Spatially explicit land cover land use (LCLU) change information is needed to drive biogeochemical models that simulate soil organic carbon (SOC) dynamics. Such information is increasingly being mapped using remotely sensed satellite data with classification schemes and uncertainties constrained by the sensing system, classification algorithms and land cover schemes. In this study, automated LCLU classification of multi-temporal Landsat satellite data were used to assess the sensitivity of SOC modeled by the Global Ensemble Biogeochemical Modeling System (GEMS). The GEMS was run for an area of 1560 km2 in Senegal under three climate change scenarios with LCLU maps generated using different Landsat classification approaches. This research provides a method to estimate the variability of SOC, specifically the SOC uncertainty due to satellite classification errors, which we show is dependent not only on the LCLU classification errors but also on where the LCLU classes occur relative to the other GEMS model inputs.
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/bg-9-631-2012","issn":"18106277","usgsCitation":"Dieye, A., Roy, D.P., Hanan, N., Liu, S., Hansen, M., and Toure, A., 2012, Sensitivity analysis of the GEMS soil organic carbon model to land cover land use classification uncertainties under different climate scenarios in Senegal: Biogeosciences, v. 9, p. 631-648, https://doi.org/10.5194/bg-9-631-2012.","productDescription":"18 p.","startPage":"631","endPage":"648","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474697,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-9-631-2012","text":"Publisher Index Page"},{"id":246158,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2012-02-03","publicationStatus":"PW","scienceBaseUri":"505b8d24e4b08c986b318292","contributors":{"authors":[{"text":"Dieye, A.M.","contributorId":35988,"corporation":false,"usgs":true,"family":"Dieye","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":455789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, David P.","contributorId":54761,"corporation":false,"usgs":false,"family":"Roy","given":"David","email":"","middleInitial":"P.","affiliations":[{"id":26958,"text":"South Dakota State University, Brookings, SD","active":true,"usgs":false},{"id":33433,"text":"University of Maryland, College Park","active":true,"usgs":false},{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":455790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanan, N.P.","contributorId":82123,"corporation":false,"usgs":true,"family":"Hanan","given":"N.P.","affiliations":[],"preferred":false,"id":455791,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":455792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hansen, M.","contributorId":34670,"corporation":false,"usgs":true,"family":"Hansen","given":"M.","affiliations":[],"preferred":false,"id":455788,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Toure, A.","contributorId":98920,"corporation":false,"usgs":true,"family":"Toure","given":"A.","email":"","affiliations":[],"preferred":false,"id":455793,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70237802,"text":"70237802 - 2012 - Numerical simulations examining the possible role of anthropogenic and volcanic emissions during the 1997 Indonesian fires","interactions":[],"lastModifiedDate":"2022-10-25T10:58:15.17341","indexId":"70237802","displayToPublicDate":"2010-12-02T09:01:03","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12793,"text":"Air Quality, Atmosphere & Health","active":true,"publicationSubtype":{"id":10}},"title":"Numerical simulations examining the possible role of anthropogenic and volcanic emissions during the 1997 Indonesian fires","docAbstract":"The regional atmospheric chemistry and climate model REMOTE has been used to conduct numerical simulations of the atmosphere during the catastrophic Indonesian fires of 1997. These simulations represent one possible scenario of the event, utilizing the RETRO wildland fire emission database. Emissions from the fires dominate the atmospheric concentrations of O3, CO, NO2, and SO2 creating many possible exceedances of the Indonesian air quality standards. The scenario described here suggests that urban anthropogenic emissions contributed to the poor air quality due primarily to the fires. The urban air pollution may have increased the total number of people exposed to exceedances of the O3 1-h standard by 17%. Secondary O3 from anthropogenic emissions enhanced the conversion of SO2 released by the fires to
The Canada Centre for Remote Sensing (CCRS) has more than 30 years of experience investigating the use of SAR remote sensing for many applications related to terrestrial water resources. Recently, CCRS scientists began contributing to the Terrestrial Wetland Global Change Research Network (TWGCRN), a bi-national research network dedicated to assessing impacts of global change on interconnected wetland-upland landscapes across a vital portion of North America. CCRS scientists are applying SAR remote sensing to characterize wetland components of these landscapes in three ways. First, they are using a comprehensive set of RADARSAT-2 SAR data collected during April to September 2009 to extract multi-temporal surface water information for key TWGCRN study landscapes in North America. Second, they are analyzing polarimetric RADARSAT-2 data to determine areas where double-bounce represents the primary scattering mechanism and is indicative of flooded vegetation in these landscapes. Third, they are testing advanced interferometric SAR techniques to estimate water levels with RADARSAT-2 Fine Quad polarimetric image pairs. The combined information from these three SAR analysis activities will provide TWGCRN scientists with an integrated view and monitoring capability for these dynamic wetland-upland landscapes. These data are being used in conjunction with other remote sensing and field data to study interactions between landscape and animal (birds and amphibians) responses to climate/global change.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote Sensing and Hydrology (Proceedings of a symposium held at Jackson Hole, Wyoming, USA, September 2010) (IAHS Publ. 352, 2012)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Remote Sensing and Hydrology 2010 Symposium","conferenceDate":"September 27-30, 2010","conferenceLocation":"Jackson Hole, Wyoming","language":"English","publisher":"IAHS","usgsCitation":"Kaya, S., Brisco, B., Cull, A., Gallant, A.L., Sadinski, W.J., and Thompson, D., 2012, Canadian SAR remote sensing for the Terrestrial Wetland Global Change Research Network (TWGCRN), in Remote Sensing and Hydrology (Proceedings of a symposium held at Jackson Hole, Wyoming, USA, September 2010) (IAHS Publ. 352, 2012), Jackson Hole, Wyoming, September 27-30, 2010, p. 380-383.","productDescription":"4 p.","startPage":"380","endPage":"383","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-023892","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":307330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe821de4b0824b2d148459","contributors":{"authors":[{"text":"Kaya, Shannon","contributorId":119420,"corporation":false,"usgs":true,"family":"Kaya","given":"Shannon","affiliations":[],"preferred":false,"id":569543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brisco, Brian","contributorId":37665,"corporation":false,"usgs":true,"family":"Brisco","given":"Brian","email":"","affiliations":[],"preferred":false,"id":569544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cull, Andrew","contributorId":117263,"corporation":false,"usgs":true,"family":"Cull","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":569545,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gallant, Alisa L. 0000-0002-3029-6637 gallant@usgs.gov","orcid":"https://orcid.org/0000-0002-3029-6637","contributorId":2940,"corporation":false,"usgs":true,"family":"Gallant","given":"Alisa","email":"gallant@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":569546,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sadinski, Walter J. wsadinski@usgs.gov","contributorId":3287,"corporation":false,"usgs":true,"family":"Sadinski","given":"Walter","email":"wsadinski@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":569547,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thompson, Dean","contributorId":120162,"corporation":false,"usgs":true,"family":"Thompson","given":"Dean","email":"","affiliations":[],"preferred":false,"id":569548,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":58155,"text":"ofr20041344 - 2012 - Version 3.0 of EMINERS - Economic Mineral Resource Simulator","interactions":[{"subject":{"id":50697,"text":"ofr02380 - 2002 - EMINERS -- An Economic Mineral Resource Simulator","indexId":"ofr02380","publicationYear":"2002","noYear":false,"title":"EMINERS -- An Economic Mineral Resource Simulator"},"predicate":"SUPERSEDED_BY","object":{"id":58155,"text":"ofr20041344 - 2012 - Version 3.0 of EMINERS - Economic Mineral Resource Simulator","indexId":"ofr20041344","publicationYear":"2012","noYear":false,"title":"Version 3.0 of EMINERS - Economic Mineral Resource Simulator"},"id":1}],"lastModifiedDate":"2012-07-03T17:03:08","indexId":"ofr20041344","displayToPublicDate":"2004-11-01T02:00:00","publicationYear":"2012","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":"2004-1344","title":"Version 3.0 of EMINERS - Economic Mineral Resource Simulator","docAbstract":"Quantitative mineral resource assessment, as developed by the U.S. Geological Survey (USGS), consists of three parts: (1) development of grade and tonnage mineral deposit models; (2) delineation of tracts permissive for each deposit type; and (3) probabilistic estimation of the numbers of undiscovered deposits for each deposit type. The estimate of the number of undiscovered deposits at different levels of probability is