent challenges to the paradigm","interactions":[],"lastModifiedDate":"2012-02-02T00:16:00","indexId":"70003882","displayToPublicDate":"2012-01-08T10:42:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"The present and future role of coastal wetland vegetation in protecting shorelines: Answering recent challenges to the paradigm","docAbstract":"For more than a century, coastal wetlands have been recognized for their ability to stabilize shorelines and protect coastal communities. However, this paradigm has recently been called into question by small-scale experimental evidence. Here, we conduct a literature review and a small meta-analysis of wave attenuation data, and we find overwhelming evidence in support of established theory. Our review suggests that mangrove and salt marsh vegetation afford context-dependent protection from erosion, storm surge, and potentially small tsunami waves. In biophysical models, field tests, and natural experiments, the presence of wetlands reduces wave heights, property damage, and human deaths. Meta-analysis of wave attenuation by vegetated and unvegetated wetland sites highlights the critical role of vegetation in attenuating waves. Although we find coastal wetland vegetation to be an effective shoreline buffer, wetlands cannot protect shorelines in all locations or scenarios; indeed large-scale regional erosion, river meandering, and large tsunami waves and storm surges can overwhelm the attenuation effect of vegetation. However, due to a nonlinear relationship between wave attenuation and wetland size, even small wetlands afford substantial protection from waves. Combining man-made structures with wetlands in ways that mimic nature is likely to increase coastal protection. Oyster domes, for example, can be used in combination with natural wetlands to protect shorelines and restore critical fishery habitat. Finally, coastal wetland vegetation modifies shorelines in ways (e.g. peat accretion) that increase shoreline integrity over long timescales and thus provides a lasting coastal adaptation measure that can protect shorelines against accelerated sea level rise and more frequent storm inundation. We conclude that the shoreline protection paradigm still stands, but that gaps remain in our knowledge about the mechanistic and context-dependent aspects of shoreline protection.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Climatic Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s10584-010-0003-7","usgsCitation":"Gedan, K.B., Kirwan, M., Wolanski, E., Barbier, E.B., and Silliman, B.R., 2011, The present and future role of coastal wetland vegetation in protecting shorelines: Answering recent challenges to the paradigm: Climatic Change, v. 106, no. 1, p. 7-29, https://doi.org/10.1007/s10584-010-0003-7.","productDescription":"23 p.","startPage":"7","endPage":"29","numberOfPages":"23","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":204350,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":21747,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1007/s10584-010-0003-7","linkFileType":{"id":5,"text":"html"}},{"id":112471,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://www-public.jcu.edu.au/public/groups/everyone/documents/journal_article/jcuprd1_069922.pdf","linkFileType":{"id":1,"text":"pdf"}}],"volume":"106","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-12-14","publicationStatus":"PW","scienceBaseUri":"505baecde4b08c986b324352","contributors":{"authors":[{"text":"Gedan, Keryn B.","contributorId":78201,"corporation":false,"usgs":true,"family":"Gedan","given":"Keryn","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":349279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirwan, Matthew L. 0000-0002-0658-3038","orcid":"https://orcid.org/0000-0002-0658-3038","contributorId":84060,"corporation":false,"usgs":true,"family":"Kirwan","given":"Matthew L.","affiliations":[],"preferred":false,"id":349281,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolanski, Eric","contributorId":82186,"corporation":false,"usgs":true,"family":"Wolanski","given":"Eric","affiliations":[],"preferred":false,"id":349280,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barbier, Edward B.","contributorId":32041,"corporation":false,"usgs":true,"family":"Barbier","given":"Edward","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":349277,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Silliman, Brian R.","contributorId":53659,"corporation":false,"usgs":true,"family":"Silliman","given":"Brian","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":349278,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70003880,"text":"70003880 - 2011 - Interface between black-footed ferret research and operational conservation","interactions":[],"lastModifiedDate":"2012-02-02T00:15:59","indexId":"70003880","displayToPublicDate":"2012-01-08T09:45:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Interface between black-footed ferret research and operational conservation","docAbstract":"Questions and problems that emerged during operational conservation of black-footed ferrets (Mustela nigripes) have been addressed by a wide variety of studies. Early results from such studies often were communicated orally during meetings of recovery groups and in written form using memoranda, unpublished reports, and theses. Typically, implementation of results preceded their publication in widely distributed journals. Many of these studies eventually were published in journals, and we briefly summarize the contents of 8 volumes and special features of journals that have been dedicated to the biology of ferrets and issues in ferret recovery. This year marks the 30th anniversary of rediscovery of the black-footed ferret, and the 7 papers of the following Special Feature summarize data collected over nearly that span of time.