{"pageNumber":"1197","pageRowStart":"29900","pageSize":"25","recordCount":184858,"records":[{"id":70162143,"text":"70162143 - 2015 - Geologic cross sections and preliminary geologic map of the Questa Area, Taos County, New Mexico","interactions":[],"lastModifiedDate":"2017-04-24T14:12:34","indexId":"70162143","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":128,"text":"Open-File Report","active":false,"publicationSubtype":{"id":2}},"seriesNumber":"578","subseriesTitle":"New Mexico Bureau of Geology and Mineral Resources","title":"Geologic cross sections and preliminary geologic map of the Questa Area, Taos County, New Mexico","docAbstract":"<p>In 2011, the senior authors were contacted by Ron Gardiner of Questa, and Village of Questa Mayor Esther Garcia, to discuss the existing and future groundwater supply for the Village of Questa. This meeting led to the development of a plan in 2013 to perform an integrated geologic, geophysical, and hydrogeologic investigation of the Questa area by the New Mexico Bureau of Geology &amp; Mineral Resources (NMBG), the U.S. Geological Survey (USGS), and New Mexico Tech (NMT). </p><p>The NMBG was responsible for the geologic map and geologic cross sections. The USGS was responsible for a detailed geophysical model to be incorporated into the NMBG products. NMT was responsible for providing a graduate student to develop a geochemical and groundwater flow model. This report represents the final products of the geologic and geophysical investigations conducted by the NMBG and USGS. The USGS final products have been incorporated directly into the geologic cross sections. </p><p>The objective of the study was to characterize and interpret the shallow (to a depth of approximately 5,000 ft) three-dimensional geology and preliminary hydrogeology of the Questa area. The focus of this report is to compile existing geologic and geophysical data, integrate new geophysical data, and interpret these data to construct three, detailed geologic cross sections across the Questa area. These cross sections can be used by the Village of Questa to make decisions about municipal water-well development, and can be used in the future to help in the development of a conceptual model of groundwater flow for the Questa area. Attached to this report are a location map, a preliminary geologic map and unit descriptions, tables of water wells and springs used in the study, and three detailed hydrogeologic cross sections shown at two different vertical scales. The locations of the cross sections are shown on the index map of the cross section sheet.</p>","language":"English","publisher":"New Mexico Bureau of Geology and Mineral Resources","usgsCitation":"Bauer, P.W., Grauch, V.J., Johnson, P.S., Thompson, R.A., Drenth, B.J., and Kelson, K., 2015, Geologic cross sections and preliminary geologic map of the Questa Area, Taos County, New Mexico: Open-File Report 578, 16 p.","productDescription":"16 p.","ipdsId":"IP-069393","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":340204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ff0ea0e4b006455f2d61d2","contributors":{"authors":[{"text":"Bauer, Paul W.","contributorId":145562,"corporation":false,"usgs":false,"family":"Bauer","given":"Paul","email":"","middleInitial":"W.","affiliations":[{"id":16150,"text":"New Mexico Bureau of Geology and Mineral Resources","active":true,"usgs":false}],"preferred":false,"id":588672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grauch, V. J. S. 0000-0002-0761-3489 tien@usgs.gov","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":886,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"tien@usgs.gov","middleInitial":"J. S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":588673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Peggy S.","contributorId":85689,"corporation":false,"usgs":true,"family":"Johnson","given":"Peggy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":588674,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Ren A. 0000-0002-3044-3043 rathomps@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-3043","contributorId":1265,"corporation":false,"usgs":true,"family":"Thompson","given":"Ren","email":"rathomps@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":588671,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drenth, Benjamin J. 0000-0002-3954-8124 bdrenth@usgs.gov","orcid":"https://orcid.org/0000-0002-3954-8124","contributorId":1315,"corporation":false,"usgs":true,"family":"Drenth","given":"Benjamin","email":"bdrenth@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":588675,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kelson, Keith I.","contributorId":75851,"corporation":false,"usgs":true,"family":"Kelson","given":"Keith I.","affiliations":[],"preferred":false,"id":588676,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70159597,"text":"70159597 - 2015 - Estimating the risks for adverse effects of total phosphorus in receiving streams with the Stochastic Empirical Loading and Dilution Model (SELDM)","interactions":[],"lastModifiedDate":"2019-02-21T15:33:24","indexId":"70159597","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Estimating the risks for adverse effects of total phosphorus in receiving streams with the Stochastic Empirical Loading and Dilution Model (SELDM)","docAbstract":"<p>Studies from North Carolina (NC) indicate that increasing concentrations of total phosphorus (TP) and other constituents are correlated to adverse effects on stream ecosystems as evidenced by differences in benthic macroinvertebrate populations in streams across the state. As a result, stringent in-stream criteria based on the Water Quality Assessed by Benthic macroinvertebrate health ratings (WQABI) have been proposed for regulating TP concentrations in stormwater discharges and for selecting stormwater best management practices (BMPs). The WQABI criteria concentrations may not be suitable for evaluating stormwater discharges because they are based on baseflow concentration statistics, the criteria do not include a clearly defined allowable exceedance frequency, and there are substantial uncertainties in estimating the quality of runoff, BMP discharge, and receiving waters for sites without monitoring data.</p>\n<p>The Stochastic Empirical Loading and Dilution Model (SELDM), which was developed by the U.S. Geological Survey in cooperation with the Federal Highway Administration, was used to simulate the quality of runoff, BMP discharge, and receiving waters to evaluate risks for water-quality exceedances with different criteria concentrations, allowable exceedance frequencies, and selected water-quality statistics. Water-quality data from two neighboring basins in the Piedmont ecoregion in NC were used to simulate in-stream stormwater quality. Data collected at 15 sites in NC were used to simulate runoff quality. Statistics for stochastic modeling of volume reduction, hydrograph extension, and water-quality treatment by BMPs, were used to simulate potential effect of these treatments on discharge quality and downstream stormwater quality. Results of these long-term 30-year simulations were used to evaluate criteria concentrations, the potential frequency of water-quality exceedances, and the effect of data selection on risks for water-quality exceedances.</p>\n<p>The simulations indicate that the potential frequency for exceeding instream and stormwater discharge criteria depend on the detailed definition of the criteria and the data that are selected for simulating water quality. Data and simulation results indicate that the baseflow concentrations do not represent stormwater concentrations, even in predominantly forested basins. There is substantial uncertainty in applying stormwater statistics to unmonitored sites, even if these statistics are applied to neighboring basins such as in this example. Over a period of several years (or more) it would be impossible to meet many of the proposed instream and stormwater discharge quality criteria unless these criteria include an allowable exceedance frequency because stormwater concentrations commonly vary by orders of magnitude. Selection of BMPs by using concentration reduction as the sole criteria may underestimate potential benefits of BMPs that also provide volume reduction, which reduces discharge loads, and hydrograph extension, which increases the dilution of runoff into a larger proportion of the upstream stormflow.</p>\n<p>Results of this study indicate the potential benefits of the multi-decade simulations that SELDM provides because these simulations quantify risks and uncertainties that affect decisions made with available data and statistics. Results of the SELDM simulations indicate that the WQABI criteria concentrations may be too stringent for evaluating the stormwater quality in receiving streams, highway runoff, and BMP discharges; especially with the substantial uncertainties inherent in selecting representative data.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 2015 International Conference on Ecology and Transportation (ICOET 2015)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2015 International conference on ecology and transportation","conferenceDate":"September 20, 2015","conferenceLocation":"Raleigh, NC","language":"English","publisher":"Center for Transportation and the Environment","usgsCitation":"Granato, G.E., and Jones, S.C., 2015, Estimating the risks for adverse effects of total phosphorus in receiving streams with the Stochastic Empirical Loading and Dilution Model (SELDM), <i>in</i> Proceedings of the 2015 International Conference on Ecology and Transportation (ICOET 2015), Raleigh, NC, September 20, 2015, p. 1-19.","productDescription":"19 p.","startPage":"1","endPage":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065909","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":311831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566175cae4b06a3ea36c56a5","contributors":{"authors":[{"text":"Granato, Gregory E. 0000-0002-2561-9913 ggranato@usgs.gov","orcid":"https://orcid.org/0000-0002-2561-9913","contributorId":147346,"corporation":false,"usgs":true,"family":"Granato","given":"Gregory","email":"ggranato@usgs.gov","middleInitial":"E.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":579637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Susan C. 0000-0002-5891-5209","orcid":"https://orcid.org/0000-0002-5891-5209","contributorId":64716,"corporation":false,"usgs":false,"family":"Jones","given":"Susan","email":"","middleInitial":"C.","affiliations":[{"id":34302,"text":"Federal Highway Administration (United States)","active":true,"usgs":false}],"preferred":false,"id":579638,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187255,"text":"70187255 - 2015 - Annual survival rate estimate of satellite transmitter–marked eastern population greater sandhill cranes","interactions":[],"lastModifiedDate":"2017-04-28T11:42:48","indexId":"70187255","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Annual survival rate estimate of satellite transmitter–marked eastern population greater sandhill cranes","docAbstract":"<p><span>Several surveys have documented the increasing population size and geographic distribution of Eastern Population greater sandhill cranes </span><i>Grus canadensis tabida</i><span> since the 1960s. Sport hunting of this population of sandhill cranes started in 2012 following the provisions of the Eastern Population Sandhill Crane Management Plan. However, there are currently no published estimates of Eastern Population sandhill crane survival rate that can be used to inform harvest management. As part of two studies of Eastern Population sandhill crane migration, we deployed solar-powered global positioning system platform transmitting terminals on Eastern Population sandhill cranes (</span><i>n</i><span>  =  42) at key concentration areas from 2009 to 2012. We estimated an annual survival rate for Eastern Population sandhill cranes from data resulting from monitoring these cranes by using the known-fates model in the MARK program. Estimated annual survival rate for adult Eastern Population sandhill cranes was 0.950 (95% confidence interval  =  0.885–0.979) during December 2009–August 2014. All fatalities (</span><i>n</i><span>  =  5) occurred after spring migration in late spring and early summer. We were unable to determine cause of death for crane fatalities in our study. Our survival rate estimate will be useful when combined with other population parameters such as the population index derived from the U.S. Fish and Wildlife Service fall survey, harvest, and recruitment rates to assess the effects of harvest on population size and trend and evaluate the effectiveness of management strategies.