the input to the EMINERS (Economic Mineral Resource Simulator) program. EMINERS uses a Monte Carlo statistical process to combine probabilistic estimates of undiscovered mineral deposits with models of mineral deposit grade and tonnage to estimate mineral resources. Version 3.0 of the EMINERS program is available as this USGS Open-File Report 2004-1344. Changes from version 2.0 include updating 87 grade and tonnage models, designing new templates to produce graphs showing cumulative distribution and summary tables, and disabling economic filters. The economic filters were disabled because embedded data for costs of labor and materials, mining techniques, and beneficiation methods are out of date. However, the cost algorithms used in the disabled economic filters are still in the program and available for reference for mining methods and milling techniques. The release notes included with this report give more details on changes in EMINERS over the years. EMINERS is written in C++ and depends upon the Microsoft Visual C++ 6.0 programming environment. The code depends heavily on the use of Microsoft Foundation Classes (MFC) for implementation of the Windows interface. The program works only on Microsoft Windows XP or newer personal computers. It does not work on Macintosh computers. For help in using the program in this report, see the \"Quick-Start Guide for Version 3.0 of EMINERS-Economic Mineral Resource Simulator\" (W.J. Bawiec and G.T. Spanski, 2012, USGS Open-File Report 2009-1057, linked at right). It demonstrates how to execute EMINERS software using default settings and existing deposit models.","language":"English","publisher":"U.S. Gelogical Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20041344","collaboration":"Version 3.0 is an update to USGS Open-File Report 2004-1344, which originally was version 2.0 of EMINERS by J.S. Duval","usgsCitation":"Duval, J.S., 2012, Version 3.0 of EMINERS - Economic Mineral Resource Simulator (Version 3.0 of EMINERS updates version 2.0; Version 2.0 supersedes Open-File Report 2002-0380): U.S. Geological Survey Open-File Report 2004-1344, Readme: 4 p.; EMINERS Verison 3.0 Zip; Release Notes: 4 p., https://doi.org/10.3133/ofr20041344.","productDescription":"Readme: 4 p.; EMINERS Verison 3.0 Zip; Release Notes: 4 p.","onlineOnly":"Y","costCenters":[{"id":410,"text":"National Center","active":false,"usgs":true}],"links":[{"id":185448,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2004_1344.jpg"},{"id":5769,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2004/1344/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 3.0 of EMINERS updates version 2.0; Version 2.0 supersedes Open-File Report 2002-0380","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4affe4b07f02db697c48","contributors":{"authors":[{"text":"Duval, Joseph S.","contributorId":22314,"corporation":false,"usgs":true,"family":"Duval","given":"Joseph","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":258411,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":39853,"text":"twri09A6.6 - 2012 - Chapter A6. Section 6.6. Alkalinity and acid neutralizing capacity","interactions":[],"lastModifiedDate":"2019-05-28T12:21:40","indexId":"twri09A6.6","displayToPublicDate":"1999-01-10T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":336,"text":"Techniques of Water-Resources Investigations","code":"TWRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"09-A6.6","title":"Chapter A6. Section 6.6. Alkalinity and acid neutralizing capacity","docAbstract":"Alkalinity (determined on a filtered sample) and Acid Neutralizing Capacity (ANC) (determined on a whole-water sample) are measures of the ability of a water sample to neutralize strong acid. Alkalinity and ANC provide information on the suitability of water for uses such as irrigation, determining the efficiency of wastewater processes, determining the presence of contamination by anthropogenic wastes, and maintaining ecosystem health. In addition, alkalinity is used to gain insights on the chemical evolution of an aqueous system. This section of the National Field Manual (NFM) describes the USGS field protocols for alkalinity/ANC determination using either the inflection-point or Gran function plot methods, including calculation of carbonate species, and provides guidance on equipment selection. Newly published and revised chapters will be announced on the USGS Home Page on the World Wide Web under 'New Publications of the U.S. Geological Survey.'
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"National Field Manual for the Collection of Water-Quality Data. U.S. Geological Survey Techniques of Water-Resources Investigations, Book 9","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/twri09A6.6","usgsCitation":"Rounds, S.A., and Wilde, F.D., 2012, Chapter A6. Section 6.6. Alkalinity and acid neutralizing capacity (Version 3, Revised Jul 2006): U.S. Geological Survey Techniques of Water-Resources Investigations 09-A6.6, 53 p., https://doi.org/10.3133/twri09A6.6.","productDescription":"53 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":172683,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":363018,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/twri/twri9a6/twri9a66/twri9a_chapter6.6_9-2001.pdf","text":"Report September 2001","size":"692 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Second Edition (without comments)"},{"id":363017,"rank":6,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/twri/twri9a6/twri9a66/twri9a_Section6.6_4-98.pdf","text":"Report April 1998","size":"131 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Original Report"},{"id":363697,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/tm9A0","text":"Techniques and Methods 9-AO","linkHelpText":"- General Introduction for the “National Field Manual for the Collection of Water-Quality Data”"},{"id":363019,"rank":5,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/twri/twri9a6/twri9a66/twri9a_chapter6.6.pdf","text":"Report September 2001","size":"3.95 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Second Edition (with comment updates)"},{"id":363020,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/twri/twri9a6/twri9a66/twri9a_chapter6.6._v3.pdf","text":"Report July 2006","size":"414 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Third Edition"},{"id":3567,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/twri/twri9a6/twri9a66/twri9a_6.6.pdf","text":"Report","size":"648 KB","linkFileType":{"id":1,"text":"pdf"},"description":"TWRI 9a6.6"}],"edition":"Version 3, Revised Jul 2006","contact":"Water Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
Email: nfm@usgs.gov
","tableOfContents":"Afghanistan has the potential to contain substantial metallic mineral resources. Although valuable mineral deposits have been identified, much of the country’s potential remains unknown. Geophysical surveys, particularly those conducted from airborne platforms, are a well-accepted and cost-effective method for obtaining information on the geological setting of a given area. This report summarizes interpretive findings from various geophysical surveys over selected mineral targets in Afghanistan, highlighting what existing data tell us. These interpretations are mainly qualitative in nature, because of the low resolution of available geophysical data.
Geophysical data and simple interpretations are included for these six areas and deposit types: (1) Aynak: Sedimentary-hosted copper; (2) Zarkashan: Porphyry copper; (3) Kundalan: Porphyry copper; (4) Dusar Shaida: Volcanic-hosted massive sulphide; (5) Khanneshin: Carbonatite-hosted rare earth element; and (6) Chagai Hills: Porphyry copper.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111258","usgsCitation":"Drenth, B.J., 2011, Notes on interpretation of geophysical data over areas of mineralization in Afghanistan: U.S. Geological Survey Open-File Report 2011–1258, 13 p.","productDescription":"iv, 13 p.","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":371064,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2011/1258/ofr20111258.pdf","text":"Report","size":"9.28 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2011-1258"},{"id":371063,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2011/1258/coverthb4.jpg"}],"country":"Afghanistan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 60,29 ], [ 60,38 ], [ 75,38 ], [ 75,29 ], [ 60,29 ] ] ] } } ] }","contact":"Crustal Geophysics and Geochemistry Science Center
Box 25046, Mail Stop 964
Denver, CO 80225
As part of the U.S. Geological Survey (USGS) and Department of Defense Task Force for Business and Stability Operations (TFBSO) natural resources revitalization activities in Afghanistan (Peters and others, 2011), three new datasets have been collected, compiled, and analyzed. These data have been used to more fully evaluate the areas of interest (AOIs; fig. 1 ) where, on the basis of previous U.S.S.R. and Afghanistan studies, the opportunity for early economic development of a number of different mineral, commodity, and deposit types had been identified (Peters and others, 2007; Peters and others, 2011). The new data compilations include (1) regional magnetic and gravity data for use in the characterization of subsurface composition and structure (Sweeney and others, 2006a,b; Ashan and others, 2007; Sweeney and others, 2007; Ashan and others, 2008; Shenwary and others, 2011), (2) Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data to identify and evaluate surficial alteration patterns related to industrial minerals and other selected targets, and (3) HyMap imaging spectrometer data for characterization and mapping of surficial mineralogy (Cocks and others, 1998; Kokaly and others, 2008; Peters and others, 2011). These datasets have served as fundamental building blocks for the resource evaluation by Peters and others (2011).