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Mammalogy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The American Society of Mammalogists","publisherLocation":"Lawrence, KS","doi":"10.1644/11-MAMM-S-086.1","usgsCitation":"Biggins, D.E., Livieri, T., and Breck, S.W., 2011, Interface between black-footed ferret research and operational conservation: Journal of Mammalogy, v. 92, no. 4, p. 699-704, https://doi.org/10.1644/11-MAMM-S-086.1.","productDescription":"6 p.","startPage":"699","endPage":"704","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":204376,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":112467,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1644/11-MAMM-S-086.1","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"92","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-08-16","publicationStatus":"PW","scienceBaseUri":"505a3cf7e4b0c8380cd631bc","contributors":{"authors":[{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":349269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Livieri, Travis M.","contributorId":16265,"corporation":false,"usgs":true,"family":"Livieri","given":"Travis M.","affiliations":[],"preferred":false,"id":349270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breck, Stewart W.","contributorId":56927,"corporation":false,"usgs":true,"family":"Breck","given":"Stewart","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":349271,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70098950,"text":"70098950 - 2011 - Hyperspectral remote sensing of vegetation and agricultural crops: Knowledge gain and knowledge gap after 40 years of research","interactions":[],"lastModifiedDate":"2022-12-29T16:20:43.854976","indexId":"70098950","displayToPublicDate":"2012-01-05T13:40:08","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"28","title":"Hyperspectral remote sensing of vegetation and agricultural crops: Knowledge gain and knowledge gap after 40 years of research","docAbstract":"The focus of this chapter was to summarize the advances made over last 40+ years, as reported in various chapters of this book, in understanding, modeling, and mapping terrestrial vegetation using hyperspectral remote sensing (or imaging spectroscopy) using sensors that are ground-based, truck-mounted, airborne, and spaceborne. As we have seen in various chapters of this book and synthesized in this chapter, the advances made include: (a) significantly improved characterization and modeling of a wide array of biophysical and biochemical properties of vegetation, (b) ability to discriminate plant species and vegetation types with high degree of accuracies (c) reducing uncertainties in determining net primary productivity or carbon assessments from terrestrial vegetation, (d) improved crop productivity and water productivity models, (b), (e) ability to access stress resulting from causes such as management practices, pests and disease, water deficit or excess; , and (f) establishing more sensitive wavebands and indices to detect plant water\\moisture content. The advent of spaceborne hyperspectral sensors (e.g., NASA’s Hyperion, ESA’s PROBA, and upcoming NASA’s HyspIRI) and numerous methods and techniques espoused in this book to overcome Hughes phenomenon or data redundancy when handling large volumes of hyperspectral data have generated tremendous interest in advancing our hyperspectral applications knowledge base over larger spatial extent such as region, nation, continent, and globe.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hyperspectral remote sensing of vegetation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","usgsCitation":"Thenkabail, P.S., Lyon, J., and Huete, A., 2011, Hyperspectral remote sensing of vegetation and agricultural crops: Knowledge gain and knowledge gap after 40 years of research, chap. 28 of Hyperspectral remote sensing of vegetation, p. 663-688.","productDescription":"26 p.","startPage":"663","endPage":"688","ipdsId":"IP-026613","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":284325,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd61d7e4b0b290850fdc57","contributors":{"editors":[{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":509822,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Lyon, John G.","contributorId":38044,"corporation":false,"usgs":true,"family":"Lyon","given":"John G.","affiliations":[],"preferred":false,"id":509820,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Huete, Alfredo","contributorId":48337,"corporation":false,"usgs":true,"family":"Huete","given":"Alfredo","affiliations":[],"preferred":false,"id":742734,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":491787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyon, John G.","contributorId":38044,"corporation":false,"usgs":true,"family":"Lyon","given":"John G.","affiliations":[],"preferred":false,"id":491788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huete, Alfredo","contributorId":48337,"corporation":false,"usgs":true,"family":"Huete","given":"Alfredo","affiliations":[],"preferred":false,"id":491789,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70098951,"text":"70098951 - 2011 - Advances in hyperspectral remote sensing of vegetation and agricultural croplands","interactions":[],"lastModifiedDate":"2022-12-29T16:29:37.829469","indexId":"70098951","displayToPublicDate":"2012-01-05T13:32:59","publicationYear":"2011","noYear":false,"publicationType":{"id":4,"text":"Book"},"chapter":"1","title":"Advances in hyperspectral remote sensing of vegetation and agricultural croplands","docAbstract":"Recent advances in hyperspectral remote sensing (or imaging spectroscopy) demonstrate a great utility for a variety of land monitoring applications. It is now possible to be diagnostic in sensing species and plant communities using remotely sensed data and to do so in a direct and informed manner using modern tools and analyses. Hyperspectral data analyses are superior to traditional broadband analyses in spectral information. Many investigations explore and document remote sensing of vegetation and agricultural croplands. Some examples include (a) detecting plant stress [1], (b) measuring chlorophyll content of plants [2], (c) identifying small differences in percent of green vegetation cover [3], (d) extracting biochemical variables such as nitrogen and lignin [2,4–6], (e) discriminating land-cover types [7], (f) detecting crop moisture variations [8], (g) sensing subtle variations in leaf pigment concentrations [2,9,10], (h) modeling biophysical and yield characteristics of agricultural crops [6,11,12], (i) improving the detection of changes in sparse vegetation [13], and (j) assessing absolute water content in plant leaves [14]. This is a fairly detailed list but not exhaustive, meant to provide the reader with a measure of the current, proven experimental capabilities, and operational applications, and stimulate investigations of new, ambitious applications.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hyperspectral remote sensing of vegetation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","usgsCitation":"Thenkabail, P.S., Lyon, J., and Huete, A., 2011, Advances in hyperspectral remote sensing of vegetation and agricultural croplands, 34 p.","productDescription":"34 p.","startPage":"3","endPage":"36","ipdsId":"IP-024825","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":284322,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4b39e4b0b290850f03de","contributors":{"editors":[{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":509825,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Lyon, John G.","contributorId":38044,"corporation":false,"usgs":true,"family":"Lyon","given":"John G.","affiliations":[],"preferred":false,"id":509823,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Huete, Alfredo","contributorId":48337,"corporation":false,"usgs":true,"family":"Huete","given":"Alfredo","affiliations":[],"preferred":false,"id":509824,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":491790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyon, John G.","contributorId":38044,"corporation":false,"usgs":true,"family":"Lyon","given":"John G.","affiliations":[],"preferred":false,"id":491791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huete, Alfredo","contributorId":48337,"corporation":false,"usgs":true,"family":"Huete","given":"Alfredo","affiliations":[],"preferred":false,"id":491792,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70007084,"text":"ofr20111289 - 2011 - Hydrostratigraphic interpretation of test-hole and geophysical data, Upper Loup River Basin, Nebraska, 2008-10","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"ofr20111289","displayToPublicDate":"2012-01-05T00:00:00","publicationYear":"2011","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":"2011-1289","title":"Hydrostratigraphic interpretation of test-hole and geophysical data, Upper Loup River Basin, Nebraska, 2008-10","docAbstract":"Nebraska's Upper Loup Natural Resources District is currently (2011) participating in the Elkhorn-Loup Model to understand the effect of various groundwater-management scenarios on surface-water resources. During Phase 1 of the Elkhorn-Loup Model, a lack of subsurface geological information in the Upper Loup Natural Resources District, hereafter referred to as the upper Loup study area, was identified as a gap in current knowledge that needed to be addressed. To improve the understanding of the hydrogeology of the upper Loup study area, the U.S. Geological Survey, in cooperation with the Upper Loup Natural Resources District and the University of Nebraska Conservation and Survey Division, collected and described the lithology of drill cuttings from nine test holes, and concurrently collected borehole geophysical data to identify the base of the High Plains aquifer. Surface geophysical data also were collected using time-domain electromagnetic (TDEM) and audio-magnetotelluric (AMT) methods at test-hole locations and between test holes, as a quick, non-invasive means of identifying the base of the High Plains aquifer.\nTest-hole drilling has indicated greater variation in the base-of-aquifer elevation in the western part of the upper Loup study area than in the eastern part reflecting a number of deep paleovalleys incised into the Brule Formation of the White River Group. TDEM measurements within the upper Loup study area were shown to be effective as virtual boreholes in mapping out the base of the aquifer. TDEM estimates of the base of aquifer were in good accordance with existing test-hole data and were able to improve the interpreted elevation and topology of the base of the aquifer. In 2010, AMT data were collected along a profile, approximately 12 miles (19 kilometers) in length, along Whitman Road, in Grant and Cherry Counties. The AMT results along Whitman Road indicated substantial variability in the elevation of the base of the High Plains aquifer and in the distribution of highly permeable zones within the aquifer.