{"pageNumber":"872","pageRowStart":"21775","pageSize":"25","recordCount":184569,"records":[{"id":70194955,"text":"sir20185007 - 2018 - Data analysis considerations for pesticides determined by National Water Quality Laboratory schedule 2437","interactions":[],"lastModifiedDate":"2021-05-28T14:27:51.335925","indexId":"sir20185007","displayToPublicDate":"2018-04-02T14:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5007","title":"Data analysis considerations for pesticides determined by National Water Quality Laboratory schedule 2437","docAbstract":"In 2013, the U.S. Geological Survey National Water Quality Laboratory (NWQL) made a new method available for the analysis of pesticides in filtered water samples: laboratory schedule 2437. Schedule 2437 is an improvement on previous analytical methods because it determines the concentrations of 225 fungicides, herbicides, insecticides, and associated degradates in one method at similar or lower concentrations than previously available methods. Additionally, the pesticides included in schedule 2437 were strategically identified in a prioritization analysis that assessed likelihood of occurrence, prevalence of use, and potential toxicity. When the NWQL reports pesticide concentrations for analytes in schedule 2437, the laboratory also provides supplemental information useful to data users for assessing method performance and understanding data quality. That supplemental information is discussed in this report, along with an initial analysis of analytical recovery of pesticides in water-quality samples analyzed by schedule 2437 during 2013–2015. A total of 523 field matrix spike samples and their paired environmental samples and 277 laboratory reagent spike samples were analyzed for this report (1,323 samples total). These samples were collected in the field as part of the U.S. Geological Survey National Water-Quality Assessment groundwater and surface-water studies and as part of the NWQL quality-control program. This report reviews how pesticide samples are processed by the NWQL, addresses how to obtain all the data necessary to interpret pesticide concentrations, explains the circumstances that result in a reporting level change or the occurrence of a raised reporting level, and describes the calculation and assessment of recovery. This report also discusses reasons why a data user might choose to exclude data in an interpretive analysis and outlines the approach used to identify the potential for decreased data quality in the assessment of method recovery. The information provided in this report is essential to understanding pesticide data determined by schedule 2437 and should be reviewed before interpretation of these data.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185007","collaboration":"National Water Quality Program","usgsCitation":"Shoda, M.E., Nowell, L.H., Stone, W.W., Sandstrom, M.W., and Bexfield, L.M., 2018, Data analysis considerations for pesticides determined by National Water Quality Laboratory schedule 2437: U.S. Geological Survey Scientific Investigations Report 2018-5007, 458 p., https://doi.org/10.3133/sir20185007.","productDescription":"Report: vi, 458 p.; 2 Data Releases; Table","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-088656","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"links":[{"id":352965,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5007/sir20185007.pdf","text":"Report","size":"7.75 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5007"},{"id":352964,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5007/coverthb.jpg"},{"id":352966,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2018/5007/sir20185007_table4-v4.xlsx","text":"Table 4","size":"75.5 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Summary statistics for the recovery of schedule 2437 pesticides in lab reagent spikes, and groundwater and surface-water spike samples"},{"id":352967,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F75H7DS8","text":"USGS data release","description":"USGS data release","linkHelpText":"National Water-Quality Assessment Project replicate surface water and groundwater pesticide data analyzed by the USGS National Water Quality Laboratory schedule 2437, water years 2013–15"},{"id":352968,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7QZ28G4","text":"USGS data release","description":"USGS data release","linkHelpText":"Recovery data for surface water, groundwater and lab reagent samples analyzed by the USGS National Water Quality Laboratory schedule 2437, water years 2013–15"}],"contact":"

Program Coordinator, National Water Quality Program
U.S. Geological Survey
413 National Center
12201 Sunrise Valley Drive
Reston, VA 20192

","tableOfContents":"","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2018-04-02","noUsgsAuthors":false,"publicationDate":"2018-04-02","publicationStatus":"PW","scienceBaseUri":"5afee6eae4b0da30c1bfbf57","contributors":{"authors":[{"text":"Shoda, Megan E. 0000-0002-5343-9717 meshoda@usgs.gov","orcid":"https://orcid.org/0000-0002-5343-9717","contributorId":4352,"corporation":false,"usgs":true,"family":"Shoda","given":"Megan","email":"meshoda@usgs.gov","middleInitial":"E.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":726274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":726275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, Wesley W. 0000-0003-0239-2063 wwstone@usgs.gov","orcid":"https://orcid.org/0000-0003-0239-2063","contributorId":1496,"corporation":false,"usgs":true,"family":"Stone","given":"Wesley","email":"wwstone@usgs.gov","middleInitial":"W.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":726276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":726277,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bexfield, Laura M. 0000-0002-1789-654X bexfield@usgs.gov","orcid":"https://orcid.org/0000-0002-1789-654X","contributorId":1273,"corporation":false,"usgs":true,"family":"Bexfield","given":"Laura","email":"bexfield@usgs.gov","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":726278,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198730,"text":"70198730 - 2018 - Evaluating micrometeorological estimates of groundwater discharge from Great Basin desert playas","interactions":[],"lastModifiedDate":"2018-11-14T09:52:43","indexId":"70198730","displayToPublicDate":"2018-04-02T11:33:10","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating micrometeorological estimates of groundwater discharge from Great Basin desert playas","docAbstract":"

Groundwater availability studies in the arid southwestern United States traditionally have assumed that groundwater discharge by evapotranspiration (ETg) from desert playas is a significant component of the groundwater budget. However, desert playa ETg rates are poorly constrained by Bowen Ratio energy budget (BREB) and eddy-covariance (EC) micrometeorological measurement approaches. Best attempts by previous studies to constrain ETg from desert playas have resulted in ETg rates that are within the measurement error of micrometeorological approaches. This study uses numerical models to further constrain desert playa ETg rates that are within the measurement error of BREB and EC approaches, and to evaluate the effect of hydraulic properties and salinity-based groundwater-density contrasts on desert playa ETg rates. Numerical models simulated ETg rates from desert playas in Death Valley, California and Dixie Valley, Nevada. Results indicate that actual ETg rates from desert playas are significantly below the uncertainty thresholds of BREB- and EC-based micrometeorological measurements. Discharge from desert playas likely contributes less than 2 percent of total groundwater discharge from Dixie and Death Valleys, which suggests discharge from desert playas also is negligible in other basins. Simulation results also show that ETg from desert playas primarily is limited by differences in hydraulic properties between alluvial fan and playa sediments and, to a lesser extent, by salinity-based groundwater density contrasts.

","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12647","usgsCitation":"Jackson, T., Halford, K.J., Gardner, P.M., and Garcia, A., 2018, Evaluating micrometeorological estimates of groundwater discharge from Great Basin desert playas: Ground Water, v. 56, no. 6, p. 909-920, https://doi.org/10.1111/gwat.12647.","productDescription":"12 p.","startPage":"909","endPage":"920","ipdsId":"IP-067348","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":488351,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1429589","text":"External Repository"},{"id":356588,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-26","publicationStatus":"PW","scienceBaseUri":"5b98a2e1e4b0702d0e843003","contributors":{"authors":[{"text":"Jackson, Tracie 0000-0001-8553-0323 tjackson@usgs.gov","orcid":"https://orcid.org/0000-0001-8553-0323","contributorId":193845,"corporation":false,"usgs":true,"family":"Jackson","given":"Tracie","email":"tjackson@usgs.gov","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":742760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Halford, Keith J. 0000-0002-7322-1846 khalford@usgs.gov","orcid":"https://orcid.org/0000-0002-7322-1846","contributorId":1374,"corporation":false,"usgs":true,"family":"Halford","given":"Keith","email":"khalford@usgs.gov","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":742761,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gardner, Philip M. 0000-0003-3005-3587 pgardner@usgs.gov","orcid":"https://orcid.org/0000-0003-3005-3587","contributorId":962,"corporation":false,"usgs":true,"family":"Gardner","given":"Philip","email":"pgardner@usgs.gov","middleInitial":"M.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":742762,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia, Amanda 0000-0003-3776-3565 cgarcia@usgs.gov","orcid":"https://orcid.org/0000-0003-3776-3565","contributorId":208515,"corporation":false,"usgs":false,"family":"Garcia","given":"Amanda","email":"cgarcia@usgs.gov","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":false,"id":747519,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70200547,"text":"70200547 - 2018 - Presentation of the Dana Medal of the Mineralogical Society of America for 2017 to Thomas W. Sisson","interactions":[],"lastModifiedDate":"2018-10-24T11:32:50","indexId":"70200547","displayToPublicDate":"2018-04-02T11:32:42","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":738,"text":"American Mineralogist","active":true,"publicationSubtype":{"id":10}},"title":"Presentation of the Dana Medal of the Mineralogical Society of America for 2017 to Thomas W. Sisson","docAbstract":"I have the pleasure of introducing Thomas W. Sisson, the Mineralogical Society of America Dana Medalist for 2017. Tom is known for his scientific rigor and landmark publications that have contributed to a diverse spectrum of fields closely tied to the mineralogical sciences. He is particularly recognized for his work on magma differentiation and the role of water in subduction-related magmatism. Beginning with his Ph.D. research with Tim Grove, Tom's early papers showcase difficult high-temperature experiments on hydrous basalt and magmatic processes recorded by the Sierra Nevada batholith. This landmark work was soon followed by ion microprobe measurements of dissolved water concentrations in melt inclusions from a range of arc basalts and by infrared spectrometric determinations of dissolved H2O and CO2 concentrations in unusually primitive arc basalt.","language":"English","publisher":"Mineralogical Society of America","doi":"10.2138/am-2018-AP10345","usgsCitation":"Bacon, C.R., 2018, Presentation of the Dana Medal of the Mineralogical Society of America for 2017 to Thomas W. Sisson: American Mineralogist, v. 103, no. 4, p. 651-652, https://doi.org/10.2138/am-2018-AP10345.","productDescription":"2 p.","startPage":"651","endPage":"652","ipdsId":"IP-091475","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":468860,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2138/am-2018-ap10345","text":"Publisher Index Page"},{"id":358737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"103","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a9e0e4b034bf6a7e54f0","contributors":{"authors":[{"text":"Bacon, Charles R. 0000-0002-2165-5618 cbacon@usgs.gov","orcid":"https://orcid.org/0000-0002-2165-5618","contributorId":2909,"corporation":false,"usgs":true,"family":"Bacon","given":"Charles","email":"cbacon@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":749480,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70248920,"text":"70248920 - 2018 - High frequency data exposes nonlinear seasonal controls on dissolved organic matter in a large watershed","interactions":[],"lastModifiedDate":"2023-09-26T12:10:32.30659","indexId":"70248920","displayToPublicDate":"2018-04-02T07:08:53","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"High frequency data exposes nonlinear seasonal controls on dissolved organic matter in a large watershed","docAbstract":"