</span></p>","language":"English","publisher":"Scientific Journals","doi":"10.3996/042015-JFWM-035","usgsCitation":"Fronczak, D.L., Andersen, D., Hanna, E.E., and Cooper, T.R., 2015, Annual survival rate estimate of satellite transmitter–marked eastern population greater sandhill cranes: Journal of Fish and Wildlife Management, v. 6, no. 2, p. 464-471, https://doi.org/10.3996/042015-JFWM-035.","productDescription":"8 p.","startPage":"464","endPage":"471","ipdsId":"IP-064500","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":471612,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/042015-jfwm-035","text":"Publisher Index Page"},{"id":340606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-01","publicationStatus":"PW","scienceBaseUri":"590454a6e4b022cee40dc248","contributors":{"authors":[{"text":"Fronczak, David L.","contributorId":191560,"corporation":false,"usgs":false,"family":"Fronczak","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":693470,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":2168,"corporation":false,"usgs":true,"family":"Andersen","given":"David E.","email":"dea@usgs.gov","affiliations":[{"id":34539,"text":"Minnesota Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693113,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanna, Everett E.","contributorId":191561,"corporation":false,"usgs":false,"family":"Hanna","given":"Everett","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":693471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cooper, Thomas R.","contributorId":191468,"corporation":false,"usgs":false,"family":"Cooper","given":"Thomas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":693472,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70187762,"text":"70187762 - 2015 - Evaluation of the Global Land Data Assimilation System (GLDAS) air temperature data products","interactions":[],"lastModifiedDate":"2017-05-17T11:19:03","indexId":"70187762","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2344,"text":"Journal of Hydrometeorology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of the Global Land Data Assimilation System (GLDAS) air temperature data products","docAbstract":"<p><span>There is a high demand for agrohydrologic models to use gridded near-surface air temperature data as the model input for estimating regional and global water budgets and cycles. The Global Land Data Assimilation System (GLDAS) developed by combining simulation models with observations provides a long-term gridded meteorological dataset at the global scale. However, the GLDAS air temperature products have not been comprehensively evaluated, although the accuracy of the products was assessed in limited areas. In this study, the daily 0.25° resolution GLDAS air temperature data are compared with two reference datasets: 1) 1-km-resolution gridded Daymet data (2002 and 2010) for the conterminous United States and 2) global meteorological observations (2000–11) archived from the Global Historical Climatology Network (GHCN). The comparison of the GLDAS datasets with the GHCN datasets, including 13 511 weather stations, indicates a fairly high accuracy of the GLDAS data for daily temperature. The quality of the GLDAS air temperature data, however, is not always consistent in different regions of the world; for example, some areas in Africa and South America show relatively low accuracy. Spatial and temporal analyses reveal a high agreement between GLDAS and Daymet daily air temperature datasets, although spatial details in high mountainous areas are not sufficiently estimated by the GLDAS data. The evaluation of the GLDAS data demonstrates that the air temperature estimates are generally accurate, but caution should be taken when the data are used in mountainous areas or places with sparse weather stations.</span></p>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/JHM-D-14-0230.1","usgsCitation":"Ji, L., Senay, G.B., and Verdin, J.P., 2015, Evaluation of the Global Land Data Assimilation System (GLDAS) air temperature data products: Journal of Hydrometeorology, v. 16, p. 2463-2480, https://doi.org/10.1175/JHM-D-14-0230.1.","productDescription":"18 p.","startPage":"2463","endPage":"2480","ipdsId":"IP-060871","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":471619,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/jhm-d-14-0230.1","text":"Publisher Index Page"},{"id":341434,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","noUsgsAuthors":false,"publicationDate":"2015-11-17","publicationStatus":"PW","scienceBaseUri":"593e26a5e4b0764e6c61b754","contributors":{"authors":[{"text":"Ji, Lei 0000-0002-6133-1036 lji@usgs.gov","orcid":"https://orcid.org/0000-0002-6133-1036","contributorId":139587,"corporation":false,"usgs":true,"family":"Ji","given":"Lei","email":"lji@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":695522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":695523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":695524,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70184227,"text":"70184227 - 2015 - Seismic source characterization for the 2014 update of the U.S. National Seismic Hazard Model","interactions":[],"lastModifiedDate":"2017-03-06T11:05:53","indexId":"70184227","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Seismic source characterization for the 2014 update of the U.S. National Seismic Hazard Model","docAbstract":"<p><span>We present the updated seismic source characterization (SSC) for the 2014 update of the National Seismic Hazard Model (NSHM) for the conterminous United States. Construction of the seismic source models employs the methodology that was developed for the 1996 NSHM but includes new and updated data, data types, source models, and source parameters that reflect the current state of knowledge of earthquake occurrence and state of practice for seismic hazard analyses. We review the SSC parameterization and describe the methods used to estimate earthquake rates, magnitudes, locations, and geometries for all seismic source models, with an emphasis on new source model components. We highlight the effects that two new model components—incorporation of slip rates from combined geodetic-geologic inversions and the incorporation of adaptively smoothed seismicity models—have on probabilistic ground motions, because these sources span multiple regions of the conterminous United States and provide important additional epistemic uncertainty for the 2014 NSHM.</span></p>","language":"English","publisher":"EERI","doi":"10.1193/110514EQS183M","usgsCitation":"Moschetti, M.P., Powers, P.M., Petersen, M.D., Boyd, O.S., Chen, R., Field, E.H., Frankel, A.D., Haller, K., Harmsen, S., Mueller, C.S., Wheeler, R., and Zeng, Y., 2015, Seismic source characterization for the 2014 update of the U.S. National Seismic Hazard Model: Earthquake Spectra, v. 31, no. S1, p. S31-S57, https://doi.org/10.1193/110514EQS183M.","productDescription":"27 p.","startPage":"S31","endPage":"S57","ipdsId":"IP-066842","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":471608,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1193/110514eqs183m","text":"Publisher Index Page"},{"id":336861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"S1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-01","publicationStatus":"PW","scienceBaseUri":"58be833de4b014cc3a3a99f9","contributors":{"authors":[{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":680636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powers, Peter M. 0000-0003-2124-6184 pmpowers@usgs.gov","orcid":"https://orcid.org/0000-0003-2124-6184","contributorId":176814,"corporation":false,"usgs":true,"family":"Powers","given":"Peter","email":"pmpowers@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":680637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":680646,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyd, Oliver S. 0000-0001-9457-0407 olboyd@usgs.gov","orcid":"https://orcid.org/0000-0001-9457-0407","contributorId":140739,"corporation":false,"usgs":true,"family":"Boyd","given":"Oliver","email":"olboyd@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":680638,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chen, Rui","contributorId":187504,"corporation":false,"usgs":false,"family":"Chen","given":"Rui","email":"","affiliations":[],"preferred":false,"id":680639,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Field, Edward H. 0000-0001-8172-7882 field@usgs.gov","orcid":"https://orcid.org/0000-0001-8172-7882","contributorId":52242,"corporation":false,"usgs":true,"family":"Field","given":"Edward","email":"field@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":680640,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Frankel, Arthur D. 0000-0001-9119-6106 afrankel@usgs.gov","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":146285,"corporation":false,"usgs":true,"family":"Frankel","given":"Arthur","email":"afrankel@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":680641,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Haller, Kathleen 0000-0001-8847-7302 haller@usgs.gov","orcid":"https://orcid.org/0000-0001-8847-7302","contributorId":172556,"corporation":false,"usgs":true,"family":"Haller","given":"Kathleen","email":"haller@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":680642,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Harmsen, Stephen harmsen@usgs.gov","contributorId":152128,"corporation":false,"usgs":true,"family":"Harmsen","given":"Stephen","email":"harmsen@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":680643,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mueller, Charles S. 0000-0002-1868-9710 cmueller@usgs.gov","orcid":"https://orcid.org/0000-0002-1868-9710","contributorId":955,"corporation":false,"usgs":true,"family":"Mueller","given":"Charles","email":"cmueller@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":680780,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wheeler, Russell wheeler@usgs.gov","contributorId":175474,"corporation":false,"usgs":true,"family":"Wheeler","given":"Russell","email":"wheeler@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":680644,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Zeng, Yuehua 0000-0003-1161-1264 zeng@usgs.gov","orcid":"https://orcid.org/0000-0003-1161-1264","contributorId":145693,"corporation":false,"usgs":true,"family":"Zeng","given":"Yuehua","email":"zeng@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":680645,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70184219,"text":"70184219 - 2015 - Updates to building-code maps for the 2015 NEHRP recommended seismic provisions","interactions":[],"lastModifiedDate":"2017-03-06T11:25:59","indexId":"70184219","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Updates to building-code maps for the 2015 NEHRP recommended seismic provisions","docAbstract":"<p><span>With the 2014 update of the U.S. Geological Survey (USGS) National Seismic Hazard Model (NSHM) as a basis, the Building Seismic Safety Council (BSSC) has updated the earthquake ground motion maps in the </span><i>National Earthquake Hazards Reduction Program (NEHRP) Recommended Seismic Provisions for New Buildings and Other Structures</i><span>, with partial funding from the Federal Emergency Management Agency. Anticipated adoption of the updated maps into the </span><i>American Society of Civil Engineers Minimum Design Loads for Building and Other Structures</i><span> and the </span><i>International Building and Residential Codes</i><span> is underway. Relative to the ground motions in the prior edition of each of these documents, most of the updated values are within a ±20% change. The larger changes are, in most cases, due to the USGS NSHM updates, reasons for which are given in companion publications. In some cases, the larger changes are partly due to a BSSC update of the slope of the fragility curve that is used to calculate the risk-targeted ground motions, and/or the introduction by BSSC of a quantitative definition of “active faults” used to calculate deterministic ground motions.