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111289","collaboration":"Prepared in cooperation with the Upper Loup Natural Resources District and the University of Nebraska Conservation and Survey Division","usgsCitation":"Hobza, C.M., Asch, T., and Bedrosian, P.A., 2011, Hydrostratigraphic interpretation of test-hole and geophysical data, Upper Loup River Basin, Nebraska, 2008-10: U.S. Geological Survey Open-File Report 2011-1289, viii, 37 p.; Tables; Figures, https://doi.org/10.3133/ofr20111289.","productDescription":"viii, 37 p.; Tables; Figures","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":116327,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1289.jpg"},{"id":112429,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1289/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","state":"Nebraska","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a378ce4b0c8380cd60f78","contributors":{"authors":[{"text":"Hobza, Christopher M. 0000-0002-6239-934X cmhobza@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-934X","contributorId":2393,"corporation":false,"usgs":true,"family":"Hobza","given":"Christopher","email":"cmhobza@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Asch, Theodore H.","contributorId":83617,"corporation":false,"usgs":true,"family":"Asch","given":"Theodore H.","affiliations":[],"preferred":false,"id":355792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":355790,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70005417,"text":"70005417 - 2011 - Editor’s message: Groundwater modeling fantasies - Part 1, adrift in the details","interactions":[],"lastModifiedDate":"2020-01-11T10:28:19","indexId":"70005417","displayToPublicDate":"2012-01-01T18:32:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Editor’s message: Groundwater modeling fantasies - Part 1, adrift in the details","docAbstract":"Fools ignore complexity. Pragmatists suffer it. Some can avoid it. Geniuses remove it. …Simplicity does not precede complexity, but follows it. (Epigrams in Programming by Alan Perlis, a computer scientist; Perlis 1982).
A doctoral student creating a groundwater model of a regional aquifer put individual circular regions around data points where he had hydraulic head measurements, so that each region’s parameter values could be adjusted to get perfect fit with the measurement at that point. Nearly every measurement point had its own parameter-value region. After calibration, the student was satisfied because his model correctly reproduced all of his data. Did he really get the true field values of parameters in this manner? Did this approach result in a realistic, meaningful and useful groundwater model?—truly doubtful. Is this story a sign of a common style of educating hydrogeology students these days? Where this is the case, major changes are needed to add back ‘common-sense hydrogeology’ to the curriculum. Worse, this type of modeling approach has become an industry trend in application of groundwater models to real systems, encouraged by the advent of automatic model calibration software that has no problem providing numbers for as many parameter value estimates as desired. Just because a computer program can easily create such values does not mean that they are in any sense useful—but unquestioning practitioners are happy to follow such software developments, perhaps because of an implied promise that highly parameterized models, here referred to as ‘complex’, are somehow superior. This and other fallacies are implicit in groundwater modeling studies, most usually not acknowledged when presenting results. This two-part Editor’s Message deals with the state of groundwater modeling: part 1 (here) focuses on problems and part 2 (Voss 2011) on prospects.
","language":"English","publisher":"Springer","doi":"10.1007/s10040-011-0789-z","usgsCitation":"Voss, C.I., 2011, Editor’s message: Groundwater modeling fantasies - Part 1, adrift in the details: Hydrogeology Journal, v. 19, no. 7, p. 1281-1284, https://doi.org/10.1007/s10040-011-0789-z.","productDescription":"4 p.","startPage":"1281","endPage":"1284","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":474791,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-011-0789-z","text":"Publisher Index Page"},{"id":258182,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-10-25","publicationStatus":"PW","scienceBaseUri":"505a05a9e4b0c8380cd50ec7","contributors":{"authors":[{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":352443,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70038923,"text":"70038923 - 2011 - Evaluating the potential for remote bathymetric mapping of a turbid, sand-bed river: 2. application to hyperspectral image data from the Platte River","interactions":[],"lastModifiedDate":"2012-07-06T01:01:41","indexId":"70038923","displayToPublicDate":"2012-01-01T17:25:29","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the potential for remote bathymetric mapping of a turbid, sand-bed river: 2. application to hyperspectral image data from the Platte River","docAbstract":"This