We analyzed a five year, high frequency time series generated by an in situ fluorescent dissolved organic matter (fDOM) sensor installed near the Connecticut River’s mouth, investigating high temporal resolution DOM dynamics in a larger watershed and longer time series than previously addressed. We identified a gradient between large, saturating summer fDOM responses to discharge and linear, subdued responses during colder months. Seasonal response patterns were not consistent with multiple linear regression. Alternatively, we binned measurements across the yearly cycle using environmental indices, such as temperature, and applied moving regression, a novel approach which produced superior fits to calendar day binning. Spatially averaged watershed soil temperature at 10 cm was the best overall index of discharge-fDOM response. DOM fractionation showed fDOM was primarily a surrogate for hydrophobic organic acid (HPOA) concentrations. HPOAs were highly correlated with discharge, but hydrophilics (HPIs) were not. Discharge dependent DOM concentrations driven by the HPOA fraction may be controlled by soil temperature and water table position relative to organic and mineral soil horizons. HPI concentrations were correlated with average watershed soil temperature at 10 cm but were rather stationary throughout the year, further indicating a consistent groundwater source for this nonfluorescent DOM. We present a resolved subseasonal empirical model of DOM concentrations and fluxes, showing that riverine DOM flux and quality depend heavily on seasonal terrestrial carbon dynamics and hydrologic flow paths. High frequency monitoring reveals readily discernible patterns demonstrating that upland biogeochemical signals are maintained even at this large watershed scale.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.7b04579","usgsCitation":"Shultz, M., Pellerin, B., Aiken, G., Martin, J., and Raymond, P., 2018, High frequency data exposes nonlinear seasonal controls on dissolved organic matter in a large watershed: Environmental Science and Technology, v. 52, no. 10, p. 5644-5652, https://doi.org/10.1021/acs.est.7b04579.","productDescription":"9 p.","startPage":"5644","endPage":"5652","ipdsId":"IP-090811","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":421163,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"10","noUsgsAuthors":false,"publicationDate":"2018-04-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Shultz, Matthew","contributorId":330173,"corporation":false,"usgs":false,"family":"Shultz","given":"Matthew","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":884211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pellerin, Brian A. 0000-0003-3712-7884","orcid":"https://orcid.org/0000-0003-3712-7884","contributorId":204324,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian A.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":884212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aiken, George 0000-0001-8454-0984","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":208803,"corporation":false,"usgs":true,"family":"Aiken","given":"George","affiliations":[],"preferred":true,"id":884213,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Joseph W. 0000-0002-5995-9385","orcid":"https://orcid.org/0000-0002-5995-9385","contributorId":203256,"corporation":false,"usgs":true,"family":"Martin","given":"Joseph W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":884214,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Raymond, Peter","contributorId":330174,"corporation":false,"usgs":false,"family":"Raymond","given":"Peter","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":884215,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196283,"text":"ofr20181040 - 2018 - Trends and habitat associations of waterbirds using the South Bay Salt Pond Restoration Project, San Francisco Bay, California","interactions":[],"lastModifiedDate":"2018-04-03T14:48:02","indexId":"ofr20181040","displayToPublicDate":"2018-04-02T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1040","title":"Trends and habitat associations of waterbirds using the South Bay Salt Pond Restoration Project, San Francisco Bay, California","docAbstract":"

Executive Summary

The aim of the South Bay Salt Pond Restoration Project (hereinafter “Project”) is to restore 50–90 percent of former salt evaporation ponds to tidal marsh in San Francisco Bay (SFB). However, hundreds of thousands of waterbirds use these ponds over winter and during fall and spring migration. To ensure that existing waterbird populations are supported while tidal marsh is restored in the Project area, managers plan to enhance the habitat suitability of ponds by adding islands and berms to change pond topography, manipulating water salinity and depth, and selecting appropriate ponds to maintain for birds. To help inform these actions, we used 13 years of monthly (October–April) bird abundance data from Project ponds to (1) assess trends in waterbird abundance since the inception of the Project, and (2) evaluate which pond habitat characteristics were associated with highest abundances of different avian guilds and species. For comparison, we also evaluated waterbird abundance trends in active salt production ponds using 10 years of monthly survey data.

We assessed bird guild and species abundance trends through time, and created separate trend curves for Project and salt production ponds using data from every pond that was counted in a year. We divided abundance data into three seasons—fall (October–November), winter (December–February), and spring (March–April). We used the resulting curves to assess which periods had the highest bird abundance and to identify increasing or decreasing trends for each guild and species.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181040","usgsCitation":"De La Cruz, S.E.W., Smith, L.M., Moskal, S.M., Strong, C., Krause, J., Wang, Y., and Takekawa, J.Y., 2018, Trends and habitat associations of waterbirds using the South Bay Salt Pond Restoration Project, San Francisco Bay, California: U.S. Geological Survey Open-File Report 2018–1040, 136 p., https://doi.org/10.3133/ofr20181040.","productDescription":"viii, 136 p.","numberOfPages":"148","onlineOnly":"Y","ipdsId":"IP-080192","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":353069,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1040/coverthb.jpg"},{"id":353070,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1040/ofr20181040.pdf","text":"Report","size":"6.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1040"}],"country":"United States","state":"California","otherGeospatial":"South San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.20642089843749,\n 37.406164630829345\n ],\n [\n -121.90704345703124,\n 37.406164630829345\n ],\n [\n -121.90704345703124,\n 37.645771969647\n ],\n [\n -122.20642089843749,\n 37.645771969647\n ],\n [\n -122.20642089843749,\n 37.406164630829345\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819

","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2018-04-02","noUsgsAuthors":false,"publicationDate":"2018-04-02","publicationStatus":"PW","scienceBaseUri":"5afee6ebe4b0da30c1bfbf69","contributors":{"authors":[{"text":"De La Cruz, Susan E.W. 0000-0001-6315-0864 sdelacruz@usgs.gov","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":3248,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"sdelacruz@usgs.gov","middleInitial":"E.W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":732095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Lacy M. 0000-0001-6733-1080 lmsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6733-1080","contributorId":4772,"corporation":false,"usgs":true,"family":"Smith","given":"Lacy","email":"lmsmith@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":732096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moskal, Stacy M. smoskal@usgs.gov","contributorId":4189,"corporation":false,"usgs":true,"family":"Moskal","given":"Stacy","email":"smoskal@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":732097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Strong, Cheryl","contributorId":149428,"corporation":false,"usgs":false,"family":"Strong","given":"Cheryl","email":"","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":732098,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krause, John","contributorId":203686,"corporation":false,"usgs":false,"family":"Krause","given":"John","email":"","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":732099,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Yiwei","contributorId":203687,"corporation":false,"usgs":false,"family":"Wang","given":"Yiwei","email":"","affiliations":[{"id":17738,"text":"San Francisco Bay Bird Observatory","active":true,"usgs":false}],"preferred":false,"id":732100,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":196611,"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":true,"id":732101,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70196305,"text":"70196305 - 2018 - Common hydraulic fracturing fluid additives alter the structure and function of anaerobic microbial communities","interactions":[],"lastModifiedDate":"2018-07-23T12:45:45","indexId":"70196305","displayToPublicDate":"2018-04-02T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Common hydraulic fracturing fluid additives alter the structure and function of anaerobic microbial communities","docAbstract":"

The development of unconventional oil and gas (UOG) resources results in the production of large volumes of wastewater containing a complex mixture of hydraulic fracturing chemical additives and components from the formation. The release of these wastewaters into the environment poses potential risks that are poorly understood. Microbial communities in stream sediments form the base of the food chain and may serve as sentinels for changes in stream health. Iron-reducing organisms have been shown to play a role in the biodegradation of a wide range of organic compounds, and so to evaluate their response to UOG wastewater, we enriched anaerobic microbial communities from sediments collected upstream (background) and downstream (impacted) of an UOG wastewater injection disposal facility in the presence of hydraulic fracturing fluid (HFF) additives: guar gum, ethylene glycol, and two biocides, 2,2-dibromo-3-nitrilopropionamide (DBNPA) and bronopol (C3H6BrNO4). Iron reduction was significantly inhibited early in the incubations with the addition of biocides, whereas amendment with guar gum and ethylene glycol stimulated iron reduction relative to levels in the unamended controls. Changes in the microbial community structure were observed across all treatments, indicating the potential for even small amounts of UOG wastewater components to influence natural microbial processes. The microbial community structure differed between enrichments with background and impacted sediments, suggesting that impacted sediments may have been preconditioned by exposure to wastewater. These experiments demonstrated the potential for biocides to significantly decrease iron reduction rates immediately following a spill and demonstrated how microbial communities previously exposed to UOG wastewater may be more resilient to additional spills.

","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/AEM.02729-17","usgsCitation":"Mumford, A.C., Akob, D.M., Klinges, J.G., and Cozzarelli, I.M., 2018, Common hydraulic fracturing fluid additives alter the structure and function of anaerobic microbial communities: Applied and Environmental Microbiology, v. 84, no. 8, p. 1-16, https://doi.org/10.1128/AEM.02729-17.","productDescription":"e02729-17; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-089088","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37273,"text":"Advanced Research Computing (ARC)","active":true,"usgs":true}],"links":[{"id":468862,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1128/aem.02729-17","text":"External Repository"},{"id":353032,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"84","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6eae4b0da30c1bfbf67","contributors":{"authors":[{"text":"Mumford, Adam C. 0000-0002-8082-8910 amumford@usgs.gov","orcid":"https://orcid.org/0000-0002-8082-8910","contributorId":197795,"corporation":false,"usgs":true,"family":"Mumford","given":"Adam","email":"amumford@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":732248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Akob, Denise M. 0000-0003-1534-3025 dakob@usgs.gov","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":4980,"corporation":false,"usgs":true,"family":"Akob","given":"Denise","email":"dakob@usgs.gov","middleInitial":"M.","affiliations":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":732249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klinges, J. Grace 0000-0003-3172-133X","orcid":"https://orcid.org/0000-0003-3172-133X","contributorId":203763,"corporation":false,"usgs":false,"family":"Klinges","given":"J.","email":"","middleInitial":"Grace","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":732250,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":732251,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196308,"text":"70196308 - 2018 - Relaxed impact craters on Ganymede: Regional variation and high heat flows","interactions":[],"lastModifiedDate":"2018-04-02T13:00:19","indexId":"70196308","displayToPublicDate":"2018-04-02T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Relaxed impact craters on Ganymede: Regional variation and high heat flows","docAbstract":"

Viscously relaxed craters provide a window into the thermal history of Ganymede, a satellite with copious geologic signs of past high heat flows. Here we present measurements of relaxed craters in four regions for which suitable imaging exists: near Anshar Sulcus, Tiamat Sulcus, northern Marius Regio, and Ganymede's south pole. We describe a technique to measure apparent depth, or depth of the crater with respect to the surrounding terrain elevation. Measured relaxation states are compared with results from finite element modeling to constrain heat flow scenarios [see companion paper: Bland et al. (2017)]. The presence of numerous, substantially relaxed craters indicates high heat flows—in excess of 30–40 mW m−2 over 2 Gyr, with many small (<10 km in diameter) relaxed craters indicating even higher heat flows. Crater relaxation states are bimodal for some equatorial regions but not in the region studied near the south pole, which suggests regional variations in Ganymede's thermal history.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2018.01.012","usgsCitation":"Singer, K.N., Bland, M.T., Schenk, P.M., and McKinnon, W.B., 2018, Relaxed impact craters on Ganymede: Regional variation and high heat flows: Icarus, v. 306, p. 214-224, https://doi.org/10.1016/j.icarus.2018.01.012.","productDescription":"11 p.","startPage":"214","endPage":"224","ipdsId":"IP-085512","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":353036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"306","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6eae4b0da30c1bfbf63","contributors":{"authors":[{"text":"Singer, Kelsi N.","contributorId":196151,"corporation":false,"usgs":false,"family":"Singer","given":"Kelsi","email":"","middleInitial":"N.","affiliations":[{"id":7037,"text":"Southwest Research Institute, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":732267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bland, Michael T. 0000-0001-5543-1519 mbland@usgs.gov","orcid":"https://orcid.org/0000-0001-5543-1519","contributorId":146287,"corporation":false,"usgs":true,"family":"Bland","given":"Michael","email":"mbland@usgs.gov","middleInitial":"T.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":732266,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schenk, Paul M.","contributorId":172682,"corporation":false,"usgs":false,"family":"Schenk","given":"Paul","email":"","middleInitial":"M.","affiliations":[{"id":27077,"text":"Lunar and Planetary Inst.","active":true,"usgs":false}],"preferred":false,"id":732268,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKinnon, William B.","contributorId":196152,"corporation":false,"usgs":false,"family":"McKinnon","given":"William","email":"","middleInitial":"B.","affiliations":[{"id":16661,"text":"Washington University in Saint Louis","active":true,"usgs":false}],"preferred":false,"id":732269,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196330,"text":"70196330 - 2018 - Computational fluid dynamics simulations of the Late Pleistocene Lake Bonneville flood","interactions":[],"lastModifiedDate":"2018-04-03T13:48:19","indexId":"70196330","displayToPublicDate":"2018-04-02T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Computational fluid dynamics simulations of the Late Pleistocene Lake Bonneville flood","docAbstract":"