During the independent analysis of the geophysical, ASTER, and imaging spectrometer (HyMap) data by USGS scientists, previously unrecognized targets of potential mineralization were identified using evaluation criteria most suitable to the individual dataset. These anomalous zones offer targets of opportunity that warrant additional field verification. This report describes the standards used to define the anomalies, summarizes the results of the evaluations for each type of data, and discusses the importance and implications of regions of anomaly overlap between two or three of the datasets.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111229","collaboration":"Prepared in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations and the Afghanistan Geological Survey","usgsCitation":"King, T.V.V., Johnson, M.R., Hubbard, B.E., and Drenth, B.J., eds., 2011, Identification of mineral resources in Afghanistan—Detecting and mapping resource anomalies in prioritized areas using geophysical and remote sensing (ASTER and HyMap) data: U.S. Geological Survey Open-File Report 2011–1229, 327 p.","productDescription":"Report: vi, 327 p.; Dataset; 4 Figures","additionalOnlineFiles":"Y","costCenters":[{"id":537,"text":"Projects in Afghanistan","active":false,"usgs":true}],"links":[{"id":116565,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2011/1229/coverthb.png"},{"id":370552,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2011/1229/ofr20111229.pdf","text":"Report","size":"193 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1229"},{"id":370553,"rank":3,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2011/1229/report/figures/GEO.zip","text":"Geophysical figures","size":"19.7 MB","linkFileType":{"id":6,"text":"zip"}},{"id":370554,"rank":4,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2011/1229/report/figures/AST.zip","text":"ASTER figures","size":"95.0 MB","linkFileType":{"id":6,"text":"zip"}},{"id":370555,"rank":5,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2011/1229/report/figures/HSD.zip","text":"HyMap hyperspectral figures","size":"251 MB","linkFileType":{"id":6,"text":"zip"}},{"id":370556,"rank":6,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2011/1229/report/figures/Map.zip","text":"Maps","size":"4.65 MB","linkFileType":{"id":6,"text":"zip"}},{"id":370557,"rank":7,"type":{"id":28,"text":"Dataset"},"url":"https://pubs.usgs.gov/of/2011/1229/ofr20111229_dataset.zip","size":"200 KB","linkFileType":{"id":6,"text":"zip"}}],"country":"Afghanistan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 60,29.5 ], [ 60,38.5 ], [ 73.5,38.5 ], [ 73.5,29.5 ], [ 60,29.5 ] ] ] } } ] }","contact":"Visit the USGS Projects in Afghanistan website
","tableOfContents":"Within the last decade, advances in the acquisition, processing and transmission of data from real-time seismic monitoring systems has contributed to the growth in the number structures instrumented with such systems. An equally important factor for such growth can be attributed to the demands by stakeholders to find rapid answers to important questions related to the functionality (or “state of health”) of structures during and immediately following a seismic event. Hence, rapid and accurate assessment of the damage condition or performance of a building or a lifeline structure is of paramount importance to stakeholders, including owners, leasers, permanent and/or temporary occupants, users of infrastructures, city officials and rescue teams that are concerned with safety of those in the building, and those that may be affected in nearby buildings and infrastructures. In earlier papers, we described how observed data from sensors deployed in structures can be configured to establish seismic health monitoring of structures. In these configurations, drift ratios are the main parametric indicator of damage condition of a building. The process described for buildings can be applied directly for bridges as well. For bridges, the term, “drift ratio” is not generally used; however, relative displacements of critical elements of a bridge can be construed as such. While real-time data from structural arrays indicate that these methods are reliable and provide requisite information for owners and other parties to make informed decisions and to choose among pre-defined actions following significant events, there are several issues related to data ownership, transmission and archiving. This paper examines the real-time seismic monitoring systems deployed mainly in the United States, with particular attention to data issues – handling, dissemination, storage, and archiving. In most cases, due to the numerous channels involved, the deployments in each one of the real-time structures can be considered to be an individual array. Two detailed cases are described that demonstrate the variability in data ownership and dissemination.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Earthquake data in engineering seismology: Predictive models, data management and networks","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer Link","doi":"10.1007/978-94-007-0152-6_16","usgsCitation":"Celebi, M., 2011, Real-time seismic monitoring of structures: Data handling and case studies, chap. of Earthquake data in engineering seismology: Predictive models, data management and networks, v. 14, p. 235-245, https://doi.org/10.1007/978-94-007-0152-6_16.","productDescription":"11 p.","startPage":"235","endPage":"245","ipdsId":"IP-017436","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":364937,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","noUsgsAuthors":false,"publicationDate":"2010-11-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Celebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":200969,"corporation":false,"usgs":true,"family":"Celebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[],"preferred":true,"id":849688,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70203883,"text":"70203883 - 2011 - Arsenic in Chinese coals: Distribution, modes of occurrence, and environmental effects","interactions":[],"lastModifiedDate":"2019-06-18T18:27:30","indexId":"70203883","displayToPublicDate":"2019-06-18T18:25:33","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"title":"Arsenic in Chinese coals: Distribution, modes of occurrence, and environmental effects","docAbstract":"Arsenic, one of the most hazardous elements occurring in coals, can be released to the environment during coal processing and combustion. Based on the available literature and published results obtained in our laboratory, the content, distribution and the modes of occurrence of As in Chinese coals, and its environmental and impacts are reviewed in this article. With the 4763 sets of data (from the literature) rearranged, the arithmetic mean As concentration of each province and weighted mean As concentration of the entire country (using the expected coal reserves as the weighting factor) were calculated. The weighted mean As concentration in Chinese coals is 3.18 mg/kg, with As concentration increasing from northern China to southern China. The As concentration in coal varies with coal-forming ages and coal ranks. Arsenic has several modes of occurrence in coals. According to results obtained by other studies and our own experiments, As is mainly associated with mineral matter (such as pyrite and other sulfide minerals) in coals, although a significant amount of arsenic is associated with organic matter. The accumulation of As in coal is controlled by many geological factors during coal-forming processes, including plant decomposition, sedimentary environments, and epigenetic hydrothermal activity. During the combustion of coal, As is released to the air, water, and soil, causing serious environmental pollution. More than 45% of the coal consumed in China is utilized by power plants, and it is estimated that nearly 522 tonnes, 21 tonnes and 252 tonnes of As are emitted into the atmosphere by industries, residential buildings and coal-fired power plants, respectively, every year.
","language":"English","publisher":"Science of the Total Environment","doi":"10.1016/j.scitotenv.2011.10.026","usgsCitation":"Kang, Y., and Liu, G., 2011, Arsenic in Chinese coals: Distribution, modes of occurrence, and environmental effects, v. 412, p. 1-13, https://doi.org/10.1016/j.scitotenv.2011.10.026.","productDescription":"13 p.","startPage":"1","endPage":"13","costCenters":[],"links":[{"id":364805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"412","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kang, Y.","contributorId":54431,"corporation":false,"usgs":true,"family":"Kang","given":"Y.","email":"","affiliations":[],"preferred":false,"id":764581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Guijian","contributorId":216351,"corporation":false,"usgs":false,"family":"Liu","given":"Guijian","email":"","affiliations":[],"preferred":false,"id":764582,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70101104,"text":"70101104 - 2011 - Strong ground motion in Port-au-Prince, Haiti, during the M7.0 12 January 2010 Haiti earthquake","interactions":[],"lastModifiedDate":"2017-01-19T12:02:48","indexId":"70101104","displayToPublicDate":"2016-12-01T12:53:51","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Strong ground motion in Port-au-Prince, Haiti, during the M7.0 12 January 2010 Haiti earthquake","docAbstract":"Since the days of MacArthur, three-dimensional (3-D) structural information on the environment has fundamentally transformed scientific understanding of ecological phenomena (MacArthur and MacArthur 1961). Early data on ecosystem structure were painstakingly laborious to collect. However, as reviewed and reported in recent volumes of Frontiers(eg Vierling et al. 2008; Asner et al.2011), advances in light detection and ranging (LiDAR) remote-sensing technology provide quantitative and repeatable measurements of 3-D ecosystem structure that enable novel ecological insights at scales ranging from the plot, to the landscape, to the globe. Indeed, annual publication of studies using LiDAR to interpret ecological phenomena increased 17-fold during the past decade, with over 180 new studies appearing in 2010 (ISI Web of Science search conducted on 23 Mar 2011: [{lidar AND ecol*} OR {lidar AND fores*} OR {lidar AND plant*}]).