</span></p>","language":"English","publisher":"EERI","doi":"10.1193/042015EQS058M","usgsCitation":"Luco, N., Bachman, R., Crouse, C., Harris, J.R., Hooper, J.D., Kircher, C.A., Caldwell, P., and Rukstales, K.S., 2015, Updates to building-code maps for the 2015 NEHRP recommended seismic provisions: Earthquake Spectra, v. 31, no. S1, p. S245-S271, https://doi.org/10.1193/042015EQS058M.","productDescription":"27 p.","startPage":"S245","endPage":"S271","ipdsId":"IP-070778","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":438662,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NT3NRE","text":"USGS data release","linkHelpText":"Gridded earthquake ground motions for the 2015 NEHRP Recommended Seismic Provisions and 2016 ASCE/SEI 7 Standard"},{"id":336870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"S1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-01","publicationStatus":"PW","scienceBaseUri":"58be833de4b014cc3a3a99fd","contributors":{"authors":[{"text":"Luco, Nico 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":145730,"corporation":false,"usgs":true,"family":"Luco","given":"Nico","email":"nluco@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":680594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bachman, Robert","contributorId":187485,"corporation":false,"usgs":false,"family":"Bachman","given":"Robert","affiliations":[],"preferred":false,"id":680595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crouse, C.B","contributorId":187486,"corporation":false,"usgs":false,"family":"Crouse","given":"C.B","affiliations":[],"preferred":false,"id":680596,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harris, James R.","contributorId":187541,"corporation":false,"usgs":false,"family":"Harris","given":"James","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":680597,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hooper, John D.","contributorId":7601,"corporation":false,"usgs":true,"family":"Hooper","given":"John","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":680598,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kircher, Charles A.","contributorId":106596,"corporation":false,"usgs":true,"family":"Kircher","given":"Charles","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":680599,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Caldwell, Phillp","contributorId":187488,"corporation":false,"usgs":false,"family":"Caldwell","given":"Phillp","email":"","affiliations":[],"preferred":false,"id":680600,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rukstales, Kenneth S. 0000-0003-2818-078X rukstales@usgs.gov","orcid":"https://orcid.org/0000-0003-2818-078X","contributorId":775,"corporation":false,"usgs":true,"family":"Rukstales","given":"Kenneth","email":"rukstales@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":680601,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70184226,"text":"70184226 - 2015 - Ground motion models used in the 2014 U.S. National Seismic Hazard Maps","interactions":[],"lastModifiedDate":"2017-03-06T11:18:18","indexId":"70184226","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Ground motion models used in the 2014 U.S. National Seismic Hazard Maps","docAbstract":"<p><span>The National Seismic Hazard Maps (NSHMs) are an important component of seismic design regulations in the United States. This paper compares hazard using the new suite of ground motion models (GMMs) relative to hazard using the suite of GMMs applied in the previous version of the maps. The new source characterization models are used for both cases. A previous paper (</span><a class=\"ref NLM_xref-bibr\">Rezaeian et al. 2014</a><span>) discussed the five NGA-West2 GMMs used for shallow crustal earthquakes in the Western United States (WUS), which are also summarized here. Our focus in this paper is on GMMs for earthquakes in stable continental regions in the Central and Eastern United States (CEUS), as well as subduction interface and deep intraslab earthquakes. We consider building code hazard levels for peak ground acceleration (PGA), 0.2-s, and 1.0-s spectral accelerations (SAs) on uniform firm-rock site conditions. The GMM modifications in the updated version of the maps created changes in hazard within 5% to 20% in WUS; decreases within 5% to 20% in CEUS; changes within 5% to 15% for subduction interface earthquakes; and changes involving decreases of up to 50% and increases of up to 30% for deep intraslab earthquakes for most U.S. sites. These modifications were combined with changes resulting from modifications in the source characterization models to obtain the new hazard maps.</span></p>","language":"English","publisher":"Earthquake Engineering Research Institute","publisherLocation":"El Cerrito, CA","doi":"10.1193/111714EQS194M","usgsCitation":"Rezaeian, S., Petersen, M.D., and Moschetti, M.P., 2015, Ground motion models used in the 2014 U.S. National Seismic Hazard Maps: Earthquake Spectra, v. 31, no. S1, p. S59-S84, https://doi.org/10.1193/111714EQS194M.","productDescription":"26 p.","startPage":"S59","endPage":"S84","ipdsId":"IP-069840","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":336867,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70173614,"text":"70173614 - 2015 - Water quality and fish dynamics in forested wetlands associated with an oxbow lake","interactions":[],"lastModifiedDate":"2016-06-07T16:29:30","indexId":"70173614","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Water quality and fish dynamics in forested wetlands associated with an oxbow lake","docAbstract":"<p><span>Forested wetlands represent some of the most distinct environments in the Lower Mississippi Alluvial Valley. Depending on season, water in forested wetlands can be warm, stagnant, and oxygen-depleted, yet may support high fish diversity. Fish assemblages in forested wetlands are not well studied because of difficulties in sampling heavily structured environments. During the April&ndash;July period, we surveyed and compared the water quality and assemblages of small fish in a margin wetland (forested fringe along a lake shore), contiguous wetland (forested wetland adjacent to a lake), and the open water of an oxbow lake. Dissolved-oxygen levels measured hourly 0.5 m below the surface were higher in the open water than in either of the forested wetlands. Despite reduced water quality, fish-species richness and catch rates estimated with light traps were greater in the forested wetlands than in the open water. The forested wetlands supported large numbers of fish and unique fish assemblages that included some rare species, likely because of their structural complexity. Programs developed to refine agricultural practices, preserve riparian zones, and restore lakes should include guidance to protect and reestablish forested wetlands.</span></p>","language":"English","publisher":"Bioone","doi":"10.1656/058.014.0404","usgsCitation":"Andrews, C.S., Miranda, L.E., and Kroger, R., 2015, Water quality and fish dynamics in forested wetlands associated with an oxbow lake: Southeastern Naturalist, v. 14, no. 4, p. 623-634, https://doi.org/10.1656/058.014.0404.","productDescription":"12 p.","startPage":"623","endPage":"634","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059167","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323230,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"Blue Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.44958114624023,\n              33.92726625895817\n            ],\n            [\n              -90.41662216186523,\n              33.92712382336637\n            ],\n            [\n              -90.41662216186523,\n              33.897777013859475\n            ],\n            [\n              -90.45026779174805,\n              33.89791949850677\n            ],\n            [\n              -90.44958114624023,\n              33.92726625895817\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-18","publicationStatus":"PW","scienceBaseUri":"5757f065e4b04f417c24dd45","contributors":{"authors":[{"text":"Andrews, Caroline S.","contributorId":143700,"corporation":false,"usgs":false,"family":"Andrews","given":"Caroline","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":637761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":637403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kroger, Robert","contributorId":143701,"corporation":false,"usgs":false,"family":"Kroger","given":"Robert","email":"","affiliations":[],"preferred":false,"id":637762,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70162509,"text":"70162509 - 2015 - Validation of simulated earthquake ground motions based on evolution of intensity and frequency content","interactions":[],"lastModifiedDate":"2016-01-28T09:10:09","indexId":"70162509","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Validation of simulated earthquake ground motions based on evolution of intensity and frequency content","docAbstract":"<p><span>Simulated earthquake ground motions can be used in many recent engineering applications that require time series as input excitations. However, applicability and validation of simulations are subjects of debate in the seismological and engineering communities. We propose a validation methodology at the waveform level and directly based on characteristics that are expected to influence most structural and geotechnical response parameters. In particular, three time-dependent validation metrics are used to evaluate the evolving intensity, frequency, and bandwidth of a waveform. These validation metrics capture nonstationarities in intensity and frequency content of waveforms, making them ideal to address nonlinear response of structural systems. A two-component error vector is proposed to quantify the average and shape differences between these validation metrics for a simulated and recorded ground-motion pair. Because these metrics are directly related to the waveform characteristics, they provide easily interpretable feedback to seismologists for modifying their ground-motion simulation models. To further simplify the use and interpretation of these metrics for engineers, it is shown how six scalar key parameters, including duration, intensity, and predominant frequency, can be extracted from the validation metrics. The proposed validation methodology is a step forward in paving the road for utilization of simulated ground motions in engineering practice and is demonstrated using examples of recorded and simulated ground motions from the 1994 Northridge, California, earthquake.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120140210","usgsCitation":"Rezaeian, S., Zhong, P., Hartzell, S.H., and Zareian, F., 2015, Validation of simulated earthquake ground motions based on evolution of intensity and frequency content: Bulletin of the Seismological Society of America, v. 105, no. 6, p. 3036-3049, https://doi.org/10.1785/0120140210.","productDescription":"14 p.","startPage":"3036","endPage":"3049","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068675","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":314936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Los Angeles","otherGeospatial":"Northridge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.55552673339842,\n              34.20044475954112\n            ],\n            [\n              -118.55552673339842,\n              34.27651009584797\n            ],\n            [\n              -118.47278594970702,\n              34.27651009584797\n            ],\n            [\n              -118.47278594970702,\n              34.20044475954112\n            ],\n            [\n              -118.55552673339842,\n              34.20044475954112\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"105","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-03","publicationStatus":"PW","scienceBaseUri":"56ab49d8e4b07ca61bfea61a","contributors":{"authors":[{"text":"Rezaeian, Sanaz 0000-0001-7589-7893 srezaeian@usgs.gov","orcid":"https://orcid.org/0000-0001-7589-7893","contributorId":4395,"corporation":false,"usgs":true,"family":"Rezaeian","given":"Sanaz","email":"srezaeian@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":589705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhong, Peng","contributorId":152543,"corporation":false,"usgs":false,"family":"Zhong","given":"Peng","email":"","affiliations":[{"id":6641,"text":"University of California at Merced","active":true,"usgs":false}],"preferred":false,"id":589706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hartzell, Stephen H. 0000-0003-0858-9043 shartzell@usgs.gov","orcid":"https://orcid.org/0000-0003-0858-9043","contributorId":2594,"corporation":false,"usgs":true,"family":"Hartzell","given":"Stephen","email":"shartzell@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":589707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zareian, Farzin","contributorId":152544,"corporation":false,"usgs":false,"family":"Zareian","given":"Farzin","email":"","affiliations":[{"id":6641,"text":"University