At approximately 18.0 ka, pluvial Lake Bonneville reached its maximum level. At its northeastern extent it was impounded by alluvium of the Marsh Creek Fan, which breached at some point north of Red Rock Pass (Idaho), leading to one of the largest floods on Earth. About 5320 km3 of water was discharged into the Snake River drainage and ultimately into the Columbia River. We use a 0D model and a 2D non-linear depth-averaged hydrodynamic model to aid understanding of outflow dynamics, specifically evaluating controls on the amount of water exiting the Lake Bonneville basin exerted by the Red Rock Pass outlet lithology and geometry as well as those imposed by the internal lake geometry of the Bonneville basin. These models are based on field evidence of prominent lake levels, hypsometry and terrain elevations corrected for post-flood isostatic deformation of the lake basin, as well as reconstructions of the topography at the outlet for both the initial and final stages of the flood. Internal flow dynamics in the northern Lake Bonneville basin during the flood were affected by the narrow passages separating the Cache Valley from the main body of Lake Bonneville. This constriction imposed a water-level drop of up to 2.7 m at the time of peak-flow conditions and likely reduced the peak discharge at the lake outlet by about 6%. The modeled peak outlet flow is 0.85·106 m3 s−1. Energy balance calculations give an estimate for the erodibility coefficient for the alluvial Marsh Creek divide of ∼0.005 m y−1 Pa−1.5, at least two orders of magnitude greater than for the underlying bedrock at the outlet. Computing quasi steady-state water flows, water elevations, water currents and shear stresses as a function of the water-level drop in the lake and for the sequential stages of erosion in the outlet gives estimates of the incision rates and an estimate of the outflow hydrograph during the Bonneville Flood: About 18 days would have been required for the outflow to grow from 10% to 100% of its peak value. At the time of peak flow, about 10% of the lake volume would have already exited; eroding about 1 km3 of alluvium from the outlet, and the lake level would have dropped by about 10.6 m.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2018.03.065","usgsCitation":"Abril-Hernandez, J.M., Perianez, R., O'Connor, J., and Garcia-Castellanos, D., 2018, Computational fluid dynamics simulations of the Late Pleistocene Lake Bonneville flood: Journal of Hydrology, v. 561, p. 1-15, https://doi.org/10.1016/j.jhydrol.2018.03.065.","productDescription":"15 p.","startPage":"1","endPage":"15","ipdsId":"IP-096400","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":487510,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://idus.us.es/handle//11441/129885","text":"External Repository"},{"id":353067,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Bonneville","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.5,\n 38\n ],\n [\n -111.5,\n 38\n ],\n [\n -111.5,\n 42.5\n ],\n [\n -114.5,\n 42.5\n ],\n [\n -114.5,\n 38\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"561","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6eae4b0da30c1bfbf5b","contributors":{"authors":[{"text":"Abril-Hernandez, Jose M.","contributorId":203798,"corporation":false,"usgs":false,"family":"Abril-Hernandez","given":"Jose","email":"","middleInitial":"M.","affiliations":[{"id":36718,"text":"University of Seville, Departamento de Física Aplicada I, ETSIA, Sevilla, Spain.","active":true,"usgs":false}],"preferred":false,"id":732348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perianez, Raul","contributorId":203799,"corporation":false,"usgs":false,"family":"Perianez","given":"Raul","email":"","affiliations":[{"id":36719,"text":"University of Seville, Departamento de Física Aplicada I, ETSIA, Sevilla, Spain","active":true,"usgs":false}],"preferred":false,"id":732349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":732347,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia-Castellanos, Daniel","contributorId":203800,"corporation":false,"usgs":false,"family":"Garcia-Castellanos","given":"Daniel","email":"","affiliations":[{"id":36720,"text":"Instituto de Ciencias de la Tierra Jaume Almera, ICTJA-CSIC, Solé i Sabarís s/n, 08028 Barcelona, Spain","active":true,"usgs":false}],"preferred":false,"id":732350,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196189,"text":"ofr20181039 - 2018 - Phase 1 studies summary of major findings of the South Bay Salt Pond Restoration Project, South San Francisco Bay, California","interactions":[],"lastModifiedDate":"2018-04-03T14:43:48","indexId":"ofr20181039","displayToPublicDate":"2018-04-02T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1039","title":"Phase 1 studies summary of major findings of the South Bay Salt Pond Restoration Project, South San Francisco Bay, California","docAbstract":"

Executive Summary

The South Bay Salt Pond Restoration Project (Project) is one of the largest restoration efforts in the United States. It is located in South San Francisco Bay of California. It is unique not only for its size—more than 15,000 acres—but also for its location adjacent to one of the nation’s largest urban areas, home to more than 4 million people (Alameda, Santa Clara, and San Mateo Counties). The Project is intended to restore and enhance wetlands in South San Francisco Bay while providing for flood management, wildlife-oriented public access, and recreation. Restoration goals of the project are to provide a mosaic of saltmarsh habitat to benefit marsh species and managed ponds to benefit waterbirds, throughout 3 complexes and 54 former salt ponds.

Although much is known about the project area, significant uncertainties remain with a project of this geographic and temporal scale of an estimated 50 years to complete the restoration. For example, in order to convert anywhere from 50 to 90 percent of the existing managed ponds to saltmarsh habitat, conservation managers first enhance the habitat of managed ponds in order to increase use by waterbirds, and provide migratory, wintering, and nesting habitat for more than 90 species of waterbirds. Project managers have concluded that the best way to address these uncertainties is to carefully implement the project in phases and learn from the outcome of each phase. The Adaptive Management Plan (AMP) identifies specific restoration targets for multiple aspects of the Project and defines triggers that would necessitate some type of management action if a particular aspect is trending negatively. U.S. Geological Survey (USGS) biologist Laura Valoppi served as the project Lead Scientist and oversaw implementation of the AMP in coordination with other members of the Project Management Team (PMT), comprised of representatives from the California State Coastal Conservancy, California Department of Fish and Wildlife, the Santa Clara Valley Water District, the U.S. Army Corps of Engineers, and the U.S. Fish and Wildlife Service.

To implement the AMP, the PMT have selected and funded applied studies and monitoring projects to address key uncertainties. This information is used by the PMT to make decisions about current management of the project area and future restoration actions in order to meet project.

This document summarizes the major scientific findings from studies conducted from 2009 to 2016, as part of the science program that was conducted in conjunction with Phase 1 restoration and management actions. Additionally, this report summarizes the management response to the study results under the guidance of the AMP framework and provides a list of suggested studies to be conducted in “Phase 2–A scorecard summarizing the Project’s progress toward meeting the AMP goals for a range of Project objectives.” The scoring to date indicates that the Project is meeting or exceeding expectations for sediment accretion and western snowy plover (Charadrius alexandrinus nivosus) recovery. There is uncertainty with respect to objectives for California gulls (Larus californicus), California least tern (Sternula antillarum), steelhead trout (Oncorhynchus mykiss), and regulatory water quality objectives. Water quality and algal blooms, specifically of the managed ponds, is indicated as trending negative. However, the vast majority of objectives are trending positive, including increased abundance for a number of bird guilds, increasing marsh habitat, maintenance of mudflats, visitor experience, estuarine fish numbers, and special-status marsh species numbers.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181039","collaboration":"Prepared for South Bay Salt Pond Restoration Project","usgsCitation":"Valoppi, L., 2018, Phase 1 studies summary of major findings of the South Bay Salt Pond Restoration Project, South San Francisco Bay, California: U.S. Geological Survey Open-File Report 2018–1039, 58 p., plus appendixes, https://doi.org/10.3133/ofr20181039.","productDescription":"Report: vi, 58 p.; 3 Appendixes","numberOfPages":"68","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-081943","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":353042,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1039/ofr20181039.pdf","text":"Report","size":"10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1039"},{"id":353041,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1039/coverthb.jpg"},{"id":353043,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2018/1039/ofr20181039_appendix01.pdf","text":"Appendix 1","size":"401 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1039 Appendix 1"},{"id":353044,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2018/1039/ofr20181039_appendix02.pdf","text":"Appendix 2","size":"265 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1039 Appendix 2"},{"id":353045,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2018/1039/ofr20181039_appendix03.pdf","text":"Appendix 3","size":"216 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1039 Appendix 3"}],"country":"United States","state":"California","otherGeospatial":"South San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.33688354492188,\n 37.36797435878155\n ],\n [\n -121.86309814453124,\n 37.36797435878155\n ],\n [\n -121.86309814453124,\n 37.654470456416256\n ],\n [\n -122.33688354492188,\n 37.654470456416256\n ],\n [\n -122.33688354492188,\n 37.36797435878155\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819

","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2018-04-02","noUsgsAuthors":false,"publicationDate":"2018-04-02","publicationStatus":"PW","scienceBaseUri":"5afee6ebe4b0da30c1bfbf6b","contributors":{"authors":[{"text":"Valoppi, Laura 0000-0001-9177-3858 laura_valoppi@usgs.gov","orcid":"https://orcid.org/0000-0001-9177-3858","contributorId":203471,"corporation":false,"usgs":true,"family":"Valoppi","given":"Laura","email":"laura_valoppi@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":731585,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70196316,"text":"70196316 - 2018 - Sperm quality biomarkers complement reproductive and endocrine parameters in investigating environmental contaminants in common carp (Cyprinus carpio) from the Lake Mead National Recreation Area","interactions":[],"lastModifiedDate":"2018-04-02T14:32:31","indexId":"70196316","displayToPublicDate":"2018-04-02T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1561,"text":"Environmental Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Sperm quality biomarkers complement reproductive and endocrine parameters in investigating environmental contaminants in common carp (Cyprinus carpio) from the Lake Mead National Recreation Area","title":"Sperm quality biomarkers complement reproductive and endocrine parameters in investigating environmental contaminants in common carp (Cyprinus carpio) from the Lake Mead National Recreation Area","docAbstract":"

Lake Mead National Recreational Area (LMNRA) serves as critical habitat for several federally listed species and supplies water for municipal, domestic, and agricultural use in the Southwestern U.S. Contaminant sources and concentrations vary among the sub-basins within LMNRA. To investigate whether exposure to environmental contaminants is associated with alterations in male common carp (Cyprinus carpio) gamete quality and endocrine- and reproductive parameters, data were collected among sub-basins over 7 years (1999–2006). Endpoints included sperm quality parameters of motility, viability, mitochondrial membrane potential, count, morphology, and DNA fragmentation; plasma components were vitellogenin (VTG), 17ß-estradiol, 11-keto-testosterone, triiodothyronine, and thyroxine. Fish condition factor, gonadosomatic index, and gonadal histology parameters were also measured. Diminished biomarker effects were noted in 2006, and sub-basin differences were indicated by the irregular occurrences of contaminants and by several associations between chemicals (e.g., polychlorinated biphenyls, hexachlorobenzene, galaxolide, and methyl triclosan) and biomarkers (e.g., plasma thyroxine, sperm motility and DNA fragmentation). By 2006, sex steroid hormone and VTG levels decreased with subsequent reduced endocrine disrupting effects. The sperm quality bioassays developed and applied with carp complemented endocrine and reproductive data, and can be adapted for use with other species.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.envres.2018.01.041","usgsCitation":"Jenkins, J.A., Rosen, M.R., Dale, R.O., Echols, K.R., Torres, L., Wieser, C.M., Kersten, C.A., and Goodbred, S., 2018, Sperm quality biomarkers complement reproductive and endocrine parameters in investigating environmental contaminants in common carp (Cyprinus carpio) from the Lake Mead National Recreation Area: Environmental Research, v. 163, p. 149-164, https://doi.org/10.1016/j.envres.2018.01.041.","productDescription":"16 p.","startPage":"149","endPage":"164","ipdsId":"IP-087819","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468863,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envres.2018.01.041","text":"Publisher Index Page"},{"id":437967,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7NS0SS8","text":"USGS data release","linkHelpText":"Sperm quality biomarkers complement reproductive and endocrine parameters in investigating environmental contaminants in common carp (Cyprinus carpio) from the Lake Mead National Recreation Area (1999-2006)"},{"id":353048,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Mead National Recreation Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.05020141601561,\n 35.84008157153468\n ],\n [\n -113.78402709960936,\n 35.84008157153468\n ],\n [\n -113.78402709960936,\n 36.55046568575947\n ],\n [\n -115.05020141601561,\n 36.55046568575947\n ],\n [\n -115.05020141601561,\n 35.84008157153468\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"163","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6eae4b0da30c1bfbf61","contributors":{"authors":[{"text":"Jenkins, Jill A. 0000-0002-5087-0894 jenkinsj@usgs.gov","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":2710,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jill","email":"jenkinsj@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":732288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":732289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dale, Rassa O. 0000-0001-8532-3287 daler@usgs.gov","orcid":"https://orcid.org/0000-0001-8532-3287","contributorId":3215,"corporation":false,"usgs":true,"family":"Dale","given":"Rassa","email":"daler@usgs.gov","middleInitial":"O.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":732290,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Echols, Kathy R. 0000-0003-2631-9143 kechols@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-9143","contributorId":2799,"corporation":false,"usgs":true,"family":"Echols","given":"Kathy","email":"kechols@usgs.gov","middleInitial":"R.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":732291,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Torres, Leticia","contributorId":143738,"corporation":false,"usgs":false,"family":"Torres","given":"Leticia","email":"","affiliations":[],"preferred":false,"id":732292,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wieser, Carla M. 0000-0002-4342-444X cwieser@usgs.gov","orcid":"https://orcid.org/0000-0002-4342-444X","contributorId":3682,"corporation":false,"usgs":true,"family":"Wieser","given":"Carla","email":"cwieser@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":732293,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kersten, Constance A.","contributorId":201844,"corporation":false,"usgs":false,"family":"Kersten","given":"Constance","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":732294,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goodbred, S. 0000-0001-7626-9864 sgoodbred@usgs.gov","orcid":"https://orcid.org/0000-0001-7626-9864","contributorId":194510,"corporation":false,"usgs":true,"family":"Goodbred","given":"S.","email":"sgoodbred@usgs.gov","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":false,"id":732295,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70196307,"text":"70196307 - 2018 - Reduced swimming performance repeatedly evolves upon loss of migration in landlocked populations of Alewife","interactions":[],"lastModifiedDate":"2020-05-01T16:44:14.305205","indexId":"70196307","displayToPublicDate":"2018-04-02T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3075,"text":"Physiological and Biochemical Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Reduced swimming performance repeatedly evolves upon loss of migration in landlocked populations of Alewife","docAbstract":"