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/11.WB.009","usgsCitation":"Vierling, L.A., Martinuzzi, S., Asner, G.P., Stoker, J.M., and Johnson, B.R., 2011, LiDAR: Providing structure : Frontiers in Ecology and the Environment, v. 9, no. 5, p. 261-262, https://doi.org/10.1890/11.WB.009.","productDescription":"2 p.","startPage":"261","endPage":"262","ipdsId":"IP-028995","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":333462,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5881dedce4b01192927d9f93","contributors":{"authors":[{"text":"Vierling, Lee A.","contributorId":169443,"corporation":false,"usgs":false,"family":"Vierling","given":"Lee","email":"","middleInitial":"A.","affiliations":[{"id":6711,"text":"University of Idaho, Moscow ID","active":true,"usgs":false}],"preferred":false,"id":659028,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martinuzzi, Sebastián","contributorId":68180,"corporation":false,"usgs":true,"family":"Martinuzzi","given":"Sebastián","affiliations":[],"preferred":false,"id":659029,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Asner, Gregory P.","contributorId":25393,"corporation":false,"usgs":false,"family":"Asner","given":"Gregory","email":"","middleInitial":"P.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":659030,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stoker, Jason M. 0000-0003-2455-0931 jstoker@usgs.gov","orcid":"https://orcid.org/0000-0003-2455-0931","contributorId":3021,"corporation":false,"usgs":true,"family":"Stoker","given":"Jason","email":"jstoker@usgs.gov","middleInitial":"M.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":659031,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Brian R.","contributorId":178466,"corporation":false,"usgs":false,"family":"Johnson","given":"Brian","email":"","middleInitial":"R.","affiliations":[{"id":16880,"text":"National Ecological Observatory Network (NEON), 1685 38th St., Boulder, CO 80301, USA","active":true,"usgs":false}],"preferred":false,"id":659032,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70171362,"text":"70171362 - 2011 - Distribution and abundance of stream fishes in relation to barriers: implications for monitoring stream recovery after barrier removal","interactions":[],"lastModifiedDate":"2016-05-27T14:12:14","indexId":"70171362","displayToPublicDate":"2016-01-18T05:15:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Distribution and abundance of stream fishes in relation to barriers: implications for monitoring stream recovery after barrier removal","docAbstract":"Dams are ubiquitous in coastal regions and have altered stream habitats and the distribution and abundance of stream fishes in those habitats by disrupting hydrology, temperature regime and habitat connectivity. Dam removal is a common restoration tool, but often the response of the fish assemblage is not monitored rigorously. Sedgeunkedunk Stream, a small tributary to the Penobscot River (Maine, USA), has been the focus of a restoration effort that includes the removal of two low-head dams. In this study, we quantified fish assemblage metrics along a longitudinal gradient in Sedgeunkedunk Stream and also in a nearby reference stream. By establishing pre-removal baseline conditions and associated variability and the conditions and variability immediately following removal, we can characterize future changes in the system associated with dam removal. Over 2 years prior to dam removal, species richness and abundance in Sedgeunkedunk Stream were highest downstream of the lowest dam, lowest immediately upstream of that dam and intermediate farther upstream; patterns were similar in the reference stream. Although seasonal and annual variation in metrics within each site was substantial, the overall upstream-to-downstream pattern along the stream gradient was remarkably consistent prior to dam removal. Immediately after dam removal, we saw significant decreases in richness and abundance downstream of the former dam site and a corresponding increase in fish abundance upstream of the former dam site. No such changes occurred in reference sites. Our results show that by quantifying baseline conditions in a small stream before restoration, the effects of stream restoration efforts on fish assemblages can be monitored successfully. These data set the stage for the long-term assessment of Sedgeunkedunk Stream and provide a simple methodology for assessment in other restoration projects.
","language":"English","publisher":"Wiley Online","doi":"10.1002/rra.1572","usgsCitation":"Zydlewski, J.D., Coghlan, S.M., Gardner, C., and Saunders, R., 2011, Distribution and abundance of stream fishes in relation to barriers: implications for monitoring stream recovery after barrier removal: River Research and Applications, v. 29, no. 1, p. 65-78, https://doi.org/10.1002/rra.1572.","productDescription":"13 p.","startPage":"65","endPage":"78","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026736","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":321835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","county":"Penobscot","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -68.99757385253906,\n 44.56454494930599\n ],\n [\n -68.99757385253906,\n 44.800839614637205\n ],\n [\n -68.52104187011719,\n 44.800839614637205\n ],\n [\n -68.52104187011719,\n 44.56454494930599\n ],\n [\n -68.99757385253906,\n 44.56454494930599\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2011-08-22","publicationStatus":"PW","scienceBaseUri":"57496faee4b07e28b665cc56","contributors":{"authors":[{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":630717,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coghlan, Stephen M. Jr.","contributorId":169678,"corporation":false,"usgs":false,"family":"Coghlan","given":"Stephen","suffix":"Jr.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":630739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gardner, C.","contributorId":57402,"corporation":false,"usgs":true,"family":"Gardner","given":"C.","affiliations":[],"preferred":false,"id":630740,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saunders, R.","contributorId":94243,"corporation":false,"usgs":true,"family":"Saunders","given":"R.","affiliations":[],"preferred":false,"id":630741,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70042134,"text":"70042134 - 2011 - LANDFIRE 2001 and 2008 Refresh Geographic Area Report--Pacific Southwest","interactions":[],"lastModifiedDate":"2017-01-18T13:42:44","indexId":"70042134","displayToPublicDate":"2015-07-13T12:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"LANDFIRE 2001 and 2008 Refresh Geographic Area Report--Pacific Southwest","docAbstract":"The LANDFIRE National project (LF_1.0.0) was successfully completed in 2009. The goal of LANDFIRE National was to generate consistent 2001 vintage 30 meter spatial data sets for all 50 states for fire and other natural resource applications. This report highlights results from the continuation of LANDFIRE as a program to update the spatial data layers through 2008. The focus of this phase of the program was to improve the data products and account for vegetation change across the landscape caused by wildland fire, fuel and vegetation treatments, and (or) management. In addition, changes caused by insects and disease, storms, invasive plants, and other natural or anthropogenic events were incorporated when appropriate data were available. This report describes the LANDFIRE 2001/2008 Refresh effort to update existing map layers to reflect more current conditions, focusing primarily on vegetation changes. The effort incorporated user feedback and new data, producing two comprehensive Refresh data product sets:
\n
1. LANDFIRE 2001 Refresh (LF_1.0.5) enhanced LANDFIRE map layers by incorporating user feedback and additional data to provide a foundation to update data to 2008. It was also designed to provide users with a data set to help facilitate comparisons between 2001 and 2008 (i.e. Refresh LF_1.1.0) data sets.
2. LANDFIRE 2008 Refresh (LF_1.1.0) updated map layers to reflect vegetation changes and disturbances that occurred between 1999 and 2008.
\n
In this report, we (1) address the background and provide details pertaining to why there are two Refresh data sets, (2) explain the requirements, planning, and procedures behind the completion and delivery of the updated products for each of the data product sets, (3) show and describe results, and (4) provide case studies illustrating the performance of LANDFIRE National, LANDFIRE 2001 Refresh and LANDFIRE 2008 Refresh (LF_1.1.0) data products on some example wildland fires.
On June 29, 2009, NASA and the Ministry of Economy, Trade and Industry (METI) of Japan released a Global Digital Elevation Model (GDEM) to users worldwide at no charge as a contribution to the Global Earth Observing System of Systems (GEOSS). This “version 1” ASTER GDEM (GDEM1) was compiled from over 1.2 million scenebased DEMs covering land surfaces between 83°N and 83°S latitudes. A joint U.S.-Japan validation team assessed the accuracy of the GDEM1, augmented by a team of 20 cooperators. The GDEM1 was found to have an overall accuracy of around 20 meters at the 95% confidence level. The team also noted several artifacts associated with poor stereo coverage at high latitudes, cloud contamination, water masking issues and the stacking process used to produce the GDEM1 from individual scene-based DEMs (ASTER GDEM Validation Team, 2009). Two independent horizontal resolution studies estimated the effective spatial resolution of the GDEM1 to be on the order of 120 meters.
\nA second version of the ASTER GDEM (GDEM2) is scheduled for release by NASA and METI in mid-October, 2011. Improvements in the GDEM2 result from acquiring 260,000 additional scenes to improve coverage, a smaller correlation kernel to yield higher spatial resolution, and improved water masking. As with the GDEM1, the GDEM2 validation was performed by the U.S. and Japanese partners. Vertical accuracy assessments included a comparison of the GDEM2 against absolute geodetic references over the Conterminous US (CONUS), against national elevation grids over the US and Japan, against the Shuttle Radar Topography Mission (SRTM) 1 arc-second elevation grids over the US and 20 sites around the globe, and against space borne laser altimeter data globally. Horizontal accuracy assessments were conducted as part of the Japan and the global SRTM studies, and horizontal resolution studies were conducted in both Japan and the US. Each group documented changes in artifacts in GDEM2 due to processing improvements.
\nThe absolute vertical accuracy study found the GDEM2 to be within -0.20 meters on average when compared against 18,000 geodetic control points over the CONUS, with an accuracy of 17 meters at the 95% confidence level. The Japan study noted the GDEM2 differed from the 10-meter national elevation grid by -0.7 meters over bare areas, and by 7.4 meters over forested areas. Similarly, the CONUS study noted the GDEM2 to be about 8 meters above the 1 arc-second NED over most forested areas, and more than a meter below NED over bare areas. The global altimeter study found the GDEM2 to be on average within 3 meters of altimeter-derived control, and also documented sensitivity to tree canopy height. The Japan study noted that the horizontal displacement in GDEM1 of 0.95 pixels was reduced to 0.23 pixels in GDEM2. Both teams noted improvements in horizontal resolution, between 71 and 82 meters, comparable to the SRTM 1 arc second elevation model, but at the cost of some increased noise. The number of voids and artifacts noted in GDEM1 were substantially reduced in GDEM2, and in some areas virtually eliminated.