of California at Merced","active":true,"usgs":false}],"preferred":false,"id":589708,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70173962,"text":"70173962 - 2015 - Geospatial resources for the geologic community: The USGS National Map","interactions":[],"lastModifiedDate":"2016-06-21T15:13:12","indexId":"70173962","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2309,"text":"Journal of Geology","active":true,"publicationSubtype":{"id":10}},"title":"Geospatial resources for the geologic community: The USGS National Map","docAbstract":"<p><span>Geospatial data are a key component of investigating, interpreting, and communicating the geological sciences. Locating geospatial data can be time-consuming, which detracts from time spent on a study because these data are not obviously placed in central locations or are served from many disparate databases. The National Map of the US Geological Survey is a publicly available resource for accessing the geospatial base map data needs of the geological community from a central location. The National Map data are available through a viewer and download platform providing access to eight primary data themes, plus the US Topo and scanned historical topographic maps. The eight themes are elevation, orthoimagery, hydrography, geographic names, boundaries, transportation, structures, and land cover, and they are being offered for download as predefined tiles in formats supported by leading geographic information system software. Data tiles are periodically refreshed to capture the most current content and are an efficient method for disseminating and receiving geospatial information. Elevation data, for example, are offered as a download from the National Map as 1&deg; &times; 1&deg; tiles for the 10- and 30- m products and as 15&prime; &times; 15&prime; tiles for the higher-resolution 3-m product. Vector data sets with smaller file sizes are offered at several tile sizes and formats. Partial tiles are not a download option&mdash;any prestaged data that intersect the requesting bounding box will be, in their entirety, part of the download order. While there are many options for accessing geospatial data via the Web, the National Map represents authoritative sources of data that are documented and can be referenced for citation and inclusion in scientific publications. Therefore, National Map products and services should be part of a geologist&rsquo;s first stop for geospatial information and data.</span></p>","language":"English","publisher":"The University of Chicago Press","doi":"10.1086/682008","usgsCitation":"Witt, E.C., 2015, Geospatial resources for the geologic community: The USGS National Map: Journal of Geology, v. 123, no. 3, p. 283-294, https://doi.org/10.1086/682008.","productDescription":"12 p.","startPage":"283","endPage":"294","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063473","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":324152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576a653be4b07657d1a11daa","contributors":{"authors":[{"text":"Witt, Emitt C. III 0000-0002-1814-7807 ecwitt@usgs.gov","orcid":"https://orcid.org/0000-0002-1814-7807","contributorId":1612,"corporation":false,"usgs":true,"family":"Witt","given":"Emitt","suffix":"III","email":"ecwitt@usgs.gov","middleInitial":"C.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":639787,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70160609,"text":"70160609 - 2015 - Foraging mechanisms of siscowet lake trout (<I>Salvelinus namaycush siscowet</I>) on pelagic prey","interactions":[],"lastModifiedDate":"2016-02-05T10:05:44","indexId":"70160609","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Foraging mechanisms of siscowet lake trout (<I>Salvelinus namaycush siscowet</I>) on pelagic prey","docAbstract":"<p>The reaction distance, angle of attack, and foraging success were determined for siscowet lake trout (<i>Salvelinus namaycush siscowet</i>) during laboratory trials under lighting conditions that approximated downwelling spectral irradiance and intensity (9.00&nbsp;&times;&nbsp;10<sup>8</sup>&ndash;1.06&nbsp;&times;&nbsp;10<sup>14</sup>&nbsp;photons&nbsp;m<sup>&minus;&nbsp;2</sup>&nbsp;s<sup>&minus;&nbsp;1</sup>) at daytime depths. Siscowet reaction distance in response to golden shiners (<i>Notemigonus crysoleucas</i>) was directly correlated with increasing light intensity until saturation at 1.86&nbsp;&times;&nbsp;10<sup>11</sup>&nbsp;photons&nbsp;m<sup>&minus;&nbsp;2</sup>&nbsp;s<sup>&minus;&nbsp;1</sup>, above which reaction distance was constant within the range of tested light intensities. At the lowest tested light intensity, sensory detection was sufficient to locate prey at 25&nbsp;&plusmn;&nbsp;2&nbsp;cm, while increasing light intensities increased reaction distance up to 59&nbsp;&plusmn;&nbsp;2&nbsp;cm at 1.06&nbsp;&times;&nbsp;10<sup>14</sup>&nbsp;photons&nbsp;m<sup>&minus;&nbsp;2</sup>&nbsp;s<sup>&minus;&nbsp;1</sup>. Larger prey elicited higher reaction distances than smaller prey at all light intensities while moving prey elicited higher reaction distances than stationary prey at the higher light intensities (6.00&nbsp;&times;&nbsp;10<sup>9</sup> to 1.06&nbsp;&times;&nbsp;10<sup>14</sup>&nbsp;photons&nbsp;m<sup>&minus;&nbsp;2</sup>&nbsp;s<sup>&minus;&nbsp;1</sup>). The capture and consumption of prey similarly increased with increasing light intensity while time to capture decreased with increasing light intensity. The majority of orientations toward prey occurred within 120&deg; of the longitudinal axis of the siscowet's eyes, although reaction distances among 30&deg; increments along the entire axis were not significantly different. The developed predictive model will help determine reaction distances for siscowet in various photic environments and will help identify the mechanisms and behavior that allow for low light intensity foraging within freshwater systems.</p>","language":"English","publisher":"International Association of Great Lakes Research","doi":"10.1016/j.jglr.2015.09.016","usgsCitation":"Keyler, T.D., Hrabik, T.R., Austin, C.L., Gorman, O.T., and Mensinger, A.F., 2015, Foraging mechanisms of siscowet lake trout (<I>Salvelinus namaycush siscowet</I>) on pelagic prey: Journal of Great Lakes Research, v. 41, no. 4, p. 1162-1171, https://doi.org/10.1016/j.jglr.2015.09.016.","productDescription":"10 p.","startPage":"1162","endPage":"1171","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071047","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":471601,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2015.09.016","text":"Publisher Index Page"},{"id":313127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Lake Superior, Apostle Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.48133850097656,\n              46.989855008117836\n            ],\n            [\n              -90.29182434082031,\n              46.99289939154502\n            ],\n            [\n              -90.29285430908202,\n              46.9036035979079\n            ],\n            [\n              -90.50193786621094,\n              46.9036035979079\n            ],\n            [\n              -90.48133850097656,\n              46.989855008117836\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"41","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56865fc6e4b0e7594ee74cc7","contributors":{"authors":[{"text":"Keyler, Trevor D.","contributorId":150850,"corporation":false,"usgs":false,"family":"Keyler","given":"Trevor","email":"","middleInitial":"D.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":583318,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hrabik, Thomas R.","contributorId":35614,"corporation":false,"usgs":false,"family":"Hrabik","given":"Thomas","email":"","middleInitial":"R.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":583319,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Austin, C. Lee","contributorId":150851,"corporation":false,"usgs":false,"family":"Austin","given":"C.","email":"","middleInitial":"Lee","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":583320,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gorman, Owen T. 0000-0003-0451-110X otgorman@usgs.gov","orcid":"https://orcid.org/0000-0003-0451-110X","contributorId":2888,"corporation":false,"usgs":true,"family":"Gorman","given":"Owen","email":"otgorman@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583317,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mensinger, Allen F.","contributorId":150852,"corporation":false,"usgs":false,"family":"Mensinger","given":"Allen","email":"","middleInitial":"F.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":583321,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70176400,"text":"70176400 - 2015 - Quantifying the residence time and flushing characteristics of a shallow, back-barrier estuary: Application of hydrodynamic and particle tracking models","interactions":[],"lastModifiedDate":"2016-09-13T09:39:55","indexId":"70176400","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the residence time and flushing characteristics of a shallow, back-barrier estuary: Application of hydrodynamic and particle tracking models","docAbstract":"<p><span>Estuarine residence time is a major driver of eutrophication and water quality. Barnegat Bay-Little Egg Harbor (BB-LEH), New Jersey, is a lagoonal back-barrier estuary that is subject to anthropogenic pressures including nutrient loading, eutrophication, and subsequent declines in water quality. A combination of hydrodynamic and particle tracking modeling was used to identify the mechanisms controlling flushing, residence time, and spatial variability of particle retention. The models demonstrated a pronounced northward subtidal flow from Little Egg Inlet in the south to Pt. Pleasant Canal in the north due to frictional effects in the inlets, leading to better flushing of the southern half of the estuary and particle retention in the northern estuary. Mean residence time for BB-LEH was 13&nbsp;days but spatial variability was between ∼0 and 30&nbsp;days depending on the initial particle location. Mean residence time with tidal forcing alone was 24&nbsp;days (spatial variability between ∼0 and 50&nbsp;days); the tides were relatively inefficient in flushing the northern end of the Bay. Scenarios with successive exclusion of physical processes from the models revealed that meteorological and remote offshore forcing were stronger drivers of exchange than riverine inflow. Investigations of water quality and eutrophication should take into account spatial variability in hydrodynamics and residence time in order to better quantify the roles of nutrient loading, production, and flushing.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-014-9885-3","usgsCitation":"Defne, Z., and Ganju, N., 2015, Quantifying the residence time and flushing characteristics of a shallow, back-barrier estuary: Application of hydrodynamic and particle tracking models: Estuaries and Coasts, v. 38, no. 5, p. 1719-1734, https://doi.org/10.1007/s12237-014-9885-3.","productDescription":"16 p.","startPage":"1719","endPage":"1734","ipdsId":"IP-057196","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471614,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/7506","text":"External Repository"},{"id":328587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"5","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-23","publicationStatus":"PW","scienceBaseUri":"57d92340e4b090824ffa1b23","contributors":{"authors":[{"text":"Defne, Zafer 0000-0003-4544-4310 zdefne@usgs.gov","orcid":"https://orcid.org/0000-0003-4544-4310","contributorId":5520,"corporation":false,"usgs":true,"family":"Defne","given":"Zafer","email":"zdefne@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":648603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ganju, Neil K. 0000-0002-1096-0465 nganju@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":149613,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","email":"nganju@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":648604,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178476,"text":"70178476 - 2015 - SPARROW modeling of nitrogen sources and transport in rivers and streams of California and adjacent states, U.S.","interactions":[],"lastModifiedDate":"2016-11-21T13:09:04","indexId":"70178476","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"SPARROW modeling of nitrogen sources and transport in rivers and streams of California and adjacent states, U.S.","docAbstract":"<p><span>The SPARROW (SPAtially Referenced Regressions On Watershed attributes) model was used to evaluate the spatial distribution of total nitrogen (TN) sources, loads, watershed yields, and factors affecting transport and decay in the stream network of California and portions of adjacent states for the year 2002. The two major TN sources to local catchments on a mass basis were fertilizers and manure (51.7%) and wastewater discharge (15.9%). Other sources contributed &lt;&nbsp;12%. Fertilizer use is widespread in the Central Valley region of California, and also important in several other regions because of the diversity of California agriculture. Precipitation, sand content of surficial soils, wetlands, and tile drains were important for TN movement to stream reaches. Median streamflow in the study area is about 0.04&nbsp;m</span><sup>3</sup><span>/s. Aquatic losses of nitrogen were found to be most important in intermittent and small to medium sized streams (0.2-14&nbsp;m</span><sup>3</sup><span>/s), while larger streams showed less loss, and therefore are important for TN transport. Nitrogen loss in reservoirs was found to be insignificant, possibly because most of the larger ones are located upstream of nitrogen sources. The model was used to show loadings, sources, and tributary inputs to several major rivers. The information provided by the SPARROW model is useful for determining both the major sources contributing nitrogen to streams and the specific tributaries that transport the load.