Whole-organism performance tasks are accomplished by the integration of morphological traits and physiological functions. Understanding how evolutionary change in morphology and physiology influences whole-organism performance will yield insight into the factors that shape its own evolution. We demonstrate that nonmigratory populations of alewife (Alosa pseudoharengus) have evolved reduced swimming performance in parallel, compared with their migratory ancestor. In contrast to theoretically and empirically based predictions, poor swimming among nonmigratory populations is unrelated to the evolution of osmoregulation and occurs despite the fact that nonmigratory alewives have a more fusiform (torpedo-like) body shape than their ancestor. Our results suggest that elimination of long-distance migration from the life cycle has shaped performance more than changes in body shape and physiological regulatory capacity.

","language":"English","publisher":"The University of Chicago Press","doi":"10.1086/696877","usgsCitation":"Velotta, J.P., McCormick, S.D., Jones, A.W., and Schultz, E.T., 2018, Reduced swimming performance repeatedly evolves upon loss of migration in landlocked populations of Alewife: Physiological and Biochemical Zoology, v. 91, no. 2, p. 814-825, https://doi.org/10.1086/696877.","productDescription":"12 p.","startPage":"814","endPage":"825","ipdsId":"IP-086023","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":468861,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/9540","text":"External Repository"},{"id":353039,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6eae4b0da30c1bfbf65","contributors":{"authors":[{"text":"Velotta, Jonathan P.","contributorId":86281,"corporation":false,"usgs":true,"family":"Velotta","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":732263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":732262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Andrew W.","contributorId":203766,"corporation":false,"usgs":false,"family":"Jones","given":"Andrew","email":"","middleInitial":"W.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":732264,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schultz, Eric T.","contributorId":139206,"corporation":false,"usgs":false,"family":"Schultz","given":"Eric","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":732265,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196331,"text":"70196331 - 2018 - James Dwight Dana and John Strong Newberry in the US Pacific Northwest: The roots of American fluvialism","interactions":[],"lastModifiedDate":"2018-04-02T16:18:36","indexId":"70196331","displayToPublicDate":"2018-04-02T00:00:00","publicationYear":"2018","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":"James Dwight Dana and John Strong Newberry in the US Pacific Northwest: The roots of American fluvialism","docAbstract":"

Recognition of the power of rivers to carve landscapes transformed geology and geomorphology in the late nineteenth century. Wide acceptance of this concept—then known as “fluvialism”—owes to many factors and people, several associated with exploration of western North America. Especially famous are the federal geographic and geologic surveys of the US Southwest with John Wesley Powell and Grove Karl Gilbert, which produced key insights regarding river processes. Yet earlier and less-known surveys also engaged young geologists embarking on tremendously influential careers, particularly the 1838–1842 US Exploring Expedition with James Dwight Dana and the 1853–1855 railroad surveys including John Strong Newberry. Informed but little constrained by European and British perspectives on landscape formation, Dana and Newberry built compelling cases for the erosive power of rivers, largely from observations in the US Pacific Northwest. They seeded the insights of the later southwestern surveys, Dana by his writings and station at Yale and his hugely influential Manual of Geology, published in 1863, and Newberry by becoming the first geologist to explore the dramatic river-carved canyons of the Southwest and then a forceful proponent of the federal surveys spotlighting the erosional landscapes. Newberry also gave Gilbert his start as a geologist. Although Dana and Newberry are renowned early American geologists, their geomorphic contributions were overshadowed by the works of Powell, Gilbert, and William Morris Davis. Yet Dana and Newberry were the first ardent American proponents of fluvialism, providing strong roots that in just a few decades transformed western geology, roots nourished in large measure by the geologically fertile landscapes of the US Pacific Northwest.

","language":"English","publisher":"University of Chicago Press","doi":"10.1086/695701","usgsCitation":"O'Connor, J., 2018, James Dwight Dana and John Strong Newberry in the US Pacific Northwest: The roots of American fluvialism: Journal of Geology, v. 126, no. 2, p. 229-247, https://doi.org/10.1086/695701.","productDescription":"19 p.","startPage":"229","endPage":"247","ipdsId":"IP-090809","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":353066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"126","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6eae4b0da30c1bfbf59","contributors":{"authors":[{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":732351,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70196324,"text":"70196324 - 2018 - Ancient Martian aeolian processes and palaeomorphology reconstructed from the Stimson formation on the lower slope of Aeolis Mons, Gale crater, Mars","interactions":[],"lastModifiedDate":"2018-05-21T13:14:23","indexId":"70196324","displayToPublicDate":"2018-04-02T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3369,"text":"Sedimentology","active":true,"publicationSubtype":{"id":10}},"title":"Ancient Martian aeolian processes and palaeomorphology reconstructed from the Stimson formation on the lower slope of Aeolis Mons, Gale crater, Mars","docAbstract":"

Reconstruction of the palaeoenvironmental context of Martian sedimentary rocks is central to studies of ancient Martian habitability and regional palaeoclimate history. This paper reports the analysis of a distinct aeolian deposit preserved in Gale crater, Mars, and evaluates its palaeomorphology, the processes responsible for its deposition, and its implications for Gale crater geological history and regional palaeoclimate. Whilst exploring the sedimentary succession cropping out on the northern flank of Aeolis Mons, Gale crater, the Mars Science Laboratory rover Curiosity encountered a decametre‐thick sandstone succession, named the Stimson formation, unconformably overlying lacustrine deposits of the Murray formation. The sandstone contains sand grains characterized by high roundness and sphericity, and cross‐bedding on the order of 1 m in thickness, separated by sub‐horizontal bounding surfaces traceable for tens of metres across outcrops. The cross‐beds are composed of uniform thickness cross‐laminations interpreted as wind‐ripple strata. Cross‐sets are separated by sub‐horizontal bounding surfaces traceable for tens of metres across outcrops that are interpreted as dune migration surfaces. Grain characteristics and presence of wind‐ripple strata indicate deposition of the Stimson formation by aeolian processes. The absence of features characteristic of damp or wet aeolian sediment accumulation indicate deposition in a dry aeolian system. Reconstruction of the palaeogeomorphology suggests that the Stimson dune field was composed largely of simple sinuous crescentic dunes with a height of ca10 m, and wavelengths of ca 150 m, with local development of complex dunes. Analysis of cross‐strata dip‐azimuths indicates that the general dune migration direction and hence net sediment transport was towards the north‐east. The juxtaposition of a dry aeolian system unconformably above the lacustrine Murray formation represents starkly contrasting palaeoenvironmental and palaeoclimatic conditions. Stratigraphic relationships indicate that this transition records a significant break in time, with the Stimson formation being deposited after the Murray formation and stratigraphically higher Mount Sharp group rocks had been buried, lithified and subsequently eroded.

","language":"English","publisher":"Wiley","doi":"10.1111/sed.12469","usgsCitation":"Banham, S.G., Gupta, S., Rubin, D.M., Watkins, J.A., Sumner, D.Y., Edgett, K.S., Grotzinger, J.P., Lewis, K.W., Edgar, L.A., Stack, K.M., Barnes, R., Bell, J.F., Day, M.D., Ewing, R.C., Lapotre, M.G., Stein, N.T., Rivera-Hernandez, F., and Vasavada, A.R., 2018, Ancient Martian aeolian processes and palaeomorphology reconstructed from the Stimson formation on the lower slope of Aeolis Mons, Gale crater, Mars: Sedimentology, v. 65, no. 4, p. 993-1042, https://doi.org/10.1111/sed.12469.","productDescription":"50 p.","startPage":"993","endPage":"1042","ipdsId":"IP-095878","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":468864,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/sed.12469","text":"Publisher Index Page"},{"id":353071,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"65","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-12","publicationStatus":"PW","scienceBaseUri":"5afee6eae4b0da30c1bfbf5f","contributors":{"authors":[{"text":"Banham, Steve G.","contributorId":203783,"corporation":false,"usgs":false,"family":"Banham","given":"Steve","email":"","middleInitial":"G.","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":732310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gupta, Sanjeev","contributorId":172302,"corporation":false,"usgs":false,"family":"Gupta","given":"Sanjeev","email":"","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":732311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rubin, David M. 0000-0003-1169-1452 drubin@usgs.gov","orcid":"https://orcid.org/0000-0003-1169-1452","contributorId":3159,"corporation":false,"usgs":true,"family":"Rubin","given":"David","email":"drubin@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":732312,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watkins, Jessica A.","contributorId":203785,"corporation":false,"usgs":false,"family":"Watkins","given":"Jessica","email":"","middleInitial":"A.","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":732313,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sumner, Dawn Y.","contributorId":200403,"corporation":false,"usgs":false,"family":"Sumner","given":"Dawn","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":732314,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Edgett, Kenneth S.","contributorId":203786,"corporation":false,"usgs":false,"family":"Edgett","given":"Kenneth","email":"","middleInitial":"S.","affiliations":[{"id":36716,"text":"Malin Space Science Systems","active":true,"usgs":false}],"preferred":false,"id":732316,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grotzinger, John P.","contributorId":181502,"corporation":false,"usgs":false,"family":"Grotzinger","given":"John","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":732315,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lewis, Kevin W.","contributorId":203787,"corporation":false,"usgs":false,"family":"Lewis","given":"Kevin","email":"","middleInitial":"W.","affiliations":[{"id":36717,"text":"Johns Hopkins University","active":true,"usgs":false}],"preferred":false,"id":732317,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Edgar, Lauren A. 0000-0001-7512-7813 ledgar@usgs.gov","orcid":"https://orcid.org/0000-0001-7512-7813","contributorId":167501,"corporation":false,"usgs":true,"family":"Edgar","given":"Lauren","email":"ledgar@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":732309,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stack, Kathryn M. 0000-0003-3444-6695","orcid":"https://orcid.org/0000-0003-3444-6695","contributorId":146791,"corporation":false,"usgs":false,"family":"Stack","given":"Kathryn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":732318,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Barnes, Robert","contributorId":203788,"corporation":false,"usgs":false,"family":"Barnes","given":"Robert","email":"","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":732319,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bell, James F. III","contributorId":203789,"corporation":false,"usgs":false,"family":"Bell","given":"James","suffix":"III","email":"","middleInitial":"F.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":732320,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Day, Mackenzie D.","contributorId":203790,"corporation":false,"usgs":false,"family":"Day","given":"Mackenzie","email":"","middleInitial":"D.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":732321,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Ewing, Ryan C.","contributorId":203791,"corporation":false,"usgs":false,"family":"Ewing","given":"Ryan","email":"","middleInitial":"C.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":732322,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lapotre, Mathieu G.A.","contributorId":198421,"corporation":false,"usgs":false,"family":"Lapotre","given":"Mathieu","email":"","middleInitial":"G.A.","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":732323,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Stein, Nathan T.","contributorId":203792,"corporation":false,"usgs":false,"family":"Stein","given":"Nathan","email":"","middleInitial":"T.","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":732324,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Rivera-Hernandez, Frances","contributorId":203793,"corporation":false,"usgs":false,"family":"Rivera-Hernandez","given":"Frances","email":"","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":732325,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Vasavada, Ashwin R.","contributorId":200409,"corporation":false,"usgs":false,"family":"Vasavada","given":"Ashwin","email":"","middleInitial":"R.","affiliations":[],"preferred":true,"id":732326,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70199670,"text":"70199670 - 2018 - Validation of stable isotope ratio analysis to document the biodegradation and natural attenuation of RDX, ESTCP Project ER-201208","interactions":[],"lastModifiedDate":"2018-11-16T17:12:55","indexId":"70199670","displayToPublicDate":"2018-04-01T17:12:46","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Validation of stable isotope ratio analysis to document the biodegradation and natural attenuation of RDX, ESTCP Project ER-201208","docAbstract":"