\nBased on these findings, the GDEM validation team recommends the release of the GDEM2 to the public, acknowledging that, while vastly improved, some artifacts still exist which could affect its utility in certain applications.
","language":"English","publisher":"NASA","usgsCitation":"Tachikawa, T., Kaku, M., Iwasaki, A., Gesch, D.B., Oimoen, M.J., Zhang, Z., Danielson, J.J., Krieger, T., Curtis, B., Haase, J., Abrams, M., and Carabajal, C., 2011, ASTER Global Digital Elevation Model Version 2 - summary of validation results (2), 27 p.","productDescription":"27 p","numberOfPages":"27","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032819","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":310885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":310884,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://asterweb.jpl.nasa.gov/gdem.asp"}],"edition":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56389741e4b0d6133fe72f94","contributors":{"compilers":[{"text":"Meyer, Dave","contributorId":149614,"corporation":false,"usgs":false,"family":"Meyer","given":"Dave","email":"","affiliations":[],"preferred":false,"id":578959,"contributorType":{"id":3,"text":"Compilers"},"rank":1}],"authors":[{"text":"Tachikawa, Tetushi","contributorId":149604,"corporation":false,"usgs":false,"family":"Tachikawa","given":"Tetushi","email":"","affiliations":[],"preferred":false,"id":578947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaku, Manabu","contributorId":149605,"corporation":false,"usgs":false,"family":"Kaku","given":"Manabu","email":"","affiliations":[],"preferred":false,"id":578948,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iwasaki, Akira","contributorId":149606,"corporation":false,"usgs":false,"family":"Iwasaki","given":"Akira","email":"","affiliations":[],"preferred":false,"id":578949,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gesch, Dean B. 0000-0002-8992-4933 gesch@usgs.gov","orcid":"https://orcid.org/0000-0002-8992-4933","contributorId":2956,"corporation":false,"usgs":true,"family":"Gesch","given":"Dean","email":"gesch@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":578950,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oimoen, Michael J. 0000-0003-3611-6227 oimoen@usgs.gov","orcid":"https://orcid.org/0000-0003-3611-6227","contributorId":4757,"corporation":false,"usgs":true,"family":"Oimoen","given":"Michael","email":"oimoen@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center 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gears on the flathead catfish Pylodictis olivaris population. Managers were particularly interested in the effect of handfishing or noodling on this population. I used a phone survey to assess angler effort and electrofishing and gill nets to calculate standard population metrics to assess composition of the current population. Survey data indicated that fishing effort and harvest were highest for trotlines and juglines and lowest for noodling. Size distribution of fish harvested by noodlers was not different from sizes that were available in the fishery and was similar to those fish harvested with other gears. Flathead catfish Sampled in Lake Carl Blackwell ranged in size from 38 to 1,220 mm total length, and 77% of the population was less than 508 mm (minimum legal size). Estimated total annual mortality was about 11%. Proportional size distribution (PSD) of flathead catfish for Lake Carl Blackwell indicates that about 70% of legal-sized flathead catfish were over the preferred size of 710 mm. Overall, the Lake Carl Blackwell flathead catfish population appeared healthy. There were a wide range of sizes and ages in the population, and PSD indicated a well-balanced population with many preferred and memorable-sized fish. Due to its rarity, noodling is probably not adversely influencing the population. Additionally, noodling at Lake Carl Blackwell does not appear to be as size-selective as previously thought.
","largerWorkTitle":"Conservation, Ecology, and Management of Catfish: The Second International Symposium","language":"English","publisher":"American Fisheries Society","isbn":"978-1-934874-25-7","usgsCitation":"Winkelman, D.L., 2011, Evaluation of the flathead catfish population and fishery on Lake Carl Blackwell, Oklahoma, with emphasis on the effects of noodling, chap. of Conservation, Ecology, and Management of Catfish: The Second International Symposium, 10 p.","productDescription":"10 p.","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-030292","costCenters":[],"links":[{"id":311045,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":311044,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://fisheries.org/shop/54077c"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Lake Carl Blackwell","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.31071472167969,\n 36.097938036628065\n ],\n [\n -97.31071472167969,\n 36.16227046727886\n ],\n [\n -97.174072265625,\n 36.16227046727886\n ],\n [\n -97.174072265625,\n 36.097938036628065\n ],\n [\n -97.31071472167969,\n 36.097938036628065\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"563c8bbbe4b0831b7d61efea","contributors":{"editors":[{"text":"Michaletz, Paul H.","contributorId":111870,"corporation":false,"usgs":true,"family":"Michaletz","given":"Paul","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":579389,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Travnichek, Vincent H.","contributorId":111523,"corporation":false,"usgs":true,"family":"Travnichek","given":"Vincent","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":579390,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":579388,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70004342,"text":"70004342 - 2011 - Measuring the impacts of natural amenities and the US-Mexico Border, on housing values in the Santa Cruz Watershed, using spatially-weighted hedonic modeling","interactions":[],"lastModifiedDate":"2015-11-05T12:52:21","indexId":"70004342","displayToPublicDate":"2015-07-06T09:15:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Measuring the impacts of natural amenities and the US-Mexico Border, on housing values in the Santa Cruz Watershed, using spatially-weighted hedonic modeling","docAbstract":"Assessing the sustainability of International policy or urban development requires consideration of the impacts of these decisions on Ecosystem Services, or the values that humans receive from the ecosystem, including market-land price, environmental, and human well-being values. Hedonic modeling helps to identify the market land price, considering the price is determined by multiple factors affecting it. In U.S. portions of the bi-national Santa Cruz Watershed (SCW), situated at the Arizona-Sonora International border, natural amenities like the riparian corridor and green space have been documented as positive amenities that boost local real estate.
\nThe goal of this research is to isolate the effects of the US-Mexico border and known environmental or natural amenities or disamenities on housing prices in the binational watershed, while controlling for housing stock characteristics and social-environmental vulnerability. In the ultimate analysis, the mean house values within census blocks will be used to represent local housing stock. A human well-being index that measures people’s socio-environmental vulnerability for the entire SCW is in publication that is based on access to infrastructure, number of bedrooms per house and other social data from the binational census and local colonias database will also be compared. The hedonic pricing method will be applied to statistically estimate a function that relates property values to the variables described.
\nThis presentation will provide a synopsis of the quality of life and hedonics literature review used to develop this research agenda. Variables relevant for local environmental management, having significant effects on property values, will be discussed. The final results obtained from this study can be used determine the benefits of preserving or developing land binationally and will be uploaded to the Santa Cruz Watershed Ecosystem Portfolio Model (SCWEPM), an online Ecosystem Services tool, being created to promote sustainable development in the Borderlands.
","largerWorkTitle":"Proceedings of Santa Cruz River Researchers' Day","conferenceTitle":"Santa Cruz River: Researchers’ Day","conferenceDate":"March 29, 2011","conferenceLocation":"Tucson, AZ","publisher":"Sonoran Institute","usgsCitation":"Amaya, G., Norman, L.M., and Frisvold, G., 2011, Measuring the impacts of natural amenities and the US-Mexico Border, on housing values in the Santa Cruz Watershed, using spatially-weighted hedonic modeling, in Proceedings of Santa Cruz River Researchers' Day, Tucson, AZ, March 29, 2011.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-028456","costCenters":[],"links":[{"id":311050,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":311049,"rank":1,"type":{"id":1,"text":"Abstract"},"url":"https://www.sonoraninstitute.org/images/stories/pdfs/Events/SCRResearchDays/scrrd%202011%20proceedings.pdf"}],"country":"Mexico, United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"563c8bbfe4b0831b7d61eff5","contributors":{"authors":[{"text":"Amaya, Gladys","contributorId":86212,"corporation":false,"usgs":true,"family":"Amaya","given":"Gladys","email":"","affiliations":[],"preferred":false,"id":579400,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":579401,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frisvold, George","contributorId":9569,"corporation":false,"usgs":true,"family":"Frisvold","given":"George","email":"","affiliations":[],"preferred":false,"id":579402,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70004579,"text":"70004579 - 2011 - Merging climate and multi-sensor time-series data in real-time drought monitoring across the U.S.A.","interactions":[],"lastModifiedDate":"2018-02-21T12:56:41","indexId":"70004579","displayToPublicDate":"2015-07-05T00:15:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Merging climate and multi-sensor time-series data in real-time drought monitoring across the U.S.A.","docAbstract":"Droughts occur repeatedly in the United States resulting in billions of dollars of damage. Monitoring and reporting on drought conditions is a necessary function of government agencies at multiple levels. A team of Federal and university partners developed a drought decision- support tool with higher spatial resolution relative to traditional climate-based drought maps. The Vegetation Drought Response Index (VegDRI) indicates general canopy vegetation condition assimilation of climate, satellite, and biophysical data via geospatial modeling. In VegDRI, complementary drought-related data are merged to provide a comprehensive, detailed representation of drought stress on vegetation. Time-series data from daily polar-orbiting earth observing systems [Advanced Very High Resolution Radiometer (AVHRR) and Moderate Resolution Imaging Spectroradiometer (MODIS)] providing global measurements of land surface conditions are ingested into VegDRI. Inter-sensor compatibility is required to extend multi-sensor data records; thus, translations were developed using overlapping observations to create consistent, long-term data time series.