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12325","usgsCitation":"Saleh, D., and Domagalski, J.L., 2015, SPARROW modeling of nitrogen sources and transport in rivers and streams of California and adjacent states, U.S.: Journal of the American Water Resources Association, v. 51, no. 6, p. 1487-1507, https://doi.org/10.1111/1752-1688.12325.","productDescription":"20 p.","startPage":"1487","endPage":"1507","ipdsId":"IP-044910","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":331159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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0000-0002-6032-757X joed@usgs.gov","orcid":"https://orcid.org/0000-0002-6032-757X","contributorId":1330,"corporation":false,"usgs":true,"family":"Domagalski","given":"Joseph","email":"joed@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654125,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70174114,"text":"70174114 - 2015 - Why are freshwater fish so threatened?","interactions":[],"lastModifiedDate":"2016-06-28T16:20:39","indexId":"70174114","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Why are freshwater fish so threatened?","docAbstract":"<p>The huge diversity of freshwater fishes is concentrated into an area of habitat that covers only about 1% of the Earth's surface, and much of this limited area has already been extensively impacted and intensively managed to meet human needs (Dudgeon&nbsp;<i>et al</i>., 2006). As outlined in Chapter 1, the number and proportions of threatened species tend to rise wherever fish diversity coincides with dense human populations, intensive resource use and development pressure. Of particular concern is the substantial proportion of the global diversity of freshwater fishes concentrated within the Mekong and Amazon Basins and west-central Africa (Berra, 2001; Abell&nbsp;<i>et al</i>., 2008; Dudgeon, 2011; Chapter 1) with extensive exploitation of water resources planned to accelerate in future years (Dudgeon, 2011; Chapter 1). If current trends continue, and the social, political and economic models that have been used to develop industrialised regions of the world over the past two centuries prevail, then the future of a significant proportion of global diversity of freshwater fish species is clearly uncertain.</p>\n<p>Understanding why so many freshwater fish species are threatened requires some understanding of their biology, diversity, distribution, biogeography and ecology, but also some appreciation of the social, economic and political forces that are causing humans to destroy the natural ecosystems upon which we all ultimately depend. To begin to understand the diversity of freshwater fishes, we first need to consider the processes that generated and continue to sustain the diversity of species we see today. Based on an understanding of how freshwater fish diversity is generated and sustained, we consider how vulnerable or resilient various freshwater fishes are to the range of anthropogenic impacts that impinge on freshwater ecosystems. Finally, we discuss how social, political and economic drivers influence human impacts on natural systems, and the changes needed to current models of development that can lead to a sustainable future for humans and the diverse range of freshwater fish species with which we share our planet. The aim of this chapter is to provide an overview of the key issues and threats driving the declines in freshwater fish diversity identified in Chapter 1; subsequent chapters provide more detail on the key issues and address our options for developing a sustainable future for freshwater fishes.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Conservation of Freshwater Fishes","language":"English","publisher":"Cambridge University Press","doi":"10.1017/CBO9781139627085","usgsCitation":"Closs, G.P., Angermeier, P.L., Darwall, W.R., and Balcombe, S.R., 2015, Why are freshwater fish so threatened?, chap. <i>of</i> Conservation of Freshwater Fishes, p. 37-75, https://doi.org/10.1017/CBO9781139627085.","productDescription":"39 p.","startPage":"37","endPage":"75","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059105","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":324566,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-05","publicationStatus":"PW","scienceBaseUri":"57739fb9e4b07657d1a90daa","contributors":{"authors":[{"text":"Closs, Gerard P.","contributorId":172538,"corporation":false,"usgs":false,"family":"Closs","given":"Gerard","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":641138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":640957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Darwall, William R.T.","contributorId":94981,"corporation":false,"usgs":true,"family":"Darwall","given":"William","email":"","middleInitial":"R.T.","affiliations":[],"preferred":false,"id":641139,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Balcombe, Stephen R.","contributorId":172539,"corporation":false,"usgs":false,"family":"Balcombe","given":"Stephen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":641140,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70174146,"text":"70174146 - 2015 - Management and the conservation of freshwater ecosystems","interactions":[],"lastModifiedDate":"2016-06-28T15:41:28","indexId":"70174146","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Management and the conservation of freshwater ecosystems","docAbstract":"<p>Riparian areas are the terrestrial environment adjacent to water that both influences and is influenced by the aquatic feature (Gregory&nbsp;<i>et al</i>., 1991; Naiman&nbsp;<i>et al</i>., 2010). Riparian areas along streams provide shade, sources of wood and organic matter, contribute to bank stability, filter sediments, take up excess nutrients from groundwater inputs, and other key processes that protect freshwaters (e.g. Naiman&nbsp;<i>et al</i>., 2010; Richardson &amp; Danehy, 2007; Figure 9.1). Riparian areas also increase biodiversity through habitat complexity and close juxtaposition of aquatic and terrestrial environments (Quinn&nbsp;<i>et al</i>., 2004; Naiman&nbsp;<i>et al</i>., 2010). Alterations to riparian areas, despite their small area relative to the landscape, have disproportionate effects on habitats and fish communities (Naiman&nbsp;<i>et al</i>., 2010; Wipfli &amp; Baxter, 2010). Key habitat losses and alterations are derived from modification of riparian areas by reducing instream habitat complexity (Bilby &amp; Ward, 1989; Fausch &amp; Northcote, 1992; Naiman&nbsp;<i>et al</i>., 2010), diminishing the productive basis of freshwater food webs (Belsky&nbsp;<i>et al</i>., 1999; Quinn&nbsp;<i>et al</i>., 2004), increasing nutrient, contaminant and sediment intrusion (Muscutt&nbsp;<i>et al</i>., 1993; Daniels &amp; Gilliam, 1996; Nguyen&nbsp;<i>et al</i>., 1998; Waters, 1999).</p>\n<p>Riparian and freshwater ecosystems are typically tightly coupled, especially in their natural states, and the linkages that couple them frequently exert strong influence on their associated invertebrate and fish fauna (e.g. Gregory&nbsp;<i>et al</i>., 1991; Naiman&nbsp;<i>et al</i>., 2010). Riparian habitats, and the condition of these habitats, further plays a key role in the ecology of these fresh waters, influencing critical processes such as water, nutrient and sediment delivery and dynamics; prey resources for fish and other consumers, and other organic materials exchanged between aquatic and terrestrial habitats (Nakano&nbsp;<i>et al</i>., 1999; Naiman&nbsp;<i>et al</i>., 2010); light and water temperature dynamics that in turn affect food web processes and fish metabolism and growth; aquatic physical habitat (wood); and terrestrial consumers that prey upon fishes (Bisson &amp; Bilby, 1998; Naiman&nbsp;<i>et al</i>., 2010; Wipfli &amp; Baxter, 2010). These processes in turn directly or indirectly influence fishes in freshwater systems (Wang&nbsp;<i>et al</i>., 2001; Pusey &amp; Arthington, 2003; Allan, 2004; Richardson&nbsp;<i>et al</i>., 2010a).</p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/CBO9781139627085.010","usgsCitation":"Wipfli, M.S., and Richardson, J.S., 2015, Management and the conservation of freshwater ecosystems, p. 270-291, https://doi.org/10.1017/CBO9781139627085.010.","productDescription":"22 p.","startPage":"270","endPage":"291","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055418","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":324546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57739fb1e4b07657d1a90cde","contributors":{"authors":[{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":640993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richardson, John S.","contributorId":172517,"corporation":false,"usgs":false,"family":"Richardson","given":"John","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":641099,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189516,"text":"70189516 - 2015 - The effect of natural organic matter on mercury methylation by Desulfobulbus propionicus 1pr3","interactions":[],"lastModifiedDate":"2018-09-04T15:40:41","indexId":"70189516","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1702,"text":"Frontiers in Microbiology","onlineIssn":"1664-302X","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The effect of natural organic matter on mercury methylation by <i>Desulfobulbus propionicus</i> 1pr3","title":"The effect of natural organic matter on mercury methylation by Desulfobulbus propionicus 1pr3","docAbstract":"<p><span>Methylation of tracer and ambient mercury (</span><sup>200</sup><span>Hg and<span>&nbsp;</span></span><sup>202</sup><span>Hg, respectively) equilibrated with four different natural organic matter (NOM) isolates was investigated<span>&nbsp;</span></span><i>in vivo</i><span><span>&nbsp;</span>using the Hg-methylating sulfate-reducing bacterium<span>&nbsp;</span></span><i>Desulfobulbus propionicus</i><span><span>&nbsp;</span>1pr3.<span>&nbsp;</span></span><i>Desulfobulbus</i><span><span>&nbsp;</span>cultures grown fermentatively with environmentally representative concentrations of dissolved NOM isolates, Hg[II], and HS</span><sup>−</sup><span><span>&nbsp;</span>were assayed for absolute methylmercury (MeHg) concentration and conversion of Hg(II) to MeHg relative to total unfiltered Hg(II). Results showed the<span>&nbsp;</span></span><sup>200</sup><span>Hg tracer was methylated more efficiently in the presence of hydrophobic NOM isolates than in the presence of transphilic NOM, or in the absence of NOM. Different NOM isolates were associated with variable methylation efficiencies for either the<span>&nbsp;</span></span><sup>202</sup><span>Hg tracer or ambient<span>&nbsp;</span></span><sup>200</sup><span>Hg. One hydrophobic NOM, F1 HpoA derived from dissolved organic matter from the Florida Everglades, was equilibrated for different times with Hg tracer, which resulted in different methylation rates. A 5 day equilibration with F1 HpoA resulted in more MeHg production than either the 4 h or 30 day equilibration periods, suggesting a time dependence for NOM-enhanced Hg bioavailability for methylation.