Hexahydro-1,3,5-trinitro-1,3,5-triazine (RDX) is a common soil contaminant at current and former military facilities, including many training and testing ranges. Because RDX is readily transported through soils to the subsurface, this nitramine explosive now also impacts groundwater and drinking water at numerous locations across the country. A significant issue with RDX contamination on ranges and at other military installations is that it often occurs over expansive areas, where in situ or ex situ treatment technologies are difficult to implement. One potential alternative for military ranges and other facilities is monitored natural attenuation (MNA), in which contaminant degradation by natural processes, including biodegradation, are evaluated. However, one limitation of this approach for RDX is the inability to accurately evaluate whether the nitramine is biodegrading under field conditions, as rates may be relatively slow. One potential technique to overcome this limitation is the use of compound-specific stable isotope analysis (CSIA), where biological contaminant destruction can be documented as changes in the ratio of stable isotopes of specific elements in a molecule; for RDX, ratios of 15N/14N and 13C/12C are relevant. The objective of this project is to validate a CSIA method to confirm and constrain rates of aerobic and anaerobic biodegradation of RDX at field sites. This technique can be utilized by DoD to provide critical data to support MNA as a remedy for treating this energetic in groundwater, and confirm the effectiveness of in situ enhanced bioremediation remedies. The stable isotopic composition of NO3- and NO2- was also measured when these anions co-occurred with RDX to evaluate whether these potential degradation products from RDX could be used to further demonstrate MNA in the field.

","language":"English","publisher":"U.S. Department of Defense, Environmental Science and Technology Certification Program","usgsCitation":"Hatzinger, P.B., Fuller, M.E., Sturchio, N.C., and Bohlke, J., 2018, Validation of stable isotope ratio analysis to document the biodegradation and natural attenuation of RDX, ESTCP Project ER-201208, 144 p.","productDescription":"144 p.","ipdsId":"IP-097005","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":359533,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357693,"type":{"id":15,"text":"Index Page"},"url":"https://www.serdp-estcp.org/Program-Areas/Environmental-Restoration/Contaminated-Groundwater/Persistent-Contamination/ER-201208"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5befe5bde4b045bfcadf7f46","contributors":{"authors":[{"text":"Hatzinger, Paul B.","contributorId":149376,"corporation":false,"usgs":false,"family":"Hatzinger","given":"Paul","email":"","middleInitial":"B.","affiliations":[{"id":17721,"text":"Shaw Environmental, Princeton, NJ","active":true,"usgs":false}],"preferred":false,"id":746143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Mark E.","contributorId":192618,"corporation":false,"usgs":false,"family":"Fuller","given":"Mark","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":746144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sturchio, Neil C.","contributorId":149375,"corporation":false,"usgs":false,"family":"Sturchio","given":"Neil","email":"","middleInitial":"C.","affiliations":[{"id":15289,"text":"University of Illinois, Ven Te Chow Hydrosystems Laboratory","active":true,"usgs":false}],"preferred":false,"id":746145,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":746142,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70200890,"text":"70200890 - 2018 - Characterizing the source of potentially asbestos-bearing commercial vermiculite insulation using in situ IR spectroscopy","interactions":[],"lastModifiedDate":"2025-01-29T16:56:13.712949","indexId":"70200890","displayToPublicDate":"2018-04-01T15:16:23","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":738,"text":"American Mineralogist","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing the source of potentially asbestos-bearing commercial vermiculite insulation using in situ IR spectroscopy","docAbstract":"

Commercially produced vermiculite insulation from Libby, Montana, contains trace levels of asbestiform amphibole, which is known to cause asbestos-related diseases. When vermiculite insulation is found in a building, evaluation for its potential asbestos content traditionally involves collecting a sample from an attic or wall and submitting it for time-consuming analyses at an off-site laboratory. The goal of this study was to determine if in situ near-infrared reflectance measurements could be used to reliably identify the source of vermiculite ore and therefore its potential to contain asbestos. Spectra of 52 expanded ore samples, including attic insulation, commercial packing materials, and horticultural products from Libby, Montana; Louisa, Virginia; Enoree, South Carolina; Palabora, South Africa; and Jiangsu, China, were measured with a portable spectrometer. The mine sources for these vermiculite ores were identified based on collection location, when known, and on differences in elemental composition as measured by electron probe microanalysis. Reflectance spectra of the insulation samples show vibrational overtone and combination absorptions that vary in wavelength position and relative intensity depending on elemental composition and proportions of their constituent micas (i.e., vermiculite ore usually consists of a mixture of hydrobiotite and vermiculite mineral flakes). Band depth ratios of the 1.38/2.32, 1.40/1.42, and 2.24/2.38 μm absorptions allow determination of a vermiculite insulation's source and detection of its potential to contain amphibole, talc, and/or serpentine impurities. Spectroscopy cannot distinguish asbestiform vs. non-asbestiform amphiboles. However, if the spectrally determined mica composition and mineralogy of an insulation sample is consistent with ore from Libby, then it is likely that some portion of the sodic-calcic amphibole it contains is asbestiform, given that all of the nearly two dozen Libby vermiculite insulation samples examined with scanning electron microscopy in this study contain amphiboles. One sample of expanded vermiculite ore from multiple sources was recognized as a limitation of the spectral method, therefore an additional test (i.e., 2.24 μm absorption position vs. 2.24/2.38 μm band depth ratio) was incorporated into the spectral method to eliminate misclassification caused by such mixtures. With portable field spectrometers, the methodology developed can be used to determine vermiculite insulation's source and estimate its potential amphibole content, thereby providing low-cost analysis with onsite reporting to property owners.

","language":"English","publisher":"Mineralogical Society of America","doi":"10.2138/am-2018-6022","usgsCitation":"Swayze, G.A., Lowers, H.A., Benzel, W., Clark, R.N., Driscoll, R.L., Perlman, Z.S., Hoefen, T.M., and Dyar, M., 2018, Characterizing the source of potentially asbestos-bearing commercial vermiculite insulation using in situ IR spectroscopy: American Mineralogist, v. 103, no. 4, p. 517-549, https://doi.org/10.2138/am-2018-6022.","productDescription":"33 p.","startPage":"517","endPage":"549","ipdsId":"IP-077538","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":359431,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":362678,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/ja/70200890/70200890.pdf","text":"USGS open-access version of article","linkFileType":{"id":1,"text":"pdf"}}],"volume":"103","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bed4275e4b0b3fc5cf91c96","contributors":{"authors":[{"text":"Swayze, Gregg A. 0000-0002-1814-7823 gswayze@usgs.gov","orcid":"https://orcid.org/0000-0002-1814-7823","contributorId":518,"corporation":false,"usgs":true,"family":"Swayze","given":"Gregg","email":"gswayze@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":751258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":751259,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benzel, William 0000-0002-4085-1876 wbenzel@usgs.gov","orcid":"https://orcid.org/0000-0002-4085-1876","contributorId":3594,"corporation":false,"usgs":true,"family":"Benzel","given":"William","email":"wbenzel@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":751260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, Roger N. 0000-0002-7021-1220 rclark@usgs.gov","orcid":"https://orcid.org/0000-0002-7021-1220","contributorId":515,"corporation":false,"usgs":true,"family":"Clark","given":"Roger","email":"rclark@usgs.gov","middleInitial":"N.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":751261,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Driscoll, Rhonda L. 0000-0001-7725-8956 rdriscoll@usgs.gov","orcid":"https://orcid.org/0000-0001-7725-8956","contributorId":745,"corporation":false,"usgs":true,"family":"Driscoll","given":"Rhonda","email":"rdriscoll@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":751262,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Perlman, Zac S.","contributorId":210618,"corporation":false,"usgs":false,"family":"Perlman","given":"Zac","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":751263,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hoefen, Todd M. 0000-0002-3083-5987 thoefen@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5987","contributorId":403,"corporation":false,"usgs":true,"family":"Hoefen","given":"Todd","email":"thoefen@usgs.gov","middleInitial":"M.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":751264,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dyar, M. Darby","contributorId":14314,"corporation":false,"usgs":true,"family":"Dyar","given":"M. Darby","affiliations":[],"preferred":false,"id":751265,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70198423,"text":"70198423 - 2018 - Spatial factors of white-tailed deer herbivory assessment in the central Appalachian Mountains","interactions":[],"lastModifiedDate":"2018-08-03T14:31:56","indexId":"70198423","displayToPublicDate":"2018-04-01T14:31:38","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Spatial factors of white-tailed deer herbivory assessment in the central Appalachian Mountains","docAbstract":"

Because moderate to over-abundant white-tailed deer (Odocoileus virginianus) herbivory impacts biodiversity and can alter community function, ecological benchmarks of herbivory impact are needed to assess deer impacts. We evaluated spatial patterns of deer herbivory and their relation to herbivory assessment by evaluating woody vegetation along 20 transects at each of 30 sites spread across a wide range of deer herd densities and vegetative condition throughout the biodiverse Appalachian Mountains of Virginia, USA. Surprisingly, herbivory patterns and the availability of woody forage generally were unchanged among physiographic regions and land use diversity classes. However, some relationships between browsing pattern and vegetation varied with scale. The total quantity of vegetation browsed on a given site and at the transect scale were related positively to the availability of forage, as the proportion of stems browsed decreased as stem density increased. However, this was only true when all stems were considered equally. When stem densities by species were weighted for deer preference, the proportion of stems browsed had no relationship or increased with stem density. Compared to the value from all transects sampled, on average, the mean of ≥ 3 transects within a site was within 0.1 of the browsing ratio and stem densities were within 0.5 stems m−2. Our results suggest that one transect per square kilometer with a minimum of three transects may be sufficient for most browsing intensity survey requirements to assess herbivory impacts in the Appalachian region of Virginia. Still, inclusion of spatial factors to help partition variation of deer herbivory potentially may allow for improved precision and accuracy in the design of field herbivory impact assessment methods and improve their application across various landscape contexts.