","largerWorkTitle":"34th International Symposium on Remote Sensing of Environment: The GEOSS Era: Towards Operational Environmental Monitoring","conferenceTitle":"34th International Symposium on Remote Sensing of Environment","conferenceDate":"April 10-15, 2011","conferenceLocation":"Sydney, Australia","language":"English","usgsCitation":"Brown, J.F., Miura, T., Wardlow, B., and Gu, Y., 2011, Merging climate and multi-sensor time-series data in real-time drought monitoring across the U.S.A., in 34th International Symposium on Remote Sensing of Environment: The GEOSS Era: Towards Operational Environmental Monitoring, Sydney, Australia, April 10-15, 2011, 5 p.","productDescription":"5 p.","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-027351","costCenters":[],"links":[{"id":311039,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":311040,"rank":1,"type":{"id":15,"text":"Index 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States\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"563c8bc0e4b0831b7d61eff7","contributors":{"authors":[{"text":"Brown, Jesslyn F. 0000-0002-9976-1998 jfbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-9976-1998","contributorId":3241,"corporation":false,"usgs":true,"family":"Brown","given":"Jesslyn","email":"jfbrown@usgs.gov","middleInitial":"F.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":579303,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miura, T.","contributorId":149745,"corporation":false,"usgs":false,"family":"Miura","given":"T.","email":"","affiliations":[{"id":17202,"text":"University of Hawaii, Manoa","active":true,"usgs":false}],"preferred":false,"id":579304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wardlow, B.","contributorId":56863,"corporation":false,"usgs":false,"family":"Wardlow","given":"B.","email":"","affiliations":[{"id":12505,"text":"University of Nebraska - Lincoln","active":true,"usgs":false}],"preferred":false,"id":579305,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":139586,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":579306,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70004585,"text":"sir20115004 - 2011 - Concentrations, loads, and sources of polychlorinated biphenyls, Neponset River and Neponset River Estuary, eastern Massachusetts","interactions":[],"lastModifiedDate":"2014-06-25T08:48:17","indexId":"sir20115004","displayToPublicDate":"2014-06-08T10:50:00","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":"2011-5004","title":"Concentrations, loads, and sources of polychlorinated biphenyls, Neponset River and Neponset River Estuary, eastern Massachusetts","docAbstract":"Polychlorinated biphenyls (PCBs) are known to contaminate the Neponset River, which flows through parts of Boston, Massachusetts, and empties into the Neponset River Estuary, an important fish-spawning area. The river is dammed and impassable to fish. The U.S. Geological Survey, in cooperation with the Massachusetts Department of Fish and Game, Division of Ecological Restoration, Riverways Program, collected, analyzed, and interpreted PCB data from bottom-sediment, water, and (or) fish-tissue samples in 2002, 2004-2006. Samples from the Neponset River and Neponset River Estuary were analyzed for 209 PCB congeners, PCB homologs, and Aroclors. In order to better assess the overall health quality of river-bottom sediments, sediment samples were also tested for concentrations of 31 elements.
\nPCB concentrations measured in the top layers of bottom sediment ranged from 28 nanograms per gram (ng/g) just upstream of the Mother Brook confluence to 24,900 ng/g measured in Mother Brook. Concentrations of elements in bottom sediment were generally higher than background concentrations and higher than levels considered toxic to benthic organisms according to freshwater sediment-quality guidelines defined by the U.S. Environmental Protection Agency. Concentrations of dissolved PCBs in water samples collected from the Neponset River (May 13, 2005 to April 28, 2006) averaged about 9.2 nanograms per liter (ng/L) (annual average of monthly values); however, during the months of August (about 16.5 ng/L) and September (about 15.6 ng/L), dissolved PCB concentrations were greater than 14 ng/L, the U.S. Environmental Protection Agency's freshwater continuous chronic criterion for aquatic organisms. Concentrations of PCBs in white sucker (fillets and whole fish) were all greater than 2,000 ng/g wet wt, the U.S. Environmental Protection Agency's guideline for safe consumption of fish: PCB concentrations measured in fish-tissue samples collected from the Tileston and Hollingsworth and Walter Baker Impoundments were 3,490 and 2,450 ng/g wet wt (filleted) and 6,890 and 4,080 ng/g wet wt (whole fish). Total PCB-congener concentrations measured in the whole bodies of estuarine bait fish (common mummichog) averaged 708 ng/g wet wt.
\nPCBs that pass from the Neponset River to the Neponset River Estuary are either dissolved or associated with particulate matter (including living and nonliving material) suspended in the water column. A small proportion of PCBs may also be transported as part of the body burden of fish and wildlife. During the period May 13, 2005 to April 28, 2006, about 5,100 g (3.8 L or 1 gal) of PCBs were transported from the Neponset River to the Neponset River Estuary. Generally, about one-half of these PCBs were dissolved in the water column and the other half were associated with particulate matter; however, the proportion that was either dissolved or particulate varied seasonally. Most PCBs transported from the river to the estuary are composed of four or fewer chlorine atoms per biphenyl molecule.
\nThe data suggest that widespread PCB contamination of the lower Neponset River originated from Mother Brook, a Neponset River tributary, starting sometime around the early 1950s or earlier. In 1955, catastrophic dam failure caused by flooding likely released PCB-contaminated sediment downstream and into the Neponset River Estuary. PCBs from this source area likely continued to be released after the flood and during subsequent rebuilding of downstream dams. Today (2007), PCBs are mostly trapped behind these dams; however, some PCBs either diffuse or are entrained back into the water column and are transported downstream by river water into the estuary or volatilize into the atmosphere. In addition to the continuing release of PCBs from historically contaminated bottom sediment, PCBs are still (2007) originating from source areas along Mother and Meadow Brook as well as other sources along the river and Boston Harbor. PCBs from the river (transported by river water) and from the harbor (transported by tidal action) appear to have contaminated parts of the Neponset River Estuary.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115004","collaboration":"Prepared in cooperation with the Massachusetts Department of Fish and Game, Division of Ecological Restoration, Riverways Program","usgsCitation":"Breault, R., 2011, Concentrations, loads, and sources of polychlorinated biphenyls, Neponset River and Neponset River Estuary, eastern Massachusetts (Originally posted June 8, 2011; Version 1.1: June 24, 2014): U.S. Geological Survey Scientific Investigations Report 2011-5004, Report: x, 143 p.; Appendixes 1-5, https://doi.org/10.3133/sir20115004.","productDescription":"Report: x, 143 p.; Appendixes 1-5","numberOfPages":"157","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":116612,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5004.jpg"},{"id":21858,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5004/","linkFileType":{"id":5,"text":"html"}},{"id":289031,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2011/5004/pdf/sir2011-5004_appx2_508.pdf"},{"id":289029,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5004/pdf/sir2011-5004.pdf"},{"id":289030,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2011/5004/pdf/sir2011-5004_appx1_508.pdf"},{"id":289032,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2011/5004/pdf/sir2011-5004_appx3_508.pdf"},{"id":289033,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2011/5004/pdf/sir2011-5004_appx4_508.pdf"},{"id":289034,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2011/5004/pdf/sir2011-5004_appx5_508.pdf"}],"projection":"Lambert conformal conic projection","datum":"North American Datum of 1983","country":"United States","state":"Massachusetts","otherGeospatial":"Neponset River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.333333,42.166667 ], [ -71.333333,42.333333 ], [ -71.0,42.333333 ], [ -71.0,42.166667 ], [ -71.333333,42.166667 ] ] ] } } ] }","edition":"Originally posted June 8, 2011; Version 1.1: June 24, 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b7b0d5e4b0388651d9168e","contributors":{"authors":[{"text":"Breault, Robert F. 0000-0002-2517-407X rbreault@usgs.gov","orcid":"https://orcid.org/0000-0002-2517-407X","contributorId":2219,"corporation":false,"usgs":true,"family":"Breault","given":"Robert F.","email":"rbreault@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350803,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70159491,"text":"70159491 - 2011 - Remote sensing of soil moisture using airborne hyperspectral data","interactions":[],"lastModifiedDate":"2015-11-12T12:08:37","indexId":"70159491","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1722,"text":"GIScience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing of soil moisture using airborne hyperspectral data","docAbstract":"Landscape assessment of soil moisture is critical to understanding the hydrological cycle at the regional scale and in broad-scale studies of biophysical processes affected by global climate changes in temperature and precipitation. Traditional efforts to measure soil moisture have been principally restricted to in situ measurements, so remote sensing techniques are often employed. Hyperspectral sensors with finer spatial resolution and narrow band widths may offer an alternative to traditional multispectral analysis of soil moisture, particularly in landscapes with high spatial heterogeneity. This preliminary research evaluates the ability of remotely sensed hyperspectral data to quantify soil moisture for the Little River Experimental Watershed (LREW), Georgia. An airborne hyperspectral instrument with a short-wavelength infrared (SWIR) sensor was flown in 2005 and 2007 and the results were correlated to in situ soil moisture values. A significant statistical correlation (R 2 value above 0.7 for both sampling dates) for the hyperspectral instrument data and the soil moisture probe data at 5.08 cm (2 inches) was determined. While models for the 20.32 cm (8 inches) and 30.48 cm (12 inches) depths were tested, they were not able to estimate soil moisture to the same degree.