</span></p>","language":"English","publisher":"Frontiers","doi":"10.3389/fmicb.2015.01389","usgsCitation":"Moreau, J.W., Gionfriddo, C.M., Krabbenhoft, D.P., Ogorek, J.M., DeWild, J.F., Aiken, G.R., and Roden, E.E., 2015, The effect of natural organic matter on mercury methylation by Desulfobulbus propionicus 1pr3: Frontiers in Microbiology, v. 6, p. 1-15, https://doi.org/10.3389/fmicb.2015.01389.","productDescription":"Article 1389; 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-070733","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":471604,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmicb.2015.01389","text":"Publisher Index Page"},{"id":343858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","noUsgsAuthors":false,"publicationDate":"2015-12-18","publicationStatus":"PW","scienceBaseUri":"5969d82ce4b0d1f9f060a197","contributors":{"authors":[{"text":"Moreau, John W.","contributorId":151017,"corporation":false,"usgs":false,"family":"Moreau","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":18167,"text":"University of Melbourne, Melbour","active":true,"usgs":false}],"preferred":false,"id":704997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gionfriddo, Caitlin M.","contributorId":194676,"corporation":false,"usgs":false,"family":"Gionfriddo","given":"Caitlin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":704998,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":704999,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ogorek, Jacob M. 0000-0002-6327-0740 jmogorek@usgs.gov","orcid":"https://orcid.org/0000-0002-6327-0740","contributorId":4960,"corporation":false,"usgs":true,"family":"Ogorek","given":"Jacob","email":"jmogorek@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":705000,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeWild, John F. 0000-0003-4097-2798 jfdewild@usgs.gov","orcid":"https://orcid.org/0000-0003-4097-2798","contributorId":2525,"corporation":false,"usgs":true,"family":"DeWild","given":"John","email":"jfdewild@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":705001,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":705002,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Roden, Eric E.","contributorId":127525,"corporation":false,"usgs":false,"family":"Roden","given":"Eric","email":"","middleInitial":"E.","affiliations":[{"id":7009,"text":"Department of Geoscience and NASA Astrobiology Institute, University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":705003,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70160354,"text":"70160354 - 2015 - Tidal marsh susceptibility to sea-level rise: importance of local-scale models","interactions":[],"lastModifiedDate":"2017-07-19T15:43:12","indexId":"70160354","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Tidal marsh susceptibility to sea-level rise: importance of local-scale models","docAbstract":"<p>Increasing concern over sea-level rise impacts to coastal tidal marsh ecosystems has led to modeling efforts to anticipate outcomes for resource management decision making. Few studies on the Pacific coast of North America have modeled sea-level rise marsh susceptibility at a scale relevant to local wildlife populations and plant communities. Here, we use a novel approach in developing an empirical sea-level rise ecological response model that can be applied to key management questions. Calculated elevation change over 13 y for a 324-ha portion of San Pablo Bay National Wildlife Refuge, California, USA, was used to represent local accretion and subsidence processes. Next, we coupled detailed plant community and elevation surveys with measured rates of inundation frequency to model marsh state changes to 2100. By grouping plant communities into low, mid, and high marsh habitats, we were able to assess wildlife species vulnerability and to better understand outcomes for habitat resiliency. Starting study-site conditions were comprised of 78% (253-ha) high marsh, 7% (30-ha) mid marsh, and 4% (18-ha) low marsh habitats, dominated by pickleweed <i>Sarcocornia pacifica</i> and cordgrass <i>Spartina</i> spp. Only under the low sea-level rise scenario (44 cm by 2100) did our models show persistence of some marsh habitats to 2100, with the area dominated by low marsh habitats. Under mid (93 cm by 2100) and high sea-level rise scenarios (166 cm by 2100), most mid and high marsh habitat was lost by 2070, with only 15% (65 ha) remaining, and a complete loss of these habitats by 2080. Low marsh habitat increased temporarily under all three sea-level rise scenarios, with the peak (286 ha) in 2070, adding habitat for the endemic endangered California Ridgway&rsquo;s rail <i>Rallus obsoletus obsoletus</i>. Under mid and high sea-level rise scenarios, an almost complete conversion to mudflat occurred, with most of the area below mean sea level. Our modeling assumed no marsh migration upslope due to human levee and infrastructure preventing these types of processes. Other modeling efforts done for this area have projected marsh persistence to 2100, but our modeling effort with site-specific datasets allowed us to model at a finer resolution with much higher local confidence, resulting in different results for management. Our results suggest that projected sea-level rise will have significant impacts on marsh plant communities and obligate wildlife, including those already under federal and state protection. Comprehensive modeling as done here improves the potential to implement adaptive management strategies and prevent marsh habitat and wildlife loss in the future.</p>","language":"English","publisher":"U.S. Fish and Wildlife Service","publisherLocation":"Washington D.C.","doi":"10.3996/062014-JFWM-048","usgsCitation":"Thorne, K.M., Buffington, K., Elliott-Fisk, D., and Takekawa, J.Y., 2015, Tidal marsh susceptibility to sea-level rise: importance of local-scale models: Journal of Fish and Wildlife Management, v. 3, no. 2, p. 290-304, https://doi.org/10.3996/062014-JFWM-048.","productDescription":"15 p.","startPage":"290","endPage":"304","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063637","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":488825,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/062014-jfwm-048","text":"Publisher Index Page"},{"id":312543,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Pablo Bay National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.49498367309569,\n              38.11240953756736\n            ],\n            [\n              -122.49034881591797,\n              38.112274474037406\n            ],\n            [\n              -122.48331069946288,\n              38.114300400762154\n            ],\n            [\n              -122.47901916503906,\n              38.11551592982289\n            ],\n            [\n              -122.47095108032227,\n              38.116326271290674\n            ],\n            [\n              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kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":582732,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elliott-Fisk, Deborah L.","contributorId":46859,"corporation":false,"usgs":true,"family":"Elliott-Fisk","given":"Deborah L.","affiliations":[],"preferred":false,"id":582733,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":582734,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70160353,"text":"70160353 - 2015 - Strong-motion observations of the M 7.8 Gorkha, Nepal, earthquake sequence and development of the N-shake strong-motion network","interactions":[],"lastModifiedDate":"2018-10-24T16:48:39","indexId":"70160353","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Strong-motion observations of the M 7.8 Gorkha, Nepal, earthquake sequence and development of the N-shake strong-motion network","docAbstract":"<p>We present and describe strong-motion data observations from the 2015 M 7.8 Gorkha, Nepal, earthquake sequence collected using existing and new Quake-Catcher Network (QCN) and U.S. Geological Survey NetQuakes sensors located in the Kathmandu Valley. A comparison of QCN data with waveforms recorded by a conventional strong-motion (NetQuakes) instrument validates the QCN data. We present preliminary analysis of spectral accelerations, and peak ground acceleration and velocity for earthquakes up to M 7.3 from the QCN stations, as well as preliminary analysis of the mainshock recording from the NetQuakes station. We show that mainshock peak accelerations were lower than expected and conclude the Kathmandu Valley experienced a pervasively nonlinear response during the mainshock. Phase picks from the QCN and NetQuakes data are also used to improve aftershock locations. This study confirms the utility of QCN instruments to contribute to ground-motion investigations and aftershock response in regions where conventional instrumentation and open-access seismic data are limited. Initial pilot installations of QCN instruments in 2014 are now being expanded to create the Nepal&ndash;Shaking Hazard Assessment for Kathmandu and its Environment (N-SHAKE) network.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220150146","usgsCitation":"Dixit, A., Ringler, A.T., Sumy, D.F., Cochran, E.S., Hough, S.E., Martin, S., Gibbons, S., Luetgert, J.H., Galetzka, J., Shrestha, S., Rajaure, S., and McNamara, D.E., 2015, Strong-motion observations of the M 7.8 Gorkha, Nepal, earthquake sequence and development of the N-shake strong-motion network: Seismological Research Letters, v. 86, no. 6, p. 1533-1539, https://doi.org/10.1785/0220150146.","productDescription":"7 p.","startPage":"1533","endPage":"1539","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066938","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":471599,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1785/0220150146","text":"External Repository"},{"id":312587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Nepal","volume":"86","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-28","publicationStatus":"PW","scienceBaseUri":"567930d4e4b0da412f4fb5a2","contributors":{"authors":[{"text":"Dixit, Amod","contributorId":150708,"corporation":false,"usgs":false,"family":"Dixit","given":"Amod","email":"","affiliations":[{"id":18073,"text":"National Society for Earthquake Technology","active":true,"usgs":false}],"preferred":false,"id":582719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":145576,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":582720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sumy, Danielle F.","contributorId":108025,"corporation":false,"usgs":true,"family":"Sumy","given":"Danielle","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":582721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":582722,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":582723,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martin, Stacey","contributorId":35165,"corporation":false,"usgs":false,"family":"Martin","given":"Stacey","affiliations":[{"id":5110,"text":"Earth Observatory of Singapore, Nanyang Technological University","active":true,"usgs":false}],"preferred":false,"id":582724,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gibbons, Steven","contributorId":150709,"corporation":false,"usgs":false,"family":"Gibbons","given":"Steven","affiliations":[{"id":18074,"text":"NORSAR","active":true,"usgs":false}],"preferred":false,"id":582725,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Luetgert, James H. luetgert@usgs.gov","contributorId":4203,"corporation":false,"usgs":true,"family":"Luetgert","given":"James","email":"luetgert@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":582726,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Galetzka, John","contributorId":147535,"corporation":false,"usgs":false,"family":"Galetzka","given":"John","email":"","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":582727,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shrestha, Surya","contributorId":150710,"corporation":false,"usgs":false,"family":"Shrestha","given":"Surya","email":"","affiliations":[{"id":18073,"text":"National Society for Earthquake Technology","active":true,"usgs":false}],"preferred":false,"id":582728,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rajaure, Sudhir","contributorId":150711,"corporation":false,"usgs":false,"family":"Rajaure","given":"Sudhir","email":"","affiliations":[{"id":18073,"text":"National