study examined the possibility of mapping depth from optical image data in turbid, sediment-laden channels. Analysis of hyperspectral images from the Platte River indicated that depth retrieval in these environments is feasible, but might not be highly accurate. Four methods of calibrating image-derived depth estimates were evaluated. The first involved extracting image spectra at survey point locations throughout the reach. These paired observations of depth and reflectance were subjected to optimal band ratio analysis (OBRA) to relate (R2 = 0.596) a spectrally based quantity to flow depth. Two other methods were based on OBRA of data from individual cross sections. A fourth strategy used ground-based reflectance measurements to derive an OBRA relation (R2 = 0.944) that was then applied to the image. Depth retrieval accuracy was assessed by visually inspecting cross sections and calculating various error metrics. Calibration via field spectroscopy resulted in a shallow bias but provided relative accuracies similar to image-based methods. Reach-aggregated OBRA was marginally superior to calibrations based on individual cross sections, and depth retrieval accuracy varied considerably along each reach. Errors were lower and observed versus predicted regression R2 values higher for a relatively simple, deeper site than a shallower, braided reach; errors were 1/3 and 1/2 the mean depth for the two reaches. Bathymetric maps were coherent and hydraulically reasonable, however, and might be more reliable than implied by numerical metrics. As an example application, linear discriminant analysis was used to produce a series of depth threshold maps for characterizing shallow-water habitat for roosting cranes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1029/2011WR010592","usgsCitation":"Legleiter, C.J., Kinzel, P.J., and Overstreet, B.T., 2011, Evaluating the potential for remote bathymetric mapping of a turbid, sand-bed river: 2. application to hyperspectral image data from the Platte River: Water Resources Research, v. 47, 21 p.; W09532, https://doi.org/10.1029/2011WR010592.","productDescription":"21 p.; W09532","numberOfPages":"21","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":258180,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":258171,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011WR010592","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Platte River","volume":"47","noUsgsAuthors":false,"publicationDate":"2011-09-29","publicationStatus":"PW","scienceBaseUri":"505a0bfde4b0c8380cd529aa","contributors":{"authors":[{"text":"Legleiter, Carl J.","contributorId":85819,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":465257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":465255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Overstreet, Brandon T. 0000-0001-7845-6671","orcid":"https://orcid.org/0000-0001-7845-6671","contributorId":63257,"corporation":false,"usgs":true,"family":"Overstreet","given":"Brandon","email":"","middleInitial":"T.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":465256,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70005626,"text":"70005626 - 2011 - An evaluation of the Bayesian approach to fitting the N-mixture model for use with pseudo-replicated count data","interactions":[],"lastModifiedDate":"2012-08-03T01:02:04","indexId":"70005626","displayToPublicDate":"2012-01-01T16:15:20","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2463,"text":"Journal of Statistical Computation and Simulation","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of the Bayesian approach to fitting the N-mixture model for use with pseudo-replicated count data","docAbstract":"The N-mixture model proposed by Royle in 2004 may be used to approximate the abundance and detection probability of animal species in a given region. In 2006, Royle and Dorazio discussed the advantages of using a Bayesian approach in modelling animal abundance and occurrence using a hierarchical N-mixture model. N-mixture models assume replication on sampling sites, an assumption that may be violated when the site is not closed to changes in abundance during the survey period or when nominal replicates are defined spatially. In this paper, we studied the robustness of a Bayesian approach to fitting the N-mixture model for pseudo-replicated count data. Our simulation results showed that the Bayesian estimates for abundance and detection probability are slightly biased when the actual detection probability is small and are sensitive to the presence of extra variability within local sites.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Statistical Computation and Simulation","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/00949655.2011.572881","usgsCitation":"Toribo, S., Gray, B., and Liang, S., 2011, An evaluation of the Bayesian approach to fitting the N-mixture model for use with pseudo-replicated count data: Journal of Statistical Computation and Simulation, v. 82, no. 8, p. 1135-1143, https://doi.org/10.1080/00949655.2011.572881.","productDescription":"9 p.","startPage":"1135","endPage":"1143","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":259090,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":259086,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00949655.2011.572881","linkFileType":{"id":5,"text":"html"}}],"volume":"82","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ea53e4b0c8380cd487ab","contributors":{"authors":[{"text":"Toribo, S.G.","contributorId":6314,"corporation":false,"usgs":true,"family":"Toribo","given":"S.G.","email":"","affiliations":[],"preferred":false,"id":352978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, B. R. 