","language":"English","publisher":"Taylor and Francis","doi":"10.2747/1548-1603.48.4.522","usgsCitation":"Finn, M.P., Lewis, M., Bosch, D.D., Giraldo, M., Yamamoto, K.H., Sullivan, D.G., Kincaid, R., Luna, R., Allam, G.K., Kvien, C., and Williams, M.S., 2011, Remote sensing of soil moisture using airborne hyperspectral data: GIScience and Remote Sensing, v. 48, no. 4, p. 522-540, https://doi.org/10.2747/1548-1603.48.4.522.","productDescription":"19 p.","startPage":"522","endPage":"540","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-027730","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":311209,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2013-05-15","publicationStatus":"PW","scienceBaseUri":"5645c64de4b0e2669b30f214","contributors":{"authors":[{"text":"Finn, Michael P. 0000-0003-0415-2194 mfinn@usgs.gov","orcid":"https://orcid.org/0000-0003-0415-2194","contributorId":2657,"corporation":false,"usgs":true,"family":"Finn","given":"Michael","email":"mfinn@usgs.gov","middleInitial":"P.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":579210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewis, Mark (David)","contributorId":149811,"corporation":false,"usgs":false,"family":"Lewis","given":"Mark (David)","affiliations":[],"preferred":false,"id":579666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bosch, David D.","contributorId":149812,"corporation":false,"usgs":false,"family":"Bosch","given":"David","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":579667,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Giraldo, Mario","contributorId":66094,"corporation":false,"usgs":true,"family":"Giraldo","given":"Mario","email":"","affiliations":[],"preferred":false,"id":579668,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yamamoto, Kristina H. khyamamoto@usgs.gov","contributorId":4490,"corporation":false,"usgs":true,"family":"Yamamoto","given":"Kristina","email":"khyamamoto@usgs.gov","middleInitial":"H.","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":579669,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sullivan, Dana G.","contributorId":149813,"corporation":false,"usgs":false,"family":"Sullivan","given":"Dana","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":579670,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kincaid, Russell","contributorId":149814,"corporation":false,"usgs":false,"family":"Kincaid","given":"Russell","email":"","affiliations":[],"preferred":false,"id":579671,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Luna, Ronaldo","contributorId":64970,"corporation":false,"usgs":true,"family":"Luna","given":"Ronaldo","email":"","affiliations":[],"preferred":false,"id":579672,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Allam, Gopala Krishna","contributorId":149815,"corporation":false,"usgs":false,"family":"Allam","given":"Gopala","email":"","middleInitial":"Krishna","affiliations":[],"preferred":false,"id":579673,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kvien, Craig","contributorId":33434,"corporation":false,"usgs":true,"family":"Kvien","given":"Craig","email":"","affiliations":[],"preferred":false,"id":579674,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Williams, Michael S.","contributorId":149816,"corporation":false,"usgs":false,"family":"Williams","given":"Michael","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":579675,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70121650,"text":"70121650 - 2011 - Multilocus phylogeography and population structure of common eiders breeding in North America and Scandinavia","interactions":[],"lastModifiedDate":"2021-03-31T13:30:07.436538","indexId":"70121650","displayToPublicDate":"2013-08-25T09:25:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Multilocus phylogeography and population structure of common eiders breeding in North America and Scandinavia","docAbstract":"Aim Glacial refugia during the Pleistocene had major impacts on the levels and spatial apportionment of genetic diversity of species in northern latitude ecosystems. We characterized patterns of population subdivision, and tested hypotheses associated with locations of potential Pleistocene refugia and the relative contribution of these refugia to the post-glacial colonization of North America and Scandinavia by common eiders (Somateria mollissima). Specifically, we evaluated localities hypothesized as ice-free areas or glacial refugia for other Arctic vertebrates, including Beringia, the High Arctic Canadian Archipelago, Newfoundland Bank, Spitsbergen Bank and north-west Norway.
Location Alaska, Canada, Norway and Sweden.
Methods Molecular data from 12 microsatellite loci, the mitochondrial DNA (mtDNA) control region, and two nuclear introns were collected and analysed for 15 populations of common eiders (n = 716) breeding throughout North America and Scandinavia. Population genetic structure, historical population fluctuations and gene flow were inferred using F-statistics, analyses of molecular variance, and multilocus coalescent analyses.
Results Significant inter-population variation in allelic and haplotypic frequencies were observed (nuclear DNA FST = 0.004–0.290; mtDNA ΦST = 0.051–0.927). Whereas spatial differentiation in nuclear genes was concordant with subspecific designations, geographic proximity was more predictive of inter-population variance in mitochondrial DNA haplotype frequency. Inferences of historical population demography were consistent with restriction of common eiders to four geographic areas during the Last Glacial Maximum: Belcher Islands, Newfoundland Bank, northern Alaska and Svalbard. Three of these areas coincide with previously identified glacial refugia: Newfoundland Bank, Beringia and Spitsbergen Bank. Gene-flow and clustering analyses indicated that the Beringian refugium contributed little to common eider post-glacial colonization of North America, whereas Canadian, Scandinavian and southern Alaskan post-glacial colonization is likely to have occurred in a stepwise fashion from the same glacial refugium.
Main conclusions Concordance of proposed glacial refugia used by common eiders and other Arctic species indicates that Arctic and subarctic refugia were important reservoirs of genetic diversity during the Pleistocene. Furthermore, suture zones identified at MacKenzie River, western Alaska/Aleutians and Scandinavia coincide with those identified for other Arctic vertebrates, suggesting that these regions were strong geographic barriers limiting dispersal from Pleistocene refugia.