Society for Earthquake Technology","active":true,"usgs":false}],"preferred":false,"id":582729,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"McNamara, Daniel E. 0000-0001-6860-0350 mcnamara@usgs.gov","orcid":"https://orcid.org/0000-0001-6860-0350","contributorId":402,"corporation":false,"usgs":true,"family":"McNamara","given":"Daniel","email":"mcnamara@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":582730,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70189525,"text":"70189525 - 2015 - Removal of terrestrial DOC in aquatic ecosystems of a temperate river network","interactions":[],"lastModifiedDate":"2017-07-14T12:24:34","indexId":"70189525","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Removal of terrestrial DOC in aquatic ecosystems of a temperate river network","docAbstract":"<div class=\"article-section__content mainAbstract\"><p>Surface waters play a potentially important role in the global carbon balance. Dissolved organic carbon (DOC) fluxes are a major transfer of terrestrial carbon to river systems, and the fate of DOC in aquatic systems is poorly constrained. We used a unique combination of spatially distributed sampling of three DOC fractions throughout a river network and modeling to quantify the net removal of terrestrial DOC during a summer base flow period. We found that aquatic reactivity of terrestrial DOC leading to net loss is low, closer to conservative chloride than to reactive nitrogen. Net removal occurred mainly from the hydrophobic organic acid fraction, while hydrophilic and transphilic acids showed no net change, indicating that partitioning of bulk DOC into different fractions is critical for understanding terrestrial DOC removal. These findings suggest that river systems may have only a modest ability to alter the amounts of terrestrial DOC delivered to coastal zones.</p></div>","language":"English","publisher":"AGU","doi":"10.1002/2015GL064647","usgsCitation":"Wollheim, W.M., Stewart, R.J., Aiken, G.R., Butler, K.D., Morse, N.B., and Salisbury, J., 2015, Removal of terrestrial DOC in aquatic ecosystems of a temperate river network: Geophysical Research Letters, v. 42, no. 16, p. 6671-6679, https://doi.org/10.1002/2015GL064647.","productDescription":"9 p.","startPage":"6671","endPage":"6679","ipdsId":"IP-064250","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":471609,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gl064647","text":"Publisher Index Page"},{"id":343869,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Ipswich River","volume":"42","issue":"16","noUsgsAuthors":false,"publicationDate":"2015-08-19","publicationStatus":"PW","scienceBaseUri":"5969d82ce4b0d1f9f060a191","contributors":{"authors":[{"text":"Wollheim, W. M.","contributorId":10912,"corporation":false,"usgs":false,"family":"Wollheim","given":"W.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":705035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, R. J.","contributorId":194685,"corporation":false,"usgs":false,"family":"Stewart","given":"R.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":705036,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":705037,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butler, Kenna D. kebutler@usgs.gov","contributorId":3283,"corporation":false,"usgs":true,"family":"Butler","given":"Kenna","email":"kebutler@usgs.gov","middleInitial":"D.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":705038,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morse, Nathaniel B.","contributorId":139747,"corporation":false,"usgs":false,"family":"Morse","given":"Nathaniel","email":"","middleInitial":"B.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":705039,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Salisbury, J.","contributorId":194686,"corporation":false,"usgs":false,"family":"Salisbury","given":"J.","affiliations":[],"preferred":false,"id":705040,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70189524,"text":"70189524 - 2015 - Long-term anoxia and release of ancient, labile carbon upon thaw of Pleistocene permafrost","interactions":[],"lastModifiedDate":"2017-07-14T12:19:21","indexId":"70189524","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Long-term anoxia and release of ancient, labile carbon upon thaw of Pleistocene permafrost","docAbstract":"<p><span>The fate of permafrost carbon upon thaw will drive feedbacks to climate warming. Here we consider the character and context of dissolved organic carbon (DOC) in yedoma permafrost cores from up to 20 m depth in central Alaska. We observed high DOC concentrations (4 to 129 mM) and consistent low molecular weight organic acid concentrations in three cores. We estimate a DOC production rate of 12 µmol DOC m</span><sup>−2</sup><span> yr</span><sup>−1</sup><span><span>&nbsp;</span>based on model ages of up to ~200 kyr derived from uranium isotopes. Acetate C accounted for 24 ± 1% of DOC in all samples. This proportion suggests long-term anaerobiosis and is likely to influence thaw outcomes due to biolability of acetate upon release in many environments. The combination of uranium isotopes, ammonium concentrations, and calcium concentrations explained 86% of the variation in thaw water DOC concentrations, suggesting that DOC production may be related to both reducing conditions and mineral dissolution over time.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2015GL066296","usgsCitation":"Ewing, S.A., O’Donnell, J.A., Aiken, G.R., Butler, K.D., Butman, D., Windham-Myers, L., and Kanevskiy, M., 2015, Long-term anoxia and release of ancient, labile carbon upon thaw of Pleistocene permafrost: Geophysical Research Letters, v. 42, no. 24, p. 10730-10738, https://doi.org/10.1002/2015GL066296.","productDescription":"9 p.","startPage":"10730","endPage":"10738","ipdsId":"IP-066085","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":471606,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gl066296","text":"Publisher Index Page"},{"id":343868,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"24","noUsgsAuthors":false,"publicationDate":"2015-12-23","publicationStatus":"PW","scienceBaseUri":"5969d82ce4b0d1f9f060a195","contributors":{"authors":[{"text":"Ewing, Stephanie A.","contributorId":50065,"corporation":false,"usgs":true,"family":"Ewing","given":"Stephanie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":705028,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Donnell, Jonathan A.","contributorId":84138,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":705029,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":705030,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butler, Kenna D. 0000-0001-9604-4603 kebutler@usgs.gov","orcid":"https://orcid.org/0000-0001-9604-4603","contributorId":178885,"corporation":false,"usgs":true,"family":"Butler","given":"Kenna","email":"kebutler@usgs.gov","middleInitial":"D.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":705031,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Butman, David 0000-0003-3520-7426 dbutman@usgs.gov","orcid":"https://orcid.org/0000-0003-3520-7426","contributorId":174187,"corporation":false,"usgs":true,"family":"Butman","given":"David","email":"dbutman@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":705032,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Windham-Myers, Lisamarie lwindham-myers@usgs.gov","contributorId":167489,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[],"preferred":true,"id":705033,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kanevskiy, Mikhail","contributorId":60511,"corporation":false,"usgs":true,"family":"Kanevskiy","given":"Mikhail","affiliations":[],"preferred":false,"id":705034,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70159330,"text":"70159330 - 2015 - Gopherus agassizii (Agassiz's Desert Tortoise).  Attempted predation.","interactions":[],"lastModifiedDate":"2016-09-22T10:35:35","indexId":"70159330","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Gopherus agassizii (Agassiz's Desert Tortoise).  Attempted predation.","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Herpetological Review","usgsCitation":"Spenceley, A., Mack, J.S., and Berry, K.H., 2015, Gopherus agassizii (Agassiz's Desert Tortoise).  Attempted predation.: Herpetological Review, v. 46, no. 3, p. 422-423.","productDescription":"2 p.","startPage":"422","endPage":"423","ipdsId":"IP-065571","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":328854,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7ee36e4b0bc0bec09e909","contributors":{"authors":[{"text":"Spenceley, Ashley","contributorId":149345,"corporation":false,"usgs":false,"family":"Spenceley","given":"Ashley","email":"","affiliations":[{"id":17713,"text":"formerly with WERC, USGS","active":true,"usgs":false}],"preferred":false,"id":578032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mack, Jeremy S. jmack@usgs.gov","contributorId":3851,"corporation":false,"usgs":true,"family":"Mack","given":"Jeremy","email":"jmack@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":578033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berry, Kristin H. 0000-0003-1591-8394 kristin_berry@usgs.gov","orcid":"https://orcid.org/0000-0003-1591-8394","contributorId":437,"corporation":false,"usgs":true,"family":"Berry","given":"Kristin","email":"kristin_berry@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":578031,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70169234,"text":"70169234 - 2015 - Assessment of model estimates of land-atmosphere CO<sub>2</sub> exchange across northern Eurasia","interactions":[],"lastModifiedDate":"2016-03-24T13:40:28","indexId":"70169234","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of model estimates of land-atmosphere CO<sub>2</sub> exchange across northern Eurasia","docAbstract":"<p><span>A warming climate is altering land-atmosphere exchanges of carbon, with a potential for increased vegetation productivity as well as the mobilization of permafrost soil carbon stores. Here we investigate land-atmosphere carbon dioxide (CO</span><span>2</span><span>) cycling through analysis of net ecosystem productivity (NEP) and its component fluxes of gross primary productivity (GPP) and ecosystem respiration (ER) and soil carbon residence time, simulated by a set of land surface models (LSMs) over a region spanning the drainage basin of Northern Eurasia. The retrospective simulations cover the period 1960&ndash;2009 at 0.5&deg; resolution, which is a scale common among many global carbon and climate model simulations. Model performance benchmarks were drawn from comparisons against both observed CO</span><span>2</span><span>&nbsp;fluxes derived from site-based eddy covariance measurements as well as regional-scale GPP estimates based on satellite remote-sensing data. The site-based comparisons depict a tendency for overestimates in GPP and ER for several of the models, particularly at the two sites to the south. For several models the spatial pattern in GPP explains less than half the variance in the MODIS MOD17 GPP product. Across the models NEP increases by as little as 0.01 to as much as 0.79 g C m</span><span>&minus;2</span><span>&nbsp;yr</span><span>&minus;2</span><span>, equivalent to 3 to 340 % of the respective model means, over the analysis period. For the multimodel average the increase is 135 % of the mean from the first to last 10 years of record (1960&ndash;1969 vs. 2000&ndash;2009), with a weakening CO</span><span>2</span><span>&nbsp;sink over the latter decades. Vegetation net primary productivity increased by 8 to 30 % from the first to last 10 years, contributing to soil carbon storage gains. The range in regional mean NEP among the group is twice the multimodel mean, indicative of the uncertainty in CO</span><span>2</span><span>&nbsp;sink strength. The models simulate that inputs to the soil carbon pool exceeded losses, resulting in a net soil carbon gain amid a decrease in residence time. Our analysis points to improvements in model elements controlling vegetation productivity and soil respiration as being needed for reducing uncertainty in land-atmosphere CO</span><span>2</span><span>&nbsp;exchange. These advances will require collection of new field data on vegetation and soil dynamics, the development of benchmarking data sets from measurements and remote-sensing observations, and investments in future model development and intercomparison studies.