0000-0001-7682-9550","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":14785,"corporation":false,"usgs":true,"family":"Gray","given":"B. R.","affiliations":[],"preferred":false,"id":352979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liang, S.","contributorId":54767,"corporation":false,"usgs":true,"family":"Liang","given":"S.","email":"","affiliations":[],"preferred":false,"id":352980,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70003753,"text":"70003753 - 2011 - An automated device for provoking and capturing wildlife calls","interactions":[],"lastModifiedDate":"2017-05-10T13:49:01","indexId":"70003753","displayToPublicDate":"2012-01-01T16:14:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"An automated device for provoking and capturing wildlife calls","docAbstract":"Some animals exhibit call-and-response behaviors that can be exploited to facilitate detection. Traditionally, acoustic surveys that use call-and-respond techniques have required an observer's presence to perform the broadcast, record the response, or both events. This can be labor-intensive and may influence animal behavior and, thus, survey results. We developed an automated acoustic survey device using commercially available hardware (e.g., laptop computer, speaker, microphone) and an author-created (JS) software program (\"HOOT\") that can be used to survey for any animal that calls. We tested this device to determine 1) deployment longevity, 2) effective sampling area, and 3) ability to detect known packs of gray wolves (Canis lupus) in Idaho, USA. Our device was able to broadcast and record twice daily for 6–7 days using the internal computer battery and surveyed an area of 3.3–17.5 km2 in relatively open habitat depending on the hardware components used. We surveyed for wolves at 2 active rendezvous sites used by closely monitored, radiocollared wolf packs and obtained 4 responses across both packs over 3 days of sampling. We confirmed reproduction in these 2 packs by detecting pup howls aurally from the resulting device recordings. Our device can broadcast and record animal calls and the computer software is freely downloadable. This automated survey device can be used to collect reliable data while reducing the labor costs traditionally associated with acoustic surveys.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wildlife Society Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/wsb.80","usgsCitation":"Ausband, D., Skrivseth, J., and Mitchell, M.S., 2011, An automated device for provoking and capturing wildlife calls: Wildlife Society Bulletin, v. 35, no. 4, p. 498-503, https://doi.org/10.1002/wsb.80.","productDescription":"6 p.","startPage":"498","endPage":"503","ipdsId":"IP-027039","costCenters":[{"id":399,"text":"Montana Cooperative Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":499887,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/c3fd130327d04fc791d70f1a345ab5ef","text":"External Repository"},{"id":257653,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257652,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wsb.80","linkFileType":{"id":5,"text":"html"}}],"volume":"35","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-10-28","publicationStatus":"PW","scienceBaseUri":"5059ea1fe4b0c8380cd48657","contributors":{"authors":[{"text":"Ausband, David E.","contributorId":51441,"corporation":false,"usgs":true,"family":"Ausband","given":"David E.","affiliations":[],"preferred":false,"id":348710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skrivseth, Jesse","contributorId":65321,"corporation":false,"usgs":true,"family":"Skrivseth","given":"Jesse","email":"","affiliations":[],"preferred":false,"id":348711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":348709,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70004502,"text":"70004502 - 2011 - Alternative states of a semiarid grassland ecosystem: implications for ecosystem services","interactions":[],"lastModifiedDate":"2012-06-17T01:01:48","indexId":"70004502","displayToPublicDate":"2012-01-01T16:10:17","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Alternative states of a semiarid grassland ecosystem: implications for ecosystem services","docAbstract":"Ecosystems can shift between alternative states characterized by persistent differences in structure, function, and capacity to provide ecosystem services valued by society. We examined empirical evidence for alternative states in a semiarid grassland ecosystem where topographic complexity and contrasting management regimes have led to spatial variations in levels of livestock grazing. Using an inventory data set, we found that plots (n = 72) cluster into three groups corresponding to generalized alternative states identified in an a priori conceptual model. One cluster (biocrust) is notable for high coverage of a biological soil crust functional group in addition to vascular plants. Another (grass-bare) lacks biological crust but retains perennial grasses at levels similar to the biocrust cluster. A third (annualized-bare) is dominated by invasive annual plants. Occurrence of grass-bare and annualized-bare conditions in areas where livestock have been excluded for over 30 years demonstrates the persistence of these states. Significant differences