","language":"English","publisher":"Springer","doi":"10.1007/s10661-018-6627-1","usgsCitation":"Kniowski, A.B., and Ford, W., 2018, Spatial factors of white-tailed deer herbivory assessment in the central Appalachian Mountains: Environmental Monitoring and Assessment, v. 190, p. 1-13, https://doi.org/10.1007/s10661-018-6627-1.","productDescription":"Article 248; 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-084036","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468865,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/99349","text":"External Repository"},{"id":356154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.69384765625,\n 36.589068371399115\n ],\n [\n -77.442626953125,\n 36.589068371399115\n ],\n [\n -77.442626953125,\n 39.51251701659638\n ],\n [\n -83.69384765625,\n 39.51251701659638\n ],\n [\n -83.69384765625,\n 36.589068371399115\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"190","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-25","publicationStatus":"PW","scienceBaseUri":"5b6fc473e4b0f5d57878ea8a","contributors":{"authors":[{"text":"Kniowski, Andrew B.","contributorId":191558,"corporation":false,"usgs":false,"family":"Kniowski","given":"Andrew","email":"","middleInitial":"B.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":741598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":741378,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70200757,"text":"70200757 - 2018 - Incorporating spatially heterogeneous infiltration capacity into hydrologic models with applications for simulating post‐wildfire debris flow initiation","interactions":[],"lastModifiedDate":"2018-10-31T14:06:03","indexId":"70200757","displayToPublicDate":"2018-04-01T14:05:57","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating spatially heterogeneous infiltration capacity into hydrologic models with applications for simulating post‐wildfire debris flow initiation","docAbstract":"

Soils in post‐wildfire environments are often characterized by a low infiltration capacity with a high degree of spatial heterogeneity relative to unburned areas. Debris flows are frequently initiated by run‐off in recently burned steeplands, making it critical to develop and test methods for incorporating spatial variability in infiltration capacity into hydrologic models. We use Monte Carlo simulations of run‐off generation over a soil with a spatially heterogenous saturated hydraulic conductivity (Ks) to derive an expression for an aerially averaged saturated hydraulic conductivity ( \"urn:x-wiley:hyp:media:hyp11458:hyp11458-math-0001\") that depends on the rainfall rate, the statistical properties of Ks, and the spatial correlation length scale associated with Ks. The proposed method for determining \"urn:x-wiley:hyp:media:hyp11458:hyp11458-math-0002\" is tested by simulating run‐off on synthetic topography over a wide range of spatial scales. Results provide a simplified expression for an effective saturated hydraulic conductivity that can be used to relate a distribution of small‐scale Ks measurements to infiltration and run‐off generation over larger spatial scales. Finally, we use a hydrologic model based on \"urn:x-wiley:hyp:media:hyp11458:hyp11458-math-0003\" to simulate run‐off and debris flow initiation at a recently burned catchment in the Santa Ana Mountains, CA, USA, and compare results to those obtained using an infiltration model based on the Soil Conservation Service Curve Number.

","language":"English","publisher":"Wiley","doi":"10.1002/hyp.11458","usgsCitation":"McGuire, L.A., Rengers, F.K., Kean, J.W., Staley, D.M., and Mirus, B.B., 2018, Incorporating spatially heterogeneous infiltration capacity into hydrologic models with applications for simulating post‐wildfire debris flow initiation: Hydrological Processes, v. 32, no. 9, p. 1175-1187, https://doi.org/10.1002/hyp.11458.","productDescription":"13 p.","startPage":"1175","endPage":"1187","ipdsId":"IP-093401","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":437968,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70K27R0","text":"USGS data release","linkHelpText":"Post-wildfire debris-flow monitoring data, 2014 Silverado Fire, Orange County, California, November 2014 to January 2016"},{"id":359040,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Ana Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.5917,\n 33.7458\n ],\n [\n -117.5833,\n 33.7458\n ],\n [\n -117.5833,\n 33.7625\n ],\n [\n -117.5917,\n 33.7625\n ],\n [\n -117.5917,\n 33.7458\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-06","publicationStatus":"PW","scienceBaseUri":"5c10a9e0e4b034bf6a7e54f4","contributors":{"authors":[{"text":"McGuire, Luke A. 0000-0001-8178-7922 lmcguire@usgs.gov","orcid":"https://orcid.org/0000-0001-8178-7922","contributorId":203420,"corporation":false,"usgs":false,"family":"McGuire","given":"Luke","email":"lmcguire@usgs.gov","middleInitial":"A.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":750392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":750393,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":750394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":750395,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":4064,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","middleInitial":"B.","affiliations":[{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":750396,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70200793,"text":"70200793 - 2018 - Plague in a colony of Gunnison's prairie dogs (Cynomys gunnisoni) despite three years of infusions of burrows with 0.05% deltamethrin to kill fleas","interactions":[],"lastModifiedDate":"2018-11-01T12:34:13","indexId":"70200793","displayToPublicDate":"2018-04-01T12:34:04","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Plague in a colony of Gunnison's prairie dogs (Cynomys gunnisoni) despite three years of infusions of burrows with 0.05% deltamethrin to kill fleas","docAbstract":"

At Valles Caldera National Preserve in New Mexico, US, infusing Gunnison's prairie dog (Cynomys gunnisoni) burrows with an insecticide dust containing 0.05% deltamethrin killed fleas which transmit bubonic plague. The reduction in the number of fleas per prairie dog was significant and dramatic immediately after infusions, with a suggestion that the reduction persisted for as long as 12 mo. Despite the lower flea counts, however, a plague epizootic killed >95% of prairie dogs after 3 yr of infusions (once per year). More research is necessary for a better understanding of the efficacy of insecticide dusts at lowering flea counts and protecting prairie dogs from plague.

","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2017-04-089","usgsCitation":"Hoogland, J.L., Biggins, D.E., Blackford, N., Eads, D., Long, D., Rivera Rodriguez, M., Ross, L.M., Tobey, S., and White, E.M., 2018, Plague in a colony of Gunnison's prairie dogs (Cynomys gunnisoni) despite three years of infusions of burrows with 0.05% deltamethrin to kill fleas: Journal of Wildlife Diseases, v. 54, no. 2, p. 347-351, https://doi.org/10.7589/2017-04-089.","productDescription":"5 p.","startPage":"347","endPage":"351","ipdsId":"IP-092807","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":359073,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a9e0e4b034bf6a7e54f7","contributors":{"authors":[{"text":"Hoogland, John L.","contributorId":210357,"corporation":false,"usgs":false,"family":"Hoogland","given":"John","email":"","middleInitial":"L.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":750542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":750543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blackford, Nathaniel","contributorId":210359,"corporation":false,"usgs":false,"family":"Blackford","given":"Nathaniel","email":"","affiliations":[{"id":27844,"text":"Middlebury College","active":true,"usgs":false}],"preferred":false,"id":750544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eads, David deads@usgs.gov","contributorId":200549,"corporation":false,"usgs":true,"family":"Eads","given":"David","email":"deads@usgs.gov","affiliations":[],"preferred":true,"id":750541,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Long, Dustin","contributorId":210360,"corporation":false,"usgs":false,"family":"Long","given":"Dustin","affiliations":[{"id":38107,"text":"Turner Endangered Species Fund","active":true,"usgs":false}],"preferred":false,"id":750545,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rivera Rodriguez, Mariana","contributorId":210366,"corporation":false,"usgs":false,"family":"Rivera Rodriguez","given":"Mariana","email":"","affiliations":[],"preferred":false,"id":750546,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ross, Lauren M.","contributorId":210362,"corporation":false,"usgs":false,"family":"Ross","given":"Lauren","email":"","middleInitial":"M.","affiliations":[{"id":38108,"text":"NA","active":true,"usgs":false}],"preferred":false,"id":750547,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tobey, Sarah","contributorId":210363,"corporation":false,"usgs":false,"family":"Tobey","given":"Sarah","email":"","affiliations":[{"id":38108,"text":"NA","active":true,"usgs":false}],"preferred":false,"id":750548,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"White, Emma M.","contributorId":210364,"corporation":false,"usgs":false,"family":"White","given":"Emma","email":"","middleInitial":"M.","affiliations":[{"id":36913,"text":"Occidental College","active":true,"usgs":false}],"preferred":false,"id":750549,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70201113,"text":"70201113 - 2018 - Defining “atmospheric river”: How the Glossary of Meteorology helped resolve a debate","interactions":[],"lastModifiedDate":"2018-11-29T11:51:57","indexId":"70201113","displayToPublicDate":"2018-04-01T11:51:49","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Defining “atmospheric river”: How the Glossary of Meteorology helped resolve a debate","title":"Defining “atmospheric river”: How the Glossary of Meteorology helped resolve a debate","docAbstract":"

Since the term “atmospheric river” (AR) first appeared in modern scientific literature in the early 1990s, it has generated debate about the meaning of the concept. A common popular definition is something along the lines of a “river in the sky,” albeit as a river of water vapor rather than of liquid. This general concept has come into regular use in the western United States and in some other regions affected by ARs, partly due to its use by media, and due to the intuitive nature of the concept. However, over the last 20 years there have been varying perspectives on the term in the technical community. These perspectives range roughly from considering it duplicative of preexisting concepts, such as the warm conveyor belt (WCB), to arguments that the analogy to terrestrial rivers is inappropriate, to being a primary topic of focused research, applications, and usage by water managers.

","language":"English","publisher":"American Meteorological Society","doi":"10.1175/BAMS-D-17-0157.1","usgsCitation":"Ralph, F.M., Dettinger, M.D., Cairns, M.M., Galarneau, T.J., and Eylander, J., 2018, Defining “atmospheric river”: How the Glossary of Meteorology helped resolve a debate: Bulletin of the American Meteorological Society, v. 99, no. 4, p. 837-839, https://doi.org/10.1175/BAMS-D-17-0157.1.","productDescription":"3 p.","startPage":"837","endPage":"839","ipdsId":"IP-086996","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":359792,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c0108d7e4b0815414cc2e07","contributors":{"authors":[{"text":"Ralph, F. Martin","contributorId":150276,"corporation":false,"usgs":false,"family":"Ralph","given":"F.","email":"","middleInitial":"Martin","affiliations":[{"id":17953,"text":"Earth Systems Research Lab, NOAA","active":true,"usgs":false}],"preferred":false,"id":752726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":752725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cairns, Mary M.","contributorId":210945,"corporation":false,"usgs":false,"family":"Cairns","given":"Mary","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":752727,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Galarneau, Thomas J.","contributorId":210914,"corporation":false,"usgs":false,"family":"Galarneau","given":"Thomas","email":"","middleInitial":"J.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":752728,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eylander, John","contributorId":210915,"corporation":false,"usgs":false,"family":"Eylander","given":"John","email":"","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":752729,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70227844,"text":"70227844 - 2018 - Genetic integrity, population status, and long-term viability of isolated populations of shoal bass in the upper Chattahoochee River basin, Georgia","interactions":[],"lastModifiedDate":"2022-02-01T17:36:45.094706","indexId":"70227844","displayToPublicDate":"2018-04-01T11:32:44","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/CHAT/NRR-2018/1620","title":"Genetic integrity, population status, and long-term viability of isolated populations of shoal bass in the upper Chattahoochee River basin, Georgia","docAbstract":"