</span></p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/bg-12-4385-2015","usgsCitation":"Rawlins, M., McGuire, A., Kimball, J., Dass, P., Lawrence, D., Burke, E., Chen, X., Delire, C., Koven, C., MacDougall, A., Peng, S., Rinke, A., Saito, K., Zhang, W., Alkama, R., Bohn, T.J., Ciais, P., Decharme, B., Gouttevin, I., Hajima, T., Ji, D., Krinner, G., Lettenmaier, D., Miller, P., Moore, J., Smith, B., and Sueyoshi, T., 2015, Assessment of model estimates of land-atmosphere CO<sub>2</sub> exchange across northern Eurasia: Biogeosciences, v. 12, no. 14, p. 4385-4405, https://doi.org/10.5194/bg-12-4385-2015.","productDescription":"21 p.","startPage":"4385","endPage":"4405","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059953","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471618,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-12-4385-2015","text":"Publisher Index Page"},{"id":319370,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Eurasia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.68242645263672,\n              46.13036330589103\n            ],\n            [\n              -89.68242645263672,\n              46.150107913663334\n            ],\n            [\n              -89.65873718261719,\n              46.150107913663334\n            ],\n            [\n              -89.65873718261719,\n              46.13036330589103\n            ],\n            [\n              -89.68242645263672,\n              46.13036330589103\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.73096370697021,\n              45.77300107536654\n            ],\n            [\n              -89.73096370697021,\n              45.78153149170592\n            ],\n            [\n              -89.71843242645264,\n              45.78153149170592\n            ],\n            [\n              -89.71843242645264,\n              45.77300107536654\n            ],\n            [\n              -89.73096370697021,\n              45.77300107536654\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              5.9765625,\n              51.39920565355378\n            ],\n            [\n              5.9765625,\n              77.38950400539731\n            ],\n            [\n              180.35156249999997,\n              77.38950400539731\n            ],\n            [\n              180.35156249999997,\n              51.39920565355378\n            ],\n            [\n              5.9765625,\n              51.39920565355378\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"14","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-28","publicationStatus":"PW","scienceBaseUri":"56f50fb0e4b0f59b85e1ea97","contributors":{"authors":[{"text":"Rawlins, M.A.","contributorId":73445,"corporation":false,"usgs":true,"family":"Rawlins","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":623730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, A. 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,{"id":70191099,"text":"70191099 - 2015 - Combining NLCD and MODIS to create a land cover-albedo database for the continental United States","interactions":[],"lastModifiedDate":"2017-09-26T14:06:20","indexId":"70191099","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Combining NLCD and MODIS to create a land cover-albedo database for the continental United States","docAbstract":"<p><span>Land surface albedo is an essential climate variable that is tightly linked to land cover, such that specific land cover classes (e.g., deciduous broadleaf forest, cropland) have characteristic albedos. Despite the normative of land-cover class specific albedos, there is considerable variability in albedo within a land cover class. The National Land Cover Database (NLCD) and the Moderate Resolution Imaging Spectroradiometer (MODIS) albedo product were combined to produce a long-term (14&nbsp;years) integrated land cover-albedo database for the continental United States that can be used to examine the temporal behavior of albedo as a function of land cover. The integration identifies areas of homogeneous land cover at the nominal spatial resolution of the MODIS (MCD43A) albedo product (500&nbsp;m&nbsp;×&nbsp;500&nbsp;m) from the NLCD product (30&nbsp;m&nbsp;×&nbsp;30&nbsp;m), and provides an albedo data record per 500&nbsp;m&nbsp;×&nbsp;500&nbsp;m pixel for 14 of the 16 NLCD land cover classes. Individual homogeneous land cover pixels have up to 605 albedo observations, and 75% of the pixels have at least 319 MODIS albedo observations (≥&nbsp;50% of the maximum possible number of observations) for the study period (2000–2013). We demonstrated the utility of the database by conducting a multivariate analysis of variance of albedo for each NLCD land cover class, showing that locational (pixel-to-pixel) and inter-annual variability were significant factors in addition to expected seasonal (intra-annual) and geographic (latitudinal) effects.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2015.09.012","usgsCitation":"Wickham, J., Barnes, C., Nash, M., and Wade, T., 2015, Combining NLCD and MODIS to create a land cover-albedo database for the continental United States: Remote Sensing of Environment, v. 170, p. 143-152, https://doi.org/10.1016/j.rse.2015.09.012.","productDescription":"10 p.","startPage":"143","endPage":"152","ipdsId":"IP-069951","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":346099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"170","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59cb6734e4b017cf3141c6a7","contributors":{"authors":[{"text":"Wickham, J.","contributorId":102230,"corporation":false,"usgs":true,"family":"Wickham","given":"J.","email":"","affiliations":[],"preferred":false,"id":711200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnes, Christopher A. 0000-0002-4608-4364 christopher.barnes.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-4608-4364","contributorId":178108,"corporation":false,"usgs":true,"family":"Barnes","given":"Christopher A.","email":"christopher.barnes.ctr@usgs.gov","affiliations":[],"preferred":false,"id":711201,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nash, M.S.","contributorId":43946,"corporation":false,"usgs":true,"family":"Nash","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":711202,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wade, T.G.","contributorId":74113,"corporation":false,"usgs":true,"family":"Wade","given":"T.G.","email":"","affiliations":[],"preferred":false,"id":711203,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70169076,"text":"70169076 - 2015 - The importance of considering shifts in seasonal changes in discharges when predicting future phosphorus loads in streams","interactions":[],"lastModifiedDate":"2016-06-29T12:37:34","indexId":"70169076","displayToPublicDate":"2015-12-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"The importance of considering shifts in seasonal changes in discharges when predicting future phosphorus loads in streams","docAbstract":"<p><span>In this work, we hypothesize that phosphorus (P) concentrations in streams vary seasonally and with streamflow and that it is important to incorporate this variation when predicting changes in P loading associated with climate change. Our study area includes 14 watersheds with a range of land uses throughout the U.S. Great Lakes Basin. We develop annual seasonal load-discharge regression models for each watershed and apply these models with simulated discharges generated for future climate scenarios to simulate future P loading patterns for two periods: 2046&ndash;2065 and 2081&ndash;2100. We utilize output from the Coupled Model Intercomparison Project phase 3 downscaled climate change projections that are input into the Large Basin Runoff Model to generate future discharge scenarios, which are in turn used as inputs to the seasonal P load regression models. In almost all cases, the seasonal load-discharge models match observed loads better than the annual models. Results using the seasonal models show that the concurrence of nonlinearity in the load-discharge model and changes in high discharges in the spring months leads to the most significant changes in P loading for selected tributaries under future climate projections. These results emphasize the importance of using seasonal models to understand the effects of future climate change on nutrient loads.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10533-015-0149-5","usgsCitation":"LaBeau, M.B., Mayer, A.S., Griffis, V., Watkins, D., Robertson, D.M., and Gyawali, R., 2015, The importance of considering shifts in seasonal changes in discharges when predicting future phosphorus loads in streams: Biogeochemistry, v. 126, no. 1-2, p. 153-172, https://doi.org/10.1007/s10533-015-0149-5.","productDescription":"20 p.","startPage":"153","endPage":"172","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065192","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":324616,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"126","issue":"1-2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-30","publicationStatus":"PW","scienceBaseUri":"5774f2ffe4b07dd077c6ad8d","contributors":{"authors":[{"text":"LaBeau, Meredith B.","contributorId":52897,"corporation":false,"usgs":true,"family":"LaBeau","given":"Meredith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":622787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mayer, Alex S.","contributorId":81028,"corporation":false,"usgs":true,"family":"Mayer","given":"Alex","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":622788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Griffis, Veronica","contributorId":167586,"corporation":false,"usgs":false,"family":"Griffis","given":"Veronica","email":"","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":622789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watkins, David Jr.","contributorId":167587,"corporation":false,"usgs":false,"family":"Watkins","given":"David Jr.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":622790,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":622786,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gyawali, Rabi","contributorId":167588,"corporation":false,"usgs":false,"family":"Gyawali","given":"Rabi","email":"","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":622791,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70155862,"text":"70155862 - 2015 - Book review: Natural resources in Afghanistan: Geographic and geologic perspectives on centuries of conflict","interactions":[],"lastModifiedDate":"2016-07-11T14:19:06","indexId":"70155862","displayToPublicDate":"2015-11-30T23:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Natural resources in Afghanistan: Geographic and geologic perspectives on centuries of conflict","docAbstract":"<p><span>This book is the outcome of four decades of work in Afghanistan by the author, John (Jack) Shroder. His travels and research throughout Afghanistan and his understanding of its place in regional and world history provide the foundation for this comprehensive 572-page reference. The book describes the interrelated nature of Afghanistan&rsquo;s physical and political landscape over time and the role resources have, and have not, played in Afghanistan&rsquo;s past and could play in its future.</span></p>\n<p>Review info: Natural resources in Afghanistan: Geographic and geologic perspectives on centuries of conflict&nbsp;by John F. Shroder, 2014. ISBN 978-01280013356, 572 pp.</p>","language":"English","publisher":"Society of Economic Geology","doi":"10.2113/econgeo.110.7.1907","usgsCitation":"Doebrich, J.L., 2015, Book review: Natural resources in Afghanistan: Geographic and geologic perspectives on centuries of conflict: Economic Geology, v. 110, no. 7, p. 1907-1908, https://doi.org/10.2113/econgeo.110.7.1907.","productDescription":"2 p.","startPage":"1907","endPage":"1908","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067097","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":325036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"110","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-22","publicationStatus":"PW","scienceBaseUri":"5784c338e4b0e02680be5913","contributors":{"authors":[{"text":"Doebrich, Jeff L. 0009-0009-3427-0985 jdoebric@usgs.gov","orcid":"https://orcid.org/0009-0009-3427-0985","contributorId":288,"corporation":false,"usgs":true,"family":"Doebrich","given":"Jeff","email":"jdoebric@usgs.gov","middleInitial":"L.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":566617,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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