among all three clusters were found for percent bare ground, percent total live cover, and functional group richness. Using data for vegetation structure and soil erodibility, we also found large among-cluster differences in average levels of dust emissions predicted by a wind-erosion model. Predicted emissions were highest for the annualized-bare cluster and lowest for the biocrust cluster, which was characterized by zero or minimal emissions even under conditions of extreme wind. Results illustrate potential trade-offs among ecosystem services including livestock production, soil retention, carbon storage, and biodiversity conservation. Improved understanding of these trade-offs may assist ecosystem managers when evaluating alternative management strategies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","doi":"10.1890/ES11-00027.1","usgsCitation":"Miller, M.E., Belote, R.T., Bowker, M.A., and Garman, S.L., 2011, Alternative states of a semiarid grassland ecosystem: implications for ecosystem services: Ecosphere, v. 2, no. 5, 18 p.; Article 55, https://doi.org/10.1890/ES11-00027.1.","productDescription":"18 p.; Article 55","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488009,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es11-00027.1","text":"Publisher Index Page"},{"id":257654,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257651,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/ES11-00027.1","linkFileType":{"id":5,"text":"html"}}],"country":"United States","volume":"2","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e981e4b0c8380cd4831c","contributors":{"authors":[{"text":"Miller, Mark E.","contributorId":91580,"corporation":false,"usgs":false,"family":"Miller","given":"Mark","email":"","middleInitial":"E.","affiliations":[{"id":6959,"text":"National Park Service Southeast Utah Group","active":true,"usgs":false}],"preferred":false,"id":350516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belote, R. Travis","contributorId":39634,"corporation":false,"usgs":true,"family":"Belote","given":"R.","email":"","middleInitial":"Travis","affiliations":[],"preferred":false,"id":350515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowker, Matthew A. mbowker@usgs.gov","contributorId":2875,"corporation":false,"usgs":true,"family":"Bowker","given":"Matthew","email":"mbowker@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":350513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garman, Steven L. 0000-0002-9032-9074 slgarman@usgs.gov","orcid":"https://orcid.org/0000-0002-9032-9074","contributorId":3741,"corporation":false,"usgs":true,"family":"Garman","given":"Steven","email":"slgarman@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":350514,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70048357,"text":"70048357 - 2011 - Offshore sand-shoal development and evolution of Petit Bois Pass, Mississippi-Alabama Barrier Islands, Mississippi, USA","interactions":[],"lastModifiedDate":"2014-05-28T15:34:04","indexId":"70048357","displayToPublicDate":"2012-01-01T15:15:00","publicationYear":"2011","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Offshore sand-shoal development and evolution of Petit Bois Pass, Mississippi-Alabama Barrier Islands, Mississippi, USA","docAbstract":"Assessment of recently collected geophysical and sediment-core data identifies an extensive shoal field located off Dauphin and Petit Bois Islands. The shoals are the product of Pleistocene fluvial deposition and Holocene marine-transgressive processes, and their position and orientation oblique to the modern shoreline has been stable over the past century. The underlying stratigraphy has also influenced the evolution of the barrier platform and inlets. Buried distributary channels bisect the platform, creating erosion hotspots that breach during intense and repeated storms. Inlet growth inhibits littoral transport, and over time, reduces the down-drift sand supply. These relations demonstrate the role of the antecedent geologic framework on morphologic evolution. This study is part of the USGS Northern Gulf of Mexico Ecosystem Change and Hazard Susceptibility Project and the USACE Mississippi Coastal Improvements Program. These projects produced a wealth of information regarding coastal geology, geomorphology, and physical resources; some of the initial results are presented here.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Proceedings of the Coastal Sediments 2011","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"conferenceTitle":"Coastal Sediments 2011","conferenceDate":"2011-04-30T00:00:00","conferenceLocation":"Miami, FL","language":"English","publisher":"World Scientific","doi":"10.1142/9789814355537_0163","usgsCitation":"Flocks, J.G., Kelso, K.W., Twichell, G.C., Buster, N.A., and Baehr, J.N., 2011, Offshore sand-shoal development and evolution of Petit Bois Pass, Mississippi-Alabama Barrier Islands, Mississippi, USA, 14 p., https://doi.org/10.1142/9789814355537_0163.","productDescription":"14 p.","startPage":"2170","endPage":"2183","numberOfPages":"14","ipdsId":"IP-026526","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":287707,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287706,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1142/9789814355537_0163"}],"country":"United States","state":"Alabama;Mississippi","otherGeospatial":"Dauphin Island;Gulf Of Mexico;Petit Bois Island;Petit Bois Pass","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.795,29.8044 ], [ -88.795,30.5995 ], [ -87.797,30.5995 ], [ -87.797,29.8044 ], [ -88.795,29.8044 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2012-06-07","publicationStatus":"PW","scienceBaseUri":"53870570e4b0aa26cd7b53e3","contributors":{"editors":[{"text":"Rosati, Julie D.","contributorId":112486,"corporation":false,"usgs":false,"family":"Rosati","given":"Julie D.","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":509613,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Wang, Ping","contributorId":78646,"corporation":false,"usgs":false,"family":"Wang","given":"Ping","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":509612,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Roberts, Tiffany M.","contributorId":114195,"corporation":false,"usgs":false,"family":"Roberts","given":"Tiffany","email":"","middleInitial":"M.","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":509614,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelso, Kyle W. 0000-0003-0615-242X kkelso@usgs.gov","orcid":"https://orcid.org/0000-0003-0615-242X","contributorId":4307,"corporation":false,"usgs":true,"family":"Kelso","given":"Kyle","email":"kkelso@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Twichell, Gregory C.","contributorId":13146,"corporation":false,"usgs":true,"family":"Twichell","given":"Gregory","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":484410,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buster, Noreen A. 0000-0001-5069-9284 nbuster@usgs.gov","orcid":"https://orcid.org/0000-0001-5069-9284","contributorId":3750,"corporation":false,"usgs":true,"family":"Buster","given":"Noreen","email":"nbuster@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":484408,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baehr, John N.","contributorId":85884,"corporation":false,"usgs":true,"family":"Baehr","given":"John","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":484411,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70005248,"text":"70005248 - 2011 - A new strategy for developing Vs30 maps","interactions":[],"lastModifiedDate":"2013-02-19T23:41:55","indexId":"70005248","displayToPublicDate":"2012-01-01T14:52:43","publicationYear":"2011","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"A new strategy for developing Vs30 maps","docAbstract":"Despite obvious limitations as a proxy for site amplification, the use of time-averaged shear-wave velocity over the top 30m (Vs30) is useful and widely practiced, most notably through its use as an explanatory variable in ground motion prediction equations (and thus hazard maps and ShakeMaps, among other applications). Local, regional, and global Vs30 maps thus have diverse and fundamental uses in earthquake and engineering seismology. As such, we are developing an improved strategy for producing Vs30 maps given the common observational constraints available in any region for various spatial scales. We investigate a hierarchical approach to mapping Vs30, where the baseline model is derived from topographic slope because it is available globally, but geological maps and Vs30 observations contribute, where available. Using the abundant measured Vs30 values in Taiwan as an example, we analyze Vs30 versus slope per geologic unit and observe minor trends that indicate potential interaction of geologic and slope terms. We then regress Vs30 for the geologic Vs30 medians, topographic-slope, and cross-term coefficients for a hybrid model. The residuals of this hybrid model still exhibit a strong spatial correlation structure, so we use the kriging-with-a-trend method (the trend is the hybrid model) to further refine the Vs30 map so as to honor the Vs30 observations. Unlike the geology or slope models alone, this strategytakes advantage of the predictive capabilities of the two models, yet effectively defaults to ordinary kriging in the vicinity of the observed data, thereby achieving consistency with the observed data.","conferenceTitle":"4th IASPEI/IAEE International Symposium: Effects of Surface Geology on Seismic Motion","conferenceDate":"23-AUG-11","conferenceLocation":"Santa Barbara, CA","language":"English","publisher":"University of California Santa Barbara","publisherLocation":"Santa Barbara, CA","usgsCitation":"Wald, D.J., McWhirter, L., Thompson, E., and Hering, A.S., 2011, A new strategy for developing Vs30 maps, 12 p.","productDescription":"12 p.","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":257643,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":257641,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://esg4.eri.ucsb.edu/sites/esg4.eri.ucsb.edu/files/6.5%20Wald%20et%20al.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e4b7e4b0c8380cd46885","contributors":{"authors":[{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":352149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McWhirter, Leslie","contributorId":104332,"corporation":false,"usgs":true,"family":"McWhirter","given":"Leslie","email":"","affiliations":[],"preferred":false,"id":352152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Eric","contributorId":33410,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","affiliations":[],"preferred":false,"id":352151,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hering, Amanda S.","contributorId":29258,"corporation":false,"usgs":true,"family":"Hering","given":"Amanda","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":352150,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}