This report characterizes the status of multiple isolated Shoal Bass (Micropterus cataractae) populations in the upper Chattahoochee River basin (UCRB), Georgia. The Shoal Bass, a sport fish endemic to the Apalachicola-Chattahoochee-Flint River (ACF) basin, is a fluvial-specialist species considered vulnerable to local extirpations and extinction due to habitat fragmentation and introgression with non-native congeners. Perhaps one of the most isolated populations of Shoal Bass exists in a 2-km reach of Big Creek, a tributary of the Chattahoochee River located near Roswell, Georgia. Big Creek is partially contained within the Chattahoochee River National Recreation Area, although the Big Creek watershed is riddled with urban land cover. Roswell Mill Dam limits the upstream extent of the Shoal Bass population at Big Creek, and the downstream extent is presumably limited to the confluence of Big Creek and the Chattahoochee River. This reach of the Chattahoochee River is thermally depressed because of coldwater releases from Lake Lanier, and is considered unsuitable for Shoal Bass. Herein, we examine the genetic integrity, population status, and long-term viability of the Shoal Bass population in Big Creek. We also examine two additional Shoal Bass populations that occur in the UCRB, specifically the Chestatee River and the upper Chattahoochee River, both of which are impounded at Lake Lanier. Together, the Shoal Bass inhabiting these three stream systems comprise a distinct genetic stock of Shoal Bass (Taylor 2017), underscoring the importance of conserving these populations towards maintaining the overall diversity and adaptive potential of the species. We assessed genetic diversity and estimated effective population sizes within these three rivers by genotyping fish with 16 microsatellite DNA markers. Results demonstrated that the Shoal Bass population in Big Creek has experienced high rates of introgression with non-native Smallmouth Bass (M. dolomieu), purportedly introduced into the Chattahoochee River in the past 10-15 years. Alarmingly, only 24% (15 of 62) of putative Shoal Bass collected from Big Creek were genetically pure Shoal Bass, whereas the majority of fish were first-filial (F1) generation hybrids and unidirectional backcrosses towards Shoal Bass. Fleeting opportunity may remain to conserve the native genome of the Shoal Bass population in Big Creek. High hybridization rates prevented genetic diversity analysis for the Big Creek population. Shoal Bass populations in the Chestatee and Chattahoochee rivers displayed levels of genetic diversity similar to populations that persist in other rivers in the ACF basin, namely the Flint and Chipola rivers. Effective population sizes of 93.8– 197.4 for the Chestatee and Chattahoochee rivers (combined) suggest that the conservation status of these populations is stable for the short-term, but may be at risk of losing genetic diversity and adaptive potential in the long-term. To estimate age and mortality of the three populations, we used fish scales and capture-markrecapture (CMR) as complementary, non-lethal methods for age estimation. Estimated ages of phenotypic Shoal Bass ranged from 1-12 years in all three populations, demonstrating increased longevity compared to populations elsewhere within the native range. Catch-curve estimates of annual mortality ranged from 18.4-23.7%, which are markedly lower than those observed in other Shoal Bass populations in the ACF basin. These differences in life-history characteristics underscore the need for the development of population-specific management and conservation strategies for Shoal Bass in the UCRB. The lowest recruitment variability (i.e., the variation in year-class strength) was observed in the Chestatee River, a forested watershed, whereas the highest variability was observed in Big Creek, an urbanized watershed. Recruitment strength in Big Creek was negatively influenced by discharge variability in the summer months, suggesting that flashy, sediment-laden flows hinder survival of recently hatched young. Other statistically significant models from Big Creek and the Chattahoochee River indicated that over-winter survival could be an important pinch-point for recruitment in UCRB populations. A multi-agency sampling effort was conducted from May 2013-May 2016 to estimate the population size of Shoal Bass occupying the 1-km of wadeable shoal habitats in Big Creek. Using CMR models, we estimated that approximately 219-348 Shoal Bass (≥ 70 mm total length) occupied the area throughout the duration of our study. These estimates largely reflect abundance of individuals aged 0-2 years, as only 9% (36 of 408) tagged fish were aged ≥ 7 years. Local abundance appeared similar to that reported for a population that inhabited Little Uchee Creek, a similar-sized tributary of the Chattahoochee River, prior to its recent functional extirpation. The low abundance of large, adult Shoal Bass further suggests the long-term viability of the Big Creek population may be in jeopardy. Perhaps most importantly, CMR estimates reflect abundance of phenotypic Shoal Bass – genetic analyses suggest the abundance of pure Shoal Bass could be an order of magnitude smaller. To evaluate the potential for adult Shoal Bass to emigrate from Big Creek into the mainstem Chattahoochee River, we tagged eight adults with acoustic telemetry tags and assessed their seasonal residency at two stationary receiver locations located in increasing proximity to the confluence with the Chattahoochee River. Fish took up residency near the confluence during the fall and winter months, during which time water temperatures in Big Creek were periodically colder than the Chattahoochee River. Although we were unable to document emigration, we conclude that the potential for emigration is highest during the winter months when the Chattahoochee River may be warmer than Big Creek. Two of the tagged fish were caught by anglers near the confluence, suggesting that angling pressure at Big Creek may be higher than previously suspected. Overall, this study observed unique life-history characteristics and characterized the population status of multiple Shoal Bass populations in the UCRB. Populations in the Chestatee and Chattahoochee rivers appear stable at present and likely represent the last remaining strongholds for pure Shoal Bass in the UCRB. Efforts to preserve forested watershed conditions, natural hydrology, and shoal habitats would contribute to the long-term persistence of Shoal Bass populations in these two rivers. Additionally, the detection of non-native Alabama Bass and their associated hybrids in both rivers is cause for concern. Diligent monitoring of hybridization dynamics between Alabama Bass and Shoal Bass is warranted, along with an assessment of Alabama Bass invasion extent upstream of Lake Lanier. The Shoal Bass population in Big Creek is threatened by elevated levels of introgression with nonnative Smallmouth Bass, recruitment variability, low abundance of adults, and isolation from other populations. Conservation intervention is urgently needed to restore and preserve this genetically distinct population, which would contribute to preservation of range wide genetic diversity and adaptability of the species. Additionally, an urban sport fishery for Shoal Bass at Big Creek has the potential to serve as a tool for increasing public awareness, engagement, and support of Shoal Bass conservation efforts in the UCRB. We suggest strategies for conservation of the remnant shoal habitats and Shoal Bass population in Big Creek, including potential development of a supplemental stocking program, selective removal of non-native congeners, and delivery of environmental education programs that could bolster awareness and appreciation.

","language":"English","publisher":"National Park Service","usgsCitation":"Taylor, A.T., and Long, J.M., 2018, Genetic integrity, population status, and long-term viability of isolated populations of shoal bass in the upper Chattahoochee River basin, Georgia: Natural Resource Report NPS/CHAT/NRR-2018/1620, x, 49 p.","productDescription":"x, 49 p.","ipdsId":"IP-093252","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395220,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":395219,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://irma.nps.gov/DataStore/DownloadFile/600778"}],"country":"United States","state":"Georgia","otherGeospatial":"Big Creek, Chattahoochee River, Chestatee River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.397216796875,\n 34.54954921593403\n ],\n [\n -83.70758056640625,\n 34.73484137177769\n ],\n [\n -84.4024658203125,\n 34.03900467904445\n ],\n [\n -84.22119140625,\n 33.87269600798948\n ],\n [\n -83.397216796875,\n 34.54954921593403\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Taylor, Andrew T.","contributorId":177197,"corporation":false,"usgs":false,"family":"Taylor","given":"Andrew","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":832509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":832415,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70198564,"text":"70198564 - 2018 - Reduced thermal tolerance during salinity acclimation in brook trout (Salvelinus fontinalis) can be rescued by prior treatment with cortisol","interactions":[],"lastModifiedDate":"2018-08-08T11:13:12","indexId":"70198564","displayToPublicDate":"2018-04-01T11:13:04","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2275,"text":"Journal of Experimental Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Reduced thermal tolerance during salinity acclimation in brook trout (Salvelinus fontinalis) can be rescued by prior treatment with cortisol","title":"Reduced thermal tolerance during salinity acclimation in brook trout (Salvelinus fontinalis) can be rescued by prior treatment with cortisol","docAbstract":"

The aims of this study were to assess whether thermal tolerance of brook trout (Salvelinus fontinalis) is affected during seawater (SW) acclimation and to investigate the role of cortisol in osmoregulation and thermal tolerance during SW acclimation. Freshwater (FW)-acclimated brook trout at 18°C (Tacc) were exposed to SW for 16 days, whilst maintaining a FW control. Fish were examined for critical thermal maximum (CTmax) 0 (before), 2, 5 and 16 days after SW exposure, and sampled at Tacc and CTmax for analysis of plasma cortisol, glucose and Cl−, gill Na+/K+-ATPase (NKA) activity and heat shock protein 70 (HSP70) abundance, and white muscle water content. At 2 days in SW, CTmax was significantly reduced (from 31 to 26°C), and then recovered by 16 days. This transient decrease in thermal tolerance coincided with a transient increase in plasma Cl− and decrease in muscle moisture content. Salinity itself had no effect on gill HSP70 abundance compared with the large and immediate effects of high temperature exposure during CTmax testing. To examine the role of cortisol in osmoregulation, brook trout were administered a cortisol implant (5 and 25 μg g−1 CORT) prior to SW exposure. Both CORT doses significantly increased their capacity to maintain plasma Cl− during SW acclimation. Treatment with the 25 μg g−1 CORT dose was shown to significantly improve CTmax after 2 days in SW, and CTmaxwas associated with plasma Cl− and muscle moisture content. These findings indicate that brook trout are sensitive to temperature during SW acclimation and that thermal tolerance is associated with ion and water balance during SW acclimation.

","language":"English","publisher":"The Company of Biologists","doi":"10.1242/jeb.169557","usgsCitation":"Shaugnessy, C.A., and McCormick, S.D., 2018, Reduced thermal tolerance during salinity acclimation in brook trout (Salvelinus fontinalis) can be rescued by prior treatment with cortisol: Journal of Experimental Biology, v. 221, Article jeb169557, https://doi.org/10.1242/jeb.169557.","productDescription":"Article jeb169557","ipdsId":"IP-086917","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":460973,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1242/jeb.169557","text":"Publisher Index Page"},{"id":356321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"221","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-01","publicationStatus":"PW","scienceBaseUri":"5b6fc473e4b0f5d57878ea8c","contributors":{"authors":[{"text":"Shaugnessy, Ciaran A.","contributorId":206857,"corporation":false,"usgs":false,"family":"Shaugnessy","given":"Ciaran","email":"","middleInitial":"A.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":741950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":741949,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70227850,"text":"70227850 - 2018 - Assessing the risk of dreissenid mussel invasion in Texas based on lake physical characteristics and potential for downstream dispersal","interactions":[],"lastModifiedDate":"2024-03-22T16:13:08.183249","indexId":"70227850","displayToPublicDate":"2018-04-01T11:10:35","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Assessing the risk of dreissenid mussel invasion in Texas based on lake physical characteristics and potential for downstream dispersal","docAbstract":"

ebra mussels (Dreissena polymorpha) and quagga mussels (Dreissena bugensis) were likely introduced from Ponto-Caspian Eurasia to the Laurentian Great Lakes inadvertently via ballast water release in the 1980s and have since spread across the US, including Texas. Their spread into the state, including reservoirs in both Brazos River and Colorado River basins, has resulted in a need to delimit suitable dreissenid habitat and dispersal potential in Texas. The objective of our research was to assess invasion risk in Texas by 1) predicting distribution of suitable habitat of zebra and quagga mussels using Maxent models; 2) refining lake-specific predictions for present zebra mussels via collection of physicochemical data; and 3) assessing the potential for downstream spread of zebra mussels by applying environmental DNA (eDNA) methods in the Leon and Lampasas Rivers downstream from the invaded Lakes Belton and Stillhouse Hollow, respectively.

Maxent models did not predict the occurrence of suitable habitat for quagga mussels within Texas. However, our models accurately identified global zebra mussel habitat (AUC = 0.919), and Bioclim layers representing temperature and precipitation data both strongly influenced predictions. Predicted “hotspots” of suitable zebra mussel habitat in Texas occurred along the Red and Sabine Rivers of north and east Texas, as well as patches of suitable habitat in central Texas between the Colorado and Brazos Rivers and extending inland along the Gulf Coast. Most of the Texas panhandle, west Texas extending toward El Paso, and the Rio Grande valley were predicted to provide poor habitat suitability.

Collection of physicochemical data (dissolved oxygen, pH, specific conductance, and temperature on-site as well as laboratory analysis for Ca, N, and P) from zebra mussel invaded lakes and a subset of identified high-risk lakes of North and Central Texas, did not aid predictions. Visual inspection of biplots of the first three components of a principle component analysis, which together accounted for ~80% of data variability, did not reveal separation between invaded and uninvaded lakes, and logistic regression analysis also failed to identify predictive relationships between measured variables and invasion status.

Using eDNA analysis, we detected the presence of zebra mussel eDNA at 11 of 12 sites and up to at least 90.7 river km downstream from a pair of infested reservoirs. Rate of positive detection among water samples at each site ranged from 1/5 to 5/5, and within positive water samples, rate of detection among technical replicates ranged from 1/8 to 8/8, suggesting considerable heterogeneity in the zebra mussel eDNA signal in both rivers. Furthermore, no clear spatial pattern in detection rate occurred.