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Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":499250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology 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Network","interactions":[],"lastModifiedDate":"2014-09-08T09:42:51","indexId":"fs20113137","displayToPublicDate":"2013-02-04T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3137","subseriesTitle":"Decision Support for Coastal Science and Management","title":"Lidar vegetation mapping in national parks: Gulf Coast Network","docAbstract":"Airborne lidar (Light Detection and Ranging) is an active remote sensing technique used to collect accurate elevation data over large areas. Lidar provides an extremely high level of regional topographic detail, which makes this technology an essential component of U.S. Geological Survey (USGS) science strategy. The USGS Coastal and Marine Geology Program (CMGP) has collaborated with the National Aeronautics and Space Administration (NASA) and the National Park Service (NPS) to acquire dense topographic lidar data in a variety of coastal environments.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113137","collaboration":"Decision Support for Coastal Science and Management","usgsCitation":"Brock, J., Palaseanu-Lovejoy, M., and Segura, M., 2011, Lidar vegetation mapping in national parks: Gulf Coast Network: U.S. Geological Survey Fact Sheet 2011-3137, 2 p., https://doi.org/10.3133/fs20113137.","productDescription":"2 p.","additionalOnlineFiles":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":266915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3137.jpg"},{"id":266913,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3137/"},{"id":266914,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2011/3137/pdf/fs2011-3137.pdf"}],"country":"United States","state":"Louisiana","otherGeospatial":"Jean Lafitte National Historical Park And Preserve","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.4175,29.7411 ], [ -92.4175,30.4934 ], [ -89.9149,30.4934 ], [ -89.9149,29.7411 ], [ -92.4175,29.7411 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5110d85fe4b036117656389b","contributors":{"authors":[{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":472913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palaseanu-Lovejoy, Monica 0000-0002-3786-5118 mpal@usgs.gov","orcid":"https://orcid.org/0000-0002-3786-5118","contributorId":3639,"corporation":false,"usgs":true,"family":"Palaseanu-Lovejoy","given":"Monica","email":"mpal@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":472914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Segura, Martha","contributorId":77939,"corporation":false,"usgs":true,"family":"Segura","given":"Martha","email":"","affiliations":[],"preferred":false,"id":472915,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70047224,"text":"70047224 - 2011 - Electrofishing and the effects of depletion sampling on fish health: A review and recommendations for additional study","interactions":[],"lastModifiedDate":"2016-04-06T15:57:47","indexId":"70047224","displayToPublicDate":"2013-01-01T15:16:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Electrofishing and the effects of depletion sampling on fish health: A review and recommendations for additional study","docAbstract":"Depletion sampling in combination with multiple-pass electrofishing is an important fisheries management tool for wadeable streams. This combination of techniques has been used routinely by federal and state fishery management agencies for several decades as a reliable means to obtain quantitative data on trout populations or to describe fish community structure. In this paper we review the effects of electrofishing on fish and discuss this within the context of depletion sampling and multiple exposures of fishes to electric fields. The multiple wave forms most commonly used in sampling (alternating current, direct current, and pulsed direct current) are discussed as well as electrofishing induced response, injury and physiological stress. Fish that survive electrofishing injuries are more likely to suffer short and long-term adverse effects to their behavior, health, growth, or reproduction. Of greatest concern are the native, non-target species that may be subjected to multiple electrical shocks during the course of a 3-pass depletion survey. These exposures and their effects on the non-target species warrant further study as do the overall effects of electrofishing on populations and community structure.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Bridging America and Russia with shared perspectives on aquatic animal health: Proceedings of the Third Bilateral Conference between Russia and the United States","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Third Bilateral Conference Between Russia and the United States, Aquatic Animal Health 2009","conferenceDate":"July 12-20, 2009","conferenceLocation":"Shepherdstown, WV","language":"English","publisher":"Khaled bin Sultan Living Oceans Foundation","publisherLocation":"Landover, MD","isbn":"978-0-9835611-0-1","usgsCitation":"Panek, F.M., and Densmore, C.L., 2011, Electrofishing and the effects of depletion sampling on fish health: A review and recommendations for additional study, in Bridging America and Russia with shared perspectives on aquatic animal health: Proceedings of the Third Bilateral Conference between Russia and the United States, Shepherdstown, WV, July 12-20, 2009, p. 299-308.","productDescription":"10 p.","startPage":"299","endPage":"308","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":275408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275406,"type":{"id":11,"text":"Document"},"url":"https://www.lsc.usgs.gov/files/Panek%20%26%20Densmore%202011.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51f25420e4b0279fe2e1bffb","contributors":{"editors":[{"text":"Cipriano, R. C.","contributorId":12400,"corporation":false,"usgs":true,"family":"Cipriano","given":"R.","middleInitial":"C.","affiliations":[],"preferred":false,"id":626200,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Bruckner, A.W.","contributorId":75044,"corporation":false,"usgs":true,"family":"Bruckner","given":"A.W.","email":"","affiliations":[],"preferred":false,"id":626201,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Shchelkunov, I.S.","contributorId":21326,"corporation":false,"usgs":true,"family":"Shchelkunov","given":"I.S.","email":"","affiliations":[],"preferred":false,"id":626202,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Panek, F. M.","contributorId":51183,"corporation":false,"usgs":true,"family":"Panek","given":"F.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":481457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Densmore, Christine L.","contributorId":18316,"corporation":false,"usgs":true,"family":"Densmore","given":"Christine","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":481456,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70047006,"text":"sim3183 - 2011 - Potentiometric surface of the upper Floridan aquifer, west-central Florida, May 2011","interactions":[],"lastModifiedDate":"2015-01-15T17:48:53","indexId":"sim3183","displayToPublicDate":"2013-01-01T12:52:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3183","title":"Potentiometric surface of the upper Floridan aquifer, west-central Florida, May 2011","docAbstract":"The Floridan aquifer system consists of the Upper and Lower Floridan aquifers separated by the middle confining unit. The middle confining unit and the Lower Floridan aquifer in west-central Florida generally contain highly mineralized water. The water-bearing units containing freshwater are herein referred to as the Upper Floridan aquifer. The Upper Floridan aquifer is the principal source of water in the Southwest Florida Water Management District and is used for major public supply, domestic use, irrigation, and brackish water desalination in coastal communities (Southwest Florida Water Management District, 2000). This map report shows the potentiometric surface of the Upper Floridan aquifer measured in May 2011. The potentiometric surface is an imaginary surface connecting points of equal altitude to which water will rise in tightly-cased wells that tap a confined aquifer system (Lohman, 1979). This map represents water-level conditions near the end of the dry season, when groundwater levels usually are at an annual low and withdrawals for agricultural use typically are high. The cumulative average rainfall of 45.74 inches for west-central Florida (from June 2010 through May 2011) was 6.85 inches below the historical cumulative average of 52.59 inches (Southwest Florida Water Management District, 2011). Historical cumulative averages are calculated from regional rainfall summary reports (1915 to most recent complete calendar year) and are updated monthly by the Southwest Florida Water Management District. This report, prepared by the U.S. Geological Survey in cooperation with the Southwest Florida Water Management District, is part of a semi-annual series of Upper Floridan aquifer potentiometric-surface map reports for west-central Florida. Potentiometric-surface maps have been prepared for January 1964, May 1969, May 1971, May 1973, May 1974, and for each May and September from 1975 through 2010. Water-level data are collected in May and September each year to show the approximate annual low and high water-level conditions, respectively. Most of the water-level data for this map were collected by the U.S. Geological Survey during the period May 23-27, 2011. Supplemental water-level data were collected by other agencies and companies. Most water-level measurements were made during a 5-day period; therefore, measurements do not represent a \"snapshot\" of conditions at a specific time, nor do they necessarily coincide with the seasonal low water-level condition.
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Terrestrial laser scanning (TLS) techniques are utilized to capture morphological changes brought about by a high-frequency of debris-flow events at Chalk Cliffs, Colorado. The purpose of this paper is to compare and contrast the topographic response of a natural channel to the documented debris-flow events. TLS survey data allowed for the generation of high-resolution (2-cm) digital terrain models (DTM) of the channel. A robust network of twelve permanent control points permitted repeat scanning sessions that provided multiple DTM to evaluate fine-scale topographic change associated with three debris-flow events. Difference surfaces from the DTM permit the interpretations of spatial variations in channel morphometry and net volume of material deposited and eroded within and between a series of channel reaches. Each channel reach experienced erosion, deposition, and both net volumetric gains and losses were measured. Analysis of potential relationships between erosion and deposition magnitudes yielded no strong correlations with measures of channel-reach morphometry, suggesting that channel reach-specific predictions of potential erosion or deposition locations or rates cannot be adequately derived from statistical analyses of pre-event channel-reach morphometry.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Italian Journal of Engineering Geology and Environment: 5th International Conference on Debris-Flow Hazards Mitigation: Mechanics, Prediction and Assessment, Padua, Italy - 14-17 June 2011","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Casa Editrice Università La Sapienza","doi":"10.4408/IJEGE.2011-03.B-083","usgsCitation":"Staley, D.M., Wasklewicz, T.A., Coe, J.A., Kean, J.W., McCoy, S.W., and Tucker, G.E., 2011, Observations of debris flows at Chalk Cliffs, Colorado, USA: Part 2, changes in surface morphometry from terrestrial laser scanning in the summer of 2009: Italian Journal of Engineering Geology and Environment, p. 759-768, https://doi.org/10.4408/IJEGE.2011-03.B-083.","productDescription":"10 p.","startPage":"759","endPage":"768","ipdsId":"IP-024532","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":274481,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274480,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4408/IJEGE.2011-03.B-083"}],"country":"United States","state":"Colorado","otherGeospatial":"Chalk Cliffs","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0603,36.9924 ], [ -109.0603,41.0034 ], [ -102.0409,41.0034 ], [ -102.0409,36.9924 ], [ -109.0603,36.9924 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d8136be4b0b0351701e194","contributors":{"authors":[{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":477168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wasklewicz, Thad A.","contributorId":39275,"corporation":false,"usgs":true,"family":"Wasklewicz","given":"Thad","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":477170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":477166,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":477167,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCoy, Scott W.","contributorId":94954,"corporation":false,"usgs":true,"family":"McCoy","given":"Scott","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":477171,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tucker, Greg E.","contributorId":23422,"corporation":false,"usgs":true,"family":"Tucker","given":"Greg","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":477169,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}