Thus, a monitoring strategy that combines traditional sampling (e.g. settlement substrate samplers and microscopy) at sites immediately below a dam, and transitioning to more sensitive eDNA analysis at distances further from the dam may represent the most successful strategy for detection of dreissenid mussel downstream dispersal. Overall, we have demonstrated that while quagga mussels do not appear to represent an invasive threat in Texas, suitable habitat for continuing zebra mussel invasion exists within Texas, and stream and river connections may contribute to their spread. The threat of continued expansion of this poster-child for negative invasive species impacts warrants further prevention efforts, management, and research.

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Atlanta","active":true,"usgs":true}],"preferred":true,"id":832423,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70199113,"text":"70199113 - 2018 - Identifying cost-effective invasive species control to enhance endangered species populations in the Grand Canyon, USA","interactions":[],"lastModifiedDate":"2018-09-05T10:23:38","indexId":"70199113","displayToPublicDate":"2018-04-01T10:23:23","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Identifying cost-effective invasive species control to enhance endangered species populations in the Grand Canyon, USA","docAbstract":"

Recovering endangered species populations when confronted with the threat of invasive species is an ongoing natural resource management challenge. While eradication of the invasive species is often the optimal economic solution, it may not be a feasible nor desirable management action in other cases. For example, when invasive species are desired in one area, but disperse into areas managed for endangered species, managers may be interested in persistent, but cost-effective means of managing dispersers rather than eradicating the source. In the Colorado River, a nonnative rainbow trout (Oncorhynchus mykiss) sport fishery is desired within Glen Canyon National Recreation Area, however, dispersal downriver into the Grand Canyon National Park is not desired as rainbow trout negatively affect endangered humpback chub (Gila cypha). Here, we developed a bioeconomic model incorporating population abundance goals and cost-effectiveness analyses to approximate the optimal control strategies for invasive rainbow trout conditional on achieving endangered humpback chub adult population abundance goals. Model results indicated that the most cost-effective approach to achieve target adult humpback chub abundance was a high level of rainbow trout control over moderately high rainbow trout population abundance. Adult humpback chub abundance goals were achieved at relatively low rainbow trout abundance and control measures were not cost-effective at relatively high rainbow trout abundance. Our model considered population level dynamics, species interaction and economic costs in a multi-objective decision framework to provide a preferred solution to long-run management of invasive and native species.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2018.01.032","usgsCitation":"Bair, L.S., Yackulic, C.B., Springborn, M.R., Reimer, M.N., Bond, C.A., and Coggins, L.G., 2018, Identifying cost-effective invasive species control to enhance endangered species populations in the Grand Canyon, USA: Biological Conservation, v. 220, p. 12-20, https://doi.org/10.1016/j.biocon.2018.01.032.","productDescription":"9 p.","startPage":"12","endPage":"20","ipdsId":"IP-088418","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468867,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2018.01.032","text":"Publisher Index Page"},{"id":437969,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K16QPJ","text":"USGS data release","linkHelpText":"Bioeconomic model population data, Grand Canyon, Arizona, USA"},{"id":357075,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112,\n 36\n ],\n [\n -111.4013671875,\n 36\n ],\n [\n -111.4013671875,\n 37\n ],\n [\n -112,\n 37\n ],\n [\n -112,\n 36\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"220","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a2e2e4b0702d0e843005","contributors":{"authors":[{"text":"Bair, Lucas S. 0000-0002-9911-3624 lbair@usgs.gov","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":5270,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","email":"lbair@usgs.gov","middleInitial":"S.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":744143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":744144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Springborn, Michael R.","contributorId":207552,"corporation":false,"usgs":false,"family":"Springborn","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":37562,"text":"University of California Davis, 1 Shields Avenue Davis, CA 95616, USA","active":true,"usgs":false}],"preferred":false,"id":744145,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reimer, Matthew N.","contributorId":200052,"corporation":false,"usgs":false,"family":"Reimer","given":"Matthew","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":744146,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bond, Craig A.","contributorId":207553,"corporation":false,"usgs":false,"family":"Bond","given":"Craig","email":"","middleInitial":"A.","affiliations":[{"id":37563,"text":"RAND Corporation, 1200 S. Hayes St. Arlington, VA, 22202, USA","active":true,"usgs":false}],"preferred":false,"id":744147,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coggins, Lewis G.","contributorId":207554,"corporation":false,"usgs":false,"family":"Coggins","given":"Lewis","email":"","middleInitial":"G.","affiliations":[{"id":37564,"text":"U.S. Fish and Wildlife Service, PO Box 346, Bethel, AK, 99559, USA","active":true,"usgs":false}],"preferred":false,"id":744148,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70202089,"text":"70202089 - 2018 - T.D.A. Cockerell (1866–1948) of the University of Colorado: His contributions to the natural history of the California islands and the establishment of Channel Islands National Monument","interactions":[],"lastModifiedDate":"2019-02-11T10:15:12","indexId":"70202089","displayToPublicDate":"2018-04-01T10:15:05","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"T.D.A. Cockerell (1866–1948) of the University of Colorado: His contributions to the natural history of the California islands and the establishment of Channel Islands National Monument","docAbstract":"

Theodore Dru Alison Cockerell was a naturalist at the University of Colorado from 1904 to 1947 and studied botany, zoology, and paleontology in North and South America, Asia, Australia, Africa, and Europe. In the latter part of his career, he studied the California islands and published many papers on their natural history, 16 of them in four years (1937–1940). He made important contributions to the natural history of the islands in four distinct ways: entomology of the islands, including identification of a number of new species of bees; discovery of fossil marine invertebrate faunas and recognition that the zoogeography of the taxa reflects the position of the islands relative to converging cool and warm currents; discovery of abundant land snails, both living and in fossil form, and recognition that the fossils are in close stratigraphic association with mammoth fossils; and island biogeography, with considerations of species dispersal mechanisms and endemism. Newly discovered letters and memos also reveal that Cockerell played a pivotal role in the establishment of Channel Islands National Monument.

","language":"English","publisher":"Brigham Young University","doi":"10.3398/064.078.0304","usgsCitation":"Muhs, D., 2018, T.D.A. Cockerell (1866–1948) of the University of Colorado: His contributions to the natural history of the California islands and the establishment of Channel Islands National Monument: Western North American Naturalist, v. 78, no. 3, p. 247-271, https://doi.org/10.3398/064.078.0304.","productDescription":"25 p.","startPage":"247","endPage":"271","ipdsId":"IP-083632","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":488802,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol78/iss3/1","text":"External Repository"},{"id":361115,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":168575,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":756830,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70227453,"text":"70227453 - 2018 - Groundwater flow and heat transport for systems undergoing freeze-thaw: Intercomparison of numerical simulators for 2D test cases","interactions":[],"lastModifiedDate":"2022-01-17T14:30:19.192936","indexId":"70227453","displayToPublicDate":"2018-04-01T08:19:48","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater flow and heat transport for systems undergoing freeze-thaw: Intercomparison of numerical simulators for 2D test cases","docAbstract":"

In high-elevation, boreal and arctic regions, hydrological processes and associated water bodies can be strongly influenced by the distribution of permafrost. Recent field and modeling studies indicate that a fully-coupled multidimensional thermo-hydraulic approach is required to accurately model the evolution of these permafrost-impacted landscapes and groundwater systems. However, the relatively new and complex numerical codes being developed for coupled non-linear freeze-thaw systems require verification.

This issue is addressed by means of an intercomparison of thirteen numerical codes for two-dimensional test cases with several performance metrics (PMs). These codes comprise a wide range of numerical approaches, spatial and temporal discretization strategies, and computational efficiencies. Results suggest that the codes provide robust results for the test cases considered and that minor discrepancies are explained by computational precision. However, larger discrepancies are observed for some PMs resulting from differences in the governing equations, discretization issues, or in the freezing curve used by some codes.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.advwatres.2018.02.001","usgsCitation":"Grenier, C., Anbergen, H., Bense, V.F., Chanzy, Q., Coon, E., Collier, N., Costard, F., Ferry, M., Frampton, A., Frederick, J.M., Goncalves, J., Holmen, J., Jost, A., Kokh, S., Kurylyk, B.L., McKenzie, J.M., Molson, J.W., Mouche, E., Orgogozo, L., Pannetier, R., Riviere, A., Roux, N., Ruhaak, W., Scheidegger, J., Selroos, J., Therrien, R., Vidstrand, P., and Voss, C., 2018, Groundwater flow and heat transport for systems undergoing freeze-thaw: Intercomparison of numerical simulators for 2D test cases: Advances in Water Resources, v. 114, p. 196-218, https://doi.org/10.1016/j.advwatres.2018.02.001.","productDescription":"23 p.","startPage":"196","endPage":"218","ipdsId":"IP-094098","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468868,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-01729631","text":"External Repository"},{"id":394431,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Grenier, Christophe","contributorId":248640,"corporation":false,"usgs":false,"family":"Grenier","given":"Christophe","email":"","affiliations":[{"id":49963,"text":"Université Paris-Saclay","active":true,"usgs":false}],"preferred":false,"id":830968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anbergen, Hauke","contributorId":271144,"corporation":false,"usgs":false,"family":"Anbergen","given":"Hauke","email":"","affiliations":[{"id":56300,"text":"APS Antriebs-, Prüf- und Steuertechnik GmbH","active":true,"usgs":false}],"preferred":false,"id":830969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bense, Victor F.","contributorId":248636,"corporation":false,"usgs":false,"family":"Bense","given":"Victor","email":"","middleInitial":"F.","affiliations":[{"id":37803,"text":"Wageningen University","active":true,"usgs":false}],"preferred":false,"id":830970,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chanzy, Quentin","contributorId":271145,"corporation":false,"usgs":false,"family":"Chanzy","given":"Quentin","email":"","affiliations":[{"id":56301,"text":"ENS Cachan; Université Paris-Saclay","active":true,"usgs":false}],"preferred":false,"id":830971,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coon, Ethan","contributorId":271146,"corporation":false,"usgs":false,"family":"Coon","given":"Ethan","email":"","affiliations":[{"id":56302,"text":"LANL,ORNL","active":true,"usgs":false}],"preferred":false,"id":830972,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Collier, Nathaniel","contributorId":271147,"corporation":false,"usgs":false,"family":"Collier","given":"Nathaniel","email":"","affiliations":[{"id":56303,"text":"ORNL","active":true,"usgs":false}],"preferred":false,"id":830973,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Costard, François","contributorId":271148,"corporation":false,"usgs":false,"family":"Costard","given":"François","affiliations":[{"id":49963,"text":"Université Paris-Saclay","active":true,"usgs":false}],"preferred":false,"id":830974,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ferry, Michel","contributorId":271149,"corporation":false,"usgs":false,"family":"Ferry","given":"Michel","email":"","affiliations":[{"id":56304,"text":"MFRDC","active":true,"usgs":false}],"preferred":false,"id":830975,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Frampton, Andrew","contributorId":271150,"corporation":false,"usgs":false,"family":"Frampton","given":"Andrew","email":"","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":830976,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Frederick, Jennifer M. 0000-0003-2414-778X","orcid":"https://orcid.org/0000-0003-2414-778X","contributorId":208631,"corporation":false,"usgs":false,"family":"Frederick","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[{"id":37851,"text":"Sandia National Laboratories, Albuquerque, New Mexico, UNITED STATES","active":true,"usgs":false}],"preferred":false,"id":830977,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Goncalves, Julio","contributorId":271151,"corporation":false,"usgs":false,"family":"Goncalves","given":"Julio","email":"","affiliations":[{"id":56305,"text":"Aix-Marseille 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Johanna","contributorId":271161,"corporation":false,"usgs":false,"family":"Scheidegger","given":"Johanna","email":"","affiliations":[{"id":25567,"text":"British Geological Survey","active":true,"usgs":false}],"preferred":false,"id":830991,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Selroos, Jan-Olof","contributorId":271162,"corporation":false,"usgs":false,"family":"Selroos","given":"Jan-Olof","email":"","affiliations":[{"id":56310,"text":"Swedish Nuclear Fuel and Waste Management Company","active":true,"usgs":false}],"preferred":false,"id":830992,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Therrien, Rene","contributorId":271163,"corporation":false,"usgs":false,"family":"Therrien","given":"Rene","email":"","affiliations":[{"id":56273,"text":"Université Laval","active":true,"usgs":false}],"preferred":false,"id":830993,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Vidstrand, 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